From 49e44b2d566fe4e497569ef4d7956642da8df810 Mon Sep 17 00:00:00 2001 From: Rahul Kakodkar <59067790+cacodcar@users.noreply.github.com> Date: Fri, 1 Dec 2023 11:41:24 -0600 Subject: [PATCH] Delete examples directory --- examples/GUI/coffee.ipynb | 991 --- examples/GUI/coffee.xlsx | Bin 17600 -> 0 bytes examples/GUI/excel-energiapy.ipynb | 796 --- examples/GUI/input.xlsx | Bin 24754 -> 0 bytes .../IPCE/ProjectCode_EnergyEfficiency.ipynb | 312 - examples/IPCE/ProjectCode_ReduceCost.ipynb | 1398 ---- examples/IPCE/project.ipynb | 1417 ---- examples/a2z/a2z.ipynb | 2052 ------ examples/a2z/lp.ipynb | 937 --- examples/a2z/parametric-uncertainty.ipynb | 2496 ------- examples/a2z/parametric.ipynb | 1571 ----- examples/aggregation/ahc-2.ipynb | 1363 ---- examples/aggregation/ahc.ipynb | 844 --- examples/aggregation/dtw.ipynb | 618 -- examples/chance/chance.ipynb | 996 --- examples/chance/chance_copy.ipynb | 811 --- examples/chance/chance_copy_2.ipynb | 653 -- examples/chance/chance_copy_3.ipynb | 1381 ---- examples/emission/emission.ipynb | 2752 -------- examples/material/ESCAPE34-material.ipynb | 2686 -------- examples/material/material.ipynb | 1447 ---- examples/material/material_yilun.ipynb | 1165 ---- examples/multimode/multimode.ipynb | 1065 --- examples/multiparmetric/mpLP.ipynb | 675 -- examples/multiparmetric/mpLP_copy.ipynb | 2259 ------ examples/multiperiod-examples/base-case.ipynb | 1675 ----- .../multiperiod-examples/blue-hydrogen.ipynb | 1603 ----- .../multiperiod-examples/deterministic.ipynb | 1404 ---- .../multiperiod-examples/green-hydrogen.ipynb | 1657 ----- examples/multiperiod-examples/ml-mp.ipynb | 1590 ----- .../multiperiod-examples/ml-sp-milp.ipynb | 1523 ----- examples/multiperiod-examples/ml-sp.ipynb | 1288 ---- examples/multiperiod-examples/multiloc.ipynb | 1576 ----- .../multiperiod-examples/multiperiod.ipynb | 1101 --- examples/multiperiod-examples/results.ipynb | 135 - examples/multiperiod-examples/sl-mp.ipynb | 1739 ----- .../multiperiod-examples/sl-mp_epsilon.ipynb | 2660 -------- .../sl-sp-milp copy 2.ipynb | 1388 ---- .../sl-sp-milp copy.ipynb | 1533 ----- .../multiperiod-examples/sl-sp-milp.ipynb | 2166 ------ examples/multiperiod-examples/sl-sp.ipynb | 1764 ----- examples/publication/LP.ipynb | 3174 --------- examples/publication/MILP.ipynb | 1197 ---- examples/publication/bilevel.ipynb | 1535 ----- examples/publication/lp_for_parametric.ipynb | 740 -- examples/publication/master.ipynb | 2239 ------ examples/publication/master_multiperiod.ipynb | 6055 ----------------- examples/publication/parametric.ipynb | 3511 ---------- examples/publication/scenario_blue.ipynb | 1572 ----- examples/publication/scenario_full.ipynb | 1764 ----- examples/publication/scenario_green.ipynb | 1472 ---- examples/publication/scenario_max.ipynb | 1938 ------ examples/publication/scenario_mean.ipynb | 1732 ----- examples/publication/scenario_min.ipynb | 1735 ----- examples/publication/scenario_sl.ipynb | 1450 ---- examples/small/small copy.ipynb | 1381 ---- examples/small/small-lp.ipynb | 391 -- examples/small/small-mb.ipynb | 1393 ---- examples/small/small-mp.ipynb | 369 - examples/small/small.ipynb | 1474 ---- 60 files changed, 90609 deletions(-) delete mode 100644 examples/GUI/coffee.ipynb delete mode 100644 examples/GUI/coffee.xlsx delete mode 100644 examples/GUI/excel-energiapy.ipynb delete mode 100644 examples/GUI/input.xlsx delete mode 100644 examples/IPCE/ProjectCode_EnergyEfficiency.ipynb delete mode 100644 examples/IPCE/ProjectCode_ReduceCost.ipynb delete mode 100644 examples/IPCE/project.ipynb delete mode 100644 examples/a2z/a2z.ipynb delete mode 100644 examples/a2z/lp.ipynb delete mode 100644 examples/a2z/parametric-uncertainty.ipynb delete mode 100644 examples/a2z/parametric.ipynb delete mode 100644 examples/aggregation/ahc-2.ipynb delete mode 100644 examples/aggregation/ahc.ipynb delete mode 100644 examples/aggregation/dtw.ipynb delete mode 100644 examples/chance/chance.ipynb delete mode 100644 examples/chance/chance_copy.ipynb delete mode 100644 examples/chance/chance_copy_2.ipynb delete mode 100644 examples/chance/chance_copy_3.ipynb delete mode 100644 examples/emission/emission.ipynb delete mode 100644 examples/material/ESCAPE34-material.ipynb delete mode 100644 examples/material/material.ipynb delete mode 100644 examples/material/material_yilun.ipynb delete mode 100644 examples/multimode/multimode.ipynb delete mode 100644 examples/multiparmetric/mpLP.ipynb delete mode 100644 examples/multiparmetric/mpLP_copy.ipynb delete mode 100644 examples/multiperiod-examples/base-case.ipynb delete mode 100644 examples/multiperiod-examples/blue-hydrogen.ipynb delete mode 100644 examples/multiperiod-examples/deterministic.ipynb delete mode 100644 examples/multiperiod-examples/green-hydrogen.ipynb delete mode 100644 examples/multiperiod-examples/ml-mp.ipynb delete mode 100644 examples/multiperiod-examples/ml-sp-milp.ipynb delete mode 100644 examples/multiperiod-examples/ml-sp.ipynb delete mode 100644 examples/multiperiod-examples/multiloc.ipynb delete mode 100644 examples/multiperiod-examples/multiperiod.ipynb delete mode 100644 examples/multiperiod-examples/results.ipynb delete mode 100644 examples/multiperiod-examples/sl-mp.ipynb delete mode 100644 examples/multiperiod-examples/sl-mp_epsilon.ipynb delete mode 100644 examples/multiperiod-examples/sl-sp-milp copy 2.ipynb delete mode 100644 examples/multiperiod-examples/sl-sp-milp copy.ipynb delete mode 100644 examples/multiperiod-examples/sl-sp-milp.ipynb delete mode 100644 examples/multiperiod-examples/sl-sp.ipynb delete mode 100644 examples/publication/LP.ipynb delete mode 100644 examples/publication/MILP.ipynb delete mode 100644 examples/publication/bilevel.ipynb delete mode 100644 examples/publication/lp_for_parametric.ipynb delete mode 100644 examples/publication/master.ipynb delete mode 100644 examples/publication/master_multiperiod.ipynb delete mode 100644 examples/publication/parametric.ipynb delete mode 100644 examples/publication/scenario_blue.ipynb delete mode 100644 examples/publication/scenario_full.ipynb delete mode 100644 examples/publication/scenario_green.ipynb delete mode 100644 examples/publication/scenario_max.ipynb delete mode 100644 examples/publication/scenario_mean.ipynb delete mode 100644 examples/publication/scenario_min.ipynb delete mode 100644 examples/publication/scenario_sl.ipynb delete mode 100644 examples/small/small copy.ipynb delete mode 100644 examples/small/small-lp.ipynb delete mode 100644 examples/small/small-mb.ipynb delete mode 100644 examples/small/small-mp.ipynb delete mode 100644 examples/small/small.ipynb diff --git a/examples/GUI/coffee.ipynb b/examples/GUI/coffee.ipynb deleted file mode 100644 index d087f36c..00000000 --- a/examples/GUI/coffee.ipynb +++ /dev/null @@ -1,991 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Coffee Supply Chain (using excel)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas \n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result \n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Input Data**" - ] - }, - { - "cell_type": "code", - "execution_count": 273, - "metadata": {}, - "outputs": [], - "source": [ - "input_ = 'coffee.xlsx'" - ] - }, - { - "cell_type": "code", - "execution_count": 274, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "resource_input = pandas.read_excel(input_, sheet_name= 'Resources', index_col= 'name')\n", - "process_input = pandas.read_excel(input_, sheet_name= 'Processes')\n", - "conversion = pandas.read_excel(input_, sheet_name= 'Conversion', index_col= 'process')\n", - "demand_factor = pandas.read_excel(input_, sheet_name= 'DemandFactors')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 275, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
coffee_brewed
01.0
10.9
20.9
31.0
40.6
50.4
60.4
\n", - "
" - ], - "text/plain": [ - " coffee_brewed\n", - "0 1.0\n", - "1 0.9\n", - "2 0.9\n", - "3 1.0\n", - "4 0.6\n", - "5 0.4\n", - "6 0.4" - ] - }, - "execution_count": 275, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "demand_factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare temporal scale**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Consider four seasons in a year.\n", - "\n", - "Network decisions are taken annually (scale level 0)\n", - "\n", - "Scheduling decisions are taken seasonally (scale level 1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 276, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list= [len(demand_factor)])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare resources**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be declared with attributes such as maximum consumption (cons_max), resource price (price), maximum allowed inventory (store_max)\n", - "\n", - "As also whether they can be discharged (sell), have to meet demand (demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 277, - "metadata": {}, - "outputs": [], - "source": [ - "resource_list = []\n", - "for i in range(len(resource_input.index)):\n", - " resource_list.append(Resource(name= resource_input.index[i], cons_max= resource_input['cons_max'][i], loss = resource_input['loss'][i], \\\n", - " revenue = resource_input['revenue'][i], price = resource_input['price'][i], store_max = resource_input['store_max'][i], \\\n", - " store_min = resource_input['store_min'][i], sell = bool(resource_input['sell'][i]), demand = bool(resource_input['demand'][i]), \\\n", - " basis = resource_input['basis'][i], block = resource_input['block'][i], varying = resource_input['varying'][i], \\\n", - " label = resource_input['label'][i], gwp = resource_input['gwp'][i]))" - ] - }, - { - "cell_type": "code", - "execution_count": 278, - "metadata": {}, - "outputs": [], - "source": [ - "conversion_dict = {process: {resource: conversion[resource].loc[process] for resource in conversion.columns if abs(conversion[resource].loc[process]) != 0} for process in conversion.index}" - ] - }, - { - "cell_type": "code", - "execution_count": 279, - "metadata": {}, - "outputs": [], - "source": [ - "def resource_gttr(conversion_dict):\n", - " dict_ = {i: None for i in conversion_dict.keys()}\n", - " for i in conversion_dict.keys():\n", - " dict_[i] = {[k for k in resource_list if k.name == j][0]: conversion_dict[i][j] for j in conversion_dict[i].keys()}\n", - " return dict_\n", - "conversion_dict = resource_gttr(conversion_dict= conversion_dict)" - ] - }, - { - "cell_type": "code", - "execution_count": 280, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = []\n", - "for i in range(len(process_input['name'])):\n", - " process_list.append(Process(name= process_input['name'][i], conversion= conversion_dict[process_input['name'][i]], capex= process_input['capex'][i], fopex= process_input['fopex'][i], vopex= process_input['vopex'][i]\\\n", - " ,prod_max= process_input['prod_max'][i], gwp = process_input['gwp'][i]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Locations are essentially a set of processes, the required resources are collected implicitly.\n", - "\n", - "Location-wise capacity, demand, and cost factors can be provided. \n", - "\n", - "The scales of the capacity and demand data need to be provided as well." - ] - }, - { - "cell_type": "code", - "execution_count": 281, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[coffee_cherries,\n", - " dried_cherries,\n", - " husk,\n", - " green beans,\n", - " whole_beans,\n", - " coffee_silverskin,\n", - " coffee_roasted,\n", - " coffee_ground,\n", - " coffee_ground_spent,\n", - " coffee_brewed,\n", - " water,\n", - " power]" - ] - }, - "execution_count": 281, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "resource_list" - ] - }, - { - "cell_type": "code", - "execution_count": 282, - "metadata": {}, - "outputs": [], - "source": [ - "def factor_gttr(factor, list_):\n", - " dict_ = {i: pandas.DataFrame(factor[i.name]) for i in list_ if i.demand == True}\n", - " return dict_" - ] - }, - { - "cell_type": "code", - "execution_count": 283, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
coffee_brewed
01.0
10.9
20.9
31.0
40.6
50.4
60.4
\n", - "
" - ], - "text/plain": [ - " coffee_brewed\n", - "0 1.0\n", - "1 0.9\n", - "2 0.9\n", - "3 1.0\n", - "4 0.6\n", - "5 0.4\n", - "6 0.4" - ] - }, - "execution_count": 283, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "demand_factor" - ] - }, - { - "cell_type": "code", - "execution_count": 284, - "metadata": {}, - "outputs": [], - "source": [ - "demand_factor = factor_gttr(demand_factor, resource_list)" - ] - }, - { - "cell_type": "code", - "execution_count": 285, - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name='place', processes= set(process_list), demand_factor = demand_factor, capacity_scale_level= 0, demand_scale_level = 0, scales=scales, label='some place')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent.\n", - "\n", - "The demand, network, scheduling, and expenditure scales need to be provided. They all default to 0." - ] - }, - { - "cell_type": "code", - "execution_count": 286, - "metadata": {}, - "outputs": [], - "source": [ - "case = Scenario(name= 'case', network= place, demand = {place: {i: resource_input['demand_level'][i.name] for i in resource_list if i.demand == True}}, scales= scales,\\\n", - " network_scale_level = 0, demand_scale_level = 0, expenditure_scale_level = 0, label= 'small scenario')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Formulate MILP**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be formulated using different constraints and objectives.\n", - "\n", - "milp is a pyomo instance, additional constraints can be provided in a bespoke manner" - ] - }, - { - "cell_type": "code", - "execution_count": 287, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint production mode\n", - "constraint production mode facility\n", - "constraint production mode binary\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential material\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint nameplate inventory\n", - "constraint storage facility\n", - "constraint min storage facility\n", - "constraint nameplate production\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "cost objective\n" - ] - } - ], - "source": [ - "milp = formulate(scenario= case, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.MODE, Constraints.EMISSION}, \\\n", - " objective= Objective.COST)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Solve**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To solve the model, the solve requires a scenario and a modeling instance to be provided. \n", - "\n", - "Also a solver needs to be chosen." - ] - }, - { - "cell_type": "code", - "execution_count": 288, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 833 rows, 894 columns and 2429 nonzeros\n", - "Model fingerprint: 0x0b0eef8a\n", - "Variable types: 784 continuous, 110 integer (110 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 3e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e+03, 1e+06]\n", - "Presolve removed 833 rows and 894 columns\n", - "Presolve time: 0.00s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.01 seconds (0.00 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.81528e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.815280133333e+07, best bound 1.815280133333e+07, gap 0.0000%\n" - ] - } - ], - "source": [ - "results = solve(scenario = case, instance= milp, solver= 'gurobi', name=f\"MILP\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Results**" - ] - }, - { - "cell_type": "code", - "execution_count": 289, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'husk', 0): 1944.444444444444,\n", - " ('place', 'husk', 1): 1749.9999999999995,\n", - " ('place', 'husk', 2): 1749.9999999999995,\n", - " ('place', 'husk', 3): 1944.444444444444,\n", - " ('place', 'husk', 4): 1166.6666666666665,\n", - " ('place', 'husk', 5): 777.7777777777776,\n", - " ('place', 'husk', 6): 777.7777777777776,\n", - " ('place', 'coffee_silverskin', 0): 583.3333333333334,\n", - " ('place', 'coffee_silverskin', 1): 525.0,\n", - " ('place', 'coffee_silverskin', 2): 525.0,\n", - " ('place', 'coffee_silverskin', 3): 583.3333333333334,\n", - " ('place', 'coffee_silverskin', 4): 350.0,\n", - " ('place', 'coffee_silverskin', 5): 233.33333333333334,\n", - " ('place', 'coffee_silverskin', 6): 233.33333333333334,\n", - " ('place', 'coffee_brewed', 0): 6999.999999999999,\n", - " ('place', 'coffee_brewed', 1): 6299.999999999999,\n", - " ('place', 'coffee_brewed', 2): 6299.999999999999,\n", - " ('place', 'coffee_brewed', 3): 6999.999999999999,\n", - " ('place', 'coffee_brewed', 4): 4199.999999999999,\n", - " ('place', 'coffee_brewed', 5): 2799.9999999999995,\n", - " ('place', 'coffee_brewed', 6): 2799.9999999999995,\n", - " ('place', 'whole_beans', 0): 3849.999999999999,\n", - " ('place', 'whole_beans', 1): 3464.999999999999,\n", - " ('place', 'whole_beans', 2): 3464.999999999999,\n", - " ('place', 'whole_beans', 3): 3849.999999999999,\n", - " ('place', 'whole_beans', 4): 2309.9999999999995,\n", - " ('place', 'whole_beans', 5): 1539.9999999999995,\n", - " ('place', 'whole_beans', 6): 1539.9999999999995,\n", - " ('place', 'coffee_ground_spent', 0): 1399.9999999999995,\n", - " ('place', 'coffee_ground_spent', 1): 1259.9999999999995,\n", - " ('place', 'coffee_ground_spent', 2): 1259.9999999999995,\n", - " ('place', 'coffee_ground_spent', 3): 1399.9999999999995,\n", - " ('place', 'coffee_ground_spent', 4): 839.9999999999997,\n", - " ('place', 'coffee_ground_spent', 5): 559.9999999999998,\n", - " ('place', 'coffee_ground_spent', 6): 559.9999999999998}" - ] - }, - "execution_count": 289, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['S']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be summarized as shown below:" - ] - }, - { - "cell_type": "code", - "execution_count": 290, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SUMMARY:\n", - " number of constraints: 833\n", - " number of variables: 894\n", - " number of binary variables: 110\n", - " number of integer variables: 110\n", - " number of continuous variables: 674\n" - ] - } - ], - "source": [ - "results.model_summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Plot results*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some handy plotting functions such as schedule can plot the production, consumption, sales, inventory schedules" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All inputs are stored in results.component\n", - "\n", - "All outputs are stored in results.output\n", - "\n", - "Values can be accessed as shown below" - ] - }, - { - "cell_type": "code", - "execution_count": 291, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'Hulling', 0): 7777.7777777777665,\n", - " ('place', 'Hulling', 1): 7000.0,\n", - " ('place', 'Hulling', 2): 7000.0,\n", - " ('place', 'Hulling', 3): 7777.7777777777665,\n", - " ('place', 'Hulling', 4): 4666.666666666657,\n", - " ('place', 'Hulling', 5): 3111.111111111095,\n", - " ('place', 'Hulling', 6): 3111.111111111095,\n", - " ('place', 'Drying', 0): 9722.222222222204,\n", - " ('place', 'Drying', 1): 8749.999999999985,\n", - " ('place', 'Drying', 2): 8749.999999999985,\n", - " ('place', 'Drying', 3): 9722.222222222204,\n", - " ('place', 'Drying', 4): 5833.333333333314,\n", - " ('place', 'Drying', 5): 3888.888888888876,\n", - " ('place', 'Drying', 6): 3888.888888888876,\n", - " ('place', 'Grinding', 0): 1400.0,\n", - " ('place', 'Grinding', 1): 1260.0,\n", - " ('place', 'Grinding', 2): 1260.0,\n", - " ('place', 'Grinding', 3): 1400.0,\n", - " ('place', 'Grinding', 4): 840.0,\n", - " ('place', 'Grinding', 5): 560.0,\n", - " ('place', 'Grinding', 6): 560.0,\n", - " ('place', 'Brewing', 0): 1400.0,\n", - " ('place', 'Brewing', 1): 1260.0,\n", - " ('place', 'Brewing', 2): 1260.0,\n", - " ('place', 'Brewing', 3): 1400.0,\n", - " ('place', 'Brewing', 4): 840.0,\n", - " ('place', 'Brewing', 5): 560.0,\n", - " ('place', 'Brewing', 6): 560.0,\n", - " ('place', 'Roasting', 0): 5833.333333333314,\n", - " ('place', 'Roasting', 1): 5250.0,\n", - " ('place', 'Roasting', 2): 5250.0,\n", - " ('place', 'Roasting', 3): 5833.333333333314,\n", - " ('place', 'Roasting', 4): 3500.0,\n", - " ('place', 'Roasting', 5): 2333.333333333314,\n", - " ('place', 'Roasting', 6): 2333.333333333314}" - ] - }, - "execution_count": 291, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 292, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt \n", - "from matplotlib import rc" - ] - }, - { - "cell_type": "code", - "execution_count": 293, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize = (6,4))\n", - "ax.plot(['M', 'Tu', 'W', 'Th', 'F', 'Sa', 'Su'], [5000*1, 5000*0.9, 5000*0.9, 5000*1, 5000*0.6, 5000*0.4, 5000*0.4], linestyle = '--')\n", - "plt.ylim((0, 5500))\n", - "plt.title('Coffee demand through a week')\n", - "plt.grid(alpha = 0.4)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 294, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results= results, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'place', fig_size= (8,6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 295, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'coffee_cherries', 0): 2527777.7777777775,\n", - " ('place', 'coffee_cherries', 1): 2527777.7777777775,\n", - " ('place', 'coffee_cherries', 2): 2527777.7777777775,\n", - " ('place', 'coffee_cherries', 3): 2527777.7777777775,\n", - " ('place', 'coffee_cherries', 4): 2527777.7777777775,\n", - " ('place', 'coffee_cherries', 5): 2527777.7777777775,\n", - " ('place', 'coffee_cherries', 6): 2527777.7777777775,\n", - " ('place', 'water', 0): 1455999.9999999998,\n", - " ('place', 'water', 1): 1455999.9999999998,\n", - " ('place', 'water', 2): 1455999.9999999998,\n", - " ('place', 'water', 3): 1455999.9999999998,\n", - " ('place', 'water', 4): 1455999.9999999998,\n", - " ('place', 'water', 5): 1455999.9999999998,\n", - " ('place', 'water', 6): 1455999.9999999998,\n", - " ('place', 'power', 0): 10839111.111111104,\n", - " ('place', 'power', 1): 10839111.111111104,\n", - " ('place', 'power', 2): 10839111.111111104,\n", - " ('place', 'power', 3): 10839111.111111104,\n", - " ('place', 'power', 4): 10839111.111111104,\n", - " ('place', 'power', 5): 10839111.111111104,\n", - " ('place', 'power', 6): 10839111.111111104}" - ] - }, - "execution_count": 295, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['global_warming_potential_resource']" - ] - }, - { - "cell_type": "code", - "execution_count": 296, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize = (6,4))\n", - "ax.bar(['water', 'power', 'coffee cultivation'], [1040000, 7742222, 1805555], color = 'indianred')\n", - "# plt.ylim((0, 5500))\n", - "plt.title('sources of resource emissions')\n", - "plt.grid(alpha = 0.4)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 297, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'Hulling', 0): 233333333.333333,\n", - " ('place', 'Hulling', 1): 210000000.0,\n", - " ('place', 'Hulling', 2): 210000000.0,\n", - " ('place', 'Hulling', 3): 233333333.333333,\n", - " ('place', 'Hulling', 4): 139999999.9999997,\n", - " ('place', 'Hulling', 5): 93333333.33333285,\n", - " ('place', 'Hulling', 6): 93333333.33333285,\n", - " ('place', 'Drying', 0): 194444444.4444441,\n", - " ('place', 'Drying', 1): 174999999.9999997,\n", - " ('place', 'Drying', 2): 174999999.9999997,\n", - " ('place', 'Drying', 3): 194444444.4444441,\n", - " ('place', 'Drying', 4): 116666666.66666628,\n", - " ('place', 'Drying', 5): 77777777.77777752,\n", - " ('place', 'Drying', 6): 77777777.77777752,\n", - " ('place', 'Grinding', 0): 420000000.0,\n", - " ('place', 'Grinding', 1): 378000000.0,\n", - " ('place', 'Grinding', 2): 378000000.0,\n", - " ('place', 'Grinding', 3): 420000000.0,\n", - " ('place', 'Grinding', 4): 252000000.0,\n", - " ('place', 'Grinding', 5): 168000000.0,\n", - " ('place', 'Grinding', 6): 168000000.0,\n", - " ('place', 'Brewing', 0): 84000000.0,\n", - " ('place', 'Brewing', 1): 75600000.0,\n", - " ('place', 'Brewing', 2): 75600000.0,\n", - " ('place', 'Brewing', 3): 84000000.0,\n", - " ('place', 'Brewing', 4): 50400000.0,\n", - " ('place', 'Brewing', 5): 33600000.0,\n", - " ('place', 'Brewing', 6): 33600000.0,\n", - " ('place', 'Roasting', 0): 233333333.33333257,\n", - " ('place', 'Roasting', 1): 210000000.0,\n", - " ('place', 'Roasting', 2): 210000000.0,\n", - " ('place', 'Roasting', 3): 233333333.33333257,\n", - " ('place', 'Roasting', 4): 140000000.0,\n", - " ('place', 'Roasting', 5): 93333333.33333255,\n", - " ('place', 'Roasting', 6): 93333333.33333255}" - ] - }, - "execution_count": 297, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['global_warming_potential_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 298, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize = (8,4))\n", - "ax.bar(['Drying', 'Hulling', 'Brewing', 'Roasting', 'Grinding'], [138888888, 124999999, 60000000, 166666666, 10000000], color = 'orange')\n", - "# plt.ylim((0, 5500))\n", - "plt.title('sources of process emissions')\n", - "plt.grid(alpha = 0.4)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/GUI/coffee.xlsx b/examples/GUI/coffee.xlsx deleted file mode 100644 index 0fd8e44dd709dea975498ec21b61087012ba05e5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 17600 zcmeIaQ*IpR=G|J))?y1hUXrMV}^2)Ja) zgkx|<;hhIIhn~IS>|d1}7u!nta4kACs2tT=IzK0$B)y(Mq}0p1w|c})0LzS>f>k?W zgvwWN08A1F3ZP(ceN4AYg@n`TK8u$JV3?Th)w5?O1!N2+V zM*M@7&>ytbvN15XrKb9I{y)0@FXrgK{OP695>h=hFahVnFM)&ib8C?Zykd?#!Yz36 z9$q4=@O5E11ej|b#8?RO7{0(lo^2j4!z*hXVMl{_ciRl5AxJ3f`1Ouu0SQmv?ZL^2 zY~lsKmu~eUI?Ub9-6aW$I+HlGMUa&=7G{YJZQu*eT=G{TOi(FdKqBX11$^R6@>cDa zP+8Y~CzC2ZbE2)F!R<^wU*&>B+a>(8M3Ej@M6d( z1gCKQ!-D-MN!nlQ)9Zi%0L&l(0DjTP$(-8J%EnCB%F67QT`N_PvC3gV@Zdgt1Kv*a z>5BA9F2_aC$a7FIs5wnTDYEGjDFymzK9gH~*KwZc$6z8^pnjj-8$Lk4W7WSAO5I^z zJnfXlOQ#tjZnu>PR%WYN>B36aF+nsx$&mZio<~%3ChAc%?{V+weuHX3orC-Po4J>- zYWQfJtc3mwoz~QkLFn~K42MtZ^88)06c$SmqEJoQ@(OvUY?9haese$P`3S}@yU?KH zXJYp)1kCE}zZ#36bS99`53Z}lW$cuH-EOidO;v(zbkZf1t4NcZDZDyxQL*Jo7lm;3 zb<@M&#O#D;rD=Q>skFC|@3ZM5)GCCwwy@&K=#9X_%*sJAm$bD`CpL$E>c07MCKJ3F zQ|QxHvAOoy#$yQ+$kbjv7}q)D=I41;)6cm*pST+jF%4gaF(ui<6f%h%0$Br4xmxrj zVC5@DPNblE5mm+R@?&^T{beOrwhhRfOz7!&Q!xIsH9i9no`WY<kv5er|*7|A@(ZVHC{S-Eju!z%Y7ZS<9z@Qg6~7JpQ})^ z)@QbWkK990pGLGUm6NyY0wSRMJKd%v0@P z&)*zZFdNz61Hn3<)p-b$%p8ZV3r=Ch!-Vyn$sIV-p**C z*;&`o1zN^Q9A8UKK7ZY$kR9~ld=xe@`=MszB9sFPn9W|e%$-N`)G~rGW~58eA|4d+`mUVtfAYx zkosyioB@hw_htoup|Dq5_aLft@Q&8tr2-Rqc;_ZqT3K^k36i>zXD`7G)hpuEee7x9tHj9nSkgpY<=?Ag)G>(=|@Fd z2zNsEvO z9se*Ew#EhqcDB^NFSNg`MrzDTcnS?dz&ZKt7m5vJT_6zY!D0!fqxCYER)pptmUN^^c&2j+tJBUrq00ZdDGFVPIH(WwaGKt>;z`q z=n;BavQwMsk%zA6#T1}BVto$L%=LlBnsU&WDWbK8nIaDGlCo`Ub=Y#%puMWI-RW#3 zg3$)lDS{@=<#^}#kfeMP;kmbsH8{4fT2yB1 z<}Ic7EqS~PkF-X20&_C<6x^!-de6&C4DU}qWoMsZEN!&Lqv`pooM;Y+)9RS^Y* zP-GEiTqz4>lMYP|E+^DiA%kKt5RNF6Gb7*6IRjkEGK*vbfKEh+!MYbhW|k+SEJT9l zMy1gmF4Q)LwWp9^9RUqc^8y>3Tw;rZz}<+R(R&m?{Q_!v7`aNuJ~ zY+iCe^n*4&``+ls^2?wTzf=2e-0s2tQl#J76q~puxk7{DuLXJwI8S6jnkj42B`JO& zteJI8c8ZolqPwy((GTc0!5NO?k!2f>ujT2my?*+*e|Vz{M;*9!_qdP|vcIB2+rskB z#gX>v$=tVhvTaqxhGpgPLSJxwd2?gKuI5I%P_uT2-mS&=WD&|duIau;S%1B-=HP*a z6eo#7_q_l)PaHi>dDw3*I8J<)ttviPkeJG#`>k^4Kg4+GH5dFtOVupn4Hq5b~6<`%870im6IpN300b3`nB6O#QtE z`qC7Xi#%w}vB)SdMq(FdVRQb!ZNVrV=H>FgJQGXSm$FPD1sd{CF_~?B-WaQXWEnaO z2vnFZOTP7oW$s@1{X$eB;;fbd-bOSVSU(`8#bxREs!!^3r51sH{ajmA${Cio-^kfg> zMIg~uhmE>rLOGGmlVOM)BpS^(_NbvBs^{Il^%$V#r@3c^C!K2lbov1Xm0HqVaH`1cddz_?w8WDq7y8MJ(!@{6!LCa;=GW04=~$J2%uy{tX_iXArdQcn+3XF$_Mw zsJSF3M1wqu&@}1*)D(%cmBHH*&HINt{}1LdgmpoEWF`1L2~WV41^6TL9pTeo zeB#Vw1jYhRgF39pcbTl5Mnl7DRu^mL30w6Ab6?NIyBHJFbxt?ZNjP9C9Sgpu_A;}{ zCXP+&B=%d}Q$5sbm&6IJ{s-eh_uF{Ph(&xD4}eYAyf^R>M_p}^Rz4rdiTy#tg)$ zc`eUr#WlnL$?@+nR6ThpNX}?I76!*P7%9)T7#dpK(I9i!37BL>JmE+PRd=aZ=9SxJ z67NZe8gYq3gnsPz*e74S7!pzXGmg)C_|diWx~05@j-jLZ+NHc}h)2^xgD+8UV#aw; zgg6&wWFUo~X=L2&HPRX`z_)HP&_cnX1hvyZ4EzKTlP=EO zLnnW7q^SzQ#q7O*Ezt}BdNULOW!xZtHx1X~vBZpM0nMv?bGFy?Mplkwxg>!trh$TN zMWTF8^9Svd%HkXzW(G|Q%isCVl;pu<06d;hO-zdDx*zst?@W3KjD_GvkGuHB+|B## zuebhRul`syOJ5oUfd-#eFQ2e1gZpIvM>RhpPf{)p+yU7 zO8HsEWZ=SC3P7xMcdNZ?X{Rl4&uOokyxn>S83jn-g^ON$5Ej$%&{?p73TQyDP~KFotu)4Y(2!q|jcmqBo(3^2W>##xI9ak}Vir{ms&9QeknaTL}u$iBWRJK@kb^Dh0Yp zdL>zsVetvCDzPi*&g^_qD3M1(!p9~WO+iy#QB%Yqqte{S_zW$eor9I7gM@uF12m)D z{P@LRKKy_BZ?L8$xRxJb0660RNJ08v6wHlPn@FZXA2?4qVP|MlB7uTH++cxUa;?%= zacC^h6UEOfFDsyUK65REA|eWJ6YDJyeec+xj&}HYp-Y-=b%JFt~bKdnmk_M@dx!@f+4}taM0lN!I~Qn7x?`SF$!LtIhr7 zaTI3ckUX;*tbYjFj^iBt14;{`=&W1%xK7)xd{OgiSQ9rnVV3tbAA#LAM`Rw9xM=;% zku!f64uM<-%GE(Slt4_2Id0lcfp>$LE*B<^!40SptbyU|Jy2YhrYux-g)6d6Y%JoG zSaVxuJ`(%++z*dW>e{yuzES|xiagj4mfTp!m$^F|Off>Nz%|O~Vd1MLLN!)j8|kI* z`lQxFn?Bd`Bs6%J-6u-J9;f)1{+RDnn|{aTkw1@Nq(q*A5l$rf$G>fWawoSi7QZ&i znyPI$`EzjL!ceo8qg7H^AC^ef%qOaM(FO+ZaxO@K{W#HZA?R792+L{%3FOsc;i z;}F4;`ZC1DIuNE9&=Y92xqZgPEL3h3yK{lWQR7kNTmH5@PTfwFP4LB-kkZ`7Fw%rz z+snDvPJ(Y3SK_Y+BFJkaBP4o9JMFc?s>KA6^3XhnIly;U!=wO)ft(eRv5N433;LyuSEx|L_u2p<7S5 zrhnvp=g?0c3DERg<bb(ye-+lgVQ}3>0sUmuI9PpoZ2B2?XNqN5@sc3fD8z%o zCG7c-4SQn0XHJVPB_2tMMPGnI9yE>k(M^2Ge0gp{3R37^E5pxb6}<);*b1FUu*(|= z5z5!v9Ig@|521T>^*ki0J>?`|JpcZUv9q~kt0F#D`m*h6WAqYw(Bkxa4-8F>G={UY zrVp}m40=lfT(`KtjPPch@nF0xw;nu!2es`ksr5 zNj0ZoVBMTvCl^wx1uTdtNK0Iqd2Kxee!Sv4k;Vui?egBT85NZjF5)KBXDUVsK{;^n zUg{BA3Tl)RF;2mwklDI~W-PGmLxYXf!B&NcKRDIY}-u)Bth*V&J^+3 zB7WH(L5jJkssn6@&|6zU!F{@i%eCF*bX%f}P$G19bi7u(^c81n=wc$lOuVNV3kidp zlyGb)q5-7kBQ(W}*h+?n4Wh*m#K0o(Bfoi8JdOzK3fZSVh=8cZPD2*&4WiHi;conl zPXkzAeAg2{k>|;lq2otCX!__%ySmfi;h(_9iF&#gwMuQ#M)AUil58jyR}p4a?etXh z2KgVzo_)bvzS2pjWyjujoxUeQLh>+vBz)aRYoPu#rAWlT2d2VjnfXrFB(CkIJY{=z z*kwA63*oEknx_R^s6KFe{HoefKV1N5%-|E3U%$w99A_D+11tSBm(`+lt}ycH!**-b zG<_+K@L$N3_pA)Sfoa|pfUe*n`(NgPK5IfbBZn!a%<`=PP450F_ zGj(iQM%C{=2uEIr@#SfYCY_Lpge^Idl@nL~%DkrmXH6Vo`x+?1)|bQ!yx^*f@-4k{q7WT#xaUhi?zCPS z-rneMhzAaZXCs3^nrgU5-S(BI-78qi{h+NJ9cD|-IG0TX;Yk&ORiLYSp$_PdY@5Z& zBNrFe>EdfK*G<7K!IM#DXH=r40QdX!nM&KTOJS7;KVg3$1?RJLP0Mvu@r8aVY2gdn zTi~SI7OxDxIYX%M4Voe3v(YA$rK;uA4I1e-!1Y_c8e6xh=qWUt<8;%<*ZFu38jql& zz5WqnDwz{mR(@K>FYO`vyL2|5T|z|V)CBx4KS-~i^eFtqezFDLV(@f8!R)|2V{7y> zMT^-SOgDv~(?@YSEQU#Q*e;7l5B7Qx!Qlx+Ir@sAxkW6o^Km*XBXO!?%Kd*t30Vg zKeFF6rSw%h?#qd2Df!^I!fmQHph0x8**vLD0tC6i{bj60rIFQlAE!?w!H65Vj~M)G zq8coFsq!vq;cyb0j6i!hyCE~A3!n!y(JdV!$6*jEMhPyT&fGMt$vv!U2DG)-IZxX` zKD(KI#=UE}8$*yW^Wo45fPjKQTk{D*eN*R8D^WE+i%nTfVS)!n5manLj@b?Cn+UEZ zesLVeb_BEq1C3C-e2!&HAu-tJ_pX7w$DuHDF-~9Yw2m&dop)BS)tq~He=ath(d4Qy z7&lA0R_(vNyX7%WYIXA-COW@5NSA7@+M~ydJsSb-YvFZt2Wg!O1*a)ok!dDwG6fv} z`jE_+NU<7=Pr37*h?|&hIbsqr6 zQ)zQ@5j1G@qZ6rm7+->D{(&mz`Fh#xvB!bDqe=o8$>!b~Rx%(=uH5>qxNqZ2DZvs}cNn;MJ~LvjvNAO}czCc^h_B7j7_E0oC2G{( zqvN*ru<=6ck7?G}aD289X@~4Y{q%0e;PTNaDRLZisiowutYa#U#A4vPHmNmcoVj6J zFq5A~`F&(Zvvx6uf$Y1mC0Bg2)ns{=uacBDmbP_79 zl083aYGhVw=_w#!q-L2OEbIkYI4{eIxd+omRqek~9E+wsJPoh5&KZI`dULo~d$JVB z9!T?ACE$}hO=AwmGHHjb#;AlrY_zfxQ@(qUnuD*2E>gx~=yV{+`^sh^)|dD@pev5N zR;nM_lfiFlN6Dze%^W`gs_RS&IG9unEKr^8>`{*SBZh>CYmK7SZ9Q$bt1r2IKS#t( zd#)SKRIzX{^*5~JBmrrY%$YoyXYNe9e5tCD+s5BX!qr2e>zFsek`%)&ERR;XLue4S#r@P#-4vBV+xm zvSDlIY;Iut%hjw^Sg~B8fpN#F^hCHh8+O>CfHX%FlLH2=*ZIb-UGamGnAe_`fY6rd zWJ734ayxsitVdHfI2#Tgo|LG~H1C_MA;kh&&y+wAqFi2i<3~h1L3e~QW>)hcfRv@EE^4-G-aNM zx@2&!`WChh-Uv5f)GWtIa^`GxR(M6z=Gml<4#7y@sh|np0#IT7lwW*dSU!SS5ZgFpMLR11m8S9%f?31c*MGzX$CRi1)Mfff>Lhy6kTe%co0gw2`4q2XHbj$Hz6f=7g=oBPdbP|g^2Ae3wq1@`!v54ecz z;3%CA>vi5$?*Q*d%oOM}s2@dL(I)Dbx_i3&d=Au7hfMFSl(KiWwa#-@cJQ?L0@MP` zvcik%FIF(n!Ug)gtB(nHO&)%0^TMb4cxx7MI!-m37duEupW`_-J1!seYO!5GFoE|v z0tGDGyWf{iAs#rTj_fd}@)5x|a`^7;)xFn*eT0BgWqI1A=wG@bJ_CN?p5!_Hf)-w4 z6b(LF%sKM;$&`(ojx9?{=G)wlIXmLj*F&0~{aaVX%QQbBCMWk@*HgA2n2d#Ux4E36 zh%VLp@$MQg>gCVrTUN{?%-3@gh~PEWtk6UW6p%lMY)}bej`vIzMtfLV-?%W;-)ZWb zS)oD0iJ-}~8c0FGO>zXDN1Q={l^||yUpiOCt4EFkS>GY-gGJ6W?y39uk!1QW=^&tE z%iE(5I#7RvS}6ZedSe|M1ARF=8xu>T-@5Oo&}EtWS3?`_24;O6k^-VwE|ID0VV>z6 zKAj-|d4E1O@KVP)g0jG^Qw;ujm{I?Af5i5g3C$7=c3q9o<>e7BUF9(2vV+j&^TGmr zhCl$%vLJ@h7KxI=WTh=k~vT9MJ%uC@&^mGe5P@G*XJz z5=%GKIk8KUqVJ$i7Z+?FFV2a$Hmn989a#@{tc!_ORcyAjX_@7A(6Yc6hCn!UVmd<@ z-N8f!_&7^VkgK*Hv{0DnoUu|711KfLoEz`B<{E&hghw^r{4mX%Ooa4)70k5eYz-gh z5PLJN7r;D}eZ^Tdc3}w01euS+UjXa^O;FBN*{Sc_NIX}kt=xdy`=mtrd2${&>Oehq zWr0$aB#Em+VS`V+z0;Dx+#N~*N+ z*7MVj6vtdz7W|h=)}4{ zbb|LoKk)z3jbHr&|0wnT)j;rf!S{FjfL}z{kM56T&pq%PpOb6Mygv+|9P`&kg?(V% zr)98}gvfi8SJxUWgU-D@>xn(4lxL12OhdRRirHo$|6M&a1OV5Ao&)f zBiDBy6^Z{$mf|$fAR~Pc=jEf=P5jpmSbxyM&cH^_z|QU$KdArsOiQI}VtJzM%o4k{ z(IG*`FRBvFNGS`G?UYMVlc|H=lR3md`x%*j2HiEjIu2!-A6Zm?h%2`gUyVQ@K5#gh zH-0ES=pI|D_ZoJw;HgrQs-3- zA8PK(>tOaP^emsCK#RrF9N`%M64Q~)t+KOi_C2lPfp7=Ix1 z!g82s@Q7-?2kp=41f|qzewi{!G|UWXhoU(^$`n2Td^;4<#(d~qlgVCvi=9<>@z&{p zt4scVd6%jHaD3g6$_zSnLih+?v}0lYGzF|N01{<#c5G5>eg_W8B013j?4e(}fWl~* z`4Pn{y}n@i*5fB;g+a_)mxd8`L4-5Z0fdIVef3i7d<%r-!+b9t(tF+7-e91F?aF&C zJLVR7Gxesaqp4$hbPiXD!O89@-9MLb8hK)eUJrj?-1^Iu`^njn6^~oRTuy& zysw+~eL@c;1_S^WI`j**p+C=4MtpfvVUABLb@c_&q#wL;g|*tt3`TlgQys0(0-yi; zMcsSg2%}r;IUB%1u`gnaX%9Gy^2@WEbRq0q@J~tbokic>QYd`7U}=)c!|A3vcVA!s z%PPYcFt$722gG;2z>Nx6*$Zr{icv4Y zvs7UAU9l1{%PzED|Ke8OU4s`$0 zHk(%=`$>cNJa@#>0)4i(XImdEimPCPUrn~c`6f|#HllJ~Xqkyq7SM6L-IU%9zM%O z18U&BaN7??eZAjBNxYr8Qn^IHKg1mo8Pdo$s1Dv-(|w~TFJ^7}wiTD2^unq}D?SlxV|~XxV8Tuzq9Yu}mv{%H zf=WLOh{7}fv=MIp+dBxtM0o7A))&ZUR+`hb-Fgcbz&xaYN5D-$LifQ( zCiqD*!9fq0qS>XROZ8a|0^-FPeJceLI<@+iqqA`sshy&z*Vo3z6;s-B2S1Jyh{IPY zc64lVWxie65y|3c(B!@VQEVeuu<(&`cb) zC#H@~5J|=Fu~^*{!s-*@BI&*JIX*5<&h8(6_WqIfkY8h60UodoTD`3R#@6|nd_wx( z4D-9%C(sJ};>I-#WfprdPC{d~W|JNNNC~q5>+lx{DsoCo~B99!ClPi>u{mTebDHsIYNX56*DKsdXy zOIcQCi}pSmYYgsJp$&JnAOAG(#{*4UmFf>Eh<3>VwhT|Rg&6UmUML{g+=yJEZCtfa zh;cO|+m9IyJQ_&}z2F=sU|E-A6I!Ot9J>mqzXZC;wsVlkY)n<=mCaiS6h{zm}f#nl}mlpU7JI%yyZ9#TKifrC@A}U)C0a1 zL`|R`1A{)=1@;Yk!{*o)x><0Rn=13;sD564;^Cj9Hl^87umGdgEi|^UtC5$Ae9>kU zU@~H6HO=y!N<|U5E-fiptlZ!2(Vas64w`+Au|p|9{M3IK9eQGEf;cAUa%~bK=deZC zLrR^?DTaZ)V;aw!Z@7vbT^GMgk*bUx=_Uo$0M=Y|tsWb=ln;xu3(v}mt(WU2$-Q1{ zYh~{OUX-hm{Z@I7B1_g?B75MvAF3EkkAzy)@iRX;tE{CWzN}N9C&@xoHrS$f@uqM0 zSaJ@@p-P8ZULLXUtEL@e;#p*(IhxLY-P4_h>f325x5JgGUVMqTFtFHtkkd^xdDtZ~Wc5i6V}+C}v5xTgB& zFk4>eoZ^Xa6CDTDS*|77{0b8#BOdHKefKwzO|3SvT&JR~I|68Nu3RgYK9C3lM!S{_ zLxTcAVTQLlKpaxZpvGF{QdUCcegLyEpV|P+v_cb&|d8!vB}~D%9`0B62b;6JhH*hIkqu`truMSpO533 zrA&;E?~6Wg3Yihk7uRv$Zzk`8bS)W}T`ci@{q!04QKGt6M}Q5m21z8{e>x<-?!JI3 zq{H&w3D+odbQlte$5(VzB|bcP1YIZ6%!V<~LWbrFF)(MxNT0}73C?l558zmKxb_x6 z1=4D6IwG1C5kFvcom!ro4=#ENEfo7n@UjQ(G|&TUtl5$?8MM60Cob-J8V1DcRU)s~ z+j^TRzr6a{vUT0WtCBVk*Zzc>9bj3BSCATGp7V&TISgRBSdLY;4E#w8tD*fH#}n~M~)c+;b@j|zkor|JxvNZ#Aw?dQ5l?=pA|55XvN6FP{UaG7R_bTwa< zOj13A{HM|R+e;1vWsR!$oj6#c0Yx}=&b6{g_x6}* z1mAICt@7?AzbIyLOE_PDgN1P(YZW!dzA`J*u8B|0!fwlR`*}|dY_F|2jg`&)fuEQC z`T}grY3MN!9-7{LN4;)@9$9kKp5!r1En}3P@2d>{oQ(vR^69V&_%+0d9ehceySkdk zY}YCdy99-~(N66iH5Rj0ujG9~-Gq83*3`II;s}N%@;HWfLxveg-s{>o_M-7|bq2k~ z zlK`|RfX;Be!6>&U+dKG+5vm%#z-4xd17}!Erks`(R^cUjn@>r6#r3#T?n} z+h%lMc5W2MVO|l{_uwi> z-7B>ujDMo4AZZmjHE>_q+AMVp#TVm&(0WsK3R`>J^}$P^Ha9uWK|8!$$5)|BIL0dQ zLhX;wE@hy<30uwX5%X`?xKso@cXhWCJZ2*t5sKi_r6p$H2QDaIr@qZdvZ|;LExjK} zKSz7=b2{_+N&KW`U(23TF=VH;8(WwV>a*qrVu{z z4SvyDVm&k{eH)-1d_y%B$qtf`7T{#AQ{D$JzE*fmE5pgT1W7CHZ6+;q!(d!Q`>R^x zO#~??`lxQcRe6f6Uu8mpq}4-YDQ$0doR(&ti@>ttbt*U(}UoI zyIl3#XceFlu=qfcVrvrlLEc@ypqos<)ed)(iZxWY7x1m(sa;5(tg)-z^`AOmTFfv7 zOh{eqpB&beVZ;|Np@Pfn`^Z^(v0D5Ps-M>#8&$aIR!kvtnz;C8!K6ZaZ0K;>-A*hzzPM&M}Iq(q$RU|c6CpCaHDaMZoUvy9@W^2L?xv3>Gkl-Cj zNarM2&xJETCk5~lf`rcPO5z93$7cR#dIuX0K&;@G9)6_15dKvUb*!!bPYpk|>>o#J zOxLgCN5DDo6I{Sq*eVlAz&Ax&0&*AQDs7RL8lsshX*D|je&M^DoYQ&x`MYY&zKo~K z;N01P3Ha!{Sr%{NAq#!`o-@&2Xb%I+Z{r22 z<}}JLGE0%muf}U(-Cu2#2T{e;JJ1-DMUv{TQ2C6(F*L%^7H^Gv!MeLYW=sM$ARzW` zmJGgfxixdQNK>h}k(_TckI*5@&4LLW;1hig4jmUQCqugicEZKRb|gP^C}UAtq&?K% zOoQqZZ3Sr$o^Q6i+!&-EA{4PZ6!VWH)R%qRkmUPPZTrcL*VVl*hV9CC-Bq^FC84p zRNU~&RoD0nWc$xABi#}k%$k~)cMmV~c5AL1-t9#%@ty|>S(c&P)ii?l!XHL&D- z7i^U?xy!LcyyNuP;A}**Una;D(}t=UJis5##$2=1DhjsX4?~VsT;i^Nira{`zkYf} z`=@dP0#SZs@&Eg87X0&{`OoWr`2_=Mv402n_vz_>3jVq_d@$x;W~u)a{Bxr8Z_(9{ zI>SFkhWb!{ZsVMa?{_UizI)E{#ktb6XDOI#NP-vWPk3#e=Sk`3HWD@ z|8KxM^51}eWcdGU#{W;yfA?_yh6DhRUTkb3{XdMJbA$i@ diff --git a/examples/GUI/excel-energiapy.ipynb b/examples/GUI/excel-energiapy.ipynb deleted file mode 100644 index 8203dfd3..00000000 --- a/examples/GUI/excel-energiapy.ipynb +++ /dev/null @@ -1,796 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Small energy systems MILP example" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A simple problem with three processes\n", - "\n", - "- Solar PV with varying capacity factor\n", - "- Wind Farm with varying capacity factor\n", - "- Lithium-ion battery storage\n", - "\n", - "and varying demand.\n", - "\n", - "The problem is modeled over two scales\n", - "\n", - "- 0, network scale with 1 time period\n", - "- 1, scheduling and demand scales with 4 time periods\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 356, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas \n", - "from src.energiapy.components.temporal_scale import Temporal_scale\n", - "from src.energiapy.components.resource import Resource, VaryingResource\n", - "from src.energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from src.energiapy.components.location import Location\n", - "from src.energiapy.components.scenario import Scenario\n", - "from src.energiapy.components.result import Result \n", - "from src.energiapy.model.formulate import formulate, Constraints, Objective\n", - "from src.energiapy.plot import plot\n", - "from src.energiapy.model.solve import solve" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Input Data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Factors are normalized, and can be used to account for:\n", - "\n", - "- variable resource demand (demand_factor)\n", - "- intermittent resource availability (capacity factor)\n", - "- varying resource purchase cost (cost factor)" - ] - }, - { - "cell_type": "code", - "execution_count": 357, - "metadata": {}, - "outputs": [], - "source": [ - "factors = pandas.read_excel('input.xlsx', sheet_name= 'Factors')\n", - "demand_factor = pandas.DataFrame(factors['Power'])\n", - "capacity_factor_pv = pandas.DataFrame(factors['PV'])\n", - "capacity_factor_wf = pandas.DataFrame(factors['WF'])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare temporal scale**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Consider four seasons in a year.\n", - "\n", - "Network decisions are taken annually (scale level 0)\n", - "\n", - "Scheduling decisions are taken seasonally (scale level 1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 358, - "metadata": {}, - "outputs": [], - "source": [ - "scales = Temporal_scale(discretization_list= [1, len(demand_factor)])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare resources**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be declared with attributes such as maximum consumption (cons_max), resource price (price), maximum allowed inventory (store_max)\n", - "\n", - "As also whether they can be discharged (sell), have to meet demand (demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 359, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "resource_input = pandas.read_excel('input.xlsx', sheet_name= 'Resources')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 360, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
namecons_maxlossrevenuepricestore_maxstore_minselldemandbasisblockcitationvaryinglabelgwp
0Solar10000000FalseFalseMWaaNaNSolAR Power0
1Wind10000000FalseFalseMWaaNaNWind Power0
2Power00001000TrueTrueMWaaNaNPowr0
\n", - "
" - ], - "text/plain": [ - " name cons_max loss revenue price store_max store_min sell demand \\\n", - "0 Solar 100 0 0 0 0 0 False False \n", - "1 Wind 100 0 0 0 0 0 False False \n", - "2 Power 0 0 0 0 100 0 True True \n", - "\n", - " basis block citation varying label gwp \n", - "0 MW a a NaN SolAR Power 0 \n", - "1 MW a a NaN Wind Power 0 \n", - "2 MW a a NaN Powr 0 " - ] - }, - "execution_count": 360, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "resource_input" - ] - }, - { - "cell_type": "code", - "execution_count": 361, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "resource_dict = {j: {i: resource_input[i][j] for i in resource_input.keys()} for j in range(len(resource_input['name']))}\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 362, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "resource_list = [Resource(name= resource_dict[i]['name'], cons_max= resource_dict[i]['cons_max'], loss = resource_dict[i]['loss'], \\\n", - " revenue = resource_dict[i]['revenue'], price = resource_dict[i]['price'], store_max = resource_dict[i]['store_max'], \\\n", - " store_min = resource_dict[i]['store_min'], sell = resource_dict[i]['sell'], demand = resource_dict[i]['demand'], \\\n", - " basis = resource_dict[i]['basis'], block = resource_dict[i]['block'], varying = resource_dict[i]['varying'], \\\n", - " label = resource_dict[i]['label'], gwp = resource_dict[i]['gwp']) for i in range(len(resource_input['name']))]\n", - "\n", - "Solar = resource_list[0]\n", - "Wind = resource_list[1]\n", - "Power = resource_list[2]\n", - "Wind.varying = None\n", - "Solar.varying = None\n", - "Power.varying = VaryingResource.deterministic_price" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare processes**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes consume resources and can be of three type:\n", - "\n", - "- storage, if storage = some_resource \n", - "- single mode, as with the processes defined here wherein a conversions are provided\n", - "- multi mode, if a multiconversion dict is provided" - ] - }, - { - "cell_type": "code", - "execution_count": 363, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 0, fopex=0 , vopex = 0, prod_max=0, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=0, fopex=0, vopex=0, prod_max=0, label='Wind mill array', varying= VaryingProcess.deterministic_capacity, basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=0, fopex=0, vopex=0, prod_max=0, varying = VaryingProcess.deterministic_capacity, label = 'Solar PV', basis = 'MW')" - ] - }, - { - "cell_type": "code", - "execution_count": 364, - "metadata": {}, - "outputs": [], - "source": [ - "process_input = pandas.read_excel('input.xlsx', sheet_name= 'Processes')\n", - "process_dict = {j: {i: process_input[i][j] for i in process_input.keys()} for j in range(len(process_input['name']))}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 365, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = [LiI, WF, PV]\n", - "\n", - "for i in range(3):\n", - " process_list[i].capex = process_dict[i]['capex']\n", - " process_list[i].vopex = process_dict[i]['vopex']\n", - " process_list[i].fopex = process_dict[i]['fopex']\n", - " process_list[i].prod_max = process_dict[i]['prod_max']\n", - " " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Locations are essentially a set of processes, the required resources are collected implicitly.\n", - "\n", - "Location-wise capacity, demand, and cost factors can be provided. \n", - "\n", - "The scales of the capacity and demand data need to be provided as well." - ] - }, - { - "cell_type": "code", - "execution_count": 366, - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name='place', processes= {LiI, PV, WF}, demand_factor = {Power: demand_factor}, capacity_factor= {PV: capacity_factor_pv, WF:capacity_factor_wf}, \\\n", - " capacity_scale_level= 1, demand_scale_level = 1, scales=scales, label='some place')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*plot varying factors*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plotting functions in energiapy.plot can be used to plot the factors" - ] - }, - { - "cell_type": "code", - "execution_count": 367, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxgAAAHtCAYAAACavdjnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAACqVklEQVR4nOzdd1gUV9sG8HvpRaqAith7iTX2gr37ib1XbLHGjhU7Yo2KvcfeNfaKJdFEfa1Ro4lijQULoCgo7Pn+mHf3BdmFZVgYFu7fdXkl7JTz7J6d2XlmTlEJIQSIiIiIiIiMwEzpAIiIiIiIKONggkFEREREREbDBIOIiIiIiIyGCQYRERERERkNEwwiIiIiIjIaJhhERERERGQ0TDCIiIiIiMhomGAQEREREZHRMMEgIiIiIiKjYYKRiqKiorB+/Xq0bt0aBQsWRJYsWWBjYwNPT0/Url0bI0aMwNGjR/H582elQ8303r9/j++//x45c+bE5cuXlQ7HKE6dOoWmTZvC3d0dVlZW8PT0RK1atTBr1iylQ8sQhBBYuXIlqlSpAkdHR9jY2CBv3rzw8fHB7t27lQ4vnvXr10OlUun8V6tWLZ3brFu3DiqVCg4ODvj69avOdfLmzZvo/iZMmAAHBwdMmjQpFd5V0lavXp0gvjNnzigSiyG+fPmChg0bImvWrDh48GC8ZZMnT07wXh49ehRvnW+X9+jRI+2Cp3gy4m8KJY8hx2yGJihV7Nu3T+TJk0cAEN9//72YNGmSWLVqlVi2bJkYPXq0KFmypAAgAAgHBwfRs2dP8eLFC6XDzrR27typrY9BgwYpHU6K/fzzz0KlUgkrKysxZMgQsXLlSjFhwgTh5OQk0sNhv2DBAuHv7y+Cg4OVDkU2X19fAUBky5ZNTJkyRaxcuVL07dtXqFQq4e3trXR48Tx48EBs3LhR/PDDD9rvua+vr9i4caM4fvy4zm06d+6sXffXX3/Vuc7evXvFxo0bRenSpUWxYsUS7M/e3l4AEFmyZEmV95WUf/75R2zcuFEsWLBA+17S83fu8uXL2jibNWsWb9mNGzfExo0bxbhx47TrhISExFtn48aNYuPGjaJo0aICgOjevXvaBU/xZLTfFEo+Q47ZjEz5K40MaP78+UKlUgkHBwexa9cuvev9/PPPwtra2iR++DK6t2/firJly4rs2bOLCxcuKB1OisTExAgPDw8BQCxcuDDesuXLl6eLBEOTfPv7+ysdiiw3b97UHrc3btyIt6xDhw7pLsHQ+Pvvv7Vx9+7dO9F1PT09tetOmTJF73pqtVq4u7uLMWPGJFg2duxYYW9vL/z8/FIce0qEhISYxHk2Ojpa1KtXTzg7O4u9e/fqXCc4ODjJixVvb28mGArLSL8plDKGHLMZkUWqPRrJpHbt2oXhw4dDpVJh586daNiwod51u3btCrVazcfY6YCrqyuuXr2qdBhGcffuXbx+/RoAEjR/6dq1K7y9vRWIKmM5e/YsAMDFxQWlSpWKt2zx4sX49OmTEmElqWDBgsidOzeePHmC06dP613vr7/+wr///gszMzOo1WqcPn1abzOnP//8E6Ghoahbt26CZTNnzsTMmTONFn9GZ2VlhRMnTigdBhlBRvpNIZKDfTCMKDQ0FH369AEAtG/fPtHkQqN79+4oV65caodGmci7d++0/+/o6BhvmZ2dHYoWLZrWIWU4ms/4288XANzc3JA7d+60DslgderUAQA8fPgQjx8/1rnO6dOnYWlpiTZt2gAALl68qDdpOn36NKysrFC9evXUCZiIiEwOEwwjWrx4McLCwgAAgwcPNni7Ll26pFJElBmp1WqlQ8jwTPkzjvuk4dSpUzrXOX36NCpWrIhmzZoBkDof//rrr3rXrVKlCmxtbY0fLBERmSQmGEa0evVqANIdzMqVKxu8XYcOHbBu3Tq9d5aFENi0aRMaNmwIDw8PWFtbI0eOHGjZsiUOHTqkcxt9oxc8ePAA3bt3h6enJ6ytrVGwYEGMHz8+wUhWiY06k1Q5upp8Xbt2Dd27d0eePHlgbW0NFxcXVKpUCTNmzEBERITB8T99+hQDBgxAvnz5YGVlpXNkmHv37qFPnz4oUKAAbGxsYGdnh+LFi6N37944cOAAYmJi4pWV3JFXfvvtN3Tq1Am5cuWCtbU13Nzc4O3tjaVLl+ocbefMmTMJyli/fj0+fvyIsWPHomDBgrCxsUH27NnRrVs3PH36NNHy9dF8ZrVr19a+li9fPr1199dff8Hf3x/Vq1dH1qxZYWlpCTc3N9SuXRsrV65M8Dnp8vXrVyxbtgy1atWCm5sbrKys4OHhgVq1amHy5Mm4e/duvPU1cWjunE+ZMiXR75fG48ePMXToUBQtWhT29vZwdHRE6dKlMX78eLx580bnNvrqdfPmzahZsyayZs2a5EhK36pVqxZUKhWmTJmijSupEZk+fvyIgIAAVKxYES4uLrC1tUWBAgXQu3dv/Pnnn4mWo/mXN29eANKThFatWsHT0xPm5uaJfmb6aJ5gANDZTEoIgeDgYNSpUyfJddVqNc6dOxdvPQDo0aNHkvWqr35WrlyJ8uXLI0uWLHB2dkaDBg1w4cKFJN/XgwcP0KNHD+TMmRM2NjbInTs3+vTpg5CQkCS3TcyjR48SxDp58mTExMQgICAARYoUga2tLQoWLAg/P79457NLly6hcePGcHV1haOjI+rVq4eLFy/qLOfbEbkM/U6mlitXrmD06NGoWLEinJ2dYWVlhWzZsqFx48bYsWOH3u30vY/Dhw9rf8PMzMy032t9n69arUZQUBAqVKgAJycnnefnN2/eYPHixWjatCly5swJKysrODo6oly5cpg0aRLevn2bID5d301dn/e3x6DmvG2IpH5TdP2+njlzBq9fv8agQYOQO3duWFtbI3fu3Bg0aFC8p9JyPH/+HD/++COKFSsGOzs72NjYoGDBgujcuTO2bduGqKgovdsa8/x16tQp1KlTB05OTvDw8EDz5s1x7do17XZhYWEYMWIE8ubNCxsbGxQtWhRz58416IbOnj170LRpU2TLlk37XW3UqBF+/vlnxMbGJu8Dg/5rkKtXr6Jjx47ImTMnrK2t4enpia5du+L+/fvJLiMuucdbXJGRkQgMDESlSpXg4uICKysr5MiRAw0aNMDs2bP1PrEGgIiICEydOhVly5aFo6Mj7OzsULBgQfj6+uLGjRvy3pTSnUAyir/++kvbiad27dpG229YWJioVauWACBy5col/P39xerVq8WYMWNE1qxZBQDRoUMHER0dHW87XaMX7N+/X3h5eYkRI0aINWvWiIkTJwoXFxedI5ZoRp35/vvvBQDh7OysHaFEVzkNGjQQ1tbWYv369Qk6tAUEBAgzMzNhZ2cnhgwZIlavXi3mzp0rKlasKAAILy8vcfPmzSTjP3TokMiePbvo3r27WLlypZg2bZo2fk3HzePHjwtra2thY2MjfH19xeLFi0VQUJDo1q2bMDc3FwBE06ZN45Vl6MgrarVaDBs2TADQvpdVq1aJgIAAUaxYMQFAfPfdd+LZs2fxtnv58qW2DM17CQoKEmXKlBEdOnQQK1euFHPnztXuI1euXOL9+/eJfS100vWZLViwQFt23Lq7fv26dp0SJUqIGTNmiBUrVojRo0eLbNmyCQCiZs2aIjIyUm95T58+FaVKlRIARNGiRcXMmTPFypUrhZ+fn8iRI4d2/4GBgQk+azc3NwFAtGzZMl58336/hBBi27ZtwsbGRgAQbdq0EcuWLROLFy8W9evXFwCEi4uLOHPmTILtdNXrwIEDReHChcXMmTPFihUrRNOmTQUAgztlHz9+XGzcuFG0bNlSABBubm7xYv92RKZbt26JXLlyCQCiYsWKYt68eWLlypWiV69ewsLCQpibm4v58+cnWU6ePHnEli1bhLu7uxg9erRYtWqVGDhwoPY7nVyaz8TT0zPBsqtXr8Y7pgoXLqwdDe9bmlGPzp8/H+/1CxcuiI0bN4q+fftqvwff0lU/vr6+okqVKmLRokVi2bJlokGDBgKAsLKyEr/99pve93PmzBntiFUVKlQQ8+fPFytWrBDdunUTWbNmFXv37pXdyfvjx48JvrcTJ04UjRs3Fq1atRIrVqwQ/v7+2k7x1atXF1FRUeLUqVPiu+++E7NnzxYLFy4UdevWFQCEjY2NuHLlSoJyNCNy1ahRI9HvZFp08t63b5+2jKpVq4rAwECxbNkyMWTIEOHg4CAAiHbt2onY2FiD3sfs2bOFl5eXmDRpkli5cqXo0qWL9nut7/Nt3ry5KF++vJg7d65YunSpqFq1aoL35OzsrD0Ox4wZI1auXCkmT54sypQpo/1tuXv3brz4NN/NLFmyCACiSpUqOo9dzTHo5eUlvvvuO7Fx40bx4MEDgz6/pH5TNL+vcUc327x5s8ifP7/o16+fWL16tZgxY4bw8vISAETZsmXFly9fDKu8b1y/fl24uLgIc3Nz0b59e/HTTz+JZcuWiR9++EHY2tpqfwN0Meb5S/N5zJ49WyxatEjUq1dP+1t66dIlERERIapWrSqGDh0qVq5cKYYMGSIsLS0FADFy5Ei97y8qKkq0atVK+9s5efJksWbNGjFp0iRt7N7e3sn+TdX3e2ptbS26dOkiVqxYIRYsWCAqVaokAAhbW1u9I/Ildcym5HjTuHXrlsidO7f2HDh37lyxbNkyMWzYMO1xYm5uLrZs2ZJg2+vXr2t/s+vXry8WL14sVq5cKXr06CEsLCyESqUSc+fOTdbnJwRHkTKazZs3a78gffv2Nco+Y2NjRZ06dQQAUbJkyQQHyJMnT7Rfih49eujcR9wvdp48ecTvv/8eb/nZs2e1y8+ePZtg+/Xr12uXX758WWcZarVa5M2bV7Ru3TrBstWrVwsAwt7eXly/fj3Bdl27dtXGFhYWlmj8Xl5e4sCBA/GWb9q0SXvREBMTI3LmzCkA6By969ixY8LMzEzvD3dSP8r+/v4CkIbc/Pa9REVFaU+YxYsXF58+fdK5D817yZEjR4IT87t377RJY2Kj9iTFkAsQzYVhgwYNRExMTLxl79+/1yYO+oZXjIyM1CZE9evXF1FRUfGWf/jwQVSpUkUAEEOHDk2wvaGjSJ06dUqYmZkJAGL16tUJlk+YMEH7I3Xnzh2d+9DUa86cOUWNGjXE58+ftctiY2NF4cKFkz3qk+a7kCdPHr3rvHz5UpusdevWLcGPw9GjR7UJwvr16xMtx9HRUeTPn188fPgw3vLevXvLSjAGDBig/Y58+7nNnTtX2NjYaOu0X79+2h+nb89BgYGBwt7eXu/Fz7p16/QmGBqa+smRI4fw8fGJ9zmp1WrtOVDfjZsXL15of0BbtWqV4Pu8Z88e7ahqchKMuDTfW09PTzFu3Lh4y0JCQrQXbEuXLhX16tUTERER2uWxsbGiUaNGAoBo2LCh3jK6d++ueIKhGWJV10hjz5490/7uJHbRoXkf2bJlE8WLFxdv376Nt7xevXoJjh/N55szZ07Rvn37eN+FDx8+CGdn53jvyd7eXuTMmVO8fPky3n5iYmJEz549BQBRqlQpoVarE8SnWe7i4pLg/KXxzz//CJVKJZYtW6b3fSYmqXqIO7qZp6en2L17d4LyLSwsBACxYcMGWTFUrlxZb13dvHlT2Nra6jyPGfv8Vb58+QTHQ9wbPCNHjhTHjh2Lt73musrc3Fw8ffpUZxmaZPW7775LcH56//69dkqAFi1a6Nw+KXGPNwsLC7Fnz554y2NjY0XHjh0FIE058OTJk0T3oeuYTenxFreuevTokaCuXr58KQoUKKBNkuJ68eKFcHd3FwDEhAkTEuxbc90EQO/IdvowwTCShQsXar9AiWXbyRH34l7XHVoh4v+A60oQ4n6xu3XrpnMfefPmFQB0DjP54cMH7Z1BfRebZ86cEQDEL7/8Eu/1sLAwbfY9adIkndu+e/dOe3d6xowZicavK4F5/vy56N69u7h79664ceOGdt0PHz7oLK9atWqyEox//vlHezKdPHmyzu3/+ecf7YGoL0HQxJcvXz6ddyN69OghAIhKlSrp3N4QyUkw/vjjD53Ljx8/LgDpbquuz1Lzw2Fubq63jN9//z1FCUZsbKz2pFirVi2d68TExGjX0XcBqqlXAAmelAkhxJIlS0RAQIDeOHQxJMHQ1KWTk5PO5FmI/12EOTk5ifDwcL3lABCLFy9OsPzUqVOyLiJ3796t3W9QUFC8ZU2aNBF16tTR/r19+3btut/+wDRs2FA0atRIbznJSTAA6LxDrDkPmpmZ6Xyi1r9/fwFAWFpaiufPn+sso1mzZkZNMJycnHTeRNBcMFlZWYnNmzcnWK75LM3NzfXehEgvCYaZmZneuZlWrlypvemjj+Z9AEhwY0gI6bMYMWJEvNc0n6+1tbUIDQ1NsM2UKVPEqlWrtH/b29vHe0IaV0REhPa35eTJkwmWnzt3Thvftm3bdO5jwoQJwsbGRtYTZSGSl2DUrFlT5zqaFgzt27dPdvlhYWHa/d+6dUvnOp07d9Z5HjP2+UvX8RB3rpBvWxYIIZ3fNU+aVq5cmWD5qVOntNufPn1aZ4yHDx/WrpPYU1B94h5vzZs317nO69evtd81XXVtSIKRkuNNUw8uLi7xkri4tm3bpjPB0NzkzZcvX4KbMxrt2rUTAESRIkV0Juv6sA+GkXz48EH7/8bq7LhkyRIAQM6cOfUOLdqmTRtYWVnFW1+f5s2b63y9WLFiAIC///47wbIsWbJoR5LZunUrvnz5kmCd9evXw93dHY0bN473+qZNm7SfS/v27XWW7eLigooVK2r3n5jWrVsneM3T0xPr169H0aJF47Wz1Nchdfny5Zg3b16i5eiyYsUK7f47d+6sc50CBQpo+94sXboUQgi9+2vSpAnMzBIefonVhTGVKlUKISEhqFChgs7l33//PQBpNvorV67EWyaEwLJlywAAVatW1bav/ValSpVQqFAhZMmSRVaMR48exYMHDwDo/8zNzc21363g4GDcuXNH7/4KFy6M7777LsHrAwYMgJ+fn6wY9QkLC8OWLVsAAM2aNYOTk5PO9TTvKzw8HJs3b050n7q+/3Xq1DG4XXhctWvX1n7/4vatiImJwfnz5+P149G0pwbidwr/+vUrfv31V53D08pRokQJ5M+fP8HrmmNCrVZrvw9x49V8ztWqVYOnp6fOfWvOYcZSs2ZNnef5woULA5A6xTdq1CjB8iJFigAAYmNjE7yX9KRJkyZ49OgRsmfPrnO55vzw7NmzJGcmtrOz0/lZtGvXDnPnztW5jbe3N9zc3BK8PmnSJPTu3Vv79507d/QOqOLg4KCtj/PnzydYXqNGDRQoUACANGv9t9RqNTZs2ICWLVvC2dlZZxnGJOf3OSlx+y7o+02cMmVKgnNPapy/dH0HNPUDIEE/LkA6vxcsWBCA1LfyW5rfIU2/P13q1q0LCwtpRoakrjGSou884u7uro1/x44dyR6mPCXH2/v377Xvq1mzZnBwcNBbhru7e7zz1vv377Ft2zYA0nszNzfXua2m7u7du5esoZeZYBhJ3OEqv+0wLUdERAT+85//AADKly+vd70sWbJof7SCg4MT3WehQoV0vq45eYaHh+tcrumg9vbtWxw8eDDessjISOzatQudOnXSHsQamng0nYffvHmj85/mh+TOnTuJHpiaE60+RYsWhaurKwDpx2vGjBl49epVvHVKliyZ6Oepj+YizMnJSXvC00Wz71evXiXo4ByX3LowFisrK21nTEC64AkLC9PWSdxk7eXLl/G2vX37tnaejaSGWL5//z6mT58uK8a4F76J1VncZXE7+38rqe+PMf3666/aZNzQ2BM7fp2cnJAjRw6jxefi4oIyZcoAkD4zzYXI5cuX8eHDh3g/9h4eHihRogSA+HVy6dIlREZG6rwwkCOpYwJIeFzcunVL26la83500cRvLPpi1fy4u7q6as9FupYD0I44mB7Z2dkhV65c2r+/fv2K9+/fa88PcX17fvhWoUKFEvw2JMXQYzV37tzaCyYhBCIiIuL9tmhubuiLUfPbduLECTx79izeslOnTuHp06fo2bNnsmKXKzV+E1xcXLSf5dChQzF69OgEgx4UKFAA1apVi/easc9fhhwPSR1Tuo4Xzfm+aNGiePv2rc7ri4iICGTNmhWAdH5LicTOI5rzz+fPn5M9/0lKjrfffvtNW1eJ/R47ODjg9evX6NevX7xtNQPT5MuXT+81WtybhMn5DJlgGIm7u7v2/3WNipRcISEh2h/9nDlzJrquZnloaGi8Jynf0pfZap6A6Bs1yNvbW3uX+tu7pXv27MHHjx/RrVu3BNtp7tB9/foV2bJlg7u7u85/e/bsASDdbQkNDdUbv645B+KytbXFqlWrYGNjgw8fPmDChAnw9PRErVq1sHDhQvz777+Jbp8YzXvRd4dUI25dJXaHMqm6kDPqRXKFhobCz88PxYoVg5WVFVxcXOLVi8a3I4zEfV9JfR4pEbecxI4BQz/zpL4/xmRo7K6urrCxsUmwzbdSI3bNk4d3797h+vXrAKSLqixZsiR4sqV5onHnzh28ePECgJRsuLq6JnphnxxJHRNAwnNU3Lt5iSVgLi4uKQvuG/qeymkSdn3L4z61NGSUNiU9evQIAwcORP78+WFlZQVXV1ftuSHuhUxiIxAB8r67hm7z9etXLF68GJUrV4atrS2cnJzincM0o4/pi7F79+7aySQ3bNgQb9m6deuQK1cuoz2hS4rc3+ekrFq1Ci4uLvjy5QvmzJmD/Pnzo2LFiggICNB7zjH2+Sup4yWxdTTHzLfvPzw8XHvxfe7cOb3XF+7u7tobjd/ecEyuxJ5kxf0tTGy0Jn3kHm8p+T2Ou+2AAQP0fn7t2rXTrpecz5AzeRtJ3C/AP//8k+L9ffz4Ufv/mgNYn7jLIyIi9J6odDXJMYRKpUK3bt0wdepUHDlyBK9fv4aHhwcAYMOGDShZsqTOzFnzHrJkyYK9e/caVJaux+IahsTfqlUrXL9+HXPnzsXWrVsRGRmJs2fP4uzZsxgxYgQ6dOiA+fPna+M3lOa9JLcu9JFbF8Zy69Yt1K1bF6GhociVKxdmzpyJwoULx/vu1K9fX+e2yflupoSh5aTHzzy5x29UVFSax16nTh3MmTMHgJQslCtXDqdPn0b16tVhaWmZYN3Fixdr1+3cuTNOnz6NWrVqGS02OfuJjIzU/n9in7O+R/9yJTU0cHKHDk5vTp8+jebNm+PTp08oXrw4FixYgPz588POzg6AdJFh6PxNcurVkG0iIiJQv359XLp0Cfb29hg0aBDKlSsX79w+YsQI3Lx5U+8+cuXKhTp16uDkyZNYv349xo8fD0C6eN23bx9GjBiRZueN1CqnWrVquHnzJhYsWID169fj3bt3uHz5Mi5fvoxx48ahSZMmWLRokba5GGD885chx0Nyj5m4MVarVg2TJ09Ocpu4NyvkSOw8EvdzihubIVJyvKXk9zjutlOnTkWVKlWS3EZfk2hdmGAYSeHChZEzZ048f/4cN2/ehBAiRT8ycS/0krpDFHe5vraSKdWtWzdMmzYNMTEx2Lx5M4YNG4anT58iODgYs2bN0rmN5j18/foV9erVS5W4dClSpAhWrVqFhQsX4uDBg9i6dSsOHjyojf3y5cu4ceNGsg5GBwcHvH//Pl3UhTF0794doaGh8PLywq1bt5IVa3K+mynxbTn67mqmx89czvGb1rHXqFEDlpaW+Pr1K06dOoVBgwbh4sWLmDp1aoJ1vb29tXd6T58+jdatW+PixYuy+jMZU9y7nol9zmnxRDCjiI6ORufOnfHp0yeULVsWf/zxR4KEM6l+F2nB398fly5dgrm5uXZiyG8Z8uSqZ8+eOHnyJP755x+cP38eNWrUwLZt2/D58+ck50QyFV5eXpg3bx5mzZqF48ePY+vWrdizZw8+f/6Mw4cP49KlS/jzzz+RLVs2AKZx/oobY5YsWdLkGiOx80jczyk5/Q5Teryl5Pf42yZqxv4M2UTKiDRt2968eYPff//d4O0mT54MHx8fzJ8/X/tavnz5tHc0kmra8/z5cwBSW2m5HWqTUqBAAVSvXh0AtI+SN27cCJVKpbcDrqavQnR0tLbNflqys7NDu3btsHfvXjx48EB7R/7+/fs6O/UlRvNeDK0LAPHuCKUn//zzj3Zyo27duiX7hyFuH5SUNDszVjnp8TM3NPa4SWtax25vb68dlODXX3/F2bNnERUVFa+Dt0bcPhunT5/GhQsXEB0dnWbNR/SJezdN03RLl/fv36dBNBnD+fPnte28f/jhhwQXO+nFzp07AUiDSehKLgzVsmVL7TlQ87uwbt061KxZM92cT4zF0tISTZs2xaZNm/DkyRPtb/ebN2/iXX+YwvnL0dFR25T3yZMnaVJmYv2m4n5O+fLlM3ifKT3eUvJ7HHfb1PgMmWAY0ZAhQ7SdiYKCggza5sWLF5g1axb2798fbwQVBwcH7cgBms7eukRGRmpHV9B1YWBMmrs5N27cwI0bN7BhwwbUq1dPb7u/uPH88ccfevf777//wtraGqVKlUpRfCEhIZgwYYLOfhy5c+fGzp07tQevvhlI9dG8l/Dw8ETbmmo6d2XPnl3vzOxKi5vs6Wtfm9gj3mLFimlHu0jsu/nlyxd06NABvr6+CZYZ8nQv7vcnsXLidqhTevZjjapVq2ofxycWe9xlqX386qLpoP3x40fMmjULzs7OejsKatZ99OgRVq9eDU9PT8W/4yVLltReHMadEfhbiY0uRvGl9PyQVjRxJtZHwJA4bW1ttSPR7dy5E5cvX8Yff/yRZp27U1NYWBgmTJigc5ZpNzc3rFu3Tvv7Hfc30VTOX5oy79+/n+hNhO3bt8PCwkLviGOGSuw8ojn/2NnZoWzZsgbvM6XHm6F19fLlS7Rp0ybeiIlxt03sGg2QRqGysLBgJ2+lODk5YfPmzTAzM8PWrVtx8uTJJLcZMWIEoqOjUaVKFbRo0SLesoEDBwKQhibTNcweAOzevVs7gsCAAQNS+A4S17ZtW22bwEGDBuH+/fs6O3drdO7cWfvjn9hQmuvWrcOXL1/0DmVrqMePH2PGjBm4dOmSzuVOTk7a+JM77GC/fv207S81w/d9KyQkRPvkasCAAem2HXbczrC6fngAJDoKhkqlwg8//AAAuHjxYoJRSTSOHDmC7du3Izo6OsEyTT1oRrAApA5nRYsWhb+/PwCgYcOG2rti+j7z2NhYbN++HYB0AZyWI0UlxtnZWXt38ODBg3rbJ2vel5OTk94ngakp7hOIM2fOoGbNmnrbgse9gNi2bZsiFxTfsrCw0H5uFy5c0HsHb/fu3WkZlklL6fkhrWji1Bfj58+f8ddffxm0L00y8fHjR3Ts2BFZsmRB27ZtjROogsLCwjBjxgycOHFC53LNCI9A/N9EUzl/aa55YmNjsWnTJr3rrV69GrGxsejQoUOKytN3HgkNDdWOotW+fftkTVWQ0uPN0Lravn07du/eHW9Et7jbHj16VG8H7sePH+P48eMoUKCA9sa3IZhgGFnDhg2xdOlSmJmZoXXr1ti3b5/O9aKiojBgwABs3boV2bNnx7Zt2xJckHbp0kV713DQoEEJhql7/vw5xo0bB0A6QdasWdP4bygOBwcHtGrVCoDUpMLR0REtW7bUu76joyMWLlwIQBptauPGjQnWuXDhAqZNm4ZcuXJh0KBBRolz+vTpOi9q9+/fj/DwcKhUKp1zCiQmf/78mDhxIgBgzpw5CToOfvnyBf3790dsbCyKFy+OkSNHyn8DqSxfvnzaOyxr1qxJcFKLjIzE6NGjE93HqFGjUKxYMcTGxqJ///4J5kcJDQ3Fjz/+CEtLS4wZMybB9pohCeM+lv3Pf/6De/fuafvGmJmZYeXKlTAzM8Pp06d1NmubNm0a/vnnH9jZ2SU5D0xaCwgIQLZs2RAWFoYff/wx3pj0AHDy5EntMbFo0SK9gzOkpsqVK2uTPUD3WPQaNWvW1P44CSEUbx6lMXHiRDg7O+Pr168YMmRIgnbSv/zyC44cOaJQdKanatWq2oueuXPnJngiHBoaqr0JoCTNOfzGjRsJ5jcQQmD06NHxBgFITOXKlbVP4x48eIC2bdvC3t7euAEraP78+Tqb91y5ckV7V/7bhMoUzl/e3t7alhWTJk3S2TJh/vz5OHnyJP7v//4vwXC8yXXx4kX88ssv8V5Tq9UYOnQooqKi4ODggClTpiRrn8Y43pKqq7///huTJ0+Gs7NzgusszbafPn2Cr69vgmunDx8+oFOnToiNjUVAQECybpyyk3cq6NevH/LkyYP+/fujZcuWqFChApo0aQIvLy/Exsbi9u3b2LVrF168eIFKlSph27ZtyJ07d4L9mJmZYc+ePfDx8cGZM2dQqlQp+Pr6wsvLC3///TdWr16NN2/eoH379li+fHm8bR8+fIgLFy7Em4th3759cHNzQ/369ZEtWzZcvHgRDx48wMOHDwFIIxVo7gLoG7Gge/fu2nXatGmTZKbevXt3vH37FqNHj0a3bt2wZ88e1KtXD2q1GpcvX8aWLVvg5uaGX375JV5fgMTi1xefnZ0dzM3N8fvvv6NQoULo0qUL8ubNi6ioKFy+fBk7duyASqXC7Nmz4zUD0bwfTfb+8OFDnZ/DpEmTEB4ejgULFqBq1arw9fVFqVKl8ObNG/z888+4c+cOSpYsiSNHjsT7XCIjIxOMonXx4kVYWFigVKlSKFWqlPb9Xrx4MUFcmvpKys2bN3Hz5k29n1nc/axduxa1a9dGWFgYypUrh969e6NYsWL4999/sXHjxnjtQL+NFZCaFRw/fhxNmjTB8ePHUaZMGXTv3h2urq74+++/sWbNGkRERGDVqlU6J7fr2rUr9u/fj927d6NIkSLIkiUL5syZA1tb23h3merUqYMtW7agR48e6NWrF44cOYK6desiJiYGv/zyC44fPw5nZ2fs3bs3QXOdffv24ePHjzrrNe57SY4TJ07g1atX2gQzMjIy3p2zuN+XbNmy4eTJk2jSpAnWrVuHO3fuoH379siSJQv++OMPbNiwAUIIzJs3L8GTQM2xqaucbNmy6R3hK7ksLS1Ro0YNHDt2DEDizRyyZMmC77//XvuULrFkRBO/ru9z1apVkT9/fr31o3l/muMm7jjwmvkK4tZf9uzZsXfvXjRr1gy7d+9GlSpV0KlTJ9jb2+O3337D9u3bMXfuXAwdOjTePooXL57kPC7fxq65YL158yY2bdqEAgUKoEqVKtpjT1d9denSBa9evcKJEyd0vpdvPw9d5+OWLVtqvw+6jm/N52HouSwx1tbWWLt2LXx8fPD8+XMUL14cvXv3Rr58+RASEoI1a9bE6zz97fvQHCO63ofm8zL08wX+9335lr+/P06fPo0bN26gc+fO+OWXX1CtWjV8+vQJBw4cwI0bN5A9e3a8fPkywXdLlx49emibj6S0eVRS9WDI9yGx71TLli0NSoCsrKxgbW2Nhw8fomDBgujevTsKFSqE2NhY3Lp1C5s2bUJMTAwGDRoEHx+feNum1vmrS5cuiR7bhp4fNJYvX47Pnz9j+/btqFixInr06IGyZcvi/fv3OHbsGE6fPo3KlSvLmpD0WytXroSvry+aNGmC6tWr49OnT9i2bRt+//132NraYteuXfHms0jsN1lzzKb0eEusruzs7PDnn39i7dq1AIC9e/cmmMwv7raHDh1CqVKl0LVrV2TPnh0PHjzAhg0b8PLlS8yYMUN7g9lgBs/5TckWFRUlVq1aJZo3by5y5colrK2thZ2dnShYsKDo2LGj2L9/v0HTrqvVarFx40bRoEED4ebmJiwtLUW2bNlEixYtxIEDB3Rus27dOu3U9N/+Cw4OFkL8b3p5Xf/0iY2NFbly5RIAxJkzZwz+LP7880/h6+sr8uXLp/0cSpcuLcaPHy/evHmTrPgTi+/JkyciMDBQ1KtXT+TIkUNYWVkJa2trkS9fPtG1a1fx+++/J9gmueX8+uuvomPHjiJnzpzCyspKuLi4iOrVq4ugoCARHR2dYP2QkBC9+/f390/y/WrqKyn+/v6Jvpdv9/Po0SPRt29fkSdPHmFpaSmyZMkiypUrJ6ZPny4iIiL0xhrXly9fxJIlS0SNGjWEi4uLsLCwEJ6enqJjx47iP//5T6LxLlu2TBQvXlxYWVkJNzc3Ub9+fXH58mWd6z569EgMGTJEFC5cWNja2gp7e3tRsmRJMXbsWPH69Wud2+TJkyfJzz25vL29k/19+fDhgwgICBDff/+9cHR0FNbW1iJv3ryiV69e4tatWzq3SezY9Pb2lhW7PrNnzxYAhJubW5Lno3HjxgkAIn/+/Imul1j869atE0Lorx/N+zPkuInrwYMHonv37trjPkeOHKJdu3bi6tWrOvc1YsQIgz8jfXF0795dCJH4sSeEEMHBwbI/DwAiJCQk0TI0n4ecc6Y+t27dEp07dxY5cuQQFhYWwsnJSVSpUkUsWrRI3Lt3T+/7SOwY0Xxehn6+cferS2RkpJgyZYooWbKksLGxETY2NqJQoUJiwIABIiQkJEEsiR07z58/F+bm5qJgwYLJ/qyS836EMOz7kFh9h4SEGBxLaGioWLx4sWjWrJnInTu3sLa2FlZWVsLLy0u0bt1aHDt2LNHtjX3+EiLxY9vQ88O3Dh48KHx8fET27NmFhYWFcHZ2FjVq1BDLli0TX79+Nfjz+lbcugoJCREPHz4Uvr6+Infu3MLKykpkz55ddOnSRdy7dy/BtoYcsxpyj7e4NHVVoUIF4ejoKCwtLUXevHlFnz59xN9//53o+9S1rZeXl+jYsaO4ePGirM9OJYQQICIiIsqkXr9+jZw5c2Ly5Mna+TCIzpw5o32yGxISkqx5IDI79sEgIiKiTG3Lli1Qq9WJDlxCRIZjgkFERESZxsuXL+O1/wegHXY9bht6IpKPnbyJiIgo0+jfvz/Mzc21w46eOnUK169f53DGREbEBIOIiIgylV9++QX+/v7ImjUrAgMDUbFixUSHXafMxZARoChxTDCIiIgo06hUqRJu3ryJwMBAZMmSBfXq1cOCBQvS7eSolPb27NmTYE6LYcOGAZCGSGaCkTSOIkVEREREREbDJxhGolar8e+//8LBwYF3QYiIiIgoQxBC4MOHD/D09ISZmWHjQzHBMJJ///2Xo08QERERUYb09OlTeHl5GbQuEwwjcXBwACB9+I6OjmlevlqtRmhoKNzd3Q3OLiltsY5MA+vJNLCe0j/WkWlgPZkGJespIiICuXLl0l7rGoIJhpFomkU5OjoqlmBERUXB0dGRJ4h0inVkGlhPpoH1lP6xjkwD68k0pId6Sk4XAH6TiIiIiIjIaJhgEBERERGR0TDBICIiIiIio2GCQURERERERsMEg4iIiIiIjIYJBhERERERGY1JJRgXLlxAkSJFoFKp8OjRI6XDISIiIiKib5hEgvH582eMGDECNWvWxP37942yz3v37qFLly7IkSMHbGxsUKBAAYwaNQrh4eFG2T8RERERUWaU7hOMBw8eoEyZMti9ezeOHDlilH2eOXMGZcuWxZUrV7B+/XrcvXsXEyZMwPLly1GuXDm8ePHCKOUQEREREWU26X4m79u3b6Nu3bqYPXs2smTJkuL9hYWFoW3bthBC4PDhw8ifPz8AIF++fLC2tkbnzp3RrVs3nDhxIsVlERERERFlNun+CUbTpk2xdOlSoyQXALB48WK8efMGLVq00CYXGh06dICnpydOnjyJ3377zSjlERERERFlJuk+wTA3Nzfq/nbu3AkAqFu3boJlZmZmqFOnDgBg+/btRi2XiIiIiCgzSPcJhjFFRkbi9u3bAICiRYvqXEfz+uXLl9MsLiIiIiKijCLd98EwppCQEKjVagBA9uzZda6TI0cOAFLn8sRER0cjOjpa+3dERAQAQK1Wa8tIS69fqyGEUKRsMoxazToyBawn08B6Sv9YR6aB9WQalKwnOWVmqgRDkwQAgK2trc517OzsACDJ4WoDAgIwZcqUBK+HhoYiKioqBVHKs3ixHc6dc0Dr1h/QokU09Lw9UpBarUZ4eDiEEDAzy1QPD00K68k0sJ7SP9aRaWA9mQYl6+nDhw/J3iZTJRjGNHbsWAwfPlz7d0REBHLlygV3d3c4OjqmeTxTpqjx+HEoTp/2QP/+ZvjuO6BfP4ECBdI8FNJDrVZDpVLB3d2dJ/F0jPVkGlhP6R/ryDSwnkyDkvVkY2OT7G0yVYIR98L/8+fPOtf59OkTAMDJySnRfVlbW8Pa2jrB62ZmZoodoPb2Kvj6qtCnjwqXLwMBASq8fw/06gU0aQIYub88yaBSqRT9jpBhWE+mgfWU/rGOTAPryTQoVU9yystU36R8+fJBpVIBAF6+fKlzHc0kewVM/NZ/hQrA2rXA6tXAvXtAgwZAQADw+rXSkRERERFRRpapEgx7e3uUKFECAPDXX3/pXEfzeoUKFdIsrtSUNSswciRw4gRQtiwwcCDQrRvw22+AEEpHR0REREQZTaZKMACgbdu2AIBTp04lWKZWq3H69Ol462UUZmZAo0bAzp3AtGnA4cNAw4bAihXAx49KR0dEREREGUWGTDCOHj2KggULYtCgQQmWDR48GFmzZsX+/fsREhISb9m2bdvw77//ok6dOqhRo0ZahZvm8uQBZswADhwAHB2B9u2BwYOBO3eUjoyIiIiITJ1JJBihoaF4+fJlvH4Tul7TCAoKwoMHD7BkyRK8ffs23jIXFxfs2LEDANC4cWMcP34cISEhWLduHfr164e8efNi48aNqfuG0glra6BjR+DQIaBPH2DxYqB5c+kpx9evSkdHRERERKbIJBKMChUqIEeOHNpJ8ACgYsWKCV7T6NKlCxwdHdG2bVtkzZo1wfI6derg2rVrKFeuHLp164aiRYti2rRp6Nu3L65duwZPT89UfT/pUalSwLJlwObNUkfwJk0Af3/g2TOlIyMiIiIiU6ISgl19jSEiIgJOTk4IDw9XZB4MtVqN169fw8PDwyjDlwkBnDsHrFwJxMZKTzjq1AH+OwgXyWDsOqLUwXoyDayn9I91ZBpYT6ZByXqSc43LbxLppFIB3t7SE40FC4ALF4D69YGFC4GwMKWjIyIiIqL0igkGJSlHDmDiRODoUSB3bqB7d6BvX+DqVaUjIyIiIqL0hgkGGczCAmjZEti/HxgxAti4EWjcWPpvVJTS0RERERFResAEg2QpUkRqOrVrF/DlC9CiBTBmDPDwodKREREREZGSmGBQitjbA76+UvOpVq2kSfxatZKGvo2NVTo6IiIiIkprTDDIKFQqoFIlYN06aeSpO3ekmcIDA4HQUKWjIyIiIqK0wgSDjM7NDRg1Cjh+XJpf44cfpI7hFy5Iw98SERERUcbFBINSjZmZ1Al81y5gyhTgwAHpqcbKlcDHj0pHR0RERESpgQkGpYm8eYGAACnJsLcH2rcHhgwB7t5VOjIiIiIiMiYmGJSmrK2Bzp2lTuC+vtLEff/3f9JTjq9flY6OiIiIiFKKCQYppnRpYPlyaR6Nly+l5lSTJwPPnysdGRERERHJxQSDFOfkBAwaBJw4AdSqJXUQ79gROH2ancKJiIiITA0TDEo3VCopwdiyBZg3D/j1V6B+fWDRIiAsTOnoiIiIiMgQshMMc3NzmJubw9PT05jxEAEAPD2BSZOAI0cALy9pmNt+/YDr15WOjIiIiIgSIzvBEELAx8cHJ06cMGY8RPFYWkozg+/fDwwbBqxfDzRpAmzaBERFKR0dEREREX1LdoJhY2ODwMBAlChRwpjxEOlVtCjw00/Azp1SctGiBeDnB4SEKB0ZEREREWnITjAKFiyI6OjoJNeLiorCzz//LLcYogTs7YHevYGjRwEfH2kSv9atgcOHgdhYpaMjIiIiytxkJxi9e/fGihUrklwvPDwcPXv2lFsMkV4qFVC5stRsavly4M8/pZnCZ88G3rxROjoiIiKizEl2gjFkyBDExsaiXbt2OH/+PN7wio4U5O4OjB4NHDsGlCwJ9O8P9OgB/P47h7olIiIiSksWcjc0NzfX/v/u3buNEgxRSpmbS53AmzSR+masWAH4+wNt20pza9jbKx0hERERUcaWolGkDP1HpIR8+YBZs6QRqGxspCTjxx+Be/eUjoyIiIgo45KdYKhUKrx8+RJqtTrRf//++68x4yVKNhsboEsXqRN49+7A/PnSCFR79gAxMUpHR0RERJSxyE4w8ufPDwuLpFtYWVtbo2bNmnKLITKqsmWlZlMbNgDPngGNGgFTpwLMg4mIiIiMQ3aC8ffff8PV1TXJ9VxcXBAcHCy3GKJU4ewMDBkCnDgBVK8OjBgBdOoEBAezUzgRERFRSsju5P2t8PBwPH36FACQK1cuODk5GWvXRKlGpQLq1JH+PX8OrFoFzJghNaHq1g3g15iIiIgoeWQ/wdA4cuQIqlatiqxZs6J06dIoXbo0smbNimrVquHo0aPGiJEoTeTMCUyeDBw5AuTIISUY/foBN24oHRkRERGR6UhRghEQEIBmzZrh999/h1qt1o4apVarcfHiRTRt2hQBAQHGipUoTVhaAm3aSKNP/fgjsHYt0LQpsHkzYMDk9URERESZmuwmUmfOnMH48eNRsGBB9O/fHxUrVkS2bNkAAK9evcKlS5ewbNkyTJgwAVWrVoW3t7fRgiZKK8WKAQsXAh8/Alu3As2bA+XLS0828uZVOjoiIiKi9EclZE5U0aJFC3z8+BGHDh2CjY2NznWio6PRuHFjODg4YP/+/SkKNL2LiIiAk5MTwsPD4ejomOblq9VqvH79Gh4eHjAzS3HLN9JDCGl28OXLgchIwNcXaNgQMOQjZx2ZBtaTaWA9pX+sI9PAejINStaTnGtc2U8wLl68iH379ulNLgBpiNqpU6eiVatWcoshSldUKqBKFelfaKjUfGrePCnJ6NkTcHNTOkIiIiIiZclOgSIiIpArV64k18uTJw8iIiLkFkOUbrm7A2PGAMeOAcWLS82mevYE/viDQ90SERFR5iU7wfDw8MCtW7eSXO/69evw8PCQWwxRumduLnUC370bmDhRmiG8USNgzRrg0yeloyMiIiJKW7ITjDp16mD48OHauS90CQkJwYgRI1CvXj25xRCZlPz5gcBAaQQqKytpNKphw4D795WOjIiIiChtyO6D4efnh3LlyqFo0aL4v//7P1SsWFH7pOLVq1f4448/cODAAQDAmDFjjBMtkYmwsQG6dpX+Xb0KzJ0LvHypgo+PNbp0kZIPIiIiooxIdoJRtGhRbNmyBV26dMH27duxY8eOeMuFELC3t8emTZtQpEiRFAdKZKrKlQNWrgTevRNYssQcTZqo4O0N9O4tTehHRERElJGkaJwrHx8f/Pnnnxg0aBAKFy4Ma2trWFtbo3Dhwhg8eDBu3bqFFi1aGCtWIpPm7Az06fMJx44JVK0qNZ3q3Bk4e5adwomIiCjjkP0EQyNv3rxYtGiRMWIhyhRUKqBuXenfs2fAqlXA9OmAj4/UpEqBaVSIiIiIjCbVZur48OED/Pz8cPz48dQqgsjkeXkBU6YAhw8DHh7SE40ffgBu3lQ6MiIiIiJ5ZCcY5ubmeP36td7l0dHRWL58ORo3bswnHERJsLQE2rYFDhwABg+Wnmo0bQps3QpERysdHREREZHhZCcYIolG425ubggLC8O8efMQFBQktxiiTKd4cWDxYmD7diAiAmjeHBg/Hnj8WOnIiIiIiJKWak2kNFq0aIEnT56kdjFEGU6WLNLs4MeOAU2aSJP4tWsn/a1WKx0dERERkW4Gd/J+8uQJHj16FO+1ixcvwsXFRe82kZGR2Lp1a6LrEFHiVCqgWjXp3+vXwNq1wJw50mzhPXsCWbMqHSERERHR/xicYKxbtw5Tp06N91qrVq0M2nbQoEHJi4qIdPLwAPz8gFGjpI7hvXtLw9/+8ANQsaLS0RERERElI8HImzcvatasqf373LlzqFy5Mqz0TElsZmYGZ2dneHt744cffkh5pESkZW4u9c1o3hx48ABYvhyYNElqQtWhA2Bnp3SERERElFkZnGB0794d3bt31/5tZmaGvXv3wsPDI1UCIyLDFCggNZn6/BnYuRNo3RooVgzo3x8oXFjp6IiIiCizkd3J29/fH1myZDFmLESUAra2QLduwJEj0nwac+ZIk/ft2wfExCgdHREREWUWKUow7NgOgyhdKl9emktj3Trg0SOpQ/j06cDLl0pHRkRERBmdwU2kvhUTE4Nly5ZBCAFra2v069cv3vIZM2agWLFiBncEJyLjc3EBfvwRGDIEOH0aGDoUsLCQhr+tUUMaoYqIiIjImGQ/wdizZw+GDh2KH3/8EWvWrEmw/MaNG2jTpg26dOkCNQftJ1KUmRlQr540ed+sWcDJk0CDBsDSpdJkfkRERETGIjvB2Lt3L3LkyIELFy7g0qVLCZbv2LEDhw4dwtGjR7F27doUBUlExpMrFzB1KnDoEODmJvXXGDAAuHVL6ciIiIgoI5CdYFy6dAmzZs1C5cqV9a7TuHFjzJw5EytXrpRbDBGlEisraVjbAweAgQOBFSuAZs2AbduAL1+Ujo6IiIhMlewE4/nz56hSpUqS69WuXRt///233GKIKA2UKAEEBQFbtwJhYVKiMWEC8OSJ0pERERGRqZGdYFhbW+Pr169JrhcTE4PY2Fi5xRBRGnJwkObPOHZMGnlq/HjpKcfx4wC7UhEREZEhZCcYxYsXx/r165Ncb/369ShevLjcYohIASoVUL06sHEjsHgxcOWK1Cl8/nzg3TuloyMiIqL0THaC0bVrV8ydOxdDhgzR2QTq/v37GDx4MObOnRtvBnAiMi3ZsgHjxklPNQoWBHx9pX9XrigdGREREaVHsufB6Nu3L3bt2oWgoCAsWbIEDg4OcHd3BwCEhobiw4cPAIBatWqhb9++xomWiBRjbg783/9J//75B1i+XOqn0aED0L69NJM4ERERkewnGBYWFjh8+DD69+8PCwsLRERE4MGDB3jw4AEiIiJgYWGB/v3749ChQzA3NzdmzESksIIFgblzgb17pb9btgRGjpQSDyIiIsrcZD/BAAAbGxssXboUkydPRnBwMB4/fgwAyJMnD2rXrg0PDw+jBElE6ZOtLdCjh/Tv8mVpEr+3b4GePYGmTaWnHkRERJS5pCjB0PDw8ED79u2NsSsiMlEVKkj/3r0DNmwAGjYEatcGeveW+nEQERFR5iC7iZSh3r9/jzp16qR2MUSUTri6AsOGSUPbVqgADB4MdOkCnD8PCKF0dERERJTaUj3B+PLlC86ePZvaxRBROmNmJg1tu2MHMHOmlHA0bCh1Dv/vGBBERESUAaUowXjz5g2GDBmCAgUKwMbGBubm5gn+eXp6GitWIjJRuXMD06YBBw8CLi5Ap07AwIHAn38qHRkREREZm+wE4+3bt6hYsSKCgoIQEhKCL1++QAih858xHD16FPXr14erqyvs7e1Rrlw5BAUFQS1jeuHY2FisWLECNWrUgLOzM2xsbFCgQAEMHjwYL1++NEq8RJSQlZU0pO2BA8APPwDLlgHNmgHbtwNfvigdHRERERmD7ARj5syZiImJwW+//YavX7/C3t4e//zzD9RqNdRqNZ49e4b58+fD2dkZV69eTVGQgYGBaNy4MWxsbHDixAlcu3YN9evXx+DBg+Hj44OYmBiD9/Xp0yfUrVsX/fv3R7FixXDmzBn89ddfmDhxIrZs2YLvvvsOt2/fTlG8RJS0kiWBJUuArVuljuFNmwITJwJPnyodGREREaWE7FGkDh48iBkzZqBKlSo6l3t6euLHH3+EEALTp0/Hzp07ZZVz/vx5+Pn5oXjx4tizZw8sLS0BSEnH+/fvsWrVKgQGBmL8+PEG7W/48OE4e/YsGjdujJUrV2pf79GjB1xcXODj44N27drhxo0bsLAwyiBbRJQIBwfpaUb//sCvvwJjx0pPM/r0AerWlfpyEBERkemQ/dP95MkTVKpUSfu3SqVCbGxsgvWaNm2KX3/9VW4xmDx5MgBg8ODB2uRCY8SIEQCA2bNn4/Pnz0nuKzIyEuvXrwcADBgwIMHy//u//0Pu3Llx584d7N69W3bMRJR8KhVQowawaROwaBFw6ZLUSXzBAuD9e6WjIyIiIkPJTjDs7e3jzdBtb2+vnWgvrvfv3+Pdu3eyyggNDcWZM2cAAHXr1k2wvEiRIvDy8kJERASOHDmS5P7u3r2L6OhoAEDBggUTLFepVNrX92qmKCaiNJc9OzB+PHD0KJA/P9CrlzSfxn/+o3RkRERElBTZCUbevHlx4cIF7d8FCxbEokWL4nXqVqvVCAgIQNasWWWVceXKFajValhaWqJAgQI61ylatCgA4PLly0nuL+4TFnM9Uwzb2dkBAK5fv57MaInI2CwsgBYtgL17gTFjgC1bgMaNpYn8DHhoSURERAqQ3cmgTp06GD58OBwdHdGiRQu0bNkSI0eORJkyZVC7dm0AwIkTJ/DXX3+hR48essp48OABAMDd3R1mehpi58iRI966icmfPz9UKhWEEHj06BEKFSqUYJ1Hjx4BAF68eJHovqKjo7VPQwAgIiICALSd3NOaWq2GEEKRsskwrKOUKVAAmDMH+PRJGnXKx0eF774D+vUT0HP/QRbWk2lgPaV/rCPTwHoyDUrWk5wyZScYHTt2xC+//IKgoCC0aNECgwYNwrZt23DlyhX8+d/B7YUQyJUrF2bMmCGrDM1Fu62trd51NE8cwsPDk9yfu7s7atWqheDgYKxfvx7169ePt/zq1ava2CMjIxPdV0BAAKZMmZLg9dDQUERFRSUZi7Gp1WqEh4dDCKE3GSNlsY6Mp2lT6d/16xaYNMkO4eFm6NDhM+rWjYaeh5MGYz2ZBtZT+sc6Mg2sJ9OgZD19kDE7rkEJxpkzZ3Du3DmUK1cOzZo1AwCULVsWf/31l3YdKysrnD17FkuWLMG5c+egVqtRsWJFDBo0CK6urskOLLUsWbIE1apVw7Zt21C6dGkMGDAAVlZWuHjxInr16gUvLy88e/YM9vb2ie5n7NixGD58uPbviIgI5MqVC+7u7nB0dEztt5GAWq2GSqVK9GkPKYt1ZHwNGkj/3r4FNmywQvfuKtSpI9CrF+DhIW+frCfTwHpK/1hHpoH1ZBqUrCcbG5tkb2NQgjFz5kxcuXIFAQEBia5na2uLkSNHYuTIkckORBfNhXpiI0R9+vQJAODk5GTQPosVK4bLly/Dz88PkydPhp+fH8zMzJAtWzYMHToUbm5u8PX1hbu7e6L7sba2hrW1dYLXzczMFDtAVSqVouVT0lhHqcPdHRg5Ehg+HDhxQoXBgwFbW6BfP6BqVWmEquRgPZkG1lP6xzoyDawn06BUPckpz6Atbt68ia1bt6Jfv37a1/Lnz4+3b98mue3Xr19x7ty5ZAcGQNuxOzQ0VG/7L01fCX2dwPXtd+fOnQgPD8eTJ0/w/PlzPH/+HKNHj9a+p1KlSsmKmYiUY2YGNGwI7NwJTJsGHD4s/b1iBfDxo9LRERERZQ4GJRgREREoUqRIvNcePXqkc96Lb717907b6Tu5ypcvDzMzM3z9+lVvJ25NM60KFSoke/+Wlpbw8vJCtmzZtK/dunULABL0zyAi05InDzBjBnDgAODoCLRvDwweDNy5o3RkREREGZtBCUauXLlw+vTpBK+rDGx3EHfo2uTw8PCAt7c3AODUqVMJlt+7dw/Pnj2Dg4MDGjVqZNA+nz59ipMnT+pcFhUVhaNHj8LBwQEdOnSQFTMRpS/W1kDHjsChQ9Ls4IsXA82bS085vn5VOjoiIqKMx6A+GE2aNEHfvn2xYcMG5MmTBxYW0mZDhgxJdIQnQOo/YWgioou/vz+Cg4MRFBSE3r17a8sGgHnz5gEARo0apR1NCpBGg+rSpQtKlCiBrVu3xtvm2LFj6Nu3Lx48eIB8+fLFK2vWrFkIDQ3FkiVL4OLiIjtmIkqfSpUCli0DIiKAjRuBJk2kPhp9+gBeXkpHR0RElDEYlGD4+/vj2rVrOHfuHM6fP699ffv27QYVkpIEw9vbGzNmzMD48ePRsmVLTJkyBVmyZMHatWuxatUqNGnSBGPHjo23zdq1a3H37l3cvXsXfn5+KF++fLzlQgj4+PggMDAQxYoVw6tXr7T7Gzt2LAYMGCA7XiJK/xwdgYEDgQEDgPPnpUn8YmOl2cJltugkIiKi/zIowXB2dsaZM2dw/fp13L9/H58+fYKvry8WLFiQ5OhNYWFh8YZzlWPcuHEoW7Ys5s2bhzp16uDr168oXLgwFi5ciIEDByaYlbtt27bYvn07ihcvjhIlSsRbVqNGDQwcOBDnz59Hp06dEBkZCXd3d9SoUQNnz55F9erVUxQrEZkOlQqoWVP69+IFsGYNMGuWCgMHWqJFC6WjIyIiMk0qIbODhJmZGV6+fAmPJAabf/XqFXLkyJHhZ4iMiIiAk5MTwsPDFZsH4/Xr1/Dw8OAwc+kU68g0fPyoRtOmX7FunSXy52c9pVc8ntI/1pFpYD2ZBiXrSc41ruwIg4ODDZpAz9XVFcHBwXKLISJKU3Z2wNy5EejbV4X/TrNDREREySA7wfD29o7XeVofS0tL7UhQRESmIFeuWPj5CfTrB8gcBI+IiCjT4rMwIiId6tQBvv8emDtX6UiIiIhMCxMMIiI9hgwB/voLOHZM6UiIiIhMBxMMIiI9VCpgyRJg/nzgn3+UjoaIiMg0MMEgIkqEjY00fG3//sCHD0pHQ0RElP4xwSAiSoKXFzB5sjTjdwYfcZuIiCjFmGAQERmgenWgVi1g5kylIyEiIkrfZCcYderUQVhYmBFDISJK3/r1A549Aw4cUDoSIiKi9Et2gnHmzBmcPHnSmLEQEaVrKhWwcCGwdKk0uhQREREllKImUl26dEHevHkxbdo0PHv2zFgxERGlW9bWwNq1wMCBQHi40tEQERGlPylKMK5fv44RI0Zg9+7dyJcvH5o2bYr9+/cjNjbWWPEREaU7OXJIfTF692anbyIiom/JTjC6d++OnDlzYvDgwbh+/Tp+++03eHl5oVu3bsiVKxfGjRuHhw8fGjNWIqJ0o1IloEkTwN9f6UiIiIjSF9kJxrp16+Dg4KD9u2LFilixYgVevHiBadOm4cyZMyhcuDDq16+P7du34+vXr0YJmIgovejZU2omtXu30pEQERGlH0YfptbOzg516tRB7dq14eDggNOnT6NTp07w9PTE8OHDce/ePWMXSUSkmHnzgHXrgD//VDoSIiKi9EF2gjF16lR8+vRJ+/fXr1+xfft21K9fH4UKFcKsWbMQHh6O/PnzY/r06fjpp59w69YtlCxZEu3bt0c4e0cSUQZgaSl1+h4yBHj3TuloiIiIlCc7wZgyZQoiIyNx584dDBs2DJ6enujUqRNOnToFS0tLtG/fHqdOncLff/+NsWPHonPnzjhx4gTu3LmDsLAw+Pr6GvN9EBEpxsMDmDMH8PUFOMYFERFldhZyNxRCoEGDBrh586b27++++w6+vr7o2rUrXFxcdG5XqFAhBAUFoUKFCnKLJiJKd8qXB1q3BsaNAwIDlY6GiIhIOSnqg3Hjxg3Y29vD19cXv//+O27cuIEhQ4boTS40zpw5g5iYmJQUTUSU7nTpAsTEANu2KR0JERGRcmQ/wQCARYsWoWfPnrC3tzd4mzFjxmDOnDkoU6ZMSoomIkqXAgOlJxlFiwI8zRERUWYk+wlGnjx50LFjx2QlFwAwefJkhIaG4ty5c3KLJiJKtywspE7fw4cDoaFKR0NERJT2ZCcYGzZsgJOTk97lb9++ReXKlTFu3Lh4o03Z2toia9asyJIli9yiiYjStaxZgZ9+Anr1AjgFEBERZTayE4zatWvjXSJjMlpaWiJbtmxYvHgxRo0aJbcYIiKTVKoU0K0bwNMfERFlNrITDCFEossdHR2xf/9+7N27F/v375dbDBGRyWrbFrCzAzZsUDoSIiKitGP0mby/lTNnToSyITIRZVLTpgH79wOXLysdCRERUdoweBSpc+fO4cyZM/Femzt3bqJ9KSIjI3H06FHkyZNHdoBERKbM3Fzq9N2qFbB1K5Atm9IRERERpS6DE4zg4GBMmTIFKpVK2zxq7ty5etePu97y5ctTGCYRkelydgaCgoCePYF9+wArK6UjIiIiSj0GJxi1atXS/r8QAtOmTcPw4cP1PsEwMzODs7MzvL29UapUqRQHSkRkyooXB/r1A4YNA5YsUToaIiKi1GNwguHt7Q1vb2/t31OnTsWoUaPg4eGRKoEREWU0LVoA168Dq1YBffooHQ0REVHqkN3JOzg4GK6ursaMhYgow5s4ETh5ErhwQelIiIiIUofsBMPb2xsWFkk/AImIiECvXr3kFkNElKGYmUlPMCZOBJ4/VzoaIiIi40v1YWo/f/6MDRwEnohIy9ERWLYM8PUFoqKUjoaIiMi4DO6DsWXLFmzbtg2DBg1CgwYNUKdOHYO2+/Lli+zgiIgyqsKFgSFDgMGDgZUrAZVK6YiIiIiMw+AEY8CAAfjw4QNev36NBg0aJJgTIzEq/nISESXQpAlw4wawdCkwcKDS0RARERmHwQnGwoULsXPnTgwePFj72p49e+Di4pLodm/fvkXbtm3lR0hElIH5+QFdugAlSwJxBuojIiIyWQYnGN27d0f37t3jvVa1atUkh6l99eqVdsI9IiKKT6UCVqwAfHyAfPmA3LmVjoiIiChlZHfyDgkJgZubW5Lrubu7IyQkRG4xREQZXpYsUj+M3r2BT5+UjoaIiChlZCcYefLkgZlZ0pubmZkhT548coshIsoU8ucHRo8GfvgB4ENfIiIyZbITjLCwMLRu3RqtWrVC165dEyxv164dhgwZgoiIiBQFSESUWdSrB5QuDSxYoHQkRERE8slOMDZu3Ii9e/fi4sWLcHd3T7C8VKlS2LhxI6pWrYqwsLCUxEhElGkMGwbcvCnN9k1ERGSKZCcYhw8fRqVKlXD37l3Mnz8/wfIJEybgzp07MDMzw5w5c1IUJBFRZqFSSZPwzZ4NPHyodDRERETJJzvBuH79OqZMmQJnZ2e96+TIkQMzZszAvn375BZDRJTp2NoCq1cDffsCkZFKR0NERJQ8shOMd+/eoUiRIkmuV6pUKTx69EhuMUREmVLu3MDEiVKSwU7fRERkSmQnGI6Ojnj58mWS6718+RJ2dnZyiyEiyrS8vYEqVYDAQKUjISIiMpzsBKNixYqYPn06YmNj9a6jVqsxffp0VKxYUW4xRESZ2sCBwIMHwOHDSkdCRERkGINn8v7W4MGD0aRJE1SsWBH9+/dHhQoVtKNJhYaG4tKlS1i+fDlu3LiBw/xlJCKSRaUCFi+WZvouWBAoXFjpiIiIiBInO8Fo1KgRxowZg8DAQPTv31/nOkIIjBkzBg0bNpQdIBFRZmdjA6xZA3TrBuzdCzg6Kh0RERGRfrKbSAFAQEAAtm3bhhIlSkAIEe9fyZIlsX37dgQEBBgrViKiTCtnTmDaNKB3b0CtVjoaIiIi/WQ/wdBo164d2rVrh5cvX+LJkycAgNy5cyN79uwpDo6IiP6nalXg9m0p0fD3VzoaIiIi3VL0BCOu7Nmzo2LFiqhYsSKTCyKiVNKnD/DqFbB/v9KREBER6Wa0BEOfV69ewdzcPLWLISLKNH76CVixArhzR+lIiIiIEkpxEykAePr0KZ4/f44vX74kWPb27VtjFEFERP9lZQWsXQt06gTs2QM4OysdERER0f+kKME4f/48Bg4ciNu3bxsrHiIiMkD27NIEfL6+wI4dAB8UExFReiG7idSff/6Jhg0b4vnz56hWrRpUKhUqVKiAmjVrombNmihQoAAAwNLSEt7e3kYLmIiIJBUqAC1aABMnKh0JERHR/8hOMGbOnIly5crh6dOnOHfuHGxtbbFlyxYEBwcjODgY9+/fx+XLl5EtWzYMHjzYmDETEdF/desGfPokPcUgIiJKD2QnGOfOncPEiRNhZ2end51y5cph/vz5WLhwodxiiIgoCXPmABs3AjdvKh0JERFRChKM0NBQFClS5H87MjNDVFRUgvXKli2LGzduyC2GiIiSYGkpdfr+8UeA42oQEZHSZCcY7u7u+PTpk/ZvJycn3NExZuL9+/fjrUdERMbn7g7Mmwf06gXExCgdDRERZWayE4yCBQti165d2r9Lly6NyZMn49mzZ9rXHj16hJEjRyJPnjwpi5KIiJJUtizQoQPg56d0JERElJnJTjCaNm2KadOmYezYsQCAHj164M6dOyhUqBDKlCmDMmXKoGjRorh79y46d+5stICJiEi/jh0BMzNg82alIyEiosxKdoLRsWNH+Pr6amfpbt26NQYMGIDo6GjcvHkTN2/exJcvX9C4cWOMGzfOaAETEVHiAgKAnTuB//xH6UiIiCgzkj3RnpeXF5YvXx7vtaCgIPTs2RNnz56FWq1GxYoVUbNmzRQHSUREhjM3lzp9t2kDbNsGeHgoHREREWUmsp9g6FO+fHkMHz4cI0eONGpycfToUdSvXx+urq6wt7dHuXLlEBQUBLVanex9RUVFYfXq1ahRowa8vLxgZWUFDw8PNG7cGL/88ovRYiYiUoqrK7BokdTp++tXpaMhIqLMxGgJxosXL3D58mVcvnwZL168MNZuAQCBgYFo3LgxbGxscOLECVy7dg3169fH4MGD4ePjg5hkDJny6dMnVKtWDX369IGDgwO2bt2Ke/fuYdOmTXj//j1atGiBUaNGGTV+IiIllCwpJRgjRigdCRERZSYpTjCWLl2KwoULw8vLC5UrV0blypXh5eWFwoULY+nSpSkO8Pz58/Dz80Px4sWxZ88elC9fHoULF0ZgYCD69OmDAwcOIDAw0OD9rVixAlevXkW+fPmwb98+1KhRA/ny5UODBg1w+PBhODg4YO7cubh69WqKYyciUlqrVoCTk9RkioiIKC3ITjBiYmLQokULDB48GP/88w+EEPH+/fPPP9onDLGxsbIDnDx5MgBg8ODBsLS0jLdsxH9vy82ePRufP382aH9///03AKkpl5WVVbxlrq6uKFy4MAAgODhYdsxEROnJlCnA4cPAH38oHQkREWUGshOMBQsW4MCBAyhfvjzWrFmDGzdu4N9//8Xz589x/fp1rF69GuXKlcOBAwewYMECWWWEhobizJkzAIC6desmWF6kSBF4eXkhIiICR44cMWifpUuXBgDcvXsXQoh4y6KiohASEgIAsLW1lRUzEVF6Y2YGrFkDjBsHGLkFKxERUQKyE4y1a9eidevW+P3339GzZ0989913yJ49O3LkyIFSpUqhV69e+OOPP9CyZUusWbNGVhlXrlyBWq2GpaUlChQooHOdokWLAgAuX75s0D59fX3RokUL3L59GwMGDMCLFy8ghEBISAg6deqEd+/ewcrKCvXr15cVMxFReuTkBCxZIvXJiI5WOhoiIsrIZA9TGxISgs2bN8PMTH+OYmZmhnHjxqFatWqyynjw4AEAwN3dXW85OXLkiLduUiwsLLBv3z4cPXoUo0ePhqenJywsLLQdxe3t7bFs2TIUKlQo0f1ER0cjOs6vdEREBABArVbLGtkqpdRqNYQQipRNhmEdmYaMXE+FCwP9+wODB6uwbJmASqV0RPJl5HrKKFhHpoH1ZBqUrCc5ZcpOMBwdHeHm5pbkem5ubnBycpJVhuaiPbHmSnZ2dgCA8PBwg/e7ZMkSjBw5EuXLl8fhw4eRJ08ePHz4EMeOHUPXrl1RsWLFJPcREBCAKVOmJHg9NDQUUVFRBsdiLGq1GuHh4RBCJJr0kXJYR6Yho9dTpUrAhQv2mDtXje7dDeu7lh5l9HrKCFhHpoH1ZBqUrKcPHz4kexvZCUbNmjVx9uxZdO3aNdH1zp49i3r16sV7LSIiAj/++CPWKjCsyZIlSzBo0CDky5cPp06dgrW1NQCgePHiqF27NooUKYI2bdpgzpw5CTqVxzV27FgMHz5c+3dERARy5coFd3d3ODo6pvr7+JZarYZKpUr0aQ8pi3VkGjJDPc2YAXTurELlyg6oUUPpaOTJDPVk6lhHpoH1ZBqUrCcbG5tkbyM7wZg8eTL+7//+D1mzZkWTJk10rnPo0CHMmzcPBw8ejPf658+fsWHDhiQTDM2FemIjRH369AkADH5KMmvWLADSqFSa5ELD3t4eP/zwAyZMmAALCwvMnTtX736sra0TbA9IzcKUOkBVKpWi5VPSWEemIaPXk5kZsHo10LKlCuvXA15eSkckT0avp4yAdWQaWE+mQal6klOe7ARj/vz5cHNzQ/PmzZEnTx4ULVoUHh4eAIBXr17h3r17ePz4MRo2bIhJkybF29bQIWU1HbtDQ0OhVqt1vkHNpH76OoHH9fr1azx79gwAUKxYMZ3raF5fuXIlAgMDYW5ublCsRESmxMEBWL4c8PUF9u8HZNygIiIi0kl2grF+/Xrt/z969AiPHj3Sud7Ro0d1vq4yoHdh+fLlYWZmhq9fv+LBgwc6O17/9ddfAIAKFSokHbQB5WuSmA8fPiAiIgIuLi7J2i8RkakoWBAYPhwYOFB6omHKnb6JiCj9kJ1gAMBPP/0kqwN3WFhYvP4L+nh4eMDb2xvBwcE4depUggTj3r17ePbsGRwcHNCoUaMk9+fm5gYXFxe8f/8e9+7dQ8OGDROsc+/ePQBSx3K5ndOJiExFw4bAjRvA4sXAkCFKR0NERBlBihKMDh06aJtFJcerV68wbNgwg9b19/dHcHAwgoKC0Lt3b1hY/C/kefPmAQBGjRqlHU0KAK5evYouXbqgRIkS2Lp1q3YbMzMzdOnSBYsXL8aSJUswYMCAePuLjo7GsmXLAAA+Pj5si0hEmcKoUUC3bsDp00CdOkpHQ0REpk72FXRwcDBcXV1lbevq6org4GCD1vX29saMGTNw+/ZttGzZElevXsX9+/fh5+eHVatWoUmTJhg7dmy8bdauXYu7d+9i165duHHjRrxl06dPR4UKFXD//n00a9YMv/76K54+fYqzZ8+iYcOGePz4MQoXLoz58+fLem9ERKZGpZL6YwQEAHpauxIRERlMdoLh7e0d7+6/PpGRkZg6dWq81ywtLeHt7W1wWePGjcPhw4fx+fNn1KlTB2XLlsWxY8ewcOFC/PLLLwniaNu2Ldzc3FCzZk2UKFEi3jJHR0f8+uuvWLhwIT5+/IjmzZsjX758aNGiBaKjozFr1ixcvXoV2bNnNzg+IiJTZ28PrFoF9OkD/HdwPiIiIllUQgiRmgW8evUKnp6eiI2NTc1iFBcREQEnJyeEh4crNg/G69ev4eHhwaZd6RTryDRk9no6fRpYtw74+ef03ek7s9eTKWAdmQbWk2lQsp7kXOOmqA8GAOzZsweHDh3C8+fP8eXLlwTLdb1GRETpU506wK1bwNy5Ut8MIiKi5JKdYMTGxqJly5Y4dOgQhBBQqVTQ9zDEkCFpiYgofRgyRJof49gxaZQpIiKi5JCdYCxevBjHjx/HtGnTUKlSJTRv3hyrV69Gzpw5AQDPnz/Hjh07cPz4cfz8889GC5iIiFKXSgUsWQK0aAEUKCDNl0FERGQo2QnG5s2bMXnyZPj5+QEAzM3NUblyZeTPn1+7TqdOnTBgwACcPXsWbdq0SXm0RESUJmxtgTVrgJ49gX37gCxZlI6IiIhMhexeIn/99ReaNm2a5Hr9+vXD4cOH5RZDREQKyZUL8PeXRpZSq5WOhoiITEWKuqHHnenaxsYGL168SLCOhYUFnj9/npJiiIhIITVqADVrAjNnKh0JERGZCtkJRp48eXD37l3t3zlz5sT+/fsTrLd161bY2trKLYaIiBTWvz/w7Blw4IDSkRARZU5v3yodQfLI7oNRsWJFjBs3DqVLl0b27NlRr149LFiwAJGRkahfvz4A4PDhw1i3bh0aNGhgtICJiChtqVTAwoWAjw9QqBBQtKjSERERZR6nTwMBASqsWKF0JIaT/QSjbdu2uHbtGqpXrw4AGDlyJJydnbF8+XK0bt0arVu3xurVq2FmZgZ/f3+jBUxERGnP2hpYuxYYOBAID1c6GiKizGHZMmnAjb17BezslI7GcLITjEaNGuHFixf4/fffAQDZs2fHr7/+isaNG8Pe3h62traoVasWTp8+jYoVKxotYCIiUkaOHMCMGUDv3uz0TUSUmr5+BQYNAt68ATZtgkklF0AKmkipVCpky5Yt3mtFihTBwYMHUxwUERGlT5UrA40bA5MnA1OnKh0NEVHG8+4d0KMH0K0boJnlQc9c1ulWikaRIiKizKdXL+D9e2DPHqUjISLKWO7elZKKKVP+l1yYItlPMGJiYrBs2TIIIWBtbY1+/frFWz5jxgwUK1YMrVq1SnGQRESUvsyfD7RsCRQuDJQsqXQ0RESm78gRaUCNLVuA7NmVjiZlZD/B2LNnD4YOHYoff/wRa9asSbD8xo0baNOmDbp06QI1G+sSEWUolpZSp+8hQ6TH+UREJI8QwIIFwI4dwL59pp9cAClIMPbu3YscOXLgwoULuHTpUoLlO3bswKFDh3D06FGsXbs2RUESEVH64+EBzJkD+PoCsbFKR0NEZHqio4G+fYGYGOmmjY2N0hEZh+wE49KlS5g1axYqV66sd53GjRtj5syZWLlypdxiiIgoHStfHmjdGhg3TulIiIhMy+vXQKtWQIsWwKhR0pxDGYXsBOP58+eoUqVKkuvVrl0bf//9t9xiiIgonevSRbr7tm2b0pEQEZmGmzeBDh2AwECgWTOlozE+2Z28ra2t8fXr1yTXi4mJQSyfnRMRZWiBgdKTjKJFgTJllI6GiCj92rcPWL1a6nPh5qZ0NKlD9hOM4sWLY/369Umut379ehQvXlxuMUREZAIsLKT2w8OHSxNDERFRfEIAM2cCR49Kw3xn1OQCSEGC0bVrV8ydOxdDhgzR2QTq/v37GDx4MObOnYvu3bunKEgiIkr/smaVRkLp1UtqMkVERJLPn6XJ8xwcgGXLACsrpSNKXbKbSPXt2xe7du1CUFAQlixZAgcHB7i7uwMAQkND8eHDBwBArVq10LdvX+NES0RE6Vrp0lKfjFGjpGSDiCize/EC6NlTesLboIHS0aQN2U8wLCwscPjwYfTv3x8WFhaIiIjAgwcP8ODBA0RERMDCwgL9+/fHoUOHYG5ubsyYiYgoHWvXThpqccMGpSMhIlLWlSvSTZeFCzNPcgGk4AkGANjY2GDp0qWYPHkygoOD8fjxYwBAnjx5ULt2bXh4eBglSCIiMi3TpwNt2wLFiwMVKigdDRFR2tu+Hdi6Fdi1C3BxUTqatJWiBEPDw8MD7du3N8auiIgoAzA3lzp9t2ol/cBmy6Z0REREaUOtBiZPBsLDpeTCwihX26ZFdhMpIiKixDg7A0FBUtvjL1+UjoaIKPVFRgKdOwNeXlKzqMyYXABMMIiIKBUVLw707QsMG6Z0JEREqevJE8DHB+jfXzrvZWZMMIiIKFX5+ADu7sCqVUpHQkSUOi5ckJ7WrlgBeHsrHY3ymGAQEVGqmzQJOHFC+hEmIspINmwA5s8H9u4F8udXOpr0gQkGERGlOjMzYPVqYOJE4PlzpaMhIkq52Fhg9Gjgzh1pxChHR6UjSj+YYBARUZpwdJRmsPX1BaKilI6GiEi+iAigfXvgu++AwEBp5Dz6HyYYRESUZgoXBoYMAQYPBoRQOhoiouR7+FAagnvECKBrV6WjSZ9SPcGIjIzEuHHjUrsYIiIyEU2aSO2Uly5VOhIiouQ5cwbo10+a56dKFaWjSb9SPcH4+PEjAgMDU7sYIiIyIX5+Uofvs2eVjoSIyDArV0qjRO3bB+TOrXQ06ZtB03/06tVLdgGfP3+WvS0REWVMKpX0Q+3jA+TLxx9rIkq/YmKk5lDOzsDmzdKgFZQ4gxKM9evX612mUqkg9DSk1SxTqVSygiMioowrSxbpjmDv3sD+/YCtrdIRERHF9/69NL9Fp05Au3ZKR2M6DJ7A/KeffoKTk1O814KDg7Fjxw60adMGxYoVQ/bs2QEAL1++xN27d7Fr1y5UrlwZ3bt3N27URESUIeTPD4waBfzwA7BunfRkg4goPbh3DxgwAJg9GyhfXuloTIvBCUaHDh3g4eGh/fvixYsICgpCSEgIsmXLpnOb2bNno3HjxgkSEyIiIo369YGbN4EFC4Dhw5WOhogIOH5cmjxv0yYgRw6lozE9BrUiO3LkCFxdXeO9NnXqVMyaNUtvcgEA2bNnx5w5czB//vyURUlERBna8OHAjRvAyZNKR0JEmZkQwMKFUl+LvXuZXMhlUILRsGFDWFjEf9hx6dIlFClSJMltixQpgps3b8qLjoiIMgWVCli+XGqK8PCh0tEQUWb05QvQvz/w+TOwfj37haWE7H7w0dHRuH//fpLr3bt3DzExMXKLISKiTMLWFli9GujbF4iMVDoaIspM3ryRJs9r0kQaRpv9wVJGdoJRqlQpDB8+HK9fv9a7zqtXrzBixAiUKlVKbjFERJSJ5M4NTJwoJRmc6ZuI0sKff0ojRM2cCbRooXQ0GYPBnby/NXLkSLRp0wYFCxaEj48PypcvD3d3dwghEBoaiv/85z/Yv38/IiMjsWvXLmPGTEREGZi3N3DrFhAYKN1JJCJKLb/8Is3Js3074O6udDQZh+wEo1WrVggICMCECROwefNmbN68Od5yIQTMzMwQEBCAli1bpjhQIiLKPAYOBPr0AY4cARo3VjoaIspohJD6fD14IHXmtrJSOqKMJUVzEY4ZMwaXL19Gjx49kD9/flhZWcHKygr58+dHr169cOXKFYwePdpYsRIRUSahUgFBQcBPPwEGdPcjIjJYVBTQqxdgbS09vWByYXyyn2BolClTBmvWrDFGLERERFo2NsDatUC3btIdRkdHpSMiIlP38iXQowcwbBjQsKHS0WRcKXqCQURElJpy5gSmTQN69wbUaqWjISJTdvUq0KmT9GSUyUXqSnGCERUVhY0bN6J///5o3rw5Xr58CQDYsWMH3r59m+IAiYgoc6taVZrte9o0pSMhIlO1cycweTKwaxdQtKjS0WR8KUowzpw5g/z586NHjx5YuXIlDh8+jE+fPgEAAgICkDt3buzZs8cogRIRUebVpw/w6hWwf7/SkRCRKVGrgSlTgHPngN27AVdXpSPKHGQnGPfv30ezZs3w6tUrVK5cGZ07d4alpaV2+d69e9GxY0e0b98e165dM0qwRESUef30k9Qh884dpSMhIlPw6RPQtSuQLRuweDEQ5zKVUpnsBCMgIABOTk64du0afvvtN2zcuDFegpE3b16sXr0aXbp0QWBgoFGCJSKizMvKSur0PWgQEBamdDRElJ49ewb4+Ej9t/r3VzqazEd2gnH69GksWLAgyVm6f/jhB1y+fFluMURERFrZs0sT8PXurUJsrNLREFF69McfQPfuwLJlQO3aSkeTOclOMF6+fIny5csnuV727Nnx77//yi2GiIgongoVgGbNBAIDsygdChGlM5s2SRPo7dkDFCigdDSZl+wEw8nJCY8fP05yvdu3b8PZ2VluMURERAn06AF8+qTCjh1KR0JE6YFaDfj5AdevAzt2AE5OSkeUuclOMKpWrQo/Pz98/vxZ7zoRERGYMGECqlevLrcYIiIinfz9P2DTJhVu3lQ6EiJS0ocPQIcO0vCzc+cC5uZKR0SyZ/IeOXIkvL29kT9/fvTu3Rvly5eHWq3G1atXcfv2bVy6dAlr167F69evsWzZMmPGTEREBEtLYM0agY4dVdi5E8iaVemIiCithYRIw1hPmQJUq6Z0NKQhO8GoXr06FixYgOHDh2PmzJna19u3b6/9f5VKhcWLF6NixYopi5KIiEgHd3dg3jygVy9pjHsL2b9qRGRqzp2TJuBcswbIk0fpaCiuFE20N2TIEJw9exZNmjSBra0thBAQQsDW1hbNmjXDr7/+ih9++MFYsRIRESVQtqzUPMLPT+lIiCitrF4NLF0K7N3L5CI9SvG9nmrVquHAgQNQq9V48+YNAMDNzQ1mZinKXYiIiAzWsSNw7RqweTPQubPS0RBRaomJAUaOBBwcgC1bAF5upk9GqxYzMzN4eHjAw8ODyQUREaW5gABg507g6lWlIyGi1BAWBrRtC1SqJDWN4uVm+iW7ajp06IA//vhD7/Ldu3cjX758yJ8/PwpwIGIiIkpl5ubSTN8jRwKvXysdDREZ0/37QOvWwLhx0hNLSt9kJxg7duxAjRo14nXwjqt69epYv349Jk6ciEePHskthoiIyGCursDChUDPnsDXr0pHQ0TGcPIkMHgw8PPP0kSblP6l6OGSWq3GxIkTUbdu3QSzdWfLlg3e3t4cQYqIiNLUd99Jo0qNGKF0JESUEkIAQUHAhg3Avn1AzpxKR0SGSlGCceDAARQoUADBwcEoU6YMDh48aKy4Ejh69Cjq168PV1dX2Nvbo1y5cggKCoJarU7WfmrVqgWVSpXkP84+TkRkulq3lmbyXbtW6UiISI6vX4EBA4DwcOnJha2t0hFRcqQowShfvjyuXbuGrl274s2bN2jRogWGDBmCL1++GCs+AEBgYCAaN24MGxsbnDhxAteuXUP9+vUxePBg+Pj4ICYmJln7y5o1K4oUKaL3HwAUK1bMqO+BiIjS1pQpwOHDQCLdBYkoHXr7FmjVCmjQABg/HlCplI6IkivF/e/t7e2xYcMGbNy4EVmyZMGSJUtQqVIl3Lt3zxjx4fz58/Dz80Px4sWxZ88elC9fHoULF0ZgYCD69OmDAwcOIDAwMFn7HDRoEP766y+d/4KCggAAgwcPNkr8RESkDDMzaQKuceOAFy+UjoaIDHH7tjRS1PTpQMuWSkdDchltgK/OnTvj6tWrKF++PG7cuIHy5ctj9erVKd7v5MmTAUgX/JaWlvGWjfhvA9vZs2fj8+fPBu2vSJEi8PT01Lt80aJFyJ49O9q2bSsvYCIiSjecnIAlS6Q+GdHRSkdDRIk5dAgYNQrYtg0oXVrpaCgljDqCcIECBXDhwgWMGDECnz9/Rr9+/dCnTx/Z+wsNDcWZM2cAAHXr1k2wvEiRIvDy8kJERASOHDli0D5XrFiBvn376lz28OFDHDp0CP3790+QzBARkWkqWlRqyz10qNKREJEuQgBz5gB79kgzc3t4KB0RpVSKZvLevn07nJyc0Lx5c7i4uEg7tLDAnDlzUL9+fXTr1g2///47VDIbz125cgVqtRqWlpZ659IoWrQonj17hsuXL6NVq1ay3wsALFmyBBYWFujXr1+S60ZHRyM6zu2wiIgIANLIWsnteG4MarUaQghFyibDsI5MA+vJNCS3npo2lWb6XroU6N8/lYMjADyWTIXS9RQdDQwcqELx4gIrV0r9LfiVSUjJepJTpuwEo2bNmtizZw9UKhWqVKmiTTA0GjRogJs3b6Jbt244fvy4rDIePHgAAHB3d9c7O3iOHDnirStXZGQk1q5di7Zt2yJ79uxJrh8QEIApU6YkeD00NBRRUVEpikUOtVqN8PBwCCE4k3o6xToyDawn0yCnnnr3BgYMcIKn5ydUrsxJMlIbjyXToGQ9hYaaYehQJ/j6RqJu3S8IDU3T4k2KkvX04cOHZG8jO8HQNF1KjIeHB44ePYonT57IKkPzVMA2kbHJ7OzsAADh4eGyytDYuHEjwsLCDO7cPXbsWAwfPlz7d0REBHLlygV3d3c4OjqmKBY51Go1VCpVoskYKYt1ZBpYT6ZBbj1t2AC0amWDcuUEvLxSMUDisWQilKqn69eBkSNVWLRIoHhx5zQr11QpeTzZ2Ngke5sUNZEyRGRkJNavX49JkyaldlEpsnjxYlSsWBGVKlUyaH1ra2tYW1sneN3MzEyxE6lKpVK0fEoa68g0sJ5Mg5x6cnICVqwA+vRRYf9+QMbvJiUDjyXTkNb1tGcPsG4dsHMnkDUrx6A1lFLHk5zyUj3Cjx8/6mxKZAjNk4DERoj69OkTAMDJyUlWGQBw8uRJ3LlzB0OGDJG9DyIiMg0FCwLDhwMDB0qdS4kobQgBTJsGnDolJRlZsyodEaUWg59gnDlzBnv27EGvXr1QpkwZ9OrVy6DtDB0+VhdNx+7Q0FCo1WqdGdSL/w5urq8TuCEWL17MoWmJiDKRhg2BGzeAxYsB3lsiSn2fPgF9+wJVqwITJyodDaU2gxOM1q1bIywsDFeuXMGFCxewfv16gwuRO4pU+fLlYWZmhq9fv+LBgwcoVKhQgnX++usvAECFChVklRESEoKDBw9i4sSJsLKykrUPIiIyPaNGAd26AcHBQO3aSkdDlHE9fw707AmMGQPomHWAMiCDE4zhw4dj69at6B9nfL+ffvopyaZJYWFh8TpDJ4eHhwe8vb0RHByMU6dOJUgw7t27h2fPnsHBwQGNGjWSVUZQUBDMzc0NGpqWiIgyDpUKWL4c8PEB8uUD8uZVOiKijOfSJWDsWOlY03GfmDIogxOM8ePHY/z48fFe69ChAzySmA3l1atXGDZsmLzoAPj7+yM4OBhBQUHo3bs3LCz+F/K8efMAAKNGjdKOJgUAV69eRZcuXVCiRAls3bo13jZxxR2aVjPcLRERZR729sCqVUCfPsD+/UCcnxIiSqEtW6SO3Lt3A87OSkdDaUl2J+/g4GC4uromuZ6rqyuCg4PlFgNvb2/MmDEDt2/fRsuWLXH16lXcv38ffn5+WLVqFZo0aYKxY8fG22bt2rW4e/cudu3ahRs3bujdd3KHpiUioownb17Azw/o14+dvomMQa0Gxo8HrlyREgwmF5mP7ATD29tb75OBuGJjY/H48WO5xQAAxo0bh8OHD+Pz58+oU6cOypYti2PHjmHhwoX45ZdfEsTRtm1buLm5oWbNmihRooTe/QYFBaFChQqoXLlyiuIjIiLTVrcuUL48MHeu0pEQmbaPH4GOHYECBYD58wEDLhUpA1IJkbr3a169egVPT0/ExsamZjGKi4iIgJOTE8LDwxWbaO/169fw8PDgeOPpFOvINLCeTENq1JMQgK8v0L69NMoUpQyPJdNgzHp6/Bjo3Rvw9weqVzdSgARA2eNJzjWuQXnlzz//LDuolM6wTURElBZUKmDJEqBFC+nua8GCSkdEZDp+/RWYPBlYvZoDJpCBCUaPHj1kDzUrhJC9LRERUVqytQXWrJGG1Ny3D8iSRemIiNK/tWuBo0eBvXsBBwelo6H0wOCWcW3btoWtrW2yC/j06RN27dqV7O2IiIiUkCuX1MSjTx9pFBzeIyPSLTYWGD0asLYGtm0D2BKONAxOMBYtWpTkkLS6vHz5Ejt37kz2dkREREqpUQP4809g5kxpNBwiii88XHrS17o10Lmz0tFQemNQrunv748sMp8TOzg4wN/fX9a2RERESunfH3jyBDh4UOlIiNKXf/4BWrWShndmckG6GPQEIyUJgpWVFWrXri17eyIiIiWoVMCiRVKn74IFgaJFlY6ISHmnTwOzZgEbNgBeXkpHQ+lVqreWe/fuHRMMIiIySdbWUgfWAQOkJiFEmdnSpdLxsG8fkwtKXIqnP3n58iVOnDiB58+f48uXLwmWf/z4MaVFEBERKcbTU+qL0bs3sH07O7JS5vP1K/Djj0D27MDGjRz4gJKWogRjzpw5mDRpUrzEQjNvH4emJSKijKJyZaBxY2mc/6lTlY6GKO28ewf06AF07y516CYyhOwE48CBAxgzZgzq1auHypUrIzAwEP3794erqysA4Pnz5zh8+DDevXuHESNGGC1gIiIiJfTqBQweDOzZI3VwJcro7t4FBg4E5s0DypZVOhoyJbITjMWLF6N79+5Yt24dAGDBggUYOnQo8ufPr10nMjISTZo0MXhacSIiovRs/nygZUugcGGgZEmloyFKPUeOSIMcbNkiNY0iSg7ZLUmvXr2K/v37J7qOvb09pk2bhs2bN8sthoiIKN2wtJQ6uQ4ZArx/r3Q0RMYnhJRI79wpzczN5ILkkJ1gREZGwtPTU/u3hYUFwnUMsZEzZ078/fffcoshIiJKVzw8gDlzpCZTsbFKR0NkPNHR0gz2sbHAmjWAjY3SEZGpkp1g5MyZEy9evND+7e7ujgsXLiRY7+zZs3KLICIiSpfKl5f6YYwbp3QkRMbx+rXU/M/HBxg1iiNFUcrITjBKlCiBBQsWaP+uXLky/P39sXPnToSFhSEsLAxbtmzB6NGjUaJECaMES0RElF507QrExADbtikdCVHK3LljgU6dVJgzB2jWTOloKCOQ3cm7VatW6NmzJ16+fIng4GAMHToUW7duRYcOHRKs++OPP6YkRiIionQpMFAaurNoUaBMGaWjIUq+ffuAZcuyYNs2AQ8PPrYg45CdYLRu3Ro2Njawt7cHAJQvXx6bNm3CgAED8P6/Pd/s7Ozg7++PTp06GSdaIiKidMTCQur03bYtsGMH4OamdEREhhECCAgAHj9WYc2aMLi5eSgdEmUgshOMLFmyoH379vFea9++PVq1aoVbt25BrVajRIkSsLW1TXGQRERE6VXWrMCCBVKn7z17pKSDKD37/Bno1w+oUAFYulQgNFTpiCijkd0HQx9LS0uUK1cO33//PZMLIiLKFEqXBrp0kTrHEqVn//4rdeTu2lWaOJKduSk1GD3B+NarV69gbm6e2sUQEREpql07aVjPn39WOhIi3a5ckRKLxYuB+vWVjoYyshQ/yI2JicH9+/fx/v17xOoYEPzt27cpLYKIiMgkTJ8u9ccoVkxqfkKUXmzfDmzdCuzaBbi4KB0NZXSyE4yYmBj4+flh1apV+PjxozFjIiIiMknm5tIEZa1bSxdz2bIpHRFldmo1MHkyEBEhJRfsI0RpQfbXbPz48Zg/fz6sra1RqlQpODk5QaWjId+XL1/w+++/pyhIIiIiU+HiIjVB6dlTGgLUykrpiCiziowEfH2BOnWAvn2VjoYyE9kJxqZNm9CiRQv8/PPPcHBw0Lvey5cv4enpKbcYIiIik1OihHRBN2wYsGSJ0tFQZvTkiZRcTJgAeHsrHQ1lNrI7eYeFhWHy5MmJJhcA4ODgAH9/f7nFEBERmSQfH8DdHVi1SulIKLO5cEEaNnnlSiYXpAzZCUapUqVgbW2d5Hr29vZMMIiIKFOaNAk4cUK64CNKCxs2SPOy7NkD5MundDSUWclOMKZPn46FCxcmuR6HqSUioszKzAxYvRqYOFGaf4AotcTGSvOw3L0LbNsGODoqHRFlZrL7YNStWxdmZmZo06YNKleujAIFCsDV1TVBR28OU0tERJmZoyOwbJnUZGXfPmmuDCJjioiQBhXQTKBHpDTZCYZarcahQ4dw5MgR7N2715gxERERZSiFC0uzJg8eLLWL5+zJZCwPHkgDCkyfDlSponQ0RBLZCcbMmTMxf/582NjYoHTp0nB0dOQwtURERHo0bQrcuAEsXQoMHKh0NJQRnDkDzJgBrF8P5MqldDRE/yM7wVi7di1atmyJn3/+Gfb29nrX4zC1REREkrFjgc6dgZIlOboPpczKlVKCsW8fkMhlGJEiZCcYr169gr+/f6LJBcBhaomIiDRUKunC0MdHGuEnd26lIyJTExMDDB8OuLoCmzZJAwkQpTeyv5bFihWDlQHTk3KYWiIiov/JkkVKMnr3Bj5/VjoaMiXv3wOtWwPVqwOTJzO5oPRL9ldz0qRJmDdvXpLrcZhaIiKi+PLnl4YU/eEHQAiloyFT8NdfUnIxaRLQrp3S0RAlTnYTKWdnZ5ibm6NMmTLo0qULh6klIiJKhvr1gZs3gZ9+AoYNUzoaSs+OHZMmz9u8GciRQ+loiJImO8GoVasWVCoVhBAYM2aMMWMiIiLKFIYPB3r0AE6eBOrVUzoaSm+EABYtAq5d4xwqZFpkJxgAULly5ST7YXCYWiIiIt1UKmkSvhYtpGZT+fMrHRGlF1++SPOm5MsHrFvHuVPItKQowdi7dy88PDwSXYfD1BIREelnZwesXg34+gL793PIUQJCQ6UnW337SsknkamR3cnb19cXdnZ2Sa7HYWqJiIgSlycPMGGCdEHJTt+Z261bQPv2wKxZTC7IdMlOMGJiYjBkyBAMS6JnGoepJSIiSlqtWkCVKkBgoNKRkFJ++QXw8wO2bwe++07paIjkk51gbNiwAUeOHIGjo6Mx4yEiIsq0Bg4E/vkHOHJE6UgoLQkhJZYHDwJ79wLu7kpHRJQysvtgmJmZYevWrahVq5YRwyEiIsq8VCogKEia6btgQaBQIaUjotQWFSXNh1KmDLBiBTtzU8Yg+wlGtmzZkJ/DXRARERmVjQ2wZg3Qvz/w4YPS0VBqevFCSiY7dACGDmVyQRmH7ASjUaNGOHv2bJLrcSZvIiKi5MmZE5g6FejdG1CrlY6GUsPVq0CXLtJEiw0bKh0NkXHJTjBmzJiBn376CUcMaCgqOCQGERFRslSrBtStC0ybpnQkZGw7dwJTpkj/LVpU6WiIjE92H4xx48bB09MTzZo1Q758+VC0aFG4u7tD9c3zvc+fPyd4jYiIiJLWt6/UPn//fg5ZmhGo1VLC+PYtsGsXYGmpdEREqUN2grF+/XqoVCoIIfDw4UM8fPhQ77pMMIiIiORZuFBqp1+oEFC8uNLRkFyRkUCfPkDNmgBH76eMLkUzeS9YsABOTk6JrhMWFobhw4enpBgiIqJMy8oKWLsW6NQJ2LMHcHZWOiJKrqdPgV69gHHjgNq1lY6GKPWlKMHo0KEDPDw8El3n1atXSU7GR0RERPplzy7Nk+DrC+zYAXDsFNPx++/A+PHAypVAgQJKR0OUNmR38j5//jyyZs2a5Hru7u4ICQmRWwwREREBqFABaN4cmDRJ6UjIUBs3AnPmSJPnMbmgzER2glGtWjWDhp81MzNDnjx55BZDRERE/9WjB/DxozT6EKVfajXg5wfcvCk9cXJ0VDoiorSVoiZSABAVFYWff/4Zx44dw+PHjwEAefLkQaNGjdC1a1fY2NikOEgiIiKSzJ0LtGoFFCkClCqldDT0rQ8fpP4WTZtKCSFRZpSiBOPGjRto2bIlHj9+HG+ui6tXr2Lfvn2YNWsW9u7di1I8AxIRERmFpaXU6btdO2moUwNaK1MaCQmRRoqaMkWax4Qos5KdYLx69QoNGzbE69evUbJkSVSsWBHZsmXTLrt06RL+/PNPNGzYENevX9cuIyIiopRxdwfmz5fulO/eDVikuD0CpdS5c9IcF2vWAGwZTpmd7FPSrFmzEBsbixMnTqBu3bo61zl58iQ6duyI2bNnY968ebKDJCIiovjKlgU6dJDa+s+dq3Q0mdvq1cDJk1Jn7ixZlI6GSHmyO3kfOnQI8+bN05tcAEC9evUwd+5cHDhwQG4xREREpEfHjoCZGbB5s9KRZE4xMcCPPwJPngBbtjC5INKQnWA8ffoUtWrVSnK9WrVq4enTp3KLISIiokQEBEijSl29qnQkmUtYGNC2LVC5MjB1qpToEZFE9uFga2uLd+/eJbneu3fvYGtrK7cYIiIiSoS5udTpe+RI4PVrpaPJHO7fl0byGjdOaqZGRPHJTjDKlCmDn376Kcn15s2bh7Jly8othoiIiJLg6gosXCh1+v76VeloMrYTJ4DBg4FNm6TJD4koIdkJRp8+ffDzzz+jWbNmOHbsGN6/f69d9u7dOxw5cgSNGjXC1q1b0bdvX6MES0RERLp99x3QsycwYoTSkWRMQgBBQdLs3Pv2AZ6eSkdElH7JHkWqY8eOOHjwILZu3YojR44AkGbtBgC1Wg0AEEKgU6dOaN++vRFCJSIiosS0bg1cuyY1merVS+loMo6vX4EhQ4BcuYANGwCVSumIiNK3FHVJ2rRpE2bNmgVXV1cIIRAbG4vY2FgIIeDq6orAwEBs3LjRKIEePXoU9evXh6urK+zt7VGuXDkEBQVpkxk5Dh48CB8fH+TIkQPW1tbInj07qlatijFjxuDFixdGiZuIiCgtTZkCHDoE/PGH0pFkDG/eAC1bAg0aSH0umFwQJS1FCYZKpcLo0aPx4sULXLx4Edu2bcO2bdtw8eJFvHjxAqNGjYLKCEdiYGAgGjduDBsbG5w4cQLXrl1D/fr1MXjwYPj4+CAmJiZZ+4uNjUX37t3RpUsXVK1aFSdOnMC9e/ewdu1afPz4EbNnz8bt27dTHDcREVFa03T6HjsW4L2ylLl9W5oxfcYMKckgIsMYZe5PCwsLVKpUCZUqVTLG7uI5f/48/Pz8ULx4cezZsweWlpYApKTj/fv3WLVqFQIDAzF+/HiD9+nn54fNmzfjwoULqFixovb1vHnzokiRIqhevTqsra2N/l6IiIjSgpMTsHSp1Exq3z6AP2nJd/Cg9Blu2wZ4eCgdDZFpMfgJxtSpU/Hp06fUjEWnyZMnAwAGDx6sTS40Rvy3J9vs2bPx+fNng/Z37949LFiwAO3atYuXXGgUKFAAL168QI0aNVIWOBERkYKKFgUGDACGDlU6EtMiBDBnjpSY7d3L5IJIDoMTjClTpuDjx4+pGUsCoaGhOHPmDADonDG8SJEi8PLyQkREhLajeVLWrFmD2NhYNG7c2JihEhERpTvNmwM5cwIrVigdiWmIjgZ695aama1axSc/RHIZ3ERKCIEdO3bA0dFRVkHdunVL9jZXrlyBWq2GpaUlChQooHOdokWL4tmzZ7h8+TJatWqV5D5PnDgBAChYsCA2b96MVatW4e7duzAzM0OJEiXQo0cPdO7c2Sh9R4iIiJQ2fjzQqRNQogRQvbrS0aRfL19Kw/wOHgw0aaJ0NESmLVl9MIYMGWLwut9eoMtJMB48eAAAcHd31w6B+60cOXLEWzcxsbGx2s7bfn5+ePjwIQICAlCuXDk8e/YMU6ZMQdeuXXHkyBFs2rQp0SQjOjoa0dHR2r8jIiIASEP0pmRkK7nUajWEEIqUTYZhHZkG1pNpYD0lz4oVQKtWKqxbJ+DllTZlmlIdXbsGjBqlwqJFAsWLAyYQstGYUj1lZkrWk5wyDU4wVCoVXrx4AQ8DGiPeu3cPrVu3xp07d2BjY4OlS5cmOzDgfxfttra2etexs7MDAISHhye5v/DwcHz97xSn586dw9WrV7WzjBcvXhzVq1dHyZIlsWXLFnh7eyc6QWBAQACmTJmS4PXQ0FBERUUlGYuxqdVqhIeHQwihNxkjZbGOTAPryTSwnpJv+nRzdOvmiPXr38PGJvXLM5U6OnjQGjt22CIoKByurgKvXysdUdoylXrK7JSspw8fPiR7m2Q1kTLEzp070bt3b3z8+BF58uTB7t27Ua5cuWQHlhridlKvUaOGNrnQsLOzQ58+fTBu3DgsXrw40QRj7NixGD58uPbviIgI5MqVC+7u7rKbkaWEWq2GSqVK9GkPKYt1ZBpYT6aB9ZR8Hh7A6NHAlCnZsHq1SPX5HNJ7HQkhDT/76pUKBw4IWFq6Kx2SItJ7PZFEyXqykXFHwuAEIzg4GK6urnqXx8TEYMSIEQgKCoIQAvXr18fWrVsT3SYpmgv1xEaI0iQNTk5OSe4v7pOQ4sWL61ynfPnyAIDbt2/j06dP2ick37K2ttY5lK2ZmZliB6hKpVK0fEoa68g0sJ5MA+sp+Zo0AW7dApYsUSEZrZ5lS6919OkT0LcvULUqMGkSAGTufpfptZ4oPqXqSU55Bm/h7e0NCwvd+cjz589Rs2ZNBAUFAQDGjRuHo0ePpii5AKDt2B0aGqq3/Zdmxm19ncDjcnZ21mZh+mJzcHAAID2xCQsLS27IRERE6dro0cDly0BwsNKRKOP5c8DHR+rQPWCA0tEQZUwpToFOnDiBsmXL4vfff4eDgwP27NmD6dOnG2UUpvLly8PMzAxfv37V24n7r7/+AgBUqFAhyf2Zm5ujVKlSAIBXr17pXEfzukqlgrOzs4yoiYiI0i+VCli+HJg5E3j0SOlo0talS0C3bsCSJYCO0e+JyEhSlGBMnToVTZo0wZs3b1C8eHFcunQJLVq0MFZs8PDwgLe3NwDg1KlTCZbfu3cPz549g4ODAxo1amTQPn18fAAAN27c0LlcM8pU6dKl9TaPIiIiMmX29tI8D336SM2FMoMtW4BZs4Ddu4FChZSOhihjk5VgvHv3Do0bN8aUKVMQGxuLtm3b4o8//kDhwoWNHR/8/f0BAEFBQYiJiYm3bN68eQCAUaNGxUsGrl69iuLFi6Nt27YJtunXrx+yZs2K//znP7h48WK8ZdHR0Vi+fDmA/80STkRElBHlzQv4+QH9+0sdnjMqtVqaC+Q//wF27gTYOIEo9SU7wbh06RLKlSuH48ePw8zMDHPnzsX27dthb2+fGvHB29sbM2bMwO3bt9GyZUtcvXoV9+/fh5+fH1atWoUmTZpg7Nix8bZZu3Yt7t69i127diV4UuHq6ort27fDxsYGbdq0wc6dO/HkyRNcuHABTZs2xbNnzzBkyBB06dIlVd4PERFRelG3LlCuHDB3rtKRpI6PH4GOHYECBYB586QZuoko9SUrwQgKCkLNmjXx5MkTuLm54cSJE/GGatXlzZs3yJ8/f4qCHDduHA4fPozPnz+jTp06KFu2LI4dO4aFCxfil19+SdD5vG3btnBzc0PNmjVRokSJBPurW7cubty4gfr162PYsGEoWLAgmjdvDktLS/zyyy9YuHBhiuIlIiIyFUOHAnfuAMeOKR2JcT16BLRsKc3M3auX0tEQZS4GD1PbsWNH7NixA0IIVK5cGbt27YKnp2eS28XGxuLx48cpChIAGjdujMaNGxu0rre3N0JDQxNdp3Dhwli/fn2K4yIiIjJlKhWwdCnQooV0p79gQaUjSrlffwUmTwZWr5aaghFR2jI4wdi+fTsAwNLSEvnz58eECRMM2i6xOSyIiIhIeba2wJo10tCt+/YBWbIoHZF8a9dKT2P27gX+O/I8EaUxgxMMAKhSpQqsrKzw/Plzg7f58uVLsoMiIiKitJUrF+DvL40stWULUn2mb2OLjZXm+LCxAbZuBThnHJFyDE4wVCoV9u7dCw8Pj2QV8PLlS+TMmTPZgREREVHaqlED+PNPaY6M8eOVjsZw4eHS05c2bYBOnZSOhogMzu9z584NcxnDL1hYWCB37tzJ3o6IiIjSXv/+wJMnwMGDSkdimL//Blq1kobcZXJBlD4Y/AQjJCREVgFubm6ytyUiIqK0pVIBixYBPj5Sh++iRZWOSL9Tp4DAQGDDBsDLS+loiEiDLRSJiIgoHmtrqdP3gAFS86P0aOlSYN06qVM6kwui9IUJBhERESXg6Sn1xfD1lWbDTi++fgUGDgTevgU2bgTs7JSOiIi+xQSDiIiIdKpcGWjUSJpTIj149w5o3RqoUweYONH0RroiyiyYYBAREZFevXtLF/Z79igbx9270ihRU6ZISQYRpV/JmgeDiIiIMp8FC4CWLYHChYGSJdO+/CNHpI7nW7YA2bOnfflElDx8gkFERESJsrSUZsgeMgR4/z7tyhUCmD8f2LlTmpmbyQWRaWCCQUREREny8ADmzAF69ZJmzU5t0dFA375SB/M1a6QZuonINDDBICIiIoOULy9NajduXOqW8/q11CSrRQtg5Eh25iYyNUwwiIiIyGBdu0pDxW7bljr7v3ED6NBBelrSrFnqlEFEqYudvImIiChZZs+WnmQULQqUKWO8/e7bJzWH2rEDcHMz3n6JKG3xCQYREREli4WF1Ol72DDgzZuU708IaVK/Y8eA3buZXBCZOiYYRERElGxubsBPP0mdvmNi5O/n82ege3fA0RFYuhSwsjJaiESkECYYREREJEvp0kCXLsCoUfK2//dfwMdH6tcxaBA7cxNlFEwwiIiISLZ27aQhZH/+OXnbXbkiJRaLFwP166dObESkDHbyJiIiohSZPh1o2xYoXhz4/vuk19+2Tfq3axfg8v/t3XtUVXXaB/AvIHC4y/2IKCoGqFGJV2oljbfy0jCZGmaNkpEoOeUlrdU0uMpInbVScyzjTdSStEEzxxnNImUCtLiYpRJQAhJyUAxSUAyE5/3D95yXwzkHQfbh+v2sddbK/dv7d9nP+Z32w765mr9/RNS+eAaDiIiI2sTK6tbTn1auBC5eNL1eQwPw2mvAN98wuSDqzphgEBERUZu5ut663CkyEqitNSy/dg2YOxfo3//WzeG9eA0FUbfFBIOIiIgUMWwYEBV16/G1jRUX37qZOzr6VjkRdW9MMIiIiEgxjz126xG2//M/t/59/PitR9nGxwNhYR3bNyJqHzxBSURERIqKjQVmz7bA2bOOKC21wKef3nrPBRH1DDyDQURERIqytAQ++EDg41OP3buFyQVRD8MEg4iIiBTn7AzMn18DK6uO7gkRtTcmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpBgmGEREREREpJheHd2B7kJEAABXr17tkPYbGhpQVVUFlUoFS0vmjZ0RY9Q1ME5dA+PU+TFGXQPj1DV0ZJy0x7baY92WYIKhkKqqKgBAv379OrgnRERERETKqqqqgouLS4vWtZDWpCNkUkNDA0pLS+Hk5AQLC4t2b//q1avo168ffvnlFzg7O7d7+3R7jFHXwDh1DYxT58cYdQ2MU9fQkXESEVRVVcHHx6fFZ094BkMhlpaW8PX17ehuwNnZmT8QnRxj1DUwTl0D49T5MUZdA+PUNXRUnFp65kKLF9sREREREZFimGAQEREREZFimGB0E7a2toiNjYWtrW1Hd4VMYIy6Bsapa2CcOj/GqGtgnLqGrhYn3uRNRERERESK4RkMIiIiIiJSDBMMIiIiIiJSDBMMIiIiIiJSDBMMIur2jh8/jsDAQFhYWKCoqKiju0MmME5ERN0DE4xO6PPPP8ekSZPg5uYGBwcHhISE4B//+AcaGhruqD6NRoPo6Gj0798ftra26N+/P6Kjo1FaWqpwz3sWJeNkYWHR7OfFF19UfgA9QE1NDZYvX45x48YhPz9fkTrz8vLw1FNPoU+fPlCpVPD398dLL72EK1euKFJ/T6RknIqKim47nzZu3KhMx3uI4uJivPHGG3jggQfg6uoKa2treHt7Y+rUqdi7d+8d18u5pCyl48S5ZB5lZWXYtm0bZsyYAT8/P9ja2sLOzg4BAQFYuHDhHf8GdrpjPaFOZe3atQJApk+fLllZWZKXlycrV64UAPLoo49KXV1dq+o7e/asuLu7i1qtlr1790pBQYHs3btXvL29xd3dXc6ePWumkXRvSscJgAwaNEgCAwONfuLi4sw0ku7r559/loCAAPHz85MvvvhCAAgAKSwsvOM6jx07JnZ2dhIYGCiff/65FBQUSEJCgjg6OsqgQYOktLRUuQH0EErHqbCwUACYnEuBgYGyc+dOZQfRjaWkpEivXr3E1tZW/vrXv0pmZqb89NNPkpSUJHfddZcAkDlz5kh9fX2r6uVcUpY54sS5ZB4jRowQADJv3jxJS0uToqIiyczMlKVLlwoAsbe3l9TU1FbV2RmP9ZhgdCJff/21AJChQ4dKbW2tXllUVJQAkDVr1rS4vrq6OgkKChIAkp6erleWlpYmAGTIkCGtPhju6ZSOk4i0+cCXDB04cEAWLVokVVVVIiJtPnCtrKwUDw8PUalUcu7cOb2yxMREASATJ05sa7d7HKXjpD0oImXs379fAMg777xjUHbhwgVxcnISABIfH9/iOjmXlGeOOHEumceIESNk2rRpRsvmzZsnAGTChAktrq+zHuvxm9OJjB8/XgDIe++9Z1CWm5srAMTZ2VmuX7/eovo+/PBDASBjxowxWj527FgBILt27WpTv3sapeMkwgTDHG7evKn377YeuL7++usCQJ544gmDsvr6evHx8REAkpaWdkf191RKx4kHRcrav3+/WFlZyZUrV4yWP/nkk61OCDiXlGeOOHEumceRI0fkxx9/NFr2zjvvCAAJDg5ucX2d9ViP92B0EuXl5UhJSQEATJgwwaA8MDAQvr6+uHr1Kg4fPtyiOpOSkkzWBwATJ04EAHzyySd30OOeyRxxIvOwsrJStL7m5pOlpSXGjx8PgPOptZSOEylr2rRpqKiogLOzs9FyX19fAEBFRUWL6+RcUp454kTmMXnyZAQFBRkt++abbwAAkyZNanF9nfVYjwlGJ5GVlYWGhgZYW1vD39/f6DraL2RmZmaL6vz222/1tmtrfWSeOGkdOHAADz/8MAYMGAAPDw/ce++9WLZsGc6fP9/mflPbXLt2DWfPngXA+dRVbN++HWFhYejXrx+8vLwwatQo/O1vf0N5eXlHd61Lsba2NnnQCty6sRQAgoODW1Qf55J5KB2nxjiXzKuurg75+flYunQpPv74Y8yYMQNr1qxp8fad9ViPCUYnce7cOQCAp6cnLC2Nh6VPnz566zanuroaly5dAgCo1epm6ysrK8P169db3eeeSOk4NbZ+/XqEh4fjwIED+OKLLxAREYH4+HjcfffdPBvSwQoLC3VPB7vdfGpt3Mk81q1bh2effRaHDh3CwYMHMWHCBMTFxSE4OBjZ2dkd3b1u4ebNm/jyyy8BADExMS3ahnOp/d1JnBrjXDKfOXPmwNbWFoGBgTh48CA+++wz7Nu3D3Z2di3avjMf6/Vqt5aoWVevXgWAZr9U9vb2ANCiR/hp62uuTm192job/5uMUzpOWkuXLsXy5cvRt29f3bKQkBAEBgbi8ccfx+zZs5Gbm6tXTu2nNfOJj9jsWM7Ozli5ciVeffVVvb/ojhkzBl5eXli+fDnCw8ORn5/P37w2SkhIQFlZGRYtWoRRo0a1aBvOpfZ3J3ECOJfaw4YNGxAbG4vi4mLs2rULf/rTnzBr1izEx8ejd+/et92+Mx/r8QwGUSfw9ttvG00eZsyYgeDgYFRXV+Pdd9/tgJ4RdS1ubm5Yt26d0ctFFi9eDA8PD1y4cAGJiYkd0Lvu4+eff8aKFSsQGhqKt99+u6O7Qya0JU6cS+anVqsRFBSEyZMn48MPP8SyZcuQlJSESZMmob6+vqO71yZMMDoJ7QSuqakxuY721JaLi0uL62uuzsanylpSJykfp5YICQkBAKSnpytSH7Vea+YT51LnpVKpMGzYMACcT22h0WgwefJkDB48GIcPH4ZKpWrxtpxL7actcbodziXzWL16NWxsbJCVlYWDBw/edv3OfKzHBKOT0N4wXF5ebvJN0NqbtEzdXNyYo6MjvLy8ANy67q65+tRqNU9vtpDScWoJ7XWVfPpHxxk4cCAsLCwA3H4+KRV3Mg/Op7YpLS3FhAkT4OXlha+++qrVByycS+2jrXFqCc4l5Tk5OWHAgAEAgBMnTtx2/c58rMcEo5MYMWIELC0tUVdXZ/LGttzcXABo8TWUo0eP1tuurfWReeJ04sQJ5OXlmSzX/mi05HpMMg8HBwfdX+s4nzq3o0ePori42GQ559OdO3/+PMaNGwcvLy8kJyfD1dW11XVwLpmfEnECOJfMobS0FFu3bm328icHBwcAQG1tbYvq7KzHekwwOgkvLy+EhYUBAL766iuD8ry8PJSUlMDJyQmPPPJIi+qcNWuWyfoAIDk5WW89uj1zxOmVV17BW2+9ZbL8u+++AwCEhobeQY9JKc3Np4aGBhw9elRvPeoYzzzzDBISEoyW/f7778jJyQHA+dRaP/30Ex588EH4+/vj8OHDcHR01JX98MMPLf69AziXzEnJOHEuKS8/Px+LFi0y+QdK7SNrAWDw4MEtqrPTHuu162v9qFkpKSkCQIYNG2bwSveoqCgBIK+//rre8uzsbBkyZIjMnDnTYJva2loJCAgw+vr49PR0ASCBgYHt/vr4rk7pOIWFhYmHh4eUl5cbtPXZZ58JALG1tZWCggLlB9ODoAVviD58+LD4+/tLTEyMQVlFRYW4u7uLSqUyiEViYqIAkPHjxyvd7R6nrXHy8/OToKAguXHjhkHZxo0bBYB4eHiYfOMxGTpz5oyo1WoJDw83ul+PHTtm8MZnzqX2p3ScOJeUp43B0qVLjZbHxcUJAHFwcBCNRqNb3hWP9ZhgdDJvvvmmAJDp06dLdna25OXlyapVqwSATJ061eALEhMTo/sfclZWlkF9p0+fFjc3N1Gr1bJv3z4pLCyUffv2iVqtFjc3Nzl9+nR7Da1bUTJOEyZMEAAydOhQ+eSTTyQvL0/y8vJk48aN4uTkJCqVSv75z3+25/C6jUuXLolGoxGNRqPb/xkZGbplTU2bNk233uXLlw3Kv/rqK1GpVBIYGChHjhyRgoICSUhIEEdHRxkwYIBcuHChPYbV7SgZJ39/fwEgoaGhcvDgQfn555/lzJkzsnr1arG2tpbevXvL119/3V5D6/JOnz4tHh4eAkDuvfdeGTFihMFHe3DTGOdS+zJHnDiXlJeamioAxMLCQubNmycpKSlSUFAgqampsmjRIrGwsBBbW1tJSkrS264rHusxweiEDh06JBMmTBAXFxext7eX++67TzZt2iQ3b940WDclJUU8PDxk3LhxUlNTY7S+kpISiYqKEl9fX7GxsRFfX1+JioqSkpIScw+lW1MqTlVVVZKQkCCPPfaY+Pn5iY2NjahUKrnrrrskOjpacnNz22tI3Y6fn5/uR9nYp6ndu3eLs7OzzJo1y2SdP/74o8yZM0e8vb3FxsZGBg4cKMuWLZPKykozjqR7UzJOly9fls2bN8uUKVPEx8dHrK2txd7eXu6++25Zvnw5f/daacOGDc3GxlScOJfalznixLlkHtnZ2bJixQoZPXq0uLq6ipWVldjb28uwYcNkyZIlkp+fb7BNVzzWsxARadU1VURERERERCbwJm8iIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwiIiIiIlIMEwwionayZs0aWFhY6D47duzokH7cuHFDrx8DBgxQpN7Vq1d3ivEREVHHYoJBRASgoqICq1evxqhRo+Di4gIbGxv06dMHISEhePrpp/H+++8jNze3TW0sXboUGo0Gs2fPVqjXd0alUkGj0SAjI0PRelesWHHb8b355ptwc3PD0aNHFW1bSUVFRXqJUuNPSkqK3rpNkyqlk7aWSk5OhpubG9566612bZeIyBgmGETU4+Xk5GDYsGF4++238eijjyI5ORnnzp3D0aNH8eKLLyIrKwvR0dGYOXNmm9pxcHCAWq2GnZ2dQj2/c2q1Gp6enorW6ejoeNvxffzxx6isrMSnn36qaNtK6tevn0EClpGRAY1Gg/vvv19vXW1StXz5cgBAaGgoNBoNMjMz27XP+/fvR2VlJRITE9u1XSIiY3p1dAeIiDpaVFQUysrKsGfPHjzxxBN6ZUOGDMHkyZMxfPjwDupd9/LSSy9h69atiIyM7OiumGRlZQW1Wo0bN27olnl6ekKtVhus6+joqPsAgI2NjdH1zO2ZZ55BdnY2Fi5c2O5tExE1xQSDiHq0K1eu4Pjx4wCAKVOmGF1HrVbjiSeeQHJycnt2rVuaP38+5s+f39Hd6HZGjBiBb775pqO7QUQEgJdIEVEP19DQoPvvCxcumFzvtddew759+4yWXb9+HXFxcbjvvvvg4OAAOzs7BAUFITIyEocOHdJro6m0tDT84Q9/gJOTE5ydnTF9+nTk5eWZXL+oqAjPPfcc/Pz8YGNjA09PT0ydOhVHjhwxuc3333+P8PBwuLq6wsHBASNHjsTOnTtNru/h4WHyXoL58+fr3WtQVFRksp7GUlJS9LZrnGSkpaUZlJWUlODJJ5+Eh4cH7OzsMHLkSBw6dKjZ/fLUU0/By8sLKpUKAQEBeO2113D9+vUOvTeisYqKCrzyyisYOnQo7Ozs4OLiggceeAAffPAB6uvr9dZ99tlnDe79OHz4MMLCwuDi4qK3vLnxmbpHpPHHy8vLoK8lJSV4/vnn4e/vD5VKBTc3N0ycONHoHJg4caLBd2Lbtm245557oFKp4O3tjYULF6KqqkrR/UlEnZgQEfVwPj4+AkDCwsKkrKysVdtevHhR7rnnHrG2tpa4uDjJy8uTs2fPyjvvvCPOzs4CQD777DO9bebNmycAJDIyUh5++GH59ttvJS8vT9avXy9WVlbSt29fqaqqMmgrNTVVXFxcxNPTU3bt2iX5+fny5ZdfytixYwWArF271mCbY8eOiZ2dnbi6usr27dulsLBQMjMzZdasWbJgwQIBIH5+fgZjysjIMFr222+/iUajEV9fXwEghYWFBm1qx7d9+3bdst9//100Go1s3LhRAMi8efN0ZbW1tXpl06ZNkwceeED+/e9/S0FBgSQlJYmbm5tYWVlJZmamQXtnz54Vd3d3sbW1lQ0bNsi5c+fkhx9+kMWLF8tDDz0kAASAaDQauXTpkmEQTSgsLNRta2ycjcXGxuq+Q8bk5+dL//79xdHRUbZs2SLnzp2T77//XhYvXiwAZOrUqfL777/r1r9y5YpoNBoJDQ0VABIdHS3jx4+X1NRUKSgokDfeeEMAyLFjx0Sj0ZiMV2xsrMyePVs0Go3eJy8vT9RqtdHvzfHjx8XV1VW8vb0lMTFRCgsLJSMjQ2bOnCkAJCoqSm/9iooKve/Ec889J3/5y18kJydHvvvuO3nqqacEgISHh7d01xNRF8cEg4h6vK1bt+oOJO3s7GTu3Lmyb98+uXr16m23nTJligCQ9evXG5R9/PHHAkD279+vt1x7AO7q6irV1dV6ZTNmzBAA8tFHH+ktr6ysFG9vbwEgJ06c0CurqamRPn36iKWlpWRkZOiWX79+Xfr27SsA5MCBA3rb1NfXy/Dhw40elIr8/8G1sTIRET8/v1YlGFrbt283SDCalgGQ9PR0vbJNmzYJAFmwYIHBdiEhIQJANm3aZFAWHh6uq7O1lEowbt68KcHBwQJAdu/ebVA+d+5cASAvvfSSQVlYWJgAkL59+0pNTY1eWUBAgG4/mYpXbGys0X09Z84cASATJ06UhoYG3fLffvtN+vTpIwDk+PHjetvU19fLgw8+KABky5YtBnVqvxOTJk3SW15XVyeenp4CQIqLiw22I6Luh5dIEVGPt3DhQmzZsgVubm6oqalBYmIiHn/8cbi7u2P8+PF49913cfXqVYPtTp48icOHD8Pa2hrR0dEG5TNnzoSPjw+sra2Ntjt79mw4ODjoLRszZgwA4NSpU3rLt23bhosXLyI0NBRjx47VK1OpVJg/fz4aGhrw7rvv6pbv3bsXFy5cQN++ffHHP/5RbxtLS0vExMSY3ikdKDAw0OBpTab2S2pqKk6ePAkbGxssWLDAoK4lS5Yo0qdhw4bp3dDd9BMXF2dy2wMHDuD06dO6e3maWrp0KQBg8+bNqKysNFpHVFQUVCqV3rK8vDyD/dTUc889h9WrV+st2759O3bv3g1PT0989NFHsLCw0JVt27YNGo0Go0ePRmhoqN52lpaWeOGFFwDceqeLqUv/nnnmGb1/9+rVCyNGjABw63I9Iur+mGAQEQFYvHgxfvnlF+zatQszZ85E7969UVdXh2PHjiEmJgb+/v44ePCg3jZffPEFACAoKAhOTk4GdVpbW+PChQuYNm2a0TYHDx5ssMzNzQ0ADA40tW2NHDnSaF2DBg0CAKSnp+uW/fe//wUA3cFdU0OGDDG6vKO1Zr9oxxgUFGSQrAHKjfHQoUM4deqUyY+xBFOrcewaH8xr3XfffbCxscGNGzfw9ddfG63jTsfh4+Ojd19Gfn4+lixZonsRYtMnXmn7Onr0aKP1aZdrNBqcPn3a6DqtiR8RdU98ihQR0f+xt7fH3LlzMXfuXNTX1yM9PR179uzBzp07cfnyZURERCAnJwd+fn4AgPPnzwPAHb9Pwt3d3WBZr163fpab3vRbXFwMAHj//feRkJBgsJ12/cY3qpeUlDTbv454nGpLGNsv2rNATfdLe43Rz8+v2RvEtQfQxmi/J8ZupgZuPRbX3d0dGo1Gt25TSryzpLa2FhEREbh27RpefPFFTJ06tdV99fb21lv33nvvNVinNfEjou6JCQYRkRFWVlYYN24cxo0bhxUrVmDkyJGorKzE7t278fLLLyvShrG/Zt9OTEwMFi9e3Ko6RaTV7dyOOerUupP9Ys7+dAZ3sk+aWrlyJb777jsMHz4c69atU6BXxinRVyLq2niJFBH1eHFxcfj2229Nlg8aNAgREREAoPdYVu2ZjPLycrP2r3FbIoLBgweb/Pj7++u28fX1bbZ/ZWVlJtuzsrICYPovzpcvX76jcSitLWNsL9rYXbx40Wh5fX09fv31V711lfaf//wHmzZtgoODA/bs2QMbG5s76mvj5ebqKxF1fUwwiKjHi4+Pb/YdCwB0N9g2vlRl8uTJAIDc3Fyjz/ivqanBI488gvj4+Db3UdtWRkaG0XIRwaRJk7BixQrdsrCwMABAdna20W1+/PFHk+25uLgAMH7NvEajwfXr11vWcTPTjjEvLw/V1dUG5c2Nsb1oY5eZmWn0xuhTp06htrYWKpUK48aNU7z90tJS3XtHNm/ejICAAL3yHTt26Padtq+mEm7t969Pnz4IDg5WvK9E1D0wwSAiAvDhhx/iypUrRsuqq6uxf/9+WFhY4LHHHtMtDwkJwZQpU1BXV4etW7cabLdjxw4cOXIEw4cPb3P/FixYALVajRMnTujePN5YYmIikpOT8dBDD+mWzZw5E3379kVpaSn+9a9/6a3f0NCALVu2mGzP2dkZAwcOxLVr15Cbm6tXZuwekI7y4IMPIiQkBLW1tUb7tXnz5g7olb7w8HDcfffduHTpEnbv3m1QvmHDBgDA888/D1dXV0XbbmhowNNPP627hygyMtJgncjISN0ZKe33LCsrC2lpaQZ1bdq0CQDw6quvwtKShxBEZBx/HYiox9O+fXjs2LHYvn07cnJyUFJSgpMnTyI+Ph4jR45EUVERVq9ejZCQEL1td+zYgeDgYLz66qtYt24dfvrpJ+Tk5ODvf/87li1bhlWrVmHUqFEAbp3RKCsrQ01NDQDgypUrKCsrQ319Perr61FWVqZLcpqu6+Ligk8//RQuLi4IDw/Htm3bUFBQgDNnziAuLg5RUVFYsmQJpk+fruubnZ0ddu3aBTs7O8yfPx87d+7E+fPnkZ2djYiICDg7OwOAru2Kigq9sWnv9Zg/fz7S09NRVFSE9957DydPnkT//v0B3Lo0SXsZUnV1tdHx1dTUoLa21uj4qqurbzv28vJy3SVQTdcFgI8++gju7u5YtWoVNm3apNsvzz//fLM3X5uibaPxZVfacdbW1uqtqx2z9gyAdpyNt7WyssK+ffvQr18/3SORCwoKcPr0acTExCAxMRFTp07Fm2++aVCvtr2KigqDcWs1bq9pLNeuXYujR4/C1dUVS5YswZkzZww+jWm/Z66urnj88ceRmJiI8+fPIysrCxEREUhNTcWzzz6r94jjxt9j7b7S9qe57zwRdWMd+hYOIqJOoLS0VLZu3Spz5syRYcOGibOzs1haWoq9vb0EBATIn//8Z0lLSzO5fXV1taxZs0aCg4PFzs5O3Nzc5P7775c9e/bovcSs8YvkGn8KCwv1XurW+NP0ZXXFxcWyePFiGTBggNjY2IharZaHHnpIkpKS9Npq7NSpU/Loo4+Ki4uLqFQqGTp0qKxdu1by8/P12hozZozedg0NDbJu3ToZNGiQWFtbi6+vr6xatUpu3Lihe6ma9lNXV6d72ZyxMRw7dsxoWWxs7G3H3rQtGHlRX0FBgTz55JO6N3oHBQXJ+vXrpa6uTgCIhYVFi78PpvqD/3tzdmOmxmzsBYW//vqrvPzyyxIYGCi2trbi5OQkoaGhEh8fLzdv3mxRvcZemmdsPe0L/wYMGGByLE2/g40VFxdLTEyMDBw4UGxsbKR3794yfvx4SUpKMmhf+2JFY+Nv7jtPRN2XhUg3f/QGERH1WFVVVXB2doarq6vBGRoiIjIPXiJFRERdWlpaGj7//HOjZTk5OQBg9H0NRERkHkwwiIioS0tOTsYLL7yAuro6gzLtE7yM3dxMRETmwQSDiIi6vPz8fMyYMQOpqakoLi7GyZMnERMTg4SEBERERODpp5/u6C4SEfUYvAeDiIi6tOLiYuzatQuHDh1CUVERysvLoVKpcM899yAyMhKRkZF8uzQRUTtigkFERERERIrhJVJERERERKQYJhhERERERKQYJhhERERERKQYJhhERERERKQYJhhERERERKQYJhhERERERKQYJhhERERERKQYJhhERERERKSY/wWlYDS+vvKIqAAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot.capacity_factor(location= place, process= PV, fig_size= (9,5), color= 'orange')\n", - "plot.capacity_factor(location= place, process= WF, fig_size= (9,5), color= 'blue')\n", - "plot.demand_factor(location= place, resource= Power, fig_size= (9,5), color= 'red')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent.\n", - "\n", - "The demand, network, scheduling, and expenditure scales need to be provided. They all default to 0." - ] - }, - { - "cell_type": "code", - "execution_count": 368, - "metadata": {}, - "outputs": [], - "source": [ - "case = Scenario(name= 'case', network= place, network_scale_level= 0, demand_scale_level = 1, scheduling_scale_level= 1, scales= scales, label= 'small scenario')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Formulate MILP**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be formulated using different constraints and objectives.\n", - "\n", - "milp is a pyomo instance, additional constraints can be provided in a bespoke manner" - ] - }, - { - "cell_type": "code", - "execution_count": 369, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "process capex constraint\n", - "process fopex constraint\n", - "process vopex constraint\n", - "process incidental constraint\n", - "location capex constraint\n", - "location fopex constraint\n", - "location vopex constraint\n", - "location incidental constraint\n", - "network capex constraint\n", - "network fopex constraint\n", - "network vopex constraint\n", - "network incidental constraint\n", - "nameplate inventory constraint\n", - "storage facility constraint\n", - "min storage facility constraint\n", - "nameplate production constraint\n", - "production facility constraint\n", - "min production facility constraint\n", - "inventory balance constraint at 0x000001B352BB37F0>\n", - "resource consumption constraint\n", - "resource purchase constraint\n", - "location production constraint\n", - "location discharge constraint\n", - "location consumption constraint\n", - "location purchase constraint\n", - "network production constraint\n", - "network discharge constraint\n", - "network consumption constraint\n", - "network purchase constraint\n", - "demand constraint\n", - "cost objective\n" - ] - } - ], - "source": [ - "milp = formulate(scenario= case, demand = {place: {Power: 200}}, constraints={Constraints.cost, Constraints.inventory, Constraints.production, Constraints.resource_balance}, \\\n", - " objective= Objective.cost)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Solve**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To solve the model, the solve requires a scenario and a modeling instance to be provided. \n", - "\n", - "Also a solver needs to be chosen." - ] - }, - { - "cell_type": "code", - "execution_count": 370, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 108 rows, 118 columns and 242 nonzeros\n", - "Model fingerprint: 0x39d31306\n", - "Variable types: 109 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [6e-01, 1e+03]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [6e+01, 2e+02]\n", - "Presolve removed 108 rows and 118 columns\n", - "Presolve time: 0.00s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.01 seconds (0.00 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 265000 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.650000000000e+05, best bound 2.650000000000e+05, gap 0.0000%\n" - ] - } - ], - "source": [ - "results = solve(scenario = case, instance= milp, solver= 'gurobi', name=f\"MILP\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Results**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be summarized as shown below:" - ] - }, - { - "cell_type": "code", - "execution_count": 371, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SUMMARY:\n", - " number of constraints: 108\n", - " number of variables: 118\n", - " number of binary variables: 9\n", - " number of integer variables: 9\n", - " number of continuous variables: 100\n" - ] - } - ], - "source": [ - "results.model_summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Plot results*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some handy plotting functions such as schedule can plot the production, consumption, sales, inventory schedules" - ] - }, - { - "cell_type": "code", - "execution_count": 372, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot.schedule(results= results, y_axis= 'P', component= 'PV', location = 'place', fig_size= (9,5), color = 'orange')\n", - "plot.schedule(results= results, y_axis= 'P', component= 'WF', location = 'place', fig_size= (9,5), color = 'blue')\n", - "plot.schedule(results= results, y_axis= 'P', component= 'LiI', location = 'place', fig_size= (9,5), color = 'green')\n", - "plot.schedule(results= results, y_axis= 'P', component= 'LiI_discharge', location = 'place', fig_size= (9,5), color = 'green')\n", - "plot.schedule(results= results, y_axis= 'Inv', component= 'LiI_Power_stored', location = 'place', fig_size= (9,5), color = 'green')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All inputs are stored in results.component\n", - "\n", - "All outputs are stored in results.output\n", - "\n", - "Values can be accessed as shown below" - ] - }, - { - "cell_type": "code", - "execution_count": 373, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'LiI', 0): 1.0,\n", - " ('place', 'PV', 0): 1.0,\n", - " ('place', 'LiI_discharge', 0): 1.0,\n", - " ('place', 'WF', 0): 1.0}" - ] - }, - "execution_count": 373, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 374, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'LiI', 0): 0.0,\n", - " ('place', 'PV', 0): 100.0,\n", - " ('place', 'LiI_discharge', 0): 100.0,\n", - " ('place', 'WF', 0): 91.81818181818181}" - ] - }, - "execution_count": 374, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['Cap_P']" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/GUI/input.xlsx b/examples/GUI/input.xlsx deleted file mode 100644 index f38f711d85265c92f51f4b6d9c5b0c5f8b988d56..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 24754 zcmeHvWo%qsvTYk;W{%l0Gso=2%*@Qp%p5bu%*@OTF*7qW#0)XU@SJ=zFEg3BSM#Lz z<4QLzbsx3mTIy3>wQH~1T}xUF1QZ1T27mwn00aObQk2t3AOOG)3;;j|Kme=pSy|c} zSlVmJyI338Y0x-ZnB!-I0+VF|fM5Ur&*Oiw2SyZzExYItT9pnz@V6@l`-mziAhLe5 zG5?&2x6ub(C2T(2B7OJWa)eKzHwPm328puD$rT=uF zr0oT_tH_yvZ*Hk#TuoFcapu8oc|~(h9=JH`k}i$tyBB<7G~yX3#{JIAu?2rs#EyXA zZ^enlkOPt>4y4dVkW_gy+CiGPkbS0#GMB9zZIyAXSj5uCnz`g$~kT`rLDFx2@}hYl!LpL#LCRhV-$CKUQE!h=81sKXv@ z*Yrt%*i>9c27o0K#tAwO_a0)5Fh$>cI<(a$mxTQq2Gj?}oXce1-0JP3&iE+>6IwaX z*+%@u(1FKmw!XZ80HpsZkLwiZ2*14sr}%4{Lciv*maT!g9WBj|*FX9Dzc^|C;nqu| zC8WCPU;@sB9|H$&XIG;Tc*UG}gj)#YJ-tO%;OoM3h_F^WNU;&*G5tV(zfBTfCgtiu5CA|65&(dI^^CJQt&^3l znXZ+U*^fe3s-R(&!;0deW%2^DmF9a7#*D)Qu*h?iH>f^2mD}}=QGPSBlrJJb>Xl(8 zJf&ZwYQRBB47NPqzmJh(vfY_D+67y(2RGhzKhvx zkbfO1%d6@BI^l?UyMi{X%@i;Z65JkL9V#IgOF5-&)5|{9HR5{#CU$U{N6s#3O|1B7 zApgC^@Z~7jv?3m&t|ugz8kMmKgW?UW$u2~fNI3BXI^|L@m#Um5@Vxf(l9S+IG9139 zvBa(;V74wl%qoF;`z|k_mStf2J+>$JkgT)W;Pb_7!=Jtk1GD$F~uyms6-zpA|PXGKhct( z*6)2TyKsSh0@vG?Ei&*`*Aw0TzMkhd;@rw|=C^~{x^C!X?Y(}EgJX@Ny89IVBrMW-l z38s20T@epvtw8fr7jTo{-Y1{U2Xcm~E-{#Kc=!IAV{CzYr?`@4I6QKdPNI3~~}BzBvusbj>&s5;|Zb z;7f2K;3r|KFi9MLx$+qedNltgNGjzM0YE73fPUDJ}z`Ym1PVNG#XFFU~KMa#UG!JE_~3 zsN8Xk)xuSP7C7IeFSm*2hyF#o0D*>&{+rnlsnGpK&MKSEKtuUWEO!n>B~x1Nm!2?L zGdj$j)qyR18d!WE6fLT-xL{7Z92HrMj-BJlSDi{;sL!$VwPK+CLi?dX3bfAlZ_)eK zcCYpewx%|AxJRRhw__Hm?(NcFs@A(6g?Rcwluoqe?5tu^@LqHJUrXaGG8ZK2>v|vq z3IJdNAb?)8{;%rzkGcQ%N(uD3(|!Hl|J{$)*kRLdIs}1R|7X9+cHCu?80mLLa!`x) zU%??<9`WZu!XM7pl~{Yr2^?5RusTOF-691sPj0k|!?`D9^q7oHQY#_qm;`bt$JQdo zoz&1iqc~r4-8GW`Lnl7xP5^5S3MJyR5o9)W*?@cbR_eGy2+duw)~98R2RoxNqsxI zuW>q4Y>C&=bn?)Fy(LaMpvJ8QBCc?IIx-mRbvj!C^P(P{MqVAcZSZzsIc|8o9dNfm zF_HK$uUzS0!>qT4Xch7`#KvF%0F2l8`CDO zqRt=_0V2`^A$ysp5^4@^jgDcEigc0|`?U(|ZF&&qxxzBFNE@5yURRMuiQH-YyV!|S z>T~2>Ab4!0`3(ElBmy72N>}J@YY7}ADO74u(vk$FY9jISg^KE%^+#Ag7CMB8>Ny7Q zo2WAIeEWE+3~L2d1WIpR@;-fyT<}tmh=TU~X#x4ud?7K>Az}a(l;k4sRGW642|;PqNZVDi)b7s6;wToxHvV&nhW4(qSqJHc)Cejl|U> zNz8`42sJb#pnBf5o!V6Smu2BRt+Fw2@kDko zeV_aRi^h)%>!B(%VZo`}oXM8ai_<9~6gA?50ndAwy_X5|WV?gPvLTsLVVQuK3W7_+ zX+uv>8^;-?D!qXRe}yniFg7|{%{&y^*o8R>?N8sAX&rG(ZnAJT>tfZQ-N2IIRUAO7 zR3MojzwDLzRwxlXzVX7uL-2*HaI(R1iclP#@RE}pgQ~6=adLSaxyxtLruHqXtcl&( ze>05|fPn<>J0M$B3II|Pvi{D}g%B-QgX>}`8WiAXgW`YT42sb_FBr0(z=G~k@@bD* zRGGuzJdvTDOy?wa!xDRw3@mai*`#KxKBDDb2py`FYgdOpz{KPzAd~jdk{jm9gc!jd z$z9>XV_mc6;^pVAWFIc7aJx^u{hhJUPJSkB69W$gz@CXs7=ne@`3>pdI zgi$QXg>di?Q97ASN)IEkBgqACFjtKp-659Wmv$DIcL$-WU`;2jITUs$;p(#~NfGAP zZYSZN_>qf_c68Nh;Y^2$-pi{$m`bODcd0!r?6QfY6FP}~7PmBawc6#fozf+rli5;H zkGciqh&u8?${x;{y=VkLr(d_8|GIqa$eI@%zLK}v*Tv<(SUwnjE+5faRw;BSz3ZeW z9QYl`AOtv>QN;uTN5f1OX6rb1ugiyF{gstm$M^C@hKYOWZj# z=U_yP$g_NbR;GExHH|Y^rmnE1m~eyff;`qj#K<^o$P6CPe6w{Mm9p-nSv5vM0r4uw z>rB}!=*c?`8${E~8fSLIZv3SJl*cCCNK%)_Ce!4jbJP#q0rcBzGTW$|Tx|m|-<3pV zt;@oSPe2F1tz6YT#pcIee6~M%ArZ%rgLT^ky9)^6o|9$8Qklduf8beIg|O=oGvbih z-LaD8q?yJSe`F0(^i=02dA5y<_moE)?6!R%4hj8AsWL+8gX~z&3F{z<+f|x~*qjJ| z?}BJecV>DPDSJt3WGSx`LV!EJt`1m!X`!h#%d0=VLw=8(8R3K07#i7sUKI$e`skjd zd+G&0q?}EK@{^E8KAoeRCGU!b7alU7#n#LElNAyIht;T+te1fKzyE zHAFFz#Ab$Q7s)!g=P@EqAp0La5^;I+fA-5YEy{5DZuq#KXnxKObOu}QnOd%tc4jjM zZp0cmz-H{ZBR8co>mKQ(93~n44Wf8$gTj{8g0pNF{r}#;|A_o3rs(H0dv$8XYv1y} z$PdQf%PZA7GM!IsW|TtpqWNupv1{wk@|s_7w^V$#R%NG3E{jqI8rJ#T;RO~c1kbUU z2|F)XSpOv#U8hGaUv!cN`thotbAXN^zMj}Zei*uSAM8We2Tu%(IL)MFyHM|mWZ?NZ zM;8oCMLQ7*DTh}7BvBI)>efR8WA;&#uL9MO+hmxZqC?Q|Ae!0(vx-IOxaG{LUCiJS zMzKr@yyQa1QjMcm{bJ-R<}|*<9s{Zn!Yke2dxfhX4HhXR&|zoV2q6uO3pPVGPczIP zZz)O16BPv&>cMx;qplq8yR9)~9Z59iz0d=Qvi7hx-=F)wRv{#j@zOisqYmWvtlcYT zQ}?Q|Z=O>|ALx@lztWg#mnhCY6FTu~m8g*n5-AyWf*9im_(-8VZyZMjg3%ISDdFeT z4QtNJrz^4ZG8aa{3emx{u;#K5J>#vb@96X1qZcJ+Oa8Kyq+UMy@6PF4H%IE=vk~4u zerBnBe0#{^)yfFd`JVH8J5Gje;`jG2#WI7G&6dY3bx$L`)%Di-vSe!xQkthmD|E(c zbf>*VISjJ^;B;Xqr{~O*gR%ZHG7AlDug9Bmszfzwz5OnFdR;TUxJM6VfrwI&H?p@V zLFhwiste>5{?0QOKznJDonRe;8*2C^(UGXgV?HoNS}k zvV}-zraR<(Q;N^tz#*<1u*9Q@i;_slu@<@slF?bH@$sT`&8%IjAe1e=MWO$PnF%g$zv0b}dVmo0q_A#T7gC5d^mFTO=e=?N_`> z($NLNvR$GSb5T`C*ifP8wt|A&bWhhS`-`czL|36i=&tB^t#;{4uGFxFM55_Ltv|fmS&y8OUS$)AIP5K5G-Blq||DUS4?&y@G748VhF-VlJU;34N$?+#2eEHFBn&qUEu>z)@o(UflZW+u%qV%r!% z<6md$)U<@E-*pgyyawaP(-uuWE)xY?ax5z+uKbQ=S2gUEfg9irEK4M^HP{OyH33oG z7)r*r(X&iE4S{48fJCC*C{GS6s&H4q?em;Z7*bEikQ=9=9juHcd*iIzGbmpFNSQgy zf=`>y<@S93^(wG~%j?_0eYaM1QyqnvB{;F1-05tj*2~iq`kGe9^ZDTg%hwswi>{uI z$NS-gj+YDe>&mSaRN8ir%ge7Z=<6QW`%;lOOUu|eiRT2tRp;fKdS@h|IzDjUFMvLz z_0aM5M1Mp)a4b9>9st%L{d&m#P1qHe)XV7^+{}xJ@6WnrvnOR8}2)< zM$h|bG24TwrceyV&s>fR;nJLTOXAT3J)R_R1OlI({6x^*BNsXNx%jZ9tLax7AnUuH z4Bs`r*)dIyB@KEo7{jS*4NGdnL$~*>3^iEdtY4@b4QAwEzbcAbYQd1R59`BlYv8t1 zp3q?&-fx;zdZ!(Sb1Yg)IWVShovICF5M69GM{b({L1}P%5o=LtWM$*)j7AoWxSo5D z$-gS9!Md9&@0u0?C$Yf{yo974q?!4>V)UBjBv)2gOlTWgK$ zq#g9FyXjl}n}(ZF1Q|15PMrVZor-yqayb^f#xRrAx>l!cV{@E|CHifza-JK??K z!PTUXPD8j(Kz3knBGoRw$Fir88SL}>)Ii?iQJJ|Kr>}gmjxM#Eb5XF>h3c{a&~!;F4bDK%SaG=I{c=$h1bagv~@BJoUU+LrkS+K z6lm<-T{3eb)k-WO^|lSk2U3Qm$O#x#K7-XSsUhOm^3IGTnR>Z_4wR@F6J_5eubd;p zrzMS=N}H35px;E_JCm!2^CgJpAEg#W#E#w9LoKLHY7Hxg8cPy% zjbSWG0+QCHWyFuPms@PMaWQo;DQ*+Ur6vrsuL-A{qVq-Hq~aKj|E|*4oD?|2Al0PX zgk{Tk7!HqUCh(55(T9XYZlZ_7^1jX#qJe^t$?P8a0Hb@}8LWwLMh!h%uF>(WNV?^n zlTQ3w^y)zVSa$Uo$ssWM&xvlaJ=9v%UU9HYli1l7luF(R+^XBjA1U!tY!K`@2Aml> z2~7f4F=Wyu@q9Mr%B`P^d)IMFi59WD+VH|7+d$a&SrBuTm1!x#BZ9p{{cI0M>3vcv zQ9tkAJ8fwX8PB(dOtHmA5VD6#J7y>9r*|<2myb+JQQ~1pEhcwn9no+m7K7ZhNv*Qr z%?{atnd}+m_fj0r*vEVg<+1^ky)-~q=JBvnt6X`;ULJ$bx}_GVIXZp)!`%6k!af8!_Z3WtRc9Q52vfO z7i)p+fi$mG0wLMM6xKlOd+pGb7?p5{^;R}g>K9LPbMRHs1?pH#oel(fKiMqA`VxOf z48`H6O7%kr3iu7}&ob(8(?<_L>N*nwjwTiT^E9X1yVRrph@qk4S|jLnn-5#<>Wl6+ zXNdS|-|L1lRV*A${SE85$Uxg9b0&`G*!?xj)XrdCS1Tv6InUb&Vd0i$Ev1iGpz3TJ z)F4cW4LoyH3c=$$vyPj0k@_t^?!8!Po;nZ#?;l3#B12;0GUIGe^&Mhdu+q_|#vN3*}#L{0_FOMp3+>5kQ zjj5Gywcb-_@up>&-VpI)A$uo>SqU+LL%Uw|9D1`Zl%=QzQJpoDnyga5WVT~uE`HY8 zcu=nTCaw@@o& zQct4s@Nx$eT0p`<^$wexs1py`r#&O0kDhO35fDGPqqym51~Cx_;51U=Np8zhs^zGk z#YtF0@M}QD!;5+;B(?ZL!7G}md+~u&d_>lc?rTC@!iRo66mY;4AU>ilFWkWDPE!#f zMz^SdOUo{~(I#cvStAeLo~#ks4zGDQYiCbjzT4pqW0;_v!cgsH$YE#{@N-{RL@4$x zKPB&;#VczFsOP~5$Bh~z;4hK@lCvLa6SJ!j)$0_6W}|a&vC}G{yjwLk%bK2Q+^{b} zMWwOmNB0A4?uZ9*u$X8K2`xwj&uAJ>t)V~$BsoBS2tgRYzj1!*+>D%bJw`kRC41qZ zG95yGuFwSka^@miFdw8CXRHwkw|WajB30SkNH8VCjz@eIi?-v+-HEq4gha>1XKY-v z-(`C({tl?dcr5Qi!$`TovpGAh^`k$O;#6DZZNV^T#x8v6h8rXZhqA{OxCKYh>mStS zc{)e#wZq%Wbb2;IZvsf~zF!}%>UyO4udQf}wtf91u=Y;1tj*Z9PPL-OAMZiwgP_g9d`g(q4znq-19RyYCSH+=Zn&bVvahHNWP=&Pf7?}9{+FkwE z#)j`B!62je^K>OfytQr!;5E78l!BQ#TkRbIKpS+P3a-&gv-FRMu!pdD^~pL z#H}%`I3BpMZRPEC@2pzboI3Jp8HTU1 zre1^uM~3%4BnKWJdwuNF((?M*xA=W=;jmy3>wNVs@2j5)|MKyV!;`=Dw*NX!`PJe6 zd6x1ivNNQM4n^P=Ow+U{gGfq>2KPrPqe55t%Md+b zbbIzJRz*M-MRD&fiUhmR4c>=hO_Ua!T3l*@*V0PXol)(0DEYB-$*MdbM|j|ITIO_& z315zX5@Czd=FS#o8xT0T^w#A$a=J-3^MC`*w-_0|x_Lbu{?{l&?x8~N`cFLYvq|@N z5BxYq;Xm_#^jmNv;s}%uA=VNlm?wDx2xu;6--sGF5Z`}4Sop*n(XF>er{Sf7ejVzs z_YS(u@*{yi6Mr(5dm49rMW!+*tf$B)wDN(8mQk_W;LrrsEjB~NSzdD;v_Y#r>qMLD zQaQn5eQ|?pS-m9jo6Th@V@HV^mfZ@Fl{7gVFz8*n+DyrL^@NO;Y1TgPGxEpMA1)Xq zj@D+&7UmjII2r!*>H?vgM5hOA$grc4RXeAD8w5;QkkS8<3x4)t{@DdSKV3lTFYCLj z&Wk_){t2LqazU8=p>6#8^L-2Zt;5)T`kCX{{mQzX*6sZk5a$Ny1OO=$YJz77hqX=A z1%T;|IgkfT0|3cQ1R%z`lwYQH;=+Fc(%jtEsyU_3#Mf&@YE6gV01@;z1|HLHIMjNN)ur%-LZBpo|I-v;G7O=j({k$PD8TY+hIn z6Ad0&t#_yWHl3)HHtkcUOcEUnQ`%S29AITCUjW}Wm9#M*M(0GbckjZNs+)N0bfA?* z|4(@rssK2?E=Xl2ojM^x1aJD$@IJZ%witj!nVdbl)as`L$7GS5XaGkTPA70UJqtgg zc%?TEwqHGAVpcfBoONk9aVJCsQym~I{P~@?+Lz}*SU#+m(m}na&8>ANYS_-ar?R6D zBG0Bibaixf@9$kA6k_nQJ4*M@B%FsIIH1=eUe>mxqVeo9-ji!#uXf*I19^9K@`743zO29YCH)8pdxy^ z=wHV5Kx04wu+U*Rw1)mX4;k_0NrgGSt+dtWBom+Dl`E{(9;Y$W>zeB5edqc7U(V}Z z0*9I1ThG`52gQDfEvDVztjdqy-K7g*XM^`7!M7Luc1ocL8G@zBCcaKJ)p_{&`Cn8S zK7z5|_}wAC@CBAcrYW7NxltdlqAY?soJZV$9OCJurB_?#y((ESBtc00ocNhRoNbn} zb-TelkP#7ERK_h(sVXVXN?$MDusWE-c6tp(Vu1TeumvPEa<-Hf*+*sUR#h>Hq(cRWR!;}wP1CcS z&Ox}-R%z+Xu=z*f)!ZE;^#KtVpuSJN(~x5${RtK6{5`|BY5mGz6!3?ZgI9qbIBhd| z6|!g=q-VLqmKGQ@J>6USV4t}Q#`)D`D_p)M3eQAV&Iyh2&u0_~?X`=gQ@mRd9JJDs zE(LbgOD2kv_R29(AA({qOrawn$bR@<-sO=41ER&qrWh53{t$*>WVH=s;twR_lUbJ% zhZjKdmNeYVLnQ{?zSQ#c+Vy2yE6V~pj+ZidB~GrH&jNO9d1u1rlZ|e#%gopBa?wB< zc#j_(20p*L-9bsbp1x6(Vey(YAeqH$pYVF$!qWX{acFKbS?%&DJ9JcjNxx-B-BXS- zo!WHNPnEgoALimFXEm8gn}>Hhicla$Q4K4Qgxx{ThnNo}KdhW#(Yh}qacuQfko@~C z=khvf;gMe5t^fq*{ZTkgNXixVu$wr=b@WqbPu;3aO$x8s*X6i2+CEJgc}!$z`K@*i zp_wn35NMRxvxS2S7)N!S|eJ8ppzwhIxR;4pFG9gzwu zKVd=?p8BT^f8f8qfgnzV$6alGg#6A%ce1)uZ{ccOfR;7X({olzj_oqo;MMCqn61@8 zT>;*l%Z)FZKEM1mm;c!vQK`|JP@*h`yR>n~mi(Y+K7N!Zu>uZ+haBh-qzPE)Hu%tl zFi9pj=nhLXyL4o+KC3}Myf~wGxj;gvR^M`DCJr<8izw>Vm9cTfq_*5a$YBC$#0u56 zj%}{Y$4h$>Sv(Df{9EOWNh{IH3}IfWo}>K;d^q^@2G2a|S#&x+H|e)8keGLxi6aiA zw6O^ysf67YD;q-Cy&~LXJvY8bN5#q6eM8@ULelQ?Ypg541Ge5&Zz+JWe|bweE`4i; zWuu1nroy4Pan(YZ)d7r)*jTOEWZOSVg5l9cw}$-&QLkX!#llF5?aP`u5eCVW-Uq0# z(;k_6bgOhEQ%rwukSW1~7BV&lk?rplpZXkN8&+7>Zj09m7J%>;CvoRQ2^Ra&2*#Hj z<$}Qs~`=1Hx3Toj$$h&+$33as4c3k!PY4^*b^4iBFK#9KR4n<6%#sK(SP?FJrM zT7}t#QaH+_XMIxVUjh zSypC?_S_q54D45-4|TR5?V0xxyh&S;>I*H1cFh5?j7YPC81|%{FCf}jk6Na0TyaQ< zaWkXXj~NL(98L*4=NcknU6W%MTB6S!y^LVI0REP3?8$vkYl9MtKvwf`OgY<3L;aX<=W2@12nca2NKIJ(Sn1;$rGH>Fl8= zN3^Fwu66%ue^`=Gh*RS`#7{<#jGv^PLO|9IgC$OMcIIMRh+Ehc*=2+b^K1|4t4(*Q z7)b^92C3k44vwAzwC2Sz0u0SAH!IOtrb9)QOMTVdn!_%Aal@~`LK99@N8_jdb#eBAJ%H^ ztQ=gyi*hxxpDWK$WGT8zWDnf-!xV!Vkx;8T_VSan%33Po%f9IIBw2{c23zzjeCypg zlAJ|ytkR*Cmq+Y!Bgj zn$zgdi6&+Rcdf?gX@^cV4vpKCCpAmcsO!@2Eo$bKFDDj;Jti4FY=yT-zkp$bZ>oO= zv+0e&C7uX3-f>W!2 z0INkTU240tuJ*;7d2Ws)2ff8m`paD;c3HeYSu=Y?V%T7Xdv^F)r#7bWwSo)(voU^=Pld+U-4@V< zc39pz;~Qm;3_&9C_=%3F#786#W9USg*)r!@$k1IP2Ig!V>66$g!8vX90*+*dYOet* zkXEx(kIV~f&uk@lE~}v zvEF(gV7)tia8g5wmk5+zj*mIpHobH!hpu)MWFBd$P?*$p{q?~{(P%7CGCdCklwYGQMe?494@Rmq!&YWJXK`dOFb)g{Gs18Z(_t%$J{gW%Edcg5b= zufy64hzoI%S@^z>LDqwJrOmfA=^RgNfHxw)`;&Xhu#QR;13x7zQyi~JOK9hiHVQ2?Nw#xJGI)FmB{CHH_Kf3Yd8ICiRbFSVPl@fT74enSe}t-*CeE6<*?(qe!Hs%w%b;m#>Vb($Ir`g zbq==aJa``n56$SYtzI|Gh%7ncKz1LlmNCM}_fCdz)>eXB`D921{0idO9=;^aLtV{t zrgH_4LxRfOXuEco7Mn$@NAfnIZd^SRdvZ)HaTwDQc?{F1A;XL_?`icTN72}rI+NZ) zaw;>@f~RD1DYe;jD#-*rdEgkfr{JJ1bsjdP9;tI4e1nQX_yz;|n!R+h9P$Kpeg)|6^Y=WL5ppng`(1uH7H&@ynS+X zlK}M3$jRs9n!O>5?StzK3<&RoiYb(2RQG|CoZk}nB2kggatf@kvRqugBjsLLM<#fT zekpr?51U5)t>0*y5V-}*ZO+RmpuqyqV21n~w=1wx9NY)zBVSys>#nhzMx|l=T zeY=dVi!bZNaaflmHTi9(2P$?}+=b!m*K;sVE5g_4H4<0af!uu5VZt9s`o*Nh_Pg;F zq;8d362{PID#%(zP7FMjH#bV1!U)B9Ahe!Uox@k}cYFyFXw6NIa?rnCtP!fvBphKE zc%$~kXO}WDehXj8?iTZJ*SJswI&<@|52g05I z7h2F~WQ04~SJM3dgH|*Aq1AtA^&eXOhgScg)qiO9A6or~R{x>Ze`xg|TK$Js|Dn}? zX!Rdj{g<}O|NCh*;~!f6hgScg)qiO9A6or~R{x>Ze`xg|TK$Js|Dn}?X!Rdj{fAcn zq1AuU>N5HnjojCB?4{Qy>g)4W=*QZ?*3QcE^~c{ouRkWP^hev^y69j)H*kWT3R`1p zVG4^MYUt^^K=_N6`Av^0>ZM)WLNHp=PutA`si}LhYWVZvDCBs3c3i@koX%a>Xqi#6 zBLo}hbinaYFdnXoG;U$12}960c&2!yHL%Qj!Nn!TL%3_sbNlS7IVC1@;+S)=i1AHT zkLyZJOE%Fr8yk?Kp&r`|If7c>ooFHN@5saK-*3dRq^J{BKK+z-_e+@l_^E-%3x~*2>zBR?o`T;Kwb!>PY@k$9ny~!=i^JyI-YwZiOHDc9?^=6|*g3 zbCEJFGm(5R5jck1Epqzc7immhaQ7#pfT45EQL}*WPcC-p7NhUI!8^?leLsj~ailoq`WtG{ncP>;@Lzoht zMQN&25*A(w)pRCTd zA&*&~PTS%zE%zmDUQOsU3jsH68;n+M_$H=>{>3Wd1Gwzt^47gX+6~f%4}4;+gXGZi z-Hm14$9po|@a_e#7}O*Z{rIRsp|lP2cDR*i1dWIn1S1@JTqG&))Y{tR2Qem^p0liI@?_{SscwIX&y`@Fo!;IRoT}ztX3eb*&(d_kcYXfw2 zA{y;x0MCW*NhZO2hRH9IbT)9TJ%I!Gs_FQ!b@0T!zC|*pLtAy(45q_WI{DnY5^t%uK?M&zIfWHq#{sJT; z{%-((jY$3u`1^?AFF;C?{|4~az~S$JzaN480;GAJ-+T49I!{s;5F)pu#JH?Pan5B(ry0M8o$Kuzt(yZ-|_tRPtc diff --git a/examples/IPCE/ProjectCode_EnergyEfficiency.ipynb b/examples/IPCE/ProjectCode_EnergyEfficiency.ipynb deleted file mode 100644 index 079ad049..00000000 --- a/examples/IPCE/ProjectCode_EnergyEfficiency.ipynb +++ /dev/null @@ -1,312 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "f4e7d0fc", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "69913c07", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "26c05ddf", - "metadata": {}, - "outputs": [], - "source": [ - "scales=TemporalScale(discretization_list=[1]) " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "8d2abe06", - "metadata": {}, - "outputs": [], - "source": [ - "Biomass= Resource(name='Biomass', price=36.11, cons_max= 10**10, basis='GJ', label='Biomass') #table 2\n", - "\n", - "GridPower = Resource(name='GridPower', cons_max = 10**10, price=9.72, basis='GJ', label='Grid Electricity')\n", - "\n", - "NG = Resource(name='NG', price= 8.89, cons_max= 10*10, basis='GJ', label='Natural gas')\n", - "Power=Resource(name='Power', basis='kW',label='Electrical Power')\n", - "Heat=Resource(name='Heat', basis='kW',label='Heat Power')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons', label='Carbon dioxide')\n", - "\n", - "Solar = Resource(name = 'Solar', cons_max=10**10, basis ='GJ', label ='Solar energy') \n", - "Wind = Resource(name = 'Wind', cons_max=10**10, basis ='GJ', label ='Wind energy')\n", - "\n", - "Lighting = Resource(name='Lighting', demand=True, basis='kW',label='Lighting')\n", - "Refrigeration = Resource(name='Refrigeration', demand=True, basis='kW',label='Refrigeration') \n", - "Heating = Resource(name='Heating', demand=True, basis='kW',label='Heating')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "79b7479d", - "metadata": {}, - "outputs": [], - "source": [ - "ST= Process(name='BM_ST', conversion={Biomass: -1, Power: 277.78*0.68, CO2_Vent:100},capex=250, fopex=15,\n", - " prod_min=100, prod_max=1000000, label='Biomass ST', basis='PJ') #table 3 \n", - "\n", - "\n", - "CHP= Process(name='NG_CHP', conversion={NG: -1, Power: 277.78*0.44, CO2_Vent: 56, Heat: 277.78*0.28},\n", - " capex=500, fopex=15, prod_max=1000000, prod_min=800, label='Natural Gas CHP', basis='PJ')\n", - "\n", - "\n", - "PV= Process(name='PV', conversion={Solar: -1, Power: 277.78*0.09}, capex=2000, fopex = 500, \n", - " prod_max=300, prod_min=10, label='Solar PV', basis='kW')\n", - "\n", - "\n", - "WF= Process(name='WF',conversion={Wind: -1, Power: 277.78*0.22}, capex=2000, fopex=1200,\n", - " prod_max=500, prod_min=10, label='Wind Farm', basis='kW') \n", - "\n", - "\n", - "Grid = Process(name = 'Grid', conversion = {GridPower:-1, Power:277.78, CO2_Vent:90}, \n", - " basis = 'PJ', label = 'Grid Electricity', prod_max = 1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "4c848748", - "metadata": {}, - "outputs": [], - "source": [ - "Refrigerator = Process(name = 'Refrigerator', conversion = {Power:-1, Refrigeration:1*3}, capex = 70, vopex = 4, \n", - " basis = 'kW', label = 'Refrigerator', prod_max = 1000)\n", - "\n", - "LED = Process(name = 'LED', conversion = {Power:-1, Lighting:1*0.8}, capex = 10, vopex = 1, \n", - " basis = 'kW', label = 'LED', prod_max = 1000)\n", - "\n", - "Heater = Process(name = 'Heater', conversion = {Heat:-1, Heating:1*0.85}, capex = 30, vopex = 3, \n", - " basis = 'kW', label = 'Heater', prod_max = 1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "3d961b80", - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name = 'place', processes = {ST, CHP, PV, WF, Grid, Refrigerator, LED, Heater}, \n", - " scales = scales, label = 'College Station')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "24221c99", - "metadata": {}, - "outputs": [], - "source": [ - "scenario= Scenario(name='scenario', network=place, \n", - " demand= {place:{Heating:100, Lighting:200, Refrigeration:1000}},\n", - " network_scale_level=0,scheduling_scale_level=0, scales=scales, \n", - " label='scenario', demand_scale_level = 0)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "e705312e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n" - ] - } - ], - "source": [ - "lp=formulate(scenario=scenario, constraints=\n", - " {\n", - " Constraints.COST,\n", - " Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE,\n", - " Constraints.INVENTORY,\n", - " Constraints.NETWORK,\n", - " Constraints.DEMAND})" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "b400feeb", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "C : Resource Consumption\n", - " Size=5, Index=C_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : None : None : False : True : NonNegativeReals\n" - ] - } - ], - "source": [ - "lp.C.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2ba52357", - "metadata": {}, - "outputs": [], - "source": [ - "from pyomo.environ import Objective\n", - "\n", - "lp.objective = Objective(expr = sum(lp.C['place', resource_, 0] for resource_ in lp.resources_purch))" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "c8bf390b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 148 rows, 143 columns and 291 nonzeros\n", - "Model fingerprint: 0xd615be88\n", - "Variable types: 135 continuous, 8 integer (8 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-01, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+02, 1e+10]\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 148 rows and 143 columns\n", - "Presolve time: 0.00s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.01 seconds (0.00 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 2.94704 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.947035247247e+00, best bound 2.947035247247e+00, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results=solve(scenario= scenario, instance=lp, solver='gurobi', name='lp')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "99ac9d0a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "C : Resource Consumption\n", - " Size=5, Index=C_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "lp.C.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "bdf53815", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/IPCE/ProjectCode_ReduceCost.ipynb b/examples/IPCE/ProjectCode_ReduceCost.ipynb deleted file mode 100644 index 8aef5254..00000000 --- a/examples/IPCE/ProjectCode_ReduceCost.ipynb +++ /dev/null @@ -1,1398 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "afb9ec88", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "961ef9ef", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve" - ] - }, - { - "cell_type": "markdown", - "id": "c593b5f8", - "metadata": {}, - "source": [ - "Scales" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "12c1143b", - "metadata": {}, - "outputs": [], - "source": [ - "scales=TemporalScale(discretization_list=[1]) " - ] - }, - { - "cell_type": "markdown", - "id": "7a54554f", - "metadata": {}, - "source": [ - "Resources" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "a0473e21", - "metadata": {}, - "outputs": [], - "source": [ - "Biomass= Resource(name='Biomass', price=36.11, cons_max= 10**10, basis='GJ', label='Biomass') #table 2\n", - "\n", - "GridPower = Resource(name='GridPower', cons_max = 10**10, price=9.72, basis='GJ', label='Grid Electricity')\n", - "\n", - "NG = Resource(name='NG', price= 8.89, cons_max= 10*10, basis='GJ', label='Natural gas')\n", - "Power=Resource(name='Power', basis='kW',label='Electrical Power')\n", - "Heat=Resource(name='Heat', basis='kW',label='Heat Power')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons', label='Carbon dioxide')\n", - "\n", - "Solar = Resource(name = 'Solar', cons_max=10**10, basis ='GJ', label ='Solar energy') \n", - "Wind = Resource(name = 'Wind', cons_max=10**10, basis ='GJ', label ='Wind energy')\n", - "\n", - "Lighting = Resource(name='Lighting', demand=True, basis='kW',label='Lighting')\n", - "Refrigeration = Resource(name='Refrigeration', demand=True, basis='kW',label='Refrigeration') \n", - "Heating = Resource(name='Heating', demand=True, basis='kW',label='Heating')\n" - ] - }, - { - "cell_type": "markdown", - "id": "9db1df3f", - "metadata": {}, - "source": [ - "Processes" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "f584e041", - "metadata": {}, - "outputs": [], - "source": [ - "ST= Process(name='BM_ST', conversion={Biomass: -1, Power: 277.78*0.68, CO2_Vent:100},capex=250, fopex=15,\n", - " prod_min=100, prod_max=1000000, label='Biomass ST', basis='PJ') #table 3 \n", - "\n", - "\n", - "CHP= Process(name='NG_CHP', conversion={NG: -1, Power: 277.78*0.44, CO2_Vent: 56, Heat: 277.78*0.28},\n", - " capex=500, fopex=15, prod_max=1000000, prod_min=800, label='Natural Gas CHP', basis='PJ')\n", - "\n", - "\n", - "PV= Process(name='PV', conversion={Solar: -1, Power: 277.78*0.09}, capex=2000, fopex = 500, \n", - " prod_max=300, prod_min=10, label='Solar PV', basis='kW')\n", - "\n", - "\n", - "WF= Process(name='WF',conversion={Wind: -1, Power: 277.78*0.22}, capex=2000, fopex=1200,\n", - " prod_max=500, prod_min=10, label='Wind Farm', basis='kW') \n", - "\n", - "\n", - "Grid = Process(name = 'Grid', conversion = {GridPower:-1, Power:277.78, CO2_Vent:90}, \n", - " basis = 'PJ', label = 'Grid Electricity', prod_max = 1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "0a648956", - "metadata": {}, - "outputs": [], - "source": [ - "Refrigerator = Process(name = 'Refrigerator', conversion = {Power:-1, Refrigeration:1*3}, capex = 70, vopex = 4, \n", - " basis = 'kW', label = 'Refrigerator', prod_max = 1000)\n", - "\n", - "LED = Process(name = 'LED', conversion = {Power:-1, Lighting:1*0.8}, capex = 10, vopex = 1, \n", - " basis = 'kW', label = 'LED', prod_max = 1000)\n", - "\n", - "Heater = Process(name = 'Heater', conversion = {Heat:-1, Heating:1*0.85}, capex = 30, vopex = 3, \n", - " basis = 'kW', label = 'Heater', prod_max = 1000)" - ] - }, - { - "cell_type": "markdown", - "id": "a60e71bf", - "metadata": {}, - "source": [ - "Location" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "1934ea2d", - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name = 'place', processes = {ST, CHP, PV, WF, Grid, Refrigerator, LED, Heater}, \n", - " scales = scales, label = 'College Station')" - ] - }, - { - "cell_type": "markdown", - "id": "d487226b", - "metadata": {}, - "source": [ - "Scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "5a461db2", - "metadata": {}, - "outputs": [], - "source": [ - "scenario= Scenario(name='scenario', network=place, \n", - " demand= {place:{Heating:100, Lighting:200, Refrigeration:1000}},\n", - " network_scale_level=0,scheduling_scale_level=0, scales=scales, label='scenario', demand_scale_level = 0)\n", - "#26000 is the total power we will need in 20 years running the supermarket\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "e0efca39", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{place: {Heating: 100, Lighting: 200, Refrigeration: 1000}}" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.demand" - ] - }, - { - "cell_type": "markdown", - "id": "28c7ec56", - "metadata": {}, - "source": [ - "Plotting" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "6d5cfa54", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp=formulate(scenario=scenario, constraints=\n", - " {\n", - " Constraints.COST,\n", - " Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE,\n", - " Constraints.INVENTORY,\n", - " Constraints.NETWORK,\n", - " Constraints.DEMAND,\n", - " }, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "681c7135", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_demand : specific demand for resources\n", - " Size=3, Index=constraint_demand_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Heating', 0) : 100.0 : S[place,Heating,0] : +Inf : True\n", - " ('place', 'Lighting', 0) : 200.0 : S[place,Lighting,0] : +Inf : True\n", - " ('place', 'Refrigeration', 0) : 1000.0 : S[place,Refrigeration,0] : +Inf : True\n" - ] - } - ], - "source": [ - "lp.constraint_demand.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "93fe8dc7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 148 rows, 143 columns and 291 nonzeros\n", - "Model fingerprint: 0xb951f057\n", - "Variable types: 135 continuous, 8 integer (8 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-01, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+02, 1e+10]\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 141 rows and 135 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 7 rows, 8 columns, 16 nonzeros\n", - "Variable types: 6 continuous, 2 integer (2 binary)\n", - "Found heuristic solution: objective 443326.40934\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.02 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 443326 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 4.433264093383e+05, best bound 4.433264093383e+05, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results=solve(scenario= scenario, instance=lp, solver='gurobi', name='lp')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "c171843d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'BM_ST', 0): 0.0,\n", - " ('place', 'Grid', 0): 1000.0,\n", - " ('place', 'Heater', 0): 117.64705882352916,\n", - " ('place', 'LED', 0): 250.0,\n", - " ('place', 'NG_CHP', 0): 800.0,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'Refrigerator', 0): 333.3333333333333,\n", - " ('place', 'WF', 0): 0.0}" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['Cap_P'] #CAPACITY PRODUCED " - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "5f29392c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'CO2_Vent', 0): 213.80501224897768,\n", - " ('place', 'Heating', 0): 100.00000000000001,\n", - " ('place', 'Lighting', 0): 200.0,\n", - " ('place', 'Refrigeration', 0): 1000.0}" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['S'] #AMOUNT SOLD / DEMAND " - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "89f298e6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'BM_ST', 0): 0.0,\n", - " ('place', 'Grid', 0): 1.4344423059741573,\n", - " ('place', 'Heater', 0): 117.64705882352942,\n", - " ('place', 'LED', 0): 250.0,\n", - " ('place', 'NG_CHP', 0): 1.5125929412732766,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'Refrigerator', 0): 333.3333333333333,\n", - " ('place', 'WF', 0): 0.0}" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['P'] #Amount Produced" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2c21ee2a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'Biomass', 0): 0.0,\n", - " ('place', 'GridPower', 0): 1.4344423059741573,\n", - " ('place', 'NG', 0): 1.5125929412732766,\n", - " ('place', 'Solar', 0): 0.0,\n", - " ('place', 'Wind', 0): 0.0}" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['C'] #Amount Consumed " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "d069b171", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='WF',location='place')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1b22582c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "125 Set Declarations\n", - " B_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_scheduling : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " B_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_network : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " B_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*scales_network : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " C_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_scheduling : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " C_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_network : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " C_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*scales_network : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " Cap_P_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Cap_S_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*scales_network : 0 : {}\n", - " Capex_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Capex_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Fopex_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Fopex_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Incidental_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Incidental_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Inv_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*scales_scheduling : 0 : {}\n", - " P_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes_full*scales_scheduling : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " P_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " P_m_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 4 : locations*P_m_index_1*scales_scheduling : 8 : {('place', 'BM_ST', 0, 0), ('place', 'Grid', 0, 0), ('place', 'Heater', 0, 0), ('place', 'PV', 0, 0), ('place', 'NG_CHP', 0, 0), ('place', 'WF', 0, 0), ('place', 'Refrigerator', 0, 0), ('place', 'LED', 0, 0)}\n", - " P_m_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : Any : 8 : {('BM_ST', 0), ('Grid', 0), ('Heater', 0), ('PV', 0), ('NG_CHP', 0), ('WF', 0), ('Refrigerator', 0), ('LED', 0)}\n", - " P_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : processes*scales_network : 8 : {('BM_ST', 0), ('Grid', 0), ('Heater', 0), ('LED', 0), ('NG_CHP', 0), ('PV', 0), ('Refrigerator', 0), ('WF', 0)}\n", - " R_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_scheduling : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " R_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_network : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " R_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_sell*scales_network : 4 : {('CO2_Vent', 0), ('Heating', 0), ('Lighting', 0), ('Refrigeration', 0)}\n", - " S_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_scheduling : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " S_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_network : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " S_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_sell*scales_network : 4 : {('CO2_Vent', 0), ('Heating', 0), ('Lighting', 0), ('Refrigeration', 0)}\n", - " Vopex_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Vopex_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " X_P_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network_binary : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " X_S_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*scales_network_binary : 0 : {}\n", - " constraint_demand_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_demand*constraint_demand_index_2 : 3 : {('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " constraint_demand_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_inventory_balance_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources*constraint_inventory_balance_index_2 : 11 : {('place', 'Biomass', 0), ('place', 'CO2_Vent', 0), ('place', 'GridPower', 0), ('place', 'Heat', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'NG', 0), ('place', 'Power', 0), ('place', 'Refrigeration', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_inventory_balance_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_capex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_capex_index_1 : 1 : {('place', 0),}\n", - " constraint_location_capex_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_consumption_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*constraint_location_consumption_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_location_consumption_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_discharge_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*constraint_location_discharge_index_2 : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " constraint_location_discharge_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_fopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_fopex_index_1 : 1 : {('place', 0),}\n", - " constraint_location_fopex_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_incidental_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_incidental_index_1 : 1 : {('place', 0),}\n", - " constraint_location_incidental_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_production_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_location_production_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_location_production_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_purchase_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*constraint_location_purchase_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_location_purchase_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_vopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_vopex_index_1 : 1 : {('place', 0),}\n", - " constraint_location_vopex_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_min_production_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_min_production_facility_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_min_production_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_min_storage_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_min_storage_facility_index_2 : 0 : {}\n", - " constraint_min_storage_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_nameplate_inventory_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_nameplate_inventory_index_2 : 0 : {}\n", - " constraint_nameplate_inventory_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_nameplate_production_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_nameplate_production_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_nameplate_production_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_capex_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_consumption_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*constraint_network_consumption_index_1 : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " constraint_network_consumption_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_discharge_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_sell*constraint_network_discharge_index_1 : 4 : {('CO2_Vent', 0), ('Heating', 0), ('Lighting', 0), ('Refrigeration', 0)}\n", - " constraint_network_discharge_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_fopex_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_incidental_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_production_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : processes*constraint_network_production_index_1 : 8 : {('BM_ST', 0), ('Grid', 0), ('Heater', 0), ('LED', 0), ('NG_CHP', 0), ('PV', 0), ('Refrigerator', 0), ('WF', 0)}\n", - " constraint_network_production_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_purchase_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*constraint_network_purchase_index_1 : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " constraint_network_purchase_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_vopex_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_capex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_capex_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_capex_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_fopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_fopex_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_fopex_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_incidental_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_incidental_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_incidental_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_vopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_vopex_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_vopex_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_facility_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_max_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_max_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_max_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_min_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_min_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_min_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_mode_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_mode_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_mode_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_resource_consumption_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*constraint_resource_consumption_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_resource_consumption_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_resource_purchase_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*constraint_resource_purchase_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_resource_purchase_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_storage_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_storage_facility_index_2 : 0 : {}\n", - " constraint_storage_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_storage_max_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_storage_max_index_2 : 0 : {}\n", - " constraint_storage_max_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_storage_min_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_storage_min_index_2 : 0 : {}\n", - " constraint_storage_min_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " locations : Set of locations\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {'place',}\n", - " modes : Set of process modes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " processes : Set of processes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_failure : Set of processes which can fail\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_full : Set of all processes including dummy discharge\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_materials : Set of processes with material requirements\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_multim : Set of processes with multiple modes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_singlem : Set of processes with multiple modes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_storage : Set of storage process\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_uncertain_capacity : Set of processes with uncertain capacity\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_varying_capacity : Set of processes with varying capacity\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_varying_expenditure : Set of processes with varying expenditure\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources : Set of resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 11 : {'Biomass', 'CO2_Vent', 'GridPower', 'Heat', 'Heating', 'Lighting', 'NG', 'Power', 'Refrigeration', 'Solar', 'Wind'}\n", - " resources_demand : Set of resources with exact demand\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 3 : {'Heating', 'Lighting', 'Refrigeration'}\n", - " resources_nosell : Set of non-dischargeable resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 7 : {'Biomass', 'GridPower', 'Heat', 'NG', 'Power', 'Solar', 'Wind'}\n", - " resources_purch : Set of purchased resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 5 : {'Biomass', 'GridPower', 'NG', 'Solar', 'Wind'}\n", - " resources_sell : Set of dischargeable resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 4 : {'CO2_Vent', 'Heating', 'Lighting', 'Refrigeration'}\n", - " resources_store : Set of storeable resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_uncertain_demand : Set of resources with uncertain demand\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_uncertain_price : Set of resources with uncertain purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_uncertain_revenue : Set of resources with uncertain purchase revenue\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_varying_demand : Set of resources with varying purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_varying_price : Set of resources with varying purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_varying_revenue : Set of resources with varying purchase revenue\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " scales : set of scales\n", - " Size=1, Index=scales_index, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " 0 : 1 : Any : 1 : {0,}\n", - " scales_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " scales_network : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " scales_network_binary : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " scales_scheduling : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - "\n", - "34 Var Declarations\n", - " B : Purchase Expenditure\n", - " Size=5, Index=B_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 13.94277921406881 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 13.44695124791943 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " B_location : Total resource purchase at location\n", - " Size=5, Index=B_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 13.94277921406881 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 13.44695124791943 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " B_network : Total resource purchase from network\n", - " Size=5, Index=B_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('GridPower', 0) : 0 : 13.94277921406881 : None : False : False : NonNegativeReals\n", - " ('NG', 0) : 0 : 13.44695124791943 : None : False : False : NonNegativeReals\n", - " ('Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " C : Resource Consumption\n", - " Size=5, Index=C_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " C_location : Total resource consumption at location\n", - " Size=5, Index=C_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " C_network : Total resource consumption from network\n", - " Size=5, Index=C_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('GridPower', 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('NG', 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Cap_P : Process Capacity\n", - " Size=8, Index=Cap_P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 117.64705882352916 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 800.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Cap_S : Storage Capacity\n", - " Size=0, Index=Cap_S_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " Capex_location : Capex at location scale\n", - " Size=1, Index=Capex_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 429362.7450980392 : None : False : False : NonNegativeReals\n", - " Capex_network : Capex at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 429362.7450980392 : None : False : False : NonNegativeReals\n", - " Capex_process : Capex for process\n", - " Size=8, Index=Capex_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 3529.4117647058747 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 2500.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 400000.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 23333.333333333332 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Cost : Total cost\n", - " Size=1, Index=None\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " None : 0 : None : None : False : True : NonNegativeReals\n", - " Fopex_location : Fixed Opex at location scale\n", - " Size=1, Index=Fopex_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 12000.0 : None : False : False : NonNegativeReals\n", - " Fopex_network : Fixed Opex at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 12000.0 : None : False : False : NonNegativeReals\n", - " Fopex_process : Fixed Opex for process\n", - " Size=8, Index=Fopex_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 12000.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Incidental_location : Incidental at location scale\n", - " Size=1, Index=Incidental_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Incidental_network : Incidental at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Incidental_process : Incidentals for process\n", - " Size=8, Index=Incidental_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Inv : Resource Inventory\n", - " Size=0, Index=Inv_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " P : Production\n", - " Size=8, Index=P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " P_location : Total production at location\n", - " Size=8, Index=P_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " P_m : Production modes\n", - " Size=8, Index=P_m_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0, 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0, 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0, 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0, 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0, 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " P_network : Total production from network\n", - " Size=8, Index=P_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Grid', 0) : 0 : 1.4344423059741573 : None : False : False : NonNegativeReals\n", - " ('Heater', 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('NG_CHP', 0) : 0 : 1.5125929412732766 : None : False : False : NonNegativeReals\n", - " ('PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " R : Revenue from resource Sold\n", - " Size=4, Index=R_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " R_location : Total revenue from resource discharge at location\n", - " Size=4, Index=R_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " R_network : Total revenue from resource discharge from network\n", - " Size=4, Index=R_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('CO2_Vent', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('Heating', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('Lighting', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('Refrigeration', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " S : Resource Dispensed/Sold\n", - " Size=4, Index=S_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : 213.80501224897768 : None : False : False : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : 100.00000000000001 : None : False : False : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : 200.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " S_location : Total resource discharge at location\n", - " Size=4, Index=S_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : 213.80501224897768 : None : False : False : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : 100.00000000000001 : None : False : False : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : 200.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " S_network : Total resource discharge from network\n", - " Size=4, Index=S_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('CO2_Vent', 0) : 0 : 213.80501224897768 : None : False : False : NonNegativeReals\n", - " ('Heating', 0) : 0 : 100.00000000000001 : None : False : False : NonNegativeReals\n", - " ('Lighting', 0) : 0 : 200.0 : None : False : False : NonNegativeReals\n", - " ('Refrigeration', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " Vopex_location : Variable Opex at location scale\n", - " Size=1, Index=Vopex_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 1936.2745098039215 : None : False : False : NonNegativeReals\n", - " Vopex_network : Variable Opex at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 1936.2745098039215 : None : False : False : NonNegativeReals\n", - " Vopex_process : Variable Opex for process\n", - " Size=8, Index=Vopex_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 352.9411764705883 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 1333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " X_P : Process Binary\n", - " Size=8, Index=X_P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'Grid', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'Heater', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'LED', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'NG_CHP', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PV', 0) : 0 : -0.0 : 1 : False : False : Binary\n", - " ('place', 'Refrigerator', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'WF', 0) : 0 : -0.0 : 1 : False : False : Binary\n", - " X_S : Storage Binary\n", - " Size=0, Index=X_S_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - "\n", - "1 Objective Declarations\n", - " objective_cost : total cost\n", - " Size=1, Index=None, Active=True\n", - " Key : Active : Sense : Expression\n", - " None : True : minimize : Capex_network[0] + Vopex_network[0] + Fopex_network[0] + B_network[Biomass,0] + B_network[GridPower,0] + B_network[NG,0] + B_network[Solar,0] + B_network[Wind,0] + Incidental_network[0]\n", - "\n", - "33 Constraint Declarations\n", - " constraint_demand : specific demand for resources\n", - " Size=3, Index=constraint_demand_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Heating', 0) : 100.0 : S[place,Heating,0] : +Inf : True\n", - " ('place', 'Lighting', 0) : 200.0 : S[place,Lighting,0] : +Inf : True\n", - " ('place', 'Refrigeration', 0) : 1000.0 : S[place,Refrigeration,0] : +Inf : True\n", - " constraint_inventory_balance : mass balance across scheduling scale\n", - " Size=11, Index=constraint_inventory_balance_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : - P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,Biomass,0] : 0.0 : True\n", - " ('place', 'CO2_Vent', 0) : 0.0 : 100*P_m[place,BM_ST,0,0] + 90*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 56*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,CO2_Vent,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] - P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,GridPower,0] : 0.0 : True\n", - " ('place', 'Heat', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] - P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 77.7784*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] : 0.0 : True\n", - " ('place', 'Heating', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0.85*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,Heating,0] : 0.0 : True\n", - " ('place', 'Lighting', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0.8*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,Lighting,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] - P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,NG,0] : 0.0 : True\n", - " ('place', 'Power', 0) : 0.0 : 188.8904*P_m[place,BM_ST,0,0] + 277.78*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] - P_m[place,LED,0,0] + 122.22319999999999*P_m[place,NG_CHP,0,0] + 25.000199999999996*P_m[place,PV,0,0] - P_m[place,Refrigerator,0,0] + 61.111599999999996*P_m[place,WF,0,0] : 0.0 : True\n", - " ('place', 'Refrigeration', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 3*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,Refrigeration,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] - P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] - P_m[place,WF,0,0] + C[place,Wind,0] : 0.0 : True\n", - " constraint_location_capex : total purchase from network\n", - " Size=1, Index=constraint_location_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Capex_location[place,0] - (Capex_process[place,BM_ST,0] + Capex_process[place,Grid,0] + Capex_process[place,Heater,0] + Capex_process[place,LED,0] + Capex_process[place,NG_CHP,0] + Capex_process[place,PV,0] + Capex_process[place,Refrigerator,0] + Capex_process[place,WF,0]) : 0.0 : True\n", - " constraint_location_consumption : total consumption at location\n", - " Size=5, Index=constraint_location_consumption_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : C_location[place,Biomass,0] - C[place,Biomass,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : C_location[place,GridPower,0] - C[place,GridPower,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : C_location[place,NG,0] - C[place,NG,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : C_location[place,Solar,0] - C[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : C_location[place,Wind,0] - C[place,Wind,0] : 0.0 : True\n", - " constraint_location_discharge : total discharge at location\n", - " Size=4, Index=constraint_location_discharge_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'CO2_Vent', 0) : 0.0 : S_location[place,CO2_Vent,0] - S[place,CO2_Vent,0] : 0.0 : True\n", - " ('place', 'Heating', 0) : 0.0 : S_location[place,Heating,0] - S[place,Heating,0] : 0.0 : True\n", - " ('place', 'Lighting', 0) : 0.0 : S_location[place,Lighting,0] - S[place,Lighting,0] : 0.0 : True\n", - " ('place', 'Refrigeration', 0) : 0.0 : S_location[place,Refrigeration,0] - S[place,Refrigeration,0] : 0.0 : True\n", - " constraint_location_fopex : total purchase from network\n", - " Size=1, Index=constraint_location_fopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Fopex_location[place,0] - (Fopex_process[place,BM_ST,0] + Fopex_process[place,Grid,0] + Fopex_process[place,Heater,0] + Fopex_process[place,LED,0] + Fopex_process[place,NG_CHP,0] + Fopex_process[place,PV,0] + Fopex_process[place,Refrigerator,0] + Fopex_process[place,WF,0]) : 0.0 : True\n", - " constraint_location_incidental : total purchase from network\n", - " Size=1, Index=constraint_location_incidental_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Incidental_location[place,0] - (Incidental_process[place,BM_ST,0] + Incidental_process[place,Grid,0] + Incidental_process[place,Heater,0] + Incidental_process[place,LED,0] + Incidental_process[place,NG_CHP,0] + Incidental_process[place,PV,0] + Incidental_process[place,Refrigerator,0] + Incidental_process[place,WF,0]) : 0.0 : True\n", - " constraint_location_production : total production at location\n", - " Size=8, Index=constraint_location_production_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : P_location[place,BM_ST,0] - P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : P_location[place,Grid,0] - P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : P_location[place,Heater,0] - P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : P_location[place,LED,0] - P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : P_location[place,NG_CHP,0] - P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : P_location[place,PV,0] - P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : P_location[place,Refrigerator,0] - P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : P_location[place,WF,0] - P[place,WF,0] : 0.0 : True\n", - " constraint_location_purchase : total purchase at location\n", - " Size=5, Index=constraint_location_purchase_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : B_location[place,Biomass,0] - B[place,Biomass,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : B_location[place,GridPower,0] - B[place,GridPower,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : B_location[place,NG,0] - B[place,NG,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : B_location[place,Solar,0] - B[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : B_location[place,Wind,0] - B[place,Wind,0] : 0.0 : True\n", - " constraint_location_vopex : total purchase from network\n", - " Size=1, Index=constraint_location_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Vopex_location[place,0] - (Vopex_process[place,BM_ST,0] + Vopex_process[place,Grid,0] + Vopex_process[place,Heater,0] + Vopex_process[place,LED,0] + Vopex_process[place,NG_CHP,0] + Vopex_process[place,PV,0] + Vopex_process[place,Refrigerator,0] + Vopex_process[place,WF,0]) : 0.0 : True\n", - " constraint_min_production_facility : production facility sizing and location\n", - " Size=8, Index=constraint_min_production_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : 100*X_P[place,BM_ST,0] - Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : -Inf : 0*X_P[place,Grid,0] - Cap_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : -Inf : 0*X_P[place,Heater,0] - Cap_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : -Inf : 0*X_P[place,LED,0] - Cap_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : 800*X_P[place,NG_CHP,0] - Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : -Inf : 10*X_P[place,PV,0] - Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : 0*X_P[place,Refrigerator,0] - Cap_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : -Inf : 10*X_P[place,WF,0] - Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_min_storage_facility : storage facility sizing and location\n", - " Size=0, Index=constraint_min_storage_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_nameplate_inventory : nameplate inventory capacity constraint\n", - " Size=0, Index=constraint_nameplate_inventory_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_nameplate_production : nameplate production capacity constraint\n", - " Size=8, Index=constraint_nameplate_production_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : P[place,BM_ST,0] - Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : -Inf : P[place,Grid,0] - Cap_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : -Inf : P[place,Heater,0] - Cap_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : -Inf : P[place,LED,0] - Cap_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : P[place,NG_CHP,0] - Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : -Inf : P[place,PV,0] - Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : P[place,Refrigerator,0] - Cap_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : -Inf : P[place,WF,0] - Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_network_capex : total purchase from network\n", - " Size=1, Index=constraint_network_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Capex_network[0] - Capex_location[place,0] : 0.0 : True\n", - " constraint_network_consumption : total consumption from network\n", - " Size=5, Index=constraint_network_consumption_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('Biomass', 0) : 0.0 : C_network[Biomass,0] - C_location[place,Biomass,0] : 0.0 : True\n", - " ('GridPower', 0) : 0.0 : C_network[GridPower,0] - C_location[place,GridPower,0] : 0.0 : True\n", - " ('NG', 0) : 0.0 : C_network[NG,0] - C_location[place,NG,0] : 0.0 : True\n", - " ('Solar', 0) : 0.0 : C_network[Solar,0] - C_location[place,Solar,0] : 0.0 : True\n", - " ('Wind', 0) : 0.0 : C_network[Wind,0] - C_location[place,Wind,0] : 0.0 : True\n", - " constraint_network_discharge : total discharge from network\n", - " Size=4, Index=constraint_network_discharge_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('CO2_Vent', 0) : 0.0 : S_network[CO2_Vent,0] - S_location[place,CO2_Vent,0] : 0.0 : True\n", - " ('Heating', 0) : 0.0 : S_network[Heating,0] - S_location[place,Heating,0] : 0.0 : True\n", - " ('Lighting', 0) : 0.0 : S_network[Lighting,0] - S_location[place,Lighting,0] : 0.0 : True\n", - " ('Refrigeration', 0) : 0.0 : S_network[Refrigeration,0] - S_location[place,Refrigeration,0] : 0.0 : True\n", - " constraint_network_fopex : total purchase from network\n", - " Size=1, Index=constraint_network_fopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Fopex_network[0] - Fopex_location[place,0] : 0.0 : True\n", - " constraint_network_incidental : total purchase from network\n", - " Size=1, Index=constraint_network_incidental_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Incidental_network[0] - Incidental_location[place,0] : 0.0 : True\n", - " constraint_network_production : total production from network\n", - " Size=8, Index=constraint_network_production_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('BM_ST', 0) : 0.0 : P_network[BM_ST,0] - P_location[place,BM_ST,0] : 0.0 : True\n", - " ('Grid', 0) : 0.0 : P_network[Grid,0] - P_location[place,Grid,0] : 0.0 : True\n", - " ('Heater', 0) : 0.0 : P_network[Heater,0] - P_location[place,Heater,0] : 0.0 : True\n", - " ('LED', 0) : 0.0 : P_network[LED,0] - P_location[place,LED,0] : 0.0 : True\n", - " ('NG_CHP', 0) : 0.0 : P_network[NG_CHP,0] - P_location[place,NG_CHP,0] : 0.0 : True\n", - " ('PV', 0) : 0.0 : P_network[PV,0] - P_location[place,PV,0] : 0.0 : True\n", - " ('Refrigerator', 0) : 0.0 : P_network[Refrigerator,0] - P_location[place,Refrigerator,0] : 0.0 : True\n", - " ('WF', 0) : 0.0 : P_network[WF,0] - P_location[place,WF,0] : 0.0 : True\n", - " constraint_network_purchase : total purchase from network\n", - " Size=5, Index=constraint_network_purchase_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('Biomass', 0) : 0.0 : B_network[Biomass,0] - B_location[place,Biomass,0] : 0.0 : True\n", - " ('GridPower', 0) : 0.0 : B_network[GridPower,0] - B_location[place,GridPower,0] : 0.0 : True\n", - " ('NG', 0) : 0.0 : B_network[NG,0] - B_location[place,NG,0] : 0.0 : True\n", - " ('Solar', 0) : 0.0 : B_network[Solar,0] - B_location[place,Solar,0] : 0.0 : True\n", - " ('Wind', 0) : 0.0 : B_network[Wind,0] - B_location[place,Wind,0] : 0.0 : True\n", - " constraint_network_vopex : total purchase from network\n", - " Size=1, Index=constraint_network_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Vopex_network[0] - Vopex_location[place,0] : 0.0 : True\n", - " constraint_process_capex : total purchase from network\n", - " Size=8, Index=constraint_process_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Capex_process[place,BM_ST,0] - 250*Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Capex_process[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Capex_process[place,Heater,0] - 30*Cap_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Capex_process[place,LED,0] - 10*Cap_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Capex_process[place,NG_CHP,0] - 500*Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Capex_process[place,PV,0] - 2000*Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Capex_process[place,Refrigerator,0] - 70*Cap_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Capex_process[place,WF,0] - 2000*Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_process_fopex : total purchase from network\n", - " Size=8, Index=constraint_process_fopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Fopex_process[place,BM_ST,0] - 15*Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Fopex_process[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Fopex_process[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Fopex_process[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Fopex_process[place,NG_CHP,0] - 15*Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Fopex_process[place,PV,0] - 500*Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Fopex_process[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Fopex_process[place,WF,0] - 1200*Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_process_incidental : total incidental costs from processes\n", - " Size=8, Index=constraint_process_incidental_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Incidental_process[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Incidental_process[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Incidental_process[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Incidental_process[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Incidental_process[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Incidental_process[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Incidental_process[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Incidental_process[place,WF,0] : 0.0 : True\n", - " constraint_process_vopex : total purchase from network\n", - " Size=8, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Vopex_process[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Vopex_process[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Vopex_process[place,Heater,0] - 3*P_location[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Vopex_process[place,LED,0] - P_location[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Vopex_process[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Vopex_process[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Vopex_process[place,Refrigerator,0] - 4*P_location[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Vopex_process[place,WF,0] : 0.0 : True\n", - " constraint_production_facility : production facility sizing and location\n", - " Size=8, Index=constraint_production_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : Cap_P[place,BM_ST,0] - 1000000*X_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : -Inf : Cap_P[place,Grid,0] - 1000*X_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : -Inf : Cap_P[place,Heater,0] - 1000*X_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : -Inf : Cap_P[place,LED,0] - 1000*X_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : Cap_P[place,NG_CHP,0] - 1000000*X_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : -Inf : Cap_P[place,PV,0] - 300*X_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : Cap_P[place,Refrigerator,0] - 1000*X_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : -Inf : Cap_P[place,WF,0] - 500*X_P[place,WF,0] : 0.0 : True\n", - " constraint_production_max : production facility sizing\n", - " Size=8, Index=constraint_production_max_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : Cap_P[place,BM_ST,0] : 1000000.0 : True\n", - " ('place', 'Grid', 0) : -Inf : Cap_P[place,Grid,0] : 1000.0 : True\n", - " ('place', 'Heater', 0) : -Inf : Cap_P[place,Heater,0] : 1000.0 : True\n", - " ('place', 'LED', 0) : -Inf : Cap_P[place,LED,0] : 1000.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : Cap_P[place,NG_CHP,0] : 1000000.0 : True\n", - " ('place', 'PV', 0) : -Inf : Cap_P[place,PV,0] : 300.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : Cap_P[place,Refrigerator,0] : 1000.0 : True\n", - " ('place', 'WF', 0) : -Inf : Cap_P[place,WF,0] : 500.0 : True\n", - " constraint_production_mode : production mode sum constraint\n", - " Size=8, Index=constraint_production_mode_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : P[place,BM_ST,0] - P_m[place,BM_ST,0,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : P[place,Grid,0] - P_m[place,Grid,0,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : P[place,Heater,0] - P_m[place,Heater,0,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : P[place,LED,0] - P_m[place,LED,0,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : P[place,NG_CHP,0] - P_m[place,NG_CHP,0,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : P[place,PV,0] - P_m[place,PV,0,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : P[place,Refrigerator,0] - P_m[place,Refrigerator,0,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : P[place,WF,0] - P_m[place,WF,0,0] : 0.0 : True\n", - " constraint_resource_consumption : resource consumption\n", - " Size=5, Index=constraint_resource_consumption_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : -Inf : C[place,Biomass,0] : 10000000000.0 : True\n", - " ('place', 'GridPower', 0) : -Inf : C[place,GridPower,0] : 10000000000.0 : True\n", - " ('place', 'NG', 0) : -Inf : C[place,NG,0] : 100.0 : True\n", - " ('place', 'Solar', 0) : -Inf : C[place,Solar,0] : 10000000000.0 : True\n", - " ('place', 'Wind', 0) : -Inf : C[place,Wind,0] : 10000000000.0 : True\n", - " constraint_resource_purchase : expenditure on purchase of resource\n", - " Size=5, Index=constraint_resource_purchase_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : B[place,Biomass,0] - 36.11*C[place,Biomass,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : B[place,GridPower,0] - 9.72*C[place,GridPower,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : B[place,NG,0] - 8.89*C[place,NG,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : B[place,Solar,0] + 0*C[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : B[place,Wind,0] + 0*C[place,Wind,0] : 0.0 : True\n", - " constraint_storage_facility : storage facility sizing and location\n", - " Size=0, Index=constraint_storage_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_storage_max : storage facility sizing\n", - " Size=0, Index=constraint_storage_max_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - "\n", - "1 Suffix Declarations\n", - " dual : Direction=Suffix.IMPORT_EXPORT, Datatype=Suffix.FLOAT\n", - " Key : Value\n", - "\n", - "194 Declarations: scales_index scales processes processes_full resources resources_nosell resources_sell resources_store resources_purch resources_varying_price resources_varying_revenue resources_varying_demand resources_demand processes_varying_capacity processes_varying_expenditure processes_failure processes_materials processes_storage processes_multim processes_singlem locations resources_uncertain_price resources_uncertain_revenue resources_uncertain_demand processes_uncertain_capacity modes scales_scheduling P_index P B_index B C_index C S_index S R_index R Inv_index Inv P_m_index_1 P_m_index P_m scales_network Cap_P_index Cap_P Cap_S_index Cap_S P_location_index P_location S_location_index S_location R_location_index R_location C_location_index C_location B_location_index B_location P_network_index P_network S_network_index S_network R_network_index R_network C_network_index C_network B_network_index B_network Fopex_process_index Fopex_process Vopex_process_index Vopex_process Capex_process_index Capex_process Incidental_process_index Incidental_process Fopex_location_index Fopex_location Vopex_location_index Vopex_location Capex_location_index Capex_location Incidental_location_index Incidental_location Fopex_network Vopex_network Capex_network Incidental_network Cost constraint_process_capex_index_2 constraint_process_capex_index constraint_process_capex constraint_process_fopex_index_2 constraint_process_fopex_index constraint_process_fopex constraint_process_vopex_index_2 constraint_process_vopex_index constraint_process_vopex constraint_process_incidental_index_2 constraint_process_incidental_index constraint_process_incidental constraint_location_capex_index_1 constraint_location_capex_index constraint_location_capex constraint_location_fopex_index_1 constraint_location_fopex_index constraint_location_fopex constraint_location_vopex_index_1 constraint_location_vopex_index constraint_location_vopex constraint_location_incidental_index_1 constraint_location_incidental_index constraint_location_incidental constraint_network_capex_index constraint_network_capex constraint_network_fopex_index constraint_network_fopex constraint_network_vopex_index constraint_network_vopex constraint_network_incidental_index constraint_network_incidental constraint_nameplate_inventory_index_2 constraint_nameplate_inventory_index constraint_nameplate_inventory constraint_storage_max_index_2 constraint_storage_max_index constraint_storage_max constraint_storage_min_index_2 constraint_storage_min_index constraint_production_mode_index_2 constraint_production_mode_index constraint_production_mode constraint_nameplate_production_index_2 constraint_nameplate_production_index constraint_nameplate_production constraint_production_max_index_2 constraint_production_max_index constraint_production_max constraint_production_min_index_2 constraint_production_min_index constraint_inventory_balance_index_2 constraint_inventory_balance_index constraint_inventory_balance constraint_resource_consumption_index_2 constraint_resource_consumption_index constraint_resource_consumption constraint_resource_purchase_index_2 constraint_resource_purchase_index constraint_resource_purchase constraint_location_production_index_2 constraint_location_production_index constraint_location_production constraint_location_discharge_index_2 constraint_location_discharge_index constraint_location_discharge constraint_location_consumption_index_2 constraint_location_consumption_index constraint_location_consumption constraint_location_purchase_index_2 constraint_location_purchase_index constraint_location_purchase constraint_network_production_index_1 constraint_network_production_index constraint_network_production constraint_network_discharge_index_1 constraint_network_discharge_index constraint_network_discharge constraint_network_consumption_index_1 constraint_network_consumption_index constraint_network_consumption constraint_network_purchase_index_1 constraint_network_purchase_index constraint_network_purchase scales_network_binary X_P_index X_P X_S_index X_S constraint_storage_facility_index_2 constraint_storage_facility_index constraint_storage_facility constraint_production_facility_index_2 constraint_production_facility_index constraint_production_facility constraint_min_production_facility_index_2 constraint_min_production_facility_index constraint_min_production_facility constraint_min_storage_facility_index_2 constraint_min_storage_facility_index constraint_min_storage_facility constraint_demand_index_2 constraint_demand_index constraint_demand objective_cost dual\n" - ] - } - ], - "source": [ - "lp.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "060b249f", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/IPCE/project.ipynb b/examples/IPCE/project.ipynb deleted file mode 100644 index 72086d64..00000000 --- a/examples/IPCE/project.ipynb +++ /dev/null @@ -1,1417 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 95, - "id": "961ef9ef", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve" - ] - }, - { - "cell_type": "markdown", - "id": "c593b5f8", - "metadata": {}, - "source": [ - "Scales" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "id": "12c1143b", - "metadata": {}, - "outputs": [], - "source": [ - "scales=TemporalScale(discretization_list=[1]) " - ] - }, - { - "cell_type": "markdown", - "id": "7a54554f", - "metadata": {}, - "source": [ - "Resources" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "id": "a0473e21", - "metadata": {}, - "outputs": [], - "source": [ - "Biomass= Resource(name='Biomass', price=36.11, cons_max= 10**10, basis='GJ', label='Biomass') #table 2\n", - "\n", - "GridPower = Resource(name='GridPower', cons_max = 10**10, price=9.72, basis='GJ', label='Grid Electricity')\n", - "\n", - "NG = Resource(name='NG', price= 8.89, cons_max= 10*10, basis='GJ', label='Natural gas')\n", - "Power=Resource(name='Power', basis='kW',label='Electrical Power')\n", - "Heat=Resource(name='Heat', basis='kW',label='Heat Power')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons', label='Carbon dioxide')\n", - "\n", - "Solar = Resource(name = 'Solar', cons_max=10**10, basis ='GJ', label ='Solar energy') \n", - "Wind = Resource(name = 'Wind', cons_max=10**10, basis ='GJ', label ='Wind energy')\n", - "\n", - "Lighting = Resource(name='Lighting', demand=True, basis='kW',label='Lighting')\n", - "Refrigeration = Resource(name='Refrigeration', demand=True, basis='kW',label='Refrigeration') \n", - "Heating = Resource(name='Heating', demand=True, basis='kW',label='Heating')\n" - ] - }, - { - "cell_type": "markdown", - "id": "9db1df3f", - "metadata": {}, - "source": [ - "Processes" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "id": "f584e041", - "metadata": {}, - "outputs": [], - "source": [ - "ST= Process(name='BM_ST', conversion={Biomass: -1, Power: 277.78*0.68, CO2_Vent:100},capex=250, fopex=15,\n", - " prod_min=100, prod_max=1000000, label='Biomass ST', basis='PJ') #table 3 \n", - "\n", - "\n", - "CHP= Process(name='NG_CHP', conversion={NG: -1, Power: 277.78*0.44, CO2_Vent: 56, Heat: 277.78*0.28},\n", - " capex=500, fopex=15, prod_max=1000000, prod_min=800, label='Natural Gas CHP', basis='PJ')\n", - "\n", - "\n", - "PV= Process(name='PV', conversion={Solar: -1, Power: 277.78*0.09}, capex=2000, fopex = 500, \n", - " prod_max=300, prod_min=10, label='Solar PV', basis='kW')\n", - "\n", - "\n", - "WF= Process(name='WF',conversion={Wind: -1, Power: 277.78*0.22}, capex=2000, fopex=1200,\n", - " prod_max=500, prod_min=10, label='Wind Farm', basis='kW') \n", - "\n", - "\n", - "Grid = Process(name = 'Grid', conversion = {GridPower:-1, Power:277.78, CO2_Vent:90}, \n", - " basis = 'PJ', label = 'Grid Electricity', prod_max = 1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "id": "0a648956", - "metadata": {}, - "outputs": [], - "source": [ - "Refrigerator = Process(name = 'Refrigerator', conversion = {Power:-1, Refrigeration:1*3}, capex = 70, vopex = 4, \n", - " basis = 'kW', label = 'Refrigerator', prod_max = 1000)\n", - "\n", - "LED = Process(name = 'LED', conversion = {Power:-1, Lighting:1*0.8}, capex = 10, vopex = 1, \n", - " basis = 'kW', label = 'LED', prod_max = 1000)\n", - "\n", - "Heater = Process(name = 'Heater', conversion = {Heat:-1, Heating:1*0.85}, capex = 30, vopex = 3, \n", - " basis = 'kW', label = 'Heater', prod_max = 1000)" - ] - }, - { - "cell_type": "markdown", - "id": "a60e71bf", - "metadata": {}, - "source": [ - "Location" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "id": "1934ea2d", - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name = 'place', processes = {ST, CHP, PV, WF, Grid, Refrigerator, LED, Heater}, \n", - " scales = scales, label = 'College Station')" - ] - }, - { - "cell_type": "markdown", - "id": "d487226b", - "metadata": {}, - "source": [ - "Scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "id": "5a461db2", - "metadata": {}, - "outputs": [], - "source": [ - "scenario= Scenario(name='scenario', network=place, \n", - " demand= {place:{Heating:100, Lighting:200, Refrigeration:1000}},\n", - " network_scale_level=0,scheduling_scale_level=0, scales=scales, label='scenario', demand_scale_level = 0, annualization_factor = 0.05)\n", - "#26000 is the total power we will need in 20 years running the supermarket\n" - ] - }, - { - "cell_type": "code", - "execution_count": 123, - "id": "e0efca39", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{place: {Heating: 100, Lighting: 200, Refrigeration: 1000}}" - ] - }, - "execution_count": 123, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.demand" - ] - }, - { - "cell_type": "markdown", - "id": "28c7ec56", - "metadata": {}, - "source": [ - "Plotting" - ] - }, - { - "cell_type": "code", - "execution_count": 124, - "id": "6d5cfa54", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp=formulate(scenario=scenario, constraints=\n", - " {\n", - " Constraints.COST,\n", - " Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE,\n", - " Constraints.DEMAND,\n", - " Constraints.INVENTORY,\n", - " Constraints.NETWORK,\n", - " }, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 125, - "id": "681c7135", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_demand : specific demand for resources\n", - " Size=3, Index=constraint_demand_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Heating', 0) : 100.0 : S[place,Heating,0] : +Inf : True\n", - " ('place', 'Lighting', 0) : 200.0 : S[place,Lighting,0] : +Inf : True\n", - " ('place', 'Refrigeration', 0) : 1000.0 : S[place,Refrigeration,0] : +Inf : True\n" - ] - } - ], - "source": [ - "lp.constraint_demand.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "id": "93fe8dc7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 148 rows, 143 columns and 291 nonzeros\n", - "Model fingerprint: 0xa362b677\n", - "Variable types: 135 continuous, 8 integer (8 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-01, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+02, 1e+10]\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 141 rows and 135 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 7 rows, 8 columns, 16 nonzeros\n", - "Variable types: 6 continuous, 2 integer (2 binary)\n", - "Found heuristic solution: objective 35431.801495\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.01 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 35431.8 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.543180149517e+04, best bound 3.543180149517e+04, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results=solve(scenario= scenario, instance=lp, solver='gurobi', name='lp')" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "id": "c171843d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'BM_ST', 0): 0.0,\n", - " ('place', 'Grid', 0): 1000.0,\n", - " ('place', 'Heater', 0): 117.64705882352916,\n", - " ('place', 'LED', 0): 250.0,\n", - " ('place', 'NG_CHP', 0): 800.0,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'Refrigerator', 0): 333.3333333333333,\n", - " ('place', 'WF', 0): 0.0}" - ] - }, - "execution_count": 127, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "5f29392c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'CO2_Vent', 0): 213.80501224897768,\n", - " ('place', 'Heating', 0): 100.00000000000001,\n", - " ('place', 'Lighting', 0): 200.0,\n", - " ('place', 'Refrigeration', 0): 1000.0}" - ] - }, - "execution_count": 128, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['S']" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "id": "89f298e6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'BM_ST', 0): 0.0,\n", - " ('place', 'Grid', 0): 1.4344423059741573,\n", - " ('place', 'Heater', 0): 117.64705882352942,\n", - " ('place', 'LED', 0): 250.0,\n", - " ('place', 'NG_CHP', 0): 1.5125929412732766,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'Refrigerator', 0): 333.3333333333333,\n", - " ('place', 'WF', 0): 0.0}" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['P']" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "id": "d069b171", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABB8AAAI6CAYAAABvieAXAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAB34UlEQVR4nO39d3gUVeP//7/SEyAJBIihVwlFlCJN0ShFgduCICpY6Ioi8r7FAngroERAAeUjNqoIiAVQUQHpCgGRIoI0lSZIAkEwoSQhyZ7fH/x2v1l2N9mEDGzI83FduS6Yc+bMmd0zW147c8bPGGMEAAAAAABgEf8r3QEAAAAAAHB1I3wAAAAAAACWInwAAAAAAACWInwAAAAAAACWInwAAAAAAACWInwAAAAAAACWInwAAAAAAACWInwAAAAAAACWInwAAAAAAACWInwA4HPS09M1bdo0derUSZUqVVJoaKhCQ0NVsWJF3XLLLRo4cKBmzZqlw4cPF+p2e/XqJT8/P6c/X7NixQqXPn700UeFvh1ffCy++OIL3X777SpTpoxCQkJUpUoVdejQQVOnTr3SXXOyZs0al8fO/le9enW366xevdpRJzEx0W2d2267Ldf2PvzwQ0VERKhPnz4W7FXeCmtsjhw50uPj582fFcdDUXL+/HndeeedKlu2rL799tsr3R0n27dv17Bhw9SsWTPFxMQoKChIpUuXVoMGDfTQQw9p8uTJ+uOPPwp9u+6OyYvHycXHl6djtTix2Wz67LPP1KVLF1WrVk0lSpRQcHCwoqOj1bJlS/Xr109Tpkyx5Dmz0qJFixQVFaWOHTsqMzPzSncHKFb8jDHmSncCAOz++OMP3X333dq7d68qV66shx56SNWrV1dISIj+/vtvLVu2TOvXr3fUnz17th555JFC2faGDRu0b98+rV27VlOmTJEk+dpLZFJSklasWCFJevTRRyVJM2fOVK9evQp1O772WIwePVovv/yywsPD9fTTT6tmzZravXu33n33XcXExOjgwYNXrG8XO3bsmJYvX64//vhDr776qiTpnnvuUbdu3VSqVCl17tzZZZ3//e9/io+PlyTNmTNHDz/8sEud5cuX69ixY5o1a5Z+/fVXTZw40am96667Tjt37pQknThxQmXLlrVmBz0orLG5fft2bd++3amdW265RY8//niu6+3evVuvv/66JcdDUbJ582Y1a9ZMknTXXXfpm2++ucI9kv79918NHjxYs2fPVkREhDp37qwbbrhBpUuX1j///KPNmzdr0aJFSktLkyQ1adJE//3vfwvttd1+TEqex6b9+Fq4cKG+/PJLVatWzadeVy6348eP65577tHGjRtVtmxZ9ejRQ7Vq1VJ4eLiSkpL0ww8/aPny5Y73hddee03/+9//XNr56quvtG3bNlWvXt3S4/Lff//V22+/LelCeJ5beHTXXXfpu+++k3TheGnatKll/QJwEQMAPuLs2bOmevXqRpLp37+/ycjIcFtv1qxZxt/f30gyU6dOLfR+zJw500gyvv4Sae/jzJkzLduGLzwWycnJJjg42EgyX3/9tVPZ0KFDTbVq1a5Mx/Jw9uxZR7/btWuXa91WrVo5HufevXvnWvfGG280Dz74oMvyd99914SHh5tHHnnkkvpdGAprbNrb6dmzZ551V69ebfnxUBRkZGSYdu3amdKlS5svv/zySnfHHDlyxFx33XVGkrnnnnvMiRMn3NZLTEw0t99+u+M5j4uLs6Q/eY3NESNGGEk++7pyOdhsNtOyZUsjyfznP/8xqampbustW7bMhIWFGUnmpZdeclunZ8+elj6fdgcOHHA8t6tXr8617pdffmnKlClj2rVr5/FzBgBrcNkFAJ8xa9YsHTx4UBEREZo0aZKCg4Pd1nvsscccv17h6vfTTz/p/Pnzki6cGp3T0KFDtXLlyivQq7yVKFFCLVq0kCQlJCQoIyPDbb0zZ85o06ZN8ve/8Ja8atUqj22mpKTol19+Udu2bV3KnnrqKaWmpmr27NmF0HsUVcHBwVq+fLlOnTrl9iyby+n8+fO655579NtvvykuLk7z58/3eEZOTEyMvvvuO9WvX/8y9xIXW7p0qX766Sf5+fnpgw8+UHh4uNt67du31wsvvHCZe3fpOnfurJMnT2r58uUeP2cAsAbhAwCf8cMPP0iS6tevr7CwsFzr9ujR43J0CT7g5MmTjn9HREQ4lUVGRqpWrVqXu0tes4cEaWlp2rBhg9s6P/74o7KystS9e3dJ0qFDh7Rv3z63ddesWaPs7Gy1adPGmg4XYVWrVtWLL76ohg0bXumu4P9v1KhR2rp1qwICAvTee+8pKCgo1/phYWEaO3bsZeodPLG/F19zzTWqXLlyrnV5LwaQH4QPAHzGP//8I0lKTk7Os26LFi305ptvOn5ZxtXLZrNd6S4UWM4zFDyd0bBq1SpVrlxZTzzxhGOZp7M5Vq1apWrVqvl04HKl1KxZU2PHjuX6bR+RkpKid955R5LUpk0br89o6NSpk8qUKWNl15AH+3vxqVOnlJ2dnWvda6+9VuPHj1fHjh0vR9cAFHGEDwB8hv0D5/79+/Xzzz/nWjcyMlLPPfdcrr9yGmP0ySefqEOHDrrmmmsUFBSkqKgotWrVSi+++KI2bdrkVb+2bt2qLl26KDo6WqGhoWrQoIHGjx/v1Zfi1atXq1u3bqpYsaKCg4NVrlw5xcXF6Z133vF4Gr7d8ePHNWjQIFWvXl2hoaGqVKmSunfvrl9//TXX9Vq2bOk0a/vFlyokJSUV+h0CUlNT9eqrr6px48aKiIhQiRIlVLt2bfXt2zfP/npiv+NG7969Hcvymo0+MzNT7777ruLi4lSuXDnHXTF69OihhISEXLdz8Z09du3apccee0xVqlRRYGCgoyw/k9C1aNFCJUuWlOQ5fFi5cqVuv/12tWzZUiVKlMi17urVq13OenB3d4iL+1i9enW3Y2LBggVq3bq1IiMjFR4ertatW3s1QWFBx6YVbrvtNrdj4fTp05oxY4a6dOnimLS2VKlSatCggZ599lkdOXLEbXsfffSRy+O5Zs0anTp1Si+++KJiY2MVFhbmdOx4GkNbt27VPffco7JlyyoqKkpt2rTR6tWrHdtKT0/Xa6+9pmuvvVahoaGqUaOGXnrpJaWnpxfosfD0PNt5uuvDmTNnNGzYMNWuXVuhoaGKiYnRY489dkl3FPr00091+vRpSdLdd9/t9XoBAQGaO3euhg4d6rHOoUOHNHjwYNWtW1clS5ZURESEbrjhBr300ks6ceJEgfucH0lJSXr++edVv359lSxZUqVKlVK9evU0aNAg7d+/P9d1jTGaOnWqmjdvrlKlSikyMlJNmjTRG2+8oczMTLfj6d9//3VpZ9++fXryySdVu3ZthYWFKTIyUo0aNdKwYcN07NixAu+b/b04IyNDX375Za51/fz8NGTIEN18881Oy+13D5k1a5akC2dTuDuuclqzZo2efvppNWrUSOHh4QoODlalSpXUpUsXLVu2zO327WO6Ro0ajmW333672+PA07HtSWG+n1zK5wjgqnKlJ50AALsJEyY4JoyqXLmyWbp0aYHb+vfffx2Tl1WpUsW88sorZurUqeaVV14x1157rWM7Tz75pMu6OSdZXL58ualSpYr53//+Z6ZPn26ee+45xwRbTz/9tMftZ2dnm6efftpIMlFRUWbo0KFm+vTpJj4+3tSrV89IMg0aNDB//fWX2/V/++03Ex0dbSSZ2NhYM3bsWDN16lTz1FNPmdKlS5ulS5d6nDht6dKlZvbs2eaWW25xO9FXWlqamT17tpk9e3aek695M+Hktm3bTIUKFYwk0759e/POO++YKVOmmF69epnAwEDj5+dnxo8f73F9T9avX29mz55tHn/8cUcf7P2ePXu2y2R6hw8fNg0bNjSSTL169cyYMWPM1KlTzTPPPGNKlChhJJlnn33W2Gy2PLezevVqU65cOfP000+bqVOnmqFDh5rQ0FAjyRw4cCBf+9GhQwcjyQQFBZkzZ844lf3zzz/Gz8/P8fjfcccdRpKJjo526efx48eNn5+fmT17ttPyX3/91cyePdsMHz7c0f+L+/jll1+6jInXXnvNNGjQwIwfP95MnTrVPPDAA0aS8fPzM59//rnH/bmUsZlf9nZym3AyLi7O7eSAjRo1MpJMqVKlzDPPPGM++OADEx8fb2699VYjyZQuXdqsXbvWZb19+/aZ2bNnm7feesux/U8//dTUqlXL3Hfffeb99983b775pqlcubJjH92NoZUrV5patWqZV1991bz33nvm/vvvN5JMQECA+frrr01mZqa56667TJ8+fcyUKVPM0KFDTXh4uJFk7r///gI9Xu6e55ySkpJcjv3JkyebRo0amYceeshMmTLFjB8/3vEaVaVKFXPq1KkC9eWhhx5ybOOHH34oUBvufPrpp45j8f777zfvv/++eeedd0z79u2NJFOmTBmzZs0aj+vnNTa9mXBy+fLlJiIiwvj5+Zn777/ffPDBB+a9994zXbt2NX5+fiYkJMTMmzfP7bqZmZmmc+fORpIJCwszzzzzjJk2bZqJj4831157rbn55psdj13dunUdz9f58+ed2pk9e7YJDg42gYGBpnfv3mbq1Klm0qRJpl27dkaSiYyMNKtWrcrz8XRnwYIFjsepdOnS5pNPPnF5PcrLsmXLnMZizn2x/yUlJTnqv/32245tduzY0UycONFMnjzZ9O/f3zFx73PPPeeyHfuYznm8Dh8+3Gk7y5YtM8a4P7Y9TU5ZmO8ny5cvN5UrV3Z8jhgyZIhjDOf2OQK4GhE+APAZJ06cMOXKlXO8YUsyjRo1MhMnTjSHDh3yup3s7GxH8NCwYUOXD88ZGRmmS5cuRpK59957XdbP+YW7QYMGZv/+/U7lc+bMMZKMv7+/xy+i//vf/4wkU7FiRZeAIT093bRt29ZIMjfeeKPJzMx0Kj979qypUaOGkWRatmxpzp0751S+YcMGU6VKlTw/RHszy/ilhg+JiYmmfPnyRpL53//+51L+/fffO+5MUtCZ970JQM6ePev4wtSuXTuTnp7uVL5t2zZTqlQpI8mMHDkyz+3Url3bbNq0yal89OjRBQof3njjDUe7ixcvdiqbP3++kWQOHjxojDFmzJgxjrrbt293qvvZZ58ZSebvv/92ux373R5y66N9TFxzzTWmZcuWJi0tzam8d+/eRpKpWbOm2/ULa2x6y97OQw89ZJKTk93+3XTTTW6/KDZo0MCEh4ebXbt2uZTZv2Bec801LoGQXc7Z8ytVqmQmT57sVL5u3TqXfcw5hm644QZz5MgRp3UGDBhgJJkaNWqY//f//p+ZMmWKU3lCQoJj/Q0bNnj5KLnKz7FfoUIFM3HiRKeykydPmrJlyxpJZtSoUQXqQ86Q9+jRowVq42IrV650vJ5MmzbNpdz+uluiRAm3z7sxlx4+7Nixw/HF0V0fpk2b5ggbf/75Z5fyF1980UgyISEh5qeffnIqO3funGnVqpUJCAjI9flbtmyZ8fPzM/7+/ub77793Kbc/DpGRkY7Xlvw4f/68iY2NdXovrl27tnnttdfM7t2789WWt3e7ePPNN40k89prr7mU7dixw5QsWdJIMvPnz3e7fn7udpFX3cJ+P6lfv77Zt2+fU/msWbPy/BwBXI0IHwD4lPXr1zu+zF78d8MNN5gRI0aYP/74I9c2cr7pu/tl0xhj/v77bxMQEJBn+ODug0VGRobjw+f777/vUv777787PjzOmDHD7fZ37drl2MbcuXOdysaOHesoc/fh1RjjOKviSocPjz76qOPLVFZWlts69l/UY2Nj8/3rmTd9MMaYkSNHGunCr8oXf8izs3+p8FQn53aGDBniUv7rr7+anj17muTk5Hz1f8uWLY52L/7l7qmnnnL6or9x40ZH3bfeesup7hNPPGHq1q3rcTv5CR8kuf1VdM2aNY5yd18yCmtsesvd64C7P0/hg7szm4wxJisry1StWtXjF0hjnL+gNG3a1KU8IyPD9OzZ0+k1JucYio+Pd1ln06ZNjvKGDRu6PR7sX3qGDx/u6WHJU36O/Ro1apjs7GyX8l69ehlJpkWLFgXqQ5kyZRzb8BTw5Ed2drapVauWkWRuu+02t3WysrIcdW6//Xa3dS41fLD/kn/rrbd67Gvz5s2NdOFMsJyOHDliAgMDjSTz1FNPuV138+bNjj66e/6ysrIcAeBjjz3mto3MzExTqVIlI124bXVB7N2719SsWdPt8Xbttdea5557zvzyyy95tpOf8CEyMtLlDA87+5ldrVu3dltemOFDYb+fvPLKKy7lGRkZJiQkxOPnCOBqxZwPAHxKq1attGvXLv33v/91ub3Xr7/+qlGjRqlOnTrq2rWr/vrrL7dtvPvuu5KkKlWqqHXr1m7rVKxYUXFxcS53T7jYf/7zH5dlwcHBjutL//jjD5fyKVOmKDs7WwEBAeratavbduvVq6eqVatKkubNm+dUZr9Gtnr16mrWrJnb9e+///5c+305nDp1Sp9++qmkC/0JCAhwW69Dhw6SpL1792rr1q2F3g9jjN5//31JF+a7qFmzptt6Dz/8sCQpOztbH374Ya5tunverr/+en300UcqV65cvvrXqFEjRUVFSXKdy2HVqlW6/fbbHf9v2rSpY0xePOnkqlWr3N5isyDCw8MVFxfnsrxevXqOf7sb21dqbN5xxx1avny527/rr7/e7TrLli3TuHHj3JYFBASoUaNGkqS1a9fmuX134yE4OFgfffSRx9cY+7jPqU6dOo5/26+Jv1hsbKykC8fL5dCpUyfHbV5zso8Fd+PAG/b5HiTlefcibyxdutRxFxj7sXyxgIAAPfjgg5IuzI+ya9euS95uTjt37nSMF/t23LE/9ytWrHCag2Lu3LnKysqSJD3wwANu123atKnbOUzsli5dqgMHDuTah8DAQMdrxWeffVageQXq1Kmj7du3a9SoUSpfvrxT2R9//KHx48ercePGatOmjX777bd8t3+xxx9/XLt37/Z4R5Qbb7xRkrRx40ZlZmZe8vY8seL9xN2cJ8HBwY62C3qMAUUR4QMAn1OuXDlNnDhRx44d0+eff64ePXqodOnSjnJjjBYuXKgmTZpox44dTuumpKQ4vuA2adIk1+2sXLlSH3/8ca51rr32WrfL7f1JSUlxKbNPKFelShWdP39eJ06ccPsXHR0tSU4TX548eVK7d++WJMeXI3caNGiQa78vh4SEBMeHwBo1anjcz1KlSjnW8XaSz/zYuXOnY3K13O50cO211zq+2Oec9M+dnF/CL5W/v79jwrNt27Y5bh2amJioPXv2OE0gGRAQoFtvvVXShVtw2mea//vvv/XHH38U2i02a9Wq5fYLZ87j7OKxfSXHZoUKFdSuXTu3f57ujFCxYkWnAPPMmTP6559/HOPSPrlnUlJSntsvyHhw99qRsz+eXlvsddxNMGiFgrzGeSNnsJuWllagNnLKGdzldpznLMttMsGCyPm6Ua1aNY+veZGRkZIuvFdt3rzZsU7OSQoLegzl7EPlypU99sF+XKSmpur333/P975KUsmSJfXKK6/o77//1nfffad+/frpmmuucelP8+bNPd6hx1sRERGqUKGC4//nz5/XyZMnHftjf73KzMx03I3DCla8n1h1jAFFUeCV7gAAeBIWFqZu3bqpW7duysrK0rJly/Thhx/qm2++kTFG//zzj3r27On0a/rBgwcdv/JUrFjxkvtw8dkXdsHBwZLk+BUrJ/uvcwcPHnT5xcid5ORkGWPk5+enQ4cOOZbn/CB2MV+4FZ19PyXpqaee0lNPPZXnOpcyA7s3/ahUqVKudStWrKjU1FSnddzJ64yY/Grbtq0WLlwom82mNWvWqEuXLo4P6znPfLD//9tvv1Vqaqo2bdqkli1batWqVU4hxqXKa1xLrmO7KI1N6cIXv9mzZ2vmzJnatGmTzp4967aeN3eWKMh4yBm62eU808FduSTHlyx3ry1WyGss5HWrRU/Kly/vCNpSU1Mdd30pKG+P85xleR3nl9KHu+66y6t1cr7m2e9CY78zhSe5HUM5+3DDDTd43Ye6det6VdedoKAgderUSZ06dZLNZtPatWs1ffp0zZs3T1lZWUpLS9MjjzyiAwcOKDQ0tMDb2b59uyZMmKCVK1fq77//9livoHeD8YYV7ycF+RwBXK0IHwAUCYGBgY4PP2vWrNF//vMfnTt3Tr/88ot27NjhuOXmmTNnHOtcyocgO3e/DufF3ofatWs7Tt/Miz18yPkFKbf+e7rE4XLK+Vi/+uqratWqVZ7r5HY6cWH0I6/n3F6empqaa72CPO+5yXnGwqpVq9SlSxetWrVKdevWdfkin7PuypUrHeFDzss3LlVB9s9Xx6a7X7ezsrLUpUsXffPNNwoKClKfPn100003qUKFCo4A4M033/R4+76LFeTxcndJRX7KL5fCHut2TZo0cVw68ueff+YaWHnD2+M8Z1lex/ml9OHDDz/0eEp+Tjm/9NuPobxep3I7hnL24euvv3acwZOb6667Ls863vL391dcXJzi4uL0/PPP64477lBSUpKSkpK0fPnyfN1WNae5c+eqV69eysrKUsuWLTV8+HBVq1ZNISEhki5cdvncc88V2n54UhTeT4CijPABQJFz2223afDgwRozZowkac+ePY7wIecvDFb+OpKb8PBwnTp1SgEBAWrXrl2+1s35a2hu/S/or5E5Xer9xS8+hTy/+1pY8vOc28tz+9XRCnXr1lXFihV19OhRxxkPq1evVqdOnVzq3nDDDSpbtqz++ecfrVq1Si+99JJWr16tbt26XdY+X+xyjs1L9e677+qbb76RdGFOFXdzNsyZM+dyd6tYadOmjWM+m19//VW33HLLJbV38XHu6WyUnGOzsI/znH24/vrr1bJly3ytbz+G8nqdyu0YytmH5s2bKyYmJl99KEwNGzbUqFGj9MQTT0i68F5ckPAhMTFR/fv3V1ZWlu6++24tWrTIpU5g4OX5ylIU3k+AoowoDoDPGD9+vGJiYnT+/Pk86+b80GeMcfy7Ro0ajl8Zjh49Wvid9ELt2rUlSUeOHHHqmzeqVavm+EU0MTHRY71Tp07l2Zb9w5qnUzov9VdB+35K8jj55+WQsx95Pef28lq1alnaJ3fsE8Dt2bNHCQkJOnjwoMslF9KFX8Ttk0GuX79eu3bt0qFDhwptssmCKsyxabUvvvhC0oXToj1N+gprPfDAA47LB+xBkDf27Nmjzp07q3Pnzk7Hs7fHec7T9Qv7OL/U1zz7mV9paWm5Xuef2zF0OV53P/vsM8XExHh12Yqn9+L8+O677xzzggwaNKhAbRSWovJ+AhRVhA8AfMaZM2d07Ngx7d+/P8+6OX+1r1KliuPf4eHhjlmxt2zZkmsbTzzxhB544IFCP0PC/oXy7Nmzuc4C/tNPPykwMNDpl6IyZcqofv36kqRffvnF47rezOJu/2XQ08R1BZ2EzO6mm25yXLO6cePGXOt26tRJgYGBlkw4Wa9ePcevf7k953/++acjcHH3pd9qOS+n+N///ic/Pz+PczjY66anp2v06NEKCgq65F+OL1Vhjk2rHT9+XFLu12znPL0ahS8iIkJDhgyRdOHyoT179ni13vvvv6+vv/5aBw8edJq3J+cxm9txnnMOoMKaI8VdH/J6zWvQoIGCg4Od5nzIeWeUgh5D3vYhIyNDZcuWVdmyZfN9d4i0tDQdO3bMq7sweHovtvPm8iL78Sp5PmbzOl4L6zKmovJ+AhRVhA8AfM5nn32WZ52lS5dKksqWLetyy7+BAwdKunDmgafb6P3666+aMmWKjh49WihzQ+T0xBNPOK7Z/eijjzzWmz59urKzs/XQQw85Le/Zs6ekCxP8efqyvmDBgjz7Yb+t3/79+92e/fDtt9/m2UZuSpcu7bjd2NKlSz1OJnno0CEtW7ZMtWrVcgRDhcnPz09PPvmkJGnDhg2O29Bd7JNPPpF04Xrqxx9/vND7kZecZy6sWbNGDRs29HjbzpwfZj/99FM1b978kifsKwyFNTatZp9fYN++fW4vLzLGaNu2bZe5V8XPiy++qLi4OGVnZ+upp57Kc2K97du3O25bePFtUu+8807HL8z2Y/li2dnZjvePNm3aFOpda6QLX0ztx+ann37qMbhOSEjQrl27FBcX53R3iB49ejjOSLOfnXOxX375xeNrmOT8ONhvfevO/PnzdfLkSXXp0sXj7Svzkp/34qCgILdnZ9nnpLg4ALn55pvVsWNHSc4T2HoKxfO6TXPOuS9ybmvevHmqW7euvvvuu1zXtysq7ydAUUX4AMDnjB07VkuWLPFYPm/ePE2fPl2SNGrUKJdrQR955BHHL8dPP/20y+UF586dU//+/SVd+AW6sNWsWVMvv/yyJGny5MlOt4izmz9/vqZPn64mTZq43Kt94MCBqlGjhiRp8ODBLrep27Rpk2bMmJFnP+688075+fkpLS3N5Qvh/v37tXDhwnztlztjxozRNddco3Pnzqlv377KyMhwKj99+rR69Oih7OxsjRkzxrJJ9p5//nnVq1dP2dnZGjBggMulOzt27ND48eMlSa+88opXE8UVtipVqjid0pvbbTPr16/v+PXNGHPFL7mwK6yxaTX7pRYnT550+RIrSRMmTCj0OyHAVWBgoL744gs1btzYMW+J/Q4YF/vpp5/UoUMHZWRkaNiwYbrzzjudyv39/TVlyhT5+/tr1apVmjlzpksbr732mv7880+VKFFC7777riX79O6776pEiRI6evSoBg8e7BJuHTt2TL169VJgYKDi4+OdyipWrOiYNHH69OkuZy6kp6dr0KBBjtswu5PzcdiyZYtGjx7tUuf333/X4MGDFR4efknvcbNmzcr1eF69erVjHwcPHuy23/bbTB4+fNixLCkpST/99JPjsevUqZPCwsIkXXhPP3funFMbf/75pyZOnJhrX8uVK+e4dWXOy1HWrl2rvXv35muy3qLwfgIUVUw4CcBnVKxYUUFBQUpPT1enTp0UFxendu3aqWLFijLG6PDhw1q2bJk2bNiggIAAjRgxwnGWQ07+/v5auHChOnfu7PiFuU+fPqpUqZIOHTqkWbNm6fDhw3r11VfVoUMHx3rbt2/X9u3btWHDBscy+6R09913n0qWLKnly5fr2LFjjl/59+/frzlz5qhUqVLq3LmzY71XXnlFqampmjhxou644w716NFDN998s86dO6cff/xRX331la699lotXLjQJTwpUaKEvvnmG91+++3asGGDmjRpot69e6ts2bL65ZdfNHPmTL355puOfd+wYYMCAwNVrVo1p1Pza9Sooaeeekrvvvuu+vTpoy1btqhevXo6cOCAZs2apZkzZzq+1NrbqFmzpm666SZt2LBB+/btc/tY3HTTTY4PW9dcc41WrFihTp066bvvvtP111+vRx991HG98KxZs5SUlKT4+Hh16dIlX+Mhtz7kfE6kC7euW7ZsmTp27Khly5apcePGeuyxx1SuXDnt2LFD06ZN09mzZ/Xf//7XEQzZ5fa8X/y8Xqq2bdvqzz//lJT3qbq33XabPv30U0m5BxX2/u/evdux7KuvvlK5cuV0/fXX6/rrr3eMW/slTceOHXMZtxdPwGgfE7Vq1XLcyaSwxmZu7PuTk/04ky6Mufbt2+faxpNPPqlvv/1Wy5cv1/Dhw7Vu3Tq1a9dOfn5+WrFihZYvX67q1avr4MGDLo/FsWPHtHz5cp04ccLR3vLly3XkyBFJzuPu4j7n9trh6fHNz3OUl6+++kpnzpxxacPeD0n68ssvc+3H/v37tX79erf70r59e6df8r1Rvnx5rV27Vk8//bRmzZql1atX67777lOjRo0UGRmppKQkrV69WsuXL1doaKgmTJigZ5991m1bbdq00SeffKJevXqpT58+WrJkidq2bausrCwtWrRIy5YtU+nSpfXll1863WXC/py622/7eLI//vaxd/bsWbf7Xa9ePX333Xfq0qWLpkyZoi1btujBBx9UZGSk9uzZoxkzZigtLU3Tpk1T8+bNXfbhtdde0+7du/X111/r9ttvV//+/XX99dfr+PHj+uijj9S6dWvVrl0717Macj4OL7/8slatWqV7771XwcHB2r59uz766CMFBQVp/vz5qlatWr6eL+nCcxYWFqa0tDT17dtX7733njp16qSqVasqICBAiYmJWrNmjVasWCFjjB5//HGNHTvWbVtdu3bV8OHDdfjwYT3++ONq0qSJPv74Y9lsNvXu3VvShWN68uTJ6t+/v7Zt26b69eurV69eqlixonbv3q2pU6eqUqVKjnky7K9vOZ8XPz8/PfLII5o8ebJGjx6t9PR0JSYmavr06apfv75atGjhGNvuju2cr3NWvZ/k93MEcFUyAOBDTp48aebOnWueeOIJ07JlS3PNNdeYkJAQExQUZMqWLWtatGhhnn/+ebN79+4827LZbGbOnDnmjjvuMOXLlzeBgYEmOjra3HvvvWbVqlUu9UeMGGEkuf07cOCAMcaYuLg4t+XVqlVz24eEhATTvXt3U7lyZRMcHGzCw8NN8+bNzbhx48zZs2dz7f+xY8fM008/bapWrWqCg4NNdHS0+c9//mNWrlxpjDEufejatatLG9nZ2ebNN9809evXNyEhIaZcuXLmvvvuM9u2bXPbxsMPP2yMMaZnz54eH4uZM2e6bOf06dNmzJgxplmzZiYiIsIEBQWZypUrm+7du5sNGzbkup+e5NaHnM9JThkZGWby5MnmlltuMWXKlDHBwcGmUqVK5qGHHjLr1q1zu53cnndPz2tBff7550aSCQgIMP/++2+udadMmWIkmbCwMJORkeGxXm79HzFihDHGu3HrqY2ePXu6bLMwxmZB9keSiYuL86qdzMxM8/bbb5sbb7zRlChRwgQHB5tq1aqZxx57zGzfvt1lfNkfi9WrV+d73Hnz2lEYz1FeqlWrlms/Dhw4kGc/Zs6c6bHO6tWrve6LO7/++qsZMmSIueGGG0yZMmVMYGCgKVu2rGndurUZNWqUOXz4sFftHDx40DzzzDOmTp06JiwszJQsWdJcd911ZtiwYeb48eMu9XN7Tu3jydPj72m/k5OTzfDhw03Dhg1NyZIlTXBwsKlZs6bp16+f2blzZ679t9lsZsqUKY6xGRkZaVq2bGmmT59ujDHmscceM5JM27ZtvXocYmNjTYkSJUxoaKipW7euGTx4sDl06JBXj6UnZ86cMQsXLjTPPPOMueWWW0zFihVNaGioCQwMNGXKlDGNGzc2Tz31lPn555/zbGv16tWmdevWpkSJEqZUqVKmSZMm5pNPPnGpt27dOtO5c2dTrlw5ExAQYKKiokybNm3Mxx9/bFatWpXn85KWlmb++9//msqVK5ugoCBTpUoV07NnT3P06FFjTO5j293rXGG/nxT0cwRwNfEzpoBT0wIAAAAoVF26dNGXX36pbt266fPPP7/S3QGAQsOcDwAAAMBl8Pfff+d5pyH7XSauu+66y9ElALhsCB8AAACAy+Cdd97RzTff7PYuLNKF6/937twpSbrnnnsuZ9cAwHKEDwAAAMBlcuLECU2aNMlleUZGhgYMGCBjjLp166ZGjRpd/s4BgIW42wUAAABwGdhvN/zss89q5cqVuu222xQVFaW//vpLc+fO1Z9//qlbb71VU6dOvcI9BYDCx4STAAAAwGWQnp6uBQsW6Ntvv9XWrVv1999/Kz09XWXKlFGjRo3Uo0cPPfrooy63YAaAqwHhAwAAAAAAsBSx6lXEZrPp6NGjCg8Pd5zWBwAAAACAVYwxOn36tCpWrCh/f8/TShI+XEWOHj2qKlWqXOluAAAAAACKmcOHD6ty5coeywkfriLh4eGSLjzpERERV7g3uFxsNpuSk5NVvnz5XJNG4EpinMLXMUbh6xij8HWM0eIrNTVVVapUcXwf9YTw4Spiv9QiIiKC8KEYsdlsSk9PV0REBC/08FmMU/g6xih8HWMUvo4xirwu/WdUAAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE+AAAAAAAASxE++IjTp0+rWrVq8vPz08iRI690dwAAAAAAKDTFMnxYunSp2rdvr6ioKJUsWVJNmjTR5MmTZbPZCtReYmKiBgwYoKpVqyokJERVq1bVgAEDdPToUa/bGDp0qP76668CbR8AAAAAAF9W7MKHcePGqWPHjgoNDdXy5cv1yy+/qH379ho0aJA6d+6srKysfLW3a9cuNWzYUF9//bXeeust7dmzR2+99Za++uorXX/99dq1a1eebaxbt07vv/++qlatWtDdAgAAAADAZwVe6Q5cTmvXrtXQoUNVv359LVy4UEFBQZIuBBKnTp3S1KlTNW7cOL300ktetZeVlaWuXbvqn3/+UUJCgm666SZJUo0aNRQTE6PWrVvr/vvv1/bt2xUY6P6hzsjIUL9+/fTAAw8oNDRUs2bNKpydBQAAAADARxSrMx/scykMGjTIETzYDRkyRJL0xhtvKC0tzav25s2bpz179qhFixaO4MHu5ptvVsuWLbV792599tlnHtsYNWqUkpOT9f/+3//Lx54AAAAAAFB0FJvwITk5WWvWrJEktW3b1qU8NjZWlStXVmpqqpYsWeJVm1988YXH9iSpXbt2kuQxfNi2bZvefPNNvfXWW4qOjvZqmwAAAAAAFDXFJnzYvHmzbDabgoKCVKtWLbd16tatK0natGmTV21u3LjRab38tJedna2+ffuqTZs2euyxx7zaHgAAAAAARVGxmfNh3759kqTy5cvL39995lKhQgWnurk5c+aMjh8/LkmKiYnJtb2kpCSdO3dOJUqUcJSNHz9ee/fu1YIFC7zfiYtkZGQoIyPD8f/U1FRJks1mK/CdO1D02Gw2GWN4zuHTGKfwdYxR+DrGKHwdY7T48vY5Lzbhg/2LeVhYmMc69nAgJSXF6/ZyazNn2JCSkuL4/x9//KGRI0dq7Nixql69ep7b8mTMmDEaNWqUy/Lk5GSlp6cXuF0ULTabTSkpKTLGeAzWgCuNcQpfxxiFr2OMwtcxRouv06dPe1Wv2IQPvsIYo379+qlRo0YaNGjQJbU1bNgwPfvss47/p6amqkqVKipfvrwiIiIutasoImw2m/z8/HI9qwe40hin8HWMUfg6xih8HWO0+AoNDfWqXrEJH+xfxnO7k8W5c+ckSZGRkV63l1ub9vZytvnhhx/qp59+0tatWy/5oAwJCVFISIjLcn9/fw74YsbPz4/nHT6PcQpfxxiFr2OMwtcxRosnb5/vYjMq7JNMJicne7wmJTEx0alubkqVKuW4Q0VSUlKu7cXExDguufjss8+UlZWlFi1aqFSpUk5/c+fOlSS9/vrrjmUDBgzIx14CAAAAAOB7is2ZD02bNpW/v78yMzO1b98+XXvttS519uzZI0lq1qyZV202b95c3377rWM9b9qbM2eOxzMlXnzxRS1cuFADBgzQM888I0lcPgEAAAAAKPKKzZkP0dHRiouLkyStXLnSpXzv3r06cuSIwsPD1aFDB6/a7Natm8f2JGnFihVO9SSpUqVKql27ttu/8PBwSVJUVJRjmf3sCgAAAAAAiqpiEz5I0ogRIyRJkydPVlZWllPZhAkTJEnPP/+8010qtm7dqvr166tbt24u63Tv3l116tTRxo0btX79eqey9evX66efflJsbKy6d+9uxe4AAAAAAFAkFKvwIS4uTvHx8dq5c6fuu+8+bd26Vb///ruGDh2qqVOnqlOnTho2bJjTOjNmzNDu3bs1f/58/frrr05lQUFBWrBggaKiotS1a1ctXLhQBw8e1MKFC9W1a1dFRUVp/vz5Cgz0fHXL+fPnlZSUpKSkJMflGGfOnHEsy87OLvwHAgAAAACAy6hYhQ+SNHz4cC1evFhpaWlq06aNGjdurO+//16TJk3SokWLXIKCbt26qVy5crr11lvVoEEDl/auu+46bd++XXfffbcGDx6s2NhYDR48WHfffbe2b9+u6667Ltf+rF+/XhUqVFCFChX0+eefS7pwFoZ92eHDhwtv5wEAAAAAuAL8jDHmSncChSM1NVWRkZFKSUlhospixGaz6fjx44qOjua2RvBZjFP4OsYofB1jFL6OMVp8efs9lFEBAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsVSzDh6VLl6p9+/aKiopSyZIl1aRJE02ePFk2m61A7SUmJmrAgAGqWrWqQkJCVLVqVQ0YMEBHjx71uM6qVavUr18/1a1bV2FhYQoLC1OdOnU0YMAA/f777wXdNQAAAAAAfE6xCx/GjRunjh07KjQ0VMuXL9cvv/yi9u3ba9CgQercubOysrLy1d6uXbvUsGFDff3113rrrbe0Z88evfXWW/rqq690/fXXa9euXS7rPP7442rbtq1+/PFHjRgxQtu2bdP69ev1yCOP6KOPPtL111+vr776qpD2GAAAAACAKyvwSnfgclq7dq2GDh2q+vXra+HChQoKCpJ0IZA4deqUpk6dqnHjxumll17yqr2srCx17dpV//zzjxISEnTTTTdJkmrUqKGYmBi1bt1a999/v7Zv367AwP/voT5+/LgiIiK0atUqVa5c2bG8cePGioqK0qBBg9SzZ0/t379fZcuWLcRHAAAAAACAy69YnfkwcuRISdKgQYMcwYPdkCFDJElvvPGG0tLSvGpv3rx52rNnj1q0aOEIHuxuvvlmtWzZUrt379Znn33msu6dd97pFDzY9e/fX/7+/kpNTdXSpUu96gcAAAAAAL6s2IQPycnJWrNmjSSpbdu2LuWxsbGqXLmyUlNTtWTJEq/a/OKLLzy2J0nt2rWTJJfwYe7cufr444/drhMSEqJy5cpJkk6ePOlVPwAAAAAA8GXFJnzYvHmzbDabgoKCVKtWLbd16tatK0natGmTV21u3LjRaT1v2ytZsqRCQ0PdrpOZmal//vlHktSwYUOv+gEAAAAAgC8rNnM+7Nu3T5JUvnx5+fu7z1wqVKjgVDc3Z86c0fHjxyVJMTExubaXlJSkc+fOqUSJEnm2+/333ys7O1sNGjRQXFxcrnUzMjKUkZHh+H9qaqokyWazFfjOHSh6bDabjDE85/BpjFP4OsYofB1jFL6OMVp8efucF5vwwf7FPCwszGMdeziQkpLidXu5tZkzbEhJSckzfLDZbBo7dqwCAwM1ZcoU+fn55Vp/zJgxGjVqlMvy5ORkpaen57ourh42m00pKSkyxngM1oArjXEKX8cYha9jjMLXMUaLr9OnT3tVr9iED0XB+PHjlZCQoLfffttlAkt3hg0bpmeffdbx/9TUVFWpUkXly5dXRESElV2FD7HZbPLz88v1rB7gSmOcwtcxRuHrGKPwdYzR4svTlAIXKzbhg/3LeG53sjh37pwkKTIy0uv2cmvT3p43bc6bN09Dhw7VqFGjNHjw4Dy3L12YnDIkJMRlub+/Pwd8MePn58fzDp/HOIWvY4zC1zFG4esYo8WTt893sRkV9kkmk5OTPV6TkpiY6FQ3N6VKlVJ0dLSkC3M65NZeTExMrpdcfPHFF+rZs6fi4+P1yiuv5LltAAAAAACKkmITPjRt2lT+/v7KzMz0OKHknj17JEnNmjXzqs3mzZs7rVeQ9j7++GP16NFD48eP17Bhw7zaLgAAAAAARUmxCR+io6Mdd49YuXKlS/nevXt15MgRhYeHq0OHDl612a1bN4/tSdKKFSuc6l3s/fffV58+ffTee+/pmWeecSqbMGGCJkyY4FU/AAAAAADwZcUmfJCkESNGSJImT56srKwspzL7F/3nn3/e6RKJrVu3qn79+urWrZvLOt27d1edOnW0ceNGrV+/3qls/fr1+umnnxQbG6vu3bu79GXixIl65plnNGvWLPXv39+lfMeOHdqxY0fBdhQAAAAAAB9SrMKHuLg4xcfHa+fOnbrvvvu0detW/f777xo6dKimTp2qTp06uVz6MGPGDO3evVvz58/Xr7/+6lQWFBSkBQsWKCoqSl27dtXChQt18OBBLVy4UF27dlVUVJTmz5+vwEDneT3Hjh2rIUOGqESJEnrrrbd04403uvx9++23lj8eAAAAAABcDsXmbhd2w4cPV+PGjTVhwgS1adNGmZmZqlOnjiZNmqSBAwcqICDAqX63bt302WefqX79+mrQoIFLe9ddd522b9/uuEvF8ePHFR0drbvvvlsjRoxQpUqVXNb59NNPJV24NeaWLVus2VEAAAAAAHyEnzHGXOlOoHCkpqYqMjJSKSkpTrcCxdXNZrM5Qi9uawRfxTiFr2OMwtcxRuHrGKPFl7ffQxkVAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUoQPAAAAAADAUvkKH3788UdlZWVZ1RcAAAAAAHAVylf4cPvtt+vUqVNW9QUAAAAAAFyF8hU+GGP06quvauXKlcrMzLSqTwAAAAAA4CqS7zkfDh8+rO7duysqKkr33HOP3nvvPe3fv9+KvgEAAAAAgKtAvsOHKVOm6NixY1q5cqWaNWumuXPnKjY2VrGxsRo8eLCWLl2q9PR0K/oKAAAAAACKoHyFDzNnzlRkZKT8/PzUvHlzvfzyy0pISFBycrJGjx6tM2fOqF+/foqKilLHjh01adIk/f7771b1HQAAAAAAFAH5Ch969uypkJAQl+WlS5dWt27dNH36dB05ckQbN25UmzZt9PXXX6tevXqqVauWBg4cWGidBgAAAAAARUe+L7vIy7///qvdu3dr586d2r17t4wxOnDggD744IPC3hQAAAAAACgCAgujkW3btmnJkiVavHixNm7cqOzsbEkX7o4RGBioVq1aqWPHjoWxKQAAAAAAUMQU6MyH06dPa8GCBerbt68qVaqkpk2b6n//+58SEhKUlZWlmJgY9e7dW1988YVOnDihH374QUOHDi3svhfY0qVL1b59e0VFRalkyZJq0qSJJk+eLJvNVqD2EhMTNWDAAFWtWlUhISGqWrWqBgwYoKNHj+a6XkZGhuLj49WgQQOFhYWpfPny6ty5szZu3FigfgAAAAAA4IvydebDG2+8ocWLF2vDhg3KysqSMeZCIznObujYsaNuuOEGSzpbGMaNG6ehQ4fqrrvu0vLlyxUeHq7p06dr0KBBWrZsmRYuXKjAQO8fll27dunWW29VUFCQJk+erCZNmmjr1q0aOHCg5s+frx9//FH169d3We/MmTNq06aNfvnlF40dO1adO3fW0aNH9cILL+jmm2/Wxx9/rB49ehTmrgMAAAAAcEX4GXuC4AV/f3/5+fnJGKOKFSvqzjvvVMeOHXXHHXcoIiLCyn4WirVr1+rWW29V/fr1tW3bNgUFBTnKHn/8cU2dOlWjR4/WSy+95FV7WVlZatiwofbs2aOEhATddNNNjrKEhAS1bt1a9erV0/bt210CjX79+mn69OmKj4/X8OHDHcv//fdfxcbGKiUlRbt27VLNmjW93r/U1FRFRkYqJSWlSDwfKBw2m03Hjx9XdHS0/P0LfRoXoFAwTuHrGKPwdYxR+DrGaPHl7ffQfI2KJ598UtWrV5ckVatWTTVr1lTNmjWLzBfdkSNHSpIGDRrkFDxI0pAhQyRdOLsjLS3Nq/bmzZunPXv2qEWLFk7BgyTdfPPNatmypXbv3q3PPvvMqezQoUOaOXOmQkJCXO4CUrp0afXp00cZGRkaM2ZMfnYPAAAAAACflK/w4d1339W+ffu0Z88ePfDAA1q7dq1uvvlmVahQQT179tSnn36qkydPWtXXS5KcnKw1a9ZIktq2betSHhsbq8qVKys1NVVLlizxqs0vvvjCY3uS1K5dO0lyCR8WLFggm82mpk2bKjIy0uN6CxYscEzeCQAAAABAUVWg82Hq1KmjwYMHa+nSpTp58qSmTp2q8PBwvfTSS7rmmmt000036bXXXtPmzZsLu78FtnnzZtlsNgUFBalWrVpu69StW1eStGnTJq/atE8MaV/P2/a8Xe/UqVP6888/veoLAAAAAAC+6pJvtRkWFqa77rpLd911lyRp7969WrJkiZYsWaIxY8YoPDzcMTdE9+7dL7nDBbVv3z5JUvny5T1eg1ShQgWnurk5c+aMjh8/LkmKiYnJtb2kpCSdO3dOJUqUcGrf03o5l+/bt0+xsbFu62VkZCgjI8Px/9TUVEkXrrcq6J07UPTYbDYZY3jO4dMYp/B1jFH4OsYofB1jtPjy9jm/5PDhYvYvysYYnT17VuvXr9fcuXM1d+7cKxo+2L+Yh4WFeaxjDwdSUlK8bi+3Nu3t2du0/z+vvgQEBCgkJEQZGRm59mXMmDEaNWqUy/Lk5GSlp6fnuQ+4OthsNqWkpMgYw+Q+8FmMU/g6xih8HWMUvo4xWnydPn3aq3r5Ch9effVVPffcc05fqiXp7NmzWrlypZYuXaqlS5fq0KFDTuVhYWG6/fbb87MpeGHYsGF69tlnHf9PTU1VlSpVVL58+SIzCSgunc1mk5+fX65n9QBXGuMUvo4xCl/HGIWvY4wWX6GhoV7Vy1f4MGrUKD355JMqUaKEfvvtNy1dulRLlixRQkKCMjMzJV0440GS6tWrpw4dOqhjx4669dZbFRwcnM9dKFz2L+O53cni3LlzkuR2EkhP7eXWpr29i9vMqy/Z2dmOyyly60tISIhCQkJclvv7+3PAFzN+fn487/B5jFP4OsYofB1jFL6OMVo8eft85yt8MMbomWeeUUJCgv7++2/HMkkKDw9XmzZt1LFjR3Xo0EFVq1bNZ5etZZ9kMjk5WTabze0DlJiY6FQ3N6VKlVJ0dLSOHz+upKQkt3Xs7cXExDidLVKrVi1t2bLF43o5l3vTFwAAAAAAfFm+53z4/PPPHYHD9ddfrw4dOqhDhw5q3bq1AgMLfQqJQtO0aVP5+/srMzNT+/bt07XXXutSZ8+ePZKkZs2aedVm8+bN9e233zrW87a95s2b6/PPP89zvdKlS6t27dpe9QUAAAAAAF+V7/Nh7r33Xk2fPl1///23tm3bprFjx+q2227z6eBBkqKjoxUXFydJWrlypUv53r17deTIEYWHh6tDhw5etdmtWzeP7UnSihUrnOrZde3aVf7+/tqyZYvbCSXt63Xp0kUBAQFe9QUAAAAAAF+V7/Dhgw8+UO/evR23kfRGamqq+vTpk99NFboRI0ZIkiZPnqysrCynsgkTJkiSnn/+eadLJLZu3ar69eurW7duLut0795dderU0caNG7V+/XqnsvXr1+unn35SbGysy10+qlevrp49eyojI0PvvfeeU9m///6rGTNmKDg4WMOHD7+0HQYAAAAAwAfkK3yYOXOm0wSIAQEBOn78eJ7rpaWladasWfnvXSGLi4tTfHy8du7cqfvuu09bt27V77//rqFDh2rq1Knq1KmThg0b5rTOjBkztHv3bs2fP1+//vqrU1lQUJAWLFigqKgode3aVQsXLtTBgwe1cOFCde3aVVFRUZo/f77bs0ImTZqkpk2b6pVXXtGECRO0f/9+JSQkqGPHjjpx4oSmTZvGfA8AAAAAgKtCvsKHnj17Ot1dwT73Q25OnDihAQMG5L9nFhk+fLgWL16stLQ0tWnTRo0bN9b333+vSZMmadGiRS5BQbdu3VSuXDndeuutatCggUt71113nbZv3667775bgwcPVmxsrAYPHqy7775b27dv13XXXee2H+Hh4Vq3bp1eeeUVTZs2TfXr19c999yj8uXLa926dXr00Uct2X8AAAAAAC43P+NNguCBv7+/Bg0apEmTJrkt//rrr/XEE0/o+PHj8vPzU3Z2doE7irylpqYqMjJSKSkpTrcCxdXNZrPp+PHjio6O5rZG8FmMU/g6xih8HWMUvo4xWnx5+z30kkfFvHnz9NxzzzktO336tHr16qUuXbro+PHjatmy5aVuBgAAAAAAFFGXHD58+eWX+vTTTzV06FBJF+78cN1112n27NkqWbKkPvzwQy1cuNCrSzQAAAAAAMDV55Luj7l69Wq1aNFCK1eu1G233aaEhARt2LBBNptNt912m2bMmKHq1avLZrPpwIEDhdVnAAAAAABQhFzSmQ9xcXEKDAxUbGysVqxYoT179iggIEDvvPOOVq1aperVq0uSzp8/rx9++KEw+gsAAAAAAIqYQpsJpEGDBlq5cqXCw8N17tw5p7KUlBT17t27sDYFAAAAAACKEK8vu3j11Ve9qte6dWsNHTpUhw4dUnR0tCTpzJkzBesdAAAAAAAo8rwOH0aOHCk/P79cJ47MWf7ee+85LfPz87vErgIAAAAAgKIoXxNOPvvssypVqlS+N3L69Gm99dZb+V4PAAAAAAAUffkKH55//nnHpRT5kZSUpIkTJ+Z7PQAAAAAAUPR5PeHkzJkzFRkZWaCNlC1bVqtXry7QugAAAAAAoGjz+syHnj17FngjQUFBiouLK/D6AAAAAACg6Cq0W20CAAAAAAC4Q/gAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsRfgAAAAAAAAsVazCh4yMDMXHx6tBgwYKCwtT+fLl1blzZ23cuPGS2l26dKnat2+vqKgolSxZUk2aNNHkyZNls9nc1j99+rQ+/PBDderUSTExMQoKClLp0qXVqlUrTZw4Uenp6ZfUHwAAAAAAfEmxCR/OnDmjW265RSNHjlSfPn3022+/aeHChTp27JhuvvlmffLJJwVqd9y4cerYsaNCQ0O1fPly/fLLL2rfvr0GDRqkzp07Kysry6n+2bNnVa1aNQ0YMECRkZH6/PPPtXfvXn355ZeKiIjQkCFD1Lx5cx0/frwwdhsAAAAAgCvOzxhjrnQnLod+/fpp+vTpio+P1/Dhwx3L//33X8XGxiolJUW7du1SzZo1vW5z7dq1uvXWW1W/fn1t27ZNQUFBjrLHH39cU6dO1ejRo/XSSy85ba9MmTLq0qWLFixY4NSezWZTq1at9PPPP6tHjx6aO3duvvYxNTVVkZGRSklJUURERL7WRdFls9l0/PhxRUdHy9+/2OSJKGIYp/B1jFH4OsYofB1jtPjy9ntosRgVhw4d0syZMxUSEqKBAwc6lZUuXVp9+vRRRkaGxowZk692R44cKUkaNGiQU/AgSUOGDJEkvfHGG0pLS3NZt2/fvi7L/P391a9fP0nSwoULlZ2dna/+AAAAAADgi4pF+LBgwQLZbDY1bdpUkZGRLuXt2rVz1PP2C39ycrLWrFkjSWrbtq1LeWxsrCpXrqzU1FQtWbLEsTwyMlKnTp1Shw4d3LZbuXJlSVJ6errOnTvnVV8AAAAAAPBlxSJ8sE8oWbduXbfl9uWnTp3Sn3/+6VWbmzdvls1mU1BQkGrVqpVru5s2bXIs8/PzU+nSpT2eipSYmChJqlatmsLDw73qCwAAAAAAvizwSnfgcti3b58kKSYmxm15zuX79u1TbGys122WL1/eY5BQoUIFp7reWLx4sSS5XB7iTkZGhjIyMhz/T01NlXTheitPd9rA1cdms8kYw3MOn8Y4ha9jjMLXMUbh6xijxZe3z3mxCB/sX8rDwsLclgcEBCgkJEQZGRlKSUkplDYlqUSJEpLkdZs7d+7UokWL1LhxYz3zzDN51h8zZoxGjRrlsjw5OZnbdRYjNptNKSkpMsYwuQ98FuMUvo4xCl/HGIWvY4wWX6dPn/aqns+HDy+88IIWLVqU7/WmTZum1q1bW9Aja6Slpemxxx5T6dKl9fnnnyskJCTPdYYNG6Znn33W8f/U1FRVqVJF5cuX524XxYjNZpOfn1+uZ+EAVxrjFL6OMQpfxxiFr2OMFl+hoaFe1fP58OHo0aPau3dvvtc7c+aM49/2L+Lu7johSdnZ2Y7LF9xNSOlOXm1KckwYmVebWVlZeuCBB3TgwAGtXr1atWvX9qoPISEhbkMKf39/Dvhixs/Pj+cdPo9xCl/HGIWvY4zC1zFGiydvn2+fHxVz5syRMSbffznvJmGfEDIpKcntNnIu9zR55MXs9ZKTkz1e42KfPDK3NjMzM9WjRw/9/PPPWr16tW644Qavtg8AAAAAQFHh8+FDYWjevLkkac+ePW7L7ctLly7t9VkHTZs2lb+/vzIzMz1OKGlvt1mzZm7L09PT1aVLFyUkJOiHH34geAAAAAAAXJWKRfjQtWtX+fv7a8uWLW4nf1yxYoUkqUuXLgoICPCqzejoaMXFxUmSVq5c6VK+d+9eHTlyROHh4U5nYdidO3dOd911l3bs2KG1a9e63Aa0Q4cO2r59u1d9AQAAAADAlxWL8KF69erq2bOnMjIy9N577zmV/fvvv5oxY4aCg4M1fPhwl3Xj4+NVo0YNffzxxy5lI0aMkCRNnjxZWVlZTmUTJkyQJD3//POOu17Ypaam6s4779Rff/2ltWvXqmbNmi5tf//99zp58mT+dhQAAAAAAB/k8xNOFpZJkyZp+/bteuWVVxQcHKz77rtPiYmJeu6553TixAl99NFHbudmGDNmjM6ePas333xTjz32mFNZXFyc4uPj9dJLL+m+++7TqFGjVKpUKc2YMUNTp05Vp06dNGzYMKd1Tp8+rXbt2mnTpk2qWbOm7rvvPkv3GwAAAACAK63YhA/h4eFat26d3nzzTU2bNk0vvfSSSpYsqZtvvlnr1q1Tq1at3K7Xr18/TZ8+XX369HFbPnz4cDVu3FgTJkxQmzZtlJmZqTp16mjSpEkaOHCgy2Uc+/bt06ZNmyRJ+/fvL9ydBAAAAADAB/kZY8yV7gQKR2pqqiIjI5WSkuK4FSiufjabTcePH1d0dDS3NYLPYpzC1zFG4esYo/B1jNHiy9vvoYwKAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHAAAAAABgKcIHH7Fo0SL5+fnJz89PBw8evNLdAQAAAACg0BSr8CEjI0Px8fFq0KCBwsLCVL58eXXu3FkbN268pHaXLl2q9u3bKyoqSiVLllSTJk00efJk2Ww2r9ZPSUnRk08+eUl9AAAAAADAVxWb8OHMmTO65ZZbNHLkSPXp00e//fabFi5cqGPHjunmm2/WJ598UqB2x40bp44dOyo0NFTLly/XL7/8ovbt22vQoEHq3LmzsrKy8mzjueeeU2BgYIG2DwAAAACArys24cP//d//adOmTRo1apSGDBmiWrVq6ZZbbtGSJUtUtmxZ9enTR/v3789Xm2vXrtXQoUNVv359LVy4UE2bNlWdOnU0btw49e/fX998843GjRuXaxurV6/W9OnT9eGHH17K7gEAAAAA4LOKRfhw6NAhzZw5UyEhIRo4cKBTWenSpdWnTx9lZGRozJgx+Wp35MiRkqRBgwYpKCjIqWzIkCGSpDfeeENpaWlu109LS1P//v318MMPq0OHDvnaNgAAAAAARUWxCB8WLFggm82mpk2bKjIy0qW8Xbt2jnrZ2dletZmcnKw1a9ZIktq2betSHhsbq8qVKys1NVVLlixx28bLL7+s1NRUvf32297tCAAAAAAARVCxCB/sE0rWrVvXbbl9+alTp/Tnn3961ebmzZtls9kUFBSkWrVq5drupk2b3K7/9ttva9KkSSpbtqxX2wQAAAAAoCgqFrMc7tu3T5IUExPjtjzn8n379ik2NtbrNsuXLy9/f/cZToUKFZzq2mVmZqpv377q0KGDunfvnvcOeJCRkaGMjAzH/1NTUyVJNpvN6zttoOiz2WwyxvCcw6cxTuHrGKPwdYxR+DrGaPHl7XNeLMIH+5fysLAwt+UBAQEKCQlRRkaGUlJSCqVNSSpRooQkubQ5duxYHThwQN9++61X2/JkzJgxGjVqlMvy5ORkpaenX1LbKDpsNptSUlJkjPEYhAFXGuMUvo4xCl/HGIWvY4wWX6dPn/aqns+HDy+88IIWLVqU7/WmTZum1q1bW9CjS7N7927Fx8dr4sSJqlKlyiW1NWzYMD377LOO/6empqpKlSoqX768IiIiLrWrKCJsNpv8/PxyPQsHuNIYp/B1jFH4OsYofB1jtPgKDQ31qp7Phw9Hjx7V3r17873emTNnHP+2fxH3dNeJ7Oxsx+UL7iakdCevNiXp3LlzTm3abDb17dtXzZo105NPPunVdnITEhKikJAQl+X+/v4c8MWMn58fzzt8HuMUvo4xCl/HGIWvY4wWT94+3z4/KubMmSNjTL7/ct660j4hZFJSkttt5FzuafLIi9nrJScne7zGJTEx0anu4cOHtWHDBv38888KDw9XqVKlnP7sGjRo4Fi2du1ar/oDAAAAAICv8vkzHwpD8+bN9fnnn2vPnj1uy+3LS5curdq1a3vVZtOmTeXv76/MzEzt27dP1157rcd2mzVrJkmqVKmS/vjjD49t2ttYvHixKlWq5FgHAAAAAICirFiED127dtULL7ygLVu2KCUlxeXSihUrVkiSunTpooCAAK/ajI6OVlxcnFavXq2VK1e6hA979+7VkSNHFB4e7jgLIzAw0Ktwo1q1aqpevbpX/QAAAAAAwNf5/GUXhaF69erq2bOnMjIy9N577zmV/fvvv5oxY4aCg4M1fPhwl3Xj4+NVo0YNffzxxy5lI0aMkCRNnjxZWVlZTmUTJkyQJD3//POOu14AAAAAAFAcFYvwQZImTZqkpk2b6pVXXtGECRO0f/9+JSQkqGPHjjpx4oSmTZvmdr6HMWPG6ODBg3rzzTddyuLi4hQfH6+dO3fqvvvu09atW/X7779r6NChmjp1qjp16qRhw4bl2q+UlBQlJSU5zTuRnJyspKQknTx58tJ3HAAAAACAK6zYhA/h4eFat26dXnnlFU2bNk3169fXPffco/Lly2vdunV69NFH3a7Xr18/lSpVSn369HFbPnz4cC1evFhpaWlq06aNGjdurO+//16TJk3SokWLFBiY+5UtgwcPVoUKFVShQgXHsubNm6tChQrq0qVLwXcYAAAAAAAf4WeMMVe6EygcqampioyMVEpKiuNWoLj62Ww2HT9+XNHR0dzWCD6LcQpfxxiFr2OMwtcxRosvb7+HMioAAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClCB8AAAAAAIClAq90B1B4jDGSpNTU1CvcE1xONptNp0+fVmhoqPz9yRPhmxin8HWMUfg6xih8HWO0+LJ//7R/H/WE8OEqcvr0aUlSlSpVrnBPAAAAAADFyenTpxUZGemx3M/kFU+gyLDZbDp69KjCw8Pl5+d3pbuDyyQ1NVVVqlTR4cOHFRERcaW7A7jFOIWvY4zC1zFG4esYo8WXMUanT59WxYoVcz3rhTMfriL+/v6qXLnyle4GrpCIiAhe6OHzGKfwdYxR+DrGKHwdY7R4yu2MBzsuxgEAAAAAAJYifAAAAAAAAJYifACKuJCQEI0YMUIhISFXuiuAR4xT+DrGKHwdYxS+jjGKvDDhJAAAAAAAsBRnPgAAAAAAAEsRPgAAAAAAAEsRPgAAAAAAAEsRPgDIl0WLFsnPz09+fn46ePDgle4OAAAArhKnT59WtWrV5Ofnp5EjR17p7qCQET4APigjI0Px8fFq0KCBwsLCVL58eXXu3FkbN268pHaXLl2q9u3bKyoqSiVLllSTJk00efJk2Ww2r9ZPSUnRk08+eUl9wNXBV8bo6dOn9eGHH6pTp06KiYlRUFCQSpcurVatWmnixIlKT0+/pP7Ad13q69nFEhMTNWDAAFWtWlUhISGqWrWqBgwYoKNHj+a6nlXHAoo+Xxijq1atUr9+/VS3bl2FhYUpLCxMderU0YABA/T7778XdNdwlfCFMXqxoUOH6q+//irQ9lEEGAA+5fTp06ZZs2YmMDDQjB8/3vz555/mxx9/NC1btjQBAQFm7ty5BWp37NixRpK56667zObNm83evXvNCy+8YCSZu+++22RmZubZRr9+/UzVqlWNJCPJHDhwoEB9QdHmK2P0zJkzpkyZMkaSeeihh8wPP/xg9u3bZ1atWmXuuOMOI8k0bNjQHDt2rDB2Gz6kMF7Pctq5c6cpW7asiYmJMfPnzzf79+838+fPN9dcc40pW7as2blzp9v1rDoWUPT5whjt37+/kWSuvfZa88knn5g9e/aYrVu3mlGjRpmQkBATEhJivvzyy0LaYxQ1vjBGL7Z27Vrj5+fn+Kw5YsSIAu4dfBXhA+Bj+vbtaySZ+Ph4p+WnTp0y0dHRJiQkxOzbty9fbf74449Gkqlfv745f/68U5n9w8no0aNzbWPVqlXGz8/PLFmyhPChmPOVMXrq1CkjyXTp0sWlvezsbNO8eXMjyfTo0SNffYFvK4zXs5wyMzNN3bp1jSSTkJDgVLZu3TojydSrV8/tB3ErjgUUfb4yRu+9914TERFhDh8+7NLmO++8YySZiIgIc+LEiXzsHa4GvjJGc0pPTzexsbHmwQcfND179iR8uEoRPgA+5ODBg8bf39+EhISYf//916V86NChRpLp169fvtpt06aNkWTef/99l7I9e/Y4PoCcO3fO7frnzp0ztWrVMo888ogxxhA+FGO+NEbt4cN3333nts0pU6YYSSY0NNRkZWXlqz/wXZf6enaxjz/+2EgyLVq0cFvesmVLI8nMmTPHablVxwKKPl8Zo/fee6/p1q2b23XS09ONv7+/2/Vw9fOVMZrTsGHDTFRUlDl27Bjhw1WMOR8AH7JgwQLZbDY1bdpUkZGRLuXt2rVz1MvOzvaqzeTkZK1Zs0aS1LZtW5fy2NhYVa5cWampqVqyZInbNl5++WWlpqbq7bff9m5HcNXypTEaGRmpU6dOqUOHDm7brVy5siQpPT1d586d86ov8G2F8Xp2sS+++MJje9L/N6Y/++wzp+VWHAso+nxpjM6dO1cff/yx23VCQkJUrlw5SdLJkye96geuDr40Ru22bdumN998U2+99Zaio6O92iaKJsIHwIfYJyirW7eu23L78lOnTunPP//0qs3NmzfLZrMpKChItWrVyrXdTZs2uV3/7bff1qRJk1S2bFmvtomrly+NUT8/P5UuXVr+/u7fyhITEyVJ1apVU3h4uFd9gW+71Nczd7wd0xe3Z8WxgKLPl8ZoyZIlFRoa6nadzMxM/fPPP5Kkhg0betUPXB18aYxKUnZ2tvr27as2bdroscce82p7KLoIHwAfsm/fPklSTEyM2/Kcy+11vW2zfPnyHr+kVahQwW2bmZmZ6tu3rzp06KDu3bt7tT1c3XxtjOZm8eLFkqSBAwd6vQ58W2GPlTNnzuj48eOSPI9pe3tJSUlOZ9BYcSyg6POlMZqb77//XtnZ2WrQoIHi4uK8WgdXB18bo+PHj9fevXv14YcfercDKNIIHwAfkpqaKkkKCwtzWx4QEKCQkBBJF257WRhtSlKJEiXctjl27FgdOHBA77//vlfbwtXP18aoJzt37tSiRYvUuHFjPfPMM16tA99X2GPF3l5ubdrbu7hNK44FFH2+NEY9sdlsGjt2rAIDAzVlyhT5+fnluQ6uHr40Rv/44w+NHDlS8fHxql69ep7bQtEXeKU7AFwtXnjhBS1atCjf602bNk2tW7e2oEeXZvfu3YqPj9fEiRNVpUqVK90dFIKrbYx6kpaWpscee0ylS5fW559/7vgCCAC48EtzQkKC3n77bd10001Xujsopowx6tevnxo1aqRBgwZd6e7gMiF8AArJ0aNHtXfv3nyvd+bMGce/IyIiJF348uROdna2MjIyJMntBGfu5NWmJMcpcPY2bTab+vbtq2bNmunJJ5/0ajvwfVfTGPUkKytLDzzwgA4cOKDVq1erdu3aXvUBRUNhjpWc7eXWZs5ThHO2acWxgKLPl8aoO/PmzdPQoUM1atQoDR48OM/t4+rjK2P0ww8/1E8//aStW7d6vPwDVx+eaaCQzJkzR+bC7Wvz9Zdzpn77xD9JSUlut5FzuadJgi5mr5ecnCybzea2jn1iPnvdw4cPa8OGDfr5558VHh6uUqVKOf3ZNWjQwLFs7dq1XvUHV87VNEbdyczMVI8ePfTzzz9r9erVuuGGG7zaPoqOwhordqVKlXLMrO5pTNvbi4mJcTp12IpjAUWfL43Ri33xxRfq2bOn4uPj9corr+S5bVydfGWMfvbZZ8rKylKLFi1cPmfOnTtXkvT66687lg0YMCAfewlfRfgA+JDmzZtLkvbs2eO23L68dOnSXv+i27RpU/n7+yszM9PjxEH2dps1ayZJqlSpkv744w/t3LlT27Ztc/mzW7x4sWPZjTfe6FV/ULT5yhi9WHp6urp06aKEhAT98MMPBA9XqcIYKxfzdkxf3J4VxwKKPl8aozl9/PHH6tGjh8aPH69hw4Z5tV1cnXxljM6ZM0d79+51+znznnvukSQNGDDAsezVV1/1bgfh0wgfAB/StWtX+fv7a8uWLW4n+VmxYoUkqUuXLgoICPCqzejoaMdM1itXrnQp37t3r44cOaLw8HDHL9yBgYGqXbu2xz+7atWqOZblNnERrh6+MkZzOnfunO666y7t2LFDa9eudbnVV4cOHbR9+3av+gLfdqljxZ1u3bp5bE/6/8a0vZ6dFccCij5fGqN277//vvr06aP33nvPZQLeCRMmaMKECV71A1cHXxmjlSpV8vg503577KioKMcy+9kVKOIMAJ/Su3dvI8m8/vrrTstPnTploqOjTXBwsPnzzz9d1hs9erSpXr26mTVrlkvZmjVrjCTToEEDk5mZ6VTWv39/I8m8+uqrXvdRkpFkDhw44PU6uHr40hhNSUkxrVu3Ntdee63566+/3PZXklm9enU+9hC+rCBjZcuWLaZevXrm/vvvd1nn/Pnzpk6dOkaSSUhIcCpLSEgwkkxsbKzLesYU/FjA1c2XxuiECRNMYGCgmTNnjtu+9uzZ0/Ts2bMAe4mizJfGqDs9e/Y0ksyIESPyv3PwaYQPgI9JTU01TZs2NYGBgWb8+PFm3759Zt26daZly5bG39/ffPzxx27XK1mypJFkrrvuOrfl8fHxRpK56667zJYtW8zevXvNiy++aCSZTp065fmG8O+//5rExESTmJjoCB9+/vlnk5iYaP75559L3m8UHb4yRlNTU02zZs2MJFOzZk3TtGlTt3+ED1ef/I6VgQMHOl63Nm/e7NLejh07TFRUlImJiTELFiwwBw4cMAsWLDAxMTEmKirK7Nixw20/Cnos4OrnC2N0zJgxRpKJiIjw+PpYtmxZwodiyhfGaE4ZGRmOz5kPPPCAkWSGDBniWJaVlVWo+48rg/AB8EFpaWnm1VdfNXXr1jUhISEmKirK3H333Wb9+vUe1xk8eLApVaqUmThxosc6ixcvNm3btjWRkZGmRIkSplGjRmbSpElevaDbU2h3f3FxcQXZTRRhvjBGf/nlF49j8uI/woerT37Gypo1a0y5cuXMrbfeatLS0ty2d+TIEdO/f39TuXJlExwcbCpXrmz69+9vjhw5kms/CnIsoHi40mP0hhtu8Or1kfCh+LrSYzSn1atX5zpOOdv26uBnjDEFuFoDAAAAAADAK0w4CQAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AAAAAAAALEX4AABAETV69Gj5+fk5/j766KMr0o/09HSnflSvXr1Q2h05cqRP7B8AALh0hA8AAFjg5MmTGjlypJo1a6bIyEgFBwerQoUKatKkiR599FF9+OGH2rNnzyVt47///a8SExP1wAMPFFKvCyY0NFSJiYn6+eefC7Xd5557Ls/9i4+PV1RUlFatWlWo2y5MBw8edApRcv6tWbPGqe7FgUthBzreWrFihaKiojRmzJjLul0AwNWL8AEAgEK2a9cuNWjQQBMnTtTdd9+tFStWaN++fVq1apX+7//+T5s3b9aAAQN0//33X9J2SpYsqZiYGIWFhRVSzwsuJiZG5cuXL9Q2S5Uqlef+ffLJJzp16pQWLlxYqNsuTFWqVHEJZ37++WclJibqpptucqprD1yGDBkiSWrVqpUSExO1adOmy9rnL7/8UqdOndLcuXMv63YBAFevwCvdAQAArjb9+/dXUlKSPv30Uz344INOZfXq1dMdd9yhxo0bX6HeXV2ef/55ffDBB+rdu/eV7opHAQEBiomJUXp6umNZ+fLlFRMT41K3VKlSjj9JCg4OdlvPan369NGWLVv0xBNPXPZtAwCuToQPAAAUopSUFK1fv16S1LFjR7d1YmJi9OCDD2rFihWXs2tXpV69eqlXr15XuhtXnaZNm+qnn3660t0AAFxFuOwCAIBCZLPZHP/++++/PdZ7+eWXtWDBArdl586d0+uvv65GjRqpZMmSCgsLU926ddW7d28tXrzYaRsXW7dunW6//XaFh4crIiJCd911l/bu3eux/sGDB/X444+rWrVqCg4OVvny5dWpUyd9//33Htf59ddfde+996pMmTIqWbKkbrzxRs2aNctj/XLlynmcu6BXr15OcxscPHjQYzs5rVmzxmm9nAHEunXrXMqOHDmiHj16qFy5cgoLC9ONN96oxYsX5/q4PPLII4qOjlZoaKjq1Kmjl19+WefOnbuiczHkdPLkSQ0bNkz169dXWFiYIiMjdfPNN2vatGnKzs52qtuvXz+XuSaWLFmiuLg4RUZGOi3Pbf88zUmR8y86Otqlr0eOHNHTTz+tWrVqKTQ0VFFRUWrXrp3bY6Bdu3YuY2L69Om6/vrrFRoaqmuuuUZPPPGETp8+XaiPJwDAWoQPAAAUojJlyqhixYqSpCeffFLHjh1zW69s2bKKjY11WX78+HG1atVKI0eO1IMPPqhffvlFW7Zs0cCBA7Vw4UL95z//0TfffOO2zR9//FGjR4/WuHHjtGXLFr388staunSp2rZtqzNnzrjUX7dunRo1aqSvvvpKr7/+unbu3Kl58+bp1KlT6tChg8aNG+eyzpo1a9SqVSutXbtWb731lnbu3KkPPvhA3333nUaPHu22X7t27fI4GeWkSZOUmJioypUruy335KabblJiYqLefvttl7IWLVo4lZ04cUIPPfSQHn74YW3atEmzZ8/WgQMHdM8992jz5s1u+3vjjTdq/vz5Gj58uHbt2qUFCxbo5MmT+s9//uOodyXmYrD7448/1LhxY02ePFlPP/20du7cqbVr16pRo0bq37+/7rnnHp0/f95Rf+LEiUpMTFSrVq0kSZ999pnGjx+v+Ph4bdu2Ta+99pqjbl6Thz7wwANKTEx0+tu7d6/j8hD7fBV2GzZs0PXXX6/58+frtdde0549e/T999+rTJkyuv/++/X444871f/iiy+cxsSYMWO0fft2ffbZZ/rpp590xx13aMqUKXr00Ucv7UEEAFxeBgAAFKoPPvjASDKSTFhYmHn44YfNggULTGpqap7rduzY0Ugyb7zxhkvZJ598YiSZL7/80ml5z549jSRTpkwZc+bMGaeyLl26GElm9uzZTstPnTplrrnmGiPJbNiwwaksLS3NVKhQwfj7+5uff/7ZsfzcuXOmUqVKRpL5+uuvndbJzs42jRs3NpJMtWrVXPp+4MABj2XGGFOtWjUjyRw4cMClzL5/M2fOdCmbOXOmkWR69uzpsUySSUhIcCqbNGmSkWT69u3rsl6TJk2MJDNp0iSXsnvvvdfRZn7ZHwNP+5nTiBEjjCQTFxfnUpaVlWUaNmxoJJl58+a5lD/88MNGknn++eddyuLi4owkU6lSJZOWluZUVqdOHcfj5On5GjFihNvHunv37kaSadeunbHZbI7l//77r6lQoYKRZNavX++0TnZ2trnllluMJPPuu++6tGkfE+3bt3danpmZacqXL28kmb/++stlPQCAb+LMBwAACtkTTzyhd999V1FRUUpLS9PcuXPVtWtXlS1bVm3atNF7772n1NRUl/W2bt2qJUuWKCgoSAMGDHApv//++1WxYkUFBQW53e4DDzygkiVLOi1r0aKFJGnbtm1Oy6dPn65jx46pVatWatmypVNZaGioevXqJZvNpvfee8+xfP78+fr7779VqVIl3XPPPU7r+Pv7a+DAgZ4flCsoNjbW5a4Snh6XtWvXauvWrQoODlbfvn1d2ho0aFCh9KlBgwZOk0te/Pf66697XPfrr7/Wjh07HHOHXOy///2vJOmdd97RqVOn3LbRv39/hYaGOi3bu3evy+N0sccff1wjR450WjZz5kzNmzdP5cuX1+zZs+Xn5+comz59uhITE9W8eXPHWRd2/v7+Gjx4sCRp9OjRHi8n6tOnj9P/AwMD1bRpU0kXLgECABQNhA8AAFjgqaee0uHDhzVnzhzdf//9Kl26tDIzM7V69WoNHDhQtWrVcrl8YtmyZZKkunXrKjw83KXNoKAg/f33306n/udUu3Ztl2VRUVGS5PIl1L6tG2+80W1bNWvWlCQlJCQ4lv3www+S5Pjid7F69eq5XX6l5edxse9j3bp1XYIcqfD2cfHixdq2bZvHP3fhk13O5y7nF327Ro0aKTg4WOnp6frxxx/dtlHQ/ahYsaLTPBC///67Bg0aJD8/P3300Ucud+aw97V58+Zu27MvT0xM1I4dO9zWyc/zBwDwXdztAgAAi5QoUUIPP/ywHn74YWVnZyshIUGffvqpZs2a5ZiHYNeuXapWrZok6dChQ5Iu3IaxIMqWLeuyLDDwwlv9xRMQ/vXXX5KkDz/8UDNmzHBZz14/56SZR44cybV/V+KWkN5w97jYzx65+HG5XPtYrVq1XCertH+5dsc+TtxN7ChduLVn2bJllZiY6Kh7sYKOsZzOnz+vhx56SGfPntX//d//qVOnTvnu6zXXXONU94YbbnCpk5/nDwDguwgfAAC4DAICAnTrrbfq1ltv1XPPPacbb7xRp06d0rx58zR06NBC2Ya7X8HzMnDgQD311FP5atMYk+/t5MWKNu0K8rhY2R9fUJDH5GIvvPCCfvnlFzVu3Njt5KSFpTD6CgC48rjsAgCAQvb6669r48aNHstr1qyphx56SJKcbi1pPwMiOTnZ0v7l3JYxRrVr1/b4V6tWLcc69rsPeOpfUlKSx+0FBARI8vxL9YkTJwq0H4XtUvbxcrE/d57upJKdna1//vnHqW5h++677zRp0iSVLFlSn376qYKDgwvU15zLreorAMA3ED4AAFDIpkyZosWLF+daxz7ZX87T3++44w5J0p49e3T69GmXddLS0tShQwdNmTLlkvto35anWyoaY9S+fXs999xzjmVxcXGSpC1btrhdZ/fu3R63FxkZKcn9NfqJiYk6d+6cdx23mH0f9+7d6/b2pLnt4+Vif+42bdrkdpLGbdu26fz58woNDdWtt95a6Ns/evSoevXqJenCpJZ16tRxKv/oo48cj529r57COPv4q1Chgho2bFjofQUA+A7CBwAALPDxxx8rJSXFbdmZM2f05Zdfys/PT/fdd59jeZMmTdSxY0dlZmbqgw8+cFnvo48+0vfff6/GjRtfcv/69u2rmJgYbdiwQevXr3cpnzt3rlasWKHbbrvNsez+++9XpUqVdPToUS1atMipvs1m07vvvutxexEREapRo4bOnj2rPXv2OJW5m3PiSrnlllvUpEkTnT9/3m2/3nnnnSvQK2f33nuvrrvuOh0/flzz5s1zKX/rrbckSU8//bTKlClTqNu22Wx69NFHHXOW9O7d26VO7969HWey2MfZ5s2btW7dOpe2Jk2aJEl66aWX5O/Px1IAuJrxKg8AQCHz8/PTwYMH1bJlS82cOVO7du3SkSNHtHXrVk2ZMkU33nijDh48qJEjR6pJkyZO63700Udq2LChXnrpJY0bN05//PGHdu3apTfffFPPPvusXnzxRTVr1kzShTMhkpKSlJaWJklKSUlRUlKSsrOzlZ2draSkJEcAcnHdyMhILVy4UJGRkbr33ns1ffp07d+/X7/99ptef/119e/fX4MGDdJdd93l6FtYWJjmzJmjsLAw9erVS7NmzdKhQ4e0ZcsWPfTQQ4qIiJAkx7ZPnjzptG/2uSV69eqlhIQEHTx4UO+//762bt2qqlWrSrpwuYP90oYzZ8643b+0tDSdP3/e7f6dOXMmz31PTk52XFZxcV1Jmj17tsqWLasXX3xRkyZNcjwuTz/9dK4TQXpi30bOSzns+3n+/HmnuvZ9tp85YN/PnOsGBARowYIFqlKliuO2rvv379eOHTs0cOBAzZ07V506dVJ8fLxLu/btnTx50mW/7XJu7+LncuzYsVq1apXKlCmjQYMG6bfffnP5y8k+zsqUKaOuXbtq7ty5OnTokDZv3qyHHnpIa9euVb9+/Zxu05pzHNsfK3t/chvzAAAfZwAAQKE6evSo+eCDD0z37t1NgwYNTEREhPH39zclSpQwderUMY899phZt26dx/XPnDljRo8ebRo2bGjCwsJMVFSUuemmm8ynn35qbDabo97MmTONJJe/AwcOmAMHDrgtmzlzptO2/vrrL/PUU0+Z6tWrm+DgYBMTE2Nuu+0288UXXzhtK6dt27aZu+++20RGRprQ0FBTv359M3bsWPP77787batFixZO69lsNjNu3DhTs2ZNExQUZCpXrmxefPFFk56ebqpVq+a0bmZmphkxYoTHfVi9erXbshEjRuS57xdvS5Lp2bOnU1/3799vevToYcqWLWtCQkJM3bp1zRtvvGEyMzONJOPn5+f1ePDUH0lm9erVTnU97XO1atVc2v3nn3/M0KFDTWxsrAkJCTHh4eGmVatWZsqUKSYrK8urdi/eb2OM23pxcXHGGGOqV6/ucV8uHoM5/fXXX2bgwIGmRo0aJjg42JQuXdq0adPGfPHFFy7b79mzp8f9z23MAwB8m58xV/l0zgAAAIXk9OnTioiIUJkyZVzO7AAAAJ5x2QUAAEAO69at09KlS92W7dq1S5J0ww03XM4uAQBQ5BE+AAAA5LBixQoNHjxYmZmZLmX2O424m2gRAAB4RvgAAABwkd9//11dunTR2rVr9ddff2nr1q0aOHCgZsyYoYceekiPPvrole4iAABFCnM+AAAA5PDXX39pzpw5Wrx4sQ4ePKjk5GSFhobq+uuvV+/evdW7d2/5+fld6W4CAFCkED4AAAAAAABLcdkFAAAAAACwFOEDAAAAAACwFOEDAAAAAACwFOEDAAAAAACwFOEDAAAAAACwFOEDAAAAAACwFOEDAAAAAACwFOEDAAAAAACw1P8Pbn0ysz7XvIYAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='WF',location='place')" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "id": "1b22582c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "138 Set Declarations\n", - " B_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_scheduling : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " B_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_network : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " B_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*scales_network : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " C_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_scheduling : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " C_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*scales_network : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " C_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*scales_network : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " Cap_P_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Cap_S_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*scales_network : 0 : {}\n", - " Capex_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Capex_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Fopex_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Fopex_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Incidental_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Incidental_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " Inv_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*scales_scheduling : 0 : {}\n", - " P_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes_full*scales_scheduling : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " P_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " P_m_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 4 : locations*P_m_index_1*scales_scheduling : 8 : {('place', 'PV', 0, 0), ('place', 'Heater', 0, 0), ('place', 'BM_ST', 0, 0), ('place', 'Grid', 0, 0), ('place', 'NG_CHP', 0, 0), ('place', 'LED', 0, 0), ('place', 'WF', 0, 0), ('place', 'Refrigerator', 0, 0)}\n", - " P_m_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : Any : 8 : {('PV', 0), ('Heater', 0), ('BM_ST', 0), ('Grid', 0), ('NG_CHP', 0), ('LED', 0), ('WF', 0), ('Refrigerator', 0)}\n", - " P_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : processes*scales_network : 8 : {('BM_ST', 0), ('Grid', 0), ('Heater', 0), ('LED', 0), ('NG_CHP', 0), ('PV', 0), ('Refrigerator', 0), ('WF', 0)}\n", - " R_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_scheduling : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " R_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_network : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " R_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_sell*scales_network : 4 : {('CO2_Vent', 0), ('Heating', 0), ('Lighting', 0), ('Refrigeration', 0)}\n", - " S_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_scheduling : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " S_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*scales_network : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " S_network_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_sell*scales_network : 4 : {('CO2_Vent', 0), ('Heating', 0), ('Lighting', 0), ('Refrigeration', 0)}\n", - " Vopex_location_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*scales_network : 1 : {('place', 0),}\n", - " Vopex_process_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " X_P_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*scales_network_binary : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " X_S_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*scales_network_binary : 0 : {}\n", - " constraint_demand_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_demand*constraint_demand_index_2 : 3 : {('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " constraint_demand_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_inventory_balance_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources*constraint_inventory_balance_index_2 : 11 : {('place', 'Biomass', 0), ('place', 'CO2_Vent', 0), ('place', 'GridPower', 0), ('place', 'Heat', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'NG', 0), ('place', 'Power', 0), ('place', 'Refrigeration', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_inventory_balance_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_capex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_capex_index_1 : 1 : {('place', 0),}\n", - " constraint_location_capex_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_consumption_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*constraint_location_consumption_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_location_consumption_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_discharge_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_sell*constraint_location_discharge_index_2 : 4 : {('place', 'CO2_Vent', 0), ('place', 'Heating', 0), ('place', 'Lighting', 0), ('place', 'Refrigeration', 0)}\n", - " constraint_location_discharge_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_fopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_fopex_index_1 : 1 : {('place', 0),}\n", - " constraint_location_fopex_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_incidental_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_incidental_index_1 : 1 : {('place', 0),}\n", - " constraint_location_incidental_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_production_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_location_production_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_location_production_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_purchase_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_purch*constraint_location_purchase_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_location_purchase_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_location_vopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : locations*constraint_location_vopex_index_1 : 1 : {('place', 0),}\n", - " constraint_location_vopex_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_min_production_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_min_production_facility_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_min_production_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_min_storage_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_min_storage_facility_index_2 : 0 : {}\n", - " constraint_min_storage_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_nameplate_inventory_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_nameplate_inventory_index_2 : 0 : {}\n", - " constraint_nameplate_inventory_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_nameplate_production_certain_capacity_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes_certain_capacity*constraint_nameplate_production_certain_capacity_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_nameplate_production_certain_capacity_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_nameplate_production_varying_capacity_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*processes_varying_capacity*constraint_nameplate_production_varying_capacity_index_2 : 0 : {}\n", - " constraint_nameplate_production_varying_capacity_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_capex_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_consumption_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*constraint_network_consumption_index_1 : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " constraint_network_consumption_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_discharge_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_sell*constraint_network_discharge_index_1 : 4 : {('CO2_Vent', 0), ('Heating', 0), ('Lighting', 0), ('Refrigeration', 0)}\n", - " constraint_network_discharge_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_fopex_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_incidental_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_production_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : processes*constraint_network_production_index_1 : 8 : {('BM_ST', 0), ('Grid', 0), ('Heater', 0), ('LED', 0), ('NG_CHP', 0), ('PV', 0), ('Refrigerator', 0), ('WF', 0)}\n", - " constraint_network_production_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_purchase_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 2 : resources_purch*constraint_network_purchase_index_1 : 5 : {('Biomass', 0), ('GridPower', 0), ('NG', 0), ('Solar', 0), ('Wind', 0)}\n", - " constraint_network_purchase_index_1 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_network_vopex_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_capex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_capex_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_capex_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_fopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_fopex_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_fopex_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_incidental_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_incidental_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_incidental_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_process_vopex_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_process_vopex_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_process_vopex_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_facility_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_max_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_max_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_max_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_min_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_min_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_min_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_production_mode_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*processes*constraint_production_mode_index_2 : 8 : {('place', 'BM_ST', 0), ('place', 'Grid', 0), ('place', 'Heater', 0), ('place', 'LED', 0), ('place', 'NG_CHP', 0), ('place', 'PV', 0), ('place', 'Refrigerator', 0), ('place', 'WF', 0)}\n", - " constraint_production_mode_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_resource_consumption_certain_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_certain_availability*constraint_resource_consumption_certain_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_resource_consumption_certain_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_resource_consumption_varying_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_varying_availability*constraint_resource_consumption_varying_index_2 : 0 : {}\n", - " constraint_resource_consumption_varying_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_resource_purchase_certain_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 3 : locations*resources_certain_price*constraint_resource_purchase_certain_index_2 : 5 : {('place', 'Biomass', 0), ('place', 'GridPower', 0), ('place', 'NG', 0), ('place', 'Solar', 0), ('place', 'Wind', 0)}\n", - " constraint_resource_purchase_certain_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_resource_purchase_varying_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_varying_price*constraint_resource_purchase_varying_index_2 : 0 : {}\n", - " constraint_resource_purchase_varying_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_storage_facility_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_storage_facility_index_2 : 0 : {}\n", - " constraint_storage_facility_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_storage_max_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_storage_max_index_2 : 0 : {}\n", - " constraint_storage_max_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " constraint_storage_min_index : Size=1, Index=None, Ordered=True\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : locations*resources_store*constraint_storage_min_index_2 : 0 : {}\n", - " constraint_storage_min_index_2 : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " locations : Set of locations\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {'place',}\n", - " modes : Set of process modes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " processes : Set of processes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_certain_capacity : Set of processes with certain capacity\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_failure : Set of processes which can fail\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_full : Set of all processes including dummy discharge\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_materials : Set of processes with material requirements\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_multim : Set of processes with multiple modes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_segments : Set of processes with PWL process segments\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_singlem : Set of processes with multiple modes\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 8 : {'BM_ST', 'Grid', 'Heater', 'LED', 'NG_CHP', 'PV', 'Refrigerator', 'WF'}\n", - " processes_storage : Set of storage process\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_uncertain_capacity : Set of processes with uncertain capacity\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_varying_capacity : Set of processes with varying capacity\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " processes_varying_expenditure : Set of processes with varying expenditure\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources : Set of resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 11 : {'Biomass', 'CO2_Vent', 'GridPower', 'Heat', 'Heating', 'Lighting', 'NG', 'Power', 'Refrigeration', 'Solar', 'Wind'}\n", - " resources_certain_availability : Set of resources with certain purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 5 : {'Biomass', 'GridPower', 'NG', 'Solar', 'Wind'}\n", - " resources_certain_demand : Set of resources with certain purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 4 : {'CO2_Vent', 'Heating', 'Lighting', 'Refrigeration'}\n", - " resources_certain_price : Set of resources with certain purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 5 : {'Biomass', 'GridPower', 'NG', 'Solar', 'Wind'}\n", - " resources_certain_revenue : Set of resources with certain selling revenue\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_demand : Set of resources with exact demand\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 3 : {'Heating', 'Lighting', 'Refrigeration'}\n", - " resources_nosell : Set of non-dischargeable resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 7 : {'Biomass', 'GridPower', 'Heat', 'NG', 'Power', 'Solar', 'Wind'}\n", - " resources_purch : Set of purchased resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 5 : {'Biomass', 'GridPower', 'NG', 'Solar', 'Wind'}\n", - " resources_sell : Set of dischargeable resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 4 : {'CO2_Vent', 'Heating', 'Lighting', 'Refrigeration'}\n", - " resources_store : Set of storeable resources\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_uncertain_demand : Set of resources with uncertain demand\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_uncertain_price : Set of resources with uncertain purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_uncertain_revenue : Set of resources with uncertain purchase revenue\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_varying_availability : Set of resources with varying purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_varying_demand : Set of resources with varying purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_varying_price : Set of resources with varying purchase price\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " resources_varying_revenue : Set of resources with varying selling revenue\n", - " Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : -- : Any : 0 : {}\n", - " scales : set of scales\n", - " Size=1, Index=scales_index, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " 0 : 1 : Any : 1 : {0,}\n", - " scales_index : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " scales_network : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " scales_network_binary : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - " scales_scheduling : Size=1, Index=None, Ordered=Insertion\n", - " Key : Dimen : Domain : Size : Members\n", - " None : 1 : Any : 1 : {0,}\n", - "\n", - "34 Var Declarations\n", - " B : Purchase Expenditure\n", - " Size=5, Index=B_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 24.528509654275712 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " B_location : Total resource purchase at location\n", - " Size=5, Index=B_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 24.528509654275712 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " B_network : Total resource purchase from network\n", - " Size=5, Index=B_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('GridPower', 0) : 0 : 24.528509654275712 : None : False : False : NonNegativeReals\n", - " ('NG', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " C : Resource Consumption\n", - " Size=5, Index=C_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 2.5235092236909167 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " C_location : Total resource consumption at location\n", - " Size=5, Index=C_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'GridPower', 0) : 0 : 2.5235092236909167 : None : False : False : NonNegativeReals\n", - " ('place', 'NG', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " C_network : Total resource consumption from network\n", - " Size=5, Index=C_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('Biomass', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('GridPower', 0) : 0 : 2.5235092236909167 : None : False : False : NonNegativeReals\n", - " ('NG', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Solar', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Wind', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Cap_P : Process Capacity\n", - " Size=8, Index=Cap_P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Cap_S : Storage Capacity\n", - " Size=0, Index=Cap_S_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " Capex_location : Capex at location scale\n", - " Size=1, Index=Capex_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 29362.745098039213 : None : False : False : NonNegativeReals\n", - " Capex_network : Capex at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 29362.745098039213 : None : False : False : NonNegativeReals\n", - " Capex_process : Capex for process\n", - " Size=8, Index=Capex_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 3529.4117647058824 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 2500.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 23333.333333333332 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Cost : Total cost\n", - " Size=1, Index=None\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " None : 0 : None : None : False : True : NonNegativeReals\n", - " Fopex_location : Fixed Opex at location scale\n", - " Size=1, Index=Fopex_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Fopex_network : Fixed Opex at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Fopex_process : Fixed Opex for process\n", - " Size=8, Index=Fopex_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Incidental_location : Incidental at location scale\n", - " Size=1, Index=Incidental_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Incidental_network : Incidental at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Incidental_process : Incidentals for process\n", - " Size=8, Index=Incidental_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " Inv : Resource Inventory\n", - " Size=0, Index=Inv_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " P : Production\n", - " Size=8, Index=P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 2.5235092236909167 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " P_location : Total production at location\n", - " Size=8, Index=P_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 2.5235092236909167 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " P_m : Production modes\n", - " Size=8, Index=P_m_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0, 0) : 0 : 2.5235092236909167 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0, 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0, 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0, 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " P_network : Total production from network\n", - " Size=8, Index=P_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Grid', 0) : 0 : 2.5235092236909167 : None : False : False : NonNegativeReals\n", - " ('Heater', 0) : 0 : 117.64705882352942 : None : False : False : NonNegativeReals\n", - " ('LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('Refrigerator', 0) : 0 : 333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " R : Revenue from resource Sold\n", - " Size=4, Index=R_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " R_location : Total revenue from resource discharge at location\n", - " Size=4, Index=R_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " R_network : Total revenue from resource discharge from network\n", - " Size=4, Index=R_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('CO2_Vent', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('Heating', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('Lighting', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " ('Refrigeration', 0) : 0 : None : None : False : True : NonNegativeReals\n", - " S : Resource Dispensed/Sold\n", - " Size=4, Index=S_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : 227.1158301321825 : None : False : False : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : 100.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : 200.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " S_location : Total resource discharge at location\n", - " Size=4, Index=S_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'CO2_Vent', 0) : 0 : 227.1158301321825 : None : False : False : NonNegativeReals\n", - " ('place', 'Heating', 0) : 0 : 100.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Lighting', 0) : 0 : 200.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigeration', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " S_network : Total resource discharge from network\n", - " Size=4, Index=S_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('CO2_Vent', 0) : 0 : 227.1158301321825 : None : False : False : NonNegativeReals\n", - " ('Heating', 0) : 0 : 100.0 : None : False : False : NonNegativeReals\n", - " ('Lighting', 0) : 0 : 200.0 : None : False : False : NonNegativeReals\n", - " ('Refrigeration', 0) : 0 : 1000.0 : None : False : False : NonNegativeReals\n", - " Vopex_location : Variable Opex at location scale\n", - " Size=1, Index=Vopex_location_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 0) : 0 : 1936.2745098039215 : None : False : False : NonNegativeReals\n", - " Vopex_network : Variable Opex at network scale\n", - " Size=1, Index=scales_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 1936.2745098039215 : None : False : False : NonNegativeReals\n", - " Vopex_process : Variable Opex for process\n", - " Size=8, Index=Vopex_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Heater', 0) : 0 : 352.9411764705883 : None : False : False : NonNegativeReals\n", - " ('place', 'LED', 0) : 0 : 250.0 : None : False : False : NonNegativeReals\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'Refrigerator', 0) : 0 : 1333.3333333333333 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " X_P : Process Binary\n", - " Size=8, Index=X_P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'BM_ST', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'Grid', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'Heater', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'LED', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'NG_CHP', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PV', 0) : 0 : -0.0 : 1 : False : False : Binary\n", - " ('place', 'Refrigerator', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'WF', 0) : 0 : -0.0 : 1 : False : False : Binary\n", - " X_S : Storage Binary\n", - " Size=0, Index=X_S_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - "\n", - "1 Objective Declarations\n", - " objective_cost : total cost\n", - " Size=1, Index=None, Active=True\n", - " Key : Active : Sense : Expression\n", - " None : True : minimize : Capex_network[0] + Vopex_network[0] + Fopex_network[0] + B_network[Biomass,0] + B_network[GridPower,0] + B_network[NG,0] + B_network[Solar,0] + B_network[Wind,0] + Incidental_network[0]\n", - "\n", - "36 Constraint Declarations\n", - " constraint_demand : specific demand for resources\n", - " Size=3, Index=constraint_demand_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Heating', 0) : 100.0 : S[place,Heating,0] : +Inf : True\n", - " ('place', 'Lighting', 0) : 200.0 : S[place,Lighting,0] : +Inf : True\n", - " ('place', 'Refrigeration', 0) : 1000.0 : S[place,Refrigeration,0] : +Inf : True\n", - " constraint_inventory_balance : mass balance across scheduling scale\n", - " Size=11, Index=constraint_inventory_balance_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : - P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,Biomass,0] : 0.0 : True\n", - " ('place', 'CO2_Vent', 0) : 0.0 : 100*P_m[place,BM_ST,0,0] + 90*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 56*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,CO2_Vent,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] - P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,GridPower,0] : 0.0 : True\n", - " ('place', 'Heat', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 77.7784*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] : 0.0 : True\n", - " ('place', 'Heating', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0.85*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,Heating,0] : 0.0 : True\n", - " ('place', 'Lighting', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0.8*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,Lighting,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] - P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,NG,0] : 0.0 : True\n", - " ('place', 'Power', 0) : 0.0 : 188.8904*P_m[place,BM_ST,0,0] + 277.78*P_m[place,Grid,0,0] - P_m[place,Heater,0,0] - P_m[place,LED,0,0] + 122.22319999999999*P_m[place,NG_CHP,0,0] + 25.000199999999996*P_m[place,PV,0,0] - P_m[place,Refrigerator,0,0] + 61.111599999999996*P_m[place,WF,0,0] : 0.0 : True\n", - " ('place', 'Refrigeration', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 3*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] - S[place,Refrigeration,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] - P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] + 0*P_m[place,WF,0,0] + C[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : 0*P_m[place,BM_ST,0,0] + 0*P_m[place,Grid,0,0] + 0*P_m[place,Heater,0,0] + 0*P_m[place,LED,0,0] + 0*P_m[place,NG_CHP,0,0] + 0*P_m[place,PV,0,0] + 0*P_m[place,Refrigerator,0,0] - P_m[place,WF,0,0] + C[place,Wind,0] : 0.0 : True\n", - " constraint_location_capex : sums up capex from process over a location\n", - " Size=1, Index=constraint_location_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Capex_location[place,0] - (Capex_process[place,BM_ST,0] + Capex_process[place,Grid,0] + Capex_process[place,Heater,0] + Capex_process[place,LED,0] + Capex_process[place,NG_CHP,0] + Capex_process[place,PV,0] + Capex_process[place,Refrigerator,0] + Capex_process[place,WF,0]) : 0.0 : True\n", - " constraint_location_consumption : sums up consumption of resource over the temporal scale at location\n", - " Size=5, Index=constraint_location_consumption_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : C_location[place,Biomass,0] - C[place,Biomass,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : C_location[place,GridPower,0] - C[place,GridPower,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : C_location[place,NG,0] - C[place,NG,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : C_location[place,Solar,0] - C[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : C_location[place,Wind,0] - C[place,Wind,0] : 0.0 : True\n", - " constraint_location_discharge : sums up discharge of resource over the temporal scale at location\n", - " Size=4, Index=constraint_location_discharge_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'CO2_Vent', 0) : 0.0 : S_location[place,CO2_Vent,0] - S[place,CO2_Vent,0] : 0.0 : True\n", - " ('place', 'Heating', 0) : 0.0 : S_location[place,Heating,0] - S[place,Heating,0] : 0.0 : True\n", - " ('place', 'Lighting', 0) : 0.0 : S_location[place,Lighting,0] - S[place,Lighting,0] : 0.0 : True\n", - " ('place', 'Refrigeration', 0) : 0.0 : S_location[place,Refrigeration,0] - S[place,Refrigeration,0] : 0.0 : True\n", - " constraint_location_fopex : sums up fopex from process over a locations\n", - " Size=1, Index=constraint_location_fopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Fopex_location[place,0] - (Fopex_process[place,BM_ST,0] + Fopex_process[place,Grid,0] + Fopex_process[place,Heater,0] + Fopex_process[place,LED,0] + Fopex_process[place,NG_CHP,0] + Fopex_process[place,PV,0] + Fopex_process[place,Refrigerator,0] + Fopex_process[place,WF,0]) : 0.0 : True\n", - " constraint_location_incidental : sums up incidental expenditure from process over a location\n", - " Size=1, Index=constraint_location_incidental_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Incidental_location[place,0] - (Incidental_process[place,BM_ST,0] + Incidental_process[place,Grid,0] + Incidental_process[place,Heater,0] + Incidental_process[place,LED,0] + Incidental_process[place,NG_CHP,0] + Incidental_process[place,PV,0] + Incidental_process[place,Refrigerator,0] + Incidental_process[place,WF,0]) : 0.0 : True\n", - " constraint_location_production : sums up production from process over the temporal scale at location\n", - " Size=8, Index=constraint_location_production_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : P_location[place,BM_ST,0] - P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : P_location[place,Grid,0] - P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : P_location[place,Heater,0] - P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : P_location[place,LED,0] - P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : P_location[place,NG_CHP,0] - P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : P_location[place,PV,0] - P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : P_location[place,Refrigerator,0] - P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : P_location[place,WF,0] - P[place,WF,0] : 0.0 : True\n", - " constraint_location_purchase : sums up purchase expenditure of resource over the temporal scale at location\n", - " Size=5, Index=constraint_location_purchase_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : B_location[place,Biomass,0] - B[place,Biomass,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : B_location[place,GridPower,0] - B[place,GridPower,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : B_location[place,NG,0] - B[place,NG,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : B_location[place,Solar,0] - B[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : B_location[place,Wind,0] - B[place,Wind,0] : 0.0 : True\n", - " constraint_location_vopex : sums up vopex from process over a locations\n", - " Size=1, Index=constraint_location_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 0) : 0.0 : Vopex_location[place,0] - (Vopex_process[place,BM_ST,0] + Vopex_process[place,Grid,0] + Vopex_process[place,Heater,0] + Vopex_process[place,LED,0] + Vopex_process[place,NG_CHP,0] + Vopex_process[place,PV,0] + Vopex_process[place,Refrigerator,0] + Vopex_process[place,WF,0]) : 0.0 : True\n", - " constraint_min_production_facility : production facility sizing and location\n", - " Size=8, Index=constraint_min_production_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : 100*X_P[place,BM_ST,0] - Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : -Inf : 0*X_P[place,Grid,0] - Cap_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : -Inf : 0*X_P[place,Heater,0] - Cap_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : -Inf : 0*X_P[place,LED,0] - Cap_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : 800*X_P[place,NG_CHP,0] - Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : -Inf : 10*X_P[place,PV,0] - Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : 0*X_P[place,Refrigerator,0] - Cap_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : -Inf : 10*X_P[place,WF,0] - Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_min_storage_facility : storage facility sizing and location\n", - " Size=0, Index=constraint_min_storage_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_nameplate_inventory : restricts inventory to certain nameplate capacity\n", - " Size=0, Index=constraint_nameplate_inventory_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_nameplate_production_certain_capacity : restricts production to certain nameplate capacity\n", - " Size=8, Index=constraint_nameplate_production_certain_capacity_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : P[place,BM_ST,0] - Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : -Inf : P[place,Grid,0] - Cap_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : -Inf : P[place,Heater,0] - Cap_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : -Inf : P[place,LED,0] - Cap_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : P[place,NG_CHP,0] - Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : -Inf : P[place,PV,0] - Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : P[place,Refrigerator,0] - Cap_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : -Inf : P[place,WF,0] - Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_nameplate_production_varying_capacity : restricts production to varying nameplate capacity\n", - " Size=0, Index=constraint_nameplate_production_varying_capacity_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_network_capex : sums up capex from process over all locations in network\n", - " Size=1, Index=constraint_network_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Capex_network[0] - Capex_location[place,0] : 0.0 : True\n", - " constraint_network_consumption : sums up consumption of resource over all locations in network\n", - " Size=5, Index=constraint_network_consumption_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('Biomass', 0) : 0.0 : C_network[Biomass,0] - C_location[place,Biomass,0] : 0.0 : True\n", - " ('GridPower', 0) : 0.0 : C_network[GridPower,0] - C_location[place,GridPower,0] : 0.0 : True\n", - " ('NG', 0) : 0.0 : C_network[NG,0] - C_location[place,NG,0] : 0.0 : True\n", - " ('Solar', 0) : 0.0 : C_network[Solar,0] - C_location[place,Solar,0] : 0.0 : True\n", - " ('Wind', 0) : 0.0 : C_network[Wind,0] - C_location[place,Wind,0] : 0.0 : True\n", - " constraint_network_discharge : sums up discharge of resource over all locations in network\n", - " Size=4, Index=constraint_network_discharge_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('CO2_Vent', 0) : 0.0 : S_network[CO2_Vent,0] - S_location[place,CO2_Vent,0] : 0.0 : True\n", - " ('Heating', 0) : 0.0 : S_network[Heating,0] - S_location[place,Heating,0] : 0.0 : True\n", - " ('Lighting', 0) : 0.0 : S_network[Lighting,0] - S_location[place,Lighting,0] : 0.0 : True\n", - " ('Refrigeration', 0) : 0.0 : S_network[Refrigeration,0] - S_location[place,Refrigeration,0] : 0.0 : True\n", - " constraint_network_fopex : sums up fopex from process over all locations in network\n", - " Size=1, Index=constraint_network_fopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Fopex_network[0] - Fopex_location[place,0] : 0.0 : True\n", - " constraint_network_incidental : sums up incidental expenditure from process over all locations in network\n", - " Size=1, Index=constraint_network_incidental_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Incidental_network[0] - Incidental_location[place,0] : 0.0 : True\n", - " constraint_network_production : sums up production from process over all locations in network\n", - " Size=8, Index=constraint_network_production_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('BM_ST', 0) : 0.0 : P_network[BM_ST,0] - P_location[place,BM_ST,0] : 0.0 : True\n", - " ('Grid', 0) : 0.0 : P_network[Grid,0] - P_location[place,Grid,0] : 0.0 : True\n", - " ('Heater', 0) : 0.0 : P_network[Heater,0] - P_location[place,Heater,0] : 0.0 : True\n", - " ('LED', 0) : 0.0 : P_network[LED,0] - P_location[place,LED,0] : 0.0 : True\n", - " ('NG_CHP', 0) : 0.0 : P_network[NG_CHP,0] - P_location[place,NG_CHP,0] : 0.0 : True\n", - " ('PV', 0) : 0.0 : P_network[PV,0] - P_location[place,PV,0] : 0.0 : True\n", - " ('Refrigerator', 0) : 0.0 : P_network[Refrigerator,0] - P_location[place,Refrigerator,0] : 0.0 : True\n", - " ('WF', 0) : 0.0 : P_network[WF,0] - P_location[place,WF,0] : 0.0 : True\n", - " constraint_network_purchase : sums up purchase expenditure of resource over all locations in network\n", - " Size=5, Index=constraint_network_purchase_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('Biomass', 0) : 0.0 : B_network[Biomass,0] - B_location[place,Biomass,0] : 0.0 : True\n", - " ('GridPower', 0) : 0.0 : B_network[GridPower,0] - B_location[place,GridPower,0] : 0.0 : True\n", - " ('NG', 0) : 0.0 : B_network[NG,0] - B_location[place,NG,0] : 0.0 : True\n", - " ('Solar', 0) : 0.0 : B_network[Solar,0] - B_location[place,Solar,0] : 0.0 : True\n", - " ('Wind', 0) : 0.0 : B_network[Wind,0] - B_location[place,Wind,0] : 0.0 : True\n", - " constraint_network_vopex : sums up vopex from process over all locations in network\n", - " Size=1, Index=constraint_network_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Vopex_network[0] - Vopex_location[place,0] : 0.0 : True\n", - " constraint_process_capex : capex for process\n", - " Size=8, Index=constraint_process_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Capex_process[place,BM_ST,0] - 250*Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Capex_process[place,Grid,0] + 0*Cap_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Capex_process[place,Heater,0] - 30*Cap_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Capex_process[place,LED,0] - 10*Cap_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Capex_process[place,NG_CHP,0] - 500*Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Capex_process[place,PV,0] - 2000*Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Capex_process[place,Refrigerator,0] - 70*Cap_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Capex_process[place,WF,0] - 2000*Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_process_fopex : fopex for process\n", - " Size=8, Index=constraint_process_fopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Fopex_process[place,BM_ST,0] - 15*Cap_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Fopex_process[place,Grid,0] + 0*Cap_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Fopex_process[place,Heater,0] + 0*Cap_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Fopex_process[place,LED,0] + 0*Cap_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Fopex_process[place,NG_CHP,0] - 15*Cap_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Fopex_process[place,PV,0] - 500*Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Fopex_process[place,Refrigerator,0] + 0*Cap_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Fopex_process[place,WF,0] - 1200*Cap_P[place,WF,0] : 0.0 : True\n", - " constraint_process_incidental : total incidental costs from processes\n", - " Size=8, Index=constraint_process_incidental_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Incidental_process[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Incidental_process[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Incidental_process[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Incidental_process[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Incidental_process[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Incidental_process[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Incidental_process[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Incidental_process[place,WF,0] : 0.0 : True\n", - " constraint_process_vopex : total vopex from network\n", - " Size=8, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : Vopex_process[place,BM_ST,0] + 0*P_location[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : Vopex_process[place,Grid,0] + 0*P_location[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : Vopex_process[place,Heater,0] - 3*P_location[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : Vopex_process[place,LED,0] - P_location[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : Vopex_process[place,NG_CHP,0] + 0*P_location[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Vopex_process[place,PV,0] + 0*P_location[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : Vopex_process[place,Refrigerator,0] - 4*P_location[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Vopex_process[place,WF,0] + 0*P_location[place,WF,0] : 0.0 : True\n", - " constraint_production_facility : production facility sizing and location\n", - " Size=8, Index=constraint_production_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : Cap_P[place,BM_ST,0] - 1000000*X_P[place,BM_ST,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : -Inf : Cap_P[place,Grid,0] - 1000*X_P[place,Grid,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : -Inf : Cap_P[place,Heater,0] - 1000*X_P[place,Heater,0] : 0.0 : True\n", - " ('place', 'LED', 0) : -Inf : Cap_P[place,LED,0] - 1000*X_P[place,LED,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : Cap_P[place,NG_CHP,0] - 1000000*X_P[place,NG_CHP,0] : 0.0 : True\n", - " ('place', 'PV', 0) : -Inf : Cap_P[place,PV,0] - 300*X_P[place,PV,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : Cap_P[place,Refrigerator,0] - 1000*X_P[place,Refrigerator,0] : 0.0 : True\n", - " ('place', 'WF', 0) : -Inf : Cap_P[place,WF,0] - 500*X_P[place,WF,0] : 0.0 : True\n", - " constraint_production_max : restricts nameplate capacity to some UB\n", - " Size=8, Index=constraint_production_max_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : -Inf : Cap_P[place,BM_ST,0] : 1000000.0 : True\n", - " ('place', 'Grid', 0) : -Inf : Cap_P[place,Grid,0] : 1000.0 : True\n", - " ('place', 'Heater', 0) : -Inf : Cap_P[place,Heater,0] : 1000.0 : True\n", - " ('place', 'LED', 0) : -Inf : Cap_P[place,LED,0] : 1000.0 : True\n", - " ('place', 'NG_CHP', 0) : -Inf : Cap_P[place,NG_CHP,0] : 1000000.0 : True\n", - " ('place', 'PV', 0) : -Inf : Cap_P[place,PV,0] : 300.0 : True\n", - " ('place', 'Refrigerator', 0) : -Inf : Cap_P[place,Refrigerator,0] : 1000.0 : True\n", - " ('place', 'WF', 0) : -Inf : Cap_P[place,WF,0] : 500.0 : True\n", - " constraint_production_mode : production mode sum constraint\n", - " Size=8, Index=constraint_production_mode_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'BM_ST', 0) : 0.0 : P[place,BM_ST,0] - P_m[place,BM_ST,0,0] : 0.0 : True\n", - " ('place', 'Grid', 0) : 0.0 : P[place,Grid,0] - P_m[place,Grid,0,0] : 0.0 : True\n", - " ('place', 'Heater', 0) : 0.0 : P[place,Heater,0] - P_m[place,Heater,0,0] : 0.0 : True\n", - " ('place', 'LED', 0) : 0.0 : P[place,LED,0] - P_m[place,LED,0,0] : 0.0 : True\n", - " ('place', 'NG_CHP', 0) : 0.0 : P[place,NG_CHP,0] - P_m[place,NG_CHP,0,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : P[place,PV,0] - P_m[place,PV,0,0] : 0.0 : True\n", - " ('place', 'Refrigerator', 0) : 0.0 : P[place,Refrigerator,0] - P_m[place,Refrigerator,0,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : P[place,WF,0] - P_m[place,WF,0,0] : 0.0 : True\n", - " constraint_resource_consumption_certain : restricts resource consumption to certain availablity\n", - " Size=5, Index=constraint_resource_consumption_certain_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : -Inf : C[place,Biomass,0] : 10000000000.0 : True\n", - " ('place', 'GridPower', 0) : -Inf : C[place,GridPower,0] : 10000000000.0 : True\n", - " ('place', 'NG', 0) : -Inf : C[place,NG,0] : 100.0 : True\n", - " ('place', 'Solar', 0) : -Inf : C[place,Solar,0] : 10000000000.0 : True\n", - " ('place', 'Wind', 0) : -Inf : C[place,Wind,0] : 10000000000.0 : True\n", - " constraint_resource_consumption_varying : restricts resource consumption to varying availablity\n", - " Size=0, Index=constraint_resource_consumption_varying_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_resource_purchase_certain : calculates certain amount spent on resource consumption\n", - " Size=5, Index=constraint_resource_purchase_certain_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Biomass', 0) : 0.0 : B[place,Biomass,0] - 36.11*C[place,Biomass,0] : 0.0 : True\n", - " ('place', 'GridPower', 0) : 0.0 : B[place,GridPower,0] - 9.72*C[place,GridPower,0] : 0.0 : True\n", - " ('place', 'NG', 0) : 0.0 : B[place,NG,0] - 8.89*C[place,NG,0] : 0.0 : True\n", - " ('place', 'Solar', 0) : 0.0 : B[place,Solar,0] + 0*C[place,Solar,0] : 0.0 : True\n", - " ('place', 'Wind', 0) : 0.0 : B[place,Wind,0] + 0*C[place,Wind,0] : 0.0 : True\n", - " constraint_resource_purchase_varying : calculates varying amount spent on resource consumption\n", - " Size=0, Index=constraint_resource_purchase_varying_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_storage_facility : storage facility sizing and location\n", - " Size=0, Index=constraint_storage_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " constraint_storage_max : restricts nameplate inventory to some UB\n", - " Size=0, Index=constraint_storage_max_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - "\n", - "1 Suffix Declarations\n", - " dual : Direction=Suffix.IMPORT_EXPORT, Datatype=Suffix.FLOAT\n", - " Key : Value\n", - "\n", - "210 Declarations: scales_index scales processes processes_full resources resources_nosell resources_sell resources_store resources_purch resources_varying_price resources_certain_price resources_varying_availability resources_certain_availability resources_varying_revenue resources_certain_revenue resources_varying_demand resources_certain_demand resources_demand processes_varying_capacity processes_certain_capacity processes_varying_expenditure processes_failure processes_materials processes_storage processes_multim processes_singlem locations resources_uncertain_price resources_uncertain_revenue resources_uncertain_demand processes_uncertain_capacity processes_segments modes scales_scheduling P_index P B_index B C_index C S_index S R_index R Inv_index Inv P_m_index_1 P_m_index P_m scales_network Cap_P_index Cap_P Cap_S_index Cap_S P_location_index P_location S_location_index S_location R_location_index R_location C_location_index C_location B_location_index B_location P_network_index P_network S_network_index S_network R_network_index R_network C_network_index C_network B_network_index B_network Fopex_process_index Fopex_process Vopex_process_index Vopex_process Capex_process_index Capex_process Incidental_process_index Incidental_process Fopex_location_index Fopex_location Vopex_location_index Vopex_location Capex_location_index Capex_location Incidental_location_index Incidental_location Fopex_network Vopex_network Capex_network Incidental_network Cost constraint_process_capex_index_2 constraint_process_capex_index constraint_process_capex constraint_process_fopex_index_2 constraint_process_fopex_index constraint_process_fopex constraint_process_vopex_index_2 constraint_process_vopex_index constraint_process_vopex constraint_process_incidental_index_2 constraint_process_incidental_index constraint_process_incidental constraint_location_capex_index_1 constraint_location_capex_index constraint_location_capex constraint_location_fopex_index_1 constraint_location_fopex_index constraint_location_fopex constraint_location_vopex_index_1 constraint_location_vopex_index constraint_location_vopex constraint_location_incidental_index_1 constraint_location_incidental_index constraint_location_incidental constraint_network_capex_index constraint_network_capex constraint_network_fopex_index constraint_network_fopex constraint_network_vopex_index constraint_network_vopex constraint_network_incidental_index constraint_network_incidental constraint_nameplate_inventory_index_2 constraint_nameplate_inventory_index constraint_nameplate_inventory constraint_storage_max_index_2 constraint_storage_max_index constraint_storage_max constraint_storage_min_index_2 constraint_storage_min_index constraint_production_mode_index_2 constraint_production_mode_index constraint_production_mode constraint_nameplate_production_certain_capacity_index_2 constraint_nameplate_production_certain_capacity_index constraint_nameplate_production_certain_capacity constraint_nameplate_production_varying_capacity_index_2 constraint_nameplate_production_varying_capacity_index constraint_nameplate_production_varying_capacity constraint_production_max_index_2 constraint_production_max_index constraint_production_max constraint_production_min_index_2 constraint_production_min_index constraint_inventory_balance_index_2 constraint_inventory_balance_index constraint_inventory_balance constraint_resource_consumption_certain_index_2 constraint_resource_consumption_certain_index constraint_resource_consumption_certain constraint_resource_consumption_varying_index_2 constraint_resource_consumption_varying_index constraint_resource_consumption_varying constraint_resource_purchase_certain_index_2 constraint_resource_purchase_certain_index constraint_resource_purchase_certain constraint_resource_purchase_varying_index_2 constraint_resource_purchase_varying_index constraint_resource_purchase_varying constraint_location_production_index_2 constraint_location_production_index constraint_location_production constraint_location_discharge_index_2 constraint_location_discharge_index constraint_location_discharge constraint_location_consumption_index_2 constraint_location_consumption_index constraint_location_consumption constraint_location_purchase_index_2 constraint_location_purchase_index constraint_location_purchase constraint_network_production_index_1 constraint_network_production_index constraint_network_production constraint_network_discharge_index_1 constraint_network_discharge_index constraint_network_discharge constraint_network_consumption_index_1 constraint_network_consumption_index constraint_network_consumption constraint_network_purchase_index_1 constraint_network_purchase_index constraint_network_purchase scales_network_binary X_P_index X_P X_S_index X_S constraint_storage_facility_index_2 constraint_storage_facility_index constraint_storage_facility constraint_production_facility_index_2 constraint_production_facility_index constraint_production_facility constraint_min_production_facility_index_2 constraint_min_production_facility_index constraint_min_production_facility constraint_min_storage_facility_index_2 constraint_min_storage_facility_index constraint_min_storage_facility constraint_demand_index_2 constraint_demand_index constraint_demand objective_cost dual\n" - ] - } - ], - "source": [ - "lp.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "060b249f", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/a2z/a2z.ipynb b/examples/a2z/a2z.ipynb deleted file mode 100644 index e323a176..00000000 --- a/examples/a2z/a2z.ipynb +++ /dev/null @@ -1,2052 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# A to Z example" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar, Yilun Lin\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Yilun Lin\", Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three different type of solar photovoltaics, namely Monocrystalline (PV_Mo), Polycrystalline (PV_Po), and Cadmium Telluride (PV_Cd) and Lithium-ion batteries made of either rock-based lithium (LiI_Ro) or brine-based lithium (LiI_Br).\n", - "\n", - "The goal is to meet a varying demand for power through renewable power generation using the PVs and Lithium-ion batteries for energy storage.\n", - "\n", - "Notably, the different PVs also have different conversion efficiences, as also operational expenditure. Emissions need to be tracked from all components, i.e. resource consumption, materials for establishing processs, emissions from setting up the process. \n", - "\n", - "Total emissions will atleast include the sum of the emissions from different components (at the network level) and as direct emissions from process (at the scheduling level)\n", - "\n", - "Users are advised caution in terms of assigning the emissions at the appropriate levels and avoiding double account. For example, if providing the global warming potentials (GWP) for each individual material to make up a process, the GWP for processes should only consider the values for construction. Moreover, the direct emissions are considered through the resource balance constraint." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "$\\mathcal{M}$ - set of materials m\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Mat^P_{l,p,m,t}$ - material m $\\in$ $\\mathcal{M}$ used by process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Em^{p/r/m}_{l,p/r/m,t}$ - emission from process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor\n", - "\n", - "$Mat^{cons}_{p,m}$ - material m $\\in$ $\\mathcal{M}$ consumed by process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$GWP^{p/r/m}_{l,p/r/m,t}$ - global warming indicators for process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a mulit-scale modeling and optimization MILP framework for the simultaneous design and schedule planning of a single location energy system \n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} (\\alpha \\times Capex_{l,p,t} + Fopex_{l,p,t}) \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Mat_{l,p,m,t} = Mat^{cons}_{p,m} \\times Cap^P_{l,p,t} \\hspace{1cm} \\forall m \\in \\mathcal{M}, p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{r}_{l,r,t} = GWP^{r}_{l,r,t} \\times C_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{m}_{l,m,t} = GWP^{m}_{l,m,t} \\times \\sum_{p \\in \\mathcal{P}} Mat_{l,p,m,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{p}_{l,p,t} = GWP^{p}_{l,p,t} \\times Cap_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Mat_{l,p,m,t}, Em^{p/r/m}_{l,p/r/m,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from itertools import product\n", - "import matplotlib.pyplot as plt \n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "solar = solar_power_output(data= weather_houston, coord=coord_houston)\n", - "wind = wind_power_output(data=weather_houston)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "demand_houston = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[5, 365, 24])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold).\n", - "\n", - "Power demand follows a varying deterministic demand" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand=True,\n", - " label='Power generated', varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "GridPower = Resource(name='GridPower', basis='MW',\n", - " cons_max=bigM, label='Power bought')\n", - "\n", - "H2O = Resource(name='H2O', cons_max=10**10,\n", - " price=0.001, basis='kg', label='Water', block='Resource')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Materials" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Materials are utilized for the establishment of processes. Materials inturn require resources to be set up. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "LiR = Material(name='LiR', gwp=1.484, resource_cons={H2O: 2273}, toxicity=793, basis='kg', label='Rock-based Lithium',\n", - " citation='Nelson Bunyui Manjong (2021), httoxicitys://www.tcc.fl.edu/media/divisions/academic-affairs/academic-enrichment/urc/poster-abstracts/Xanders_Madison_Poster_URS.pdf') # gwp=(0.216,0.314)\n", - "LiB = Material(name='LiB', gwp=0.031, toxicity=793, basis='kg', label='Brine-based Lithium',\n", - " citation='Nelson Bunyui Manjong (2021)') \n", - "\n", - "Monocrystalline = Material(name='Mc', gwp=20, resource_cons={H2O: 1.5}, toxicity=40.74, basis='kg', label='Mono',\n", - " citation='Environmental impact assessment of monocrystalline silicon solar photovoltaic cell production: a case study in China (toxicity)')\n", - "Polycrystalline = Material(name='Pc', gwp=26, resource_cons={\n", - " H2O: 1}, toxicity=15, basis='kg', label='Poly', citation='Environmental Economic Impact Assessments of a ... - MDPI (gwp and toxicity)')\n", - "CdTE = Material(name='CdTe', gwp=40, resource_cons={H2O: 0.25}, toxicity=5, basis='kg', label='C',\n", - " citation='Investigation of life cycle CO2 emissions of the polycrystalline and cadmium telluride PV panels')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Processes" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "LiI_Br = Process(name='LiI_Br', storage=Power, material_cons={\n", - " LiB: 20}, capex=1302182, fopex=41432, vopex=2000, prod_min=smallM, prod_max=bigM, store_max=10000, label='Lithium-ion battery', basis='MW', block = 'battery')\n", - "\n", - "LiI_Ro = Process(name='LiI_Ro', storage=Power, material_cons={\n", - " LiR: 20}, capex=1302182, fopex=41432, vopex=2000, prod_min=smallM, prod_max=bigM, store_max=10000, label='Lithium-ion battery', basis='MW', block = 'battery')\n", - "\n", - "PV_Mo = Process(name='PV_Mo', conversion={Solar: -5, Power: 1}, capex=990637, fopex=3354, vopex=4953, material_cons={Monocrystalline: 0.4},\n", - " prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "PV_Po = Process(name='PV_Po', conversion={Solar: -6.67, Power: 1}, capex=990637, fopex=3354, vopex=4953, material_cons={Polycrystalline: 0.36},\n", - " prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "PV_Cd = Process(name='PV_Cd', conversion={Solar: -3.33, Power: 1}, capex=567000, fopex=872046, vopex=90000, material_cons={CdTE: 0.02},\n", - " prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "Grid = Process(name='Grid', conversion={GridPower: -1, Power: 1}, capex=0,\n", - " fopex=0, vopex=10000000, prod_min=smallM, prod_max=bigM, label='Grid', basis='MW')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Location" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'demand_ho' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[12], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m houston \u001b[39m=\u001b[39m Location(name\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, processes\u001b[39m=\u001b[39m{LiI_Br, LiI_Ro, PV_Mo, PV_Po, PV_Cd}, capacity_factor\u001b[39m=\u001b[39m{PV_Mo: solar, PV_Po: solar, PV_Cd: solar},\n\u001b[1;32m----> 2\u001b[0m demand_factor\u001b[39m=\u001b[39m{Power: demand_ho}, scales\u001b[39m=\u001b[39mscales, label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mHouston\u001b[39m\u001b[39m'\u001b[39m, demand_scale_level\u001b[39m=\u001b[39m\u001b[39m2\u001b[39m, capacity_scale_level\u001b[39m=\u001b[39m\u001b[39m2\u001b[39m, price_scale_level\u001b[39m=\u001b[39m\u001b[39m2\u001b[39m)\n", - "\u001b[1;31mNameError\u001b[0m: name 'demand_ho' is not defined" - ] - } - ], - "source": [ - "houston = Location(name='HO', processes={LiI_Br, LiI_Ro, PV_Mo, PV_Po, PV_Cd}, capacity_factor={PV_Mo: solar, PV_Po: solar, PV_Cd: solar},\n", - " demand_factor={Power: demand_ho}, scales=scales, label='Houston', demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Scenario" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, label='full_case', demand={houston: {Power: 100}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV_Po, fig_size=(9, 5), color='orange')\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Formulate MILP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we formulate two milps which differ only in their objectives.\n", - "\n", - "For maximizing the discharge of a particular resource, use the objective MAX_DISCHARGE, the objective resource also needs to be specified.\n", - "\n", - "Similarly the discharge can also be minimized using MIN_DISCHARGE. This can be used with a demand for another resource being set. For example, minimizing the discharge of carbon dioxide while meeting a hydrogen demand.\n", - "\n", - "The second MILP, minimized the cost while meeting a varying demand for power" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to maximize resource discharge" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "\n", - "milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL}, objective=Objective.MAX_DISCHARGE, write_lpfile=True, objective_resource=Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_demand = solve(scenario=scenario, instance=milp_demand,\n", - "# solver='XPRESS', interface= 'gams', name=\"results_demand\", print_solversteps=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL}, objective=Objective.COST)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to minimize cost" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 201625 rows, 175341 columns and 556400 nonzeros\n", - "Model fingerprint: 0x075e480e\n", - "Variable types: 175332 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [4e+01, 1e+05]\n", - "Presolve removed 141150 rows and 109779 columns\n", - "Presolve time: 1.16s\n", - "Presolved: 60475 rows, 65562 columns, 190606 nonzeros\n", - "Variable types: 65557 continuous, 5 integer (5 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 18401 5.2700540e+09 0.000000e+00 2.000056e+08 5s\n", - " 20271 4.7807124e+09 0.000000e+00 0.000000e+00 6s\n", - "Concurrent spin time: 1.57s\n", - "\n", - "Solved with primal simplex\n", - "\n", - "Use crossover to convert LP symmetric solution to basic solution...\n", - "\n", - "Root crossover log...\n", - "\n", - " 34 DPushes remaining with DInf 0.0000000e+00 8s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 8s\n", - "\n", - " 10164 PPushes remaining with PInf 0.0000000e+00 8s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 8s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 1.3279532e-08 8s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 30471 4.7807124e+09 0.000000e+00 0.000000e+00 8s\n", - " 30471 4.7807124e+09 0.000000e+00 0.000000e+00 8s\n", - "\n", - "Root relaxation: objective 4.780712e+09, 30471 iterations, 6.85 seconds (10.94 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 4.7807e+09 0 1 - 4.7807e+09 - - 8s\n", - " 0 0 4.7807e+09 0 1 - 4.7807e+09 - - 8s\n", - " 0 2 4.7807e+09 0 1 - 4.7807e+09 - - 8s\n", - "* 1 0 1 4.780712e+09 4.7807e+09 0.00% 35.0 8s\n", - "\n", - "Explored 3 nodes (30537 simplex iterations) in 8.86 seconds (12.07 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 4.78071e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 4.780712421214e+09, best bound 4.780712421214e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost,\n", - " solver='gurobi', name=f\"results_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABCIAAAI6CAYAAADyhOmfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5iTVfbHv5mSTEsm0zsDM8Mw9CZFAUFAlLZSxC7NLlhZ/SmuYAFxV5RVF1mpsiDiioCgwiICFppI721oAtNgCgMzSSa5vz+ub3oy6XmTnM/zzJNM3nbecu977/eee46EMcZAEARBEARBEARBEAThA8L8bQBBEARBEARBEARBEKEDCREEQRAEQRAEQRAEQfgMEiIIgiAIgiAIgiAIgvAZJEQQBEEQBEEQBEEQBOEzSIggCIIgCIIgCIIgCMJnkBBBEARBEARBEARBEITPICGCIAiCIAiCIAiCIAifQUIEQRAEQRAEQRAEQRA+g4QIgiAIgiAIgiAIgiB8BgkRBEEQBEEQREhy7tw5f5sQEly4cAGMMX+bQRCEiCAhgiDcoL6+HvPnz8egQYOQlZWFqKgoREVFITMzE7169cKECROwePFiXLhwwaPHHTt2LCQSicmf2Ni4caOFjZ999pnHjyPGa/HVV1/htttuQ0JCAmQyGXJycnDnnXdi3rx5/jbNKk2bNrW4huZ/kZGRyMzMxLBhw7B27Vp/m0wQAc38+fMtytiWLVtM1jl79qzdMvnGG284fDy1Wo077rgDSUlJ+Pbbby2W9+nTx+ZxmjZt6t7JNrJ/47/Y2FgUFhZi/Pjx2LNnj9vHtUdJSQnuuOMOp64jYcmpU6ccejYXLlyIbt264cSJEx457qeffgqFQoHx48d7ZH+uYK390VhbxN76Y8eO9e0JEISfkTCSJwnCJU6ePImhQ4fi+PHjyM7Oxn333YemTZtCJpPh4sWL2LBhA7Zt26Zff8mSJXjooYc8cuzt27fj9OnT+OWXXzB37lwAEN1IQ0lJCTZu3AgAePjhhwEAixYt8viLVmzXYtq0aXj99dchl8sxceJE5OXl4ejRo5g9ezbS09Nx9uxZv9lmi9WrV6O2ttbkGk6ePBktW7YEwK9nWVkZvvnmG/zyyy8AgFGjRmHp0qWQSqV+s5sgXOHs2bN6UfT555+HUqn0uQ2nT5/G9u3bUVFRgRdeeAEAsHnzZvTp00e/zvXr17Fq1SoAwNy5c/Vlb8mSJQCAdu3aoV27dg4d7/fff0eXLl0AAEOGDLEQE3/44QeUlpbi6NGjeOeddwAAjz/+OHr16oW4uDgMGzbM5XNtbP8CNTU12LNnD5YvX47r168jPDwcH330EZ5++mm3jm2NY8eO4fbbb0dkZCTWr1+PwsJCj+z3n//8J6qqqtCnTx+TexnM1NbWYvXq1QCAF154ARUVFZg6daqFGFFaWopBgwahuLgYa9euRc+ePd06bps2bXD48GEAQEVFBZKSktzanysI7Q/jcjx8+HCMGDECAKy2+ZYuXQoAWLlypb58z5o1C8nJycjPz8fNN9/sI+u9j/AMDBs2DB06dPCrLYRIYQRBOM3169dZ06ZNGQD22GOPMZVKZXW9xYsXs7CwMAaAzZs3z+N2LFq0iAFgYi/Kgo2LFi3y2jHEcC3Ky8uZVCplANg333xjsuyVV15hubm5/jHMQYyv4ebNm62uM3nyZP06Tz/9tG8NJAgPsHnzZv0zfObMGb/acubMmUbLHGOMjRkzxq36TaVSsf79+zOlUslWrVplcz3ja+ON+tqR/Z84cYIlJSUxACwsLIwdPnzYozaUl5ezvLw8JpfL2bFjxzy679zcXAaATZ061aP7DRQaO//S0lKWnZ3NkpKS2KlTp9w61uzZs5lcLmcPPfSQW/vxBMbl2NF7P3XqVNHUQ97CF20/IrChqRkE4QKLFy/G2bNnoVAo8OGHH9ocFR49erTeG4AIfnbs2AG1Wg0AFqNhr7zyCn788Uc/WOVZ3nrrLRQUFADgrrGnT5/2s0UEQTSGVCrFDz/8gMrKSre9G7xN8+bNMXHiRACATqfTe4B4ihdffBHFxcWYOnUqWrRo4dF9E/ZJTU3FrFmzcOXKFTz66KNu7evpp59GTU2Nx58PgiB8BwkRBOECP/30EwCgVatWiI6OtrvuAw884AuTCBFw9epV/XeFQmGyLD4+Hvn5+b42yeOEh4fjrrvuAgBotVqr880JgiDc4aabbtJ/F9zvPcHevXuxdOlSKBQKPPnkkx7bL+E4I0eOREFBAbZs2YJvvvnG3+YQBOFHSIggCBe4cuUKAKC8vLzRdbt164b33nsP3bp187ZZhJ/R6XT+NsEnGAsq5BFBEISniYyM1H9XqVQe2+/s2bPBGMNf/vIXxMbGemy/hONIJBLcd999APj9IAgidCEhgiBcICEhAQBQXFyM3377ze668fHx+Otf/4q2bdvaXIcxhmXLluHOO+9EWloaIiMjkZiYiJtvvhn/93//h127djlk1549ezBixAikpqYiKioKrVu3xsyZMx3qIG/evBmjRo1CZmYmpFIpkpOT0bt3b3z88ceNNgTLysrwzDPPoGnTpoiKikJWVhbuv/9+7N+/3+523bt3N4kYbT6doaSkxOOZN2pqavDWW2+hY8eOUCgUiImJQUFBAR555JFG7bWFEDl73Lhx+t8aizqv0Wgwe/Zs9O7dG8nJyfrsGg888AC2bt1q9zjmUbmPHDmC0aNHIycnBxEREfpl3gqMGR4ebnIe5nz77bcYPnw4MjIyIJPJkJqaijvuuAOff/651UCitiKIm2cRmD59OiQSCd566y2H9mGOTqfDwoUL0bdvX/01FzKB2BqZM88oIjyj33//Pe644w6kpqYiLCzM5ewCxmVHJpMhLS0NQ4cO1U/jMT8nW271K1euxODBg5GWlgapVIq0tDTceeed+M9//gOtVmuxvnkWA8H2TZs2YcCAAUhMTERMTAw6d+6MRYsWOXQunrJh+/btGDFiBDIzMxEeHm5xPwVPnEceeQStWrVCbGwsoqKi0LRpUzz44IM26+TPPvsMEokEt912m/63Zs2aORS13tlzM+b06dMYO3asPrNSkyZN8Nhjj+HMmTONXFHPYOsZFjMnT57UfzcPJOlqPajVarFixQoAMHkGrFFVVYXXX38dHTp0QFxcHKRSKXJzczFy5EgsWLAANTU1JusLxxJSgb755psOZVA4d+4cnnvuORQVFSE2NhYKhQLt27fHa6+9hoqKCqvb2Mq08Pnnn+PWW29FUlKS3Xu9d+9ejBkzBrm5uZDJZEhISEC3bt0wffp0i/My59q1a3jttdfQokULREVF6esrwUvUUQS7Nm7caPM8bfHGG29YXAPzd52tZ/7rr79Gz549ER8fD7lcjp49ewZEFqja2lrMmDEDXbt2RUJCAqKjo5Gfn49HH30Uhw4dsli/vr6+0Uwmy5cvb/Q6Cly8eBHPP/88WrZsiZiYGERFRaGgoAAPPvggli9fjvr6ev26xtl+BMaNG+dQJp5Dhw7h0UcfRV5eHqKjo5GQkICuXbvi3XffxfXr1y3Wt5ZZ6I033kBDQwP+/ve/o3Xr1oiOjkZycjJGjBjhUe8qwkP4OUYFQQQk77//vj4IT3Z2Nlu/fr3L+6qqqmK33XYbA8BycnLYlClT2Lx589iUKVNY8+bN9cd56qmnLLY1Di74ww8/sJycHPa3v/2NLViwgP31r39l0dHRDACbOHGizeNrtVo2ceJEBoAlJiayV155hS1YsIBNnz6dtWzZkgFgrVu3ZufPn7e6/aFDh1hqaioDwFq0aMHeffddNm/ePPb0008zpVLJ1q9fbzNg0fr169mSJUtYr169GADWu3dvk+V1dXVsyZIlbMmSJY0GPXIkWOW+fftYRkYGA8Buv/129vHHH7O5c+eysWPHsoiICCaRSNjMmTNtbm+Lbdu2sSVLlrDHH39cb4Ng95IlSyyCw124cIG1bduWAWAtW7ZkM2bMYPPmzWPPPvssi4mJYQDYiy++yHQ6XaPH2bx5M0tOTmYTJ05k8+bNY6+88gqLiopyKQCWI8EqGWPsjTfe0K83bdo0/e8qlYrde++9DABLSkpi//d//8fmz5/Ppk6dynJychgAdtttt7GqqiqT/S1ZsoQ99dRT+n1++OGHbMmSJaykpMRkvS5dujAArHPnzhY2LVmyhH388ccMAHviiSfYkiVLTJZfvXqV9ejRw+SaL1iwgL388sssMTGRAWCjRo1i9fX1JtutWrXK4hn9xz/+wbKzs9mUKVPY3Llz2UMPPcQAOB2M1F7ZiYqK0p8PAPb444+zJUuWsC1btpjso76+no0YMUJff7zxxhtswYIFbMqUKfpr3rt3b1ZZWWmy3YYNG9iSJUvY8OHD9bYvXryYNWvWjE2bNo3Nnz+fPf744yw8PJwBsFsuPGnDsmXLWEpKCnv55ZfZvHnz2IQJE/Q2CDz//PP6QIb33nsv++ijj9isWbPYAw88wMLCwlhYWBj78MMPLew8ffo0W7JkiUnA1VmzZpmU1W3btnnk3AS2bNnCYmNjGQDWpUsX9sEHH7BPP/2UjR49miUlJbFVq1Z5PViltWfYFmIIVllfX8/atGnDALCIiAi2f/9+k+Wu1oM7duzQr79z506bNp4/f14fdHHQoEHs/fffZ3PnzmWTJk1iSqWSAWCxsbEm2wjPT3JyMgPAhg8fbvJcmddHjDG2fPlyvY133303mzNnDvv444/Z7bffzgCwhIQEi/JufKyioiIGgI0ZM4ZNmDCBFRYWsnfeeYd9+umnbPDgwVbv9YwZM1hYWBiLiYlhzz77LJs/fz6bOXMm69q1q749c+DAAavX5eLFi/o2SXZ2NnvjjTfY/Pnz2V//+leWmJjIFixY4HCwzpKSEv29+O9//2t3XXP2799vUY7N33XWnvm3336btW7dms2cOZPNmzeP3XPPPQwAk0gkTttgjjeDVR48eFBf13Tt2lX/PI4fP55FRESw8PBw9sEHH5hso9VqLZ5Jc7vOnj3b6HVkjLebEhISWHh4OLv33nvZP//5TzZnzhz21FNP6duYrVu31q9fW1tr0W4T3l+22kSM8XZ1eHg4i4iIYOPHj2dz585l77//vv7ZzMnJYYcOHTLZxvhYwnn+7W9/YwMGDGB33nknmzNnDvvoo49Yt27dGAAWHx/vdpBUwrOQEEEQLlBRUaGv9IS/Dh06sA8++ICdO3fO4f1otVq9CNG2bVuLxqxKpdI3gu+66y6L7Y07jq1bt2bFxcUmy5cuXapvsNt60f3tb39jAFhmZqaF2FBfX8/69evHALCbbrqJaTQak+XXr19nzZo1YwBY9+7d2Y0bN0yWb9++Xf8CtdfwFBrZ9hrI7goRly9fZikpKfoXlTn/+9//9BlO7EWVt4cjYsj169f1Ak///v0tOr779u1jcXFxDAB74403Gj1OQUEB27Vrl8nyadOmeVWIuPXWW/Xrbd++Xf+7cB8zMjIsnqXKykp956Jfv34WIsv58+f1+1y6dKnFMS9dusQkEom+4fjHH39YrPPFF18wAOzs2bMmv2u1Wta7d2/9sc2v+fnz5/UC1XPPPWf1nIVzS0tLY61atWJXrlwxWd6/f3+nhAhHyo7QgbX33AsiiLX6w/iaW6s/GDM0hhUKBWvTpo3Feb355psMAIuLi2PXr1/3ug15eXkW9dijjz5qUqYmTJjAAFjt3G3cuFEvRtjqbDqTNcOdc7t8+bK+4zpixAjW0NBgsnzlypV6IcqbQoT5PsQiRHz88cesvLxc/1dcXMxWrFih73gkJyezNWvW2NyXs/Xg7Nmz9etXVFTY3O99993HAOsC/sWLF/X3zBqOdsR//PFH/ftm/vz5FsuF93JMTAw7cuSI1X0IdVpWVhbr1asXq6ur0y/TarWssLDQ5F7Pnz9fL6Ls27fPZF86nY49/PDDDOCCoLlYrNVq2c0338wAsPz8fIvrd/LkSZadna1/dznSGRfWfemllxpd1xqOlGPjert79+4m14gxxsaNG8cAsLy8PJdsEDAWIl566SWT59rW30svvdSo/SUlJSwtLY0BYKNHj2ZardZk+fr16/VC7WeffWZ1H409k41dx+7duzPAuhh94MABFh0dbfPd52hdIpTl8PBwi4E9rVbLRo8erb+PpaWlVvchnGdGRgZ79tlnTZapVCq9cDdu3Di7thC+hYQIgnCRbdu26Tu25n/t27dnU6dOZSdPnrS7D+OG1C+//GJ1nYsXL7Lw8PBGhQhrnVaVSqUfcZkzZ47F8hMnTuhfYgsXLrR6/CNHjuiP8fnnn5sse/fdd/XLfvvtN6vbC94W/hYihEZWs2bNLDoEAsIISYsWLSw6yo7giBAheBOEh4ez06dPW11H6JjZWsf4OJMmTbJYvn//fjZmzBhWXl7usv22OkXfffedfp3bbrtN//uWLVv0v9tqEBk3eBYvXmyxvH379gwAu/feey2Wffrpp0wqleob79ae5wceeIC1bdvW4vcFCxYwgAtytkZDPvnkE/01t+b9Y9wRXLt2rcXyL7/80uq9sIUnys6PP/6oX75p0yar+/j+++/162zdutViufGonLU64OzZs/rl69at87oNH3/8sdVjjBkzRv//hAkTWMuWLa0eizH+HACwmdbPUSHC3XN78sknGQAWGRnJLl68aHX7IUOGhKwQYesvMjKSjRs3zuY1E3C2HhQ8aSIiIuzW7wkJCTbLOWOMvfbaa24JEVqtluXn5zMArE+fPlbXaWho0K9jXM8aIwgRAKx6McyePZvNmDGDMcY9L+VyOQPApkyZYnV/V69e1bcXpk+fbrJs+fLl+mPZ8h6YOXOmfh1HhAhBiB0+fHij61rDGSHCVhk2fm8dPXrUJTsYMxUiXPmzZf/YsWMZwEfyzcUh83OMj49n1dXVFsvdESKqqqr0yw4ePGh1+wcffNAtIaK6upopFAoGgI0dO9bqOlVVVSw+Pp4BtoUE4Tzj4uJYTU2NxXKh7ZWWlmbTFsL3UIwIgnCRm2++GUeOHMELL7wAuVxusmz//v148803UVhYiJEjR+L8+fNW9yEEasrJyUHPnj2trpOZmYnevXtbZGEwZ/DgwRa/SaVSNGvWDIDpnFuBuXPnQqvVIjw8HCNHjrS635YtW6JJkyYAgC+++MJk2eLFiwHw+ZhdunSxuv3dd99t125fUFlZieXLlwPg9hjHODDmzjvvBAAcP34ce/bs8bgdjDHMmTMHAI+PkZeXZ3W9Bx98EACf0/zpp5/a3ae1+9auXTt89tlnSE5OdtnW6upqVFRU6P+OHj2KGTNmYNSoUQB4wMqlS5fq1xeeZalUavOe9+nTB1lZWSbrGzN06FAAwP/+9z80NDSYLFuzZg369euHrl27AoDFvN6GhgasW7dOvw9jhGveuXNnm5lLhHuv1Wrx3//+1+o6ABATE6Nf15h77rkHM2fOtLmdOZ4oO8J5paam2pz3369fP0RERACwLL/mWLt2ubm5+sxA1uoQT9tg7Xnu27evSWyYt956y+6cdCHjwi+//GL3WI3hzrk1NDRg2bJlAIAePXogMzPT6vZiqB/9xUsvvYQffvhB/7du3TosXLgQI0eOxH/+8x80b94cU6ZMaTQGB+BYPXjx4kUAPG6TrZgNAPTH+/XXX60uf+qpp/DDDz80apMt1q9frw/yK9T15oSHh+Pee+8FwOM3HTlyxOb+CgsLrcagevrpp/HKK68AAJYuXYpr164BgH6/5gjz8QHb7/qoqCir9QTg/LMsxNoS7os3kcvl6N27t8XvLVu21H+3Vr+5wsMPP2zyXNv6ayy1e1VVlb4OGTJkCOLj462uJzxD1dXV+Pzzzz1yDgLG8cVslYc333zTreMuXbpUH5vEVnmIj4/Xt3E///xzVFVV2dxf7969LdrkgOFel5aW6ssC4X8i/G0AQQQyycnJ+OCDDzB9+nR8++23WL16Nb7//nt9JckYw8qVK/HTTz9h8+bNJo2F6upqfWe3U6dOdo8jBK6zR/Pmza3+rlQq9cczZ/PmzQC4EKJWq20GjUpNTcX58+dNgmZevXoVR48eBQB06NDBpl2tW7du1HZvs3XrVn1QxWbNmtk8z7i4OP33Xbt2oXPnzh614/DhwygtLQUAu/tu3rw5FAoFampq9PfIFsYNKU9iKyhifHw8nn32Wbz55pv6ZwswPEtC0DVbdOrUCRcvXsTu3btx7do1kwbD0KFDMW3aNFRVVeGXX37RB5S7ceMGfvzxR3zwwQeorKzEjh07sGnTJly/fl1/rF9//RWVlZUWjWTjclZYWGjz3stkMv13e8Fhmzdvru94uoqnyo4QzLOoqEifyccaSUlJKC0ttXteSqXSpnClVCpRV1dntQ7xpA3x8fHIyMiwuVwgMTHR5P/6+npcv35dHwhVyLhQUlLS6L7s4c65HTx4UN+4Fnv96C9atWqF/v37W/w+btw4PPjgg7jrrrvw9ttvo7i42ET0tIYj9aAQ7E4qldpdr0ePHli3bh3+8Y9/4MqVK3j++edN7lNWVpZeUHWFTZs26b/bew8YL9uyZQtatWpldT1Hzl2onyMjI5GcnGyzHhTqgCNHjuDGjRuIiYkBYwzbtm0DwMtCVFSU1W1zc3MRGxtrNaigNYT74Oj67pCfn4+wMMuxV+N3mLX6zRXy8vKsPtfm2OrYGy9Xq9UAHH9ONm/ejKeeespBSxsnISEBLVu2xNGjR/Hcc8+huLgYTz31lH6AC+DX1p3U5M6Uh2XLlkGtVmPbtm0YNGiQ1fUaawsD/F5bEysI30NCBEF4gOjoaIwaNQqjRo1CQ0MDNmzYgE8//RRr164FYwxXrlzBmDFjTEbZz549q1ebbY2WOYOtSlV42ZuPMAOG1Itnz55FSkpKo8coLy8HY8wkOjgAu50HYdTDnxinmHz66afx9NNPN7qNIBh4y47GGrKZmZmoqalpND1mY54yrjJz5ky0b99e/7/QgC0qKrLwKBG8J4DGz0tYrtVqcfbsWRNxrkuXLkhPT0dJSQnWrl2rFyI2bNiA+vp6DB06FJWVlXjttddQX1+PDRs2YPjw4QC4h0Rqaqp+RE/AuJx9/vnnDo3c2Lv3nrjenig7xtf8559/dqj82jsve40yW3WIp21w5tr+8ssv+PDDD/Hzzz/bTKPsTtpHd8/NOPq82OtHMTJkyBDcfffd+O9//4vPP/8c48ePR9++fW2u78izI0T2N04Nao1Zs2bh0KFDuHDhAubPn4/58+ejdevWGD58OEaNGoV27do5dzJmOPoeMF5m7z3gyLkL22s0GqSlpTW6vk6nQ3l5OXJzc1FVVaXvpDcmFCYkJDgsLAj3oa6uzqH13aGx9hFgvY3kTxx9ThITExEVFYX6+nqvpNOeN2+e/t373nvv4b333kOXLl0wfPhw3HPPPW6JEIDhPIUsGbZwtDwE4r0OZUiIIAgPExERgUGDBmHQoEHYsmULBg8ejBs3bmDv3r04ePCgvuNVW1ur38bWCIMzWFP7G0OwoaCgQO+G3BiCEGHc2LBnv61pEL7E+Fq/9dZbuPnmmxvdxpVUjM7Y0dg9F5Y3lk7NlfvuCJ07d3Y4zZ8r5wVYnptEIsHgwYOxYMECrF27Fh988AEAPi2jY8eOyM7ORnZ2NnJzc3Hu3DmsWbPGRIgYMmSIxfUwtm3kyJF48sknGz0fWy6wgGeutyfKjvF59ejRwyI1mzXsjQS7U3/42oZ3330Xr776KgBg4MCBGDZsGJo0aaL3VNmwYQPee+89h/ZlC3fPLZDqR7EyYMAA/TSpFStW2BUiHHl2hPtgLeWwMS1atMC+ffvw0UcfYd68ebh06RIOHz6Mw4cPY9q0abjlllvw8ccfN+rJaAtH60t7daUxjpy7cMy4uDisWrXKETP13hGOPsuAc8+zcB+EqV/exFvvSW/i7Hu1vr6+0faCK/To0QMHDhzArFmz8Nlnn+Hq1avYtWsXdu3ahcmTJ2PQoEH46KOPXBYkhPN0p+1gTCDe61CGhAiC8CJ9+vTBc889hxkzZgAAjh07phcijFVb4xzMvkQul6OyshLh4eEOuRIaYzyNwZ79jszvbQzjeYquYHytmzdv7vS5egpn7rmw3F6nWCy4cl6A9XMbOnQoFixYgFOnTuHYsWMoLCzEt99+a+JuOmTIEMyePRvfffcddDodTp48iZMnT+If//iHXduSk5P9du+N8UTZMT6vuLg4v5yXP2zYt28fJk+eDACYOHEiPv74Y4t1/vjjD7eP4+65+bJ+DFays7P138+cOeP2/oRpXIK7uz0SExPxxhtvYMqUKfjpp5+wfPlyfPnll6iursa2bdvQs2dP7Nq1y6WpNeb1pS2PhsbqSleOqdFovPYsA849z8J9sDeVL5TxVXvBkfZVdnY23n//fbz77rvYsGEDvvjiC6xcuRJ1dXX4/vvv8dtvv+HQoUMOeduYI5ynu20HIjAh2YggXGDmzJlIT093qEHTvXt3/XdhDjPAYxUIyu2lS5c8b6QDFBQUAOANd2PbHCE3N1cf8Ovy5cs216usrGx0X8JIpi13OXdVfuE8AdgMHOoLjO1o7J4Ly911e/QFCoVC77re2HkJgcnCw8ORm5trsbx///76eA3ffvsttm/fjvLycpPYD8L38vJy7NixA2vXroVMJsPtt99usT/jcubPe2+MJ8qO8TX313n5w4YVK1bo66pnn33Wa8dx99yMParcrR+dpb6+Hlu2bDGZHhKIGHeQ3I3LAhhcu6urqx1+34WFheG2227Dp59+ij/++AOTJk0CwKcTvPXWWy7Z4eh7wDiIo7vvAeGYKpUKZWVlTm0bHx+vn19v71kGYDeIoDnCs+9OvI1gxtHnpLKyUt9Jt/aceLJ9FRkZicGDB2Pp0qU4f/68PrhkRUWF3oPRWYTzrKurs/v8eLI8EOKBhAiCcIHa2lqUlpaiuLi40XWNG1M5OTn673K5XB/dfffu3Xb38cQTT+Cee+7xuOeEMAf/+vXrOHTokM31duzYgYiICJPOYEJCgj541t69e21uay/at4AwImTrJXTixIlG92GPW265Re82vXPnTrvrDho0CBEREXaD6rlKy5YtkZ6eDsD+PT916pS+cSDcI7Ej2Hns2DHcuHHD5npCnJSbbrrJ6lzO2NhYvQv22rVrsWbNGmRmZpoEserTp49+lG7NmjVYs2YN+vbta3Vkzbic7dq1y+7oz9///ndEREQ4lf3CFTxVdoRrfuLECbsd2i+//BIRERF45plnXLDWPr62wbgTZasDY+zSbA17GROMcefc2rRpox+1c7d+dJaSkhLcdtttJplGAhFjAUjI3OQOQhC7hoYGXL161eZ6f/vb3/Dbb79Z/B4XF4eZM2fqs9xYe2c68mwZ1+n23gPGMaUcnSbnyDHtvQMvXboEmUxmEgdDIpGgR48eAHj9bqsdcv78+UbLnjFCbBfjDjdhwLjdYu85MV5mrb3gTvuqqqoKf/vb36yuk5ycjEWLFuljnNlrQ9rD2fIglUpxyy23uHQsQnyQEEEQbvDll182us769esB8Mjq5mn6JkyYAIB7JNhKNbd//37MnTsXly5d8kgsCWOeeOIJ/ZxOe43WBQsWQKvV4r777jP5fcyYMQB48D1bHfevv/66UTsKCwsBAMXFxVZV+2+//bbRfdhDqVTqlfv169fbDJh37tw5bNiwAfn5+frOqyeRSCT6KQbbt2+36W4spOwKDw/H448/7nE7vIEQAFSlUtm85z///LN+VEN49q0hCF5bt27Fl19+iSFDhpg08GUyGQYMGAAAWL58ObZt22YzpZzxsSoqKvDdd99ZXaehoQGLFy+GRCLRpyj1Jp4oO8I112q1drMKzJ8/32r59QS+tsE4WJ6tBnRjqXdjYmL0343jBcycORNFRUXYt28fAPfOLSIiQl/nbNu2zeaIpiP1Y6iyZs0a/fc77rjD7f0Zi5n2BhGmT5+Or776yuZy4Rk0jsIvIDxbxs/V6dOnUVRUhKlTpwLg5yKM6Ap1vTlarVbfvujbt6/b2ZEefPBBvTBm712/aNEiqNVqixSfQn1VX19vkTpZwJlnuaysTC9a2EpfHOoYt1u+/fZbm54LwjMUHx9vNf2l0L46fvy41e3tta+qqqowffp0m+lqhSDWgr3mWCsPP//8M4qKijB37lwAps+mrfJQU1Ojt/Ohhx6iqRlBBAkRBOEG7777LtatW2dz+RdffIEFCxYA4LmWzd1LH3roIf3o78SJEy1eNDdu3MBjjz0GgI/SeJq8vDy8/vrrAIB//etfJmmUBFasWIEFCxagU6dOFo2TCRMm6NM4PffccxbRr3ft2oWFCxc2ascdd9wBiUSCuro6i8ZMcXExVq5c6dR5WWPGjBlIS0vDjRs38Mgjj1hE1L927RoeeOABaLVazJgxw+FRU2d56aWX0LJlS2i1Wjz55JMW03sOHjyoH5GfMmUK8vLyvGKHp+nduzfGjh0LAHj11Vct5unX1NToR4z79euHhx56yOa+hgwZAoA3xs+dO2dVZBB+O3fuHLRarX4baxiXs2eeecYib71Op8Nf//pXHD16FE8//bTVKSOexpGys3r1arv7ML7mU6ZMsToi9cEHH2Djxo34y1/+oh/V9CS+tmHEiBH6svnaa69ZCJfbt2/HkiVL7O4jPz9fvw/jUfdNmzbh+PHjSE1NBeD+ub3++utQKpXQaDR49tlnLebPr1mzxu77I5RZtGgRvv/+ewBAt27d7AqNjnLTTTfpOzCNjd4uWLDAJLuNwNmzZ/Hzzz8DgFXBUvC6MH6udu/ejePHj+sHEsLCwjB37lyEhYVh06ZNWLRokcV+3n77bZw6dQoxMTGYPXu2g2doG4VCgQ8//BAAsHLlSqtlZNu2bXj77beRk5ODiRMnmiy7++679UGeX331VYt0tsXFxZgxY4bDU2iE6y+RSALG688fCO2WqqoqPP/88xYefRs3btTfy48++siql+HAgQMB8ExD5tPMVq5c6VCmjQ8++MCqR8Xvv/+u9+pytDzs2LEDx48f19tq/Gz+5z//sRA9dDodnn/+eVRXVyMtLU0fc40IDihYJUG4QGZmJiIjI1FfX49Bgwahd+/e6N+/PzIzM8EYw4ULF7BhwwZs374d4eHhmDp1qtUR4LCwMKxcuRLDhg3Dli1b0LZtW4wfPx5ZWVk4d+4cFi9ejAsXLuCtt97CnXfeqd/uwIEDOHDgALZv367/TRixGz58OGJjY/HDDz+gtLRUP/ov5GKPi4vDsGHD9NtNmTIFNTU1+OCDDzBgwAA88MAD6NGjB27cuIGff/4Zq1evRvPmzbFy5UqLRkZMTIw+zeL27dvRqVMnjBs3DklJSdi7dy8WLVqE9957T3/u27dvR0REBHJzc9GrVy/9fpo1a4ann34as2fPxvjx47F79260bNkSZ86cweLFi7Fo0SL069fPZB95eXm45ZZbsH37dpw+fdrqtbjlllv0Hfm0tDRs3LgRgwYNwnfffYd27drh4YcfRnp6Ok6fPo3FixejpKQE06dPx4gRI5x6HuzZYHxPAB4hfMOGDRg4cCA2bNiAjh07YvTo0UhOTsbBgwcxf/58XL9+HS+88IJeJBKwd9/N76szrF69GrW1tSb7/eGHH/Riwu233+5QEKp///vfqKurw5dffokOHTrgscceQ/PmzfHHH39gwYIFOH/+PPr06YOvv/7artCTk5ODDh06YN++fYiOjtbfe2MGDx6MsLAw6HQ6dOjQwWTakzm2yllRURFKSkqwevVq7N69G3/5y18sAl4K5UgYQS0tLdVf8/z8fIcysFijsbKzbNkyLF++vNGRYONr3rVrV4wdOxYdO3ZEZWUl/ve//2HTpk3o3r27xSio8MweOHAAAJ+eJZyXIBIJz4UQNf/AgQNYunQp0tLSTOJxeMMG82MItG/fHlOmTMGbb76J77//Xi+QGtc5eXl5em8J83oR4IEIBw8ejG+//RZ//etf8cQTT+DIkSNYv3497rjjDpN0yq6eGwCkp6dj1apVGDJkCL7++mvcfPPNeOCBBxAbG6v39pk5cyaee+45AIYy16pVK3Tq1Ak1NTX6UcPDhw/r99vY1CHzaSTCfbT2DJu/L44ePWpyfyIiItyqWwTs7V+goaEBJSUl+N///octW7YA4HX4qlWrTOoLV+vB8PBw3H333ViwYAE2b96McePGWV0vLi4OlZWVaN26NUaPHo1WrVohIiICx48fx5IlS1BVVYXhw4dbdNYB4OGHH8Y333yDr7/+Gi1atEBcXBzee+89REdHm3jM9O3bF8uWLcPYsWMxfvx4rFu3Dv369UNDQwPWrFmDDRs2QKlUYtWqVSgqKjI5hnA/zd/tANCuXTub6UXHjBmDK1eu4OWXX8bo0aOxcuVK9O/fHzqdDrt27cKyZcuQnJyMNWvWWIw4SyQSrFixAn369MHJkyf19Xt2djaOHz+OuXPn4oknnsDy5ctx7tw5fV2RlJSk7wgbI9zf/v3760fUHUW4/8bP0urVq5GcnKw/f1v1tvHzYe7lJDyPztTrQh0mpPoV7DOvS40Rlgn1nrH95sc2brcsWrQIR44cwb333ou4uDjs3LkTixcvBmMM77//PkaPHm3VxgceeAD//Oc/sW/fPtx666148sknkZqait9++w2bNm3CzJkz8cADD5jYcfPNNyM/Px9SqRQymQzFxcUoKCjAmDFj0Lx5c2i1Whw8eBBLly5FQ0MDJk6caLXcPfzww9i/fz/mzJmDhIQEqNVqvPvuu0hNTcXgwYP16xk/m4MGDcKYMWPQvXt31NbWYvny5di5cydycnLw/fff64Vi8+tp/p4SrmVpaSl++OEHq8+LcRuR8BOMIAiXuHr1Kvv888/ZE088wbp3787S0tKYTCZjkZGRLCkpiXXr1o299NJL7OjRo43uS6fTsaVLl7IBAwawlJQUFhERwVJTU9ldd93FNm3aZLH+1KlTGQCrf2fOnGGMMda7d2+ry3Nzc63asHXrVnb//fez7OxsJpVKmVwuZ127dmV///vf2fXr1+3aX1payiZOnMiaNGnCpFIpS01NZYMHD2Y//vgjY4xZ2DBy5EiLfWi1Wvbee++xVq1aMZlMxpKTk9nw4cPZvn37rO7jwQcfZIwxNmbMGJvXYtGiRRbHuXbtGpsxYwbr0qULUygULDIykmVnZ7P777+fbd++3e552sKeDcb3xBiVSsX+9a9/sV69erGEhAQmlUpZVlYWu++++9ivv/5q9Tj27rut++oIubm5du3fvHmzU/tbu3Ytu+uuu1haWhqLjIxkycnJ7Pbbb2dLlixhOp3OoX28/vrrDAAbOnSozXVuvvlmBoC9/vrrDu3TWjlLTk5mAwYMYMuWLbO6ja1yBICNGTPGoePaw7zsZGRksHvvvZft27eP6XQ6/bGWLFlidz/ffvstGzZsGEtPT2cRERFMqVSyXr16sTlz5jCNRmOxvr1nVsDWc9G7d2+v22DrGAJr165lt99+O1Mqlfr6ctCgQWzt2rVs0aJFjZbBK1eusHHjxumf0WbNmrFnn32WVVVVeeTcjDl9+jQbM2YMy8jI0N/je+65h+3Zs4edOXPGwtZJkyYxxpjVZc78TZ061e59dOR94W7dImBv/8JfeHg4i4+PZ23atGGjR49ma9assVpfuFMP7tmzh0kkEqZUKm2+12pqatjChQvZyJEjWV5eHouOjmYREREsLS2NDRo0iH355Zd2jzFnzhzWqlUrJpVK9XXfrl27rK579uxZ9uyzz7LCwkIWHR3NYmNjWZs2bdirr77KysrKrG5j734K99wehw4dYo888ghr1qwZk8lkLCYmhrVv35699tprrKKiwu62NTU1bPLkyax58+ZMKpWyxMRE1rdvX/bVV19Zta1z584W+9DpdKywsJABYKtXr27UXnPs3X/h/B1p/3iiXm/s3W8Ne+vbOrbQbrnpppuYQqFgMpmMNW3alI0fP54dPHiwUTuvXLnCJk6cyHJycphUKmU5OTls4sSJrLy8nG3evNnCjnnz5um3LS8vZx9//DEbMmQIa9KkCZPJZEwqlbLs7Gw2cuRI9r///c/mcbVaLXv77bdZfn4+i4yMZOnp6Wz48OHsxIkTVtc/ePAge+SRR1jTpk2ZTCZjCoWC3XTTTeydd95h165dc+p6CtfS2vkJf9baiIRvkTDmZKh8giAIgiC8Tk1NjX5k8rvvvsOgQYP8bBFBBD6jR4/GkiVL8P777+PFF1/0tzkhx8qVKzFy5Ej07t1b7xlBEERoQkIEQRAEQfiB/fv3Izs7G0lJSVaX7969Wx809dy5cx7JHEAQoU5FRQW6du2KK1euYNeuXfpgfoT3KS8vR+fOnXH9+nXs3LmTMmYQRIhDwSoJgiAIwg/ccccdmD59us3lQtaADh06kAhBEB4iOTkZ3333HeRyOQYOHIiTJ0/626SQoLS0FAMHDkRNTQ1Wr15NIgRBECREEARBEIS/+Oyzz6ymEjxw4ABmzZoFAJg2bZqvzSKIoKZly5b47bff0KxZM7zzzjv+Nick+Pe//w3GGHbs2GESrJogiNCFpmYQBEEQhB/IyMhASUkJ4uPjMXr0aLRs2RJhYWH4/fffsXTpUqhUKsycOZPmsROioLq62iLNbGNIpVIkJiZ6ySLPcObMGX0qXcJ7nDt3Djk5OQgLozFQgiA4JEQQBEEQhB84d+4cli5dik2bNuHo0aOoqKhAWFgYMjIy0Lt3bzz77LPo1KmTv80kCADA2LFjsXjxYqe2oYCEBEEQhC1IiAhCdDodLl26BLlcbpJ7myAIgiAIwhWOHTuGy5cvO7WNUqlEx44dvWQRQRAEITYYY7h27RoyMzMb9YCK8JFNhA+5dOkScnJy/G0GQRAEQRAEQRAEEWJcuHAB2dnZdtchISIIkcvlAPgDoFAo/GyNfXQ6HcrLy5GSkkLzBomQhMoAEepQGSBCHSoDRKhDZSB4qKmpQU5Ojr4/ag8SIoIQYTqGQqEICCGivr4eCoWCKh4iJKEyQIQ6VAaIUIfKABHqUBkIPhwJD0B3miAIgiAIgiAIgiAIn0FCBEEQBEEQBEEQBEEQPoOECIIgCIIgCIIgCIIgfAYJEQRBEARBEARBEARB+AwSIgiCIAiCIAiCIAiC8BkkRBAEQRAEQRAEQRAE4TNIiCAIgiAIgiAIgiAIwmeQEEEQBEEQBEEQBEEQhM8gIYIgCIIgCIIgCIIgCJ9BQgRBEARBEARBEARBED4joISIbdu2oUWLFpBIJDh79qy/zSEIgiAIgiAIgiAIwkkCQoioq6vDpEmTcOutt+LEiRMOb7dz504MGzYMKSkpiI6ORuvWrTFt2jSoVCq7212+fBlPPvkkmjRpAplMhiZNmuDJJ5/EpUuX7G6nUqkwffp0tG7dGtHR0UhJScGwYcOwc+fORm1dtmwZevbsCYVCAYVCgR49euDzzz93+FwJgiAIgiAIgiAIIhAQvRBx+vRpdOjQAV9//TXWrVvn8HbLli1Djx49UFpaipUrV+LQoUMYP3483nzzTfTq1Qu1tbVWtzty5Ajatm2Lb775BrNmzcKxY8cwa9YsrF69Gu3atcORI0esbldbW4tevXrhjTfewPjx43Ho0CGsXLkSpaWl6NGjB5YtW2bT1qeffhoPPvggCgsLsW3bNmzbtg2FhYV46KGH8PTTTzt8zgRBEARBEARBEAQhdiL8bUBjHD58GP369cM//vEPxMXFObTN6dOnMX78eCQlJWHdunVQKpUAgEmTJkGlUuG1117DCy+8gHnz5pls19DQgJEjR+LKlSvYunUrbrnlFgBAs2bNkJ6ejp49e+Luu+/GgQMHEBFheumef/557Nq1C9OnT8ekSZMAAPn5+Vi3bh1atGiB8ePHo3v37sjLyzPZbunSpZgzZw4GDBiAhQsX6n9ftGgRLl68iDlz5qBHjx548MEHnbpuBEEQBEEQBEEQBCFGRO8RMXjwYHzyyScOixAA8M4770ClUmHcuHF6EUJgwoQJkMlkWLhwIc6fP2+y7IsvvsCxY8fQrVs3vQgh0KNHD3Tv3h1Hjx7Fl19+abLs3LlzWLRoEWQyGSZMmGCyTKlUYvz48VCpVJgxY4aFrW+88QYA4IUXXrBYJggawjoEQRAEQRAEQRAEEeiIXogIDw93an2tVouVK1cCAPr162exPD4+Hl26dIFOp8OKFStMln311Vc2twOA/v37A4CFEPH1119Dp9Ohc+fOiI+Pt7nd119/Da1Wq/99z549OH36NCIiItC7d2+L7W699VZERkbi1KlT2LNnj81zJgiCIAiCIAiCIIhAQfRChLOcOHECVVVVAICioiKr6wi/79q1y+R3Iaikt7arrKzEqVOnLLZr0qQJoqOjLbaLjo5Gbm6u1WMSBEEQBEEQBEEQRCAi+hgRznL69Gn99/T0dKvrZGRkWKxbW1uLsrIyh7YrKSnBjRs3EBMTY7IfW9sZ/3769Gm0aNHCoe2EY546dcrEVnNUKpVJJpCamhoAgE6ng06ns7mdGNDpdGCMid5OgvAWVAaIUIfKQOO88ooE99/P8NFHEsycyfDKKxJMmMCwdSugVgPPPedvCwl3sFUGrlwBJk2SYMECBicdhAnCoyxYAAweDMyfDwwcCHTu7Nn92yoDq1cDublAx46ePR7hPZx5lwedECF0wsPDwxEZGWl1HUFAqK6uttgOgFXvBOPthG2F/4VtbW0XHh4OmUwGlUpl9Zi2trNlqzkzZszAm2++afF7eXk56uvrbW4nBnQ6Haqrq8EYQ1hY0DnoEESjUBkgQh0qA/bRaoH33ktHdnY1fvwxDjt3VmPJkkS0bn0N338vAwDcf3+Vf40k3MJWGTh6NAJLliTj//6vDElJzI8WEqHO44+n47PPKvH++/FQq68jJ+e6R/dvqwy8+GIyhgypR1aW9WyHhPi4du2aw+sGnRARirz66qt48cUX9f/X1NQgJycHKSkpUCgUfrSscXQ6HSQSCVJSUqgBSoQkVAaIUIfKgH1u3OCfUVEKZGZK0NCQgKQkICxMDplMAokESE1N9a+RhFvYKgMXLvDPsLAU0C0m/E1YWDwyMiS4cSMOqamxHt23rTKQmChBQ0MsUlNj7GxNiImoqCiH1w06IULoeGu1Wmg0GqteETf+fKsbB5Y07rDX1dVZ3bewna1tbW2n1Wr1Uyec2c6WrebIZDLIZDKL38PCwgKiUSeRSALGVoLwBlQGiFCHyoBtNBr+qdWGITkZuHpVgqQkoLaWixAAEBYm8Z+BhEewVga0WiAuDqisDAMVDcKfSKXAH3+EISUFOHfOO3WOtTIglwO1tVTHBRLOvMeDrlrLz8/Xfy8pKbG6zuXLly3WjYuL048oNLZdenq6yTQNYT+2tjP+3fiYjW1ny1aCIAiCIEIDIbu3Wg2kpADl5fhTiDCsw8hrP+iYNo3f88RE4OhRf1tDhDpFRcCJE4BSCVy96rvjJiUB+/b57niEbwk6IaKwsFDvPXDs2DGr6wi/d+nSxeT3rl27enU7pVKJgoICi+3Onz9v1Suirq4O586ds3pMgiAIgiCCn8pKYMgQ3ilVKoFDh3jnVJiGq9EA1sYz1Goe6I0IPLRa4PXX+b3t3Nm3HT+CsEZGBlBdDUgk3EvBVyQnA1FRwJYtgFHiQSJICDohIjw8HCNGjAAA/PjjjxbLq6ursWvXLoSFhWHkyJEmy0aNGmVzOwDYuHGjyXoCI0eORFhYGHbv3m01qKSw3YgRIxBuFPa4c+fOyMvLQ0NDA3766SeL7X7++WdoNBrk5+ejU6dONs+ZIAiCIIjgYtky4Phx7u0gkfBOafv2QGkpFyIEj4guXfhv5pSXA8OH+9ZmwjOo1YbPlBTAKJ46QfiF0lKgocHgfeUrLyyNhk8LmTQJ+Ne/fHNMwncEnRABAJMnT4ZUKsWiRYsshIHZs2dDpVJh7NixyM3NNVl2//33o7CwEDt37sS2bdtMlm3btg07duxAixYtcP/995ssa9q0KcaMGQOVSoVPPvnEZFlVVRUWLlwIqVSKyZMnW9g6depUAMCsWbMsln3wwQcm6xAEQRAEERqMHQts2MC/R0QA16/z0cHKSlOPiPh4PlJpjhBbAgAmTPC6uYQHEYQIjYbfczuJ0wjCJzRpAly6xEXRsDDg4kXfHFetBiIjAYWCi6tEcBEQQkR5eTlKSkpMYilY+02goKAA8+fPR0VFBQYOHIitW7eiuLgY77//PqZOnYrOnTvjn//8p8V2kZGR+Prrr5GYmIiRI0di5cqVOHv2LFauXImRI0ciMTERK1asQESEZYzPDz/8EJ07d8aUKVPw/vvvo7i4GFu3bsXAgQNRUVGB+fPnW43zMHr0aDz++OPYsGEDxo8fj8OHD+Pw4cMYP348NmzYgMcffxwPP/ywexeQIAiCIIiAIiHBMBLOAxby+dJXrnDXaKGzqlBYHzEXlgPAJ59QHIlAQhCRqqu5RwQJEYQYSE7mIkTHjsAff/jmmBoNoFLxOtCJrJBEgBAQWTO6dOmij5UgIMRXAABm5e368MMPo3nz5pgxYwbuuusu1NbWolmzZnj99dfx8ssv20wt0qZNGxw4cABvvvkmnnvuOZSVlSE1NRVDhw7F1KlTkZWVZXU7uVyOX3/9Fe+99x7mz5+P1157DbGxsejRowd+/fVX3HzzzTbP79NPP0WvXr3wySefoHv37gCAtm3bYsmSJXjooYcavT4EQRAEQQQXxp4OghChVPJPqdR0vf37uTjRuzf0mTSEzqzQRLp2jYsWhPipr+ef584BubnA4cP+tYcgAF5/CIKor8QxtRrIyQHOnjXUbUTwEBBCxNmzZ13arnv37vjmm2+c3i4rKwtz5851eruoqCi8/vrreP31153e9qGHHiLRgSAIgiAIAJZCxOnTPGibSsWFiPPnubu0QsEDG7ZvD/zvf0BaGt9GECKEkcurV0mICBSE+OUVFTxbQUaGf+0hAoOHHwZmzeKeC94gLg64cMH2dDBvoNMBeXk8c0bLltwjbMYMYOZM3xyf8C4BMTWDIAiCIAgilIiPB4qLuUdDXBwXEiIjeawIqZSPEjIG9OjB1+/WzbRzIAgRJ07wz+PHfWs/4Tp1dUB0NBciBO+XCROAvXv9axchbpYu9c6UCa2WeyPExvI4Eb4UIgCDJ5hCARw5Arz/vu+OTXgXEiIIgiAIgiBERkyMYVpFbCwP1CZ0SiMjeQDLhga+HsA9IYw7B2o1jzMxbhzQpw8Fegsk6uqA9HQuRERG8t/mzAF27fKvXYT3OHAAWL/e/f1UVLi/D3OEzBXp6UBZmX+EiKoqHqT3/Hn+mzfOk/A9JEQQBEEQBEGIkJgYPhKpVPJ4AZGR/H/G+Ih5fT0gZAU3n7ctZFy4fBl4+WXekCcCg7o63uk6dMggPiUmcrd0Irg4coSLhCtXAg8+6P7+vOERodHwuictjdc5vhYiFArulZGaCuzcyT3EBEGCCGxIiCAIgiAIghAhV67wqRhNm/L/pVIuPDQ0ADIZjxchEB/P3aYFBCGioYGLFJWVPjWdcIPt24EuXfjoc2QknycfH09CRDAybhzw3HO8vCoUjWe3kUhsiwAKBXD0qOdtFIQIwfsqKwvYvdvzx7FF27b8s0ULLtrk5JBHRLBAQgRBEARBEIQIadeOezLExvL/BSFCq7UUItLTTUcJNRrecAe4RwVNzRA/L70kwbx5/L7edpvBJT4uDqitJSEiGCks5IFo1Wo+4u+Ip8Hly9Z/z8vzTopLtZo/h/37A19+yVPK3rhhPW2wNxCCbyYkcLE1Jwe4eNE3xya8CwkRBEEQBEEQIiQ2lntExMXx/yMiDLEh4uOB0lL+u1YLZGfzdQU0Gp76EeDL9u8HXnkFWLDAt+dAOM6uXcAvv/B7l5jIf4uM5B0vIYUrEVxoNPzeqlQ8O4ojiQLLyqz/npjonWdE8IhITQXuuYf/9tNPgK+S/WVmcuFDqeTeQi1a8GlLROBDQgRBEARBEISI0OkMUepraw0eERIJd+Vu0YJPt7hxg/8eFsbdso1HQ9Vq7iUBcJdqpRLYtAnYscOnp0I4QVwcHxFXqw1ChFTKvV90Oi44EcGF4G2gUnHviDNnGt/GVgacmBhTMdJTCEKEMTqdqUeWt4mO5p4RGg3Qu7chxS0R2JAQQRAEQRAEISIEl3zBI0IQIgDg44+BQYMMsSIE5HJTIUKj4V4TxkRHUwNezISH8w6eWm24d1Ip/1Or/Wsb4R0aGvh9V6u5wGjPo0Gn4wEjbU1LkEj45223AV984Tkb1WpLIUIi4X8XLnjuOI0heHilp/s2WCbhPUiIIAiCIAiCEBFCw1+IA2EsRAgIUzQErAkRkZGG4HeMAVFRPOo9IV4kEn7/o6L4/5GR/E+j8a9dwciePbyM+SrWgS3Cwrh3U1qafSFCo+HTFOxlwKmsBIqLPTt1QRBGzene3bexZwShJSWFe4oRgQ8JEQRBEARBECJCEBGkUu7BIESrNyYiwtRVPyLCdH65tc5DTAxw6pRXTCY8xNmzvHMn3DupFOjWjc/Hl0j4qDjhGWpquOhTUuJfO5KTgR9+4CP9Z8/yFJXW0Gj4Olev2t5XTAwP6mgeR2LzZtftszY1A+DTw/yRvSImhspBsEBCBEEQBEEQhAhgDDhyhHtBREZyF+uvvjKMBBrTvDkwYIDpb5mZhu/m7tRaLR9JtSZqEOKhd2/eiRSEiMhIoF8/4IMP+HQNckn3HGo1LzP+zCjDGNC3L/dkSE0FPvuMl2trmTGElLzV1cCrr1rfX24ury+Ki01/79vXdRutTc0AuBBx7pzr+3UVwVuICHxIiCAIgiAIghABFy8CrVtzl/HISKCoCLj7buvrDhgArF1r+luYUavOfBTz1VeBRx7hnQdCXMydC1y+zG+eXM5HmQUhwliESkqiFJ6eQojFkZ3tWIBIbyKUycREPuWgoMCQEccYIbAlY8C771r3RkhK4kKFsTeUu9N6bE3NyMmxFDy8zYkT/BzLyw3TzojAhYQIgiAIgvACjPFGE0E4ihCQ0Ng1X8DRRvfSpcBHH1kKET17cvf+MGr5iY6nngrDwYP8ZikUXGyIjOTeMAkJhvVIiPAMN24YAkR27mw7C4UvkEgMGVKENL3Z2dbvsyAICAEif/3Vcp2UFF5/NDQYvGeE9V3NcmFrakZurmlcGm9gXu81b86vWV6e/2N7EO5DryOCIAiC8AI3bvAo6AThKBqNaUfUWWpqgCee4PPBbXUeCHEhxOwID+c9Lrmcu+mHh3NvGON7mJRkPz4A4RhCClu1mnsg/fabf+3JyTH9PzvbureDUKaF7BHmcSAAYPRo4JtvgE6dgEuXDNsBXJj4979tx8Q4fdp6+k9bUzMSEuwH13QXIY2xNTIygA8/NKQwJgITEiIIgiAIwgtQlHvCWRoaDAHgXBERzpzh4lfbtrbdqaurvT+KSThOaSnQti3D1athiIzkQoRGY70DRh4RnkGom9VqnqnCWjnxJcaxXQDrHhGbNhkEgbg4brO12BbJyTweREKCQbQSPK0WLQKeegrYutW6HT17AitWWP5uS9SMi/NuXdLQYLse/L//4yLesWPeOz7hfUiIIAiCIAgvQEKE75g/3zRjRKCi0bgnRNTXAx06GLIBWNtH586GkVLC/6hUPEhhaWk4IiMtR8eNISHCNS5cMM2yIKS9ra8Xj9fQhAn8MzmZx4hYt850eb9+BkEgOpoLDfv22d5fYiLwn/8At9zC64LHHgOOHuWBHm151dTUmKYG/c9/uPfFTz9ZF2skEsO0D29gz6srNRXo0sU/WTsIz0FCBEEQBEF4AUGIsJfznfAMjz0G7N7tbyvcp6GBuxzv2uVaB+nhh3mHpbradiM+MZGeSTGhVvPO3v79kZBKeXpGW5AQ4RpNmpjGgRDq5osX/ecNsW0bFwYE/vUv/llSAowaxTv5mzfzP0FEEbycZDL+ZzwtQas1jf+SkMCDoGq1/BkTBM6MDNvPkFzOg2Vu2cKD2165wuuTM2ds10f2hDN3secRAXDRhoSIwIaECIIgCILwAsKom78jsocKweCBotEAzZoZouM7y8yZwL33AgcP2hYilErvzusmHOfRR7lHRFERQ22tBFIpT9Fpi8REEiJcxTj2gUbDpz8cOMDLma04BN7koYeAefMsfw8P55+M8cCzTz7JPTcAQ5mOieG/2cuSU1DAPyMj+fQJ4dnJyLCd6SI2Fjh/ni9/913+bGZm8lSitgQBicR72Ss0GiAiwvby5GT7XiGE+CEhgiAIgiC8gNAxpk6fbxDmQQcyGg0XCqqqXHcZj4jgnQdbMSIyM7k7NaW+8y+1tcCCBbyzl5wMXLkSBqnUNEuGOeQR4TrG9XBDA9CyJfc+EMqIr8tDYqL1wJDGnDvHp1HU1fH/Bc+Efv2AF180tdlciBACWhYV8VgSUVFcvGjVylKIqK3ln3l53EtEreYix8GDvL44e9Z2fRQXZ9je0zQWcLdNG0NmECIwISGCIAiCILyARsNTqZEQ4X0iIhpv1AcCDQ08a4Y7QoSArRgRXbsCq1cDL7/s3v4J57h0yTROwdtv80+1ms/5V6l4pzg62vY+YmN5x5TSFjqPcT2s0fApMJcv82seE+P77AtCB96WAFJZyb0NCgsNQoQwleSOO3iwxhs3DOdl3mlPSOBBK4UsPFIp/4yLs3zG5HL+GRPDBYi6Op6x5ehRHvxWuE7WuHaNZ+LwBo1NzTAOyEkEJiREEARBEIQX0Gh4QK2LF007IITniYnxbtA0X6HR8LnfKpX7QoSt0cSsLB6EzlrEfcJ7ZGUBGzca/tdoeGDR6mreyTt/PkLf2Xv6aev7kEi4kDRqlNfNDSoiI4G9ew3/NzRwIeLcOX7tFQrfZ5KJjeVChK1pIe3bcwEgJQVYv56fQ3m5aZlu187gIWNe3iUS4Mcf+bkJ212/zuuXxqir454QJSX8uQVs10cDBvBYFLbeca6mRj1woPGpGVFRvK4kAhcSIgiCIAjCC2g0vKH444/cPdbfueqDlePH+ajy+fP+tsR9hM6ETud+ED17bs3x8RSw0h/U1QH//S8PKqpScff8khLeOUxK0unv1+zZtvcxbZr/000GGs2bG7wKAF42WrXi3wUhwtdeJuHhPP2krXuZksJH+7t35x4Ht99umU0nIcG2R4SAQsG3k0q554MQg8IajHHRorzcIEQIwoWtumTiRJ6Zw1Z90q2ba9Pm2rfnU0jEktWE8A4kRBAEQRCEF9BouAABACdPAmVl/rUnWKmtBV54wbSjEagYuyK70wCPiOBu27b2ERHBo+kTvkWj4fP8v/2WCxG5uTzYnlTKO4H2OonG+CO4YiCTkGDaURamZgD82mdm8sChP//sW7vS0mwLEYLI0Ls3f3ekpxsEBfN1AMeECCFORFWVpfAieDSkpwNff82FAMYMQoQ98Sslxf77zVXR016QTAFvxacgfAMJEQRBEAThBQQ3e2EOcDDEMBAjGg2f9xzoWTM0GlNXZHeEiLg43kGx13mgOAO+Q6gDqqt5ZpPcXD5K3Lo17yTKZEBkJAv4Z1ismHsANTQYyoZUygM/vv667zMw2AooC3CRob6e2375skGIMK4X5HJDClBb8RSsCRHt21vGVhDeT1lZ/Ni33sr/l8mA8eN5lhFb5OTwqRS2cDVO0qVL9qdmAPy8SIwIXEiIIAiCIAgv0NBgaESFh9OcfG/haqpLMfH55/wcPOURIZfzxr+9RjxlzfAdWq1hVL5TJyA/n3tEpKXxkWSplN8rR4WI+nrysHKGsDA+zUDAmuCXmOifwIe2YivcfjuwcyfPoiPEtLAWI6Ixjwi53OB1ExPD68v4eEO2CWH7igrg2DGemeXqVS5aAHy7BQsMWTisUVRk/3l0VYj4/ffG68G8PAoIHciQEEEQBEEQXsC4YdikCbB/v3/tCVYEISKQ07h9/z3Qs6dpB6mhwfX9xcbykVJ7LvypqRTozVdoNHyk+bffeMYCjYY/t2lpQGmp8x4RXbvy0WLCNjod8Pzzhv8VCsN3oW6eN493vAEuRPi6QyuT2Z5SlpHB77NSyf9PS7M+NUPw9LAlRBQVGQKizp7Np7EZCxFCbJ2SEuDmm/k+//jD1MbGSE31vBDRrJml8GINpZKEiECGhAiCIAiC8AJCw/DGDd5YouCA3kEQIiQS3vkIxNgHdXV85NK4M+FOzIvWrRsXGYw7I4R3Uat5GsTaWi5EVFby5zQxkbvES6X8vjsqRNC9a5z6euDDD/l3iYSP8AteQILn0aOPGjraSUnAoUO+tTEpiQestEdMDA94fPPNPEOGccfcuBNuL0YEY/wZ69iRB+mMjzfdTio1iBwFBYZto6Ic88xKT7d/7VwRChITubjR2PGN42QQgQcJEQRBEAThBYSG4QcfAJ9+Sh4R3kIQIjIz+RSYt97yt0XOI0zjETpI4eG8I+UqxqO/tqDOrO/QaAzTZaKj+b1mzNDp40KE4x4RdO8ax1zIi4nhonBDg/W0kAqF76d4NW/umEDdty+QnMy/G3fM4+O5ALB1q30hAjA9t+Rk4PBh/l2t5oKIIES0aGFYr67OscCoGRm8vrrvPj6Nw5jISL7vPXv4lI+jR4EePRrfZ0ICFyIaixGhVPLMSURgQkIEQRAEQXgBoWHYrh3QpQvQsiXNy/cGghChUAR2NgGJhJ9LRIQhqJyrFBUBkyfbX0cuBy5ccP0YhOMIdUFdHb+38fHcI0Iu58ulUi4+kRDhOczLj1IJzJoFDB9uO7Cjr1NFDhjAA0E6gnHMBoHwcN7BHzjQthBhLeZMQYFBqNFouBBx5Qrfd/PmrsXKiIjg0zy2bjX9PSuLx6jo3Bn44QeeQWrbtsb3Fx1t6QFijQ4d+PQmIjAhIYIgCIIgvIB5w1AYkSM8i+BaLJfzxnCgToEJD+eN9MhI4KefgAcecH1fLVsC06fbXycz0zSAH+E9BLGsvp53KBUKPk0j7M9WeGQkUFDQgMxMx/YnjIQTtjH3iJDLge++454A1jwi/MGtt/JsHY4giKzmHfPvvuOdfFtChIAQawIwFbKMPSKE7RMSHLPJnIQESxEjL4/fi7Aw7hHk7JSzxoSIjAxg1Spg4ULn9kuIAxIiCIIgCMILmDcM5XJKM+YN1Gp+neVy3pkPxPnCjPGUeuXlvIPUuTMPAOdNMjIopayvEOqC4mL+qVCYejRIpcD779dg2jTHXKZataK6pDGEDq8QM6ZTJz49Limp8U67mDH3+ho0yDK+jDWEqR2AaTpTc48IV9Hp+PFVKi64C89nTAyvZ4RsHIKnij3vH2PPwcYEo+xs4Ntvga+/dt12wn+QEEEQBEEQXsA4fScAxMUB77wDPPus/2wKJhjj85GF0eaYGN7IPXrU35Y5zn/+A4wbxzsXcjlvqPuqgxQXxzsLlAbS+widxCZN+P9xcabu5EKwVUenFlGAvsYROrzFxbyuyMoyxDywNTVDJuOdaEenyPial14yZPkwprTUvhDx0UemcWMUCu4Z8uGHBo8Id4UIoR6uqQGee47HiwAM1zsxETh3jt+DnBw+jeOJJ6xnBzK+P45MZxTiAxGBBwkRBEEQBOEFzBuGcXHAjh2Wc2gJ19BqedR7oQH8l7/w39PT/WuXM/z738CRI/y7IET4ymU8NpaPVKalUewSbyNMHxIyY2RkWAoRzhAXF1iCmy/59FPgmWd4vRAfbxDabrqJf6al2Z6aER/PxeJbb/Wdvc7wj3/w+C/mZGVxDxtbQsQzz5iKXEJsieefN3hEmKcGdZaICF4nN2kCbN9uOg2xrAzIzeUZQqqrgfx8LnzMncuPa47w7pTJHPf8aWigeiwQISGCIAiCILyAuRDRsiXvdLo6/5YwRa02fApB1k6eNMy7DwSSknjHCOBChLujks4gCBEAufl7k5dfNkwfEoSIZs0Myz/5xHkvGImEu6QTlpw6BWzYwK9zaiovUxER3GPqzBnuDWDL8yg+nq8faPE3MjKAy5ede466duXvIrWaT9twt+4RAuwOG8a9LYT/a2qApk35OrGxPBVpp07cIwLg09HMEd6dy5cD/fo5dvy0NMqeEYgE0OuaIAiCIAIHcyHi/vt5A9faiBbhPIIQce2awbW9oICPigXKyJixGKBQ8I6Sr6dmAIEb4DMQeO89Q10gCBHx8YblTz3lWraXQM4Q402EDrBazYWIsjJDmWralHe+S0qslzO53NCJDiSSkmyfky127gR69vScR4RMxq9769b8//Bw4OBBLsALwTEZ49kwOnbkU2YA6wFzhfIybBjQpo1jxy8sdC3bB+FfSIggCIIgCC9gbc5uKKbdEwQDTyPM4y4vN21Au5v60pdERxsaz0LGBF95RCQmcvdsIPSeSV9jLESo1XwE213CwhzPuBBKREfzaQGCEHHhgmk9nJ4O7NplfWpG69Z8+lx0tPft9KRYKpfzQJzOipiXL/PrlJDgGY+IujrTGBYqFff+USj4fbhyxRC4cudOvmz/fst9uRJMlOKmBCYkRBAEQRCEF7DWmJLLuatqqHDpEh8p8waCwHH+vGkDOiKCexYEAlotjzYPACkp/NNXHhEKBY9X8s47PIgc4XmEzmZdnWmMCOFeu8PChbxDbS3YXyij0fDRfbWap448eNByipwwVcacVq349r4QIjxJx47Oe0QAPLZETQ0XEbRa94SI8HDg7FmDECHEvJFKufig1QJdunA7ExP5Z//+1qeFkRAROpAQQRAEQRBewFpk9vDw0HIf9ab7uOARceKEaQO6Y8fAucYajSFmSGws//R1WsHsbOvu0YT7CM/oyZP8vj7/PPDAA55x/U9M5J4V5M1iSl0dD4aoVgMtWvDOqXGZEjrK1jwiEhP5p7eFCJ3Os7FsEhJ48FNn646UFFOPMneEiLZtDfs4d44LnXv38v+jo/mnkJ0jIQHYvZvXPVeuWO6LhIjQgYQIgiAIgvACtiKz+yorghjw5mitWs1de81HAuPieNyIQECIF3DhgkGI8NXUDAFhVJTwPELmgD/+4M/oiBHAwIGe8xJSKim+hzl1dbzjq1Lx63P8uGn9IIgN1oQAYdpGkyYGTyVv4EpH2x6JidwLxJXOu3EMDXdsevJJLjwA/Pp16cKnXUilfNpZVha388oV7qmiUvHfrl7lHhPG7wpXhYizZ123n/APJEQQBEEQhBew1ZiSywMnmKK7CCPC3kCt5pHSa2pMO+/GQRiNWboU+Ppr79njChoNdwevqvJMZ8AV4uNJiPAWn3xi6qIuEBbmmTqAhAhLBNd/IZ2lXG4q/goZHKwhkfA0n2FhfFqZt7DmLecOgrji7D6F9KbCs+mOcCyTGTIAATxdZ3k5//3FF3m2jPh4U4E+JYWLxu3bA4sXG7Z1RYho3ZqLSERgQUIEQRAEQXgBW42p6OjACaboLkLD1hueERqNqTuwgC0hYskSYNkyz9vhDozxjpKQOQPwvUeEQkHu/d5CpQLGjbOdLtJdSIiwpKyMT8koLTVMsTC+9goFsH27/X107uzduCm2vOVcRcjC4uwzlpQE/P67YTvjeshdFApDJo7ISJ4+tXNn03Wio4GLF/m9Mq6DXBEiYmL4/gIlPhDBISGCIAiCILyArcZUKHUeBI8Ib4y4C9HeAcupGdaEiJgY3jEUG9HR3J1cwNceEQqFd0d/Qxm1mnf2vClEkDu6KXK5IUVnVBQvX+axarp3t7+PjAzvXldPT80QcHafhYVcAJBKgQ8+4J4JniI+3jKjkbHHBMDvTUYG9+i4etVwk1y9Pk89BTz6qIsGE36BhAiCIAiC8AK2GlMxMXzeciggeEJ4Q3jRaHhHDHDMI0LIcy82jD1k6ut9H0MkOZmn8SM8R0UFMGMGF768KURkZZmKSAsWAPfd5/njBBqxsdzrIToaWLkSmDTJue2zsoDiYu/YBohHiFAq+TMaGQm88AKP6+ApFArLlKBCfS0gk3GxSC7n2Y8EXL0+w4YZYu0QgQEJEQRBEAThBWw1ptq0CR1XeMEjwhvnq1Ybsg8YN3ZjY/m8YyG9p0BYmDijqkdFGQQbb6U6tUd4uMG1m/AMhw4BkyebekR4Y8pNVpap6HbhAvDLL54/TqDRuzdw9CgXIvLy+Ki7M+TmenaagjmejhEhEB7u3PrWhFxPoVDwT+M6LTwcGDqUf09P58sSE/nxL1wwrOeuUBMqMZiCARIiCIIgCMIL2GpsyuXOZ3UoLzdE4A8kGhq4m7S3hAihAW3sRSCXA3PncsHHmLo6/scY8OuvnrfHVczdlYnAR/AwETwizFNIegqFwnTak3GZCGWysvinq2k4vR03xdMxIgDg6acNQSsdxdXYEo4QE8M/zZ/HNWv454ULQLt2/FqXlBiEC8A9ISI2lqcGJQIDEiIIgiAIwgvYamy6IkSMGQO89ppn7PIlGg3viG3ZYjri5al9C41c4zngTZsC27YBRUWm6zc0AC1b8k5hr16etcUd2rQB+vf3rw2M0SiiJ7lyhT+TKhUf+a2t9Y0QYVwmQpn0dO4J4WzHXMDbmWS8MTVj9mznPT+EGDveeGaEOtnWvoV3Y/PmllPD3Lk+d9xBcVMCCRIiCIIgCMIL2GpMxcU5L0TU1/PI4oFGQwNPT/nmm8DAgZ7dt1pt/fpKJDwImzXkcu9Gw3eFnBzghx/8a0NKCjB9euhMGfI2ajUfjVereYcY8E5nLzbWdGqGRsPFj1AXleLigNOnXRcizK+rp/HW1AxnCfuzF+hNWxqbbpaQwMWIujpDrBx3hIiEBHFOwSOsQ0IEQRAEQXgBW40pudz5Rm5qKnDggGfs8iXGASWbN/dsGk9h9NfRfUok/Nq/8ILnbAgW3n0X+OMP4PBhf1sSHKjVfCqVSmXoiHmjsxcWZio6aDRAdjZPiUi4jvl19TTemJrhKgsWcOHGWzQmwI0axeudggLgwgUe5MJdISJUslIFAyREEARBEIQX0OmsBw/LygL27gVuv93xfclklhHHA4GGBoPd5m7k7iJ4RNgK0FZfD5SVmf4meETcdZdlMMtQJjWVz9cmjwjPoFLxjtW1a4YOp7dGnc1jRBQUeHdagVi5cYOLB+apOl2lqsp9MWLgQGDDBsvfvZU1wxXGj/euKKLT2V8ukfBrkZPDUF3Nu6XkERE6kBBBEARBED4kJQVYu9bxQGqM8dRmVVWe9SjwBcYeEZ4WIhqbD9+1Kw+CZkx0NJ8/nJQEHDniOVuCgfh4EiI8hUrFy7nx8+6tjqe5R0Rycmjex6wsYP16z+0vJoZnO3GHXbtMAydqNLzjLyYhwts4KuYolUBJSRj27SMhIpQgIYIgCIIgRExFBXebb9WKfw8kvO0RYU+IMO9YM8ZHiwEetDIUO2v2ICHCc6jVXIgwvp7eSs2akGAYdRaEiFD0iKiq4vWkp2jblmcrcgel0nSawI4dwKJF4okR4W2uX+eeVo6QkAB8/nkMbrpJQkJECEFCBEEQBEH4gYgI3nFoDJWKT+PIyvJuADVvYOwR4elI9LaCVQpY61gnJfFPpZI63ebI5cDJk/62IjhQqfh0F+PnPTbWO8eKiTGk9hWECHc70IFIQoL7HgzG3HYbMHq0e/tQKnkGFUEgUakMn2KJEeFNhBSejpCRAWzZIkNCgnseETExnhWkCO9CQgRBECHBXXdRI5sQFzIZn3LRGMLIf1xc4AkRDQ28A3b1Ku/oejLzR2NTM6wJEcL6NPpvSYsWodmB9QZqNRcEhKlB7dpxjyBvEBvLR56F42ZkhOa7LicH2LPHkAnCXQYNApo1M1xbV8jM5PGAcnJ4CmMhLs2lS6HhEeEMLVrwz+xs94QIiYRS2AYSJEQQBBESrFkD7NvnbysIwkD37kBxcePrGQsR7jSK/YEQHT4hAUhP5yn1PEVjHhFKJXDwoOF/iYRPb5k/nwsRly5Z305IIRdqKJWGkXXCPVQqoHVrw//793vPI8JYoNTpgKZNDSPvoURRERdgPNkJTUuzDHjrDJGRXJDKyQGWLTMIRXv3khBhjuCtVlgInDrl3vXxZhYQwrOQEEEQRFAjBPdLSDANGkUQ/iYtDTh61P46Z84YOtzezm3vDYznQjdv7tm5u415RBQUWHbIUlOBRx7h01xOnbLchjHHg4i6Q2Wld9MDuoJMFroijKdRqYDERN8cy7xeCETB0hOEh/Pn15NCRGqqe15cwsh+ixY8VoRazcXQ8nIatTcnMhK4dKkEPXowbNvmnhBBdVngQEIEQRBBjfAya93aMTd4gvAVLVpYZnUwJy+PP7eBOjVD8IgAuPCycaPn9t1YsEq53Pb1ysmxPvrvqw5cYiKwbZtvjuUonkp7SPC4AL4SIlq3Bp55Bvj3v/n/gShYegKNhndAPdnBb9GCZzhyB4mEi5v19bzOSk/n4gYJEZZIJEC3bnzQyB0hIjER+OyzwMsyFYqQEEEQREigVAKHDvnbCoIwEB/vWMdXGD3r0AH46CPguee8bprHMPaISEnhbsmeorGpGXFxwLVr/LtWazp3XC7nUzPOnjXdZs8ez9nXGJWV4nPPplFEz1BXx8u3L7j/fj7dSIgLEYiCpScQRE9PCmodO7pfJq5d4/FoLlzgdVZaGhegSYiwTlER/3SnbnzxReD77y3rd0J8kBBBEETQIwSIat48NOfOEr7lxg3H5hXL5YaOsj3KygxCxE8/8ekagYKxRwTg2U5CY1MzoqNNswkYN2wlEmDIEGDECD5FQvibMcOzYok9amvFJ0Q48jwSjZOQ4L2YELaOd/Uqf65lstB8z+l0QFRU415mzhAfb5p+0xU6dOBpl5s04aJG8+bAkSMkRNhCCOrqTt3YogWPwUTBd8UPCREEQQQ9wjz81FTT4HUE4Q1mzwY6d258PUeFiIqKwG20Wot+fvWqZ0beG/OIMBY9rNkxaRIPjFZXB7zzDvD883ydli19M6IsRiEiI4PcmT2Fr4WIqioupkkkfGrI3Xf77vhiIT/fsyk8PSFEREXx+k6p5B3jggL+e6DW6d5GqLfdrRtTUkiICARIiCAIImgRGtSXL/OXW/PmNOJHeJ/oaMc8IhwduTx1yrTRKrYgh/ZoaDD1iACA227jHX93acwjAuAdgL59gZoa6w3bxETeaTtzBtixg//WoYNvpmgUF4tPiDBOBUk4z6pVhimAiYm+C5AcEWEaA2nrVi7UBVJd4QkGDQL+8hfP7U8q5fWMOwhCRGIib4sIdRYJEfZx13suOZkypQUCJEQQBBG01NXxeeEVFfx/e8HrCMJTxMcbpgPZQyLhcQIWLLAtSMTE8HmuYuuwOoo1TwSt1v1RRqDxYJUAsGED93C4fNm2EHH1Kr/OdXX8N18JlmK8rzExlMLTHUaPBr77jn+XSIBOnXx37LQ0085bKMaKuOce4JVX/G2FKbGxvJwrlcDvvxvqrDDqgdnkvvt4e80d2rXzbJYmwjtQMSAIIuj49Vdg2DA+CpGdbXDPMw5eRxDewhmX7H/9i3dcbAXVyszkjSnjDrdEwudDBwLGwSoBPjoYHu6Zzm5jUzMEBJdoW0LEuXOGeBKM+aYD17atOINVkkeEe8THGwQtXxMebuoBkZBAHTExMG4csG4dL/NlZdwTDgjNOB6O8sUXPLuIOyQnGwahCPFCQgRBEEFHaSnwzTe8QVhQAPz2G/89FEeICN/jzBz79u35VICaGuvL5XI+dcBYiJDJPONR4AvMg1XGxPBgcu4IESUlwHvvOTY1A+BCRFmZ9U5/drZBiLhwgf/maOwOV2GMx6u5ckWcQgR5RLhOTIz/hBxzbxaFIrAC24oVd6dmJCdzr6yEBEPazhMngF69PGMfYR2FgtexhLghIYIgiKBDSJtWX88bAGo1H0UmIYLwBULD1dEOnUJhu+OrUPBn1rjDnZXF40YEAuYeEY8+Cowa5biQcvUqsG2b6W+bNgEvv+ycR8T589bXzcvjo8ZaLa83JBLvT+HSaLhNVVXiEyJiYoDt24E//vC3JYHFxYv8Mz7es8ESnUGp5GkiBfLz+ZQkwj2ioriA4C6JiYbpZM2bc/GT8B4SCRd8Qi1OSqBBQgRBEEFHeDj/FCJVX7vGX/7NmgE//sg7QwThLRoauFupo505udy2R0RcHP80FiJycwNn1NrcI6JHD+DDDx3vgK9bx7cxZvp0np4NcCygWWoqcOyY/RgRKhWvKwB+P4wD/3katZp7tYjRI+Ivf+Gdrr/9zd+WBBbZ2fwzOZlPDfQHcXGGDFEAz4BiLEwQrtG6tWfqg5QU/klBKn1Hx440BUbskBBBEETQIYxI19Xx0QxhFKJpU+Dbbx3LaEAQrqLR8Eanux4RQio+wLTDGkiePeYeEQAXCh2NcWE83/7ee3k8jYICnnbTUZo14x0yax2AxEQ+JUOlMixv0gS4dMnx/TuLUB/V14tPiGjTBnj1VdvCGGEbnY7fz4IC9yP+u0LLlqbTQjyRepIABgwAnn2Wtx3cITOTf5IQ4Tu8Pc2OcB8SIgiCCDqMXeOFud9Cg98fDUQitNBoeCfAGSHCWsfPuBNv3HgNpKCr5h4RziKIiYwBa9cCp087vw+Fggcts9bpj4/nHgDGQoRSyadqeAtBiBCi6YuNyEj358WHIoI46GjsEk8jeE8JmE/VIFzj1luBN97wXLwNYeoo4X3seRsS4iCohYizZ8/ihRdeQLt27ZCQkICoqCgUFBTgySefxBk7Ncrx48fx0EMPISMjA1FRUcjPz8dLL72E6kZq9Orqarz88ssoKChAVFQUMjIy8NBDD+H48eN2t9PpdJg9ezY6d+6M2NhYJCYm4vbbb8f69etdOm+CCHWERnRpKe/E5Oby0UeC8AUNDc4JEXI5D8BoTl0dn7MPmM4nFjwifvlF/PNfrXlEOEN9Pfcuqa3l+1Gr+Tk708ESgpZZs0MiMczdjosziATedOcVjtHQYJhGRgQ+lZUGLyZ/lEvzbD1JScD+/b63IxhJS/NMnIjaWkOdTngfe/GXCHEQtELEpk2b0KpVK8yePRv3338/fv75Z+zbtw8vvvgivvjiC7Rr1w47duyw2G7Lli3o2LEjfv/9d3z22Wc4evQo/va3v+Hf//43OnXqhMs2Iv9cvnwZnTp1wpw5c/Daa6/h6NGj+Oyzz/D777+jY8eO2LJli9XtGhoaMGzYMEycOBG333479u7diw0bNkAmk2HgwIH4+9//7snLQhAhgUbDOxUnT/IOHKUxI3yJRsMbQI6m8SssBKy9IgSPHqWSP8MCghBx663id7225RFx4YJjQf3q6vi5C8EmXRmpVyj4sewJIjU1vON2/brnvaZ69wYWLzb8L3hfCGKEGKGRdOcRnueoKP/MSzcPfpiRAYQFbSvftzRpAvz+u/11zp8Hli2zv44zqZ0J96GpGeLHDYdJcfPCCy+grq4Or732Gl599VX970VFRYiMjMTjjz+OJ554AvuN5OKqqiqMGjUKjDF8//33yMvLAwA0a9YMMpkMDz74IEaPHo0ffvjB4nijR49GcXExPv/8czzwwAP67b7//nu0atUKo0aNwqlTpxBv5pP17rvvYu3atXjsscfw7rvv6n9ftWoVOnTogFdeeQU9evRAz549PXp9CCKYaWjgObs3bQIee4wHq0tMNCyXSPh8XmqkEd5AowHuvx94+mnH1k9ONgRKNEal4kENKypMR86NY0RUVZmKFGLDlkfEHXdwLxDjcmmNY8eATp149P/ISC7OREYavCQcISLCvhDx009Aly68syFkP7hwAVi6FHjoIceOYQvGuO2HDxt+EzwiIiPFG0gtMpLfO3em1YQKgvfDwYP83SKR8JSwvsbadBB6x3mGxMTGPbuOHQMefBD4swtAiAASIsRP0FZRJ0+eBADcfPPNFsuE3w4cOIArRklmP/74Y1RUVOCuu+7SixAC9913HzIzM7Fx40Zs3brVZNkvv/yCjRs3IjMzE/fdd5/Jsry8PAwfPhwVFRX417/+ZbLsxo0b+Mc//gEAePHFF02WRUZG4tlnnwUAvPnmmw6fN0EQvCPYpQvv6ERFAZ98AsybZ1hOLyfCm2g0XPxyVz8W5pqbu+/L5Yb86P5KFegotjwiYmNNA+vZo2NH4OxZvv7Bg4b4Cs4E7IyIsN2RqKkBxo3j+xVs+ukn4L//dXz/1ti+nYtISUmm85QFIUIq5d/FSFZW4ARE9TcNDVwwvHqVB0Ju2dI/1y4ri2c9MUbsU7eCCZnM9H+djmJS+Rtq64mfoBUi2rdvDwA4cuSIxTLhN4lEgqioKP3vX331FQCgX79+FtuEhYWhb9++AIAvv/zSZJmwXZ8+fRBmRX7u37+/1e3Wr1+Pa9euITMzE0VFRTa327x5M8rLy62dJkEQVtBo+JzOy5e5u6p5YyAmBmgkdAtBuIwrI8nWGqxqtfXOc2Ym7/QIgRbFjK1r4agQoVbzjvyaNcD48dwDRCrlXiGOChmCHbaEiO++A/r3514pQpo+hcL9TtwttwArVnCPF+PGsCBE9O3LM/mIEQry5jgqFffQ+fVXoFUr/s5xdFqWJ8nPB775xvfHDRW0Wu6RZatcCNPGhHrD3fg4hPtQjAjxE7RCxJw5c5CVlYVp06bhq6++Ql1dHdRqNX744Qe990Hv3r0R++eErevXr+Pwn76T1kQB49937dpl8vvOnTsd2u7w4cOoM3o7NbZdXl4epFIptFot9uzZ0/hJEwQBwDAiXV1tOUoBAJ07UwpPwntoNJ5pgNraj0IB/Oc/wJw5gSGoWRNZGhMijh0DBg3i1yApiXsWdO/OO3iueEQAtu/JoEFcuMzONvVQcEbosEZ4uGHqjDUhYt484Kmn3DuGt6CRRMcRhIjycu4NkZgIpKf72yrOtWvijUPiSXzh+REWBrzyCq+HrCEIEYKY6an3AOE6ycnAhx/yabqEOAna2X8dOnTA8ePHMWvWLIwfPx7Xr1+HRCKB7s/k5e3bt8fChQv16585c0a/LN3GGyQjIwMAcNosf5jwf2Pb6XQ6nDlzBq1atXJoO4lEgrS0NFy4cMHimMaoVCqojCaa1vwp1+p0Ov05iRWdTgfGmOjtJAILtZoH6gLC0KyZDuaPl1LJOzZieOyoDAQfarUE4eHMqeeLMQl0OtPWtErFvQls7adZMx6QtaqKj8KKsdFr7bwAbu+1a/zcrJWBykpg3bowDBnCoFAwlJZKEBHBoNFIEBEBxMYy1NZa37d1wgBY1gXG8KkSYXo7lEoJyssZkpKcOGGTc5SgqoqLofw8GRjjmUAiI8VR/9giLo4LuWK2USzU1QEpKZI/00QzjB8P3H23c9fOW++BrCwJLl1iyM726G5Fh0YDhIc7Ux84T5s2Epw6xetba8eprwfy8yXYv58hJ0eov71rUzDhjTLQvTvw73/zYNB9+nhst0QjOHMPg1aIqKysxNixY/Htt99i0qRJGDVqFGQyGX7++WeUlJRg0qRJSDCK8FVj5GsVbR56+E9i/sy5Y57GU9i2se3Mt21sO3vHNGbGjBlW40iUl5ejXuQ5C3U6Haqrq8EYszqthSBc4erVGGRlNQBIhERSZuH9EBYmxblzESgrczC/ohehMhB81NTIUVNzA2VlWoe3UauVKCurMvmtrCwSKpUUZWXWh+a12nBcuhSDHj2kGDmyDk8/7f/n2Rxr5wUADQ0yVFaGoayszmoZuHo1EkAS1GoVIiKuobg4BfX1Vbh+PQ4NDWowpkVtbRzKHHZtSsfVq9dQVmbbZz4+Xorbb4/R25ucLMepUzeg1Tp+HwEgIyMdhw6VorY2DSUlNxAezqDRhKO0tAqZmelYuvQqVKpwu7b4m4aGGOzerUNenrjbEGLg0KEIhIfHobRUCpXqGmpq+H11xuvOW++BhIQ4nDlTB6nUuWc40LhxA9Dp4lFW5r10L1JpDM6di4JUGoaysgqL5VeuyNCxYxT27tWga9cbqKiQQKuVo6yM5jg5gvfaQuG4cCEGZWXk4uUrrjnhTheUQgRjDHfeeSd+++03TJ48GdOnT9cva9euHVatWoWWLVtiwYIFGDx4sB8t9QyvvvqqSbDLmpoa5OTkICUlBQqFwo+WNY5Op4NEIkFKSgp1wgiPERXFXWWlUoYmTVItlrdoAXz/vQSpqXF+sM4UKgPBR2SkBGlp0Ui1fPRsIpNJkJycahLlPi6Ou/WnptrO+aZWS1BfD2g0clE8z+ZIpRKkWrkQXboAr7wiwcaNCqxerbUoA3FxwvYytG7N0wGkpMRDp5NAqYxAWhrD9evW922NjAwGpVKO1FS5zXVGjeJ/AN9nVhYQFubcfRSork5B9+4MJSXRaNkSOHQIiI/nO4qJUSIxEXZt8TddugArVkjQu7cCbdr42xpxI5XyVLrr1oUhOdn+M2YLb70H0tOByMgYl57hQKK6GoiLkyA11cpcTA+RnQ2Ul0tQWwtERaVi+nQJ/v53g7dDdDQPrHvwYBRSU+PQ0ADI5RKkpkbZ2Ssh4K0yEB4O1NdLkJpqe9CX8CzG8RcbIyiFiE2bNuG3334DAEyaNMli+fDhw/F///d/GDZsGH777Td07NjRpMNeZyPK0I0bfLTJPAWnQqHAlStXGt3OfFvhmLa2s3dMY2QyGWRWJsKHhYUFRMdGIpEEjK1EYCBEMeczliwnqLdqBezeDWzdKkGvXj43zwIqA8EFf/4kTqXOi43ljaU4Iy1Bq+WdHFv7SUzkWSSiorhbcFiY+EK0SyTW7WrXDvj+ex7lPywszKIMCPPaJRIJYmL49tHRYTh/njcsY2MlYMzxc/71VyA727l7kpDAA9O5Uiy12jD07Als3crrouRk4Pp1bmtDQxiiosSdWjEuDvjsM+DGDQnM4mwTZmi1vPwCQFRUmMv31Rvvgfh4HktFzM+aJ9Dp+HQnb9aBSUk8LesDDwCXLkkwcybw3nuG42m1QPPmPFtOWJjEqP4WX70sVrxRBhITuRBM98F3OHP/grJq2r17NwAgLS0NiTaSlBcVFaGhoQHz588HADRr1gySPyNqlZSUWN3m8uXLAID8/HyT34X/G9suLCwMTY1CZDe2HWMMpX+GRDc/JkEQtmksSFREBO/AvfiieNPnEYGLK9HSExN5x9zYnVtI32kLqZSLEIIQIUZcDSInlMuGBkOwS6kUyMvj59qihXP7y8uzfy2tER8P/PKLc9sIXLvGxYcrV/hxk5N5MEPAEKxSzAgd6xvim+0jOoyz21gLjuxPFArg88+D/z3ni8CQzZvzz+xsHidCOK65DfHxwNChFKxSLISH80xThDgJSiFCQGInga+g1vzxxx8AgNjYWLRu3RoAcOzYMavbCL936dLF5PeuXbs6tF3r1q1N4kU0tl1xcTHUajXCwsLQqVMnm+dCEIQpjnQEVSqePcNG8SMIl9FonE/f+cILwI4dgFEMZYcasgkJfPTaSqbqgEboOBlPNZXJeOrdujouvnibPn14mlRXuHLFkAJTKuUdQiHVaiAIEUZNFaIRjAVDsd3X2lqeYefnn/1tiXfxRadfqNObNuXlGwD+7EKY2LB0KRdPbaVfJgjCQFAKEYWFhQC4p4GtII/H/8x5ZpyxYhSfHIoff/zRYn2dTodNf+Z/EdYz327Lli1WI4Vu3LjR6nZ33nkn4uLicOnSJatihLBdnz59kJKSYvU8CIKwxJGOoFTK3cPPnfONTUTo4EqjuKAAGD+ez3UWcKQh+9NP+DNav/N2+gI74wF6rHlNqNWWKSSlUj4Pu77eNyPPCgUXElyhooLbKIgOcjmwejVfJnhJiJlY22FJCDPE7BFx003ce6iy0t+WeBdfCBGtWnEPIaXS4Llm3HQ3tiExka8j1no51IiMFK/XYKgTlELEgAEDkJaWBgD46KOPLJavX79e3/EfOXKk/vdnnnkGSUlJ+Oabb3DmzBmTbZYvX45Lly6hb9++6GU2qfzWW2/FbbfdhkuXLuFLs8mUxcXFWLVqFZKSkvDMM8+YLIuNjcVLL70EAJg1a5bJMo1Go7d96tSpDp87QRCON0rS0lwf8SQIW7jaKFYqDS6/ju7n4EFg167AHcGOjbXu/r9nD5+TbSwEyGT8t7IyXnbvuMO7tpkLIc5QUcHFhqtXDULE7Nk8reOFC+IXIoTn6fJlQ7wOwjqNTaHyJ127Au+9R0KEp4iO5vV0aSn/Lky3Akw9nZKSeGplEiLEQVISjxNBiI+gFCJiYmLw+eefIzY2Fm+99RamTZuGY8eO4cyZM1iwYAEeeughAFx4GDBggH67hIQE/Pe//wUADBw4EBs2bMCZM2ewaNEiPPHEE2jatCmWLFli9ZhLly5F06ZN8fjjj2PRokU4c+YMNmzYgEGDBkEikeC///0vlEqlxXaTJ0/GoEGDMHfuXLz66qs4efIkdu/ejeHDh+PIkSOYPn06br31Vs9fJIIIYhxtlCQmGlwsCcJTuBIjAuBzi409Ihx5jps04Y2sQMWW18G6dcCQIaZCQEQEsGABMHcun5Kyfr13bYuI4AHoXOHgQUOnJDKSx4jQaoHWrQ0ihZiRy7kY0bat6TNJWGLsESHGWAwJCSREeBKlkosMWVmmQoSxDe3b8zqAhAhx0KZN8JeBQCUohQgA6NevH/bv348nnngCS5YsQceOHdGiRQtMmTIFvXr1wnfffWfVW6Jv377Yu3cvOnXqhNGjR6OoqAhvv/02Hn/8cezduxeZNiKeZGZmYu/evXjiiScwbdo0FBUVYfTo0ejUqRP27NmDvn37Wt0uIiICa9aswUcffYT169ejQ4cO6NevH+rr6/Hdd99h8uTJHr0uBBEKONooSUjgDQqC8CRarWtR6uPieMR1YYafM43rqirDdoFETAw/Z3Nyc3lwuIoK/v/ixUBqKu/Q5+T4zj5nhQjhHgieEDExXJjKzeW/KxSGaRtiJioKuH7d0kuHsETwiPjyS56+UWxkZgJ/JpILWnwpRDRrBpw4weunffus25CXx2P+kBAhDhITSYgQK0GZvlMgPz8f//rXv5zerqioCMuWLXN6O6VSiZkzZ2LmzJlObRceHo5nnnnGYuoGQRCu4WijpEUL7iZNEJ7GkdgI1rYpLORTFeLinGtcp6QAZ8/yBrAYqKpyLGDnbbdx939rZGQYvo8e7RGznEYIMOkoV67weybEgYiI4B4FQlpWQYgQu0eEAAkRjSN4RNxzj78tsU5ubmCKlM7gSyEiJYV7cXXtCpw6Zd2GoiJed5AQIQ4SEkwDixLiIaiFCIIgQhNHGyXR0Ty1E0GIhZwcHuleECIc7bAWFfERbLFw//3cdbkx4uJs252d7VmbXCEzkwfTdFRYOnYM6NmTz0eOjOSxLM6eNRUiTp4MHCEiPt62UERwxBwjAuDvOFenGAUKvhQiwsN55h6ZzFSoNLZBLucj8CREiIPERODbb/1tBWENEiIIggg6KH83EajExho65s48x7GxXMAQCxKJYVqFPeLiTO0eNw7Iz+ffFQrv2OYMglAiCAmNodFwT6uffuKd02nT+L0Rts/K4nEvxNxxNSYtDTCL3U2YQe8b/+Pre6BScSEiPd0gVBrbIJPxeoOeC3EgNqGeMBC0MSIIgghdnGmUWEsdSBD+wthDwJnn2LxD72/kcsfs4XYb3A1OnDC4O6elAUaJrfxCdDRPu6nROLa+RsNH33Q6Ljbccw8weDC/HgCPcwEEjhDRtCk14BvDOFuCWAnme7h7t++FCKmUiw0KhSGgrrkNOh0JEWJBoaCgu2KFhAiCIIIOjcax+ekE4Q3cEbdc9YiwN8XBH8jljqXGNRdQIiL4eTPGA1OuWOE9Gx1h1ixgzRrA0dBPGg2fzgGYdk6VSuC11/j9NV8mZuRy61lNCAOB4BEhkQD19f62wjvcdJPv78G33wKPP85FR6GesyZIif25CBXCw2nQSayQEEEQRNDBmGtZCwjC3xgLEcZpARtDbB4R6enA3r2Nr2eto1tfL54GvEIBvP22Y6IKwDtE1sQG42ka5svEjK30qoSBQPCIaNo0uO+jr4WIli25UJqYCBw9ytsc1mwQSz1GiDO1LkFCBEEQQYgzGQskkuCPKE74FlcyZgi46hFRUAAsWABMner6sT2JVMqnITQWDFapBC5dAvbv5y5MP//Mg7yJqWOnVDqe+s1YPLJ2DoEoRAiu54R1xB6sEgheQUkIwllT459O//XrwKBBwIEDJESInfp6nkqZEBckRBAEEdKkpDifoo8gvIWrQkSnTsDKlTxDgxgQYio0Zr9EAgwfzvD88/HQaIAhQ8QXzDEhwfEUlsb3zNo5CFPGxHR+9pDLgcOH/W2FODl6lAuAzngu+Yv4+OAUIoRR7suX/XMP7r4b6NMHKC+3Xl9TVi7xIKRUJcQFCREEQYQ0d90F3HEHcOSIvy0hCN7x27+fCwrOjrSKKSCXIEQ4EqtlwgSgUycNKiu5MCGRiKujLpUCFy44tq5xZyQmxvZ6Yu+4CoSHG2JehDrmMVhu3ABOnw4MjwghnWSwIdQzx475p0x16wY88ghw5Yp1IYKmA4iHpk2B4mJ/W0GYQ0IEQRAhzdChwLPPAr//7m9LCALo25dPaXj8cefnPYeHi2eakUbDo8oLrtONoVTqcOUKFyHOnhVfRz0pybH1hHtWV8fjZNiCRkoDC8YsU7gKncxA8IhITAxOzxa1mgt+J0747x4kJdkWIurq/GMTYUnz5lw4JMQFCREEQYQ83boBmzb52wqC4I3qSZOAqCjXArA5OoXA22g03ENDSMXZGPHxDJcu8e9NmohHUBFwNAuPcM+iomyv07OnZ2wifIe1ueVCFopA8IjIzwdUKn9b4Xk0Gj7SfemS/4UIrdZUYPzrX4G2bf1jE2FJVhZw8aK/rSDMISGCIIiQp6BAXKkPicDGE2nCamr4NAtnG9dhYeJIU6bRAG3aOJ7JIzVVh5Mn+ffISIPLtVgIC3PMu8MR8eiXXzxjk69wJ/hqsCCIDsZlS/gtEDwigjUNq1rNO5hnzvhfiDDnvfeAjh19bw9hnfR0oKTE31YQ5pAQQRBE0DB/PrB+vfPbRUcHb451IjBp25aP3jjbuE5JEcfIZ0MDzzbhqBCRm9uAqio+oiiVim9utVzu2LkEQipHZ2loAN5/33pnK1QQypSxq73wzrh6Vfz3PFizn2g03OUe8J8QkZLC4/qQYCduUlJ4UFFCXJAQQRBE0PDpp8CqVa5tW1kpPndwIjDxRIM0MRE4dMj5xrVYouNrNMDgwcArrzi2fnw8Q1mZBFIpP2exCRExMdBPHbGHK9NpxM4//wmcPw/s2eNvS/yHIDr8/jvQqxdPlfvBB0BGBlBRIf6YHwoFn7blaMyWQEGtNsTu8Fe5Uyj4YAYhbmJjeYBZQlyQEEEQRNAgvGhccU2Pj+fp2AhCDLRq5drUDLFkztBogN69gWeecWx9hUKHsjI+siyVim9qRpMmwI8/2s+EAQSnENG8OU8PK5b4I76AMdP3iErFp+f88QePF3LgAPf4GTuWXxexj4YrFMDixTzDQzBhXN78We7ELkQRHEezHxG+g4QIgiCChpgY1xXvW28NzvRmhG/xVHyGggL+6WwDVy7nnSV/42yHPD6e4ehRLkKYB30TAzk5fH5xY1Hwg1GIAHinWwwCl6/461+BadMM/9fX82w2paVAWhq/FhIJvy6BINBIpfwZDrZ7aDwVyp/lzly4IsRJdjbdJ7FBQgRBEEGDIES4MjqVkEBCBOE+nupEC+7Gzj7LeXnA7t3uH99dnO2Qy+UM9fW8U7F4MfDhh96zzRWUSsemvASrEBEfHxgdbk9x9Ciwd6/hf5XKEOwuNdXwLMTEBM5747ffgORkf1vhWYTytn8/9yLzFzIZUFzsv+MTjhEXR4HJxQYJEQRBBA2xsa5PrwiUkS1C3HiqIyoIEc5SVCSOwKuuCDIREVyISE8HMjO9Y5erdOwIHDvW+HrBKkQolcCRI/62wnfExFgGpkxLA06e5GVTmDrUsqV/7HOF1FSgrMzfVngWIXVqu3b2U+Z6m86dg+/aBiNKZeAIh6ECCREEQQQNEglP5eUK5BFBeAJPdURjY13fTgwjPow5780h5jSIOTnAhg3AkCH21wtWIaJFC3EEQfUV0dGm0/xUKh4r4/hx3uE9f54/3wqF/2x0lrCw4AvILJY6w1YKT0JcJCTQgJPYICGCIIigwZ1OAAkRhCdoaOAj++7ijhARqJHBAyH1ZWPiSiCcgytERYkjLayviI7mHhHl5VyEqq8HcnN5jIWoKO5dIJO57rlEeAbBI8LfJCVR7IFAgNp54oOECIIggoaGBteFiMREekER7lFT47kRcVf3ERMjDo8IV+K0aDTiC1JpzrVr1jscJ08CEycGr0eE2LNCeJrYWD4Vp7aWB39VqXgn5upVLkQI9znQhAiJJLg6zGLxiCgq8rcFhCPI5cCpU/62gjCGhAiCIIIGYd6uKyPSqanAtm3A/PmetYkIHeLjeYpHTzWMXYn1EMgeEVKpODJ+2CM9Hbh40fL34mJg9uzgFSKA0BIjIiKAjAwubgO8LEZFGT4jI/m9DjQhIpDrB2uIxSOiTZvQiqESqHToAFy65G8rCGNIiCAIImhoaOCjPa4IEXFxwNq1XIwgCFcpKfFcR1Qmc36bmBjemRdD5gxn6dyZu8KLmYICoKLC8nehQxrMQkQwdWAbQ6Ph7xFBiFCpuADBGC+XMhkfjQ80IUKhCK5YH2LxiAACK3BpqJKSwr3XCPFAQgRBEEFFZKSh8egsKSnktke4R2WlZ2JEuEpYGHDvvcD48a6XA3/xj38wvPOOv62wT3w8cPCg5e/ClJJgFiIaGkInTkRDA48HIXTa6+sNwmB0NP+uUvF7ffq0/+x0lvh4fl7Bglg8IojAIC+PDxYQ4oGECIIgggqhgegKYWG8YRlMc2gJ3yGT8cjp/u6ITpjAvQsCLeZJbi7Qtq2/rbBPy5bWY3AI08JcSVsaKOTnB9douj00Gu7GvW4d///yZUN6yOhoXsaLi/n/eXl+MdEloqMNdgcDYvKIIMSPROKapyHhPUiIIAgiqAgPt+467SgpKaSYE64hl/POvxgaxnI5zVn2BnFxPIChOYIQ4Ura0kBBoeBC2/nz/rbE+2g0gFIJzJsHDB0KlJUZOjCMcVFGrfariS5RVBRcaSaD2QOJIEIBEiIIgggqcnLcExKaNKE804RrxMVxN21/Ts0QCIR4C4FIbKx9jwidzrf2+BKlEvjyS+65EuxoNDxLRmQkD0R45YrBI0Kr5d/r6vxroyskJgaHV8vhw8AddwRvulyCCBVIiCAIIqjIynJvDmywzaElfEfLltztWQwjdImJ4s9AEYg0JkSIIXWqt0hNBS5c8LcVvkHwiLh+nQuMFRXcI2LHDuD224GkJO51FGjI5TwFbaBTWwts2EAeEYTzZGUB/fuHVvBdMUNCBEEQQUVmpnuu0SREEK4SESGOGBEA0KoV8L//+duK4MPe1AyZLDhGm23RogXv/IUCGg2finLjBr/ngkdEt278/8cfB/bs8beVzhMsWTOEOE4UrJJwljlzePyXQAoyG8yQEEEQRFDxwAPA2bOub09CBOEOUqk4pmY0bSoOQSTYiI3lbuGrV5sGtVWp+Ch5MHTybNG3L48PMWSIvy3xPg0NXFi6cYPfc8EjQiAiIjA9IhSK4JiyJXggUbBKwhUKCoC9e/1tBQGQEEEQAPicz2B4OYcC69YBK1bYXi6RcDHBVUiIINwhLEwcQkQYvd29QkICMHEi8Pe/85SOAqdPA9nZoZH+9+pVf1vgfRgzCA3GHhGBTloacPy4v61wH2MhgjwiCGdp0iS4p9EFEtRUIQgAu3bx+a/GqNVcoCDExdq1wBtveG//cjlw7Jj39k8EN5GRhkZyKBOsKXAlEmDUKJ5m1DiobVgY/z0UCIYOuSPExvLPuDguOgVD2j+ZjMe+CHSEjCU1NeQRQThPfHxwe68FEiREEAS4W63Ali388+67gVdf9Ys5hB2EqN979vBUZJ6mVavQGPEjPA9jQHR0YEbTJ5wjIYGnahVQq4HkZP/Z40uUysBMXeksgpgmCBKhIsAEAhoNFwXLy8kjgnAehYI8X8UCCREEAUOjqqEBuO02/v3ECdOGJiEeqqv5nF1vuJjGxwdHVHHCP4SFBXcKR0dgzL2AsYGAUmnqEaHRhI4QESyZFxpj8GBg926geXP+P3V4xYNQ3srLySOCcB7yiBAPJEQQIc1HHwHjxxuECOM5Y8ePc9WUEBcajXeDhEVFmXrIEISjSCQ8dsDQof62xL+EQko9uRw4csTwv0YDpKf7zx5fEiyZFxojLg7o1Il/AsEVdyXQp04ZCxEkEBHOEip1WCAQRNUqQThPSQmwebNBiDh/nn+q1UDPnjw6OiEu1GoecKukxN+WEIQlo0cDHTv62wr/EgpCROvWpg1ZjYZ7SYRCvRQqHhECwtSMYCEYpo9pNHxU+/Dh4K9rCM8jl5MQIRZIiCBCmpgYnp5LrQZyc4FLl/jvBw/yWASktIsPjQbIzAROnvTeMWprgUmTvLd/gvAV/hj5DAUhwjy7jpBGMC3Nfzb5CnNvkGBHDFlwPIlcDhw65G8r3EOj4d4qQGCmUSX8S3g4TaEUCyREECFNQwNvqKvVQEYGcPEid7+8csXflhG20GiAlBTgq6/4PWto8PwxNm7kMUK8sW+C8BUxMcC4cb4fpQ9FISIUzlmgqIhS3wUyzz8PzJ/vbyvcQ2gHAMEnFBG+obwc+PprYMkSf1sS2pAQQYQ0Gg1vTB4/zuf3Hj4MZGWRECFmNBqgRw9+z3r0MLjX6XSeC5AXHs7TuYbSqB8RfCxeDOTne9d7yBqh0CkPZSGCAr0FNq1b8xTVgRwnwliIIAhXiIvjQsTChf62JLQhIYIIaTQaYORI4PJlHhm7uJiECLGj0QBNm/LvmZmGyPWe7gh06BAa872J4EUm415Dvs7+09AQ/KOUSqWpe7tGEzpT+RQKXu+ePetvS3yHNzI0+QuJhLdzAtmrhYQIwl2EYPQajX/tCHVIiCBCGrWav8zKyoC8PKC0lHduBSEiLAzQav1rI2GKRgO0bMm/KxR8Os0rr3heiEhMBK5e9dz+CMIfmKeZ9AWh4B0QEcFFHgEhRkQokJzM35HNmvnbEu9h7i1QWOgfO7xFQkJgpycXhIiXXvK3JUSgolTyGHEkRPgXEiKIkEZ4mZWVGTIx5OcD27ZxEYJcUMWHcM9u3OAdgT/+4CkT6+s9OwpLQgQRDCiVvu9whIIQYU4onXNqKvD77/62gnCHYBAioqKAf/zD35YQgYogRAhZ8wj/QEIEEdJoNLxRdfYs/zxzho+263S8USmX0zQNsaHRcMEhOhpo0sSQRu7KFc92BJKTgb17Pbc/gvAHGRm+7zSGSqdcIuFedIyFxnQUgehoYNo07iUQrKOJnoo3JFbi4niciEAlVOoYwnu0asU9amUyf1sS2pAQQYQ0Gg3QogX3iBByhefmGl5yRUXA0qX+tZGwRGgkKhQGr4WKCs82TAoLuVpOEIFMfj73FvIlodJJeOwx4C9/4R50QPB3Xo3p3x/o3p08BgOVdu0C3yMiFOoYwns88giP85Oa6m9LQhsSIoiQRq3mQSoBQ6CxhATDS+622wCVyn/2EfaRy7kXC+B5IUIuB2prPbc/gvAHUVHcs8eXI9eh0kkYMoSLERUV/rbEP8TGAhcu+NsKwhXMs74EGqFSxxDeJZTEY7FCQgQR0mg0XHgAuBAxZAh3Zb58mQepVChoxEfMKBQ80wnAU216smESFsan6BCEI2i1/JkRI5068ZzpvqBHD36sUOkkBPpce3do1oy/K4ONQE5r6SgkRBAEIQZE2mwiCN9gnHJNKgXWrgXS04G2bXmkebncEIOAEB9JScDmzUDPnp73iCAIZxBzw7hZM99lzti2jc+7DZV4CaEsRGRmBnZn1hZaLRAe7m8rvAsJEQRBiAESIoiQxrjBERNj+F0u554QJESIG6WSey3k5Hg+WCVBOENDg3ifP1+n8Awlj4iUFGDPHn9b4R+C1WMwFAKPJiYC+/b52wrXISGCIIIDEiIIAsAPP/AsCQKCABEezsUKQrwwBmRn86CVnm6Y0PxBwlGEbC5iJDsb2LHDdy7noSRENG/u+2CgYiFYhYhQ6OTGxXExIlAJhXtE+Aa1Gigp8bcVoQsJEQQBHgHcmIICoGNH/9hCOMeLL/Lo7d4QIuRyYPp0oK7Os/slgg8xN4zvuIOLrT//7JvjHTsm3mvhaaKiQjegcXw8cOmSv63wPGIuywSH7hHhKXr04AGdp0zxtyWhCQkRREhja8T7xReBefP4d5WKghaKmfffB26+2TsxIv71L+DcOeD4cc/ulwg+xDw1IzUVGD2ax27wNk2aANu3i/daeINQCG5ojdxc4ORJf1vheUKlkxvIz22o3CPC+whBd99+29+WhCYkRBAhja0XsURiiIDfrx/wwgu+s4lwnqQkLhZ4umGSkMDzrZeVeXa/RPAh5qkZAA/CK2SY8Sb5+XxaWyh1Eq5f97cF/kGpDL7pa+Xl1MkNBOgeEZ4iMTE4PbsCBRIiCKIRXn4ZOHHC31YQ9pBKuYu0NzqCqanBmaKO8CxibxgXFQGHD3v/OLGx/FPM18LTNDTwv1Aj2EQIgNf31dWh8fwG8v1Tq0PjHhHeJyEBOH/e31aELiREECGNoy9iMY90BjoTJgALFjS+3jvv2A8c6q2OYEFBYEcXJ3yDmKdmALyD5YugikKdGkp1Zm5u6HpFBLJ7vy3KykLj+U1JAQYODMxOGGMGr1WCcIfmzYE1a/xtRehCxZggHECj8bcFwcv+/Y4F0XvtNZ6i01bDV6v1TkeweXPfjCQTgY3Yp2aEh/s21o2YRRlPExcH1Nb62wr/ceFCcL0jQyUV9IIFPFD3mTP+tsR5AtmbgxAXycmATMa/B2MWILFDQgQR0jg6mpOdHZxBucRATo7j17axWA3eaDzK5UBpaehGxiccQ+xTM3xNKF2LUBYiBgzgAUp/+83flniOUEo/m5DAM04RRCjzyCPc+5WmYfseEY/fEIT3OHmSR8p1lNateUOreXPv2RSqFBQA69c7tu6FC/ZHQtRqz9hkTteuQGUlD/hHENZoaBC3RwTAXbDr6oDoaO8fK1Q6cgCPi3Htmr+t8A/PPMPr5GCamuKNDExiJTGRe4AECjU1hjg0BOEppkzhQc8DqSwEC+QRQYQkhYV8SoCj9O8P7NrlPXtCkV27gF9+4VMqlMrG15dIgKNHbS9v08Z7XisJCVyIIAhbBIJHROfOQEmJd48heJmJXZTxJNHRwdURdxalEqiq8rcVnmPNGvGXZU+hVAaWt2fbtsB//uNvK4hgJDmZi5CEbwmhpgJBmFJT4/g8w6ZNyWXL0/znP8BPP3HXXmF+nj1yc3knylYHZ9s273V+SIggGkPswSoBIC3NNyP3kycDLVp4/zhioWtX4Lnn/G2F/1Aqgyf9Xfv2PKir2Muyp2jZ0rFg0WLh2jU+dYYgPE1CAm+TEr6FPCKIkMWZjqVcHprp2byJ0LkX0nCVltpfPyWFN3ZtNRDlcu+5nKemen8kmQhsxB6sEuBlxNtChEQCTJ/ORY9Q4bbbgLfe8rcV/kMuB44dA3buBL74wt/WuEdcHPfuEHtZ9hRJSYHlzeOLOowITVq1onaePyAhgghZTp1ybv2oKO/YEaoolVx8UKuBm28G/vjD/vrJyTyNpj9Gqnr1At5/H/jsM98fmwgMAmFqBjXiCW/QsiVQXAzccguwbJm/rXGPuDigulr8ZdlTREQE1iBLKAeGJbxLYiI9W/6AhAgiJMnNBS5e9LcVoU1EBO+8aTQ8CGRjQYIiIgCFwj8NxMJCPpVk507fH5sIDAJhaoa3hQhHsxARwUV8PM9oNHRo4Af0lUp5GRF7WfYkgdT5SkgADhzwtxVEMBIdDdy44W8rQg8SIoiQJDWVv3ydyUUdGRmY+bbFikbDO0ZqNZCRYZpC7PRpYPlyy23Uat5Q9AdNmnD3Y4KwRiBMzVAqgUOHvLd/rRYID/fe/glxIpPx92lqKvcmCAb89Z7xB2p14IiIubmATudvK4hgxJn+AOE5SIggQhK5nMcncGbU48EHgcGDeZBLwn0EV3aVijdgjUc5Nmzg19scnQ4I81OtFRnJnxuCsEYgTM3Iy+N2eotA8AohvINazT0j6uv9bYlnCCUhIiODv4cDAanUe2m6CYLwPSREECFJTIzz80BHjAD69AmeER9/o9HwOXlXrwKdOvGpGYLIEB1tOuohjNZIpcCFC763lSAaIxA64d6eXx0IXiGEdyguDo76WRgVDSUhQqEInNgxVMcQ3uTGDfK48TUkRBAhiURiyNbgDPHxJER4ioYGLkQcOMADUV66xAWH+npLr4eGBt74aNOGz0UmCLERCA3k2FjvRsgPBK8QwjskJvLOe06Ovy3xDKEkRARSEFshrlSgTCUhAovkZEoP62tIiCBCFlcazSREeA6NhntCVFbykVpBYLhyxXLUVrhXzz8PvPOOz001gRpAhDUCoRPubY+IQPAKIbyDVMpjhADBUUcK5xIKBJoQQSPWhLdo3hxYvNjfVoQWJEQQIQsJEf5FowFSUnjnRSIxZM24coXH4UhMNDRoNRre0G3TBujf3382x8QAdXX+Oz4hXgKhEx4V5d2o4IHgFUJ4h8hIfv+jogI3TkRFBZ9iAgROzARPIJPxANGBQEMD0KwZZTcgvMMzzwDffUfPly8JeiHi+vXrmDFjBrp06QKlUomYmBjk5eXhrrvuwqeffmp1m507d2LYsGFISUlBdHQ0WrdujWnTpkHVyJvp8uXLePLJJ9GkSRPIZDI0adIETz75JC5dumR3O5VKhenTp6N169aIjo5GSkoKhg0bhp2UK9BrMEZChL/RaHiQSoHaWh5x/8oVPjqTkWFwI3dlGo03oPtP2CIQOuESCc/8s2CBd/YfCGIM4R2kUkMmpEAZXTdnxQpDVplAFVNcoW3bxtNni4noaBoQILxDWhof8Kqo8LcloUNQCxEnT55E69atsXLlSrz22mvYu3cv9uzZg4kTJ+J///sf3n77bYttli1bhh49eqC0tBQrV67EoUOHMH78eLz55pvo1asXam34tR45cgRt27bFN998g1mzZuHYsWOYNWsWVq9ejXbt2uHIkSNWt6utrUWvXr3wxhtvYPz48Th06BBWrlyJ0tJS9OjRA8uWLfPoNSE4rsaIkMuB8+e9Y1OoodHw+XgCsbE8aNbJk3yaRk6OIfCZWNzeFQoSIgjriOUZbYwffwRWrfLOvgNBjCG8Q2Qkf6fGxPDpdoFIfDzwwQdAZmZopaFNTASqqvxthePIZKElFBG+JTk5sIS5QCdomwzXr1/HgAEDkJqaip9//hlRUVH6ZUVFRaivr8eKFStMtjl9+jTGjx+PpKQkrFu3DkqlEgAwadIkqFQqvPbaa3jhhRcwb948k+0aGhowcuRIXLlyBVu3bsUtt9wCAGjWrBnS09PRs2dP3H333Thw4AAizFppzz//PHbt2oXp06dj0qRJAID8/HysW7cOLVq0wPjx49G9e3fk5eV5+hKFPPX1zr98W7fmbluE+2g0fCRGYOlS4MQJ7hp7+jRw22189LZlS/F08uLjKX0rYZ1A8QZIS/NeClyxlFPC9whpFbOygOPHgRYt/G2R82g0XAA/dowLKqFCYiLw5ZdAfj7PDiZmGOPTf0Jp6gzhW5KSyCPClwStR8SMGTNw9uxZTJs2zUSEEJg8eTL27Nlj8ts777wDlUqFcePG6UUIgQkTJkAmk2HhwoU4bzYk/sUXX+DYsWPo1q2bXoQQ6NGjB7p3746jR4/iyy+/NFl27tw5LFq0CDKZDBMmTDBZplQqMX78eKhUKsyYMcPZ0yfsIMQdaN8eKC11btv0dOCPPzxvUyjS0MCV5/x8/v/NNwO9e/N0nrGxQEEB94j45RfewBVDFHNPTM2oqwNeeokaUsHEv/8dWN4A3gomGChiDOF5nnySi8f5+YE3v5ox4NQpg5Aml4eWR0SrVsAXX/CpKYFAZCRw+bK/rSCCleRkQ6wYwvsEpRCh1WqxcOFCyGQy9O3b1+FtVq5cCQDo16+fxfL4+Hh06dIFOp3OwpPiq6++srkdAPT/M7qeuRDx9ddfQ6fToXPnzoiPj7e53ddffw1tKIVw9jI6HW9k5Oc7P+oRE+Pd9HehhBDY7NQpw29JSdwlTiLhozRPPgnceqt4RloVCvc9IioqgJkzTc+bCFwYA556SjzPqCPodIa58J4kkMQYwrM8+ihw772BOX2tuppHyw+kMuxJJBIu/Hszo44nSUmhdhjhPXJzgXPn/G1F6BCUQsShQ4dw+fJlNG3aFDU1Nfi///s/tGrVComJicjPz8fYsWNx+PBhk21OnDiBqj/99IuKiqzuV/h9165dJr8LQSW9tV1lZSVOUa/FYwiNjXffdS1om1zueZtCEWudlrg4Pi2DMSAhgf+WkCCeBmJ8PI9h4c58WkGA2b7dY2YRfkTQiAPJG2DQIO94domlnBL+IxAD+qrV/LOhIXSFNInE3xY4hkTCPSaDIUUsIU5ycgKvDgtkgrLKPXDgAACgrq4OnTt3Rtu2bTFnzhwkJyfj559/xquvvorly5fjq6++wtChQwHw+BAC6enpVvebkZFhsW5tbS3Kysoc2q6kpAQ3btxAzJ/D8MJ+bG1n/Pvp06fRwsakS5VKZZLRo+bPIVudTgedyBMu63Q6MMZ8aqdKBYSHSxARwRAR4XxOasYk0OnoLeguarUE4eHM4vrHx/MWUbNmDEAYcnIYVCqGyEj/5w/PyQGGDw/Dxo0MGza49gyoVEDbthJUVvJz90cZIDwHr3rDUFPDEBZm+TyLEaWSex552la1Gi7VqVQGgoeEBKCiIrDekUIZVqt1CA/3z3tGDGXg2jXx3zfGJGhoYJBIxG8r4RxiKAOA8H6k58sdnLmHQSlElJeXAwDOnz+Pjh07YvXq1Qj7MzpX69at0bRpUwwaNAgPPfQQTp8+jeTkZH3nPTw8HJE2hnQEAaHaSCqrMfLTjo6OtrudsK3wv7Ctre3Cw8Mhk8mgUqlMjmnOjBkz8Oabb1r8Xl5ejnqRhxbW6XSorq4GY0x/j7xNVZUEWq0CZWWuSZ5arRIXL1bRyJ+bXL+uRGVllcVIjEqVAJmMQautwunTwIMPJuL8+VqoVJEoK/OvP6ZSKQGQhvBwFcrKqlzaR2lpBBIS4nD+fAPKymr9UgYIz3HtGn8m1q7V4oEHKlFWJv5pdBKJFOfPh6OszLM58MrLpaivj0BZmXNBAqgMBBMS7NihxNq1tejWTeNvYxyipCQMQCoqK6+jtlaNsjLf2y2GMqDRJODixUpRt23UaiW6d7+GhQvDUVam9rc5hAcRQxkAuLdNZaXS5TYeAVxzIodzUAoRN4wiJU2cONHigR44cCAKCwtx4sQJLF68WJ+tIlB59dVX8eKLL+r/r6mpQU5ODlJSUqBQKPxoWePodDpIJBKkpKT4tOKJi5MgNVXm0rYJCRIAqUhN9axNoYZUKkFamuVFDAuTICICSP3zArdvL8G1a0okJACpqbG+NtOCnTt1ePttmd4+Z7l4EWjSRIL6ehlSU2P8VgYIzxAeDsjlDFeuhCMtLSkg6oXcXGDnTglSUz07zyw2Fn+W0zintqMyEDykpPDYPv/8ZyJ+/DEwRhSF8SSJJA6pqcwvZVgMZaB5cwmk0lSkpPjl8A4hlUpw001S3HSTvy0hPI0YyoCAVCpxuY1HwGqSCFsEpRBh7GHQqlUrq+t07twZJ06cwG+//QYA+g67VquFRqOx6hUhCBzGgSWNO/p1ddZHl4yFEWvb2tpOq9Xqp1xYC2YpIJPJIJNZdqrDwsL8XpgdQSKR+NRWnY5nYAgLc21SZFERcOqUBDk5HjYsxJBIrN+DkhKenURYlprK3eT4PfO1lZZ07SrMp5W4ZI9Ox8/vyBHDOfq6DBCeQ6vlz+jp04BM5toz4WtatgTKylyvA22h0/EYEa5cAyoDwcMDD/AsDJ5+vryFEOfl1CmJX8uwv8tAYiJQXS1BWppfDu8QttoNRHDg7zJgDD1nruPM/fP/nfYCQkwGAEhMTLS6jvzPiIOVlZUAgHwhhyB4LAdrXP4zX5DxunFxcXrVrLHt0tPTTaZpCPuxtZ3x78bHJNzD3cjueXnA2rW8IU+4jq3gWNHRph2Z+HigvFwc6TsF4uNdz56h0fDsK7t3e9Ymwj9oNNCPoIrZpdkYudw76WMpWCURiGj+nIlRURHaz29CAvBnk5ggQhob48OEFwhKIaJjx47676WlpVbXEX5P+DM0f2Fhod7r4NixY1a3EX7v0qWLye9du3b16nZKpRIFBQVW1yGcx93o9kOG8M+1az1jT6hiK+r1qlU8vaVAfLz4GoiJia432ITOWseOhgYwEbhoNEB2Nv8eKBH3IyN5PehpAilzCOFdpFJDNgqxo9Hw1NEVFYFThr2BUumdtL4EEWjExPD6gPA+QSlEtGzZEoWFhQCA/fv3W13nyJEjAIBbbrkFAA8MOWLECADAjz/+aLF+dXU1du3ahbCwMIwcOdJk2ahRo2xuBwAbN240WU9g5MiRCAsLw+7du60GoxS2GzFiBMLDw63um3Aedz0i4uOBoUMpvY+3yM0FjJyaRClEKJXA+fOubSsIEYmJ7qUBJcSBRgM0acK/Gzm8hSTu1q1E8BAdDfzpDCp6NBoe20Js7xlfU1gI3HAuzixBBCXNmwNXr/rbitAgKIUIAHjttdcAAHPmzEGD2dDP999/j5MnTyIpKQljxozR/z558mRIpVIsWrTIQhiYPXs2VCoVxo4di9zcXJNl999/PwoLC7Fz505s27bNZNm2bduwY8cOtGjRAvfff7/JsqZNm2LMmDFQqVT45JNPTJZVVVVh4cKFkEqlmDx5smsXgbCKJ0btlErqRPqK+Hg+DUZMDcSiIuDXX13b1liIuHLFs3YRvse4PrESqiekoKkZhEBuLvDHH/62wjE0Gl4fX7gQ2s+vXA44EeyeIIIWmqbkO4JWiBg9ejQee+wxHDlyBCNGjMCuXbtw7tw5LFmyBGPGjIFCocCKFSugVCr12xQUFGD+/PmoqKjAwIEDsXXrVhQXF+P999/H1KlT0blzZ/zzn/+0OFZkZCS+/vprJCYmYuTIkVi5ciXOnj2LlStXYuTIkUhMTMSKFSsQYWWo6MMPP0Tnzp0xZcoUvP/++yguLsbWrVsxcOBAVFRUYP78+RQfwsN4orEcH08eEb4iPR3YsUNcMSI6dnRdiBI6rhkZPLq8jZlZRIAgeAHs2WM77okYqa4GJkzwbGeRpmYQApmZpnF05s4FZs/2nz32aGgAhNmvofz8il2IsDWdkyA8DQkRviNohQgAmDt3LpYvX45r167h9ttvR2FhIaZOnYpRo0Zh37596NOnj8U2Dz/8MLZu3YqUlBTcddddaNWqFebPn4/XX38dv/76qz7IpTlt2rTBgQMHMHToUDz33HNo0aIFnnvuOQwdOhQHDhxAmzZtrG4nl8vx66+/YsqUKZg/fz5atWqFv/zlL0hJScGvv/6Khx9+2JOXhABvdLjrPqxUkhDhLo522po1459iaiAmJbnuzSB0XF94AXj6aeDPxD1EgGIc8yOQWLWKx7Y4cMBz+6SpGYSAead20yb+zIkRjYYL3oC43jO+Ri4Hamv9bYVttFqeLpkgvE1eHvD668DOnf62JPgJ+ibDvffei3vvvdepbbp3745vvvnG6WNlZWVh7ty5Tm8XFRWF119/Ha+//rrT2xLO4wmPCIWChAhfERfHP8XUQExIcD9GhEQCpKWREBHoBOp0hMRELvJ5ctQnUK8F4XnkctM51jIZUF/vP3vsodHwOh0IbSEtLo7H9aioAJKT/W2NJVS/EL5i4EAuev36K9Ctm7+tCW6C2iOCIKzhCY+IiAjg3DnP2BOqOOpmKXhOiKkBEhHhevpD48ZUairwxx8B5M9PWBDIjWNPu5/S1AxCQKEw9YiIivJOylhPYCxEhPLzq1RycXL4cNPfr11zPV21JwnkupYIPIqKgN9/97cVwQ8JEUTI4amXWU6O+/sgHCcx0d8WmGIUXsYpjJ+/ggLg6FGPmUT4gUBuHCcmAiUlntsfTc0gBOLjTVNBRkWJ2yNCyHgTqGXZE4SHA++9ZxBlBCZMAMQwSziQ61oi8MjIEK94GkyQEEGEDFot8OijnvGIIHyLSgV07uxvK0yRSgG12vntjBtTkZH8eSQCl0BuHOfneyZGxOXLPF0jeUQQAnl5pnUbY8DFi/6zxx7mdTJh6rEYHg6Ul/vPFoFArmuJwIPaZ76BhAgiZKisBBYs8NzLLCKC74vwPmLKmCGQng6MHs3n0zqDNSGMooEHLoHcOE5M9Ewddv06H+0mjwhCICaGPxcCajVP6SlGjAW0MGoVIzoaqKuz/b+/COS6liAI61CVS4QMQoPbUy8zuZwCVrpDIKU6tMY//wl06gTs2+fY+g0N3A3e/PlLSwNu3AjwixHCBHrj2BNzv4VRo0C/FoTnkMlM3ZpVKt6hFSOCgEaCMEcmA06dMvwvFi9StVqcgxIEQbgOCRFEyCAIEZWVnnmpJiQAhw+7vx8iMImMBAoLHU/vtGYNHxEsLTXtrPGgbiREBCpiaaS7SlKS+/sQhAiamkEImAvNYu5EkoBmSqdOplMxNBrPxpJxFbpPBBF8kBBBhAxCY3n3bs+8zIqKTKOCE44TLCNPhYWOjyjX13Pvh4sXTZ8/nrudhIhAJdAbxxIJoNO5tw9B5FWpAluUIbyHSsXrOlfi6nibQC/DnkapNPX21Gh4YGV36wl3oftE+INgaa+KFRIiiJBBo+F5sq9c8ZxHRFWV+/sJRbRaHgAr0HEm/aFGA2RmApcumXtEMBIiAphAbxzHxAA3bri3D0HkPXMmsK8F4T3Uah6TRIzifaCXYU8TH2/attFo/H/vdu3izxDdJ8KXREWJIz5KMENCBBEyaDRASgp3OfTEy0ypJCHCVYIlqJ2zQkRWFrBli7WpGVQVByqB3omJjXVfiNBouNt9SUlgXwvCs1RXA3ffzcX/337jz0hxsb+tsiTQy7CnseYRkZLi35hYXbuS0En4HqWSUqx7G2r9EiFDQ4NBiPBEJ1ipBDZtAn7+2f19hRIqVfDMJY+KcnzurEYD3HmnZUyBuDiamhHIBHonxlMeEfHxvKMSDAIj4Rk2b+bT106d4h3J9u15XKXERH9bZkqgl2FPk5oK/P674f+GBn7PnM0Q5WkuX6b7RPiWVq0oKL23ISGCCBk87RHRrh0wdiwwbZr7+woloqK4F0GwNCgcPQ+1mqf8NN+GglUGNoHeiTFPs+gKxkJEIF8LwrOEhXHBvrycfyoUwPnzjnuR+YpADzjraZo0sfwtNRU4ftz3thhDQgTha8jz2fuQEEGEDIIQ4Sn34ago4C9/4amuCOcwj5MQyMTFObaeRsMb4oC1YJVUFQcqgS5EeGpqhjCvnDp0hDHx8QbxX6EAysr8bZElgV6GPU1srKU42bSp/+fKH/r/9u48vKkq/QP4Nylt0i1pm+4UKLS0LLIWFERAAR1AUQRccBlZBsVBf2646yjKoo7LMDOODrK44TICLjMKjigooCKCDLJD2aFlLZSltElzfn8cb9u0SZu0SW7uzffzPH3S3PUkuTc5973nvGcjPycKLiXAToHD2i+FDbsdaNNG/u/PyrLBwKy6vtJTIMJorE7WVx+lHz0ggw+KFi2AlSujsG5dYMpHgaX1ixh/ds04c0bb7wX5n9Uqm/RHRclARCgMA1mb1s9hfzMa646QIbsQqlMeQLYmPHAgdIeAJX1KSACWLpV1VgoMnwIRzzzzDM41tcZCpBKHw/0d6aayWIAdO/y3vXCgpzsbFot3Q3gqGb+FkC1zFO3bA9dfX4YnnmD3DC3S+kWMxQLMmAF8+mnjt6G0iAC0/V6Q/8XEyLwQUVEyuW9RkZweSsF7rZ/DwaB2IMJmA06c4OdEwdWmDfDee8Crr6pdEv3yKRAxZcoUnG1qZ1IildSsbPizRUSnTrLpKXknOVlmTtdLhcJqBX7/e+CZZ+pfzlNl12AABg8ux9mz6o/TTr7Tev/ysWOBF18EPv+88dtQWkQA2n4vyP/atwcOH64ORBQWyumhdIeRgYi6Kiqq/xdCtuJTc/hOi0WOvsIWERRMWVnyMRRbcumFT4EIIQQGDx6MJ598EqtWrYKTtWbSkJqVDX9WOpKS5A8keSc1VVZC9XLBYrUCv/4qxzmvT82uGe7k5qqflZx8p/WLmGbN5LHXlIRcNQMRERF+KRbphMUik1NGRcluaH/7GzBhggxOhAqtn8OBUPv7IC5OXoyplWjUYmHXLwq+iAjgwQdDM7eNXvicI+KGG27A5s2bceWVVyI5ORnXX3895s6di0OhFN4mcqPmnUt/RtWVJoPknZQUeVdMLxWKtm1lJviaeSKcTjmtZoCqocpuRgawfn3AikkBooeLGLMZOH++8evX7JphYA8jqiE+vvpOdkQEcN118jtTzWb+tellOGl/2rwZuOIKOfSqwQCkpcnP8rrr1CmPkhScLSIo2F54Qe0S6JvPgYgxY8Zg4cKFOH78OD755BO0bdsWr776Klq0aIEuXbrgkUcewfLly+HwJnsbURAFqkVESgqYaNAH8fEyuqyXit9tt8m7e5mZ8mLu/Hlg5UrgppuAESOql1NyRHjSoYNgQEuD9BCIaKqaLSKIaoqOrjusq9rN/Guz2/XTQs9fTp+WCSJ37pTPzWbgr3+Vn2ewOZ3VAU4GIkgNQoRWXhs98SkQsXv3bqT8lmUtIiIC/fr1w7Rp07B27VoUFRVh8uTJ2L9/P66//nrYbDZce+21mDVrFvbt2xeQwhP5QrlgePFFeffZX/Ly1B/WSksMBlmp0dPFm80mK2zXXgsMHSqPhxtvrE6OCjR8wWqxcJgoLdJLIGL//savW7NFBFFNBoMMwta8gJRDFqtXptr0cg7709VXA927h8ZvUqBuIhF5S+kaRP7nUyCiVatWMHhod5mamopbb70V8+fPx+HDh7F06VJERUXhzjvvROvWrdGxY0e/FJiosZSuGQ88IMfJ9hertWn9q8OR3ip+ERHyhyoyUt69OXGiuimpoqEcERyvWpv0ciy3agVUVjZuXYdD5n6ZMsW/ZSJ9OHWqbiAi1FpE6OEc9qdPP5W5Y2r/JhkMwU+qXPPzYQ4aUkNionr5UfTO564Z9SkrK8O///1vTJo0Cddffz0WLFgAIQSEENi6das/d0Xks0BVNpravzpceTPkpZYYjcCXXwK9egGrV8tARERE9cVdQ10zrFb9vSfhQC8XMU25OHQ4ZJPtP/3Jv2UifTAa6wYiNm1Srzy16eUc9jd3rfQiI+WoV8FUM4hfXh7cfRMBMik9u84GRpN7xW3fvh1ffPEFFi9ejO+++w4Vv435I4SAwWBAjx49MGTIEAwZMqTJhSVqClY2QkfLlsDevWqXwr8mTwY++0yOO/3NN7LiZLHI4EJiIrtm6JVevleUQFhCgu/r6uU9oOBo2zb0gvdMslqX8p1Qs298QYEcrjw3N3jlUIL411wDtG4dvP0SKRITOTpeoPgciDh//jyWLVtWFXzYvXs3ABl4AICkpCRcccUVGDp0KH73u99V5ZQgUlvNUTP8jZUY71RWylYCzZvrr79derp8TEoCiopki4iEBNltx5tABLtmaJNeMu43JRAWyO9W0r7arQYtltDqmsEkdO5ZrXWboyu/acGk/HZ+8klw90ukSE6Ww7QPHKh2SfTHp6rD0KFD8e233+L8+fNVgQeDwYCCgoKqVg8XXnghjEa/9vgg8otA3rWrrASWLwcuvTQw29cL5c5GQkJoVUT9oVUr+ZiYKIfujIoC2rcHxowBJk1q+GJNaT1B2qKXjPuxscDWrUCnTr6vyxYRVJ/YWODs2erncXGh8f1fXMycA/VJS5MjgiUnV09To688v19Ibbm5wHffqV0KffKp+rRkyRIAMvhw1VVX4frrr2erB9KMQP6YTZkC3HEH8P33dZMUUjWlr+errzY+MV6oioqSfQiPHgX27JHHwZ13yrHYX3xRLlNfy5mICODgQeC994DRo9nKRiuUVj5a17Fj45ueskUE1af2KBlGY2i0Qhg/Xn5P87vWveho2cKvpoQEYP364JajoUTPRIFmtQIbNwL//Kes65P/+NR04V//+hfGjh2L9PR0/Pe//8Vbb72Fd955h4koSRMCWVnu0UMOdcVkNvVTgkExMbJyqjeJidUtI5SAVHY2sGOHd+u/9BLw5ps8jrRGDxcyTUmWykAE1efqq+Uw16HGZpOBY/Ksdtezli1li79gtmhpKNEzUaBZLMDnnwMTJwZ/1Bi98ykQMWrUKMyZMwcHDx7E6tWrMXDgQHzyySfo1KkTsrOzMXHiRHz66ac4W7MNHlGICHTzPpuNyWwaEg4VCiUAodzBiYiQx543dwD79QO6dgWOHAFWrACOHQtYMYlcJCTIC4zGNLtm02mqzyuvAGPHuk47d04GXQHgwAF1AgI2G79jG1I7EJGWBsyaJZMyb9gQnDLw+4XUZrXK3CgWS/BzpOhdo5M5dOnSBY888gi+++47HDt2DH/+859ht9vxxz/+ETabDQMHDsSLL76ITaE0RhOFNQYi1ON0ypYB4dTEsmYXHZvN+ztIKSmyUt6vH/DRR4EpGzXdkiWyC41eXHCB/H5szABXbBFBvnrpJWDOHPmbcMMNwEMPBW/fEyfKUZv279df0mR/q11vio+Xv+cXXRS84BEDEaS2uDj5mJXF4KW/+SWrpNVqxXXXXVfVWuLHH3/EoEGDsGDBAnTu3BktW7bEHexUQyoLdHb75GSZ/IrqKi2VFb9wqVBccokMKCgyM72PonfvDrzxhmzK/P33ASke+cHRo8AHH6hdCv+JjAReeAFITfW9/364nNfkP126yARwp07JoG0wh/P85z+BXbuAbdtkAI48O3XK9bdLCbBnZgavC2E43cCg0KSMwZCaCmzfrm5Z9Mbvw1vs3bsXq1evxurVq7FlyxYAwIEDBzB79mx/74rIJ4HObp+eDmzeHLjta8nBgzLwo1AqLOFywbJihRyiVJGQ4P3QiJddJpfNzQ2NzPLknt2udgkCIyYG+G1Ubq+xRQQ1hpKXxGwGysuDu++TJ2X3ghMn2Oe7Pu3bu281kpkZvNEzwqFLJ2lDjx6y6yz5j09VhwEDBmDRokVISEiomlZRUYFvv/0WixcvxpIlS7Bt2zYAqBreMyoqCpdccgmGNKa9J5Ef/PKLDBIE+iI4O1sO4Umygvfll9XDmSoX4eXl4XlnQ+lf6A2jUVaOk5JYQQ5lSiqkUMj+70+dOsmKVps23q/DQAQ1hsUifxvMZqCsLLj7PnJE3t3PzQWKioK7by0xmWQgoLbmzWXdKhjC5QYGhb4WLby/qUTe8anqsHz5ctjtdhQWFlYFHpYvX46y335BlOBD69atMXjwYAwePBgDBgxAbGys/0tO5KU//AHo2zfwXTMslsZnndebigrXZpvnzsnHnTvDs0KRkOBbgiObTQ4LafR7mzXyl3Pn5OekHNt6YbX6XtHihQI1hsUiE6SazTJfQ7CYzdWBiLg42UWD3IuKch+I6No1eF0H+f1CoSIlBeBAkf7l8z2MHj164MCBAwCqAw9msxn9+/fH4MGDMWTIEOSF4jhNFLZiYuRFcVRUYO/aMRDhqubFTFmZvMNfVBSeFYoajci80rGj7Ie4bx8rYaFm8mRgwADZIqJDBzm2uJ40JhDBFhHUGC1ayBEz0tKC25rQZgNWrwYyMvi73RCTyX23mczM4N0ZZo4ICgUffCBbDP74o9ol0Refqw77fwtbt23bFkOGDMHgwYNx6aWXwmw2+71wRP6QmChHs0hODuwFXWxsdXPtcBcdDezZU/28rEyOP37okAxIhJtu3YApU7xffvp0+Th+vKzsJScHplzkuw8/lMHNc+eA3r1lPhA9sVqBw4d9WyfQrc1In9q0ka0RhJC/08GSkyODD61by0AEc/F45qlFhMXimgcqkJgjgkLBDTfI74p169Quib743PD3z3/+MwoLC7Ft2zb85S9/weDBgxmEoJCWmSmbUgX6zrLRyD79iq5dgcLC6udlZfLu11dfhWeFIjcX+NOffF/Pl9wSFBzKhcuyZXJkE71JSgI2bPBtnUAnAiZ9at5c3l0sLw9uAri4ODnqjdI1g6NdeZaWJn+7ayoulsN4BgtbBVKoiI8PbtA0HPgciLj11lvRunXrQJSFKCCaNZOtFdh8OHiSk+XwaIqyMmDYMNlKghUK7/maW4ICz2KRo8JkZekzENG6te8jgvC7lRojI0MeNxUVspuTuzvvgdCsmWzRZDbLJNPk2T33AAsWuE5LS5OPv/XSDjgGIoj0y6dAxG233Ybo6Gifd1JaWopx48b5vB6RPyg/YsH4MQtmwq1QZjC45kU4eRJo1Up2kWGFwnsMRISeFi2qg2x67GbkSxezZ5+VOTOcTiZWJd8ZDPKxvFzmbQhm18bz52UgIj09ePvUIpNJtsxzJzs7ON0zmCOCSL98qjq8/fbbVSNk+KKsrAxvvfWWz+sR+YPdLv9OngQiIgK7r1atgtdvMtRFRAD//jfwzTeyKbvFIvsCs0LhvcYkDqTAioiQxzIgW0T83/+pWx5/8yUQUVgI/PBDYMtD+uZwAMeOyaDemTPB26/SNSOYXQz0Ji5OdrcMdPI+5ogg0i+fGlMKIfDiiy8iLi7Op52cCeavC1Etdjtw0UXAd98Ffl9K/3H2IZMVh6eekokas7KqAxCsUHgvMRF4/XX53g0bpnZpCJB3b00m+X9kJDBzprrl8bfISO+DqXFx8uKRyVSpsZYtAy6/XAYiTp6UIytdeGHg96sExXNyglM30KNz54ChQ4EbbwR69Qrcftg1g0JJaakM1sfGql0SffC5V+dLL73k806EEDAobfCIgsxul/2ejx8P/L6UO9gMRMhuBWfOyGbbNSsSrFB4b8gQoG1b4OGHGYgIFXa7DEbwOK4ORBA11vnzwDXXyBGVNmwAbrlFBgkCLT5eBtxMJqBv38DvT49OnZKtwnJyArsfBiIolHTtKvOj5OerXRJ98CkQYTabcf78edhsNlxwwQVer1dRUYEfOfAqqcRul0mxghGIsFhkU+XkZFlJD1dCyGjxjh3yTklFhbz7pCQJI+9ERgLt26tdCqotPl427Q53cXEyAa0P1QGiOiIjZb6GmkM+B5rJJAOK1HgGgwyUBzqPEQMRFEpSUpi7y598CkTs3r0bzz//PGbNmoXIyEg8+eST6OtFKLm4uBjNmzdvdCGJmsJul10DgqFVK+Cmm4APPpBjDocDIeRf7WR1ygX01q2yhUhkJPDzz3LINvJNZaXaJSCFwQC0aQNs3652SQKneXPgssuAefPqH1XAYpEtnoJxB5v069w5eXfxs8+Ct8+oKAYimuq11+Tv/kMPBXY/yo0MolDAJOL+5VOyyrS0NLz88svYvXs3unbtiqFDh+LSSy/FN998U+96JpMJ/fr1a1JBiZqiTZvg7Of224E33gAaMbiMZr3xhuzjW5PBUJ0ELD29+o5Gly7sT94YzZoBJ06oXQpSREX5PsSllrz2GjBihGzRVB+7ncn+qGliY+XwzpmZwN69wdtvRIQMolHj5eTIQOW+fYHZ/tKlQMuWbBFBoYWBCP9q1IBbKSkpeOGFF7B792707t0b1157LS6++GIsWbLE7fKJiYlYtmxZkwpK1BTB7CYRbl9SpaXA2rV1p8fEVP/PikTTtGsXvDHbqWHhMFxlSgqwZUv9yzgc8rxmCihqrLw8Gbhv3VrmWFISwQaK0nqHv0f+YTAAqamB2faxY3JIdNYfKJR06ADMmAGsWKF2SfShSVWp5ORkzJgxA3v27MHAgQMxevRo9OzZE58Fs30dkReCedcuMTG8AhHx8e4T1rVuDTz6qPy/vJxNK5uidWtg/Xq1S0GAvJD53e+Axx9XuySB1a6dHMGgPna7bK1D1Fg//ABMmADYbMCCBXKUpUC2NnI45DG7YkXguxRQ0yjHAb9nKJR06wY88kjgWgKFG7/c00lMTMSzzz6LPXv24Morr8SYMWPQpUsXLFiwwB+bJ2qyYLaIsNmAX34J3v7UFh/vPodB9+7A9OnyznFhIe9oNEXLlnK4KAoNgwYBt92mdikCKzGx4RExHA4ZmCkuDk6ZSH9MJtlNQpGXF9iRWJS765mZ7FbkLxER3g/56wslEKG0vCIKFcnJssUONZ1fG5darVY8/fTTWL58OYqKinDDDTdg3Lhx/twFUaME8258Tk54JcFq6E5Fz54ycsyKROMpw8KS+sKlG4I3x5zdDlx4IStk5D/x8cDp04HbPpv5+5/ZDPz0k/+3a7fL71t+ZhRqUlI4cpa/+DUQsXfvXtx+++248MILcfz4cQghIJhOm1SmHILTpgVnf7Gxgb2jE2rcNaOtedonJgJHjrAi0RQMRISOcPlJ8+aC0OGQOXHC6fuOAouBCO254gr5G+9vSt2irIyfGYWWlBQG4P3FL4GIvXv3YsKECcjLy8OcOXNQUVGBvLw8vPPOO5gzZ44/dkHUZI89Fpz96D2JXW21AxG1L9QSEuTwWzWb35JvGIgIDeGQpFIREQEcOlT/Mna7PL/ZbYj8hYEI7YmNDcx3gN0u8yNt3MjPjEKLzcZAhL80Kf3Lnj17MG3aNLz99ttwOBwQQiA/Px9PPPEERo8eDWO41NgopKnRlDpc7poCsrJgNsu7FtHRMl9Eze4aiYnqlU0vGIgIDeE2nn1D567DIS9CwqkrGgVWfHxgRwhiIML/YmMbDlo2ht0OtG/PQASFHpNJ5j6jpmtUpGDPnj34wx/+gPz8fMydOxd2ux15eXl49913sWnTJtx8880MQlBYKyyUF+bhwG6XzdRKSqqf16w0ZGerUixdiYsDfv4ZmDVL7ZKEN7s9vAIRDb1WpQ83WzuRv2RkBDb5KQMR/hfIFhHKnWd+ZhRqsrLULoE++BQt2L17N8aPH4/8/HzMmzfPJQCxefNm3HTTTW4DECUlJRgwYIDfCk0U6i69VN4hOHhQ7ZIEnsMhKwtKH9HaFb3WrdUpl54YjcC//gW89568K0/Bt2yZfO/DqUIcEeF+RBwFAxHkb1lZgW39xUCE/wUyEJGcLLfNz4xIn3wKROTn5+PNN9+E3W5Hfn4+5s+fjy1btuCmm26CoZ727xUVFfj222+bXFgiX4wYoV4gICkJmD8/PCKmdrscXvLXX+XFcu2Kntksh/GkpunSRQ5td/y42iUJTwMGhF+LiIb66zscwPDhwOzZQSsS6ZzVCpSWBm77DET4X6ADEUD4jFZE2mEwhFc37EDxKUeEw+GAwWCAzWbDhRdeiK+++gpfffVVg+uVhUsbdQopH38MTJqkzr6t1vC5YLTbgXbtgG++Ad58EygqqlvRe/RRVYqmOzabPK4yMtQuSXgKtxYR0dGyWXRCgvv5Sh/uiy4KarFIxzIygNWrA7d9BiL8LzYW+M9/gIEDgUGD/LfdiorqQARRqFECcHFxapdE23xOVtmrVy9ERUVh7969Xq9TwbbEpBK1xvm1WsOjWwZQfdfi3Xfl83C7WAsmJRBB6igsDK8WEVlZwI4dQG6u+/kOB8918q+EBMBiCdz2GYjwv9hYmVBy+nT/BiKUHBFEoSguTg5dzUBE0/gciPj444+Rmprq0zrFxcVo3ry5r7siahKTCdi3T519x8cDmzaps+9gs9vlBUtxscwHcfJkeF2sBZPNBvgQAyY/UZpfrl0bXhcxubnVSWjdsdtdR8gh8ofz54Ht22VXNH9jIML/4uOBXr1kQMKf7HagUyf/bpPIX5Sui+npapdE23zKEdGqVStENCIrlclkQr9+/Xxej6gp2rYFNm9WZ99duwK7dqmz72BTWkQ4nfILeds2VvQCpWtXYPlytUsRfhwO+VhcHF5BtuTk+sdKdzgYiCD/u+EGYNSowGybgQj/M5uBH36Q//uzz7zdzrvNFLpiYjisuj/4PGqGrRHtpBITE7Fs2TKf1yNqiowMeXdejYpyenp11wy9J7NxOICcHPl/jx7yjj0reoHRqROwf7/apQg/SrDt8OHwCkS0agWsWAEcOOB5GSaRI38bPx5o06b+EVsai4GIwImOlq1Z/EX5rIYN8982ifwlNRXYskXtUmifT4EIIi0xm2X/LTUqHYmJsm/1Ndf494c5FNnt8r0GZNeM48dZ0QuUZs2q785T8NjtstIRbq19cnKAggLgb39TuyQUbiyW+kdsaSwGIgLHbAa+/NJ/21M+q88+8982ifylXTu2iPAHBiJI19SsdLRoIfv0B6IyFUpqvsfNmzMQEWhsqhp8djvQoQOwdWt4tYiIiABuu63+PBFEgWCxBGYYTwYiAmfsWNklddIk/wTM+VlRKEtLA+bNAxYsULsk2sZABOnazp2AmqPHBqoyFUqUysKll8rm6wxEBBZbRQSf3S5bOYVjxTgxkYEICr5ABiKY1yQwrFb5mf3jH7JbbFOF4/ctaUfnzjIIwRY7TcNABOnaJZeo23QqXAIRzZoBy5bJisixY6w8BFJCgn8qeeQ9pUJst4dXiwhANrcuL1e7FBRuYmJkCyR/48Vt4Fgs1fWtptS7zp2TwXYmw6VQZjDIPEqsjzUNAxGkS0qCyLg4dbtGKMP76FnNip3FIgMR4XaxFkwDBsjWJydOqF2S8KEc45WV4XkRU1+ySqJAaN9e5njyNwYiAkdpEQE07QbMpZcCM2fK/5kMl0KZ0aj/hPSBxkAE6ZISSVc7EGCxAJs2qbf/YHA4qit2CQlyyFRW9ALn1ltlElRlVBYKvJoXL8Yw/NVs0ULtElC4CdRvNwMRgWOxVA/j2ZRAxJEj7A5GFC7CsEpF4UBpQt2rF/C736lXjvbtgbNn1dt/MNSs2KWkyEdlFA0KDJtNtjyh4FCOcaMxPLspNGsm34PaeCeIAsXfo2YIIX+XGIgIHJNJJvADmhaIiIwEKir8UyYiCm0MRJAuVVTIH7MbbwReeUW9coRDf353/TgZiAis5GQGIoJJuXgxmcIzEBEOuW4otMTH+/eYczjkuctARGAtXy6H/G1KjoiYGHWTjBP54sQJ/d9wDKSwCkTcd999MBgMyM7OVrsoFGChUtkIh0CEEHX7cTIQEVgMRARXzRYRTqfapQm++Hj332Psv02BEh8PFBf7b3tKi57z50OjbqBnjzwCbNnS+PVjYmTCSiIt6NaN9bGmCJtAxOrVq/HXv/7V62WHDx+OlJQUREdHo2PHjpg6dSrKG7gVVlRUhIkTJ6Jly5YwmUxo2bIlJk6ciEOHDtW7Xnl5OaZNm4aOHTsiOjoaKSkpGD58OFavXu316yNXoRKIsFqBw4fVLoV/edMcm4GIwMrIAH75Re1ShA/l++Taa4ELLlC7NMGXmChzvxAFS0YGsHev/7anBCI4vHRg7dghL8yaEkhgIIK0xGpVd3Q+rQuLQERFRQXGjx+PrKysBpd977330KdPHxw+fBiLFi3Cxo0bMW7cOEyZMgV9+/bFGQ9pnDdv3oxOnTrh008/xSuvvIKtW7filVdewSeffILOnTtjs4da3JkzZ9C3b188/fTTGDduHDZu3IhFixbh8OHD6NOnD957770mvfZwVTOBopri490HIp57Drj//uCXp6nsdu+S9fFLObA6dQIKC9UuRfhQvk/eeQe4/HK1SxN82dnuc0QQBUpkpPz99BeHQz4eORIadQO9ys2Vo5U1ZcST2Fj/BqGIAomBiKYJi0DE9OnTcfDgQTz33HP1LldYWIhx48bBZrNh8eLF6Nu3L3JycvDAAw9gypQpWLNmDe6777466zkcDowcORLHjx/HwoULMXLkSLRu3RojR47EwoULcfz4cYwaNQoO5ZewhnvvvRdr1qzBlClT8MADDyAnJwd9+/bF4sWLYbPZMG7cOOzatctv70W4sNtDY/xpg0FWpnbscJ1++DDw+efqlKkpvGl+1qePrIhQ4DRrJhO5HT2qdknCQ6i0sFKL2SybtBNplRJI+9//wvtcDoamBiLi4+VQyURawEBE0+g+ELFp0ybMmDEDL774IjIyMupddvr06SgvL8fYsWORkJDgMm/SpEkwmUyYO3cu9u3b5zLv/fffx9atW3HRRRfh4osvdpnXp08f9OrVC1u2bMGHH37oMm/v3r2YN28eTCYTJk2a5DIvISEB48aNQ3l5OWbMmOHjq6ZQunAYOVI26a5Ni8NTKZW5+rpnrFwJDBkSnPKEs379tHkMaVEofZ+oITqayeNI2+z26gSY4XwuB0NTu1bY7TJBLnPQkBYwENE0ug5EOJ1OjB8/HpdccgnGjx9f77KVlZVYtGgRAGDgwIF15lutVvTs2RNOpxMLFixwmffRRx95XA8ABg0aBAB1AhELFy6E0+lEQUEBrFarx/UWLlyISoaHfRJKFw7jxwMdO7r+MNvtQGamemVqLCUQ4c8kYtQ44ZAINVSE0veJGhiIIK1zOICkJJnhPpzP5WAwGJo2tG+4f9+StlitQK370+QDXQciZs6ciQ0bNmDWrFkNLrt9+3ac/K1W365dO7fLKNPXrFnjMl1JKhmo9UpKSrBz586GXgLVECo5IhQ2m0ySpaiokHcNtNbvWhnbe/t2dctBDEQEU7hXjKOj2TWDtM1ul4GIkpLwPpe1oLISiIhQuxRE3unUCVixQu1SaFcI9KIPjN27d+OJJ57AM888g5ycnAaXL6yR+S09Pd3tMkrXjprLnjlzBkeOHPFqveLiYpw7dw4xMTEu2/G0Xs3phYWFyM/Pd7tceXm5y4gepb8Nvu10OuEM8bHmnE4nhBB+Led//ysv0iIiQmeovYQEA3bvFmjeXD6vqDAgNRU4flwgNVXdsvmivBzIyjKguFjAbpfvsRAGOJ1NuP0R5hp7DlgsMrgVKse4npWXh+/QnQAQFSVbdNV8/UL479wPxO8AaZ/TacAXXwj07SsTGDZFeTmQlGQAYECzZs6QO5f1dg405btBCMNvj2DdIoxo9RzIyACMRtaDa/LlM9RtIGLChAlo37692+SS7igX7xEREYj0EC5XAginanQGUtYDgOjo6HrXU9ZVnivrelovIiICJpMJ5eXlLvusbcaMGZgyZUqd6UePHsX5EL+N5XQ6cerUKQghYPRmOAYvDBmSjk8/PY7y8igcOXLWL9tsqoSEaGzYIJCXJz+P0lIrYmMFVq48j0suqVC5dN47fLgZUlMtKCw8D5stDv/61wlUVMThyJGTahdNsxp7DhiNJmzbFoH9+8/BZApgAQnHj5sRHS1w5Ej9QzjrVVlZMxw7ZsaRI9UZ6BwOwOFI8Mu5H4jfAdK+sWOj8MYb0Th5sgwDBlRAiMbnDThypBliYmIBRKO09BiOHAmtix29nQP79tlw+PDxRn1eFRUJMBhkywjWLcKHls+Bigr//BbqxenTp71eVpeBiDlz5uDbb7/Fzz//jIgwaN/16KOP4v4aY0GWlpaiRYsWSElJgcViUbFkDXM6nTAYDEhJSfHrF09cXCISE4HU1CbeRvGTzp1ld4aYGAvi4oCICAN69RKIiDBrqkVEfDzQoYMBW7ZE4vRpA8rKkmAyGZCqpRcRYhp7DvTpA/z3vwY880w83niDkfhAio6W3avC9TA/exb49lsD2rSJwf/9n5x2/jwQF+efcz9QvwOkbddeK0dfiIgwYdMm4IYbDDhypHHfdfv2AV27GvDvfwOZmcmolY9cdXo7B9q0McBiSYWH+2z1iooywGIBDh4E6xZhRMvnQFQU68E1mc1mr5fVXSCiqKgIkydPxkMPPYQuXbp4vZ5ywV5ZWQm73e62VcS537IN1kwsWfNCv8xDNq9zNbIUulvX03qVlZVVXS7cJbNUmEwmmNzcEjUajZo4mQ0Gg9/LWllpRFSUbE4dCmw22Z/fagWKimR/1ZQUA06fDp0y1mf3bmD1aqB5c6BtW2DDBjn97FlZeKOR6a2bojHnQOvWwFtvAYMG8f0PtMpKwGTSxrkaCG3aAF9+CYwda8C998pplZWyr72/jr1A/A6Q9lmtsgtaWpp8bOzxVlmJqotik8kYkueyns4BqxUoKzM0qkuNwSC7Hm7bxt+2cKPVc+DcOVl2jvQi+dS6N4DlUMV///tfnDx5Eq+88gri4uJc/ob8Nqbgvn37XKYDcMkjUexhSICioqI6y8bFxVVFwRpaLz093aWbhrIdT+vVnO5NnguqtnUr0CyEwmxJScDhw/L/Y8dkX+vERDmUmBb85z/AmDHVQ6CVl8vKAkfPUFdTs5OTd8I9WaXBAKSny2NNSUcU7u8JBYfFIn8nmzpwmMNRXSeIimp6uah+cXGyJVVjNXUIUKJgys0FtmxRuxTapLtAxIgRI7Bjxw5s2LAB69evd/mbPXs2ACAzM9NlOgDk5eVVtTrYunWr220r03v27Oky/cILLwzoegkJCcjNzfX8oqmKUlk5dCi0KsmZmdWtCH7LbQqrVTuBiJgYeQFSUSErceXlsoK4Z4/aJaO4OAYjAo0X3VKHDoCSq7nmhR1RoCiBiKaOMFXzHOZxG3ixsU0LRBiNsmsGkRaMGwf8/vdql0KbdBeIiI+PR25urtu/5r8NWdCsWTOX6YBMDDlixAgAwNdff11nu6dOncKaNWtgNBoxcuRIl3nXXXedx/UAYOnSpS7LKUaOHAmj0Yi1a9e6TUaprDdixIiwyHXhD0pl5ciR0LpwiI6WLSAAYPNm+WixAPXkIA0pSkMepTK3Zw8wdCgjwKEgPl72o6bAYSBCat68OvjI94SCIT0dWLNGBr6aoubxyubTgdeUQITBIO8wa+VGDVGvXnL0DPKd7gIRTfHYY48hKioK8+bNqxMYePXVV1FeXo4xY8agVatWLvNGjx6NvLw8rF69Gt9//73LvO+//x4//vgj8vPzMXr0aJd52dnZuO2221BeXo5//OMfLvNOnjyJuXPnIioqCo899pgfX6W+2e0ykn7sWGje9cjOlq01gOo7PVqgVAKVylxMjAyssImr+hISgJIStUuhbw4HL7oBoFUrYNcu+T/fEwqGzEz5W67cZPCQUqtBbMETXE1tEaHcuCHSiujoxn8/hbOwCEQcPXoUxcXFOHHiBACZBLK4uBjFxcU4U+NWYm5uLmbPno1jx45hyJAhWLVqFXbt2oWXXnoJTz31FAoKCvCXv/ylzvYjIyOxcOFCJCUlYeTIkVi0aBH27NmDRYsWYeTIkUhKSsKCBQvQzM2v4MyZM1FQUIA//elPeOmll7Br1y6sWrUKQ4YMwbFjxzB79mzmh/CBTAIJHD0aepVkIWTW/aNH5XOrVTstIpRKoBKIiIuTyTdZsVOfySTvGFLg8O6/lJZW3W/bbuf5T4FnNMqcSg6HDIA3NuiqnMPK7y8FVps2wGOPAfPnN279zEygUyf/lokokJKSgN8uM8kHYRGI6NmzJzIyMqq6VBw4cAAZGRnIyMjAiy++6LLsrbfeilWrViElJQXXXHMNOnTogNmzZ+PJJ5/EypUrER8f73YfF1xwATZs2IBhw4bhnnvuQX5+Pu655x4MGzYMGzZswAUXXOB2vfj4eKxcuRJ/+tOfMHv2bHTo0AFXX301UlJSsHLlStx6663+fTN0LpQDERUVQESEHEYMkHcMtm4FPvpI3XJ5o6JCBk5OnJDv61tvAVOnypwc7DWkriFDgAMH1C6FPh09KnO7MBAh1UwgxxYRFEwOh6zo+zA8vQvlHE5O9m+5yL1rrwVee03WcRrjkkuA31K4EWlCTAywfbvapdCesLifscfHjHq9evXCp59+6vN+mjdvjlmzZvm8ntlsxpNPPoknn3zS53XJld0OtGgBLF4cepXkXr2AuXNl30dlKMA//xl49ll5MfnbAC4hyW6Xd0M3bwYGDACURjrK3SpST0KCdrr4aM38+fKu3l13hd73iRpqNrdmiwgKJrtdNtdvbCCCXTOCLyFBtpxsLI2N4EhhrqCAI8k1Bk9z0hW7XV7oA6FX6bjoIuDCC2VyQcXAgUDXrsDGjaoVyyt2O9Cli7y7UXNccJOpuoUHqUNLSU+1JitL9vlkiwgpNpYtIij4lFEzmjLkNc/h4GP+IgonNhtw/LjapdAeBiJIV2pWNkKt0jF0KLBwoezKUDMDeMeOoR9FragAWraUXQCUETQAoHNn4PBh9cpF2so1ojVKMlZexEgxMbJFxNat8jsh1IK9pE8xMfI7Limp8b83PIeDLz6+Ojk3kd4xENE4DESQroRyIEIRH+86PnZT7vIEi90uh1Hbv981EJGYyOQ8atPS6CtaU1EhH3kRIyktItq3l98FfE8oGDIzZSAiI0Med43BrhnBZzRWJ7r2hRD+LwtRoClDDZNvGIggXdFCICInBygsrH6uhQtJJRBx9qxrICI1FSgvV69cxCGjAqn2aDHhzmQCzp+X/58+zQs7Co6YGPkb2aqV/K7r18/3bfAcVgeH4aRwkZXFvCaNwbeMdKXmEF0XXaR2adxr08Z1fG0tBCIqKmQ3DMA1EFFQANxwgzplIslgkH1xf/c7tUuiP0qLiPJyXnQD8lhTHD/OCzsKjthY2SLCapUtclas8H0bDERoQ2UlL+ZIm2r+PpL3eLqTrtQcoitUh5W02VyfayEQYbfLO++AayCibVvggw/UKRNVe/ttVrIDoaJCnp/KsLVU/T1w7BiDMxQcsbFy9IWEhOogvq+jNbFrhnp86WrBgBFReGEggnRFCz9iqamuz7UQiKioqE7cV3PUDAodZjNHMPE3u13mdNmyJfS/V4Llww+B2bNlIILvCQWDkqzSaq0evrNmq0JvaKFuoEdmc3V3roaMHs3PiSjcMBBBuqKFH7GCAtcLRqsV2LFDvfJ4Q3lfKyur74hSaGnfnolD/a2iAujRQ2bqD/XvlWCyWtkigoInNhbYvVsG7ZWs9L4G77VQN9CjuDjvg0YffCC/c/k5EYUPBiJIV7Qwtr3BALRoUf08Pt61b9lXXwGffBL0YtXLbpctIth3M3RpoWWN1tjtspvX+fPs/1lTbi7w6aeh/11L+nDNNcALLwDdu8shpAEZmPAFu2aoIzbWt9Yr7AZHWsdRX3zDr2XSFa3e9TCbq/9//31g40Zg+HDVilMH71KEPgYi/K+iQgYiyFXXrvKR3wkUDOnpwKhR8v/bbgNWr5Ytcnyh1bqB1sXFAWfOeL/8kSP8nEi7lBZAcXFql0Q7eH+TdEUPlY3ISN8TcQWaHt5XvbNaZT9q8p+KirrJZaka7zBTsN13HzBiBLtmaEVsLDBxInDHHd4tv3MnPyfSLt4Q8h0DEaQrWq5sKM25QvE1KF0zKHTxB9D/7HYGIuoTat9TFB7i46uTVnqLXTPUERcH/PILcOiQd8vv3cvvFdKu+PjQz/kWahiIIF0JxYt4b2RmAoMHy36vdjtw9GhotIoYMkSO2e5whO5wqCTVTORG/lFRIYeoJfcYnCQ1WCy+ByK0WjfQupgY73NEGI3yN4yfE2lVt27Ac88B5eVql0Q7GIggXdFqZeP11+VFvxKI6NTJt36VgbJ0KfDrr7K1BpP1hbbMTPlZkf/Y7UBamtqlCF3x8WqXgMJRY1pEaLVuoHWtWnm/bHw8k1WStuXnA0uWsFWELxiIIF3RcmUjIQE4eVK+htRUoKRE7RIBiYmhUQ5qWIsWsuUK+U9FhezjvHWr2iUJPbNnA3l5apeCwlF6OrBmjW/rsGuGOpRArtMp6zf1YSCCtK6gAHjpJdmqmbzDQATpih4CEQ6HzNTf0I92MCQmyuRRbA0R+iIj5fFP/qOMFpOfr3ZJQs/48TJgShRsKSmuI015Q8t1Ay2zWuVjXh6wZ0/9y1os8sYHPyfSspQUBiJ8wUAE6YqWKxtKIAKQAYAjR9QsjdSunfdJpoj0hklaiUKPL4Fxh0Ne3Gq5bqBlzZvLIcmbN/euRQRzRJDWdewI/PvfapdCOxiIIF3RcmWjZiAiNRXYvl3N0kgWC1BWpnYpiNShtIggIm36/HOZQI5dM9QRFQXceKOs3zQ0vDS7ZpAedO3KEcx8wUAE6cK338oEMVoORCQlAZs3y/9zc0Pji8zplJmsibx15gxQWAh88gnQvbvapWkatogg0jaHQw4JyUCEuqzW+gMRQsgRNkpLtVuHIwJknbmoSO1SaAcvMUgX3n0X+NOf5IWDVisbLVpUD3OVmBgaOSLsdqC4WO1SkLfMZuDqq4Fdu9Qrw6+/ylFgDh0CNm6UFUyt+PvfXZ9r+fuEiKrPX478pC6rFVi92vN8JVCk5ZtJRIr0dLVLoB0MRJAupKbKnApa/hEzGKrLHiqjVdjtMskUkyBqw7/+BVx/PfDTT+qVwW4H9u+XXXpSU30fZk9Nd99ddxovXohCjxDAsWNAZWX9y1VUBKc8VL9+/YCDBz3PV+puQmi3DkekMJmA8+fVLoU2MBBBupCeLptfajkQUVNiIrBli9qlkJW85OTQCIqQd/LygFWr1Nu/Eog4fx7IyNBestOaOVG01JqDKJz06iWz03/7bf3LKRcDDCiqy2SSXT09qdkNTg91OApvoXIzUQsYiCBdiIyU/bL0EogwmYC4uPrvIARLUpJMIEXa0Lo1cO6cevt3OKpbRHTuDCxbpl5ZGqNm5YEXL0Sh6fHHZVeqhlo8KIEIBhXV1dB3KRMDk57ExMhcWdQwBiJIF5QAhNYDEceOVVec7rwTuPdeVYsDAIiNbXj8bwodakfi7XbZCuLsWaB3b5m8UkvUzK9BRN6zWBpO6nz+vMxPUF4enDJR4yh1N6OxOlcWkVZ17syEld5iIIJ0QWnWp/VARNeuwOHD8v+rr1a/8iQEUFDAfrZaoiT8UouS4HH3btllqqEh20LNoUPAd9+pXQoiakhDIzEAMhCRkqKtXDXhSKm72WwMRJD2paSwa4a3GIggXbDbgeho2SRdy4GIpCTXilUoNCfNyFC7BOSr/fvV27fDAWRnA9u3y0BEKIz+4otjx4D+/dUuBRE1xGIBjh+vf5nz52Weo1AYDjvcVVbKpOLuKIGIL74AbrghuOUi8rfEROCzz+QNGaofAxGkC3a7jEAePartQERCguuFmzdZwQOtRw82V9eali3VC2LZ7TIAceiQDGJppUWE0ykrD1u3yudaKTdRuMrIkMMF12fzZiAzky0iQsGQIcAll8g6zcUXu+YPUgIRPXrIz4tIy5KSgM8/B156Se2ShD4GIkgXHI7qITy1HIio3dQ0J6fhOz6BZDDIv9at1SsD+S462nX0h2Cy22Xz2lOnZHBQK3ciHQ5553TzZvk8FBLFEpFnLVo0HKiPjATatAH27QtOmcizu+6SeYNOnQJ++EGOdKbQerdaopry8oCNG4HiYrVLEvoYiCBdsNvlRfzGjdr+MevQARg+vPp58+ayVQSRL7zpOx0oDocMRAAyb8v//qdOOXxlt8vzbdky+ahmAJCIGqZ0x6yP3Q506xac8lDDlFafcXGufehrDt9JpHXNmgEdO6qf500LGIggXbDbgZ49tT8EVJ8+wKJF1c9TUhiIIN+pGYiw22WzREWXLvWPHx8qHA4ZgHA6gawsnndEoc6b4XWVFloUGpRRnWoPC671uhsRNQ4DEaQLdnt1UkWjjo7qlJSG+8AS1RYqLSIAeedLC0N41mwanJUF7Njh3YUOEYWu2t9HpK64OKCwUHal/eqr6unsmkF65HCoXYLQp6NLNgpndjuQlqZ2KfyvSxf2MSPfWa3qjVZR+w5kfLw2AhEOR3VFuFMn4MCB0Bi1hog8a2iEIKeTgYhQUlAgP7PISBmMUDAQQXqUkMD8NA1hIIJ0wW7XZ6blFi2ANWvULgVpjdpdM2oHIrSQsd5ul/06AZncTitJNonCWXZ2w3cda3YVI3WlpgIrV8oLNEAmrMzKksOsMhBBetO2rWsXJKqLgQjSBaV/t97YbEzgRL5LTwdmzACWLAn+vh0O2TpJuQugpUCEUhFu2VK2KGHXDKLQFhvbcMJKiyU4ZaGGtW8PbN8ug72AzMVz8KC8WGMggvRGyYlCnjEQQbpQ824mUbi74gpgwQJg8eLg71u5oG/RQj7XSiBC6ZqxZYsc6/70aXbNIAp1sbHA2bP1L2MwsK92qDAa5WcRHS2fK6MKHD3KQATpjzJKDHnGQATpgnLxU1GhdkmIQkOLFsDatcHfb+2gYHw8cPhwwxf1y5YBd94Z2LLVRyl3u3ZARIRsKkxEoS0mpuFABCDPaQoNO3YAZrOss505I4NJR4+y9Sfpj8UC7NypdilCGwMRpAtKIIIRdSIpKkqdvtE1kz4CMjnZq68Cn39e/3obNwLz5gW2bPWpnSzNamUrK6JQ502LCAotaWmAySRH0DhxQj4/coT1N9KfvDwmnG8IAxGkC3rOuGw0ApWVwd9vZaW+hkKl4Kh9LnbrBjz+eMOZoyMi1G0+XTuAEhXF5txEoU7JEWG3u04fMECd8lDDlNw78fHA8eMygeWxY/qtw1H4SknRRtdUNfEyg3RBCP1eNFss6mTw13NwJ1zY7XL4umDvs3ZLgtRU2T2jPu++q252+9rljo7mnVaiUNe+PXDLLcB117lOX7aMgcRQpdxciYuTAQibTebmYX2D9IY5Ihqm00s3Iv3IygJWrAh+4jwGIrQvNVVmKA+m2i0LAJmvYsOG+tdLTpbNGHfsAObMCVz5PKl9vJvNvJNBFOqGDwe+/RbIyKg7j+dvaFJavyktIrp1A3bvZn2D9MdsZr6phjAQQRTibrkFeOkl2Yc+mDgSifbl5ga/NY274yYlxbu7k0lJwNdfA5MmBaZs9akdQElPl0ERIgptVitw6lTd6e6mkfoiImSLCLMZ+PVXOVyywyE/RyK9KSxUp1WzVjAQQRTiOnQARo5suGm7v7m7s03aoka3Hk8taY4cabibSESEzKIeExP8EXBqB1Dat9dvdy8iPYmNld8btbHyH5qio+Vv0wUXyNEy0tPl9OxsVYtFFBCbNwP9+6tditDF+51EGpCaKi/kgoldM7RPjUCEpwBWXp4sS0KC53WtVhlwy8qSTXbdNbcOlNrH+w03ABddFLz9E1HjGI3uuy4WFga/LNSwFStk8Gj9elmviYmR09kigvQoM7M62EZ18X4Padp33wX/zqkacnOBJUuCu08GIrRPrRYR7rr02GxyqLb6WK1yqKu0tOB3RaodQDGZgPz84JaBiBpn//66006cqB6hgUJHUpL8fk1OlskqY2PldLNZ3XIRBcLBgzIxa1mZ2iUJTQxEkKb17w9s2qR2KQKvoAAoKQnuPhmI0L5Q6pqRlNRwICIhQQYieveWLSKCiTlRiLSrZUvX53Fx8rsv2EmeyXs5OTKPx0UXyc+LSK9SUmQ3JKqLgQjSvGDnTlCDwcBABPnOalWna4a7C/rk5Ia7F9lswNKlsmsGj3ci8lZUFFBeXv1crWGvyTfx8bJ+wxFOSM8YiPCMgQjSvIMH1S5BcGRmAufOBWdfn3zCCzM9UKsy7q45dNu2wN/+Bqxa5Xm9gQPlY35+w60n/I3JWYm0q/Z3nfKcXTOISG0MRHjGQARpWnY2sG6d2qUIjhYtgvdar71W3l3ihZm2WSwy18JPP6ldEmDQIODRR4F335XP3Q3nmZoqHzMygK1bg1c2gF0ziLSsdusvi0UOv8shPIlIbSkpwU84rxUMRJCm5eeHR44IAGjXLrh3iQ8fZiBC69LSgOuvB+65R+2SyDuTvXpV/xi7O7aSk4HmzWVy1mDfPWALICLtMpuBbduqn6ekAFu2AK1bq1cmIiIAaNUKWLtW7VKEJgYiSNOiouSY1OHAm1EH/OnQIV6YaV1EBDBmjGxhEOyuDu5ERcm7lp5GgDEYgAMH5HB8JlNwy8auGUTa1aEDcOaM/L+yUrZuMplkywgiIjW1aOGaw4aqMRBBmhcuFw82G7B5c/CS+K1fHz7vrd516ybvDoYCIWSuiC5dgLNnPS/3+edAXl7wWjyxawaRdsXGVn+fKK2bGFwkolBgtQInT6pditDEQARpXrNmsuKhd+3by+4SM2cGfl8xMcDu3azE6UWLFjKIFQoyMuSx1b+/ax6I2sPsVVYC/foFNxDB451Im5RAxKOPVp/LPKeJKBTExgYv2bzWMBBBmhcdLS9s9C41FZg2LTgJb9q0Ab77jpU4vcjPD53RZQoKgL17ZYuI/fvltNpBCAC44w5g+PDg9avk3VMi7VICEc89x0AEEYUWg8F9PYcYiCAd6NIldC6yAi1YmXdbtgTKyliJ0wubLXTGaU9OlncGUlOrj2WlT3dNr78uk1sWFQWnXOyaQaRdsbHVOSKUAERpqcyTQ0REoYmBCNI8m626AqJ3JhNQXBz4/SiVNwYi9MFicR3aTk02m3xMSanuduHpzmVSElBYGJxy8e4pkXbFxlaPmlFRIc9lm00mvyUiUltJCeB0ql2K0MNABGleVJTaJQiupKTAbt/plM3IAN4h1gurFTh1Su1SSGlp8rFHD2DDBvm/3e7+PDYaqwMXgcauGUTalZUFdO4sW/OdOiXP5aws2bKPiEhtLVsGL9m8ljAQQZql9LcKt6aXUVHA+fOB237NO8Ph9t7qldkcOhXyTp2Ajh3lsRUbK6cpdzDVxK4ZRNoVEwM88QQwYIDMPRMZKfNHhcr3HhGFt+xsYOrU8GnB7S0GIkiTHA7ZrzwiAhg1KnxyRABAYiKwcWPgtl8zEMEvTH0wGKpbuagtMrL6+DWZgLfekncJQiEQoXYZiKhpWrYEdu2S5/Ill8hWEkREanv0UXntEsj6uxYxEEGaVDMjdlQUkJmpdomCp2/f4AQibLbQuXilpjt6VAbtQiVpJSAz3P/8M/D5556DAJGRssVEoLFrBpH2NW8OnDgh6wVPPAE89ZTaJSIiAuLjZXL9YCSc1xIGIkhzlC4Z4XoHs0WLwPYzU97XbduAm28O3H4ouFatAlq3DlzytspK34enatsWuPZaYM0az7leLBY5hOeUKU0voyeVleyaQaQH8fEyEBGOdQMiCm3BGvlOSxiIIM2prJSP58+HZ2UjISE4gQibLTzfX71SEj+eOBGY7d99N/DMM76v17UrsH2752PNYgEWLwaefroppfPs8GEZgAjXwCaRnsTFMRBBRKGp5rDlJDEQQZpjt8vHrVvDs7KRmBicQATpT1JS4AIRBw/Klgu+SkyU3TM8HXP9+sn5ublNK58nSuJXds0g0j62iCCiUJWaKrvJUjUGIkhzlECEkpAq3DAQQY2VlAQcPx6YbSckyAsAX/OKGAyyX7enY27kSOCLL4C8vCYX0S3l+4RdM4i0z2IB/vc//oYRUehhi4i6GIggzbHbZTPzw4fDs7IRHw+UlgZu+wxE6JfNBuzdG5htJyYCW7Y07mLem4SUgWrJUTMQweOeSNtyc2VCXp7LRBRq4uICW3/XIgYiSHPsdiAtLXwDEUYj4HTKv0BwOHhnWK9atwZ27gzMtuPi5DHZmHMyNhY4d67+ZdLTAzOcrMMhH/ft43FPpHUxMbKiH451AyIKbRyJri4GIkhz7Pbq5k3hWtno2RO4557AbJt3hvUrKyswF/NAddeGxhw7MTHA2bP1L9OjB/Dmm40qWr2UFhElJawkEGlds2aND4gSEQUa6xmuGIggzVFaRBQXh29l409/ClwTewYi9KtZs+pRZ/zN4ZA/sI1pVXDHHcDvflf/MpdfDhQWymbX/mS3y9YcJ0/6d7tEpB7+hhFRKDIYAteiWYt0G4jYt28fnn32WfTp0weJiYmIjIxEWloahg4digULFtS77urVqzF8+HCkpKQgOjoaHTt2xNSpU1FeXl7vekVFRZg4cSJatmwJk8mEli1bYuLEiTh06FC965WXl2PatGno2LEjoqOjkZKSguHDh2P16tU+v+5wUFEBtGkDrFwZvpUNgwEQIjDbZiBC306dCsx27fbqbg6+Gj8eGDWq/mWSkoC//AW44YbG7cMTh0OO7c1ABJF+REWpXQIiorqs1sDVw7RIl4GIb7/9Fjk5OZg2bRoGDBiAr776Clu2bMGrr76KnTt34rrrrsNNN90Ep5uQ1HvvvYc+ffrg8OHDWLRoETZu3Ihx48ZhypQp6Nu3L854aNe8efNmdOrUCZ9++ileeeUVbN26Fa+88go++eQTdO7cGZs3b3a73pkzZ9C3b188/fTTGDduHDZu3IhFixbh8OHD6NOnD9577z2/vjd6YLfLxHgxMbxgDkQwgoEIfVNyjPib3S4DhIWF/t82IJPQnTlTPdymv9jtQHIy71AQ6Ql/w4goFNlsgRu9TIt0mZqrpKQEDocDL7/8Mu6+++6q6bm5ubj44ovRrl07vP/++7jsssswYcKEqvmFhYUYN24cbDYbFi9ejISEBADAAw88gPLycjz++OO477778MYbb7jsz+FwYOTIkTh+/DhWrVqFiy++GADQunVrpKen45JLLsGoUaOwYcMGNKvVbvnee+/FmjVrMG3aNDzwwAMAgJycHCxevBj5+fkYN24cevXqhTZt2gTirdIk5UI53C+Y4+KA/fuBli39u91wf1/1rkULGY1PTPTvdu12GSzwEHP1i9hYeTehpMR/5bfbgUGDgDVr/LM9IlKf2ax2CYiI6lICEbm5apckNOiyRQQARERE4LbbbqszPTMzE8OGDQMA/Otf/3KZN336dJSXl2Ps2LFVQQjFpEmTYDKZMHfuXOzbt89l3vvvv4+tW7fioosuqgpCKPr06YNevXphy5Yt+PDDD13m7d27F/PmzYPJZMKkSZNc5iUkJGDcuHEoLy/HjBkzfHrtesdAhNSrF7Btm/+3G+7vq94lJsoLeX9TcrcEOtLfujVw7Jj/tudw+D8oQ0TqOXlS5pQhIgo1Nhvw3nuBG8FMa3QZiLjyyitx4sQJWCwWt/OzsrIAACdqDExfWVmJRYsWAQAGDhxYZx2r1YqePXvC6XTWyTHx0UcfeVwPAAYNGgQAdQIRCxcuhNPpREFBAaxWq8f1Fi5ciMpAZZjTIOVCubw8cCMAaMFFFwGvvOL/7TIQoW+BDERkZclhdQMpOdm/wQ67XbayICJ9sFplFzQiolBz3XVAhw7AP/+pdklCgy6/qiMjIz0GIQCZVBIAOnXqVDVt+/btOPlbtrJ27dq5XU+ZvqZWG14lqWSg1ispKcFOhs6qKBfKHTvKkTPC1UUXARER/t8uAxH6duGFwP/9HzBnTv3LOZ3ArFneb9duB37/e5lENpCSkoAVK/y3PbsdMJn8tz0iIiIid5KTgRtvBBoYxyBs6DJHRH0cDge++uorAHDpDlFYI8Naenq623UzMjLqLHvmzBkcOXLEq/WKi4tx7tw5xMTEuGzH03o1pxcWFiI/P9/tcuXl5S4jepSWlgIAnE6n24ScocTpdEII4VM5y8vlhfJtt8k7HyH+EgPMAKfTvxkry8tlgCO839fgacw50BSDBwOpqcBnn9V/7JSVAXfcYcQf/uBduSoqDLDZBFJSAnvsXHUVcPfd/jvuKyrk8X7mDI95tQT7HCAKNTwHKNyF0zkQFwf8/LP/6++hwpfPMOwCEXPnzkVxcTHuvPNO9OzZs2q6cvEeERGBSA+3g5UAwqka464o6wFAdHR0vesp6yrPlXU9rRcREQGTyYTy8nKXfdY2Y8YMTJkypc70o0eP4ry/U8z7mdPpxKlTpyCEgNHLtpRHj5pQVmbE739fBgD4LQ4UlioqEnDkyEm/bvPEiWjExjpx5Ej9w9WSfzTmHGg6I/bvj8WRI6c9LnHqlAFAWlWgtSHl5Qk4duykf4pXD6MRKCvz33F//LgZUVHA6dPncdrz20EBpM45QBQ6eA5QuAu3c6B16wQcOHBSl0MNn/ahMhVWgYidO3di8uTJ6N27N15++WW1i+M3jz76KO6///6q56WlpWjRogVSUlLq7aISCpxOJwwGA1JSUrz+4omJkc2zU1PjA1y60BcVZUBqaqpftxkdLZPp+Hmz5EFjzoGmiosDDh40IDXVfRAUqB4aNiUlFQZDw9uMjPT/sRiMfUVHAwkJQGpqaH9X6pka5wBRKOE5QOEu3M6BrCwDmjVL1WVd2+zDsEVhE4goKirCFVdcgdzcXCxevLjOm6RcsFdWVsJut7ttFXHu3DkAcEksWfNCv6yszO2+lfU8retpvcrKyqouF+6SWSpMJhNMbjo5G41GTZzMBoPBp7JWVso+3Rp4aQFnMABGoxdXiT7g+xt8vp4DTRUXB5w4Uf+x43DIx/37jcjObnibgTgW69vXli0GtG/f9OPU6eTxHgqCfQ4QhRqeAxTuwukcSE4GSkoMyMxUuyT+58vnp/9PGsChQ4cwcOBApKam4uuvv3Z7UZ+Tk1P1f7GHDIhKksuay8bFxVXdmWtovfT0dJduGsp2PK1Xc3rNfYY7JlOsFhkJPP+87OfeVDt3An368P0NF9nZwG9fTW4paWfqW6Ymb1pN+NMFFwC7djV9O3Y70CxsQvJERESkNptN3hAKd7oPROzduxf9+vVDamoqli5dikQPA8bn5eVVBSi2bt3qdhlles3cEgBw4YUXBnS9hIQE5Obmul0mHPFCudpf/wps2eKfC7KzZ4Hvv+f7Gy66dAFq5N2to6ICsFgCM9RnUyndD/0xfC+PdyIiIgqmpCRg9261S6E+XQciduzYgb59+yInJweLFy9GXFxc1bwNGzZg8ODBVc8jIiIwYsQIAMDXX39dZ1unTp3CmjVrYDQaMXLkSJd51113ncf1AGDp0qUuyylGjhwJo9GItWvXuk1Gqaw3YsQIRARinEaN4oVDtebN5TCm/kjYWVkpH/n+hof09Pqj8eXlQFpaaAYiPvoIeOgh4Nixpm/L4eDxTkRERMHTsiWwb5/apVCfbgMRmzZtQr9+/dC9e3d89tlndUamOHHiBL788kuXaY899hiioqIwb968OoGBV199FeXl5RgzZgxatWrlMm/06NHIy8vD6tWr8f3337vM+/777/Hjjz8iPz8fo0ePdpmXnZ2N2267DeXl5fjHP/7hMu/kyZOYO3cuoqKi8NhjjzXqPdCrigroMstsY6WkAIcPN307dnv1Iy/M9C8pqeFARHo6sGcPcPx40IrlleRk2TVjw4amb4tdM4iIiCiYWrQAagy8GLZ0Wf3auHEjLrvsMhw7dgx79uxBnz596izjbmiR3NxczJ49G2PGjMGQIUPw5z//GRkZGfj444/x1FNPoaCgAH/5y1/qrBcZGYmFCxeif//+GDlyJF599VV0794d69atw6RJk5CUlIQFCxagmZva7syZM7Fhwwb86U9/QlRUFK699loUFRVh8uTJOHbsGN58803mh6iFF8qu2rQBliwBajW48ZkSiDh1iu9vOEhKAjZv9jy/ogJo104GIpKTq0fRCBVdugAfftj07fD7hIiIiIIpIQE4eVLtUqhPl4GIpUuX4thvbXb/97//+bTurbfeirZt22LGjBm45pprcObMGbRu3RpPPvkkHnroIY9DklxwwQXYsGEDpkyZgnvuuQdHjhxBamoqhg0bhqeeegrNmzd3u158fDxWrlyJP//5z5g9ezYef/xxxMbGok+fPli5ciV69+7t24sPA7xwcNWuHfDaa03fjjJKwpEjfH/DQbt2wD//6Xl+eTmQmwusWSOfnz8P+DAiU8AlJ7NrBhEREWkPAxGSLgMR9957L+69995Gr9+rVy98+umnPq/XvHlzzJo1y+f1zGYznnzySTz55JM+rxuOGIhwlZICFBfLYQgNhsaPXmC3A7GxwNGjfH/DQXq6bBExbRrw+ON15+/fL5NVnj8vnxcXw6thPIPFZpNlaip2zSAiIqJgMpur61fhTLc5Iki/GIhwZTAA8fHAXXcBTzzR+O3Y7TKowRYR4cFgAH78EVi5Evj6ayAvTwYfFIWFstuPYt264JexPiYTsGlT07fD7xMiIiIKtvJyDuHJQARpDi8c6jIY5N3hplwsOhyyqdjmzXx/w0VMjGxZ8NNPMmfE+vXV8yor5agsBQUyIOFmYB/VdezY9NwV7JpBREREwTZoEHDVVWqXQl0MRJDmMBBRlxCA1dq0i0W7HejWTTYVY1P18NG5M/Drr0CnTq4tDJTRaZ5+Gpg3zz/5GPwtJgY4d65p22DXDCIiIgq2Bx8EWrUCDh1SuyTqYSCCNOObb4Brr+Xwne5ER8uLqQMHGr8Nux1IS5P/M9ATPnJygF9+kV0zSkqqp9vt1eeZzQbs3atO+eoTHy9zmjQlGMHAJhEREakhP98/+a60ioEI0oxTp4BPPuGFgzsJCfIiMi6u8dtwOGSOCIDvbzhp0UK2dsjIcO2rWFFRfRzk5ADbtqlTvvrExwN33gnceGPjt8GuGURERKSG1FSZmy1cMRBBmuF0ykcGIuqKipK5HYDGR1aVZJUA399wYrVWByL27aueXrNFhNksW92EGotFJto8fLjx22DXDCIiIlJDy5bAsmVql0I9DESQZtjt8vHUKV4o19ajhxzxYORIYOPGxm3DbpctKwC+v+FE+czj4oCzZ6un12wR0ZDKSsCowq/JnXcC//gH0LVr47fBwCYRERGpYcAAYM8etUuhHgYiSDMcDpnDYO1aXjjUlpwMnDkjI6tbtjRuGzWbqPMOcfiwWuWjySRHzlDUbBEB1D86hVoX86mpwKhRQFFR47fBrhlERESkhpgYYPdutUuhHgYiSDPsdpnhv7hYXjRRtYICYMoU2TKisdl3lYvJRYvkcKAUHsxm+RgV5RpsqN0iorwc+O47GfCqTc1WBf4YLYaBNyIiIlKDkig+HDEQQZpht8s7oGfOMBBRW3o68Kc/yZYRpaWN24ZyQXbttf4tG2mDySS7V7z9NvDYY7K7RURE9fxDh+SY13Pm1F1XzUCEwSBzRTSWEOp0KyEiIiICgLIytUugDt4HIs2oObwkLxzcs1qBkycbty6bqIe3yEg5CsX338sEkO3bu7aMGT5cBitqjqyhYJ4FIiIiIt+tWiW7aBw4ADRvrnZpgouXc6QZSosI8iwuzn3TeW/wYjJ8mUyyNYzFIrtglJfXXWbqVOCWW+QwsbU5HOp2bzAYqkfVISIiItKK3FwgP7/xo95pGQMRpBkOB5CZqXYpQpvRKL/IHnvM93XZVz58nT8vzy2LRbao8ZRzISkpNFtERESEd9ZpIiIi0qbly4G77pJDqYcbBiJIM+x2ICdH7VKEvtWrGzeEJ7tm0MCBMtjgKXFSfLz7HCRqByK6dQOOH1dv/0RERESNERMjc7wxEEEUwpSLneRktUuiT2pfTJL6Lr9cJqPMz3c/32gEDh+W/ysjbLzyikyypOaxY7E0PkkrERERkZqSk8PzhgoDEaQZyoXy0aNqlyT0lZe7DsXoDXbNIIXRKEfNcCchQXbdUEaquP9+mWCJgQgiIiIi32VmAuvWqV2K4GMggjSDd+y9Z7MBu3b5NhwQu2aQIiHB8+gr0dEyYWXNpKiHDqkfiDh9Wr39ExERETVW27ae83PpGQMRpBm8UPZe27byDnFMjPctIxjoIUVcHLB1q/t5CQky8FDTnj3qByLuuAO45x71ykBERETUGJGR8jon3DAQQZrBrgPei4+vvkPc0J1iZdhDvr+k6NTJc4uI+HjZ2gaoHkFj/Xp1AxGXXSaDI0q5iIiIiLTEU71LzxiIIM3gHXvvWSzAqlXy/4aS30RFARs2sMUJVbNaqwNUtbVoAfz733LIzAMHgObNZVcNNY+dyEggMVG9/RMRERE1RVycvNYJJwxEkGYwEOE9i0UO49mqlWw2X5/KStlqgu8vKaxWz/NycoB//Qu47Tbg+utla4SjR0Pn2PE1SSsRERGR2lJTwy/fFQMRpBm8UPZefLxsCZGfD+zb1/Dyx46xawZVqy8QkZoKXHMNcMklQGEh8Nxz8vgJhWMnKgo4ckTtUhARERH5JhxHAGMggjTD4QiNix0tsFhkIKJtW9lsviFHj7JrBlVr2RK47jr38/r2BT75BEhKksdMaqr6XTMUOTnA3r1ql4KIiIjIN1Zr+AUieFlHmsEWEd5TAhHKRWJ9bDZ5Z1sIwMjQJEHmgfjXv+pfJilJPirnZCicm1lZ3g9/VVoKGAyBLQ8RERGRNyyW8BvCk5cdFBIGDDBg3br6l2EgwntK1wxvAhG5ucCOHcEpF+lHXp7r81A4N61W73/Eb78duPvuwJaHiIiIyBvsmkGkkm+/NWDLlvqXYdcM71ksMgllVhawdm39y6akABUVwSkX6UdqquvzUGhNY7V6P/yVEMD+/QEtDhEREZFXwrFrRghUHYkAk0k0eAEhBJtSeys+Xj4mJMiuF/UxGDjSAPnOYAC2b5f/d+2qalGqWCzA7t3eLZuQIFsNRUQEtEhEREREDWKLCCKVJCQABw+qXQr9MJnkY1SUd8szwEON0batfPzpJ2DUKHXLAshRYg4c8G7ZqChg167Q6FJCRERE4Y05IohU0r599d1VT3ix7DteZFEwREaGxvmZkuL9GNwOh0y4yXOEiIiI1KYkmq+sVLskwcNABIWE1FRg61b388rLg1sWPYmJ8Tzv3Lnq/0+dCr/mYKQ/UVEyqa037Ha5PPPOEBERkdpatgS2bAGefFLtkgQPAxEUEpxOIDPT/bzYWOCHH4JbHr0wGOQdYncjZ8TGVgd5LrwQKCoKbtmI1ORwyECdt4ELIiIiokBJTATmzg2v+jgDERQSlLuT7lRWAsXFTKjoq82bgZwc4OKL644O4HTKx8OH5WgHSUnAiRPBLyORv1VUAPPmNfx9YbcDcXHAkSPBKRcRERFRfRIT3d881CsGIigkOJ0ywaKnu5NnzgS3PHrQvr0cESApSfY5q0lJhnPwoOwjz0AE6cUrrwDvvNPwd4bDAbRuDezbF5xyEREREdUnIiK8rnkYiKCQERPj/qIgIgI4ezY0kuFpUWYmcOiQ67Tz5+Xj+vWyJYrFEl7JcUi/OnSQfw0F1ux2GYhgbhQiIiIKFZWV1S2X9Y6BCAoZ7dq5H3ovNja8ooP+1qEDsGmT67SKCqBnTzlSSWQkUFCgTtmIAiEpqeGmjQ4H0KUL0KdPcMpERERE1JDMTGDtWrVLERwMRFBIEALIyABOnqw7Ly6OgYimaNcO+OQT14SfdrsMUCxbJltEZGSoVjwiv0tMdB/UrG3kSGDBgsCXh4iIiMgbw4YB27apXYrgYCCCQobV6j4QYbVW5zQg35lMwGOPuXZ7qagA0tJkd5fISCA+vrq7BpHWZWQAu3erXQoiIiIi36SmAseOqV2K4GAggkJGQoL7QISn6eS92u+h3S4DEBUV1aOVmExqlIzI/7KzmfuBiIiItMdmYyCCKKgMBiA5GVi3ru68hATg11+DXiRdqR2IUAIQFRUyIEGkJwxeEhERkRa1aAH8/LPapQgOBiIoZLRp4374zmbNZOIWaryEBGD//urnSouIkhIZjCDSEwYiiIiISIuSkqpbK+tdM7ULQKSIjZXDdJL/tW4N7NghhwSy2+VfVBTQqRNw9KjapSPyr4QEYOdOtUtBRERE5Dsh1C5BcLBFBIUEIQCjsf4TL1xOykCIjZU5IKZOBUaPru6SkZQUPv3QKHyYzUBEhNqlICIiIvKd2QyUlaldisBjIII0wenknXt/KC0Ftm6t7ppx2WXyz6fGSgAAKx9JREFU7jGR3sTEqF0CIiIiIt/l5QErV6pdisBjIII0oWdP1+EnqXGUCKuSrPKuu4APPlC7VET+V14O/PAD4HCoXRIiIiIi740fD0yeLG/E6hkDEaQJ2dlAYqLapdCH8+erW0QAcsQSIr3573+BP/4RmDdP7ZIQERERea9NG6BzZ/3fhGUggkKCcjHsdAI//lh3/u9/735oT/LNuXPyPVaSVRLp2dixHPqXiIiItKdjR6CwUO1SBBYDERQSlESUjzwC/Oc/decbDDLZIjVeeTlw+DDQsmV1skoivXr0UeCSS4AzZ9QuCREREZFvMjL0PxQ5AxEUUlq3Bo4fV7sU+tS1K/Dtt0BysvxiY4sI0rPp04ELLgBOnVK7JERERES+SUhgIIIo4JzO6q4ZNhuHkwyUdu2AI0eA9HSguJgtIkj/oqJkNyQiIiIiLWEggigIaiZONJtlMkXyP4tFjiCQnQ388gsDEUREREREoSghASgpUbsUgcVABKnO4TDwojgIrFb5qGTh5XtORERERBR6EhKAQ4fULkVgMRBBqnM4XC+Kz50D9u5Vrzx6pQQisrOBrVuZ/JPCw8GDwBVXAH/7W/U0JTkuERERUSjKyAB27VK7FIHFQASprmbXDADo1881TwQvGvyjZUv52KqVfDSb1SsLUbB06ACUlrqOxuN0AhER6pWJiIiIqD5RUbJbtZ4xEEGqczgMaNas+rnFIi8cABmEUBJZUtOkpspHpWUEW0RQOLBY6uadsdvh8p1DRERERMHFQASprnaLCItFZol9+OG686jxlICOcgHGFhEUDmJiqgMRp0/Lx9rdwYiIiIgouBiIINXVTlZpscjhJV94gYEIf/voo+r/2SKCwkFUFFBRAXTqVJ17hi0iiIiIKNQZjfLmiV4xEEGqc9ciorhY/u9w8ILBn0aNqv6fgQgKB2YzsHs3kJJSPR43W0QQERFRqMvMlEm39YqBCFJdZaX7FhEAW0QEUnS02iUgCrwHHgBWrJDDYCmBCLaIICIiolCXng4cOaJ2KQKHgQhSXX0tIioqGIgIBKeTgQgKDzExwCWXuAYi2CKCiIiIQl2vXsDEicDatWqXJDAYiCDVyVEzqsfotFhkU2oA2LOHFwyBwJFIKNzYbMD69fJ/toggIiKiUHfFFcBDDwGbN6tdksBgIIJUV7tFRHo6sGWL7Nt94AAvGIio6Tp0AIqK5P9sEUFERERa0Lo1sHq12qUIDAYiSHW1R82IjJSZ7tPTgRMneMFARE2XnAy89x7QuTNbRBAREZE2tGpVPQy53jAQQapzlweirExmuT9+nIEIImq6qCj5eMEFQEkJv1eIiIgo9FmtwKlTapciMBiIINXddFMS/vc/16QFQrBFBBH5lxCyZURREVtEEBERUegzm9kigiigDh+uOy01Vd655AUDEfmLzQbs3MkAJxEREZGaGIgg1SUnV2LyZFFnekwMW0QQkX+1agVs384AJxEREZGaGIgg1XXvbke/fnWnR0YyEEFE/pWTI1tg8XuFiIiItODMGbVLEBgMRISQJUuW4PLLL0dSUhJiY2PRvXt3/P3vf4fT6VS7aEE3dizQrZsMRPDOJRH5i80GFBfze4WIiIi0ISYGKC1VuxT+x0BEiHj++ecxZMgQmM1mfPXVV/jll19w+eWX4+6778bw4cPhcDjULmJAiLo9MgAAc+cCv/sdsHcv71wSkf8kJwObNvF7hYiIiLShdWvg5Em1S+F/vCcUAlasWIFHHnkEHTp0wKJFixD5Ww35+eefR0lJCd544w08//zzePzxx1Uuqf+dOwfExLiPRthssikSLxiIyF9SUgC7nS0iiIiISBsSE2UC/5Yt1S6Jf7FFRAh4+umnAQB33313VRBC8cADDwAAXnjhBZSVlQW7aAF34gSQkOC+64nxt6OTgQgi8hfDbyMF83uFiIiItCAhQZ8tIhiIUNnRo0exfPlyAMDAgQPrzM/Pz0dWVhZKS0uxePHiIJcu8BYvBuLjPfTP+M2JE0EqDBGFDbaIICIiIi2IjwfefBP48ku1S+JfDESo7Oeff4bT6URkZCRycnLcLtOuXTsAwJo1a4JZtKDYsMGA3//+nMf5LVvqMwJIROpiiwgiIiLSgu7dZSDi5ZfVLol/8Z6QygoLCwEAKSkpMBrdx4UyMjJclq2tvLwc5eXlVc9Lf0ur6nQ6Q37EjexsgbS0So/lLCgwICVFIMRfBlGjOZ1OCCFC/lzVk+RkAyIj+b0SKngOULjjOUDhjudA/eSloBFJSQJOZ/0tydXmy2fIQITKlKBBdHS0x2ViYmIAAKdOnXI7f8aMGZgyZUqd6UePHsX58+f9UMrAueUWJ06dOoUjR4TbQMzf/y5zRRw5okLhiILA6ZTngBDuzwHyvzVrAJOJ3yuhgucAhTueAxTueA7ULyIC2LrVAJNJhHzd5fTp014vy0CEDjz66KO4//77q56XlpaiRYsWSElJgcViUbFkDXM6nTAYDPW2CCHSM54DFO54DlC44zlA4Y7nQMNSU9UugXfMZrPXyzIQoTIlUFDfiBjnzskcClar1e18k8kEk8lUZ7rRaNTEyWwwGDRTVqJA4DlA4Y7nAIU7ngMU7ngO6IMvnx8/aZUpCSqPHj3qsU9NUVGRy7JEREREREREWsVAhMoKCgpgNBpht9s9JqPcunUrAKBnz57BLBoRERERERGR3zEQobLU1FT0798fAPD111/Xmb9t2zYcOHAA8fHxGDx4cLCLR0RERERERORXDESEgKeeegoA8Pe//x0Oh8Nl3ksvvQQAePDBB6tGzyAiIiIiIiLSKgYiQkD//v0xbdo0bNq0Cddeey3WrVuH7du345FHHsEbb7yBoUOH4tFHH1W7mERERERERERNxkBEiHjsscfwxRdfoKysDAMGDEC3bt3w5ZdfYubMmfjss8/QrBkHOCEiIiIiIiLt49VtCBkyZAiGDBmidjGIiIiIiIiIAoYtIoiIiIiIiIgoaBiIICIiIiIiIqKgYSCCiIiIiIiIiIKGgQgiIiIiIiIiChoGIoiIiIiIiIgoaBiIICIiIiIiIqKgYSCCiIiIiIiIiIKGgQgiIiIiIiIiChoGIoiIiIiIiIgoaBiIICIiIiIiIqKgaaZ2Acj/hBAAgNLSUpVL0jCn04nTp0/DbDbDaGRcjMIPzwEKdzwHKNzxHKBwx3NAP5TrT+V6tD4MROjQ6dOnAQAtWrRQuSREREREREQUTk6fPg2r1VrvMgbhTbiCNMXpdOLQoUOIj4+HwWBQuzj1Ki0tRYsWLbB//35YLBa1i0MUdDwHKNzxHKBwx3OAwh3PAf0QQuD06dPIzMxssHULW0TokNFoRFZWltrF8InFYuEXD4U1ngMU7ngOULjjOUDhjueAPjTUEkLBTjhEREREREREFDQMRBARERERERFR0DAQQaoymUx46qmnYDKZ1C4KkSp4DlC44zlA4Y7nAIU7ngPhickqiYiIiIiIiCho2CKCiIiIiIiIiIKGgQgiIiIiIiIiChoGIoiIiIiIiIgoaBiIICIiIq/dd999MBgMyM7OVrsoREREpFEMRJAqlixZgssvvxxJSUmIjY1F9+7d8fe//x1Op1PtohFV2bdvH5599ln06dMHiYmJiIyMRFpaGoYOHYoFCxbUu+7q1asxfPhwpKSkIDo6Gh07dsTUqVNRXl5e73pFRUWYOHEiWrZsCZPJhJYtW2LixIk4dOhQveuVl5dj2rRp6NixI6Kjo5GSkoLhw4dj9erVPr9uIk9Wr16Nv/71r14vy3OA9OLs2bOYMWMGevbsiYSEBMTExKBNmza45ppr8M9//tPtOjwHSC/27NmD++67D507d0ZiYiLMZjNyc3MxceJE7N692+N627Ztwy233IKMjAyYzWbk5OTgwQcfxKlTp+rd36lTp/DQQw8hNzcXZrMZGRkZuOWWW7Bt27Z613M6nXj11VdRUFCA2NhYJCUl4fLLL8eSJUsa9bopwARRkD333HMCgLjqqqvEzz//LLZt2yYeeughAUAMGzZM2O12tYtIJJYvXy6aNWsmTCaTeOKJJ8SaNWvEjh07xEcffSTatm0rAIjRo0eLysrKOuvOnz9fREREiF69eonvvvtO7Ny5U7z44ouiWbNmomfPnuL06dNu97lp0yZhs9lEenq6WLBggdi1a5dYsGCBSEtLEzabTWzatMnteqdPnxY9e/YUzZo1Ey+++KLYuXOn+O6770SvXr1ERESEmD9/vl/fGwpP5eXlomPHjqJly5YCgGjVqpXHZXkOkJ5s375dtGrVSvTo0UN8/PHHYteuXWLLli3ipZdeEiaTSTRv3rzOOjwHSC++/vprER0dLSIjI8X06dPFhg0bxJYtW8Srr74qLBaLiIuLEz/88EOd9ZYtWyaio6NFfn6+WLJkidi1a5eYO3euiIuLE23atBGHDh1yu79Dhw6JNm3aiLi4ODF37lyxa9cusWTJEpGfny+io6PFsmXL3K5nt9vFsGHDBADx8MMPi23btok1a9aIK6+8UgAQzz33nD/fFvIDBiIoqL777jsBQHTo0EFUVFS4zJswYYIAIKZOnapS6YiqffzxxwKA+Otf/1pn3sGDB0V8fLwAIGbNmuUyb+fOncJkMonU1FRRUlLiMm/atGkCgPjDH/5QZ5t2u120a9dOABCrVq1ymbdy5UoBQLRv395toG78+PECgJg2bZrL9JKSEpGamipMJpMoLCz09qUTufXUU0+JhIQE8d5779UbiOA5QHpy5swZkZ2dLXr27CnKysrqzJ82bZro1q2byzSeA6QnnTt3FgDE448/XmferFmzBADRuXNnl+klJSUiOTlZmM3mOsfd/PnzBQAxaNAgt/sbNGiQAFAneFZYWChMJpNITk4WJ0+erLPes88+KwCICRMmuEyvqKgQHTp0EADEihUrvHrNFBwMRFBQDRgwQAAQr732Wp15W7duFQCExWIR586dU6F0RNU+/vhjERERIU6dOuV2/k033eT2h3TcuHFV0fjaTp48KUwmkzAajWLv3r0u895++20BQFx00UVu99erVy8BQLz77rsu0/fs2SOMRqMwmUxuf5gfeeQRj5VeIm9t3LhRREVFidmzZ4tly5bVG4jgOUB68vjjjwsA4ssvv/R6HZ4DpCfR0dECgPjPf/5TZ96vv/4qAAgA4tixY1XTn3nmGQFA3HDDDXXWqaysFJmZmQKAWLlypcs85YZlZmam2xanN954o9ublmfPnq26QbRly5Y6673++uv1Bj9IHcwRQUFz9OhRLF++HAAwcODAOvPz8/ORlZWF0tJSLF68OMilI3J15ZVX4sSJE7BYLG7nZ2VlAQBOnDhRNa2yshKLFi0C4P4Yt1qt6NmzJ5xOZ50cEx999JHH9QBg0KBBAIAPP/zQZfrChQvhdDpRUFAAq9Xqcb2FCxeisrLS7baJ6uN0OjF+/HhccsklGD9+fL3L8hwgPamsrMTcuXNhMpkwYMAAr9fhOUB60qVLFwDA5s2b68xTphkMBpjN5qrp9R3LRqOx6nyqfSwr61166aUwGutepno6B5YsWYLTp08jMzMT7dq187jesmXLcPToUXcvk1TAQAQFzc8//wyn04nIyEjk5OS4XUb58lizZk0wi0ZUR2RkpMcgBCCTiQFAp06dqqZt374dJ0+eBAC3P4Q1p9c+xpVkYoFar6SkBDt37nT/YojqMXPmTGzYsAGzZs1qcFmeA6QnGzduRFFREbKzs1FaWoqHH34YHTp0QFJSEnJycjBmzBhs2rTJZR2eA6Q3r732Gpo3b46pU6fio48+QllZGSoqKvDVV1/h/vvvBwD0798fsbGxAGRiV+W8CNSxvGnTJpSVlXm9Xps2bRAVFYXKykqsW7eu4RdNQcFABAVNYWEhACAlJcVtlBMAMjIyXJYlCkUOhwNfffUVAGDSpElV02set+np6W7XdXeMnzlzBkeOHPFqveLiYpw7d67OPj2tV3M6zyvy1e7du/HEE0/gmWee8RhAronnAOnJhg0bAABlZWUoKCjAli1b8Nprr2HFihWYPHkyPvnkExQUFODf//531To8B0hvunbtim3btuHBBx/EuHHjEBsbi+joaFxxxRU4ePAgunTpgrlz51Ytv3v37qpR8Hw5B2o+b2g9p9PpMlpHQ+sZDAakpaW53Sepp5naBaDwUVpaCgCIjo72uExMTAwANDisD5Ga5s6di+LiYtx5553o2bNn1XTlGI+IiEBkZKTbdd0d48p6gOfzQ1lPWVd53tB5FRERAZPJhPLycp5X5LMJEyagffv2uO+++7xanucA6YnShHvfvn3o1q0bPvnkk6obKR07dkR2djaGDh2KW265BYWFhUhOTuY5QLpTUlKCMWPG4D//+Q8eeOABXHfddTCZTPjuu+9QXFyMBx54AImJiVXL+3Is1z4eGzqWa58D3q5X3z5JPWwRQUTkg507d2Ly5Mno3bs3Xn75ZbWLQxQwc+bMwbfffos5c+YgIiJC7eIQBV3NVgd33XVXndacQ4YMQV5eHkpLS/HWW28Fu3hEASeEwODBg/HZZ5/hkUcewQsvvICePXuic+fOuOuuu1BQUID27dvj888/V7uopEEMRFDQKP3ta/bpqk350XeXbIlIbUVFRbjiiiuQm5uLxYsXuyRmAqqP8crKStjtdrfbcHeM18xF4en8qFkhdreup/UqKytRXl5eZz2i+hQVFWHy5Ml46KGHqhKVeYPnAOlJzburHTp0cLtMQUEBAOCnn34CwHOA9OWbb76pOrYfeOCBOvOvvfZaWCwWDB8+HL/88gsA347l2sdjQ8dyY8+B+vZJ6mEggoJG6V989OjRqr5jtSkJAL3pi0wUTIcOHcLAgQORmpqKr7/+2u0PWc3jtri42O123B3jcXFxSE1N9Wq99PR0l6aJynY8rVdzOs8r8tZ///tfnDx5Eq+88gri4uJc/oYMGQJANlevOR3gOUD6ovRHB4CkpCS3y8THxwOQzdcBngOkL2vXrgUApKWleTwH2rVrB4fDgdmzZwMAWrduDYPBAMC3c6Dm84bWMxqNyM7O9no9IQQOHz7sdp+kHgYiKGgKCgpgNBpht9s9JorZunUrALj0uydS2969e9GvXz+kpqZi6dKlLn0ha8rLy6sKUCjHcm2ejvELL7wwoOslJCQgNzfX7TJEtY0YMQI7duzAhg0bsH79epc/pbKZmZnpMh3gOUD60q1bt6r/lYuY2pTpyu8CzwHSIyWw4I7SZenAgQMAgNjYWHTs2BFA4I7ljh07ugTjGlpv165dqKiogNFoRPfu3T2+FgouBiIoaFJTU9G/f38AwNdff11n/rZt23DgwAHEx8dj8ODBwS4ekVs7duxA3759kZOTg8WLF1fd+QVkRvWax2pERARGjBgBwP0xfurUKaxZswZGoxEjR450mXfdddd5XA8Ali5d6rKcYuTIkTAajVi7dq3bBEzKeiNGjGA/f/JafHw8cnNz3f41b94cANCsWTOX6QDPAdKX9u3bIy8vDwDwv//9z+0ymzdvBgBcfPHFAHgOkL4ox39xcbHHJI/btm0D4DpiRX3HstPpxDfffOOyXO31li9f7rb1tKdzYPDgwYiLi8OhQ4fcBiOU9S699FKkpKS4fR2kAkEURMuXLxcARMeOHYXdbneZN2HCBAFAPPPMMyqVjsjVxo0bRXp6urjmmmvE+fPn68xftmyZqP01umPHDhEVFSVSU1PFyZMnXeZNmzZNABDjxo2rs62KigqRl5cnAIhVq1a5zFu1apUAIPLz8+ucN0IIMXbsWAFATJ8+3WV6SUmJSE1NFVFRUWLnzp1ev26i+ijHfatWrdzO5zlAevLWW28JAKJDhw51jr3PP/9cABA2m02UlJRUTec5QHpx9uxZkZaW5rF+vnjxYgFAABBffvll1fQTJ04Im80mzGaz2LVrl8s68+fPFwDEgAED3O7zsssuEwDEe++95zK9sLBQmEymOuebYsqUKQKAuP32212mV1RUiA4dOggA4ttvv/X2pVMQMBBBQaf8CF911VVi7dq1Ytu2beLhhx8WAMTQoUPd/sASBduvv/4qkpOTBQDRpUsXUVBQUOdPqTDW9vbbbwuj0Sh69+4tVq5cKQoLC8WLL74omjVrJgoKCkRpaanHfSYlJYn09HSxcOFCsXv3brFw4UKRnp4ukpKSxK+//up2vdLSUlFQUCCaNWsmXnzxRVFYWChWrlwpevXqJYxGo3j77bf9+t5QeDpy5IgoKioSCxcuFABEVlaWKCoqEkVFReL06dMuy/IcID1RbpQMGzZM/PTTT2LPnj3i7bffFsnJycJisYhly5bVWYfnAOnF0qVLRWxsrGjWrJl49tlnxZYtW8SuXbvE7Nmzhc1mEwDE3XffXWe9r7/+WpjNZpGfny++/PJLsWvXLjF37lwRFxcnsrOzxcGDB93u7+DBgyI7O1vExcWJuXPnil27dokvv/xS5OfnC7PZLL7++mu369ntdjF06FABQDzyyCNi+/bt4ueffxZXXnmlACCmTZvm1/eFmo6BCFLFF198IQYOHCisVquIiYkRXbt2FTNnzhQOh0PtohEJIYR45ZVXqqL8Df2588MPP4irr75a2Gw2YTKZRLt27cSUKVNEWVlZvfs9cOCAmDBhgsjKyhJRUVEiKytLTJgwQRw4cKDe9crKysQzzzwj2rVrJ0wmk0hKShLDhg0T33//faPfA6KaWrVq5fEceOqpp+osz3OA9OSDDz4Ql156qbBarSIqKkq0bt1a3HnnnXXu9tbEc4D0YufOnWLSpEkiLy9PmM1mERkZKTIzM8Xw4cPF559/7nG9LVu2iNGjR4u0tLSq8+b+++9326KhppKSEvHAAw+INm3aiKioKJGWliZGjx4tNm/eXO96DodD/PWvfxVdu3YVMTExwmq1ioEDB9ZbRlKPQQgh/N3dg4iIiIiIiIjIHSarJCIiIiIiIqKgYSCCiIiIiIiIiIKGgQgiIiIiIiIiChoGIoiIiIiIiIgoaBiIICIiIiIiIqKgYSCCiIiIiIiIiIKGgQgiIiIiIiIiChoGIoiIiIiIiIgoaBiIICIiIiIiIqKgYSCCiIiIiIiIiIKGgQgiIiIdmDp1KgwGQ9Xfm2++qUo5zp8/71KO7Oxsv2z36aefDonXR0RERE3HQAQREVGAnThxAk8//TR69uwJq9WKqKgoZGRkoHv37rj11lvxz3/+E1u3bm3SPu677z4UFRXh+uuv91OpG8dsNqOoqAg//fSTX7c7efLkBl/ftGnTkJSUhG+++cav+/anPXv2uARUav4tX77cZdnawRd/B3e8tXTpUiQlJWHGjBlB3S8REekXAxFEREQBtHnzZnTs2BEvv/wyhg0bhqVLl6KwsBDffPMN7r33Xvz888+YOHEiRo0a1aT9xMbGIj09HdHR0X4qeeOlp6cjJSXFr9uMi4tr8PW99957KCkpwaJFi/y6b39q0aJFnUDNTz/9hKKiIlx88cUuyyrBlwceeAAA0Lt3bxQVFWHNmjVBLfPHH3+MkpISzJ8/P6j7JSIi/WqmdgGIiIj0bMKECSguLsYHH3yAG264wWVe+/btccUVV6Bbt24qlU5fHnzwQbz++usYO3as2kXxKCIiAunp6Th//nzVtJSUFKSnp9dZNi4uruoPAKKiotwuF2jjxo3D2rVrcccddwR930REpE8MRBAREQXIqVOn8P333wMAhgwZ4naZ9PR03HDDDVi6dGkwi6ZLY8aMwZgxY9Quhu4UFBTgxx9/VLsYRESkI+yaQUREFCBOp7Pq/4MHD3pc7sknn8TChQvdzjt37hymT5+Orl27IjY2FtHR0WjXrh3Gjh2LL774wmUfta1cuRKXXXYZ4uPjYbFYcNVVV2Hbtm0el9+zZw9uv/12tGrVClFRUUhJScHQoUPx5Zdfelznf//7H6655hokJiYiNjYWPXr0wFtvveVx+eTkZI+5DsaMGeOSC2HPnj0et1PT8uXLXdarGYxYuXJlnXkHDhzATTfdhOTkZERHR6NHjx744osv6n1fbrnlFqSmpsJsNiMvLw9PPvkkzp07p2ruhppOnDiBRx99FB06dEB0dDSsViv69OmD2bNno7Ky0mXZP/zhD3VyUyxevBj9+/eH1Wp1mV7f6/OUw6LmX2pqap2yHjhwAHfddRdycnJgNpuRlJSEQYMGuT0HBg0aVOeYmDNnDjp37gyz2Yy0tDTccccdOH36tF/fTyIiCiwGIoiIiAIkMTERmZmZAIA777wThw8fdruczWZDfn5+nelHjhxB79698fTTT+OGG27AL7/8grVr12LSpElYtGgRrrzySvz73/92u83vvvsOU6dOxfPPP4+1a9fiySefxJIlSzBw4ECcOXOmzvIrV65E165d8cknn2D69OnYtGkT3n//fZSUlGDw4MF4/vnn66yzfPly9O7dGytWrMArr7yCTZs24fXXX8fnn3+OqVOnui3X5s2bPSaynDlzJoqKipCVleV2vicXX3wxioqK8Je//KXOvIsuushl3rFjx3DjjTfi5ptvxpo1a/DOO+9g9+7duPrqq/Hzzz+7LW+PHj2wYMECPPbYY9i8eTMWLlyIEydO4Morr6xaTo3cDYodO3agW7du+Pvf/4677roLmzZtwooVK9C1a1dMmDABV199NSoqKqqWf/nll1FUVITevXsDAD788EO8+OKLmDZtGtavX49nn322atmGEo9ef/31KCoqcvnbtm1bVRcSJb+F4ocffkDnzp2xYMECPPvss9i6dSu+/PJLJCYmYtSoUbj99ttdlv/oo49cjokZM2Zgw4YN+PDDD/Hjjz/iiiuuwKxZs3Drrbc27U0kIqLgEkRERBQwr7/+ugAgAIjo6Ghx8803i4ULF4rS0tIG1x0yZIgAIF544YU689577z0BQHz88ccu02+77TYBQCQmJoozZ864zBsxYoQAIN555x2X6SUlJSItLU0AED/88IPLvLKyMpGRkSGMRqP46aefqqafO3dONG/eXAAQn376qcs6lZWVolu3bgKAaNWqVZ2y79692+M8IYRo1aqVACB2795dZ57y+ubNm1dn3rx58wQAcdttt3mcB0CsWrXKZd7MmTMFADF+/Pg663Xv3l0AEDNnzqwz75prrqnapq+U98DT66zpqaeeEgBE//7968xzOByiU6dOAoB4//3368y/+eabBQDx4IMP1pnXv39/AUA0b95clJWVuczLy8urep88fV5PPfWU2/d69OjRAoAYNGiQcDqdVdNPnjwpMjIyBADx/fffu6xTWVkp+vbtKwCIV199tc42lWPi8ssvd5lut9tFSkqKACD27dtXZz0iIgpNbBFBREQUQHfccQdeffVVJCUloaysDPPnz8fIkSNhs9kwYMAA/OMf/0BpaWmd9datW4fFixcjMjISEydOrDN/1KhRyMzMRGRkpNv9Xn/99YiNjXWZdtFFFwEA1q9f7zJ9zpw5OHz4MHr37o1evXq5zDObzRgzZgycTif+8Y9/VE1fsGABDh48iObNm+Pqq692WcdoNGLSpEme3xQV5efn1xmdwtP7smLFCqxbtw5RUVEYP358nW3dfffdfilTx44dXRJT1v6bPn26x3U//fRT/Prrr1W5Rmq77777AAB/+9vfUFJS4nYbEyZMgNlsdpm2bdu2Ou9Tbbfffjuefvppl2nz5s3D+++/j5SUFLzzzjswGAxV8+bMmYOioiJceOGFVa0xFEajEffccw8AYOrUqR67HI0bN87lebNmzVBQUABAdhMiIiJtYCCCiIgowP74xz9i//79ePfddzFq1CgkJCTAbrdj2bJlmDRpEnJycup0sfjvf/8LAGjXrh3i4+PrbDMyMhIHDx506R5QU25ubp1pSUlJAFDnglTZV48ePdxuq02bNgCAVatWVU379ttvAaDqIrC29u3bu52uNl/eF+U1tmvXrk5QB/Dfa/ziiy+wfv16j3/uAlGKmp9dzYt+RdeuXREVFYXz58/ju+++c7uNxr6OzMxMl7wR27dvx9133w2DwYA333yzzggfSlkvvPBCt9tTphcVFeHXX391u4wvnx8REYUujppBREQUBDExMbj55ptx8803o7KyEqtWrcIHH3yAt956qypvwebNm9GqVSsAwN69ewHIoR0bw2az1ZnWrJn82a+dvHDfvn0AgH/+85+YO3dunfWU5Wsm3Dxw4EC95VNjmElvuHtflFYltd+XYL3GVq1a1ZvoUrnQdkc5TtwlhQTkcKE2mw1FRUVVy9bW2GOspoqKCtx44404e/Ys7r33XgwdOtTnsqalpbks26VLlzrL+PL5ERFR6GIggoiIKMgiIiLQr18/9OvXD5MnT0aPHj1QUlKC999/H4888ohf9uHu7nhDJk2ahD/+8Y8+bVMI4fN+GhKIbSoa874EsjyhoDHvSW0PPfQQfvnlF3Tr1s1tYlN/8UdZiYhIfeyaQUREFEDTp0/H6tWrPc5v06YNbrzxRgBwGa5SaRlx9OjRgJav5r6EEMjNzfX4l5OTU7WOMoqBp/IVFxd73F9ERAQAz3ewjx071qjX4W9NeY3Bonx2nkZkqaysxPHjx12W9bfPP/8cM2fORGxsLD744ANERUU1qqw1pweqrEREFBoYiCAiIgqgWbNm4Ysvvqh3GSVRYM0m8ldccQUAYOvWrTh9+nSddcrKyjB48GDMmjWryWVU9uVpmEYhBC6//HJMnjy5alr//v0BAGvXrnW7zpYtWzzuz2q1AnDfp7+oqAjnzp3zruABprzGbdu2uR3ytL7XGCzKZ7dmzRq3CR7Xr1+PiooKmM1m9OvXz+/7P3ToEMaMGQNAJsTMy8tzmf/mm29WvXdKWT0F5pTjLyMjA506dfJ7WYmIKHQwEEFERBRgb7/9Nk6dOuV23pkzZ/Dxxx/DYDDg2muvrZrevXt3DBkyBHa7Ha+//nqd9d588018+eWX6NatW5PLN378eKSnp+OHH37A999/X2f+/PnzsXTpUlx66aVV00aNGoXmzZvj0KFD+Oyzz1yWdzqdePXVVz3uz2KxoHXr1jh79iy2bt3qMs9djgq19O3bF927d0dFRYXbcv3tb39ToVSurrnmGlxwwQU4cuQI3n///TrzX3nlFQDAXXfdhcTERL/u2+l04tZbb63KcTJ27Ng6y4wdO7aqhYtynP38889YuXJlnW3NnDkTAPD444/DaGQVlYhIz/gtT0REFEAGgwF79uxBr169MG/ePGzevBkHDhzAunXrMGvWLPTo0QN79uzB008/je7du7us++abb6JTp054/PHH8fzzz2PHjh3YvHkz/vznP+P+++/Hww8/jJ49ewKQLSSKi4tRVlYGADh16hSKi4tRWVmJyspKFBcXVwVDai9rtVqxaNEiWK1WXHPNNZgzZw527dqFjRs3Yvr06ZgwYQLuvvtuXHXVVVVli46Oxrvvvovo6GiMGTMGb731Fvbu3Yu1a9fixhtvhMViAYCqfZ84ccLltSm5KMaMGYNVq1Zhz549eO2117Bu3Tq0bNkSgOwSoXR/OHPmjNvXV1ZWhoqKCrev78yZMw2+9qNHj1Z1vai9LAC88847sNlsePjhhzFz5syq9+Wuu+6qN4mkJ8o+anb3UF5nRUWFy7LKa1ZaFCivs+a6ERERWLhwIVq0aFE1VOyuXbvw66+/YtKkSZg/fz6GDh2KadOm1dmusr8TJ07Ued2Kmvur/Vk+99xz+Oabb5CYmIi7774bGzdurPNXk3KcJSYmYuTIkZg/fz727t2Ln3/+GTfeeCNWrFiBP/zhDy5Dv9Y8jpX3SilPfcc8ERGFOEFEREQBc+jQIfH666+L0aNHi44dOwqLxSKMRqOIiYkReXl54ve//71YuXKlx/XPnDkjpk6dKjp16iSio6NFUlKSuPjii8UHH3wgnE5n1XLz5s0TAOr87d69W+zevdvtvHnz5rnsa9++feKPf/yjyM7OFlFRUSI9PV1ceuml4qOPPnLZV03r168Xw4YNE1arVZjNZtGhQwfx3HPPie3bt7vs66KLLnJZz+l0iueff160adNGREZGiqysLPHwww+L8+fPi1atWrmsa7fbxVNPPeXxNSxbtsztvKeeeqrB1157XwDEbbfd5lLWXbt2iZtuuknYbDZhMplEu3btxAsvvCDsdrsAIAwGg9fHg6fyABDLli1zWdbTa27VqlWd7R4/flw88sgjIj8/X5hMJhEfHy969+4tZs2aJRwOh1fbrf26hRBul+vfv78QQojs7GyPr6X2MVjTvn37xKRJk0Tr1q1FVFSUSEhIEAMGDBAfffRRnf3fdtttHl9/fcc8ERGFNoMQOk8FTURERBQAp0+fhsViQWJiYp0WH0REROQZu2YQERERebBy5UosWbLE7bzNmzcDALp06RLMIhEREWkeAxFEREREHixduhT33HMP7HZ7nXnKiCXukjQSERGRZwxEEBEREdVj+/btGDFiBFasWIF9+/Zh3bp1mDRpEubOnYsbb7wRt956q9pFJCIi0hTmiCAiIiLyYN++fXj33XfxxRdfYM+ePTh69CjMZjM6d+6MsWPHYuzYsTAYDGoXk4iISFMYiCAiIiIiIiKioGHXDCIiIiIiIiIKGgYiiIiIiIiIiChoGIggIiIiIiIioqBhIIKIiIiIiIiIgoaBCCIiIiIiIiIKGgYiiIiIiIiIiChoGIggIiIiIiIioqBhIIKIiIiIiIiIgub/Af8imnqNcwy2AAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='Inv',\n", - " component='LiI_Br_Power_stored', location='HO')\n", - "# plot_results.schedule(results=results_cost, y_axis='Inv',\n", - "# component='LiI_Ro_Power_stored', location='HO')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(11, 6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI_Br', 0): 133.4384183001242,\n", - " ('HO', 'LiI_Br_discharge', 0): 100000.0,\n", - " ('HO', 'LiI_Ro', 0): 132.70732906215076,\n", - " ('HO', 'LiI_Ro_discharge', 0): 100000.0,\n", - " ('HO', 'PV_Cd', 0): 0.0,\n", - " ('HO', 'PV_Mo', 0): 0.0,\n", - " ('HO', 'PV_Po', 0): 861.9255409249946}" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI_Br', 0): 82.731819346077,\n", - " ('HO', 'LiI_Br_discharge', 0): 0.0,\n", - " ('HO', 'LiI_Ro', 0): 3938.7535265646347,\n", - " ('HO', 'LiI_Ro_discharge', 0): 0.0,\n", - " ('HO', 'PV_Cd', 0): 0.0,\n", - " ('HO', 'PV_Mo', 0): 0.0,\n", - " ('HO', 'PV_Po', 0): 8067.623063057949}" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_material']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI_Br', 0): 1.0,\n", - " ('HO', 'LiI_Br_discharge', 0): 1.0,\n", - " ('HO', 'LiI_Ro', 0): 1.0,\n", - " ('HO', 'LiI_Ro_discharge', 0): 1.0,\n", - " ('HO', 'PV_Cd', 0): 0.0,\n", - " ('HO', 'PV_Mo', 0): 0.0,\n", - " ('HO', 'PV_Po', 0): 1.0}" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI_Br', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI_Br', 'LiB', 0): 2668.768366002484,\n", - " ('HO', 'LiI_Br', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI_Br', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI_Br', 'Pc', 0): 0.0,\n", - " ('HO', 'LiI_Br_discharge', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI_Br_discharge', 'LiB', 0): 0.0,\n", - " ('HO', 'LiI_Br_discharge', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI_Br_discharge', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI_Br_discharge', 'Pc', 0): 0.0,\n", - " ('HO', 'LiI_Ro', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI_Ro', 'LiB', 0): 0.0,\n", - " ('HO', 'LiI_Ro', 'LiR', 0): 2654.146581243015,\n", - " ('HO', 'LiI_Ro', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI_Ro', 'Pc', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 'LiB', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 'Pc', 0): 0.0,\n", - " ('HO', 'PV_Cd', 'CdTe', 0): 0.0,\n", - " ('HO', 'PV_Cd', 'LiB', 0): 0.0,\n", - " ('HO', 'PV_Cd', 'LiR', 0): 0.0,\n", - " ('HO', 'PV_Cd', 'Mc', 0): 0.0,\n", - " ('HO', 'PV_Cd', 'Pc', 0): 0.0,\n", - " ('HO', 'PV_Mo', 'CdTe', 0): 0.0,\n", - " ('HO', 'PV_Mo', 'LiB', 0): 0.0,\n", - " ('HO', 'PV_Mo', 'LiR', 0): 0.0,\n", - " ('HO', 'PV_Mo', 'Mc', 0): 0.0,\n", - " ('HO', 'PV_Mo', 'Pc', 0): 0.0,\n", - " ('HO', 'PV_Po', 'CdTe', 0): 0.0,\n", - " ('HO', 'PV_Po', 'LiB', 0): 0.0,\n", - " ('HO', 'PV_Po', 'LiR', 0): 0.0,\n", - " ('HO', 'PV_Po', 'Mc', 0): 0.0,\n", - " ('HO', 'PV_Po', 'Pc', 0): 310.2931947329981}" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['material_process']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# milp_min_gwp = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - "# Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL}, objective=Objective.MIN_GWP)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_min_gwp = solve(scenario=scenario, instance=milp_min_gwp,\n", - "# solver='gurobi', name=f\"results_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.cost(results=results_min_gwp, x=CostX.PROCESS_WISE,\n", - "# y=CostY.TOTAL, location='HO', fig_size=(11, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# cost_min = results_cost.output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# cost_min_gwp = results_min_gwp.output['Cost'][None] " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# cost_min_gwp/cost_min" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.model.constraints.emission import constraint_global_warming_potential_network_bound\n", - "from energiapy.model.constraints.integer_cuts import constraint_block_integer_cut" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 12089.108408968663}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# results_cost.output['global_warming_potential_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "def boundser(bound: float, i: int):\n", - "\n", - " scenario_ = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, label='full_case', demand={houston: {Power: 100}})\n", - "\n", - "\n", - " milp_cost_ = formulate(scenario=scenario_, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL}, objective=Objective.COST)\n", - "\n", - " milp_cost_.constraint_gwp_bound = constraint_global_warming_potential_network_bound(\n", - " instance=milp_cost_, network_scale_level=0,gwp_bound = bound)\n", - " milp_cost_.constraint_int_cut = constraint_block_integer_cut(instance= milp_cost_, network_scale_level= 0, location = houston, block= 'battery', process_set = scenario_.process_set, number= 1)\n", - " result_cost_ = solve(scenario=scenario_, instance=milp_cost_, solver='gurobi',\n", - " name=f\"results_slsp_cost{i}\", print_solversteps=True)\n", - "\n", - " return milp_cost_, result_cost_\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_gwp_bound : global warming potential bound for the whole network\n", - " Size=1, Index=constraint_gwp_bound_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : -Inf : global_warming_potential_network[0] : 9752.9679399961 : True\n" - ] - } - ], - "source": [ - "results_dict[0][0].constraint_gwp_bound.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "global_warming_potential_network : global warming potential caused at network scale\n", - " Size=1, Index=scales_emission_network\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " 0 : 0 : 8232.633426423503 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "results_dict[0][0].global_warming_potential_network.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "12089.108408968663" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_network'][0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "objective cost\n", - "constraint global warming potential network bound\n", - "constraint block integer cut\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 201627 rows, 175341 columns and 556403 nonzeros\n", - "Model fingerprint: 0x8717fb5e\n", - "Variable types: 175332 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+05]\n", - "Presolve removed 144822 rows and 109780 columns\n", - "Presolve time: 0.40s\n", - "Presolved: 56805 rows, 65561 columns, 179163 nonzeros\n", - "Variable types: 65557 continuous, 4 integer (4 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 65482 4.6740298e+09 9.392088e+01 5.041239e+08 5s\n", - " 71472 4.8794913e+09 0.000000e+00 1.139831e+08 10s\n", - " 74369 4.7807124e+09 0.000000e+00 0.000000e+00 13s\n", - "Concurrent spin time: 1.33s\n", - "\n", - "Solved with primal simplex\n", - " 74369 4.7807124e+09 0.000000e+00 0.000000e+00 14s\n", - "\n", - "Root relaxation: objective 4.780712e+09, 74369 iterations, 13.72 seconds (34.96 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 4.7807e+09 0 1 - 4.7807e+09 - - 14s\n", - " 0 0 4.7807e+09 0 1 - 4.7807e+09 - - 14s\n", - " 0 2 4.7807e+09 0 1 - 4.7807e+09 - - 15s\n", - "* 1 0 1 6.335667e+09 4.7807e+09 24.5% 11752 16s\n", - "* 2 0 1 4.780712e+09 4.7807e+09 0.00% 6104 16s\n", - "\n", - "Explored 3 nodes (86577 simplex iterations) in 16.73 seconds (40.82 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 3: 4.78071e+09 4.78071e+09 6.33567e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 4.780712421214e+09, best bound 4.780712421214e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "objective cost\n", - "constraint global warming potential network bound\n", - "constraint block integer cut\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 201627 rows, 175341 columns and 556403 nonzeros\n", - "Model fingerprint: 0x4867ba41\n", - "Variable types: 175332 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+05]\n", - "Presolve removed 144822 rows and 109780 columns\n", - "Presolve time: 0.41s\n", - "Presolved: 56805 rows, 65561 columns, 179163 nonzeros\n", - "Variable types: 65557 continuous, 4 integer (4 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 70074 4.7943767e+09 1.147158e+02 2.781769e+08 5s\n", - " 76694 4.6182935e+09 7.295051e+01 7.956525e+06 10s\n", - " 81616 4.7807124e+09 0.000000e+00 0.000000e+00 15s\n", - "Concurrent spin time: 2.16s\n", - "\n", - "Solved with primal simplex\n", - " 81616 4.7807124e+09 0.000000e+00 0.000000e+00 17s\n", - "\n", - "Root relaxation: objective 4.780712e+09, 81616 iterations, 16.39 seconds (39.80 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 4.780712e+09 4.7807e+09 0.00% - 17s\n", - "\n", - "Explored 1 nodes (81616 simplex iterations) in 17.12 seconds (40.43 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 4.78071e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 4.780712421214e+09, best bound 4.780712421214e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "objective cost\n", - "constraint global warming potential network bound\n", - "constraint block integer cut\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 201627 rows, 175341 columns and 556403 nonzeros\n", - "Model fingerprint: 0x2b9e4299\n", - "Variable types: 175332 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+05]\n", - "Presolve removed 144822 rows and 109780 columns\n", - "Presolve time: 0.44s\n", - "Presolved: 56805 rows, 65561 columns, 179163 nonzeros\n", - "Variable types: 65557 continuous, 4 integer (4 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 45501 4.9346452e+09 2.085119e+02 4.530081e+08 5s\n", - " 52121 4.7527762e+09 1.652424e+02 7.364053e+07 10s\n", - " 57051 4.7379764e+09 1.342644e+02 2.074161e+07 15s\n", - " 61321 4.7379768e+09 1.171498e+02 1.377347e+07 20s\n", - " 64511 4.7379757e+09 1.063389e+02 1.766565e+07 25s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 52738 4.8231707e+09 0.000000e+00 0.000000e+00 30s\n", - "\n", - "Root relaxation: objective 4.823171e+09, 52738 iterations, 29.04 seconds (58.83 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 4.823171e+09 4.8232e+09 0.00% - 29s\n", - "\n", - "Explored 1 nodes (52738 simplex iterations) in 29.76 seconds (59.46 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 4.82317e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 4.823170654579e+09, best bound 4.823170654579e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "objective cost\n", - "constraint global warming potential network bound\n", - "constraint block integer cut\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 201627 rows, 175341 columns and 556403 nonzeros\n", - "Model fingerprint: 0xa202baeb\n", - "Variable types: 175332 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+05]\n", - "Presolve removed 144822 rows and 109780 columns\n", - "Presolve time: 0.43s\n", - "Presolved: 56805 rows, 65561 columns, 179163 nonzeros\n", - "Variable types: 65557 continuous, 4 integer (4 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 62895 4.9342178e+09 1.581020e+02 5.775903e+08 5s\n", - " 70616 4.6886856e+09 1.224155e+02 1.748993e+08 10s\n", - " 78589 5.0036678e+09 0.000000e+00 9.075505e+08 15s\n", - " 84683 4.9259599e+09 0.000000e+00 0.000000e+00 19s\n", - "Concurrent spin time: 3.61s\n", - "\n", - "Solved with primal simplex\n", - " 84683 4.9259599e+09 0.000000e+00 0.000000e+00 22s\n", - "\n", - "Root relaxation: objective 4.925960e+09, 84683 iterations, 21.68 seconds (48.35 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 4.925960e+09 4.9260e+09 0.00% - 22s\n", - "\n", - "Explored 1 nodes (84683 simplex iterations) in 22.37 seconds (48.98 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 4.92596e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 4.925959870718e+09, best bound 4.925959870718e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "objective cost\n", - "constraint global warming potential network bound\n", - "constraint block integer cut\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 201627 rows, 175341 columns and 556403 nonzeros\n", - "Model fingerprint: 0x556953f3\n", - "Variable types: 175332 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+05]\n", - "Presolve removed 144822 rows and 109780 columns\n", - "Presolve time: 0.46s\n", - "Presolved: 56805 rows, 65561 columns, 179163 nonzeros\n", - "Variable types: 65557 continuous, 4 integer (4 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 48433 4.8323132e+09 2.554930e+02 2.208332e+08 5s\n", - " 54376 4.7144797e+09 2.154230e+02 2.003387e+08 10s\n", - " 58736 4.6748772e+09 1.886991e+02 3.125184e+07 15s\n", - " 62046 4.6765961e+09 1.752552e+02 1.188189e+07 20s\n", - " 65296 4.6765909e+09 1.645984e+02 2.619700e+07 25s\n", - " 68366 4.6765961e+09 1.532705e+02 8.923078e+06 30s\n", - " 70897 4.9071362e+09 9.470726e+01 1.859263e+08 35s\n", - " 74287 5.7658134e+09 6.646085e+01 6.115087e+07 40s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 57672 5.0454129e+09 0.000000e+00 0.000000e+00 40s\n", - "\n", - "Root relaxation: objective 5.045413e+09, 57672 iterations, 39.56 seconds (77.85 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 5.045413e+09 5.0454e+09 0.00% - 40s\n", - "\n", - "Explored 1 nodes (57672 simplex iterations) in 40.29 seconds (78.50 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 5.04541e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 5.045412926900e+09, best bound 5.045412926900e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint demand\n", - "objective cost\n", - "constraint global warming potential network bound\n", - "constraint block integer cut\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 201627 rows, 175341 columns and 556403 nonzeros\n", - "Model fingerprint: 0xe201effa\n", - "Variable types: 175332 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+05]\n", - "Presolve removed 144822 rows and 109780 columns\n", - "Presolve time: 0.42s\n", - "Presolved: 56805 rows, 65561 columns, 179166 nonzeros\n", - "Variable types: 65557 continuous, 4 integer (4 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 51717 4.6523526e+09 2.830346e+02 1.391935e+08 5s\n", - " 56238 4.5856294e+09 2.647482e+02 5.815249e+08 10s\n", - " 60728 4.5374149e+09 2.536206e+02 9.067492e+07 15s\n", - " 63658 4.5256185e+09 2.418498e+02 9.603745e+06 20s\n", - " 66408 4.5256160e+09 2.322302e+02 9.089677e+06 25s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 48051 5.1734002e+09 0.000000e+00 0.000000e+00 29s\n", - "\n", - "Root relaxation: objective 5.173400e+09, 48051 iterations, 28.74 seconds (58.73 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 5.173400e+09 5.1734e+09 0.00% - 29s\n", - "\n", - "Explored 1 nodes (48051 simplex iterations) in 29.47 seconds (59.37 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 5.1734e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 5.173400240831e+09, best bound 5.173400240830e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results_dict = {i: boundser(\n", - " bound=8232*(1 - i/10), i=i) for i in range(6)}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "y = [results_dict[i+1][1].output['objective'] for i in range(5)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x = [results_dict[i+1][1].output['global_warming_potential_network'][0] for i in range(5)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 122, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plt.scatter(x,y)\n", - "plt.plot(x,y)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from matplotlib import rc" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "plt.scatter(x,y)\n", - "plt.plot(x,y)\n", - "plt.ylabel(\"Total system cost\")\n", - "plt.xlabel(\"Total GWP\")\n", - "plt.title(\"Cost vs emission trade-off\")\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "y = [results_dict[i+1][1].output['X_P'] for i in range(5)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{('HO', 'LiI_Br', 0): 1.0,\n", - " ('HO', 'LiI_Br_discharge', 0): 1.0,\n", - " ('HO', 'LiI_Ro', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 0): 1.0,\n", - " ('HO', 'PV_Cd', 0): 0.0,\n", - " ('HO', 'PV_Mo', 0): 1.0,\n", - " ('HO', 'PV_Po', 0): 1.0},\n", - " {('HO', 'LiI_Br', 0): 1.0,\n", - " ('HO', 'LiI_Br_discharge', 0): 1.0,\n", - " ('HO', 'LiI_Ro', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 0): 1.0,\n", - " ('HO', 'PV_Cd', 0): 1.0,\n", - " ('HO', 'PV_Mo', 0): 1.0,\n", - " ('HO', 'PV_Po', 0): 0.0},\n", - " {('HO', 'LiI_Br', 0): 1.0,\n", - " ('HO', 'LiI_Br_discharge', 0): 1.0,\n", - " ('HO', 'LiI_Ro', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 0): 1.0,\n", - " ('HO', 'PV_Cd', 0): 1.0,\n", - " ('HO', 'PV_Mo', 0): 1.0,\n", - " ('HO', 'PV_Po', 0): 0.0},\n", - " {('HO', 'LiI_Br', 0): 1.0,\n", - " ('HO', 'LiI_Br_discharge', 0): 1.0,\n", - " ('HO', 'LiI_Ro', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 0): 1.0,\n", - " ('HO', 'PV_Cd', 0): 1.0,\n", - " ('HO', 'PV_Mo', 0): 1.0,\n", - " ('HO', 'PV_Po', 0): 0.0},\n", - " {('HO', 'LiI_Br', 0): 1.0,\n", - " ('HO', 'LiI_Br_discharge', 0): 1.0,\n", - " ('HO', 'LiI_Ro', 0): 0.0,\n", - " ('HO', 'LiI_Ro_discharge', 0): 1.0,\n", - " ('HO', 'PV_Cd', 0): 1.0,\n", - " ('HO', 'PV_Mo', 0): 1.0,\n", - " ('HO', 'PV_Po', 0): 0.0}]" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/a2z/lp.ipynb b/examples/a2z/lp.ipynb deleted file mode 100644 index 4ee89f5e..00000000 --- a/examples/a2z/lp.ipynb +++ /dev/null @@ -1,937 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# LP before solving parametric LP " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems mixed integer linear program (MILP) is reformulated as a mulitparametric linear program (mpLP)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "\n", - "$X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$X^S_{r,t}$ - network binary for inventory of resource r $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Problem" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " p \\in \\{LI_c, LI_d, WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " r \\in \\{charge, power, wind, solar\\} \n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\left[\\begin{matrix}1302\\\\0\\\\990\\\\567\\end{matrix}\\right]^T \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}Inv_{charge}\\\\C_{wind}\\\\C_{solar}\\\\P_{LI_c}\\\\P_{LI_d}\\end{matrix}\\right] \\leq \\left[\\begin{matrix} 100\\\\100\\\\100\\\\100\\\\100\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}-S_{power}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] \\leq \\left[\\begin{matrix}-300 & 0 & 0\\\\0 & 100 & 0\\\\0 & 0 & 100\\end{matrix}\\right] \\left[\\begin{matrix}\\beta_{power}\\\\ \\alpha_{WF}\\\\\\alpha_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_4\\left[\\begin{matrix} - Inv_{charge} \\\\ -S_{power} \\\\ C_{wind} \\\\ C_{solar} \\end{matrix}\\right] + \\left[\\begin{matrix}0.89 & -1 & 0 & 0\\\\-1 & 1 & 0.85 & 0.75\\\\0 & 0 & -1 & 0\\\\0 & 0 & 0 & -1\\end{matrix}\\right] \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] = 0\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in \\mathcal{A}_p \\hspace{1cm} \\forall p \\in \\{WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in \\mathcal{B}_r \\hspace{1cm} \\forall r \\in \\{Power\\} \n", - "\\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.components.result import Result\n", - "# import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "import sympy\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.utils.math_utils import min_max, normalize\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt " - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_26556\\2642984639.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_26556\\2642984639.py:16: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "\n", - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')\n", - "\n", - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)\n", - "\n", - "# Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region\n", - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value\n" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [], - "source": [ - "solar = normalize(solar_houston)\n", - "wind = normalize(wind_houston)\n", - "demand = normalize(ercot)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Define temporal scale}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 8760])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare resources}$" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying = [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "# H2O = Resource(name='H2O', cons_max=100, basis='tons', label='Water', varying= [VaryingResource.UNCERTAIN_AVAILABILITY], varying_bounds= (0.3, 0.95))\n", - "H2O = Resource(name='H2O', cons_max=5000, basis='tons', label='Water')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n", - "\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, vopex=1302, capex=0, fopex=0, prod_max=500,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=1000)\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=1000, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, vopex=990, capex=0, fopex=0,\n", - " prod_max=1000, label='Wind mill array', basis='MW', varying = [VaryingProcess.DETERMINISTIC_CAPACITY])\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, vopex=567, capex=0, fopex=0,\n", - " prod_max=1000, label='Solar PV', basis='MW', varying = [VaryingProcess.DETERMINISTIC_CAPACITY])\n", - "\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=500, label='Small modular reactors (SMRs)', block='power_gen')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare location(s)}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": {}, - "outputs": [], - "source": [ - "region = Location(name='region', processes={PV, WF, PEM, ASMR}, capacity_factor= {PV: solar[:8760], \n", - " WF: wind[:8760]}, demand_factor = {Power: demand[:8760]}, demand_scale_level = 1, capacity_scale_level = 1, scales=scales, label='some region')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent." - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [], - "source": [ - "example = Scenario(name='example', demand={region: {Power:100, H2:30}}, demand_scale_level= 1, scheduling_scale_level= 1, capacity_scale_level = 1, network=region, scales=scales, label='example scenario')\n", - "# example = Scenario(name='example', demand={region: {Power: 50}}, network=region, scales=scales, label='example scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": {}, - "outputs": [], - "source": [ - "# lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - "# Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective = Objective.MAX_DISCHARGE, objective_resource = H2)" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.DEMAND}, objective = Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [], - "source": [ - "# lp.constraint_inventory_balance.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 219062 rows, 192785 columns and 519335 nonzeros\n", - "Model fingerprint: 0x1263f7cb\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+01, 5e+03]\n", - "Presolve removed 206680 rows and 174045 columns\n", - "Presolve time: 0.18s\n", - "Presolved: 12382 rows, 18740 columns, 28331 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 1\n", - " AA' NZ : 9.592e+03\n", - " Factor NZ : 2.677e+04 (roughly 13 MB of memory)\n", - " Factor Ops : 6.514e+04 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 9.94093959e+09 -7.20068790e+11 1.71e+02 2.33e-10 1.15e+08 0s\n", - " 1 9.49600140e+09 -3.70943025e+11 5.49e+01 1.99e+04 2.47e+07 0s\n", - "\n", - "Barrier performed 1 iterations in 0.22 seconds (0.21 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 7714 1.5549074e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 7714 iterations and 0.35 seconds (0.30 work units)\n", - "Optimal objective 1.554907379e+09\n" - ] - } - ], - "source": [ - "results_lp = solve(name = 'results_lp', scenario = example, instance = lp, solver = 'gurobi')" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "resources\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_lp, y_axis= 'S', component= 'H2', location= 'region')" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "processes\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_lp, y_axis= 'P', component= 'ASMR', location= 'region')" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 214925.41704537132}" - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_lp.output['Vopex_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 1554692430.484266}" - ] - }, - "execution_count": 83, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_lp.output['Capex_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 5.201956112895512}" - ] - }, - "execution_count": 84, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_lp.output['Fopex_network']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.9999999884603172" - ] - }, - "execution_count": 85, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "(results_lp.output['Vopex_network'][0] + results_lp.output['Capex_network'][0] + results_lp.output['Fopex_network'][0])/results_lp.output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "processes\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_lp, y_axis= 'P', component= 'ASMR', location= 'region')" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('region', 'ASMR', 0): 178.14918194847644,\n", - " ('region', 'PEM', 0): 84.81764206955046,\n", - " ('region', 'PV', 0): 1000.0,\n", - " ('region', 'WF', 0): 1000.0}" - ] - }, - "execution_count": 87, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_lp.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "processes\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_lp, y_axis= 'Vopex_process', component= 'PV', location= 'region')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/a2z/parametric-uncertainty.ipynb b/examples/a2z/parametric-uncertainty.ipynb deleted file mode 100644 index 4e8cd1c5..00000000 --- a/examples/a2z/parametric-uncertainty.ipynb +++ /dev/null @@ -1,2496 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Bilevel LP before solving parametric LP " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems mixed integer linear program (MILP) is reformulated as a mulitparametric linear program (mpLP)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "\n", - "$X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$X^S_{r,t}$ - network binary for inventory of resource r $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Problem" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " p \\in \\{LI_c, LI_d, WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " r \\in \\{charge, power, wind, solar\\} \n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\left[\\begin{matrix}1302\\\\0\\\\990\\\\567\\end{matrix}\\right]^T \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}Inv_{charge}\\\\C_{wind}\\\\C_{solar}\\\\P_{LI_c}\\\\P_{LI_d}\\end{matrix}\\right] \\leq \\left[\\begin{matrix} 100\\\\100\\\\100\\\\100\\\\100\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}-S_{power}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] \\leq \\left[\\begin{matrix}-300 & 0 & 0\\\\0 & 100 & 0\\\\0 & 0 & 100\\end{matrix}\\right] \\left[\\begin{matrix}\\beta_{power}\\\\ \\alpha_{WF}\\\\\\alpha_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_4\\left[\\begin{matrix} - Inv_{charge} \\\\ -S_{power} \\\\ C_{wind} \\\\ C_{solar} \\end{matrix}\\right] + \\left[\\begin{matrix}0.89 & -1 & 0 & 0\\\\-1 & 1 & 0.85 & 0.75\\\\0 & 0 & -1 & 0\\\\0 & 0 & 0 & -1\\end{matrix}\\right] \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] = 0\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in \\mathcal{A}_p \\hspace{1cm} \\forall p \\in \\{WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in \\mathcal{B}_r \\hspace{1cm} \\forall r \\in \\{Power\\} \n", - "\\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n", - "\n" - ] - } - ], - "source": [ - "from energiapy.components.result import Result\n", - "# import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "import sympy\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.utils.math_utils import min_max, normalize\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt \n", - "\n", - "import pandas\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import keras_tuner\n", - "from pandas import read_csv\n", - "import math\n", - "import h5py\n", - "from keras.models import Sequential\n", - "from keras.models import Model\n", - "from sklearn.preprocessing import MinMaxScaler\n", - "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n", - "from keras.layers import Dense, Activation, Dropout, LSTM\n", - "from scipy.signal import savgol_filter\n", - "from keras import backend as K\n", - "from keras.optimizers import Adam\n", - "import tensorflow as tf\n", - "import scipy.stats as stats" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_10932\\1218713161.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_10932\\1218713161.py:16: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "\n", - "solar = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')\n", - "\n", - "wind = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)\n", - "\n", - "# Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region\n", - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value\n", - "ercot.columns = ['Value']\n", - "demand = ercot\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "solar = normalize(solar)\n", - "wind = normalize(wind)\n", - "demand = normalize(demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(solar, color = 'red')\n", - "plt.plot(wind, color = 'blue')\n", - "plt.plot(demand, color = 'green')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'dt' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[22], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m window_size \u001b[39m=\u001b[39m \u001b[39m50\u001b[39m\n\u001b[0;32m 2\u001b[0m polynomial_degree \u001b[39m=\u001b[39m \u001b[39m2\u001b[39m\n\u001b[1;32m----> 3\u001b[0m smoothed_data \u001b[39m=\u001b[39m savgol_filter(dt[\u001b[39m'\u001b[39m\u001b[39mValues\u001b[39m\u001b[39m'\u001b[39m], window_size, polynomial_degree)\n\u001b[0;32m 4\u001b[0m start \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39m2017-01-01\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m 5\u001b[0m end \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39m2023-03-31\u001b[39m\u001b[39m'\u001b[39m\n", - "\u001b[1;31mNameError\u001b[0m: name 'dt' is not defined" - ] - } - ], - "source": [ - "window_size = 50\n", - "polynomial_degree = 2\n", - "smoothed_data = savgol_filter(dt['Values'], window_size, polynomial_degree)\n", - "start = '2017-01-01'\n", - "end = '2023-03-31'\n", - "dates = pandas.date_range(start=start, end=end)\n", - "filtered_data = pandas.DataFrame(smoothed_data, index=dates, columns=['Values'])\n", - "filtered_data = np.log(filtered_data)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\keras\\src\\backend.py:873: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\keras\\src\\backend.py:873: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/200\n", - "WARNING:tensorflow:From c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\keras\\src\\utils\\tf_utils.py:492: The name tf.ragged.RaggedTensorValue is deprecated. Please use tf.compat.v1.ragged.RaggedTensorValue instead.\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:tensorflow:From c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\keras\\src\\utils\\tf_utils.py:492: The name tf.ragged.RaggedTensorValue is deprecated. Please use tf.compat.v1.ragged.RaggedTensorValue instead.\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "128/128 [==============================] - 3s 9ms/step - loss: 0.0261 - val_loss: 0.0124\n", - "Epoch 2/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0117 - val_loss: 0.0086\n", - "Epoch 3/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0087 - val_loss: 0.0065\n", - "Epoch 4/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0071 - val_loss: 0.0053\n", - "Epoch 5/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0063 - val_loss: 0.0048\n", - "Epoch 6/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0058 - val_loss: 0.0043\n", - "Epoch 7/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0056 - val_loss: 0.0043\n", - "Epoch 8/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0055 - val_loss: 0.0040\n", - "Epoch 9/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0053 - val_loss: 0.0041\n", - "Epoch 10/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0052 - val_loss: 0.0038\n", - "Epoch 11/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0050 - val_loss: 0.0037\n", - "Epoch 12/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0050 - val_loss: 0.0037\n", - "Epoch 13/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0050 - val_loss: 0.0037\n", - "Epoch 14/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0049 - val_loss: 0.0038\n", - "Epoch 15/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0048 - val_loss: 0.0035\n", - "Epoch 16/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0048 - val_loss: 0.0035\n", - "Epoch 17/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0047 - val_loss: 0.0035\n", - "Epoch 18/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0047 - val_loss: 0.0037\n", - "Epoch 19/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0046 - val_loss: 0.0034\n", - "Epoch 20/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0046 - val_loss: 0.0034\n", - "Epoch 21/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0047 - val_loss: 0.0034\n", - "Epoch 22/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0046 - val_loss: 0.0033\n", - "Epoch 23/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0045 - val_loss: 0.0039\n", - "Epoch 24/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0045 - val_loss: 0.0033\n", - "Epoch 25/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0045 - val_loss: 0.0034\n", - "Epoch 26/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0045 - val_loss: 0.0033\n", - "Epoch 27/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0045 - val_loss: 0.0033\n", - "Epoch 28/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0045 - val_loss: 0.0033\n", - "Epoch 29/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0045 - val_loss: 0.0033\n", - "Epoch 30/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0044 - val_loss: 0.0033\n", - "Epoch 31/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0044 - val_loss: 0.0035\n", - "Epoch 32/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0044 - val_loss: 0.0032\n", - "Epoch 33/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0044 - val_loss: 0.0032\n", - "Epoch 34/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0044 - val_loss: 0.0033\n", - "Epoch 35/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0033\n", - "Epoch 36/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0044 - val_loss: 0.0032\n", - "Epoch 37/200\n", - "128/128 [==============================] - 1s 6ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 38/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 39/200\n", - "128/128 [==============================] - 1s 6ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 40/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 41/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 42/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 43/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 44/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0044 - val_loss: 0.0032\n", - "Epoch 45/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 46/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0035\n", - "Epoch 47/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 48/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 49/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 50/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0033\n", - "Epoch 51/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 52/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 53/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0033\n", - "Epoch 54/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 55/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0032\n", - "Epoch 56/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0043 - val_loss: 0.0031\n", - "Epoch 57/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0031\n", - "Epoch 58/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0031\n", - "Epoch 59/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0031\n", - "Epoch 60/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 61/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0031\n", - "Epoch 62/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0042 - val_loss: 0.0033\n", - "Epoch 63/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0031\n", - "Epoch 64/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0033\n", - "Epoch 65/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0031\n", - "Epoch 66/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 67/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 68/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0042 - val_loss: 0.0033\n", - "Epoch 69/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0033\n", - "Epoch 70/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 71/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0033\n", - "Epoch 72/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 73/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 74/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0033\n", - "Epoch 75/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 76/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0032\n", - "Epoch 77/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0042 - val_loss: 0.0033\n", - "Epoch 78/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 79/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 80/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 81/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 82/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 83/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 84/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0032\n", - "Epoch 85/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 86/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0031\n", - "Epoch 87/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0033\n", - "Epoch 88/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0042 - val_loss: 0.0030\n", - "Epoch 89/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 90/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0032\n", - "Epoch 91/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 92/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0041 - val_loss: 0.0032\n", - "Epoch 93/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 94/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 95/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 96/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 97/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 98/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 99/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 100/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 101/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 102/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 103/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 104/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 105/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0041 - val_loss: 0.0032\n", - "Epoch 106/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 107/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 108/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 109/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 110/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 111/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 112/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 113/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 114/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 115/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 116/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 117/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 118/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0032\n", - "Epoch 119/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 120/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 121/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 122/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 123/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 124/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 125/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 126/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 127/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 128/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 129/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 130/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 131/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 132/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 133/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 134/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 135/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 136/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 137/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 138/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0032\n", - "Epoch 139/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 140/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 141/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 142/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 143/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0032\n", - "Epoch 144/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 145/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0040 - val_loss: 0.0032\n", - "Epoch 146/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0030\n", - "Epoch 147/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0032\n", - "Epoch 148/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 149/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0031\n", - "Epoch 150/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 151/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0033\n", - "Epoch 152/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 153/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 154/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 155/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 156/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 157/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 158/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0032\n", - "Epoch 159/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 160/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0041 - val_loss: 0.0034\n", - "Epoch 161/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 162/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 163/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 164/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 165/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 166/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 167/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 168/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0032\n", - "Epoch 169/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 170/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0039 - val_loss: 0.0030\n", - "Epoch 171/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0039 - val_loss: 0.0030\n", - "Epoch 172/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 173/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 174/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 175/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 176/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 177/200\n", - "128/128 [==============================] - 1s 4ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 178/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 179/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 180/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 181/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 182/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 183/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 184/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 185/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0039 - val_loss: 0.0030\n", - "Epoch 186/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 187/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 188/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 189/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0039 - val_loss: 0.0030\n", - "Epoch 190/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 191/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 192/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 193/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0039 - val_loss: 0.0030\n", - "Epoch 194/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 195/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 196/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0039 - val_loss: 0.0031\n", - "Epoch 197/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 198/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n", - "Epoch 199/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0030\n", - "Epoch 200/200\n", - "128/128 [==============================] - 1s 5ms/step - loss: 0.0040 - val_loss: 0.0031\n" - ] - } - ], - "source": [ - " # convert an array of values into a dataset matrix\n", - "def create_dataset(dataset, look_back=1):\n", - "\tdataX, dataY = [], []\n", - "\tfor i in range(len(dataset)-look_back-1):\n", - "\t\ta = dataset[i:(i+look_back), 0]\n", - "\t\tdataX.append(a)\n", - "\t\tdataY.append(dataset[i + look_back, 0])\n", - "\treturn np.array(dataX), np.array(dataY)\n", - "\n", - "all_y = solar.values\n", - "dataset=all_y.reshape(-1, 1)\n", - "\n", - "# normalize the dataset\n", - "scaler = MinMaxScaler(feature_range=(0, 1))\n", - "dataset = scaler.fit_transform(dataset)\n", - "\n", - "# split into train and test sets, 30% test data, 70% training data\n", - "train_size = int(len(dataset) * 0.7)\n", - "test_size = len(dataset) - train_size\n", - "train, test = dataset[0:train_size,:], dataset[train_size:len(dataset),:]\n", - "\n", - "# reshape into X=t and Y=t+1, timestep 240\n", - "look_back = 150\n", - "trainX, trainY = create_dataset(train, look_back)\n", - "testX, testY = create_dataset(test, look_back)\n", - "\n", - "# reshape input to be [samples, time steps, features]\n", - "trainX = np.reshape(trainX, (trainX.shape[0], 1, trainX.shape[1]))\n", - "testX = np.reshape(testX, (testX.shape[0], 1, testX.shape[1]))\n", - "\n", - "# model = tf.keras.Sequential([\n", - "# tf.keras.layers.LSTM(5,return_sequences=True,activation='relu'), \n", - "# tf.keras.layers.Dropout(0.10),\n", - "# tf.keras.layers.LSTM(50,return_sequences=True,activation='relu'),\n", - "# tf.keras.layers.Dropout(0.10),\n", - "# tf.keras.layers.LSTM(20),\n", - "# ])\n", - "\n", - "learning_rate = 0.0005\n", - "model = Sequential()\n", - "model.add(LSTM(64, input_shape=(1, look_back)))\n", - "model.add(Dropout(0.3))\n", - "#model.add(LSTM(50, return_sequences=True, activation='relu'))\n", - "model.add(Dense(1))\n", - "optimizer = Adam(learning_rate=learning_rate)\n", - "model.compile(loss='mse', optimizer=optimizer)\n", - "\n", - "# Train the model\n", - "history = model.fit(trainX, trainY, epochs=200, batch_size=240, verbose=1, validation_data=(testX, testY))\n", - "# model.save('C:\\\\Users\\\\Dell\\\\Desktop\\\\lstm_ci.h5')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Extract loss values from history\n", - "train_loss = history.history['loss']\n", - "val_loss = history.history['val_loss']\n", - "\n", - "# Plot training loss and validation loss\n", - "plt.plot(train_loss, label='Train Loss')\n", - "plt.plot(val_loss, label='Validation Loss')\n", - "plt.xlabel('Epochs')\n", - "plt.ylabel('Loss')\n", - "plt.title('Training and Validation Loss')\n", - "plt.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "def run_monte_carlo_dropout(model, X, n_samples=30):\n", - " \"\"\"\n", - " Run Monte Carlo Dropout for making predictions.\n", - "\n", - " Parameters:\n", - " model (keras.Model): The trained LSTM model.\n", - " X (numpy.array): Input data for predictions.\n", - " n_samples (int): Number of samples to draw.\n", - "\n", - " Returns:\n", - " numpy.array: Mean predictions.\n", - " numpy.array: Standard deviation of predictions.\n", - " \"\"\"\n", - " predictions = np.zeros((n_samples, X.shape[0], X.shape[1]))\n", - "\n", - " for i in range(n_samples):\n", - " predictions[i] = model.predict(X)\n", - "\n", - " mean_predictions = np.mean(predictions, axis=0)\n", - " std_predictions = np.std(predictions, axis=0)\n", - "\n", - " return mean_predictions, std_predictions" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 1ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n" - ] - } - ], - "source": [ - "n_samples = 30 # Number of MC Dropout samples\n", - "mean_predictions, std_predictions= run_monte_carlo_dropout(model, testX, n_samples)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "mean_predictions = scaler.inverse_transform(mean_predictions.reshape(-1, 1)).flatten()\n", - "mean_predictions = np.exp(mean_predictions)\n", - "std_predictions = scaler.inverse_transform(std_predictions.reshape(-1, 1)).flatten()\n", - "std_predictions = np.exp(std_predictions) " - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "954/954 [==============================] - 1s 2ms/step\n", - "406/406 [==============================] - 1s 2ms/step\n" - ] - } - ], - "source": [ - "# make predictions\n", - "trainPredict = model.predict(trainX)\n", - "testPredict = model.predict(testX)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "Found array with dim 3. None expected <= 2.", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[19], line 4\u001b[0m\n\u001b[0;32m 2\u001b[0m trainPredict \u001b[39m=\u001b[39m scaler\u001b[39m.\u001b[39minverse_transform(trainPredict)\n\u001b[0;32m 3\u001b[0m trainPredict \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mexp(trainPredict)\n\u001b[1;32m----> 4\u001b[0m trainY \u001b[39m=\u001b[39m scaler\u001b[39m.\u001b[39;49minverse_transform([trainY])\n\u001b[0;32m 5\u001b[0m trainY \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mexp(trainY)\n\u001b[0;32m 6\u001b[0m testPredict \u001b[39m=\u001b[39m scaler\u001b[39m.\u001b[39minverse_transform(testPredict)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\sklearn\\preprocessing\\_data.py:543\u001b[0m, in \u001b[0;36mMinMaxScaler.inverse_transform\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m 529\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Undo the scaling of X according to feature_range.\u001b[39;00m\n\u001b[0;32m 530\u001b[0m \n\u001b[0;32m 531\u001b[0m \u001b[39mParameters\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 539\u001b[0m \u001b[39m Transformed data.\u001b[39;00m\n\u001b[0;32m 540\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 541\u001b[0m check_is_fitted(\u001b[39mself\u001b[39m)\n\u001b[1;32m--> 543\u001b[0m X \u001b[39m=\u001b[39m check_array(\n\u001b[0;32m 544\u001b[0m X, copy\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcopy, dtype\u001b[39m=\u001b[39;49mFLOAT_DTYPES, force_all_finite\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mallow-nan\u001b[39;49m\u001b[39m\"\u001b[39;49m\n\u001b[0;32m 545\u001b[0m )\n\u001b[0;32m 547\u001b[0m X \u001b[39m-\u001b[39m\u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmin_\n\u001b[0;32m 548\u001b[0m X \u001b[39m/\u001b[39m\u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mscale_\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\sklearn\\utils\\validation.py:953\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)\u001b[0m\n\u001b[0;32m 948\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 949\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mdtype=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mnumeric\u001b[39m\u001b[39m'\u001b[39m\u001b[39m is not compatible with arrays of bytes/strings.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 950\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mConvert your data to numeric values explicitly instead.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 951\u001b[0m )\n\u001b[0;32m 952\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m allow_nd \u001b[39mand\u001b[39;00m array\u001b[39m.\u001b[39mndim \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m \u001b[39m3\u001b[39m:\n\u001b[1;32m--> 953\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 954\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mFound array with dim \u001b[39m\u001b[39m%d\u001b[39;00m\u001b[39m. \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m expected <= 2.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 955\u001b[0m \u001b[39m%\u001b[39m (array\u001b[39m.\u001b[39mndim, estimator_name)\n\u001b[0;32m 956\u001b[0m )\n\u001b[0;32m 958\u001b[0m \u001b[39mif\u001b[39;00m force_all_finite:\n\u001b[0;32m 959\u001b[0m _assert_all_finite(\n\u001b[0;32m 960\u001b[0m array,\n\u001b[0;32m 961\u001b[0m input_name\u001b[39m=\u001b[39minput_name,\n\u001b[0;32m 962\u001b[0m estimator_name\u001b[39m=\u001b[39mestimator_name,\n\u001b[0;32m 963\u001b[0m allow_nan\u001b[39m=\u001b[39mforce_all_finite \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mallow-nan\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[0;32m 964\u001b[0m )\n", - "\u001b[1;31mValueError\u001b[0m: Found array with dim 3. None expected <= 2." - ] - } - ], - "source": [ - "\n", - "# invert predictions\n", - "trainPredict = scaler.inverse_transform(trainPredict)\n", - "trainPredict = np.exp(trainPredict)\n", - "trainY = scaler.inverse_transform([trainY])\n", - "trainY = np.exp(trainY)\n", - "testPredict = scaler.inverse_transform(testPredict)\n", - "testPredict = np.exp(testPredict)\n", - "testY = scaler.inverse_transform([testY])\n", - "testY = np.exp(testY)\n", - "\n", - "# calculate root mean squared error\n", - "trainScore = math.sqrt(mean_squared_error(trainY[0], trainPredict[:,0]))\n", - "print('Train Score: %.2f RMSE' % (trainScore))\n", - "testScore = math.sqrt(mean_squared_error(testY[0], testPredict[:,0]))\n", - "print('Test Score: %.2f RMSE' % (testScore))\n", - "# Plot original data, mean predictions, and confidence intervals\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'mean_predictions' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[9], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m plt\u001b[39m.\u001b[39mplot(testY\u001b[39m.\u001b[39mflatten(), label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mTrue Values\u001b[39m\u001b[39m'\u001b[39m, color\u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mblue\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m----> 2\u001b[0m plt\u001b[39m.\u001b[39mplot(mean_predictions\u001b[39m.\u001b[39mflatten(), label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mMean Predictions\u001b[39m\u001b[39m'\u001b[39m, color \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mred\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 3\u001b[0m plt\u001b[39m.\u001b[39mfill_between(\n\u001b[0;32m 4\u001b[0m \u001b[39mrange\u001b[39m(\u001b[39mlen\u001b[39m(mean_predictions\u001b[39m.\u001b[39mflatten())),\n\u001b[0;32m 5\u001b[0m mean_predictions\u001b[39m.\u001b[39mflatten() \u001b[39m-\u001b[39m \u001b[39m1.44\u001b[39m \u001b[39m*\u001b[39m std_predictions\u001b[39m.\u001b[39mflatten(),\n\u001b[0;32m 6\u001b[0m mean_predictions\u001b[39m.\u001b[39mflatten() \u001b[39m+\u001b[39m \u001b[39m1.44\u001b[39m \u001b[39m*\u001b[39m std_predictions\u001b[39m.\u001b[39mflatten(),\n\u001b[0;32m 7\u001b[0m color\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mblue\u001b[39m\u001b[39m'\u001b[39m, alpha\u001b[39m=\u001b[39m\u001b[39m0.3\u001b[39m, label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m85\u001b[39m\u001b[39m%\u001b[39m\u001b[39m Confidence Intervals\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m 8\u001b[0m )\n\u001b[0;32m 9\u001b[0m plt\u001b[39m.\u001b[39mfill_between(\n\u001b[0;32m 10\u001b[0m \u001b[39mrange\u001b[39m(\u001b[39mlen\u001b[39m(mean_predictions\u001b[39m.\u001b[39mflatten())),\n\u001b[0;32m 11\u001b[0m mean_predictions\u001b[39m.\u001b[39mflatten() \u001b[39m-\u001b[39m \u001b[39m1.96\u001b[39m \u001b[39m*\u001b[39m std_predictions\u001b[39m.\u001b[39mflatten(),\n\u001b[0;32m 12\u001b[0m mean_predictions\u001b[39m.\u001b[39mflatten() \u001b[39m+\u001b[39m \u001b[39m1.96\u001b[39m \u001b[39m*\u001b[39m std_predictions\u001b[39m.\u001b[39mflatten(),\n\u001b[0;32m 13\u001b[0m color\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mred\u001b[39m\u001b[39m'\u001b[39m, alpha\u001b[39m=\u001b[39m\u001b[39m0.3\u001b[39m, label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39m95\u001b[39m\u001b[39m%\u001b[39m\u001b[39m Confidence Intervals\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m 14\u001b[0m )\n", - "\u001b[1;31mNameError\u001b[0m: name 'mean_predictions' is not defined" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "\n", - "plt.plot(testY.flatten(), label='True Values', color= 'blue')\n", - "plt.plot(mean_predictions.flatten(), label='Mean Predictions', color = 'red')\n", - "plt.fill_between(\n", - " range(len(mean_predictions.flatten())),\n", - " mean_predictions.flatten() - 1.44 * std_predictions.flatten(),\n", - " mean_predictions.flatten() + 1.44 * std_predictions.flatten(),\n", - " color='blue', alpha=0.3, label='85% Confidence Intervals'\n", - ")\n", - "plt.fill_between(\n", - " range(len(mean_predictions.flatten())),\n", - " mean_predictions.flatten() - 1.96 * std_predictions.flatten(),\n", - " mean_predictions.flatten() + 1.96 * std_predictions.flatten(),\n", - " color='red', alpha=0.3, label='95% Confidence Intervals'\n", - ")\n", - "plt.legend()\n", - "plt.show()\n", - "last_sequence = dataset[-look_back:]\n", - "num_predictions = 30\n", - "\n", - "predicted_values = []\n", - "\n", - "\n", - "\n", - "for _ in range(num_predictions):\n", - " last_sequence_reshaped = np.reshape(last_sequence, (1, 1, look_back))\n", - " predicted_value = model.predict(last_sequence_reshaped)\n", - " predicted_values.append(predicted_value[0, 0])\n", - " last_sequence = np.append(last_sequence[1:], predicted_value[0])\n", - "\n", - "# Invert the predictions back to the original scale\n", - "predicted_values = scaler.inverse_transform([predicted_values])\n", - "predicted_values = np.exp(predicted_values)\n", - "print(predicted_values)\n", - "# Generate a date range for the future predictions\n", - "start_date = pandas.to_datetime(dt.index[-1]) + pandas.DateOffset(days=1) # Assuming the last date in dt is the latest date\n", - "end_date = start_date + pandas.DateOffset(days=num_predictions-1)\n", - "future_dates = pandas.date_range(start=start_date, end=end_date)\n", - "predicted_values = np.reshape(predicted_values, (num_predictions,))\n", - "predicted_df = pandas.DataFrame(predicted_values, index=future_dates, columns=['Predicted'])\n", - "predicted_df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "metadata": {}, - "outputs": [], - "source": [ - "def problem(demand_, solar_, wind_, range_):\n", - " scales = TemporalScale(discretization_list=[1])\n", - " \n", - " Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - " Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - " Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = ((1 - range_)*demand_,(1 + range_)*demand_))#(min(demand['COAST']), 1))\n", - " \n", - " H2O = Resource(name='H2O', cons_max=500, basis='tons', label='Water')\n", - "\n", - " O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - " H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n", - "\n", - " Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - " \n", - " LiI = Process(name='LiI', storage=Power, vopex=1302, capex=0, fopex=0, prod_max=100,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - " WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, vopex=990, capex=0, fopex=0,\n", - " prod_max=100, label='Wind mill array', basis='MW', varying = [VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds = ((1 - range_)*wind_, (1 + range_)*wind_))\n", - "\n", - " PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, vopex=567, capex=0, fopex=0,\n", - " prod_max=100, label='Solar PV', basis='MW', varying = [VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds = ((1 - range_)*solar_, (1 + range_)*solar_))\n", - "\n", - " PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - " \n", - " ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=100, label='Small modular reactors (SMRs)', block='power_gen')\n", - " \n", - " region = Location(name='region', processes={\n", - " LiI, WF, PEM, PV, ASMR}, scales=scales, label='some region wo dispatchable')\n", - " scenario = Scenario(name='example', demand={region: {Power:50, H2: 20}}, network=region, scales=scales, label='example scenario')\n", - " matrix = formulate(scenario=scenario, model_class=ModelClass.MPLP)\n", - " # print(matrix)\n", - " # return matrix\n", - " return matrix, solve(matrix = matrix, interface = 'native', name = 'results', solver = 'ppopt') \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(0.9, 1.1)\n", - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 4\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 4\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 4\n", - "Uncertain process production (P) x 2\n", - " For a total of 13 (10 fixed, and 3 uncertain)\n", - "[]\n", - "(0.8688916448875749, 1.0619786770848139)\n", - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 4\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 4\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 4\n", - "Uncertain process production (P) x 2\n", - " For a total of 13 (10 fixed, and 3 uncertain)\n", - "[]\n", - "(0.8385385712560042, 1.0248804759795607)\n", - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 4\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 4\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 4\n", - "Uncertain process production (P) x 2\n", - " For a total of 13 (10 fixed, and 3 uncertain)\n", - "[]\n", - "(0.8688916448875749, 1.0619786770848139)\n", - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 4\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 4\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 4\n", - "Uncertain process production (P) x 2\n", - " For a total of 13 (10 fixed, and 3 uncertain)\n", - "[]\n" - ] - } - ], - "source": [ - "solution = [problem(demand_, solar_, wind_, 0.1) for demand_, solar_, wind_ in zip(demand, solar, wind)]" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1\n", - "1\n", - "1\n", - "1\n" - ] - } - ], - "source": [ - "from ppopt.plot import parametric_plot\n", - "for s in solution:\n", - " # parametric_plot(s)\n", - " print(len(s[1].critical_regions))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 162, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution[0][1].evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates.append((i, j, k, l[0][0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 164, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_24568\\1678484183.py:22: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", - " scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "from matplotlib import rc\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "data = coordinates\n", - "fig = plt.figure(figsize= (10,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "norm = plt.Normalize(5000, 150000)\n", - "colors = cm.viridis(norm(color_vals))\n", - "# colors = cm.viridis(norm)\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax)#, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 2)\n", - "ax.set_ylim(0, 2)\n", - "ax.set_zlim(0, 2)\n", - "\n", - "ax.set_xlabel('Power Demand', labelpad= 10)\n", - "ax.set_ylabel('Solar PV capacity', labelpad= 10)\n", - "ax.set_zlabel('Wind Farm capacity', labelpad= 10)\n", - "ax.view_init(elev=30, azim=110)\n", - "plt.tight_layout()\n", - "plt.rcdefaults()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 161, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 1.1 ],\n", - " [ 0.58742608],\n", - " [ 1.1 ],\n", - " [-0.9 ],\n", - " [ 0.48062134],\n", - " [ 0.9 ]])" - ] - }, - "execution_count": 161, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution[0][0]['CRb']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates_wo_disp = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution_wo_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates_wo_disp.append((i, j, k, l[0][0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates_w_disp = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution_w_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates_w_disp.append((i, j, k, l[0][0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates_wo_stor = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution_wo_stor.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates_wo_stor.append((i, j, k, l[0][0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\2862229716.py:22: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", - " scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "from matplotlib import rc\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "data = coordinates_wo_disp\n", - "fig = plt.figure(figsize= (10,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "norm = plt.Normalize(5000, 150000)\n", - "colors = cm.viridis(norm(color_vals))\n", - "# colors = cm.viridis(norm)\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax)#, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand', labelpad= 10)\n", - "ax.set_ylabel('Solar PV capacity', labelpad= 10)\n", - "ax.set_zlabel('Wind Farm capacity', labelpad= 10)\n", - "ax.view_init(elev=30, azim=110)\n", - "plt.tight_layout()\n", - "plt.rcdefaults()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\736772587.py:24: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", - " scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAugAAAI7CAYAAAC+8G4RAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9d5hc6Vnn/7/PqTqVc3V1zt3qVo6jMNkzY090ABsvNhjv18DOfjG2L8CYn4EBY8PuzzZ4F7C9RBuzBpzAOE/Omqg8Sq1udY7VlXM853z/qK5Sd6sltTSSRjN6Xtc1l+zqqlNVHao+56n7uW9J13UdQRAEQRAEQRCuCfIb/QAEQRAEQRAEQThDBHRBEARBEARBuIaIgC4IgiAIgiAI1xAR0AVBEARBEAThGiICuiAIgiAIgiBcQ0RAFwRBEARBEIRriAjogiAIgiAIgnANEQFdEARBEARBEK4hIqALgiAIgiAI14wXX3yR/v5+JElibGzsjX44bwgR0AVBEARBEIQ3XC6X45Of/CS33XYbg4ODl+WYp06d4kMf+hBNTU1YLBZ6enr41Kc+RSKRuCzHv1JEQBcEQRAEQRDeUMPDw2zdupX/+I//4OGHH74sx3zmmWfYtm0b+/fv5xvf+AYnT57koYce4m//9m/Zvn07s7Ozl+V+rgTjG/0ABEEQBEEQhOvb8ePHueuuu/jiF7+Iw+F43ceLx+O8//3vR9d1fvazn9Hd3Q1AV1cXZrOZX/7lX+bDH/4wjz/++Ou+rytB0nVdf6MfhCAIgiAIgnD9UlUVg8FQ+/+SJAEwOjpKZ2fnRR/vT//0T/njP/5jfvEXf5Fvf/vbS76maRptbW3MzMywd+9ebr755tf12K8EUeIiCIIgCIIgvKEWh/PL4Xvf+x4Ad91111lfk2WZO++8E4DvfOc7l/V+LxcR0AVBEARBEIS3jEwmw/HjxwFYu3btitepXr5v376r9rguhqhBFwRBEARBuA7k83mKxeJVuS9d12tlKlVmsxmz2XzF73t0dBRN0wBobGxc8TpNTU1AZXPqtUgEdEEQBEEQhLe4fD5PV4eDuXn1qtyfw+EgnU4vuewzn/kMf/Inf3LF7zuZTNb+t9VqXfE6NpsN4JpttygCuiAIgiAIwltcsVhkbl5l/EAnLueVrXBOpjQ6dowxOTmJy+WqXX41Vs/fKkRAFwRBEARBuE44nBIOp3ThK74OGpXju1yuJQH9all8n7lcbsXrZLNZANxu91V5TBdLbBIVBEEQBEEQ3jK6urpq9e9zc3MrXqc6pKinp+eqPa6LIQK6IAiCIAjCdULVtavy3xvJbrezYcMGAAYGBla8TvXynTt3XrXHdTFEQBcEQRAEQRDeUt7//vcD8OSTT571NU3TeOqpp5Zc71ojArogCIIgCMJ1QkO/Kv9dDY888gi9vb187GMfO+trH//4x/H7/fzwhz9kdHR0yde+/e1vMzMzw5133smtt956VR7rxRIBXRAEQRAEQXjDhUIh5ubmltSNr3RZ1Ve+8hWGh4f56le/SiQSWfI1r9fLd7/7XQDuu+8+HnvsMUZHR/mnf/on/vt//+90dnbyzW9+88o+oddBdHERBEEQBEG4TmhoXOkK8Uu9h507dzI+Pr7ksl27dtX+t64vXZn/0Ic+xPPPP88999yD3+8/63h33nknhw4d4nOf+xwf/vCHicVitLS08OCDD/JHf/RHeDyeS3qcV4OkL3+2giAIgiAIwltKMpnE7XYzc6r1qvRBb+6fIpFIvCFtFt8KxAq6IAiCIAjCdULVddQrvDZ7pY9/PRA16IIgCIIgCIJwDREr6IIgCIIgCNeJq9Fl5Wp1cXkrEyvogiAIgiAIgnANEQFdEARBEARBEK4hosRFEARBEAThOqGho4oSl2ueWEEXBEEQBEEQhGuIWEEXBEEQBEG4TohNom8OYgVdEARBEARBEK4hYgVdEARBEAThOiEGFb05iBV0QRAEQRAEQbiGiBV0QRAEQRCE64S28N+Vvg/h9REr6IIgCIIgCIJwDREr6IIgCIIgCNcJ9Sr0Qb/Sx78eiBV0QRAEQRAEQbiGiBV0QRAEQRCE64SqV/670vchvD5iBV0QBEEQBEEQriFiBV0QBEEQBOE6Ibq4vDmIFXRBEARBEARBuIaIFXRBEARBEITrhIaEinTF70N4fcQKuiAIgiAIgiBcQ8QKuiAIgiAIwnVC0yv/Xen7EF4fsYIuCIIgCIIgCNcQsYIuCIIgCIJwnVCvQg36lT7+9UCsoAuCIAiCIAjCNUSsoAuCIAiCIFwnxAr6m4NYQRcEQRAEQRCEa4hYQRcEQRAEQbhOaLqEpl/hPuhX+PjXA7GCLgiCIAiCIAjXELGCLgiCIAiCcJ0QNehvDmIFXRAEQRAEQRCuISKgC4IgCIIgCMI1RJS4CIIgCIIgXCdUZNQrvD6rXtGjXx/ECrogCIIgCIIgXEPECrogCIIgCMJ1Qr8KbRZ10WbxdRMr6IIgCIIgCIJwDREr6MJbmqZplMtlZFlGlmUkSUKSxJm9IAiCcH0SbRbfHERAF96ydF0nm81SKBSWhHODwYDBYKiF9sXhXRAEQRAE4Y0mArrwlqTrOsViEU3TaqFc13V0XadUKhEOh5mcnGTjxo1Lgrssy2eFdxHcBUEQhLcKVZdR9SvcxUW/ooe/LoiALrzl6LpOOp0GqIXr5aUtkiSRy+XOCu66ri+5zoVW3EV4FwRBEAThchMBXXhLqQbtffv20dvbi8/nW/F6kiSh6/o5Q3Y1tOu6TrlcplQqnRXwq6vtK624i+AuCIIgXIs0JLQr3CNEQyyhv14ioAtvGdUwraoqsiyj6zqzs7OMjIxgtVqx2+3YbDbsdjuqqqJp2jmPdb7gXv1X0zRUVa1dVr2NqHMXBEEQBOH1EAFdeMsol8uUy2WgEpbj8TgTExP09vYiSRLZbJZwOMz4+DiFQgGAAwcO1EJ7NcBbLJZzBunFJTOLLQ7u1VX8Uqm05Haizl0QBEF4o4kuLm8OIqALbwmqqtbCuSzLaJrGxMQEGzZswOPxoCjKkuvH43GOHDlCc3Mz2WyWeDzOzMwMuVwOSZLOCu12ux2r1Yosr/yx4MUE9wvVuRsMhtplIrgLgiAIwvVHBHThTU9VVYrFIlAJ5+l0mlQqRWNjIw0NDeTz+Vq9eZXRWPnVb2pqWnIsTdPIZrNks1kymQzpdJr5+Xmy2Sy6rp9VKlP93waDYcXHdq7gDqLOXRAEQbj6rk4XF1GD/nqJgC68qWmaVislkSSJfD7P/v37sVgseL3ec96uukl0OVmWcTgcOByOJZfruk4+nyeTyZDJZMhms8RiMbLZLOVyGYvFsmJwX75yv/wxXCi4q6p6wTr3xeFdBHdBEARBePMTAV1409I0rdbrXJZlyuUyBw4cwOfznVVKsty5Avr5rm+1WrFardTV1dUur/Zbr4b2TCbD3Nwc2WyWYrGIyWRasVzGZDKdt879QhtUq+Uy1U8Olgd3UecuCIIgrKTSxeXKvh9c6eNfD0RAF96UFg8iqnZsOXToEGazmY0bN3LkyJHakKKVVAP68tKXiyVJEmazGbPZfFZLx1KpVAvtmUyGSCTCxMQE+Xweo9FYC+uLA/zl2qC6+OSjegJRX19/znIZQRAEQRCuHSKgC2861XCu63pt0+Zrr72Gqqps3769FjwXl4UsV73d6w3o56MoCm63G7fbveRyVVWXBPdkMsns7OxZG1QX/2uz2S56gypUnl8ikWBkZKT2ycLy24hBTIIgCNcPDRlV9EG/5omALrypVFeIq73OAU6ePEkymWTPnj21zZ8XKmGpBs+LKXO5XAwGA06nE6fTueRyTdPI5XJLymXC4TCZTKa2QXWlVfdzbVCFMxtN4czGWFh5g+ri24gNqoIgCILwxhEBXXjTqIbzcrlcC4ojIyMEg0F2796NyWSqXbfaavFc3siAfi6yLNdC92LVDaqLV93j8TiZTIZyuYzZbD6rxt1ut1/yBtXqv2IQkyAIwluP6OLy5iACuvCmsHxKqCRJTE9PMzIywq5du7DZbEuufy2voF+sxRtU/X5/7fLqCcvizjLz8/NkMhmKxSKKomC32zEajZRKJaLRKDabDbPZLAYxCYIgCMI1TAR04ZpXDeflcrkWBEOhECdOnGD79u24XK6zbiNJ0ptuBf1iSZKEyWTCZDKd1VKyXC7Xgns0GkVVVU6dOkUul8NgMJxV414dxHSxwR2WlsusZhCTKJcRBEF442jIaKIG/ZonArpwzVs8JVSSJOLxOIcPH2bjxo1LVpQXq66gLw7ii4Pg4k2ib0VGo7G2QdVqtZJMJrnxxhtrG1Sr5TLJZLLWFrK6Ur+8XOZ8G1Rhdf3cxSAmQRAEQVg9EdCFa5qqqrVSClmWyWQyHDhwgDVr1pw1BXQxWZZRVfWCxz/fKvtbxeKge74NqssHMYXDYbLZLKqqnnOC6uKNpyvdr6hzFwRBuLaouoSqX9nX0St9/OuBCOjCNWv5lNBCocD+/ftpbW2ls7PzvLddTYnLxQ4rejO70POUZbnWzjEQCCy5XaFQWNJZZmZmhmw2S6lUwmw2n3MQ07mIOndBEARBOD8R0IVr0vIpoaqqsn//frxeL319fRe8/eI+6OdyvQT01zuIyWKxYLFYzionWj5BdX5+nmw2S6FQQFGUFYP75dqgeqE698XhXQR3QRAE4c1GBHThmrM8nC+fErqawLWa8H29BHS4MrX259ugurglZCwWY2pqqrZBdaVBTFar9ZIHMS2vc5+bm6NcLtPW1ibq3AVBEJZRr8KgIlVsEn3dREAXrimLV0gXTwktlUrs2rXrvJsVF7tQH3S4fgL61Q6hRqMRl8t1VncdTdNqwT2bzZJOp2ur7rqu10psFq+622y2Cw5iWv78SqUShUKhdnKnquoF69yXr7iL4C4IgiC8kURAF64ZK00JHRgYIJlMsnv37vNuSFxueReXlaymDEa4fGRZxuFw4HA4llyu6zq5XG7Jqns0GiWTyaCqKhaLZcVBTBfaoLrSydxK5TLFYrF2G1HnLgjCW52my2hXeFCRJt5bXzcR0IVrwkpTQkdHR5mdnWXPnj2YzeaLOt6FNolWr3O9BPRr+XlKklRbLa+rq6tdrut6rc69uuo+NzdHJpOhVCphMplWDO6r6X9/KXXu1ZB+rnIZQRAEQbhcREAX3nDLV86rU0JPnz694pTQ1VjtJtHrrc3im4kkSZjNZsxmMz6fb8nXlk9QDYfDTExMkM/nkWUZo9HIyZMnlwR4i8XyugcxVevcl99GDGISBOHNQtSgvzmIgC68oaqhR1XVs6aEbtu2DbfbfUnHXb46vlJYP9cKejidJZkv4LKYqXNc/MnBtehaXkG/FIqi4PF48Hg8Sy4vl8sMDg5SKBQwmUzE43FmZmbI5XK1lfrlq+7n26AKFz+IqVpaJTaoCoIgCJdKBHThDbV8SmgikeDw4cNs2LBhSbnDxbqUTaJlVePF4UlOzIXIFovYTCbWNwa4qbcN4yo3p16LrqcgaDQaMZlMGAwGenp6apdrmkYul6utui9uC6nr+jkHMV3sBlUQg5gEQbi2aVz5QUJv/c+mrzwR0IU3zLmmhPb29tLc3Py6jr2a+vLlZTCD8xEOTM7it1lpcNpJ5gscnJwl4LSxrilwniMJ15rlIVeW5VrwXkzX9doE1eom1VgsRjabpVwu1zaoLg/uiqJc8L7FICZBEAThUomALrwhFofzxVNCm5ub6erqet3Hr9aXn6+UYHmIHw3HMMoSLmtlQ6rbaiGZLzASjq0qoGuazulghJH5GKqm0RXw0tdUh9Hwxq++v9VKXC4XSZKwWq1YrdYlly/eoFoN7nNzc2SzWYrFIiaT6ZwTVF9vnftqBjGJchlBEC6Vhox2hWvQr/TxrwcioAtXnaZpDA0NYTQaaW1tRVVVDhw4gMfjob+//7Lcx6VMEpUlieU30fXK5auxf2Sal4emgEoN8tBslFAyy+3rOy/y0V9e11t4uxwnIxfaoLq4JWQkEqltUDUajWcNYrLb7efdoFq9v4upc198u2r9vKIoop+7IAjCW4QI6MJVVZ0SmslkUBSlNiVUURQ2bdp02QLFaieJLq5T7w54GZyPEM3kcFnMJPMFdHS6A97zHKUimSvw2kQQh0XBt7CxNJkrcHI6xIa2euqcq9tsmi2USKTzWM1GPA7rhW+wStfbCvqVDKaKouB2u8/awKyq6pJBTMlksrbqvriV5PJBTJe6QbX6r6Zp7N27ly1btmC320WduyAI56XqMuoV7oN+pY9/PRABXbhqqh/fa5qGwWBA0zSOHj160VNCV2PxJtHVlrj0Bnzs7mrl6PQ804kkNpOJPd1trKn3X/D+UrkC2WKJZo+zdpnTYiKcypLMFVYV0I+NBdk/NE0qW8CsGOlr8XPThg5MxnNvVFwNEcauDoPBgNPpxOl0Lrm8ukF18ap7OBwmk8nUNqguX3W32WwXHMS0+F+onDhUb7N8ENPi64s6d0EQhGufCOjCVVGt6a32OpdlmXA4jKqqFz0ldDUWh++VJorquk40X6QQTWJxefDarRhkmT1draxvCpDKF3BazLgsqxuQ5LSasZkUkrkCvoWV71S+iM2k4LSYLnj76XCSvcfGkCSJRq+DbKHEwdOzuGxmtq9puchnf3270ATZq23xBtVA4MxehuoG1cXBPR6Pk8lkKJfLmM3mFQcxrbRBdfl+i0sZxLR4xV0Ed0F469KQ0LjSXVzEa8brJQK6cMWtNIgomUySyWS45ZZbLnpK6GosLl9ZvlKeL5V58uQIL42HkJUEh+aT7OhoYldXC5Ik4bqIYF7lsprZ3N7AS0OTpPMFJElC1TS2dTYTcNkvePvJUIJsoUR3U6Xe2W00kC+WGZgKs623eVUBKRzPMDodJZsvEvA66G3zY1KM19XE1Ko3Q6BcvEHV7z/zKU3172XxIKb5+XkymQzFYhFFUc4K7qsp51r872KrGcQk+rkLgiBcXSKgC1fUSuF8ZmaGWCyGz+e7pCmhq3G+TaKHJ2Y5OhXEYVbwOe3oksSLpyepd9npqrtwvfm53NDdgttmYSQYQ9U1uuq99Detrpe7pumwLOhIkoSurS5Yz4SSPPbSILFUDoNcCeTjswHu2rXmop+H8MaSJAmTyYTJZMLrXfr7WC6Xl3SWiUajTE1NAbBv376zymSqg5he7wZVVVVX7OdeDerLw7sI7oJw7RI16G8OIqALV8xKU0LD4TDHjx+nqanpgoOEXo/zrRqfCkZwWsyo5TySJOFz2IiHokxGE6sK6KqmMTgTYXQ+hgR0N/robfRhkGX6m+vob774AUstARem0waiqRxeh4VcsUwqW2BLd+Oqgs6hgWmSmTxdzd5K28pimaGJML1tdbQGLrzCWpXKFABw2i//pxpXy1v50wKj0XjWBlVN03jmmWfYvHlzbQN2KpVaskG1OohpeYC/HBtUVVWlWCwuuY3YoCoIgvD6iIAuXDHlcvmsKaGHDh1iw4YNFItFYrHYFbvv800SlartFJetUFeDQ1nTSOeLmI0GrKaz631fGJhg3+lpAHTgxHSIG/vauKm//ZIfb3vAze61rRwemWUsGMesGFjXHmBzV+MFb1sslQnFMrgdZ1r5mU1GNF0nnsrRVu+44DGSqTyvHBpjYqbyM2lt8rBneydu5+XrJHM1XU8hsBqYHQ7HWfXpmqbVBjFVV97D4TDZbBZVVc85QfViN6gufhzLN6guvt3ijamizl24FFNTU2QyGfr7+6+5/SZvFioy6hXuU36lj389EAFduCJUVa2Fc1mWyWazS6aETkxMXLUV9OWr6eubAjxxcgS9WMagqASTaayKkQ6fh7FInP3jM0QzOUxGA+ubAmxvb8K4sNIYSWU5OhHEbbPgsVsAiKayHBmbY0NbPW6bZVWPr1AsE8/ksZkVnDYzkiSxs7+VNS1+oqkcVrNCg8eBLF/4zcdoMOCwmQjFMngWArW68L21Ldqgeq43M1XTeO7l05weD1HnrYT5k4NBCoUyD7x9A4bL2F1HuPwW/54vJ8tyrZ3j8g2qhUJhSbnMzMwM2WyWUqmE2Ww+5yCmc7mUQUyLbyMGMQnno6oqBoOBf/3XfyWTyfC5z33urNd5QXgrEQFduOzONSW0qamJzs7O2uVXOqCf6/ibWxuIZ3O8cPwUwVSO1no7N/e2Yzcr/Oi1U2SLJfwOG7lSiZdGpjAbDWxpraxkJ7IFMvkS9fVnNn667RYmI0kS2cKqAvrJ8XleOTlJIpPHYjKyvqOeGzd0YDTIeBzWi+5/LssSm9Y08dSrp5kKJrCYjCQzBZrrXXQ2e5Gk85d8hCNppmbjNAbcWC2VFVhFMTAzl2A+nKap3nXBx6BpOjOzccLhNCbFQHu7D4djdScrl9tbucRlJZcSUCRJwmKxYLFYlmxQBSgWi0s6y4RCITKZDIVCAUVRVgzuZrP5sg5iqp5Mig2qQlX193xmZoZvfOMbdHZ2ctddd9HR0bHkOuJ34sI0XULTr3AXlyt8/OuBCOjCZaVpWm2FTJKk2pRQt9vN2rVray+eq5n0+XpUa2tVVWMukaZQKtPkdWFRjJiMBt6+vgdHIY0mG9iytg+72cShyTni2Tw99ZVOKjaTQknVODkXZlNLA7Ik4bKasJmNpHJFXLZKnXYqV8BmMuK0mohn8kxGEpRUlYDLTovXtWQVfCac5OlDI6iaTp3LTrZQ4pUTk9itptfVTrGvvQ6DLHNyNEgqU6CvM8DGnkbsVhOFQqWu/FxvXqWyRlnVUJQz/dYVo4GyqlEqqRe8b03TefnlEV47OkWpWAYk6uoc3HnnWhoaLhzur4Tr6U36cq8gVjeoejyeJZeXy+Ulg5hisRjT09Nks1kMBsOKvdytVutlq3NfvkG1UCjUJreKOvfrR/Uk7hvf+Abf/va3ufvuu7nnnnsu66A7QbgWiIAuXDbVKaGaptUC+LmmhJ6vRvxykCSJbEnl3/cdY3guUgvMb1vbSW9DZcXQa7NgNBqxmysf26sLvaQXUwwyRVVF03VkSaLOZWddS4ADo7Mkc3l0HVRdY1dvK5lCiaePjRDJZJGQUAwGtnY0cmNfW+2448EYmXyBrqbKYzCbjBRKZU6Oza86oKcyBUamImRzRXweG10tfkyKgd42P71tZw9VutCbVp3XjtdtZT6cqq2WB8MpPC4rAf+F69dnZxMcPTqF02HB6bSgaTqTUxH27x/j/vsv7k1TVTUMhtdXUiNW0K8Mo9GIy+XC5Vp60qVpGtlsthbe0+k08/PzZLNZdF0/5wRVg+HcA7hWU+c+MTGBLMt0d3cvuZ0YxPTWdvr0aX7913+dX/u1X+PLX/4y//zP/8z3v/997rvvPu677z7Wrl2Lw3Hh163rmXYVatA1UYP+uomALlwWi6eEVlfMzjcl9GoE9JPRDPlCkCaXA4MsMZ/K8tixYQJOO26b5aza9HqnHcUok8wVcFnNlFSVeCbPjo7mWg06wG3rOwm47ZyeiyJLEr2NPvqa6vjZ4UHi2TxdgUonlWSuwGuTQbrqvTR5K9Mly+rZ4dEgS5RUrbbCXSiVMcgyxhWCajiW4ZG9A8xFUgDIkkRfZ4C7b+rDpFzan7PFonDjji6ee2WY8akoSBJup5kbd3TVSl7OJxxOUSypOJ2VkhZZlvB5HczPp8hmi9hX0RFmbibOkYMThIJJ3B4bG7a00t1bf0nP53pzoYm5V5osyzgcjrNCka7rZ01QjUajZDIZVFXFYrGsOIjpYjaoGo3Gs6anrmYQk6hzf/Op/px/53d+h8bGRtatW8f/+T//h+npaf7pn/6Jb33rW3zzm9/k3nvv5Vd+5VfYuHEjVuubc5O7IIAI6MJlsHxKqCRJnDp1ing8zp49e1Z8w73Sw3PShRLBbIk1jXZsZgVd02j1uRgNxRmPJNi8ENAXnyS0el1sa23itekgkUwWXQerbCSRyPHcsTF6mny0+F0oRgObOxrZ3HGmw0oyVyCcyuJ32mpv9C6rmUgqSySdqwX0lrrK7ROZPG67hXyxTDJbYFN3I9FUjoOnZ5iJpCobVDvq2dBRvySoHxqYZjacpLPZhyxX2imeGpunp83Puu6G835PFn+/y2UVVdMxmyo/m+6OOvw+OzNzCQCaG9y4Xat7czOZjeh6pdSlWs5TLJZRTIYlZTPnEgmnefxnR0nEszhdVqYmIgRnE8j3S3R2By54+5VcT2FL1/XzlpG8USRJqq2W19WdaT1afb1Y3Flmbm6OTCZDqVTCZDKdc4Lq4p+rtuwTr4utc198O1Hn/uag6zr33nsvUNnrBNDS0sJDDz3EQw89xE9+8hO++MUv8jd/8zfce++9/PZv/zY33XQTFssbsx/mWqXpMtoV7lN+pY9/PRABXXhdVhpENDY2xvT0NLt37z7nlNArvYK+UvSXFr6iL3xV03XShSIlVUUxGJAliRu7W+kOeImmsxwanmU8GCcaqXxUf2h0lru39rKu7ezQaDYaUIwG8qUyjoXOKWW1EiDMi0JqZ6OXG/pbOTI8SzSZRTHI9LfVsbatjicOnWY2msbntJLOF3nu6Ci6rrG1p7nyyHWdqbkEboelFoSrATsUS7OOlQP64oBRLJY5dHSKgaE5yqpGe4uPnds68LituJ3WS2qr2N7moz7gYHIyitdrp1gqk80U2LOpB5Ppwi8xI4NB4tEM7V11SJKE12dnaiLKwLGZVQd0XdcJzSZIJ/PEwhmaWq+fN+Q328Y4SZIwm82YzWZ8Pt+Sr1UnqFZX3cPhMBMTE+Tz+Uo52qLQnsvlMJlMF3z+r6fOXfRzv7ZIkkQ8HsdqtaIoypIT02Qyyc6dO/nsZz/L7/zO7/DTn/6Un/70p2zcuJH/9//9f/nIRz4iVtSFNxUR0IVLtlI4n52dZWhoiF27dmG3n3vE/ZUO6D6HjTqrwnwijdnoRkZnPpnBY7PQ5nUxFIzw2OlpErkCJ9IqW9sa2dhSjyRJNLocqCWNuUiKgMuG01o5yZiOJHnp1CQ9TT5MxqUrw2bFyPqWAC8OTqBpOopRJprO0eJx4bFYKJVVFKMBWZa4ZVMnfa11RFM5bGaFljoXQzMR5qJpOhu8tfAdimc4MR5iQ0cDitGAJEk47WZmQvna/eq6jq5V2imWVY3p+QS5Qgm3w0Kj37kkROi6zsv7R9l3eBKnw4zBIHHk+DTxZI733LtpVWF6JXa7mbvuWsf+A+ME5xKYTUY2b2pl69bWVd0+nS5gXHh+VRarQjKRW9Xti4Uyex87zvCJWQr5Erl8mp71adra2jEaL7yC/2b3Zgvo56MoCh6P56wNqqqqLimVSSQSpNNpEokEU1NTK3aWWc0G1cX/Vp2rn/vi64s696uvWj75yU9+kt/6rd9i06ZNFItFBgYGOH36NI8//jj/9//+X3K5XO336IYbbmDjxo186Utf4g/+4A/45Cc/yac//emz5gVcb1QkVK7s7+mVPv71QAR04ZKca0rosWPH2Lp165JJhyu5Gm0W1/vspFxepmIpiuUydU47t6/tJFcq8/jJEWK5IjajTCpf5KmBUcyKkb6FDaSRVJZCSa2FcwCvw0o8kyOZzVPnOvvkY1tnE0ZZ4uRMmFJZJWC1kYxk+fYTR7BbTezoa2Fzb2UyaL3XQb33TM1uoVhGkljS8cVsMlAolWvhHmDjmkZmQglm5hNYLSYS6Rx+j42mOhePvHiKidkYqqZhUoys727gps0dtcCQzhQ4NTyP123F466sJDlsZqZn40zNxunuWN0E1FQqz+xMHEmWaGnxYrOZCASc3HvPBnL5EopxdaUtVYEGJ8cOVzrGKIoBTdPJpPL0r2ta1e0Hj05x8uAEvgYXDS1eRocLnD42x8jJWfo2re4k4c3srRTQz8VgMOB0OnE6nbXLDh8+TF1dHV6vtxbcM5nMkg2q5xrE9Ho3qK6mzl0E98ur+r3+9re/zYYNGxgcHOS5557j4Ycf5vTp0wB0dHTQ0dHBPffcw4c//GFaWiob7//iL/6CH/3oR/zu7/4u8/PzfP7znz/vApIgXAtEQBcuyfIpoclkksOHD7N+/folA1HO5XK3WdR1nXgmjyxLtV7kTrORd+xYy8D4NMFQmPaAl4ACh6dmyeaLNLnsFItFGt0OJiIJBmZDtYBuMyvIskSxpGJaCJvZQgmLyYjNrJDMFZgIJ1BVjQaPg0aPA6NBZltXM5vaG5mcj/OTFwbIl0p4HFaSmTyP7x/CpBhY13n25ke/y4bRYCCdK+CwmtF1nVgqR1ejF6v5zGpPf2cAXYfXBmdIZQqs7axn+/pWJubinJ4M01rvxqwYSWcLvDY0S3PARUdj5WSpUChTKmnYXGeGzVQDcaFQXtX3eXh4nueeHSQRz4EEPp+dO+5YS1u7r1JzbD33IJtz6elrYPR0iPGRUO1n2dDkZv3m1YXr0VNBFLOCfaHvus2hUMypTAyHVh3QwzNxBo9MkIhkaGjz0belDYfHdtHP5Y1wPQT0lWiahsFgqAXvxXRdr01Qra68x2Ixstks5XK5tkF1eXA/38rqagcxVevcl99G1Lm/PtXvUV1dHX/5l3/J1NQUUKlBv+eee9i9ezfvete72LFjx1m3lWWZn/u5n2PNmjU88MADfOpTnxIBXbjmiYAuXLSVpoTu37+f7u7u2orFhVzOEpdQMsMTR4eZiMSRJehtrOOujd3IskwyHicxM0F3czPFYp6RkQjHxoPMZgpo9spG0UgkQrlQJpHJ1sJOi99FV4OXoZkILquJsqZRKKncvqGLSCrHE0eHiaQq7RStJoXda1rY0VN57kaDzPhsjHSuQFdzpcbWaTMzGYxzfDS4YkBv9rvY1NXA0dEgoXgGHfA5LPitVl47NYvPbaOlwY0sS6zrrmdtV6DSu3xhZf3ZAyO4bGbMC51cHDYz4USW2VCyFtBdTgtej5VQOE1Lk7tSz5nIYbUoeN02TgzOMTweQtN0utvr6O+pX1L2kssW2fv8EJlMkdY2H6AzMxPn+b1DvP/9N1zUqvliVquJd9y/ibHheeKxLHaHma7eehzO1dWRywYJXVt6sqdr+qrbNc6NR3js268Qj6QxmRWGDk8wenKGe39pD/ZVbpR9I13PAf1cJSySJGG1Ws+qOa5uUF1cLhMMBslkMhSLRUwm0zknqL7eQUyqqq5Y514N6kajUQT386h+L4rFIrlcjne/+91s27aNW265hbvuuqt2ver7ykq/Gz6fj1AodN6JuNcDsUn0zUEEdOGiqKpKsVgEKi+Ai6eEdnV1rfo4lyugF8sqP9p/ktFQjHq3HU2D/cNTlMoqHl1nYGCAtWvX4vf7a6tjtpY5fnrkFMZyEb1cIpPNMZdI4SymeeTJGLNFnVhJw2BQ8NiMSIDHZWdTRwPr2+r54b4B4uk8XfWVdorhVJZ9w9N01Hupc1ZWXXOFSqvExUyKkUyueI7vh8RN69tpr/cQSWQplVRODc6x95URNF3HpBjY2NfEnXt6MRgqb97Kovpqk8lAMrP0+6nreq12HcBolNlzQxdPPneKsakYEpVNpjdsbWdsKsqBoxOV68sSE9MxQtE0d9y0pnb7YDBJLJalpaVaJy9RX+8iHEoRCqVobvZc8OdVyJc4eXSaiZEQJotC79pGevoasFgV1m68tEFNPWubGB+aJx5JY3daSMZyyEaZjjXn72pTdfTlYRKRDO1rGirDtcoaU8PzDB+bZvNNvat+HLl0nmwqj8tnRzFfvRrX5d1MrhfnC+jnsniDqtfrXfK1Uqm0ZBBTJBJZskF1+SAmu92OxWK5bBtUq6+rYoPqys68DgX5x3/8R973vvfVSimrJ0HV789K/uVf/oXf+73fw2AwnNXLXxCuRSKgC6tWnRIKlRfLcrnMwYMHcblcS6aErsblarM4EY4zEUnQXuepbdw0GiROzczTZyyysbeLxsbG2uMG6G8MMBVLsW9olFy+jL/OzVqXjy6vm5Nz88TLOZwmhVy+QDKXoMuu0EaBYqjI/sgcpyfD+Jx2SsUSiknB77AyOh9jPpGuBfSWehdHTs+SL5SwmBVKZZV0tsD2Nc0kMnmOnJ5lbC6GzaywvquBtW0BDLJMR72HjnoPz7xymum5JO1NHhTFQDpb4MjANB3NXvq6zi4h6u+oZ2b+NJFEFptFIZ7KYbeaaG/y1K6j6zpd7X7e+8AWxqeilMsajfUu3C4L33/4NVxOK56FFeNMtsDwWJiN/U3U11Xqfg0GGVmW0DSdagmvqmrIBhmDQaZQKBGJZFAUA3V1jrN+H1RV48mHjzJ4bAaTRaFc1hgeCHLr29eyeUcHl2rNxhaS8SwnD00SmksgSRIbd7XR1b+6gB6ajuFwW2uP12CUMRhlovPJVd1eLasceOIYx18cIp8t4vY7uOGezfRt77zUp3RRxAr65aEoCm63+6z9M4s3qGazWZLJJHNzc2Sz2SWtJJcPYrpcG1Srr13VAFqtfXc4HNdlnfuXv/xlfvVXfxVgSYOCxc89k8mcVcKyefNmPve5z1FXV4fN9uYoX7tSVK78Js4Lz6AWLkQEdGFVVpoSevjwYQwGA5s3b77oN4bqMV5vuCgtTPlc3CtcliSCwRC9LU6am5srb3SqWltBNxkNvGNDDz5ZZWIuRBorM8EkQ2NhZhIpmnxO1qxtwWE1Ec3k0HSdzeu60EpF5qNxdDVIKBwhEQmjo2MwKsQLGqHgHLNGjVQJZEWircnDdDCBqulIEnQ3+1nbWc+j+waZCMZx2SwkswWmI0nKZZXNPZVNkbquMzwRwe0w18pGHDYz4WiGmfnEigF9bVeAXKHEiZEg8XQel8NCnd3KK6+MkskWyCRTbNte+Qjf57Xj855585qdT5LLl2gInNmAZ7OaCEczZLJnVvwbm9w0NrqZno4TCDgrrQ1DKbq7A6RSeZ5++hTxRBaj0UBbm5dbbu5dMqRoeiLKyKkgDc0eLNbKzyIUTHJk/xj9G5sxr3LVuVxSiYVTmMwKbp8dg1Fm19v6Wb+tnXQyx9TsOIEG36p/r/wNboaOTuJrqKyqaaqGWtLwrGKKKsDxl07z0o8PY3dbcPnsxOaTPPPdV3B67TSt8LO63ERAv7JW2qBavf/lg5jC4TDZbBZN07BarWetuttstosaxLRY9fUyEokQDAbZtGnTWbf51Kc+xYMPPsjOnTsv19O/pmiaxvT0NNls9pybfSORCB/96Ed55zvfyS/90i/VrrN58+azJloLwrVMBHThglaaEnrs2DEKhQK7d+++pDfJ6m2qG70uVbPXhcdmYS6eosnjRNN1ToyM47NbqHNYGJiNMBgaIZrJ0ux1sbOrhVafC6Ms0+pxEpyLMBhK4nfZsNtMJEtFEqkcI9NRNvc2YlWMxHMFJMVEwOMmEAgwXzKwf3gGr92CpqnMx1K0+BVMksZ/vHiEqVgKTdOxKAqNDjstPjcBr4v+zkbmE2mmQgk6Gry1k4pgNMWRkTnWddTXSlLMpspGz8WqpS66rhOOZ0hnirgcFvweGwZZ5ob1rWzobiBXKDE6Fua5F4bQNB2jUWZ8PMljTw3w8+/celY7RbfTUnnuqTz+heCeShewWhRci+rAFcXAnXetY+/zg8zNJZGAvr4GNm9p5dlnB8kXyjQ2uCgWVYYGg1gsCrff1le7fTKRo1zWauEcwOG0kEzkyaQKqwroE0PzvPTECaLzKYyKga51TdxyzwYsNhMOtxWH20o4MXNRb8Ib9nQzMxZmYiiIxWYim8rT2O6nZ+PqNpgOvDKMyWLE1+gBwOqwMH5ihvETU6sO6IVsgbFjk6TjWbwNbtrXt2Bc5WTYa3VQ0ZX2Rj9vWZZrq+aLN8bruk6hUFgyiGlmZoZMJkO5XMZsNp9zENP5VFeJdV3HaDTWrr+4zv3pp5/mAx/4wEU9jxdffJGPfOQjDA4OMjo6Smdn50V/L6606kloPB7n85//PL//+79/zhPTQqHAq6++yg9+8AMikQi/9Vu/VfuaCOcVogb9zUEEdOG8qpuqquG8OiU0Fouxe/fu864Gnc/lCuhum4W7NvXw+GunGQ5GK0MsDBK//PabOHDoEC+fHMWoKFiNBk7NhQkm0rxv53oCTjuyLBNJF1BVcFhMSAUwKwaKCwFY03QimRx+hxWX5cxK8E397RhkmaGZCEgyHXV+ZBUePRwmWSyzobcLr8NMOJEimsqw1mZAKac49lqQ4fk0wbkcZi2PyWTCZDZjlCGbL1IoLWqn2NfI4y8MEo5lsFkUYokcTruF1iYvT786zKmxeXL5EnariY29jezZ2oFBlrFaFIwGmdeOTWM0GGhoqpy0JOMhxiYijE9GWdOzdJOqzWpi87pmXjk4zsR0DEkCCYktG5rRShpzswnqAg6Mxkrpyrvfs414LAOShNdr4+TJWRLJHB3tfiRJwmg04PXamRiPkM0Va51d3G4rRsVAPlfEsnBZKpnH7jBjMMgcf22KeDSD02WlqzeAc9kGzUQ0w1M/PEwqkcXf6KJUKHP0lRFMJgO3PbC5dr2LLZ1q7annnl/aw8CBMeLhFBt3d7NuRydO7+o+Bi/kChiWbZCVZIniKjvjpKJpHv7Hp5gamAFANsisuaGbd/zX2zFZLnzSIlbQry2SJGGxWLBYLPj9/trl1YWOxZ1lqi0hC4UCiqKcFdxtNhtms3nJz7da1rH4/qpfz2azq+5OksvleOihh/irv/qr2lTO1+vUqVP86Z/+KU8++SSxWIyWlhbe+9738tBDD12w9e75VJ9fuVyutc481+98c3Mzo6Oj/OVf/iX/+I//yG/91m9dt38jwpubCOjCOZ1rSujU1BR79ux5XeOTq28wl6MOfWtHE60+Ny8dOUbYVOKBt91MvdfNfzyTo6xY6Wpwo6oqfqeN4fkYp4NRAs7KC7xBrkwd1XUdu9lEg8vO4GwEFZ3RSAybohCw2BgNxmjxO7GZTZgVI7et72RXbyvjwRiPvjBIMpMnlEyTz5c5eWqO7ZtaaQ74yOsSjroGdva2ous6jeNzhPaeAINMqVwmm80yHUnhtRk5cKBMLC8RyZaxWa20NjtJxIukMgUCfge7t7QTT+U4cmoGv8dGg99BMp3nwIkpAj4HfZ2VVbxsrkgmW8Rhr4RgCQmjsVJSlEoXVvweblnfgsdlY2ImiqbqeJwWhgeCHHh+GF3XCQRc3HZnf22DqG9R+YeuV+5jMUlamOa66Mfb3O6jp6+BU8dnMJkMlMsaRqOBdZtbePbJk0yOR2o17oMnZ7nrvo14fWfCxuRwiHgkTVtvoBKCrCZUVWP4+Cy77liLxXbhzgyapjE1FGR+KobJotC5rhmXz05zVx3NXavrA79c1+Z2Xv3ZEVw+ByaLQjqexWCQaO4+u1vPSo48fYLx41O09TVhNBnJZwoMvHKazg1tbLil/4K3v17Dx5ttc6wkSZWTcpPprA2q5YXXguqqeywWY2pqilwuV2slWQ3tqVTqnOWBqw3ow8PD3H///RQKBR5++GHuvvvu1/38nnnmGe6//37a29v5xje+QV9fH8888wyf+MQn+P73v8/evXtpalrdbIPFEokEuVwOt9vNxMQEUDm5WDwsavHG2qr+/n7m5+eB6/dv5FxUXUa9wivcr+f4jzzyCF/60pc4cOAAhUKB/v5+fvVXf5WPfvSjF31Sns/n+Zd/+Rf++Z//mdHRUebn5/F4POzYsYPf+I3f4N3vfvclP84rTQR0YUXVcF4ul8+aErpz587X3UO2+mJ5MZ1cZqJJXhqcYCwUo85pZ2dvK+tbKyGokIxhzSf5hbffWqsVzZZV7LYzK5uSJGGUZdL5M90Smt0W4prE+Hwcv8uGSTLQ6HSwubcRv9vG0ESEl+enQAK/08pdm3voaqi8uVpMRk6Ph0lm8nQ2e0mrJUymEplskZlgEtdCX+5quz9Jkuhta2Bbf4rjY/OVDg5GhTU9fja11nFiLMhUNIFi1MnPxymVinR4zKxtceP3GZDVJIeOB0FXsVsVJEnC7bSSSOcZnY7WArrdZsLltBCNZWo14KWShsUo43FbmZ6NMzoeIV8s09LoprcrgKIY6Gzz0dnmQ9d1fvj9g4wMzVPf6EKWJWZmYjzx6HH+ywd3YV3W67ypyY3DYWY+lCJQ56RYLBONZdmwoQnbotBsMMjcef9GWtp9TIyGMZmN9K5tJJ3KMzEWprXdj9Eoo2k6E6NhBo5Nc+OiEhm1rC753akes1RUUVWNclmlkCuhaSu/GWuaxt4fH+a1vYOUCmV0wN/o4R0f3E3z66gV33LbWkITESZPzaKpGiariU23rqVrlSUyo0cncLhtGBdKjyx2M7IkMX16btUBPTqV4OFDTxIcD9PQUcfmt62nZc3Fh6E3k2t1Bf1SGI1GXC7XWd1FVFUll8vVgnsqlSIWi1EqlXj22WexWq0899xzBINB1q9fj8lkWtUnksePH+euu+7ii1/8Ig7H6vZanE88Huf9738/uq7zs5/9jO7ubgC6urowm8388i//Mh/+8Id5/PHHL+q46XSaP//zP+dHP/oRgUCg1sf+wQcfxGw21zbkVltqVlfXE4kE//Zv/0Z//4X/foRryxe+8AU+/elP8853vpPHH38cp9PJ1772NT7+8Y/z2GOP8f3vf3/Vn9xns1luvfVWDh48yH333ce3vvUtWltbGRoa4o//+I95z3vew+/+7u/y53/+51f4WV0aEdCFsyyeEloN55FIpDYldPkY7ktRXe1YbUAPp7J8+8XXCMbTuG0WBmcjjIfjvH/PRuqtBk6cOMH27duXbORqdFiYzhVQF+6jUC6j6joNbgfJXIH9k/McDcYI1DWiopEtlLCZFN69ay1be5r43gvHyOSLtNe5QYLpSJKnjo7wS97NWE2V0oNIIovVUgnLAZeN0fk4GjqJdJ6ZWAqHxUSb78xHuwaDzB3beuho9BKMppCRmJqM8eQLpxmdjeFyWOhf00BLn4dQPIOEzvr1bailSk1rMhFnPpymmI2hKApms4lEskQqaSGVSqHqBnLFMps2NLP3pWHGJqIYDRKJVImNG+solVSeeO4U2VwJgwzHB2aYnIlx1639tROJSCTN1GSM+gZnLWC3tHqZnooxPRWjd1n7Qp/Pzo039vDqvjGmpqMYjQa6uupob/ayb+9pdE2npcNHS4cfs1lh846OJV1bnnzkGCaTEaOxcv+yLGF3mpmdji+5n6Z2H1aHmUgwia/eiVrWiM6n6N/SxsTpEMcOjJFNF8mVkmy/sYe2trYlt58ZDvHaC0M4PXYcHhuapjN1Osirjx3jPQ++7ZJX2JxeO+988A6mhoJkkln8jR4aOutWHR7tLivR2diSy1RVw+pY3SdU8+Nh9n3/CCYsOLw2ju09xeTJGd71m3fT1LO6TjZvNovb6r2VGQwGHA7HkhB96tQpDAYDzc3NZDIZjhw5woEDB3j22WeJxWJs2rSJrq4u1q9fz7p161i3bh133303zc3NtWM88MADl3Xl8Mtf/jLhcJhf/MVfrIXzqg984AN86lOf4oknnuCFF17g5ptvXvVxS6USwWCQEydOYDaba60ov/Wtb13wtk1NTfzZn/0ZIGrPl9OR0K5wFxf9Eo7//PPP8+lPf5r169fz/e9/v7bP4gtf+AKxWIx/+Id/4Atf+AJ/+Id/uKrj/d3f/R0HDx6kq6uLH/zgB7X+911dXdxwww10dnbyF3/xF3zwgx9k+/btF/14rzQR0IWzpNNpotEo9fX1tSmhhw4dWvWU0NW6mF7oxyeDBONpehr9yAsvtqPzMZ4/Pky3IcP69euX1HsCrPE7UdMaY+F4pdZdNtDqdqKXNH50cICxUJhyWSWrlTHYDdzY2cq2jkbMipGpcIJQIkOz11kLri0+FxORBHOxdG0VvSXgYmw2hqbp1LscFEplTk9FkY0SVsWIWzHz0mvjOKwm+tsDtNa7UYwG+tsC9LcFeO7VYYZGQyhmIxabCV3TOTUYxG434bSZiaZyWOxO/K5K0NIUL4+9NIjTqqAYIJrIoOtFjOT53k+fZzKUQdUNOO0WGvx2Gg1OJMmAz53j9pt6ePy505TLKp1tlcefy5cYPD3P2t4G2lsrQ5U0beHjc/nMC6wkSeiAplZqVtLpPACOhRDZ19dAS4uHSCSNohiJzCZ47D8PkUkVAB2rzcxNd/azbc/SN28Al8tKqaQu+Ri6kCvh7lxaA17f4mXXHf0ceHaIydMhZINMa1eAxjYfex89jkGRsTnMzExn2PfMCJ3d7dQv6s0emolRypdxdNgWfv8kfPUu5qdiZBK5VU0OTUXTHHrqOMOHx7HYzGy4uY8Nt/SjmJVVr5gvt/7mfiZPzTA/HsbmspIIJ3F67fRu61zV7Yf2jZKJ5+i9uQdJkvA1e5k4Ps2JlwYvKqBnEllic3GsTiv+Zu+Fb/AGOt8wmrc6VVVrA5VsNhsPPvggDz74IPF4nPb2dk6ePMnk5CQnTpzg5MmT/NM//RMdHR1LAvrr2fezku9973sASwYGVcmyzJ133sm//Mu/8J3vfOeiArrb7eYzn/kMv/7rv47dbuff//3f+d//+3/zzW9+k2g0Sj6fJ5vN1v7N5XIUi0XcbjfveMc7uP322wER0N8s/uRP/gSAj3/842dtmv7kJz/JP/zDP/DFL36R3/md3zlrCNlKhoaGANixY8dZw6l8Ph99fX0cOHCAp59+WgR04dqnqiqJRILBwUEaGxvJZrMcOHDgoqaErtbF9EJPZPIYZLkWzgEsRpmTI2Pc+Y6dKz42j9XMfR0NJFSZSDLDyHSMyak4h0/OEs5k6W5y4jIZafO5mUukGYnEuKGr8iZW/eRAXfT4VF3HIEnIUqVOOpTMUOd34PfYGZ2JohgrddV71rZx+w3dHB6a5eREEJNioFTWGJgIce/uPnpaKicSqqpxYmgOl8OCxaIQTKSxmIwkE3mi0Sx2NBxWE45FJSVru+qJJXOVdoqZEk6nk01r2kjEcoxNp/F66wgEbMRSWaajGTZ3GnCai/icdg4eOszwSAyX00oyKWMymTCbFMqqRjyZo33hPvx+B/UNLiYnorS0epBlibm5JB63FafLwmOPHWdyIooEtLX72XNjN06nBbvdjN1uJpct8sh396OWNTp6Kid0kfkUr+49TXd/A27v0vKo7r4Ghk7NMTkWxeEyk80UsdpM9K9vXlgpZWEwEmy7qZfONQ3Mz8QxmRVauup44j8PoUvUwnhdo4N4qMDYYHBJQDdbTLXve/Wkq5AvYTIbQYLREzMUckV8jW4CzZ6z3tSL+RIPf+0Zxo5N4fDaScUyPP7N58ml8+x+YNtqfo1X1L+rh2KuyOGnjpNNZWnoamDnvVtWHa7j80lMljOTLiVJwmw3E52Lr/oxHHn6OK/85CDpWAaT1UTfDd3c/oGbMFuvzYmL13tAXylgZ7NZANasWcPatWt5xzvecVUeTyaT4fjx4wCsXbt2xetUL9+3b99FHVuWZVpbW2ltrZz8plIphoeHr+m64TeDa7EGPRQK8cwzzwArn+j19/fT2trK1NQUDz/8MO9973sveMwtW7YAcPLkybP2IeTzeUZHRwFWFfbfCCKgCzXVaXbVle1iscj+/ftpaGi4qCmhq3UxK+gNHgeaplMqVzqdlFWV8elZtrTX093dzcB0iONT8+RLZXobfWxpb6wMEVGMdLc1sve1ESZmK3XmuqQTzmSYmE3R4q280dlMCplCkUK5jNFgosFjp9XvYmQuRqPXgYTEbCxFW8CNx27hsSOnGZmPUSyVMdkM9HrqcFnMBDx21nXVMx1OMj4bozXgxrTQ4WMiGGf/wDRdTT5kuXJyoi/US9utJupcNubjGbKFEvPxNG0uE+t6AqTTBbBXpn4aDDK3bO9i45pG0tkCiViWZ58b4tRIkFy+RDKcRc1r9G9oYmo+gd1bz607unn66afp7+thaPwUqVQOiSTFYoFCsUwmqzM9ZSabiZBMqyiKma6+AMVCmdmZBLqm4/bYuOX2Pl7dN8boSAi/34Gu6xw/Nk2hUOL+BzbXQnRkPkUinqO+6Uxpj7fOwdRYmHAwdVZA99c5uOvejRx/bYrgbIKuXg9r+hqYGQry1Hf3o2oafZtb2XbLGmwOM96AE++inu2ZTKESshfoeqWUKJ8rLbmfjnVNBFq9TJ0O4g24KBZK5FJ51tzWzxPf3cfMaBhN07DYzGza083Ot69fEgAnTk4zOTBLy5qG2qTQyEyMo88PsOVt67Es6vl+PsV8ifnxyicADZ0BDEYDm9+2nnU39ZFP57G5bbUTiNWoa/MyfHAMbWFolKZq5NN5mrpXF/CnTs3w3HdfRpIlGjoD5NJ5Dj1xDJffyZ5371j147iarueAfq7OV5lMBovFctlXxy9kdHS09vNobGxc8TrVzaHDw8MXfXxN09A0DaPRSH9/Pw899FBt+mrV8v7x1Tkb55rkKlw9yeTSgW/VSb7L7d+/H03TUBSFnp6eFY+1du1apqam2Ldv36oC+q/92q/x8MMP88Mf/pCPfvSj/PEf/zGNjY2MjY3xyU9+kmg0islkumonsxdLBHQBWDolVJZlVFXlwIEDuFwu1q1bd0Ve5C4moG9qb+T45DyDM2EkCSLRKH6HlZ+/fRcHR2d55MgQmq5hNMicmg0xGU7QJp9ZoT8xMY/FZMRtt6BJOjaLiWwmTyxTeZGPZXO0+VwoRgMnZ0OcDkUpG8FmMxFN55AliXqXHa9i5l8fO8RMMk1fRx0Ot4NIKktSK3HHhh6avJXgeGJhE6hpUfs9t8NCLJWlUCpjNSsYjQb6uut58eAYNquJtoAHtaRhRGJLfzNOs4mDhybZmx/GYTOzY2Mrm/srK/wepxWnzcxzzwySSuXx+uwo2SImo8z0VIz6JheSxMKQJAlZlqmr83HLjWt57sVhkHTsThd6Ok9npwOrzcrefZOkMwXK5RISOp3NTtZtdGM2m2nvCKBpZaYmIzQ1uWs9yxXFwNRUlNB8iobGygY3i1XBZDJQyJdqg5aKhRKKyYjFqhCaSxKcS6AoBlo7fNgdFhqa3DQ0nRnb/eR/HOTwC6exOsxIssSLjxwjOp/kgV/eg7wsvHZ0B9j33CAevx2j0UCxUEbTdBpaPEuuZ3dZufuX9rDv8RPMjoWw2MzsuGMtiXiOyaEgLd0BjCYjyViGw3uHaOmup7X3TCeWTKIygEZZ1K/d6rSQjmXJpfKrCuiTA9M89a8vEJ6KIMkyTd31vP3DtxFo86OYjCi+i9+w17Ojk9MHR5k8OY1BMaKWyjR117Ph5tVtkBs/PkU2laNzY6Vm3+lzkM8UOPnyELvftX1Vf/uapjF+bIqZ03MYTUa6NrVT33FpXXFWo/q6cT2Gr+VtFqsupsXi5bQ4gJ1rJbI6uTORSFz08atTUnVdx+fz4fP5apefz4svvkg8HueBBx646Pt8q9N0CU2/sn871eMv3wv0mc98plbKslj15C0QCJzzZ3uxJ3pGo5Ef/OAHPPLII/ze7/0ezc3NGI1GyuVKC1y73c7f/M3fsGbNmlUd72oTAV04a0qoLMuUy2UMBsMVnbx2MQHdZlb4xZs3cWwiyIHjA3SYXbznzlvwOu38cP8AZkWm0VMJeLliiZMzIcxeI00LAV3TdKo9/9xWC36HjWgig1TQGAnFcJhNdHo9PDswxlA4gsloRAJkq0xPk4d2u5PnDowyOhxmOpJA1yUUTWLj2iYCbjsjwSgz0VQtoLtsld7F1RV/gFS2QKO/MiRpaCrMVCiBpkBTo4toNEOprOFxWLn75n48biuPPDuAyWTE7bCSTOd55uVhHFYz3e2VEplMpkA4nMbrsWEplUmk80iyAU3VmA+lsHuttC8Mz6nauLYZs8nI4HClj/qmdc0U00Ue/dExcvkSbZ0+OvrryZdKpNJZWjsaMBk1ksko4+MRpqbmKBRsWCxmTCYzBoORbLZALpcHXORyRdw+O939DRw9MEExX0KSJRLRLGs2NDE3m+DQK6NkMwUkCfwBF3fct4GmljM1z7FQmsHXpvDWO3Eu1IXbnRZGT84xNxmluXNp8Fu3vY256RjTYxEAkvE8fRtbaO8JMD0cpFzSaOzwY7aaqG/18cBHbiGXLqCYDOjAd/7qCdx1jloXFZfXTmw+RXAyuiSg+xo9mMxGMskc9oUe7Yn5JP5mL9FgnH2PHyWbzNHa18i63b2161Tl0nme+OfnCE/HaOgMoGsaE8eneOpf9/ILn3rXRa2aL+b027n5l3ZiSCuEp2PUtXhZc0M37jrXhW/MQthdVmkmSRKaqq2qPZ2u6zz/76+w/5EjFHOVTXwuv5O7P3I7a3acvefgclg8l+F6c74Sl7fiCPtq+cyGDRuYnJxkbGwMj8eD0WjEZDKhKEptcJPRaESWZdxuN1//+tdJp9M88MADlMvlS57ZIbw+k5OTS7oTrbR6DmdO9M5XbnIpJ3pf/epX+d3f/V127NjBz372Mzo6OhgZGeHRRx/lV37lV9i1a9eqj3W1id/Y69zyQURQOTvVdZ1t27Zd0Y9Lz1WDHoynODE5T7ZQosXvZn1bPSajAbvZRJ1cZJ3byI033orFYiGczJDOF/HYz3S8sJoUVFUjW1RrJwDr2gM8dnCYVLaAw2rCazHT5HJQ59Doq/MxNZfg0X1DjEXiBDx2tve3YDEZyRSKhDIZwhNJ4oksXc0+smqJfLHM7HyShnoXjYGlI8DjmTxmq0KD38F4MI7dYqJQKmM2KWztbWLvsTGOjs6h65XpoGbFwM4dHbT43QR8drxuGz9+8jiaDoGFFVWrRWF8OsbpiXAtoJvNCmazkXyhhN9rJ5svEo5lyeRL6MC6zgCFdJGDRyaJxAqoqoYsS/T3NtDfWyl/2PvsIM8/NUAqlcdqVZgYDpNO5Nl6YxfJdAGb3UvPQiBet7ZIIv4qiUQGm91EsVBkdiaMUdE5cPAADz9SJJsFi9VEZ4efjTuamRqLI0kyN9zaQ3d/I4//+DUMBpmO7gCaqjE1GeXV507zrl+8oVYik03nKeZLeOrOrCZbbCZCMwmyqbP7uDvdNu75hR1MDofIpgvMhSZpbKjjh3/7FDOjIXRNx9fo5m3vu4GuDZVaVquj8iahllUMikwxc2aokK5X+g8YTUt/91v6Gll34xqOPX+K6HQMTdNweO00dtfzxL++RLFQxGRWGDs+zfRQkHs/ctuSGu7pwVnCU1GaehsxLnyyUN8ZYHY4SGgiTGPX6vqmzw4HGT06iVZWaelrAqeGw2tjwy0bVnX75Vr7mzHbTUTn4ngb3OQzBVKxNJvftm5VJSTB0RCHnziG3W2juacBXdeZPR3khf/cR+fGtiWfOFzIaruzXA8dXM7lfCUub8QK+uLwlcvlVrxOtT5+tcOKqu9H3/zmN3nooYdobGzkn/7pnzh48CC//du/TUtLCwaDoVYusfg/i8WC1+vl0Ucf5YMf/ODrf4JvQSoyKle4Bn3h+Cu1D71avvrVr/Kxj32Mrq4unnzyydrJwfr167njjjvo7+/nF37hF/jzP//zC07yfSOIgH4dq4bz6pudJEkMDg7Wzk6v9IrDSivop2cjfPeFo0RS2UpphgTbu5v5hZs2Mh8MMjo6yq5du2pDkhxWM06riUQ2j20hCGQLJYwGGafVRCpf5JXhKeayGVwuC+FUllAyg8Nq5u1buzDnw4zNJ4kms9hsJiQJQrEMA2PzbO1rxmZSmIklSYQzeFw2DLKMz2FjMpKgVNZIpnJIJgm7xUSj18Grp6c4OR0iWyxhMMo0N7oxSwbsFhN6QeXRJ08wMB4iEHCytq8Bu91MMJZiMpLkxs2dWBZWcQvFMgbD0tVBg0GiUKwEyXJZo1Aqs2F9M3tfOo2qarisZvKZEu1rm7nz1n6OHJ1if3AMgEgkit05yjvu3IBhIdjkckWOHZnC5bKSVcuVmn27mUQ0y9x0HKPFgMVy5nfAajNx8y1r2Pv8EIl4HjDQ1t7EDTd08sqLp4kEC/gCNkqlEgcPTdDRYaNzownFZMLtLjNw8jThUIzOnvraKqC/zkloPkkynsWzMJTIF3DicFuJhVMEmjwAJCIZ7E4zZpvCK08NMDkcwuGy0L+lja61jZgtCr0bKuU/6sE4+x8+SWgsTmNHHQaDTHAyypPfeYUP/q5/ycq2wWigf1sHLz78GnFFxmw1EZtP4vLZaVvWTlKWZe78pZtpX9fCzOkgJqtC54ZWXvrJIXRNo62v8vFrqVhmYmCGiYEZ1izqxKLrlYXqxYu+krQwrEuHRDhJMVfC0+BGMa38t3fixUGe/ObzpGNpkCRMFoWuXW3033bpe0Q6N7ax5107OPj4a0ycmMZkNbHuxj523L1lVbcPTUbIp/MEFk4cJUnC1+QhNpcgPp8k0Oa/wBEq37PDTx7j2HMnKRXK9G7vZOf923Ceo+TnrdQD/WKdq8Qll8u9ISvoXV1dtcWWubm5FcsFZmdnAc5ZW7zc4jkZk5OTRCIRFEVhYGCASCRCa2sriUSCYrFYm9dRHapX/fQ3m83Wuo5dj5+0vNlUQ/y5TvLg4k/0Pv/5zwOVrjDLV+7tdju/8Ru/wUMPPYTRaOQv/uIvLuVhX1EioF+nVpoSOj4+zuTkJNu3b+eVV1654tPXlgd0TdN56ugI8UyO3kYfkiSRLZQ4NDpLu9dKZnacrVu3LjkbtyhG9qxp55Ejg4zMxzDKEsWyyqbWRuxSlqdOTZDUDRglHc0E3oCNXZ3N9LcEMMsaP3pqhvkstNe7UTUdp81CrlgiFMuQzZcoaipOqwXJrpLNlfA4rTR6HORKZSYzMZL5AnWygxaXk1eOT3J8ep72Jg9tdW6S2QLJXIGbNnYwNx7nmf1DFMoqZVUlNJekVCizY0cHHoeVcCJDMpPHYqoEkq42PyNTEfKFEhazQi5folzW6GjxMjge4vDJaRLpPFaziTX9jSQiGQqFMrt2dLBnZxcvHxhjdi5Je6sXg0Emm45y7MQsa/ua6VwIUrlsiUK+hMNpwa9rzM4nUY06+UKJYDDJrpt6aAwsXflYs6aBQJ2Tmdk4AA6biZ997wBHD05UVvMjWXo2tuD3+zEYZG68aRPlcqWHeyw0TaFQYHZ2Dk1TMRgNlApgNBgJBueYCxrRShJur4Mdt/fxwsPHmBgKgg6K2ci2W9ew/9lBJk6HsDrMBKeijA/Nc8e7t9C3+UyLw1Q0S2gyRqDFX1vBbuqsY2p4nsnBOdbesDTMbr6xh2K+yODhSVKxLIFmLzfcuQ6tVOblHx+kkC3S2B2gZ2snRsXA2l09rN1VCRqZZI5kNLOkRaNiMqLrkIpmltxPa18j/mYvsyNBGrsa0DWN4HiY5p4Gju0dYPS1CUqFMt5GN3vevYOuTe1Lbl/IFnjxB/soFUu0b2hFkiTi80lO7h2isb8OLmIBXdd1NE3HYKj87e951w76d/USnopid1tp7K5fdQC2OCxIBplysVxbLc9nC5ityqp7ub/w/Vd5+UcHMNvMGBUDL/3oIPMTEd73u+9c8WTlzTZF9HI6V4nLG7WCbrfb2bBhA8eOHWNgYIBbb731rOsMDAwAsHPnzlUds/qzfd/73kd/fz+aprFmzRqOHTvGe9/7Xr7whS8QCoUolUoUi8Xaf/l8nnw+j8lk4lOf+tR1+ztyIVezBn21qidvoVDonCfgF3OiNz8/z9TUFADr1q1b8TrVy//+7/+eL3zhC1d9g/WFiIB+HVppSujc3ByDg4NLpoRe6VWq5YOKsoUiwXgKv8NWe2G1mRWKxRKvHjnOL9y+c8U+7Ns6m3BYTJycDpHJF8mmCoyMhXl8apYsGrdvX4NZMSDLEiOhOKlyCb/LRiaTQVU1QEeWJAxGmSa3g+FglESxwEQ0js1qYl19HbrFxfMHR5kJJSvdVMo6W3ubuWtPL0NjYQ6dmGY6miJTKFLMlrGva8Jjt5DKFxieiXL6xCw2qwmvVSGRL2BWDCTiWcLhNGa7gtWkYDEpjM/HmQ4nKZbL1AechKMZypqGYjCwvreeTCrPo88OYLEq+H120tkCSVXn7bevoavFj6IYyBdKzMzG8XrOdAOxWg2UyirBUKoW0F1uC16fnfm5JI3NbhTFwMxsApPJyI7tHQScVn7wHwcpFst09wbYvLkNq82Ex2vD47Wh6zo/+fY+JodDmKwKbo+NdCLH0OEp1u7qRNN1QMLj8eDxePB5A8xPlwjNJvAE7ORzBSLpJK2dbl59cYjx0SjFQgmjYqCl3cO6WxrJRIsoiomedS2oZTjy8ggtXXW1EpG5yShHXh6hd0NzbfNotUziXIr5ErH5JBa7Gbe/Unu+555NbL5pDYVcEafXztTgLN/788eIBSt1kUbFwMZb13LPR27DYDzzIl45hpPQVATHQneaYr6EJIHLv3T11+q0cueHbuHpf93L7PAckizR3NOAt8nLa8+cxNfkxu62EZ6K8NS/7uW9v/0A3oYzK0WxuQSJUAr/ohaQ7oCT2fE5EsHUhf/gFr43x/ee4vCTx0hF07Sta2HnfVtp6AzgbXAvub/V6tjQSmt/E+PHJnEHXJRLKtlkjt3v3F77npxPOpbh+PMDOH2O2v07fXYmTkwzcXyKnhX6wa9U5qHrOtHZOMlICm+DG0/9xT+XN4Nzlbi8UZtEAd7//vdz7NgxnnzySf7bf/tvS76maRpPPfVU7XoXw+FwsGfPntr/3759O+vWraOnp+eCIe1rX/vaNds+Tzjbjh07kGWZUqnE8PDwip/EXOyJXtW5TtSq+SaVSpFMJvF6r635DyKgX2fONSX06NGjbNmyBY/HU2tftdoNnJequjO/yqwYsZtNJDJ53As15cVSiXg8xm29fbS0tDA6H2UqksRokOlt9BNw2ZEkib6mOvqa6vjJSyc4PDaF3WoiXyoTzxQ5NjjH1rVNGAxGnBYzc4k0UPmj9dqMxAwWgrE0DV4HdXYbYXOGVr+brW2NzEcznBydp1RWcXgtSCWQgW1rW7hxcweheIbBiTANfgclNMIpiUgsw9hUlPVrKi3HisUy+UIJm9WEzWLC66ysmBdKKnPhJD7Zwe51bQzPRtg/OE1ZXWghZ5RYv76JFp8TNDh8YJynj54klszh99kxr5NpaHIzORdneDJCX2elhtlokDEpRjILG/aqP/fq9zifLzE1E6dQLNO/sYlUMlfpay5BwG1j8x3tuF02nn/6FAaDjNEos/eZGMG5JPe/czPGhYCaTuaZGJ4n0Ohmbj5JWVVxem3EQikmx8Js292NzXbmY0WrzcSd923k1eeHCM4mUEwKN71tA0bgyR8fxmIx0dRch8VtZm4mTrEV2je4yWQyTIVOMzWYJBKJYnFJmEwmTCYTVruJVDxLIV/CutBFxemzUd/mJTQeo6mzDtkgE5yM4A04KeSKfPevHicZTWMyK/RuaeOmB7ZgsijYnBZsTguapvHSDw+QjKRpX99S+SQnmeP4C6dYu7uH7s1nVrYNBpmtd6zj6e+8zOTALEZTpYtMz+Y2OtY1L1mpBuja1E7TH72P2eEgskHG3+Lle1/8Ea46By5/ZS9Dc28jEyemmTw5vSQwW5wWTFaFXKaAaeGTgVK+hGyQkA0yx184RS6dp67FR9u6lhU3nR57boBHv/40OmC1mzny9HFmh4P8l0+/e9WbSpczWRTuf/AuXvnJQUZfm8BmNbHzvq3suGd1JTLZZI5CroSn/sz9K2YFtVwJ+itZvoJeKpZ59tsvcmzvqUqrSpeVrXdt5Ob37rrkzbfXIl3Xz7tJ9EoG9EceeYSPfexj3HvvvXzlK19Z8rWPf/zj/PVf/zU//OEPGR0dXdKW99vf/jYzMzPceeedK66uX0j1Zy1JEh/96EeXTFVd/PXl+xL+8A//sDbV9FpbGX2jachoV7gG/WKPX19fz+23387TTz/Nk08+eVZAP3XqFFNTUzidTu69994LHq+urg6v10ssFuPUqVPcc889Z13n1KlTQGVj6mrLZq4mEdCvI9VwXi6Xay94qVSKQ4cOsW7dOurrKwGv+iJ3NQL64vtQjAZ297Xyo30DTEUSmAwyo9NztPhdvH3XVp45PsrzA2Pki2VAx+ew8e4b1tHXXNnEmEjnOXJ6Fq/Tis9lI5aMkymrhOMZooksjQEXmUKBzjo3qqYxHIpxOpnBHfAxFUwyOhfDIEt01XvZ0tHI2FyckVCUgMeO1aYQKmXwua38/I3r8ToqKzOvDc8BYDUreOwWIuksBqNEKJohnsmja9DXVkdkPMH0XAKb1URngxdZh/lSmrZmL11NXkaHQ7x6slIPvranAbfbSjSVZT6T5cbN7Tz28HFGRkJY7CZsmkYhX2Lw2CxOlxXFaCCbr7TILKsa2UKJ/r4G9r40TDiSxmw2Eo4W6e6qw+Ox8uNHjzIXSqHrOlazQu+mZpwWE6VimaYWL80tHr7zb69gs5vwL6wCF/IlRodDTE/F6FjWRcVmUwgEnMyHUmSzOfK5Ii6Hha1b24jMJ9E0nbp6FwajTH2jmwd+YQepZA6j0UB4Js4//v9/RngmjsVqYm54nsbOOnydAdSiha1bt1aeV7nMMfsIc8MHUcs62XKWeDxOaCaJv8HO88+8TCxYoFQAg6nE+lt6GDHNMDceQdM0vA1uttzax74nTlAslPE1usnnihx+/hRWp5ndd2+qPZ9MIkdoKoqn3n3mkxyXlfB0lNBkdElAB+jd2oHFZub04TGyqTwtvQ2s2dHF8OFxDjx2hHgwSVNPPbvu30ZrfzMWu5muhWPk0nnUsobBeObNrHqf5bK65H48ARdrd69h/yOHKeaLGAwGEqEU7kYXA3tPcyw9hAQYFAMbbu7njl+6eclqv6ZpHHziKEjQvNAj3V3vYuLkDEP7R7jh3q2r+KutSISTRGfjOL0O/C1ePPVu7vnVOygVSsgGecn9XoinwY074CQWjNd6t6djGcx2M/6F6bbLLf907+izJ3j1Z4fxBFx4G9wkI2le/uF+Aq0+1t3Yt+rHcq07X//3iy1xCYVCS3qJVy+r7u9Z3tP8K1/5CsPDw3z1q1/ls5/97JLJzV6vl+9+97s88MAD3Hffffz1X/81a9as4ZlnnuETn/gEnZ2dfPOb31z1Y1us+lx1Xaeuro6pqSmy2SxGo5HW1tbahEhJkkgkEpUTd6uVO+6445LuT3jjfOYzn+Hpp5/mK1/5Cr/+67++ZB/cl770JQA+9alPLdlrcfDgQT70oQ+xYcMGvvWtb9VuI8syH/rQh/jyl7/MV7/6VT760Y8uOV6hUOBv/uZvAPi5n/u5a3JPiwjo15HqBhqovJjlcjn2799PV1dXbVJb9WuSJJ314n25rbRJdE9/O4rBwCtDk4xNzrChycOH7r2NdKHES4MT2EwKbX43uq4zHorz1LFhuhu8GA0GMvkihWIZn6vyx+uxmonliiSyRebiaTK6ittqZlNrAy+PTPHq8CQz6SKyt4TNbaLT66bRaufQ8Sl+PHycyVACq02hbqMVu8OK1awwFowxE03VArrVZFxo4Qh+h41ssczIdATZUKZUVunye8imizS1eAhHM4xNRpAkCcUo88471rNuTSM/eeoE4ViaXK5IOa9yJFti+9Y23HYLU+EE07MJJiei1Pkd5FWVZDqP1W4incgTmk+hKhIdzV5OT0Y4OjRLKlvAYjLQ2V1HIpolXyhTX2dh67omHv7Ja0xORunsDlDf4iGVLjA2E+Odd2+kZWFDZjicIp8v4fGeeRE0WyoTR9PpM11UHC4L7T31HD84Tn2zB7vdxOxkjDpfgDvfsY5XnjrF7GQUHahvdHHbPRtoWCjPcLltlZXqR4+RzxSw+ey43TZKhTJzY2Ekq4m2zjMBwGg0smFbN9PDMU4fn0ExmZBKBjo63fRuamTgyCTJWBZZ0UklssxMxNi4uxF/Xysmk5m23iamBsIkomm61rWAVFn5LeVLDB6c4IY719dCpdlqwmI3k0vlayUa6kJYtthNjB6dJDwdxWI307mxDafXTmtfI619ZwLN4P5hfvq3T1AulLC5rJx8aYjZ4Xne/3vvor79zAmO1WGhbW0Lx18YwOayYVQMxIIJLA4LTSt0dbntv+zB7rZy4oVByqUyu9+1jbGhMaZOzLFu59rKfoNkluN7T9G1qX1JeYhaUsnEM0vqwmVZRqJSS78amqbx8o8OsP/hI6QTGSw2M+tuXMNdv3IbJotyUR1bqkwWhRvfcwNP/PNzjB2bRJIljEYD2+7eRFP3yp1tlgf0U68Oo5iMuOoqn0J4G9ykY2lOHxpbdUBXVY3RI+PMDAcxmRV6tnWuaoPr1VR9Tb4cbRZ37tzJ+Pj4kssWt5xbXib2oQ99iOeff5577rlnSTivuvPOOzl06BCf+9zn+PCHP0wsFqOlpYUHH3yQP/qjP8Lj8az6sa1EkiRCoRCf/vSnOXz4MC6Xi29+85v09PTUPlX4u7/7OyYnJ/nEJz5xzfa2vhaouoR6hWvQL+X4t99+O//jf/wP/vAP/5Cf//mf57Of/SwOh4Ovf/3r/MM//AP3338/v//7v7/kNl//+tc5efIkJ0+e5NOf/jQ7dpwZrvZnf/ZnvPzyy+zbt493vvOdPPTQQ7U2i5/5zGcYHx+nr6+P//W//tfrfr5Xggjo1wlVVZcMIlo8JbT6MeBiF9Oj/FLlSyojwTiaxUl7wINBljHIMjvXtGIrJoi6VG7cswdFUTg0OkMmX6Sp6UyniHq3g3AySySdo8HtwO+24XVVykdaA25MRgN+ixmb2UJLnRO/004hW+a7T7/GVCJFS72TgFWhw+8mmskRK+SZG40zF05T57UTzmTJZUucGJhj9w2dtaE7pYU3yXyxTMBvx2E3MT4bw+uyoiDT5ndz87ZOZFni2HCQI7kikgQWn5m+NfW4rGaaGtys6Qrw8DMnyWQLdLT4yGpljAYD6WSe2YW6cItJwboo9PhcVlIeO5GFiaPRRJYd29qRkXj42ROYLQo+j41MrkhZ1bjlll6aAy4e+cnTPP/YKYZHwpWSjWiWeNhP35ZWYoksoXC6FtCdTisOp4VEPIelsXLfmUwBs8mI02nh+PEZRobn0XVo6PCRSeeZnYhSLmu0tvu4+e3rGDg2w9jgPPXNlVXoqfEoT/30KO/78I21qZ/5bJHQdJyGFg+hUJrswkTQQq5EPp2ne83ScKaYjNz189to761nZjyC3WGhe30Tj393HyOvjqPIEq6AE5fXDEUzflcrLT2VEplsNs3E+CThcBhpvIRJUVAUE/lskbJWJpfLoZagXFRx+x1seds6nvn2ywTHw5jMCslIiqbuAFNDc5z+zsuUi2VAor7dxz0fuX1J6AY48tQJivkSbf2Vzi6eBjfjx6cYeHnorOvuemAbyUiKmdNzaKqG3W1j1wPbaOppIBVNE56OYnfbCLRVNr3e9HM72f2uHeiahq7pHP74UZx+R62Uw+ayEZqMEpqMLAnoRpORxu56Bl4+jbvOhSRLFLJFJIOMVtb46d8+QXQ2RlN3A5vftn7FQUPDh8bY+x+vYrYqNPc0kE3mOPDoUXxNXna/c/uq//aXW39TH556FyNHxikWSrT1N9O9tfOctaPLA7qu6bDsqpIkVS5fBU3TePpf93Lg0dcoFSptSvf97BD3PXgXvdsv/xTlS3W+FfRsNntW+cf5jI2NXdR9f+ADH+ADH/jAea+zdu1a/u3f/u2ijrsa1YYFP/7xj/m3f/s3du3axU033VQrS6j+nng8Hv7yL/+SRx99lJ/85Cf09b11Pj25XvzBH/wB27Zt40tf+hJ33nknpVKJvr4+/uqv/orf/M3fPOvk9P3vfz/f+c53WL9+PRs2LN0p73K52Lt3L3/7t3/Ld7/7Xd71rneRSqVwOBysW7eOz3/+83zsYx97w/ZuXIgI6NeBxVNCJUmiXC5z4MCB2i/pSm+CVzqgHx6Z5fsHJ8iWNFzHZ+hs8PH+Wzbhd9kYHR0lFAqxZyGcQ6W3uSwvHfyTL5UwGQ1YFSPZQonhYITGehcz0RSnpyNkMmmMBpl33bSJTR11/Pvek8zH00gGiVAsQyFfwmMpoes6bquFUxPzJOcztNa7MSuVqaPFskYqkyeeyCKbDdjMCg1uB0fG5nhtfI5soYRsM2CRoFhScdvNbGgPkA7neOX4BC6Pla52PzowNZ8gi8Y79/TWwlQklsFqqYRwv8vGXCxNqawyF05hdCps6Wqgo8VLe4efE8dnKtM3G1yoRRW/y8Z9d65nfjbJ9//zIOFYBr/PjqG3nuZWD5PBOFPzCXrb6xg6HkctKbj9jkqtJjA7HqW+xQN6ZRNkJltgJphEVTXWrG3k0P5xxsciyLKEDmze3MrYeJgjhycxmRQkYGIiysaNLdx69waKhTKNLR6SiRyzjxynocWNZaFWurnNy9xUnNnJKB0Lw39MZgWr3Uy5VKal3UcomCSfqww22ritHYfNxIFnB9F1ndbuAI3tPixWE5t2dbFpVyU0Dewb4dDjR1HLGrLLwtzIPLpBp2ltK2pJqk2eA/BZG0hPP4vBKGFxmshmckTnkzSv9fLNL/+A6EwWWTbgq3ex9dZedv/cFob2jVHOl9l65wYauwI8/x+v4Kn3YHdZ0VSNyVMz7HvkNR548M4lv9/x+USt1zpU/u6MioFkJH3W34K3wc17Pn4v04OzFPNF6lr9+Jo8vPrTQ7z84wOVcg+bmb6d3dz9/9yO2Wau/P4YZFRVQ7Eo5JP52vGqbRtNNtOS+5Ekid3v3M78eJjxE1OVkCdBQ2eAEy8OVj7JcFk59OQxJk/N8J6P34OvaemmqeHD45TypdrKttPnIJvMcfKlwVUHdF3XKxtAT1YeQ/eWDpp6GmjubaS5d+VR8cstD+h9u3oYOzZJKpbG4bGTDKeQJOjZ2rmq480MzXH4yWM4fHZcvsrfyMxQkOf//RU6N7VhVK6Nt8rqSvFKr9nZbPasspS3isUB/b777uPv//7vaWlpqX29up/pwQcf5Bd+4Re44447+OpXv8rnP/95sVF0BddiF5fF7rvvPu67775VXff2228nFAqd8+smk4lPfOITfOITn7jkx/NGuTZedYQrZvmUUF3XOXLkCLIss3nz5vPubr5SAT2czPCjl4+TKZRp9NqxOewMTM7zk30DvGNdI8PDw+zevXvJC2tXvZeOgIfhuSh1LhtlVSORzXPL2k5UTef7rx5lIhJHB4wOBY/JxIYWJw0uE3ff0Mezh4eYj6XpavaRL5aI5HKVSZzFEqCTyhexKApZWSaZK5BPZyhLOrIskc6WmI4kaWpws6E1wNBUmANjMzhtFjx2CwmpQFmRuWNDN4n5DM/sHWQ+kiaUyOC0m5E16Oyqo85jJxzPEEvnqHNXzthbGt1MBRPU+XTa6tyYDAaGcxGaGlxsaW8gGy/wbz8+iMVqJNDgJBrLoqoaTQ0u7njbWsLRNMeOTWMwGLA7zBQLZQZPzuFwmFGMBvLFMqlEjnSySFOzB0tJY3oujtmkUCyqjI+G6FnfjMVs5GdPnSAaz6LrOjaribWbmzFoUCqpNLd4ic4k+NE/v4RW1mho9dLW34gmSwwPz7N5cwstHZVPN+LRLLq2dMOWJEu1DZOlkko8ksGoyGy5uZenv38QXdMJ1NmJhdL07uqircPPD76+l0wij46O3Wnl5vs2snnP0k97jjy/sJHVYsLmsmJ1WpgdmSMRTODyLP24v6W3nhvuWs/h5waJzWYqZRQ3r8fhtfPai0M4LQ4Uq5FkOMvLjxxn813tdL+9AUmScbmdjB4YJZlI4W1xUyqXUIxGPAEXs8NBCrnikqFEbeta2PfwYXyNHmSDTKlQQi1ruOqcPPfdlyubKV0WNtyylrV7eiv9zBfVto++NsGz33kRg2KksbuBXDrH4SeP4W30cMt7z5QhGAwy3dvbOPzICUJTESw2M7FgAm+T56w2jQAta5r4L/+/dzO4f4RsMkugrY7RoxMM7R+lfX0l8PhbvIwfm2Tg1dPc9J6l3RJ0XV/ayB1AqvR4zyZzxENJHB5bbcPrSl78wT5e+P4+8plKudQrPz3EO/7rbWy6beVWaCtZHtC3vG09oYkwJ18+TWw2js1tY+f921i7p3dVx5ufCFPIFmnoPNM329vkJjobW+icc+HuDrquc+z5AQ4/dZxUJEXXlg523b9tVbddrXP1QIc3tovLlVZ9n9q3bx9f/epXaWlpOet3oFqW6fP5+Ou//ms++tGPkkqlREAX3rREQH8LWx7OoTI2OZfLsXv37vPubL+SAX14NkIsk6feZUWWJKwmhYDbwcmxWVy5ILfsvuGsyWNmxcjP7drAsydGGZmLYJQN9NX5KWdV/u/jB5hJp1nf3oDRIJMrlpiNJWkMuGhxmJBliWS2gCxLyJKEzaxQ57CRyuRJ5spMRBIgS+zqb+GFaJETo0FsDhMGg0S+UMTntfHAnn7mgikOHZ1mZC5GvlxmQ08DAZcNq0dhPBRnbC7KwIFpkKC1xUtOV5F1mBiN0tDgoqRpKEYDJqOBaDLLdDiJ2WHC5TAzPhXFsLAieuPmDm7b1c1TL50mHMvgsJsJ5tLYHAp37ezC77HR0OjCpBh4/puncTgtOAyQni5is5tIRLME55MY7Qqt9ZVVbMUkk88XqW/0ous6oXAaVVVpbPKwbUMzTz5xgmAoRVdnHf4GJ/FkjplwigfevgGfx86hF4d56geHScdyOJxmpk6HSEYzbLp1DblciXSmgG9hQ2ldo4u6BhfB6RiNbV4kSSI4Hcdb50DVdH70nX1EwpVPN1o7/Nz6nq2cOjBOLpNnx+39bLqxhyf+/SBaWaOjr7JpMDQb55UnT9K9rgmH+8wbbnw+RaDJTTKZJxXLIhtlSiUNq02hs29piYwkSex6x0Z6N7URno1jsZvx1Dn4P5/6NnNDc+iahmI2Ut/dgMFso8nXwZotreRyOdLpNKHBBKViiXAojLow2CkbLeD0Oxg4Nkg6nEMxmGhb08SOuzczOTDNxMB0LVy0r29h/PgUM6fncHjsxIJxJk/NUswV2XrXxiWPdeS1cfKZIh0bFlaqvQ7yqTwnXjjFzT+/c8mJddeONgwGI+HBGPlMga5Nbey8fxueehfjJ6aYPDGNbKisVDd21+Nr8rLnXWfqNA8/dRyb60xduiRJKBaFxHzyrL/d7s3tHHnqOPH5BO6Ai0wiSz5d6SrzL5/9dzLxLGa7mQ0393Hze3edtfIcno7y6k8OYTIrNHYG0HWd4FiI5//9FXq3d626b/rycKaYFe799TvZ/o7NJCNpvI1u/M3eVffBtjqtSLJEuVjGWB0WttAtZ7WP6fCTx3nka0+BXtnH8OpPDjE9OMsH/+DnsXsuzwChc3Vwgbd2QK9KJpN0dnYCK5f5GAwGdF1n06ZNTE9PX/Fhe29Wui6j6Vd2U6R+hY9/PRC/vW9R1V7ni6eEDg0NEYlElpSOnIvBYLjiNejSwsobQLlcIhqLsuaWGwkEAsQzOaLpHF67tbYhs85p4327N5DOFfjR88c5NDRDuawxGUlgMhlo8bjwe+1YTQogEcrkabZXnmfAbUfTqZXItPtcxBI5SnKJFrcDWTcyOBZmNp9BUiS0koZekmjwO6nv8BBP5Tk2NIfbbsHhMFFIqJweDWO3mWisdyFLlfaKyVSe+nonpbKK1VxpdVjOlZgJJpDMBrb3tzAfz/D8a6Mks4VKeYnTSG+DC4fFhM9pJRPP8Y2vvcB0MEFPbz3uBjcBn4Px6RihVIYbtlVWRkslFV3TkCUJt8tKKlMgksiRzReJJXLsWdtIg9dBLJGlpdPJ3ESJ8HwSi2LAYVbo3d7Bnbf38djPjnNiYBajQSY1n6G108eaTU1MziYIRzO4HVYO7j2N2WLE5a+0tXQ7LSTDaSaH5vG1elEUIwcPTjA1FcVsUehc10i5pDI3GUPXwet3sPOWXp595CjRYJLmzjoMioFTx2fYuK2NX/nUPWiqjlExMDE0TzKWobH9TAcPf4OLqZEwoZn4koDe1tdIaDpGe289iViWXCaP3WVi+209nHhlmFMHxlBVjb5tHWy5tQ+LzYyv0Y2vsVK7eviZE0wem0SxKLjqnBRzRaZOTOHvrEcrV/pNOxwOHA4HN91tJ3gySmQ2jr/eSyaZpSTrNHTU8eQ3XyIeSqGqZUwWhbU3dbLlPf3Mnw5Qzqo0dTVisZp5/BvP0dbfXAuB8xNhDj91nA239C/ZYLlSTTVypaa6XCoTnoxiMBqoa/MhyRIbbuuj+b80U8xXNqVKksQL//kqL/zHq+QyBdB1nD4Hd3/kbWy8de2Swzb3NnDwsXl8zT5kWUItq5TyZeo7zp45sOaGbva85wYOP3GUiYEZLDYzLf1NBMfmMVlNBNr9ZJI5XvnpIVx+F9vevvTEY348TDqeoX1dy8JrgISvyUt4KkpkOkprf/MFXzd0XWf4wBjHnx/kOX0/HRta2XnfVgJtfho6A7VV8IvRtamd5t4GJgdmKr3ci2WyqTy3vHcnNteFV2DVssr+Rw4jyzKNC5t7PQ1upgZnGdw/ctb34VKdqwc6VLq4vBGTRK+G6olWQ0MDJ06cYMuWSgtPVVVrTQ2q15MkiWAwWPkk8C36/RCuDyKgvwWtNCV0YmKCiYkJdu/eXWujdT5XcgW9p8mP124hGI7id1hI53IMT86ypbuRtb1dPH54iFeHpsjki9gtJm7obeGuzb0YF+q2J4NxDg/N4HfZcFjNFPQys+EUQ2MhfJ7KkCNV17ApRlRNYywcJ6uXsNsVhmejWBYu723y0WQw4pAUDo4GMRpl8pqK4lKocznob6/D67MxFU9xaiyEUZbxuqwUNJVktkCpoDIfSeNyWylrGp0tXk4enOHUZBjJKKHJC28ssoRiMrKhuwGzLvO9hw+DUaK/ux6j0UAwliYnqdy/u5fnnhzg1VdHSGQKqGWNkVNB0qk8m27owGZViMazte+johjo6ann1X1j2GwmOpq8GJBwmhTefnMf+VyJH/3sNfKFMolUie71jeSTZQr5Ertu6mHnTT08/cRJkoksbr8Ngywj6TrT41F8DU4kqXIfxUKJbDqP023FYFaYm4tXervnS6RTOW5cu47XXptkdCyC3W6iFEkzpcOOPV247WY0XSfQ4OKHX3+eg4+dQFFkwsPztK1rwtviY3wkTDZTxOGs/F5arAqK2UgxX8LoqISRQr6EYjaimIyMDQaJzqewWBXW39jL9Okg85NRJFnCZJDp2txANl3g6e+9itlqQpIlnvvP/YRnYtz3X29ZsvI2fWoOxWRAkmWQJMx2C+lEjnQ4RX3b0tIEd52Te/6f23j14SPMj4dx+Z3seed2Ro5NUUqq+NyuSngySoSGUvRtM9N5Q8vCJtUEJ/dPE4lEsPgVFEWp9HK3KWSSWfKZwpKA3rmxjQOPvUZsLo6n3k0unScbz9KztYPvfv5HzE9W9ga09jXTtMOP0+lEMZ/pohKejvLyjw5iNBnp6KisVM+Nhnjuuy/Tu70Li/1Mffzm29czeXKGiRNTGE1GyoUybWub6d959iAYWZZ52y/eyObb1hKZieH0Ojj+4inCExECayolTp6AQj6dZ+CVobOCqdVpwWgyUsyVMC/UyBeyBYwWI9G5ODOngyhmha7NbeccNHR87yme/ebLlIoq/nofr/70EJMDM3zwD3/uvKU152Oxm3nXb97Diz/Yx9ixSWxuG3vevYOd921d1e0L2SLpeHZJmK92BUrHz953cKmu1xKXqrvuuov/+T//J52dndx4440rnqzE43G+9KUvsWXLllW91wnCtUoE9LeYc00JPXXqFDfccMOqd/lfyYBe57Lz7j0b+NaTrzAXz6LHUvQ0evmv997CsYl5nj42gsNipqXORTJb4JljowRcdrb3VFbdZsJJymUNh7USMurdDiLJLPPRFKFEhkyxiNdupcPv4sjEDNHZNNl8kbKiY3OZ6PR58FktJGN59h4YJSelaGnx0tHpJ1UqEkvnyJSKKFYj2sKUUaMsI8nSwuO3kc4XGZ+NEU5m8WWy9Df6Kx1IFI1UNIfDbkHTNfL5EpvWNvPet23k8ecGGJuMMhNNYjMrqDmVDRubCbjtTMzHGJkIceLEDF6PHYvDTHEmhsWsEA2lSUQzpHMF+joDROIZjp2eY2Y+idlooK7eSTSWoVRScTrMvO3mNSTiWV7ZP0ZTq4eGgJNIeJ5wtsD73ruDpgYXRqOBVDJPKJikvsGFkswxF0phtSjkCyXGxsJs3NZOU70Ls8lIoMnNyKk5WjrrsFiNRMJpZFXjptv7ycWzPP3To5hMBgLNHtrW1JPKFDg9EuI9796KohjY9+QJTrwyAjI4vHYK2QIjhyfoMRqxee1omkYmnSeVzGNzWujsb+TkgXHcPjtIkIhm6NnQwuDRKU4dmUIta5X2jc1u7vrlmwhNRkhGM9S3egkmZjn2+DiegBOXr/L7nk3lGX5tkuBElKZFfdw1TcNT50RFqrQa1HQkoL7Vg6/BxfxkhHKxTKDNj2Iy0tTTwLt/8x3k0nkUs0IilOTH/+dxorMx0HV0vVIu4W/1Y1dc9G3srN3PSesgM4ciaCWdol4kk8kwPxbGVe/gZ999jMhIHINsoHdbF1vu2MBNP3cD+x95jcmBacw2E/27ewhPRokFEwQ6/GiqxtDBUebmZmn52JnNsADBsRCZeIa2RSvV/mYPkekY4anIkpXqQJufd3/8Hgb3DROfT1Lf7qfvhh7sHhvHXzjFkaeOk4yk6d7Szg33bcXX6MHX5K1tID36/MBZdemyLFMunt2mtW1tMx3rWxk6OIqnzomm6aSiaVwBJ0/83+cp5ougg6/Jwz2/dgcd61uX3F7XdfY/egRV1ajv8uP1ePE1epgcmGbg5dPsemDbql+HSoUSoakoFpsJb6MHf7OXd330bor5EgbjxfVytzjMBNr9jL02gdPnQJIkCtlCZRhV88q93C/F9V7i8hu/8Rt87Wtf4yMf+Qgf/OAHWb9+PT6fD5vNhsFgYGJigq997Ws8+uijfOtb33qjH+41S0VCPesjust/H8LrIwL6W8hKK+fRaLQ2JfRixthe6S4uW7ubkLJ9HBsex2Gzcv8dt6AYjTx2ZAj0SggG8DttpHMFjk/O1wK6w2oGCVRNwyDL1DltBJx2MoUimq7R5HFSZ7FyeCTE4akwm9d20eisrKyPR5NIisTocJjJ2Ti5gkaymKdUCGM1GWn0OsgUS0TiGSYjCRx2M2vqfdhcBh5/ZYh0toDDZsZvt1Lylblpeyceh5WB4XmenR0mViri9NswqiBLBvxNTlr76zh6cobZYJK2Fg9ZrYwsSczOJQjUO/H67ZiMBsoFlVQ6j9lpQgdMZiO5fJFcpsT4VJTeNQ10tvl4/KUh5qNpXHYzsWQOo9XAng09BDw2zEYjLz51kheeH6JUVEnPJend1ILbZSKXKzE1E6OtpfJ7YDIbMZkrk0WbGt1IskQ0mkVTdVpbfGzpb2LgxCylkkrnhmbCwSSTwyFkWcIsS2y+cy1ul4WHv3+ITCKL7LIydnKWZDTDmu3t5HIlcrkSimLgxKsjOFwWNFmmWChjdVqJBxNMDc1x28/vYHhwnpPHpslli1htJjo7/exwWhg5PoMO7LitD1+9i5/9y4sYDTJOjw1/s5fZ6Tgjp4K8/b1nOog88p/TFHIlbG1nVs+sDjPh6RiZxJlPIAC6t7Rz9PkB7E4rgRYP2WSObCLH9js38IO/fpTJgVlUVaOuxcvbPnAj7WubkSQJm7OyUhqeihCejFRKZBY65MSCCYKjwSXDh2RZZu0Naxi7dYqTL1cGCqmqTltnG/5WL+MvT4EMmqby9Lf3cmz/cTbd28+W962hmFLx1XuhBE994wVa+86UyNS3+5kYniQRTEHHmedldVgwKJVPIaqbVwvZIorZSC5T4MBjr6GWVFr7m2jqacDX6FlSlw5w+Mlj/OwfnkQta5itJl74z32Mn5jmlx76eezuM6UD7etbeO2ZEyQjKVx+Z2W1P5lj5/1bz/q7NypGHviNt/PiD/YzdGAEk0Fm4+3rGDsygd1jo7mnAU3TmRqc4cX/3EdrX9OSoFwulknMJzHbTEgLAUA2VF7rUrHVr1QP7h/mqX95gehsDKPJyJodXdzzq3dgc1kxWS6+l7ssy9z0nhsIT0Vr3Wl0oH9Xz2Vt03i+EpfrIaBv2bKFv//7v+f3fu/3+OxnP7vidaxW6//H3n/GSZLeVb74N2x6n1nemzbV3kx3j2n1WI3RSCNkQAJxQQhh9AeWRdpddPf+tXD37rKChXsvLIKVECCQEDIzGquxPT1tpr3vLu9NVlV67yIiI+6L7K6Z1szAaGVAUp/Pp190VtSTkVEZT5zn95zfOfzar/0aP/MzP/NDPrubuInvL24S9B8TXE8Jfb0mr1AocP78eTZs2LCWEvp28f0g6JZlcWVulZOjC6QKFQbbQuzf3ENzwINlWZQLOZpdCgcO3I5yrZnHNK03mkQIAvVr51I3TXxeOx6XnZnlNCGvk5puYJdl3nvHJvo6wjx1bJiJVIxENk88X8TrSLOxL4yiyETcTqbmkpSWy3S3BxHNEugSlbLO4mKGva09tLhdqIgMtoRwygqpVJm5UhWbUyGeLRHPlnDaVfZv7aXD7+XFM5NYIvg9DgqahmFCR1uATeuaSRUrCLLA/FIav9eBy6HidztI5EpomsFqIk/FMhhsD6M6VbLVGtVcsWHRJwmoiowjoHDH3j58LgdPPXGJydk43T1hHH4XIb+LpViWdKnCrbt6ePTLpxi7EkVWJURFopirMn5+kXCfHSSwzMbfJZUpUasZDK5v4dTxaSwLPA6VmqrRu62TW2/p4fDBUbKZRoCNapPp39GFxy5TKWm0dATo3dDK1794FKdTpeZ3YnM0bBMziQJLM0n6N7bicjXIoVm3sNkUWn1OVpezFPMVajWDVr+Tlg4/x18ZQ5UbFfhq1WBkeJkD9w5x+wOb1xoV/uLT32D2/Cw2R8Pi0Rvx0rWli+X5FLpmoFwjrS6/HafHTi5ZJHTN2z2fKl5rhLQ49M2zLM/GCUQ8bNjVy9537eDiy8OU00VsThs779lEdjXH5PlZIl1hJFkiNpfkxS8d4UOffgTX62QMhXQJ1aFgmhbVcsPvHguwrBu08tCQPNz3iwfo2dxJdHKlEUbU18SRr50Eo0Ew60YdX9iDkJfpivTia3VTKpUolUpMnJkhnU5jLtax2VQUVcHSG/rnaqVGbD6BVbcIdQTpGmqna6id6Ytz+MJeTNOkmC7Ssb6NF/760Jrdo8Pt4Lb37n5D5blu1Dn97QsICHSsa1Tng61+liZWGD8zzc57X0teHdjZy677t3LlyCiZ1RyqXWHjrYNsu6vhSaxVddIrGVw+J56gG1/Yy4O/fDf3fGQ/gigwfHSMyTMzayFDoigQaguQWEo1Gj6bX5O6yKpMS28Ty4dW1o7Xaw0L2Vwizz/+wePoNYPBnb1su3vTmzZ4ppYzPPOXByllSwTbA+hVnQsHr2Jz2njoV+55w/FvF33buvnQ7z7C6MlJyvkKbQMtDN02+L9E+N8KP+kSF4CPfvSjRCIRHn/8cUZHR9cSUW02G6FQiF/8xV/kYx/72BsaiW/iNZjW92aD+Hbf4ya+N9wk6D8m+KdSQjs7O7/r8URR/J6TRC/OrPDVQxep6XUcqsyhS9NMLaf4tXftJZNYpVgsEggEbmhYXd8RYXgxTq5Uxeu0ka/UMOomGzuaSBbKPHt+nIVkFk0xMWUo1jSafC72DnVx65Yenjh2lWgqT29rEEW2yFYrLMVzBH12Olr8VHUDUzcRBAHNMCgYdRRFoYhFKldmejmN3a7w4M51tIe9PHtugrpp4bQpSC6JoMfG3sEOrGqds+fmeWlhhGS2RFdngJaeADabjKlbJNJFCpUAharGnv4IpYUiiVQRASddTT4kUWCulEaRRTb1NONVVV44NYEj5MCKWxhFHaNugijw0Ds30RLw8MKLIyTSRQzdZGE6ST5TYfuebpx2lWyhQiZVYm4yhj/kQnHaWI3lcHptlLIVUjGTpi43oZCLQ8cmmF1Io2kGLqfKwMYWsskimlZny/ZONm9u45lHzxNfydE1EGmkMhaqzC2mee/7d9J6jfQ2mjI1QmE3yCKpVLHhbFLSMA2TrVs71vze1+/s5uVvniXsc9K/voXkSg6PU+XeR7Zz9ImLTA9HsdkUoh47fds6EUWRuZkEgxsavs6XjoyxPLmKzWnDH/FgmibZWA5RXmbzgQ2UClWicylqFZ1ctsbQrb2MvDrPwvgKCI2m5037+jn5/DDp1Sxun4vZkWWiM0nu/Zk9bD2wkfRKQ1Ntd9n48n/+FqGO0JqmuG2gmejkKotjy2zY85o22+6y4Y94kVWZfLqIZYH7WnUfCy4dGqZaqtHUHaZrqAPVrrDpjvVsumM90JCizA0vklrOIEkNGVU2lsPmVDGqdSKRCJFIo+mxq7Wb+OUM+XQBX8RHtVZjdTGO6lM4+ugJnlp5AVGUCLcF2POe7dz6MztxBRwsDEdRFYV979nNwvAilUJ1zVIxvZLl1DPn6d/Rc4MdYK2sUciUcPpu1FQLQOE7vNwlSeTOD93G0G3ryKxmcfldtA00I4piQy/+tRNkE3lUu8Lm/Ru4++fuQLUra8TV5rIhiFA3TORrYWBaRUdRlRusK6Ext+17ZBdjFydYnU5QdJcxTRPVoTbSRO0KkiSyNLbMykyM9/zG/W+QqkxfnCMXz9E51I4gCNidNgy9ztipKe768G04PG/Plq+crzB9YY5yoUJLbxOdG9to6Wui5S3ST78f+KckLqVS6SeCoAM8/PDDPPzww4yMjBCLxajX67S3t7Nx42tWnTfJ+U38qOMmQf8xwFulhDY1Nb1pSujbwXXP9P9VWJbFkcuz6IZJT3PjwR/2uZiLZXjl3AguLU1nZyfl8o2Sg+09rSyn8lycXSGZL+GwqWztaqHZ4+Lb58YZX0nSGfLS5HOxbC/gc9r56N278Dnt1E2T6eU0frcDSRTx2lU8doV8VWMlXUB2KJQ1naGeJk7F5phcTZGvGjgcBnXTJOB3smdjB/WaydxMkicPXgVZYMdQBw67QtDtYDqWplipcf7VOfKFKm6XjXShwko0hySLtLd7mY9nyZVrZIoV+puC+Gx22tv9LMfyrCbyjWRQ3WLrYCsP37uZC8NLnJyaYTGZR5VFXBEnQbcDWRbRZFi3tY0TBycRBYH29gDaUgqnQyWbKZNYzaPJsKm/mXi6SCxVpC5aOBwqdodCrapTrRo46grbNrUSXcpw5vw8nV1BwkEX6WyZjKHxwHu2EQq6KKRLfO0vD3Pl3DySJJJbztLSG2Ld7h4ymRKpRHGNoLs8NvwhF/GVLB3tfjweO+lUEdmCOw6sIxsv8LWXx6jXLbr7Qqzf1c3syDJaRcfpsXHL3dvIpUosjq8iKxIun4NSrsz4mVk6NnfckAK5NBnD7rQhKDKFXAWbXQFBIBPL0t4T5qXHL5KK5REEgWQqyZbdvTz00f0sTaximhZd61tJRNMc+eYZrHqdtCrT3NtErVJj5PQM7/rofiIdDa1wMpq+5uP+WoVJEBo+7nWjTilfIZfI4/I66N/eQ9tAM8tTMVp6Iug1nWqxRv+OHp763AskFlIAKDaZrXdt4p6f37+2aAGQFIlcPI9lWWsNjqVCmVKuQilTuuHe8ATd3PWzt3P4H0+QjuYQBYHBLf2kMkmqSY3u/i6qlRqZlSzHHz3HLR/cQnCbC8/6XpwuF/WSycpzMUJtAXTdQFEUgq1+FkeXic8nbiDodreNUFuAxbHomqZaq2ogNNJHH/9/nyWbyNO1oY3t924h2OKnqSt8Q0rq8nSMb3/+ILVKjUCLn2qpyoknzuL0OnjHB/etHdezqYPmniaWxpcJtvjRNYNipsjed+96UweV7qEO7vqlW4lPpFEFG4EWPxdeuowoSwRbGt/NarHK9MV5liZW3qBjr+v1N2jmJbmhmc+ni+RTRXwR7w2NtN+J+EKSx/7vb7M6HceyLFSnyq77tnDfR++84e/7/cZbSVwsy6JcLv/EuJbouo4gCAwNDTE0NLT2+vXeq+vPxJ+U6/Hdwvwh2Cz+oMf/ScBNgv4jjteT8+tBDefPn8ftdjM0NPS2fYC/E99rBd2om6QKZdyvq4BJokjdMBiZnOGX33OAarVKqXQjCVFkiffs2cgtgx3Es0UujS0zOrbKmfPzxApFBvuartkoQmfYx1wiSzSdx+e0IwoCboeN1XShMZYk0eJSG24ksoRDkejyebEJEhWxTj5TgbpJ3TLxeRx0DYYR6nDu8iKWZZEvVqlWDS6bUXZu60RRJBRRYnY+RSZbpqsjQLGi4cwpaDWDRKxIR2+IgN1O/2CI7YNtXJlaZXQyhmWa2H0qsgF102JdX4R13WFOn5jm4miUnr4IFbPeCHwp1nCGnXR1B0lkSyiiRLFUw+lUcbps+L1OsvkylarG4kqGTVva6WoNcH5sCewS1VS54UoiNRJYQ90uNu72kl0ucOLVOTSjTmG1QN/GFpra/cwtpIglC7S3+Xnu+WHiy1ncQRei0FD5rswk8Tc1ouFtdoWVlRzRaAbLsujZ0EIuXSJ6LXHUJknsuHM9lWKVU6fnsTtVBEHgzLFp1m9u48Pv3EwpXyHY7MUTcPGlzz5LuNVHOlPGNBtWgKlohsxqjq6HXpNRONw2REmgozNCYiVHpVRDEKBnfSu5dInpi/P4Ag5cATcur8r8eJItOwe564ONUJ+6Ueex/+dZViaWGymglkVqKU1zfzOZSMNz3zRNsCDQ4qe1L8LslaVGJVgSiS+k8AbdZON5vvbZJynnKo3GzT0DvOvX7+PE42dYGF3G6XWw9+EdJBfSxBeSdG1oR5REitkSlw8NM7Cjh75tr4nF9aqO0++klC2RTzcq04Io4PA6EN+EiK3b3U9bfwsrMzFEScLptfNX//+/x6zB6KuTaNfcbrSCTrO7lYGdvWv32fLcKkiQTmbJl/LXpDgCpWKZ+dkFYitxJCQ613XQNdTO7T+1hyf/x/MsjESRFAnTqBNqD3L5yChGTcPmtLE0vsL8SJQPfOphPMEbG9Anz81QyBTpul6pdtnQawaXD49y+/v2rBFZh8fBQ79yD8efOEt0fBnVrnD7+/auyW6KmRIzl+bRNYPO9W00dYfxtXjo29RDR0cHq7NxTn/7AsHgaw4uNpcNQzMopm+cX6ARIuVw20mvZAm2+jE0g/RKFl/Ywzf/6CmqpRqua0FHO+/b8oY51LIsjnz9JNHJVTrXtSIpEoV0kbPPXaJ/Ry+Du75/mvPvxFtV0CuVCpZl/cRU0N/KJvi67/nLL7/Mn/7pn/Lkk0/elLrcxI8sbhL0H2GYpomu6zekhF68eBFBEP7JlNC3g+9Vgy5LIh1hL1dmYwTcDV/mSrVKvlBg0/bNBENhnjtxkTNjCxyP1tjU3cS+Dd04bQqCINAW9DIyucr5kSX8bnsjzCeRZXIqTsjnxHe9smZZa5X+TKlCe7OXmZUUy8kcgmmQKeoMdbfzyO3rmVhKc35qhWKlRlGoo/psqHWBzo4Q3T0RMlqV01cWkCWRlrCHugjL6QLpbIlEqkg47KZumbhtDmq6wWw8Q02vY0kChmmiVTTi6SIbuiPsWt/G4fOzZCs1Opp9CDTcZ8J+Nw/ftpHxq1Gef/Iy84tpKhWdWqaKv9tHzjQwsVhaySK5ZPpbg3Q2+wmH3MwvpPB47PS2B0nYFVZNgT3buunuCPLCS8OMz8RpbvEimVAp1qjVdHx+J+/56d2cPX2ZxdksoiLiUEXKxRrjl5Zwel7T6JZKNUYuLaI6FGSnQjJebNgsVnXmp+LsPLCOclnj6NFJqhUNC7CpMut3dSMDtYpOe3cQSRL56p8dpFqsEWzx0tbfjNvjY24qwfZ9fWwYbIQPVUo1LNPC53ciqzLpVJFyuXateTJET1+E1cU0AIM7erl0ZJxsPE+42UMxJ+Pz2dl51wZe+NppSpkiMUVGlETUgEKkt41sqgg03mt+OEp6OYPdbccVcCGKIqVcmej4Mjvu2cSlVyeZuryIodfpXt/KLQ/toFrSWJ1NNJxeIl4Gd/dy6ZURLAu8QTdG3eT8S1fwhd28/5MPUylUkVWZum7wxd/9KoHmRooogNvvIhXNEJtL3EDQ/c0+WnubSK9mkZVGyIokS1gWGLrBtz9/kMRiiuaeCDvv3UJTdxh3wMXgrsbOWDKappAskY0WsDvt2Bwq1XKNfCLG3NVFBnf14XA4cDgchEIhlu6KcfHlq3hVD5ZgkYym8UW8XDo4Sj6Zx6jXkRSJgT3d7H7XVm7/yE6Wrq5iVE16NnUyeXaW0tQqnRsaEhmzbrI4tsz4mWl237/thjnAqBkICDfMQ5IioVd1aqUaxWwJl9eJy+9sOMn8/965dg2vy18WRqM88afPkVxKYVrg9jk58KFbsXWIa6TLF/Hi9jvJpwpEnA2rx1K2jM2hEmh5o1Vj+2AL+z+4l1e/dYbF0WVEScDldVLKNZx5As0+8qkih/7hVXxhzxuaPGtljfnhJQJNXqRrkhxP0E16NUt0cuUHTtDfLHynUmn0ivwkEHRd1zl06BCxWKyRyeDz4Xa7cTqdOBwOIpEI58+fZ35+HnhjqNVNgImA+QN2WflBj/+TgJsE/UcUb5YSOjIy8rZSQt8OvleCLggCd23rZymZY2Y1jSRAKpNlfXuYe/du5aWLkzx/aQ6tVqWuFJiNpVlK5vm5u7YjiSKmaXFmdBGnXSHoc2JZEAm6WI7nWYnncLttLKXyhDxOOoI+jo3NcXZ2mXy5imAXyVaquGWRVp+dHb1tjIzHODm5RHPES2vIQ8UyyBarYIr0D4SwOWwk42V0zURxKERzBap1A0GEQkVjIZalKtQZbA3R5fVw6OgERqqK1+9AkhpNrOv6mvipuzYzOrLCV795jvmVLMGgE7/dRjDkoi3sZTVVYCGa5pWDDelHpNlLLFmgUtKRogU6NzczE03jdChs6WnGLSucujSPN+xCXskyP59CkkRMy+LWPX2s72vi4KExorEsmBapTBlnyMmmbe1UNZ1Qi4eNWzt44tFX8Xg9uCWJldUcDreNYqbC3HScSHsAt0vl5VcnSWRK1MoanqALr9+BVm3szvT0Rdh9Sw9PPXqeSkmjvTuIL+Ihly2zFMvz3vfuwOdzkIhm+Js/eIbliRgOt8pCukhyKcPmd6xHqxmUr8W763odxSbTtb6ZKyemaeuJEAi5SK7kECMetu/p4akvHScezVyzPQxwx3t3M3x8gtRqDn/Yza57NpFcylDOlnH4nHh8TrSqRmIxhcPtwf663ZtsIo9qU/A3KeQzJUShkRopigKVUo0Tz13F6bEhSSIXjkzQs7GFD3zyIVZnExiaQetAM6eeucDspXn0qo5ZN/GEPPibfUycmWHbnUNrcgxdFLA5VMqFytr7X7+XJEVi8twsmdUsTq+D3q1d3PrIbl78uyPoVR1BEtA1g76tXZx86hy5RB6nx8HiWJS5Kwu8/5MPE+kMrY0baPGj1wy0ik6g2Y8gCIhVHVEWSSym3nhP/uzt2F0q46dnMOsmO+/dSjaWJ7WcYf32deQTBYr5IomxLPoddXxtHmSfSKlUolDLMD06gySKZDIZFFVFVRQsrDfo0gE6N7ah2GXyqQKeoBtDMygki3RubOcr/+ej5JIFbE6VrXcOcftP3YKsyDdIWup1kxf/9jCJpRRtAy2IkkgqmubwP57glp/dRGtro3nV4bZzy0M7eOWrx1kYja4VK7bfvelN9eCCIHDbe29h3e5+lqdWsblsnHv+Mkvjy2syn4jTxuJYlImzM28g6JIiNdxwitW11yzLAsuinK9w/sXLKKpCz5bON+wqfK94qwp6qVRq7FL8mPp+W5aFIAjMzMzw6U9/mm984xv/7O+8+93v/iGc2U3cxA8ONwn6jyCu2yleJ+fXU0KTyeTbSgl9O/h+uLgMtof5+IN7OTuxyNWxSXZs7uD9992OUTc5Pb6Ex64iKBZtIS/lms7oYpy5WIb+1hCmZaHr9bVwIkGA7kiAdLZMKl9GTWQJeZzs6W1nIprg2Ng8brvKQHOQkl8jmi6wMeTlyulpXnh5hHS+TKZYxew1Wb+hmRafh2JNJ5fViaYLKA6NgZYQ0ymD4fkEdreMIkogCqg2iU29TfS2hkinizxxeRRNAcUUKWVriIKAN+CkZ3MTUxNxLg1HcThVVLtEPldhdHiZXXt6EOVGGE5sJUs+V8Hf5KZeBVkW0c06+WyFQLbKQHuId+5fz+xShnNzCw1LPtPEEXIwEGxCkSTaWn0Iep1vfuk4qVSRcHsAza7gcdrIZsroAtiCTvp7mzFNE8sEURIIhT1oWp1cvkKlpiNYsHd3D+OTMSZnEnQPtTJ7foFKvoquSrgUmXWb2rj7gc08+w9nGLu4iM0mkZxL0doXZmBHB9GlHNlsGZ/PwcWjExTSJXxNbiwT3A6FXKLA7JVFOja0I0sSR14YYXE+1Uh/7QjQOdjM6nyKumHi8jnYfed6rp6eY2kqTmtXEFGRWJyOY1nws//hYWoVDbuzIXn5wv/+TZo6A+SzVUqFKpIsUasYiFh09L2mhw40+7A7VVwBF76Qm2qpRrlQxRd2E1/MkF5JY9R0vCE3kd4mlqYTpOMF+rZ1rY1x9cgoycUU3mtNoanlNNl4jubuMFpVXyPETV0htrxjI6/843GS0TQ2h0omliPQ4mNhNMrxx85gGHUEAVr7mrn/Y3fia3qYsZNT6DWNvu09RCdWWBiN0j3U0dC/mxbzI0tcPTbGXR++fe2cJEnE1+yhnKlSzpexrsXMu7yBtdTRbDyPw2XH5XficNu5++f2c/tP7aFumNSqGl/7r49j6Abnnr9Eraw1EkxNSE9vYdf+hszEsiyq1SorJ1NMnZvDMOpUq3mqlSrpVI6RK6OMfXocvWTQtbGDnfdupWdrF3se2sH5Fy+TjeWRJJFwZ4j0SgZRFPE3eakUq7z66GlcXge7H9h+w/yRWkoTm0sQag+uNXqG2oMsji2TmEsj3vJaVXTHPZvxR7xMnZ9Frxn0bO5k3Z7+xk5JtsylV0ZYmljGF/ay9cBGWvubCXcECV/rOzjz7Qtr1fDrEEQRvaq9YV5TVJmtdw5x6CvHSEsidqdKeiVL3TC5fGiY8y/WAYFwR5B3/eo9a7sN3w+8lQb9uoPL97Jr+q8ZgiCQzWb5/d//fZ5++mk+9alPcfHiRUZGRjhw4ACFQoF8Pk8ikSAajZLP52lr++dTaX9SUbcE6j9gF5cf9Pg/CbhJ0H/EYFkWmqZ9TymhbweSJK25wrwdxDIFFmJZ7DaFdR1hbErjq9UR9pJc0mnb3Mbu3bsbYRKJLBVNx+1QKRUaVSiHKlPTDbKlxv9lSWRjbzNHLszgddlRZBFDr9MV9nH/HRvxee1cHI3y7LExVnNFqqbBHTt6EQQBt92G16Fx5vISqXiZofVh7A6FoqaxtJQhEHDS0uKlVNHQSyVcNpn+5jCyKVAUDaqGjlgCUzQRLQg1eejvCjE8vEosXaRmGJg2Adml0tnkIxx2g13AACZnEgR8ThS7hCuvUhZ1isUasVgBSxVoDXtw2BVSxTJZQ2tIIGQR0TAxRYHmJi87t3YyO53k5Pk5urqDDZcUYD6aQfXYeOjOjRx5fpjDz11laSmLaVnUclVsIRfFZqjUdJZjOfbs6WV9dwRJEom0OIkvVwgEvXR3BlhZFvE5bTz0wBZmhld45chEwxrQbaNpoIliLE8+X6GzK8gjH97H6MUFEqtZPEEniipj1S2WpxO4g05Uhw1ZFhmfWOXs8Slqeh1vwEU2WaRUqGLodXKJIvf+dDsXzswSXUjj9TspFmtcPL/Arn293P7AFqoVjebOILNXo5x+5iKmrrM6HqWlv4m2gRZiS2mSqznargUNmaaJ3W3DWVTxhdykYgU0zcDukBna1UkpW2b87CwA7f1NrN/Tz9Vj4w0JiWni8TtYt6uXo4+fw9AM7E6VzHKaxGKKpoE2qpXXyFkxUyKzkkV1qEiS2JBgCJBZyaJrBk/+5UFS0QwAkY4g+961nXf8zD6uHB5Dq2j0beumpTfCmWcv4fTaUQwTxSazNLnCxZeHuecj+29I7rxyeBSnx/FahLkooDpUkkvpN9x73TvaqaRqBJsDKDYZQRTJxLK4fE7+/j99k9RypuGgcsd67vjAPlS7gs1pWxvXrJvMXJpHFEW8YQ9m3SQVTXPh4BXu+rnbkRUZQRBwOBwceP/t5GMl8vECsioj1GS6+zspRqvouo6kCJz+9gVGzoyx/ZGN+Nf72BPZSiVdIxDxk1rIcvHFYXo3NxY+Drcdvapz+fAou+7fdgPBVOwKoiw2mjqvwaybCALUqhrjJ6ZZ9SXp3tyBL+ylb1v3DfIhgEqhwj/+tyeYvTSPpEgYWp3Lr4zwgX/3ML1bXlt8DezoZX4kSrVUxe6yU8qXMesmPa875vW4/aduwagZXD48QilXIdDqJxvLY3fbCbb6sUyLpclVXvnqcX72M+//vjWOvpXN4o+zg8v1QtShQ4e4dOkSf/7nf84v/uIv8oUvfIEnnniCr3zlK2vHplIpfud3fodKpcKf/dmfAbypJOgmbuJHATe/uT9CeLMgolgs9l2nhL4dvN0KumVZHDw/xYvnJimUa4iiSFezn194506aAx7GxsYoFArs27dvrfIT8jjxOGxkC0Xka/rxQqWGw6YQ8bpIF8ucHF9kOpNBs0zGFxO4bCoOm8L+7X0c2N7HXz91hqmlBM1BD/aqTGy1wJWxFfZu70YUBSwsUokSNlVEFAVMwcJmV8hlK0RXswh2CQmB23rD7Ops4dRMkmyxynKuiOxRcCgqTX4XHqeNeCLPU09cplLV2bKpjYppUtJ1tFqdKnXCLR4WElk2NPtYqMYpaLWGLl2AumVRrRlk8mWGNrSyc6CN45fnEFSJetnA7rVTrevomsFttw5w7x3r+fYzl5mcjpPOVcgninQPROgZiOD3OoilCqSSBU4fmcRmV2jp8JNMFVElCSNXpb0/jIrIrTt66G72c/DQKIVijYoIgYiTxGqOet3C5bax/671pBIFrlxcQFFEFFVG1+rUJZGt920kkS3zzrs30tkd5rlvniPS7KNQ1kjECyiqRLWisTSbZv8Dm5icijM1GacG5LJlLFUi1OzFMk1SpsnOOwaQJZGzL15FlkSMiJfWwSYkSWRqLMa2j/RidygUMiVe+PKr5BN5vCE3hlFn9tICdb2OK+zHNC3ymRKZZBGHU2XL7YMc/OpJJFmipcNPNp5H7fVjdyo89rmDDZnJNe3yvge30D3UztSFOWxOlY37Bpm9soCh6Ti8Ttw+J5ZlkZhP4vC5CEReazqsVTRsTpVwR5BStkwhW0IUBRxeO7lEnlrNIBDxIqkysYUUJ5+5yLt//R52378draLh9Dk49A+vsjy5Qq2soesGsizh9DmZuTjP3T93xw3ktLWvicXRKJZprZForaLhCbo5/PUTzF9dwht0M3THOvpu6cDMw9LoKqVcGVmR6NncyeyVBarFKoGWALWKxvHHz6I6VO54/96193G47QRa/FQKVbxhd0MfXtHWqtvxhRRt/c1rx3dv6uADn3yYkRMT5JMF2gZamDg3TSqaoaW7idXZOKpkI79YwVsPsmHD4JqPe6lUYuHYAul0BiUqoSgKqqKgGRqlfIl8Ok8lV8MTdOPyO/E3eRnc1ceFF69gWRayIpOKphuWikdmmD6yiKKo+Ju9vPOjB1i3+7UFznVcPTbO3JUFWgeaGwtLy2JxbIVXHztDz+bOtWu+7e5NLE+vMn1hDl2ro9oVtt45xNBt69bGMk2TumGiqDKKTeHeX3gHt/3ULVSKVeaHl/j2518i2NqQGQmSQLg9QGw+SWYlu1ap/17xVhKXH2cHl+s9RpcvX6atrY0PfehDAMzOzq5dC8MwsCyLUCjEH/7hH/Jv/+2/5fOf/zyf+MQnbmrQ3wQ3XVx+NHCToP+I4Do5f+WVV9iyZQvBYJB0Os3ly5fZunXrd5US+nbwdgn6fCzDc2cmEAXoaQmg101mllM8dWKUezZGWFlZYd++fajqa3pgl11l/+YeHn/1ColcFV1pVB73begi5HXy5cMXmVlN43PaibR6yBeq7Ohr485tfXS3BJhdSbMQy9De5MeuyrRYHlLFMqupAqlsCcUuU9Z0wj4X8dU0k7EUFU3HFC0sLLS6icuhsLmrifjCPM+fmqGuyKzrDCOpIkvpHJYlEA67mTwTJR4vIJkC1ZrBlWqdTTs6CXudLMZyLCcLhFN5OsM+BtrDHBImyWTLRCIeFJtIuVwjFHLxvnu2kM6UeOqFq0wsJFA8KrJSx9DrKJKEvcPLttt6OHJ4gkSiQHOLj5plIogC81MJQhE3ZU0nEvSQWM0TT+RRnCqCKDRkHZpBtaiRSxbZvruHvs4Qh49PYZkWLpdKrqATCbu5+64BnHaFcJOHiQsLPP43x9E1HcVtp+az4w97yKdLzM6nGdjYQntbAEkSsdkVCrkKbW1+VFUinSo10jE3ttDa4uW5py7htCt0DrZQS5XIJPLoJQ2v20bP+hY27+nl2185SWI+hcfnILOSJRlNM7i3H61uUqs14tUvHZugkCkRbPFRqxo43XawYH5kmVvf28bqUoaXH79IMV9Ftct09Ue47d07GD01TbVco3NdK3K4zuS5BSq5Gr6QG1/ESzqe59yhUT70Ow9yy4OvNTOee+EKkbYAlapBLl1qtDUJAh63jdDrGgwDLT5aepuYu7pI75ZOtJpOpVBFq+kUMmVSyxmmz0wjKRLNvU3EBUgupWnta1preIzNJUitZPFFvDh9DnTNILmUbqSBjkQbziyiSMeGNrbfvZmZS/PMjyyhOlS0ikaoPcjy5ArJaAZ3wElqOc38aJTWXUHe82/eSWYxTzaeJ9DsJ76Q4ODfH6N7U0Mi4/Q6qBt1rhwdY++7d62FOgEM3b6eU09fQBAssCDY4scddGEaJrVSjeFj41iWRddQO96Q5wavb0M3uPzKCKZpcvHgVUq5CoII1VKNQ185zo57thDsfI2cOjUPuelvY5ccqHaZcrFCKpZBo8Yff+IvqNfquHxONt6xjj0Pbee2D+zCrNeZubhArVyjfbCFXKpAvmDQtbkTm93G6kycl798jM4N7W8IJkoupbBMa+3zCoKAN+RiZSZG3agjX9vpc7jtPPKbD7A4tkwhVSTQ4qNtsKXhZmXUOf3MBc49f4lyoUrvlk72f3AfLb1NOL0OnF4HsbkEgtBYSF2X4xiagazKKPbv32P2rSQupVLpx5agX0c6nSYSiaztEmuatrZrcP2a1Ot1mpubURSFhYUF4DWCfxM38aOGmwT9RwDfmRJqmuYNKaHNzc3//CDfJd4uQZ+KpihXNXpaAgiCgCpLhLxOrk4vE7HSHLh935s+OO4Y6kGlzsunL9Pd04Zkglky+LtnzjKeSLGhp6G1BlhW8+SNGu0RH4IgYBgmddNa06f7XHY6Q36ml5MsZ/I0h7xs7Wwhg53J2RhGvobbpVKtabjcNvrXRdjR1cLhU9PMLSbJVup4PHaCDjthj5NcpcpyqsDwlSjZWIGmFi9OSWZxNUs+W2E1mqV3XYRyUaenI8C+9V2sxgp84+Bl0loN1a5QyDYaBO2qTHt/EF2rc+r8HHa7gtutousmpiKyfqCJpiYv8WIZAYGlaAbRJlEXrIaDimaglQ1mZpNE2nxs6I8wPBknX9aQdKMhA1Al3KqEXZY4cGADHR0Bnnr0PLHVHN39EZwhF5Gwg3JVR8Ni99YOjr8wzIvfPE+tXEOUJaqZMhSrVB1qQ6LitrFvZzf5bJmUVmdwSzvHXxghmyridtrQSxqtm9rYvruH5x87z9xEHKdTRZJFQr0R/O1+0qs5tt8xyG33b+HMwRG0soY37Ea1KbhkiWw8x+zVKNvfsZ6VaJax4SjjJ6bIpIq0dIchXaJUrDaIjizSs76Z80cnEAWBtu4AWq3O5NUoe+7eyC985r3UKhpOr4Ov/vljjBweR6Bx7zg9Dvp29pJPl0itZHF6Wta+h809EeaGF+nd2EYxX8HU6+QSeTbfPsiFl4eZODODZVoM7u7lHT99K4V0kWQ0DVbDK3zdlj5OPXMBURBw+V0YmsHspTkiPU1v8NqulXVkRUKv6YiigKEbiJJAMprh2S8cRNcMsODy4RFuf98ePvCpd3Pl6CipaIam7jCKTeboN0/hDjjJJQogNBJaZ84Uue8D8g0V5NXZGIJ4o4OKfM1BRa9qZFayyKpEoMXPul29DOzoZnWu4YUuCALJpTQtvU088z9fJLOaA8Df5OOdHz3A+j0DrxtTpqk7zJWjo1QKVXwRb6PqL0B6JcOVI6Pse/eutePX3dLPzvu2cfXoKKV0GUkS6R7spFKo4Iw4sbsVMokcF58fRlAtQn0+gjtd+DasR1Vs1Ksmh//mFJ5mF4LYmKeausKszsZZnY3fIFsB8IW9gIVZN9ccdcq5CqH2YCNAKZanpS/C1gNDeIJueja/MdTt+ONneOFvDqPaFFSHwoWDV1mdifOL//VDa02gvVs6aeoKE51YJdjmp67XycTy7Hznlmvn8P3BW0lcKpXKj63E5TpUVcVms63tIthsNmKxGIlEYi3MS5IkisUi4+Pj/8sZID8JMBF+8EmiN11cvmfcJOg/AjAMY00PLkkS1WqVK1eu0NPT87+UEvp28HYJuiyJfGd9oqbpFAo5tm7Zjc/nYz6WIZYt4nPa6W8LIksSgiCwvj1MsdtPomZx4vIculEnX65RqNWIuJ20XIv4dttVilWdsqbjkyVaw14CHjsryTztkcYxVt1iW28b7797C7PLGYanV1mKp6kpFjajTqWs4bArbN7QTFWq89zRcQQLWkIOrIJOqaQzMRlnzy3d9IYCaFUDI1vB57ajShLFmoYkiVTrOtGlDKJboafVz7tv28ipkUUmFhKYAoiqiCRLBN12etqDVKsayxNJ/u7IYQzTZHColaDXSSxbQtfqJHNlBLdC2O/EbpOJ5YrU9Dp2p4IlCaiqjF6pEwm52b+rj+WlLFfGVoh0BcgsZrAqBjXdQBcE7rx7Iy3NXp75xlnmZhLUTYuJi0ukY3l87TKSqFAq1TD0OqcPjSEpIk3tAZKJAu6Ak1K2jKrV6esOc/eB9Vw8PcfSUgbDMPG4bfRtaSe9kqVSrtHRG+bW+zZy8uUxkotpHE4FX8iFrhmkE0W6NrcxuG+Ahx/eiqrKxBbSBCIenIZJMpajUtao1Qwsw6C1K8Dp41OIgkhTV4j5C3Mk43m6+psQ6hbxpRTrdnSTiGYYOTqGIonMOhQ6N7Tj9LmYGVlm1/5GpLppmowfm6VarOJv9qEoMsVsifGTk/Tv7sc0LYZPTZNNFPAG3Qzu7mH6whyJhSQ2p0qtrNG1oZVyvsJLf3cMm6OhNV8cX2brgY384n/9GabOz1Era3RuaGX2yiKnnj6PZFOQFBlJkSnmypRzjV2A18MbchFsaVgvVkpVbA4VSZHRazqyTWkkdV5zlzn/wmXe/8mHb2gIPfnUOZJLaeauLGJo1/pDBAFXuOEvbugGgigiSSLtg62oNoV8soAn5KZu1Mkm8vRu6eTxP32O+EIKSRYboT8/ezuP/NYDPPtXLxOfTyKKIut295GJ5SjlynSsazTbrc7Geenvjjau++vcVnbct4XnvnioEeKUKzesMyM+ZFlkdSZ+wzWQZIl3fvQAm/dvILmUxuVzMnZqkomz0/jDXhZGo8QXklRLNWaPLvOuD92PJVhrEpnpy3NohoaoKcTjcSRJwjIaFq6TV6dZnIriC3gZ2N6Ly+9k6I71nHvhMotjy7h8TqrlGmbdIhPPcezR0yiqzJUjo4yfmuaD//7db3Bd0ao6Z5+7hM2hrrnneIJuopOrjJ2a4pYHtwMNL/eHf/0+XvnH46zMxJFkkd0PbOXAz9z2z86h3w3+KYnLjytBv77IHBoa4s///M957LHH+OAHP8jGjRv527/9Wz73uc/x8Y9/HAC3282f/dmfceHCBX7rt37rX/K0b+ImvmfcJOj/ylGv19fI+fXKyeTkJE1NTfT3v1Fz+f3C2yXoG7ubCLgdLCZyNPndVKo1llaTHNjaQ2d7G9969Sqnx5eoaDqyJLKuI8KH79yG12lHFEVW0xXOzxXwe+x4XHYyhQpXZlYYn4oTCXuQJJF0sUJXxI/LpnBhdpmz01FKQp1ksUyhUsOuyIR8Lh7ZvwlMODU8j6pINAfdzHllJJuMxw7hoEBFSxGL6WhJg64WP8mKjiyLoAgkMyUWVrKYMmzvbcVwVDl8fJIqdRRJBlloOG+0+bnrlgFEw+TFl0e5PLVCZ2eQQNhFoaY15CamiSSLXD06C5U6giVQLWlMXIrSt6WN5oCbhXKaclWnI+xlfUeYs6NLyG4VI1lGsQRMUSCfL7N+XROP3L+Flw+NMzq+SjJbwmVXcbf6UCwLTasTaPNx9yPbeOIrp9BqBu3dIVZjeVwOhdRqHmxObF6FpoiHsxcWmJ1NYlkWDrcNm6MRtKRVdQTT4q57N7A4n2ZybJWO7hCqKpNMFChY8J5fuA2XU8XlsfHi189w9LFzmEadugXFWJ5QT4hCoUo+U+au+zahXpMWNHUGiJ/M0N4fweO1UyxUSQtw2z0bmR9dYeLULA67TLDFR8/WLmYuzbM4voLP76S1N8zm2wd56otHqOSr2Ju9jWt5Zpr2je24NrSj1XRWFzOszMTJx4r4mz1oFR0sUB0quUQeVZU4/8oo0enEmq67pTvEO3/pAHNXFhvNoV1hOje08sznX8aoadR1HYfbji/iYeLsLDvu2cSud25d+/5PX5wn0OQDSaScbzQ4u3wOQtcSLTOxHHW9TqDVz4Z9g1w5OobNodDmbaZSrJFcSoEgMH5qikqhAgg4PHaaukJk4zlael+zCZRVmfS1hk/ftXCl1HKGfFzn+LfOkl8tIEkS6/b0s+XARnY/sI3zL10hG88hiAItPU0U0kVK2QrhziB1o87IiQkEUeDhX7+Pj/23nyU+n0RSJEq5Ml/9v75FU1d4rfLc3BNheWqV5anVG6wHO9e3sen2dUycncETcOPwOvCFPCxPryLKIke+foJsPE9zT4TNd2zA5XfSsa6VjnUNm8SRExMICAwfnyC5lEK1qehVnbGTkzz/16/w8K/fh6qqBAIBWppbWDi1wrnDl+jZ0NXoGVhJIkgiR79xklqlYT0baPVx6wd30rmunTs/uo/RI1OsTMXp2thOuVBheWqV7k0NDXrdqLM4FmX42Dj73vNatR+gVq5RLdWwu19LFZVkCQEo5cqNe0YUUFSZ1v5mfubTj5CN51FU+ftusQj/tM3ijytBv/7cO3DgAH/8x3/Mpz71KbZs2cL73/9+/vIv/5Lf//3f59FHH2VgYIDh4WEmJyfZt28fO3bsuOH3b+I1WD8EH3TrZgX9e8ZNgv6vGG+WEnq9UvK9pIS+HbzdJNHmgIcP3b2NJ4+PEM8UKRZy7Bxo4SMP3sbVuVVeHV7A77bTGvRQ0w2uzsU4cmWWh/duRBRFMoUaNd2izdUgHD6XnUjATSJbYnwhgWKX8LvsvGNTD8OLcZ4+N4YiSTQF3dSxkCzYv76HcqbCM89eZjGeRZMsdmztom4aeB0ymUoVVbWzpbOT1WyeDsliLpliKpaiYhhgWWi6haVDtVJiqLeJiNPOVTOPbpqI5TrYRaia2JwKm7a1U06XOXF6lkK5RjJVpJKr0TsQoaPJy0IySyZXYXx4GbNs0N8boVCsoVsmda1ObD7N4K4O6mEfd98+iKrKvHh4nJG5OIokoHgU6kZjceQJOdl5ay8nj00xPR6jpdVLzTKxKzLlUo2BHZ1YqkAk6KZYqjE1m0A3TWwOBVmRKFd1ymUNISWwd1Njt+XiyBLOgJPcSg7dLiOqEiGfA4cq89D7d1LJlHnhH05R1+sUoll6NrURafIwP58inS7R1hHg6slpTj57BVEExW0DC8r5ElrOidOpsnt3Nx6HwqnDE5imRUtvhPnxVZam4tidKlqpxsDmdjx+F4eeuky5WMN028nG8gRbfazfvxGbBLtu7Wfdzh7OvHAVTAtPyI1pWrh8DjKxPCtTcW555xZefOwC8ZUspVSRQrZGpC2AJ9BoOsUCj99JqM3PzNUl3J5GoI837CE6kyAezXL3z75W6Rw9Ocn4yQn0mr52j/mbffhbAhQzZSKdVqN3QJVpG2jG6XPgCboRJYm6USe9nKFnSycv/M0rzF1dxDRMmnoi7P/gXu780G2cfuYCqZUsDredrXdv4uST58ACf5MXLIv0arYxvu1Gu1Sb04asypimRSlXwjItHF4HhXSe889doWeoE83UefWx05TzFe7+yB2s3ztAfD6Bw23H0Aye++IhXH4nMxfnKF4L8xk5PsEd799LoNlH67WG0KWJlYaDimGiXOOmdcNcq/5ffmUEs27Svq6VSGeIOz90O+lrjjaiKLA8vYrL52TizDTFTHktiXT05CQf/NS7cflfk731beni/AuXSS6lcfsbJLNerxNo9nH5lYbcJ3BtN01WZB78lXuIrkbRKzqSJNO3uYfUcoZAsw9v2EOlUGH68jzTry7SPtCKoWi07QsR3ulBVVUO/cUpUBqkVlEUFKWx+xGbT7xhfnP5nTR1hZm9soDb37AxLBcqmJbF5LkZLrx0FUWV2Lx/A7e+9xZsDpXgtcXZDwL/nM3ijzN6e3v50z/9U86fP4/NZsPhcPDv/t2/4w/+4A+4dOkSV69exeVy0dnZye/93u+xceNGgB/oc/ImbuIHiZsE/V8prqeEXg9osCyLS5cuNVI229p+4JPO9bCPt4Otfa0MtAZ58chxPM5m7rx9D6IoMr2SwjBNfK5GU49dVfA4VK7MxdYIuioLiMK14BpFQhQFQm4nDkVh78ZOnKqCUatzaWSZy0uriDaRnvZGQ6zfZWdyJcXps3MklnM47Ar5fIVcocqkotC/PkKTQ8GoCyiqjVrdZFNXG50eD19ZOk8mWcBpV5AliYpVRw1I7BgIMTK2wtHEJJmyRk0xES0L2RQINjvxt3so6BozY6u43XZCYTc1y6RW0VmcT7Onw0/Y6aTF68ZfhTNWmqVEnrppgShgWBbZTJliWWPvjm5aw16ePjSMosiEg06qNQNNEOlsD9DZGWBhPsmZbw8zPbLasNhMe3E2uSnpOpWawexckv6NzQx0hTk/uUzFqFOvGYiKhKCK+F02VAT6N/rob/fz7OMXyaRL+Jt8aMUatXyNWs0An4Pb7tmILIm8+I1z1CoaiiKTXslRzlfYemBdIxpegEKhyqsvDFMq1Qi1+knF8siKhCxLVFIF9jy4FZ/PxTPfOHfNqlBAUSTW3dIPmkZqNU9rT4ihW3p59C8OoRfKmJqJEnTh9NpJrmRp8Tq4/wO3MLSlA4ByoYLLYyPkcRCLZikVGoFHHr8DrWawNBMn0uSjrSPIxMlhktEs63d2E2nzE19ME2j2kVrOMnNmGgELURLxNfloGWhldS55w/d5+uIclWIVp9eBw91orkwsprA5bRQyJZ783EtkYlmCLX627N/Azvu2cvHlq+hVHRDoXN+KWTe5enSMcEfDw3txNMqLf3OYD336EXbet4X0ShZv2EN8PsmZZy5gmRa1cg3LoiGVkQRKufJacA6AL+yhuTuMZdFocFRlTMMkn84TaPKSTeTRqjqyIjJ2apLt92y6oVI9/Oo4pVyFueEltLKGbJPJJQqkV7LMjyxRzBQRRJHmngitfU20D7Yyc2mOSEcYQYDEUhpvyM2xb55qaOABd8DF/g/sZeudQ1iWxelnLpBezbL9rs1UyzVmL83TNdSOIDakO/NXFxl+dZw979qx9rk27Bugc0Mb88NLlAsVZFki2Oon0hkmG89SSBfxhj0IQmNeCrb6ueWnt7BpcAuqqjJ9YZZDX3kVT8jN/PASS+PLVIo1EvMputd1ce//th9RFNF1nVKpxHjfPJNnZimVSmvywUwsx/SEjS/8H3+HJEoM7uxj173bcLqd3Pnh20kvZ1gYXUYQuDYfw+JItOGAU6rxyj+eoFKq8eAv3/1dz7VvF6ZpYlnWW9os/rg3iQqCwN13383ddzeuca1W45FHHmFwcJDnnnuOWCxGS0sLP/dzP0dT0xsDqm7iNZjWD0GDftMH/XvGTYL+rxBvlRJaLpe/724tb4XvrKCbpsWZsUXOjC1Sqels6Wtl/9ZeXA4Vy7IYHxuh2efglltuWTtnWZLgOxTqddPCJjd+XtPrGKKF3aEwsZBoVMXrJlWtzn371nHXzgH+9ukzTC+lEUWYj2dxOhWafW68bjuCIFAt1liZz9HdEsDpVDElKNZ0otEsTo+FaUJnU5g7tvTQ0eTl9GiUkfFV0paGKQlUqnWcdpGenjC2gML8ik5ZV9k61EcsU2B6JQ2GSWunB59bZDGdxpjJshqtYPOoaBZoholu1anmdSZmE7S2erl79wAnjk9RrumoLhmbIjcavCqweUs7731wG5MjK/zt548SSxbo6Y/gjzhY0UsgwnKigOySWTkbRdEbUpRKRSO1kidoQcfGZhaqabrb/dyxvYfxqTiXrizR3BUgPp1CL9TQTBOtXmXPnj48IYPDL0ywspzHQqBW0nA1eekacpFKldiyvYt3fWAXX/zD56ibJpE2P+lUEaffQTFdYupKlJ7NHQiiwNNPXWJ6Kk4uV8FSZTxBF1pZw7LA63dy50Nbee6b5yhkSrR2BXF6HeQyZZaWMrzv5/cRuObr/tJXT3Lx0AimXseomxRiWQKdYXTTIhx00T/YjFlv7CR0rW/l6quTuD12vJvbKRWqJBdT7L5nI+deukp6Kc2CKOD0Omle30RiPEViKYPDqRJpD7D34R088bmXMDSDcHuQutmodFfKGutv6WXq8iILkzFM02L05BS+sBetqlPKlhvfYavhwX3muUtUSzXcASfzI1ESS2ke+Og72LhvkNh8AqfHQbAtwNf/8El0zWDq/Byi2AitiS8kWRiNsn7PAN5Qw8Ixs5Il1BZEkkWKmRKCKDQSQSWBum4wfnqKSqFKU3eY9nUtDOzqY+T4OJ6AG8tquJTIqsj8yBJaWYdroUYuv7MRGPW6BsW2gRZKuTLFTGmN+JuGiV7TeeL/fZZgawBBgKbuCHd+6DYe+pV7ePFvD7M4vgyWRc/mToqZEqVsmc4NbWhVnWQ0zbFHT9OzpZPN+zewef+GtaLCn//GX+MKuhDExoNaVmVEWWR19kZdumJTeOCX72b28kLj8zf5cHodJJZSqHaVs89d4rE/eQab08aOezaz/b5NCIJAqDWAoigsOWxYwOpcouHnLjUsQ+tGncNfO0Fzd5htd21CURT8fj93feAOsksFSukyDo8dLV/E5XaTmcuRU/LUzTqjp6c4d+wiO9+zCbfbzf6P3cLKWAL0hq/2+Reu0NrXvLbLIasyI69OcNt7d39fm0JvmDuvzcc/qRV0YE3uKcsyNltja2doaIihoaF/ydO6iZv4geAmQf9XhjdLCZ2amiKRSLBv3z4mJia+54TPt4Pv1KC/eHaCJ4+NYGEhiSKTi0kml5L82iP7mJ6afIPXOcCm7iZOji6wnMoT9DgoVXVqusGuwQ7ShTL/cPgyZxfy+HwB6opAIleirzXIrdt62b+zj1cvzTG9lKK7JYAsS5gizERTzC2k2DrUTkXTMTQTwQJLhJlYhnJNAwnyxQozSyYuj8ydA+3s29jBt14dZTlVoCPipWDorIh5lLrBUE+EfLTG5JVV9JKBzamAYKHLjQdvqVYjXxVwR3xsWd9Cv9/DVxbOki3p2G0iFgZVTUMVRLpCEHZavHpsmIuTCexulXK+hijqWKaF7FTYfUc/50/OcunCArphYpoWC1MJwiUv3evDzK1kEQQIWhLzZQNH2A0VjapmICCQSRRwNXtY19/E3bev58zZeYbHVkjlyjhtMvaIC6csUSlr+Jrd3PXQZv7qT56mVKjT1BIgXajicqkUMhWEniAd7X6Gbunm6JlpJqdiGLqJ22fH7lAxdLOR6CqL3HrHABfPz5OK5enb1M7VRB6trCG4bDS1+cirEg98aA+nXxzm4sERJBGWx5Zp7gnTv6Ob6EKGTKpEIOwmsZTm1LOXUBQJS5Xwu+3kkgVq2QKt69rYeWs/549MMHV1GVEU6FnXzOCObmauLFKvmwiCwMCObmRZZHl8BdWh4nDbKaQLVPUqnbv72XP7IO3dITrWtXL58CiiIOAJuynlKyg2GUuAar5CKVfh8BMX1haWiZU8ddOka2M7hUwRy4JKvown6L6mkZZJlSr4m/0UMyWmLs5z4IP76N7UqPYnFlPMX1kklywgKxJYkIpmcAddGHqdTCxHPlXAF/bQubGdtsGWhiZ6cwemaZFYTNHa1cSRb5xiZTqGZVnYnDZ23ruZR37rfkKtfkaOTyAIAne8fw/P/d0hytkK4c4QgiCQTxUoZkokF1Nr1XNopKn6m3xkVrOUcxUQwO62UzfqJKMZNuxbh2VZRKdWOfz1E7zv3z7ET//ue0gvZxtFg5rO1/7gCdxBNyPHJ8isZrFopJmOn55mz0ONqvj13b1ga4Cp83NwLdDRMi3qhollmbzwt4fJJ/O0D7ayef8G2gdbuO29t3DyqXOkVjKNcCWHiijBxZeu4Al7qBSrPPfXhygVygitr2mLe7d2Ee4IcuGlqxg1A4fXgV7Taelroq7XuXJkjG13bVq7Dn3bunnfv32ICy9dIbmcYWBHD9MX57G7bQRb/BiawfJUjORIDvv9HloGmil5Stj9KqVSiclTs2QyWWwZGUVVURQFQbKoFmrkko2dBZfPuWbh+P3C9fn4rQj6dSeTH1dYlrUWOnTx4kUWFhYwDOO1/oSWFrq7u28GE70N3PRB/9HAzW/yvyK8WUro4uIic3Nz7N27F4fD8ba14d8rXk/QS1WNVy7MoCoSTYFG9bOq6YzOx3jl9BXESuoNXucA/a0hHrl1iIMXp0jmy9hVhXds6mFzVzPHhmeZXk0TdCoMdDVRbtaJ54o8dGAzO/obT/SlWBZFbkgnAFoDHhKZEgurWRxBO5IosHWgleGUwfRyCiQBh6pQE0VqMmzZ0omrUkDL1PiTvzrMcqbA4EATsiTS6nNTrGokkjnGLq5SitfweO1IdoFMqkTpskbL5gg2e0Pr7XHa2N3fhl2QmF1JY9kkpJKFbKlIkoJlk2nr9rN5oJsXD0+SyZXJ5iuYgonNAQGPjMtrx/LaKFcrjI0s4/LYsQsWJU3HNEwyiSJNnX4iHif7dvYQn02RzVWoYoIgICkSFnV03aIp4uGed25iYmyVieFl2tp9GKKFw9aweOzuDyG5VEKKzDc/9wpzl2IIgkgpUcIedlMWoFzRyKbL3LOnl2y+zMx8ipbuECsTMSyLhjY96MKpiNz/7m3MDEc5+dwwiijg9NoJd4XJrmTJruawCbDjHetxue0MnziHrIjYnTYsy2RpfBXFoeLwuxAlgSvnFzjx7GVWFlKE2vxk4gXKhSqSIlErVOkeaGJhMs701SgefyM86OzhcTbu6uZ9d24kvZrFG3TTtbGNv/r01zErVTLJHFrAjbfJR2oui2DU2XXXEG5fw21EEAUUm0xLX4TUSo5KsYrb68ThtpGK5dDLGooi4fI76dnazeWXLpFP5fE3+SimiwRa/FiWxfzVxWsEtOGt7W/xU0iVGtan6RKS3GiwLBeqCCK4/U4QBPLJAoV0kcmz07z62GkqhSoOj4NNd6znwY/fzUtfOszqbMNLe2B7D7JdYfrCHO0DzVgWVItVzj5/me5NnTz0q/fyzl+6EwCtovHyN45iAoV0CSwLxabgcNnJJvJvuK+3vGMDmViWQJMPURYxDZOJeI72Vj+T52bIxLKodpVStkx8Pklrf/NayE5yKY0ki4yfmiafLmB32aBukksWeP6vX8EyG7tl7YMttK9rZdf9W1kaX2ZpbBmHx04pU8busjF5bha9aqDaFSbOzDBzaZ6f+u2HeOCX76J7Uwcz11I/FVXh+OOnaV/finyt2Ti9nOHiwatsen/fGkH3BN088LG7mDw3SzlfRhAFmrsjNHWGrznCVEktZ6gUKoQ7QthdNnq3dtG7tWHJGJ1cYfrCPJ6Ai3yqyOiJCUq5MrWyxmOffYb3/psHb7CK7I70Ej2VwKyBYBOoVCrEZ5PUTZMv/qe/h7qAr8nLrvu3smX/RlwuF6qqfs+yxNc/F74TPwkVdEEQmJ6e5gtf+AJPP/00IyMjN/x827ZtfOITn+CDH/wgfr//X+Ykb+Imvo+4SdD/leCtUkLHxsbYvXs3Hk9jS1ySpB96BT1brFCqavhfFwJiVxVqVY2RiRn+t0fuetOHgyAI7NvYxba+VlbTBS5cXeTC+UVOnJghXiwRafVe2/62cDtsxLJFFhPZNYIe9DnRjfralrnTphJ2O2kKe7hjcx+1qk42W6YmWWSzFZx2Bb2ko2k1+tc3YSkKw1fyOBwgKyKlQo2x0VVURaYp4sYI+8kmcpSTVYJBNz6PnUS2hFUSMCoGeqaG6FJwuWxs3dhKJa9xcmKZVKFCVbGwexQkUcTlVOluCiPJIq8eW0CvweBAG2osR6FYpa7Vae4PgA3qhsFKNMrMQgzBLiJKElYdrDrolTr5fIU9e/pob/Jy7uwcNpeCoJs4fQ5KJQ3LtNiyvZOfet9OXnriMqeOT1Gt6pRW8zjbvFRqOlXdYHYhze49PSy/Okc8msHps6NrJgICtWSRno4QdlHijtsHcKsKj33rPFrVwOex4fA5qeaqVGo6YsBg120DmHWL80cmwbSQ7AqlbAVZlRi6awPpVIm7799EpCPIk391mHJFI9DkJZcuISsihlFnYXyFez+8j4mRZabH4xRzZWpVg1yuSrDVh6nXKReqyAEXW/b18cLXz4JZR8Yk3BHE7lCZn4ix+84NrN/VA8CVo2OMHh9Hr+pYCCTzcUrpRhJs38ZmVLtMdDqGKEn0bOrAF/Y00i97w2hVncRSmu5N7UyenKJWqjZ2OFSZlv4mOrf0IFsGRs2gua+JPQ9u56nPvdiQyHQEESWRUrbMynQc0zR5/m+PEl9MI0kCWCYOtw3TVCnlG0mmql3BsmD42ARtg80EW1oopIucfe4iobYAP//7HyQ+n0QQG+Tur//DP2DUdC4eHG74u3vsqE4bK9Mxerd2rVVnLcsi2OnDKos4PU4EoVG9TS9nME2Lo988SXIpTbgjyKY7NrDnXTuYODtDcjGFYlMoZEvYHCrZeA6toqE6bJRzOZJLaSbPzaw1jQKE2gP4m3xcWLmC0+tEFEVqVR2nx87s5QWe/+tDuP0ubE4be9+9k933b+OR33qAc89fJr2SZXBXP+nlNLH5JF1D7VQKVfKpAmOnphg/NcWO+7asyWQATj19HizWyDk0Kv75dBGt1JAf2Vw2FFWmfbCVd/3qPTz15y8Q6Qzh8rmoFqvUyjUK6RJ/9e++glbV8UU8HPiZW2+oqHtDHhxeO/lUkfnhpWvjqo1rLAi8+DeH6dvaTVN3GID2wVb2vXs3p54+T365BIDb5aFu1HHZ3ChOmVwsz8tfPka2lMHT4kSWZVwu1xv+fTfE/a080OEng6CvrKzwa7/2axw8eBCPx8P27dux2+1omkY2m2VycpJf/dVf5ciRI3zuc59be2bexBtxU4P+o4GbBP1fAd6MnGcymTdNCf1hVdBfvxAIuB14nTbypSqOa5rLXKFEpVJm55atuD1eDl+a4dzEEkbdZOt1fbq9UVF32BQmpmIcPD6Bw66gKjKFXJVisUZHu4JlWWv/bNeIx3wiS5U6dctkZDZGc9BNqazhcdl434HNaPU63zo5SaWqYzkFTLeEqEg4VZN1na10DLQxOrxMsWywrs9PUdPwFO1ksxXm51L4Aw4qFZ3+oIdMoiEzWU0XKWs6iI0wqJpm0Nzmoa/JTXQ1Sz5ZoSnsIeBzYggm1bKOJ+hm+/oWjn17lGq8TDFXxRQgtprD0ebGwKJWM0jmNNZtaGbfpi7iyQLqqRSSBU6PSqWmUcxX8Xok+totFicmefHpc6SyNVwuBSNXI58sYpoWqtvGPe/dzivPXmX8ahS3145hWVQKNYyFLP27u1muCwytb2Uw7Ofk+ComIKki9TrULYtaqUZiKc32OwYJBly88uIoxVwVWZFIpco4Qi46h1pIpYrs2dvPLXt6+cvff5JsPI+syFQrNVxeB/lkkeXlHDvvGMSQRA4fmSAWy5PPVxHsKv6wm1pFR5RqtHeF6N/Qyre/cQaXU6G1O0yq3U8qmkHAornVh1HT2bp/HZePTTB1drph0SiAy+tk/d4BtFqdarmGoTspZMscffQMkiSCQ8V1LSmzkCriDKkEwm6++acvklrNIooiLd0hbn3vbs4+e4n4YhpZkdi4bwCHx865F4dxB124fE60isb88BJ9u/r4yH94F3aHisNjJzq5iiAJBFv913Tp17fcReaGl1CddsJtfgyjzuJoFNOElt7ImnZd1wwyK1nqhsHCSJRyvoIv4kVSJGYvzbNh78AaGTZ0g3yqyNzVpWux8jK5ZAFDzxBfTDJ6YoJcooAn6KZ7cwe9t3SwdKphm6naVZLRNIFmP2MnJkmvNKQiw69OMHZyivf9zrv4hf/805x/8TKJxQZxP/vsBaYvLRDpCK3ZDgqSwOS5WfZ/cN8agRQEgR33bObUU+evhSTV8YTc1Io1tIpOuCOEJ+gms5rl3POX6N/ew7rd/WsBSnWjzud/5+9xB1zMXl4gOrmCVtUxtDrPfP4g6/cO3OCv3tQdRrErlLJlXNd2UjKxHDanwpXnJ5g9uILDbWfHvVvY+c6t3PLgDhZGooydmiK9mkNWJDwhN4mlFOH2IJ6Qm/RKlue+eIhIZ4i2gUZglSfoZsc9m3n5y8dIRdNIsoReMwi2BGgfaGZpYpWZy/NrBF0QBO762dvp2dzF0vgysiIxcXaGxGKK9mtjNrVFmB+J4tQ9HDhwx5qPe6lUIp1Os7i4SLVa/a6I+1s5uMB3R9Cfe+45/viP/5hz585Rq9VYv349v/RLv8QnPvGJ79qSsFqt8uUvf5kvfelLzM7OEo/H8fv97Nq1i1//9V/nPe95z3c13j+FP/qjP+LgwYN88pOfZP/+/XR0dOByuTAMg2QyycWLF3n00Uf5yle+wp49e/iN3/iNmw4uN/EjjZsE/V8Y35kSKggCxWKR8+fPs379+jekhEqStNYo84PE6yvoTrvKPbsGeOzIVeZXM4BFNptjx2A7t27fwFMnRnj5wjTqtaCVp06MspjI8UsP7kYSRXSjzomLc9htMpHryXsdQcbnEsTSJq2VGrmyjs9lZ6irmdOTS7xwcZJyVUPyNKq1uXKVTT0tbOyMUK/WeeHMOEa9Tl97kHJNp6QbpNJ5ursCDG7oZj6ZxS7KiCLMpbIUqxqGYGIKFrF0gVimRHvYS3unm2/PFUnGi4SbPIiigF7RwS6xYXsbfruNc6fn0YsGWs1A7wvTt76JJp+bRS3HSipP5XCB3FKezvYgtXqdYr5GOVbCHXBgd8hgWNy2vYcN/U1MTMV55dw0ikfFyNYo5xrNlYqscttdG+hu8/PiC8MosoIgalTMOqJHJBBQQZLwNbvJ5BNcODuDJYkoqoIoNxx3irkKsYU03QMRdm7q4OTJafLFGrIkomOi2iXcDju5usnWXd3c99BmvvY3r5JeyRHw2CkYBh6PnVy6TBmLwd09bNjUxlf/5HlmLi40HCQkEVGVkWUZ04JI2M2GjS28cnAMu02mb1M7I8kitVIV1e+ipdWL0y5x+/2bOfzYWaZPz2CzydfkIQFERSa7msPQ6+y+bxO9mzt48i8P4XTbUewKqqqQS+YZOzXNpgMbyKZKnHhplEwsz/DJaVyBRghPpVCFa4s8T8jB1KVFKnmN5s4gZt1iYWwFSZb46H/9IInFNDaHSnNPmD//jS9hVGtERzOIkog75ME0wW6TCL/OQcXpceBw2/EG3Zh1C63asD8tpIuUchVEUWDmwiwOr4NwR5DsSpbMag6bQ6FxG1kEW/0sTawiyRKK2nBQESSB/m3dJBZTJKNpVJtC+7pWDL1OXTdweh2Nay4JWDWL889fZvri/LW0ToG2wWaaNoTYun0bF18appgtseud2wCLK0fG6FjfRilXxuG1WJ1NcPnwCHd9+Hbu/6W71j5bLpFncXyFaqnh4+72OXGH3OSTBQzdwDRMJEVCVmQGdvbSs6WTXCJPuCOIrhmMn5y6tohZoZAsYlqNptot79jIbe+95bU5RRIJtgW4fHiU+HwCWZFxB1wU0kXmry7y//zKF+gYbKFnaxfb795E96YOtt45xIWXrpJaTmNZYHOoVEs1Cqt5ghuDFDMlDv79UWRFZse9m/nQ//5eZi8vNGRQIQ/PfuFlFJuCN9SYd5p7wiyMRJk8P7tG0AH2vnsXkiyx+p/iiKJIuCOIv9lHw8jKopAucubZiyhq4xq4Ay76t3fTv70bgKnzcyjqjY9TSRYb0i1Jwuv14vXe2Dx63Ta3WCxSLpfJZDIsLS1RqVSQZRmn03kDadd1/S0J9Nt1cfnsZz/L7/7u7/Lwww/z4osv4vF4+OIXv8hv/uZv8sILL/DYY4+9bQ13uVxm//79nD9/ngcffJCvfvWrdHR0MDk5yWc+8xkeeeQRPvWpT/FHf/RHb2u8fw5f/epX+fSnP81/+S//5U1/fuDAAf7Nv/k3PPzww/zFX/wFn/jEJ95yQfOTDvOH4IN+M0n0e8dNgv4vjNenhAqCQLVa5ezZs3R1ddHV1fWG43+YGvTrVW1BELhzRz8Bj5PTI/PMzC9w+94B3n/freRLVU6PLeJz2Ql6Gg+IUlVjdD7O7EqagfYwhlGnWjNQX9c0Ffa5WXUVAI1iRaMt6OWWwQ5Mo87hqzMIAgy0NZL74rkiVt3Cbgg89fQliqUaiVyJpnYf7WEfDlXBr0LSsigYMgupHG1BL+FAmC+NLmEVK/hcdpyqjFYyCDa7uXdXP8nVAsfOTZA2DEwBcukyoiCgyBJWWGUlW2J0MopkCTSF3CytZFmYTaGoMj2DEeq6Sd0y0Say+DwOcpUqmmUiqxJGxSC3UsDW4sYXcjDQE+boiWkS6UYlXJNADdpo8rvxeOyUhDp2VeKZb5ynXNMJdwXwmgKGXseo6nibwihumQ29fqYWM8RTBRBBUEQECxRBpG7U8fsU7ri1m4mxFaJLGVp7w8SnE8hKI9Coatbo39DC7fds4Ft/dZSrx6exAEWVUQNOtFYftVodCYG9O7oZOTrB3NgqkfYAmWQRh8tGMVtG1nQ6OgLsv2s9Jw6OMnJqDqddbvhAdwXJLGdJLWdwKCK779qIoRtEJ+PY3DbcXgd13SC5kqN1fStDBzay9ZZelpdzvPzMFVLJIsFmL/lUiWKtggmU82Xau0OcPTKBodfxRdwoDpVsIk/3UDtSu4BW08knC4Q6vcxfXkKwLBKzcSKdIcJtflbmEpQLNXquNXPmUwUmz05TzhaxOWzoNZ1CPIu/2c/Alg6Wp2JEp1YRJZHODW2s3zPAhRev4PY7sTkUcskC4c4QS5MrrEzWESURs27i8DjoGGpnw65eFkajyIrM5v0bOPbNU8yPRnH7nagOFUmVyMZyzI9GefLPX6BSrCAKAk09EWRFwt/so26YGJqB0+NElCTSsRwb9g2s+eQvjEYJmC4e/PQD7LpvK6ZpIUkiX/0v38Ksm1x8+SqlXKPiL0oiE6enb0gnBRjc1cvwsXF8YQ+yTcbhthOdWMHb28TTn3uRpWtNuFsPbOSWh7Zz/y/dxTN/8SKxuSR1vY6syIiyRHIpjdPrQKib5FNFjj12mh33bsFxTRonCAK779/GmW9fpFqs4va7KOcqKKpCraIxf3WRQLOXU0+fZ3UmziO/eT8Pfvxu+rf3sDSxjM1ho5gpcfrZCwS7AqgOlXyqQGo5w8EvH2XLgQ1riwgAvaZjvc4J6/o5IAjUSjVmLy9gmhYd61qwOW3sedcOpi7Mcenlq9icje9DcqmxMDjxxLmGjaYAkc4Qj/zWA3QPdayN27uti8WJZfSajmJTGomlhknXhva3nGMlScLj8bxBinGduF+vuGezWaLRKJVKBYCzZ8/icrlIJpMkEgm2bt36toKKjh49yu/+7u8yNDTEY489hqI0dkM/+9nPkslk+MIXvsBnP/tZ/uN//I//5DjX8T//5//k/Pnz9Pb28vjjj6/1IPX29rJ79256enr47//9v/PhD3+YnTt3vq0x3wqmaZLL5fi1X/u1G55L1yvk118TRZHPfOYz3HXXXTfJ+U38yOMmQf8XxHemhOq6ztmzZwmHwwwMDLzp7/wwNOi5YpVYKkdVq69tqwqCwJa+ZmrpRXZ3DrJjxw4EQWA1U6RSM2gJvPaQcdoUVjMFssVGRc5uU+hs83NlfAWv24YoipQrNYIeB5u63Lzjjs2cG1nhqZeuUKxoJMtldm7pXBsv7HVx7tw8s6tRIiEP7a0+sqUKy/NpwiE3dhcoZp2+lgh3bxugvcnHajzPyGyMimVi5mpQszAti1DQRVOXnwvDS8zPprFME5tLQbME7DaF3p4wvoiTuXwBKW9gs0QiTW5quoliVygXayzMJrEHbEiCwL23rOPp8dNk82Ukh0IdEBQBQQOn28bApmZEWeDEsSlm5pJs3NSK6lCIJnPoVQPTIeFsc7N6dIYjxxaIx/KYpkV6JYe7N4Aoy9QNC8uC/bcM4nfbeT46RnN7mEKyiDvooFzR0Eoa7Z0ehoY8PP21Y0yNZ9F0E6ddQXIraKUqpmHhCHv4qY/dweVTMyxOJwi1+sjnKqiqRO26LWKLl3fcPsjqYoZD375MLl/BE3KjOhSqFY26aZJP5Ln7fbtIxPIsTsZR7TIOj4NqsYasigzcPogsijz0nm0EIx7++yf+juRcnLoJlUwJT9hLuVijkCpy2/2bGb4axdAbAUu6ZlCpGTR3BzF1k2KmiDfkQVYkFoajOJ0KtZyD/p19XD54heWpGC1dQSr5Cj2b2ilk8yyPLTeaGAWB5GKKpt4IzX3NjdTIyVVKuQrT52eoG3VsLjuqTcbpdVBIF6kVq1TLNb71p89RKTb81r1BF7c+shtPwMXwq+OYhsned+8CLKYvzGH3NFxvJFUhPhcn3Bni7o/sb0hwruHYN08RbgugawbFTAlZlXH6nMQXkjR1hQm3BzDrJtHJVRRVxua00dwThmuVqIkz09idKleOjlNMFxElEbvHhqFqa2RFkl4LVloYWcI0TZxeJ5YFuXiOibMzvPi3r7Ayk8Df5GXTHRvYuG+Qq8fGmT4/hyAKpOoZvNcq6MvTMQJNXkrZEi9/5Rj1uskd79tD20Bzw6HFspi6OMfhfzyOzWnDMi30mkFTV5hiusTclQU23rpu7Rr07+hh8/4N5FMF7G57I2jpWqXe4bGj2BQURWLs5BSbD2xkaN8gQ7etY+i2xhgHv3wUBKgVNS5cuko5X6au1UkupvjK//kY9/78foJtARzuxliDu/s49fR5nD4Hql0hG89jWRZXjoxy9vnLYFmE2oPc/0t30rO5k4d//V7qep2ZS/ONBW+Tl0K6hGqTaemNYJoWy5OrvPi3R/joH3xo7e+7457NRCdWmB9ewqxbSLLIhr0DDN3+2md/u3gr4r68vMzS0hIdHR2USiXOnTvH5z//eZaXl5FlmU9/+tM8+eSTbNq0iaGhITZt2kRnZ+faAuX3fu/3APjN3/zNNXJ+HZ/85Cf5whe+wB/+4R/yO7/zOzgcDv45TE5OArBr1643GAQEg0HWrVvHuXPnOHTo0PdM0KvVKi0tLW9Z3X89Wff7/bjd3/8U1x8n3NSg/2jgJkH/F8LrU0KvV8XPnz+P0+n8J1NCf5AV9Lpp8vSxEY5cmKVcrVEp5VFCYzx0W8Nj9sqVK5imybZt29bOL+xz4nHayBQrNF9zeMmXazhtCs0BN5lihZcvTrFYLJKtVMlPreJ12lBkiT1buml2Zjl6bpar0wmCPicuh8pcLMOlq0vcvq8fRZao1HTKqQpOWcLhUEgWK8h2Ga1QZWQ0SqBVwenysbm/lTu39vHNw1eYXk7hsqvIPglMCY/fQWuzB5eiMLeQZjWToKXVR7VuYHNIVBEoanUEj0xVsOgIeQl4JI5MZ4llSwiCgKgICJKAbpgEPA62DLTiUmQ0VcAyLGyiiKnIVEoaoiKx7pYOctkyqfEMWkGjVKmhZSoMbO+gOeAmGsuRzJTwqzLV1RKSU0H12jCqBmbNoJ6sILd7CYfdvOedmykUajz+0gXmoxncNgXJJlPOVhtpj3aVB96/l3KhRq2UoL0rQjxVQLJAF3Wae0OUayY9G/1cnhrn5WdGqNfB6bGDKFDT6lRKGomlLPvftZVa1eDc2TnsbgeQo1YzUOwK4WYvqZUcG2/pYcveHr7wfz1NMVvBFAVyeh2n1042WcId8fDge3fQ2h3iHz77DPMjUcy6iaxIVFM1VEnE43WweXsX5VKV6ESMQNCFv8lLsNlHajWLKkt4vTZUm8L2A+s5+fRFlq4T72upon17BsivZvCGPPTv6qNnezeP/t+PY3fbkBQFp8dOtVwjOr5C51AHF49MsDC+Qr1usjy2hGGYNHWGyCXy6FUdm0PF6XUwe3kRWZVp62tCscmsziY4/+IVPvTp93Dnh2/DMhtuKV//7JPU63UScwnq1z6f2+/GblduIOcAHetbSUbTdHWF0GsGkiIxd3URQYDlqVWuHMkgqxLBlgAuv4NWqYnYXCPdUhAFmrrDxOYSiJKE02OjbpisziSoSzqXXxlhZSqGy+9iYGcPgSbfNS25iKEZGHodp9dBeiXL0UdP09LbRHIpxcJolAc+dhcf+OTDXD02xsp0HG/IjSgKHH30NB2DLRQyJWoVDa2qceHgVW55cDtNXWGauhqa7LaBZi69PIyhGYiSSHN3mHB7iNW5OLWyxtLECnW9TktfEzaHyq2P7GL6wiyyTcbpdZJaSmHWGxXQCy9dxdANtIrOt//yJbo3tuPyvSbdaO1rRhBhdTJBrWDg9rkoFypIksArXz3O7JUFOte1suuB7Wy/exP7P7iP1HKGheElDKOOw21HtSmUC1Xa+psRRIHVmRjP//Ur/MJ//ml8YS8///sfILGQQqtqRCdXePpzLxFsC6wtgEJtAeLzCdLLGSKdjV0+T9DN+37nXcxeXiCfKhBo9tO7tfP7brWoqiotLQ1pzm//9m/z27/925TLZW677TY+/OEPYxgGJ06c4Itf/CKTk5N89rOf5ZOf/CSJRIJXXnkFgHvuuecN465fv56Ojg6WlpZ49tlned/73vfPnsu2bdsAGB0dXatoX0e1WmV2dhbgbZH9fw6yLPOhD32IP/mTP+GP/uiP/klt+SuvvMI73/nOG17L5/McOnSIRx555Hs+l5u4iR8WbhL0fwG8WUro5cuXsSyLbdu2/ZONOt/pT/79xPHLc3z7+BgOm0zQ62Iun+Opo6O0hHy4hRK5XO4NXudep527tvXx9KkxZlZSDSIrCNyxpYeWoJsvPneWsaUEfpednsEwq/E8bc0BfuodWxjqb+apZ19iciFJOODC67IDFm0RL0vxHFMLSUIhF7lSDZ/TjlWpM5/MUq5pSKKIKAtUdY2Otnb2DvUSdjk5dHKSifkE/Z0hFFmi2e8gpwvodiiulhgdT1DXTAytTiaaQ2m3I9okREWkUq6TLVQZavaxpaeFqckYFcPAW5dxuhXqdYlKvkbf+ggP3baBZ18YZmY+SSxbRnTI1Mo6AhaKImIFbWRqNdKjKXxOO5LHQXQ5Sz5bYWEsxuZbe6iVdTaub6G2lOdKsYZe0zCh0aQKFFNFrICdzbvaAIETJ2eQZRGnW0UURKSgk84OP0gi/iYXlUKVR794DE0zcDd5UK45h5jVOvmCxdDOTnZs7+H0+TkQJayaRrlSxTTr2BURRYXOHhdt7QrPP34RvdaQkmSjNvRyDQ0BNINwi5d99w3x6P94mYWRZaRrwVOSKuOwN6OqEhs3tNLVEeDYty9z8cg4oRYfuVQRWZWRlDqldIHWnjDdg008+81zpGM5EvZG5HqwJ4IlS2hVDbvTy94HtiJKAvlkDrvL1vCYViUyK1mQZR74lXupVnRWo1nOvjJBLl6mrbeZarHWcFEBZFnE5bIxfXWJlu4QNoeKUa2xNLyAJEv0b+9G1wySiylC7UFWpmPUyjW0iobL76JjXSu5ZCN1s7XvtZTC6MQKpUwJl8+BZQloFY1yoYw37OH8S1eYPDsDwLrd/ey8fxvzw0vE51PINhm9phO+9l7FdAm7206loDO1MkvP5k4+/t8/wtS5WbLxPJHOIKszcR7942dQbI1p26ybqHaF1EKOQ//wKk6vA72qM3V+lt5tXQRa/IiSiFbR8IU9WFZDh97UHUJSJGyuhmTk0qFhBnb2rvmYA5x86hymaTJxbobEQgqzbmLWLRILKVZnY7i8LhS7jC/spX19G4O7+lieWqW1vwlJlq4lr6qcefYiqZUMpmESagtw3y8eYN0t/dz98/t59dHTjSZhUcTmVKkVa9g9dmxOFUGosDK9ysmnznHPR/avndfg7j76d3QzdW4WSZaplCpIsohlWpimiSBAtaJx5Osn8IU99G7t4iP/6f3MX12inK9gmibf/sJBIu0hZEUmvpAkE29o8NsHmnnwV+5BkqW1htDUcgbExrWWrtm9GrqBZcHEmRlGT04SaPIxuLsPu8vGhr1vvvP5/cBbubg4nU6y2SyPPPII27dvX3u9VqutFYHOnj2LaZooikJ/f/+bjr9hwwaWlpY4c+bM2yLoH/vYx3j22Wd54okn+MQnPsFnPvMZWlpamJub45Of/CTpdBpVVbnvvvv+1z7w6yDLMrt27eIP/uAP+OxnP8udd95JS0sLbrd7bfdZ0zTOnj3Ll770Jf7u7/4OYO0ZOzExwcc//vGbBP0mfqRwk6D/kPFWKaHFYpG9e/f+s7o5SZJ+YBX0MyOLAIR8DS2j1yGjGXVePjXMzg6Zffv2raW3vR537einKeDm6mwM3TAIu514bSovnZxkKpqiM+JruLP4wO2yoRl12lp8SJJI3bQw6iaKfP1zC/S2BCiVasiCiE1WuGNjCxlXnucPDqMJJn6vg1pFRxYswj1++nqaGb2ywuJymkyhQqFawy3JdHQFCTkU7C478WiO/GIZl9tGU7uHhaU0+WwFV0Ig0OdBFFUwLG7Z2kmHx8ux09PMrWbQZSgUatSqBqIoEGnxEOzy8dzBEWbnU0RCbnLVGiVZxK7KrN/YguRUyNZqdDtcnNZjlOsGuqZhSVDXIb6SY3IqTmdHkD1buvjK2WPoeh3JpjRyV1UJ2WrE2PfsbKO7w8+z3zxHMlmgZ7CZgM9JJl+hphkkC1W6BiNoSzkefeUs+VQRLAGtWMMWdNLc3wRanfZWN3t3dXD1aoJ8okr3+lYWh5dRFZWaUEeyLDp7/QztaOeFr51neiSx5lJidzZ8tfPJCsE2Lw/93D5mp+LMT64S6QyQT5dxuFSKmTJ6pkj/1i46u4I8/fWzTF1oBBt5Ix5cfhe1Ug3TtMC02LKvj8XpOHVNx+514A+40CoaqdU8zZs6eMe9Q2ze0YWsSvzJr/41ienVRtCPIOCO+BEkCVmEmmYQnU/R2hnA61G5+rJELlViYGsndb1OpVDBMi1K+SqrkyssXp7D7rLRMtBMoD1EYil1rUHSwhfx0r6ulYl/eBWbQ0V1KGRXs+QTefp29lLKljj+xDlyyQKBFh+JaKoR9lNvLMxkm4xe1VmdiRGbS2BzqFjAwkiUHfdt4Wf/j/dx6ZUR0isZ2gZaME2Tr3/2SSRJbNhFWo1An0qxitvnZO/Dr0kDjn/rDIFWP7IsUS3XcPqc2N124kuJhvWj2CCquVSe5FKalt4m0isZ2gcbvSwTZ2dRbDILw8sU0kXMuokgChiagabp1Io1VId6rYE2QjlfYXUmjtNjR1blRoporszffPofCbYGkBSJ/u09vOOD+7j/l+7kyf/xPMvTMbDAHXAhqxLL0zFaepqQZJHYfIJn/+plfvE//wx3ffh2dty7hfh8gsxqnkf/5Cnic0lEpTEPhNuD2Jw2Ro9P3EDQFVXmzp+/lfMvXcasQqDFTzaeo1qqIpsyltVo3E0upjn22Gm6htqRFZn+HT0ALI0vIwoiFjB7ZYHFsShm3UKv6Xz7Cy+zMBrl7o/sp2dzJ3aXjYEdvTR1holOrhJqD1DX6yQWU0iyxMtfOfranLWti5/6Nw/eUO3/fqNer7/l8+HNNOg2m21tvp6engYgEom8ZQGotbX1hmP/OciyzOOPP85zzz3Hv//3/562tjZkWV6TbbpcLv7iL/6CwcHBtzXeP4Xl5WU+85nPEIvF+PSnP71W8Y9EIiiKQrFYZGRkhPHxcT7+8Y/z1FNPIUkSdrsdj8fD5cuXv2uHmh9n3JS4/GjgJkH/IeKtUkLj8fibBv28GX6QGvSabiCJr91UDcs1g1giyc73PITL5WI1XSCdLxPxu4j43WvHbe5tYWN3E4+/cJnnD45QqTb8uEuGTovfBdckj3ZVoVjRKFU1Ql4nHqeCy6mwksjR0xZCECCTq9DZHOA33nsbqVyF546PEU8XqAgm1UINdAvTMmjt8tG9sZ2TJ2eQKhZtzT4cThujs6uMj67iDziRJRGXJNNmc1Kw1XG7HCQyJWpYWKJAOVNDSKl4/DLdvSGy5QqTo40o8pDfTSpcRtAsWpt8dLT5iSfyLJ9fIbtaxOa3UZXqGIKFJUOurJEoVPCqArvXd5BfzZMvV/E6JGRJQrErYILLpnD3bYN0tQc5d2aOTKmGw61Sq+ggQV0zwbSIbGpCKhocf/wysZWGzKScKtG+rpnOFj/zCyncTpXtvc18/VuX0ep13CE31UINQQAtW6GQLtLdFWbDJh+nD88yNppC0wzsNgVHyINV1TErGt5WH+//5f0MX1igmKnT3ttMPl/FbpMoZEqE+gOEh1T6N/g4dOoqM6eiVJJl3EEXoiJQKdWo100qhSp771zP5MgKuXSZng0txEeX0Co6ottG14YWcokCNrtK35YO/v6/PUM+WUA3TEoeB/8fe/8dZdl5V3njn5PPzbFy6q6urs45Sq0s2ZIlW84YjD0wM/zAYAZm1gvvDDO8MPMCQzRgsMHAYMAJywHZlizLyqmlbnXu6u7q7sq56uZ878nvH6e6LIGDHAQ/Q++1tLS66txzbt269dx99rO/e4c7YtQrLYbDOlt296HqCie+do6JU1OYLYtwLEiz3qKZL5Pqb2PLvgEmz89RXCqRGVsk1RUnPZgiP15kcWyFYMRvytx20zAXjo6xPJ0lmvJbKUuZCsneNDtv3YJnO5imzfqd67j03CW0oAoICIKIGlAp5SpYTZMXv3KacraCGlAZffEq5UyV9v40tmHRqLYIxkK06i1/eHVbLyAgK/7f7OVjY+y5czt3r5YMgZ/1ragyxeUylmkhCAJ6WEdWJJq1lh9DaDnE2iL0bOoi3hZFC6qEEyFAYPTYVWRVYvz0FOVszY9aDCh4jsd9P3MnD3/sCZYnM4BAsjNGfqlIYblIJBlGkiUKi0UWxpb57G8+iGX45UGbD29k1+1biSTDzF9ZxGhaGE0LNaD6lpXLS6zb0Y9t2Jx76gKSLPKGn7iV//i772Xi7LSfBx4L8pWPfJ32vhSO7bA8tYLRMCkslRk7PcXuO7YRb4sSb/OTTSbOTHHsoVPE22MEYwFi6SjZuTyiLHHpxauUMhUSHVE27FmPrMnsvHsLo49P+ruRLYtm1UANKCxPZXFWLTLHHzpFoiPKfR94w5olonOwnY71bUycnWFpNSMfwUUVFFq1Fse/eob8YpH1O/u596fvJNmV4G2/eA+P/e1zrExlkGSJtt4k5WyV7qFOZMXfCZk8M83Is6Mcvv8bhUY/aHwrgu44DoZhfNsUl0rFL636dnaTa48vl8uv+Tl99KMf5Zd+6ZfYt28fjzzyCAMDA0xOTvL1r3+d97///Rw8ePA1n+ub4ZoCvry8zOjoKMPDw8TjcfL5PAsLC2tiF4CiKIRCIf7qr/7qVee4Jmrt3Lnz+3ou13Ed/9y4TtD/mXCtJfSV5Pwft4S+FryeHvSdQ92Mz+dpGhYBTcGwXBpNkyM37SYcifLAU2d5eXSeZsskFFC5YdsA99+0DXnVa3vhyhJPvTRGUFdId4Wo1A0uTS0zenmZPXv68TyPXKVOIhKgPR7i3NQST1zN0XAlcrUGpbEW8ZBOJKRz9w2bCGgqX3n2BJV6i862KDYuY9NZZE1kcF0bGzev48pcnlbVpDsVJVdvUqo3EVSRUqXJxStLeJJBb1eU4aEunpkskSnX0RQJXZMxZBNBFOjuD7NxfQ9zCwUun1jAsTy2be/GA8qNKIvZMkXTxB7LsDyygiaIFEsNvEWBaE+EaF8M23FwTY+e9iiH9q5DQeDMuVlkVcasmigxHV0UaRg2w3v76emI8+XPn2ZuvkC+1EDXVXRJwrFtTMlD6wizY+8A5786iuNBujtOLlfDcz2Wp3Jsao/Q0x7jDbdtZfTsLNmVKo4soCgCgiyC69t4XNvlyF1buHp5gsW5Mt29CZazFYKaP/A6eLAHy/O45eZhTp2a5om/PYrVNNHCGsFkGFPUcGwPqwn3vHMvuXyNcERl3aDLZHkG1/MQJQhHZCpZg87BINOT47z0tasILsRSERI9CXLTWcorFQTLIRjROHzfLp5/8BSZmZyf9S1LGPkq4bBKe2eU3QcGmBvLMDee4ZlPPIskS4RiQSzTQQv61gzPsokmQhx//CKe66IHVPLzBTwd+vauJxnWiCaCbD64Ac+D049fQNUULMMiFA9RzlQoLRU4cO8uMnNFlIDL3FSOyQvzRNMRVE2hWqgjypJvEQHKuQqp7jiCKJLuSTBzcY5Krsrgrn4kWaKSq1IWwGxajL44RqthIIoi8fYo0VSEaqFGNB3BbJgEojqSLFLOVZE1mUgqDJ5HOVclv1Dk+S8eZ/bSAq7t0jXYzs3vPsyht+zj+EOnKGerIECiM0atUic7VyCSDPtDnvMFRElk3c5+fv6j/4HpEX9nLNYR5Xff+xFsw8JomHjuagFWucnVE5NsvmEjRsPkpS+fRFIktt6wkaWJFaKpsC8MeC5zo4tE0xEa5YZfGNS0uHj0Kje+9QDhRGitACgzk8PzoJKvMXl+BqNhAn6yylf/4gkEAWRFXrvpOHDvbibOziCIAqFokEq+Sqveopqv8cUPPbxG1AZ3DXDoR3az842b6evt48TXzqIGVQK2g7CaPBWMBlBUmURnglOPjbDjlq2rN0v+Ne/5D7fzmd96kOnzs2hBFVmWsD3QQyrNmkE4GWL+yhIvf/Us9/zU7fRt7uHf/+/3UFgsoegyX/rjR3Ecb81frmgKiqYwc3H+dSXo3yoHvV73y5L+uYuKPvrRj/LzP//zrF+/nieffHJNrd+6dSu33347mzZt4l3vehe///u//0+GUl8rrv3es9ksoVCIT37ykxQKhTVLi2EYtFotms3m2n+v/Hqr1cJ1XU6cOPE9P4d/jbiuoP9w4DpB/2fANysiymQyXL58mX379n1XjWevpwf99n0bmFzIc3FqGdPykzR2D3Vw7827eenCDM+cmSQe1km1xyjXWjx5apyethiHtq5uoU9lsCybeLuvisXCOul4mEKuzthCHlGASFDnDXs3kinX+cqxUWqGTW9HgrZUlMWVMjuHetjSmaaYqfGZkRMsLJXYPNSJKAr0tsVZzBcpN0ykWJSpTIlEWMMM6WTKdRqOjS5LxCMBzKaNGpAZbFfZPtRLpWjSchy8qksgHkByPBRBxE3K2LicfG6CVsVAcMAwbETTZcueXjZ0JrAtB7NlUZmsEI8E0EMqFdPCbto0Mw1iHVEkRyAS17njhmHOnpvj6mSGmaUiblDGbtg0ayaSLJLsjbL94ADPPDFKPl+jrSvqq/mWixiEnXv7qFkWG9a3kZAUlpdKKCENRPAEQIBquUkhW+XwzcNIssjsat62YTtIsoiNhyYpyKrEoTdtJSBLnHh0HMtw6FrnEAyoNE2bRtNkeanMLW/YwuSlBZ797HEcw0IAjKqB1bTYsLsfTRQ4dGSIaEjjsQfPILgeoaBOJB6mWWthI+BJEv2D3Ry+axtHHz5PeamKoktUchVEVSQ2EKNWaNI1lGJgRx+ZYpXLp6ZJ9ySpriaaeHjkZwsM7RqgsFLlpa9fAgGy80Us0yLdFccyLFp1Az2oMbC5i+xCAVUWMSwPLayhh3VmxxdZt2U9P/l/30t4tfjmc7/3EJnpDI5tY5suJU0m1hEnFA2QWyihBRQCIRUtpDHXk2TxygLbj2yka7ADs2WSmy/gOi7zlxeYOD2FgG+vaF/fRi1fY2V1SDQQ1tl521Ze+IfjeI4/yOo6LstTGSzTZmFsmRe+eJxW3SDdk0QQBBRNwXNdjLqfGBMI6dRLDc48NkLn+nbEgMjE2RnqlSY/8l/vZ/jAIAtXltBCGkguH/svn/Bj6LKV1Zg/GcGD+cuLbDo4xLabNgHQqDTpXN9OregnwFy7bq1YJ94Ro1lp0mqYWKbN6NGrHLh3N6cfH8G2HELxAJnZvJ+/Lgqce+YSruPi2L4P/uKLl0l2JlB0he6hTlK9Sbo2tPPsA8ewDItwPITRMBBFgasvT/DZQo14e4xoW4Tbf+wImw5u4A0/eQtH/+FlCktFtJBGz8YuVmZy9Ax3ouoKZsti7NQU0Z4QAwe6uevf3cLN7z5MOVvl8b99hqc+/QKSLOFYDqmeJJ2DbSyOLbMynV0j6OCr6D/6K29leXLFbyn1IDufx8OPoiwsFimuVMjM5uhYl2b3ndvXstEBIqkQc5cX1s7neR6WadGoNHjkL57A82D9zn42Hdyw5lv/QcBxnG9KMq/FL347gn4tg/3asd8MjYYfxxmLxV7T8/md3/kdwE+F+cfWx1AoxM/+7M/yq7/6q8iyzB/8wR+8pnP+Y1zb+QgEArzrXe/iwIED3+ER3xwf+chH+NjHPvY9PfY6ruNfCtcJ+uuMa+Tctu1XtYSeO3eOHTt2kEwmv6vzvZ4Wl6Cu8rPvvJFLk0u8dOIMATnEPbcfRlNlzowtIIkC8bBPeJLRILWmwbnxxTWCLsv/1OMXC+okIgHeuG8YURRQXIFSrs7Ji3OUa03SEZ2AKtEWDoMgcOXKMhePTvt2jpZJpWmSDOh09iUwmg2Sqkg8mKA3laCvLUI8EOCx+SaTl+aIx4PIokit2iKVCNHRF8PIl3ji2asYloeli3g1h2bDRNUU1m/tIKeZFGdrSHWBgb4URstiYbnMykKJdGeEeHuYkKKwv7+DF69cpCnZFHMGNh6eLGC2LEqZGvGeCO3r44zP5BgdWyGeDNJm2xTKDYSgysBAinRnhKW5Ake/dJ7Rs/NIQZlgZwRXELE9B7tuM79YYsuObvZs6+XRxy+AKKDKIqomUwdEB+Jhnbfcv5twSOPBB06yvFgkmg6TXyhiVFu4jostCGzY109HMMCXPv4CzYqB68HieIZIIkT/rl5WENi9o5ctQ+38/p8/jVEzCCVCNCtNPMBqmiyOZ9hxwxB969I8/oVTZGbyaLpC0fUIJiPEO2NkFooM7uxjx5EhLp+ZIbdYIdkZwzQdAkF1tQVVYd99wwQjEhPjOfLTeXKZMsGkjh5UsA0L1/PQdJnhXX1cObeApsvE0xH6t/Zw9eVxGlWDgc2d2KZNfqHI0L51PPXZY1QyFUzTpjSXI96dQlZE+jekCEcDtBoGRsPkzBMjmE3Tt+QIAvVKk0axyqaDg0xfmMWsNLEtm3AiRNdQJ8XlInNXllBVGVEU2bh/kLFTU+TmC6S6EnjA8lQGNaDxlg++kfkrS2Tn8iR7EuhhHVVTcWyHVs0ADyTZt6wcf+gU4UTYv5EYXaBarBOKBUm0R2nWDSRZxHU8MrNZIukwjWoT27SJJEOsTGeYv7LIxn2DaxncV89NEIoHqK40aVabIIBlSNiWSzlXZer8LM1ay8+C702y9cZhXn7kDKmeJKquMHV+FkmWyczlmR7xy6gcx6OwWOT+/3Q39//83Tz1qReo5KoEowFSPQkq2YrvMdcU6sUaRsPks7/9Zfo39yDJEt1DHdzxvpu55d038NznjyMArXpr9YbAwzSa6GGdvi09rExnee5zL9G3qZvDb9nHzlu3UlgqEk6GeejPHqOSryIpEgtXl8jOFfxYxS/b9O72C9y0gEp7f4o3f/CNXD05iWXYpHuSBKM6lunvNC6OL/P533sIUfKjD7fcuJGuDR0cvHcPxx8+Q6vRwmgY2JaDIMLiRAY8j1atxYN//AiWab9qgHbHLVuZOD3N4vgy4USISr5Gs9pi9vIi2fkCgiBw6cWrZGZz3PqeG35gbZaO46Dr+j/5er1eR1GUb6sQXxsMzWazr5p/eiWWlpZedey3QyaTYX5+HoAtW7Z802Ouff0v//Iv+d3f/d3vKZf82mt3LVcd/NfB8xuk/slxr/z/K1/3Xbt28dM//dPf9fX/teK6gv7DgesE/XXEK1tCr5HzV7aEXovL+m7wg7C4eJ7H1ZksM0tFIiGNnRu7CQV8/7soQKu4wP5NXdRqNcS1Igi+6QeNu7pQWrZvXbA9j5nFIl3pCE3DotkyefMd27l91yCf+vJJzl9dxHVdivUWtuCxYV1wbbG1mjbz4zl60jF60xEK1QblqSyjFxYJhCVyhTyyGmLXpj5+7JadfOm5C7wwPUXRaGDgUSo1CQUcQmGNLTu6yZktpmYqdKQSdKVCNByLlWyVcCLCvgP9NB0HPVuguGgghTVypTqm7eBJAs26ydR0jl5FYMuGDnb2t/H4F8/iCh7hsI7jeZiehSgI7DjQhxiWKc1V+PqLp6mYFrHeCGgituBhmhaLuSqWZbFyYh6rZWMaFkLTxDNskhvbMSWBgCRx08FBtm7t4vixScbHM4TiQer5Ok5Q9Qcd6wa7bt2EJMCDnzzG4mKJet1EkQVi7TFEEWoNg56N7bz/Z2/nMx96jFKlSSgZoFk1UTSVSr5GdqZAz2AbQ8MdPPbwBYrLFRzXo2XYSJqC4PmDc3pQ5S3vv4EzL01QKzbo7ElQrrYIBBQq+TqBwRS33raZ7p44p1+c4OQXTtAsNZAVES0UQFxNEgkGNA7dvI2Xnr3C4GA/A90dHF+pY9kusq7S3hslt1BCj6pcODfCucdmkEQBWZVJdcWIdUQpr1SYv+qh6grDBwepFRsUF/0G0FgqTL3coJkrEeoMkuqI8tinX2RhIkNxoUBxuUyyO0693ESA1eFIB1mWWRlfJhAJEAipFJZLlHNVtt68jS17erFaFu39aRRN4eqJCdSASnGl5CfkAJZhMnF+Fs8T6N3ag9myuHJyClmV6RnupFb07QeSLFJYKiOIAghQK9ZIdMRpVJoomkyj1iLVk8Q2bVamMuhBjcmzM7TqqwRfkQhGAzTrBosTKzQrTZLdCX9w0XFpVpvE2qJ+e2WliVFr8fW/fhotpOPafsTivrt3cuf7b6JWrDF1fhbLtImmIzi2Q3mlTLzDH9wuZspUCzXGT09z4E272XnrFgpLJSLJMF/40MM8+9kXMZvWaiylhud51IsNOlaHQWdHFzn+0Gne8JO3MLR7HcvTGRLtvio7d2URRZFwHZerJyZo1lq4jsP4mSl23b6NYDRAcHXXIxwLYhk2k2emWRpfQRAFjKbFzMg8n/+1R1h8S46uoU62HBoilopww1v38/znj1EvNzAaBpV8FUEUOPPkBSRFAs9j9NhV8ouHueVHbuD+/3QP7evaePmrZ5gemQVBoFFpoAVV31a0oR3X9XjxwRPsuXM7iuYT4KG967j3Z+7i5UfOUM5WaB9IAR6JzjiJDv/nLGcrjDx7ie03bybd892JMN8K38ri0mg0vqO9Zd++fWtpJxMTE990cPPy5csA37VK/e0igQGq1SqVSoVEIvFNj3stCIfDhMPhb/kavBIjIyNUKhWOHPlGIddNN93EjTfe+D1f/zqu418C1wn664jvtiX0teD7VdAd1+UzXzvNC2enMC0HQYCe9hgfeOeNdLdFGRkZwbZt9u7dy/Hjx9eutWtjN1fmslTqLSJBjXK9hYfAzsEuKvUWn37iDGMLOVxdJJurU2m06EpFuGn/Bt5482ZOjMxy9vIC7akIAV0hUKpxeWqFhSWPZCKGYdlksxUkTyAc1pjJlqi1TMSATKNqcOriLL09KTYOdPDmm7Zw+soC58eX6EpH6W6LYeBQKNRZv6GDVFBn/PwilVwdwzCohg1yGZOm64AisFyuMbFcIhELsGNdG8fHS2QKDaKJANGgRkCTyTRt+vuTvPONOynnGzx7bAJbAq9mY2AiOS6YDsQ1Stjknl9AbDqU6i2adRO3YdG1rQMxolMxXYb6UxjTRRzDwVYE5KCCYzgYdYvachUnIDPQn2LTcCePPHSeufkilWIDWRBQYjqSICC4Ht0Dndz21l188a+PkslWibWFsYUakiBgNi0GtnYzEA9wy5EhTp2cZm62gCT5Cr2oSkiSiOt6BAIKb3zzTsbHMuQyVTrWpVi8tOgn6zguWlAhiMftb99DKVvh6c+9TKthoIc0tFgQUxb9XGlZZuu2bo6/NMH40xdxW6af/y2KtCoNQmGVeEecG+7awtTFeS6/cBVNlQlEdZI9KTLTWSqZGooD6fYUN7x5Ny89chbXcFBXBzznry4TbgvSlmynvTcCokZTlTj/4AnCyRC24WA0/QbHeqlBrD/MxPk5iktV4u1RLNOmUW3S2dZOvC1Ks9ry4yxdl2alQSCo+sqsZaMGNcqZCuGYxi3vPrz2d3P+2Utk5/K06r7SSqlBKB4i1hahnK/Rs6GdVq1FMBog3ZciM5XBbFr0bPQV/8WJDHpYY3Z0AbNl4Tn+MGcwGmD/PbsYPzXF8sQKiiaz9cgw46enyUxnSXYnEEWRarFGaaXMS1864aeutCxCsSAbDg6g6gpaUMVsmnge/jAyMH91iRveug9F8wt6jj98ht5N3fz4r7+TpYkVWjWD9nVp/vDff4xGtUlpuUyrYSArEooqM35mij13bUcLanRt8BXrzQeHuPj8FWLtUWRFwmxZzFycJxzXyM7nqear2KbDpZfGuOmdB7npnQf58ke+TqPiq/utmoEW0lieyuDYfiyi0TB58I+/RnYuTzAaYGBbLz0bu9h20ybOP3uJ+atLKKqMIAiouoJt20yfm0eVVdSAxtjJSd76n+7hzvfdRCCsc+bJEcymxebDG5m5NE8sHSGS9Afas7N5jj98ht13bieainDLuw9zy7sPM3V+lr//31/i6okJJFki3Zsk1ZOkUWlSLdapleoEIwHUgIogCGy7aRObb9iI2TBYns7y+d97iGjqG+U40XSEudFFypnKD4ygf6uYxdfSItre3s6tt97K008/zZNPPvlPCPqVK1eYn58nEolwzz33fMfnkk6nSSQSFItFrly5wt133/1Pjrly5Qrg21Neq23mW+GaF/2aQDUzM7MWG6koCrIsI0kSqVSKP/qjP6JYLHLkyBFs20aW5dUM++vNotfgAS6vr8LtfedDruM74DpBf53wrVpCU6nUt2wJfS0QVwehvtU25XfCyNgSz52eJBxU6UxFsB2X2aUSX3rmAm/Y3UapVOLw4cPIsvwqv/uR7euYz5Q4c3WBfKVBSFe5dfd6RdDqLAABAABJREFUDm7t45HjV7g4s0JvW5y+9jjFSoNMrsb9d+zk9v3+B8HYdBZRFAiskod0NEQyGqJcrjObqxIOuwx2p5hesVgpVqk0DUKaguyBY5gkOyO8+badKCY8/sQlRqaX8HSJoO4r/xu60tSbFhPjK1ydb+A5LoooUS+3MFpZurZ1kAoHkDxotCx2DXcy3JlmYnyOhuhhtCyMmoSrybQaFuGoRrw7wsiZec6cm8MwLWxVRgh6eCKEAzrtQymEdIB4U6DQdAglgpRdG8lxMeomxbkSoZ4osiaxY1s3//DUGHXDwrEFHDxERcS1HeyWTXpDkoO3D3H61DTTs3kS7WEaroNjuzgtm67N7ShhjY5QgM98+Akuvey3PgZSIbRECFcE23KwDZsbDw+CILCwUibZFqGaqxIISJiWRzgeIKQrvOkde6jmqjzxwMu0GiahVf+2UWvi2C6uIbNpdx/rh7v4yl8/h2PaeIBt2JjLZdalIwTbo9x4y0amr6xw5tEL5Gdy6OEAgmFhmzaeIFBcKtO3qZtoMsRTXzyF0bTQdIVypoqiyfTuGsCzbAaHO5AiAc6fmWNhLEMwrGNbfsunZ4NV87jjP9zAylKZSqmOY1vUqw08AWKpAJIt4joQjGpE24MsTWWJxcPYTZPezV1MnZkkN1dg4771RBIhVqZzdG7oIDOdpbCQwzYdKqutm/GuBL2D7TQqTTJzeRRVZuHqEs1qE0mRSSTD2Ka9ak8JkJ/NsjK+hG36ZU6p7iT923sx6wYLV5eRFIn1O/vJzuWZPDtDW18SSfFjC7NzeSzDpnu4C0VXCIR1Brb1MXtpkWA8SLPWAg8/QcU1mDg7w67btqKHNEqZCmcfv4gaUkl0xommwnge6CGN0ZfGiLXHyC8WKWerKKqMZdgsXFliYKtPgK9h3Y4+8otFSitlPwITj9x8gXNPXWTd9j7K2QqxtiibDw2x+YaNdG5oJzdfWG0Y9W9sAK4cG/PfI6aFPC1z+fgYN7xtP5Is8dKXT1Ip1Ojf1sPKTA7LsAnHgxgNEy2oMjXiK/rp7gTnn7nEze8+zNYbh9n7hl1MnZv103R0Bdd1cesOIBJri5JojzF5boaxk5PsuHULt77nBm561yE81+XqiUmmzs8SToSolxtMj8xRypSxTYcv/cmjvOuX3kwgrCMIwmpqyx2UMmXaB9IEV6181UINRVP4wu8/TCVfI92b5Ma3HWDjvvVIkkggEiCWjhAI+3MD0bQ/T1QvNdBD2tqNwQ8C3yrFpdFofNsEl2v49V//dZ5++mk+8pGP8FM/9VOvauX80Ic+BMAv//Ivv+pcp0+f5n3vex/btm3j7//+79ceI4oi73vf+/jTP/1TPvrRj/JzP/dzrzqfYRj8+Z//OQBve9vbvu+IQ0EQqNfrPPDAAzzyyCMUCgU8zy+30nUdTdMIhUIkk0keffRR3vOe93xf17uO6/j/B1wn6K8DHMfBNP3Ugle2hAYCAbZt2/Z9eRKvLdDfK0Efm8th2c5qKRDIkkg8onP+6hyD0QY333TD2sDPKwm6qki87417uW3PBnLlOsV8ncxKhS9+9SynZpYIB1R01X87JWMhSg2DXP0bA0mBgIrjfuOeWhQFYkGNdFTi9p39pJNt5PN1Zi9mmFsoEgipGI5FvdakvStCujvB889dpZStIwiQKdawPY9kKECqPUIqEqQrFqE4n0VUFBJdIQzDplRvYlZMGtkGdkzDtTw6e2IIosDTR8dYWM7TcFzcoEzTtH31rCtKrC+C63qMjC6gBWXkoEzQtKhXQYnobDs4QKHaYkNvkuWRFeqGRbNcx3QckAVcCxqVFumhFO3rY35kpSz6A5ZhjYbhx+eJisTA7i4S6+NMvDzLy8+OYbsu5UIUNRXEwcVyXAr5Ogc3dHDuK+eZmVhBlCU826WVqyMiEOuNE1UV3nj3NoKSxJc+f5KV5TIhVfG37ostXAQKrQqHb9uE63h8/YETOKaN67o0qi3CyQi9m7oo5mvsPjzIrps28vCnjjE3nSPeFsErN1er3C1mLy9x+L7d2K7L2Rcn1jK8TctGVmUCAQXbsNFViTvetZ8rZ+dwDJNoVMc0HJSQRiVTIZAIc+s7DrC8VKZRazF57Aq56RXEVXtLMB4i2h4nHA8QS0SYGl2hPR1DD2lUt5aYGZlD10K0bYhSXCljNE1EUeDyC1cQVt9nwViQtqF2li4vsTy1giCKJDpibDsyzMN/9gSu7ZLoiOG6LtV8DathYJsOD/zeQ5QzFSRFYm50gXAijGM7vhoMKKqE50FppUysPUokFaZVM5gemeOGt+3n/p+7i4Wry2hBjY6BNB/9T39DIKr7A4muT7pFSWTi7DQb965n25FNNKpNJk5PgefRua4dRZVxXY9gVOfSi2PoQY3icolaqYEe1GhUGiS6ohTqFZo1g2A0QH7RbyQ16i1GXxqHVSLj2C7TF+YIxYP+YGh7jA171rH50DBPffooHgLhhG8rEQSBucsLPPjHjxBJhvFcl4vPX+atv/gm3v3Lb+HJTz7P0vgKsbYICJBbyBNLRde89oqu8PIjZ9l1+zYO37+PQ2/Zi+t6FJZK/MY7/5BmtYm9ar0xGgaO7RJaVc9XprOcfPQcG3av48a37ef4Q6dwHZd4R4yp874VRZIlsrN5Js5M06y2ePaBlxjatx49pPk7OJJIrC2CFlSp5KuMnZyiVqojigKu4/D0p15g5NlL7Lh1K3vu3M72mzez5YZhthzeyJUTE8iKjGPZuI6LZdgsT/l2s6mRWTIzWX70v7+Nvs09gD8svO2mYU587Rz1csOfA2jZ7L5zG239qe96jf5W+HYWl9dC0G+99VZ+67d+i//xP/4Hb3/72/lf/+t/EQ6H+fjHP85f/dVfce+99/Irv/Irr3rMxz/+cUZHRxkdHeW//bf/xr5930ip+c3f/E2OHTvGiRMnePOb38yv/uqvrsUs/vqv/zozMzMMDw/zh3/4h9/3z+55Hr/7u7/Lb/7mb5JOp2k0GhiGQVtbG5ZlYRgGtVpt7fjeXn9G4wfl///Xhuse9B8OXCfoP2BcawkFXtUS6rouu3fv/r6VhGuPdxznVYrFa8U1Ev3KauZGy8A2muzduxs9EOTs1UWmlgoszedRgnG6u1n7efra45w5O8ejz1zCMH3lrFRvEmsP05mMrl3H87y18qGlfAVHgoZhMjaToTMdo9kyEQSBfcNtpIM6T700xnK+gheRcFWBRsMkGJBo6wux76ZNjFxepDlfZ31vCtN1aOKwtFhiZGSeQ0c2UG4YaKJIUJJBhpVCDdf1EBSfLFdKTdIxjQ1DaQLtAcYnslSLLSJxjbrTwtFV7KbFum1dKILAxKl5ZgoGtYZBoCOMEtdAFkAWqFRbFEsNNg22c8veQf7PuQUs06EtHUIQBRqiidVy6FyfoH9zmspMma9/9jSNpoUgCpiVFoLn4ZoOUkghuS5B4ewy2YUSruDh2S6NhTKaJKG3BdEFiVsODeHVDWbGM1iCgKzL2E0Lz3Gp52q4ssT+w4NousLXHjxDvdzCcT2apoWaCBFsC9Bq2Wzfs54b79vJJz70dbJzBWJtURxBAM+jWTXQEx4H37SL4a1dnDgxTbXcQBQEWoaNGlDRNZkqHol0mHt/dD9f/uRLSJ5LW1+S6nwOz3IwXY9gRCekSPQNtRMMa7z0lVPUy01kRULSFOI9KfSgxroNaURRIL9SojadpbJUQlYkkEQkRcKoNLDDOlvu2sbI0atMnJhiRhZRdIVER5RIW4RypoLguMiazP6793LiyVNIiITiIWRVpJqv0aoZDN60Dse1qRdMxHiAp790AsuxCSf9ungB/BZX22H8zCS24dC9alG5fHwMy7QZ3NVPo9xc9ZE3kBQRWQtSzlQoLpVRAyqKKqFqMomOOImOOACtukGj2qJerGNb7iphdlaHQl2adYPcwjRaQEXRFSKpCOVsGVWPEAiq5BeLaAGVUqZMdi6/Nrfhui477t3I/nt3c/LRc5SzFTrXt9Mz1MmZJ0YIxoNoukqrYWBbBi995RSLq35uQYB12/vYdftWQrEgZtP0dwE0mdAq0Q/HgvRv6cGxHeZGFzn39EVu+9Eb+cnfeg+1Yh01oPLY3zzDV//8CUzDopGtYFs2ekBj4swUucUiXevbVy0GAumeBNtuHGby3Awd69to1QxmRxeQZJFW3eDko+doVJuousrE2Wm2HdnE4fv38ewDL7IyncVomlhNCzWgsDSVQdUVLMvhzFMX+I13/hEb961n+MAgu+/YTvdQJ5sPb+T5z79EOeNn13uu3whqOy65BX8QeGUq63c53LyZH/2Vt3LqsREmz00TToRZmc6wMpOje8ifF4qmIsxeWmDkuctrBF0QBG5+9w0kOxNcOTGB53kM7x9kxy1bfqAE8dsp6K81YvG///f/zp49e/jQhz7EHXfcgWVZDA8P8+EPf5gPfvCD/+T87373u3nggQfYunUr27Zte9X3otEoL7zwAh/72Mf43Oc+x1ve8haq1SrhcJgtW7bwO7/zO/z8z//89xX/eE2I+trXvsYXvvAFPvCBD/Crv/qrfOADH0CWZf7zf/7P1Ot1KpUKx44d41Of+hS7d+/mvvvuA/i+P2+v4zr+JXGdoP8A8c1aQkdHR19zS+hrwbXzfq8+9D2benji+BgLmQrJWIB6w6BYqnLfTZtJp1N85utneHFkGtt2qNcbjC7WUYMxtm/wP6BWclWeOnoFVZboWN3OtRdccksVljrLxGNBitUmIV1l+7oOLs9l+PzzIxSrTaSIQiFXp7XssL4rwd03bSYdavH8+UWWczXW9SQRRQE1pHJlaplQh8buvZvI1ppIloAqS+QbTfLVOq4Lsi5RLjeZXCzQ2x7n9iODPLZ0hquTK+gRjYCmYFsmddNFS+ns3NPD4lSBmfPLmDULJa4hJGRMx0FWZOpVh6npHPZkBVoOekDBqFvYs2XatRSxdAgsF1EUeNfdO6mXDR78ylmml8ogCRSWayi6DA0HQZPQe8IsnV+hvlRf82ULQX+nIRLRsRWB7k3tbGlL8qWFyzTwEBQJ0QPHdCjMl9BF6OmJMziY5u//8nlsywZNxgEEVUb2PBzLoXdLO3e9Yzef/9sXmZ/OE+2IoDjKahqFiR5RGNzVze79Q/zdHzzK1MlpPNelkasSaosS74jhtGw6O6O84d7tPP7IeVrVFp0DKSpLZTRVwjAdglEdHJcb37SdkRfHOfPEJWzLL7iJtceoZstYDRNPFmnb0M7+e3bxxY88uUpGJQJhjUalRStfpmOwk43bejj66AjLMwXyozNYlo0eCdCq+V5vz3bwHJeOgRQjL46BIBBOhrFNi5WZPKkN3Qxu6qRRa+KKEkvLNXKzZYIBnXqxjqwpKJqGY9ls2DhIPldj/XAQSYGzKyO0Giax7jBSSAAXVENG0kUWp1cIR4LMXKgTTUXo39LL6EtXKK6Uiacj/s2GKhGMBJi7sojnuLiuh9UyiabDRBIhZi7OszyVQVZlujd2UivUsAybUDyIJEv+MGfDj3AsZ6vguXirxUY7b9vGtiPDjDw3Sq3coGeoi67Bdk4/PkKsLYYWUGjVDUrZMhPH5pB2qfRs7MQxHfq29qDqCldenkAURYym6RN/TaFeqpPuT/kDmKbN5PlZuoc6aO9P0aqbRJIhFE1h7tICoiRimTYjz47SqLWQZJErL49z24/eiCAIa/aNoT3raB9Ik53PY7Ys1NWh13q1yd/9jwdIdSXQIzo7bt7Mjtu2cuQdB1mezpKd820KzVoLPaT5xUSiL2pUC3We+Lvn6N/Sw5t++k46B9sZeXaU/FKRyZFpypkq4UgQ13ZRNRnXcclMZ0n3JnjxSyfJzRV48wffyL0/fSeFxSKFxWOE4gFEUaRWrKOHVSzTJtEWJb9Y4NjDp9h20yYCkcCadx7gL/+vT6IFvlEg58diylRyfgyj67i09aVQVJndd25n953bv9el/TviW3nQvxuCDvCmN72JN73pTa/p2FtvvZVsNvstv6+qKr/wC7/AL/zCL7zm6383uHYj+pWvfIUdO3bw27/928RiMTRNY/Pmzdxyyy1rx77nPe9hy5YtPProo9eV8++A6wr6DweuE/QfEL5ZEdHExAQrKyuvuSX0teCVgzLfC3o74vzkWw7w4NMjrOQrNJt1bt27nvfedwNXZ7McvzhDLBwgEtTI5zwKdZOHXrjI5nXtyJLIwlKJesOgpzO+ds6+jjhGy6bVtCiIDeLhAHfuHWKgI8FfPHKcWtNkQ1cSoVugXG2SKzc4sKmfqdEVnpxaYLnaoq0/hbjaYpoMyAQUEUkJkq81SUaCbNga4ZlnrpCv1NFVGUWSEC0XNwyDg2lu3biOkYvzlEyTVtMCFxzVxm46RJIBiMucem4CI2cQC+s0TYfydJG4ESbUqRKLhbGaFgHDo2VDIBWkVG2BKmIbDoXZErYoILjQti7G/EKJF49O4LgesirhRVQkFyJhja71SeyIwvbuNk5cvIKnStiChxSQsA0wBYHIYAo9pHL7kY08+9hFajUDJar511BERAEEF9JdEW65axMTYxlMxyEQ1LBcF0cUcBwXz3aIdcc4fPsmPvvnz3D55RmflOdqBLpifpNmyyYSUDm8v5ejD51hbmQePbjaXOp6VJfLxNIhOrpiHLljM+ePjnPqsVF/CDSooEd0GuUmrZaFaDts3tOPGtZ56ounkBURT5CRZZ/Ab9g3iG3abNu3DjSFE0cnmBpdJJIMISm2f01BoJSpsuvWLeRXylSyVURVRNYUWrUmrgfBZIhQSMOstdh8YJDl6SyOaSELLsXlEmpIp9UwkfBIDbRhzhfp7I0z+uwl6pkKTbGGokgIkkhbX5pIV4pauYFZa1E2LLSAyvDuIfKTeeyqR9/mHurlBsVMmXR/gqvHp/BcF8/zE1gibRHS65J4tsviZAYtoLLv7l1cevEKjuUQTgTXhlTL2SrL01kmz81gNn2rm6zKOLZDoiuOUTcwWxbBSICWJNAoN0j3pgjFfRU7t1DANi3u//m7uf29R2jWWiS74nzpw48SOjFJrVQnt9BCkiVkTaGSqdK90W+19JXuBdK9SeIdUVLdfnKGGtAYffEqiq6Qny9w5bhvfZEUiexCkcP37+fxv3uW0koZSZFo1lt+vOHYsn9zpUg0yk0cy+Ef/uirvh+7J8GOW7cyuHsdsfYo46enUIP+OievJrVcfOEK244MI8oi81cWadSa3PjWAyiazMlHz1FYLhFvizB5bhbHdVDDOpZl0zXYRmY2x+ixMQ7eu4f9d+9i/9278DyPv/5/P8XRT5/0C4rCAaqFGpIsrr2moiwydnqKpfFlejd1c9uPHeHqiQm0kEaz2qJWrGM0TCRF4tJLV6mXG8xeWiCWjnLD/fto60uhBX2b37rtfcxdXly7wbQMf+B4/soSn/i1z4Pn0bG+nTvffzPdq4O0rxe+lYL+WoZEf1hxjaCPjY1xxx13rA2bVqvVV9k9r+0I/8RP/AQPPPAAFy9eZNOmTa/aKb6O6/hhw3WC/gPANXLued4aOZ+fn2dqauq7agl9rfh+k1z2bO5h87o0jz/9Ap3twxzYu8v3nK6UMC2HSPAbHvRoSGGlUKNYadCWCBON6KiqTLNlEVxVlkzTJp0I8TP3HyYYUpmcznHq5AwvHZtgIl+ktzextkjGIgGmJ3M8+IVTyIKA41iUSi1qFYt0IoTnOZSKRToSMe7cv4mDO/qZWSxybnSBqmFSrTZJxkM0HQMEgY2bOykU6zzw5ZMYLRs1rCFEVSzTJRxUiHXrpNclabZcygtFkh1RDMfFa4m4TSiv1HF0D8uqk0qEEfNNGi2TJr5SLqoiru1hWw7xVJB4Z4R4OsSpk9OUGy3EgIygi4ghGcN0iW1IIqsi5pU8zx6bJZepokV1Ev0Jv4IdcFsO6ViAm28eRgAKtRaarqCIIp4KpunhtFyS3TG27etl7tQCZ49NUan4FhGh4SCYDp7lIAcU7n3vQa48N87E+Xm0kOpH4DVMvPkioa2ddLRF2LY7xcJEgXPPXPHznmUJURbxHBfHtMjPFtn1jn2Uqy1eeOwiqi7jmQJ4IKgKvTvaaBkWu/evQ44FeOqhcyyOr/iqpCRjWi6mZZNdKHH/T99Ko2EyP5UnGvNr623HRQ1qpLviGE0Ts2my9/YtPP3gKVQJLMNBiQUhV6FVb5GMxgmFVWQBhvev52t//QyZmZxfaORBrCNGqiNK/4Z2VuaLmJUGcxdrjL981X+vCQJqSMO1HDIzWQa29rA4tsTSRAZltZwm2hahc7gbs9JgeTLrv5/2DeE5LhIiejRIIKzTrLcozZcZvmkQJaCQmysgKiIjJy+Tn8sT64hg1E0swx8SFWWRudEF+rZ007WhA8/zmLkw55cT9SYJDnbgOg6iLDF9fhZVV6mX6+Tm8yiaQrQtSqtu4HkekWR4TamOpsO0qi1aTQMBAddxqeaq6FHNz2GfzyPLEmpApV2R6N7Yxfxl3ztfyddAADwYOzWJuNr+26g0CEQD7H3DDjoG0hSWywQjOne87yZe+OLLVPM1IskQlukQiOiUMhWOfeUUg7sGuPLyJPNXlrjvA3ex967tXDp61bf8rD6HUqYCEoQTIYKxIPnFImefuMDeu3ay6eAQmw76w/L5xSK//+8+Sr3c9HsjmhYL4yvYhsXRf3iZjXvX4zguic44kiQyfMN6Jo7NEgwG1lplLdNGEAXGT0/Tqrdo1U0e/eun+fH/5x0M7urnwH17OP6VU1RXybkaWM2pX42xtC2Hr37sCc48McLGfYMcvn8fWw5v5MC9e5i+MM/81UUABAQ816NaatA92I4gCsxemudrf/kk7/v1d64R+9cD30/M4g8rXplrHo/HX/X1a1bSa4KVKIpomsbCwsI3O9V1vALXFfQfDlwn6N8nPM8jk8nQbDbp7OxcawkdHR1l796931VL6GvFa1HQbdvh5QuzXJpYRlVl9m3pZesG//m5rsvI+XP0tMfZs2fn2iIYXv1wsR0XWfJvNEzTIRb101LqTZOpbBEDl+XZHIlogICu0mia7N/Zz+bBdv7+odMcPTWJIIDreiwXqhhNiz27/VhJ07YpzVUIINHbm2Ixm0cKiNSrBqfPzhCLiyBp9HYmuHn3IGeuLPDMqXEkSSTRE6UyZVJvWXR1RenfkEaOq0xeWEZqesQSQQr1Blpap1Y2UHrDBOMiFctkXTxByc5TqLdwPQ9FlRA1Cbfl4Nou69enCCZ1ls4uY1oOsYjmtxJ6LvWmjZoM0rutnemziyyfWCS7UsFVRNIbkgQjGqbt0jBafurKTInybAnLc2HVc16eKdK1tZNcw6KtM8o779/LqZenOH5skoWFgu/BrRp+W6jlICgSu27ZgDFR5sqZORRdQWqaeI5HMBWmrTtOrWFw8xu3EYuHGDkxjemCqggIkgiuR6tqUJgvse2ubQiix8VTS4iC/31BFBAVCS2sUy83WL+tm87dPTzyN0epLFcIJUMgCdhAvW6g1y3ufOceLNvlxGMXWDwzRbPaxChWUXSV/u29WEGFVGeUrXv6eeBjzyKLoAdUQrGAf6wHUlsYt+qwbks3K7M5Lr80hmM5iJKIrCqk17dRmi/gtSyslsLQgQ2MnpyiWqyjBFT0oIbnuZSWSwQiOonOKC88fM73TzcNiksl1LCKZ4NtOv5NligQTUdZmimgaArheBBREsnNF2gbaOOmH7uJmdFF/zloKiOPn0YL6zQqTWqlBoGwTjASQBN1gnqQzfcN43oOy3NZMqMZlLRMtCOE0TJBgPJilVK+DGMuV08ZhCJBUj1JYm0Rqvkaju0iKxLVYp1EZ5zCYhHXdRFE31JSWCjQu6mL04+PMHFmClES2XRgiGAkgNH0Zze0gIpju5iiSatiMPrSmH8D6Ho0Kk2SnXHe+z/eznOfP8bVkxMkOmJsObyRp//+6KqNTMNsmmhBjZmROVRVoWOgjVAsRDgR4vb3HuHS0asACAJEkiFEUWBlJkcwFiDRFSecDLM8keHCc5fZcuMwqe44ekgnHA9RXCmRmy8QCOvMXVmknK3i2A7BaJD5q4vE22NoAZVIMkyyK86WwxsZPT5Obq6A0TRQNAXH8TjzxAWWJlZo70/Tsb6d23/sRmIdEfa8cRvnH7tMOVelWfeTbhTdT8aRNQlZlRg7OckTn3yet/zcG3n7f76XLYc3MnZqksvHxpm9vEglW0EKSYiSX9ErCFAr1qkUqjz990dJtMfoHGznx/+fdzB67CrlbBVBEDjxtTMkOmIEIr7w0r2hg+XpLHOXFxnau/4Hvt4Da8ld38+Q6A8jrn02DQwMcObMmTVFvKenh+eff56RkRF27Nix9rp86UtfYmFhgVQq9arHX8d1/DDiOkH/PnCtJTSfz1OtVunq6qJUKq21hF5bJH7Q+E4Kuud5fOKhk7xwehJndZv+6OkpfuSe3dxxcCMXLlxYyzp/padxx4YuettjzK4UiUcClGoGpu1y944BFFnirx4+zoXJZfSkjmKa5KoNOhSJN92+lTfdvo3FTIWTI7PEIjrRsJ8SY7oOmeUK04t5wmGdQrmB6EAiGWSpWKFQNxAlAVkWqVab6PEIt+3ZwC17NiBLIidH5wgHdVKxIF3pKLYMuVKNcEeQ8bMLlDN1sD2CyQAV10ISRWKRAK2GRbHcIJWOsX+wg6GObs68MInRcEkmgrieh1E3aWoekb4A4HH1xVnssoULVAsNZEXC8zyCYR29N0LmYobGZIVQWMMVwKoalCaL9OzsIhn2rSQ717XzzPE5TNeladkIsohnuzQrLTIzBaSQyrptnVw8v8ALz40haRJ6UMUSRdSAQkdnDAuP7sE029Z38okPP4Eni6ghHWQRBI96wyQmC+y8aSMbtnTx9UfO+f5pVUKURDxNQpVFDDwGt3bytvcc4C/+8GEa5SbtfUkWxlZwHNe3yDRNIvEgQwcGePxTx8he8uMCW/kaWizAum29qILA8KYONm/p5tN/8TRTR6/geR6yqiBKAmbTYGV8mc4Nney9ZRNPf/4E4yenkCQBWZbQI0Fc16OSr1FURNLdCbq29vLMF06gaAqCJBIM69RLdZSAxr7799HZmyC7UseWREa+dtpXvFNhmrUWjuXiOi7RZJhqvgaehxrWCYY1chOLmC2HVHeSVHsEz3Wplxp4rr9T4FkW2dksWkhHC6rgOlRKDfo2dfmxf02D5z9Vxqi3UDXF32L3POLtUZ+ASwLnnrmIrEp0rGsj2Z30S4ISMfRokNJKmY7+NlamspQzVURJYNnOMnVxhvahNL0bOpk6OYdju6zf2U//ph4e/7vnkFUJLaBimQ6tWovZS/M8+cnn0EM6rusxc/FanncIUfIHKvWQhhqUKSyWcB0XVVMwV+07haUSgbDOO/7LvWs2gfHT05x58gJG06S4XMK2nDUrSrwjRjQVIRQLsjSVYfz0NBv2rMN86SrdGzsRRZHZSwsIgl/wdOKRsxh1Aw+QFJFb3nOY4QMbuPD8ZSr5qm/tEQQ8PDIzObSAim3YFJaKfOwX/46+zT2oAYXhAxu46Z2HuOldh7nwwhVqpTpqQMGxHTRdwWxZ5BdLDGzrZebiHA/92ePseucwR37kADtv3M7EmWmWpzOMnZxkaWKFYCwIHrT1+8PH556+yB3vvYlQPMi2I5vYdmQTxv/P5OP/7TOce/oSbX0pCkslwMN1fBKsh3TmLi1w/tlLdA62E4oH2X/PbgAWxpY4+fWziPI3iLIo+YO+ixPL1MsNQrEgA9t614qNfhC4Jsh8rznoP6y4RrBvu+02fvEXfxFFUfjTP/1T3vWud3HvvffyX//rf+X9738/bW1tjI+P82u/9mskk8m1npHrBP2b47qC/sOB6wT9e8QrW0JlWcZxHGq1GqdOnWJ4ePh7agl9rXhl/OE3w/hcjmPnpgmHtDW7SqZQ4+FnL9IWcigUCmtZ569EJKjxU/cf4uGjo4zN5QjpCofWpbjvxq1cml7h8nSG7nQUXZUZ6E4wny2Tjga5/407URWJq1MZmk2TtuQ3PizWdSYwTQdNlJEliSPb13GhCHNzBRqeg6ZIeK6HLTq094QZ3NpLStX59KdfolhuUGi12LzNj5GRRJEtvWnOVFpMvzSPa7jEYwEqpSbZmSJRN0pbXxzX9YjoGqmeKFsHEuSWaly5PErDdTCrJiXbVys1SUbvCmLVLObnV1AFiWAsQKXSRLBcYskQyc4IXkShrzvBzPE5kKDYMnBkAU8RaVZarEwX0JMBEu1hHNelVG6iBBQ0VcbxPBAFBMulvTdOeDDB5s2dPPLAKaotCz2u40oCjgSW6dFSJfqH0miFFn/z21+jnK0hqyLhVBgtFUIAdFlkz+5+7rx3O889fYVSoUk0GaSUrYEs4XgejZpJIh3mjrt38ODHX+Dqy3OYhkM4rBOM6JgtC9d00CI6t799D2OjSyxfWkQNKnh4SJJEI1+juFgk3Rln665ennzwNOPHJmmUmyhBFUmV8RwHEGhUWqS646zkalx4eZJwPIjtuOi6TK1QJ96XZujwRtq741SaNpfOTDN3ZQlNV5AVCaNh4AkiVstk26ENzE8ViLVFiKfCTB8PUVougySxbmsPlmGTXywyuKOH2StLyJ5LLVcHWUKLBDGzJUTPRRQESvkaPcNd5BYKLI0vrcYWujiGSbo3TbIzRmYmR9b2y38c08ZzXAQEZE1GkkTq5aafwFKqM3txbo00r0xmiLXHWL+jn6nzszRrLbo2dDCwvZfMdB5Nl/xjHYdyropTd8EV6NvRhYNDtVrh9PM51LCMoilYTRsloBCIxKjka2y/aTPhhP+3VM5W/Ex2XSHZlUDVFURRZPrSLLIqo+gKy1NZPDwSHXGMlkm14MfOOY5DJBkm1R0nHA+Sncvh2C6qrtKoNPFcl7GTk4x5Ho7jIskiqa4Et7z7MAtXl1i4uoSsyjSqvsUqN1dAEAUUXaGaq3Ll5Qn+z//9GRRNoWuwA1EW6dnYydJEhjNPjqBoin8zoCkIkkB2vkDf1l4kWeLk186haAq3vPswu+/YRmGpSCQRRtEVf9bAdyshKTKRRJjFsSXSl6MMDq/3c9kP+TaZr37scb7+8WdIdMZoVlosXl3CWE2K+sSvf54jbz9AojNGz3AXWkDlhrceYObiAoGQjigJ2JaL0TBQAypnn7xAo9zgsb95FoC7fuKWNWLcPtBGujfF8mSG7qEOBEFgaTJDvdzg+MNnwPMQRJGBrT3c81N3/MBy0K+t999MQW82m6+bGPQvjWsE+5577uHd7343i4uLFAoF7rnnHn78x3+cT3/60zz66KOvesyf/dmf0dfX9y/xdK/jOn6guE7QvwdcI+e2ba81lF0rIurr62NgYOB1vf53srgsrJQxLN8Xfg2xsE42X2ZkdIL777kVXde/6WO722L89NsO0zRMvvrocc5fXuF3/uTrKEEZw7DWYhoB4mGdSsOg0miRjoVIxYOomkK1bqwp6LWGSUcizAffdiMI8NSxMUqmQbHSxLJtdE1ezUNW2LpzHVdGl5nOLxAOaniCRzlb59zJGW64ZRhlNUkkZArISCR74xQqDTxNxK17lBeqyEEF1/VIpEOke6KcvZClXjZpb08S7YmQccugyvT0Jkj3RMk1G7Rm81guuAGBqmUihRWaFYOGAql0gHhEZ/emHs48epmGaROK6AR0hSbgORaJRJCeHZ2EoirlTBNBEvBMBz2iYbsurZaNoIikNrchFFo8/FdHmZ8pIEoiYneMRG+ciiTiChbD69voiwd58IHTtFoWii7jWA7VbJWEJmOLIt2dMQ4cGuSRz53i3MlpCoU6muIPanqmjWg6qAGFt7z3EFdOzXLmxXH0sIonWCCKyEGdrk2d2LbHzW/aTt10mPzKOUzDBkX2M9Y9cB2PSqbKG999gEbDZHmmQCwVojqfW2scVcI6WtBDkgTU3gRnX7hKfi6PHtLRghqmIWA7Hq5hc+TeXZw/PU0woLByboZWvkJLEBAlgXhbjPahDjRdJRwNMjc6gqpK5AMabQNtlDMVqvkaiWSIZq1FLB0mEgsxfmoSq2WtetM9Ut1JEBy/sn6lTCAeItad4NKzo2hBDUEAXdNolJtk53JsPryRs89eXmvPzM1lcWyHcCqM4Hl4rkc4HkJRZezVqElFk5FkiVKmgijV2HhwiCFdIxT1y5UmzsygaAqm4Q98qrpCqiuOUTNJpOO09aTWYhbPPHGBlmLSuaEdx7ZxXIflsSy2Y3Pl/BjVlQYCkOyOEwiH6Nvcw/TIHLIq+X5oD7SwSiVXRVYlJFkiv1igVW3ywj+8TGY2h+e69Ax3cdM7DxFOhDHqJspq6Y+sSpgtl/kri3Rt6PAjLxeLTJyd5q2/cA8/+Vvv4fTjIxSWS7T3p3nu88dYmljxYxkbBnrYH7xcnsyw9w07CKz+e/89uzAaJlMjs+ghFVnxdyPyi0UEUfQHwgUQJYFLL13h0Jv3su2mzZz8+nkiqRCKIlNYKmIZNlpQ49yTFzANC8uwsASL9vZ2Sl01eoe7CCdC7LpjO2efuki93GBlNrfakSjguS7Pf+EYl4+N0bWhg6G967nvA3ex/eZN7L97J2efuoht2NTKfrGQbdhoQZVQPEQwGuDogyfo3dTN1huHAVBUmbv+3S08+n+eYnF8ZW13QlZlUt0J/3VpWUycneHMkxde1Ub7/cBxHARB+KaK8L9mD/o1tLW18Tu/8zuYpkk6nQbg93//9+no6ODEiRPU63UEQeDf//t/z8/8zM9cV86/AzxPwHudFe7X+/z/FnCdoH8PeGVL6LWFoFKp0NXV9U8qlF8PfCeLSzwSQBJFTMtBWyXU1VoT2zY5tH83gUCQp06MceLSHLbtsndzD7ftHyLwii3ZYyenefjJcSzbIRwyqNQMDBx62mNrw6HVhkF8NfFlaqnA42fGqFomsytFYkGdcFDF8+D2wxuJRwP82WdeYGIuRyweoG0gzsJsAVv0SPUG2HlwiFLLpLpcpzMeRtIkcpUGUkCmXGrw8tlpelaHTdtjIeaXG6wUq75Kq8kYARnTdFACMhuG2omnQ8wvFSkVWuhBmUyjjiV6iAmNsuHQHpYYO7tAc6VOq9rCEUWifTGiiSCaIpMxHCRR5NYDG1jXnSCfrWEJ4JkOsigQWt2yN2QRrTuIUWmRPb1MJd/AEQScll9yIgigKjLp4TY2tyV46tnTNEwLKaDgGhalxTJKQEbUZNSAwg0HBvn7jzxBudTAlSUEUVjN5nYpLVWI9ic4dMcmThyb4PSJaQIRDc1ykDwQk0HauuNYrscNt23CEDyee/gcruUghRXfIiMKNKsmpuXxhnftQwuqjL40QTQWIF9u+hnRnoem+/aV4V293HLfDv7s//ky1WyFeCpMJqBiNAwESUS2JSRZJNqVwMzXyV9dollpYpTqyIrMht0DhEIKm/cO0Kq1mBmZpzSxRHGpiBLwfcaiAJVcBVGROPKOA5x95hLzowur8XYeelCjfX0HhYU8lUINSVVIDHZx9KtnkWQJIei3TDqWQ24+T9eODjbv3kRmOkesPcbC5QUq+RrtA2mMmoHRNNHDAVRdplaoEgipeKKEGlDQgjrlTJlwPERHfwrXcSlmyj45En2ClF8oIGsKic44AgKFpRIbdg3grNpMxk5MkJsv+EReErGaFtm5AvGOKPn5AuOnpnEdl3RPgkgyjKzIFOfLqJo/uJjuTFHJV8mMFVB0/8ZjamSOQFRj8+1DKBGJWs63Uhx82y6OPXiaVslAVv24QT2o0WwYvPzIGTbsWYcoylw5PkG93CTVkyCSCqMF/L9NLaiyMLaEYztYpo1rOyS7EtimzeTZGXbcuoXeTd1r68LsxXnMloXVNKmX6piGjWM51Mt+8ZDnerTqBuOnp7npnQfpGEhjNE3SPUlyCwWsloUW0pg6P0uj0sS2HPSQxslHzxGOBxnc1c/k2Rkc28E2HRAEP3FFEv3BVkFk5uwCX/jtr9K7sZtkV5w733cz63f2c+TtB/jc7z2E0TDQAppvUXMFBNfDMi2i6QgXX7hC5/o2bnrnId7xf93H3jfuZPrCHJePjXP2qQs4roMoi6R7knSsa2Pu8iLjZ6bWCDpA/5Ye3v8/38Xs6AKu4zJxdobRl8YIxXwfuKorhJMhJs5M/0AJ+rUAgn+MfwsEHSCRSLzq352dnfzBH/wB9XodwzBIJpP/Qs/sOq7j9cF1gv5dwnGcV02Pu67L9PQ0giB83y2hrxXfSUHfNtTJUH+ay5MrBAMqlmVTrta448AQQ+t7+ftHT/PkiXGkVcIxMZ9naqHAB951I6IoYFo2X3/mEgCpuE4sGiEaCTA+k2V8IkuqM4JtOyiSxO17h6jUW3z6yTPkynX6B1MoukSp0KA7FuPem7dyYEcfo5MrzCwW6etMoCgSqVgQQ3DIlWtI7Tor9SZYHmFNAVFguVhFFAXisQCO4eB6Lt2dUY5sX8/yRI7xkSUs0SUc0sEDGRExLtMKQnalzOjRaQTLo1ZrIaVV2gdSJMNBQrrK4lKF2ngRM9MgHFRoNVpYdZP6fJlIVEcUBDRZor0vRlciwiMPjzC/UKSxmjlezNSQZRFNlAj1hxnuTXPl+Rls2yUQ1ai2TDxZIp4MkuiIYkrwhru3c+qJyxSLdVxNwhE8kCRs0yY/VyIykGTjzh7ypToLiyW/LVERcV0PURAQZRc1rHHD/TsJtYX40qeP41gOjiKAJOA4HkbTxnQ9jrxhK4rt8Lk/eYL6cgU8D7EkoqbCxNYl0BWJAzdu4MANg3z8w09SylZJpCKUF0vYLRMXAatlEYsHOfyGbXzhI08xdnoaYzXjOpKKYNVb1MtNdEWibX0aK6Bz/usjeICyegNnWTYzF+fZsHsdPevbePHhs6xMZqnM5HAsBzWkIdguruPgeS627ZCvGUydmSXWHsUybX9HJl8jEAvyxp+5i2Kmium4KJLA+a+fxbFtFFnCtW20kE4gqBGKaZRyNdbv6EfRZFzTZOb8NK26ycC2HlzbpVqs+WkcxTqebVPOFREEkXDqWm17nUpIpVVr4Xmw6eAQxx8+DeCrzg2T/EKB9oE05WyZ4w+dwjIsoqkw9WINP/7G9yd7nodt2phNi8mzs4STfqHV9IV5AmGdw/fv49JLVyksFgknQuy5cwcvfeUkVtNClnyCHo6GcGyXykydjfsG8TyH3EKBhYlFZF0m1CaBC5LiZ7MvjWVQAwqhWIBW3aBtIMXSxAoDW3vQgxpt/SlkVcZsmCyJIsG4TqvewmiYtOoGtYJMfrHA3OUF//H9aeJtUTYdGuLSS1cpZSuIq+uH6zhk53I897ljSJKIbflk/w0/cQtv+IlbeeQvn2T+yhKmYSHKIq7tUC3UCET8HYdaocZnfuOLDO1ZjyCLbDq4gc7VcqOXvnySuSuLaAEVWZZRVAnHETCbFt1DnWRmsjzz2RfpHurk1h+9kQsvXOHc0xdJ9ySplRrUCjVECVzbw2xatOotXn7kDEfecRBRFBncNcDgrgFufc8N/N77P0opU6FrsB19tWnZ86BaqPPCF1/GdV0GtvbSv7WHQCSwlkKTnS/g/SPBxDYdAuFvvkv5veBbDYjCv24P+ithWRaSJL3Kh+84DqFQ6AfSMfJvCS4CLq+zB/11Pv+/BVwn6N8FvlVLqOd5qKr6z9Za9p0UdEWW+Ln33MTDz13k1MVZXKvBfTcN89633kSuVOelkVnCAY1E1E8hqDdNRiaWmJjPsbG/jWrNoFptEQx8Q1HXVZlYOMCmvja0hE4kqLF3Yw9bBto5dnmWbKnO+q4koiCQioVYzFVQHIGTL03yD587iYtHxbbo7fRzbE3LIiQ5EA6wLhVm59YBuuMRvrh8kqm5PGgCQV3HNGyCAYWe9UlCIZ3jL04wM5vHdByaVRPPcBFEgUBIo3tnO9Vqi8pcibCqoIZkSqU6xmIDJxHBS+hYTZtoQKE5XUVTJSotCxtAFmnVLXJzJbSoTrw9RFtfjMeeuMjcXJFARCWYClBZbUgd2JCGgEQ0EaQ5W2VlqYya0BEAQRGxLCg3LDrSQTavb2NwXZqvLJVAEIiEdWoNA0tywPMIJwJsuqGPXRu6+MoXT2ICruf55FUAHH8octv+AdKqwmc/9DiVpQp44FRbxAeSSFGNkCyxf/8AB/b08//+1N9Qy9ZQgxpmy8SxXVq5KgVdpa8/zcZt3Xz2I08zcXaWZtNE0xSC8SCuYdOsG0RjYfbdsYULFxY498RFAvEAVP0IvVatSbQrweCBDWzbv46x8SxXT09j1A3koIqs+UN+kifh2g7bDq2nWqpjNU06B1LUF3NYDT/aTgvpROIBSitl4r0parkahYUcsqoQDOk4ooge0giFVJIdMbIrVfoG25g8PUE9X8GxbCRFRlEkdF0m2RlDViWWx5dZvDSPJIu0DbQRb49RXC5RWAriWg7NhsHeu7Zz/KtnqRdrBKMBrJZJLVemZ7iLUDTA/OVFEAR6N3eRXyoiyqJ/syOKyAo+eXc9lq4uE04EUQMq2dk82bk84WSYcDxEs9pE0YLYpq80ByI69mokoKzKGA2D2UvzbD44RCgWolqosji+jKxIhBMhcotFfyA2HcZo2ETiYZKpBEbDILU7zcTIFJFEGLNuk+6N4zgOpVwV27Yp5Ao8+/kXcSwXRZMJhHX237eTVG+S+StLvk1GENdaRAXRQQ9qWKZFJV/joT97jK4hv0k1kghz6M172HfPTh7840ewDAtVV9f84bZp06y2aO9PUy1Uyc3lOfPkBQ7fv4+e4U6unpwED+avLvLsA8eQJAGraa8OqToYTYtwIkysLcLC1SXa17Vx41v34+FR+ZsaqZ4keB7L01lkTQbPo5Kr4tgu0yOzLFxdYsOedRx4027GT00hyv7AtOO4eK6HpNicf/YSRtNgeSrDH/zEn7Pr9q30bOxi4/5BVF3hhrfu57G/eRbLsJFVm3K2gtk0ufryOGMnJwEIhDVufvdhbnzbgbW1ccPuAc4/e4mliRXi7VF/Z8C0X6W6f7/4Vhno8K87xeUa5ufn+eVf/mVs2yYQCPCJT3wC+IYn/8Mf/jDbtm3jrrvu+pb2zeu4jh82XCforxHfqiW0UqmwZcsWLly48M/2XF5LzGI8GuBH79nNuniLeHx4Td2fLhVoGRbtrxheCuoKuVKdfLnBRiAa0YmEdRZXisTC/lvEtGwkUeC2/UMc3LuOZ14c48sPn+XvmyauJNCSHMRX7B54hsPoqUXCqkIkrFMsNyhVm0zoCoODKbKZLJ6g0t8Z5LYtnaDqPPLMKEXLoNYwcGseTsP3EnevSxJNBDl9bArFgmg8QGIgTnOmgKuIDG3qpK0/Tq7ZIphr4ckSjgiFWhNBl3CrJkvTReJuFD2g0t0TZ3qshG26qJqEpkqIsoRVswjFAwwf6KPh2VCyGLu8jB0UqdccBFlADEpUWw5NVUAuG0ydWiSfqdJqmITNEKmBFEFdJe9WiUUCvOMte0iEdV44Oobper6mYDroqoxrOZiuR/umNjoUja/93XEWZvJrsYOC7cLqY7qH2nj7ew7w5//zISqFOlpYw2xaGA2T4kwBvTNKd0ecoeFOPvXRp8kvFPEEAcd1/ZQJwDFtBNflwBu28szTl7h8coZQIoArSciSgFFzSW5oJ9kRY8/hQabnCow+c5l6oeYTspCGJIuIkoRj2Lz1P9zMxTOzKIpER1+S6kwGURL9nYRYgEhIQ5VEdt20kc/+0WNk5/JoQY14Z5yVSgPXtJHCHq2qb63p3dTF6NMXaRXrCJKIUaoRS0dpH+ygd7iT+bFlps5MMX1qgsUL036OO7L/WgkCK9NZkj1JystVViZLhGJBBAHK2UlCyTAD7VFq+Spmy6ZtfTvzE1lc2yEQ81NmZE2mXqqT7IzTNdRFNB0l0RXHalq8+KWXCSdCROIhqkW/GVaP6NimRSQV9m+AGiaiIiEpEp7j0t6fWos1nb+8hB7WUAIqhYUinueR7I5jui6eC4qmUMlXCUR01IBKJV+lkquhqDKyKlNcruB5HsXlIotjy9im74cXFBi+cT3jL86ycHnFHxhVZVJdSWq5GqquooUUGuUm9VKDR/76cRBADkt4tsfAzi461rXx5MdfQBBELNNCkkQCEZ3sbJ7BXQMkBjsoLJc4+g8n6BzsoHN9O5ZpEwjryKpMbj5PJV/z03/qLSLJMFrQL0Y6eO8e+jb30Le5B8C3g7w4hhZUyS0UKS6XsEwbURSYHpmlY3079UqTi0cvc+Nb97PlhmGOP3QaURRQND9G0m7ZeJrGyLOjWKaFbTp84n9+nj137iDWFmHLjcOMnZqkVW/h2H5LsNkwUXQVWZZwHY+zT10kO5cj2Z1g86Eh7vuZu7jh/n0Ul0tcOnrV/12EdbSQhh7W6VjX5tubFou89OVTbD68keRqWVvPxi7uev8tvPzV05SzVfSQxs1372LbzZt/YGv+t2oRhX8bCvonP/lJHnjgAbZt28aRI0de9b1rQtmv/Mqv8Cu/8iv8xm/8xj+bWPbDiuspLj8cuE7QXwP+MTkXBIHJyUlWVlY4dOgQjuN8z82e3wuuKeiW7fD08TFOjMwCcGBHP7cf2uhv+bsuZ86cQdd1tm7duma9aU+GCeoKlVqLVNxf1GsNk4Am05EM02iZPPTCJYq2QaHSpFjxSDf8QahNQx3s2dHHMy+O8YWHz/g2D00ms1Khblp0tcVIxn2yszhdwLNdugdiZMsNLMnD9Txmp3Jka1WiIY2u9ji37O8lUyxx4qRvqdmwoQMUgZmZAoGkzpat3egRhcnpPFbdItEWYblSw8BFSeo0GxY50UI2TdZ3J8nlHbJLFRwHQrqGgEvBsPEkGBhKk2oLk8v6LXStmkEgqCAIHioSjiJiR33Pe+5ChoWmTa5QRwkrdG/pQAnp6IpMMV9nXSzMhZNXME171dsN9XwdWZUJt0fwHJfeoTSYDp/++FEWF0tUqy0EQaBebSFJIoogEB9Icv99u/nCXzxPJltBDCl4LRFPFFBUmVAqiKorvPenbuWxh0bIZ6p+M6mHn2cuCBh1kxBw+M7NHDs9zdWJFZBEX82XRD8KTxURJYHD92xnpd7k0osTWHUTQfAQdQVJlEAUUGSJt/74IUYvLXL5qYsUxpcxGwZWtUlDlhjcM0A4pNK/uZNITGfk6BiNcoNQLEA4EaJerIMoogjgmRZ9e9bx4lfPMnNhnlbdQNVlEAS6N3aSny+gyCK2JxDqjnPpxTFqhRpaRMcybERFppQpo4Y0Dt+7i5e+NkIlW0EPKD6pV2W0oAKeh+u4IIo0TJf8YplEZwzL8HPQzZZNvVDn4PtvIrdYJt4eJRDSeO6zR6lXmmvJLoFwgHRvEkkWqRZqdK5L4zgu8fYo0XSE4lKJ/i09pHuTuI7L/NUlZEXGtmzK2aofV9gepWt9G/Vyk/mrS4iiiG3ZtPWlKC6VWJnMoEf8nZbsbB5JkShly5x45AymYaPqClpQxbHc1dp78BxfATdbFrOXFv2yo2iASr6G0TLITObpGEgjyX5k4pbDQ7QaBi8/fMa/fssmFPYz1OsZg5vedQDHc8jO5zFbJhYmWkRFDSmIgoge1inMFUEUsC2HwnIJz/WoFGrMX15k25FNLI4tE2+LIqt+9nij3CQUD1Ir1anka7i2n4py5okL1MsNoqkwQ3vX07upi66hDkZfGqNaqPnrkufhujB+ZoqVmRye55FbKHDx6BW23jjMLe+5gRcfPOHHIboeHgJm0yQYCSDJfgrU1LlZWtUWnYPtBKNB3vYL9yDJEotjyzz2iWepl5pIsoggKmvtsCDQMZDmyssTbDo4xJbDG3nbL76JI28/SLVQo9UwePCPv0aqJ7m2fiY748xdXmBlKrNG0AE2Hxpiw551VPNVgtEgeugHW1j07RT0ZrP5r5qgN5tNvvKVr/DOd76TD33oQ2sRitcgCAJ/8zd/w4033sgv/dIvceTIEe69995/oWd7Hdfxg8N1gv4dcC3r/B+3hE5OTnLw4EGCwSD1ev2flaCLooht2/ztP7zM8ycnEFbFgiuTGWYXi/yHdx7i4sWLmKbJoUOHXqUmJKJBbt8/xFdfGGV2ubj2wXNk1zrWdSf51KOneeHcJJFkkC7XYWW5jCV4vP2NO3nDLVtQZIlnj40hyyLtab+EKRTUuDS+zMxMjlIjhAfoooQYUKk0DIq1JoosEQ5rtAwTKSRycN8G3nBgI9VSifOj0zSaMNjrR4VtGuzA8FwaTZMrZ+epZ+qInoDrgYOHp4pEgxohTSGXrRGO6rz5yBZSwQCPzFaoVVuEE756KrigShJyOkDVNFl5bhq3buOtko9qvoGHix6U6diQpr8vTW4kA6aLFJDxJAGjbJCbyJMebsOoWwSjuh9BWKgjajKW44Ak4loulZUqUlAl0hZm58EBHv7KWWbnC8ghBSWsYgkCqiTSvT6Jp0ocPLSeFx69yNx4BjURwAMEWURAwrYdQhGdg7du9CvZc1U0TUbUFUzbwQZEwUPRZW65fxcVy+T0U5d9tTCgYFRauOIqAWo5pLujJLvjfO1vj1JfrmCZNka5gRzWWLe9j7Auc/DIEJLr8eznTrBwZsYvfdEUXM/DblnMXZxnYHsfvcOdPPAnT5CZyuJ6Ho1yEzWoE4rqlFYq6JpCqj9FS5Q496WzKLpCQBLxXBfbcigVGhx82wE6+lKcfXmKpmFTuDSD64GiKIiKjCyAJwl09iVpNgxUTaJ9IE0lV0WQJWzDRg/rhBMhWnUDq2kSS4WZuziDXTVRVYlANEhbTwLPcynnamgBBVwX27RplGrUyw3U1VQWy7BxnSC9m3tYuLrIzMiMH9mZCJHqSVJbJaiC6BPErqFO6sUGK1MZP05PkP388ajO/jfu4uLRy1TydcKJEB3r2ihlKqhBFdf2oymvDXWuTGVJdieItUWoFWosT5YQJZHOwQ4cy8H1PILRAPOXF5BVGdtyMJo11KCKaZpkZ/Pc9d5b2XKDRKPSpLhcwnU8kl0J6uUGzVKLliBgW77qbZsulVyNoB7Eabps3LSRmQE//z6SDmEZFkvNDKIkMPLiJcyGBfitsrHuMP1be9DCGvNXl1B1Fdt00IIazUoTRVdRNIGWZbA4vsInfu1ztPWnEBDo3dzNW//T3bz5Z9/A2Scv4jq+r1pajVp1HQ/HcQjHg+hBlac+9QKDuwa45z/ezp47trMw7u8cfPp3v0B5vua3xQZWIxwVmUa1wcDWXuavLrE0leEd/+U+JElk/uoSk+dnaB9IM395CQCjYeDYDstTWVams5x57Dzrd/ShaArtA2naB9JkZnMomoLRMPz2WcBsmbiur8C/+OWTxNti7LxtK0N716GoMsmuVw8y/qDwb9mDXqlUmJiY4CMf+Qj9/f2v2sW+BlVV+eAHP0g2m+VP/uRPuPfee9dKja7jn+J6issPB64T9G+Da+T8lRP02Wx2rSU0Go0CvqJ9rentn2NrTRRFlnM1Xj4/42edr6o11XqL4+dm2NIfxGoWv2nWOcBbbtlGVzrKqcvz2LbLzo1dHN4xQLHa5NzYIolIkHgkQFAVCYYFTE9l3WAb0bBOs2XRaJpo2jfOK0si8XCAnRu62bilk5CmMnVphSceu0ip2kQAZFGg0bKIpjS6h7ooFur83d++SL5QoVRtoMQCrOtO+s2PgkhnIsLc3BJW3SYeCuA4LpmVCo1xg+7tHeB61CsGyWSIZHuYCxcXmJnKU602sAUoZWuYQRUPl2RHkPRwO95Sk2bdIRIL4ErQsGw81yPWFqB7qBtUic5AkPFiHUcRcFsOguqXkNQKTdRcnXAyQOfGFMWzK5img6rLiLKIA+B6yLpMz54u2tojZCfzXDwzixrVUAWFQFDFdT3Mpo0a0tiyuZNTD55n7MICZsPEqZuoySBeWMERPFRdZs/Ng+wc6uT5Ry9QytZ8v2/DRAuqeJaL3bTZuK+f9liQz/3lczSKdSzDQRIFJE0G1wPXI94e5vBbtvHkZ09QXCz5jZyr6qVRarB4dZlNu/tRQyqf+z/PU5zL47ouHjKCLCIj4LoeruXQMdzFuXPzzIwsEEqEsFoWeB6tWgspGeaN//E21IDG0kKJZqZII19GEEXUoEq8PYpt+gkde24ZZvTMHF29CSo1g/KEilduYBoW6e4E3QNJliczbNy7jonT0yxcmsfzPLSITrI7SX4ui2NY1Ao1rJZFvCtBLV/FqvmpPG7QT5txLZvBPevJLxRYnlhBwMMyLMqZMrIqweowk9kyqRY8XNcjv1ggFA2iBVRyi0VYKrL7rp2sTK2QXyoRbY+hhwNk5/JE01Esw59NkRUJx3LIzOXYfGiYRGcMs2Vx+fgYZtNk/fY+GtUmnuuhh3VmLy0QjAXxXI/CQhEtpBLviNKqGZgti/aBNIIg0GoYCKJIOBHCqPtJNGbDpNU0iLVHKGUq1Ep1FE2h1TBIdMb9uMW6iar7N1hWy6K4UubE185itazV2D4Y3r+B3o1dnHv6IqVMBT2okepKUMnXcJoukUQEs2HSrDU587ULzI8tIYVAsSTCyQB77jnAyGOXmTozh+Q4CIK0pqYbDYP+LT04tsvsxXnOPnWRI+/w011qpbrv06+1WJnOguDv1EVTYdSAxuLECksTKwzuGqBzsJ3OwXY8z+OFx19kwcvS3p/m6skJqoU6eB6NSoOjD55AC6mUVspk3nGQrsEODty7h7kri7RqBoIo0Cg3AD9bvrRSxmiaPPWZo5x7dpRNBzaw5caN7L1rB219KTbuW8+5py/6Hv1Vi4vZspg4M004GSI3l2f20jz3fuAuNh3Y8Lqt+d/Jg/6vnaCbpsmOHTu+7esAcOONN/LpT38a4DpBv44felwn6N8C18i5bdtr5LxUKnH27Fm2b9/+qmKIawvGPxdBlySJXKlB07CIrw56AoQCGvOlApeuTvOjb7sDXdexbQfDcgjqytpiJYoCB7f3c3B7Py+fmeaxp0f54hdP0dEeoVJp0Lm6dSsIIHi+NaXRMv2viRCJBBifzhLQVVRFotXyfauHdq5j68ZOHvjqaS5cXaRh2zTLfhyfJZlICmzZO8Byvs7C1SWSkSCKJmOVXCqLVc6fn2PHzl5M06GYq0HTIZkIUWq0aJk2ki5j1k2WpvJEUyECQY3hnV3kq00uzBcIh3SksEqgL0wlU0dO6PQORKnaBkrTpZhvYkuQrzaQJREtptEsGzQlgVAswJ5tPTQzdRoti5Cuo6oykiRQcVvguPRtaUNLaMRtialCHdfzcAwbSZVwAcvz0NJBBroSTDw/yeJcgVqhgVJoIFkuid44ggCuLPOmu7bx1AMnmbi4iCuAuErsjFydoBbFbjn0bu9gc0eSr3ziGLmVCtWqgSwKIIpguUgedA21c+97D/HJP3mKcr6GFtKQBAtc/xeoxQMMDLax64ZuLl/KUl4u+95tQUCQJSQBbNNG02X69vVz7NgEy7N5lLC22gSJ75HWJaIhFTWgIiWClEcXaBUq2I0WeiRAsiNGXZGIRHVuvHs7jz14BgyDK89cpFmsgQCNgoDXMhnY2Y8oSegBjasvT9CoNJFViURHFKfRxGiYCI7DwtVl9LBOs2kyeXaaSr5GKBqgslxGD2u0r+vAtWxKuSp6JICgqsyOzCLrMjgCAr7/u5St0NaT4OKxCYyGQaI9RqPSwGxZhGJBJFnCaJqoAf9Gd+r8LImOGKbhD5PKsuQnkxgm3Ru72f+mPYiSyNipSar5KoGQTrPWQlZk0r1+s2iz2kIdVMgvFNBDOu39aZbGV2jWWqRXd4qKyyXUgIKk+JYay7AwWiaRRIjhAxu4emKSqfOziKKAqqv0bOxk7vIikiyhh/zhX7NpUlgqceaJEVzb9XdgBLj53YcBP2PedVwQQAtrGHWTRrlBvCNGs9qiWW3y3OePsX5nH8MHN5CbL9Ax0Maht+zl7371ASzDxm75g7jheJhGpUnvuh66N3RQrzVYHF+mrTdFx8Y0y1NZgnEdWZWoF5r+GmrbLM9k/NbeusHYqSluefdhdt2xjec/f8z30UsikiojeR6KKvlNt5aD53l85rceZHBnP4GwzubDG9m4fz092zuoTDeZPD9Lo+wLAJ7g/5yzowsEIzp6SONLH36UH/vVt3Pwvt3kFwqc+NrZ1ahGf8DfNC1UTUHV/Yz27FyeWFuU4nKJWrHBG37iFt70U7cTTgQZfWkMz/XoHe5iZS7PwLZe/1zAwtgyZx4fYXj/4OtGCL+VB93zvH/1CrphGESjUTKZDL29vdi2/SqSfm13G6Bara5FIF/LqL+Of4rrHvQfDlwn6N8E30w5r9frnDp1io0bN9LV1fWq468tFtdaRV9vSJJEPKIR0BTqTYPIaiRYqVLHc20O799JIBDk4Wcv8typCVqGxbqeFG+7fTuDfem185w4O8P/+dRRTNNG1xUuj61QNyxcz2PD6lBUrWUTjYUY6Eoyny3zmcfPsNioUWkanLuyQCwUIBRQ2bW1h93bevnSY+c4eX6WVDLEtj29XL26QrnSQEvKbN+zDiGoUBmtIwkCgbDKfLaELfnEf3mhhKlBVzLCYHeKsbk6tZZBy7AJ6AoBVaZoObi6RNv6OH0DKVZWyrhlC9tyyLeaWI5DPBbEsBxKtom2VKE+VaEulSiXmwgBmY7BFJIkEFBkVgyHRFLhx+/fw8pSlZeWFnBcF6NmocQlVEFEAYitxvedy7GUa1DK1X2bTMvGs32/sBLR2Hf7MIVLGRam81giCKqIZTkU50tIukzTcEh1RMDzOH9iCtvz8ATwJBE8cB0Xp27RvbGdd/z4Ib7wty+SW6qgRTQU18Wz/dSaRH+SdHeCO+/ZxtOPnCc/nUUQBVzPRVAlZEGgVbVJdcZ43wfv4PjRizQbvoc/v1RCkARcByRVIpQIsunAOnKlOtnRZZqFGmpARlIkWB1YFV0PRRKID6SZeWmMpUsLGA0DsW7QKNSIRDSiUZ3N+waYGpnn4vNXKE4s0shVUAIqru3iui6VXJW5y0vsedNuvv6ZFymulNeU3FbNINmXxmoYSKKAGg6QXNfOSw+fwzAsYm1RzKaFqEhUcjW23byJdTv6Of3cFURVBtNixbJBEol3RAkEFERRoFVr0WoYBCM6iqbQqDYRJQkB//UORIME40GMugEetBqGr7J6HqIs0taXwnM9GpUm0XSE5ckVZE0hmo7QqDT9uMmgitkymb+ySKIzTiVf4eSj57AMC0VTiCTD9Ax3UspUuPLyOHisVcJfPjaOFlQJJ/zUl8xsnvaBNG39ydWWS5uOgTZ6NnayPOX/ns2WhSRLqAGVRqlJoi1OKBGiWW3QqhtkZrKEEyG0UALP8ZBVmVbdYHF8GVESaVZbSLI/DFov1ekYaCMQ1lm3vY+licxqTnsS23JYns5ilP0bGkGESraKZVg4pkOrYqC6GjfcfZCpl+cJxgIEYwFaZT9b3XUcRp4bxbFdHNNhZXaFerPq/30FFbKzOQRJRFFlHNvPU9dCGp7r4jowevQqjWKdSDrqk/sfOUTbYJLenxzgL//LJ/0BYdEn557nraXsrN/Rz8LYEmefvMBtP3ojb/ngG7npXYfILxVZuLLEZ//3l3Adl1A8SL3cIBgJUCvVESWBVE+SiTNT7HvjDpJdCd74k7dx+48dwXU9jv7DcYqZ8ho5BwhGAxSWiv8fe/8dJcl5nmfjV+XqnCbP7MxszgGLRQZIgBSYI0SRVrIp+pNkSdb36bMsG6T8U7B1LFE/y4GkZFmkJItBTGKmCBA5YwFszmlmJ8fO3dWVq74/3t5hAEBAJCjb5D7n4Bycnt6u6lR9v897P9fNykyZKIgoDRfRTY1Xsl6sc+x5HmEY/khTXNLpNAMDA/yH//Af+B//43887zf2yqJobm6OL33pSxw4cOA7br9aV+v/1Loq0L+rrqSEfntym+M4HDp0iJGREcbHx5/3b66I+H8sH7osy5SyOjfuG+PRZyewOh5hFGHbDrddu57d29fztUdO8aUHT2JoCrqucuL8AourTe7+v15LKSe6LQ8+dg7PCxjoF+jDXDbB9FwV3/KZWqyJtNQw4o5rNzHUk+HPvvQ008s1xsd6GB7IMzm5iirLvPuN+7lm+wi27XL87LygwHQXDdu393PkzCypviztOCIZRgwXs5TtBqsNizCOSWgKkqoTKxK9AxnedNNOCrrB5JF5VpfbmBldWDFsn2TKQB/O4XsBJ++/SGSHxGFM2/VIj2Xp6RW2o1ImiVXv0JlsoiGGJKM4Jmw4NJaa5PozWE2XZMZAz2k8eP9Zzp5ZpNVxiXQFu+MRBSGqrpLrSTN6zRA9HZkLc3UkU4WkShwJm0myN42a1SFjMDiU556/P4NPjKKqyLpKREDoRThNh+xYgTvetIvHnriI5wVIigyKTLfljSzL9G3u4c0/c4CDj15g7swSZlrH1FOQFmjCsO2xbrTIW37qAA989lmOffUYnuWKz27DRuvNEBoamXySn3jLXryWy5EHL1FftcimTMG/DyM0CfACBsZKhLrK6a+foFMWNA7fUZBNA10Bv+ORzJiMbB9modymcnYeRVPQEjpxGBN4PnNn5tl43UbsKOabn3tWED2aNsgiq101NCG6fPGcmx2fydPzpApp4iAQAi6M6LRc3vLLr6XSHbrMlZJMPn0Wq9rG0x3yvRlShQytaovhTX1UlhoMj5eolS06XeRi4Pvke9KUBvI0Ky2MhI5n+8yfmyeOI+IY8v05cn1ZOg3BypaAmJix3WNMHZ/C7bhkimkCP2D+/CL9473YLYdjD5wSW+eyTOAKb7aqyXhuQNxNHvXdANf20DSVdDGF03ZYuLTEjps3k0gnqC3XAYlcb5YwCEjlksRxTKfpoOoqhiQxd36RA6/fy/YbNhPHMbPnF5m/uES2J0NxIL9GcZm9OE+7EqElDFqVFrqpMbx5EM/2yRTTWHWL0rDwRTfKTTRdxUgatCptMfxueySyJquzZZoVC1mWCLwQTdMY2NjPk194ljAIheCMY0Iv4uzT50kVUkiS4JE//LdPsn73KKlskvJchfqSiq5rZIsZ7JZDImOCCYEb0Kk7nHn0Iuv2DJLI66gpmfX7RxjaMsA9/+VR7KaDBCRzYsEU+CFxDOu2DrI6W+HQN0+w6Y3D3PL6vXx1/b04lnif5s4v4nbEdyBTSuPaHs1ymxOPnOHmdxwgCmPyfVkK/TnGdozw3D3HaFXbmEmDTtNGkiXiKKa+0qQ8W8Vu2wxtHuD177sDI6GjdUPcioNFiMH3ArRuem19uYGsKnz+j79GGIQUB/Lcctf1bNj7yiVKv5gH3bIsgB/pDvr4+Djvete7uPvuuwG4/fbbGRkZIZvNron1arXKhz70IR588ME1i8tVgX61/k+vqwL9u+q7U0J93+fw4cMUCgW2bHlxrq2iKP+oAj2KIv7pO65nbKjIweOXKa+Wue7mbbz7rbfg+SGPHZ7A0BV6CwKnmEkazK00OHx6jtfdvBWAlXIL49vSQyVJwjQ0tq3r5/qb1lNvtmmtznPNxiEuL1SZXanTX8ygqwq6qrBz5zCXJld46MEzfOEzzwFgBT69w3kAoiikXqtRyCS489qt7N8zihTFPProeaYuruARkUhouL5PHEis39GHbGo8/sh5qittnDjE90OCqo1hqqiaytj2fvyUQudSHT2QMHJJas0OXt2nNlknk04QRhG+H2KG0PZCAlXG6/gohkIYhLRWLdSERjJjkh3PEjtNjp+YI1BiQkNG70nQqTkkUjojW/vQUjrD+TSH7j+P7fqkkhqJhE4QRkRhQKRI9G4oUVqXI5XQ8fwQXVfEQCLQkSCKAoobiuy7bRPNhSYnnplENlRi20dVZQJJIgwi9KTOW+66lhPfPMehxy/iWh5uo4NTt+nb1AuqTKaQ5JbbtnDp6CyP/t0hPDdE1hUiPyQOQoJyC7mYYcM165AliY9/6AGaZUuEwlguWspEkcCxPIY39rLlho0cfPQ89aUmRsZE6XrTwzBGyaW4/k372HLNGMcOXkavWmJLWRVzF4ouoWgKEjGpkQKzlyvUKxbJQhItoeM0fKIoRtFk+tYVWZmtMLCpHyUIcCoNOit1EtkEQ5sGkBXBxC71Z7hwYpZs3uTMI1M0l+v4boBvS3gdh7ztke3Nku/JcfThg9gNW9hAUgb963tZuLhAY6VBc1Vsd28+sJHLJ2do1y1S2QSyLLE6vUoqn2Fo0wATx6eRZJlMIcPqTJkojDBSBlEQii57JLr/juXgewHZUpo4htmZMkiQyqdwHU98L8MQq9Ghb7QHJLAaHTRDJV1IsTpbYdertrPjFnEdaVZaHL73BLIqiy6/JWYLFFWE/YRByOy5eSRZJpk2sVs2iiITxxGZUpoojAicACNlYFXb2C0bSZKorTTZuG+cbTdu4tFPP0VtpYFu6iQzJulimvJclUTaQNGFX92qdzj+0BmMpCFEu+MzdWaWXbds5ckvPIOiKoSh8Mw7lotr+2R7ZDFXYIqU03Q+xfabNjN3MY2qKdz5z17N0ftP8ejnnkLVxW6MJEnCMigpbNi6HmWXwtTJGTZu28ie123j2NfPsDpTJVVMYLcc/Lr47FidDucPX8Jpu8iyTO++LM1yi523bOPg1w4TRTHJnInniO9Sq2pRX27guQGN1Qa//YY/YmTzAOu2Dwv/+3gv179pH/d87GF81ycKI6qL9bWU2BhQVYWDXz1M6Ie84/9545rY23rdBs4dHGXy+AyqpuB7IXbbEemh+RSaobI6V+GhTz5BcahAvtsw+EHrxTrotm0D/Eh30AHe97738dxzz/HRj36Uj370o4yOjpLNZpEkiYWFBSqVCgB33303b3zjG6/6z1+irg6J/p9RVwX6t9ULpYQePXoUwzDYtWvX9/zC/2MK9CuYRU1VuP36jSTiMtns8No5NtsOthtg6N96e2VZnHu74wBip2BwIMehYzOkUjq6pgrBGcXs3DLAHddu4t4HT3DPwWWeOfpNZEWiTUB607fwYb4fsHqhQiOWKeVTdFyPatWi1ugQ7xoi9iw6Xkwhn+HAjnUEXshnv3GU1VqbUAGr5uJaHooK/cM5Rjb3cOb0AivLDv29GbxSEsP36dRsEnmDzbuH8BUJre0TugGSoVBudVAVCT2p4XZ8lhfq9AxkWb+5l4XTS4RBhKJI6JpMHIOviU660q9g9OrEjou7aLNai0j0JEkldIximpUwxg8jSoUki0cWOFieZHW5KQg1ukI6lyCOY1pOQKovyfpdfWjVgMMPXSKWJeyWEBOGKuMFMVJC4447tnPxmWlOHZ3BbthEMUiyROiJz42iqbzmrv2UZ+scevQCPjGyqRJ5AU7bZWWijJpLML53hEq9w5c+/iSeGyCpikitVBUhrIOIsa197Lp9K/d99Rj1lTZKShPNbFXBa4fk1hW56cYNbNk1zNOPXSCstIhtl1AGydDRdBH0UurN8DP/z53c+/lDxFHE8FgPK+cXiIEoijGSBum0jt3xGF7fx5GvHqE5V8ZaVtAzCSLHE6FFEjS61gDF0Dj78CmcpoOsSDRtl8jx6d/Yz/DmQaYvLHLxuQmkOKZ8aY44RpBkAuFLLs9VMXIpTj1ziXa5BbKMkTTp1C2QJAa295PUxQ7KwMgQzbpNZb5Gz0gRpy3oHUiiZz68eZBOJ0A1NMyUwcyJKcIgYmjLILrWxZm6AYEfkCmlSWQSNFabqJpKvi9LZb5KFMcU+nLE3fAcVYdGpYmESJQ0UyaJjEHgR/iuz8XDk8iyTGEgBxKUZyvC5qGp2C2bMIjIltIcvu8EvhuAJD4nG/aM0j/ey4VDk0RhiJEw6BktUJmt0Sy3yBRTRGGE1bCZOjGDFMdsvm4D1cUaURBx67tu4NA9x/E6Lt2LAPneLPXlBp2WTbqYJvQFkWXmzDz9471kihkypTQSEqquMH16Ds/xQZIwkwZWM4JY2KAyxTRbDmxg9twCsiKzbscQxYE8yXyKmTNzWPUOURjhOyHnnr2E7/i4tkfPhRX237GH3Tft5ImFZzDUBFrOoLHQRkKiudqmtlDvdtNjKh+qcvoblzCSJtm+NO16myiIUXWBmXQ7LqqhopsaYRixNLlCtifD6SfPU16o8TO//U6RJKooPPv3RwTRp+nQrrWRJJVk2mRwYz+aqXHm6Yvc9PYDDKzvAyCRSfDWX3s9Zw9eZHFiGcPUOfP0BdLFFKm8EMlDmwaYOTPP7Nn5V1Sg67r+vNs7nQ6JROJHnvvd09PDn/7pn7Jr1y6++c1vcv78eRYWFoTdM59n//79vPe97+Vf/st/CVztnl+tH426KtC79WIpoWEYsn///pe8AL6c8KDvpzwv4JuPn+PpY1OEYcQNe8fYt6VAGIZEUcSxY8fQdX0tiAggkzJY15/n7OVlMkkDSZLoOB6KLDE2VMT1Az7zzaNcWq1iuR7nJlZImhpJU2dspMhtN27ixNl5vvLNU3ScgJGCgWW7tModLrHM1q2DKLLEpYsrhG7I4Lo8lhvQ8nxQZXw74MzFBZKmyoZ1ffzELVsZGy7w4U8+Tr1ls364xPrhIifPLVCptkmVVIZ39TI1VyFs+qSSOquWGILNlpIEUYQtx9SjgD3jAwyYSb5yoULH9jA1FVWRkbMS9ShGymr0byvit3xMXSMKY+QgwvVcVFnFUEApmfT35Gmer1KrdOhYHo4b4XccpJE0qqpiqjIkVNqXKixPV0BRiFWZyA2oztQorZeR/RgzobN73zr8iy1On1zAC0JCSSKWJBxL4NmMtMGeWzcStlyOPTdFqEBsqiALY4uW1NDyCXrHSlx3xzb++k/uF13ctIHrBUixiiwLcbdp1wZufONO/v4LR7DdQLznikDgxd1o+UzW5M53X8ezByepTqwQ+QGKbKKaKplMktDQWL+xh5/8pzfypU8e5Mw3jtJebRC4AWHHQdJU9NEe8vkk+2/ZxPzkKofuO0Wj0iaZNknnkthN0bmTwxC37WL25zj01SNUplaJAhHy3LE9cn057GYHw1BRDA1F07l8dIpOzUJPGYR+CHFEu24hzVYobh3i2XtPoqiy2BEIxeCjqqskMiahH+JJHpmeLNOn59GzSQxdEd1TXcNzPPo2lMjneukf7UE3Nc4fvMCE5eC7gmiSLqRJF5LEEbSqbQbHStRWmzhtm1x/jk7DQpUl8n05wiBkcXKZgfW9zJ5b6Ha2I3RDpTCYp13vYDdt7KZNHEWYKZN0IU15toKZMtBNFathYTUsekZKHH3g1HcMazsdT3iogxA3EDMviipjt50u4jFJGEZY9Q6z5xZYv2eM3a/aRrtm4bsB+dEMdtNFykprwrlnXZHKfA09ZbBu2xAb9o5RXaixOiOConrWlcgU0siKjGu73eHbJBIiDChTStOutSn05UjnxUKnd6RIGIkFvG5qhEEkOOq2RxzD1KlZKgs13I4LSKzOVtlx0xYe+9zTnH92gjiKRbJnEOK7PucOXqLQn8VuORz82mGWL6+SzCa6x7NQNZVsSVhkfMfHTBvoBgRBQKdiE68HRZORDdj06lFKo3n8TsCjH32WKIpJ5ZJi8a/IeI5PFESM7hhm/sISl45Ose81O7n1J6/npnccwHd9nvv7o/zdn/w9PUMFMqU0yWyCKIxorDQpz1YIvIBkLklxIE8ql+TA6/cC4vMzeWLm+b8PV9j8r1B9L4vLj7K95UrFcUxfXx+/+7u/y1133cWZM2eoVCrEcczo6Ci33347mUzmauf8ZVb8jzAkerWD/oPXVYHOC6eEnjt3jmaz+aKowu+uH1YH/a/+7hkee+4SiiIjIfH5e45x5kIPt1+T48yZMziO8zzWuSRJvP01u1j+fIvZpUb3/CQO7FzH3i1DPPjcJR4/eplCLkl+X5L52RqO43PjDRv42bcfIJdN8IW/P4bnh2RSKoapYpoaHccncqHa7AjxYGg4po4ky9QtG0WWSCV1HGISRYOe/gLvfccNKJHEoWPTLK026Smkut18id3bhjhxYQG/1uL0PZcEyi+M6CQ0yGmkEzoSEklTJ9uXYnxDD7fsGufkiTlcP6Dddij2pghDcNsepZ40mZEC4WWL8myDOIiIZQm3E6CHKmgRud4UuY1FSr7OSs1DMQxCzwdfwq15OCkf2RQWGSOlcO74DJ4XIWmKEMKKJLzSdZvcUI6h9QOs7y/ylQefI1RANmTUjIEnS6DK9G3pY3C0yHU7h/nsxx7HadqC5qL6OF1/tiTLrNs3zJtev5uVlRZBHKNqCglTQ5LAJSCKY3qGctz1M9dz/9+fYOH4HLEXrglZSVVE7Hocs//WzVw4OsOJrx0jsD1CP8Ju2ugZg3QqQTKps/vAOE/ee4rHP/MM9YUaqqGh6BJxHBG5Ps5Kg6G9Y3SI+egffA277YiAGMcnVlRyA3nsZofiYA49n6Zcs2lcXkHRVRGUFYgZDtv2ufU9NzOysY+jj1/Aj+DSk2eRNYU4BiNtYhgqVqNDqphGUxWspk0yn0SRukFLQYQiS2R7MrQbthjkG8qzcHaW+nxH8KeHCgxt7qdZbSOrEs1Ki9DxkRWJmdOzeLYHEoR+SKfp0Cjr7LtjJ7MXFgVXXZJQVIXCYI5cT4bqcoPVuQqBF5ItpVE0FaveQdEUEmkTu+Uwf2GJ8T3rmD23SBSIMCEjadBYbZLMJkSqqheiJzTiMF5D9ZlpHSQJq25h1S0UVSFTSAsWeByvidyBDX3UlxsoiszA+j7K81UyxRT9Y70AdJo2Zw+fR1ZlFFmlUW51O+iWILrEMZPHp3E7nkgx1TU27R/n8b97Bs3QyJbSNCsuqqaAJFFdqhFFMUtTKximzuH7jpPOp1iZqdCuWZhpg1xPhnbdEoFSKUOw4/2AhUtLlIaLaLqK1bQ5cv8JDrx+D3vv2Mn5ZyZQNAVZEmFZnu0RBRGBF5HMJrHbDtWlOltv2EimlMZqWNzw1gNs3DvKB3/2I7SqFqlcksAPRGgSEPuwfusYK2aZjJHmne97C7VynbP3TwoiT0osjIJQvOflpTKVpSqdeocnv/QMiipjpkxGtg6SSJvsuGUrg196DkmWSHbJWI2yGIa9968fwbM9DFNn+81beO3P34aREN3sK8O/YtDXQNVVKnMV0oUUw5u/Eybwg9SLUVx+1BGLV+pK00ySJHbv3s3u3bufd5+r4vxq/ajVj71Af7GU0KWlJW644YYX3FZ8obpiO3kla36pzrMnpkklv8U679ge5y6XGe+LGfZ9brzxRjTt+cSAbev7+bf//LUcPj2LZXuMDxfZs2UIVVV49vQMuqqQ7Q5ybt0+yPRSDTNnkOv+ONmOh/xdFztT1ygVU/zzn7wFPwiZvVzhryefYGW1RRBFmJqK3XaRVdi7d4zp2Tof/djj2G2XKI5p2C6jm3tJDorXNIpipHaAv+JSLGQJ4ohqxcJv2iieSWJIdERlWWJotEBtpcXHP/00nY4HKY2g3qGy1CaZMkjnEwzu7CPyIxrzNVRdpiNFSEWNqAFxQmNgcw9qxmTDWImJJ6aw/RBZAl1TkFIKXsvDafkMDeVJ9CUZHS7w6PGDxJK48EsyoMnEUUiYlklsMCiaEY99/QjVpTp9o0XMpEnK1KlIbZQYbrl5E165zSf+6F7KK02iIKLmBWSG80gJjY4bkO1P87qf2EHlYplHv3laCK0oxq7b6CmdIAJFlnjTTx7g0S8d58gDZ4iCiNALkDQVSQqIwhBZktmyf4zMaA8PfvJp0cE3NGRC4ijCqdk0jDrrbtzIuUvLnHj8Ila9DbKwUEhIKLJGCBiGSv+eUSbPLdNu2BjZBJIbIEvgOj66avBzv/NOmk2Hy+eX8Nx5ys0OgSohaxqpUoZsNkHkBdzyxt0cvP80igzZQpKV3gyVKQdUSGVMEl1v87rtQ1QuL9OcK9Ocg2TWpHesh/LUKlEQ0lxtYrddMj0ZYZmoCWuDJEuUZ8o0Vpqs270Ou+GydHoRTVfwXZ/6YhW1O9AXhRFBIPzdtaqFVRVDdkbSIAzEQOjmAxuRFZnqQo1sKU0qn+L8M5fI9+e6HHuvGzgUEfkRvSNFJEVBlkVHOlwMKQ3lKQ4W1iguCxeXUFSZka2DrExXQIoZ3THC+ecmxH1MDUmWoEuLMZM61YUadkvsVLTr4jw7DZvjD5/GtT0K/TlAoOTmzgv8oqIqoqsdxZx9+qKgnEgSvuORLWXI92dRNYWFS0ssTkgUB/MMbuxn4dISZtJA01SxsGo7PPeNY+x61Tbygzlmzy7QP97Lm//Fa/nIr/w1juUgdW06jdUmvuPj2R5mymB81witapvzz00wtGmAbE+GfF8OzVCpLdUpz1VBksj3ZamvNpEksOqCEmOmDeorTWRZojRUZHz3KDNn5jCSOhcPXcZzRMd+8tg09eUGgR+SKabZ+I0xEhmTrddu4vjDp1EiFTNp0q5aKKpMfbnZHWgOePwLz3D4geP0beyhZ6TIq//JjWzYPc6+O3dy8MtHaNWsrj0pIPACIj+kZ7iE03Z47p5jZEtpbv3JG9aui7fcdT12y2b+4jJRKM7nprcfoGek+Ir8DsCLe9Aty/qR959fqSviO47j70AoXoE5XBXnL79i4IdNobwKufzB68daoF/BKX67OJ+fn/+OlNCXWz+MDnq5ZuF6AT2Fb3VIEqZGudqi1nR52xtfRSKRwHY8mm2XYj6Jpn7rIt5fyvCmV+3g6MlZvn7fSf7yb55gsC9HPfCedzETw3DiK2XZHoqp0uy4KHJAKYyIwhjH9dm3c4SR3hyf/eoRnjk6hS9Buy466oHuI8uwac8wXgCrF6ukVY1CMUWlaWG1XM4cn6PlefQXM9QaHYKGi6pIeHFEu+OiJzWCZojf9iivtijkk6zf0U+cVqidaaBGEGigFHR0Ujh1B3kwQe+mXgInJOXCou0SaDJxFJBJ6VixRBxJ5AayXL93lOv2jvIfH79MEIRkMyZ25GOmdOpOgJzRGNzXh9oO8efahHFM5InuqCrLBEFMoMGO/ePkoohTj0xTb9j4dshSZ4n0YAozaxIFAWZKp5iU+cuPH6TTcYm7HXPP8mjN1zF70hiaymtfv4vTj05w7OAksYQIPeqmK4Z+hKIpXPvq7dhSzKFHzhNEMZKuilyXKCKWJFJDaXYdGCc/VuSZB8/juz6KoYEiIwGyJIMTMLq1n77dQ5x64iJEoCcNvGaHuHs5VTSFREKlZ7RELEFnsUpnpU7UcVDTJv1jPYTFJMm0yf7bNvE3/+k+VieWmH/uImHH6T6OhBqFJPoyaLkE7abN6ScuUFtpYpgauqmSyiWwmzaB7bJSaSFpKgsTq1Qml4ijCGQxOBm4PvnhErqmUF9poGeSJEs5Fs/No+gashKvDbR6zQ6uH1O9UCGRMtfISqEfopoa2UIGp+NiysJqsTJVJpZlSgN5Oo0Omi4G/RRZIplLseOmLUiyROAFnH7iHLVlB0kWr2XPSIHADwn8gN7REvXlJmEQMrSxj07dotOwKQ0V0HQV13LRDBVJlrh0ZEp44JGwah3MpIGsyFQWahDFSIpMIm0QRzG15QaJtCkY8k0bWVU489QFwU5XZJanVlETCr4thtqjIBTYyLSJ03FpVy2KgzlAQkmZNCstpk/Occtd11NbbrA0scLorhHS+QQPfbKNZmhEYUTSSFBfaeI5ggST682S78tRmasSh5DtyVDoz5HKC/qM2xGiOVPKoCd0rLqN23GpLFQZ2zmCmRK7Cj3DBZEaGgtrWHm+gt10CKOITsvh8c8fXEvuLAzk2HvHTm562wGmT89x4dDlLhtdXK8822N1tkIiY9Jp2nzqD77IpmvGUTWVoU0DtGsiBEmWZdq1NnIsoycMVC1EVmWkGHr6i7RWLR7/u2fxFAdtXcyW162jOtVENwxCJ2Tu7BKlkSKKIqObGVzb4+Rj57j5ndetdbSLA3ne+f++mYWLS3iOT/94D9lS5hX9LXgxi0un0/mxEehX6qoYv1r/O1Ycx1SrVQqFwis2E/JjK9BFUIX3vJTQM2fOfEdK6MutH4ZAH+zLkjA02h2XXEZ0tpstG4mInrxJKpXmyw+c5OFnLmI7PsVckre/dhc3XbN+7THOXFjkz/76MTq2RzKhc/HyCn4YoeV10kmdlKnTaDsossyeTYPUmh0+9tVnmZhdJVSh2fA5fXGJYi7J1k39/MSrtnHk5CxPHZokkzbZuXuYSrnN5NQqsRozvK0XvZRkZrqCHEL/UJb5ahPXD0jnDKyWy/KKGLY8sH0dJxcsVh0Hy/bQNQVFlgkNDTmjEfca9Gwt0bY99AUPyQnxDQnLDcgkDDJDBotxHYmY8nMLBG0fzw2wbA+zP4FuyBimgWcHaGmTPfuGGClm+PqXjmE5Hp4d4OiO+CwEPomEztCGHnpaMieenqZjuwSyTEyMb3nIioKsySR6MwwN5Hn6C8dwvBDZ0IgDIaatFRtJVomimL6xNF/+9NM06haSLgY5USRAxncDkrrC3uvXUxjIcs/fHUFWZXRTQwkiIlkiDiMGtg2yc/8oO3eP8MkPPYDXsDEzOqEmE0gqchwTeyG7btrIjts28vg9pwST3VDx3aDbGZeBmFTWYNu1Y0xdWKJ6bol2zULXFWEj6cauS1FEIplEyyU5/uVDWOUWgR8QegHU2iQMlWQmwcjWQb76109y7pkJVs/NEtpeN7lUdPs6dYvlqVXGb9jMp/7TvXTqFqquIikyVtNBTSUYHCqiKTIty0XOpGjMlfG8ECOVIPADQbdxfIb3DbDvtbs4/th5ghiqizVADMNmSmkUVSHwxDlm8gmWp3yymTSJhE5HFv51ufujnsolCTwfVVdIpHQWLizSqbVRdZXScIFULomsKrTrbc4+fYEwjMj3ZvEcT4QPJXTiKGbm7AK5ngxGQufcUxeRVXFBbpZb5PuyOJbLxNFpEWevymy4Zpz5C4trPPYoimnVLBIZE01XKPTliGLR4TWSgiBjJA2RUCpBz3CR2nJj7e9xDOl8inq5QeCGpPNJdFMn8AIUTXTRzbRJppjGcwJ0U8W2nO7wpE5pqEC+P0d1vkY6lyCZSRBFEbXlOqEfrg2nTp2apbpYR1UVZFXsEPQMF7hwaJIwikikDaJQ5AC0q21qi74YxvZ8vvaR+xndOUwiY9JYbTJ/aRnD1NZ47yAhazKRFxGFEeXuIK+sKFw6MsXhbx7nhrfs58LhCWbPzov03DjGtVwxpBxGKKqKkVSIghjd0BlY38vi5RVe9wu3s2HvKFOn5/jYv/7UmuWoslAlmU3QqlpIsczgaD+Ncov1Q5voH++hc0MHy7KwLIvHP/sMnU6H+YV5FFlG0zQ6HQfHc3j480+goDK0sZ8Ne8fQdJWxnSOv6PX/2+vFOug/LhaXq/XKVoTYMf1hH+PHob70pS/xkY98hIMHD+K6LhcuXGDDhg383M/9HLfccgv/4l/8i+97QfljKdBfKIio0Wi8YEroy60fhkDvK2W446bN3PPoWZZWm8RRjOu53LB7hJ68zkMHL/LlB06gd/3Ky+Umf/Pl54SY3tAPwEOPX6Bje/T3ZpAkiUzaYGm1SRKFdsejXLdIJ3TuuG4T+7eP8I0nz3JprszYQIHxoRLnzl3G81VuvG4j/+SN16CqCucnVwijmExaWGR6etM02k0iRWFsvA9JkhjZMsxziw6W6+P6AUlDF4EaCZ2xrX3kiilu2j3K7IkFZmbKyIaEoZtdwgaMbejB1sA916BZtiCMaVkukSnTu6GILAkvuKlr+DMt2q7ocvuRsH5Y82308QKu5ROFMcV1OVYWmhy69yL1po2vykSKRLvpomkSyYxGeiTP9q2DnH7kEg3LAU1Gyej4xIQRJAczGIUEmcE0rZUW7ZZDImtiyDIx4HV8oiAmVUwxvqHEG35iB3/xB/cgSRJq13MdEIqBOVVmeE+Wgf6IL/71o7SWGmRKSfS0QU9vmlbbQfViXnX7Vq67eSN/9GufZObsIpEf4rU6aEkdvSdLGESU+rPc9pqt/P1XjrF8fF5EmksShBGxFyDLElIU0zteZGqizMmHzoi/RTGeGyCbBlIUQRiRLqbJj/WyPF2hsVRHNTRUSSQthl7A6uVVxq7bwHy5yfSRGWRJIvIDZE2IB1mTMVK6EIi5FLmeDLMnZ9GzCeQYZBCBTFHEm/+vO5iZLON0PFqWy9GzM/gdm8B2yPflGN7cT325yejWQZany0RBiGmo9AzmqE+ZeLaLrqtImtoNqBE+cqfaZqFqYSR0ssU0xcE8teUG7ZpFFAoSSM+6HmqLdQIvQFYkYi9m9twCmUKK3tESl568jGaoyIrM5a6PWzd10cWNYmJirGYHM2UgKZKYU5FZ86mv372O0lARVVfQTZ3ach1ZlhnaNEBztYWiSQyMZ6ivNkkV013hH6FqKp2Wjd0OGdrYL2YUup/1+kqTvrEewR93fJLZBLVynWxfmuZyG02P0ZM6TttBkgX+cnWuiu/44prn+lh1i8P3HafTsNFMjVQuyYZ9YzQrLeorTbGIkiViYtpViwvPTmCmTFxb2AC//KF7SeWSqLrK0uQKyWyCoU39lOeqtOsWRtJAliQUVaa6VGNgQy+7bt1GaahAu2Zx+z+5BT2p85f/9m+RZRnNULHbDlbdEjsnccyGvWMEfsjxh05z/ZuvYfO1G8iWMhSH8gRBwOy5BSQk4pg1T3vgh5Tnq6SLKax6h6WpVfbfuZsNigiaCoMQzdCoLtbwnQCImTmzINCZrs9fv//TbNw3zsCGPrbdsImNGzcSvV5m8UQZQzdI5RO0mxb1pRUkReLev3qIqPt+bTowxm0/fSPZXIZUKkUqlXrFA+t+3D3oV+tq/e9Yv/Zrv8af//mfr1muvl2IS5LEr/3ar/Hggw/y2c9+9gUX2C9VP3YC/R+aEvpy64dFcfknb9nP6GCBp49Osry0zLW7N/Dm117Dwaef4olDE8KrmRcX6IShMb/S5JkT02sCvVxtoary2gdHkiR0TaWUTfGLP38rtaZNMZsg9CJWyy3Oz6yQNDTUrlUmm9XxY4NjR2c4+sQkURxjJjX8LiseYmq1GpIss2ldP7/1nldTrVs8+vRFHN+nttABXSbWIuy2R6aQoNSXYeZ8mb84+hi25RLG4Ld9QjdE11VKg1mMYoLWZBW76mAmNFq2SxBH+HWPpakqPQNZPDckocrYto+qKNiuTywBuhBczWqHQn+aXE+Svk0lqjMNVqptMBSUlEpiKE2n6qBlFfp2DDBYyiE3PJYX6qgZg3RSR9cUahIEbZ/MUIbeTSV2bxtk5ulZ4hg0VUGSJVJJg8gX1oVrXr2JoUyKh79wlFbFQpIkIidETaggK4RxxPqtA7zz9Tfysf94D6tLTUIvpN7xsKoW6eE0TicknzVJZ2P+/7/5aaZOzRNLEpIqE4URXtsFWpiFFHtv2MCDf3+SC09fRtEUIkl06WVTdBwVWWLD7gGMnhSTh6cJ/RAtaRB7AVIUEfkh2b48m29cT6ArLJxZFtYYSUJWBTte1VQhRoG+ncME9Q4KseCmGyqRGyB3PdB9I0UWL68yuKkPu9KitSBoC6qps2HPKKmcSG8sDmR59sEzhF5AdXYVv2kReb5YMC9VIQwwMkn0pMGp+0+yPLWKZmpo3W73ytQqnbqF6wj6UnagyMVnLnY7ugqyIlFbqqOZGntu38755y7jOT6F/jye59NpdEhkE0RBSOAJ4e7YPtPnFkhmTOJuByjwAohjElmTKIhQulhLu2nTadqM7hyhsdIASaI0VKBZbuHZHrtu27b2PT7xqIXdcrpDnB1kVRbfsTimZ7hIp23jWAG5niRmxqS+3GB5qkymlEZVFSF+UwYrs2VCPwJiopkYz/Eo9Indvnr3HGRFZnBjHytTq0RxjJEwCNyAOBId8cJAnkTapLpYo7pQQ0/oBH6AJEEUhqiKSraYpllp4zo+RsogmU3gtB2WL69yx8/cwqb965k+NYukyPzMv3snH/rlj2GmTMH+lyUq8zUkWcK1BaWmf6xXLCpyCfpGe8j1ZEjnkphpk9W5itgpiCFTzDB/cQm77VDoz3HqiXNY9Q6JjLkmwFVdwW376KZGq9Im7A7Enn/2EnMXFpEAu+2wcd8YW6/byI1v289Dn3yCTssmDMKuXUimWWkBEAYh55+boLrUYGTLAJPHp3nTL76WjdeMcePbr+XwvcdZnlhF1VUy+QxmQmf93jHiKKZRbbJ0rszChWU660Tn3fd9DMMgnU6vCfYr/30/P9JwtYN+tV7ZuspB/8HrM5/5DP/9v/939u/fzy//8i+zfv163vGOd6z9/ROf+AS/9Eu/xDvf+U4+8YlP8N73vvcffIwfK4H+Qimhruty6NAhhoeHXzAl9OXWD4viosgyN10zhuIvk75xD7t378Z1RWJey3LQvu2ifSUy3ep4gHi+pVKak2cXMAyVdNLoWnsCtmzoY8NwiedWpvjvn3+MWr2DqspCTKe+9ZhxHLNyqUbUCekppPCCkMXlBkEc0/Y8ChmN0A/QdZMb9o9Ta3T46GeeYmaxTqKQoDnn4jd8IjckW0iy7dp1LC41aCy06C+k8dIaSkkjakcEUUxiOEVyXZYwjomtAFVTaHRcZFkiX0xRW20TOAEdP2B8Uw+BH1A7XyYMI1Ak/CBA0VXCKMRPKeibsmi2Tb4NpycqOH5IPmugKjJpU2fJi9BSEv2xzIX7ztGs21htF81ySY73oGsKGVOn5ccMbyyxebDE7JOzXDqzSBhGNCoWqYwhwnhiGNjUw56RXj7xpw9TqbQJw4hYlZGCiNAVIlDPmrztvbfwN//tYVYXm8SagixJxEGEb/nYZRc1bbB57xD333eWiZPzRHEMqkQciYFOgDiKuOWtezB7M1x+4iKaoYKuCCEfRvh2TGm8yLv/+W3U6lUOPniRsGmB5xOrErGioJkGRkJjcH0P/fvWMffcNGoco6VNWrKELEvImoqR0EiYKgESCV3h1OFJKtMVNENDMXTwQ4giZISfWlIUlqbKVCeX8W0PJAnf8Zk4PElxXQ994708e/9ppk7M4NkezbkViGNUQxdd7iimulinP53i0ENnqS7UMLs7NkEQUl1ssPHABqQ4Zm5iBTOfxkwZzB6rIBsaqXRCQHcUWfiSNw8RBBDF0Gm71BarxLHguCu6hqoKm4/n+FgNm2J/TnwfgHQ+waWjU3i2R7qQhjgWCZlpE9tymTg6JTr4quBwy6pMp0sy6bQc8n1ZZFnGbtu0G5YIG3KEwM/2Zrl09LJY3MgytaUGRkJjy3UbOfX4ORrnm2Lnq5hm0/5xzjx5AVUXCyHiLhd+tkbPSInAD2jVLAxTZ8/tO3iqSyUJvJB8fxa77dCqiNTU0A/J9+WorzRorjZJpBNiSFgXuxFmyqRd75DqogVd26PTRWvalotrexQHC9RWGrSqFj0jRTzbx+k4VBfquLZHHMcsTizRrrVxLY8wjDjz5HlaVQvd0FicXKE0XCCOxflousrS5WWIwXN9muUW/+M3PsHwlkFS+RR2y6FdbaOoComMgmO5SLA2XHtl8dM/3gsx3PPRhxja2M9P/LNXUxoucvwhMYBdnq8yf2ERM6UjSbJgv6cMHMuhNCwQlScfP8edG17F7f/kZnbespXVmQqyKvPAxx9DNzVxrVUkCr15mittklKK7Zu3i2FkKV6zybTbbRYWFrAsiyAISCQS3yHY0+k0yWTyJT2rP+6Yxat1tf53q7/4i7/gbW97G1/+8pfXbvtuK8ttt93Gv//3/56PfexjVwX6S1UQBN+REhoEwctKCX059YMI9Cus84PHpgC4fu8Yb3zVdnRdJYoijh8/jqqqa0FEVy7mu7cM8vAzl8gGBqoqOsgSEls39BOEEZ/5xhFOTC3jhiEz8zU0VSadNBjsz/GG1+xgfrHO33zuGTq2RyGfxPdDVsstJEtlTlfIJE1Wqy5e26e3mEbVFaodB0mXkd2QdtOm3XEYHypx+42buf2mLTz41HlmF+uMDRVQFJmxsRLHT8+hJjV6N5dYarRQPTAVhUiGZsfFNFRyGROr7aHlDEZHitx53Rb+du5x5pZqomuviY+qYahk+hJkx3NkigmsuRaKJOPYHrEhocgy+DFGQkPtSaJWXJqXahySLJqNDkEUk0poqFmRmqhrCkoccvyxSXw/JOyOOXptj8pMlVRPmsALKA5luX7zMPd/8TiValsMcpoagePjOj6KppIfKfCW91zHl/72GcorLdSUjgyEEkReRCJnohYSXHPLRqbLTRamykiagqwphBKAhBSKwc1X37WfkY09fP7PH8dIGHhBhKyqhFFEHEZIEvSsS6PmOjx17wVaCxURJpNNIJsakqSQMRRufvUWrr9pI//5tw8x9ch5QlcwocO2jZo0MYYKJA2D7FCOy09PMnd0BrvpCHuHqhA6HpIsE8rgyxJqKctTf3sQvy1SKwM/JPQjjGyS0PFAkVFSJmoiQXW2jGd7qAmdKBTn7bQdmtU2/bvHOfLoedSEIQZdYzFcKisS2XwG3wvxHJf1e0aZPSsGQpP5BLqm4toejuywae84luUxsmuMetVi8aLAHUauT6Aq5IdFkmO7JrCAoecLcWcoJNb3YZWbBJ4IKQKR+lkcKlBdqjFzqinmAVSFTClFpiCsE9WFmhDjikxurIdWzSL0ApHkant0Gh3WbRticXIVWZFIpEzmzi10qScSciwRhfFa+JDTctCTusCodq1Qnu1Tma9yyzuvo9O08Rwf3/VpNzpdj7Zge6fzSeYnlpCQSGRM4iimb0yI08ZqCzNp0D/eu7agmz4zj2Zq9I72iG5y970Lw5CekSITR6cwu/f1r1ijgPmLSwR+gGcL7/6px84K3GYkdhOOPHCSOIpZvLyM03a/ZZMJY6qLDVzbRzdEaunjn3+GDfuWKA4XadctassNsqUMI9uGWJpYJvAjdFMlqSfwXB+77ZDvzTC8qR8zpTO0vZ/BnT0oHZ3P/Mcvk8onCX3hnQfRUOgZKjC4qZ/5C0tMn55j123bOPD6vWvs8ufuOcZn//ArDG7sozJfo1FuoaiC+FOdr9Gqtjn71AVe9VM3YCQN+kZ76BvtwfcCnvrSc1h1C7pDoFEY4doeJx49y6nHz6GZGttv3MQ1d+6hUCisXeOvzDy12+018V6r1bAsiyiKSCQSz+u4XwkgiuP4e1pcXu6Q6L333suf/MmfcPjwYVzXZevWrbzvfe/jV3/1V7/vobavf/3rfOxjH+OZZ55ZG5DbsGEDt912G7/xG7/xfe9Iv1h9O73l2+uKMPJ9/wWpZlfrOyuKJaQfcof7h81Z/19dx44d42tf+9pL3u+1r30tv//7v/99HePHRqCHYbgmzr89JVTX9ZdMCX05pSjK2uP/QyqOY/7iM0/xxOHJNazhxEyZ6bkq//Kf3sbZs2exbfs7WOdXOilvuHUrU3M1phera8/rmh3D3LJ/PUfOzPLo4QkyaYOevSMsLzep1iw2bu7nN953Oz3FNN944BRty2GwP4ckSRi6ShhG2I5PXz5N2/HIGRqxEZFJGVSaHfFjYmh0/IhSv4GUSXHz9ZvZs2GIs2cXuDxdQdMUFEWcq2lqjI/10KnbtI+XsZoOiizhhhGhEqPIMrEkEUUxiYTO2HiJUiHF2VPzNDouzbqNrCmYmoLriI764LoiiVilfGiZZtMm1hVCK4ZON3reUDBHMpimQfVSldANUYwQyVCIWy7Ll8oURvPEMSTzJl6tQcdyQVVABtlUCJ0Az3LJDGbJDeXZfd04E2eXWVxqkMiZmJpCJEG7aqHmkmw9MMbO7YPIXsD02SVUXSGbNlE1GUuR8GMPsyfJDW/ZxXV7R/nEXz2JoikQROi6gidBSIiEzPW3buam6zfyVx95gOZkmcgXfnECkdgYx5BIGrzpPbfw2L2nWD2+TByIQTu/46HmDJSUiZ5UcSOLD979Gc49dA7PclF0FVmVhP+8bePWdPp3jrC82GTh5ByKKiPrCmEUE2sqhqlhagqDYyWkhEG90cFrO2gJnTiMRWdPUgljWP/aPWQKKeZOL2BkTaxF0XWMohg9aZDJJ2isNOldV6RvMMvCiQhJkkkUUuiGShjGqJpKKp+k2e2ymhmTdqVBu9qmuSjRMyLQe+W5GqlcgqmzC7iWA8RYyzUiPyCKIpyWzdw5m6XLq6zfM0ZlocrEsSl0Q7DlzZRJppDGthxqi0J0q7qK5wZ4HTGYqajiOrE6U2HT/nFW5qq0ym3MtIGZMijP11BUBVVXBTVHVYjimMpinUwpg6KIBYyR1Om0bKIoJtebFfwxScKzXeyWw+juEaRYwut4ZHpSLE2u4HQ8cr1ZzJSBoqnUlxtUFusEboBtuThth8ZKE8/1yPVl0RMCy+h7AZqhMbJ1AFlVmDo1S7Y7zBr6YoB05uycsIWEMU7HhTgm15dBkhDDkxLkehV6RoqU56soqkBIqppC4AYsTizTO1rCcULaNYsn/u4g1/zELnRdw0GklGZLaeyWg9tx8d2AbCmNqqs4lvj7xr1jDG3sZ/nyMq/756/BTOl85Ff+SthkUjrluSqe6xN4PlajIxjjqoJtOQxt60frJMiUMmR7MmuWljgWQUqNSou5i4t4ts99//MRJo5NkUibbL52A+O71zG+ax35/hydho2RFDs2Vt0iCiMuHJ7Ebtlkimk++e+/wE/+5lvW0kA1XWXvHTt46FNPsjy9ipHQqczX6DQ61Jfr9I724FouT3xRhCXd+NZr167zkiRhGAaGYXzHjFMcxziO8x0d99XVVTqdDnEck0ql1gR4vV7vXlPNtd+rTqfzsoAGH/zgB7n77rt5y1vewv33308mk+Ev//Iv+fVf/3Xuu+8+vvjFL/6DfPNhGPK+972Pr3zlK3zgAx/gD/7gD0in05w5c4a7776bP/7jP+bOO+98xQT6t5PWvld9+MMf5qd/+qdf8YXB1bpa312dToe+vr6XvJ8sy7Rare/rGD8WAj0Mw+elhJ48eRLf97n++utfESTO99tBn1mo8eyJGVIJnVRSsM4t2+PQqRmefOYkgVN9Huv8yvmW8kne/8s/wZEzc1QbHUYG8uzeMoimKpydXCYMI7JdW8DoWIlk1sSTI0pdbKPnh8+DlcqyRMLU+JWfvBlDV/nSVx7g3vkFllaahFKMLMndxMKY4bE+Gp2Ah+85zaP+KYIgwg0CQkOiVEiRMMRwYaNi0ZyuY2jih77ZdvAcn5blohdMFCkkjH3Wbe4llmMOPzlJ0AkIdIg1Gdf2qAUhmVyCwc09kFRpXm5itR08BcgoEGlEdkiU08mM5EhlTeQgpOGEhBIkdQ3T0GjE4Ns+oQx9G4qUhnPMP9qiHkbIuoIqyyiyjBuIBMuR/cNsHu8h6Ubcd3AC3/Yo9WeQZRmjmCbyI3L5JO9++z4++6EHOXdsDrvlgASxF5AdyKEg0XQC9l47zv7xAT7/Z4+xcH6ZMIyJvQBikFSZ2A3JlVLsv2kjf/a7X2FhugqIrXtJFbspkReg6Sq779jGo49d5PJx4YWXdRVCMejp113SuQzr96zj/LkKi6eXCBxf0FquvM+aTBxAz3CWwrYB3HNLgv6SMgicAAnBGs6UMvzfH3w350/NMXF6kdgPmOs4eJ4Hqkq6N0Mul6RebrH9+g3MnJoj9jwiRwhvu9xEMzUMUyOVSVBfbpIpZZh47hKVyWWQQFYU0sUszZU6oSesDZ1mBzOT4viDJ2lX20SBIIWUZytUF+uUxvuYPr/E7Nl5ITwVmep8WXC/ZfEdj4KYKPSwbZ+lyyuk8kmiQGQVNFab9G/oY/01Y0wcm0EzNQpDBWZOzgAwsL6vO1wpSCWeGzC0vg958yDtegeIaVXb+I5PupBC6wp/q96h07JJ5RJohorb8cj3Zgn8EHeuKt5LSYI4JghCFE1l8eKS6GaHMdqc6D4bKYPD952gXbNEaFUmQb43y9TJWcJAoAKvDNs2y238zixaQhMJo16Aospkimma5ZbAMeoqG/eOsTCxTLPSRjcFUceIdVp1Cz2pMbhxgFatTRTG3Pi2/aTzKb75Vw+jm6LDL6sKKzPCTiZJUBzI0aqqhH6E1t3h8P1gjRKzMr1K4AekckmyPRkWLolrktXoUFtu4HZc3I5P4AcocoJExkRWFKqLdcrzVUI/RAJOPHqWZCaBa3ukCgmspkUhX0A3NFamVsmW0iCB03JRdYXlqVUAAj/k0L0nmD41R//6Pk4+do7X/tyt7HvtLm7/6Zt5+FNPYjU6BJ5IN40BRVcpDhYY3jzA5RMzPPO1I7z+fbevXR+vuXMPsqpw4uEz2G2HgY39KKrC+J6xtaaEJEucffoC17x2F0b3mv5iJUkSiUSCRCJBT0/P2u1xHGPbNpZl0Ww2AZienubcuXPMzs7y4Q9/mE2bNuH7Pr29vczNzTE8PPyCAvbxxx/n7rvvZseOHXzxi19c+y354Ac/SK1W46Mf/Sgf/OAH+e3f/u3vea7fXnfffTef+tSneOqpp7j++uvXbh8fH2fr1q3ceuutGMb3fu7/kJJlmdXVVaanp/E8D03T1hY8uq6jqiqJRIJ//a//Na9//euvCvSXqDj+R+Cg/4iD0EdHR3nooYfYvHnz97zf17/+9e/bPv0jL9CjKML3/bWUMUmSOHfuHI1GgxtuuOEVm7b/fgX6SqWF6wVk0+m125KmxmKzw6lzk/zMXa9ZY53XmjalfApDV9cYz6mUya3XbuD8xDJf++YJ/vLjTzDYn8PM6Hy3+o6iaI2T3nE82r5Py/awZyr092QwDJVmy2HfzhGKuSTffPgMDz29RCjHWE1BcUCWUFSJwfV5soUMF05OIHVCBvpzVFodWh0XvxHyXDBNX28GU1MJ2h4yYCZ1KvUOqi4Y30EY4XQ8NENmdFOB/HiW+lIbp+ViZnVabZ/ShgLVxRZ+FCKPpzHyBr2myYRXF3SVMESVYvoGclRXLeKsRm40S/9Innixw0q8jCSLoJ84jkkYKlIc07ehxJ6dg7RnW0y2AxGa5IVgiu6yjISSN9k6WuLEPWdZmKliWS6hH7ISRvRtEGmOhBH9o3n+/uMHOXZwEiRJ8M7DCKvcJkYiVmRypTTXHVjP33zkYSrlFqEMkaZAGBERQxhhFBK85Rdu5sF7TrE6XyeRNXG9ACQJQjGA2jNa4KY37GR2pcHyiXkAZEMRIh8ZWVOQibnlDbsICglWH7lIJpfC16v4ntiBiMMYRRM7DWpWZX5qjurFRdyyRWjpyCmTVDHNwECW/pEiQ2NFvv6Jp7j4zCUqk4sEHbfbBJYIVAlXlVEMjbnzi0wcvITVFZVxHKOZGp7lIhOzNGkTyzJzF5ZpLlbEIiaWCIOIZt1CyySRZbGAMvMZ0n15qpOLIEmoprYWn+67Pvn+PJeOTqMldFK5BK1KiziKkRSJRM4kDiUUTSZwAwxTdLgL/TmMrt0m6A1QdRUjoXPDW66hUW1jNV0SaQOn1aE8VxEJpYN58XmQJVzHR1YCwiAk35thYH0f06fn8F2fKIwI/QDPDUhmE8ycnkPTxbVldaaCZqokMiatSnttm17RVDLFFPXlplioyNJaJ76x2qZVaQskYdulttwklROoVUUVr60sSci6KhYoekpw7RM6qq6yOLHMq37qRnbevJn6SpOV2Qqb9m/AanTIFL91rQn8gKWJFYykQTKXYGBDnyCrtBxKgwXMlMnA+l4xTN/ooKiyoOP05Kgt1mhUmhgJg9pynUTapDJXE/z+IERWxecyDEKmT83hOeJ1unxylspCnTiOCLyQL/2XbzCyZRBVU5k+M9+l0IjzixHhTHEUo2gKtcUGru1x4HU5CoN5JEV8X3tGingdj9W5CpqhoukqQRB2vf8O/WM9NFZbPPP1I2y7cTO33nU9G/eOMXVqFtf2OHTfcSaPTjOwvo9Cf45ExsRzfC4cmvgOga4oMvt/Yjd779hJFIScfuI8D//tk2viHMR74FiiCfFSAv3FSpIkkskkyWSSTCbD9PQ0N9xwA3Ecs7CwQBiGnD59mqeeeoqjR4/y6U9/mkwmw86dO9m1axdvectbeOtb3wrA7/3e7wHw67/+68+zf/zmb/4mH/3oR/njP/5j/tW/+lckEomXPLfz58/zX/7Lf+Hd7373d4jzK7Vx40YWFxe/r+f9QhXHMX/0R3/EAw88wMzMDLZtCwKQpqHr+ppIv3LuxeIrFxB1ta7Wi9Vb3/pWfuu3fotSqcS73vWuF7zPZz/7WX7nd36HX//1X/++jvEjLdBfKCX08uXLLCwscOONN76iK/zvV6AP9GYxDZWO7ZHupoU22zbEATddt4dMJsvXHjzFfU+co2P75DImb3nNzjWbDsDlmQr/6U8foNV2MHSVU7UFZFlCzxmsVFrkswk6jo/rBdy0dxwvCPnYl5/h5MVF9IxOs2LRnnHJpkw2jvfw7rdfy9JKk3sfPoMkwfqNJQIvZmq6iuN5ZIaTGANpLs9VwA7pLaVpux6255POGHRaHqah0XI9dmweJEylOVGfxrLF8KqmKsRajKYrJDfkCRSPVG8Cv+pQRMOSJFq2h6mraIpCqS+DY3soqw4L5xrMB2JANjYV9JxKwjSRJZmEqZEeyrN74yCtmQYLl0XSYGiHeEYghoTdgExvml3jfVx6dIrZ6SqWHRArMqEXroXFqCmdzIYiF56dZvLCMrEmE2sKcRjRadisTlfQMyZmzmTf9eN84ne+ThjFqIYY+IwkiIOI0A/p29LH6966h0OHp6iUWxR601iujyW5hLIEEvTuGOQ1d+6gr5DiG3/7LHgBiUISRZVxZInQF8/vPb96B/UwoHpoGl1XhDhWFCJAUgRmvdiTZmhjL/d98TArpxdwbQ8UBUKfOIiQZZAiiXQxhSInmH5sgtALiMMIP3CQLBdNjqnZNnqPxu/88seozjRoXFqEKBTppXFMFIa0VhvIho4+VOL0g2fWQoGiKCYOIlTDYN2GfhKmRttyMUo5Fk5OQwyypomONyLevjBSYstt2zn31EWS+SR+0xYLD1nCSOhkimk6lkvo+mQLKRrLdTwvJJ01GdrYj1Vtrvm7VV28V4oqhkQdyxGJlAmdfF+WZCZBKpegsdpi7twCgeeTLqYJHJ/QC3EiB8eSRLc5qbP7tu2ce+YiUhchWJmroJs6hYE8tcXa2oLFTBsEnkCFIonbBKEkJlvKCB+6IneJKRGdpo2e0JBl4U2XFRnfF9SYfH8e3w1IZEz0hE5tqYZmaKQLyTURbDU7SLLM6I5hrHoHWZbwHI/KQl3Y1doOqq7SP9ZDsyJ2M5rlFs1KC7cjBHMURpgpg2a5tTYMObihj6FN/TiWy+SxGYpD+TULXuCHTJ+aIYpiHMvFabscf+i0GOLtkltWZyskswkypTStahtVU4VFBhEyZDUsMsU0oR8yd36R3pESu2/fwcKlJRwJktmkYKvXLKLuc82W0jiOGOokjtm8f5yp03Pc9q4bufb1ezj41UN85j9+hZ6RIr7jCxuKqePaXjdMLWJ5pszy9CqJtEm2J8NNbz8AgNvxaKy0GNzY9y0/sxuIEKR//wVa1Tbr94xy3Rv3URwU8zWKItM7WkJP6LSqbTLFNFF3uHls5wip/CsTIPTtxDFJkhgZGeEXfuEXAHj3u9/Nr/7qr/ILv/ALnDt3jlOnTnH69GmqVWF7XF1d5ZFHHgGEF/a7a+vWrYyMjDA3N8c999zDXXfd9ZLn85d/+ZeEYcgb3/jGV+T5vVT95//8n/nt3/5tstksmzdvpre3F8/zcF0X13Wp1+t4nrdmMb06NPvSdZXi8oPX+9//fj772c/ynve8h+HhYfbv34/neXzgAx/A932ee+455ufnWbduHb/1W7/1fR3jR1agv1BK6MLCApcuXfoHp4S+nPp+MYvrBgvccu16Hn76Eh1HkA9c1+Xma8bYt2sjjzxzib+79xiKIpM0daqNDp/8yiFu251dO94Dj52l2bbpK2XWLDyrlTZ5XUfrdq0NXeX26zdz501bOXVpkTOTywz15jCGS3Qsl5m5Kj2FFHf/+utIJQ2eem4Sq+ORTmlIQDqbYGDApN6SedNr9qGaKklV5Wtzh0V3zfHQunHnsiwxNloiyCiMjhSYrXm4bkAYx8JaEcWEfkjvcI5UPoW1YFM5tIznhTiuj+uH6P1JSqW0eD1sH6UT0Fxuo6vCH+17IZHt44caWknH9jwyhSR9g1mWTiwzO1XBlyKUrIFX7dCsdUimDdJ9aQa29+FWbaYul4k1GS2pESkyftMl1hUyg1mMngRb949w4rMn8OMYTZHRFIgliDo+oQS923vZc81oN2E0FBxuRUaWIZAgjGL6Rwv8s1+5nfZyk5OPXyRsuYRdhKOiyLQaHZKGxl3vuZaEHfHRf/t5mlVLEEXaNpn+HKmUgd102LSln6Sh8bkPPUpzUcSrSzGEHRdJEZYHzdQY3T7IfZ9+lpmTs0iy8PfHsQSa2o3JlkiW0kiFNLPnFggcX4QMKTJRHBP5AWHLo7R1GBSD2oKIpieKQOl2bxUJM2kSuAG5gSyF8SIXZlfR0waBH5LQVQxdgTDkp/7fN3Lx5Dz1SotMIcXCkQkCx0XyPHJ9ObL9eWoLNUpDBULHI7BsWo5HoTdDKp/EadmiI49E6HaZ3n60NoTaXFBIZhIkMglaVUEMiXwHgFQ+zdQJgZa8wg9fmFhGMzS237aNxYlFvI5LMptk/vwCraqFZqhCuHaTdQMvYOrULEZSR0ISViMiAj9kdMcwqqESh2K3IPACaos1RrYMEoPo4Cd1Kot1FFVmx02baay2kBUZRZU498wEiXRC2DToUpNmykgy9A4XqS7V0XRN2EA0hSgM6LQcVFVBkiEMIjRN5dKRyyJcCCH8VV3h/LOXaNcs4gggZsO+cWRFYeHSsngPVblLP4m5fHKWdD6JrCg4VYdOwybwQsZ2jjB9apaV6TK53iy7bt3G2YMXBbVIVUjlEnRaDq2qRTKbZHjLgLB/mTrvfv/beOpLz3Hwq0dIF1LopkZlvkqn5RAF0RqS0nd9mpUW47vXURjIY7cdSkMFojDC6bhEYYyZFh1tr+MRRTHl+cra0O7CpUWKgzlc2xcoUElCT+hIkoRtuSDB2acvCJ96GPHffvEvGN4ySKaYZs/tO7juTdew7cZNHHvwFEuTK+R6s3SaNvXVBpquEUcxekLnma8fZf7CEu+5++1r4nto0wB779jBsQdPdwO0oDRc5Ma37n/F0gRfjOACguKSTCYxTZN9+/axb9++7/j7oUOHxM6pprFx48YXfIxt27YxNzfHc88997IE+v333w/Apk2b+NSnPsVHP/pRzp49iyzL7Ny5k/e+97387M/+7CuW9vlf/+t/5W1vexu/8Ru/wdDQEJqmrQEffN/H9308z6NarfLWt771FW28Xa2r9WLV09PDAw88wLve9S7OnDnD3NwcAJ///OfXdkl37drFF77whe8YGP+H1I+kQH+hlNByuczp06e55ppryOVyr/gxfxCKy/vedSPjIyUOHrnMarnMtbvG+bm7XgXA489NCFziFda5qbG40uDCbGutg7600kSRv4t1ritEYczv/sobWCq3yCR1Oh2f1Uqb5UpLIOa6W/DJlMHgcIHlyxXe///7Er4XMDCYx3N9uqhm2q02jheQz2W449pNZDMmDz91AdsLWFpugiajGwqOG6LpCsX+DJfnKtz7lRPgR/hxjGf7YIOqKaSyBv2bSqwst6gv2qRTJj4xASJN0V9s4zkBqYSObqjYC2LIIuiGxKBJIrXSjWh2HAbGimTX5SglEkwuzuGrwttcGs6yLAeEHmQ2F9i8ZYCtQyUOPXIeLwjIZFIEfoxpaDQjQVwZvHaQDRt72bOun0OfOioGCK8MvcoSthOQ7U3xnp88wOzJRb72+aeIxMkR+aEQy11bxO1v2MWx+8/w0JeP0bFc4jBm9ZJLfihPujeNHUps3DyA4oZ85P1fwGnZwiIjS4RBSGOxhp5Pky2m2HrDej71kYeoztWRNQVJU4hi1jqbqYzJTa/bScuPqM5cRtVVUGXwQuIwJAL6xvsYv2GcTsdj9VIZTVNwFME7j7oDq3ougWZojB3YgDVbZUWSSZVytNRlZEUsQpAk8r0pKgsNJBMqU3O45QZOHKMYGvmNfQyMFGnXxIDf7PkFFidWsGtNrEqD0Bdisj5fEamSsoJt+yw8cprGYgNJlrCWayQzJk7bweti/gI/JNOX4+zjpwm8QLzWkuh0S7JEYV0vjaUqqqGQzAtveHl6FT0hFkSe46NqKoqmUJ6tgiTRs64Hu+0gd60jeleIK5qCJIFjudgtm77Rni43PSKRMVidq+J2XK55zU7qqy2iMEI3VA7f06A8X8N3xLBpcSC/ltrXrnVo1SzMhE4im8BIGXi2R32lsUZbkRWZKIw5/dQFcYGIBVoylU0QKRGdli3MazFix0aVRfdckbvYQRnfCZi/uES+N0NMjN12uHh4klxPtmuRicSwcSaB7wb4ricGXjWV5HCB2kKdmIgdN21j84ENzJ6dJ1vKsPeOnSxOLq9F2Xu2z+LlZeIopjCQo9hfEEOeCzWS6QSpfAojodMzXECSJLGAsn2SuSSdpk15XqTCGqkqp544j+8GhGFEq2aR6xENhzAQKbFWxxOfG0ni5GPnSWWT+J5Peb7GqSfOk+/Lohoqq7PC5hIGEV6Xwx4FkZhNkCTKCzVS+SSpfIqnvvQc6XyKXbdt483/4id44gvPUl+uY6QMcj2ZrsVHDIIV+nPMX1ji4uFJ9r1219q19uZ3XsfYzhGWp8sYps7YrpG11+eVqBdjoMNLc9AnJiYA6O3tfdEFwxW/9pX7vtS5nD59GhA+9MnJSf7wD/+Q/fv3Mzc3x+///u/z8z//89xzzz188pOffEVEerVa5fd+7/eet/j47mo2m4yNjV0V6C+jrnbQX5natm0bJ06c4Mtf/jL33XcfMzNihmlsbIzXve51vP3tb/+BFuo/cgI9jmPa7TYHDx7k1ltvXUsJPXr0KDt37vyOQZxXsn4Qga6qCq+5cRMZpUYyOcSePXvWLmztjvu8i7MkS7iewKPFcUwhn6Tj+DTaDumkjixJuG7AxrFe0kmDwK3x3z7xJMurgqmcLyQJwhA/CNc86bPnV2gtW4TZBHEcc/joNGEcESclsi2PhCYhywY7tw7SU0rxl59+mqOn50gXk1iWi93x8ByfVMZkfNcADd+lOdfCjGXMjI4eJ6Cl4rVdwrSKNJTCDiNyuk4TcKOIIIpIpUw0WcZxAyJNwigl6F2XZWqqLtIDiQkiMTAoqYpAGQ6l6NlSYlRLErZcWg2bKCmTTia7JASdUJfpKaZoHF/kC18+idVy8QKRbIoCSKCrMkYxyU9ct5mpY/N87uuP43oRkRfiWR6KrhB6YkBvfNcQT3z5OIeeuIQfRsSqAt2IdLk7jJkbK6FnDe79yGHBadcUYikiDEJqC3WcICRbTHHgjq187mNP4LQdFF3txpjHxFKEFMfke9Pc9cuv5vS5Jaxah3xPGq/r35dVmdiT2Xz9OO/79dcyPVnmoS8fJmjbKIBiaviSBKiohOy6eT3aaInW05P4liOGG2Vh29A1BVVT0BQJs5Bi5dwiM89N0Fxt0l5WkXWVyPUgFt3TxkobRdOoTTexlmrdoKYY3w9ZOb9Aq9zEKCT52B99keZ8k8AJsJfF4KusqcRRRBRFdGpt0sN91BYbtFZaaMlvi4+vdVh/zXrSuYSIis+lCaOIpdMzSKoiRKsfouoaEjFju0e4FAYMrh/E0BWWJ7uLClUhmUuSlmUgxu14EAsLkqzIlAZy9AwXaFctAi9ET+gQx7i28KoDzJ1fEOQdIFNMY6ZFrsCpx87huT6KIlMczBOEEVb3u0YcM9ewSRdSSMSU56rCTlJpEfohuZ4MteWGoJvEYocm35slDELh41YEZk9Bxum4JDImZsbEs8VOQiyFRD6k8ykxGBtG6KaG1bRJZZOCc29qFAYKLE4sISsSmiH88GEghj3D7rDq0MYBfC/Aalhil8IJaJRbdBoddFNbCwQC6DRtcd5tpzuUqtBYbrI0uSqCrXSFhz75OJWlBnbb4fLJWXrXlcTcQRR1rTE2oR8QBhELF5doVVoouoJuanSaHUI/JJE2UTQFu7trECMWkoEX4NouyWyCKAxprDTZcfMWzKRBfblB31gPRtJg+vQc5565SK43SxzFOJaHoslUF+tsv3kLjuVy7pmL7LptG7tu28bWGzbRLLdAgk/+7t+tvd8gvP8QszJb4fyzl1B1jZGtgxgJnXXbhlm3bfj7uv6/VL0YYhFeWqBfGTD9Xt7yK7vJjUbjJc+l0WisARcee+wxjhw5wjXXXAPAjh07uPXWW9m1axd/+7d/y6tf/Wp+6Zd+6SUf83uV67rs3r177Xfb9/01q8+VuvL/qVSKI0eO/EDHu1pX6x9asixz1113vazdp39o/UgJ9Cu2ljiO6XSE59C2bQ4fPsymTZsYGhr6oR1bUZS1jvYLlR+EPHLwEkdOz6KpCjfvX88N+8bWLCknTpxAlmV27979HRefvduH+fpDp9fEtOsFxFHM+FCGMAz54n0nOHppES8IWVpprFlheoop3vK6XbTaDv/j44+zWrEo5BNEUcziYh3ZUJhRaqQShohaX7VIJXWy2QRLlSaSKiEHEoqs0Gx7KNkkd968mZ988z4uz1Q5c3GJvmKaZEJneDDP3HyNat1ieHsPJFQMSSElq2TSJistC11VSfUatDSFwkgWsyfB2+7YzdzpJabPLhB4AbouSBhIEqm0QWFTL9s39BI2fappk3KrQaRIAoWIDBIkCibppMnyk7PMtTxcx8d2fKSESmazINj4ToiZ1pk/Mkdn1SKKIexG21dnqpilFLIso+gq63cMMHlknicfOU+kSEhpjdjz8b1ADPIZKql1OUZHC9z3P58lVmTSaYNYkXFlCcIYsydNeiDDO372eu773CHx3DKGCGCRQyJJOEbWbe3nXf/sFs5eXKTTcoQ9ppsWGkoRcQSaIvOmnzpAtphi8vBlQUUxNJKlDFo2gecFJLMyr3/zHqQY7v/4E5x/6iJxID4nSr1NsieHbKroqoYfSxz53CHs5Sae43XDeCR8yyWQJQJVJjQ04iDm9P0nIQiRZAk/CIkkGcXUifyQWJKQTR2zJ0d7ZkVswxsaxELEhV6Iomhsv3E75544j55KQNAWf5dFpzeRMwm8iNALGNrWz9L5JSRNQVJkegZzpNMmjdUGW/avJ5QkcgNFktkE8xNLLJ2eJvQCPEvCzCTJF5IihEeSiFyflcklin1Zhjb201xpEEfCkhKHPk7bIZUTRJf6ch2r3kaSZFRDRU9o+G5Au9oG8VEkXUhjt0T3PgojojjGma2Q68sShTGN1SapXBLP87l4+DKBJ+wocSTY7hIxjuWgmRqZUobA8zEMjVBVCLyQoU39+I5PEESYKZ3QFwJ2aNMAjuWiqDJhGLN4aYnR7cMoiiIsMorMiSfPISsShqmhd4PInLaw96QLKVL5JFbdotN2uo9vEAYh7XoHVROBR2EgMJ6Xjl4WHPlY7GItXV6lvtIk8AN8NyBdSCMrwkIzOzFPHAvRKnj4AfOXlsmU0kRBSKdl8+w9x7j29XvYev1GLh65THWhRt9YD8WBPNNn5tENDc0QHnHf8bHbLqM7hth163aWL6+w+9XbueWd1/HlD93LkftOku/LYrU7NFda4nsiSSTSJqqhYrcdrJpFabiIa3vc9lM3sXHfGPf/zWNUFmoMbxlgcWJFJJtKYjB55sw85fkqjdUmhYHHUTWFgQ39bNg7hqLK9IwUmT49S6aYFqF2HRer0eHwN49z7MFTyIpM/3gvr/+F2+kb++E0fuAH66C/0tXpdNb+/7bbblsT51cqmUzyi7/4i3zgAx/gwx/+8A8s0A3D4P3vfz9/+Id/yIc//OHvyTiv1+v8+Z//Oe9///t/oGP+ONRVDvo/Xvm+z+OPP85rXvOaf/C//ZER6N+eEnqFzGLbNkePHmVoaIj169f/UI//vTroURTzkY8/xlNHp7oeYHj2xDQ/9cZruOv1ezh79iyWZXHjjTc+r1Pyhldt5/zEMpOzIi5dlmV2bRli75YEEzMVvvnkOUxDY/vOIcorTaq1DsWeFB/4v9/A6HCRJ5+doFy16OtJfwdpoGN73LJznMV6CykT05yok88msF2fIIwwDQ0n9MjmVFK9KTLZLLdev5HZ2RrL1TaeF5AwxcVSliUGB3NEYUSiHDA/vYyuq+Kx/JCAkIQhBgclYGgwh5OAC2cWOXtiHtsJiGKIUqCrCoEfMjBeRJFlpp5boLbaxvJ9kS7qdreqNQmjmEDNGthzLdyKLUSRKoMsEbR9FibLpHNJkCWSeYPqZJUwglgGWRODlbEf4jg+hXU5hrf0c8tNm/jiXz1FIEE+Z5LOmpRVGbfhoA2k6d3ay85tg1QvVXHaDoWBLLKskM1KtBUJr+2x5cZRXv/2fUh+RHW1LawHEciqjCFJeN3X92ffewvLc3Ue+dRztJdEpyvwAlRJEEviICJTyuDGMf/933xeCNA4xm05OC2b3EgR2Y8o9GeZmq3yqT97iJVjU8RhBIoMiA5xa7lObrhAYiDH5bNLNOdrKLqKomtEUUSsaWi6jKYpJHszxIogg8RhJEKGuoOliqKgKBJbXreXTFpn6vgsRsagNbWMogmykKLp9AzlWZkuM7Spn0wuSeyHpDImcpTE1jXhfUYik0vRqLSJFRlJCfE7HZx6RwT2xD7Z/ICwcsiwernM1MkZVF3BaXbwbTH8Hfkiur2+VCNVSLNwcYlO1UKWbLyWTXmmjJHURdBPpUUURCLtESjPCcZ3FMZEUYBre6RLaRLZJO2K8Ikns0msRocwjEjmEgSusFhIEriWi6arjO0cWaOzxHFMdbFGIptANzRiMbNKsyIsMGM7hmmW2xhJjcALWZhYYtP+9cK+4wX0ritx4dBlrGaHlZkyrUobJKmbeinhtN0137aeMICYRNqkttxEbXRQNOGfN0yNlZky8VS8NqgaRTHzl5YEj7xrG5K7SEffEYsCWRbWHkWVaZa7VriEjm5qNFabLF1eZeM16ynP1YiiEEWVyfVkaKw2hS9dU8j352iWm4SBWBRtvGacgQ29lOeqvOfud3DikTO0qg9TGiqgGgqXT8yCBJqmMrJlaM2OkuvNoGrq2vGzpTRB5IuudgyaoVFfbuC5AbIMxx46BbJM6Aac23uR8V0jbNo/zmOfM6gu1klmTCoL4nuraCqXDl/G6bgsS6ssXV5hw94xEimTbTdt5o6fvpmb3n6A8nyVmTNza+FQQRBipgz61/cSBhGLF5d49HNP85O/+eZXzHP+/N+PF/egv5RAv8JIt237Re9zRXS/HOvnt3fid+zY8YL3ufZawX8/ffr0PyhI6cXq7W9/O1EU8YEPfIAdO3YwPDxMLpf7DsxiKpXi8OHD/Lt/9+94//vfvzZ7drWu1v/qqlar3Hnnnd+Xw+JHTqDDtzjhx48fJ5fLsXXr1h/68b+XQD8/ucwzx2dImhpJUweg0bL56oOn2DxiUl5Zeh7r/EoVc0ne/yt3cuT0HKvVNkN9WfZuH+H4sSOcnaniegE9fSkx3T9aIldKE4ThGhHG88U5yfK3VrNX/Oq3H9jIhrEepmcrnD80y2qljZkQ5xAEIVEckcoaJEydxYtl/uiPv0EYRoRxjB2FhEQM9eUxNZVqrUNlqkoDCVVVqDea+F4oYu6TKkEyRAohnTMxiwmWzq/wbLWCpEhIKZWo6WO3XHxDoTiYQy4aSFZIbbVNqErEhoreZ+LWfSIJ5KKJOZghV0qyPNNEUkQsva5rmKZGo2qBJJEcSpMwXbYOD/DUoQVCYtTuIKssK/hRjJLRuOl1m9jY18fK2WWqS030tC4GXoFSIUXZDRnd3Mfejf08+tfPUltt4bsBVTugMFpE1RR0SUZJ6dz1tv0cfmKCpx46S2u1RRxGRG0XzdSIEcJ73a4+zhyb5ev/82nsjidsLYqCFIrt+ziOSaQNNt62ia998iBWtY2kKXTb/wRuQH2uxtD2IdbtW8eRJy5hrQifvqSpSECMhKxJSHHM1uvGaCsS7kIHM6Ejm6qwb0hgGBrF4Rw737YPa77B/IUVOksVIsclRnjKE2mTUl+GykqL8Z2DzJ+aw6q0IAzRkjqh7WIkdNHZlUWYku+FnLz/BLXZVWpxDLKEZuq4lo0kybRqHSFyEwbzR+ZwG4LaEscxzZUmrUqbRCnDs4+cornQgCBCViRaq00kQNVU4kjQZKI4JlXKUp5aRdYVTNPoes49Urkk175hL2efugiKjGoatFYbREFIfiBP4IcoikwUCkuJrChsv2Ubhik6s6uzFVamyyiq0vUWi26qYzkEjtipSGQTJFIGvudTXaoTdIdS6eJEZVVZS5yMghBJljGSOqlsktNPnsfvPs7s2QUyPWmsege77aztprkdFzNlcPnULLouPPTNSpsojvA0Dd3UxBClY2MkDXa/egfHHzndJcZIJHNJ7JaNVbMpjeQJ8il818e1PbZev4mJo5fFQiWM0EwNVVOoLTdIZhKUhgsQi0TRTtOm0J9H1RSMZII4BjNl0KopyHHMwHgvVqOD2/GQZeGNd1oOvuvjuQGLk8vUy018z8exPcrnyyLlNYwIVIWj3VRSz/FplpucfOw8dsvG7bjMXVhEz2jCk9/dSbyyqwEwd2GJdCFFppDm0L3HKfTnuOntB7jzn72Khz/9FK1KG93UCX3BPU/nU0iyjGaqhF4oBleHC1x4doItBzawYe8Y7/m3b+fcs5foNG181+fMkxcZ2CBIL7IuUxopsjS5Qn25QXHw+xsEe6n6Xh10y7K+p0C/Mhi6urr6oqL1ChLxxYZIv73y+TymaeI4zoviDDMZ4b+P45h6vf4DC/TV1VUeeugh/vRP/xQQC4lsNruGWdR1nWQySa1WY2xs7Ac61o9LXeWg/+D18Y9//GXd7+VYx16sfmQE+pW6YhmRJAlVVZ9nGflh1RWLy5Vjf3vNLNQIgpB8xly7LZnQqTc7HD5+nrve8mqSySRBEGJ1cYvKt11ITUPj5v3rmV+sc98jZ/n6vSfRFJdiz/M7HmEYocgSuqbi+SGVlkXbdmlNOZQKKbIZk1qjw/BgnnVDBY6cmOFvPvcMbiw6ybbtgSQoJNkek2wpxdTFGn7VJ9OXxXJcGi2HwA/peAGrFYtiNgl2AEFMvidFuW6JEBRDJghDIiRcJ6AwmKZnY5GaZRPWXVIpg5rtkCiYZIpJmlUHuahjjKbYvWmIxnSN6lQN1wuQpZBEwsDQDNwgJLkpx+btQxTTJo2jK3RcF9X8NhaxppLuy3DnHdu5ePQM9qzo6MV+CKq8ZsOQFRmjaNKYrPKpT53Eslxcx6dTlVAkiWQ+QeAEGIbKjvV9/P2fPUan7UJ3wRM4HpWpCmYpSRjFbN0/yunjszzwtePEEsimRhDExI7YTUCRKIyXePsv3MLH/+sDBH5AtpSiY3u4XYa6ltAZ2THIrW/dwxMPniW0PYF1MzSCICSWJWRJIpk2eO+/eQNPH54iaDvopootScKXjrDR6IaKbihk+9Isnl6iNVXGqVkkckkSaTEMmjZVkqU0bstl9tQ8c4cncKtNoiAktBwkVSah99JYbYGi8OxXjtKYXsW1PKxyq0sJkeh0O7idpo2kqixOrmCv1oXtRBJseDcAJWEixRGe7WPkM6RLWWpTS4J3rqvIskjgJI7ZcdNWVqZWMUyR3mnVWmJ3QZbQU8IXrUmiGx0GIZIEkqawbusgqqoQBKGwj3ghmw9sxEzpeE7A7DmJ5nKNVqWFrCgkcwkkRUZRVeI4Yvb8PIku2rE4mBfJlo5PFLYJ/ZDAD8n1ZWmsNLl4eFJ86GJQdIVcT4b6SgOv4yJYi5DMJnDarjhHWYJIiEQzpWOtumtDrI1KC6spCCqarq7tuAlGekCmmBJkEWL6x3tZml7BMDUGxnpxbQ8jaaAndZCg0J8n1yOscGbSZPKEwFuO71wnxK0XMHF8GkWVkWQZRYZExhQ7XV0ue7qQotO0aaw2sds2KSdJu26J17UuvOmu44mBXQkmj08TBRGeK3zKp588j25qBG5ADHzlQ/dSGi4gIXH52BRRd5haQuAb6ytN0vkUsiJTnq+TzKbYddtW4jhmcXKFyI8Y2tKP1/FZni53PegRbscjRuzQbb9pM61am6P3n+TAG/bxqnffxK5XbWf+wiLJTIKv//kDzJ1foDiYZ2lyBdUQCaf11QZjyjradYvKQo3R7cMMbOhjYIMYEj178CLnn50QOwWK+P5HUUS7YfHgJx7H6XgMb+pn96t3CL/9K1Qv5kGPouglO9TXXnstsizj+z4TExMvGKpy7tw5AK677rqXPBdFUdizZw/PPvssy8vLL3ifK7dLkkQ+n3/Jx/xe1Ww2+Tf/5t/wN3/zN+zZs4disYjrujiOs4ZZtCyL1dVVlpeX2bVLDO/GP+rq8Gr9L6/3vve9L0tbvpAmfLn1IyPQr7wAV1JCQWCg/rG2ua4c59stNleqt5gWP7BBiK6Jv3UclygKuOHAHrLZLN987CzfePQMrbZLTyHFO1+/h5uu+ZYtZ26xzn/4k29QrVkiNMXzSSXrpIspFlYbFHMpfD+k1XG444bNpJI6H//qczxxdJJk3qS+ajG/3KBa7zA6VOCfvluEXnz+a0ewLJdNm/poNx0WFxt0bJdkySA/WqTccgjbAdm0iazIWK5PIqnjdnyy+SS+IZHKm2zfVODJ8nn8MCIMI3RNIQxjFGK27Rmi6QVcc80odtMmqxsc15vC6xpGaF2Wdypjks8msE5VeOJIGc8PcYKQICmRNDUMXaftOBRLKUZG+1ivJjn91CyeH+B0PMIgIpkWAkzRFUqDOSqXqpx8aoUwlok0hdgL8S0fWZWRFAmzL0Mmb3Ls0SlcV/DQ0RRiN6AyU8Xzc0iqzPC2PlYnVum0XSRVFt5dOSTyQ6IgIJFLML5jiHf//I382QfvJY5jir0ZHC+gqSp4LQk9a7L7NVt4+1v2MX12idZqS6R3agpp2URRZPyOx/i2Af7tf3o3X7/vJJ3VNrIsBLcs8y0xRczGbYPMXS5z7CvHaHSTF2MJAtdH7toAAs8nkUtw7LFJyhcWkeJYiDPHR6lZ5EZKuMTIYczBzx/Cr7Vxyg3R/ZDFQiYOQurzZQrrB0gP5Fk5vyD87aboYMeRhGQaZPrymAkVz4tIj/SwcnJKUFZkBUNX0HSFTsNmeMcIO1+9k+MPncbIJvCaFg1FQlaEJ7o4mKdV6xA4QnAGXoCiSERByLotQ9g1McRoJgxc2xeDnrKEmVWoTvuEnYiLhydIFVIYSQMzqeN2XC4emkRWRGS903EJvFAkuQJ2q4OsKPSt76O+WCMMQry0SW1Z0FX6RkssT5fxOq54/VXxXK4IAQnRMfKdgEyp6zV3fUAg/9yOsI8ki2lCP1izTDRWW2w+sEHQS4KQwU0DTB4TVrgrgUKSJDjddtsh15ejOJDHsRzMpMHyzArZngxDmwfoNG1SuSTNShPd0HAtl6W2jVUXFoYojDDTJouTKzRWmwR+KDCV3ZAnq26JBWvS6NpcFOYuLIoFURTjOR5LkyvYLZtkNkGr0sZuO3iuwBu6todjiTRP3RRefqveQevNkswlcdoOtaU6227cQqaY4cFPPI6iQDqXJAoj2o0OxJDKJcROnR9SX2kQRzFbr9uIkTQYu2GAV//kzdz7kUc5ev8p+sd7aJRbrM6UxfuiqfieT6dlY7cczj97Cd8LyJUybLtxc9eSNMzy1ArZUobyXBXfDQjcgHa9w8GvHKLTFHa5fG+W9XtG167Bo9uGKQ0VWLy0TM+6IqEfMnNmvmtVWiGZTXD8kTPMX1rmrb96J/m+V4YW9mId9Cu2le/VQe/r6+PVr341Dz/8MA8++ODzBPr58+eZm5sjk8nwhje84WWdzzve8Q6effZZjh8//oJ/v0J52bt37/fdPb8iai5cuMBXv/pVfuu3fouf+ZmfIZlMoijKd2AWPc9DVVU+/elP88UvfvH7Ot6PW4kO+g+b4vJDffj/LeqnfuqnnjeAHccxq6urTExMcOHCBd785jd/33CSHxmBfqUuXLhAvV5/WYlor2RduYC+kEDfs22IzeO9nJtYRtdUwijCcRxuvXacHVvHeey5CT7xlUMAJAyN2aU6f/GZp8imTXZuFgisex48RbVmUSykkGWJTqdDs+2zKZ8m1CRWqm1UReaW/Rv4qTfsY36lwaHTs+TSCdYNFHDWeSyvtAjDiF9536vYtnGAy9Nl4VnPJ5EkiUwugaRELC5HvPON+xkeLbGytMi9S+eJYxnPF17xK172REJn884+bNtDUWVcNxD3iWKiKCbwQoyEKjqfbY9T91+g2bBxu7xzOa2jpDVUTdghYj9k5cQyUVdwBb4Q+5ErE2cgcIR/ODmQJm75PHX4PM2OS5xWoaPguQFhFJHMGBTGi2wY7+HkYxN4YYyZ0khlTeqVFoEVIKU10gNZihsKmLbNqu2DpqBpCrqu4soSkRdiFBPsumGM17xqG5/78MPEMaiqCJpRNQU/jiGCd/7cjRy4fgNP3H+KylSZyO8GwOgqaiFJ1Q8ZHevhl3/hVfx/7P13mCVneeeNfypXndy5e7on5yRplIWEBAgBIkpgvBhwWEfWGP+M194V+F0wDviFXWFj8Bosg3ltjMGBILJAQlkozEijybG7p3OfHOpUrvr98VSfkYyEAgLbsu7r0qXp7jqVToX7uZ/v/fl+/qPf5c4v7cN3BPc+tF2Kq/rRVYVEkTn/0o1865/3csvnH8BrecRBCFGC3/GEtjxK0PMGHUXm83/6bZx6V1Rlk4REVUnigDiIhea9lCXKZmjPloXTpqYgxWJ+M/QCYtentHUMSZPBDwGho5ZSF0hFkTEsIQFYtW0V/SNFqicWUHMGgRdiWhqZjE6zZvPSX7qK2nyThZNLZPqylB+JSKIQRQLDNBleM8Ds8QWsrIHTcejW2ngtG1lTMDMGgRukiMFYNDomCeWZKtWZCl7HRVIk2uUGsirj2R52yyFwA5IYjJzB8rEycRinDpXQWGgiawr9a/o5eO8RAidA1YVGu1t3Ui084jMkQCJ01wg0YhgIqVEURIxtHCGTt3BsT+jR8xazx+ZQDZVcikCVZTmVkdhsvWgj2VRGYlg6+757gMALBHUmTkQfRb3Tk4KEQdjTXsuagiRLdFvdVHIjzIsUVWZxcom5Y/Npg6bwXqgtNmiWO6JvgARV19h43hpatTa+I6gXKeWRbrPLfOpwGQYhoR8yfWiW/tESURjh2h5e12P1tlWohsb0wRlUXUVRFcycQbvaIfRD+kZFdb46V6c4lOf8a3Zz5z9+nzCI0AyV0nCR5TMVQj/szUIsTC4ThzGtSgvdMtL1yuQHcthNp4eJNHMmtfm6WFcUM3tiEbft0K51UHIJdzjfp7HYxHd9obe3dIGW9MTAe/9th3DaLpIs8cl3/y1jG0fQdI2Ne9bx6l99GXtevpsj951k/uQimqFSW6wTBTG+66ObOsWhPO1qh6/+xS387B+8mb4RkWhnSxmu+YWruPMf76M8WxMN+TkT3TJYvU0ACPpGS5w5PMupR6a54BXnPCfvlifToD+dBB3g/e9/P9/73vf4+Mc/zi//8i8/7v104403AvC7v/u7j0um9+3bx9vf/nZ27tzJP/zDPzzuM7/2a7/GjTfeyN69e7nvvvu47LLLen/zPI9PfOITgHApfbaxkqDPz8/T39/PH/zBHzwlPnFycpJHHnnkWW/zhXghnmn8+Z//OcPDw0/693vuuYf3vOc9fPKTn3xW639eJegzMzPMzc1x6aWXsn///meNPXw28dgK+r8OVVX4H796NV/89n7uf2Qa17V56UWb+KWfEV29t917nDiOGU7ZuRlLY6nS5o4HTvUS9NPTFRRV7mnJJUlCU2QaDYf/84E3slBuYRkqiiQTBhHVho3rBT1+umnpTEz0cerEMn/7d/ehKwpr1g4QBCGNjsugliUIfDqdLpZlsWFikPN3r+EfT87gRhH1SgfD1IgR09eyBAOjeVoth/lDZRZiCEnwO8ItNPBCNE1hbNMQlWqHxnQdVZIJifGjiCiKCRoOiR/gqjKmqWGECe4KWg5Ak5GSGDkSCTyWyuDGPlZvGKR7qoHt+MSqRCGfpVjKUplvkhgKmy5Yw5WXbCIrydz39YMgg6EryJJMaSBHky75dSWueu1OtqwZ4u5/eZA4TlDls/guVZEJlIQd56/mFZds5pYv7GXy2CKsEEr09IUZJWgZnR07xvmDX/8syzO1VJ4By12PwY1DhEGMIsmce+E6/vz3v8Kj3z74uClYr+1SO1NByZqsWjtAJ4q585/2EfshkqUKrUqiCY00UBjOM7R7jMp8i8jxUS0NkMTARlFINJXN56+ltHEYp+1SnqxgRzGKJiqMSRyj6SqKBKs2DjGydRXNyWU0CRRLw02xi6qiIMuScO2s2sRJwsLxefx6i6AhoWVMcoM5MgWTdsuhWbGZOTjL4olFIruLW2+JQYEEge0QhyGeE1Cv2Mx++UGchk2CSDQVRcL3Q4Iwwmm7JHGM1Z9n8uHThI6PpIrkrdtyBO98YoDWchNZlskM5FANlcZcDVlV0HWNKIiFTl1XGVszzNSBGcY2jhJHEY2lFkgOsiLkQJKpkiQIB9AkRtMVhtcNoaYzJfXFJq1qh+G1g1h5C6/rkevPUVuo0ap26NREg6iRMSA1AFqYXE4pLjCwqg8rJ3ju9eWm8K+XxMDAyBocvu+46C2QYOboPNmihWaoKY3lrGQvP5ATTaOpfimOYpCg2xS6czV10nI7LjNH51EUBVU/KzY1sjpO2xXOpKZOplCi07Bp12xyfVmG1w5iZk3shs2ea3Zz8K5jjKwfJlfMoGgyzeU2TtslU8iw4Zy1ouHS9rByphhwpMeu6UITLytyD+E5f2qJRrmFosjMHJsn9EKitILfVFq9irkkSyxNlfGdgDiKcDsuB24/jGaohH5Eeb5K9zyXYn8BJDhzZA4rL4oxSZLgtLpoumgqjaKYTt1GURWGVvdz7MGTrN62iotfs4f/csPrue8rDzF/aomh1YNM7p9GVmVG1g4xMNGPpqucOTLHqYcnufBV5/Xu1TXbx/kv77mO6mwNVVf5+ie/i+8Gj3kPCKRnq9J+Zi+QHxJPJnGxbVuYQj1F4nrVVVfxx3/8x/ze7/0e119/PR/4wAfI5XJ8+tOf5qabbuLVr371D5BPPv3pT3PkyBGOHDnCDTfc0Gv8BOjv7+cLX/gCr33ta/mpn/op/uzP/oxLLrmE2dlZ3ve+9zE7O8tv/uZv8va3v/1ZH/PKc1iWZbZu3Yqu68RxTBiGPW+Txy4rSRKvfvWrueaaawCeVLP/QrwQz1X8zd/8zVM2Vl9++eXccMMN/M7v/A6f+9znnvE2njcJuiRJDA8PUywWyWazvWmwn+T2fxhqsZi3+LnrL2LbeIJlWZx77rm9h0yj5aCqyuPWJcsSzdbZzvtSIYPjLqKqrmB3A0EUMT5WRFMVVEniU5+9lxOnl0GCjeuG0BSFlu1SSl9gs6erNGZaeMsOkiSxd/80sQSxLrNcbWFpoKo661b3sWvbKr5751G+c9dpZF3CyurYHU+wlnWFoYkicUZm6WSVyA0pjhTpJhF0FIKOD7pMXNLpSBHDpkUrkTBzGtVGF9PU0HUV3wlQiyaRkjC0roBzoiO095JEjJhWVxQFSZMxxgvk1hU4Z/0YG/pL3P7IEn4UoRtaz6jHzOjofSYFZL7yF3dQq7TpOgGJIUMBkFLnRV1l/fohdvT38aWb7mP2TIUkTghsHykjzm3kR2gFg/5iho/+/ldp1Lpin1SFOAhJIpF4SorMOdds55P/51ssTFWQNRVZl4j9kMAJKE9VMfqybNgxitlncvT+SUgS4VYZJ0RhLBw645jzX7qNl73+XL70+QcgSugfLuL6AV1VIdQCdEXmmrdeQnFDPwe+f5radJ3YC9GyOrGioKkyqipj6iqXvGoXU7UO5VNlnGZXSF78MGWCq2iGKppNY4mjtx+hMbmE23bSQaBMHESCeKNIVBYaqJbB8XuPE7Zs4lAMQj3bJXQ9jL48UsZk3y0H8GodIs/Hq7dEHplW9qMworlUZ2DTOL7j4bYcFFMXhd1EyCcG14+S68tQPlMhN1RCMzUWDkwha4rA6ekqvhuQhBHbL9/GzOE5ZE2lbzhPa7lBZ7kpEvSMhqpqKKqM2/EIUn10t+Uytm6QQn+eI3UbSZJ7L/LQj1AUcY02Ftscue8YIGFkNDRDY/X2VRz5/onePZspCIOf0BfyCAC34yGrMrm+LLX5OqqhocgSjaUmpeECZs6k2xSUGjEwSe/5RFxHkiRcSr2uT64/S7aQodt2REOzohBHEUZWR9M14kj0u7iOB8DanRNEQYSZM5g9No/dcFLtu4miKsJlVAKQKAzk6V9VEj0EDRtFkRheO9jT1suyTLclBjC1xTqdhk232e3JcHwv4ODdR3HaDk5HVNwP3Xtc4G1bLqEfke3LpA2/sHB6uTcTEbgBUwdm0vOhYze6dBpdNFMk9aEf4nV90YugiF4E3w3IFCyMjI7TdbEbDruv2EEudcJds2Oc0Q0jPHzLo8yeWKB/tESn0cW1XeJIOLOu2T6OYRmc3j/N+a/YzfjmUd72vjcJ34y6zSd/+2/RDK0nK0ovS6YPzdKqttNZibWMbx5D09WeLn18yxgH7jgszKhkidAPiaOIwfEnbqB8NhFF0RMm4SsEl6ejb33ve9/Lnj17uPHGG3nZy15GEARs2bKFj370o7zzne/8gYT2zW9+M1/4whfYsWMHO3fu/IH1XX311ezfv58PfvCDvPvd72Z5eZl8Ps/FF1/MzTffzOte97pnf8CcTdBf/vKXc+rUKT75yU/yjne8A13Xn/QzDzzwALOzs7z1rW/9kXS//xniBaOiHz1+/ud//mktt3Pnzp777jON502CDmCaZu9B9qMYBz3bkCSZvQdnmFmyKeRMLj9/PQN9ooK9wjqXJOkHGld3bRnjO/ccFQ2eikwQRMQxbN80AsAtdx3l6JllPD/EqQhDFF2VsEyNV798F74f8tG/+h7TczXyWYMkgUcPz1EoWnTiiI7tkcQJyzMNNFVmaDBHuW6TSBJSnFDMGTRtlzhWeNGucd7+pouRFZk77zuBrinkigbF9UWa9S5ziw3WbRlGHzDImgaebmPnoOsHRHFCoT+Lo6tkCib5DQVWD5e4fN04f3V4iSCI0/Mk2NCSLLFu3SAuHrvHBzg2H9EMG0RAIiW9qpyRM9A0hehMh3se3M/3nADPD4lI0AYz6IMClZckkNg+D379IKEfCixjGJMEUJlvkM1bxEmC1Z9h4/pBPvvX91CpdECVkPMGUdvH7/oouopaNBm/aJy5I4vUazbZooWqyLQ0Ba/pIMkymeEcGy9cwyvecB43vuvzSLKMbohbypclIi9E01Su/6XLefFVW/mbT99JEsdpxUdGvBMlkkgiVzD59fdeyx3fOcTSsQW8po2qQKaYRVcVurZMX9HivAvX8bVv7efI1/bjLDRIohi/CYplYPblkBKwsganji2x97uHCTvCVp1UdhR0fSJZYPdkXWVhrk57tiKSREkiDGPQNOQwJI5jJEVBzZhYo/20Tgvag6yrSOkEgN/1KE4Msu7ijRy54whaziR0BYdbVkSynytl8GzRIHn+1bt4+JZH0SwdSZHpG8qTSNCutFm1eZSBdcNIuoFsqGQMhbIqi+qqH2LlUyv6tjCxcTsOTselW2/RN1RE1hSiICaOE7otYYKjaiqduqhy23Wb2lwNSZEASUhp7LBX6TYsnVbZTs8VQEy3EaJZIfOnF+l2XCRZHFe73iFwhewkjtKTkSAGem7A8NpBvK6QYGSKGaIwYnT9EJqp0VhqYWZ0kpSMMrCqhCSlhkSqQmW2im7obL9sE17Xx8qZTB44w/zJJWRZRje01PAnweuKQbNru3TqNmpdJfTC3vPFbjgoWtq3oAiTpvlTS8ydWBDXXiq3OXb/ScIwJokEGrHT6pLJW/hOIPCeSL3BVm2ung4UhESlU7chEfIORW2LhsulFpvOX8fymQr1pSaGZZAzNDqNDqEvCDdjG0dpllt4js/aHROs3rqK2z53NyAxNNEv1pNq0DNFSxhIEWM3u7i2J9CL/TkufvUeMgWLk/smyZVbDE4M4LsBTscV3hhewJHvn6A8U6U8U6FZbiGrMhObx7jo1XsYGO9jfPMYR+8/SSZvIasyjaUWnXqHR+88gm5qJDHs+84Brvm5K9l5xVkq2DlXbWf+xCJnDs+iaApRELFu92o2nb/uOXuvPJnE5akILv86rr32Wq699tqntexVV11FuVz+octs2bKFz3zmM097+88kVhLshYUF5ufnefDBB5mamuLCCy9kaGiIfD7fI7homsbIyAh/8zd/Q6VS4a1vfesTSk1fiBfi3yIefvhhbNt+Vp99Xl3BKwQXAFVVf6IJehTFfPO+RSbnJyF1vPzSLY/ynne8nC3rhzl69CjtdptLL730Bx62r716J4dPLjK/3Owdx+Z1g1z9oi3MLjb44rf3o6gKmzYNs7zcot320AyVn37dVnZtW8W+AzPMLTYYKGXRUuc7RZFxuwGvf9m5LDU62G2P5ukmuYxBEMb4QYSmKYR+iKYmbNs9TNtNeNGLNiIjUavZdJ0Aw1B7D8tSf5ZW16NPUulO2niyQ+yEdDouWiY1GQKiOMHK6QwM5GjVHW6dOkq74xIEEaiC2BD7EZm8SazLeLMO9xw7heOEBHEiON6I6qtqqEgFHSVIaJ1pIEsSYRKTyBL4EV7VYcENsTI62cEM/rTQrsaShKzIoMpEbkgSRPhKwsjafvZcuoEMCtVqBzOvI0sJlqXRNj18J2Rg1zAbd41x1cWb+Mc/vQ0Jeo6rhYJFK0XR/cYfvp71E/3cffsxoihB1EVFaJpC7IesWtPPS67cymf/7/fY/90jBG4IcSIaBVWFJK2eb9g9wY3v+zIHv3tYVGSTBL/j4hS6mIN5Yi9kYKzE1760j/3fOoi/JCzSxUlPiLoeLpCbGKA40cfkozNEjo9saCRySBKCpGtouoKiyBQn+kFViRyfDsJxNIlSooahomd0Nl65HVOVOXN4Hiur0zo1j2poYhlZYmSin8XpCmMbhhkYzCInCbquEBkaYdpsGAURRkYXzp2SRHO5ReL7uA3RIOvqEnopR+iHdNou3UOzLByZIbW4xO24xFGMLwtKDLKMkTU49cgkjXnRGOu1utTn60JFniR0Gw7ECbIio2d0Fk4sIaXypSiKIRBYRNVQaVfaqIbokwAJv94hU8ykVXdxbhVVIejGTGxehWaqOB0H1/ZYPFUWEgNLnDskhHQjjMgP5hjQhUurmTU4/uBpkCTGN41RGi5i5Uxqiw3mTixgN7oEKVpTT2fHfNfnxN5JkXSnTqZG1qBd66T29WkDL8J19uRe8dxZMfrSLS2t1Ceiep4kglaTct3TYjpK+pxsVjrk+7Mouo6iR5TPVLj0DRcyfWg2nSFI0E0dRVewG10My2BgVR9xFLM4VUZWJNbsmKA0VKBRbhEFEb/2kZ/lg2/5c6y8Ra6UJfADfNcHAgpDeaysQX0pRjc0ikN5Oo1u75I2c+ZZVKUsZjiayy0818fI6Nz/tX34bkDgBTSrbUbWDdGqtmlV2gJfWbSoLdTxnYAojGiV24RhRLvaoV3tsPOKrRy65zjVxQZv/K1X89K3Xk6r0mbu5GJvHzRDY2TtUIrWhMXTy9z75QfZdMF6jPR7Gl4zyOve+QpO7pukXeswNDHApvPX9WQ3z0U8mcTluWCM/3uNlUHJV7/6Vf73//7fANx+++0ADAwMkM1mH4dZLBQKPPDAA/z6r//6v+Fe/8eJJP3vx72N53OcOXPmSf8WRRH1ep2HHnqI97///T260DON51WC/tj4SUtc7t8/zfEzbXIZg2xGoMpqzS5/8y/386tv2sXCwgKXXnrpE07RjQ4WeP9vvorvPzxFuW4zPlLk0vPWYpk69z8yje34rBouIEkSubyJ4wbUmx1yWcEs73Z9oihJXSFFaKqMHcdsWTvEm151HuVKm/33TtJsdcnlTCAhiYWJkm5pDPT3sXxwns/cdHevquZEIW4c0lfUKRZjXC+kOdfkodM1YZriBYKdrEpItoqkSESuSPyH15RYmmvgztiokoxaNPArXRIvohvGqKZGfk0RwoRuTfC2E0PFHLHwmx5xkBCbCgxYZEayxOWukGLLQg6gaRKRhKi25zXyG/u4/OIN3PF/7xWDNFlK9foSsSyhGApju0d5yxv2oLkJt33roHBHLFlEkZBAFPIWtuLzqmt2UjmwwF++6wt0mg4x4JkaRlZojIkTRsZLDFkmH/m9LzMzWSEMIwhifNtDNVSRXMgy2y9Zx//zG3/P8smyOEZJAkkiCgR3GQmKwwWcvMGJW48SBxGSrkAkBipuywFVYfN5a+hbP8iBO44huZ5IxBRBUSERg4OMqfKaX7mSQ4cWCE4ukytYSJoiOOtRjGSp7LhsMyMXr6czXWPq4Dx2swNRhCJraKZA/ZX6s7TaDn3j/VSPL9CptIk9E0mRSeIY1RDVXyetis9PVZg7Nk97vgKIgZUsy7gdF0mRaSy38B0f1TTY/939eK0uSZwQkVCZqSIvNFBzGdp1m9Z8Tcg34hi/JSqzoidBaK5loDQxRO3MMsgymT5TyArS5sR1e9Zz+uHT5Et5isMF2tU2dsMmU7BQDR1WUKiyLGQkpRzrd45DivHrtgTxJFvIICsyURDiewFJEtPtuGQw0TQNazjD8lQVCRkZSczWxGK9SHDiwdNCvgTopkauL0N9qUllpto7JkVX0AxNJKZp+E6Aqil4rk+71kGzdLptFylFNWqaSuCHREEICaiWiqaq4hqQJdFLoSlEfsTg6n4hGXEEBlFWZPpX9RGl5yoMopRhbqMZGmu2T6BbGtW5GkvTFVqVDlEoBliyIvT4PT17RjRTLk9XkKQERRP7MHN0Dt/xyfbluPcrD9FtdmlV23hdj2a5TbfZJUmgPF1hOUlwOh6QcOCOIyniUTD+q7NVrLxoqI2jmNp8gyiOiOMYt+2x6JbJD2SJo5jl6TKj64fZ+aIt2HWbdrWDkTUoDRdpVYWpU74/R+CGaIaK5/h0Ww6rt61i7sQi04dm2H7ZFn7uD97MqUemcbvCDOq+rzz0OMlLaaRIY7nJ/IkFrJxFYTBPpmDRN1LkomvPe47eJD8YT0ZxsW37eZugrxTaZmZmyOfzvOENb6DT6dBut7Ft+3GYxXa7TbVaxfO8HtbxBXnLC/HjjnXr1j2t60ySJD71qU89q208rxL0x56sn7TE5cjJRZIE9LTaJcsSGUvj1HSZRw8e5aoXX/ZDH6bFvMUrr9yObXvc+9Bpvvj1R1i96qzxxWM1dVEcp0Y7QrZQ73RxvIDTZ6oUCwJV2Gg5FHImG9YII6KPf/oOvCjCcQMcJxAv8yTByChMbBjm1Mll2gtt5JyFJEvUGzZxFCOZMgt+SNteIK9phN2AQt7CDUKkUEJNkwJNV3H9EDmr0LeuhKeB7iaEkoxsKsixxnBpgMZyBzWjoQxbrNs8zMa+Al85uEAkJySxcKwsDBdwuz6FdSVWbx7ikovWcc/n93NivkOYNtitfNWarlIcL7Jx4xDygkuS2nijSCiK3JMvKJaOqav888fuZG6qSuAL2syy41NalUNCwu/65AcynLjjJA/ccpg4ERtLopjWfANzIEuCqOpfde0u/vLGbzNzooyZN9CKFn4kdLaJFyGpMlsvXkctCChPVtBMFUVX8dyASJEhiMgOZNh56Qa2XbmZb3zm+xBGqIaKnLqpJoqMTMKeyzZy3a+/lC/9y14IYxRFVINlRSaRBftZ1xRKg3liSWb55BJ2RVQxc4N5cjmDMEy/L1Pn9MMzVA7PUz0yQ9juCllDu4uWMekbH6C+3EIrZnnoSw/hVttEfohdbZNIMokfYPtdFE3B7TjIpkFruYFf76SsQYiDGJCQVAVFFoMRo5DB6i/Sml2GtJFOVRUCP4AkZtMlm1k8uYikKBgZEzkKCNpdkCVyJeEREKUV1b7BHK35Coqu0jdcxA8idF3Frncw8ya5wTz5wRLjG4ZpFkzqczV8xyeOEmEWlcpXkKCx1OBIS2iglRSBGkURdrMrdNNhhJUzCdxQ7F+qHxeVcx3X9noM8ARB9kniRFSdZfFLzxbadFUTRQNJksCHxE4EZWXFRGyleTROkCVhI+/aHsawgZfSVc67ZhfNpRZRKBqt5ycXkCVhmJNEgsDjuz6dRpfRDcMUBwskScLi6TLLZypEftST0qzo3pN0Rqe+1MB3fLyuT+CFNCuiydex3d7xrng91Jca1BcbqbY8JvBCDt59lCSGwAvE86DjMrZpJJ0pWEylbakRVbWDnjqEeo4vfjZ1Npy7lsZSk2a5jWpobD5/neDptx1yhQKO7aQzTBJmRqBfAeZPLrJ25wTnvGQHdsvhRW+4kOG1g9z03z+L2/UoDuWZOjCDoir4bkCnbtOudWhVO5zcN0Wn0UXVVNbsECjFUw9P8eA3HiZwg96shtN2aFZafO2T3yUOYjIFiz3X7OaCV5zzY00IfxjF5ZlIXP4jxpEjR7j66qv5+Mc/Tq1WS2fBoh5iMQgCPM8jk8nw1re+lSAInnqlL8QLGvTnKMbHx5/w3lQUhWKxyHnnncc73vGOp+Ux8ETxvErQHxs/6Qp6NiO078ljmkSDICSOQ/acdw7FYpF79k7yrTsPU67ZbNswzBuu2c36ibOGFsvlNn/4kW8wv9RcyXXYuHaQYt5ksdKmv5ghihIaLZet6/ooZFS+ccdhvvK9Qxg5jXbdoVzt0Gg6DA/mecv1F5LJ6PzjZ/axuNxizfoBWg2HylIb3w/JljT61vaz3HDwmy6mrtHfl2G+0kIzBFrPMjXUkkKCxtaJIfbNt9ENlZbtoqSOnIEXsnHTEE0v4JKL1zM2UsRQFR7qnGaqFdD2A3RVEYzlnEE2pyP7CWfumWZJUXBsn1CRSGQo5CziQGjxC/0ZVuWzHP7uKc6cqfYcNyVdhlhgANWCjipJHP3WCfY3XIKUa50EMUEUCDmGrmAOZ+lO1lk8VSYG0GXwImLHp77QQc/qWAWLC168gdv/6h7iJEHV1VSXHRIHMaEfsWrbKFe8fDurJvpZPFMjWzAxMzqmpdHWBBt7bOsIV193Luect5Y//5OvQyIs0GVZwrQ0PEDRVd78qy/hmuv38Mm/uh1/hdixYhKjyMTEaIpC32iBr37ufvbfchCvbpMEQjedpBQPECYvriTxz392C/ZCTSAXkwSv7aDlTTKlLChQq3U5c3AWv9oiaNriKpNE0uR3HFrLDbJDRYbXDnB676SYiTA0oZ3XVGRNIZPRMUyNCInhreNM3nNE2K/Lokk1kzNpVdusu2ADE9vGOXz3cfrH+6nMlJElCS2jk8QwMFak3XDwuy4jY0Xq08skhgIy5Es52uWzDmyyLBPGAiOoaTJJFGNX2/i2i2JoghUfC0xic6FBZ6lF48wyJAicJQnYnqheqzLZUo7KdBWv6+F3vd5ATs/o+Kl2nPR7CIMolSTJK6eLOI4xc4b4ux8SRbGQySSJIJ0UM6IK2NPqBxTWFBjfOIrTcZBkKM9WKU/X0DNnHYRlZaWx1ac4kifrWpg5i9p8nW7boVDKikQ8iummiXMSJTSWW0SpTEbRFGRJYnm6wvTBWbF/YQSSIKqI5lYxoFJ1UfkO/JCZw3Ni5JteD6cfmRYIQ1sw6J22i2qoWDmz53KqqMKJM/BCXNunNJQnW7RoVTvYTYddV25jaarC7LF5FFUmV8oKdroboKgy41vGWJ6uCNOmnMHmCzYgSTB54Ayv+qWXMrFtFTf+/CfoX9VHrphh6ugZZEmgOBVVxktRpZ2GxKn909Tma+RKOVZtHqV/tMToxmFOPHga3dTEbEHNJgojlmeq6YyJw/zJRVZvX0VxsEBxMM9Vb3kRa3ZOsHbnBCf3TZEfyBEFMeWZSlqM0MiNZGhXO9z9Lw9QGiqw6fyznhXPdTxZBX2lSfT5GCv68Xe+851s2LCBQqFAoVD4oZ8599xzGRkZ+Uns3gvxQgDw0EMP/VDM4o8az7sE/bEadM/zfmLbveLCDfzzN/fSaHsUchJ+EOG4PldfuoE1q8e588FTfPIf7iEIInRN4e6HTnPk1BIf+K1rGR0UD55//uo+5hYbFPNWr1n01HSFq6/cxkylyXKljSzLnLd9nFdfuY7y8iK33X8CXVXYsmmEru1Tq9nYjs+br7uAKy/bTKvtcnq6QiFvoqoK/YM58gWDM3NVXnPNLi69dAtBGPFPn3uA6ekqYRQLuYwik0gxJLBqPEc31rAyBlEU02o6RGlCk6T20VbWoOn6HL1/mnuW2jiujx/GBBJoeR1VF6SZ0I/oTDVwOx5S2riYxAmxJpMYCs3QQVNk+sbyaIbKkQfPUF5u40kJSlYj7PjEXkSgJGhFA2ssR9zxcRsukiZTyOeICibN5bZw8ixZmCMGW/as4sTXThAjpuNlRSJRFYJuQKJIjO0a5Lo3XML6kSLf+dgdSI9BeamqShAG5AezvO9/v5nYD/n8p+7G73g94ylFlsnnTGI35CUv286uzWP8+W9/npkDcyRhjNNxsYbyyKqQpWiGRrE/yx+/+wucPDCH3/VFch6KCmecgBTHqLks+x45Q/nQPJEfIMQsEshyWlEWNBC9P0soKbjVqkiyFBkpFrMSQdslM9GPNpzFUhV0RSIIRaVJVtW0oioLXrmusPGSzahJjKrIZAoWforMLJYs6pUOL/nVl2JXOhz9/imsrAGxQBrqhoKiqfSNFrGbXeIwJvAjvI5D+fQiYRiJpsowIpFknG6A03aIw4hjD52mMVfFaQuMolMTMpo4iHBtX3DCoxjd1DhyzzEC1+9Vp5OOi6wqlFYNMHtwhjiI0DOiMmvXbJFzyrKQFEHP8dNtO+QH8/hd4Z6bRDH9q/qwWw6mJRqTrbxJdbZGs9omV8qeTWiDEN8JyOQtdl+1XVjPk3D60TN0Ww66mWrAE3GP+G5A6AbUl5o4HYdMXjS0CxlNjJxW5pNYzBIEfsjhu48TRwmSDKqmYhZM7v3qQ0iS3HPeREkIvQive/ZZF3ghqq6yNFVGSQfGURj1egwyRQunLbT9gRsytnGYylwtZcgnmFmTwA+Iw5j+0SJDawaoLzbo1GzW7JxAUZW0Gi2jGSLxrc7XkBWZ9eeupV3t4Npej/ISeEK2Y1g6RsZIJTuiX0jgECPiWPgJTD56hnatQ+AH7PvOAR769qN0Ww5e18PYvgrN0vA7AXGc0K7bvWZgWVFE1V1XKA4WuPnj3+ZNv/0arnjTJcwdX2T2+GJqDuUL7XoQYmZMdEsXM4aLTbZcuJHaQp29336U1dtW8Zp3XMMDX3+YE3tPo5U0VF307PSPlQAYGO9n9sg8Jx+e+rEn6E+GWXy+Jugrg5KDBw/yiU98AtM0ec973sN5550nmtels7jhlfj0pz/dG8i8gFl8ivh3LkL/1re+1WPte57H1q1b+cVf/EV+/dd//VmbT37ta1/jr//6r7n//vup1Wr09fWxYcMGXvziF/Nbv/VbjI2NPaP1velNb8I0zade8EeI51WC/m8pcZkYLfHmazZx2wPz1Ns+URjwoj3j/LeffRlJkvC12w4ShhFDqaYxn00o1zvc/v2TvOW15wPw8KFZNFXpGQFpqRvk0nKLP/jtVzO70EDXVVYNF1haWuLUaY+u45PPGkiSRDZnkM0ZTJ2pcuDRGVplm00bhwnDCC+VASgytNotdF1ncKDE9vUjHDgyR6vrUmt0cVyfRIIgFC/N0lAW1w+pzdg84NQIkwSnneIfpdTOeTRP3XbpLHZodQMkVabrBkTpCz+IY5AlXEPFALyOJ+QnUoKsIJwg44QYiJIEtU9j1Y5hRjMZHjlcAV0mIyvoxQzdlkO37SEPm4xvGWLTlhEmvzNJW5LQNDVtLNXI9GWRdIXLrzuHwT6fif5hjn3lGEkC0mPub0mWUC2VPReO4i21+L//373EKf0lVqS0MisSu4GJPu761kE+/7HbRFU2iqk1HQpjRTJ9WToNByOjMzha5AO/9Bns5Wavwp34Id2FJlLOQlFldly0ljtvPcLpA3OYhgqKhAckiUcUiupg/5p+8huHqZxYRkoSzLwlCD9hDKqMpsrsvnwzSdGiU3WoTC5DLJLYOEmQEtAMFZmEbRevYbHr41c8VEV8NpAFB1yRhVxmpRG2VWnj1Vu4jTax66FmDAxTOJ1GScLh75+mdaZCbabK4v7TeI0OSRLjNiVUS8d3A3wvpLzQZP7YPF5qOiQpogIdpYZEzaWGMJop5ahMLuF3XZF8Sgj9uiyRKWXxbPF5q5AhW8pQm6shywpm3uh9D7KqUBgq4DRszJLFmo1jNJaadBtCjqMZWjo7IRH4Aaap4emKoIv05URTte3id33MjEHfaImB4QLZUhbf8WlUWkLq0ZV6zb2qruLYHvu+cwA/dT2VSCkvtY6QICUJcSj6PJrlFrWFRk8Oo2nC5KhVaREB9JJWnSiMiMME5JQM44WonqiQy0o60FAkwXtX6DWErlS1kzhGy5j0jwlCjG5pzB2bpzhUYM32CQI/oDJbo77YYHiNcOPMDmeEOZCuYDe7+E7A2MYRjKwhnqdhRHGoQHW2SpLESLKCrEh4XWHepAQRS1NlWuU2dqNLlIs5eOcR7IZN6EfEiSfurUSYeEVBxMl9kwSeSLhnj89TnhMa/SiM6DZd9rx8F2t3TXD4nmOcOTSLrAvkZBQGdFsOqq6k/cQxbtdj4+a1rNu1mjOHZjl0zzEufd0FvP39b+LBb+2nNl9n91XbeeTWQ1g5E0WVqS40yJeyNMotagt1+kZL1JcatGsdSsNFrv7ZF/PSt12OJEn80//+Kounlx/33E9ImD2+wNf/8rsgw4Zz1rDloo1nEZrPQfxnrKCvFNq++tWvcvfdd/PKV76yJxFd4Z7/6/hhCMYX4j9OfOhDH+KGG27gta99Ld/5znfI5/N86lOf4l3vehe33HILX/ziF58RoSeKIn7xF3+Rr3zlK7z3ve/lj/7oj8jlchw+fJgbbriBD3/4w1xzzTXPOEH/p3/6p6e1XBzHzM7OsmbNmqde+F/F8zpB/0lKXAC2bxjgvO3jnJ5eoJjPcNmlF/bIEcvVDoZ+9nTLstBjLlfPGlpkTI3lShvNDzE0pffSLeRNNFVhoJTly994hPsfniJJYlaPauRMjXbHxTLENHl5qUV1qsH3Z9s8IJ8mCCMwZLwootbsYuqgqxp9pSwXnruGw8cWuOnv7qbj+JiWStcOhIxEkbDyOkpJZ2mhTtiIGRsqEMvQqXWJuoHQsOZVHFMmo2vUgphszqRpu6JiZmp4XZ/B0SKdKGRsbR/ess1yuYsky0RJTBRHPQ1ubjhHaVWB4roCL96xnm65y0NhTEyMoYnj0y0dJImhNQOM+QqTXzrKcrmF2w2IZUFbSRASACtnsWFVPw/etp9vHj9K1w0EzSVJ0A1NTPsD1lCG4/fO8vV9e4nCmFhVIBTNarIsKpta3uTSl27jH/7PLaKRz1RFEuVHtBaaeEGEkTV4xRv3cN8dx7ArLeSV6mUUk4SRSDLzOi954wXsuXQjn/4/30ZVZLIFCzOO6eoqXkel2Jfh197/OuY6Xb7/rcPCxCZ1jkwkQJHRVJ3+wRwv/9kX8Z1bDtFaWiTo+ghjmxhJkpFlcZ3FUcKpY2WWpqrEzS6B6yOnkOokigljkJME3/HRSjlO3nuMqNMljmP8tgOyROwFdFQVa6DAwqFZ3IZN5LgEjdZjKiUJoSNmAgqrh8XgLCXJKLKEDHhOTP/aYXRdoVluURjtR8sYLB2aRjN0NEMlW7DoNB2SOObi6y7i+P2nkGQZs2ChRCGtpQaSImZtVirEftej2GdRN9W0Ihtj5S2RDAtfa1FFTmKSRFBCKrNVanM14jgWCXySUBot0a62aS41mDe0XjNl5Ec93vnK/ZtZwUdGMYqq4Noeiipj5S06DZs4LRBI6QAoSUDVld75iqIIWZUZXjdIY6lFHCVkSxaBF0CSkMmbRJGYoQpcgQDdefkWZEWYVwWBz4mHpkiiBMVQULXUQyCICcKQMAgxcyK5VjUlJb+IpNLteOIZJEk4tofv+ARu0EO9xum1MXNkjna9S+AJYsrUgTPC/daPCLwQ3/XRdL1X9Z8+NCs4+lEkiDOuj5UT6MIoiHBjD1VTUQ3R7CrLEmrKdQ8DYV40MNGP23aJo4hmucWm89djZE1mjs5hDWpc9qqLue1v7yaKIgoDecpnqvheQOSH6IaGYQkE5PypJRZOLaFoCm/4jVdiZg3KM1XOHJkX5zaIqC0206ZkodM/vX8aVdc4+fAU51+zG1mWexW7TXvWMX1wlm7LIVMQ3/HyTBW76QizoiRh8tEz1JeavOi6Z6c5faL4YZjF52uT6Mq73HEc3v3ud/OhD32ol5S90AD6HMRPQIPOs1j/XXfdxQ033MCOHTv44he/iJa+9z/0oQ9Rr9e56aab+NCHPsTv/d7vPe113nDDDfz93/899957LxdffHHv9+vWrWPr1q1cccUVT2n29aNEuVxm/fr1z6pg/LxK0OHszftvwUGXZZnl5SX6CgYXXXT+Y/ZFZt14P4dOLJDLiGp3GIlGurWrhKHFvfsmqbQdHDfAdQNUTcbQVHRN5aWXbyGKYj7yiVs5fHwBTRXHtrDos3XLKhIkZhYbyBIsn6whJdBXytDpenTdADlKGBzLUmt2sR0YXdvPL/3MixgbKfKlbzyC3fWZGO8jGSvRqHdZWm6xek0/G3aP0uk6qC2buhmh6gp+FJPtzxDnhT367ivWs1Bv85JLNvP5o8tIaZOboqRTkEgUShZZS+Hqi7dw/IFplg4sEcURUXxWciApkmBuhwmzt03xqa+cEM6SSUJiKDh5nULOxOv46KbKwr1nONNyxXlMcXNuKJIGVZZRNIWxjUPMHF3i4MOi+TAzmKO92CIJI/zYR1YVzFUFtpw3ysGbjxHFCUbeQJIMnKZL7AZgaAys6eOan76A6mxDNI2ZGlLahBrIErEfse3c1bzpFy9nYnU/v//uf0BKIPVcEpVngDjmNT91Aa9426V86e++T3u5ReQExJGQNFmmRuJHjIz3oRgq9/zdfk7dcYSwIdjcUVdDLQpjkiSKMbMm3/7Cgxy6+zihEwhNepIQuWLKP5YgDEJUy2D5TB13qdE732GcgCK0vIDQhmdNCmN9VI7MCO25InjnSRJj19qM79nA1os28OA39pMpZWi3BR9b1kVjpJHR8R0fWZbYcuV2jtyyHzNroOgqhqVRGMixcLrM2KZR1l+wkUdvOyTkFh0XRZNTiYcg/CiOT9ANaVTaRGFEp9ZEq7fJ9WVIElK6ijC1Cf0AWZYpz9To1DrEUczJ1mQvKU6CGC/yhYlYkiCrCrNH50UzcSKu4yiIUHUVuymaEAV2EbptF6ftIisSUZTw2GnbwA3QDI1cxiAMQnE9+CLp3nLRRjELkA4mH739sGhoHi4QhRGKItOstHFaDntediFeik7UDJX7v7pPfCeK4Jev6OCTIGZ5pio44rJMtiAcPBVZDA6CNJlfaaL23YDTj0ynMhmBxqzMV6kv1kESpjpJDPFpIf9wOi4kEEAP17g4WUYzhQwESaJVbjO4pp/SSIFWRTDNVS1mZO0Q1fk6cRihmxqZQoHmcguA8c2jDIyVWJxaJklgw7lrATh6/0kMS6dvtERtvt5DYfYNF1nq+kiSRKvSxm52UVWZodX99G3J9uQ9RkYn15cVMz6uwHi2ah32336Y+lKD6mKDU/umkGToGylx5U9fxqbz1zGxZYzjD51ieM0gVs6kPFsjCkNmjy+gqDLF4QK3fPp2Qi/k0tefddDcecU2FifLnNg7KWg8koRh6azdOUFxSMgUm+UWR+47wY7Lt1Ia+uGa6acbPwyz+HytoK+EJElcffXVqOpZ3O+The/7L1TR/4PH7//+7wPwrne9q5ecr8R//+//nZtuuokPf/jD/PZv/zaW9dQo02PHjvGnf/qn/PRP//TjkvOV2LhxIwsLC0+5nh+GVHyqWF5efuqFniSedwn6vxUHHaDVauF5HpdccskPVDze+MpzmZqrUa51evrLNav6eMmlmyhXO/x/X3wAVBgazlOv2QRBjKok/OJbL+P8c9Zw4Mgcx08tUcibGLqo3tYbIXPzDX7+Zy7l1GyV5XKb+ukG2ZKOLEt4QYSiSiQRKHLChs0lOi5cctkG9uxeDcBypYNhCL2spEj0D+YIkphi1mS1mqGrQjUB3w/pdr0eZi2OExRNJpM3UBsd9j40Tbvj4rkhsZJKRyQZVZEwcjqttsvXvvAgzUYXP4wgTnq5jiRLKHkdRZFYOrJM5IQpzSKGMIE4xksSqk6AlTFQSAg6HrEEsiZeXEkgTFaiKMHqM9hxwVqufeVu/u7j3yORJLI5YWhhrFepL3VQ8zo7L1/PpZdvwl2o8LAfCQOeFVfSgomLxOqLV/O+919HEsZ87P/9BinYpReyJJPIMedduJbyUovP/Ol3mDu8mCaREYouUI9JHKPKMnac8D/efhONyUqaUIPXdihN9OOHgs4ztKafz3zkO8w8cJKo46RJYULk+EReiF7KkRstYPTlmDkwiwrIeQPf9kkkA3yRJMuqTN9EP5gm9mJV2JAbusAVSiBZGgOr+sit6sfQFZZmGyhRiAQoadVbJEwF6ktNhlYPkiSi2p7NGziqTCQLckngh2JGRRZumNXpCqEXENoOiqaia3lCX1i7l+cbtBoHWD6xKL67JMJrOaJRU5JwbY84AVVVmNo/TWe5SRRGyIpMq7wiG5KwGzZxKlvRsyZLp5Z6dvNxFBOHMUbWQNVVOqnkRDc1jIxBq9zGzBiiByKJiSNBNlEVCT1vsW7XBL4X4HZcTu8/g6woQsKS3rtBT24ik+vPpQ27Eq1qiziMyRQylIYKyLJMcSjfo4c0y2LAoaX3sKqp7PvOAVxbaMitvEWmYAnNd90WZl0AMSiazNJkpXftVUhQTTXFX6bYVEJA6mnlwyDqmRpJQOAEyDkDWQajoOM0XcIwJlMyxT6ksjUjo+PZvqjwrx3AzJrUFuq0qx36R/tYvXUV04dnWJyssGrzCH0jAmlo9mUxc4YwiGoIK/p8X5bAD3vnvjhUYPrgTA+naTfstBFX9FR0GjaduvhdHMc0q2IgEycJ2VMW4YUSsiKaYFVVIdeXo77UJPAClqbLYpAaJcyfXCIOY8592U6qczVu/exdDK8d4NW/ejW+4zN/clFo1ofytGtt+kaLDK0ZZHC8n9p8gwe/9QjnvmwnVk7oTA1L51W//FLOfekO2jUbu9Hl7i/e3+OkA+T6siycWqJT6zwnCfoKNefJKC4/zga1f8tYGZC88pWv5Pbbb+fVr351795bceteeVavnJ8//dM/5Rd+4RdeaBR9GpFOKv7Yt/FMolwu91j3V1999Q/8fevWrUxMTDA7O8s3v/lN3vjGNz7lOj/1qU8RRdHTNuh6sni6SMXnOp53CfpK/KQr6NPT03Q6HYaHh59wFH/OtlX8P+98Bbfde5xy3WbLuiGuvnwrxbzFrfceo227DA/mkSWJweE8HdslChN2bFsFQKVmE0YxempEhASqKhGEEUN9OV5+xTbK5Ta/cf80rhuiPuaBnqRVwuHhQVqny9x3+wnu+fZR8kWLhuexVGnj+AGDfVkMTaW53KFyosLB70/i+6GoUhsqHdtDUmV8OURGYnRDH7NLTWqnGrRjCSWni6pzkAgduxyjDWfphiFh3aVreySqjD5oEbQ88IWWOsmoSP0GVkbFC2JUXSGKEyRFQlVSvnRWRx802XreBMmxBi2qrJwIWZbEoICEzHie867Zwq++/hKmTy7TaTlCd57eW7KsYFgaAxN9vOHqXXzrcw9waO8UcccHIwZNEVrgKEaSJYZWlbj9mwf5+hceFLILEnzbS42ZhFuontVxZPiH99+cykwSElWBIOjJIiRJYs2ucR64+yTNyYqQzigKcRAThyGNuRr5sT7Oe9FGHBKas3USxxNV4BSFRywS610XrWPPK3bzwB3HCb2AbNFCUmQ8TTTc6UqOK990Ad28QWemwZnD84RuIKriqoxhqCJZV0TV3Brtw5mv49RtNFUMKMSoQEgdmrUOQRBy6pFpEs+jvVCnMSulxkzClTQB3K5H7IfIpsnkfUeJHS8dMHv4HYfGUhPVMomBxeMLJLGQFgSdrniaSwAJkR8iawqDG8eoz5RBksj2ZUXTqRugGgprdq3lzCGROA+tGYQkYfbILKpuoJoKUpI2+UowunGY5akK/WN9rN0+xvShOTr1DpIsib4MVeirwyDqaa0b5ZbQSUcRKx1VoR/2JCLECaohMItzx+bF/ZheO7lSlmP3n0BJMYaSIpPry7I0VSZwRXOu74gKsWpotGsdwU8HmpUWuVIGM2v2rOrFdSth5Uy6LQcegyuMg5hCf4aBVDstktqE/rESzXIbPaML9GUUI8kynuOxZtsE2aLohTj24CmBh7V0ZEUgROMwRpLFcYZ+hKLJqdb7rBHc4mSZdt0W5kNOwJnD83hdH9/xhfQrTgSpRZE5+fAk3Zab4hptXNsTDcBRTLftCmMlQ8V3Bd5x7viCaByPYuG6mjNEL0DXw2m4mJbBZa+/kLv++X6qC3VypSzDawapLwnqT3FQmB4pqkwzNS8a3TDCzJE5zhyeY/eV2/mvf/IWZo7OE/oh5Zkq3/nMnazZMd57CWdLGVqVNke/fwJFVSgOFZjYtgpFkRnfLLSqtcUGD996gHa900vS27UOVl4w0p+LWElG/7Np0FeutT/8wz/kf/2v/8Vf/uVf8uY3v5nBwcEnbQB9z3vew3XXXfdCgv4fNB566CEhN9Q0Nm7c+ITLbNu2jdnZWR588MGnlaB/5zvfAWDTpk38/d//PTfddBNHjhxBlmV27tzJL/zCL/C2t73taSXfT4ZUfKqIooi5ubln/Dl4niXoj20e+Ulq0JeXlzl+/DirVq36oYOCTWuH2LR26CnXpygymq4Sx2f33/ECPC9kdqFBPmeStTQ8Lyaf11i9qo9my+GvPns3XhjhdX3sro+qCut2WZEYWzPIwkKT+lSTrqqgGyqzCw0SBB1lqdyiWrMpWDputYumKWi6guuLhEINY/S8RdcRL93SqjzGkInsJKgRlPozdJOIvjV9OE1RDS2sK6HnNF5xxXa++rkHMEwtpXRAdiiL3w0Z3zREYMGurXkyQYHvnmrghSIpEoVSkWRZBZPxzcOUDJ3ZpiO04qSNh4iHuawraKaGfabJb73tJpp1W+i/JYlaEtPfnyPyQmKgfyDLjb/1Bdr1bookBMKIbhSjWqLKbPRbbN4wyJc/dR+hH5EvChfRoOkQOKGYJcjovO5XXswdX3uUsOtjZg0kWcI3NMK2iyQl9I0WeNErd8NQlts+fY/4jtOEJ5Jj4jDCMFTe8f+8hoGJfv7upjuJgzSxT01/YknIFDRNYXT9IHOzdSqzVdyWQ2SoZPtz4jtTxaxFs+ly9IEpWtMVunMVoo7gnceWTpzLoFoaTicg0HUWbj1I1HFEYpY2MIZuQCiFKJpC4PhoOQu72iZsdViZESAWVeMkjgUWMohQDAOtmMUr15EUCVmSUVSZ0AuJg5BL33Ihxx88iW6qyJpG4rqENiSShGEJWUngBSLxXt1PZ6GKmclgZnQ0y8D3Apxml76JAbptwb3PD+YJUopJGIRIqtC7J6l5EAjaS2WmSmNJVODjKCFMk/KVSq6syPi+il23aVXbKWtenP8wWEnUpd5Uu5o2Oq4krX4Yo2iKoM0YWlq5FnKcds3v9ZTwmFmYwPEpjRR7UiMksOtdNp6/Ditr0lgWCWplrkar0iHXJ0gyEqLZtVlpEwURozuHGds4glUwOXzPMfFdpyhCWZFAEjjGOIpZmlo+yzWPRCktsIXp2Mp1HYVJT7s/fXC2dx6TBE4+LORDccr9P3N4ltJIEd3UcDoOjeVW7zqKw5jKfB0ra2JYQgLltF3Gt4yhGSq1hQae7WPmDPpHSzTKLVRVpTCYp9vq4jk+AIPjfdQXG3S7DuXZKkNrBrjo2nNpVtrsedkukCS+9pe30DdaQlEVJh+dFg6wbkC71iGOY+rLTR6+9QD7bz+MYWpsv2wL2y/bjKqpaKbgtq84gDaXW9SWGnz7M3dAHKPqGlsu3MArf+mlPRfR/tES2y/dzMO3HqRd7aTXBVzwqvMeV1X/UWLlffKfjeKyco/9t//237j//vtZXFzktttuY9u2baxatYp8Pk8ulyObzZLNZjFNYSBWLBb/rXf9P0T8JDnorVbrcb83DOMJNd+nTp0CYGho6ElJLSuNnCvL/rCIoohDhw4BQod++vRp/uRP/oTzzz+f2dlZPvCBD/CzP/uzfPOb3+Szn/3sUybpzxapuLi4yPj4+DP+HDzPEnRIX8pJ8hOTuDSbTfbv38/u3btxXZdHj87w0LH7sB2fnZtHefFFm85WvZ8kztk6Tj5rUql1GChlieKYRstl2/phxkeK3Ltvki/fegBUCb8bUKl2qCsyhibxqqt30N+X5VOfu5dDxxYYmSjSKNt0mg5BkGCYMv1rSzQdn3aliyrLjAwXqLe6SKqEFEFO1+mfKLBUbjFYzOEtdsjnLdp2yjpWBA5x9UQfThwzMpznZ996GXGccPTROb58qtGzWVcNhUzJIvAj1o6XWJ5rMnVwHqfr0/UCvDBA11WkFKWi6AqKJVOb6nBgsky7kzKpFUCRkWNQTRXFVCgfr3BmdlJwqlNHzziOSEKB3VKKFqapcuy2E7hdn0SWRGUyjIhbHrVAYN1GNwxg2QGdujDCURRFTCWHMUkQkRRkBjcN8rq3XsSZh+fwnYDiYA5JkugfLdLUFUIv4orX7eI1b7oQxVT5xucfFBraVHuv6yqxpZHLmfzZv/wGdtfnEx+95XGNhkA6AJHQDJXDJ5d45G/uZvHwPGFaZUzCGFk9++CI4pj77zlFa64mOOZxggN0ax3M/jyapiBnDebPVGmeXsZeqBK37PTTCVHXI/ICrIECWsakNJRnodxE1hQkRRFJd8ZATvXauqkhGzqrdq3m1N1HUA1NaKMliWzBollusea8deT7MkwfnKM4MUBteplQkdEtQSPpGy7SaYpGQ0VLcY6mhiTLhJHSezDGsaCxQEIcRnSbXeIowm14RH6A5oZ0Oy5JHDN/YoHKmTKB61OdUkkSKW2uFDIOJKG51i2dqQMzhE6Am17PSMLdM/AFunHld7Kq4DS7IvmMBQc9imJKw0Xa1U4viVY0WVRYyx00UxXLh3FPshV6AdtftEU4nKbrf/T2wyiqjJExzjr1thzh1GkZoqE03edOvUvghvSNmhQBK2fQqdm0EHpspLO8fEiwmzZH7j9JkLLFVU1F1VXCICT0A+TH3KUAAQAASURBVEDq6bvl1NmVdCZAloRplO8FSJKQJxGL6raW8u/F4ETgPEkr47n+DJqR8s/bHqols/bcVRz//hRREqFoCmbWxG51kRA6fFmWWZ6pQpIwtHoAI6NjWDqBF7Ljiq00y006dx1jcHU/peEiM8fm0eIkRVUmaSNoRKvaZv/th6nM1TAsXTD4Y2jXbJyOy/pz1pApZKgvNojCiKlDs3hdj8ANqMxU2XzRBvKlLHMn76Lbdrjgleey7ZLNHLzrKIoqE4Ux3VYXSZIYnujHTLnvh+89zsS2VZz/8t29+/HS11/A4EQ/kwdmkGWJdbtXs3HPc4dcjCKB3fzPpkFfeSZ88pOf7P3uX/7lX57yc/n8czMweiGeu1i9evXjfn7/+9/f05o/NlYS+R+mLV9pim42m0+6zEo0m82ecdWdd97Jvn372LNnDwA7duzgiiuuYNeuXXzuc5/jqquu4ld/9VefdF1XXXXVs+5vMAyDK6+88ll99nmXoK/EisTlqRpLfpTodrvs3buXzZs3Mzo6ype/9QB/d/NRkkRYk9/xwCkeePQM/+NXru6hE58ohgZy/PwbL+azX3mISs0WD/rxfn7ppy8ljhO+/r1DhGHE9m1j1Gs2jUYX1wvYsSnHG199HlEU89Aj05imRjZjkF0rKo2z8zVecvkGfur6y2i2Hf7p8w9yrCMc/YIwRpFlQLxw16wfRMlqZCOJJAbHEWYtcVo5kyVJGKCECZ2aw6c+ehtLS01iRaLWcmh1XWJZ4BkDJ0D2Ig587ShxGDP/wKzQZOuCz+2ECV43xMrqRIaM3PQ5PFklkmRkSyWyAwgTkigiVmWkfhPNVLBPNEjiBKtgQU7HrtoQClmKNZZnw0Vr0GsuFS8EVUZNE8kwSUhIyK7Kc+XVW3n1Nbv5s9/+JyHiSL8XaYUdDrz8Zy7kbW+5lIXZOnf84z6ilepmGrquoekqb37rZTx470m+8bf30p2tQpQQajKqoYkG2DihOJDlntuP8qVP3U19qSWSxygm6AYoK3KCJMHoz3DHlx/Gnq6mPOqYRFHAD4gCoQuXVAWjP4/fdok7jkgM5URs1wsIWl1WX7AefTBPd7mFKgGOwBUiy6JBUhbJ3eCaAbSBElHXQZEktIyBIgm5UKFoYXc9zrv+IoK2y8mHJnvcXEVXUv10jJ5awHt+RH8uKwxjFutCjw09uUWn7fTkGo/efoTWQhU35Z0blp4OqgUqL/BDSLGJ049MCioM4vjARtFUsgMFlk8vicq+rhL4EYHjna1Mi9EisixTGC5Sn6uRLWWIk4Q43afScJEwFI6h+VKGvtES3bbDwsklrLyZGksJ8kjgBlh5k1WbRrBSj4LqfJ3mcjvVtetCroOo1MdxQnWuRju9l/WsITjskSDlxGmCTjrjtzRVJklEP4Iky1gFk+pcjYXTS0LTHwpTJCNj9BoveyGBpEu4bfE9h0FIGERYskS+P0enbvckLqqu0jdUpL7UYMUR1bB0vK7PyLhImGuLTZrLLSRZYuO5a5k6NIOma8RxTK6UTbXhIaNrRhheO8iZw7NU/TqGJY5xxZRL0RTCIEj7CoRpm2npoik3TmhV2zTLbeqLDXRL58zhOZrLLUI/olUVMwW5YoZyq4asSCxOlbHrwmRocv8ZrIIlmkijNpqhcvFrzqfbcTh63wkmH51BNzUSIPBDksTFypkphlVm6fQy6193Ac1qm0N3H2X3ldt5zTteztqdE0w+Oo1hGcwen8dudTFT/bmVM1F1hcn9Z9h+yaaUuJNBURW2XryJrRdv+hHeJE8eT0ZwAfH+eb5SXFbCMAw+/OEPo2katm3T6XRot9vYtk273abT6dDpdGg2m+zdu/fHzqV+3kQiPSvKyjPeBjAzM/M4k6kfJzHlsdHtdnv/fvGLX9xLzlcik8nwK7/yK7z3ve/lYx/72A9N0L/3ve896/3o6+t71p9/XiXo/1riAqIC8UyYmU83fN9n7969jI6OsnbtWoIw4mu3HycIIkaGRLXV9UL2HZxh36EZLjpn7Q9d34vOX8/urWMcnyxj6CpbNwyjqQrNtkOt2SWXNZBliYHBHAODOWYXG5iWqDaK44zxvBDPD9E1BcftousafX0lJkZKKEi4QUi74xKlRg9R2oRZGsoRxwm1xRblmocfCpMlcVLFJmRTIpSgVbZZrjnIEjheWiGUJZw4IU4SvG6AKksk5S4rtouSLJEEMUoIsZbOfVsKubVFztkxziO3HQMZJEWmNFYg9ELsahe9ZJCfKHDZizfjLXW590QTX5ZQVRkkmdxwntCLGNk5ytvefhk7tozxsd//ihhUKFJPd06KcSyNF9ixfYyvfO5+5hcakIhKrawqYjo/TpBMjfFVffy///0fOfbQtDDViaHihvRNFCGRcB2fDdvHuOVr+/nax75L7Av5Q5KAX2kTZE1IiRyXX7ubr/7t92ktt8kVLFxdwYkSEt8n8kMUVWF4/SDqaIn2/hkkwMgbomlOkUFVyOUNxjcOIw/maSzZNM8sAwmaoYvBgyrcNa2swUt/5hIefmCK2ullZBCJqiL3RPiqphKGEa4b4FTbJF2H0PGQFFAzlkh4g5DAizh490ncpQadSgsCn6Bj48eJGCjkM9QWm4RBRG2pxfKJBcI0SRaNogmR66MaKm7bJQoijGKW2kyZoOumGmrotkSirigr1dsEWVMpjhRpLtYFXjErpBGiqquy6fz1nLj/OEZ/luJggdpCg9D1ewz80A/SmR+ZYn+OTqUlZAwZHVmS8Fwf3wvID+bQLJ2+4QIg4bttkiQRAwUvPEskUhVUSWH+5CJREKPoZ/tAQj88u2xKS0nihMkDM73nkSSBmTPoNrsEvrj3klAUDjRDxev6Zx8EcUSUklBWzI5kSxJ0GCXtt3iMQ6lIvhNKIwXRKJoIukzohVzyuvOxm13atQ6Lk8topobvBmQKGXRTI0yvP6fjYje7DEz0M7RmkLljC7RqbTRTE43OqtLDKEaRaKgtz1bptrt4jtiW2/BoLnZE020UIyF47FLaoFqeKhOnjdMAJ/ZOIsuSuBa7HqEXMLx2iCiMsBs28yeXMDPC4CzwBPNcszRw08bJOKF/VYmEhHa1w/KZCjvSWQtJkhic6Cffl+WBrz9C/6o+ojBicXIZK29hN2wa5RaZvEV9qcGBO4+gqAqFgRyve+crMSydr/z5Nzn24OnHP/OdgOlDM3z2A/9CkiSs3rqKy667kNLwj09W8WQMdHh+S1xAHLvv+7zrXe96ymWDIMCyrBcMiv4dxtNxgV1ZDkTz85PFStL9dKRMj63E79ix4wmXueACQWk6dOjQj23Au7S09JTy5yeL51WC/thYScp/HAl6FEU8/PDDZLNZtm/fjiRJLFfaNDsepnF2yt40VGzH49SZai9Bj+KY5UoHy9QoFR4/lZPPmpy7bRX3PTTJX997D4aucsn56ygVLJYrbXIZMfIMwwgJiXxWw/cDvnbHAVqeT6Nh02w7GLqErilksibn7VpNpdrhTz95G/NLTWRZptM+S2uQNRm93+DE5DL2gk3W1Okby1NdaJGEAgWJLhEXdDqOh+SKAYAkS3hhhG5oBG7E4FAeJ44oljIMZAyOVE6j6Rpu2hSHAlICxeE8iSqx7sJVDAzkecNLd/HQt48geiBF1qGZGlpOZ3jdAAMjeTK1gGP75+g6PnGa8Ou6KvSzkkS+YOE3XP7gf/wTk0cXBN88giBRhSNqFCPndCxT5hPvvxm74aXHBkSJYLFLovw6vHmY498/zdHvT4IkoWqKMFlxfWpzTYycycBokTf/18v5s9/9R+IgQtZEpT4KY4hiCELGd09w3dsvI0gSGkstjIxgM2u6iqoqOG2X3Rev442/cDlTTZtvfe5BIk/Yya/IDmRJQjU1tl2xmU0v3sz9t5+gU2unlu4rOk0Qumhw3YCv/v39lE8uEja7xGEouNhRjKTKEIsqdRxG1MsdYrtC7LiQNmp6eof+iUE6DZ+hdcM0l+p0qh1C2yHq2L22/CQI8RptVMukf90wju2TBCGKqadVeHDthGzBJE4dNwc3jKJmTKon5jBzJpIkkStlaNe7JEnMRa+9kEN3HRFElkIGjYROuZXKfzQ0QxPNqHGCLCUiWZV65fL0fMS9arzQT0dEQUDohzg42M1uCsRJ0EyNcDGi27CpnqkgqzKSKqUGOWnlJb1HVpLZ0Bf6bGwx6DEzRo++spIvq4aQlihqOmP2GJJBppDBc0SFXVNVdEvH6biYObNnhiVJEp7tUxosMLJhmMiPyBQtpg7MUF9qCjSoKZjtYSAGB2Fwliiz4s7ZbTu4XQ/fC1B1lWwxI37uCidN1/aI4xhVE4jMbtvl2P0nezIeSZaYPTqf8smjntxHSQk5rUqbVqXFiiZ/6UyFTMFE1VUCLxC9AJIq5GNyQuAJvwNVU4jCmNAPKQ7nUXSZdtUmjCOMksqOHZuYPbRIq9xmzc4JxjYMc9/NeykMFpAVBNdcUYWbpCz1zm8rdVmOo5hLXnM+1/zCVZx6eIqDdx8jW8yIwYgiE3oBcRQzeeAMtYUGURBRmasxvHoQSZZZu3OCl73tcrZespkT+6Yoz1bJ9+VoVzvUFupkS1mKQwUkWeLQvcexW12u+/9di6r9eF6lT4ZYBJHIPJ8TdEmS+Pa3v43v+73Ee6Xf418vV6/Xecc73vGT3sX/sPHvkeKy0hhaLpeF3PEJrvsVJOKTNZE+NkqlEqZp4rou/f39T7jMiiQqSRIajcazTtBnZmaYm5vD9/0f+Fu1Wn2CTzy9eN4m6CvVq+dah54kCQcOHCCOY84999xeMl7MW2iqguOe1RhHkTBF6S+JL/3g8QX+7ksPsFBuocgyF527lp+7/qJe4h3HCX/x6Tu454FTRGmyeutdR7n80k1UajbzSy00Tcb1QtavHmDDKnjgwBluve84Q8N55AQaDZtON6G/pPPG15zHOTvGufnbj7K03GJivEQ4UqBablOv2fQP5LjyZdvwkph2ucO+6TZDgzkWqm20fgslhjCMGdlsIVs5tq4d5tHF46i6StcLeucZElRFZnyiRF/JYm02y5G7ThOmNAcB007hzKnmu3ayxsytU+z77H5szydAkGLCOMZQxACgOVdn/u5JHg7CtElNItEVukGEp8rIkkx+KMu6iX6+8Jl7WFxoomZ0Ijck8gJiPySQJSRNoW9LH+FCnW7TR9IV9IxOaChE7VQaoauM7Rjkup/bzd/98Z0kJGiGaMbTLNEoqaoyb/uNl3Dly7azVG7j1O30HKR6elUhShJMQ+WDn/oFjh5d5JYv7RPkEfXsw2alCXjL7tWcmq7xnX/Zy/yBGWLbEUlnMQOySLaiGM7MNTj+N/fSnqkR+yFJFAmZTNpMCQlxDFYhQ31yCa/SFOcrSUhkhSSIIIiEAkQCLWOhZ3XsSiMFtQsiSxyEOI0Og1vGWb9rgke+c4DSUJ5KrQ4SKJpKHCciyQpCrFKWdRdu5uA39mJkDTRDOJgOjBZZOF1mfOca1py7jsN3HiU/kKOxUBeXgCos06NYzJqE3YDqYhMrZ9Eqt4jCmMhUetIi3wuIgogoTZDPHJqjU7eJw5hWuZUmamKwFniBMHYCElli5ug8kR/19OlIoOoqqqHjNG2xz7EYtAR2iDgT6Zslpf+YeQun1SXbl0FKpB433cqbPXRgHEX0j/VRnqvRXG7RlzZ+rlSeu80uq7evIlPI4nQc8n1Z5k4sCjdMTSGJ5bP4zrSxMQyFOZKZM3oJaexHeN14ZffE/+OEVqUtzlcCmqGhWxqP3n6op99O4gTN0sQ6IpEgA4SeqDgHrp+eHglFk4kDMdgZWNVPfbkpzn8QCupPzqSdSmdWmiqdtkvfSInBiX5O7J3ETu+NDXvWMX98ATdtoDYsnWalRZJAcSCPlbeIfXE+NU3H7wboOZV+q4g2IHHowaPYzS5m0SBjmii6QuQJHGPoh1QXGkRBiNv1UTQ5rdzvZ2TdENsv28zo+mFmjy0wtLqfbDHD4ullwiBi3l0ShkxxQmW2xuD4ABNbRpg6OMPJfVPsfPFWrqpdxr7vPEpzuYWiKeQH86zdMUGuJJJiM2syd2KR+ZNLrNn+7JrAnir+M1fQZVnm5S9/OXAWN/lYuerKvyVJor+/nw9/+MP/Jvv5Qjw3ccEFFwhTtiDg1KlTbN68+QeWOXr0KAAXXfTURmCKonDOOefwwAMPsLS09ITLrPxekiRKpdIz3ue77rqLd77znb1m1Oc6nlcJ+r++eX8cqMXjx4/TbDa59NJLH/fgzGUNrrhwHd+84yiNloOqyDhewOhQgUvPW0el3uFjf3sn9WaXQs4kjGJu//4JAH79bVcAcOjYPPc+NIlhaMK0JklotBweeXSGX3jrpTyw/wz1lsPOTaO8/PKt7HvoXvYfnSeKEwb6shhagpUFP1RYv2aQ17/yHAAWl1o9Goiuy4yN92HlDFRN4effeDGSJPHVb+znwXtOY9u+YGRLouFRBjRNAV2hUbbpOgG27YGSyhjiGAnI5AzaHQevbHN0eRI/iMATuEUkkaNjKnhhhNrxWDrtQIRwLIwTZBliIrwwJlBk8kUTe1I0eQn3TAlikKKYRJGJE+gbL/CGN19I0g2oV200SyOT0clkRVNd4IUMbRjg/CvGGRhIuOPzaVVcFa6KmmUgyQqJIrH7tWv4pZ++ghNHF4TkIDmLOOs1ESoSO84f4zOfupNH7jqZGt0kPefOlZJBrpThr/7iNh788sP4NZskigmaHcKBPGYhg2v75PImlabD3i/uo3lijtgPheQG8LwAOWuhGipawQIkvKUmqiITZTQiTxbNnEGIJCfImkJuqICat2hOLgsGtixDFCNZOgQ6hcEsXhTRN9RH1w3xau0e5k9OmxM1TUGSYWjDCL7ji2qsoYoZCFlGUWSSJBLrRqAClyeXRcLnBgR+iGJo1CodfDdg/nSFZq1LbWqJ5ROi6u07AZ7tIasKHWyCVJoye2wBu9IQkqP0fK8k3ZEfEaZUGzNrUZmtEKfNsytusCuJdhRGKfJQJT+QE8mVrqQkFrEOVVMpDmQJHI9CyioPg4DydEXcJ5IwB5IVqTfjIMsymqahaEIO5TsCCWjlTXL9OTzbJwxjfDdAQrC8kyhB4GREr8PSmSokFZIooawroudBlug2u4JGlFb/ZVnIqLptF0CQTXSVXNGi3vUeO4QQx25qPXwjCImLrKQzD7qKoimCL17vsvG8tRy+7wQ85rG4IuUpDReJwohsUTRYyorMnmt20207HLn3uJj1uWobh+89IQyoFBkja4jBUhzTqdtMbF3F8JpBluKYwYkBsoUMXtdPWfMxbtdLEYoJrYogArm2RxRGLJxYJnRD3K6HqquYmsn4ujGWT9YoT9Xomyhi5HTqjSZJAt7Ucg/H2Cy3GBjrY+slG4mjmDv+8T7W7prg+t+6lq987Nssnl5Gt3TGNo3QrLQZXTdEu26LPpsoZuboHKu3j6ObGgunl9h91XYuuvY8dr14G526TafZ5at/cQu6ebZRTNVV3I7HI7ce5OCdRymNFNhy4UYGJ564Wvds4qk06M/nBB3ODlCebBZhJU6ePMlb3vIWHnnkkR9r39nzJtKeoh/7Np5BDA8Pc9VVV/G9732PW2+99QcS9GPHjjE7O0s+n+dVr3rV01rnddddxwMPPMD+/fuf8O8rifW55577jKvnBw8e5JWvfCWWZXH55Zdz7733cuGFF/akNXNzc5w6dQpN03jRi170jNa9Es+rBP1fx3ONWjxz5gyzs7NccsklT9jo8NPXnkO9usz0cozjBlx63jre+voLKORMvnH7YRqtLkP9OeRUE02S8OD+aZqvv4Bi3uLUVIUoEg1hIBLDbEan2XYZGyzy7l98KQAd26PdcVmZXgZwPQ/bthkdHWC5YlNbavNXn7qTTFbnzGKdasPGC0P6ixnyWYOu47Nz7SokSeKOe49zy11H6To+HdtD04ULZRAmFAczdJMYf6ZFo1Mn0UTVibS6GUUg6QqtKMSMoLLYQlGE8VDU8ZHSyje6jDacpX8kR/3QMrqmEkoxIBL0JIwxciayoZBfX2Bc1jk23SCWJaRkRU8uEhizP8PAtkGue8P5XHPpVm76+K0EYSSS7fThbGQNZF1l14s2MmDa3HPzDMuLbeIwIgwkdCM1OIpiZEsnn9H59Efv4fj+WYIUMRelTPY4dZAcXFPgxg98mcVHyqlhkXC/jP0I5DhNxCQ2v2ijSM6rwhwnlmSSIKJbaROGMfn+HFe+/hwOHZqnu1QnCYX7ZAKp9CbBUGDH1dvxNJWFQ/PEYYye1YUUSI1Rcga5rM7L33IxJxdatBZbVKerKVpPIZFAVlQUVSYxVLLrRwTNJgC30hHyF0RytoIjdN2IJIEj951Acjy61SadpRrIEkkUEQTimoyCSDQ8+iFnHjpB7AqZDGnCH9gaqq6iZQxq08uishsn+G2nN4iJwwiv3UU1dfrXj9BZFE6SVl7wuZ22i2Yo9I33U55aFgn3UIHBsT6mHp1CtTRyfVncjpBrKYrM6h0TnN4/hazKbD5vA/XFOs2yQP5phtgn4oQoEmhF0uPutDppY+7ZN0qcml6RymXiOKZdaxPHSUpticgUMzSWm1Tn64J5LkvCwTVOxH6lIUmCq+2khCJJkvAcH1VXsfKCbb6CMQTS5uFINPQizLDiMCIMY8Y2jFCeqfaaUiWZdKbnbMNzEif4TkDfSJH+sT6sdAagXRWJpgQYWYM4jHqSljiM8RwPTdewcgatnrFSk1a1g27peI7P4tSyIKJ4IZIi4btBj5xlN7s8cutB4nR2Z/H0MtWFOokEUSCS81xJYCJ9RyAiW9WOSN7jhOpsneJgnmwpg9v2qC+12HLRJi581Xnsu2U/naUORk5nbP0IjXILzVTRLU2sI4qxbRsnsLGyFkuzZQ4/dIwNO9bytv/1RlrVNgCT+8/w3b+7i/EtY8wenae+3EJP+wBmjsyxPF0h25fB6YjG0pX/CoN5+oaLVGarjG0cQZIkFk8vUVtscGLvaQr9eU7vn+b0/mle8V9fwvCawWf2cnmS+GESl+d7BR3oEba+/OUvMz09TRiGFAqFx2EWS6XS46qkP2xQ80L8+473v//9fO973+PjH/84v/zLv/w4efKNN94IwO/+7u8+Lpnet28fb3/729m5cyf/8A//8LjP/Nqv/Ro33ngje/fu5b777uOyyy7r/c3zPD7xiU8AwqX0mcYHP/hBzj//fG655RYymQz5fJ7Pfe5zbNiw4XH7dv311z+tPooniudlgr6SpD2XFfTl5WWOHTvGhRdeSC6Xe8JlTEPn4h19vOddLxf6TvXsQ8JxVyQhZ5dXVQU/iHC8gGLeEhQIP6TW6GIaGhlLIwgiNFWmWLAIgogvfGUvd9x7HN+PUOSACy/YQJLELCxWGRnup2MHLJ2qISewOFXD9UJQQMmoNJoOrZZLNqMz1Jfj2pftZHahwZe+sZ8kSdiwZYTZqQquK/Sa2ZLB4IY+HLtF0A0olTI0ui6mnBB1Q6Igon+8SFhQ2bVrnKWDS9iaghdFSLqMPmgSuTH5vgyljf1s2zTC+RvG+Itj3ySRJIJAJFekUlLTUjH6M0xsGiQ5XCcIY9HIiiQUMul5k1TB1n7w64f4zPu/htP1iRJAUwijmFxGx3MCzKLF8uFpbrv1dI8sAsKy3Q1FIxsSrNoyyOL+CtOH62iGSm4wR2dRaPDDNKEqDOd586+8jL+44Yup7EWFjIbfkcDxQUowCwYvev1W5poOfuoCKWsKMhBKQJSwffc4P/d7r2Z2vsUD954Wxk5JgiTLSAmCWpOIvtaRnePsvf2YwA2GUU9fLcsSmiojqyrLlS5Tj85Sm64Q1tvEtkMoy6h5iwRBE4r8iPpim065ReL4EMckUUQSC1OgJNXax36IOVjEr7UI2l2RzAYJxILnjRT3kIKKoaFlTbxKSgSRRQNj6AVoqsKmK7axcGQO3VDRSxnsSpNIEnR7zRC23aEfkSllyQ8WsBdqWHmTJIHCUAFF1/C7Hmt2rUWzDKIwxsgYeJ6goJCIRs44EcfgxwmBKyQqcRQzc3w+tbIX1Vrf9UWDYjpebFfbeF0fd7r8OJpPEidn69PpBRcFkXAOTZPoKIjQDKGDXpGUkIhKbpSEvZmXXkgSnhOgmxpm1iSOImRFERb2msLmCzZQPlNBkiTyAzkWJ5eRZYVsnyUGXJpCu9bBaTuMrB1EN0eQFQVJTpg/tUzohcjyWWMmSZZIvIT6YlNwxBMo9OeQFInGUlNIiCK/d4jxyiDf9vBsD6ftCHdGVeHR248ICVAUi2bpuQaZQoZWtUXkR0T+2eer5/hIgG7qKJpAMPaNFBldP8TUozOEQSSaPQ2VTNGi2+qimTqZfA676RBHMfmBHGbWoC41cW2P2kKdVZtG2fPyc6gsVBjZMoCOxb5bDrBu1wSBHxI4s0iShO8FJL5Moy3oMN/89K09t9a154xz0WvORc6L6Ty75VAaKdKstqktCjrUo3ccFijJeyGJvs51v3kt2VSeaFg6L7r+Ir73ubs5c3guPV8O2aLFpj3re/r/6cOzHL7n+HOaoD9RshmGIb7vP+8pLnNzc7zzne/k5ptvfspld+3a9RPYo+dH/CQ56M8krrrqKv74j/+Y3/u93+P666/nAx/4ALlcjk9/+tPcdNNNvPrVr+Y973nP4z7z6U9/miNHjnDkyBFuuOGGXuMnQH9/P1/4whd47Wtfy0/91E/xZ3/2Z1xyySXMzs7yvve9j9nZWX7zN3+Tt7/97c94X++8804+9alP/dB78Pzzz+cjH/kIH/3oR7n++uuf8Taelwn6SjxXLPQV1vmuXbvo6+t70uVWBgSSxOOSc6BHZel0fXIZnSSBVsdlw5pBhvvzHD65yLfvOUoYRXheQKfro7VlDF3lZVdsZaAvyxe//jBf/85BDF3BMFQqtS733T/F+IRJ1TapNl2cmgNRwsBADj+McMMQooRixsTqMymXO2TzBu/8xavYsXWM7955FLvrMT5WQpIkiiWLSlnoWW9496swLI1vfeMO7pqvYJk6lU4X1dSEq2HbY+2OERwtYdV4iemHZrG7PkESEYQRlqkjKaBZQhogRXDXHcdot12RbKbSipVmxxAwJTjxtRO4ta6QtySk+pg0tzJUpIyKfazC3tlmmsCnMvcoxk+g4QRk8yYbt/az/+aDIjlPOdBEMZIfkqgyRt5g9xUbed2bdvOh3/4isqpgpbMX2pp+mstt8n0ZrnnjHl7/lou57buHif0QRVd7CZ2Zt/BkmUteuZNrfvYC7r//FHOPHhbJnEyPb02q1feSkM/+/X1M7Z2heaZGlGqBRfVWOluxlSTu++I+mpNl4o6oPAftLnohi2ZpxJHALp4+NE9npoo/XxUNn2myFTkeaj6DZunoWZNMVsOeC5B1oXdOotRsKIqQEbunF7MMbRhhdt8p1FQaQZyg6Qpe16MwXEQiodv2GNo4xvKpedFEmREsayNnCsOgOEbLmkRBiK5rQpsfRL1+hSiMUTQVSYro1js4ja6g1riiobFZaePZHkkUMXV4lvZiHc/20HQVSZV710Wn3mHlwpBVhenDMwSpNMdreykdRsxMRH7Uc8fUDJ1Oo9uT0UiJJCrieQunI67NlaplYTBHu2YLTKqWOroiquhRGGPmTYqDBQIvQNVU5o4vQAJGeo8DZ/XbhtrrjRFNpIngiNuOILbIwiFUURXcjovdFP4DvVbYOGFxqkIcRUSBmHXRMip2xSGJ0wZWxCyOaFqOaC63iOOE+lJTIBVdX1xmyWPuqfQ+jMOVWbG413BpFSwyWQsrb1Gdq6HIMrtfvI0Ddx+lvtAQ954s9Sg2RtZgaPUAnuPTSLe94dx1hF5EZbaGbmlsuWgDR+47gWZoZHIWcWqglMQJ7VqH4lChN7hanq4wc3SexlITM6+DCpZu0W13mT0+z/jmVWQKGWrzdSDh9N5p4WgbxQR2yO6rtiOrMPPwIpZlsfnFaymuz3H6kdOpiZRwWU4QbPaxjSNk8hanH5nmwJ1HuPT1Z1/2G89by8CqEjNH5onjmMlHz7A4WX4cqjVXzFKeffZNYf86nixBt22h8X8+V9Db7TYf/OAH+fa3v80f/dEfMTk5yc0338zb3vY2bNum1WqxsLDA0aNHWV5eZvfu3U+90hfi3328973vZc+ePdx444287GUvIwgCtmzZwkc/+lHe+c53/sD98OY3v5kvfOEL7Nixg507d/7A+q6++mr279/PBz/4Qd797nezvLxMPp/n4osv5uabb+Z1r3vds9rPcrnM1q1bez/Lsozruj+w3J49e55UYvNU8bxK0Fdefisvn+eigu44Dvv27WPTpk09F6sni5UL54mm2HakuvHv3nOMck08XPuLGX7++ouQJPiXb+2nbXts2jLC0mKLTssljGIuPWc1v/S2FxHHCd+7+ziqIlNIG7MKWY1m22WwMMRv/vKVLFfb/MPf389kKxCkkNR8RJIlOk2X7edP0D8kEveMpVOrdag2bDqOTy3VxmuqQiZn4HZ97r/7JM1ml8MnqtSbXVptDz2jEsYRxIlwKdQV3FaXu799lKVyC9tOL1BFotv1UZCQMypymLD/nlM06l0STSZxQyAhiVJcqqUi5zW8pQ5B2wNNQcoZYPsQCy27pCuYG/q46Py1PPjlR4UuXFMEei5talNzOgPr+3nTG8/lke/uI4noGcBIkgSJqHTlRgv89h9ex6Z1g3z3u4/iexGSLJPEQjYgqzKKqbFmxxivuG4Pf/vXd7Lve0eJU/MZWTXFoCIUiaeeN/jMx+9i6eA8QYrNS8KYRF6R0iQoisRS06b9zUWihpNWpWVhuBREIAksnSxL6H15nPk6SddJ0X1AGBE0OmSy/YyuG0Tvz7N8YpHE80g8L2VryyRpX4AUhay5YCuOF9OerQg5hKWjKbLYhiqT689hjJbQJInybJ04EJV1JTXgiZIYxdRJuj5SLsfwugFm9k9jNzpnE7pUHuK7gtkOEsfuPkrctglsV3xHqkzgieR2pSmRJCGKYpZOzBGlWM/QC5BtF0lVyJSydGsdvK6HZihEYUTQOYvgisOz1J+RDSMsTy6jWxqSmjY5xgm5vhxRGNKudlA0leHVA8iqzNyJRcycgYSErMpEvkh4i8MFIj8k358XWELHp1luoxlaig2UUi57iJIScipz1V4FO04RpmFw1oNBPA9kvK6P1/XONqJKEhowf2L57PQQCcWhAt2283j8ogTZotWrbktIxG6AiUFhIEe71kkl+xJREAv5T3ovyopongyDCMvUWLtrgoWTS6JRNzUkKg3lqS02kVVxPeqWht1w0AyN8c1jqJpCp9Yh8EKQJZy2g6wIepCqq+n3LrjjRkZf2WU8x6N8porv+gR+gGaoTB+cpdt0CLyQruT03FG9rke37TJ9aFYQd6KYbtvBzJqQJDSWPcy8wZ7XnUO71mH26AIkC6i6gqoreI4gtBQGcriOTxhEzB1bYM81u9E0g+aMzfYtOzj3/5zHgbsOM3noDJIKR+87QavWITts0Ow26AYd3MBh/70HyY1aGJrB6q0TmBmD0nCxh1WMwoiZlHSzUkG3W13W7X68McuPEk9Gs1hB0T0fE/SV+2b//v3cdddd/Pmf/zm/8iu/wm233cbevXv5yEc+0lvW933+5E/+hHvuuacnV3hB3vI048etQf8R4tprr+Xaa699WsteddVVlMvlH7rMli1b+MxnPvMc7NnZGBoaehxrvVgscvjw4R9AOh4/fvxxyz2TeF4l6P86flQNehAEPPTQQ4yMjLBu3bqntT144qqHLEv83PUXc/G5azl6agnL1Lj4nLUM9GXpdD1mFurkcwamqbN23SBxnLCw3GT9+iFMQxOmKo5PTEwYRaiK0huIZHNFVg0X6S9mkCRwXZ9Gi545UhzHGIZBkiRUKh3cissH/vBmul5Aokk4QUjbdslkDUb78zRqNt6yzZdOVvG8gDCMUQwFX0vwGqJSFygS+ZEs3SQkWHIIuyFKQUd2PRI3hggkTUIq6ExsGiTjwiGngqzLZAazJF6I03TRNAV90GJojckrXnI+X/yre4h0lSSMwNCQDJWoG2AOZRnYOsjuF69ntJ7w/RSxuNLsIisScZigWSoTO4aZOzPFiWNt0f0PEEtIj3nPmTkDu27z2//ry9TnRHNiIss04oRCMUPgBkgS7Nqzhj969+c58+Ck0FmnlX8vipF1lSROKPRnaccRCw/PQhxjZHS8JCFpO8R+ipdTZVbvXEUzTEhavsAoqgpBEBKTQBCgyBJGTie3bhDPjQnmusiyjKwKXXMSx6iyxI6L17Pxss08dPsxAi8gTok6IkkQ1WQ5rYg2Wi5+WyRHcSSqsaROu2EY0mm52FKH9kINr2kjxzGR75NEEZGqolkaTtshjhPstsOxOw4ROT5tzurXQy8QzOyUGa/mLfx6k6jrAwlxFLFSrxWDIKGzlxSZ4rDgnSOl9JBQyCmMrMmGCzYwtfcU+f4cVs7EbnZFYo+QlYRBRBKL5EgzdbENSUI1VGRDIUliAs9n1eYxZEWhNFpEUVXqC3XiOEl15xC7Qc/dM5O3iBNo1zvIijiPK0Y/K+STRNhwYmQN7Hq3dx9KqcwnjgWVRPDgxSDGKpqicfQxL0VFU3ps9xXtTRzF2A3xvT+uuJCA5wRkCpaQYQC+6+N1fQYnBugfK9GstInCGM/2yJYyBJ5gniOJ/Xc7Lt1ml+JggdXbViHLMnMnFykO5akvNsVGElLDIzHA6NQ6zB9fxMjqYuDhh5zcN4nvBCnmlN55AYTL66klkiQRTq1Nh8P3HEtNz2Ja1Q6aoTK4eoClyXI6g+Ahp7MdvuOLmRdDI/DF9zIw3i+cZW2H5nKHZqXFBa88t1flL40UWbtzNVMHzjC+ZYxus8v8qWV0U6VZaeF0XCQJ2rUOd3zhPrrNLoNrBnjxdZcyvGaQL/nf4PC9x1m9ehVhKNjb1ckmpx85w5mjc4SBYOaf/5pdrN+9pqd9XrNznJP7pjhzeBarkMG1XQoDebZf9oP0iWcbP6yCruv6j8Xj4986VhL006dPo6oqb3vb2wCYnJxESd97YSjQorqu8z//5//kd37nd/jDP/xDPvzhDz/poOaFeCGey9i0aRP//M//zPve9z5ANJr+/u//PpdeeikTExMATE1N8Tu/8zusXbv2WW3jeXd3P1cV9DiOefjhh8lkMmzbtu1pdYWvPBSebJuyLLFj0yg7No0+7vemrpKxdJpth/xjCiKSJFFInezufXgK2/Np1h2abRfTUFDlBE1T2bFlFN8P+dhf387UQp0wimk1HcF2RiJOQCvpTM3VqE43kCPI5gwcLyC2YzJ5A8lSsG2f+bBFPhTT1ZmMjheEKKpEEsaMjBVxUurBi6/cwpZdY2iJxD8dfxCrYFBftskP51AlBbvhsHnPBHFR5RVX7uSOLz0KSAQpes7IGiSKjJnRGd45zFjBR/IibNvDDyIiRMKkyDKSqghpi6GwtH+J++47g5cmpcgSCRKSkAOjZDSapxd45P5FQjdcUceQxDHxSjJvaFz04s3c9P6baVfttLKeIIUhURtaUYKuq+y8YB35gtlLziUlFcyHMXg+atZg7dZR/ss7X8pff/xWkjDCyBlIkkSmmMGRJeQw5vJX7uDil23ndLnNtz5zDyQxiiZMaFRNJc5K6IrFpT9zEQ3X5/SjC3SXaymm7/GIsShJOH54juNTdZqzVeKOQ+J4QgMdp06hSSIaHIH6mVpPm06S0O10sfoKGIaKY/usXjdCbb5G0HYI7W5vuSgIifAgMUmQBe+87UAYo1lGCtKNCaJYQF0EyJ7cYB6jr0BzehEzZxLHMZm8hd0U53l82zhzR+eQVZVsX54kDFJph4SsqGimQuB4RH4gaC5pwqiospADpUqgs9IPCX9FThGJxD9qi8EMsRgQLE6X6dZsOrWOkIWkTZWuvWKsJA5HUWUc2yVIGx9XZp90S8N3AiRFSFCSGFRNwXfELEDvmRMnourfPFstkRShye52XHE/ynKvchVHMVEQMbxuiNAPhSur69NYFJhM3dJWNCg986HYEjMDK5SZJEmoLzYoDuSRFZlcKUtXV+g0bDGjkcqBVrjsSQJ206aSyjAUTdyrgRuI2aBQ3J9aOoMSx4lo9EyPU1YkqvM1MbhINfgJQq8eJ0Kn3m06YnYrTeiNUpb+0SKu7dGstJFVhZ2XbyEMQhpLTUIvpG+0iKTI1ObrDK0ewLAMFqcEIajb7NI3WsTudImjmOpcjcZyk8APGRzvpzRcYOH0Ep26je/6WHkLVZPx/v/s/Xe8bGlZ5o1/n5Ur1857n5xj55ybpokNooDIgEhoGQMqvOLIIP4ccVSUccDwU0cEHCU5SJAcOgcaOvfp7pPzOTunyrXyWs/7x7OqzjlANw00zEy/5/588Nh7V1h71aqq67mf6/5enprv2P2t/SxP1UFAc6nFmq0rmT40x8k9U9z0Ky/g3Ou2c2TXCaYPzSs2f61N5MaUh0usP3cNmiaYOTLP4XtOsmbLKmphjcnJSXzfp7IjR+xU8GoBazZNsPPqbYysGfqB3xXPtNQs0/d+TT+XCS697+9ms8nAwEDf43u6594wjOxzLsFxHKrVKocPHz7j/mfrqev/VA/6/031spe9jPe85z14nsef/dmf8eY3v5nXvOY1bN68uW992b9/P1EU9UX8D1vPSYHeqx/Vg95jncdxzEUXXfSMV+NCCJrdmA9/+n4On6wxMlTkJddt59Jz1zzt/QxD5wVXb+XTX3mUxVoH2zRod32GB4tcccE6Dh5b4H99+RFyBZvAi/H9kFYYY1s6l543wZWXbuChx07w5L4ZRkfLVEoOi3MtfC/Cdkyufd5mcoM5unWP5pEmg8MF/IwpbduKqLDz/BX4UUwQxzSfWMRxDOXMlFk6Yqw6jlt2jFNvuLz4hh2U8zZ7Ds7S7vjEcYgmNISmoxs6uq3u3zhU4/MH7mNquk675YOlgSYI4xgtkpSGC9iGxok9dR6+6368IFbcbg1STZCmCcLQ0Eom1Hz2HZwmilT6ZxrFEPdsMgJ7pMCGrQMcvO2YIrDkTNA0kq7f71zqjslLb76akaJNp6bwdrqhKRGcKJE5umGQN958HdsuXM1f/t7nIE0Runbq2jI0ZCL5mTdeyTUvP58HHzpKa7mbdetl38Kg6RpOwebyl57Pow8f58kHjuAutEmDOBt0VSExQkIqBPufnKE726Iz38zEqOxTP5RYVbsBXjcgmm8StzxkIvsJkiQpaca17HnKjTQmcjNbiIA0SvCWm+SKNoMrh6iOFpk9OEN5MMfiwlI2ZKi265GQBBEDm1cyvnUlB+98EjNLuIyihOJggeZck5FN4wyMVZg7PE915SBLxxeUkBWQJJI4SRG6TuxHaI7N8NoxWgtN4jhBZpYasoVI4iWkcYpIUk4+OYnX9oijGL/l9rnoSEUd6YX7SKA1XyeJE5JeAK4mFJpwqIBbd9VrnA1ydhtu/+8DkInyfQ+tHKQ2U8cpOeo1lClJlDIwVqE2W+/7tSvVPHbeYuHEEk7RwbAN9TrIlNALyZVzlKoFui0X0zZxChZzRxbQTQPD0vvd+sANSZKU5Zma4qsLde3oukaUxMSnDWAKTSATidvyFJknG1hVPPCEhZPLIGV2/DksW3209zrhcagew3JMmkvt/qyDEauO5Nj6EeaPL6mFbKIGbp2iTehF6poW4BRsZTeyDNadu5qTe2doL3f64n149SC12TqgYeesPlYxDiNG1gyxcGIZw/TwO+r9WBkuE3oRpcEChUqek/tm1HyCoWMXLAxDYVkDLyQOYzq1LkmUsu/+Q8gU4jCitdTmkhefz44rtjJ7ZIHju6fYeME6SoNFZg7Pk8QJoR+qz4skpTZdZ2LdKGt2rOTE3in2P3iYq195KS/71Rt58Gu7aC40GVk9TJpIVmwex8kyKlZvXcHMoTms2GHtjlUYtomUihzTuajTj6GfXp7kxN3HyOVyFAoFisViv+Oey+V+6M5ukiTflxj2f5JAf/TRR7nssstIkoQ777yT5z3veT/W452eBl4oFPq0GsMwaDQaHDx4kK1bt/ZvFwQBjz32GKOjo8BZgX62fjJ1880389d//df9cKPXve51HDlypL/D9epXv5q3ve1t/P3f/z1PPPFE/3433XQT73nPe36k53zOCfTT60ftoB86dIh6vc6VV175Q20hLtU7fOneOdwAbMtgZr7JvsNz/MYbruXqizc87X1fet12NCG47dsH6LohF+xcxatfdD4jQ0XuuP8gXS9k1USVwWqOubkacSJwbI3X/dw5WKbB8ckaMk2xbQPbNihVcrQyjvJb33ANpaLD3fce4IF7Dit2eW8dowlkDKTgFCySpsLLuW4AukacqE5pL7q70XRJvZi/++AtzMw0COOYWCissuWYJEmIG6fowKE7j5AGCfNSZqQMoewcQhBlkenDa6qMOjmOzHlIw6K8okx3vk0cJGhSgClYe94KLr9uM/f82y6FrCs76JUcXtMl6IYYOYPtF6/jJa/azsN3PamsHIZAaBpaXic1BAQxuVUV/uPvv5gLN63kQ3/6degl0fRORca9XrNpHGsgx/v/5Msc3XVSiZl+Bz37AhCKJvPXf/IVZp6cJGz7yCjFixLMSk6J5kQyMlHlntv38cQde/Fmlvu888gPiPOOGjgVAmcgj7/UxV9qYegammMSpYkixMSJ2kXQNXKDJTTbIlhQbOwUkSWGOsgwVH+OppEbKmGU83SOLfTxf0glfkglw6sHMQcqeNk1ErtB1nEW/c6pEoUpfidgeXpZXTe6IPAjhK7hu0o4Lc+16LZDOrN16lNLGJayn8RxgmkpoRb5EQiYP75Id7GJjLOhRqF8zD32fpom/XCg1kKDOFRzFF5HHWdvlqAn6oUQ2EWHoOP32f1KvEucgs2KDWMce/wEuXJOHVcYU5uuIVC3VX5u9Zq6bZ80kRiGnvm5NSChU++Qr+QpDhaJ/QgrZ1KfVyzuJEmJWv4pXKWUIA21Y6BpSJlSX1CJqEmUZAmbSvyr95RO0A3PsMmUh4o05luZMBb96003lQ//dOGuGVo2FKqf6loHMeWhAkIIatkgJ6hrOAoickXF2E9jtaD0Wj6arrHxgrXU5ho05pt97/mJPVM4BYs0JVsYgNv2aSy02HzxeiYPzNCcb7Jm5yqWpxukiUQ3RJ8vDhC4IfPHF9F0nSSKCGTK43fswW15BH6I2/YYGK9QGihQDyNqcw0sx6Q4WMA94eO2XE62XMWkT1O6DY/V2yYyxCMc2XWcK3/2Ei55yfk88s0nWJxcolDJs3r7CpqLbVZuGVdEGzcgCmMm98+wcssETt5mcv80T9xVIElSnv+GqxleOURzqcWn/+yLp80FAELgdQK+9bkH+dZnHyRXznHeddvZftXmM2LHpZSEYUinc0q0Ly8v94c68/l8X7D3/rVt+yl3aJ8Ks9jtdn8ogss3vvGNPm4uCAK2bt3KzTffzNve9rYfyw4SxzE333zzs543Aiot8uTJk/zDP/wDv/M7v8OGDRtotVq8733v413vehe2beM4Dp/61Ke44447+JM/+ROApzyXZ+ts/Tj1L//yL7z//e/vC/RVq1b15x569bd/+7e85S1v4e677yZNUy677DKuu+66H/k5n/MC/Yf1oE9OTjI5OfmUrPOnqzu/c4hWN2J0sIxpqVO7VOvy77c8wVUXrX/aDw5d17jpeTt48XXbiOMU2zr10kRZGEuSJHS7bVasGMANJFHgIWVKEMbMLjZpdnzCNKVSdKiUcsRxSqWcw7FNjk8u882796mgIbeBbRsqkt2LsG2DSJcsTNYJ5lwimRJl6ZNoQmH2hKQZRVjdiMaUwpIFkRqYJJWUBvL4cQJhysBwAX+6RZhI0DPUXyIRKeSKDlGcMLCyTHlthV96zRV883OPKZ44EsM2GFg7QKfmkivYrLx4BW99zZU05lp8oxsonGKUoNkmuWoeDIPB9YNc/7LtHNp/hKOHfaIwIQUQmbDVBNLQKa+q0p3v8gd//b+YP7qQpW0m6jEzn67QNXaet5K/ec+/055p9PGMMpWkMukZr8mVHI5P1Tn57UPISOH9SCV4ATFg5m2GJipc94rz+fq/PYw3vdwXpVKiBl89n/LoCOsuWEM9Tll8chqZglUwlV3F0MGxGR0vseOKDUwtu9TmOnRnaxkGT3G9dctEOBZCyzN+4ToaSy5JxyfqeJn/WyIyRGOaSmSScmLfDOTr4PnEbY+e80LLBh9FZi+RqcRvuszVOySuR5SmCMOgMFTCq3cxHfU6dKaWSOME0hSv3urTZMLYJ/IDNFOnvHKEsN5G1wRaXgVleS1PDfmZBqGnFhhm3mFs/QjT+2bQTYN8ySEKY2WXyNuUhkrMH5vHMAwGVwzSbbkE2WtoWAYxMUJTQ5m9wCXTMgm8UA0f9sRwpsBSqXYxklidK6/rq92U7JowTAMpYPbwHLquqQFiQyW4hl6GK8xsN5Ztqqj7IM4EnsCwdKycSeCGSgwJspmInjA6RWpBKutNvpzrL0o0TXXM7bxF4GaLMESf555ECZXhsjoGqRjs7aUuYRChm5rys2eDvD3kZJp590GJSq/jE7ghds6iOlomCmPmjy+ovyWM0DQVSqQbGkmS0lhosTxdzw5aMHN4jihIQEriSH1eOQX1ugFMH5zLhp0lQij/erFawHRM/K5PruCw85ptPHn3XuaPLzJ/fJFcKcfQygG6jS6lwSJxmtBZ7iDQiMMEy7HQdIHX9qnNNTAdk80Xb+CKn72IdTtX89DXd/HAVx5jYKxK6EV9rGW35XL4sWOc2DNFvpJn8eQypmVi5y0uuHEn5z//HFZsHOPo4yeZ2DSGpmtM7Z+hudgiX3IYWjlIY77JHZ/8FkIT7LhqS/+zWgiBbdvYts3Q0Cmri5QSz/P6wr1HIHFdF8MwzhDsvX9N03xKD7rrus9YoL///e/n3e9+Ny9/+cu59dZbKZVKfPSjH+W3fuu3uOWWW/j85z//I3vZ3//+93Ps2DGq1SqNRuNHeozTK03Tvof84osvZmxsjD/4gz/goosu4sYbb+SKK67g4x//OHfccQfbt2/n6NGjHD16lAsuuKDfuT/rP38Gldk9f+LP8RwqKSWXX345N998M29+85v7PvPvrosvvvgM1OOPU89Jgd77AjYMgyAIfsCtT9Xi4iL79+/n4osvfkrW+dPV7GKr72ntleMYLCy3iZMU09Dxg4gn9s/Q9UI2rxth1Xj1jMfQNY1H905y+z37qTVcztk2wapVgxi6xtz8MtVKHk036XTb7NwwAEg+/sWH2H1sHgk0mx7tTkC94ZLPWbzgum1IKfnoJ7/N7EKLkYkyS3MtfD9C0wS2YzK8bgBd19DbMaamURovM5ckpJ4axDFzBrmxPKWxEqvyJRqTDXJ5Cy/M/OmJQEsk51y4hmbL442vvIT//x9/FT1n0XFDJfY0CQlYlo5RcVi1bZTiaJ65k3X2H56j6yYIG6I0Je8oEodeMMkZBp/5x3t4fNdJOnVPoRlNjThNMTVlW6gO5XnsO7vZ9Z1FAjfKhDekMiGM1QJCzxlcdc1mPv8P36JVdzEtk1gPFWlFKkEhNI0Lrt/Cif1ztKdVkqJmGSQSUtfvN9xzpRy//Ec/y8f+7k6FXewtAjImt07KL73jRsY2j3L06BLNmTpppIJdhFDBSykpmhBc/YoLaQqNw986pIbllP5XHWyhqCv5gRKR7bA8PcvyZI243UVGMegq3TNNJJpUVp9uzac7XSNqucgk6YtsNHnKv52kCFMjrDWIOypkqPee6WEhFRoxxrBNrLyFt1BXByZAJgndxQZWqcjaizcxe2Aaw9AoVcs0Zpb7YlNop7CRw+sn0BwLd76OmbdJogS7nFe7NH7Eliu3MXtoFokkVy3itV3lcRZCLbgynrnf8RnfME6hUlBDgmlKEib9wc04VCFKJDFpLJg7vkgcJixP11SHOfNi9yw1fZsLkshTxKDIi/rdecPSyZUc/I6PYeoIRCZ2lRf9DFyhJrDyBn4nojhY7HeQe13z8lAJt+UiU0murAa63ZavbhulajgzjAm8kMEVVSzHJMw69jKVdJsemhDZ36AWF3Gibt+ud9TAaWZBCrohURBlyM6eHUZZr6IoVgviJMWyTDRdo7XYzs6x4q5bjkkubysblkyJ44S46Sq7lSboNpTP3jDVALNu6mw4bw3H90wRuAFJnOJnaMw0TYmjBEM30HMaYTdEE4KNF6xl+tAcAN2mi6YJLnnJ+ez99kF0Q2dk9RAn900TeiGja4Zp1Jq4DQ9N0+g0uoyuHWHhxCIylTx+5x68tk++nGP28ErOv34nKzePI4RKvK2OlWkttVmcWkZogj3fOkAcJXgtHydnc+ELzsFt++y+Zz/rzlnN9f/hKsIgZu7oQn/QtzpSZv15axGaoDICc0cX2P2t/Wy/cvMP7NoKIcjn898jqpMkwXXdvnBfWlri+PHjhGGIbdsZtlelQBeLRWzbxrKsZ2xxuffee3n3u9/Njh07+PznP49pmoAS1vV6nQ9/+MO8//3v5/d///d/4GN9dx04cIA//uM/5q/+6q/48z//82dFoGua1hfYw8PDfPCDH+Sxxx5j5cqVAPyn//SfCIKAu+66i9tuu41SqcS2bdv4gz/4g74oOttBP1s/qXrd617HJz/5Sf7oj/6IF77whbz1rW/lFa94xU9sWPs5J9BPf3P+MBaXVqvFrl272LlzJ4ODP1pU86rxKkJTQTiGkXVN/IhNa0cwdI2puQZ/9T/vYnq+iZSSnG3ysht28uqXnN8/7rvuO8iHP3EfYaTCgo6dWGLliiprRiyOzIQ0Ogm622XzuhGuvXiUybkWj+2bZnS4xNhgiempOs2mS5Sk/MyLzuUlz9/BvkNzzC40GR0uYZo6AwN56rUunh/xq2++jnPPW0W76fFn+75GruwQJilG0cau5vG6ISNrCgytqWA6OcJpjyhKiJGEcaLsGBlWTjM0SmWb6ZM1ut2AJEk5FdmiOrhRnKBrBrOHl+jc0uB+72ESQGaR6FGc0vJjDE2jrMHuzz2O3w37i3GR2Q/COCLRBeNrBtm0weE731wgiiXV0RJh3qS10O77u0uDea58+XpKkaDd8MgVbQxDx7JNOsttZJRQGLR59Zuu44U/fzHv+eV/Vh1qU3WujIJNpCuG+mt+6wbsFVW+c2COTq3TazufuvY0hamrRQn3/OsDzB9cIOhkfPJsaOb0oPZH7juM58W4s3XijgdpShLlMHIWhibQBETAkUeO056uES/USLJBzrTrIQs5NFsxt+1qAdn1wAtUJH1GFJG+j0wymk0isEo5KoMlFhaaGKahbCFJioxVYqhKFk3RLJOhTeMsH5kHocJaolDNBMgowSzYWJUcsR9mlgnF++5jIRGIbMC4Od+gNFpRxxPG6KbypAfdkDROmDw8j99yCTse7aUWumkofF1GfYnDuN/1nT40Q5DxyqmBrinhrJ43BSHREOiWgdtUgrgXQCRCFZQUZ973nmg1LYM4/q7PCgmGaaBltp9CtdB3RNXnGvT4/UKIftiP1w6VRSg5NdhL1p23BkxyxQEkStg2FpSNpdtw++//rDlOp+6SL+cwbdWR1g0dIVAJnnHvejtFjgkzEk3oR4SWQWW0hNvy+gukvq1GE2rOOVCdbT/OrpVsMFQgcPI23abLyovWM+KF7L//8BkLmSSWWI6JYRs4eZvWcofACwn9iHOu2cr+Bw7jtj3y5RwDY2WmD81h5SwsR1mMJOC7AcvTNUoDBVrLbeIw5ujjJ6jPN3BbPgNjFWU3MnXctsf8iSXyQw5OwaK93CVNUqb2zyhufSoJg4j156xmeNUg+x88TGWkzDWvvpy99x3kwENHkKlUMwnVAlKmjK0dpbnYwi45LM/UmD0yz5qdq5jcN019rsnGC9fxC//5FcwemSeJEk7sneax257ss+ZBse7nji5w5yfvIwoiVm1dwaaL12PnrGf8naHrOqVSqb9t3qsoiuh0OuzduxcpJTMzM7RaLV7/+tczNDTExMQErVaLL3zhC5xzzjls2LDh+3aO3/ve9wLwW7/1W31x3qvf+Z3f4cMf/jD/7b/9N975znf2I8qfSUkpeetb38pll13Gr/7qr/Lnf/7nz/i+3++xhBB86EMf4q677kLXdX7t136Na665hp07d/bZ1kEQcPHFF/OhD32IW2+9lenpaSqVCj/7sz/L2NjYj/z8/9+sDHjwE3+O51a94x3v4E//9E+59957+ehHP8ob3/hGCoUCb3zjG3nrW996Bhf92ajnpEA/fcjkmVhcPM/jkUceYePGjaxYseJHfu4brtjMl259jHrLwzIjklTi2CY//5LzAfj4Fx5icrbO0EARQ9dodXy+dPtudm6ZYPvGMZIk5d+/tos4ThgeVB38JEk5MbnExtUreP1v3sT0Qoty0eGczeMcO3aExw/OEwQRo4NFhBBs2TZOEMYs1duce84qdF2j0XLpuiG6rlEqOuQLNpZtsLjcYXikyEApx+49UzRaHlEUUyopxneUKouLYeosNz3y8xG1kw26GT4PXVOiJgW7bFOvd9HdmM8//jCRTBXtpJeCk0rQBTgGOaHROrhMHGZx5alESyTC1NXAXl5n5YYhggPLhF6UhQwBKZCkaAULu2ixZsc4P/fyDRzcM4vvJQhTve5OKYduK47zyh1j/Mdfv4qDh47x4K1HSZJUYSMzq0JuoEAUxlz+c+tYvXOcD77vayzONNViIUowTZ2eIcLM24iRIl/+5+/gzrVIsh2GJIzRTD3zMysrwgN37mV57xxRx1NDrwIlkrVTQkzoGm47oDO9TOIFfYxj0uqgk8eqFhldM4jIO8ztnyGqt0hOG/gklSRdD7uco7JyCGyLxuHZzJeso2sCmbdJI5tcNYcfRAyMVIliSdDq9BchvSMyHIsojMhPDOPkDDrLLZXmGipiTtRje6O6z91am4P3HUQGIUErynCBqvsPZOE3qosfdnzqfkTsK3KKbhnEgQ5S4pRyiDRRzHRdxdoHmb0jSROSjjp/uqEzsXGcxZOLaIaGU3Dwu0qgFap5NUwYxH1KUHW8yvyxBQxTx7Ay6kOc4hTszMvsIjSBaZkYlkHUzLCWprKwCBRCMOBUeFAUxioxte8DF33+uJRq7iAlxev6mYVG0XVyRZvmYivzzqvPKCunBJPsoUCzc2faCllZn2v0P1tM26BQzdNa6vS99knPSlJ0lBjPKo4SOnWX4TWDLE/V1YIwGyQuDuQVS51TzHb1GkmcSh7d0CkNFum2XOrzTXJFR4nSVG2/9Dz+YTZTkGR8+CiIqS80iKOYynBJWTNMjeWZBkmUksRqx8gp2CoBNkmZP7GIZuiKeiMERx8/geVYxFHM8kyd8fWjbL1sE/W5Jo35JlEcoRk6Vnad2jmboYkBOhkhyM7bDK0YRNM0Dj58lKtedRmv+K0Xc/SJkyyeWKI0WOT+Lz9CEieUhkq4ba9P+qnNNTBsNUAbZUx30zJYs111bqMw4vE7BX43UNdPkjJ1QDHQDz5yFMPQOLLrBLNH57nh9Vf3UZg/apmmycDAALqus3r1aoaGhkjTlHvvvZdHH32Ur33ta8zOzvKHf/iH7Nu3D9M02blzJy94wQt43/veB6gd4bvuugtQYS3fXVu3bmXVqlVMTU3x9a9/nVe96lXP+Pj+7u/+jocffpjHH3/8x+5Y93JDvvKVr/DEE08wNjZGq9X6ntv1LKcjIyO8/vWv/7Ge82ydrR+2jh07xsjICADXXnst1157LX/zN3/DJz/5ST760Y/ywQ9+kCuvvJK3vvWt/MIv/MKzkvL7nBPop9cz6aBHUcQjjzzCyMgI69ev/7Geb6CS5xdv2sT+Ex7TSz4jgwVefO12ztkyQaPlcfDYIsWCCgMCKBcdFpba7D4ww/aNY3TdgFrDxbaN7Esf4jhSHHNngM3rR9m8fpSZuQbfeeQYrUaNgq1j2yZdL6SYEQfa3YCwFfHJj3+bKE6pBQEdL6DZ8XAck9HBElEYMzRYZOO6Eb55116+csuTGJaO6wbUat2MegGmYxDaAr0d06j5GHkTYQpkJCHJsH6mwBh02L52hIfuOYRh6pjVHLIbErsRAjAKFpW1Vd705mv49w/fR6DrpIZqOMdJClFCvmgjihZrL5xg/VCZux6cUuKczEKgK5FrWjrltQNsOn+Ex544yZ7HW3S7AakuSFJJMa+GroSps3bzGI8/NMkXP/EIUSdWFJOsu2/bBoEbUhzMY1mC//G+b9CudZXvXErSMCZM1TCfAM65ciP3fOFxWseW0QDDMYiDsB801MMmrrt0PUefnCHKwlz0vEWUphkOUQ2jGqZOZdME3eUuiReoMBkzs0+kKbahcd3rLsNPJLvvOUTkRwSNjhLTutb3eAshyA8W8TWDIEuAVXhK9VhC15TnynaQhs3iXBvpBxBFGf1F9sNq4jACKUgR1I4vkXg+HhnVJfM79ywLAEbOImq2+ouLxA/7VhNFvaGPSSwOFugstfrYwCSKScKY3ECR0S0rWTo0jVWwEZqGkFINlYIa5EzUY+arRdBVkihCoBk6dt5RyZpJyrrz1jK1bxqjYDA0Pkh9Tu1Updnf2EttdVselZESaZxiOpaiv/TsQBkuMQrSvn3FLtqE3bA/OIvUeqMIp4gR2T+6pfW78wjlczcsPbMsKXtKmhFkoiBSxJbgzCaCTFVH38nbGUUJvHZAHCaUh0t0ah2FWjSUHSAOY5yio0g/qEVFT0hWRkpKTAOhH+EUnIwEoyNSdfskSkjiFLelEk2ro2V0Q6e11GLxxJKy6ggUm+jUlhhxlBB0g8zLLmkvd2gutrPQJggQjK4dJgpiQj8kjmKSRFlqZCpp17vout4X/YZlsPHCtSwcX8J3Q6YOzLB6+0oufvH57LpjN4HvUxqvUh2p0Fpqs3bnKpoLLcIgAiTzJ5ZYu3OV4tjPN/n8B7+C2/SojlW4+IXnsfHCdRzfM8nhR48zlOEZF04uqSHUfdOc2DNNvuxw6z/fjUxStl95ylu+/tw1bLt8EwcePJLx/lUK7IqNY6zeqgLs/G7AkV0n2Hb5JlZt/dEbPafX6R50TdPYtGkTmzZt4sSJExQKBT72sY8RRRGHDh3iySefJIqi/n0ffvhh0jTFNE02btz4fR9/27ZtTE1N8dBDDz1jgX7y5El+7/d+j//yX/4LW7Zs+cF3eIY1OTnJb/7mb/KmN72J0dFRvva1rzE5OUmlUqFQKJAkCddffz0DAwN96w+c9Zz/SHXWg/5D1/djmZfLZX7913+dX//1X2fXrl18+MMf5p3vfCfveMc7eO1rX9vfZfpR6zkp0E/3oD+dQE/TlF27dpHL5dixY8ez4l0bqub5mQ2rvifYSNeVXaHXXewfqzjFKJ5dbOEGEd1OgGl55B0TjRjTNFm1chApJZ//6i6+ettuPC8iTROGBmy2bF/DnqNztDo+aZpSm2yRuBHuokvXV0Nyg2Ml/CTB9UKmZuusXz3ML776UqSU3P3tQ5imztYdE8zPNlmYaxEEMTu2T3DdjdtI4ha3fvUQWs7EjwL0qoUjDPx2wOBYmTUXTGDlDUacAkmaKrShTLGqDkbBIk0kW69ah50z2b5pgo8stQmimChO+1vGUqo4dscxQEoOPzSJ64an7CBCqDRRCUkqyRUMdn1lN7NHWspzrAmkrhPGkmaYoEsYHC+zspznXz9wC2mW+CkkSEsnzFjfuZzFq37pCu65/TFaSx2KA3l0TdAWEDR9RCqxcyabz1nJz//Ha3nvr34cISVmQS2GNEMjrLuYhsaqjaNc/8qLOLbUYd+9hxBChQYBGAWHWNcYGCowes4KItNk/ngdv606n73hUUUp0fDdgD27pmjMt2lM10lOS5A8nb0tpcRbapN0IoJ6h9TzECgbC4aBpUnCNCVXcvBOLpC6MYnrk7oupClhGKLZFhg6SZQwtH4ct9FBRpGixCQyE7mJ8sdndA67mKM4WKRxcgErQ+pphkbkhop2I1TCqNAExZFyf5iSTKRqupaxv3U0XRAFMbplIDSB1ziNI44ATYlWt9nFcBQbXDc0kkgh+GT2Hp8/vkQcxYTLIWErVB3qjJceZam6MoPhu22f0A3x2r4655mNRVlhVMc8ya6ZNEqJwvjUcKkQFAcKtLNE4N78gUIzylOWkuxbUKaSOExwija2Y5GmihRTm68TB4pac/qnQhzFfStKb4GDgMANGF45SL7kEHghqVR0nG7DQ2hqUFkIla4LSnibtpkNFOuUBgu0llr9MKjebmNv8BOg2/I4uusEVs4iCuJ+N5nModULbpIo7KofB2dcv5ZjMjBWobWsPPFja4epjJTZe99BhcvsBuSLDmHGXc8V7Myv7uO1fUIvxC7YeG5AGETMHJ7D7/hYOYv8iMPoymFmDyzQbbi0ltrkyzkMU8fvBvgdn4e/8TjLMzUM2yRNU1ZsGmf28By3ztSx8xYXv+g8JvfNMHVwFqdgo+tqgNa0Ndadt5LRNUPU5prc+an7WLV1BaVsJ9O0TZ7/hmvZdOF6lmfrJHHKE3ftZWii0n/dVGc9oV3r/IBviWde3y+VGtSQaM+SYpomO3bs+J4EwyNHjgCq4/xUIraXjt277TOpX/u1X2Pjxo387u/+7jO+z9NV73u32+2ybt26Pi7xk5/8JPfddx/VapVOp0Oz2eT2229nYGCgn9x7ts7W/yl1wQUX8Hd/93d88IMf5DOf+Qwf/ehHufLKK9m5cydvfetbefvb3/5DP+ZzUqD36uk66FJKdu/eTRRFXHbZZc/aKlzX9X6H8fQqFRwu3LGKex8+gqFrmIZOo+1RyFlccs4a5pfa/P0nvgW6+pINg5ggiLBNg43rhrjmsk3sOzTHl7/5BEIIRoeLuK7P/JLL2m7If7jpIh7fP43b9qkfbVDpfXHFsepWLbvsvGItgR+xUO/wqldcyPk7VzE1W6fV9snnTAQwsbLK+IoKUzMNXvSindx47TYefuQJWp2AMEjRDIlpmli2RZxCcTiPL1JKqcaDjxyjXnfBEEggSSM0qZCTHT9kqJjjff/1i7S6ATJU9hkpe61IiISkmjOYu2+K5mIn80zLzA+SDTnqGhNbhmG2xtwhhbrTs2FBIROkoTzxa7eM8su/9jze/7ZPqC18XVEzZJwiogSRN9l64Vr+w5uuxK7m+PQ/30uKEiBCCMqjZZq6Tr5g8f+89xV4qeTWW/cRuVH/+lFWAwORs9ly6Xpu+qUruOvruzlxYE49Z5KimRl+L5UKdZh36IaC5tF5/KWOwi6mKUks+kOVSgAJ6idruItNkkaHNEqAzGOtnfnFlAoN0e0iWx3IBGIQRpjlPNLIkx8ug0xJ/Bhdh6jb5ZSpWJL6AamlUxgboDxeoTG5hGGbGKZOFCXY+Txe08Uu53Fsg8CLGNkwxvyhmewIepHvJmksSeKE0S0r8eptYj8GQycOun1cICjxTipxa23mDswQhxFxpBCAPb45vdORLWqTMKY131Ad3ygh9CP0TOyXBpVlode5jsOYKIgAcapDLdSivTxaorXYVvzy7LFlKimPlvre8l5CaWmoSGuxjWkZaiZBqkHaKIz7VpQedcLKmfjdQA2LZsIY1OCnJtQQauiG/esnTU4bMEX0fw5ZOmdvcDc7RitnMXNkTv13KpECqmNlvJbf25hQuwV+hGkZuG2fpN7t/enkSjmKAwWaURspJZou+v72XMHBd4P+IHGPmrNiyzhzRxfVwGk2RGoYOpquqc61zPCPUUKSJpQGiwyvHCRwFTGnsdBi3Tmr6dQ7zBxeoFjNgSZo17t9zKZdsAn9kCROWZyqUR4s4bV90iThibuUBzuJEuySxaZz11G8pMjDX9/Fwskl1p27htJgkU6jS7sW4Xd8NE0j8iNmjywwvm5U4SL3TXPw4aPc8Pqr+dm3v6Qv5M+/YScn9k4zvmGUfEkJ3rG1FlMHZzi+Z4qJ9aPYeYvSYBHTMth44To2XriOKIiY3DdNp+GSy+4XuGo3oTjw7PHJnw6z+IOGRHs2kafzlve24ZvN5jM6no9//OPccsstPPDAA8/6YJzneTiO0//vd7/73czOzlKtVnnFK17By1/+8n7j66w4/zHrbAf9J1a2bXPVVVexd+9eHn/8cXbv3s1v//ZvnxXo8L0e9KcS6IcPH6ZWq3HFFVc8qx80T/ecv/TKS+l6IXsPz+H6IQPlHK/7mYtZs2KAL92+m+VGl/Vrh2m1XObnGkSxpFzN8+63v4hyyeHJO2YIooTRoWJmp9BwLJ2DR+b59Tddx41XbuHuew/w+P0nsG1DbaULgaZDEqXEQUx1qICbxDTqXW67cx+7T8yz0OgQL6WUSw4rRsoqvRPBod0z3P2NPRybWqQbxvh+gmWpsJVO5JOmksgELUg5tn+WesNFCpBh1hnXIE5T8sMF1q8Y4Ohj0ywtdTDKNknDV4E0WWfOyOs87yXbCBYCHt23jG4b5AsW7nJXDR4KgZEzedWbr6IyFPKvf/MoCA1NV907HZ00SrALJhPnr+BXf/X5fPv2vbQa7qnJO1THO41TTMvkpa+/lCcPz/PAfUfwOhFJlNJq+RSLthpOBCbWDTM53+JLn7yf9qzid5NKfBTST6ZKsKxaP8wX/uU7zByYy8SdOp7Ij/qJroapoxdt6kcXCOpdte6wDGQYIeMEDF1pb02QGyoRNLsEjQ66rhIo0zQl9QN1v2xdY5VyWHmL1vF61gnWet4LZBRR3DiGjCFotFVwUCsT5xmNI+15yiVI06Qx11Tphbqp/Na6OnaZSlLLJhA6vucytWcSXagecRzFGKZCPqZJgtA03JaPW+uShhFaW1M7IFL5fXVdU/g9AUbOwG+7aqEioFNr998vQmhniHWnlMu86bK/eIuTlMJAgfxAgXa9g24ZmHkTkajHOiOzJBOfPVqJ6ZgZ214lEnptTw0RCoU9zZdyfY+7BJUw2nuoKCFXcBCaiUyAzKahDlX0bSU9dqLumMSxElv9xV1vtSLPHBxWCwm9HzKkzoVQg7WRek00QxBFKrynMqqClM7YnBOg6SowCKEWIF7HR9MF1dEyreV2f4FQqOQJ/RDTNvqdyThOiIKI+myTgbEKURjTWGiiCcH4xjFmDs2pz1lxagEF4HV8WssdigMFOvUuS9M1Fk4u4XcCkiTB7wZURitqUDeMCf0IO2cpPGYcsDS1zPJMPVtoQqGSY8WmCWqzdTqtLid2T3P5yy5i00XrOfTIMSb3TWPnbQYnBpBIVm9ZwfyJRfyOT+AFzByZpzpaxjB1ju+e5BsfuZMoiDj3um1svWwjreUOn3jvZzn9QklTxYa/8xMKo2g6Jtsu28hVr7wMy1FzA6Ztcu5127jv3x9i8sBsP1l200XrWfFdSdE/akkpn7KD7nle3w/706qFhQV++7d/m3e+853PGkbu9PJ9/wx62rnnnsu5554LQLFY5Oabb6ZcLj/rz3u2ztazUWEY8tnPfpaPfvSj3H333adyMYDt27f/SI/5nBPoQP/EPNWQ6NTUFCdOnODyyy8/Y8X+bNTTCfRKKce7fuVGJmcbdL2QdSsHyDlq4r/d8QGRIRojVq2pkkoDCZSKOaSULNY6uF7IQq1DMWdhGEr0aEJ5jj0vZNeeKTwvZNqPyOdNTEPD81TKZyrgxNQy3dkunz/2CJ1uQJymlIZypCKl3nBpt30Giznimsddx2v4fkScpGg6lCp5gjglcCNK5Rxrtg9z7fO3sP/haepxSq5sk+qCuOXjd0Is26C8tswFV6znnMEhnrjnKJqtI4SkOFEmaAekUcLY1hEGV5j8ws+ez3/93S+TSiW8dF0jP1LC7/jkKw6bL13Hum0O99w2jefFpDKFRNlWREaBSVLJqnVD3PrlXdz9xV0q4RGUeDx1gVAZLLA02+BL/+Me4pbX9wiHaUorSTCEhu0YXPuiHXzhf36Lpb3TcFqSJYnKDDUMjdWbRhicqHDv155EQ5IrO+SKFrXJGjJOMDSBk7NYc+5KZmouQUMh5XTLQLcMIk0g/QBd1zDzFsZIhTiGcHop69LraDJFKzhIyyBXyWEUbPwsRTXsKPsLmkoclTLzbscpnek6QZCQul62EIgzH7wSv5pQux2xF+DXO7hhTBqE+GGI5lg4BRVdb9gmlaECtSNzyDBSAT1x3LeXSE3Dz3jwpYlBgmYHISWaoSgoURY4pOvKmiIAzTAYnBhk6cSiOnZDDY2mUYJm6WoWIEURZPIWpmXgZ7styn6TqkViEBP3HlPXiIOYyIv6mqtnQUGqxYSM0z5msXcsSZISE2MNWnSbqusc+mH2nhRKGGedzJ4gNUyd1ml2Bt3QMDMOutHrtkvl29Z1QeglxFJ9HgmhaDKKU39aSbWLc/qHe88647V9itX8KSuU6xN4EW7L5bsr9KI+57x3rAj185HVw6CpRYDXVQFPgdvjuSurj2UbGelFCXsEFMp5ZJqyNLXc3yUUqIWDposMcZkyfWgWmf0dnXoXwzTIl3O4HdXpX7NtJfmiw9EnThL5IZ26msuwHJMkShicqCKEoLnQIuhGmLaJaZvolk6n3qW51KIyUmZ0zRCl4SKFcp4jjx3vIyKL1YLCNgqN5mKLgw8dYfLADIVqAbflYjkWx/dMMndskee/4WpWb1/JgQePMLJaXT/TB2dp1ztUxsqMrh7Cd0Me/Prj2AWbK19xSf+cbrtiM07R4djjJ/DdkNXbVrDlkg0/9oBor3rn+KksLj+og94Ts57nPeVtXFddO6eHLT1Vvf3tb6darfJHf/RHP/C2P0oFQXCGQJdSEsfK4tntdp8Wmez7/rP+Xf6cLin6VLGf6HP8f6CefPJJPvzhD/PJT36SRqPR/9wulUq89rWv5Zd/+Ze5/PLLf6THfk4K9F71POh93BmwtLTEvn37uOiii74HbfVslK7rRFFEu+sTRQkDlfwZ23FCCNasGPie+61bNYimwXKtgWXqFPIFZhaa7NwyQT5ncvu3D/LovinCKCGou7TaPjlHJ41TrrliNYWCzYf+5V4eeuIklmPgexHtdoCuC3RNoziUJ9UFWjcl8RNKlRzdIESPBW7DZ/XWUYIwptHymBgqcXS6TaHgEMYJulDb8bqEHeeuZGauyUuev4PXvuoSpIRvfW0fCDB1HWEIqisrtBsew+MlBrYMsnqsyqOPnKTedJGmIE5SEjPFyhnoORN7KM9gReef/uf9zM41ScMEDA3PDzEMXXV7bZPhIZPPfuxxJo+2s0EtQCihrFiNkvHVA4xg8KV//baiXAgQfV71KXH3y799I//w3q8Q1rpZl1gROEQgwTYYW13lRa+8gMiAxX0zyCTNbqf40UQRY5tHufwFOxjZNMK3b91H6EeUBgp9UV0crxK2fW78uQsxKzlmFzt0jxwgiWL0nKWi56UKGsI0GD9/FcIwqE3X8ZdapIFi1cuMtiEzco7m2FiDVYLZGn6tgwzCfnz86ddZmqSYukbotkkaHWWLyAR12ht+1TW181DKYVoa3VoHKRXnO41j3EQFE41vX83SsXkEkvJIicbMMjI9tRCN/BChCQbXjyN0g64fYdiqa5wr5dC6PnGUMLxmmMZsA83QKA5XCLq9xZF2ClOZpMg4ZWzjOMvTS8qCUcnRWer0u+BJqoZpkRC6Ac35hvK8i4Qks6f0jq4nztV/QKehqB9hNwQNLMtESshX8wrbpzYYVLCQLvqUkt7CW+iCQiVPt+ViWIZi0WfHYuUskijpe/cFypvsdQIlMg2t/wEe+hGaqfeTT0HZRYSANJFZ2JmyvEVhTBzFdFveKR+4kGiaRtA9ZU3pedZ7dpTeax34SfZegskD6npOU0m+7JAr2X2eudCUdz3SFLHFbXuq0y7V7pOua4ysG6Y2XSdwVeBRz4ahzlPUnxGIoxQRp6zcMsHgeJXjuydx2x5L08tsuni9+v+naliOiZW3qc83yJVyjKwawm15dOpdxQlveRSqeRanF4m9mAe/8hhuS+2k5Ms5Nl+8gdCP2PedQyxN1xhbM0y71mHh5BJex2NpapkkTgn9mEIlz/k37OxjHXdes5UXvkkl/U3uV1SWQiWHpgtWb1uBEAKn6JBEMfu+c5iLX3weQmiYloEQgvXnrmH9uWt+1K+Lp63e9fb9LC7PRKD3BkMXFxf7NqzvrtnZ2TNu+3T16U9/GtM0v2/nvif0X/rSl/YXFB/60If4xV/8xR/4uL3vxyiK+iL7u5tcURT17Tj9xWG2K5ckCX/2Z3/Gu9/97h8KFXm2ztYPUxs2bOChhx5iaGiITqfDpz71KT7ykY/wyCOPAKfsiddccw0333zzs0Jyec4J9O+2uMCpQZt2u82uXbvYsWPHGSlvz2b5QcLnbj3A8dnHSFPJhjXDvPnVl7F+1dM/3yXnrObrY3kOHK9hWRodr8lgJc+rXnQe7W7A1+7ai+2YrN8wzMxUgzCM6boRG1aX+MVXX8bCYpvHdk9SLjmMj5ZZmm/TrLnEScoLbtzOa37+EpJE8l//+EsUCrayJAiBYRuEXkzsx2w9d4LjM3VMX1kfoiQhjFQIjCYEfjckX7Aplh2GR4rce+9BvvXQEaYXWjTrLrm8iTQ0Ol5AHKf4aUJ99yJfvvU4ra6vvMCRYmPHJERRRHEgz/q1Qxx9+CjTM100xyANE2SkYuWjWPlpd1y4guUT80wf76hO5UABt5b5mhPVrdt47ir+n99/BX/0W59UCwrHRLMNooaLyOJCnZLN2/7Ly9FTaC22leXC1ElTkVk0JKPrhvjV/9/LuevbB3nyKwf7mMT+9aUpssjK9UO0dMGjX9xF7WSdOEpoN10qA6rLmURqONPXBPsePkFztknSckmjGD9NsTLqjpYNwIadEL/RIKx3EVECQiONY8g6z8qpI8Aw8OZrRI0uGpJEV+mUMk6RmeUnTVLMUg4Rx8TNrhL6QiCEQRqFfeuFzKgv5RWDLB+eQSL7DHIkxGHEwOoxrLKTxdzbhF218yG0bNGQTTlKCWGUYsm4T4fRjZ5vO0UmKW6QImyLsOvhNTv91ElNU13eOIhVJ1zT1KBhmJIECaGr+OI964Y6foEUavHtdz1IIIhO2zHrrVe+S7wCShRn107ghVg5S3Xfo5h8Jd93RXkt7/tSVuIwJk0ktq2r+YKM1x64AbmyozCemoadt5TfGsVCT7Ljy04/uqaRH8yRhAlC10iiOHv88DR7j8j+HLVTRibAYz/GLigs4akHpe/11zT1eL3FAgY4eYswULhCQ1Pv6SRKGVo5yOLkMnGgXo8oCzJD17BzplroCoHfCWgutBheNcjSVA2/E6jAI8fEMG3ctpd14JUfP01TZo/Mkys4FCp5Og2XTqPLid2TeJ0gs+toOHn1mRSHMUtTNYZWDGDaJt1Gl/njC4R+hN8NEVpMvpRnxaYxWsttlmcanNgzxaYL1zN3dIHFk8sqLMzUKQ4UMW2d0TUjLE3XMEydhZNLLE4uMbFhjMgP2X//IQqVPBsvXMsFz99JabDIsSdO8q3PPXBGY0UzNBZOLvHZv/gqURCxYtM4F954DsOrfrTMjGdSTyfQn4kH/eKLL1Z+/CjiyJEjbN68+Xtus3//fgAuvfTSH3g8hw4desrfPe95z2N6epqPfOQj/W7hM2WT985zHMf9QKLed3fv3yRJ+r87/XwIoRJ1//iP/5h3vetdz+j5zlbfBfkTf47nUh0/fpx7772XL33pS3zmM5/BdU+lUo+Pj/PGN76Rm2+++VklGz3nBPrp1Xtzx3FMFEU8/PDDrF+/vv9G/0nUZ245wBMHFimXC+i6xp6Ds3zgI3fy/ne9gkL+qQMsZmenufb8Cs+/egfTCx3KBYfLL1jL+EiZ/UfmaXcDhgcLmIZOtZrH7YbML7c4f+cglXKO/Yfm6HQDcjmTJJGMragwOlFmbqHNueetZmKkwuR0jXYnIMyIFKahEYRqG1sIWKx3wI+ZnuzQ7QZ0XL8/uJimKbGuMT3fIKfp/PsnHmB+oUUYJdg5E8c28LoRQlP8YMcxCA83aDT9fgCMYWhIRyeNJYYQaCWbG152LlvGB3n4G3sQlka+ZCPzFt2lrkpcHMxz7Yu2sXFdypc+FfQHOa28o1jn9S52zuTi523lN97xIr76lV006l2kpuwFmq5hDBaIuwH2UJGbf+9FNGo+n/3XhxSXXEAcC4RQokZKycR4ha98dRdP3nWYaLkDKD9sr8PYC6iJgUdu2Ys31yDu+hAmxKFOI5U4ORMhJRNrh5ibarB0dAFvtq444KnybcSpxCnm0A0NYyBP6Ed4tS66pWM4JqGuETc7CCSGoZECVjmPmTNpztfRLB0NAxOIDA2Z+dNTCfZAidxwhc7xOSXWTENZRgwdzdAx8xZxlGLYhhLkUdIPApJZC1m3dOIgojVbp9PoIuOEsJuQpklflIP6wkwzTGF3voFnKKGrJSlm0SHwVYffKjjkHYPlBY80TnAbqkNKCkkqkDLM7PGCodVDtJbafVZ7nGEZ+4I/E6+arpEr53EbypaimSokSCCwCiZhJ+r7u4VQtqI484efHnWfxAlJGPfTPJNIscF74ry/g5H9zb2fx9ntZDY8qhu6mlHIeO+BF6qfZedL9MRFFpxkmDrd+qkPesPUsfO26q5ndBkplbhXnvjg1BC6VMdh2mYfS9lfiAiBlbPwu37/mJMkwe34fSSjlnXzozDqk3hOLzWMmgASwzSUZ18Lif2IOEwYWT1Mp9Gh2/SwczbtmgoHSyVg03/+OEqYO76gbElpSn2uQX2u1cdPIgSbLlpHaajAid1TdBpdnKKNaRvZsKt6fLtokwRqrqM4UMDvKsvD3LEF1u5cxZZLNtCud9l44ToGxip8+wsPYedtCpU8raV2/7WqzzXx2j4n903jdwMGxgdI04TycJnrX3slKzaPY+VsGgstqqNlNRC6d5okSWmPVbBzFnu/fYCl6Ro/8+svfFaHQs88/6qx9P0GIl3X/YHdudHRUa6//nruvPNObr/99u8R6AcOHGBqaopSqcRLXvKSH3g8mzZtesrf9ea4Vq5c+bS3e7qSUvLOd76ToaEhcrkcjuP001ejKOKLX/wiGzZswHGc/u8dx8HzPHRdP9s9P1s/8Xr1q18NqGvVMAxuuukmfvmXf5mbbrrp+1rRftx6Tgv03ko7CAKefPJJRkZG2LBhw0/s+WYXWhw6UcOxdUoZhs+2DOaX2zyyZ5LrLv3+24gLCwscOnSIyy+7lGq1CqgLoN0JiKKESimHZen4foRZ1FUKpmOQz1vkHZ1Gy+NLd+2m2fVZbnSxbIOhagHHMrBtg3Wrhzh8bJF/+Jd7CJMEzwvxgxjb1jOhAKEOfjukOdlW0ekCSOhbJ6QQiILByFCR+f2LdLsBCJF5VRNsTWPtuiEWlztccel6jG7EfbfvV8xvzVCWhDgl5+RIbZ2h8RLjF4xx1RUbuPXLT9D2IlJTU0hA26S4skwapay6aILSQMSjewIWFjrEcYpMEpJUkndMjLxNfrTINTdu5x/+x+08dM8hoiDJ6B8pcWZvkJrG+nNXsHS0zlc+9SBxb+AvlUgyMkqaYpg6F1+9kY//zR2EdZceHkOkEtIUiYaQyhPdSVLaRxdIwwhBhtGMIlIXyuNlxtcNse6itdz1uUdxZ2uKF57ZX2SSIIOQlResobhikJlGl8aBOTVTYOiKTZ4zsa0K+bzJ6u0raHRC5meatBbbmSVCnLKy5GykbTK4fgw3SHAXW7QWmqRZyJAmBJGU6vXyEoRhUhir0J2vE9Q6uJkdA9Rrrpu6It6gOOCR6xF3XKJMxCPVddO31WSiMFfO4dbbajciVSIcTWAXHCqrhmlOLaKbBpqlvOleJqyRkjTOvHtDZYSuK9uMrmE6FrplEvkhuqGILfW5OqZtUh4u02269DGAQtmVBBB7MZXREu16F9M2EbqyjsR+7ynlKUJMmhB6YZbWGWE7Frql94c95entoF77O6PF9DzHQtewHJMwiE89rh9hOfS78/SAMkLZWcIwxrCM/s+SOCUKFeIyDmJ6k5+aEMRxrBZzmq46o6ESyrop+8PPvd0CK2cSeqESeFnHPUl6/O5IBTLFAjtv4bZ8lqdrp4Y9xSnfu3puNTegFYTymscJS1M1kjhBN1Sok1OwAUmn3u3PBdgFC81Tf3dtppHN1whSTbD+vDWUBktMHZzBdwOWpmtsu3wTaZJycu80zYUWTtHBLjrkiw4Tm8Y4vv8kQSsk8EL8bKFRn60TeCF3/69v43V91mxfxfYrNrP1so3sve8gtbkG5aESw6sGmTk0R7fpceiRoySnoSZH1gwzsWEFUwdmePLufbzwzddx6UvP57HbdnNizxSaUOjTFRvHGFun7B3l4RKT+2c4sWeKndc8u+mBvTqdgf7d9Uw66AB/+Id/yJ133snf/u3f8ta3vvUMIMIHPvABAH73d3/3DLH/6KOP8oY3vIGdO3fyr//6rz+xGPPTKwwVDvhjH/vYU97mne98J4ZhoOs6hmFgGEY/HVXTtLM89B+mMsfnT/w5nmMlpWTr1q285S1v4U1vetNPPMH2OSfQv9vvres6e/fuxbKsZ411/lTVcQPFONZP2xrVFG6j66puT7Ptcef9hzh4bJGhap6Ld46zOHOYc889ty/O9xyY5VOff4ipmTo5x+TG67Zx3tYVPLDrBEHW5eu6IVvWDTE2YPDVu/dw8MQSq1cP9u0vc/MtBqp5Xvr8naxbPcjffvQuanWXLVvHOHlsmXbLx/ciqpU81z1vKxdcsoaH7jtK/UiDgcEcbc9DBGobXTd1xraUcMYG2LRmiGOPTGHnTDp+CAJ0UxAGEQODebSCwSWXrOMLH7mPOEmJkvSUyAfCToBZLiOLJgUMPv3Rb3Pg8DyRH6MlOlg6nSRATyBfdHAIufcLUywveplNQoKhEcmIVhhjaBrnXLCaI7tneeCOA8oB4hhEXqQWGNkQbaFi8bbfeAH/5W2fIPIj8kUHooSwc6qjbVkGz/vZC2ksdAhqXXRDVwg5PU/ccEFKdE1g5iw2PH8rJ/bNk/ghWoadA5DEiDTlkpedy0LHZ/cTk7SX2sRucIqygkRmXyaxEPhRQjDfVp7oKEaYurJIoBIkU00nMU2itrLIRG6ADCM16GeaPQcEMgEzb5POzauh0DglRUCigniElnHgJZTHKnTmG6RdDyFlFk2vbDJaFg6VJAmGY2GZGl7HUx3XRKjh3N57DKG650CuWiDouGdYM3q0meLYIHbOIg4TDEchPYPThxt7N0R1wQM3ANTAohBCWT4SSZzGhIHie2uahtty0TPuumHqfcwiCCUU/Rg982lrupZ1s+lbUk4fIE1lShwqERsH6n1m9IclT3leQQnuKIgzG5D6vW4owS2AXDmnrntd4LX9rCN/6s9VHXe1IyN0zkgYjfyY6ngFXWj4XpAdp0a34Z42T5MgMiSrEBqV4WK2y6AGbEk5Y/CzZw1KY7XA6rHDkzjBzln4WXJrdhErf7suSBNJkqakcUpzqY2encM0UYtZzdAIvRC37TG+boTAVQI6jmLogp1TlhqRDYGGfkQSJcwcnWfneBU7Z2XklzbLM3UMy6A6WqY6VmF45RCP37mHTqNLfa6JlbeI3YTADWkttQn8iPp8Uy1aVg2xetsKdFPn9o/fS3moyGUvv5Cvfeh2Zo/MY+dNdFPHMHXy5RyV4TKdbAfnwINHGJoYoDJSZnlGeeuv+rlL2XThehanltF1jfv+/UFM59QOqJYFZu25bz9HHj9Bvpxj4wVrWXfO6mftO+apEIugBj+fiUC//vrr+dM//VN+//d/n1e+8pX80R/9EcVikX/6p3/iwx/+MDfddBO/93u/d8Z9/umf/ol9+/axb98+3v3udz8lsaXT6dDpdPrHClCr1Zibm0PX9R+KMtPzsL/hDW8giiLCMCQIgv6/cRzj+37/d1EUEUURcRzT7XbPds/P1k+lvva1rz2j3aZnq55zAv306pEQwjDkqquu+omvsNesGKBSclisdahkX+SdboBtGWxZP0qnG/Df/vF2jp5cRtMESZpw27d280uvOJ/xcYXmmplr8Jf/cLtik+ct2p2Az335MV75sgv4mRt3cv+uEyRJylUXreeGy9bxxK5HeWL/DKWCzVC1QLmco17rUmu6XH7pel7/qkuREg4fX8S2leDcsGUUzw2Zm2tx1RUb+bW3XEeaSr7+hccJwgjaEU7eQuYFZiwxLI38WA4nr5Io2x0f6Sm7iUxSYgQ6glrDpVzNc+CJKY4eXyLyVGiNRBFFkJAKgWYIyrHgkU8/jpcN6hlZBzBNVaiKZmps3TzAgW8ew22FKqQoE2ypEGgIDEfnyuu28ItvuJL3/u5nSKSkVM5RLOdoL7bx2z66obH9wjVsvijHXXfso93yVCCOLigMF9Etg6DjMzCW52Wvvwy9WOTWzzyMTCSJJtGkRDMNRCUPYcxFL9nJUpxQW/aJ6kq09yLTe35sIWDfE5N06h7uUge8AJD9oVagj0qszzQQyy5Rs4twPdIoIYxj8oNFLMsACcXhErWTy9RmG8hOF1lvItOUyPMRpQK6YyGTlNxICXexSdDxMR0bXRfElk7U6qKhBivjKMauFNANA7/lYmRovSRJkbFBknWykiRFty3Gtq5h/sBJIBMlMsXJ5wi7PkI30HShrCyOhZFz8FouPRqRpusK9Rkn1E8uEDQLKvwnBCtnn2GpOE2f01poInRN+eN1QRSE9OLtC5UCkjTjhGdWl0wPJRmWsBc8lC/n8du+otVoQl2raYpTcAi6Qd+aDmpwOPIU6rF3f7WToBGHZB777LXTlIjuvZBatuhK0xQitQPid4Nsl0GqdNg+LlHdSWaLIoFQDHyB2kHI+ORBN+j73IUmyJUctVuRKttWz4ojNA3DMmgstPoLDStnUhos0GmIM5GNiXpvxWHc57H3Qotsx8Lt2WFE7+89xTgH9bMkSbNgHwPDNnHyatEVdEPcts/689Ywc3iObtPFKViEfkwap+impiwyQuAlPn4nYHmmTqGaZ3mmzuJkD6+oXlOn4DC2boSxdSPMHJ6jtdQmN2xRqBbwOgHzJ9XwsGHq2VCvYOWmCQzL4MSeKQ4/dpyrX30ZmiZ49LbdtJc7nHv9do4/OcmqbRN0Gy5uyyNfydFaarM4VcNtewxOKAQkwOjaYUbXDiOl5MjjJzjy2HFKA0WEJug0uiycUHz4sXUjzB9b4OSeKa75+cvYcskPHrh8JvVsdNAB3vOe93DhhRfygQ98gOc///lEUcSWLVv467/+a37jN37je57jNa95DZ/+9KfZsWMHO3fufMrH/e///b9/D9GlZwFYu3Ytx48ff0bHB9BuK7zqX/3VX/UHj3vW1DAMzxDlp4v3JEl44okneN/73gdw2gL2bD1tnaW4/Eh10UUX/VSf7zkr0KWUHD16FCklmzZt+qls09mWwc+/+Bw++tkHWcrwa6apc9P1O9iweohb7t3P0cllRgaVP73ZbNLswoN7lnnpjeqD5VsPHKHV8RkeKvQ/aBpNl7vvO8jfvO8X+LkXntdHmLmuS5ImfSwbQLHkUCw5pNOC1asGieOE+3YdZb7WodsJqLd9hgcKDJRzWDmTFRNV/CDiE595kKOTy7TaPoavkcvZpELi+xGlcp5WN0LWOzyx0CFKlBARGY85iVISU6M4kMcJUu66bR+JLkBkMe2C/v/WbR3jssvWc+tnHyMKYgxbVwImTLEqFpgG1bESq88dovngCQI3Vp3CrPubJilO1UErWFxw4xZe+6pL+djnHmRpqUOcpjQ7PvmcRWW8gjR0JraM8PrfuIF//Mdv0JpaIE1S4kDZW/I5Cz1nYgDn3rCWwyfrHHxsD515FfAh44QIxcQWEuxSjqTqMH/PUeKmR9Lz/SapWjRoSmhZjkltroU7WVPd7jQlS5Hpd217Xc1EQjhXJ+q4mXNCIv2QtOtjlgcYXD2E50e0Zuqkro+32FDPKTSQKVHbxRkoolWLoOt0ZpZAV0QNXRNYlQIyb2HlbbphiBAGUZTSWmohUV3fKMysCpZOADhjA4qb33FZnq6pFFZNkCRpf0CzJ97sgQpBraV44dnkkZRqaFLThSLyCLAci8gPSeOYMI6JesmiZB3e07rLPUKKGoQ85a22cha5aoHlySU0XccpOQReQOSGZ7C4ZSIxbAMjG3bVdA3D7vns1fVo5U0iX3XJ+wOioUIp9sS5EBB5EU7BykQ26KYGOgTNsC9kz1homCqBtFBWHT2hCzr1UzsFsmeP6f9A/R8VwKsIR2qnIUNHCrW49Ts+lqMGL88YCtVPoRF7nwNxGNNcbJMrOnhtP/Neg0RSGixklh+DNJWZ/z7F90NM2yQO4jM8+5Zj4scpILPh48y6EyeIIEIrOWpxE0S06x1qs/U++cQu2JiOSRxGpKkkdAOcopOx5VNO7JmkB1cyTJ1VOydwig5zxxZoLbeZPjjLtis206l3aSw0cbsuuXyOfMkhX86xcvME0wdnCbyQ5lKbxcllJjaOAZKDDx9hav8MURSz5ZINXPTCc2ktd/j4H36GJEooDhQpVPM0F9u4LY9Hb3kcBIyvH+UbH7mTG3/pWnJFp38eLn7hedTnGpzcNwWA2/IwbZMtl25UrHlg/vgiu+89wIbz16oh/B+znoqBDs+M4nJ6vfSlL+WlL33pM7rt9ddfz+Li4g+83Xvf+17e+973PuNjeLqyLIvf/M3fZHDwhx+6XbVqFf/4j/8InBXoZ+snV98vgPInXc9ZgT4zM8Px48fJ5/M/EfP+U9Wl562m25oHe4wwSjhnywQ7N48jhGAqSynUDZ1Ou42maQxUCkzPNwnCGMc2Wax1CKOYTjfEsQ1MU8c0dVwvIghjCnmb3funuf/hY3TdABm3OW/rRu544BC25ePYJsuNLlE75JYvP8FnPvkAIZL8gIPvRXS6Aa4XUm+4rBitcPlF6/j2g0d5+PGTFEsaXtckDFI6bZ+cYzI2VubSa9eyND3PicM+lYECHT8kavokUYqMoVjNUd44wI3XbOFz//wdFcyTMzANjaQTksYphbJDaW2Vm3/tedz39d14Xkgqsq19XUOmCakbk1tXIrcyj6V5TB9tk4UmKlSiAJBEXkR5ZYWLzlvL3/7lbRw5MEsUxMgkJUkl3czagCa46JL1fPnTD3PigXnMXicfCGXmr09ThsfKFMsmd3z+CDJOMXImoqU6rmQ+VcvUueL529i/f4FgqaO6dwWbNIyQ2XNruoFlG2y6bAMH9s4SdX1lf8k8xknLzTrnasFhjlRwuwGy46nFjlBDe2msFhETF67Dd0MWjy4RtDySxUbm+1Zpqb3PC8fRkbquUjDdEN3U0TOR6ZQsGgs+5ZVF8jlJ7ViTuNUlDCPSOMkoKhLLMTPeucHQiipzeyZJ/ZDAzYJ6khTN0JVNwVUd7dJIBa/eUVSYNCXIQn0gs1MkaT+cKF92aM43lKg8bUGpXtFTw5dCU1xtmfQmUEWWogSFwZLqKKMWBwDJaX7vnmAGskAf1ZY3slAcmV1MoRtSGi6i65Hq1uZtoiDKki3JUl9FRj+BfLlAc7Gl7p/NCPR+36ObnFogqHPVrnfpUWOcgo3X9k8dI6eOUwiIQ9WhTrLf99I9nYLd72j73QBDnLLj9M9dIglcX53vlD4KNIlTJjYM4HYC2rWOykowNFq1juLHZ3Ya3dD6xz60YoBuo4umaYRBiKbpdFsufVCPpM9571mI2sttNVBsaHTq6r5OwSb0QgbHq6w9ZzUPffUxQj8iChM0L8SwDJXAmqjrLo5UMuvi1DI7rtpCfU7ZXpZmagyvHmLFljGQkliPWbVugiO7TvYHeYsDqqMu05TaXJPWcpuZI/OUp+tsvFAJ5UdueYLabIOX/doLWL11BYcfO87wqkEGJ6o0FlrEUUJ1NMfqHSvIFRyevHsvxcEiz3vtlf3zPL5hlJe/7UWc2D1J4IbU55sc2XWsL84BxV9vdAm6IUb1x/9qfSqLi5Tyh+qg/99QY2Nj/Pmf//n3/PyM2Y/vU0IIRkdH+Yu/+Avg+xNvztb3lpD9zdyf6HOcrR+vnnMCXQhBrVZj7969XHTRRRw5cuQpg4N+EqXrOtWiwfOff/73/G54oIhA0O0o72O5Umap1mXlWBXbMth/ZJ5H907h+UqM67pGtZQjCBN2bp0gn7O4/d79fPKzD+EHEUKogIYrqHLZOWvYc2RODZa2QzqLXULTwA8jAj8mDRPWbB6mVndptTwGBgv8+luuY2Kswr998RHiKKCY19h53mrqy10WlzpMjJX5/d99GYYe8zd/91U1sGrpWAVLbV93I0By3vM3k+oSrx2wVOuQalnwi5BoFQs9kQxvG2V09QCdhsf9DxzB8yI0UyNJJUJkVoAkBR0KacDhu9sEXty3LCiPrhInmqFx/fXbuOtTD7LvkROK560JleaYKiuJyGlceOl6tq0d4Yt/eSsySoiEQCAV00+AZuqsXDPEy994BV/+/P0EbkhlqIBhqEVRc7aJTFIqgwW2XrSGkZ0r+c63DvcHODVNYA0UCRsulqGx9cLVOANFQsMgbCl+tGYpZKVmmVAqoGuSwY2joBu4Xox/fB6SFF03+nQYoQvSNGVu7zRxCqkXEHsKbagEIUDWKZKS5lyTwkoTmwTX80lciUgSquMVgq6P0DRGVw2w7zsHMXRF2Om22sgwIowidMfG73ggJcMbxlk8MEMaJzilHGEQQ2oQuyoMKfTUtnK+WkCmktD10U0DhIaVNwk6maBPZZ+9XByu4nf8fjdb6CpZNMlwf1oWBGSYBtXxKo25Rv+9LDRNed6lpDFTwyk6CuuX00nC7w0h61USJbQWW5A9tkwlVs4i8iPVFe70LCRpP9RHNzTiMMkGX9U1Z9iG2m3IRGyaddIL1QLt5Y5aE5y2QEgitVui61nYUAqBF4CGCl067Uur15EW2imvvkxlnyAjs8587/c9W893V5pINF114JVtRt1ncbquFq1hDKbO4EiV0I+Is78ridJTr4mAxZPLajdAgF2w0Uy1SAiyBVmapkiZqoUPqlMfZ383qJ2jkdVDlAZLTO6fpj7XZP25a9hx1Rb2fvugEumBGqoNY/U6lIdLeG0Pt+3TrnVp1zpUxyo0l1osnFhieaqmPOxCMLyxwjnXbqc+22J5rk59ocnomiE6DbXTc+zJk+o440R55hdabLpoPcVqgakDM8wemeemX72RW//5Hk7um0ZKyeptK3DbHpsvXt/vvIZ+yIH7D3Hpi88jihJKAwV0Q6c6UqZ6g7J8nNgzxYk9kwRe2BfpzeU2I6sGcUrPTmDOU1lcgkCRfH5cxvL/afX9/p5n0g1fsWIFr3nNa34Sh3S2ztb/1nrOCXQA27Y555xzGB4e5vjx4983TfQnVcrP+/0XBFdfsp6v372bucUmlVKBheUOpqHz0uftIE0ln/jSw4RJSqWco5MRXJZqXSbGKrzulZfgBzFf/PoTJEnK+KhKiZtfiHhy3wz/6W0v4GU37KTV8fn7v7uDrmkwUM2zUOtgWFIFnfgx51+4msm5Ojs2jrNh7TBHJpfYc2SGuVqHEa2MU0gYW1ElEbBh0yiDA3luvWs3B0+0aTYivDBCt3QiKYmRWDmTVuBTSQy++sgTeF6khiktPUtgTNAQOAWLsXyOf/7w3TRbyg6h2M8KI0cCxbEcl+wYZM+3pmks+xg5k6gbqAAhTXX6DMPgF954NbYQHHhsMvMma8orEqeYRRO7muNFr7iA//Dzl/F7b/qIEjwafWQkaYpm2Vx04zYuuW4z33nkOHPTbYVR6wQUs615a6CAqWu86T0v5a57DnL/nfuVZSOVhEGMYSnkn56zmVg/zMjONRzedRK33lWpoxkv2zANRGaPMPIW5By8hSZBw0VkXWZFxNAzjr/SPL4XEtU7hM0uIk6zEJ9Esb8zm4yUEt2xiOotvIWmGniVEDQ7NKSkMFxhcO0AnYZLEiXYlkFjdulU+JGUJL6PZhZwRgeRhkHkh5iORZKF5ThFm9aCRHMsFdwTS8xKgdRXXWGV2quh64ouEqcJzugAUdcnDSOcgkmjlSVuCqF455FCNQpN4JQL+K0uQhP4be9UEImmhGCvMS6EIAoiZCr7WEVO//7+LvEqoc8LB/BiD8MycIoOzYUmds7OhLF6fySRel7FIU/6PvbWUhvTNunhFKVU6Zq97i/ZrphpG/gdH03X+5Sd3uyBYerZYGEvHVIQZsclU3nGoctsDsPJSFBhEGUe8qfeYj19PyKKEspDJdzMJgQq5XPh5JJCDi531I6C7D2Xhp4xyDVdO+WBDyIK1QKhF/U790mG5kyTBJGeOv8yVefQa/sUB4o4BZtOrcvSjKLDlIaKeB0fp2AjUEPlSZzgd3zsvK0GVpOUE3unSKKUKFAJoiMbxzAtncWpOvWpFktTNTZdvJ72bR2WpmoEbkDoR1h5i/KgorUsHF8klZKT+6YZWzdCeahE4IY8dtuTSAml4SI3vuEaVm9fyaGHj3L3v33nu4SgYO74Ap/60y+QRDED41Uue9mFZwQSrdg8zobz13L4kWP9HZpcKcd51+9A15+dLu5TWVy6XXXtP5c66Gfrp1yZtewn/hxn68eq56RAL5VK/Q8vXdd/6h101Wn6Xi+cSANuuLDMTGOYY9MthgcKvODqrVx54TpOztSZX2wxNFjAHivTaHi43QDXj/jZl53P1k1jHJ9cptFysW2DJFVEEcvUCKKEqZkG5+1YxWA5T63WJUlS/CDCsQyC7Ms49GP8ICKKEqJWyF/89S3sPTFHy3PRdINaw6PrRYxUCip9sOHz6//xf7Kw1EF3IJez8bwI4cc4jomp62zdMc4Fm1Zz9zf3IQXYAw5RM1A0CU3DNHVKE0X+w6su5d/++du4foReslTCZVuROQxTxywbvPzVmzhxsE6nHSENgZGz0TShSCtI7KLDa95yNde++Bx+/z/+s0I3agr5p5kaMoxJ05QV28e46qrNfOJf7uPEwXl18qXo20NkkqAjuPS6TXzti4+zeGKZpBNBkhJ5Ee1UYtsGpCmbzlvFww8d5+D9R4nbPjJQdo40SkDXMAwNzTHYeM5K9j90lOZMU4nOooMbRCpwyQTT0EDTsIZKdGYbBPUuuqljFh3CMIIkQUNDz7Zo9WKO1A/xGx2ErqPbOgJJ3HazVqvqaGq2iVXK0To+ByjeORJkmiLDiLGtE8wcX6Y2WyOVkm7WDe7xuAWK2EKiMIOLR+b63dtUSuycjd9RPPyxrStxl1q0ZpZpzwZoIkurFAI7bxP5Ssg5RYfqcJGFepskiFg6udj3LhuZpUItEKAyUiH0FE0E6HugezYg9XO1GClUC3Tqncwffprd4zRrS680XSMJv+t9L8GyzT6lRghBFKoFZRx87yJeppLAC/soSzWNmNFXhCA3mMfv+liWmbHa1aJDSrVz0Nue71lD4oz6IjJsn26cGsDs2/AzO0mSJDSX2v3/1k0dKb7PH4oi/URBTMKpv7fbdNE0gW4bChOoq5Ah0zHJl3N06t3+bZM4JYnVQLeuK4sRmfUmX85lFJ0YLwshApntFKigJdOxFHVHKm96c7GFnbfpNl2O7jpxKuVWwsCGCqu3reA7X3iEKIozca1CipIkpFN3cfJ2fzGGlFTHqrSWO4TtgMXJZTZfsp4Vm8ZZOLGIbugMThRZOLGEU7ApDxVpLDQJugFRELM8U2f++BIzh+eIo4SxdcNEkxFT+2fJlRzW7FhJruiwPF1ncKJK4IVM7p9BpilpolJwZ4/Mc9vH7uGV77ipH0xkWgbXvuYKVm4eZ+bIPLmSw/pz1mQe+Gennsri4nkewFlyydk6W8/xek4K9NOF8f8Ogd6jx5x+HJ1Oh127dnH15eezatWq77mfZRpZ4IsSXYODBSqVHPPLbUaGiiRpygO7jlNveiRpimUZDJRzJJlYGBwo4Hkh//Cxe+l6Ib4X0fUCco6FaegK5ScT5pfaBPMeDxw9guuHSsTnTFasHqDR9ui6IW0rZEQ3eeQ7RwiihDiKiQNJedCmMl5mcbFDLmdy8y9dzbVXb+br39xNEESUB3K0gpBiyaZbV13yDRetYM3WMdIo5eRUjUhIoiRFz+mYTg7pxQytGWB8U4koDjh0pEMQxGBoBEGM6ZjYjkkapVzwgm2cf/lG/voD36C+1FGd91SqgXRSZAqmpvGiG7bzbx+9lz0PH+8H6KhpPvoDcCvWDLJwssGJB44hvQgp08yukJFmLIPhiSoXPG8zn//It+gcW4A47U35QaSBqZMr2oyuGcQ3BIuTNSzLyIbLHAQCt97GNDUsx2JwzRBL3RB3uYNhKquHkBJroIh0AwpFC2Ho5IYr1DshnemlvqDTNAGWiVEpYhoCs+CQ6gZekNBeaKldBkMNCiZx2u/qze6fAdMgaPukXoAMVddb0wRJorqnaZwS+yHVcZtuo0MchMR+gFXIAcqznavkCdou3cUG+XKOyI8IXV9ZKJKUUNDfBSgMV1g+phZGum1mlhJPBUOlsr+jZVgGQleoRKEphngq1TChbur9NFMhFIs9jpO+INdMXS0ikhQhNIRG356hGTqGaRBmaNPTUYpuyyOOFf0kyYKFDEv/nrTQXvUSNZNE4QiTJEWkCZqhEXR9Ij/uhwSZjtm3yfR4lpmmJ4mU51qmaX8Y2DiNkHK61VYz9P4iAE39Mjktzfa7K+09SXaZCyHU7Q3Fhk5kiobqjHcbLt7pSMXTNL/q/Kpuu+WYxGFCc75FHMckcYpTcjAsFcDVipWvPcle0x4pptPo0lrqIDTFTM9XcqzYOI5u6JzcN83SVI3V21ayZucqjj5+giiIlBVJqGtycGKAFRvHmD6kSDDzJ5eY2DROvpKjttBg6sAM0wdn8ToBdsHiohedR3moxB2f/BbtWhu3VWZk9RBTB2ZxWx67792vPPepxHRMVm4ZZ3TNMAsnlnjy3v383DteylWvvJQHv/oYk/tnVLPAMhhZPcTQCiXG8+UcJ/dMcezJk1RGSn1cp52z2H7lFrZf+ewlB55eT2Vx6YUUnfVbn60fuc5SXP6vqOekQD+9DMP43yLQDx5bYG6pw/BAgU1rBnn00UdZtWrV9xXnAOMjJTavG2HXvunscTSWGy7DgwXO3bqCbz9yjDseOESxbNNq+IRBzPxiG0OH7VuGueCcVdx2z34e3z3N2IoKs5MN4jih0wlwbIONG0Z46c+cz/xMk9uO7GFgII+/GGKgk8QSvxNw4SVrmZprMFLKc/T+k1i2SZCmyEQZZDtNjw3bxykPFZgYr3DdNVvYe3CWex86wsJSBz+K0YUgAsyyDQKckTxlafDxf/0OnY6vBtNMnRRJnG2vF4bz5GXIHbc2aC56pHGqwmZ0JdK1FKojRa69ajP/+Je3cvzIgho0DCVoEjRBmijbwA0vOofuTJtd9x5CoLzfiR/2ySMaAidn8ea338iH/9s3iNu+spZoijgjohizkuPql+wkrVjsOjhL69giMowRmQWFbGhybO0gGy5fT9MNmTymYtJlCraTqk5kziKvV9hx6VpCwyD2QozGYoamVMOGuhAIy1QLgg2jFIbLdBebNBbbpHGiwpNs0R841HQN4VgMbVlF/fg8wvNJQtW5FqkkRfaHMKWUFCp5mtNLpO2O8k8nypKRxOkZNhmnlIc4Imq0QSrRFbQ6RF6AWcwzvG0V87vVNWHaJt3l1hke8NiPEIZOacUIdt6iGcXoluKdWxmVJAoijEIOghBNCMY3jlGbqQNKnKmud4wQijGdqxYJOx523sIuOHhtD4myfwiUMFXiO8WwTXSpAp5E1sUG5ecnVTsFfToJykYUdBWbPvR/wBeJUMOYfkcJ/h5PO3BDnLytxL9QIry3KE/jU3YUtVhK0HUNqSnBpWgrSgj3BiYRZKFH2euTtdU1TVMptgLyVQffDUkjFcalWzpJkHzP8faul3wlRxTEeB0fMxvOPJ14c3pDPk1STEcFHIW+YpgHfqA87pqG1/YRImBo5SBaw83oNSqJVM9IOXGW06DpGkkU0627NBfbjKwZwsnbdFsujcUmo6uHaC21aC62sXIWdt6iMd8k9EJay21KgwXctkfkRyxNLdOpd0miBLftM7ZWXWOBF7Hv2we59KYLWbl5nIMPHWFpqsbQygEMy8B2TCpjFYqVPPX5Jl7bY//9h7j85ReRr+RYnq7x7X9/kNCPueDGcyhVC1RGy9z28XtODSnT22mJefyOPey7/xC6rrHl0o2cf8NOLMd8+mvnx6ins7ictbecrbP13K/nvED/aXfQpYQ7Hlli5pZbiOIEQ9cYHTD5hRdtZsuWp+60CCF4y6sv539+7gEOHV8kDSLWrBzgDa+4hHLR4YHHTyAlbN48zvx8k+XFDp4fUa1a/MobLsexTXY9OYWuCwaGCuTzNvXlDq2Wx8qVA/zZH76SQsHmHz96D1GU4HkepqERS4GuQ6fpq61/U6NomHQ6AamQJFIqNJ2USJlQq3URjs6qkQof/se7eOCRY0hdoBuCRsPFtHScvIUXxKxYM4Ax6fL1fz9AmCYYluoYxoFKT1Te1DwXbs+z6/5Fut2I4lABP+0q32ui8H92weJXfuv5TJ5cZurEMsLQKA6XcJfaKuAI5e++8oatXP+K8/nAuz5DHCU4BUtZNOodIjdEIBgYLfGC11zM/Q8fY+7YkrIkKL8DwhCkUUK1mmNg4xD3fnMvYdNH+iE9dnXPbiGFRJeS6akGrekmgRsoL7Mf0m4JHEdZKeyiTSQ0lo8v0VpsKyGbpqQJpGaC6ViYZpboqmnM7Z+hU+9imDqGYxF3lQDPF3PEcUIYp9iVIsuHZ/CbynKg5W1FZUnUAJ/qUkusYg6v2cGttRUlRhMqaChQiZkylcSRElTliUGWjswAUiWdilQJSpmCY7F0YgmSBGEYuC03C+eRfYKHCpFK6Cw0SAoqNl5kyMDQCxGojvnqHauZ3nsSv+0xc2AamWbUFEvv20gU+cShUMnht7q4LQ+35SlrCEKxvKO4L4YN21SLnoxIg4Q0Y5n3+OW9xFMhBMFpiEeZoQZNx+x3wk+vPgP89Pd4KvsLgThOVFdcQpokfSvP6dU7Lskp2wvZT0zbxC5Y/WFRmUh8N+hbfMRpUHLDVl1tTYgM56jCgvoC/TQ/eC8YrLnQUu9fstC0pymZQtBV5yYOY2UvEsrOYdomkt4iRVIZKdGpdwn9KAsPU5aUHhkmX8rRaSoR32l0KVTyDE5U6TZcDj50FJmowXChCdadu5qRVUM89LXHkBLatS4TG0ZpLrZp1zsc3XVCvRbZ8GdlpISUkvpcU9FeppbZevkmWktthfjUNbZcsoGpAzOsO28N3YZLc7mDbVl06l2WZ+vMHpqn23LRdI1cMYff9ZnYNM7zL17P+nPXsOu23ZSGihimQbum/O5JlLBq2wqCMOQ7X3qEwAu45lWXP+05/XEqSZJ+Uubp9cMiFs/W2fqeOutB/7+inrMCvfdFqOs6QRD81J73noeOcvBkl2qlQLVcpNnqcGymzZF5yVU/YCJ9aKDA7/zyDcwstAijmNXjVYwsRjwIFNVF0wQTE1UmJqrMzDepFlKqZYcT0zWOz9SYX27T8UIGKnnGV1WR8xrr1g9TKNg8/PgJHtx1nHbHp+tBqZjDMsHtBFiOycn5Bk6isf/JGfzMT6wZGoauEUdqa77h+exYMcbd39jDwmKLKEowDI1CJYdTUsJeS+EF123l+K4Z9hycJsy4zdKLcQZzhJkQG98yzM5zKwwUinTasxSKJjGC6uoqXsPDbQWUxgq89JUXkhspcOs/3UsYxaS6QIYx9kgRoxOSJCnXveJ8rn7eNj7+sfto1rogwPMiLEuSGyoRiQ6D4xXe8d6f4bP/+iCzRxezxEu1ABHZbrEmBGvXDvLgHQeoHVwkdXtiTvm+yYYKe/7e+UMLxLU2UdvPBj4hAoo5S1mPVg+wuNiiMdsgrrcJ29ngnoRYJji2SZKklCeqNOtdvHqHfCWHpmkYlk5rTkKsQjtSCeZgET+MSVqeShw1lNXDGiyRuj4kKVIHijaykKc1pzrUhmkQhTGmY5FqmsIXaoJUCoSu02l0+8OJaaI6d7qpEXkhWhgRS+UPD7o+Tt7KtGDvej5lIdF0QehFWex8hLQVI5tU4lQLzB+ZJfJDdNtAN/Q+9SXywyzsSQnJXDlPfUYxte2So4ghYdQPzunFtGuahp2z6Da6CA10wySJY4RUneteoFDPclao5Ok0uhk7PEMpIvuYxV53WQjIlXK4LU+RczhlQ0mzAeCewDRttSAJ3O/CtPSunIy9LjTQsgut12FP0xSvEfaPz7QN9Czxs9eZ7z2k5Vh4ba/fbUdKQve045YZHv8UVIbkNPtLFGRBTLo4o0MMp7CY/RJnCv0ojMmXHPxOgNt0sRwLK2epnQtdLZrayx1F50lSoijGtA2CbkjohUwemM4yEdTideWWUYQmmD40x+zhOSY2jDKxaYzJfTO06yHh3inV0bcNqqNVBibKirySwPEnJ9l5zRbatS6t5TaHHzvOvvsPYVoml9x0ATe87kqWpur8r/d9gTRJKVbzVEdKLE4u47Z9HvjSIwSeosgMjFVZuWUFmiaYPjjLyb1TXPyi81iaqjFzaA4pIfBDnILFlss2YOfU4K5pmxx++BgX3HBO//36bNdTedC73e5zjuByts7W/631yCOP8Pd///fcd999zMzM8Pjjj7N+/Xre9a53ccMNNzzj/IHvV89JgX669/unbXF5dM8kAHnHIgwDNJFSyDs89MQkv/Rzl/VvV2t0ieKU0aHiGccrhGDlWIUoSth7cI4gjNm+eZzztq3g6OSS8ozbJq4XkqaSdRMlluodPvHV3XiZt7frquHSTjfANnUuv3g9UzN1PvHZB4nSGN0QyATabR/bMsnnLM69eA3nnbuKb37pCaSUWCWboB1ktgjFhc4PFzj/0rW4x5q0mi4YAoGmYsibHlsvXI2bJKxZNci5mya4+/OPIzWQQnXYkyglagWUNg6QChjdUsSIU57c26ZW99B0MHMCT8ZoBRNNpqw7byUrxqr8w9/cRmOhTRqlCDQSElwvRQMGxivc+KKd/I+/vJWF6TppqljiQldb0zLrLF923Sbuu+MABx48rnCLQijaCgpHoWsaVs7ksudt46N/eStBXQ3aCUNHhjGkKULT0XUNyzYZWjnI8T27kX6o/OSagChBhBEj6wfRB/LkBgpM3XOI7nwDPD/DQWpKSAcR5bEKQ5vGCIOIhYePk/gx+YrCRcZRSnViQKUVbh6nPFBg+tgiC0fmSSIl7nVNEEYSO28TpJLBzRMUKnlmD8wQNFzSIEYTZIsR1cX2/YhctcDYtlXM7DlJ0HTxusr6oLqmArPnyxaC4lARr9YhDHySOKUbBKd8y6Z+yk6iCfJFh85SC6QkjRO6tQ5ogvxgicE1I8zuPYmZszNxDX5yipzSS2Id3TiO76n4Tk3X+17t3rCmmbfBC8mVHJxSrm+1MUzjtA61IApi8uWc6raj/o7QVwsu3dD7HWIyXZqr5AjdkDRNyRWd/qINsj/3dIZ5JpwDNyDUhBLeT7P+1jTtVPpodq4MU51jK+tO94YxhaaGOtM47dtyNE3QbbnqvBmaOhcyRcaSwkAOvxOekaRq5U4NbgpNZDYZJfqLA3m8lt/nr/dsQqcO7jSOfSoxbYPQi0iSFMMyCLwIt+X37yuEYGLDKH43yAY7lXfftC10UyP01c+0bKclTVL8bsjgiip2wSFwA+rzCsnotXwai03y5TyFSo7pg3PEoaLY2EWLoBUReCF+JyCNkyyxtcXY+hGGJgY49vgJhJS89FduZHTNMDOH5xhZPUx1tEJttoGmCwbGqyo3QUom90+TKzpsvmQDmq7RXGqz/cot/OxvvYST+6bw2j7tWofHbnuyL84B7LzFyeOLfOMjd5CmkrF1I+y4agsjq4ee+iL4IesHedCfi/WDuOenV+970/d9DMP4qYQRPmfqbAf9Wam/+Iu/4D3veU9fY/bhBcBjjz3GBz7wAd7+9rfzl3/5lz/S4z8nr2iRhXDAT9/iYmSIrSiKCAKfYrFEs+P3f95oeXzs3x/kyQOzpFKydsUAb/i5S9iwerj/GCcml/mbj9zF7EITmUrKpRyv/bmLOXfrCvYdmSdJuhiGxsXnrGbHasGTB+dZWO6wbcs4M1N15udbBEGM64W88qZLufKSDXzt9t20Wi75HFQ3jbC86NJqeqDBW95wFS9+4Tl854EjuN2AsdEyiZDUdZCB2rYfXO1Q3TjGxjXDfPH2w3hJQpJK4jgl1SXEkmbdxRrIsXPrBPfctR/PD9GMjPoQ9wgYKV47ZHxjFXOxwxOHfFIJlqnRdSMkMYWihe9GjI5VePHVW/jnv76dxdkmlmOQZl5fA+Vjzxdsfv51l3PP7fuYO1nDLtg4tkl7ttn3yOqmYGRViTXnjPHJv7ybOE4oVnJYlklnvtnvxuZyJtsv38CDDx/Dr7tKqFg6mpknrHchSdA1gZO3WXXOKman6iRuiNCVAJNINFOHRKLlLdIoZXb3DGkQI71MLAkVJCN0HZkk+G2X5ZM15e+VynLSXO6QKzrYORMZJ+iWycBwicOPHifyIwxDI45Tgo5HvlLALmQ2Ek0jX7SZfVIFuVi2ThAYpEGIDmimppI5BZTHBpjedYzYD1WnOZCQZAmauhKKMkkwM4qLW2+rRNdsFyeJFJEkybrJCLAKObp1hfAjE5JSgkwSpAS/2VXR8rryOneWWv1rXjN05bmXkuUplRSaJhIrp6LpBUqAa7pGcaRCY3oZr+Pjtr2+J13TNeIgynzcymueorzeaZISTNfULlTG9FavQ8ZZB/yOr6wXUtJtuv0kzTA7Z4JTH749gYdU/vREqCHSID5lnzm9vjuF7rttMpDx7bNFyOkednX/3tCo7IHw+2mnaZxSHMgTBiqhtTRYVMIV0A2t/5iaLkhjiLw4o7EoC5mZU+FTvR0Bmcr+e0JKid/1SWNJe7mjgo2QGJaJnbfQNY12vYPX9akMl6jPN0liJajTNOjPQtg5i9JAkeZSiyROWZ6tUR4pMTBWZurALAcfOEKSqr/btAzOuXYrhmmwPNMgCmPayx3KIyWaobK9PHnPfhXqlaTkSg4rNo0zOK4oLFMHZ6nNNrjp117Abf9yN/PHl9B0wcTGMbyOz+aL1nNy3zSNhRZ2zmb26Dwrt0zQbbr9BFinYLPlko0ALE3XOPDgERoLLaoZ3vbEninqsw0qI2WK1QL7HzjE4sklXviW66kMl3/g98QzqafyoD+XLS4/Sgrov/zLv7BlyxZuuOGGs0miZ+unVrfccgv/+T//ZyYmJnjzm9/M+vXrecc73tH//a233sonPvEJfuVXfoXrrruOV77ylT/0czwnBfrppev6T5WDftn567jnwYPUm10GqkW8UBEQrrl0A1JKPvqZ7/Dwk5OUizaGprP/yDx/+7F7+a+/fRPFvE2aSj70sW8xNVNnoJpH0wT1psunPvcQf/J7P8NSw2Wp1mFsuMSWDaM8/NBDtOd9NTCma6xeO8TYRIWl5Q6WZfCyF5yDF0Q8vm+KxVqHctlhdMhk07YxGk2F67ru2i0s1Trc/e1D1BouXT+kULCxizahGSNSSVQwKDkmex+epN5wVViPpSv7S5oik5RG2+Oi7eM8dt8RHnn4uBJjqWJkS5SQ0E2Nc3dOILwme79VI/CVdUdokCsYxElKEqZcfOE6XnrTufz9n3yFxZM1JJLAjxG6wCraxImkNFLgVa+9HK+o8Z1vHyIREi+McByT6qoBWgttNEPjeS8/j6Woxjdv2YfvBiSA60XkcxblFVVaSx3GVpXZdvka5usxzcOLynOPQtDphoZezkMYc+VN59KOElrLXcKWB0hkKvq2l1SA0GFpqkaaCiXMXS/zHfT+l3kmhKBT65LoJknHJa61IIgJoxjHNghThTDMj1U4vntKBet4HsFsHRkrqF4gJcKx1CJnoMTyiSUlzgs2lqFj52y8pSZpHPcTJPViHt+PiAOFuEuSFDvvoBUd/Ga3L3yEaZIfG8JbqGWdUg3dUMODPfIKgNRUp7s6UVWYRqG+aI2sS50AsRvQWpAkWcKnppmnuN49/0jWlU6TVHV3Mz5870tXJim5SoHOUhOZphiOSRJkXmlNEHqZVSS7fXGgSLeh7E5mLhvGzGgegadmEmSsyC9OwcbvqKFRXdMUGeV0r4jMCECZJ7tnFwH6IUOhF36PVUQI+oFE311pkqqwq5zd9077bvCUnSd1jSmeuqL1xIhMwLUW2/27dbI00J7A1jIUaRqrvzPwgr4vPUlSkk6AaRukSXzG64AA0zHOINwk2flK9ZQojLEriibSbbgMrxpicMUAnXqHNJHYeYt2rdvf+YjCCCtn4bY8Qj9i5vCcskNlWQATG0ZJ45SFyWX233+YS246n8HxKvPHF4iCGLfjkQQJhmFQHSszOFFl9sgCoRdx4MHDXP6yizBtE7flcd/nHyD0YwrVPFe/6lK2Xb6Jfd85xLc+9wAAgysGcFsujcU2zcWIOz55L07B4YGvPIaVt9l66cb+3zy8cpDznreDR2998v9l77/D5TrP8270t/qaPrsXYGOjd4JgryLVRXVRzXEk2zIl2Z/iz8dW7Piijq58jpPjxHKi2HJk2VahZce2iiValRIpiVWsAEgARK8bu7fpZfX1nj/eNQOATWxyzqHwXBdsAVwza2ZNu9/nvZ/fTW1J7g61qm0GxvoY2zQKQHEgz+SRac4cmGbHq7c+y6/DC6vn6qC/kgT6D37wA44cOUJvby+GYWBZFqZpYpomhmFgmia2bXf/bhgGuq6jaRoDAwN85jOf4Td/8zd5zWte86yLmgt1oV7u+sxnPsM111zD3XffjWXJ3bWPf/zj5x3zwQ9+kMnJST772c9eEOjn1rke9H/NDvrOzUNcsjHP4TMOzXaAaejccNV63vrqbcwt1Tl0fIFiziaTli+oZeoslBrsOzzLdZetYXKmzNRshXzelsODQG8xQ6nc4sCROV5/w2YAwjCiWnMQQmGwN42mql37i2FoBHHMuuECR47O86NHjvLkiWliAY1WgOOXGfJz+G7IFZesRlVV/vYrD3N6poxhaLhOgO9HZDImmlDI9qbZuC5Fc97n9HwDLa0TN/xumIuuqghb57Lr1jFk2tx5/wliU0UxVEQQE8Uxmi49v5suG2PbeoPv/FONIIhBUySJwg+JnZDxbSsYGMrz8X//Jj7/53cxP1MhVpDhLwmfW4Qx5lCWG9+1E8XW+N439uBUXfAFKALH8RGmgZo2Wbt1mIuuWctf/fkxFJfEIiO7qi3hYWoaVtbm4htXc+TgMqWpOlHCXyaGWBFoGhiaSqo3S/9YHwe+sxe37iSpjWc7jrpuoGsylMb3QrzFBkHbkzpO1yCQnHaZ3CiHUwMUxHyJoOHKQVUVRBji1loMX7Ka3pEezhxfoLXYwBAhzZlSYluQA5xBy2XFhmGsgR7mJpZpLdUxbR3LlJ7zTM4m9DPYGZPsSBpCg7lTSzQXa10WeBzF2BmLwPHRbIuxKzZQm6/SmC3TWqoikiROQYyZRL0rQLqYobBigPLEPG69zeKpha6VRtO1s0JfUUgX0+i6hlNt4rc8/NbZuRBVkz76jijMFjM0Ki0iPyJOBjoVVSHbl8POpXBqLQzbxM5YtKI2sXN+wqaIBPnBHIZl0IwFVsaSXXghyS+BF2KnLYIkmKc4mCfwQtyE6iKEkN33JMCo0JenVW+hGzpW2gTlrCDudOsURSIVDUMjSuwriqrIGRjHl+L3qZU8Zt/1pZLv2HyeLY8o8YUHYdC9rWooeG0fVdckL13XJFs8pWJnLZyGe865BZ7rdznymqmhoBD6AelcitAKadWdc4Kh6NpyFDUZBu7Yx1R5O8dxu1ay2eNz8vsgGSq99PU7OPDAEUqzZWQKbUA6n5K2ICdgebrcHeSVcw8qud6s7Mg3XSpzNbZev5F2rU11uQ4+FAcLVOarGJZBOp/GSluIlkur2qYyX6U0W2FpuoRu6gyu6qdZanFg+giFgTzj28bYdcdeKvNVikMFBsYHKM/XpK1qfIChVX3USw1+/Hf3UejPMbxmsHvpL7/pYkbXDzF/WrLX999zEN08+/PZea3b9fazvHgvvJ7Ng/5KE+hf/OIX+Zd/+Zcu113TNDRNQ9d1ent7MU2zK7wNw8C2bdLpNNlslkwmw5EjR1ixYgXw4jrwv5B1weLykmvXrl189atf7YrzZ6t3vvOd/OVf/uWLOscrUqCfa3H51/Sgh2HIE088zvU7h3jPW8aJSNHfm2F0sACA4wZEsRRyndISQeB6UohMTJWoN1wq9RjbMijkUtjW+S/TA4+e4Ds/3C874CLgVVet5qKNwzx5bC7hogNezJOPTvLI3cdpOh7pnMHYWC/LS5IzPjtfY+fWlbzzph0cPjbH5EyZVSt66C9mmDi5RLvt0Wr6XHLxGL/5kRu5774HuffAMgP9WSJNUFeaRO1QDjj2Z+jd3Md116znf3/2Xhw/JFYgzhqoXozwIoy0Se+6XjZfWuTwkSrNpg+6QhwKvCBET1JHnbbPzp2rePSxUzx4z5EkRVTpdhuFqhC2fdaM9XH19nH+7FPfp16Wlp/ADRFeiJ4yiPyQYjHNu99zOXfc/gTtqTqWoaEpyIVB4onVVBhZPUDNC5k+voxp6GR7M4gwwqk6EMXoqo6ua4xuGmL3oyepLTXIZG2MrI6mQGu5kRwntVVxrI/FhQZ+3UGzJOvbyKcJqk1IBlKFENj9edwQvJqDqstYe01NhiDDiJRlsDxZJm4HhEGIt1xJOq1awuYGBUFlqkQ6UjCEwAf8lo+u66QyFpZtUA0jRjYMszC9iFetoysCL46lN9tVMFJm19aSKmRoLtVozpSkVV5Iko+IYzTdQNWkp1hRFfSUzfKJGUIvQFElZztMuPMKJN1v6Z9WFJXKbBlFAVXXE/904j9POqggrUKu48kgKOWs9UUkqaxuQy6MzJQpqSvn/NCcO+TZKDUxU0aCKpQ2CzNtSY80YGZMwjAiCiIqC7WzqM0E/amoKgRSdIdRQBwJvFAOPBopI0m2jbuCvjtAmlwr34mSgVcplEP/GQS6Iv9PdI6dRVGVsx3sp5SmqdJSdM5/CxPfua5KK0sUxqi6SuiHpPNpHOGedx8dcS2DgSKZcqsoOE2PXG+GMIwRsVyIRXGM2/S6/vU4ijFMAy+SAWMiBqfmoioSYakZGoWRHFEQUV9scuDhQ/St7qG6VMN3pHc88IMuOcfO2hT6stIWE0TMnlxg89UbyPZmWTi1yOGHjxOFEYEbku1Ns/nG9WSMDLt+sBen6eA0HAZX9TF1ZI5Wvc1jdzwhr6WQi7zxrSvpGSqwPF3m0E+P8v5b38E177qcPT/cJ5nnpk7PcJH+lb2sWD8MQK4vx5mD05zeP0muJwsKZAppORu0YYQVG0YAaFaaHHzwGMWhgpwv8ALiOKZ3tOfpL9yLrGfroL/SMIszMzNceeWV7Ny5k3q9juu6+L5PFEXceeedAAwPD5PJZGi320xNTVEul8/rlg8PD/+ffAoX6hewarUa4+PjP/O4dDpNuVx+Ued4RQr0TskI8n+dDnocx+zdu7e7PVfIWqxcOXreMWMjPfT3ZJhfqjPUnwOkJz1tm2xcM8jpqRLf/NF+IiEHBFuxLwf6bCnUd25byb6D0/zdVx8hCCKyGYtKtc2d953kIx+4nku2jjE1V8FpevzkBweJY4HELgu8Zkjkhmy/eCWlcpMgjLnlg9fS35flh/cfplRrIxToyafZvnMllUqLVjvgI7e8inze5thEnaVSk7Yr6QdWwSbOC/xWQHZdkVXj/RzZN8PUdJkoiLHTBugasaoSawrGYIaVa/PMnary5BOLhEGEKlQ0VSGOwY8jVGDVql5yps5f//c7adfcxCvcGXKT9oVsIc1vfuRGvvjpOykdX0IgCBXJXhamTuSF9K8o8v5/czWFnM2he48SOz4d3LWiKghFRxAzuKaAtsLi2JFFoiDCUxV0PyQ/VABVxW96DI/3YQ/m0Itpmk9MSj9zEKIZGlYuRRDEaAhWbhkh0DRyPRnK8zW8BFFp6AqKoaP05BBBSHa4gJFLoaoKwclFQiEQQkXvdG81BRHHzJ9cJD9UxFRi1CiU4jepKAnlQYDXcunLmMRtB+G4xEGIE4WIOEuj3EQ1dXRLp7nUIteTI2i7uMsuIgjwg4DQD0CVojQ90kNtYhHd1LHTJlEYk8r0sHh6gTiKcBpSaFqFLLqpEvkBqqmjIO0TrWpL2lrCs2m6g2uHqC1UpWBNeNkiivFDaQnpeLkN26B3pIfSjLQ0qaqaiD8pAN2Ei915DcOE5tL5+7lpP3GCXVR1Fd8JkuOlzSfbm6VVaXURkZ2dGVVVz8FHSqFnZyycutcdtCSWoUGGpeO1/bOEFiSmM/JDOTCsKShCfvb8JI30qQNwSuKFl3/hLBJSoSuKz/+OEU8T7h3Sim5I60vgh4hQYKYN6suNZ/yukos8BSHk89UM2X2vzFUlWz4JOsr2ZPFaPiLZ9YlDuRumanJx0llYxMnjT2VtdMWgOFTEq/u0yi5rduYY3TzEzJF5Qi9EM6WgCtyQOIwI/BDTNmn7TncgM3ADeb44YmCsj2alRbPa4swT01z3jqvI9mQoz1UpzVUxTLmjo2kqxcEC6XyK5WnZRT+x5zTbb9iMnbFYmilzx9/8GKfpsWbnOINjfYxuGOHOL97dTbHtvCaBF7D7h/s48MCRBAO5imvefhmZ4tnBzK3XbmTxTImpIzNyrkSB1RetYnzb2DNe8xdTz+VBfyUNic7MzPDHf/zHfPCDH6RWq8kgMUXhox/9KB/+8Ie56aabGBgYwLZthBAsLy8zMTHBD3/4Q06fPs373vc+tm/fDnAhvOn51oWgopdcIyMj7Nq1i3Xr1j3ncffccw+jo6PPecyz1StWoHfEwb+WB/3IkSO4rstVV13Fk08++YyLAtPQ+MA7L+fzX32I+SX542lbOm977TbGRnr4u9sfo9502bBhkDMTJTwvIAgjLKFzy7+VYvrr39mD6wWMJF35OLao1jwe2nWKT378zVyzczVf/fpjBGFEIW9RawSySyagtNBkw/YRWr7JYDZFIWPz9Tv3svvoNI4XMLdcp1xvs3KwiBdGjI4WMHWNv7ntPk6caYACtbqL4fhkczaOE2CnTa67fA2VyQYP7DuNaunEgY/nBDKVT1MINIWNW/qxQ5f9B6sEikA1VOIgRigKuilbzz1DKT7wwWv440/cTrPuoqVNRBAltokYVVEwLYNf+dhr+Ondhzl+YEaKPkOT2+RhjGYrZEbzfOzWm/BqPp/9/3wP3/GlAFLlwCqR9MXf9G+vYrnd5uS+WdoLbUQkI98bUYxn+ii6QmEkz443bmLPT0/jTlVwqk4SAS+7t4ahYaZNevqzpIZ7qB9fYPn0MqEbJo8pAl2T4TaaQmjqaPkU7YU6fsuX6aSACCMwNOkFjmN8V6CZOstHZ/BbMpUVVZU2GSWWHdCkq2nn0lQnFmguVhOruyBou+imzujO1VQqDhOH5qTlJAgon57rDhiKWCDCkMJoH75q0Cq3UESMaZn4XoidMQn8CD1tM759jDCOmTuxKDvabY9YCNRYJGmcQYIKNBm7dC2Lx+ZoV5tU5qoEri93D3SNTlCSqqmkcimKK3qZOzZLGEQsTZW6dpeun1sFRSiYtkmMIHACGon47PDNIdHn5/ino+ApoTwB5Ptz6In9xkoClJTEytI5VvrFBXbGSoacSUSp6M5SgCR5BMkAq521QYF21ZE7WImWlnx0Ibv5qkoYhGiahqopkp0vAULyYXc97Spm2pBv1SCWQl0RRP4ze18UIAxChAdCJEz28Nl8MrL8ZKHTsbuEoXztdEOTpJaWR+iHFAfzVBZq3V2OKLG1RVGcICYNUKT/Po4l1SZTTJMupGlWWhy85zihH6JrOtmBNJfetIPDjxxn/sQScRzTqrexMiao4HvSS97Z/UzlUqzasoLFM8t4nke75tCstNh+wxYeuv0xuUtiG6RyNm7DJd+fI1tMU0t46EvTJVq1Nif2TuA1PdI5m0wxw/zJBdrVNpuuXM+6S1ez6469ZHuzGKZOfblBea5CHMeMb12JEIJ9dx/Aa3u85Tde131svSM9vOFDNzB5aIZWvU3PUIFVW1dipcznvO4vpJ4Ls9jb2/uynef/dN16663ccMMNqKpKT4/cgfj85z/PqlWruPXWWxkZGXnG2/3Wb/0W73//+7tWlwt1of41641vfCO/+7u/y7p167jiiiue8ZhHHnmET3ziE7z//e9/Ued4xQr0TnU66D/P6e4zZ84wPz/P1VdfjWEYMl77Wbr2l2xdyX/+nbfw+MEpgjBiy/ph1iZoroXlBrquks5YbNoyQrPpUq21WTFa5Nor1uL5IcdPL9JoeYilGrmMjYqCpqnUk/juesNh36EZGg2XtuORy9qkLEGz5aHGgsm5KpqqIkKf//CJb7BUadI3lGPFSJHl5Qbtls/JyWXWrujFDgV/8PGvUKm20XSFvtE8zXaE4/jUKm1Wrezj37zvClav7ufT991Fb08GXxE4ahu/5RH6EemcxeDGXtat03n4vjpOECJ0FZE3UZsBwpfpm8WVeW54wyjf/M7jLC/VwVAII4GWt8EJiIIQM2vxzg9cQ1ODe++SOwSdlEdVU0CFqO1z1bXraZddvv3N3SxNV7p8bSGSaPs4RosEW7ev5Iufuxe/0kKLJRo8DmNUXcM2DUQUMb6hyL7dx5k/WUKLIghjVBEThwKE9HqHYUR6KM+pJ6cJ6g7ZQgorbVJxfUJfYg4RMVEssPryVGeq4PjotoFq6YgwJGp7iDgm9GTXXcumaCw3iJoOqqGjJxjHoNZESRCGCIFiGPhCwV2sgaJiWBphEKOqEDoerVITEUgqSeSE1FoVSPj2IpYLJQQ0FqpkRvrx2j6hGxILl3xvllTGojxfw7QMCoMFJvafQY1jAi+g1Y6kBckEwzYlBQWw0hblySXcRhuQg6Ey4j6Jtw+TQCFkyujiyQVEJM4GHnEWVxXH8Vkik6lJrz4dZJ/ossK7Qjz5f6mMjds6iwLscMK9tn+2QxvFaAlL3veeHlLktjyspKMtohjDMiT+khAhwEwZUhjHgsANsDJW8lhIOvN0ffi6aeC1XKKE0GKlzYRUEyZhRHQXTJouF6+dx6QoCnbGxPGfOc/BSls4Lfes1ecpYUxPre6Qa1Id3KRpG5IoI+Tr5DRdeldIzKf00cuFWHhOeFMURHKhoii4LZlWunhmmTDBYqqqpKf4bY/l2QoT+6ZYu32c8kwV3/GJ/Ag38iCWQ9bZ3jSpok1pqkpprsyhx44wuGYAzVRpLbbZd+9BPCdAIFi5cZgdr9nG8nSZ/fceolFuUujP0TtcZP70Is12i/u+/jCe42PZJsNrBxndMExxMM/koRlO7T/DZW+6mKXJEtNH54ijWCbYZlNsuGwtdjInpJs6k4dnWJxcJpNPk8rZaLpGrjfLtus3Pet1fiklhHhWi4vjOK8oQfqxj32s+xnvPOfPfvazfPrTn2ZkZKRLAuoc0/le0HWdT3/609x88828973vfV52gwslS5HjWj/3c7yS65Of/CRf//rXufrqq7n22mu57LLLCMOQz33ucwgheOyxx3j44YcpFArceuutL+ocr0iB/lQPOjz7duFLraWlJY4dO8bll1/e3Xb8Wbaagb4sb7phy9P+fe1YHweOz8mhSlUlm7WptTw2rR0iimO+/M1HmSs18P2QWj2m0fLIpXSCIGb75lGCIOJzf3s/E9MlYiGIQ0G17pBNiB59Qzku2z7Gyf1zHD8haRtxLCjN1Sn0Zti0dZRKuYUbhKwd7uHh+47hhyExEPsRy9N1Nl0yhh9FNFs+H/7169mwfojv3/Ukcws1cjkbS9cIey2sokW75tK3qY+hIZVa1WJ2qoaIBEbKINQhyhvga2T7s7zm7duYPjbBk3smCb0IzdQQqkoUxyhpE12YXPu2ixhbO8Btn7uHZqklbQm6JruakUARCpmMyTvfupNP/6dvM3tySZI94sQOoshOvaLA2Jp+yvM1aicWiL2wiwpUNI04iMikLbbsWMl7f/1a/sd//DbRYqOLw5OiUCEyNbw4ID2aRSnotCrNpEEvMAydzFCB5nJDDs2lTQbWDiIMjfr95S4WUNNU1EKG2DIwdAUzYzO0dpB6w2PmyUmIBYaZRNtrGlZPnsjzyQwUSBUzNOsOzpKkmhi22XV56IaO3/bw2x59Y/0E9RZtz8f3fHlMIlg1TdochBAUBvI0SjWajRi/0aIWhDQrUoSObhhhaXIZt+GS6ckQBCFh26XhegQtj9DxEYBhmRRW9LJ0Yi4ZotNJ51M0Sg0CN8Br+11SSLqQke+tSFpRrLRFFEZSWCd+6k43PJVLnaWSaKoMXhJSHCtJC7oj1k3bkO+fJomV46zg91oedsaWUfRRhKEb0tbyLD8mknaiyPdhGMkBX0AzdZyGh6KoqLq01ARu0B267SSBdnYq3LYLIiEaCbo+fqnNE7zhOV76wDublKoochBUN/Wne9kVcJrn+8yTf5ZBSw3naf/hXHHeLQGKpqArGqEfyaRfETKXMPc7/HU7Y+G7AW7TQ9NVOS8Rx90FSX250WW6K4qClTaJwohcf456uUlprsL6y9aw+ap1HHroBKEvr1mmJyOfo2ZQ7CkSNCIalSaNpTYjG7Xud1WtXCPblyGMNEoLVY49fpJ1F49jZ2xatTa+G1BMfOeRFdM30oPnyNmBE0+cxspYjG0eRVEUDj98jNnj85i2wdbrNzE83k/gRzz0rV2Y9tk5IcMyKM9VueNvfoKiKuR6s+y4cQsbLlv7zG+al6HOhRw8tV5pQ6Ln7hJ0/vfMzAy2bQMdetHZYzrvrSiKGBgY4NSpUxcY6BfqX73Gx8f53ve+x3vf+14efPBBHnroIYAu81wIwfDwMLfffnt3iPmF1iv+Xd35gnu2bsRLqUajwb59+9i+fXt3aw4kYWPvkQV+8OAsURxz6fYxrr9sLZr23P64G69az+MHp5hZqElkXywY7Mvy+us2cezUIvsOzzC2shclhmbTI/AjKn7ImrECb37dNg4eneX4qUVyeQ0ltmnVA8IwptHw2LRxmD/4+JtwvYAH7zxCIZ9CAC0/RFMVGlUHXVHoG8mhaRrH9s7iBSERkiwhVIUgiFicrTK0po9iX5bxVX187Tt72H9wBj+MWFisY6UM8nmbluNj5yzGRy3CcszuiRmErhB7Ib4jMC0dVdUIVbj2ug30mxZ3PrFMJNSEZx2iGiqGqRN6ISOr+nj9m7bx5//l+1RLTay0SegGxGEkCRaqtBC99h0X8+1v7GLi8JwMFMrZuKVmV5irClgZi3WXjvGtLz9E2PJRdA1FlxQNwohMf5bf+IM30Wp6fP1/P8rMwWliP0TRkzCiWHqW+4ZyDF+9hvp0hcWjS4gEK1mrtDAtDV3XyPRmGFrbT6Y3y/KpZVoNV4rtMCIOIlQUUmmTUFPI9OdZuX6Ik09M4LV92SmPpe3GsHTZRW24GNk0feuGmD843bWOCCHj2Y2kKx8FkkWeyqWY3nMSvy0TO0Ucn/WCqIocChQCO5uiOluitSgHUUUsCBwPVVOwe3JEukFrroSRcMHbpbqkj5xjK1ENHbsni5pcH6Fp6KbWpYzoNoxuGqU8U8Fvu6QLKRrlpvTpW3rSwZT2HU3XyA0XqU6XALr+cZEsfqIwktH1csgCO7E5RGGUeNO9LsqSWO6wyKcuCHw50Cci0e2mP1uFXoCiqfLYKEBR5LniSGIYNVOXQ6xA4AXopobvxF1fs6IqGLZB6IXJbEGn0y+xkXbGIvTO0n1UU/rIoTNDqnS78qomxWG74XRDjAzL6PryO174BAhJFEVkezI4DaeLCxXIhfszle/Ixy9xlNKTH4cxuq5hJMFHTtOjf0UPc63F7m6H1/bPJq0qEsOp6RpO3cVpuhiWQbaYIVvMUF2ssfsHe/Fdea7iQI6r33EZx/dMMHV4miiMughDpyF96QfvPtYd7h3aMMqqi0Y5vX8Kp+kyd3oBe8AgNWTQqDeYOT1HJpcmP5BFVVXWXbKa+VOLLJ5ZRsSCuZML9I30MHVkhkJ/HtOWXfLqiXnyvVkufu1WDv70CMvT5W7o0MSTU1Tnq/Sv6KEwkKcyV+X+f34EO2MxtvnF/fD+rOo0eH4RKC7nVmdROjAwwJe//GVe9apXPeM16NhX77rrLlzXJZvN/ms/1P//rgsUl5elrr/+eo4ePcoXv/hFfvSjHzE5OQlI8f7GN76RD3/4w+TzLz4X4RUv0Dsf7jAMMc2Xzx/oeR579uxh9erVT/PI3fPYNA/smULV5OXd9eQkx08v8eH3X/2cNpuB3iy/9+HX8tM9p5ieqzA8kOe6y9cy3J/n3keOE4Qx+VyKTZtHqFRaNBoujuvx5tesoa8nw133H6Fca5GyVPpHigyv0KjXHPwg5P/6jVczNJTn9u8+QaXSwrINMhmLlGnQcmVi6PxinXSvzcbBPvbNVPDcAMPSMXSNIOFRl8ot+lb1sGFlH//9T77PoUOzZHM2Q31ZSpUWbjug4keMDhdYtybL7KEljh8sS5qHraHbBoEf4bUDrLTB6s2DfODfXMOf//fvoyQhQFrKpDHfIPRDIiJ6BnP80kev55+/tYdquQmGSqCCWbAJGjJR0MqYXPO6LThpnd0/PIgQgjAWxBpYPWm8moMQgr7hPCu2rWCm3Kax1KBrGEZ2CCM/ImNo1GotfvTdA8RBSNSxCySdWFVTZEhTy2Ph6DJew0FXVey0Qbsht+vzhTSe4xMiWKq3mD65KEkvCug6eF5E5IfkCinclk8sBD4Kx3adJI4EmUIaXVepzZSkkE+ZeC3Jr1Zti7mD04Su5JhrqkIrDIk9X9pJEmydaltU5qQYNmxTDk2aOlHLSYRi1xOBkc/SXixL3a6qoMmUUL/tYeQyLE+XiJptdF2VlgbvLP5QS5I+4yDEqzssJ0JZNXXMlImb2FJ0QyeTT1OZLiEiQX2xLsWoEJh2R2jKxYFuG7i15HGqSleEys+z0h2OlEE1KYKEp62qiW89lvQYEckFZkecG9bZjnk3lCchnzyjbzs5R6eEAK8lu9kdK45hmwm5xcd3zrfKiGSoVAiBrumQ9AiiUD4G0za7wU6arnb/3rGHdDrHCGllcRuufDxK4os/j7muJB38xPIFtKrt7s5CZ7HyjKVALGJ852yya6zEmLaZ7FKAnTZxWpLqUhwo0Ko28T2ZfCptMwEoMgHVsk1J/HECAj+kulCjVWsjBASBHP5s110alSbH90wwtLqfmWOzBH5Is9rCaXlyTkFV5WfB1qjM1pg/vUiuN8uKdaPMHJulXmqyeKiC7/iMrh1k9WXjrNg2wMH7jjH55Cxzs3NgKqiWQm2xSavelp72trQLxVHMwFgfqazN5KEZtl67kavfcRkP/csuJg/JGRfP8egf6+sSXLLFDFNHZzm59wx9o9ILnk4Cjl6u6gj0XwSKyzPV+973Pv7kT/6EfD7PzTffzMaNGykUJDHHdV0qlQpnzpzhd37nd7j88ssvCPQL9X+sCoUCv/d7v8fv/d7vvez3/YoU6OeK4M5K++UkuURRxOOPP05vb+/TJniXyk0e3S+7t4NJolyz5fHA7pO88VWbWfUzMFx9PRne+fqLnvbvvcUMmqp0Wef9/TkUTSUd6vQULB58/DQ/efgwjhsQRBqOX6OvJ4NuaRR60qwYKXDnPYf40f1H8MMYr+7SbHnkczZpw8AjZPXqfnpti90PnyZG/kj7XoiuS9pKpCpk+tO86vK1/PBbe1lcrBOGEY1qm3bTY/XmIfxY4Pkhr3/dWu777j4mjjcIQ8k4jloBIojJrSrgNDxGtg3y/ndezq7dpzhxYonQj0mnFAJNkF2Zp7ncojCc4zd+67U8/MhJju+dIfIjdEsnFhBoKkZPGhHG3Pyh6xAa/OSOJ2kttaQQUQVhKFANHTVrke+x+cAfvJGv3fYwrVIL35UDgggQkeRxownGVvex+8FTzB6Zk13ZhOzR6SyrmoKuq+R60iyXGoTLkncuEsqMiAzclo9i6qzZuZKFyRL1Vg211ZJ2hOScYRhS0xXMjMXQ+kEWJqp4NYfiQE42TjWN3HAPbrVJ4Idk+3LkhovMT5YJ2nKHwjAk77x3VT+12QqarpLK2Vj5NJWKi1euyaFEVUWIEMs28aIIBcj05QgCibHr4AuVhJajG3o36t20dPI9OaqTAU6tRej6XfKKoqpn6SMoZHsyWCmT+ZMOQcul5gUyVMjQGd4wyvzxORSkpSHfm2H+9CJ+O6JZaQJSNJuWiZmxaS7V0QyNVC6F2/aS6HrZ9RYIVFQ0Q8POWFSbLrqhgwrCS7zr6tkmjhACXddI51PUlurohkwqRaUr0s/FNErbhRx0lH8/C4mJo/OPlfhP7VyIzPnfFwkyUiTDtEIIQl8KbKfhdC04URjju/7ZgdTOsGliv3KbHlEUnfXiRgL0hE+eBCF1rBHn+tBlyFQinDNmNxzo3ErGJLrPVRJmhLQpCUHgBWSSRefSdEm+BkI+n3Q+jWkZVBZqySJXhrOZKQOv7VNbrFFdqCWLWym4TdsknU/jtlyWZ0qsu2ScNRePc/SREzTdAMs2SOVt3JaHaRnYBZN2zSF0pe3m8rfsZP70gnyPRoKxTaNYaYvaVINLr9/B4LuG+c7UD7H1FEZKJx4VVBfqRHGEnTYx0Kgu19jzo71c+qaLKA4U8Fz5Htt23SaGVg8wd2IBRVU48uhxqgv1866XiGL233eYuVOLqAqs2DTKJa/dfh7p5aVUZ0D0mRo6rzSKyzPVb//2b/PDH/6Qz3zmM/zgBz9gy5YtDAwMkEql8DyPEydOcPfdd5PL5fhf/+t/XQgnulD/6rV27Vp27dpFX1/fz+0cr0iB/tR6OVnoQgiefPJJFEVh+/btT/sCnZ6v4gURufTZS5tJmywsN5iaq7BqtAfHDdj95CRzS3X6ezJcuWOcbOZ82H211uaBR08yO19laCDPNZevYePaQQ4dn8e2DKJIbnFffdEIiJjv3r2fMPIYGspTrTqEQcj8Qo3B/hzvee1WoijmJw8cxbYNxtf0MTNZJgxiqtU2vT0Z3vuuq3jH2y7m//nP3wYhGFnVw9TJZUSCq9M0lcJQhh3XrWVxpsrSUoNYV4gjQJX2iqXZGqu2j2AZCpXFWSZPN4kV2QGNhABNQQQRoROQ68/w9jdezNG9Mxw+ModQFVwnQtV8sgWbKJYR3m+66SKWp6rsfuB4Eskuu6m6qUtedSRYs3GY66/bwB994hs0aw56ypTe80CKeU1TMWyDsS29/MNt97J4vCpTUFM6fj2ECHRLwzQ1MFTsvix77jmKV2tjp0zMbAq32oI4xrD0JDFUEJsG7dMlYsdHM1QUXZVUljBkYP0A/av7KE1V8asecaNF1HRQNBVUBRUpsHpHigysG2RhokTk+kRBRLXcxLR0dEMjlbeIhOCiGzdRW2iwNFVGTegtfttHSStYtolp6qiWyfbXbKVRarJwahHFlxagOI7RTF0SSRRFcqIHC6T7CpROzSF8mcYpBWcsH6MCcSiZ7bGA8skZvJabxNDTtbYonY51Nx1VsHBqPiHvyNdbURXSvXmK/TlKk4vopoFh6pTna5Kw0/1wyT/FkSLtpkccRZJ37slus5WyAIGRtnFqrSSF08RpSsqNZkiSjGYknv1YYKZNAscnTgKL3Kab+NHlKbUk7VTePrGrJMIz9AIZRCXke7gzxAl0vdNuy+0KT1VLPg/PUJqhEvhB0mUm4a7L94CS7OIoqpJYfOQgZuSfvTPDNrr+c1XtXPeIOBJkezO0a87Z55Ew3UlIOd3EU1XBdwN6hvLUlhrdYc9z0087XHdVUyGOcJsuud4MnuvTqEo0pe8GqKpCKpvCa/u4LY/ekSLVxVq3o++1ve5wnxACO22hmzrtukOjIi1qw2sGyfRkqM5X2XPnPtyWh25q9A32cNkbd3B6/ySTh2fw2j5aSpXe8skylYUaD3ztEXwvQFVVhlb3s2rLChRFYXFymQMPHObdv/dWtl2/mWO7T9JcbqEaGn3DfQyO91EcynPyiQkCP6BVb3Py4GlUAzRN58zsBC3RIJPJMH7JCjKZDHEU88A3HpUBULaB2/aYOjpHoS+LuX4IIeDQQ8fwHZ9X//K1Lwvq77lmpl7JFpdODQ4O8uUvf5k///M/5x/+4R84duzY04659NJL+a3f+i3e9KY3/R94hBfqF70mJib4+7//+5dsY3muekUL9HNRiy+XQD9+/Di1Wo1rrrnmGb+I+3symIaG54fkkn9zvRDT0OjvydBoufz5397H8YnFrkj48UPH+Pivv5qBXrlNV6q0+JO/uJPp2UrX13nvg8f4rQ/fyPpV/ew7MoNtGVy1czWrh0x27zvG3EKJFcO95LJZlhYbVKttmm2fN752K6+/YTO7908yv9QgkzbJ523Wbx6hVmlRqzu85S07uPmdl3DoyBxT0xUUBXJmisJonlbdIXQj0v02vRt72DDSxw/+WaIe7bSJaWhdH3O12mbYD+hLRxw6KFGLmq6h6zJgJU7weRnd4F1v2cny0SV+cvsTqApke9K4lorvhdRKbQYGslx+zWouu2iMP/nE7bTna3IrPW0SRAqhF6ILncEVRT70mzdy4IlJAjfEzJjYpkbgegROSORHpFMmw2sGsMcGaR0+KrfhFRU9o6GHEWE7IA5ChKWSGcmz2GzgNRzixCZj5WxEHOM1pOVCMTT61vTTs7KHqf1TgETjaZpKrCjEQURjqUGrIbfR7YyB8HxAdGPaRSyI4ojadJlQqJgpk3xvluVam9iPyPbniOKYWrmNYmicPDRJa6GFmTKwMjpOSRB5AWrWJooiSvMtFF2l3XCZOTaHYSWBS3GEV20S+QGo4DVdaTdKpyidnAMEmm2gCYOgJYgDqb5lWqXASJnEQYDf9pKYeQ3D0nDqToIBPDtwmO7J0So1EMmQpGEZXR65U21xat8ZfCfASttYaZPSdKnb4tYNvUtEKU+XiRNfvZky8Vo+iqYSBSG6ZWCnTdx6GxEL2nWJNeywuTv3F0UxqawtvdqJvaVdd9B0ef27dpiENW6Y+lnuuIDQC4k0OQ/REb6qqkJC6kRIEdXZPYiEDP15xlI4H5EokhCnWN6/YendBY8X+F1bzLkVuFLYG6YMFkKBKBQJnzxK5isU0FTSOZt2w5Wdc1VaZcJkoaSqKo1Ku+uRV3X534VIGPyqAhHdYDBFUWiUW+cJeMPSu+/3TCFFo9zCd3x6R3uoLzckHz4hwSix6G49mMnCOXADnKZLvdzAbbrEkcBtefSv6KWyWKddd5g9scDAqn6mj85J20ulhaZo3YHVVM4mP5CjPFfh+O7TWLbJyLohrLTJ3KlFvvvZO3GaLis2jDCyZpDVF63iztvuRVEgnUkxum6E+VMLNJZbLB2rolsaPUMFJh6bJXVjikajQbPZJAxDdMXAHjQ48eQpNE0j9gWmbbLxyvVkk465YenMHJujPFelf8VLRyA+G2IRfjEEOsC2bdv40z/9U971rndx6NAh5ubmaLVaGIbBpk2beNe73sXY2Fh3XuJCPf9Keik/93O80uu//bf/xn/8j/+R97znPfzGb/wG11133ct6/69YgX5uMMjLxUKfmZlhcnKSq6+++ln97CuHi2zfMMhj+6cpVVsogB9EXLJ1JRtWD3LHvQc5emqRgd6sFLdRzJmZMj+8/zC/8i7J0vzRvYeZnq3Q15uVoi+W/vD7HjzORz54He84xwIzPT1NHLpk0ikUzUTTVIZHChR70yxX2+zcvpJjZ5b41t1PUms51FsOpVqLvp4M/UN5jLTBJRevYv+hGf7p9l00HYlHbDo+uYxFsTdLtdpmYEWWraNFHrn3OKVKmzgSOC0f3dAwLR0v9LFyJpvGLPbvWmRqqt4dXERVJMItscK+532X0yg7fOsrj+F5kpfutHw0E1au68d1Q9717svZtHWYP/7dr8lIcEV2+byag5m3iVIGqzYM8rH/67XMz1X58V0H8b0AXTWoNdrY/RnUVoAmFN770et44vAsS8eW8RpJ8mEs8LwYu5BGMQM2bhulsKrAxNEF5g8tJkN4ks0cRdJPbRWzXHTNWhpehFdzOL17sktD6QgaTZOBQ37LQwljgmoLt+Z0j5O4QVV2/xUZO6+qCvWJBZxaK+lAKlQXali5FH0re4hMk8qpRSzbIKg0aS5Uu2K07gdYPRnsYorYtDh9YAotGR70nIDCYJG6SAY+VbALKUJNw2u5KEJgpC08x8e0DVQlhdd00E1NCjJNx8imCFtu9/Ok6Roilp8v3TZQdU1SYGKBoqv4Vb+boAmyi60oYGctcv155o+3aZTqOI12V/R1RLCCglAEdtbCcwJ816e+VO/6s1VVJduTpbFYQzd00oUUzWoL3/VRYoGXWEkUoaDrGnbaprpYxUxZRJFMZ+0I1c5r1vHcp3JyYFUzNBlGlOxSnNuB7nTPrbSJ2/K6nm+RQM9DPzzP+gIdewldC0q3EmHf6VZ3RLRI7CTPVFKYy259eE5Kq9vyu89FQVJdUjmbds3pvgadx69odL3iqtYFPJLtydAsN7sEmo6tRsRxl5Wu6vJ1QoCZ0vEcn3xfDk1zqCzUujahdM6mZ7iH1dtXsueu/cSxRG1GQYidtWlWWtQW61QX6kmyrEYhlSPXm8W0DebPLDN/epHV28cY3TDMicdPEzdkeqyZMonCkGxPpjsAG7ghsycXGBjv58zBGXzPp9CfI11IU19uMHNinp2v286aHWPsvfsgud4MfSNFAjegNFvBMDVWbxsjlU8xuXeWlJninb99EyBnjZrNJqMrRpg4OEV5oUKj2qC1r8FSZZGWl8KyLDRVWs3CZyLkvIh6LqjBL4pAF0LQ09PDW9/6Vt761rc+6zEXxPmF+j9Ve/fuZc+ePdx222285jWvYd26dXzkIx/hV3/1VxkYGHjJ9/+KFOhPtZ28HBaXcrnMoUOHuOSSS55zIEVRFH75rRdhqD6zJflDf9XO1bzjddtRVYVDJxbQNAXTkF++uqZimwYHjs1172P/4RmCMKbl+KRtA13XME2dw8fnu8dMzpQ5cHiW06dPMdSnce2l63lo7wSeH6IqCo2Wy9hAkSf3TvHA7pO4SszYyh7mZmuEQcTcQg2n7XPFxeOsXtXLn/313ThOwPr1g5w+uUQQRFQqbfJZm8suHufNb1zJD+88Sa3WZnisyPTJZUQQJ/YDgZ2z2HzZAPWKy8ycHOQUGR2lJRGGgSutB+suXsGm7Sv4f373qwRRBJpKJEBTFdnxDiI2bB1h+8Vj/PX/+hFLc1VQJcdcSYKGgoZH73CeX/rlq3nkwRM8+eQ0nh8Q+BFBGJLKmmQyKZxI4eLLx9EMnZOPT6OrKpqpEzakl1mzNDJpi8jQGdo8xO4HTuCV21gpE93UZddSVbBTBooQRFHMZLlC+XgVJYoxbR3V0Ii8ACEUsnkbzwmIwphQQGtiGcII1dBQLaMbWW/npG0jjgRqxqR8cp7I8VA0VVougojY9dn65h3Uyg6VxRqhFxI2WoSlurRIGBpREKPEEX3DBUjbNCttvJYnHysCw9BQDQMMneHVA6QHbZqzbRrlFu1qC+EHKIYMUVINjcD1MdM2QztW05haxmu08ept4iCAOEY1DXldErKJmU2R6y9QOrNAGAaye54IO03Xkg6zSD6DGuXpZclvh7O4wKT7HQVRwh6BKDqfNiPimEgICit6QAjCMMTOpvDbPpquoSnn5A4IaRvJDmZx2153CFjEAjNloahBd1jUa0lKTaaYkXahRJiqqoKhG0RhiIjlAKDb8lBVBd0yknlLKcylFYSuSO/QaOIouR/LkDzzKDq/pSTOigun4ZJMIMsB5OCZW1vSAhNJgd2h5yC78aomdwplZ136ss2UIZNAxVmvfOCFXTuOEPJ1Cjxp3TBTJp7jn11gdK5HcqyqqghV4HsBqXwK4YU0kyFU3/HRDJ3eoQK15Qa15TqqJgeK23UHgVw4iFguSqI4sb0YOu16m+pinVTOZnjNIPVyk9pSnUfveAKn1sZMmWQH0my6Yi1Lp8rMTyzRqrUpDOTJ9+dZmFhi7vQila/UcJsu6UIazdDI92XJ92U5c2iak09McOkbdjB3apHZkwvdXYriUIHt18u0UZBIxclDM8yeWCBTSJHK2vT399Pf38/6jesBaNXbfPuzP6BebkBGoV5vsHhmCSNtcPTMERab82Sz2W6ATjqdfsEZHM9lcflFGBIFup3x57p2lUqFXbt2XbC5vNC6kCT6kusP//APKRaLvP3tb+ftb387CwsL/O3f/i2f//zn+eQnP8nb3vY2PvKRj3DTTTe96HO8IgU6PL2D/lIEeqvV4oknnmDz5s309/f/zOPTKYtrLhp4xu2OQs4mis8PXgjCkGJCAXjo8dOcmFym0XJpuz6GoTHQmyUMI/r75MLgR/cd5hvffYJavUUUhaRsnY/8yiaKN6bZfWCKKIoZzPRyeN8MBx47I0OKNJWxdX2sXTfA0mKDRsvj4u0r+fV/cw1nZiqcmlrGMDTsbIoNm4e7Npmdl6ziN379VRw4dIRjJ0tomkEqY5IfyeHUPIK2j1W0Gd3ex2ifwf7dNTw3IJO3IWsRGBrCkX7dNZeN8cu/fA3/9E8P06q7UkAmgiKMBCIS+O2A66/dwI/vPMDxvdMywMaQg4txLOigoy/auoK0rvHQjw/it3xJFzEV2m6E14rI2DFjq3p527sv5Z///mHchXqXY60qEAYRejKMlx3JU48i3KpDBJiaQmGkSHWmQuSHxIHspPavHyaVtVj2S6imFLXpvgzNBWnrqJeboKoMrB8gjKHhh2imjmkZKJaOE8fEXoCT2A8G1w/jKyqlozOomoppGchhVDmEduyxU9jFHOl8CiNl4pSqgEDV9bN2BAUWjs3Rv2Wcnv48QdPDq7fRFBXdMmhUHek1thQWji4R+RFm2sSMLFzXw3c87Fwat+kReiHp3hz1qWXcWitJ0tQJHVeGDsWxDKxJ4uyzvTlKZ6TY0S0DK2XSqjRlyqgfSLkt5MBpFEZ4TRdFVTFsXb7Wjt/tPMsPreSyiyiWWEJFSbCOUjTWFiqSk5nYZ6Tgi7tBO12CC1CZr6Kbuuw2B1F38BKk4A4ToRpHEY1SU9o2VLkYIKEvKYoiw5GSrmgUxkShl6SCyqFKJaH/iDjuvkflnxgRKwjhY9hGYs2QVqhzg1eiMDpnYFOGFHXTUJ9SHfxotwQEfohh6jItWFWSNFd5LUM/6n4HwtlOuqIpaJ2dDyG73u260w2FUjV5fXVLp1Vpy4VxLIjCEN2UtJ12zUleNyERmoZGJp/CtE36V/SyMLHE/MQim6/awIGfHqFdd4iSHQnd1JJAJo103sb3Anw3oFFusWKjTiorF5tRENG3spfyXA234eI2fQbH+5k/vYTn+CzPlAmDMFmgqGR7MhiWjtNwefL+w1z6hh0UB/Mg4MkHDnPm0DRWymR860rGtqxAN3R+evuj5zPPTZ3KfJXv/dWPUBTJkr/oxi3suHFLt1Obyae55m1X8NgdT9BYboKisn7zei5700X0jBVotVo0m01KpRKtlhwyzmQy54n2bDb7nFSxZ7O4xHH8goKKfvjDH/LpT3+aPXv24HkemzZt4pZbbuHf/bt/94I6z57n8Y1vfIPbb7+dxx57jIWFBSzLYuPGjbz97W/nd3/3dykWi8/7/p5PdRYos7OzhKFM4NV1HU3T0DSNbDbL97//fT72sY/RbDZ/LijlC3Whnq3+8A//8Ly/Dw0Nceutt3Lrrbdy33338aUvfYn3vve99PX1ccsttzzt+OdTr1iBfm69FIuL7/vs2bOHFStWMDY29rzP92wLgusuW8vuJ6dYKDXIpi0cN0DTVG64Yj3VusM/3/FEgjPzieIY3w+ZXajR35Pl9TdsZrnU5Pbv78V1PTIphWymyPxijX/5/l7++P/9Dt5y41ZcJ+AT//F2/CCkvy+LH0WEYczsRIVLr1vDyGiRqYUKN1y3gYVqk6//aC/LNenpLdUdBnuzrFk3wNxinRtu2MjcUp1v3XmMRjsgCj1pf8lapIZMyqUWKzf2s7IA0ydD5ufqxGEsBbipk8qYtGNBpifNBz5wLff/8CD790wmXbcANYm3DwLJiX7VqzcyNbHEd7/6GH5bCrPYj6SXXZPs6HwxzfWv28JffuoO5idK6LoMj4mFoHe4gGKbvOp1m9l68Uqe3D/N4z86RJiEyIDsdupZmxXrB1l78Qrmy02Wji4iEqa64/gIyyA9mCNo+Wy5bBUt5Idl9ugCIO0Rnhthmhq5kR5EENK3soiRtWiWWzTmqyDk1r6vgKYppPtyxEFEYbjA0KoBFidLuAvyuDixVEjUpBx8DJyQ/KDC8pEZgmoLEYbdYxVFQUn8x0Qx6ZzN0vFZvFKdOIxouh7p3ixm2kLtzeO2BIEbkuvL0io18ZaqxJ70mTthhJ4y0WwTLWsR1FpYaZM4lmg9kTLk8KWW7GDoGnYujWXr0pKjqknHXBJz4uSHUtJLFLKDMrBJCHkdFGTICKqCYRpSpIYRiqpi5VK4dQeBkPfhJ0mbKt0h19ALqC3VZEc38Y13/eTnNm1iCGM5YKoZKqGQnXzd0GnXnMQuERGHcidIJJ12umJa+q2dpouuaQhN7qL4jrRlxb7klysJbkU3pOhVEzuOiGUnvUNxQZAMOtNllj+VphJHcRIA9BTko8Iz2ydEYiPqIBeTrncYRk8PNeqeJFnsJq+Roir4ySCtDFhSCYOQ4lCBdoK6lAudkNCXXvjAD2Rgky7tUJECdsaiVW/TN9qDYRssnF6iWW6hajLgqDCQZ+MV63j8rv34biAxqmFMOp+ivlSnUWqy7+4DhEGElTLZeNla0oUUiAkWpheZP7XEde+4nNMHppg/uYjXltaszsB432gPgReyMLGI2/KYP7WInTGZPTlPtjdLoT+PnbGpLFRplJtc9+4rOPDAYZamSgyOy8bLxMFpaksN+lf20jvcQ6vW5sFvPkYqa7PpirPErjU7VtE7WmRhYglFURhaPUC+T04d9fae9aB3BHWz2aTZbFKpVJiamsJ1XUzT7Ir2zp90Ot1Non62kCLgeVFcPvWpT3Hrrbfytre9jR/96Efkcjm+9KUv8du//dvcdddd3H777c874Oeiiy7i+PHjvOENb+C2225j3bp1zM3N8Vd/9Vf80R/9EV/60pe4++672bBhw/O6v59VpVKJP/uzP2P//v00Gg0ATNPEtu3un3w+z8GDB9my5emhfxfqZ9Q5lN2f6zl+QUvTtG6TeGpqiv/8n//zBYF+bp27LfZiO+hxHLN3716y2SybNj3/SOfnOt/2jSPc8r6r+M5PDlCutOktprnphi1ce+lq9hyYotpwGVvRQyGXYn6uiuvIH8S3vGE7V+wc56ePnqBUaaJrMblsDl3XyaR1qrU2pydLbNs0wumJZRaXGliWThQLshmbar1NEITMzdVQszor+vO4DY8vfncvNc9j9XgfU5NlQj9iZr5Kq+GxfnU/Bgpf/MJ9LJYbjI5kWFr0CPyQSjkkn7VZt6qPq7emmZ5TqVRL9I4WWD5TIfZDyYSOBVbK4E1v34FXczl2dJ58MUVTCPyKI8VLHKPoKn0jaXrGC3ztr34qB09NDSXSJWUkkB1PO2VyzU3buP1f9rA0XQVFIUKSLXRFo77cYuv1w1x6zVp+8L39HH98ksiTnGlFkx1nJQLFC3nTO3dy/8MnmT9dQk9sNLEbotk6dsrANjTswTxrLh7j7m/vJfJCuj2nKEa1FQo9aZo1By1j0xIqzollFAFWysZLFj2WpcvByqZHDNRcn/JjJyCWuwOKKsWVaUnSituWZBM/jpndd4bID9EMHdU0iNsSkdjldscC0iazB8/gVZvyi0FVEVGEEoT0r1lFo9qmMlshckPaNYfWXAmRiPwEd4KdNiGdwqlI2oxm6bJTrGm4TR8rY7Phqg049TbzJxdxmi7zJ+a7Pm3DkgFGWmLTGd0+zuLxGZx6m+ZS7SwL3DQTv7QcTjRSJvl8isqMHBh1ak43+bVjv+gmcqqSWNNwZBppKBLPeWe3TJxlm2u6hm7pRC153tCTQrQ42kttuZEQV2J0Uyfda1MvNfDd4Kw3HcgW0wTJAiEWEjmo6kLuqgiBlRBmFFWRhJlkZ0bEyE44andI1s5YBH6I6FhfUgZuMkSsqGe/q6TFRkPP6EmAkbTB6JaG10qIN53Dz/kB9BxPMt9jgWHrBM4z+9jl95ogTuYGpGdf3qme2O7MlAzEatfaZHsyNMpNOQzcWQwk3ntFkQx8VZf2KKfpomma5J1HMV4QEUVN8v1Z6ktyIFTTNbLFNOX5GnEcdzv3AojiGFXTSFkGjXKTQw8dZefrLmJwvJ/lhRKVuRoPfms3rVqbdN5mfNsYKzaMcOSR4zRrberLDUbWDdGutVk4s8yp/WeYODCZCHnJZc/1ZrEzFnMnF6gtNbj4NdvYdccTTB6clmFTbkDvSLHLPE/lbGaOz3P0sRMMjfcThTHFoYKkWvXnKfQ/N71BVVUymQyZTIahoaHuv4dh2BXtrVaLmZkZms0mcRx3RXocx5RKpW63XVGUrkD/WR30Bx54gFtvvZWtW7dy++23Yxhyl+BTn/oUlUqFL3zhC3zqU5/ik5/85HPeT6cWFxe58sorueOOO7qifu3atVx33XW4rss3v/lNPvShD/Hggw8+r/t7rlpaWuKTn/wkX/ziFwEoFovd6xGGIWEYdn9fgyDgjW98I8B5u0UX6kL9vOuWW27hM5/5DLmcXJgvLS3x5S9/mdtuu41jx451LYw33XQTH/3oR1/UOV6xAv3cejEedCEEBw8eJAxDLr300hfkIfxZC4JrLlnDlTvGqTddshkLQ09+GA1d8sYjQbGYplBI4bgBjZbLFTvHWSo3+c6Pn6TecNF0FcdvUMyliKIY01RJ2QZzCzX+4ZuP0Wi5NFoKtbpDPm9TyNhU6w6qqrBlfJDZ4yW+8MgDVBoOmqYyNJpnzdoBFufr1Fsua9b0kVd0/uen7qCWeEiblsbaLaNUag6VSovxNX1celGGnr4iP7n/GEEUk8tZuMNZvJqL1/RRUzo7rl/LdVet55tfeYx63aHQm8HPWSiagl+XA27rLlnJlq0Wd//4ME7NxTA1VCEIFVAMFbxIduF/40b2Hp1l/sQixAmSLoyIYlA0II7YuH6Aw4dmOXFwlvZyU3ZDk2RWtUO2UBT6ejNUpqv41TYxAkvXcMNAJpR6IbptcN3rt1JruDg1BwuB13LRVYHvx0ROQK3cRiiw8bJVnHh8CqflkevJkE5bRL70ZcuwFkn5WH3xKk7vnybyItJFG0UBI58iqLVp1R0Z/KOr9Iz3Uyu1iL0QO2dL6wcQRlFXXCmKgp6xIWXjV+oYhoFqSBKOYZq0620WTy3QNz6IV/RpzHu45YYUwKq0fGiGjogimkt1hrb3Yeg6TT8k8kP0XAqnHeA2PMy0ztLiMpWJCpquYWZNCMJukqnr+Em3W9Czoo/F4zMySMm2MFOGtL5EAj/hZyuJJcWwDOoLVRQUzKxF5IfdhFIpmEVXj1opk2a5haJwnl+64//ufG5BpsU6dSdBQSpd8bo4uYyZkmJNJCJbUWSK5lN/4JvVNul8KhnkVc92jJNUTilSpR3Jc3xSWTtZJNBNJxXI96Smq/iOfAyREBjJcSKmmzAci47ANnATpOW530edC6EmC5LOo1UU5bxueRRE3UTTZ6uziabS6q/r8rUIvJDQD9F0DbftyeFhVUGgoGsqmZ4MjeVm15ce+iF2xibwApoV6UevLNbQTWl7SedTZPIZrJTF/KlFpo/OsvGKdez9yQGalRZ+KOcIDMtATQg0+f4cgRdQL7dYnFxm5cYRDEtHBCG6oTG4qo/SXJV6qcnqiwyG1w5y5NEThIF83MNrByjPV+WCbKhIvdSkNFNm372HuPLNOzEsg9pinXu/+hCmZVAYLDC6YYS1O1YxeWiGycMz518rBIceOkZlTi4q+lf2ctVbL+123V9M6bpOsVg8zxYihMB1XZrNJtPT07TbbY4fP0673ebzn/88s7OzrFmzhqGhIfbu3cv27dufVaj/p//0nwDJE++I80793u/9Hl/4whf40z/9U/79v//3pFLPL2Tp137t156x4/6bv/mbfPOb3+Shhx5iZmbmRceadzzne/fu5Z/+6Z/4lV/5FX79138dkNcmCAJc18V1XRzHQdM0vvzlL+N53os63y90Xeigv+T6u7/7O/7rf/2vPPDAA3zpS1/ie9/7HmEYIoRg5cqV3HLLLdxyyy2sWrXqRZ/jFS3QX4oH/fTp0ywvL3PNNdc8723ATnXO57gB5Vqb3kKalG085RiVnsL525Sb1w4yOlhgcq5CXzGDEIJyrc3GNQOsHuvlS19/mKmFEqmUQRDIWPSlchNdFVx5ST/jK3v53N/ez/xyg0IhRaPmEkUxlUqblG2wfu0gn/j4W7jrroM8Mlmip5jGiaSHc3G2Tt9QnkuuGGdyrsqGsX6+89VduH5IrCQ/Hk7IzJkSl79qPdNzVbZszuGFMffvXqJclymiLccnm7PIZEwqpTYXX7aKN1y7ma995TFOHlug2fIIooh02iLdm6GuqPT2Z/nYv3stf/E/v8PMdJswjKWgNTVs28BXFcyUxdv+7VWcnC2x5+6j0l4QxogoltxrVUFTIZ1LURjO87XP3U+r3IIg8fjGkn4hhwoVcsUU9997lKWj88R+2LUcoCpYhRQ7r1rLtktX0Wz57LvrJN5cBTfsvIekOLZ70gxvGabQl8Vp+YQtD2Jot6RwNLI2eVNHQdC7spd8T4ZaSQ5nxnFM4EbSu1vMIrI2fttneP0AsYipV9rd4yTvWcEwNShkiRyfwQ3DREFEs+YQ1NuSiZ0g8nRd6wbjWCkdr+3gV+rELUfiFoWQOwEJE13EUizGUUzseUS+R+gFNJcizLSNoqpkh3qJ6j6GZaCoKooKrUYbEceEno8aqlLopSyKIwVq81VUQ4o0Aei2SZgMCkdJkmfvaA9O2++yv5VEZ2vJgjWO5VyCEGBmra4g1y296ytHlUJVHpcMatoJzxzZwRCR6Ib5CCEtJ7GIURMyULPpnCfOz51f8dqS1hIF0hMfJkhDgNCTPP4ojIhjgdNy5ZBnFKN0hl6F7Ka7Tf+8TrnvBKi6hggieXxnl0CR5+xiDZPHEnrRWRTlueJcPV+cd9JVRXIdAvfpNpdzKTOdCqMILYzQDE3aWFAQEZIEoyiS7BMLcj0ZnLpD4IWJoI/xXNnZD8MQ4sRO5EuOe3FQo1Vt0beyFyttMX9qgcAN5ABp1qI4UGDNRas48uhxyZVve+REjnx/jsXJEmcOTjF1ZIZmvUW2kGHjFeukpSaIaDdcpo7MsuWq9Zw+MIXTcJk9OQ8CUlmb0Y3D9I/2cmrfGdoNh/pynaXpEr4bUJqr0Leih8JADqfp0Sg3sLM2Gy5fw8RBeV+pnI3n+EwdmSWds0kXUmi6yszxeR74xqO87WOvx0pbT7uWL7YURSGVSpFKpajX66RSKTZv3kwURWSzWR599FF2796N4zi89a1vpVwus379ei666CJ27NjBrbfeimVZLC0tce+99wLwute97mnn2bRpEytXrmR6epof/OAHvPvd7/6Zj+3MmTPPuhhYuXJl93+Xy+UXLdA7n7mTJ0+yYsUK/sf/+B8/k4RRq9W4//77X9T5LtSFeiklhODiiy9meXk5CcLTecc73sFHP/pRbrrpppeFLvSKFehPtbi8kFX2/Pw8J0+e5Morr8S27Rd17r3Hqnz7oX+h7QRk0yZvfc02brphy3N24k1T5yO/dA3/8O1dTM1VZRjShhE+ePPltB2fx588RS5jsGZsiDNnSrSaLmEQUywafPSD19Jsexw4Oouha/SMFTGMJrVqmyCMGBzK8/Hffj39PRkeefSkTC9UVXKJ/SWMQmanK7i6YHQwz9xEmWbLQ7d0bNvA88KucDx2cpHBfhsDj937HVptn3XrBjl1fBHfC6gFIYVcmo2rB/i1d1/FP/7vhzhzbIGVK4qErk+75dOoOxSVNP29Wd73/iuZOlWisuySzltEmka71Cb0JNJN0xRWrxugqoU88pOjckvc0sDXwI+kR93QMC2DoQ0D3Hv3EVqVNhGgpwzUICROhLphaKiqQma0h1MHZ4m9EDS5va+qCqEbYmsar3vHTu789j5Kyw3qC9XuYKRmaCiJH1iLIrSsxdTxxW5QjhAxcRSRzedRVKguNzF7sjQdn/JcTVovTJ0wsWlkCynCMKbR9DCLWYJIoTbXkEOjtoXT9lGQxIsgjKS4tQxqLZdgqYmiIskqyIFDM23KOPokyjwMBZUDk13u9bkhPaqW0E/iGN22aS9XaS/XujYGEUXEYUhuqI9m1SGsNdEtnVTepDFfwU+sOOq53XhFYerANGEQoKkyACrw5LUzUibbXrWZqUPTVOdrNEoN6f0WMYZlEyYiWFJGNIbWDjF7bBYRxwQJW1tR5eLWD4JuyJBhG2QLGaqLVaJI+skjLbHwJLSTTp6AqqhdukkYhFQX5WvSHcxUkP8j+bscAIXIl0OtiqqQ683KRNjkseqm/Bp1W54cqAzjbgiQbmpd+ophGd1QosCTYtbOWJIbntBSDFOmb2oJg10Iuq+daRsomnyPIgSKpnTJM5200K54Fx1rjN71rqsJsvWsuj/nOQu6wT9yrkDpDukKAamcRbPSZnm6TO9IkYWJZQIvkDsCCV4SAE3BtE1QwGm4NErNLsJSDnTGlOcr5PtyRMsxUSDnIrLFjEwi1RTqy3XCUFJ8nKZHJm+j6RrNcosn7z3Exa+7iN7RXlpHZpg6NE1lvkoqbdG7YZjV28dYuXGE+7/xKJl8GlVXGVozwOzxeerLTfbdc5AwCYBqVtsMrVEpDuYJvIBT+yZ4/a/ewPSxeY7vPsnilKRKWZbBhsvWkkkaKis2DDN7coGTe89QHCqQztkUBwsv+HfiuepcD7qmaVx55ZVceeWV7Nq1i0ceeYSZmRnm5+fZv38/+/fv59ixY92h0927dxPHMYZhPC3pulObN29menqaXbt2PS+BXig8+/Obm5MEMtu2Wb9+/Qt9qk8rx3HYuXMnAwMDuK6LYRhP+90UQs6ovOtd7+pSMl5oI+0XuRTxr8BBf4V30EHaWtauXctHPvIRPvShDzE8PPyy3v8vxDv6hXTQa7UaTz75JDt27HjOL6Xnqsf2T/PYoSrZTIZM2qTR9PjKd/dQzKe45pI1z3nbVaM93Pqbb2BuUQbzjAzkURSFAwePEIYR+XyeTMZiy5YRXDdgZqHK1nGTVMrgK997nPmlukxQbOj05FNsHhthbqHBm998Ef39Ob74jw8xM1/D92S3O5e16MmnWVpugKqwdc0QQdnl/l2nZRcsijEMHcPQ8JOBvMHBDEXN4fvfLbG81ERVFdJZi9E1/VRrDtVamxUre3j323fy15++k4N7pxCxoDJdoWcoT3a4wOJinWze5n3vv5Lxtf186fP3EQQxuayBo6ikFHAqMizo4qvWcPE1a/nxTw4RtAMs2ySIIoKUgWZoxE5AtifNdW/cwqmFOs2JMgpgJJx5MiaqG0EYsXrLCErGQrN1qgfKCfFCJjiqhia7skHEqeMLLMxWsFQIGq4UeUgudMeGEnkh5akyURCjRRE6MQqC2AupV1pEcUy+L0thrIdTj01gpQz0IECNpSj22x7VJfm6Z3vTKGmb+dNLZLIp0jlLkjZcj8gNaEcumqaSyliQTeOX6uimhpU28N0QqyeDV2ni1J0uqUbJpnGqLUQcY9g6USi7z35dLiIUIeSXqKZiFTN41absjp8TqOS1XDJxRK43S8Pz8VsuuqklCwCBoqiouiY5135IYaAAcUzQ9lBiQeBFXeuLXbA5feA07YqLkdITD3cTBHhuQBxF6LomkydzNksTcuGTyknMofR+S+uL4OwvTCpjU1uqAYr0nXtRNxRLILrpmJAwzBtnxXUcx2eHOIFz3DKyOx1E0uefiFgRCxrlJoZldDGLuqF3bTtPHcwM/QjDll+zmq6d7b77oeSQKwpCxMkCQi5iPCdA1aSwV4QgVs6GCEW+HGZVFLkwUxSFIJY+/Q7T/FxCTOifJdyYtgFJ+ul5W9wi2UyJRPd7Uk3Y87neLM1qC68dSD59y6fdcNAMOciqaArpQpooiCR5R1Xx3YB0PoWqqTRrbTzXp7JYkxkBpk62mKVnqIBpGyxOlpg8NMOGy9ey5879NKtN3JYnd7p0DVVTyPfnsUKH5qJDdanO0uQSI+uGmDu5QGTFFAfz9I320K471JcbrH3f1RzbfYrJQzOkCylyvVn6x/ooz0myT3GwQL3U5NTeCXzXZ8ertyYptCG6qfPaD17PlqvXU12sE4URu3+472md8uXpMvf/8yPYaQsrbbLm4nEue+MODPPl+UmN4/gZKS8dBrqiKIyMjDAyMvI0xODJkycBGBgYeNYu3sjIyHnHvpS64447AOnJfb52mWeqzmO94oorOHToEIcOHWLr1q0/8zYv9nf6Ql2ol1rf+ta3eMc73vFzu/9XrEDvDDHB8/egu67L448/zvr1688b6Hmh9dATp4liQU8hhaqq2JbB/FKdB3afOk+gN1seKJB9ype/qiqsGC4C0HZ8FhcXmZud4trLN/DwE1NYpodpalQbLj2FDCsGNB58/DR7j87S25elvCyHjZbKLVwnpK8nzcXbx7jv4ePs2XeG/sEsC7N14iimWnXIZS0GerJ8+N9eiwL87Y8fJJtPSZtFLPD9EENX0VSFwsoCKwZiHvpJlXrDI9akCGrUXWYnlrn81RtZWKrznvdcyve+vptD+6ZlRo8CQRizPFtj4yVjmDmL9958GemsxZf//iEmp8o4TgiqQ76QRh2w0AyNNesGueWjr+HT//MHLE1XJVPaA0VXknAdhXRPlg//v17Nrl1nmHxyjsgNpAVCxKiagqpLdFsqbTF6xTgPfWc/BBFR20/QjQJVVzEtnViNSBVsfvS9fSwcmYc4JmpLbjoiRlENUmnpf0ZTaZVbuPM1RHj2/aXqGnbBZnC8DyttsTCxTOxHNJcqNM8JoRGKQnq0yOj6YQQqC2ckBtFx/a6PeXjDKIsTS/QOySCXGIXSXA0niFBVycy2bJPMQJ7FWJDvyWBnTfwwolnzcJbrEEWoiWda1TRUy0RTFTKDBSIvgEimbEZe0J0+13SVKJRd6MgPyRgKCjGR59Nc8rt8c0VTkvAlWbqhISIVRYHID1FjkSwQLNbtWMPJx09hWIa0oUQxmikJS9J6A0EUk+nJoGgqvhdIIZwMfaqaInF/UYwIBVEow2viKCaKY7lw80N0UyNKLCJxFHeHIU3L6C60kkZ2FwFJh8KePBE5+GnIgd1k+LRjGxLJcxKxkAFLihTyTyWydKojXKNAEl7ODS3yHD9ZFEmLldNwu8FNnZAkEcv3ZztJb1VV+TqGCWKxGyykKpIq0zmvH3XTRJXkXKncM+8Idh0+ydywEHJeIAxCrJSJ0/S6DPNGSc4BWGlJwSn252k3XGpOHcvS8MOomyaKEASOtAKFkfS3FwbyNCoteoeLVBfrzB6fw3c8VA3MlEHvUJEVG0c4tW8SNUFAGnmVTCFNea7KqX2TTBycxmm49K/oZfX2VZi2Qd8onDk4xeknJ7nipp0sT5eYPDiDokDgyXCj7a/aTOAGnDk4RSxgcbJEebZKabbCpW/c0RWJKzeNsnLTKFEUM3Vklumjc6zYOIyiKpzef4Zmucma7SvpH+ujXXM49OBRigN5Nl/10jvI8OyYxXa7/TNFcL1eB3jO4zoUmFqt9hIeJSwsLHDbbbexcuVK/st/+S8v6b46v9fXX38909PTfO5zn+O9730vl1566bNGqf/+7/8+AwMD/Pmf//kFzOILqQse9JdcN954IzfccMPP9RyvWIEOL8yDHoYhe/bsYWBggNWrV7+k87baAdo5XTv5GFRaLWk7WK40+fr3n+BAEjy0Y9Mo73/rJfSe40lfLjX5p9t3se/gFI7jcMXOcd5/8zbCCA6dWKDedCkWUrz9tdupzh9h39FZTENnxYYiJxWoVh2CMEBR4QPvvZIVwwX+5u8fIAhjBgZyEENpuYnnh0Sx4H3vuZyrLl/DZ/7yJ7TbPsPDBRzfp7rQIA4FYRiTHrJZuSlL0Dao1VystIkeC3wvJFZjGjWXkycW2b59JRnb5PGHT8kUyZS0yIAUNJMnFrno2nWsWzvAl257gEqpyerVfbTqbQIvol516O/LMtiX4x1vv4SHf3qM6kIdw1DQi2ma5RYiEGiawDI1Nm0dYWi4h5MHH0kGw3KU3UAGDUUKdt5EQSG9Is/k8QWCto9iaFj5FCLZdlfVRPzFgsxIgdJkGd+RDOtUT4aWH0gMIgLP8YmimP41A8yeXCTyAnTbwDAk3zlwA+y0gdMOKM03UBUQrotw/LO+7FjIOHnHp1JqSeKNKoVt7IekBnLEQKPhgGWQHeunOl2WpJTkuCiI5La7olCvthGKxvDmlSxPLOHWAwxNw1UURCzFvqJK0RtHMUYuTRhG+A0nSdYUCaUjwrBNyaYPQhTkQObCkWk5EArQ0aHJezxO4tw7IrQ2V+l2ceMokl12Q2PiySm8lk+uP0c6a1OZr+K3pABGTbrdQsFzPdoNBxEJFD0J19FVNFVHNzTGtq7k5O5TRFFM6AcEHWtG17ujoAoVw9KxMzb1coMoiCRFpZM/0BHdnB3STOVsWnVHzjYI0eWcC+SgqqIqCEUuSOSQpMBteoCXWJ9U4KyVCEiY52CYmnyNQS4WbKM7jGmm5AI99EMCP5S2l5Z3Hh8+CRHFTJlyYZDsEMRRjJ21cFted9dAMyU+sRNIdC59JfRC0vlUV+xDYn1JfPBq4mFXVYVICFrVNoZldG02qirZ8ALIFFI0yi2Wp8uMrB9KLEuSfx/6gZzpUOTrYaUtVE2hUW5Rma9SGMjLAK7kOVeX6uT7c8TzkuQyvHqQpckS1cWa7PovR1iGhRCCVr1NoS+HqiosTS2z/95DXPL67V3k4xM/OkCmmCKdT5POpxnfthIrZfLYHU9g2SZWyqR/rJ/FM0uU5yo8+t09pPMpdFMiX3e+dltXHGuaypVvvQTf9Zk9MY+I5fzA0OoBBselPzrbk6HdcJg4MPmyCvRnEpv/vxRSFMcxH/7wh/E8j+9///vn4SVfTHWe81/8xV/wmc98hlqtxl133cWOHTsYGBigUCiQTqe74U/Dw8Ps27ePX/qlX3qZntGFulDPv+65557ndVylUuE973kPd9999ws+xytaoHfqZwl0IQT79u3DNE22bt36glPfnlpPQ3biAAEAAElEQVQXbx7lwNEp/CAipWn4QUgYxly8ZQVRFPM3//QQh08tkE/S6x7cc4pqw+EPPvo66YMOIz7zhXs4fnoRRYQYhsGufbN4waP8wf/9BuaWGrQdnxVDBdIpk7vuOoaaBNwYhsamzSM4TsDUXIWrd45zyUVjfONH+zg+uUSr5dNwPQrZFFsvWsHMXJUrLh3nta/ezDe++wSP75+iWndwg5BsxmZk7QDLi3V0W+eiq4rkhMXuPQvSuhBJ1rll6dKjHkesGe9nx4Zh/tsffxen6XXFgWHqUlARk8vZ3PzOS/jCX97N3kdOSRFo6tg5HT1nU697ZHM2b3v7TlzX55tfegCvmcwQaKBlLaJAiqarbljPdTdu5u47D9KsOaTSBl4QYfamiMoCEcTkC2l6VvdiF1NMPj6FpslhUD+KMIsZvJpEl+V6M5j9WfoGc8zsn0bVFMKki2wWs/j1NooAI20yvmmETE+WmYMziRCNiZMfdd3QaC3UIR/RNyC540oQ0PFPdIb0DFunMV9FK2Qp9mVplRrouhRR5YUahmWg6SrFFT3MHl9EjSKKAzmcWhvD1PFbLvXlBlbaBAFW1mb61CJh3SHXm6HVdMkM5mklQti0DTQAXcPOZiT5xTYkMtDS8ZHWlE7YjSIEesrG0CTPXdG1xButEDWcs23XRNyni1nqi9JipajSbhL6IXEUYVqG7B7HMV7LI4pj2vV2N+peUSAKBUIRWLaFF3lEUUToRYg4RtNUQi/AyhpMPHmGWMRkCjbthhSyIhaESAHZ+UxbaYtGpYmmyd2DOPGGd0S6mvhW4lgkiZcukPjOI7kQO8vOT14+If0goS8HQzvWlyiQuxRP/V4BKezPG9YUELjSt62beneBgJnExSd88HOP7wzFdjricUJ1UVUZXtTp3hu2TjqXolmV72lFUZO9AflHUWWXvrNAsVImdtaivtSQRyTbC3EUdzvz7YaTDLtKwZjvz9GqOThNj1xvhtpig8pclVQuJQdc44hMMUNxMM/imWUURcFzfHLnBAnFcUxtSb4upmWQ78syMNaPqqpUFmpMHZ1l/aWrefT7e2k32qg6CFv6jg1Dp39lL4EfsnhmmdJMmaWpEj1DBZamSmR7XAqD4/QMFyjNVPAdnyvfvJPDjxynPF+lb7SHwfE+qgs1NF2nd2Ufo+sGcRsuD3xd2la2Xruxe/kHV/Xz1t98PfOnlwiDiJmjM5zaP/mU1/rZfw9eTD2bQH8+IUWdbrPjOM96TAfX+FLsIb/1W7/Fj3/8Y77zne9wzTXXvOj76VTn8/Loo49y+vRpQA6dnjhx4jlv91IoGb+wdaGD/q9Wvu9z3333vajbvmIF+rkWl58VVHTkyBHa7TZXX331yzJ5+6YbtnDPQ/sp1x1qTRcFhS3rh3jj9Zs5PrHEqallBnoy2JYku5iGzomJJU5OLrNh9QCHjs0zMVXC1AW2ZZHJZnEdnyMnFjgzVWZNgvcSQuAHEgG3fcMQZ+aOUa07ZDMWjh+QyZhcsm2Mxw9P88i+CQYGcwRTFYgF5VqLOIpJZywuv2Q1u/ed4cHHTtHbl6HdlN24al0SaHqKGS7Z2U82HfLEfgcrZcp0zzDG90IUBUlGGchy8zsv4U/+y3dZXqiDpYEjKTEyXl1HMXXe9p5L+ebtu9n3mLQCKZqCF4T4pYDxwRwDK3v51Q9cw5Fj83zrSz9NgmsSjnkYQ9OnON7La96wla1bRvnud/axMFOh1fIxwxg7rYOlkBvvwzYNPvR/v4Yv/vW9zE2UkwTECF1RZBJo1iadsdh2yRhGT5on7j1KebZG4EfEoUAzJYUjm03R0jUKK3toOwGzZ8qIU8uEYSQtCIBpycAUp+HiexFRpcXpUwuIMJI+5+Q1My0dFBkOIwC34TB5ep7ICxJ7AQhdYXTbCjTLwPMjypOSE754bAav3KAjLAlDetYMYuVsPD9i4eQCShTTarrEIqanv4AIBCIM6R0qEMcCL4xpLDcI3QArY6PrGplcirqQgi7fnyXwA8Igxvci5k8tJIOIKkrCD1d1yb+2syn8tkfoB/iORxwm6ZKadl4HWgiBmbHRDR2v5eI7Xneh0rF0yE4+xGFMYahAda5KHIRJKmdMoT9PsT/P9LE57KxM5LVzFm4bwuR9FiWffStjyfddLFCT4V0rY8n0UuQ5wsSeopu6vOaJ6NU0FcVQux3sjq0l8aFgmDK4icSDLhehMXF4lsbS4awo5ywY5NeR0k0SBWlD6SwggsT+5D8Twzz5QQ0DiWwUybBnHEuak6apaJrWZYtbaQu36SKUJNU0WUR5ji9xkYaGAgSeJAUZtpm8H88+NmJBGMtrhIpcsPohrZqDnbFp19u4TQ8hBM1aC93QSedT+G7A6PohUrkUy1NldEsjbMpdEUmYEZJNbhnEyY5TNvG6D60epFVrM3lomtpyHU2XViOrYLJmyzhTh2fQdI1GuUXfih7sjEV1scaRR48jYjkc3TvaIzvihi7JMaeXqC3X2XTFOvb+5CATB6ZAkbsPg+P9bLpM2g5zxQyzJxc4/MhxRtYNEXgBPcNF2YRIW4xvk7QS09Y5c3iG6mKNfF+Odt3Ba3us3v7yCcUOcvCp9Xw66J3B0KWlpWe9n85g57MNkf6s+vjHP87f//3f873vfY/Xv/71L+o+nq0WFhb40Ic+xK//+q+ztLSE4zi0223a7XY3pbXVaiGE4LOf/Wx3IfNSG2sX6kI9V33qU5/iH//xH/n93/99fvVXf5W1a9c+r9u9lBT7V6xA71QHf/NsF2lycpLZ2Vmuueaap/FiX2zlszbvee04kdZL24fhgTyXbl2Jaeo02x5BGGMaZy+9aWgEYUSr7RHHggd3n2S5LAkd6ZSFovlYpk6j5VFvugghuOfBY/z4/iPUGy6m5vNLN6/ixivWsevAJHOLNTIpky0rB/jBd/dx4PAssaawadsIjAoWFxuEXkjb8Xnnm3Zw8fYV/MUX76XleIwMFxiNBQuzNQI3oNH0uP6a1awei9n1eI1qzWN0tIjrB1Rma8RhjOeEZPvSvOndO3n00VMsLzTI5mxcS8cTbfCkeIm0mB1Xr2FwdR+H/uFhVEWmZgZJ8AuRYO5MldddshZVU3n4p8dpV1oYlkEYxfLHRpPdzaymccUVq7nju0/SrDusXNmL3/KplVvUfZ+RkSIiVrjsqrWUF5s0Si10XaMwkKPih4ReiKEpGJqCaVtc9/qtfOsrj9FuevQO5tAVqM7ViPwQM2vTarjEisLAmn4O3XuUOIjIFFJke7M0FmvEQYSqKLTqErXXO9bL9P4piGNSORth6bQWqogoTqwZEjWYHSrSWqwhfB8zJW0Abtsncn2cpkfQ8DFtHc3Q8ct1gnpTWhd0VRJQopjqXIlU1Hs22t4PiKKQVDZNu+3h+xFDawfJZG0WJ5a7lgkRC+KEgtJuefhOiJ22Gd+xhpN7TqEQoirS4BFHMbolfemhH6IIQaonRRzKCHgAkYivzsRlFITS763K+Pjy5NLZKPrOx1Ghu4Dr/MCqmkp1rkqYhFNJ73OM7wbMTyzJ8Jd8BrfpYqVMWqW2FMfKWfHrOR6+63f94VoyfKobOmbaQEGhVW13PeoyuAkZaKWoXSQnCqRSNk7dldYWVZNkGl+KaFVNvP1CLjJSORuv7XcTOlNZG7flJtdB7eI841B6xRUFmskOTmeQ0w2TACPlbOceSBJGQwL3rP8/jmOstNm1+MS+SMKOJEGmE74EEn8oYjlfIO1IUfJ+icj1pgj8QIZfIcWObssdEN3QulQaRZVeeEkAkjYozZBkonQuRWEgT2m2zMyxeXa8ZitWRqbiIoRERNIJcQI7a6FqKvWlBqWZMpliilxfFjuTXDMB/Sv7WJ4uoxsaqy8aozxbpV7u0H8SbGYoFyWFgTy+43N6/yShH3LRjVvQdJXqUp27//FBdFMn15vBylhsumIdi2eWmThwfidcURQOP3iM6kKNMIjoGyly1dsvZWzzWXTgio0j7Hzddg4/fJzZEwtYaZOt121i3SWrX8zPxTPWcyWJ/iyBftlll6GqKkEQcPLkyWdM9zxy5AggBzJfSMVxzMc+9jG++tWvcuedd3L99de/oNs/V3U+/7Zt8+Y3v5lXvepVP/M2jz766Mv2u/2LVBcoLi+8/vRP/5RKpcJf//Vf86u/+qtMTEw879u+2MXjK1qgd370n83isry8zNGjR7n88sufV3TyCynL1Nm4cZjBwcHz/n3tWB+5rEW51qavKM9ZrrXJZW1Wr+zjp7tP8uDjJyUhQlFxvYC5xRq5tE0ua7NmVR/3PXScf/zGY/I8ls70You///oePvnxN3Pjlesp19qUFhv87Zd/iuMExLGg3fQ4/Pg0O64aZ8VYL1OzFdaPD/Cm127lX35ygP3H56hV27SCgEI2xbadK5idrTG2osCGdXBmTuPYRJ12I8ILI7IZixUbBllebKDpKh/+dzcS1gK+/r1dBF5IPY4xTZ1Ufwa35SP8iNe/ayevvXELn/uru2lVHEQYowuBYWgEYUwkYgp5m8uvWsMX/uoeTu6bJnYT9J6uoKkqsRBoqsKGzUPseXySXXcfJk582VbGxEopuK4corv2NRtZsbaf7371MdrTFTkQCWiWjqppEAmGR4pcct16FpcaLM9VMS0dpx2gWDp2MY1baxMGEUbWYs1FK/HbHiTx9q4TYJo6ViGD33Rw2h521mZ8+0p8P4Q4RiSEGEVVSfXm8OotAjfATJkMrR/GzKU5Plfpvl/DQIbn+K7P8uQyqy9bi+8FWGkDb06GOmmGRhzJaPk4imkt1RncNCb984UU1WYbt+5hmbKLrJk6jhfRXF4inUsRRjEF26DcdvESdjdIb7WWtpk6NE0cxZgpi1ROxXdN6vMVRCCTN6PEljK4op8zT06iqCqqkaRLdjjdyUChEJDOp2THOvGKm7YhxWBiy+h00jt2F8/xusmx0hMtNWYcxZI5HsUyrTIWBG7rvO57pxRxDoJQUyTnPZa314WG1/Tk4GwyWCkCSVJRVTpTkpKkYUsko+yEK0RRhNt0O2fpUlk6lhA/YbV3hjslkUQnjoLEy352NkVNZgI6j7vz+M6tDgkRIApiuWuSlIiE3MlQ1S5yUlUURMK0f2onPgriZMBUTTCr0iqjKArNZEdNUeXwtZUyEUDTD+V16exyKHIh0Kw0JffekIuYbDGDbmi06236V/YxfXSWyUPTZHuycsBUSNpOYShHaaaCgoLnBBT6shi2gdf2qC01OPjAETzXJ9+XY/v1m3CbHkEQsjxbYnFiiTU7xnjse0/I3Q9VIQokYjWds1mxcYSlyRL1coP500uMbVlBs9yktlRnYGUvQ+MDeI7P8nQJK22x6ar1nH5ysss8D7yAqSOzmLZBKmdjWJIyc9/XHuGdv/0mcr3Z7ut20au2sGb7KhrlJqmfA2YxjuMX7UEfHBzkxhtv5J577uEnP/nJ0wT60aNHmZ6eJpfLdRGFz6eiKOJDH/oQd9xxBz/+8Y+fJu5/7dd+jQ9+8IO84Q1veN73eW51nu9nPvOZrvWm87v9TCmhuq7zO7/zO1x99dUAL8vu94W6UM9WX/va1/jWt77Fhz/84e6/7dq1i/7+5w4sW1xc7L5HX2i9YgX6M1lczu3SNZtN9u7dy7Zt2+jp6XnZz9/Zbn5q9RYzvPN1F/HNO/cxu1gHBOmUyc1v2EExn+KuBw4RxSGjo0WWFpvEscAPInwj5D1v20kua/Pj+48QxYKhgTyqAlHoUq07PLLnNO9+6yUM9Gb5s+/uo+0EDA5kcdyAIIrwvJCpU8us2DiAnTa4+pLV7D06w54j04yMFvHbAcSCUq0lfeG2zkBPTNvPcPT0LNmcgQg1ojCmVm8z0Jujp5jmta/ezKqeAl/81gPYaQPNVCEUeG5AWrPQDY3iYI4P/PI1/MX/vIt6pY2RMQnqnsTACelRV4XK1ktX8LV/fpSJg3PECNAURBgTBUrXQ51Jm7QUwePffByv5spjdAiqbQxLY9X2MX75V67m6OF5fvD9fZzcPUHQ9iXRRVWJ3BAjpXLNG7fx2psu4nvf3EO11KLZcBGxIGsZZHM2/X1ZmlWHi69bx5Gj80yfXMJv+7LLqCqoqkY2ZxFnTZq2gdWfQwkjpk4uShxeItQ0XcVOmUS2QQSkenPkchblpQbRbBWSTqCmJzaFROCGQcTciXma0yVpaYgkbURRpEWhY3lAQKPSon5mnqATcqMoKH1ZekaKRIpCebZK2HLRTAO/0aK1UJYdbgGBo5IbLJLuy9FuB7TLDQzbQBWClG0QhTGpQoZUzibyAwzbJAgFC6eXuxYSwzSIwwjdNojDmFTell7zICJCyARTIdB0JRGhihz81HXp0U4Y47qlS944ihSdSfc7TnZQekeLlGYqtBtt4lB2vjuf91jEXaSioiqk8ym8ti9tHEEMSZCVtK5IL7eR0tFNDacukzvDIIKk+22YRtJhj5NjLRkk5PhymDeKJSklaYXrhkbgywWlYRnSQuJL6w0KEAs6vJtO6BGcTR2N45jAlx3pKIjO8zV3FhLytmc9z1EYnTck2xkG9RJG/VMrjmXHWS4gzhH8kSTldCw67bpDcbhAq5oId4Xk2EjujygyjVc3dDzHp7JQZWh8ALflSY87CqXZCpqmkS2mcZouoxuGGBwfoLZQRzM0GRBUaXXfr9WFmkRv+iFu02NpvJ/BVf0MjvVRmi9x4vEJrIyFbumYaZPiYJ6eoSJTR2bQLQOn4TK8ZoAwCCnNVHj8R/vx3aDL/ld1SYLxXZ+Teye44s0XM7R6gJnj811qkW5qrLl4FdmiFMGjG4aYOjLL8T2n6BvtxUqZDIz3o2kq2Z4M2Z6fz8Dmc3XQn08z6Q//8A+55557+OxnP8tHPvKR8xjhn/70pwH4D//hP5x3X48//jgf/OAH2bZtG1/5ylfOu00QBPzyL/8yDzzwAPfccw87dux42jnvu+8+XvOa17yg59mp7ryGopxnu/lZVJbLL7/8ZWdPX6gL9Uz1+te//ml2rrGxsac1YZ9atm0/4wLz+dQrVqCfW50vmk5XwvM89uzZw/j4OKOjoz+Xcz7XYOobX7WZdav6efLYLAA7No+ydqyfRqPB7Pwy+VyG4YEixWKGes2h1nC48rI1vOHGLRw4OsuRkwv4QUjL8SXKUVGAmGpNDgUdP7XI7ifOUG84BGFEPmfTU0hTKrWoVh1GYsFlm1dyZN809zx4HC8MWb9piJWrepifreG2fepNl8s2F4lcwbe/eYhm0yOdVxldOcD8bI2241OptnnVNet50xu28Y1vPU6p0mJkpIjjBlTm6gg/otVwKQxk+aUPXM0TT0xyZmKZ3t4MqqFSC2IiNyDwIhRVZc3GPvycxuxji+iaimZaeIBoehALAi8gV0ix8crVVKouft2VfO9YEEUCVVXw3YisqQMqhw/PobgBhHKArzMAp+kKkRswvqqPB35ymFbTY3RVDyIImT69LMVJMYXb8hkcLbBu4zAP3X0E09YpDucJHA+n6hKHEXEMjapDYTCLnreZOzSHnbEo9OcIWh5eyyUOYjw1IHAC0oU0sa4wP7FMOmuRKaQJ2i5+w5UDlbogDmTCqGoaNCaX0HQNO5fCQRB5gQxJSnqrCqCmLZrTSwRtD1VXEIqGIgSN+QpaOkWqmJZhRg2B22jTml1OfNJSpIZeQLPUoDg2iK5H+HEsSTRZG6ft4yRc6tUXr2bmyKzkYIuY0PcRUYye1rriVlEUMsUMw+uGmD06i6/4qOLcLrkkJimJ1UO35ZBk6Mt0yShZcAhFJCJVdp0BDFOnMlfrJlHGUXRe97lzHEnH12v7hEmHOhZx14PdwSsqqkI2n0FVVbyGLwVzZ+41EoRhmMTcy9AfRZVdOt3QEmylitt0iZNdIN3WCTwpsDuDn3oitvP9WRqlJsTSy53tyVIvNbqBRABKLBcvdtbCa3pdW4kMCxLSWqR0dgbi83YMWsnAraap2Hkbr8X5g6bnVBSGiOQ/SQypKrvwhkbohpICE0a4LU8GJyX0Huld14kjuSsTB7EkAlnyeVcXasRCDv9qmpzxyOTS9IwUWZ5eZv7UIkNrBskU0tRLTblLkew8SIymSs9wEYFg4dQSx3efome4SHG40LVvFQbyWCmT2lKDVC7FhsvWsDRVkoOsQKaYYXBVP7UliRos9OWoLNQ4+NMj+I7P+kvXELgBM8cX5ECrEPQM5ekf62PNRavY9YO92JmzKEolWTg88I1HSWVtDNNgxcZhrrv5SjLFl3fX9bzX6Dkwix2G+XPVjTfeyB//8R/zyU9+kptvvpk/+qM/IpvNctttt/GFL3yBt7zlLXziE5847za33XYbhw8f5vDhw9x6661cdtll3cdy88038/3vf58VK1Zwyy23POM5O772F1PnWgBeCC5x8+bNPPLII1x55ZXnNeAu1M8oocg/P+9zvILrmRqwz1RDQ0PP+9in1i+EQO982DuC+YknnqBQKLwsqWfPdc7nGg5YN97PuvGzWyO+7/PEE0+wed0Qh09XiYUgn09h2QYYKldcPM7MfJV/+PZuhAJxJAjCkIXlJhlbQVU0Vq/qY3quyt/8/QN4oezgul6A54f092ZJ2wbXXLWOm995KX/z+fuYmi4ThBFO2+PovlnWbx/h0itXMzFVZqCoU1+o89D+ckJoEXgtCLwSO69azdR0hXWrB/iVD17DN77/BLv2nqFabeOHEbmsTWHLMItzNSxL53f//Zs4eWSBB+47SrnSotX2yWQthlb30qi28Z2At918KYbl8v0fnEg8xRG6paNbGpGeRvUiBkfy/M4n38Ln//p+5k4t47b8JN1TJYiljcTQNPqGcnz7249zbM8EouUT+FEiQhRJ7LB1hBJz+tQSh56cwS83Ob0rQNUU0hmLth/Sbvls2DLCum2j7N99hrDl4y5UKTVdKShMHRHFtFsefSuLjG4c4szBWdk1DSKaTY9UbxaQCwsU6BkuMLJxmNP7p4jDmMCPQAmwi1kUAX7bw1QU7KzF8IYRFiZLeEGEZugEXoSZsdFUhVapgRpFqJpGz4peQs2gfmYeRZOiUdOlVzh0fGLfx7CL9AwX8Ost2ss1Ke5UVfoQNSUJFpL87Z6RHoTv0yo18NsuhmkQej5aLk1tsY7TdDHTlpwL8AKWWy6h62NlbQInAkVhZO0Qc8fnAYVMMSvJRIFEIqqKglCkuNZtHcMyaJabKNrZwKNOF7xjk4lE3PXMe20vCfxREKroHtcJJSKxwBumRrvhJp3ls531OIxRdZUwCCVHX5PDoB3hfm7FQYxqaSCU7hBpEErCikAgojAZ2JSfRxEmg6Sctex0iDaSEKOAIvGNbtvreubP1tnB0U53XUk63R06Tae6t00Y393HHAvchoeiPft2vzjntyKOJelIS+mS1GJoXba71/IIE9uMburopk7vyP+Xvf+Oluw8z3vB3857Vz51cuicgG40Gt2IjUCAOQeRFCVSsmUlz1zKsuUr2SPZ46vRXTMWqTUcmhblJImSIIoyJQYxBzAiELm7gc7p9OmTQ+WqndP88e2qbpAERZEg6Qv1y8W1GufsU7Ur7Xq+93ve31Nh5eLalWPDCDmjuzhdN9slycR0JY9uaThth5HpYS6fXGT2yBxmwaRTF7uDVtEgX8nRrXXJV/I4HZeRmSpWSRxz5vHz+E5A4IRs3lVl16FtNFZbJHFCY7lJa6PDyKYqF4/O0Wv2iMIYu2VjFUz2Hd5NHItdAq/ns3B6idHNI8wdn0fRVSZ2jKPpKp1aF7fnMb51lE17pjj/9CXMnI6qqcyfXqRT7zG1c4KpHRMEfsilZ+cpVgscfvMtz/sc/7D1w1Bc+vXv/t2/4+DBg7zvfe/jZS97GWEYsnv3bj7wgQ/wa7/2a99x+z/90z/NRz/6Ufbu3cu+ffsGP+92u3zuc58DYGlpiaWlpR/ikV2pvqD+nd/5Hf76r/+ad7zjHfzBH/wBb3/726nValSr1QFWsY9WvPrfhUIBTdMYHRW4y2vi/Fr9OOv+++/nZ37mZzAM47v+fn19nRtvvJGXvexlfOADHxi8T/8h9Y9CoPc7EWEYcvr0adI0Zf/+/T/SD7Qsy5ybq/Ho8RqyLHNo3ww7Nn93r1KSJBw7doxCocC73rKf//aRR1haEwESsiSxb9cktx/Ywle/dZZmx2XPrnHOnVsTDPMoph3CoRtGuOPmbXzhKyepNXps2TbC5Qs1fD8iTmI2al127RjjHW+9Rdg1FhuMjRbxw4i4Jljml8+vYw4ZqDqU1ZDHz3aIgVzRwHVD4ijGbrlcvlynWMlxz527ePTIHKcvrDGzqYrT8TP7i8uEUWKkWuAVL7ueyA55/IlZqsM5muuiK9vtuoxbJUpFi/GdE7zy1Tfw3v/PJ4mDGL2o4zddAj/EtHT0nIKeN3nTz9zKudOrbCw0QRE85ijDO2qmRs7URffN9pg7No/f8QYIvyRLPbQKBnIKkSKz0bJpzm2QBDGqrqAmCt16j8Jwgbf/0t0szjd46rFLtGtdnJVG1olXhCXFDSiMl9l6z04aCw3mTq9itxwxKJkkFEsm5UoOt5rH80Kqm4ZoLre5fGYNz/YHHgUrZxAnCXGcIzV0JnZP4NR7rC028W1/QP/QDEEaiTUNtZRnx8GttFdb2F2X0HGyTrMYgkwR1oo0SQmDiM5yne5SjcALSYJQbPdLUjZkKASuJAn/dXt+DXtdCCCvZSMPFSiNVQiSlKXzq8iqjCb8EbTXBBEoCiLoeuimRiorrC82cHseZsHMPNw+pdEidtPGLBiCpEOKmTcJbJ80TjAsU/jrVRVJijPfs0ToZchHVcbuD1Mq8mA4MY5igfCMrvi3ZVnGs/1BR12SpCsedQmsgoHvBPi2T90Lr5rGZGBXIU2zgUYFEGmjaSTeQ6oubF5pCrmyORD8fk/YdEI/GpyLuG+xM6CZGmrmFR/sAkRXdh7EoKo0WIQoipxZUgSdRpYFpnKAeySj5EjpoLPe97ErEgO7ynPqalM7DG5LzEWIYbsM+AKAmi2GVF1Yj5JsTiCO4sGCN8loN0kqdnQ0U8W3fRrLTSa2jxJ6kdjBAFobHTRDFajGlsPE9jE2XTfFU194JltshDRWWvRpN2uzG+g5ncAJmD+1RGmkyNimYQIn4MLRS5x46DSaoTM8XSVfspjaOUGubHH28QuD9M+JbWOsXFihvtLkic8+jd1yGZ4ZYmO+zuSOMUojRdobHRorLW57wyGcrsfq7BpJnOI7IcNTFaZ3ia61YemUR0pcODonfOcSDE8OMbp5+AX7PulTd14IDvprX/taXvva135fx957771sbGx8x88rlcoPvEX//dRnPvMZ5ufn+cxnPsMf/MEf8NWvfpVer/d9//3zhRhdq+9R1zCLP3T94i/+Iq95zWue1+KSz+f5mZ/5GT7+8Y/zG7/xG/zVX/3VP/g+XrQC/eqLZX9QdG5ujmazyeHDh3/kiWPfemaVbz2zSirI03zpwdO8600387LDu7/j2DNnzhCGIYcOHUJVVX7zl1/GkZMLNDsuM+MVDu6bwcgIMBJQLFns3TdNvdal3XGR5Jh3/dSNrDd6fPXRc9RbDo4fURjJUUkluh0XK6fz//it1xDFCZ//8nEaLQfHDymXLKrlHPWmjecJBvNUISboWnTaHsigKjKGruLGMWmc0uv6vPF1B2g3etz/l4/iucIKMjVTYXWlTa/nD+wve/dO818+8ADLl+tUqnkmJiusrrTo9TzW1jpcd90kP/XTt/DQg+ep14S1xAkSfMdH8hN8J0BVTA7euYXr9k/zh+/5IqapEZEipSlRvUcapSRBjFKQKW8ZQgdiJ0SzBMYNSyd1hB0jDmISRWZ67xR6nCIlKZIqk6SI4J0YvMyPfPHsGhNTZVLbhTghlQU/XVUVIj8k7Lq49R7tusPYdIVcXmfJXhWCXxad2ThOOHTvHp74xlliP6I0nEczFDbsNSI/xPdDMRwpSZSnh1ibqyGnKZWRoqBwdF0CJ0BWZVRFEdSVnMnK5TqR42EVLFIpsx6EEVEYoZkaklDhSJJEd0F86cqKArpG5ESkcYykqAM/s2rpxLZDd7018OumSUKv3mV4ZxFLVui0HUI3oDBcZGN2RdhHJElYVDI/e344R+D4g8FN3xWPEcDMG0zummTx9CKSJ2e7CMK2ESeiu62bGlGaolm6QOittpBVESufIciJwn7HOPPuGyqSmpA4Wac8TrPfAYnYJcik+oDJLYZNU+L42/Gr3y6yJOh38pMUYlANYcuRdZlcQdgcUiMl8mM0Q8787OLbSdEzb3w2i4Ak7DVRIF4nkhTPEchJzRA7Cl7PQ80oT4qcCiuPJGHmDNyeO5ht0CyNOIghEQsJQW8RwVT9Ac6ru+tiOFdgMAffnX1LTyI+axJi9yVXtoijmFzJolvvDRjszZUWRk7Hbrvi+SBbxFz1nolDQbOx2y61xSaaqRH4IYomo+kahUqe6vQQ63MbrF+uMb1rgtJwgY2FujidbFdAkoX9ZnhmCHlDwm36nH9ylurkEJXxkiDymAbb9m9Ctwyaqw3KoyVuevk+5p5dwG475Ms5hicrNNdaqE2bwlABzdCwWw4nHjyNosqMbRkZPF/ViQpvfPcrWb64RuRH1JebHP3q8ee8I3otm+WLq4NFlm5p7Lt7Dzfe+8NnaMCVrfPns7j8rxJU9MNW/7n627/9W7785S8PiDBBEPBXf/VXjIyM0Ov1BnjF/v8dx6HX69HpdLj//vsxze+ejnutrtWPsv6+RWs+n+cDH/gA73rXu3jzm9/8A93Hi1agf3tJksTy8jJ33HHH825JvFC1st7hsWfXkCSJydESaZpSa9p8/IvPcOuNmyle5XGcn59ndXWVw4cPD7zyQ+UcL79zz3fc7tbpYWTlIq4XYlkak1MVIgm2TpjEScKHP/0UPS9AlkRnq217VMs5CkMWtx/aSi5n8J/++1dZrXUBYcWo1XtUKzkKpk61mufwLpMjRwMuXVoHxNa95wTohoquycSyxF0v2YXT8fjzv34czwlIU1g4t06+bHHL3TuZX2xwy4Et3HZoK7//Hz5JfaUt7DZtj/piiz23bKFte4yPlfjlX7qHz37hOM8em6dnBwRxgmkqDG8qEnsSSRjzMz93OykSf/anD7O0IIgn+aKBVdCRlQKRE7FzzwS3vnQ3n/30M9TmF/CcAEVX0HSVSJbIFUS3dmznKB03ZHWlRdTxBENak7OQlhQrp5MkKV/+/LNsLLRYPLFIb6MDaZ/tLbqEhiXSNtfnGiRxzOIzl7NBVBlFlnF6HvlCmd03bSYlxet5SBJsXFjF7zqokkQcpbhdj0LZojw1hGLpNBcaKKqC6whE4NCmYZqLdUI3RDahOFLEGimxdHweVVMIAkHpqW4epT63nnm4U4GUmxii2+iS+CFGzkAiQdUNMRwaRaSZR1k1NBTDpHZZCPm+MEqTlDSMCR2fse2TpFFIa7FOd61JnInkfoeYOCGOIqyCiVTO4dseXs8lX84T+RGRH7Jp7wyrF9ZIU4nySEkMw0opXsdDRmjFwAlQNAXN1OlsdERYk6YSyhFJGAl7Th+nGAt/uqzIeF1PsPmTVAQixQlCiArrST/uXjc13J4nOuoSKPJzrWhXX3RlWcZ3/EHnvd999u1A7GgkyYDMEkexmDXwnzucGQdi8DAmvUKtSYXtIgrFayAJQz5pSjYwScadz+g6Yq0lhHx2LrIsQyIGO6MsIfVKd1zsioSZhx2JgcBWVEUkxH6bvSYVHwBSCaQkwW45GJaGosgYOZ0gC1YK/ZDASzNyjIykyMzsmmDh7LLY6TE1Ai8cDKKGnpgDEEmrErlSDtVQcbsuQxMVOqcWOfv4BTRTzTjrwtpRGMvRbdoUKnnslkOuZJL4Kc21Ns987UTG6A/ZfesORmaGAbEAXL6wyv57r2fTdVOcffJi9jqBZ/tUxsvsuW0HtcUGyxfXcHsec8cX8BwPTdcZ2SRuRzM0tuwVzPOhiTIXjlxi9dI6w1NDeI7H5ZMLFKoFNu+dRpIlOvUupx45x/TOSUZmfrg0TbhixfxBMYv/V6vrr7+e3bt3Dx7v+Pg4b37zm7+vYdiPfOQj1wT6D1DXMIsvTH0/C3JN02i1Wj/Q7b/oBXqaprRaLaIoYvfu3RSLxR/5fV6cr+EFEcNlceGQJIlKyaLRcri81OSG3ZM02w5f/9YpTpy+wC03XT/otF9drhdy9Pg8jZbD5ukqB66f4qazMzxzeok4G4qbHi9zx4EqF+brrNe7XLd7nHNnVmm3XaI4Yb3WZc/2MV790r0cO7HA3GKD6ZkhiFM6bZckSdmo9ZicKHNwf5k40lhcshkeKRL5MY31Dkmc4DshkgLDMxVees8e3vt/foY4TigO5XDsgDRNsdse586uMbN1mDtu285HP/IY7fUuVk7Hz7jFYRgze2KJ6X2TvOIV+3jqyGVmZzfYsm2E5kYb34uwo5hto+O4asDOnaNMTg/xN3/9BKapMTEzxOpCg17HI1dQmJocwnMj3vJzd/DNr57GbjiYOV3YHwIRVFOs5pBTkAyFqQPTrH/xNKEXomY+3ThMUA2VoeE8zVoPzdJF0uFSAylN0ZRMwEcxRs4gVzTpNHuoukaaJNjzdSBFy7rYpLD/1q0UR0tcOrdGFEbEQYS31iQNxYBkIlwiVDeNUJqs0G04xC1XkD6SBMPSSUhJUw2lWKAyWcZQZdyeR69uC4Z5LASibuqECciFHCPTQ5imRrvWJQqF/WBAIVFEmqukKqiGxvDWMewNwbIPXD9brCgC35hZKyQJdF3Bb3VoL24QeyGJnw19ygKoHofxQMMqqkS30SNNEqJI4PgEhlGjU7PptWzylTyKphDavrDkpCmBF1yxoFgWbschjhL0nEEURAL7Z6gkmT/a7bmkCDHltB2B4pQVJElYMMIgRFXUgXjtn6/n+IPPV59a0ne49Jno/fNQVJk0ENwVMSR6xRsvyWIR0FxtCRykJA+GMvuCGxi8TiKIKEJR5Ay7KQ0INVZeJUlTQk944SVZIgpDJFm+yl8vbtLMG4K844dEQYxuClrMc5CVwuqeiXIGXv7QFwSeKIy+q/VFor9QEL/z7IBcSQzOStltK5oK2eCukTdwOg5O10U3dTzbE2FkspRZYLKs1jQd/L6+1BALj66wGgF06j3MgkF1okKn3mN82yhb9k3z5OeOkcQJTs9F9jIkZpxQX25h5Q3sjsPJR84iy6ILrmoKrbU2X/mLB5EkKFRyKKoiRPlSk415kWpanRoijmIWTi+xcGYZu+1QHi3xtb98iMNvvoWZPVfAAdXJIe54080ceeA4tcUGKSmlkSI7Dm4dhFCVhosiTXWt9YIJdPF+/u5BRS80EvgnWXEc8853vpM/+7M/wzRNJEnic5/7HJqmDXYSnq9T2el0vquX/lpdqx9FfepTn+JTn/rUc372L//lv8SyrOf9G9u2efjhh9m9+zudE99PvagFuiRJ2LbNkSNHMAyDQqHwY7nfYt5AkWXCqygKYRijqQqFvMHKeof3f+hrXFpYR9d1ZldPcOzMGr/+Cy8ZdNc36l3e/9+/xsJSU2y/KhKHbtzMr/z8Xdx642aW1tqU8gYHrp9mcX6WtUadNAVdV7l+7xQbtS7NpgMS/PLP30Uiw6e+doKNRo+eF5ArakyXTTotIXRe8bItGHrI08fbrK13aHUdSkWLUa1Cs94jDhOqMxb/7BcP8+iDF6itdZEkiNUY01QJgljYR8KI1798H7WVNqeeukwUJihaiq6rhFFMlMT4bsitB7egGDKf+vjTeB2P7lCOoYpBrR4TBlDb6HLd9RMcvmcXX/7iCRbOr1EumORLJoWSSavRw+mmhJWE2+7eSbfnM3t2jWI5R5gmGEM53LpNHCYEtvDXztwwhb3WgyRFszSiKEGxNKKM9tFpOiBL7LtrJ6tzNWQgkWUSVUY1dCIvIHQDOhmj+/rDO1m9XKOdJGLIUZOREhEmM3dyieKMx/h0BcPUaMyuYfsBsipCXZI4ISGhvbBBhER1sgKA07YJuh52xyVfFtHphWoOP0pwmjbV8RJpCl7HEoz2ICZfyhHYPoqm4McSznoHw9RQTZk0ztNbbxE4AflqHiWKCXpglgvEjk8SCiKHqZrYQUAUROg5HSWFOPMWl6t5Lh+/nMXZC35MHMaZHUIijYUvWtVFSmi31oY0HeACkRKGxioEti8EtizhOj69hkgz7VNSkjgLokoFyaYvyEhF+mrgBsKiYKpEC7EYDu5bODLmuZJxuWVZxipahF5I6IdC9PTb1FmJdM1UsPUVOUvTzPjsKSIlFgbd836vRAh2iTBKB4FT/VkH+sd/W1kFA7vlDoKAhCffIVc0kSSxfyBLwjtfqFh06naG1QRFV7KQLiUTbhKJIhOnwvoiqyJsCMR5mHkd3wmy4yGR0sHzGEfP7Z5LsjQIBkICWRI+d0kSnvLmRntgD8qVciRxTLFaoFsX2EzN0KgvNSkOFwjcALfrA+LnWl4b4CKjMCJfydOtd6kvNyhWC9nMgYyVtyhU8+IzIK+zMV9n83VTFIcLrFxcR1YlDE0XHHdVcPRn9kyxsVintdbm3NMXqU5VWL64SrvWZWTTMJM7xhh2q6zP1xiarDC5c4Ivf+gbBH6IbmiMbhpm4fQSVsFk6/5NGJbO8oU1vnL/Q7z1f38dpeErjZztB7YwvXuS9noHpJRHPv7kc6gMfYymZrwwgTnPx0CHF18Hvdfr8clPfpK//uu/HjzmG264YbCL8L3Y5kNDQ7z//e//sZzni66uedD/wXXs2DH+/M///Dk/++hHP/r3/p2u6/zRH/3RD3SfL1qBLkkSYRhy9OhRpqamaLfbRNG3+01/NLV31wRTYwUuL7dRVJH8aTsBB/fNsGVqiA997DEuLWwwMVKkVCoShjFnL63z8FOzvPbevQB86gvPMDdfZ3SkgKYquF7IU89c5sANM9x7eBcHsy1YgGVZZnw4R87SaLQdquUc4+MlgiRhx6ZhZiYr/Ne/eQTbD9AyfnbH9pEKJqXhPKPDJjnT5ZlzMasb3QETuNGyGSrn2bRtFEWRuffuEiePLvPsyRUxkBbHuFlkdz6nk0YJ99yzh8SN+Ov7H8X3RPfScwNUVcHKG7iJz8hokfywxX97/wM0FoX9xW44KCpM76qSqAa33LyFPXsm+MIXT3D8a2cJnYCe3EGWJcyCxsh0mVIpz7t+4U4ee3yWz33mKPVaF1VTKZRMKlNDBMMFOutd7rhnF6u2x+pcnV6tJwbichqqrmAWiqiZN33XgRmW17rMnl6hvdwSYUCmgoREabKC07SJwxC1YGEVTC5f2KC32uy/4UhTQQ+RJFi+VKMsyfgdh8Zig/ZyQxyXDeUpqoKiygReSOCGtDc6uLUOUhAipwlez8O0NMy8QWWmyuUTi0RBhOsERB0HOQpJo5DYBa8rhmEndkywvlgncQPRmY4TimNlfNsjcn38niCJ5IbyJJJEe72DltNFiExReI7dZk943jNmvGxoLF1YEYJcEedM36+fpsikIMukcYJZtGivtwd2IFmWSRADb1KaUJmuEngebtvBKlmEWddcyQKX+tYORVUojhTp1rqC859At9lD00WAzNrcBvlyjhTx+gS2PEAyxkEkOvuZZSPwhGVG0RSMnIHX8wZddUmCNL4yPOrbwp4iK2JnII3TwWuWxGIR1ueMu1lYkbDOiAHPNFPofXvK1Z0/u+U+5xrRqXWzYdcYTRfpSCINFXpN9zlfbnEQi6AlksEAYRwLT34UhMLvLl2xJonEUmlAyRDnITz5SSiEuiQhCEiKjJHT8Gxv0O2GjHmeCtxkmpn/3a6DlFlbzLw52I1IkpRey0HVVFRDLIKuu30HS+fWsLvOwCoUeAFIEpEf022IZN8kScgXc/Qf8NSOcS4enePMExfpB1eJHQAYGq+IYKCCSbdlky/n6DVtagsNnvriMRHMJEtUxoQ/XdVUKqMlLh6d4+Arb6QyVmLu2Xn0nD4Iedq2fxNDWciQudtk4cwS5568yOimETRDZXzrKIqqYFg6Yxl1a9tNWzj2leMkqRjKbq93GNsyzMS2781D/n7r+RCL8OIT6GEoFs+bN2/mla98JW95y1t49atf/Zyu5BX+/5Vsk6t/dy2g6Fr9OOotb3kLW7duBcR18pd/+Zd5//vfPwjV+vaSZZlKpcIdd9zxAxFc4EUs0AGazSa5XI7rrruOp59++ntiD1/I0lSFn3/jjXzygROsN0W39aWHd/GO1x0E4MljFzANlVJJdGk0TUGRJc7PbfDae8H3Qx56YpYgjGl1XAo5E8vUaLVdTp1d4d7Du0iSlNPnV5m9XKPbrrN9c4mX3r6Lrz12nstLDUBitFrgnkM7+OyXjjN7foNdu8ZQUlhbEbaVWr3H1ukhtk5KyOYYc0unGB0rIqewsdYhDhM2al0mxkq85TX76bTnOX5ymVLJIpmpsDrfELQPxycKI0Yny7zh1fv5o//0AEEQMr5piJULG6SRCHSxYw9dV7jnVXv51iMXsGs2Vt7AD8RFOopgda7Nvrt2csstW/jKN86yfHZN0FM00V1J0gS3G2CVI17xzv3Mzde5fKnG5m2j2E13EDg0PFxASWFo1zj3vW4//+0DX8HLkgvDnoi1Vy2V8ckSvYbLntunGZkZ4uTxJ8nldMyiSegGhEFEdbQoBK+qMLN3mma9R3u1jWaoIvjHCSBJKJYsXC8gCiOKoyXaKy1qZxw0TRHE8lRE1puWRRBExIGIWg9dH2+1jpQKYRcFMaqZMLypSq8X0G06pLHogjpLG7hZ6E+aQBLFlHaMEyILG1GUDBIhlSyhFUMnX8oxs3Oc9bkaiSThtu0BR1zWFXwvIo7BKOWY2TNJY7lJ4IaEQYTfEzQZXRdWjCiIBJs9b1AeK9NaaRF4AZEXClZ3llYZhYJvLyGY5qHri8HMUHS1+8K4b8GQM0tHEidYBbGT5LsiGEpSJHRTp7YkFjqaqWF3bXJFCykVHvQojIgzIo2iq9htZyCgzZwuhiT9ADOfx2k7xHECada1T0RXXJIFl1xWhCUFiQGbve+rVjSFNEgHA5+SBEkkDQZj04yMA0Ls98OAlAxHmKYJSSwGg30nIPDEEG0aJ8iqQhiK/+6TZ/qvtdQ/F6SBbQYkNFMZMOTjKMbteWKRHSYk8VVDh4qwnKiKmqFaRSqr2/MGZJarVwb9c+8HRQlxHYmh0YzuEicJuqGiaAq6pZOv5KgtNKivtKhOVeie7CHrshBXCNtQHCdiILho4XY9NhbrDKdVRjeNUBkrsXTeIIkTitUCkiTRXGszPF3mulv28NQXnhFi3w0w8saAoNOudTFzBt2NLk998Rn233s9I9NVQj9i4cwynh2IcKFqgaHxEtfdvoujXz1BvnRFCMqyRLfe48G/eQyzYKKoClM7xrnnHXdQGb1CCtl31x5kRWL22DxxGLHz4Fb23XMdZv6FmW36XhzwF5tAb7VaaJrGH/7hH/LAAw/wnve8h9/6rd/illtu4XWvex2veMUrviOrJMloR89nA7pW30f9GDzoL7YO+oEDBzhw4MDgv3/pl36Jn/3Zn/17g4p+mHpRC/Tx8XFGRkYGFJcfl0AHGBsu8KZ7t7B33wFkWcIyxfbn2bNnsQwZP9QHx/YJEZWSRRTFfOhjj9No2URRjBdGtDseYyPCnmOZGnGccP/fPM6jT80ShjFBGFIuaPzWv3gt128f59JSA0NTaNds/uSPH6TR7GG7AZ21HnsPbWJ4uEC9buP6AQf35piYmeSrj8+zXu/RcQPyls6mbSN0Ww5+GPPTb7uFzZurfOC/PsXahkPb9inkDKa2jlDf6BC4Ebv3T/HzP3cnn/3cs5w4ITi5lUqOsS1VGmsdAjvAyuv89D+5g0iVmH1mCd8NMXMSiiKRpjJJxqnee/04Dx+5xBOPXMC73BxYHMJQBANJgCHLqKbKA588gtd2cRs2pZJJFMa0mw4rS01mNlW55a6dPPSNc9gtFyWO6bUCFEsjtgNiL6JTcxibLHPDrdv42meOCb+5LCFbOoqpEbkhvaaDpMgUq3mmd4+z8UBNoPNSMHI6ii1Ci1rZ8K1VMNl581aeeeCkEEeKhpY3CLPj+sJRUWQ2HdjC/Kll4iDCyL7gtUxszZ9cZPqGzUJoByGNs8vY9Q6yKqEoqmBvJwkrpxeZuXUXkiIQkI3LG9gth7EtI0JMyzKyZVFb6SDrKpquoec0araH3/MoVIRv1mn2ULKQp9CPUU0dI29hN9r4QYiqyqiGSjeISOKUsa2jNJaaJLHwiiuKBDaQMhiijOMEVRVd1/VLayLYRleFQCfDBGZd22ykkyCIsC9v0E8ETZIERRJfxFEYISHR6zhCuCPTqXWfgx5EEqK8LwqlTEj3769ULZAmqRhmDCORpyExsI/0v/hlWeAFU0PFdwLRUU8ZDIcO/i2JMCMkiUIlR6/tDLrvomvvk171bSgsLTGapRO4AVFm09FNDc3UCL3wik3mKiyirIruc//nuqWRJimGZYhkUinKUIvpFXtQVnKGh+xz4IXoF4z40IvEroF4ETKsopL52ftkmCs7Cr2Wky02UsyC8A0PTZQJXJFoWhopsjFfZ/q6SWRFwum42fkr6KY+QFBGQUSxmqe51qa13sZ3Ai4cnSOJY2b2TDG1Y5zWeofQv0BrtQtIGDmd9cs1itW8eMy+wGwWqwUmt42xdGGVTr3L7LHLFCo5Lp9aRJIlpndPoukqTseludpkcsc4jZUWZ5+4gFW0UDWFldl1muttKhNlZnZPEoUR86cWefLzx3jlL7xk8FxqusqNL9nL9XfsJg7jF0yY9+t7WVz+oZjF/9WrH7z01re+lfvuu4+VlRWOHz/Ogw8+yEc/+lH+5E/+hK1bt/LSl76Uw4cPc911110T5dfqf4m6dOkSIyPfHZ39QtWLWqBfvSX24xbo/fvL564I8aWlJRYXF3nzq27mrz59jLVaF8vU6No+hbzBXYe2c/L8Ks+cXmJsvMjaSgdFkgijmJW1DmMjBW6/eRsnzizzrScvkrMMRocNerbN+kaXT3zuGX7zf3s5W6arrK62+X/96cMEfsT4WJml9Tbdtsu5Z5c5eNdWOl5AqZyydcsYj51vI6kSheyLxnZ9FFmiUM2xZ6LCwZs28ccffgQvTEQXNU5odz2qlRzbdo4jSxK/+Ruv4mOfeJrTZ1bQDRXXDmg0bcoliz37Z1hbbfOuf3Inuq7wkQ8/SpgNcLqZnULEsvsUCxqz63VOPzSPs9YT/uZsO1/RJBRVRZVk9ILBV792mrUza8RBRFOW0FSFymiB0ZkKN9+yjYnpCseOzTN/ZpXG7AYkCXLm2S2PFslV8rz6zQdYnG/yjS+fYv5SnSiIMHMGhRGT0dEitaUGpZJFaoko+9NPXMLr+QOBbeZNdFOnu94GWUIvGOg5kwtH50UEeyYSVV2lMDlEb6NDmiRYJYv8UIHGepfYzQYXUwakjTiICXoevhfirzQJ2jZSGGTMcgWQ0HQRLR8HIX7PR9UVlChElhIiL6Jb6yIpEuXxMq4X0W32KA4XhEXB0OhYOn7HoVvrICsKek5HzlksnV9FUiTkVKD8jHKe0A/xbB81jJBIkVWVdt3G6TiohoaZM4iiGCNv4Ds+oS+85WSDhW7XJYmE3134pgUyUvDbZbG7EKcoukpge6RJKgRlLGwOSSJ8zVbRpL3RIQ1CSKC+VL+KeHIlwEc3BWIzDkSwkNN1UTKSSbdpE/ohVt7AyJeIo5heyyb0QuI4EUSZDOuYxEk23Kmg5dTBgGZfN6cZ+7tvM+k27GxBoJCCIMZIEiRcZTkRwtm3fdENzM498MNBQNF36z4NxHn2e98W9p0kScXiiKsWGd/290mcEjihQE7K8YB/32evJ3E64MXLqkyuksNpuxDFgx2ANE0H1Jo+6tKzBSKyNFJAkiVhdVEV0jRl5fwqsiJjFU3iMGbHTVtwOi7r8zU0XcXteXiOnyXJxlw4cglVF2jIbr1Lsm2U8miR0W0jXD6+wNnHzg/eF/3djNEtw3QbvQFNaHL7OJEfs3JxjSiIaG10GN8yitt10YaL5EoWtaUGp751FrNggAQXj85h5A0CN6A8UmLb/s1IkoSu6FSnhrh8coFnvnESWZIpj5WY3jWBogpClKa/8F+hz2dxCcOQMAxfVAL9hhtu4OjRowBUq1Wq1Sr79u3j9a9/PWfOnOHJJ5/k0Ucf5aMf/Sgf//jH2b59Oy9/+cvZu3cvmzdv/pET2V60dc2D/kPXli1bvufvXdf9ngOk30/9o1mKKoryY/Og9+/v6kGiZrPJqVOnOHDgAPfevod/8pZbGB8pkqawa8sIv/qOw+zYMsLSWps4Sdk0M8zEZDlbZAjh9pbX3cTuHWN87ZFz1Jo2jbZNs+MgSxKWpTE3X6Ob2RG++s0z1Oo9Ekn4VUeG8uiGRqtpc2muRk5LuHFrhcUVmLuwwXi1wOYtAjMWh8L+Ypkar3/FDXzp66c5fXoFTZMZmyyKre0wYn29g+uF3HfvHhYWm5w4tUyxZLFl+yha1oFrNm2Wl5ps3TbC/gMzfPHzzyJLEuMzQ8iaQhqnxGGC2/EwNJWxHWXOHV/ArvfQTAXJ1ECSSKKYyE+EaNQV9GoOb7WLlKTImoKkyKQyNNY66JLEwTu2cvzEIrquEjVsYWSWJMiY2N21Dnv2TaHoGvOX64xNlNm0bQRJArvrYurCV18eLvK6n7uDKE5oNxzyFQsjbxCFMWkckysYJKTkh4vsuHMnYQSdloOsqcIaECUoioSiqUiKjFXJU9k9RaiodFpZp1WWM79t30MsXnNZVWmcW6Y9t4bXssVAIkJIyYp8xWstSaRBSP3MAhsXVgg6DonrkYYBeimPYhmC5Z2kWJaOGoVcfuo8bqNDEoVEXoBq6eSGS0J8BRFpnIhurh8R+DFGMcfmGzZTHClhFHJoOQO35YhBP00lihN8N0AzNHLlHBM7JjAsA8VQUVQZt+sK/7IiBkdVVUHRFfScSa5kZd5m0ZVNk76QFZ+dvgiKAjHglyYJSZAQeiFRhhLsi9/+/3w3QLdERzpJYnwnwMl8477rY+QN4cHOurqqpmIVLYEn9MVcAKTEkbDA9JM0dUNDliXBmpck4jAZDGgapi5oOaaOoquomrCe9IdMkzgZ8Nf7vvurhZ6syGKRoimDx3T1MKckiU54n6cOwuLkdl3crkvgBYLEoz732nN1pYn4vKUZsaYvbGVVRtFlxFoppdewBx36JE4G59IXjooqD84njmJqCw3crksUhHiOLxZ8lk6hkmdy+zhKRlgZnhoCRJCWLMvouoaqqyiaTBxFlIaLSLLEpeMLLJ5ZRpIkrJKwm8iqzNYbNzO+dQyraLJpzxR7bt2BjGC/q6rM0ESZ4nBhgJW08gYrs2sceeBZOnWxw7WxUOfsE7OszW0wPD1MZbzE3rt289J33cnY5uHnCAu35zF/apFvfeJJHv/cEb5y/4N86++euorF/8LX81lcbNsGeFFRXGRZZmhoaPDf/fdZsVjk1ltv5d3vfjd/+Zd/yQc/+EHe8Y53MDs7yz//5/+cX/mVX+E973nPQNxfq2v1466VlRVuvvlmDh06xL333vsdv3/rW9/Km970JhYXF3/g+3hRd9Dhyra3qqo/1g66LMuDBYHruhw9epTdu3cPtkRecttO7rplO74fYWVf9gDlovDeJmnK5s3DTE5WWKt1KJcsXnHPdXzu66c4cnIBP4hI0pSu7VPMa0gkaJqKrit89aGzPPDN07heSBAJi8zwUJ7RagHb8bn30AzdxgZPPt5kdX2ejuPTWuqwc98kBw5tZnW1TRgn/Nzbb+cjH3mUE8cWRKCMLJEfybF95zidpksQRvzMT99KIsPffOYIaxsd2rZHqWCyfc8E9Y0OnZbLnffs4pbbt3P/Xz3K+fNrSLJEqWRSnrRwWiFBL6BUsfipn76FZy6tMXd2jshP0fMyRlHHTxNST4jTYkVjfOcw6xttGhfqgm2tawP7iyJLqDJ89cFznDq+iB6ntNY7ohubknlqhdjp1Ht8+bPPkkQxK5c2kIDyUJ5mvcfyfJ2RsRJbd4+zvtLG7/gYOZ1ew0Y2hLiM/ZiN5RaarjC2ZRgpTkW3X5UIwhizksepd3G7HqEfiSCUyQpyzqC90EA1hBfYLOVwG13cjoue0yEFs2CSH6+wdm5ZEDE0BSVnkPghoRegWzokErIMZqVE7dIaaRiimRpKJqI66220Yo788Ci5skXtfMTGfI2g0RLd7cxzHQYhvY0W42NbKQ5rrDouge2haYI4Y7dskhS0vEmw3ELPm5g5g16ji2+7kCZYeQvP9nG6LmNbRccyTVLypZywnGQLRzNv4CYJURSjyGLnxGk5woJhqERZQE1/9yvNhhv7UUMrs2tXhjCvRgVm/0wQwlRRZLq13oA5Dlcxa1MI3GAg/PuYxzAbau7X1ecg9Vvm2WJZM7QBOjHNEJuqpuC7V7rYIKwyaZqi5wR/PXPCoOdV3FZMisBqXkHApORKJt2GPXhM+UoO3/GJwyQ7nys7BSnCu55kHeVcyUJRFDGQCYMgqqufp771pU9wCbwAwzKEeM+IJKEXCrJLmg4CoiRZxiyIQVtFVQExLyHLwksfx0k2dGqgGSpD45XMypRSGS3RWGmimjqyLOF0PORsTkIzVJIkJVeyiMKIkekqyxfWOPfkLCkSawtrSIrE7lt3kC/nUBSZhdPLLJ9fpTBUAAmcjoNr+7TrXbqNLsWhPHtu3UFzrc3CmWWaq20uPTNPcTiP3bLZtn/TYKizudrCdwK23biF80/PsTK7xuimYUI/Yu74PJIis+3GzYK3b3ucf2qWmT2TbNu/+R/wjfD91/NZXBxHJOm+mDroV9fzBTRdvnyZtbU1qtUq99xzD+fOneOhhx7ioYce4jOf+QxPPfUUURQNckSu1fdR1zroP3Tdf//9HD16lBtuuIG3vOUt3/H7t73tbbznPe/htttu46mnnvqOWYrvp17U7+irJ74VRSEIgu9x9Atb/Q5613Z56OHHmJ4YYfPm517QFVkmZ+nP+dmB66fZNFnh8lKDQt4QYSOSzH2378L1Ah55epbhkSKuHRCGglPdbHtYuszhV27DdUO+8NWT5AqGSNwMhZWk1uiRM3X27Bolr3Z4+kJAo+kyOVkmWW/j2AHnT6xw4M6tKDmNgzsneeLRC5w8toCmyaSpiCi3NxzWih2qIwVu2rmZqekhPvLJJ8nlDYpF4QFvdRx0XaE8WmR6ywhveNNB/vIjj1Gr98gXTXodl3q9S7lksu+mSdbW2rzr5+9gaanF/Nl1IbEk4RFWVBljyMKSVSbGSrzzn9/O//jAN2mudEXMeJQQJymqoWCYKrEf0wtD5KUm3cUWSRhD1mVVdRXDVCkUDNpNh/WNLp22S2exiUSKmnUzi8MFbrxjG0PDReZmN1h8+jK9Ro+oKSw3kgS6qWMM5alsqhJFMbYX4iy3hI1DUSmWLSqVYbxumbX5OlbRRLd0gijFWWgI64cikhVlVQFZwmn0SGWZQjmHpKn06gIJKUkQxTGaaaCOKDi1DkmSomoK+aECimngNDoo2bCjosqC8JGkBLaPZaokjotlqHRXHMGoVhUURVgaojghCSNUWaJUydHMGwS2S2e9LY5TZRTLZOH0EiRgZDYV1TJQDRW/5wvRlyRC8IeJCBmyDHRLJ/RFZ7RT7wrhnqbiecr81mEQohkaaYLgdAfhAEfY53crqoLTdUniRPjCkxTFVAb+bSHkr3wjREE0SOCU5azjnKQZDlEE7vheiNR2CLwg65iLEpcN4eHu7yKEqUhK7Q+A9jvs1akhVFXBbjsErkj6FSmhavb+zBJVHR/D0lFUhcAL8buBGJCNU9CExacvnIVNRkJWhfXE6biiE58tVoDB4qQv1Pssd6cjrDx9wf8dCOmrPO1pkuJ0XWRJdMEVVRlgLvv/jtI+7k6IaT2niQVnEIob63v/JYjDiDgU5xNHsUBIyhKdWhdVF4K+vlhH01XyFYvQj9h6wybSJGHx7AqyJNFrOpj5GFWT8Vyfi8cugQSBG3L55CJ7btvBaBYodO6pWWaPzTE0VibwQ1rrbbbt30y+lBuEMQ2Nl4mjhLmTC1w+vUiuYOJ0PVYvCRJQsVqgWC2wsVhHlmXuefvtPP7ZI2ws1IU9p5RjZvdk9vyDmTcJg5Bnvn6S2WOXMXIGW2+YYXr35PcVWvL91PNZXBzHwTCMFy33u/+YG40Gjz76KM888wyzs7NcunSJo0ePDsJeNE3juuuuQ9M03va2twHfX2DMtbpWL2R96Utf4jWveQ2f+tSn0LTvRKz+yq/8Cu985zt57Wtfy3/8j/+RD37wg//g+3hRC/Sr68dtcUGSePzEBn/5+b/BDSJmJjs4SZHDB7d9zz8r5Az+b++8i89/8xSnz69SLee5+5bt3Hf7Ti5c3sBxAyZGS1i6yuXLdbysU7Ztc5E3vHo/n/ziM1xaqKMbCvkhE7vlEYUxcZQwtrnI/n0mHSfP7NxlVFXGcQLGqkVqco9u22N5uc0tt2zl7gPb+N3f+RhxlGDlhLBwHJ84SKivdrh+7xR33b6DT37xGGfOrDA1VWFipsLyfBPfDVlZabNz6ygvve86HnniImfPrTAxXmbzthHOHF8kDFM63YCV5RZ7rp8gVzR49JELFIsmqqmx4UVEfkQcRliSjFXVedWbD3Ly2Dqhl1AdK9GVe3gtMSwYS5DIEgkpxpDEyplF4TnXZZJAgTAWgTemit0R1Io9B2Z49NPPiC5hZi8JvJB4o8POvVMce/IyhZLF2HiJucfOi0REVXRKPcdHkmDHa27gyQfPUxkpoE+oOC2XOIgxdZVC0aTXdLjuth00ux71+TqFSg4SSyAbgygL21FJQo3yzDCRLOP1PHKGPLA6xEGEnjewcgaBL6GVC+THysQ9lzhJiFzxHkhiMXioZvaJAECC+rlFmitimDMJoyyNUhqEzqSZ9708ZHLh0TM4HUd0lZMYvWCRG6mArNDpOIMAmF7TprVUE+xyWSJ1UrScgaHrgpASJeRNsbPhuwG5gkmunKM6PcTGXA0QA5h+5kFWNJGIqekqqipEtJ7TRRBQFhLUp95ISEiKJDB9kRg6jcJ4YDuQkAYYQkm68uWdysL3XaoWUVSFXksMRT/nY5t179M0FYsgVRHJrj0PzxcWGasgknsNyxh04XNlIQpzpo7ddvB6Yq5Az4a6ZVlGzzjZZk7H6XqCV25fGRIV8weywHvqGc9dSYn8SOAV4Qr6MXtt+49PCOuMzJKkWQf/u12WpMGAq3hSxG5d4ISoRoZjTEDVNWRFojAkkjxlRSbwAtJIz+gy6cBm00dKimClhFQSi5i1uRrFoTxaTifxI+FtL1mYeZPSSIGFM0u01ttsP7CFxXMr9Fq2yAnIUkcVRSBOyxNFGsttLj07j1Uw2XbjZgIvRNUUJraPMbF9DN8JaCw32X/fXuymzaOffmqw0zIyNcTCmSWULNBo7XKdyycX6DV73Pq6g/i2j5kzsAomIzNVMUC63ETVFR777BGaK63B8xdFwt/eazls2jNJFMYsnF3ittceZMfBrd/z2v791vNZXF5sBJd+BUHAN7/5TR588EGOHj3K6uoqq6urLC8vD47ZuXMn99xzD1u2bGHHjh0cOnSIO++8E0UR8w4v1kXLj6quJYn+8HX8+HE+/vGPf1dx3q98Ps/v/u7v8u53v/sHuo8XtUD/SQ6JfuvIPE+cbKCpMtVqmdWNLn/2sccZKuW4bsf49/zb8ZEiv/i226/4T7PHUK3ksUyNnu1TqeQoly0aTYee43L40AjfOnKJh5+eJYoTpFAiICY3ZFHO6fhBzEvuHsULJB59ahHHCcRWsxtSKppMjZRZjeE1d+7hhuum+dCfPkiraRNHCb2Oh26omJaKl0QMDeV4+5sP8Uf/7WtcPLFM6Md0lzrkhkz2HthMo95DVWR+/l138OAT53nwM8exaw718zWMgk51ykKiiOeFvOLV+5A1hY9/4hjLK200XaFcspjZNcLafJ3Qidm8dYSXvOJ6zl5Y5amHL9JrOVSG84xOV2hpCnbTRkZi684JXBX8RoRdDwRrXJPx8ymSDUkYiwRRU2Vouszxxy+K9ENdJUoS4jhFz+lEfsRXP3ecZttlbDiPV++RZCE9fUuCIJFEnHjoPIosrA6h7ZErmXhdj43lFlEQYRUMtl43wfznnhVR6VFCKsvkyxZO16NT72LmhAd6Yvc4s0fnBYYOCdXSscoWbsshdEMRnBSnjGweprHWIfED4ZtOIT9cpLfRJnQDFNkgylIjfS/CXm+hmzqSLNCI7dUmSRghGxppmgWCqgqXjl7C67lIWZc5TRLclk1hfIjh6SqJH9Bda4kworWG6FADsqKInRrHZ2zbuOgm91xCL6A0WsKzfbrNHtWJihCuMpTHy6RxQpwtnHLZYsZ3xftyZKZKa62Nbgg8ouf5gzAgSUZ02DUls48YhC1b7CD00Y3pFRb5oLOeCtRgq9YhiWKSLBGz332GK172/vGBHwobS79jLUsZflBYSwaV3U/gBs+x3ihan51+5dD+7ZsFkyROB0SbXNEiiiKSOBp0bJEglgSuEiUlDq7YUzRLIXRF6qR4AP0HL56j5xBgFBkto9FIsjT43RXueSKGXyUJqyjILLqpoelaFsAjjvNsH1mWiKN0QMixSgKXaOYFHjEOY0Ee8kI6rR6qowhLkCxjVQwiLyLwQgqVPPWlpiDmqDJBWywS7I478PzniqLTXhjK0VrpcPqx8zhdF7vtYFg6m6+fRpIlDEvsvJx74gI33HMdmq5y7qlZSiMF3K5HHCds2TvD9K4JJFliY6HO+uUaZx47j2kZXHfXLqySsBfqpsbEdmF/2XPrTh75xBOsz9cw8wZL51eJwoQdB7dSHhGY3I2FOmefvMDmfTMvyNDoPwaB3v+c/dmf/Rn/4l/8C8rlMo1GY7DLPT4+ztvf/nYOHDjA1q1b2bp1K/v27aNSqXzX27lW1+rHXe12e8BF/161a9cuFhYWfqD7eFELdPjJedC/9uhZJAmmJoZRVYW8pbO83uGxo3MDgR6EMYurTQxNZWq8/B0Xmv5/R1ls9mi1wO0HtvL1x85ju77Yqg8TbrxugryZ8OixOcqVHIET0mjYKKpC1xZBSTs3F6lWdL76aBNkqA7naTfFgGm74xKHMRMTZe65Yyd/+ZHHWF3rMDJeYn2pTZKmeG6IGgkxc+ddu/jK105x6eQqppENccYpdt1l7uI645uGuO/O3Wx0HB7+7AmCto+kiK6b2/Zopikz11e44eAmtu0c5VOfeZZiyaBctrBtn1bboZBXmNk+jKro/LNfvofPf+YZVlfaFMsmvbZDp+1SkSX23DDN8nyT6/dPc/CObfzpf/mGsC5kPHGAUiXP2M4i9dU2d75iN+cvrDN7ag0pjonChCgWNIx8SSeOEhFAYig46x3OXVxDyob7+t7jfMHE8wPCjBNut126XReJbIhPU9mxbwvjm6qsrLQ4c2IZt+uTxBHBRoug62YUGIV8tURxKI/vR9SW28RBhKwqVIbzmJaKO6SwclYMwBmWTiJJxEjEro+iydkQooSq55G7HiSxQBuaOlrewmnZgqGeidMECcU0SIKAKAhF+mzeRFI1nFYPJDmjnchEgeioqmlCoWzRMFUkBdprzSzBU3jYBdYvE6xRgpEzMQsWgevT3miTZl37ME7obnQwCxaKqhAlKZWJCvXFOr2WTZoIxrpmaLRrXXwnoFgt4PsBuZJJYIf4biA6xUmK7/hIkozTdgYpov1ue+iHQihnwlkgA8VwYp8TrynK4H0iZaL+2z3agSuQh1IW3JTECb4bDkKm7JaNrMr4dkDoR1ly6hXridv1UXWVOEoIghBZUTIhDE7bRdNVKqNF4jil2+gNFhRJJIaGw2zWRMk8o5qpIkkyURAS+2L3IknE6zt4nDBALdK35WR+9f7PQNiC+tVnnqdpitN2s+fDEtajNKMoqQqqIQZHJf0Kg3p0psrC2RWxeEllUkU812rGzY/9BFmKiQKfxrKEJEOvY6NZCqmUUFttkisa5Ks54iBm2/5NkML86SVhReoGGDlDLNRsn9VL6yiKjGcHPPvNU+y7a4+4ryhh/tQSbtfDyBt4jhB7B1+1n/NPzlIZKyFJEpPbx7EKJmceu8DyhVUqY2VOPnyWzkaXl7zjjuekiO44uIU0TTjz2AXcnsfopmEMSx+Ic4B8OYfT8Qic4AUR6EmSfFc/9YsJsdgX1rOzs7iui+u6jI+P81u/9Vu8/vWvxzRNisUiw8PDz/m7bw8tuibOr9VPqoaHh7l06dJ3WJe/vWZnZymVSt/zmOerF71A79ePs4Pebrep1TsoGYoPrlxQuln63snzK/zPzx5hvd5DkSV2bR3jF956K9XKlQvw4kqLv/v8MU6fXyVn6tx71y5ef9/1jI8UOXJygSRJufG6KfbtqPL4k0dwMob50J4JLl+u06j3iCKJzTNFDu0rcLmucXp2DUVRsEyFXNHAd0PiKKFUzvGL//Runjm1xLcev0iSpJRLFoWyid31iRMRerJn3zivftk+fu///DuiIMa0NHJ5A88NCaKY1nqX17/hJu65bTv/3/d/EafpohsamiLi3QG8XoCpSly3b4LPf/UUl+frTE2Wmdk2zNy5dTpth9CXKBeLHLhpM8eeXeDcuVUmJsuMjBbotlx6HZdmTYjPoWqeg4e388BnnkFTZfRqjiSMiFuOEE1+RLtuM7V1hJtu382xxxew8gaSJJP6ggaShmLQzun6mEWNBJswG3SUMsJGEsUkUUwQRoRuiJk3mN42yolvnCZNEsFDTiFwfJxWj2bBpFItUB7K47UdLn7rDGkUCwRgnBIHPonj0TM08mULVVfobnSJXF8E++gRmmZQmRyiOF6htdxElUHRVBRDI/ICoiimPFwQwipvopXz6BJEXoikKkLkJQmQYhXE+bmyi5bPMbVrgvVL60LAxYIuIskJes4C0sxnnGLlTS49eY7GcvOKqTlNkTJ/ehIlomuriLZs/fI6gSMWkHEUoxo6xaHiACtYGMrju4F4P3Rj4jAeeM77nVPf9kUITRQTeKEILjJBz3zcrbX2IFRIkGSU5/C7FVUZdIzjbAah35WUsyAlSe6TSGRkTSIK4+ewwyVJyhrSgl7S56MncUyubJKEKd2mTZr2kZDfOeTWHzA1cjpu90r6aHWyQrdhUxjKZRYVyBUMPDdAVnR8xx8I6b7VSZJFWJN4+hOSKBUzABnqsE+LkWXhaVdVgXpMYkFtCfp2nm/bepazgVvBgJfFdTIVfvY4igfHq7qKJKVUp4fo1noouoLTdlm7XEPVVHw7QFLIdiXEQkmTxSyOqom5gW7NpjiUpzJRxu25qKpKcSSPrMsULJX65SYL55eY2TtJ4AdEQYxR0NAtDa/joWqCpDOxfYzFsyvMn1qiNFxkevckl08vQZoysX0M3dRxOi6N1SbX3bYLt+Mxf2ZJDJmqitiRQKSTbrtxM3GYYR41ldf8ykuvem5kdt+ygx0HtxH5IbXlJt/4yCNipiAnEH/dZo/KSElgG1+AiuMYXde/4+eO4/zQ2Lb/Var/Gfm3//bfcvPNN/PpT3+ar3zlK7z//e/n7NmzvPGNb+SlL33pc/7m6h3la8L8Wv2k6+677+a3f/u3+cpXvvK8C+der8e///f/nnvuuecHuo8XtUD/dovLj8OD7vs+R48eZf+eSR45Mk8YJeiagudHSMD1O8Zpth0+9LeP0+w4DFfyxHHCM2eW+PCnZH79n96DJEl0uh5/+MdfZ2m1RSFn0GjZ/O2njuB5IW9/4yHuvmX74D673S6GJjE8lGd5vcPMeJldu8bpTpZZb3S4bptObI7yzMl5QfhIE9wwRcurbNs0RKfj8Uu/cDcbzS6f/tJxgiAmTRPqTZtcyWTnTJW1tTYHDoxxyy2b+NM/e4h2Qwwb9toemqFSKpu045ix0SJvfMUN/M8PP8qZpxeIgjijO0iYpkoUp0gx7Ng1xkNPzHL6W5dw2x6dy02sgsHMjgooMSMjQ7z+9Tdy/OwKp4/Os3Zhg7XTqximxszOMQolk1bD4cabt5CvWHzt66c5f3ZVeFarOTbvGKe90aGx0kZXVa4/uAktZ/DXH3qEjdU2xUoOM69jaAq99Q6+E5DEwks8tm2E1TOCr61mhAm1aBK2XfF4IhdZUyhOllm9uIaUpqAI77CiCiTf3KkVCr2QXXunqC01iHoOaSSGFpNEiFlNVeltdLBUjXwlTxImjE0P0Viqs7ZQo1S10HWDmZ3jNOs9XNujUMmL4JVdkyycWsDruGhZame+kieSJHrNHrlSjjSFwmiZoOcR2N6AYa+oMmreYnV2XZAndQ0jLywCkRcQBxGqriBLEgkSrVqH9moTSQZZ1TJrikAxqqZGLEnCaqFKGdnFEx53VSYKIiI/IF+xKAwXWD3n0a11GJqs0FprEmfUln73N45iKpMVnJYjbkcGWZKFuE1SyuNlWmtt8uUcsiYjyzK9lg2ZQI2CCEXrP85MkKtCyAuvejQQ4oos8HwCcakgxQkkDESuLMtESTToQkvKFaqM0/EGCaOSJEJ8+t3rAfJREsI3yUKRrq6+WO775EE8BFIwLE0I9KwURSYMI3RdI/PvZAI4IV+yhE0oFNcXzdTRDFVYUVRF4BQlCTLRLpjnzw0w0iyNwBZDn1dbBvphTuKcdDRTQ5YkdF3DyOnic63KxFGCqslEYUoaCS96uZrD7XnoOZ3YjwkDMegb+hFu1812AwRicWx6FLfnMbljnMpQhfnTS7TXOkiKROCHJKkIvEIR9pMkTWjXOmi6Sq/Z4+S3ztGudbGbNuPbxgave65kUV9ucPJbZzELJm7H5fSj57CKFr7tkytb7Dy0VRxvaoxMV7l8apFnv3kKWZYpDheY3jWBqqliTiJnMLF1lK37NzF77LIgOYUJZk7n+sO7B/f7w9b3wiy+WDro/SoWi7zlLW/hZS97GbVajccff5yvf/3rvO997+N3f/d32bt3L6961au466672LFjx3OE+TV7yw9R1yguP3T95m/+JnfffTd79uzhF37hF7j11lsZHR0FYGNjgyeeeIK/+Iu/YH19nYcffvgHuo8XtUCHK1zVH0cHPY5jjhw5QrVa5ed+6iBnLq6yUe8Oum83XjfFXTdv58nj8zTbDpNjpUEnIU3h7OwaG40eY8NFHjtyictLDcpFk1xOR1MVmi2HBx+9wOtfcQNWRn/pdF1abYG6e+Wde/nbLxxjbqlBPxBltJhyxy37+OSDlyiXLdQtw8zN1ZFi6Hk+a6nEzfs3sX3LMH/wX75CEMVMzlRYWWwiyxK9no+UwsyWYe64Y4ZvPnyZ9ZrLzJYql86tk6QJnheQpAmKLHPvS67j6afmeOzRi1RHCjgNhyROiZIEZAlFlimXLZpRyPyRZRI3EpYKCey2y+ypgG03zvDGN97EylqHlYUmnbkGqSf8sZ7tM3dymeHNVQ7dvZPb7tnFpz95hFLJYnSizPpym07bpVg02bprHCtv8sZ33ML50ytcOLNKrqCjqDK9rsC8bdk+Sm+0gN3xuO8NN/K5jz/N2mJrwA2PgphSNU+uYNAyuhDFGEMWnbrN+nIHfLEDIakSZl4ljrMvjhQiP+TYV09CFBN7wpssazJWXicM40yURoR+iLPaxKt3iEKR0mlUTK67eQfrKx2CKKXXFMz0nKXh1lqsrjRJvBDF0LGKFp4fopo6bq1LmoX7yJoYuNPKBWLHFcE9SYpZzhOGiRg+zRkZkztFNgzkbJfADwWnWrUMevUuSZyiWWJAMIwTFF0VbPogGgzjmUWL5lpLDPhlIllWFSTAbTtUN42QK+fwbY/aYp04G44kE7KSIpFECYETUJ2ssDK7NiDE+HaUsbQ7xFFMvpQjSVNyRZPQjwYd5yiMCTPR73RckEA3NPKlHLIqUkdlOc280knmo5eIpDjrhKuomoosSwRecNXAaCK219Msrj4jKGmGRkpKFMYD9GOapM+xj/Q54krGRE/ilF7TRrd0OrWu8G4nCZ4dIMnQrfcGdnJShEiWRVBRP3lVnEuK2/MwcjqlnPBah15IlNl1RPc7HVhcpMHOgZgvSDPbU/8alCTJIMC0b4fpP2bP9gk8YQUzCyJ4iMzypSgyKVAY0iFOCfyQHQe3cPbxiwIBmQifvGZqAxa83XUxooTQC5g7ucjE9lF0S6cyWmZ9ro6mGuw+tJ2FM8s4tsvWGzeRhAnL51bptWw8TzxuSZVwOjZr8xukccqFo5cI/ZAb79uLqqnUlhq01tqMbx9jfMso7VqX6d0TTG4f55mvn3rObkcUxsyfWsR3fHRTQ1YUtt+0hZf89B3oWRK0oirc9rqDjG8ZZX2+hm7pzOyeHCAbX4h6Psyi67ovOoHer1KpRKlUYvv27bzmNa/h/PnzPPXUUzz22GN8+MMf5v7772fnzp3cd999HDp0iB07dlwbDL1WP9G64447+M//+T/zr/7Vv+I973nPdz1GkiT+8A//kNtvv/0Huo8XvUDv14/ag56mKSdPngRg3759KIrCm++dQivM4HgxmyYrHLh+Bl1TiKI42/q+svqXZYkkTQmjhJX1Dn/3pWdodz1sL0BVFEareQxDxfNDurZPFCf8zaeP8MyJRYHgk31+43+7mV99x2GePbuM4/q43XW0VOdjnzjD8bPLVIbz7Lp+Al1XWVtt0+q63HjDNG963QH+6gtHuDC/IcI9DI3KSB674xMGMdVqnp99x208+tRJnjkhLDLlksXIWJFm3SYMIhQkDt+5kz3XTfLhv3iEWq3L2HiJ6kSR+kqHNJGI/ZjyiMXL3nADT55YpL3eRTfE9rXvh8JmEaRsnxnmxv0zPPHkQ7QWGnh2gFUwCPyIOE6J45jeRpeZbcN88lNHWV9toaoyU5ur2B2Pbttl6XKDwI2Y2TpMvdHj+NF5hseKDA8XaNd6bKy0aDdtlueFYLnh5q20GjZJmGAWdKJQQW4Lb37oBPRiIV6237KVbsulW3NAlUVqahBCkg7OL41iShMFAt/H77popopm6YRd0UX3XCF00ijByBuomkL90ppgnWsKcRQSdX2WL24wsXOCodEihqFw8rELXH76AmkgPPZJlJCEMa3VFuXNQuCkaUrT9nB7HhNbBXNfM1RUq0KxksPruai6hhZHNFs9Ij+kMib8cV7PIzUNNu3fxNrFVSHaVQWv1SNJEnJFSwjI0CaOoDpdRZZl2uttZBThaY/FroOR0wcpk5IsOrVLZxbxOo4Q5H2fd98CRrbLlcR4tk8URURBJLr4SYpuaSImPhQWoTAUfu9c0QTSTFAL37msyIKekoUMieFQKVs4KJRHS7TW21lXWwhH0V1WBsOZogMuY1gqYbYIA3E7VsnEabsDfKOE4J7HSTroKPdLMzThOZelQWKorEAcpVglS9BwNjpIkiCmhF4wGHQdWGySzBufJHi2D5J4TY28KV6XkoUkSeTLOXqpLTz2IJjy2SSnlO1oiMerDgKI4igm8qIrZJcMMdmnw0iIHYg4EguU2E1Yn98QXeWMcIMMo1NVnI5LvpJn9dI6Z5+YxcgZYsEmC+JOP1RKMzQx56ErJLFCp9YhX8lht23W52rIssTOg1uxCiZW0eLUY2dpLXfYdsMmFk4sI6UyY1OjBF6AnYqBUr2gYRY1NuaanD82S6xE5AoWrY02u27ezvTOCbEzWe8SeCHbb9rChSOXWJldY2LbGHEUM/vsZeIwZvO+GXRD7GJceHqWmd2TXHf7zue8pjsPbWPnoe9N5PpB6/kwiy/GDvrV1e+IDw0Ncdttt3Hbbbfxz/7ZP+P48eM89dRTPPHEE/zRH/0RxWKRl7zkJRw+fJjbbrvtRWP7+XHWNYrLC1Pvfve7OXjwIL//+7/P1772tUFWQS6X4+Uvfzm/8zu/wx133PED3/6LWqB/N4rLj2pbbG5ujnq9zuHDhwcr+7ylc/NNmyiXy885ds/2cfKWQa1pMzKUJ05S6i2bXVtGGR8p8F8//AgdJ0BVZDRFIUkT1mtd8pbBlk1Vhofy/PGHH+Hxpy9RLJrousLyssv/+MuH+X/+xmt5w0v3cfz4cb71WMRDT68RxwlxkLB0qY7d9rjl7u3kSga2G/Dm1xzgiVMLLKy3KBUtXDcgBUJVYvueMXpdj1/8+bu4eLnGibM1VFUmiaHT9bEsjX0HNrG83OJVr9zHjl1jfOwTT1Nr9IjihLWNLoqcsO36cRobNoW8wa/+i5fy9W+cZflCjdCPiKIETVdQdQlkDUtROXDjDMuXG5x67BKtbHAyTVMMSyeMYwxV7B6cPLPCxmKD+myd+rkNTEtjZscoRl4nlzO49Y7tzC3UeeKxS9SWW2xc2kCTJKoTJcZnqtRW25SHC4xOVag3HObOreI5AUN5neHhAkMli/W5utieN1QKI0UadZvaJSEilAylWLA0GstNQkd0eXPlPPlyie55EbCSIJFIIOcN4p5P4AbIgYyqKYxuG6Ox3BICUZGJ4hjV1IjChPnTS0ztmSRJEnRdxVQleo6PqiliMNQQHUmn3mZo6yimpTM+XcFr27htl+ZKizRN0QwN2TRoZ0LIyhuUq8N4LRu3bdOtdYXPOU1QLYPV2Q2iIEEzdYycThIlRM0OdktYZ2RZIkpTkGXaGx0kRSaXEUkCNxA4yyysxut5gPDvOy174P+Os2GvQXR7EA/Y1VEY4WWDtEnWiY6CmIntFVprHTzbo1y0sP2I5mpLWFzgKohJSmEoT7duC7444PQ8DFPPhjyFPz5XsjALBqErhk/7XfG+D/tqAoyiKyLFlJTIj8WgapoixWKYM81ILX0meV8U9//+akZ7/19OWyBCpYy84nZd+uzCgc3kKgKNbqkErvgsxGGClJcguXJskqTZQkcMFNsdN5sPSNEsdZAE2t/xkCXhD9ctHfqDtdlipjCUo9dykKQrCxayXbk0Ad8NREZBQYcIXM/D83zCDYHKDLIhXUUV+MwohZHpMnbbQTM0YTUKIrHYCsTrGHhiGDTNdhySJGF4usrI1iqd5R61pSa5kkW71qW+1KRYLZAv5zALJlbOZNPuKYaGqsweu0xtrolmdbFbDosLi7hSj3whj67rLJ9ZJ4pDUmB9oU5zrU15tISma0zuGB/gMI2cgSRLHP3KcRbPLiMrMlv2zrD1xs2D2aIfRX0vikuhUPiR3e9Psvrv829/7LlcjoMHDzI2NsbU1BT3338/n/rUp/jiF78IwAMPPMDLX/5ykiT5rouaa3WtftR1+PBhPv3pT5MkCbVaDYCRkZEX5P34ohboV1efl/p824c/TK2vr3PhwgVuu+02TNN8zn1+t6799HiZn3rVjfzdA8+ytNZGlmByrMQ733SIdsdjdrHO1GQJJYVGQwyhxXFCIW/w1tffxMJyi8eevjS4qOVMnXJJY229w/Ezy0wMS6yurnPiVIcgiBkdLVJJU1ZrHVpNhxMnlpjYNMSdN21jdCjPhfkNRoYKlAyDs6dXCbwIP4xYl2TuunU7qq7wzcfOk0gwNGzRqgekaUqn6yGlsGXbCHfevZMP/cUjdG2PLVtHOX9qmTAMSZBwgoRc2eL1b7mJpZU2F86tMb2lylwvIAljfC8kSmTylkl1uMCWbaP8j//0FdJIeJyTICSKYhLbJ18ySaMErWBQMFR6S23SMEZSJDwnYO70CqNbR3jNW27i5IlFfD9itGJyqdEjjhJCCfyeh6Kr7LljB69928188e+Oki+aTG2ucqHj0mt7lEo5prYMEycpu66fpNXzOPvMIgVDRdEVvI6HrChMTFXQDRVZVRmfqbCy3MZ3AnptYc1Io5RcUUezdKyChdPoitczhVSCtaUGQVtwxyUFFIQQ9BMhGM89M0/Y6OJ1XfyuAwhBm6YC90eaEqcpaRCixQHnvjmL23JIJYlcsUoQpSimLrrjUUKxnGNyc5WNyxskYYiE8G4HfoiWt5BUBbfeRTVVciVLCFxJQrMMFFUw2uMwRrMMvJ5PHCXkyjkSwPdCrIKFZ3sEbpClUkpZJ7Wd2Rx0IeAtg9APhR88SgaWEEmRiDxBTlFUZTCAGXoRvaZNdbrC+twGbsclcH2BKMw0bL9DnSYpvhOg5zSxA+JHeD0fp+MKhr3toxkahqVj5g1MyyBcayMn4voQR3FGepGRsqHcYjUvPs9RTK8tFhppimCvh8KXrhtCbBp5QwyTJglBZs1K05QounItkCRhXZFlWSTKpilxED/nMTynJPDd8KpB1YRuo4eqiaRXQYoRVCLNUIWF6ipmep9GI8uxwCYmmaUlOzdVEwO//eczjjI7TSI4nP2eRv9LR0IiiVL8jrgWmPmMYqNmQ79pCnJCvmIhKwKFOr17gsVzq7hdMcshyTKFSp44iklTCbcjdiU6tS5HHzjBza/aj2YKMY8ExaE849tGmT1ymSiK2HvnLpYvrrM6u0Z5pISqa4zODLNycR1ZkRiqVojsmMaFLpacY+q2KdbmN1if3yCWQvJjFoVpg9CO2XLzFOPtEWqXG4MmTpqmrM6uU1tsCIxomjJ/cpF2vcuhV+z/gb8v/r76XkmiL5ZucV9Q33zzzfyH//AfBkmMiqLgOA5PPfUUx44d48KFC8zNzXH8+HEuX748+PstW7bg+/4gmfuaF/0HqH8EHe4fZ8myzNjYC2d1g39EAr2PrXq+7sQPWt1ul2effZb9+/d/R6f8e/neX37nbm7YPcn5uQ0MXWHvzknyOZ1mW4TBkErs2DnKUD1Hp+vRc3ze+NoDbN8ywn/+829Sa/aQFZmO7VHIGxiKEAkbGw3qazXOzsH8UhMAxw8YKueYGS+zFLe4bssYb3vLzayvtPlP//krnDq/ipnX2XPDFPtvmmF9tcN6o8fdd+xk57YR/uuHvsn8uQ1QUoySzthkBa/r0267bN8+yitedj2f+MKznDm3hiSDF0QUqwadekwYCn/uvfftxg1jvvjZZ+m0HIblIpNbq6zO1UmDGCmG6lCOl7xqL3/3sac4f3aF8lCeQtFk1Q8J/VAE7QQxVsGguGmI80/PE3ohVtEgDGLiJCFNUtyWw7PnljlxfJGcqdG7uAGArMmCXy1LRH6I27b5zCeP0FjrsrNsMTZdYWO5RWOjy/JCHc/xyeUNhicrnP/aaayCgaQpmJU8oRcRBxGNtTYAxaEc++7YyeJHnxD0FE3BKOVwGz3cnkcqgSJJmAWL6X3TnH/yEmmSYuRMkiAmCB18O0DPG4RhQBJHWMNFNs6vQBwLQowm3sO+I/jnqqaQRCK8p7ncYuPsYsa2hjSJWTu3THX3DLlqnspYidXTAbWlBr2VGvXFmrBipGDXO1hDRYpjFYycxnLbJnJDDFPYGFzbI/ZkZvZtZmNugyiKsQoW3XqHNEkwTA3N1AjckMAPKQ4XyZVy1BZraPIVprqiKuSKwtYRhRGKqggcoxcQegGyohDHUWbhEF3MJLzSGQvcgMZSE98OhDc6EUJxEJgjXeGeB16AbmgkyRXOuGao5MoWgSuCfwI/xCyILqmqKWiaQq/lCPGgiFCd0BM2kf7Xv6IqKIpCbtii27SJAuGjF6JcEl347Oj+7IlqKGIXK7N4SJJEabhAp94b0GckSSKVE+LseYqvEvP9odW+j1ySJKSk//2a4vZ80sRF0VXMnI6iKNgdkdj6HFN5Kvzv/YReCUkMe0YJ+UpuMAcShTGeHYAkbDBSKl2x8ihiyFQkakbIikBRttc66JaOphmopkaaJAxNVbBbNoqpkDRTnvnmKfJDFnbbIQVyBZNuyyaJ+xYmjeJQniROqC03OP7gGYoTeZymQ7FaYssNm8R7IoqZO77IhWNz5Mt5cb6OT7fRpbnWJnADNl83xea9M1gli5ULqyydXaVYLdGp2YxOjnLX628limI8z2Px/DJ21yE/brL25Bq1Ro1itYBdc2k3Ouy7aw/jW0aQsh2j80/Nsvn6aZHkW84N3qsvVP1jsrgsLi4SxzHHjh3jS1/6Ek8++SSrq6usra1x8eLFwXHlcpm77rqL6elptm3bxoEDB7j77ruZmZkBrgn0a/WTrYceeohHHnmEpaUlfvd3f5eRkREefvjh5zgqfpD6RyPQ+xe8F9KHHgQBR44cYcuWLUxMTHzH7/++wdTxkSLjV/F0AYbKOa7bPs4Tz15GUWVKlRxBkjA8WuSlh3fxzScuslbvUSyYuG6Arql0eh6anDA8ZOH21vDjAmcuLqBrKmEktuPrTRtFkTB0ldsPbqPdsLn/w4/i+xGmrtKu2zzz+BwHbt9Crmqxb6rEPbfv5Pf/35+hvtoWGMIkwbUjWorG1u2jzEjD/PzP3sEXvn6KestmaMii0/Ho2i6KlLLv0FbWVtu8+U0HaLZcHn9yDlVTSFNoNm0sU2Nqe5FeO2F6psqb334zn/vsM6wutgiCmEath5XT2XXjDK2NHq16j1vv2oleNHj0oQt4LSGQUiR0S8PSZBQkfD8EWSZoODTrNnHLQSIVHm0gnzdwuh4bK20qhk5zpcmTlzbQVInqRJnqWBHD0Ni9b4paw+bEMwvUN3rIJOikmJpCYbpMfcMmTaEyWgBV4VtfPYXT9SgN5xkaLqJOlqkt1KktNQhcIRjNco7V2Q3SKEbL6ai6gjlUIA5CYjckdEJUTcbMW1gFE3utI0JfwhhJU1AMjdgL8HpuRo2QGNk2Rn2hQRLGqIaGjISsCPxe2LUZP7CZUsVCJ+H8kxfp1luDDrWsiK6p2+qyef8WSsNF7KZNc36D5koLzVCJvRDV0qkvN4njhOpUlXzRJCUldH06tQ7F4SKyBGGUgKJQW2ogK0IQx1GCkSb4PZ/QDzL7hUMqpxiKWCypuoqkyMipTOxHxFGMmTcF1jLr/vpuQOiFWWCRhKRKA1tMmqYDAgupsMT4TnClS5QNZxqWgW8HV2wmXY/QD7EzuwkwCP7pc9TjOMFzxHmLLnWMoohkzGKxIOZH4hTP8UkR3ed+9z9JBAJSkeRBuqckywQZwjJNEqT+7l4WnCRrAuXYd7domkoUx1edW4Z+ScSiXNVVMRwaRASShGqkg66zhPRtvHMZSImz4C09p+N23MEiqn+MLAtvfi/DSEpI5MpWZk2JURSZJGPwK4osCC2eCHUqVPIiQErX6EWQBgJn2GvYxH4iqDFOgNNzqUyXSNsJsga+61NfCVF1MXhaX2nSrLewLJNe7OC0HEojRaZ2TBD4EasX11FGZEZmqnQbPdaShJk9k0iSxPBMlSRJGNs8jG5qnH/6EqsXV7NU5Zgzj51nx8FtFAp5RsaGKQ4VePk772Hn9l0c/dpx2vU2VCR8x8dXPM6eO4uuGyiywvKpdbrtLvlSnvJwiesP72Lb/u/NQv6H1PM1kfqs8BdTFYtFfvEXf5FisUi9Xh8EFWmaxkte8hIOHjzIjh072LJlC3v27GH37t0/4TN+kdQ1issLUidPnuTnf/7nefbZZwc/+9f/+l8zMjLCr//6r7O+vs7HPvYxDh8+/APd/otaoF+9qu5HR79QAj1JEo4ePUqpVGLnzp3f9Zg0hadPLLH+8GUMQ+XW/ZvZtXX0773tt7/2Jjw/5MLlGlEUU63keOurDjA2XOTspXUKOYPqNovz59eEPSROQEnZs9VicmqMD3/yHO2eh1U2iOoidj2KY2o1m5tu3MSB/TP8//7wARpNm7GxIiNmHlVXaNRtzp9d4+DtW3nlHbs5+tQcteU2Vl5HLsh0uyLGvr3cxZko8/qX7ydNU9ZrXabHyxR0jZPHF/HskEhWWFntcN2eCVRT5eHHLqLrKhPTFeyuRxhEtNs2EjmqYyVe95aDPPTwedbXu2zbNYbX8XCdANcJaLc9UkVm94FNvPqth/jQH32dXN4gDkMiP8oi3lOq1SHq6x2GN1cJGw5+yxUvgiKThhG+G5AvWkJ0thLGZ6qkcULYFBaTWJVZma2hmSo/9X+/j8uzNXRDY2bzMLXZddYvrAu+tCKG7fIjBd78K3fz6NfOoukq5eECjeUWvbZLqZxjeEwsvnKVHHreZHW+jqSpSElKEqeD7rCqJ1RmqjgNB0lTSYII2TJwWt6AT23kDdERLuZoLtWR5CwtUlFoN21iP0BWhL+776H1bZ+g55H6AUc/dwq7YRNkwVWKqorurfhwkCYJuZyG37Vxam2SKEKWdaIoQc2ZGEULt9HBzBnM7BjDyzCAqqEhkeK0HaIwRssJ60oSxVSmSiKgxwuwChkOMIgzG0WKoql4toeiKug5A9/xMfM6saoQZGI8ydiDiiKQjbIsxGDfy963x/SFa5rNZw5STtX+5z4hiRO8nodVsAiDEM/2cXvewO4BDDrUaSL89EZOFxYZR1hkQDDNoygmV7TIl4TlwHeDQThSFMWEgcAzyqosfOGqWKwAgtrT9YQXP0yybrk0uP/Ij1ANsXuRRIkYwlZlgfhM48H59S8yUfb7JBEElf4wJimkUvqcL0oxXCyEfRzGNFZa4jnVvMF1LU3E850mCZXREk7XHbyOiqoMFi19i4ysisAnKZGI44ReyyaJYtJEzD8USwU6Gx1kRewc6KYYjF6ZXWdqyySdepeN+Xq2WNFIlYSUhDAI0GQNzdJoLLd46kvPcvhNN2NYOq2VFrqpsfPAVsyCSXOlRWujw33vvIuH/vZxek17wCVXdZUkjpE1mbGpIZbPr3L2yYvEUcKe23bgtD123bwdSZK4/o5d7Lp5G74d4Dk+X/6zb2DkdKySie/7XDh6idZqi8KEiZvaLC8vcfHMRW5780E2756hUCiQz+d/KP/pP4Yk0X55nkev16PX63H48GHuvfdebrnlFiYmJhgbG2PLli3PiVLvL3r7u1PX6lr9pGp5eZmXvexlbGxsMDU1xbZt23j88ccHv//gBz/I7/3e7/HKV76So0ePsmvXrn/wfbyoBfq31wvFQk/TlNOnTxNFETfffPN3vVAkScoDjy9zbr6LLIuL7Tcfv8A//albuevm7d9x/NVVLef49X/6EhZWWnh+yKbJClYWUFLKG6ystRkfGeLGGzfRaPRYb/SYHpG5fleVR040WW/0SJOESFVQCzqmLOM4AddfP8Wv/so9/NUnnuD4ySWCIMJfisjnDGamKsgJTI9W+OdvvYOnnr7M5z59TPhKkwTT0skXDFzbByRe94obuO3Gzfztx57k3NPzLFg6k5uHGJnQKLo6thtz553b0fIaX/z6aVYu1ZEBq2wyuanK6mKNIJQYGS1xy23beezpOZ5+ak6kGQLT20dYmq3R63i0Ww47do2xfe8kf/bHD7Iw32B4tMDkzDCrYYLX80miBLvtYuQNckMWxx++AGlKvmRipylJJxmImW7DRjM18tU8Zx+7iKLKpFkXVtdVQi/iW187Q8cJGB0vYZoabq0rhLUsgSKY0na9xxf+55N4YcKeG6YxcxpjM0Msz9ZYXWiIhVEQsX3fFGtLAj+omhqaqZLrWLg9j06zh5nXIILx7eO0Ww69eg/ZUNFzOpHt4Ts+iqpiWga+51EYLZPqOl4jQ/SlKZHpEzk+khqhaFI2EAhhnHLsi0dJohhJklE0mcgTwTV6XggYYR9KWV+osX5hZcDs7tY7KKrKzMEdTGwZYfXcMmuz69htB6dt07i8ThwnAz92rlpkdPMIrdUWfio4+flyHs8JsDsuhaECqqHRXG2RL1nIsiwGIyUw8zqB6xP5wrIzNDmE13VJesJuIisyhHEWRCSQeKauIikShmUQOD5x5rlWDRVZkjILz5Vwk5QU3w0xTEGsicJYDPsaCqGXtd+vIqhEYYyJWAj0nxPD1MiXc3TqvcEiAEDVhEgtDuVpbXQG2MjySJFe00bLXbnUqlnaZHWyQn2pSZIAUioWYHFCkoKa2ZmkTIhYRQu75QyQjZIkftcf/JQVmRRhR+n/LImT53axJNHdl7OBTwFuETYWu2UPkliNnEGapINQnzgWz6PTFbs2gxTXDI8qxDwUhwo4PRdZkfF6Md2mjZkzBrs1hiIzNF7BbjmMbhomjhI25muUqkVIUuIoJadqxE6MLCuoloxhGMLyoUmsL2zw9Y89wvDMEF7HZ2bPFIohrq3VqSF6LZu5Zxcoj5aYP7VEe71DvpqntdpGM3R23bxdhDelCauXNjh/ZJYoihiermIVTaIoQ4tqKmpFJV/JsevmbZx46CydDH3pNQO23bCVG+/aS5okeL7P3IkFavMNtKJCr9cjjmNyuRyFQmHw/2Kx+F3Dh769vtec1ItJoPe/M5vNJh/60Id42ctehmEYlEql7/DZx3E8mL3oN9qu1bX6Sdfv//7v4/s+n/rUp3jjG98IiB2hft1111186Utf4k1vehPvfe97+ZM/+ZN/8H38oxDo/aGfFwq1OD8/z9raGocPH/6ukcwAZ2bXODvXppDXqQ6VRae53uOTX36WW/Zvxvh7IqElSWLz1NB3/PyOm7Zy4XKNlY0OeUsnliWqQwb7duboRTlWNpbYPDPEwkITU1dw/QjJVJgarfK2txzixJllnjm5RHU4z8ZaF11T6Dk+9YZNkqTctH+Gubk6n/i7I1mAi8DcubaPnojQnqGhPLfftIU//i9f59TJJZIgptnr0djoMLapxMiWMfaNFjlw0wz/8xNPs3JshbjlESYpQdPFaziMbSuyeecEP/szt/HFL5/Etn1GRovU1jt0e4JRfv0tm7l0fp077txBsZzjicdniTNaRqvpkA9j9h7awtpiE8/2efkbbuSppy+zeLFO0PNJwlhYWio5SpNl6otNdF1lZtcY8wtNzh6dF7HmsiCi5IsWsiwRhhGqlKJIMHdsnlknIGgJz7+uKZg5nSgUCZedehcfieOPXkBLhZ2hWDaRNIXqeJGeHdDqeKzMNwQSz1CRwwhzuszy5YgwiiGRkHUVL0pwmjaKKjMyVqJQMommypx+9DyBG9BLEpAk8pUi7Y2O6CJrCooE+vgQjctrxH5ElHVYjYIFqoTXDZB1JcMdqiDJxGHGDs9QepplsHZhVVhIVIF7jIKIJIpR05jh8RL5vE5jpcnSuVUaSzUhzpUsvjJNCHoOVt4gHi3h91x6/ej6KCIJI6I4wV5vY+ZNjJxBEscUKnlaG216bRvDMgT1JaOgBI5PfigPKeSKFvWlOqEfYRXMAY0lTdMBfUTTxeJHURXcjIGephDHidCjmR89cIPsvZ3Z3rL3ST/IJ02FtSUF7K6bYQsFJjHM/M4SYpFgtx0kWfD5kzgdiPO+1cbJvOC+GwxQi6EndhDstotRMCAVdBRSIUb64UbCMy46+5EfYeR1QlfsKkiSEPp9VGSS2XH61zojp2fhW1dsK5qhErjhVZq9P10Lqq4RRzFxFF3BTsoScSwsIYqiYFgGRl7P8IxikZcr56hODbE2t5ElyYr3nt6n/4QRnY0uRrYY9GwfVVcx8ybDM1X88z6aoTK+dYzVuXU8x2fHwa1cPrOAYegEToimwfjMGOtJjciN6K73CNyAc09ewPF6lCeKGKbBwsUVVufXGds8QmW8TGejg25o3PKam7hw5BJWXgi/TXtmMEyDi89cplPrEQUxD/z5N9l5aCuH33LLwFMuSRL777ueykSF5fMrKIqKWTAGCyxJlrEsi1K5yMT4BIcOHSBN0+d0hTudDsvLy7iui67rzxHthUKBXC73nG57fyfnh/Wgf/GLX+R973sfTz/9NL7vs2fPHn7pl36Jd7/73T9Qd39lZYXf+73f4/Of/zxra2uMj4/zute9jv/j//g/mJqa+gffXl+g5/N5XvGKVwy85PBc4tE1Qf6jqWuYxR++vvCFL/C+971vIM6/W0mSxL/5N/+GX/3VX/2B7uNFLdAHw1d9VNoLYHGp1+ucO3eOW2655XtO1M8vN0UozFUX+3LRpNVxWat12TRZ4ekTCzz81CzNtsP1O8d5+Z17GK0+F6NVa/Q4enwBzwvZsW2Um/ZO4/oRDz5xgXbPY7RiMFFR2DxZ4vSSg64pTExUcN2QZtMhChM8OeKt9+xBtzQ+9pFjbDR65C1NEC28iCiKqdV6HNg/w403buIjf/M4y6stqkM5zI6O74bESULgRJiWwpvffJDHHp3lmWMLlMom1ZEiy6sNnF5AY9Xl+gM5Xn3vHpY3OiydWMW3A/JlE9cR2+9uyyNySlx/5zRfeeQsx08vMzFRojpWpNt28byQZsOGFDZtHWFsZogvf/44mqYwtblKu9bD7fn0uj4bG11QZA6/Yi+JLGN3fEYmijSSBCdjtFuJTr5oEU+mvP0X7+KZJy4xv9BE1sUwZxyIsCBztECv66MqCuObqqw/chG/4w2+TOJQeG/VzBOuKDIjExUWzq7QbDkoqvDuJknK9Yd3YpZzaAWTsckygeMze+wys3OryNKVAK2Zm7bihIKDbxZMFF0lcgURI1cwSXIGw5tHUQ0Nt+uKtElNCKh+EE0pe8+IaPYI3VRJogRZ1wlskdqoGzr5kkWSJEReROz5JKQkQYykKqSSROh4yKqCVTCFOAtjkjQmcgNaqy1mj8zidWwiLYtv1xUUTc2oK4JtHro+kR8hZzYUt+0SxQlWKU8SC9E5MlPF6Xp4tke+bIruc8IgYVI1VDF8mtORZQXf9kgLJrmihWv7BF6YkT/SK3YXXRWLcF1F17WMIpNkYVBJtrCTBmxxEVsvPmNhEA067EKci58rmjJAEvZFQhLHBE6AbmnEYUK32SNNhADuhxQJoSoWBJ7jY+YN4jAWXViEzcQqmERBRPmqsLLGajPzk0cErtipUhQZWRHWEVVWKI2KDo2d2bLEQiG6MjyaWWX6Xn3RARfXvP7zAdlwbbaKkCRpgJUkBbvtZM9LiJm3MnxkxkEPEkY3DeM7YpFjt51scZKIYegkC7GKxY6ELItzj8KYwPFZOLPMDXdfR5IkrM0Ky9j0nilyRYuRCyPMHruE3e2RK5l0Vm00U6U0UhJWpjRFkRWsnMX45jEWTi9RP99my/bNtJsd7JbLyDaTNB9jmjJKuUSSxgzvKjN7HNbmNxjfPAKSxMZiAwmJ7TduplAp0G3ZnHnsIhPbxrn+8K7B51OSJTbvnWLzXiFCS6N5jn7lBJ6dx7AMnK7w749tvkITsSwLy7IGqYIAURRh2/ZAuC8uLmLbNkmSkM/nB112wxALmefroOdyuef9zunXe9/7Xn77t3+bN7zhDTzwwAMUi0X+9E//lF//9V/ny1/+Mp/4xCeet7H03erUqVO85CUvQdM0PvjBD3Lo0CGOHDnCr/3ar/Gxj32MBx98kL17937ft3d1ra2tfccO9DXryrX6v0ItLS1xzz33/L3Hbdu2jcXFxR/oPl7UAv3b64e1uNi2zbFjx9i7dy9DQ9/Z3b66KkXxxRZeRWPw/AhdVykXTR55+hJ/9emnCMMYQ1f50kNnODO7zv/+Sy+lVBCoxtPnV/nv9z9EsyW+MHVN5b67dvGut97K7Qc2U2u0efbY09xww0Hm5uYYriicmWuiKDL79k3R6bhcXmpyy4HN3HJoC/d/+kkcP0SSIAbkosqokcfp+WzbOsIv/NM7+dhnj3Lm/Bq+H1FrOmgFnVzeoNN20DSF++6bJgY+9rEnabcdHC/EMGwKeZnhShXbDnjF4Z2okszXPneC1kpXSAFFIpfTcNyEJJCZGiuz4Thcnq3hrHW5tNrFKpts3TFKs2bT63ocunUrQRzz8KMXWFtpQxjTWG0zs32EtcUWzZpAJ27fM0Gt43L+kQvYHZeqWmTLjjGWpQ16LUcg9myfiU1VHv/WRU4+eYlc3qBYydGVZVrLLeIopl3rEcUppZECawtNvI6LmdeJ4gQlMYlsgRh0Oh5xFGMVTExLF9aSzPoiqwpJGHPu6TnyU8Ns2jlKEqdMbK5y7psnicMIKQtqIYWVk4vkZ0YZmhrCMDU275lk6ewyG0tNdEPFbrsUh/IUR4rMPrtAvpJD1VVyO8ZZPL2E23EplCx8NxAUjWJFUFlKFrqlUx4psHxqgcDxKZRzKIqCpiooxQKaqRL0PCRVQdVlIscjDiLiOBLDiqpEHECnabP6hSMEbiAY124wCARSNQWSFN8LkFKRPLlxaUXQTGThY85X8ozvmMDreaxdWKFb61IaLWE3e6zP1YT3OKOxFEeK5IoW7Y0OoR9RHivjZ/7vNEkojYghVrJQJ83UcLseuqESRUI8a7qKLMsURvN06j3iUKTVmnmTKIxE6E6cZN7kBFmSkA2VyA/F6wKouoJVNOk1nczCI2YBJEnOOO/Ch54mIlnULBiCu85VZBkZgTrMBjmjUPj2NV1Dt3RCPxyI8yjqhwrJ5MuCEEOaEpNQHi3idFyRnJmJF9UQg6HF4QKdWk8sDqQUOVukRFGcWWZiNFnN3m/ZjlicJZ320YmKTJrtMvStL6QpgRcRR86AaGNkizdVU3EidzAI6/ZESq1v+1eFMcmZ57yI03XFwjWK8d2Ai8/MURouYuYNVCNPrigaHZPbRnE6PVYurzE+PUpvw8HtitTZfihSZbyEZqgMTw4hyRILp5eYPTaPmTcoFPPs2reT6kRZsPQ9jzOPX+D410/TbLa58OwlzhzRKA0X8LoBQzNlVFM8N8VKns5Gh+PfOENno0sciYHTLftmxKxDliS77cYtNFc7LJ5dIgoTdEtj581bGd0yPLBiwHd2wFVVpVwuP4f0laYprusORHuz2aTb7QLw2GOPUSgUaDQaXLp0iUOHDn1fHfSHHnqI3/7t32bv3r184hOfGPi33/ve99JsNvnjP/5j3vve9/Lv//2//563068oinjb295GvV7nkUce4c477wSE6JiYmODuu+/m7W9/O88+++w/SPT365oY/wnVtSHRH7pyuRwbGxt/7+Dy7Ozs97Ww/m71ohfoL1QHPQxDjhw5wvT0NNPT03/v8Qeun2Z8OM9KzSZJhY8zCGNe/ZLrKOQMHnjkDEmSMjNRASCKE+aXmxw5scB9d+wijhP+5yefola3mRgroakynZ7HN751nptv3MzObSOcP3uSzZs3MTU1xfz8PHu3j3BpuculpQY5U8P1QzbNVHn1Pddz8sIq7a7Hru1jnD61LJIcU+iFAZPTFX7qzQd59MgcZy+uMzZeZMmN0FQFP4zIl3OMFk3u/P+z997hlp3lefdv9bV7O73OOXOmamakUS+AMGCaccEEB4K/fA6f4+QzLgHbsZ04xiQXjuOYz+Wy47jgOG4IU4xtmoUAgSTUNZrez5xedq+rl++Pd58tCQkkZOGLwDzXNQyavc/a6+yy9vM+733/7ltniOMO9z1wkVTaEI2QBN2ui2GkUZWIXC5BvpDkT//4ftaW62L6F0Q4to/nBWimgqkqxKpEea1J/UKVsOMRE+N1XC51XKYPjHHTrbuZnx/ic188S0qS8MttAi/EBrqbbeaOTFIcy/DG77uOr9x3Cdf1GRrNYHdd2m0bTVc4dOMuFs9vMTaeZ+HAGCeOreJ1RJPUbdvEwK49owyPZlm9uM30riEaXYdOx8VerAqGdRCSyaeY3DtGZbVKfaMpGrWEjmzqXDi2jO8GKLpCNpfED0NUQyGwfYgils9vsXpyBbfZI3R9VE1F0xWCQKD9PMvDbvbIDafRVeh1LNIZE9/vm/UMFS1tUllvEgYRuUKK0mgWu9mjsdmg17LoNnpioZc2xeQ1jhmeLJDOJdB0hcZGXQQS1TpisilJGGkTt91DNUSzqGgKXs/D79n4to+iKUReiKwp9Do93J6DrKnCcBtGIPWntH1WuBSDpMisnlkTOw2aIMygCKmK3bZIFdIkcgnsjo3v+fQa3UGjvzOt7NV7ZIsZ8iM5qms1OrUusiwJjjtC+hHFMcl8ClVTSGYTeLaH5/joCZ3A92lVOyJiPo76CZspUrkkvuvTrnn9C4PA9YVhJOgtkgSyhG6omEkT3/Nxe+K+MeL3C8OIOBTJqL223Q/iEeZMu+0OPvs7k+id647vB/1Aov61xPHpxYIA1Kl3kVUZz3GJBABnYIaNomgwpSYWLHPNECmgItlTCObNtJjQB0+jx4CY9u8YSuMwQlYV0gVToCT7xBrdFGQacaSncIqC6y747IEX0GtaGAlNUHBst29MVTASOpqhYaZjAjcYvPZzh2ZYOr0KCN07ikKmmMbu2Hi2R2WtRiJl4rs+IzND5IazyLKEZVtomkYqn2LPDXMsHl9BVhT23bLAylnx3tJzKYykzvjcCPWNBq4lpE71zSYP/93jHLrzANP7JgjqPeyGy9BYidteexPllSrbKxXmjk7RaXXZuLTN6upq33uis3ZuCymSqG3X0A2dC49e5sgrD3Lr994wmGgbhsHL3nIL1dUavbZFKp+kMCaa7q/+btnZsdn589VNuyRJJJNJksnkgJ/c6/V49NFHOXjwIN1ul2PHjvH7v//7XLkici9+9md/lk984hNce+21XHvttRw5cuQZTf+v/MqvAPCTP/mTzzBXAvzMz/wMf/RHf8Sv//qv8573vOcFMdU/9KEPce7cOW655ZZBc75Td9xxB7feeisPPfQQH/7wh3nHO97xvMe7Wlfr26VuuOEG3v/+9/OpT33qay40gyDgP//n/8zNN9/8oh7jOyp668Vq0OM45vjx4ySTSfbt2/eCfiZhavyL7znIdfuG0DWFQi7JW15/LW99w1Fsx6fZtkklnjINqYqgPVT7qYhffPACx8+s0+45LK3VqDZEEqfvBVy8UuHEiRM4nsTpixa/80df5CuPb+O5AT/y5lt49W17mRzNc8f18/zfP3ATUhhz6tQ6dselVEqzsGd0wIiWZZk3vfYQa/U2n/vKOertHlXLRk2KKVzohzSbFnv3jDI2kee+hzZZ32zRdjwSaQPP9SGCRs0iCCJuu2OBz99zlrNnNjFMjeHxHIosCxOYH6FGMoViiuRQivVTWzg9j0wxKdIMVRmr7WBIMq/97oOsbzaRopjzDy8hSxKKroAi4doey6c2GJsucO8DFzh7fhM/iiiN5UimhD68Wu6wtlInW0yz7+gMTzy2TBBGjE0VGBrLISHR67g0qh0sy2N67xi3f89hFFUhlTUxsiayKhOHMYHno2gyRjrB3NFZfujdr0NNmgSxoJiA4HXvvLdkBMc7m0/QXq3R3GoR+KKhCgLRSIlGXRWT3aTGxokVzt5/ntXTq1SubON1euRGsozvHmXPkWkmdw8jSbC5WObJTz/O8X84Rme9ihwGyKZOopQhWcqKaWQU06l3MUzBxC5MlkiNFMiNF9FSCcxiFkVTCT0hkckUUiRTJmYmgazrJHNCjiIpCnoyQWj7yJJMYThLsm/ulPrkDt/1Bc5QEpPkwA/RTZ1Efyq6kyAfeQJlGHgBcQx2X5stq2LSKkmg6aIh7DZ66P0QoTAIRHMex5gpE1kRRkxJFsFUEpDMJDFSOq7t4tm+aOKSBoqi9CfXIspeMzU0XROm4FDQUcIgRNFkgQpUFHRTH2ikkftNVV8LvkOMMZIGxOL3VTVV8OijSEyP+1r3uK8h35EKAU+ZXWPBItdNDbvr0Kl18ewAtW/AdHrugJAiwYDFbncd2rUuvbZFFIYiWMjzyRTTFMcL5Eeywk/R3xnY+f1kWSZGyKg8xydbypAuplA1QTfZ0a7v6ODFYkksSMJAcNl3JCzV9TpWW0ihhGZd8N1HZ4YpjOYZnRshDCK2rpQJ/ZBOozvgrXuOT+BHfT28RiJt4vRcHv7kE2wvVVg+v0qn2iObyzB/eIaF6+c5/MqDaIZKu9ZB1VTstkO670sor1SxOw6JjMnC9XPsOjSNY3ucuPc0a+c3WTq1hpEy2HP9POl8ivkjsyxcO0c+n+eVP/AyRkZGKCRLTI5PEfUkeg2bRDGBnAFb6tLo1fjy3z/AQ/c+ysXTl2jUmsRxjKapjM+PsnDdHOO7RjFNE13XMQwDXddRVXXQjIuQuZAgCPA8D8/zCIKAMAwHU/mn1w7BpVAoMD09zY/8yI/w6KOPsrGxwcjICD/8wz/M0NAQn/70p3nb295GPp/nS1/6EgCVSoV7770XgFe/+tXP+k7at28fU1NTtNttPvOZz7yg77GPfOQjX/N4AK95zWsA+PCHP/yCjne1vjVqR4P+zf7zrVhPPPEEqiokkTuflxdTP/ETP8FnP/tZrrvuOj74wQ/y5JNPEscx29vbnDx5kg9+8IPceOON3HvvvfzUT/3Ui3qM74gJ+k692An6+fPnsW2bW2+99RvakhsqpHjTK+a45ppD/e1xqX8eEsPFNMvrdTIpA0kS5jMkibGhLJeWK/z9F04JaYUsEUbCYCp0stBtN1h1XR463mO72kFTFTrdHssbFj/3rhG+71WHAPEF+xd/9SBfeXiRdsfGcny6FYvrb51jaCjN5dUad968QGEozRe/cJJMJoHVcTE0FSsZMz6aodtyOHhggte96iB3feIRYTqVJGzbxyegMJLCtSNMU+Ofvf0mTp3d5PTJDSzLxQtCTEOlMJqiVe0RRzA5U+TGOxb48oMXaW53xI56D1IZE0WTkYKYXRMFCvkk20s1zj2wiNOwBPkkoeP6IaospoKbW00UXcPruVw6vkYqZTA7P8z2dotuy2Fq1xB+FHHy1BpbmyKx1e44TEzliYKI8maLTsumMJRBz5h87pMnqVe6FEczjIzlSBkqleUanuWzuVxH0xWyQ1nu+ZtjSHFMcTSHGG36WC2LXtNG1mRkSaI4WcRu9pDiGFkXSEO5j1D0XYHgC1wPM2WQLaRordZQdQVJESQNq21z6r5zHHn1IUBiaKLA0ESeKw+dgzBEVkTATWB7tFfKzNyyn1wpRTptcM7xaFY6VLP1fmiPz+SeMSrrDZLFDJlCimwhxdlmB8/ycHsuekKDMEJL6CjJBJIdoCUMjIRONwiIXAfP8TBTptBP13zSxSyuJTjiekIs+OIowvd8FENB1RVcy0OOhMa5fGGNMIgGumQQtBJZkXEtMZUVO14Ra2fXn4E+TGaTTO4dZ+3cOr2WRWmqRKvcpl3vCsSjF/SJMjKZYrrf1HUxkgaBG2G3bTRTnKOZMrBjIBCpmpqp4lkeEON7wVMmQSCVS2C1bYJ+A272zY471xaROCoN5CEy8iBkSJIgXUjRqXefko8AyBJxIHYhVE3BjyPhbdAV3KZgtA/8M9D3G0TopoZre4RBjGpoGOZTi2wQCwMJ0aCnskmstiXCu+IA3dSIYzASuqC+SOLxQj/ETBsiPCgCZLGwELIOsUOgGZpI0oxEM+5aIkE2XUiSSBsYCQMJcCwX3RQJrbIqISl9QyzC/KibGpqhkimm6TYtrLaNmTKw2jZnH7yAmlLIFbNkhzKDa+X43AhOx6bbsATysWWzeHyZdCFFOp8iN5Rhat8EkiQxumsYzVC5cmKFjcUtgfR0fLaXK4zNjYgkW0PFtT3mr53l1u/tcfLL52httzF0nandExy8fR+6qRGGIa7rcvK+szzw4UeIpIhYjhnfP8SeG+bJ5rJkMpmBdvzp8o6n68d3dkF2/t7589WN+c7r7fv+c+rPdV2n1Wrx5je/+Rl672q1SjotPCiPPfYYURShaRq7d+9+zu+k/fv3s7a2xqOPPsoP/uAPPud9nl472Lj9+/d/zeMBPProo897rKt1tV5ovdQm550KgoB3vvOdLwks5Pu+7/t497vfzW/+5m/yYz/2Y4N/f9nLXjb4/3Ec8/M///O87nWve1GP8W3foD+9XowGfW1tjfX1dW699dZnbRm+kMcTE5FnvqEUWeaNdx7kf33sYVa3mqiKTBBG7N01wg2Hpvj7z5/G8UJGR7OUt9vIsrigb5VbzE7mSeg9tuoJltfrjJQyZNImph5Rb9p88f4L/F8/dAsADz+yyL33XSCV1JmeLLJZblErd3j80SXG5grsmx/hzpt284VHLyFJMD83RKdpY/U8sSho9Ng3N8IrXr6Xv/3CSVa32yQyGlIEge/jBxFS2qCY03jtaw5Qqfc4d2Gb8Yk8VssSk1LHxzBgaKZIsZDiR3/8u/jgH3wJpR8u5Fs+nhMQRTaFUorIDRkazfClz53h9GMrAzOg5wQEfkQiY5BOGTQbPbLZBI31Fs52R4QoVbt0yx2G54Z441tvQNcVjh9bZffCCJtnN2ms1OlEMZWLWxTH80wtDHPHq/Zz4ew2QRAwNJKhvtmkXbfQNZW5/eMYpobddbnm6AzLixVs18f3AhzHp9uymF0YYWgky9LpNcH01lSiGHq2T6/aJgxDUokEWkIDKcIud4S0wg+RFBl0ne3L2xDHJNImYRij6SL0xbFdVi6XsRpdOpU2ra0GcSgm1DECbxdFEZ7l4TQ7LFwzTnu7Rb6UInB9HNvD7rokc0miWMKzXcZ3DTMxN0wcQ2l2mK2Lm1gti05NBOOYuRRWo4tmamIiK4HTcwhsF7st5C+BH4iwoP50OFVIC3JKxxHR7G4gYuslxHRWQoQc+SGKqRKHMZqqELiCiW4mTdEQhhEgJuhRGIkdkzhGVhSsZg+7ZVMYK1BdrdKudAj8QMTG98OKZFkYNTuNLhMLY1gdW+i8+7suvZbQU7u2MIDmh7MYKQPP8fB6ItRIkhANf/99JysysipT6ps57a4zQC7GsWjAIl+kmuoJXZh0ExqSLBFHIvVVLDqeIrLEsWjO7Y4jJuWIRr/b2EkRpk+gecqwGoXxAP8YxzFu10WKYwI/GhBXBIJRSGlkVbDzXcsTcpZ+kx8G4nXxPb/P2JdFs58y8GxPNOWKjJEysZ+GVdxZiKiGKjwCtQ7talcEbaUCwV6PYpLZBK7l9dNJU0RBiNNzkSSJ3dfv4srxFTzbI/B8NF0lU0oTBhGu4+G5ELuwvVjBSGhM758kjmKa5TZIMLlnjF2Hp1k5u46ExJ3//Dbu++hDBF6IbopFRSqfAiS8noeZNqit13n8H45z+M6DTO0dp1XpcOD2PWi6xg2vvZYDt+6l2+whSRL/8CdfxGrb6KaGoih0Kz3shsPk/Djj86NCTrbeQzmoow1pVCoVFhcX8TyPRCLxjIY9k8lgmuagmfjqpn3n753Gfee/bdtGlmU8z3uGPAaem+KyE3UPDJI3h4eHv2YTMz4+/oz7fr3qdruUy2WA5wzie/rxtra2XrCJ9Wp9C9S3sAb9pTY5f/Wxr1y5Qj6fp9lsvrgTfFp94AMf4KabbuL9738/p0+ffsZthw8f5pd+6Zd461vf+qKP/x3RoL9YDXqj0eDs2bNcf/31L4o/+/Ue7/pD06SSOl85tkSrbbNvfoSX3ThPwtSxHA9ZlpidHUKSJOp9Bq+Z1LjlSBo1Ocq9nz1Op+vgeAEJUyOfVtE1maW1GgAr63X+8q8fplbv0rN18kHExEgORZLQQvih1x1lz+wQFy9sc+rxVbYaHQr7TQ5fO8X6aoPN7Rbjo1le9+qDPHRuhTNnN3Atn1gPSaZN/KaLLCkEQciNN+ym3O7x4FcWaTUsvFBEh3fqPYHACxXGxxIcvWWe//2/H+DSpTLFUoqxyQJbyzVBl/AjAstndCKPmdL5m796hCAImZkfZunMBoEntoRVWcLuuZhpg8iLWD+/jZnQCKIYzxNJhr1Kh9vv2MMnPvY4uZxJY6tFd7slpAdAEESUV2qM6yonT2+weqnC3J4RSkMZtlbqNGpdauU2mibjBRH7b5xle6uN64fsnh/B0BR6LZtex6FZ75FKGyRyKV7x5hs48cgVKhstwTtPGoT9kJswjtBMFUpZSpN5qutNEfbTn4QTx9hdh0TaRNOEAdBI6LQ3G9TOr6PIQssdh2LKa6aEByAKInzbp1Xu8PinnqBXE1p9RZUxDZmpg9PM7BvHtVwqKxUq6w2y+STrZ1epLJeFYdDUUFImqXyaVD7J2qkugRug6SJpNJE28S2X3EgGq9FDiiGZTeJ2HYhjkpmE0NM7PlEYYCR0kKWBaXDHEGmmDIy0SbfRFXprTSEKQ1zbGTSgqq5C1E99jSLCMEJLCJlKs9wiXUyjmbpARPbDenaaGEUVTX4UxrRrXRIpkziOhSY9ilBUlUwpJd5LfUyjkTLEFD2hE3g+vhMMmtFULonneEiykL9IskQykxgEA+1o0mNiVFXpn4tMKpccXHd6fbrPjjF153xVTQQPqboy0I37bjDgjg+CiHZK7jf7sjRgvO8gC3stYcJUNAVFUUSaaSikMuJEwO66wjfQ90HoCY3IE/IVz/LIFNLEefEe9Gwfz/EG56TqysD8GUcx3ZaFmRTyttAP6dQ7hGGIpqticRVFaIbO0FQRu+Ow+7pdLB5fptO/jnUaPZGqmzLo1Ht4ro+WVEkmTRKZJN1mj8fuPkGz2iGZTRCGEVN7x8mPCK31gVv2cOXkKnbXJZFOcPnYEiOzJRKZBKvnNojjiPnrZjGSBmbKZOXsOie/fBbX8SmM5Jg79FTqZzKbINkPm9p36x6euPvEwNS6emGDdCHF3OEZQWdJm/iOT3ujx02vun5wDM/z6HQ6dDqdQVPb6/VQFGXQsD/9751m/aub6CAIWF1dZWpqSryOT5u2VyoV8X7q9b7m90273Qb4utrynQa61Wp9zft89fG+3jGf3pC3Wq2rDfrV+kfVS21yfnqdP3+e//Jf/gu/9Vu/xa/92q+9JA06wNve9jbe9ra3sbW1xcrKCgAzMzNfc1H7jdS3fYP+dEmKqqrYtv2Cfs62bY4dO8a+ffsolUov6rGfb0Gwb36UffPPjm7es2uYh48v4wcB8/PDjI/nWNtqsGfKYH5+mk/et4amyqiKjKGrWLZPEPjoisLYSJZGy+KDf/UVKvUucSy+zCvVDsQxuqZSLKS4bv8kf/Ghh3jwoUv0LI+25dLY7HDohmlGpnIkiiY/8MpDnL2wyUOfPovdtPG8AFmT6BZjdi0ME7oxr3rZXmRV5sEnlikWU9hdIRVwiSiMJVCbMnNzo7zqVQe4974LNPpTwnbHQdcUZvaMUt1s4joB190yj6RKfOZTJ6iWO4BEEETM7B1je7mG3XMJvJCpXSVabsiJBy7hdRw0Q8VI6eiGSi5jEIUxbs9BUeDc42vUl2v4TkAibQgzpanhOT71zSal3cP4fsilUxvkMibjUwVkVabTsFA1hZShUalZLF8sExOjL1cZG8sxNltk/XKF+nYbz04gawpnT66xvVInnUswNJ5DGs+zemaNTqNHGIgGRtVUwlgaRNnnSmnU4TRbFzZwbR9P8QcT9rE9Y2xe3BITUk3FyCQIbYfID/AcoZv2HA8jZRAFPs1KV4THKDKSLLN9pYKZSyEfmCCRNpk5MMGlY0uc+PwJfMshlgQGz2p0MDNJZm/bi5HQ6ZTbNDdqtMptkrkEvu2iGBqqoaMlAsanSyQzJhuXt2muO3TrHfKjeZIpk2bXQc2YuI6LamgkskniUETLu7aHmlAxkgZuTzTYyVwKq2Uhq8I0GxMTeKFo1k0hrXBtMYH1XJ/Ny1viQxKDZgittaKJxM0wiPp68ACnY2NLEHrhILinMJZDkiWsfqBVFEaDoKTQF3zxKIpQNLEokZU+jSWOsXtO/9jiPmbaFMmiCqiKIsyvLRskQUnZuezEsWgCe02LcGdQoMmohkrgh4OJeBz1JTORCCzamdIDg90FWRHNeRzHg0wlzdCQlVDIpoKI1HAKt+dht+2nUmJ5ahIvK0KCY3dC9IQmFrqh2CkYTNVVmWQmgdO1sXsusRsNEJYgoRkaqq6KabymDHT/nu2TyonfV9NV0dxrKplCmpFZ4aEoTRbZWtym17EJ/JBkLoHnyWTyKeyWA9gUxwo0yi22l6oURrOEfZOqeA5EU9tt9nj008cwUwaKJrNydoPSRIHpfRM0y23hIQDGd4+i6jKr5zZpbjdxOhZ///uf4+irr+H67z7yjO+H6199iGwxzeLxZRGylU/S60/Xd0rVRcrt00vXdUql0jO+J6IootfrDRr3ra0tLl26hO/7z8Aq7vzRdZ21tTUURWFmZmbQvO9M23/v936PvXv3fk3pytW6Wt9QfYtO0F9qk/PgVOKYH/3RH+Xmm2/m3/ybf8Ov/dqvfeMn9zw1Njb2kjTlT6/viAb9Ke33C5ugB0HAE088wdjYGDMzM897/69VO5KapfU6na7DzESBXOb531Q3Hp7h9MVNjp/dIIyE9nwop3LbtVOEcoau5TI/P8zZMxvYtsAmdrsBY8M6L791gb+7+yQXLpdJpA1cOxjwkqv1LtmUyW237ObkqTW+dN95TFNn1+wQjbbFxmaTsyfWue6OOV55w24O7R7n937zbuymTSKpE0mCJBGWHZo5l1uv38UtN8zyob89Rj6XwCylqVe7OLaP43kEnsyu+VFuf8Ve7rnvPOXtDmOjGToNC98P8dwAL4rIjmQ4cM0kUzMF7v70KcYmcnRqFp2mheP4WI7P3MFxyhst3viW61m+UqNxchVNV3EBzwsJI5exyQKaKhPJgsF85ck1yit1AsslDCOsrksiZZDJmtRcH1WVGR3NcuGBS7hdh7YksX1Jxcya3PLaQ/hhRKPaZW5hBLtlsXp6ncurVZZliUQ2QW4ozY137mNjtU4Yx2SySbYWq3RbNomUwfTcENq101w4vkwqm6DX8ZB1Davn4ruC1FEopoSO11BZPL5CFEX4boSaMKhutcQkPaVjmGLiaBgK9eUKoRtghULOoGeS2H35hpoQ95UkYQjcurTFwg276dbaWPUuShxhO55gZGsqsirj9Fy8no0UBiRSaXKjGbr1NmEgouCjOCYzlMPruSQzJlO7R3AsDzOdwEgnCDyfxkajP22WkGShwx+aHSIMI1qVDmbapNfo4bRd5P6kW5ZlAi9C1VRBoLE8khmTbtgdpGBKylOJoJ7tCnKKJg9Mtr4rCCny04yfcRQLyUUcI8kyqqoQhCG1jQbju0fRDG3ACbe7jpDk9A2PMUIK0mvZ5IYzfaJJjO942F0RzqNoKr4rzJapfJI4jsV0uE9MsdpC3rWT+OnZvkiuNTWIJTzXE6QWSSIIwqf45RLIktBuq7pC3McdqroIGBLUlmdKXcSOgZDMhEFIq9wWC52d3YWdi0pfOrNDqPFdH9/x+2z6HepL1N+JUAj8QJhlkfpUGYlUXiymgP5uidA7a4aKmTLotWzatS7dpoWsSIzPjTAyM4wkS7RrbWRJZvrAJNMHJjj30EWstkNpJo9z3sXpCu57tpTuvzeEfr1VaaNoKucfvUwYhBx+xQHqm02a5RZTeyfYc8M8e26YZ3OxDMTc9Ibr+OwHv4DTczBTJpIk0Sx38GyPbDFNbihLp97l/o89QqaYZu+NTzW8iqqw76bd7LtJ/Nvi8WW+9NcPYndsEpkEnuNhtR0OvfzA817DZVkeNN87FccxrusOJu2dToeNjQ0sS5BrfN9ndHSU7e1tFEUhl8thGAaXLl3igx/8IA8++OCAk/5clc1mAb7uEMqyxOv3dPLL8x3v6x1z53gv9JhX62p9rXqhJue1tTU+85nPvCAPxU793u/9Ho899hjHjx//Pwrt+W3foD+9XogGPY5jTp48iaZpX9MY80LLsn3+9t4VmtYqfhCSSZl8/2sO8erbvz4JxtBV3vnPbuXMpW22Km16nTppw+Vlt9/IY6cE8D6dMjlwYIKNzSbNpoVuyLzxu+a5tFrlS49come7+IaKZMiEbjRISbzl5jkmpvL88Z/fT6XaxTBVOl2HyfE8czNDdDoOP/CKQ0yN57nrroeorreIAT2MME0FSYoIvZi9syV+6Huvw3F8yhstHNtjZrbEwUMTXFkss77usGt2jCPXTvPkhQ1W1ur4bkAQRWSHU3TrFp22Q6fjcODAOKEEn/nsKWqVNl4Ykh9K41geju1Rr3RRJInZvaMsLtd44sHLpDMGk7NDrNo+ru0jRTGe5eHFMQeum+bTH3uc8nqT8akCjXKbznZb6KHDPlrPjxjdW2Lt7CaRK7CCO5Lfbr3HxdPrdL0QM6GRrXXRAbfeETIZTcGvdJCbFhfOZmg2bXbvHyNXTDE0kWdzqUq93CaVNthar1CaKjA9P8a5Y6ukCklhEO06uJZHvdJhIqXjeREzh6ZJl9JcPrGKkTRQVQW/beFZHoqqIqcljKRJcjiPpMh4XRvV0AgkwRsP/FBMujWxha6oMkEQcfyeE7S3m4KgEgkdsp7QBY0EgdELXJ/aZpPNS1tsXtokDEICTcXIpJg5PMv4bInLj12mtlan27JIZRJErjCYqpqQZRjZJIXxAu3tFqEfDljxVtvGczy0lIau6yJWXlX6tBGB5cvkU9QdH6cngn18NxANZBACQiYTx2AkFfy+0VZWJSS5nxbqPxW0o2pKnxMeAGIirCAa2HaljZ7Qhe7c9lBUwVL3Wr4g0chyf6It5ClGUsf3Atz+1FTTVApjOZpbradCfyRhHvUdT4Ty9Ek1kixhJA1BTimkBwmUEeI+iqYI82UcESMNdP3EkMol+ybUGKtjoyd13H4g0E6DDuC5PhLSgLQiJq5P6Z3jnTFW/y+n5wwW7FEYE0U+kiSJ3zWlDxY7URCSHcoKQ3jHxnU8es2ewMXaHkbSQFEFA1/sRDikckkhPUIkhm4vVwlDoSFXFIXcSJbieB6A6159mFP3n6XT7JDMJOjWeqi6imv79Bo94ljkEaiaysTuUVbOrrF8eg3V0JAlSGeT7LpmevB7ju0a5uKxK1x4fBG763L8i6fJDWf7LPsepYnCIEzISBZZPb/BiXvPYHUcoiBkZHaYyT1jz/jynjk4yf5bFrh0bInqWh1FVZg7MsOe6+df0PX/q0uSJEzTxDTNZ4QYhWHI8ePH8TwPTdNYXV3lYx/7GP/zf/5Pdu3ahWmaXHfdddTrder1OsVi8TmPvzNdr1QqRFH0nDr0zc3NZ9z361U6nWZkZIRyuczW1tZz3mfneGNjY1flLf8H1T9lkujTpVIgUKXPtdD8ZpicQSS//+Iv/iK//Mu//LzM8q9X5XKZ+++/n9e85jVks1n+7M/+7Bs+RiKR4OjRoywsLLyg+39HNOg7X6QvBLN46dIlOp0Ot9566z/KLQzwD1+5zOJ6h8mJIfK6SqNl8ZHPPMnMRJE9u4a/7s+qqsKR/ROM5GVOnVrj1luESXXf/CjFXJL17SYjpQxT00X0lM7uyRSlosnnn1ihmE/RadoYukqoqkSpkISisXdhhH/+1pv5//7n57H6E2RVUehZHpvbLfKZBKmkzmgpw5//1UM8+vBiH5MX02k7KJoIr9E0lcN7x9ncaPLnf/ogqys1LNtjc7HG5FwRNI9DR6d4+w/cwuceOE+30iPc7mG3HTxNwSsl2X9kkvJmmztfsY+e7XFpsUyxmKLTsPC8gGYMC4cmWFuqkUho3P7yvZy9sEVjvUEUifPxg4j5g5OU12o0Kl1UVWZstkS5blFeXaPTZ52Pz5QwZFnIUZwAp+uiJTSq9R7drRZxKKLJdVND02TaDYvQcsmVMtS3WpzYaOJsNlBkGUmX0Q2VMIzw3YDmegNXVli+XMFuWhRH0nieT6vSpV5tEksS6UKWi6c28Fyf4YTO+FSBoWKS848u0qx0iPwQ1/UpTRTZvFxB0xTGp4skUgbphMLSqTXsjo0si2mskTaJJSGT0dOm4FFrMs21Kl7PwTNVIj9EliWMbJLGRl28pxI6siwROC5+v8mSJCGbEJKYbXq1DuyE3XghbrtLPmeQ7WPqGltN1s5v4nQs2lVx4fX7KZTZoQzDUyWQZJyuTWu71Q8NkvAdj3QxjQRM7B4jlU/RqnXp1tvYbREAlcwk6LVFMqVqaEi+hJbQ0Q0dI6XT3G4Bwkxrt20CL4JYaM8HKENNcNk920NWhCRFmFqFptfq2MiWS+hHArcYP5UeKj2t8Y0lob/Wkzq+G/TpKILlvaPtjqN4YKS0Ow6yItjvkdK/3uhqP9jJx+0371EUDfjxetIg6tiDybVuakIWosoDPGUYhsRRjJnUBevcC55KOu2jDlVdHfDkRbKokI5YLfsZ28w7gTsiTVUayHCk/v84XWFyLo7n6fa1807XFRpxQ8dICG56ZbWKY7nIfX+B1t+xUVS5v8OhoBkqekKn2+ghSQjJ0NOlIpqCpIGGTmlGJIW2KoLTPzI7RKfWEf4FU8PMmCzcMM/FxxbxbQ/fC6htNDh+72mufeVBjKSg0GwvV5CAfTfOs3Zxi/pWk/n5UUZnh+k2us+4vlpti2NfOM3G5W1A0G2u/+7D3PSGo087R5Vb3nQ980dmade7JDMJRncNoWov7ddmp9Oh2Wxy++23Y5pCmnPDDTfwL//lv+SjH/0od911F1NTU/yrf/WvWF5eZmpqimuvvZZf//VffwbR5YYbbkCWZXzf5/Lly+zZs+dZj3Xu3DkAbrrpphd0bjfffDOf/OQnBz/3jz3e1frOq+np6Wf893vf+96BlOXp9VKbnHfq3/7bf8vu3bv5uZ/7uRf8M89Vd9xxB4uLi7z+9a/nU5/6FD/yIz/yoqfxb3/72/nTP/3T5zW7fkc06Dv1fBKXzc1NlpeXufXWW9F1/Wve74WU6wWcPLeFqcsD3vlQIcX6VosT5zbYs2uYIAg5cX6T1Y0G6ZTB0YOTFPNPmVE7nQ4nT57kwMFDdHohkuxSzCX5oe85yt/ec5JqvYeqyly3f5KbDha4tLyNZXvMTBWwei6VSocwigiCiPGZHK99tSDHnL28TSKhISkyjiMa9VZLaFZf++qDPPLEEg8+fJmEoZFI6DiOR0hEFIAqSZSGkhy6ZoIP/sF9bG02mZ0pUWv2aDQsFs9vs3DtGN//uutJJnS21xosPb46MC6Gfkhno82iqvCyV+3nxpt28aEPP8LQUAYZqGy2sW0Pz3Wp1nsURjIcvWkXJ0+tU692mZsr0alb9Fr2QP6SHc4yNFHg9lfv44ufPUM2m2B0Io/VtnFdn2q5w9TeEWJVJpdPcM31u7j/C+fw+gEtYRjhOT75YgrXC1BkGSOhowLt1TpREBL1WdyGqpNMm/R6LmoYoasCn1g5t0EljERzpcjMXjuFj8dwepj5vePomsKlk2usX9ikfHZVJDxqKvPXzgqpjxcyvqtEry2kPZ2mRWEozfjuMdoNC6fr4PshsqEhGTpOvUMURCiyTK6YIo6FzMXrOkKGEINi6niWSxSEJHJJ0nkxvXc7FoEjwoNiIA4jtJSJ27b7qZFJZFUWumk/YHtxm5HZEQI/IJlNoEgMGijN0EXTGEW0tptM7hlH11VSxQye5VBZreI7AVpCJZtP0613mTk4Sa9l06p1yA3lcC2Pdk0kh0aR0BkbCQ1NV/vNV08YG82dybcPkkTgBn1jqTK4UCazJqqq0Ci3B1NEQQHy+oxv0cAKUokuCCI9d4BBjPoM87ifuml3HDFVViQCP6RZbpPOp4SkJorw3Ri7I/Tpqq7QqlqDc4lCgSaUFRnP8XEtd3BOqqYSBSHFiQKqKq5L7WpHmDZtv/+79afqkmChq7oy0N0H/V0Qp20LOk6/qd8pYURVhGwnFk3zzu07puQdhCOyTCJlYnUErrKyWhNmVEUkp6qaiiQJk2ocw9BkkV7bJnCDAWIy8AKc/mLeSOpEYUToR4SEVFbrqLoi3idITCyMUivX6dZ7lEaK7L5uF3tunOfS44tsLpbJDaVp1zqEXkhxIY8sSTSrHeyOg9V1GJ8fwXd9Vs6uEfgBB27dw/KZNVRFZt9Nu1F1laGpEpXVKqlCmtmDk3zhL+7HatsksyKldXu5xuhMidlrpvoymBYn7j3DrsMzZEsZVE2Yd2VZZnTXMKPPM1B5sRXHMefOnRtMyndKURT27NnDJz7xCX7mZ35mwFFuNBqcOHGC48ePPyvNemRkhDvvvJMvfvGLfP7zn39Wg37+/HnW1tbIZDK8/vWvf0Hn99a3vpVPfvKTfP7zn+f973//s26/5557Bve7Wv8H1T+hBn11dfUZcqmvJdN6qU3OAH/+53/O3XffzcMPP/yiyS87tWfPHi5fvvyM6fdb3/rWb0gLb1kWp0+f5q/+6q9YWFh4zoXK0+vbvkF/oRr0VqvFqVOnuO666wZc2X9MxTtfgE/7FOwEj0RRhB+E/K+PPswTp1YJ+nSHz3/lAj/29tvZNVnE8zyeeOIJWlaC3/2Th2i2HRKmyitu3cP3vf4IP/PO72K93MLQVcaHs6ysrJAwFAxdxfEC9u8fY2goTbnaQZIkfvSHX8bDp5e5uFwWoYmKhJxWUbyI2BPTxFd9137MtM7ffuY4rZaNZfhIugwuKMjEEZiGwm137OLP//JhTp/eEHi3zSZjozk0JaJei7njugWuPTjBww8vsvTkBr22QyJtkEkbeF6A0/NISjL//K03YVkeruVht2xyhRT7D0+ycqVKebtNNpdgaCzLpdUaG+sNAj9kcanG8FSeKIxoNSzq1Q6j4zmSxST33H2G7bUGVsljfCxHOpsYNLubKxJm0mBy7zgP3neROI6ZnC7QNFRqq3XiKMa1PFxPNH16Smf9/BaaphD2aSOB7REGIZ7rDzS+Q9NFVs9uELo+kiICYXzLY/GJZZITRaSxANvyGZspsfTkEo2VCvIg0AbO9VzSU0MsHJokmTaZmB+mU+9RL7cpDKWxug56ymT39XNcOr6KmTZIpAyCQoLVsxvYHYdsKSWmrLkUyZE8VqOHqstkihnkKGTrfA/f8pDySZAkErkUFpKQdlgOkq6DLOO7NlKfxy1JYjpqeT7teo/HPvU4leUKEA8kIIlcok+kiHFtoeEWCaEd2tvNQdObHc9yw6sOU11vUFuvUVuvU5ookswkqG3UUfoSGUmWSKaTA726JEEym8fq2NgdG1VXUPUkdsfuB/BIIknU8UlmROiN2/NQ88mBDtv3gsEOmpHURbiSF/RDo0TDGEvxAGs4mKbLEmbaFJNxVe7vNNDXp1sMTRbwbJ9e20JRFdKFFFtXKv2fRRw3jnFtj3Q+Kbwb/c/5jrwnDEL0PnN9JydB1mSiMByw1ONIaPSFaTHVN0n2UZRBNAgMCnwRfhXHQtrkOT7JbBKpT9MJQ5GzEAbhgFLz1IUJem0Lud+UR2FEHIDVEuz4MBBoT0VTyBYzIMV4rsBJepbYDfAcB/r6dd8N+sjHmNxwFqtto2pil+HcI5fYXNxCy6jkSlkmFsaFVAZYuH5e8N4TOtlShtp6g+Uz66QLqT6rX2fu8AyqpjB/ZBZVU2lutymvVDESOnEU93X69F9vA7frsHB0ju2lKhceu0xltUYURWSKKeavmx18N+RHcpx7+BJ3/697kRUZM21y4JY97L1p/h+9k/r1an19nSAImJ2dfdZtv//7v4+mafz4j//44N8KhQJ33nknd95553Me773vfS9f/OIX+d3f/V1+9Ed/9BlNyQc+8AEAfu7nfu4ZcpQnnniCH/7hH+aaa67hQx/60DN+5u1vfzvvf//7efjhh/nKV77yjDTRr3zlKzz00EPs27ePt7/97S/+Sbha39aVzWaf0aD/U1W5XObd734373nPe7jhhhv+0cf79Kc/TbVafQba9Hd+53cGKcDfSL3//e/nT/7kT563Qf+OSBLd+eL9Whp0x3F44oknWFhYeIY28B9TpqFxeN84thvhOL6Iom5aGIbKob3jPHl2ncdPrZDPJpiZKDA1lme71uHvP39qoElsduDzD6xSrfdIJjQcN+CTnzvJF+4/j66rzE2VmBjJDRjQpZzO/vkRtmsdyrUuATHpnMlrv+sAyZTO0kad3buGRCKpG5JM6KhJlcJ4lu969QEOHZnmiw9eRNUUzISGoSlEUoRZSDAyWWB8tsg/f8dhnjy9yvkL6xBHxFFEp2OzsloligKSSZNsNsFDX7nMx+56ZKCbtbounT7lIp020VQZXVf50mdPsfjkGqcfXuKxL57n8sl1ssUkN9w2zw/+0E04QcjoSJakLGNvtKie22Ll/Bbz+8cYnSnystccYHimiBdGFItpNF3Ftj22ttosHJliaCJPMmOycM0E6aE0lUoHx/LEDsN2h4nZIcbnhpBlwcpWVZlYU1i+sE271sVzAxJJnV0HJ0mkDKJA6G09y0NWVZbPbQqNraaQLabQkzpGRkeKY3RJotOyOP/kMqvnNrCqbSRFQk8aqIaOntL7UpAmq4sVrJ5LrphmfE7gNaubLerbHbSEztZqHdf2yBWSTM8PM7N/gnQhReD51DeaVFZrBGFE3Ndgz+ydYGbPKLMHJtGSBp4rOODdRhfP9kgVM8iqgpZKkB8rUBgrIGsaURDi9tx+o7pj5AzZXtwGWcJIJUDqT6X7Ug9N15D7/7b45ArlK9tCVx1DGAR4bYcoiJmYHyWRSbC9VKW8UqW+XqNdbuP2XHxHLHpUTchIUrlEP6VUNGZRJLTyqVyCbEnsLAzPDpMbyRGFMXbXRU/qIEm0a11BNZFFw6gZGtlSFnWHLKKKcKTQiwm9kCiIUQx1YKSU5J1U1KeuFZKEmK73sXeO5dLrGyYlWRoE+Qz0IoOLj9DHy5pAVmqmPkBIEgsWumd7WB0HAFkGM22KhU9/gq6nDMG7dz181xN6+H5iaXEsN2gghbFTAVkw8sV9IqJYNK6ZYlogMGGwSwASRIKjrmoqkiwPmvdEHz8YhzG6qfUXljG9lk0cxaTzKfSERiqfFPIcxxM7Pa5PtpQepLgG/UVvtpTGSOq4jkun3MOzfLaXyoMFFIBruzTLbab3jTN3ZFo8T8BNb7yO0kRB7BQgEJ2jc8Momkyr0qGx3WL13AYP/M0jdBrdAT+9NFUkXUjx2n91J295z5t44795DT/wU29g4egufO+pYU2n0aO8VGHrShlFUejUutz/8Ye5+NjiS/J98Fzl+z6XLl1i7969zwon2t7e5td+7df47d/+7W9o8nfnnXcOmMxvfvObeeKJJ7hw4QK/8Au/wB/90R/xxje+kV/8xV98xs/8yZ/8CWfPnuWjH/0ox48ff8ZtmqbxsY99jGKxyFve8hY+/vGPs7S0xMc//nHe8pa3UCwW+ehHP/qPnk5erX/iiv+J/nwD9VKbnH/qp36KfD7P+973vm/sRL5OPb05//mf//kXPcx9+9vfzvr6+vPe7zvqU/VcGvQwDDl27BhDQ0Ps2rXrJX28N7/2CKfPXaHVsQmaEemkwfe88hD7d4/ysX84ThjGJPtfmLIskcuYXFmrcer0OTpdm8fOtFjfapJI6siKTCmfpFrvcf/Dl/nuOwVJoFzpcH5xm3arSULzeOvrb2ZiJMfJ8xsoisx1B6a49bpdXFjaxvdDMsMJ9uwd5dLFMpbt4QchBxYK7N0/xl2ffoL17RZmUiPWZHodlziOCAMJJafwsjt2c2XdYmPbJZEwSGQkrI6DBFiWSxwG5HIGW9tr3Pv5FVw3ZGQ0x9ZqHZCIgghTVYjDiP2HJnnwy+e559MnyeUS6KZKr+dSXmuQSOu841/cSrNlE0YRG+e3qC3ViLyAKIb2ZpsT3YvsuWWOqu1y4dwm2XyCsZEsqYxBr+3SDWzqdQs9ZbDv6CzNRo9212XPvjF8y2NjqYpr+bSaFkOTRSJZ5tqbdnH54jaNWhdJUXAaFlEUE7oByYzJ7KEpNhYr7D4wzpWLZey+NGVnWij1mzdFlZBClVwhyfqlbWodB1mScLsOkiSm7JIik0hoWEGErso0Nls8cWWbwPEI/JDiZJHR3SNEQczsvjGqGw0am03K602UOKJTbqEQkymlkXWV2A7IlNIQRTRaFq1al2I/+n3qwBRr59ZF2JMXoJgasqZhNbuYKZN0TjRi6aEsra06ruUKOUYYoRoaTldMV4tj+QEtJPD8PovbGQTk6Ekdz3FFjHsmIQJgZBnfDdhc3Gb3dbsojhdwLYfyao1uvYskg9QPGJJliW69i540SBWE1rtd7eA53mBKDVAcL6DqKvXNJmrKIJE2cS0Xu+MQ93XeRlLwzXcmxqmsCZIgg4R+MCDJiEm8jCLJxLJMIp8YaMGt9g6hQgQC7eyaKLpo4DRTQ9VUAi+gsd0CJGS53/yyo2uXcPuLD0mCKBT0FN0Uz5Egqoip+o6EJ45CgiAUZuIwxGpbSIhmfkfrvXPNsDoOxbEcUSQY5vTRkq4n3keyIvVlKE/j0psavhcg7SSZuiEy0mBnJI7p69lFEFXgi99PloVpNZkxkRVN6NNtH1VXmdwzht1zCFxxfz2h0653kfqLpGQmQavaEY8rg2HoWC2bymqddr3L/JEZodW3PGYOTDG5Z5zJPePsvXGe9YvbzB6Y4sKji6ycXWdyzxiyLLN6bh235zI8UyJTSJFMJ1g+s8ZjnznO3LWzFMfzHLnz4GAXdXLPGJN7BAatvFLl8btP9Jn2CksnV5A1hX03LaDqKlkybC9XOPfIJfbc+M2Zoi8uLpLJZJ5zKPQrv/IrvOY1r3lOmsXz1X/4D/+Bo0eP8oEPfIBXvepV+L7P3r17+e3f/m3e9a53PWsx8Na3vpUPf/jDHDx4kGuuueZZxzt06BAnTpzgfe97Hz/90z9NuVxmZGSE7/3e7+W9730vk5OT3/A5Xq2r9dX1UpucP/zhD6Np2nN+vnYa/Te84Q2Dz8Mf/MEf8I53vOMFn+9//a//9QXf96vrsccee0az/7Xq275Bfy6JS9wnmsRxzKlTp5AkiWuuueYlx+8MFzO88bYRpuYO43ghu6aKjJQEdmtHl75zLiBwgaYOm5vrrDaSnL1cJgxjPD9ku9rB9XyShkbPEkSJBx65zMc/9SSdrkMQBBhazNjkbl5z+z5e0yfFdDoOH/nYYzzy6CJb1Q71tTaHj05xw42zLC7XyKQNfvif3cLH7jmBosokEzqppE4rDNFimbSRQpZlvv/7r+Pc4jaXrlSEfjWOiTSFVDbRbyBkZneNMrtQ4qHHtqhWeyCBJTuoukzgigbH6jpMTheIFIk/+6P7aFa75ApJhoezlEoZmrUeWgi754d54tgKleU6W6c3ieOYTCE1aHYIxbEyw2kURaLTsnF7LjMLI2yt1KlVBPc9XUjS6NqsLlVxHZ/Fy2UmxvN0mhaNapfKdgvX8dESOpevVFi9UiVfTDE6WUCPYiprYnJd2WjieyGFiQKRoYEsMTk3hCzJbLhCptPrOKBKqMii4dIVQttD1hQ0TcFrCxSgZ3souopji9d+ZLrElWNXiIKwH1oD1eUKrYbF7HVzhGFEcSxHcSzH+pk1ameXRFMcxSiqglnMMHPdHMXRHLoqc6Jj0aq0aY/l0HUVq+MwfXgWq2Xh+SEjkwVSWZMT93TE9Lofb28mDaxkgmQugdPskcokKE0UWD+/0W/K+/dLG7iWI5JMQ8Efl3fCeAKhrY+JUQ2FwBEIw1alzQN/8wjdRhdZFsmaQkYjSDJOzyXqT1LjMKK2URdSlCAilUuy58Z5MvkkT37xNIEbMH/tLFbbxmrbIkY+oWP3RIOazCZRdRW765AppOi1bayOg5kyBiQVp+cI9rgskciYAu2nisWEposJu6zIQhbiC6PmTpCSJEHYb8KDMEBSJSIvFOmhcTwgp0iSCA8KvABJkZAVRZg4A5GgOr5nlK3L5QHfe2SmxOblspj+S0C/2Q+9kHQhhd11BqQWVVPFboypDQg3gS9SO9OFFO1qp79wkvrymb55NCNMxY7l4jseMfRfO3Fd3GneiWN6rZ7IGEgaBH5A6IsFWdCXCKXzSYykQbaUEcSeVILJo+Msn1ljbNcwrUoHrx+u1K51iQKxkMuVsthtV5iydZXGVovL8TJjcyMURsX7fKdUTcXu2Dz8qWNEYcTWlTLbV8rkR3OomkphokC2f02d2j+OpEi0qx0Cz6e8UuXRTx/j6GsOM7HwTD7xzW88ip7QufjYIoEfMHtoik6tO3h/gDCOOl1HvL/1l7ZB73a7rK2tccsttzzre+eJJ57gIx/5yLOSCb+ResMb3sAb3vCGF3TfO++8k0ql8nXvMzk5yR/+4R++6PO5Wt9a9U9JcXmh9VKbnC9evPg1b3vlK1/J+vo6f/zHf8wtt4jk9dHRZ2fSvNAql8s88MADrK0Jyt7U1BR33HHHs+Qvm5ub/Lt/9+/4u7/7O77v+77veY/7bd+gP72ens4mSRKLi4s0Gg1uu+22b8qERJZlZFliz67Ss4wE118zzRcfusjqVpN8JoHrBdiOy9yoweT0Ap97/ATDpTQbThNVlkGGVsch8CNuu2k3lWqHD/3NYziuz8RoDt/3WF2v8ZG/e4Jf/OnXoWsqURTzhx/8MidPr5NMaCR0lfJakwe7LtP7hhgezvA9dx6k3XVo9xzmdw3RadpUyx380EfWNNKFJN91+wKFYpLyI132LoxgtR1cN0DVZLw4IDeaZmpiiNe+7ho++jdPYCRMstkkXn9rW03IpHSFZr3HwcND2L7HI4+cJ+iHyHTaDp4XMDs3jK4rKKpMo9blnr85RuVKvb+lLxEEFom0QaGQorrdhjCmVEjiljv0mrZI2ttoM7Z7iBv37+HwkUkefHCRmdkSXs9l6dQG27Uuve0WMwujqKbGrvkhepZHFEMqqbO1VKPbcZA3W8wdHEc3VTaXaiiagmpqqEmd6mYLq+ci13rMzA8xf+0sl48t4douSqTiRRFm3uDy8TV8JyA3nEEzNeQ4orvd7KMDIXQEPaayUiUOItKFFGEYo5sqoRdgd21qmw2y+QS6DJmMQdDp9sNkhI45DiN6lRatrRZT88PohsbC9XOcffAilbU6juWhaAppRabXcRidKTE+KwJVhmaG2bq0SWu7JVImHR89aaLIMqXJElN7xwCJdr1LfaVCt9ElXUzj9lxkSSKRT2O3eqSKGfSETqfWFUQa20XSJcyEgeWLKXVto4nvCjpLFMXISIShmMQbSWMQxhOHMc1ySzS1fdKI03VYfHKZG193hNHZYdYvblFdF1riXsvC7Ykk0p3PtZ7QKYzmWDu/idW2MVOCVtNrWUiyRLqQQlYkjIRBIiNChDqNriCLSAzSMKMwRk9oxGGMrIuGXZFlfD9AVmTiICbqa/KjMEZLaPi2/5QZUwFFlwl9BmbVnYVJHIPVFOdmdxx0U8d3xeQ8jmNBPIkRbPU4xrVE4+1aHlEYDnwCnu0LmkufYiNJouE2ErpIsA1CUGRS+SR2V5hUIy8WIUOKhKqoFMfSbC9X+umqIsVYTxqD1FHP8Ykj4VsxkgaF0RyVtRp+n49utW00Q6U0XhByH9envtlgeLpEfatJt9FDliWyY1maWy18WywA0vkkuqFi9dNLV8+uC2nXep3bvu9GjIROt2lRXa8zqilc+6pr2N3YxZWTy+SGcxx++X4e/NvHBq+7JMsEXkC3adGudkkXkpy87xyr5zf5wXe/cYBZBBHwdNPrr+Poqw8RRzEbl7b53J99aZDmG4URrUqb/bfuQdNf2q/JOI45f/48U1NTz9oij+OYn/3Zn+U973kPc3NzL+njXq2r9a1cL7XJ+euhDHckWZOTky8YefhcVavVePe7381dd931LHWGoii87W1v4zd/8zcHIWayLHPw4EEOHjzIm9/85uc9/ndcgw4iiKjRaLC4uMgtt9zydcMf/jElSdLXNKaODmX4f956K3//hdOsbTVJmhpzozJvevURvDghGu+JPI7t02hYRHFMEITMz5R42S27+R9/fh8r63U0XcFyfIYKCTJpjXK1w9pGk7mZEp/87AkefnQRRRVyivHRHKmUQafrcts1s9x+4zylfIrP33+eTsPGK2bYf2CM426PbldD1TS+644FXv2yvRw/swGAmdDZvWeUSxe2abdtoihkYdcou/aO8InPnmB9s0UyrSGbCpHjE8URvhdi6CrXXL+LkakcX7rnHJqqkSmYuN2AOI6wLJfV5W3iCGb2ZPnD372bi2e3mZ4rsWQJ1BtxjCrL6P0t/lQuwYl7L+L3vAHzu9eyqCzW+L9/9BVculRG0xRkWaKz1sCptInCmHrbpr3VprRrCCuGldUGw2M5RnJJsoUUzWqXTtumWesRAPPXTpMtJVm+UGZ69wjdeo9WpYNjudSrXcanCySHUxTNHPlSjtUrNYyUgdQC33IElk+WyAxnicNYpHgi4fshGDpWxx7g97SEjqaJuHtFkXF7LifvOUkcBLg9h8D1UXUN3RSBRCLYyKe51WDj4hbtzTrVtRp60iA/MoykqSxcO0vgB9TXG1Q3GpTGcmiagpnSMDMJVEPF7Xkkh3KMzg2zcXqV0BcGSk1XKI0XRBBPJIJwojASDZztIcWQKYhdFrfnEvoBoefjWz5u4PYJIiqSHAs5TTFNu9IeTI0DP0TqezTiKEZSpIFpEER4jmZq9Jo9tq6UyQ1n8VyfZrmN03PFZDcQOuUdHntzq4mZMkhkTLGz0ej1sYISpQnRRJYmilgdG0WVyZRS2F1bhAYhtObEAg0YBCGaoYqYeQkR8NOPrI9j+oFKQsNNJIgyyXSCmBivHwaEJBYjYqLUDySSJeqbjYGx0urYYidKkvqy8HgQXkT/nHqN3kAH7zsBxYk8ruUO2PGSLOH1pSypQpoYIYsJgwir7RCGId2mSMgVCwKfMAjp1LtkhzJ4tofn+iiKgueI2+yeOzCPSpJogGsbDeEraQutqGN5jM6K5nfj4hae4zM8M8R4PyW5ul5j+fQaMSGyJAsvQ1Kcb68lyDF6QUzj04U06+c3eOQzTzKzf3LQMO8+OouqKeRHshx++QFWz2/Sa1p0mxZPfuE0E7tHUXWFylqdZMZk16EpAEoTBZZOr3Hy/nPsOTpH4AeMzg6TyiX77xnxFTi1b5x9N+3mwqOXB/KikZkhDr38H5eF8VxVLpfpdrscOXLkWbfdddddrK+vP0snfrWu1kta/4QUl2+kXmqT8zez6vU6L3vZyzh//jwg6DSlUkn4Det1XNflL/7iL3jsscd44IEHKBQKjI6O8t73vvcFP8a3fYP+9O3DnQa91Wpx4sQJDh8+/E13F8uyPIhr/uraNz/K3rkRmm2b06eOk04l2LOwm1qzRyqp0+157N07RrNpUa13URSZf/djr+K+xxdZ2WwgyzKGruH5IVuVLukEpFMSuqZwz5fP8XefPYHt+KiawlaljWV7jI1kcWyfuYkiUgT/32/fzZWlGtVGl7ULFUanEwyNpRlWE1y3b4LXv2w/y0s1HrnvEitntmlvddi9f4x9B4c4e26T+V1TvO41h7j7vnNk0gaJhEZC1+hFPqXxLHbHxfdDbn/5XirNHmfPbRFFMX4Y07ED8qNZunUL1/FRFZ3RmSybFYv1S3XBLPfKJHI6UU1QQqyOjSJBrpTiyplNuuUOmqaQTBuEUUwum8B3fDr1Hrl8kna9R2O5xvaVKkbSIAwjFEUm9APaWy3mrptGkSUa9S5xGLFwaJJLp9ZpVLq0W4KjjqqweG6bbstmebHCzNwQpfE82ys1apstrI6F6wQUJ0qsLtUwTI3JmSJxmOfyMU80OYpATEZIDO+doFnuoAZCbhL7ARvnN/AcH0lViM0Yx3JJ55MEnodnOSiGipowCHu2mC7LQj4hI5j5SBLn7z9L6AdIkoxneVyqdZi9fjeqpqDpKhO7R7hyapUrx5eoLW3juyKkRlZkhhfG2XfzHpIpg9j1WTm9SmO7SWm8QOgFpHJJMkNZGht1RmeHyZTSXDm5Qrvn0GtaZEppklkRD68ldBRFJiAgnU8RxjFWo4ekiM+imTbFNFuSkFV5gECUZEmkgzp+PwhHxmpbBF5IFMVsXCoL06njE/gh6XySbkNIUgJfaM01XcNzPBrbLTRNRTPEAi1TSjM2N0yz3Ka+0WBq30RfZ25DLMKMTF2l12+SB3H2oUj6tLsORkJHQuo/90IOs1OpbBKn5zwtbEg8rzum3cAP+ybUnWmvIKpoCQ1JjlF0Gc/yUVSZqI86H8jfJIiCaNDYg0SMMEFmCmnsro1ne6i6Kqg2rk9jq9GXqojzE/IkVZB2+smpsiIQiiK0Sh+cWxRF5Eby1NbqhH4g3ndBKBYNkpg+a4ban+ZHwqi82aBVbTO9f5IhvUhh9CmZytBkkY2lTfIjOUIrplPvEoYRruUKo3JCRzfFn9GZIeFp6djCaKrJ2B2LXtPGSIhBiucGbC2WCbyA8d2jrJxZY/nUKpN7x5nYPUoy8xSuUOqnu97/kYc4/eWzRGFMbiTLy37wZvbc8FTgkKIq3P4DNzF7zTSN/gJvat/EoJF/qSoMQy5cuMDCwsKzosy73S6//Mu/zG/8xm+QSqW+xhGu1tX69q0dk/N//I//kTe/+c28733vI51O8yd/8ifPa3I+e/Ysv/ALv/A1iS3dbpduV+Qh7AxN6/U6W1tbKIryDQNC3vve93L+/Hn+9b/+1/zET/wEhw4deipHox94+bu/+7v88R//Me9973v5nd/5nW/06fj2b9CfXju0k1OnTjE3N8fY2Njz/9A/sp6ue985h68+p831JSSiwQs8VEjzipsWuPv+c3Q2Bb4slTF41e17yeeSnF8sMz6ax+35WJaHYSr0bI/Ajzl8cBjH8/nop47hBAGKKmQ2qqrQ7blUql3SKYOpiQJ/+udf4czZTcbGsmSyJovLZdYvtxkaG+K6g5O8/LpdXLpY5o//55fodBxiP2J9qcb2RovMmM7uhTHe/uZbuHClTBTFTE0VqWx3aDVtkKHnBQyNZVnYM0rddTl9fpPx8RzJlC7SP2UZdIWJhSE8J+AVr9rPQw9eRpFVRsfzlDda4vlSFCYWkmwtN0mkFEZmEpTLLn7foOlGEUEYMTqRF1KcjRaeG9Codlk9vYHV6BE4PpIfkEybFEppWg2LMAjJJDQ0RaJ2pUrdC9jOmGRHs1z/8gXGJotcvrDF7O4RVEXmSm+T6moNr9mjOJzBG8+RzZu0Wm1GR0eY2DVEbb2J1XOpbreZ2zvG/JFpLj25gqJIuJaHrKu02i5220ZPaKSzJsm0idtzKC9V8C2XpuUSA44fYje6GKaOkTZJpAzqvo/V6ArudM8hDkIR6hOKaHsjZWImDWRForndYuPcBrOHZsgWkpTG8lQ36lQvrOE7PqqhouoqTsehcmmT/TcugCQxfXCKymqVxnaL8kqNMIjIDmexOzaZYpqpvWMEXkB2KEuv3qHX6hFFIXbbJgwjRueG8SyPqX0TSMDGYoUoCLFa1sCouPMpMFImsitCk1zLQ0/p+G4Pz/FI51MDHGEYhLT77HdJFhSPXsvGdwOUviwqDAXmMY5iPNvDdzyiMEZRZeobDeIoZt/N8zS3W9Q26pgpE9f2cC0XM2HQrovJuKIKkkwUhkSdCCNloCc0ETbkhyRSJmEQ9BtVTQRIOYJbDmIqLCbdkeCIGypxHBMGUZ8dr/VpMDGRHxHCYKIV9RcLoS8W9XEUo5kiFXWnOVdUSYQehRHpQpLsUJpWRaTc6gkNq2UNdOxisSCkNb4XkMqlBomnyWyybwYO+7Ql8dhyLBjvuqnh2h5Oz0GSZZGW6gXIipDWxLEIjfK9gKFJwR1fPbtOMpdEVmQm9wiEYr1Sp9ewSZgJDt6+l/pmk+Uzq8iywvB0SQQMyTKF0ZygyegqVttm8fgysiJTWa1TWatzw2uvJT+aZfFJ4cFYOLoLI2mw54Y5Vk6vMTo3SmE0y8OfemJgMguCkM3FbTLFNKO7hlFUhe3lCvd95CFGZ4fJDmWeularCjMHJpk58M0zPS4tLaHrOhMTE8+67b//9//O/Pw8b3vb275pj3+1rhZ8a2rQd+qlNjnv1G/8xm88i+jylre8BYDZ2VmWlpa+ofP8xCc+wS/8wi/wq7/6q8+6TZIkjhw5wh/+4R9SLBb5i7/4i6sN+terHe15HMek0+kX5AJ+KarZDfjff/M4y5ttsimTV966hztvXuh/2cLa2hqbm5vcdtttz9iaeeMrDzI5luPUhU2I4Zo9Y1x7cJJuH4GnaTJ7945yebFCr+cSR1AsGdx5xx7+9OOPsFVpo2kKsSrhOkIGEAQRvhly5yv28onPPMlXHhFpXOFmTDFvMlLQsByFG+cneM1te9nYbPKn/+sBtrbalIbTjIyaIjF0vcFUMce//ZevpFRMcX5xG7vjEo9EHDw0wZXFKpsbLVRD4eA1E1R7NuvrDYIwolzroqY0tCDGsl1c1yefTTC+q8gjjy+zulonnTVJGZowVnohjh1gGhrjc8Psv26Kxx5YJAxkJqcyrNs+nhMQRyFWt4tn26iqwtLSBg/efZFMxkRXZepPI8moqvji1vpJkt2NJoHtEQFWH3v3itccpGm5ZHIJZFliZDzH+QfOYzd6dGWJzfMSqqnBviFsT2Y4lySZNhmeLLB+uUynadFr29hOSGlmiMn5YRbPbpIfzqAoMuuej9tzqW21Se0xGZ0bJoxisoUkm8s1FNMgmTHw2jae4yP3dwnyUyUxAfV9AidA1hQkw8DtisAaM20ONLOaoeLbLitn1qgvb9OpdYnDkMDx0VM6ZlJMGkM/xHd81i5sMLF7jMvHFkXU+0iWGIVdh6YojOc5dvcJGptNuk2LTD5JaSxHY6NOFEXYbYcYGJkbRlFUrFZTGDyzCZIZE98RWngxERf6ckVXiMIA3RTc64bfwnf6fG3bp9vsCm15FKPqYtIrIabBYRgJFKPni9RUVUGWJGHokyUSKUNQTRDpl3EcU99qUl1rMDRdotvoUVmt9QOJZJqV9mBiHfgB9Y0GuaGMYLT7Ie1qtx9DrTC5d4ytxUqfxCKew26jNyDfCFNmjCQJs3DgBuSGswM5Ra9l4VqukNOEETuyF0mWUGQhAdFMYSgOdrjlEkRhDFJIFAnJSQzUN5uDZjyOYuyujdZnq9OnKO58T/ZnOwIJGcd0ah0SmQROzyWVTZLImlgtwZi3Ow6F8Ty+G9BrWULjLkmEXojVttETOjJy35wasL1cRlYUPNvD7jhUVmtsLZaFfMhxMJMmU/smyA9nKYzmmNw7zuVjSxTHctQ3m/0QIyHJqaxUAZhYGEM3NYanS5x96CIXHrnM7qOzJLMJEmkTIykm6rIsU5osYndsbvu+61k+vcby6XVUTcHq2qi6xvy1s4PnZXTXMFdOrHDvh7+CJAmW/sLROWavmXppLvpfo2zbZmlpiRtvvPFZg5rLly/ze7/3ezzwwAMvOazgal2t/9PqpTY5gyAjPR93/BuparXKj/zIjzzv/d75znfyW7/1Wy/qMb6jGvSzZ88CYrX0T3ERbLZtPvuVDTp2TD6XZKPc4i//9jF8P+S1L99Ps9nk7NmzXH/99c/QVIHYyj56cIqjB5/5pZFNmyzMDvH4qTUmR3McOTzF6kYDWYYb9qicuLBBz/FIJ02iKCI1pNNpOyQU8VK//a030+jZPHJsWWDWFBnL8ehtWMzNlPADH02VuHBxm7v++nGuLFaIwpjt7Ta9rks2o2KaCqVcjmIhyRfuOcMXPnWS9Y0mq2e3md07zOhkjkTG5LWv3M/qVpOw2yOjqmw3HQI7IEiozCwMUS93mRzPsf/gOMdPrpMvJCkndBRZpuN4jM4WaWx3sLoOoxN5UGWWVhq4jgh9qdUcJuZGKK/WsbouvhOjZ4SZ897PnKVZ7mKYCoVSkkRax+kJjW2r1hNGzYTOI3efodeyMdIGmqZSLKWwuy6nHl7k0Cv2UtlqU99qsXxqjcByUfrx7XEU4TseXsNGNRNUttpousLs/jGcnkt1q8XmSg3PC8kOZ9hYqdNrO+SKKSZ2DaERc+nJFZrVDrIi0W1amGkTN5LQUwl2HRgnkTQwJFi/uIXbcwmyCayWhZlPk8gn6dbajM4MkUybNDfrbFzYHOiRd7qyRD7J+ukVPEsYNGVdxu/ZeJaHkRDmSd3Q8F2f8mqVK8cWBYZQlulUWySzSQ69fB+yLDNzzRT1zQabl7dppA1WTq8SuGInRFZl5m+cZW7fLFbborZWY+tKmflrZ0jnk7TKLdLFNIjgSrJDWeyuS3O7idNzyA1nSWRMwdH2QhLZhGhiJcEoNxIadsfBTBsYSaMfXuQMEjF3Gjz6EgzH9tBMHd/x8Vwh84qCkJWz6xRGc4PwnPxoHt/xBnpqVVMGZJpOvUtxsgAxA9lNImPSbfRQdVVox9u2MEZ6AUZS76Ms/YG0JZEy6LUF+UQYRXekK3JfJuOLxKp+8mcUxhimiqKrSJKE7/o4lit2GGxvcB0QzTo4liOm+IpMFAg/giTLA6b704lVO9N9qa97D0PRbGu6SqfZQ0IgL42UwLru/H6apmAmdDKFFDWp2X+uPCRJIlRCQEI3DZDA9UOxC2L7aIZKo9xkeFeJVCqDbj4l6TASGjExds8hP5Klulrj3COXKIzkKE0W8Wx/cP9E2mTX4Wkam00cy6NZbtHYamIkDeaOzCBJEp16l9Fdw4zNj/KD7/4ezj9yicZ2k0Q6wckvnxkEQoHAUG4tVXBtj/G5UTzH48rJFe78odueIXt5qevChQuMjY09J8P5F3/xF3nHO97B0aNHv2mPf7Wu1qC+RTXo/yfV5OTkC+ojJUl6UWFG8B3QoO9gFpeXl6lUKs9qhL+Z9djJFRodj6mxPMmkoLiUa10+/+AFbjs6zbFjx9g1N0+54bNWWWf3tAgR+nolSRLf813X0O66LK/XCcKIXC7Ja25boFW5yJPLTYYKaTRklpZq2LYvttANmZfdtJvQgE///WmRXqrIOG6ApkIQQbVmU8gnGR5O81d//RgbG01SKZNe10HTFDpdB0lSUVWN8ck8Dz90mY9/9DE0VWF0JEu11uHS6S0kReE1332Q6w9Pcfz8OuXzVbYvV/FtHyeMiCWJVTfkyI27eMubr+fue86QShsMldJsrNaF9juOcfyA7Eia+SMTIMGl89vsmhuiNJymut0hDCMcP2Th8BRrS1X2H5qgWusR+CGl4TxOW9Bfup2Asd0lyisN7LYLaoiZ1XHDkKAjeNH0PApTKdIZkyiI6DQt5naPcM+HH6Vd6+I2e4Sej5k2yRdTtFoWahwR9nxyo0Ua6w0urNdYMTVQZcbnh0llTRwn4OC102xcqdCudalXOhiqhKYplCYLApmnyGSGMswemGTtwiau7VHdaDK3f5zJ/RO0al2slkVjq0kUxejphMALhjFm0iBTSKEbKtWVGp7j0al2CPyAOJZQzJjA8UjlU2TySfG8NsUCxbVcNF3F6TliuhsExFFEuphGNzXa/cddPHaFA3fspzhRYHhmmMD1WDqxLPTJuipY2U7IxulNZhemSeVSlCaLdGodzj98Gdd2kWWZwkQBt+uw75bd2B2XraUqmVKaxkaD5nZLEEaCEFVTGJku4fRcCqM5yis1EXBjVXEtDzUvpDmBIzT0yVwCpyt2lpLZBLIk0Wn0iCRBOxG8dnG7Z3tsLpYhjtFNne2liiCayGLUHPhhv+kXEhSn62C1HSRJ6KI1Y0jgEiWxQxHHIkBJ1cU5eU4LWRXa7lQugd1xUVQRULSj+VdVhViLkRRhKt1hjyNB4AY4lofUJxfJipDlGSlBVdlJI5VlCTNlYvcxgAJhKA4ShgFmWsfpeIMmXXTfYttZ1RRAGuizk9kEQ1NFqmt1wkAkkro9B0dVBDJTg9APaFU7aLqKkdCFX0IWz71n+2JREwpdezKToBtEBH6Aa/tsnq8gKzXWL2yw54Z58qNZ6psteo0exbE8+25cwLVc1i5uoekq177qGu790FcE/rO/G9TYatGqdcgNZylNCNPy8S+exmpbZIfE4u7InQdQFJn8SJZb3nT94JrZbfU499Cl/uuicOnYEoEfsHB0jnReaL23rpQ58eWzzF87+wyT8ktV9Xqder3+jCTOnbrnnnu4//77vy4W7mpdrav1rVVvf/vbueuuu/hP/+k/fd373XXXXbzpTW96UY/xbd+gg9iKuHTpEjfddBPnzp17TqrKN6MabRtJ6ktT+5UwNXqWyyOPPgFyko/cfZm1rSZhFFPMJ/lnr7+OGw5ND+4fhhEPPHKZJ06uQgxHD09x+027+X//xR1cWavjuD7T4wXSSY3Pfe4SmZRBud5ldraEaWpsb7dotm1uv3k3e/eN8g/3nyeMYnRNJUhJuK5H7EEcC2LHLbfM8ff3nObi5TJ9f5pobByfIAixezIzsxliSeKDf3wfzUaPfC7J8HCGvXtGWV9vMpQ0uPOWBVzHp7XeYeX0JpqukhtK47k+VsdFsgN+8PuPMj1VRFOFiU6SJA4cmuTyhW22NlvEMZRGMgQSNCpdfD9kda1BJqmTSOp0Ow4Nr4uqyORGMlQ7DitLNVJpAz2hk0ibWG0bL4rxfYlUIcP0vknCOGJzqc7EVJpOtUt9vUUcRzTrbVQtotWw2bV/jK989jh+X+YSOS6xHxD6odAihyLgxkjoZJM6a1tNojDCVkTojttzMUfz6IZGpdJhaCLP2uUym2dWaZxf6zdNEkNzI3gJk6nZIQpDaTy7RGOrRbvRE1z1OMbIJZk9NM3WchU9ZVAczdGrdVg9s05lrU6mz6Menh/Batk4HRtZksmO5NB0he2GCPsBEf2eHc3T2myI6bLlgiSRTCfoVDsofUQfgJk06Lo+20sVtKTB4hOXhVSlHzaVzCaQVUWwsd0Ap+NSWa1hJAxc26cwlqfXshmbH2FiYYzaRoOLj12msdWmNJ4nO5SmtuGjp00hW/ECjKRBfjRHbaOBmTJIZhMCRdh1MJIajuXRrXcHke5GUicKIzKlDE5HyHwS+RRW1yEIQuTB9Bg0XcXMCBmHJMvoSZ0oFLzvHaa8SN4UC2HN1OjUxbR8x2C5daVCabJAYTQnmOWeaFTT+RStShvP8cXn1o/EYkJXyQ1nsFrC8wCQyJjoCU0EUvWZ32EQUl1vCJNon3ATwyAcybVcssNZYeIMQ7qN3iBlMwrC/gRehTjs03Eicc59rbo4rlgIBJ5ALEqSBDK4tsfK2fXBzoGqq4IgZHnoSR23nxgrSRLDEwVc20M3NWJANzTKKzVcxyOZMcVizRXM/E5DBHwFnjB4typtTj9wnlQ2ydB0kfxonsmFMSRJLDZ293Glq2fW6DZ6PPG5k+RHsyQzYuconUsNeOYH79jLxcevYHccpvZPkh/O4ruBSFPVnvm19vIfvIXQD1k7v0kYhqSySbR5ddCcA6TzKbqNnpD7vMTG0CiKOHfuHPPz888ihvm+z8///M/zK7/yKy9ZivXVulpX65tfv/RLv8QP/MAP8O///b/nXe96F7Ozs8+4fWlpif/xP/4Hn/3sZ/niF7/4oh7jO6JBT6fTHD58mHw+j6IoBEHw/D/0EtT0WF4kSHoBiYRodFsdm6Gshq7LPHSmy5W1OuN9XfJ2rcOHP/UEuyaLlPqpiR/+28f5wv3nB9tFp85tsLRa51/+0C3s2fXUBT2KIiRJ4ubD03zyS+dY226RMFTSxST79o/ztu+/gb/81ONk0gbDpTTVahfdkFDSMsVUhqSh8a/ecQsPPb5Mr+uTzZg4boCuq9iA5PvgSxy6bpr5PSN85ZFFPC9AkSS6PRfPC9m1q4Shq/heSLfj8KcfvI/zT6wQeCF+EOH5IWZKJ19KoSLh9jzqtS7lpRqnHlvivKowsavE0FiW/FCKV965n2MnV9E1FVNVqa01CNoOTdtnzzXjrCxWGR3NMjyaYavcIZdNUF5tEEZQKbeZXhhhc7lKq9ojDES6ZIBEq2bhugHNmsPE1DD40Kx2cHsBzapNEESsb9Q59ZiQAQ2PZxmZzrN1qULgB1hdG2KpvwuhcPmxK0iSRG44QxTFQiftBmixaI42V+soU3lkzyPqN7iSLCPFMc21KkYpz5Ymk0ibDE8VaFWGWL9UZv1yGcfx0RM6XcvDskTTOzyWI5dPUF+v02tZbK/W6LWEVr00VUSudhibLZEfzhL6AfWVCl4fVakoMp7tkyhmMVM6Xs9hfPcY6XySU18+Q+D6IqzHUNFMEdgTBAFn7z9DHMYYKR236/SDi0IUROMb+mKCevHYFZy2TRxF1PuEmGwpRSqXwkgZLJ9aZXNxG0mGTq1Da7tFHInp7/BMiYXr50ikTE7ed05M1cOI4rggijhdR2iN2yJqfocmUttooCjKIFDH7ol020TaxO44It21TyyxOw5GQnsGwUVovIX2fOdzpqjKgCgTRzFxGPc14yHtaod0LkV2KEMURWRLaXwvoLpeHxjRd/wugReQLqSIwhjfFZSWZEaQVmLEVF6SZOI4GiyOei1r0OjL/SAlz/GFPl2CwBOLCSQJM2UIjGcsji8rMnEoNPuGKcyojuUSBRHZ4TTtSocdcbp43sGx3D7RRRE4Vy8g6lOCeo0ekiSRKaZxbVcw0eOY3EiOOIZeo8vIbInl02vCqBrHGAlNSI0Sat9DAMXRHO16l+HJEo4tJD9xFNOudymNFwCwug7V9ToxMftvWWD94ibV9QbpXIp9Ny/QrLQG1ztVU4V0qtLhyollJODkl85w4La9vPHHXv2UDh/IDmV40//73WKHwA/pNnvc82dfxrM99P5itF3vMDxVwkw/RYB5qWonvGR6evpZt/3BH/wBsizzrne96yV/3Kt1tb5mXZW4fEM1P//c0rcoirj77rv5wAc+gGmag0V2uVzGdcVgY2RkhJtvvpnLly9/w4/7HdGgJ5PJweRCVdV/sgn69ddMMTeVY3mjS9cSmDJTl7lmLsHU9B5WP38fQ8UUen8bd2woy/p2i3OLZe64YY7jZ9b41D2nCMOIXDZBIZfEcXweObbEq1+xn6nxPAD1Ro+u5RKEMUf2jWGaBg8fX6bVtbn12l28/IZ5smkTzxMN9+7dI1iWS73RgVhBM1W+53WHGB/LUan3KJXSaLLM5UtlPNfHCwISCZ3DR8bZe2iCT336JL4fYhgqjuVh6CqeF1Cvi0Z4fmGEv/rLh3jy2ArZfBKrYYMsyBOGopBJ6IRhjJnQ+ODvfJ4rF8ukEgaW5bJ4ZpOxnsf/9WOvoDSU4sFHr5BO6KycWMXabBOGETFwumFx5I4Fvv8tN/CZTx6nNJQml0uSySUEv9yXsN2AdDFNbjhHppBgbanG+HAaQxfa2sAPaTZ67L52iksn18lkTIyEjuX4TM6VONtaxLE8WnWHkYk0+YkMtdUWcV//GysKjUYPr2MjyxKKLLZLDEOl6wYkTY12z2Pl4ibrx2LsalsEthRTuG6Abmj0Wj0IfOyuy+q5dcoKNGs98mM5cqU0vh9y4MZdtKsdGptNalst8qU0yYzB2O5RKqs1PMcnimFq/ySqLrN9pUKj0qEwkkVP6EwdnGLpxMqg4UWSSJWyOB2L/EiOwrBAjRYnipSvbGO1xNRYaMDFQkKRJPLTRWRZooWE1eji2i6mZiJLcj8gRxGGTVkiWUj3ZTgR6xc2GZoaGmiEO40uq2c3sDr2wDAaxzGV1TpO1+X67z7C1J5xus0eiydW8GyPMAgxUyaqIjM+P4pqqNTW6yTSIkLesfrJlIaGZ3skMib50Rxu18WxPJK5BIEfUFtv4LmBYKb7At8oKzK6oeHYLqqqouoKxPTpJSIsaUf/HUURgR+ycnYN+rKYxlZzkEC5gymEp/TfnVqXwBUx9qJBT6KZGlIscI1RFKMZJoEb4HsBueEcru32J9ohqi7CnXzPByQMU+8jHsW5a4Y6SDvVDA3XdgmdSOjeFVmEsKkSmqogy/3U0CgavGYCufi0xFQZkCA/kcFqOlhNmzAMiQJxPsWJAplCitVzG/RaFsMzJa552X6qq1Vqm00SWZNuswuhhGwoKKoi3hthRHWjJhr7lvjMVFZrXHPHXvSEwebiNrIis/v6OcyEwcTCGO16B6frMDRV5MqpFRRFYWiyCBKUV6pousbUngkUTcHuOpx+4Dy7r9vFvpt3E4XRM4ykO0FFvhcwd2SWS8euoJsagReQSJtc+13XoCgvbWCd53lcvnyZI0eOPCsMr1Kp8Ku/+qt85CMfeRZy8Wpdrav1rVMvhPBi2zYrKyvP+vft7e0X7Xn8jmjQn15fKzjom1G6rvKW1+zh/HIby1dRpAgjbvD619yB7cs8+yXbQTHC8nqdD/71QzRaFrqu4lQ7tLsOMxMF2l2HcqVNqZDiY586xrETq/h+iO91yRZXecVt+zl6cGrQIFRrXe75/BlaW10qnR77948xMqqQKw7hBxI/+NrD3HLtDGEIpqHiuj4Tk3lkWWLpyjZIEocPTTMxXeDYqTXBElcl/DBG1hTRxHshnY7D3r2jXFyqcub4Krbl4Ychiq4QuCEyYPc8ZGBuzwj/+4P3c/qxZdI5k5GRLLqep9WykIKImck8ekJDJuaxz5+jttIglTUJwgjPDYjcgF0TeaZnSv2mKEaWJfYemuTi6Q0qW22srotuqhg5g2bTxrI8llfqjI9lSeeSNGtdGtWuCAUyNcxSmvUrVXRDxfcihiYLbFyuEHgRUaigJxIkh0Omd4+wudwgkdFRNImy4xK4AZ1mDz2pE0chURSRyJiUl6tEfoiRNlD6aZlWx0HtT/gkSSJXSNGod1m71Bbvgljomzv1LMXpYVxHUEAKI1m2liqce+Ac3UqLwA9IZJNkJ4aYu26SyblhXMtj89I27VqXTtMSBJUgZmLfJGEQYHUcpvdPkBtK8+Q/nKBZaVEaz5FImYzPj4gUzT52T9FUSlMl6usNMfHs7xgkM4J3HgUhXtcTuzdIqIaKZwuTqqprmKl4sBBaPb/O2sUt2pVWHzWoInclwRZXZNyugyxLdJs91i9tEUcRw9NDdJtddFOlNF4kN5zhzIMXiOKYuUPTOF0Xqy2CdwT6z8OzBS3GSOi0ym3GF8Zobrdwui6aoYrGPBDyk7jP9TaSBqqmooVhXzsutPrNcltMmaHPNI9Rlb550wtI5ZPIskQQRNgdexAsJA0+ykJG0thuIcuyCNPyQ8rLFfKjOeI4pr3dgf7x88NZmpV232sQDSZQsiyTzCbo1EUiZxzFA6qLmTXJj+SIo4hWtUPgBSQzfYNtP2CIGOIootu0SOWTQDzYWdAMVTTeftTfNdCI+zs/5cu1Pg4yorEtpteu69Gqd9hc3Bbyo7TJxO6xfvhTgVa1w+bKJpnhNOVLVSAmDGMh8ekv3lK5JGbaZHh6iMUTSzTKbUamSswcmKS22cAw9cEVUdM1Lp5bpNPoQQyXjy+zem6D4kQB3dCY3CuacxA7JqEf8qW/fpCH/v5xwiBk16Fpbvme68k/jcuu6SqvfNvtTO0dZ+PyFom0yfy1u5jc89Jjdy9dukShUBgkCT693ve+9/HKV76S7/7u737JH/dqXa2vV31Lyjf9Mb5dSpIkHnnkEYaGhp7/zl9V5XKZW2+99UU97tUG/ZtcCVPn6P5hZmdnefDBB1lYOEKhUCAfx+yaKnLm0jbKkISiyJRrXfLZBPt3j/LJL5zCdn0SpoYsy6iqjO34bFc7JE2NoVKav/+HE3z+vnPks0lyWZPl1RYf/9RxZqdHmJ0qIkkSS8s1fv8Pv0i12iWMIrqWx/0bDUZ2ZRkdzXJ03wQ3HZlGVVUMQ+H6IzN8/svnhcZXDtFSErcfXeCff/+NfOhvHmOolMJuO1QqXdJpA0uRyCUMXCfg9tt3c2WtIbalMwahF6IoMnFKJ5WWaNV66LrCweum2ap2aNct4jim13VZ9xrMzJbIZBK0Gj3aTZuVY6ssPbnO1mKVOAgJoxgzrTMymsW3fZYvbmMYKrm0wf13n0EGCiMZcsMpiuM5rr12mjNnNhifzFNeb9KqdvB6LpurdfYcnuTSmU0URSKVNgmBseki1Y0mvhewtlJnbrdoeMvrDVq1Lp7nkS6m6dkhVtdDUmSm54ZJHjRYPrOO7wbIcoDl+KDInHv8Cn7XJV1MMjmbpyZF1NYb+G6A1A9LioKICHCbPZEGqcjofe61W+/QyybZXm8wt2eU+SNTbJ1fo1VuESNY4F7PoXJhDUlTKQxlSGZMZq+Z4vyjl9lcFKSKGChNFOluNxmaKokwGAnG5kdYOb1Gdb2BZqjUN5voCYPscAbP8pg7LLbkfSegvlHDaltkShmifnhPYTyPZwkN9ujsMI1yi8ZmA8dyMVMmmqGhaB6B51PbaPZDlERjKUn0p+IGqqrgKbIwO0YRV06sEIXRoDlOZhMkMiZDUyWK4wWqa3U6tS6SLOgqiqIISY6mUhzPM7VvAs/1OXHvWTrVDsPTJWobdayOM/AmiKZZJFpG/dAczdSRFUngEuMYWZHQDAOna/dFIUKXHscRsiIJaQkClSh03oowaxI/FbxkqH1Mpvi6kmUZPwhpVTvMH5mhMJobkHeiKKKyVh+EI4lmX4QkJbMJ9L40x3M8Cn3JSOD5uP0mWFEV4jgmlUvidF3CICBwRfOvJTSIYnRTHEPVVKI4JpFOIEnid9nBOe7w2neee7tvwCWOKYzmCMIQ3/VJjpq0t7tUKmV0XUfTNHpWj17dYmh8CCOp02sJX4CR1NESmrgeANlSBiOhkS1m0AyNdr1L74owQod+xIFb9xDHMctnVnF6DtP79rP3xnkqqzVWzm6w5+gsYRRTW2sMrrVxHFNdr9Oqddh97SyKKvPkF07RLLf4wfe8aWA4BTBTBodevv+bkhS6U+12e4DQ/eo6duwYd911FydPnnxRx/7sZz/LBz7wAR5//HFc12Xfvn28853v5Md//MefNal/IbW5ucn73vc+Pv3pT7O9vc3o6ChvfOMb+eVf/uXnZLZfrav1nVRxHDM9Pf2iaCymaQ58UN9ofcc06DtP0D+lBn3n8VzX5dixY4yMjAx0iJIk8bY33cCf/c0jrGw0CKOYoXySt77xKMVckuX1BvlcAjkSiMMgkAh8MaV+2U3zLK3X+dinn8T1Ahw3oJhPkstodLouJ8+uMztVpNN1+KP/9WWuLNUYGk6TzyZoNttUaxZHd8/yqlfuZ6yYEl/QToBpSrzitgU0VeahxxfZqLe59YYFvue114l48SAinTLYNT+MZfn0ui6OF5BJmuy7Zpy1eodLi2UUVUbpDwB9LyToGwoniikOHpniyWPLtFs2Q4UUqqagKCL2vtm0UCSJVMbk0oVtPvnRx9B1lXTGpLeT+BhBLpugYnsYhsbJx5Z48ksXcNs2QRjRrHbI5JO88z2vRTM1zpzdQNdVkgkNa6uF0xFs7OZyjexkgeG5YTaWaoJM4Yfkh9JU1ps4lotleaSKKYZkGUkLkDsauw9NQRTT3GrjOSGVrTa79ozgOQG1rSbprEmn7WJkEwSOT8fy8J2AXschMZRAq3fwLGHODMMI2dAor9YJXR8MFUVT0HUNRVaE6c31WT61yspjl7E6Fk6tjWqqaKaOrqtCx1vr0NqsU6uUcLsO5eUqqXyK7HAG3w5YODqDmTR4+JPHaJTbDE0UyBSSTOwThJjQD2nXuphpk6mDU1w5toSiCGa8ZqiML4zSrrZwug5OT1BDZEVG0zUCJ2Dh+l0iHt716Ta6+I6P3RVa/sAT5JJE2sCzRKJnu9bt4wWF+VjRFFRNFRpwxO6Ba3tIskQURni2x7mHL5EupBmeLuFaLivnNvBsT6D9LE9INhSZXtum0+hx+M6DZIopui2LVq1D6AeEYUx+OIuR0JneO063ZZHMJgRicrlK4PnkR3P4ro9n+2RLGXauq2ZKR9GE7Mdq233WOX3jZYyiyGLKHj3VnCuqkK8I3Xj4jIt0FEZsLVVwug5xDIoiYyT1gZEU+hMoCYiEWXR01zCVlZpIwg0jsqUMdtdBUmQyORO76+LVI07KGwABAABJREFUfZyeS2migOf62B0bVVMFynC93t9hUNH60g4hYxJegTAIibz+QiMUvgC74/R/F7H4IILIjXA7PuvHt1F1hQ2rTHY4jZrUqK7UCPwQJQ17bt+FbwVUluqomjCstsptiqN5MsUUcRTTaXTptnpM7B4jP5Kj17JYOrFC6IekCykkJIamSqQLaQDG5kbEQhaJw6/Yx91/+iXKK1USaZPqWg3P9dl97SylCaFrT+WSrJ7f5LHPPCkCpwyNmYNTZEvpb+p1P45jzp07x+zs7LPIYXEc83M/93P89E//9IvK4/hv/+2/8Qu/8Au86U1v4nOf+xyZTIYPfvCD/ORP/iR33303H//4x7+huPMzZ87wile8Ak3T+N3f/V2uv/56nnjiCd71rnfx0Y9+lC9/+cscPHjwGz7Pq/UtXFc16N9QNRqN58SjvpAaHR2l0Wg8/x2fo74jGvSn638URcH3/X+yx5ZlmXq9jmEYHDx48BnnMj6S5Wf+n+/iylodzw+YmyqR7JuWxoYybFfbzM0NkUwaVKsdupbHzdfPcetN8/zF3z5KEITo/e3d7WqHbFIWMe9eSL3R44//8gFOn9kgjmO2ttvUG11yaZlUKoEaSUwMpTl+Yo0v3Hueet0il0/w6lce4NYbZpGCbYZefQsHDuwljmMWFys4LYeLWy32Hxjn2uunWfr/2fvzKNnus7wX/+x51zz3PJ4+8yAdzZMl2Zbt4JF4wODghPAj4XLDCkMSCDFJwAGvXHIDgQQuSQwkEIw8gR0jwGDLkjVZ4zk689jdp8fqrrlqV+15+P2x67Qk5EmyTQCdZy2tpXWqau/d1VW73+/7fd7Pc6WJ5wV8130HObu0jeYJZNJ6zI0OA/ScjuAFeH2HXC5BZSzL6mYby4yLtlbXQk2puH0Xz42TP4vlNKIm87k/eo7Gdo9ESiOZS+CYsQfYdXzazT5RBIEA/9//86eYPZvJuVIcqe4GdFoDjEaf+UNx56de7XDqoQuEw+HHCAhcH2Orw9G799Kp9fGDgM2NDjNzFTzHp77VpbbZiTvVukgQiDiux9qVFnO7KxRGMtTX2/TaAzavNOh2LPJTMRpQSUbM7x1DiCLOPWXj2h6BC5WJIv2yS16JPdv9nkV2NI0zsOnYNrbpoAxDqAI3QNVkErpMfXELWZbQNAU7DPHsEFkdWmSGxRNRyKUnLmC3DcIwTs9srzWYum6eZCaBosqMzVVYPrVGfaPF2pk1aldib1ymnGXy4DR7bpxDEAQGrT4b5zfpNgyKYzkEIFvOo6dV2lsdlKTMvpsWaG92aG916NR6lCYKFMdyWIZNt97diYGXZAlZlem3+siqjCDGxXrgB0RSXAgOOuZLSCuu7cb2JlHE7FoggGt7nHn8PLISL2IUTWZ8YYStpVoc3BRFQxuJRGe7y+qZNbLlDL4X0Npsk8gkyJWzuLZLt2Gw+6Y5giCMrR5BgKqrhGG8wwEgSgLpQgrfC8gUU/EA5pBVLoqxVSkKwh27iZqMUzYVTY4LS0HAc3z67QEC8cDl1eCgwA9ibGPHREtpO11ro9V/ybZw/JbEBf6ga9JtGFcfIQwiCmM5XMvF7Jr06gaSKiEr0s7uRK8Rp4u6dswkV3UVz/WH1xIPg0qKRCqbJFvO0GvE6FJVV2IiUd/eIbWEQTxD0671UDQZSY4Z7o7p4uk+Vt9BEKE4lUdTNCZmx3HdmJWen0nTWGuj6gqu47J8ZpXt9Tp6UicKIvIjuZ2CeveN8yw9v0J+JMvYrhE62z22rtR2BpchXpDlR3Jc98ZDhGHI8S+exjRiWpAoieTHXvhDKikS9ZUGX/qDx0jnkvFu0mSBN33wHsYXRr8Nd/ivrq2tLWzbZn5+/mWPffKTn2RlZYWf/dmffcXHffTRR/mZn/kZDh48yB/90R/teNd/6Zd+iXa7zUc/+lF+6Zd+6Zs+tu/7vPe976XZbPL444/vYCCvJm2/7nWv433vex8nT558RUX/NV3T3ya92uL8W339a+Ibd5WFDn+1Q6IA3W4Xx3G47bbbvurWoyxLL6GxXNXdtyywuNpgfatLQlfJFJIs7BnlB773Np54bhnXCxkZybK93UPTZPwgoGO4VIoaM1MFfv+PnuH46bV4CM2PUFUJ07RJJTIIQDqtcu78Fh/7+DN4fkA2k2Bru8fHP/UM6+srzM9l2b8/3mb+3390jIcePIdh2Awsl+3VNlN7KuRLae6+bYFiPskzp9eYnSrSa1usr7SQVQlPEsjnMuw9NMk73naEz/7xCcbHc7imy9Z6Bz2p4PsBk2NZGls95nZVcIOAnuGQzSXoNgZAhOX5FMeytLd78Tb8kL98ZblBr20ShiGba20mp4sk0xrdtklts8N1t85TX2qwsVTDaZkIkkgirVEsp+n3bOyBg90ZkCskWbu0Rdf0CIdx9qXxPLO7Klw4t04iE6JEKS6bmziWS73aZeG6aTw/xO7buH5Iupxm95Epzj2zjOUGbKw0WTgwzuTuUa6c2YixiT2LIIjIjOSprzSQJJliIU9yVuNC16XX7BO4Pr1mH9/xkTQF83IVRRaZ3ldBURXcbp9Bx4wJFJoS4xOjCD2p0t/uIKkymWycftqt9di6sMHk7lFGJvNx2Eu9R21pC2O7vRNY01ytMWj3mdk/jp7Smdo/SW2lzvZqg+pyDc/20DMJgiBCy6jsv3WBVCqFqqqsX9ykvtZE1RW69R5md8DIdBnP88hXcqTySbauNGhvtnBtd8gcF1ETKr4IqXwKo9lHFOMurjgkh4iSiJpWdzjrgRcw6JiEYRQHKUkig7aJ48TvgyDESNLIDQmDiNVzGySGXmxREknlkkzsHiMMQk49eo7GWgs9rcfUl55HYTxP4PmAMPRHF1k7t4ljOkzuGcdoGtjDRWK6kMTq27hWvNCUFAlJEvEBNaHimO7VnCAkZZi26Xg7rPN4QQVhFFtrrqYKRYCsyS9024fVukA8pBp77UUEQcANXDrbPfbdugvHcjF7sYdfViUaG216jT4RcWc/CqFbN9BTKlEUp54KgjBMEY296PbAQZIl9JSG7wakcymsvo3veARDBKqsSjvBVlbfRpIlVE1CS6qMLpRZv7hFNpfBNmzMlk06nySbzRGYEJpt0uUMmZuybC/X6LdNEgWNZErDC106nQ6KosQFpwgrZ9aprzUJ/IBWtU2n1uXoGw/juz6e7XHozr0oiswtb72Bo/cdwRk4KLrMx//9/6a50WZi9yiCILBxaYt+d8CuG2YZna0QhiHrF6o882fP845/8uZXZQf5RvJ9n4sXL7Jv376XxZIPBgP+zb/5N/zSL/0S6fQr7+JfTUL8p//0n75ssPSf//N/zkc/+lH+w3/4D/yzf/bPSCQS3/B4999/P+fPn+e22257GaP9rrvu4vbbb+fJJ5/kE5/4BN///d//iq/3mv56Soji/77T5/jbrM9+9rN86lOf4sknn6RWqwFxt/zOO+/k/e9//6tmn79Yr4kC/cX6q/SgN5tNGo0GpqfwuS+dw3Y89sxVuPnIDMo3CMPYvzDKD77vNh57dontZp8bDk5xz60LjJWz+H4IAszNlrBMl37fwfUDBCJuPDLBiUtVnnhuCccLQBZxLYcg8EEQaHcsZqaKJNIq//1/Ps5WtUsqraHrCmMjWa6s1Dlxsso733EnYRjx4INn+dxnj6OoEpNTeVw3oFrtovnw/e+5memJAstrzdhb6wUs7B6J/zButImiiL17RnnX26+jP3BwXB9dV5iaLdHrWAz6Np4XYmoKI7NFwoTMyvlGPEwZqi+QNgA1nyIvChRKafwwYnujw9RckUwugdGx8DyfdmuAqstAhKxK/M///EXMjkmxlGa7YwFRPLCpyvSFeKs5DELczoBBtYvvBTjtAXqyzXf/4F2ICRnHs5gfm0GRVNYubrN9aYvmhU2Wn5FQM0kmD4zTrPfREyqSIjEyVcA0bMy+zaBnkcynyIzmyRYS9DsWU7tHKI/nsToDjOFCYldunF03znPx6SUEIhzLRUnp5CcKdFYb+G5Au26QyCqkxlKYhhUHx9S7Mb9bU+k3eviOR7r0QmKjmlBwjAHV5Tqd9QYbFzcRRQG73UfRlB3e86BrYhsm6xc2mT00TafeI1VMkcomGXRM5o+OMLl7jGe/cBxn4BPYEaRAS2lUpiv02wZr52PGdLqQJkKg3xowuWecRFonU4iLPbfWpbPVHQ5AxkFBsixRHMszsXuUreX6TuEXF78iEUMLiSKRzMax9OLQ+qIkFGzTiS0VkhhH0Xtx7L2e0hl0zR2SR3OjRb/d5/o3HKY4lqfXNKitxJHykiJiblg7fnpRFDB7JpXpEmbPpLq4Hds/hjjGkdlSTFfRJfLlPLIs0dhoAQJ6UkMQh0SUYSiQ2bdJDt/rq+mgvhfsBCRcHVa9ajVBCGJSEIAQF/2uNXzNsFgWpdg+Y7QGtKqdYY4A5CqZeHciiuLwpeExroYwXf+GQ2xfqWP2LJK5BKIcLyDSuSRBEGL2LDzXJxrYseWkPSAM4/dQS6rxIjIIUTQl9qlHEYOeydKJVaIg4uIzS0QRbC7WSOdTpPKJ+H1Ja+w5Oo8oiew9uotes4/Vt5F1iVMPnyP0I1KFeMFU32igJVXKu/Pouk6qlGTzwja1lQYTu0c5cs8B9t2+e+deqQzTfQHuevctfPH3HmHlzEacVNqzKIzmGZ2NmyCiKFIcy1Nba2B2LdKFF1jo3y4tLy+TTCYZHX15h/4//sf/yMzMzKsqduv1Og8//DAA991338se37dvH1NTU6yvr/Nnf/ZnvOc97/mGx/zUpz71NY8H8KY3velagX5N1/QiXblyhfe///0899xzAC+xLi4tLbG8vMzHPvYx7rrrLj7xiU8wPj7+qs/1minQ/6o96KZp8vzzz9O1df7ssWUQqwgIPPrMIqcvbvH/+57bYq7x19G+XaPs2/Xym/zu2TLPnFrBC0Kuu26KWt2g1jDYM5tidjbPw89uUCwkadQHpHMqDd8nckNEQWRkJMMb3rCHLz1+mU7XQh76WavbXaIwIAhcFK2IIEj8wSee5uEHz9HpmqiajOsGTEzkGalk6Hdt8pkERs/mxDMrrJ2pctFdY3q+RGksB4rA4b3jvO+dN8R2lvYACbiyWGd6tsSRG2dYvFQjDEJuuWWepbUG+WyS7WGSquX6ZCtpzI5Fv2fhOh6JbIJIkzHqBkEYsrnRJZPRMQcOru3TbZs7HfbnnrnCxuVabO2YzJPK6Nhm3MG1TIfA8YmA5QtbNJYbyJpMKp8kX0hg912ef/QSc7cUURQNTdUZdAf0N1uEjruDprPbBtglNE3GNF3WV5rMzpfptQbU1ttsrjRxHB89rSEmNMwtg1ZjQK6UZmyugtlbZdA1aVS7NLe6KJkk2XKKXr3P7iNTpHIJFoGtKzWcgc/E7AiqpGF2PNJZlU7NQEkoZMYymPU+nb4dp13qcmz3UCQUBNrrNdZrPWQlHjb2bHeHIgPxwJzneFSXaqyf38Dq9BEEgbogUJ6pMHd4moE5IDeRod8wqa03cSyPjctVBp0+6VyKTFFh9y27yBYzdOs9jldb1FYazB6aIpVNkEiqCCPZmInveBTH81SmSiw+vwxRXEgWx/M0N9tYhoUfxeE88XAiw2RTg2QuNSyg4+FDQRJ2iuerQ6WyIhMGQcwxH9JnRFnE7NmcfvQcI3MV0mFIYTRPtpxh0Blw+fiVuBhWFYIgpLHegojhgGl7hz2eSOsMeiaiJpLQ4g69Q2ylyJbSGK0+nhvfXyRZYnSuPLRnxMz2KIwIg4AgCF9KORAEBCJ8xyeVSyIpcRiUZcTMeVEWY+Rj/OQdysv2lTqCJCKrEq7l0lhvIQ2DeuIFKMMiPLbFnHrk3M7iob3dJZHWdpjwghDbakRJIJnWkOS48B2ZLdOrG0zuG+f5B08DcQKqY7nxYG8QoKU0kIgDvIT4etSEgj1w2HfLbjq13gsLBkAQYfPSFulyGkVVaK116GyKlCYK5Es5StMFNE3DcRxCyUfQQhqNOoZpcOnkEs8/coo3/r3Xsefowktsg7tvmKcwmmPlzDq+F2APHJ77wsmd8CeIdyNUTUHRv/1ow8FgwOrqKrfeeuvL0GrLy8v8l//yX3j00UdfFXbt2Wefjck7ivI1vev79+9nfX2dZ5555psq0J966qmd132t4wE888wzr/h6r+mvsa550F+VlpeXuf3226nX6+i6zm233caBAwfI5/MAdDodzp07x9NPP81jjz3G7bffzuOPP87U1NSrOt9rokD/q7a4+L7P8ePHKVdG+fzTF3C9gIW5SuzvtVyePbXKnTfOcWhPvLJyXJ921ySX0Um8CDH2tXTd/gmW1pscO71Gq2MiyyJ33rLA/imRlbpJGEVMTRbptC26XRNJExA0lbmpInfduYsvfmWRzc0OkiTg+iGJpILj+mzVO6Q0nb17xvj0Z4/x8CMXEQSQJRFFkTBNl1ZrgK7LO8jA3/noIyxerqHIEqYbcPl0Fdfxect3HeGOm+YRBIFOe8Af/LdHWD9dxejbLJ7YYGS2yNhMkfveeIDBwGF5rUmxmKJUSbOx1kaWRZwwoDSZJVNKkiunWV1pUkqpMVu95yDLIrYfMr9/nJXLNXRdIVtMYjsBuXyKmhpHsde2eozMlaku1rBNl17LBFFATWk01ts4locUhBRLaXK5FLqmUq+2OJwaIaPqPPjJZ7A7A5yeiZ7RKZbTGD2b0A/YXqwxenCKVqNPY72J6Hok0iq7j05RLGXYrnbZf8MMzWqX9lYXo2fRbvQZn69gtAc0qx3aDQNBFpk/OMWga1IfFve7Dk4wsXuMTi0e0Fw5u4k1cFCTGsg6ouoyuWeCXClFJ9nB2I552/3OYJjo6KNnk9idPsXxLKXxPKEf0tnuxNYFP0CSJXzPR5JFVE2mXe+gJVW0lE6/2ae+vM3lY0voIyrzB+ewWh6O6XDpuUVsw0QQBZr9ePA2U0yRK2XJlbNkylm6DYMLTy9i923CMCJXyaIoAUffcHCHG95rlNm4VKU7DNDxHQ9ZkZncOz4sIHVMwyKR1tleruGaDnpaj1NMJTFGTWYS9BoGEHvEJUXCGjgkkhrREKsYeiFREIf2rJxeJwwCJEWmvtaIh16H4UKu48X2kzCktdne8W4rqkKukmFy7zinHjtL6IUUpuKhxjCKEASRdCGJntJAiAdEZUWm3x2gJWNyjG06iKKIntIBB9/z8YcLRUEQUPV4cRD68bVGRKgJFdt00HQFy7AAdp4vSjHuUVYkvDDm20dAIq3hu3Ho0tUdiKv/f9XLHYaxB93qO0wsjOLa8XBpMhfbXlzbI5GOdzdS+SStzTZbi9vIqoxpWDvDsIouExEhCgJBGKLqKlpCxTEdEpkEtdUGZx6/gJ7WUHSZyT1jBH7I2vkqnuux6/AM+25aoLHRpLq4zdS+iXiAdrmONq6TzWbjGZqzTcy6TXZPFoSIC88usnp5jbt+4CYqE2UymczOf/nRHKWJIgBmz2LjUpXVcxsUxvJ4jke/Y3Lnd9+8k5j77dTFixeZmJggk8m87LEPfehDfOADH+Cmm256Vce+GnRSqVS+pjXnarfumwlF6ff7O1vzY2NfHTF59XhbW1uYpvmygddruqbXiqIo4r3vfS+DwYBf+qVf4kd+5Ee+6vccwDAM/ut//a98+MMf5v3vfz9PPPHEqzrna6JAv6qYtvCdtbhEUcTp06eRZZny6BRd4yRJXdpZIKQSKq2OycZWl4O7x3js2SW+8PgFen2bZELl9bfu5k137UN8UbfJdjxOnt2g1TGZGM1xcO8Y7/0713PrdbNsNw1yaZ2FmTInT54gqcdL43w+yfx8gaWlbVxPoVhIct+9+zh+uYppuaiqHAcNDVwMwyEIAmRZ5OC+Co2uybHjK3QNC1UWCcIIx/YRJYFOZ0A2rXP46DT/7b99mWPPLJNMaYyOJBgbz1GvG0huyO1HZ0noCt2OyX/7T1/g4pkqpUqGbC5Bs9nHagx4yw/cxdEbZnjy6WViilvEwt4xwiCKFxBRHDev5xJx900AY2CjSBKJlIrZj3F4bVkiXc5QGM2wvtRAEASSA5tkWqPftfC9uAgqzZTodwYUyhmadYPRqSKRH7ByNrZ+9HsWpUqGgWHiBz46ObYXryCLApIUdy9DN4itBsQd0sAPGJvMs3ZqDatr0rnSQFEljtyxm0wxFScySiLF0Sy5QoqtK3UuPd3hgusTRFCeH8H1QvKlFGNzZTrbXbZX6gx6Fv2uhZ5USBQzZGUB1/YYGcmx+4ZZaisNuvUetfUWmXyS4liRkfk+jdUGoRMHyuiZJJlikuZaC1ESkPR4qDRdTtHbNuh3BhBGcVCOrtDebMbDkfnYG5vIJum3DJZPrXDovgMsHVtFjCKSGZ3WehNFU9DTGo7pxmSVcxtUZkcIgxA1pZEtZ2httsmP5ZncM4Y9cLh8bJlu09hJjyxPF2nX4p/ZHZJbEpkEzfUWyXySqb3jbK80GHRMJFXGdbyYjAJD+4pKMq2TK6djionpougKzWob23SHaagCoiQRSRHJYTF/dVjVtbwdXGJMLwmIrtpNZJHNxe3YHy+KtIe/Gz2rIok6K2fX40IVSGQTDDoDBh1zSKARGZ0tI8uxp7zfMQnDAFEUd5josqKRniwSBiGeF2AZFlpSQ9XjBE5Zk3coNkTRMCk1DhmCIZs9DOP3I4iQFYlIEIY+/9hmAzEBRhxSeRBiNKUgiTuhPIIYLw4GXROj2Sc3kqXXNNCCiCAIaVe7w6AmgevfcJBBx8Ro9enUeyTLOrXLTRLpBFEU7cwL2AOH6uJW7JmX4h2P1XPrO+FJqVwCPaWRGCZ3js2NkMwmqC7WEESBreUajbUm+bEckhwTZqb3TzOxEBeSE7MTrJ7bwN8U2W60WDbXyYylSFRUgiAgmUzuFOw3v/MI5x9for7SREuqXP+GQ9xw3+Fv+72/Xq/T7XY5dOjQyx576KGHePjhh7l06dKrPn6vF+ckfD1v+dUCutvtfs3n/OXjfb1jvrgg73a71wr0v036W9jh/k7qU5/6FKdPn+bBBx/k7rvv/rrPzWQy/NRP/RR33HEH9913H5/5zGd497vf/YrP+Zop0K+G9nynC/Tl5WU6nQ533nknrhehaTK9rrXzuOfHHtJsRufMpS3+8PMnCKOIbFpnYLl87sFTZNM6t98wB0C7Y/Kbv/sIy6vN2G8siRw5MME/+uBdzEwUmBnSDyD2V85PZLmyZXN5pYZjGUxMl9B1nXe98UBsgbA9ZqaKXDi/hSKL5EbTWIaFGorcfvMCBw9O8tBjFyjmUth9L+aZ+yE4cWGqqjJ7D45TbfZpbHUhAtcL2NhsIwjEbPSBQ7drcfLkOg985hiXTqzH3T0BxifyzM6V2R7aOgRBQImgs9Hlics1RicLlMayKEmV22+dZ6veY2B5aIrE9noHSRRwvYCJ+TKt7S6+GzC/Z5RW12Rqrkh724gHy1omlbEcgR/Sa5u0m4O4+KxkCUQBx/GpbXUZGcuRyur0uxbWwKVW7dBu9MgU0/zJ/c8w6FhM7apAMcmVgUMYxiE3siLFg25ZnYvPLuP1bbLFFKVKJuY3n9skmUti+zGuTlYkJudLrDx7idCNi0BREOit1NBG8vQ6sR99bDLPyFSR9cUam8sxx1yQJDIjOYyVBtmkPvTRFkikq5g9i27DwBo4GD2H8u5xHMOiMJZjes84lmHRr/dxTY+ElkLWJKysFw8ihhHuIOa0l2dLrJ3cwPNDXMdD1RS0hMJAEgiDgOWvLNNvGai6gmlYeLZHIpMYdn5VPMfDc3xOP3Ye3/XxXY8ojEhmE+y9eYFcJYs9cLhyeo3qYg1REulsdWlvd9HTOqouM7F7lMJonnwly3NfOEm31mN63wTF8fwwzdNBKaQxWsYwfj5FIq3T2uoyNlehPFl8ASUoS0RhNEQwRjtDjmbPQhtaelzLQ5TFOBU2jF64L0Rx8aslVVzbA1EYJmEGGO0BgiQyNjdCfiRHGIRkiim6DYMrp9aAFwr9zcvbpPJJMsUUrc3Ojs0ulU+S0BKEQ8wkCMiyRCqXRNEU6qtNoijuiMuKHA/Uuj6ZYjru8lsu1sAhmUlg9swXMIlhuPO4llAQMzqu6eJ7flzs+9GOj/5q8FIURGxfqRMNKTie62MPYl58t9GjU+uSzqfIlNIkcwkkWSJbzpAtZ/B8D0kR0BMa7e1OvAgKQwQxtuPEOwVQniiiaArt7Q6H7toX28z6DssnV/BcD2VIJKqvNmltttl/xx7S+RQrp9dob3VYODpLMp0gU3xhqFKURIxmn6c+d4xULrkTOHXXe27l6JsOYRgGhmHQ7XYxDAN9QWBmfoRcIUehmKbZapLJZEgkEq865e/FCsOQCxcusLCwgKq+tDPv+z4//dM/zb/9t//2VXGUr+marun/vD796U/zwz/8w9+wOH+xXve61/HDP/zD3H///dcK9G9G30kPer1eZ3FxkVtvvRVVVVFVuO36Gf74wVPUGgayLNE3HeYmi1y/f4JP/MlxbMdjZjLejk0mVDa2Ozx1YoXbb5jD9wP+5yef5PipNfL5JKViCiI4cWadrzy7zBvu2rtzbs+Lu3O6rvD+77qe+z/7MB0tw/zMBEf3j3NgV4VHj11BAMbGsrSaAxqNPpbtEkYh99y2hx/4vjv40y+ejgNfxpLUaz1M00XRFERdIZPU2HdgnLVqm/XVNglVin27soTr+bTaJqmEQiab4Nz5Kp/51LOEXpzOiACW5VKv9ZiYjBcVvh/yzOOX+fT/ehKjY2JZLp1an8pkjvf9gzu58egMv//xp1BVCd/0sGsGRnNASITbHrD7yDTf9bYjXL64TbDaJJNJUBrJsLHSRBBj+87obAlRV0hnddqtAZliCk2RaG/1QIB2q8/84UmWz2xiGjZ9w0RNaUztGaO6WCOKIrY320zNlMmVM7S3uwwMG1WLuc6OH9FfqkMUkkyqpLNxJ8o0bJy+TbKQ5tkvnqXfMOhttYn8gMJ4DsfyUDWZQddE7lsgSrTqPVK6hJ7SmT88jZ5QaDcMDtw0j+v6GHWDbqtPpzmgNJplct84V06t06h2cG2P3GiWynSZS88uYhrOjv2jMltm82KV2moD1/LwPJ90MY1ruhTGikzuHsH3fdrlLt1ql0F3gKsruJZLFIQUx7IMmgOm9o6RSCfYuLxFY72JYznxQKoAsqrguzHbPHC92Hbh+BitPs9+/nnu+O5bSGYTjMxW6Na6XD52JU4itT2MVp8oiui3TdL5FIIoMLF7lMvHV7h8bBnf83FMD0WT0JMq5ckZylMxVjMKI5798xO0tjok0jpaUsX3AlLZBNlSJvaPez7JbIIwjOi3+giiSDqfQpQkXMuJ/ciagtHqx18mAWQpLuZj4kpc9EIUL2osl62lWrwzE0Wk6klUXdkpwK+yzKMwYtAZUJ4qsvumeXrNPul8KsY5rrdIpDQEUSSKQhKZBEazjySJlKcK2AOHKIyQFRktoWJ0BkM8o0Aqn8Qbkl6iiNjOEp+RREaPi35BIAoiZFWOFyEIJAsa3VqPiDgddPgSwjBAGc4kXPVpq7rK3lsXaG/GwVqVmSLbyw30hBZzyGWRTqOHpqqML4zS3u7Srffwg4hMIYXZjRcOuUqGdCFmntt9myf/+LlhsFNEvzPAaA+YOzyNa3n0mgbZkezOQOfMwUk2L29TmSlCCBefWyKVSyJKIs2NFka7T3GiwNzhGQCam22e+dPn2X10jjCAYqrErl27hvdHj36/v1O4NxoN+v0+kiSRTqdfYpFJp9OvmO6ysrKCJElf1Wv60Y9+lCAI+Kf/9J++omP+ZWWzWSCOFP9aMk0T+OawbleP9/WOefV43+wxr+lvhq5RXF65nn76aX73d3/3Fb/ufe97Hz/wAz/wqs75mijQ/yo86IPBgBMnTnDo0KGX3Mje/voDbFfXaVs6lu1xz627ecfrD5HQVSzb2/mDeFWyJDGwXMIw4lOfP8EjT17G8wL81oBuz2JyLA/A+UtbvOGuvVxZa/LnD52NO+yBw9FDo+zfPeDuGya45ZZbCMMQz/Po9WycgYdn+fQGNgcPjbO+0eLy8ha3XrebH/7A3bGHO63H2MVcgt17x1hdadDtWeSySW64aZZqy8AyXWRZBEUEScQ0HYig2zFJ6DmUhMIf/dExats9NF2Oh8ecAEmRGAxcmvU+iiJR3ery6Y89hef6TE4XSGd0+obNoO9QTOskkyoT4zmefPwSmyc3cC0PTZdxHR+vYzFVTnPDTbOsrjQJgrjgmNs7gmN7bG106Pcs/IRKfixLKq3Rbps0mn0K+STpfIJuc4Dn+DTrfdAUCsUEvY6JLMp4XkChksVoDfDcAMOwmNg7hu36pNIajuWRHskxuTDC4rErWIZFt22SLabQNIUojEhndVzTprPeJAJCL7Zn2H0bQZJ2MIdiFCFJsH58mfXnFhFFgbG5Mpm9k8wdnCSR0dHDiMJIhs3lBvX1FmunV+g2DJL5FKKuMjZb4eDN87i2x+bFKv2uidE2SeeTKKkE2dECohDhBxELR2YYna/w7J8cp9fsU5kskszo7Ll+npOds0RBiN2ziELQ0irtzS6O6aDnNRzfiS0eckzYGXTNmBoSxtQQz3GRVZlULoljufQ7A+y+xfqFDUoTJWRVpjCWJ+P5NDda+K6PrCg4lotjuZz9yiWiKMIeuIxMF+k1B4RhRGkyT3myxNKJlXj4dehhFySB/EiWQcdk6cQKQRh3iJOZBP3ugIUbZmlVu8PAnpj04jkesirjew6B55PMJEgOu7C+F6CndMIwjK0wQoSixcV3EARICHHATqtPIpNAkkSMVh9/WJQLovDC1vFw6LK6uB3booaYxWQmQaaUolPrxqmyAiAIlCYKiJJINpuJuf8CKAkFQRSHZKMISb56L4twbZf8SFxkOcMB6MJoHqPdR5JFRClGIHZrXTw3wDGdOCvgRb8vRZPjQCw3iAPG5HjRbQ8cLj+zhGU6+K7P9modURRpbLRi77YUIYki6Xya6f2TTO+fxHd9tpa3KU4WuPTMEq4df96vLsJMI6bZTO+bAAG2VxqYXRNREpnYPUJ5qkCz2tm5F4qiiKopEMG933snnVqP9QubcQaCH5Apppna90LKZWEsz4WnLnH/Rz5DJAgoqsTC0Tnuft/tJNI6hUKBQuGFHccwDBkMBjtFe7Va5eLFiwRBQCqVeknRnslkXoY1vCrbtlleXuaGG254WTe+0Wjwi7/4i9x///0v66y/Ul0dDK3X64Rh+FUXEdVq9SXP/XpKp9OMjIxQq9XY2tr6qs+5eryxsbFr9pZrek2rVqt91VyDb6S5ubmdWY9XqtdEgf5iSVIch/21bnCvRr7vc+zYMaampl4Wi6ypCod3ZXjzm98MCC/xlu9fGOXE+U0s2yOhK7iuj2W7HN47xuWVOs+eXCWhKwhEJBIKlu1RaxroikwyoVJrGPzm/3yEZmtAsZCk07X58y8v0u6U+KG//9Y4/dPzePiRS3zhi+cw+jaO57O91mFkLo9lGtx24wz/8D2vQx8SDY4cnOTU+Sprm22ymQSjU3kqYY73v+tGTl3YROyKjI3nMXo2uqYQ5BNoooBlOIyOZsmV06yst0iqCqoqoesKlh8iR+A5V7t+EVpG5/jxFcy+DaLAxnqbickC2VwCo2tTXW9TGc1y+fg6V46tY3UGSKpMIq0xWk5DEHH++Cq+F7BnzyjPPn6Jk5sdcoUU5YksyazO4SNTXFlpUh5JY5seWystFEWm33eY2zfO6uVtTMNG0WRShQS5EQkhErBNj9pWj+mZItlSmuZWl26zT681QNJVUiM5ekt1IjfAMV1GZ0qsntvEs136XYuW1WPQszh3Yo12tUOxkmV0usjK6YjmRjyUqqVEXNePw2JUmUG1hUREfjSHllDotwZcfuYyu27ZTXEkiyAK7Llxjnaty8bzi/hOjAQMBxairiLJMp1Gn0Ilw+TeMS4+t0x1uY7r+PieT24kx6A7oDQ7wtT+CURRpDxdYvNSlW7TwHN9tq7U0dJJsqUU3XqX8myBmYUpNi5VWTmzBp5AqpTCER2SeR1n4OG7PlEYoSVVRFnC6lk73VhFU1B1Fd/xaGy0Y/uJ6WAPOeGu7aGnNCRZimkrUYRjOpx/6jKiLDGsW5k7PMPUvnEUTaG50aK91aU7adBv9YcLhJDyZJF+d0C6kCZbTOP7AZePXcEeOIzMlulsd7D6NplCisAPsQxzZ4EkiHGRPb5rlPZWB9eObTGxTSbENmOPugBIw/TWq/5vQYrDgVwnDj+LE0Zj/GAUCgiigNW3UfUXsIRGq48oC4zOjRAGwXDQMx62bG20d1JzAboNAy2pouoKVt+BKMIAMsV0zDAfUosSaY1MMY3r+GhJjfZWJ6bddEWCIIp964JIbiS2Grl2/PkpjReorTYQJQGI01E9148H2g0rTjf1fDzHR0uolMbz9Fp9BBH23LDAoPNC51VWZURJZO3sBooeIxnXL2wiKRKFkRzpfJLRucoOzWV0pszahU0kWWLl7AZGq49lWOgJldH5ESzDwuyZ3Pxd1zG5Z4x/8OHv4fLxZRzTRUuqfOljj+GYzs5irVvv0txsk8ommDk4iWt7nHjoLFpC5d7vfSnjO/5diTvF91VFUYRt2ztFe7vdZnV1Fdu20XX9ZUW7rutcvnyZSqXykuL/qv7dv/t3vO51r+O7vuu7vum/J19LN9100xBn67G4uMiePXte9pzz588DcMstt3xTx7z11lt54IEHdl73rR7vmv6G6BrF5RVLURRc133Fr/M872su7r+RXpMFOsRF9bfa0YD4hn7y5El0XWfv3r0ve/zqggB4SXEOcPvROS4sbXPqQpUgDBEFgQMLo7z+tj0cO7OO5/lMTORZWqph2x6SKGAYDpkRjfnZMr/62w9x/vI2eiIO98gkFZy2w1YzHopzXZcnnlriE59+FkEQGB3JEAYRtYaBaJj8nbtmecvrb0d+EZN9dqrIe95+PY8/vUS9aTA9WeCOm3dxeP84z55cRZZFiqU09ZpBpz3AdnykhMr8/jFSeZ1Ll2o4bkAQRsPhUg9RkdAzOngBmWwCSVfYXG9RKKSGNI94ULHV7JNIqAgCWLbHf/2Vv2B7s0smreEaVoxz9kJy2QS26WJbHr2OyeOfP01tqYE1cFmLIrLFFN/3f93D7K4KV1abaJqCrqvoqkT18nZMr6gbTOwe4QM/fA/Hnl5mbWWDiYlR5NBg5VJsXzBtj9H5MrYboCdVLNNhcr7MyFie9lYP3w+ob/fYtW8Mq2+ztdKg2+wT+CHZSoZUWqfm+LQaBnpaozxTpls3cG2PKAgZdE0ioNPs4w9sssX0TjGuJzW2VxsM2gOWz2xg1GMLgVXrIBCRzCfRExqe6zHomvRrHdqNPIVKhkw5w/SBSUQiOo0+uw5NUZos8NSfPE+vNaDbHMSF/L5xmpttOnWD7ZUGkiwxtmuU7dU6kSAwMjmCIImUp0psXKrS2e7hOz5Gu0/oh+RGcjimw8SeUWRNolntDIs/l35vQBhEEMVM+sJYluZ6Ky6Waz16zT5hEOB7PqIsoqgKQRB3crWkhjNw4oHQIOTis4s0Nlrc+OYjjMyW4+7uc0sxfUUSCIOI+noTWZYIw4iR6RKpfJLVcxtsrzRobbZxhx75dD5FrqyTrczEMwm5FPWNFqtn1nBNl2wpw6Bn4rs+WkrDMZ3Ydz4M6EEU8GyPVC6Fog157ZIYD3AOQ3SuShAFFDlGXvruC7t2URRhGTbaLoXtlR6+61GcKODbHkZ7EIeHisIQexhhDxxm9k+QKqTp1XvIw2FZuSOjaHJse8klEWURozVAkkUyxRSWYeN7IalcPMDpDwecE2l9Z1FhDeJ8ANf2d84rySJEcRrt1aFOPaXguQG5kRxu4GG2bWorDXqNHu3tDoXRHJlimla1iyAJHH7dPsyeRbPapl3tcODOfaydW8doGgjlTLxwG6adnnnsPCOzZRKZBK2tDueeuozVt9HTCQ69bh/X3RvHzKcLKY6+8fDOe7h+scqJL53B7tsgCGxcrKIlFBZunEMUX/idXHpumdvfeRNaUvuG93NBEEgkEiQSiZf4xT3P2ynaDcOgVqsxGAwQRZEgCJiYmGBzcxNBECgUCui6zokTJ/jYxz7GyZMnv+F5vxmNjIxw77338tBDD/Hggw++rEC/cOEC6+vrZDKZb3pB8D3f8z088MADPPjgg3zkIx952eNf/OIXd553Tdf0Wtbk5CRnzpxh9+7d3/jJL9KZM2euYRa/nl687Xi1QP922VwWFxcxDIM77rjjq3bkX3y+v/x4Qlf4R++/g/NLNbYbBsV8kkO7x1BVmcwQ11Yup/C8IltbPWzHQ9Nk3v2Oo5y4uMl6Ne6SKYpEp2dhGAH5tIbjhJimzWNPLfKHn32eZnuAosjYrs/keB5dE2nWBtx92w34fsiXH73ImbObqKrMjTfMcPONc+zdNYLj+qiKvLOwmBzJsrhUJ59NcOT6KdZWW9QbPW67aRdOENAd2FSKaepBj1RajznVbohlOqiKzMR0kUgWGfSsHeQkqkhgenHgieFQ3WgjazKPfPk865cbKJpMQpGQ5RifF3PMXYyuRXksy2//2hc5d2yVyliWmfkytuXRqhvUV1vcdNsuMtkEzXofuz2guVgnsFyIwGr2sTIa+w6O86W/eA5F1UinM6jzOv2ORXW9TasWR6WnK2nKIzmWz1dpNgfxdvlIhtpqC6vv0Kob9C2fzGgBSZWw+zZju0ZIJlQ2F2t4rk+32Wdm9yjFqRLtrQ6SJKKmdEbnR9ATCsvPX8EybHqdAbliOk6FVCT2Hp7gKw88T7dhxIOpjR6CAFfX44qqxGmRns/2Up2NE8tYXZNsMU1husT+2xYojeYBGJsrs3hildZ2l37XZOPCJqIqo6U0MuUc+27dhZZUMYwe3Q0XozVA1RRsyyWVTyMIYAxDjiYPT+A6Xuw7dgKyxQz6vE5ghzTWm7gDdziQGKdjLp9aQdUVHN9BTSuophIX4bZHFMZ2g6vYxzCIByST2UTM5xYF2lsd1i5sQgST+8bpbHcpTRSprzfZWtomCiJCIaS91eX5L51h9027KIzlGLRN+h0TWZHIFNJxEdseMHt4mqtRnflKlkY2QW21HlNShp2fXCWDmlDIKinESEJWZey+jWd7BL6PMpzBEAA9qeIOOeWSIsVFuR8z3wVBQE2qhMMFhWvFQ7qXjl2JO+6iwPqFKldbThFDLOKLOlC91oD1i1vx8UQBLamip3Ua6y0EUaBV7SBrMnpKpzCa2+mM26aDPXAojRdYu7iJrEpoCZXAD/EdC0LIlbM4trsz/Dy+MMr2ch1JEUlkEliGvcNvv/TcIlEEoR+x3tsckowijKaBltQoTuTREhqKppCrKOQqWRrFDNtXaliGHVtkkirZUoZwSKAZmx8lPxpbdVK5JNXFLeaOzMSEnmyC2mqTqX3jL7mPC4LAm/7+PeTKGc49eYkojDh45162lmsvuc9ezSwI/PCV39xfJEVRKBaLFIvFnX8LgoAnn3ySdDqNJElsbGzw27/929x///3Mzs6iqip33nknm5ubVCqVHVbyt6Kf+7mf46GHHuLXf/3X+Uf/6B8hyy/8Cf/lX/5lAH7qp37qJXaUY8eO8cEPfpBDhw5x//33v+Q1H/jAB/jIRz7CU089xRNPPPGSNNEnnniCJ598kn379vGBD3zgW772a/rro2se9Feue++9l9/6rd/iu7/7u1/R637rt36Le++991Wd8zVRoL9Y306Sy/b29g64/mt1419coH+1bQ5Zlji8d5zDe1+aNnVgYZSZ8QLLG01yWZ0pTWZgurz13gPsnh/hoWcuMz6aw+w7iAiIQojjhRimz6EDOb5ybJlPPXAC03QQBYGELuO4AZtbbVQ5JJfNIggiv/O7j3HmbBVVkQjCiPMXtmi1BnzXWw6jD60KnY7Jpz/xDGdOr9Num2wtNRmdLZLJJ3jLmw/zult38QefeZZ8NoEiCDQbfWzTRVQlsoUko3Ket7z5IOcubuE4PgldodXok0woDKKIfC5Jq2YgSyKpQoKBHW8JqaqELItYnk8iow87ggGtmoEoi/Qtn62T65imQ22rhyiKZAtJbMvl7PE13vMDd5FSJL78hTO019pEQUgqn6BUzpDQFRrbPT7/h08wNpVk7bLD6uVtVFWiNJknmUswPVdmfbXFnoPj9Nom1dUGAtCsGywcnMBzfXrNPkbHRNYU9t00Q22lxdbAZWutzfy+MUami6xf3sZoDVg6u4HZd8hNlbH7DpLrkcolyRZTbKZ0zK7JoGORSGlUl+sEQcSxL53D7lvsvWEGSRQ50zawTQfPjukXghh3E1P5BEHPwB3Y5EopBGDl+Ss4pkfprUcBmD00RX2jTa/eo7myTeT5SIpIfxsyo0WiCFqtJmMLo5iNuEPaWG8x6Fkx3zqlkh3Nc/iuvciyjNHuU71UpbHRIpVL0q7FXu/iRAHf8RAlidJEntJkkVNfPodr+aiKSiRHBMUAe2AT+CGe6+34swVJoN8ekMgmkIcJkaIo4toejbUmqXySzUtbcYpmu8+gEw9yRhFxUNGw43zxmUUyxRSiJDK9f4JcJcPITJnqUo1Lzy5SX2sCsXfbHtjkyhkUXSHw4kVCtpKhs9Vh0LeZPjCB249xjKlcCjWh0e8M6NS6w4AhyJYzKKochz4Nu+iiHNtgfC/AGdg7321hyFyPotjfjiAQhR6uE1tLZCW+ZwiCEHPRgzAOJBLigjMKQozWABCY2D1Gt94jCEISaT0e4AROPHyWQc+M0aBhRK/Zhyik04/tOqIooGgKQRAvSPSExsh0KSbyuD7JXIL2VuyRFyUxxixGEVEU01lcOyb9BEHAxO5RUoUUrY0W0/smqa3Ud6hZAI2NFlbfYu7QNImMTm2tSWurw9yhKRLpBMmsvvPeKJqM2bN55s+Oo6gKEZDKJrjvg3dz2ztufMk9Uk9p3P2+27nz3bcCUF9t8Ef/6U9obrTiz6Dr06q2OXz3fpLZbxx7/0pVrVaJoojDhw/v3OdvuukmfuzHfoyPfexjfOYzn0HTND74wQ+yvr7O3NwcR48e5Rd+4Rc4fPjVYR7vvfdePvKRj/CzP/uzvPvd7+bDH/4w6XSa3/md3+GjH/0ob3vb2/hX/+pfveQ1v/M7v8O5c+c4d+4cP/MzP/MSDruiKPzhH/4h9957L+9973v5jd/4DW688UaOHTvGj/7oj1IsFvn0pz/9kqL+mq7ptah//I//MTfffDP/6T/9J37yJ3/ym3rNr/7qr/Knf/qnrzro6zX1rft2ohb7/T6nTp3iyJEjXxNWDy8MqF5crtHquRSyCQ7sHkNVpK/5GoiJLj/wnlv5wuMXOL+0Tbqg87bXz3LvrQtcWmkQBBHjI1k67QG1WpcgDAkjgWReplBK8rkvnqXTs1AkET+M6A9cdD32X2fTOvv2jvE//uArPPbYpZjaUkgyOpKl17N49PHL3HXHbjIZnX7f5r/86l+wdLlOqZRiZCRDo9HH69i87/vvYGFXhSCISCVVjIHDyGgWzwtYWW5gOR7lcoa3/50j7N0zwskzG6iqTC6bYHuzQ7dt4roBuiJTmSmSKSbY2uhi2x70TARJHEaiQ7KYQk9pWH2HdCFBp2OR1WTSuSSOGQ/VNuoGmVwC3wuQVYnP3f8Uzz50noSm0AVCIHB8VEWKO39BwPLFdd7+ffdw8otfpFHtEoVxofPOf3gnE/MVWu24+5ovpyiU02xc2qa74WE3DNKlNO99771cOrMJokBpJItretQ3Ozi2R79nU5oqUt82EIUYsTkyFw9znnr8Iu1tl9pmh2whyeyhKS48vcjAsDDPW4RhxMSeMVrVNvbAoVM3KI/nKU0X2bxYJfACrL6NY9rxbkSzj285zOwfRx2GXbmOT215i83lGtKwS5srJqluNyEMYmKKJNJv9+luNli9uE5uIsXY1Ch2xyNwPFrVNjMHJpk9PM3i81fYvlLHaJkURrIk0jqZShazY3LpuaUYw6mrcVCQYbP/1rmdwmhktsz6hU262z08J8A0LAQEKjNlrJ5JupTC7juYfQvf9rANi9APkFQpJsUAhdEc26sNVF3BtX1Mw8K1XbSEOuy8x0hIBEjlEhitPq7t0an1kGSRmQNTTOwZJZVPsX6hiu/5O8jBq/QXVVNIF1KMzVWwBhb9rklrrbPThQ2DkOJ4Pi6G0xphEJLOp9hc3I5pJ9NlBj1zZwhTFIU4zMiPrq5BEIQYxainNQIvTkBNZBIxU11gWAxfvYGwM5AriBB5L9xX7IHN5J4xFE3GtT0CL05PXTy5gmO68c6XKAIRzsBhev8EyWwC23SwDJvKTJHNS9tDJrlOrpKlW+vS3uqg6MrOAGkUhjvFvCjHnnuBeMbAHoQ0NlpsX6ljGjHyM5FJEIZrZMsZzJ6F73hkixnG5kcYmx/BMV2qyzUKo1mWT65x9omLlKeLlCeK9Dsmg65JYSzHzIFJIC7wv/zJr7Dnll2EfogsS+RGsjsLgKs897H5EW5/1808/afHWT27gSiLzByc4vZ3vrpgoK8nz/O4fPkyBw8e3CnOIfa1z83N8elPf5qPfOQj/IN/8A/in6HR4MSJEzz//PMvoae8Gn3oQx/ihhtu4Jd/+Zd54xvfiOd57N27l1/7tV/jR3/0R19yPRDbUz7xiU9w8ODBr8poP3z4MCdPnuTDH/4wP/7jP06tVmNkZIR3vvOd/NzP/RyTk5Pf0vVe019DXfOgv2LdeOON/NAP/RD/4l/8Cx566CF+8id/knvuuedl37cgCHjkkUf41V/9VR544AF+8Ad/kBtvvPFrHPXr6zVToF8d3IJvHbXoeR7Hjh1jZmbmayawXZXvBzx+qsX2o08QBDHHfGGmxD/+3jsp5L7+VHyllObvvesmfP9qwEn8B2lmvEApn6TW6jM9lSXCxnYkUkmFu28ssVhtk0go6KpMMqUiRGB2bQYDB0kU2b9vHDPwOX9uayfau97s4wchYyNZOh2TVnvA2nqLP/j401w4sY4gCYRNmBjPMTlZoNXoY/ZsJFFkfbWB13VZvrRFLdelMp5jZCrPDaN5vve7bySd0oiiiInxPOcvbjEzXeTQ0WmuLNZpNgwOHp6iP3DIl9I4pkcniosbNaMRmB4Dw2YgOKTSGoWZFLIk0OnadDsm6pA8EfgBdhRRr3YxDAs5ofK//+ApfNdnbLJAKqtj9R2CIMLo2WTzAo7tIqLze//xQayexcxChTCKMNoDnn3wHN/3Y5PIkohluiSSKnIYYtW6REFIe2Dh9Uw0UUBWZYIhtm50ukBrq0t1tUlto4Xr+KhpnbH5Eqtnt/AFgb5hU5ks0G0Y2H2bXsukXTdQs6k4gKlnsXBwitHZYvxz9Wu06waFSpbCZIlmtUPo+QRu3MWc3D+J3bfZXh7QrHYZn48xddliErEr4BgmF5+8ROjHHPv2ZgtZU5CGw3XJXJJ+s8/mxSpCNMHac5uoioisq+y9dTfT++PB57H5EbaX6zQ22ziWS329hW35ZEZy+LbLxK4RSlMlrJ7F8w+eorHeYvrAJGbPQhRFUvkU/dYAz/VRdIXyRJHGZgtFUxifHY13R6odtqx4BsC1Y2yj2bWQFJGlUyukiilSpRRBzSDyYiuIY8fR7dHwcyOIIlEYIwivFsmCAKtn1wn8gJGZMv3sAC0R4xUlWeLEw2eHOQMSra0Om4tbpEeSFEbztLc6O5xwWZXpdwaUJ0tUpks731Wj1SdwfVbPrQOxPUUQoDCaJ/BDJEVEFEQiAZxBnCgqEFtVoghUVcYeiHiOh6rFYTvxzxANBzilHeQjxCFNoR/y3BdODv3tEaEfoiU1vKGfPArj4VBRjlN/u43Yv95Yb8UppsP/6mtNFE2mVW3H75ckMrVnHO36OXqtPlbfxvdcHMelXzdJpHUcy43pL17sI9fTOlpCixcAA4dUfgwtoTK1Zxyrb1Nbbey8V1pSJQpCFo+voKc0wjBi7dwm1cUahdF4mHRi9+hOAV4aL7D4/BX+17/5JO6wo7/r+lnu++DdZEsvsNEBbnzTEeaPTFNbaaAlVSb3jO8MLX87tbi4SDabpVKpvOyxX/mVX2FycpIPfvCDO/9WLpe57777uO+++74t53/rW9/KW9/61m/quffeey/1ev3rPmdycpL//t//+7fj0q7pmv7W6td//ddZX1/ngQce4E/+5E9QVZWFhYUd+1qn02FxcRHXdYmiiDe/+c38xm/8xqs+32uiQP/L6KtvpYMeRREnTpwglUp91Sn6v6xnTq1yeW3ASDlPPpvC9QLOL9X488fO831vf2FV5fkBArxkYPOq/vK/pZIq73jjYT79Z8dYWtsmk8kwO5fj9bdMs752hbWNLfJpDUmO6PVM9ISC7UtoosDrbtvLfffu4/c+9QwT4zmMjoUoCmiqjNF30JQBiYTKerXNJz75LL2rj2syjuNR3eoxN1MkjCJs2+PZp5f49CefYWA42K5Pt94ncnze+s6j3HBkinQqHsy6dK7K+rltVk5tsHa2SnEiHmi89w37mZku8r//+HnyuQQjYznazX68nS4KjEwXsE2Xm26ZZ229hZ5U8G2fxmYXXVdwXJ+RmSK1tRae6zMwXQRFplBJ06kZhJJEo26QK6VxTBfX8el3TLrNHqEgsLbcobkWR7pnHJ98KUUioVKvdrA6FrPzZR77s1N0tjsY1TaKKjM+X4kZ5XWDz//BV7jne27lxDNX0DQFopDSZAE9rZMvpahVuxy8cRZr4NBYa+PZHo3tHrO7K3SbferrLbbXmzi2z9S+MbSkxuKJVZoNg/xIhtG5Mq3NdjyEutqgUzcQVJXcWAmj0WV6/ziViSKtzRaN1QaDnoXreLi2R321SaaUpna5SiqtMjY7gmM7tDabeE7so5bkF3CFY7NF2is1nIFDlNZorDWor9TJVzJkShlGZsvkx/KYXZPGWhPfcQk8n0Grh6IqpG5eIJlJoCU1krkkza02ju0y6Fr4bjxYKWZE9h6YIFNMx4OCTwY011uYfRvf9gj9AC2pUCrkaVW7iJJArpIlXUhx5fQaoRei6DKpUgKzZ+PaIlHI0Msed6BlWcJo99FT2o7HOwziaPs4aMqhvtZEkiVGZ8u0tzo73Z4oCgmHQ5xhEDK5e4zdN8wRBhHpQopsKc3xB0/TqXfjzrXlIkoiru3GybFDS4sgCKiJ2C6SLWViCsvARlEVEikNorgzHAzTPWNmeBYikBQRQVAAgTAM8OwYxRgME3HFIXJRGA6s6imNMIhwQw/bdNBTGrbp7HixBQFCHwYdk357gCDGBbtjdkhmE6Ty8S6UaViMzcdJsFpKQxRF8pWYiHTp+CKJVALXcqmtNhHixnx8bxXFHT57ebJIc7ONa7kcfeMhLh9bxrU9+q0+3YZBtpTG7Fo0NlokMjrXv+EQRntAY61Jfa3Jodftp7pYxbVeCDCyDDue2xh2xAM/5MRDZwiDgPf85Ntfdn8vjOYpDOcuvhMyDIONjQ1uv/32l517dXWVX/u1X+Ohhx76tlHCrumavt265kF/ddI0jQceeICf//mf51d+5VewLIuzZ8++7HmJRIKf/Mmf5MMf/vDLOuyvRK+JAh1e2kH/Vljoly5dwjRN7rjjjm8qge78Uo0wglRCQRDiQjiVUHn+7Drf9/Yb6RoWf/HoeZ4/t4EgCNxwaIrvuvsAqeRLPe2W7bG60UJXZaYni+ydK3HrPp2bDx5ifHyc2Yk8qYTC7vkJLlSfIIoCdusJrqy06RkOghCxb0+Om6/LcGVlHdu2GZsuUSymaDT6MV7NC7GTKlPTRf7ogRNUt7pxSFAYEloeiaSC47jU6ga6rrC00uALf3oa1/UZH88xMVVgMHCwBx5TlSyZlE4URTzzlSX+4LcexbE9smkdw7AwNnu8423Xcdc9e6ludeMhVttjfLKAbXmsXqnjeQGprM7b3nU9C3tG+b3feYyEriJndDKFJN3mAD8IcRMqej5FPq3i2D7WwKHeHJDMaHQbfSJRJJJEpveNsXppm1AEPxQojuUZm8jT3e4RRRGN7R7prB7j8MKI+naXi88uYbb6RK5PFIREYRQXYEmVbCFFp2EwMZln8ZTC0w8cjxFwCYU73nodE3vGiERh2KmVyVcyVFeaNDZbBAOLKIJ73nMTtbU2kiYzNl2KkzUTKtbAodcxyeQS6IU0UTemr6gJjX23zuPaPhdafRrVLrlihvxonkwpQ7feY+PS1gspmZJEdSkushHjtMV0PonR6mP3HRAcXMuNyTlNE9d2mdw7jigK6EmdrSs1zj5+nsOvP0x9rUlpsoAArJ1exembyJoMw/TJk186zd3vux1RFilPV7D7Jq3NNmpSZebgJJIis3hsGYjTR6MwpDJdolvrsXJqbRj8c9WHbDEyU9qxOURRRHVxG7Nrk0wlMNs2juXudG0HPZPAC4iI6SN2z8U2HZLZBImUPvSBx+mbV06txQmWmsLKmXVc20OUBARBJAhCBIT4OJLE5uXtnW64qqvsuWmebDFDa6vN4vPxkGcQhOjJGHM4d3h6J600X8ly6bllTMMi8GNCDRH4XoxCHJ2t4Hs+gR+HeQVhiJ7WSReSO1hDq2/TtrsIIgRevC/t+yGSEg97hkG8IBAlkURawzQs1ISKZVj4VwcjY2x6/LkVBYQo3OG1e7bH9a8/GId0tfuIssigY3LxmUUSmQTZUppep4dvB+gVnQN37aN2pUa/Y6JqCsWxPLW1JsWxHNlSZsdfv3JmjeZwd8R3fRzTQZBE2ludeJB1LE9hJBenKhdjNKae1iiO50hmdU4/ch634oIgUL28jShJLNwwv9MNFwSBS88t8eDHHqNXN8iU0hy4fQ9Tf2mW59utKIq4cOEC09PTpFKplz3+oQ99iPe///3ceuut39Hr+OuuIAiQJInt7W1OnTrFfffd921JbL2ma/o/LUmS+IVf+AV+7Md+jM997nM88cQTbG9vAzA6Osodd9zBu971rm9LavBrpkB/sV5tB71arbK6usrtt9/+TXMt1aFf8+riACAIInRVIQhDfv+zz3Lq4ibZlE4EfOGxC7Q7A37o/S8sAI6fWuMPHzhOsz1AkkR2zZY5uj/B2EiBG264Ad/38X0/ZlsX0tx0cJrHji+jSBoTM0WErSa3XT/Pe99yGMMw8Pw6YeByaXGdVFYGUaPZdMgXdN78pv2cXayRSijoukIqpUEQYfdsbDMOHonCCCWl8OgTi1i2iySJVLd7eH7I+FiWXtdiY71NLp/kM59+licfukCvZZLO6hRKKYrlFFsbHZbOVbnnDfuplNOkFInTx1YplFKkC0km58rs2zPK299+Hem0juv65HJJWq0B4xM5Dh6d5vK5Kq16n3wxhROE7N4/xuLZTQgjLNMlldTQ0x5G26QXmViqTKKcRkkIGA0H2/HpdOOhTLNn40U+g75Np9HH90M+/4fP0VxvMzZdpFROs9SJEXjdZp90NhFjAMOIM08vs/z8CpoikZuILQ0nH72AnlQJvADfD5BliT1Hp6me36Bd69IhQk+obOc1tGIONRF/nvKVLOWpAusXt9lebbJqxwOUU4dm2F5pkM4nSeXTJIMAPa1h9x36XRPfDXAjSJayhJ5PLp9m943zCECv3o2TWg2bREanNFnCNOx4gNH1EUSBsfkR2tXYa+27PqqukC6mSLWTWD2L5eevsL1YRRRFrL6NPbDRUzpqQo0RiX6IaZhcOraEoisIQoSe0pncN8num+ZQNRWzZ7JyapXtK3HQSnuri9E0SBVSREHsc86WM4zNVzjxpTN0G0bM8nd9XMslnUti9R22V+pEw++xrEj02wOm90+gJbWd3QZn4BEFEZbhMOhYhGGIrEqsXdxAz2mIA5HQD1A0OZ5hAGRVQh4W3LIkoyYUuvWYnqMmVGzT4czjFxjbNUpxoohAhGO5ZIppTMNma2mb6lJt57ueyibIljPYA4f2dg9RFAiHMw5aQmVy7/gQMxrfH66cXsP2HWorjdgCM+z+y0qMak1lk7iOhwA7Xn/P8ePrVmQEAQa9mB0uyhKhHw/NEkEirWObzhDfKMTkn2EexLmvXBraWGJbjZZSEYi98/XVBkpSJjvcQUlmEpTG80RRbEtJFZK4l6psLdfpNgwyxfRwgBXG5kZ2fr6t5W30lMab/+G9DDom1aUaq+fWCcMofl+CEMd0GZsb4ci9B8iWXqCz7LttN5uXt+JE4hdp/UIVy3DIVTK4tseFpy/zth++j13Xzb7ie/s3q6t4xaNHj77ssS9/+ct88Ytf5OLFi9+x8/9N0dWu4d/9u3+X7/me7+FNb3rTtzV75Jq+RV3zoH/LqlQq/NAP/RA/9EM/9B07x2umQP/LqMVX6kE3DIPTp09z/fXXk06nv/ELhrrx4BRfeOQU9daAclHCsj08P+COG+a4stbi0pU6Y+UMieFgn67KnL28zcZ2l6mxPOcXt/mN//FlTMulUs6gKzLPn1qh2dD5uZ9+X4ynC+It9auT9m+6cy/FQopT5zdYW1/nHa8/wNvvuwlVkSmVSszNzREKeR589AJG30JUA6ZnNW48XKTdXmdzs8NYJYUsE1tkUiqIAoogkklrZCsplpebqKpIFIEkioiSSLdrks8lEASBnmHz67/2RTbX2/HQpixi2x7VzQ6zc2UUVaZW7TEwbH73v36Zi2c36Q9cGqstyuM53vPB27nl5jnU4R94WZYYL6c4+9QSV05vkCmmKIxlefM7ryeZVHnk4Quk0hql0SzNWh9ZEfGCgJm9o2yttVnYO0q91iMQXfLZNIvmNpIk0uvZjM1XWL+0hdmz2V5vD9FvFRhi4Bq1HuNTBRIZnX7bxLEi2vVe7BtPqDz8v49jdU1GposUKhkEAWobbdYvbjF3wxwXnl/FaPQxGl3MepdiJU2+nMF1fJZOrjK5fwI5kyaZifnUI7NlBFFCkQW6bZN9N8ygJzX6rT7WwKFdNxifLTG9f4LF41fYutLAsT0SaY2pfeMsnVhDSmjIqoyqK+QrOeprDdq1HrW1JkbbRM+mIAyRkyG7rpsmV8wRBSG1lQZGu09+JEe/M8C1XcbmKxj1DqlckvxIjo1LWwy6g9gvnYg/t1oiXoyomkJr6FG3TYfQD3FMm+vfcJhkNklxskiv3mPp+VUEMR6q67f7+K7PwtH5uNMuiYzOj7B6dp3lk6s4lodjOiBAupgkW06TKaTJFNPImsxzf36STq3HyEwZNaESRRG5KEMYhPQ7ZszETqgouozVs0kVkkiqiNWz8d14oDgMI1zrhRAKURIxDQtZlV8Y0hSIg6WGnHBBENASKrlKFt/1cS1vaFeJ/zb1Wn3CMGRy9zjJfBK7H9tPuvUeRrtPr9Uf0mviRE+GnnRvyH+PAtASCol0EkESIYzQ0/qwCO4jqzLt7e3Ypy7EJ5ZVmcAP0FPajgc9COLFieLLsTVGEOK/zxGEQUS/PUDRFcQgJIhCfMdn7sgMqq5Q32qQKaSRRZnWZgcn55LKJZAUiX67j2M5FMfydOo9eg0Ds2cxsXsUe+DsFOcAqXyKreU6D/zmF7H7FmEQ4jk+nuORKWZwLZfxhVEO3LGXdD7F2/+vN/Gmv383UQRW3+J3/80nqa81qcyUiMKIlbPr+F7AwvUzO5/BtfMbPPv5E8wfmfmOdGuDIODixYvs2bPnZVQT3/f5qZ/6Kf71v/7X33Au6W+7fN9HlmX+4i/+gqeeeorv/d7vBbhWnF/TNb1CvWYK9BfrlVpcXNfl2LFjzM/Pv+Jti/0Lo9xz4wQnF3t0DQtNlXnL6/bxxjv3cvbSFo7nx97loXRdod0zMQYOl67U+fXffYStWg9FldjY6pBNaShySG8g0u3ZJBMyTx9f4dS5KmEYcXj/BHfcMs8th6eRvQY37dnD9ddfjyAIWJZLEESk0xr33LGbuZkSy6tNJFFg78IIo5Us5y9VWdp4Gi2hMDUDq1fa9LoDEATGprMoSRXLcZAlgWRCw1IcLMtF0xT8IGSr2iGV0XnsiUtcuVxHGg7shUGEnlBwnYC+4eA4Hoou8//+wh+zdGGbkdEsu/eOYlsu7daAYODuFOe+H/CZ3/sKj/z5aRzbw3MD2gOXQwfGeeObDnLi+CoQ4+TGpgr0uzZry404Qh2Bt/zdGzh0dIr//qufJ5tPMjZeobHRp1nrEYYRtusjJjRSuoqsSFimi6DKJBQxRt6FEd22ydzhaS48u4zveLQbfWRNYe/Nu6gubmH1TNqNPqmMTjKtoagxLm5yPMtXPlOn3zOxOnEhGgZxEqWeVHEsjU61ww1H5zn9xCVa602IIg7dsZvCZIm+YVMczRFFEYXRHGuXtmjXDVIZDdtyue6NBxm0LTzXZ/7wFEQR28t1zJ5NrzUgW0yRLGVRGgZGa4Dv+RRGcyzcuIvnv3SSKBCQpLjAqcyN0Nho0R0WW1dtMtXlOs7AZuHoHLIiMTpbolPr4NneTpplMNwl8BwP13apTBex+w719Rabl7cojhdI5VKUp4pky1k828XsmlSXtgn9OE3z0nNL9JoG1917IF4MjOboNQyAuPM/UWDj8hYj0ynGF0aBuPOcLiQZdE0Wn79CFIQEQYSWVNDTCQ7ePok4JKY4psvZJy5idx30lI6ERCSClBFBEBi0BvGgqCohCAKeHYcVFcdycZAPYPdtQj9k41IVURJBgOpSjTCMme/DDx3Djx5W34nnDzbb2AObfCVLuphGkkRWzqzHhWS8xUamlCFfzrLvlgVaW11UTWbQM+m3Bji2h6LJw25zsOOnL08W6bfj36soiozOlWlvdUlkEkiyiCCJNDfjRTLE9pqrnS1JkWIUZBQHhcmqjBiIhFFEr2mgpRUGLYtBw0JPxvYZRVdQNQU1Ee+ajE8WGZ2tMOjG9JX2dpeZg1Oc+NIZ1s5vkMqnyJUzdLa7GC2DXCXDxJ5xfNdn/eImkiSxcP0s5akiB+/cR37kBcLJ1WAhPaXx+u+7k4fuf5zVsxsIQvzYyLS2U5wDZIoZmputeOGof+shdH9ZV65cQdM0xsdfbqP57d/+bVzX5Sd+4ie+7ef9m6ari5e/9/f+Hvfccw+/9Vu/xe7du3nHO96xY325pv/DutZB/xuh11SB/mKKyzdboIdhyIkTJ8hmsywsLLzicwqCwNH9Fe66eTd6qkAukyA/RM9NjObIpDTaHZNSIfYztjoDsmmdsXKW3//fz9AfOCiKRCqp4fkBjbbBWCWLIIrYjsvnv3SGR59aQlEkZEnk4lKNlfUWd91UxrIsbr31VgYDl8/9yfOcOBlvKe/ZPcLffedRZqeKzE4VX3K9C/Mj7Nk1yqWlGtlslj0HkrRaFkcOjFAu6Tzy5DLpFGz5Lj3DR0tJuGJE4AXIksj+QxO0ehaqpqBpMqoqYxEROD6O6eIHIc26gaLJrFY7tDY6eG5ArW4QRjA6lqXbNjl/ZpO73rifx790noc+f5oLx1dRVYmxqQLJpEanNeDMsyu0G3127xnlmacWOXdijXwxRbacZEYZ5brrp7n9rgXGJvJcvLCEKEcoUhJBENh7/TQXTqzRrscx94mMzqGbZtm80qC61qLXNklM5Mjkk7TrBmFkse7Ehfz4rhFaWz0EUaA3DAVqb3Xj9NG+QxRF1Dc7uOWQ3/t/P48si+y5bpr1cxvUzAZG1ySdT6IPw2siSSShQG+jiRhFaLrMpWeWSC/WKO4aY2QijyAI7L5+mk6zz6DW4djpKwhEeK0yiVKOkbmRncjz8V2jXHxumdpak82lGo7lkp+uYPZM0rrC4Tv34AceyWKCXrVPvzMg9ANqG21kXUNRJZy+TXm6xOTeCdrVNqvn1+nUe1SmSiiaQr6SpVvv4dlunOgpiihpheVTq6QLKSRZIplLUPBzNNZbVJe2KQwL7s52FzWhMujG3W09q8WpqlFEbaXO4vEEelpjau84jaTG5N4xMsUMiibTrfdobrbJVbK0tzrYAxtBFMgU0ww6JlJSojiWQxBFNi9vI8oiibSOa8c++0whRb9r0m0YO11WPa0hSgJj+yv4gxDXdPE8n9C38T0/nhnwwniIW5Vp1To7YUSSIuHZbtx9F+IOeBhE8VCnHxKGIRsX40AfURKprTaorzUZmatQmSphGiZRCKoux+m/tsfJL5/F7MX4zERa2wlsCv1gZwGQq2RQVIWZ/ZNxgT1MpjVafcIwolPvIUoCiZROFIT4no+iKaQ0BcdykWSRVC5JMpugs90jkdGH769BYLu0tjoxAUYUh7sDLqWpIlEYIxv1tM7IXIybFASBdD5FOp+iU+/FtJwgpL7epLHRQtWVIe88SWW6FA/Q6gqVqVKcgtsZcP6pyzz35ye5+buu57Z33BgTa16ko288zPT+CdYuVJFliX5nwMMffzzenRsia/udAVP7Jr4j1BbLsrhy5Qo333zzy7rzzWaTX/iFX+D3f//3vy3p1H8bdPr0ae6++25+93d/lx/5kR/h53/+57n11lu/Lb7ca7qm14peUwX6Vb2SAv3ixYs4jsMNN9zwqrdNRVFEkQVmJ19aDFeKae67cy+f//I5ltdbAKQSKm+5+wAREVv1HuNjWUzDxrI8BMEHBAzDY/fcKA89eYk//sJpwjAimdQYrWTIZnSOn1pBl1q846334PsR//k3v8SFC1vkcgl0VebY8VVaLZN/9uNv2ulSX5UiS7z7bdfzlWeXOX9pm3RK4/Wv28dtN87x3IlVMtkGs1MFolBnbbWF4/ogiZRHdA4fyBFGFp11g8mJLIoiYg0ctKSKJIvIIbiWR6qcpNOziQYOoiwiKyKSJNJuDygWU4RRhO8H/MH/eJynH72EEASEQYjrwtZ6h6m5Etlcgvp2l+pa/L6tnd6kut5mzQ/Jl9O8+x/exd2v3ze0sfRY37jCvfcd4ZE/PcfmpW20hEp+JMPr33YE2/ZZWaqTK6Yw+7HNJQIGA4dd101x+dQ6mYweD7HuHmF6ocKzXzqH5/i0GwPmdlfIljI0qx2aW924m6wpZMpp2me7iJJIu26QG8nF3UzXxxpGyHcbfTLlDJ/7bw+jajIz++IBTc/xqW+0KEyVWL6wRWC7dBsGmhBidA2SaY1EWqdbN6ivtXCdgEw+hSSLlCaLTBoWvuNjtAccuG2ByT1jPPeF0/Q7Ju1aj0C0mT8yy7nOJRobLTwn7hAXJ4rYAwdBlpm/fg592MXcuFSlU+shKxLNagdn4JDKp/Bdn3QhRXEsT7aU4cSXz2J2hwObUewvVnWFsbnKMOUxLmJ7jRcWRlEYoWrKTgqrKIu4lsfyyTVs06FVbbPv1t2ML4wyMlth7fwGl55bhEhAlMV4KLTvMDpXYXSuTLaYwXM9tpdrrF+oIqsy7rCI1lIahdFcbFNBID+SpVPrUltrMDJXQkpJOwQXJ5OIr9P2d2whCOCYDqlSAnfg4XsekiYhBzEz3O47RERD3rmApMhEV4cyibGPoR8vAm647zC1tRg/mKtkWT61ytq5zdirG7fjMVoDPMdn3y27MFqDneJaGH5GjHafKIyGJJcQa2AjSLG/PvDAMXvoSQ1ZU5DlGBNZniqRr2R2mPLWIJ4pkIaFbhiERH6AmlBjL7wgIMnx+3L7O2+gsd6hXetQHMvRXG+TzscLsl6rz6BtkhvNcts7bmDz0hbNzQ6e67H31gWWT6zQrRskMrEH3/cCtq7U8WwvpgNV2zzwX7+AY7m84QN3vew+WpooUpqI76Fmz2Lx+BVWzq6TzCRwLJdERuemt1z3HbG3XLx4kbGxMXK53Mse+8Vf/EVuv/123va2t33bz/s3VYcPH+Yzn/kMAL/5m7/Ju971Lj74wQ/yO7/zO0xNTV3zo1/TNX0Tes0U6H/Zg27b9td5dqzNzU3W19e54447vqUkta+3IHjL6/YzO1HkwnINQRA4uHuUhZkytuOjqjKu6zM3W+by4hauGxIhMFJJMzdb5MtPLxKEcUiQHwRsbHWZHc/R7fUplvbS6wf8jz94kGPHY7+vF4RUSmlGR7KsbbQ4f2GL645MsbHR5uTpDUzTYXamxPXXTfNdbzzIW15/AEF44b2bmSqSSqrUmwN27R4hkdJYXW2xa7bEe991I/NzJZ74ykWWr5xEEEQq4wnWlh267T6iIFAqp0iPJNGTGsbQPuGLAkEQIfohQRhS2+5h2y6r6y2qTywSeAGpqwW+LOJ5AUbPQk/EKYPPPHGZ5x65RBRFzO6q4LkBnWafy8dXufeN+/F9n1OnTjExNsWXPnGOxnIdx/ZAEJjbN8a9bz7Ek49d2okCH5ko0K73WV9uMCCim1S55Q37ue31+/jM//oKo+N5JFmiPJ5nY7GO77sM+g6BLKPmkmiajGW6TOweZXS6yPZyHc/1aTf67DowTmE8T321SXurSzAMuZncM8alZ5ewBg7dZp9CJe4Wi5LI7oPjXD65ztLzKwgC9LfbRGHI9N5xJCW2btRWGnh9k/XL2/RqHayuyeTCCIlCCiWhUR7Pxz/bbJleY5mt9RqTC2UiV2T3TbsIXI9O3WByzxjl6RIXnrrE+vlNOvUepfECnuujpnQCx4270mKMBExlk8POeJ78SFy4lCYKbF+pD2PmXTzHQ5REFo9fQdFkpvaO41gugR/Q3u5iDxz0ZOz5hjj8RlZkNi9vkconCfw4kOnMExfirrUkMntomkHHJJGJEygXj1/B7FlcObXKxsUqswenmNw3TnGiSHurw6BnIisyakKNv4tewP7bdu98B73QRdqU2LywHe/8DtM7M8U0xbE8qXyKwI+DnVpbbZobbXRFR07HhJJouJcbhiG+Ewz9LfEObxAEZMsZZFna6faaXQvbtHn8s8/gu/HCSJIlJFWKUZFc3R1+IbgoTiiNiS+qruI6HoPOgPZWB3nYzRdlEVVXWbh+hri47wPgux6O5eG7MRlGVuJrcUyHwIt/Lsuw8N3YZ18Yz9Nt9MgU0iiaTL89IELAMR2eeuB4/PvzQgYdk/JkkY1LW0SAokqki0nG50ZIpHQWjs6xcBQuH79Ct9HDaPVpb3dJZhPkK1mMVh9RFJg5NL3TBW9stHj6T49THM3R3OqQSOvsv233y7CJyWyCd/6Tt3DykbOsnd8kW8pw6K69zB2eeUX35m9GzWaTVqvFXXe9fNFw6tQpfu/3fo8TJ05828/7N01XgwDX19cZGRlBVVXCMCSXy/GLv/iL/JN/8k/4vd/7PT70oQ9dK87/D+saZvFvhl5TBfrVQvOb8aB3u13OnDnD0aNHvypO65VIkiTCYZDNV7uu/Quj7B96aq8qoSvccmSGP3/0PAI+5YqG58tUyll+7B++jo8/8DyZtE5bMwn8kISuYAwc1qtN0kmdRDrDr/7WQ6ysNOOkQl0lAurNPsmEQhhEDEyX50+u8fFPxlYagTiV7/TZTT74gdtewl+/eGGLRx++wPblBk4Q0C6lyOYTvOH1+3jbfYfIpONi6ciRWZ57foN6vU95pEIynaW21WXPQglBiriy1kISHQLfxbUDBBm0tIJn+URBhCxLpPJJ8uU0zWqPSBaxPR9JlfFsjyAIMToW3VY82Pbs44u06gZaQqHbNqmMZYmikMvnqjRrBqdPneHkUxtsXjzH5mKd8miOidkSju2xvdrikT85wZE7dnPu1AYba01SKZ3iWBZZkzl8dJqD102zcGCcQd8mkVDpGzb5YoqZfWOYfZvWVo/mdg/fDzh0x24CP2Dp9AadjkWu5FKezLNxuYbdd9hcbtDtuaQqOURRxBk4VBbGyJbTaEkVy4h947lSika1i9EecOyhc7SrHcZmS6RzCU7VOzhOQLdhUBzP7yRhjs0UEaSQ5aUtAJaNAYEfMrp3ktJYjLOb2TfO+uUtfM+jfrlFv9kjU0giyjLju8cYnY+3n8fmR6kublNba9Ha6sZWFEkiWYy943tunKc4nqdb77F1pUaz2iaZ0WnXewy6JnpSi7vQUUQ6n2Jq7xhLJ1fj4ccwQkuojO0ajVMmvQDHcndoI4omc/nYMsWJAplCCkEQ6Lf72AOHraVt5o7McO7JSwRuQDKbYO38Bp7rx0hJ4oJ4+dQqruNRmS6SyifiDq8kkR/NsX6xypXTq7SrHcy+jWmYDIwBhbE8RjPuRouaTCKdwPd8PNenPFmMu8pEpAtpjGaf2mrjamZQ7IPPJ8mWskCENfwuRUT4jj+kqsRDnpKqDIvumPmup3WIIuy+Q2jGswmyJkEYd9t9NyAIAk49cg7PiQOJrqaUVqZKqLqPO7QZqQk1TjhNaLTrPTrb3R3qi6IrdOu9+D4oxrsOiYyOntLYdf0sdt/GGe7SyCkRq6dgDZzYvjQcmA39ECKQNZl0Lu6a9zsD3v0Tb0OSRMpTRR77zNNsL9cpEC/YAj+kU+uSSOscvHMfK2fW6HcGbK80mNwzhu/5O8U5xCFGK2fW+dR//GNEUSQCnv7T53nvT76NqX0TL7lHZssZXvee217x/fiVKAxDLly4wK5du15mX4miiJ/+6Z/mR3/0R9m7d+939Dr+uuvqYOjDDz/Mv/yX/5JHHnnkJV3yu+++mw996EP8yI/8CLqu8+M//uPxvetaoX5N1/Q19Zop0OGb96A7jsPx48dZWFj4qklxr1SSJOG6HosrDYIwZG6y+DJryVfTm+7ah2ObPPj4GUqlIrvnRnjj7QuU8smYmayrTEzkWV1tYvRtLMsl0iRuvH6Ch59ZZHWjjaxK2IAxcMhmdFw3oNEckElrrFc7/Nmfn6JvOBQKScZGs4iCwImT69x0wyxHDsf+1sceucgn738az/NjRrfpoEQCf+ddN3Dk8BTSi26yuWyC93z3DTz8yEU2qx1SKZ2/++7d3H3XHj73wAmMAUxM5Ai8DaobrRjtJgtkRlQmJ5IUKikuXeihqCHJtEqnOUDVFSJZIptPUN/s4gUB4ZBYkUxrGIqEKAq0mn1yhWTsm/U9Hv6LYzz6+dOIqHSqXRzbo1k3UHWZRCr2Wp96epm3vP9mcrrMVx69iOt45Epp/s733sLfec9NO+mtqpbmulvmeeJL52hvdeOirJTmxnv20m70sS2PidkSjc0OsiIT+gFG12Jm/wRGxyJwfQaGRX4kw8HbFlg7X6W6XKddMyiU04wvjLL0/AqDrsnSqXUc2yNdSNHc6mI0+ySzCTL5JLmRLLUrdfpdk2w5TbPaYdA2WTy5hm1YlCbyZArpmBu+VGPr4gb58QLJrE5tpU52TGPP3gWe+NTTREGIEQQMuibbyzWK43ehJTQy5Qyju0axexZGq095ssjc4Wm2V+psXNqC4R/WfCVHppBm0B1w6dgyvusjyhKJTAK7bzF/3QyF0Xgx0qn1qK026DUNLMPe8ZxnS2n6HRNFlcmP5MiV01x6bhnLsMkU0ySzCURJRBAMKtMlzj91GaMZD9v2mgau46EnNSRJRFYlPNfHd31ylSyyInPl5BqSIlGaLJIppiiN56kubnP5+RUEwA98RFFAljwmFkZJFZKkMrE3+9yTl+jUe6xf3MTq20RhROAHZCvZ2HvuxgOX2XIGq28TBgFTeyfizrUQl+j99oBu3cAbeuAj00PWZCRFRNUUfC+2z6QKSfptkzAK4wTVYREeRfGi2R44Q2+1SCQM2eeyyM33HaW1GSeAGq0+nVqXE4+cxTJetEMYgaLLzB2eprERW6wUTaY8UcAauDu0mlw6S6vWwW7YRBE4ho1tWESArMiIEqi6QjKbpDCWQ1IkaisNLj6zyNZyDbNrkcqncEyHtQub6EmNXrOPIAhM7hlnZKbM6FyFfqvP1kqdo288xPNfOoPZs0hmEzuse2fgUJ4pk84lCcOQtXObPPKpJ3n7j7yZznaXTCne2fir0Pp6nAw7PT39ssc++9nPcuHCBf74j//4r+Ra/jrr6g7zP//n/5zZ2Vk0TXvZcz7wgQ+wtrbG/fffz1vf+lYOHDjwV32Z13RV14ZE/0boNVWgX9XXwyyGYcjzzz9PPp9nfn7+23K+Rsfmc1+6QN85RxRFjJayfOCdN7J3/usPzISBR07t8ZM/eA+jo+PESd8RsixzaM8YDz15mfGxLAld4cpKnTAKePubDiMnNGoXqySHbG2lkqJV6zPoO0QRRKmIyekCTx2/gmW6aJpMf+Cwut5mYa5MEIRsVjvMzZX4o88c46EvnMXoWiRTKumMztRUkepmh5XLdY5eN4PnBVw4X6XTHlCuZNmzd5QPfuA2+n0HVZXRtPhjtmu+zLnzVSzLY/+hSRJJlfXVFvNzZd78lkMcOjLOw186w/Llc7iOSzIv0m4FGB033sLPaGQnc4xNFdlYaoAo0BvEAShhEBFGIX3Dpt0wEGWRP/nkMZxBwMi4FhNTTBffD+m0BiRSGr4XYJkuv/X//Blnnlomk9WR5CSmYfPUn5/htnv2UnwRVeLITTM88umnWb24RRhGlMdzHPng7Zw7vcnacuwlLo5mqUzmWb9cp9MwIIrYdWSa173tMA/+0XFKo1k0XSE/kqW23sKxPQaGjWnHA6iSAK7jU5oqsf+2BdbObjBoD2Lry0iW8myF5kacSLp2vkoQBKQLaWQ1DvdREyqZQhpBEOIud8OgUEpz5pGztLdbaAmFh55YRlZlRufixaee1qmtNjj7+AWKkyXsnkllLEc4lkdLxYE6V1nVG5e2aG/3KI3ncSyX4mSJymyFrcUtKtNxAYYAJ750hn7bpDCSo9fsoyRUJEWmurhN6Mfx86lcCtdyyRRS7LlpFxB/vq8OkNbXmnGX3Y3j3RdPrKIlVCZ2j9HcaGEZMa7PtT1SuSSqrqBqIbblQBRx7slLcec7itha2sZo9pnYM8rEwgi9Vh/XcREVkdl90xz7wkna1Q6SIqMlFHbfME8yl2TQi69DlMTYVy6JDLomMwemyJYzwAuhOf12n+WTqzA0vURhRK6SpThRiIPAbI9ENoFl2LiWS7aSwbNcIiJERUDoQeSHRMPNtiiILS6pQgrPdhElaSehtNcwaG93ef7B03TrvThMiYhUMY09XExcJcQIIvhugKorHLl7H92GQafWI4wi6usNWtU2iqagJmRMw0RP6By6+wDtaptuo4dreVRmS/TqBqIoksjEKaNRGGEPHJ7+k+Okiyk0XaW6tIWe0pk/MoPreBx63T4uPrO00yVXVJn8aI5uw2ByzzhhEHHiS2dorDdji4QokB/Nks4lgXh+Jz+S5cSXz7J1pY5jOiRSGofu3s/rv++uncHo74Rc12VxcZHrrrvuZZ1ey7L40Ic+xL//9/+ebDb7NY7w2tDV7vnHP/5xjh8/jud5XHfddbzxjW8kmUxy/fXXs3//fjRN4yd+4if4/Oc/z/ve9z4+/vGPc+TIkR1rzDVd0zW9VK+ZAv3FFpev10E/f/48vu9/1Wn9V6MgCPnTR5bYqPWZnRpBEAQ2tjv8r88+w4f+7zfv8M//ssIw5Pjx41QqFXbNz+2EEUlS7Dd93c0LbDX6LK7UsR2XVEbg7W8+ynveehO/ef/jZDM6XjnDxkYbXVdIFnQiL6RcSPPB99/KY88skklrJBIqnheQTKoMTJdO1wRgYLn859/8EhcvbseJjVrMUN7a7qHpCpIksrXVxehZ/K//+TiXL8WoOUkWOXR4ku//+3eSGXqEIUYlegMXBi4X1tdI5hNk8ine+s6jvO2th9GH5IUbb9rNmVPb2JbH1MwkmUyO9StNxicyOK6L7XlEwoAw9BBCCTeEdCnJoGniuT6dZp8whGRWRrZEQs+h2zFJqC8g6qyBS73apdc2ETSZpfNVCEFLqZRKaXKFFFtrLU58ZYl73nEdZ59b4fKZdb7ywAla1Q4jk4WY+94w+INf/jzf/X+/kSuXa7QaBumMTmkijyhL7D00wezCCAdumkVRJB7/szPYpoumK1SmCrS3u1SvNKheaeDaPqNzFcbnK5x7eolQlrEGLsWJfOznHjgxe73WQ0zqJDQZy7AoT5fYfXSOzlaH5loTs2vhDHnezY142HXj3CqDdo/cSIp0KkVrtYnvBUN7gUwirZNM60zvHqXXNKgvVWksC9imSyKbpDxRQNQUKrNlcpUcgeezdn4z5m0nVUI/YGSuwp6bdiEIAv5w+LO52cK1PQbdOKE0JpyElCaKZEtpypNFTj9+gV69hz1wsAc2Zs9CViUEgR1LRuxtTtOtGYzMltCTGpWZMmbXZHMxtvRYhhV7pcM4ZXP55CrpfIpUNoHRHhB4AUbLQNWnkWUJozNATkosHJpj8+J2zDAHiCKsvsPpxy8wtWeMylSJqT0T+F4c3pQtpjn5yHna2108xxt2tmUEUUBNaPTb/Z37hijHQ6+jsxVyL1robVyqErg+teUGwtW6L4JkNoktxlSamLsuIMoCQeATBPGiBlGI+fGSgDNwaAzxi1EQ4jgeYdOIC3kpQhTEYfETW02qS/X/P3vvHSbZXZ5p3ydWzt1dnXOYHDVRYSShHEAIIYJlg8E2tll21/CxYOO112u0NrbBeR0AycYiCAtJDNIojNKMpJFmNDl3mM6hunKOJ3x/nJqWhhFgg+TPfJrnuvq6pKnqOqequk69v/f3vPfDuaNT6DUdXTdQbFYAUblovfb5jE5jewDVbsPhUnH0N9Pa30w+VbDey1KVfLqIHJWWGPu6puPyeWlsDwHgDrqJnFukoT2IP+wjvZjB5XeyMLaIYlewOWwk5pN4Qm761nVz2U3rGNrUx8zZOexuO9VyjVe+f/ACe0RiPkVqIUW4u4nmniYK6SIHHj9CIOznshvX/szX6B+l0dFRgsEgoVDootv+4i/+gnA4zEc+8pG37fg/LzpvGf3whz9MOBwmn88zOTnJyZMnl+4TDAbJ5/Ns3boVl8vF6OgoDzzwAF/60pcuFef/H0gwTQTz7W1xv92P/07QO6ZAPy/TNH9kgT47O8vCwgLbtm17y1itk3NJoskCfo+6VIS2NHqJxHMMj0dZt6KdE8PzvHRwnFgyT097iB1b+smnFzBNkxUrViyFEVUqGoap4/XY8bhs/NIdlzEyEeG1Q8dYNjDIpvUrEASB9rCfgydn6O1psIJ24jkM06S3t5GP3r2FjrYAz+0bxW5XaG7xMTkRp1SsodV04vE8zWEfx8/OM3o2gomJbkK1WsPndVCuaOSyZXTdoKYb3Pt/HmNqLEao0U1Lsx9dNzh+dIbBoXGuuGoIsGgoD/zjXk4dnUHTDDRNRy/UuPqKIa69YQWS9Hp3qrnFzy23r+WFZ8+SShVQVYVb3ruB625YyX1fe5FKpYbf76BamCE6l6am6dQkUH0yjT4XzW1epiYzhJqdVLKQz1SQZRENk+buEDOjUYxyzeKwO1Rauhsopi0ffzJmFdhOlw3ThMW5FA/9414OvzhCMVciNhFDlEU8VQ1vwEVDi5/4Qhq9VGPD1h6efeggqYU0Do+dK25bx50fv/KCztuKy7rY/6xFfxEkAdVtZ/ONq8gli9RqOr0r28hnithdNqqVGvl0kZbuEI2dDUuDpVpNp2tVB74GD6f3jaIZApU6BcPmtlFIF4nNJilmS9YAYIOHs/vPoTgk2sOtSKKIzWmjnC9TypVRbDLZeJ5irkR0MkpyIYWvwYvDYycTyxKdSXL02RMMbBogm8wzuKWP7bes5dyRSZ755z1U69zzWkXD0A2GNvcjKRIN7Q1k4xmy8SyqQ6W1rxl3wMXY4Qn8TV4aO6yiJ9zVQC6eY/zYFLqm1z3PAopNIdjipKEtiDvgQlFlDj19nGw8h2JTyCXzVMs1bE4VTIFSoWwFEjntFt0mbsW/O/xuVIdKtWwVl74GD0eePUk+VQ/6mclSLVppuKpTtYaFdR1DM/A1esmnCqQLWUzdINQWxBlw4fY7SS6kSMwnkersd9Wu4m/0MHhZL4VMEVmVUWwyowfHic8nySRy1pCmy0a1VMPmtqFpusUnNy3vuWKTUR0ePEE3WlXH4bZRypfJpwuUshWqJctPnqeApIggWcW6aVjFtqRIVEtVRElAqxoYouUZF+qs83TUIgoJooBoWhQYxaYwtLmf+GKcQqaIL+AjMh7l7P4xbA6VQLOffKpALpkn3N2ILZoln7ICrKz3yI9iU9EqmsVRFwU0TeeZf9lrDf6ar++KOBN2suTxN3q54n1baOpsAGDtNStZe81KANKLGcYOTTBzZh5/k5dysUImlsMb8tBYp2D5Gr0UcyXOvjr6thXomUyGSCTC9u3bL7ptZmaGr3zlKzz77LPveA/1+e73iRMneP/7389XvvIVarUa586d48SJE1QqFZ555hl0XefMmTPs3bsXu92Opmn86Z/+KYZhcO+9917CU17SJb2J3lEF+vmLyZsNiabTac6cOcOGDRtwOp1v6TF/WIIgLIWDnBie5xuPvEa5UsNhV3jlyAQnh2fYstzJTddfZQ3J5Ys8+fwZDh2fpVbT6WgNcPuNq+nuCFLMLLB2WStr1qxY6kRsWt3J5FyS2cUMnoADURVpafDwkTs3E/S7ME2TzjY/J88u0NHuR5REZqeTaLrAmtXtmLJAoVjFYbcWFIYik45kydcZ3+l0kWDQxcxCmshsGkSBdLpEtabT292IIAqcOb3AtssH2PvCMLsfP874mQVsdoXmFj8ej53FhTQHXxrl2utXAFDIV5ifSeLy2Fmxso2BwWbi8TxOp4rfb70fff1N7H/lHH6/k+VrO1FtKvPTSZqafWy9YoD1W9rZ8+xxJidSiIKAKVcQJZN8tmhFm+s69qCTxpYAiWgOE1iMZCyqTLqAqUGxUKVcrJJNF9m/Z5hkJIPH56Sx2UdqNolhmiSjOdxeh2Ud0HQmhxeYGYmQjaRRZAmtWOWVHxylrSPItptWL73v73rvBrRyld3ffIV0JI0n4OKyrb3EXHZymRKCKOD2O2lsDzJ1Zp5ULItpGDj9Lt5z23qOvzyKy2sn2OynnC/jcNkoFSsUsiVy6SKmrCDbVHKpAqIo0r22k1BbkCPPHEevGFTyVVx+B/5mPwtjC6QiaYvVrRvYXDZmRyPo1RoNbUEEQcDf5KOUL1NM58mn8iSnoywUy8RG51icilOr1gi1BtBqGtGpOBPHp5YoLE1dDTR2BCnmy4Q7G3H5nRTSBSZPThOfTdLYEcI0LU93c1+Y5HwSUVLwh510LGvl7KtjaFWdYGuASqFCPlXA6XFQKlSYHZ5f4oHLioQgQs9qK23V7rahawbZl6wudyFTpFywEk0lReLsq6MIItjcKkK9SK1WaticNnwhjzUTYZqUciVME2aGF9A1fYlhPjeyQKDZhyiJaDUNrabT2BGiWq6RTRUoH5+mlC3iDrpp6mjA4baTjKQx9AKiLFkBQA4b3pCbddespFQog2lRbGbOzpNPFy2LSn1g1jRMZEUmEPZRypWXqDh2t80auHWqVviLYvnU9byBiGVHon6JM3QDu9tGtVxDUqQlW0i5YCEsvY1u5sYi6BWd9FzW8tfnNYrZEsmF9BIvvW2olfZlrRSzJcqFCsV0kWKuxMzwHHaXDZfXibfRSylXRq/p9G/osRYwVY3FiSiDm/vpW9uFIIqEe958tscf9nHnp2/lpYf2Mzs6j7/Rh6/BSyaauegaqutvPnj/s8o0TYaHh+nq6sLhcFx0+xe+8AXe9773sXXr1rfl+D8vOh86NDw8zM6dO3nggQdQFOs7o7u7m3e9610AfO5znyMajeJ0Otm7dy8AR48e5ciRI+zbt4/du3dz6623/n/2PN6RuuRB/7nQO6ZA/2HM4hsL9HK5zJEjRxgYGHjT7cyfRZ2tQRqDbqbmEoSC1rb1YjxLyO9ioKdxqTjvbA0A4HGpnB2bZcPKNux2O/lCka9/51UOHJ7C6VDxeR2cGY0QT+Z5zw3dVCqVpaTQ82oL+/jQbRs4PjxPKluipcHLmmWt+OqkFUEQuPaKIeLJArML1hdfR2+IDWs62LGtn68+8AoBv5NCg5v52TQut4rD70Q0DERT4PIrBoilChalw2MjmzJwOFVKxRrZXAnTMKlWNe6/7yVee/UcZkVDwPpCXZhPI3eG8PqcJGI5Usk850YWefLRo2QzJRRFYnBFC3d/ZDutrf4LXst16zo5fmCCUwencHjtuP0Obt92GTffuga7Q6VQKKA6ajQ2BVFkG909YTzuLONnF3C5ZDRdxxlS8TRJpBIGIFDIl2locFEp1yjmyqRiWaplDYfXjsvjID6XIp8rYXeq2F0qhWwJraZRLlWJz6epVjReevIE2ajly25uDyAIArG5FM899BqXXbscXTMYPjxJIpLhpYcOUErn8Ydc6JrBE/+0lxXbBijVTArZEg63nYa2ALpu0NweoLHZx/JNPfStamPyrJUWC5ZvvHWwmXNHplicSlAp11DtCr3rupk6PYusSDR0NVHRijh9DgqJIvlskUwiR3Ixi2K3YWCCKNDW30pLX5jJ49PE5xJkk3mCzX6KOYuy4g/7yS4kyMbSeAJu4nNJ4rMJvA2eugVFoamrgdiM5XGXFInJ41P1MCBwuu24Ay5cfheB5gC1cpXp03PW33vQRWt/M4IA/eu6UewKgiCQ6EgxPxZh8uQM5XyZarmGXrMi7DFVFLtCoMmHO+ji1EvD1Mq1pdAdQ7cIL6WctUsgioI12KqIpKIZAh1eQs4ApVyFarlKqqph6gaJSBq9pmHWC+bZkXmrANasjrqhG2RiWdoGm/E1+rA7ra5fqC3AyMFx5kYWEAQQJYlitkRsOk5TZ4j2oRb0mkG5UMETdJNPW93/bDJvpbVKIpIiIkoipmlQKWogCEv2GdWh0tzTVLeUWDsM82OLFmZxIY0oiUuYRUmWMHQdxS5bLHpAkkW8zR6ykRyqU0WWLS97pVihVtUYOzyBIAh1vz74m7z0resiG89Tq9bwN/nqCbg6siLj8jkxDZPZ4XnsLhs2hzXfUcyWyCZyOL3WMPP5sCFFlZFkiQOPH+HoMycp5ss43XYuu3kdN338motCidoHW/jAb7+HSrGKYpMZPnCO7//1k2RiWbwNHsvGVaywbHM/b4cWFhaoVCpvOoP04osv8tRTTzE8PPy2HPs/q843t1KpFPl8nnA4vNT1vueee2hvb18qzt94//NF/PmAovOs+FtuuYVMJsPv/M7vcM899/Dkk0+yZcvbS+S5pEv6edM7pkCH14v0Nw6Jnvd6h0Ihurq63vJjqorEHdct558fPkAknsM0IeR38sHbNuBx2Ykm8jjrcdW6bpBKJnE6HFQ0gXyhzDcePsjeV85hGCZVzaBS0+loCbAQTbP/4Bi/9KHrSKZLvHZ0ilg8T0vYy6b1XYRDHq7fPvQjz6utxc/HP7yd4bFFSuUqLc1+ertC6LqJ22UjmyvR3dNAuVQjlSqiGQYd7UHefesaVq9s42///gUcDpXGsI9sukSlrKHrOslEAVEUmItkmJ9NUSnVkOuvs0NVqVQ0crkSNkVC1w0eevA1Du4dRVEkWtsD6LrJsYNTeHwO3v+L25bOd3E+zf1/vpuZul+7EJcYvG4Ft71nHYoiYxgGJ06cYPW6PjpaRV567ixzM0lUVeaaW9Zy/e1r+fbXX7LSFZ0KxZRBZDqJrpvkigUUr0jA4ybc4iURLTK4tp1itopcT4DMpou0DrYwdniSalljZiyKaZq09odRFIlsNEsmWcDltuMN1BMaE3nGT8/z2P0vMj8RJ5fIkl5IEWjy4g1Zg5yZeI6pU7Nccfc2Ro7NMHzgHKIosO7KQe765LuwvWFGYeXmXvbtOoYgWEUPosTybQOUciXKxSo9q9pxep0k5pLkUgXikRQ2r0Dful7O7hshHclQKVexO230bBlg+tQMtbJGoCWAalcJtgRIzCfJJSysYSFdRNd1TBO0So2+9d2odgWb00Z0OkE+XSQQ9lMpVpYoJ5IsMnl8GrvLhjfoIj6X5MjuE0tBPx3L29h6yzoqpSrZRJ5Xdx5i5OA4xWyJ+GySlZcPEWoN4Am5cMacpCJWAaraFRo7QsRmEjT3NNG1oh2wCgGb02b5lKNp9JpFOJFVCbffic1tRxRFvCE3tZrGxPFpzCpUqaFVaggCuAMuCpkStVJ1ybIgSSL5dIFwl9XprRQtX38pVwITTr88vFSEuPxOyoWKVWjL1vAkkoBpmNQqGv5wAL2modd0/GEfsWmRhfFFzh2ZRFZlTNPE1A2cPiedy9uQJIlCtohqVynkipbXfC5ZxzTKOD12apWaZSmRJEzDsK5nNYFQa4BaxRqalVUZu9tOOppGr+pUS1XKhQoI1OlEguX1RkSxy4h2Eb2mU8yUsDlttC/zEp9NAAKh1iALY4uE6sjJhXOLCILAwIYeTBNiMwlKuTKmaYUmLYxHKectEo+3wUMulSeTyNG1ot0iuaTy7P3XV2nqbGDTzesuCq4RBMFajAFDW/rZMrGBY8+fYvr0LHaXjbXXrGTdu1b9rJfni6RpGqOjoyxbtuwim6Ou6/yP//E/+MIXvkBra+uPeIQfryeffJIvf/nLHDp0iEqlwtDQEB/72Mf4zd/8zX+XXaZSqfDQQw/x8MMPc+DAARYXF7HZbAwODnL77bfz3//7f8fv9/9U5/hmOv/d+a1vfYsHHniAd7/73XzmM59h586djIyMsHv37je9/xtfw/PF+vldZZ/Px9/+7d9SqVT4u7/7u0sF+n+gLnHQfz70jirQz0uWrS/F8744gJUrV75twyp9nQ3ccXU7TW2DGIbJQFcj7vqXT097kAPHpwn6nKRSSSRRQlVFWhq9HDk9w9lzUSRJxG6XkGWRQqlGLJmlXCoTauxnMV7iqw/sI50t4bApHD4+w9GTc/zKPdsJBV7nt4+di/Liy6MsRDJ0doS46ooBOjuCbFp/4aJEEmHz+i6eeuEMsWSBcKsP2SHR0ujjnrs30xz2oesGwZCL+bk0ra0+qpUaczMpDN3E7bGj2BXcPgf2WA6pTpKo5CqUChaxIp8tURJFbG4bxw9Nkc9XUGwSkUiGzq4QtaqdE4enuf2ujSzOZ9j77GleevIUhUyR5vYAza1+MskCR14aY/vVQ/Qta2FkZAStZtDR1sWyZQ6WrW5jcT6D06XS1hlCEKCpxce54UW8fifL1nYjChKRmRQet5e2rgBb39XH9MQiLz89QjyZwNANZLtIIVNBkkUSUQHBUbdCVDU0zUBQFatrLImYukE+W8LhthGZsQqbv/2dhyjlyvQsb8WsVclEBPLpEm6fE6fHjmpXKObKNDd72P/9CLlIBkkSeXXnYYrJPB/9vTuWost33LHBWlDuOcvMiWkE02DtVcvI5p1ohok3ZFFFWvrCZPaPEV9I0u4IkyuWuOzW9STnUxTzZTqXteGop2QujEXIpQoYukk6kUeUJSqlKqV8GdWu0tIftsJHhufJxHM0tgeRVQtTWcyVWJyKUS1W0XXLQnJizxkcXsfSuYiyRGw6ztzoAt2rOhFFgcO7T9CxvJX9jx1mYXwRT8C9FFV/9LmTDFzWiyxLrL5yGYtTMSsUyefE7Xex79HXSMyn6FzehiAI1Mo1gq0B0pE0lVIVWakX5k6VxHyavrrNolKsUsvlkFWJ5Hx66e9d1wxsDhVPyIU74MbQdJxeJ1qtxsyZefKpAoBlD5FFTBPLDlIvNkRJILWYwdB0HB4HnoDLmjEQBcqFMppmcHLP6bodw0SUJFw+B+6AC5vTRrVUrQ+DWsWZVZQKiAURURJQFYWKWSE+k7CSPuuebpfPiSfoondtF+lo1tq1KldBgEKmiFbLIUkirkqNasmaL/EEPRSyxaXdAJtTQZDq4VA2CUM30DIahmZwdv+oxWCv6ciqTP/6btr6W0gspBAlgd51XUQmYqg2FUmR6FrRjq7pnHxp2OLHl6vE5yqkIhnUOk3KG/Lgrw/L+pt8FLMl9j70KqdeOktsJkG4p4ntd1xG//oLO9eSJHLNhy9n9Y7lJBfSeENumnua3pbr9fj4OC6X600j6e+//36KxSK/9Vu/9VM99pe+9CU+//nPc9ttt7F79248Hg9f//rX+dSnPsXTTz/Nww8//G8OxFu9ejWjo6Ncf/313HffffT19bGwsMDf/d3f8Qd/8Ad8/etf57nnnmNgYOCnOtc3U7FYpFgssn//fvbv38/u3bs5cuQIn/3sZ3/iYsAwjKVi/fz7dp7+8p73vIdPf/rTnDlz5hJ68ZIu6Q16Rxbo5y8U09PTRKNRtm/f/pYNhf6o48kirF3WdtFtV28dYHw6wfD4ArpWw+Vy09MRYt2yZna/PIKsSHg8djKZErKsokgi8USOkN+JzeHkz7/2AvPzaZwuFUkSaQ17mV1Ic+DwJDe/ayWGYfLSq2M8+N3XqJQ1PF47s7Mpzg4v8Bu/djVtP2QjAbhsXScOh8KJ0/MUS1W2b+ll45rOpTAiSRK55qohHvn+EaZnUoiyREtXgL7eJq68fIB/ffgQoZCbXKrI3HQCt8dONeBA0S1ChtfnxOZWUV029LJGLlmohwBVyOUsikW1orH7iZPsffo0lVKFfKaIYZjEFrMoioQv6CIyl2LkxBySqrHzmwfIxkye/OY5hla3ccv7L2No5YVdru1XDxGLZBg5MYsky3iCbtZu6eWq61fUE0JFmlvCjBxNoNpkXB4Vl9PD2NFZDE0nXyjhCtnoXtHIzJkklUKNbLqIz9+A2+8iFc1SyJbIJvNoNYO2gTDRGavQTyxmcXqdlndZ0ykVLD9/ZCqOpMjc9wePUi1V6VnZiqzIlAsVjr84zNE9Z9l0w2pKhQoLE1G6+pt44Rt7yMwnkCSBF//1VVSnSqi3FW/QhWpTCIR9eJs9eLw2PF43A1d3ceV7NvLgV54gk8jj8Fi+2rbBFqLTcRJzKaIzCUzNINAaQtN0yrkigxt7CTb7Sc6nmB+NkIllUVSZxEKKSrmGVKeUiLKEL+ilfbCZ4QPnKGVLS8FcsiJhc6q0DzYzP7pAJp5FViSOPn+SbDxHQ3sIu0tFVgPk6sOIqirTuaKDQ08fIxlJAxBsscg5DW1BkgspZs7OI8kSuqbTMdSKy2vH1+BFlEQrGbNQJjF/1LLSmFAulSkXK9gdlndb1wwEARravVTrC5KuFX7KhYrFGBdF7C472XhuCf9n6CaKXUFSRNr6mylmLWKOalfJpwrUKjUy8dwSFhKs4leraXWWu4he1cgl8oRaA2y8fpBMLGtZPAQYPTTB2OFJq8vN6zaBUFuQjuVtJBfSmIaBrMjYXCqmCaVcGdWh4PI6SS1aQ7m1cg3DMCw2eqpg2VCcKp3L2tBqOsWsxaDPpHJUClVKmbLlTa/PD5TKZQqZEpIqIdslHD4bk2dmaFvdzN2/ejtm1STUEuTbX3yE6EyC5rqffG4sQrVUYXBzH20DLcycnbMeR5boGGqhlK9c8HksFyoMHzhHY7s1CDx8YIy5kQV+4X/eSWd9h+S8BMEKZjpPi3k7VCgUmJmZYfPmzRcV/6lUiv/9v/83999//5syvn+SXnzxRT7/+c+zYsUKHn744SU7yJe+9CVSqRRf/epX+dKXvsQXvvCFf9PjRaNRNm/ezK5du5aK+t7eXi6//HLK5TLf+973+OhHP8rLL7/87z7XHyWn08lnP/tZWlpa+OY3v8lTTz2FIAiMjIzw8ssvs2HDhgs8++f/ficmJnjggQf4jd/4DRoaGpZ2S85fI66++moqlcpPDA+8pLdQlzzoPxd6xxToP+xBBwujtWnTJux2+4/6tbdEPw7r2N0W5O6blrHr2YP4Q930djaxdiiM22XD7bJjAl2dIUZGIhQKFSoVDUUW2Li2m1PnImQyJZxOFZsqk8oWURQRVZWYnktR03QefeI4u3YdJ50qYrfLiLJIe4uPhUiWV/af4673bqRW0zl9doFoNIvf52TlylZWLbN+fpSWL2vB67Fz6vQ8pXKNzo4gq1a2kcmUUFWZUrlGR3eIXLZEJlVE0wyCTR6uumEFN926hq//4x5sdgW9qjM/JVGr6JimQTFfIZ8ro7pUntx5lFQsh8tts/jPqoiuG6RTRZwuG7puMnJ2nice3U8xq9EU9iFK8NqLoyRjOX7zC7ehvCGlMBvPET8XJTabRBAElm/s5tY7N+Dxvz4U3NnXyLZrlvHqC2eJzJYAWH/VMq579zoee/AAis3a4Sg015gZjmFUa8TiCewNNly6A6dLpZir0beulab2AJlYdmmAMLisGZffRXoxTXIhjWFY9I62oSYWRiPWc4vlaWj1Y3fZSC5mmDozjyAI7Lp/L5lEnnQkSSGRp2OwGdmmYOgG0ek4RrFEfN7qIufiaVr6ffzXP/rIEhMdYPXlA+z+1ivkUgUcbjuaZtC9potqoUw6mqW1L0zrQDOTx6eZPjO3VFD5m304fU4qhTIzZ+cBsLvseBs9RKditA+2Eu5qQBAEvA1eUotp0tEshXSRSqmCoRucfnkEQRToGGqtF455UpEMpZzlu9eqGrIsYXequPwuXnp4P7V693fs8CSJuRRDW/px+Z1cdfdWSvkKhXSBtoEWRg6Oc/DJowgINHU30Le2C1mW8DV4yCYsW5mJgWpTLM65LDG0tX8puTQyEWXi2HSdJGNx07WqhsvnRJRd6DUdQ7eoLuVihUqhgihLyDYFSZYQJBFd08mlClTLNcvOUy/Sq5UagWb/UsiRrMoU0lZ40aGnj5OOZRFFAV+jF4fLTrlgDYie982bukEhXWDj9aspFytUS9Wl8J7EXIpUxCKzWAsAsDlUhrb2k5hNkk8XrcTQOr4wuZAGARxuO4apU86XkSW5bmHSlvzwLq8TEwN/ow+7244oC6QiaY4/e4aJ41PEZ1KIkkhTVwhDMxk7NoEsSciqQiDsJ9QSQJIlmnsa0WoacyMRVmxfxoFdh8mnCrj8TvLpIrlkHofbQftQ69JQ8syZOV5+9DVmzs6TSeRo6gixYvsQTu/Fw5pvpc4Phra1teHxeC66/d5772Xjxo3cdtttP9Xj/6//9b8A+NSnPnWBVxuscJ+vfvWr/Mmf/Amf/vSn33Qw9c30kY985E077p/4xCf43ve+x759+5ibm6Ot7eLG0E+j87tG99xzD1u3bmVwcJDW1lYeeOABnnrqKT7xiU9wzz330NvbiyzLSzCEXbt28fu///u0t7fzy7/8y0tWnj179vBXf/VXjI6Osnz5clateustS5d0ST/PescU6G9UuWyl7PX09BAIBN724/24Ar1QKBCZG+eX7rqKpqYmajWr+yXLMmuXt3Ho1CzZfJnu3kbm5xMUS3DHjetpbvbz5N4zhIJOFqM5JFFAVWRSmRIep42mkJtjp+Y4eMQqOhx2BVWVyeZKJBwKiiqxuJglmy1x/zf2MTEZXzqnrs4QH/nFbQTfYJGpVjWOHZlmeiqB06WyfkMXbW0B2toufP1CIRfLlzVz8NAULreN9u4GJFuapgYP73n3OpYtb8E0weNxkEwWCDd7ae8JMTeRoFrRKBariLJIY4uPbKKA3aFiIiDIYt06IFIuVpmfSVIsVDh5dIpcooiiyOTyFdo7g9idCtPnYoydnqd3qJnD+85x4rUJDj53BgFoCPuoVTVGjkzx1Hdf465f27F0/oIgcM1taxhc3cb8dBK7Q6F/eSs2u0Ig5Ca6kMXfGaR/ZRd6BRamkoiGgtvtYN0VfTi8Mi/tPIMmlYjFNRx+G8WZErpukFzMUjFA8TiRJYFKqUaos4G2/mYSs0nKhTKZZJ5A2Gt1k9NFXnvuNHsePohikwk2+4iOR9CqGul4noY6j93mtCHLAmu39PD43z9DJpEhP+/kK7/yNT76v++ie5WVgrjl5rUkF7OcOTBOOppFr1TpWdFKPlemqaeJcB1719TdyOzoAqlolkDYSyFTork3jMNtY3Z4gYa2IA0dISqFColZy+/ua/CQiqSplquIgkBsJgFYHfSGtiCpaAZZkaG+Tna47UiyVMdBWuFC52kph3efwB10EWoNkkvmycSzpBYzpBZSbLn9MmwOG5Ikse7alTz9T3vY9+gBTBNq1RqzwwukIhla+ppoG2zBE3djiAa6odOzrIv5sUXmRhcQsCLrwQoU8oRcZOJ5RFFAEAXsTguD6PG76FrZbv3tCQLx+STzY4tMnZpFEAUwTQzN8o/7GjxQH750uO2YhkEhU8J0mUvdRKuYlsgl89QqNRS7iqbrLJyLEgj7UO1qnRdvIiuSxSjPlzm9b5jotLUbI4gCDrcDT9BNuVjB0HSqNQ27y4bdaSPUEiDUEqCYLVEt10jMJyjGSmRi2TpjXsQwDSRZorGzgVZVJjFvJYyapkljR4j5MSv/wDBM3AEXpiGQXcyjVwyCDUFqlSqRkTh9mzppX9tMuVzG3eDi1K5RZsbnCbUEsNlUSrkKTq+Dre/eiGkYHN97hmQkjcNtJ9gawOl1LC0grTkFk1e+f4gzr44iSSKGYXLq5WHu+n9ux+V76+haP6x4PE42m2X16tUX3Xbq1Cnuv/9+jhw58lPZamKxGC+88ALAEtnkjRoaGqK9vZ3Z2VmeeOIJ7rzzzp/4mFNTU7hcrje9rb399d2HZDL5lhXokiQtdb+///3v8+EPf5h7772XP/mTP+Hb3/42X/ziF9m5cyf/5b/8F2677TbCYcse98lPfpLnn3+e559/ng996EPY7XZM06StrY3Gxkbi8Tjf+MY33pJzvKR/my550H8+9I4r0DVN48iRI4ii+KY+w7dDomhxiAvFCtl8Bb/XgcOuLJ1Le3s7zc3NS8X5+TCi9mY/H7h1Pc+/MsrsQpKAT+TDd2zj2stX8NKhCQBaWvykUkVy9W6nphl0tgbYvKGbF/efw8DE73eyGMkgigKSJJLJlnCoCogCf/wXTzM2sojDqdLU4CEUcDIxGWfviyPc8e71AKSSBe7/2l7GRqOARbh7ac8Iv/SxKxha1nLBcxUEgRuuW4nH4+DkqTkMw+SWW9awfVvfkkUGYPsVAzy28yhzMylkh0qozU8w6GLthk4O7B+nvTPIjGZZQ+wOFd1lw+FQyCaLmKqErps4/DZ8QRvVvIaiSmQzJXLZMh6fg1pN5+yJWZ565DBzE3FyiQKZRAGbU6Fa0/D6nRiGyaG9I9x2zzaicyn2PX2KyEyStp5GLr9xJZuvGrzguW25ehlPPnSQ6XNRZEXCGXBx5Zp2Nl85SEtnkMYWP/OTccYOJpBVCbtLxqbaKKTLlAtlFmcTIAr0XtaBVtGJnEtQqWrksyXC3Q1MnpylWqoyPxGzrA+KTDZZJB1J09gRRFEtgkYpUySfKRBo8pJL5UkupNF1g0f/4gkqlTLhrgZsdjuR8Sjf/OIjfP6BTyLJVrjMTR+5gmWXdXP/b3+L2EyChbMz6LqB3e8m2OxDURULEdjdhKqIFLMlXD4Hl99xFdGZBLWqZSkBq8h2eBzkk3nGj09Rq2hggivoppQr0dQRItQWxN/o5fQrI6QWM+SSeYrZEvlMEUGwdkEL2SKiKFj2nGY/sZmEVbgBLr+VEJqKpGkfauOl7+0nXUfuSfWwKKfXga/RSy5ZoJQvUcwWae1voaE1wN6HXkG0C/Qs77RCefJlkgtJZkcW8IbclIvWgqKhvYGmzkYkSURSJILNfo7vPUs+XajvJlidbUPTcQec5BJ5qBfdNpfNSvhVJFr6mqmWq/VBzwLlYnWpc32elKLaFYsL7nFQq9YQRAWXLFHKlzEME61qdezhfBqowHTd0iMAekWnVtHYevsGZJtCKVtCtSvW+1OuEZ9N1u0lRQzdsuc0dYWoFKtUChVqNQ1RFvE3+pAkEVmR6VzehmJTmD49S7Y+JFwuVhBFq3suqzKSLFqpspIIOJFkmfh4ii03XMbY4QkSC1lCzQEWpxLkUnl0vc7G395LuppgywfXsepdQ1QyNRraQ5x86QwvfPsVdE1fsisl5q1U064VbYiitSgfPz7NqZeH2XzL+rf0unxeuq4zPDxMf3//Rd1t0zT53Oc+x6//+q+zbNmyn+rxDx60gpcURaGvr+9N77Ns2TJmZ2d57bXX/k0Fus/n+5G3LSwsAGC32+nv/9lJNyMjI9RqNVaseB3le/PNN/Pxj38cv9/P3/7t3/Lud7+bv/mbv2HXrl382q/9Grfeeiuf/OQn2bRpE6FQCKfTia7rS7vVgiCwYsUKvvKVr1AulwmHwz/zeV7SJf3/Te+4Av306dOIooiqqv9hnjdRFDk9keXFk0+TL9XwuGxcu22AgL2AqqoMDg6i6zqapiGK4gV++KGeJjqbvbz48isM9K2mp6cbsIZL3U6Vmm6wfFkr0zMJkqkiA31NfPzD22hr8aPIVlBIS5ufdKpIoVBB1020mk640UMkkSO6mEWSBQQBFqIZZFnE6VQ5OxzBNE1efHmUH+w8yuRoFNUmEwy4CIe9RBYy7PrBMQaHmhEEgXS6yOx0EodDobu3kWt2DHHVFdaA0huDiM5r46ZunE6Vo0esIdH+q4fYtKWXeCzHkSPT1GoWZjARzZFJFjAME0/QRVtPE9fevJJnnjxOIZ+jtT1Mar5Etd79K5eqFHJlcpkSe3efITaXwu2zY3MoyIqEaUIylsPjdSBKAvlcmce/s5/9u08v+YnHzy5w5vAUv/a7t9HcEVw65xXrOpg4OcueRw+TTxfpWdnGdbevo3uoeek+LV0hNl41yP5nz5BNWqms/et6uGzHIK88dRKHW0V1ScTnU5gYlPIlopE4vqATu88BukEhXcQTcNO/sYdsPEcuniWXsnjewZYAidkE1WKVudEI5VIVSba6svHZBK6AHZfbhSAKBFr8RCZjjB+fZvLkDK/84AjlfJl8Kkd6MUNDexBZlcglCqQjKc6+Ooa3yQcmrLpiiNt/9WprtyPgwu6ycfT5Uxx97hT5dAG334VW1WloD1EtVYnPJnD7nYR7mnB6HZx44QySavG7ARo7QmTiOWaHFyzKiQCqXcUwDOxOleaeMN6QG0mWLApNMo8oieSS+aXO7vE9p63U0rqdJjoVp5QrWVYUScTlc2B32SikC8iKxAvfeZlEJI0oCGTmcnQsa8PutnPtL1yJKImcOzpJuLuRLbdu4PF/eIb5sQg2h41A2IekSHiCLoq5IrGZBKqjHmJUDxVacfkges3qZntDbs6+OkohW2Ly1AyGplv2FMPA6XVg6Ja9xTRNVEVBraMk/c0+qqWqVXgLAsmFFMVsjUqhgiBa9gBRFLC77dZiQBTrCy2JTCzL3GgEf5OP+GwCQRSwOVT6N3az5zuvUCvXECQRBNA1nUw0x5bbN5BN5kglk1AVyaeKTJ9JotoVZFXGE3RRKlRQ7TI9azqJjC9Sq2romk5LXxPZRJ5cMoesKji9DmRVZnEiyvf+/PEldKNhmPSu7aK1P4xpmHSvaadjTQvFcpF4PE4un6OqVynEMri77Pha3EycmkZRZMtypMq09oWXbBCKTUaSRBbOLb61F+U3aHp6GlmW37TTvHPnTk6ePMnDDz/8Uz/+uXPnAGhsbPyRpJaWlpYL7vuzaNeuXQB87GMf+zfbZX6UHn74Ye666y5uvPFG7rvvvqXzXLHCyq+o1WooisKNN97I1VdfzTe+8Q3+/u//nscff5w9e/Zw0003YbfbefDBBzl27BjABcSet5I0c0n/Dl3yoP9c6B1ToAuCwPz8PMlkkm3btnHw4MEl1OLbrWNnFzg8nCEYFPG67eQKZb7zg9fYutLLL9x1A2Bd6ICLLuCGYXDq1Elawg10d79OXGkL+7j+8iGe3z9GNlemqcXHlk09vPeGNXjrneqVQy0cPjFLsVxjYFmYudkU+VyFyzZ00toe4OjJOQIBJ8VCBVWVMMomyXQBt0PF7bYzPLLI07tPU8hVrE6bLJFIFlBVCa/XwcJCmmy2xNHD0zz3zGmy2RKKLNHV3cCH7tlKMOS+4LkUCxWGT82jaQYDy5pZsaqNFasu/FJ0OBTaO4KMn4sSCrnp7G9ieiKG12Nnx7XL2bClF4dL4onH9qOqTuwOGx39TUycjVAqVEgnCtQ0HX+jB5/fSTqapVbVMQTd8vWaUKtoFAsVFqaTKA6FJx48QDFdpqHFRyjsAQQWJuO8svsU7/3YlcQjGYaPznDm4ASHn7dsMjabzPjxae7/4k5+688/hL/B8q0KgsD1d22kZ6iZqdFFZEVmYE0b4fYAYyfnyKWK+Lw+vG4vWsFkdjSCVjbJJSt0rmqhe10DB3eN4G92o4lVJIeIKAtUShVymRLZRB7BbkPSdErFCqrTxsDGXmrVKon5BFrZoFysIMkSmViOUr7E9/92N1OnZlHtlmd6bnQBSbZ2aSzfuJtSvkxrd4iG9hAn9pziyNgso6+c5dpfuIJr77kCsIr2yRMzHN9zluRCGkmW6N/QjSAILExGaR9oQRRFquUadreNdCSDNtiCYZhUilW6V3YQnY4hCAKeoIe2wWZGXjtHMVPCHXCSTxcoZkvIqoxW1YhNxxFEwWKt22Tiswla+5uXPiPBVj/R6Ti5ZJ5Cpki1XMPQrQHPI8+eQKtpeJvcaEXLXz15coZrP3wFN3xkB6lohs23rKdzeRsHdh1h5LVxitmidZ0YizB9do7GjhDhzkZkRaJYXwi4/C7GDo9TLdZo7LQGFnXdwO6yU8yWKWVLiLL0+iKkqtO/vhtRFNE0DafHwfSZOXLJPLN1P/9524/dZcftd1IpVdGqGghWuqjVpbcj1+cpbE6VXDLP/FiE+bGIdQ6a1Znv39i71NWXZCuUqJApUi5WWJyIEp2PU8lX0asGTp8Du8vy/59nxnsbPATCPsLdjYS7G6mUKqQXs2j1ZNtcsoCsSjjq15hatYYn4MbfaNFZcsk886ML3Pwr15KOZqgWa5hFgf7B/qXua6VSIZvNksvl2PHxLZx5eYRkJE2wxU/8XIrkbBZ/0YOiqkiihFbT8TZc7At/K1Qul5mYmGDDhg0X2VdKpRK//du/zR/90R/9TIVkNpsF+LHF8vlwvEwm8yPv82/R4uIi9913H+3t7fzhH/7hz/RY8HrQ3rPPPsv09DRzc3McOHCAO++8k+bmZhRFwTAMDMPAZrPxq7/6q9x88838wz/8Aw899BA7d+4kHA5z7733smzZsiUf+yVd0iX9ZL1jCnSA5uZmvF4vdrv9x/rC32odPDGDYUJDwIUsSUgixOJJ8rUWFEUhkcrx4sFxxibjuFw2Nq7qYOPKDkRRYGxsjFqtxvr16y/4AhEEgc1ru1jWF2YhmsVuV2hv9iG9ocAf6g9z63Ur2bNvlFyhQmtHkE3rOrl+xzIe230SQYDGJg/RxSzFQhVTgHy+gsdhY/Ombs6cXaBS1QgEnKTieWRZxNAN0pkSfq8V5vL1+1/iyP4JZFmkrT2Iw64wMhxh1w+Occ9HLwfAMExOHpvh4QdeJRkvACYer4M7PriJTZdfuAUryxK337GeZ546xfRUHEESuObGVbzr+hX4/E5M0+TQoUOs39zF8ddiLC5ksDltBFt8SIJA70ATE+Nx+le0kFzM1odLZWo1HX+Tl8RCGoDF2RQI0L+6nenhCLIqkU0XcXntBEJuZJvM+NkILz11kucePkwmmWfx3KKVfNkRwt/gxtBdRGeTvPbsaa67ezNjx2cZPTaNJEus3NzD9XdddsFz23T1Mp7619eYn7IoMarLzvprVrBqUzeBBg/LL+tGq+ksnilQ0zTsdhuiKOIKOUnNZ5kfj6BrJv4WH60DYcaPzCCrCpLNQvHZXTYq+Sq5VIF8qmChEp02Dj9zEptTpb+nqz4YqVAt1yhkijg89qX7JmYTjB+ZoFqp4Qm4yCRyfO/PH8fmtHHlXVuQFZl3/5cbWH/daqbPzPLyIwc4+sxxirkyumbg8jgItVpd+VBr0EoYnY4jCALtQy0s3zrAC995hY5lrUt/y40dDUykppg4MYOuaeiaiaEbSKqMIgk43Q78TV58jV6Ov3CaXLKAJJ/3cGsoNplquYqhGQj1QUlREkktZvC3eQkEfZi6SaVcIxvPEmjx81e/+fWl4r+lN0xkIoogCnhCbirFKnpNJ5vIs+G6NSxORfEE3QgI+MM+dE0nMr5INpFDdVid51Qkjc1po6m7EYfLRiFdxOayoagyM2fnSMyn0DUdXdNxeOwYum6ldVZqS4N0YBVD/iYfngYP1VIFxWZZe4q5MunFDIJofe5FUVyyzUmyhCRLqA7VQlg+dRxBFFAdqpVQKouoDpVipsjwa1aeglDnn2s1nXXXrqBcsBYExXyZYIuP9GJ2ybIjyQ7mRyJUqzWaOkIkI2m0mk4mlrXCp3wubA7FGvJVZdwBF5MnZ/j6579lLTIAh8fBtb9wOe+650pr8WCz0djYSGNjI729vWzfsZVarUYul+P4S6d5+qsvcO7EJJIqUs5XCYR9OFtVFhYW8Hq9OJ3OtwyxODo6SmNj45sW4H/1V39FQ0MDv/zLv/yWHOvtlmEYfPzjH6dSqfD4448TDAZ/8i/9BL3vfe/j+eefxzAMtmzZQktLC5lMhiNHjvC+972Pq666CqfTubQAFUVxaXHw4Q9/mGg0Smtr65LV5t/Der+kt0+XPOg/H3pHFeiyLON2u5f++z+qQC+Uqkj1LWtd10mlUrhcDnRDIF8o8cD3DzE2FcdpV5mP5hibjFMsVlnW7WFubo7Nmzczu5DhuReHGZ+K0xByc+XWftavasfrti91zH9YgiCwfVMva1e2k0wX8HkceD3Wfbs7Qhw8No1ikxgYCjM5ESebLdPc5OW2W9dw2YZuZmaOAALBRg8LsymK+QoIArpeQ5ZEHG4b50ajaJqOIArMzaXo6grh8zsZGY6Qz5VZjGR4+okTvPrCCLVyjXCrj1CDl0Qsx6PfeY3+Zc0EQu469s2yhASDLu7+0GaymZLVbfXal76Qx8fHqVarvOf9V9HRMcFr+85RLFTYuL2fq65bTrFQ4Tv377Mep8mLx+8klcghIOBtctPU3cDgihYic2kQRQJNXuILGYrZkjUnkCtjtyvEIxmqms7pw9MImPQMhYlNxjANk2Q0h8trR1FlDN3k3Mk50onnOPD0KSolK9DmhUcOceevX8Omd61Yej/WX9GPrEg8+939LIzO09Ds4+pbV7P+6gvZv5ddu4IXdx4lWy6CINDQ2sSm69YycmQSBAh1eCkVygiSSSlfJBaJ4w+7aehqJDoeJb2YQavp+Bq99Kzt4uyro1RKVfKpAp6gG0/QQ3wmTjaZJx3LWixuUWDi5Ay1So3etZ2oNhWn10lsJs6LD73KxhvX8OrOQ5zdP4Y74GTmzDyjhydweOy4fA7isykOPXmUgc0DCIJAz9oubvvEdZRyJSRFontlO4tTcfY/dphsPIev0VsvMEWLYx7NIssiDrdK20AzEydmUO0qy7cNLL33DredfCpPPm2xyS0rCcg2BWeDA0kW8TV4kRWJkUPj6CWdbCxHMVeiXgPz4kOvUilaRZ9pmpw7NkkuUaChLVC3sVj+73yqgCiJTJ6cXQohcrjthLsaWLa1n3BXI2deGaWcr9C7tpuGjiCHnz6ON+TB7rLVBzirKHaFxHwKWZEQZZFcIo/qUPA1eule1UE2YfHKZVUmNpMguZgmHbe45naXDa2qW4uOegCSaZjUNA2Hx47qUAmEfRiagc2pUq1oZGIZtKpGOV9BEAFBsGZaZKshodoV7E471XKVWqXGwniUoU19xOdS5FJ5Wvub0ao6cyMRnD4HxYz1N+jyuhjc2EM2kScbz1HKl5FkkdhckvGjUygOFW/IjdNjp5gtodplulZ2ItQ97M9/62WWbRlAsclUChXCPU3YHK+HcCmKQjAYZMftlxNuCnPwyaMk5lM0dAVZdmUfzgYb09PT5PN5ADweDx6PB6/Xi8fjwe12/7uLv1QqRSwWY/v27RfdNjc3x5e//GWefvrpn7mo9Hqt3YVSqfQj71MsWte+H+ct/0n65Cc/yTPPPMPOnTvZtm3bT/6Fn6Dzg807dlhD9J/4xCcoFousXr2a++67jz179nD33Xfz3ve+l40bNy4RZc7bXpYvX34R1/ztyhq5pEv6/6PeUQX6D6MW/6MsLqsGWzh8YpxSuUqlXEQQZQRRYKi3idNjEcZnErSFfaiK9XYsJnI8v3+EckZl3drVnDmX4L5vvkI2Xybgc5DOlpieTQKwYXXHTzy+y6nicqoX/NvKZS2MT8Y5fmaOak0n3BZg/QYvH7hjIw11a0p/fxMHD09RrmgMrGxl8lyMdKJAOOyms6eRRLaIB4FMooDTqVIsVkmlrIUAQCya5cFv72dxPo1W1ZBkkXgsjyRJNDR5icylGTsboWcgzA8eOsj48CIm0DvQxLvv3kRD04Xb2slkktGRcfq6l6HXDLZeNcimy/vRNB1VtawApWKVhrCH+dkUzS1+ela0op2cRTBN+pa1sunKAS67YoCvffkpZuvkmpauENl4jkKubHUrY3kQBYJhH/nkAiawOJfG7rSRT1vd7VKxSjZZJJcpcvzV8ToyzkZ33ZMfm0+z6xsvs2prH3anysJUgkw8x4k9pxk/NE6topGNpPnn0QjZRJ4d79u09Dyved9lNLT4OX1wHF0zGFrfxZrLB/jn//MY6USOhsYgNIJZguHXximkywimFQi15tZBJo9FUFWFpu4GVJuKw2MnvZixvPnpIqViFUGybBsYJg6PnY7l7aSjGeIzCXKJAqFWhVKuQq2iEZmI8fXPfYuz+8cQJYFqWSMxl8AbdOP2WyQJ1a4Sm0ngb3DT2t9MfCbOt+99mIGNvVz9oe0oNoW2gWa23LaRfY8eIBPPYprgDbpZvm2AU/tGaGwP4nDbUe0quWSB6FScSrGK3WWjlC8TaPGTS1hDppIi4Qq5CbQEmDg+RbDZj8NtFYfZVBZJFsklC1YXWRSsICVZJBlJ07WifSlePhD2k4nmKGSLFLJWhLwoWbMbJ/aextANlPpQ8nk//C/8/l2suWo5mViWWrVGsCXAqZeHeez/7ubckUkAREnCE3Tj8rnwBN3kUwUM3SDQ7Fvq0gfCPoLNfgDSUYuHXsgUAQGpbqtRFBlPyM3Ky4fIxLJoVQ3FppBP58mnikvebEW1vO21sobdaaNkWAOnGCa6qeMOWbhIb9CDJEuU8iUyMY3YTILEfIpauYZpQrVU49Zfv47odJzIeJSeVZ3Iisypl88iCAK+Bg++Bg9zYxGiUzHsLhv5VIFKoUIkW8TutKHaFcLdTUss+ECzn+nTszzwv/6VcrGCVtUJtgS4+VevZfnWC4N0BEFg+dYBlm8dWCoQ3yjDMCgWi+RyObLZLAsLC4yMjKDrOi6Xa6lgP//zo4J/zmMVe3p63hSz+7u/+7vccccdb1q8/3t1fjA0FotdlJh6XucHO3/UEOlP0m/91m/xjW98g8cee4zrrrvupz/ZN+iNr30mk+HEiRM8+eSTKIrCv/zLv/Dwww/zx3/8x7zwwgt88IMf5NZbb6Wnp2dp0Dafzy81xC7pP5kuedB/LvSOKtDfqP9Ii8sVl/XywstHWVhMoRsGXo+HVf1htq7t4LUTM4CwVJwDOB0qC5EYwcvXcm6uyD9/dz+Li1lUm0QiU6S5wUOtprN33ygbVndQ03ROnJ5nfDqOTZVZvbyV7o4fH+ihyBLvuWUN61a3E4vn8Xjs9Hc3oKqvn8eqFa1s39rHwUOTFEtVGlp8bLm8n7vv3MjDO4+Qr9Twuu3MTiWsok8QKBaqCAZs3tbHxEScVLJAS6uf1EIWSRHRdZN0qoDP70TXDQ4cGOcbX3uRQrZMc4sP1SZz/PAUxUKV3/jMDUj1hMVKpcK3v76bqTM5dtemcLptXH3Laq69bS022+vkBYdT5dY7N/D0zmNEFzMIgsCmqwa55c4NNDW/3p1at7mH6XMxkrEcTredxq4QSjSHP+AkmynRt6oNWZGYH4siCFAq1mhoC1LKly2mdCRDqVjF6bETCHvIxLKUi1VSsTyhsJdAg4dkLMvYiVlO7T/HiVfPkUvmiU1EcXrstPVaBKHUYoZd9+1l47tW4vI5mB628IbhjhDrrrzpgvds3VVDPP3tV4nPp7E5VXQEGvtDrFzfgz/kY3BDNys29/I3n/km8fmUVYiVS7jCTtLRDNHpGLpmoKgyHas6rE5otkT32i4aWgOYhlnnZxfQqhq5VJ5KqUqlVGX/Y4fpXNFmUWRyJeIzcYq5MkHDoFbVKOctdKlik9n3yAFKOSv8ZuzwBMf3nObTX/sEvkYvN/zyDvrWdTF5cgZJFsnEcux//DBzIwtgmnSv6gTAW7ebxOeshagki6y8fIi5kQiKXcbutGF32TB0g5mzcyxOxhBlEa2mWYmiklTHIAKCVSTKikRsJkGtolFIW551MFEdCoV00eKPSwK1isUDz8ZzNHY2AqaFHNQNKsUK0ckY/7jzIGdeHcXpcXDlXVuZPDW9tBNhmqBrGtl4Fn/YS8eyVuxuO4ZmoNhkRl4bp5QrkZhPEWz2Uy1XSUcz2BwqXSvbycbzlPJlfA0eDN1Ar+l1hGUNm8MiwJhJq1jVKhqiLFEtFynlBRweB4HmAHaXjVwyDyYUc0UEGQqpCtViFVEUsblsiKJAtVRFlCRsTgW3302tUuOF7+zj3id+u/46FShkC0ycmGJxMoY/7KOcL5NazKA6VNbsWMHCeJTYTIJysYKvwYNqV6yB2roM3SCbyFOranStbEdRFeKzcR75y100df0S/iZffSF04dfRm3VbRVHE7XbjdruXBhZN06RcLi/52hOJBBMTE1SrVZxO5wUFu9frRVVVZmdn0TSNrq6ui46xb98+du3axdmzZ3/sNfTfqo0bN1pEmlqNc+fOvWm65/ljbdq06aLbfpwMw+A3fuM3+M53vsNTTz3FFVdc8Zac8w/LZrPxwAMP0NvbC1gLiR07dvDggw/yxBNPcOzYMV544QU+8IEPcMstt6BpGn/yJ3/C5z73uaUdhEu6pEv69+kdV6Cf93v+R1pc3E4b121qYmohT2tHLy1NAfo6A8iSSLjBiySKlCo1HDYFE4hEEnhcKt3d3fzjg6+iaQY2VcbtslGuakSTeZoCbuLJArpu8L3HjvLakSkMw8A0Yf+hSe68dR0b1rzeXa9WNQ4dnmLsXAy7XWbd2k4G+pvo7Wqgt6vhTc9bkkRuu2U1l23oIhrL4vU66OoMIYoCnR1Bzp6NYG9U6BkIMzkWJZ8vY7c5Wb6ylVtuX8u+F0cBcHnsuDx2sqkioixSq+rMTycoV3VGhyOkYjkESSSWyNPd1UBT2Mf0RJzJ8RhNzV5e2TPMk48cYHEqg9fvorHJS7FQ5rFvH8AfdLPxh3zsXb2NfPQ3r2ZhLo0oCrS0BZYK/fPaePkAuWyZgy+OkEkVaGj2895f2o434OLBr+7F7Xci1gkd8fm0ZTNQRHzNfmQBVJtMLltm+WXd5OqBMIIAmWQBX8hFZDZJPl3i/j9+nFwiT2t3CJfLxqJuUCpYyagevwtv0EUymuXsoQmO7z3LqVfPUSlVcbhtbLlpDe/9zeuWur2XXbMMXdM5sneY5EKKainPtptWcPdv3nZBV277rRt4/L49VDIaNocNm+Ji1Y4VZGJZcqk8gTYvjqCNYqmIkTFJRFM4fCreJg+q00alWKGQtt4rb8iDN+RhbnSBQsYalFRUBdmm1AtL6zG1qg6myavfP2h1ywdbEAQBXdOZH42w/7HDXHX3No7vOU0qkqa5p4nje8/w/DdfwjAMquUaI6+NE5uO0z7Uis1p4yP3fgBZlsjGc7T0NtG9uoN/+K1/ITGfJNBkLba0mk6g2U9qwdqlMQUTp9uO0+Mkl8qzYvsQsmINS+bTBeJzKabPzHG+9jvvY7e5bBiagWGYeEMeRMlaPGg1jWp9aFNSrOHPH/zd0xTSRZxeB6lImu995TFKuTJOrwOb04ZW1RBEgWKmhFbVOb1vhGLGslAFmv34Gz1svmU9J186y/y5RRSbRU2Jzybr1pdODN1AlERGD08Qn0mQTxewOVSyCQNDN7A5bbT1N1OraqQXXw8rshYWWXIJoU5mcZNNZxF06+/D0K3fryZr2Jwqit0KF1LtCpIiWYz9xQz/+JlvMHF8xtohaPaz6srlTJ+ZIxlJozpUBjZ0E5+zFoHtgy20D7aQiWUxDJOGtiDHXji15GOPzSYwDZPmnsalHZfmvmZmzszx/b96gny6SLVUpW9dN1fdvZVQ67/POy0IAg6HA4fDcQGur1KpkMvlln7m5uYolUqoqkqtVqOpqYl4PI7L5cLhcCCKIrqu89nPfpbPf/7zbxk/vKmpiR07dvD888/z7LPPXlSgDw8PMzs7i8fj4aabbvoRj3KxdF3nox/9KLt27eKZZ565qLj/yEc+wj333MP111//U533G3cw7Hb7BXz1QCDAnXfeyYYNG9ixYwff+c53+P73v8+rr77KwYMHeeqpp2hsbLxUnP8n1iWP+H9+vaMK9B+2uPxHFejZbBZNq3HV1hX09fVRrVatLy9ZZnlfmJUDYY4PLyCJAoViCdPQuOPGraSyZbL5Mg0hN7l6fLpNkSmUKqSzJVYOtTA+neDw8Rn8PgfuOo95YTHLM3vPsmp5K6oiEY3n+Nr9LzE+HkNVJURB4LVDU7z/zo1suqz7x567IAi0tPhoabnQG7lhXSejY1EmpxJWuEmbjwFvM7fdupaVK9sQRYG2jgCSJFIq1ehd3sy50wuk6nYYm1PFHpAJh72kIjkcLpVSqUYylScc9qHrBvlsied2neDksUmS81l0zaSQr+B0VQg1eojMpjn48igbtvdxbP8Er75wlnSyQP/yFq66aTWdPW++8ACrI/uu29eyZccg2XSJYKMbu0OlkCvjD7mIzqcJt/npWdVKsVChVq4hiiIbrhzklnu28uru0xx4/iyKTcHX4MHlc5KJ5RAEkemRCLl0kWCzn3yqQDFfIZUo4Pc5kOqEj0K2jM2usjidoFyq8s9f3Ek+mae5u4Fgk5dcusiLjxyic6iFzTeusfzx2RJrL+9n6ugER58Yo1yokJlIEjkZ41f++EO464mom29ajSgJHHjqBIVMibVXDbHjzk3s/tY+ZkYitNSj2Z2Si6Oxk5SzZRLzSQqZEoFuH6oqk5zJ0NAeoLGjgWKqxML4Ipl4FsUmWymouoFpQGI+ZfH1FZnGzhCLE1EMw1xaCNcqNbSqxviJaY48d5LpU7OYWIViJpbFE3TjDbnRajrpaIZ8qkhDW5DLblxLPmGF+Qxt7qdnTSeCIHDFXVv4wd8+zczZeWRFolbV6FndidvnABmqtRrdg52U8hWOPXeSfCq/FA9fypXxh72kFzMWzF8QcPmcCJgYhkn/5gEKmcJS6FEukSdybhFEweKP15NARVmiubtxaeGUiljJsKLkpJwvo9Ws+5mmSSlXqnPQrVb+wrlFTMPgPZ+6ket/6SrmRhdweK00zX/89L9wdv8o+XTR8nE7FFSb5VevlauUCxUkyRoKtdkVHB4HrWEfXSuswmnq9Cz5VMEirSgSCAKpRYth7vLZaR9oITaToJQrI4jWc8+nC6SjaQRRxOlxYHOolIsVjjxzEk/Ig91lZ3EyTi55kP/yfz+OzaHiCbhILqb51h8+TDqaxdfoQdd0UosZ1l6zkps+fg02p8qZV0YolWt0rWgn7rFQla9fVyCbyHHk2ZOEu5tQVJnXnjzK4lSMj37xg9hdtn/j1fVHy2azYbPZaGh4/TqgaRonT56kWCwiiiLnzp3j4MGDfPGLX2RgYIDm5mbm5ua4+eab0TTtR1pk/r36/d//fZ5//nn+5m/+hl/5lV+54HG//OUvA/DZz352ieYCcPjwYe655x5WrlzJt7/97Qt+p1ar8aEPfYgXX3yR559/njVr1lx0zD179nDNNdf81Od8/vvylVde4dvf/jZtbW3ccccdDA0NLVl1uru7+c3f/E22bNnCI488wqOPPsqf/umfYrfb2b17N8AlcsslXdJPqXdUgf5GSZJEpVJ5249TrVY5cuQIDocDp9OJpmlLxblFY4APvXsjAydmOHl2hmSiyk3XbGHD6h7mo1lsqoyqSPi8DjJZa9hN0w06Wly866ohZuZS1GoabpfVqRAEgYDPQSpTJJkqsLCY4TvfO8jYyKI1hKertLX6KeYrPP3MKdat7UBRJKLRLOfGY4iiyNBgGL//x6f2eb0OfuGDWzh9Zp5EskDA72T58pYLwohWrGxj3fpOjh2bQdcMPI1u2nobuOmWNRw/NsP8fBqPz4FqkymXaogilIpVErEcPr+DSrnGyJl5bE5wOO1gWDaaVLKAP+gCAWYm4vz9nz7JydcmUVQJh9PGS7tPMz4c4ROfuxnfG9JQS4UKzz16hKP7xhAlkY1XDbLjtrW0dr7esXN57NxwxwaefPgQc5MJEGD5Zd1cfctqOnsb8QVdCIJA38o2Du0dIZMs4A046VjWQrWqIUsC5WKNlp4mBjd0cWrfmGUVyJYJhb04fQ4ysSyVYoWZsUWqpSqBZj+5lBUOU8iW8PideIMuCtkSJ14epa0vzGNf38PM8AKFVJ7o5CKqW6a1N4xW0Tn50jC7vvYcd/8/Vgx5MVtmxZY+Lrt+1ZKlBWDltgEmT8+RimZx+RyYiHSt6iLQ6KJaqrJ+Rytb372OA08e5eBTJ/A2e8kXC9SoIikihUyRUn3gUrUr+Jt8JCMpAmE/rX1hK8I9mbdwfIk82WSeaskaRjz45DEEAVr6wij15MrFycpSOqRpmrh8TgzdxB/2890//QHZeA7q8fU3fuwa3v3JG9l4wxrcfhfHXzhFIVOkb30PkizyzS9+D93U6Fvdg9PjwNAN/E1eC79YqlkMcodK//oeFqdjOD0ORFHAV4+Xnx+NMHV6hmq5hmmYaDUNW937fn5Zb3PakCQRrWL5tXNJa2BRtln+71wqb91XEDANs75wkQi2+AGWUkBLuTIn9p4lE8ty7thkfbBVpn9DNy98Z5+VqCoKFCs1SpKIP+xjzY7l5JJ5K0k3XyYZSZFLFZbY8aV8mUqxiupUafE1kYpkrAaEYNmFDN2klC/jCbpp7m6iVq0t2X30mo4oi9bgpyQhySJOnxNvfRbF5lSJTsV56Xv7QYDp03OEuxvpXt3B9Ok5a0dCtEg9V39wO56gmw//7p0W4rRSI9jq5xu/96+c2TeC3WnhIqPTcSqFCs09TTTVE2w9QTdzoxFGD42z+qoLhwvfKpVKJRKJBFu3bl1K4ly3bh3r1q1j3759fPe73yUYDHLllVdimiZr1qxh/fr13Hrrrdx2220/9XF37NjBvffeyxe+8AXe+9738gd/8Ae43W7uu+8+vvrVr3LLLbfw27/92xf8zn333ceZM2c4c+YMn//859m4cSNgFbzvfe97efzxx2lra+NjH/vYmx7zvK/9p9H5ovoHP/gBv//7v8/Ro0cBePXVV7n//vuXqDfnC/WNGzeybNkyrrnmGm688Ub+4A/+gMbGxkvF+X9WmSZLk/Nv5zEu6WfSO6pAFwRhqSvwHzEkapomx48fx+PxYBgGtVoNvc5pfqMlwWFT2Ly6DaMwQ++ObXR0WNaU1iYvgz2NHDk9R7jVh82pkkkX6WwP8slfupLWZh+ZrEU6qdV0lDonuViuYVcVTMPkyedOk8uVUWQJt9tGsVxjIZKhrcVPKl0imSwwMRVn1xMnltJIgwEn73/fZSx7QwAPWImiZ07Po+sGA0PNNDf7uGxj9498/ooicdcHN7NmXScL82lcbhsrVrXh9TqIJwucG4+hqBLdg02Mn12kkC8jCSK2kMLN791AMV+iUCjQ2dOIpJWYyS4iyiK6ZpDLFEnF82imyexkgmqlhi/goqnFjz/kYmEmxbEDE1x5w0pGT80zcmqOV544QWw+g9trRU3/4Bv7iM6muOe/X7gFvHxdB61dQabGolaXaKAJt/dChvGKjV1sv2ElB/eMMHMuhmpXuOauTazc2MWj/7SP1q4QsiIRaguQq3u6Dc2gqafJSnfEpFrRaBtopmtVB2f2WZSbbKpIqNlHqVAhk8xzYt8YZw5OUC1WCIR9ZGJZSrkyNqcXWZaRZZlyocKhp05w3T1X8OhfP8WZV8fANFm2uY/3/reblwrEdTuWkY5nOfrCWRLzaRxuG+/68Dau+cCWC75EBVNk9MAUesHAH/KTN4qE+5oxNI3YZBy714Yn7EZWZTLxDJpeQ3XJgEmw1YqYj0xErXAdSVxKG5VtMnJ91sLpdSCIAoW0NTxZyBbRa9aO1gvffglBEGnsaFjqtD59/wusu3YV7UMtONx2Ntywhs7lbRx66jj//D8fJD6fxNAMUrNZ2odacbjsXHnXVnrXdjF6aBzVrrJmx3ImT80Q+2aCxo7Q0rVAtSl1tnhhaTEjKzKGblgLD58LsKwv06fnSEZSTJ+erVvKTAzdxOGyodUsAsx5Oo2kyNQqNfxNXmoVbSlMKB3N8uAfP0pyIb2007Dvkdfwh30oNhlXfXEsKxZOMjYdJ9zVQHQ6gVaz/o423riWxakYkXPWYLUkSzT3NJLPlOhZ1WEFYC3EEAWRTCRPLpEhn7IQlUkpZe0KCNC5oo3YdIJyoYxpWMe0e+xUChUS8ylsThWXz4mm6bz08H7rdped+bEIbr+TO/7bLdhdNhwuG33rey7ofPubXrc33PKr7yKfyjM/tmilqTpUQm0BAmH/0n3O7zpYg7Jvvc4PhnZ2di4V52Dxya+88kp27txJW1sbu3fvxjAMRkZGOHLkCEeOHGFmZuZnPv7v/M7vsH79er785S9z7bXXUqvVGBwc5C//8i/55Cc/eVEh+/73v58HH3yQFStWsHLlyqV/z+VyPP7444BFm5mbm/uZz+2NOp9mnc1m+dSnPsXVV1/N//yf/xOn08nMzAx+v3/J/vLG7zGXy0UkEkFRFD772c8Cl7CKl3RJP4sE03znLHM0TaNatWK4p6enicViS12Jt0MjIyNEIhG2b9/OiRMncLvdBEJNKLKM2/V6p9kwDA4dOoTD4WDlypUXWHEKpSp79o9xfNgKNVk12MLVm/tx178Iy5Ua//CNlxmfjOF229A0g1pN57ody+hsDfAvDx3ALkuMnI3gqJNcKhWNUMCFz+vg1391B//49b1UKxqNjR5MExYW0jQ2efitT12HqspUqxp79gzz9K4TlEtVQMDttnH7HevZfsXFA0//Fi1GMnzrX14hHsths8vk0iVkUeTyKwfYtL2PpmYfjz26h2d2jtLR1YQsy4wcnyEVzSKKInangmHC6q29nD4wgQlomkFj2Etzm5+5yTjX3LoWr9/Jsz84SjaZJzqZQJIlmlp9hJq85DMltJrOZ/7sbnwhF0dfPsf8VByP38m67f00tfp/7HMwTZPF2RSx+TSegJPO/iZKhSpfvfcxioUKTa1+DN3g+Msj5JMF/A1uPH4nm69biTfo4vFvvERnv0V9mRuNMHlyBlEUCbZ4SS5k0HXD8ldH0gSbfXQNtTDy2gip+TQ2p52OwWbKhQrxuRSyKhHubiCzmMXbYHU+c8kCAxt7+O9///ElOwZAKpbhya89z6Enj1EulGnqauQ9/+VG1l6zcul5Hdh1lD3/ur9Op7Gz6aY1FHNlXnviGJ3L2zAMg3KxxKGnjlMtVWkZakCraZQyFZxeB4mZNIoi42v00jbQwshr58il8nSt7FgKJMolc2Bac5xWaJLVrS0XKoS7GgmE/Uto0sR8ils/cR3njkwxfXYOUzcIhH1EJmOU8iVsHhW9YpBPFRElkbs+cxs3ffwaEvNJQKBjeZuVSDm+yP2//W3SsSyekJtirly3rxiYumFRUuwKTZ0NnHxpGEkRGdrUv/S6zJydI7WQplysIC4VVCayIhNs9WNz2qgUKrj8TnLJPPHZFKZuLIURgVWI2lw2GtuCKDYF0zSJTseplqr1Tr8N0zBQVIVirmh1uTWr8DdNE0kS2XL7Rn7tz+7h1MvD5JJ5WnrDZOJZdv71U4R7GlmYWiS5kMKoAoKJw20nl8hj6KZFPbJZ/vTOet5CKWchABfGo5SyJfKZIopq7fLZnCq1+uvSs6pzKeU0Mr7Imh0r2HL7RqZPz+L0OFh7zUrC3Y1v+nmplKqMH52kUqrS0hfm4T/fRWQiSmv9M5BL5SmkC/zSH7x/aVj4rVQkEmF4eJjLL7/8IuvKmTNnuOKKKzh06NBSSuY7Vee74h/84AdJpVI88sgjF1hv4HWU4okTJ4jH41xzzTXUajUef/xxQqEQV1555VtqEbqkt0bZbBafz8dld30RWXlzPPNbJa1W5uBDv0smk7k0i/BT6h376Xm7PeiLi4tMTU2xbds2RFEkX9R56KnXiGc1FEVh1UAz775uFU0NAUZHR9E0jeXLl19ELnA5VG65egU3XDEEWEE+b5TdpvCL79/E8y+NcHokgt2nsHldF5dv7uXcZNwadPQ58XgcZDIlJMnqtteqOtu39hGNZslmy7S3Beo7DNDQ4CGRKDA/n8YwTR7deZRDr5yjVtXx+R20tfrJZcs8tvMoy5a3EAy50XWDuZkkumHS3h64iMjwwwo3+/iFX9rO4UOTRBYyhLf42LCxi3CdtDI9PY0nILB+cz9njs8hSSKegAuH28aKNe1k0iUy2TIutx2Hy042lUeUJYr5CrWqhiAIuNw2Xnr6FLIsEQi6ScykkGSRVCyP1+/E7lSJzCTZs+s446fmic6mADAx2f/MaX7x0zfQPXjhLkIuVeDg82eJz6dobAuw8ZrlNG/pff398tjZcdtann7oINOjURCgta+Z1R/qpmeomaa2AE3tQWZGF3G6HWSTBXwhN+HuBqKzCaqFCol5yxPcvaodm1Mln8hRyJZJxTPYvDakqIRWrZFczJCN59A1A5vbw+TJWdx+F26/ywqrsatMnZpl/Pg01XKN/Y8dIR3LYug6Z/YNo6gyqlNl+vQsX//8t/j01z9B9yrL673l1vWsvXoFyUgab8jCKZ56eYQjz5wkm8jhCboRBZlwZxOKzfLVCzZYvb2d5qEmdn9tD94WN4ZhkMmnsftVMnGLuAJWvaraLe44Jjh9TgJhH74GL6dePks+XUAQRbKJHHpNQ9dN9jz4CuV8hWCLD1ESmR1dsDzQzW5cbheiV8AdcJOJZlHtCl/5+N+zcO78exDmo1/8AJ0r2vngF97LngdfYX4sQvtAC5tuWssLD+6jmC3hCXqWvPy+Bg/VSo35sQhOr4N8qoDdaaOhI4TNoVKsM95DLQFGD02QXswgKRK6ZpBN5DANE5tToZApWYmoWKFdcv35i5JIuVhBViRcPsu/XspXKGZLUP8sCqKIalcQJRFZlVBsCqIkceaVEeZGI7QPttaHXgVWXbmcI8+c5NXHDlHIFOtrAmvXsGdVJ13L28mlCoiiQLlYRa9p5JN5fI1enF4n2USWcqGCK+BGkATK+QqarqNlivjDPsBcCmhyuCwO+5FnTjD82rk6tcXkxe/t5xf/110MXnYxLtDmUFm+bXDp/6/50OXs/JsnmT49C1gEoI03rqVzRftFv/uzStd1RkZGGBgYuKhoNE2Tz33uc/zar/3aO744N00TURQZHR3lxRdfZOfOnUvF+RsRkedRiv/wD//AoUOHeOyxxwiFQtxxxx1Lj3WpOL+kS/rZ9I76BP2wxeXtKtALhQInTpxg9erVOJ1OCsUyLx1PsJg2cTnt1Go1Xjo0ztTMPFdvsPyXLS0txGIxvF4vDofjokL9hwvzNyrod/G+29ZzZ30z5Pzv9nSGaAn7mJ1P0dkbIjKXJhbLEwq5+eBdm7ji8n7ODkeWONGiaB1D03UkSUA3TL7/g6NMTcbBMHG5LNb5wkKGzs4QkYU0ExNxqjWdh75zgLnZFIZp0tTk5Y73baSvv+mic03G82RSBZqafTSFvdx0y8XDTZlMhtHRUTZu3Mi2rS4O7x9nbHgRh0NlzcZOBpa38Nj3DrN/7wgA7X2NjBwvU8xVEIDofIa+5S00tvjI58o0tweoFKsWaQXLw18u1UgsZikVq+x94gSpSBZv0EVXXxOyLDI3meC5R47wsc/dTLlYZfTkHIszCfY+fIjEYmYJ3/fKUyf59T+8k0Dj68z29VcM0NQWYPz0PIZp0j3YTOdA0wXvaXt/E1tvWMW+J46THVvENKF3TRfrrxxgz/cPEwz7CYS9ZBN5ZFWmWqmRTedo6mqilKxSzhbIRLMIokC4q4FQR4jRA2OUi1WK2TKqQyGfKZKO59j1teeZObtArVxFsSnMnJ7BxKR7pcUDd3ocRKcTvLLzEJ6gmz0PvsK5Y1OEWgJcedcWWvssMsayrf1suW09h585SXp4HlmRWXvNCu74rzdSzleQVYlA2E82kefUsyPkEnmausJUK1Xy0SKBVh+ZaBZEAcWmEO4NEZtMUStr9K7txO6yg2lic9qs6Pl8GUEUMXUDQRBYGF+kfbDVuh8QbAmQXEijleuBRPmytVAQYfc39lLMFJci6CdPzfDV//FNfu97n6Z3TVd9F8BEUWXis0m+de8jzA7PI4oiTq+Dxs4GWvrDbL19Iyf2nCE2E2fl5UOsvGKIXf/4LJ6gm9YBa/FWq1p+9Uw0A2UNm0OhUrS64U6vg7513eRTBUzTsslEp2KU8mVmhucxdRNBEiwCiyIhCOftoSamAaJpPfdAi8+yFEiixXNfSPPQl3/Awrko5UIZWZboXtXJ+utXsfdfX0FRZWwOW50Hn2fk4DiX37kJBIFMPIvdbWPZ5pUcevr4Envd0A2cbjvtg83YXDaSCylqFauIN4HEXIpCpoQkSXhCLkq5Mpqm0zpg2Y5M02T+3CJPfPU5Ai1+pk/NothU+jd04/RcHHO/bEs//qa7GX7tHNVSlfahVgY39b0ttoiJiQnsdvsSmvGNevzxxzl27BgPPfTQW37cnzedv0adPXuWYDC4VIjDm9tVPvGJT3D11VfzT//0T3zmM5/5DzvPS7qkd4LeUQU68IZt4rfHg65pGkeOHKG9vZ3m5mZqtRojE1FmIxk6WgNLvPN8oUKuUCaT11gx1MWZ8QTHnzpLLl+mrcnBhpUttIZDeL3eH1m0/7B++HZVlXn/7et5fPcpZhdSNLT42Lyll9tuWEWwjjvr62ukpdnH3HyKUNCNYZgkUwVWLm+lVKoSi+doDvtIRrKAgM2mUCzXKBYriKKILIk89OABxs9FaWzyIogwP5/moQcP8KnfugFn3VaTShXY9b3DnDwyQ7VSw+Wxc90tq7nyugt3DTRN48SJE/T29i4NIm3bMcS2HUMXPLd1l3Vx+tgMc1NJXF47DS1+ip4yPf1NrN/ay6YrBsikiqh2mXKxitNtI9TqZ3EqiaEbROfSlEtVWnsbkCSRXDxvDahGszS3B/D4HUyNLLIwFee7/7CHhakEidkkuWSexlY/TW0BdF1ndjTCiz84wrs/dhWFbImRo9PomkH/mnauvPXixccb36sbP7yVgbUdTJ1dQLEpLNvYhTfoZuzkPNn6AKIn6KKhPcjM8DyVfI30fI7OVR1suXE1T//Li/gbvQSa/dQqNRS7SrlQppAtEp0tUcyWEEWRg0+fQASGNvchSiJzw3NUy1Xy6SLugItCuki5UObUyyOc3jdCdCqGYlMYOzzByRfP8LE/+jCrrlyGJInc9LGrWXfNChanEyyOR5k4McXXP/ctVmwf5Mq7tgLWUOK7f/NGdv7fp1gYW7SwnIPtLN86wN7v7aepI4SoShiGRqVQIzoeJzK7iNNvRysZuIJOpJxosdQlEWfARVNnA2OHJ6zOsADZRJ5SqYQoChTSlj1DlEQMzRrEjE3HaV/WiqpaBUYw7GdxIsrBJ48xcvAcJ18axuZQ2HrbRg7uPk5iLondbadWrlmBRDWNX/jd97LuXavZcfe2pe6hYRicfGmYkdfOEWoLIIgCidkUnoALez2JtJAt0dDuRVIkUpE0Lp+ThjZrEFmraqQiKQrZ0hLiUStrGIZVzHcsa6VcrFAuVLC7rMTPYrZEdDqxNIBqc1rHGT04gTfkpqmjgVqlxtiRCeKRJIIk4AtZCxNJligXK5RyJfY9cpByoYKhG9jdNjZct4YP/vYdnHzxLKZpsmxzP3u++wqlfBl3wEW4qxFdNzizmEEQRVw+J5VihZphBRy5fC5cXgeO+mC4IAj4Qh5GD43zl7/6VWuBJQg0dTXwwc+/50074809TTT3XLyQfytVLBaZmprisssuu+gaWS6X+fznP8+99967dL25JHC73Zw6dYr9+/ezZs2aJUvLG2WaJqtXr2b16tXMzs4u/dultNCfA10KKvq50DuuQD+vt4ODbpomJ0+eRFVVBgcH0XUdTdOoVDV0w0R5QxdcVkQy2Ryhhh4SBRuvnkximgqq08Z4pETFSHOTx00qNUUulwNEZhdrzCyUkBWFjWu62LF96IKQnjdTS9jHxz68jXgyjygKhAKuCy6gdpvChz6wmZ2PHWV2NoUgCqxb28F7bl/H3FwK0wSXx4bH5yCdKCCrEnrNIB7L093TgNtjY242RUOTB7vDOpfmFi+LCxnOjS7S3hFk95Mn2bdnmMWZFF6vg5Y2P4V8hR88dIimFh/LVlm84VpN4+iR4zgcDrq7u3/s8+robuCue7by8gvDRBcyLFvbwbYdg0uPBZbdZHBVG8f3T1AuVfGE3FTKGk6Hgt2pkstX6F/bwexotB6JLpDNlAi3ByiXqjS3B9n98CFmz8Vo6QyRnEsiSSKZZBG3z4nLY0NSJI69NEpTR5Dd395PcjFrdUoDTt7zq1ez8eplF517pVRl5PAkuqbTv7aLvlUXFi7bb17Nk998hZnRRSRZxFRF+rd1snXHGlxeJyu39eP2uzj20gjF+pCwalcJ94aZOTVjdZVrOjanja5VHcyenaNaqZFJ5AiG/XgaPMTrFI18ukgpX8LQDCZPzqBVanSv6cTutJCdixNRnv6nF1hx+SDD+8cYPzaFzWkjny7y5NeepVquIYgCJ/ac4eSLZ/mvf/8ryIrMqiuX0bWynYkTViBR79oukgtpDj9zglpFw+9zYZomvoAXsVtAtalUUlVku8ya65czfnjSKlK9Kg6XA0VRlgrebCKHiUm1bAUKmYY1jCoKAq6gG3fASWQ8SrVYpZgpUsqVQQBDN3nkL58gHc3g9DooF8o88pe7KGbL+MPWELZe06nVdIqZIslFa5jz8O4TKKrM1ndfxg2/vIO7PnMrj/7Vk0ydmsEwTHrXduLyORl5bZyO5W1LRUp0Oka1VLG47c1+RFEkMZ9Cdag0dYUwNINsPI/dZau/pgWyiTyaZl2Xzn9MBVFAq2lI9WTOfKqA3WURZdwBV52qo2J324hMLKJXdJLzKRAEZEVCViW0qk4xV0K1KzjcbhDgB//3aT5z36/z0Xs/QDaWw+GxUylVefLrzxGdjqPaVYukY0JLdyP+Ji8LE1HyqQLVioVPjM0klpjtAPlMgXQ0g8vvpHWgGUM3iIxH2fm3T/GrX/5FopNxZEUi3NP4HzZAODIyQktLCz6f76Lb/vqv/xq/38/HP/7x/5Bz+XmQaZo0NjYSCAT453/+Z2699VZaW1uBC5GJ579HtmzZQqFQuODfLumSLuln1zuqQH+7LS6Tk5Ok02m2bdsGWIM0AF1tQTwuG4l0kZDfiQnMzMXxuW2sXzPE331rXz20yLJJhPxO5qNZTCXAlnWrMQyDbz70Kq8eXcA0DAxD5+zoAvsPnuKmq3vx+Xw/ttMuigJNDR5+lNpa/XziV3YQT+SRJIFgvYiXZZFgwEVkMUvPYJiJkUUSsRyqKrN8RQt3fWAzum6FI4lvOKYgCJimgKbpPPTd1xg5u0Amnrc476Uq0WiOzq4Q8zNJThyZpn9ZMy8+e4YXnj5BOpVl5ZpeGgJxunrffNjMsuMI9A010zsYtmLcJfGi5y0IAnf+4nZCjV5OHJzANE1uu2crV920ipeePs3ep04iCAINrT6iM0nymRIOF0TnUggIbNwxxN7HjuELupAVCdWuUBQsL2apUEHXdBKRLKWSxj/+/qOYukHvijYUm0R8PsP3v7qHvlVt+Bs8FHIlEgsZMrEs3/vr3cRmk5imib/Rw92fvpl1V71eyG+4ehkev5OTBybIZfLUpBy3fvAaWtou9MNfdcdGdv3TXmbHFusWCZkr7trC+PFpDN2gbbAFT9BNYi5Jqe5vJgxNnQ2kI+l6YqheRwEGkFWZ6HSMfDKP3WENa5omjB+b4sEv7eTAY4epVWoYhmFRYFw2wnWmeqVU5fS+EU7sPcPgZX0cffYkmXiO9qFWlm3pR5IlWvvDbLl9I688+hrTpy0qhrfByy/83l04XDZSi2maOhtpH2rhm3/4MIefPk5zayO6oVPIFnAFHeTieSolHVESUO0KgWYf0akEXcvb8ATc2Jw2qpUai1NxIpOxuo9bQKtqiKLI4mSUtqHWpRkJraaTWrR8+dmEhYWUFBFd03n8H3aTWkij2BVMw+CRv9xFfC7JR7/4AT72Rx8iOh3H0A3C3Y0c33OWg08dY/9jhzABX4MX1a5w48euYX5skalTs5iGSc+aTuwuGxPHpmgbbHlDMR+nmCnWPd4qoigSn00iKRLeoIdgc8Aa+tQNXD4noiRSKVaZHZ7HMEwcbgeGqaPXrM/j+Y5/pVSlWra67m6/y+K+1z8nyYUUu/95D9/78mNEJqKoDpXL79zEzb9yLYeePk4pX2bdu1YRmYxSSBZweBz0rrGSN6dOz7JsywCYMD8WwRPyUCtX64sHO+GuRgRRQBQlgq1+xo9P85e/9lXyacsD37m8nfd86sZ/dyjRv1eJRIJUKsXll19+0W3z8/P82Z/9Gbt27bqEAnyDBEFg1apV7Nixg0cffZTNmzfzF3/xF9x1111IknSBF71UKvHoo4/yuc99DrjQp35J/3klGNbP232MS/rZ9I4q0N+ot9rikkgkGBsbY9OmTSiKQq1WW+KdNzf6eNf2QZ568SzTC2kqlQqSYPLBd2/BMC1Si8v5eoiHIktgQjprbd1H43lODkdpCHrw1r2cuXyFVK6EILnRNI2Dh88yPB5H16GzLcDqFW2Egv5/sz1GFAWaGi8s4j1uO7ffuoYf7DpOIlnA2+Cmq7eR669bwbp1nYiiNXDa1ORhbjZFc6vlk40uZgkEnMiKxNRknOYWH6n5DKZsdfMKhQrlcg1BENBqOnt3n+ax7x2iUikRCPoYPjlPIprnE5+5nmCdxQwwP53k6UcPM3ZqHpfXzvZ3reCK61f8WH++023j5rs2cuOdG5aeJ8CyNe0cenmUyGwKX9BFuKcBYyKO222juT3I5TetYt32Pl5+8oSVkgk0tYfIxvNUylVK+TKxuSIIAk3tAWaGI5iYJKJZWrtCNLT6iEwnOXdilmK+zN6dR8inSsyPzIFp0jHYjCiKJCNpvvNnu+hd1Y436KZSqpJazNAxEKZ/bQcHDhwgGBy8qDgH2HbbOnwNbo6/NEK5WGVoQzcb3rWCb/7RD5geXsAbst7P9qFW0tEMhVTBooWUa6y7bjWZaJbEfJKmrkZCrUEi44vEZuIU0kX0ejx7pVhBdag88Y/PLjGri7kSixMxKqKAaYCh62gVjUqpyvE9Z3j0r54kMh4FTCRZYt21q/jl//NBFJvCdb94Jf3rupk6PYuiyoR7GomMxzAMg5WXDy1ZQa798OXMjSywOBEDE0RZYuO71jI/FqFYLKGbGqGWILVajdh0glgkgegUqOoVCskS3gY32Xgeq3VuYnfaUB0qhWwJ0zDI1BndpmkV8PG5JGAVJ7puIAoC0ak4obYAtnrATj5d4MCuI1zz4cs5d2SSyZMz+Ju8bLltI1Mnpy2ueLmGCWTjOUKtAa7+wHb8YR+LkzF0zaC5t4kju48zcXyafKqAy++klC+TjedwB924A25yyfyS5UWSJQRJoGOolfZ6QV9IF5kdi1ApVZdY65lYBsM0cXkcNHU0kFrMUMqVkWUZxaYgCJBL5ckl8yg2BZffia4bHH76OJIi4wo4KRUqPPHV53j3J2/kt77+6xiajmJTeOX7B3ns754mtZjB6bGTjmVxuO2sv24VW27bwFP3P8/kiRm8DV6GtvRzet8Ihmki1cdUtYpGYs4KtGodaMHQDIZfO8fOv3maj977gbet62oYBsPDw/T19aGq6kW3/97v/R633XYbV1555dty/J933XvvvUxPT3P48GHuvvtu7rjjDj7/+c+zefNmDMNgenqar3zlK0iStMRiv1ScX9IlvXV6Rxfopmm+JSv+crnMsWPHWLZsGV6vF03TMAxjKYwI4Lrtg/R3NnDk1CQzM9PcdM0mhvrb0TSdgNdBJJ7D7XwdnSiKAo1ByyeeTBcpl2sXcIXdLpVUpohi82BKEgdPTpDJW19KM4sxFmJlNq8NUioWkCQJr9dLpSoxN19CFBUGB5pZsbx1adv8R2n5shY6O4JMzSSRRIHurgZsttf/bBRF4s73b+K7397PYsSydwQCLt7z3g1IomhZLWwKwSYP85MJJEXE0A1y2dJSF/zZx49TrVVobg3g9rgxQibzMylOHp5m+zVDHHplnNf2jXF83zk0TaehyUMpkuWRb+xDq2m86/Z1P/E9Ol+Yn1dXfxO33L2JvU+eJJMq4vW72PHJNVxx/QpsdmWpaFi7rY89jx1Dki0+tC/so5DKW/YBm8LA+i4cLjvzdVpILlNCqxMtBAFmz0U5sPsUoiSi2iSqpRqIAoVsCX+Dh1CLn+hMkuMvjSAAz37nVXKpAg63ncHt7fRuDtPf33/R8zFNk3y6wMD6blZuuxB1uemG1cydizI/HsXhtlMoVhncMkBrd4hqsUrfui6233EZT3zteQ49faLOGxdo6AgxOzxPMVemULfO2F02AmE/kYko5aLFyVftKrLNYnxnEzmy8Ry1qoah6Tz3wEv1Qqx5KUDn8DMnWL1jOVtv38jcSIR8usjKy4dYOLfI33zyPrIJy2/v8jr40Bfu5PL3bqK1v5lPfOWXOPniGXKpAi19YfrWdfN//9t9ZCez9K3qRVUUyoUyje0WLz2/WEQ3DGRVpHVVI5wxsXtsyJKMv8lLMV0mf7LA/8veeYfHUZ/b/zPb+65677Kq5d472MZgeidAgBAChPQQEm5yfwEuuTchuaQTSAhJCN0xpgQbg3Hvtlxk2ZbVe11pV9v7zO+PkdYWtsEUk3Dtw6OHx7szOzO7U873/Z73nM66bsSYhCSJ8gyCSkE0HBuxD5Q90FUapdxYrFTgHvTKU/sqJeFAmD9//wUG2u3xrI/tq/bgHvKiN+pITLfJfuiiRMgX4uiuBqxJFo7uqEelUTFl6QQmXjielkMd1Gw4jLPfhVqrIr8qV9bNl2bK4U7hKHqjjtbadiKhKC67G0uyGTEq4ugbRqkQSC9Iwdnviu+7RqVEoVIS9AVlP3VrItZkM4PdDgKeoDw7oFLKdpjeACqNCkGhIS0nUT7fzTA84Gbzip3oLXoOrKtFjIlMvKCS2VdNp3ZLHc5+F+YkMwuun0XRpHwEQeArP7+VkD+ESqPC5wrwu/v+TF/zAEnZCcQiMfpaB1CoFORWZMd98JOzE+mo66KvdYCMwrQPvX4/Dka9y0+MqB/Frl27ePPNN6mrqzsr2/48Y7RPq7y8nF/+8pf87ne/49133+X111/n9ddfZ968eSgUCtra2khJSeGvf/0rwHlbxc8TzmvQPxc4Z6+m0RvJaHDQx4Uoihw4cICUlBSys7OJRqOnDCMSBIGMFCPtOg8zLpkef2ioVEoumD2OV9ceoq3bgVKhQJQkxpdkUDry4EpJNKLXa/B4g9hGkhc93hAGvZpEm5FVqw/iC4TJy5YftP5AmF67n8SUAkqLUvF6vezb38Ibbx3B4w4SE2OolAoqK1O45KIybDbrB1bajUYtFWUnux+MIr8gmW98ZynNTQPEYiKFRamYzTpcw34sVj2Dgx4ychPxuoM47V55GxLMWVRK2fgsVvx9C1qtCpNJrpYrFLKVhd8XYt0/D7F1Qx0ehw+Py49Ko8TvC5OVl4RjwM22d48y/6LxDA952bWpnp6OIdKybMxcWEpmbtIH/naTZhZSMSkXx6AHs0WP0XyyL+zia6YQ9Ic5Ut2G2xmmoDKLpddNZajXxbuv7iM5MwEAk82Ao9+FWguhYBjXoNxM6h32Ew5HyS5MHQmKkX9ft1PWsdt7hnENelnxm3fxu/yYbQasSSbcw142v7KPrLzL4udRLCYiCNB0oI03n1hHV2MfOoOGuVdP55IvL4qTn6p5JUgS7F5bg2vQQ9Wcccy9Ygq5pWN/w2nLJlC3s4ne5n6MNiPeYR+5lTmI0Rg9zX0kpFvJKEwnEoow0DGIZ8hLRkEqKrUSS5IJR6+Lwa4h2dBGEOSGU7cfjVaNQqGIyzfCgTDHdjdybFcjtVuPEQqE0ek1suWjKJGUYQNBYLjfxcs/fY3KOSVYUy14HF6ySjLIHpGkiKJI5qRkhvoc9DfbZWIdjTH7ymlMv3gijdWtgOw243cHePahFVjTLAhKiEYi+Hw+lBolfk9QdvRRCKh1KgTkgUhiRkLcacVld9PT1Ed3Yx9iTH7SiNEYSo2K3uZ+UnKS4h7m3Q09eJz+kWZd+fpXa9UgwLq/baa7sY9oOAoSrHt2C7f++Fquf+ByZl46BXvnINZUK6k5STz57WcZ6BgEIOQPI8ZEknOTKZlayN63D9LT3IegkJsuvU4vSZkJ5JZnMTTgJBINE3JGcPa78A370erVBDxyZX40GVStU+N3ybNykiRhSTThdQWwdwyhVCow2gyoNSrsHUOs/MU/5eq9INB2uJOpF03gvt9+Ca/TR2KGLd4YOgrtSHHBkmTihh9cyT+feAd7xxAKlYK8imyGepxxnbp8jSsQY9KIPeOnj1AoREtLCxMmTDjp/i6KIg888ADf//7346Fw5zLe39g5KgWVJIkFCxaQmJjInDlz2L59O2+88QbV1dUkJCRw5ZVXctdddzFlypT4bPF5nMd5fHo4p66oE29Co5rDWCx2Unf6R0FdXR2SJFFRUYEoisRisRH99tivVhRFDh06FCfyJ2JyRTZmo5aauh58gTCFOUlMrcpBM5IMmpJsZtbUfDZtb8TnH2bUi23OjEIMBjWDDh8263FybdBrGBzy0TfgpnxcOgaDkb37+gEVpaVyE+Wwy0drq5eOTifDw04cDjf2wRBKpZa83GSKi+WmqjORxwDo9RrGV409LqvNwIVLK3n37Vr6+tyYkoxYEo1MmJjDvEWl5OQn0dPTg9GsxO2UECUJhSAQ8MuVPotNz8a1RzCZdYihKE6VEq1Wg9cTJOALodVrCPjDdLXaWfHMNvp7h9Fq1TQc7ubIvg7u+NYSsguSx+xT05FuDm5vIhgIU1yZxdQFJaRnJZz+uAxarrt7IYuvmULAGyI5w4pGq6anbZAd644y2OcmKc1CTlkmXncApULA7w6QWZjCdV+9kJ3v1Ma/P6PVgN6swz3kJRaJ0ds2iMfhQ2vQEA6G8Qz70Oo1aPRqlEHQBDTUbmli2qIq1q/YRe22RqLhCL313UiiiCXJjM8V4K2n1iMIcNk9SwD5PJ+4oJQJ80sQY+KYkKITMW5KATd8/zI2r9jFYLeDvIosFl4/i86GHras2E1uxUjzbiiCRqch5A+NOJzE0Og0FE8poP1IJyq1ClualcyiNI7ubCDkC8mV9SEPIX+YcCjCzjf2ISgEkjITSEi30t9ux9nvIiU7SXZfiYkYrHrcg172rDlAzeajtB+WmzBTc5L4wn9egzpJoGhWHlNnT+HI9gaCniDFUwqYvKSKgDdAekFafJYpHAxTMqWQhupm1DoNsUgUq9VKelYaA52DSCP/GRN1DHY48Q8HUZtVaDRqlGqZ+GsNWgLeYPz7E5QKQCISkuVZHocXBDBYjbgGvTh6ZJnMaPiSoBBoPdSJwaLHlmpFkiScfcO8+svVTF4ynlg0RjgYQRJFzEkmJi8Zz9/+8xVCPnmmQlAoKDeO46pvXcLsK6bRcbQLvUVP0aQ8nvrO3xnscpCSmwhqCaPGiLdvEHOSiaA3SDgo97/EIjH0Fj2WJBPJWYn4hv1EwlH8Hj++4QAhf4hoWD4er8snhy9JEkarAXOiPGD2ewIc2lzH5MVV9Lfb5cCpihymLZsQJ+bvP6++8eRd9Db1odap0Rl1/PG7f2egbZDUvGREUWSwa4icskwyCs+Og0tTUxOJiYkkJZ08SH/uuedwOBzxtMtzHaP3pz179uD3+9FoNMyZMyf++vjx4ykrK+OrX/0qTqeTvr4+xo0bFy+onMfnD4Ik/53tbZzHJ8M5RdBPxGhM8SfRoXd1dcWTQgVBIBwOn7aS0NDQgCiKlJWd7OoBUJyXQnHeqZsiAS6/qIqMNCu1R7uRJBhfnsH0SXlEYyJ6vRp/IBxPF42OVKXMI1Uuh8PH4JCXBNvxBrEEmwmvN4Jak0BBQQY7du+ms8tPNOqm+sAAxYVdlI7To1KpsFgsmM1mTCYzw84IwYBIeqaNjBFv5g/CrNlFZGcn0Nw0gCAIjCtJI2MkodPn81FfX89VN81mzcpaejocIIBSoWDi9HxSM6wEAxGSU81EQ9GRcYksSwqHo/i9IfLHpXLkQAcDvcNk5yXFK7ddbYPsWF/HDXfNp6/byZH9HTTUdMqpoyMDgepN9Rw70MEXv3vRh0p9EpLNJJzQaJuRl8Tia6aw8Y2DdLfaUaqUzL50EnOWVGCy6skukivNQ30uDm1vxOcOYDDryCzJJLC/FUkU8Q6HMFh0jJtWSF/LAGq1Cp8nyJB9GLVWid6gx+cK8NL/rqZuTwtGq56hzkEcvcMkZNgwWg0YreDsd7FtVTWLb5nLnjU1VL9ziEgowoSF5Sy8YRZGq+G0xzV+XimVc0sIB8Jo9Jp4Jbz6nUP0tdmxpVgIeOW0UXOCgaAviEanZs5VC8kuzeLFn7xKWr58rACJ6Qn0NPXS12ZHZqoCGq0a95AHtUZFTlkmgiBgTjCB1I/f40eSJDwOL7GYiBgVefMP7xL0hbClWFAoFfQ09/P095/ngm9PZ/4F89CqtBRU5aE36ehvt/OHb/yVhn0tgGwleetD15GSncStD1/Hrn/uo2FvM0argcmLq2g80MKe1QfJHdkPACmoQK3y4Op1o9KpCPpCKNUC+kQtepsWMSJr6ZOzEuhtsRP0BOk41k0sEpMl7lERjU5N0BeSA4kEQXaWASLhCHpzAgGPLBky2Qy4htw88Y2/0lbbSTgYRqVVUzGnJF5ltySZR6rNEu1Hu9j15j5mXzEVv1tOSTXZjCy78wJeffwtWmrbAbBYzVhTzRjMemwpFhy9w4iiSCQURalWxoOTTAlGYjFxxOUFEtNtuAc9SJKsFVdr5UChkD9EJBTBYJZtFIe6Hfz9oRWII6moO1bt5cB7tXzlF7eckqSrNaoxtoqX3HUhb/95A92NvQiCQFpeCpfdu/S0g8dPApfLFb8vn+q9hx9+mCeffBK9/mRv9nMJo44smzZt4umnn+all16Kv7dw4UJ+8YtfMG3aNOB4QSsjIyPuJX8qR5fzOI/z+PRwThL00Sm9T2K16HK5qKurY/LkyWi12jHk/P1Tqj09PfT19TFz5kwkSfZAN+g1J+miPwhKpYKZU/KZOSV/zOsqlZJZU/N5e/1RevvdaNRK3N4g+dmJlI8EqegNGjQaJaFQNO5LHo3KcgmjUcM77x2hs8tJdlaCbCPoDtDdG2Xpkioy0g243W4GBhy88sI+OjtcRKMSBoOGCZMyuezKidhstg+stGfnJJKdM9atIRaLcejQIbKzsykpKSE3L4PaAx34fSGyc5Mon5BNYMS/3O0OkJhiJiHFzFCfW06nHPKRmGLm4mumsm3dETQadfx7FwQBvUFLd/sQjUe6WfnX7TgHPfQ2DRCNxkhKtZCem0jQH+bQrhYaajopm5xL67E+Wo/1otGoqJiaR1L6ybZsoxAEgZkXllMyIZuetiF0Bg1549LiRHUUk+aX0Hq0m5rtTTjtHlRqJQtvmEl6TiLr/7GXwvFZqLVqgt4gjr5hIqEIoVAIszmRoaFh0vKSqK9uJSU7AZ1Bi3fQjUKpwO8OEA5GiISieJw+hu1ufnn3M3Q39KJSK1EoFXQc66HtcBf3PH7LSUSoq76Hra/upr/NTm55FgtumE3yCNEqqMrhsnuWsOmVnbgHPWgNWi66YyEX3jKHkD8sh+AYtPg9AVJykuhr7SclOwlxRIKTlp8iO5ColGiNWvIqsmg/2o3f7SfoC6E36TBaDKg0qpFAohAKhRyUIygU9LUOkJ6fEg+/SUi30dfWh7ctxJon1nNwwxHEmETp9CKaa9robujFaJXdkQ6uP4LX4eOHK76NyWZkyRcXsOSLC+LHbUk2Ubejka6GXswJRrwuP9YUM9fdfxmthztoqWknOSuR2VdO459PvstgzxCWVBORSJRIJIwkiESjUSLhCBq9RpZpjJDW1LxkuSIdiWFNNuNz+fG7A/Q09SOO3GcUCgVKjZK6XU3YUizY0qwEfSFqNhwh6AuiN8kJnUgSKo1qZPC1h7eeWsdQtwNBEEgvTOUrP7+V6364nM1vbCcnK5fiSQU07Gth9z/3o8nRkJafgt8bxN4xyOTFVdTvbaKnuR+lUkEsJmJKMCLGRHIrsuKyGFEU4w2rQW8IpVrJ8IAbo9VAOBAhpAmRW5mNIAiERmRLe9fWYEow4uh1kpyVRPmsYlne8z5MvKCS/PE5tB/pQqlWUjgx7ySZzKcBSZI4duwY+fn5pyTgP/3pTxk/fjxXX331p77tzxNEUUSpVOL1ernnnnuYMGECTzzxBOnp6dx1111s3ryZGTNmcNddd/Gzn/2MxMTEeOFpVGt+3vnmc4zRBpqzvY3z+EQQJOnc+haDwWA8znjz5s1UVVWRmPjRrL7C4TA7duwgNzeXwsJCIpFI/Kb1fnLu8XjYu3cv48dXcazdzda9LfgCYdJTzCybV0bppzDFG4uJ7N7fxu79bfj9YUqKU1k0p4SUExxQXn/zABs21aPXq1GplLjdAbIybdx153yeeHKjHDJiPf5Aa+9wcMmySpYulqOvV//zIO+sqSUpyYRKDcNOPz5fkHkLs0hNl2/WAloEQUNObirp6ckfSNrr6urweDxMmzbtA3sANr1zhPVvH5a9oSUR73CApCQjU2cXMXl2Edn5ybzx/C42r60lOy95pNFPrqBPmzcO17CfzmY7CUkGDu9skYmgKJGdn4zJoqe3Y4grbp9DLBpj81uHCAUigIQ10cQN9y6ibHLumP2RJInOpn66mwYwJxopnZwXt+w7HSRJor2+D3u3E2uSiaLxWXhdAf7ww5VEw1GSMqzEIjEObq7D5/SSkGJGo9NQUJHF9GVVvPq7dWQVyUmkjm4HTfuakRBISrfhGvIQ8ocwWOQQGZ1RS9GEXDlG3idLUr7669uwJpuofrcWR+8wOqOGXW9U4x7yypr4EavA7/z5nriLCkDIH8LR78KcYMQ0Emz1frQcaue1X69hoH0QQSG7jVQtLOfNJ94hJScZvUmHQqmg9VAHHXXd5JRlkpBulXsKhjx4HD6C3iAKlRKdSUt6fgrNNe1Yky0YrXrcgx5CoTCxSIyCqjw8Qx6MViMKhcBgjwOPw0dGYSoanUwKw4Ewfk+Qrz9xJ437WzmwrhaVRsWsy6ey5Lb5aHQa6vc2s23lLgY6hkjKTGDuNTOonFt60rFtWbGTN37/DhqdeiQp1I2EhM8dIBaL4ncFUKoVmFOMODpdWFPMpBemxu8DXcd6cPQNE4vERqwaJaLhKGqdBmuymcSMBGKRKCqtGmefE0fvMJIoyb1VkoRSrYx73CuUAtZkM5Ik4bJ7yS7NYOn351CQn4/VYMOUaGSgfZDnHl5Jy6F2nH0uopEoaq2aS+9ZzCV3XUj12hr62+2k5aeiM2p584l3SMtLiZ+/va0D2DsG0Rq0uIdk//NYLIaAgN6sI60gJe4MBNB1rAdjghEpJiKK8j21ZHohtz1yAwbLv6Y63dPTQ3NzM3PmzDmJQNbX1zNnzpyR+/H4f8n+/btg1Bzhi1/8Ir29vaxYsSL+HExNTWXBggWsWrUKAI1Gw09/+lO+853vAHDttdfym9/85pTNt+fx7w23243VamXGFY+iUn/6A+QTEY0E2fPm/8PlcmGxWD58hfM4CedkBX0UH8cLXZIkampqsFqtFBQUEI1GiUajJzWFguyDXlNTQ15eHk1dXl579xAqpRK9Tk1T2yADQ9V89ea5ZKWdvlJ7ZsehYM70QmZPKwBOPd24/OIqtFoVe6rbCIdjTJ6UyyXLxmM26VCpFITCx6U+8gzD2GClmv0d6PVqDEa5Ap+apqGr0wmihXnzpvHaq3uo2d+GPxBGrYbiEjOl5Qlxj3az2YzFYkGj1tLc1EFnRzfzF8z90AbdBUsrSE41c/RQF7GoyLiKDCZOy0d9QqV6xsISave10dU+KPt3B8JYE4xMmJ7Pa8/twppoRKNVoVQqEEUJSYJgMIJWr47b6m1ZXYtKrSQpzQIS9HYMsfqFXRSNz0QhCLTW9+G0ezi4pZ76fW2yxZ1SQV5pOl/64eUkpJ7+BiQIAvllGeSf0GhrTTKx6OqpvLdiD51NAyBBYo6VqReXUFpZRGKalYqZRbK1nUnWrVuTzdjSbegtRnzDXoZO8MXOKc+mtaaNSDiKd9iPJcmE1qDB2R/j2O4mDm48irNvGIVKgb1dDtApmJCLSq1CjIn0t9nZsmInl39tGbWbj9J5rAejzcCUpRNOS84BCifk8c2nvhKv3GcUp+N3+dnxejXuQQ96k45oJIZCqSA9PwVJkuhrtWMw6Vh6xyKO7qhnqNuBNcWC0WJAQqLjaDdehxe/2w8CREJRBKDjaBfZpRnYUo7rzJ19LkKBCAFPAL8nCJL8+77y2BvYO4bQ6NSIosRrv16DvWuI2//rBkqnF1EyrZBoOIpKoyIWjbHplR3sf7cWQQHTlk1iztXTmXvtTKLRGLve3EfAE6B4cgHjpuaz4cXtpOWnyAQa8Ax7iQUkopEogz1DCCqBgCuEABgTZHlRwB1EoVSSnG3F7wrgdfrwu/2IMVk+o1AKcdcbpUqJoBAIB2RtuFKlJDEjCQHZbtKaYqazoYfqf9TyTvM2PA4fthQLl3xlMTOWT+LAetl9RW/SIigUrPvbZtILUrnkK4vjv1vAG+TQpqO0HGpHb9IRCUXjA72SGUUMdTsY6nYgihKMSJLCgXB8fTEmV9vDoQhFk/LjPQp1uxrZ9c99lEwvYrBrCGuKhbzK7M/Efi8SidDY2EhZWdlJ5FySJH7wgx/w5S9/+Zwn56MFqrq6OjZt2sTq1avj5Pzuu++msrKSlStX0tXVxfe+9z1WrFjB/fffz1/+8hcyMjKw2+3nyfnnHOc16J8PnHMEfbQ7HT6eF3pjYyPBYJDZs2cjSRLRaDSuZz8Ro6miRqORgoICVj2zSdZejuiYzUYt7d0ODh7t+sQE/cRjOx00GhWXLKtiyYUVxGIiOt3xaehJE3NYv/EYSqUCrUaFw+nDajFQfgKhVCgVJ81YSZKEQqVg5/Zm9u3pxGI1kJRiwzXsp6tDZNbsPFJStbjdbtra2mg40sfh/YN4XGGMBi3OfjWXXDUFs9l02n1XKATGT85l/Psq2SciIyeRO7+zlO3v1dHdPkR6VgKzLywjPTsBnV6N3xfCZNGRmp1Ad7OdaFQk6AsR9ofJHZeGVqcm6AuTWZAk74cAiakWhvrddDYNsO3tWhoOdeGyexjqGsJk1ZMzLo1YOEbz4W7efmEnN39nmVy5bxog4AuRVZSC0fzBVcRZy8aTVZRCy+FuhhxDqMwxLr1m6ZgehvT8FGZfNoktq6rxNPYjIZFenEZh5VQObDiKzqAhqyQDhUpJZ103QX+IcEhuEAx4gqi1aloOdeDsGyarJB1BELC3DyDGJLxOmcj73AFC/jB719bQ09xP3c5GWWsMbHp5B3c9dgv54092u/B7Ahzeegy/J8C4KYVkjUiqzIkmLrt3Kf988l26G/vispdrvrMctUaNs2+Y9ELZU12hENjw4nZZ/64QCHpCJKTbcPbLaaggodaqSM9PpbuhV7apHIE5yYygEHD0OJCQEAQ5YAig/XAXmcXpxz3MnT6q3z7Iopvm0LivhYa9zZgSTEy/ZBI736hm68pd8er1oU11tB3p5IsPXceFN89j/nWzCPlCGG0GwoEwR3c20tPUR3KOLOtx9riYsmQCqXnJ7F1zgHAgQmppCrlVmexdXYMlzUQkMkJuRQV+r5+gN4RKo5SJbVCeITBa9OjSbXhHfNA1OvWILWKMgY5BYlFZ86szawn5Qxx5rxGtToverMPeMciLP3mV1NwUlColSRnHG59dgx7WP7cVn8vPzjf2EYtEmXrxRK797qUcWH+YY7sbMdmM5Fflsm3VHsLBMGn5KbJMxh3A6/Ax6cJKNr2yUx706NV4nT4EQcCSbEGjk79jrUGLUqXk7Wc2sPHFbQS8ITQ6NaUzirj++1dg+JDr4ZOitbUVk8lEaurJs5Jr165l//79vPzyy2d1Hz4PGL3Xvvfee4wfPz5OthsbG3nllVd46623ANme8uWXX+aCCy7gRz/6EUeOHOHIkSMcPXoUGKtBP4/zOI9PH+ccQT8RH1WD3t/fT3t7O7Nnz0ahUBAOyw9dpVJ5EkFva2vD5/Mxc+ZMQMDjC6E9QQohCAKCQsDnD3OmaOscYte+NuyDHnKzE5k9reADE0JPBbVaOab6DLD4wnKCoSi1tV24PUHS06xcfFElaWnHq8JTpuWz+s0DeNxB9AY1blcAjUZFZWUW7649jFanxmqTq4UpqRY62ofoaHcxeYocENTd4eCfL7biGgphNGuJRCQ2rDmC3d5H5ZTUeJVdrzOSmGTDYDB8pMajzNwkrr9z3kmvT59fwruv72egZxhjohHTcIBoKEJCkomqmYUsuXYqHY39CApZKjQaehQJR1GqFRzd18GR6naSMywEXD5AIBiI4HH6sSWZMJp1HNndgqPfzcon19NyuJtoJIYl0cglt85h+ohE6P3wOH2E/GGyi1JJSDeyZ88epkyZfsoG40vumE9+RRaNB9pRKAXKpxdRMD6LgD+MvcuJbkTLm5qfTMfhLrxOn9xwCExdWkXr4U6MJzQI6016/J4AAW8Av0f+i4aidNR101bbQU5pJqZEE6Io0tc8wOo/vsfXfvcl+loHaD7YjkanxmQz8PeHV2LvHAJJQmfUsuzLF3DZvUvlJML5ZeRWZNNW24FSpaBgYl6coOWUZcaPbdFNc2k/2kX74S4kSUSpVjFj+SR5UDHgBDXkFGah1qjpaxnA4/CSkiMPpAKeAJZkM54hDyCAIKLWqDBY9XiGvIhiDOeAi6A3iDCicf/bf75CX8tAXPO++639eBxeDBYdBot8/vqG/WxduYsLb5mHvWOQxn2t6Ixapi2bSEZRGtfdfxlv/uEdepsHUCgUlM8axxXfuJjkrESW3bEIj9NLclYiQV+IrsN9OAdcpOakEAlH6Gu3o9GrUagUBL0hgv4gCqUCrVFNTBLJzE8iuySdaES2auyq78Fl9xAJSqh1KiLhCIHeAGqdGuVISieAwaynv91O57EuwsEI9q4huRdjRGLUWd9D32/scXvJd57ZSPvhLr7//Ne5/L6LAFn20N9m58i2Y5iSTCCB1+Glcl4ZV78J2VkAANT0SURBVH7rYlJykti6cjcep5fJSybgcXjoaugdc676hn2EgxEKJ+WTlJ0oV+o315E1LoMlty3gbMHr9dLZ2cnMmTNPum+EQiF+8IMf8Oijj35kOeNngf379zNjxgxisRgbN25k0aJFZ32bkiThdrvZsWMH/f39JCYm8rOf/YwLL7wwnoQ9Ktu8/vrreeyxxygvL2fu3LmUlZWdJ+efd5z3Qf9c4Jwj6O+3WjxTgu7z+aitraWqqgqDwTAmKfT95HxoaIjW1tZ4qihASUEKOw+0YbPoUSoUchiRIJD7ARZ/J6KlfZC/vrwLl8uPRqOmoWWAI8d6ufu2uSQnfjK7K51WzbVXTWHJBeX4A2GSk0wnkfiFF5QxaPdwqKYTz0AQo1HLhUsqqazKYs1bNSc1vCoERiqgMmr2tTE06MKWpCcpSSZY9n43niE1kydPofZAK+veOIi9z41Wr6BsQhKVk7LHyGPO1PLxRMy/qBK1Rkn11kYC/jCLrpjEouVVpJ7gQKM3akjNTqCv3YEt2UQsGsMzHGD6hWW0NfSi1anRG7QolIr4cXrdQWxJJkRRQqVW8vbzOzi6p5WkNAtqrRrHgJs3/ryZrMIUMgtSiISiDPW5EBSw4ZVdHNhYRywSIy0vmeL5aUyYU0ZCwqnPBYVCQeWsYipnjQ0smn/1NN54aj2djX2o1SoEtZoJiytJSbcSi4qMn1fKzEsn88cHXqD1UEd8vZS8ZJx9w/HEUIUga4wtyRYG2uz4PQFMiSYUCgXmRBNthzt577kt8SrsaFImkkR6QSoKpQL3oIe1T2+gcm4pBVW5dDf04rK7yS3PwvYBM0S2VAv3/up26nY14rK7SctLoXhKPn/50Uv09/QzrrIIrU5L0CdX1hGgp7kfJNAaNMy6bAoHNxxGO+JAY021EA1FOTbopbd5YEQbLcgyGQHaajvIGpcer/q2H+nE5/JjS7XEBzZKpZJQMMRzD/2Dlpr2eFX+vee28OWf3cKEheXc88vbGWizo1AqSM2Tg57cQ15qt9QRi8biAU/XP3A5r/5qDfYuhxzMNSGfgDdEyB/CkmjC5/aj1CgY6BjCO+yjr8OOKdmAWq1iqM9BNBrDnGgk6AuNJNpKI6FXsjVnx9FuBAFMCSZ5wO8KEAlFZFciQcA95EGhUKDSqNAnaeODpFAgTOP+Frav2k13Yx+9LQNkl2Sw8IZZJKRbObK9HoB5181k8S3zUalULLhhNvOvnxW37ty/7hAv/vdrDHYNYbQa8Dh9RMJRDBYDlpH+F4NZj86kpXZL3Vkj6JIk0dDQQFZW1imt/37/+99jNBq5++67P/Y21q5dy+OPP86+ffsIhUKUlpZy5513ct99930i+U40GuXOO+/82GYFHxeCIFBcXIxKpaKzs5O0tDRaWlpIT0+PFwlGjyshIYFLL72UG2+8kXnz5sXXP4/zOI+zi3OOoJ+IMyXo0WiUAwcOkJOTQ3p6OpFIhFgsdkpyHggEqK2tpaysDLP5eHV78ZwSOnqcdPUOA7J0o6o0k8kVZ6bl27qrGZcrQE6WHEYkihKdPQ72HmjnksWVZ37QHwCrVT+mUfREaLUqvnDrLC5cWoFr2E9auhXbSMV8/IRsNqw7StCsQ6tV4fHIVcHikuMJgYN2J9FIBJstNX5zV2uUBAIRHP1BNqxuxOcJYbXa8HmDHDvgJT9fgV4foa2tDa/XC5JAT7Of7hYPao2aybOKmb90PJpTuEaMQqlSMHdJBbMvLCcWE08aeAAYTDpu+cYSVr+wk85mmXTNubiS5V+YyfO/eS8u90hIszLQMUQ4GEUSRTzDfkKBMLMvqaJmayOWBGPcmSIl00ZP6yDH9rXhHPDw7su7cAx4GOyw4x/2kZKZgEavobGmja7WHhYunQvIZCMcjKDSqD7U+nHSwjIMZh0HNx/D6/RROCGX6UvHY7KNtVVccO0Muup76WnuR2fU4ncFKJiYj9fpxdk/TGK6jaxxGbjsbuwKAa/Lz6hIIBwKozfpeO/vWxBjIpnF6QS8QXoa+9DoNbKHuSih1ChxDbjZ9+4h3vv7Vo5sP0YkGMFgMbDktgUsu3PRaR/qQW+Q/IrsOJEXRZHMqcmk1qfQ32IHBBRKBbOvnMbcq6dzbFcjsZhI6Yxi9CYdLTUdaPXquG/3UK8TvVlHwBNAqVISEwVUGiXKkar1iS4jpkQTzgE3/W32+O8siiKCIHBsdxPWZDMGix5JkhjscrDy8X9SNrOI5gNt9LfbScxIJDEzgbodDfzpgedwD46koloN3PZf1zP7imncX5Ubdy/JH5/Dhue38u6zmzEnmUhIt+Fz+TEY9Sy5ZQF71x5kqMdBJBZEZ9JiSTXhGvBgzTYR8slFAaWgwNnrxu8Jo9VpEBQwNGKbqNNrMFoMBHzH9fgIjJB3P16nH61Bi9GqJxwI89wjK4mF5ZTUw1vr2PdODd995l6Wj+jV3+/IMqqJB5i8pAq3w8vWf+zCN+zHlmIhLT+Zvlb7mHUkUUKlOXvVVrvdjtvtpqqq6qT3ent7+fnPf85bb731sSu+jz32GA8++CCXXXYZ69atw2w288wzz/CNb3yDd999l1WrVn3skJ7HHnuM1tZWbDYbw8PDH+szPi5GCXdaWhoqlQqHw0FnZyddXV1kZ8t9A7FYjGAwyNatW5k7d2583c+ip+A8zh7Oa9A/HzgnCfpH0aCPask1Gg3jxo0jFovFk0Lff8MftQ5MTU0lMzNzzHsZKRa+/sX51BzrweMNkp5iYXxJRjyM6MPQ3TeMwaCJkxyFQkClVNI34D7TwyYYinDkaA+Dg14SEgyMr8zCMKLRPRMIgkB6upX099kPLlxURm/3ME1NA0QjMfR6NXPmjYsHFwWDQUTBg8GgJxIWUalkOYnXHWTanCIOVLfhcQfIzpMr69YEA93tQ7Q2uFmweCEgf7fPP7mBvVs6kSQ5EKq+tpO9O2tZcnUFVqv1AyvtCoWAQnH67zqrIJmv/Ogy3A4fKo0qnio6cVYRrcf6cA56MZrltEl7l2Nkn0RmXjSeRVdN4eCWhlPYZko47R62rzmE3xvCbNXhGQkpCodjGKw6DAkawh6R2u2N5JVn8e7z2+hq6MNoNTD3iinMvWLyaR+GgiBQOrWA0qkFH/i7TVhYjiAIbHttL0PdTipml7DoxllUv3uIHa9Vk12aIduOalR01HURDoTxDvsIB8JEQ1FyZ2RzbFcjmcWyhl2lVqFSK4mGIriHPLIEIxQhGo7y9p/WxwOJrMlm3ENe1vzpPXJKM6icV4bH4cVld5OUlYjfE+Dl/3mdup0NSJLEuKmFfOGHV+OXvCTmWPnWE1/h6I5GfMN+MovTqJxbilqrpmhS/vFvWJKYdvFEdr5Rjdshk2OVWsWkCytprG6JN1wmZSbicXrpru+Vk0xHLCWlEa13aCQcSxCOJymG/CG0+iTcDi9STESj12BvH+R3X/sLrTXt8ebXwgm5dNR14x70ykFJArjsHp576B9UzC5BpVEhSRJavQaVWsncq2fQWd9D84G2kdAnNVOXTWD5PUu48JZ5HN3ZQCwSo2R6EbVb6njt12+TlJSA3+gjGokx2O5EoRLQGNREQhEQAFFuIFVpVRRMyMQ96CHgC6FUKfC6/HiHvIQCoFQpCfpCeId9gITCFyKzMD0uAbJ3DrH+ha2UzSim+aDcQDplaRWZxemnPP8W3TiH2ZdPxT3kxZJspmlfCy88uoqhHieWZDN+t1zRn3ThyeT500AsFqOhoYHi4uJTBs499NBDLF++nIULF36sz9+6dSsPPvggFRUVrFq1Kr6Nxx57DKfTydNPP81jjz3Gj370o4/82fX19Tz66KP8+te/5mc/+9lnStBHC1NZWVlEIhGCwSCJiYnU1tby9a9/ndtuu43LLruMlpYWHnvsMQKBADfddNNntn/ncR7ncQ7aLEYiESKRCEqlkrq6OgDKy8tPu3xra2tcd65Wqz/Q7/zo0aN4PB6mT5/+qVcY/vbyTvbXdpGTmXC8gt7tYPmSyjOqoPt8IZ59fieNTQPxAUp+XjJ3fHF2vBL+SRCLibQ0DeD2BElLs5CVPbqfIvv27UOj1lKz28mh6va4B3t6lo3bv7qINa/up/FYH+lZtvjn2fvdJKea+faPLgWgt9PBbx55E7VahXmkyu9x+QkGwtz8tdmgjFKzu5XOliF0BjXlk7IoHZ9zXNv+MeQxALFojHWv7qN6cwNBfwijWce0hSUUlmdgSTCSkinLUv7+2Gr2b64nNStB9q8ecCMoBKYsLGP3usPkFKcSDoQ5tKkOURRRaVTYMgwYDQaG+70sun4GR3c1MdTnwpJgJBSQo96v/toS5l05dcw+eYf9bPnHLo7ubMRg1jNj+SSmXlT1kY+v7XAnz/54JX5PAHOSCb8rQMAXwGjWE/QG0Bl1zL1mOonpCbzwk1Wk56fEq6f1e5pw2d2otDL5RAKlWm5oVKtVjJtWGB+w9Db3s/CmOZgSjOx8vZpQIITRZsTvDjDU48RkNYAgH1d2aTrzvzaFGbNmYLFYkCQ+dCYhGomyf10tdTsbUagUVC0oJ+gLsvJ/3yKjMBWVWq5DdDf2MtjtRK1Rys4l4ZgsD0k00t9qJxKSB+uJGTYCniDOfhdag4ZoRH5djEmoNUpMCXLlW2/SEQqE6WvuJ+ALkpyVQCwqWw6qNCo8Q14u+MJcarccxeP0oVQpKZlWyJd/djNGm4Hmg+247G5Sc5PIrTjudBIOhomEohitBnwuP3/7z1eo29VAIBDAaDRiTjLhdfrILE7D3jVEwBuQnWPcASLhGAarHqPNgEqlwjvkY7jPjUKlJOgJII1U1UVRRG/SoVIrUWvVqDVqTAkGWRKjlB2pYlERCQlLook7fnIT4+efOmTtREiSxKaXd7Dt1d34XH50Bi2TFo/n0nuXfqgd6cdBS0sLAwMDp9Se7927l+XLl1NXV0du7umbzD8IixcvZsOGDTz55JPce++9Y96rr6+nrKwMi8VCX1/fRwo+kiSJBQsWIAgCmzdvpqCggPb29rOqQR/N/zgd1q5dy1e/+lU6OjpIS0uLmx84nU7WrFnDggUL4rr08/h8YtRmcdby//pMbBZ3rfnxeZvFT4Bz7kobrY6B3CQaCoVOu+zQ0BBNTU1xLfkHkfPu7u74g+JsTP/Nn1VMc9sgnd1OtFoVgWCEjDQL0yblndH6u/e0Ut/QR3qaBY1GRSQSo6XVzrYdTVy2fMIn3j+lUsG40pOrbC0tLUQiEaZMmcL48QLTZhXR0+XAZNYxfnIuJrOO/OJUjtZ2EY3EUKmVxGIiAX+YwhMkMkMDHoL+MLbs4xpTo1mP1xVAIerYt62JuoOyF7cjHGCwqxUxqiA1Zwiv14tSqcRisaBW6uhpchEOSOQWpVE5Lf8DiYNSpeTiG2cwe2klriEviWkWTKfweL709nkMD3rpbOwnGolhsulZesNMAn7Zbk8QBDR6DXqzHpdd9tNWCAoigRhqrZxe6ehzkVWYijBCbAe6HGx7Yz/Tlo5n5+oaDm6uIxKKYm/tx2V3o9aqEKNiXL+9+NaTm2Q/CPnjc7j+gcvY9PJOBrsdpOYmM++a6UxZOh6v04/epEWtVeNxeEnOTKCvdUD27o7G0Bq1JChtDA+4UKqVaA2akaZQOR0z5AuhH5mFkIC22k56W/rRGXWYEkwMdg3R32YnOTsJo82AGJMQFALtR7uY1jOBjX/bwZ41B4hGYky6sJJL715yWi27Sq1ixvLJzFg+Of6a3x1gz+oDtNV2ojfrCIciaDRqvvjQtQx0Oqjb2YA50cicK6fTUtuObzhAZnFa/N7QeawbQSEQ8AbR6jUjuR5RouHYiIWhfGxavQa1VoXbEWWw20ksEkOSQKEUEBQKtr66C6VKiSXZTDQc5fDWY6z4+Zt85Re3kl2SgSXJRHJWIgqF7Fu/8n//yfbX9hKNRCmenM8Xfng1d/z3Dax8+nXUMR0FZXmkF6Ty1x++RMATJHucPFM32O0gJSOZzKI09q07hKvXgyjGQBBQaAXMKXosKQZ8zgAIAlJMJDpiyanSqGS7SKc3/v1ljkvHYJalPQNtdt74/VoSM2zU721GEiVKZxTHXXtOhCAIXPCFuUy9aOKIzaKZpMyz05gZDAZpa2tjypQpJxFPURS5//77eeCBBz42Obfb7WzatAmQifr7UVpaSnZ2Nl1dXbz99ttcc801Z/zZTzzxBNXV1dTU1Jx1Pfeo53kkEqGlpYWNGzfi8XjQaDSUlZVx8cUXA7Bo0SIefPBBnn32Wbq7u+ns7GT+/PnceuutLFiw4LQp2edxHudxdnBOX20fJHEJBoPU1NTEKyTRaPS05NztdlNfX8/EiRPPWnx0UX4Kd948h137Whmwe8jNSWTOtIIxYUQfhKaWAVQqJZoRMqpWy37sDQ39sPzM98PtDtDd5cRo0JAzIkk5HYaGhujo6GDGjBlxOVDFxGwqJo7V3U+bXcjRQ120t9jj1f2snATmLDweHpOcZkFv0ODzBOMVdJ87gM6gYdjp49ihblLSrWh1atlru8tJS+0wl159BYJCDoxqb+5lxe+2MNDtQoyJKBQCeeUpXHXXLJJTEj+w0m5NNGJNPL0feFK6lfv+5zpaDncR8IXIGZdOYpqFhgPtctS9w4c5wUB2aQbuIQ9iTCToiqDRwbwrpiAo5W0KJ8hktHoNPpefN55aT/W6I2h0anwOL9313ZiTTGQUjoQX9Q7z3gvbmXPVNDrreziw/ghBb5BxUwuYetGEuNXgqVAxexxlM4sIekNojdp4tdpywnllTjRxy4+vZdWv18iNkSolUy+awPh5pbz4k9dJSLdiTjKhVCpw9rvob7XLMhKTFveQF7VGjXfYh1KpJGGEZJsTzfQ2DxD0hXDZ3biHvETCEWLRGNufr2Z4wI3OoEVQCGx6eQc9TX1858/3xKvho4iEo2x7dTc1G4+g0qiYfvEkpi+fhMGi57aHr2fHG3tp3N+KJcnMtGUTGT+/7KTfNyU3idrNdfS1DGC0GfC7A2j1GlJzkvB5AoRGpCJp+ek4ep1xG8tRKNWyjCbkl/XtCkEgPNIEHg1rSMpIkP+tVKA366nZeIRXfv4Ge1cfIOQPY021cNm9S6ndUseWf+xCo5VdXmq3HqPvK3/itl9fQ8WCEqZNmxbf91mXT2PLP3bSeaxbbpg1arngC/OYfeU0xs8v5+jOBtQaNRMWlrP6j+/R327HlmXBmhYlFAjS22BHkkClViDGYiiUSgKeABq9BqNFH28mFQQBc7KZ9iNdPH7nk4RGXKeMVgNXfP1i5l49/ZTnlSXJNOYcOhtoaGggNTUVm8120nsvvPACdrud73//+x/786urqxFFEbVaTVFR0SmXKSsro6uri717954xQe/o6OA//uM/+PGPf0xJScnH3r8zxejz6sc//jHPPfccvb298ddFUWTu3Lk89thjzJkzh3vuuYfly5fT3d2NXq+nvLwcjUa+f3xYBf48Pj84r0H/fOCcJOgnatBP1SQqiiIHDhwgJSWF7OxsotFoXHd+ujCigoICkpKSzup+F+QmUZD78bZhNunkSPITEI7EMFvObJpLkiS2b21k3TuH8biDqNVKikvSuOmWWZjNJ39GKBTi8OHDlJaWntJZ4URYbAa+dN8iDu1vZ3DAgy3RyMSpeVhOkN6kZycwdW4xO9bX4fMER/eKOUsqiIZjssZ3xNtdEAQsNgOOIS8el2yHaLVaqdu1H/dgiPziDBRKJT6vn55mF4d3t5NX6WKgx4G904tOp2fc+GzyijM/kjxGpVZSMnnsjEbxxBxmX1LF7nVHcDfbkZDImZTOlDmlJCQlUFCZxbjJeex9txaFUkEoEEar1yCKEh6nj6IJORzZ1Ywl0YQl0UiPPyQv548Q9IXQm3QYLHr8Lj+bXtnJhhd2EBixFdy3rpajOxv50k9uiEtTRhEJRajdUoe9c4iU3GSq5pd9oJSkaFI+3/3zPfS12tHo1CSPWOhtfmUn9s4hDBYd0ZD8HSRnJRAJR+lrGUBv0bP4i/M4vPVYnNwBGC16FEoFPpcfv8cvB0ZFYyAJtNV2kpqfTMJIr4PerKP1UCdHth3D3ulg/7pDSJLEpAvH03ywnX3v1sRlNjUbj9Dd1Ms1374UW5qV5Xcv+dDfrXhyAbf8v2t577kt2DuGyCrJYM5V03jv2S1EI7KLikKpGNGlhwkHwzj6hjFZDfg9AURRwppiIeD2EwlFEZEwmHRIguyW0t3URywaizdYqtRK1j+7BZ1Jj96sY6jbyfOPrMQ77Edr0IxU5wW0Bi2DXUOsf24rZo2Vl+9fjSXJxMIbZ3PRnQvJq8ymoboFpUpB2cxixk0tRBAEZl8xjdlXTIsfX8gf5h+/eJPhHjdqjZpQIIolwYLOrENrVDPQaifgC6FRazFYtcSiIh63B41Wg0qpJOgN4hnyojNoySiSZ7WGuh2sfmodBRNzGWizE/AGya/Mib9/tuFwOBgcHGTOnDknved2u3nooYf43e9+h8Hw8eV7zc3NAKSkpJx2VjQjI2PMsmeCe++9l6KiIh544IGPvW9nilE7xF/+8pf8+c9/5uKLL+biiy9m//79tLa2snXrVrZv3868efP44Q9/yIMPPkhOTg45OSfnHpxvDD2P8/hscU4S9FGczge9rq4OSZKoqKhAFOWGREEQTprekySJ2tpazGYz+fn5n9FefzxMmZzLocNd9PS6sJi1eH1hVCol06fmn9H67W1DrP7nQSQJ0jOshEJRDh/qYq3tENffNGPMsqONtYmJiSc1y54ORrOO2QtPjls/EVd9cTaZuUnUVrcBUDUtnxkLSzi4qwUgLpEB8PtCmG0GDKbjg4djBzswmLRxsmoyG/A4g4Q9CizqDNata8RpdxOLxTi4uZOJC7JILzbG5TGjfxqVjqEeN1qdhuzi1A8k7wqFguW3zaVqTjHdzQN09XQwblIOk6ZMHLPcxAVlHNhUx7G9rXE3kaR0K5MXlbPmL5vj1XutUYtCIcgJtiNe5353AINFx663DhAJR8kslklSwBvk8NZ6ju1pJqs4jQMbjuLsd2FJNFC9tobW2g6kkYj2cdMKuPdXt2O0np7QKFXKMbIGg1nPdd+7nNd+vYaBziEUgkDhhDyu/e6lBLxBXIMesksySC9IBUHgvWe3EA5G0OjUhEMRrClmuWk2HAOFTF5Tc5Loa7UTDh6f2dLo1EQjUd5+egNdDX2oNEoEQWDl42/hdfpIykqMR8u7hzxseH4bC66fTVttB/V7m9HqNUxZOoHCiaeXg1UtKGf8/DJC/rDsU65QMNTtZNPLOxAUAmqtiuF+NzllmVTOKWXnm/vwOLxy5fqmOex/rxblSPASEugtsruMa8BFLKJAa9DI6ZueAGqtGpPNKDeUIgf8dDf0jrjOyJaVADqjlkgkwtF3mxCjElqDluEBF88/8ioBT5BLvrKYyrknXzO9zf1s+ccuHH3D5I/PYf51M9GbbmD36v24Bz2Mm1aI1+lj79sHSctOIT0nVQ7Zqu+laGoe7Ue6sHcOojVqCIciBL1hBBXoEjSEQkFUKjWJGQl01vfw+6/+maA/jCRKGCx6Lrh5LotvnX9WK62iKFJfX09hYSE63cnFgccee4yysjKuu+66T7Qdt1tuwP+gWdHRAYDL5Tqjz3zuued499132b1792ciF1Eqlfj9fn72s5/x5JNPcvXVV6NSqbj11ltpaWmhurqal156iTfffJPf/e53lJeXc8stt5z1/TqPfzHO+6B/LnDOEfQTNeinqqB3dXXR19fHnDlzEARhjO78/WhpacHv95+yQenfDaUl6Vx/zTQ2bDqG0+kjKcnEwvklTJxwZjaPx+p6CPjDZOfINo8GgwazWceR2i6uuGpyvHoNckhTIBBg4sSJp/xeQkHZeUL7AfaIp4JKpWTO4nLmLB7b1Fs5OZecgmTamwYwGLVEInLz39wlFWi0x383k0WP2+mP/1uSJERRRKtV89ZzO/G6AmQXpiIIYO910XrQxfJrL0CpkfB4PLjdbjav2cOO1+vwu0Oo1SqyilO59muLyCnIOG2lXRAEcselI6qDxEw2xk84ualXq9dwx4+vpmbLMbqa+jEnGJm0sAytXsOmlXtxDflISrdiS7ehN+vxOn0j1ecASqWS6RdPZOeb+zGfIMPRm3QMD7hoqG7hrafei9vfuQZc+Ia95JRnoTfpCAfC1O9uZtNL21l+zxJ6mvppP9KJwWqgfNa4D5TIFE3K55tP3UXnsR4USgU5ZZknyVAAFt88j/baTlprOxBjcpPsvGtn0lDdjL1rEIVGQVZBBjqDloGOIQKeQHxdr9OHSq2kp6kPS5IJU4J8jOFghJDfiSDIvux+dwCQmyD/9qOXaTrQRmzEi3/ryt3c9MOrxlSWT8Rgt4NjuxpRa9VULSjHYNGz7EuLADi4/jDhQITCiXksv3sxBVW5LLl9AYNdDhIzEjAnGvEM+zi4/jDJWUmoNEqGupxodGqMCUbCgTDhYEQODjLriUaiY6RMgiCgUMkpqOFAGJVWBQh4nD4EAVRqNWm5yQhKBQpBYNju4r3ntpKSk8Tetw8ybHdTNqOYC26eh71riF/e+RQeh1ee9XptDzte28MPXvgGExYdD83qqu+hcV8LnfU9mKxG/J4ARpuBpV9ciN6k583fr6W5pp2EZA2Fk3Op2XCUWFQkGAwRjfqIhKIMD7qIhCPkVmai1WvxDvnZ8Pw2SqYWknuG9rEfB93d3YiieEpteWNjI0899RS7d+/+t7snDwwM8J3vfIfvfve7TJ069cNX+JSwdu1aLrjgAq6//nrguCa9sLCQvLw8ysvLycvL47e//S0//vGPmTdvHnl5Z9bbdB7ncR5nD+ccQQdGnAykkwi6y+Wirq6OyZMno9VqPzCMyG63097ePiaM6N8dUybnMnFCNl5fCINec0pP8NNiZDQ85qEngPi+UbLT6aSlpYXp009OxRx2+HjnjYPUHe5GEASqpuSy7PKJcUvDjwu9UcsXv34hW985QsPhbkxWPdPmFjNlzthgn1lLK3j16S0M9bvRGzS4h/0YzXoy8pLYv62JpDRL3HkkOd1Cb7uDzmY7E2cVYbVacfS7eWndFoioSM+yEAqFaT/ax4rfrmPWdUWoVCqUkgaFqCa7MJ3U9OQ4aXe73TQ3NzNt2rTTVs60eg0zlk1gxrKxr8+/agrrXthBV1M/CJCUm8q4aSYUkoTBqmfm8slUzi2RtecjsheQ9dmCINB5rIfelgGyxqWjUCoY7ncSi4oEPEH0Jh0avQalWsnhbceQgI0vbifglb3ss4rTufNnXyAtL+WU++zoG8bvDpBXmX1KYj4KS7KZ+353B8d2NeEccJGen0Lx1EJeeex11r+0hdzSbAxGPUFfCGuKGUmE3pYBQG4CLZtdQsOeJvQnNOiaE430NoO9y4E44gwUi4pIkkjNpqOk5CRhtBqQJImhbgf//MO7VC0op6G6hc5j3ZgTTExaPJ5Dm4/yj8fexOcOIAiQmJHAPb/8IiXTirjia8tYfOt8QoEwtlRL/D5gshkx2Y4Phq759nIC7iBtRzqJRWJYk82MX1DG4a11JGYm4hv2xyv/vc39BLxBopEoKrWKoC9ILBJDZ9QR8ofkGZSRCpdSrSIWidHfPkgsKlsy6oxahnocPPPgS/FZo5aD7RzZXj8SmOQhIU0O4opGYrQd7mTzKzvJH59D/Z4mdEYdU5dN4IuPXM/Wf+yiq76XvMps5l4zg5Jpstb6a7+/k4A3KPvxqxT8/r6/UL+3CUuyBZVKjbffgUqlIikngWgsSsAZIEYMd7+Pzau3s9A0G7PZjNls/lQrxeFwmKamJsaPH39KycUPfvAD7rjjDiZM+OSN76POE4FA4LTL+P3ygN9qPX0Y1yi++c1vYrPZeOSRRz7xvn0YRqUt4XAYvV6Pw+EgFAqh0WjGfG9KpZKqqiq+973v0dPTw8qVKzlw4MB5gv5/HOc16J8PnJMEfRQqlSreJBoOhzlw4ABFRUUkJycTiUQQRRGlUnnKMKLDhw9TXl4+Jozo8wClUoH1FC4kH4Zxpels2niMwUEPiYkmQqEIHneAOfNK4tXzcDhMbW0t48aNO8lWKRqN8eIz22g42oPZqkeSYMt7dbiG/dzx1dOH2JwpEpJMXHHzzA9cZtaSCoL+MNvXHsbvDZGRm8SyG6aTlGZBOVLBZKTiHouKCAoh3lQLULevFbfDR1puEgqFgMGkR6PW4B2MUlk8kW1vH2TfxlqC/hBqnZLiGamUTM/EYrHg9XpJTk5Go9HEm63OtOlq0XUzSMtN5ujuJsSoSMnUfKrmlpykK5995VTe+etmBjqGUGmUBDxB8iuzCXgC6M1y5DuASiP/XkHfcQejWCxGJBxl/XNbUKpVZBSlEg3H6Kjr5o3fvcPd/3sr7kEPLbUdqNVKMorSeO03b1Oz8SixaJTk7CSuu/8yqhac3rJUo9OMqeJKkkTapARy9mfi6B7GIQ2jUCmYfcU0pl08ibpdjcQiMcpmjSNrXDqPf+lJvA4v1hTLyPqgMWgI+8Mo1QpAQFAIaLVagiPuKzDS6JhoZnjAzZ/uf46WQx2II+mg7/xlI47eYURJIjEzAUkUGepx8uz/W8Ejbz6Aa9BDx9EuzImmuCTlVEjKTORrT9xJx9Eugt4guRXZDPU4aT7Yjt8dICkrgWgoSl+bnSnLJjDY6aC7caRZT6kgf3wO/a12bJVZDPe7CfgDaA0afEN+fC4/SrUKlUqJ3x3A5/Kj1qjQ6rWk58sDp2gkSvvRLgKeIJIk4ex3oRxpShVFiXf/tgm/K0A0EkWSYM2f3uPu//0itz9642mPSX+CPOyWh65l1S9X07hPlpNVzimlt6kPjV6LNdECSEQiUUKOKAaTIZ6mHA6HMRgMYxKBzWbzxy5qNDc3Y7PZSEk5ecC4du1a9uzZwwsvvPCxPvv9GG0Mtdvt8arz+zHacHm6JtIT8corr6BWq0+576NE/5JLLok31P/xj3/82HKT0c944IEHGB4exu12Ew6H0WpH/P9PuPdIkkR2djYPPfQQr776Kv39/R9rm+dxHufx6eKcI+inkrhIkkRNTQ1Wq5WCggJisRjRaPS0YUQ1NTVkZGTEG4TOBRQWpXDx8irWrztKT7cTtVpJWUUWFy+XA0gkSeLIkSNYrdZTNhi1NA7Q1jRA6ojTCoBGo6ThaC+93cNkZp865v7ThFKpYPHVU5h3SRV+TxBLggGlSokoiuSNS6O+ppOEFJPsjGL3kFOYQlHlcQ29OOILPWYSQSEgiRL7Ntaz5506DGYdtiQLHoeP9n0ups+ZjIRcgQsEAmzbto3OQ3aa9/QRcIUoGJ/Fsi/OZ9yE/NOSdUEQqJhZRMXMDyYBF9+5CJPNyO639uP3BJi5fDKLb5nLqt+spb/DEV8uOTsRZ6+TSChC0B/C7w6gUilJSLPR29RPRpZsi6fWqrAkm2ja38KON/byzjObcA26EQSBoC9I0BvCmmJBY9LT09THX3/0Mg++8A1Sc5PjYTi2VMtpK+sdHR1oLWruf/o+6nY24h70kJafQtmscag1KiYsrBiz/JyrZ7DxhW343f1Ikhx5P/mCSo7tbiIajaFQCiRnJoJCoP1wJ0F/GNPIACsUCBENR2nc10JSZgI6ow4xJtJ8sI2AJ0hWSQYBt0xg1VoV/W12Xvqf16l++6D8/WhUFE3O5ys/vyU+QDjV+ZVekIpCqUCr12Cw6Ln4yxfw3rOb6WnqQ6lSUjQpjxseuAKDRXZzGR5wkzUug8QMK7+++2kiwQjJuQm43UpEHwRUQbRGLdFQNO7HLokSCpViTL+ASq1CjIkjxxmLD8b83gAKhZKBjkFsqVasqRYkUcLR6+Sl/3mN3Ipsjmw7ht8ToGhyPgVVuac8D5MyErjr57cwPOBCkuRU3Vd+9jq73tyPQqFArVXh6HGSnJXEoqvmkZQhX8+hUAi3243H48HlctHZ2UkwGESv148h7BaLJe4Wcjp4PB56enqYPXv2Se+Fw2EefPBBHn300U+tWX/q1Klxe8Lm5mbGjRt30jLHjh0DYPr0U7vZnIjGxsbTvrdo0SK6u7v585//zMyZcqEhLe3jNdyOepWvWLGC3/3ud/Hn3G233cYjjzzChAkTxpDz0bwKs9lMamoqoih+yBbO43MPUTp5+vtsbOM8PhHOOYJ+IkZvXI2NjQSDQWbPno0kSUQikXhIw4mQJIljx46hUCg+E3usfycIgsCiC8uZOCmX7i4nBqOGvPzkuPNHR0cHXq+XWbNmnfIB7/eGiERjYzThWq0ajyuAN+7K8uFoPtbL/h3NeN0BCssymDF/HHqj9iMdi1anHqOZVygUXH/PQl7/23Za63qRJImSqmyuuH0OmhN08uMm5mI06xnqc5GYZkWMxXDaPYybkENjTQcqtRJbsuxYo8200d1i58juFrKnGJk1axYGg4Fdbx+kZvUeIuEoSrWCg5vqqT/QykX3TiOrMH1MM6pOp/tIMwtKpYKF189k4fVjZxJmXz6Flpp2epr7MVr0BP1hUvNTUKuVBNwBTFYDi784n1hU5Mj2+jHVNTEmIkmw+qn3CPpDZBSmEQ6Gqdl0FI1WhdFmQBAEtPpkBjoG2b/uELGYyPZX9xD0hUjMsHHpvUuYvHhskqTP56O5uZnJkydjTjCN8TA/HS6/7yKyx6VzaLMc9lQ1vxxrioXBB1/EmmyOV3wHu4bQmXS47W7EaEzWdgcjpOYm4+h1ojPKy43aHnocPgba5aAiCZAkEYWgYPMrO9HqZceacDBC3c5GXv/t29z+6I30t9lx9A2TXpBCQpqN/jY7Kx57g6M7G1AoFcxYPplr77+MBdfPonJeKZ113ehNOgonHffdf78e/oKb5/Les1vorO9GrdZgS7KgzEhAq1MTCUVxO7yoNEokUUKMSbJufISkRyNRIqGITNSjMsESFALRcBSlSraCDHqDBL2yrMlkM9LfZue/rn0cj8MLEmj0ahZ9YS7X3X/ZaXspEtJs8X9fdu9FRMMxju1uJOgNklGUxmVfvShOzgG0Wi0pKSljqsbhcDje0+HxeOju7iYQCKDVak+qtGu12vhs07Fjx8jNzT2lM8sf/vAHdDod99xzz4eeR2eK1NRUFi5cyMaNG1m/fv1JBL2+vp6uri7MZnPcS/yDUFxcfNr3RmVAWVlZH7jcmWD0s7785S9z0003EQqF2Lp1K2+//TaCIHDPPfcwc+ZMbDbbCcnUCvbv34/f7+f2228Hztsqnsd5/KtxzhN0URTjSaGj1ZIPCiMaHBw8a2FEnwckJBpJeJ8fuMvloqmpialTp5526jo7LxGTSceww0dCkkmehnf4MFsNZJ1h9bxmTysrntmK3xtCoRQ4tLeNuoMdfOnbS8cQ7o91XClm7vjeMhwDHkRRJDndetLDKT0vicvvnM9bf9tGf8cggkJBZn4y19x7AS/871qUqpMHdD3dvSz+wqUYDLIWesuqfSAJZBXKbiiSKNHbOkDErkJbbGD9c3toPtiJUiNQND2LSReUYkuwfWzSDlAxZxw3/uByNq/YxVDvMCXTCrngpjnklmfi7HORkG7FYNbT3djHxhe3Ye8YwpZqIRyK4HX6KZ6ST+exHjKK0uJWo0qVnBoaDoTRGrRy3LwAR7Y30FLTjkYva6V7WwZ44b9WkZBmJX98LpFQBO+wj4bWelJT0jiw5gj73q1BjElMvWgCC26YhUZ36kqqUqlg2sWTmHbxpPhrsZhIxZwSDm06Gg+5UigVXP2t5QwPuDi6vR6DRc+sK6aiEATWPL0BSZTiTZpqrQpBIeAflcQIApGQSEyUHVfS8pIB2VHFYNZxYP1hEKBm41FCgTB6k455185g75qDdNb3YDDpiUSjbHhxO65BD9988i6SMhKwpVjiVo2nw/KvLEaTqKChuoXC4gLGzytn0ys7qH77IFkl6WQUpREORhjoGKRqQTn736ulv92OSq0iHApjshmJRmLoTToGOgaJhqNy2BASIV+ISEguPPhcfrR6DeGg7OeempeMQqnA6/Sx8cXtVM4rQ6kQ6G8fJDkrkdIZRSfJqQBMCUZufeg6BrsdBH0h0vJTzigtVKPRkJSUNKbSHYlE8Hg8ceLe39+Pz+dDo9FgNptRKBR4vV7Ky8tPIo59fX387Gc/44033vjUnVEeeughNm7cyO9//3vuuuuuMZ//+OOPA7KM5MRBw/79+7n11luprKzkpZde+peE++zfv5/77ruPxx57jJaWFl555RX+8Y9/8Prrr3PgwAGuvfZaFi1axOzZs0lKSmLNmjU8/vjjPPLIIxgMhvOJoedxHv8GEKRRU/BzBJIkEQwG4417O3fuZPz48WRmZsZ156ci5y6Xi+rqaiZPnkxi4tlJxvs8IhKJsHv3brKzsz/UavK91YdYv6aWYEAmBgaTlsuum8rsBR8+GxGLifzm4Tfo6XCQliVXfsKhCEP9Hm657wKmzP5wDeinBUe/m5Yj3Wj1akom5aLVa3jrb1tZv7Ka1OwENFoVPneQ/p5BFt5QxfV3Lo/7fP/ntb8lFhWxnhDi0ts6wLSLqnD2u2g/2oPerCUSihKLicy+qorxFxTgdrvxer2oVCpMJhNDzW76GoYwmgxMvnA8RR9gITgKSZKIhqNycuRpiGL1OzX884l3GB5wo9KoqJhTQvmscaz4+ZukF6ahVCpkOdP2erxOH/njc9AZtXidPiLhKOYEI0FfkOTspPg2e5v7WXLbApKyEtn6j104BpyojUqSU1NorG45YQdh5uVT+PLPbv5Ig5CgL8Sut/ZRt6MBtU7N5MXjmbykSh5wh6MolAqUSgV9rQP85p6ncQ16sCSaCAXCREJyOJKjdxhRlOVLBrOemCgSCUQompwf3457yIPfHUSjVWFOMqEz6fE6vbgHPQR9QRIzEpBEuQE9FhWJRWPc9l83sOet/bTXdZGYbuOiOxYx64qppzw+t9vN3r17mTVrFkajPAjubuzjbz96mYHOQZDkqv+4qYXc/ugNNFQ3s33VXlyDsouLWqdm7Z83kFaQimJEetXXZmfY7iYajsruOSolsWiMWFREZ9CQVpAat6iUJImB9kFScpLwDvtGqu9KSmcUcedPb/5AC86zgWg0itfrZXh4mObmZjQaDaFQCJVKxVtvvUUgEGDy5Mns2LGDSCTCq6++elb243/+53/40Y9+xGWXXcYjjzyCyWTiL3/5C4899hjLly8/aWDw9a9/nSeeeAKQw45O59ji9XrxeuX01unTp9PV1cWrr77KnDlzUCqVp9SqfxT4/f4xA4c9e/bw/PPPs2rVKnp6esjOziYYDMaD5G677TauvfbaT7TN8/j3htvtxmq1MmfJI6jUn8yc4cMQjQTZ8d5DuFyuk3rSzuPMcM4S9Fgsxq5du/D5fCxatCieKqpQKE6qHITDYXbv3k1OTs6/vd/5ZwlJkjh06BCxWIzJkyd/KKmSJInm+n4a63pRKAXKKrPIKzqzh5DL6eMXD76KWqsa4/rS3T7EsquncPG1Z2ZbJooircf66Ot0YE00Ujox54yqfh8Gj9PH8/+7ltaj3XIglCCRWmTiG/91CwbT8Yfkkz94mcPbG8koSJFdNsJR7N0Opi0dz6FtDaRkJcT3Z6h3GL1Zx/ef/jI6g5ZYLIbH4+H1373Dztf2Ew7KA0qNQc38W6Yx+4opn6jSPoqgL0RvSz8Gi57U3GS8Th+/uuuPOPtdJGcnIsZEepr68HuCaEZmLrR6DQtumM2+dw8RDUfHNFT2NPWTV5lNf7sdhUIgFAsR9YkMdTtJyrSRmC7PoPhcfiLhKA/8/Wv0tfRzYP1hxKjIhEUVzL5y2qfyO9XvbWb1U+vobe5HZ9Ix9+oZNB1opXF/C5ZEuVJrsOppqWnHN+zHmmLBkmQiHIzgGnCh0qjR6NXxAQhA88E2/G4/Gp2GSCgKyBpxlUqJKcFEJBTBYNYT9IdQqVXc8ZMbmXnZFOC4jECSJHbt2oWz2YO93gnAxAvHM3FRBY6+YWo2HME16Ca9IJVJF44f08A5iuEBN7+592n6mvvRm3WEghFikRhiTCQlJ5nuRtlrXRAElGolerMOg1mPOdEU35eOum4UCtm9R2/WEfSHcPQOc/l9FzH1ogm0H+lCb9JROrP4A+03P000NTXhcDiYPn06oiji9XpZuXIlGzdupLa2lpaWFoxGI1OmTBnzV1paelIP0cfF22+/zeOPP051dTWRSISSkhK+9KUv8bWvfe2kbWzevJnrrruOiooK3nnnnVN6tQM8/PDDp3V0ycvLo62t7WPt62hD6+j/T6yGR6NRVq9ezfPPP8/WrVsZGBhgzpw5fO1rX2PZsmVjik/hcPhD+wLO4/OF8wT984VzkqAHAgEOHTpEJBLB6XQye/bs+I3o/RINSZLYv38/KpVqTHPNeUBnZyetra3MmjXrrN/II5EYj/9wFc4hLykZsqVZNBpjoHuYG+6az6xFZWfwGVFWPLmJmp3NcmVVoaCgNJ3b7r8IS4LxQ9f/0M8PR2k61MlAj4M+ZycXLp97UhWsubaTv/z4VYbtnrjMonB8NmUzCnnvhR1kFqbGl/V7gwS8Ie7/wx0kZ8kktruxj8e//CcUSgFLshlRlBjsGkJr1HDzTy9jsN9B/c4WosEo2aUZVC0oJzEp4ROT9vq9zbz2q9UMdjsQFLLf+WX3LqW3uR+f20/RpHwKJ+bx7I9XsOvNfaQXpKBUybrn4QE31lQLAU8QrU2FSqUm6hdpqG4mMd1Gaq4sI5EkiYGOQSYsrKChuhkxdrwhd9blU/niI9efcv+7Gno5trsRjVbNhEWVH+i2Mrodj8OHzqhBo9NQ/U4NL//PawgKBQaLPu67XjazmIMbjoxpEnUNunHbPSRlHScyHUe7cPQOIwig0csuPeFAGEGhwJxoIqPweJiVvWuIgqpcZl0xle2r9uAb9lMxt4Sqi0vZ8NJWjrzTRDQUBUF227n8q0u5+tvLz/h36m+zs/6FrTTsbSEhzUrl3FLW/X0zGr0Gk81IOBghHAgT9AbJKs3g8JZjGG0GVBoV7kEPAU8Qo01PVvHxBnh71xAqtRKNXovfHUChFMgsTuf2/7pBDqE6i/D7/ezcuZPp06ef9JAXRZHFixezePFibrjhBvbv38++ffvYv38/NTU1vPTSS1x55ZVndf8+LxBFMW4tDLIn+4oVK1i5ciVbtmwhJSWFG264gRtvvJHJkydjNBr5xS9+wQ033HDecvH/EEYJ+twlj6BSnWWCHg2y/TxB/0Q4Jwl6Q0MDbW1tzJkzh61btzJhwgRMJtMppS1NTU309/czc+bM85q8E+DxeNizZ89nKvnZ/t5R3nhhF2JMQq1VEvCFyS1M4Z4HL8F4iori+7Fn4zFeeWID5gQjRrOOcCjCQM8wF145mSvvmPup7KMoilRXV2OxWCgrO/WgoadlgL3rDjNs95Bbks6MZVW0He3mrw+/hi3FjG6k6bW/Y4jkzAS++4fbUY80q+76536efXgl6SMVeEAOjRlwcfW3L2Hzyztx9LkQxRgIUDAlm9m3TCQQ9KNSqeINeBaLhbA7irPXRUpW0hlFtIcCYbrqe1CpVWSXZcYbhE9Ef7udp7/3PD1NfSDIzWcTFlXS29yHwz6MxqQiKSmRoC/M4a116E16cspkpxyf20/QG0KlVaHVa7Amyxam3mEf4UCEb/3pK/S32qndWocgCExYKFeX33ryXYLeEAhgTbHwlZ/fQvnsM2/iliSJrSt3s2XFTnzDfmxpFhbfOp9pF09iqMdB+9FuzIkmiiblsfqP77Hmj+9hS7OhM2rxDftw9rvwufyypnvkdiq7qAjoTVqyxh0nu65BDyF/CI1OjUKlQK1R4XMFUJkVBJ1hlAplPIjJ4/CiUCr4zxXfpuVQO92N/SRnJTDzsqkfOgg58dhe+u/X2P3WfjR6DYJCIOgNUrWgnJv+4ype/tkb1G4+SjQSIzkrEZ1RS1d9zxji3dXQg98dJGtcOrY0K9FIjP7WASYsrOAr/3vrWS1aHDx4EI1GQ0VFxUnvvfjiizzyyCMcO3YsLgkaRTQaRZKkz01GxacFh8PBO++8Q11dHVVVVeTm5lJVVRWXuozOEo8+544cOcJLL73EihUraGpqory8nK9+9au0tLTwzDPPnHFC6nl8PnCeoH++cM4RdIDh4WHC4TBms5ktW7aQnJxMWloaVqt1zHTlwMAAhw8fZsaMGZhMpg/4xHML0WiU3bt3k56efkb+v58WJEli3/Ym9mxpwOMKUDI+iwXLKkk6Q7Lywm/WUb2lgcyRxj8Ax4Abs03PD39/60faD0e/GySJxPc1k7a0tNDX18fMmTM/0vR6NBLj7z95g8M7GgEJUQSDWcu137iIqYuPJ48e3lbPU999HluaJS4v8bn8RIIR0gvS6GroIbMoHUEhEPAGcdnd3PHo9YyfX4rX68XtdjPsHOa9Z7ZyZGMDkWAMrV5DxfxxXPf9y0hKSfpElXaQCfWhTUdx2WULwYq5Jaz4xZuse34TeaU56I16QoEwjfuaAQGdUYuALPMonlJA25FOUrIT442JkiTR2zJA6fQi2o92gSS/FovE8Dh9GC16rCmyfeBgj4OMojQeeu1++lrsNNe0oTfpGD+v7EM11OFgGO+wH0uS6bTWkH5PgL/96BWO7W4kEoygNWopnlpA84FWlCoVAXcAQanAmmymp6mPWDRGekGq7K4iigy0DxKLidhSLSSm2wBwOocZbHOM/BZqQoEISqVczQ8FwqTmpTDcP4wkSiBAam4y3/rjV8goPPWgShRFWmra4+mngkJgy4qd7H9XdtiZeEEFi26aG/8+hnqdBNwB0gtTObj+MM/+vxWo1EqMNjlh1NHjRKFSMm5qQfy88Di8xKIx/uPFb57WdvKTYnBwkNraWubOnXvSDJ3H42HSpEn86le/4qabbjor2/+8YDSUaPXq1TzxxBOsXbs2LnGZMmUKl1xyCVdeeSXTph13DXp/E+jGjRt57rnneOutt3A4HIiiyKpVq7jqqqv+BUd0HmcLcYK++OHPhqCvf/g8Qf8EOCdLwjqdDq1WSzQaJTc3l6GhIWprawmHw5hMprgcoL29nbKysvPk/H04duwYWq2WwsLCz3S7giAwbd44ps072Y/4TKDRqXn/cDQWFdGexjXkVBjsHWbVHzfSeqQHgPyyDK6+ZxGp2Ym4XC5aW1uZPn36R9a+qtRKbnnwMva9d4Tm2k4MZh0TF5RRPHFsnHnpjCJyK7JoqWnHaDMgiRIBT5AJC8tpr+vCkmyJS2f0Jh2OXied9b1MXFSB1WrFarXSdaCfxq0dso1dpg6fy0fNe3XoEjQUL8wlGozhHwiRmJJA6dRibAm2j0TaTTYjc6467gstSRLpkxLJ2p2Bo8cFwjAKhYLZV0ynYEIuhzYdRUJi6tIJlM8ex+Nfegq/OxDXRgc8QRQKBa2HO7EkmOKvtx/twufykZKTKOcbKAWsyRYGO4d48dFV7H+vlqAvhCAIpOYmc9fPbyG3POuU+yyKIh6nD51B+4GJqAaznnt/fRstNe04eofJKEwjLT+ZX375j/Q098vVcoWAvWOQjKI01Bo13Y2ydSfIiarhYDg+SxIOh5EkEZVKjT8YJBqKoFSriEQjOPvDKJUK7B12UnOTUWlkr/P+Njtr/7yBRV+Yy6HNR4lFRcpmFFM+exwD7YM88c2/0nWsBzEmYk21cNsj17P09oUsvX3hKY8pKSMBRqwRpy6byGC3gw0vbMc16EZn0FI5v4z2I50nfV8KhQLlR0kj/ggQRZH6+nqKiopOKZ/7+c9/zrhx47jxxtMHLZ0LGA3TCwaDfPWrX+Xyyy9n/fr1pKSkcP/997Nu3TpqamrYsGEDX/jCF1i+fDmFhYWoVCocDgd6vR69Xs8FF1zA1KlTufLKK7n11ltZvHjxeXJ+Hv8yrF27lscff5x9+/YRCoUoLS3lzjvv5L777vtIDnqhUIiVK1eyatUq9uzZQ39/P1qtlpKSEi6//HK+/e1vY7PZzt6BfEKckxX0UChEJBIZ0xQqSVI8VGN4eJiuri4kSXZkGCXtFosFq9WK0Wg8Z20We3p6aGhoYPbs2fFUus8Ljh3s4G+/WIskgdlmIOALEfCFuPKOuSy8bOKHrh+LiTzxgxU0He7GlmRCEGB40Et+eQb3/fQ6qvftJTMzk4KCgrN6HI7eYf751Hsc2S57bk9dWsVFd8zn1/f8BZ/LT1KmTLbEmEhvSz/XfPsSFt14PNzlqe88y8H1h0k7QcYw2DVE1rgMLrh5Lm/8fi0uuxsUkJRnY9pN47GlWsbIY07UtH+YX3JnZydtbW1MqJjI0e0NDPe7SC9MpXJu6SktFV/8ySq2vbobQSGMeHnHyC3Poqepj6xxGcf13J2DtNZ2klmchjlBJu1+z0jSplaN1qCRdfoxkYGOQcpmFPPNP36F5gNt9Lb0Y0u1UjF7HO1HunjlsTfobuhDpVEy/ZJJXP/AFadsxDwdmg608tJ/v8ZglwMJsKVYuOa7l1I8KZ8db+ylq76XpMwEpi+fxJ+//wJ9rQOk5CQxPOxCKahwdDnxDfsRRQmFUgBJ7rFQKhVYks1xnT7IzaCCIKDRqwmMZAho9GqW3LaA2s11NFS3YLYZUSgVuB1ejFYDP1nzA1RqFb0tAySkW0nL++DmbPeQl8HuIZIyEgj6Qvzm3qfxuwMkpNuIhCIM97uZc/U0bv7RNWf8HX0UtLW10dvbe0pL2+bmZmbOnMmOHTuYNGnSWdn+5wWjA6W77rqLlpYWVq9ejV4vu/Kkp6dzzTXX4HQ6WbNmDaIocskll3D99dcza9YsbrzxRv785z9TUVER/5zW1laKioqor68/ZTDTeXy+MVpBn3fhZ1NB37bho1fQH3vsMR588EEuu+wyHn74YcxmM8888ww///nPufzyy1m1atUZy41LSkpobGxk6dKlPPDAAxQVFdHb28uTTz7JCy+8QHZ2Nhs2bPi3PdfPSYLucDjiQUTv1yiKosjatWtJSUlhypQpcdJ+4p8kSSeRFaPR+H++gdTr9bJnzx4mTpz4qaX1fZaQJIkd7x5hw2sH8Lj86PQapi0sYfnNs1CdQSWw5Ug3T/5oJeYEI7oRB4twMIJz0MtFX5pEYraBadOmfWbnQSgQRqFUxN1N3n12C2v+tAG1To1Gp8E95CE5O5Fv/P6OuJwC4A/f/BuHNh8lLf84SRvsdpCYZiMcChMOREhItxENRxnsdjB5yXhu+NHlY64Bj9tD0/YOmrd3EPJFKJ1RxGX3LCW/YmwSZSAQYOfOnUyaNOmMexUi4Shb/7GL6ndqEGMikxePp2hyAU9951n0Rl1cmuHsd9F2uAO9WUdCmg0xJuJxeEnMsOF2eEkvON6cOSoDKp89jvo9o03CAumFafS19ONxeDElyD7iQW+QRTfN4fZHbyQSlvX9lkST7Pf+AfC7AzTsa0GMxiieXIBlREP/fux7t4YX/msVw0MuJFFEp9djSTbjGnQhxWB4QNb9Gm0GopEYCoWCtPzk4wOTjiGC/hC2VAtJmQkIgoBr0EM4GMY3LEfGCwoFKrUSrVGHZ8jNxAsqaavtJOANotapmX7xRG758XVn7MRSs/EIbz7xDs5+Fyq1ktIZxdzw/SvisxmfJkKhENu3bz/tOXP99deTnZ3NH//4x099258njA6M29vbWbZsGc8//3xcxvKtb32Lffv2sW3bNtrb21mzZg1/+tOfqKmpYeLEifh8PhQKRTwJdRSvvPIKra2tPPjgg/+KQzqPs4x/d4K+detWFixYQEVFBQcPHhzDz+6++26efvppfvKTn/CjH/3ojD7PZrNRWlrK9u3bTyL11113XdzWdPv27Wd+YJ8hzkmJy1e/+lXWr1/P5MmTx9hyZWZm8otf/IInn3yS2tpalEolBoMBg8FAevpIsIwk4ff7cbvduFwuurq68Hg8CIIQJ+1WqxWLxYJer/8/Q9pjsRi1tbXk5OR8Lsk5yBKZucvGM2XeOAb7XFgTjR/JvSUUCBONyl7So1CqlYRDIQb67Cy4+NIz+r07G3rZ9uZ+elrsZBWmMu+qqWQXf/RY7/eTqwtvnoNSqWDnm/sJeINUzi3hki9fMIacA0xYWE7t1jq8Th9Gm4GAJ0g0HCUxM4HmA61kFKUhCAIqtRJrspmmfa0QFsjJyYl/xpo/r6fm9WOIklzx3bv6IMeqG7nsBxeQmp2C2WzGoDPQ3dtNWlraR2okVmtUXHjLPC68ZV78NUmSqFpQTvXaGnwu/4jXeIz5183C3jlIf/sgCqWCqoXlFE7IY83T60FCDlBCnk0I+kLUbjlGQpoVg0VPJBShYU8TQX+Y7LKMMZXavW8fJK8yhw0vbGO434XerOOCm+dy0ZcWnXb2zGDRM+mCylO+dyKmXjQRtUHF6r+/S5I1ifKZpWh0Kl54dBWJ6QnkVmQhSTDQZseWZmWo28FgpwODVU/QF0KUJDQ6NdYUS/x8sySZ6Kjrxuv0AcRlTiqN/O8D6w9jtBqwpJgJ+cJsW7WX5OwkLvnKYtoOd6JQCORVZp9W3jPxgkrKZo2jt7kPvVm23zxb97bGxkaSk5NPec6sW7eOHTt20NjYeFa2/XnC6Pe/e/duDAZDXIrZ3t7O3//+d1auXAnIlo333HMPeXl53HjjjdTU1AByAy6M1aPfcMMN/2eeWefxAZBG/s72Nj4iHn74YQC+8Y1vnFQ8vf/++3n66af5+c9/zne/+934TNGH4fbbbz9lxf2ee+7h1VdfZceOHXR3d5OVdWr5478S5yRB/+tf/8r+/fuprq6murqaN998k/r6elJTU3E6nXzpS19ix44dTJkyheTksQ8iQRAwGo0YjUYyMmR3BlEU8fl88epie3s7Ho8HpVI5psr+Sa3u/pWor69HqVR+pk2hZwt6o5acoo9uD5dbko4tyYSj30XKiO3hUO8wglpi1gVTzuiG0dnQy59++A+cA260OjWth7s4uruZe356A1kfg6SfCJVaxeJb57HwxllEwzG0Bs0pz7VZV0yl/WgXe1YfoK9lAK1Bw5QlVeRWZNF8oHXswiPrnzjPFg6G2bpiF2qNhsQMGwCxaAx75xDioJLeoUFefW0twwMubFlmJi4vJxQKjZl1+qjXgSAI3PQfV5FdkkHNxiMICoHJi8cz9+oZKJQKuhv70OjUpOWnYO8cYuuruxnoGMSWaiEajuF1+rAmmwl4g/FgHrVWjVKtJBqOjCHdKo0K/7CfFY+9gShKmGwGfC4/b/xuLXqznoU3zMbr9OFz+UnMlH3rA94g217dTf2eZkwJRmZfOY3S6ae+VkRRxK/ycMMProhfT+FgmAPvHebIjnqkkSZYc4KJG75/BeFQhH/+4V3sHYOk5CQz/ZJJbHhhK5FgJD57EglFiUZi8u8lSajUKjlB1B9GqVLECT2AyqYiHIqw8cVt7F9Xy0DHIAKQXpjKbY/cQF5l9in3W6vXkD8+95TvfVoYHh6mv7+fOXPmnPReJBLhBz/4AQ8//DDJycmnWPvcxcGDBzl48CBlZWX85je/YerUqUyfLveBjMpXli9fzsUXX0wgEODee+9lwoQJ8WA+4EOlaudxHmcTdrudTZs2AbB48eKT3i8tLSU7O5uuri7efvttrrnmw+V17e3tJzk8jSI7+/h9zuFwnCfo/y4wGAzMmzePefPkCp0kSTQ3NzN79mwuuugiHA4HDzzwAM3NzeTl5cUr7VOnTmXSpElYrWOdOxQKBWazGbPZHP+RRwM1XC4XbreblpYWfD4fKpVqTJXdYrH822u5+/r66O/vZ9asWees9h7AaNFz2Zfm89ofN9LbPiS/qIgx76rxFJeeme586xv7GR5wk1ko2yRKokRvq51tb+7nxu9e8qnsp0qt+sBGR5Vaxc3/eQ0Lb5hNX5ud5KwE8ipz6G7sY+OL2xnqdpCYkUAkHMVtdzPxwkqsKcflGn5XAL8ngM54vII/6rjStKeN1toOolE5CXWo2cX+l+sYV1ZMWBsecx2YzWbcXT66Dveh0+mYtGg8xVMKTksStHoNi2+dz+Jb55/03onNn6m5ydz2yA28+vhbOHqdKNVKpl08Cb1Rw+7VB8asp9aqUSgV+N1+DBa56dbr8KHSKAmHInGZjN6sl4n/P3Yx2DXEnjUHiQQjJGUmcPFdF7L++a3U7WqEkb6VXf/cx5f++6Z4INGJ6OrqIhaLjQk90+g03PHfN7HvnRpaazsw2gxMXTqB3Ar5ITLpwkoCniA6kw6FQqCvdYAD79USCUUQFAq8w7Lu3pxgYnjAJVs+Its9Gq2G+O8zCgHobRnAN+wnId2GBHTUdfPXH73MD1/+Jj1N/fiGfWSXZp41l5b3Q5Ik6uvrKSgoOOVg96mnnkKpVHLfffd9JvvzecGkSZO477774paIfX19uFwuYrFYfJlRp5fKykrUajXLl8ve+u8vPp3HuQFBkhDOsrr5o35+dXU1oiiiVqtPWwgsKyujq6uLvXv3nhFBt1qtp32vt7cXkE1DiouLP9K+flY4Jwn6+xGLxbj77rtZvHgxL730UrzxzeFwUF1dzd69e6muruZPf/oTXV1dFBcXM2XKFCZPnszUqVOZOHHiSRp0hUIRJ+Anbsfj8cQr7f39/fh8PrRa7UmV9n+XBDe/309dXR2VlZVnPKX0fxlTF5WRMy6N+v3tDA4OorJEufiKxWf8cOtp6kejV8eXFxQCGp2anpaBj7Qf9s4hju5qAkmibEbRGD35mUAQBLJLM8kuzYy/ll2SwZXfuITVT62jr82OSq2kaFI+V397+ZjjMyebSclOorO+B71ZlnGFAuER4tiPGBXRJ2gxKeVp956mfjoP9nHl1y8G5OvA6/Xyzl83su6ZLQT9ISRRYs0z65l701QWfmH2J55xmrCwnPJZxfQ0yYmoKTlJ1O9pomZTHfbOISxJJgLeICqNisp5ZXTX9+B3BQCwJptJyUui/UjXmG2rNCo6j/XQ29yPwapHb9HR2zrAMz94AZ/Ljy3NikYnBxU5ep28/tu3ySxKY+c/99HXMkBOWSbTL59EU3sTkyZNOsnpR2fUMveaGcy9ZsZJx6NQKMbYRH7xoeuwJJk48N5hRFFk5mWT8bsD1O9tpmJOCe5BD7GYiM8VIKc0g7baTvzuAHqzjkgwgt8dQKlSkpSViGqkCp+YkUBvcz+/uO0P2LuGiIajmGxGLv7KhSy8YfZZJ3A9PT2Ew+FTBuMMDAzw05/+lJUrV55z3uYfhpKSEv77v/8bs1keRLtcLmprazly5Ajz5s2LF1W8Xi+vvfYaX/va11AoFOcr5ufxmcDtdo/5t1arPWVRsrm5GYCUlJTTFgJHVQujy34SrFmzBoA777zz35bbnCfowE9/+lP6+/t58803jxMnQSApKYlly5axbNkyYMSPubc3Tti3bNnCr371KwYHBykvLx+jaa+qqkKr1Y65ASqVSmw22xhbn2g0Oqb5rqenh0AggE6nG1NlN5vNn/mDSRRFDh06RGZmJqmpZzcx8POE1KwEjDYNu3c7mDRpxkf6XTKL02iv6zke8S5KhIORMQmiH4Z962r5xy/ewjOiNzbaDFzzzYuZdfnJ1dqPirlXT2f8vFLaDneiN+sompR/UvVVqVRw2X0X8ex/vkx/qx0E+XqpmFNCb0s/qGQSbrXIM02CAC6754T1lYhBiZ0r9qNRa0gtSUGSJJx9wxz451EqFpRwcPNhWva3IwgKSqYXUDGnNH49nClpV2vVY+QaJdOLuOY7y3n3r5twO7xo9RqW3LaA5XdfSP3uZhr3t2Iw65m6bAKHNh2l/XAXoUAYrV4Tbx4VBAGtzRCvKuuMWhr2NBONxOKONIIgYLQYGOgY5PEv/xHvsBelUsmhLUfZuHIb1z906Wk1+S67m+aDbWgNWkpnFJ12JsSUYOSW/3ct133vcsSYiN6k48i2Y3Qc7cLeOYTRaiA47MOSaOTqby9n55vV7F1zEN+wH6VaQXZpBkPdzrhWHUChEPAO+2iuaSOjIBWNXsNwv4s3f/8OuWVZFE48e4mSkUiExsZGKioqTmlR+sgjj3DBBRewZMmSs7YPn0eMyldOrBQuWrSIt99+m2XLlvHII49w6aWXUldXxyuvvILH4+Huu+8GzlfMz2mII39nexswpncJ4KGHHoprzU/EKJH/ILI8Grj1SQO0+vv7+ctf/kJ2djaPPvroJ/qss4nzBB25O/jmm2/+UL9zQRDIzMzkyiuvjEdIi6JIZ2cne/bsobq6mrfeeotHH30Ur9dLZWXlmCbUiooKVCrV2KqcSkViYuKYB3YkEokTdpfLRWdnJ8FgEIPBcFKl/aP6bX8UjDZi/btaEP2rIIoihw8fJisr6yOnqM6/cgp1u5vpabGj1akJBSMkplmZd8WZkWufy89rv1mL3xMgfaRqPtjj4I0n3qVizjgsSad2DvkosKZYmPghzY6TLqjE+tRX2Pv2QbxOL0WTC5h56RT+9uOX2fVWNTnJWQgKgUgoAgjklmeOWb/9SBdel4+U7KQREi+QkGbD3jXE0TXNHN52TG6IFEXadnUz1OGiYmnRGJnYqKZdp9FjbxtCb9KTWZx2WuIhCAJzrprOlKUTGOwawpJswZIkX/NVC8qpWlAeX3b2ldM4tLmOY7sb5YAgIGtcOh6Hd4zjjyAIKFVKIuEosWgsPpgJBcKEgxE8Qx5ZJqMQCAaD9LUO0FU9wE5/NQfW1xKNxJiwsJw5V01n15v7WPHzN/EO+1AqlWSOS+e+395x2kAiGNsoXDmvjJv/8xree24rjh4nuRXZLL19IZVzS6mYU8KFN8+js76HxHQbeZXZ/PeNv2aox0lyViKSJDHY7UCMxrClWtGb5YdkYmYCPc39HNlWf1YJektLC2azmZSUk2eCDhw4wCuvvMLhw4fP2vY/b2hqauLpp5/GYDBw7733kpZ2/By5/fbbeeedd9iwYQPf//73+elPf4rT6SQxMTHeOPr+oKLzOI+zhc7OzjFKgn+1pFcURb785S8TCoVYvXr1Z5aE/nFw/goF0tLSxtzgPgoUCgV5eXnk5eVx/fXXA/IJ0NTUxN69e9m7dy+vvPIKDz74ILFYjKqqqjHymJKSkpNItlqtJikpaYxbyol2jw6Hg7a2tjHBSqN/JpPpUyHtAwMD9PT0nNKH+FxHS0sLoih+LN1aTkkGd//P9cddXIrSmHfllDNuEG0/2o3L7iYpKyFe/UzKSKC/Y5CWQx1n5CIyinAwzFCPE0uS+UNTNk+FgqpcCqqONw1KkkT+nEwa9icw1OmEEeJdNDmf6ZdMHrOu0WZEpZGbFXUj9oWRUASFQqBm4xHUWhVZ42TnJGe/i7oNzVz55eUkpFvjiahut5sNK7ew5dk9+IcDqFQq8qqy+cKPryK7MOu0lXadUTtG2nMqGMx6vv77L1Gz6Si9Tf0kpFuZvKSKl/77Nfa9e0jWdauV+Fx+jDYj5iQTjh4nWqOWaDgKEphsBhRKBYJClswFg0F0Bh273tzHjlV7EUUJQYD63U3Ubj3GkW31hIMRbGk2YpEYHUe7ePb/reB7z95H075WnP3DZJdkkl2acdpByJSlE5i8pIqQPzymSVgQBAon5o0h2V/40TW8+Oir2DvlfgpbqhWdQYtSefx6FwQBAZDOouWD1+ulq6uLmTNnnnRckiTxve99j29/+9ufeTDavxtGdeRHjhzhe9/7Hu+88w4ga/O3bdtGUVERkiSRmprK3//+d1566SWeeuopotEol19+OTfddBOLFi1CkqTz5Pwcx2epQX+/1Pd0GF0mEAicdhm/X7aR/SBt+Yfha1/7Gu+99x5vvvkms2fP/vAV/oU4f5WeBSgUCkpKSigpKeGWW24B5JtrXV1dnLT/5S9/4Vvf+hZqtZpJkyYxadKkeCNqQUHBSaRYq9WSkpISrzCdGKzkdrux2+00NzcTjUZPSdo/CskOBAIcOXKE8vLy+JTSecgYHh6mvb2dGTNmfOyBUE5JBl/43qUfa12tXoNSpSQWicXlD9GIHGij+xCf7hOx65/7ePvp9Qzb5bTIOVdP57J7l54kZ/ko6OnpwZCi5XvP3EfNhqMMD7jIGpfBtGUT484poyialEfhhDzq9zRhsBoQkGcH0vJTcPYNkzTikgNgTTHT12qnq6GX5KzEeCKqvWuIPS++QtQnkpiWSDgUpqm6jeceWcmCu6cR9kUJDoVJTk+iZEoRVqv1I2na1Vo105ZNhGXHX7v0niX0tvTT32pHkiTUWjWzr5zGBTfPYfVT6zm6vR5TtpGFN86mfk8TBzceRZIkAoGAHL8eEXHZPSRnJcRlMj6XnwPr5IbPlBH7QqVSgdFmpPlAG4/d/Ds6j3UTCUfl3+qq6dz0w6tO+1sJghBPKv0gTLqgksIJeRzb3YhCIVA2cxyrfr2GHa/vRWvUotGpGR5wozVoKZ91dmbRRhtDs7OzTzmD+corr9DZ2ckPf/jDs7L9zxNG7zd33XUXycnJ/Pa3v2XixIkcPXo03lQ3em5nZmZy//33c//999PR0UFu7tl13zmP8/ikGD2H7XZ7XLr1fow2dn5cN7nvfOc7/P3vf+ett976XMjlzhP0zwhKpZLx48czfvx4vvSlLyFJEuFwmMOHD7N371727dvHb37zGw4fPozZbD7Joz0rK2vMCSsIAjqdDp1OF9eHj1bpRqUxfX19NDY2IoriGQcriaJIbW0taWlpce/385ARjUY5fPgwxcXF8Yaszxr547PJKc+k+WA71mQzgiAwbHeTV5FF0eT8M/qMhupmXvnZG0RCESxJJoK+EO88sxGTzXhKh5QzQTAYpKGhgaqqKpKTk8ks/OBzR6FQcNfPb2bVr9ZQu6UOkGUlM5ZP5pkHXyQcCMdlFiF/+P+3d+ZhUZXvG//MsO+LgiiC4sKqKOC+YZoppplbZWluaZZbZZZL5ZZ+xTQ1NS3NNk0ztSzX3PcdV2QTEEVBQPadYc7vD37n5AgoCijq+7muuco52zvDzJz7POd57xtDIwMs7wnFuXjgChnJmdg5VUetVmFqZoKBngEp0elkhxdyYP1xMlMyUempsG9QjRZvNsbC1lxnXsfDTkStWb8GH/0wikuHinzknTwcaehXdEE9cv5AnXVru9Yk/Ew08dEJaFWFqCU9jM2M0BQUYmb9n/WXqaUJmoJCCguLN4VmpWcTERRFtZo2GJoYkpWWzaE/jtPA1wVnT0cizkRhYGyAV1t3LKuZk5Gcyd/LdnH234voG+jTtndzur3TqdRAIstq5rTo/t/djVfef4nkWylEX7pOQV4BZtZmdHm7Aw18KycdNzExkYyMDLy9vYsty8zM5PPPP+err756YPvhs45cPf/mm2+Ii4vjjz/+UGzi2rcv+s4WFBRgYGBAUlISly5d4oUXXgBQxLk870X0nguqog+6n58farWagoICIiMjS2ytlYO1ZAvRsqLVannvvfdYv349u3btUhz8qjrPZZJoVUWutF24cEER7WfOnCE0NBQ7O7tiot3e3v6BP7Z3Byvd/bg7WEl+mJqacvXqVZKSkspVIX5WCQ4OJjc3F19f3yd6kku8cYcN87cRffE6kiRRx8uR/h/3oKZL2SaarvvfXxxcf4xa9f9rq0mMvYO9c3U+3/jRQ49HkiTOnTuHkZERXl5lb7GRyc4ouqVpamGCJEms+OBnLhy4gqmlCSoVZKXl4NXOjdFLhupcpO5avZ8/5m/F3qma8vfIycghMy0bQ2MD9PT1sLa3JD+ngOTbqbTt04JeH76k8z3IysoiJyWX8AMxxIcnUa2mDR3faEvLgIr5G18+Esr6rzeTmZiNq08Dmndvyu//+wuVWqXMF8hOzyEtKZ287HwkqchFplBTSFpiOpqCQiyrmWNTw1rZ5+2YJBxdHchMziI7IwcVRb3ig6b3Z9PXWwk7FYmBkT6SVkJbqKVtnxaM+GogWq2WwoJCDIzuP6m5UFNI1IUYMlOzcPZwpFqtyunRLCws5NixY9SrV69ED+Lp06dz7NgxDh8+LEQlRQUCb29vJkyYwPDhw9FqtSUK7lWrVjF16lS2bt360EJG8GwjJ4l2aPfFY0kSPXRk5kMliXbq1In9+/ezfPlyRo0apbMsLCwMd3d3LCwsiI+PL/Pd/cLCQoYMGcL27dvZuXNnse/E4MGDGThwIF26dCnbC3uMiAp6FUKlUmFqakrr1q2V3ihJksjMzFTE+pkzZ/jjjz+IiIjAycmJpk2b4ufnp4h2a2vrMgUrZWdnKx7t169fJyMjA7VaTWFhIbVq1SIpKempDlaqaG7fvk1CQgKtW1e+3dyDsHOqxvuLBpF0MwVJK2HnZPtQY8rNKN7jp2+gT05G7kON48qxcI7/c4a4a7exqG3CoI9ff6jtZUwt/mt/UalUDJren2or93JuzyUkSaLjGz50H/lisVue7i0bYmxqSFpiOlZ2lmgLtaTdycDMypS8nHzs/l+4m1joYZ5ryuVDIbz+yStYOf3Xv5h8O4V5g5YRF3kbtYGauMjbhJyI4NL5S/h1837kSruMpbMpARP8adWqlXLBe+3SdQ6sP05ORi4qtQpNQSF+Xbxp4OfCH/P+JiU+FbW+GicPR7LTssnJzNPZZ6GmkGuXb2Bjb4WDix1arURCTBI/Tl1HQkwSltXMMTQuEuHZ6Tmc3nEeh7p2nN55gdSENJzcHen5/ku4tyx5DoWevh4N/Sq/3zsmJgZDQ0Nq1So+HyA6OpqlS5dy5MiRJ/59qyqEhoaiVquVuwmltS2+8sorfPPNN/z2229CoAtKpigNrfKP8ZBMmzaN/fv3s3TpUt555x2duRILFiwAYOLEiTriPCgoiIEDB+Ll5cW6det0tikoKGDAgAEcPnyY/fv3l3in7uDBg8rdpqqGEOhVHLnS3bFjRzp27AgUifbU1FQdj/Yff/yRmJgY6tWrp1Nlb9q0Kebm5sU82s3NzTE3N1cqVzk5OZw4cYKaNYsmoEVHR5OZmak4Ztybhvo8kZubS0hICB4eHlXmtatUKuxqP1pl07VZfU7vOE9OZi4m5sZo8jVkp+fQrFuTMu/jzM7zrJmxiZzMHPIK8tG/oM/KuLWMXT5cR3A/CuY2Zrz2ySv0+bAoTKU0q8E6XrXp8d5LbPtud1EapkpFjbp2uDarx4l/gnSFnUpV4jnpzPYLJMbcoYazndLTnXjzDtFHblHf1YW/f9/D7WuJWNWywLubG+4tG5ZZtOfm5nL1anHP894fdKdGHTuCdl9CU6ChyQtedOjfCiNTI3w6NSIiKBoTc2Ncm9dn6/J/2bZ8D1lp2RibGZGZkoWk1aKnp8bGwer/+9VV2NSw4nZMIgV5GgyM/nu/DE0MuXMzmc2LtqNvqI+RiSEhJ8KJDbvFxz+9j6OrA6kJ6ZiYG2Ni/vg+2zk5OURHR+Pn51fi+zd58mTefPNNfH3Lbx36rODg4EBISAiXL1/m9deLLobv7dWVJ4m2bt2aM2fOPKmhCgSPhL+/P7Nnz2bq1Kn07t2bGTNmYG5uzurVq1m5ciXdu3dn8uTJOtusXr2akJAQQkJCmDRpEn5+fkBR5bx3795s27YNR0dHhg0bVuIx5b72qogQ6E8hKpUKGxsbunTpotyWkSSJ27dvK6L96NGjfPPNNyQkJODm5oaPj4/iHOPt7a0jLDQaDSNGjGDIkCE0atRIOc69wUoJCQlVPlipopEkieDgYKpXr/7M9OQ3796U4GPhXDxwhdSEdFSqIrHbbXjZqgiFhVp2/rCfvNx8zOxMsVCbYWRoQvSl65zbfanEoJ1H4X5pqDLdhr9Akxc8iThbJGq92rkRG3aLc3svkxKfipW9JQW5BWSmZtGmV7NikycTrichSZLOhEtTcxOSriezZf5u8rLzMDY3Jjkqg5O/XKKOSx2MjPJITEzUsXw0N7fgTlQKKbHp2DlWw7ujF6Fhodjb2xez8dI30KfDa63p8FpxBwErO8uiian/T8A7nUm4foeLB4JJjs/5f5/2Jlw5Fo5WK6GnV/QdLtQUYmRihKSVyM3Mw8SiSGxnZ+QUTS41M6b6/7eqmFubkXA9ib+X7SIzJYu4qNsYGBnQsocvr4x+SfFzr0wiIiKoUaOGTiaEzL59+zh06BDh4eHlOsbOnTtZsGABZ8+eJS8vDzc3N4YNG8b777//yM5UW7duZdWqVZw8eZLk5GRsbGyoV68e7du354MPPlDuUlY0kiRhZmaGp6cn3333HS1btqRHjx7K67g3dKhFixbcuHGDjIyMJzZfRlB1UUlFj8o+xqMwZcoUfHx8WLBgAZ06daKgoABXV1cWL17M6NGji7Xe9u/fn99//x1PT0+dFsuMjAy2bdsGwM2bN7l58+Yjv5YnhehBf4aRJEmJxZV72s+ePUt6ejqenp6KYD9z5gz79u3jxIkT2NjY3HefGo1GR7Snp6eTnZ2NsbFxMdH+LCT+Xb9+nZiYGFq1avVMvB6ZQk0hoSevcjMiDpsa1jTu4FEm5w+AjORMpr0yj0KpEElPwsbGGpVKTXzUbV4a2pE+H5bdoSb1dhohJyNQqVR4tGpYIbHykiTx748H+Pfng2SlZmNgqI9LY2eG/u8NnV5ugD2/HGLd7D+pVtMGPQM9xQ8cQK2vLvIw//9k4dvRCbTu1YwhX74B/HcBm5qcyu+z/+bKoQg0+RpUahV2dW3p+F5Lmrfzw8bGplytYpIkcevqbVLiU3F0dUBPX5/AgUtIvpWCdQ2r/+9Xz6Cxvwf6Bnqc+Oes4t2up6+HVqvFzNJUxyM/Lvo2kiRhbGaMha05BXkacrNy6Tb8BXqP7/5I4ywrycnJnD9/nrZt2xbzRC4oKKB169a88847fPTRw8+HkAkMDGTSpEn06NGD6dOnY2FhwQ8//MC8efPo2bMnmzdvfiirwcLCQoYNG8aWLVuYMmUK3bt3x9zcnCtXrjBp0iQuXbrE7t27K90ZYsKECSxcuBB7e3s++ugj3nrrLeUuqDyRFKBXr144OTmxdOlSkRgqUJB70P3bfP5YetAPHpv1UD3oAl1EBf0ZRqVS4eTkhJOTE3369AGKbolGR0crwUqrVq0iODgYR0dHXn31VR2Pdjc3t2InMX19fWxsbHSE/N3BSunp6cTGxpYYrGRhYfFU+e9mZmYSERGBr6/vMyXOoUi4ebV1w6ut20Nva2ppgrmtOTciYqnp4oBKpUZTUAgqFdUdy952E7TnEutm/0l6UlHKqJWdJQO/6It3R8+HHtPdqFQqug57Ab+uTbgechNza9MSE1EBWvbw5dAfJ4gNu4W+oX5RJdrUCFMLY3Kz83V8xPUNDUi4fkfZVk4GvnIggohj17C0tcDYzJj8nDxuRyZxZedVzMxNCTlylfysApw9HPH298Smmg0WFhZlFu0qlQrHhg6KLzzA4FmvsWHe3yTEJKHWU9PY34O3Pu+DuY057i0bcGH/FfQN9Wke0JSTW4M4t+cSFjbmRT3v+RoK8jSo1Wpq1LFT/PRTEyRO/H2W7iM6Y/QQlp0Pg1arJSwsjHr16pUYWPL9998jSRJjx4595GMcPnyYSZMm4enpyebNm5XvbmBgICkpKaxcuZLAwECmTp1a5n1OmjSJtWvXcuzYMVq0+O8OUd26dXFzc6Ndu3aPJYBl5syZ3Lx5k02bNvHVV19x4sQJXnnlFV577TVMTU2JjY1l27Zt7N+/n9jYWKB4dV0gqKo96AJdRAX9OSYxMZEmTZowdepUXnjhBaWf/ezZs5w/fx61Wk2TJk10RHv9+vXLdHs4Pz9fJw01PT2d/Px8zMzMFMFuZWVVYcFKFY1Wq+XkyZNUr15dJKnegyRJrF34B4d+OomeWh99Q33ysvNw9nDkg+9HYm5j9sB9ZKZmMavf16QnZVL9/z3PE2OTsXGw4vONH5W7j/1hSLmdyr41Rwg7HYlNDWs69G/JxYMh7F93lBp17VDrqdEWarl9LZGXhvjT7+OeOtuv+nQtRzefwr5OdQBycnLJSM7ExNgYSztLkm+lFDluqMHFz4n2w5qTV5BbbH6HhYUFhoaGZKflYGJh/MAWn0JNITcj4jEyMcS+TvVSRVj0pessHb2alNupIIFKrcLE3Ji87Hxq3SX6M1Oz0Gq0zNgyEcvqldMWcf36dW7cuEHr1q2L/Y7Iv0cbNmzgpZdeeuRjdO7cmX379t3XCcLS0pL4+Pj7xorfvY2XlxevvfYav/322yOPq7zI/ebHjx9n7ty57Nmzh9zcXAwNDalWrRrt2rXjxIkTWFpaMnbsWEaMGCESQwU6KBX01p89ngr68S9FBb0ciG/uc4pWq2Xw4MG0adOG999/H5VKhaenJ4MHD0aSJAoKCggODubs2bOcPn2ab7/9lkuXLmFiYqJMPpXdY5ycnIqdbA0NDalevTrVq1dXnpM92tPT00lKSiIqKqpCgpUqg6tXrxalYD5iIMKzTFxcHLV97XnHYyAn/z5LamI67i0b0OmtdmUS5wBXz10jLSGd6rVtUf9/cmW1WtYkx6USdT6GRu3dyzweSZLITs/B0NjggRaCJWFTw5q+E3roPFfN0Zbgo2EkxCSiUhcJdId69vi/3qbY9oYmhqD6rxc8Py8PfbU+mSlZ5OcV4FDXHrWemtysXK6fu4VhpilturUmIyNDaReLjIwk7EQk5/66QkZCFqaWpnR4oxUvj3wRU1PTEsW3nr4ezh7F7QnvxaWxM5/8OpoTf58lOT4VJ/daWNiY8/MXG8hOz8HU0gStVktmchauzetjUa1yPMfz8/OJjIykcePGJX6/Z86cib+/f7nEeWJiIgcOHACKhPq9uLm5Ubt2bWJjY9mxY4dyZ/F+/PDDDxQWFhIQEPDI46oI5PesdevW/PTTT/z888/s3r2ba9euERISwt69e2nRogWTJk1SvNGFOBeUhEpb9KjsYwjKh/j2PqdcvXqV+Ph49u3bV+zkr1KpMDQ0VCaWvvPOO0oI0sWLF5V+9sDAQK5cuYKtra3OJFRfX18cHByK7fd+wUrp6encvn1bCVaSRbuVldV9g5Uqg+TkZCV6/ElfKFQ18vLylIqivb09LQJ8HrxRCRgY6CnCV2490RZKqNRq9A3L/rN07fJ1/ly0g5grsRiZGNKmd3O6j+j8SEL9bhxc7Bn//QhO/H2W+OgEatWvQatezahWs/gcjeZdm3Dsz9OkxKWCIUgaCU2BFn1DfSxszJULEGMzY1JupxF98TotXy6yRJUnScYEx7JmzRYyU7MwMjMk404mf3+zi/jbcXh3c0fKUWGgNqSeVx1sqj18T3uNOnb0GttN+XehppCQExGc3n6O9DsZIIFtLWt6jw+otO/Z1atXsbGx0blolzl//jzr1q3j0qVL5TrGmTNn0Gq1GBgYlHpx7e7urszNKYtA3717NwANGjRg7dq1rFy5kpCQENRqNV5eXgwZMoS33nrrkd43uSqek5ODkZFRmX5vtFotNjY2fPDBBwwYMEBJlHZ0dMTS0lK5IylaWwSCpxsh0J9TXF1dOXPmTJkFqEqlwsTEhJYtW9KyZUug6ASQlZXFuXPnFNH+559/EhERQa1atYoFK9na6vp1y/s0MTGhRo0ayj7vDla6efMmISFFSZP3TkItrbJYHgoKCrh8+TINGzbEzKxs1eDnBUmSuHLlCtWrV1cush6Vhs3qUaNudW5dvY2NgxVIkHI7DSf3WmVORE25ncqKD3/hzs1kzK3NyUrLYduKPRRqCunzQdknqpaGXe1q9Hz/wdVcj9auvD6pF5sWbiU9OQMLS3PavNKU0FNXyUrJVtaTBZOZZfGAjeN/nyErLQc7p/9vVakGyfGp3DiZgDZNReiJq2jyNZhVM8W3jyd1mjoWa495GNGup6/HoOn98O3iTczlG5hameDzYmNsHazL/P48DOnp6cTFxSn5DncjSRITJ05k3Lhx5b5jFRkZCYCdnV2pv22y04q87v0oLCwkODgYKOpDj4qK4n//+x++vr7ExsYyY8YMBg0axI4dO1izZs1D/x7JYxw4cCCBgYE0aFCyN/2928jCXv7dhKL38W6EOBcInm6EQH+OKW91WKVSYW5uTvv27ZVbqpIkkZaWprTGnD17ll9//ZXo6Gjq1q2rI9h9fHywsLB4YLCSfCEgi3bZPkytVmNhYaFU2SsiWCk0NBRzc3MlRlvwH/Hx8aSnp5cosh4WQ2NDhs4ewJqZG4mLvA0qFS6NnRk4rR8GZaygB+2+xJ1bKdg72ylV6tSENI7/dYbuI14ssytNRdC6tx95Fpk4WNXCuaETtg7WbP9+L1uW7iTldhqGxgZkJGdiYWuGX9fiYRlpSemAbsXTwFCfW1fjSY5LwbKaBfpWeqQmpnNxczjtX2qLvrmajIwMIiMjFctHEyNTbgTFkRSdgq2DDe37tKJmvRrFjgdFIt3b3wNvf4/KeluAou9vWFgYderUKTH9b+PGjURHR7Nz585yHys9PR3gvr3l8hjS0tIeuL+0tDQKCgoAOHToEEFBQfj4FN018vT0pF27djRq1IjffvsNf39/Ro4cWeaxyq4rX3/9Nf/88w+bNm0q87Yl/XYLQS4oM2KS6FOBEOiCCkWlUmFtbU3nzp2VHlBJkkhKSlKSUE+ePMny5cu5desWDRs21JmE2qRJE0xMTIqJdjlYSU4d1Gq1ZGZmKqL9fsFKRkZGZTp5xcXFcefOnSqRFlrVyMvLIzQ0FC8vrwrzvK/jVZtJa8cSG1YUFFHbvRZ6emW/aMxMyUIFijiHIuGfl5NPdkZOmQV6Vlo2J7cFcTM8HlsHK1r29HsoNxoourBzcqmt48P70lB/NAUajmw6SV5OPi6NnXllTFdqNSjup9/Ax4UTf5+lIK8AAyODorTf9ByQJCxszDGzKhKVdk7VSbyRRHTQDToPbK9sX1hYyJ2EOywf9wsRZ6LRagqRJNj5435endQFz9ZuD/19qCji4+PJyclRhO3dZGVlMXXqVAIDA6ukX3d29n93QNq3b1/sNZiamjJixAimTJnCkiVLyizQJUlCT0+PjIwMZs6cSYMGDbh+/TrOzs6iNUUgEABCoAseAyqVCjs7OwICApSJVpIkcevWLcWjfd++fXz11VekpKTg6empMwm1UaNGGBoaFktDlQWHTGFhoY5ov3r1KllZWRgaGuoIdisrq2IiMycnRxGgj8Mu7WlCkiRCQkKoVq1auVtb7kVPX486Xo92t6JOIyfU+npKIqokSWQkZ1CnkRPW9mVzDchMyeKb91YRffF6kdOKSsXhjScZs2wYtd2KR9CXREJCAqmpqbRpozuBVN9An1dGd6Xr0I7kZORiaWdR6l2r1r2acWbneUJPRRZ5mKvAuoYVeVl5qPX/20b+CuTn5Otsr6enR/ixaK6dv4GtvRWGxoZoCyUSb97h5IYL5GdpuLgvhJzMHJy8a9GiRxOqO1SvdNGu0WgIDw/H1dW1xAmLX3/9NU5OTrz11lsVcjz59yAnJ6fUdWTRbWVl9cD93V2J9/Qs2f5TTi4MDg4mOzu7xLsE9yK/1++//z5169bFxsaGnj178s8//+Ds7PzA7QWCciH9/6OyjyEoF0KgC54IKpUKR0dHxX8diqriMTEximjfsmUL06dPJzs7m0aNGulMQnV3d0dfX19HVOjp6WFlZaVz4r03WCk+Pr5YsJKFhQVRUVHUqFGjwgXos0B8fHyJAvRJ07i9O75dGhP076X/bxEBS1sLeo/vXub2rSObTxF1MYZqNW3QN9RHq9WSEJPE9pV7GTl/0AO312g0hIaG4urqWuqdBSNTowf6iptamPDB9yM5tf0810NuYm1vScsevqz6ZC2R56IxMjFEracm/U4mRiaGuDYv3qsdfekGklZSkkDVeirMrc24cTmOxOjk/+9bVnEnKoSM2Gx6TuxMYmIimZmZGBgYPPKdp/sRHR2NqalpiSm8165dY/HixRw8eLDCJmPLPeyJiYlKn/a9yNHeZel3t7a2xtjYmNzc3GKJsDJy5V+SJFJTU8sk0KHorpSfnx/ff/892dnZ9OnTh/nz57N48WIlHEtU0gWC5xch0AVVBrVajYuLCy4uLrz22mtAkWiPiIhQgpXWrl3LxIkTkSQJb29vnfaYBg0aFPNULy1YSRbtaWlpXLt2DY1GQ35+PhcvXlSq7E9bsFJlILu2eHh4VFhrS0Whp6/HsP8NwLeLN1EXYjCzNMGvaxMcXMp+kRV9Meb/Q4iK/s5qtRoTc2MizkSVafvIyEhMTU2pWbMmKbdTSYhJwr5O9WKJpWXByNSI9v1a6jz32qevsPLjNUq6qbGpEV0G+1OvSZ1i21tWL7JHlLSSEj6Un5NPbmYuZlYm2DlUAyAvO4/rF25Bij6tO7ZWElHT09OVnvaKEO1ZWVlcv36dFi1alLjNlClTeP3112nevHnZ36QH4Ofnh1qtpqCggMjIyBIzDEJDQwHKdFw9PT28vb05deoUt2/fLnEd+Xm5va+sGBkZMX78eFQqFcbGxgwdOpTRo0dTs2ZNJk+eLMS5oNJQSRKqSu4Rr+z9Pw883+pDUOVRq9W4ubnh5ubGoEFFFU2NRsOVK1eUYKXvv/+eixcvYmRkRNOmTRX3GD8/P+rUqVOsimZgYICtrS22trakpKSQlJRE06ZNUalUpKenk5qayvXr18nLy9MJVpKr7VUxWKkykCSJ0NBQbG1tddwiqhL6Bvo069qEZl2bPNL21vaWSFpJp1qZn1ugE+BTGmlpacTGxtKieQs2fb2VQ7+fIDc7DyNTQ9r3a0Xfj14uMb30YajnXYepv3/AxYNXyM3Ko37Tujh7OpYo3lr19GPvr4dJupWCqYUxBf+fGGpkZoSZ1X+OREamRqQlZRB/LQFvPJVE1LvF5d2iPT09/ZEq7eHh4dSqVavE3vIDBw6wf/9+wsPDy/X+3Iu9vT3+/v7s37+fvXv3FhPoYWFhxMbGYmFhQbdu3UrZiy6vvvoqp06d4sKFCyUul11emjRpUubqOejaIKpUKoYMGYIkScyZMwd3d3d69+5d6l0AgUDw7COSRAVPPZIkKdVveSLq2bNnCQ4OxsrKqphHe61atVCpVGRmZtKmTRs+//xz+vfvX2y/ubm5ZGRkKEmo6enpaDQaRbTL7jFVIVipMoiPjyc0NJQ2bdpUuep5RXHt8g0WjfyezJQszKxMyc3OQ61W8/aM/rTu1azU7bRaLadOncLOzo6bZxP4dcZGDI0NMLUwITsjl4LcfN6a1g//18rvePMwhJ+JZNPX27h+JRYTCxPavNqcI5tOosnTYGVX1J+dn5tPWlIGoxYNxvfFxmXe972iPSMjo1TRnp6eTnBwMG3bti322dFoNLRp04YhQ4bw8ccfV+jrBzh48CAdO3bEy8uL8+fP69wFGzlyJCtXrmTmzJl8/vnnyvNBQUEMHDgQLy8v1q1bp7NNcnIyrq6u3Llzh2PHjum4GOXl5dGgQQNiY2P59ddfGThwYJnGeG/7inwaTk5OZsyYMZw9e5atW7fi6ur6yO+DQHAvcpLoC36TH0uS6P6z/xNJouXgmRDox44dY+jQoYSHhyt2foLnG9lP/fz58zqiPTQ0FAcHB3x8fMjJyeHmzZts27aNmjVrPvCW8r3BSvKjsLAQCwsLHYFiZmb2VIv2/Px8jh07hoeHR5WtnlcUwUfD2Lp8N7ci47G2s6TzoA6079fyvp+HmJgYYmNjad26NV8P/47QExHYOVVTlifFJtOwWT0++WX043gJOkiSRE5mLobGBugb6PPXNzvYvnIvSKCnpyY/T4Nb83p8uOrdcgc6lSbaAczMzLC3t8fS0hKNRoODgwNqtZoVK1Yod70q68Jvzpw5TJ06lR49ejBjxgzMzc1ZvXo1gYGBdO/enS1btuiI8DFjxrBs2TKgKOxInvgps3fvXnr06IGtrS2LFi2iZcuWxMbG8sUXX7B3717GjRvH4sWL7zumsvaU5+fn07t3b3Jycvjhhx9wcXERlXRBhSAE+tPFU93ikpOTw2effcbixYspLCyskH2GhYUxa9Ys9u7dS0pKCo6OjvTp04fPPvusTLP+BVUD2U+9bdu2tG3bFig6QWZkZBAUFMSaNWv4+eefcXd3p2HDhtSpU0fHOcbHxwcrK6syBSvl5OQoVfZbt24RFhaGJEnFPNorI1ipsggNDcXGxuaZF+cAXm3d8GzjSn5OPoYmhg/8G+Xm5hIZGUnTpk2L+p3zCpSebxmVWoUmX/NQ44i6GMO+tUe4dTUeZ4/adB7YHif3sjnJ6BxbpcLU4j/3kZ6ju2LjYM3xv8+Qm5mHt78HXQb7l1ucAyW2x0RFRXHr1i0cHR3JyMggMTGR119/HY1Gg5ubGzdu3GD48OHcvn2b2rVrV8p3YsqUKfj4+LBgwQI6depEQUEBrq6uLF68mNGjRxdrU+vfvz+///47np6eOlaZMp07d+bChQvMmTOHDz/8kISEBCwsLGjRogV///03PXv2vO94ZHEeHx/PunXrGDlyZIlBaIWFhRgaGjJ58mSGDh3KN998w8KFC4U4F1QsEqB9DMcQlIuntoIeGRlJ9+7dycvLY+XKlbz0UlHiX3kq6AcOHKB79+44OzuzePFiXF1dOXDgAOPGjcPe3p4jR44o4TmCp5c7d+7QuHFjZs6cyfDhw0lOTlaq7KdPnyYoKIgbN27QoEEDnTTUpk2bYmZmVqZK+93BSnJlUaVSFWsFuNfzvSpw+/ZtQkJCnunWlvJw/vx5DAwMFCG3Y+VeNn29DQtbc4zNjMjNyiPjTiZ9PnqZ7iM7l2mfkeev8c2oVWQkZ6JvpI8mT4O1vSUf/TCqzHaPVYHc3FyOHTtG06ZNdVxPMjIyOHnyJCtXriQ4OBgzMzMlldbPzw8/Pz9GjBjxzFoMygK9Xbt2tGzZkgULFhRbdm+VfNeuXbz11luMHj2aqVOnoq+vL4S6oFwoFXTfyejrVXIFvTCX/UGigl4entoKenBwMJ07d2bevHmYm5uXe3+pqan0798fSZLYvn079erVA8DFxQUjIyPeeust3n77bXbv3l3uYwmeHJIk8e6779KiRQuGDx+OSqWiWrVqdO3ala5duyrrxMfHK5NQDx06xMKFC0lKSsLd3V3HOaZx48bFJsmVFqyUlZWlVNqvXbtW7mClyiA/P5+QkBDc3d2FOC+BkjzPX3izHVfPXePykVDS72Sgb6iPd0dPOr3Vrsz73f3zITKSM7FzrlZksaeVSLhxh/3rjjJoevH5EVWVq1evUr169WKWhBYWFtjb27Nnzx4uXrxIw4YNlRa0s2fPcvbsWXJzc5/QqCsXWXgfPnyYY8eO4eXlxb///kteXh4tWrTA3NwcPT09jI11BVPXrl355JNPWLVqFV26dKFdu7J/ngSC+yFcXJ4OntoKuhyTLCMLmketoM+aNYsvvviC119/nfXr1+ss02q1ODk5cevWLY4cOaK0TAiePvLy8hg/fjyzZs3Czs6uzNtptVpu3LiheLSfPXuWoKAgMjMz8fLy0pmE6uHhgYGBwQNF9r3BSunp6WRmZhYLVpJF++Pg4sWLioVlVavsP2k0Gg3Hjh2jQYMGyoWXjFarJeJMFLevJWJfxw7X5vUeqto5NWAud27ewbrGf210yXEpuDR2ZvK68WXej1ar5WpQNLevJeHgYkd9n7qPreqamppKUFAQbdq0KSY2JUkiICCAli1b8tVXXz2W8VQ1fH19OX/+vPJvCwsLcnNzeeGFF8jPz6d169bUrVsXa2trOnToQH5+Pk5OTgwfPpydO3eyYcMG2rZtK/zRBY+MXEHv5DPpsVTQ952bKyro5eCpraBXtNXdH3/8AaDE09+NWq2mU6dOrFmzht9//10I9KcYIyMjVqxY8dDbqdVq6tSpQ506dejXrx9QJIYiIyMV0b5hwwYmT55MQUEB3t7eOu0xbm5uxT6zJQUr3T3pLi0trcRgJflhYFD+HuK7uX37NsnJybRu3VoIgBK42/P8XtRqNW4tGuDWosEj7bu2W03iIuMV8SVpJQryC3F0LXtLXW5WHt9//CuXD4VSkFeAgbEB3v6ejPjqrQcGJZUX2ZKzbt26xcQ5wJ9//kl4eDhbt26t1HFUNeS/56xZszh//jxDhgzh1q1bnDhxAhsbG2JiYvj333+BohZLExMTcnJyqFGjBnZ2dlhbW+Pm5kZCQgI//PADbdq0Ed9NQfmRgMquzT6Vpd+qxVMr0CuSrKwsxcvW3d29xHXk50+fPv3YxiWo2qjVaho2bEjDhg158803gSKBHRoaqgQrrV69mvHjx2NgYECTJk10PNpdXFyKVTdLmnR3d7BSeno6N2/eJCcnBxMTk2Ki/VGDlfLz8wkNDcXNze2xVeufJmTP81atWlWKQOoyuAMhx8NJvH4HAyN98v+/B/2FAWVva9i75jDn917G3NoUK3sLcrPyCNp9kX1r6xAwomy98I/KzZs30Wg01KlTPEApOzubyZMnM3fu3Oeukib3lmdmZnL48GGluBMdHU1CQgLp6ens378fjUbD4cOHSU5OJjs7m5s3b5KSkkJ+fj5HjhwB4KeffqJz58689dZbT/IlCQSCx4QQ6BT9WGq1RVOaS4qkBpSqWWRk5GMbl+DpQ09PDy8vL7y8vBg6dCiSJFFQUMDly5eV1phvvvmGy5cvY25urgh2uUXG0dHxvsFKMvn5+YpHe0UEK4WFhWFlZVXq5/95RqvVEhISQt26dUt03qgIGvi48MH3I9nz6yFuRcTj7FmbFwc9nItL0J6LqPRUGJsXVbBNzI3JTs8haM+lShXoBQUFXL16FU9PzxI/awsXLqRWrVq8/fbblTaGqorcfz5z5kydC185MRmgS5cuyvNhYWGYmZlx8uRJoqKiSE1NZffu3RgaGnLz5k0GDBjw2F+D4BlEkh5DBV2U0MuLEOgU9WXJmJiYlLiOnBCXlpb2WMYkeDZQqVQYGhoqrS7wn5/63R7tc+bMISQkhOrVq+sIdl9fX+zt7YtVbQ0NDalWrRrVqv3nvZ2Xl6dU2e/cuUNUVJROsNLdov3ui4CEhASSkpLE7fNSuHHjBoWFhYqgqizqNanDyCaDHnl7AwP9YudESQIDw8r9mY+MjMTS0rLEOR3Xr19n0aJF7Nu377lyIJFbW9RqNampqfz111/ExMRQq1YtBgwYoBgbFBQUYGBgoAh5Nzc3AGrXrq3sY9q0aaSlpWFgYIBarUaj0TzynTKBQPD0IL7lAsFjRvZTb926tZJKKEkSmZmZBAUFKaJ948aNRERE4OTkVMyj3cbGppiYNjIyws7OThFKkiSRl5enOMckJCRw9epVCgsLMTc3x8rKClNTU6KiokRrSync63lelWnxsi8RQdFkpmRhbG5MTmYuKhU07+5TacfMzMzk5s2btGxZcrDT1KlT6d+/Py1btqy0MVRF5Pfiu+++48cff+TUqVPKssDAQL766it69+6tzCO597Mli3PZF/3uix8hzgXlRgtUdi2msn3WnwPENx10+iJzcnJKXCc7OxtAhBUJKgWVSoWFhQX+/v74+/sDRSfp1NRUzp49y6lTpzh79iw//vgjMTEx1KtXT6my+/j44OPjg7m5eTG7R2NjY4yNjYsFK8mV9ujoaAoLCwkJCSE2NrZYGurzXlEPDQ2lRo0axWwDqyIdXmvFravxHP3rNGmJ6RiZGNLprXZ06N+qUo4nSRJhYWHUrl27RKvbQ4cOsXv3bsLCwirl+FUV2WFs8+bNTJ06FSsrKzp06ABAREQEUVFR9O3bl7Vr15basiJ/7yraDEEgEDw9CIFOUT+gSqVS/K8bNmxYbJ24uDgA6tev/7iHJ3hOUalU2NjY8OKLL/Liiy8CRaIoISFBqbIfO3aMJUuWEB8fj5ubm057jLe3N8bGxsVEu6mpKaampmRmZiJJEu3atUOj0SiiPTY29qkKVqosSvI8r8roG+gzcFo/ug57gYSYROzr2mFXu9qDN3xEEhISyMzMxNvbu9gyjUbDJ598wtSpU5+7cDdZVI8cOZIRI0bw3nvv4ezsTHh4OCdOnGDVqlUcPXqUDRs28NprrwkRLnjsCB/0pwMh0AEzMzO8vLy4fPkyoaGhtG/fvtg6oaGhADRv3vxxD08gUFCpVNSoUYOXX36Zl19+GSgS7bGxsUqw0r///svcuUX+sx4eHkr/u5+fH15eXhgYGJCYmEinTp1YsWKFYotXUrCSLNrlYCU9Pb1iov3ei4BnAY1GQ2hoKK6urk9dYJOdUzXsnCpPmENRlTg8PJyGDRuWaPf5448/kpOTwwcffFCp46hqyL3kH3zwAY6Ojnz55ZfKd8PV1ZW6detiYmLCsWPHOHfu3BMerUAgqMoIgf7/9O/fn8uXL7N3715GjBihs0yr1bJv3z5lvSfNzp07WbBgAWfPniUvLw83NzeGDRvG+++//9B9srm5uaxZs4aff/5Zsf6ytrbGz8+P9957j1deeaWSXoWgolCpVDg5OeHk5ESfPn2Aos9sdHS0Ito3b97M559/Tl5eHo0bNwbA2dkZJyenEiedqdVqLCwssLCwwNHRUdnn3XaPUVFRZGVlYWBg8MSClSqL+3meC+DatWsYGhqW+P4kJyczc+ZMfv7556f+c/AwSJKEWq3mxo0bLFmyhOPHj6Onp4ecBShJEoaGhvTv358ffviByMhIYmNjS7SmFAgqFeHi8lRQtWc9VTA7d+6kQYMGjBkzptiysWPHUq1aNbZs2UJ0dLTOsvXr13Pr1i06depUYnX9cRIYGEhAQADGxsbs3r2bc+fO0aVLF8aOHcurr76KRqMp876ys7Np27YtI0aMwMLCgnXr1hEWFsaaNWtISUmhV69eTJw4sRJfjaCyUKvV1K9fnzfeeIP58+dz4MABkpOTOXfuHO3bt+fixYuYmprSqVMnatWqRZcuXfjkk09Yv3494eHhiu3ovfu0srLCyckJLy8vWrduzQsvvECTJk2oVq0aOTk5REREcOjQIQ4dOsT58+eJiorizp075OfnP4F34dGQPc89PDyeuTsDFUFOTg7Xrl3D3d29xPfnyy+/pHnz5sodnueN0aNH07FjR1q0aAGgtE+qVCrle6Cvr0/t2rWFOBcIBKWikqSn9zInMTGRwsJC4D+f8lOnTuHk5AQU9zTv0aMH27ZtAyApKUnHog5g3759vPzyy9SpU4dvvvmGhg0bcuDAAcaNG0f16tU5evRosYjvx8nhw4fp0KEDnp6enD9/XufW8siRI1m5ciVffvklU6dOLdP+Fi5cyEcffYSLiwuhoaE6t/KTk5OpW7cuGRkZnD17VrEIFDzdpKSk0KhRI2bPns3gwYMpKCggJCSEM2fOKD7tFy9exMTERJl8KrfHODk5lekOzd397PKjpGAlCwuLCk9DLS9arZZTp05hZ2cn5puUwoULF9DX18fLy6vYssuXL+Pv78+5c+dKDX17FpFbW44dO0a7du1o27Ytw4cPp0OHDtSrV09nnaysLOzs7Fi3bh29evVSJpUKBJVNeno6VlZWdPb8GH29yr27pSnMY++V+aSlpT13AWUVxVMt0OvWrUtMTEypy+99aevXr+fdd9+la9eubNiwocRtQkNDmTlzJvv27SMlJQVHR0d69+7N559/rpPu+CTo3Lkz+/btY/ny5YwaNUpnWVhYGO7u7lhaWhIfH1+qn/vdvP/++yxfvpx+/frxxx9/FFverFkzzp49y/z585kwYUKFvQ7Bk2Po0KHcvn2bbdu2lVj9lK0ZL168qAj2M2fOcOXKFWxsbBTBLot2BweHMlWZCwoKion23NxcTE1NsbS0xMrK6qGClSqLmJgYYmNjad26dZW3VXwS3Llzh4sXL9KmTZti7SuSJPHyyy/j5+fHggULntAInyyenp7KfCVzc3N69erFa6+9RuvWralevToAw4cPJyoqiv379z/JoQqeQ4RAf7p4qnvQr1279lDrv/HGG7zxxhv3Xcfd3Z3ffvutHKOqHBITEzlw4ABQJNTvxc3Njdq1axMbG8uOHTuUXuT70aRJEwBCQkKUW7Ayubm5SqtPWcS+oOqj1WqpVasWs2bNKlVUy9aMLVq0UG7RS5JEdna2jkf7X3/9RXh4ODVr1tRxjvHx8aFatWrF9m9gYPDAYKXo6Gjy8/MxNze/b7BSZZGTk/PUeJ4/CbRaLWFhYdSrV6/E3vItW7YQEhLCli1bnsDonjzz5s0jOzuby5cvM3v2bNatW8fatWs5cuQI/fr1Y+jQoWRmZvLHH39w8ODBJz1cgUBQxXmqK+jPEzt27KB79+4YGBiQm5tbooDo0qULe/bsYdKkSfzvf/974D41Gg39+vVjy5YtjBo1ii+++AIHBweuXbvGhAkT+PPPPzE0NOTy5cslWk8Knl8kSSI9PZ2zZ88qE1GDgoKIioqibt26OkmoTZs2xdLS8oGVdrl6f2+lXaPR6Ih2KysrzMzMKlRES5LE+fPnMTQ0LLF1Q1CUChobG0urVq2Kvfc5OTn4+voybdo0hg0b9oRG+GTZtWsXRkZGdOzYESj6zZ41axYnTpwAoHXr1sTHx9O8eXPWr1+vbHdvceTefwsEFYVSQfeY8Hgq6CELRAW9HDzVFfTnicjISADs7OxKFSZyH7687oPQ19fnr7/+YufOnXzyySfUqlULfX19ZaKpmZkZy5cvF+JcUAyVSoWVlRWdOnWiU6dOQJGwSEpKUkT7qVOnWLFiBTdv3qRhw4Y67TFNmjTB1NS01GAle3t7ZZ93ByvFx8cTHh6OJElYWFhUWLBSYmIiaWlpT43n+eMmPz+fyMhIvL29S/z9Wbx4Mfb29gwZMuTxD66K0LVrVwDFFSkgIICAgACWLl3KvHnzOH78OCqVigYNGrB+/Xrat2+Po6Oj8pmNjo5WMjkEAoFACPSnhPT0dOD+7SampqZAkQtFWVm2bBkff/wxfn5+bN++nTp16hAVFcWuXbsYNGiQ0uYgEDwIlUqFnZ0d3bp1o1u3bkCRwL5165YyCXX//v3Mnz+f5ORkPDw8dCahNmrUCENDw1KDleRJ33LLTUnBSneLdisrqzIFKz3NnuePi6tXr2JjY1NsYj1AbGwsX3/9Nbt37y7XXY1nxT5WtiyVJ3+OGTOGfv36MWvWLH788UfFfatPnz7069eP5s2bY2VlRbt27Vi6dCm9e/eutLEJBABogcq+DixuBCZ4SIRAf45ZtmwZY8aMwcXFhb179yp9pZ6enrzwwgu4ubnRr18/vvrqqyrntiF4OlCpVDg6OuLo6EivXr2Aol7m69evc+rUKc6cOcM///zDzJkzycrKolGjRjqi3d3dHX19/WKi3czMDDMzM+Wu0b3BStevXycjI6NMwUpXr14Vnuf3IT09nbi4OFq3bl3i8s8++4zevXuXurwsBAYGMmnSJHr06MHu3buxsLDghx9+YOzYsfz7779s3ry5mFd/aWRnZ9O+fXuCgoIICAhg3bp11K5dm4iICL744gt69erFxx9/zFdfffXI4y0Lsge6JEk4ODiwbNkyBg8ezMyZM9m+fTvff/89hw4dYvjw4Vy+fBkzMzMhzgUCgYIQ6E8Jcg9XTk5OqetkZ2cDYGVlVaZ9zp07FyjygL930peZmRnvvfcen332Gfr6+syfP/9Rhi0QFEOtVlO3bl3q1q3La6+9BhQJ7KtXryqifd26dXzyySdIkoS3t7dOe0zDhg2LOb2UFqyUmZlJeno6aWlpSrCSvr6+Itb19fUV1xbRWlAcSZIIDQ2lTp06yh26uzl69Cg7duwgLCzskY9x+PBhJk2ahKenJ5s3b1aKAYGBgaSkpLBy5UoCAwPLbB/73XffERQUhIuLC3/99ZdyV8TFxYVmzZpRt25d5s+fz4ABAyrdPlalUqFSqRSLxRYtWrB161Z+++035syZw5UrV5SsicOHDwOUGBwmEFQkKklCVcnTDyt7/88DwqrgKUH2ZE5MTCwxRAYgLi5OZ937kZCQQGxsLAAeHh4lriM///333yt+8wJBZaBWq3F1dWXgwIEsWrSIw4cPk5qayokTJxgxYgSSJLFy5UratGlD7dq1CQgIYMqUKWzcuJGoqKhSg5UsLS2pXbu2TrBS06ZNqV69uuLaIkkSZ8+eVYKVkpKSnqpgpcokLi6O3NxcXFxcii0rLCzk448/ZvLkyeXKh5g+fTpQVCi4906dbO86b968+xYn7iYiIgIAPz+/Yi1Ltra2uLq6AjxWm0O5RUf+HX3zzTc5fvy4UiQZPnw4bdu2RavVCnEuEAgAUUF/avDz80OtVlNQUEBkZGSJEzdl/93mzZs/1L5LqxzKJxU53t3GxuYhRy0QPDr6+vo0btyYxo0bM2zYMCRJIj8/n0uXLil2jwsXLuTy5ctYWloW82ivVatWsc+2np4e1tbWWFtbExERgbGxMc2bNycrK4u0tDTS09O5desWOTk5GBsbF/Nof55avTQaDREREbi5uZXoTf/TTz+RmZnJRx999MjHeN7sY+W2l8LCQiwsLOjSpQufffaZItSFqZrgsSBJRY/KPoagXAiB/pRgb2+Pv78/+/fvZ+/evcUEelhYGLGxsVhYWCgT9O5H9erVsbGxISUlhbCwMMWB4N59QtGJrKxtMwJBZaFSqTAyMqJZs2Y0a9YM+M/l5fz580qw0syZMwkLC8Pe3r6YR7udnR0qlYqIiAg6derEnj17MDQ0xNDQUOcC9O5gpbS0NG7cuKETrHT341lNgYyOjsbU1JQaNWoUW5aSksKMGTNYvXo1xsbGj3yMM2fOoNVqMTAwKPXOn7u7O7GxsZw+fbpMAn348OHs2LGDLVu28P777xezj01OTsbQ0JAuXbo88rjLg0qlQl9fH0mSmD9/PuPGjaNatWoiUVQgEOggBPpTxLRp09i/fz9Lly7lnXfe0bkVKif3TZw4UadXNCgoiIEDB+Ll5cW6deuUbdRqNQMHDmTJkiUsW7aM999/X2d/eXl5LF++HIBXX321SgS3VKTLg8zWrVtZtWoVJ0+eJDk5GRsbG+rVq0f79u354IMPxMTBKo7s8tKmTRvFIlGSJDIyMggKClJE+++//87Vq1dxdnamadOmXL9+HR8fH2rUqFGi73RJwUr5+flKlT05OZlr166Rn5+PmZmZUmW3tLTE3Nz8qRdaWVlZXL9+nRYtWpR4h2327Nn4+vrSs2fPch3nabePLemzU1ahrVKpWLt2rfLvqvAbK3hO0EqgquQKt1ZU0MuL+EV4ivD392f27NkEBwfTu3dvgoKCCA8PZ9KkSaxcuZLu3bszefJknW1Wr15NSEgIGzdu5MKFCzrLvvzyS5o3b054eDg9evTgyJEj3Lhxg4MHD9K1a1diYmJwdXXl66+/fpwvs0QCAwMJCAjA2NhYsSnr0qULY8eO5dVXX1VOvmWlsLCQwYMHM3DgQNq0acPu3bsJCwtj9erVZGZmMm/ePIKDgyvp1QgqE5VKhaWlJR07dmTixImsX7+e8PBw7ty5w8qVKzE3NyckJITr16/j6OhI06ZNGTJkCN988w1HjhwhMzOzxFYDQ0ND7OzsqF+/Pj4+PnTo0IH27dvToEEDjIyMSExM5Ny5c+zfv58TJ05w5coVYmNjSU9PL3XeSFUlPDwcR0dHLCwsii27cuUKP/74I4sXLy73xNrKtI/t3bs3lpaWbN++nQsXLvDPP/8wZswY9u3bx6BBg8o1bhn5c7JixQq2bt0KUOaLM7kfXd6HmKQsEAjuRlTQnzKmTJmCj48PCxYsoFOnThQUFODq6srixYsZPXp0sZND//79+f333/H09CyWkGhpacmRI0dYsWIFGzZsoGfPnmRkZGBubo6Hhwdz585lzJgxmJmZPc6XWIyKdnkAmDRpEmvXruXYsWM6Xu9169bFzc2Ndu3alRhnLng6UalU2Nra0qpVK4YNG8b333/PoEGDiI+PV/rZDx8+zKJFi0hMTMTd3V2np93b2xsjI6MyBSvl5ubqBCtFRESg1WorNFipMpFDmxo1alRsmSRJfPrpp7z77rulTi5/0jwu+1i5Uh4UFMT7779PrVq16NatG4sWLcLc3PyB28u/1VXxMyB4xhE96E8FKknMShFUcTp37sy+fftYvnw5o0aN0lkWFhaGu7s7lpaWxMfHl2niV1hYGF5eXrz22mv89ttvlTVsQRVk/PjxXLp0ib1795YojCRJ4saNG5w+fVppjzl79iyZmZl4enrqTEL18PDAwMDggQLr3mAl+QEU62e/N131caPVajl27Bh16tTBycmp2PJ//vmHsWPHEh4ejrW1dbmPt3TpUsaOHUutWrW4efNmieu8/fbb/Prrr/Tv358NGzY8cJ9OTk5KeNKHH35YbPns2bP57LPPmDBhQoXYx/r6+mJqakqLFi3w9vZ+rtNUBVWb9PR0rKyseLHeePT1KrcApSnMY0/UYtLS0hSbaMHDISrogipNZbg8/PDDDxQWFhIQEFDRwxVUYbRaLQkJCaxYsaJUEaxSqXB2dsbZ2Zm+ffsq20VFRSke7X/88QdTpkyhoKCAxo0b60xEdXV1LWaTV1qwkiza09LSHipYqTKJiYlBT0+P2rVrF1uWm5vLpEmTmD17doWIcyhuH1tSH3Zl2scGBgaWa77A9u3b0Wq17Nu3D0NDQ6WVqbTXIhBUDR5DBR1R+y0vQqALqjSV4fKwe/duABo0aMDatWtZuXIlISEhqNVqvLy8GDJkCG+99Za49fyMoVarWbdu3SNt16BBAxo0aMCbb74JFLU3hIWFKaL9p59+4sMPP0RPT4+mTZvStGlT/Pz88PX1pV69esXEmlqtxtzcHHNzc8VD/O5gpfT0dKKjo8nMzNQJVrpbtFc0sgWhj49PiZ/9JUuWYGNjw7BhwyrsmE+7faylpSU9e/ZUWmXkfQtxLhAIyosQ6IIqTUW7PBQWFiqTPydNmkRUVBT/+9//8PX1JTY2lhkzZjBo0CB27NjBmjVrhEgXlIienh6enp54enoyZMgQJEmioKCAy5cvKz3tS5Ys4dKlS5iZmelYPfr6+lK7du0SRbsswGUKCwvJzMxU3GMSEhLIysrC0NBQx6Pd0tKyWCjPwxIREYGdnV2JgvXmzZt89dVX7Ny5s0Idap5G+1i593zfvn1ER0dz8eJFNBoNenp6SnKoQFClET3oTwVCoAuqNBXt8pCWlkZBQQEAhw4dIigoCB8fH6BoElm7du1o1KgRv/32G/7+/owcObK8L0HwHKBSqTA0NFR61EeOHKlMGL1w4YIi2v/3v/8REhJCtWrVigUr2dvblxisZGVlpSMkNRqNUv1NT08nLi6O7OxsJVjp7kdZJ0GmpqaSmJioWFXey+eff84rr7xCu3btHv1NKoWnyT5WFuexsbF0794dDw8PtFot586dUyabCz9zgUBQEQiBLniuyM7OVv6/ffv2ijiXMTU1ZcSIEUyZMoUlS5YIgS54ZFQqFSYmJrRq1YpWrVoBRRNGs7KydDzaN27cyNWrV3F0dFREu1xtt7GxKSba9fX1sbGxKTVYKT09ndjYWHJzc5UqsSzYLSwsivXIS5JEaGgoLi4uJbbOHD9+nK1btyqtJhWNbB87depUevfuzYwZMzA3N2f16tUPtI8NCQlh0qRJ+Pn5Kcu+/PJLTpw4wenTp+nRowefffYZderUISoqimnTppXLPlYW9EOHDsXQ0JDg4GA0Gg09evRg8eLFDBgwQBHnog9dUGXRSlR6j7jwQS83QqALqjTy7f6cnJxS15FFd1luV99diff09CxxHflkHxwcTHZ2tk7lTiAoDyqVCnNzczp06ECHDh2AIoGclpbG2bNnOXXqFGfPnuXnn3/m2rVr1KtXT6fS3rRpUywsLMocrCQL9pSUFJ1gpbur7Onp6Wg0GpydnYuNt7CwkIkTJzJp0qQSJ45WFE+LfaxKpeLEiRPs3buX4OBgLly4wLJlyzh69ChDhgxh3759vP/++/j4+KBWq5VqukajKXZhJBAIBPdD/GIIqjQV7fJgbW2NsbExubm52NralriOHM4iSRKpqalCoAsqFZVKhbW1NZ07d1aciiRJIjExUamyHz9+nGXLlhEXF4ebm5uOaG/SpEmJTi+GhoZUr16d6tWrK8/d7dGelJREZGQkGo0GExMTwsLCsLS0JDk5GVdXV4yNjfn1119JTU3l448/rvT3ISAgoMzOSv7+/iQmJpa63NDQkHHjxjFu3LiKGp5Cy5YtCQkJwc3Njfr169OsWTM2bNjA8uXL+eGHH9izZw/Dhg1jxIgRODg4cPjwYWbMmMGOHTvK5bsuEFQYkrboUdnHEJQLIdAFVZqKdnnQ09PD29ubU6dOcfv27RLXkZ+XhZNA8LhRqVTY29vz8ssv8/LLLwNFov3mzZucPn2aM2fOsHv3bubOnUtaWhoeHh6KYPf19aVRo0YlerTfG6wUEhJCZmYmTk5OZGRkcPv2bd58803i4+OpX78+GRkZ9O7dm4iICDw8PEQVmKK/jZubG1B0IdCgQQM++ugjunTpwvfff8+vv/7KtGnT2L59O+PGjWPOnDm0bdsWAwMDJEkSk0gFAkGZEA1ygiqN7PIAsHfv3mLLH9blAYomhwFcuHChxOWyy0uTJk2ei+p5UFAQ+vr6qFQqxXNeUPVQqVTUrl2b3r17M3v2bHbt2kVCQgJhYWFMnTqV6tWr8+eff9KjRw8cHBzw9/fngw8+4JdfflF6pe/OpTt16hSTJk3Cw8MDBwcHGjZsiJ+fH1euXOHIkSN4e3tjZmbGxYsXad26NVZWVrRr144PPviAc+fOPcF34slxb65fYWEhUHTh07x5c+bPn8+GDRvo3LkzJ0+e5K233iIjI4MVK1Y8ieEKBCUju7hU9kNQLoRAF1R5pk2bBhSlDmo0Gp1l93N58PT0pH///sW2effdd6lWrZrSOnA3eXl5ysl0woQJFf5aHpWdO3fSpUsXbG1tMTMzw9fXl6VLlyrBKI+KRqNh2LBhitAQPF2o1Wrq1avH66+/zvz589m/fz937tzh/PnzjBs3DmNjY9asWcMLL7xArVq1eOmll/jkk09Yt24d48aNo1atWsVi6fX09DAwMOCff/7hzz//5NChQ6SlpXHq1ClGjBhBYWFhmRyTnkXy8/OBIg91KHqvtFqt8j20srKiR48e/Prrr0pK6bfffgsUfddE9VwgEJQVlXRvSUAgqILMmTOHqVOn0qNHDx2Xh8DAQLp3786WLVt0br+PGTOGZcuWAUVhR3e7PEBRNb5Hjx7Y2tqyaNEiWrZsSWxsLF988QV79+5l3LhxLF68+LG+xtIIDAxk0qRJ9OjRg+nTp2NhYcEPP/zAvHnz6NmzJ5s3b37k1oPZs2czb9481Go1qamp7N+/n44dO1bsCxA8USRJQqPREBISwunTpzl9+jR79uwhNjYWS0tLvLy8dIKVnJyc6NOnD+7u7ixZsuRJD/+JIk/yTElJYc+ePSxevJjc3Fzq1atHmzZtGDhwoNLjf6+94uuvv05YWBjnz59/QqMXCHRJT0/HysqKFx1Hoa82qtRjabR57Lm5grS0NJ1sB0HZEQJd8NSwY8cOFixYwJkzZxSXh6FDh5bo8nDw4EH69euHp6cnu3btKtE+Ljw8nDlz5rBnzx4SEhKwsLCgRYsWvP/++/Ts2fNxvaz7cvjwYTp06ICnpyfnz5/XmWQ2cuRIVq5cyZdffsnUqVMfet9hYWE0adKERYsWMXfuXGJiYoRAfw7IysrCw8ODadOm0bhxY86cOcPZs2c5c+YMwcHBmJqaUlBQwK1bt8qVsvksMWTIEIKCglCr1dSsWZM9e/ZgZmZG48aNef/99xkwYICyrizU58+fz0svvYS3t7fwRhdUCYRAf7oQAl0gqMJ07tyZffv2sXz5ckaNGqWzLCwsDHd3dywtLYmPj79vmNO9SJJEhw4dUKlUHDx4EBcXFyHQnxO++OILdu/ezdGjR3VckSRJIjs7m927dxMZGVmlWryeBLKo/umnn5gyZQpr1qyhVatWmJqa0rhxYxITE0lISMDQ0JDevXszZswY2rZtC8D27dvp2rUrenp6YmKooMqgCPRa7z4egX7rOyHQy4GYki8QVFESExOVSZuy/d7duLm5Ubt2bWJjY9mxYwd9+vQp876XLVvGmTNnuHDhghAPzxFZWVmsWLGCbdu2FbMsValUmJmZKZOon3fkivf06dOZOXMmnTp1AmDTpk0kJCTwzz//cOLECZYuXcrvv//OkSNHGDJkCPb29sydO5dr166hp6cnvl8CgeCREAL9OUWr1SJJEmq1WpxAqihnzpxBq9ViYGBQqse7u7s7sbGxnD59uswC/fr160yePJkvvvgCV1fXihyyoIpjZmZGREREmUK9BLB+/XqcnZ11vlsTJ07k008/pUWLFvj4+NChQwfmzp3Lxo0bWbJkCenp6SxcuBADAwPR2iIQCB4Z4eLyHHHy5EmOHDlCQUEBarW6WHVHdiMQXU9Vg8jISADs7OxKjQyvWbOmzrplYdSoUdSvX5+JEyeWf5CCpw4hzsuGJEncuHGD27dvKy4tixYtwtTUlGHDhgFFCa7e3t588sknWFlZodFoaNq0KePHjwcQ4lxQNZF4DDaLT/pFPv2ICvpzxOHDh/n666+Jj4/H3d0db29vfH198ff3p0WLFqWKQMGTIT09HeC+veWytWRZbe9+/fVX/v33X06ePClCZwSC+6BSqTAyMiIiIoKgoCDat2/Pjh07aNOmjXKRI6cb+/r6Kkmw8oRRjUYjvmMCgeCREYrsOeLjjz/m1q1b+Pv7ExoayqVLl/jzzz/p1q0b+vr6NGzYkClTpghbsGeUhIQEPvzwQz766KNitpMCwfNIfn4+169fLzVPYNy4caxbt46aNWtiYmJCSkoKISEhih+6nHJ89//LE+KEOBdUWURQ0VOBEOjPCXLbSlxcHHFxcZibmzNx4kSOHz9OSkoKoaGhDBkyhJUrV/LBBx8IkV4FkE/0OTk5pa6TnZ0NlK1tYdy4cVhbWzNjxoyKGaBA8JTzzjvv8PLLL/PXX3+RkpKis0wW7a+//jqNGzcmNzeXjIwMzp07xw8//EB8fDxQ1Oby559/sn37dvr37w8UTxwVCASCh0Vc4j8nyFZfV69eJT4+HhsbG52ADbl6bmZmxkcffcTrr7/O2bNni6UMCh4f8sTQxMRE5Vb6vcTFxemsez9+//13DAwMsLOzK7ZMFvoBAQFK3+x3333HW2+99cjjFwiqMseOHWPNmjUAvPHGG7zxxhuMGjUKHx8fTExMin3fjI2NGTVqFB9++CETJ07k5MmT1KpVi/j4eP766y/GjBlDjRo1xMRQQdVHqwXKl0JdtmMIyoMQ6M8JckXn8uXLpKen4+HhgbOzM1B0a1YW8N27d2f58uVERESwatUqPvjgA+Hj+4Tw8/NTbptHRkbSsGHDYuuEhoYC0Lx58wfuLyIiotRlHTt25ObNm6xatYqWLVsCUKNGjUccuUBQ9Rk/fjxjxozBzc2NxYsXs2bNGnbt2sW7777LwIEDqVevXrE2lQEDBnDq1CnWrVvHr7/+qjzfp08f5syZAyDm8ggEggpBCPTnBFlgBwcHA+Ds7IyDg4POMgAjIyMcHR2JiIhQqqr3CvTCwkIAYdFYydjb2+Pv78/+/fvZu3dvMYEeFhZGbGwsFhYWdOvW7YH7a9CgQanLZCHi6Oh43/UEgmeBjIwMBg0axLhx44CiC9Rly5axfv16vvzyS/7++2/Gjh1Ljx49dC5U7e3tWbt2LUOHDmXTpk1Ur16dNm3a0Lp1awBRPRc8HTyOHnHR5lVuxKX+c4Jc1ZErrnXq1Ckx3SsxMZGoqCgARcDL28pVeD09PRHA8ZiYNm0aAEuXLkWj0egsW7BgAVDkyyy7uQAEBQXh6elJ//79i20jEAjAwsJCEeeSJOHl5cW3337L+vXr6dGjB5cuXWLEiBG888477Nq1i4yMDJ3tX3zxRZYvX86sWbMICAjA2toaELaKAoGg4hAC/TkiNjaWmJgYzM3Nad68OcbGxsXW2bhxI7GxsQA6Th+nTp3iiy++oEuXLnTp0oXp06dz7ty5Ut0PtFotGo2GwsJCMWGqHPj7+zN79myCg4Pp3bs3QUFBhIeHM2nSJFauXEn37t2ZPHmyzjarV68mJCSEjRs3cuHChVL3nZmZSXx8PPHx8cpdkeTkZOLj40lMTKzU1/Ww7Ny5ky5dumBra4uZmRm+vr4sXbq01M9faeTl5bF27Vr69u2Lk5MThoaGWFhY4Ofnx/Tp00lNTa2cFyCoUtz9m6RSqZTP/0svvcQff/zBihUr8PHxYdu2bfTt25fJkydz7tw58vLylO3y8vLIzc197GMXCMqNcHF5KhAC/TlAFjEhISGkpqaSlZVFYGAgc+fO5cCBA2RmZhITE8PMmTOZN28eWq2Wvn370qRJE3Jycpg6dSqtWrVi1apVdOjQgQ4dOnD8+HEGDRrEt99+W+x4chCSvr5+qZV2IdrLzpQpU9i+fTs5OTl06tQJHx8fdu3axeLFi/n777+L9cn279+f6tWr06FDB7y8vErd7/z586lZsyY1a9ZULsr69u1LzZo1y9TT/rgIDAwkICAAY2Njdu/ezblz5+jSpQtjx47l1Vdffai7BI0bN2bgwIFkZGSwevVqQkND2blzJx4eHsyYMYPGjRvft1df8Gxw72+SXPkuLCzEyMiIESNG8NdffzF58mRsbGz49ttv6du3L0uXLuXatWsAvPvuu+zfv/9xD10gEDwnqCShlJ555L7Ib775hg8++AAPDw86dOjA9evXuXDhArdv3waKWlmcnZ3p27cv06ZNw8TEhPnz5/PJJ5/QqlUrvv/+exo1agQUWf9NmjSJJUuWMGfOHCZNmgRAamoqtra21K9fn7Zt2+Lr60vr1q2rlOATPD0cPnyYDh064Onpyfnz5zEwMFCWjRw5kpUrV/Lll18yderUMu3P2toaNzc3jh49WuzCpl+/fmzatIk2bdpw9OjRCn0dgqqP7JSk0Wh0CgunTp1iyZIlbNq0idzcXF544QWaNm3KwoULycjIwMzM7AmPXCAoG+np6VhZWfGi7VD01YaVeiyNNp89yT+SlpZWYjut4MGICvpzgNxDLk8Q9fX15auvvmLbtm1ERkYSFRXF8ePH2bJlC3v37mXu3LmYmJiwd+9efv75ZwCGDx+uiPPCwkJMTEz46KOPqFevHmvXriU6OhooEkCnTp1CpVLxyy+/EBgYyLBhwwgLC1PGk5iYSHh4eKnjLSwsFL3TAgCmT58OwNixY3XEOcCECRMAmDdv3n294u9l8ODBJYbIvPvuu0CR/d7NmzcfccTPF8eOHcPNzQ2VSqVUlp8m7m6RUqlUaLVa9PX1dSrsLVq04Ndff+Xnn39WJm0vXLiQZcuWYWZmJn6rBAJBpSAE+nOAfOK5e4KoPKnQyMgIJycnmjVrRrdu3XB2dlb6Mfft20dYWBg+Pj60b98eKDqh6enpodFoqFOnDk2aNCE4OJjjx48DRa0r7u7uNG3aFAsLC9auXculS5eoV68eUFRhnzZtGu7u7mzZskUZY1ZWljI5VU9Pr9QUPnHD5/khMTGRAwcOANC5c+diy93c3Khduzbp6ens2LGjTPuMiYlh5MiRJS6rXbu28v/JyckPP+DniJycHCZMmECHDh3ue7H9MISFhTFw4EBq1qyJsbEx9evXZ+LEiaSlpVXI/u9GFuby7+Lw4cN56aWXaNKkCePHj2f58uXK76VM//792bdvH+3ataNJkya89957gEgMFTx9SJL2sTwE5UMI9GccWdDGxMRw/fp1LCwscHFxUbzP717vbpcWgEuXLqHRaHB3d6dOnTrAf9V4+b+3bt0CUCZLaTQazM3NUalUZGRkcOfOHeC/E+LOnTvZvn07UBQ9L3PhwgX8/f0xNTWlSZMmfPLJJzoiSR7bvXaPQrA/u5w5cwatVouBgUGpQUzu7u4AnD59ukz7tLKyKlVQyaFPxsbGwmryPkRGRtK0aVM2bdpU5gujB3HgwAF8fHw4c+YMP/30EyEhIXz22WesWLECX19f5W9TUci/I1999RX9+vXjxx9/5MqVKwQHB7NkyRI+//xzJkyYwO+//05+fr7yW5OXl0dISIjieS6q5wKBoLIQl/7POPKJKDY2lqSkJBwcHJSAorv9ze+dNJWcnExWVhZ6enrUrl0bIyMjneWyQJcnF2ZnZyNJktKGICeQ5ufnAyjbL126VBHe8oWARqOhTZs2nDt3jhdffJFq1arh6uqq07agUqkICgoiPT0dd3d3HBwcSrU0ky8GKiIwRN6XSqUStpKPmcjISADs7OxK/VvWrFlTZ93yIF84Dhs2DBMTk3Lv71klODiYzp07M2/evApJGk5NTaV///5IksT27duVu20uLi4YGRnx1ltv8fbbb7N79+5yHwv+m5OzZ88eFi1axJQpU2jbti3Ozs4cP36cb7/9lmPHjrFjxw7i4uJwcHDA398fKPq9mz59OgEBAUiSJKrngqcTSQKt8EGv6ogK+jPOwoULGThwIDNnziQrK4uaNWvi6uoK3F/AqlQqJbZangQli1W5an316lVu3ryJjY0N1apVUwSsJEk0atQIlUrFpUuXlH2uWbOG+Ph43nnnHQwMDLh27RoajUY5yf34449Uq1aNlStX8s477yjia+fOnfTs2ZMBAwYwbNgwGjRogLOzM1OnTiUlJaXY2NVqdTHv9nv/v6zI+5Jfm1arFZX7x0R6ejrAfcWy3KpV3jaI27dvs3r1amrXrs2sWbPKta9nnZdffplvv/22QsQ5wJIlS0hKSqJXr16KOJd54403qFWrFnv27Kmwibvyhf3YsWMZP34848ePp1mzZtjb29OrVy927tzJsmXLcHNz4/z58wwcOFBpd2nQoAGjR4+ukHEIBALB/RAC/RnH398fOzs7NBoNNWrU4MiRI3Tq1ImAgIBSbxsXFhZiY2OjBBXJful3920CHDlyBCg6abm5uSnbqlQq6tevjyRJSl/5tWvX+OGHHxgxYgQ9e/akoKCAy5cvK+I8JyeHFStW0L9/f+rWrQsUieMtW7YwbNgwtm3bxuDBg9m1axdRUVF88cUX/PLLL0yYMEEnROTUqVPMnTuXPXv2kJWVpVP1vldk34/c3Fzmzp2Lr68vs2fP5syZM+Tm5qJWq0VI0zOGVqtl+PDh5OXlsWHDBmxtbZ/0kKo0FR3G88cffwAlzzNQq9V06tQJgN9//73Cjrl7925UKhUDBgxQLrYlSVJ+v95++2327t1L9+7duXnzJseOHQPQ+d0QvwGCpxbhg/5UIAT6M46vry8LFy5k//79xMXFER8fT2BgII6OjtjY2JS4jXwCHjBgAKampuzdu5c7d+6gr6+vWJDFx8crJ9aAgAB8fX119iH3ZsqV7B9//JHU1FQ+/fRTpd1Frnrm5uayatUqCgoKGDVqlLJNYmIio0aNIjExkc8//5wpU6bQsGFD7O3tGTJkCIMGDeKnn35i06ZNynGNjIy4cOECL730EhYWFixYsICcnBwOHjzIiRMnyMvLU0T2/TAyMqJ379507tyZhQsX0qJFC0xNTbGxsaFLly7MmzeP8+fP67hAiKp6xSJbc93PoSU7Oxso6i1/VEaPHs2ePXv4888/lch2weMhKytLcZeS5xPcy8POMygLubm5pKWlER8fr0yiV6lU6OnpIUkSWq2WWrVqsWDBAqytrfnnn38AkRQqEAgeH0KgP2fY29vTr18/Vq1aVWKS6N00b96cqVOncvLkSb755hvS09PR19cnPDycsWPHsmPHDtq1a8eQIUOAIoEqi2tLS0tsbGzQaDT88ccfHDlyhKFDhwKQkZGBpaWl0ipy8uRJtm/fztixY4H/qlT//PMPt2/fpnnz5syYMUNnbPr6+rz55psALFq0SHm+SZMmrFu3jmHDhqFSqbh16xaDBw/mp59+4u2338bMzIw6deqwbdu2+6ZQqlQq3NzcmDVrliLaFi1axO7du/H19WXHjh0MGDCAPn36KGEloqJWscgTQxMTE0v9W8l3gUqbRPogPvzwQ3755Re2bt3KSy+99GgDFTwy0dHRyt9WvmN3LxU5z0BGT0+PuLg4Tp06BRQVEuTfHZVKpfyOubm50aJFC6ytrUVrm+DZQat9PA9BuRACXXBfJk+ezOzZs1m/fj116tShefPmvPnmmxw8eJA+ffqwadMmpSXl7omU3t7eAERERLBkyRLc3Nzo27cvUDT5q3r16sTExJCamsqqVauoVq0aAwYMAIpOnllZWezbtw+A0NBQXn31VRYuXMiZM2eU6ryJiYlyMr27XSc2Npbo6GgkSeLff//ltddeY9GiRYSEhDBv3jxu3LhBSkpKmSaRRkZGcuHCBQC6dOlCs2bNCAwM5N9//2Xp0qWkpqbSp08fpk6dKmK/Kxg/Pz/UajUFBQWlijO5N/hhg7C0Wi3vvvsuq1evZteuXbz44ovlHq/g4ZHnGUDpcw3KO8+gJFHdqlUrHB0dmTx5MmvWrAH+q47LFwwFBQVAUbHB2NhYtLYJBILHihDoggcyevRowsLCOHz4MKNHj2bkyJEcOHCAjRs3YmdnV+I2stXi5cuXOX78OO+++y6Ojo4AuLq6kpmZSUxMDEeOHGH37t2MHDlSx4daq9Uq/spvv/027u7u/Pnnn/Ts2RNbW1s8PT3p06cPkiSh0WhISkpSto2NjSUmJgZra2tGjx5Nv379MDc3R09Pj7Zt2+Ll5YWLi0uZXvvNmzeJjY1FrVbj4eGhPG9gYEDnzp3Zv38/HTt25KuvvmLJkiUP/d4KSsfe3l5xz9i7d2+x5WFhYcTGxmJhYUG3bt3KvN/CwkIGDx7Mxo0b2bNnD+3atdNZPnjw4ApzDBE8eeQWlrvn0NjY2NCrVy9yc3MZNmwYo0aN4vLly8B/bXkGBgYEBwezdetWxfP8fnfdBIKnBtGD/lQgBLqgzDRq1IghQ4YwcuRIPD0977tuRkYG9erVo7CwkH79+tGkSRPl5JaRkYGTkxMAs2fPpkOHDnTo0EFne1NTU2WC6RtvvMHcuXM5dOgQkZGRnDp1is8++4xu3brRqVMnPDw8dBwlIiMjiYuLw9fXV6mMqlQqJEmiRYsWbN26Vanw34/CwkIiIiKAotYZ+TkZ2aby66+/xtramsmTJ+u41gjKz7Rp04Aie857PacXLFgAwMSJE5UqK0BQUBCenp7079+/2DYFBQW8/vrr/Pvvv+zfv7/EyvvBgwerZJLozp076dKlC7a2tpiZmeHr68vSpUsfWTTGxcUxatQonJ2dMTIywtnZmVGjRinZBo+DuyPAS5tr8KjzDCIjI5kzZw7Xrl3TcXaSXZnmzp3LiBEjMDIyYuXKlfTr148JEyZw5coVLl26xKpVqxg5ciRvvPEG3t7eaLXaCrFuFQgEgrIgfm0ElYKlpSW9e/emQ4cOSvVJvtWs1Wpp3LgxAHfu3OGDDz7QWQ5FJ+saNWpgZmZGVlaWsszU1BR3d3fefPNNAgMD2bNnD7/88otORTwiIoKcnBxatGihVO3lk7JKpaJOnTpYWFg88DXIoSRQdEv83jHKt7tdXFwYNGgQWq1WEZQl3VaXXSJEFa7s+Pv7M3v2bIKDg+nduzdBQUGEh4czadIkVq5cSffu3Zk8ebLONqtXryYkJISNGzcq7UlQdHHVu3dvNm3ahIGBAcOGDaNZs2bFHhUdilMRBAYGEhAQgLGxMbt37+bcuXN06dKFsWPH8uqrrz50YM6VK1do3LgxW7ZsYeHChYSGhrJw4UL++usvvL29uXLlSiW9El1cXFyU71F8fHyJ6zzMPAP5u3Xs2DE+/fRTPvvsMzp16sSXX35ZzHLV3NycsWPH8s4779CwYUOioqJYuHAhjRo1ok2bNnz00Ue4u7vz7bfflvdlCgRVCkmrfSwPQfkQKQuCSsHExITJkyfriCe5x9PKykrpN+3Vqxdt2rQBdCdZmpmZ8frrrzN9+nTOnj1L586ddYKVtFotMTEx3Lp1ixYtWijbaTQawsPDlUme5QmcycjIUBwm2rZtW2yM8F/oiWwzmZSURFxcnDKx7W5klwiZu1+PoHSmTJmCj48PCxYsoFOnThQUFODq6srixYsZPXp0MWeN/v378/vvv+Pp6YmXl5fyfEZGBtu2bQOKWpeqYpW8JA4fPsykSZPw9PRk8+bNShhYYGAgKSkprFy5ksDAQKZOnVqm/Wk0Gvr27cudO3c4evSo8v1zcXHBwcGBdu3a0a9fPy5evFjpQTxmZmZ4eXlx+fJlQkNDad++fbF1yjrPQJ6kfvPmTaZPn86VK1fo1asXSUlJFBQUkJ+frzhIyd+7Ro0a8b///Y/OnTtz+fJlgoKCiImJoXHjxvTv35927dphbGwsqucCgeCxIwS64Ikwf/58+vfvrwjbe0+AKpWK3r17s3r1ar777jtefvllHbEVFxfH22+/TV5eHlu3bsXe3h4oqsJFRUVRrVo16tSpU64xJiYmEhYWBvwnDu49Scsn+tzcXAwMDIiNjSU2NpaaNWvqhDCFhISwbds28vLy8PPzo23btkoV/16hrtFolGq/EAVFBAQEEBAQUKZ1/f39SUxMLPa8tbX1U+nCMX36dKAoWEcW5zITJkxg5cqVzJs3j48++qhMF6Tr1q0jNDSUli1bKuJcpm3btrRq1YoTJ07w+++/89Zbb1XY6yiN/v37c/nyZfbu3cuIESN0lmm1WmWyeP/+/e+7H/k7NG7cOGrUqMGMGTNo3bo1KSkpGBkZYWRkVOJFsbGxMT169KBr164YGBiQm5tbzOFKfA8FzxSSBIgk0aqO+NURPBFMTEzo2LGjUmm+9wQot8GsXbuWmjVr8t5777F8+XKOHz/OsmXLaNOmDfHx8UyfPh17e3vFcSE6OprY2FicnZ2VfT+qKLt+/Trx8fEYGRnRsGFDoHgFXR63XJ27efMm1apVA4qsIOPj43nzzTfx9vZm/fr17Nu3j1GjRtG4cWO+/PJLCgoKlP54GX19ffT09HTeE5Fg+nySmJjIgQMHgJKDfNzc3Khduzbp6ens2LGjTPu8XzAQoMzbqMhgoJ07d9KgQQPGjBlTbNnYsWOpVq0aW7ZsITo6WmfZ+vXruXXrFp06dSqxui4jt7b89ddfHDp0iC+//FKxR7WxsVEuXFQqFTk5Oaxfv57Ro0fz9ddfs2nTJrKysjAwMECSpAfazwoEAsHjQFTQBVUSWZy2bduW5cuXs2bNGr777juysrKoU6cOb7/9Nm+++abirCKvn5CQQHJyMh06dCg1iKksFBYWKi4yTZs2VZ4rKahEo9EQFxdHZmYm5ubmSlx5Tk4Offr04cSJE7z55pt8+umnNG7cmMzMTBYuXMj8+fNJTk5m/vz5ivCfMGECp06d4rXXXqNVq1alVu4FzwdnzpxBq9ViYGBQag+2u7s7sbGxnD59mj59+jxwnydPnlS2K21/cP9goMTExGJpvImJiYq4vdfTfOnSpURGRrJs2TJmzJihXMRCkYDesGEDL7/8MgEBAXzzzTc0bNiQAwcOMG7cOOrWrcuvv/5639ckfz8mT57MRx99VOzumfz9OnDgAF9//TVbt25VtqtduzZnz55lypQpOpPNBQKB4EkiBLqgytO4cWMCAwMJDAwEivyQ73V02L59O/PmzSM+Pp7c3Fzs7OyUdR6lzzs3N1eZKCdX4u6tXsu3y+Pj47l69aoyVihynvjpp584ceIEjo6OrFixAnNzcwoLCzE3N+fzzz9n165dfP/99wwZMkRxlenfvz82NjaMHz8egKtXryqprXXr1iUgIABXV1egeFuQHFMuxPyzg+z/bmdnV+rf9WGCfDIzM0lISAAeHAwUHx9Pdna2jkOOTPPmzYmJidF57u65IPd+VwYOHMjhw4fp2rWrjjiX6dSpE+fOnWPmzJm8/fbbpKSk4OjoyMiRI/n888+xtrZ+4Gvbvn07BgYGvPzyyyUu37dvH+PGjVO+1926dSM1NZUbN24wf/583N3defvttx94HIHgqUcrgUq0uFR1xJlc8NRRkt1a27ZteeONN+jYsSM+Pj58++232NnZ8e677z5SW0haWppyIi9pEiv8d1s9KCiIM2fOAP+1DURGRrJp0yYAxYcddMNQunfvTnZ2Nr/99htQJGpatWrFZ599BoCRkRGLFi1i165dmJub8/PPP9O+fXslWEUOaJLbAu5tixE8/chBPvfrLX+YIJ+HCQa63z6vXbuGJEmlPu7ljTfeIC0tjQ0bNpQ6Nnd3d3777Tfi4+PJy8sjKiqKBQsWlEmcA2RlZZGamqo42shtbwUFBRw9epQhQ4Zw5coVOnbsyLp169i+fTubNm3is88+Q6PR8N133+m8PwKBQPAkERV0wTOBra0to0eP1nnu3LlzJCQkKD3eD1NJv337ttLiUlKbiVarVcT2unXriIuLo3nz5nTv3h0oqnzLFc2VK1eye/dumjZtir+/P+3atcPDw0MJeZIrmgUFBRgaGnL8+HGg6EKkTp06jBkzBiMjI4YPH05AQAAfffQRPj4+3Lp1i4MHD/LXX39x7do1evTowfTp00ttXZCRe9nv9oYWCJ52cnNzlRRhX19fZULt6tWr+f7774mNjaV58+YsX75cmZxes2ZN3n33Xfbt28f58+eLTcIVCJ5JJAmoZBtEUUEvN0KgC55ZfHx8gLLbGUqSRHx8PIaGhsTHx5OUlISNjY3Sz3r3PmRhO23aNP755x8AxowZoxwzKSmJtLQ0atWqxbfffktOTg779+9n5cqVTJ48mcLCQnJzcwHdsBb4r0e4c+fOjBw5EiMjI7RaLXXr1mX48OF88sknTJs2DXd3d3r16sW0adNYvXo177//Pmq1mp9++glDQ8Niry8vLw8jI6MS++gFVRP5s1FaiA88XJDPwwQDlXWfVYXWrVtjZmbGgAEDmDZtGrVr1+bChQssWrQItVpN+/btFXEuV/nl77SdnR2Ojo5kZWWVy5pVIBAIKgoh0AXPPGWtnOfm5rJkyRLmzp2rVNJUKhWhoaHY2dlhY2NDZmYmycnJpKenM3/+fNasWYO+vj5Tp05l0KBByr5q1KhBRkYG1tbWvPjii5iamvL6668DRW0GUVFRBAcHc/jwYTp16gT81/5y9OhRoMhNw8LCQgk4UqvVJCUlKeMaMWKEcvEwYMAA/vnnH/7++2/OnDlDmzZtlB71jIwM/v77bw4ePKh4xDdq1IhXXnmFdu3alSpI5FYBUWl/csgTQxMTE0v14n6YIB9zc3Ps7e1JSEh4YDCQg4NDif3nVRFJkqhbty7Dhg1jyZIlfP755xgZGZGXlwfAoEGDGDNmjJKAfPdvQn5+PikpKdSuXZvq1as/kfELBI8TSSshVXIPunAcKz/irCsQ/D8mJibMmTOHlJQU/v33XxYsWEDTpk1p1qwZDg4OuLq68sYbb/D222/TsmVL1q1bR48ePdi0aROzZs3S6b91cXFBq9UiSRKmpqY6SY+WlpY0bdqUt956ixUrVvDKK68A/1XlZfeMF154QdlGXib3uvft25c6deoo4t3S0hI7Ozuys7OVqHbZZeP06dN88skniptM3759uXXrFmPHjmXKlCmlVlL19fXR19cvNhH1Ue0eY2JiCAwM5N9//yUrK+uht38e8fPzQ61WU1BQUOok0LIG+cjIkznl7cq7v6qASqVCX1+fxYsX8/fff+Pn50eNGjVo164ds2bN4scff8TPzw8oLhwiIiL4888/+fDDDwFE0q9A8ITZuXMnXbp0wdbWFjMzM3x9fVm6dOkjfzfj4uIYNWoUzs7OGBkZ4ezszKhRo5RzZVVFJYnLHIHggSQlJXH69GmCg4PRarV4e3vj6elJ9erVMTU1LVbdTElJoU+fPoSEhPD333/TokULnXVSU1P57bffqFGjBn379lW2S09Px9raGlNTUzIzM4uNw9bWltTUVG7duqW4cMj2j82aNVMmrPr6+irHu3jxIgcPHqRbt26Kn7tGo2HDhg0MGTKEcePGMX/+fGX906dPM27cOPT09OjevTuvvvqqUnksD9evX2fcuHHs2rWLvLw83nnnHb755hvhO/0AOnXqxP79+1m+fDmjRo3SWRYWFoa7uzsWFhbEx8eXqeL9yy+/MHjwYFq2bMmJEyeKLW/dujUnTpzgl19+0bkrVNW5t5Xt2rVr1KxZU0kPLanVraCggFdeeQULCws2bNggEkMFzzTp6elYWVnxgl4f9FWVO99CIxWwv3AzaWlpxdo470dgYCCTJk1S5lRZWFjwww8/MG/ePHr27MnmzZsfKuH4ypUrdOjQAQMDA5YuXYqvry9BQUGMHj0ajUbDoUOHKuT8VilIAoGgXGi12hL//ddff0n6+vpSt27dpNjYWGV5YWGh9PXXX0umpqbSl19+KUmSJOXl5UmSJEmHDh2SVCqV1L59e0mSJEmj0SjbxcbGSiqVSnJwcChxHAYGBpJKpZJycnJ0jiVTUFBQbJvevXtLVlZW0tWrV5Wx5+bmSqGhoVLXrl0llUol9evXT7p48aI0Z84c6dVXX5UCAwOly5cvl+l9ufe9kSRJWrhwoaRSqaTRo0c/cB8CSTpw4IAESF5eXsX+hiNGjJAAaebMmTrPnz17VvLw8JD69etXbJv8/HzJ1dVVAqSjR4/qLDt69KgESG5ubiV+Xp4G7v7MS5Lu9zM6Olr5Ll6/fl2aNWuW5OzsLKWnp5e4rUDwLJGWliYB0gt6faQu+q9X6uMFvT4SIKWlpZV5fIcOHZIAydPTU8rPz9dZJv/WyefMslBQUCC5u7uX+Ft35MgRCZA8PDyq7G+dKBUIBOXk3qqcSqVCq9XSq1cvNm/eTFJSEt26dWP06NEsXLiQrl27MnXqVD7++GPF71zm2LFjgK73utyqEhQUBPzXenB3q0lYWBgajQZXV1eMjY2VW4FqtZojR47wxRdf8PLLL+Pn58err77K3LlzOX36NBqNhvT0dOUYKpUKAwMD3NzcaNSokTJhds6cOZibm9OsWTO+++47XnrpJbZt26aMsbT3RX5v5BafO3fucOnSJdRqNY0aNbrv9oIi/P39mT17NsHBwfTu3ZugoCDCw8OZNGkSK1eupHv37kyePFlnm9WrVxMSEsLGjRu5cOGCzjIDAwM2bdqEra0tffv2ZfPmzVy7do3NmzfTt29fbG1t2bhx40NVqaoS91bA5c/gzZs3+fLLLxk8eDC9evXixRdfZMOGDcybNw8LCwtlnodA8KwjaaXH8nhYpk+fDhSlC9/rqDRhwgQA5s2bd99J83ezbt06QkNDadmypWKXLNO2bVtatWpFSEhIhaYmVyTi10ggqATUajWSJNGzZ0+2bNnChAkTyM7OZu/evbRr144jR44wffp0xR9d9l+WRbg8cVQW+/CfeG/bti1QJGzlZbLzS8uWLZVlADt27KBbt258+eWXqNVqhg4dSoMGDdizZw+9evVi69atWFpaluhQc+HCBfLz80lOTmblypWMHTuWqVOn8scff1BQUMDw4cNJTEwscRJuTk4O586dIywsDEARe6mpqYSHh2NjY0ODBg10xioonSlTprB9+3ZycnLo1KkTPj4+7Nq1S+m5vldM9+/fn+rVq9OhQwe8vLyK7a9Ro0ZcvHiRnj17Mn78eNzc3Bg/fjw9e/bk4sWLysXTs4SjoyP9+vUjOzubf/75B0NDQyZOnKhM3hbuRgLBkyMxMZEDBw4A/+WJ3I2bmxu1a9cmPT2dHTt2lGmff/zxR6n7gyIjBqDKCvSns0QiEDwFyMK1Vq1aDBkyhCFDhpS67rBhwzh69CgpKSkA3Lp1i8zMTMzNzRXhIIvwVq1aAUVCujTxrqenx9WrV1myZAnZ2dlMmjSJOXPm6Bzz6NGjvPTSS7i4uCi9y3IP7q1bt4iOjsba2poZM2boRKD7+vpSv359Tp8+ze3btxU/d5k9e/awfPlyjh07RnZ2NiqVCn9/f7799ltSUlK4du0ajo6OuLi46LxPgvsTEBBAQEBAmdb19/cnMTHxvus4Ojry/fffV8TQnhq6detGt27dWLFiBS1btqRJkyZA2a1YBYJnAklL5fugP9z+z5w5g1arxcDAoFRHKnd3d2JjYzl9+jR9+vR54D7lc2Zp2SDy87IxQ1VDCHSBoAqwZcsWTp8+zaVLlzhw4ACffvop69evZ9euXXz88cdYWVkp1QXZheNu+0M53OjuuPWwsDBCQkIwMTFRhJ1cddfT0yMyMpKcnBzc3d2VtEa5mh0REcHNmzdp3Lgxvr6+wH/iPS4uDktLSywtLbl9+7ZOtfXQoUP07t2brKwsPvroI4YPH45arebff/9l8uTJtG3bloSEBJo1a0atWrUAIdAFjw/5M3zvZFvxGRQ8T2gogEq+camhKMn33nReIyMjZeL23cguVXZ2dqW2mtWsWVNn3fuRmZmphADKhgql7S8+Pp7s7OwqZysrBLpAUAVQqVS0aNGCFi1aMHz4cKCox1yr1eLk5MSWLVto0KABV69epWHDhrz77rt8/vnnXLx4EUdHR0JCQtDT06Np06bKPs3MzEhMTERPT09JToT/UlAvXrwIgLe3t+KkIgv0y5cvk5eXh6+vr/IjJpOcnExiYiLW1tY6HurBwcFMmjRJEefz589XltWqVYvo6Gi+++47NBoNDRs2FIEwgseO6DEXPM8YGhri4ODAkfjtj+V45ubmODk56Tw3bdo0pdf8bmQhf7/zgiyg09LSHnjsuy8MStvn3YI8LS1NCHSBQFA25NaW8ePHK5NJs7KyOHr0KAYGBqSkpPDaa68RHh6ubLNq1Srat2+Pm5ubkpiYlZVFQkIC9vb2yiRQgF27dgHg4eGhHEsWMMHBwQB4eXkVq3bcvHmTuLg4GjZsSI0aNZTnd+3axYkTJ2jRogX9+vUDii4GVCoVFhYWvPLKKyxatAh7e3vlFqawtRMIBILHg7GxMdHR0eTn5z+W45XUOlZS9VxQMkKgCwRPEWZmZrz00kvKv0NDQ0lJSSE4OJhdu3bx/fffk5KSwsSJE6levTpffPEFs2bNYuTIkfzyyy80aNCAS5cusXbtWoKDg6lWrZqSRgr/TW4NCQkBinr0ZAEt//fatWskJydTv3597O3tlW3liTstW7ZUKvby/mTkaoqrq2tlvD0CgUAguA/GxsZVMntC9kq/n0NLdnY2AFZWVmXe3/32Ke+vrPt83AiBLhA85djY2NCuXTslNVHGwMBACWP47rvv8Pb2xsvLi4YNG3LkyBEAGjRooLipyNXs69evExUVhYODQ7HbkxqNhsjISDQaDQ0aNMDCwkJZJrfMuLm56fw4yhWU3NxcsrKyqFevnpggKhAIBAIF+a5qYmJiqXdW4+LidNa9H+bm5tjb25OQkEB8fHyJ68j7c3BwqHLtLSBsFgWCZxpzc3OmTp3K9evXCQsL47PPPmPChAnMnz8fJycnTp48iYuLCzt37iQvL4/09HTCw8NJSkqicePGSnVdroLfuXOHq1evYmpqqohsgISEBAoKCjA3N6datWolWtalpKSQlpZGnTp1xARRgUAgECj4+fmhVqspKCgodRJoaGgo8F8WyIOQTRPk7cq7v8eNEOgCwXOCk5MTvXr1ws/Pj9dee42YmBgiIyP5/PPPcXFxITQ0FG9vb7p27UpOTg5RUVGsXbuWrKwsRaDn5uZy/fp17O3tcXZ2VvadnZ1NvXr10NfXV6wf725tycrK4sKFCxQWFuLq6oqhoeHjffECgUAgqLLY29vj7+8PwN69e4stDwsLIzY2FgsLC7p161amffbv37/U/UGRJfDd61U1hEAXCJ5jXFxclKAaHx8frl27RkhICGvXrqVNmzaMHj2aK1eukJWVxeDBgxkxYgQXL17EwcFBqa5rtVrq1q1L48aNSU1NVSYgSZKkiPTr169z/PhxTExMaNiwobKdQCAQCARQ5PACsHTpUiV9WmbBggUATJw4UacdJSgoCE9PT/r3719smwEDBuDq6srJkyeVrBCZY8eOceLECdzc3BgwYEBlvJxyIwS6QCDQQf7B+vnnn8nLy6N58+YYGBjg6+uLubk5DRs25NSpU7i4uLB9+392Xb179wZg7dq1JCUl6fQQbty4kcOHD1OzZs0y9Q8KBAKB4PnC39+f2bNnExwcTO/evQkKCiI8PJxJkyaxcuVKunfvzuTJk3W2Wb16NSEhIWzcuJELFy7oLDMwMGDTpk3Y2trSt29fNm/ezLVr19i8eTN9+/bF1taWjRs3FktiriqoJJGzLRAIHhKNRsOpU6eoXbu2TqvLokWLmDlzJgEBAQwdOpQaNWqwYMECTpw4QXh4OC+88AI//vgjzs7OIr1RIBAIBMXYsWMHCxYs4MyZMxQUFODq6srQoUMZPXp0sflNBw8epF+/fnh6erJr164SHWpu3rzJjBkz2LFjh2I5HBAQwLRp03B0dHxcL+uhEQJdIBBUGFlZWfz999/89NNPhISEUK9ePTp37kxqaioLFy6kY8eObNy4EVtb2yc9VIFAIBAIqixCoAsEgkojJycHfX19Lly4wKeffsr58+cpKChg/vz5jBw58kkPTyAQCASCKokQ6AKB4LFy584d8vLyFKtFgUAgEAgEugiBLhAIBAKBQCAQVCGEi4tAIBAIBAKBQFCFEAJdIBAIBAKBQCCoQgiBLhAIBAKBQCAQVCGEQBcIBAKBQCAQCKoQQqALBAKBQCAQCARVCCHQBQKBQCAQCASCKoQQ6AKBQCAQCAQCQRVCCHSBQCAQCAQCgaAKIQS6QCAQCAQCgUBQhfg/VpGV2dbzdS0AAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "data = coordinates_w_disp\n", - "fig = plt.figure(figsize= (10,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "norm = plt.Normalize(5000, 150000)\n", - "colors = cm.viridis(norm(color_vals))\n", - "# colors = cm.plasma(norm(color_vals))\n", - "\n", - "# colors = cm.viridis(norm)\n", - "\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand', labelpad= 10)\n", - "ax.set_ylabel('Solar PV capacity', labelpad= 10)\n", - "ax.set_zlabel('Wind Farm capacity', labelpad= 10)\n", - "ax.view_init(elev=30, azim=110)\n", - "plt.tight_layout()\n", - "plt.rcdefaults()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\856756224.py:22: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", - " scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "data = coordinates_wo_stor\n", - "fig = plt.figure(figsize= (10,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "norm = plt.Normalize(5000, 150000)\n", - "colors = cm.viridis(norm(color_vals))\n", - "# colors = cm.viridis(norm)\n", - "\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand', labelpad= 10)\n", - "ax.set_ylabel('Solar PV capacity', labelpad= 10)\n", - "ax.set_zlabel('Wind Farm capacity', labelpad= 10)\n", - "ax.view_init(elev=30, azim=110)\n", - "plt.tight_layout()\n", - "plt.rcdefaults()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution_wo_disp.critical_regions)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution_w_disp.critical_regions)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution_wo_stor.critical_regions)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "solution_wo_disp.critical_regions[0].A[numpy.abs(solution_wo_disp.critical_regions[0].A) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].b[numpy.abs(solution_wo_disp.critical_regions[0].b) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].C[numpy.abs(solution_wo_disp.critical_regions[0].C) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].d[numpy.abs(solution_wo_disp.critical_regions[0].d) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].E[numpy.abs(solution_wo_disp.critical_regions[0].E) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].f[numpy.abs(solution_wo_disp.critical_regions[0].f) < 10**(-3)] = 0\n", - "\n", - "\n", - "solution_wo_disp.critical_regions[1].A[numpy.abs(solution_wo_disp.critical_regions[1].A) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].b[numpy.abs(solution_wo_disp.critical_regions[1].b) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].C[numpy.abs(solution_wo_disp.critical_regions[1].C) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].d[numpy.abs(solution_wo_disp.critical_regions[1].d) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].E[numpy.abs(solution_wo_disp.critical_regions[1].E) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].f[numpy.abs(solution_wo_disp.critical_regions[1].f) < 10**(-3)] = 0\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "cr = 0\n", - "# Create a NumPy array matrix\n", - "A = solution_wo_disp.critical_regions[cr].A\n", - "b = solution_wo_disp.critical_regions[cr].b\n", - "C = solution_wo_disp.critical_regions[cr].C\n", - "d = solution_wo_disp.critical_regions[cr].d\n", - "E = solution_wo_disp.critical_regions[cr].E\n", - "f = solution_wo_disp.critical_regions[cr].f\n", - "\n", - "\n", - "# Create symbolic variables\n", - "t1, t2, t3 = sympy.symbols('θ1 θ2 θ3')\n", - "\n", - "# Convert the NumPy array to a SymPy Matrix\n", - "# sympy_matrix = \n", - "\n", - "# Multiply the symbolic variables with the SymPy Matrix\n", - "x = sympy.Matrix(A) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(b)\n", - "l = sympy.Matrix(C) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(d)\n", - "Cr = sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]) - sympy.Matrix(f)\n", - "\n", - "Cr_eq = sympy.Eq(sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]), sympy.Matrix(f))\n", - "\n", - "# print(x)\n", - "# print(l)\n", - "# # print(Cr)\n", - "# print(Cr_eq)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1.0 θ_{2}\\\\0.800000000000003 θ_{1} - 0.599999999999995 θ_{2}\\\\0.661541201655627 θ_{1} - 0.496155901241714 θ_{2} - 0.562310021407276 θ_{3}\\\\- 1.0 θ_{1}\\\\- 1.0 θ_{2}\\\\- 0.800000000000003 θ_{1} + 0.599999999999995 θ_{2}\\\\- 1.0 θ_{2}\\\\- 0.800000000000003 θ_{1} + 0.599999999999995 θ_{2}\\\\1.0 θ_{1}\\\\1.0 θ_{2}\\\\1.0 θ_{3}\\\\- 1.0 θ_{1}\\\\- 1.0 θ_{2}\\\\- 1.0 θ_{3}\\end{matrix}\\right] = \\left[\\begin{matrix}0.999999999999901\\\\0.583639242295807\\\\-0.0796832643050932\\\\0\\\\0\\\\0.0963607577041876\\\\0\\\\0.0963607577041874\\\\1.0\\\\1.0\\\\1.0\\\\0\\\\0\\\\0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Eq(Matrix([\n", - "[ 1.0*θ2],\n", - "[ 0.800000000000003*θ1 - 0.599999999999995*θ2],\n", - "[0.661541201655627*θ1 - 0.496155901241714*θ2 - 0.562310021407276*θ3],\n", - "[ -1.0*θ1],\n", - "[ -1.0*θ2],\n", - "[ -0.800000000000003*θ1 + 0.599999999999995*θ2],\n", - "[ -1.0*θ2],\n", - "[ -0.800000000000003*θ1 + 0.599999999999995*θ2],\n", - "[ 1.0*θ1],\n", - "[ 1.0*θ2],\n", - "[ 1.0*θ3],\n", - "[ -1.0*θ1],\n", - "[ -1.0*θ2],\n", - "[ -1.0*θ3]]), Matrix([\n", - "[ 0.999999999999901],\n", - "[ 0.583639242295807],\n", - "[-0.0796832643050932],\n", - "[ 0],\n", - "[ 0],\n", - "[ 0.0963607577041876],\n", - "[ 0],\n", - "[ 0.0963607577041874],\n", - "[ 1.0],\n", - "[ 1.0],\n", - "[ 1.0],\n", - "[ 0],\n", - "[ 0],\n", - "[ 0]]))" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Cr_eq" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}116470.588235296 θ_{1} - 30652.9411764708 θ_{2} + 14028.9926657568\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[116470.588235296*θ1 - 30652.9411764708*θ2 + 14028.9926657568]])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution_wo_disp.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution_wo_disp.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}50.0\\\\20.0\\\\100.000000000002 θ_{1}\\\\180.033927056828\\\\99.9999999999995 θ_{2}\\\\117.647058823531 θ_{1} - 88.235294117647 θ_{2} + 14.1706996623806\\\\0\\\\50.0\\\\56.5450947130336\\\\99.9999999999996 θ_{2}\\\\117.647058823531 θ_{1} - 88.235294117647 θ_{2} + 14.1706996623806\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[ 50.0],\n", - "[ 20.0],\n", - "[ 100.000000000002*θ1],\n", - "[ 180.033927056828],\n", - "[ 99.9999999999995*θ2],\n", - "[117.647058823531*θ1 - 88.235294117647*θ2 + 14.1706996623806],\n", - "[ 0],\n", - "[ 50.0],\n", - "[ 56.5450947130336],\n", - "[ 99.9999999999996*θ2],\n", - "[117.647058823531*θ1 - 88.235294117647*θ2 + 14.1706996623806]])" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}Inv_{LiI Power stored}\\\\Sf_{H2}\\\\S_{Power}\\\\Af_{H2O}\\\\Af_{Solar}\\\\Af_{Wind}\\\\Pf_{LiI}\\\\Pf_{LiI discharge}\\\\Pf_{PEM}\\\\P_{PV}\\\\P_{WF}\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[Inv_LiI_Power_stored],\n", - "[ Sf_H2],\n", - "[ S_Power],\n", - "[ Af_H2O],\n", - "[ Af_Solar],\n", - "[ Af_Wind],\n", - "[ Pf_LiI],\n", - "[ Pf_LiI_discharge],\n", - "[ Pf_PEM],\n", - "[ P_PV],\n", - "[ P_WF]])" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(example_wo_disp.A_df.columns)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "cr = 1\n", - "# Create a NumPy array matrix\n", - "A = solution_wo_disp.critical_regions[cr].A\n", - "b = solution_wo_disp.critical_regions[cr].b\n", - "C = solution_wo_disp.critical_regions[cr].C\n", - "d = solution_wo_disp.critical_regions[cr].d\n", - "E = solution_wo_disp.critical_regions[cr].E\n", - "f = solution_wo_disp.critical_regions[cr].f\n", - "\n", - "\n", - "# Create symbolic variables\n", - "t1, t2, t3 = sympy.symbols('θ1 θ2 θ3')\n", - "\n", - "# Convert the NumPy array to a SymPy Matrix\n", - "# sympy_matrix = \n", - "\n", - "# Multiply the symbolic variables with the SymPy Matrix\n", - "x = sympy.Matrix(A) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(b)\n", - "l = sympy.Matrix(C) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(d)\n", - "Cr = sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]) - sympy.Matrix(f)\n", - "\n", - "Cr_eq = sympy.Eq(sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]), sympy.Matrix(f))\n", - "\n", - "# print(x)\n", - "# print(l)\n", - "# # print(Cr)\n", - "# print(Cr_eq)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1.0 θ_{1}\\\\0.799999999999998 θ_{1} - 0.600000000000002 θ_{2}\\\\- 1.0 θ_{3}\\\\- 1.0 θ_{1}\\\\1.0 θ_{2}\\\\1.0 θ_{3}\\\\- 1.0 θ_{1}\\\\- 1.0 θ_{3}\\end{matrix}\\right] = \\left[\\begin{matrix}0.629549052869718\\\\-0.0963607577042292\\\\0\\\\0\\\\1.0\\\\1.0\\\\0\\\\0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Eq(Matrix([\n", - "[ 1.0*θ1],\n", - "[0.799999999999998*θ1 - 0.600000000000002*θ2],\n", - "[ -1.0*θ3],\n", - "[ -1.0*θ1],\n", - "[ 1.0*θ2],\n", - "[ 1.0*θ3],\n", - "[ -1.0*θ1],\n", - "[ -1.0*θ3]]), Matrix([\n", - "[ 0.629549052869718],\n", - "[-0.0963607577042292],\n", - "[ 0],\n", - "[ 0],\n", - "[ 1.0],\n", - "[ 1.0],\n", - "[ 0],\n", - "[ 0]]))" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Cr_eq" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}75599.9999999996 θ_{1} + 9106.09160304963\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[75599.9999999996*θ1 + 9106.09160304963]])" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution_wo_disp.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution_wo_disp.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}50.0\\\\19.9999999999998\\\\99.9999999999994 θ_{1}\\\\180.033927056828\\\\133.333333333333 θ_{1} + 16.0601262840381\\\\0\\\\0\\\\50.0\\\\56.5450947130338\\\\133.333333333333 θ_{1} + 16.0601262840381\\\\0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[ 50.0],\n", - "[ 19.9999999999998],\n", - "[ 99.9999999999994*θ1],\n", - "[ 180.033927056828],\n", - "[133.333333333333*θ1 + 16.0601262840381],\n", - "[ 0],\n", - "[ 0],\n", - "[ 50.0],\n", - "[ 56.5450947130338],\n", - "[133.333333333333*θ1 + 16.0601262840381],\n", - "[ 0]])" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}Inv_{LiI Power stored}\\\\Sf_{H2}\\\\S_{Power}\\\\Af_{H2O}\\\\Af_{Solar}\\\\Af_{Wind}\\\\Pf_{LiI}\\\\Pf_{LiI discharge}\\\\Pf_{PEM}\\\\P_{PV}\\\\P_{WF}\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[Inv_LiI_Power_stored],\n", - "[ Sf_H2],\n", - "[ S_Power],\n", - "[ Af_H2O],\n", - "[ Af_Solar],\n", - "[ Af_Wind],\n", - "[ Pf_LiI],\n", - "[ Pf_LiI_discharge],\n", - "[ Pf_PEM],\n", - "[ P_PV],\n", - "[ P_WF]])" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(example_wo_disp.A_df.columns)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "demand_list = [i[0] for i in demand.values]\n", - "wind_list = [i[0] for i in wind.values]\n", - "solar_list = [i[0] for i in solar.values]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "coordinates = []\n", - "from itertools import product\n", - "for i,j,k in zip(demand_list[:8760], solar_list[:8760], wind_list[:8760]):\n", - " l = solution_w_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates.append((i, j, k, l[0][0]))\n", - " else:\n", - " coordinates.append((i, j, k, 0))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "5763" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "[i[3] for i in coordinates].count(0)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot([i[3] for i in coordinates])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "44888820.3021367" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum([i[3] for i in coordinates])" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "coordinates = []\n", - "from itertools import product\n", - "for i,j,k in zip(demand_list[:8760], solar_list[:8760], wind_list[:8760]):\n", - " l = solution_wo_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates.append((i, j, k, l[0][0]))\n", - " else:\n", - " coordinates.append((i, j, k, 0))\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "7947" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "[i[3] for i in coordinates].count(0)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot([i[3] for i in coordinates])" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "47778925.13204975" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum([i[3] for i in coordinates])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/a2z/parametric.ipynb b/examples/a2z/parametric.ipynb deleted file mode 100644 index c3dab816..00000000 --- a/examples/a2z/parametric.ipynb +++ /dev/null @@ -1,1571 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# LP before solving parametric LP " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems mixed integer linear program (MILP) is reformulated as a mulitparametric linear program (mpLP)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "\n", - "$X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$X^S_{r,t}$ - network binary for inventory of resource r $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Problem" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " p \\in \\{LI_c, LI_d, WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " r \\in \\{charge, power, wind, solar\\} \n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\left[\\begin{matrix}1302\\\\0\\\\990\\\\567\\end{matrix}\\right]^T \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}Inv_{charge}\\\\C_{wind}\\\\C_{solar}\\\\P_{LI_c}\\\\P_{LI_d}\\end{matrix}\\right] \\leq \\left[\\begin{matrix} 100\\\\100\\\\100\\\\100\\\\100\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}-S_{power}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] \\leq \\left[\\begin{matrix}-300 & 0 & 0\\\\0 & 100 & 0\\\\0 & 0 & 100\\end{matrix}\\right] \\left[\\begin{matrix}\\beta_{power}\\\\ \\alpha_{WF}\\\\\\alpha_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_4\\left[\\begin{matrix} - Inv_{charge} \\\\ -S_{power} \\\\ C_{wind} \\\\ C_{solar} \\end{matrix}\\right] + \\left[\\begin{matrix}0.89 & -1 & 0 & 0\\\\-1 & 1 & 0.85 & 0.75\\\\0 & 0 & -1 & 0\\\\0 & 0 & 0 & -1\\end{matrix}\\right] \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] = 0\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in \\mathcal{A}_p \\hspace{1cm} \\forall p \\in \\{WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in \\mathcal{B}_r \\hspace{1cm} \\forall r \\in \\{Power\\} \n", - "\\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.components.result import Result\n", - "# import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "import sympy\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.utils.math_utils import min_max, normalize\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\2642984639.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\2642984639.py:16: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "\n", - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')\n", - "\n", - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)\n", - "\n", - "# Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region\n", - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "solar = normalize(solar_houston)\n", - "wind = normalize(wind_houston)\n", - "demand = normalize(ercot)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Define temporal scale}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare resources}$" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0,1))#(min(demand['COAST']), 1))\n", - "\n", - "# H2O = Resource(name='H2O', cons_max=100, basis='tons', label='Water', varying= [VaryingResource.UNCERTAIN_AVAILABILITY], varying_bounds= (0.3, 0.95))\n", - "H2O = Resource(name='H2O', cons_max=500, basis='tons', label='Water')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, vopex=1302, capex=0, fopex=0, prod_max=50,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, vopex=990, capex=0, fopex=0,\n", - " prod_max=100, label='Wind mill array', basis='MW', varying = [VaryingProcess.UNCERTAIN_CAPACITY])\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, vopex=567, capex=0, fopex=0,\n", - " prod_max=100, label='Solar PV', basis='MW', varying = [VaryingProcess.UNCERTAIN_CAPACITY])\n", - "\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=50, label='Small modular reactors (SMRs)', block='power_gen')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare location(s)}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "region_wo_disp = Location(name='region', processes={\n", - " LiI, WF, PV, PEM}, scales=scales, label='some region wo dispatchable')\n", - "region_w_disp = Location(name='region', processes={\n", - " LiI, WF, PV, PEM, ASMR}, scales=scales, label='some region w dispatchable')\n", - "region_wo_stor = Location(name='region', processes={\n", - " WF, PV, PEM}, scales=scales, label='some region wo storage')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "example_wo_disp = Scenario(name='example_wo_disp', demand={region_wo_disp: {Power:100, H2: 20}}, network=region_wo_disp, scales=scales, label='example scenario without dispatchable')\n", - "example_w_disp = Scenario(name='example_w_disp', demand={region_w_disp: {Power:100, H2: 20}}, network=region_w_disp, scales=scales, label='example scenario with dispatchable')\n", - "example_wo_stor = Scenario(name='example_wo_stor', demand={region_wo_stor: {Power:100, H2: 20}}, network=region_wo_stor, scales=scales, label='example scenario without storage')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 3\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 3\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 3\n", - "Uncertain process production (P) x 2\n", - " For a total of 11 (8 fixed, and 3 uncertain)\n", - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 4\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 4\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 4\n", - "Uncertain process production (P) x 2\n", - " For a total of 13 (10 fixed, and 3 uncertain)\n", - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 0\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 3\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 3\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 1\n", - "Uncertain process production (P) x 2\n", - " For a total of 8 (5 fixed, and 3 uncertain)\n" - ] - } - ], - "source": [ - "matrix_wo_disp = formulate(scenario=example_wo_disp, model_class=ModelClass.MPLP)\n", - "matrix_w_disp = formulate(scenario=example_w_disp, model_class=ModelClass.MPLP)\n", - "matrix_wo_stor = formulate(scenario=example_wo_stor, model_class=ModelClass.MPLP)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter Username\n", - "Academic license - for non-commercial use only - expires 2024-02-14\n", - "[]\n", - "[]\n", - "[]\n" - ] - } - ], - "source": [ - "solution_wo_disp = solve(matrix = matrix_wo_disp, interface = 'native', name = 'results_wo_disp', solver = 'ppopt') \n", - "solution_w_disp = solve(matrix = matrix_w_disp, interface = 'native', name = 'results_w_disp', solver = 'ppopt') \n", - "solution_wo_stor = solve(matrix = matrix_wo_stor, interface = 'native', name = 'results_wo_stor', solver = 'ppopt') \n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates_wo_disp = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution_wo_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates_wo_disp.append((i, j, k, l[0][0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates_w_disp = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution_w_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates_w_disp.append((i, j, k, l[0][0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates_wo_stor = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution_wo_stor.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates_wo_stor.append((i, j, k, l[0][0]))" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\2862229716.py:22: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", - " scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "from matplotlib import rc\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "data = coordinates_wo_disp\n", - "fig = plt.figure(figsize= (10,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "norm = plt.Normalize(5000, 150000)\n", - "colors = cm.viridis(norm(color_vals))\n", - "# colors = cm.viridis(norm)\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax)#, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand', labelpad= 10)\n", - "ax.set_ylabel('Solar PV capacity', labelpad= 10)\n", - "ax.set_zlabel('Wind Farm capacity', labelpad= 10)\n", - "ax.view_init(elev=30, azim=110)\n", - "plt.tight_layout()\n", - "plt.rcdefaults()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\736772587.py:24: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", - " scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "data = coordinates_w_disp\n", - "fig = plt.figure(figsize= (10,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "norm = plt.Normalize(5000, 150000)\n", - "colors = cm.viridis(norm(color_vals))\n", - "# colors = cm.plasma(norm(color_vals))\n", - "\n", - "# colors = cm.viridis(norm)\n", - "\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand', labelpad= 10)\n", - "ax.set_ylabel('Solar PV capacity', labelpad= 10)\n", - "ax.set_zlabel('Wind Farm capacity', labelpad= 10)\n", - "ax.view_init(elev=30, azim=110)\n", - "plt.tight_layout()\n", - "plt.rcdefaults()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12700\\856756224.py:22: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", - " scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "data = coordinates_wo_stor\n", - "fig = plt.figure(figsize= (10,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "norm = plt.Normalize(5000, 150000)\n", - "colors = cm.viridis(norm(color_vals))\n", - "# colors = cm.viridis(norm)\n", - "\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=colors, cmap='virdis', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand', labelpad= 10)\n", - "ax.set_ylabel('Solar PV capacity', labelpad= 10)\n", - "ax.set_zlabel('Wind Farm capacity', labelpad= 10)\n", - "ax.view_init(elev=30, azim=110)\n", - "plt.tight_layout()\n", - "plt.rcdefaults()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution_wo_disp.critical_regions)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution_w_disp.critical_regions)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution_wo_stor.critical_regions)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "solution_wo_disp.critical_regions[0].A[numpy.abs(solution_wo_disp.critical_regions[0].A) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].b[numpy.abs(solution_wo_disp.critical_regions[0].b) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].C[numpy.abs(solution_wo_disp.critical_regions[0].C) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].d[numpy.abs(solution_wo_disp.critical_regions[0].d) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].E[numpy.abs(solution_wo_disp.critical_regions[0].E) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[0].f[numpy.abs(solution_wo_disp.critical_regions[0].f) < 10**(-3)] = 0\n", - "\n", - "\n", - "solution_wo_disp.critical_regions[1].A[numpy.abs(solution_wo_disp.critical_regions[1].A) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].b[numpy.abs(solution_wo_disp.critical_regions[1].b) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].C[numpy.abs(solution_wo_disp.critical_regions[1].C) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].d[numpy.abs(solution_wo_disp.critical_regions[1].d) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].E[numpy.abs(solution_wo_disp.critical_regions[1].E) < 10**(-3)] = 0\n", - "solution_wo_disp.critical_regions[1].f[numpy.abs(solution_wo_disp.critical_regions[1].f) < 10**(-3)] = 0\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "cr = 0\n", - "# Create a NumPy array matrix\n", - "A = solution_wo_disp.critical_regions[cr].A\n", - "b = solution_wo_disp.critical_regions[cr].b\n", - "C = solution_wo_disp.critical_regions[cr].C\n", - "d = solution_wo_disp.critical_regions[cr].d\n", - "E = solution_wo_disp.critical_regions[cr].E\n", - "f = solution_wo_disp.critical_regions[cr].f\n", - "\n", - "\n", - "# Create symbolic variables\n", - "t1, t2, t3 = sympy.symbols('θ1 θ2 θ3')\n", - "\n", - "# Convert the NumPy array to a SymPy Matrix\n", - "# sympy_matrix = \n", - "\n", - "# Multiply the symbolic variables with the SymPy Matrix\n", - "x = sympy.Matrix(A) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(b)\n", - "l = sympy.Matrix(C) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(d)\n", - "Cr = sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]) - sympy.Matrix(f)\n", - "\n", - "Cr_eq = sympy.Eq(sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]), sympy.Matrix(f))\n", - "\n", - "# print(x)\n", - "# print(l)\n", - "# # print(Cr)\n", - "# print(Cr_eq)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1.0 θ_{2}\\\\0.800000000000003 θ_{1} - 0.599999999999995 θ_{2}\\\\0.661541201655627 θ_{1} - 0.496155901241714 θ_{2} - 0.562310021407276 θ_{3}\\\\- 1.0 θ_{1}\\\\- 1.0 θ_{2}\\\\- 0.800000000000003 θ_{1} + 0.599999999999995 θ_{2}\\\\- 1.0 θ_{2}\\\\- 0.800000000000003 θ_{1} + 0.599999999999995 θ_{2}\\\\1.0 θ_{1}\\\\1.0 θ_{2}\\\\1.0 θ_{3}\\\\- 1.0 θ_{1}\\\\- 1.0 θ_{2}\\\\- 1.0 θ_{3}\\end{matrix}\\right] = \\left[\\begin{matrix}0.999999999999901\\\\0.583639242295807\\\\-0.0796832643050932\\\\0\\\\0\\\\0.0963607577041876\\\\0\\\\0.0963607577041874\\\\1.0\\\\1.0\\\\1.0\\\\0\\\\0\\\\0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Eq(Matrix([\n", - "[ 1.0*θ2],\n", - "[ 0.800000000000003*θ1 - 0.599999999999995*θ2],\n", - "[0.661541201655627*θ1 - 0.496155901241714*θ2 - 0.562310021407276*θ3],\n", - "[ -1.0*θ1],\n", - "[ -1.0*θ2],\n", - "[ -0.800000000000003*θ1 + 0.599999999999995*θ2],\n", - "[ -1.0*θ2],\n", - "[ -0.800000000000003*θ1 + 0.599999999999995*θ2],\n", - "[ 1.0*θ1],\n", - "[ 1.0*θ2],\n", - "[ 1.0*θ3],\n", - "[ -1.0*θ1],\n", - "[ -1.0*θ2],\n", - "[ -1.0*θ3]]), Matrix([\n", - "[ 0.999999999999901],\n", - "[ 0.583639242295807],\n", - "[-0.0796832643050932],\n", - "[ 0],\n", - "[ 0],\n", - "[ 0.0963607577041876],\n", - "[ 0],\n", - "[ 0.0963607577041874],\n", - "[ 1.0],\n", - "[ 1.0],\n", - "[ 1.0],\n", - "[ 0],\n", - "[ 0],\n", - "[ 0]]))" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Cr_eq" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}116470.588235296 θ_{1} - 30652.9411764708 θ_{2} + 14028.9926657568\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[116470.588235296*θ1 - 30652.9411764708*θ2 + 14028.9926657568]])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution_wo_disp.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution_wo_disp.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}50.0\\\\20.0\\\\100.000000000002 θ_{1}\\\\180.033927056828\\\\99.9999999999995 θ_{2}\\\\117.647058823531 θ_{1} - 88.235294117647 θ_{2} + 14.1706996623806\\\\0\\\\50.0\\\\56.5450947130336\\\\99.9999999999996 θ_{2}\\\\117.647058823531 θ_{1} - 88.235294117647 θ_{2} + 14.1706996623806\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[ 50.0],\n", - "[ 20.0],\n", - "[ 100.000000000002*θ1],\n", - "[ 180.033927056828],\n", - "[ 99.9999999999995*θ2],\n", - "[117.647058823531*θ1 - 88.235294117647*θ2 + 14.1706996623806],\n", - "[ 0],\n", - "[ 50.0],\n", - "[ 56.5450947130336],\n", - "[ 99.9999999999996*θ2],\n", - "[117.647058823531*θ1 - 88.235294117647*θ2 + 14.1706996623806]])" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}Inv_{LiI Power stored}\\\\Sf_{H2}\\\\S_{Power}\\\\Af_{H2O}\\\\Af_{Solar}\\\\Af_{Wind}\\\\Pf_{LiI}\\\\Pf_{LiI discharge}\\\\Pf_{PEM}\\\\P_{PV}\\\\P_{WF}\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[Inv_LiI_Power_stored],\n", - "[ Sf_H2],\n", - "[ S_Power],\n", - "[ Af_H2O],\n", - "[ Af_Solar],\n", - "[ Af_Wind],\n", - "[ Pf_LiI],\n", - "[ Pf_LiI_discharge],\n", - "[ Pf_PEM],\n", - "[ P_PV],\n", - "[ P_WF]])" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(example_wo_disp.A_df.columns)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "cr = 1\n", - "# Create a NumPy array matrix\n", - "A = solution_wo_disp.critical_regions[cr].A\n", - "b = solution_wo_disp.critical_regions[cr].b\n", - "C = solution_wo_disp.critical_regions[cr].C\n", - "d = solution_wo_disp.critical_regions[cr].d\n", - "E = solution_wo_disp.critical_regions[cr].E\n", - "f = solution_wo_disp.critical_regions[cr].f\n", - "\n", - "\n", - "# Create symbolic variables\n", - "t1, t2, t3 = sympy.symbols('θ1 θ2 θ3')\n", - "\n", - "# Convert the NumPy array to a SymPy Matrix\n", - "# sympy_matrix = \n", - "\n", - "# Multiply the symbolic variables with the SymPy Matrix\n", - "x = sympy.Matrix(A) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(b)\n", - "l = sympy.Matrix(C) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(d)\n", - "Cr = sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]) - sympy.Matrix(f)\n", - "\n", - "Cr_eq = sympy.Eq(sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]), sympy.Matrix(f))\n", - "\n", - "# print(x)\n", - "# print(l)\n", - "# # print(Cr)\n", - "# print(Cr_eq)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1.0 θ_{1}\\\\0.799999999999998 θ_{1} - 0.600000000000002 θ_{2}\\\\- 1.0 θ_{3}\\\\- 1.0 θ_{1}\\\\1.0 θ_{2}\\\\1.0 θ_{3}\\\\- 1.0 θ_{1}\\\\- 1.0 θ_{3}\\end{matrix}\\right] = \\left[\\begin{matrix}0.629549052869718\\\\-0.0963607577042292\\\\0\\\\0\\\\1.0\\\\1.0\\\\0\\\\0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Eq(Matrix([\n", - "[ 1.0*θ1],\n", - "[0.799999999999998*θ1 - 0.600000000000002*θ2],\n", - "[ -1.0*θ3],\n", - "[ -1.0*θ1],\n", - "[ 1.0*θ2],\n", - "[ 1.0*θ3],\n", - "[ -1.0*θ1],\n", - "[ -1.0*θ3]]), Matrix([\n", - "[ 0.629549052869718],\n", - "[-0.0963607577042292],\n", - "[ 0],\n", - "[ 0],\n", - "[ 1.0],\n", - "[ 1.0],\n", - "[ 0],\n", - "[ 0]]))" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Cr_eq" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}75599.9999999996 θ_{1} + 9106.09160304963\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[75599.9999999996*θ1 + 9106.09160304963]])" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution_wo_disp.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution_wo_disp.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}50.0\\\\19.9999999999998\\\\99.9999999999994 θ_{1}\\\\180.033927056828\\\\133.333333333333 θ_{1} + 16.0601262840381\\\\0\\\\0\\\\50.0\\\\56.5450947130338\\\\133.333333333333 θ_{1} + 16.0601262840381\\\\0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[ 50.0],\n", - "[ 19.9999999999998],\n", - "[ 99.9999999999994*θ1],\n", - "[ 180.033927056828],\n", - "[133.333333333333*θ1 + 16.0601262840381],\n", - "[ 0],\n", - "[ 0],\n", - "[ 50.0],\n", - "[ 56.5450947130338],\n", - "[133.333333333333*θ1 + 16.0601262840381],\n", - "[ 0]])" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}Inv_{LiI Power stored}\\\\Sf_{H2}\\\\S_{Power}\\\\Af_{H2O}\\\\Af_{Solar}\\\\Af_{Wind}\\\\Pf_{LiI}\\\\Pf_{LiI discharge}\\\\Pf_{PEM}\\\\P_{PV}\\\\P_{WF}\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[Inv_LiI_Power_stored],\n", - "[ Sf_H2],\n", - "[ S_Power],\n", - "[ Af_H2O],\n", - "[ Af_Solar],\n", - "[ Af_Wind],\n", - "[ Pf_LiI],\n", - "[ Pf_LiI_discharge],\n", - "[ Pf_PEM],\n", - "[ P_PV],\n", - "[ P_WF]])" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(example_wo_disp.A_df.columns)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "demand_list = [i[0] for i in demand.values]\n", - "wind_list = [i[0] for i in wind.values]\n", - "solar_list = [i[0] for i in solar.values]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "coordinates = []\n", - "from itertools import product\n", - "for i,j,k in zip(demand_list[:8760], solar_list[:8760], wind_list[:8760]):\n", - " l = solution_w_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates.append((i, j, k, l[0][0]))\n", - " else:\n", - " coordinates.append((i, j, k, 0))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "5763" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "[i[3] for i in coordinates].count(0)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot([i[3] for i in coordinates])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "44888820.3021367" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum([i[3] for i in coordinates])" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "coordinates = []\n", - "from itertools import product\n", - "for i,j,k in zip(demand_list[:8760], solar_list[:8760], wind_list[:8760]):\n", - " l = solution_wo_disp.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates.append((i, j, k, l[0][0]))\n", - " else:\n", - " coordinates.append((i, j, k, 0))\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "7947" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "[i[3] for i in coordinates].count(0)" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot([i[3] for i in coordinates])" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "47778925.13204975" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum([i[3] for i in coordinates])" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/aggregation/ahc-2.ipynb b/examples/aggregation/ahc-2.ipynb deleted file mode 100644 index a18dcf41..00000000 --- a/examples/aggregation/ahc-2.ipynb +++ /dev/null @@ -1,1363 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multiscale Energy Systems MILP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this example, we highlight the scenario aggregation capabilities of energiapy\n", - "\n", - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices. The goal is to simultaneously meet the demand for power and hydrogen in Houston through all available technology options.\n", - "\n", - "The problem can be modeled over three scales\n", - "\n", - "0, network scale with 1 time period where the network decisions such as setting up a unit are taken\n", - "\n", - "1, a daily scale for convenience with 365 time periods, if the demand is to be met on a daily basis\n", - "\n", - "2, scheduling and demand scales with 8760 time periods, where the resource flows are determined\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Alkaline Water Electrolyzers (AWE)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n", - "\n", - "Given the large problem size, the model can be aggregated using Agglomerative Hierarchial Clustering (AHC) which provides a set of representative days over which the problem can be solve. Understandably, there is a loss of model accuracy.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a mulit-scale modeling and optimization MILP framework for the simultaneous design and schedule planning of a single location energy system \n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} (\\alpha \\times Capex_{l,p,t} + Fopex_{l,p,t}) \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "import numpy\n", - "from itertools import product\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "weather20_df = pandas.read_csv('../data/ho_solar20.csv', index_col=0)\n", - "weather_df = weather20_df[~weather20_df.index.str.contains(\n", - " '02-29')] # remove leap days" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils\n", - "\n", - "The stretch feature allows you to stretch the data over the annual scale, by repeating the same daily values over the hours in a day. This is important for hierarchial clustering as the lengths need to match" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price20 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020, stretch = True)\n", - "ng_price_df = ng_price20.drop(columns='scales')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
CH4
00.093304
10.093304
20.093304
30.093304
40.093304
......
87550.105357
87560.105357
87570.105357
87580.105357
87590.105357
\n", - "

8760 rows × 1 columns

\n", - "
" - ], - "text/plain": [ - " CH4\n", - "0 0.093304\n", - "1 0.093304\n", - "2 0.093304\n", - "3 0.093304\n", - "4 0.093304\n", - "... ...\n", - "8755 0.105357\n", - "8756 0.105357\n", - "8757 0.105357\n", - "8758 0.105357\n", - "8759 0.105357\n", - "\n", - "[8760 rows x 1 columns]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ng_price_df" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "ercot20 = pandas.read_excel('../data/Native_Load_2020.xlsx')\n", - "ercot20['index'] = weather20_df.index\n", - "ercot20 = ercot20.set_index('index')\n", - "ercot20 = ercot20[~ercot20.index.str.contains('02-29')]\n", - "demand_df = ercot20[['COAST']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization (We will cluster to get representative days)\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated',\n", - " varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True)\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen',\n", - " block='Resource', store_max=10000, store_min=smallM)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=3516428, fopex=87910,\n", - " vopex=0, store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953,\n", - " prod_max=bigM, prod_min=smallM, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0,\n", - " prod_max=bigM, prod_min=smallM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=smallM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion={H2: -0.050, Power: 1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW')\n", - "\n", - "PSH_discharge = Process(name='LiI', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex=0.01, vopex=0.001,\n", - " fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1},\n", - " capex=730, fopex=114, vopex=3.6, prod_max=bigM, prod_min=smallM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)')\n", - "\n", - "AWE = Process(name='AWE', conversion={Power: -1, H2: 0.019, O2: 0.7632, H2O: -0.1753}, capex=1.1*10**6, fopex=16918,\n", - " vopex=0, prod_max=bigM, prod_min=smallM, label='Alkaline water electrolysis (AWE)', citation='Demirhan et al. 2018 AIChE paper')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, PV, SMRH, SMR, DAC,\n", - " AWE, H2_L_c, H2_L_d, AqOff, ASMR, PSH, NGCC}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare location" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: weather_df[['dni']], WF: weather_df[['wind_speed']]}, demand_factor={Power: demand_df}, price_factor={\n", - " CH4: ng_price_df}, scales=scales, label='Houston', expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare scenario" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=2, label='full_case', demand={houston: {H2: 1000, Power: 1000}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/cf_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![WF capacity factor](plots/cf_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Power demand factor](plots/df_pw.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Natural gas price factor](plots/pf_ng.png)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Formulate MILP" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize for minimum cost" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 481962 rows, 411875 columns and 1353617 nonzeros\n", - "Model fingerprint: 0xe5464b38\n", - "Variable types: 411859 continuous, 16 integer (16 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+03, 1e+06]\n", - "Presolve removed 346058 rows and 311013 columns\n", - "Presolve time: 1.62s\n", - "Presolved: 135904 rows, 100862 columns, 425068 nonzeros\n", - "Variable types: 100850 continuous, 12 integer (12 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 35885 1.8351454e+12 0.000000e+00 4.998690e+09 5s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 41486 8.8925091e+09 0.000000e+00 0.000000e+00 7s\n", - "\n", - "Root relaxation: objective 8.892509e+09, 41486 iterations, 4.51 seconds (5.68 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 8.892509e+09 8.8925e+09 0.00% - 6s\n", - "\n", - "Explored 1 nodes (41486 simplex iterations) in 6.96 seconds (8.08 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 8.89251e+09 8.89251e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (1.2547e-05) exceeds tolerance\n", - "Best objective 8.892509080947e+09, best bound 8.892509080943e+09, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(8, 6))" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Total Costs](plots/total.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results, y_axis='Inv', component='H2_L',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schedule for H2L](plots/sch_h2l.png)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reduce scenario " - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.aggregation.ahc import agg_hierarchial, agg_hierarchial_elbow, IncludeAHC, Fit" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "from pyearth import Earth\n", - "import matplotlib.pyplot as plt\n", - "def mars_elbow(wcss:list, range_list:list):\n", - " X = [numpy.array([i]) for i in range(len(wcss))]\n", - " mars = Earth()\n", - " mars.fit(X, wcss)\n", - " y_hat = mars.predict(X)\n", - " y_line = y_hat ## for plotting\n", - " #determine the elbow point\n", - " m = numpy.diff(y_line)/numpy.diff(range(len(wcss)))\n", - " m = [numpy.round(i, 2) for i in m]\n", - " m_un = list(set(m))\n", - " elbow = max([m.index(i) + range_list[0] for i in sorted(m_un)])\n", - " \n", - " fig, ax = plt.subplots(figsize=(8, 6))\n", - " x = range_list\n", - " \n", - " ax.plot(x, y_line, label = 'MARS fit', color = 'steelblue', alpha = 0.6)\n", - "\n", - " ax.scatter(x, wcss, color = 'indianred')\n", - " plt.axvline(x = elbow, alpha = 0.6, linestyle = 'dotted', label = f\"elbow at {elbow}\", color = 'slategrey', zorder = 3) \n", - "\n", - " plt.title(f'Clustering using AHC for Houston for cost and demand')\n", - " plt.xlabel('Cluster Size')\n", - " plt.ylabel('WCSS')\n", - " plt.grid(alpha=0.3)\n", - " plt.legend()\n", - " \n", - " return elbow \n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "range_list = list(range(30, 120))\n", - "# wcss = agg_hierarchial_elbow(scenario= scenario, scale_level=1, include= [IncludeAHC.CAPACITY, IncludeAHC.DEMAND, IncludeAHC.COST], range_list = range_list)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "# elbow = mars_elbow(wcss, range_list)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "scenario_reduced, repdays, info = reduce_scenario(scenario=scenario, periods=55, scale_level=1, method=Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.DEMAND, IncludeAHC.COST])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_reduced = formulate(scenario= scenario_reduced, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 72762 rows, 62195 columns and 204209 nonzeros\n", - "Model fingerprint: 0x982b058e\n", - "Variable types: 62179 continuous, 16 integer (16 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+03, 1e+06]\n", - "Presolve removed 52270 rows and 46985 columns\n", - "Presolve time: 0.20s\n", - "Presolved: 20492 rows, 15210 columns, 64068 nonzeros\n", - "Variable types: 15198 continuous, 12 integer (12 binary)\n", - "Found heuristic solution: objective 7.689937e+10\n", - "Found heuristic solution: objective 8.968144e+09\n", - "\n", - "Root relaxation: objective 8.892675e+09, 9368 iterations, 0.31 seconds (0.37 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 8.892675e+09 8.8927e+09 0.00% - 0s\n", - "\n", - "Explored 1 nodes (9368 simplex iterations) in 0.78 seconds (0.74 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 4: 8.89267e+09 8.89267e+09 8.96814e+09 7.68994e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (2.5630e-06) exceeds tolerance\n", - "Warning: max bound violation (4.2705e-06) exceeds tolerance\n", - "Best objective 8.892674616743e+09, best bound 8.892674616743e+09, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_reduced = solve(scenario = scenario_reduced, instance= milp_reduced, solver= 'gurobi', name=f\"reduced_res\", print_solversteps = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "error = (results.output['objective'] - results_reduced.output['objective'])*100/results.output['objective']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-0.1861519563120341" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "error*100" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_reduced, y_axis='Inv', component='H2_L',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/aggregation/ahc.ipynb b/examples/aggregation/ahc.ipynb deleted file mode 100644 index c50e22f3..00000000 --- a/examples/aggregation/ahc.ipynb +++ /dev/null @@ -1,844 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Agglomerative Hierarchial Clustering (AHC)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example, we use AHC to reduce scenarios" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.kmeans import kmeans, IncludeKmeans\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "from pyearth import Earth\n", - "import pyomo.environ as pyo\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "idx = [(i,j,k) for i,j,k in product(range(1), range(365), range(24))]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "def mars_elbow(wcss:list, range_list:list):\n", - " X = [numpy.array([i]) for i in range(len(wcss))]\n", - " mars = Earth()\n", - " mars.fit(X, wcss)\n", - " y_hat = mars.predict(X)\n", - " y_line = y_hat ## for plotting\n", - " #determine the elbow point\n", - " m = numpy.diff(y_line)/numpy.diff(range(len(wcss)))\n", - " m = [numpy.round(i, 2) for i in m]\n", - " m_un = list(set(m))\n", - " elbow = max([m.index(i) + range_list[0] for i in sorted(m_un)])\n", - " \n", - " fig, ax = plt.subplots(figsize=(8, 6))\n", - " x = range_list\n", - " \n", - " ax.plot(x, y_line, label = 'MARS fit', color = 'steelblue', alpha = 0.6)\n", - "\n", - " ax.scatter(x, wcss, color = 'indianred')\n", - " plt.axvline(x = elbow, alpha = 0.6, linestyle = 'dotted', label = f\"elbow at {elbow}\", color = 'slategrey', zorder = 3) \n", - "\n", - " plt.title(f'Clustering using AHC for Houston for cost and demand')\n", - " plt.xlabel('Cluster Size')\n", - " plt.ylabel('WCSS')\n", - " plt.grid(alpha=0.3)\n", - " plt.legend()\n", - " \n", - " return elbow \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str, index:list):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " # df = df[['DNI', 'Wind Speed']]\n", - " # df = df.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - " df['idx'] = index\n", - " df = df.set_index('idx')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "weather_ny = load_data('ny', idx)[['DNI', 'Wind Speed']]\n", - "weather_ny = weather_ny.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - "weather_sd = load_data('sd', idx)[['dni', 'wind_speed']]\n", - "weather_ho = load_data('ho', idx)[['dni', 'wind_speed']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "demand_sd = pandas.read_excel('../data/HistoricalEMSHourlyLoad-2019.xlsx', index_col= 0)[['SDGE']]\n", - "demand_ho = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_ny = pandas.DataFrame(pandas.read_csv('../data/NYC_load.csv')['Load']) #from Will and Doga\n", - "# Fix Index\n", - "demand_sd = demand_sd.set_index(weather_ho.index)\n", - "demand_ho = demand_ho.set_index(weather_ho.index)\n", - "demand_ny = demand_ny.set_index(weather_ho.index)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Natural gas prices from Henry Hub Price Index** \n", - "\n", - "We use the special function energiapy.make_henry_price_df because of special requirements such as filling in empty data points (weekends, public holidays). Such function will be generalized in the next update of energipy" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2019, stretch=True)\n", - "# ng_price = ng_price.set_index(weather_sd.index[::24])\n", - "ng_price = ng_price.drop(columns= 'scales')\n", - "ng_price = remove_outliers(ng_price, sd_cuttoff = 3)\n", - "ng_price = ng_price.set_index(weather_ho.index)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated', varying = [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "H2 = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource')\n", - "\n", - "H2_L = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource', store_max = 10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='kg', label='Carbon dioxide - sequestered', store_max = 10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM**2,\n", - " price= 0.001, basis='kg', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM**2, price=1, basis='kg', label='Natural gas', varying= [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='kg', label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='kg', label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='kg', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='kg', label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=bigM, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=bigM, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520, fopex = 945, vopex = 0.0515,\\\n", - " prod_max= bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-50, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = bigM, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -4.17*10**(-4), H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -0.00128, CO2_AQoff: 1, CO2: -1}, capex = 0.00552, vopex = 0.00414, fopex = 0, prod_max= bigM, label='Offshore aquifer CO2 sequestration (SMR)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Basis all in terms of power**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, prod_max=100, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "# WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=100, label='Wind mill array', varying= VaryingProcess.deterministic_capacity, basis = 'MW')\n", - "\n", - "# PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=100, varying = VaryingProcess.deterministic_capacity, label = 'Solar PV', basis = 'MW')\n", - "\n", - "# #909.091\n", - "# SMRH = Process(name='SMRH', conversion={Power: -1, CH4: -3387.387, H2O: -21351.351, H2: 909.091, CO2_Vent: 927.93, CO2: 8483.636}, capex =2520, fopex = 945, vopex = 0.0515,\\\n", - "# prod_max= 10000, label='Steam methane reforming + CCUS')\n", - "\n", - "# # SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1, CH4: -3387.387, H2O: -21351.351, H2: 909.091, CO2_Vent: 8556.667}, prod_max=10000, label='Steam methane reforming')\n", - "\n", - "# H2FC = Process(name='H2FC', conversion = {H2:-50, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = 100, label = 'hydrogen fuel cell')\n", - "\n", - "# DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -1, H2O: -20974.093, CO2_DAC: 5181.347}, prod_max=10000, label='Direct air capture')\n", - "\n", - "\n", - "# H2_L_c = Process(name='H2_L_c', conversion={Power: -1, H2_L: 2398.0815, H2: -2398.0815}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= 10000, label='Hydrogen geological storage')\n", - "\n", - "# H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= 10000, label='Hydrogen geological storage discharge')\n", - "\n", - "# AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -1, CO2_AQoff: 781.25, CO2: -781.25}, capex = 0.00552, vopex = 0.00414, fopex = 0, prod_max= 10000000, label='Offshore aquifer CO2 sequestration (SMR)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ho[['dni']], WF: weather_ho[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ho}, price_factor = {CH4: ng_price}, scales=scales, label='Houston', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "sandiego = Location(name='SD', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_sd[['dni']], WF: weather_sd[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_sd}, price_factor = {CH4: ng_price}, scales=scales, label='SanDiego', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "newyork = Location(name='NY', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ny[['dni']], WF: weather_ny[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ny}, price_factor = {CH4: ng_price}, scales=scales, label='NewYork', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "Train_H2 = Transport(name= 'Train_H2', resources= {H2}, trans_max= bigM, trans_loss= 0.03, trans_cost= 1.667*10**(-3)\\\n", - " , label= 'Railway for hydrogen transportation')\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.001, trans_cost= 0.5*10**(-3), label= 'Railroad transport')\n", - "\n", - "distance_matrix = [\n", - " [2366],\n", - " [2620] \n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid, Train_H2]],\n", - " [[Grid, Train_H2]], \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [houston, sandiego], sink_locations= [newyork], distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= network, scales= scales, purchase_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'full_case', demand = {newyork: {Power: 80}, houston: {Power: 0}, sandiego: {Power: 0}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "range_list = list(range(30,150))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## AHC with all locations and all data" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", - "c:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyearth\\earth.py:802: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n", - "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n", - " pruning_passer.run()\n", - "c:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyearth\\earth.py:1055: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n", - "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n", - " coef, resid = np.linalg.lstsq(B, weighted_y[:, i])[0:2]\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "wcss = agg_hierarchial_elbow(scenario= scenario, scale_level=1, include= [IncludeAHC.CAPACITY, IncludeAHC.DEMAND, IncludeAHC.PRICE], range_list = range_list)\n", - "elbow = mars_elbow(wcss, range_list)\n", - "# elbow = 62\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint demand\n", - "objective cost\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 301012 rows, 269673 columns and 778315 nonzeros\n", - "Model fingerprint: 0xcd91188c\n", - "Variable types: 269642 continuous, 31 integer (31 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 2e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [6e-01, 1e+10]\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 262552 rows and 240349 columns\n", - "Presolve time: 1.02s\n", - "Presolved: 38460 rows, 29324 columns, 113085 nonzeros\n", - "Variable types: 29324 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 2.366764e+09, 16379 iterations, 0.71 seconds (1.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 2.366764e+09 2.3668e+09 0.00% - 1s\n", - "\n", - "Explored 1 nodes (16379 simplex iterations) in 2.04 seconds (2.22 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 2.36676e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.366764429378e+09, best bound 2.366764429378e+09, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "scenario_reduced, repday_reduced, info_reduced = reduce_scenario(scenario=scenario, periods=elbow, scale_level=1, method=Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.DEMAND, IncludeAHC.PRICE])\n", - "milp_reduced = formulate(scenario= scenario_reduced, \\\n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK, Constraints.DEMAND, Constraints.EMISSION}, \\\n", - " objective=Objective.COST, write_lpfile = True)\n", - "results_reduced = solve(scenario = scenario_reduced, instance= milp_reduced, solver= 'gurobi', name=f\"reduced_res\", print_solversteps = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "# def resulter(elbow):\n", - "# scenario_reduced, repday_reduced, info_reduced = reduce_scenario(scenario=scenario, periods=elbow, scale_level=1, method=Clustermethod.agg_hierarchial, include = [IncludeAHC.capacity, IncludeAHC.demand, IncludeAHC.cost])\n", - "# milp_reduced = formulate(scenario= scenario_reduced, demand = {newyork: {Power: 80}, houston: {Power: 0}, sandiego: {Power: 0}}, \\\n", - "# constraints={Constraints.cost, Constraints.inventory, Constraints.production, Constraints.resource_balance, Constraints.transport, Constraints.mode}, \\\n", - "# objective=Objective.cost)\n", - "# results_reduced = solve(scenario = scenario_reduced, instance= milp_reduced, solver= 'gurobi', name=f\"reduced_res\", print_solversteps = True)\n", - "# return results_reduced\n", - "\n", - "# results = {i: resulter(30 + i*10) for i in range(6)}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Reduced Case Study**" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "# o = 2.526191289141e+09\n", - "# opts = [results[i].output['objective'] for i in range(6)]\n", - "# error = [(o - results[i].output['objective'])*100/o for i in range(6)]\n", - "# clusters = [30 + i*10 for i in range(6)]\n", - "\n", - "# rc('font', **{'family': 'serif', 'serif': ['Computer Modern'], 'size': 16})\n", - "# fig, ax = plt.subplots(figsize = (9,6))\n", - "# ax.stem([30 + i*10 for i in range(6)], error)\n", - "# plt.xlabel('cluster size')\n", - "# plt.ylabel(f\"% solution error\")\n", - "# plt.title(f\"Influnce of cluster size on solution accuracy\")\n", - "# plt.rcdefaults()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/4AAAI6CAYAAACekpPbAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydeZhUxfX3vz37ys6wKAEEEdHgjlsii6JBk4gRFY2KUaO+RsjPLSJqxBVxN+K+oaiocY8oShRQo0aNigsKiqCCyAzLzDD70vf9o63mTs9dTt1b997q7vN5Hh+H7uqqukstp76nTsUMwzDAMAzDMAzDMAzDMExGkhN1BRiGYRiGYRiGYRiGCQ42/BmGYRiGYRiGYRgmg2HDn2EYhmEYhmEYhmEyGDb8GYZhGIZhGIZhGCaDYcOfYRiGYRiGYRiGYTIYNvwZhmEYhmEYhmEYJoNhw59hGIZhGIZhGIZhMhg2/BmGYRiGYRiGYRgmg2HDn2EYhmEYhmEYhmEyGDb8GYYh09TUhLlz5+Loo4/G0KFDUVZWhqKiIvTv3x9jx47F+eefj4ULF6KxsTHqqmY9W7Zswd57743tttsOH3zwQdTVUcLrr7+OI444Ar1790ZBQQH69++PMWPG4Lrrrou6ahmBYRi49957sf/++6NLly4oKirCoEGDMHHiRDzzzDNRV8+Vzz77DNOmTcPuu++Obt26IS8vD127dsWIESNw1FFH4ZprrsHSpUvR0tKitNwlS5YgFot1+G/u3LlKywiKQYMGdap76n/5+fno378/Jk6ciH/9618dfn/KKafY/m7mzJm25c6cOdPyN0uWLCHX/dJLL0V5eTn+/ve/e7x6/4wZM8b2+gcNGtQp/Zo1axzvtdM9YxiG8UvMMAwj6kowDKM/L7zwAv7617/iu+++w957743DDz8cAwYMQFtbG1avXo2XX34Zn3/+OQCgvLwckyZNwrXXXou+fftGXPPs5Omnn8YxxxwDADjnnHNw++23R1wjf8ybNw9TpkxBfn4+zjrrLOy66674/vvvcfvtt6OmpgZRD2W33norqqurMWbMGIwZMybSunjl9NNPxwMPPIA+ffrg7LPPRr9+/fDhhx/ivvvuw0EHHSRllIXNzJkzcdVVV8EwDBx55JHYe++90b9/f9TV1WHZsmV45plnUF1dDQAYMmQIvvnmG2Vlb9iwAYsWLQIAnHTSSQCAhx56CKeccoqyMoLi+eefR11dHd566y3ce++9AIAZM2Zg5513BpBYDKqsrMQLL7yAt956CwBwzDHH4NFHH0VBQQHeffddrFq1Co899hgWLlwIAPjjH/+I3/zmNxg5ciRGjhxpWe6nn36KTz/9FK+//jrmzp2Lv//979hxxx0xfvx49OnTh1T3srIy1NfXo6ysDFu3bvV7KzyxaNEibNiwAV9++SWuvfZaAMAZZ5yBX//61ygrK8PEiRM7pK+vr8dzzz0HALj33nuT93TevHkA4HjP0o3q6mrceuutABILRFYLIQzDhIzBMAzjws0332zEYjGjvLzcePrpp23TPfLII0ZhYaEBwABgLF68OLxKMh3YtGmTscceexh9+/Y13nnnnair44u2tjajoqLCAGDcdtttHb67++67DR2GsoEDBxoAjMsvvzzqqnji008/TbbbZcuWdfhu8uTJxujRo6OpGIE777zTAGB0797d+PDDDy3TVFVVGfvtt58BwNhuu+0Cq4u4hw899FBgZQTBQw895Npvz5gxI5nm7LPP7vDdq6++mvxu/Pjx5HJ/+9vfGr169TJaW1ul63zxxRcbpaWlxvTp06V/q5rFixdLP/spU6Ykf5OJrF69mucCDKMZ7OrPMIwjTz/9NM477zwAwD//+U8cffTRtmlPOukk3HPPPWFVjXGgR48e+Oijj7B+/Xrsv//+UVfHF19++SUqKysBoJOaftJJJ+HLL7+MoFaZxdKlSwEA3bt376Q43n777XjkkUeiqJYr8XgcV155JQDg/PPPx1577WWZrlevXnj00UeRk8PTHq9ceeWVGDp0KADgnnvuwapVq5LfHXzwwUml/o033sCGDRtc89u8eTNeffVVHHPMMcjLy5Ouz7XXXou6ujrMmjVL+rcMwzDZCI+ADMPYUlVVhT//+c8AgOOOOw6HHXaY62+mTJmCPffcM+iqMVnE5s2bk3936dKlw3clJSUYPnx42FXKOMQ9Tr2/QMJo/sUvfhF2lUisXLkSP/30EwBg7733dkw7ZMgQ7LvvvmFUKyPJzc3FkUceCQBob2/HSy+91OG7Y489NvndU0895Zrf008/jdbWVpxwwgnBVJhhGIbpABv+DMPYcvvttyf3xU6dOpX8uxNPPDGgGjHZSDwej7oKGU+63uNNmzYl/66qqnJNf9lll+Gyyy4LskoZzZAhQ5J/mxV/AB0M+Mcff9w1r8cffxwDBw7EgQceqK6CDMMwjC1s+DMMY8v9998PIKH47bfffuTfTZ48GQ899JCtEmsYBh599FEcdthhqKioQGFhIfr164ejjjoKCxYssPyNVRToNWvWYNWqVZgyZQr69++PwsJCDB06FJdcckmnkwXmzp1rG0nZrRyrIF0ff/wxpkyZgoEDB6KwsBDdu3fHvvvui2uuuQa1tbXk+v/www84++yzMXjwYBQUFFhGt16xYgX+/Oc/Y8iQISgqKkJJSQlGjBiB008/Hf/617/Q1tbWoSxK/c385z//wQknnIABAwagsLAQvXr1wujRo3HnnXeitbW1U3q7KOZ1dXW4+OKLMXToUBQVFaFv3744+eST8cMPPziWb4e4Z2PHjk1+NnjwYNtn99VXX+Hyyy/Hr371K/Ts2RP5+fno1asXxo4di3vvvbfTfbKitbUVd911F8aMGYNevXqhoKAAFRUVGDNmDGbOnNlpW4Gox3fffQcAuOKKKxzfL8F3332Hv/71rxg+fDhKS0vRpUsX7LbbbrjkkkuwceNGy9/YPdfHHnsMBx10EHr27Jn8jhpgUEQlv+KKK5L1MpdhlY9wrx41ahS6d++O4uJiDBkyBKeffnoywKddOakRz99991384Q9/QP/+/ZGbm+t4z6zo3r178u8nnnjCNf2ECRNw5plnOqbx8myo/PDDD5g9e3bSNT4/Px/du3fH/vvvjxtvvBENDQ2Wv7OKng8Ay5cvx8knn4wBAwYgLy+vQ98SBLm5ucm/U/uG/fbbDzvssAMA4L333sPq1att81m3bh3eeustTJ48Wep5A/b3woxdW7n33nux1157oaysDN26dcOhhx6Kd955R6r8KNi4cSMuueQS7LbbbujSpQtKS0sxfPjwZMDdVL766ivXkyauu+46Ul8FyI1BYnwYPHhw8rOxY8e69iuAvmMRw2QMUQcZYBhGT7766qtkYJ6xY8cqy7e6utoYM2aMAcAYMGCAcfnllxv333+/cdFFFxk9e/Y0ABiTJ082mpubO/xu2bJlxrx58zoEmHrhhReM7bff3jj//PONBx54wLjsssuM7t27GwCM3/72tx1+v2rVKmPevHnG3nvvbQAwunXrZsybN8+YN2+eZTmHHnqoUVhYaMydO7dTcLxZs2YZOTk5RklJiTFt2jTj/vvvN2688UZj1KhRBgBj++23Nz799FPX+i9YsMDo27evMWXKFOPee+81rrrqqmT9RTCk1157zSgsLDSKioqM0047zbj99tuNOXPmGCeffLKRm5trADCOOOKIDmWJ6xo+fLgBwJgyZYrls4jH48a5555rAEhey3333WfMmjXL2HnnnQ0Axi9/+Utj7dq1HX73008/JcsQ1zJnzhxj9913NyZPnmzce++9xo033pjMY8CAAcaWLVucXgtLrO7ZLbfckizb/Ow++eSTZJpddtnFuOaaa4x77rnH+Nvf/mb06dPHAGAcdNBBRn19vW15P/zwgzFy5EgDgDF8+HDj2muvNe69915j+vTpRr9+/ZL5z549u9O97tWrlwHAOOqoozrUL/X9MgzDeOKJJ4yioiIDgDFp0iTjrrvuMm6//XZj/PjxySB1S5Ys6fQ7q+f6l7/8xRg2bJhx7bXXGvfcc49xxBFHGADIwfhee+01Y968ecZRRx1lADB69erVoe6vvfZah/SfffaZMWDAAAOAMWrUKOOmm24y7r33XuPUU0818vLyjNzcXOPmm292LWfgwIHG448/bvTu3dv429/+Ztx3333GX/7yl+Q7TaWtrS3ZZgAYZ555prFp0yby71Px+mwEoh5WAd42b95s5OTkJK//8ssvN+69917jkksuMYYMGZJ8d3/66adOv33nnXeMefPmGWeccUaHgGm9evUyzjnnHOO+++4zpk+fnqz76tWrpa6bEtzPMAxj5syZyXRXX311p+8vueSS5PfXXHONbT433nijAaBTP0nB6l6kYtVWTjvtNGP//fc3/vGPfxh33XWXceihhxoAjIKCAuM///mPdD3MBBncb/Hixcl3fPz48cbtt99u3HXXXcakSZMMAEZRUZHx5JNPdvhNTU1Npz46tV6ff/656300DPkxSIwPt9xySzLfGTNmOPYruo9FDJMpsOHPMIwljz32WHIgPeOMM5Tk2d7ebowbN84AYOy6666dBuDvv/8+aWCdcsoplnmYJ1gDBw403nvvvQ7fL126NPn90qVLO/1+7ty5ye8/+OADyzLi8bgxaNAg4+ijj+703f33328AMEpLS41PPvmk0+9OOumkZN2qq6sd67/99tsb//rXvzp8/+ijjyYn321tbcZ2221nALA8TeHVV181cnJybI280aNHOxr+l19+uQHAKCsr63QtTU1NxiGHHGIAMEaMGGE0NDRY5iGupV+/fp0Mvs2bNycXc6644grL31Mw3zM7g+aDDz4wABiHHnqo0dbW1uG7LVu2JA36c845x/L39fX1ycnh+PHjjaampg7fb9261dh///0NAMZf//rXTr+nRvV//fXXk8bf/fff3+n7Sy+9NDn5Xb58uWUe4rlut912xq9//WujsbEx+V17e7sxbNgw6Sj84l0YOHCgbZqffvopuYhy8sknG+3t7R2+X7hwYdIQmDt3rmM5Xbp0MXbYYQfj22+/7fD96aefLh3l/Iorrki+H6Jt/ulPfzJeffVVo6WlhZyPimfjZPxVVVUZAIyRI0d2WoBqbGw0DjvsMMtFSzNmA33o0KGd+rCrr746UMP/oIMOSqZ79913O33/xRdfJL/fddddbfPZc889Hb+XrbMdoq3069fPmDhxYod3Nh6PJ8cjv4vb5j7q9ttvN6qqqlz/mzx5smv9ly9fbpSUlBgAjEsvvbTT92I8ysnJMd544w3LPNwWJJzuo58xSCaqf7qMRQyT7rDhzzCMJbfddltyIL3ggguU5Gk2uu1UM/MkxMpwN0+wTj75ZMs8Bg0aZAAwLrrook7fbd261SgtLXU0ApcsWWIAMF588cUOn1dXVxvl5eUGAOPvf/+75W83b96cVN2sFC9z/a0WFtatW2dMmTLF+PLLL41ly5Yl027dutWyvAMPPNCT4f/NN98kjbSZM2da/v6bb75JGkJ2kyVRv8GDB3cyBA3DME455RQDgLHvvvta/p6CjOH/3//+1/L71157LamOWd1LMfHMzc21LeO9997zZfi3t7cnld0xY8ZYpmlra0umsTNGxHMFrBXTO+64w5g1a5ZtPaygGP7iWXbt2tVyUcswtqmYXbt2NWpqamzLEQZSKq+//rrtQpUdra2tHdRT839dunQxjj32WOPpp5/u5EVkRtWzoRj+qeqsYOXKlcnff/3115ZpzP3j+eef3+n7ZcuWGVOmTDGqqqpsrtQaiuG/YMGCZBonQ3m33XZzfD9XrFhhADCuvfZaqTo61dkOc1tZtWpVp+/FmJSTk+PoDeSGuY/y8p8dwjtu6NChnRY0U69x6NChln2wH8PfzxhENfzTaSximHSH9/gzDGPJ1q1bk38XFxcryfOOO+4AAGy33XYYPXq0ZZpJkyahoKCgQ3o7fve731l+vvPOOwMAvv76607flZWVYdKkSQCA+fPno6WlpVOauXPnonfv3pgwYUKHzx999NHkfTnuuOMsy+7evTtGjRqVzN8Jq6MR+/fvj7lz52L48OFob29Pfv72229b5nH33XfjpptucizHinvuuSeZ/x//+EfLNEOGDEnGdrjzzjthGIZtfocffrjlUWlOz0IlI0eOxOrVq7HPPvtYfi8ivjc1NeHDDz/s8J1hGLjrrrsAAAcccEBy/3kq++67L3bccUeUlZV5quPChQuTAdHs7nlubm7y3Vq8eDGWL19um9+wYcPwy1/+stPnZ599NqZPn+6pjnZUV1cnA7b99re/RdeuXS3TieuqqanBY4895pin1fs/bty4TnuR3cjLy8PcuXPx0ksvdYraX1tbi6eeegqTJk3C4MGDk3FLUlH9bKzo0aMHVq9ejaOOOsry+x133DF5X+3auxmr+zdy5EjMnTsXvXr1kqqbmZqaGmzcuDH535dffolZs2bhmGOOAZDoFx599FHb37sF+Xv88ccRi8Vw/PHHe66jLLvssksy/oAZ0T/F4/FOwQq9cuGFF2LRokWu/x166KGO+SxfvjwZ6+W4447rEF/BjHhfv/nmG7z66qtKrkEQ5BgkyLSxiGF0hg1/hmEsMR/rlRoozwu1tbX43//+BwC2Z20DCcN8p512ApCYXDux4447Wn7erVs3AIkJrBUi0NOmTZs6HEkFAPX19Xj66adxwgkndDpbWtRHBI0zT47N/4lJ9/Lly22DdQHbJiJ2DB8+HD169AAAHHvssbjmmms6nY+96667Ot5PO9544w0AQNeuXZNnc1sh8t6wYUOnwHZmvD4LVRQUFGDQoEHJAFXt7e2orq5OPhPzBFYc/yb44osvUFlZCQCuR1GuXLkSV199tac6insOOLcB83fmII+puL0/Knn77beTi2TUuju1365du6Jfv37qKgjgiCOOwHvvvYfly5fjyiuv7FTPH3/8EX/+859xxhlndPqt6mdjRU5ODgYNGoT8/HwACWMz1cgW/W7qO2pFUM9/4sSJ6N27d/K/ESNGYMaMGcjPz8e0adPw4Ycfon///ra/P/7445Pt8IknnuhkpM2fP99xgS0I3PonQF0fNWLECBxyyCGu/7m9/17eSbcxU5YgxyBBpo1FDKMzbPgzDGNJ7969k39bRamXZfXq1ckjw7bbbjvHtOL7qqqqDp4HqZSXl1t+LjwG7KK4jx49OjnpTFUXn332WdTV1eHkk0/u9DuhCLW2tqJPnz4dJsfm/5599lkAiYm90xFjVmemmykuLsZ9992HoqIibN26FZdeein69++PMWPG4LbbbsOPP/7o+HsnxLU4TeCBjs/KSRFzexZmwzsoqqqqMH36dOy8884oKChA9+7dOzwXQVNTU4ffma/L7X74wVyOUxug3nO390cl1Lr36NEDRUVFnX6TSpB133nnnXHZZZfhww8/xHfffYerr766w3O977778MILL3T4jepnY0ddXR2uueYa7L777igsLES3bt06vKMi6njqO2pFUPfwxhtv7KBML1myBJ9//jk2bdqE2267rYOxbMWAAQPwq1/9CgCwZs2aDlHzP/zwQ6xcubKDV0AYuPVPgP14ERVhvZNOBDkGCTJxLGIYXclzT8IwTDZiVj6/+eYb3/nV1dUl/xaGgR3m72tra20Hcit3PgqxWAwnn3wyrrzySrzyyiuorKxERUUFAODhhx/Grrvuaqn8imsoKyvDc889RyrLyeWWUv8//OEP+OSTT3DjjTdi/vz5qK+vx9KlS7F06VKcf/75mDx5Mm6++eZk/amIa5F9FnZ4fRaq+Oyzz3DwwQejqqoKAwYMwLXXXothw4Z1eHfGjx9v+VuZd9MP1HJ0vOey7bepqUmLuv/iF7/AJZdcgnPPPRennHIK/vnPfwIAHnnkERx55JHJdKqfjRVr167F2LFj8c0336Bnz56YMWMGdtlll6SiCgAnnnhiJ0XVjqDu4V577UU+DtKOE044AW+99RaAhMJ/4IEHJv/Oy8vDscce67eaUkTdP3khjHeSQlBjkCDTxiKG0Rk2/BmGsWTYsGHYbrvtsG7dOnz66acwDEP6vGUzZgPMTc0yf2+3l9gvJ598Mq666iq0tbXhsccew7nnnosffvgBixcvxnXXXWf5G3ENra2tOOSQQwKplxU77bQT7rvvPtx222146aWXMH/+fLz00kvJun/wwQdYtmyZlNFaXl6OLVu2aPEsVDBlyhRUVVVh++23x2effSZVV5l30w+p5dgptjrecy/tV5e6A0BJSQnuueceLFiwAA0NDfjqq686fB/Gs5k6dSq++eYblJWV4cMPP7R0dQ9y4SlMjjnmGEybNg2tra345z//iVtvvRU5OTl48sknMX78eF8xCLIFapvz218ITzwnghiDBJk2FjGMzvCyGMMwtpx55pkAgI0bN+K9994j/27mzJmYOHEibr755uRngwcPTq7Eu7kHrlu3DgBQUVHhOZCaG0OGDEm6oz788MMAgHnz5iEWi9kGGBL7D5ubm5N7wsOkpKQExx57LJ577jmsWrUqqWCvXLkSDz30kFRe4lqozwJI3DMd+eabb/Dxxx8DSCzoyE4KzftKVbiu+i1Hx3tOrbt5Ah9W3fv27Ytrr73WNV337t2T8UNS950H/WyampqS8UR+//vfh7q/PQp69uyZDF5XWVmJf//731i6dCnWrVsXupt/uqLqnRRBAe22Msh4CagcgwSZNBYxjO6w4c8wjC3Tpk1Dz549AQBz5swh/Wb9+vW47rrr8MILL3SIolxeXp6MrC6C/FlRX1+PFStWAADGjh3rteokRJC/ZcuWYdmyZXj44YdxyCGH2O41NNfnv//9r22+P/74IwoLCzFy5Ehf9Vu9ejUuvfRSyzgBv/jFL/DPf/4zGSjs888/l8pbXEtNTY3jfsmPPvoIQMK4Gj58uFQZYWFehLHbC2t2m01l5513Rt++fQE4v5stLS2YPHkyTjvttE7fUbxhzO+PUzningPw7XKtigMOOCC5R9ap7ubvgm6/gg0bNuDTTz8lpRXq5oABAzp8HvSz2bx5c9Lwctqv7fSephtmA3/+/PmYP38+SkpKMHHixOgqlUZ4eSet2pzwXqmurrb8/cqVK23z9jMGUT0EM2ksYhjdYcOfYRhbunbtisceeww5OTmYP38+/v3vf7v+5vzzz0dzczP233//DntoAeAvf/kLgMReV7H/M5VnnnkmGT387LPP9nkFzhxzzDEoKSkBAJxzzjlYuXKlZVA/wR//+Mekmux05NhDDz2ElpYW2yP/qHz33Xe45ppr8P7771t+37Vr12T93QJupXLmmWcmlSCrI7eAxKRPeHqcffbZvrZ6BIk5OrbdJNY8OU4lFovh//2//wcAePfdd7F69WrLdK+88gqefPJJNDc3d/pOPIfW1tbkZ6tWrcLw4cNx+eWXAwAOO+ywpFJld8/b29vx5JNPAkgcbRdm5H4nunXrlvSEeemll2xVQnFdXbt2tfWcCYJXX33VNVr3unXrksbJb37zmw7fBf1sevbsmVw4sXtHv//+e2zatImcp+4ceeSRKC0tBQA899xzeOaZZ/D73/8+MC+uTGPnnXdOGsVPPvmkbVA68b4OHTrU8ojAYcOGAUByQd1MPB7HK6+8YlsHP2OQ+Bzo2C/Onz8fw4cPx4IFCwBk1ljEMLrDhj/DMI4cdthhuPPOO5GTk4Ojjz4azz//vGW6pqYmnH322Zg/fz769u2LJ554otPgfOKJJ2LcuHEAEoZ26kR93bp1mDFjBgDgT3/6Ew466CD1F2SivLwcf/jDHwAkjivr0qWL7RnbQEI5ue222wAkov/PmzevU5p33nkHV111FQYMGIBzzjlHST2vvvpqS2PzhRdeQE1NDWKxmOWZ3k7ssMMOuOyyywAAN9xwQyfFtKWlBWeddRba29sxYsQIXHDBBd4vIGAGDx6MPfbYAwDwwAMPdDKs6uvr8be//c0xjwsvvBA777wz2tvbcdZZZyUXnwRVVVX4v//7P+Tn5+Oiiy7q9HtxhNT333+f/Ox///sfVqxYkdz3mpOTg3vvvRc5OTl44403LF1jr7rqKnzzzTcoKSnBHXfcQbj68Jg1axb69OmD6upq/N///V+nvcH//ve/k23iH//4h21QziCorq7GH//4R9tTQDZt2oQTTjgB7e3tGDhwYKcj/YJ+NoWFhTjiiCMAJBZOUhc+W1tb8de//lUqT90pLS3F73//ewDA1q1bsXnzZnbzl+SOO+5ASUkJvv76a1x11VWdvp87dy4WL16MnJwc3HfffZaB7SZMmAAA+Ne//tVpwe7WW2/t1NdZ4WUM6tWrV3IxwNwvvvXWW1ixYkUyqGUmjUUMozsc3I9hGFfOPPNMDBw4EGeddRaOOuoo7LPPPjj88MOx/fbbo729HV988QWefvpprF+/Hvvuuy+eeOIJ/OIXv+iUT05ODp599llMnDgRS5YswciRI3Haaadh++23x9dff437778fGzduxHHHHYe77767w2+//fZbvPPOOx3O733++efRq1cvjB8/Hn369MG7776LVatW4dtvvwWQcAF+9NFHASQWHayYMmVKMs2kSZNQXFzseC+mTJmCTZs24W9/+xtOPvlkPPvsszjkkEMQj8fxwQcf4PHHH0evXr3w4osvdthr7lR/u/qVlJQgNzcX7733HnbccUeceOKJGDRoEJqamvDBBx/gqaeeQiwWw/XXX9/hFAJxPSI6+Lfffmt5H/7+97+jpqYGt9xyCw444ACcdtppGDlyJDZu3IhHHnkEy5cvx6677opXXnmlw32pr6/vdKrBu+++i7y8PIwcORIjR45MXu+7777bqV7iebnx6aef4tNPP7W9Z+Z8HnzwQYwdOxbV1dXYc889cfrpp2PnnXfGjz/+iHnz5iXdUa3qCiSOrXrttddw+OGH47XXXsPuu++OKVOmoEePHvj666/xwAMPoLa2Fvfddx9++ctfdqrrSSedhBdeeAHPPPMMdtppJ5SVleGGG25AcXExJk+enEw3btw4PP744zjllFNw6qmn4pVXXsHBBx+MtrY2vPjii3jttdfQrVs3PPfcc53cWZ9//nnU1dVZPlfztciwaNGiDq7y9fX1yTyBju9Lnz598O9//xuHH344HnroISxfvhzHHXccysrK8N///hcPP/wwDMPATTfd1MlzRrRNq3L69Olje+IChV/84hf4/vvvsWDBAuywww44+uij8ctf/hJlZWWora3FJ598gmeffRbV1dXYeeed8fzzzyeVaDNen82GDRuwaNGiTtebl5fX4dpuvfVWfPjhh/jhhx9w8MEH45RTTsEee+yBzZs346mnnkJlZSXKy8uxdetWfPrpp3j00UcxZMgQ7L///sm2YNWeysrKPLvPi3fKnO+iRYuwdu1aAPS2ascJJ5yA+fPnA0gc9ZjqaeEF8S5Z3YsDDjgAO+ywg21bEc9D9GEbN25M5iGuW6YtifZj7qPEs7d6Lua+U4xT5vqnlr3zzjtjwYIFOOqoo3DFFVfg3Xffxe9//3vk5eXhjTfewFNPPYWioiLMnTvXduvJtGnTcP/992Pt2rU48MADceqpp6K8vBxvvPEGVq5ciUsuuSTpjSfqccghh6Bv376exyAg4Ul14oknYs6cObj66qvR1NSE9evX44EHHsCIESOw7777JtPqPhYxTMZgMAzDEGlqajLuu+8+43e/+50xYMAAo7Cw0CgpKTGGDh1qHH/88cYLL7xgxONx13zi8bgxb94849BDDzV69epl5OfnG3369DGOPPJI41//+pflbx566CEDgOV/ixcvNgzDMKZMmWKbxo729nZjwIABBgBjyZIl5Hvx+eefG6eddpoxePDg5H3YbbfdjEsuucTYuHGjVP2d6vf9998bs2fPNg455BCjX79+RkFBgVFYWGgMHjzYOOmkk4z33nuv029ky3n77beN448/3thuu+2MgoICo3v37savfvUrY86cOUZzc3On9KtXr7bN//LLL3e9XvG83Lj88ssdryU1nzVr1hhnnHGGMXDgQCM/P98oKysz9txzT+Pqq682amtrbetqpqWlxbjjjjuMX//610b37t2NvLw8o3///sbxxx9v/O9//3Os71133WWMGDHCKCgoMHr16mWMHz/e+OCDDyzTrlmzxpg2bZoxbNgwo7i42CgtLTV23XVX4+KLLzYqKystfzNw4EDX+y7L6NGjpd+XrVu3GrNmzTL23ntvo0uXLkZhYaExaNAg49RTTzU+++wzy984tc3Ro0d7qruZ//73v8Y111xj/O53vzOGDRtmdOnSxcjNzTVKS0uNwYMHG0cddZTxyCOPWL7Pqcg+m8WLF5Ovraqqyjj//PONHXfc0SgoKDBKSkqMXXbZxbjooouMDRs2dHrGU6ZMMQzDuS0MHDjQ831zeqdk2qodLS0tRs+ePQ0AxhlnnOErL4HTu/TQQw8ZhmF/XeJ5UPowCk7tx+q5OJXrVHZVVZUxY8YM45e//KVRWlpqFBcXG8OGDTOmTp1qrFmzxrWe33//vXHyyScbffr0MQoKCowhQ4YYl1xyiVFfX2/ZVy9atKjDb2XHIEFjY6Nx7rnnGttvv72Rn59vDBgwwJgyZYrx448/WqbXdSximEwhZhgpoW0ZhmEYhmEYhmEYhskYeI8/wzAMwzAMwzAMw2QwbPgzDMMwDMMwDMMwTAbDhj/DMAzDMAzDMAzDZDBs+DMMwzAMwzAMwzBMBsOGP8MwDMMwDMMwDMNkMGz4MwzDMAzDMAzDMEwGkxd1BTKFeDyOH3/8EeXl5YjFYlFXh2EYhmEYhmEYhslwDMPA1q1b0b9/f+Tk2Ov6bPgr4scff8SAAQOirgbDMAzDMAzDMAyTZfzwww/Yfvvtbb9nw18R5eXlABI3vEuXLhHXxp54PI6qqir07t3bcUWIYbIdbisM4w63E4ahwW2FYdzhduKN2tpaDBgwIGmP2sGGvyKEe3+XLl20N/ybmprQpUsXblAM4wC3FYZxh9sJw9DgtsIw7nA78YfbdnO+owzDMAzDMAzDMAyTwbDhzzAMwzAMwzAMwzAZDBv+DMMwDMMwDMMwDJPBsOHPMAzDMAzDMAzDMBkMG/4MwzAMwzAMwzAMk8Gw4c8wDMMwDMMwDMMwGQwb/gzDMAzDMAzDMAyTwbDhzzAMwzAMwzAMwzAZDBv+DMMwDMMwDMMwDJPBsOHPMAzDMAzDMAzDMBlMWhn+77zzDnbaaSfEYjGsWbMm6uowDMMwDMMwDMMwjPakheHf2NiI888/HwcddBBWrlypJM8VK1bgxBNPRL9+/VBUVIQhQ4bgwgsvRE1NjZL8GYZhGIZhGIZhGEYHtDf8V61ahd133x3PPPMMXnnlFSV5LlmyBHvssQc+/PBDzJ07F19++SUuvfRS3H333dhzzz2xfv16JeUwDMMwDMMwDMMwTNTkRV0BN7744gscfPDBuP7661FWVuY7v+rqahxzzDEwDAMvv/wydthhBwDA4MGDUVhYiD/+8Y84+eSTsWjRIt9lMQzDMAzDMAzDMEzUaK/4H3HEEbjzzjuVGP0AcPvtt2Pjxo048sgjk0a/YPLkyejfvz/+/e9/4z//+Y+S8hiGYRiGYRiGYRgmSrQ3/HNzc5Xm989//hMAcPDBB3f6LicnB+PGjQMAPPnkk0rLZRiGYRiGYRiGYZgo0N7wV0l9fT2++OILAMDw4cMt04jPP/jgg9DqxTAMwzAMwzAMwzBBof0ef5WsXr0a8XgcANC3b1/LNP369QOQCCroRHNzM5qbm5P/rq2tBQDE4/FkGToSj8dhGIbWdcx2PvkE+OIL4I9/jLom2Q23FYZxh9sJw9DgtsIw7nA78Qb1fmWV4S+McwAoLi62TFNSUgIArsf6zZo1C1dccUWnz6uqqtDU1OSjlsESj8dRU1MDwzCQk5NVDh9pw/z5pZg3rwTjx1dFXZWshtsKw7jD7YRhaHBbYRh3uJ14Y+vWraR0WWX4q+Tiiy/Geeedl/x3bW0tBgwYgN69e6NLly4R1syZeDyOWCyG3r17c4PSlC5dAMOIoaKiIuqqZDXcVhjGHW4nDEOD2wrDuMPtxBtFRUWkdFll+JsN8sbGRss0DQ0NAICuXbs65lVYWIjCwsJOn+fk5Gj/osZisbSoZzbS1ga88QbQ3g7k5MSirk7Ww22FYdzhdsIwNLitMIw73E7kod6rrLqjgwcPRiyWMKZ++uknyzTr168HAAwZMiS0ejGMoLoaWLIkYfgzDMMwDMMwDMOoIKsM/9LSUuyyyy4AgK+++soyjfh8n332Ca1eDCNoaUn8nw1/hmEYhmEYhmFUkVWGPwAcc8wxAIDXX3+903fxeBxvvPFGh3QMEyZs+DMMwzAMwzAMo5qMNPwXLlyIoUOH4pxzzun03dSpU9GzZ0+88MILWL16dYfvnnjiCfz4448YN24cfv3rX4dVXYZJIgz/trZo68EwDMMwDMMwTOaQFoZ/VVUVfvrppw778q0+E8yZMwerVq3CHXfcgU2bNnX4rnv37njqqacAABMmTMBrr72G1atX46GHHsKZZ56JQYMGYd68ecFeEMPY0Nyc+D8fX8owDMMwDMMwjCrSIqr/Pvvsg++++67DZ6NGjUr+bRhGh+9OPPFEvPXWWzjssMPQs2fPTvmNGzcOH3/8Ma688kqcfPLJ2LJlC7bbbjucccYZuOyyy9CtW7dAroNh3BCKf15atEyGYRiGYRiGYdKBtDAv1qxZI5V+8uTJmDx5smOa4cOH4/HHH/dRK4ZRjzD88/OjrQfDMAzDMAzDMJlDWrj6M0y2IAz/goJo68EwDMMwDMMwTObAhj+Tlei6h54Vf4ZhGIZhGIZhVMOGP5OV7LIL8MorUdeiM2z4MzpSVwc0NkZdC4ZhGIYJj4YG4O23o64Fw6iDDX8mK6mtBf7zn6hr0RkR1Z8Nf0YnHngAePTRqGvBMAzDMOHx6acAn+7NZBJpEdyPYVTTs2fC+NcNVvwZHfnmG34nGYZhmOyitTXqGjCMWtjwZ7KSggI9O3Q2/Bkd+f57IBaLuhYMwzAMEx7V1VHXgGHUwq7+TFaSn7/NyNYJjurP6Eg8rm9ATIZhGIYJAmH46ygUMYwX2PBnspKCAn0N/1iMFX+GYRiGYZgoqakBevXi4LZM5sCGP5OVFBZuC6SnEy0tQGkpG/4MwzAMwzBRUl0N9OvHhj+TObDhz0TOxo3hlmcYerv6l5ezqz/DMAzDMEyU1NQAffuy4c9kDmz4M5HTuzewdWt45bW1JRR/Hfcst7UBd9+dUP0ZhmEYhmGYaGhoSJwCxYY/kymw4c9owcqV4ZXV2qqvot7enlhdZhid4Ij+DMMwTLbR2MiGP5NZsOHPaEGYhn9Li96Gf25uYjsCw+iA+V3k95JhGIbJFhobgR492PBnMgc2/JnIyc1N7KMKi3Qw/BlGF1paEltjCgv1jIvBMAzDMEHQ2Ah0786Gvyx/+xtw001R14Kxgg1/JlIMI/wI++lg+LNrNaMLjY1AURFQXJzY78gwDMMw2UA8noi5xIa/HE88AVRWRl0Lxgo2/Blp6uqADz5Qk5dYTW1qUpMfhXQw/BlGF5qaEoZ/SYn75CceTwSoVMFbbwHHHqsmL4ZhGIbxQnFxuHPUTECcnsXoBxv+jDT//S9w551q8qqpSUT1Z8U/gVnx1/HUASb7aGxMTHwoiv/ddwMHH6ym3PXrgX/+U01eDMMwDOOF4mL3Re/+/cOpS7pQUQFUVUVdC8YKNvwZaVasAL77Tk1eQvEP2/DXdSVSGP65uWz4M3ogFP/8/MSJGE78+CPw/fdqyg0z7gfDMAzDWJGXl5ibObF+fTh1SRd69QI2bgy3zFWrgAcfDLfMdIQNf0aaVauADRvU5NXSApSXs+IvEIZ/To77QMMwYdDcnIjDUVDgbvi3tqpbVNuwIeENxDAMwzBRkZurbgtbtlBY6D5fUM3nnwPvvhtumekIG/6MNA0NCQVQBVEY/q2tCSNGx6PJzIo/G/6MDrS1JYz5/HznqP6bNgHXX6/W8O/TR892yjAMw2QHboo/j1HWhB2k+vvv2fOCAhv+jDQqFXNW/DvChj+jG21tiYmPm+Ivgh+pMvxraoB+/cLtGxiGYRhGYBjuij8H/tODH34Afvop6lroDxv+jDTNzYlgJypcn1pbozP8dTwyjw1/RjeE4e+m+IvJj6pFtfr6hOK/daua/BiGYRhGhljMfT5WWxtefRh7Nm/mU7EosOHPSNPSAnTtqsZYD0Lxf+gh9zJ1VfzjcQ7ux+gFVfEXEf9VKf4tLUCPHmz4MwzDMNGRl+csdPEYpQfNzeq2IWcybPgz0jQ3qzPWW1qAsjK1hv+pp7qXqavh396eCOzHwf0YXaAq/qoN/1gs0c/U1anJj2EYhtGPlhZg0aKoa2EPK/7eCDv2QXOzvnN7nWDDn5EmHgdKStTsa2ppSWwbUG3kOnU4uhv+7OrP6IRZ8Xcy/MU5x6oMf8NILAqymsIwDJO5PPMMcOihUdeiM/F4QoRxC+4nFr2ZaBEnEHGwRWfY8GekicUSjUuFSi8i7KvGyVhobU105DrChj+jG1G5+gMJxZ8Nf4ZhmMzlu++Anj3d0/30E7B6dfD1EYixzy24X9jH1jHWGEZinsJHLzrDhj/jiaIidYp/EIZ/VZX9d8K41hE2/Jmw2bLF+Xuqq79Q/FW1rVgs4Q2kY8Tkr78Gli2LuhYMwzDpz9atCe8uN5YsAV54IfDqJGlro83HnMZFJlxUiZKZDBv+jCdUGv75+epdczLB8OfgfkwY9OjhrFjIKP733AOUlqqpl1i913EQf/114Pnno64FwzBM+lNXRzP8N28GNm0Kvj4CMfa5Bfdjxd+esN3ui4r0nDPoBBv+jDSGod7VX/XRek6LEmbDX7e9QKJuHNyPCROh1lsho/j36qXWza6wUE815fvvgRUroq4FwzBM+qOr4d/evs3V32k+xoa/NW4LJkHAir87bPgzntDd1d+psxHGdSymr+HPrv5MmFAMf4ri36WLmkmQYSTap66K//ffJ/abMgzDMP6oq0vEc3Hzcty8Gdi4MZw6AXTFX8fFaR2Iwghnw98dNvwZaURwv3Q1/ONxfQ1/IFEvNvyZMHGKSkxV/JuaEnvyVbQp0S/oqvjX1tIUKoZhGMaZhgagd2/3o1s3bUoY/2FhDu7Hir88UYzfbPi7w4Y/4wlV+2jEHn/VOHXE7e0JV/qcHD0Nf4ANfyZcVCj+ra3q2rIw/N2OEIyKWEz99iSGYZhspaTEeRwCgJqahGEXFhzV3ztReOypFCUzGTb8GU8UFrp30lde6R4AK6jj/Kiu/roG0MuE4H5OARYZvaAo/m5GeFubOsNfLCLo6upvGPouGjIMw6QbFKXWMMINzGx29XdT/HkhuDPs6q8nbPgznsjPdw/asWQJMH++c5oo9/iHrfg3NNBXIjMhuF9FRdQ1YKioCO7X2ppIpwKxIKirqz/DMAyjDop3V9iLrVRX/6DmselO2Ea4ysDjAPD222ry0Q02/BlpxKqrm2E6dCjw7bfOaYJy9afu8Q9TVX/ySeCVV2hp2dVfnqYmVmG9woo/wzAMEwXCRVu3vl7mOL8g5rHpThTzWJXv0a9/rSYf3WDDn5EmFnN3fQJocQBUGgtmKHv8ww7u19pKP9qEDX95Zs/O3BXaoKEo/pTJjyrFXywI6qz45+fz3s6gWLgw6how2cLLLwP33BN1LRgd+/q2NtopS2z4W0OxE1Si6wKSbrDhz3jCLdgJkGh8boFYhBGuGh1d/eNxeifIhr88P/4Y7lE/mQRF8Xd7J1Ur/joH9wMSwaic7hvjnWnT2HuHCYcbbuCFpqgxDD29u2SC++Xnc58liMe3nU5FFbv8Iu69znMGXWDDn5FCNC6KYdrQAJSWOqcRRrhKcnL0DO7X3i6n+Kd7cL+w+emncI/6ySSohr/TO6lS9dDZ1V9MatjwD4a2NmDVKmDLlqhrwmQD5eXsuaMDVMU/TOO6vZ0W3K+lJVF/NvwTCEEvTMVfzOtZNHOHDX9GCrE/ntKg6+sT53pT8lNJXp67q38Uin97O71DyoTgfmHDhr838vOdjWsZxT8vT02b0tnVv7Ex0a8VF7PhHwQ//ZQYF9aujbomTLYQhNchQ0f26Lew5m0yij8b/tswG+FhKf6izLC3F6Qj3N0xUoiVPEqDprj+BqH4u+1Fjiq4H7v6B8uWLWz4e8FtrzrV8BcqvYpjjXRW/BsbE2o/K/7BsG4d0Ldv4v8Mw2QH1L3ZYS4GyxznV1jIXpqCKIzwKBYb0hU2/BkpVLvTBLHH383wjyq4n4ziz4a/PF27Aps2RV2L9GL69IRxrcrwz4bj/BoaEmq/jnXLBKqrgYEDga1bo64JwzBh4bY3Ox5PzNvCDN4mM/ax4b+NKBV/nju7w4Y/I4XMSh7FqA5C8c/P1zO4Hxv+wVJWxgqsLLNnq1P8gzjOLz9fP+NaXKfbAiPjjZoaYLvtgLq6qGvCZAu8tS46xBzMzaBvakqcFBWF4Z+T42zU8x7/jshsCVZFFHEF0hU2/BkpRINWtZIXhNs9dY9/FK7+HNwvOHQ0EtMBNwNW1tVfBWKPv44LYEJ5cutnGG8Iw58VfyYsSkt50TgqxLjh5kHV2Bid4e+G8FDjOVuCKBR/1bZJJi/qs+HPSKF6VS2IvUDUPf46K/6sQMjDhr83VCn+KrftiIkUoCZmgEpEVH83zyLGGzU1wPbbs+LPhEdpaXa8bwsWRF2DzpiPbtVV8XeDXf07EvUefxVl6hZbSCVs+DNSyKzkUSbsMsECqVBc/cUe/7CP82NX/+DIzWVXOy+4Gf6ivVAWo1QZ6Sq9B1RjGNsWP9nwVw+7+jNhU1aW+e+bYQB//3vUtegM9QSXlpZtcV/CNPwpW1Hb2xPXwPOPBJkQ1b+pyX8eusKGPyOFzKqazB5/1Yo/1dVfN8Vf1IcNfyYs3Ax/swtdWO+kzoa/2dWfDX/11Nay4c+owe1ISBGQtKwscfxwJlNbmzgqUzeoJ7iI2Co6Kv7t7Yl0rPgnMM/rowjup6JMNvwZ5mdkg3a4qYQy+3IuuohWR0pU/yhc/SnH+QnFlA1/b/CKOx0xSaEY/sIrx+mdVOmSL9QdHeE9/sFSWwv078+Gf7rwl79EXQN7Bgxw/l6c0FFamvkxJaqqEkfe6oZ5j7+TQS8WadzGK5UIgx5wnlvE46z4m4kiwr7qMqur/eehK2z4M1LIuvq7deZUxb+1Fbj+elodqVH9o3D1z5bgfjwA6o9ob27thWr4q4QV/+ylsRHo3TvzDbFM4c47o66Bd0Q09uLizN7TCyQM/8ZG/ZRM0de79afmdGGNQ2ZXf6eFbVb8OxKl4q/q/Xj4YaBbN//56Ihnwz83Nxe5ubno37+/yvowmmPek09pXBTDnzKJbmxM/J8SvI0a3E9HV39Bugf34wFQf0QbKSpSo/irRHfDn4P7BUdTE1Bezt4UjBqcPEeE+3g2BIbduDExN9JN9aca9FEcoyrGPko6Nvy3EXVwPxXvR2Oju8dQuuLZ8DcMAxMnTsSiRYtU1ofRHNkG7eZOT3X1F4b/+vXuZVL2+ItgZbq5+gvS3dU/qrrrFgFeZ0R7Ky6mtZcw763Ohj8H9+vMjz/m4MMP1eQlJtEM4wcxtjvtaxfu4wUFmW/4i9gZuhr+bnNA8azCnBtRDX+h+LOnY4Iog/upej9EfpmIZ8O/qKgIs2fPxi677KKyPozmeDkr06kzpC4kCMNf/N8JnV392fAPFh546VANf9Hmw4QaVCkK2NW/M198kY8lS6KuhT/OPx/45z+jrgWjCjEWNDTYpzEHlst0D5OGhsQWGqf7EQUinouOir9Y5HVDjJGs+Ccwj5FhK/6qytR5DuIXz4b/0KFD0UzYFNXU1IRHHnnEazGMZlAbl3CHdVMJDSORhqr4Uwx/alT/sBV/NvwZnRBthGL4UyY/KttSFIsNVDi4X2fq6mLK9w6HvYj33HPARx+FWyYTHBTDXxiT2aD419cDPXvqu8c/nRV/gI8TNmPeHpiuUf1Z8bfg9NNPxz333OOarqamBn/605+8FsNoBrVxiQEVoHWGlD3+BQU0w99t5dW8x5+D+wUDG/76Y1b8KcH9ZPA7ARLbC3RE3A/e47+NhOGf3vtsSksz/0i3bEKMnxTFPxv2+Dc0AD166Gv466j4y4x9Yc8ndca8HS5MxV9lLCJW/C2YNm0a2tvbceyxx+Ktt97Cxo0bVdaL0RRq4xKrs9R9wW4dRFMTfdDKyXHugM17lnXd45/uwf3Sue7Zgpg8FRaqMfxFW3drfxR0Xm1nV//OBKH4hx2vo2tXoKYm3DKZ4BB9kNNiTjbt8a+v19vw11Xxp/ZDKsa9TEHctygUf1WLDTrPQfzieT0j13RHnnnmGSWVYfRHqOWU4/coir/53Ho3xb97d5ri77byyq7+wZPOdc8WRHtzC6Inq/gLbxU/g6bOg67YnsSG/zbq6nKUH4cWtttsly6JAGgMnSlToq6BPRTF3+zqn+nbdoTir9uxhdQ5pc57/IHwhSSdMY+R6RrVX+c5iF98RfWn/sdkDrKu/pQ9/gAtuB/V8Kco/hzcL1hE3bn564tov27ubF4Mf7/vrs6DLu/x70wQin/YpHufGwWbN0ddA3vi8YRBTw3ulw2Kv457/KlHOuu+x58V/21QY3epRHVUf3b1tyAWi+Gnn35CPB53/O/HH39UWV8mYqiNS3TSAM34oyj+PXrQDX+3IwT5OL9gEXXngVBfgjL8VWxTMRv+uh3RGNUe/xUrgGHDwitPBpWGf1SLhbq9Z+mAzgtfhgGUlbkb/nl52bHHX1dXf/NJURQvUl33+LPhv42o9vizqz8Nz4b/DjvsgDzCckhhYSEOOuggr8UwmkFtXKKTdptMmfcFO034ZA1/tw5YnDiga3C/dB9EolL8OcAOHTFppxj+MkaRisCU5uB+unmNRLXHv7UV+Prr8MqTIRMUf93es3RAZ2M5Hk8Y/k57/LMpqn9DQ8JrUrd2Su1PxbPSdY8/u/pvI8o9/qrKFIp/Jj5Tz4b/119/jR49erim6969OxYvXuy1GEYzzMH9VEb1dzPYmpqAbt3UGf6iTN7jHwxRKf75+XqrUDpBVfwB2uRHtCUV7266HOcXpuEvDBNVfdaOOwKqYvI2NcWUGE7ma2MFXo7W1vD7W5372ngcKC+nu/rrfC0qaGtLLIToZvjLBozWdY9/uos1Kol6j7+KMsWzZ8PfgZqaGnz++ef4/PPPUcOhcTMWMSF3c+elRvUXjcqtgbW1JYIvUYP7URoru/oHR1SGf7rftzAxG/4q24FqV3/diCq4nzCsVQXn+uYbYMECNXmporU1YYQB0XgLpfNiw7hxwB13hFumzsZyPA6UlDjPGbJpj38sBhQV6R3cT0fFn4P7ySOM5jAVf2qQSBnSeTxwwrfh/8orr+CAAw5Az549sdtuu2G33XZDz549ceCBB2LhwoUq6shohDkwnhPUqP4Ct9XS1tbE6j3F8KfCwf2CIypX/0xdoQ0Cs+GvYoAzn9Ch8jg/3QbfqIL7CcNEVeT53FxnNTQKzIZ/mLS3p//E/auvgK1bwy1TZ2M5Hk8cVerURoU7bzbs8QcShr9uir/oT3VU/HmPvzeEq386R/UX8450HhPs8GX4z5o1C7/97W/x3nvvIR6PJ6P4x+NxvPvuuzjiiCMwa9YsVXVlNIA6IadG9aee/d3Wlli9VznR1v04v3QeRKJS/HmPPx0xOKpW1lVH9ddt4I0quF9ra6JclYa/bouLUUVSbmxMjC/pTFNTwrBzY9EidWXqrvgXFjob9Nmk+AOJ+6Gb4W+OG0VR/MM0Jtnw90YmRPUH9BMdVOF5iF2yZAkuueQSDB06FGeddRZGjRqFPn36AAA2bNiA999/H3fddRcuvfRSHHDAARg9erSySjPRQXXBlY3q72awtbYCXbuq6UREfaJQ/KmocJeOElb89Udmj78Mme7qH+Ue/1691Km6KidIqtpcquEvJpBB09gIFBcnAsGFVaZqmptphv+hh6p7Xjob/obhrvhn0x5/QG/Fn+L1KfqGMBV/Du4nTxTb4VRH9Rdk4jP1POW75ZZbMHbsWCxYsABFKaPNjjvuiF/96lf4y1/+ggkTJuDmm29mwz9DMK+AOjUIalR/mT3+xcVqGrSoU9gdtcwig45qnAxRKP5isOFVdxrUqP6yqI7qrxvmo4rCNvx79tRX8VfRl5oNf+FRIbaMBYkw/MUzDaNM1bS2JgzdsMvUFYqrf2tr4rlnk+Kv2x5/0de7zcfM7TKsuREH9/MGdTFHJapd/YH0XACm4HnK9+677+L555/vZPSbKSwsxJVXXok//OEPXothNEPG1V9G8ae4+hcW0hu0jsH9DIP3+AcNK/50glL8Vbv66zb4mvcvhr3HX0fDv6WFtshLIdXwN8eKCRLh6i9cw9PR8AfCN/x1NpZl9/jrZhAHgY7zCuoJLkLxj8f13OPPosM2hAgT5nyMejqELJk4n/SsqdTW1mLAgAGu6QYOHIhaVTMVJnKoLrhiQKXu8ae4+hcVqW3QOnfUOg7QMoSt+JsHGl2fqW54Mfyd2rPZe0f1cX46Db5R7vHv2VM/V/+6OqC0VM0DMhv+YaqwDQ0J5VdHRVQGqpGSDa7+VMU/Pz/8thwVYe6Pp0I1rsWz0nmPv07jVJSI+ViYc+wgjvPTTXRQhWfDv6KiAp999plruk8++QQVFRVei2E0g2r4y57DTXX1Vzk4R7Eni1peugf3E3UP2/DXeTFHN8R9isLVv63NuS2Y+xnd4l1Euce/a1d1e3RVKv4FBeoNf6H4h4Fw9S8oSG/DX6VHHIVMMfwpbeHll4FNm9TWMWzC7rMoyIpJYR8RRzX+WHTYhtgiEbbiTzlxTJZMXMzxbPiPGzcO5513Hn744QfbNKtXr8b555+PQw45xGsxSRYuXIjx48ejR48eKC0txZ577ok5c+Yg7qGlNTU14f7778evf/1rbL/99igoKEBFRQUmTJiAF1980XddMxmqQW/eo6vqOL+iIrUdfhQdtcwgopOxI0vYrv5RuJalOyoNf7MyQplEDxoEvPaa/ffmyaBuKlWUhn95uVrDX0X9E67xwRj+YSn+qa7+6Qr1eaoa93Q2/A3DPWif2Zh062OOOAJ4/XW1daSwdKm6vMI0mqlQVXVq9H+VyOzx5+B+2xALJlEo/oCa5yDqn4nP1LPhP336dHz//fcYPnw4jj/+eNxyyy147LHH8Nhjj+Hmm2/Gcccdh1122QVr167FRRdd5KuSs2fPxoQJE1BUVIRFixbh448/xvjx4zF16lRMnDgRbRK9QENDAw488ED8+c9/Rnl5OebPn48VK1bg0UcfxZYtW3DkkUfiwgsv9FXfTIYadEssEKhaLW1rk3P1p5Src6NOd1f/KBR/ESCIV91pxOPbzkVWkZfoFyiLVuvWObusmwdx3dqCObhf2Hv8y8vVKdKq9/irINXVP6z7K1z901nxj8XCV/x1XiShiBRC8acuGEcxX7jiCnV56baICsjPKcMcD/g4P29EtcdfdVygTHX19zzlGz58OB5//HGceOKJePLJJ/HUU091+N4wDJSWluLRRx/FTjvt5LmCb731FqZPn44RI0bg2WefRf7PM4zZs2djy5YtuO+++zB79mxccsklpPzuuecefPTRRxg8eDCef/55FBQUAAAGDx6MvffeG4MGDcKNN96I448/HnvuuafnemcqVLcsWcXfzWCTDe5HQWd1WDdjRxZxX8O6v2KFWednqhvx+LY9k1Ts7m2qoU6ZADlNqMz9h25tIWrFX4Vh+stfJhZfVNzX1tbMcfVPZ8Wf8j6K9psNij/FaNP52FDBli3q8gq7z3rrLeBPfwK++cY+DdWLNIp+l4P7debkk4FHHnFOE+Uef9Vk4nzS14FJEydOxOeff45zzjkHw4YNQ2FhIQoLCzFs2DBMnToVn332GY488khfFZw5cyYAYOrUqUmjX3D++ecDAK6//no0NjaS8vv6668BAHvttVfS6Bf06NEDw4YNAwAsXrzYT7UzFtk9/qqO8+PgfumF6gkmpTze4y+HF8Xfrj3LuvqLdHbo7uof9hnFQKIPVOXq//nnif/rrviH6eqf7sH9KAHqxLWp6CPjcb372iAM/yiMAJVxBcKeV3z/PbBqlXMaGVf/IKK2O8HB/TpTWemexnycXxSKvypY8bdh0KBB+Mc//qGiLp2oqqrCkiVLAAAHH3xwp+932mknbL/99li7di1eeeUV0rGBu+22GwDgyy+/hGEYiJmebFNTE1avXg0AKC4uVnAFmUdQij/F1T8TgvtRSffgflEZ/tky+KrAi+LvlJdsMD43xd/sQaDTvlQxqQl7UtDSAvTpA/z4o7o81Rn+6a34NzQAvXunt6s/ZSFK6CMq+kid1X6AFphNNghxFGPL5s3qIoyHPedpaHBPQ3XRNj8rDu4XHZTF2CiEGJlFGhkycT4ZwG1KsHXrVkyfPh2vOUVwcuHDDz9EPB5Hfn4+hgwZYplm+PDhAIAPPviAlOdpp52GI488El988QXOPvtsrF+/HoZhYPXq1TjhhBOwefNmFBQUYPz48Z7rnclQg53I7vGnHueXzq7+MmWle3C/sF39eY+/PCoN/1TXfMozcJpwmyd5unm/BDXBcEN1cD9AZVR///kA287qBsIP7pcNrv7C8FfRR+p+nyhzFer+cnOeYdPUtO25eSUq46WxMTFvc4Lan4p0YY4HssH9smHuQVkYNRv+Yc8BVcKKfwq5ublYv3697VF9zc3NuPvuu3HDDTfglltuwbRp06TLWPWzj1Dv3r2RY/NE+/Xr1yGtG3l5eXj++eexcOFC/O1vf0P//v2Rl5eXDBBYWlqKu+66CzvuuKNjPs3NzWg2tYDa2loAQDwe93TSQFjE43EYhuG5jsK9Lx4HDCOGeNy6Vbe2ikYfQ3u74dAhbsujvd2+42xtjSE/30Bbm32ZAsOI/VxX63Tmere1hdlZx2AY9vUy1y0RqMn9WnUlMTDnoK0tHsr9TTTfGGIxuLxvdPy2Fd1JqKsx5OQYjm3Z/J1durY2IBZLfJeTk2j/zrctB7GY/bvR1hZDLGb8PNmLobVVzTNVgTAW3PpA1TQ3x1BWZqCpSUWZifG0rc3wnVdzs4G8PAOA/7xaWrYtHOXnJyaZYTz3xsbE4kVeXsLQ0uVdkyE3172dJAzIHLS3+++Xm5uBoqLYz++jfjdM9ElOY665n3Fvy/7vm5cxxTBi2LzZcDWgnWhtTbwf8bhzX6+ahgagpMS5PGHEuz2D9vYYADG+hHMNoky3uhlG4j1ymsNmCi0t7vfevADZ3i7/rLy0E3HvVY3LhpHoO1TNJ8OAer88G/6GyzJOr169UF1djVtvvRVz5szxZPgLY9rJ7b6kpAQAUFNTQ873jjvuwAUXXIC99toLL7/8MgYOHIhvv/0Wr776Kk466SSMGjXKNY9Zs2bhCotwq1VVVWhSKckoJh6Po6amBoZh2C6mOFFbWwwgjsrKZrS0dENlZbVlui1bimAYQFNTPjZurEdRkfULKfKory9GLJbI14r6+m6orq5Gc7N9meY8Adim21ZmCbZsaUNlZTjShVu9zHWrrY2hvr4LKivp77VObNlSAKAHqqo22j57ldTXx9DS0gVNTXFUVTWguNi/JOC3rehOTU0xcnJKUVdXi5aWEtf2kvq3mc2bY2htLUdlZS0aGkqxcWMLKiudfIH7YuvWatu219TUDRs3ijLLsWFDPfLy9Bh9q6uLUFxsuPaBqqmpKUdbWxNqaopRWVnrM7e+AIC6ugZUVjocr0CgqiofbW2taG4u8H0vNm4sQFNTHiorG9DUVILKynD65y1bylBX14TGxnxs2tQe2pigkpyc3rj22hgOOmgTdtzRuv9bvz4XQG9s2FCFxkZ/E+ONG3NQWNgLTU0xVFI2/obMxo15aGwsQktLnu17uXVrGaqrG1FZ2U5oy31RU1OLykrv8zsvY4ph9MGqVZuRl+fd3bGhIYZ4PDGfCLPPqqoqQ1FRMSorq2zTVFeXYOvWRDt3qltdXRds2VL3899lCvpAd+rqyrFlS4Pr+9HS0g319S3YtKnVZdxLf+rre6Ky0jnwRHV1AerqcrFxYxMaG8uln5WXdlJXV4yamnbX94hKS0s35OYaqKysRUlJeghwW52OSjKhwMnTmSOPPBLTp08Puhgyd9xxB8455xwMHjwYr7/+OgoLCwEAI0aMwNixY7HTTjth0qRJuOGGGzoFEzRz8cUX47zzzkv+u7a2FgMGDEDv3r3RpUuXwK/DK/F4HLFYzNGLwonycqBbN6CiAigoiNl6fJSVJdST4uIYevYshk2yZB5duybOUbZLl5MTQ//+FY5lmvMEYJtO5NGlC9Cli32ZqnGrl7luJSVAfn4MFRWF4VROMV27Jv7fo0evUO7v1q0J9am0FOjRw/59k8FvW9Gd0tLEPevZs5tjuzJ/l3gnO6eLxRLKTkVFEbp2Bbp2LXV9Bj16dHPtFxL1dO5DwqasLPGfWx+omry8GH7xi2IAifvsh1gsofwVFJSgosJfPJuSEgNdu25FYWGB73tRVgZ07w5UVJShZ8/EOxrG7c3Li6FfvxKsWbPt2aYThgEUFsawYUMMCxf2woEHWk9UhX3es2dvdO/ur8z29sT4XlPjPKZFxfr1QHl5DAUF9vUrKoqhd+8SclsuL++Cigrv8zsvY4phxJCT08PXO1ldDZSVJeYTYfZZOTmxn9uwfXmJMTvR5uzGFyDxfldUFCEnR6Tz1wdSKCqKoVevYtf3o6Aghi5dCpJz40wmHnd/f8Tcuk+f8uRzkytDvp2UldFsEyoFBTEUFQG9exeitNRXVqFRRHQLIhv+33//PdasWdPhs3fffRfdHUaP+vp6zJ8/3zGNE8KAdorY3/Bz9JCuwtJw4brrrgOQOCVAGP2C0tJS/L//9/9w6aWXIi8vDzfeeKNtPuIEg1RycnK0NxJisZjneooAamI/dU6O9SYYw0gY/om0Mdu9NyIPc2AwO/LyYo5lmvNM5GWdTuSx7Rocs1OGW73MdcvLE3uW0neTUSLGQ04o91c8x8R7ZP++yefrva2kA3l5iQFOtFMrzG3Orv1ta+/md9etbPt3w1xOIo26Z6oC0bdR+iNVtLYCXbvG0NLiv0yx9zIej/nOq7U1/vOipv+8hIt/Tk7C9V52D7ZXWloSRmx+fnQxHPyQqH/i78TYZv0chAuuin7ZMLbt39a1f3Rro4n3LUZuyyrum8yYIhxra2r8ldvenmhPOTm0OZQqGhsTgo5TeeY27zQOJcaYGGkepZLEdjjn9yMWS2ylSNQrlGpFBmX8Eafe5OZ6n8fKzr0Sz0DduCxiFCTq4Sur0KDeK7Lh/9BDD+HKK6/s8Bklij4AnHPOOdRiOiAC+lVVVSEej1te1Pr16zukdaKyshJr164FAOy8886WacTn9957L2bPno1c3Q95jQBKwAtzcC5qVP+wA9DoHAFe5xMHKBhGuCcTcHA/eczB/ajvGuU4P2p0Y2rXqls7jTK4X2mpmqBq4hnpHtU/rAByzc2JwH5hH9GoitbWbYa/U7R98Z2KPrK9HdhrLzXBQYOAGtxP56j+orwtW/zl09qq7shNGRoatr2Xdsgc5yczp1SBTF+fDXMPw6AF9xOnIYQ5dqsuR9VJGjpC7rIHDRqEgw46KPnvN998E/vttx8KbML55uTkoFu3bhg9ejT+3//7f54qt9deeyEnJwetra1YtWqVZcC9r776CgCwzz77SOUds3miYnFh69atqK2t9eytkO2ITlrno1B07qjTvcMJ2/CPYqBJd1RH9ZeNwp+uE6ogogdTaGlJGKcqEPXX2fAvKAjvyDhxMkFenl4nSFBpaUkoq+Jvp3SAmj6yvR3Ybjt9o/tTjLYgzv5WSTyeeK7V1f7yMRv+Yc4txGkZTlCPVDQ/Tx2PiMuGuUc8DmzYAEyaBDz9tH26KI7zA9S+2yKvTHym5CnflClTMGXKlOS/c3Jy8NxzzwW6V6iiogKjR4/G4sWL8frrr3cy/FesWIG1a9eivLwcv/nNb1zz69WrF7p3744tW7ZgxYoVOOywwzqlWbFiBYBEQEHq9oFsgtoIzB0mVfEPW2nRvaPWuW5uCOMozNXeKAaadCYeTxiSKo5iM7d3quHPir8cKlU7ManR7Tg/HRR/XQ1ZJ8yu/k6KnGrFX3ej2a3vkG3LUSj+PXr4V/zb2rb1HWFeA6XPom7nMT/PsAUFCtkw92hvT/z3zDPO6cR8TLexW5Z0F+Ds8Dx9ufzyy1FWVqayLrblAMCcOXOSR+4JbrrpJgDAhRdemIzuDwAfffQRRowYgWOOOabDb3JycnDiiScCSAT5S82vubkZd911FwBg4sSJ2u5bixpKY5BV/FV3mpRyde6o073DicLVPxMGmjCJx4G//Q3YbTe531ndX/PkTbWrv27tVGYyqJKEsq6mbJWKf2Jyb8AwgNWr/eWVaviHpfhnkqu/08JFNhr+Tu3FfA2UdqVybLn9duCVV9zL69YNqPUZwJ6qqqumvd3do4wqEol0YQsKZjPAqdwovFbDhjpemNtemHPAdMo3SnwZ/mZjOyhGjx6Na665Bl988QWOOuoofPTRR1i5ciWmT5+O++67D4cffjguvvjiDr958MEH8eWXX+Lpp5/GsmXLOnx39dVXY5999sHKlSvx29/+Fm+//TZ++OEHLF26FIcddhi+++47DBs2DDfffHPg15aOBKn4h93AdN9Hr3Pd3IhC8ec9/nLE44lTOsR9ozwru3TmiSVV8ZfZBqRTW5Dt21Shsk2pVPxbWxOK/6ZNwA47+MsrSlf/wsLEu5uOhr+Mq7+qdygdDH+3PibKPf4zZgDLlzunEdux/LZT88JsmIuW5vZsB/UZiHRhGtipsWucnr/u80kVUPvGqIQY1e92ugtwdng2/Nva2nD77bfjH//4B+65555O319zzTV49tlnfVVOMGPGDLz88stobGzEuHHjsMcee+DVV1/FbbfdhhdffBF5KT3LMcccg169euGggw7CLrvs0uG7Ll264O2338Ztt92Guro6/O53v8PgwYNx5JFHorm5Gddddx0++ugj9O3bV0ndM5EgFH+3zjyIzkM3g8JMug8ivMdff7yo9E6Gv6yrv0xAQZ0Wc9Ix6nsqql39heLvl6hc/cV4lc57/Kmu/oWF2aX4+01jRuXYQhmrVI2jssGWVUEx/M3PwGm+GIWKTAlaK+5nus/ZKFD7xii2XrLiT8dzWKdnn30Wf/3rXwEAe++9N84888wO3y9btgyXXXYZTjjhBDzyyCO+3eYnTJiACRMmkNKOHj0aVVVVtt8XFBRg2rRpmDZtmq86ZSPURmA2KqhKolMHIbvypqLMKEn3lcaoXP11fqa6YTWpcZvI26UzGwGqFRndXCjN7p9RtFMdXf1lToZwIirFX5DOrv5UxT9bDH/ZqP6U91elEUB511SNo2Edi5lKW5v7OyIb3C/sPf4Uw1/Gay6dkTH8w96WAQSj+GfiM/XcFTz33HPo168f3nnnHbz//vudvn/qqaewYMECLFy4EA8++KCvSjJ6IXOcn87uvLqrwzrXzY2ogvvp/kx1wjzh0lnx1+2ZsuLfkYSxnt6KvyBdDf+WFqCoKPG3U/2F4p8trv46R/WnGv4qvFDMfb2Orv4yx/mFOR6Yt4vYiQqi/uku1lCg9o3ivqW74p+pz9Tz9OX999/Hddddh/322882zYQJE3Dttdfi3nvv9VoMk6bIrqTzcX4dSfeVRlb89YeiZqRiN+nycpyf0/tt/k7lMx0+HPjoI395ZILhr7JvaW+PITdXneIv3qMwg/sJ0nWPf2srUFoKuB2ylE2Kv9k13O7dlFXCVbYbyvsdjycM53RV/AF344nan0YVMM5tj39U2yiiQNbVP90VfyAzn6nnrmDdunXYf//9XdONHTsWX3/9tddiGM2QDe6nao9/EOhmXKcaO+lMVMH9dFOHdSZVpbdrfxQj3MsighPm91/lM12xwr9hF1VUf5VQ7yfFXVoY6yqekXkSHYXhn857/Lt0SZyx7UQ2Kv5OC5Ey0e5VzxfCdPWPKqo/ZSyg1s1sTOrk6m9WtzN97pFte/zTfZy3w7PhX1hYiFbCqNzW1ob2dBxJGVtkgvsB+u6319FINN9b3eomQ1TB/Vjxp+PFWLeb3JgVJd2D+4kgaF6JWvFX0S9Q619T416ebCBXJ6iLUYIHH1T7bqSrqz/FpRrIPsU/FnPuj2SO84vK8E9nxZ/Sd8vWLWxXf5k9/p98AlxxRTh1iwIZV/8o4h6w4k/Dc1cwYsQIzJ071zXd3LlzMWLECK/FMJoRpOIfxXF+OhmJYpUUSP+VRnMgnjDgPf7ypE5q7CbHqeq7neoh6+pPRbXC4zcvswqeru+aeKZu9d+0yT2vhPGkZo9/6kkTbu/RaacB9fX+yxV1T1fDn7rQnk1R/UU7dTP8o3D1v+8+4Ntv3d810a+q3OMfJpTxWLZuYUf1d9vjb47q/847wFVXhVO3KPCi+IcFK/50PBv+J510Em688UZMmzbN0pV/5cqVmDp1Km688UZMmTLFVyUZvQhC8adO7lU2bt1cs8yGv/h3uqJa8accexS2G2C6E5Tir7otq26nKibR1LOddYU6odm82T1NUK7+1P5j61b/5Yr7ka6GP1XxZ1f/zmmicPX/8ccYDMN9K0u6K/6UscDLCVBhbyEE7Pv6VLf2TDUWAXnDP2xY8afh+Ti/M844A08//TTmzJmDO+64A+Xl5ejduzcAoKqqClt/Ho3HjBmDM844Q01tmciRUfxl3D+pq7gqG7ZuRmLqXup07nBUG/5uBpbZ3U6nZ6ozXoP7qVL8ZaL6q3ymTnWbNw8YMQLYay/7NF6OQdQNqmcRVfGnGJ0UqF4oZlQY/oJ0De5HdVnPNld/N8OfEsNCoHJMFvc/LFf/qPooynhM3Tplfq/DMiqpY2S27PGXdfUPE1b86Xh+NHl5eXj55Zdx1llnIS8vD7W1tVi1ahVWrVqF2tpa5OXl4ayzzsKCBQuQq/PowEhDVfxlVnGjcvXXqaPOJFd/YfirvL9btth/J1ba01WBjQLZ/dSA2j3+VFQ/U6frvPhi4MUX3X8v2mdUQUnDyoNq+OfkqHf1p76TtbX+yxWka3A/WVd/VvwTyNwHlWMy1fAXBrsKwz+K7Umyrv5O99icTxR7/Cmu/qz4J2DFX298rdMXFRXhzjvvxMyZM7F48WJ89913AICBAwdi7NixqHA7W4bJWGQDPqmeQFPK1dFIzJRBI4jgft9+a6/E8nF+8qg8zs88eQvC1T8sxV+U54TqEwyoqOyrqGpMQ4P7/QjK1T8KxT9dXf2pRnhrK1BQkD2Kv1twPzNu769KoUAscFFc/VWMo+YFNXEdYcw1ZF39dYOyrYtd/TsTheEflOKvm42gAiUOehUVFTjuuONUZMVojmxwP+pvVE+gqXvFdFJ3ololDYIgjvNbt87d8NdxMUdXvLhVU47z013x91u31H2fYRj+5r5Bxb2oqAB69XLPi7J3XLj6qzL8o1b8093wdxpD2tsTxyRmg+FPCe5nRrRlOyNUtat/YSHd1b+lxX955gW1sOYalHuWug3Brm5RufpTvLuE4a/zIoYKqH1juiv+Zi+OTCTwV3TLli0YN25c0MUwISIT3E/1Hn+V6Laal2mGv2rF32nyxoq/PFTlmhJ7Ip2O83PKi1KnKBR/swGu4n4MGQJ8+SVdzXdCuPqrIKo9/uK5p/Mef/F+OL3DKhdpdDf8Ka7+ZijpojL8VSr+usU2otYtCld/yiIvu/p3Joo9/ipRvdCuG4E/mpaWFixdujToYpiQCFLxD7uB6aYO61QXvwRh+FOC++n2THWGqq5Sj/MLKqp/mMH9ADlX/7AWmpqbE4YCEO4+dIriL9JEscc/L0+9q79OXmBUKAs0QOLassnVX6Xhr1rxLygId4+/7FassIhq6xQF6h5/Du7XkUxw9Q/7OMIw8WX4b9y4EdOmTcOQIUNQVFSE3NzcTv/1799fVV0ZTQhC8Y8qSJZOg0ymKf6qjXCnvMRKu27PVGcoE67Ue243uTG/u6pd/cM8zo+q+Icd3K+pCSgqSvwdpjs61dU/qj3+FOPJDfO7m+mu/m1twbj662bwbNwILF6sr+EvFmCi2OOvs3HtNGfQwdXfqW6s+G8jU1z9U//OFDzv8d+0aRNGjRqFNWvWuKaNZXJLyDJS3X7tME/gotjjT0FHdThTmkoUij/v8ZeDavhTFH+zS6Tux/m55SUb3C+M9y1V8dfJ8G9rUxfVX3aPv4p7YR6rMsHwd0sXhKt/Tk7iBIgePfznq4IXXwTuuAPYbz+1hr8q4nHaAoyqcTQqxZ9iAFI9qKIyxtwWeVPrlSlzOCt0dvVXLTKx4m/Btddei7a2NvznP/9Ba2srSktL8c033yAejyMej2Pt2rW4+eab0a1bN3z00Ucq68xEDGXvi1hh1n2Pv04r35k0aAhDMGzDX7dnqjOU/dSp76Sd6hWkCq5bcD+zMRzWJNps+OfnuyuFqpAJ7qcCWbdfFYa6+RozxfC3ay8iuN+//w1UVqots7HRX34qEe+Nrop/akA7p3QqDKioFH/KfMY8xujmjWDGbXE8GxR/nV39AbVl8h5/C1566SVcc8012H///ZFr0YP1798f//d//4fLLrsMV199ta9KMumHF8U/7Aam256sTDT8VeIWlI33+MuhWvGXdfXXMbgfhcZGoLg48XcUhr9uir/Kvd6pBorbe6Ta8E/n4H7iGTgpxGKRZvFi4Icf1JUJ6GWwib5FxvB3mw+o7IdE3+vWB6qaE+i8x59q+Efh6p9avltU/0w3/NvbE+OQW38f9R5/v3NAc8DGTJxPep6af//999h3332T/47FYmi36F2POOIIvP32216LYTSD6uovq/i7DUaynQilwepmJOpUF79QJzYyUPb46zap0RmKWzVV8Q/S8Ff1TEV5fhX/dDf8b7gB+Ne/aGkphr/Ktm42UMJy9c8UxZ9yDULxb2/3/7xSDX+dgiJ6Ufzd3mGVhgz12DdVC+g67/FPNfwp72UUcyW7umVbVP/CQvd3Mt0Vf3b1t6G0tLSD0l9aWorvvvuuU7otW7Zg8+bNXothNMTsAuPkUuim+KcuIvg9ZssMZXDTzS08ExX/sAx/dvWXx4viTzH8VU8sVa26qzL8zYH20tHwX72anpZi+Kt0iZQ9zk+Fod7aGv7WDdWYo/rn5dlvBTEb/ioCxmWa4e8mPqh29afsfw9C8Q/jWVHrTh07ohZG3LwRssHwN4xE/0FdDA4TqihJzYtd/S0YNGgQ3nnnneS/hw4din/84x8wTHcpHo9j1qxZ6Nmzp79aMtpgbgROhp1o+E4N0MtKLxXKBE43xR/InEEjiEUMDu6nlnRx9VdljIk8/C4wprvi37UrPS3F8Bf3LF2D+6W6+qej4W82wvPzWfE3q7BUQ9dt0Vi14U9V/FWUG8WRedQ4BuaxQ+eFe7fgftlg+IuglJQxIZ0Vf5FXpj5LzyF5xo0bh/POOw9dunTBkUceiaOOOgoXXHABdt99d4wdOxYAsGjRInz11Vc45ZRTVNWX0QCKsU496idKlVC3QYYVf/c8nb5jxV8O6mQwKFd/KmEr/m5tMOrgfn6N3S5d6Gkphr9AVaR4GcVfxZ58ccQdkL79h3m8dXo/xLUGYfjrdN+CcPUHojP8/SKODwTCNfxlr5E6DkWBXd+QTcH94vFE/6Kj4R/UXDMThSTPhv/xxx+PF198EXPmzMGRRx6Jc845B0888QQ+/PBDfP755wAAwzAwYMAAXHPNNcoqzESLlXu+1aouxZUt1XvAycVLthOhuvrr1KgzzfBXdba3OU+n7zi4nxwUIyv1XlIUf+rEMl33+JsJ0/AX2wucXLkpqFb8Vbv6R7nHP13731TD38nVPy8v8139vQb3C0vxF/eOstAgEyvJDtl2pQJq0M90cvW3q0O2GP6GQTP8o3D1B3iPPxWS4b9kyRK8+eab2HPPPfHb3/4WALDHHnvgq6++SqYpKCjA0qVLcccdd+DNN99EPB7HqFGjcM4556CHLoe7Mkpx6qQpHSDVxctLJ5KOrv461cUvYSv+4n1LV8UuCiiTwSCD+1FRrfi7ufrLDPZhGf5NTdsUf78T97IyeloZV38VRLHHX8arQVfMwf0orv5tbdnh6q86uJ9qxT+sPf5RBPfzqvjrNA+iiFPZ5uo/aRLw3/86p0t3xR/I7D3+pOHu2muvxYcffohZs2Y5pisuLsYFF1yACy64QEnlGD2hdNLmTp/q6k/JS6aOHNwvOniPv/5QjCyZPf4ye7PFbyio3OOvOrBVFK7+YQagMxuUbgTh6h+24p+upAb3s7snwhMr0xV/qqu/lQejHSrHs7Bd/VOD+4Wl+Mteo9MziHrPOLv6J6515EhgxQr3dFE/Lz+YF3MyEZI59emnn2L+/Pk488wzk5/tsMMO2LRpk+tvW1tb8eabb3qvIaMV1IGS4ipDdfWnBokxQ1md19FIzJSOhvf464958mn33lEVf/OEh2pcR+HqL9yc/dZJENYkWmVcgXgceOIJ+XLdUO3q79YXin3L6Wz4/7wr0jdUV39gW/vkPf6dFzXD3ONPdYNP1+P8vAT30/lUDac5pZh7ZJJ4YwV1YSOKBRDVc81MVvxJXUptbS122mmnDp+tWbMG7YTZ3ebNm5PB/pjMgLofy63hUFd6qSvHVnV0S6PTIJNJg0YUhj/v8ZcjVXVyc+EH0t/VPy+P5glEJayJqsrJcTy+LV6AG1EY/tS+vq0tcR0qj/MLE8MAfvlLNXlRo/oDwRn+Oir+sZiee/yp77kqA0pnxR9IH8PfitRAcJkyh7NCxlMlnff4i7x0iwOmCtKjGTBgAN54441On8eId9nIxDuXpaSq9G5GvdsrEpSrf2pd7crW6dXMpEEjbFd/3uMvjxfFn3qcn46u/hTFX5YwDX9Vip2scU0N7qcC2boVF6uN6h8mVVXq8qJG9QcSz0uFq3/qs9LJ8Pe6xz/M4H5hR/XXVfE3o/vCvdOit2hXmTKHs4Jq0Kf7Hv9Md/UnrXMffvjhOOOMM/Dwww9j4MCByPt5JjBt2jQUiwONbWhsbCQvEDDpAUWlpyr+AjdXfy+Kf7q5+utUF79E5eqv2zPVGUq78qL4q95Hr2rCLY4i8uvqT+23VJK6lUInw1/cD9V7/N1QpfhH5er/7bfq8orC1T+1b8gEwz+M4H719TFs3hyuq3+q4h/GswoqNlNUUFz9M32Pv5ftG2GiOqq/+DvTIA13l19+OT7++GO8+eabeOutt5KfP/nkk6RC2PDPHGSNdbc9/pTJbGpnQ+lUKIO0boNMJin+4vnzHn998eLqT1X8dd7j79fVn3I/VKPa1V/GuKaqdqr3+LuR7ob/xo3q8qJG9QfUKf6pfYNO/W7qHn9K3cJy9Z81qwxLl8Ywbpx72nSO6i9znJ9A5+P83Fz9s2GPP3UhyquXrk5QPJbTFdJw161bNyxZsgSffPIJVq5ciYaGBpx22mm45ZZb0NXlUODq6mqcd955SirL6AXF1V/8bYfsHn+3zpW6xcCcl05kSkcTtqu/WfH3awhkCyqD+wXp6q96jz+7+tMnZZS0KpUR2UWJwkKgttZfmVEZ/ir7KWpUf0C94i+ePyv+NFpbY8ny3KCOo599Bvzvf8App1h/H8Uefy/Gn1PddJgbubn6Z4PiT7m+THH1V52vLkgNd7vvvjt23313AMCpp56KyZMno6KiwvE3GzZswLnnnuu5gox+yAT3c1P8BdQ9/jKDL8XVXyeVIpNWi6Nw9RfB/XR6pjqTOohTFH+7BbogXf3DjuqvY3A/L6cmUPJSgco2LrsooSqqv+xeZBU4uePLIuvq39am3tVfpwXXoIL7qSA31/j5/+5pqf3RK68As2Y5G/66Kv5mdB6/2dVf7z3+gHpX/0x9lp6dMRYvXowePXq4puvRowcWL17stRhGM8wdH3WgpHgFUF393Qx/c4Pl4H7Rodrwd5sQcHA/b5g9bqywcvWnKP7p7OovQxSu/lSPCjtUu2GqVPxl9vh7CR4WZD6yBGX4h+3qr6PiTz3Oz0xYwf3MBrgbVEPL7ZlHFdwviNhMUUFx9dfZ8D/jDP95hH0ahQyptomf94j3+NswevRoUrr8/HxyWiY9MBvrFOOa8r2TweZF8ad0OmEHgnMz7DOpg1G9iEFd8OHgft5xUjPMf6uK6k9F1WRQVXA/M5nu6i+DqnZH7TdUHnUWxX5UlQp5lMH9xDPQSfE3u/pT24tbP6OqHzLPn9ygvuNuzzyq4/wySfEH0tvVf906/3nIuPpHeZyfeBZ+FnSpAmI6kubhF5iwoQZisfuN3edODcxqj79sXa3QTR1mxd8eGU8PnZ6pzqS2P7c0gLPiL9pobi7NCIhK8XdT/9LB1T+TDX+Z8lRchxcDRQWqFX8Rp4CiXGd6VH+z4k8dhyjtSqXir9LVPz/f+X0yz6FUL8zaoXqPf9RQXf11RUX71NnVn7p1WCavTJmPp8KGPyMNRaVPTWuFuXNw6lRlFH+dXf0pnUimdDRRGP4ykzym87tG3eNvlc5smFID6FGfk8rgfqonvemo+EelxqhG1QJGVIp/a6u6BQdznAK3d1wo/qpd/XVV/KkGWVjB/YJy9XfbCseKvz+orv669q0qDH+dg/sBcraJE+zqzzAmvKyquQ2m4v9Ohj91j39qvk7oZiRmmuKvUkVze+68x98fMnv8gw7uRy2TyuefJ459Ky9Pb1f/KBR/mT4p7L40E1z9VZ0mYDay3N6PbIjqbw7uRx3nKTGL1Bj+xs//d79nMq7+TvAefzWks6u/aPN+6kddiIqiT1Wp+AMd+7ZMQ9O1KSYdoAwg1D3tTum8KP6p+dvVTScjMdMMf5WDOO/xDx4/in+q947X8oDOkye/7fTMM4Grr07kkZ/Prv4ykzKZe5Gurv5RKv75+WrySo3a7vSOC1d/VYq/IBsUfxUE5ervRFTH+WWa4k9x9dd1DmcY/vvobFL8rf7OFNjwZ6SRbVxOe/zNnYPKPf6UdLoZiTrVxS+8xz8zsDL83RR/1WX6fY+EURSEq39Y75tKV/9M2eOv6jqi3OOvSvE3G1lUV/9sUPxltn+FpfibF/DcoC5uySr+YTwrc5l77kn7TToa/qlGoq6Gfzyups1nyx5/VvwZ5meojYsaHCNKV3/djESdBw1ZeI9/eiHj6k/xDKDg1HeYJxeq9rQbBs3VX1bxD+N9i8rVX2fMCzoq8gmbtrbgFH83w7+tTb3hr5Pibzb8ZRR/3Y7zoyqsFMU/Slf/jz+m/UZ3w9/pO93mk6kYhv/6yRznp0NUfxV5ZeJ80vOjGTduHKqrqxVWhUkXZCegbosD5jyt8LonleLqH1ajppaTSYa/6mvhPf7BQnX1V6X4y7j6q1L8qYEHqWS6q78MUbj6q1BlstHVX4URkNrmdVL8za7+1PZC6WfCNvxVufqrXDikkmnB/QBnxV+MjbouqqpQ/HV29Vet+AOZMx9PxfMrumTJEvz73/9WWRcmDUg11u06acp+32xy9ad0hJmk+KtS4wRuefEef3+oVvz9DroqFX/xLsbjCcM/E6L6+zGygtqH+s47BsaMUZ+vHeke1V9lcD/zM6W4+gPZofjLjAkUTwmVhn+Ye/yjMPyp7Yq6yBv1uO4W30b3Pf6Z7uoPqN3jz4q/DSeeeCIGDRqEq666CmvXrlVVJ0ZzzAMIpVE4paG6+ssG99PN1Z/SYWaS4R/VHn/dFQOdoSr+fl39xe+jUPzz850NFC+u/mEr/n7jFARl6A4YkDg5ISwyYY+/KsVfJgaEeI9UKf467vE3K/7Ucd6tn1Hn6m8k6+YG1dBye39Z8fcPu/rTFzaiWABRqfgD254pG/4pfPLJJzj//PPxzDPPYPDgwTjiiCPwwgsvoF2nEYBRClXxN6eh5qVyj39q/laEqQ5TOsJMM/xVXgvluafD4KsrMoq/nau/zHYct+8pZVKRMfxlCVPx193VP2xU9TFRuvoHofg7eYSY22k2KP4ycV8o7UrFfMG8gOeGKgNKZ8XfjFPddJgbUVz9w6rnv/8NfPcdPX3Yin867/FnV38bpkyZgu222w5Tp07FJ598gv/85z/YfvvtcfLJJ2PAgAGYMWMGvv32W5V1ZTSD6pbllIayJUBG8afUzZwmTMU/UzsRK1Qr/iJPt+8ydYU2DPwo/lYqvVs5Tv2CedLgt52aDf+CAnfFX4aoXP3Z8M8MV39Vij9A8wgRXlGAOsNflBmW4f/qq+5pvAb3C0fxT/z/2mvd04p7TFksdfue0n8YBnD55e71opCJir9Orv4ffgh8/z09Pe/xl8uLXf0teOihh1Bu8usbNWoU7rnnHqxfvx5XXXUVlixZgmHDhmH8+PF48skn0draqqTCTPRQjPXUtJTvKa6/ql39eY9/MKg2/Cl5ZbJrVtBQFX+7SbSXd5fq6u/3PTLv8aco/rq7+utm+EfV3tLd8Ffp6m+GslcdUOvqn5cXnuH/m9+4p0lV/Kmu/mFG9a+ocE8rxlG/8wJq/xGP0yPwU8qUbVc6j98UV/+w53Ay90qFq3+67PH3O0bK2BHpiPLhrqSkBOPGjcPYsWNRXl6ON954AyeccAL69++P8847DytWrFBdJBMiqR2Nnz3+VFd/c2eTrq7+2Wj4q7wWlZGZGWvs7hvFCPeyx9/p+6AU/3R29c9GxZ+yyOuXKPf4q3L1N+P2fohrVenqn58PtLT4y08lYquDMJpVuPqrGs9k2p6Mwur2PcUjxDDUjZ9ii6ZMfjor/oC7q7/5/2HURebeqlL8Ke9v1GOMCm9eVvwtuPLKK9HQ0JD8d2trK5588kmMHz8eO+64I6677jrU1NRghx12wNVXX41bb70Vn332GXbddVccd9xxqKmpUXIBTPhQOjhKGqqrP3WBwJxnOrr6Z5rhH3ZwP5GOkcdJ8U9NR1H8Kc8qbMVfGP4qnc94j3+wULeA+SFTXP0FubnOgfZUK/6A+nZlB3XRTly/2NqgU3A/WZVWteHvFANChXEoEKcxybxnOhv+FFd/kS4MojL8s8XVH8jc+aTn4e6KK65AfX09li9fjnPPPRf9+/fHCSecgNdffx35+fk47rjj8Prrr+Prr7/GxRdfjD/+8Y9YtGgRli9fjurqapx22mkqr4MJCZWKP0AzFlIXCChlUhpsFIp/GAqWDoRt+Is0omxGHoqSH5bin1pmWHv8ZUlHV/9UDyo/qO6zZCey6Wz4Z4LiLxT1sBT/xkZaOkpwv9TPKIq/irYukwfVtZqSD6X/CELxzyTD3+k73Q3/bHL199tWzfXPxPmk52HHMAwceuih+PTTT5P//uUvf4nTTjsNJ510Erp37275ux133BFz5szBPvvs47VoRhNkjDErZJR8L4Z/uin+mYRhqHefpSr+mdhRR0XqexvGHn8rV38Vin88nr6Gf1Cu/mG5flKReYdU9anZusdflfon9viHofhTDX9xbU7B/az6Nqd7omohW6btBuHq72b4q0Io/jKHfIU5J/MCZQFJ1z3+YSr+5nRhimsClcf5ZSK+1puXLVuGsrIyTJ48GaeffjpGjRpF+t2SJUvQptPZLwwZL+75VCWfkpeMak4x/MPslNyC9GTS4gDFw0EGDu7XkaefBiZNUpefk6t/UIq/jKt/WHv8ZdtgVK7+fk7MVWnoqlIkvaBS8Y9ij39Urv7iWlW7+oeh+Jt2lzpiNvypfZauir+KOUGUir9MfmF6YcrCrv5yin8mHOeX+nem4Mvw/8c//oE//elPKC0tJf/moosuwg033IDdd9/dT9GMJvhR/M3fOxlsXl393dKFOchQVkozzfAP29VfpMsGjjlG/btLmRy7TX68lpP6vergfqLeqheGonD1l3WftcpL1aQsyngBqsoWymTYtLXJLThs2AD06eOeLizF32zwhLXHn2r4U47zk/UsUtXW43H6IEXtV1Up/kHs8Zc1/HVV/NnV39se/zDvh0DVcX6ZKiR5Hu4GDhyI448/XsroB4CZM2eiqqoKb775pteimYihGOHUvftO/5YtU+RBddHRzdU/Ew1/VXlRnrvV35mMyuukKv4ybrN2eFH8Vbj6U95J2XLS1dVfdiHVKa+oDH9VfUxU1yBb/759aekyOaq/rOIfi9nfD1nPIlVGQLbt8ZdZ3EpnV3/dDf+wFf903uMv8siU+XgqnruUhx9+GF27drX9ftOmTdhvv/0wY8aMDtH/i4uL0bNnT5SVlXktmokQ2Y6D6trupvib86PWQTdX/2wy/M0qq1+o3gOZvEJrherdUlR3WLt05gkBdZHG7nvKYgMVc5Ap6oKgU93MpHtU/yAMf528qKj5pMspBxTsXP3FOxRUVH+dgvuZXf2pXkphGv4vvritIKc8o9jjr1rxl2lbKud3qtHN1V+UTSUeV6P463qcn1c7wS2vTJxPen40Y8eOxebNm22/z8/PR58+fXD77bfjwgsv9FoMoyGyapEKF+10d/XPJKOegkpXf0pe5lX3TOyorVDpWutX8fdihDkt9JknDSoUf7Orv19Uxh+gojKqf6rhr3LbQNjbp9J5j39QuCncQSn+urr6290PWVd/VeN3ezswaBCtzLBd/VUr/jk58oo/pfwotgRkgqu/32er83F+gDpPNhnP4XTE87BpuNzVLl264IUXXsBzzz2HF154wWsxjGakrqq5paMq/ql5O5XJrv76o9rwpwQJyuSO2grVE22/ij/13rs9R9XB/czvots74nYdUSr+QUT1V7WNQhBmn5rue/yDws3QVa34h+nq70Xxt3vHvfQzKheyRZlu85kwXf1V7vEXC2qyir/KdCpxUvzF9+b/B43sc8p0V3+qbUJF5JGJQlLgw912222HqqqqoIthIsKP4i/j6u9lJS/dFP9MM/xVXYvsIkImdtRW6KT4Wz1vt4U8quLv15hsb9+2cKTqmB8Bu/pHp/ir6mOiXLwIAjtX/1QFVpXiD/g/aYIKtQyxWKwyuJ86V/8Yuf0F5epvdx+DcPWX9abReZy3KzMdFH9Vrv6U61O1DUsWipBIgSJcpjPkqP5vvvkmlixZ0uGzG2+80XGvfn19PRYuXIiBAwd6riCjF7JGuKoVXNkyqelY8Q8GlYq/OTibU3kAu/r7gaLkU/fLij31VpM+N8M/qOP8VExGolL8U1V6uzKfeQb4/e+dj4lTbfhHsRAiyg4iuJ94d9PVC8DJ1d+s+Kt09Q8Lap1F3xOL6Rncj+q9Y+5X/cwPzL91OhVEV1f/1M+iGOedFsfN3+tq+Kt4tjKKf9R7/P3mlcmKP9nwX7x4Ma644grEYrGkm/+NN95om96c7u677/ZZTUZH3PY8CShKvls6c75UA9CNMAcPNvyDz4u64JMpqHStpbZlqqt/bq79cWUy6pRb3SjI7PGnuPrrrPhPmgSsWwf072+fV5B7/NPR1T91gUrnI8UouBn+4lpVuvqH1edS65yq+PtZ1KR+T0V4IFHyFGOfW/+lo+KfutBEQdWzCgK3uoVt+Iuyqahw9U+XPf6iDl6Jom8LE7LhP2bMmOTfhmHgqquuwnnnnWer+Ofk5KBbt24YPXo0Ro4c6buijD7INC7qJDobXP3TVUHygsqOn2L4Z7prlhVhKf5mqK7+eXnubrlO7V1lpHjz+6Ny7x8QnouzjFu1Wz8T5B7/dHT1T93jn+6Gv52iKybtqhX/MJEZ+4XhTw3uF5biby7XrUzxzKiCB6VMp2emco+/eD9kFX+nvNzSBY3dvckWV3/qPDYKV3+Vir/II1Pnk2TDf/To0Rg9enTy31deeSUuvPBCVFRUBFIxRk+ojcucjtI5UVbbKelkVurCVqdY8feeFzW4n0ifDYQRRZuqtFgZ/nbHDbq956ltxe+E27zHX7Wrf1jt1WxgO7nqAnKGvwpX/6iM5qBc/cNazAkKu/qLPjmdFX9qOebAcnb108HVX+V8xq1MWe9Kv4i6y7ZRVcKOaty2Iehu+Kvw5qD2uVEJXSoVfxX56IrnR7N48WL06NFDZV2YNCEoxd8pnTk/6kKCG7qpU2z42+flZuyYB99M7KitUB3cz4+LZWo64epvhdu7kTppUDXppUxG3Nqg1fdhvG+pir9TW3BT2FLVP5WGf7q6+lvt8U9XqK7+qhR/3V39nRT/KFz94/FY8hlQ9/irUPyp3pVRK/5+xqEg0c0bwYvir8Lw19nVX6BigT+TFX/Pw+bo0aORl+fuMFBbW4tTTz3VazGMZngxwp3yoq5Cy7j6U5XfMCep2Wj4qzgbu7GRFtwPyOw9WVaEcXwWdVJjZaw75en0PK0Ufz+I8lS5H0YxyTPXXUWwQ5FXSwswb56/vMzPPazz3AF1/WWm7fF3cvUPIrhfmMiowebgfnbGZBSu/uatJRSD3slrgQob/mqwKzMKV3+n+tilDcvVX4e+we/7kckepIE7YzQ2NuLhhx8OuhgmApwatqzLjYyST1n5pi4QsOIfDOJa/N7fkhI574FsMvyjOM5PfJaKlVHtpp7ZoVpVNy8c+W2DUb1b5gkXRSV0wmysV1cDZ5/tvV6phn9JCdDQ4D0/P2V7JZ32+J93nnsaO1f/oIP7heX5QiHV1Z8S1T88xT+aPf4UwzSIPf6ywf0o30UxT0p3V/8wFf+oj/NTIRaoyEdXyHv8H3/8cTzxxBM455xzcOihh2LcuHGk37WEIUsxoUFV6QWqXP1lG3Q6uvpnEjLGOiUvtz3+2WLsm4nqOD+731InZm6LQlbeA36erzDsVLRB1YsSXspVafiLtK2tzkcAUvICgNJSoL5ePh8vZOMe/1tuAW6+2TmN2/F1QRznF9b4JuPqL7wbZIL72W1PAtQZ/uZyKQa9Ck82Ge/KKBV/8TuvnwWJ29iXDoZ/mIp/lMf5Wf1bNq9MVvzJhv/ZZ5+NrVu3orKyEoceeiiWLFlCLiSWTRZPFuE2ebf6OzUNdRGBmk6mwbKrf3CoPAebuoiQba7+Oin+Mu+uW1rVwf3Mir+Kd1J3V3+3Ps3cNkVar/c3SsNf1fO0ilOQbpjrbOfqL+6XasU/TKjvqVgslgnu5zYfUHWt7e0xz8f5OaVzIlU8CdPwz5Tj/EQ9rNDZ8F+/HujXT82zlQnuF7Xi7/dazc800yAb/rfddhv++c9/YurUqcnPnn32WXTv3t3xd5s2bcIxxxzjvYaMdsg0BhmFnrKIoGpLAKCf4p9Jhr+bqisDZY+/2TWLDX9vqFT87fITn4cZ3E/UzRzkzy2t0/eUz1RjvicqFX+/hn/qswrb1V9Ff5m6xx9Ivz7EXF83V/+gFP8wkDH88/K2GZ6U4H6U+YDK8UyUGYWrv66Kv86Gv26u/uaynTjzTODFFzPf1T/VTlCVV7qNBRTIhv+UKVMwZcqUDp8dcMABrsf5bdiwAUYm3rksxYsRTlH8ZVz9qYY/JU2Yir/fiOLphLheFfeXFX9rVO6iUq34u7XnMIP7iTxSXTK9IHOdKjGXq5Phn4mu/uneB3NU/22GP+BssMmcSKF6IZuSp6p7TJ1DBbHHX9bwV5lOJenq6i/e6Ux39QfonsFuRNG3hYnnR7N69Wr06tXLNV3v3r2xevVqr8UwGiLTwaky6KnpZBps2BOWbFP8Ve7xlwnuly1EpfhT0rlB7Rec6iaDmCSpWkRIzTtoZFRCGfXP70QwE1z9U4P7ibzTFaeo/mbX60x29QfgemRe6pjsNsaomi/Ieu8E4ervlE614S/bRqnjSxRt1K7MKNzCZQ1/Fc9W5+P8VCr+Io9MnU96HjYHDhyIHEKLzsnJwcCBA70Wk2ThwoUYP348evTogdLSUuy5556YM2cO4j5Gr5deegkTJ05Ev379UFhYiL59++KAAw7ARRddhPXr1/uucyaS2nE4dYRuabyUKTP4uqXTzdU/k1B5vYYhF9wvnSftMkSxx1+Vq7+bu6lKV3/xexVeN6n1iErxdwo+J3OvVCj+5nsQtuIfhKu/zv203fubasBavR/i/U9nxV+mHKH4y7j6h3WcH3WPP9XV343Ua3Xqe6NW/P0sQAcJ1dU/LKXbi+Kvos1Tri/qqP6A//aiIh9d8fyKVldX4+ijj8Yf/vAHnHTSSZ2+P/bYYzFt2jTU1tb6qiAAzJ49GxMmTEBRUREWLVqEjz/+GOPHj8fUqVMxceJEtDmFYrWgvb0dU6ZMwYknnogDDjgAixYtwooVK/Dggw+irq4O119/Pb744gvf9c50qKq6HVTjUMYzINXtyq1uHNwvGFQq/pQ9/kBmu2ZZEYbiDwTj6u/0vergfmZ122/7ikp5Mpdrp+h6qY9qV/90PM7PKh9d+5A8m82Z5vq6ufqn8x5/mfHai6t/GIp/PB6TUvwp91hW8Q/T8FcR3E98R0kXFLq5+ouy3VDp6p8tir+MHZGOkPf4pzJv3jw899xz6NOnD44//vhO348cORI33XQT3njjDbz99tvo1q2bp3LeeustTJ8+HSNGjMCzzz6L/J/PHJo9eza2bNmC++67D7Nnz8Yll1xCznP69Ol47LHH8M4772DUqFHJzwcNGoSddtoJv/rVr1BYWOipvpmOjLFu9beXvMxQO3xKOt0Ufzb8vedlXnXXddKumjCOHKMq3FZKgJuiL6P4+8Gs+PvdnpT6fVjtNdXVXyfFP91d/dNpj7+d4W/GydU/E6L6U8v04uqfrnv8VRn+KoUQr4q/XV6UdEHjtCiRDa7+1D5XVd8si0pPY5FXJs4nPT+al19+Gfvuuy++/PJL3GxxsOyll16K5cuXIycnBzfccIPnCs6cORMAMHXq1KTRLzj//PMBANdffz0aGxtJ+a1YsQK33HILjj322A5Gv2DIkCFYv349fv3rX3uuc7bgV/GnIqP4p/7OCVb8g0PltVx0EVBdTVf8swWVAxLVxdKuXNmAfG6TT9WqOtXwp0ygZX+jgtQ+0C0t9XvVhn9+vvNZ6CpR5U6aTnv87YwoigGbCYq/jEGha3A/8/umao+/G9T+I2rFX/zOLi+3dEHi5uovkFno8AP1WYk0qqL6eznOL6wxUqBC8VeRj654Nvw/+eQTXHHFFY5Kfr9+/XDNNdfg+eef91RGVVUVlixZAgA4+OCDO32/0047Yfvtt0dtbS1eeeUVUp4PPPAA2tvbMWHCBE91YuRdmlQo/l5c/SmGIiv+waBS8X/kEeC779Qt+GQKYSxapb6Tbu6OXvKklOnnmZoVf78qBPV+qEZmIuX2Xpjz8es1osrdPsqyo97jL/NuUxR/p+P8zAqsKsU/bFf/IBV/p+tQdZ3mfsgtzyCO83NKr9LwT33fKFAXoNnVX17xj8rVP8z+VNVig7n+mTif9Dxsbt68GTvttJNrupEjR2LNmjWeyvjwww8Rj8eRn5+PIUOGWKYZPnw4AOCDDz4g5blo0SIAwNChQ/HYY49hzJgx6NOnD/r164dDDjkEjz76KPj4QXtSb40fxZ9qLKSu5FEeD9WlVyfDP5NQafgDiYksZeKTTa7+qhV/uzIoSouMIuP2blgpcX4Nf0DdyRpRKE+p7sFOyNRHjeLf8cc6qr9ORLnHX/bdpuzxt3P1F/dLteIfJjJlugXQszImw1D8zeVStrCpWFyhLjYEofirMPy9plOJU5lmw1+34H4ijYpn67XPjULxV2H4Z+qc3fMe/y5duuCnn35yjdj/008/oaSkxFMZq1atApA4EtDuBIF+/fp1SOtEe3t7Mmjf9OnT8e2332LWrFnYc889sXbtWlxxxRU46aST8Morr+DRRx9FzOGpNzc3o7m5OflvEcQwHo/7OmkgaOLxOAzD8FxHw4ghHjeSA2R7u91gmUhnGPZpEq5HiXTmvFMR6kUijxja2w3bATqRNvZzudbpKGWqxlwvu/I6Xmd4dQuCeDwGwPj5ev3klGj3hmH8/B5Z3w/hxpYoT81989tWgiUHbW1xX/fW/H7F49bttPM7aZ0uHo/9fK/EJx37idQ8YzH774WreMe9iX6eaeK34lqc87Kvl6h7x/4DCt5xd8z3N7Xf7EgO2tud34vU/i/Rp1r/JvG9fbtrawNiMSPZTvzej9TrcnpWbW0q3g2gvT3RV5nfXacxRhWGEUMslhinaORg9GjD8lpT70F7e+d7knhWMcRiBoCcn99z7/dN9PFiXHMa2ygUFMSwebOBsjKnMoGcHPfnbRgx5OVtq4/V/TD3Q+b87Z57LOY8flMQY8m2MSWGtjb7d436Tib6thzbsaq9fVv/IdqnXd+rat4hykpMo+3rZh6v7eom5k/b6uXcT6uCOkZuM6pzEIv5a1cydaP0U+L+xuP++zXxHrm9Ix2/l3+fvMy9DMM8B/H3fog8ts07veUTNtT75dnwHzVqFK6++mo8//zzyLVZ0ovH47j66qst99JTEMZ0cXGxbRqxqFBTU+OaX01NDVp/DoX95ptv4qOPPsIee+wBABgxYgR+9atfYdddd8Xjjz+O0aNH44wzzrDNa9asWbjiiis6fV5VVYWmpibXukRFPB5HTU0NDMMgHceYSl1dGbZsaUJlZRvq60uwZUsrKis7hxdvbu6Gyspq1NWVoLq6DZWVLZ3SbNyYi8bGElRWbgUAtLQkfpNKdXUB6upyUVnZiIaGMmzalCjfis2bY2hqKkdDQ9w2nbkcuzJVs3FjLpqaitHSkmdb3ubN+aivL0BlZX2odQuChoYuqKtrQW1tDior/YT57gsgMdlqaGhCZaX1KSE1NUVobQU2b25FQ0MxKivrfJSJn8v011aCJCenD2prt6KykhbbxArz+1VXV4z8/DgqK5s7pEl9J2trC7F1a06ncuvry7F5cwMqKxPWdWNjF1RV1SEW6zwQVVXlAOiJ2to6y/qnlrlpUy4aGrb1E7LEYn1QW1uHLVvaUFeXi5aWQtt2FYv1wdatdbbvbE1NDM3NXVBZmRhvqqsLUFub5/Mdd6exsSs2bqxFS4uBjRtz0NBQanM/+mLjxk0oK7P34Tc/9+bmXgDyUFlZhaamzpOzlpZuAGB7vzZtykdDQz6qq6thGAa2bCnE1q3bnp0sqX2eUx9YU1OMwsI4WlqKffWTDQ1dsXFjDYqKEv9uauqCjRvrkJcX7GyvpaUbcnKADRuqSS78u+3WE4WFrZZ9YGureUwDGho637eqqsQYVFVVB6Avtm6t99VPNjV1Q1VVNZqaytHaWoCWlnbPz6GlBWhv74v16yvRtau9kVBTU4JYrByVlZUu+XVDe3sMlZVbsGlTDA0N5Z3uW1VVx/lHTU0Bamrs23JLS3c0NcWTbd8L8XgcbW3lqKzcjJycHDQ1lWPjxgaUlFi315qaEtTUtKG5uQiVlVttF4lqa4sAdLO9L83NiWcViwHV1fmoq8u3vM6NG3N/bnObPF+jYOvWEtTUtKKxsQCA/TMzt/Ha2sQ4XlnZcQ5dW9ux3038vRVtbcEa2KljZE5O5zFyy5bEeLV5cxOA3mhraw5l3lZfX46amtZO9yqVpqYeqKzcDMPoi02bNlvO16k0NXXFpk21aGnp6niNHceYbtiwoVrK88PL3Ku+vhybNjWgrKwd9fXOdoIbmzblob6+CICBzZtbfN2zMNm6lTZH8mz4T506FYcffjhGjRqFs846C/vssw969+4NIGH8vv/++7j77ruxbNkyvPzyy16LUUqD6ZyhX//610mjX1BSUoI///nPmDFjBm6//XZHw//iiy/Geeedl/x3bW0tBgwYgN69e6NLly7qK6+IeDyOWCzm6EXhRGlpDD16lKCiAigrA7p1AyoqOqcrKIihoqIC5eVA167WaTZvTuRXUVHc4TepdO0KbNkCVFSUo6wshu7dSyzzAxJuZUVFMZSVIVlPu7o5lamaqqrEtRYUwLa8bt2A8nKgoqI01LoFQWFhDN26FaGhAaiocJBwiBhGDEVFxaioKLL8vkuXhFrRsydQXBxDRYU3LyMzfttKkOTkAKWl5aioKPech/n9Ki9P3MPU1y31nezaNXGfU8stLo6hV6/i5O9LSmLo1avIsv21tAC5uTGUlVnXv1s3UZdEmQ0NiTYt+glZYjGgrKwMXbsCNTXO7UqktXtnCwrE+5U49aV7d3F//L/jThQUxNCnTyHKy4HmZlEH6/vRo0dP2/5R5CWuPycnoej36tUbVuF6CgoS39vdr65dgS5dDHTr1g29e/dGjx45KCvb9uxkSX02Ts+qrCxx//32k/n5MfTtW4iCgsS/i4tj6NnT+t1VSUFBQpXu3bsCKXGLbdMXF+dZ9oHme9Denrim1HtSWQmUlW3rG0tKSn31k/n5MfTpU4GSksR1FBTkeX4OdT+vP/Tq1Rvdu9unKytLtFG3cgoKYsl0OTmJ8Sj1vqXOP3r0wM/vrnVbLiwU47f3E5/i8Tjy8tp+rlcOSktj6N692PZdE+94on8tws9T7E6U/9yN2t2XRP+R+K5Hj8TpG1bXWVUF5OWpmXeUlibKEtNhp7qJ77p2TfRvFRVdUtJ07HeLihL3o1cv39V0xFy3Ll3sx8iyMqBXr9Kf61YYyrytuDiG8nKj071KJT8/hl69EvXp1q27r34t0a8Uuva55u8TY3eFtOEvO/dKzDmKf7ZNYrbzfwrr1yfyKCsz0L17aeBjgSqKiqznx6l4Nvx/85vf4KKLLsLs2bNx1llnWaYxDAMXXXQRDjvsME9lCAPaKWK/MOa7du3qmp/Zc2DEiBGWafbaay8AwBdffIGGhgbbbQqFhYWWR/7l5ORoZySkEovFfNUzNzeW3CtoF7U18fm2dFZptv0+1uE3Vnnl5sJUZswyv215iP051ukoZarGXC+78kQa8168MOoWFHl5MU9Rfa0QLsdu925bQCc1981vWwkKp/dbJg9xn8ztq3OabZ/bpUt8F+v07tq1P6fvgc5lJj7z9kzFvRJ5ubUrt/7F/HtzdO6gMfe7iTLt2kKOY33M9ReegYl33DqtU1mJesU7tBM/bT712bg9K/E+JlzYvZWZyKfj2epO76Yqto0JtLLcnoX588Re3M7pxLUl0sR89ZOJcTmW3E+rYryyew87pnEvJxZLxEPIyUksSljdj23zisTn29LZ55ko3981Ju5TTvJa3Z5/4jrc+6VE3awTUPss8SxVjZ+5udviUlDqtq1/7pgmde4k02780LlM+zFSjFOJviSceRv1Hoj5E+DevtzYNq9zGkM7zrG9PCvZuZd5TuF3fmS2NVTNYcOAeq98Xc6sWbPwxBNPYJdddvl538e2/3bddVc8+eSTmDVrluf8RUC/qqoq270L69ev75DWiW7duiVXRHr06GGZpvznpVPDMFBdXS1bZcYCp0AyspM1nYO/OJGNwf1UPgO34H6AmiBI6YJbICov+Ana5zW439NPW6dJDbrlB/FOUAP3UYJtqaobldTgXG5pqag+zs9PXl7L9tsWZN5d1cj2V37GvlSjVtU1quhzqb+XieovdmLa1c/qCNIwgvuZcTrO75ln6FH9ZXDKS8WRbwKvwf2c8jKny/bgfgA9uJ/ffl7g5SSVMMdIVWWKvDJ1zu77FT322GPx6aef4scff8R7772H9957Dz/++COWLVuGY445xlfee+21F3JyctDa2mobvO+rr74CAOyzzz6u+eXm5mLkyJEAgA0bNlimEZ/HYjHHowqzGdEY3DpC8/+toBrD5nTUibluDZZyrZm0OGA27lRAnZBkyv1zQ+W9dYJq6MoYxOa0VkNE6nWpMixUGP4iTWreQZNqpLj1gTL5yv4m9fepJzCEhehj/L4fUSzmeDHoKONt6t+pZQZl+PuF+h7KjJE/O2/aGtepeYV1nB81z0mTOs5nVLV5p7y2BanzzzYvEPnf2eUliGKcdxr7zN+HaehSDf9tgW39lSmz8JZahzCgjpFumN+3TBSSlK1N9e3bF6NGjcKoUaPQt29fJXlWVFRg9OjRAIDXX3+90/crVqzA2rVrUV5ejt/85jekPCdOnAgAWLZsmeX3Iur/brvt5vk0gkyGuqpmTqdi0k41/O3qEDXZZvirPt/bbZBT+b6lA05KkRecVEKq4i+j/LpNPlUa12bF3+87abUoEQapfaATMu9Fpij+Kg1/8VmQxOPb3Jqpk3e/i32pz0pl/xGW4u+lDdsp+VaLVjop/gDd8JfBbd4WteJPWdwS+YeN0xgZtqEo86xST+fxU2Y2KP4ij0yZj6cSuFPKhg0bbKP+U7j88ssBAHPmzEFbW8cIjTfddBMA4MILL+xgpH/00UcYMWIEjjnmmE6/OfPMM9GzZ0/873//w7vvvtvhu+bmZtx9990AgPPPP99znbMJWXUs9bfs6i+XJl1oagJKStROIijvmm7PPSjCvE6Ki6WV26wdFCNGpVunyIuiVsi6+ovPgkZGrZWpj0jr9RqiVOJUuUFHcQ3t7fKLFtSFdjtkvEZkUNEXURegvCiOdn2N1XPXSfEH6F4tsvVyWnRVhRfF32kBmpIuSKiu/mEho/irdPXPFsVfRT664jm4n5kffvgB69atQ0tL5yPbNm3ydyzI6NGjcc011+CSSy7BUUcdhSuuuAJlZWV48MEHcd999+Hwww/HxRdf3OE3Dz74IL788kt8+eWXmD59ejJgH5DY2//kk0/it7/9LSZNmoRbb70V++67L9auXYu///3vWLt2LaZNm4YTTzzRV70zFS/qu4yy57fM1NVXXaAq4LrV2yutrUB+vrpO022PfxDKiM6EqfinprNCZtHKLa3qSZ5Z8af2N275Wf0dJDKKv8y98usCGqXiL4wiv0p4FIs57e3yir+KBY4gFH+Vrv5ueFkcd3L1l9mmEpTi75QndXFLpl5OefEef3vcXP3t/h0k1L5Dlau/V7EuDFQq/pk+n/Rl+L/11lv4y1/+knSPD4oZM2Zgjz32wE033YRx48ahtbUVw4YNw2233Ya//OUvnTwKjjnmGDz55JMYMWIEdtlll075HXzwwVi2bBmuvfZanHvuuaisrER5eTlGjRqFF198Eb/73e8CvZ5sQlWjl11s0K3BtrfD9axmneqrApXPQEbxzwbCer+pRpGM8eRF8fcL1fD3YlRH8RxUGQF+jb8o9/irCu6XWuewFH8xbZFR/J0URzdSn9V//gM88QQweTKtfCdUGBSUfFKNdQpULyW38oNS/O0WJYDE0alBuPo79c1RGv7id3Z5CaIa553qpqviD2x7x1Qs9mWD4i/yytT5pGfD//PPP8dhhx2G4uJiHHjggXjnnXew9957J4/MW7duHVatWoX8/HwccMABvis6YcIETJgwgZR29OjRqKqqckwzbNgwzJ0713e9so2oFH8BpUyRp06GdFub+wDoZTVVZ1RfC/V56vTcg8KvsWOVnxXUCZfMxExW8bf7jIq5P3AzGmRd/VW/42vWAIMGdf7cbLSpVPxV7PGPqs8KIuK5IOg+ROzxpyqslMUySpnm97+6GtiyxXt+ApWu/pR0KhV/mbYcpuIvPquuVu/q79b3qjb8Vbj62+UfJlRX/zA9nsJW/L0QleLv1zvK6u9MwfMe/2uvvRZ77rknfvjhB7z55psoLi7G448/jsWLF2Px4sVYuXIlPvjgA/Tp0wdTp05VWWdGE2SMcCtkDH8ZV3+3cqOAqvjrVm+/qOw0qc89EzvqVIKI6u9HyZdR/AF31UmlW6f4PdVokO3TVD6Hc86x/pyi+Hsx4oMw/L3mJfs7YQyrbvNhKf5R7PEXRtjq1erculV55FDTeXE1prj6y9RDFW6Kf01NMItbuir+dtepekzwgpurv66GPxCt4R9muWY7wQ9ReXGEhWfD/80338Rll13mGPl+zz33xM0334zbbrvNazGMhsg2BtWTMkp+uhmA2ar4q1p1tfq3VXm6PfegCGKPvxVRKP6pv1dl+MuWa0VqPVS3V7tnmrr4aYWXyZ1fw1+lB4TV83F69sKQDWsRTCVR7PE3L9Ko7j9UKf5u+Xg5Lcbu/ZAJSCq+D1vxb2mhjWuyir9Tm4pa8XfKy5wuinHeaVFCV1d/segNqG3zVKJQ/K3+LZuXjp7DqvBs+FdVVWGnnXballFODpqamjql22OPPWyPzmPSD1l3migUfx0bLEXxBzLP8PdD6iDFiv82wnJv9qP4O5XjZKwFYVzLGP5RKv7CeHfDqkwvRzapNvxV5+WUn9nVP4xFMJXIGv4AXQ21w6xwi3umSvH3m09Uir+sl5Jq3BT/5mb1Xi1u3lZRKv7id1aoWmD0im6u/tSyDIMVf695ZdJ83Ixnw793795oaGhI/rtr165Yvnx5p3QrV67skI7JPpwGGS+GPwXdGixV8c8kVChUZqiKfzYQlrFDVVpkJtFuhr9Vffwq/uZy/RCV4k+Z9PpR/P0QtOLvlD4IV3+Rd5DIBiZ0ajPU9zo1ToTKqP5hKf5e2jD1vkUxdrgp/k1NwSj+TvmIvPr2BT7/nJ6vVV6xGFBYKFc3p/vh9lmQUF39w0JmkSbb9vhb/dtrXpk2Lwd8GP5Dhw7F008/nfz3brvthpkzZ2Lt2rXJz9asWYMLLrgAAwcO9FdLRhtk1HeRJog6uJWpm/Lb1sZ7/GVJnZjKHPmU6US1x99p8iN7NBa1Hqpc/Sl7/GU8isyfqcKP4h/FHn+V1+5F8U/XPf5e6m5XL2rsCrPhL1z9dekrgwzuZ3ePVcan8Iqb4h+2q7/ZmNywIRFc0CuiPf/hD8ARR/irG3UBOkjc6qar4W9W/KNw9Rd1CANVin9UzzQsPBv+RxxxBK666ipcfPHFAIBTTjkFy5cvx4477ojdd98du+++O4YPH44vv/wSf/zjH5VVmNEHauerWvGnDoC6TGqAjsc32ZEphn9b27ZJrR/Y1d8e1Xt07aAaujITcpEntV9Q5UpMaV+yi5lhKf525ZsR9Q7b8A/S1d/p/qZzVH9ZbwWnNkPd966z4k99d1WOkToo/m4Kd3Oz3DtOfQ5Oi2mq3n3xrHJz6V4afj3PgsauzKgM/zvuAFpb3dOx4i9PFFs3wsLzcX7HH388Vq1ahdyfrZmjjz4aZ599Nu688058+umnyXSHH344ZsyY4b+mjBbIDrxuyp5qw99crk4NNpsU/+ZmoKhInat/QQGw667p6ekRFEGonH4VfxlXfxmPAL9twnxt5sHcS75Bu5xSFX8rvBjxfieE1PeDmleqgUBZIFLt/RKW4i/bXzm1UUp0evPinMhLxX1T6ervhtW1+ikzasXfbgFXfEbd429eOPGzuJn6Tvhtz6r62FSiWqSxInVsCZPlyxPvSH6+c7r2drWLfbKko+Iv8snE+aRnw3/77bfH3Xff3eGzOXPm4E9/+hOWLl2KeDyOUaNG4aCDDvJdSUZPVK9CqyhTVxedbAruZ56cqTD8DzsMmD8fOO005zKBzLh/FHRT/GUMQPF+OE0+zahw9Tfn61Q3WVf/KBR/UQ+7z2TuVffuibPcdVD8Zd24zX296ragm+IP+Ff8U41mnSa01Lp4cfV3KjPItkwhCsXfzfBPTesVL4Y/dQFafBYmTvctKsUfcO/7DCORJjeXFX+ZvHS0I1Th2fC3Y6+99sJee+2lOltGI2RW1aJS/MXvdCGbgvvJGOFVVQnjw2pRxDygybhgZ8p9dCIIldNpUmP1txlZxT/s4H5CyaIo/tT3TEXdUqEo/ipd/ZcvBy66iJ7eqkyVir+Vq7+b4h+E90vQyCr+Tkq3lTFsdQ2prv46Kv5u+aj0iqN6SgSJKsNfpu27zcmiVPxlPM+iGOednpWuhj+wbatpVHOjdFP8zXlk4nxSkdMUsH79enzwwQf44IMPsH79elXZMprhZVXNbeImA9UA1M1FJ9sUf+ozuP124IsvrL+TMfwz3TUrlbDc9pwmOqmfyRiAbpPP1LR+n6n5/XBT/Cn5UNPL4kfx9+Lq361bol9Sqfh7xS4vtwUiv+8H9R1XiUrF32lRwEyqZ4Cqa1TZPinpgnL111Xxp7r6yywG26VL3ePv5554DcRohQ6Gv8yidxhQF3uE4h+Wl2AqUc1pVYwJmTAft8J3F3rnnXdi2LBh2H777bHffvthv/32w/bbb49hw4bhzjvvVFFHRlNkVFg/yCj+ujbYbFL8AfpqqVMwIS+KfzYZ/mGonNQJl8zkR6S1m4SonuRZqZtO3g1u/Yvuir/s5M7P/VX5rOwUf6f0bmVOmSJfD10Vf7u01L3qQSn+KqAuWgXp6k8pX/X9UqX4i7z8lCnKjVLxF79zQ6dFGvFdVHNOiqu/EJ4yWfFPfW/9Gv6s+FvQ1taGI488ElOnTsU333wDwzA6/PfNN99g6tSpmDhxItr9RCxitMJLZ+5X8Zcx/CnlRkG2Kf4A/dmqMvypZWYCQaze+1HyZSbRIu1119nXRaUSl5qX6vxUEvYef0C9se4VO8Pf7T1yUjorK73XJUhUKv4yUf3N9zcIxd9rnjLvfVCu/lEZk1YYRiKorYyrv8wYSTX8/eDlWVEXlqNa4Hfqd8N+f2QWerNhj7+5LBVlRrmYEzSeDf9bbrkF//rXv7DXXnvhgQcewLJly/Djjz9i3bp1+OSTT3D//fdjzz33xL/+9S/ccsstKuvMaILbarVIY4fKgSE1T92U32xU/CnPQJXhT1FzM4moFH/xmVs6t3afkwP89JP995TPqMRiie0k557r3t/IvGcq6paKH8Xf69F8qg3/sBYRzH293VnobW3y9Qhj7BDGuozib7fAQfWUMBu6KhV/kZff98j8f6d0UUb1D8IQsHumhYV0V3+A7urv1jdHqfjLeJSFPc67jZFRGf6UNhOlq7+oQ9hl+FX8VeSjK56D+z344IM4+uij8eSTTyInpSfu168fRo4ciVNOOQXHHnssHnjgAVxwwQW+K8tED0V9T+2k/TYcL4q/bit12aj4p/5NSW+GXf3tSXfF323yrlrdeffdRPR6t7pRFxat6qkCqnOcroq/akPBrW5ObT4e97aQEkYf7GWB2qlelDoHtcffXIegFX/Vrv46KP52bTkKxV/lHn+vhj81XRSGv9O4obvirzogMJV0VPx1FRBV4XntdPXq1bj44os7Gf0dMs/JwYwZM7BmzRqvxTBpSKqhTkknkx91VV6nBsuKvzWqFf9M7ahTCevschnFX2YS7dYvpKb1q/jX1m772++kIMiJTNhR/Z3y8/p71Yq/0wKSKN/unfS6OKaj4k/xsKOUCeir+FPSqWp/XhR/1Tg908JCoKWFPpaqCO6n6p0QeQWl+EclkDi1P10Nf8PIjqj+qhX/KBZzwsKz4d+lSxf06tXLNV2vXr3QtWtXr8UwGiPjlmWFyoHBnCclXdhko+JPfQdUK/7ZgJ17sx/8TLhklDhKu1c5yUs1/EUd7NJS+he3z7xi90xTP7dTuL3WR5XB5lchTNURKAvHdgYPVfFPJYw+RDa4H+DfDTroPf5+FiNljvNT5eoPRG9MOi3iCVf/MBX/1PE4bMVf/M4tL50U/6iNRIrhL/b4Z3pUf1WKvzkPnewIVXjuQg866CAsXbrUNd3SpUtxyCGHdPistrYWp556qteimQihdOapg7PfhiOr+It0OpFNir+Mm5RKw9+cZ6YT1sRHRvGnqmdufYjqSV7qIgml/5Kpm0qiUvxVq/ResDuP3qluop+x2+PvNa5w0G1LjJEyir/MHn+7PFLHUZXX6WcxUsZrQdX7FvQint96FBQk/lZ9nJ/Ohr/fxa0gcbqWKAx/mf4+Sld/ID0Vf0A/O0IVng3/mTNn4vLLL8fLL79sm2bBggW46aabcF1K+ObGxkY8/PDDXotmNMGukzYPzjITfD9lpuaZjoq/ykl01FBXS1UZ/rp6egSF6j3+Mi6WfjwDRFon1S7ICTlF8afmIQha8bdaNHS6R1Eb/mEtIri1+XjcWxvRWfG3wuq+WaVNTada8ffzHsko/ioNfx0Uf7u2XFi4LY3TvZ0+HVi4UE1wP97j74xTvxuV4c+Kf+ey/JZpfnczcT7pObjfzTffjF69euF3v/sdBg4ciOHDh6OiogIAsGHDBqxYsQLfffcdDjvsMPz973/v8NvGxkZ/tWYig6K+UycYMkpF6t5Eal11gaL4A5lh+MsMhDKGvxs6LvgEgYy6o6IsyuRY1gB0e56qFX9q2dQFJkpeXrBSqH/6Cejb171M0V5kJ3cqDX/VhoKbOunU5r26+ou8g8SL4i+jhjrlAahV/FUa/m64LRrKooOK7Mfwb2sD7roLKCvztmjm9rmuin8U47xb3XQ2/NvbWfGXJYpnGhaeDf+5c+cm/16zZo1tAL+FCxdafh7L1DvKdJpgqM7PrUHr2GCpin+mIGOEuxn+Mnno9tyDwDDUr977dbGUVfzdvk+tmx9UqnoqFW4rrJ7pli1A9+7uZfpR/L0ShuLv1fAXE15ZwlL8ZQx/QE0b1TWqP/XdDdLVPyrF34p4HMjPT/zt9J7ceGMifklpKf3+uy2mqVT8zYKNzO+sPtPBO8Ppu6jmHpRnLhT/KOaYUSn+fq7V/NtMmpcLPBv+AHDrrbd6CtxXXV2N8847z0/RTEREofiboSpyTnWLgmxU/FP/tkurwvAHMts1y0zYg7hXxd8OimoXlOLv9o5QFxat/laBlaGaer+cnoFXVcePwabqSDQ7xd+JWEx9cD9RlyBxW7SwSq/rHv+wFX+Vhr/solUQ74XdMxXzBaf3RAQtlbn/Moa/H8z3V8bDgFp+FOO8TnNKGcU/CFd/2TE/aFQtWIm8dBQQVeHL8J88eXLSvV+GDRs24Nxzz/VTNKMBTsY1ZaXXz4SFgtPkPmyyVfF3g2L4y5abSffRirAVf+pn1Ek0RfEPUlV3U24oC4tun3nFLkgd5X54XRDyq9QGaYi5GSkijd1903mPvxfF3wov46j4twpUGP4yY3qmRfW361PEfIGyQCQTvM3pOsPe409V8q3ShT3OuwldYb8/VMNfpFHp6m9u85S0YaGyf8tkIclzF7p48WL06NHD02979OiBxYsXey2a0RzVEwxZw9+pE2bFP3jcvC5S06pQ/GXKTHf8KLteyqJOjqnp3CbvflQgar1UGbphKf7UybGX90Kl4R/mIoKbak5V/KNQ8bwo/lQPO8D6Pgal+JvL9Kv4u/0+6qj+qtu70zMV8wWnBSLzZzJtn6r4+3k/vBr+lHc8KsPf6buoDH/KHEsY/qrEAtn7n46Kv8gnE+eTng3/0aNHI49wMHl9fT2uvPLKDp/l5+dj9OjRXotmIoRihEcd1d8tHSv+wWJ+rtRByQovrv6Z2lGbCcJtT0ZN9OMZ4Fae1feqDX8/in9qfoDa941i+Nuhg+HvBy+KvwrDP5VMVfxT80hXxV/l89FB8beCqvibjT/q/XdrU6rei9S5olsa82du6XTzzhDfRwE1uF9envo2T00bFqr6t6i8OMJCodOUNXV1dbjiiiuCLobRCKriLzOhlVX87cplxT8cZDpN1Yp/piPUINXvsh+lRWZi5tburRR/P9ipn3ZpKQuLTnn7gWr42z0Dr4a/H1QthIj6W33uVr7d/dB1j7/scX5u76Ts4pzKBVKRlx8vJJnj/FS5+lPvW9DYPStZw1/G1d/N8K+vt68bFYoA4EfJ1+lZRan4U139VYoFma74m/PIRCHJ1x5/AHj22WexYMECrFu3Di0tLZ2+t/qMSV+oRjhF8Zcp05wvVfG3gxX/YJFxk3JSGLwcS2YuP1MRhn8Uir+KdkWZvAc1Ifc7QQvaWKDs8berv5+gj6qUWj/31sqNm7KA5BTcT9c9/qINhKn4Wy3Iq3h3zWO91z6J+rtMjOpvZ0xSgvuZ03vx+khF7PF/8slt+XrFXKdPPgF+8Qvg++/t0zjVzc8CgSpkvNTCgGr4G0a0hn+6Kv6p+WUSng3/9vZ2HHXUUViwYAEMw0AsFoNhc6f56L7MxG0V2u7f5s9lByu/7mys+IcD1QinGP6yin82GP5B7PF3UpEp6Sific9lPAL8PlMZF1EZjyJKfjLYKdQyiq6XyZ1fF22VhpiV4e/2HtkZnLor/jKGv+xE1M7LhTKOxuNAUxNQUkIry5y3XZ5nnQXcfbfz783/dytHFVEr/k7zFCEUUN4Tt/tPKVPkYxhAa+u2f3vF/Kw2bgQaG53TONVNF8PfTfGXaTN+kWkzQQT3k0G3RRo3KN4q6Yxnp6nbb78dr732Gq666iosWrQIhYWFePTRR7F48WIsXrwYjz76KH7/+9+jqKgIT4rlQybtoQ68FMXfi1IhU7abN0KYUFTOTOlgVCv+MivL2WD4B7HH3w6vir8fdcRKiVNl+NuVQSXIxUS7tiCjikW9xz/sRQSnNk/d4y/jZaAKN28FK6hGkVuZ5n9b5ffYY8Auu9DqZK6X07NPVXpTkTnOT6WrvxmdFt2pir/Z+FMZ3E927LXLy+2eyixqmonqWTnNKXNzt22RCLMulLYjPE5VH+dHIaxnRRUcqXn59Q7UGc+K/2OPPYaZM2di+vTpAIDc3Fzst99+2GGHHZJpTjjhBJx99tlYunQpJk2a5L+2jFb4Vfy94rbyDein+FNVnUzpaKidpkrDX5Sb6YhJocp3Wcao8NuuKO+5SlU9NS+3xQuKsqaqbql5+3kG2Xycn919yzTF3+47ahulKP51dcDate51ElDyFAqyHdT3SLWrfzoo/pQFbXFfVCn+ot2oMvydyqMuHOqg+FsRtdBADe6n2tVfhrDukYxASM0r6ucbBJ7XTr/66iscccQRrunOPPNMvPzyy16LYdIQqkLvVfF3a4iUyX3YZJJR74Z5tdTPpFZmkDLnkYkdtRlh+Ous+Ivf2uUZ5nF+lDKAhLFD7V/c8vJC6hna5vzTRfEXn6nKyyk/N9Vc9z3+sh5KTs9dpeIfi8nfNyfF3zASW92coLoiqx5Hg1rEkynf7p4FdZyf0zsnnnuUhj8lnd+6ecGvx41qRF0o9yEIL8FMV/yBzJ2z+3Ka6tq1a/LvoqIirF+/vlOavLw8rFu3zk8xjEZQjfDUCYZbXirKTC1LJ8Uf8Ob2lo7IGOFOij81D4HsRDpd8RPEzQ6/ir9Vfna4Gf5Wv/dzrVTFf8AAYNMm57ysFiVU4Vfx92P4e0VmYUg2L7f8zMaz1YTW63F+Iu8g8XKcH2C/MKJyHPVSJyfD325BK7VuFBd+ajoKXuYHqt8Lv4q/2fiTUfzt0FXxl/EMCBLKfDcsRF2iCu4nQxSKf9DvbjrjuQsdOHAgvvzyy+S/t9tuO7zwwgud0s2fPx/FxcVei2E0hrIKrbpDVOHOFmUn7UYmGP6Au9eFwMnwl1nRNq/QZmJHbea//00ESopK8afeX68LfqoneVaGqVPd3MrSVfGPKqp/kIo/1QPD7r55Mfx1VPyd+kLqggn1WXldjLD7nZvaD9AV/yBd/XUae6mGvzm9yj3+XhfMUvPyInb4XbwICidvhCiQMfyzbY+/ijIzWUjyvMd/1KhRmDFjBnbbbTf07dsXhxxyCG655RbU19dj/PjxAICXX34ZDz30EA499FBlFWaihaouBKn4U8rWsZOmDIKZgIwRTjG0qFAXG9KdCRMSk7zjjlOXp4zSQs3P6/dBquqUst0m2NS8ZIlS8VdlrKtW/CnpnZRmrxNdHRV/v27Q1HFUVlEXHhd2715bG82gpyr+KttcUIt4MuXbvbuUqP5eFX83w19FcD/zIk0mKP4yXnFhQrkP2ab4+y3TPIfNRDwr/scccww+/vhj/OpXvwIAXHDBBejWrRvuvvtuHH300Tj66KNx//33IycnB5dffrmyCjP64FfxlzH8nf5t951Oij+13EzpaKhuUqoUf6vfZTJ+jBq/+L2/lHYf1OTeLV+KeqKr4m8YNMXfi6puh8pJr1i4MONmpLi5QWea4u+UF7VMt3xlDf/c3MR9FgsAqVAUf+qildU74hUvi3hheTDKKv4ynhBOeYk+SLWrPzWN38WtoNFpTimj+GfbHn+/ZZrft0ycT3ruQn/zm99g/fr1eO+99wAAffv2xdtvv40JEyagtLQUxcXFGDNmDN544w2MGjVKWYWZ6KGsqqlaeUvNz++qNiv+wSO7WqrC8JfxMsgUVA7i1AmXrCJr97lMcD+/WNXfTfGSzU8FfhV/6uTOyuBRqfh7zcuLG3cs5hzcLx32+FPbsYxR5JbOKb3sMzAb/kEr/ipd/YHojUmneQrlOD8zMsH97BB9UFiGf2p90lXxjwKq4S/SsOIvn1emCHGpeHb1j8Vi6NOnT4fPdtppJ7z00ku+K8XoC2VVLQjFnzJhMadVObFRgW6ro0FDnaxQDC2Ze5dNhr/q6/RjdKbi1u5lg/v5wUrhtkPWaLb7zAtm91qnOjv1u2EH91Pxe4HddbstDNoZz1TF34vy65egj/OjplOt+FvlR30GYbv6+1nUDBqq4m9eHPcrioh8gjD83dqw22epRPGs/C68qUZG8Vd9nJ+5fDfSVfG3+jtTUOQ0xWQj1NVZp07fSwNNZ8XfbQKXCci4STkZ/jL3Q9bLIBPQ7Tg/q9/aoWJB0AuU91LGyFKt+FuVTzXYvBr+dvl5/Z0q7wHA3UhxMop03uPvVncrZAwPq7RBKf55eQlVX4XiTxkvoozqrxqneYq4Tuoef5XB/VTs8Te/b07tMF0Uf1EPK6Kcd1DaDCv+clAExHTGs+Lf1taGu+66C4ZhoLCwEGeeeWaH76+55hrsvPPO+MMf/uC7kow+UCflVIVetkxKh+82uY+qMcu6vaUrMka4asVfJn26o/I6qRMuarl+DHvVzy91wuhUdl4evX8RBKH4p+ZPWWzwGtXfzyRa5UKI7IIPxfD3usc/6D5EteJP/Yzy7so+Q4qrvxtUgz5IV/+olEm3Z0VR/MV98av4R7HHP7Vu1Lx0WqSJAqriL9KoPgI4kxV/cx6ZOJ/0vHb67LPP4q9//Sv+7//+Dw888ECn75ctW4ZJkybhxBNPRDyqKFRMoFA7Qr+KP1WpMJflNIBEAcUYzqQOhqpmURR/mfuSTa7+uh/nR83TiqAm9+Y6WCH21dpBnah6wUnxp/4+6qj+fpBV/N3SyEyMU/MLGpWKv9t3VulUKv7mvehhKP5Bvm86GZMUw99MJu/xt/pNFM/KCpXvpAzU/o0Vf3nM8/VMnE96Nvyfe+459OvXD++88w7ef//9Tt8/9dRTWLBgARYuXIgHH3zQVyUZfaCq75QJhtcO0+/AEFUnTVm0yCTFP/Vvu7QqFP9M76itiELxl1Vk7T6PMrifH8U/SGOBqvjblamD4R/mIoJI7xTcD/Cm+uuq+NstYlEX0CmfednjL+rmVfGXOc4vyqj+KpAVOyjviUzbd8pLfO41KGZqXm7zQOo76WccUoWOc0rz/53SZWNUfxWLVpkwH7fCcxf6/vvv47rrrsN+++1nm2bChAm49tprce+993othklDvCpWTvlRFhtS0+pmAGZqJ2KFTKfpNgkJosx0Juz324uh67bgF2ZwPxlkj8MLS/GnlOnH1d8rUSr+5smZXXA/ILMUf4pRJNI6pXO6RlnD2hyEzqviTzVcKa7+Mu+/bN9mGMDWrfT8KeX7UfzNfYaKRdmgXP2d8qEsHKpcYPQDdaEiDGT6t/b2RDvNFsXfbx+usx2hAs+G/7p167D//vu7phs7diy+/vprr8UwGhOW4u9lJU9mhTkMqKpOJhiuMuq7asWfmj6dyc9Xn6fbxNKcjgp1smf1O5XtwMpotqubrKu/U16yqFD8vao6KlV6lXlRDf9sUfztvqO+H5R0sm1PtBk7w51y/2UU/+ZmYNEi53RePCCo192lCy0dBdWGvyrFX3VwP+rivow7fdjjvEzdwiQKV3+RL4Wo7o3f9yOThSTPhn9hYSFaW1td07W1taFdhd8QowWUTo6q+Mt0mDIreW5KSlRuWZnaiVhBVbOcDH+qK5tsmelOEIa/E0Eo/m7fqyTV8HcqW9bVXyfFn6qapuKnzai8HxRPECv8Gv4UtVw14lplFX+7vKiGLmUclfXUMrv6WxkWMoo/hU2bgKefdq+XG7oYk26GPzWqvyrDPydHveJPfd9UXENQ6DinNP/fiSD2+Mvc/zCeVapAqCqvTJxPejb8R4wYgblz57qmmzt3LkaMGOG1GEZjqKvVfkkdoN0m5k7pomzElAWTTFgckHGTUq34s+HvjSAUfzso73lQir+5DlbkEc65CcpY8Kv46xDV365uFKzcuCmKv91ih/hMV8VfZqHS3L9ZfSdr+KfmaybKPf7Ue+H0TL0ICql/U9IHCVXxN6dXEdxPPIeoovo7feZlgUA1Os0pU70znNKFHdxPpREuA9VOcEO8b5kwH7fC83F+J510EqZOnYrGxkZMnToVO+64Y4fvV65cidtvvx133nkn5syZ47uijB6kDkiUFVC/in9qJ+J3cLOa/ATdwKllZEJH4zRJtUrrpvhTyeSO2kxFhZrgSxT8GHZuqpLs71SgQvFPzU8VrPjL/d48ObOa0IrPdNzjL+vqD9AW2p1QrfiLdCr3+FMQhgylbm75UD4LEqp4otrwt0sXheFPMehV9jNeUdFmVCJj+Kve428u34ooPGlULzZQxat0xLPif8YZZ2D06NGYM2cOhg8fjm7dumHHHXfEjjvuiG7dumHnnXfGnXfeiTFjxuCMM85QWWdGc6gN0MvKPHUgkVEww+6U/KRJF7yoWV6/zzb22gv48Ue1eQbhihnk9zJYTRjtrsFNMVepcKeSjlH9xe9VYHWdlLq59fU6Kv5u45RMfezuGyUdK/7Wf7vR3ExP61a+nfeOeA7U+YxMO3Yy/M0LaUEb/oD3Z6DTIk2UUIz5KI/zS1fFPzW/TMKz4Z+Xl4eXX34ZZ511FvLy8lBbW4tVq1Zh1apVqK2tRV5eHs466ywsWLAAuW4Rk5i0QaXi76VMmfwodQvTZSzbFP/Uv+3Suin+2bZo4gY1EJYT1AmMH4Xbq6ePag8cilEkoAxVQSlPUSr+XlG5kCpr+LsZz16D++ms+FshszBEWUCX7VvMBqpVue3t7tco06e5Kf4y8wOvi3g1NbR0XpFRwgWqjvMzK/5+oCr+lLpR70fQ+PG4CaoulDlWlMH9ZNN6RaXib36mmTi39OzqDwBFRUW48847MXPmTCxevBjfffcdAGDgwIEYO3YsKioqlFSS0RfKKrTTb2UbKFUBcpokmfEyUfaCl0EwnXF6BmacDH9zGmqZ2YAqw9+LKiZ+K/ub1N+H6eovY6jLuvrbfeYFO9d0qoHidY+/XX7U3wWp+FPSuxlFFFdYymcq8ar4U5V8pzKt8jUj+zxVKP7URSsxXqhQ/P0satbWJrZc+cWvoevF2HFKJ/oQ8czCVvztytTB8Kd6xYWFTP/Gir+3vKJaYAoaX4a/oKKiAscdd5yKrJg0gtoRelX+rNK5NUTzBImq+KtcBXWrlxuZYLzKTGopij+1zGxBheEPyE8sU3/jFUq7D6oduK3ic1R/OfyoppS8KIq/3TVns+Lvlk6lEeOm+FP2+FP7NFGGij3+Vumoz6KujpaOUr4qQ5f6LjmlU234uz1TP4p/2FDHyLCgGv5Aog8sKFBbV5l+SxfFv7oamD0bmDWLllemGv4Kpo9MNkExwlW63FiVKfM7t890V/zTvdNRYfhn06IJhXRQ/J3SRan4W/3bjKyrP6Be8Xcz/O3KNAxvqo5Kw99PG/TqPWC3eOvV8Bd1CRLRBmQVfz9jRNCKv91YKqP4U3Az/L3eD79zCy9EYfiL/K2IWvGXGZOimBtRnlXYUOZYUSr+YeImODY1AVVV7vmYn2m6z8GtYMOfUU5qR+hX8bf6nRNuanMUin9quVbosKqtArPiT03v5/tsI4g9/qoVf7+Kvsp336pN2b1TlOB+dnn7xa/ir8txfl7xqvi7vbu6Kv6yrqR+VfowFH+rsVRG8acuggTh6m/3GfW3KqEa/ubPnO5fqhjjlC43V31UfydvFTPUhRC/dfOCyjajAlnFP6o9/lEp/pS24ITMHDbdYMOfkYKi+IvvzP93y0tFmSKtU7nUgUY1XspIVzcjGTcpiuIvU2Y2YHXeuRdk2575MwpeF/xUKyipE2g/in+Q6k6UUf294kWZdMrLakHLq+Hv9Tg/pzJV4VXxt/vOq+Gv4jpV7vGn4Kb4i7pQkF1oV/1e+FX8qYY/9TpVHufnVpZdGlUeEKqhLo6HBdXwz0bFnzr/t8OcLhPnlmz4M76gdIR+G07qSp4bMoq/Slf/HXe0/44yOYvaZUwl1Imlk+FvTiNTZjbg91plJlKqJ1wyk/yg8Kr4A8EpT34VfyvDv7Kyczqr3+ug+FstaLktEIk0duOQWb2korPib/fsvC7iqUBlVP+wFX/Vi5qy+DX8KXnJpBPPQYWrvxnq4r5qzzPVUL0RwqwLxfDPNsXf6t/iM2ofw4o/w/yMlWpghUrFPzUfiuJvl85qAFHVGX7zjfP3sp1IJij+lLRukwK/ilim4ueaZSbHZry0V9myo1b8qf1Lat5+kVH87X6fWv8+fTqno062Kfgxnih5udUtFnMO7pefr+cefy/B/QD/hgdF8Ze9dhWKf1TH+ZmRacu6GP5Uxd/pd2ZU7/GnQPVG0FXxF9+Fjcz8KB5PBK4NQ/GPUsCi2h0yeWXi3JINf8Yzfl2fvKzMy6xqU77TLbhfUGpi2FDVLFb8vePXRTs1L+qkxu/k0k3xV/3Oy9wnShTqqBV/p9+b+7MwFBmqN4KXvKjp7RZvDSMx2dVR8TfX3e/CptdFPL/pBCqi+qe+u25p3Qx/rwuUFFU9DKJU/M2Gf9DIKP5Rz438uo8HRRSu/iJfyue6Kf4yeaWr+OYGG/6MLyjGgsqG49fVP0jF3wkv9yBdDVlVk9pM7HB1IirFX8X3XnFbxXc7zs+cR+rffrFT/Knl6GD4+0FW8XfrZ/yoXDoq/k6Gh0rX9iAMfzdkFX+3xZwg+zar33pFpeIv0zc7tSlVwf0oyLyTUSv+oh5Wn+ns6i/ShLnHX1fFnyI0iXTpOv+mELjhX19fjxkzZgRdDBMSqeq7XRqBCpeg1HRu6odbuqgGEFnFP1NXG82oUvwz/T6pRuZdU620UJ53urj6233mBb+Kf6qrf1ieMqr6LLvrTM2vvR1Ytcq9TGH466r4ewnuZ3d/vBr+TmVRobj6q2zzFMWfig4qsipDl+ox4XSfg9rjT62PCo/OoJAZI8OA2s+LhTJW/OXykhGv0o3ADf+6ujrMnj076GKYCKAOWm6KjRupiw0URY7qlqWTqz8Q/UREBTKdppPhH7YBk014NQJUqGJRTK6pdZCN6h+G4i/zrMyTO5n77MdYV4Wd4p/KunXAzTdvS2/XhxsGzfCXeT9UIYL7yYw/Mm7QVnhRkSmojOpPXQQJIrhfJij+VKPZLp3KPf6pZVpBNRJ1EEWo1xAWog1QXf15jz9d8Rd5ZOqcMo+S6NRTT/VcQGNjo+ffMvoha8CqbjhuHb5ZGaEq/rq4+vsxsnSC8gzMaZ3SyCpiDI2gVTG3iUHqv1MXCnVV/FPzA9Qr/qn9kYwhQ3H1tzKuVan0fifklLrF49v6DfE8rfpwr8H9dFb87b6zu29e2pXs8xMu+naGuzmq/+zZwAknAAMGdC5T5r4H4epv91kUiPdDQDH8dQvuR4Wy+GL1fkRh+PtZeFONzHGlYe7xB6JfpAH8tW9zOl36BJWQDP+5c+fafheLxWDY3BnxXSxdLRjGEapioFrxp0KpW5idkqzin85uRuI6/Cr+Ms+buxk5qIqS13eSskBnVUaQ77zbe0lR/K3yU4HqqP5O7cqMSsPfDzLvVarhb/fu5ufru8df1pVUxiiiGP6qxhfzHn+re21W/KdPB8aMsTb8w1b8gfAVf2rbE+/HokXO6Sh5yaQzjEQfQh2/qVD7IupnOhmTQLSGP2WOJXNcJgWZhf2wMJfrV/E3jy2ZCMnwB4Bbb70VXbt27fDZ4sWL8dRTT2HSpEnYeeed0bdvXwDATz/9hC+//BJPP/009ttvP0yZMkVtrZnIoE7SKYa6VwWCMgA65Wv+TidX/3Q18lMR10HtNFnxDx+vbc/LhNotT6tnF5Ti75Y3ZY9/0Iq/bH9nTqdDcL+gFf/UyZuT8URx9Y/CqBDPSrZ/s3p37dpPasA8r23eDdk9/nbXoErxl2kvYavI1MUXke6QQ9zTCVTu8RfvTRjjKnUxyusijSqcjMkoEIZ/WxuwdCkwerR1OmH4Z4Pir1JAUL34pRNkw3/y5MmoqKhI/vvdd9/FnDlzsHr1avSxOiwYwPXXX48JEyZ0WjBgMgNqR6ii4ZgXEihKItUbwU6lUI3MKqMg3RV/Sv0pir9fRYzpjMy7pnpybP79mDHudfOLzIRR1tVfVT2rqoC990787VXx18Hw93M/VCv+Ogf3C0vxd0pHHSPdkN3j39pqnY/MIoiK4/y8LGrKti1KmU6Gvzmd2zxFxvC3SycMRNWGP3WuGITnmSpkxsgwEHXZsAH4y1+c70d7e+bv8acsBsso/iKfTIQU3O+VV15Bjx49Onx25ZVX4rrrrrM1+gGgb9++uOGGG3DzzTf7qyWjJZSOUJXiT8kvtWxKJ62T4m/3u3TDfK1+DH8gvOeTbcgYWWZUuMOaP+/ePfjna2WY2pUp6+rvlJcM5lA4Xg3/KKL6q5zkyRiwZsPfKbifrq7+XhV/quFhdU+CUvwpx/mZP29psS5TleIv6kIhasWfmo7ynqjom83HTIYFZeEwCu8Mu3pQPguTrVudvw9b8acu5gSBm50gM+/JesX/sMMO6/TZ+++/j5122sn1tzvttBM+/fRT+ZoxWkIZuKiKv9eJCFXxp+QVluIvynJCpXqmA9Rn6/f9EGmzgfffT/yngiAVf7cFP6dy7QxAVTjlFZXibyZsxV82rVPd/E7yKIa/ObifSGMX3I8Vf/t0qhR/N8M/9f5bKf6yfX0Qrv4qDGcvZfpRuCkqZyoUxT8so8erkRiV4m9F1Ap3XZ17WtWGv9v912HuSl2YsEO2f04nPB/n19zcjJUrV7qmW7FiBdoo57kwaQdl0FLVAZjz8zswRO0yRkXnujkhnj+l/hTDPwzlMl245pqEa59fvC66qZocm7+jLOypMiYpij+13irqllovq/xknhXlOD+KkUhFteJPTWc2+p3GIS+Gv0xdvGJWVmUUf6t7bWf4+zkdQoYBA4DPPvOv+Mt4d6k6zo/ymRm/77q4TnN+VMPfLj+3vFJxSif6EKv8g4KysKyDKCKzOB4GxcWJ/4ep+FPm9VEq/uYyrZAZY5zySXc8G/4jR47Eeeedh8rKSts0GzZswPnnn4+RI0d6LYbRjNQOmNIRqlD8ZRYSnCb3qZ/p5EpudT90qZsMTkadVVq3lWOZibHueDFCzLi5olORUWrDVvzdfi+LjPcAxdU/iAmoCsNfl6j+KvOyU67Ff06Gv86KvzAAdVT8ZcnJAXbd1dnwN+O0x5+CYXTO02teYSv+wtPDLS9quzJ/pjK4n1sfogpqXxTUuytLUAu/XujZE3j9dZrh397eccHJK9S5nQ4Gs92zos4nw/J6iQJycL9ULrjgAkyaNAlDhw7FxIkTsddee6F3794wDANVVVX43//+hxdeeAH19fV4+umnVdZZOR999BFGjRqF9vZ2LF68GGPGjIm6SmkBdRXajtTVbyoURc6p3NQBxGoVdOlS4Be/AAYPlq+fKnToPL0iJuQU/C4MmcvUnRNPBObP9/57lYY/NZ3qCZd58ksxUPxgZ6g7Kf5uqkgQi3NhKv5WZfu5BpULIdTrTDX8rZ6ZYei7x9/s6k+pn5Mh5tXwdytLFqri7+TqT52Uqwru57Ut+1vc2vZj6mIOVfDwq/iLxcOWFuCWW8Ix/KmeDVGLIjJ1C4vcXKC21j2d1YKTH9zm9VEv0sh4JDjlkQ5zSi94Nvz/8Ic/YNasWbj00kvx2GOP4bHHHuvwvWEYyMnJwaxZs3DUUUf5rujChQtx00034X//+x+am5ux00474dRTT8XZZ5+NHB9LWW1tbTj11FPR7leKyxJS1Xc/ir/qMs1lO60cm7FbJf/f/xKdZZiGvw6DmwrclLjUtCoU/3SBsh/PCVWGP0AbnP3ce4ri7Hdg/e9/gVGj5Bb63BR/N6PCLm8/uBn+lCHOj+HvFZVt087zw07xF+TkWCvA2az4U4L7Udt8PA5s2ZJQGJ2wG0tTn03Qwf38LFwEjcwzkJ0LyHgvuhn+hgH06qWufVPVYRWLF0Eh4xUXFn36AKtXO6cRC2Uq6kiZ1+syX/Mzn6F6NqQrvpw/LrroInzwwQc45ZRTsMMOO6CgoAAFBQXYYYcdcOqpp+LDDz/E3/72N9+VnD17NiZMmICioiIsWrQIH3/8McaPH4+pU6di4sSJvmIIzJ49G6tXr0a3bt181zMbcWtcMiuDlDLcOnxKg6Uo/lSXINWoVM+ixq/hLybHVBUoHfBbz6Bc/Z3wOjGzQ6Xiv99+gFOoGarRLKDs8Q96cc6PUms+skmmXv4UzG3/9jMhl1GuKYq/V8NflBEkssH9RBqr94B63+x+b1eWYOVK4PrrndOIvK2eQ1tbx37LTvGX6etVRPWPTvHf9m+q4U9ZpFFxnJ9YPBTlq2oHdoupVONMBxVZ1IPymSreecf5+wEDgLVrndOYDX8VIhzg3r6iflZOi6TUPoYVfwd23313PPDAAyrqYslbb72F6dOnY8SIEXj22WeRn58PIGGwb9myBffddx9mz56NSy65RDrvFStW4KqrrsKtt96K6667DtXV1Yprn9lQVTanQUbW+JBJT+mkndKF3VlR66Y7Ms9VpeKfDp20asNfVimT/Z0fhZuiCNgZdjK89x5gd8BMquEv6m9VRk5OdFH9zRMqr4Z/agAnmXaj0lj3A/U6zWU79eH5+foq/jKGPyCn+FsZ4dS2nJouHqcFCrS7FnGGuEhjpfg71ceKIIL7RaH4W9XDKh3lWalalDUb/mHgdSEkbGTanyoOPND5mZaWJv4vAv3Z0d6uvo6U8T1K/NTD/Ex1uR6VKAj3ECwzZ84EAEydOjVp9AvOP/98AMD111+PRvNByAQMw8Dpp5+OUaNG4cwzz1RS12zA3CAoxrWb4i9bJuV3bit15u+cVsnDOubPTNBqYpioUPxlFhDSAb/vlNnw96pmAnKLTF7eSZl271WZBBL3w63rT50w2uUtDH8nglJ8xHthVuzN+VMNGbPhb+fJRDXYZJQRt7wo2L0HToq/U5lC8ZfZuuH2uSq8RvWnGEUAfQHJ63MX9XcrE0go/sLwLyjQ5zg/QA/Fn5KOUqZfUQTo+FzDEB68LkZFpSJTx8gwufde4IAD7L8Xir/ob/xAEeB08M5QIehlsuLv2/BvamrCvHnzcNZZZ+F3v/sdfvrpJwDAU089hU2bNvnKu6qqCkuWLAHw/9l78zi5iqp9/OmePbMkmSSTAGFLeBMWRSCyCRIlwAsIIgICKor4oriyqWz6ArIoCiKKP/2KoqLoiyQBBdmXoMgOKsgSdjAhySSZPTOZre/vj5uarq6u5VTdut09k3o+n3wyfW/dqnNrPc85p+oCixYtKro/f/58zJ49Gz09Pbjzzjut8v7JT36Cp556Cr/4xS+QmaitWybYEHVby7xpEjEpg7IFpFJC/cvhgUgDtt4sU3vaRoVUMpL2KV7Zrqoyn26tQ7m8Yvx4S+LhVj1PyUv2TFWVfai/b4+/rHwb4m8K9bch/uyeqcxSe/xF0q8y3rL6MJFEGYFNG6Xw+Jv6EZVkydZCVZky8KH+NTX6Pf7UuvDl8bcdy0nnbyqBFfulT4+/TA4G0eOf1GtKAZUkVoJTJC3DbxKccgrQ1KRP42uPP/+uSfX6NEGd21Sgvud4RSLiv2zZMsyZMwcnn3wyfv7zn+OOO+5Af38/AOA73/kOttlmGyxdutQ5/6eeegq5XA41NTWYO3euNM2OO+4IAHjyySfJ+b799ts477zz8L//+7+YN2+es3ybI/jFkjJJ21gGdaDkJ6alLCA6j385iH+5LaU+YDNp6gwsvHI/UZC0PUWPvyvxt+lrvr1i1DnEB2QKtMnjb+tZ8yE/y6O62p34U0L9bQgbBT6Jv0xek8eftadqj78p1N/GMOQTvo2jIiiH+5ny1aWzqTffHn+Wpw6uJD7p3EZ5jjLvUj/7x8PH5/yiiPZJUAp8tkEl6EY2hrdSgmKc9R3qb+pDYtpKMtJQ51tbw+x4gvMe/5dffhlHHHEEBgYGsM8++2DOnDm4+eabx+7fcsstuPTSS3H88cfjiSeewO67725dxmuvvQYAmDFjhvLk/i222KIgLQWnnXYa5s6di69//evWMjEMDg5icHBw7HfPpm9q5HI55MoRI05ELpdDFEXOMkZRBrlcNLbvT7b/b3RUnk7E6GjhPfZMsczx4NOVWVh2YfrivPhyMhgZiaTpRkboodnx5JBV1isrU/WOLA9ZfVRwd5IiljeDKNK/b5xW/Y4sn1ix1+fF9wtTmfT3SDZW5Hkmk62qKgMgg1wuh6qqDIaH3foHP0ZjufL9r1Dewuvx2Cp+B9k11TiNP+8VvwcQYXS08B1ksqjaNJPRj5FY4WFlAVGUQxRlisoE4rplyrOqjdj8YqoPW8REJovq6uL6EMuMyy0uk32reXQ0vhcT3sI5SWx3IM6XzcU82FjS1Ucul9lUp9Gm8eLex2XvCRS3VSxrZpN80ZhiK8ofe5r1YySuI3rf9YW43iLlOlWcHmB9WNbu+TQMxesaK5Ndy2TkbSv2m3x9R0IaeR8U32V4OLMpEiVCTU0GQ0PF7REr2vJxWZguw9WZeoyKssnnLLuxzMpm86/bvJtDJpNfU/Q6VKFs8jGan9symeK5g5fdVB9xufEcyMaWrEwqCsvIbpK3MDPWr1k61fwhq4+0x2hcjlm24n7kR/+IYdYp43rQ99u4/sz6mBl5PVbV14rb1F6PddG9ituKov+rys8T/lL0M1+g1pcz8f/Od76DyZMn45FHHsGuu+4KALj11lvH7m+33Xb4xS9+gdHRUVxxxRX4v//7P+syGJlu0JxcMWnSJABAd3c3Kc/f/va3uOeee/D444+jutr9bMPvfOc7uPjii4uur127Fhs3bnTON23kcjl0d3eDfW7RFhs3TkZ7ezcmTQK6u2vR21uN9vb+gjQdHdXo769He3ufMg0A9PbWY3Q0Qnt7bEAZGpqC9vauonR9fY3o7BxEe/uINj9W9oYNdejuHkZvbxXa2ws3AK9dm8XAQBPa2+O+NTDQhHXrBtDeXugW6u1tRFfXMNrbFScRCYjH2yy0t7dL77N3U70jAPT0TEJ398hYmYODk9He3oPBwfFlcly/vhr9/XVYu3bDWH9RYXBwKnp6BqXt2dVVh1xuMnK5UbS3r9fWXV9fI7q6htDePqxNZ4OkY0WGwcGpaG/vdH5+aKgZQCPa29sxMtKCVat6nfrHunVZDA7mx0FXVw16e2vR3r6hIF089uJ6BYD166vQ3z8J7e29glyFdd7X14iOjvxzPHp6GjB5cgYHHFCHwcEc1q7twcaNEXd/Erq6RgrGnqpNM5mZ6OnpU84HQ0PA8PAUAPUAgI6ODmzc2IB16zagvr5wkVywYCqOOqoHV13VpOyznZ216OvLzz/r1mXR35+vR1esW1cFYAYymQjr13egvT3v0uzpaUAmkxubJ+P3Kq6P3t4GDA5m0NeXRXt7H9atywJoK5iThodlbdWAKCrMH4jntKGhKYgiKMfThg3N6OjoQzbbhSiKsH59dcH8aoPu7lr09RXO2Rs2NKGjY2NBfcRlNGJwMIP29i709NShpydbNNf39DRgdLQG3d3DRfcYhoaK66O3dxI6Owv7n2/09TWhs3MjenurMToKtLfrdQY27oaGqoraoquruN4GB1vQ3t5boODGbdU/ttZF0Uxs2NBfNJa7u+sBTBnrN/F83lCQbuNGWT+S11t//xSMjmbQ3t6JqqoZ6OwcQHt74XdN+/qaMDRUjY6OvoK2FjE0NAW5XA1GRjLKtVZc49lzYr2J6+369RkMDDQr+y4bC0A9Ojo6pXObCR0dEYaHG9De3oVsNqvUZ7q66rBhQ75P9/TUobe3uI8PDEwGEOvHg4MD6OgYkMolvv/wsHw+7e+fjCgChoaq0du7AYOD5r6pQmGZswCgqM3WrStcT9avL247AOjuLnz/vr565HJ53TEt8O/Q0VGFDRuK1z5xvfKlf8Qw65RRBAwO6sqcicHBYfT09GFoaFIi2Vg5Gzc2Y926DWhoKCaavb2ZTfNPvIb29zdh/fqN2nEtwkX34uu9p6cew8PFfXfduips3Khe3xl6ehrQ3R0b6WQ8olLR29trToQExP+BBx7A1VdfPUb6VfjCF76AE0880bUYr2hvb8eZZ56Js846CwsWLEiU13nnnYezzjpr7HdPTw+23nprzJgxAy0tLUlFTQ25XA6ZTEYbRaFDXV0GM2fWoaEBmDo13lvU1la4wai9HWhszKCtbRKmTJGnAeLrLS1AW1v8u7Y2gzb2g0NjI9Da2oi2NnWZDK2t8f0pU4CuLqCtrbng/vAwMGlSBm1t9ZtkyKC1dRLEYkXZTGBeF5n8/Lup3hEAmptjudnt+voMpk+vw9SpNBkqBa2tcZu1tTVuet86Zdqamgyammqk7Tl5MgBkUFNTbay7xkZg6tS4j+jS2SDpWJGhpiaZbE1NsXenra0NjY0ZTJ1aT+6jIhoa8uMgP64aC9LwYw8A+vvjftnWVmiMFeu8qSnfHiIaG4E5c4BvfQv41KfiPh63dYzm5lge/llZm3Z3x+S0qalJOR8MDsZzFsO0aa1oaMhg2rSGItmamzOYO3fapveT99kpU9i8EJc3OlpYj67YZONGbW0GU6e2FsjG5jNTfTQ2xqc7d3fHcy/zWPDphoZY++WvtbSw8Voo0+hoXHe5nHpea2iI22/KlNzYOInzt6+Plpa47fk5u6kpg6lTC+fnKVNiuUZGgJkz2zBlSnzAozjXNzbG69CkSfVF9xgGB+X1Ida3bzQ2xuvO5MnxmtTWptcZOjvjdaumprgtJk+OxwL/jnG7FM4N8bV8v89mY8eJOJabN2XDylmzhvXxfLqBAXq9VVVlMGlSnF99fQa1tY1oa5tUkGbSpAzq64GpU2u19V5byyLA1H1ydLRwjWfPienFcVVVBW3fra3NzyNTp0516h/ZbA51dUNoa2tCNptV6jMtLbE8rE0nT47HrtiP6+vzMk2a1IApU4rXgygqfn/VOlRbG0dnVFcDkye3bBpXbvqsrM7F3z09TFfM9y1ZG7S0AH19+fdvbpbPWb7Bv0NnZ/E4ANhaZ9ZjXWHSKU1lxts3ajB16pTEsrHnVWsoANTVoWANZXOdTbEuuhf/bvnxUth3162L1w6dTgrk54ZMRs4jKhX19bR115n4r169mkSeZ82ahXfeecepDEagdSf2szMFJvOaowJf/epXMWXKFKmn3hZ1dXWoqyvuPNls1htJSAuZTMZZzvgwpTgcjD0uZsPuZbMZVFXlD2CS51V4imw2K988lM9TXiafZyYDZbnsPisnvp/RykcBi7BR1SkrU/eOQCw3/46srscTWL3l20D9vvFeMXX9sz3aprpjbc5OrtWVafcu7mNFhvh93GVjQUrZbBY1NXHYmoto+bEXy8LODpDlxY87VZuK18TxKqatrs63VVzHhWn4cZDPr7DMuXNZiLy6Dli/yOebVY6rwnlB3c/4eSH/f7L+xvZMVlVliuqDjSXxrAJZmfl2zIzlyfddfm7mn5HNdWzsmfpsVVW2YJy4jj9+DIvvqTrorKoqJiqqub62Vj9GxHHArtnM/a6oqsqMHdBpKou1m2rsifUW9wPZuCq+Jssvvp4VfhfWEbXe2NkT2WxsuBgelvcPynrHZIm3tajHqEw2U73pxjLb85s/dybrPO/yY0U174qysb91ZcZjvrj++DWUz1/1nuyA0Hguch8HsjLEdVSuj5nbSqdX+gQvm27t42XzqX8AZp2SUmZhe7rLxo9R1VgV15h43rLXU2x1L7EfyfoHdb1ma24+XyvRywZqXTm/zuTJk/HWW28Z0z3//POYMmWKUxnsQL+1a9cq9y6sWrWqIK0ON910E95++23MmDEDTU1NBf/efvttAMBhhx02du3GG290knsiQzyYS5VG95sH9cARvkzK4Vu6dOIhMTLI9jvrkMYeIOrBIgcf7L9sH6DIbzpshXpwzng5gCVpP/F5uB8Vvg4EY+APrkpyuFlnJ00em0ONTPLIDpnyAVZmksP9eKWdz9OUl+qdqe3s2j8oeclkE+cM5gGWgT/sUAZVfaQN28Oj8oRTnRcPSrok67dNP+KhOtVfJ4+sbB+f87Mdyz76RUzCi/eIm2RTpeNBbU+TfGwOKuU4YKDORaWQTUTSebJcYOOFOteY8pL9rUpTLiQdC7r5diLA2eP/vve9D+eeey4eeugh5R78np4efPOb38T+++/vVMaCBQuQzWYxPDyM1157Df/1X/9VlOall14CAOy5557G/F555RXlvQ984ANYuXIlfvGLX2DvvfcGAMycOdNJ7s0JpkVLN3BsFFpboqCTjXJNdz1pWl0eLkr0ffclL9sn+PdIQvzZPaq1dTxM0kn7SaH32u/n/HwqXKZxz3tHXIkuO4RKB5VyTzEKquCT6DKw96i0U/1N5fpUyGXyUom/6l2rqibGqf6AXpmlvAN1faFcczWYqAwxokfdBB+f81M9q7su/m8L3ugJ0NuUQjpZdI4pL5N8vj7nRwXV+EKpj7SRtH7LAebEYl5wH7AxklVaW1ENrVQddjzCmfh/7Wtfw8KFCzFnzhz8z//8DxYsWIBcLodnnnkGzz//PJ544glcf/31aG9vx09/+lOnMtra2rBw4UI8+OCDuP/++4uI//Lly7FixQo0Nzfj0EMPNea3ww47KO+xg/622morbbrNHVRSz99LSqxFJY+SNukCQp0gGNLy+I9H2FhLKcR/vNaDDL49/joFWAcbb5dvomvy+FPzr66OvYe69KKRgf9f9wz1nm+Pv+xzgjYGUgrx15VPSesiGwU270kxBjPvpS1JrGSPv40xx9SPbDzs1D5pehddW/ny+LNyKPlQ60Mkwq5zoA2ht20rXV+yJf6m/HxBNp9S+0epCVkSA2m5IRqcXEHV68tdH6axbJPHRCT+zqH++++/P66++mqsXbsWl19+OY455hhs3LgRxx9/PD7ykY/g8ssvx5o1a/CjH/0Ie+21l7OAF154IQDg2muvxYjg3rrqqqsAAF//+tfHTvcHgGeeeQY777wzjjvuuKJnAvyBYoX2FT5HmXD4tD5CxmwGvI/JgaoUjAdQlVqTgcWGDIwHJJXTZ6i/S73aLOg6xUAk4yIo5bDzDijzAfuf4vG37Y8++p4Pjz8jur5C/dk9U5k+5ywqgeXnDV2Zm6vHnxpJ49Pgo3oXKtFVeaxtYTNebMayDzLjm+jy13Qefyry5zHYP+sK6nuWWzei6pSVhijyR/wpTh1qH08bSdqK8p7jGYmOLPjqV7+Khx56CIcffjgaGhoQfycyQkNDA4444gg8/PDD+MIXvpBIwIULF+Kyyy7D888/j6OPPhrPPPMMXn75ZZx77rm47rrrcPjhh+O8884reOb666/Hiy++iMWLF+Nf//qXMu++vj6sXr0aq1evxugm7aCjowOrV6/G2rVrE8k9UUH1zvm0DFK8O7KyqMqsaoKw8c76mtgmwkTj6s2SXedJogmVXncmIwcF/DsmCfW3WZxdiK6uLSgef1/EX6YwJvXcuHhNTWDvwBN3/h6lnCSh/r48mElAlUGsHx3hCXv81el0hgTxN2WMUvLz4ZU2wbUvU8iM+L8tbAi9bVv5qFtmPLQ1SrnClSSWaoxSrgGVrXv4JP5iviqUuz50Rhpbw2alG3Zc4P4h+03Yb7/9cNtttyGXy2HdunUAgOnTp5NPF6Tg/PPPx+67746rrroKBx54IIaHhzFv3jxcc801+NKXvoQq3g0G4LjjjsNNN92EnXfeGbvssosy3yuvvLLohP9jjjkGALDtttvizTff9PYOEwm80i6DuBipYGt9M+XHp6EqNUknCAYfof6VYiktJUz1TCX+46GefHmzGJJ6yFy8YjZ9UmfQ4dvU9R3YtE/tP9SoIdt7PttV5fGn5mEi/gCd+NsqSLq8qLDx+PNpVPvGXUL92fU0YUv8ATuPP7tuSkdpdyrxV+XHw+ThTmIoFsuh5EM1atrIZ1Omrk1lp/Pr4MPjz8otFfEH6PVRDo+/i6GsEsEO9/MFk15fCdEZSeDToF2JSEz8GbLZrNdvV4o47LDDcNhhh5HSLly4kOSxv+iii3DRRRcllGzzBkW59GEZpObHp6fI5sMwYZtWl4eLd7XSYKPU6og/u+fSRyoVSdtT5g12lYMagsvDR1uUy+PP+mQSjz9VcbfFRAn1TwKZDFTir5LfJdS/VJ5OF48/ldip8vVFZFzqjZFKar90hc144WFDZkox79rOz9S8TCgl8Ze1AfUdKlm2SkIU5Q/3852vzfVSQ9VWNoZWm/TjCc5d4YQTTsDjjz+uvL9kyRJsv/32mDNnDulTewHjA6IirUrDYGsZpORnUi5kf7tcsxnw5Trcb8MG/+X6QlLiz+5X8qJqAx+LSC4H3Hpr/HcSxSyJQcWH10t3qj8Vtnv8xb918lHzo6SngOWR5HA/11B/XVoTkoxPce6yIWxUwpPm4X4vvEBLpys3LY+/ymAie9aUn2zecjWY+CBPlDWFCtux7NuTqKsPnqhRytVFgNnUbSaTJ/+lID0uUSiVJJssXaXBd6i/qf4r1eNPlYOlq/R2dYUz8f/jH/+I97///bj88sul9/fff3/8+te/xre+9a0QMj9BQV3EqZZBykRCGYg2Xj3dBFHqPf5UpYDHpz6VvFzfsFXidP1DVIB0+VQ6fMiYywHs4yZJFiUbb4aYzrUM/rpPjz9VBsqcZGNYFPNMAl8ef574q8LfRVA9/n/9K9DXp5eNquStXg2cc46+PFV+4pzhe48/u26CZhehEbbEX6eIUo0XVEO77B6V+OvA5nLV+9puXaLML6bnqfXBt5eubNsyVXnJiJppfk5Kdhh4j3/asCH0tgbcpKDO9WnrHj4M7Wns8deVVwlQjRdbg3alvI9PJAr+yOVy+Na3voVFixbhnXfeKbg3c+ZMLFy4MNGJ/gGVByqppxJ1lwWaophTiYwuPx9KCIPrpGvKd+NGt3zThKkNxLS+6m48WGeTLiJiyF6S/NL0+Ovy5t+BSmRkoO7x5+ciG6OgKT/+WlKwPJJ+zs9nqL947U9/AlatcpNNxMhI8cGUNt4YsV1VRg5KqL9oWCwVqWCeVep72/ZbSj+itLtsjnYxmOiIv62xGNC3q2tkj8mY4Mfjny+EGsVBIZ1U0qwDP0eWw6tuUx/lkC1p33WBj/dMY4+/Tq5K9fjb5jEedEoXJCL+t912G+bOnYsHH3wQu+22G26//XZfcgWMA1AtoD4s83yZNgqiDNTJ3GayMkUH2FoZmWwmuH7HPW24eLNk12WKuU0elQQfMoqk2ZfnqZI8/lQkCfWnGA9t8ksKVmYSj38ap/qLBleTbDZjnvKesvxyucLndWWaiLXKE1YKL56POZLPi4cqUsKFZPnoR+wZE/H3sebaEDGbsezD4y8rk1q/pjJtDvfTvWs2W7rP+cnWF1/1kQaSGlZssGKFvkwb+N7jT4mOKTeS6PV8mvGgW9oiUVdYsGAB/vGPf+Ckk07CunXrcNRRR+GrX/0qhoaGfMkXUGGwtTCbJggqbIiCzlJnQ2TK8Tk/HpR3TeNsgaSw9d7YKrUqVMJio4OtMUkGk7fcRpZyevx1xIIqG/VwP1Emk+fU1ijgSzEDkof688o/VUm1MeD6mueSyCbKoSMLFI86tT58wpb4A3akiEL82TVZfqYT5VVl6kAh/jZQGb1tHAPUuY03MiUBdf5wMaj5IM18vyyFp9amT/IolWximZR0vrD11snzZ2OulJ/zK0dbiUjaVi7z83hCYhtQY2MjfvOb3+C3v/0tmpqa8JOf/AR77703li9f7kO+gAoExRug+63KSwV+caAoFywdVblMYhlk8PU5P1/Kz3iBrp7Zdd+n0ZYLvok/y9NVFuo132F7PLGg5icbF66n+uueoRD/ND3+SUP9fR7uB5jnSlfvjmwsUBVJG+JP2eNvc5163wRbxdLWOKpqY1ePP7XdTXIyEiIDddsDS6NrV+p4oT7Dt5fsWSqo86lNWzH4ONyP5VNK0kNdX9KYd01wjc7wiaTEP5NJ53C/JPdLAde5nUHnQBzv8KZSf+ITn8AzzzyDBQsW4F//+hcWLFiAX/ziF76yD6hAmDxnpjQ2Cq3ut6xs3SQtpvVB/NNYIIPHP4ZLH5moGB31E+rPnpf9TX3GBJVsLp/zk+VlS/wZknj8Tc+7ohI/50eZd10NQ1QyqeofNoTHZ/9gEM8nsIWLR0mliFJJOHVcubQ7k8/0LqXy+LvOZyYnhQ+Pv4vxxSQbYBfqrwJ7x1Kd6k81vqRhgDbBpi4rlfgDcVv63uMP0Il1uTz+ScYCn24i6pZefWlz587FI488grPPPhsDAwP4/Oc/j1NPPdVnEQFlhswbIEuj+226LoOOKKjyTGo5LjXxd1nsx/ukpCP+7HoapLQcsDUmyVDqUH+XPgmYx5XOeEGVjR3uR5GlsZGmuNvML7prtmB5lONzflQvG5WsUyErk9on+WeZR0uWzuRFppJmEUl3M9oSfxfjhamtkpBOF4OJrj1c1tq+PvqXK1T52OoCST3+Inx6/H15pCvR418uMmnbBmkgSf5szJVyjz/lftrQtRV1vg0efwVuuukm3HDDDejs7By7Vl1dje9///u48847MWPGDDz22GOJhQyoTFAUBx8ThLi4JZWNes3Gm87SDgzQnzFhvHq6bRUN0zuM13oQ4UNGn6H+rgqXTRkyiB5/V9js8e/rK1zIXT3ELI3s7yRgZfr8nB91rrNRoilkkqpYUQzEFI+/ru+mtce/1MSfyZXEmGNjxHM1+JjGoo74237Ob6edgBtvlN/zaYxi1ynzh0v+lDagPKt7Z5v6YO/pk/SccQYwb17xdd/14RNUY0MS46eLHLZghtFSevxLHZ2hksPmugjfRr5KgjPxP+CAA7B06VL8+te/xrp164ruH3LIIXj22WdxyCGHIJqINbeZQiT11EnalBd/zZQfRZGjypbUMijKNGkS/RlZHrYTZqWH+lO8QKYJmmqpHg/W2aRToc9T/amoVI9/OUL9k3orVWDjuKameEzbEP+0Q/1d28qUNy+L7jdQXD+6NtPtKdfJYWrT8eDxN6VL4sG06Uf8Mz4/59fTAwwPu+dFrQ/qfQpc24BqkEw6P7E28h3qf/XVwPz58ntUA3Q5yCS1zEol/qw9TcR/ZMROl6REx5QTSaMzWLrxoFO6oNr1wWXLlhnTtLW14a677sLbb7/tWkxAhYOqMFKepUYQUBVz6iKY1DIIpHe4n0mGSphkdaDI74P4V3o9APbGJBl8hfqLz6fh8VfBtMefCtvP+fnw+NuSBSpYmWmH+gP2hhBeDpVsvKJEJY6u64T4bBKPv61hiEFGOG1gW18sLYXQi2Xo0unqjf9NyYti5NW1h+3hfgDQ0CC/79vxIBKBJAZXV6Jrwng83M9GB+T7ZLkIWVqGX12ePoi/aY//ddfFhpkDD3STUUSlevypOhi/ro0H3dIWqZ+XvWHDBvz6179Ou5iAEkFUuFSgKva25INq+aYqs7oybS3lvkFVXioNtt4bKnEzodKtsz7aKq1Qfx1cPP66dDJi4SJbVVXsIacaAtm8kMTjz9KoynAFy6MUof4Ukqi6Rs2P8hyVTJqIf5LwcZv64FFpHn8RlEgaiqGd/ab2ScrYsemXKvkYVMTfBSYvpmnucCnHpj5M7+XzcL+kBg4buBqgK8ko4Vv34B1JSd8zkyk8FFiGoSE7YyZlrJQTScv3Od4rEakT/76+Plx88cVpFxNQQohKgQgqUbdZ3HhDgg4mTwp1MgfsvPg+yCvVG8CjEkP9eVDai+plGe/wYT32Gerv6nmilGkaVzrDIFVxqK6mEX8bgmITUcTS+wAbx6oDC6nzh8koRCXXsnJtCCBFVhVhtX02k3E/3E9WJkWGcu3x1+UlpqW0la6P2I4rVZn836ZQf9v5TEb8mSwm2JJrH4TYhphTjTR8Gpsxr4Ivj7+rQYtSH9T8k4K69vnWUcRxkyQfSqg/VTcx6f6qZ0rRViJUfct2vi2H7GmDHOq/bNkyLF26FKeccgp22203nHLKKaTnBnyedhZQUaB6/FVwtahSB2KSBcSWpJkIeFqTRyVOSnx7JfVmARMn1N8HfJ7q7wKbMnUGHR/GC1viT/H4m+DiiaPmCyQP9acYZanEXyaHSbYkHmyVIcAkRyYDcOcLF2A87PFParylEjtZW6nyYwSd1b9YH7JTwmVtxbafjI7SiL8tamrc87Ix4vkyQtu0AeUaD5tQf5OBo1Sf82Pl8X/7NEAnAbUN0pDDF/EH8nOMjS5uSjdePf4u7zkRdUsy8T/mmGPQ1dWFp556Co888ohV+H6m3L0gIBXYKIy6PGzyowxEnXIvW+x9EH9fyr/t4jbeJyVdPbPrE+VwP9s+JQNTpPk8XeGicCUtU8yTQlBUqK7O7/PXQST+lLTUNL49/klD/SnEX4SNJ0v1vC0oRgRV3rlc8Zrwox8Bl1wCtLQU5lepe/xZOUkMJWJelGeoRm+x3lzbamQk7tMm4q96XgYTKbKZn6hzG2+osS1Dlg9fvi+iS9XHTPDl8fdpfLEx0vgEda73LY+vUH825kx7/MU5lZo35fp49PiL432igUz8zzrrLPzhD3/AaaedNnbthz/8ISZPnqx9rqurC2eddZa7hAEVDdOipRv0NqSCEkHAP09VZk2TIRWmtK4TiGmSqsRQfxOxE9O6KLWyfCodvoh/GqH+unQ8qP3YNK58vMOMGcCJJ5qJnc11E9Ly+LA8knj8mZKnk8uG6FIMuEmUPKoRQSYHf00VAUMh/tQyRYzXUH9KfkBhvVGNNLIyGPEfHNS3B8vPdiyp1j8XQxnFKOiDCLgSf1Nevowq7D1L5VWnGjjK7fH3ZVixLdsH8TetIVTdhKrXlZsw+xyn40G3tAWZ+F9wwQW44IILCq6dcMIJaGtr0z63Zs0anHnmmW7SBVQ0KBZQm/CiJAqoLB/qJJ3EMkiVycbKyDBeCS//HpR6MZGzieLx9wH+kJ4k7+tidDOlk5VhKltFUCjvVlsLHHww8PTTehlEj7/PevPV51gdJPH4i+GcNqSI0vY2BNAEVV6y8k3En5UvmycoHn9ZmSZU2uF+VOLv4vG3MSCpiL8uDV8mBfzzqrMdXNdO01rkw+NPLZPaVqr0uud0hgT+c36lAPU9XdehJHCVLSl8EX9APz8yUD3+FLlsjDlpIoleL473iQbnw/0efPBBtLa2GtO1trbiwQcfdC0moMJBWYx0A83W+m3KjzJgKYq7b+LvAsqEWYnE3waUep4oky+1T23cCLS3y+/5PNWfh+8QS6rHX1aGjeJu49EVSawL0lJAdYf72dSH6R2phE1XhotssnyStLuM8Mjyo+zxd/H4+/icXzk8/tS1z3eovypfXZk6sHGShPiLMpucFD48/nE++ZdMOu9SdC3bOavUHn+xbMo7lEs2FXzrKL5D/QE7J5wJPvNKA0mjM/j+Vgnv4xvOxH/hwoWoJmywHB0dxVtvveVaTEAFgxqW5cMySA0xMuVFXWhkaXXwEXLvokRX4qQkGmoo6XXXx2vkgwiqjE8+CfzmN/J7vsLk2fMU+XwTXRtDnkoG/rqJoIjpK9njX65Qf8pcSSHrPjzYJtlUxF9WRlp7/MeDx5+STkfC+c9CUvukmG50NE/STe1BHUtRZCb+1HxcCLFNGaYyk5J1vi581C3Lp1TEH6Abo1TPpAlqW/mGrzxtiL/tOmwaK/zfpdbPfBgmfBj6KhWpf86vu7sbn/nMZ9IuJqAMSGKFFtPZXDMNXNPiTF1QfX7OzwWUCbMS9/jzMMlPWXB8eJkrAdTFVZfO56n+VIXLdRGnvgOFVFC8hOvWFYczikYG34p7krx4+Djcz/ep/uyebX4UUMmkilzKiL9MvrT2+I+M6O+bYEv8ATuPP7uuS5eGwUR8Rubx13npqXWhI/5MFluUyovpQvx1dVNba86LClYum0fTJmwyQk+Zi8pBJgG/cyC1nKTvSXHC2Ib6m8ZKJehiScaCz/qvRJD2+N9www3OBXR3dzs/G1D5ME3SpgmA6j2jeghNE5ON5dhmwKfh8acsbqWclDo7gSlTzG1qM/HrSC67vrl9zk+3CPsM9fetHFPTiWTcFeI7bNxIK2s8evxdZKMqPtS5UnbN1TCkGvcUAsvGB0urIilUAkuRQYSvT/Cl6fH3ZVCzMdKYiL+sf6vy08FHqL+NEY9vL106SpnUa9R5hvX/ieDxB+j9oxxGCRUqlfizsQzo9SidHqZ7hoJK8vhT39PFMDueQCL+J598Mlw/yRdFkfOzAZUNqsJoWkz5/EyTPmUgmgYsdaGxtZQnhUsepZyULrwQ+NrXgG228ZcnpZ4nyuF+NosOhfgnWZSonpYkCpfuHXTj2UZxt/XoJu0jaSmgPPGnlKnKwyXUX5UWKDYkuLaVrDzKOqHqH/zzKjLG6iONPf6lJv6AncefMq5MZNKW+LPrPGz2+NsYi1mePkP9KU4K38TfhkyqyjStBzaysncsFemh1oergTEpqPqpb/ja4w/QIgSp8xnFeO66JvhG0nrjx/tEA/lU/+OOOw4NDQ3WBfT392Px4sXWzwVUPpISdRvrN19mEtmo6XwTfxdPKeUdShnqPzoa/zNBbH9TWlP/mCiTrw/ib1O3JpTT428b6q8rhycosrL4tD4U9zQ8/pUY6q8i3Lr8khqjqAYOHjrib5JHVR8mVJrHX4SKlLt4/FVl2nr8VXIx+Drcz1SODmmvRdTxYmMgMHn8bYkYf6p/qcm1Cjb14Qs2+ul48Pib1mTbeYiq149Xj7/s74kCMvH/0Y9+ZPx0nwyrV6/GzTffbP1cwPiAyVNkGvRUJdqk0FLuye77sIJS0lInG1tvYiknpSii1Qn/HhT5fRhNJtLkbGN08klgqUpN0rqmEFQKRIJCMULy/+vy1d1L2+PvSvzFdKa5mf9NTZvESCM+RyGsOo+/+IwsP5EMnX46cM01+jJVefGodI8/u65Lp8vPZ6g/f7ifCjb9iCczPkP9KV5MH55wqvHFxeNPLdMkX7k8/qx8lVz836U2SviqXwoqlfgz2Oj15YJqXNno4pXwHmmAFER74YUXoqmpyamA5uZmXHjhhU7PBlQ2dIqDKQ1LZ2v9pkz4ukXLxuthMxGmsQhVIuH1HWGg8/Kw6yHUX45yelepZaiu+/D4iwRFBZny5ktxrySPP1+v7LcsTRKPPyU/ClRkUoSK0FLWmCgqNqS89hqtTCrxTzr+fHn8qQYTG4+/7an+snbgtybp+gq7R63Pcu7xTzLmZfMpZVxRjHPUcWwCv8e/FHAxhJTDKOGrfinwGerP6k2nR1EP96MYz8vRViJ8RuaUWvZSgOTxT0Lca2tr8cEPftD5+YDKBsVTZCJ2/DOmSZ/qrbNZUFX52Ax4EyF29UBQFdBSwNZaCpjfW/eOfFtSyqx0UGW0If6+kMTrS3mGh2mPPxUi8acYDX0r7qprLvl+6EOAbDcdlciU4lR/Ezm3IbJUA4csHX9Nd7hfJlM4R4rzJZXAimD5jI4WhrJTYUv8dXK5En+qx59aJrvOw5b4U8CXYbPH31QGZa1K6gmntoF4j5LO5nA/U37l9PhT05Vizac6pjYXj78vuUoBVVvZzLeV7kxyReqf8+vo6AjEf4LCh4eeSioohgQxbVLLsc3EZkqb1iRZysk3iuwNDZS2MqUJHv8YK1YAt91WnNZVlrSMUSbZTMqIq2w2RsNSKO62+X7sY+mH+idVUmWyueZjMiKw3zIyKa4xKllEMuRqbBDB5kFXw6st8bcl4dRxpeojvkL9+XSmvmezx5+lo+7xT1If/HUfhkMqmaRcA9wO99PVc1p7/JPOR2nMu76QBvH38UlFKvG3ncfGq8ffRXepdAOHCxxs1YVYvXo17r33XqxcuRJDQ0NF9/v6+pIWEVChoFihbScIVTo+DWUg2ngWVAuSzWToY3JwmTArkfjbkguKsuWaR6UhKfHn4dPzRJXNRUkT4XKqvyo/Sh2IY4ri2VPBtd5MYJ5Ran3oZOvvj/dWUxV+KmGgEMAkRNZGKaMQf5HAAvL5y9XjL0YT2MCW+JvkokZKUNdb0QDlOkZtyrTx+OuIv86YozOMUcZ9JmNnoJCBqn9Qx5XPw/3491TJ5huu/Sht2WT9I8m8ZYNcDqipAQYHk+dP1cVt13+T3lZuqNqKuj5NZI9/IuL//e9/H//7v/9bQPijTbUaPuG3ecA0Edp41CmhVKZuxZNF6oJqyosCH6H+smdMMpQy1N+mPGp7mT63xdLYlFmpcCU2DI2Nhb99e54o6di1JBC9EEmIokuofxLYzB8u+SYl/tkscP/98SF2xx+vLoeHrg3SiiBQ9XGqF9kX8XdVXpliTvnKiSr/tD3+rv1IfJ5i8FHJyaczvYMNTMRfhKqebeY21l5J512KXDZtZSL+rBwq+D3+Pkkcpb/orvkk/v/6F/Ce95jTUcp0nQN1iCKgtjY58efXWp0eZUOIATvjebk8/r4MJpViyPAJZ+J/22234ZxzzsFBBx2EffbZB1dccQVOO+00tLa2AgBWrlyJO+64Ax0dHTj77LO9CRxQOaCSBdNiKj5rSmcaiLoBSyUy1ImQKpONldEGpZyUbBcH8W8ZKIf7VTqhp8Km/mwUIl+wtfi75meaH2yJLpUU2cwhlPyS5sWDeZAp3i5THgDwt7/FWwdkoBJ/yjWfxJ9CzGTP6kJiRcMidY8/hfhXVyfz+FPL4uVS5UV9ByqRsflahi4/kfjr3qHcof4UJ0BSQmxTJpU88fNb0jWCj2ooFWGjzvWUa1RccAFw++32ZargW0c58MDYsGgrhwwUJwz1cD8e1PW9HNDNM7YGjkD8Ofz4xz/Gpz/9afzqV78CAFx99dU4/fTTMWfOnLE0GzZswOGHH46WlpbkkgZUJFwXI/Ys1evIp6F4DqhKkm6x9Pk5PxdQJp1SE3/fof5VVf4ORpwoUC1OuRzwzW/mf5dCAXUluiYlw9bjr5LNlqD48Nil5fE3HVJnI5vsrABVXjYef5NsNu1JfU9ZOnFNUOVP8fhTPZE8fBD/tD3+rmD1pjtZnFomlfirnlfJpztjwbVNTWVSCJRNPiwvCqml1JuPUH+WTxoefxlcyXXSedfF2GZrIE0i40svAdttB3R0JO+31MP9KKCMAVnfLYd+lsRYxM/PExHOh/s988wzOO2007RpGhsbcckll+DGG290LSaggkGZCH1NEBRDAp+Wqsz6mAxt0+rysCVZlUj8eZgmzkxGnSd7t4kU6k9V8nWeOAafCqguHQ/fHn+Tl1BXLoX4889WssdfRwRt2or1j6lT6aSIYnBlv11lM+WtkoXi8eeJpZjOdLgftUwRvoi/jZfbxjjHrpvy080z/LhKYqQptcefatyy7btsfCYlMplM4cNU4qgqk0LsXN+zFLA1ILE0SdqA6sAQ5aIal32sCYcdBnzqU36Jv6pNKR5/2fhRody6mE8jRzmMFmnDmfhv2LABW2655djv6upqdHd3F6Xbaqut8Morr7gWE1DBoC40NhNEEkOC7jmXaz6Jf1okq9Sf87P1+Jvqxdce//EwOScl/uLn2lhaV1moykraHv8kZZqULHHuqFSPv+5wP2o5fP9oarLzRFHb3pTGxoNNVSTF69RT/WVkcnPe428jm8vn/CjkmkqeTPLpiL8MFDJpKpPlk3T+EOVKSiZdTvXXIa1T/WVw1dFKQfxZOTo5ZOl81Vs2CzQ3J8+L4jSz1XdNxDqN+rBFkrHAj/eJCGfiv9VWW2HVqlVjv2fMmIFHHnmkKN1DDz3kWkTAOACFqOsmG4oSLaajKPrUvHTpbCYr00Li4tWhTJilnlB9l5fNqpVn28m30idpm0VH54ljKJVi5nsR5/NUkQUX2ShpklrxbTxxLvkmISiUeVJlVKCktZ0TdVARfyqZpBB/wC3Uv5Qef5vxZOPxp+Sra3d+q4hNW+lkoxgSbBXzUof6ZzLJTvW3MRxS01G2TZUjssGmPJd0pSD+uvJVcviqN1MbUNcEyuF+VI8/VQ8vN5Lq9dR5a7zCmfjvsssuuPrqq8d+77PPPrjwwgtx8803o6urC11dXfj973+Pb3zjG9hll128CBtQWaAsWjYhN5RJjuLh002YNkSmHJ/zK8Uzroii0u/xr6sDttqKltd4AHXRkaXjPeWAf881RTabMnXjSqes2hBdl1D/SvX46zzXNvXBduBR5j+ArlxSlCYXr63ueQqB052N4LJXXZZOvLd2bemJvy4vEUn7eJqh/irZfHn8bQxIpSbEVJ2Heg1w8/jriFEl7vF3Xa9U8Bnqz+75ko3BV9SFiy6uSkPNq1I9/jbQzVXjHc6H+330ox/FZz7zGaxevRoPPvggTj/9dPzhD3/ACSecUJT2jDPOSCJjQIWCstCYBj1lgpB5d1QwWepki70qnc3E4etzfrYTZqWH+pveW0f8owhYsgQ4/HBamZUOGyVHRfx9eT1syKRLmVTFIKkSncbn/CiGRWp6KniF25WgsP7x058Cu+4K3HSTPJ2Ld9hkXJGlNaWRvSclP/FZE4nh07oaG3g88wxw0UXADjuUJtR/5Urg5z8Hdt5Zn5fsug4mImM7DlR9lzfM6NrKxaiY5HN+NmWyZ32QAar+YRsZoFo3bOesTEb/pQzfoBr7fBpcfYb62xgIbODD48yPP9OabFsOdb4uB3x4/GV/TxQ4E/9jjjkG9fX1aNz0cekFCxbgd7/7Hb74xS+is7MTADBp0iRceOGF+PjHP+5H2oCKA2Wh0U0QLosgRSGhKhhJraDUtLYWVcBOIS8FqMRffEaHTEafJyNDFFS6ddZm0VGNA1+h/mkQelkZMoiRC0kUcluCklSZ8q2AivkmjYBg6Z57Lv6nS8Ogmyv5+y7KoU5WV9lUxF+WZxp7/IeH4/9L5fF/+GHghhuAK64ofFbMi4cPgxp7N5WRxtarTiH+tvNjks/52YCXPWmovyhXUrLO0o2MqMu1ef9ye/xLQa5dDJg2OmWlEn/VO9iG+pv6U6V6/G10sFKNgXLAmfg3NTXh+OOPL7h2/PHH46Mf/Siee+455HI57LLLLmhoaEgsZEBlgmKF1g0c6sRKzY/lqRuwNsYGn8Q/LZS6XBcDhg66w/1cPDKVjKTEX/T4+zR02Hjikta1qEDI8qMSXZvP+VGVFlOZaXj8+cP9KGWqZDMdhKnKy0QqqH3XhbzJytPJJj7LvO6ydGns8Wf3kxB/lg+lvnhCx97HB/HXrZGmSAlqvYlbWErl8af2I5sy05g/fJDJbBY47rj4ILieHnleVLA+WUri72rYTyKbi8dfVx9pEF2mGyXNi2KwoszvsnmHkq4cj0eYcQAAsHZJREFU8NEGOkPJeIcz8VehpqYGe+yxh+9sAyoUJuusD8ugTX6ih0F331SmjVLn61v0tgtIJYb68zC9N+VUf19ljReoFnsZsUvieUrT469LZzrVn/pOIkExef/4hdxXvfnqczqDJVWRkm0FUZXDwzTvUpQ9F8jeU4RMNnF86Ih/JlPYLyjEXyULLxOQnPizvEx1yiIMWP+QRcz49HBHUfHhfrI0LuRaJ5eNJ53Ve6n2+PNjISmpcCWTKmSzwB//CNx+u5z4y5435VdKb2daupEOLnv8qdd81ZuPNuB1BtOabCubTdpSO2Z0BjWqYVr290SB8+F+VKxZswZVVVVpFxNQBlAWLV0aG/JBVT55BVoF6oJqM+Ap1lIXpJWvC6jE32R84VFVpT/Vf6KQecBu0ZGlkx3ulzaBdTUQ6NLxeSZRyCkeCJlS5tNjpyrXFr4O96MQfxFU8kHpv9Q+qcqLQlDEZ/mQdFN+rmXK7if5nB9lfWRgxF+X3sWApjP4uBzuZxrLlHWbAl6eJJ/zswGvVySdP3xeA/TbpmzzAuL3s9lilwSufTmpbK4efxnSMgaXkvhT5nbKeitLVy7Y9nsxXfD4azAyMoKXX34ZnZ2dGJWsguvXr09aRECFQjcR6n6rrlPyM02E/IBNusjaTLg+vNYuC0glEn8bmA73o2I8WGVtFh0V8ffl9Ujbm2HyLtgQH1V+IkExef+oxkOTgpSWxz/p4X68kqdLY+vxZ3/bzokmOSjXZNdFOerq1OlE5S3JHv/Vq4FZs0rv8Weh/oyQuZJwKsRxxa7xEI2QrExZXjzxN5EnW6NRqUP9beSUQTZ/qMaCjcffJi8Tyu3xp9ZHEtlcP+dHMZACfurN1AbUMmTrnywvm3XYdo0stX6W1KFHNViOVzgT/5GREZx77rm47rrr0NfX51OmgHEE00RI9Z6wv02Tvg/iT7Xi+vycnwtBoEyYpQz1B+wnzaTGC1vFrNJhq9iK103EzgZUxdI30RW9EBSFXDfPsHuUuciHxy4NJU/nYaAq7pRQf8COJKbl9ZD1cRWBNT07cybw5S/L04nvlmSP/xZbFKYvNfFn6anvQFmTdO1ue7gfu65KRyH+FLgQfx+eU5aPz/nDpj4o8xuVmJrkKxXxt8nf57w7HkL9dXlR8+fXWl0UB/VwPxcZyoUk9Qakt/ZVApyJ/wUXXIAf/OAHqKurw6677orJkycjI6mloaEhPPbYY4mEDKhMUCYlk8XShfjrYFIgbKyRNpOE7aRJkc1HuT5BNYb4spbaKoOVDqpVXZXOt8efapRxVbio416Wjiqbzef8fMDGE2cD/nA/VwWLl+3MM4Grr9anoeQn/k5CJil5UckkRdmWvavvPf6uof58Xqb6Evf4uxpMqKCOKwq5phJ/V5ltPucnS2dLiIFkp/rLZKGQdQqpT0oSGbJZf9+Qp8BlHfJlyDHBxUjjq95khktVmTqYIkJYfhQdlqKHp1UfNtC1FXV9kv09UeBM/H/3u9/hqKOOwg033IDm5mZlutWrV2PLLbd0LSaggkGdlGyIdZL8+LQ2E6Yqnc2A131KhwoXy3ElEv9yodKtszYETtUn09zjT8lLVcc2xEM83C8J0bUN9U9qkHIxztnmSyF2qjxYvf7gB3TiTyEVrE/6mm9keakIm3hd5p2i9l9ZH7ElzeX2+FP7h6uRRhxXsryoxgaqoUxWpgpRBBx1FDB9Ov1zfuw5nWwmUJ0POlD7rSydChRiZ9PHfcyTVLga/5LOwS4ef2r9lsrjb7smmNZkqjx83qoyKwFJjGA8j5iIcA4c7erqwkUXXaQl/QDQ3NyMCy+80LWYgApGEiu0mE78m4eovPsk/ibLJcPy5ep0QHLPj0ye8Ur8qZZhm3woaSsdNtZmWTrZ4X5JZKGmoxrKqGWYxrMNqbD9nF/SxTwt4s+iOWyInSoPHWyJP7vPP68DVelVEX9qu1OUclF5oxobdNd5mXwRf1MevMdf9hUUlzZlaWSIouJT/V2NDTqDFiU/FQ45BDj11PKF+qdtcKXOuwBtjz/lGp9f0ve0AfU9fZJrn5/zczVCmsD6QCmIP0U34e/b6vWl1s+oej0lj/GgW9rCmfjvuuuuqGOn6mjQ2NgYiP8EhU5xMKVh6WwXQRfF1rVMfnHYcUd9uSaPP3WStkUl7vFPkj4JJop1VrUI2yiDFLgsztQ69p1OpwzqiL+qDF+Kuy8wBY3iNdXBJ/GnkmSfoJJJG+JvS2CpdV3qz/mp0suetzHAyK6ZvO/UfiQSf5Nx36aPqT4Fa2NAspl//BkO8y9JcXbo0gF+D/dj71eqUH9XA3QpiH+5ZBPz9dGm/P+qsijEn5pXJehitgYvWbpyGC1KAWfif+mll+Kaa64xpguf85u40A0KnUePwcY6TfU68Qt0EvJEmQh5mIg/n5dPS2kpJyXRGKJL52Pir5QFxBeofUqVLs3P+dmk89nnkni4xXSm/b4+FHeWj2/o5i2f48CWJIrecl/GIRUJp+Rls56YyqSWIZu/K32PvylfHenMZoG3387/di2T5cU/Y2Og00FF/FVIOq74+cOXwVUml2s63bvYvGe5Pf4yJCFxMvj0+Nuks4Uvj7+pj1AO9xOfp75jJXn8bXQwH7pCpcJ5j/+iRYuQzWZx7LHHYp999sHcuXPR2toK8YC/8Dm/iQ3KhGxDdFVlUAwJfFqbSVqXFxXUPf62ltLxSPx5lGriHA9WWR/En9p3KWVQDWA8bMqkKhJUMibL3yXU3ySb670k4I06aRJ/gO7h5r0e4jUdXPu46j1l6Sj9ktLHqYYQnuCzOZAPh3cFRSnm1xabz/lRoBszn/888PrrdsRflZfqGT6dzaF5zCs9HkP9KXJR07F7qudU10xGglKRHhtDHGXtGx4GurqAGTP05fr8nJ9NW9lAZyhzJf6uRlMxzXj1+NuAoiuMVzgT/1wuh7/85S+48847ccstt/iUKWCcgOrxV0E2mVOUd91A5MkRdRFUXfNJ/F0mQsozpQz1pxJ/XxO/i0eGPTeeoep7vPeMv+ZaBg9f3iKXZ6hkTPacifjLnvVtMPEBncHSZ5lUcs3g4vGnykFpZ1V9UJRt0WuThMDyxJ/lkYT480SSSvzZu/j4MgHLTyefbk2zMdKIxJ9qpDGhXKH+ST6p6qLzsHQquBzup+sbpTzVn2KcY6DU229+A5x7LrBunblcimwUUNvUBUmJP8vDlJb6OT+KETgtQ4gNdPVm0/aVYMBIA87E//LLL8cPfvAD1NfX4z3veQ9aWlqKvP1A+JzfRAbFAqob9DbWb4ohgU+r8yxQFlQqyWWwDfWnWrUpk3EpQZ00S03CxwPZt1l0ZOl8fs6PPS+WK5PFdfGjyEYlujpDCLtHDfVPgrSIP3+4n2uZYh0lPQhOVH58E3/KNdl7257qzxuGqEYVMV05Pf6UPf6uHm6dcszWNBuDiZiOGqVkW4+MgFM/5ye77kr8k8y7sn6rK0/3LIPL4X46+Xy8pw2ocxtl7duwARgcNOfnEuov+y27XknEn62RFL2Zul7z/5vSlQu6cVWpOmwp4Uz8r7/+ehx99NG44YYb0NjYqEwXPuc3cUGdlHQDx2XS1+XHL1xUSzpVUdDBR6i/C0o5KdkaQ3yUZ1Nf1EWpXLDxIOiILoNPz7XvOrPxRrh6VsTnKUbDpIt5WsSfV9CSEBQeVVXJT4BPayyp+jjVi0wh/rJ1g1Kmytgg/l3qUH/VuuZK/E1Gb35No5Ypy4s65mxC/Vl66uf8fJAxX+uLq4dbBZ+H+7H8SkX8beZ+yrWhIaC21pyf6+F+lGu+6k3XbjZtyoxkprJMMsvmAIps5fD4MzmSwIejoFLhHLS0Zs0aXHjhhVrSD4TP+U1kUBRGE7GmTBCi8k4h/uxvU5m6dD6Jv0+rNo9KD/WfqBOnC2yszbJ04uF+LK2rLGl7/CmgerhVhGeihfqzv13KFNPIztS1IYnXXQf09eWfs/UK6SDLS0XKfRF/WRlUo2+lePxVZNe1j+vWPt7jL0tDNdLw/doHkQHMHn9bo4QJ7L1YuUnmXVEuV4LJ4BLqr3tvHwZSG7h61WXwSfx15ejSUcb01Veb86QatE15UA/3o+Q1XvQ6Hx5/2d8TBc7Ef6eddkItYYSFz/lNXFAWLd0EYbMIUiacFSuAgQG9pU5Grqny6eDrVH8elAWklJMSlfiLzyQpL4kCW4lISvx9WdJlYy8JKCRA9ZyK8FHy56/bhPr7NJj4ADPqUOuDAhXxp+Z9ySXAG28U1pmvcaYi/lSDj43yppOfShJ97/Hny6ISfxuPPy+nrmwZ2DzPyk3aVjbE36Y+bYg/uy7CZn1h9e/TcEj10idxstgYEYDS7/GnXqPUR9oef0o6Sr3dey8tb2r/0MlGPdzP1qiry6tSPf42bRo8/hL87//+L6666ipjuvA5v4mLpB5/Ph0DZZJT5fdf/xUf7qJSkGR56dLZkFzqZ51MhgbbiabUxJ+qcJeDsFf6JG2z6Kj6pK9Qf9nzSRQMU966dDKyQEknXqcaDU2yZTLxeLYhFUmhUzRcy1SFd9qQRF8RJjJQDT4U4u+jf+hkq4RQf1V6KgmXQVUnUZROqD/VIG8C87zbeG4p84wpD51uQYFM/0iSjr/no275dywVYaMSWIreNjhII/7U9/IpG4+hIXq+SddlCoGlHu7H56lLV25dLKlDT5y3Jhqc9/hPmTIFVVVV2G233fDJT34yfM5vM4RuodH95q/bLoK6SXXjxvjbyroBK5uUdMoPFb5C/cVnbCbjUsA2RI5CslQolwEhLdgYTmTpRI8/S+sqC1WxdIWrx8SGyPDXKUSdupj/4hfADjsAixaZZfMB/nA/Sn1QkDTUHyj8xKBre1LTUA0+VOIvMxhTjQ0iyhnqz8pTkV1X4q9bb3niL6s3qsHEZp6hhNDzz5cr1L9cBleKcU6VxkZmfo9/2kgyp8iulcPjD1Qu8Y+ifASHKR1F16Q44ESUyoAkgtpnVCil8avUcCb+H/jAB5DJZBBFEc455xyfMgWME+gGBYWoU4muSPx1qKnRL1o2iohP4k/N13axrdQ9/rK/Xcqz9QJVEkZGgHe9C3jpJbvnVIswW8QZfHqefKTjYeONSKL82Xh0eU+WCQMDcuUsLeLPt22lEX/eWOJLCaKSSZls1FP9KcSfujaVk/ib0lOJrgy697fd42+STfeeLvOMj1B/KlieSckAVedh92R/i/B5qj/Lp1Sh/qw83W/ZdVWacuzxt2lTBgrx1+VlsyZQ1jzq3E7Rw9NaI21gMmqawBv6JiKciT8A7LPPPsZ9/uFzfhMbpoXG1uNLmeR0A7e21rw4U8tM43N+NoaGSrM22hD/iTph2iCKgOXLC39T2lMVdice7uezjn0oGDZl6cq1ITK2xJ+KkRHg738HDjooNibqZPMBnlhUGvFnz/H/J4VqLIiyqTzcrgTKta+VM9RfNFxR+wc1X9lzsjo3lamSge9Dun5sa+TNZoH/7/8DrrkmjvQzpU86rmwMhypQHQ82BN7n4X6svUrl7aS+p6zeZOmGhgrnaxV8OkyosvHgD+w05UtxAujy8Hm4n+63CuXSY5MYwagGy/GKRMT/lltuQVtbmzZN+JzfxAXVQ0/1qlC89KZJhBF/Wf62ZdoMeBuPvw42C0ipJyTbOgH8KkmmtJUG14VSVc+yxT6J5ylt4wxl3FO8O+y3iiiy6ybvH6+0m+ptdBS47DLg+OOBd79bnp9P8If7iSg38S+lx1+EirBR5nZRcVaVSSHN5Tzcz5SeWm8yUIzeSepNVKBNRNemLthcODJSSPxtjBK26wszOPiad6kGVwqpt/H4667xBo5SrKs+veoh1L84nWpdEdOZZBbXUkq6csGGd+jyKPd7pAXnw/0++9nPYtKkScZ04XN+ExeuXhb+uu0iSCX+FCOCKT8bZSSNPf4mlDLM36bMcllLK22SphIW2XOydDKPv0/in0TBEEF9JimRMc0zMmWFIptqPKel1LB8S+Hxd4WNwuSSF9Uo4UrsVOOKkpcs1L+6uvTEv5R7/HVwaStTP6b28QsuABYsyM+FlPpg113Bj8+k499l3qXUmw+SmMkAc+YAH/qQWjafoOZPXa+Gh0OovywP1TYyBsrhfiwvXgYZbHTstGAyMJrApyu17KWAM/EfGRnBV7/6VZx55pnadOFzfhMXFAuzaXJyIf46sMP9bCZMVTp2nbJI+PqcX6V7/Et9psBE8virrsnSqIg/VRmklOErL10ZJtgQXZOB7qCD5Pdkc4dpXLHxLJsrxgvxl4WC2pJENt5tjKBJ+ngS4k8hqxQjk+y6ao9/0vnQRim26R/U8WNa+2S/dWWa0qn6sY2h+NJL4ygcG+LvY1z58ITbkESKngK4hfqrZMtkgKlTgb32Kg1ho/Zd8boqDdXj7zqPUQyMlHrzEepPbVOfHn+GSnOyyECZ23TP+jDyVSqcif9vfvMb3HnnnWhpafEpT8A4AmWhoXjUTZB5bkxyUSdM3cBmCgUljJ8a6q8rz3YBqVTib2Oo8YlKm6SpJEP2nKrvlvrzamkRXVO5InTKoGmMsGd5BdkE1ec506oPPprDF/FXfUXXlvjzpMxXf6OS8CTEX6a8uZLmcu7xN6W3NZTxecmQhPjL8qKSets+Pn068IlP0NYkCmHTQSQ9SYh/JpN/mOqZ1Ml5wAF6uWwIrK+IMhtQHTEU3Sjtw/0ohhVfHv9SEn+Xs5t0en2levxd8ii17KWA8x7/bDaLP/zhD/jABz7gUZyA8QTqQpN0ghCJpG4gjo76Ide8sqMiATx8hPrbotSh/jaKv4/3dVXMKgWycUC1NsvSpRnqn7S9qF4b2XOuxE53XZaXjfGwnB5/1T1b+PD4mwhgElAIiUw22Wctdf2IXacSWJlsae3xt9kvnskkC/W3MQ6Y1hZqvYnE30R0beuTWh8uecvyTOoFlMlGJXYq+b/xjfh/nVw+ybVP2BjDeahkGxwEmprM+fnc40+VjUe5TvVn+cn6A+V9KQ6dtNZIW5j0esqz5TBalALOHv+ZM2dizpw5PmUJGGdI6vHn09nkpwN/SFaSBZWfICjefJNxQFSgVWkq2eMPpLtgTjQkIeVUxcwVSRRQmzJM0BF6ajpb4k95n3J5/G08uib4ONzPJdSfAhUJF5HEMEQ1vFGMVuPxc36mfHUk3OVwP5ORxtSPXY1bpQ71T3K4nyxPnyRclRcFvo3BVNgQWB6y90rb408xzFLaanjYnEY0XOrK1OWRzdI++UiRR/dbhXKQZ93cRh1HSY18lQxn4n/ooYfioYceMqZbs2YNqlQxhwHjDvygMVnvdWnEdLprNmmYx99mQTWVU6pQf1uUejIVFUJdOsp7ih5s13wYbDy6pQCVeMiek6WT1VcS4wJlHLiSTldljpWpkkX2PJX4Uz5/xDAR9vjbEH8VROJGAVUhpcomqw9VNINOFqqxQXbdd6g/1TAuprUxlFGgagefn/OjEH/XMSUj/jb529aTD4+/WL6q/W1JuA+S6GJsSAJKX2bpKLKp5gYRrtGS1LYy1VsuRzsXKmmbMnlM8w3lcD+ZEd2UrpzwYZT1kU8lwjnU/7LLLsOHPvQhTJ8+HYcddpg2bTQRa24zBXXypSg2LhZm06QqCwOV5SHKIZPN5x7/NBbecoT6+ywzl7M/IEu1qIjGpkpYfNIg/mL/8P094lI/m9SDaUP8bQxD5TrVn/3to0xqqL+sTAaT59cVqrxcPbU6sqBrd2peleTx9xXaTvWK2RAPXf1S+rFtfSYJ9bcpi+9LSQixDYGlXONBNSKoIFtfSqG6U/Ux3TOm50WUO9Q/iuI1pqZGny4p8Zd9Jtalb/HyuDxTagpIndtU4A19ExHOxP/888/HlltuiSOOOALbb789dtxxR8yYMQMZoaYGBgaKrgVMDFAXGt1As11oTF2J4vEX81OlY9d97PHXyWArmymftGAzaVKspbYefxOhp1ijSwlXRVNVz6I3I6nniWJ0S0J0Ke9LVQpcPXYy4k95HzbmZUppGv1LpqDxZbqA+jk/XRuUO9RfR+xkxj5dfqoyKXWe1h5/KklgaWVh5jaGMlXe4jWR+LuWmfY8U45Qf5/zrmrbALXeRPmopE5nKDPl5xM2a6Iv2WwMmDYGRhvZGPE3pUlK/EdHY+OCae2jevwZbBx65UISAwdVhx2vcCb+v/71r5HJZBBFEV5//XW8/vrryrSB+E9cmAaXjWU2ibLCwKzW1AnTNIEBdI9/VZXZSGAaCjZDpRwTkk8P8+io+uRxGWz6UiVM1q4Lj0oxkUWzJFF+0pyWqXkn9fiz9CrIiL/pGaB8Hn8fBIVh//2BZ58tvm5bt7wClHR+5tMkJZOUeVxscwoJktV1JXn8fRF/HQk3XVOVKXvORoG2rU8b4i8DdVyZjC82EPutbE2VvQOlPVVpKHm5lGkDqmwqlJr426zftrLlcuZP+vkg/rlc/hPXOtkodaJaS02ylcKAJMJGV1SlSWrkq2Q4E38AuPrqqzF58mRtmq6uLpx11llJigEA3HXXXbjqqqvw9NNPY3BwEPPnz8cpp5yCL37xi8habN4cHBzE4sWLsXTpUjzxxBNYs2YN6urqMG/ePBx55JE444wzMGXKlMTybg6gLDS+LYOmScT2VH92TZbONtSfQvx1sDWElHoy5evElI6yQLjs8de9M6XPlRKuxgjVIhxF6Z7qn0TBUJXhmo5KZChjhOVF/ZxfJlNej78v4v+TnwD/+Y85L10d8h7/cpAAmWy2p/rzv6ljUlam+HcS4s8TSWoeNoYhW0LLQ/T+yepNNXfLZGPGXV0/dlWyqXv8VbJRwROBJOPfZo23JU+6OZwqW5qETWUYoqbzafS2GXOU/MRnKCSaolcmXZdHR2Pi7+NwP9kzlYwkYwEIHn8lTjjhBLS1tWnTrFmzBmeeeWaSYnDFFVfg3HPPxRFHHIF7770Xzc3N+OUvf4mvfOUruOeee7B06VJUV9Ne5d3vfjdeeeUVHHzwwbj++usxd+5crFq1Cj/96U9x8cUX45e//CUeeOAB/Nd//VcimTcHUBYa0yToa3FjcPH4q8CepxL/6mr691lVsKkP9q66NM8+C9x7L3D22Wa5TKASf4A2aY6Omg/iobaV+EwlTNYyRZNqbVYp5L5C/dNGkraikjHV8+IzMiOUqR10Yz6Neufl9EX8TeUwmIxzNvVmIwel3W0MIa7Efzx5/H1+vk7V7rYHffH56eqX0o9t67Ncof6+DK66UH+xbIp8lDJ1svkyLNuA6ojRPUO9x/KirsOUvF0MJlFUGo8/I/4mp4hPh07aBiQKkho4eMPsRIQz8f/b3/6GadOmGdPNmDEDb7zxhmsx+Nvf/oZzzz0XO++8M5YuXYqaTadhXHHFFejs7MR1112HK664AhdccAEpv/b2duy111644447xowFc+bMwX777YeNGzdiyZIlOPnkk/H3v//dWebNBVRrNVWRpxJ/HXyF+vMTBMWLTyGxrDwVXCyuVVV6kvK3vwHnneeP+LsumDKww/1s8qH0pUqZrNMg/j69HlSFK8361HkAqelsiT9VYZKlTUuBYXJSvV1Jy5FdlyGtw/1kZdoQNnGudfVwU+ujEoi/zuPvmi9FObYxmLgSf9c+noT4s+sU8EQgqcdf1D98hfrr0lDm03IQNpv8fclmM4+5tIEvj78P4i+G+rNnZflR302XjyxdOaCbZygQ562JBufP+e23336kz/Rls1lsu+22rsXgoosuAgB85StfGSP9DGdvYjPf+973MDAwQM7z05/+tDRC4POf/zwA4JFHHsHKlSsdJd58QPX4q+B7cQMKQ/2pE6ZpIqQe3OdjgrBZ3Bjx1yHp9gMRpQz1F583LSZpeCaTwLdi4tMjI1PyVHD1NrkqSTZExob483Vnkq3Ue/zTCPWXwYYUsfTsfxflUCcHhYhR64OSzqZMEaIBBPDzPXfbMZykPmR5ySAj0tQyRdjMMxSIzyf5nJ9NvfOGuaSEmOp4sK03ij5muuazrSigzm2+jRK+DZi2sun2+Iv6cxLiz85RMuljLof7UdKxtOXQx0xrmgk+xnqlIlGoPwBs3LgRN9xwA+6++2689dZbAIBtt90Whx56KE466STU19c757127VosW7YMALBo0aKi+/Pnz8fs2bOxYsUK3HnnnfjoRz9qzPOtt95CY2Oj9N7s2bPH/u7o6MBWW23lJvhmAsqkZBo4vhY3Bt7jL4PN4mazx5/lnQS2z1OIs+3n8nSIIvu8TEaatDz+lTBZy5RlqmFLlk72uaUkslENYC6gGhKSEhlTHVCNUOIzbMzL6igNhZgnFq7E39VoqhsvlM+j+pKDKptP4k9VDmUefx/zjA1BZ/0jiYebAlvjrnhdlY6iB9iQDyD55/xs+rbtPCKDTH7VO9s6RXRtXg5yTQXVgES5RoHNOixCVY+29cavMSL4/qzKizov+9zjL5tPKenKARsjmAwsXbnfIy0kIv7/+te/cPTRR+Ott95CxNXoM888g1tvvRXf/e53ccstt2DXXXd1yv+pp55CLpdDTU0N5s6dK02z4447YsWKFXjyySdJxF93GOGqVasAAPX19dhhhx2cZN6cQFXuqcpVEi8Fg+lzfmIelInQ5lN9KvBl2BhCdGmjiEb8fYFK/KkTv+vn/FSgGptKBSrJkD2n6pNiffl6T6qhzKZMSjobQu9iwZcRf6rCJMs7LaWGHwsuBg4b2JDEtEL9VXm5EHpdOt1vm7xE4v/975eO+PP3qZ/zS1I27/1j7eTD+GKS0+Udkob6U8ETgSSRHrI1TRXqz4OqGyUhOzLDctrrqM1aQjV6U8YTtVwX43hS4s+PPR8e/1Kf6i+iHPpYkvdk6ajGyPEIZ+K/Zs0a/Pd//zfa29vxrne9C3vttRdmzpw5du+JJ57Av//9b/z3f/83/vnPf47ds8Frr70GID4nQHVy/xZbbFGQNgnuuOMOAMApp5yChoYGbdrBwUEMDg6O/e7p6QEA5HI55Hx+88wzcrkcoihyljGKMsjlok1/A7lc/jcDU5KYAsE/UyhLZpMs7EoGo6ORZCHPP5/LycuMkUUuF43lqZItvgcuv+LFN34WyOWiTRN0VltnUZTZNEFkpOny7xD/L8uquD7y8soQe8wzyjIBNnnpZaeCvYMpK9bucTpVW8WhbtlsZlPa4jQsD75/qMovlE3ej2yRdKzE4yBf93G9qOsjX655XAFx/ej6h0k23pCjKlPe5up0+d9qQ5E4nsV3YHLIyiwkomy8sPyym57PJ+LrLJvNbJof5PXG5IqizKYwzAxGRnJFsoljlNKmJrB8ZfVGL9PcLmK7x2lUc2qWq6+4XsRxFedfOE4o9RHLUZhONhfL2mp0NDOm2PFrkZiO9Q++D8vK5P9neYl1xK8BIyPA9tsDHR3u4y/f13TrGZMtnuOjKAfZ3CbvH/L6KCxHPvfG+cX3R0Zy0rZS9SPxGkvH+o5cjnwdmOpTfDaTyWBkpHjNLJ57iucPm7HMG34yGdo6KEOcNz9W5O0vyqbSo+j6WHHbm9JR+qYOxWtC3Ad40lioK7Br8vcU60Mum1qfYJD1Z2o6Vd+l6LHi+wwOytMwvSF2psrHRHFbyd+HfW2K9VmVbLKxIJcr3/dVY1XUU1Q6tg4uuhdlLJh0Uj6v/HqcfH0vFaj15Uz8v/vd72J0dBT33nuvNAwfAO677z6ceOKJ+N73voerrrrKugxGpnUkfNKkSQCA7u5u6/x5rFmzBtdffz1mz56NSy65xJj+O9/5Di6++OKi62vXrsXGjRsTyZImcrkcuru7EUWR1WcQGYaGpqC9vQtATNw2bsz/ZujpqUd1NdDevhH9/cDGjZPR3l7cPgMDLVi/vg+1tXFn3bChCR0dG9HeXmgKpZQZYxYGBobR3d2HdeuGsXFjS1G53d31GB2NZYtlrUNfXxbt7YVnRAwOTsHgINDe3oX162sATMOaNe1KS+fQ0BREUR2A+ABJEcPDscyDg3FdyLr0wEAL1q3rQ1VVXB+9vZPQ1TWC9nb5pwLa27PIZqcDyEjLBIANG+oBTFHet8Hg4FT09AyhvX2DNl1PTwOqq3Nobx/E4KCqrWL5BwcbMTRUJU3T19eIzs7Bsf4wODgFa9Z0oa6uOC9Wd5lMDkND6jq2QdKxsnZtFkDbWN13dNQgl5tqbIuenkZs3FhTVCdxfxhGe/vwpnR16O0t7rsUdHfXob8/MzYO1q/PYuPGJrS39xSk27hxMtau7Qa/Y4sfj6prPT3xAyx/Hnyf6O2tx8hIhPb2vBF148YWrFvXW7DYDg62oL29FyMj+WtDQ1Owdm0Xl9+sTWXm67ezsxZ9fdVob+/H8PBUtLd3oq9PPq7YOwwNTdmkINRj3br1aG/Pa/0bNjSjo6O/4JqsPmzR3x/Phd3d1ejpieXNv3v8nvzcQ2kD2bWuruL5bt26LAYGitsemIWhoREMDo5g7doeDA1NQXf3QEGbxvl3FIwTSn10d9djeLgR7e3rx6719TWhs7Nw/u/uri2qj/7+ZoyO1mJoaHSsnA0bGtHRMTQ2NgA2J/Rumg+6sHZtFrnc9KL+0dtbmH9XV3GZHR11AOKx29PTgKqqHPr6sqiqyhX0XSpYHUURtHMkEI9BoAG9vb3o76/CunWFdcT6Tl1dXunr7a3H0FDh+BPLGRmZhsHBHNrbOwvKGxiYguHhKgA1WLWqHb29DRgebkB7e8dYmp6e4nHb0VGNvr56tLf3jV3r7m5ANpvD0FADOjo2YMOGGgwN1Ur7aW/vRmSz8jlDrLd83TRh7doBtLbmx2NPT+HcFtdRM9at60dj4yj37GSsW9eDwcHCOUXWFh0dNdiwoRYjIxGGh+vR27uxoH9Q0d1di4GB+NlsNqtsf9amTDdaty6L/v7iMcrL29lZXP+x7NXo768rWLdlZa5fn8HgYPNYGX19GakORYVYl8PD8frNL6VdXcVrmKwNYt1wYGzeXb8+i/7+RrS39wplTsXGjTmtzAMDQBTNNK7D69dXYWBgUkEZMtlYP9q4Me5H/f1NWL++WI/lkcvNwtq166VpYn/iLAwMDKCvbwSdncVr1bp1hbKp+u369bUYGKhGLjcJ7e3rNumfPWhsLCSyQ0Ot6O0d1Op2a9fG+lp7ey/6+hrQ3S2f+/g1F4jnIsYHqHDRvQrHQhU2bJhU1D96eho2rTvrtHkNDEzG2rU9GBjISMddpaK3t9ecCAmI/1/+8hdcddVVStIPAAcddBCuvPJKXHbZZU7Ev1TI5XL47Gc/i8HBQfzlL39Ba2ur8ZnzzjsPZ5111tjvnp4ebL311pgxYwZaWlrSFDcRcrkcMpmMNopCh9razNgnHIeHC38zNDcDNTVAW1sLBgZYmmK2Vl+fwfTp9WCPNzVlMHXqJIhfiOTLGBkB6uqKy2Sorq7B1KlT0NbG0hWW29wcWwPb2uI2Yjs/2tqai8ocGQHa2trG0syY0aYMTa+tzWvlMtnYO9TVZTBjRh022asKUF+fwYwZ+fpoaYnlU30xM+/xl5cJAFOnqmWyRW1tBpMm1aCtTX5GBkNzMzBlSiy3rH8w9PcDjY0Z1NbK5WtsBFpbG8fev76e1WFxXnzd6erYBknHCjO+snebMiW2vJvaorFRXm+TJgHTpuX7w+TJcRli36WAH6MM8XgpPJOFjSGe+Mtkq6kpvNbSUjjOePDPT54M1NcX9vG4/erBfzSmoSGeK6ZPL8xn5sy2Inn4vydPjmVpa2samzeam+XjiuVTW5sZ+yxna+u0gnSxHA0F13R9nApW952dQFNTLK/4njJZba+1tAB9fYV9ZniYja3i83iqqqpRX1+N6dPrUFOTQXNzTUGbsvz5caKbnxmam+O5i0/X2JjBtGmF839rK7B+fWF91NfHc0ZtbfXY883NwNSpjdJ+xGRkHitV/2CYOjXOj7/WtOnPtrY2NDbGY3l0lD2rfVUp+HYRx44sLQC0tDSjrw9Fa2RDQ+G6wd5LHN9iX6ipkc+9NTUZsLOPp01rQ1MTUF1d+GxTE6uj/HPTpgGTJmXQ1japIN2UKXHZU6bUorlZ3k/r6jJoaalFJiOfM1TvINMZZHNbY2MGra0Nkv5RB15dU41l1ifq6uL+19RUXdA/qGhpidDfn0VbW9PYmiJrf1EXGBqK21kco7y87e3F9c9kb2xEwbote89MprCMSZPUupsJUVRcRlzfbQXbDydPxqY2z89HMtkaGgrnhoEBNmcVWvdrazNoaIBW5v7+2ItrmqN6e1l95stQ9d0ZM+rQvOkVVHqsiKamVmka5jesq2tAS0skXat6euI+zWRT9Vumi7E+FverurH5jKGqKoPGxmqtbtffn6+P5mb13DdlSuH82dISbzfQjWsRLroXXwfd3fL+0dRUvO7IwPSe/n75uKtUUM/Ucyb+//nPf/CBD3zAmO4DH/gATjvtNKcyGIHWndjf3x9blXR790340pe+hPvuuw9//vOfse+++5KeqaurQ52EgWSzWSeSUEpkMhlnOeM9brEiwiZw9pshm43vZbP5fatiGoaqqgyXhsmmLtOU3+hoBlVVGaVsbI8ey0eUk08nPp/JZJXEP5MBfvIT4LvfhbRe2TvEZRW/IwN/j53yrSuzsTFWjFVtyT6E4aNPsrAnykn8rE7Z+6rA9p+p+0fhwTSy/sGQr199OhskHSuxXNmx31Gkrw8eYrooKqwPdlqvy3vy7VOYV7Fs/Bhl7yEfVxnuGfUZDuIcInsHsUxZm7J8xLL5tpL1RfHdZfnlP+dXPOYp9eECcS7U5e96LZMp7ENxuazM4nfI5fJzFuu7xbJlC8YJpT5U87iYf162wufZOS78uiD2o/hdMwXtKo4/cT0olC1/je3zZH2rujrZ+ONlp/afuH5p40W2rolzsWyNY2DEIIriMmX1JutHuv6WyWSK2q0wXeEaL4P4bHV18Zokk0217lLHcl5u8zqkR25szPDrgqo+xL6oG9/5vqHXefRlmvU70lvmivubeg7X91MGvj5065VpPOXrUt+AMv2Fskaa9A82l+Ryan0yLivDrW/ivULZVHJFUawD8vqnTDa2tcc89uJ8VHpzYbr4t+s8aat7UbmJ7Losr8I2Tb6+lwLUunJWjRsaGtDR0WFM19HRYdwvrwI70G/t2rXKvQvsQD7V4X8mnHnmmbjhhhtw++2345BDDnHKY3MF5TAZ0yEgNoeE6MpkMJ12KjskxnR4Cr+vTIdTTgF23FGfxgSb+sjlgMMPB448Ui2b78P9KAednHoq7T1MB5qJMLU9f/BMJRzIkuQAKFWfFJUmV1APB0pSTpI2lZXpUp+qA4lMeZXrcL+0+66qrlVlyg5OM+VHlYNStzLZkqSj9DVZ+xbuQS5NWzGwMhj5pPZJV9lyOeDPfwaOOSa/X16WN6VM8ZAs1dihyio+n83S9w5T5xnVs6z+k7Q7df4Q86eUqUtDLVPUjZKAMkZl6SjvkLQNdOW4wEY2ds/0OT/WHjbjT0QuV+w8MensOrlt1tByQvee1Hdl+UxEOBP/3XbbDT/84Q+N6a666irsvvvuTmUsWLAA2WwWw8PDysP7XnrpJQDAnnvuaZV3LpfD5z//eVx//fW4++67cdBBBznJuDmDMinpJkHfixtgPtWfqgzy16jEnwpf9cErIyr48Hrz5dkeaGRqK7YoUdoqbaLqG3nLfv43ddGRpZN50H0qoK4KgQw2bUUhk6b8dGNKJP4U2diJy6Ui/pSx7AsUhVw89I71SRulyZSGSsJlslGJv6lM6lwsnupfDuIPxGXKjDFUkkVN09ISe/3zh/O5lcmMlUxu13Gsui8j/jay2YAn/kmQFgm3IXUqo41vcm2Sj5q/i65oysu2r7Fyk8rG+mupTvWnEH92yKIOsrXUlE5X5r//Ddx6q75MVyQxcLB0vMFyosGZFpx66qm44YYbcMQRR+Duu+9GZ2fn2L2Ojg7ceeedOPTQQ/GHP/wBn/vc55zKaGtrw8KFCwEA999/f9H95cuXY8WKFWhubsahhx5Kznd0dBSf/vSnsXjxYtx3333Yf//9C+5/+tOfxr333usk8+YEioXZRPxtFxrTZMeUC+qESbWasmdNMOWX9D4PniyoZPPp8QfoxJ9arywkLInXRna9EiZrJgNPIpOQIt+KGWUcpEV0xTJE2BIZyhxjYwQrtcefMpZ9lsND5+EWFSCZkusqB9XgQ20DUz+yIbAixNPrS9FWsrJlRlJX4m9CVZXdODCRSd3YcSXUNsRfJ5sJ7P2TtrsL8aA+S9HHdHmJhhmf6wugNvC7GELYNVfZAODAAzF2losKVOO4Tb2xeyqPP9+fdXosZT0bHS0OyVflZ6pP0fFA1etVWLMGeP11czoXqPoaQNfBSjnHlxrOxP/EE0/EiSeeiDvuuAOHH344pk+fjpqaGtTU1GDGjBk44ogjcM899+DEE0/E8ccf7yzghRdeCAC49tprMSKYyNiBgV//+tfHTvcHgGeeeQY777wzjjvuuKJnhoeHcfzxx+Oee+7Bgw8+KI0UeOihh7By5UpnmTcX6MiCax7UQakC8/jrnqVM0nw6Gy93kknC1nJMsUr6DvW3Jf66tuCt0bxHjS/PxkhDMTaVEiLxt3lOpZi5hPoPDdFk8F1nVEOZKwHkoeqXKi+FLq9MpvQe/1KG+lNIs+wzd1RQFXmKbFTiT0lHJf4y+So91F9EEg8xAyP+SeqNV6B9ePxFqIzGLoYhk1zsPZKMf5v5w9ZB4dPLqcuPCtkYNW0dkj0nu55E92RpHnpIT/xd9Vgq8S+Fx5+F+jM9UPWMT4+/CNU72H7izwayvgbYt2naTo9yIVEg8O9+9zt897vfRWtrK6IowujoKEZHRxFFEVpbW3HFFVfgt7/9bSIBFy5ciMsuuwzPP/88jj76aDzzzDN4+eWXce655+K6667D4YcfjvPOO6/gmeuvvx4vvvgiFi9ejH/9619j10dHR3H00UdjyZIlqKmpwSmnnIL3vve9Rf/YuQEB7qCQMBfvkWnCN3n8qZARf19Knol08H+byA47OKUUoFiFZc+owBRodhCcDFTDEH+90og/7zWjKiYUjwxfhg433gjceWfxcz49/hQPG+U5XZm+iD9FtnKF+svKTKscBtl4Eec81id9zoEUpV9FdGWHXcnKMBF/VZmyvBjGQ6i/+JwLeI+/LG9b44tp7Pj0+MvyphhMdGDy6byJJlDnDxcCn5Qk+iT+Nm2QhledKhvVmaBLL9NjkxB/MdoqSZtSQ/2pegnFeG7T39Ik/qr3tDEOiX9PFDif6g8AmUwG3/jGN3DWWWfh6aefxltvvQUA2HbbbbFgwQJUVyfKfgznn38+dt99d1x11VU48MADMTw8jHnz5uGaa67Bl770JVQJbs3jjjsON910E3beeWfssssuY9d7e3vxl7/8BQCwcuXK4NX3ANNEaCL+vidz2z3+lDJLFepv++4UI4fPSctmoqYuSrpQf1vDkIs1Ok2IC7yN50XVd0WPPyXP4eFiJUNGnnwvcNTxQlEGTW1KIf6UMEWGch7ulyZsiT8fQZU28VeRhaR7uPmyqORPVR/s73J5/H2G+vv2+OvGMrWubOtTRfxlhqEkY5lvg6RjNC0SrktDJbAuhmUZbPqkiyGkFDoPlSDbthXrr7rD/bbaCvjiF4EXXlCn8U38TfXGl2mj55bL4+9q4GDpJrLH3wszr66uxt577429997bR3ZSHHbYYTjssMNIaRcuXIi1a9cWXZ8yZQqiiWi+qUBQLINiuiSKFCPBtqf6q+Tj09kQ/6Tdy6Y+eAVHlc73xGqbn6otfvlLYLfd8ouST4+/Ll0pISP+1D6kWigpXnpKfuI4oB6w6Bs2xJ+iTImQKSum94mi8h7ul2bftSX+FG+qrAxKGgoJSNo/Mhngttviz6x+/OPuRib+uVK1laxsX+OFAhfiL4JPZxo7LuMqyeF+NmXybe7bE64rj4EipypNWgTWVh6dcc4EqmyUaAz+vkmfofYPF71NF+p/8MHAvvvGxD/JupzW4X7styodBZQyqUjDMMTPWxMN5FD/b3/72+jv709TloBxCNOi4tPDrQMLe/d5uJ8L8aeAOiFRyI7JS+izjqPI3uOvKn/JEvPhfrb1wRO7SpismQx8uGwSUsQbenzkx8PmgEUKqAq+ShmkeOx4UIj/cccVXtdhoh7uJ4PsfVSh/j5BIQEqowRlLPBt1dREJ7Am2fh5q5RtxfqH62F2svx08tuG+rPrsnQUozwF4vPUeUsVKWFbtg/i70Im2bOU/Cl5qZ51iSijykE1vqhk9dGnRdlMBJ0ig62eEkVAba3+cD+TLkPtR+Ln/GTysmumeuPPGLJxrunewZfOIfZdnSODmh8wcT3+ZOJ/8cUXo6+vL01ZAiYI+IFvsrz59PhXV/sL9ZdZhX0oeaaJxGaioYSc+iRzPpX/4eFCazTF42+jMFUS8Rf/pzynssq7KGaykDrZOFAZX1wXP9tFlkFFEJIS/5NOiv+nvE+5DveTlekTVMLGe/x5I16axk+ZbDrCRjEgAcD06UBbm1p+CvFQhfqnFaqqAtXjz64ngc9Qf52cKpkp48zG4089BFAnF9MtkoBKwm2foegypjJd1ltKXir5qPJSybUt8bf1+CfRKfn0NTV6jz8lNN/G40853M8EsUxqv9KV6Wv+lEVDqvQZqgFtInv8yaH+URThj3/8I1paWpwK+tSnPuX0XMD4BNX76pP48x5/FWQTJsXSSUkH+F0sKV5OqiL1ox8BX/2qu2wsL1+n+o+M2Hv8VdfE65VipZURf+qiQ1UwqHKYFHed9zItRZWlk8lGObyNB4X426Ccof6ye77L4aHyqvP/2xqvKHJQSbiqf1C+cJHJANdco5afMp+Iv33s8XfpQ5lMefb4szIoZYoQI/B07+1CKqjEP6nHnx+fvj3huvJsnrUhibq2MuVHBaUNVLKIoOpGPj3+NrDV20rl8U9zj79u7qQaTHx6/H32XZZHpTiRfMNqj/9XLZhDRmj5QPw3H7gqV7q0lDKZoqIbsC7kqZR7/G3AFGCKx3/1aj9lUidqE1EQPf4+P+enK7eUYDLYLm6qRVj0+PNluORHtZCnCYoCytKZlCkZVAqS6b3KebhfmnXuQvxtPf5URZ6yTqiIf3W1WdHjyRrbHpCEwPJ/l4oAitARHko6G/AefxHUccWns1k/deOZB/VzfrL5zXYs88TfFdQyXYiMLk1aZeryoshnk38axF+3NlONFDKjt06GKIqJv87j74v4884VU362xJ+STlem7z3+lDKpaxhLUylOJN8gh/pnMhmsXr0auVzO+O/FF1/ETjvthCiKUFdXh1/+8pdpvkNABcJ1gnBFkj3+psWylHv8bS3HJrLArjc3A4ODbvLyeVFJrGpvKAPv8dd9zk8mg+l6pVhpReOHzaKjWihdFDNVqD+PJIf7uZJrQE/YTOkoZVGJnYhwuF8+Pf+sTzlc250ZeU3bXthv1reTElh+K0YpT/Vn4I0Yomwufdwkv+9T/U0Ravw96nqQ5HN+Ypk68EQg+ef8aA/b6kY6nYd6zZc+puofVCMNJT9X4m/KQycLxbBCWavKGervSsLFMqn1rCuz1B5/Gx3MxmA53kAm/tTT8G+++WbstddeePHFF7Htttvi4Ycfxsknn+wqX8A4hMwCqoIvC7O4x18mB0UeHux5n6H+JkOImJZC/HVgsp9/PnDGGfq0JlAnTSC/qKm8Z6OjtFB/m/5hspKXGjLiT31OtWhRwpsp+cnqtlSH+4npdCRLl45HWh7/pF5CKkRimRZsiX+aof4y2BB/qgeQ9W3VO9gSj1JFZ8hADfVn13W/TfAR6i/2a4oREaBFgAHlC/VPAsrzVLIu5muj81DaNEn/po5lk1yya6o6pKxjfF62Hn9KOkofL3WoP//Fc1dC7Hq4n06/S4v4+zh41cdYr1SQif+DDz6I1tZW5f2RkRGcfvrpOOGEE9Db24uDDjoITz/9NPbYYw8vggaML1Asg7ZEVweZx99XmWzCo1oKk8BmoqGEnPITq8kLb4LNRK2yZjM5GPk3He7Hw4ZMVgJkhiNqH1JZyF1C/WXWfJ8LpSu5BtSk0yY/Xb+kEhSZXLoyfcM0b5UafJ/l68LXHKgyRolQ9Q/R4y97nidr/D3V37q8+D5ZLuKvmuupxhxZfro0PkP9eY8/Jb+kHn+Kt9nWiMcT/yRzJTWdi8efWibVq+4K6lhWySLLj2roM9UxZfyrZEsSjcDA9viX0uNvIuy+D/ejtJVvj7/oFEl6uJ/s74kCMvFfuHAhqqvlRwKsXLkSBxxwAK699loAwPnnn4+77rpLaygImBhwVfhZOl8Ljejxt5kwKcS/qirZBOCibJoWMTbZ6dLx13mrryt8hPozZdLW48+uyZDUu5UGmAy2i4hqcaIqP7LnTCGWST/n50KuWToqkdGBuifYdF0sjyKbD6hIalrl8KB4/NmzvmRTEX8qYaN4/Nlv21B/nec6ioD16/22lS35pBJd2Xpig7RO9afIQV0PbIzGrqSTlW37jCkfUzoX77tNH09zbrMpk4o0iL+tx1+Vt826HEWl/ZxfOfb489BtI/S1nlC3QdqOv0oxxPsGmfircO+992L33XfHY489hubmZixduhSXXnopxMP9AjYf2FirXYiMDKLHn8mRRDYxbwp0SiOlPJthQw31P+ig+G+F3Y4MlRVVhnJ4/E2LZanBZLA9I0K1305sbxul1aRwqdqW6o1JAhnptPFg6vqlixEBUIfdp0X8K/lwP/Yc/78OLmRK9ayKLMj2+Mvy573NKkOcjbEhioAf/7i0Hn9WhsrY4EpoTfK7hPqr0rF7KrnENVtlOKYQf5WBIAnp5N8jjegoUzpKXzPNkaa0vJ7iA67GBt1YFq+JoLSNOP516VzWPwrxN+3xZ+XaOEVkSOtUf/abkk61Ppdjjz9La5NfJeiSvpFomH/729/G4YcfjnXr1mHnnXfGE088gaOOOsqXbAHjAJSFhjoAqYqUauIST/VXPWu7oNp4/CmEjfqsSTbq4X7bbBP/ndTjb6Po6jz+bMJPy+NfacSf/5/ah1T9yMULlHaoP6BW1mQQ20qWlw3xB+z3+OvAlHtRVtf8bMqVlZmESMvS2BL/NBQgijFKJVsU0U71Z9fZPZXxgkIS2RrAvHSDg+WZZ5Ls8beFi8dfJgO1//DPq9YDEUlC/anrMp+HDy8g9XlbB4WtlzPNuc2GlFPWNOqcSBmT/H2Tx5+qt9nolFGk9/jz5era1Ib4Nzbq86PqwbxzhQqdx78ch/tR4WOsVyqciH9HRwcOO+wwXHzxxRgdHcVxxx2Hxx9/HPPmzfMtX8A4BHVwuS40smdke/ypE6ZP4q96nl9AdPnYLCDUPf61tfHfSYm/TTi4ylPE7okef4qHx9RX+EWpkoi/7eKmIv6iImJjKDMpx0nqjKLMqUD1YOquA34P99ORlTSJP5BO3vw72BB/fryzPulrXFEMxoCa6FJD/XkPrYz4q/qubLxks0BnJ/DJTwJ77+1/zJjA5nrXUH9Zfro0vMdfhIo0q9qAya1ar8S2UY1n8T1VX4Sh9CNZOhXYs6b1lpqPS7ok7Ukx0qgirVxA7ZOuuqKOwNrKqYKNYchWb9N5/Pl2SPK1HSCvY/3ud3rZKHmJ+odunS63xz/p9gLTGjHeYU38n3jiCeyxxx645557kM1mceWVV+Kmm25CIzMpBQTA3aqdhFy77PGnTni+iL+uPNv8KRZpZl02lU2BDfGnhPqzelEpb64W20qx0orKrM2iI0vnGuqv2jpAAfU5V48jdcyb3tVnqH+5ib9rW8nkEvOj1gebT0UyYKs06dJQSICKLFAP92N5iGcV8H/bGBs6OoDp09WyUeHah3QGDlM6W6S1x1+1jvD5qU71FyEzGlP7kQ14A0aS8U+dP1z0FBsvJ7UfJYGsf7huJxPT+TK+6PQZ24gQBt8e/ySh/uwdmA6og6k++TKpThhATcKT6CU62Vj5VJ1Sl1+lOJF8w6pbX3vttTjggAPw9ttvY/r06bj33ntx1llnaZ9Zt24d5syZk0jIgPEFcaCoJglZuiTkWtzjryrTdgGx8fhTLemU5ymWY1OoP+/xT2pddfH4y96berif+LzuPV09CWlCRvypz1Gt/FSSlfREa1P+IpJ4/CkEVkQuBxx1FLBwIU0WXV6jo7FHRpYuLeLPk1SffZfaX8TrPPHn0/hU1FzJJJuPqR5Ak8dfRvxlYeFVVbHHf+pUfZlpgX8XHi7GLZZGJ7/PUH+Tx180tCU53E8lG2Xt0o0PnvgnIZ0uxF8nGwPV2aFKW4o1gWrso+RHnct0901rikt9UIl/KT3+JtkofVosk1r/OhJeqXv8WR6V4kTyDfJxXyeeeCL++Mc/Iooi7LPPPli8eDG23HJL43Ojo6N46623EgkZMP5AnSBciIwMMo8/RTZq3kk+50cN9bc1hFD3+DMSk3SSpSpPQH5Rk8lFPdyPakAS71eKlVZUYpMSf5nHn9on01byqHlR+riLYhJFwNy5wKuvmmUzyVoO4i+WkWZ+VHJdXQ1s3JjPw0ZhoshEUfqpHn8dkWHzlsoARyGJURSX19EBTJmiLjNt2BA2V0M1gy7Un1omn479TfH4U9eZUh3ux+Tz4QVMy8OtS+NK/H0aOHSk01SmjNi5gkr82Zjn4cOgxnSyUh7uZ5LNlvjbONd0Hn+fxJ+iG9noYLbPjCeQif9NN90EAKipqcGcOXPwzW9+k/TcwMCAm2QBFQlX8quCr8lc5vGnDHzKhJd0jz8/KVHJKwUUizTv8U86gdmcmOvjcD/AzWNZacTfljyqSJGr8kM53C8NqN7BFKJtkx8DGws+SNHISOmJP0WhSpIvA1Uhz+WALbcE6upoRlxbUJUyHfE3jQX2HMtDNh5tSGJVFXDHHcCHP6yWLU2wdy71Hn+q4VDVj0SyrHoHHqpQf1lbyQiUq8dfNf542ZOcfO8611EJZ9Iyfc4/VGODS35Jxh7/nG2oP9WYZlqr6uqAoSG1fD5D/anEn5KXy1pQCo+/KJuO+NvIvdl7/AFg3333RW1tLVauXEl+ZkjVuwMmLKgExYWE68pkE5yNNdI38ZeVTd0rZisbWyB06dgiw/5OAkqoP5ODKWOy+iiFx78SwORPy+NPzTPJAkv13lK96i7jjyKH7rAxF48/+/RlqQ0maZBJE9FVEbajjwYuvxz43Ofyz/qUzZVMqoi/SqEVibz4t9hvdKH+L78MHHaYvsy0wN7Ztd5koHr8qWWK4NOxv3UGZHHONEHl8Rchqw+bccxkT+rxp84fsnTUuZ6Sl42R1AXUNmDXKfmlQfxNBD2tPf6NjUB3t7pc3uNPbVMZRkfpUYKm+hQNErp0lLZKc49/0q8UiXlPNJCJfyaTwS233IK2tjarAlavXo2tttrKWrCAygRViaZYBn1O5rxlU0cAXRY3G+JPJWzUZ01y2YT6J53AKMSf3TeF+jMyWl3t3+OvS1dKMBlk/7t4/KlWbUp+aXt3WBmyay4HFFK8KFTib0I5Q/19k0kxPyphk21P8kn8VXlRPLWZTPF8rCMyLA9xHPJpTGWyfmsqMw0w+dhcSa03k2w2Hn8RqnEgawO2RvHef1mb8vnZePxdQ/1twRN/V7gSf8ozuvakEv8k0QxiXpQ2oBoCVH0wKWw9/knbAYjvNTQAa9ao7/vy+Iuh/q4yy8rUpRdJuOwdfIf6i+NFVW82/aZSnEi+QR7m22yzDaocvgdWXV2NbdiHxAM2C5RjYMmIP0Vh8e3xVz2f1uf8TAs1C/UXD+pygWoyFcsD9KH+/Kn+us/5yTw0lLortSdOBVYXFI+UeN8naU471N/Gi0MxXsiepY4FmaGIqkjyeZXa48/KSYP4i+VQ6oOfW9J6XyoJUBEU6qn+usP9WBk8dKH+5SD+DLah/hRQPP5Uw6HJi8z+TuLxpxB/WTrK2qUDPz6TGhFc28bVkEMdV7Ktg0nGPtUYRXlPF0OICqLhTwVZfVDanUL8dfKPh8P9TI4LSt5RVPrD/VyM15WgS/oG2eP/xhtvOBUwffp052cDxi+oVm3xmSTkminrpknJdjL3Sfx9TJh8vswDoVOkamvjcP+kE5jNHv/994//l70vH+pv+pyfy2JfKcRfJBpUmVSLk89Qf98ElprXHnsA/f2Fz7kSQB6qAzhdSNHoqPpcjLSIf5oQFV2KQq7qa9T+RknjSiaB4oPndAqtyeMve0YV6s9fL/U8U11tJtfidR2oHn9ZXtRxxdKxslQefzE/ytYvgB7qn/RwPyrpoeTjko7S12w8/rIySmEMtjWCi8/zf9u8q6pMHfFkBkZb2OhtqnL5vqbyllPainogMFVfp3j8xXTl8vj7mJsrRZf0DU+BPQGbKygWZsoEx9IlIdcuof66CS+TAR54APj3v0uzx98kjwi2MOnqjXn8a2v1k+zAAPD73+vLo4b6f+xjwAEH6NNQD/cTYfIUAZVDzFTEn2I8oXo9KH3S5146GShtwvD888CqVfnfNmOeQvxlz6Tt8felYLD/fbYVZSxQiD/rk75koyrtqvoQPf6meVxF9mXtqSKT5Qr1Z2DRUT4MZdTyfIT68x5/gObxTxLqLx5oBvipD0bWkuQVv4P5YRejt63H31RmUlDGMrVMF0MIJS/bNSVJO/Bl6vRBvk50Hn/q9lEq8TfVJ29sMNVDWt53FajvaVtmpeiSvhGIf0AqoFgGxXSmtDqkEeofRcBzzwGvvUbbJ6Uqkxrqb7u4UQwKURTvVzZ5/JcvBz7xCX1eVOJvkokpk5TD/WyUH2qfKxWiqNBLaENwKf2IuijJ8nNVuFSw8aqbvD6yZ02ylvNwP9/Ksu++ayK6JuJvO66o/YpCYFWKr7itQ1dvvkL9y038mcefGupvql+d1xFw8/ir0jG5Mxn5fC/KkuRwPxVh8xXqXwoy4GJg1JEdVxLug1yb5KPMp7Z6G1U22z3+1PnPRPx1aUZG8utP0s/5UT3+LE8dxDKp+ZTC4089/8ilP1eCLukbgfgHeIcNweGRZEFlJIuSj005IyPA4GDyUH+fllI+X18e/8FBvVwUeXiZdOD3+Kfl8a+EyVpGFth103Mq4u+imEVRuqH+toqEKVzaxSPhc48/T/zT3iIhwrXvqp6RebttiT97zreHhkoCVMSfqtAy0icj/ioZKjHUX3WqP5NF99u1PJ97/Jmhl7qOiJCVSSX+Sffl8waMpO1OncNdPP7Ue0m87xS4GqNU19jzvmQzlQXQw+llemySfIeH84fLqgxWrsRfBUqfZvoMS69LRyXhaYX663RKqs4EBI9/QAAZsoFPTZeEXIt7/CkKv6nM0VE74i8rkzr52r47dY9/XV38Lynxt5FJB5vP+bl4/CuJ+Ms8/raWdf46lezwSHK4H1XxsVkgRfJEgasXRaWA6lDOU/1dIfYNBqohRITM4+9zTKnIpAgd8acSKJ3HX0UmZbKlRfwp8wGg3uNPzVc2Digef5XSbuOpZQTGZOhlZekOh+WhIv4U0mk7jnni7wrXtqM+a/Nc2nMb1Yjnssb4Gnu5HPD228BDD8nLTCvUX9ePeOKf9HA/mz3+tnoJtf51Hv+//hV4801aPjay6TiHS94TDYH4B6QCG4We/zsJ8U/jVH9bj78sDTXUn8lDlY1iUMjl4kWktlaf19CQPh8qVARElEn0+KsUPRcPd6UQM1YXVMIvPifCZ6h/2jB5BPh0SZRhBts9/jrYhvr7hOscqDO4mYguxeMvy0sF175GlQ2wC/U3efwpXmRxLJvKTAO6z/mJ8CGbbai/KR07zFXlxeTzS+LxVxG2JAfL8R7AJNEDtgYTPo2pTNMYsC0zCVRjlmLso+SXpH+L4/+NN4BHHy1ORw31p85ZfB66cTA8nD9c1rfHP2m96ZxqKtlUZeZycd2//rqbPLoydelsdMhK0SV9IxD/ADJcJ2mqxTkJZB5/VZk2g9lHqD+viFAJkU2+Jo+/r1B/CmxD/auq9Kf68zC9p+53OaAi/raWdd11KhFLO9SfQgJk16mKiGnclPNwP59QRS2YoJJLzI9KPCZaqL9YB6Yy0zwwzrUOVZ/zk4FKFKkef8o40EXciB5/09ygekcK8S9FqH/SfGzTJfE0q8aZeJ36zXcKbIx4aRlCdLIxMD1kZKQ4HTVSUwTV419XJ9e7fHv8KfVGqU8xL116Pp0uohOQ170tbMaVS94TDYH4B5BBVRp113X5+fb4+1hAqKH+ujJtFhAXj78uHdvjbzrc76c/pclngu3hfqbQTxvlh2+DSpiso0ht1DA9R/X4U94zSag/FdR5QfYclfjriJ3NHn+TbOPR46/qM66yqkL9kxppGFRkUpaXbPzIPP4qiKH+pjLTDvVXtZUJ1dX0+cRHH3Uh/iL4dDqPv5if6lR/EaU63I/lwf4lWV9s5kYeFEMOlSTK0qqMW66gGoZE6OZ5HxCNgDri77KuUfS2TEZN6oeGCom/ijRT5hBqlCClT/P9yMYJo/P4A/RtPSbZqAcx2ozdierxry63AAHjB9TJxuRRUd3zTfypi6CuTObxN3kM2D3VBFeuU/2Z9/Lgg9UhVa+8AvzlL/p8qKBYhamH+9koBfz1SiL+Lh5/Vdi2ixeIPZcmgU1a10mJPzBxPP6uSBLqr8rPhZxSoZqH0/L4+wr1Hx4uTOfS96mHhonQnYciA4Uomjz+jz2WbFyxdCaPv7hm+/b4J10T2LNJib/rc0kJJ5X4+xrzNkY8F0+tzbvq8tJ5/G3IJA/TGGVjQpWOcrifzblR1O0KFOLverhf2h5/m4MYbefeStAlfSN4/APIsFFYKCFBPgcU88iIZcvS2ZAnX6f6u0yYlHxNigibrL/+dXWaF1+kl0mRiRrqbzrcD3D3+FcCRC8hlfir+gF1z6HsOVdvF7XP25Jr/jlqGRTi7+qZ5KHz+FOeT4IkXmSZXBRyLUMpQv0p8uqIP9WAa3u4n0xRZYZl0cDoMq6oBnQRbI8/xUPmw/hZVQX83/8Bv/89fVzpyKQpwitNj/94C/VXPauDzuNPyc838Xf1+FPy82V8iSL/of4UJ5HubCNKqD9VNpvD/UwQ20D3jnw63TsA/jz+thFIFFSKE8k3gsc/gAyVl0aWziW/pB5/lz3+pjJtT/VXyZZGqD9bQHTva/KqA34mXlEmBhWB9e3xd02XJlhd2MqiI/4u40VG2Hx6rpOQY1/pfHr8OzqAadPM6dJAEuKvmmNMRFeGJKH+FFDHtk+Pv6ocmRdZNl5sDvcbHga6uoAZM4rvuRIK3XkoIij9yNQP+LBvV4MaT5gpW9MYqAeayeojzVD/970vzvuZZ9zycJ13qe1J9YL7NCzr5KHIRzXMUtc+G5nT2ONfSR5/m+2BlDFJca7I5tdyEH8fqBQnkm8Ej38AGdTBZeNV90n8Xfb4mzAyEu+5Svo5P5cICFN98JO6Lk9TVEBShUglk0oufo+/rcefUneVYqWNIr8ef8AuAoLPz5X4JyHm1PHiI53PPf69vcBWW+WfLyVc+64qGkvMz4b4i3OWb+JPbSsV8afODeyebPzZeJFlHn9Vmf/8J/CTn8jvuYb6M4+/KBs10kMGnRy6g96oBjU+HcUIzZ6nrkmqtqIYc2zAnp05E9h6a/d8AHfiT0nT3k7zqpuiM5KCWibVAEh1OtnKFkX+9/ibiD/LV2XEo3j8WfSMCTYef1u9RJde9PinHervyk2oeU80BOIfQIbOqySCOgjFZ3x6/CnKjqnMkZE8QaVMdCrLJiXU33bhpXhQSu3xtwn152WjhHaa+hRv8KmEyVr0ElJlslmcKHmqQv0rxePvi/j7MPQxbLll/vlyI4lCQyHXMlDnLFdQ5VUpvjYefx+h/syIRyX+bN144onik7tt1lEezEgqzpUUY6iLAczF469KR/H48/mp1gNZ/xDTprXH38f64sP4oMMDDxR/F53aVmmH+lO3Yqny45FkTuLzSmuPv06nYu9M8fir0iTx+MtgS/zHg8efakDSIXj8AzZ72BygofvNw9fAknn8ZbA1NrBJyUT8Kd5IE8SFhkp2TO9rIv65HPCb3wBHHGGW0QRZOLoI6uf8ZM9TlNxKJ/62lnUVqO8p89T6rh/XceyL+LN9+VTF0lTmdtvR0vmGa9/V9RmX/FRhvz7rgzK2bTz+unJyOTrx14X68/OUrq1GR+N/e+8NPPlk4T1bgsXksz3V3/SeJvgk/gDtKy7seep6oDuIUXzOR6i/TAYbuBoiqesBANTX054X24rqRaaCGr3jYtj0RfxNHn9XA50p1F83DsRQfxVppnx6Uaazq+Y2E8R0Ol3MxuOf1qn+Mri0aSXokr4R9vgHkGGzaLkubkk8/mmF+gP079vK8vZpSefBT3Y6jz8zDuiU1NpaP0YYygTMH+5ns8ffxuNfCWBeQplianrORtGjyCGTIU2Pv+66azodRkbyET9i3lRPJ5Nj40ZgwwZ/stnAdQ5UzTE+PP7sOZ/EXyUHlSy4ePz5snVl6kL9qcSfefzZs2JeLmMvyeF+qnGgk6O2Vn2POq5Ejz//t0xmBuqZL6U83M8kCzUf13nXVCbLl7LeqPQUqp5jAtWIZ2MIoDoBbGSz3eNPabtsVh++Xm6Pv8o458vjL943efzTOtXfRx+vFF3SN4LHP4AM6qJlS9j4dEkmc5fP+ZnK5Ik/JXJBNcFRLKWyPCmRBLp0VI+/rwWfsiAx75tpG4KsrUyeItXvckDl8TfBpj0oefLeTv45n4oUlVyL8OXxZ8SfSnR1edXVmQ1qaSFtj7/NHM7qQHZORVJQ+x/V46+TzeTxV6UX87YJ9Wcef1kZVO+UCNvD/cQyKYYWHpMmFT5PyY/q8VfN1yYvINVIk3aofzLYC0IhzSriz9/T5edKdGVQrQkU2VR6my/YePxd1kjqHv9SHO4nzjW6dje9m+zcF1WZPErl8XcxaFPznmgIxD+ADJnCQrXOpg2bUH+bydx3qL9NvdgQf10aisffV0SCKkRYLI95/G2+TW1KxytmlTBZix5/qgGA2h7U91R5an2OUVtybSuD7l0zmVhxkxlLXI0SOkOeC973PuCFF4qvH3sscN99yfPXETsX4s+PY+ZlFvuRTw+qSjaV4mvj8Wf3VMRfRiZlJMtlj79YHuAeAaY63E8F03ua+oEt8dd5E1k76gy9aXr8dUZjKiikxwTX53TRFGIayhkQVOKfBNT+QQF13rIF00Ooe/wpMI1R9i5Ujz/FmaQC1eNPObyaavyS9UvVOwClPdzPVtcNHv+AzR5p7PHnkYSw5XLFh/vZLJYqUD3+uvxcFxAT+PZQycYbB8rh8Ze1KX+qv43Hv7q6dN+w9gHW7iJZMIEZREygLkosnFGUzTU/EUny8uHxj6K8x9/VMynCt8f/0UeBt94qvv7nPwOvvJL/ncTjn1aoPzNe+apb3bMUsgDI9/iryrU93E8X6u/D428b6s+eVx3uJwPF4MMIuQqNjXqZKIYE/l3ZfC+rN/FZynoAlC7U//jj89t/kpCBJATWNM/qiL+rx98VVGMDu07Jj2q4MuUn8/gPDxenSxLqbzrcj7rHvxSH+9lED7gYv3TvAJT2cD9R11U5RUz5jHcE4h9Ahs2i5bK4JSX+5Qz1N8mWRqg/W0BMpMik4Pn2+JsMK2yit/X4V1WprcMUcr1mjbkMn5B5/Cl93EYBc/X4J1FAKYTNJi8br48K7HA/2TMUhVFlEPS56Iunu7NyqPvGddCRSRMBVOUnevzFvJi8LqAqajbEXwVWxzLiL3tWZiRlcy2vpLp6/F0NwUkO93NBQ0P+b6rxQpauqorm8eefp5IBFfGnRo7YoKkp/3cSj7+rbiTLi0dtLXDSSbRwehko0XpUUI0NNoYAynxhS+Rs9/hT6oNyuB/V46/zlrseZqeajyj1RolcperYtmPdJJuLx/8nPwH+/nd1+kpxIvlGIP4BZFAHVxLl0CfxV+VvIw811J/PXyZbmqH+OlDSUD3MFMiUWpnHH4gXW6YIUj7fVFWlXyRM1uhZs/Sy+4a4oLouTipQFyXfxJ+ivKmuu+69pUTm2OzxN5WRxh5/GfGXRYS4lKnzoLvMWyqPv2hEkIFS3wMDhcSS5Wfj8fdxuJ8qb1kfr60tJAhUj7/JI03tn7Yefx4uHn9+TZDlRxnL/Nqi8/iLZZTL469K8+EPA5/4RLGcLvA574p5zZxZuaH+qjZw0SmTQObx93mqv889/qo0VB1B5ohJQvypHn+xTJ3H31eoPyU6Q/T49/fHh/mqkHSsVyoC8Q8gg2oBtZkgeCQZZDLiT7Ec+/L462S3De2kgg/j15Evk9HB54JPCfXnJ3ybz/npiL8P8uQbzOMvEn8fRJeaBpCH+ts8TwE1DHObbYAPfrAwHbU+TOOU6vFn13W/2TNJvYQ8ZAqGzZ5tHlQvsqshhLrH37UP9fcX7iFXyUv1+DN5ZNB5/G3IZF1dYUiwq8ffdT2wOdxPLDdJW6nypox5Rvx9efwpbUU1SlDyVyGJJ9wFlCglQP0VGcq48hn5RzU26DzB4jVfa6KNx5+6rvFQ9e9//jNfPiP+sn7u0+NP8b6zvEx9k68Pk3ONhypvnx5/6pwq1hs/T29OCMQ/gAwXpdEGSQjb6GjhZAnQFhUq8TdNjOyeysqYRqg/m+x06SjnAPj0+FP3+FdVxQucaY8/Dx3xF6MqKon4u4RyU+VP4vH3BRuP/7vfDTzwgL0slHEqM85RCYp4vVQef/G9XAlK0lB/WX6ix1+WryuZ3LCheA85lSwAdh5/do9K/GUeKp8ef5WRxgQTaeYhykb1+FP7B9Wgxof66zz+Yn6U9QCge/xVXkcXJFlffBpgVEYr2RpJIf4+z/qhGhtksqngQsJVsvF/q4i/bJxS2l01Ri+4IJ9HUo+/q44t06FEB4UKVIeezNhQjj3+MojGrUD8AwIMsBlcujBBFZISf+ZBMlkjbRYMJo/s4DBdeh6uof6UskyTPyWNzwWfYnll+7EZWdMps1SPP59WVr7s8J60wepe9PhTQPVuJCH+5fD4m57TpdMRu7Q8/r6If12dOtTfdY+/C6GvFI+/ivjLiAzF46+rN93hfuxZU5mM+Pvy+Lt6Vn0e7ieDSjZKPzJ5kW08/pT1APAf6q+Cr3kg7XlX5fFXycJDZTDxJZvKoGZ6jqXzWW8Mtnv8KVD176Gh+H+mF6jSvfYaMGVK/LeONLscACzToVyiB0xtIRrRVXoxkN6p/qoy+XrjDbSbEwLxDyCD6qnw6UGmYnQ0f/iObnKSWSN1i3pNDfDmm0Bbmz6dbiJMKwKCEupPJeI+Q/woHv+amvwef9WhfTYef9OzXV2053xC9PiLhoCkoCpCslD/JIqU2KZJtrIk9Z6x/5kxiUpQVLKIf/uKlJARf9YuPCml1oeoNOrm5qQEULfH37XdBwdjIi2C6iW09fiLdSX7W5UeiH/bEH/2yVL2rJiXa73ZHO7Hg+rxp8pGHVd8qD/v8TdtPVKd+SLCxuPvc95NkpdPj78IG4+/CJ9b/lTjimqApsy7SdeNujq9x9/VEKLSU4aH83O+yuPPdAZG/HWk2afHn7rHnxK5KjOs6iJ4yu3x97mdb7wgEP8AMqhKgUj8qRN0Uo9/fX0+H1W5tsQ/ioBtt9WnM1lC0wz1t9njr8un1KH+zOOfzcZGAJVHnq/PJJ/z6+igye8TsgXVt9fC1eOfRBaxflWGPops1DEvS8fLPzzs1+NfXQ1861tm77Dqmoj6+uI9/nfdFXu+qXsneYgKnGpu9uH55cmEL+LPZONBJeFMJpmhRgadx5/quU7i8Vcp2i6wORPC9J4yGcSvYzz6aPw/NXJE5kVmcwPv8TeNK98ef1U/oiJNsp4kL1ePv6zv+ib+VCMedfz5boP6evs9/i5GWQbmXWbvImsrcfyVKtTf9nC/8eDxV+nivK6iCvX3OU4rEYH4B5Bha+W3RVLin8ap/hTZTPvo0wr1pxhiSu3xpyxIuVze419VpSb+Mo8/ZZGQtdXAgPk53xAXVOohOlRQxwvz1oqyUUAhY7LxTu3nSYg/Q1VV7EFO8jk/8XomA+yxh7+2amzMfwecgRkCXNpGVOBU85qroULm8aeSPwoobcB++/L4U4m/TI4oys9ZlDL5EFJxbnNR2u+7L/7fZ6j/ddcVX2NzMsM+++Tz40EldryXn/0ti1YR/066x19mIEgylkXjbRJvs08CK3tPGbGjtJVP4s/KMJVpU4/UedwEVmZDg97j72qgoxJ/WTqR+Kv6mqytXNYNPi/T8+K4oujDQOk8/tRoZD6dKtTft4Om0hCIfwAZNuE0Lnv8k0BG/FUeCRuPP8XCaaqXtEL92WRnMkpUqsefHe5H9fhTQ/1VxiiAtjh+5zt5UnbaaZNx5ZXmZ2SIokKr/shI/K4+iT9VDp+h/qKSUC6PP0NVVbx/knq4nwxUr5jN8zxkfZwpmy57/GXEnxrqT4HM4+8aPUCFTRuIHn/V83weNsYREcxYSW0r3pMkkgqXUP9Fi+L/bUL9TW01fXrxNarR3ob4ix5/mWxie1I+7wqUL9TfFWkTf9Ua6Ur8kxg4RKjIpW8DAVW2ujr7Pf6UtqMQf9Uef3H8UT3+KrnEelMZhvi8fvhDeYQk1eMvnrdj8viX+lR/isd/oiMQ/wAybKxqm5vHX+fRF+uN+o4Ub75NqL8qP2YF9bG4yqy9MmWQ9/iLIbS87DyS7PFnCzvl+aefzntnly+vxsqVbpqa6PEXrfk+QGkzRnrEa5RxoCJKfH6yg/VsxljSfseIf5JQf4DubRZBGTuybSqyU99dib8u1J8Htd1lHn/2vG1eMsjekUomATuPP98+YlvZGHbEOqd6/EVS4epJBPx6/GVQzVFUj78sP3GPv0hm+L7GZGbbwExy2Bzu5zPUP8mc5dNYRqkPqqy+z/pxJfSqdL7agD1XX6/3+LsaQkzEf9GifN4m4q/ylqfp8X/+eaCzs/hZsQ10cx/lHfixnhTU/iHWW9jjHxBggOsefyqSEH/ekmeS0cbjT0lH8fhTLKWqvHX5Urz5pjJ9HsYoKrUqZVDc489OvBXh6vGXGRv4/3UYGsofxJYk/FHm8ad+HYICat+Vhfqz532Um6T/UGUwefxZqD9l8bcxBCRR9EQZRQWH9/izcqiyUUP9xedtCKDJ46+SNwlsiD91HmeKJ3t3l/qIIrlxy9Xj7zqnUD3+snB6ynuKof4MVAOSzousMlTz2wEYBgfzZ/ao8gbUe9or2ePv61nKvMBA9fj7PJSZOpZd0yVFQ4P9Hn8KVG3AzwmdnXSPv6wuRCONjcFYNl74aLnhYfkXaEQnko74l9rj77Kusd+bo8ffs/8pYCKDalUrl8efso9eprjqyuQVcopXnWJlpMIkG1uYqLLp8pGFzrqAYokWPf42e/yTEn+K0swT/9HRjLMylLbHn9pezKshXktSrmmPP7UMH4Y32z3+KtmSePxN/Urm8WfKJkWhF0EN9ffh+eX3+FO85dT2pDzn0+MvjkedLCJyOTvir/P42xIKPi3Vcy32N5t29xnqz67bevw3biwm/iwvHqU63M9ljKryyWT8WCBkbVBJh/vJynRdh6gRJtS8TjsN2G03vcdfZUAyweTxB4D164HZs4vTiYa3pKH+sv5hOtxvZERO/KkOLPEddFELgB/iLdOtZDKGUP8YweMfQEYayoMvpBXqz090KnlNipzvQ3MY2IRNlY0ampUElD3+/OF+uj3+Ylsl2eNvE+rPE38Vobr3XuC22/T5iB5/tjj57PeUvBjpEa+l6fH34cnXpeP/zmbzxJ/ynuXw+LMIFx5JQv1FYuc71J//SgLv8XfJiwobMinz+KvAe/yThvpTZAPyCmU2W55Qf7G/uRh8eFDa3jSuVB5/meFZRvxV/YAa6m/T1jr49jxTQWkD34f7JSHXPj3+vtfMrbeOD1y13eNPAYX4r1snbytZmDzVmeRiMJblpSL+YptS9UnV2OMNDUkh226okk1810D8AwI0oCos4sBXTRCuHjZTmTqiK05evjz+OkuoOLFS35Hi8Te1B9Xj75P4mxRyMdS/tlYd6s8jyR5/21B/Jo/KKLJuHbB2rVkG0ZJerlD/chzuR4HNmFeVyTz+qqiDSvD460L9qfvGdfnp2tPF488OomRlqTz+FGODTh7Tsyql0fVwP5stEmLeLh7/6mrgxhsL79kSCr4Maqi/K/FXhfrLZKKOKyBvfFF5/MUybTz+MiLjeyxT+5oJSaJkZM9QPP4AParFp4PCldBTDQTJoi7y5ZR6jz8Qe/xVof4un/OjruUUj78u1J/q8ad+mQDwQ7ypxD94/GME4h9ARiXv8XcNUfRB/GWhiqr7ttEGFOKfJBoB8H+oj89Qf152Wbi0rAxZfdh4/AcHzXv8R0bMlmpxQS1nqD9FkbIpl89PRRZcPPm6dDxE4s8O9/PhmbSVjUr8VYf7DQ7q907K5HUN9aeCV6T4slyMCLK8mVGBh00buB7uV1PjRvxtQ/2ZQlldDfz1r8V5JTG6UeYwG8MQD9U6Sh1Xur6bNNQ/icefGR5MUBmXxfXFFVGUIRu3KKB6/GXPUTz+rlC1lU+DqytY32V9J5eT6x+u45RC/Bctoh/up9IpxXGa1OPPOyjYV43E/F08/qqx59vjT6kPsY+PjobD/QICtHBVHkoRGsfKPP30vIKmUvCp8lANBKY80wr15/f4qzA8LFeyxXzS9PjLiL/r5/woi4SqTP5/HSh7/KnE3/VwP6qiSvX4UzwtVIj1S91fp4KLgUBF/GV5u4x3WZkquIb6s98bN9obhNI+1Z8n/qrD/VyJ/+BgHOUj9nEVmZTVrevhfrJ2SNvjL8sr7cP9dEZSHZISfxG84dxHqL+M6PoM9adGlSX1NvOgzvUUGage/1IQf1ePPxWueiXV4y8bp5QyVX2IzQlHHgmcfz79cL8kHn+xflUef5fD/VSghvqnvcefIlvw+AcEGEBd7Evh8ZcRu6qq+BukbAKQ5WXj8ZcpuipZdBNiWqH+fLmydEuXAg8/DEyapJYN8OvxHxqKlXoGVf9g38TOZPx8zk9sU1mZmYx9qH9cx8WVm7bHn6KAUscLU27Ea0k8/j4P96OWqTI28If7yRRLioc/bY+/7nN+AwOFxkoXgqJ6Twq5lkH0+MsMC659aGgo/oa2WCeqsyJk9VFXVzzPmDz+UZSPNOLfgQIZ8deRSd7jLyIJwbI53M811J8yR6lIuG7OUnn8+fVH5/GXwcbjn4T420QJmuDLw01tA+rcJtMD0n5PqoEgDfAefxnSDPVXpXMl/lTZdKH+DJTD/XTlyUL90z7cj/pJYbG/BeIfEGAA1VORNvGXKVyuof7UcnSy2RzuZ6Mom9K++KI+1P/884E33iitx39wMFbKecg8C4z4A/4/5ycrc2QkJgoUpbnQ4y+vm7Q9/lTiTwEjPeK1JMRf5X23lY065sV0fGif7an+KtnK5fFPk/hTCaBYJh8pxMiESCqSevxZ1A+DbAuAqj4OPRQ46aTCdCrwHn/RyEh9B1Wov6rdRSVfzIuiQMtQisP9VB5/U7SHLHKLpSmlx1/lqZWlE6HymPsiorJ8XEP9ZfWhInaUMe9TD7AxpLrOu0mjLniPv0yvTfNwP1U62Yn4Km85dasTD0qof9I9/raH+6miPW1ANViK0M3TExmB+AeQUSl7/FXWagr5sPX4s4lZl86kVCXx8Ojq4+ab5YdcMei2PPDw7fHnib+qraqrC4l/KT7nV1vrEuqv3uNvWrBUHn9fxJ+VYYIs1B+ghziLKNfhfjxUh/tRQ5IpJIAaguu6x58Rsw0bkhN/1Rwjjq0kHn/XvESwOUL0vsv2aarqI5ulKcjiPZnHnzoOXE717+2Nf4tRF2mH+rseYqgay5TPA5rIpcsef7F+KcQ/Sag/xbCSxCNNnY9c81KRSeqnzioh1D9tjz+Tjff4q4g/1WjMQ7UeiN5l2VimevxFvYRqzE7yOT+R+Kv6rI3H/z//kZdlC1fiPzIS9vgHBGiRVHnwBUqIFKBXBPm/Ven4ydVE/HULplhv1EWNsgB2danzNHn6GWzayyQP8+YxJCH+4vkEpST+LAIhl0u2x19cUCsp1J8CVfi4yvtuW4arMsj32WzWbo+/qr+l6fGXEYrRUWDaNGDlyuR7/FVzM5Xoitdke/x9En+Zx18mh03+qrbiQ/1d9/jLvKEU4s9H+/B5VVKovziuZH3R1WDCYOvxZ/1NjDIQkSTUXya/TVSZC6iEmAoKsZOd8yMr0/dZRFQDh2vkmSuoHn+ZXpdkPXAJ9ad6/KmyUQ/3MxF/2Tyqegedx7+pyQ/xlulWlPoIof4BAQakTfypJIBK/GWwWWCHh/Mk1uTRp3r8fS1yUQTstBOw997qxYFKJmwWfJP8osdfBlGpU+Xpk/izUH/K8+Kp/jL5hoftQ/19e/ypfUl1uJ+rx19Hwm1lc43y0R3uZ1LwZWdKUCIbVKCQMVl9sD7Jf4rQ1eOvak8ZuaYgTY8/2w6kO9TTFqqQbyBPOKIo2R5/6jYEIK/kH3oocPjhhe9JjZyTwXeov+jJVxnxfLS9zuOv2l4gtimFTMrql2ow8Wlw1T3vIpsIWTSazIuchPi79lOqJz+Jx18VYWJ61sbj72IIMR3ux6DSY8vxOT/bw/1U5zKxd6Cc6p9kHjSVaQL/ladA/AMCNKBaQH0Tf4qFnEo+bPZG8XtOqR5/qnWWApNsO+2UPx1bhupqoKGhUE4ZWN1RQg5Niqe4x1/VVuJntWQYGnIn/iJGR2O5bEP9dWF75T7cj5VBSeNK/GUQ+4nqvWxIlZi/rEwxykA83E8VdSDz+MvOlEjT4y8Dq7e6unxfSkL80wr1V3n8mby2YB5/kYQngUwRZbLxHn/XPf5RVDiXsvx18zPzKra2FpPwtEP9bYg/n04X6u/D488Il8zjz/JlENOpSKKINA73M5VJhYys67ynOsiM7LL1mXdgMKTt8Zf1D5khlSqbDUztI/P482cOMbgaQirpcD/xGuUMCMrhfrpzmUTvu8qA7rO/UbezMJxwQv65QPwDAjRIe4+/DKoFxDXUn0JMGYaHaXtvbTz+Krlk0JUpnp4vS1dTA0ydai6HeVwoSk9DQ3wYmQqUUH+20JrKYpZoBptPVCXx+I+O5he16upIqpRVyuF+VOLvGmIpS0PZ42/j8XeB6PHv788bwUSyQAn1T+J5ohB/WT7Mu8qTUVeCopqDkhB/ZnTTefxdwOZg12gEGWpr9QeE8tuKXAhsLgcceCDQ3l6Yr86Y+s9/ArffXvyeSUP9KXOY6+GPKiOe+CnVJB5/meFQdlYNxeMvg8pZQD3cz5fBVYZ4fSx8uK6uuO9S8hd1AEBuGBIN6CqUItRffC/ZO9isa6YydeA9/rW1xeu5azh9uQ73o0A2f7gc7ufD45/EACrCdo//mjX552TjvdTbT0qNQPwDyLBZ7F0Gjm+PvwyyhUaXlurxZzKaPBC+JhT+PXSh/jzxV5XNFC+d8sxgIv6yw/1k5TU2Ft6jkh2KZ0TVPyjEf3Q0PlSKLXxxmcUv4erxF/etqpB2qH+SMDtKqL9rXi5lsrqS7R+WzR8qpaVcHn+d90QFqgfWlfjzRs+09vhTPf6UNjARf+bxd93jz4x4M2YU5ysDrziL75k01J8asu7i8VeF+mezydqeKf8s1N+Xx58KWV4y+Ske0SRreNz3C19E1ncpZch0GZXHnxLqL4tGoOATnyi+RjWk2uhjVGQy+rVT5vFXEX+XtjYRfz4SSXbuC9XjTz3Tigcl1J+yx18334pziM7j70sftiX+7NBV1eF+Seaa8YBA/APISBIeLANF0U7i8ZfJSjl1noFfME1hnTrik0aov0j8ZaipicNMTWCLSF2d+YTVSZNi76oKlM/5MeJvOgtAhI4M82XoiL9JaR4eBmbOBDo69GUm8fhTkHaov6ydXEm478P9KOlE4s/qmOrxp3jYKHkBZjKmGv+8x5/JU4mh/qx+Rc+163pg6/GnlCFTRFk98qH+si8JUOZmqgGagZ9HZfXm6ulyNbzriC4l1D+bTc/jLzvcj70DZfxRQM1L5jF39fzKICO6FIM7Na+ke/xdyORbbxVfo46XJB5/VV9oaIi/CqECk83k8ZeNUx+h/vy85OtwP9d1g8/rzTeBpUvjv2X1x7epzlgtRg2pPP4mvdkGtof79fTE/8v2+Ps0SFQqAvEPIEM2INIeILJvOycJ9bexMPOTiUnJE/d/8khC/FWghvrvuqu5HKaQUYg/xeNPOdW/qckcGSA+l2SPPzXUv78f2GGH+KT1uMxkof6yPf4+Pf5U4i+OF9l3snUHpInliqG65Tjcj43N6upC4sxDRfxdPP46UqQj/gMD8vmBzS+8PK4KXBqh/qLHX5zDXOe1tPb4m0L9o6hYwTfN3Qy2xJ9XnMU28B1SrYIYUaXy+PP9SNXHq6r8evxlxJ/lyyAbV5QyZWlUxgYRKi+sS1i1DHEUodnjT4Fsf3wSj79rv2RfFuIh09t8E38VTDqKzOPPn7PC4GrwSXq4n8sef1WfFK/rPuf39NPApz6l1gP5NcY21F9Wb7L+6wqb85OAPPGXhfrb5jUeEYh/ABmUE9uTQDZByAhKklB/PoRVlRcDP+GalDxdvYiKg82iRvX4y9Jls8C115rLsPH4U/b4U0L9m5rsJ30dGebLkW0JoIb6r1kD7LwzsG5d/Ft1roDr5/yoFu60Q/1VHn9KGLGOhPMQy3z0UeCJJ/R56aCKMmhqAvr65Omoof4Uj79qjjHV28BAHCkjguXny+NPIf6sDBNkHn/Z3EwhzSLSONVfFy4tevz5Mk1zt5gXD53Bh68rMZy+VB4liodbFuovG8u+Pf6yUH++DVn+aYb6y0iuyiPq4gmXwbfHXyTXqs/5ydZaX8SfkSgeKr1Ndv6Azz3+gDkqUfT4M92AQvwpkM0LbP6kEH+KfiozxLoaJdi8CMTzOb/VUUzHyjQd7kfVc3yG+lPLjKK8vqAi/r4iESoVgfgHkKHyXPkClfgnCfUXr+sWmV12AZ591pxucLBYRh58vdl6SZKE+lPh0+MvEkoZCc/l/If6m2QcHaWd6r96NbDlloXheCqPv4m0iKH+vj3+rAwTZHvsZMSfuqfW9XC/55/PH6rDpxPLUZFwHnyZzc15D6trqL+sDNmWBhUpcvX4z55d7PGnIEmoPwUyj78I2dxMATOEpHm4H/+ePOEQia5p7taBMl8C8jYohcefB5X466JaknyS0OTxr6oqnrfFdNT+RjHiqeSXzbsyD6YrqHv86XkVXpPNRTIDgewdXE+x7+4uvkZ12FAjMG0MLS4ef+oef9dQf9anxD3+aXv8RZgMW5Mmqec1fg4xefxL7TG3OdWffbWJGWIoXGKiIRD/ADJ8En/mgeFRCo+/Dc4/H/jGN9Rl8jLqSCyl3mw9KGL0RRJviK3HX2dNFxfySZPkJNwn8RffXbbwU0P9V68GZs2K2yK2IkdePf7lCPWXeVpkxF+231e2gFM94SJ0/cYEXZnNzep0pfD4mzy//f1qj/9vflOo+FMPsEw71J9XLJnxSnzOdT3o74+fSzPUXxYRxTxbfJmuxgtAPrfxmD49/l/m8R9vxJ/Nh3x+tu9g8viztYXdE9OpxpELGVO1gYr4+9zjL86pslP9qXnJ9viXMtQ/l4s9/lSHjWuov2r7hgwm4s/Lw4gfdY8/BTriPzysJ/6yU/0pxJ/JK0K8pju8sqUlnrMoxN+Hx5/JRl3zdLA5P4nJ/e9/x3qoWB+2BwWORwTiH0BGEiVJBNUqmMTjT4GKPEVRHPL9kY8UXqPIKKbjFeT6evmipLK2Jwn1pxoSbDz+JmVXJJSysDvZHn8ZKPvTgOK6U3n8qaH+M2cC8+YBr7yi/sayy+F+NpZwn8RfpXCJyqDYVjKFUVYu9XA/Wb+xUfJU2wtE4i/KUC6P//LlcZ/TefzFz/lRT/i3CfWnkE5dP2IKMkW5p6AUHn9+HuJD/UUFnxrqL4Npq8KLL8rTUb3lXV3A44+7yQbQ9/hTQ/2T7PFn657M48/WHzZvM6O2SHqSOB4oBkGA7vFPYmiXGSIr5XA/W6LL5Bb1hiQe/1Lt8WdbxBjxF8eyz1B/1qcGBwsjqSiH+8mQxuF+XV1xtGOpPf5UQ40ONof7sT773HPAokUh1D8gQAvZwkuxMsqgCs2RkYVyEH+bdLySKUvHeyq22QZ4++3iPJISfxkoIdRAvu4oxF/cT62TC5BHCFD3+IvyqhQkse11Hn/THvauLmDKFGDhQuCuu8yn+o+MqBct0eM/Our3c35UqLwGYr9pbAQ2bMj/1hF/l8P9KMRfVTc6YwNP/MU8VMS/FB7/u+6K82DjX5SDP9xPdTihCq6h/n198dizgYxMAO7EP6nHX9ZWOuLP+ivz+PP1kSTU34TGxvh/2acXKWG6d9wB7LOPOwmiPEf1+FM/D6hCY2PsGWbEX+XxHxjI9ysxnU/ir/P4y/Znp0kEamsL112VYYhCmpMc7ieLbDCByS2eAi/T21TEnyKbDCr9xhSVyPrulCnxNgWbUH8KVMYjwJ74q+Az1J/f+jA8LD/PhZVJ8fjb6uLz5gEvvEBPryrT1uO/fn3cB0zE/7bb4rQTCeOG+N911104+OCD0draisbGRuyxxx649tprkaOcRiXBqlWrcNppp2GbbbZBXV0dttlmG5x22ml45513PEs+ceC68MomESrxlx0gVapQf1OZDLwCrDJesHfYdtv4sykibOXnF32Z54ztXaOATfwU4r/11nLDBUNfX2F7yTz+sj3+lHCvlpb891d5UIg/1ePf2xsTycMOA+6+O4NJk+Sn+g8Px/KecQZw4onyvGQef1Mbs7bwHepPSScSf9X+S8oef0BuADPJRvWy8GXy/c011J89q5ON6vEfHQUWLwY6O+PQSTb+VXOW7J4J1FB/cW6gEn8+L0YmqKH+pndhhhCXw/1UeYvvqTKMikRXRjx05digvj5uf8qp/rLymLFYJp8tkob6J/X4NzXFcysjGLKwe5H4y0L9XYm/OEZV8lNP9ffRPxhk21QoUSiyQ/tUHn/KPnoXDzcj/CLxp+ptgL9tL6xNTVGJLN3kyXrir9paYoLJ48/Gs6ytXIk/kMzjz8bCZz4DPPaY/FneYKnTT2znhv33B/7+d3r6Sy4pvmYTns903LVr4z5gCvXfY484+nMiYVwQ/yuuuAKHHXYY6uvrce+99+If//gHDj74YHzlK1/BRz7yEYxYug1eeOEFvPvd78af/vQnXH311XjppZdw9dVX49Zbb8Wuu+6KF5KanyYoXE9xloE6UJOE+ruSIlnosm4iM3m+eAV5/nzgoYeK0yTx+LMFjMfatUBbG+0d2HUK8Z8zJw4/ffll+X3Ru6AK9ReJv+okWR4tLfIThNMg/tXVsdyNjTmtx//NN/ULIE+S2YIo81SwscDeJe1QfxlsPP6qsHs+jQiqx58a6s/anJeRkp/MW+HT49/ZCVx3Xfx/a6tagWRz4EUXAffcU3xfJ5vrqf464q/qI/yp/nwZSUL9GxrU22hMzzJPOg/x3WVnWDCPv1imi1ePgkwmnodNp/qrxjHrU5MnF153IZ1JQv1PPx3YccdkHv+mprjtMhm1x7++Pu5TvMdfDPWXjSOXrUK2e/x9ORVksumiVXTPUj3+VK+6y9cLVB5/aqi/DDbpeIiEXgU+XVeXmvh3d7uNPZ1+SvH4U/Ri3x5/ltfxx8fnHMnAj3kfcybLY5ttgBUr6M8tXlx8zUZnZ2Nt3bq4fU1c4rOfjdfyiYSKJ/5/+9vfcO6552LnnXfG0qVLsWDBAsybNw9XXHEFTj31VNx222244ooryPmNjIzgmGOOwfr167FkyRIcc8wx2H777XHMMcdgyZIlWL9+PY499lhrY8LmAFn4lgyyCVmEjcefckhMklB/ERs2FCvHSUL9eeI/b16cnidYTH6bE3X5RX/KlOJv6b72GjB3rvp5GerqgP/5H32aLbYAbrkF+OY3i+/19BSHXas+rdPQUKjcNDQUKw8iGhvl2wyoof6UU/0Z8QcY8Zd7/Bnx7+6O618GtqB2duYXF1mbvv56LBczImSzNOIvEnURLGzPdOo8Q1NTscefSvwpYy8t4r/llsAnPpFPx4Ma6s+2eJjKpHj8168HOjrif62tas84y6+5udhIx6Dag+4a6q9qK934U/VFlSHY1HddPP6sHbq7YwOgCSriL1PwZfBpDDCd6q9aW5iRUyQfInTbYxhURhrZgZ5i//jhD4Htt09O/Hm5ZB5/lp/K45801N/1cD+RECfx+NtuU9GhEvb42xJ/yjrkWr+szKlTzUQtk8nrCSri7/oVCRWhZ1s6dMSfejAe1UgjjlFdqD+DKsLIdsybwOSdObP4az8qDA/LI05tPP5sLqaG+sv06/GOiif+F110EQDgK1/5CmqEHnn22WcDAL73ve9hgHg6xB/+8Ae89NJL2HvvvfG+972v4N5+++2HffbZBy+++CJuuumm5MKPY8gUN9nCS5kIZFboJMRftoC4fooGKC6zr6+YwCYN9effYfvtgQ98oDCNah8hxeM/ZUrxQrdyZfypMApYGTU1wKpV+rTZbLx4yZTnFSti6y0PFfGfORNYsCD/m3l7TGVTjEhJPP4bNuS9Si0twMBARkn8o0j/zWAW6v+97xVaqcV3+Oc/4/+33x546y26x1/W7jwWLQKuvDK24FM9/rxhRRUiqttvz4MS6i+mUymfurD71lbgd7+T5ydTVmR1K4uQaWkp9Byp3lNG/Nvb46iYyZPjsSgjb7p31ckF0L8NTyXXzc2Fbc/XIR/qLxIxmWJs8rjxHn8mm65/8qee9/QkI/4+vyQA0NYY06n+qrWFbWtSGRYBvTLO57lmjbwfMa8ng8owRP06hGre4qM0VJ/zY1B5/Kmh/qpwcoqBkXqqv0/YEH/+HWSGWdmWuVIQf9fD/WRwXV9YH29tjY2uKjAHBStHRfyZLLrfMqgIfW1tfODr1lvn07lGl4ht9a9/AT//eXE6sY5UZ1hQ2l0cM7IDX12giuTkweqpqyv+R+ETOt0ZUIf6i21AMSSNN1Q08V+7di2WLVsGAFi0aFHR/fnz52P27Nno6enBnXfeScrz5ptvVuYHAAcddBAAbPbEf1M1FMDV4j5zZqwI80jq8U8z1F8WDqtatKII+OIXCz3+sjT8xHrCCfGnRHjYhvqvXp3/XNTUqcUWyXfeib3zYhlifiedlN96wBRNmVf9Zz/L/63aI71qVXGZqoN2pk0rjC6gEH8VXEL9dZ9fY+0wdy7wn/9USRVZpgzqTmTmF8rnn4//l7Xp22/nlfKvfS1WkinE3xTC39EBnHMO8NRTctlEyPb4l+JwP1EuinKlUpDq6grLkeUny7+9vZgYbbVVYQiiqj7Edli/Pm7TJ56I7915J3DoocXlUg5vlMkFFPcPVWSASNhUdSse2sm/Dx/qz0PlETN5SHiPP1O2dQpvXV1+bpCF38rQ2SlPR/2SgOqAKxGUNKZT/TMZ4Fe/Ap58svA52XkmQOGc09UVz/8msK+ViJg9OzZMMaiiWmTbMihnSjCIHn8xkobNuZlMPG9NmeLf4+8r1J9CYHt6gH/8gyab+Dk/FfEXo3JkHv+ZM4tDtVXRQCJknxo0zcUbN8YyUDz+1C1nIlRbPESwPs6ImmqNX7Ei7xQZGcnrBhSDoCi/rK10Hv977sk7fZIc7icao557Ll5vTKB4/FUQ56077oj/UaBb53XjKZeLz1v68pfj34yAi4YC28P9pk+PnSwyj7/ITQLxLzGeeuop5HI51NTUYK4ibnnHHXcEADwprpoKPL7p+zjsuaT5TQSMjACnnhr/PTgI3H47sGxZ8eBy3dO51VYxERXLdN3jL5sofO7DsyH+7L0YIZgypdjIIU56730vcMghxSGWNtb2F14AdtklX6aoaMtI+BZbFLfDyy8Dl18e/71uXfz/GWcUphkdBc4+O39fBVmZOo84D5H424SVrVkTW/kZTKf6r1gRH2KzZIk+3wMOiDBjRk6pEDBPRC4XE2ZxcYii2KoMAC+9pH6ft98Gdt89/rulBfjxj+mn+qvyXL8+zpO1LQWyPf4+D/dTeVRcPP6qMnfcMf8ZNSYDpR/JCLa49eGFF+IzOkRssUXhgZ3M23TJJfmvOLD5gXnGokit7PCeIBXxnzatMDzyhRfidxch89TKwBP//v7COVfmmQLUof4m4s/mdF421XkSQOH5H1SP/4svxp9jZbjttniuo3r8t9qqkBDbnCE8MFC4tlVXF3pEN24svJ/JxITgV78qbB9G/EXvJe/RXL0amDVLLgff73XEXzRuUTz+qjpURZjw66nM48+PedZ2ooHR9bA1WZk6j794rsBpp9E+sca33d13A5deWpwmyR5/MTpDNj/Png385z9y+UQ5xLmgo4NmVHvwwUJZ29ry6xyDT4//hg20cz1YH29tBf78Z+DYY+X588R/zz3jg+WoxF+EzMEie881a+K6ffllYL/94ms+T/UH9IcuM8jmcurXC2QGpHvvNT/HnuUh9vGmJuDzny/e6//WW/HXcZ5+Gth11/x9UdeyDfU/+OB4iyVlj39ra7y1dSLt/rb42mLp8dprrwEAZsyYgayCFW2xadSxtDr09fWhfRMrm6VYLVl+q1evRn9/PyYpVprBwUEMcqt5zyaWnMvlnL80UAq8/XYO55zTsuk7ufFo7O6OJ7/+/ngCv//+eN/sSScVhhk+8QRw5pmR4O3L4NOfLiyjowPI5fIjfe+9ga9/PTMW4gTESs3cuYXpqqqAX/86g0cfzad7+WXg4osLy6ypyeCsswrD8Z99FgAK03V0FMsWh3YVlnnvvYXp1qwB/vu/C/OqqgKuvjqDTQEjY4i7UwbDwznkcsB//zfwqU9lCsLsV64sLBMA5s7N4OMfzyvOGzeySahQtj/+MVP0qZOhofiU0a22imWcOhW45ZZMwaT59NPA2WcXvsMeewCf/WymQAFsbga++MU43cEHA888k8HSpYXKW39/LNuqVbx8xXX70kvA1VcXltnUBPzud5mxcHYAePXV4vqYNAk455wMpk2Lf+dyseIgphsYKC739deB//3ffLkNDcBDDxWme/xx4JRTIlx8cQY9PbGyfOyxGRx7bFSgTK5fny/zE5/I4aCDOvD+98/Cpz9dKMfy5XE///zn47o64IC4vXbaqTDNSSdFuPpq4P77M6iujhenr32tkLw89VTsEe7rA264IS6nrg64/PIMfv3rfLpcrrg+qquL6wOI2+qUUyJ87GPAN74BzJ9fmG7jxuK8mpuBK67IjEWArF8P7LtvVLQwVldncM45eSXxueeAgw4qTDdnDnDWWRksX56/9vrrAJApmB+rqoAHH8zLxhZwUbaqKuDHP87gT3+Kf//nP8CnPlUs2x57AOefn8GcOfHvxx4DLrqoON0bb+TLjKJ4vPzxj8Xp+vvz6V54AfjFL4rTLFwIHH98BrffHv+Ol6IMjjsuhyeeyIzNcwceGPe51tb4Pbfaqvg9AaC5OYNPfSquhzffLB7HALDXXsCZZ+bnhn/8A/j0p4vT1dUBS5Zk8Oqr8e/BQXmZLS3x+JsxIybXu++ez6umBvjTn+I5LZPBWH089xxw4IERcrkcoigaa9dp04DzzssoCemGDUAURaitBa67LoNly+IxJBvvADBpUgZf/GKs/P/nP/L3BIC1a/Nt9eyzwC238Omy+OlPI5xxRoTFizNjRCU+1bu4zHe/G/jc5+L6iKJ4HpOlq6kpHn9r1gDHHpsv+/3vB044IYO//CX+/e9/A7femr9fXZ3Byy/HbX3UUXkP/pNPxp6uPfYofN8ZMzL4whfiNmtvB444Ql4ffX2F9fGhDxWn23prYPHiDJj69MILwB13FKerrY3H3223xb9V9VFfn8HnPpcnpGy9jeeKLHK5HLbbDrjyyvw8s3p1Xrbm5gx+/vO4fu68M4PTT8+Tvn/8o7Be8/Vd2Aay9baqCrjrrsyY8XpgIK5nMV1NDfDd72bw29/Gv9euBe65J4N586KxtNls4ZwVyxDP38w/xSK8PvWpQlLV3x8VjJW4zmK9Z5NPCh0dwJ57Fr9na2s8Dtja8e9/A+97X2G6TAbo7S2UTbbeVlcDF16YGYsaBNjXRSIhyqIwr4EB4IEHYi9sNhuvM6eeGuGiiwp1oyeeAM44o1iHuu66DB54IH+NX2/zsmXwla/kjTx9ffHXkMR0q1YVyvbaa8C3vhWhuRl4/fUsdtwxwvHHFxsgnnoKuPzyWLYTTwQuuSSLyZNzuOyyDK6/Pp9udLS4zGy2sMz169kcWFjGCy8Ut8FXvhKPA2bQqq4GfvvbTEFE3iuvABdcUJjfq68WzzFPPw3w+u7atcAxxxSni8/5yb9DTU2si4h9V1y/+XWP4Z//LBx/Z52VwXPPoSjdW28V1xu/3jK5Jk3Kp/vyl4H3vz+Ll16KsN128bwxONiCzs64zIcfjo0055wTG21OP73Q2fPoo0B1deE7DA0Vv0NfXzx+9t03wllnxXk89lhhuq6u2MjAZJs7NzY4UM9KKieo3DMTRT52aaSDyy+/HBdccAHmzp2LV5nmIuC0007D//t//w+HHHII7r77bm1+77zzDrbaaisA8aGB+++/f1Gaxx57DPvuu+9Y+i1Ec94mXHTRRbj44ouLrr/88stoFjeIVxCGhnJYubIXLS0tBcaUxsYIGzZkNh16EiGbjRUHHtksMHmySMSAjRsL09XVAZMmFabr7S3eK93YGBVYrKMI6OoqNj1OmRIVLJ5DQ8CGDYXp4kOyCsvs788U7T2rr4+KvFTd3ZmiAd3cHBVYEEdHgZ4euVm0pSUasxDK3qG2Nn5XHsPDxfU7aVJUYAVV1Ud8Im1hnYjvIKuPXC5Ox0NWH4ODcd3xaGqKD7njDRUDA4VpMpm4rXhEUVwmP8vU1MT58ZDVR0NDVLRoy/qbrNyenkyBZTubjeujtzczVi9RVNymfN/N5XLo7u5GNjsFuVyh4bGmhn2CKsLoaFwX7NReHqzvDg3lPQFi362piduB7TUE5P1N1laydgBiJaulJV8nfX2ZAmNOXV1U5D2T9bempqjIEyu2law/ArHBaHAwf7GmJq4v0aMhtpWs3WV9lx93PLq68v1NNmcBcRvwXjZxvDPw/U2VF1A4v9XVxW2Vzcbtns3G41GsX1ndAsXjT5z/GPj5TTbeGfj6kPUhIDZE9PbmCxHro6srg7q6OBNWH6zdoygeJ5MnT0Y2m9XOlUB+3hfrQ5z/GMT5fvLkSBoVwteH2P9zOYyN/d7e/FwpGwcsPd/fVG2lGn9im/H9TZz/YiNcPLfy9aHqb+L4U40DfvzZ9F1x7QaK60NcuxnEvsv3N95LqRp/o6PxvZaWqKjdZfN8/J6F67xsvQWK10hZf5P1XZYX/75iXlVVhZEdVVXxc2JetbU5DA11jY0VwH3eBeRzg7hGUtdbWX3I1lumK7L3bGmJivQ7WX+Tvaesv8n0O1l/k+l3U6dGm+7FhF9cM4Di+hgZifuW63orG3/iekutD6C4TcW8AJW+W7jeqt5BXG+B4vlelpds/Ml0Rdn4E8c7UNzfcrlYtthYmENPTw9aWlrQ2hq3M2v/kZHi/iHO94CKm8RrR01N3qsv4yaq+b7S0dvbi3nz5qG7uxstmtC4ivb4VzLOO+88nHXWWWO/e3p6sPXWW2PGjBnaCi834q0TGW0URRpQnVotQhaOmDaosilsQEXw+Q7UvKjvoPLCpYlKalPx/XVtmsvlkMmUfqwwUPsbBRNh/FH7LjU/n5gI9euah2yclGOuNIH1H2o/2tznShHlqA+f8LnOu+aVy+Wwdm1xFGs52t0nKnX+s+mzlbre+l7PyrE+UsHaSzVO0kAl14ct6ol7sSua+DMCrTuxv3/TBuLJhM1JPCFX5dnPbUjW5VlXV4c6iXsim82WhSTYIJPJjAs5AwLKjTBWAgLMCOMkIICGMFYCAswI48Qe1Lqq6BplB/qtXbtWuXdh1abvj6kO/+PR1NSEtk3mndXi0adCfrNmzVLu7w8ICAgICAgICAgICAgIGC+oaOK/YMECZLNZDA8PKw/ve+mllwAAe+65JynPvfbaq+C5pPkFBAQEBAQEBAQEBAQEBFQyKpr4t7W1YeHChQCA+++/v+j+8uXLsWLFCjQ3N+PQQw8l5Xnccccp8wOA++67ryBdQEBAQEBAQEBAQEBAQMB4RkUTfwC48MILAQDXXnstRoSjF6+66ioAwNe//vWCsPxnnnkGO++8M4477riiZ0488UTMmzcPjz/+OB555JGCe4888ggee+wxzJ8/HyeeeGIarxMQEBAQEBAQEBAQEBAQUFJUPPFfuHAhLrvsMjz//PM4+uij8cwzz+Dll1/Gueeei+uuuw6HH344zjvvvIJnrr/+erz44otYvHgx/vWvfxXcq6mpwZIlS9Da2opjjjkGS5cuxZtvvomlS5fimGOOQWtrKxYvXoxq2bedAgICAgICAgICAgICAgLGGSqe+APA+eefjzvuuAMDAwM48MADsfvuu+Puu+/GNddcgz//+c9FJP24447D9OnTccABB2CXXXYpyu9d73oXnn32WRx55JE4/fTTMX/+fJx++uk48sgj8eyzz+Jd73pXqV4tICAgICAgICAgICAgICBVZKIoisotxERAT08PJk+ejO7u7oLPBlYacrkc2tvb0dbWFj6TERCgQRgrAQFmhHESEEBDGCsBAWaEceIGKg8NNRoQEBAQEBAQEBAQEBAQMIERiH9AQEBAQEBAQEBAQEBAwARGIP4BAQEBAQEBAQEBAQEBARMYgfgHBAQEBAQEBAQEBAQEBExgBOIfEBAQEBAQEBAQEBAQEDCBEYh/QEBAQEBAQEBAQEBAQMAERiD+AQEBAQEBAQEBAQEBAQETGIH4BwQEBAQEBAQEBAQEBARMYATiHxAQEBAQEBAQEBAQEBAwgRGIf0BAQEBAQEBAQEBAQEDABEZ1uQWYKIiiCADQ09NTZkn0yOVy6O3tRX19PbLZYPcJCFAhjJWAADPCOAkIoCGMlYAAM8I4cQPjn4yPqhCIvyf09vYCALbeeusySxIQEBAQEBAQEBAQEBCwOaG3txeTJ09W3s9EJtNAAAm5XA7vvPMOmpubkclkyi2OEj09Pdh6663xn//8By0tLeUWJyCgYhHGSkCAGWGcBATQEMZKQIAZYZy4IYoi9Pb2Ysstt9RGSgSPvydks1nMnj273GKQ0dLSEgZUQAABYawEBJgRxklAAA1hrAQEmBHGiT10nn6GsHkiICAgICAgICAgICAgIGACIxD/gICAgICAgICAgICAgIAJjED8NzPU1dXhwgsvRF1dXblFCQioaISxEhBgRhgnAQE0hLESEGBGGCfpIhzuFxAQEBAQEBAQEBAQEBAwgRE8/gEBAQEBAQEBAQEBAQEBExiB+AcEBAQEBAQEBAQEBAQETGAE4h8QEBAQEBAQEBAQEBAQMIERiH9AQEBAQMBmgEceeQTz589HJpPBm2++WW5xAgIqEmGcBAQETFQE4r8Z4a677sLBBx+M1tZWNDY2Yo899sC1116LXC5XbtECArzh17/+NTKZjPbfP//5T+mzjz/+OD7ykY9gxowZaGhowC677IJLL70Ug4OD2jJXrVqF0047Ddtssw3q6uqwzTbb4LTTTsM777yTwhsGBNhhYGAAZ599Ng444AC8/PLL5OdKPR4GBwdx2WWXYZdddkFDQwNmzJiBj3zkI3j88cfJMgcEuMJ2nCxbtsy41tx6663K55cvX45PfvKT2GKLLVBfX4+5c+fi61//Orq7u7Xldnd34xvf+AZ22GEH1NfXY4sttsAnP/lJLF++3PaVAwKs8fbbb+OSSy7Bfvvth6lTp6KmpgYzZ87E4YcfjsWLF2ufDWtKBSAK2Czw3e9+NwIQHXHEEdFTTz0VLV++PPrGN74RAYiOPPLIaHh4uNwiBgR4wa9+9auooaEhmj9/vvLfiy++WPTcjTfeGFVVVUX77LNP9Ne//jV69dVXoyuvvDKqrq6O9txzz6i3t1da3vPPPx9NmzYtmjVrVrR48eLo9ddfjxYvXhzNnDkzmjZtWvT888+n/coBAUq8+uqr0bx586Jtt902uueeeyIAEYDojTfe0D5X6vHQ29sb7bnnnlF1dXV05ZVXRq+++mr017/+Ndpnn32iqqqq6MYbb0xaFQEBSriMkwcffDCqrq7WrjX33Xef8lm2Tt11113R66+/Hl1//fVRU1NTNGfOnOidd96RPvfOO+9Ec+bMiZqamqLrr78+ev3116O77rormj9/ftTQ0BA9+OCDHmojIECOZcuWRdXV1VFdXV30zW9+M3ryySejV155Jbr55puj//qv/4oARCeeeGI0Ojpa9GxYUyoDgfhvBvjrX/8aAYh23nnnaGhoqODeqaeeGgGILr300jJJFxDgF7/61a+ihQsXWj3z6quvRnV1dVFbW1vU2dlZcO+yyy6LAET/8z//U/Tc8PBwtOOOO0YAor///e8F9x5++OEIQLTTTjsFw1pA2fCnP/0p+sIXvjCmVFEITTnGw2c/+9kIQHTZZZcVXO/s7Iza2tqiurq66LXXXiO+dUCAHVzGyYMPPhhtu+221mV1dnZG06dPj+rr64v69I033hgBiA466CDpswcddFAEoIi0vPbaa1FdXV00ffr0qKury1qmgAAKbrnllghA9KMf/ajo3sqVK6Pm5uYIQPTzn/+84F5YUyoHgfhvBjjwwAMjANFPf/rTonsvvfRSBCBqaWmJ+vv7yyBdQIBfuBD/U045JQIQnXPOOUX3urq6orq6uiibzUZvvfVWwb0bbrghAhDtvffe0nz32WefCED0u9/9zkqegABfGBkZKfhNITSlHg9vvvlmlM1mo7q6OilpOffcc5WKYUCAD7iME1fi/+1vfzsCEB1//PFF90ZHR6Mtt9wyAhA9/PDDBfeYE2fLLbeUelRPOOGE4MgJSBW33HJLVFVVFXV3d0vvf/zjH5carsKaUjkIe/wnONauXYtly5YBABYtWlR0f/78+Zg9ezZ6enpw5513lli6gIDyY3R0FEuXLgUgHyOTJ0/GnnvuiVwuV7R/7eabb1Y+BwAHHXQQAOCmm27yKXJAABlVVVVW6csxHpYsWYJcLocFCxZg8uTJyueWLFmC0dFRq/cJCKDAdpwkgW6cZLNZHHjggQCKxwl77gMf+ACy2WL1Paw3AWnjQx/6EDo6OtDS0iK9P3v2bABAR0fH2LWwplQWAvGf4HjqqaeQy+VQU1ODuXPnStPsuOOOAIAnn3yylKIFBKSG3t5efPvb38Z73/tetLW1YauttsKiRYvws5/9DENDQwVpX375ZXR1dQHIjwURqjHCDoixfS4goFJRjvFAfa6zsxOvvvqq6RUCAkqG4eFh/PCHP8S+++6LLbbYAltssQX2339/fP/730dfX19R+g0bNuD5558HkN44ef755zEwMOD2QgEBGtTU1ChJPxAfwgcA7373u8euhTWlshCI/wTHa6+9BgCYMWOG1EIMAFtssUVB2oCA8Y5nnnkGjz76KC6++GIsW7YMN9xwA6ZMmYIvfOEL2H///dHZ2TmWlu/3s2bNkuYnGyN9fX1ob28nPbd69Wr09/cne6mAgBKgHOOB5aN6jr8e1qmASsI777yD//u//8PZZ5+N++67DzfffDN22WUXfOMb38Duu++ON954oyD9G2+8MfYlJZvxxf82PZfL5YrKDQhIGyMjI7j33nsBAF/60pfGroc1pbJQXW4BAtJFT08PAKChoUGZZtKkSQBg/IRMQMB4wM4774wrr7wSZ599dsG1RYsW4cMf/jBuu+02nHLKKbjlllsA5MdIVVUVampqpHnKxgh7DlCPL/Yce5b/HRBQiSjHeDCtU1VVVairq8Pg4GBYpwIqBrNnz8aFF16ICy64oGCs7L///qirq8OPf/xjHHvssXjqqaeQyWQA2I0Tsa+bxok4vgICSonrr78eq1evxhe+8AXsueeeY9fDmlJZCB7/gICACYW99tqrgPTzuPDCCwEAt956K1555ZVSihUQEBAQMIGwww474KKLLpKSmQsuuABVVVV45plncN9995VBuoCA0uHVV1/F1772Ney77774wQ9+UG5xAjQIxH+Cg+3F0e33YuExsgMwAgImEt7znveMHeL097//HUB+jIyOjmJ4eFj6nGyM8PvcVOOLDz0L4ytgPKAc48G0To2OjmJwcLDouYCASsXMmTPHDjpjaw1gN07Evm4aJ2G9CSgHVq1ahUMOOQQ77LAD7rzzTtTX1xfcD2tKZSEQ/wkOdqDf2rVrx/aViWCHcagO/wsImCiorq7G9OnTAeRPneX7/erVq6XPycZIU1MT2traSM/NmjUrhPkHjAuUYzywfFTP8dfDOhUwXsD2EfMnnG+//fZjYf8244v/bXoum81iu+22cxc8IICId955B4sWLUJbWxvuv/9+KYkOa0plIRD/CY4FCxYgm81ieHhYeYDFSy+9BAAFe3ICAsYjBgYGcPvtt2PDhg3S+yMjI1i3bh0AYMqUKQCAefPmjS1WbCyIUI2Rvfbay+m5gIBKRTnGA/W5KVOmYIcddjC+Q0BAKXD77bePrScyMHLB1hoAaGxsxC677AIgvXGyyy67BENzQOp46623cMABB6CtrQ333Xcfpk6dKk0X1pTKQiD+ExxtbW1YuHAhAOD+++8vur98+XKsWLECzc3NOPTQQ0stXkCAV6xZswZHHnmk8vN5zz333Ng3W/fZZx8A8SEvH/3oRwHIx0h3dzeefPJJZLNZHHPMMQX3jjvuOOVzAMb2drJ0AQGVjnKMh2OOOQbZbBZPP/209KAl9txHP/rRkn5vPSBAhyOPPBK333679N7atWuxYsUKAMC+++5bcE83TnK5HB544IGCdOJzy5Ytk0ZwhvUmoFR45ZVX8P73vx9z587FnXfeiaamprF7zz77bAGfCGtKhSEKmPBYtmxZBCDaZZddouHh4YJ7p556agQg+va3v10m6QIC/OGNN96IAEQnn3yy9P7RRx8dAYgOOeSQguuvvPJKVFtbG7W1tUVdXV0F9y677LIIQHTKKacU5Tc0NBTNmzcvAhD9/e9/L7j397//PQIQzZ8/v2jcBQSUCwAiANEbb7yhTFOO8fCZz3wmAhBdfvnlBdc7Ozujtra2qLa2Nnr11Vct3jQgwB2UcQIg+uAHPxjlcrmie2eccUYEINppp52ikZGRgnsdHR3RtGnTovr6+uj1118vuHfjjTdGAKIDDzxQWuYHP/jBCED0+9//vuD6a6+9FtXV1UXTpk2LOjs7aS8ZEOCAf//739GsWbOio446Ktq4cWPR/QcffDAS6WVYUyoHgfhvJmAD64gjjoiefvrpaPny5dE555wTAYgOP/zwQEwCJgTefvvtKJPJRACiT33qU9Ff//rX6M0334weffTR6OMf/3gEINp5552jVatWFT17ww03RNlsNtp3332jhx9+OHrttdeiK6+8Mqquro4WLFgQ9fT0SMt87rnnotbW1mjWrFnRkiVLojfeeCNasmRJNGvWrKi1tTV67rnn0n7tgAAt2tvbo1WrVkWrVq0aIzRPPPHE2DUZSj0eenp6ogULFkTV1dXRlVdeGb322mvRww8/HO2zzz5RNpuNbrjhBm/1ERAgg+04qaqqigBEH/rQh6L77rsveuONN6Jnnnkm+upXvxoBiGbPnh298MIL0rLuv//+qL6+Ppo/f3509913R6+//np0/fXXR01NTdF2220XrVy5UvrcypUro+222y5qamqKrr/++uj111+P7r777mj+/PlRfX19dP/993utk4AAHs8991w0ffr0CED0nve8J1qwYEHRP0bURYQ1pTIQiP9mhDvuuCNatGhRNHny5GjSpEnRbrvtFl1zzTVF1uiAgPGM5cuXRxdeeGG03377Ra2trVFVVVU0ZcqU6H3ve1901VVXRRs2bFA+++ijj0Yf/vCHo2nTpkV1dXXRjjvuGF188cXRwMCAtswVK1ZEp556ajR79uyotrY2mj17dnTqqadGK1as8P16AQHW2HbbbceIjOyfCqUeDwMDA9G3v/3taMcdd4zq6uqi1tbW6Mgjj4weeeQRp/cOCLCB7ThZsWJF9N3vfjc68MADo7a2tqi6ujpqbm6O9thjj+iiiy6K1q9fry3vxRdfjE488cRo5syZUW1tbbT99ttHZ511ltFj39nZGZ199tnRnDlzotra2mjmzJnRiSeeqDQyBAT4wtVXX60dI6Z1Jawp5UcmiqLIz6aBgICAgICAgICAgICAgICASkM43C8gICAgICAgICAgICAgYAIjEP+AgICAgICAgICAgICAgAmMQPwDAgICAgICAgICAgICAiYwAvEPCAgICAgICAgICAgICJjACMQ/ICAgICAgICAgICAgIGACIxD/gICAgICAgICAgICAgIAJjED8AwICAgICAgICAgICAgImMALxDwgICAgICAgICAgICAiYwAjEPyAgICAgICAgICAgICBgAiMQ/4CAgICAgICAgICAgICACYxA/AMCAgICAhxw6aWXIpPJjP379a9/XRY5Nm7cWCDHdttt5yXfiy66qCLeLyAgICAgICA5AvEPCAgICJhw6OjowEUXXYQ999wTkydPRm1tLbbYYgvsscceOOmkk/D//t//w0svvZSojDPPPBOrVq3Cxz72MU9Su6G+vh6rVq3CE0884TXfr33ta8b3u+yyy9Da2ooHHnjAa9k+8eabbxYYMPh/y5YtK0grGjt8G1OouO+++9Da2orvfOc7JS03ICAgIGDiIhD/gICAgIAJhRdeeAG77LILfvCDH+DII4/Efffdh9deew0PPPAAzjjjDDz11FM47bTTcOyxxyYqp7GxEbNmzUJDQ4Mnyd0xa9YszJgxw2ueTU1Nxvf7/e9/j87OTixdutRr2T6x9dZbFxlGnnjiCaxatQrve9/7CtIyY8fZZ58NANh3332xatUqPPnkkyWV+ZZbbkFnZyduvPHGkpYbEBAQEDBxUV1uAQICAgICAnzi1FNPxerVq/F///d/OP744wvu7bTTTjjkkEOw++67l0m6iYWvf/3r+NnPfobPfOYz5RZFiaqqKsyaNQsbN24cuzZjxgzMmjWrKG1TU9PYPwCora2Vpksbp5xyCp5++ml8/vOfL3nZAQEBAQETE4H4BwQEBARMGHR3d+ORRx4BABx22GHSNLNmzcLxxx+P++67r5SiTUicfPLJOPnkk8stxoTDggUL8Nhjj5VbjICAgICACYQQ6h8QEBAQMGGQy+XG/l65cqUy3be+9S0sWbJEeq+/vx+XX345dtttNzQ2NqKhoQE77rgjPvOZz+COO+4oKEPEww8/jA9+8INobm5GS0sLjjjiCCxfvlyZ/s0338TnPvc5bLvttqitrcWMGTNw+OGH4+6771Y+869//QtHHXUUpk6disbGRrz3ve/Fb37zG2X66dOnK/eqn3zyyQV72d98801lPjyWLVtW8BxP/h9++OGieytWrMDHP/5xTJ8+HQ0NDXjve9+LO+64Q1svn/zkJ9HW1ob6+nrMmzcP3/rWt9Df31/Wvfc8Ojo6cN5552HnnXdGQ0MDJk+ejP322w+/+MUvMDo6WpD2f/7nf4rOFrjzzjuxcOFCTJ48ueC67v1UZxDw/9ra2opkXbFiBb785S9j7ty5qK+vR2trKw466CDpGDjooIOK+sQvf/lL7Lrrrqivr8fMmTPx+c9/Hr29vV7rMyAgICAgXQTiHxAQEBAwYTB16lRsueWWAIAvfOELWLNmjTTdtGnTMH/+/KLr7e3t2HfffXHRRRfh+OOPxz/+8Q88/fTT+NKXvoSlS5fiQx/6EG677TZpnn/9619x6aWX4oorrsDTTz+Nb33rW7jrrruwaNEi9PX1FaV/+OGHsdtuu+HWW2/F5Zdfjueffx5/+MMf0NnZiUMPPRRXXHFF0TPLli3Dvvvui7/97W+4+uqr8fzzz+NnP/sZ/vKXv+DSSy+VyvXCCy8oD/675pprsGrVKsyePVt6X4X3ve99WLVqFX74wx8W3dt7770L7q1btw4nnHACPvGJT+DJJ5/Eb3/7W7zxxhv48Ic/jKeeekoq73vf+14sXrwY559/Pl544QUsWbIEHR0d+NCHPjSWrhx77xleeeUV7L777rj22mvx5S9/Gc8//zz+9re/YbfddsOpp56KD3/4wxgaGhpL/4Mf/ACrVq3CvvvuCwC46aabcOWVV+Kyyy7DP//5T1xyySVjaU0HNX7sYx/DqlWrCv4tX758bEsCO5+A4dFHH8Wuu+6KxYsX45JLLsFLL72Eu+++G1OnTsWxxx6Lz33ucwXpb7755oI+8Z3vfAfPPvssbrrpJjz22GM45JBD8POf/xwnnXRSskoMCAgICCgtooCAgICAgAmEn/3sZxGACEDU0NAQfeITn4iWLFkS9fT0GJ897LDDIgDR9773vf+/vfuPibKO4wD+PpDz0AkeN6dIdYoOKaOCyB9tgnPZylUsZe2MGRBZjZNZzcLNP/APY1p/tJvDjA0PA4LNytmW/ZiLFaCr9GLDkdLGj0uBIiXr9Nydd5/+YM/tHp7n8VcYdHu/tvvD7+f7+3mmfu++z/fRxD766CMBIIcPH1alFxcXCwCxWq3i8/lUsfXr1wsAaWhoUKWPjo7K3LlzBYCcOHFCFfP7/ZKamipxcXHyww8/RNKvXLkiaWlpAkCOHDmiKhMKhSQ7O1sAiN1u1/S9r6/PMCYiYrfbBYD09fVpYsr43G63JuZ2uwWAFBcXG8YASEdHhyrmcrkEgJSVlWnK5eTkCABxuVyaWEFBQaTOW6XMgdE4o1VVVQkAyc/P18SuXbsmWVlZAkCam5s18aKiIgEgb775piaWn58vACQtLU38fr8qlpGREZkno+tVVVWlO9cbN24UAPLYY49JOByOpP/555+SmpoqAOT48eOqMqFQSFatWiUApKamRlOnck+sXbtWlR4MBmXOnDkCQLxer6YcERFNTfzFn4iIYsorr7yCmpoapKSkwO/3o6mpCRs2bIDNZsOaNWuwb98+/PXXX5pyHo8HX3zxBRISEvDqq69q4oWFhZg/fz4SEhJ0233uuecwc+ZMVdry5csBAJ2dnar0uro6/Pbbb1i5ciVWrFihilksFpSUlCAcDmPfvn2R9I8//hjnz59HWloannnmGVWZuLg4OJ1O40mZREuWLNGcnm80L21tbfB4PDCbzSgrK9PUVVFRMSF9Wrp0qeogv/Gf6upqw7JHjhxBV1dX5KyI8V5//XUAwN69ezE6Oqpbx+bNm2GxWFRpZ8+e1czTeC+//DJ27typSnO73WhubsacOXPQ0NAAk8kUidXV1WFoaAjLli2L7DZQxMXFYevWrQCAXbt2GT7C8uKLL6r+PG3aNDz88MMAxh47ISKi/wcu/ImIKOaUl5fj119/RWNjIwoLCzF79mwEg0G0trbC6XRi0aJFmi37X3/9NQAgMzMTs2bN0tSZkJCA8+fPq7abR1u8eLEmLSUlBQA0C0ClrdzcXN260tPTAQAdHR2RtG+//RYAIouu8e69917d9Ml2K/OijDEzM1PzJQowcWM8evQoOjs7DT96X/wooq9d9CJb8dBDD8FsNuPq1av47rvvdOu43XHMnz9f9dx/T08PKioqYDKZUF9fr3kDgdLXZcuW6danpA8NDaGrq0s3z61cPyIimrp4qj8REcWkGTNmoKioCEVFRQiFQujo6EBLSwsOHjwYee68u7sbdrsdADAwMABg7FVvt8Nms2nSpk0b+2d2/GFvXq8XAPDBBx/gwIEDmnJK/ugDCs+dO3fd/k3Ga+duht68KLsmxs/LfzVGu91+3YMBlYWtHuU+0TtEDxh7faDNZsPQ0FAk73i3e49FCwQCcDgcuHz5Ml577TWsW7fulvs6d+5cVd4HH3xQk+dWrh8REU1dXPgTEVHMi4+PR15eHvLy8rBt2zbk5uZidHQUzc3N2L59+4S0offr7404nU6Ul5ffUp0icsvt3MidqFNxO/NyJ/szFdzOnIz31ltv4aeffkJ2drbuQZATZSL6SkREk49b/YmIKKZUV1fj+++/N4ynp6fD4XAAgOr1dcov/yMjI3e0f9FtiQgWL15s+Fm0aFGkjHLKulH/hoeHDduLj48HYPwL7R9//HFb45ho/2aM/xXl2hm9MSIUCuHChQuqvBPt888/h8vlwsyZM9HS0gKz2XxbfY1Ov1N9JSKiqYELfyIiiim1tbXXfUc8gMjBatFbrh9//HEAwJkzZ3TfUe73+/HEE0+gtrb2X/dRacvotW0igrVr12Lbtm2RtPz8fADAqVOndMv8/PPPhu0lJycD0H8me2hoCFeuXLm5jt9hyhjPnj2r+wrE643xv6Jcux9//FH3QLzOzk4EAgFYLBbk5eVNePuDg4MoKSkBMHaAYEZGhipeX18fmTulr0ZfhCn3X2pqKrKysia8r0RENHVw4U9ERDHnww8/xKVLl3RjPp8Phw8fhslkwrPPPhtJz8nJwZNPPolgMIj9+/drytXX1+Orr75Cdnb2v+5fWVkZ5s2bhxMnTuD48eOaeFNTE44dO4bVq1dH0goLC5GWlobBwUF89tlnqvzhcBg1NTWG7SUlJWHhwoW4fPkyzpw5o4rpnTEwWVatWoWcnBwEAgHdfu3du3cSeqVWUFCA+++/H7///juam5s18ffeew8AsGXLFlit1gltOxwOY9OmTZEzKkpLSzV5SktLIzs4lPvs5MmTaG9v19TlcrkAADt27EBcHP9LSEQUy/i3PBERxRSTyYT+/n6sWLECbrcb3d3dOHfuHDweD2pra5Gbm4v+/n7s3LkTOTk5qrL19fXIysrCjh07sGfPHvzyyy/o7u7Gu+++izfeeAOVlZV45JFHAIztABgeHobf7wcAXLp0CcPDwwiFQgiFQhgeHo58+TA+b3JyMj799FMkJyejoKAAdXV16O3txenTp1FdXY3NmzejoqICTz31VKRviYmJaGxsRGJiIkpKSnDw4EEMDAzg1KlTcDgcSEpKAoBI2xcvXlSNTTlLoKSkBB0dHejv78f7778Pj8eDe+65B8DYFntlO73P59Mdn9/vRyAQ0B2fz+e74dhHRkYiW/nH5wWAhoYG2Gw2VFZWwuVyReZly5Yt1z10z4jSRvTjA8o4A4GAKq8yZuUXc2Wc0WXj4+PxySef4O677468OrK3txddXV1wOp1oamrCunXr8Pbbb2vqVdq7ePGiZtyK6PbGX8vdu3fjm2++gdVqRUVFBU6fPq35RFPuM6vVig0bNqCpqQkDAwM4efIkHA4H2tra8NJLL6leBRl9HytzpfTnevc8ERFNcUJERBRDBgcHZf/+/bJx40ZZunSpJCUlSVxcnMyYMUMyMjLkhRdekPb2dsPyPp9Pdu3aJVlZWZKYmCgpKSny6KOPSktLi4TD4Ug+t9stADSfvr4+6evr04253W5VW16vV8rLy2XBggViNptl3rx5snr1ajl06JCqrWidnZ3y9NNPS3JyslgsFrnvvvtk9+7d0tPTo2pr+fLlqnLhcFj27Nkj6enpkpCQIHfddZdUVlbK1atXxW63q8oGg0GpqqoyHENra6turKqq6oZjH98WACkuLlb1tbe3V55//nmx2Wwyffp0yczMlHfeeUeCwaAAEJPJdNP3g1F/AEhra6sqr9GY7Xa7pt4LFy7I9u3bZcmSJTJ9+nSZNWuWrFy5Umpra+XatWs3Ve/4cYuIbr78/HwREVmwYIHhWMbfg9G8Xq84nU5ZuHChmM1mmT17tqxZs0YOHTqkab+4uNhw/Ne754mIaGozicT40blEREQUE/7++28kJSXBarVqdjQQERGRMW71JyIioimjvb0dX375pW6su7sbAHTfN09ERETGuPAnIiKiKePYsWPYunUrgsGgJqa8UUHvUDsiIiIyxoU/ERERTSk9PT1Yv3492tra4PV64fF44HQ6ceDAATgcDmzatGmyu0hERPS/wmf8iYiIaMrwer1obGzE0aNH0d/fj5GREVgsFjzwwAMoLS1FaWkpTCbTZHeTiIjof4ULfyIiIiIiIqIYxq3+RERERERERDGMC38iIiIiIiKiGMaFPxEREREREVEM48KfiIiIiIiIKIZx4U9EREREREQUw7jwJyIiIiIiIophXPgTERERERERxTAu/ImIiIiIiIhi2D/Z6HrG3DOewgAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/4AAAI6CAYAAACekpPbAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5gURfrHv7M5B2BhSZKDqKigqKgkUcTwE8wBxVPPDJ7hFD1PMCKKegomQNHDHECMnEgwomIAFREEQRFYWMJGNk/9/mhrtmemu6enp7sn7PfzPPvs7nRPd3V1pW+9b73lEUIIEEIIIYQQQgghJCFJinYCCCGEEEIIIYQQ4hwU/oQQQgghhBBCSAJD4U8IIYQQQgghhCQwFP6EEEIIIYQQQkgCQ+FPCCGEEEIIIYQkMBT+hBBCCCGEEEJIAkPhTwghhBBCCCGEJDAU/oQQQgghhBBCSAJD4U8IIYQQQgghhCQwFP6ERIHa2lo899xzOOOMM9CzZ0/k5OQgIyMDHTp0wPDhw3HjjTdi0aJFqKmpiXZSWzx79+7FYYcdho4dO2LlypXRTo4tLFmyBCeffDKKioqQlpaGDh06YNiwYbj//vujnbSEQAiBWbNm4aijjkJeXh4yMjLQtWtXjBkzBm+++Wa0k+fHc889B4/Ho/kzbNgwze/MnTsXHo8Hubm5aGho0Dyna9euhte7/fbbkZubizvuuMOBpwrNnDlzgtK3fPnyqKTFDPX19Rg1ahRat26Nd9991+/YlClTgp5l8+bNfucEHr/44ovdSzzxIxb6lM2bN+vWe4/HgylTpgR9R6ucGZU5QkjskRLtBBDS0li4cCGuu+46/P777zjssMNwwQUXoHPnzmhsbMSmTZvw/vvv4+GHH8bDDz+M3NxcnHnmmbjvvvtQXFwc7aS3SJYsWYJvv/0WAPDf//4Xhx9+eJRTFBnz5s3D+PHjkZqaiiuvvBIHHngg/vjjD8yYMQMff/wxJk2aFNX0/ec//0FZWRmGDRumKzxjnb///e945pln0K5dO9x0001o3749vvnmG8yePRtlZWU444wzop1EH0OGDMG8efPwxRdf4MknnwQAXHrppRg2bBjatWun+Z0lS5YAAKqqqvD111/j6KOPDjrnP//5D6qqqjB9+nTU19fjtttu87vef/7zH1RXV+ORRx7BXXfd5cCTGTN8+HDMmzcPu3btwvXXX+/6/cPlhx9+wIcffggAePrpp3HKKaf4jp1++uno2bMn1q5di/vuu0/z+/PmzQMA3Hvvvfjll1+cTzDRJRb6lKKiIl+ZmDVrFj799FMAzeWkf//+Qd+R5QwALrzwQgDAsccei8svv9x3zURh+fLlWL58OQoKCvCPf/wj2skhxD4EIcQ1Hn74YeHxeERubq544403dM/773//K9LT0wUAAUAsW7bMvUQSP3bv3i0OPfRQUVxcLL744otoJyciGhsbRdu2bQUA8eijj/ode+qpp0QsdAldunQRAMTkyZOjnRRL/PDDD756u3r1ar9j5557rhg6dGh0EhaCX3/91Zfuyy67zPDcDh06+M698847dc/zer2iqKhI3HLLLUHHbr31VpGdnS0mTZoUcdojYdOmTXHRztbV1YmRI0eKgoICsWDBAs1zli1b5nuWTZs2aZ4zdOhQAUCMHz/esbQSY2KtTxk/fryv3JhFnp+o5Wjy5MkCgOjSpUu0k0KIrdDiT4hLvPHGG7jhhhvg8Xjw+uuvY9SoUbrnXnjhhfB6vXTHjAFatWqF7777LtrJsIW1a9di586dABBkTb/wwgsxdOjQKKQqsfj4448BAIWFhUFWsxkzZmDfvn3RSFZIevbsif322w9//PEHli5dqnveL7/8gm3btiEpKQlerxdLly7Vddf/6aefUFpaiuOOOy7o2H333adrnSbBpKWlYfHixdFOBrGBROpTCCHxBdf4E+ICpaWl+Pvf/w4AOOeccwxFv2T8+PEYMGCA00kjLYg9e/b4/s7Ly/M7lpWVhb59+7qdpIRD5nFg/gJAmzZtsN9++7mdJNOMGDECAPDbb7/h999/1zxn6dKlSE1NxZlnngkAWLFihe5kxtKlS5GWloZjjjnGmQQTQgghxDQU/oS4wIwZM1BWVgYAmDBhgunvjRs3zqEUkZaI1+uNdhISnnjOY7VlXq7jD2Tp0qUYNGiQb415fX09PvvsM91zjzrqKGRmZtqfWEIIIYSEBYU/IS4wZ84cAIrF78gjjzT9vXPPPRdz587VtcQKIfDCCy9g1KhRaNu2LdLT09G+fXuMHTsW7733nuZ39CJAb9y4EePHj0eHDh2Qnp6Onj174l//+lfQzgJGUcBD3Udr6cL333+P8ePHo0uXLkhPT0dhYSGOOOII3HvvvaioqDCd/i1btuDqq69Gt27dkJaWphmpe926dfj73/+OHj16ICMjA1lZWejXrx8uu+wyvPPOO2hsbPS7V7iRsD///HOcf/756Ny5M9LT09GmTRsMHToUTzzxhGb08+XLlwfd47nnnkNVVRVuvfVW9OzZExkZGSguLsZFF12ELVu2GN5fD5lnw4cP933WrVs33Xf3yy+/YPLkyTjmmGPQunVrpKamok2bNhg+fDhmzZoVlE9aNDQ04Mknn8SwYcPQpk0bpKWloW3bthg2bBimTJmCtWvX+p0v0yEtzXfeeadh+ZL8/vvvuO6669C3b19kZ2cjLy8PBx98MP71r39h165dmt/Re68vvvgihgwZgtatW4eMbB/IsGHD4PF4cOedd/rSFSpCflVVFaZOnYpBgwahsLAQmZmZ6NGjBy677DL89NNPhveRP127dgWgWN5PP/10dOjQAcnJyYZ5poe0+APQdPcXQmDZsmUYMWJEyHO9Xi8++eQTv/MA4OKLLw75XvXez6xZszBw4EDk5OSgoKAAJ5xwAr744ouQz7Vx40ZcfPHF6NixIzIyMrDffvvh73//OzZt2hTyu0ZoRUafMmUKGhsbMXXqVPTp0weZmZno2bMnJk2a5Neeff311xg9ejRatWqFvLw8jBw5EitWrNC8T+AOCdEOevnNN9/g5ptvxqBBg1BQUIC0tDS0a9cOo0ePxmuvvab7Pb3neP/99319WFJSkq9c6+Wv1+vFzJkzcfjhhyM/P1+zfd61axdmzJiBk08+GR07dkRaWhry8vIwYMAA3HHHHdi9e3dQ+rTKplZ+B9ZB2W6bIVSfotW/Ll++HDt37sS1116L/fbbD+np6dhvv/1w7bXX+nlxxSrh9ouTJk0K2Ub07dvXdN/82muvYdSoUSgqKkJqaipatWqFY489FlOmTMHPP//sd64sA3rtuN67bmhowOOPP46hQ4eiTZs2SE9PR+fOnXH++efj888/10yXXlv43Xff4fTTT0fbtm2RkZGBAw44ANOnT4/rSWUSQ0Q7yAAhic4vv/ziC4QzfPhw265bVlYmhg0bJgCIzp07i8mTJ4s5c+aIW265RbRu3VoAEOeee66oq6vz+97q1avFvHnzxG233eZL18KFC0WnTp3EjTfeKJ555hnx73//WxQWFgoA4pRTTvH7/saNG8W8efPEYYcdJgCIgoICMW/ePDFv3jzN+5xwwgkiPT1dPPfcc0GBjKZOnSqSkpJEVlaWmDhxopgzZ46YPn26GDRokAAgOnXqJH744YeQ6X/vvfdEcXGxGD9+vJg1a5a4++67femXAbs+/PBDkZ6eLjIyMsSll14qZsyYIWbOnCkuuugikZycLACIk08+2e9e8rn69u1rGMjI6/WK66+/XgDwPcvs2bPF1KlTxf777y8AiIMOOkj8+eefft8rKSnx3UM+y8yZM8Uhhxwizj33XDFr1iwxffp03zU6d+4s9u7da1QsNNHKs0ceecR3b/W7W7Vqle+cAw44QNx7773i6aefFjfffLNo166dACCGDBkiqqurde+3ZcsW0b9/fwFA9O3bV9x3331i1qxZYtKkSaJ9+/a+60+bNi0or9u0aSMAiLFjx/qlL7B8CSHEK6+8IjIyMgQAceaZZ4onn3xSzJgxQxx//PECgCgsLBTLly8P+p7We73mmmtE7969xX333SeefvppcfLJJwsApoPxffjhh2LevHli7NixAoBo06aNX9o//PBDv/N//PFH0blzZwFADBo0SDz00ENi1qxZ4pJLLhEpKSkiOTlZPPzwwyHv06VLF/HSSy+JoqIicfPNN4vZs2eLa665xlemw0XmSYcOHYKOfffdd351qnfv3gKAOOyww4LOXblypQAgPv30U7/Pv/jiCzFv3jxx+eWX6wYU03o/l156qTjqqKPEY489Jp588klxwgknCAAiLS1NfP7557rPs3z5cpGdnS0AiMMPP1w8/PDD4umnnxYXXXSRaN26tViwYIHl4H5VVVVB5fbf//63GD16tDj99NPF008/LSZPnuwLhnjMMceI2tpasWTJEnHQQQeJBx54QDz66KPiuOOOEwBERkaG+Oabb4Lus2DBAjFv3jxx7LHHGpZJN4L7vfXWW757DB48WEybNk08+eSTYuLEiSI3N1cAEGeffbZoamoy9RwPPPCA6NSpk7jjjjvErFmzxLhx43zlWi9/Tz31VDFw4EAxffp08cQTT4jBgwcHPVNBQYGvHt5yyy1i1qxZYsqUKeKQQw7x9S1r1671S58smzk5OQKAOOqoozTrrqyDnTp1EgcddJCYN2+e2Lhxo6n8C9WnyP71kUce8eXziy++KLp37y6uuOIKMWfOHHHvvfeKTp06CQDi0EMPFfX19eZeng5OBfez2i9+//33IduIt99+21TffMkllwgAonv37uKOO+4Qs2fPFvfdd59v/AJAvPbaa77zZRnQa8e13vWWLVvEQQcdJACI/fffX0ydOlXMnj1bTJw4UWRlZQkA4oYbbhBer9fve1pt4eLFi0WnTp3E7bffLp555hlx4403+vq4a6+9NsRbISQ0FP6EOMyLL77oa9Qvv/xyW67Z1NQkRowYIQCIAw88MEgM/vHHHz6BdfHFF2teQz1I7NKli/jyyy/9jn/88ce+4x9//HHQ95977jnf8ZUrV2rew+v1iq5du4ozzjgj6NicOXMEAJGdnS1WrVoV9L0LL7zQl7aysjLD9Hfq1Em88847fsdfeOEF32C+sbFRdOzYUQDQ3E3hf//7n0hKStIdUIcaLMsIwDk5OUHPUltbK0aOHCkAiH79+ol9+/ZpXkM+S/v27YME3549e3yTOUZR1ENhRhhIwXbCCSeIxsZGv2N79+71CXq9QUh1dbVvUHf88ceL2tpav+OVlZXiqKOOEgDEddddF/R9s1H9lyxZIpKSkgQAMWfOnKDjt99+u2/A+fPPP2teQ77Xjh07imOPPVbU1NT4jjU1NYnevXuHHYXfTDTokpIS3yTKRRddFCSSFi1a5BPuzz33nOF98vLyRPfu3cVvv/3md/yyyy6zJPyvvvpqXxkJzLfp06eLjIwM3zu94oorBACRnJwc1AZNmzZNZGdn64qSuXPnhhQb8v20b99ejBkzxi+fvF6vrw3Um1Ddvn27TwCefvrpQeV5/vz5vl0urAh/NbLcdujQQdx2221+xzZt2iQyMzMFAPHEE0+IkSNHioqKCt/xpqYmceKJJwoAYtSoUbr3kAItmsL/9ddfF4D2zg9//vmnr9+ZPn267jXkc7Rr107069dP7N692+/4yJEjg+qPzN+OHTuKc845x68sVFZWioKCAr9nys7OFh07dhQlJSV+12lsbBR/+9vfBADRv3//IDEmhPAdLywsDGq/JBs2bBAej0c8+eSTus9pRKj3oN5tokOHDuLNN98Mun9KSooAIJ5//nlLaZCohX9paampHzPCP9J+MZw2QisdixYt8o0PAscQ6jHG3LlzddMeKqq/ur8bOXJkUHlZtWqVbyJpypQpmtdQP2e/fv2CJhaef/55AUAkJSXp1mtCzELhT4jDPProo75G/aabbrLlmmrRrWXRFMK/M9ES7upB4kUXXaR5ja5duwoAmttxVVZW+ixpeiJw+fLlAoB4++23/T4vKyvzWYfuuOMOze/u2bPHN9N97733GqZfa2Jh69atYvz48WLt2rVi9erVvnMrKys173f00UdbEv4bNmzwiTS9jn3Dhg0+kaon3GX6unXrpmktu/jiiwUAccQRR2h+3wzhCP+vvvpK8/iHH34oAMU6qZWXcsCUnJyse48vv/wyIuHf1NQkevToIQCIYcOGaZ7T2NjoO0dPGMr3CiDIs0QIIR5//HExdepU3XRoYWbAKN9lfn6+5qSWEM2D8fz8fFFeXq57HwBixowZQceXLFliSdy9+eabvuvOnDnT79hJJ50kRowY4fv/1Vdf9Z0buMXcqFGjxIknnqh7n3AG9QA0LaqyHUxKStL0QLnyyisFAJGamiq2bt2qeY9TTjnFVuGfn5+vKWKkB0laWpp48cUXg47LvExOTtadHIwV4Z+UlCS2b9+ueXzWrFk+saWHWmgGTtgKoeTFjTfe6PeZzN/09HRRWloa9J0777xTzJ492/d/dna2n0eRmoqKCl/f8tFHHwUd/+STT3zpe+WVVzSvcfvtt4uMjAxLHlhChCf8hwwZonmO9Pg755xzLKVBon4f4f7opd+OfjFS4S+9DbTGB0I0b2EaifCfMmWKr97qeX2o+0Stc9TPqTUeqqur823vbHWiiRAJ1/gT4jCVlZW+v+0KcvX4448DADp27Ki7BduZZ56JtLQ0v/P1OPXUUzU/33///QEAv/76a9CxnJwcX2Tvl19+GfX19UHnPPfccygqKsLo0aP9Pn/hhRd8+XLOOedo3ruwsBCDBg3yXd+IM844I+izDh064LnnnkPfvn3R1NTk+1wvENlTTz2Fhx56yPA+Wjz99NO+619wwQWa5/To0cMX2+GJJ56AEEL3eieddBKSkoKbZqN3YSf9+/fHpk2bcPjhh2seP+ywwwAAtbW1+Oabb/yOCSHw5JNPAgAGDx7sW38eyBFHHIFevXohJyfHUhoXLVqEjRs3AtDP8+TkZF/ZWrZsWdBaTjW9e/fGQQcdFPT51VdfjUmTJllKox5lZWV46aWXAACnnHIK8vPzNc+Tz1VeXo4XX3zR8Jpa5X/EiBGm1x2rGT58uK/8qdfuNzY24tNPP/WLEyHXOgP+wQAbGhrw2WefaW7jZ4UDDjgA3bt3D/pc1gmv1+srD+r0ynw++uij0aFDB81ryzbMLoYMGaLZzvfu3RuAEgzxxBNPDDrep08fAEBTU1PQs8QSJ510EjZv3ozi4mLN47J9+PPPP7F582bDa2VlZWnmxdlnn43p06drfkeuoQ7kjjvuwGWXXeb7/+eff9YNpJubm+t7H59++mnQ8WOPPRY9evQAAMydOzfouNfrxfPPP4+xY8eioKBA8x52YqV/tsrixYtN/YTC7n7RCvL+3377bVCsInn/xYsXm9plSQt1f3fkkUdqtlFA8/M3NTXh6aefNrym1rtOS0vzXdvp/p8kPhT+hDiMelsvrc4nXCoqKvDtt98CAAYOHKh7Xk5Ojm8wuWzZMsNr9urVS/NzOagpLy/XPC4D6uzevRvvvvuu37Hq6mq88cYbOP/885GSkuJ3TKZHBo3btWuX5o8c4P3888+G+5/LAZAeffv2RatWrQAog8p7770XO3bs8DvnwAMPNMxPPaQ4ys/PR8+ePXXPk9fesWNHUGA7NVbfhV2kpaX5gnABymClrKzM907UkyglJSV+312zZg127twJACG3oly/fj3uueceS2lUC1Kjd6Y+pg7yGEio8mMnn332mW+SzGzajepvfn4+2rdvb1v6CgsLccghhwBQ8kwGlFq5ciUqKyv9gvW1bdsWBxxwAAD/d/L111+juro6KLCfVULVCSC4Xvz444++YHryebSQ6bcLvbTm5uYCUPZwl22R1nEAvh1gYpGsrCx07tzZ939DQwP27t3rax/UBLYPgfTq1SuobwiF2bq63377+SZghBCoqKjw61vkpKNeGmXftnjxYvz5559+x5YsWYItW7bgb3/7W1hpt4qbfcLIkSNN/YTC7n7RCkcffTQAJQjn0UcfjQULFvgFE/R4PBg5cqTl9nPNmjW+cYRRW96rVy/fONCpsRghZqHwJ8RhioqKfH9rRakPl02bNvkG4x07djQ8Vx4vLS318zwIRD3oVCM9BvSiuA8dOtRn1Q20Ls6fPx9VVVW46KKLgr4nLVoNDQ1o164dioqKNH/mz58PQLGwlJaW6qZfa890NZmZmZg9ezYyMjJQWVmJ22+/HR06dMCwYcPw6KOPYtu2bYbfN0I+i55FUaJ+V0YWvVDvQi28naK0tBSTJk3C/vvvj7S0NBQWFvq9F0ltba3f99TPFSo/IkF9H6M6YDbPQ5UfOzGb9latWiEjIyPoO4E4kXZpqd+zZw9WrVoFQBE7OTk5QZ4g0gPg559/xvbt2wEog/5WrVoZCu5wCFUngOA2Sm1tNhrYFxYWRpa4APS8WOREmt5xtZePmV0zosnmzZtxzTXXoHv37khLS0OrVq18bYN6wi+wfQjEStk1+52GhgbMmDEDRx55JDIzM5Gfn+/XhsndIPTSOH78eCQlJfms+2rmzp2Lzp072+bREgqr/XM0sbtftMJZZ53l8/r6/vvvcfrpp6Ndu3a46KKLsHDhQk0vxXAw25YDzfkQ6hnj8V2T+ILCnxCHUQ+ENmzYEPH1qqqqfH9LYaCH+rjRpIOWa7kZPB6PT9h/8MEHPmsvADz//PM48MADNS2/8hlycnJMuxZquXeGk/7TTz8dq1atwmWXXYbs7Gx4vV58/PHH+Mc//oH99tsP48aN80u/WeSzRPtd2MWPP/6IAw44ANOmTUN1dTXuu+8+zJ8/35SbZzhlMxLM3icW89xK/XU77Vpb9S1duhTHHHMMUlNTTZ07bNgw29Jm5TrV1dW+v43yOTk52VKa9Ai1hWK4WyzGGkuXLsUBBxyAJ554ApmZmXjkkUewcOFCX9vwwgsvmL6Wlfdq5jsVFRU45phjMHHiRPz000+49tpr8eKLL/q1Yf379ze8RufOnX1lWz2pXV5ejrfeess3MeAG0e4TrGB3v2gFj8eDV155Ba+//jqOPfZYAMDevXsxb948jBkzBp07d8aMGTMsX9/uthyIz3dN4ovwfKwIIWHTu3dvdOzYEVu3bsUPP/wAIUREgz/1jHAoi4r6uN5a4ki56KKLcPfdd6OxsREvvvgirr/+emzZsgXLli3D/fffr/kd+QwNDQ2m3Abtok+fPpg9ezYeffRRvPvuu3j55Zfx7rvv+tK+cuVKrF69OizRmpubi71798bEu7CD8ePHo7S0FJ06dcKPP/4YVlrDKZuREHgfPStgLOa5lfrrdtqPPfZYpKamoqGhAUuWLMG1116LFStW4K677go6d+jQoT7L6NKlS3HGGWdgxYoVluJl2Inasm6Uz2540CQKdXV1uOCCC7Bv3z4ceuih+Oqrr4ImgkKt63eDyZMn4+uvv0ZycjKWLl3qixWjxoynx9/+9jd89NFH2LBhAz799FMce+yxeOWVV1BTU2O4bzxxr180s7f9mWeeiTPPPBObN2/Gq6++innz5vmWpU2cOBGlpaWabVso4qEtJyQQTi0R4gJXXHEFAGDXrl348ssvTX9vypQpGDNmDB5++GHfZ926dfPNCodyUd+6dSsAZS2u1UBqoejRoweOOeYYAPC5RM6bNw8ej0c3qI9c81dXV2fJyh4pWVlZOPvss7FgwQJs3LgRxx9/PABl3blWMCcj5LOYfRcAfIGjYo0NGzbg+++/B6BM6IQ7SFGv5Yxk+YRd94nFPDebdvWg2e20Z2dn+4JuffbZZ/j4449RW1vrF9hPoo4JsHTpUnzxxReoq6tzzQ1aD3VgSbkEQYu9e/e6kJrE4NNPP/Wtib/qqquCRH+s8PrrrwNQgohqiX6zjB071tcGyn5h7ty5GDJkSMy0J7GKHf2iOv6Dnot7OF4CXbt2xS233IKffvoJ7777ri/Wxv33329p7Xw4/Z08znJDog2FPyEuMHHiRLRu3RoAMHPmTFPf2b59O+6//34sXLjQL1psbm6uL3KyDPKnRXV1NdatWwcAmgN2O5HWj9WrV2P16tV4/vnnMXLkSN31fer0fPXVV7rX3bZtG9LT00O6ZYZi06ZNuP322zXjBOy33354/fXXfYPYn376Kaxry2cpLy83XL/33XffAQCKi4vRt2/fsO7hFupJGL01i2r3xkD2339/X7Rvo7JZX1+Pc889F5deemnQMTPeMOryY3QfmeeAEoE+Fhg8eLBvvaZR2tXHnK6/Wkg356qqKtx///0oKCjQDdgoz928eTPmzJmDDh06RL2MH3jggT7RJieztDDa7YH4E2n74BYynUbrrs2kMzMz07dG/PXXX8fKlSvx1VdfuRbUL56xo19Ue3JpBbwMtQPG/Pnz8dRTT2keO/nkk3H33XcDUDwP169f73fcTD9ktr/bsGGDb4IiGm05IWoo/Alxgfz8fLz44otISkrCyy+/jI8++ijkd2688UbU1dXhqKOOwmmnneZ37JprrgGgbJmktR0RALz55pu+4DVXX311hE9gzFlnnYWsrCwAwLXXXov169drBvWTXHDBBb5BudGWY3PnzkV9fb3uln9m+f3333Hvvffi66+/1jyen5/vS3+42zNdccUVvnXCcvuwQDZt2uTz9Lj66qtjdp2vOgha4EBIohbTgXg8Hlx11VUAgBUrVmDTpk2a533wwQd49dVXUVdXF3RMvgd19OWNGzeib9++mDx5MgBg1KhRPsuJXp43NTXh1VdfBaAIUzcj9xtRUFDg84R59913dS1W8rny8/N1PWecRG2xX758OYYMGaK7/lQ9mH3llVdiYnCbkpLiy7cvvvhC1yL35ptvupmsuCbS9sEtZDr10lhTU4NffvnF1LWkyK+qqsJ5552HnJwcnHXWWfYkNIGxo1+UWy4C8Bkx1Hz88ceGEzhvv/027rjjDt3j6vIc2O9r9UOAsiuQNESY7e/k8ycnJ+Pyyy/XTQ8hbkDhT4hLjBo1Ck888QSSkpJwxhln4K233tI8r7a2FldffTVefvllFBcX45VXXgnqEMeNG+ezsl177bVBbmpbt27FbbfdBkAZuAwZMsT+B1KRm5uL008/HYDiGpyXl4exY8fqnp+Xl4dHH30UgDIrP2/evKBzvvjiC9x9993o3Lkzrr32WlvSec8992iKzYULF6K8vBwej0dzT3Qjunfvjn//+98AgAcffBA//PCD3/H6+npceeWVaGpqQr9+/XDTTTdZfwCH6datGw499FAAwDPPPBM0cK6ursbNN99seI1//vOf2H///dHU1IQrr7wyKHJyaWkp/vGPfyA1NRW33HJL0PfldkZ//PGH77Nvv/0W69at88VeSEpKwqxZs5CUlISlS5dqLs+4++67sWHDBmRlZeHxxx838fTuMXXqVLRr1w5lZWX4xz/+EbRO9aOPPvLViccee0w30rOTHHnkkb7BLwDDrfmGDBnic8sVQkTdzV/y73//GwUFBWhoaMDEiROD1vO//fbb+OCDD6KUuvhj8ODBPrE0ffr0IA+q0tJS3+RcNJFt+OrVq/Hyyy/7HRNC4Oabb/YL/mjEkUce6bNEb9y4EWeddRays7PtTXACYke/2LdvX3Tr1g0AgoJG1tbW4vbbb0e7du0M01FaWorHHnss6HMhhK+NPfjgg4O20ZP/79y507fkqq6uDh999JHfGCJUf/fjjz9i+vTpAIA77rjDz3uTkGjA4H6EuMgVV1yBLl264Morr8TYsWNx+OGH46STTkKnTp3Q1NSENWvW4I033sD27dtxxBFH4JVXXsF+++0XdJ2kpCTMnz8fY8aMwfLly9G/f39ceuml6NSpE3799VfMmTMHu3btwjnnnBPk6vbbb7/hiy++8Nsz96233kKbNm1w/PHHo127dlixYgU2btyI3377DYCyx67seMeNG6f5bOPHj/edc+aZZ/r2UNZj/Pjx2L17N26++WZcdNFFmD9/PkaOHAmv14uVK1fipZdeQps2bfD222/7rTU3Sr9e+rKyspCcnIwvv/wSvXr1wrhx49C1a1fU1tZi5cqVeO211+DxePDAAw/4uTPL55F79f7222+a+XDHHXegvLwcjzzyCAYPHoxLL70U/fv3x65du/Df//4XP//8Mw488EB88MEHfvlSXV2NBQsW+KV1xYoVSElJQf/+/dG/f3/f865YsSIoXfJ9heKHH37ADz/8oJtn6us8++yzGD58OMrKyjBgwABcdtll2H///bFt2zbMmzfPb11vYFoBxT32ww8/xEknnYQPP/wQhxxyCMaPH49WrVrh119/xTPPPIOKigrMnj0bBx10UFBaL7zwQixcuBBvvvkm+vTpg5ycHDz44IPIzMzEueee6ztvxIgReOmll3DxxRfjkksuwQcffIDjjjsOjY2NePvtt/Hhhx+ioKAACxYsCHIhfeutt1BVVaX5XtXPEg6LFy/Gjh07fAPc6upqv8Gqury0a9cOH330EU466STMnTsXP//8M8455xzk5OTgq6++wvPPPw8hBB566KEgzxlZN7Xu065dO1+8ikhJTU3Fsccei//9738AjF1Uc3JycNhhh/msd0aTBDL9WuV58ODB6N69u+77kc8n641633i537r6/RUXF2PBggU45ZRT8Oabb+Koo47C+eefj+zsbHz++ed49dVXMX36dFx33XV+1+jXr5/usoZAZNqlkPzhhx/wwgsvoEePHjjqqKN8dU/rfY0bNw47duzA4sWLNZ8lMD+02uOxY8f6yoNW/Zb5YbYtMyI9PR3PPvssxowZg61bt6Jfv3647LLL0K1bN2zatAnPPPOMX9C8wOeQdUTrOWR+mc1foLm8BDJ58mQsXboUq1evxgUXXIC3334bRx99NPbt24d33nkHq1evRnFxMUpKSoLKlhYXX3wxJk2aBAARu/mHeg9myoNRmRo7dqypiQl13yPfhzp9Wu2g+p4SdfoD7221X1Qzbdo03zimoqICw4cPR0VFBZ599lmMGzcOixYt8pWpF154AdnZ2T6jg5wwve666/Dee+9h+PDhKCoqws6dOzF//nx88803KC4uxosvvhh0X9kn7tixA+PGjcMJJ5yAhQsXYu/evX6T37K/Gz16ND788EMceuihuOiii9CmTRv8+OOPmDNnDqqrq3H99df7JkIC81OrLZR5KetMYHnJycnBmDFjNPOMEEMEIcR1amtrxezZs8Wpp54qOnfuLNLT00VWVpbo2bOnOO+888TChQuF1+sNeR2v1yvmzZsnTjjhBNGmTRuRmpoq2rVrJ0477TTxzjvvaH5n7ty5AoDmz7Jly4QQQowfP173HD2amppE586dBQCxfPly03nx008/iUsvvVR069bNlw8HH3yw+Ne//iV27doVVvqN0vfHH3+IadOmiZEjR4r27duLtLQ0kZ6eLrp16yYuvPBC8eWXXwZ9J9z7fPbZZ+K8884THTt2FGlpaaKwsFAcc8wxYubMmaKuri7o/E2bNulef/LkySGfV76vUEyePNnwWQKvs3nzZnH55ZeLLl26iNTUVJGTkyMGDBgg7rnnHlFRUaGbVjX19fXi8ccfF8cee6woLCwUKSkpokOHDuK8884T3377rWF6n3zySdGvXz+RlpYm2rRpI44//nixcuVKzXM3b94sJk6cKHr37i0yMzNFdna2OPDAA8Wtt94qdu7cqfmdLl26hMz3cBk6dGjY5aWyslJMnTpVHHbYYSIvL0+kp6eLrl27iksuuUT8+OOPmt8xqptDhw61lHY9HnjgAQFAtGnTJmR7dNtttwkAonv37obnGaV/7ty5Qgj99yOfz0y9UbNx40Yxfvx4X71v3769OPvss8V3332nea0bb7zRdB7ppWP8+PFCCOO6J4QQy5Yts5wfAMSmTZsM7yHzw0qbqcePP/4oLrjgAtG+fXuRkpIi8vPzxVFHHSUee+wxsW7dOt3nMKojMr/M5q/6ulpUV1eLO++8Uxx44IEiIyNDZGRkiF69eomrr75abNq0KSgtRnVn69atIjk5WfTs2TPsvArneYQwVx6M3vemTZtMpcOoDunVo1D9iN69w+0XA3nnnXfE0UcfLbKzs0Vubq44+uijxYIFC4QQwWWqY8eOft9dtmyZmDBhghgwYIAoKCgQycnJIjc3VwwcOFBMnjxZ7N69W/e+q1evFqNGjRJ5eXkiMzNTHHDAAWLGjBmiqakp6Ny6ujoxc+ZMX3+XlpYmOnbsKM4991zx2WefaV7fzHvUqzNdunQJmW+EaOERQggQQgghhBBC/Ni5cyc6duyIKVOm4F//+le0k0MIIZbhGn9CCCGEEEI0eOmll+D1eg0D1hJCSDxAiz8hhBBCCGnxlJSUICUlxRf/BAAOPfRQtG3b1hfvghBC4hUG9yOEEEIIIS2eK6+8EsnJyb5tHpcsWYJVq1Zx20dCSEJA4U8IIYQQQgiUbR4nT56M1q1bY9q0aRg0aJDh9rSEEBIvUPgTQgghhJAWzxFHHIEffvgB06ZNQ05ODkaOHIlHHnkEHo8n2kkjhJCI4Rp/QgghhBBCCCEkgaHF3ya8Xi+2bduG3NxczgwTQgghhBBCCHEcIQQqKyvRoUMHJCXpb9pH4W8T27ZtQ+fOnaOdDEIIIYQQQgghLYwtW7agU6dOuscp/G0iNzcXgJLheXl5UU6NPl6vF6WlpSgqKjKcESKkpcO6QkhoWE8IMQfrCiGhYT2xRkVFBTp37uzTo3pQ+NuEdO/Py8uLeeFfW1uLvLw8VihCDGBdISQ0rCeEmIN1hZDQsJ5ERqjl5sxRQgghhBBCCCEkgaHwJ4QQQgghhBBCEhgKf0IIIYQQQgghJIGh8CeEEEIIIYQQQhIYCn9CCCGEEEIIISSBofAnhBBCCCGEEEISGAp/QgghhBBCCCEkgaHwJ4QQQgghhBBCEhgKf0IIIYQQQgghJIGh8CeEEEIIIYQQQhKYuBL+X3zxBfr06QOPx4PNmzdHOzmEEEIIIYQQQkjMExfCv6amBjfeeCOGDBmC9evX23LNdevWYdy4cWjfvj0yMjLQo0cP/POf/0R5ebkt1yeEEEIIIYQQQmKBmBf+GzduxCGHHII333wTH3zwgS3XXL58OQ499FB88803eO6557B27VrcfvvteOqppzBgwABs377dlvsQQgghhBBCCCHRJiXaCQjFmjVrcNxxx+GBBx5ATk5OxNcrKyvDWWedBSEE3n//fXTv3h0A0K1bN6Snp+OCCy7ARRddhMWLF0d8L0IIIYQQQgghJNrEvMX/5JNPxhNPPGGL6AeAGTNmYNeuXTjttNN8ol9y7rnnokOHDvjoo4/w+eef23I/QgghhBBCCCEkmsS88E9OTrb1eq+//joA4Ljjjgs6lpSUhBEjRgAAXn31VVvvSwghhBBCCCGERIOYF/52Ul1djTVr1gAA+vbtq3mO/HzlypWupYsQQgghhBBCCHGKmF/jbyebNm2C1+sFABQXF2ue0759ewBKUEEj6urqUFdX5/u/oqICAOD1en33iEW8Xi+EEDGdxkh58UXggguinQoS77SEukJIpLCeEGIO1hVCQsN6Yg2z+dWihL8U5wCQmZmpeU5WVhYAhNzWb+rUqbjzzjuDPi8tLUVtbW0EqXQWr9eL8vJyCCGQlJR4Dh81NcCVV7bFsGE7kZoa7dSQeCbR6wohdsB6Qog5WFcICQ3riTUqKytNndeihL+d3Hrrrbjhhht8/1dUVKBz584oKipCXl5eFFNmjNfrhcfjQVFRUUJWqG++ARobPdi7ty0OPDDaqSHxTKLXFULsgPWEEHOwrhASGtYTa2RkZJg6r0UJf7Ugr6mp0Txn3759AID8/HzDa6WnpyM9PT3o86SkpJgvqB6PJy7SaYWdO4Hu3YHduz1IwMcjLpPIdYUQu2A9IcQcrCuEhIb1JHzM5lWLytFu3brB4/EAAEpKSjTP2b59OwCgR48erqWL2EdVFdC6NaAKv0AIIYQQQgghLZoWJfyzs7NxwAEHAAB++eUXzXPk54cffrhr6SL2QeFPCCGEEEIIIf60KOEPAGeddRYAYMmSJUHHvF4vli5d6nceiS8qKyn8CSGEEEIIIURNQgr/RYsWoWfPnrj22muDjk2YMAGtW7fGwoULsWnTJr9jr7zyCrZt24YRI0bg2GOPdSu5xEZo8SeEEEIIIYQQf+JC+JeWlqKkpMRvXb7WZ5KZM2di48aNePzxx7F7926/Y4WFhXjttdcAAKNHj8aHH36ITZs2Ye7cubjiiivQtWtXzJs3z9kHIo4hhX99fbRTQgghhBBCCCGxQVxE9T/88MPx+++/+302aNAg399CCL9j48aNw6effopRo0ahdevWQdcbMWIEvv/+e9x111246KKLsHfvXnTs2BGXX345/v3vf6OgoMCR5yDOU1UF9OxJiz8hhBBCCCGESOJC+G/evDms888991yce+65huf07dsXL730UgSpIrFIVRXQqhXwxx/RTgkhhBBCCCGExAZx4epPiFm4xp8QQgghhBBC/KHwJwlFQwOQk0PhTwghhBBCCCESCn+ScKSnU/gTQgghhBBCiITCnyQc6emM6k8IIYQQQgghEgp/knDQ4k8IIYQQQgghzVD4k4SDwp8QQgghhBBCmqHwJwkHhT8hhBBCCCGENEPhTxKGpiYgKQlIS+Maf0IIIYQQQgiRUPiThKG6GsjOBlJTlW39CCGEEEIIIYRQ+JMEYu9eoKCAwp8QQgghhBBC1FD4k4Rhxw6guBjweKKdEkIIIYQQQgiJHSj8ScJQUgK0b6/8LUR000IIIYQQQgghsQKFP0kYSkoUiz8hhBBCCCGEkGYo/EnCUFoKtGmj/E13f0IIIYQQQghRoPAnCUN9PZCervxNV39CCCGEEEIIUaDwJwlDQ4MS0Z8QQgghhBBCSDMU/iRhUAt/uvoTQgghhBBCiAKFP0kY1MKfrv6EEEIIIYQQokDhTxKGhgYgJSXaqSCEEEIIIYSQ2ILCnyQMjY1c408IIYQQQgghgVD4k4SBwf0IIYQQQgghJBgKf5IwUPgTQgghhBBCSDAU/iRhoPAnhBBCCCGEkGAo/EnCQOFPCCGEEEIIIcFQ+JOEQR3VPykJ8Hqjmx5CCCGEEEIIiQUo/ElC4fEov1NTlYkAQgghhBBCCGnpUPiThEGKfgBISwPq66OXFkIIIYQQQrS46KJop4C0RCj8SUJCiz8hhBBCCIlFfvst2ikgLREKf5IwCNH8N4U/IYQQQgiJRcrLo50C0hKh8CcJCV39CSGEEEJILELhT6IBhT9JSGjxJ4QQQgghsUhVFdDYGO1UkJYGhT9JGNTB/VJTafEnhBBCCCGxR2MjsG9ftFNBWhoU/iQhSUujxZ8QQgghhMQeDQ1AdXW0U0FaGhT+JCGhqz8hhBBCCIlFGhsp/In7UPiThCEwqj9d/QkhhBBCSCwhBF39SXSg8CcJCV39CSGEEEJIrNHUpPymxZ+4DYU/SUjo6k8IIYQQQmINGc2fwp+4DYU/SRgY1Z8QQgghhMQy0jBFV3/iNhT+JCGhqz8hhBBCCIk1GhuBlBRa/In7UPiThCEwuB+FPyGEEEIIiSUaG4GCAgp/4j4U/iQhUIt+gK7+hBBCCCEk9mhoAPLz6epP3IfCnyQETU1AcnLz/3T1J4QQQgghsUZjI5CXR4s/cR8Kf5IQNDYqVn4JLf6EEEIIISTWaGigqz+JDhT+JCFoaAgW/rT4E0IIIYSQWKKxka7+JDpQ+JOEIFD409WfEEIIIYTEGgzuR6IFhT9JCBoalK1RJHT1J4QQQgghsYZ09a+sjHZKSEuDwp8kBIEW/5QUZUaVEEIIIYSQWKGxESgsBMrLo50S0tKg8CcJgZbwb2qKXnrMUlcHrFgR7VQQQgghhBA3kF6qKSlclkrcxbLwT05ORnJyMjp06GBnegixRGBU/3ix+JeUAP/9b7RTQQghhBBC3ECOWTt2VMaBhLiFZeEvhMCYMWOwePFiO9NDiCUCLf7JyfEh/Bsb48MzgRBCCCGERE5jo2KgKi6m8CfukhL6FG0yMjIwbdo09OzZ0870EGKJeHX1b2qKjwkKQgghhBASOU1NQFKSIvy3b492akhLwrLFv2fPnqirqwt5Xm1tLf5LX2biMIFR/ePF1Z8Wf0IIIYSQ6FJT4+56e4+HFn/iPpaF/2WXXYann3465Hnl5eX429/+ZvU2hJgiXqP6NzbGRzoJIYQQQhKVU04B7rvPnXsJofwuKgJ27XLnnoQAEQj/iRMnoqmpCWeffTY+/fRT7GLJJVGEa/wJIYQQQogV1q1rFuRu4PEAOTlAVZV79yTE8hr/5ORk399vvvmmLYkhxCpaUf2dFNSTJwNlZcCjj0Z2Ha7xJ4QQQgiJLmVlQEGBu/ek8CduY1n4izCmxTwej9XbEGIKt139S0uBFSsivw4t/oQQQggh0WXfPiAz0517SQlF4U/cxrKrv8fjQUlJCbxer+HPtm3b7EwvIZoEBvdz2tW/XTtg587Ir8M1/oQQQggh0SU9Haivd+9+dPUn0cCy8O/evTtSUkI7DKSnp2PIkCFWb0OIKdzezq9tW3uEf1MTLf6EEEIIIdEkMxOorXXnXtLin5Hh3j0JASJw9f/1119NnVdYWIhly5ZZvQ0hpnDb1T8ry57r09WfEEIIISS6uC3CPR7lhxA3sSz8AykvL8eWLVsAAJ07d0Z+fr5dlyYkJFrB/ZwU/l6vPdehqz8hhBBCSHSJlvWd4p+4iWVXf8kHH3yAwYMHo3Xr1jj44INx8MEHo3Xr1jj66KOxaNEiO9JISEjc3s7PTuFPiz8hhBBCSPRIT3ff1R+wbzxJiBkiEv5Tp07FKaecgi+//BJerxdCCAgh4PV6sWLFCpx88smYOnWqXWklRJfA4H5Or/G3a69XbudHCCGEEBJdouHqDyjjVTeDCpKWjWVX/+XLl+Nf//oXevbsiSuvvBKDBg1Cu3btAAA7duzA119/jSeffBK33347Bg8ejKFDh9qWaEICiYbF3w73LFr8CSGEEEKii5vCX2086tcPWLMGOPRQd+5NWjaWhf8jjzyC4cOH47333kNGRobfsV69euGYY47BNddcg9GjR+Phhx+m8CeOEij8nV4z5fUqkwuRwjX+hBBCCCHRQ4joWfy7dQO2bKHwJ+5gWfivWLECb731VpDoV5Oeno677roLp59+utXbEGKKQOHvNF4vkBRxhAxu50cIIYQQEk0aGoD8/OgE9ysoAMrK3L8vaZlYli4VFRXo3LlzyPO6dOmCiooKq7chxBSBUf2dxk5Xf1r8CSGEEEKiQ10dkJ3t3nhM7epP4U/cxLLwb9u2LX788ceQ561atQpt27a1ehtCTOG2xV8Ieyz+XONPCCGEEBI96uqUqP5uIo1HFP7ETSxLlxEjRuCGG27Ali1bdM/ZtGkTbrzxRowcOdLqbQgxRWBUf6dhcD9CCCGEkPjHbeFPiz+JFpal0qRJkzBgwAD07dsX//d//4dBgwb5LPs7duzAV199hXfeeQcAcMstt9iTWkJ0iOc1/nT1J4QQQgiJDrT4k5aCZeHft29fvPTSSxg3bhxeffVVvPbaa37HhRDIzs7GCy+8gD59+kSc0EWLFuGhhx7Ct99+i7q6OvTp0weXXHIJrr76aiSFqcBqa2vxwgsv4Pnnn8emTZuwc+dOFBQUYODAgbjqqqvwf//3fxGnl7hLvAp/WvwJIYQQQqJHNIS/JD+fwp+4R0TSZcyYMfjpp59w7bXXonfv3khPT0d6ejp69+6NCRMm4Mcff8Rpp50WcSKnTZuG0aNHIyMjA4sXL8b333+P448/HhMmTMCYMWPQGIbJdN++fTj66KPx97//Hbm5uXj55Zexbt06vPDCC9i7dy9OO+00/POf/4w4zcRd4ln40+JPCCGEEBIdounqn5rKcSBxj4hXRXft2hWPPfaYHWnR5NNPP8WkSZPQr18/zJ8/H6l/qbtp06Zh7969mD17NqZNm4Z//etfpq739NNP47vvvkO3bt3w1ltvIS0tDQDQrVs3HHbYYejatSumT5+O8847DwMGDHDsuYi9uB3V367gftzOjxBCCCEketTWRs/VnxA3sUG6aFNZWYlJkybhww8/jOg6U6ZMAQBMmDDBJ/olN954IwDggQceQE1Njanr/frrrwCAgQMH+kS/pFWrVujduzcAYNmyZZEkm7hMNIL70eJPCCGEEBLf7NwJuLkBmdriT4ibWJYuycnJ2Llzp+7xuro6PPXUUxg9erRlj4DS0lIsX74cAHDccccFHe/Tpw86deqEiooKfPDBB6auefDBBwMA1q5dCxFQ82pra7Fp0yYAQGZmpqU0k+ig5ervZMNqZ1R/OyYQCCGEEEJI+JSUAMXF7t6TFn8SDSxLjkDRHEibNm1QVlaGhx56CDNnzrR0j2+++QZerxepqano0aOH5jl9+/YFAKxcudLUNS+99FKcdtppWLNmDa6++mps374dQghs2rQJ559/Pvbs2YO0tDQcf/zxltJMooOW8HeyUZXCP9LJhcZGIDnZnjQRQgghhJDwKCkB2rdX/o6GNd7jUcaVhDiN487Rp512GiZNmmTpuxs3bgQAFBUV6Ubub/9XTZXnhiIlJQVvvfUWFi1ahJtvvhkdOnRASkqKL0BgdnY2nnzySfTq1cvwOnV1dairq/P9X1FRAQDwer3wxnDt9Xq9EELEdBqtUF/vQXKy8Gs4hfDA63WmBfd6gdRUDxobRUTCvbHRg+RkOJZOYp1ErSuE2AnrCSHmYF2JTbxeYOFCDy6+WCAlxYP6euF4zKimJuW+sijk5HhQXi7Q1AT8+itwxBHO3j+WYT2xhtn8Mi38//jjD2zevNnvsxUrVqCwsFD3O9XV1Xj55ZcNzzFCimkjt/usrCwAQHl5uenrPv7447jpppswcOBAvP/+++jSpQt+++03/O9//8OFF16IQYMGhbzG1KlTceeddwZ9XlpaitraWtNpcRuv14vy8nIIIcLeBjGWqaoqwN69Zaiubv6svr4AO3eWOXK/yspsJCdnYtu2XREFhKmszAGQgZ07d9mWNmIPiVpXCLET1hNCzMG6Epvs2+dBenoh0tL2AMjHli0VyMlx1hhTXp6Oqqok7NypxCdr1y4HX31Vi2XL0jF7djZ+/ll/KXWiw3pijcrKSlPnmRb+c+fOxV133eX32emnn27qu9dee63Z2zjO448/jmuvvRbdunXDkiVLkP6XauvXrx+GDx+OPn364Mwzz8SDDz4YFExQza233oobbrjB939FRQU6d+6MoqIi5OXlOf4cVvF6vfB4PIZeFPFIcrIHHTq09Vsvn5bmQVuHorVkZnqQmQm0bt0Wf809WSIry4OUFDiWTmKdRK0rhNgJ6wkh5mBdiU327AF69lTGiwUFHuTmpqOoyNl75uUpWwi2bZsLADj6aOD337Pwxx8eHHhgyx4Tsp5YIyMjw9R5poV/165dMWTIEN//n3zyCY488sigyPiSpKQkFBQUYOjQobjqqqvM3sYPKaCNIvbv27cPAJCfn2/qmvfffz8AZZeA9ABTbXZ2Nq666ircfvvtSElJwfTp03Wvk56eHvR9QHnuWC+oHo8nLtIZDkIAKSn+i/o9HiApyZmF/kIAaWmA1+uJODifk+kkkZGIdYUQu2E9IcQcrCuxR0MDkJGhjMNyc4Hqag/atXP2nklJSnwnWQx69gS+/16JNdCxI8eErCfhYzavTAv/8ePHY/z48X43WLBggaOzUjKgX2lpKbxer+ZDbd++3e9cI3bu3Ik///wTALD//vtrniM/nzVrFqZNm4ZkRl6LC7QC+SUnK8HznNjmT1njH/lWfEIoDb9d2wMSQgghhBBz1NXBt2SzoAAoK3M/DfK+9fXKJAQhTmFZakyePBk5OTl2piWIgQMHIikpCQ0NDbrB+3755RcAwOGHHx7WtT06Id/l5EJlZaUvxgCJT9LTlQbdCYSwT/inpCiBXgghhBBCiHuohX9+vjvCP3DnACn8udMTcZqIhH9WJIubTdC2bVsMHToUALBkyZKg4+vWrcOff/6J3NxcnHjiiSGv16ZNG1+gwXXr1mmeIz/PzMw0vXyAxCZpacrsqRN4vcr1IxX+gCL87bgOIYQQQggxT319dCz+avtjbi5QUaEYlBoa3Lk/aZlYFv6NjY2YMWMGHnvsMTz99NNBx++9917Mnz8/osQBygQDAMycOdO35Z7koYceAgD885//9JuE+O6779CvXz+cddZZft9JSkrCuHHjAChB/gKvV1dXhyeffBIAMGbMGK4tiXOctPjbJfxp8SeEEEIIiQ7RcPUPtPgnJTXHjqLwJ05iWdnOnz8f1113Hf7xj3/gmWeeCTq+evVqnHnmmRg3blxEezEOHToU9957L9asWYOxY8fiu+++w/r16zFp0iTMnj0bJ510Em699Va/7zz77LNYu3Yt3njjDaxevdrv2D333IPDDz8c69evxymnnILPPvsMW7Zswccff4xRo0bh999/R+/evfHwww9bTjOJDeJF+NuxZIAQQgghhIRHtNb4a604Tk11zlOVECAC4b9gwQK0b98eX3zxBb7++uug46+99hree+89LFq0CM8++2xEibztttvw/vvvo6amBiNGjMChhx6K//3vf3j00Ufx9ttvIyUgettZZ52FNm3aYMiQITjggAP8juXl5eGzzz7Do48+iqqqKpx66qno1q0bTjvtNNTV1eH+++/Hd999h+Li4ojSTKKP08I/NTVySz0t/oQQQggh0aGuTjHkAEBhobK9XzSQ40pa/ImTWI53/vXXX+P+++/HkUceqXvO6NGjcd9992HWrFm47LLLrN7Kd63Ro0ebOnfo0KEoLS3VPZ6WloaJEydi4sSJEaWJxDZOB/ejxZ8QQgghJH5RW/zbtQN27nT+noGu/gDQti2wdq3ymxCnsGzx37p1K4466qiQ5w0fPhy//vqr1dsQYhk3LP52BfejxZ8QQgghxF3Uwr+oyB3hDwS7+g8eDOzb5869ScvFsvBPT09Hgwl/lMbGRjRR1ZAoEC9r/Cn8CSGEEELcRx3V363xmJbF/+9/B374wfl7k5aNZeHfr18/PPfccyHPe+6559CvXz+rtyHEMvFg8ZfCn67+hBBCCCHuorb4A8DWrYAbjspawf0IcRrLwv/CCy/E9OnTMXHiRE1X/vXr12PChAmYPn06xo8fH1EiCbFCWppz0VHtXONPiz8hhBBCiPsECv8rrwS++ip66SHESSwH97v88svxxhtvYObMmXj88ceRm5uLoqIiAEBpaSkqKysBAMOGDcPll19uT2oJCQOnLf6ZmQzuRwghhBASrwQK/65dgfXrnb2nlqs/IW5g2eKfkpKC999/H1deeSVSUlJQUVGBjRs3YuPGjaioqEBKSgquvPJKvPfee0hOTrYzzYSYgmv8CSGEEEKIHo2NigFGUlAAlJU5f1+6+pNoYNniDwAZGRl44oknMGXKFCxbtgy///47AKBLly4YPnw42nJPChJF3BD+dgh2rvEnhBBCCHEfrxdIUplB3RD+tPiTaBGR8Je0bdsW55xzjh2XIsQ20tOBigpnrm13cD9a/AkhhBBC3EVL+O/d6/x9afEn0cCyq79Z9u7dixEjRjh9G9LC0WpAnbT427U2n2v8CSGEEEKiQ6Dwz893x9WfkGjguPCvr6/Hxx9/7PRtSAtHy22Ka/wJIYQQQogegcI/Pd25HaEkRq7+XAZAnCQi4b9r1y5MnDgRPXr0QEZGBpKTk4N+OnToYFdaCQmLeBH+qakU/oQQQgghbhMo/N1Cz9WfSwCIk1he4797924MGjQImzdvDnmuh6WYRIG0NOdmbe0S/gCQnExXf0IIIYQQt9ES/h4PcNVVwJNPOnNPWvVJtLA8x3XfffehsbERn3/+ORoaGpCdnY0NGzbA6/XC6/Xizz//xMMPP4yCggJ89913dqaZEFM4bfFncD9CCCGEkPhFS/gLAXz+ubNjM9pESTSwbPF/9913ce+99+Koo47SPN6hQwf84x//gBAC99xzD15//XXLiSQkFNEK7hdpp8DgfoQQQggh0aGpSdvVf88eZWeowkL300SIU1i2+P/xxx844ogjfP97PB40aaigk08+GZ999pnV2xBimXhZ40+LPyGEEEKI++i5+peVObetH139SbSwLPyzs7ORnJzs9//vv/8edN7evXuxZ88eq7chxBTxHNWfFn9CCCGEEPfREv4NDUB1tbPb+hm5+nNigDiFZeHftWtXfPHFF77/e/bsicceewxCVVq9Xi+mTp2K1q1bR5ZKQiwQD8IfoMWfEEIIISQaaAl/KfidEv5Gwj45mWNC4hyW1/iPGDECN9xwA/Ly8nDaaadh7NixuOmmm3DIIYdg+PDhAIDFixfjl19+wcUXX2xXegkxTTwF96PFnxBCCCHEXbxeRWyrqa0FMjKcc/UH9C3+0hiUYlmhEaKP5WJ13nnn4e2338bMmTNx2mmn4dprr8Urr7yCb775Bj/99BMAQAiBzp07495777UtwYSYxengflzjTwghhBASv2hZ/LduBXr3Bqqq3E8PLf7ESUwJ/+XLl+OTTz7BgAEDcMoppwAADj30UPzyyy++c9LS0vDxxx/j8ccfxyeffAKv14tBgwbh2muvRatWrZxJPSF/oTVzmpysNOhOYNfafK7xJ4QQQgiJDlrCv7QUOOUU54S/EMYWf44JiVOYEv733XcfvvnmG0ydOtXwvMzMTNx000246aabbEkcIbGMHbOytPgTQgghhEQHLeG/YQOwZQvw1VfO3VdP+NPiT5zEVHC/H374AS+//DKuuOIK32fdu3fH7t27Q363oaEBn3zyifUUEmKCaERAtWtWlsJfn8rKaKeAEEIIIYmKlvDv0QMoLHTW4q9HcjIt/sQ5TAn/iooK9OnTx++zzZs3o8mEWtmzZ48v2B8hiYQdwp/B/YzJy4t2CgghhBCSqGgJfwDIyXHW+BAquB8hTmBK+Hfu3BlLly4N+txjtAmlCsENKUkCYqfwZyNPCCGEEOIuRsKfwf1IomFqjf9JJ52Eyy+/HM8//zy6dOmClL/2mJg4cSIyMzMNv1tTU2N6goAQq0SjiKmF//TpwM8/A88+G941GNxPn337lN9yWx1CCCGEEDtpanJf+BvZQ+kFSpzElPCfPHkyvv/+e3zyySf49NNPfZ+/+uqrpm5C4U8SEXXjvGYNsH59+NegxV+fHTuU3+XlFP6EEEIIsR89i39mZrMBwgkY3I9EA1PCv6CgAMuXL8eqVauwfv167Nu3D5deeikeeeQR5OfnG363rKwMN9xwgy2JJUQPt1eTSMHe0KD8H4lVmhZ/bUpLld9lZUC7dlFNCiGEEEISED3hn5Tk3NiSFn8SLUwJf8khhxyCQw45BABwySWX4Nxzz0Xbtm0Nv7Njxw5cf/31lhNISCiM9kN1Co/HX7DX1ADp6eFfhxZ/ferrFVe7srJop4QQQgghiYie8HcaWvxJNLBc1JctW4ZWrVqFPK9Vq1ZYtmyZ1dsQEpJoNdqpqYo4BZTfaWnhX4NR/fVpbATatKHwJ4QQQogzGI0hox0/qqVwzTXA3r3RTkXLwLJcGjp0qC/InxGpqakYOnSo1dsQEhKvV5khdZvU1GZX/5QUJR3hQou/Pk1NFP6EEEIIcY5oGI+MXP1bosX/iSeAkpJop6JlEAU7KSH2Emq21oogN0NaWrPwtwqFvz5NTUDr1hT+hBBCCHGGaBmP6OrvTzTeQUuEwp/EPUbCPz0dqKtz5r5qV3/AmksYt/PTh67+hBBCCHGSWLP4t0RXf0B5buI8FP4k7tHbgxVwXvhHavEHaPHXgxZ/QgghhDgJg/vFBrT4uwOFP4l7jBrttDR/q7ydBDbaVrZ9YXA/fSj8CSGEEOIkDO4XG1D4uwOFP4l7jNZnxbobPdf468PgfoQkHjt2RDsFhBDSjJHXKGDNqBMKBvcLhsLfHSj8SdxjNFubkmKPO74R9fXKBAPX+NtLYyOQlwdUV0c7JYQQuygujnYKCCGkmVBxotzyGpXQGEScxLLwHzFiBMpoiiMxgFGjbdc6fCOqq4GcHGvfpcVfn6YmZQbYidl2QgghhBCjMWRGBlBba/89Q1n8W6IxiGM9d7As/JcvX46PPvrIzrQQYolYEP5ZWda/T4u/Nk1NjPJKSCLi1BarhBASLl6vvvXdKeEP0OJPokNErv7jxo1D165dcffdd+PPP/+0K02EhIXR+iw3RHVtLZCZae27tPjr09jINV+EJCKc6CSExBLREP560OJPnCQi4b9q1SrceOONePPNN9GtWzecfPLJWLhwIZqoYoiLRNviX1urdA6M6m8v0tWfEJJYsL0jhMQDmZnAvn32X9dovMgxIXESy8J//Pjx6NixIyZMmIBVq1bh888/R6dOnXDRRRehc+fOuO222/Dbb7/ZmVZCNDFyCXcjuJ8U/lagxV8f+V6jMeNOCHEODmoJIfFAQQFQXu7MtY1c/VtiG0mLvztYFv5z585Fbm6u7/9Bgwbh6aefxvbt23H33Xdj+fLl6N27N44//ni8+uqraHBafZEWi5FLuJsWfytQ+Osj32t+Prf0IySRaImDWkJI/FFQ4Mz4w0jkujFuJS0X27fzy8rKwogRIzB8+HDk5uZi6dKlOP/889GhQwfccMMNWLdund23JC0cI5dwN4W/le38AAb300O+1+xsZ1ztCCHRge0dISRWMBq7FRQAe/e6e9+WKvxp8XcHy8L/rrvuwj7VaLyhoQGvvvoqjj/+ePTq1Qv3338/ysvL0b17d9xzzz34z3/+gx9//BEHHnggzjnnHJQ75TtDWhyhhL8bwf1o8bcf+V6zsoCamminhhASKXJgR+FPCIkHnLL4G9FShT9xB8vC/84770R1dTV+/vlnXH/99ejQoQPOP/98LFmyBKmpqTjnnHOwZMkS/Prrr7j11ltxwQUXYPHixfj5559RVlaGSy+91M7nIC2YWLH4Ww3u11IjuIaisVGZFHEquA4hxF1kO8f2jhASKxiN3aLh6u9GbKpYhBZ/d7C8S7YQAieccAJ++OEH3/8HHXQQLr30Ulx44YUoLCzU/F6vXr0wc+ZMHH744VZvTYgfsSL8rSCE/o4ELR21xZ/Cn5D4RwbppPAnhMQD0XL1j9U2ctEi4MQTnbk2hb87WBb+ALB69Wrk5OTg3HPPxWWXXYZBgwaZ+t7y5cvRGKulmsQd0jKshVtR/fPyrH/famyARIeu/oQkFhT+hJB4oqgI2LXL/uvGY3C/mhpg9GgK9HgnIuH/2GOP4W9/+xuys7NNf+eWW27Bgw8+iEMOOSSSWxPiI5oWf49HsUZbtfgTfejqT0hiQeFPCIknWrUCdu925trxFtxvzRpnr88JBXew7GTcpUsXnHfeeWGJfgCYMmUKSktL8cknn1i9NSF+RDO4X1oaUFnZHNWfDZd90OJPSGJRX6/8pvAnhMQDSUmA1+vuPWNV+G/fHu0UEDuwLPyff/555Ofn6x7fvXs3jjzySNx2221+0f8zMzPRunVr5OTkWL01IX5E0+KfmgpUVCjCPzmZ0fnthGv8CUkcamsZ3I8QEn84YdCJx+B+TrfbNJy5g2XhP3z4cOzZs0f3eGpqKtq1a4cZM2bgn//8p9XbEBKSxsboCn9p8U9KovC3k6YmuvoTkgisXKnUYwp/Qki84ZQ3Z7wF94vFNJHwsSz8RYhakJeXh4ULF2LBggVYuHCh1dsQEhIpELVwWvirXf1p8bcXOaFDV39C4pvUVOV3Q4PSVnMASQiJF3JygOpq9+4Xq67+tPgnBo5vJNaxY0eUlpY6fRvSgjFy9Xd6kGmXqz8bvGDo6p+YLFwIvPpqtFNB3ES9tj8jg8KfEBI/FBQAZWX2XlOI+AvuR8NWYmA6qv8nn3yC5cuX+302ffp0w7X61dXVWLRoEbp06WI5gYSEItpr/NUW/3CDwMiGn1v6BUNX/8SktNRd6wmJPhT+hJB4RQr/Tp3cuV+sr/E3GnNHAg1g7mBa+C9btgx33nknPB6Pz81/+vTpuuerz3vqqaciTCYh+hg1QmlpzYNOJ4jU1V/d0L35JvD118C0afamMV6hq39iUlUFlJdHOxXETSj8CSGxSijBWVjojMVfj1i1+Mv2u75eMciQ+MS08B82bJjvbyEE7r77btxwww26Fv+kpCQUFBRg6NCh6N+/f8QJJUQPo+B+mZnOika7XP09HuCXX4C5cyn8JXJCJz2dFv9EoqrK/kEUiW2k8G9o8A/yRwgh0SaUx6UTrv5G941V4d/UpBhi6ursFf5yEoQWf3cwLfyHDh2KoUOH+v6/66678M9//hNt27Z1JGGEmMUouJ8bwr+6WvkdaVT/Vq0Ag40yWhxqV/9Esfjv2gWcfz7w4YfRTkn0oPBveUjhX1dHiz8hJL7Iz3e3z4rlqP7Z2Uo7bifhLpElkWE5uN+yZcvQqlUrO9NCiCWMXP2dDgyXlqbMzHo8kUf1z89n8BQ10pMjIyNxhP8vvwCLF7fs90zh3/KQwr+2lsKfEBJbhLI0Z2fbP46Mx+B+jY3NFn87kcKfFn93sCz8hw4dihQ9M6uKiooKXHLJJVZvQ0hIoin8U1ObB7WRCn/Oevoj32tSUuJ0CCUlyu+KiuimI5pwjX/Lo75eGeTW1FD4E0LiC7d3FopWcL+ffgJ+/13/uNPCn7iD49v51dTU4Pnnn3f6NqQFE+01/rKBthLVX42TQQjjEacix0aTkhKgT5+WbfGuqlI8ZUjLob5esZrR4k8IiTVCrfF3YhxpZMxwehtqPebNAxYs0D/e1OSsq3+iGHhiHdNr/F966SW88soruPbaa3HCCSdgxIgRpr5XTzVDHKapSRlMapGergw2nUK6+gORW/wbGhTrdjyze7cSp6BXr8iv1dioH7shXtmxI1j4l5YCK1cCJ50UtWS5Sl0dhX9Lo76+eXeOjIzYdGMlhJinqQn49ltg0KBop8R5nLL46004eDzREcFr1ihjFD2cWuNPwe8upofVV199NSorK7Fz506ccMIJWL58uembeLhJOXEQI8uw00VP7eofSXC/5GRlgiI11b60RYPHHgPmzAG2bo38Wur3mihNSFUV0Lmzv/D//HNg7NiW0/klyrsk5pHCv7ZWmYylaych8c2WLcARR7SMfsttV38gOv1kcjKwd6/+cenqb7c9lxZ/dzEt/B999FG8/vrrmDBhgu+z+fPno7Cw0PB7u3fvxllnnWU9hYSEYNcuoKgoOvdWC/VILP5paYnhAm2nS5xa+CdKhyBE8NZAVVXRSg0h7qB29U9La9nBLQlJBOLdSBEOTrn6x9skeFOTkhd2e2xxIthdTAv/8ePHY/z48X6fDR48OOR2fjt27IBIlFE7iTnq64FbbgHee0//HLeKX6TCX24LGM/YLfzjfemDFrm5/sH9KisTb0mDEfE44CGRoXb1p8WfkPinJU3eRcPiH4vQ4p8YWB5Wb9q0CW3atAl5XlFRETZt2mT1NoQYsnat8jtaQeA2bgQ6dmxOgx0W/3geFEt3XjvweBJPIAoRnEdVVYo1tCV1eon2XokxtPgTkli0pDgdmZnObOcXa4RKU2Ojkhd2C/9YzItExrKdqUuXLqbOS0pKMn0uIeHy66/KbyPhL4RzVsaxY4EhQ5rTYFW0S4t/bq4SOCUz0740ukmiReF3gsxMf/f+qiqgdWulM01Pj166CHGKQIs/hT8h8U1LEv4ZGc4EiY6lCfD6esXj1Gg3AaeEPy3+7mLZ4l9WVoYzzjgDp59+Oi688MKg42effTYmTpyIipa8YTVxnMpK5beR4NxvP+CPP5y5/8CBwAknNKchUlf/3FxndyFwmro658R/onQKUgBJqqqA4uKWs9Y/lgY7xB0Y3I+QxCJRtuT0ekMvKYxWlH0371ldDeTkGJ/T1KS041zjH99YFv7z5s3DggULsGLFChRpRFbr378/5s2bh8GDB6OsJW9aTRxFiiUjsbn//s1LApwkkqj+0tU/EYS/E1Zr9baJ8YwQwXEQWprwlyTKRA4JTV1d/Lv6//RTy9i6jBAzJEJ/DCgTGNHwVAzlhZqRYf+2eUZUVSnC36hfpsU/MbAs/N9//30cccQRWLt2LR5++OGg47fffjt+/vlnJCUl4cEHH4wokYToIcWSUSckB5xOY4erf14ehb8W6enudoJOEug22BKFf1qa/YMHErvU1SmDynh29d+1C1i5MtqpICQ2kGOueBdrjY2xGVw3J8fdMYEU/kZwjX9iYFn4r1q1CnfeeScKCgp0z2nfvj3uvfdevPXWW1Zv42PRokU4/vjj0apVK2RnZ2PAgAGYOXMmvBH4iLz77rsYM2YM2rdvj/T0dBQXF2Pw4MG45ZZbsH379ojTTJxHNoxGkeTdEhlJSeELfznjKy3+FP7aJIrwl8H9Ai3+7dq1POGfCO+TmKO2ttmbKV4DmCaKhZMQO5D1Id7b8aYmc8Lf7iVqocRufj6wd6+99zSiuloZmxjhtKs/JwDcwbLw37NnD/r06RPyvP79+2Pz5s1WbwMAmDZtGkaPHo2MjAwsXrwY33//PY4//nhMmDABY8aMQWOYi42ampowfvx4jBs3DoMHD8bixYuxbt06PPvss6iqqsIDDzyANWvWRJRm4g7xLvxlQ5eZqWzxRld/bRJF+APBrv5er/J8LUlYJNL7JKGprVWsSXKNfzxa/LlikZBmZH8V7/1WNC3+RpMJ++8PuClD6uuVsbJRPAOnt/Mj7mC5uOfl5aGkpCRkxP6SkhJkhZpGMuDTTz/FpEmT0K9fP8yfPx+pf210Pm3aNOzduxezZ8/GtGnT8K9//cv0NSdNmoQXX3wRX3zxBQapFu117doVffr0wTHHHIN0hteOC6SVPDtb/xxpTXcaK8JfkpUFlJcrwt9oEiPWqatTnsXuzjRRLMRaa/wBJZpuvA+gwsGs8F+0CCgoAI480vEkEQeRwl+6+ldXRztF4SOtb07tEENIPCHtbfEe5C9aa/xDccghwAcfAGPGuHO/xkZlHCL75owM7XO4xj/+sWzxHzRoEO655x40GUzde71e3HPPPX7iOlymTJkCAJgwYYJP9EtuvPFGAMADDzyAGpNqad26dXjkkUdw9tlna6arR48e2L59O4499ljLaSbuUVUFbN0KjB6tf04sW/wlmZmKRSknJ77XPtfVAa1a2b/nbSJZiDMzm706ZEcXahudRMPs+3zkEeCBB5xPD3GWpiblncdzcL+yMqBfP+DPP6OdEkKiT6JY/M26+ttNqAnE9u2BnTvdS4801mRk6BufpPC3+53LcRCFvztYFv4TJkzAe++9h0GDBmH27NlYtWoVtm7diq1bt2LVqlWYNWsWDjvsMLz//vuYOHGipXuUlpZi+fLlAIDjjjsu6HifPn3QqVMnVFRU4IMPPjB1zWeeeQZNTU0YbaQUSdxQU6NY+40a0HgQ/llZzZGv4134Fxbab9FLFOEvhP8OBWVlikU7JSV0Z1pVBXzzjdMpdIf0dHPlvF07YMcO/8+WLKHbdTySkhLfwf3KyoBhw4BVq6KcEEJigIYGZcwT7xPWsRrcr6DA3X6uoUExQAQGH1Yj1/jT1T++sSz8TzzxRNxyyy34/vvvceWVV2LgwIHYb7/9sN9++2HgwIG46qqrsGrVKtx8880YNWqUpXt888038Hq9SE1NRY8ePTTP6du3LwBgpclwu4sXLwYA9OzZEy+++CKGDRuGdu3aoX379hg5ciReeOEFCE47xRWh3C5jWfjLtGdmKr/j3eJfX0/hHwp1ea2oUIL4mLH4b9gAvPyys2lzGtm0mn2f9fXBLocjRwKff25/2oizpKYq7UJmZnwO9GprgR49gieiCGmJNDQodTkRhH+0tvMzIicHqKx0Jy1A8wSI0dbJdPVPDCKa55o6dSoOPfRQ3HPPPfjpp5/8jh100EG4/fbbcdZZZ1m+/saNGwEARUVFSErSnqNo376937lGNDU1+YL2TZo0Cb/99humTp2KAQMG4M8//8Sdd96JCy+8EB988AFeeOEFeAwUZV1dHepUI9eKigoAyvKGSHYacBqv1wshREynMRyE8MDrNW4tUlIUkWHnI2vd1+NRGsZw7uP1KtdRxE0SUlO9qK2Nv4Hxhg1Az55Aba3nrwj1IuJnUOdxWhpczxcn6op83/LZqquBjAwPkpJEyDJaXa3kb6jyHsvU1wMpKR6kpQnU1IR+n9XVHmRlIeCZk5CR4Y27OpKomKknQihlvKrKg8xMgcbG+CvHDQ0e5OQI7NsXf+0ziQ0SafxVXw9kZXlQVxd5Xx9NGhqA5OTQ7ZGZsWY4CKH8GOWdHC+4QX29YrxKTvagvl77nTY0eJCeLlBfb2+6lMmjpL/0U2LVEzcxm18RO7icffbZOPvss1FSUoI//vgDALDffvuhuLg40kv7xHSmNIdqIAMHlpeXh7xeeXk5Gv6ayvrkk0/w3Xff4dBDDwUA9OvXD8cccwwOPPBAvPTSSxg6dCguv/xy3WtNnToVd955Z9DnpaWlqI3hsOxerxfl5eUQQuhOpsQT9fUF2LmzzPCcqqoU7N2bgZ077Yvwp3Xf6upM7NnThJ07zU+HyuvU1qYCaI3a2grU1QE7d8ZuGdKiT59i/PlnCaqqCtCpUyP+/LMOxcWRLQRT53F9fRZ27GgMK28jxYm6UlOTh927q1BXl4edO8uwbVsKmpoyUFPTiPp64/e+bVsaysoysHNnhS1piQb79nng9eahvr4BJSUN2LnTuIzU1xdACATUtWLU1OwN+V3iDmbqSUNDAerqalBRUYD6+r2oqkq3tT12g8rKPAhRj507k7FzZxxGJyRRJ5HGX7t3ZyAtLRc7duxBbm4crt35ix07klFfn4WdO43N62bGmuFQWZmFsjLjMY3d9zRi9+501NR4UF+fih079iEnJ/id1tUVoKqqEmVlofMrHHbtSgZQhN2792DnzsaEqiduUmnSRcS2lS3FxcW2iH0n2aeKOHbsscf6RL8kKysLf//733HbbbdhxowZhsL/1ltvxQ033OD7v6KiAp07d0ZRURHy8vLsT7xNeL1eeDweQy+KeCItzYO2bdsanlNcDKSmetC2rfXdJczcNy9P+QmRHM3rdOyo/F9UlIeqKqBt29gtQ3oUFbVFcrIH7dunIS0tK6x80EKdx61aKS5mkV4zHJyoKxkZHrRpk+F7tsxMoE0b5fkaGozfe1oakJTkQdu2GuF2dfB6lUCLOTl2pD5ylACWHrRunY6srNDvMy3NAyGgUdcKXS0LRB8z9SQtzYN27dLQ1ORBx46FSE+3tz02orZWO0J1uKSmetCpUwa2bvWgbVuDbWQI0SGRxl+ZmUpbnp/fOibbYrP1vrQUyMvzoG1bfQMjYG6sGQ45OcqySKNL2n1PI7KylPzKzfUgPz9TM13p6R4UF6chJcU4vyorleczu/vJnj3K71atWqFt28SqJ26SYbKjczykxY4dO9ChQwfD6P96SAFtFLFfivn8/PyQ11N7DvTr10/znIEDBwIA1qxZg3379uluRZienq655V9SUlLMF1SPxxMX6TRLUpJx65KRIQPR2LcHk8cTfD0ZICacbJXXkdsRZmQkoawsvGvEDkkQQulEa2vteQaZxzKSrNv5Yndd8XgUV7qkJOXZ6uuVZ5MRz41uU1cn3fHMl+OvvgLefx+4+24bEm8DXq8ygZGR4TH1PuXAIfCZGxuT4rSOJCah6onHo4gEAMjNTYLXa297bER2tj1rR5uagPx82bZxPz9ijUQZf8lAb01Nnphsi83We69XGbuFqtNaY75IUK5n3AfafU8j5M4rqalyaZZ2ejIyPGhsNE7Xv/8N3HAD0LVreGnweJr79USpJ25iNq9sEf5btmzB1q1bUa8R8WH37t2WrysD+pWWlsLr9Wo+1Pbt2/3ONaKgoAAZGRmora1Fq1atNM/Jzc0FAAghUFZWpiv8SfQxO5iLh+B+8nc871cvnz0723pwP/lOA2eKU1LiP4gQEFxma2oU4W8muN++feGXjW3bmvcfjwVk5GCzwf30LAbxvoVUSyQrqzl4lFtLN2U7VFUVuddLY6Pi0WX3VqWExCOxHNxP1tGmptCB+6K5nV8ozFrM7aCxUWkjQ421zIyna2r0twTUgkv53SWi4v7pp5/immuu8QXMs5uBAwciKSkJDQ0N2LhxI3r16hV0zi+//AIAOPzww0NeLzk5Gf3798fXX3+NHTqheeXnHo8HBQUF1hNPHKemRhlMhsItMW1F+MvGv1074B//cG+SwgnUwr+01No1HnwQeOcd4NNP/Tu9RNrn3uNpfu/SHdHMdn5WhH9JSWxtfReu8JcBkNT/y+uQ+EEIRSRkZCjtpFvb+W3YoPwuKVGCj0YChT8hzTQ2KvU5FvvldeuU3xUViju9EdHczi+UsE9Odi998j6hhH9qaugxan19eGMVRvV3F8s+FD/99BNGjRqFrVu34uijj4bH48Hhhx+OIUOGYMiQIT4LfGpqKoYOHWrpHm3btvV9d8mSJUHH161bhz///BO5ubk48cQTTV1zzJgxAIDVq1drHpeTGAcffDCt/TGOWStOLFv8JYWFwCOPmN/fPBaRjXZWlvXB8e7dyiBdfT3AnDCOByKx+NfUJIbwT0kxJ/ybmoLdIKv+igcXr3WkpeLxNK8hTU52z8JTXq7E0JBtSiQ0NgK5ueFZsghJVBoalDodi/3y9u3KuM9M3xet7fzMkJHhngeonJQ3Y/EP9c7DFf4U/O5iWfjfd999GDBgALZs2YJPPvkEmZmZeOmll7Bs2TIsW7YM69evx8qVK9GuXTtMmDDBcgInT54MAJg5cyYaA0rjQw89BAD45z//6SfSv/vuO/Tr1w9nnXVW0HeuuOIKtG7dGt9++y1WrFjhd6yurg5PPfUUAODGG2+0nGbiDlVV8K2NNyIehL8kUSz+Vl39y8oALUeb1NTYHGBYweNpfp5wLf7hlo2SEsXqESuoLf6hnqW2VhlYqj0kSkoU75hEKQstAfWEoNsW/4oKxdKv4+AXFhT+hDQTy67+JSVA377mhH80Xf1DWfwzMpR+0A3stviHM1ahxd9dLAv/Tz75BP/+978NreIDBgzAww8/jEcffdTqbTB06FDce++9WLNmDcaOHYvvvvsO69evx6RJkzB79mycdNJJuPXWW/2+8+yzz2Lt2rV44403giz7rVq1wquvvoqMjAyceeaZeP311/HHH3/giy++wMknn4w///wTEydOxLhx4yynmbhDba3S8YTCLSu6XcK/Ja/xLysDZJzORHT1lx1bZmbzOjhp8XfC1b+0VBErsUI4rv779jW7h8vBT0kJ0KkThX88IQfW8l0mJ7sn/CsrgfbtrbdHahobZeCryK9FSLzT1NQcODnWCEf4R9PVPxSxKPzNeGxZdfUn7mBZ+JeWlqJPnz7NF0pK0ty//tBDD9V1qzfLbbfdhvfffx81NTUYMWIEDj30UPzvf//Do48+irfffhspAbX2rLPOQps2bTBkyBAccMABQdc77rjjsHr1ahx//PG4/vrr0bNnT5x66qlITU3F22+/HdFEBXEPs8LfzAylHdgh/OPZ1V8+eySu/vv2KVvbBVrVEsXVH1AmNKTwV1v8zbj6h1s2lOjp1tNqN1L4m5ng2rdPKUsyrwAlWGGXLvFbR1oi0pU2Gq7+FRXKdq52WenV3ieEtGRkFPhYnJDfti084W/W1d/Oum/mWm4Kf9k32zExa0X4JyWxbXULy/NcRUVFvq30AGU7vZ9//jlom7z169f7nWeV0aNHY/To0abOHTp0KEpDRBfr3bs3nnvuuYjTRaKH2X1a3WpQkpLC7wQDXb3i2dVf5nEkFn9AGagHrslNdIu/mYmNhgZ3o/w6QTgWfxm8s76+Wbj99BNwyCGJMwnUEpAW/7Q0pW1w29W/XTsG5CPEbmJZ+G/eDAwebG7Cz6yrf0qK/csC4tHV3wxW1vjHkoEi0bGc1T179sQbb7zh+//ggw/GlClT8Oeff/o+27x5M2666SZ06dIlslQSooFZ4e8WkUT1l8Sz8LfD1R9QhP9fu3T6SDSLf0aGv8XfzMRGuIOOWJw9t+Lqn5nZPPhZs0YR/vFaR1oickDp8QBt20bH4m+n8I/3yTdC7CBWXf3lTjCZmebEp1lXfxlh303kOMEN5FImM8I/1NjCisU/OTk2xyyJiGXhf/LJJ+Puu+/2ra+/+OKL8fPPP6NXr1445JBDcMghh6Bv375Yu3YtLrjgAtsSTIgkEYR/IImwxj8nR1lba5XiYsVVTz0DnCjB/dQW/7q68Cz+4UYflteOJaESjvCvq1Pqt9rVv7ZWiVmQCGWhpaAeWL/8cnQs/nYOnjk4JSR2Lf6VlUqAYLNjqXCEv53tVqwF95M77ugJf61ddvSwKvyJO1gW/ueddx4uvfRSJP/1ts444wxcffXVqKurww8//IAffvgB9fX1GD16NG677TbbEkyIJBGFfyKs8bc6c1tbqzx/cTGwdat/R5Aorv5As8W/tjZ8i384neO+feZ2vXCTcIR/fb0yeJPCf9cuZWu2RJkEaimoB9bZ2e4H96OrPyH2E6vCv6REGUOY6WMA8xPqdrjAh0ssufrX1yt5CoSesLAS1Z9r/N3D8mqVTp06+ba+k8ycORN/+9vf8PHHH8Pr9WLQoEEYMmRIxIkkRItEFP7x7OofaaO9Y4fSYRcXA+++2xzdH0gcV3+ZR7JDl1b5pqbQzxeuq391tSK0du2ynl67UQf3M7MlUFpac15t2qRszeZWsE5iD4EWNbdd/Sn8CbGfWHX1D1f4m+1XnbD4h8Jt4W/k6l9X1yz87Xb15xp/d7F9E4uBAwdi4MCBdl+WkCBqa5UI8LGCFeEfOHOamhr/rv5WkR12cTGwahUwbFjzsUS3+NfV2e/qX12tBMeLJaTwN/M+6+oU4S+EMkGyd6+yNRst/vFFoPB309W/vh4oLLR/nawZN11CEplYtfhv394s/M1MEJt19ZfB/ewkVBuijm/jNGpXf618Uwv/UDCqf2xj2xzL9u3bsXLlSqxcuRLbAyNzEeIAiWDxD2zo3LSG2U2k6Zau3EVFwA8/KJ23JJEt/k4F95MW/1hCCn8z7zPQ1V9ODKWlJUZZaCloWfzdEv4yyJedFn85UUdIS0YK/1hri0tKlAliu139oxHcz82YT9Lir9c+V1Qo8XUAc67+XOMfu0Qs/J944gn07t0bnTp1wpFHHokjjzwSnTp1Qu/evfHEE0/YkUZCNEkE4a9FvFqS1M9upZMsK1Osc6mpimhVC/9EsvKqLf5SzJsN7peaar6MxeIaf/kMZt6nXFMYKPzp6h9fBMamsKudNItZAWAWdbBJQloq0tU/1iz+Trn6223xN2PdtnOSO1TaQ63x37q1eUwWKu0eDy3+sYxl4d/Y2IjTTjsNEyZMwIYNGyCE8PvZsGEDJkyYgDFjxqDJrel90qJIVOEfr6ifPT9fmSEOh717FeEPALffDhx1VPOxRHH1D7T4S8xa/MNZUxnrrv5mLf4yr0pLGdwvHgm0+Ls5senxKD92DiizshgzgJBYdfVXe4bF+nZ+odpCuya5164FrrrK+Bzp+aAn/IcPVzwpzBCupwLX+LuL5ax+5JFH8M4772DgwIF45plnsHr1amzbtg1bt27FqlWrMGfOHAwYMADvvPMOHnnkETvTTAgACv9YQz24LihQLPjhUFamfA8A7r4b6Ny5+ViiuPoD/hZ/iZnn83rDG2jFsqt/OMJfWlgrKoC8PPuFHHEWswNrJ7FzsiErixZ/QmI1uN/u3UrsJyei+rtt8bdrkvvbb4GvvjI+J5TFH2gOuByqPQ3XU4EWf3exLPyfffZZnHHGGfjyyy/xt7/9DQcddBCKi4vRvn179O/fH5dccgm++uorjB07Fs8884ydaSYEQGII/3h161cjG2v1s0cq/ANpCRb/hgbg4ouBV17R/344A4FYdPWXwt+M9SRQ+FdWKmsMW/oEW7wRTeHvxEDS7pgBhMQjdlr8n3kG+PTTyK8DNFuPnYjq77bF3y5X/zVrlIlzo/ZQLskyEv69epm7X7gTFlzj7y6Whf+mTZtw6623IsnAPyMpKQm33XYbNm/ebPU2hOiSCMI/EWY45TM7KfwT3eIvBxVff208Mx9OPsSyxd/MhJeM6i+Ff0OD8j8tA/FFtIS/OrYAXf0JsRc7hf/SpcBnn0V+HTXhWPyjFdU/FHa5+m/fDvToYZwfoYT/qacC++/f/L9Rm2pF+LNfdw/Lwj8vLw9t2rQJeV6bNm2Qr96QmxCbSAThr0U0Gr+TTrL+XdlJRCL8X35ZEbxGFv9EEP56Fn+5FrmwENizR//74eRDLK/xB8xFBpZr/NWu1bT4xxfREv7qsmYnDO5HiL2u/tu3Az/+GPl11Ngt/O22+Lvp6r9nj7J0sqpK/xy18A81wWGULiGUfjucCQvppUHh7w6Whf+QIUPw8ccfhzzv448/xsiRI/0+q6iowCWXXGL11oQASFzhHw0++MB6ByM7Q3WjXVgYnvD/8UfgpZeUDkOLRHH1BxTBq7c/b2GhEuRQj3CFfyxa/M2KQBnVP9Dd0eOJ33rWEgl3G0q7CGeSKRxo8SfEXot/To6xKLWC2b4ynO387O53zLj627WDTW6ueeEf+E69Xv+0Gm1p6vWGPyEkLf7EHSxn9ZQpUzB58mS8//77uue89957eOihh3D//ff7fV5TU4Pnn3/e6q0JAZC4wt/tdf9SsK9fb+37Whb//HxjARtITY2xdTpRXP3VFn8tq6EZ4W92oBXLa/zNIC3+cgAn6wUtA/GF2YG13Thl8afwJyQ2o/oL0dxPmA0Ca3Zi0m7DjpsWfyD05IoU/lqeDXIbXkmgx2LgdaTwf+wxZRvAUMg1/uzX3cHyPPzDDz+MNm3a4NRTT0WXLl3Qt29ftG3bFgCwY8cOrFu3Dr///jtGjRqFO+64w++7NfSTIzZQV6d0PLFCvAb3kzO34Qh1NVrCPycnvMHxvn2KFVyPWMgnu/B4FEGulT9GHSqQWK7+oZDCP9DiH8+eNS2RRHT1p/AnLZ1YjOofaEAwM24w2z4lJdm/xt+t4H4eT2jhL93ttSz+gXlkNE6RFv/6euC665QtAM86yzh9tPi7i+Xu+LnnnvP9vXnzZt0AfosWLdL83JNII3kSFdSzu7FAvAb3k52B1cGslvA3Ozh+6ingvPOUc2NNpDqBfN85OcpSiEBhEjizHkgiuPrL5wtV9tUW//r65vMp/OOLWBD+dgf327XLvusREo94vUr7HKnFX7bzdri0V1crfWs4RNPVPxR2BfcDzC+n0BL+gUv0Qln809KaPRrN3JNr/N0lou74P//5j6XAfWVlZbjhhhsiuTUhYeHGBEG8CpKqKn0LtBnkLLj62c26w151FXD44aFd/RMJucZ/zx6gXbvmz4VoXteuR6JE9TeDjOqflqZsRSQ9QrjGP76IBeFvJ1lZDO5HCGCPK3pVlSJK9+yJ3JgjrxUO4bj622nxd8vVX21ssCr8w3X1l277GRnKNryhoMXfXSLqjs8991yfe3847NixA9dff30ktyYkLKzOJAoBbNwI9OwZ+lp2CX/ZwSQnAxs2+N/bCaqqgKIi64NZre38wol8XVen/DgxSI81ZNnxeLSXN0ixq0c4a/xra2NrKQxgLap/aiqwe7cSlRigZSDeiAXhH+nEr3pgSld/QhTsCLorxXptbeQGACvCP5yo/tEI7hep8JcTG+EI/8AJjnAs/nK9PgC0aaP03aHgGn93sTzHsmzZMrRq1crSd1u1aoVly5ZZvTUhANyx4peVAb16+X+mNyttl/BXN/aB93aCqiqgbVvrg1nZWDc0NDf4Ziz+snORMQZiadmGk8jnrKnxD07p8TTvVa9HOBYAuUVgLBHuGv/0dOX8PXuUqMRA/HrWtFRiIap/pKjFAYP7EaKgt+d7OEix3ro1UFoa2bVCxQrSwqyrf7SC+0Xq6q+3La4edlj85SRpfj5QXh76nrT4u4vlrB46dChSTPTm1dXVuOuuu/w+S01NxdChQ63empCwsSqAduwI/sxO4a91nbQ0RQy7NfspLf5WB7PymdWzwmasYrITqquLPYHqFOp3WlMTPEgxcnX0eMIT/rE4e241uJ9a+Dvp6l9VZT3IpRZGgRpbCrFg8Y+UQOFPV39C7NltRwr/4mKgpCSya1kJ+BzLwf3scPUP3B0nFFaD+9XWKteX3qqA8ttMnnGNv7s4PsdSVVWFO++80+nbEGKIVbGg1RE5bfFPT1caazNro+xg3z5ltj1SV3/1zLkZF0C18G9JDb6exV+itZ2OxM7tfaJBqOCFauSAJTlZEeN5ecrnTg4QZswABg6073qZmcBvv9l3vXgkFrbzi7S8qAe+eXmKJxghLR07XP2llT5awt+sR1I0gvvZ4eovlw+afVda4w8zrv6nnALcdZe/q79Z4U+Lv7tEPA8/f/58vPfee9i6dSvqNXxStD4jJFLCHcjJWUwjN2otnBb+Ws8hI9xKy6PTjWJdnbJ/vB0W/3AG+DU1yiBauvq3BNTvu7ZW2y0xN1eZ9Cks9I8JAMS/8A/HCqsWjPv26bv627m7R0WF/ZMKLd3q39gYncCdgWv8IyknauHfurW5dauEJDp2uPrLutW+vbk9342IJ4u/267+Zr0zrLr6b9+ujFvUrv7hCH+u8XcPy8K/qakJY8eOxXvvvQchBDweD4TOW+PWfcRukpKA//s/8+drBSwxQ2mpdkfi9Br/urrmwWVNjbPR2evrlbVYkQr/+vrwhX9BQcsS/kBz2dErj3l5zcJ/7lzg3nuVAJNC2DPQiiZW3a9TU/WF/5AhwL//DZxwQuTpKytT8t0OZHdoJqBSIhMLrv6y3lh1/Vc/A11SCVHqgJF3mlmkxb1NG2DVqsiuZVX4R2s7v1DSyI4xpdrV38y7srqdn8zHQFd/M/ekxd9dLHfHM2bMwIcffoi7774bRxxxBE499VTMmTMHHTt2BABs3boVr732Gj788EP897//tS3BhEh69zZ/rlXBVFnZLDgkTkf1lxZ/ea19+5wX/gUFyjpqK0Ri8ZfCv6XMDarLTo8e/m7gcp1bXp5ieQaUyR/1ezFr8a+t1V5GEG3sEP6By3Y++8y+NddS+NvhRSAndij8oy/8Zb2xQ/gTQhTs6Ldl3crKitw7KtSuOFrE8nZ+duCUxT9wuZMU/NJ639Sk3Jdr/GMPy13Ziy++iClTpmDSpEkAgOTkZBx55JHo3r2775zzzz8fV199NT7++GOceeaZkaeWkL/IzAzPwmd1Zlprexi31vjLRtDpQFJ2WPyTkoJnzkM14lL4W3Vl69UL+PVX4JlngGOPDW8iKJrIsnPVVcF5LoS/8A8sf3JSKBTl5UrexhpqARWqfKjrWFqav8U/8Lt2RVmvrgY6dLAn/yj8FWJJ+Fsl8Bn69AEuugigTYO0dOyIn5GcbBwp3ix1dcpYJtz7x+p2fnZgxeIfKNbNBPeTEyjS1b+6WnkXXOMfe1jO6l9++QUnn3xyyPOuuOIKvP/++1ZvQ4gmxx0HHH+8+fOtuvo7Lfz1ovqrhb/TW0fV1yuiyurAWLqgB1r8Q3Vqkbr6b9ig/F6zBtiyxdo13EY9SPrb34Brrmn+X+aXkfBPTzeXX2VlsSn8gebnDGfQY+Tqn5Jib7C1wkJ7rkfhrxAL2/nZLfwffNDcNlWEEGNk+2CX8HfK1T9a28hGOjlg1uIvxyZmXP21gg5Ki7/8XVWlCH+zrv5c4+8eEc2x5Kum1jIyMrB9+/agc1JSUrA10ogdhAQQbmNodduZqipFcKgbJDeC+8lI927sGV1fr4hLq5Z3r7c5f9WdgxmLf35+ZGv8hVCWY8RTlO1QZVcG9wP8hb/HY35wVFYWvuUjGpjt6PVc/RsalLWhdr1/IZQJE7uEf24uhX+sWPwjWYtMV39CtIlUmMq6ZYfwr693Lqp/PLv6p6ebn/zU8o4NdPXXCjoY6OpfWUmLf6xiOau7dOmCtWvX+v7v2LEjFi5cGHTeyy+/jEyt0NWEuEhmpjWXebnHvbpDctPVPzvbHVf/7OzIhH9ycmRr/K1SVaVYx+NF+Ifq7EO5+psdHFVXOxsXwg5CuU6q80rt6q+ue+XlQNeu9r1/j8c+4d/YqFyLwj/6wj/S/cYp/AlxBrtd/Z2K6t9SXP21xrGBRh2tSQS1xT8pSXkX2dlc4x+LWBb+gwYNwm233YaSv/Y7GzlyJB555BFcc801eOutt/DWW2/h8ssvx7Rp0zB48GDbEkyIFbKzFTEULjU1QKtWwVZ3p6P6q4W/Gxb/rCzrFjG1xd8tV3/ZmWzbFl/CH9DPFzmwUAv/6urmrdCEMD842rcvOluohULdsYdjQUlNVfIlkLIyoEuX5q0vzbByJbBihf5xOy3+hYXAW29Ffi0n+P134Mknnb+PWVdau3HS1b8lsXSptb7TKqWlwBdfuHe/SKmvB556KtqpiF+cdvUPJSbNWpvj2eIfTnA/LQIt/mZc/bOzlffBqP6xh+WsPuuss/D999/jmGOOAQDcdNNNKCgowFNPPYUzzjgDZ5xxBubMmYOkpCRMnjzZtgQTYgWrwh8IbuTciOovXf0zMpzf7s6Ke5waPeEfikiEv/ROWLs2vlz9jTp72WmqB0DqtW/huPrX1MSm8FcTjgUlPV3bg6GsTNn/OZwB4+TJwAMP6B+3U/gfdljsWjEWLACuvtr5+8SCxZ/C3zqvvQb8Zd9xhV9+ATScR2OW8nIlUCuxhqxbduxZHxjV32psJy1aisVfi8D2z4yrf06OYoAw0/9xjb+7WBb+J554IrZv344vv/wSAFBcXIzPPvsMo0ePRnZ2NjIzMzFs2DAsXboUgwYNsi3BhFghkrXygcFO3AzuJ93+nUR2DFZxU/jLjqGhQYnqv2qV8l7DsfhGG73OXr53LZES7jrIffuU5S1uUVraHGzRLKEsKOp8atVKO9/KypSlOOGIur17jQMfFhTYU56kJauwMPJrOcGqVcARRzg/2HJTNK9Z4x//wQ3h/9tv7lrE3cbs4N0uqqriZyIXiNxKHa/IMmFXVH87RHCgxT/SJT5qohXcL1LkmCKcvAh8F1Zc/Vu1Mj+2o8XfXSx3xx6PB+3atfP7rE+fPnj33XcjThQhdhOJxT8w2InTwf3Ua/zjRfhbXePfsaP5zkhOwMhOp18/ZdCdnd0cDC/WMRokyYj9Wp2qHNCEY/EvKoosreEwfTowf76yvaJZwrGgzJql/XllJdC6dXh1ZO9eZVASiKzXdi2viVY0e7Ps3Qv07KnkodYyCrtwMx8OPFDZ4aNTJ/eC+/XoATzxROJafaur3RU88Sb8nV6KF6tY2Z1FCzsnBgOFf6T1Xk28uvrLdjCSvAhsw824+r/4opJnF10U+vpc4+8unGMhYbN1K6CxgYNreL3hdzZWhb/HE+wu5nRwv3iz+AuhL/yNGvKaGsUdLJx13rLjqq9XhO3evco14imAWiiLv/wtSUlRym5aWuyu8deKBByKUAMpddnp1k37nH37FNFqh8VfDhoD898q0VrbHg7Fxc635W5Z/GV5kZOATgf3U5fPjAzr1451qqtp8TdCCn87RWE8EWnZsHNi0EmLf7y6+sv8jcTrKdAir+XqL8+RhqBWrcxvKUyLv7tYrm6NjY148sknIYRAeno6rrjiCr/j9957L/bff3+cfvrpESeSxBaXX64I6ddei879raxJz8oCdu+2dj+zrv7qbcYiQb3G3y4RYoRdrv5a68ACg8KoqalRIrWbFYyyE8/MVH6npSl5FKkbr5sYDZLkew98nowMJdhfuBZ/tau/Xpm1CytrKaV1QAuzg8maGqBt2/DuK4T29WtrlTyzq85Jy4ec4Ii1SQAhlK0QrbaLZnFL+MuAmFI0uuXqX1gI7Nhh/dqxDi3+xshddyoqYndZTyxjZ/tQW0uLfyCNjUq/FskkiJbwD7yW7M+lq3+41+caf/ewPMcyf/58XHfddfjHP/6BZ555Juj46tWrceaZZ2LcuHHwxuPCmBZGY6N/pQv8X40Q9jWmVhrSwAAuZrDiviufPxxXfzsarnh09dda4x+qo4nU4p+W1izW4gk9Aa7l6i8DPJaXhyf81RZ/j8f5DtWKxd/IgmI0YaQm3FgGdXXKZFNdXXC5q61V8tdu4a/lFhkruOEt45bwl8/htvAvLnY3+J3b7NvnrvCPp2CtQPO4InA9c0vxALDD1d+uSdGaGv8gsHYaBeLV4i/zN5JJkEDhr9VHqoV/uO+TFn93sZzVCxYsQPv27fHFF1/g66+/Djr+2muv4b333sOiRYvw7LPPRpRI4jz33QesXt38/8iRyrpFLeya+bQ6ILRi8bfi6i8jowda/AH7LP5a10lPV0RIvAv/UB2NVYs/0Dyoz85u3t89HjAS4BdcoNRD2anK96IW/rJshMJtV3+zFn91eTdqR8yWyXB3L9i4UVkHXlenpFldX50S/nZEq3YKt4S/G94OVVVAhw7uCX9Zltu1A3butH7tWCcarv6xWl+0qKkJnpBdsQK49dbopSmesNPVX74LCYP7Nbdd4UzOB9b3cCz+0nofDvL6tPi7g2Xh//XXX+P+++/HkUceqXvO6NGjcd9992GWXmQmEjNUVTW7SgLAn38qQZK0sGuW8pdfrH3PilDNygpf+FdVKQNjrTX+WthlWc3MVDqweBL+Wmv8tSZM1IQr/NWdjXT1Ly52NjCZE+jVn0MPBc44o/k5ZflLS1OsYOnp5q0Oald/Nyz+od61FkbPYnZyL9wJjpISoGvX5kG6dNMFnBH+ka6tdJpoWvztLpNVVUpQPz3h71Rwv3iLMRIu0XD1z8lx736Rsm+fEmBULfxXrlR+SGjUdSvSsWWgNyZd/Zv7oUjy1mlXfxkniriDZeG/detWHHXUUSHPGz58OH4NJ9QziQp1df6D4IwM///V2CUk1q2z9j23XP3lAMSsq7+VfNE6PyurOe/dEP5mLXIDBgA//ghcd53/5265+qvFpdyiJt6Ev5nyIS3EWsLf7DXcFv5G6/X1iMTiL58nMJaBEeecAxx3nCL8N21SPlMLNruFv6xXsejqL9MWLeHvhPXMSPg7FdzPza0K3eTll4HBg5W/3bb4V1f7u2vHOvv2KWv71cJ/7drQyxVWrADat9c/PmCAcp1Ex06PoMBxGYP7WcvfwHQFCn+tfLXD1Z8Wf3ewLPzT09PRYKJGNTY2oqmlLHaKY+rq/IVxZqbz+9NaHVy75eqvtvg7Jfy1yMpq3jvZDeEvCZX2778HPvgA+O47/8/1LP6hZtsbGxWhZXZGXp2/clBfXBxfrv5A6M5eCkU94W9msKAOcuTG4AIIv+wbDaTMTu5Ji3+oezc1NU+m7bdfc0A7J4V/LLv6V1crZcsN4a/lymtloigUoSz+Tqzxr6tLzIj+f/zRPDHv9hp/s/E9YoWaGiWCuXq8tGePEjjTiF9+MY4N8f33zROUiYydrv6B/QAt/vZMTgYKf48neFwRqas/g/u5h2Xh369fPzz33HMhz3vuuefQr18/q7chLlFb62/hl+7mWthVOa02olYs/na7+jsp/DMzoyP8zfDZZ8HpEcKaxR8IT5QGCv+0NKB3b6BLF/s7Zacwa/GXwj87u1n4h1PmAyfHnO5Q5fsIh0gs/rLcmHX1/+03Zb/1ESMU4b93r/J5oPC3czs/tfCPNYu/bNuiZfF3wnrmpPBvaNAePMvJokSjrEzZiqupqXmHGbeINy8KLYt/4FpzLUpKQk8OyK0p7WLXLuCAA2JLYDn5vhncz56JFa3ge0IAo0c3j6sjjeofaXA/IYDhwyO7RkvBclZfeOGFmD59OiZOnKjpyr9+/XpMmDAB06dPx/jx4yNKJHEeLYu/kWu8HQ2WVaHmtsXfSVd/retIV3+3hX+od5qcDCxdGjyDbjW4n8RsnqnTJ139jzsOOPNMa0s5ooWZfG5sbLYmWnH1V8+6u+HqbyZORGAaQq3xNxvcLzMzdJ7u3ausw12yRImlUFamDNbVolfe0y4LfSxH9Y+28Hdios5p4a9lhU5k4V9Y2Cw8o2HxjyVxakRdHZCf7y/8zWyfWlKieKzpkZyseA7YyddfAz//bK83Z6TbGDvt6h+rFn+3MJO/oeqanjBftKg5Nlgkrv5CRO7q39AALF9u/fstCcvC//LLL8fQoUMxc+ZM9O3bFwUFBejVqxd69eqFgoIC7L///njiiScwbNgwXH755XammTiAWVd/vQGQFdy0+Ftx+dJz9QcSy+IvnyVU2rt0USZPAgcrald/9QDfbKcbzmxvoKu/JF4CbJkpH/J91NU1W6DVwj/crfNiRfgHvjO7ovpnZoZ+PnXAsJQUZbDStq1/mZHps2utoRS8sejqH23h75TFv23b5n7MzuB+Wh4tHo//8pDA7dzimb17gV69gN9/V/53W/hnZsbeZFkgy5YBW7dqC38zlJQoO0Lo0aULYMKp1hSVlcB77yk7N/XubW+dj7RuqS3Skba7Wq7+sWrxjyVX/0CxHpg2LSu+HKfIPIn2dn6J1P46jeWsTklJwfvvv48rr7wSKSkpqKiowMaNG7Fx40ZUVFQgJSUFV155Jd577z0kM1xjzGM2uF9lpRJMzY7Zz0gs/pFEoTeL0Rp/LewK7ic7K7ct/qHW3R5wgDKoDuxEpMU/cGbZbGAdM9YRQNvVXxIvwh8w7y2jJ/zz8/134LDrfpFgxgsnUPjbEdVfWgpCERgpvLYWKCrSFv52QVd/BS2LkxPWs8D19nYG95MeRnr3LChQttxMFKqrge7dle0vAfdd/TMzY2+yLJC5cxUPIqvCP9RWpAccoMQOsKOe/PEHMHOmslPTgQfaW+cjtao76eof69v5uRXcL1T+Bo6ntIL7Bbbhsk0IFP5WRLwda/yl8I8XT6FoElF1y8jIwBNPPIEpU6Zg2bJl+P2v6eEuXbpg+PDhaNu2rS2JJM5j1uJfUaEI/5qaYNfucLEyMwhYc/W3grQg7dnj7hp/9bWcFv7q9EqXZKN3ohVB3Q5XfzMdhTp/Awfi0RL+//sfMGqU+fPDKR9S+CclKc8my3xBgWKRa9XKmftaQU8YqXHC4i+fK9QASmuLMD2Lv13Eg6u/ldgn4aLVXjoR3C+wzNjl6r9ihXbZ8HiUPlMK/7IypUwlCu3bK8Lf7f3LvV6lrYu1OhPIL78oy4eEUCYR5XjJbFsrRHMfqSfMOncGSkuNlwSYoaoKWLVKqe/du9sv/CMNnBm4LM2KIPZ6g7/H4H7mxtmh+lsjMS/zJFYs/uGOjVoitsyztW3bFuecc44dlyJRwmxwv4oKJYr63r1KYxHJ+karwt+Kqz8QfkMbraj+8h5uCH+11UG6JIf7Tq1u56f+frgW/8CyEy3hf+KJijU+nH2nzTyrEM3C3+Pxt/jn5YUO+qQuh7Hq6m9HVH+JGVf/Dh38P3NL+Meyq78bWyhplXcnXP1lGZT3s0P419QA118PnHFGcHlMSlImTTIylOeRASMTAY9HEZsffaTET3HTiubxxKaXTCAFBYolvW1bf4u/NEyYqfMZGcr39PqP4uLQsQDMUFUF7NihWPwPOyzyvlJdHiIV1+qJDznJZGVcuGmTslWrmlh29Qdix+IfifCX7z7aa/yl8F+3DjCx03yLJsI5FpIoaFn8jVz97Yh8HQ8Wf6eFv1HD74bwV1tCrVomZUddX++exT+wI4qG8Jf1w2hLpkCsWPwDXf1zc8N39XdD+BvVyfp6xXpot8Xf7MBJy+Lvhqu/XONvt4jZssX6d/fuVQbJ4UxW2Y0Trv7qMiOEPcK/pET50fJoSU5uFv7S4p8oCKGIzd9+U8qJmxZ/wL6dNZyiuloJflhfH+zqb2ankY0blbZLCn89iouBt95qjrVglaoqoH9/4Ntv7ekr1f1vpBZ/9Rr/wB2UwmHVKuCQQ/w/Y3A/68JfPWYwEv7y3Ufq6m/0nQ0bQl+jrk5ZHvP99+HduyVC4U8AKJVW3QGlp2sHy5Cu/tEU/lYt/uGijurvtqu/vI/TA6BA4W90L71nE6I54FygxV+v0zXbqahR53ngZEE0hP/WrcrvcIQ/YN67wUj4h7PNk1tr/I3q5M8/A4884j8AsSOqv/paRoMyLeFfUOCs8Jf1wQlX//32A3bvtvbdm24Cbr01usLfSVd/9TI1WfatWiWl8NcqG8nJSvnJzEw84Q8oonPjRqW9cXvdbKxb/HfsaLbC19f7C//qasVLwoinnvLg0kv1l1QCSp6fdZYywTB1amTpraoCrrhCCUhol/CXfb2dFv9wA9eq+eOP+LL4u+nqH67wD5yAcdriH2qN/+WXh86vujolfoWMS0L0ofAnAIIbSL2Z11gQ/laD+0lhbrbTc8PiHypQYKTrnkKhFkRGLslG78qKq78UtfL7ZsVpLFn8KyuVNZjhCn8zqF39pfCXZT5c4S+v5ySh1vjX1ChpdmqNfyhxrSX8hfDPx3hz9V+1ytr3ZL2JtvB3ytVfS4RbtUqWlChtf2lpcHlMTlbKT3Z24gl/6eofLYt/LC6PUaN2vw+0+JsR/qWlwJAh+hZ/2XYUFQFXXw3s3BlZequqlF0ChgxxxuIfqfCX44ZIriW9UdXYbfGPV1f/cNf4B9Y/MxZ/qRmcWOO/e3fo9qCuTinjW7bY984TFQp/AiBY+OvNvG7bpmxBY6fwD1eUROLq/+GHxlvoqNm3T5mRN7udn93rZeUEg5Oizayrf6C7WKDFPiVFeS9mt/OT27DJa0Xq6u9GkLJAKiuVrZGcEP6AvsXfzBp/NW65+ocS/lVV9kf1l4QSClVV/oPx+fOB44/Xt/jbkV9OR/U34/6ohYzhIdtBp8uG1vWddPXXEuFW38GmTUC/fsD27doW/4oKpe2Jp11FzCL7hXbtaPEPZNMmRWTk5ysiXgY8BpRxQyjhv3evUk71hH9jo31bUQL+/bwdfaV6ezc7Xf0j8QSS8afU2FmO4jW4nxVX/8B8c9rVP9Qa/7Iy/6XIWtTVAW3aAK+/DtxzT3j3b2lQ+BMAwaJPz6q9ahVw8MH27Fvc1KR0fOF2alZd/T0e5V6hGhD1fdLTgydBjKz0seYKJoME6mHW1d9oT2yvt7mjUM/0GnXiclJFpjHc4H6BXgLRiJxeWansde2E8Pd4lIFkWpo1V3913rgh/EMFZKqtDc/iH24dD/X+A61wY8cCPXr4izUzOxOEg5NR/fPzw/f6kMhn7NKl+TMny4dbwf1kmbFT+K9apQSKKi8PLhtJSYrYyM52ZulCrHDoodFZ4x/Lwl+uJy8uViaF1C771dWh1/gDxmv8Gxrs3eJOHYDWDjHslKt/pBb/cIV/ON6GiRzcL7C/tWLxl/15oMXfzDOGmiwoK9OOOaZG7UVaWBj6ni0ZCn8CwLxr3Z49ivuZXRb/jIzwOyGrFv+0tPBckKQQUC97uOoq4O673Vvj7/FE1jmceipw2236x826+qstEIGTPkau/nqD4draZuEfzhp/mb+BXgJOuobecINHU9xXVTkn/Nu0UQaU0uKv7tRicY1/qMmbmhpFJAVa/CN19ZeEao+03G8zM/0nAZ1Y4y+D+9ldNsMN8KimslKJUi/fl9NxRNy2+Ofl2Sf89+5V4imUlxu7+kcSlCyWueYaJWo9Xf39+fVXxdtLRt1XC3gzrv6yTqSnh7b424E64KAdkyp2BvdTu6JHMoGmJfxDTSSYWf8uidfgfla28wssI+FY/APvZ2ZMbLTGv6lJ6etCGeykLujUKbrL2OIBCn8CIFi0Gq1jB+wZLDY2Wtuv16rFX6+T1UM2RurO45NPgF27jPMmHEJF9Y9UtAkBrFmjf9ysq7/aAhH47qXFPzCqv1GgHrWQtWrxV3dEToqXLVuUdx5IZSXQrZv2sUgpLlYiOUvhD5gX/lpWDDfcCo0GbVpr/O0I7qcO3mb0/rXajEDXQrXwt2OyxElX/0iEf1kZ8MILzf9nZkbuvRUuTgb3y85WBonqdxuJMM/M1Lb4q139IwlKFsvMnOnOlo+BxLqrvxSMxcVKGVALfzOu/rJ90ROmgRb/SI0KgUsH7DDa2LXGXy0UI7mW1oRLqHJkxhouidfgfupn1OvXou3qb/Qd2c+ZcfVPTwfmzAlvnN8ScVz4V1dX4zYjkyOJOloNUCgxZqfFP9yG3qrFPz3dmnusujPatQto3To2rKhmCNVZmXX1D7T4Bwp/ucbfrKt/YHC/cKP6awl/ow7+11+BJ58MfQ8tysu1A3dVViou105Yww47DPjgAyWPZD6ZFf7qvAXccfUHjAdZ4br62x3cz4znjFPB/ZxwWw43zoOa2trmdf5A6C3FIsUtV38plrKzg9cwRyLMs7L0Lf6J6Oof2FY4EdQsFLHu6i/p0EH5HWjxl9Z1rXZXXf/03OQDLf52utPHmqs/4D8RYrUeacUKCjWRYCbwncQJi380XP21ymSo4H7qiR6JzDeZv3rB/cyMP4zW+MuxlxlX/7Q05/uzRMBx4V9VVYVp06Y5fRsSAVqznm4JfysWf6tR/dPSwt//HPAf1JWW2iv8jeIFNDXZcx+ja5h19Tey+AsRufCPNKp/KCvG558D77xj7h6BlJUpLr+BSNdCJzrv009XfqenK5ML8m8gtLU30LrtlvA3cvmsqVE6Y7st/hKrW1Gqiaeo/vn51i3+geXV6YGSW67+gPJsWsLfiqCQ6ZbCX8viL139E0n4B7o/u9V+qIl1V3/JgQcqv9XehNLyrJdvFRVJKChQ/tZrMwMt/pHWUfUYL9Zc/dV5FMkEnVY/bMbib7bNd2Ky0g3MeFQEGtO0XP0DJ0hkvoVy9TczcWhk/CkrU8aoZi3+FP6hMeXkcskll1i+QU2oaRoSdWSFMbNlnSTaFn8rA/T0dGuDZXVjKUWu0zO1suG1U4hoEY6rv56rYKQWf6tR/QOD+xmVx9WrlX1+zTJrlrKGs29fpePRs/jn5Dg3KM7LU9yMZZ5KIawlbNRoWfzdwGiQJbuBcCz+dkb110MG5ExKUtJuZUJRDymgnHBbTk+3zz0/GgOlSIRyeTnw7rvABRdoH9cT/qH6mQ0bgOuvBx58UKn31dVK/c7M1O5zkpKUNkC6+ieK8A+cdIuGxT/WXf0lbdsqv9XWSunqr2fBLC/3+Al/PVd/dXmTdTRwDbtZ1JZtu1397XxXkbj6a+V1KG+EcIIoOhHV322Lv3xXgW2ZFVf/QOEv8ydwkkC+U/nZ5ZcDTz3lfz2jNf5lZYpnjdmo/hT+oTFV5J977jndYx6PB0Jn5CuPedwaeRJLSKEQzhYv0QzuZ2WfUMAe4Q8ofztdpFNTrccyUCMnKvTWsoXj6q/uPPSi+gdu56fXAKvFqdmJFKPgfqGsGH/+CbRvH/oekocfBkaP9hgK/6oq6wMxM5SXK7/loFvmV6g1t4HCH3DP1d9o+0Z5jsTIgmJ3VH+98tWmjRKwtE0bZ4L7OeXqD9j3TqPh6h+JFXnLFmDJEn3hn5UVPEg0Iyh+/VV5X//7X/OEX0FBs9u23hr/RAvuFzjJEQ2LfzQmG8wSmD+BeSMt/vIZAscqisVfAPCYdvW30+Jvt6t/pOVD3T7YPYEWyhshnDX+8VrH1aLbyOIfblR/eb5a+AsRvCwg8J3Ong089JD/2CmUxb9Dh9Cu/nKLaAr/0JjeMOQ///kP8qXP6V8sW7YMr732Gs4880zsv//+KC4uBgCUlJRg7dq1eOONN3DkkUdi/Pjx9qaa2Epdnf+aT0C7IQ+cNbZrOz8rnZAV4Z2eDuzerfwdzmxrcjLw0UfA6NH2N/56aZANbyQTDLIBlhawgOoLIDxXfzkQCXTHM7L4GwX3kx1HSoo1i384wf3UuwiYQXYeQijPoWfxd8rVX418TrMBc2J1jb88R2LHGv9Ig422a6dE5XZC+Dvp6m8n0XD1j6TOlJX5b8MYiGzvAgVFKOFfUQEce6yyVZu8T35+s/APFHDJyc1bbiZScL9Azxe3Rbjsm92ebDBLebl2XyqRa/z1nqG83OP7vllX/3ADEweiXr5ht6u/ne8q0kCBgdjt6m9n2twq32ojiV5+1Nf7b0FpJqp/oMVfEmiYUwt/2W4HGk1CrfFv3z60xV/uXJGREXqSoKVjWvife+65aCv9mgCsWLECM2fOxKZNm9CuXTvN7zzwwAMYPXp00IQBiS1qa7UthIEVvaamuXGwQwBbdfW32mDK4H45OeG59aamAkuXAjNmNHfUdog9o+eQQiaS+0ixK6NchxL+RgMCdQcZ+O6NovqbceVOTo48uJ8ZcRVOucnMVMq7EEpMBz2Lv5Ou/kYYlYtYFP7hWvzNCH8hmp/LqrhWr5V3Uvg7YfG3a8IpWhYSq2XSrPBXY6a/qqwEevZUvAmAZpdtvQlDdfuWyK7+0RDhsSz86+uDDSVq1K7+Wu1bba3Hz4skGhb/SCciA4W/XVitR1rB54DQEwnhuPo7YfF32xlar7zV18O3/ESeF8riryf89Vz9AWDHDuV3YPsdyuLftm3oPlTqE1r8Q2PKhvTBBx+gVatWfp/ddddduP/++3VFPwAUFxfjwQcfxMMPPxxZKomj6LkGBzZK+/Y1D4LsGOiYDe63erX/vayujZLCPy8vvIZBNnByIG+Xq7/Rc9hh8ZfvNStLfxmHOgKxkdVU3UEGdqbS4g9YW+MfTswEozX+RuUoXCuSnDX2ehXhv3Zt8LZ9soOT68RjhcD18W4NLgKtV3/80exhY2WNfyjhr7YsGL1/o+CRWVnNaQvczi/Sd+pkVH87cXKgZBS81G7hL68nJzrVmLEkSg8e2Q5KTzi1JUxNIgv/wHoaqi7s3Qu8/bY995c7cMSq8NcTKTK9oYL7NTR4/Lzd3A7uZ8dEpJW92s1g1eKvNmCosdPib7c3glsEbmuqZ/EP3EUilMVfluHAPDFy9ZcGFNl+b9igLLULtca/devQeS/1CYV/aEwJ/1GjRiElYFrs66+/Rp8+fUJ+t0+fPvjhhx+spY64gtk1wWqLv13C34zFf/r05plCmTarwr+iQrHyhdMwyAZONk5uWPzVwt9qpyrfq1EwuEA3MDPb+em5+stjEqMZcnWZC8fib7TGP1TawxnwZGcrQsDrVWbCP/gAuOwy7XPd6Gh++838udFc46/O34ULgRUrlL9rapTlMqNGNR+P1OKvFupG71+6AGqRmdksEtXXs8O6IwfbTrr62/FenSy/evFYnBD+Eq2JTjNuulL4Sw8f6QnXty/w8cfB56vLb7yu/9Ui0BvOzCTYV18Bp51mXxriUfjLMUHgGv9A1G1buMH9rBIY1d9ui7+dwt9KPZIGnUDy85tj5WgRzhp/J1z93ZiUV99DbwwUWOedcvUvKwM6dmxuv084QRnfG1n85TJVM8KfFn9zWN7Or66uDuvXrw953rp169AYj9NkLQi9Nf6xYvGvrg6uyG4Kf7XFX3bUdjXYetexy9U/IyN0FHj1PY2i+qst/oEeGHoWf6M1/pEE9wvH1V96NYQj/D0e5fqNjR5f3Sgp8T9HpiUz0/mOpls3//+NrOXR2s4vMH/r6pr/r60Fjj4aKCxsPh7qGUJF9TfaaUKNdL3VQh0IziiOhRWcdvXPylIC3UWKkwMlvSVVTq7xl8t01Jh19c/Nbe7bZL+YlgYMGRJ8vrr8JtIaf62o/qHaD62lUJEQj8JfIoOMmbH4u+nqr47PFKtr/K3WI1l3AykqAnbu1P9etF393UaOX3fv9u8vAydAnHL1LysDOnVqbr/lJK3RGv+GBqU+hSoX0jBpx8RWomNZ+Pfv3x833HADdhrUqh07duDGG29E//79rd6GuIDeIDtwcKZ2p3LT4r9vn3+nZ7WTycpS3IqsCn8pDNx29bd6L7XFXy8wijovzQb303L1VwsmSTiu/pEG9zOyHkvhF26HUFwMlJYmhVzLqCU0nCYnR1/8RHONv7pc1NU157dWGxOpxV89ODaatFIvZwlE7eqvdne0q31z0tX/99+Bc86J/DpOC38tV9pIyqT0xNG6pt61zbirS6uhfPdasW/UqOtgIrv6m7H4l5VZ22lHj3gW/lLE6JU59WSYW67+6rGGHe2R2qobC8H99IR/qO38ounqH43yLSd9DjwQmDu3+fNA4R9Y3sxE9ZeEcvVXC//sbOVvozolAw+adfWP5bYjVjAd3C+Qm266CWeeeSZ69uyJMWPGYODAgSgqKoIQAqWlpfj222+xcOFCVFdX44033rAzzcRm9IL7BQqdsrJmi53ZgY7sINT7HauPWbH4W3WRKihQlgwcdpg1V3+5r7Ndjb/Rc6SlBUemDhcza/zVGM1oBwb3CxT+ahEvMSv85Tr5UBgJfyOk62VTU3gDntxcoLLS47tP69bB6QGiE0U2N7fZeyUQLeHvBoGD2Pr65v+1ynpSkv770No3PRD14DgtTb9Oy/evRWYmsH17cxrlu7YreGmoqP7SEhfOO5Lp+u03Y2uWWTIylAlRJzB6j5EuYQq8lvp6DQ3671wPLYu/kfAvLm52I0404W/F4q8ODqZHqK145X1iefCuF0guEL1nqK/3hHT1t9virybUFndmcNLib6UeVVRY21o3HIu/kYeaVaIV3K+kxL8MBwr/nBygtLT5fyOLf2Ce6Ln6V1cr2yoHCv/qauUcvTX+Zi3+0sMVcD9f4w3LFv/TTz8dU6dORU1NDV588UXccMMNuPDCC3HRRRfhxhtvxIsvvoh9+/Zh6tSpGDt2rJ1pJjZjNrifunM320CnpCgD67w8oF8//xlws9v52Sn8q6sVAReqEw20hMt0yB0B4im4n1lXf6MZbXUHqbXG3y2Lv/qeZvNGCr9wLR05Oc3C/447/NOoLh/RsPgrkxLax6K1xj/Qo0Lt6q+FkcUfCP1+zUaqNhL+Wnu+y7TZ4eov1/jr5cPhhwMvv2z+muplNY8+ChxxRORu1unpkW/NqocTFv/ApSzyPurPrOzQUFWllJNAV389ioqa/04k4W9lOz+1UUCPxkbg1FONz5FuwmYmG6KFGYs/YGzxVy9RMmPxT0uLrI6q21I7xi6xtp2fnsUfUMqTmdhFoUgEMame9FG3bVrCX+1RqDXZJduIwHZPz9X/vPMU4T9oUHOfJccMsjzpCX8zFn8gMd6RG1gW/gBwyy23YOXKlbj44ovRvXt3pKWlIS0tDd27d8cll1yCb775BjfffLNdaSUOobfGX/0bsCb8AWDrVuX3+vXAxo3Nn0fi6m9V+ANA586hhb+6Q5C/5d6jDQ3mrc1GmA3uF+pcPdRr/PVc/dX5aNTphtrOL9LgfuFG9dfablIPGfQl3CBrOTkCVVVJSE4G7rxT+5qAO2v8A8nLMy/83bKeBQpItau/FpFaUAIDVumJa6PgfmpXfzV2CDlpzTdK29atwObN5q8pB2MNDcC55wJjxgCRxs4N5Q4bCUZr/K2Wyfp6pc6p34868CwQ3oBeonbRNuPqr/a2SYT1vxItV38zFv/CQuMJgnXrgJ9+Mr6OrNOxtlOKmkBho0Y9NrHT4h9rEyFOufpbbXeNhH+/fsDPP2sfCye4n924FdxPjXoyKhzhr1Xm5ffDieo/ezZwyCHNwbpluTYaz8n2PlQfFUv1I9aJWL4ccsgheOaZZ/Drr7+ipqYGNTU1+PXXXzFnzhwccsghNiSROI0UCuqBuBBKx6NuhMMV/lJsbtsGDBgAHHecsi2axO3gfjLtubmhhZp68BPo6m+X8AeMLf5SRFmdBQ/X1d/IyhlqOz89i7/e9QIjG0e6xt8IafENN6hRTg5QUdHs6q/uWNQDjVi3+Lsl/I0s/lrlPJTFPxTqwadVi786qr8at1z98/MVN1WzyACTcrLggAP829RQaA027XD91UPP1T9STybZDksKCvzz2IrFX2LW4t+zJ3DBBc3fSeTgfqHqaXm54gFhNNG3apXiPmzUFqmFv11t1p13AtOm2XMtQL/vCWwz9C3+oYP7BZbfWJsIiSeLf79++m1kOK7+djB6NPDll+7dLxB1n6vOZzPCP7DMGwl/I8/P4uLmfkzWmVAWfzPCn5jHJvlC4hlp2Qi0XAYKpXCFf0mJsp5n2zage3fg8sv9B7lmLf5arv5WkGk3s14uUFTIdOTkKIMbuyz+egNgmb8ej3WLXChXf3WkX8BY7BhFPNez+BuVkcDrubHG36yrv0ybEnjGo3kf6f0BRG+NfzjC3w20LP5G+R2pxV9thTAaMIZy9dez+NsV1d9IWOflGW83Fcj27Uqa5bvPzTWOcB+I1kDXyf2pjQR4JK7+0vNKjTpOgZkYEXqYDe5XVAS88IL/dxIBre38Qr2r6mqlfzVyR1+1CjjoION4Ek4I/+XLI/eKUaPX9wROfOpb/MMP7hdrMQ8Chb9dRGLx19rOD1DGbHoej1Y8gyJh0aLmtjsa71Pd56rHwJEIfzOu/upzCgub2wBZro28aMwKf7r5mydi+VJbW4t58+bhyiuvxKmnnoqSv6ZyXnvtNezevTviBBLn+Owz4P/+r1koqK1f0uKv7pTKy5vdG8000Nu3Awcf3BxIRGvdkBmLv12u/tnZSvrDFf7yXnJXg8ZGd4S/jCVg1SIXKqp/oEUrlKu/le38zAh/qxZ/s2VARvU36+ovl0goa/ybo/qrB3bxZPEHouvq/+yzwNtvB58fqVhSuxQaTVqptyENRM/ib2dUf6NyavQetZg+XVnXr94OSW9Qq4WW672Trv56uzNE6uqfnR3cJqrzMRIXXrMWf63vJAKBkyZmLP5CKHllJPzXr1csnv/5j/45Tgj/mhrz79EMZoW/GYu/WVf/SPMj8LuR5m28RPUHjMd7blv8geDJITeR7VRysn9dtSL8ZZ9qxtVffY76mQMNOVrlSAilbtHibx8RyZfly5eje/fuuPjiizFr1iy8//772PfXKGTq1KnYb7/9MH/+fFsS6iTfffcdUlJS4PF4sHz58mgnxzV+/hl4553mAY56EKnl6q+OmmnW4t+1q9Lxagl/WaGNRK2MxG6H8Pd4FK8FM2uytdyV3AzuJztAKfydsPgHWrRCBfcziuofqfAP1+Ifzhp/uZ2bWVd/uQ+zOrgf4F9+Kyubt7aMhvA3Csgm0y+J5hr/hgbgf//TPt9OV/9Qy0r0LLd6+WjXGn9ZL4wm+MzmgRBKms4+u1nk6nks6KFlgXfS1V+9BayaSMqkXr+hFv6RLNUwG9VfjRMRv6NF4GSNGTdzjyd0kEghgIkTlQBfejgh/NXjFjuI1OKvnnwzcvV30uIf6fglMA/iVfi7afGX7UM4Hlp2IyejAvPETou/1thZ7uqlhSzbRuM5JyenWyKWhf/69etxyimnYMeOHTjyyCNxwQUXIFVVgxYsWIDzzjsP55xzDr7//vuIE7po0SIcf/zxaNWqFbKzszFgwADMnDkT3ggXPjU2NuKSSy5BU6L02mEgXffVa8HlIFIKf3VlUw+gzQr/zp2V62sJfyB0hZYuhHas8ZeEa/EHFPFcX690Lna6+ushhUwkrv5ywKO3xj9wYBtOcD+9Nf7qzsPsRIKM4hyKwKj+Vlz9w7H4B7r6Bwp/tcXf7eB+gYPslSsBuWtqYKCzaAv/zp21z49ULKnrqNllKqHSLLHD/T3U1mVAeNG6t20DOnZUyqHs9kJZ/ANj62q5wNvt6q++p96APNIyqTWJ16FD899G2ztqoW5PzLr6q0kkN1OtqP5m3pWZ3SG0xgBqnBD+dsdfiNTiHxjcT2vSzY7gfi+9FN754RBr2/mVl+u7+ocS/uFY/COp57t2KcuDZPmPRnA/mb+BdTUwH9LTgQ0bgBkzlP/DWeOv5eq/c2fwrh/qMmNk8ZfXoPC3D8vyZerUqcjPz8f333+Pzz//HPPmzfMT/l27dsWcOXMwbtw4TIswssq0adMwevRoZGRkYPHixfj+++9x/PHHY8KECRgzZgwaIygR06ZNw6ZNm1BgZhPaBCNQ+Ae6+gcOptXbKFkR/lrrUUNZm/btC95+L9JOxorwT0trdv92I7ifWvjHgqt/qO383HD1B9wJ7ict5ko5CS38o7HGP7Dj/u9/gbvuUv42imLvFFoWP+nqX1+vDCICcdPir+VuDjhr8Tcj/MMJOLlrF9Cunb8F3cjbRAjgwQf9P9Nz9bfT4q++p97+2pEOeAPTfNppwPvvN//ftSvw22/mr6f2TLDi6g8kjvi3YvEHzAn/UBNdTgj/wsLIt7xUY6fFX6/PjTS4nxDAtdf6r6W2k1hz9d+1S387STtd/SN5zu3blYCgblv81WlWW/yNhD8ArF6teOgA4Qf3C3T1/+knoE8f//PUnomhLP4U/vZiWb4sXboUjzzyCPr372943lVXXYWVK1davQ0+/fRTTJo0Cf369cP8+fMxcOBA9O7dG9OmTcPf//53vPPOO5YnFtatW4e7774b06ZNQ756b54WQlmZIqqrq5st/oGu/oEW/0iEv5arvxmLv5bwd9vin56uxAewU/iHWuMfqcXfTld/K9v5GZURdUfjdHA/ucbfbHA/afFPTdUX/urgfrHg6l9b29yJBq5pd8PiL4S+xb+sDGjVKvg7sWDx15t8cEv4h4MUp+oBrpHFXyv9eq7+Tg2qjIJuhVMmFyzw/1+rLqsHrgMHKmLALOqJPCsW/0RCa41/pBZ/+f1Q7bwMOGtnm6UXx8MK77wD/PKLvvBXP78Zi7/epFugEAs3P7ZsUfr8VavMfyccYsniL4WmXtmKFVf/khKgRw9/i7/bqC3+Rq7+gDLelfZQrfGWbBubmvzHslqu/k8+qWzjJ0lKCvbS0CtH0ghJ4W8fluVLSUkJBg4cGPK84uJibNu2zeptMGXKFADAhAkT/DwKAODGG28EADzwwAOoCXPkLYTAZZddhkGDBuGKK66wnL54pqxMsYzs3NnsEq7ORq0gboHukEaUlgLt2+sLfylqjcRYdbUiGtQdajSEf1aWMjB0a41/oMU/EuGvJ24CLVpWt/NravKfEFJfz83gfnodqXqNvxlXfzkTrQzkzLn6x4Lwlx1xrLj6S2t/RYX/nueSSCz+Ho//rhShyq6exV8Pu7bzszNwlBT+Q4YobTYQvvB3w9VfjV2u/qef7h/fI7AuB7al118PfPWV+eurPROsWvwTBS1Xf7MWf6MtNbViPQTihMXfTmv3//0f8NFH+sK/uro57/Qt/qGD+2lZ/MPJj+3bgaOOin3hH/g9K21RebliHNLDTot/JGWpulrZyi5wDOwkge2irMuhXP0BZVlZUZHyt5bwl+WzsdH/Plqu/qWlwNChzZ9lZysTIXpxGQKh8LcXy8I/Pz8fv//+e8jz1qxZY9mNvrS01Bds77jjjgs63qdPH3Tq1AkVFRX44IMPwrr2448/jm+++QZz5syBJ1F89MKkqkrZbm/HDn1Xf73KZkb4S5ei+nqlUdBaa67nxi4E8McfSnoKC40HeeFidY1/dra72/lF6uofKqiRlsXfynZ+TU3+x6xcz+ngfuG4+st8k66b8bDGX/2uA1393WjetFz96+uV/NbzzojE4p+UpFzbzHZ+obZ20xq0Gk0kaC1b0CJwu0w9zL4fKfw9nuYBmVGZDszbP/5wx9VfjZ1r/I22mg1ELi0zS6DF3+sNL7ifmh07/LetjTe0XP2N3pU8ZuTGr94K2Ag5WRZr29cBSj9SWKi0r3rCv6qqOe/0o/rrx8tRnxOJxX/fPuDoowEZXsvuvLTL1V/LOhyuwDMK7AfYa/GPJB8bG5U6sGNHeN5IkaCVv2bW+AOKNjAS/rKcNzX5G2ICXf09HmWMpO7ncnKUySn1e9MrR5EYv4g2luXL4MGDMWnSJENLe0VFBW6//XYcc8wxlu7xzTffwOv1IjU1FT169NA8p2/fvgAQ1nKCP/74A7feeivuuOMO9O7d21LaEgEhFEvczp3arv6RCH8ZgTolpVk8aX1Hz419xw6gS5fmzjZwQBEN4Z+TE5+u/kbH7djOT23xN9rGRY1auIdj8ZdodUR6HYd6O79w1vinpioWf1kOYnmNvzr+hpaLshuu/oEDf7klpd697bT4W3X118OofevVy9w1zLj6C2H+3ehFyNcjMG//7/+i4+of6Rp/WWfV67TtnqzQcvUPNWGkx9ixwC232Jc2twl3Oz/ZzxgFTzUr/O22+JtdYmCG7duVur9vn3a9DhT+es+g7ruMXP0jCe5XXQ3st59iDXcCuyz+gV5RVjyt9OKISOwM7hcJTU2KFX3uXOCss9wJ7hfY3ssxWVZWaFf/f/+7eV1+oJgHgi3+8nhgv6dlgNIS/kZQ+NuL5SJ/0003YejQoejevTsuu+wyDBw4EF6vF9999x3WrFmDr7/+Gs8++yx27tyJJ5980tI9Nm7cCAAoKipCko4yaN++vd+5ZrjyyivRo0cP/POf/7SULgCoq6tDnWqUW/HXFL/X6414pwEn8Xq9EEL89duD7GyB3bs9SE0VyMhQgsF4vYDX6/nL0ix8nb4QHni9SguvDLyb/w/km2+Azp09SE4WqK31/BWcRgBo/o4QHiQlCdTXBw8stm8HgCRUVHhRUOD5K13ir2dQrmE1m9PSgJoa/bQDUtw3n5OZqbh8Z2cLNDR4AGjfX51HoVDWRmmfL/NXCIHkZA/q68N/3tpa5b16vdr3qalR8kJeV7Giaqenvl55l7LDl5ZcQElnSoqSTvV3jcqIOj2ykzCzV7ScXW5qCn4HMp8CB+tVVR5kZAh4PP7p1mPfPiVfUlK8f5VdAa9XICtLKZdeL1BR4UFWlvC5ze3bZ+69h1M+jJDxB9R1CVDqiBBKuWkejHnQ1GS9vphBCKWs1dV5UFMjkJYGpKV5fBMBes/c2Bj8PpqaAI/HOJ88Hg/q6oRPlCjvVr/spqToP798J4FlUqusKIPSJFNtfGOjLDtG790DIfTzR01lJdC2rVb51b62IiiSUFLixb7/Z++8w+Oorr//nZW2qMuStZJcsTGuFINpDsWEFiCUgCG0EFpIIAQIvYXXEHoCAQL5JSGJKYEQQktC6CZ2KKYbU9xxwdiWLNnqvey8f1xf7ezslDszd7bpfJ7Hj+3d2Zk7M7d97zn3nC7giy8UdHay9pHYbtgzGhxULVMfmqEdUxjx59PWxsYYo8fF27Id9fXsnE1NMVRXAwB7n7298d/zMcEKq7bX2soWB7X9W3I7soafv6REQX292DvNRPTthdVP83fFUnWx8cGozfT0ANu3MyODdVtgCwd5eey5i9YPK9giqIKeHu/vo6MDGDFCQXc3htq1lmCQidBgkN2foigYGEg8jrcL/rfZmKsdb4HEsU+E9nYutpL7NnY+b+MQN0qw92ldP6zg71s7rxQZo7W0tiZmOtFjNd/jRinx67l/bn19zKCQn6+grAxD/b79vMf9NXt72fW0v+/uBoqLE9vEwACbi2vLMmkSwO93cFBJqvNs3hZAf7+KwUE2t+f1VHssM6QklqG4WMHmzSqqquJzF22b1+uUQEA1Hd+NnpOseVa2Iao9XQv/Aw88EPfddx+uuOIK3HHHHUOfn3rqqUP/VhQFDz74IPbdd19X1+BiukAbqUpH4Q6f1lbBpc2//vWveP311/HBBx8g38NS35133olbbrkl6fPGxkb0pNrv1wGxWAytra1QVRV9fRVQ1V5s21aCtrYG5OcHsXZtCA0NnejqKsXgoIKGhk6MHMmW2vr6ytHQ0AIAaG4OoKOjCA0N7YbXuf76Ebjyyg60tAygo6Mcvb2DaGhoQ29v/Bx9feVob+9Aa2sEDQ2JoU5XrgwBqMCXX3YgPx9oaclHQwOrD93dZdi2rW1HZ+Oc9nYFLS0lQ+czorExHz098XKdc04ITz1ViL6+DvT2VqCrqwMNDcmba7XPyI7WVgW9vaVoaEiuux0dYfT0FKO1tR29vUE0NPSiocHZkmdLSwna2zvR0BBLeO6crVvD6O0NoKGBmau7uhR0dhqXp7W1GO3tPWhoGEB7exAtLayeAEB7ewna2rqQlzcSDXzzMYDmZvPzaZ9Td3cRVBVD5zOjs7MQzc0DaGjoQ0dHCZqautDQEDcPqGoZNm9uQ2GhfoGjHE1NLejsjKC/H2hosG6fW7dGoChAa2s3urvL0dPTi4aGTgwMhFBfn4+Ghi40Npahp6cNDQ0qOjoUNDdb1yej+/ZCe3sAra3FQ9fs6yvf8Qxbkt51T08Jtm3rQmGhfylL+/vL0d7ehpaWYtx55wCmTh2AqhahoyOGvj7F8J5bW/PR3h5Oeu89PexdGtWb+PXKsG1bN7q62PtoaTHvj1pbWf3U1hUt/J0k1slCNDb2o6Eh0RzX3q4AqEZdXYOtNb+rqxzbt7fssOqVY+vWliQLT19fOQAI1Ym6uiKMG9eXVCajtg2w9gdU45RT+vHVV/mIxQLYsKF5R38Sf+adnayd3ndfH/7yl0IsXLjdtixatGMKW6CvwdatDVAUJLQTLe3t8bZsx9q1+QBGYv36ZlRW9qO3txy9vX1obIz/XqRdWR2zeXMEkYiKhoZedHUVYvv2AfT1FTpqq/z8paVl2LgxDw0NTcK/zSSam4vR0dEzNN60tYXQ2ppvON4BwObNAQQCRejqGsD27TE0NCS655166gicdVYXAgE21vT2GrcFAGhsDKKnJ4S2tgG0tcXHJrds364gP78EfX0Bz/3u5s1BFBYWoqEhD52dPUnPo6+vEJs3qxgczEdDQzu6u1m/W1IS73disRgGBkrQ0NCEQCCAgQGgoyO5Xra2FqOtLf4OWltDaGszfwd6tm4tQElJDL29BUl9Gyurt3GoqSmMzk72fjo6IojF1KT3LkJrq4KBgfgcob09iNbWoPB9AsA334QAmD8bVTV+xgDQ0lKEjo7kPtUMs75WhJaWAsRiMfz+98DLL0fQ1RXD9u3247KXazY3KxgcjD/fzs4IOjuBYDCC1tb4uNPdXY5t2xLbpHb+1tNTjsbGxO/z8oA77yzAu++GUV/fgv7+sh0LyMC2bS1DBpht24oRDEbQ0KDd31CIdevyMXJkH/r6mDtAW1sPBgbY/EyvU9j8zfo5aOu0rHlWttHebqzH9Hhycrn00ksxa9Ys3HXXXVi4cCG6dviJFxYW4rDDDsP111+P/fff38slpNLQ0IDLL78cV1xxhVBgQiuuv/56XHHFFUP/b2trw9ixY1FVVYVSszDGGUAsFoOiKKiqqkI4nIeamhA6OwMYMyaK8nLgyScVRKNFQxbusrIwolH222BQQXTHf9g+QAXRqPGiTFGRgu98Z8QOdyIFRUVANBrZ8Rt2Dvbv0I6/E/OP9fQAU6aoaGgowV57qVi7VkE0yjqIcFhBNBo2Td9iR1ERKxM/nxF1dUBpabxcp58OvP66grFjQxgcVFBaWoxoNNnvVnt/dgSDbCU0Gk02sVVUsFXLESPKUV4OlJQUQfC0QwQCCkaPLkA0alyuSITt4YpGmb9Vby9bfTcqD39H0SgwciT7bTRaBIC9j+rqAgSDSLhGOMzrjNn52LHl5cyCwM9nRkkJsxpFo+y5VVUVJDyTkhIF5eXhJJdSfq0RI5gLZDRq3T5DIba9ZNSoYgwMqCguDiMaLcKYMSwtTTRajMFBBRMmhBEIMLc5RbGuT0b37YVQKPGaoRAbkaPRaNI1CgsVVFYWOK4/TggGFYwePRKBgILWVqCrS0VREetDQiEY3jOrR0rSe29tZe/SqN5wIhEFhYXsXUejxTtcY437o/x8BTU15vcfCikYOTK6o19hB5WVsYjD+t9wd8O8vKjt88zPV1BbG92x31xBaWkU+jVs7XuzR8HYsWrSdbXlTjh6xyStrCyEGTOA/HwVqlqOESMS21pPD2v3xcVhrFwZcFw/tWMK98yrrIzu8Bhj7US/SFJaGm/LdmzaBESjKhRlBKJRdr8VFaEdY4r1M9Bi1fYCAeaGG42ycpWUOG+r/PixYxV88QV7p+nI1e2VYFBBdXXh0LMdMQI7nrXxPpOmJmDkSAUjRjCvKP0ja21VsGJFCPvsoyIaLdnRH0UNXaxLSth4wLf38bHJLV1drGwdHaJtzJxIBBg1SsGaNUBZWX7S84hG2d7tsjLWDxUXKxgxIrHficViyM8fQDQaRSAQgKryMTexbKFQ8jtobDR/B3ry8oBRo+J1Ul+XvY5D8bG4BCUlSGiLTmDbTeN9fVUVn1uI72nKy2NBpK1+Y3a/4TBQVSU+t/Ly3AoK2LzuuOOAf/1LQUEBMHKk/bjs5Zqqyqzr/PmWl7M2UVHBxmntXLy6OvEa4TAbw6LRsOH3AHDFFcD77yuoqooiElGG+js+7gFsHlpcnNj+qquBzz5TMHp0ZGgMLCsLoa+Pzc+0Y0oolIeammiC/jC6T+1zsjo2l4kIRqP1vLvlgAMOwIsvvohYLIZtOyJWjBw50tQ13wlcQFvFEeCLDSLp+C699FKUl5cbWuqdEg6HETbwiQwEAlLu3U8URUEgEICiKCgtZY0uLy+AsjIeuIZ9xlxC41HNFUX/Xfz/RuTlKUN7kfPy2LGBQPw3LCCYgoGB5PM0NLD0H2vXAkceqQy53vPf5eXFy+WUggKeacC87DzGgfaYo45iAz+LWmp8fe0zsoMda3x8KMT3MCsIBo33WNnR28tEH091o78Odz3j5w2F+HWSy8MCwsSFnHaPXyzGOtpQKPG38eOSz6ctT36+WLC++H3w95P4DsJh7rKW+Dt2bvYcRa7T28smMizXbWzHu1ZQXs5cObXXB5jwt6tPRvfthYICJLUJgP1ffw1F4W3e82VNURS22NfTw1z7qquVof2rZvccfx+J3w0MsGdv3bfEtyMl1snk3/T3s4UCs/tXFLZ1RFt/zeoKj4GybVsANTUWD2QHvI4UFDD33SLd2pb2vdnR1cUmcUaxLYx+z13U8/MVXHgh8NJLQEsL65OT2w0TaOXlcDV+8TGF/zYWC2j2MSeXTduW7RgcZItE7e3KUCDRUIiPG/z6Ys/Q7JjWViauAoH4u3faVvnxPG98IKCguhp4/31gwgTh06Qd1v7i9YwLdLN31d3N06UqCeMCp6sLWLQI+M532Dl5P22UaYONJfHtX177rK4uJlJl9Ls9PUy4sT3+ye2wuJjNV1j74uOucb+jbStGZRsYYM9Tm0WJ/U6srPr71s8zZDwP3vfy4Lxu3hXrm43mleLn6OzEjn7L+jizeQ3r98WuZTZfE4HHweHPS/tu/Lpm/P7iz1cbvFM7f9BfQzvHtxrDmXe5khCkmY97AJsbsXlm/LPSUraFq6xMSRgD2b1iR5mUHW1EsSwDEI+JYXU/wwHRsVvaVDAQYJYCvpIpAx7Qr7Gx0XTvQh3bDG4a/E/L008/jY0bN6KqqgrFxcUJfzZu3AgAOProo4c+e/LJJ6XcRyajDxbFGyEXvtpAK1rLhWiwDbZ/1LxjNQtcV1/PhP/KlWwlWZ/OzwsiAWSMAnOdfjrrsIxSybkhVen8rL7XLhAGAu7T+eXlJUcLF43Qy4M52aFP52cUbEYfXKqrK36PooGDeDAaHtyPX6emhgWd5GXRlj/VgWe0wf20gf30ZeP/9zO4H6/HRUVsElZfz/7YvVOzqP76qOJmv9VG9bdL52cXpM0sCJIeHrxL0KNuCKMAU3wxTzRrR1+fs/Ry/NlWVQEnn8yCpTY3Jz8L/h7q65nlTAZ29+Ok/+zrY/0uX1TigTe11xCp31bX3LoVQws5bnKJm12roSH1GT+8YhTV32rrKA+eatYPBoPAkiXx4H5WQQBlB/dzGhDTCmYpNY/qX1DAFnx4+3K2dzwRo+B+Ts6lzeziR98vK6q/fo7iZiy1i+pvhdOo/l7QZ3lJR3C/QID1RyL3LDJf0uoFs3vp7jYP7sedo/nvzaL625HKII25gGuFftppp+EDi0S5zz33HCZMmICJEycKiXIjZs2ahUAggP7+ftPgfStXrgQA7LPPPrbnW7NmDZYvX46lS5cm/Rk1ahQA4M9//vPQZ8cff7yrcmcDvIGZDYo8V7KXdH5AfNKg7SC0GIm1M88E7r+fCf8NG1iOVm05UtFhWkXkdpJKzgqrwdJtVP+rrwa+/332bxHhr/3e6pnapfPLy0seTETrCPMGsT/OLqp/KJQoBgYGWO7Yo482LrcZXFzwusuvU1rqX5Rkp2ijPP/xj8wiCpgPnH4Kf/7+4yv38QUSK8yi+osKf63F1y6qv935OjsTUyCa1d2ODiYQZQh/fp8FBWJZIfQLPByzd8vLzz0eS0qMhT9/b3V1EPJiEEFE+IvWyf5+VnYu/AsL3UX1txKw9fXYETjQvfDn96MfO7iXSLZgFNXf6l3xdKlmom3CBGDsWOZ6DmSu8P/BD1hfakZ3t7XwLyxkwt8uqr8IesFmda6uLlZ3tfnh+TthXmvy+39ZUf31cxAn6fx224397UX469Mm+ok+g0EqMFrQ7u0VE/5O3oXVnPygg1imEy3aqP5WY7eopysJf2e4li//+Mc/cNBBByUE9tNy4IEH4tFHH8VNN92EDRs2uLpGNBrFnDlzAABvvvlm0verVq3Cpk2bUFJSgqOOOsr2fJMmTTL9wwP9jR49euizEre9SRbAJ51mE2JZwp+fy6zxGk0CeJ7sSZPYb/V7+dMt/LXuSF6xs/gD4hZBAFi1ij2fzk57lzmjNCtm5bFL52dm8RexUoim8wMSLf76surrUlsbMH06cP758fI4sfjz6wQC8YjDmcg33wA//zmbQBlNqP0uN9v6wv7d0cEWIXp6/LX4G6XzM+urRNKyffklMGNG/P9mk5GODmYVdyr8jeoen5QVFIhZhZ1G3Odtr6KC/V1czPZjmz3bzk551lGR/sqN8OeWTL3wF6nj+hSYWrQWUrfCn5eB94faqNbZRE8PEmJR2Fn8ucg0my8EAsDGjSwvOJC5wn/RIp5NyJiuLjYXsbL4NzXF65GZld6NBdPqeWzZwjxLNm+Of8bfSXFxfHuaTPwS/k7S+X35JWtbdun8rEi3xT8V19Qv4jkR/qLvgtcHo77iRz9isQC08LTYJSXxvtyoHum9Us0wai+EOZ66g1gshptuugmHHXYYtmzZkvBddXU15syZ4zqiP2fevHkAgIceeggDulHl3nvvBQBcffXVQ9H9AWDJkiWYPn06TjnllKTfEAxuOSksZKvxeoxc/bW46RSA5MFQPxnr7GQuqUDc+qQP35Arwt/O1Z+lRXFm8QeAXXcFli2zP87OI0CLduVYvxBhZvG3mzBy3Lj6Gy0m6b1H2trirmSAeJ3lFn8gefHESd51v+Hl4BMfK8ux3xZ//oza2oA99kh8T2Z4tfjLcvUPBIBPPmEeRtqymbn6u7H4G90r90SIRLxZ/M3gdZ33n8XFxhZ/LWaLMU6RafE3cvXXe/eIYCX8tWXR9r1u4P0hf47ZZvHXLwjbWfz5oonR4pvRAq3ZAiWQXuGvF2Z6+L55raeRlsJClraQT0VTZfGvr2fbeVjay3hZCwvZvbe0yLeG+uXq78TKDAArVnh39XfybLyM/0bXSoWrv/aa3OIvMueya/da+FxWdI7F22RpqbHXL8fIOGUEWfyd4Um+vPjii9h5552xcOFCzJw5E//5z39klWuIOXPm4Pbbb8eyZctw4oknYsmSJVi9ejWuu+46/OlPf8IxxxyD66+/PuE38+fPx4oVK/Dss8/is88+Mz13R0cH6uvrUV9fj8EdtbWpqQn19fVobGyUfi+ZBB8Ypk1jq/FGWFnR3Fr89S6v+slYezuGcpwWF7NJtlGDTqfw17o1e8GvPf5VVczyoD230YSe5TgWO6d25Vi/EGFm8Rd9Rk5c/a32+OvFQHu7O+GvHWz0Cwy1tdZWoVTCny+f+BQWGouMVLn6A2wfr1ZAW2EmMkUErl7421mKrOpiaSnw1ltswYJjVlf6+nigOevyGZVXfz7uiSDq6m+2IGL2HPlnPKCgiPAvLJRjoea5uM2eu1tXfzOLv8i5rIS/tpz83bttM9yll/eR2Wbx10+i7faXW7n6670HgNRb/EVFoZ3Q4cYSfqweLvz5/Xrd469/B1bCf+bMROGvtfj7IfxlWvy1fZoTiz/Asiik0tU/EjGvu3ZoXf1lLbDaYbXHX+acgNcHp8K/sDA+bzOqRyT8/cGT8J81axY+/fRTnHXWWdi2bRtOOOEEXHrppehz2zJMuOGGG/Dyyy+ju7sbhx56KPbcc0+89tpreOCBB/Dvf/97yE2fc8opp2DkyJE4+OCDMUPrv6njnnvuQW1tLWpra7Fp0yYAwNy5c1FbWysUMyCb6epKHpCBuJVWb/HXr4a7tfjrrVv61X/9CvCuuyafLxUWV9kW/3/8g1lDtTgR/k6sW8XFifv9AONJr6gbFZA4QOpXaM2Evygyg/tp71Fv8RedVGgt/toI0wATh0uXZo7VH4hbtQoK2L+Nor77WV6tq380mij8rbabWIlrmRZ/O8rLgXXrWCwRu7INDDB3X337ssPO1V9EHJrtETWzoBoJfzNXfx6AyWzxyCkDA9ZbB5wG99Pu8efB/ZxOM8yek75teA3ux8dKXh+zzeKvx67/4PExjIS/dgsFJ1Nd/e2EunbOZDQ3KCjw1+JvVrZnngFmzUoU/lxQp0r4u0W/fcmpkaO93VsAR6eu/kZzKyfX4vWG9/mpDu5ntsffa1tzavHXZrexitfiRfhn0hwt0/DssFxUVITHHnsMf/3rX1FcXIzf/e532G+//bBq1SoZ5Rvi6KOPxoIFC9DS0oLOzk58+umnuPTSS5Fn0APPmTMHjY2N+N///meZ1/Dmm2+GqqqGf9zGJcgWtKvXWrTBYLSWXf1k3KqB6y09Wldg/SRXfx698P/nP9nf2vNlo6v/qacCCxYkfuZHcD/AmfB3a/E3cvV3K/zdWvz1dUD/nIxc/UWeo3awCQbVhLJNmGDuIZMuuFdCYSGz6OrfaSraCn9GjzzC8qHz92QVWM/M1V9k9V6/x9/LPfI0jVrMJqD9/Uz4y3T1F93jb4aZJZv3q7yft7L4b93KvFlEFyHM0L53q723Ti3+3NXfyx7/UMj4OfGo9Jy8vMRsIE7RuvqXlmafxV+PnSDm6brMhH86Lf7t7fKEv3ah3Mzi39Zmv8dfBL0l2s7V/5RT2KKeFkVh997aml2u/k4W3dravAXNc2rx9yL8teWUtcBqh5eo/lrs3q9T4V9VFR/z+CKuTIu/l7Y3HJAW8uPMM8/EkiVLMGvWLHz22WeYNWsW/vznP8s6PSEZo5V4IO6Kr7f461dmrRqWvrFqV4ftJpb6gYBPyLQdQrqFvxtX/4oKth9Nj58Wf+0zMxIHRp2qWQevfYf6iZvZHn8rtNdxYvHX/t7I4q99Tnrh4WaPP8sNG/+upiZzXP05/LmYCX8gda7+/NrcC8Bqf72Zu6PWg8AMvcXfCrt7NxKEdhZ/EeGvva6Vq7/oHn8z7IS/iMWfR/T3MiGNxYDPP2f/7u+3d8F16+pvlM5PBLPn1NISTzUHsHevFXBO4e1hYIAJ/2yz+BulA7WaRHOjgJHw1/alHDvhz8dXWRZ/7aKOFXZiITH/efL3vL7w+3VzD6oKfPFF8vhmdi6+9WjECFaP9XCLv0g/6QQ/g/uJGjn4QouXuWA6Lf7pEP5Oovo7wamrPxB/71bxWtwKfxkpWXMZqbE+d955ZyxevBhXXnkluru78ZOf/AQXXHCBzEsQkjAakIFE4a+1oNrlCteidyHXCnU765bovvNss/jX1LD9aFqsFjC42Heyx59bwY0GJ6Pn7sTir0WGxV97326j+hsJfzuLv8hgoB1E9Bb/2loWRT9VkYCdUFLC6piRxd9P4W/kms+foVVEfTOLv0gKHyfC366vMNqHbFZX+vvZIp6I8DfaN64/lxNXfzPMBG0sBpx9NrDffuz/xcXm1p5t21hKMC97/FesiG/zsBP+ToP7ceHP43b4Lfzb28UFox698M8Fi7/Vu7IS/kbbyVJp8f/6a+aBJIJX4c/7EC8W/2++Ac49N/lzs+fR0MDabXm5tfD309UfSE9wv9JSNsZ7qSdO94bLtvj7PY81soSLBvfTYnesU4u/Fquo/vp4S2aQ8HeGJ+H/9NNP4/HHH0dzc/PQZ/n5+fj1r3+NV155BVVVVXj//fc9F5KQj53FH0gcyJ2kktK7T+mD+3V3mzdikX3nskSM1XnsLP5Ohb/RZMdujz8X8qKu/nz7Bh+ctOc2WmF2ks5Pfy/aSTefBLgVw6IeFHZ7/PWeEW6D+2nLorf4V1UxV3+j55buPWXl5cxlO9XC36gv4QOxlau/F4u/3tXfC0btwCwehF+u/n5Z/CdOjNdf7vJs1E4VhfVPXixRX34Z/7eI8BdF6+rPRbq+D/IS3M/M4u9F+POxs6Qk+yz+erxY/I2ElZXw589OVp/V3Z06i7/W84r/X/Qe+BR66VKWkUf/HM0WX+rrmVGhtJS59OvJtqj+ToL7lZY664eNyijL1X/rVvvfZprFv7s7eXuIW9xY/DlW/QFZ/P3BtfA/+OCD8fzzz+PRRx/FNr0pE8CRRx6Jzz//HEceeSTUdM+IiSScuvo7SSWlb4RGe/zN9mWJWKFluPrbpYOSbfEvKmJBkLTYCX/Amas/d4M1GpyMLHleLP76jlpRgBtucH4uANhnH+Dww+2PEwnuZ2XxdxoxGABCoUSLfzDInq1+MHJjgZQFfybl5cwClOo9/kbxQrTCP90Wfzsuu4wFyNKXzWixbWCAtWWn71pGVH8zzPau6/swLvyN+vFPP2VxSPRZV5ywcWP8XXPhr21/WtxG9eciXabFX79A4dXVXxvcr6jIPJNAtuDF4u9U+Mu0+Le0JKcCtsKr8Oc4jeqvqsyLCGDCf489mOVfi9niS1MTW4g0EzrZENXfq8VfBDPjiQxX//Z24Kc/tf+tti3wfjbVwf0CATZPDIVYf3/PPdYBeEXhc1mrtm2GqMXfChL+znDdHSxatMj2mGg0ildffRUbMy0aFmEZ3M/I1V8k0jZH35lqLf58kmu20poq4c/v0+ye7IS/0+sbDRiiwl/U4s+9MoqLk1fCjVaY3aZAMSvzgQc6PxfA3OdFr2sV3E+/QGK0x99p5HejbQhGgxFfSHIb4NAtWpHMLf6jRiUf57fFX+8qLyL8U7XH346xY9kfLVau/vn5zp+nmat/KMTqkpG1ThQri7/2+fC6afQ+eCpDp1G1tXR1KYhE2H0NDMjb48/7tVgsLvz7+pwH9zN7TkbiQ5arv+y0WekglRZ/fryTHOJmfP55YopOK7ghQobw5+1LVBDvSCiFWIzt7z/iCOCPf0w8xuxcRtuUtPCAnkZjrJd5lJ97/J1Y/EX7TV7n9H2fyCKzFjPhL+J5oDV2OY3b5BYjiz+Pe3HKKcBpp5lv+3WCNsCw0zFZu4hLwj81SN3jb0RnZyceffRRvy9DOMTM4h8OiwX3A8w7e72o1wf36+lJbKjawSfVwt+MVLj6W6G3+IsK/1CITbbb2xOfkVHQLicdYyZMXrUTDLPgfjL2+GsJhdSkurZ9O7OyJB7nPr+vF7SpjDLJ1Z8vzFgtGGaKxd8IswmoUwsRx+he+US0qEhs36jZO7QS/voAYT/+sfHCEMdpBhEt3JIEsDaid6HX4tTiHwyy+9Fa/N2k8zN6TkYZa7y6+ueS8Bex+AeD8i3+XqNyL10K7Lkn+7fdO+jpYX2YnfDnbd+sf7rrLrYdjB8jcg+rV7O/m5pYG5o4EWhsTDzGSvjrhZG2nEVFxlH9vS6syHL114+lThbni4rYcxJpp1Z1zslc0kj4d3SI9d9aV/9UeQgaWfzb29k8PBxmZZIh/Pl4X1DgPBsKfzdG74GnmbVDv6hDwt8a34V/R0cHbrnlFr8vQzjEbKWYNxi74H6AeYepnxxrhT/f429mbTYT/vqJQDqFvxtXfyNku/rzCWwkwibI2veld/V3utKdCWiflZ97/LXo9/gDzEKz006Jn6VL+GutqukS/kYTBy6c/bL4y9zjb4TZBJQvajrtf4zulT+b8vLUWPwBZknkbsVGeLFEcc+P3XZj1tb6ehZ4zAinwj8UYveybRtz39ZPnL3s8Tey+MuK6p9twt+orKIu8Jnm6v/pp+IW//7+uFeJGdoxx2zsvPbauBA1ugeje+rqYotxK1eyum3kJeNE+G/dyvb9A+y7zs7kfsBrujO9xd8ty5cD06bF/+/E4q8oyYv7Zsgan70IfyOLfyqC+xlZ/LVxKMyMgE7gc9nCQufC38ri39Fh7TXG0d8DCX9rhB19Fy1ahOeffx7nnXceZs6cifPOO0/od93ZHtI2RzFr7HzwFrH4m6Ef7PUW/+Zma+FvtIIbDrMyRCJyJlJ2KbQGB807MDcWfyNEhb/ZoHXJJcCDD8b/zydgipI8mdW7+t94I3DQQd7vwQ1ePDbs9vhrB2D9arE74a8mXeeaa4CDD078LJ3Cn098KiuBDRuS81b7Pbkw6ku4RdYqNohXi7/fwt/M1d+txd9K+BtF5NZj9h5536hHZAFFjxdX/+5uVgfHjwc+/BB4/XXWRxnhpE5ya87UqcALL7B/u7GYmbXR3t7ENhMMsoUYtxZ/7R7/bBP+RuOybFf/goLkDDf647nxwQuNjfGFJ7v6JiL8tYiM/0bi2mw/9dSpwGuvsawYU6ey8Vl/LjPhr13IU9V4wD8gLvyNLP4yhb+bd/XjH7P3ox+jRfsfVU3ezmdGJgh/vcXfbT/rBL33bSCQKPwB4616TuH1wYvwN2qjnZ3J8xk9lZXAo4+S8HeCsPCfO3cuWlpa8PHHH2Px4sWO3PcVv2eehGO6uhRD4a9tMHYWfzOMXP216fy2bDEX/vqBjMM7bi78ZQT3sxoIZO/xN1v9FxH+RoEBu7qAl14yFv5AsvAvLEx0H/zyS+Df/3ZWfllYPVu7Mljt8dcPpvrn6ya4XzCYXNa7704+LhMs/kVFrO3stlvycane419czOpsc3PytgiOjD3+fnmtpMLVn/eBosLfDCcWfzu8uvqXl7N38q9/sToxcqTxsW5c/ffcE+BJgvTBWUX6J75YpMdokXTbNjlR/UOh7BP++vot29U/GgU++cT8+nyvvdfn5jRzhBPhL5pGVH8PZvOeqVOBV18Fbr8d2HVX4Lbbks9lVDatxZ97MeqFf0dH8jW9CiMZrv6bN7M5jBan8wy7OCKcTBD+6bD4m+3x147XZvG+nMDnWm5c/bVjjpHF3074NzUxL0yv3p3DCWHhf8UVV+Cpp57ChRdeOPTZ/fffjzKbsKktLS244oor3JeQ8IXOTnOLP19td5vOTyS4n36PP/+/WTo/7eQ23cI/1RZ/o8Gmvp790Z7DTvhzDwdVNd4jnyrcRpG12+Nv56bsJrifkcXfiEwQ/gBw4onJ7q2p2ONfWZn4WXExq589PcnfcVK1x9/Nvdu5+vNI+qJ9otEiB+9jysoyR/jn57tPM9XdzSZf/f2sD6+psb6+U+G/337MowVwZ/E3E09Gwr+pSZ6rv9e96qnEKOiuncWfL9SJCv+aGtY3GKENCuqlzzJaGLZiYCA1Fn92f8k3Nnky8PvfM4u/ESKu/jy2j4jwT7fFv6XFfEFYFEURz9xglvnEabmNAie7sfinK7gfX8STbfHXBvdzKvz5OzBqrx0diq3wB4APPgCOPz7+fxL+1ggL/xtvvBE36vyPTjvtNESjUcvfbd26FZdffrm70hG+0dDAVt718AmLl3R++smDdiLPV6W1E4JJk4A1a9heL7PJtF5YeRX+Zu6x2jLL3uPPJ/8ik3Gt8C8pMRb+3d2Jrt5a4a/f+6d19d+wIXmPulO8BgaSIfztLP7670UGA737uNEefyMyRfj/+tfJx6Rjj792gmQm/DN9j7+VxZ9Pss2Ev76OG52PW4BEPFGs2oxVOj+n7cyLxT8WS8xQUFdnfqyTOsnHirFjgeuvj5fT6R5/M8u10SIp4N7iz0VRtrr66y3+opNoJxZ/s7znsvb4NzWZ9ztG8DgSMhdpzCz+Rn3WLruwyPtm02kR4c/z2tfXxxd/QyE27vsp/AHn72rz5uRMKm7o6gKmT7c/zo23nxFmFv/eXvu5ndbin67gfrx82j3+3d3u0jpr4QttboS/dry3s/jr5308TteaNYmLGV62rA0HXNv8Fi5ciAqrKEE7qKiowMKFC91ehvAJs71RWou/XTo/N8H9eHR5bYe0554sAi9gLfy1Fn+vmE2WObJd/QEW7Vfrbm9l8dd6QxhF/a6vZ261WsuJncWfC//PPhMPeuQHbvYeA/bPXMTibzf46xdMss3ib4Sf7oSrVgFPPJFcBj5BCgbNJ3hm5XJr8TfrF9zcv9lEkS9qGll+9MfpJ1xG1j/RdmDlcSXb4u9lQio6oXXyTozuw01UfzPLtf7ZehH+WutVNgp/I4u/bOFvteguS/hrrd4iOHX1FzkuEACefhp4/vn4Z2YW/2nTrNPhurX4a70p9WXzIvy9uvo7fT9W7L67/TFmQtDp2GA0F+voYHM7/XZMPUYW/1QH99N63gKs7rS1eRf+3OLvxtWf6wNji39c+BuNyS0tzHC4bl2i8SFVMRSyFdfCf86cOcgXSAI+ODiIr7/+2u1lCB8xamhmFn8n6fz0A432uJEj2f7J7dvjK/IzZ9oLf+1kIRtd/VU12cVRxNWf/1s/SDc1MStBc3P8Myvhr52Qf/ONd4u/l+fv1tUfsJ5g2FkBRSaw3PLDCYUyV/grCrOuiuxx9Et8fPkl8KMfAXvvnfg5F/7d3cCMGc7O6WSPf6qj+mst/lbunUYulmYWfyA+QTfDyuNKtvD3MmESFeROxIL2OWmv43SBQtTizyeQTl39tf20qman8DcSibKFP2BtNMgG4S/yPBSFLYr+7nfxz4wW+wYGgAkTgKeeMj+XVXA/vfDfujUxm4Yfwt+rq79X4c/nToODYudxs83P7Dz659bby7wtrAxJQOJ7SJVFWr+Qp7f4FxSwOUQ6Lf7accrI4s8XYI2eWUsLi49RX08Wfyf4vsu3tbUV5557rt+XIRxi1lFrxb628Xhx9dcOWtzqrU05M2UKS2XDr2Nn8Qey09XfjfA3+76lhYl37d5grfAPhxPfsfa92g26ou6JbpER3M8Iu85eZDDQT5Ly88Vd/ZcsYZHMU0V+Pnv/IhZ/v8RHVxdbzNPX05EjjQMjiiBSP4xc/WVaT+yi+vNJthlGueH159OWf8oU5j0hej4tZsLfjWeNF0sJ9xITtfg7cfXX34f+XYu8e9E9/qEQa/NOLf56MZUrwf2cCH/9uzcT/lbXzxXhr93eyDGqy/z/VuOMSHA/3ifpjTRG/anZNitRvAr/ujrzVJ+i11cU8XmYmQeXjLbZ389Ep12/qX1mwSArT6qD+xlZ/GUIfy/p/Pg4ZfQs7BZLuPAHkoV/KrZSZCtCXfLjjz/u+gKtXhIUE75gNSHUW/xlBPfTDgy8A66vB8aNi3/Gvxex+MvAi6u/U4s/7/Bra1Mn/P/3P/MVUKtJEX8/2smakyBmIsgI7meEXnS42eOvX7RyYvH/7W/ZM/7qK/vjZZCfzzw+7PIY+y38jXZ8XXQRcNZZ7s4pUj/8tvjbufrbCX8jV38ri/+4cSzbiZl3RLa4+uuj7VvhxOJvdB/a9i1yLrN2oO/f+ARWhvAPBt0HS0wHXlz9jRZ93Ah/LgK8Cv999hE/ngt/O3dtjqjFv7o6LvLy8ni/4PzGnLj66zHz4kinq//KlcAZZ7i/vtM5hCxXfyP6+lh/4WSLk5M24QWzPf58nsiF/+jR7q/BF+EDAbZtd+ednf1eu7XPqWGnqwsYNYr9m1z9xRGqfuecc47rlHyqqlI6vwyjvV0xFQu8cXHrjYzgfvoJUU8P8NZbwFVXJf9W1OLvlVSm8+PnqqkBVq+Of27VyemFv/7YlhYW1EYv/PkkQL+vWuvqtm2bdaR1/UTBi/A3ek5+Cn+rzl40uJ92oHQS3K+xke3VTBV5eUz4p3OPv1kqoGDQfdRmEcGaCa7+ToS/kWut9j7tUvqJuvr39rLzVFe7C+6Xqa7+Mt6zlau//tkWFTm3XOnF1HB09TfyajESOTzIr/4Zp8viz70zZFv8a2qYl+O2baxN8tSHThEV/o2NyccZbZWR7ervlLo6ZgiRcX0RZLn6G8Et/k4WTN3UATeYWfw5Miz+fMxQFPZvgdBvCfD+XSSGk/4dauem2j6cXP2tEV53OuWUU1DgIudDV1cXnn32Wce/I/yjrS2A8nLj7/Ly2GBiFNzPrcVfP8jcdBOLLG+Ub9xoMgDI30MdDltP3GW6+muFvz6NkVlnpyjxPwD7vdaizy3+X3wR/01fn7n1Vzsps/L4MJq8GU2MRSdlRsf56ervNbiffqIqGtwvGGRxF7ymKHKCqKs/4K/F32sqID2ZYPG3iuqfl8diGLS1mf/eyNXfyhqqD9RpdD4Ri/+f/wz84hdsQWhw0PkE00u0aUURt/h7De7nBtHgfgBbGHW6aKJ1n87m4H5OXf2t7s9M+POFLr04lyX8GxvZdiNRRFz9teUREc2Kwu6Pj/vV1fIt/tqFhJISFivJaA6QaXv8tXMbNzhNRywrqr8RTiz+2vIAqXf11/ejkQhrK16Ff3+/+7hNP/4x8L3vMaOYU4s/F/4rV8Yt/9oyEcYIC//f/va3tqn7jKivr8czzzzj+HeEf2zdai38eVR/t+n89IO9fmA46CD2Rwu3FOWiqz8/V3W1uKs/vw7/fto0YMUKFo2/p4eJjrFjgbffjh9vtQ9Y22laXdOoczWaGPN6kpdnP+jrI897sfhzjK4pw+KvHyidWPwB94OfG7irf7r3+LvNd26G2z3+WswWEEWxqis8xebmzea/N5pw8dRDHL3Fn8c5McLO4s/7xnA47jkwOOj8Gciw+Mve429ksQQSfy8ygRYN7gcwK61TzFz9s0n4u7H4Wz17p8Kfv2uvfVZrq1h+d46d8NeXRTSqv1b477GH8cKKCGZ1V/t8S0pYWjMjT4dMiupvlP7VKbJc/WXgxuKfKld/ffvTz6FlWPz5orbbRYzSUvZnzZrk77TntBL+U6Ykfk6u/tYINZ158+ahWJtM0QElJSWYN2+eq98S/nDccZUoKjLuqZ2k8zPDztXfiPJy1gGZCf9IhA0YskiHq39RUeJ+TyfCX5vycPRoYNEi5lJltsdfj+jAZ+dOxSksFHsfigKcemriZ14seF4s/iITFCOLv0hZ+WQulZP8vDy2J9Vu0PZT+Ju5+ntBhsX/zDPZnnm32FmInEb1t0vnZ+fqb2Xx1y5iNjbGXS3dtDOvE6ZUBffTI7rH38zir+83r75arGxahrurv+j5AFZHt20zP95M6Ipitlhkhp3w7+1NXEQT3eNfUwOMH8/SjfHrGKXzEzmXUdm0fWVpKfOk1G/j++Mfk7OupNPirw3sLOP6IsgU/vp5Rn8/m9u5cfVPtcW/thZ47LH4/8Nh7+n8ZKYmdGvxNysTYYyw8C90ObsLhUL49re/7eq3hHy48KyvN26l2r1Qdun8zLAK7mcGn/iaTRSKi8UD74jgJaq/W4u/HifCX5vyUFVZJFO9WLCyCmo9OaxwIvxF3oeqsvSBWmTs8Td6blrR4Tane3JwP7Gy1tWlbt8eR9R90c/JhR+u/jL2+H/yCXsnbrHbEyqyx1/bFu3S+cna419fz1weY7H0BPdzslVAVCx4Sf+pRSsmtdc2GnO++1135+fvmKfzc7JvPBNw4+qvxSgjjNF4XlPDBKAerat/Kp+bXvjr70O/wOlkj7927Ja9x59/B7A+aevW5KCUP/5xskXU6p2KtEsvwt9rKj9+fSfjmlF/7tYAoZ+L9vWxMdDJwkK6gvsVFgI//GH8/6EQG8esjHoic8a+Pu99tNc9/nbHEnF8d0xtamoi4Z9BbN8OHHVUD777XXuLv8x0fnaDeEkJs/gDxh0AzwsuCy+u/m73+OtxIvwnTYpbDfbYA7jssrj4PvBA4N//FrP49/RYCzWjDtPIbbqgAJg8GXj/ffNzcRoaEicZqQju5yaVGZC8aDVjRj8mTrT/3X77AQ8/7Px6XnCybzFTXf2NyiVSPxQlWfh3dgIXXshiLWzaZL1n3g47sSOSzs8uqr/Wkl1aGu//zM4nssd/2za2KPjmm8BDD0Go7mpxO2Hi7/Goo1gMFzucigWjftLpghYXk7EYcOKJ3s5lBB/n+H1xEUsW/+TPjeLdaI/300vJCL3w13scaBc477wT2Hdf+3POmMGOGz2aBTP+6iv5e/y1cOEvshBrNSe7+mr7vlM/p3HyrjZuBMaMET/eCDcWf6PYRW4s3fq5qKirv/YZpSu4nx4u/M2eg8gcgy+qpMrir72O2TskV39rPK871dfX44033sDmzZvRZ2BC7ZCp1gjPjB0LPPJIi2m8Bm06Py/B/az2+BthFxTKD+HvxdXfrfDnWxZEBmc+AeLX5M+wpISlwuHfrV4NLFtm/Y54p9nSAtP4DtrjtHR0sOevpbCQuYg1N9vfR3s7mzjxveipCO5nlJZKBH3d3W+/foiENtl3X/bn+eftF3RkISrSMtnV3+g5iVr8eQohTm8vc+//7DO2EGNkURRFxNXfSvjrF9iMXP21Fv+CguQYAFqsFl61VvaeHib2Fy8GLr8c2HVX83OancvNhIm/s733TnYrNsJJ+5BVd3kfun498NJL3uNAGJ1fa4kcHGTvLJuEv1OLv97yqn+vVsL/3XeTP0+X8Dfyzvj6axZAF0js5667Tuyc++0X//eFFzI3fDcBNwGxrQ9FRWysFumPrYT/8uVs4dTKKu/F4v/ZZ8App4gfb3d9EZxYi+0wEv5OXf3TFdxPj53wF8mG4DW4H0f/LPR1ilz95eFJ+P/617/G//t//y9B8Ks73hal8MtO9BZ/t8H97FJZGV3XqoMpLraeaDvFq6u/26jU0SizgI8f78zir4d/rigsevG2bewZ2rn6Nzaap/Ljx4kKf4DdixWxGJs0dXTEhb8Xi79VPdKKFn0dFMVt8CUOX9iRve/dCNEURX52xU76BVFE9/jr937HYszqv2wZcNhhTPi7FQ92z9auP9KLSjNXf15+uzR4Vt482kXT/n4mVl55JVF4iOJ2wuS03ch25Rap4/yay5axPearVjHvKVnoF3f4wk42CX+nFn/9lhaR8wFsHDRamONt34vwNxtXrcZbrcWf3+uyZXHh79WziXs4lJXJ3eOvJRBgAtSrxb++3t7ir/Woc/quVqzwnvZWRjo/t2NXeTnzKuOIRvXXB6pLBXbzIBHhL2Lxl7HHX1+P9GXnZdVi9g7J4m+N6zWaF198Eddeey0OOugg3HjjjcjPz8fPfvYzzJs3D/PmzcP555+P2tpahMNh3HDDDTLLTPiIE4u/1SDq1NXfbm9orrj6a/eHeRH+WrjwF3H1/+ILayugqMWfl6uuzrqM/J1p350Xi78Vflj8nRKJWNcrmWSCq78f3g1u9/gPDrJ61trKFtba291v+bCb8Nh5KOmFv5mrv6jlx8qbR7tooKosTeobb7jbR+vW1X9gQHE0iXYiFsyejfb3IufiVtP2drYdggd/lOlRoE3nx4V/Nu3xN+r/rKzNduLJrD+1Cw7rRfgbiR07i7lW+Dc0MPGs3cftNZYJF/52CyVmiD6PkhLvFn8R4T846N7iz5+1F2Sk83Nr8Z8xA/jyy/j/3UT1T2VwP6v5jAxXf1kWfz29vUrCGBqNMu9WLWbjIu3xt8b1FPfBBx/E2WefjUceeQQAcN999+Gyyy7DRM2mws7OThxzzDEoNUsuTmQc2obu1uKvt/6IrFanQ/inI7ifdsIjQ/irajxCcnGx/crt0qXAueean8+oo+/oSBYR7e3snG6Ev5dgXaJ7/N0KeK/CX7vf2m94UB07Uu026wSzPf5u0vlpvUtqaphLqXaC6gTtxGHlSuA//wGuusq+7Bwj4W/k6i+6KGE1SdWLmj32YPXCzT5aJ8H5tLgJWpbqOsnHoe5uZsn1EgPCCL2YykaLv1PPDbstgGb9aSRivbXFS59lJHb4uzfrC7T3vXUrqx/ahQmvXly1tSz959ix7i3+MoW/2cImj4FhFxhV7+qfatLp6j9rFnD00WxMePBBVpZwODOD+9ktkIRCrNxeXf37+uRb/PVjaE0N8KMfJf6GXP3d4XqNZsmSJbjwwgstjykqKsKtt96KJ5980u1liBSjtfhrO0snE7uursTIsiL701It/L24+nux+BcUxDMryBD+fD/kwID14gw/z6pVLCif1flELP5tbSxoUXOz9YJQZye7tl74+7HHX2txS5erfyqFvz49pBl+Cn8/Jn0iYt3K4t/RwSbaHR1y6to//wncfrvxcWYLmiKu/k4WmZzEWCkrY2UfOVLseC1eLP5OXf1TDX+nPT3AhAlx4S+rLHxxh18nG4W/04VPuzS/Zuez6ye9WvydeC0Aif1+SwvrP7QLE14t/hMmAGvXOkuLrMWJ8Pfi6t/bK7Yo5tbV32k0flnnMerXnPSpWsaMYZ6TJ5wAfPop+8zpgmmqMwCZweuiWZ1x4urvt8W/piY5phQF93OH61fV2dmJUaNGDf0/Pz8frQZhiUePHo01a9a4vQyRYrQNXW/91Tdss85eLxRFBga7hsoD18jCi6u/lz3+hYViYs3oOkaeE3zrgKraD2Sqyn5vNbETFf6RCLD77mySZDWRaW9nAkTv6u9HVH/ts0qXq38qhb9oiks/RZZXUWNUNhGxbiT8+R5/bvHv6HBf17RC4euv2dYBPRMnskBxRoi4+ju1+MuOpWCEW+Hv1IVZxmKUVVA5I/g77e5OFP6y4Is7/L54X5tNwt9pv6mfeOvHKLP+VKQvl+3qb+V1qC1neztzK9Za/L3u8Q8GWd1gz9f5jYkYTwCWHcSLq39PD+vr/HL1b2qyjjEkiqw9/l62HGgzUzi1MKcquJ8dvM+22iIq4urf1+dugV1LssVfSXg/VVXJv6F0fu5wLfxHjx6NOo0/UFVVFRYvXpx03P/+9z+3lyDSgLbBiAYP06MXijL2+Bu5ynohXVH9vbj6FxUlCz2t8LcTB3pPDCNEhf899wBPP20v/Lu72SRKhqu/kwmGW4u/299xUm3xt9onqyWbxIcMi39FBXsPMiz+PT3G7WbCBJaaygjZrv6i1imvE0m3rv79/c4t/jLqJD+HyLm0rv7V1dbpE90QCCROgLPV4u/U1V/b/+v7P7cLqbJd/Z0I/7Y2NmZpLf4yAraGQuw8bsYX0WCYXi3+PT3MY8huC5nbqP719e5ij1hdXwSZe/w5WuHvtN9Mpau/Fbztmo0bIhogL4/VF9kW/44OBdpd4rvswtrPUUfFPyNXf3e4flUzZszAfffdN/T//fffH/PmzcMzzzyDlpYWtLS04G9/+xuuueYazJgxQ0phCf/RWqbcTiLdWPxT3VCzxdVfS3ExCzyknYA4sfhv3Wo/6GrfQ2src3Pu6EgWPsFgfBHDSvj39rIV/lQE99PidsLp1lOAY7d3VSb6xRgzstHV3+0e/56exMmAW4u/FrMFM7Nc5IA/rv65ZPEHjOukqgKPPQa88IL9753ml+dW054e5oWk7YdlkJfH+kNt3ZMd3I+7FvuF035TP/HWL6inQ/i7sfhrU2u2tbGFIb3F34urP8AE9fbtQDDo7x5/UeH/3HPMm0kL77fs+nW3rv4yhP/AAPDhh+nb48+pqYnHQnDr6p8pFn8zuPC3KqdfFv+2tgDKyxMrViSS2LZluvp/9BHwr385+0224npKdNJJJ+Hpp5/Gt7/9bQDAZZddhtbWVpx22mmorKxEZWUlzjrrLDQ3N+PnP/+5rPISPmPm2uNkEO7sTBSnMiz+srFLn5UKV3+nFv+KCmZh1Ao+bewDO8FUV2c/6GqjlX/yCXDiiWwBoKzM+Hg7QcIn2akI7qdlOLj6i05E/RT+fpxXNJ2fXtTzPkbbrtxa/LX09BhPLpwI/2xx9XdbV9zs8Te6TksL8PjjgMamYIrTMUNr8S8vl79AFwgYC3+ZbeSaa+Sdywin/aZsiz9/VrL3+NtZzLWLiH5Z/MvLgcZGZ+2EI/o8bruNxSew49xzWaDB3/8+8XNtv2V1PX3fm0rhv3o1cPLJ3l39u7u9Z2rgmUGcCs1UWfzt5ql2Y4pIxH4u/GVY/LX1qLVVMZ138uPM2qWbBewHH2SxfFJluEknrl/V3Llz8dRTT+HKK68EAMyaNQtPPPEEysvLoaoqVFVFQUEB7rrrLpxxxhnSCkz4i1v3fi36ybao8O/p8T5JF8VuIM1EV/+aGuCrr5KFf3u7WHm2b7cfdLUW65YW9ndbG7MkGGEn/AcHky3+fgX30zIcXP1Fy5luq4JTRNP5GbnOG51LxoTE6BlqLT56RFz9/Qrulw5Y8FdxpWZWJ1taWLqs8nJ7N37t4q3TPf5erbdm5+fCX5vOT6bw1+YP94NcdvUXHe/92OMPcOHvb1T/nXYSawtjxwLnnw+sWJH4Oe+3SkqsYyo5dfVXVRaYTYbw5+/Jq6t/Z6f91ke7csRi8dTX2RzczwwRN35Zrv76esss/snH6dOMG92DGw/itjbg8MOB5cud/S4bcf2qiouLceqpp+LYY48d+uzUU09FfX09Pv74Y3z44YdobGzE1VdfLaWgRGows/h7EQ+i6fw6O1M7ubW6J7/S+Wld/e3gEfs5ZsK/pUV8cmUXWEcv/EMhVl6z+xVxQTZy9fd7j79bi79XV/9MFP5Adu0zFrH4mwUF1P7Ng1n6tZhYWckW04wQcfX3w+Kfrvc8MKBICe7X2soEkkjGCq13ktM9/lrhL2thTCv8/Yrq39wsd+uAHqeeJXpXW6/Cn7+LdLj6W1n8Zbj6c+HvxnNHNLifE3jAQS09Pew+rbyZAOeu/p99xjwW165lsVG8wN+L16j+MhZzxo1j9cWp8A8EWPnTvSgvIvxFLf4yxtlEV3/FVPjbxaBw4+ofiwHTp7PMV7mO5HAMQDAYxF577YW9994bBX4sqxO+IsPir0c0nV9HR2qFfzZa/NesSRb+TjpdM8s9Ry/8d9opbvk3QmSiWFGRnuB+ue7q78Tin03CX9Tib/Q7IL64xa2uXi0RvJ3qU0hZidPubjFXf21dy89ndcfoXWW6xd9pGkwrV//ycvaH9ztmfaSbyTbf4699N7LQ7/H3I6p/W5uzuAZWdHUZB3K1GyO0eLH4W419XoSuWTo/J8Jfv8dfnqu/e4u/UfllZMYwyp1uJ/ydRvXnZd+4kXkbeIH3uV73+Hu1+APAnnsC06a5szCnwt1fNLifGSKu/nl5rM3Ltvi3tgYwYkTycdoFXzPcuPqrKtsms3Ur+38uZwWQLvz1bN26FXmp8t8mPCOSvsMpt90G2O32EBH+Iit9srAT/m73+DsN7qf9ftw44MsvE4U/H7hEy2MXEM6p8Bex+OuFv5fgfuTqH2fXXYF777U/LtuEv+gef6PfVVUxF1btZzKGH20sDY6V947emmQ0EdEHJ4xEgDlzgN/+Nvl8Iu0sne/YaVR/QFz4m+F2j79e+Mt6bmZ7/GVa6Nva5E1Id9kF+NOfEj8zyuBihWyLP0c0ir0RbqL6axfhuKu/bIt/TQ2wbh1QWuqfq79TSkvZ/XJEhb/e1d8Obd/p1crtRvgbGbRkCP+jjwZ++EN3MaqCweyw+Nu58fu1x9/K4i8i/N3EDNPW+2uvZR62uYjnNaeBgQGsXr0azc3NGDRQjNvNfCGJjMSJxV+00/re9+yPyc+3F/6iectFSYerv9491Ynw32mnZIu/SCAeLSLCv6GB/bu5mV3zk0/MjxcRJCNGyLP4i5JOV3+ZddSKigrgiivsj0v35MIpXiz+F13ExLP2MxkTktJStr9aWzesrJJtbUhIRWRkpdBb/CMR1r6/+Sb5fCKeNW4i68vCT4u/GW6Ev6qyP7JTTwH+B/fr7WX3K0v4d3UlL2Y5Ff4iFn+/F3n1GC3eOgnu19/PFu209yHDLXyPPVg5xo1zblkxex5e+3YudHhfpRX+K1ea/87pHn9ez7wKbSDuiSFjj7/Xdzp2LPvz8cfO22UqLP529cOubXLhb3WczKj+Wlpbzff42xkA3fQfipIo/FtagG3bgEmTnJ0nG3Bd9QYGBnDdddfhT3/6EzqsooAQWYXTFEl63A703OIfjZofU1RkHXDGKVYdg5U49eLqr0135FT4BwIsmu2UKfHPnLqsOrH4NzYCJ51kPbnmE2krysoS3Sa9WGFTYfH3Kvz9DsDlhlyz+Jvt8dfWKxkBQ/lzKylh71W0TunvQZ/mDDC2+KuqsceIiKu/1/RUXnAT1d+I1lZgzBh/hD9fqNG2BZntIi+PCUSt8A8G5V2jrY39LUv4a7edcbxa/I3quV2OcKP+Np3B/fj1tchw9a+pAW64QfV9m5vTMtXXA5Mns/9rhf+iRea/085dRIX/+PHeA/sBcYu/E48Qsz3+MhYiAPu+SL9NjJcp3RQWAscfb/69qKu/Hxb/jg7FcNuRiKu/261CFRXx+VtHh/0YlK24rno33ngjfvOb3yAcDmP33XdHWVkZFIMevq+vD++//76nQhKpw2xvjGgjamszT/1mhUhwv4KC1LlRA9YTFhnC3+oa/Dr67595JvH/XPj74erf3g58//vsjxmTJrGAPVbo32kqgvu5FfButyFwUunqL4pfk0a/FhO8WPy1n0cibHLn5X3yemRk8XeCkSDS36eV8Bex+KdT+Dv1NjCrk3197DmICH+RCaD+mlqxoCjePXy0BAJs/KuqiseXyMvLXOFvtFWlo8OZGOrrSxTETvq/SIQdK1v4e93jb4SMdJqKwtyHuUedE/wI7gcku/T39LC2Z5WxRI+o8J80Sa7wd9L2/XL159gJf6P6lQmu/oWF1rnrRV39+/vlW/zNPLO4xd9oMYUjkklMC1+E19ZlEv4GPPHEEzjhhBPw+OOPo8QiGkx9fT1GjRrl9jJEijGy+DsZcLirplNE9vhrRakM3Ha6o0c7GzCsLP5WGAl/PU4t/nbljkSAW24BFi9mbv52nH22vReGfsKUinR+bif0JPzF0buqy0KkfhhNCI46iqWC40QibHLnxRLBLe2lpSyCv9v4D0bCX+/xw9uymcU/s4W/4mgPtJXwD4XYGGK3vzIYdNbWuHjiz7yggC1uykqtFQgwj4UJExIXFTJV+BcWJgt/pws4dq7+VvDx3GhMSkdUf96XmY256RRpXmIeWFFTk5jSr6eHvcPKSubmbFUe7b9FhP9++yX2z27hXipO2oFZcD+vXhwcO+FvtBiVCcH97BCJ6i8ruB8g5o3V1QXcdx9w8MHmcTfM2ktHB/DYY8DFF7P/9/ezOvnf/yYHNSXhb0BLSwtuvvlmS9EPACUlJZg3b57byxApxmgvFHdZNEI/efUi/NvbrYWsbOHvtlO85hr782qfiSxXfyOcBhyym9TxZ/zvf4ud79JLnV/Tz6j+/Hu3rv65Kvz9gOVul39eEY8Qo+8feyzx/zIs/lxMc4u/k0wKWkRcoHnfZ9TH2dVLRYlP2tOB0z3+gL3wt5t0GbmqW6GfDBYVsWvIqsN5eUycFxez+smFvyzB5ofFX//8nPYVdsH9rLAaz/1w9Rfd45+J26L8WrytrQUWLoz/n7c/Ow8D7Xeiwv/445n494pbi79+XivT1d8umJzRIrnfFn8Z3kwirv6ygvuJPosvvgDee4/phd/9zvgYs/rb3Ay8/35c+Pf1sbg6y5cnxuQBclv4u35Vu+++O8ICs4yioiIS/lmE3iWKu54aCUajxtXcnD0Wfz8wGgT9FP6yo1P7keZKv/WDXP1Tjx+TRjdiTwS3e/z1yLD4c2HD9/iL1CmjOCdmFn99ec1c/e3wKx2qqgLnnRcXnWb09yuOXf2NcCL8i4qcBdLU7/Hnwl+mq39ra1z48z5IVttrb2di3U+Lv9NFChkWfyNSHdyP9/tW7sPpxO89/hy3fbqI8Jclsru6WPtykuGJv1stMhdK7fLGG40Jflv8W1vdzcW1OInqLyN7Dq9HVrGjCgrYu9y6NZ66V49Ze+/rS+xz+DGrV8eFv6KwxbAlS0j4J3HbbbfhgQcesD2O0vllF0Yro2aBpYxW0RsaWA5cp4hE9Y9EnFl40oGd8NcurMgU/iKTApEJo2zhPzDAXF+1eHH1Fz3G7Wq3W28EDt+3mkn4NWn0K4q8yHlF3pFsi7+Zq7/+2Rq53ItkS7ES/nZ1nwt/2e+jvR145BFg82br45x62Ii4+otY/M3SKZpdUzteFRayybGsxatgkJVZb/GXRVsbCz7l1x7/gYHcsPib7fEXCe7X3u4uRpHf+NWHV1Swfo2jXcgJBMwDPTt19den0PRCby9biHUa2NPoXmQt8ojs8U+1q79b71stoq7+si3+33wDjBplvFL32mssVoaVt6tZe+/tNRb+a9YkWvz/9jf2d6YbGt3iuuoddthhCAQCOPnkk7H//vtj5513RkVFRVKAP0rnl13oG4yimFv8jVbV6uuBmTOdXzddFn878e2UbduAO+8EDjgA+Pa32Wda4a+9lt218/PFhX8sZj+BFRFAsi24Rtf0kmLNicXfzURDhsU/0wYLvyaNfrn6i+xnFxX+siz+XPiPHJn4PRc6nZ3A668Dp59uvHBh1I6NXP1V1V39CYXsg6O6gVsDRSz+soV/czP7zKzuurX48+cu29U/FGJeIVrhL9Pm0dbGUqPKEv76bX2rVgFTpzo7h0yLv1P3cTPcuPrzfr+lhaXd05Nu938jISOjTPrzai3+I0ey+YyRIUf/ruyQGX+kt5e1Ma+u/jIR2eOf6uB+MoS/qKu/rL5OVVk/9/vfK5gxox9A8iQuEGAaw2qOYNbeucV/0SLgkEPYMaNHM4s/z2yhKPF/O6lj2YRr4R+LxfDSSy/hlVdewQsvvCCzTEQGwS1Qohb/+np3kVvDYdbgUyn8+cRH5srru+8C3/0u8MADxsLfCU4s/n19clzpqqrcRR12gp/B/fhilJm1jddZs4EsF139/dzj74fFXyQlqEhQpkiELSZ6ad980bO0FNi4Edhll8Tvi4qY1XTRIuCMM5jwF10Qke3q397uj/AfPZqd2wqZUf1DIXYfPHKzWVstKkq0Vopcc3AwUfjLtPiHQqw8XPjzgFcyg/vJtPjr+fRT54v2em/AUMi98NeOC+kK7ud2q6LfGBlZvI5VRmiFf0mJ2MKayLtyIvztxqtsFP7psviPGOHtHCKB+/Lz5QT34+/9nXeAX/1KwUsvmXd0J59srQXsXP2vugr4+GN2zKhRia7+hYWsD/nd71ifmIu4rnp33HEHfvOb3yASiWCPPfZAaWkppfPLQUIhcxdSmcKfu0inUvhzkSa7Az7pJBYVn2M2QMtw9eeDtEieb1GqquScxww/g/vxvXZmrsfc5dpMpOSi8AeMt59s3Ji8DcMJfkaRt6v3IpPzSIQJMS9l1O7xX70aOPPMxO8LC9nkuL6eHccXndyISe6hYNQfidR72Xv8v/mGpfTaZRcR4e/M4g9YC39OT4+5Syd/9qIEAmyrGF8sle3qr7f4iyxgOaG93V/hv3QpcP75zn6j9wbkCzYi6MdzrYu+V4u/vh0MDABff81SyhnB35XWSsrLoCjp3/dvt4XQC9wNnrts8/dpFJdEOruEDwAAdO5JREFUWx6rsulxMlaInCvThL9dcL9stfin0tUfSEzhN3Wq+QPNz7dOTW3l6t/dDaxcyb7nwv+jj+LCv7iY9eNTpwIffujhZjIY15Jn/vz5OPHEE/H444+jyMLUSOn8spuiIrYKLir83a6Y80HBTvi3tjo/txl8YJMVdAZgHQp3E+IMDho/PxHhbwf/vYw8w37CBTf3svBL+PMB2Cy4n90EIBeFv9Fze/994MADvVkj05k+TlT4t7Wxgd0tWlf/LVuSFzW5u3ldHbDrrmyhQdT6bebq72Yhki/Qynwf48YBl10GTJxoL/zd7PE3Qi/8u7rMvTu4t4WTa3Z1xYV/URFbsJEp/Ds62EIFT+cnU/h3dbEFKJnCX9v+v/nGOoWr0YKtfsHZSdwFI+Evy+KvH9NPPJFl/TjsMOPfaPf4876Fb9sKhTJX+MswWpSWxu9bu2hpJfydbsuQ7ervdI9/Kiz+dsH9Um3x37ABmDXL2zlEIvbLCu7H21hLC3DDDaqnVItWFv/mZjZmNzezY3iAwDFj2N9c+DtdXMomXK/RbN26FfPmzbMU/QCl88t2uPAXdfUH3A2S+fnsj9W+7IICuRZ/q4HNLVOmxC0E/Nn4afHn+OV2LQvtu3MbcV/kWfCFBTNXfxHh72XlOluEvwxBIlv424lLLSIujJEIO6eXdsHvkVsXzIQ/j21SV+fN1Z///c03id+JeP744eq/eTNbALB7N319zqP6i1j8u7vNLf5O9/hz4c/PJzuqPy93QUGixV+WaOzri7uhykJbNqsAbCNHGm+r0C84FxeLvxO/LP5Gi1AHHWQdLFI7RnPhz8esnh55+d7dYvQ8ZHmUaBdr9MJfZCwTeVdO5icirv5FRd6j+suM22A1r+juNvbI9Fv4L13qLt6Wlrw8Vv+txjPZFv+WFmD2bG8vx8riz+PW1NezOsHfw4wZ7G8u/J3WsWzC9auaNm0aQgItmdL5ZTeFhawRmAl/mQFnIpH0uPr7QUVFPDiVmZi0E/5nn81Wtu34v/9Lf/AhO7QZGbxYKkQs/nau/lbC3238AY7dXr90YFTHZEw6ZAr/7duBCy5g/xapyyKRt7nF34tFl0/YAgHg1luBadMSv+eT5u3bgenT2WTCras/F6Q/+xnwve85a9OyLf68Dm/YwCwhflj8zYS/9jxWFn+3rv78GRUWyg/uFwiwtuVHcD8/hL8es/GotjYx7Zu2THrh39Ehdi39eK4dF+z25FthtOirD2Sohwv/Bx4A9t47Xr7ubus6mCqM5lqyXP21njN+ufo72d7nh6u/Pqq/7LSNZuf66CPgkkuMFz6cuPq7md+1tnrf45+fz9qo1XxBVnA/rcXf6xYFq+B+3OuLC/9AAHj88fiip1b4Z9pcThauhf//+3//D/fee6/tcZTOL7spKmKRXY0GPn3j8pq+KNXCX9SVzQ3l5fFtCfoBWvTcRxwhNim96CImGjI51aG2fG4tFaKu/lz4G9VF0QmgW9LtEmqGHxZ/mXEluLu8KCIZG2QIf+3ixi9+kexCzK3OAwPA2LFx4e/Gy4B7FRxzDDB7NhPdoshM55efHxf6Gzaw+xLZ4y/D4q9fDLVz9Xdq8ddaqAsLvdcPLaEQq3OKEhf+MoP7yRT+ToWPPt+7tkzaPsCL8PfT4s/PaQbfW3zppczDBYhb/LVeIunCyHXZreecHu0Cmqirv75sqTQ8DAyw9+GkHegX/Lu7U7OYs2QJCxBntBVT9N25nVPImIsEg6wNWM0XZAX3A+IWf6/C38rVH2DbcbXC/6yz4scUF7OF/IIC94uPmY7rbqO8vBx5eXmYOXMmfvCDH1A6vxylqAhobGT7PPXohX9jIxCNur+WnfCXnSrND1d/jjYPtdkALTOVYGFh5gt//u7cimsnwt/K1d9qwuBHpOR0Y+Ym6hWZFv+uLmNhYcU551h/L8vV3+r3WvFZUwO89x4LCuRGTGqDFU2bxuKF8OCLqQzux7cNlJezRV8x4e/8nkXEgp2rv5M9/jzSvt/Cn19rYEDOZJgjU/jzxSlRj7eaGuOFOX37KCpyJvy170+m8JchiLnF324LYirwM7iflau/6PwolcJfVZ171hkJf9mLOUbPYNUqNj7IsPinw6gQCrFnZeVhJ8vVn99fa2s80J5brFz9AWD33ROFvxZu8c/krbNecd09HnLIIVAUBaqq4tprr5VZJiKDKCwE1qxhgav06IW/24j+HDvhL1uoW7n6e+1ktcLfbH+bbOHvZBKcavQWf7d7/P129R8uwl+GC1u6hf8jj1h/z4W/V4u/1QRR2+64VdSrxR9gE622NvHfynT15xb/2lrWh1VV2ZfFaVR/0X7PyuKv3T4kes3e3nh9KCjwT/j7seVHpvDnWypEF9L5opYefV9u51GlRR8PQGZUfzNvLycLVHyxOhRKvwgwai+ygvu5cfXXly3VWw2dti+9EHS7HcspbW3MGGa0AO2nxV/W+wgG44tfZsgK7gewcvNMLl6CMdpZ/I88Evj8cxL+rth///1t9/lTOr/shrv6G01+s134p8rinyrhv22bnHP5gX6Pv18Wfy7svQT3y0Xhr0eW8Jc1OHZ3s0mSzMUrWa7+Vm6H3C0QYEJ582bzSSVPH2RmGdEK/5KSeHsWmeDLDO4XDLLnNmUKey8lJWJ7/GW4+uuxcsnlk3nRSS63+PN3w9P5yQzux4V/KBRvYzKD+4m4OP/jH8Df/gb885/mxzhdnDJz9Tfj7ruBc8+1Pka/LcCp8N+yhV3jtdcSPzdb9OULDaJuxHzMUpTMFAEyg/uZufq/+CJw//3Am2+a/16kfsveTz9nDgs46RY/hL/RPXZ0sBgpDQ3JdWivvcTfn1Mhb5UG1Qlc+FuVU6bF/8YbgdNOi6e2dYvZHn9u6DvqKJax5pxzku+tuDjzs2R5xdOQ98ILLyBq49tN6fyyG+7qL7LH32/h7yRHsAh+C/+mJvZvs73QZPF3hmhUf6s9/n5H9c9U/LL4y3KX7Opi72brVjnnA+S4+ttNEMvK4rE8uJAxi+q/005sz/zEicYTOW38gJISYP169m+RSUgwyIKJWuU2FiUSYYuWu+0GvPAC+8yun+zrc27xF5nM2u2v5sJfVHxon2WqLP6yrG+qyq5hJ/xff52JYiv4YjR/bnZlNBP+Zs/92WdZ/bHCq/D//HN2r3rM+n5+PVHhzy3++fmpsQ47xQ9Xf+05QyHm7blokfXv02Hx//73nf9GW0ZZ20Hs6OoCdtmFCX+9u/xNN4mdw83zlbFPHoi7+qciuB+np4fNl70Kf7PgsW++ybzYTjmFLa4bWfyB9KUqTgWup7jnn38+CgWiY1A6v+yGW5JFhL9RnmsnRCLWe+lS6ervlfLyeFT/VKTa23335IjjmYSMPf6Ad1d//r0ZXqP6A5kX4M9o9TvT9vh3d7OgWvX18p6fDFd/O+E/YkRimjCrxYbdd2diBTCeeGonIMXFcSu7SBDFUIgtNIpkAbEjEmF9l5NFHadR/QHz4H6cUIgtqtiVgwdms8PM4i9T+POyBoP+LCrb9V+A2AK8dnFKVe33PGvroxajd9jfz+YCn31m3V97Ff5ffpkcbJNf30r4i8It/qlyC3eKLFd/fXYM3v+Gw6x92E3zZQv/VIyfqXynI0YYW/xFcfM8mpvlCH9RV39A3h7/ri7v9drK1Z+/B26c05ebj6G5bPF3/aoGBgZw6aWX4vLLL7c8jtL5ZTdOXP2XLWMprdySKa7+TtxHzYhGWWcPJAt/nlpGpsX/5z8H/vIXOefyA63F3+2EhU8wrN6NXXA/u72BuejqbxT4MRP3+E+c6HyfvxWRiHeXPTtBq93SAzBLQn298W9qapj3FGDval1SEhcp6bD464W/fW5txVFdMDuf9vNIhD0Dq76CT/BELf5awcv7JD8s/n55k4kIf5Fnwesf94Dq6LCuO07GqdJS5oq9Zo31YoK2jgPOhX9TE2tveqxc/Z0If75YnYqFezfIcvU3C5IZCrG+bcQI61gQIu/KyXzKL+8BbR1OlcUfYGOEF+EPpM/iHwzaC3FeB70Kf36P3IPOC1bB/fg4NWKEsfDnTuyZuNgnC9ev6rHHHsMrr7yCUq/hF4mMpqiINQ4Ri39rq1h+bTNKSjJD+MsYFLR5j/UTB77/M12RWtOBzHR+Vs/NzuKv3XtrhAzhn2q3RzuMJryiwl9VgQcfNP5OZjq/7m5/hD/g3eJv1RdoPXv4/xsbja+pj/thVS7tvnqR5+y38AeAhQvN9/qLWt05ImKB7/O0ao9eXP3588+W4H5A3K3WK3xM4uW0E/5mGD33vfYCjj6aRTS3Eh8FBd6i+nd0sEUG/dat4WTxl+3qr4UL/wkTrLdgpdrVX8a1/HinZuUqL2fPL1UW/9//nnnbyHL1F0nnB3ivi9zrRLuQ7hYvFn++mJiLWz45rm8tEAjgqaeewi233CKzPEQGoO3AuCud0cq9tnF1dhq73Tnhr3+1nmSnytVfhqCxcvXn9zGchL82Z7PX4H5WIsNuj79dHcpFi7+V8LebRLW2stzWRvhh8d+8Wd6AK0v4W/2+oIA9I+1kwsy6oxX+Zufl70nv6m83aeQLWl77YCC+x1+/7erZZ1mMAhmIiIVwOB77wQrRflTv6s/JluB+gFicG5Hr8YUnXk4R4W+U/s/oHV5+OXDmmUzsWIkPfTndCP+KiuSFELs9/kYYXYtb/N1m6fAbv1z9OXyrjd2CbKpd/WW0Jzdbk+wwK1dpqfco8U6e709/ymKzpMrVX5bFn4+NMoS/VXA/PmcxE/65Nv8zwvWrqq6uxkSj5O5ETsEt/Xau/l98wfawesFu0moXmM0pZiJQhqDRDgIk/OWm87OKjC7i6m8n/GWu9HZ2AmvXAsuXyzunU6yEv52IsJrwyd7jP2EC8M038iZkWhHmFjvhryiJ+6NFLf5m5+V9oPadibr6A3ImLVz4a/t8VWULEU4splaYiQX9Hn+7iNJ88VmkzerT+XFkWvx5e9D2MzJFkXYB1QyR63Exy8spIvxrasSCb4ZC7H2I7DPWB1zj71pU+JeVGccvkeHqzy3+dt456SIVrv6xGOuXUyn8U+E9YOfJJROv6eGczhErKoCVK1Pn6i9rjz9vm1oPOrdYBffTLtJv357bln0zXN/yUUcdhf/973+2x23duhV5w2EJJYfQdjR8ImqUvEHbuJYuBWbO9LtkcvFT+GsxE/7A8BT+Xiz+gPVEX5vOz42rv1OXZbNy8sno/fcDu+4K/OQn3s7pBaMJ78AAeydehP/XXwOjR3svH8DEzNixwOrVciYsQHxC4qfFH2CR4fmON1Hh39trHchUmw9dpAwyLZJGrv6RCIv1Ikv4A/YTfBHhz93FRS3+RtZbWaKuqAi45574Of1w9bcT/jzegd3zcOPqr92+Bthbwru7nY2j2hRkImKyp4cZJmS4+hs9L63FPxOFfypc/QHvFn9ZCxSAvEUBPyz+enhZZeSFF73vjg5g0iS2gJ5trv6nnQbce68cr14RV/+iIva8jOZ769Z5L0Mm43qKe/vtt+P+++/HK6+8YnusmmmbXglhuMXfaCDVWvyzUfibufrLEv55eWyAsbL4DxdkWPyBuMXfbo+/lfDv62Pn4BHWZaOtVxs2sMm6zL3rTjGz+BcV2We1MCt3RwezKlRXyyljfz+rI5s2ecsMYoSXCZ7IBDEYjE+yrFz9te77PT3Wwl+LiEuvzEmskfAvKQHq6uRa/O0+FxH+/Jk6ySXul8VfUZh1FLBfYHSLnfDnYtgON67++pR+dqkWx4xhW3fs4OOgtgxmYnLNmkS39Lw8/y3+meLqv20b8Omn8f/LClBn5eoPMOH/4YfW57CayzidT1m1ZVlxZfyw+OufAV/clWHxF50r/u9/wB57sH9nm6t/OMzig8hAJLgfH1+Mys378VzFddW/4YYbMGrUKBx77LGYMGECpk6diqqqKii6Vtvd3Z30GZE9FBcD//2v8Xdc2AJsgB8zJnXlkoHfFn8e2Z9c/eVZ/EX3+Ju5Z3LX1jVr2ADZ0uItIKURXPjzPOE9PZkp/IuL7YV/U5PxoP/ii8CBB8orI1+o2bJF3mICx09Xf4BNsPgkq7KSeUIYiSjtBM6J8BeZ4M+cCTzxhNj57DDa4++H8Bex+Pf0WE8onQh/fh59fbBznXeDX9ZEO+HPxbiRBVeLW1f/LVvi/7f7zYsv2p+zrIz1kWVlieczm7jvsQfzqvjpT+PH6S3+Mvf4c1d/GWkyvfLee8AZZ7C/y8vlWfzNXP15kLNZs4BzzzWfr4h4l8jcEibab1rhh8Wfexvyd8LrM6/Tfrv6b90K3HEH8Ic/APvtB+y0k7vraQmFxF39ZdRFWYv+Ihb/cNh+fMlVXAv/Rx99FIqiQFVVrFu3DussfCNI+GcvigJ8+9vG3+ndGbPtNfst/LmFRC9Ch6Pw16aU8xrVX2SPv6oaX4NbuFpa2ID8+efAQQc5L4sVWot/MMgGF0WR6ybtBO7SpkXU4q91v9XS0gIceqi0Ig4JbK2Luyy8nE/EMqQV/jU1bKJUW2v9G9nCPxplAdVkYGTxLy1lE0uzqP5OERX+ohZ/0T3+QPKEf9s2+986RXsNmX28iPAvLGR7V63gE2Ctxd9oO5+WmhpgyZL4/+1Shk2ZYn0+IL59gAv/UaPY52YT98rKxEVUI4u/LFd/PmZlkqv/qaeyiO1z5sgT/kZBG4F4H1ZQAOy9N6tbRnGY7Nqy0/mU1bm08VS84IfFn4/73OOmvV2O8AfELP6ffcbqx267sT8yCAbtPc5k7fEH5Ap/I0Qt/rmOp6p/3333oczGXNbS0oIrrrjCy2WIDCUYtM8pnMn47erPLf56C/VwFP5aK5TbaMROhL8Z/Nm3tLBV8dWr/RX+fGFsxgyxwFh+YOR2PDAgZvE3E6iy8gRz+OT6738Hpk+Xd95f/9qbB4FTiz+/ltU1VdW58E9lmBwzV3/AX4u/fguPqPBva3Nm8de+z8ceA2bPFi+3KNpJvqwtXapqL/y7u525+vPFexHPJ72rv4w+gJ9zyhQxV399Gcws/jJc/fmYlSmu/gAT4CtWMOEvy9XfatvNHXewf/P4JG6Fv6znJ0v4+2Hx522Ttz+9xd+tZ6HoHHHFCrljJyAWNJa/WxkCuqwMuOkm7+cxQ2vxF/Eo43U71+bpnrqN0047DVGbZeKtW7fi8ssv93IZIkPhOYVlB8NLFX5b/EeMME5NMhyD+2kDCHl19fci/Llra0sLMG6cPAumFiPh/53vpNfdX4+oqz+3+OsHP7+E/4knyjsnAFx1lbffOxX+oRDbH2iWoaSigj07UeGvqvLSdokSiTAx7afwN0L/rP3a468VIT/8obuy2uHXQo2oqz8XxGbl0Lv6b91qb22LRhMXL2UKf0BM+FdVscV0jtkef6cWfyP4mJVJUf1ra4GPP2b/TkXq2euvZ3/z9MRGwVxlW/yt2rKZB5pT/LT4c3h95v3N+PHuzy2yeFhXBxx+uPtrGMHrfapc/RUF+OUvjb19ZKCdO4q4+nONkykLf7JwvUbz9ttvo7Ky0va4qqoqrF+/3u1liDQh0tFwa8GmTfKie6cSM+FvF7RIFG0Ub6PrUnA/Z2ij+lsF97Ny7ebW7+ZmFpPCDyETiSQK/+OPZ653mSj87SLo9vQwN2/9cSKpupyWJ1Mm11pELEP77QfsvHP8/5dean4sFzoiwp/XI1mWPVF436ct3/TpzMr4298mH2/VHs0wEgv6+xQV/vffD4wcKXZNIDX1TLYnHH9WIhb/ggJzbzYOt3zNmAFccAGwapW9Z4zec0hGH2Al/I3Iy2Nl4AuRRhZ/s5Ssbiz+meTqf8QRic8rlQuCZnMZIPWu/pm6x58LSYAt8Grr8/HHuzfyiAb3q6+XHxiXtyORepZtLvMirv5+BWlNN65f1QEHHCCUpi8QCGC8l6UuIuWI7rPlwv/zz4Hdd/e/XLIxmxw1NMgJMCYi/IeLxV8bD8KLpcIuuJ824KQRWld/v4S/vl7961/JLqrpxonFv6IiOfiTXxb/TEOkXHPnJgr/n//c/Fgnwp9bs1Pt6s/fq3bxc84cYNEiZlHS1xk2sXe2imk0mTWz+NsF91u8GLj9dvtrGrn6+4Vs4c+tTnbCnz9DEeEfDAInn8zSaL3/vtgWAS1+WvzNUBRW7tZWVl4jiz8/To/ZQr8Z2kCxmWDxe/31+PZBILX9QiqFvxWZvMdfu+Df3Bzf4w+wOYBbROeITU3My9QPROpZNmRt1z5LEYu/X2lZ043nNZqenh48/PDDmDt3Lvbee2/svffemDt3Lv70pz+hx49wuYTvcPcWO7TCX1YwETtkWsnNJgKyVk75YKkv83AU/lq8WPxlufq3tjIvFb+FP3+/1dWZJfz7+sSF/4gRcW8NjizLC28b2Sz8neBE+JeUsPqZald/I+Gv/a61NfGznh7nE3velm+4IZ6izEj42+WQHjWKRa8WEa3ZbPHn4pP3X2bwZyiyQMDF7MEHxyO426Edy37723gwPrdo+8WWFuZdZHQtLZMnszpTXGxs8bfCzfwhk/ombVwl2a7+Vs8mlcLfak6UyXv8+bjPF6K++sp+IUsUkXprZRDxSq5Y/LXPUWRh2a6/zVY8varPPvsM06dPx0UXXYQXXngBS5YswZIlS/DCCy/gwgsvxIwZM/C5X8myCd8wS++ihy8QbNrE9kunAplCOVXC3+y6w03483tN5x5/7rrV08Pcg/0W/nygKS31J56AW9ra2GRfRPgbufority664cFRgayy1VTw/Ziigp/bvFP5bPhQaiMrJxGfRoT/u4s/nfeCfCdgG72+B9wQPz3dvA+Q4ZwsMMv4W/X7vgzLC1lbdzufAALbrhmjVg5tAsKU6d6X/AvLo7nkG9tTRT+ZvdZXQ1s2MB+y1Oo+YWiZO4eX9kLglbns6pPqXT1z+Q9/rxt8Pr41VdyvOJEx1k/55Iizyrb5rIiwf3I1V/H1q1b8Z3vfAcbNmzAjBkzcN555+H666/H9ddfj/POOw8zZszA+vXr8Z3vfAdb0xXOmnCF6F44vvrc2ChuMcgkjNwhb7kFePVV+3RcIpSXAy+8kHwNnj5nuAl/PqDLSOdntcdfxNW/t5elhkqFqz/gfH+pbPQT5JYWNoHWlnPdOuCaa9i/r7+e5aPv6WEC1K/Bj7/HTLKq6ZHZRrPB1Z+Xy+i+ZQl/LbxeuhH+TuD3I8NTxY7ycmDaNHnn0wr19etZHAkjgcQtmVYWWn4+N+2Ne3zI8rzj7rZOxHV5OTM2cIu/20Bga9eyLQ5WqGpmBfcD4tvdZPcLVvdpt3Cdba7+flr8eX+2YYO87XDpjgclIvzTXUY9duXhhsvh6Orves3rrrvuwuDgIN544w0cdthhhscsWLAAp59+On71q1/h3nvvdV1IIrU4Ef79/amJLusHRhb/999ne0a1lge3FBYCJ5wAvPNO4ud+5CrPJryk8wPkuPr39rJ3bGfxdoM2yA8vc7qFP/fi0UZnr6hIvP8vvmDp7371K+Cuu4A99mDfl5T47+6Waqt2uuDCv7xc3NU/k56NmfCPRNxZ/BUlfr5cEv4nnsj6fllohf/ixcCPfsSem35PL7dk2gl/t1Zsfl6R+isCfydNTWIBGnkZPvwQmDgxUWiJwPvh4mJg+XLm6bD//ta/kWVllgXPFiRz3hWJMGFvJfy5xV8vqOwWRt24+psZRbq7zTOmOMGvqP5ai78s4S8a3M9P7OpZqhenZWJn8SdXfw0vvfQS7r33XlPRDwCHH3447rnnHrz44otuLzPEq6++iiOOOAIVFRUoKirCXnvthYceeggxh8u9vb29ePLJJzF37lyMHTsWoVAIJSUlmDVrFm6++Wa0WI2WwwSnwj9b0Tfqjg7WUcsQ/ZwZM5ItEjwA3XCz+HO8DBJ2wf248DcbKLnrlp8pKI1c/XlO6HTBrcda9J4JvOvjVv76elb+VLm7ZWJbkF0mnhZLZF88d/VP9R5/K3j5tXjZ468VqEZR/e0sMm5IhfBXFPnWWC7Ui4vZ1jqjmCF88UTE4u9F+IsE4nOCk0CB5eXAN98wAWgU3M9KJNXWxp9bb69Ynywry48s+HYhmf1CYSHz5DCrEyUlceGvX3i3E6ZO65rV+TLZ4s+D+w0OsvuVKfzTjV0fnImiX+S5hcPD0+Lvekj95ptvcMghh9ged8ghh+Cbb75xexkAwN13342jjz4akUgEb7zxBj799FMcccQRuOSSS/C9730PAw421O222274wQ9+gPb2dsyfPx8rV67Eq6++imnTpuGWW27BbrvthjWiG95yFCfCv68vtR2TosjL8al3fxbJZeyUSy4BPvoo8TNu8R+uwt9tEBrRPf526fy4xT8Vwp+T7vdcWQls3574WVFRYtC+5mYWnX758nj6QR5F28/BL93WDCtkl43Xg64ue+GkdfVPtfDX5krXUlqaPDZ42eOvFahGFn9A/qTSr3bvJ3rxZJYlhD9DbhW2Op9bV3/Zwl9RnKUGLC9nbvojRzoP7qd9blz427Xx7m7nGQ/8ZPJkln5RppW1sJC9VxGLfyyWeF074d/V5cxKb3W+TN7jr7X4V1aya+SKq386jRYy0c/DQiES/o4oKChAU1OT7XFNTU0o8NBS3377bVx33XWYPn06nn/+ecyaNQuTJ0/G3XffjQsuuAAvvvgi7r77buHzNTQ0YN9998XLL7+MI444AhMnTsQBBxyAJ554AnPnzsWmTZtwzjnnuC5vLlBcLB7cb+tW5jKcKvx0k/crDyp3r+YMV4u/1wipToL7mT1XXgY/UzQZRfVPN3qhoCjJC3wtLSxg19KlwMyZwHvvxS3+frm7ZYIbYzoQEU5aV/9UW1TMYrYYLQpnm/DPROuUHUbCv64u+TitxX/xYhZjxsju4sXVv7lZrvBXVWOLv1m/UF4OrF7NnoFZOj8z9MK/u9t6PAmHWdlS4SUiysyZLKuBTFd/O+HPvY8A5xZ/p3XFKm5Dtlj8KyvZZzLmGJkwh8ikwMQysRP+5OqvY+bMmbj//vttj7v33nux5557ur0Mbr75ZgDAJZdcgqCupV555ZUAgF/96lfo1uebsuDss89GvsFy309+8hMAwOLFi7F582aXJc5+RDvpYJBNKmSLZStEUw26Yc0aYMIEf86tZbha/I1SgTlBJLgfX1Qxg7sPm3kdyBChdjm004FWKPDtElbCf/p0NpHZuNHfVW+r/Zy5Sn4+E08iwj/TXP3NhL/TPf5Ach1MlfDPRvTCf+JEFjVcDxc0e+wBfPvbzDL+61/bn0+UceNY0M90uvrzFII1NcYWf6u+xMjib9W++MJUJvVPO+3E+mWZnkBFRdau/vo0gn4KfztXfxmLMH5Z/Lnw32MPtugmi3Quji9fDljs6M5Y9M/MyMuJXP0dcsEFF+Dxxx/Hsccei9deew3Nmo1/TU1NeOWVV3DUUUfhqaeewo9//GNX12hsbMSiRYsAwDCWwJQpUzBmzBi0tbXhlVdeETrn119/bVqeMWPGDP1bxJshV3Ei/DdtSq3w1w5Aslm6FPCwRiWMVpxm0oTCb+z2ndrBJwQie/zNsFvBlfE+MlX48wlvUxPz0jES/tOmsXZQWwvMmcNSu6VC+A8nolEWmd3O/TWdrv5mGMWK6O52t8e/r4+dj7cVEv7m6IX6brsBRpmSuaApLgbOOQf46U+NtwS4dfXffXfWP6RC+JtZfrnF16vFv6+PCX8rjxqvY5YflJSwFIiptPhrcerq71X4c5teT09mW/y1rv7FxcD3vifnvOkeI6dNyyyPF7d0dibXQ3L1d8jpp5+O008/HS+//DKOOeYYjBw5EsFgEMFgEFVVVTj22GPx+uuv4/TTT8epp57q6hoff/wxYrEYgsEgdt55Z8Njpk6dCgD4SL+R2oSysjJDaz8A1O0wiUUiEUyaNMlFiXOD6mqx44JB5nI3fry/5dHip8V/3Tq2x9lvuMXfynKdi/BJlNtBjD8rq4maXf3grv68DDJjRnC4y5+edA7e0Wh83zbf0qIXce3twC67sIl9TU38D7n6y6WmBtiyxX7Snk5XfzNkuvrzjBG8regn4yT84+iFf1GRcR+jXzwpLEyM46E9zo3Fv6yMvf/2drnCv709eUtcQYFx2QHg8cdZWbzu8e/uthbQdrES0gFPByzTE6ioiHkhiQr/VLr6X3opy+IwYgTw0kvuhb+2jH5Y/LWu/jL7rOE0R5SJ/rkZ9Vl2Fv9cdfX3VPWfeOIJ7LHHHvj1r3+N7du3Y1DTA1dWVuKaa67BVVdd5fr8a9euBQBUVVUhYPJ2anckXOfHeuHll18GAJx33nm2cQl6e3vRqxl523ZEPonFYo4zDaSSWCwGVVUty8jyDwds7yMQAFasCGD33WPSxZMZeXkKBgaAWEyOWlBVBYOD7FyxmAJA9f1eFIVNcvv7/RGemUpZGbM2A4qr9xeLsXfU26siGDQ+RyAAdHUpCAaN60h+PtDbq+zYMqCisFBBR4c6NCCoavy8Im3FiGAQ6Olh59GeD4hfN9WUlgItLawsW7awxb3CQqC9PV6+vj4Fo0eraG8PIBqNoakJqK5WkJenorc3sZ4m3pcXWPuTdz55qKqyo33KLVc0CtTV2d9vURHQ1qagv1/1lK9cJvo6AwDd3SrCYWfjnqqyNsKzXcRirI5pLbhsYh4AIHN8sR/XZCOjbvf0YEefpv00+bx9fclWcKPr9/YqyM93O9YpaGtTUVgoq04q6OxUEQ4nnq+ggPXNfCrGvmP3cuaZcc8vNh+I/87qeY8YATQ2su97eoDOTt6+jH9TVhbvN2XgdkzRo6qs3LLmD4WFwObNCiIR8zrBnyubt8SfCRvTzJ9Re7uCwkIndY2NCfz4JUsUfPKJip6ewI6+xl29VRQFAwOsL+3vZ+OazK4gGGQLSSwTibw6w+eodmXNxDHULTLaif55tLUBRUWJn4VC1nP+vDwkzX0yGdHn5Un4K4qCa665BldccQU++eQTfP311wCA8ePHY9asWaaWdVG4mLYS4YU7wq22etk8DGDr1q2YP38+xowZg1tvvdX2+DvvvBO33HJL0ueNjY3o4Um8M5BYLIbW1laoqmq6mAIAZ59dioaGNstzdXQEAVSisLDBNAq0bAYGStHdHURDw3b7gwXo6yvHbrvl4fzzu9DXF0ZDQ4uU81rR1hZES0sIkcgg8vOBhobMrS8yCYcjWLUK6OuLuHrOLS356OiIoK6uB/39ETQ0JKeeaGvLx/btBYjFAmhoSO4TenqAjo4y9PUpaGhoQX5+KTZs6EA0yjrMvr7yobKJthU9HR15aG4uQENDR8L5+vvLEYshJXVMT28vsHUrK8tXX0UQCgEdHT1obo6Xr6+vHMFgC444ohz5+S0YPTqA2bPzsW1bANu2JdZT7X15oa+vHFu3tkg7n0z6+soByH9fpaVhxGIj0NCw1eb6wLZt5Wht7UN7ez8aGtLvc9jXB2zfnviuGhsjqKzsQENDj3A7aWrKR2trIfLygL6+ABoaWrBtWwg9PXloaGBm3ra2AIAompoa0dcna0Jbg4ZUDVY7kFG3GxvD6OkJDD0bs/O2tBSho6Mvoa709iYf195ehpaWNgwMOH+u/f3l2Ly5D+PGDaChwbs5LBAow5YtMXR1daOhYUDzeQk2buyCqjKDUl8fMDiYeC9dXUXYti3xfu2ed08P+76pqRitrSHU1TVjYKDEcL4TCkV2nM+6rYridkzR09dXjtbWfrS19UnpF2KxMDZtCmPcuEE0NHSaXpM9NwX9/fHn1dSkoKfH+PkBwPbtZejqahWeI/b1laGhoQ2FhWyRoaOjEkuW9AEoQn090NHRCMBNTJFybN7cgnAYaGsrQWtrFxoa5EWK7uzMR1NTBA0N3ejtLURDg5yIeL29ZWhstG+rmTiGukVGO9E/j2++CQII6ep3BTo6ukzn4D09Bdi2LYaGhgzbu2lCu2AURinOLvn5+dhvv/2w3377yThdyonFYjj//PPR29uLl156CRUCYeqvv/56XHHFFUP/b2trw9ixY1FVVYVSmYngJROLxaAoiqUXBQDMnw8A1ht7olH2d3V1VF4BbSgpUXZcW841QyEFxcXA55+XoqBA3nmtqKpi7mpFRWylPRrN3PoikwMPBObPVxAKuXvObA+iguLiQowYAUSjyTmWmprYSm9pKRCNJm88HhxkC5bhMCtDVZWCSCQyVJeDQWWobKJtRU97O/NMiUYLEQrFz1daqqCpKTV1zJh4WcaOBWpqShPuNxRSMGZMFK++CgBRjBvHghQ9/TSzqmnrqfa+vBCJKKiqiko7n0yYNUD++zroIAifNxBQEImEUFUV72/TjaIkvqtgUEVl5SCi0TLhdrJ1KzsPs6iyZ1FYiB3tumTHedmxNTVVUtOppbqeyajbBQUsUjh/NuwzBRUV0QSX5XAYqKoqSqgrBQUKKiujCe7HgYCC0aPDrlIbjhmjYPv2MGbPVqXUyREjFPT0AKNGFSScr7ZWQX5+/DOWAjPxWZaVAaWlifdr97x5n5efr2BwEKioqEJRkYJoNHm+c+CB7G9ZdcbtmKInFFJQUBBKetduGTUK6OhQUFWlIho1Dj4SibB6pChAYWH8eeXnA+Gw8fMDgMFBBePHh4Vd1gsKFIwcGUZxMfDFF8DBByvo62OVvKdHwdixVa7255eUKCgvj6KkhNWBmpoCqX3qqFFs3C8rK0RJiYJoVEIwArDnPnJkeChTgBmZOIa6RUY70T+PYJB5OmrrN6sTpaZz8MpK7JivuipCyokIBmMQFv6//OUvcdVVVw1Z2FMBF9BWEfu7duSdKysrc32diy++GAsWLMC///1vzJ49W+g34XAYYYNRMxAIeOrQU4GiKFLKyW8/lfcbCjEREgjI2fikKGzf3+efA/vuK++8VgSD8aj+waC7nPbZyNSpLHOCorh7zuEwe24DAwoiEePnFgqxCWJpqfE1uMs0L0NJCdsaEAjEo8trf+emrRQU8DgCCvLz4+crLGR7u1NRx4zg99bRweItBAKJ92v2XniwQv2+Thn3wcqgSDufTPhEVXa5xo8H9t5brN9UFDZxzqR+Qv+uenpiKChwNvYxS792DGEiTLvnks9hgsGAtHufNi214xXgra385z/AvfcCF1yApD6vvJyJNa2dYmAged8qP27EiPhn/f1MrLl5FLW1TJCVlrr7vZ7CQhalvrAw8XwjRrCtLvyzWIyPl/FnyRcznPRN7FgFfX3MA0zfT2uZMoXPC+TVGRnzL9n9Qmkp0NjIXKHNzldaysZKVWXPnT+v+DswfuaKwgSxKPz9BALAsmXAwQcDzz0Xz3ISDru74XCYzR349pBQSE795ZiN+14JBNi57MqaiWOoF7y2E/3zYAuHie0lFALy882fbSTC3mmmjL12iD4r4du55ZZb0KGP6uMzPKBfY2Oj6d4FHpDPLPifHZdffjkef/xx/Oc//8GRRx7prqDDFCdBdWRhF7XdKf39bOCqrmaRklMBD+4nOwhMppOXF1/wcAMP3GeViiovj0VvtbJkaS0P2mBlsiL9cqGsj5xdUJAZgeza29kkThSjADeyAg7xBZfhhKIAgrFoAWRWOj8jGhoUVFU52wTJg/tp27E+MB1vwzL7yOXL5Z0rFaxfDyxezJ6Vvk8zijivf4Zmx1llRrGjpoalEpQV3K+wkAWW0xur9OU2CsjGxxSOyJg6ciSwfXu8f7ZqX3l5wAcfiN5JapE5fyguZsLfyq5nll5UdoBW7fm2bGELpT093q2u4XB8HPMjqr9fwf2A4TdG+kFPT3JgSLvgfkVFbD6ZawhPJ1RVxT/+8Q/Xbuw//OEPHf9m1qxZCAQC6O/vx9q1a7HLLrskHbNy5UoAwD777OPo3LFYDBdddBH+/ve/47XXXsOB3KeLECY/n+X1TfU1ZUb1b2wEZs1ig8v++8s7rxV8sjLchD8AjB4NfPKJu9/y1CpWwj8/3174A/GBVJ9H3E2kaz1c+Osn4ZFIZkTobWtLjqBthd/p/DI5cE4mvK9MSucHxFNq8mdTXw+MHOlsFdhI+A8MJIq/vDxutZFQ6CyloyOe+cBI+GuyKAMQF/5e8EP4NzXZC38jsaYPZCiSppBH9ufPNJOyZojCAwTL6heKi1nWF6uY1mVlrL6Vlvor/LWLwTwDTU8PM854ibCuXcD2I6q/Np2f7Kj+JPydo39mPT3JC1t26fyMstjkAo6q/qWXXip8rKKbMbkR/tFoFHPmzMHChQvx5ptvJgn/VatWYdOmTSgpKcFRRx0lfN7BwUGcc845ePnll7FgwYKkRYOzzz4bP/jBD3DEEUc4LvNwYtddgR3xHFNGMCjX4t/ayga0G26Qd047uNfCcBT+1dVsscUNosK/q8ta+GtFi7Zjd5vbWo9W+GvLKSP/sFdUlQl/J+u3fgt/mtRYk2nChKcZ5ItH3d3WlkIzeDvmbbG/P1FMKoq9RSbX4anQRC3+RuLYD+Hf2ytP+BcUmAv/TZvi/zcSa/p0fiKLt3rhn43jMN8qI6vcJSWsjli146lTgRUrmKFEe127Ptzp4ql2MVgr/HfdFXj3XWfn0qIV/n5Y/Pm4T+n8MpOeHkAfvs1ufMlV4S88pCqKgvr6+qF0dVZ/VqxYgWnTpkFVVYTDYfzlL39xXcB58+YBAB566CEM6BTfvffeCwC4+uqrE2IPLFmyBNOnT8cpp5yS9Jv+/n6ceuqpeP3117Fw4UJDT4H//e9/2Lx5s+syE/4h29W/qyv1gmw4W/xLS5nwdIMTi7/V5E+7t1iby97IWuYGnmfZyNU/nYN4URGr706Fv5+5bDNZ+HPLdrrJNIt/dXU8Fzrg7hmJuPoDmbFYlk6cCn8jcWzkGeCF0aPZ30XGMeAcU1jI+iSjcrP0rwyjdiDD4p/pW2mMYGlp5br6A9bCf+ZMYOnS5Pdg1YezYLrOyqI9H/dOC4eTF4ac4rfFPxJhi6Dk6p8Z6OtdT09yHSKLvw2qYM175pln8KMf/QgdHR0YP348nnvuOey1116uCzhnzhzcfvvtuPHGG3HiiSfilltuQXFxMebPn48//elPOOaYY3D99dcn/Gb+/PlYsWIFVqxYgeuuuw6zZs0CwCz9J554Il566SWMHj0a5513nuE1edwAIvOQ7erPghzJO58Iw9niX1bGvCzcoBX+ZpMAEYt/RweLwAuwjp2v8cly9ddaMPXCP51woaBd+BBBb/GPxeRZYTNZ+PNgc+mE54bOJGEyYkS8DXd3u2szJPzFsBP+23VZbY2eIffQkMVOO7G917LGroICVo/0E/VJk1gwWI6RldbI4m8n/CsrgS+/jIu/TPOoEYHnF5fVL3DBb9XexowB6uqc7fFva2NjvhO051MU9qe8XK7w92MxlXujksU/MyHhH0e46i9cuNAyzd3AwACuvPJKPPTQQ1BVFUcccQSeeuopodR4dtxwww3Yc889ce+99+LQQw9Ff38/Jk+ejAceeAAXX3wx8nSt7JRTTsHTTz+N6dOnY8aMGUOft7e346WXXgIAbN68maz6WYhsV39Z7t1OGM4Wf21kaafwSVpfn7nFWmSPP59MA/64+nOMXP3TOYhbufxaie9gMNHiL3PSxKJTZ+bkJhMsgdwFN5P6CW2b+fJLd0FRh5vw7+4GXnkFOOkkZ7/r6ODR1JMXWMrLgbVrEz8zeoZFRcC2bY6LbEltrbxzmVmZ9YvEZsH9tBZ/kcVbbT/I+59Mal8icOEvq9y8/7Wy+PPUm/qFEivh39LiXPgbBXyVLfwB/8YcsvhnDl98ER+fjIT/cHX1F57WzJkzx/S7zZs345RTTsEHO8Kf3nDDDbj11luT9vl74eijj8bRRx8tdOycOXPQaLCRuLy8XNhzgchMZLv6W7mN+0Ve3vC1+J94Ikvd5Aat8PcS3M9M+Mty9efoFxK8Tly8YiT8ucWMp8oyIhRKtPjLFv6yn7ssMkH4FxcDq1dnlgDWtplvvgF22sn5mCoq/NPdZmSxahUwdy5zuS8vF/9dTw9QVcV+J7rHX19nMz0ytZXYzMuLx2QRsfiLLN7qn1smtHOnyHb151i9C56NSF/HCgvNxdHatcxDxAlGAV/9EP5+QcH9MgNVBXbfPf7s3Fj8i4pyU/h7dth84403sOeee+L9999HSUkJnn/+edx2221SRT9BcPxw9U+18B+u6fwAdu9jx7r7Le9SvKbzsxL+MuuCkat/pln8eQoio0GRo3f1ly380+F1I0ImuACXlLD9yLICqclA22ZaWpwJWS3a4H6xmLGwy6QFDy+0tLB0ZJ995vy3JSXMpV9E+BuJ2EwX/lbveMSIeHwCkT3+IouI2nPy86a7nTuFB/eTvWAhcj4zV3+j7CxLlwJ77umsDEZCN1uEf0EBWwwlV//0w8coHsPJjcWfz9VzDU/C/5e//CWOOeYYbNu2DdOnT8eHH36IE044QVbZCCIJ2a7+fkR3tWM4u/rLwM7iH4uJC//qarZflZ9XVl3gluxMiupfWZmcUSESYQNid7e18PfT1T9ThX8mWAJLSoCtW9Nfd7TIEP5aiz/f423kyp1J9+2FlhZg772TXfPtUFX2vI2Ef2lpcrwUIxGb6cJ/r72AJ54w/o4H4gPkRfXXP7dsHIf9sPi/+ip73nYY1bGJE4H165OP3bjRucWfz4+0wVVlC3+/LOgTJgBnnUWu/pkAb+M885gbiz+Qm8/elfBvamrC0UcfjVtuuQWDg4NDbv6TJ0+WXT6CSIALO5mkw+I/XF39ZWAl/HknbiX8u7riwp9HugfkW/wzLaq/dhLN4cLfyuLvt6t/pgr/TLAEFhezAFmZlNJOmwlDhvAvLmbCNJf3+Le2MlHgJrCpmfDX9l2cbLT4R6PAmWcaf6fts4wW6d1E9ddb8TJhgc8psoP7AcB3vmP/7FTVuP/nEf/1GAWltIN7mGl/my0W/5kz2d9k8U8/3EDI+z63wj8Xn7/j6cSHH36IvfbaC6+//joCgQDuuecePP300yiSlduFICyQLRD++EfAInyFL5DF3z2qKhaXwWqyceutzPrG4e7ufgT3y6Q9/rW1zOKodRsXEf7D1dU/E9pneTl7N5mEbIs/P5+R8D/3XK+lTT+qyp7TTjuZB9e0wkz487ShWsws/tm6T1Uv/O0s/qIxe7RWvExY4HOK7OB+TjB6DzNmAMuXJx/rJoYSH2+0nnn77QcYZN52RCqE/6GHsr/J4p9+AgGWetTK1f+gg1j2kOGGI+H/0EMP4eCDD8bGjRsxcuRIvPHGG7jiiissf7Nt2zZMnDjRUyEJgiNbPP34x8D48XLPaQdZ/L3hVfj/4hfAHnvE/19TAzQ0+BPcL5Oi+ldXs0Bx2owIosKfXP3Tg4jrbaqRJfx5+7AS/qed5rW06UdR/BH+Rn2JqiZbsDLd4m+Fnas/X0TnWPVjWrTPLhvH4fx81n5SXe5QiG3L0V+3tjbZmwxwZ/Hn8yOt8J8+PXHMdkMqhH91NbuOzO2oFNzPHYrCUlDyscqob/jWt4Bx41JftnQjLPxPP/10XHbZZejr68P++++PTz/9FIcccojt7wYHB/E132RBEB5Jt9VUBmTxd49RNHAjnNQTPrmUneHBKLhfOikuBjZtArQZVgsKmLuwU1d/mWmkMlX4+5Hr2SmZKPy1QrKtjcUhcMPgoL3wzwUCAZZOb8KExKByIigKez49PcbPRmQhMRxO9gzIFuxc/QOBRFd/J8Kf/y6bLf6p7p8iEdb29detrjYW/l4s/p2drK+RBR/r/EZ2e8tFV/NUEAgkCn+jhcPhivBjePrppwEAwWAQEydOxC9+8Quh33V3d7srGUEYkAvCfzhH9ZeB1hJghhMrpHZyKbN+ZVpUf4C5vmnzrnPRFQiIu/rLXCDJdOGf7vaZicJfO7GNxdw9I94OtMI/ExZa/KCwkAU+mzzZ/R5/wNzCb4eiJP42m6yHfln8S0pY9PWKiuwUBH6l87MjEmFtVf+8wmFja7oX4d/f79xbwIpoFPj8c3nnM8OPhbZsarOZgl74p3vulUk46u5mz56NUCiEzZs3C/+mLxWJM4lhQ7qtpjLIyyNXfy/IFv7cWiEjgJAWvWdCJtTdo49m+yU5JSXMahuJiLv6y7TMBgLsOWWq8E+3IBg5MtFDIxMwm+Q7wUj456rFv6AAWLeOtTWzwLTf+hbwl78A06YB118PTJ0KnH12PKq/TNKRwtYt5eVAUxP7t0hwv54esX52993jx6fDZd4r6drjzy3+hYXJ323aBHz5JbDrromfOxVcXPirqlzhr11E8lMEyt5SwMv6xz+yDC//7//JO3cuo3f1J+IIT2sURcELL7yAaDTq6AL19fUYPXq044IRhBG5YPEPBNigRsLfHWYTDy1OhH9xMZuYW4lfp4RCzK1QH9wv3avO11+f+P+SknjwG7N75/WVI1M4ZLLFv73dvRu7LAIBtr87kzAKKucUrfAvKclt4V9YyPZFA+bt/7332KR+2jTgnXdYf3T22ew7K3dnN/1JprY3I7hLvlk0eX1wv54esYWya65hf596avqC5HkhXXv8CwpYWzXqF6+/Hvj002Th7xQu/AcH5Qp/s+0IsvHL4v/aa2yRnhCDW/xXrvR+LlVN/9xNJsJ7/MeNG4c8F71Mfn4+xg3H6AmEL+SC8OeQ8HeHiHuxEytZYaH9PnenRCJskM6kPf5GcOHv5N5lCodMFv6trYmBEAmGDIuWVvgXFbE6mKvCv6AAKCsz/54vqsVi7BlUVLDFzViMPaf8fOambPVbJ2STxR8ARo1igs3IJZ8HguM47cO5y3y6PXucwr0GUy1GzFz9AeN0sW7Iz09O5ycDHsjWb/za49/Xx/oS2emscxVZFn99jKNcQFj4r1+/HpWVlY4vMHLkSKxfv97x7wjCiFwR/mTxd4/IZMdJ3vOCAmaRkyn8S0uZpTaTovobUVrqXPjLFGiZLPy7uqwF23BFL7a8EAqxhbeeHjZZzpX+XUthoXWsBh5wbHCQWaemTYtvgQmHWRqzujrj3+qD24kgO4ip31RXs+CIRq7+FRXxrQCA8z48nWnxvMCFf6pJhfAPBtm9yRb+qcKP7AE8w8zOOzNvID25ZpGWAU/n19HB+gW3dSlVC0apxFE6P4JIN7k0MSTh7xw/gtz4YfEvLwcaGxMnqoFA5ln9yeJvDQn/ZGRMMLUWfz6xysYgayIUFrJ0Z2bwFH+xGLB0KTBzJluQa2yMT1bNFjJ532UH7zffeSez25sRPA6Jkau/Xmy6sfhn4x5/HiA41fA9/kbPq7YWWLQI+POfvV2Du/pnq/CvqpLbjykK6wtGjmR9w6efJh8TizkzdgwHSkqAykom/Fta3I/lJPwJIs2Q8CfsaGhwdjzfgytb+H/zTfKWg/nz5ZxfFm6E/3DZ4w+Q8PcLI+Gv/TyXKCiwtvi3tLD+YnAwLvxraoCvv7YXPtrUilbk5zOr+RlnZJ+rP++jjBaGqqoS+3u3Fv9sW3DSZzNIFVYW/5IS4JFHgCef9HYNP4U/DyTqJy+8ANx5p7zzKQrz+KmpYTnnjWKrqyoJfz1//SvrHzs6gDVrmLeEG0j4E0SaIeFP2Fn9q6qcnU8kl71TysuBDRuSgww6LZvfOBH+mzezOjtcXP0BEv5mePW8MRP+uYidq39LC3NZj8WA1auBXXYRF/6iFv+iImDxYtaGt2zJTuFv5OofDLpL58dJV1o8r8jcbuMEK+EPsGwJpaXe9qH7KfxlbUewoqREvmcfF/7l5XEPIS08HggRp6oqnvVj6VJgzz3dnScXxycS/kRWkSvCPxBgg1u2TTjSTUGB/AmPX67+RsI/03Ai/OfNA5YtGz6u/p99xqyvhHx45PVQiE3uc21ipeWYY4Dvfjf+f/2iSXs7W2AaHGTtIS+PTfI3brQX6KIW/6IiYNUqYNIk4KuvMrO9mWFl8dfjxuKfja7+6dzjb+bqz+FxY9zip/CvrMy8LCl2KAqzWE+YYC38yeJvzldfsQVVN+Ti+ERVhcgqss0lz4yRI1n6pmybcKSbggL7VH5O4VF4RXNAi1BeziY/mS78td4OdvdeXx+Prj0cXP133z13+hvZeLUu8bo2HCz+tbXxqPxGEaK7upi41VpJZbv6FxezfcI1NclBRzMdrcVftvDP5qj+mebqzzETp6L4FdUfYO2gtTX75l2ffsos1tpnq11coeB+1tTXW3tdWcEXonIJEv5EVqEowP/9X7pL4Z2aGuZ2mW0DULopLJSfW11R2MAp0+LPg3mlOw+8HXyyYHfvqpoo/IeDxZ/wl8ceY/1frgt/LZEIiyeipauLCRKt8K+tBdautV/kdOLqv20bG3e2bcsu4c8tyEau/hzuReE0ene2RvVPV3C/wkImPP0U/jyqvx/ZJ4qLWdmyabxRFDbu1tayttDayj7//vfjx5DF35quLtYHuoGEP0FkABddlO4SeKe2loS/GwoLkwPmyUKm8J8yhf2dLavwIve+dSubgAwXV3/CX374Q/b3cBL+BQXJ99rdzfo0rZCrqWGp/ew8hpy4+mst/tnU3uxc/UtK4gHbhlM6Pz8y3NhRXs7qj9XzkiH8/bT4Nzdnl4cHn0MoSnzBZ3CQeQQBrB6Qxd8/jLy0sh0S/gSRBmpq2GQm2yYc6aagwD/h390tT/gHg8DFF8s5VyoQsfhzd+Hh4upPmCNTdIRCbJI/HBC1+I8YwaLVyxb+1dXZ7epv1E9ohaZTsZitrv7pKm95OdDUZH39sjL2Ptz2EX4L/2yz+APJz3L79ng/EgiQxd8Kr3PsYJDNUXKJLOvuCCI34PuNqLN2RmGht4jBVojsIXXCQw/JO5efKIq98N95Zzah6+sjV39CLsPJUmVk8efCXxtkLhBgIn3ECOvzFRbGXX+t4K7+1dXZ5+pfUgK0tbGAkEb9Mxf+Y8c6T2uWzcH90gFfiLIaJ3nKPLcLxGTxT6SzM9lNnW+5a2pi/yeLvznTpiUvtjohF139s6j6E0TuMGoU+5s6a2cUFNAz8wM74f+d77DJ9VtvyXf17+0l4Z9tyG6Dw2XiamTx567+nZ2JATZ5+i4riopYej47tK7+27ZlV3vTCkkr4e+GbE7nlw54fbQaK4qL2TZGt3v0/Q7ul20W/4aGeHBQDhf+K1aw/5PF35wjj/Qm/HPR1Z+EP0GkgfHj012C7KSwMPsmaZlOfj4bGK0mk8ccw4TDggVyXf0DAbL4ZzOyxHp/v/vgS9mEmcW/spIJf62gEhX+oq7+bW3M4l9X5992KT/gubi7u42DHWqFv1P38mze458O+MLU5Mnmx/CFGrfCn1tYrYI5uoVb/Kuq5J7XT1pagDFj4v8PBNhi38BAPLDnwAAJfzMOOcTb73PR1Z+qCkGkAeqk3TFypH+D9nCwOBrB99DaEQ6zAZCC+xGKIneyqbd25ypOLP677GLf1+mFv5nw5Ysq1dVM+GR6thEjurrshb9TsnWPf7qEPx8j7Sz+HR3uLfY8qr+Zh4cXuPDPpvGmtTVxAbC0FFi9Oj52AqwPGK7zF78hiz9BENJIR1TebGfuXH/Oqyj+xQ7IdPgeWjt4EDba40+EQmyyKWtiXlISz4SRy1jt8d+0KVFQ/eY39udzks4PiLsMZ5PFn9PVZbw4VF7OMiAAzsVPMMjeR7ZZ/EXeuV/YzVt4lgWvFn+Z4wwnG/f4t7QkCv/ycubiH42yZ5SXxxbuyZjkD7yPyCWoqhAEMewxmpAPF0Qt/qEQBfcjGOEwm9zLem977QXMmiXnXJmMVVR/N14Peou/mfDlFv5wmJUh24S/orDnZib83Vr8g0F23mwT/k1NwOzZ6S6FMTIs/n65+hcVZd8ef73Fv6IC+PBDthWov58FAG1rI4u/X5CrP0EQRA4SCpHwt4OnDertlZf2kIR/dhIKMcEq673ddBNw9NFyzpXJGC0w9vQwQdLR4bxdaYW/lSV2yhTmUQAwV+FsE/4Ay10uO7gfF/7ZZAEGgJ/9DPjf/9JdCmO87vHnwf38cPXPxvfd0sIy6nCuugr44AP2nHt72UJAWxtZ/P2CXP0JgiBykOEcFbe0VEz4c+wyADiBC/9smogRcVd/WcJfdvTuTCUSYUEytcRirP67sfhrXf1jMXPLtaIAo0ezf5eUZKfwN1vYKC9n7ttWx5jBF3yzzeIfCGTueMUXsfr6Ms/iD/h3Xj/RpvUsLmZ/+CIGWfz9hdL5EQRB5CBbt7LAgcORSETclU1R/BH+2TYRG+7IdvUfLphtKQoEkqP6i8C33wBM0IgI2Gy0+BcVsWwERjhduNSSrXv8M5n8fOad0dvrPaq/H+/FD08CP9m4EaitTf48GGSLftXVLEVnpi4EZTu5KPypqhAEMexZvXp4BBczYvNmNnkQhYQ/ITu433DBaI8/EBf+Ti3+WiufmSu8ntLS7EudyAPGGcGDjgLugvtlm+t3tuDF4j8wwP7thxU72yz+Y8ca108u/MeNY+n9yOLvD9rF1VyBujuCIIY9//53Yq7c4cRPfgKcfLL48T098lyzSfhnJ2Txd4eZxT8vz53FH4i7tw8MiAnYW2/NPgu3VRwSLngGB51bPUOh7Azulw14tfj7RbZZ/M3gwn/sWBblP9u8eLIFsvgTBEHkIHvsAVRWprsU6aGmBpgxQ/x4UcuiCCT8sxPZe/yHCwUFyRZ/RWGC1SxdnQhtbeKu0Qcd5O4a6UTEnd9NFHly9fcPr+n8/CJXPDx4XJBx49g2GHL19wcS/gRBEMSwxmkALSuCQRKQ2QgJf3dEIskWf1X1ZvFvbWVRv1tbc0PQGBGJJKYtNMKt8Bf1lCCc4TadH4/q7xe/+hWwzz7+nT9VcIv/6NEsRhG5+vsDufoTBEEQhCTKy1lgIhKQ2UU4TMLfDUYWf8D9Hn8gvh+6rS13LdebN8ezEpjhJvYIr7+5+tzSSaZa/K++2r9zp5JgkHnBFBayZ00Wf3/IRYs/CX+CIAgiLZSXs8kLCcjsIhSiBRs36C3+qhp39Xdr8eeB+trbc9dyffDBwKxZ1se4sTBzYUrCXy7cg6WiwvlvAwG5XmW5Crf4B4MslSdZ/P0hHI4HD80VcnSYIAiCIDKd8nL2N1krsgse3K+qKt0lyS70Fn9upc7LY/92Y/EvLGR/57LFf+5c6+8VhT1Xtxb/XF0wSRfFxcz9fNy4dJckd+HCPxRiCyU0hvpDUZH9NqNsg6oKQRAEIYxMywIX/kR2QXv83cEt/lddBSxbxibuhYXxSbtbiz/3nBmuArawEGhudrfHHxi+z80vSkpYijmKNO8fPLhfMMjqP1n8/aG42DyVaLZCwp8gCIIQRqYbZlmZvHMRqYOEvzsCAeaWe++9bN96dzez8nPh78biX1QEVFcPb+FfXAxs3+7e1d/NggthTjQKrFtHwt9PtBb/0lKy+PtFKJR7rv5UVQiCIAgh8vNZOj9Z8P3JRHZBwf28E4vFLf7cRd+NAC0sZFsuctnV3w4u/N26+pO1VC41NcBXX5Hw9xPtHn8S/v6hKLnXP1BVIQiCIIQIheJRxGUwcaLc8xGpgSz+3unoYBZ/rau/W4t/NEoW/23b3Lv6E3Ih4e8/WuFfUpJ74pTwDxL+BEEQhBDhsHy32OFqpcxmSPi7h+eE7uhgE/eCAm8W/+LiuPAfrm3JrfB3k26OsKe2lv1Nwt8/yNWfcAtVFYIgCEKIUIj2wxJx4T9cLcxeaGkBxoyJC39u8c/Lc7eQ8tOfAocdRhb/bdvcu/oTcpk0if3txoOFEEPv6k8Wf0IUEv4EQRCEEH5Y/InsIxSKTzoJZ3Dhv2xZoqu/23ZVXs6CZA53i7+b4H6xmD/lGe5UVrK/SYz6R34+7fEn3EFVhSAIghCCLP4EQK7+XuDC/w9/YJHPuau/F+toJMI8CIazxd9NcL/aWuDTT/0p03Bn+fJ0lyC34X1vXh7t8febSy9NdwnkQsKfIAiCEIKEPwGQ8PfC1q0s+BkALF7s3eIPxLMsDGfh72aPfyAAzJzpS5GGPdOmpbsEuU0wGO9/yeLvL4cdlu4SyGWYDhMEQRCEU8Jhco8lSPh74ZFHgBkzWG7od94BfvhD7xb/cJi5/Q5nV//GRlqUzBVUlYSsHXrhTxZ/QhQS/gRBEIQQoRCblBHDm1CICVcS/s4555z4v//xD7L4y4Bb/EtK0l0SQgYDA6xdEOYEg/GsFGTxJ5wwTIcJgiAIwinhMFkWiPiEc7gKTRmUlwOtrUy0BgJk8fcCTxtH6eNyg/5+6lvs0Fr8d9kFGBxMb3mI7IGaFkEQBCFEKESWBSIu/Mni757ycvZ3TQ0T7F4t/l1dw1cscUs/Cf/cIBCgvsWO/Pz4Mxo/nv0hCBFoCkcQBEEIQcH9CCAu/PnfhHO48I9G5Vj8OzvJ4k/CPzcIBofvIpYoWld/gnACNS2CIAhCiHCY9vgT8ejpZWXpLUc2w611oZB3i38oNLwt/gUFbPGEhH9uoHVjJ4yhZ0S4ZZgOEwRBEIRTRoxIdwmITIBPOLnVmvBGKASMHu3+9+EwC4g2XIW/ogAjRw7f+881SNTaQ8+IcAt1kwRBEIQQ3/teuktAZALcpby0NL3lyHa490xBAfC737k/DxcAw9XVH2CxEojcgFz97SFXf8IttMefIAiCIAjH0OQ8M+CZNobz+xgzJt0lIGShDVxHGEPPiHALCX+CIAiCIIgsZzhb/P/xj3SXgJAFWfztIVd/wi0k/AmCIAiCILKc4SyWiorSXQJCFiRq7SFXf8ItJPwJgiAIgnDEunXpLgGhZzgLfyJ3IIu/PbQ4QriFhD9BEARBEI6YMCHdJSD0DGdXfyJ3IFFrDz0jwi0k/AmCIAiCILKYJ54Adt893aUgCO9Q4Dp7yNWfcAs50xAEQRAEQWQxZ56Z7hIQhBzI1d8eWhwh3EIWf4IgCIIgCIIg0g65sdtTWgqcckq6S0FkIyT8CYIgCIIgCIJIO2TxtycYBObOTXcpiGyEhD9BEARBEARBEGmHLP4E4R8k/AmCIAiCIAiCSDtk8ScI/yDhTxAEQRAEQRBE2qHAdQThHyT8CYIgCIIgCIJIO+TqTxD+QcKfIAiCIAiCIIi0U1QEFBSkuxQEkZvQLhqCIAiCIAiCINLOmWcCipLuUhBEbkLCnyAIgiAIgiCItBMgX2SC8A1qXgRBEARBEARBEASRw5DwJwiCIAiCIAiCIIgcJmuE/6uvvoojjjgCFRUVKCoqwl577YWHHnoIsVjM1fnq6upw4YUXYty4cQiHwxg3bhwuvPBCbNmyRXLJCYIgCIIgCIIgCCJ9ZIXwv/vuu3H00UcjEongjTfewKeffoojjjgCl1xyCb73ve9hYGDA0fmWL1+O3XbbDf/6179w3333YeXKlbjvvvvwz3/+E7vvvjuWL1/u050QBEEQBEEQBEEQRGrJ+OB+b7/9Nq677jpMnz4dzz//PII7knvefffdaG5uxp/+9CfcfffduPHGG4XONzAwgLlz52L79u1499138a1vfQsAMGHCBNTU1ODAAw/EySefjM8//xz5+Rn/eAiCIAiCIAiCIAjCkoy3+N98880AgEsuuWRI9HOuvPJKAMCvfvUrdHd3C53vqaeewsqVK7HffvsNiX7OAQccgP333x8rVqzA008/7b3wBEEQBEEQBEEQBJFmMlr4NzY2YtGiRQCAww47LOn7KVOmYMyYMWhra8Mrr7widM5nnnnG9HwAcPjhhwMACX+CIAiCIAiCIAgiJ8hoX/aPP/4YsVgMwWAQO++8s+ExU6dOxaZNm/DRRx/hpJNOsj3nBx98MPQ7s/MBwEcffWR5nt7eXvT29g79v62tDQAQi8VcBxxMBbFYDKqqZnQZCSIToLZCEPZQOyEIMaitEIQ91E7cIfq8Mlr4r127FgBQVVWFQMDYOaG2tjbhWCs6OjrQ0NAAAKipqbE8X319Pbq6ulBYWGh43J133olbbrkl6fPGxkb09PTYliVdxGIxtLa2QlVV02dKEAS1FYIQgdoJQYhBbYUg7KF24o729nah4zJa+HMrekFBgekxXJi3trYKn8/qnFqh39raair8r7/+elxxxRUJ5x47diyqqqpQWlpqW5Z0EYvFoCiK5WIKQRDUVghCBGonBCEGtRWCsIfaiTsikYjQcRkt/DOZcDiMcDic9HkgEMj4iqooSlaUkyDSDbUVgrCH2glBiEFthSDsoXbiHNFnldFPlFvOrSL2d3V1AQDKysqEz2d1Tn4+0XMSBEEQBEEQBEEQRCaT0cKfB/RrbGw0DVpQV1eXcKwVxcXFiEajANgefqvz1dTUmLr5EwRBEARBEARBEES2kNHCf9asWQgEAujv7zcN3rdy5UoAwD777CN0zn333Tfhd17PRxAEQRAEQRAEQRCZTEYL/2g0ijlz5gAA3nzzzaTvV61ahU2bNqGkpARHHXWU0DlPOeUU0/MBwIIFCxKOIwiCIAiCIAiCIIhsJqOFPwDMmzcPAPDQQw9hYGAg4bt7770XAHD11VcnuOUvWbIE06dPxymnnJL0m9NPPx2TJ0/GBx98gMWLFyd8t3jxYrz//vuYMmUKTj/9dD9uhyAIgiAIgiAIgiBSSsYL/zlz5uD222/HsmXLcOKJJ2LJkiVYvXo1rrvuOvzpT3/CMcccg+uvvz7hN/Pnz8eKFSvw7LPP4rPPPkv4LhgM4rnnnkNFRQXmzp2L559/Hhs2bMDzzz+PuXPnoqKiAs8++yzy8ynhAUEQBEEQBEEQBJH9ZLzwB4AbbrgBL7/8Mrq7u3HooYdizz33xGuvvYYHHngA//73v5NE+imnnIKRI0fi4IMPxowZM5LOt+uuu+Lzzz/Hcccdh8suuwxTpkzBZZddhuOOOw6ff/45dt1111TdGkEQBEEQBEEQBEH4iqKqqpruQuQCra2tKC8vxzfffJOQNjDTiMViaGxsRFVVFeXHJAgLqK0QhD3UTghCDGorBGEPtRN3tLW1YezYsWhpabFMR0/+7JJob28HAIwdOzbNJSEIgiAIgiAIgiCGE+3t7ZbCnyz+kojFYtiyZQtKSkqgKEq6i2MKXxHKdM8Egkg31FYIwh5qJwQhBrUVgrCH2ok7VFVFe3s7Ro0aZekpQRZ/SQQCAYwZMybdxRCmtLSUGhRBCEBthSDsoXZCEGJQWyEIe6idOMfK0s+hzRMEQRAEQRAEQRAEkcOQ8CcIgiAIgiAIgiCIHIaE/zAjHA5j3rx5CIfD6S4KQWQ01FYIwh5qJwQhBrUVgrCH2om/UHA/giAIgiAIgiAIgshhyOJPEARBEARBEARBEDkMCX+CIAiCIAiCIAiCyGFI+BMEQRAEQRAEQRBEDkPCnyAIgiCGAYsXL8aUKVOgKAo2bNiQ7uIQREZC7YQgiFyFhP8w4tVXX8URRxyBiooKFBUVYa+99sJDDz2EWCyW7qIRhDQeffRRKIpi+Wfp0qWGv/3ggw/wve99D1VVVSgoKMCMGTNw2223obe31/KadXV1uPDCCzFu3DiEw2GMGzcOF154IbZs2eLDHRKEM7q7u3HllVfi4IMPxurVq4V/l+r20Nvbi9tvvx0zZsxAQUEBqqqq8L3vfQ8ffPCBcJkJwi1O28miRYtsx5p//vOfpr9ftWoVfvCDH6C2thaRSAQ777wzrr76arS2tlpet7W1Fddccw0mTZqESCSC2tpa/OAHP8CqVauc3jJBOGbjxo249dZbccABB2DEiBEIBoOorq7GMcccg2effdbytzSmZAAqMSy46667VADqscceq3788cfqqlWr1GuuuUYFoB533HFqf39/uotIEFJ45JFH1IKCAnXKlCmmf1asWJH0uyeffFLNy8tT999/f/Wtt95Sv/rqK/Wee+5R8/Pz1X322Udtb283vN6yZcvUyspKtaamRn322WfVdevWqc8++6xaXV2tVlZWqsuWLfP7lgnClK+++kqdPHmyOn78ePX1119XAagA1PXr11v+LtXtob29Xd1nn33U/Px89Z577lG/+uor9a233lL3339/NS8vT33yySe9PgqCMMVNO1m4cKGan59vOdYsWLDA9Ld8nHr11VfVdevWqfPnz1eLi4vViRMnqlu2bDH83ZYtW9SJEyeqxcXF6vz589V169apr776qjplyhS1oKBAXbhwoYSnQRDGLFq0SM3Pz1fD4bD6i1/8Qv3oo4/UNWvWqM8884y6yy67qADU008/XR0cHEz6LY0pmQEJ/2HAW2+9pQJQp0+frvb19SV8d8EFF6gA1Ntuuy1NpSMIuTzyyCPqnDlzHP3mq6++UsPhsBqNRtXm5uaE726//XYVgPqjH/0o6Xf9/f3q1KlTVQDqu+++m/DdO++8owJQp02bRgtrRNr417/+pV500UVDkyoRQZOO9nD++eerANTbb7894fPm5mY1Go2q4XBYXbt2reBdE4Qz3LSThQsXquPHj3d8rebmZnXkyJFqJBJJqtNPPvmkCkA9/PDDDX97+OGHqwCSRMvatWvVcDisjhw5Um1paXFcJoIQ4YUXXlABqL/97W+Tvtu8ebNaUlKiAlAffvjhhO9oTMkcSPgPAw499FAVgPr73/8+6buVK1eqANTS0lK1q6srDaUjCLm4Ef7nnXeeCkC99tprk75raWlRw+GwGggE1K+//jrhu8cff1wFoO63336G591///1VAOoTTzzhqDwEIYuBgYGE/4sImlS3hw0bNqiBQEANh8OGouW6664znRgShAzctBO3wv+Xv/ylCkA99dRTk74bHBxUR40apQJQ33nnnYTvuBFn1KhRhhbV0047jQw5hK+88MILal5entra2mr4/RlnnGG4cEVjSuZAe/xznMbGRixatAgAcNhhhyV9P2XKFIwZMwZtbW145ZVXUlw6gkg/g4ODeP755wEYt5GysjLss88+iMViSfvXnnnmGdPfAcDhhx8OAHj66adlFpkghMnLy3N0fDraw3PPPYdYLIZZs2ahrKzM9HfPPfccBgcHHd0PQYjgtJ14waqdBAIBHHrooQCS2wn/3SGHHIJAIHn6TuMN4Tff/e530dTUhNLSUsPvx4wZAwBoamoa+ozGlMyChH+O8/HHHyMWiyEYDGLnnXc2PGbq1KkAgI8++iiVRSMI32hvb8cvf/lL7L333ohGoxg9ejQOO+ww/OEPf0BfX1/CsatXr0ZLSwuAeFvQY9ZGeIAYp78jiEwlHe1B9HfNzc346quv7G6BIFJGf38/7r//fsyePRu1tbWora3FgQceiF//+tfo6OhIOr6zsxPLli0D4F87WbZsGbq7u93dEEFYEAwGTUU/wILwAcBuu+029BmNKZkFCf8cZ+3atQCAqqoqwxViAKitrU04liCynSVLluC9997DLbfcgkWLFuHxxx9HeXk5LrroIhx44IFobm4eOlZb72tqagzPZ9RGOjo60NDQIPS7+vp6dHV1ebspgkgB6WgP/Dxmv9N+TuMUkUls2bIFf//733HllVdiwYIFeOaZZzBjxgxcc8012HPPPbF+/fqE49evXz+USclJ+9L+3+53sVgs6boE4TcDAwN44403AAAXX3zx0Oc0pmQW+ekuAOEvbW1tAICCggLTYwoLCwHANoUMQWQD06dPxz333IMrr7wy4bPDDjsMxx9/PF588UWcd955eOGFFwDE20heXh6CwaDhOY3aCP8dYN6++O/4b7X/J4hMJB3twW6cysvLQzgcRm9vL41TRMYwZswYzJs3DzfeeGNCWznwwAMRDofx4IMP4uSTT8bHH38MRVEAOGsn+rpu10707YsgUsn8+fNRX1+Piy66CPvss8/Q5zSmZBZk8ScIIqfYd999E0S/lnnz5gEA/vnPf2LNmjWpLBZBEASRQ0yaNAk333yzoZi58cYbkZeXhyVLlmDBggVpKB1BpI6vvvoKV111FWbPno3f/OY36S4OYQEJ/xyH78Wx2u/F3WOMAmAQRC6xxx57DAVxevfddwHE28jg4CD6+/sNf2fURrT73Mzal9b1jNoXkQ2koz3YjVODg4Po7e1N+h1BZCrV1dVDgc74WAM4ayf6um7XTmi8IdJBXV0djjzySEyaNAmvvPIKIpFIwvc0pmQWJPxzHB7Qr7GxcWhfmR4ejMMs+B9B5Ar5+fkYOXIkgHjUWW29r6+vN/ydURspLi5GNBoV+l1NTQ25+RNZQTraAz+P2e+0n9M4RWQLfB+xNsL5hAkThtz+nbQv7f/tfhcIBLDTTju5LzhBCLJlyxYcdthhiEajePPNNw1FNI0pmQUJ/xxn1qxZCAQC6O/vNw1gsXLlSgBI2JNDENlId3c3/vOf/6Czs9Pw+4GBAWzbtg0AUF5eDgCYPHny0GDF24Ieszay7777uvodQWQq6WgPor8rLy/HpEmTbO+BIFLBf/7zn6HxxAguLvhYAwBFRUWYMWMGAP/ayYwZM2ihmfCdr7/+GgcffDCi0SgWLFiAESNGGB5HY0pmQcI/x4lGo5gzZw4A4M0330z6ftWqVdi0aRNKSkpw1FFHpbp4BCGVrVu34rjjjjNNn/fFF18M5Wzdf//9AbAgLyeddBIA4zbS2tqKjz76CIFAAHPnzk347pRTTjH9HYChvZ38OILIdNLRHubOnYtAIIBPPvnEMNAS/91JJ52U0nzrBGHFcccdh//85z+G3zU2NmLTpk0AgNmzZyd8Z9VOYrEY/vvf/yYcp//dokWLDD04abwhUsWaNWtw0EEHYeedd8Yrr7yC4uLioe8+//zzBD1BY0qGoRI5z6JFi1QA6owZM9T+/v6E7y644AIVgPrLX/4yTaUjCHmsX79eBaCec845ht+feOKJKgD1yCOPTPh8zZo1aigUUqPRqNrS0pLw3e23364CUM8777yk8/X19amTJ09WAajvvvtuwnfvvvuuCkCdMmVKUrsjiHQBQAWgrl+/3vSYdLSHc889VwWg3nHHHQmfNzc3q9FoVA2FQupXX33l4E4Jwj0i7QSA+u1vf1uNxWJJ3/385z9XAajTpk1TBwYGEr5rampSKysr1Ugkoq5bty7huyeffFIFoB566KGG1/z2t7+tAlD/9re/JXy+du1aNRwOq5WVlWpzc7PYTRKEC7788ku1pqZGPeGEE9Senp6k7xcuXKjq5SWNKZkDCf9hAm9Yxx57rPrJJ5+oq1atUq+99loVgHrMMceQMCFygo0bN6qKoqgA1B/+8IfqW2+9pW7YsEF977331DPOOEMFoE6fPl2tq6tL+u3jjz+uBgIBdfbs2eo777yjrl27Vr3nnnvU/Px8ddasWWpbW5vhNb/44gu1oqJCrampUZ977jl1/fr16nPPPafW1NSoFRUV6hdffOH3bROEJQ0NDWpdXZ1aV1c3JGg+/PDDoc+MSHV7aGtrU2fNmqXm5+er99xzj7p27Vr1nXfeUffff381EAiojz/+uLTnQRBGOG0neXl5KgD1u9/9rrpgwQJ1/fr16pIlS9RLL71UBaCOGTNGXb58ueG13nzzTTUSiahTpkxRX3vtNXXdunXq/Pnz1eLiYnWnnXZSN2/ebPi7zZs3qzvttJNaXFyszp8/X123bp362muvqVOmTFEjkYj65ptvSn0mBKHliy++UEeOHKkCUPfYYw911qxZSX+4UNdDY0pmQMJ/GPHyyy+rhx12mFpWVqYWFhaqM2fOVB944IGk1WiCyGZWrVqlzps3Tz3ggAPUiooKNS8vTy0vL1e/9a1vqffee6/a2dlp+tv33ntPPf7449XKyko1HA6rU6dOVW+55Ra1u7vb8pqbNm1SL7jgAnXMmDFqKBRSx4wZo15wwQXqpk2bZN8eQThm/PjxQ0LG6I8ZqW4P3d3d6i9/+Ut16tSpajgcVisqKtTjjjtOXbx4sav7JggnOG0nmzZtUu+66y710EMPVaPRqJqfn6+WlJSoe+21l3rzzTer27dvt7zeihUr1NNPP12trq5WQ6GQOmHCBPWKK66wtdg3NzerV155pTpx4kQ1FAqp1dXV6umnn266yEAQsrjvvvss24jduEJjSvpRVFVV5WwaIAiCIAiCIAiCIAgi06DgfgRBEARBEARBEASRw5DwJwiCIAiCIAiCIIgchoQ/QRAEQRAEQRAEQeQwJPwJgiAIgiAIgiAIIoch4U8QBEEQBEEQBEEQOQwJf4IgCIIgCIIgCILIYUj4EwRBEARBEARBEEQOQ8KfIAiCIAiCIAiCIHIYEv4EQRAEQRAEQRAEkcOQ8CcIgiAIgiAIgiCIHIaEP0EQBEG44LbbboOiKEN/Hn300bSUo6enJ6EcO+20k5Tz3nzzzRlxfwRBEARBeIeEP0EQBJFzNDU14eabb8Y+++yDsrIyhEIh1NbWYq+99sJZZ52FP/7xj1i5cqWna1x++eWoq6vD97//fUmldkckEkFdXR0+/PBDqee96qqrbO/v9ttvR0VFBf773/9KvbZMNmzYkLCAof2zaNGihGP1ix2yF1NEWbBgASoqKnDnnXem9LoEQRBE7kLCnyAIgsgpli9fjhkzZuA3v/kNjjvuOCxYsABr167Ff//7X/z85z/Hxx9/jAsvvBAnn3yyp+sUFRWhpqYGBQUFkkrunpqaGlRVVUk9Z3Fxse39/e1vf0NzczOef/55qdeWydixY5MWRj788EPU1dXhW9/6VsKxfLHjyiuvBADMnj0bdXV1+Oijj1Ja5hdeeAHNzc148sknU3pdgiAIInfJT3cBCIIgCEImF1xwAerr6/H3v/8dp556asJ306ZNw5FHHok999wzTaXLLa6++mr84Q9/wLnnnpvuopiSl5eHmpoa9PT0DH1WVVWFmpqapGOLi4uH/gBAKBQyPM5vzjvvPHzyySf4yU9+kvJrEwRBELkJCX+CIAgiZ2htbcXixYsBAEcffbThMTU1NTj11FOxYMGCVBYtJznnnHNwzjnnpLsYOcesWbPw/vvvp7sYBEEQRA5Brv4EQRBEzhCLxYb+vXnzZtPjbrrpJjz33HOG33V1deGOO+7AzJkzUVRUhIKCAkydOhXnnnsuXn755YRr6HnnnXfw7W9/GyUlJSgtLcWxxx6LVatWmR6/YcMG/PjHP8b48eMRCoVQVVWFY445Bq+99prpbz777DOccMIJGDFiBIqKirD33nvjscceMz1+5MiRpnvVzznnnIS97Bs2bDA9j5ZFixYl/E4r/t95552k7zZt2oQzzjgDI0eOREFBAfbee2+8/PLLls/lBz/4AaLRKCKRCCZPnoybbroJXV1dad17r6WpqQnXX389pk+fjoKCApSVleGAAw7An//8ZwwODiYc+6Mf/SgptsArr7yCOXPmoKysLOFzq/szi0Gg/RONRpPKumnTJvzsZz/DzjvvjEgkgoqKChx++OGGbeDwww9PqhN/+ctfsPvuuyMSiaC6uho/+clP0N7eLvV5EgRBEP5Cwp8gCILIGUaMGIFRo0YBAC666CJs3brV8LjKykpMmTIl6fOGhgbMnj0bN998M0499VR8+umn+OSTT3DxxRfj+eefx3e/+128+OKLhud86623cNttt+Huu+/GJ598gptuugmvvvoqDjvsMHR0dCQd/84772DmzJn45z//iTvuuAPLli3DU089hebmZhx11FG4++67k36zaNEizJ49G2+//Tbuu+8+LFu2DH/4wx/w0ksv4bbbbjMs1/Lly00D/z3wwAOoq6vDmDFjDL8341vf+hbq6upw//33J3233377JXy3bds2nHbaaTjzzDPx0Ucf4a9//SvWr1+P448/Hh9//LFheffee288++yzuOGGG7B8+XI899xzaGpqwne/+92h49Kx956zZs0a7LnnnnjooYfws5/9DMuWLcPbb7+NmTNn4oILLsDxxx+Pvr6+oeN/85vfoK6uDrNnzwYAPP3007jnnntw++23Y+nSpbj11luHjrUL1Pj9738fdXV1CX9WrVo1tCWBxyfgvPfee9h9993x7LPP4tZbb8XKlSvx2muvYcSIETj55JPx4x//OOH4Z555JqFO3Hnnnfj888/x9NNP4/3338eRRx6Jhx9+GGeddZa3h0gQBEGkFpUgCIIgcog//OEPKgAVgFpQUKCeeeaZ6nPPPae2tbXZ/vboo49WAai/+tWvkr7729/+pgJQX3jhhYTPzz77bBWAOmLECLWjoyPhu5NOOkkFoP71r39N+Ly5uVmtrq5WAajvvfdewnfd3d1qbW2tGggE1A8//HDo866uLnX06NEqAPVf//pXwm8GBwfVPffcUwWgjh8/Pqns69evN/1OVVV1/PjxKgB1/fr1Sd/x+3vkkUeSvnvkkUdUAOrZZ59t+h0A9d1330347oEHHlABqOeff37S7/baay8VgPrAAw8kfXfCCScMndMp/BmY3aeWefPmqQDUOXPmJH03MDCg7rbbbioA9amnnkr6/swzz1QBqFdffXXSd3PmzFEBqKNHj1a7u7sTvps8efLQczJ7X/PmzTN81qeffroKQD388MPVWCw29HlLS4taW1urAlAXL16c8JvBwUH1oIMOUgGov/vd75LOyevEEUcckfB5f3+/WlVVpQJQN27cmPQ7giAIIjMhiz9BEASRU/zkJz/B7373O1RUVKC7uxtPPvkk5s6di8rKShx66KH4v//7P7S1tSX9bsmSJXjllVcQDAZx4YUXJn1/8sknY9SoUQgGg4bX/f73v4+ioqKEz/bbbz8AwNKlSxM+/8tf/oKtW7di9uzZ2H///RO+i0QiOOeccxCLxfB///d/Q58/++yz2Lx5M0aPHo3jjz8+4TeBQAAXX3yx+UNJI1OmTEmKnm/2XN5++20sWbIEoVAI559/ftK5LrnkEillmjFjRkIgP/2fO+64w/S3//rXv/DFF18MxYrQc/nllwMAHnzwQTQ3Nxue44ILLkAkEkn4bNWqVUnPSc+Pf/xj3HzzzQmfPfLII3jqqadQVVWFv/71r1AUZei7v/zlL6irq8O+++475G3ACQQCuOyyywAAt912m+kWlvPOOy/h//n5+Zg1axYAtu2EIAiCyA5I+BMEQRA5x09/+lN88803eOKJJ3DyySejvLwc/f39WLhwIS6++GLsvPPOSS77r7/+OgBg6tSpKCkpSTpnMBjE5s2bE9zNtUyaNCnps4qKCgBIEoD8WnvvvbfhuSZOnAgAePfdd4c++9///gcAQ6JLz7Rp0ww/TzdOngu/x6lTpyYtogDy7vHll1/G0qVLTf8YLfxwtO9OK7I5M2fORCgUQk9PD9566y3Dc7i9j1GjRiXs+1+9ejUuueQSKIqCRx99NCkDAS/rvvvua3g+/nldXR2++OILw2OcvD+CIAgic6Go/gRBEEROUlhYiDPPPBNnnnkmBgcH8e677+Lvf/87HnvssaF958uXL8f48eMBAF9//TUAlurNDZWVlUmf5eezYVYf7G3jxo0AgD/+8Y+YP39+0u/48doAhZs2bbIsXzrSzolg9Fy414T+uaTqHsePH28ZGJALWyN4PTEKogew9IGVlZWoq6sbOlaP2zqmpa+vD6eddho6Ozvx85//HMccc4zjslZXVyccu8ceeyQd4+T9EQRBEJkLCX+CIAgi58nLy8PBBx+Mgw8+GFdddRX23ntvNDc346mnnsJ1110n5RpG1l87Lr74Yvz0pz91dE5VVR1fxw4/zslx81z8LE8m4OaZ6Lnmmmvw6aefYs899zQMBCkLGWUlCIIg0g+5+hMEQRA5xR133IEPPvjA9PuJEyfitNNOA4CE9HXc8t/Y2Ohr+bTXUlUVkyZNMv2z8847D/2GR1k3K199fb3p9fLy8gCYW2i3bdvm6j5k4+UeUwV/d2YZIwYHB7F9+/aEY2Xz0ksv4YEHHkBRURH+/ve/IxQKuSqr9nO/ykoQBEFkBiT8CYIgiJzi4YcftswRD2AosJrW5frII48EAKxcudIwR3l3dzeOOuooPPzww57LyK9llrZNVVUcccQRuOqqq4Y+mzNnDgDgk08+MfzNihUrTK9XVlYGwHhPdl1dHbq6usQK7jP8HletWmWYAtHqHlMFf3cfffSRYUC8pUuXoq+vD5FIBAcffLD062/ZsgXnnHMOABZAcPLkyQnfP/roo0PPjpfVbCGM17/a2lrstttu0stKEARBZA4k/AmCIIic4/HHH0dra6vhdx0dHXjhhRegKApOPPHEoc/32msvHH300ejv78cf/vCHpN89+uijeO2117Dnnnt6Lt/555+PmpoavPfee1i8eHHS908++SQWLFiAQw45ZOizk08+GaNHj8aWLVvw73//O+H4WCyG3/3ud6bXKy0txYQJE9DZ2YmVK1cmfGcUYyBdHHTQQdhrr73Q19dnWK4HH3wwDaVK5IQTTsCuu+6KhoYGPPXUU0nf33fffQCAn/3sZxgxYoTUa8diMZx11llDMSrOPffcpGPOPffcIQ8OXs8+/vhjvPPOO0nneuCBBwAAN954IwIBmhISBEHkMtTLEwRBEDmFoijYsGED9t9/fzzyyCNYvnw5Nm3ahCVLluDhhx/G3nvvjQ0bNuDmm2/GXnvtlfDbRx99FLvtthtuvPFG3H333VizZg2WL1+OX//617jiiitw7bXXYp999gHAPADq6+vR3d0NAGhtbUV9fT0GBwcxODiI+vr6ocUH/bFlZWV4/vnnUVZWhhNOOAF/+ctfsG7dOnz55Ze44447cMEFF+CSSy7BscceO1S2goICPPHEEygoKMA555yDxx57DF9//TU++eQTnHbaaSgtLQWAoWs3NTUl3BuPJXDOOefg3XffxYYNG/D73/8eS5Yswbhx4wAwF3vuTt/R0WF4f93d3ejr6zO8v46ODtt7b2xsHHLl1x8LAH/9619RWVmJa6+9Fg888MDQc/nZz35mGXTPDH4N7fYBfp99fX0Jx/J75hZzfp/a3+bl5eG5557D2LFjh1JHrlu3Dl988QUuvvhiPPnkkzjmmGNw++23J52XX6+pqSnpvjna6+nf5V133YX//ve/GDFiBC655BJ8+eWXSX+08Ho2YsQIzJ07F08++SS+/vprfPzxxzjttNPw9ttv40c/+lFCKkhtPebPipfHqs4TBEEQGY5KEARBEDnEli1b1D/84Q/q6aefrs6YMUMtLS1VA4GAWlhYqE6ePFn94Q9/qL7zzjumv+/o6FBvu+02dbfddlMLCgrUiooK9Vvf+pb697//XY3FYkPHPfLIIyqApD/r169X169fb/jdI488knCtjRs3qj/96U/VnXbaSQ2FQmpNTY16yCGHqM8880zCtbQsXbpUPe6449SysjI1Eomo06dPV++66y519erVCdfab7/9En4Xi8XUu+++W504caIaDAbVMWPGqNdee63a09Ojjh8/PuG3/f396rx580zvYeHChYbfzZs3z/be9dcCoJ599tkJZV23bp16xhlnqJWVlWo4HFanTp2q/upXv1L7+/tVAKqiKML1waw8ANSFCxcmHGt2z+PHj0867/bt29XrrrtOnTJlihoOh9WSkhJ19uzZ6sMPP6wODAwInVd/36qqGh43Z84cVVVVdaeddjK9F30d1LJx40b14osvVidMmKCGQiG1vLxcPfTQQ9Vnnnkm6fpnn3226f1b1XmCIAgis1FUNcdD5xIEQRAEkRO0t7ejtLQUI0aMSPJoIAiCIAjCHHL1JwiCIAgiY3jnnXfw6quvGn63fPlyADDMN08QBEEQhDkk/AmCIAiCyBgWLFiAyy67DP39/Unf8YwKRkHtCIIgCIIwh4Q/QRAEQRAZxerVq3HSSSfh7bffxsaNG7FkyRJcfPHFmD9/Pk477TScddZZ6S4iQRAEQWQVtMefIAiCIIiMYePGjXjiiSfw8ssvY8OGDWhsbEQkEsHuu++Oc889F+eeey4URfn/7dpBCQAADAMx/64no+xIFPR70PVMAHhF+AMAAECYqz8AAACECX8AAAAIE/4AAAAQJvwBAAAgTPgDAABAmPAHAACAMOEPAAAAYcIfAAAAwg53CM6ecCUovwAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.price_factor(scenario= scenario_reduced, location= houston, resource= CH4)\n", - "plot_scenario.capacity_factor(scenario= scenario_reduced, location= houston, process= PV)\n", - "plot_scenario.capacity_factor(scenario= scenario_reduced, location= houston,process= WF)\n", - "plot_scenario.demand_factor(scenario= scenario_reduced, location= houston, resource= Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvMAAAI6CAYAAACq4serAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABq9klEQVR4nO3de3zP9f//8ft7B9scNoc2zGFESCU5lENR5BTKqaOKiUpCqNBHn5BzKXJIOlBSOlBRTiNKViJ85JBFRthswua82fv5+8Nv76+39/u9vffeZl7tdr1c3pfL9n49n6/n47Xt/d59rz1fz5fNGGMEAAAAwHL8CroAAAAAAL4hzAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizANX0MiRI2Wz2bJ8+Pn5qVSpUmrUqJHGjx+vlJSUgi4bV9iGDRsUGRmphg0b6sSJEwVdjlfi4+Oz/dnO6nHnnXdmuf+TJ09qxowZuueee1S5cmWFhISoVKlSuv766/XEE0/o22+/VXY3NL/zzjuzrSMgIEBly5ZV27ZtNW/ePGVkZLjsp23btj4fZ5UqVRz76dmzZ5Zt4+PjHW3Xrl3rVTtYR1Y/j5f+nGTK7jU2cuTILMdLS0vT3Llz1bVrV1WtWlXFihVTaGiorrvuOj3yyCNasGCBLly4kD8Hi3xlM9m9+wHIM9u2bdO2bdskSY899pgk6Y477tCTTz7paHPmzBlt3LhR8+bN0/nz51W5cmUtXrxYN998c4HUjCvv2Wef1YwZMyRJX375pbp27VrAFWXv9OnT+uqrryRJs2fP1rp16yRJ8+bNy7bvoEGDdMMNN2jt2rVut3/00Ud6/vnnlZycrMaNG6tNmzaKjIzUuXPntHv3bn311Vc6fPiwbrvtNs2ePVt16tRxu5+YmBgdOXJEu3bt0rhx4yRJTz75pO644w5Hm+PHj2vFihX67rvvJEnNmzfX119/rZIlSzrafP/99zp8+HCW+3Fn7NixOnv2rCN8//zzz9q7d682bNig6dOnS5KCgoI0ffp0BQcHq3PnzipWrJgk6ciRI4qJidGFCxfUv39/Va5cWcOHD5ckp3b/VmvXrtXatWtVsmRJPffcc/+KWrL6eSxevLg6derk1D6711idOnU8/uwvW7ZMzzzzjOLj43XTTTepY8eOqly5sjIyMvTXX3/p66+/1t69e1WrVi3NmjVLzZs39/m4UAAMgAIhyUgyPXr0cLt98+bNplixYkaSqVChgjl27NiVLRAFJjY21pQrV87ccsst5p9//inocnKsR48ejp9vb0RFRZnmzZu73TZ8+HAjyYSHh5sVK1a4bXPu3DnzwgsvGEkmNDTUrF69Osvx1qxZ46hvzpw5btvMnj3b0eaee+7xeT+Xat68uYmKinJ5Pj093dx0002Ofb388sse9/H6668bm81m1q1bl+14/yavvPKKkeT262f1WnL6c2RMzl5jM2fONH5+fqZo0aLm448/dtsmIyPDvPHGG8bPz88UKVLEfPLJJzk5BBQwptkAV6lbbrlFL774oiTp0KFDmjp1agFXhCulcePGSkhI0ObNm1W6dOmCLqfAzJ49W+PHj1dQUJCWLVum1q1bu20XFBSkSZMmaciQIUpNTVWnTp20d+/eXI3dp08f3XXXXZKkpUuXevyvQV4ICAjQrFmzZLPZJEmTJk1SXFycS7uDBw9q5MiRio6O1u23355v9eDfY/ny5Xr22Wdlt9v12WefqXv37m7b+fn5adCgQZo6darS0tL0+OOP6+eff77C1cJXhHngKtalSxfHx998800BVgLkn759++qRRx5xem7v3r0aMGCAJKl///6qX79+tvsZM2aMKlasqJMnT+rxxx/PdV15/fp75JFH1LdvX7fbmjRpoujoaEnS+fPn1a9fP5c2AwcOVHBwsCZNmpTrWvDvl5KSokcffVR2u13dunVThw4dsu3Tr18/NWzYUBcuXNAjjzyitLS0K1ApcoswD1zFqlWr5vg4t2cagavV0KFDna4bkS7OLz9//ryki2HeG8HBwerTp48kKTY2Vt9//32u6srr19+TTz6poUOHetw+adIklSlTRpK0atUqffLJJ45tS5cu1aJFi/Taa6852gBZmTp1qv755x9JcvxhnB2bzaZnn31W0sULbj/++ON8qw95hzAPXMX8/f0dH6enpzs+vnwVg549e0qS5s+fr2bNmqlMmTJZrhKyfft29e7dW9dee61jVZBbb71VEyZM0OnTp7Ot68CBA3ruued0/fXXq1ixYgoJCdG1116rbt266YMPPlBqaqrHvnv37lXfvn1VvXp1hYSEKCwsTHXr1tXw4cN15MgRj/3OnTun1157TbfddpvCwsIUGBioyMhItW/fXtOmTVNycrLbfocOHXLUWrRoUQUHB6t69erq3r27FixYoHPnzmV7vJfytAJJ5vcg08GDB2Wz2XTttdd6tY+5c+e6XbFk7ty5eX5cqampGj16tG655RaFhoaqaNGiql69up544gn973//y9HXw1dz586VzWZzO33lzJkzmj9/viSpbt26qly5stf7ve+++xwfv/vuu7mq0dPrLycyv6eevo+XKlOmjCZMmOD4fMiQIUpJSdHZs2f17LPPqlmzZi4/Z7mxY8cO9enTR9WqVVNISIiKFSummjVr6tFHH9WCBQscf0y5k5v3kM8//1xt2rRReHi4AgMDVbp0ad1xxx0aOXKkdu7c6dQ287UyatQoSdL+/fu9fo14cvLkSX3wwQfq0qWLqlSpoqCgIBUvXlw33HCDBg8erIMHD7rtlx+15KfZs2dLuvhz1bRpU6/7dezY0THlK7evIVwhBT1pHyislM0FsMYYEx8f72hXvXp1x/Pz5s0z8+bNM7Vq1XLso1+/fqZGjRpm3Lhx5p133jHt27c3klwuLJw8ebLx9/c3AQEBplevXmb27Nlm8uTJ5tZbbzWSTKVKlcz27ds91vTZZ5+Z4OBgI8l07drVzJw507z55pvmscceM/7+/kaSKVGihNmzZ49L33nz5pkiRYqYgIAAEx0dbd59910zdepUc/fddxtJJiwszHz//fcu/VJSUkzdunWNJNO0aVMzadIk8+6775r//Oc/JjIy0kgyRYoUMYcOHXLqt3XrVlOqVCnj7+9vHnzwQTNlyhTz9ttvm759+5qQkBAjydxwww0ej9Wd2NhY8+GHH5rAwEAjyXTr1s3MmzfPxMbGOrWbMWOG43v3+++/u+xj3rx55qabbjLXX3+9mTdvntm7d69JTEx0fG+VxQVxuTmurVu3mvLlyxtJplWrVmbatGlm9uzZpmfPniYgIMDYbDbz+uuv5+hrcjlvLs6bM2eOkWTWrFnjsm3FihWO/j179szR2GlpaY7vTfny5d228faCw7lz5zra9e7d26f9ZLbx9sJGu91umjRp4thvv379zEsvvWQCAwPNjh07vNqHN9544w3H+0B0dLR55513zGuvvWY6derkGDs8PNycOnXKpW9u3kN69eplJJlrr73W/Pe//zXvvvuuGTdunGnQoIFj3M8//9zRPvO10rlzZyPJXHPNNY7XSOZj7969OTr2zPeS4sWLmwEDBphZs2aZsWPHmmbNmhlJpmTJkm4vMM6PWozJnwtgd+/e7dh+55135rimqKgoI8kEBAS4/RnA1YUwDxQQb8L8Bx984Gj31FNPuWxv3ry5Y7WbO+64w5w9e9axLSMjw9SoUcMpzGcGKH9/f7N8+XKnfWVkZJjHH3/cSDJly5Y1R44ccRlv9erVxs/Pz0gy77//vsv29evXm6CgICPJbNmyxWnbypUrjc1mM35+fm5XJRkxYoQj0MfHxzttGzZsmJFkOnbs6NIvNTXVXH/99UaS2bdvn9O2Ro0aGUluw+m2bdtMSEiIzytStGzZ0kgyd999t9vtbdq0cXzvxo4d67L9/PnzpkSJEmbkyJFu+2f1y93X40pISDDh4eFGkhkxYoTL9hUrVji+v1999ZXburxxadBITk52+5g2bZrHMD9+/Pgsv3bZqV69uqN/QkKCy3Zvw1Pm60GS+fTTT7Pcz7Rp09we59dff52jkGbMxT+4Mv8w9vPzM4GBgWb48OFe989O5vtAQECA29fil19+6Tiu48ePu+3ry3vI8uXLjSRTsWJFc+LECadtdrvdPPbYYx6/Vnm5gswNN9xgSpQoYXbu3OlxnLJly3oMsfm5mo2nn6PLHw899FCWYf7TTz91bO/Tp0+Oa8o8wSLJ/Pzzz7k9ROQzwjxQQLIL8ykpKY5QEhQUZOLi4lzaZIZ5SWbbtm0u22fMmGHGjx/v2F9oaGiWZztPnDhhwsLCjCQTHR3ttO3ChQvm2muvNZJMy5YtPR7X008/7RLmL1y4YKpWrWokmccff9xtv/T0dFOhQgW3v3xuueUWxy86d959912XMH/ixAmPZ8Yzde/e3edfyG+++aaRZAIDA01qaqrTtpMnT5qgoCDHWfLbbrvNpf/KlSuNJPPbb7+53b+nsJmb48oMS1WrVjUXLlxw2/eBBx4wkkzNmjWN3W532yY7l4b57B7uwvzgwYOdwk1O1atXL8uvkTdhfsuWLaZIkSJGkqlRo4ZJT0/Pcj/ZPXIS5o0xZtCgQY6+wcHB5uTJkznq78mJEycc7wNPPPGEx3Zt27Z1CfO5fQ/JPKauXbu67fvnn39esTDft29ft9suXLhgKleubCSZ9957z22b/AzzvjzceeuttxzbhwwZkuOaunTp4ui/ZMmS3B4i8hlz5oECdv78eR09etTx+Pvvv7Vo0SLdfvvt2rNnjwICAvTBBx/ouuuu87iPGjVq6KabbnJ5/plnntGwYcMkSR9//LFjLrun5cnCwsLUvn17SRfn319699Hly5frr7/+kiSXlUcu1alTJ5UpU0YBAQFOffft2ydJevDBB932CwgIUMuWLSVJn332mex2u2Nb5l04f/rpJ7d9u3TpopiYGJUrV87x3KX9PfUbNWqUY252TnXs2FHSxbnUK1ascNq2fPlypaWlOS52/PXXX12uB1i8eLEqVKigevXq5WhcX4/r+PHjWrBggSSpW7duTvPBL9W2bVtJ0u7du7V58+Yc1eZOTEyM28cLL7zgsc+l11wULVo0x2Ne2ie7OyifOnXK6fW3Z88ezZgxQ3fffbfS0tIUERGhhQsXOv08u/PCCy+4Pc7XX389x/VLF7+HxYsXl3TxepGPPvrIp/1c7tL3gaxex127dlWZMmXk5/d/MSG37yGZr+PffvtNZ8+edelbrVo1xcTEqE2bNjk7qBxauXKlJk6c6Habv7+/6tatK0mOmzJdSZ5+ji5/eFqmNdOVfA2h4GX97gQg3y1YsMARsi7l5+enFi1aaOzYsWrUqFGW+7j++uuzHefSlT2yWuavfv36+uSTT5SWlqbY2Fjdc889kqQ1a9Y42mQVQNu0aaOjR486PXdp34oVK7psz1SqVClJF38RxcXFqVatWpKkpk2batu2bfrss8904cIFvfDCC7rtttsc/UqXLq27777bZV/XX3+9du3apYEDB+qvv/5S3759VbVqVUebatWqOa1YkhPVqlVz7H/JkiXq1q2bY9vixYvVsGFD9e7dWyNHjpQxRt9++62eeOIJR5slS5Z4tVTc5Xw9rvXr1zsu4qxatarH70FmgJSkjRs3erUkZFYu/75k8nSRoSSFhoY6PnYX+rJzaZ+wsLAs2/bv39/tajkhISHq0aOHY7nL7NSuXdvtsWb3R4AnS5cu1alTpxyfjxgxQvfff7/Cw8N92l8mb1/HvXv3Vu/evZ2ey+17SNOmTfXWW28pPj5eTZs21csvv6wOHTooMDBQ0sUL+z39vOSlyMhIp89PnTql8+fPyxgj6f+CbGJiYr7XcjlPP0eXy26VmSv5GkLBI8wDBax169ZOZyltNptCQ0N13XXXOd1CPiuXvnF7krm0XubKE55UqFDBpc/lH1/+y9DbsSXp5ptv9qrPkSNHHGF+5MiRWrdunbZv366FCxdq4cKFqlq1qjp37qxu3bqpcePGbvfx7rvvqmPHjjp+/Lhee+01vfbaa2rYsKE6d+6sBx54wG2QP3TokNtffoGBgYqKinJ6rmPHjtq1a5eWLl0qu90uPz8/ZWRkaOnSpXruueccZ943b96sxYsXO8L877//rv379zvO7ueUL8d16ffgmWee0TPPPJPtOFmtLpSfLg2svpwVvPSsZHbh94UXXnA6y+nv76/SpUvr+uuvV5EiRXI8dl44ceKEnnvuOdWuXVvnz5/X3r17dfz4cQ0dOlQffPBBrvZ96fuAt+8v7vr68h5y//33a9GiRfrss8+0ZcsWdenSRaVKlVKHDh3UtWtXtWvX7op8zY0xmjdvnubMmaONGzd6XH0npytdXU2u5GsIBY8wDxSw8uXL5/ps1KX/Cvck8yxfcHBwlu0u3X7pG/qlZwmz24ensaWLN9/x5t++N954o+PjiIgI/frrr3r77bf19ttva8+ePdq3b5/eeOMNvfHGG7rxxhv15ptvunwdM8/ov/nmm5o7d66OHTumjRs3auPGjXrppZd0zz336K233nIKv927d9cPP/zgUk9UVJTi4+OdnuvYsaMmTZqko0eP6ueff1bTpk21fv16/fPPP7r33nslSR06dNDmzZu1atUqnT17ViEhIVqyZImKFi3qmFaUU74c16Xfg9GjR3v8A+hSVapU8ak+b/Ts2dPjMou33HKL4+M9e/bkaL8XLlxwfJ8qVaqksmXLZtne2zOhvrrzzjsdZ3y9NWzYMCUlJemrr77SqVOn1KpVK0kXl/Ps06ePV987T7x9H8hNX0/vITabTQsWLFC3bt301ltvad26dTp+/LjmzZunefPmKSIiQiNGjPD6vgK+uHDhgrp06aIlS5YoMDBQvXr1UpMmTVS+fHnHcoyvvfaaVq5cmW81XAm5eQ1J0p9//ilJKlKkiOrUqZNndSF/EOaBQqJEiRKSsj/bdOn2S/+9mtk/s403/w1w1/fWW291mtvurZCQEA0ePFiDBw/Wr7/+qs8++0zz58/XkSNHtH37drVp00bLly93BJ9MFStW1OTJkzVhwgStXLlSn376qRYtWqSzZ89q6dKl+vXXX7V9+/ZsQ587jRs3VpkyZfTPP/9oyZIlatq0qb755htVrlzZ8QuwY8eOGj16tM6cOaNVq1apY8eOWrJkiVq1auVToPL1uC79Hlx33XVXZDqDr26//XYFBgYqPT1dW7duzVHfnTt3OqYTtWjRIh+qy1/r16/X7NmzNWDAAMf0ukcffVQff/yxjDF65plntGnTJo/XPGTH2/eB3PT19B6SqVu3burWrZvi4+P12Wefad68edqxY4eSkpI0YMAAJScna/To0TmuzxszZszQkiVLJEmffvqpunbt6tLm33CjpJo1ayoyMlKHDx/W77//7vjPoTdOnDih/fv3S7r4HhcSEpKfpSIPcAEsUEhUr15d0sW5kJdelHa5Q4cOOT6+9MxuZn9JOnz4sE9jSxdvOJVbt956qyZPnqwDBw7otddek81mk91u14gRIzz2CQwMVPv27fXxxx/rwIEDjgv4jh49qjfeeMPRbu3atTIXV/pyelx+Vl66OCWjXbt2kqRvv/1W0sW58JdOn6lfv77Kly/v2JaUlKRff/3V5yk2vh5XXn8P8lOxYsUcx7F169Ys59df7ptvvnF8/NRTT+V5bfkpPT1dTz31lKKiojR27FjH82+++abjrq9bt27VzJkzfR7D2/eB3PT19B5yuSpVqmjo0KHavn27vv32W5UuXVqSNGHChHy76PKLL76QdHGqoLsg/2+SeVflo0ePKjY21ut+S5Yscfw3yWqvocKKMA8UEnfddZfj499++81ju8wVTIoUKaImTZrkuP/q1avVrVs3zZs3z23fDRs2eOx7/vx5lSlTRmXKlHG64+bkyZNdVozJrPH55593XHy6fft2x7YTJ05oxIgRiouLc+l3zTXXaM6cOY65/5f2y6nMUL5jxw4tXbpUf/75p1NQt9lsjgtdv/32W8cvyswVP3LK1+Nq0qSJYz5yVt8DSbrnnnsUEBCgjRs3+lRjXhgxYoSCgoJkjNH06dO96nPu3Dm99957ki5eiJ2b6Sj54ZNPPlGHDh2UlJTkdvukSZO0Y8cOzZ49W8WKFXM8f8011zitivPyyy973Ed2vH0df/rpp+rWrZvT6y637yGLFi3SrFmz3PZp3769Xn31VUkX/6i5/Oc7cwpMbmV+3S6d13+5S6ekuZNXteS35557zvFHoLevIenify+ki1PQPK0+hqsLYR4oJLp37+74l/cnn3zitk1qaqrjDPOjjz7q9C/yNm3aOM6yeeovXfylsXDhQsfZ6Mv7fvjhhx77fvnllzp27Ji6dOniWOFCkqZNm+YIae5kjnXpBX0nTpzQ2LFjFRMT47ZPYGCgrrnmGpd+OdWmTRtHrf3791eJEiWcQo/0f4E/ISFB48aNU8OGDX2aaiT5flwlS5Z0nO1evny5x4tb9+/fr5UrV6patWpq0KCBTzXmhWrVqmnatGmSpKlTp2rLli3Z9nnllVd04MABlS9fXnPmzMnvEnMsLi5O3333nc6cOeOybc+ePRozZox69uzpMlVMuniNQea0oZSUlCyX9syKN+8D0sU/LBYtWuS0SlJu30MWL16s//73vx7HvPQ94/LXZOZ1Npf+kS9JDzzwQI7mdGeOsXfvXqdlXjMZY7Kd2pVXteS3sLAwzZ8/X35+fvr888+1dOnSbPu8/fbb2rBhg4oVK6bPPvvM66k5KGAFsbg9AO/uAJudzJtGebuPzNvTBwQEmJUrVzpty8jIMNHR0R7v3miM8x1g3d3Y5YsvvjCSTOPGjbPs++qrr7ps3717tylTpowpUaKEyx1go6KiTJEiRczGjRtd+h07dsxxQ6qBAwc6nt+3b5+RLt42/vK7WBpjzMaNG01AQICRcne3U2P+726w8nBDnDNnzjhuIOXp+C+X2fbyr3NujisxMdGULVvWSDLt27c3586dc9qemppqmjRpYiSZhQsXZlujJ9ndaj4nMu8MXLZsWRMTE+O2zfnz5x13CQ4PD3f7c3Ipb+8Am52c7ifzZkOX36nYmIs/Q+XKlTPHjh3z2D8uLs4EBwcbScZms5l169b5VPel7wPuvqavvfaakWQeeuihLPvm9D0k8+di6tSpLvu12+2mc+fORpK5+eabXbZ/9dVXjnEz73R97tw5U6pUKVOjRg2vj33q1KmO79m4ceM8Hrskp7tn50ctmXz5eczJa2zWrFnG39/fFCtWzO2djI25+L2bMmWKo913332Xk0NAAeMCWOAK2rZtm7Zt2+b03F9//eW44KpatWpeTQ34+uuvderUKcfZ1Uv3UadOHY9nh3r06KF//vlHL774ou655x716NFDjRo10qlTp7RgwQJt2LBBlSpV0tKlSxUREeHSv0WLFvrkk0/Us2dPRUdHa+nSpWrRooXOnz+vn376SQsXLtS1117rdt38S/u+/PLL+v7773XfffepSJEi2rZtm+bOnavAwEB9+eWXLktAlihRQvv371fTpk318MMPq27duipWrJj27dunefPm6eDBg2rSpInj3/TSxX/xBwUF6a+//lL16tXVo0cPXXfddcrIyNDvv/+ujz/+WBcuXNCzzz6rTp06Zfs1z0rHjh21evVqx8eXCwkJUcuWLR1nLD3Nlz9y5IjLGfeff/5ZAQEBKlu2rFq1apWr4ypbtqxWrVqle+65R999953q1Kmjxx57TOXKldPevXv14YcfKjExUWPHjlWXLl1y9DU4ffq0vvrqK0ly3FxMcr6YsHPnzk7TR7zx6quvqmbNmhoyZIhatWqlJk2aqE2bNoqMjNS5c+e0e/duffXVVzp06JDuvPNOffDBB05nky8VExOjI0eOaNeuXY7nMr++0sWpSNdee222NS1cuFD79u1zWnZx+fLlHtfuz3T5vOWff/5Ze/fu1a5du7R69Wp1795d3333neN77a5tkyZN9P3338sYo759+zpuTJaTr+2l7wPt2rXT448/rkaNGiklJUUxMTFauXKlGjRooLfffjvLvjl9D8m8gHbgwIH67rvvdNdddyk8PFxJSUlatGiRNm3apHLlyrm9kVurVq1UtmxZHTlyRI8++qhat26tb775RsePH9eLL77o1XFLUt++ffXtt98qJiZGL730kn766SfdfffdstlsWrVqlWJiYlSlShXFx8fryJEj+vjjj1W8eHGn11Je1ZLVz+PlY0rZv8Y8vfc/9dRTqlKlivr27auHH35YEyZMUIcOHVS5cmVlZGTor7/+0tdff609e/bolltu0fvvv++0Gg4soKD/mgAKk8wzc54e3p5hj4qK8riPV155Jdv+v//+u3niiSdMlSpVTFBQkAkNDTUNGjQw48aN8+q28fHx8WbAgAGmZs2apmjRoiY4ONjceOON5r///a9JSUnJcd9atWqZgQMHmv3797vtc+7cObNgwQLTvXt3U6tWLVO0aFHj7+9vypQpY1q0aGFmz55t0tPTXfolJyebadOmmQ4dOpjKlSuboKAgU6RIEVOxYkXTtWtXs2LFimyP1Rt79+41koyfn59JSkpy2+add94xkkzlypU97ier27pfepYwt8d18uRJM378eNOwYUMTGhpqAgMDTcWKFc3DDz9sfv75Z5++Bpn/Mcjq4e6MtLdSU1PN9OnTTbt27UylSpUcP7c1a9Y0ffr0cTlL7E7mf7I8Pbw9K9qmTZtsj9Wbr8OlZ1c9fa8zeWqbm6/t9u3bzRNPPGGqVq1qgoKCTLFixUyDBg3M66+/bs6fP59lX1/fQ9asWWP69+9v6tWrZ0qWLGn8/f1NiRIlTP369c0rr7xi/vnnH499//e//5k2bdqY0NBQExISYm644QYzbdo0k5GRkaPjTk9PN1OmTDENGjQwRYsWNUWKFDFRUVHm8ccfN9u2bXP5WkdFReVLLVn9PLobM7vXWHbv/efPnzdz5swxXbp0MVWqVDEhISGmWLFiplq1aqZ79+5m4cKFxm63e10/rh42Y3K4AC4AAACAqwJXNgAAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiuGlUIWS323X48GGVKFFCNputoMsBAADAZYwxOnnypCIjI+Xn5/n8O2G+EDp8+LAqVapU0GUAAAAgG3///bcqVqzocTthvhDKvKX233//rdDQ0AKuBvnFbrcrOTlZ4eHhWf5FDwCwFt7fC4fU1FRVqlTJkds8IcwXQplTa0JDQwnz/2J2u13nzp1TaGgob/YA8C/C+3vhkt2UaH4CAAAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgvRGbMmKHatWurYcOGBV0KAAAA8gBhvhDp16+fdu7cqY0bNxZ0KQAAAMgDhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYVEBBFwAAAKzLZivoCgojP0nlCrqIQsmYgq7AFWfmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwqICCLgA5Fx8fr3r16qly5cpOz1euXFmLFy8uoKoAAABwpRHmLeree+/V3LlzC7oMAAAAFCCm2QAAAAAWZdkwP2jQINlsNlWpUqWgS3ERGxurmjVrymazKT4+vqDLAQAAwL+UJcP8hg0b9NZbbxV0GS7Onj2rIUOGqFmzZoqLi8tR3+XLl6tVq1YqXbq0ihUrpnr16mn69Omy2+1u28fFxalz586qV6+ebrjhBvXv319JSUl5cRgAAACwCMuF+bS0ND3xxBOqWLFiQZfiZO/evapbt64WLlyoZcuW5ajvxIkT1a5dOwUHBysmJkZbtmxRq1at1L9/f3Xq1EkXLlxwau/v76+MjAxNmDBBmzdvVkxMjLZu3arGjRvr+PHjeXlYAAAAuIpZLsyPGzdOhw4d0oQJE3zex969e/O0nSTt2LFDLVu21Pbt29WqVSuv+61bt07Dhg1T7dq1tWjRItWvX181atTQxIkT1adPHy1ZskQTJ0506lOpUiVt2LBBNWvWlCRFRkbq3Xff1V9//aWZM2d6PTYAAACszVJhfseOHRo/frxef/11lS9f3qd9DB06VHXr1lVsbGy27W6++WatX7/eq/22b99eM2fOVPHixXNUz8iRIyVJ/fv3V2BgoNO2IUOGSJImTZqks2fPZrmfWrVqKTQ0VL/88kuOxgcAAIB1WSbM2+12PfHEE7r99tv1xBNP+LyfW2+9VefOnVPbtm09Bt+XXnpJkyZNUmRkpKpWrerVfv39/XNcS3JystauXStJatmypcv2mjVrqmLFikpNTXWaupOSkqK0tDS3NWRkZOS4DgAAAFiTZcL81KlTtW3bNs2ePTtX++natavmz5+vM2fOqE2bNtqwYYPT9pdfflnjx49XtWrVtGbNGkVGRuZqvKxs2rRJdrtdgYGBqlatmts2tWrVkiRt3LjR8dzAgQO1aNEip3b79+/X8ePHVbdu3XyrFwAAAFcXS4T5ffv2acSIERo9erTH0JsTDzzwgD766COdOnVKbdq0cQTlkSNHasyYMbr22mu1du1aVahQIddjZSVzTn54eLj8/Nx/KzKnE10+f//11193rF5z+vRp9evXT2XKlFG/fv08jjdjxgzVrl1bDRs2zIvyAQAAUMAsEeb79Omj66+/XoMGDcqzfT7yyCOaO3euTp48qdatW+vpp5/WqFGjVLVqVa1du/aKrJaTmpoqSQoJCfHYpmjRopIuTq3JNHjwYDVo0EAtW7ZUnTp1VLNmTQUHBys2NjbLP0D69eunnTt3Op3lBwAAgHUFFHQB2Xn//ff1ww8/aNOmTT7NS8/KY489poyMDPXq1UvvvPOOoqKitGbNGlWqVClPx8lrderU0axZswq6DAAAABSwq/rMfEJCgp5//nm9+OKLuvnmm/NljKSkJBljJElnzpzRqVOn8mUcd0JDQyUpy5Vqzpw5I0kKCwu7IjUBAADAOq7qML9y5UqdOHFCb775pooXL+70aNeunSTpwIEDTs/nxOTJkzV06FBVqFBBr776qo4ePaoWLVpox44d+XE4LjLn/ycnJ3u802tCQoJTWwAAACDTVT3NpkuXLmratKnbbRs2bNCjjz6qyMhIx/KOOTFlyhQ9//zzqlChgtauXavq1aurbNmyeuqpp9SiRQutWbNGtWvXzuURZK1+/fry8/NTenq69u7dq+uuu86lzR9//CFJXLQKAAAAF1d1mC9RooRKlCjhdtvBgwclSQEBAapevXqO9jtt2jQNGjRIkZGRWrNmjaN/nz59ZLfb1bdvX0egv/7663N3EFmIiIhQ8+bNtWbNGq1evdolzO/evVsHDx5UiRIl1LZt23yrAwAAANZ0VU+zyQ8zZ87UgAEDVL58ea1Zs8YlQD/11FOaMWOGjhw5ohYtWjjOjOeXV155RZI0ffp0XbhwwWnb5MmTJUkvvPCCY1UbAAAAIJPlwnxycrISExN17NgxSVJGRoYSExOVmJjo1cWraWlpjiBfo0YNt2369u2r6dOnyxjjErC9qS0xMTHL5y7VvHlzjR07Vjt27FDnzp21efNmxcXFadiwYXr33Xd1zz33aPjw4V7XAAAAgMLDZjKXcrGIKlWqaP/+/W63vfLKKxo5cmS2+0hJSfFqdZgTJ06oZMmSeVKbJGX1pV62bJkmT56sTZs2KT09XTVq1FB0dLT69euX50typqamKiwsTCkpKY4VdfDvY7fblZSUpIiICI83JQOA3LLZCroC4Mq5kqnZ27xmuTCP3CPMFw6EeQBXAmEehcnVGOb5DQ8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRAQVdAHIuPj5e9erVU+XKlZ2er1y5shYvXlxAVQEAAOBKI8xb1L333qu5c+cWdBkAAAAoQEyzAQAAACyKMJ8PYmNjVbNmTdlsNsXHxxd0OQAAAPiXskSYT0xM1Pvvv68uXbooKipKQUFBCgkJUY0aNfTUU08pLi6uoEuUJJ09e1ZDhgxRs2bNclzT8uXL1apVK5UuXVrFihVTvXr1NH36dNntdrft4+Li1LlzZ9WrV0833HCD+vfvr6SkpLw4DAAAAFiEJcJ8hw4d1Lt3b4WGhuqTTz5RXFyc1q1bpw4dOmj27Nm65ZZb9NNPPxVojXv37lXdunW1cOFCLVu2LEd9J06cqHbt2ik4OFgxMTHasmWLWrVqpf79+6tTp066cOGCU3t/f39lZGRowoQJ2rx5s2JiYrR161Y1btxYx48fz8vDAgAAwNXMWED9+vVN+/bt3W7r0aOHkWRatmzp9f727NmTp+2MMeabb74xffv2NSdPnjTGGCPJSDL79u3Lst+PP/5oJJnatWubtLQ0p219+vQxksyYMWOyHX/Xrl1et01JSTGSTEpKSrZtYV0ZGRkmISHBZGRkFHQpAP7FJB48Cs/jSvI2r1nizPy4ceP0+uuvu91Wv359SfJ6isnQoUNVt25dxcbGZtvu5ptv1vr1673ab/v27TVz5kwVL17cq/aZRo4cKUnq37+/AgMDnbYNGTJEkjRp0iSdPXs2y/3UqlVLoaGh+uWXX3I0PgAAAKzLEmG+devWqlWrltttmeG1VatWXu3r1ltv1blz59S2bVuPwfell17SpEmTFBkZqapVq3q1X39/f6/aXSo5OVlr166VJLVs2dJle82aNVWxYkWlpqY6Td1JSUlRWlqa2xoyMjJyXAcAAACsyRJh/nLp6emKi4vToEGD9Mknn6hLly4aM2aMV327du2q+fPn68yZM2rTpo02bNjgtP3ll1/W+PHjVa1aNa1Zs0aRkZH5cQiSpE2bNslutyswMFDVqlVz2ybzj5iNGzc6nhs4cKAWLVrk1G7//v06fvy46tatm2/1AgAA4OpiuTD/8MMPKygoSDVr1tSSJUv09ddfa+HChQoJCfF6Hw888IA++ugjnTp1Sm3atHEE5ZEjR2rMmDG69tprtXbtWlWoUCG/DkPSxYtmJSk8PFx+fu6/FeXLl3dqm+n11193TC06ffq0+vXrpzJlyqhfv375WDEAAACuJpYL82+++aZ27typFStWqEmTJurUqZMeeOABnThxIkf7eeSRRzR37lydPHlSrVu31tNPP61Ro0apatWqWrt2rSpWrJg/B3CJ1NRUScryD5GiRYtKuji1JtPgwYPVoEEDtWzZUnXq1FHNmjUVHBys2NjYLP8AmTFjhmrXrq2GDRvm0REAAACgIAUUdAE5Va5cOZUrV061atVS69atFR4erjfeeEP79u3TL7/8kqO564899pgyMjLUq1cvvfPOO4qKitKaNWtUqVKlfDyC3KtTp45mzZqV4379+vVTv379lJqaqrCwsHyoDAAAAFeS5c7MX27kyJEqUqSINm3apCVLluS4f1JSkowxkqQzZ87o1KlTeV2iR6GhoZKU5Uo1Z86ckSTCNwAAAFxYPsyXKFFCVapUkST9/PPPOeo7efJkDR06VBUqVNCrr76qo0ePqkWLFtqxY0c+VOoq86LX5ORkj3d6TUhIcGoLAAAAZLrqw/zhw4c1a9asLJdcLFasmCS5Xa7RkylTpuj5559XhQoVtHbtWo0YMULvvPOOkpOT1aJFC+3cuTPXtWenfv368vPzU3p6ussFrpn++OMPSWKeOwAAAFxc9WE+Li5Offv29Rh2M5eplKTq1at7tc9p06Zp0KBBioyM1Jo1axz9+vTpo7ffftsR6Hft2pU3B+FBRESEmjdvLklavXq1y/bdu3fr4MGDKlGihNq2bZuvtQAAAMB6rvown8nTBZ+vv/66Tp8+rWLFiqlr167Z7mfmzJkaMGCAypcvrzVr1ui6665z2v7UU09pxowZOnLkiFq0aOE4M55fXnnlFUnS9OnTdeHCBadtkydPliS98MILjlVtAAAAgExX/Wo2AQEXS5wyZYqOHTum6OhoVa5cWYcOHdInn3yiWbNmKSgoSHPnzlW5cuWy3V9aWpojyNeoUcNtm759+8put+vVV191CdhZSU5OdpkOlJycrODgYElyW1/z5s01duxY/ec//1Hnzp01atQoFS9eXB988IHeffdd3XPPPRo+fLjXNQAAAKDwsJnMpVyuYps3b9ann36qH3/8UX/++adSU1MVFBSkqlWrqkWLFurfv7/LGfaspKSkeLU6zIkTJ1SyZEmv91ulShXt37/f4/asvtTLli3T5MmTtWnTJqWnp6tGjRqKjo5Wv379crTcpjcyl6ZMSUlxrKiDfx+73a6kpCRFRER4vCkZAOSWzVbQFQBXzpVMzd7mNZ/D/I8//qgmTZo4zpzDOgjzhQNhHsCVQJhHYXI1hnmff8PfddddOn78uK/dAQAAAOSSz2HeGKMOHTrogw8+cNzYCAAAAMCVk6v/vderV0//+c9/VL58eT355JPatGlTXtUFAAAAIBu5CvOjRo3S33//rTlz5ujQoUNq1KiR6tatq5kzZyolJSWvagQAAADghs9hft++fQoPD1dAQIC6dOmi7777TvHx8erSpYtee+01RUZGqmfPnvrpp5/ysl4AAAAA/1++LE1pjNGXX36pJ598UqmpqapRo4b69Omjxx9/XNdcc01eD4ccYjWbwoHVbABcCaxmg8LkX7WajSfr169XdHS0oqOjlZKSImOMEhMTNWvWLFWsWFEPP/ywtm/fntfDAgAAAIWOz2He399fSUlJkqSjR49q8uTJql27tpo1a6aPPvpIZ86c0R133KEPP/xQCQkJiouL06pVqxQQEKBbb71Vn3/+eZ4dBAAAAFAY+XzHJ2OMYmJi9M0332jx4sVKT0+XMUYRERF6/PHH1bt3b9WoUcOpz+23367bb79d9957r/7zn//ogQceyPUBAAAAAIVVrm7f+vjjj8sYIz8/P7Vp00a9e/fWvffem+1dYW+++WYdOHAgN0MDAAAAhV6uwnylSpUUHR2tXr16qVKlSl71iYmJ0fDhw1WmTJncDA0AAAAUerkK87/++qsiIiJy1OfMmTNq3LixrrvuutwMDQAAABR6Pof5OXPmKCwsLMf97rvvPt13332+DgsAAADg//N5NZsePXooLi5O27Zt044dO1y2f/vtt0pMTMxVcQAAAAA88znM//TTT6pbt65uueUWNWvWzGX71KlTFRUVpXfffTdXBQIAAABwz+cw/+mnnyowMFBjx451e2b+gw8+0HPPPae+fftq9erVuSoSAAAAgCuf58yvW7dOL7/8soYNG+Z2e6VKlTRx4kT5+flp0qRJatmypc9FAgAAAHDl85n5v/76S/fee2+27R5++GH9/vvvvg4DAAAAwAOfw7zdbleJEiWybRcaGqoTJ074OgwAAAAAD3wO81FRUVq5cmW27VauXKmoqChfhwEAAADggc9h/r777tOLL76oRYsWeWzz5ZdfaujQoerUqZOvwwAAAADwwGaMMb50PH78uOrWrauDBw+qfPnyatCggcLDwyVJycnJ2rRpkxISElSpUiVt2bJFpUqVytPC4bvU1FSFhYUpJSVFoaGhBV0O8ondbldSUpIiIiLk5+fz3+0AkCWbraArAK4c31Kzb7zNaz6vZlOqVCmtWrVKXbt21fbt27V48WLZ/v8rOvPvgxtvvFELFy4kyAMAAAD5wOcwL0nXXXedtm7dqm+++UYrV67U/v37JV2cT9+6dWvdd999nBEEAAAA8kmuwrwk+fn5qXPnzurcuXNe1AMAAADAS/l+2vz06dMaPXp0fg8DAAAAFDr5HuZPnTqlUaNG5fcwAAAAQKGTq2k2hw8f1ty5c7V161YdP35cGRkZLm3S0tJyMwQAAAAAD3wO87/++qtatWqlU6dOKbvVLW2sWwUAAADkOZ/D/NChQ3XhwgU999xzuu2221S6dGkFBga6tPvnn390//3356pIAAAAAK5ydWZ+2rRp6tWrV5btjhw5ku2ZewAAAAA55/MFsEWKFNFdd92VbbuyZcvKbrf7OgwAAAAAD3wO83fccYf+/vvvbNulp6frxx9/9HUYAAAAAB74HOYnTJig//73vzp06FCW7Y4dO+bVGXwAAAAAOePznPkvv/xSFSpU0LXXXquWLVuqevXqKlOmjMvKNadOncp1kQAAAABc2YyPV6f6+fnJZrNleXFr5nabzeZ2DXoUjNTUVIWFhSklJUWhoaEFXQ7yid1uV1JSkiIiIuTnl+/3hwNQSLH6NAqTK7mmi7d5LVc3jRo8eLCKFy+eZZuTJ0/qzTffzM0wAAAAANzI1Zn5xMRERUREZNkuMTFRkZGRrGhzFeHMfOHAmXkAVwJn5lGYXI1n5n3+DT9v3jyVLFky23ZlypTRmjVrfB0GAAAAgAc+T7Pp3r27V+0CAwPVvHlzX4cBAAAA4EGu//d+7tw5zZs3T08//bQ6duyoxMRESdLnn3+uf/75J9cFAgAAAHAvVxfArl27Vo888oiOHDniWLXmzJkzkqTx48crOjpa8+bNU5cuXfKkWAAAAAD/x+cz83FxcerQoYOOHDmiRo0aqXv37goMDHRs/+qrr/Twww/rwQcf1JYtW/KkWAAAAAD/x+cz8+PHj1dYWJhiY2NVp04dSdLXX3/t2F6lShW99957ysjI0MSJE7VgwYJcFwsAAADg//h8Zv7777/Xm2++6QjynvTt21cbN270dRgAAAAAHvgc5hMTE1W/fv1s25UrV06HDx/2dRgAAAAAHvgc5sPCwrR///5s2+3YscOr9egBAAAA5IzPYb5JkyYaNmyYzp4967FNamqqRowYodtvv93XYQAAAAB44PMFsM8//7yaN2+ua6+9Vr1791b9+vVlt9u1efNm7dixQ7/++qs++OADJSUl6e23387LmgEAAABIshljjK+d33rrLQ0ePFiedmGz2TRt2jT17dvX5wKR91JTUxUWFqaUlBSFhoYWdDnIJ3a7XUlJSYqIiJCfX67vDwcAbtlsBV0BcOX4nppzztu8lqvf8AMGDNAPP/yge+65RyEhITLGyBijkJAQdejQQT/99BNBHgAAAMgnuboDrCQ1bdpUS5Yskd1u19GjRyVJ11xzDWcCAQAAgHzmc5hv0aKFJKl06dL68ssv5efnp4iIiDwrDAAAAEDWfD59vnbtWiUkJKhNmzZ5WQ8AAAAAL/l8Zj4gIEDz5s1TgwYN8rIeAAAAAF7y+cx8hQoVVKZMmWzb2e12HThwwNdhAAAAAHjgc5jv1KmTvvvuu2zbJScnq2rVqr4OAwAAAMADn6fZjB49Wu3atZO/v7969eqloKAgj21zsZQ9AAAAAA98DvP33Xef7Ha7nn32Wb344ouKiopSeHi4bJfdPSItLc3lOQAAAAC553OYX7t2rePj06dPa+fOnR7bEuYBAACAvJerm0YtXLhQpUuXzrLNP//8o/vvvz83wwAAAABwI1dhvmnTptneKOrIkSPMmQcAAADygc+r2axbt05nzpzRoUOHsmxXtmxZ2e12X4cBAAAA4IHPZ+abNWsm6WJYP3z4cJ4VBAAAAMA7Pp+ZN8aob9+++uOPP/KyHgAAAABe8jnMFytWTEOGDFFoaGhe1gMAAADASz6H+dq1a+v48ePZtjt9+rRGjx7t6zAAAAAAPPA5zA8YMECTJk3Ktt2pU6c0atQoX4cBAAAA4IHPF8Decccdio2NVaNGjfTss8+qVq1abu8Am5SUlOsiAQAAALjyOcxXqVLFEdx79OiRZwUBAAAA8E6ubhpVoUIF+fv7Z9kmIyMj27XoAQAAAORcrsL8pk2bsr0DbGJioiIjI3MzDAAAAAA3fL4AtmXLlgoKCsq2XdGiRZmGAwAAAOQDmzHGFHQRuLJSU1MVFhamlJQU7hPwL2a325WUlKSIiAj5+fn8dzsAZOmydS+Af7UrmZq9zWv5/hs+NTVVjz/+eH4PAwAAABQ6+R7mz549q/nz5+f3MAAAAECh4/MFsC1atPCqXVpamq9DAAAAAMiCz2F+7dq12bax2WwyxrjcSAoAAABA7uVqacpFixapVKlSTs8ZY5ScnKy9e/fqww8/1F133aUHH3wwV0UCAAAAcJWrMN+kSZMs15kfOnSoHn30UZ08eTI3wwAAAABww+cLYO12e7Y3jLLZbBo6dKjGjBnj6zAAAAAAPMj31WyKFCmi33//Pb+HAQAAAAqdXE2z8cbHH3+skJCQ/B6mUImPj1e9evVUuXJlp+crV66sxYsXF1BVAAAAuNJ8DvOjR4/2uC0jI0PHjx/Xpk2btGHDBi6AzQf33nuv5s6dW9BlAAAAoAD5HOZHjhzpWHoyK3Xq1NEbb7zh6zAAAAAAPMjVNJvBgwerePHiLs/7+/srLCxMdevW1e23317o1pmPjY1VdHS04uLitG/fPlWpUqWgSwIAAMC/UK7C/AsvvJDtijZ54cCBA/rwww+1fPly7dy5U6dOnVLp0qVVv3599erVS926dcv3Grxx9uxZjRgxQlOnTlVGRkaO+i5fvlyTJ0/Wb7/9pvPnz6tmzZrq1auXnnnmGfn5uV6nHBcXp86dO2v//v06f/68WrRooZdffvmKfD8AAABwdfB5NZslS5a43DAqP/zwww+qVq2axo4dqxYtWigmJka7du3SjBkztGfPHt1///165JFHZLfb872WrOzdu1d169bVwoULtWzZshz1nThxotq1a6fg4GDFxMRoy5YtatWqlfr3769OnTrpwoULTu39/f2VkZGhCRMmaPPmzYqJidHWrVvVuHFjHT9+PC8PCwAAAFczc5X76quvjCTz1ltvuWw7dOiQKVGihJFkZs+e7fU+9+zZk6ftjDHmm2++MX379jUnT540xhgjyUgy+/bty7Lfjz/+aCSZ2rVrm7S0NKdtffr0MZLMmDFjsh1/165dXrdNSUkxkkxKSkq2bWFdGRkZJiEhwWRkZBR0KQD+xSQePArP40ryNq/l6Mz8qlWr9NFHH+mjjz7SokWLPLZbsWKF3nzzTaWnp/v6N4YTf39/9ejRw+X5yMhIdezYUZL0+eefe7WvoUOHqm7duoqNjc223c0336z169d7td/27dtr5syZbq8hyMrIkSMlSf3791dgYKDTtiFDhkiSJk2apLNnz2a5n1q1aik0NFS//PJLjsYHAACAdXkd5s+fP69u3bopOjpaPXv21CuvvOKxbWJiooYMGaLbbrtNiYmJuSqwffv2OnbsmEJDQ91ur1ixoiTp2LFjXu3v1ltv1blz59S2bVuPwfell17SpEmTFBkZqapVq3q1X39/f6/aXSo5OVlr166VJLVs2dJle82aNVWxYkWlpqY6Td1JSUlRWlqa2xpyOlcfAAAA1uV1mF+xYoVSU1NVqVIlLVq0SP/73/88tm3Tpo2efPJJbd++XV26dMlVgYGBgR6DvCQlJCRIkm666Sav9te1a1fNnz9fZ86cUZs2bbRhwwan7S+//LLGjx+vatWqac2aNYqMjPS9+Gxs2rRJdrtdgYGBqlatmts2tWrVkiRt3LjR8dzAgQNd/jOyf/9+HT9+XHXr1s23egEAAHB18TrMx8TEKCwsTLGxserUqZPbFVYylStXTrNmzdLnn3+u3377TQsWLMiTYi934cIFxcTESJL69evndb8HHnhAH330kU6dOqU2bdo4gvLIkSM1ZswYXXvttVq7dq0qVKiQL3Vn2rt3ryQpPDzc49ezfPnyTm0zvf7660pKSpIknT59Wv369VOZMmWy/DrMmDFDtWvXVsOGDfOifAAAABQwr8P8b7/9pn79+uXoTHWnTp306KOP6tNPP/WpuOx88MEHSkxMVN++fXMcUB955BHNnTtXJ0+eVOvWrfX0009r1KhRqlq1qtauXeuYvpOfUlNTJUkhISEe2xQtWlTSxak1mQYPHqwGDRqoZcuWqlOnjmrWrKng4GDFxsZm+QdIv379tHPnTqez/AAAALAur9eZ//PPPzVu3LgcD/DII4+4vXg1t/bs2aPnn39ejRs39vkOs4899pgyMjLUq1cvvfPOO4qKitKaNWtUqVKlPK42b9WpU0ezZs0q6DIAAABQwLw+M5+SkqKoqKgcD1C1alUlJyfnuF9WEhIS1Lp1a1WvXl3Lli1TcHCwz/tKSkqSMUaSdObMGZ06dSqvysxW5rUAWa1Uc+bMGUlSWFjYFakJAAAA1uF1mC9RooTLzYu8kZGRkeU0kpw6fPiwWrZsqYiICK1evTpXIXfy5MkaOnSoKlSooFdffVVHjx5VixYttGPHjjyrNyuZF70mJyd7vOlV5gW+ni6QBQAAQOHldZiPiorStm3bcjzA//73P1WuXDnH/dzZv3+/mjVrpoiICK1atSpXd6CdMmWKnn/+eVWoUEFr167ViBEj9M477yg5OVktWrTQzp0786TmrNSvX19+fn5KT093ucA10x9//CFJXLQKAAAAF16H+RYtWmjmzJk5HuDtt992u4Z6Tv3555+64447VK1aNS1btszp5kzbtm1T27Ztvd7XtGnTNGjQIEVGRmrNmjWqXr26JKlPnz56++23HYF+165dua47KxEREWrevLkkafXq1S7bd+/erYMHD6pEiRI5Oj4AAAAUDl6H+SeffFI//vijhg0b5vXOX3zxRf3444965plnfCou044dO9SsWTPVq1dPixcvdpm2c+zYMa1YscKrfc2cOVMDBgxQ+fLltWbNGl133XVO25966inNmDFDR44cUYsWLRxnxvNL5s23pk+f7jKNafLkyZKkF154wbGqDQAAAJDJ69VsatSooUGDBmnSpElavXq1nn32WbVs2dJlCceDBw9q9erVmjZtmrZs2aJhw4a5BOac2L59u+666y4dPXpU8fHxatq0qUubkydPer2/tLQ0R5CvUaOG2zZ9+/aV3W7Xq6++mqPrBJKTk13uwJqcnOy4QLdcuXIufZo3b66xY8fqP//5jzp37qxRo0apePHi+uCDD/Tuu+/qnnvu0fDhw72uAQAAAIWHzWQu5eIFu92u7t2767PPPpPNZpN0cR30zItQU1JSHKuvGGPUs2dPvf/++462vpgyZYoGDRrkVVtvDyUlJcWrC2dPnDihkiVLerVPSapSpYr279/vcXtW9S1btkyTJ0/Wpk2blJ6erho1aig6Olr9+vWTv7+/1zV4IzU1VWFhYUpJScny7rqwNrvdrqSkJEVERGR5kzcAyI1c/IoHLMf71Jx73ua1HIX5TDNmzNCYMWN05MgRt9vLlSun0aNHq3fv3jndNa4AwnzhQJgHcCUQ5lGY/GvCvCSdP39eP/zwg3755RcdOXJENptNZcuWVePGjdWsWTMVKVLE5+KRvwjzhQNhHsCVQJhHYXI1hnmv58xfLigoSK1bt1br1q193QUAAACAXOB0HQAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYlM9h/sCBA8rqflMnTpzQQw89pNmzZ2fZDgAAAIBvfA7zVatWVXJyssftxhjt2rVLzzzzjF5++WVfhwEAAADggc9hPruz7aVKldL//vc/zZ8/X/Pnz/d1GAAAAAAe5Puc+QYNGighISG/hwEAAAAKnQBvG27btk1bt251eu7zzz9XaGioxz6nT5/WokWLVLZsWZ8LBAAAAOCe12H+q6++0qhRo2Sz2RzPDRw4MNt+xhiNGjXKt+oAAAAAeOR1mK9bt6569Ogh6WJAnzdvnu6//36FhIS4be/n56eSJUuqefPmuvfee/OmWgAAAAAONuPjupF+fn5KTExUREREXteEfJaamqqwsDClpKRkOU0K1ma325WUlKSIiAj5+XFLCQD545J/2AP/eldytXVv85rPv+HnzJmjsLAwX7sDAAAAyCWfw3yPHj0UFBSUbbvTp09r9OjRvg4DAAAAwIN8/9/7qVOnuAAWAAAAyAdeXwC7du1aLVq0SL169VLdunXVq1cvr/qdPXvW5+IAAAAAeOZ1mO/atatOnDihTZs2KTY2VnPnzvV6EBtXxwAAAAB5zuswP3jwYH366ad6+umnHc9NmTIl24tgT5w4ocGDB/teIQAAAAC38n1pyiNHjqh8+fKy2+0+FYi8x9KUhQNLUwK4EvjnOwqTf9XSlGvWrFHp0qWzbVe6dGmtWbPG12EAAAAAeOD1NJvLNW/e3Kt2GRkZ2r9/v6/DAAAAAPAg3//3npKSoujo6PweBgAAACh0fD4zL0lnzpzR119/ra1bt+r48ePKyMhwacPSlAAAAED+8DnMx8XF6e6779ahQ4eU3TW0LE0JAAAA5D2fw/yQIUN0+PBhderUSbfddptKly6twMBAl3YsTQkAAADkD5/D/I8//qgJEybo+eefz7LdkSNHNGjQIF+HAQAAAOCBzxfAGmPUqVOnbNuFh4dr3759vg4DAAAAwAOfw3yDBg104sQJr9oyZx4AAADIez6H+VdffVX//e9/de7cuSzbJScnq2rVqr4OAwAAAMADn+fM7927V+XLl1fFihX1wAMPqHr16ipTpozLWfiUlJRcFwkAAADAlc1kt66kB35+frLZbDLGZDmNJnO7uzXoUTBSU1MVFhamlJQUhYaGFnQ5yCd2u11JSUmKiIiQn1++3x8OQCHFTFoUJr6lZt94m9dyddOo+++/XyEhIVm2OXPmjL788svcDAMAAADAjVyF+bfeeksRERFZtklMTNQXX3yRm2EAAAAAuJGrC2BLlCiRbbuSJUtqzpw5vg4DAAAAwAOf58zDupgzXzgwZx7AlcCceRQmV+Ocea9/w7do0cLrdeUBAAAA5D+vw/zatWuVnp6en7UAAAAAyIEcXQA7YMCALFev8ff3V/HixVWpUiXddtttatq0aa4LBAAAAOBejsL8gQMHVKRIEY/b7Xa7Tp06pQMHDuiff/5RrVq1NH/+fN1yyy25LhQAAACAsxyF+a+++irbpSgz7dixQyNHjlTr1q31+++/q1y5cj4VCAAAAMA9r+fMN2/ePMuz8pe74YYb9MUXX6hevXqaMWOGT8UBAAAA8MzrML9mzRqVLFkyxwM888wzWrlyZY77AQAAAMhavi8+feONN2rPnj35PQwAAABQ6OR7mA8KCtLJkyfzexgAAACg0Mn3MH/kyBEFBwfn9zAAAABAoeN1mP/oo490/vz5HA+wYsUKRUZG5rgfAAAAgKx5Heajo6OVkpKSo51v3bpVkydPVuPGjXNcGAAAAICseb3OvDFGP//8s0qVKpVlm9OnT2v//v364Ycf9PXXXys9PV19+vTJk2IBAAAA/J8c3TSqS5cuXrc1xshms2nUqFFq0qRJjgsDAAAAkLUchXljTJbbbTabihcvrsqVK6tRo0bq3bu3brvttlwVCAAAAMA9r8O8zWZTQkKCIiIi8rMeAAAAAF7y+gLY7M7KAwAAALiyvD4zb7fb87MOAAAAADmU7zeNAgAAAJA/CPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFEBBV0AvBcfH6969eqpcuXKTs9XrlxZixcvLqCqAAAAUFAI8xZz7733au7cuQVdBgAAAK4CTLMBAAAALIown4diY2NVs2ZN2Ww2xcfHF3Q5AAAA+JcjzOeBs2fPasiQIWrWrJni4uJy1Hf58uVq1aqVSpcurWLFiqlevXqaPn267Ha72/ZxcXHq3Lmz6tWrpxtuuEH9+/dXUlJSXhwGAAAALIYwn0t79+5V3bp1tXDhQi1btixHfSdOnKh27dopODhYMTEx2rJli1q1aqX+/furU6dOunDhglN7f39/ZWRkaMKECdq8ebNiYmK0detWNW7cWMePH8/LwwIAAIAFEOZzaceOHWrZsqW2b9+uVq1aed1v3bp1GjZsmGrXrq1Fixapfv36qlGjhiZOnKg+ffpoyZIlmjhxolOfSpUqacOGDapZs6YkKTIyUu+++67++usvzZw5M0+PCwAAAFc/wnwutW/fXjNnzlTx4sVz1G/kyJGSpP79+yswMNBp25AhQyRJkyZN0tmzZ7PcT61atRQaGqpffvklR+MDAADA+gjzueTv75/jPsnJyVq7dq0kqWXLli7ba9asqYoVKyo1NdVp6k5KSorS0tLc1pCRkZHjOgAAAGBthPkCsGnTJtntdgUGBqpatWpu29SqVUuStHHjRsdzAwcO1KJFi5za7d+/X8ePH1fdunXzrV4AAABcnbhpVAHYu3evJCk8PFx+fu7/nipfvrxT20yvv/66WrRooYiICJ0+fVr9+vVTmTJl1K9fP4/jnT9/XufPn3d8npqaKkmy2+0eV82B9dntdhlj+B4DyGecF0ThcSV/p3o7FmG+AGSG6ZCQEI9tihYtKuni1JpMgwcP1syZM9WyZUvZbDYdO3ZMjRo1UmxsrCpUqOBxX+PHj9eoUaNcnk9OTta5c+d8PQxc5ex2u1JSUmSM8fhHIwDkXrmCLgC4Yq7kcuAnT570qh1h3kLq1KmjWbNm5bjf8OHDNXjwYMfnqampqlSpksLDwxUaGpqXJeIqYrfbZbPZsvwPEAAA8F5ERMQVGys4ONirdoT5ApAZoLNaqebMmTOSpLCwsFyPFxQUpKCgIJfn/fz8CHn/cjabje8zAAB55Er+PvV2LH7DF4DMi16Tk5M9zodKSEhwagsAAABcjjBfAOrXry8/Pz+lp6e7XOCa6Y8//pAkNWzY8EqWBgAAAAshzBeAiIgINW/eXJK0evVql+27d+/WwYMHVaJECbVt2/ZKlwcAAACLIMwXkFdeeUWSNH36dF24cMFp2+TJkyVJL7zwgmNVGwAAAOByhPk8kJycrMTERCUmJmb53KWaN2+usWPHaseOHercubM2b96suLg4DRs2TO+++67uueceDR8+/EodAgAAACzIZowxBV2E1VWpUkX79+/3uD2rL/GyZcs0efJkbdq0Senp6apRo4aio6PVr18/+fv750e5Sk1NVVhYmFJSUlia8l/MbrcrKSlJERERrGYDIN/YbAVdAXDlXMnU7G1eI8wXQoT5woEwD+BKIMyjMLkawzy/4QEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACwqoKALQOFgsxV0BYWRn6RyBV1EoWRMQVcAACgsODMPAAAAWBRhHgAAALAowjwAAABgUYR5AAAAwKII84XIjBkzVLt2bTVs2LCgSwEAAEAesBnDuguFTWpqqsLCwpSSkqLQ0NArMiar2aAw4V0VhQnv7yhMruT7u7d5jTPzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYFGEeAAAAsCjCPAAAAGBRhHkAAADAogjzAAAAgEUR5gEAAACLIswDAAAAFkWYBwAAACyKMA8AAABYVEBBF4ArzxgjSUpNTb2Co4ZewbGAgnVlX1tAQeP9HYXHlXx/zxwrM7d5QpgvhE6ePClJqlSpUgFXAvw7hYUVdAUAgPxQEO/vJ0+eVFgWA9tMdnEf/zp2u12HDx9WiRIlZLPZCroc5JPU1FRVqlRJf//9t0JDOXMGAP8WvL8XDsYYnTx5UpGRkfLz8zwznjPzhZCfn58qVqxY0GXgCgkNDeXNHgD+hXh///fL6ox8Ji6ABQAAACyKMA8AAABYFGEe+JcKCgrSK6+8oqCgoIIuBQCQh3h/x6W4ABYAAACwKM7MAwAAABZFmAcAAAAsijAPAAAAWBRhHgAAALAowjyQT44dO6aRI0eqYcOGCgsLU5EiRVS+fHnVq1dPjz32mN555x398ccfjvY9e/aUzWZzenz44Ydej1evXj2nvlWqVHFsu/POO132fenD399f4eHh6tChg1atWuV2/576zp0716nd3LlzPbYFgMKsSpUqXr03JiUlyc/PT6GhoUpPT892P3feeafHfWf1uPz9G9ZEmAfywc6dO3XDDTfojTfeUMeOHbVq1Srt3btX33//vZ577jlt2rRJTz/9tLp16+boM3XqVCUkJGjIkCGO58aMGaOMjIxsx1u8eLG2bNkiSWrcuLESEhK0ceNGx/ZFixYpISFBjRs3liQNGTJECQkJSkhI0OHDh/Xrr7+qf//+WrVqlVq1aqWZM2e6jJHZPtPChQuVkJCgBx980Kndgw8+qISEBE2ZMkWSVLFiRZe+AFAYbdy4UT/99JPj819//dXte+Py5ctljNHJkye1bt06t/v58ccf5e/vr7i4OC1atEgbN25UQkKC4w7vU6ZMcbz3unvg3yOgoAsA/o369OmjxMRELViwwCXsXn/99WrdurVuueUWp+fDwsIUFham4sWLq0SJEjp37pz27Nmj+fPn6/HHH89yvFdffVWlS5fWsWPHVKRIEZUrV85pe+nSpSVJRYoUkSQVL17cqU358uVVv359+fn56eWXX9YLL7yghx9+WKVKlXK0cbfPy5+TpJCQEIWEhDhuQe3v7++2HQAUNuHh4QoPD1elSpX0999/a+vWrWrYsKFLu2XLljl93KJFC5f9fPrpp7rtttt03XXXOW3z9/eXdPF3Cu+9hQNn5oE8lpKSotjYWElSu3bt3LYpV66cS8i/VOnSpdWjRw9J2Z+dX7p0qfbu3auePXv6XvT/16ZNG0nSmTNnHMcAAMhbbdu2leQc2jPZ7XatXLlSnTt3lnTxPd6d5cuXO/bji+TkZD388MM+98fVgzAP5DG73e74+NChQx7bvfzyy1q4cKHH7f/5z38UGBioP//8U/Pnz/fYbvTo0Ro4cKBKlCjhW8GXCAwMdHx89uzZXO8PAOAq80TP6tWrdeHCBadtGzZs0Llz5zRhwgRJF6dt7t+/36nN+fPn9cMPP3g8YeRJfHy8bDab1q5dq2uuuYY7yP5LEOaBPFaqVClFRkZKkvr27asjR464bVemTBnVrFnT436qVKmS7dn5FStWaNeuXRowYEAeVC79+OOPjo9r1aqVJ/sEADhr2bKlAgMDlZqaqvXr1zttW7p0qe666y7VqFFDtWvXluR6Bv+HH35QsWLFVL9+/StWM65ehHkgH/z3v/+VdPENt2rVqnr00Ue1aNEinTx5Mkf7ufTs/CeffOKy/dVXX9Wzzz7rNLfdF6mpqZo/f76j7k6dOunGG2/M1T4BAO6FhoY6FiRYvny507Zly5Y5zrjfc889klyn2ixfvlytW7dmlTBIIswD+eKpp57SjBkzVLp0aZ09e1bz589X165dVaZMGbVo0UIzZ85UampqtvvJ6uz86tWrtXXrVg0aNCjH9Y0bN07FixdX8eLFVaxYMYWFhenRRx9VyZIlNWLECC1YsCDbfbRr186xD3ePp59+Osd1AUBhkRnYLz3rnpSUpM2bNzvmwme2+f7773X+/HlHu+XLl2c7xebpp592eV++4YYb8vowcBUgzAP55JlnntHff/+tjz/+WN26dVPJkiWVnp6uNWvWqF+/fqpWrZqWLFmS7X4yz87HxcXp008/dTw/evRo9e3bV9dcc02Oa3v66ae1detWbd26Vd9//7169eqlokWL6rHHHtPIkSO9mkf53nvvOfbh7jF69Ogc1wUAhUVmYN+2bZtjqcjly5erevXqqlatmiTp9ttvV/HixXX69GnHNMgDBw5o9+7dat26dZb7Hz16tMv7sqeLaWFtLE0J5KOiRYuqe/fu6t69uzIyMrR+/XotWLBAH374oY4ePaqHHnpIO3fuVFRUlMd9VKlSRY8//rjef/99jRkzRg8//LDWrVunjRs36vPPP/eprtKlS6t69eqSpOrVq+u2225TUlKSxowZowsXLmj8+PHZ7qNChQqOfbgTERHhU20AUBjcfPPNKl++vBISErR8+XJFR0c7TbGRLi4n3LJlS33zzTdaunSpWrVqpeXLl6t+/foKDw/Pcv8REREu79HVq1eXMSZfjgcFhzPzwBXi7++vZs2aaebMmfr9999VqlQpnTlzxulsuyeZZ+d3796tTz/9VKNHj1afPn1UtmzZPKtv4sSJstlsmjx5suLj4/NsvwAAVzabzbEc8PLly5WRkaGVK1e6TJ+5fDpObpekxL8PYR7IB+PGjdOGDRs8br/22mv10EMPSZJXwblq1aqOG0cNGjRIsbGxevHFF/Ok1ky1a9fWfffdp/T0dI0bNy5P9w0AcJUZ1GNiYhQbG6uzZ8/qzjvvdGqTeRHs7t27FRcXp9WrV+d4SUr8uxHmgXwwe/bsbOcmBgcHS1K2/yrNlHl2/ujRo4qOjlaFChVyXeflhg8fLkmaO3euy7rGAIC81apVK/n7++v48eMaOXKk7rzzTsfvhkyVKlVyXLg6YsQIBQQE6NZbby2IcnGVIswD+eSjjz5SSkqK222nTp3SV199JZvN5rjLX3aqVq2qUaNG6b777tOwYcPyslSHW2+9VXfddZfS09O9mjcPAPBdqVKldNttt0m6uGKNpzPumc9/8cUXjj8AgEyEeSAf2Gw2xcfHq1GjRpozZ4527typgwcPavPmzZo9e7YaNGig+Ph4jRw5UvXq1ZN0MeAnJibq1KlTysjIUGJiohITE532O3z4cH399ddOF8xe2k+S0tLSlJiYqOTkZEebY8eOKTExUWlpaU59jh075lJ75tn5OXPmaNu2bY5+l9eTuc/L7xR79uxZJSYmOv6Q8XQsAAA5zX/PLsxf3v5SycnJSkxMdCxhnJKSwntvIWEzXNYM5LmEhAQtXrxYP/zwg7Zt26a///5bp06dUnBwsCpWrKhGjRrpySefVNOmTR19Ro4cqVGjRrnsK7uXqKd+UVFRjvn4d955p3744QeXNs2bN9fatWtdnm/QoIF+++03x+cxMTFq1aqV2/HnzJmjnj17Oj6fO3euoqOj3bbl7QYAnG3atEkNGzZUtWrVtGfPHrdt0tLSdM011+jkyZM6fPiwypcv79KmSpUqHqdH8t7770aYBwAAACyKaTYAAACARRHmAQAAAIsizAMAAAAWRZgHAAAALIowDwAAAFgUYR4AAACwKMI8AAAAYFGEeQAAAMCiCPMAAACARRHmAQAAAIsizAMAAAAWRZgHgELkzjvvlM1m8/goWrSobrzxRg0bNkz//PNPQZcLAMgGYR4ACpFFixYpISFBjRs3liQNGTJECQkJSkhIUHx8vL755huVK1dOEydOVJ06dfTnn38WcMUAgKwEFHQBAIArp3Tp0pKkIkWKSJKKFy+ucuXKObZHRUWpZcuWuu2227Rp0yZFR0frp59+KpBaAQDZ48w8AMCJn5+fevfuLUlav369/v777wKuCADgCWEeAOCicuXKjo/j4+Od5tX37NlTCQkJ6tWrlyIjI+Xv7+94/lLLly9X+/btFR4erqCgIEVFRal3797as2ePx3GPHTumYcOGqVatWgoJCVGxYsV000036ZlnntG6devc9lm8eLFatWql0qVLKzg4WNWqVdOzzz6rQ4cOuW2/atUqtWvXThUrVlSRIkVUsWJF3X///frss8905swZp7YHDx7UgAEDVKtWLRUtWlRhYWFq2rSpJk6cqH379rns2xijDz/8ULfffrvCwsJUtGhR1a5dW8OHD9fx48fd1vPFF1+oefPmKleunIoUKaKqVauqR48e+vbbb5Wenu7xawUAEmEeAODG4cOHHR+XK1dOCQkJmjJliiTp6NGjat++vZo3b67Y2FjFxMQoIiLCqf/w4cPVrl072e12ffPNN4qLi9OUKVO0atUq1a1bVytXrnQZ888//9Qtt9yimTNnauDAgdqxY4diY2P1wAMP6P3331ezZs30v//9z6nPkCFDdN9998nPz09ff/21tm7dqmHDhmnevHm65ZZb9Pvvvzu1nz17tlq1aqVrrrlGX3/9tf7880999NFHSk5O1kMPPaTPP//c0fbQoUOqV6+eli1bptdee007duzQunXrdNddd2n48OGKjo522rfdbteDDz6onj17qmrVqlqxYoU2btyo6OhovfHGG2rYsKHLHxgvvfSSHnjgATVo0EArVqzQ7t27NW3aNG3dulUdO3bU+vXrvf+mASicDACg0GnevLmRZF555RW321u3bm0kmdq1azuemzNnjpFkJJklS5Y4tR8xYoQZMGCAMcaYzz77zEgyN910k0lLS3Nqt3PnThMQEGBKlixpDh065Hj+woUL5qabbjKSzOeff+5Sz7hx44wks2XLFsdzn376qZFkbrjhBnPhwgWn9t98842RZOrUqWPsdrvj+aioKFOiRAmTkZHh1P7kyZOmVKlSZs6cOY7nXnnlFSPJfPHFFy719O7d2zRv3tzpufHjxxtJpm3bti7tp06daiSZDh06OJ47e/asCQ4ONjfccINL+7///tvYbDazZs0al20AcCnOzAMAJF2cIhIfH68nn3xSK1euVNGiRfXee++5tKtatao6dOjg9Nyrr76qqVOnSpLGjBkjSerbt68CAwOd2l1//fVq27atTpw4obfeesvx/DfffKPff/9d5cuXV7du3VzG7Nmzp0qWLCl/f3/Hc2PHjpUkDRgwwOl5SerYsaMiIyO1bds2/fjjj47nk5OTdf78eSUlJTm1L168uN555x01atTIqa0kHThwwKWegQMHauDAgY7P09LS9Nprr0mSBg0a5NK+T58+8vPz03fffaf4+HhJ0smTJ3Xu3Dn9888/LtN7KlasqPfee0/XXXedy74A4FKEeQAoxMaNG6fixYurePHiCg4OVtWqVfXJJ5+oW7du+u233xxLWF6qVq1aHveXkJDgmNpy6623um2T+fyKFSscz2VOu2nQoIFsNptLn/Lly+v48eO66aabHONs377d0edyNptNVatWlSSnqSotW7ZUWlqabr31Vk2bNs0p1N9///1Ox9ayZUtJ0tChQ9W3b1/99ttvjm033nijOnfu7Pj8t99+07FjxzzWExISovLly8sYo9jYWElSeHi4brrpJiUmJqpBgwaaM2eOUlJSHH169eqlChUquOwLAC5FmAeAQuzpp5/W1q1btXXrVu3cuVMHDx5USkqKvvjiC4+hPTw83OP+Lj2Lffk8+kxly5aVJO3fv9/xXObHWe3b0zh33HGH4w+SSx+//PKLJDnNU3///ffVoUMH/f333xowYIDKly+vJk2aaObMmTp58qTTGF26dNFrr72m4OBgzZo1Sw0aNFDlypX13HPPadeuXR7rqVy5stt6EhISXOr56quv1KRJE+3atUu9evVSeHi47r77bs2bN0/nz5/36msBoHBjnXkAKMRKly6t6tWr56iPuzPnBWnFihVOa+VfLjQ01PFxeHi4lixZoj/++EMff/yxvvjiC/3888/6+eefNWHCBH333XeOs/+S9Pzzz+upp57S559/rs8//1zff/+9pk6dqunTp2vixIkaMmSI01j+/v7aunVrlvWWKVPG8XG1atW0fv16bdq0SfPnz9eXX36p1atXa/Xq1Zo0aZKWLVumihUr5vArAqAw4cw8ACDPXLqk5ZEjR9y2yXw+KirK8Vzmx5nz1HMyTokSJVS9enWPD3f/IahVq5bGjBmj3bt36+eff9att96qv//+W08//bRL2xIlSuiJJ57QihUrdOjQIT3//PPKyMjQiy++qN27dzvVn5GRofDw8CzrKVWqlMsYDRo00JtvvqkDBw5oxYoVqlGjhrZv366hQ4d69fUAUHgR5gEAeaZ8+fKOM9sbNmxw2+bXX3+VJLVp08bxXOvWrSVJmzZtkjHGpc+BAwd09913a/HixS7jZO7vcuvXr1fdunWdLoDt2bOnDh486NSuUaNGWrhwoSRpy5Ytjuffe+89LViwwKltRESEXnvtNbVs2VJ2u92xVGb9+vUdZ9w91fPFF1+obt26jnX2jx49qp49e+rcuXOONjabTa1bt9b777/vUg8AuEOYBwDkqREjRkiSZs6cqbS0NKdtu3bt0vLlyxUWFqYBAwY4nr/vvvt04403KiEhQV9++aXLPmfMmKEffvjB6eLSzHGmTZvmMo7dbteoUaN05MgRp4t4P/zwQy1btsxl/5k3Z7r0jP9PP/2k6dOnuz3Gy9sHBgbqxRdflCS98cYbLn+QnD17Vq+++qoCAgIc05pOnTqlDz/80O3NsNzVAwBuFezKmACAK+mff/4xCQkJpnHjxkaSGTJkiElISDAJCQke+1y4cMEkJCSYKVOmGEnmgQceyLbP0KFDjSTTunVrs379erN//36zaNEiExUVZYoVK2aWL1/u0mf37t2mUqVKJjQ01MyaNcv89ddfZuvWrWbYsGHGZrOZt99+2+M4d911l1mzZo3Zv3+/+eGHH0yHDh1MSEiIWbdunVN7SSY0NNRMnTrVbNu2zezbt88sXbrUNGjQwPj7+5tFixY52vbo0cNIMt27dzc//fSTiY+PN7/99psZMGCAkWQ6d+7stO+MjAzz8MMPG0nm/vvvN7/88ouJj483y5cvN02aNDHXXHON+eOPPxzt9+3bZySZyMhI88EHH5idO3eaPXv2mC+//NJUr17dhISEmJ9//tnj1xgAjDGGMA8AhUjmzaLcPTzJDJ056WOMMcuWLTPt2rUzpUuXNoGBgaZSpUqmV69eJi4uzmOfo0ePmhdffNHUqFHDBAUFmbJly5q7777brFixwmOfpUuXmrZt25rSpUub4OBgU716dRMdHe0UnDNt2rTJvPDCC+bmm282xYoVM0FBQaZatWrmkUceMZs3b3Zqe+TIETNjxgxz9913m/DwcBMQEGDKli1rbr/9dvPhhx+a9PR0l/3b7Xbz8ccfm+bNm5uwsDBTtGhRU6tWLTNgwABz8OBBl7Y//PCDeeaZZ8z1119vQkJCTNGiRU2NGjXMk08+af78888sv74AYIwxNmPcTE4EAAAAcNVjzjwAAABgUYR5AAAAwKII8wAAAIBFEeYBAAAAiyLMAwAAABZFmAcAAAAsijAPAAAAWBRhHgAAALAowjwAAABgUYR5AAAAwKII8wAAAIBFEeYBAAAAiyLMAwAAABb1/wD+Owyp1DzllQAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/cAAAJdCAYAAAB3dofzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3wU1drHf7ubCoQeem8X9WJDFCsq2BuC2BXF14btYkOxYMeuV0URCyCKHVD0giiCBVGxoFgQpdcQWkJ6snvePzYze2Z2ts3M7s5sfl8+fJLszpx5ppwz5zlP8wghBAghhBBCCCGEEOJavOkWgBBCCCGEEEIIIdagck8IIYQQQgghhLgcKveEEEIIIYQQQojLoXJPCCGEEEIIIYS4HCr3hBBCCCGEEEKIy6FyTwghhBBCCCGEuBwq94QQQgghhBBCiMuhck8IIYQQQgghhLgcKveEEEIIIYQQQojLoXJPHE1VVRVefvllnHzyyejYsSPy8vKQl5eHDh064Mgjj8Q111yDadOmYcOGDbYe95JLLoHH49H8dxqfffZZmIxTp061/ThOvBbvvvsujjnmGLRo0QK5ubno3LkzTjzxRLz00kvpFs2Qbt26hV1D/f/s7Gx06NABQ4cOxZw5c9ItMiHEgCOOOELTb7t165ZukVLOjz/+iNtuuw0HH3ww2rdvj5ycHBQUFKB79+446aSTcPfdd2PRokWoq6uz9bh33nknCgoKcPfddye874UXXmj7e+zHH3/EiBEj1GvQtm1bDBw4EHfffTfKy8stt+9Gpk6dGvU9t2jRorB9jj766Ijbx9O/lixZghtuuAH77rsvWrVqhby8PHTu3BlHH300HnnkEWzatMn+E00jRtfrsssuM7Wf8n/t2rUJ37d77rknYlskvXiEECLdQhBixN9//43TTjsNf/31Fzp16oRzzz0X3bp1Q25uLjZt2oT58+fjm2++UbefPn06LrzwQluOvWTJEqxatQpfffUVJk+eDABwWlfZunUrPvvsMwDARRddBACYMmUKLrnkEluP47Rr8cADD+Cuu+5CQUEBrr32WvTo0QN//vknJk6ciHbt2jnyxTJ79myUlZVpruG4ceOw1157AQhez23btuGDDz7AV199BQAYMWIEXn/9deTk5KRNbrczdepUrF27Fvvvvz+GDh2abnGIRWbPno1ly5ahW7duto9z8TJ//nxs27YNM2fOxKxZs9C1a1dHjjnJYNOmTbjuuuswa9YsNGvWDKeeeir2339/tGrVCmVlZVi+fDlmz56N4uJiAEDr1q1x5ZVX4oEHHrDl+E2aNEF5eTmaNGmCPXv2JLTvN998g9WrV9v2Hvv8889x4oknwu/3Y+TIkTjkkEOwY8cOPPfcc9iyZQvWrFnTIBd+Vq9erc7LxowZg+3bt6Nv37644447AADHHXcc2rZtq9nn008/RVFREf7880889NBDAIArrrgCRx55JJo0aRJx7N62bRsuv/xyfPjhh2jZsiWGDh2Kfv36oaCgAEVFRfj888+xcOFC5OXlYezYsbjzzjvh9Zq3aS5btgyzZ88GEFRs04VyvbZv344xY8aon8+ePRtnnHFG3PudeeaZGDZsGADgzDPPxKxZs1BZWYlrrrkGtbW18Pl8ePbZZ1FQUGB433799Vf8+uuvmDFjBubNm4dnnnkGzZs3x5lnnonGjRsn5+RJfAhCHEh5ebno1q2bACAuv/xyUV1dbbjdtGnThNfrFQDESy+9ZLscU6ZMEQCE07uKIuOUKVOSdgwnXIvi4mKRk5MjAIgPPvhA891tt90munbtmh7B4kS+hgsXLjTcZty4ceo2o0ePTq2AGcagQYMEADFy5Mh0i0JsYOTIkQKAGDRoULpFEePHjxcAHD/m2MWvv/4qOnXqJACI888/X+zcudNwu4qKCnHVVVepY9g+++xjmwy33367aNy4sbjttttMt2HXe+zAAw8UAMSYMWM0n8+bN08AEGvWrLHUfibQtWvXhPrrwoUL457L/PXXX2r7F110kSgpKTHc7vvvvxc9e/YUAMTw4cNFVVVVgmcRwglzIJk1a9ao8gAQhYWFYuvWrXHvN378eMPvb7zxRrXNsWPHRm1rx44donnz5nzHOgy65RNHMm3aNKxduxZNmzbFf//734jWy4svvli1WpPM59tvv0VNTQ2AoIuZzG233YYFCxakQSp7ue+++9CrVy8AwIsvvohVq1alWSJCSENmx44dOPnkk7Fx40acffbZeP3119GiRQvDbfPz8/HCCy/grLPOsl2Ohx56CGVlZZgwYYLtbSfCnj178NNPPwEIfw8de+yx+PPPP9GxY8c0SNYw2LNnD04//XSsW7cOI0aMwLRp09C0aVPDbQcMGIDPPvsMrVu3xvvvv48bb7wxxdImn4KCAgBAcXEx/u///s9ye3fffTcKCwsBAE8//XTUOcj999+P6upqPPjgg5aPS+yDyj1xJF988QUAYO+990Z+fn7Ubc8///xUiEQcwM6dO9Xf9S/zZs2aoWfPnqkWyXZ8Pp/qWuf3+/HRRx+lWSJCSENm9OjR2LhxIwoKCvDss8/GFa/+yCOPWHKBdjK7du1Sf9e/h7Kzs9G3b19kZ2enWqwGw5gxY/DXX3+hSZMmcT2P3bp1U93on3/+ecyfPz8FUqaOq6++GnvvvTcA4KOPPlLDTszSrFkz3HfffQCA6upq3HTTTYbbrV69Gs8//zxuuukmLmY5jMwceYnr2bFjBwCosXvROOSQQ/DYY4/hkEMOSbZYJM0EAoF0i5AS5EUKWu4JIenir7/+wrvvvgsAOOecc9CmTZu49uvRowf69++fTNHSRkN5DzmR1atXY9q0aQCAs88+OywOPBKjRo1S48DtygHhFPLz8zFjxgzk5uYCAG688Ub8888/ltq8/PLL0a9fPwDABx98YOgVedttt6FFixYYO3aspWMR+6FyTxyJ4vK3evVqfP/991G3bdasGW6++WZ1IDJCCIEZM2bgxBNPRNu2bZGdnY2WLVvi0EMPxdixY7F06dK45Prpp58wbNgwtGnTBnl5edhnn33w+OOPx/WyX7hwIUaMGIEOHTogJycHrVu3xqBBg/Dss8+iuro66r7btm3Dddddh27duiEvLw8dO3bEeeedh19++SXqfgMHDtRkMdW7EG7dutX2jPulpaW47777cMABB6Bp06Zo1KgRevXqhcsuuyymvJFQMvZfeuml6mexMurW1tZi4sSJGDRoEFq3bq1m1T///POxePHiqMfRZ1T+448/cPHFF6Nz587IyspKelZYn8+nOQ89H330Ec4880y0b98eubm5aNOmDU444QS88cYbhkmi4s2A++CDD8Lj8air9rHa0BMIBPDqq6/i2GOPVa+5UgHggw8+MDxXfSUB5Rn93//+hxNOOAFt2rSB1+tNKDO50qbiATRt2rSIGX31nyuJ2t544w0cddRRaNWqlWH/2bNnD1599VUMGzZMTfTZpEkT7LPPPrjxxhuxceNGQ9mMskkvWrQI27Ztw7XXXosuXbogNzcXXbp0wbXXXqvxVjHinXfewQknnIDCwkJ1XDvyyCNxzz334I8//tBsG+n5XrBgAU4//XS0a9cOubm56Nq1K0aPHo2tW7fGvNaLFy/G+eefj86dOyM3N1cd155//nnDZ3fRokWGY05VVRUeeOAB9OvXD02aNFG/u+eee9Qsz8qk/osvvogrm7PVsei9997D0UcfjWbNmqGgoAAHHHAAnnjiCduzwCfan+1+hqLx6quvqjKcfvrpCe07Z84czJ07Ny7Zd+3ahbFjx+Jf//oX8vPzNc9GohVbPv/8c5x88slo1aoVGjdujL333tuWDPaK7N27d1c/O+aYY8LGFaMs4mvXrsWGDRswevRodO/eHTk5ORGfXTvfXT/99BNOP/10tGrVCi1btsSxxx6LhQsXqvtVVVXh/vvvR+/evZGXl4fu3bvjjjvuQFVVlaVrlSxeffVVtf8l8jzm5+fjuOOOAwB89dVX+Ouvv+LeV7mfkeYfyjilRwiB119/XX2P5ebmon379jjzzDPx8ccfx338eNhvv/3w8MMPAwDKy8tx0UUXwe/3m27P5/Ph6aefVv/+z3/+o2nv22+/xbvvvov77rsPTZo0MX0ckiTSGvFPSASeeOIJNaFHp06dxLx580y3tXv3bnHMMccIAKJz587i7rvvFi+99JK4++67Re/evdXjXH311WH7yglUPv30U9G5c2dx5513ildeeUXcfPPNIj8/XwAQ1157bcTj+/1+ce211woAomXLluK2224Tr7zyinjwwQfFXnvtpSYdWr9+veH+v/32m2jTpo0AIP71r3+Jhx9+WLz00kti9OjRonnz5moCHxgkoZk3b56YPn26OPLIIw0T21RWVorp06eL6dOnx0xkE08ymWXLlon27dsLAOK4444Tzz77rJg8ebK45JJLRFZWlvB4POLxxx+PuH8kvvnmGzF9+nRxxRVXqDIock+fPl3MmjVLs/2GDRtEv379BACx1157iQkTJoiXXnpJXH/99aJRo0YCgLjxxhtFIBCIeZyFCxeK1q1bi2uvvVa89NJL4rbbbhN5eXmmkibFk1BPCCHuuecedbsHHnhA/by6ulqcc845AoBo1aqVGDt2rHj55ZfF+PHjRefOnQUAccwxx4jdu3dr2ps+fbq4+uqr1Tb/+9//iunTp4cl3xkwYIAAIPr37x8m0/Tp08Wzzz4rAIgrr7xSTJ8+XfP9zp07xeGHH6655q+88oq49dZbRcuWLQUAMWLEiLCERrNmzQp7Rh999FHRqVMncffdd4vJkyeLCy+8MKHkZUqbffv2FQDEkUceqXlepk+fLsrKytTzkrcdOXKkuOaaa0SfPn3EQw89JF588UVxyimnhPWf/fffXwAQTZo0Eddff72YNGmSePDBB8VRRx0lAIjmzZuLr776Kky2VatWienTp4unnnpKvR9vvPGG6NGjh7jyyivFyy+/LB588EE1edkBBxwgampqDM9z1KhRAoDo0aOHOq499NBD4qCDDlLbfuedd9TtjZ7vZ555RuTl5Ymrr75avPTSS+KRRx4Re++9t/qMLVu2zPDYgUBAjBkzRgAQjRo1Etdff7146aWXxIQJE9RxrV+/fmLjxo2a/bZu3Ro25kycOFEMGDBAHHvsseKZZ54RzzzzjCrD+PHjxfz58zXPSN++fcPup/5ZtjoWXXPNNQKA8Pl8YtSoUWLy5MniscceEwceeKAYMmSIuPPOOy0n1DPbn+18hmJx8MEHq8dYt26d6XONJvtbb70levbsKc4880zxwgsviMcee0yVfcqUKYbPbSQeffRRdZvhw4eLSZMmif/+97/i6KOPFv369RPPPPOM6aRoRrKPGzcubFz55ZdfxPTp0zXJUT/++GPRrl07MXLkSDF58mRx//33ixYtWoS9C+x8dy1YsED07NlT3HfffeL5558XZ511lvpMf/DBB6K2tlaceuqp6vN92223iYKCAgFAnHXWWQlfHz3JSKh36KGHqtusXbs2IXmUJJgAxKRJk+LeT7mfkeYf06dPF7/88otmn927d4ujjz5anXeOHz9evPzyy2Ls2LGiVatWAoA499xzIyaLjgd9YrxAICBOOOEEVcZ77703rv2iccYZZ6jtPfvss+rnhx9+uNhnn31EXV2daflJ8qByTxzJ9u3bRevWrTWZQPfff3/x5JNPJjTB8Pv9qmLfr18/sWvXLs331dXVYtiwYQKAOOOMM8L2l5WxffbZR6xevVrz/euvvy4ACK/XG1HRUyaBHTp0CFPgq6qqxODBgwUAcdBBB4na2lrN9+Xl5aJ79+4CgBg4cKCoqKjQfL9kyRJ1EhjthRhPlmmryv2WLVtEYWGhACDuvPPOsO8/+eQTtbKBXhmPl3gWGMrLy1XlYsiQIWHK5LJly0STJk0EAHHPPffEPE6vXr3E0qVLNd8/8MADSVXuFQURgFiyZIn6uXIf27dvH/Ys7dq1S/z73/8WAMTgwYPDJn/r169X23z99dfDjrl582bh8XgEAOHxeMKUMiGEePPNNw0nVX6/X81MP3jw4LBrvn79elXRuuGGGwzPWTm3tm3bir333lvs2LFD8/2QIUMSVqQSyZavbNuxY0dx5JFHisrKSs359enTR9N/9tlnH1FQUCD++OOPsLaUSWTbtm3VRQQ9cqbjDh06iPfff1/z/T///COysrIEADFt2rSw/ZVFvU6dOoUpf4FAQFx00UUR+7P8HDZu3FjzjAkRXPRTnsHOnTuL0tLSiOfYpEmTsAWAqqoqMWTIEAFA7L333mHjloIiQ8eOHcUtt9yi+W79+vXC4/FoJqDxZsu3Oha98MILqmwzZ87UfFdXVyeGDRumtm9FubfSn4Ww/gzFg1KdJCcnx9T+kZBl79ixo3juuec033/99ddhz2+s8X/u3Lnq90899VTY9zfccIN638wo90ayRxvHZWW1U6dOYs6cOZrvlfmD0obd76799tsvbBxXKhl0795dPPPMM2Ly5Mma7xcvXmz47jGDotwfdthhori4OOb/2bNnx5yH5Obmqs+jUZ+IhnK9geACdaLEmy3f7/eLY489VgAQ//73v8PmnfL78JJLLklYDgUjJV0e+7KyssLmLpH2i8Tff/+tjgEtW7YUO3bsEO+//74AIObOnWtadpJcqNwTx/LNN99oXsTy//3220+MHz9e/P3331HbkAdjIyuaEEJs2rRJ+Hy+mMq90cu0urpateK+8MILYd+vXLlS+Hw+AUC8+uqrhsf/448/1GO88cYbmu8efvhh9bvvv//ecH/FKyDdyr2iTHTv3j3iau7ZZ58tgKAHQqIv5nhkECJk9fb5fGLVqlWG2yiKSaRt5OPcdNNNYd//8ssvYuTIkaK4uNi0/JEmhR9//LG6zTHHHKN+vmjRIvXzqVOnGu4rTyaNJvP77befACDOOeecsO9efPFFkZOToyo9Rs/z+eefL/r16xf2+SuvvCKA4CLXP//8Yyjb888/r15zIy8V5RkFEDYJFkKIt99+2/BeRMOMcg9A/Prrr2HfT5w4UUyYMEH9e5999jH09hEiqAB26dJFABAvv/yy4TaygnDUUUcZbqNYfozul2I1Hz58uOG+f//9d1zK/XXXXWe4/6+//qpuo58E/vPPP+q4FknJ+Oeff9RnKZIFSWm/ffv2hhas6667TqN8x6vcWxmLKioqVIvqySefbLjvli1bRHZ2tiXl3o7+bPUZikVJSYnafqtWrRLePxqy7EaeQtXV1WLkyJGa93as8V/2hDN6v1RUVKRNuTfqp5s2bRIjR44Uf/75pxDC/nfXgw8+GPb90qVL1e/79etneJ2U6zhu3LiI5xYPinJv5r/RuFVaWmrpefzwww+j3o9YxKvcT506Vd1u0aJFMdv64osvEpZFiMhKunye//rXv8IWVxNR7oUQ4pZbblHbu+KKK0Tv3r3FcccdZ0pmkhoYc08cy6GHHoo//vgDY8aMUUt9KPzyyy+499570adPHwwfPhzr1683bGPixIkAgM6dO+OII44w3KZDhw4YNGhQxFIqCqecckrYZzk5OWr83d9//x32/eTJk+H3++Hz+TB8+HDDdvfaay906dIFAPDmm29qvlNiTLt164YBAwYY7p+MkkOJsmvXLrz11lsAgvLIMeMyJ554IoBgkiallJCdCCHwwgsvAAjmG+jRo4fhdhdccAGAYDb6F198MWqbRvdt3333xdSpU9G6dWvTspaUlGD79u3q/z///BMTJkzAiBEjAAST6r3++uvq9sqznJOTE/GeH3300WrWWmV7mdNOOw0A8Mknn4TFDX/44YcYPHgwDj74YADBeFmZuro6zJ07V21DRrnm/fv3j1ixQLn3fr8f77zzjuE2ANCoUSN1W5mzzz4bjz/+eMT97KJPnz6G+TtGjx6N2267Tf17/vz5eOSRRwzb8Pl82H///QEE4ztjYXRNgeDYABiPLUr8448//ojKysqw73v27IlPP/0UJ5xwQtRjR3qW+vXrp2Zg1ufhePHFF9XjK33J6PgDBw4EEMxQLQxixxVOO+00w3KnzzzzDIYOHRpVfj1Wx6I5c+ao2dDPPvtsw33btWuHww8/PCG59NjRn2XMPEOx2LNnj/p7rKo1QPiYpvyvqKiIup/RGJuTk4OpU6dGfG/r+f777/Hnn38CAEaMGGEYl5+fn2/4Hk8FRufYoUMHTJ06FX379k3Ku8toHO3Tp4/6u5LLQs+//vUvAEgoLj0a++67Lz799NOY/2ON76WlpervjRo1SlgOeZ+SkpKE948Xpa927NgRgwYNMtzmrLPOUse8WH07UU477TRcffXVAIL38Oabb7bU3p133qkm0pw8eTJWrVqVkncxMQ+Ve+JoWrdujSeffBJFRUV45513cP7556N58+bq90IIzJw5EwceeCCWL1+u2bekpESdtB144IFRj7NgwQK89tprUbfp3bu34eeKPEYvCyVxTefOnVFTU2M48dm+fbs6cMqJ/Xbu3KlOVhRFwYh99tknqtypYPHixWryrO7du0c8TznxSrxJDBPh999/R1FREQBEzdTcu3dvdTFHTi5khDI5tpuhQ4eisLBQ/b/33ntj3LhxyM7OxvXXX48ffvgBHTp0ULdX5Ozbt6+a9dcI5Vn/8ccfNZNzIKQA7N69W6N0VlRUYMGCBTjttNPUbT7//HNNAqqvv/4au3btClMi5H7Wp0+fiPdeyeQLRL/3vXv3RlZWVsTvk02897tDhw6aRceysjLs2LFDPV9lIhlPUjozY4uiXK5duxaHH344Zs2apUlg5/F4MGTIELRv3z7qsaONH8q4s27dOk2CwM8//xxAMJlpr169Iu6v9MGioiJ1LDPCzj5mdSySE5Ylc9y1oz/LmHmGYiE/30YLSHrOOOMMzZim/H/00Uej7mfH/U/VfTNLrHNMxrvL6JmQ72mkZ0bZZvfu3VHbj5cWLVpgyJAhMf/Hqq4gG2DieR71yPs0a9Ys4f3jobS0FD/++COA6PexSZMm6iJKrPtohieeeEJ95p5//nnMmzfPdFtNmzbVVBg4//zzse+++1qWkSSP9M2gCEmA/Px8jBgxAiNGjEBdXR3mz5+PF198EXPmzIEQAjt27MDIkSM1Fpi1a9eqWexlJckseu8BBWX11SiDslLGbO3atSgsLIx5jOLiYggh4PF4sG7dOvXzaBN0pbJAOpHLtY0ePRqjR4+OuY8ykUmWHLHqrnbo0AGlpaUxS83F8ugwy+OPP4799ttP/Ts7OxutW7dG3759w6yNikUMiH1eyvd+vx9r167VWKEHDBiAdu3aYevWrZgzZw6OOeYYAEErdFVVFU477TTs2rVLzZY8f/58nHnmmQCCFs02bdqoln0FuZ+98cYbeOONN2Kee7R7n6zrHS/xHl8IgenTp2PKlClYunRpxEzc8WSdNjO2jBgxAjNnzsTbb7+Nn3/+GcOGDUOLFi1w6qmnYvjw4TjppJMMreF65MVSPfK4uW7dOnTq1AlAqJ/FGlflZ3XVqlWqJ4AeO++51bFIroCRrHHXrv4sY+YZikXTpk2Rk5ODmpoa7NmzR303ReKJJ55QvR6Kiopw4YUXxn0cq6Tivlkh1jkm491llMVcvn+Rspx7vUG7n91VIaxSUFCA3NxcVFdXa6z48SLvE898zAxr1qxR34fx9O3ly5ejuLgYe/bsidiHzZCfn48333wTBx98MGpqajBq1CgsX74crVq1MtWeUmkAQETvPOIcqNwT15GVlYWTTz4ZJ598MhYtWoRTTjkFFRUV+Pnnn7F8+XJ18lNWVqbuk5eXZ/m4ygsvERQZevXqpbrcxUKZQMnKQjT5I7mdphL5Wt9333049NBDY+4Tb1kzs3LEuufK97EmCWbuezz0798/rDRhJMycFxB+bh6PB6eccgpeeeUVzJkzB08++SSAoEv+AQccgE6dOqFTp07o2rUr1q1bhw8//FCj3J966qlh10OWbfjw4bjqqqtink80q0myrne8xHP8uro6DBs2DHPmzEF2djZGjRqFww47DO3bt1cnz4899hjmz59v2zH1eDwevPXWWzjrrLPwzDPP4KuvvsKuXbswffp0TJ8+HW3atMGdd96J6667Lmo70cYP+VmS77Pyu5VnUcbOe251LErFuGtXf5ZJVr854IAD8N1336GmpgZr167VlIHTI1sqEykTaofsTn9fxjrHZLy7YpUMjPW9EznggAPw7bffoqamBuvXr1dDGuNBDk056KCDkiGepb5tp3IPBMvjTZgwATfddBO2bNmCK6+8Eu+9956txyDOhMo9cTVHH300brjhBkyYMAEAsGLFClW5lwfKdNVsLSgowK5du+Dz+TBkyJCE9pVX1aPJb6WWqYKy0mwWvatfoudqF4ncc+X7ZLnn2YmZ8wKMz+20007DK6+8gn/++QcrVqxAnz598NFHH6kxegBw6qmnYuLEifj4448RCATw999/4++//zZ0r5Vla926ddrufSqZOHGimpPgzTffNIynlfMlJJOzzjoLZ511FtauXYu3334b06dPx++//45t27bh+uuvR3FxMe67776I+ys5QYyQnyV5PFLGNavPYjKwOhbpx91IFlcr466d/TnZHHPMMfjuu+8ABGumR1Pu00kq35fJIFPfXXZz7LHH4ttvvwUALFu2LCHl/pdfflF/Hzx4sO2yAc7r22PGjMG8efPw6aef4v3338e0adMi5gEgmQNj7okjefzxx9GuXTvU1NTE3FZJ2gRAk7Spe/fu6mr55s2b7RcyDpR41I0bN0ZNKGVE165d1ZX1LVu2RNxOcYOMhhLDHMnNzoyLm4wcdxspuWEqkOWIdc+V793gYta0aVPVjTDWeW3atAlA0ELVtWvXsO+HDBmixr9/9NFHWLJkCYqLizWx9MrvxcXF+PbbbzFnzhzk5uZqXPMU5H6WznufSt59910AQffYSIkyU023bt0wduxY/Pbbb/joo4/QsmVLAMDDDz8cNd46Wlyt/KzJSp3Sz+J9FoHU9TOrY5Fsxbc67kbCzv6cbEaNGqX271mzZqX8+PGSivuWTDL13WU3o0aNUuczH374Ydz7KWFmAHD88ccnxXMQSGzeqfTtNm3aRAyRsIrH48G0adPU5L/XX3+9JuSTZCZU7okjKSsrQ1FREVavXh1zW9nq3LlzZ/X3goIC1fVKSXASiSuvvBJnn3227RZ+Jaa5vLwcv/32W8Ttvv32W2RlZWkUrBYtWqgxqj///HPEff/444+YcijWp0gT+ZUrV8ZsIxqHHXaYGtupWHkicfLJJyMrKyspCfX22msvtGvXDkD0e/7PP/+oCxrKPXI6ipwrVqyImn1ayTtx0EEHGbr5NW7cGMceeyyAoKv9hx9+iA4dOmhcao8++mh1svHhhx/iww8/xLHHHmuY+EvuZ0uXLo3qBfLII48gKysrZZl2k+V2um3bNgDRYypl98xkMHPmTEyaNMnwu1NOOQX3338/AKC2tjZq/442fijjTvfu3TXx9cqzWFJSEjXuV3kW27Vrh759+0bcLl7iuZ9WxyI5O7vVcTcadvXnZNO7d2+ce+65AID333/fsYpBqu5bssjkd5ed9OzZEyNHjgQAvPPOO+pYHIspU6agvLwcHo8H99xzj6ljxzP+xDvvLC8vV6sRJPs+tm/fHi+//DKAoCHniiuuSOrxSPqhck8czdtvvx1zGyULaKtWrcLKxV1zzTUAgpbzSCWpfvnlF0yePBmbN2+2JTZf5sorr1RdXvXlpGReeeUV+P1+dRKloLzE1q1bF1EZfv/992PKoZS/Wb16taH1/qOPPorZRjSaN2+uluiZN29exIRp69atw/z589GzZ8+kxLx5PB7VvXzJkiVYs2aN4XYzZswAELSGueVFpyQGq66ujnjPv/zyS9UaoDz7RiiLSIsXL8bbb7+NU089VTNxyc3NxfHHHw8AeOutt/DNN99ELLUlH2v79u34+OOPDbepq6vDtGnT4PF41HJ/yUbJWC9nka+qqkLfvn3xf//3f6bbVRJ2rVq1ynAxQwiBZcuWmW4/Hj788EPcfffdEb+Xk4pFS5oX6Vlavny5muH+kksu0Xwnj2tKX9KzZs0a1X129OjRtiy0GN1PIFg54KSTTgJgfSw69dRTVa8HxUNDT1FREb7++mtL52Jnf042zz77LLp06YKqqipcccUVjku0BgQXP5TF8Pfee8/QU66qqiri+JRuMvndZTdPPfUU+vbtiz179uCGG26I6RW5fv16jB8/HgBw9913x5WHwwi5lJ48Bo0ZMwZ9+/ZFcXExgPjmne+//77qmRpP0k+rnHHGGWo+HKvGHOJ8qNwTR/Pwww9j7ty5Eb9/88038corrwAA7r333rASWhdeeKFqpbz22mvD3M8rKipw+eWXAwjW8rSbHj164K677gIAPPfcc2oJKZn33nsPr7zyCg488ECcc845mu+uueYa1R32hhtuCCv/snTpUrz66qsx5TjhhBPg8XhQWVkZNpFcvXo1Zs6cmdB5GTFhwgS0bdsWFRUVuOyyy1BdXa35fs+ePTj//PPh9/sxYcKEpFlVb7nlFuy1117w+/246qqrwkI7li9frlqO77777oj1hJ3GoEGDVCXr9ttv15QmA4Ir8krytMGDB0fNVH3qqacCCMafrlu3zlBxVz5bt24d/H6/uo8Rcj+77rrrNO7YQNC75uabb8aff/6J0aNHp8y9WCn1JLtn//rrr/jrr78sJdZSXPF37txpWOv+iSeeiJnJ2g6Ki4vxzDPPhH2uZPIHgkmVIpW8AoKu1t9//73ms+rqalx77bUAgt5QY8aM0Xwvj2uPPfYYfv31V833NTU1uOqqq+D3+7H33ntbrrOsoJzHhg0b1M+2bt2Kb7/9VrPIYmUsysvLw0MPPQQA+N///ofZs2dr9g0EArjuuusSDrPSY2d/TjYtW7bE//73P3Tq1Anz58/H0KFDo7q+f/nll5p3WaoStz3xxBMAgmXl/vvf/4Z9f8cdd2Dnzp0pkcUMmfruspuCggLMmTMH3bt3x1tvvYVRo0ZFLBP5448/YsiQISguLsZll12mKvlmkMdR+Z0yf/58bNiwQa3EoJ936sOiNm3ahHHjxgEALr30Uhx11FGmZUqEJ5980hYPKuJ8mFCPOJIOHTogOzsbVVVVOPnkkzFo0CAMGTIEHTp0gBACGzZswPz587FkyRL4fD6MHz/e0LLh9Xoxc+ZMDB06FIsWLUK/fv0watQodOzYEevWrcO0adOwYcMG3HfffTjxxBPV/X799Vf8+uuvWLJkifqZkiDrzDPPROPGjfHpp5+iqKhItQytXr0ar7/+Opo0aYKhQ4eq+919990oLS3Fk08+ieOPPx7nn38+Dj/8cFRUVODLL7/E7Nmz0bt3b8ycOTNscaJRo0ZqybIlS5bgwAMPxKWXXopWrVrh559/xpQpU/DYY4+p575kyRJkZWWha9euOPLII9V2unfvjtGjR2PixIkYNWoUfvzxR+y1115Ys2YNpk2bhilTpqgJZpQ2evTogcMOOwxLlizBqlWrDK/FYYcdpk4w2rZti88++wwnn3wyPv74Y+y777646KKL0K5dO6xatQrTpk3D1q1b8eCDD2LYsGEJPQ/RZJDvCRAsATN//nycdNJJmD9/Pg444ABcfPHFaN26NZYvX46XX34Z5eXlGDNmjKqgKES77/r7mgizZ89GWVmZpt1PP/1UndAfd9xxaNu2bcx2Jk2ahMrKSrz99tvYf//9cfnll6N3797YuHEjXnnlFaxfvx5HH3003n///agT6s6dO2P//ffHsmXLkJ+fb5hc6JRTToHX60UgEMD++++vCXnRE6mf9e3bF1u3bsXs2bPx448/4vTTTw9Lyqf0IyUEp6ioSL3mPXv2NG1lAYALLrgAzzzzDL755huMHTsWXbp0wcSJE+H1elWvGOXe6PsxAOy7776G9XyvvvpqfPTRR/j0008xbtw4fP311xgyZAg8Hg8+++wzfPrpp+jWrRvWrl2rno/y/BQVFeHTTz9VS6Ep12Djxo1qf1KeQ0VpLi8vDxt/FBftG264AR9//DGOOeYYFBYWYtu2bZg5cyZ++OEHtGvXLmZpwpdeegknnHACzj//fBx44IHYuXMnpk6dij/++AOtWrXCnDlzDN3B7777bpSUlOCpp57CYYcdhssuuwz77rsvtm/fjtdeew1//PEH/v3vf2Pu3LnIz89X9ysvLw+L3VbGHCB6Xxg+fDjGjRuHDRs24IorrsCBBx6I1157DYFAAJdeeqm6ndWx6Morr8Ty5csxceJEnHXWWRg5ciQOPfRQlJSU4M0330R5eTlGjx6NZ555RnNvTjvttIQSY5ntz3Y9Q4mwzz774Ntvv8Xo0aPx4Ycfonfv3jj55JMxYMAAtG7dGmVlZVi5ciUWLFigenx07NgRN910k6aCRjTZI8kW7zvoxBNPxKOPPopbb70VY8aMweLFizFkyBDU1NRg1qxZ+PPPP3HHHXfg3nvv1bRxzDHHxCxbBgTHhm+++Sai7IosynbKdQCC44wS9xxpoSZZ7y7lmuqTfCr9ThnnIo3Fibz7lHMHQhUM5DHdqH8rx5WvlyJbpGP36tUL3377La644gpMnToVc+bMwZlnnol///vfKCgoQFFRERYuXIjPP/8cjRs3xtNPP40bbrghrnOIxH777Yd+/fph+fLluPzyy3HOOefg66+/xh9//IErr7xSHcP078N9990Xl112GTp16oS///4bL7/8MrZv345zzjknYmhVNJTrpTyHv/76a1x9Oz8/HzNmzMDAgQPjymdldCz5eFbmRCTJCEIcys6dO8Ubb7whrrzySjFw4EDRtm1bkZubK7Kzs0WrVq3EIYccIm655Rbx559/xmwrEAiI119/XRx//PGisLBQZGVliTZt2ogzzjhDfP7552Hbjx8/XgAw/L9mzRohhBCDBg0y/L5r166GMixevFicd955olOnTiInJ0cUFBSIgw8+WDzyyCOivLw8qvxFRUXi2muvFV26dBE5OTmiTZs24pRTThELFiwQQogwGYYPHx7Wht/vF4899pjYe++9RW5urmjdurU488wzxbJlywzbuOCCC4QQQowcOTLitZgyZUrYcfbs2SMmTJggBgwYIJo2bSqys7NFp06dxHnnnSeWLFkS9TwjEU0G+Z7IVFdXi+eee04ceeSRokWLFiInJ0d07NhRnHvuueLrr782PE60+x7pvsZD165do8q/cOHChNqbM2eOOOOMM0Tbtm1Fdna2aN26tTjuuOPE9OnTRSAQiKuNu+66SwAQp512WsRtDj30UAFA3HXXXXG1adTPWrduLY4//ngxY8YMw30i9SMAYuTIkXEdNxrvvfee6N+/v8jLyxPNmzcXhx12mJg/f776fbR7M378+Ijt1tbWiqefflocdNBBolGjRiInJ0d07dpVXHzxxeLXX38Ne2aV52fhwoUx+1M844/S1nXXXScOPPBA0bx5c+Hz+URBQYHo37+/GD9+vNixY4eh7FOmTFHbE0KIZcuWiXPOOUd06NBB5OTkiM6dO4urrrpKbN68Oeb1/frrr8V5550nOnbsKHJyckSLFi3EEUccIZ577jlRXV0dtv2aNWss9YWFCxeKI444QjRq1Eg0adJEHHjggRGfLatj0bvvviuOOuooUVBQIBo1aiT22msvMW7cOLFnzx7De7R8+fKYbRqRaH+28xkyw3fffSduuukmccABB6j9vGnTpqJLly7iuOOOE2PHjhWLFi0Sfr8/IdkjyZboO2jBggXixBNPFC1atBB5eXmiZ8+e4rrrrhNFRUWaZ1/5P2fOnLjO22hfI1libRcLu99dyjWNNc4lOqcxc42M+ne0d0A8x/7mm2/EddddJ/r166derw4dOohjjjlGPProo6K4uDhu+WOxdu1aMXz4cNGyZUuRm5sr+vTpI+655x5RVVUVtm0gEBDTp08Xxx9/vGjdurXIzs4Wbdu2FWeccUbcz5wR0a5XPH378ccfj/l+i+dYVuZEJLl4hLDoW0YIIYQQ1zB16lTV0s0pACGEEJI5MOaeEEIIIYQQQghxOVTuCSGEEEIIIYQQl0PlnhBCCCGEEEIIcTnMlk8IIYQ0AOLNOk4IIYQQd8KEeoQQQkgD4JJLLsG0adMMv5syZYpad50QQggh7oTKPSGEEEIIIYQQ4nLolp8AgUAAmzdvRkFBATweT7rFIYQQQgghhBCS4QghsGfPHnTo0AFeb+S0eVTuE2Dz5s3o3LlzusUghBBCCCGEENLA2LBhAzp16hTxeyr3CVBQUAAgeFGbNm2aZmkiEwgEUFxcjMLCwqgrO4Q0dNhXCIkN+wkh8cG+Qkhs2E/MUVpais6dO6v6aCSo3CeA4orftGlTxyv3VVVVaNq0KTsNIVFgXyEkNuwnhMQH+wohsWE/sUas0HBeUUIIIYQQQgghxOVQuSeEEEIIIYQQQlwOlXtCCCGEEEIIIcTlULknhBBCCCGEEEJcDpV7QgghhBBCCCHE5VC5J4QQQgghhBBCXA6Ve0IIIYQQQgghxOVQuSeEEEIIIYQQQlwOlXtCCCGEEEIIIcTlULknhBBCCCGEEEJcDpV7QgghhBBCCCHE5VC5J4QQQgghhBBCXA6Ve0IIIYQQQgghxOW4QrmfOnUqPB5P1P/Lli0z3Pe7777D0KFDUVhYiPz8fOyzzz544IEHUF1dndqTIIQQQgghhBBCkkRWugWIl/z8fHTp0iXi93l5eWGfzZgxAxdffDEGDBiAmTNnokOHDpg9ezZuu+02fPjhh/j888/RpEmTZIpNCCGEEEIIIYQkHdco9wcffDAWLVoU9/arVq3CqFGj0KpVK8ydOxfNmzcHANx0002orq7GHXfcgTFjxuCll15KjsCEEEIIIYQQQkiKcIVbvhkeeughVFdX49JLL1UVe4VrrrkGubm5ePXVV7F+/fr0CEgIIYQQQlxBrT+AHWUM6SSEOJuMVO79fj9mzpwJABg8eHDY982aNcOAAQMQCATw3nvvpVo8QgghhBDiIkZMWoL+D3yGNdvL0y0KIYRExDXK/Z49e3DffffhoIMOQps2bdCxY0cMHjwYkyZNQk1NjWbblStXYvfu3QCAvn37GranfL506dKkyk0IIYQQQtzNsg27AQAfLtucXkEIISQKrom5/+mnn9CmTRvce++96N69O7Zs2YLnn38eV199NV599VV88sknaNGiBYBgvL1Cu3btDNtr37592LZ6qqurNVn1S0tLAQCBQACBQMDyOSWLQCAAIYSjZSTECbCvEBIb9hNCQtRFmQOyrxASG/YTc8R7vVyh3O+99954/PHHcdNNN2k+Gzx4ME4//XTMmTMHo0aNwqxZswCElHCfz4fs7GzDNhs1agQAKCkpiXjcCRMm4N577w37vLi4GFVVVabPJ9kEAgGUlJRACAGv1zXOGYSkHPYVQmLDfkJIiD1lZdi2bZvhd+wrhMSG/cQce/bsiWs7Vyj3Bx98MA4++GDD78aPH485c+Zg9uzZ+Pvvv9G7d2/bjnv77bfjxhtvVP8uLS1F586dUVhYiKZNm9p2HLsJBALweDwoLCxkpyEkCuwrhMSG/YSQEHn5jdCmTRvD79hXCIkN+4k5jMq+G+EK5T4a++23H3w+H/x+PxYvXozevXurirff70dtba2h9b6iogJAMLleJHJzc5Gbmxv2udfrdfzD6PF4XCEnIemGfYWQ2LCfEBIkIBC1H7CvEBIb9pPEifdauf6KZmVloXXr1gCAnTt3AgB69uypfr9161bD/bZs2RK2LSGEEEIIIZHwB0S6RSCEkIg4XrmvrKzERx99hPJy49IjdXV12L59OwCo9ez79OmjWuRXrFhhuJ/y+YABA2yWmBBCCCGEZAqyQk/lnhDiZByv3BcVFeG0006LWLJu+fLl8Pv9AICBAwcCCCbSGzZsGABgwYIFYfuUlJRg6dKl8Hq9GD58eJIkJ4QQQgghbqfWH8pSTeWeEOJkHK/cK0ybNs3w8/vvvx8AcPzxx2PvvfdWPx83bhxycnIwZcqUsIz4EydORHV1NS655BJ07do1eUITQgghhBBXU10nKfeCyj0hxLk4Xrn3+XzweDyYOnUqRo4cia+++grr1q3Dt99+iwsuuACzZs3C3nvvHab89+rVCy+//DK2b9+Ok046CYsXL8bq1avxxBNPYPz48ejfvz+efvrp9JwUIYQQQghxBRrLvZ/KPSHEuTg+W37nzp2xYsUKzJgxA5999hmGDh2KkpISFBQUYO+998YTTzyBq666Sq1bL3PRRRehd+/emDBhAs444wyUlZWhe/fuuOuuu3DrrbfGXVKAEEIIIYQ0TGoky31VnT+NkhBCSHQcr9wDwQR599xzD+65556E9x04cCA++OAD+4UihBBCCCEZj2y5Z8g9IcTJON4tnxBCCCGEkHQhW+4DjLknhDgYKveEEEIIIYREoEay3Asq94QQB0PlnhBCCCGEkAjUSkn0AoEoGxJCSJqhck8IIYQQQkgE6JZPCHELVO4JIYQQQgiJgJxQj6o9IcTJULknhBBCCCEkArLlnjH3hBAnQ+WeEEIIIYSQCNSwFB4hxCVQuSeEEEIIISQCjLknhLgFKveEEEIIIYREoJaWe0KIS6ByTwghhBBCSAQYc08IcQtU7gkhhBBCCImA1nJP5Z4Q4lyo3BNCCCGEEBKBao3lPo2CEEJIDKjcE0IIIYQQEoFaf0ijp+WeEOJkqNwTQgghhBASASbUI4S4BSr3hBBCCCGERIAJ9QghboHKPSGEEEIIIRGg5Z4Q4hao3BNCCCGEEBIBOaEeY+4JIU6Gyj0hhBBCCCERkC331O0JIU6Gyj0hhBBCCCERYMw9IcQtULknhBBCCCEkAoy5J4S4BSr3hBBCCCGERKA2wDr3hBB3QOWeEEIIIYSQCMiu+LTcE0KcDJV7QgghhBBCIuCXNHrG3BNCnAyVe0IIIYQQQiIgW+up2xNCnAyVe0IIIYQQQiIQYMw9IcQlULknhBBCCCEkAgFB5Z4Q4g6o3BNCCCGEEBIBP93yCSEugco9IYQQQgghERC03BNCXAKVe0IIIYQQQiLgD7AUHiHEHVC5J4QQQgghJAKMuSeEuAUq94QQQgghhESApfAIIW6Byj0hhBBCCCERkEvhCWr3hBAHQ+WeEEIIIYSQCGjd8tMoCCGExIDKPSGEEEIIIRGQS+Ex5p4Q4mSo3BNCCCGEEBIBQcs9IcQlULknhBBCCCEkAn7G3BNCXAKVe0IIIYQQQiKgyZafPjEIISQmVO4JIYQQQgiJgJwtnzH3hBAnQ+WeEEIIIYSQCGiy5TPonhDiYKjcE0IIIYQQEgG/kGPu0ygIIYTEgMo9IYQQQgghERAshUcIcQlU7gkhhBBCCImAP8BSeIQQd0DlnhBCCCGEkAhoYu5puSeEOBgq94QQQgghhERAsBQeIcQlULknhBBCCCEkArJbvqDlnhDiYKjcE0IIIYQQEgGtW34aBSGEkBhQuSeEEEIIISQCjLknhLgFKveEEEIIIYREQLbWC0HXfEKIc6FyTwghhBBCSAT8Ol986vaEEKdC5Z4QQgghhJAI6F3xqdsTQpwKlXtCCCGEEEIiENBZ7hl3TwhxKlTuCSGEEEIIiYA+Qz6Ve0KIU6FyTwghhBBCSAT8erd86vaEEIdC5Z4QQgghhJAI6LPj03JPCHEqVO4JIYQQQgiJgD5bvt5NnxBCnAKVe0IIIYQQQiKgV+ZZ554Q4lSo3BNCCCGEEGKAkSJPyz0hxKlQuSeEEEIIIcQAvUs+QMs9IcS5ULknhBBCCCHEACMrPS33hBCnQuWeEEIIIYQQA4wy4zNbPiHEqVC5J4QQQgghxAAq94QQN0HlnhBCCCGEEAOMY+7TIAghhMQBlXtCCCGEEEIMMIqvp3JPCHEqVO4JIYQQQggxQlLkfV4PALrlE0KcC5V7QgghhBBCDJAVeSr3hBCn40rlfsyYMfB4POjWrVu6RSGEEOJghBC48Z1lmDD3z3SLQghxIRrl3hNU7qnbE0KciuuU+++++w7PPPNM3NsOHToUhYWFyM/Pxz777IMHHngA1dXVSZaSEEKIE/h7Wxlm/rQJL36xOt2iEEJciKzH1xvuabknhDgWVyn3NTU1uOyyy9CpU6eY286YMQOHH344ioqKMHPmTPz2228YNWoU7r33Xhx55JEoKytLgcSEEELSSa0/oP5ulPWaEEKioSjyHg/g9Shu+emUiBBCIuMq5f6hhx7Cpk2b8PDDD0fdbtWqVRg1ahRatWqFuXPn4sgjj0TPnj1x00034d5778XSpUsxZsyYFElNCCEkXSgxsoBW0SeEkLioV+S9Hg/qdXsIWu4JIQ7FNcr977//jgkTJuDxxx9H+/bto2770EMPobq6GpdeeimaN2+u+e6aa65Bbm4uXn31Vaxfvz6JEhNCCEk3SowsQOWeEJI4AVW5B7xeWu4JIc7GFcp9IBDAZZddhiOOOAKXXXZZ1G39fj9mzpwJABg8eHDY982aNcOAAQMQCATw3nvvJUVeQgghzsArWe7r/JyRE0ISQ3XLh0d1y6flnhDiVFyh3P/3v//Fr7/+ismTJ8fcduXKldi9ezcAoG/fvobbKJ8vXbrUNhkJIYQ4m9oALfeEkMRQ1PhgzH3wd1ruCSFOJSvdAsRizZo1uPPOO3HfffehZ8+eMbdftWqV+nu7du0Mt1Hc+uVtjaiurtZk1i8tLQUQ9CQIOHiSGAgEIIRwtIyEOAH2lcynrs6v/l5d6+e9NgH7CWnI+P3BMcTjATz1lvs6v/FYwr5CSGzYT8wR7/VyvHJ/+eWXY6+99oo7AZ6igPt8PmRnZxtu06hRIwBASUlJ1LYmTJiAe++9N+zz4uJiVFVVxSVPOggEAigpKYEQAl6vK5wzCEkL7CuZz/YdlervRdu2I7smN43SuBP2E9KQ2V4SNPJ4AIj6yfWOHTuxzRc+D2RfISQ27Cfm2LNnT1zbOVq5f+WVV/DFF1/ghx9+gM/nS/nxb7/9dtx4443q36WlpejcuTMKCwvRtGnTlMsTL4FAAB6PB4WFhew0hESBfSXz2eEvVX9v1rwF2rRpYku7ZdV1OPvFbzGoTyHGnvgvW9p0KuwnpCFT6SsHEKy8keULPv8tWrZAmzbNwrZlXyEkNuwn5sjLy4trO8cq91u2bMHNN9+MW2+9Ffvtt1/c+ylKt9/vR21traH1vqKiAkAwuV40cnNzkZsbbuXxer2Ofxg9Ho8r5CQk3bCvZDYCUkI9Advu8/w/tmHF1j1YsXUPbj95L1vadDLsJ6TB4gk+83JCPSByX2BfISQ27CeJE++1cuwVnT9/Pnbv3o2nnnoKTZo00fw/6aSTAADr16/XfA5AE5e/detWw7a3bNkSti0hhJDMQ05qbWe2/MY5IW+yipo629olhDgLJTO+HHMfYLZ8QohDcazlftiwYTj88MMNv/vuu+9w4YUXokOHDli0aJHmuz59+qBZs2YoKSnBihUr0Llz57D9V6xYAQAYMGCA7XITQghxDn5pEl5jY537PEm537SrEr3bFtjWNiHEOah17r0eKIYzKveEEKfiWOW+oKAABQXGk6WNGzcCALKystCrVy/Ndz6fD8OGDcOUKVOwYMECHHfccZrvS0pKsHTpUni9XgwfPjw5whNCCHEE8iS8zkblvqYu1FZRaTWVe0IyFNVyD6hu+SyFRwhxKo51y7fCuHHjkJOTgylTpoRlxJ84cSKqq6txySWXoGvXrmmSkBBCSCoISLPwOhtn5LXSQkG1VG6PEJJZKKOG1+NRM3gIWu4JIQ7FVcp9cXExtm7dip07dwIIJs3bunUrtm7dirKyMnW7Xr164eWXX8b27dtx0kknYfHixVi9ejWeeOIJjB8/Hv3798fTTz+dprMghBCSKmR93k63fNlyX2tju4QQZxGQYu5puSeEOB1XKfcDBgxA+/btVXf6jRs3on379mjfvj0ef/xxzbYXXXQRFi9ejMLCQpxxxhnYe++98fLLL+Ouu+7C119/HdHlnxBCSObgly33NibU01ruqdwTkqkoRnqPxwMlWT4t94QQp+LYmHsj1q5dm9D2AwcOxAcffJAcYQghhDgekayYe2mhoMZFyv2yDbvx26YSXHBIFzXzNyEkMorl3kvLPSHEBbhKuSeEEEISIVnZ8mWF3s52k83QiYsBAG2b5uG4vdumWRpCnI9quZfq3NNyTwhxKra75Qsh8Morr+Daa6/FY489FpbQjhBCCEkVgSTVuZfd8t1kuVdYWbQn3SIQ4goUPd7rgeqWT8s9IcSpmFbuly5dCp/PB5/Ph+eff179/Nxzz8UVV1yB559/HmPHjsXBBx+M0tJSW4QlhBBCEkHOlm9n4juN5d6Fyr2f2gkhcRFKqOeR3PLZfwghzsS0cv/OO++gZcuWmD59Os4//3wAwOeff453330XjRs3xv3334+77roLmzZtwsSJE20TmBBCCIkXeRLut3FC7nbLPZV7QuJDzpYfstyz/xBCnInpmPtPPvkEjzzyiKrYA8DLL78Mj8eDp556CpdddhkAoLCwEK+++ipuv/1269ISQgghCSArsQEbFVo5zt5NMfcKVE4IiQ+5zr0ac58+cQghJCqmLff//PMPjjrqKPXvuro6zJ07FwUFBbjooovUz4cMGYJ169ZZk5IQQggxgazP22mtpls+IQ0Doalzr/2MEEKchmnlPjc3VzO4ffrppygpKcHpp5+OnJwczXYVFRXWpCSEEEJMIFuo62xUaN1e597OEAVCMplQQj2PWj4y4L4uTwhpIJhW7rt3744vv/xS/fvZZ5+Fx+PBueeeq9nuzz//RLt27cxLSAghhJhEVu7tdEV3ayk8BTtDFAjJZJSuIlvuGdZCCHEqpmPuL7jgAtxwww345ZdfsH79esybNw9dunTBSSedpG6ze/duPPDAAxg4cKAtwhJCCCGJILuf26mDy2X13OmWn24JCHEHakI9QMqWn0aBCCEkCqYt96NHj8YBBxyA5557Dh9++CHy8/PVhHoAcO+996JLly747rvvMGLECNsEJoQQQuJFaGLu7dNoZcudnSX2UgUtj4TEh9YtX/mM/YcQ4kxMW+7z8/Px5Zdf4ssvv0RxcTEOPfRQdOzYUf1+yJAh6NatGwDg5JNPtiwoIYQQkijJstxLhntXWu6p3BMSH0JTCo/Z8gkhzsa0cg8EB7lBgwYZfnf44Yfj8MMPt9I8IYQQYolk1bkPaBYN3DfVd6PMiVJUWoW8LB+aNcpOtyjExQQkyz1j7gkhTse0W368bN++HT169Ej2YQghhJAwNAn1bFRoNYsGLlSUM105KamoxSEPLcB+981PtyjE5QgolnsPY+4JIY4n6cq93+9nnXtCCCFpQZ6E21kKT+Pu70JF2Y0LEomwctse9XfGRxMrqNnyEUqox2eKEOJU4lbur7nmGjRt2hSPPPJIcEevFz6fL+b/Dh06JE14QgghJBqyEmuntVrWjd2oKLswB2BCyF4atX733R/iHBRF3uuFmlAv0z1fCCHuJW7lfubMmSgrK8PcuXPVz4QQcf0nhBBC0oFIkvu8xt3fhe85N8qcCPKtrsn0lQySVLTZ8uvd8vlIEUIcStwJ9T799FPMmzcPZ599NoBg7NGWLVvQpk2bqPtt3bpVk0WfEEIISRX+JCW+c3vMvRtlTgT5/tTUBYDcNApDXI22zr32M0IIcRpxK/f//ve/8e9//1v9u0uXLvD5fLEPkJWFLl26mJOOEEIIsUCy3OeTtWiQKtyYJyAR5PKE1XX+NEpC3I7SVeSEepndewghbsZ0Kbw1a9bEtV3r1q3j3pYQQgixk6SVwnO55d7OygFOpLI2pNDLij4hiaJa7j0hyz1DTgkhTiUp2fJLS0vxww8/oKioKBnNE0IIIXGRtFJ4kr7olnxtyco/4ESqqNwTm1B6iibmPrO7DyHExZhW7ouKijBq1CiMGjUKCxcuVD9/66230KlTJxxyyCHo2LEjbrnlFlsEJdZ4/8eNOP25r7GlpDLdohBCSMqQc6nZWgovSYsGyUQW0yUim0a23FdTuScWULPlexhzTwhxPqaV+/feew9Tp07Fpk2bkJ+fDwDYsGEDLrvsMpSVlaFnz57o0qULnnzySXz00Ue2CUzMcdO7v+DXjSW4b84f6RaFEEJSRrIs9260grs9w38iVNZQuSf2EKpzH4q5d0mXJ4Q0QEwr97NmzcKVV16JTz75BAMHDgQATJ48GZWVlbj44ouxcuVKrF69Gueccw6ee+452wQm1iiprE23CIQQkjJkhd7OmHs3JtSTFXpPGuVIBbJCT7d8YoVQQr1QnXvG3BNCnIpp5X7ZsmW44oorNJ+9++678Hq9uP/++9XPbrjhBvzxB63FTsFOt1RCCHE6ScuWL7frkom+S8S0hSqNWz6z5RPzBFS3/FDMfUPqS4QQd2FauS8vL0fr1q3Vv//66y+sXLkShx12GDp37qx+3qFDBybWcxBusTARQogd+JPkPi9cGXMvWe4z3HQvL2TTck+soM2W79F8RgghTsO0ct+pUyf8888/6t9Tp06Fx+PB2WefrdmuqKgITZs2NS8hsRVa7gkhDYlkxcb7k+Tun0wa0vAvK181fir3xDpej0dKqJdeWQghJBKmlfsjjjgCt99+O37++WfMnj0bzz77LHJycnDeeedptpsxYwb22Wcfy4ISe6jjJIcQ0oCQlXA7rW3JcvdPJg3J2iifanUt33vEPEaWe8bcE0KcSpbZHW+//XYceOCBOOiggwAEB7pbbrkFrVq1AgB8/vnnmDJlCmbMmIHHHnvMHmmJZdwyCSWEEDtIlhIecGFCPaHRcTPbL1++P7TcEyuEEup51HCWhrRQRghxF6aV+z59+mDx4sV46qmnsH37dgwePBjXX3+9+v3SpUuxceNGHHXUUWGu+iR91HKSQwhpQMiT8GTVuXeLct+QFBL5ljDm3h3sKKvG9G/X4eBuLXFYr9axd0gRyrPk9QTL4cmfEUKI0zCt3APAfvvth6lTpxp+N3bsWIwdO9ZK8yQJuGUSSgghdhBImlu++2rGu0VOO9DE3FO5dwUvfrkak79cDQBY+/ApaZYmhOqWD6gx9w2oKxFCXIbpmPt4qaqqwmuvvZbsw5A4YUI9QkhDIlkWdje65WvFdIfMZpGVe5bCcwdbSqrSLYIxquXew2z5hBDHk3TlvqSkBJdeemmyD0PixC2TUEIIsQN5Dm6rcu/ChHqa8n3uENk0tNy7jxxfaErqpOS/moR69SIyoR4hxKlYcssHgJ9++gkff/wxNm3ahJqamrDvKysrrR6C2Agt94SQhoQ/SRb2ZLWbTGQxM1U5eeyTFVi1rRwtGmernz3z+T+4YUgf+LyZnUTQ7eRkhZT76roAsnxJtz/FhdJvggn1GHNPCHE2lpT7a6+9Fi+88AKEEPB4PGGTBeUzZTAk6cdJq+GEEJJsZAuu38YJubZdd8z0Aw3Acj9x4SoAQM/CxprPP1+xDcft3TYdIpE4yfGF5opVtX40zrVsf7IFUe+X7/VAqnOfoR2IEOJ6TI+cr732Gl544QVcdtllOOSQQ3DttdfivvvuQ5s2bQAAmzZtwnvvvYcVK1bg8ccft01gYg1a7gkhDQmNQmurW77crm3NJhVZ5kx/E9TqVnIqaurSJAkxQ5WDQilUy339P/kzQghxGqaV+5deegk33XQTHn30UQDAf/7zHwwfPhw9evRQt7n99ttx1llnYdOmTdYlJbbgFvdRQgixA1nxttPaJjtBucVyLzLcLT/aOdEl3/nId6+q1kFJEOufK69Xzpafef2HEJIZmA5oWr58Oc4999yo23g8HowdOxYzZ840exhCCCHENP4kuaILXRZ+N0z23Vi+LxHkxWt9NGAWlXvHo6lwUOtAy70Uc5+B3YcQkiGYVu5rampQWFio/p2Tk4Pt27eHbdesWTOsW7fO7GGIzfCFRAhpSGhc0e203OvacoNTlDahXvrkSBZy2JlelXfD/WnoyM9klYPKF2rr3LMUHiHE2ZhW7rt06YI1a9aof7dr1w6fffZZ2HYfffQRfD6f2cMQQgghppHj7O2cj+tDnNwQ8pTplvsaKVZCn8jXUW7exBC5CznpfildJVjnPvi7C7o7IaSBYjrmfv/998cDDzyAjz76CDk5OTjqqKPw4IMPIjs7G8cddxwA4H//+x8efPBBDBgwwDaBCXEyG3ZW4PfNpTh+77bw0g2UkLQjT8LtVGj1TblBWRYiOQsdTqHOH9lyX+2gBG0kEk51y5fr3Ctu+RnYgQghGYFpy/1ZZ52Fzz77DP379wcA3HjjjQCA2267Df3790f//v1x1113oaqqCrfffrs90hLicMbNWo6rXv8Rj3yyIt2iEEKgj7lPTp17o7+diJwEMBN1E7nUq/5eO8kSTIyRk19WO8gtX8Hr8ai5HNywmEcIaZiYVu5PP/10LFmyBNOnTwcA9O7dG3PnzsVee+0FIYLJhbp27Yo333wTJ5xwgm0CE2uIjC+AlF6++juYd2LK4rXpFYQQAiB51mr95N4NZUYz3S2/VroH+vtBy73zkZ/JKoda7lkKjxDidEy75efk5OCQQw7RfHbUUUfht99+w86dOxEIBNC6dWvLAhJ7ycD5nCOhRz4hzkC2qNup0OrbCrhgtp/pde5ly73ek4KWe+fj1FJ4cp37UCm89MlDCCHRMK3cR6Nly5bJaJYQ1+DT12EihKQFbcy9fe2GueW7YLYvNNfC+fImSq0/3HLfKMeHiho/LfcuQGu5d45yH0qox2z5hBDnY4ty/9NPP+GLL77Axo0bAQCdOnXCoEGDcOCBB9rRPCGuw0vlnhBHoMmWb6O9Wr9Q4DrLvfPFTZhayXKvWPEV5d5JyiKJgKYUnnMWY5R+I2fLZ0I9QohTsaTcr1q1CpdeeikWL15s+P3hhx+OKVOmoGfPnlYOQyyindySVEDdnhBnoIkzt0lfMFLk3WC519a5d768iVJnYLnPzQqW4qXl3vnIfdVJ2fKFHHPvYcw9IcTZmFbuN2zYgCOOOAJFRUXw+Xzo0aMHCgsLIYRAcXEx1qxZg6+//hpHHnkkvvvuO3Tu3NlOuUkCuGHSmWn4GHRPiCPwJ0GhNXLJlRVLp6JNqJdGQZJEbSA85j7Lx7HYLWhi7h2ULV/pNh6Ph275hBDHYzpb/p133omdO3fiwQcfxLZt2/DXX3/h66+/xuLFi7Fy5Ups27YNDzzwAHbs2IG77rrLTplJgvAllHrolk+IMxBJUGiNFkzdMM5qKgdkoB+XkeWeY7F7kPunk8Io1IR6Hkil8NInDyGERMO05X7evHl46KGHcNNNNxl+36JFC4wbNw45OTl47LHHTAtIrGOXKyqJHy8t94Q4gmRky5fHVK8nONF3Q517TXLBDHwv1BnE3DO7uXtwaik8ZSEsmFAv9CkhhDgR05b7PXv2YNiwYTG3Gz58OEpLS80ehtiAxsrE91HSkCeWzJZPiDNIhiu63Ga2zxv2mVPJ9PwrNdIYrJwqQ6RchPRQVjvILV95lrweTyjm3jlrD4QQosG0ct+9e3dUVFTE3K6yshIdO3Y0exhiA26wKGUCchkmzicJcQbyJNyumHt5wTSnXrn3u2Cy35AS6imE3PIz73wzDccn1ANL4RFCnI9p5X7UqFGYPHlyzO1efPFFnHXWWWYPQ2zADSWaMgHZauSh5Z4QR6C13NszFgpJ78jOCr5G61xgyhNJuBZOwugeMObePciPpJNi7rUJ9YK/c1pFCHEqppX7m266CeXl5RgxYgS++OILbNu2Tf2uqKgIixYtwtlnn43ly5dj/PjxtghLzOHP8CRKTqFWo9ynURBCiIp2/LO/zSyve9x05fPPQN1e4z2l4DU9yyGpRhNz7yi3/FApPGWxKBM9XwghmUFcCfV8Pl/U72fOnBn1+4KCAtTV1cUvFbEV2XJPF/3kUSPVUaa3BCHOQJtEzia3fKkdJebeDSVHZREbiuXepypjqZaGJIp8i5zklq+NuVc+4wNFCHEmcSn3XKF0N35dQikhBN3Gk4Bsua+jck+II9AkkbOpWyrvRK8nlLDNDQunsueW86VNHCPvCVYucQ4llbVolp8d8Xt5rlnroP4kZ8tXE+o5RzxCCNEQl8Oax+PB1q1bEQgEEv6/efPmZJ8DiYF+0umGSagbkZV7XmNCnEEyYu79qnLvUZV7N1jyNIVTnC9uwhh5TzDm3hnMXb4F+907Hy9+sSriNvLtq61zjuXeKOY+A7sPISRDiEu5b9q0KbwmA9d8Ph+aNm1qal9iD/r5jhvcR91IdR0t94Q4DW2de3vaVN10vaHJvlGmdqchS+iGxYhEMQq7YJ17Z3Ddmz8DACbMXRFxG/mZdFKCSmEQc5+J/YcQkhnE5Za/a9cu0wcoLCy0tD+xjv4l5KB3ZkYhX1da7glxBsmIM1eUSJ/LLPeyjC4QN2FouXcu8Sx4y5sYJUdMF3LMfWixyDnyEUKIDPPINgD071QnrYhnKrzGhDgDfxIUWmXxzitZ8lyxoJfhCfWMLPfK4gsrxTgf+Q7VOMgtX82WDynm3jniEUKIBir3DQD9CjNfSslBnjy6YqJPSANAY622ScFT2vR6Pcjy1Sv3LlCWNQn1nC9uwhiNuz4m1HMU8SbUc9ICudBY7t3jqUMIaZhQuW8A6Oc7bpiEuh0q94Q4g0BSYu6lhHqqJc/5fV6bUM/58iaKkSc3K8M4i2hrLZqEeg5yy5dj7kOl8NIoECGERIHKfQNAP4mj4pl8AsIdk31CMh1NnXu7Yu7rm/F5PWqpNTck0dTmH0ifHMnCaMHCx4R6jiLaYovcPx2VLb/+p5wtn/nyCSFOhcp9AyDMcp+JszoHwKoEhDgPebwTwh6LdSjm3mWWe83vzpc3UeiW73yi3Q2N5d5BbvkhTx3WuSeEOB8q9w0A/SSOSmdq4CIKIelHr8zbMfzJk33Fcu+GcVW+Fpk4PBndA7rluweN5d5BbvlKX/GAMfeEEOdD5b4BoF8Ad4OFyY3or6ob3HQJyXT0Cp8dk3JlTPV5PcjyuidbvsZy73xxEyZqnfsUy0ISR34m/QGB6UvWpk0WmVBCvdDz5ILuTghpoJhW7l977TVUV1dH/H7btm1o164dzj//fBQXF5s9DLEB/WTWDZPQTMDvIMsDIQ0V/XBnx/DnlxPquajOfcYn1DPw5KZbfvqRn7VojhR6L8O7Pvg9WSIlhCK/1xuy3Gdi/yGEZAamlftLL70UJSUlEb9v3LgxzjnnHHz55Zf4z3/+Y/YwJAnQopwanFTKh5CGit6aa4vlXp3sh+rc17liMU92y3eDvIlh5JYfUsaCf8/8aSNufHuZo+qoZzrxutg7dWoSMFicyMT+QwjJDEwr97FWLRs3boz//ve/eP/997FgwQKzh8HWrVvxyiuvYNiwYejatStyc3ORn5+PPn364Morr8TKlSsj7vvXX3/hwgsvRPv27ZGXl4eePXvilltuibookYnoX0J8KSUHfZ/gIgoh6ScZ/TAQyADLffrESBqG2fJ1lvsb3/kFM3/ehLeWrk+VWA2eeBe6nWoNl+vce3SLRYQQ4jQsxdzHk6gmOzsbu3fvNn2MU089Ff/3f/+Hpk2bYsaMGVi5ciW++uornHrqqZg8eTIOOOAAfP3112H7LVq0CAcccAB++OEHTJ06FX/++SfuvPNOTJo0CQceeCC2bNliWia3wWz56cENk31CMh39eGeP5T740+cJuekauYQ7DfnMMzH3itG7zRthnrJxV2WyxSH11NbJ9yVaKTyDzxzwnKoJ9TQx9+mXixBCjMiKd8MPPvgAH3zwgeaz66+/Hvn5+RH3KS8vx9dff40+ffqYlxDAKaecgqlTp6p/d+3aFQcddBB27tyJadOm4Z577sFnn32mfr97926MGDECQgj873//Q48ePQAA3bt3R25uLi644AJcfPHF+PTTTy3J5RZY5z416K8qLzMh6UdvNbQl5l6x3MsJ9Vww2c90y71xtvzgT308d3l1XSpEIgBqpJWvaNZ5o2/8QsAbtYBe8lGenWBCPZbCI4Q4m7iV+2XLlmkUbAB4++23Y+6Xk5ODiRMnJiyYwkMPPYQuXboYfte/f39MmzYN27Zt03z+7LPPYvv27TjnnHNUxV7h3HPPxS233ILPPvsMixcvxuGHH25aNrdAy316cILFgZCGTnIs96HJvuL27XeB6V5WcF2wFpEwRmOur14ZW7Flj0axpHJvzDML/kaXlo0w9ICOtrVZK/WN2ij9xEjx9wcEsn22iWIK2S1frb6QiR2IEJIRxK3cDx06FN26dQMQHNQuu+wyPPXUU2jWrJnh9l6vF82bN8fAgQNRWFhoWsDjjz8+4nfffvstAOC4447TfP7uu+8CAAYPHmwo17HHHovXX38db7/9doNQ7sMs93wppQS67RGSfvQx98IGHTyk3HukOvfW20028pCUieOTkd6oWFr/2FKKt5duUD8vq/anSizX8PvmEjz5aTCPkZ3KvZxsMloODKNn0gnPqTahHi33hBBnE7dyv99++2G//fZT/x41ahTOPfdctGnTJimCRaK2thZr1qzBCy+8gBkzZmDYsGF44IEH1O/Ly8vx++/B8il9+/Y1bEP5fOnSpckX2AGElYLiWykp6Ocg9JAgJL0EAiKsX9qhLPjlhHpKDK4L+nvG17k3ypYvJdR7bck69Xda7sOpqg0teNTUBZCTZSktU6gtadUlWlUJo2fSCe9RreXePQk0CSENk7iVez1r1qyxZJE3w3nnnYe3334bQgj07NkTs2fPxhlnnBEmV6A+xrJdu3aG7bRv3x4AsGrVqqjHq66uRnV1tfp3aWkpACAQCKjHcCKBQABCCFVGvax1fmfL71aEziTo53V2PPq+QjILo3JndX6/5fvtr99fUwrP4e8FQPsuCCTw3Luln9QZmO61yfJDCllZdZ3jzyfV5EnK/K7yahQW5NrSbnVtaCGlxh+A3+83TMhspDA7Yb4SWrgTqutPIGDcH9zSVwhJNv6AwMtfr8FBXVugf9cWmu/YT8wR7/Uyrdx37do1ru127dqF4cOH4/PPPzd7KJWnnnoK48ePx/r16/H6669j6NChGDFiBCZPnozmzZsDCCngACIm+2vUqBEAxCyJN2HCBNx7771hnxcXF6OqqsrkWSSfQCCAkpISCCHg9XqxY+cezffbd+7Etsa0WtjNrp1lmr+379iBAlSkSRoSD/q+QjKLqtrwF2Hx9u3wV2Rbanfnrt0AgEBdHWprgu+C0tI9YflfnEZJSej9KISIW1639JPyivDxtroqlBW/ri703iutqHb8/Uo1O3aErt+aTUUQLfNsabd4e7nm7y1F29RElDK1teHzkqJtxajONz1VtYXK+vleeVkZSn21AIJepEbPj1v6CiHJ5pMVO/HIvDUAgG//01/zHfuJOfbs2RN7I1hQ7uOlpqYGX3zxhS1ttWvXDu3atUPfvn1x/PHHo7CwEE8++STWrFmDb7/9Fj6fvVlXbr/9dtx4443q36WlpejcuTMKCwvRtGlTW49lJ4FAAB6PB4WFhfB6vWi2R3tdCpo2R5s2rdMkXebSvFKrMDRr0RJt2hSkSRoSD/q+QjKLPVW1YZ+1atXaskWyYHvQkpebk4PGjRoB2IG8Ro1THqaWKAWbQ9dDAHHL65Z+kpsXrmw1qV/MB4CsrNCUxw+P4+9XqimqDRk8shoVoE2bFlG2jp+NVbs0fzdp1hJN88MX2Ly+v8I+a9GylW0eBGbJyd0EAGjatAAtmgefJ29WluHz45a+Qkiy2bU8NJ7o+wr7iTny8uJbcI1buX/kkUfwxhtv4Oabb8bFF18cloU+En5/8pLW3HPPPXjuuefwww8/YM6cORg6dKhG6a6sNK5jW1G/uh8pGaBCbm4ucnPDXyper9fxD6PH41Hl1Lu/CcDx8rsRb5glwsPr7ALkvkIyC2FUQstjX7/0eT1Sv3d+f5ffBQGR2HvADf3EyK3b55Pl1T4PTj6XdCD3l/8u+AcjDuqM0/frYLldfXTMhl1V6Nc4ToXdxv5qFjXm3utVnycRpf+4oa8QkmzyckIqplFfYD9JnHivVdzK/aOPPopdu3Zh0qRJuPjii7F27dq4hTGKrbKDgoICdOvWDStXrsSSJUswdOhQdO/eHR6PB0IIbN26Fb179w7bb8uWLQCAnj17JkUup6Gf8DARTHJIRuIuQoh55MzcWV4P6gLCpoR6wZ9yaSw39HdNnXsXyJsoxtnyUy+HW/FL8Zxf/b0dX/293R7lXpdEb/X2MvTrFG5cUbpr+2Z52FJSVf9Z+p9TbZ374GcOyPNHiKORc3gIIZKmC5Jw4l4uefvttzF69GhNzfqlS5dizZo1Uf9/9913poXbvHkzJk2aFNX637hxYwBB93/l73322QcAsGLFCsN9lM8HDBhgWjY3oX8JRctWS+zDCZMSQhoySqbtLMnCbsekXC2FJyXUc4qyHE0ObSm8FAiTYmJlyyfRMVocMUpSmHC7uvuyebdxziLl2X1oWD9JpvQ/qIoIcrZ8p/R3QpxKXnYoJLiihqVHU0nclvshQ4ZgyJAhms86d+4cM2YtLy/P9CC4cuVKXH311Tj22GPRp0+fsO9ra2uxcmWwJmuvXr3Uz0eMGIHffvsNCxYswOWXX67ZJxAIqMn9RowYYUout6G//lQ6U4MTJiWENGQUy73P64HHxpJ1mjr3Dqp7vaq4DCMmLcEVR/XAVYPCPdP0ImaaNcVozPVm0PklmzqDTMyVtX4U+Ky5zer7nFEuDCC0+NQkNwuNcnyoqPHDCcm0lTmUB6HADs6jCIlOljRulFXXoXFuehNjNiRMj9iBQCCuZDRt27a1XOpg0qRJhp8//vjjKC8vR+PGjTF8+HD18+uuuw6tWrXCBx98gDVr1mj2eeutt7B582Yce+yxOPLIIy3J5RbC66+nR45MR/+qd8Jkn5CGjN8vWe5Vi5sN7RotGjhgsv/gx39iZ3kNHp5r7LWmX+h1gMi2Yhhz7yLlXgiBG99ehokL/0nL8Y2mapW11i1u+kWX0gjKfUBSopX7prf6pwO5zr3HxnGEkExGDvPZU8UKXakk6VkMSktLMWrUKFP7Kpltn376aVxyySX44osvsGbNGnz99dcYPXo07rjjDuTm5mLq1KmamvYtWrTAO++8AwA46aSTMH/+fKxZswZTpkzBlVdeiW7dumH69OnWT84l6Cc8TnhZNgScMNknxK2s31GBt75fj1oLq5GKJdLn9agWNxG2DJc4Rm66VhfzauoCePP79diw03z5zFhecpmeF8Ttbvk/rd+FmT9vwmOfhGeNl0mWV5jR3KDSBndafbullcYTfWWrYKKteuXeAavk6nOliblPv1yEOJlaKQS4rJrKfSpJuo9EZWUlpk2bhldffTXhfY844gj8+OOPePPNN/Hll1/izDPPRGlpKXJzc9G9e3dce+21uO666wyT5h177LH4+eefcd999+Hiiy/Grl270LFjR1xxxRW466670Lx5cxvOzh3o341+J/i5ZSBhE2cHTEoIcSuDHl8IIYIr/pcfFV91Fj2yhV3pn7bE3AfCE2xZjcF96avVeOyTv+D1AKsnnGKqDV8MRVa/sJFpI5SxW34aBDGJLH4gIAwXJnaV12Dwk1/g2L5t8PiI/Ww9vtHcwA7Lvf5dGNNy7wk9y05QohUJvNKigwPESphZP2+EBx4MPaBjukUhDQA5X4eVRXqSOJaU+59++gmTJk3CsmXLsGvXLsPEd1ZL4R144IE48MADTe3bt29fzJgxw9LxMwH9pJN9LDXQQ4IQ8yjdZ8nqHaaV+1DMvRf+QPBdZIeyoLQhl8KzamH8bs3O+rbNtxErfj7TLffG2fLdo903ygkloKqs9RvGqL774wbsLK/Bez9uTIJyH/5ZMiz3kVx0Zfd3ZV3DGZb74E+viy33lTV+jHn7FwDA0f8qRPNGOWmWiGQ6crUaJvJOLaaV+7lz5+KMM85AXV1sV4tMStjjRvTvRlqUU4PL3v2EOBIrbw85W36danGzoRSeamG0zy0/x2LSMiC2lTo8oZ7lQzoKw5h7F5nuc7NCyn15jXECKjuek0gYWu5tUO71faO0MnpCPQ9CizJOUO6F5FHgcVAugESole7tjvIaKvck6chu+U7oxw0J08r93XffjaZNm2L8+PE45JBD0LJlS2RnZ4dtt23bNgwcONCSkMQaYZZ7l72U3AKrEhDiLORs+XZmtVcWSH021rnPzbZDuU/Mcp9pQ5Tbs+XLolZU+4GC8G1ypAUAuzG03Nvolp+b5UV1XSDiRF95h3o9Hme55UseBVmKXC7zgJSNOmVMbkZSgOyWb1SJgyQP08r977//jtdffx3Dhg2Lul3jxo3RpUsXs4chNqB/NdZxBS0lcKWSkPSiWCKzfB546+ez9rjlB3/6vPbVvc7Nsq7cx9Jj9TH3TlCc7MTYcp8GQUwiix+pLnSODc9JJCKVwrOK8i7M9gWV+0jPndKvPB5nWe4DBp46blNW5OvIzOUkFdRKz5wT+nFDwvRbonHjxujfv3/M7Vq3bh1Wjo6kFv2LlG75ySHTXV4JcRuK4SBYss4+i5syUZHddK0Oq/Yo9wla7i0f0VkYZst3keVepqLGWAFLpnJvdP0qqu2LuVes8ZGeO6cm1JNL9GX5lEWHNApkAlm5ipTQkBA7qdVY7tPfjxsSpt8Sxx9/PP7444+Y21VVVeG1114zexhiA+HZ8tnJUgGvMyHpRbGuZUml8OxMqOe10y3fBnfrmG75ur+doDjZidGY666cPyH5yyNZ7n2h87H7HWOksNqhCAZUy310hV3OSu/zOkeJNnLLd1vVITkcc3cFlXuSfGS3fM6HU4tp5f7RRx/FhAkT8N1330XdrqSkBJdeeqnZwxAbYCx4euB1JsQ6VnSzUCk8r60WXKVr2xnLb4flXtL7jMMEdJ9l2hBlpG+5KJ+ehooIdaFly31Nnb0KppHCWmqDC3eY5T7CcycnrnNSVno10Z8nOJYA7rNEytnKy1lznKQAOaGe2/qL2zEdc3/XXXehWbNmOOyww/Cvf/0LvXr1QqtWrcJWySsrKy0LSayhfzeykyWHTC8zRUiqsCOjPRAa67K89pbW8hsoIU6IuZcXMGr9AjlZ2vdxeOhQZo1RNTozr9djrdpCqpFvR6RY9xxfyMOjpi6A/Bz7EuwZWu4jZLZPhIDaD4PPeGTlPvhTk1DPAfMVJVeF1wPJcp9+uRJBno9wbkJSgZyXwm2eLm7HtHI/depUeDweCCGwYsUKrFixIuK27nKLyzz0A7nbXkpuhZeZEHNU22SR9PtDFkPlPWRHt1Tr3HukWH6LE2bZIiuEMPXelPep8QfC4rPDFyATPoSj0Sc5i+at4UT9RhYpUh+QS/tV+/0AwqsUmcXYcm+Dcl9/Ylkx3PLl2HY1oZ4DblQo0Z8HXq+SUC/9ciWCPO9zmejEpcjeIqxzn1pMK/cA8NRTT6FZs2ZRt9m9ezduvPFGK4chFmGd+/TARRRCzFFda49yL5fCU7DDWi1bGO1zyw9ZYI2s7vEg67I1dQEgV/u9/twzzXJfW6c9H6+0+OI2quLIUm+/W37481BaaYNbvq4fRrTc1/+Us9I74T2qSajnII+CRNAq9+6SnbgT1rlPH5aU+3PPPRdt2rSJuk1RURHGjBlj5TDEIqxznxoyvcwUIamiqi6k2FixkAnJwl7vEWyL5V6ZqHi9oVJrdta5r67zm8qKLstgpPiFJ9RL+BCOplZneY6m1ztR55cfoeq6AKpq/cjLjux2b5eHi4KRcc0Wt/z6E8uu74QRLfdKv3JYtnyjcIG6gDDtYZMO5Hlfpi3qEWcie1K5zdPF7ZgO8vvqq6/QqlWrmNsVFhayFF6a0Y/jXEFLDXx/EmIO2XIfjwUzEupQ5wGUfPl2TGy12fKjWyPjRYlHBswrbbKlxFC518moX5B0O7VhMfceRyrx8fDIvBXY7975+PSPIs3n8j1LRUI9fR4Dc+3qLPcRtgslrgu5vzsjW34ox0aW5AXkpqmU7BbtJrmtMOvnjTj+qS+wfkdFukVpkNTRcp82TCv3hx9+OHy++BK5+P3W66QS8zDmPkVwEYUQW5CtTFZi9eREWIqSZ8eim9K1vTbG3MtKqFnlvi6GJhSeUM/UYRyL3i3f57JU+bLiLkTwObj8tR8ibm+/cm9rc6F2Fcu9L/oCm/Kp1xOq/OCE96jc3+VnSp/jwck0tIR6df4Axrz9C1YWleGN79alW5wGSVFplfo7LfepxXp63hgUFxejd+/eyT4MiYK+S9EtPzU0hBcoIclA7jtWJgXypNxrZ0I9yX04VLLLWpt2DBey5d7IKp/pZVH1ypZbrfZRkW6ZHVZ1GSPLvZ39JeRqH2E7Nbbd4yy3fIQs97Jy74SFh3hpaAn11u0MWesLC3KjbEmSxdod5ervzJafWkzH3H/55Zdxbbdjxw6zhyA2EWa5Z9bKlOCESQkhbkRWQq1MoIXkPq9Mye1IhKW65ct17m2cMZsNHUjUkphpQ5Teki3fdzeQ6P2wK/GkQtIs9/XtZvmUUngRLPeqWz6clVCvXn5PmOU+/bLFi+Y6ZlrHN2CdpFhGq5pBksOu8hpsL6tR/3ZTX8kETCv3Rx99tGsSiTR09H2KlvvkkOnJqghJFbKSYWVyH5BiZRUtzxZLpMYjQHsss9gR/y6HMBiJE14KL7MGKf0E0mVe+QlTY3PIo+HcwIZnRGk3K17LvdMS6tX/DNa5Dzm8uiljfoOz3Etx9k5YIGpofP3Pds3fNCqmFkvZ8gcOHIicnBzNZ0IIFBcXY8OGDSgrK8MhhxyCvLw8S0ISizDmPi3wOhNijoBNlnvZ4mZX4rtgG3Isv/1KiNmm9AnlwtrVLSA4QG+yFf35uy7mPo77IW+SioR6dqBWrVBL4cWKuQ9ZyJ3wHpU9gORHyk3WyIZWCm93RajKAw1aqWfN9nLN327qK5mAJeV+1qxZEUvh1dbW4p133sG0adPw3nvvWTkMsYi+T9ntykeChGWi5guFEFNoY+7Nj1eyxU2Zk9vRL9VSeDbWubeDmMp92BiVRGFSjBBCk3MAqF94cZGHYaLeG7aXwjNozo5HROkv2apbvvF2WiXaOf1KrnPv8XiQ5fWgLiAcsfAQL79vLlV/d5HYprFrgZiYQ/8u4j1ILaYT6o0fPx5NmjSJ+H12djYuuOACjBo1CmPHjjV7GGID+lXa6jpWL0gFHMwIMYc8ZNnhli+XRLPVLd8bsuRZXTSwQ9GWrSNGzYWHDmXOGGVkGdIb7v/YUhq2jduQb5n9yn1yFv79Ost9xDr3mpj7+s8c8B6VS/QBUMv0ucka+eD//lR/bwiGB/neOOEZamjok326qa9kApaU+0aNGsXc7tBDD8UHH3xg9jDEBvR9qoqW+5TAsYwQc2isLhYmorL7vJ1u+QGDdp3Q3/WWaz3hde4zByOvhUxPqGe3W77y/OzXuTn+1bbAlExGBFTLfaw696GYe0WRtpKLYsZ363HYhAX4Z9se020AutwdCOUOcGsccSYt6kVCXhSmW37q0ZclZbb81JL0Unh///03du3alezDkCjoV2lpuU8O+klIQ3iBEpIMZEXZygQ6ZAn0SJ9Z75dGHgHWE+pZR65zb2Sdy+QxymhhI1qWbLee+mPz/1J/t1+5D7Z37L/a4LaT+trWrpotvz4ZXUzLPTxSGI354y74swibS6rw/Rprc1A5FwAQ8kBwq9LohIXIZOOn5T6t6BdbablPLZZi7iMhhMCuXbvwww8/4Prrr0evXr2ScRgSJ8r7R4kTo+U+NWTSxJmQVGJfnXttrCxgl1t+SLmPVbvbDGaHjljXKpPzghha7pNuvkgtJRW1+GXDbvVvu93ylWuYnWWvv4PSX7K8kb1n5GfRK6VKsPKEKv3BaiUKRTSv3nLvUmtkQ5ib0HKfXpSxxOf1wO+y/BSZgGnl3ufzxbWdEAJTpkwxexhiA8pAnp/tw57qOlruk0R4man0yEGI27Gvzn3wp5zl2g6FVlsKL3oG8LixQS5ZwTWMudcdI5PmvHURLPeRjPcuyrMHIQQ8Hk/YuztZbvnZ0qqIHSUalT6c5Yum3Id+90i1K608o8rcx+q7WO+W76u/Pm61RmZSv4+EnIg1Rp5RkgSUmPv8bB/Kqutc21fciul1bSFExP8ejwfNmzfH0UcfjXfffRcjR460U2aSIEqXyssJLsjQcp8auFJJiDnkrmNlUqDG3HvtsQSGtStZGM1aw2rqApj98yYUlVaH2jcppZGCK5PJC5CRYu7dRKRHSOkDeguk3XXulQl5tk8qL2EDoYR69dnyDZ5v+ROvlFDPyuKC2h9sSnbpUd3yde27jIZmuW8I5+s0lIXCvOyg3uHW/BRuxZJb/tatWyOWwiPOQRnYGtUr97Tcp4ZMcnklJJUEbIqXlGPuPbDJwg6pFJ5XKtllcs30pa9W47FP/oq9YRxoLPdG1tGwvzNnjNJnZwbcZZ0HIt+PWn8A2T5v2IKx3Zb7OtUtX7Lc2/CIKH0uSxfCUl3nR26Wr/6z0IE8kHNZmD+u32bLvdLXldwBbl3AbwjKrnxv3LoI42Zq68em/JxgX6l1aQiLWzFtue/fvz+ys7PtlIUkCWUcz8ui5T6ZvPvjRs3fdAUjxBx2We4NS+HZMM8zcss3O2Fe9Ne2sM/MyphonftMmm9V1YYvWns9cmo2LW7Sb5TM0/r7ZX/Mfb1bvs9ra5UBRdGSS+H9uG4n/nXnPDz3+d8AdG75XoTum4UbpSwMWk52qSwS1v/ttoR6+gVNl65JJEQdLfdpRXkXKXoHb0FqMa3cL126FC1atLBTFpIklIE9T7XcZ9CMziHU+QOY88tmzWd8oRBiDrti7gPSpFxNqGeLch9yy/da1EEUy6UdxEyol8HZ8surw5V7n8tM95Fuh2L1CnPLT1JCvRyfvZZ7Zc0pW4q5v3P27wCAx+evBKB9FjWLcRaOqybUs5wOQ2+5VxLquaP/6CtJNASvQk1CPZfcp0xC8aTKzY5eIYMkhwzLJUuMUMa1RvWxL9UGFg5iDaNJNQczQsyhtdybV2A0sfFq2zYk1AuEJvvKooFZK54SkyhjVkKt+6lBXHMGD0nl1XVhn3k87nPNN0JRupPtlq+0l+XzaMpHWkXNli8tGugzzWss94AtnjahhHrWHvxQeE/wp2K5d4u7t96jJ5M8diIhz8nc4mGRSShjSSjsJp3SNDyo3DcA1Gz5SkI9xtzbTqzsv4SQ+JEn4wFh3tIkZ8u3M6Ge6pbvDWXhN6tA5GXb9xqOFdeolzCTFiDLDJR71yXUi/C56pavu19JK4UnW+5taFfNlu8N3Q/9grjsVeK1KUeGonxbttzXy6ZX7lNpEa6s8ePCl7/DlMVrEt5Xr9xnUq6NSNiVt4WYQ3nmcrNouU8HVO4bAMq4pnSyWr9oEG5ZqcRoZbghvEAJSQb6/mR2Eh0qYSWXrLMmm9xu0C3fWp17I8u9GfwBoTk3w/PM4FJ4Rpb7aHXurer9O8trULynWvPZN/9sx99Fe6w1bIDqlq97yKx4tRihKNw5Nsfc/7huF4BQIjog/FzkP2WPCyuPqNJPrb6L5RwbgGS5T6EJfMb36/H1P9tx75w/Et5X75afCbruw3NXYOx7v0acy9bRLT+tKM+condQ50gtVO4bAkLbyYDwwZ5Yw2hVku8TQsyhnwiYTaoXmpSH3PLtmGTIHgGKvmK2XSPLvZm2YiXTAxqG5V62Dvs8kdLpWXT3Dgic+PSXGPDgZyiprAUArCouw/kvf4fjnvrSdLuR7rvi4hqm3Nv8HleOI1vurVJZ48em3ZUAQpmzgXDZ5XMPKvfWFs2A0PWy+i4W6iJh8O8sKTFgqqgwWLyKlzC3fJf3eyEEJn2xCm//sAGrissNt/HTLT+thCz3TKiXDqjcNwBClvuQhSieiSCJHyO3Lw5mhJhDbxCzbrm3t869XAovpISYVO5tSqgX7nobTibXuVcS6hXkhSr82hk3LlNdF8C2eqv9Z38UAQD+2VaWlGMBspJqz6JXJGqlOvehmHdrxyivCSmlJ/drr/4e1XIv1TiwcvxI1y1R5MU8ID0x91Ye5fCFFIvCpBn52YmUd0JT5z6TBjqXwIR66YXKfQNA6VS52bLlnsq9nRgpH3RDIsQcdisxcuI7u93ylYzsZj10fb7wWbsZEeNRNMLdkzNnjFKUyIK8UIleb3J0e01ug/U7KwDAFjf2SHdDeb8k2y1f8ejLstFyL/eV5o1y1M/D+rT0p9emRIiKxdZqn5fPAUhPnXsrC1U1GWa5l5+dSCEXWst90kUiOsJj7tMpTcODyn0DQOlTWV6v+sLUD/bEGobKfRrkICQT0Hcns5YXZT+P5J5tS7Z82S3fouXeLquSPplePEk+M2nCpVSBaZQT8oSQEynaSa1kLVTat8NLINIjVBdBubc7vM6oFJ5VNCEs0iXSZ8sPK4Wn298MoYR69sTcK0s4SiiO3Z4T0bDyeIW75VsUJs3Iz0rkPhM6Z1ruU4+SBDTkls97kEqSrtxv374dPXr0SPZhSBTkVWcllo4x9/ZiFNPFFwoh5khKzL2t2fKDrfgkhcXs3MXo3My0FZ/l3vpxnIoyBmdJnhDRsuVbU5Ykq6CygCTLYvPYH8lyb/dxVLf8LNkx3hqh+Ye2Tf1zLytscsy9lWR4oVJ4ppsIyuAEy72F+6EfG9xuuY/nusvbpDLxIQlCy316yYq9SWzKy8uxe/du+P3hJda2bduGdevW2XEYYhJ15dzrQY7Pi5q6gMbyQKxDyz0h9qHvTlZj7mULux0WBG0svzXL/Tf/7LAsDxCnch9muc+cUUp5ROSM7NGy5Vs5ddkSWlpZi89XFGk+q/UH4POayaUQ3cVYv4hcZ7MHnrJooSmFZ9mlPfjTo3O11/dp+S+PXLrSwvGVY1guhaeegzbmPrVu+eb31Xtqut2KKl/3SKeiccvndDflMOY+vVhS7p955hk899xzWLVqlV3ykCSgZnpFMFEOwJh7uzFaGOZgRog5wmPuzY1XQqOEK59ZEg2A3i1f+SzxhpdvLMFfhqXTEm8rzC3foA39Z5k0RimeUpps+V77LNAy8vtz2pJ1mLZkHTo2z1c/q/EHbCtxCEiJ4XTdwG63cDVbvhTCZxXlvuhDJCJZ7tUwB9iZLd/adVL2Dlnu06DcW9hXvwjkdkO2RrmPI+Y+k8Y5t6DPlk/LfWoxrdw//vjjuPXWWwEA+fn5aNGiBbKzs8O28/v92LRpk3kJiWXkVWdlRZ4x9/ZiWOeegxkhptBPxsxOokOT8pCSZ7XmNRBSWHxeD7xe84n6ft6wy7IsCnFl7g7zy7ft8GlHeUbidcu3glFYm1LuDTCfRT1W/HC45d6+GyiEQHVd0PtSLs9ovUa81Fek+xHWp6UFM0AOozF//FBCPXvOIbzOvTss9+GVCdzd8eV+EOndwDr36YV17tOLaeX+xRdfxAEHHICpU6eiX79+EbfbunUrOnToYPYwxAZktzjG3CcHZssnxD70XcfWUni2WO5D7Vqx3NtZgz3MzdmgDf1HmTTnVc5Fdin3eT32pLHXEcvzzW7PuJDlXnvD9N4aVqj1i1DZ3GyfbZdNnn9EU+7V7aD9acktX0moZ74JAOF9O+SWnzojiRUPlLAEpS7v9/44FHda7tOHPyDU6x+Kuec9SCWmlfsNGzZgwYIFURV7AGjUqBFGjhxp9jDEBpSVbw9CHY1u+fZiNHBxKCPEHHZZ7mX3+VBsvCXR6tuQXY3ta9cK8Uye9AuOdngxOAXZQqyQlaRaeLHen5Fqb8ci0t2IlC3fTotkVV0oZ5IyT7ADbUK9EF6Pts8oz6Lecm8FxcJrW517rzst9/p+7nbDg/zcRzJUxbMAQJKDPD7m1ocnuT0UxG2YHsHbtm2LTp06xdyuadOmmDJlitnDEBuQS9Golnsm1LMVo5cHVyoJMUdYQj2zZeakLNchS6ANbvnSmGqpFJ6NbuNxWe4zzIIno7rlywn1UuiWr/3ebI6I4M92TfNw5gEd1c8Vi30y3fKra4Myezz1yr1Nni6hmHvt4y7fJ39AaCz8QMhSbaW/2p5Qr/7vtMTcW3iWwy337u74sqIYj+Weyn1qkcN+ablPD6aV+/PPPx/z5s2LuV1paSlGjRpl9jDEBuSkUtlZwRcEY+7txdgtPw2CEJIB2BZzryoMUsk6K4LVE4q5l9zyTcgY0S3fhEzxLICEu+VnziClnEt4Qj37iZWl3qpFt1GuD0+dsz8O7dFK016YW76N7/Gq2qDlPjfLa0mR1GPkPQNoPSxq/QH13JRNFN3fjmz5lkvh6bwKfGkphWcefT93u64rJ1iNFJoi98FMGufcgGw8zFFj7tMlTcPEtHJ/zz334JNPPsEjjzyCbdu2RdyusrIS06ZNM3sYYgNKnwpmy2fMfTKgWz4h9hHmPm6yM2mz5SejFJ5subfcrCXCS4vFseCYQYOU6pYvJ9RLklt+rMVx0275uhukJAeMVArPTuVSSaanZLdWZbLYruo9U38vlFuiV+4VQt4WNmTLty2hXvCnPlu+W9zy9TfR7d1enm/56ZbvOBT9IsvrUfsKF1hSi+mY+7322gtCCHzwwQcYN24cGjdujFatWoWt+Pr9/ggtkFSh9ik5Wz7d8m2FCfUIsQ+97mRLzH39Z3aXwlMwE78eacJjR0I9w3YzuBSecv7ZsuXeZW75CorU+thu/T2213IfbEvJlG+Xz4McGhP86UFACJ1yL0ILZvWfWc2WHwgItR/ZtUAB1avAXaXw9P3c7XMTeVEl0gILlfv0oYxL2b6QFxDvQGoxrdyvXbtW83dZWRnKysoMt7XTxYskTsilDMjxMaFeMjC03HM0I8QUYW75dsTc2zjJCCVvs5aFX4lztgO9y3Y8MfeZNEYpp5+ly5Zv5/yj1h9Ats8b0y3frGecfi9lcULJym5XuIoRES33diWji5Iory4QCN9Ot3+iyGOGmZAZGb1s6bHcm3+Ow3NtuLvj+zXKvXFfrJYSRJp9fxBz1KjKvcWcNMQ0ppV7j8eD77//Hq1bt4663bZt2zBw4ECzhyE2ECox40G2jzH3ycDocnIwI8QceoXC7ORcnpQrc2M7+qWRW76ZVuUJqIwZa6WZCWwmjVHKMyLH3NuZUG9baRWOe+pLnNyvHQbWx8JHIpbyHwuPGtutVSL1CfRq7VTu9ZZ7my6dooiFlHsPAKHp04FAuHU8ZLm3dlzAmmu/PBbp69xbXTRIBCv3Iyzm3uXTv3gS6lVL3qmc7qYWxXiYk+WVSsWmUaAGiGnl3uv1okuXLigsLIy6XePGjdGlSxezhyE2EEoqFXopud0ty2kwoR4h9mFXXWbZ1ddWt/z6yaK8aGBmTK22MTxKPwb9vrkE9330B8ae2Bf9u7YAkHmJtWSUxY0sKebe57Xmziwze9kmlFTW4s3vN6B/15ZRtzW7eK5/hJRzUZRI/f2zuoggo5TCy8tOVsx98G+P7nMgeO+Uv0KWe2vp+uX+YKXko9xH9NnyU2q5t7CvXkq3L+ppEupF8JKRx9ZULsIQoLauPkTK5w0tfrv8mXMbphPq1dbWxlTsAaB169ZYs2aN2cMQWwh3TeVYZy9GL0teY0LMkZxs+Ulwy/d4pJJdibcTSbk305b+mo19fzm+X7MTF73yXZR2M2eQUt3yvVq3fLto0ShH/X1XeU3Uba0mrA3F3AfPRbXc6/pBQJhXXDbuqsB5k7/Fgj+LAIRi7pXSVXZdOX1+CqMElMH4eMUbRtkeYdslguzJYkWvMLTcq4kOU2gStuSWHztkx01oFoYM7kGdP6CNuXf7CbuMGslyb6fHHIkf08p9vOzatQvHHntssg9DoqCMfXI5KHY0ezG03GfQxJmQVGJXXeZQzL01C3vkdq25D9uZ2DSSEbeiJuT6H55Qz7bDp51ku+XLHgH/bDPOL6Rgus697v7o66kbKfJmrcd3zf4NS1bvwGXTfsCP63Zi3m9bAYRb7q0ipD4IwHCyL9e517rvm3+PylnUrcx3NJdXyfTvSb3l3so6VebF3Id+N7oHVbpxlZb71GKUUM/toSBuw7RbfrzU1NTgiy++SPZhSBTkl6NTyjZlGkYrwy5/fxKSNvQKuPVs+dYS30Vq1+qCacSYexMyRrpGslKQyQn1lPMPT6hnT/tVUvLD7WXVccmSMFIIHRB6X0ey3Cd6rFk/b8Sj8/7CSxcfhO1lIe+D4S8sUX9XEup5rKxaGcinPyf52QsIIeXH0O5vR0I9S5Z7zfwp+FO/6JIKrFQvsGux1CnIbvn6PBQAUF2rHVdpuU8tsnJPg2J6iFu5f+SRR/DGG2/g5ptvxsUXX4wePXrEtR9L4aUfOakU41+Sg9HKMK8xIeYIjw0365avxPuGsqbbbbmHFbf8eoXx3AGd8dbSDbbIpCc3y4dd5TVo0Tgn42JvZZRzyZbr3Ntoua+UPCBKKmvjksUsiiKnVyKNlMnaQAD5iM/aPubtXwAA17/5Mwrysw23yc2216Ez3CKvfK61rIf+1m5n9kpqEvZZuB/yrqGEesFrlFLl3orlPsM8dgIxLPf6cCeWwkstikdajs9juJhHkk/cyv2jjz6KXbt2YdKkSbj44ovDSuFFg6Xw0kvIyiS9WDnY2YrRy4OXmBBz2O2WD8iJvEwKJbdb34hsGbaSUE/vCm3mfCNNYCtr/Tjg/k/xzW3HZpx7roxyLnLMfZaNMfeVkjVwdwzl3nSOCN3fSmy3Yp00ul9GlstYlFbVoUXjHMPv8lTLvbFMiaL0C8WVXbkjsjXVH0CY5d5KLgtAq/RZ6fOaMUSx3PvSYbk3j15Mtxse5GfHKKmkXrnnfDe1KKFg+Tk+xtynibiV+7fffhuzZ8/GZZddpn62dOlSlsJzAcqqrQd0y08WhnXu0yAHIZlAeEI9c+1oS+HZmVAv+NN6KTxtEjOFoRMX45+HTk5QpugSzPllMzJ5VArVuZez5dvpli8p9xXRlXursdiqEqlY7oWi3Idva0bB9AcCEZMNJstyr7rle8OV9mDMvd59P/jTdMy95rrYbblPQ7Z8SzH3mWW5l5PoGVvutR7DqbxPBKioqQMANMrJYp37NBG3cj9kyBAMGTJE81nnzp3Rpk2bqPvl5eW5fpXQ9Wjc8oO/s6PZC+vcE2If+q5jR8y914KFPbzdkFu+lRJ7yiQ0V2e5NzMZjXWNNu6qzGjLvRpzLyfUs9FyLyv3pbHc8i1Wd1DwqW75wReMcVWWxI9V5xcRvRoUy31IJmvPiJzUEjC2QMvnoHffNx1zL1vuLSTzMrLcK14Ibom5z7R+r0moZ+C5IufHANx/vm5Dsdw3yvHRLT9NmF6iDQQCMRV7AGjbti0CTJOYVuQV8UQ62q8bd2PT7spkihY3gYDAVdN/xL1zfk+3KIYYJmzhYEaIKfTKkeWYe4+VqbFRu8Gfdrnl6y33ZoilaGzYVZHRCfVUt3w5oZ5UqtAqslt+rDr2diXw0tdTN2rWjIJZ7Y9suc/LtrcUnnItlGgJozwIGst9/WdWc2TI98CubPnKs5QOy72VGxKew8SiLGlGfuZrDPJ6hSXUc/sJuwytch/8jAssqSXppfBI+pG7lCdOF5k128tx+nOLcfjDnydRsvj5ZeNuzPt9K6YsXptuUQwxstRwMCPEHHbH3AfzjdjnHqhMFr1ynXsT7dip3Mc6rz1VdRmXWEvGMKGenTH3NfEbKUxb7nX3R5FfKetm1K4ZxaWmLoBdFTWG3+XqLfcJt64lvBSegXIvZcv36Cz8ZrurfK0snYPGLT/4MysNde7lq5bogoeyeZbX2oKJU9Ao9wblREO5TFKf+JBo3fJD7910StTwoHLfANBmyw/+Hquj/bapJLlCJUh5tbOrLhjWuedgRogpwmPurbnlezR17q1IprQrLxpoP0sExcKkd8s3Q6y8BEJSoBQyaQFSOX/ZrdxnJVBZR1Vt/O8g0wn1dAqu3nJvV8w9APy2qdTwc9Vyb9OlU/Rfvbu9dpuQ5V7Nh2gxoZ82oZ4Vy73slh8UypsGt3zZ4yHRw4aubWbEP8teGbVGpfDqlftGOcHIYyqWqYWW+/RD5b4BYOSW77aOJidIcWLmUyM3TLddY0Kcgm2l8Op/BmPj7U+op3XLT7wdxb07zw63/BgCBITBuWfQEKW8F/JzQsq9vPhildKq6HH2MiYS2GtQRFZKrinPv2G2fJvfh3Z4kchoy0aG17EHFLf84O9KP7WaLV9WvK28iuVdQ+eQemuk/BwnOh4qW2cZJDN0I7LHhD4zPhBaiMuvXzSl5T61VFQz5j7dULlvACh9yoPQqrjb3LJk1yu74hntxLDOfRrkICQTsCtbvpzMy86SPNp2Lbjl1yd+ssNyH2vRM9Mt98q5NJKUe6MyWWaJlSEfAPq2KwjKYlMpvPCYe2uLyPEsdITKMtozKQ9PqGfslq+cvX4RwI5s+VbmO0aWeyWtQyoNDfK9S/R09OUI3d7v5W4dzS2/cW69cu/y83UbFbWKcp8lKfe8B6mEyn1DQOOa6s74FzmBkRNXYY1eHhzMCDGHXTH3QrIaei1Y2PUEDNo1o4OosaEpSKgXtNxrt8mkEUoZg2XLfY1VE7pESYwM+QDQODdLI4tZ1Kzs+ph7i275+kz4htvYsNAkE6pYobi0G2wT0IbQBH8G/zZtudck1DPXRnDfkOejQjo8IOVFkYQt94qnkc/6go0/ILCquCyt8xt5UcUouaXi6ZmvuOU7cM6YyVTWx9xr69ynUaAGCJX7BoCQVsSV14PbVm6ra52t3Bta7p0nJiGuIMwt32zMff2w4bExa7osj9yuqZj7CKXwgMQXB2MdXyDcL99t74FoKPckR8qWb6flPh7lXvEaMB9zr91Pn5Xd6H7FeywhRFj9byOUxRGPRcu5gj6WPnZCvfqfsGbxk8cMS8+5bnFC/t3GtaOYWLHcq2FENixKjJu5HIOf+CKtyY3lUJQag2damS82yqblPh3IiWLdGgrsdqjcNwDU8CSPJy2xYnZQLU3SUlp+Jk4ME+qlQQ5CMgH9PMDs5Mww8Z0N44eQJsshJShxomXLT1RBjGm5D4TL6MCh1DR6yy8A1Nqk3AcCIq6Ye0W5t/qMKaeQFVbnPnzbeJ+TOimuPRqdWzSKq7140VvuDRPqCaNSeMGfZq+kPE+wcjdCuQBCKIsu6bIIJ7rgohp4vNbnf2//sAEA8NRnK803YhG5Xxu55VfVhWK+geB4Tet96lDeazlZXnVRj5c/tZhW7r/88kvU1dVF/H7Hjh0YOHAgxo0bh4qKCrOHITagDOweyK6p8fe0Xzbstl+oBJEHcCcO0kYr+FypJMQcYXXuLcYwW42N16PW7vZ4pJJdibrKCnVcM1LuEz3l2An1RLiMGTRGKUquXL+9NiAMLcWJsqe6Lq5LpWTnNrsYpd9Lb7k3esbiXew2SjxmRLfWWuXe6iOiL4VnVOc+EAhZ7kOx+daOrymFZ+EkQp6P4SUWU+qWbylbfvCnnTH36ZyHyfNBQ7d8xXJfHyYD0HqfSkLvNR9j7tOEaeX+mGOOwc6dOyN+n52djbZt2+LZZ5/FLbfcYvYwxAbkl6aZWs9nTFycDLESQi5D5ETLPd3yCbEPuyzMcsx98krhmbOGySWccgyV+wTd8mMm1Mt0y329ci8pQXa55cvu7M0bZUfcLt8uyz20pfCiZcuP9znxx+FDnuX1qAsUdgWxKIsuqrt9hGz5+kUAqItx5q6lphSehccg5BES+kxZP0pliKB82RJWzpW+YWO2/HTOw+T+GDWhnpR/w4nhnJlKjWy5Zym8tGBauY+1CtO0aVN88MEHmDVrFj744AOzhyE2IL+c3OqWLyv3ThykWQqPEPsIc8u3o869+pkNVivFEiaVwku8jZAcWV473PJjHy/ccJ85Y5RR4rM6m4KilXayfR40zsmKuJ0S72/aSqjbTSmFV2dDQr14nvuFNx8dLpLFSxieUM/Aci9EmBJtNQGmfA+s5A0IBMKfq3RknZevm9mY+yyffXKncx4me6EYK/dKQr2Qcs/5WOpQvClyfF7XJvF2O0mPue/YsSOKi4uTfRgSlXC3fLcNdLKVy4nuVU5ccCDErdhV596oFJ4dPVWZ8Mtu+UBiyrI8ZvgM3sSJnrM/hnlSILMt98riRphbvg1tK8p1lteLJrmRlXs1u71JS7EaQhcWcx/Zch/vuyee92ZhQa76ux3hDIDkUeHVuttrZAvI564tmWf2GdUm1DPXhoysXKdDYdEm1EvQqycJpfDSOQ+TFXrjOvf1bvm03KcFZXElhwn10kbkt5SOL7/8EosWLdJ89vjjj6NJkyYR9ykvL8e8efPQtWtX0wIS68hu+V4b3bJSifwyi8e9MNUYuWFyMCPEHixb7iFNzm2x3Ifc/fUWtXh1Inly7DOw3CfqSmwm5j6Txii9EgkAtXHGmceitv5mZPk8au1sI3w2xWIrZ+ANi7kP3zZuy326kr9JfQWI4JYvW+6h3866W76V2yEvECr4dIsuqUC7iJjYvmoCUBsS6pmVwU6qY8Xc14XqrCtYCc0giSHnkrGaO4OYI27lfuHChbj33nvh8XjUwfrxxx+PuL283aRJkyyKSaygTjQ0cafu6mnyS7TOgaO0cZ37NAhCSAYQroRaa8frlcuAWhBM14ZX55YfEALeOG3FsrLlM9B4ErWMxbIWG8XcZ9IYZaSE5WXb45wYcsv3qrXs9XRsnh8qkWa6FJ7271Rb7jXW6bhajY2+ikHkhHqhviofP90J9Yyz5VtvN1H040wi6Be+3Db/0xNvzL3Gcu/yc04mM3/aiI27KnH94N62tFfDUnhpJ27l/uijj1Z/F0Lg/vvvx4033hjRcu/1etG8eXMMGjQI++67r2kB169fj2nTpmHevHn4448/UFZWhpYtW6J///4YNWoUzjrrrIj7fvfdd5gwYQIWL16MsrIy9OjRA+eddx5uueUW5ObmRtwv01C6lGy9cpuHkjwwO3GQoOWeEPsIdx+3pixps+Vb65dyX/dKde6DbcePrJQZGO5NT+Cjfq/bxOq1cBLK9fR6gEfP2hfTl6zD2JP64sd1uyy3rZTeyvJGjrkffUxPbN5dqZHFNPXPaihbvlIKz4JyH8d2NnniGx43quVeypav9CerjjaahHpWsuUb5HJQxpJ0KYxmHy87LffpRMmGD0RQ7uu/z8umW34shBC48Z1fAADH79MWfds1tdymnFBPLUHL+XBKiVu5HzRoEAYNGqT+fd999+GWW25BmzZtkiIYAHzxxRcYMmQIfD4fbrnlFvz3v/9F8+bNsWzZMowbNw4jRozAeeedh9dffx1e3exoxowZuPjiizFgwADMnDkTHTp0wOzZs3Hbbbfhww8/xOeffx41pCCT0Ljlm+xo/oDQuDummoDGcu+8QYKWe0LsQz8+mXfLD8Xx2uWVL8vm9UBj0kukbb+kNESyZiZCrGskhFEug4QO4WiU6+XzenD2QZ1x9kGd67+xrtwr75xsnxeNornlm7RSLfxrG8Z/8DtO6tdO87maLb9efzG6X/G+D+MRSX4K7fLyi6cUnl8IqeSccnxri3HyPbByBnrPAyB0n20qxpAwiV4TveXe7YpWtXThjZ5/ZTEs2+eFz+uBPyBcf87JojIJyarVhHpZXrX/ZNK7xg3ErdzrWbhwIVq2bGmnLGHs2rULdXV1ePLJJ3Hdddepn/fq1QuHHXYY+vbtizfffBPHHHMMLr/8cvX7VatWYdSoUWjVqhXmzp2L5s2bAwBuuukmVFdX44477sCYMWPw0ksvJVV+pxAwmEQmOs5V1NShIC9yCaBkIyvPdmVAthOjlzzfJYSYw75s+SGFwWqCrlCbod+9Xo/pElWKwmbkkg+YccuPbbkPz5af0CEcjT4ru4LHBgdzpaRels8TMaGeB6GcNok+r5dOWQoAePGL1fVtBdFb7o0U7bhL4dXLlJftVROOtW2ai6LS6tA5JMF0L4ewRNwmINT+oCbUs5ot37aEetpFh+DvqXdvlw9lOebe5ZqWbLmvNZh8hcaC4Pjqh6DlPgI7y2vU3/OzIy9cxksgINQE2Dk+r6rouz0UxG2YDkgbNGgQsrJirw2Ul5fjvvvuM3sY+Hw+jBw5MuzzDh064LTTTgMAvPPOO5rvHnroIVRXV+PSSy9VFXuFa665Brm5uXj11Vexfv1603K5EW1N5sQ6WkWNP/ZGSUQev524AmskUya5vBKSSuxyyw/Fy8rZ8i265Wss9x7TCpGivOvj9kPHMS+XEcaW++SNUTN/2ohH561I2aROvp52U6tmy/doknTJeDyRLfcrtpbikXkrUFpVm9Bx9YnbjNLNJBpzn+Pz4qtbj8EXtxwdlj9AY7mHYjm3hj4XQiTLvb6UodXFOG1CPfNnYbRopDiKpkthTDxkJ/jT57HnnqYbOebeyNgje4ukI/mhm9hVHhqT7LhCcoLD3GyfaYMisUbSS+GVlZXh3nvvNbXvKaecgp07d6JpU+MYkE6dOgEAdu7cqX7m9/sxc+ZMAMDgwYPD9mnWrBkGDBiAQCCA9957z5RcbkOOZTPrli+vlKYDx7vlG8bcp0EQQjIA/fBkWgmVLDiqzmezW77ZLNaqG3mExQH73fLDlzWSqXjf+M4veH7RKny3ZmfsjW1AOZdI19MKsptvkwhu+R4gouV+6MTFeGHRKjzw0R9xHU85hZDlvl65txBzL4ctdG7ZCF1bNQ73ckhBzL1hfolA6Nn06i33Zt3ybc6Wn+469/KRErbcQ+uW73ZFS46zN3r+lc88nvRUNnATuypClns7ngu5kkGwzn3wdyca5TIZ0275ALB582ZMnToVy5Ytw65du+D3h1t3a2pqDPaMj+zsbGRnR3YF37JlCwCgX79+6mcrV67E7t27AQB9+/Y13K9v3774+uuvsXTpUtOyuQm5dq7ZhHrptkJrEuo5cJA2enHQDYkQc+j7jtnYVm3MvT0Tco1bvsejnXQnME76JWXLyHXc/oR6kgKsxqEmdAhT7Co3PwdIhFBstPZzOxRWtc69zxMxWz4Quc694gb/5crtCR03q14TDmXLD98mUcu9nDtHvxBi5IVi9TUm5/wBjMMk/FK2fOVbdSsbLPcVNXW45o2fcGzfNhjev1NC7ajGEY3lPr2J6RIdG8Lc8l0+N5EVyFoDdxY5x4DyuDNbvjG7K2VvIuvXSF54yfZ5XJvE2+2YVu6///57HHfccSgrK4upxCQjjquurg6ffvopgKCrvcKqVavU39u1axe2HwC0b98+bFsjqqurUV0dikcrLS0FAAQCAQQcWI5NIRAIQAihyqgqw0JAmYoGY9win0NYKao0n7NfOnZtnd9x198f4QXjNDmJFn1fIc4gPKGeufFHVe4h1Bmu1X5ZJy9iC23t+Dp//HIq7Xg9MNynNoG2gu3FUu5Drs8+D+BH/NfVSj8xe+8SRb0POjmjHTteuWrq3YCzvB7kRyivJyBUV8hI51xSWRvXMT31snk9or694DkFhNFzEt/70F+/4uD1eNTtZSu6R/ccCvVY1vqL8m5UnvNI2fJla2vweNb6a520wvLT+t0AduPj5Vtw5gEdEpPfr5UfgDqPMrrPyXqn6J/pRNoPSPcAsG9ukq73Zo3kli9EcE4oL1rJc17V+8WB80YnUCMn1EvwnWPYXl0dgKBiL4TQrA76/f7QIjvnXqaI93qZVu7Hjh2Luro6/Oc//8EhhxyCli1bGlrZd+zYgREjRpg9TEReffVVbN26FVdffTUGDBigfq4o4D6fL6LVv1GjRgCAkpKSqMeYMGGCYUhBcXExqqqqzIqedAKBAEpKSiCEgNfrRXW990RpaSkqyoOLFeUVFdi2bVvENvTXZvuOHcj3lydP6BiUV4Su9/adu7CtSXpzAOgpK68I+6ympjbqNW7IVNUGbKtBbQV9XyHOoLKyUvP3nrJyU32puiZolSgtLUFlZbCPlpdHH/tiUVJVp/6+fXuxxnJavK0YFVGyqcsU7wieowcCO3aEW3SLt29Hk0D8Y255RWXU7+v8flRVBcd/RcEqi/O6Wuknu0tKsG2b9URNsVBuw44d2yEqQ+9+ZU6gx+/3x/0c7Ni1GwAg/H74q8LHegAo27MHFdXB91JFZaVh25W18R2ztjb47igtKQMAVNf/XVEZPu/YXVIaV5vFO4JyCxFQtw9IC1UeQNPOzl3B7f3+gKX+Urqn/hyqqrBt2zbU1YbnHSjZswd5Ivhs1tWfa3l58NmvrN8vUUpK9xh+nmhb23cGr0MgELoOu3cFZautC7+fyXqnlJSEnuPi7TuQU1sW9757yoLyKtc+EBC2zE3SNb9RxnWFzVuLkJvlDft+z55SKItExTt2opkn+hjZENklzfV37LR+jYpKgv3Y6wk+H/L7cmvRNimpI+deZtizx3hc02PJcv/ss89i1KhRUbcrKiqy3T35n3/+wc0334xDDz0UTz75pK1ty9x+++248cYb1b9LS0vRuXNnFBYWRswD4ASCq+MeFBYWwuv1Ijt7DQCgRfNm2BMIvqhy8/KiljFstlWrPLdq1QptWjVOntAxyMndrP7etFkztGlTmDZZjMjNC3/J+bKyk1oq0q188vtWXP3Gz7j1hD64alDPtMqi7yvEGeTkbgVQby0TQF5evqm+5Mv6BwDQvHlzNC4Jvofy8s21pZAluZm3a9NG4xbaqrA1msZZVWRnIPiSzvL50Lp167DvW7RoiTZtCuKWKyd3S9TvPR4vsnNyAQRjx6vr/GjUqFFc18JKP2natFnSx0F5jtGmsBAtG+eofzfbZmzp8Pl8ccvVaEtwgtooLweFrZobbtO0aVNkVddbrXJyDdvO8noMP8/J8mrcWXOyg++Owqr6Z8njRZs2bZCTszls38ZNCuI6jy01u4OyZYXOOyf7H/V7j0crW3FdcNLv9Xkt3b9GjYPPeaNGwX6Xm7MKgHaBpFGjxmjaNB8AkJuTgzZt2qCgSVAhzYlwLWOR39h4YSzRtopqg9chS3peWtfUK0Se8GuTrHdKU2lO1qJly4TmY/mNgvI2yg/2f4HEr4MRaZvfeFdo/mzRqrWmioUvK+iV26J5c2T7NgGoQ/PmLdCmjXPn7emi8bqQd3LzBN85RlT6gv0uu37cyJPc/lsXFiLbF+wTnHuZIy8vL67tTCv3OTk5OOaYY2Ju17ZtW1vdLrZs2YLjjz8evXr1wty5c8NOVFG6/X4/amtrDa33FRXBF0uzZs2iHis3Nxe5ublhn3u9Xsc/jB6PR5VTjXnzeuGrl1sIT9Rz0IdSeDzpPWd5fSgQQ/Z0ECmGzWlyOoFb318OAHj0k5UYfUzvNEuj7SvEKQTHnyxfUOnxC2t9KcvrlZKHWRw/pLExK8sH4Q/97UH8z5EyYvi8HnVc1n6fmJyxYhoDIjxpWSLHMNtPBJI/DsreEz6djEbZ2dXv4pRL8fDO8nnRoXkjw208Hg+ylImr9LzKCw9N8rIMj5mrU+6Va53l86nH93q9hhGxgTj7hqjvUz5v6J7LrszBhIChdjwe6RpauH9yvLfX6zV0yw8AEGoiPd1z5jHXXyPZlBJvK5TlX9k3dJ+NrY7JeKd45HuV8Hysfjz1hj+fVkjXO1M/1unPR60O4PWGkghaHfczFPlaekz2NU17uv7i82ljf7RjDOdeiRLvtTJ9RY888khs2LAh5na1tbX48ssvzR5Gw+bNmzF48GC0adMGCxYsMFTOe/YMWQK3bt1q2I6SiE/eNpNRE+rBfH3WdCeHkydvzsyWH/6Z25PWJAt5QkmIEcqYlVM/MTDb5+VM19GUPDNtKo+xJlt+AgmJ1Dr3EfpDotmdYyWMEgiN47JykgnI76dkZICXs+X/u2MzTDz/QLx71aHa48A4W36VVGmmSYRkfLJLsUx4nfvwbRLOli9dEPnZi3TdrD4ioUSHkUvhBaSEeqpOD+X45gSwa56gtCKLnY4kYVoDh7n5mx0J9Zzw/q7TGQxrdflGQucbuldMqGeMPH7YcYmUcUZ5x8j9neH1qcO0cv/www/j7rvvxqZNm6Jut3Pnzrgs/LFYt24djjrqKLRp0wafffYZWrRoYbhdnz59VKV/xYoVhtson8ux+pmMnO3VrWUp5IHZiSVNDOvcO09MR2CXkkUymPq+k+2rV25MpstXJhNeG8c+uU1A6+WUSNNqXfYI/SFRMWNVEQkqUNAcMxVDaSrGQY31KQlGILnOPQCcsm979GmrdV/1eDyGJdL2VIfcUvOzjXMP5Pi0QiuPRJZPu1hgtHgUt3Kvu/fB3+WDxtVMwoSSOEZW7v0BedFMXwrP5HFterj1cgGSkpymuUjCxpn6n3IpPLOLJk5Q7v06ZV6v7MsLSiyFFx2Ncm9DtnxlUU3pL/LzwgWW1GHaLf+9995Dx44d0aNHDwwePBi9evVCq1atwty5y8riT/oRib///huDBw/GXnvthdmzZyM/P1/97tdff8Wtt96KefPmAQjG0Q0bNgxTpkzBggULcNxxx2naKikpwdKlS+H1ejF8+HDLsrkBI+tV4qXw0ov8EnXiIG1YCi8NcrgBB8wNSAr4Z1sZ/rvgb1x/bC/0bptYHJ8yZinxeWb7vDwxD1kCTTUV3qZXKe0VIpGm5VJ4RopVohOh2HXu5XrXymfJH6VSsZAsHyMZi4fK4lK2pITrx7FIlvvq2tgLU1k+4xWJLF17RpaveJ8Ttd58BGu9/qopPcbq3VMt8mE17kIEhFC930Il85QGzB3XNsu9QZ17Oet8qpCPlPDCn0EZRCHMebVkeT1ITXHLyOifeX2lEL+kYGZK+b9kYbflXmlPGbvkMcaJc/dMxbRyf88998DjCZY6UBRrPcr3Vkrh/f777xgyZAgOOeQQvP3222Ex8Dt37sQnn3yi+WzcuHF44403MGXKFNx+++0a9/2JEyeiuroao0aNQteuXU3L5SZUtzKk56VkB/Jgrl+ldQJGE6x0hzI4lWSUxiTO48KXv8PW0ip88892/HjXcbF3kFB6jqJM1ZqcFIS8lkLPnVXrRJhbvif8u0TascstP3adexEKBTCwMCeLVAyD8jHCr6b18aZOdTWV457D21Wuq6xrVMtlu+I8nkeNj9eGpRjdr/gt99Hd8pM1LPtV5ViZ7IdvEyyJpVMKvNb6q13Ptt7bBTBexEklCRtn6rfXlIsTAl4TfcMRlnvdBaj16y33oTFa9diiYmmIPHe1U7lXnhPDEoUk6ZhW7gHgxhtvRJMmTaJus2fPHjz11FOm2v/tt99wzDHHYPv27Vi7di0OP/xww/b19OrVCy+//DIuueQSnHTSSXjsscfQvn17zJo1C+PHj0f//v3x9NNPm5LJjcgvJ6/klmWmjXQhD+ZOXJgwGrQcKKYjcMDcgKSAraXBsl07yhO38yh9J1t1Sza3oKfmG5EmeZYt93a55QekCajBJDvRxcGYlnuErofZ94AZMsFyH3LLj2K5lz3jIsTcR7oWYSLX/60uFqjKffi+8T4nsS339oSH6NGHAxgdJyAkd16dR4zZtXy7FG/VxVv6LLQ4Zssh4kK+z4kueKgJ5uT4Z5OyZzngBa73ytDfayGdb2jBjRMyI5Lllu9TLffh35HkY0m5v+WWW2KWwti6davpcnWfffYZtm8P1v/95ZdfEtr3oosuQu/evTFhwgScccYZKCsrQ/fu3XHXXXfh1ltvjbucQCYgu5WpL8yEB7r0dkpZXr0LlhMwmkg4cRHCCTDmnsRC75avT5gUfzvBn0G3fHsm5EYxuB6P1u09rnZ0kyA9iSfUi3E8IdRzz/KmTjlJxSgoHyMZw4vilp+TFVkZ9ngiJdSTysomeDF8Ss4JJebeQm4XRbmRIwC0ir52e7uuo97TxSjZc0AIVb4snUuMWYXDLuXe2C0/va7eiS54KNdQ9jwxK7tRZY9Uo4+5178fQqGoHk2eARKO7Qn1dP1YuQf+gOCcOIWYVu6nT5+O5s2bx9yuVatWWLhwoalj/Oc//8F//vMfU/sCwMCBA/HBBx+Y3j9TULqT7Jrqtk6mXV10HoYJ9dIghxugck9iofQdo5j7Jat24NXFa3DP6fugY/N8g71DyIp4SHmx1jP1yorSvl+IxCz3cj4AG2LuYybUC5rug8dMZRxqir0DkpEtv6retT43K5QQT9+uB8ZWQtlyH++lUJpWJsjK4oLR/YpXhxUGi1KSrhclXMraDdS7hBuN/wKAv/4c9ZZ7s4+o3ZZ7rVu+vcdIlMSz5Qd/yudg9rpGSA+RUsJi7nWrHX5pjFaea8Z7G2P33FoxvskLhz6PB34I3oMUYlq5v+CCC+LaLjs7G0ceeaTZwxAbkLPlm06ol+Y+KY/dToxlp+U+fhyw8E+cTn3Xyc5SLPehAeC8l74FAJRX12HG5QOjN6NOau0v7SVPXswoIvrYRD2Jyhk7oV7IcqIooZmSUE9I74dkrB0qCnqelO3eSEn1GSh9suU+0vWOJLJP8rAQkueFTLzXV5+wTm7fSAbbLPeBkBU14jZCqJ4nyrNpNVt+chPqucsarJbAlBPqmbyycmiKPyDSEoOv3Ntsnwe1fmFQCi/40+v1hPqkW25WitFa7q1fI31CPaB+zufnAksqSfo0u6ioCNnZ2ck+DImC6qKEkLXJbCmVdCFPYJw4Phi6xDpQTidAyz2JRajOfWSry8ZdlTHbkSuF2OW1FMktH0jQLV9KqGfUI+yucx8Q4SWxMsUtP9kx94qCLtejD7PcSzH3GuXeTEK9+rblCXJAWPMQM1pM0ijcSRqWZStq8KdRfolQXg3VnRfWFOhI/dzs3MdoUSSVCqN8qETHMKMFSbN9X35+9InsUoXyLOfVe9LoS6XKY3QqFzLdiN/mubVfhI8zyoIQlfvUYdpyv379+ri227Ztm9lDEJuww3KfbuzO6Gk3Ri6xtNwbQ+WexELx1FEmBUZ5NuJRpOWxzz7LvYFyD09QooQs9whrR/O9zW75Gst9Ct3yU2K5l343KlFnleq6+Cz3SkyzfM5yKbxEL4U8Qa4LBAz3j1dpMcyWH0cpvO1lNZj/+1Ycv0+7OKXWyxf8qa9fr5EtIJXCC0vEZe75iaRI+ANCE3seCzl+W8FoESeVmM6Wr0moZ052vXIv94lUIETIvTs324s91eFeGtps+cq9SqmYrkH73rDDch+80PJzovxK74nUYVq579atG0tauQSlO3kglQUxGbOVLuQByIlKsxvr3H+5shg/rd+F64/trVnRTzYcNkgsFMVdccs3W/5SW+deSdBljVC2/NBnZsZV2ZJq9C5N1NIUyw056NoN9ZhAipLdpeAg8nVPxrxEsdznZUuWe9028uJ5ZMt9BLd8fZ4AtRRe6PNICanifebUviD5a2om4FHeAVdM/xFrHz4lruNEPm7kmPuAkeXeE/rODJEU77qAQFYC+qhRtnz5Ulkt9xwv8rOT6NigLuxIixrCpLIrn7vZRKdWkG+rkgMjrBSetHCqelm4zaKVIuT3hh1jtXIr5LFFXUzmPUgZlrLld+zYET6fdpQUQmD79u2oqKgAAHTp0oWLAGlGTqSTGZZ75wlvd8z9nqpaLPqrGIP3aoNGOZa6aUQufvV7AEC3Vo0x9ICOSTmGET6OByQGStfJ0WULN9omnnY09Y6T6ZafQNNGllSZRC1N8ZyXMnaGMkin1qqeLOTwCz12zD+UmPtoCfUAGCoSVbZZ7o2V+3jbDJVeDH9ugSTG3Ie55Rtvo7fch9zy7bfcJ4KIsSiSqCeAHSRuuQ8fa8yOg3J/0rvDpwJ5oTc329izi2758WN3Qj3Vcp/mMJaGjiWt4YcffohYCm/r1q145ZVXsGzZMsyYMcPKYYhFQq6poRdU4nFn6euU/oDAlt1VkizOw2jQsjKO3frer5j721YMP7ATnjh7PwuSxWbF1j1JbV+PE9zyFUtcToonZSQ+lPmGki3f0C0/jv5lmC3fJrd8bTKyxJ+jUN1xY9fxhGPu49he2UKt052CuXlKFhB0rt9m8QcErnjtB/RpV4CxJ/ZVP6+uM7Dch1nb5frnsnIvJ9QzPm4kxVqTvMwfKaFepLPRbxf+3EaMv7eR8PATYy+VMKVAWTAzfdzIlvtEUOdPML5WfiGsTaQTlKP+r8T2rf+pzeFg7srK+9WkQbmX72vjesOHEjajoM21Ur8fFUtD7C6Fp69zL//uxDLWmYrphHojR45Efn7kMkTt2rXDHXfcgcGDB2P8+PFmD0NsQFHMPTBfnzWd4+K1M37CjvIa9W8nuvYYuuVbEHPub1sBAO//tNF8I3FSVl2b9GPIpFu3r6kLoP/9n2LQYwsd+SwRQJmOZvnsccsHYJ9bvrRYqqDMYxIZV42ULZlEleJ4lHu9i3RK4uFT0MVkDw0rfLNqOxas2IYXFq3SfF5tkC1ff7xIde5ll+FI91T/qfJsye0HSy0avWfiu8CG2fKjxtybO46ekOcgND9lAiI8EZe6FmfWLT/CjomO+cr8SZZb7rPpmBsl+toyyhtg9tUnn2863PI1yn1usD/KC2hA6Nx8Xrrlx0KbUM/6NVKz5fvCxxknhtRmKqaV+ylTpqCgoCDmdieddBLeeOMNs4chNqBNKpU6i41dKIqughPHaGN3SQcKakBZVV1Kj5eO0jky63eWo7zGj6LSalTqJgXEGShdJzuqW348bujBn3IteasTDGP3ZsX101w7hknGTE7go6FPrJWSbPkpTNpnZH1OZLSpqDEeD0J17rVTJv3xjKoQyMpkolfC4/Go1tZgzH34NvG2GTCwqHk0z3D0/c3eRv29MX7WRVisrtqnzB3WNsu9MlfyRFgUSZXSKCI8U4nsK3swme2X8jiTDrd8+Xo3yQ1W4tK/xwPS2Oq2soWpRjM+2XCNjN6PRoueJLkkvRTepk2bUFRUlOzDkCjILkpmLEyAswZGB4miYhxznwZBTLAnxcp9ut3yS6Xz1a/4E2egdJ2cKG758RAqAWVOATeUTWeJBCQrYwLtxKxzn+BIF5/lPvhTsaqkRvFO+iHC4rpNtxNB2Lgs9zBOqBdPpRf9fZBdwJWJcaSY+3gVPaNcET5pBpgst3zZiqo/vryNPqGeVSXUrph7o3wO8u/psEYmekTZ28hq3qV0u+XLizORLfeh8YCKZXQ0CfVsyZZfb7k3SqjnJEUiw0mqcr9y5UrcdNNN6Ny5czIPQ2KgdCfZLd/NfcyJFnHjbPnOk9OIPdWpVu5TergwdpSFQjzkZFfEOSiTACXm3mw1CjmZqE0h94Y1o2FCEZET6hnF7Cc6zMUzd1VcxL0WraKJkJJjKMqLxcJ3kRK3VhnE3OuP5/EYJ9ST9Z9I74Ro8cCq5T5CzH2811dfbx7Q543QotfBzd5H/cKL0RqCMEqop/Ypc8eNbLlPbMxXWjGqcw+kzgtSPpvEr4mk7Fp0kZbPNy3Z8qVF0fzs6G75Ho8Hinc4FUtjNIuDNlrufVK+EMbcpx7TeUB69OgR8Tu/349du3ahvLwcAPDII4+YPQyxA2kyqq6GJ5yQxTmd0omDtHGJojQIYoJUW6/TXT1je1m1+ntVrR/ZaZSlIWDmdivdSbEw60sdydtEQ1vvWPuZWVRLnvSZGWuYXpmxSjyWqX+2lQEIKYypiblPxTGCP40uZSLPn3wN6wJCDQuprU/Yle3Tu+VLv8M4tjSgWTAwPq5eQfQYKODBOvdG75k4LfcGniKRMucbETx24s+q7CIdPI6R5V6EWe5DOTLstdwnqowbeepo3PIdOB/RI4cW2DUOAunKlh96jhVPmvd/2oRrj+2tbiPnM7G6mJHpaC339rUnD5VKf3FDX8kUTCv3a9eujblN9+7dMXr0aNx0001mD0NsQJ6Meky6ZDmpTzpJFgW7E+qlklS7q6U75n53RSiBYFWdHwWpSHXcgDEThqF3yzfrGRPaLTTJsytbvrFiFH/jagIxj8dQZ0pUzET6cSihXoIHMUEqxkGje2KlHSBoZVK88FVvDX2GfN3hFGOV1nIfe/Ic7d7JCzG2lMKLpNzHTKlnDtmKqj+mvI1fdw8tW+4j7Jio5T5U5954ISRVSqO8sGPWOCO75VvNoQCkN1u+z+NRS+Gt2V6OTbsr0bF5MMl3aEFJdstPuaiuwO6EekobWQaWezfl+nI7lqa1S5cuRevWrcM+9/l8aNasWVwJ90jyUd3yE3DJWr6pJMlSmceJFnFDd0mL2YVTRaqV+zR75asWIqDeLT/DlPuqWn9YbHA6MbOWo/QBxVJqp+XesheSqqyEPlJd/hNo2siSqjlMguNAIhMzs7lXzJAKr6/ode7jb0d+zGoDAeQj2I/0iqeCfoHHKLY0nlJT0SxaintrXUAYTo7jzpZfv5lR/WkgDst9XEcJJ8wtP8I2kXJQ2O2Wn3id++BPbcx90AsyINJUvSfBQ8oLFFb7vrxfOtzyFctwltej5sIAgHIpvFBejGOm9ujYnVBPcb03WkSk5T51mJ7WtmrVCl27djVU7omzkLPlhwb26PtM/nJ1coWygBMHaaMJg9mBTF+zNdkkmj3YKulOqCefbmWtH4hc0dN1/LapBKc99zWuOLIHbj95r3SLA8BcGEYoW35ky318DQV/yDH3Vq0H6mIpwicvibnlhyZBdnSJRK6RYlXJnIR6wZ9WQ37kia4cH6pcJ73iqf9LdT+NYLmPpJXpFUT5PBTLfZ0/QkK9OK+v0TloMlrH8Eow+6ioFRp0ifL02+iV+1BeCHMHti1bfoSFI6/HE1yUSJXlPsLvce2rjoN2JNQL/Z7ObPk+nwellSEvPE01ATmJtFf7GdFit1t+yHIvjWE+ZVyk6T5VmE6oV1xcTMXeJchu+SGXLA50dmKo3Jt8e+pd3ZJxr+Q2U265T7PpXj7f6gzLlv/YJ39BCOBFBy3OmbndyoQ+O6s+5tlkQj3ZXdtjUVlQj2toyVNkir/tUEI9S+KEtRcP3hS6SaYyrt9qxE+tdEFk9+2ApBzJ6C33Rpm548mWH91yH2rTaLN4r68ik/zcpiJCKrwUnnHMfZ1OuQ/Fhps7rm2W+/qfYV4bKQxtsYqcWNRM8k+jtoD01rnP8no0lW+q60LvcqOYe2bLN0Zrubd+jfT9GJAs99TtU4ZtDqnLly/HunXrAABdu3ZFv3797GqaWES23MeTTMWog6dzLaCwIBfFe0JJ0NLiBhcDKyWK9NToLPcBYZ8CoBDZspR80h1zL9+rYLZ857iwW6VJrvNiDKwk1MvLCt6bmrpgMjFZMYjPLT8kg9UYXvW4hgp84nGsGsu90XESlDMxy709Cx3xkIp3RyQFDEgsg77s5itb7vUKqtS4Bp+BVVR+D0R67+rvndxsKKFehJh7wxbDUUvSxemWr79qVi3o0bLlBwTg0ZXQUu9bupX7CCEZ6r1O1ftTOkyifUpbDtlGy30aLLHKMb0eD7q3bqR+Lns8atzyk7wIM3HhP9i8uxIPDP132pMFm8Fuy72cE0HBqIoISS6WS+FNmjQJnTp1wv77748zzjgDZ5xxBvbff3907twZkyZNskNGYhOy5T7amOy0sm764dKJ44PRNTPr7q53yzeKN7aKbClK9YCbfrd8SbmvyyzLfbKU+1827MaJT3+JL1cWJ7yvGeVOuUeNckILL+HhKrEblie1irJg9XGXF0sVzCwcaBLq2UBCCfUsTvATITWu/xGU7wSRnzFZudcrqArahHSRSuHFnjxHUxCzpDaNE+rFd32N3Mu9UZT78OPEdRiD49YfK2pCPaHmBAhLqGd2UcG2hHrh1w1Ibd4KPYkn1Asih2aa7Zf6pJOpRrl9WV4PrhscypAvL8wZLmYkabB77JO/8MZ36/H75tKktJ9sNM+vDZdIDptQMApXIsnFknJ/1VVX4ZprrsHmzZshhND837RpE6655hpcddVVdslKTCKvPMeTUM9pSS8UJfng7i0BOKssn4JxLKQ9lvtkxMRrSz6ldvVdk2k4DYO9vFZSWWOvcl/rD2Dz7kpb20yEJnnJUe4vfPk7rNi6Bxe/+n3C+5q5w6rlXkoMaKZko5AUhpAeI3tumGiz/qc81zcz0ZcT6hkppYmOc4l0JaVMUSrL1CWTUKkva+3Irr2yi778HMmEJVlTFHF58dSEW75RKbyIbvkJDt/aOHvpmElKdaoPmTD2UgmVwlPd8tXvzB030rslUYXUaDEPMA7BSCZW5j2hhHo2WO6lHZNheIiFarn3etA0Lxv7dWoGINR3gzpIcNt457xmke+9nNDPTcjnYEt5xGiWe4fpFpmMaeV+5syZmDx5Mo444gi89957WL9+Paqrq1FdXY3169fjvffew+GHH46XXnoJs2bNslNmkiCya2po1TbK9oYZee2XK16UpC1KWSwnLv7ZGXNfrbMmJyNpTZ3GsmR781GRJ5fpGOyTWcrnrElLcNjDn+PHdbtsbTdeZMu9nc/NHisTFxO3WNkl2+dVLZdVtdrziefRUSbEXikkSdnv67+3o+9d8/DMgr8Tk83AkmdGMYpV5z6ZbvnJdlWVSc0xjC3rABJK+lATwXIvx/DKhFnuDayE8cS0RlPQfbEs93F2MEUOWUn1RVD09dtZQV+m0NByHwhPqBey3Jsj0qJ44gn1gj/1Uqezfnqih5QXWDwW5ZZ3S3UyXiC8L+bWh24pXjeySPKibjLmGvJ44cBpaVxo3PJtOAmjxJ2hUnhuvUruw7Ry/8ILL2DEiBFYtGgRhg0bhk6dOiE7OxvZ2dno1KkThg0bhi+++ALDhw/H888/b6fMJEHkl388A7uRJTedXVJ56Wf7lLhW5w0QRhPrgDAnayos9wGNcp9a7V4+m3TcSu252yvALxt2AwBm/rTR1nbjRVbu91Q5w5JgyuIkLUgq1nu9lT2eVuVEaCG3/OCHd85eDgB48tOVZkQzTqiXwKnKbvl2qFGJTF6NSrYli1R6WlkN+ZEXkGSrZCTX7DCFT6lzr7Hch76PdCX090FuV8k0XRcIGC6UxDuEGSUF1LrlR792Zh+VSO72WtnCS+GpCTBNHjjS2J7ogm6khaNULpAB2uuf6CFl7wM7S+GlQ7lXbp+yMKXUulfmTe/+sEHd1ifH3CdBVk0SP5cqrvGEDZlpzyj8h275qcO0D+dPP/2E+fPnR30heDwe3HrrrTjhhBPMHobYgOyiFE9CPadVq6hVlXulfFM6pTFGHrN8Xo86iPkDQp2cxYs+ttiuuDY5IZn8Uk513Jw8WUtHiIU/BZOTnCzL6UxMIQ/H5TV1aNE4Jy1yyFiJufcAyMv24v/Ze/MwSYo6b/yTVdV3T/fczCDIMTgMh8jh4IEnCHLICiKKu/KuyOqri64/dGU9VgFf0VXXVXcRLw6vxWUFRF1BBRQWQYaBQY7BARwYYGBmeu7umT6rMn9/VEXmNyIjMiMiM6uqe+LzPP10VVZmRGSc3/u7ayIeH0GH6Od8sQVNoLVmMtTkUa2nObOcnuferFkmxGU5ZJzM6tAFt8abqrmP96XJKI9NRQIx3lwV0vLFuAu0X9l+ywlPFX2R1EXUX1W2X+rOOanPvWB5QJGXkX6oNW5sifJo+RLNPfnNBspUeKbnnWLsp1MU9siCiWZMsiuLC6jXArN8cR53Nc5axmh/4sZHwnu9UrFZDSitlrcVYLNAxzAPxZk0cCeznpgGa2WmwJoCHR0dxYIFC1LvW7hwIUZHR22rccgBvFl++sYu0wC1Ulseau4rzCy//TYIumlRYt3GFEzU3Ofh1/bCjjEsv+z2UEvJpYObpoeSLTizwoIEG8yFpNmga6OVBykvwLF4vvHf87zQ7FKMj5BWLvW9lO19tswLI5RlsgGTd60RhjRrWbQ8HZQK1txzWsamBNTLp5xRMse4VHh+NFYUovUGt/cTAS+DtuZe4q9aVfjc604UdltJUna90rTns2l6kzT3QRDEfHWj1JV2UAbUs9TctzqgHq3FdE2FUzlvzX1LAurxQqDOkLmPjytnll+E5p5Y+ohuY9MFk7X0/ckEkTCP7jP1MXI+982DNQX6ohe9CH/84x9T7/vDH/6AF73oRbbVOOSC6HDS2djbSboWEHO9tva5J/1JJZY2fSn63OcxHl+79Qls2TUR+hfTMlmasWaBJ/ybVm0IPphg6zX3QRBgzcbhmFDHBnyaolYy9/SzeTuoX3t3w+zSlHii1ZaI6bufkbuXPR6Z5dto7lX16JdFBRk6KFpzT6FTxfrto/i33z7OpTw1QchAZpSpUeZ+SuJzH4+WH3324HEELTsTKC/JxnTNxmF89uePYmhkvHGdL5czy2+8lK8KqKc5iLKUbomae+GCfWA7vi6ZoYofRPEEGNMW3mfLhCr2vynDfZEKGikic2/jpmWGaY9QzX3kmmlZN3luqgUvXxPmcehzLzkfSsSapgghDLUmswnO2g7IW3MvM8tnZ1w78RYzHdZH4cknn4wLL7wQ992njp58zz334GMf+xhOPfVU22occgBvlp++sWfJpZs3KIMS+ty3YegSX6W5t9jM4j73egfo7X/ehF8+9IK8TEFbIbZrqokS+FaPXzPSAHYYaO5/ev96nPz1u/C+H96fuV5VCq68oCu04CKEW9RDg1iFPvcxs/zkMujPdaKW/93WPzuIqP3wmk3wLz7PfTYjaNOxZmmKCtPck886dZzz3Xvx77/7Cz78k1V29ZEzToSJ+wW1DuED6snLEseNCnbZtu1L1sJfXX43fvjHZ/DR6x5KJah5zX38Xn2fezXRDRSXolQroF4Q9XfE3GdjQlXCzSlDIapasNMwy2+W5p5T3Zs9G+2nXigAm7aae2GtU7N80SqjRDJYFLHXUYHC2HRl7nMOqCc1y29ijBeHOqx97j/5yU/i2muvxate9Soce+yxOPbYY7Fw4UIAwKZNm7BixQrcf//9mDNnDv7pn/4ptwY7mIP6r9pq7lu1Jmscc9++Pvec5r4UJ/BMEM9zn/7Cvh/g/B/UmcNXHjgPC2Z1cb+LhI74farmt8RPvBVjGXDESTGaB5O+vOaedQCAOy1yyIsICia8ujTfi2NoLJpBtWWMuZ8QA+qlFEzb4JGUSNnN8uPPR2Xrv2xannsjQYFhJxepzQLMfe7Xb6+nj7z3qW2Z6svKoI5ORj73TCsZKPb2en3ki2iWH2ru433BBLgPPLNd2j/0NVjMlrrPfRyq7v3Tcztw0fUP4ZOnHoI3HryQY/Ci9scFVNHr8BdsZ4rIHMtGiAbUY9kxdOIDJdarjJZvytzX/4v9kZVJbiYi4ZfdXsWVRT63xOdeMMvvImb5ohKDpsIroqnUyjLvtLrNAnX7zGMmy+KfsM+tEAbtqbBm7l/0ohfhV7/6Fc466yysWLEipsEPggCLFi3CjTfe6MzyWwyqaNLyuW8j05mqhLlvt6ikokksJfBscsjbBNSjxP2uiWqcuU/R3DfTF4oz2W5FQL1mmOUbaO47DAMuJoEOs83cSwPNO5+EzNOJMAQ9YbR8IRVeShGU6Kaa+6zEuDwVHvtNvxw+z72sIpOy9O8FIgaqGVtpM1a4Kl2ZKUYlmns+tRZ/PxdQD0KaT589Ty0A+N6YqNZS+yckjA3N8r926xN4YtMunHfNSqz7l9M4Bk8su97+5N6zZQZFqweZJUUQROcei35emObeOKAes7DhL8vSHhYJelaanpt0z8qc557MA1MXhzxALZ6AiC6crPkxq8eSV6zWmNJq01ZzT33uc+iiQBDmAfS8aS/afSbDmrkHgFe96lVYs2YNrrzyStx666145plnAAD77bcfTjrpJJx//vkYGBjIpaEO9gjI4aoT1VnO3LdmUdbIxsO0oe22PYj9RTc1G6ZZLE+HSRMZGRGigECso5kCk9b73Eef85QkU+K3w0BzX5ENmCWKTlOkq7nPKiCkAsnI554nntJ6jc4tylBE+2HGttG2WAT/En1Hs8BUkBP6hhe0/mixzSDoVEHPANNo+dEcY1Hu6VyOmeVTAQ9JuwVEe2pSQD0/UPVPVA7bH2q+L2XqVEz3puFx6X18oKsEzX1O21JMc6/wuWfru7vhQ51Vw6yad6YBapWa+xZGyzftEpo1hL2FzZkvKjJaGS2fzadKg7mv1gIJc09o3oJT4U1Xn3tec5+9j2pkrjG4VHjNRybmHgAGBgbw0Y9+FB/96EfzaI9DAaBm+Traq3aKaEkDtrSr9E/sryCot7XqB1Zm+eKBqcOk0XpEZsH3A9y+ZkgoM1mTXyRa7XPPma7nqN2mJoGdBtp4E//8NBQdLd/GLN8G0Z7loYvkuadjV0oRiogCr5BZCINLZfO5F7W2gBkBGeZrVqXCM1gnptO4aLN8Dk2oIikVnnYZfoBntkaZfaZCzb1acKqKoA7IzfJlfZE2BGnR8lXPDwnBCSkdIGtvGmyHMfTBFXzpxbaxmBpsvWeN6p5XKjyZpQ5QbIq1vMGayKdDtihHeKaZsXoYwsCLHtPcM5NvP2b1WCqRaPkF+9y3oi/yAGXu85jL4noHSDrPNqPdZzIKd7IdHx/HD3/4w6KrcUiCVHOvvl1GoLba575SivvMtgtkhHUpJMjMmUfxkNDRNNBNUyRCHtswHLtfbFbrzPKbj6IC6lHCwsTnPs9YB5zLQQHERmdFzyw/q8yEateZJm+86nP7lonmnhK12ad6nEmyCaiXZ5570/XbzFR4JnVY8+aNKuQB9fSKuOMJXgDK2i3OIwox2rxHU41JNfeSs1VyTeZz7/uB9NxW9e+23ZPCfazsuEZNvC6D7VQR0wjKo+VHbjfMUidrVHelWb6lz3187NnvzTnFsli8UbcVUchpVg7/TBGuX2lg5BCbuyybxGQtkKbDY/trEcNE62tluugs4APqZX8HmVk+G4PaNBWATEcUztzv3LkT5513XtHVOCSALScPkd9Y0iKW5rnPv1laqBICOLQkbbNNVNZfkT+eRXmiP7wGdaNrOsogHsrNPKPp27RiLItKF0dNAisGObnyNcuPPhcSLV/TIkEkAk1NIql2nJrlJ83zpDZ4XmRWm3XKycz6PQvBY1qeexMYR8svWOvI+Qcb1GHbDb5kTEwxNMxrumU+86IgRibgCQlZprkPkvtCdo2Wy3JEf+bnq7FlVzxVoM4YUnNqjujmgl4ll3HXk3YBP0WXCbnPPTHLb2juvYznvTKgniGDoc5z3zpLQtMaI5cM0m6LM1/s0tZEy+eZx45KpLmXpZNl862I85Ba67W7yfkfntyCf/vt43G3z5zHMEqFF3f/cZr75iGTWf7Y2Bh+/vOfY9WqVdi+fTtqtbjPydjYWJYqHHIANVnU0dy30ybFTNTrQafa0wxO1l+VDJuZqFnQ2Xw5c2WBCJGZUrcyoB6lTFoxlJToK4q5N0GlILP8IrQqaabwsnYA9flVMmDdqAlxNwmoxzHsqWVEn0tEo8oYT5MUaRSRsDRulp9rnnuDNlGCV2dKV0JtVvEr0KQG2zGhPsW2UKULFYVEFLKAdPVrUfR3ut/I+iJtCNKEfzpDGATJUayBdMHIh659EG85Yu/0ygSImm+5z32kBe3uEH3ujasEkBRQz25fFDX3IcPStIB6GZ4NNfdRajibM1/c11tqls8C6jWEX1U/4HzgX7bPYP2+Ak3C6f7ZbnSpiHdftQIAcMCCPpx51D4A6u2n9GYeXSQ1y2fC5HbvpBkEa+b+iSeewIknnoj169enEghZDlyH7KCapumWCo9uFHlFu84bsg0rCiBiTkiIzLyWWT5pQ8znXtJdLQ2oZ6nVywtcLvgciROZSaAO8oyWT8exCKJTlbZNhEhI1fwAmoH2OYgB9SjBnm5GzAsCRLN8W4OJsFjyfGTqqg9Ocy8RVRhZARALJ19jTmeNmJ0GW7N8W6hykQPpUeAZJsRsDI1mJ8UzkRUdEbL177zmPhonNmZpZvlpcQR0BDR+EEh9xzmzfOFl8iLbxDSFsvGo+lEwtO4Ki5Yftd0G6oB6M0Bzb1hnJNCMhIl2AfX4760xy+fnE3NbmSKa+1ldFVz/wVcDiN63CEGm3+R9Lg88uzVSuE7W/NyzF8n24lKBAhYHOayZ+4985CPYsGEDzjnnHBx77LEYHByUEls7duxwwfZaDLpgQ+13wsbeTpp7upHbENDNgNQsP2TuzctLy0mv24bweQkxI5bZ1IB6LR5APpVPjgH1qP+dwXMmJvxpoPOgCK2Kyj9chDjGpvMrYsC9yOc+ZpafXIaouWecWFJkdR3IiBcbf37KkGcFT/CmNyL0Q23CbtqM9c6qyBJQj2r9gGgt8QH1+PJlmm8mAKuG0fbj7ewslzDm1xrlJ7crVXOf/Hh4TyiT4sxlo3uK0sGE66VRl+x1xkkKwq7QLD+bAEodUC+vPPf25u1WoEIiw0dZGz3PizTZNsy9UHNrzPLr/yPmvj6xpmpRnvsXzekJA9UWaZaflOayXUHH8NRv3MX9lsdcFmNsAHxQUIfmwJq5/8Mf/oB/+7d/w4c+9KHE+zZt2oQLL7zQthqHHBASyiUPJT/d1E22SbXKz50G52hXn3uZoCSLyV5aTnp5G6LPOoyVmLalqQH1lF+ag6IiynMpZQz6M9do+QVr7iuWPvemh3qoaQI1yxei5ac0hdPc0/2DXbP08E563ijCPdHiyhgr27J00HTGRBO2/KUsiJMpRMsbmVl+LFq+5HOZBcBjwgEuYFXjXvKgbK+gc6ucsuZk57V4JvlBkKhRo+0Pv8ui2vuBtmsOg6hplc310alq+DkPzX0QyIMPAuZm+SpLnyKjsKfBtMooQ0i2YJpin9q6OGSBGIi0gzGOtSC0vqGuiJUCGcuiY9wUgcgiKcDazbv533IoXxa4M8x0NU36aCbAmqrs7u7GaaedlnrfggUL8PTTT9tW45ADIn8rXbN8SRn5N0sLvFl+exKkSQH1bDb8mMm8ptklQ0y6LumwMYG5b26ee3VbmwEuonyO7217uOdqlk+akJfJJB2vsqaVgU1QSIrwds4s3zcqhwZZ87xo/8hKi8vMm220jCLTE6/HvCxdt4mi04ramuVbW1OwqZ4hWr7I3LNxFucRhWzsor2//j2eKjXgGOm03knT3MvmnLiv1X3u65/VPvfpHbV7spp6j4hAqFfWZ2MNzX2l5IWa2Cw+90n7xJTxXhRf7wANmtucMyxLLdT6IEsazKxC2zxQE4RUTDg+5Qeh5r6LZHVh86kIKwPe5356MK6slePVeIy0PBRnUarC6Frkppq5eAdNWDP3p556qhbTPjk5iTvvvNO2GoccQP2tpltAPRooKTR9bTPDfFl/ZYkOKppTm0bL19Hcj022TnNP0YpqOQY4x9PGltCh2vCsh2sRaf7oe+nKIbKb5UeMb6i5r9a4sUvrqrivr3jdqEkx8H7RfNk6oHnuZU0x6bHI9Fnvpco5CTp0YFKHrTVFks+9LiZEaybmEy/MIwruUuNzRMgG3H+GIOAZ6UCyBdFy06wxZHNOVmcolCLXadka4QQwPG7O3ItjIxMijE7ykfLr99szoUl7se2eH3PJaGmee2PVPQBmAWnPaIlD0RLNvbAeKyTPfTiPOqN5xITnRcQHoIKddlM6KdHov9FJCXOfX/HcWZRFoORgB2vm/l//9V/xzW9+Ew8++GDifS4VXutBJec6QenkZvlFtCwdlDAoOgiULWSbeiazfDFavo5ZfqIlRvy3cUFL1bJUeM2rNkRRZvmc9YRBsdQsX4zYbQpK6OelVaEaj2Zp7oninjPL530ck8uItFV1hGlA2Q220fKJFkwsyoYh19W2J4EKCnRQLlpzDzpOxa9yVoOUAdcsIxYtP2D/1YIDyqiy+SASsjFGW2hTmrDaJlq+GEskQCAlupPM8mUYGZ+K6qj5+OCPH8A1dycreXyhXlk9zGqik5hTZwmgm/SMcSo8P1IwUDTbLJ8LfGZYJbU+YPugTbtFQVJLfO5Fs3zicz/WsCzpJUIiFtOmiBg0nFn+NGFcWStFBQ/3YwbIUuGxtd+MAIxBEODZraN7vAuAtc/9ggUL8J3vfAdvetObUK1WsWTJEsydOze2AbpUeK0HTSulY+omjZbfIm052wvqEaUb19psE42ZXSIrc88/o7NJcZr7hN/6GhLtcWFjb2aftnr4uIB6OR74lNAxWS8cc1/1OZNCU3CZAHLT3EcHchqjwSBLhWeCyDfZU6bCS9OSixoeMc+9LUtNLaEYorJNNPeRtl1qEm1TlqagoGjmnsKoBstBycXnPhYtv16mzIeUQRZUUdz741r0gHtP2RCYRMuXjaGYBcQP5OblfPv5emTVjpM+uuXRjeHfeccdoGyfODdl78PuqUgEDzbbWNLeZ7oXUbcMijAoZasPNA2EwlLPy5SWTHzVtoiW33ifqVoQaqN7O6lZfqTZzxvTMqBeo5miayaQzzvIhNZhaugmTJf/XPEs/vmmR/F3rzkA//yWQ4uvsE1hzdyvW7cOxx9/PNatWwcAeOyxx5T3ulR4rUWkqaIpm8w0va0CJdBDoqB9mgdA3l+hVD+PgHpaPvfR55h0nZqOKTb25kbL12fQikCeDPCTm0aw+oVhvPXIva0191TbmlXYQKdOXpp72ke6mmGxatOUg9SvnRFnNT/g2pJGiEQELfvAP2d7LMmqjczy9cuJguAp6jFoU1pZIpgmpajVFyTsR0mwpRRUEc1NoAyoFzIT8WdkjKqoGRXnaQD+PWXz2OQ9ZN0bExAHUYA5WRRrQK/v6ViOTuiZ6IuCl6R1RwWdoaVN3sy9ZXDPeEA9ewG+DfhYNWaQ0VE27W6PPPf1/2wP66iwPPeRWX6P1Cw//7bS7mhnTbGsbTLNfR5vEO0z0bVm5rn/0q/XAACu/MPTjrm3wT/+4z9i/fr1+Ju/+RssX74cAwMDLhVem4ILaOPx2ggZpJt+i/YtmkYni5lekZC1h5mCWfkLiloXQ7P8JH9nRnC2S7T8VoyknyMDfOLX/hcA0N9VCYmMLMg6tzmz/JzE5JSA02WIM2vuG/9LHtXM8Dl5U83yFRrDzJp7mSbXwoedaqCyir9NA+oVHQyMltoM5V6iwEazc1Wp8NiYyvqW03yDv4/1barPvV7zlJDtGaJGNQh4Cz4GlYm+CrQmU0FftA7V95Yl7bERACcxrqZ7rEpw1GzmnsLcLL/+30O2eEDiq7ZCcy8GbOtgZvfVIFRacJr7UmS2X1RbgMiNpx1B3XSYsErqc5/DO4gWc/RzMwIwLhroxsj4rsLraXdYM/d33HEHvv71r+Pv//7vE+9zqfBaCy4dFGhU5wTJdhsxz5QwyJr3tihINfcZ0q/Y5KBPuofT3Dc+tzZavvxzs0Dnfl7EySPP78SR+84Ov9tocIHs41BEQL08NDw1w36OHvdC4kzU3KcR/WIeeUZqsKdsLcrC58k1sWwdpOW5NxIUhEJQvXcKrSGasACbUYdMK22C57aN4rY/DwGo+31PViNBkoxYZaD9zeaTGFAvrrkPOAZXehZTs/2Utks19wKnEQQBCaqmYOiF15OmeiTF0nlb8wPlPBYFL0nrjgYXZZ9sBJ65au4VLh+RWb5Z22yRqRqiJClnEJq0Q577mFl+Y85M+T5GGz73PZ0RaxNq7gv2uW83pRMF5zLY+CgqeIB83G9lglZmkNOMPtproBtPDjnm3lrV5Ps+TjnllNT7XCq81oKuJc/zOPNR1eYuYzBatW3x5mStbYsK8mj59f82zJrIcOqcSboB9ZSa+yYy90lp+5oBymzkdeCXPI8TopiUaqKNTgN9Pi8pOdV46JYYD6hnViclECrErNLE9SHOVLDn4hpME8hT4fF16oD6Jspd7g3KShEUiGAEb1GKN9sUUfauEhHzYoN/uuHh8HNPI8ZD6DOfYBXAp5Kr/2fM0zu/ey+uf2B9quY+6x4k20NldUqJbsOAenQHoHNNxigwsKaEQraEiioSYYmVz33jXWUxQkz3IqmlDlqc597w3KTWB1nSkomv2ppo+fX/oVk+Yd6lPvelKFVe/m3JTzBfJPh4QHUUp7mv/5dZ4TSDzpzX3xl+ng7xMIqCNXN/4oknulR40wB0atOI84B6IcsOq1atkShSbbbUOEVC1h4WVdyGwYqnwks/QOktSWb5TKjTylR4rT4D6SGcF3Hiefw42TBmQPa5TcsqRHOvWaT4GqYWEtSVqBxawfAB9dL6KvJDV5jl2zKSjf+ceXMWs/ysOflIWbrMfaUU+akWAdoNJn1i66AQuVrEn9cpc8XT28LPBy3sByBJhSfpW1l30zH4x58+lLoOZcw9LTY9cKSkTGFcVT73VBgSS4UnFTjJ2yALzkXrpvUmWVdUSINYN2bR3MvWg7lZvly402x6JIvFG58OuX7Nziyff6YVee7FgG3hXlbzQ7qmWQH1pkuee5oJhLVTtmbzYIZlqUPDgHpN6CO6h7QiJkS7wJq5/+pXv4ovfOEL+NOf/pR4n0uF11rQDccDryFSbUbtFVCv/p9qt9pNGifV3Hvq30zL0zmT6KYZM50TLQH8IBY8qqmp8DgqpXn1MtDuzWvzL3n2kWBpe7KuPfp8XlYJNgScuLfYzi8PkU9ltRZwfZXWrDA9XBgtv46Q0LUOzd5om1Trqd9XNW5vk5hAGzSpJhC8aYiCFBpUYgmTOW0rcMkaJPHVS+aFnw/bewBAtE8lmfzLUsmJ94nv7wcBN/Oypr+U+9yLdepo7tM7j5ZK9xdpWi2hfWFAvYTyqVm+jcCMQRZ9n8F0P2N3x/LcFxy3IgmmNbL9N/do+a00y29wLywI4yTR3Pd00IB6xfnc0yJbYMSgDUoDsjGj/XHsAXMB5EOORanwomthnIcmzBe65rPurdMZ1j73n/3sZ9HT04NjjjkGhxxyiEuF16bgNmOPP8BVe3s7pcKjUkAvw2FfJORm+fZSfbbpMt9PnTJE7XxS+/xAYh3QxE5tMW/P9UeWA58SR57ncQeoyXvZRtlPK8vUz12FqiQYTxrEOWeuuY8IhEhzbxYtP6YZDzWB4L6bIhIORPDEsjWQZkpvFLfBMM89I3jzmiMieFcTA+besr6sPveze+umnB9/88HYPDIBIB7tPpW5Z2b5whjEUqUGvGBItgdxAfdSuk/L556sXF5zL9fiA/KxuOWRjVi+f50RoITzrokqfvnQC1i+/1wsGuzmnhHzxCeNkcyUN4vmXmZtYcrUisIJhizpbm2QpZZo7LOZSMej5bcuoB57jygavo+R8SkAwKzuiLVhzF4xPvfTQ3NP352NGRv/kw9blCkzhQjRYg4gcUia0Ed0zU9M1dDfZc3mTmtYv/X3v/99eJ6HIAjw2GOPuVR4bQpKjHteegoeoD0199ScrN020XFJfmTKkOhi7eZdeP8P78fazbsBAF3lOnOvMx5J1gyytEgxs81W+dy3RHOfD3NPiVvPE+alwXvladrHBwvMSXMvCcaT3g7xuylBXf/vwSM+lWKe+7QyeG22GH3b9lSSmfXbCB5zNctPYEBlqDSRMWnGfp2U516nSyYbkfIHezqwddckgEgTx7ZKaSo8jiFuzDPhRlF+EghtSjPLT4Ns7xfXPnPHAvj34C0P0mu9+u6n8YlTloWCZ4bv3fUUblz1POb3d+L+fz4xVjetK2k8OkiHZsmOk6S5Nw+ox9ojaO5DAX7y879bswmPrB/GP5xwUG60sKn1YrTneZkUD3F3q+Yf4KJQlApZdo7VmXsmrAOACtPcFyDInC5m+ZTOEZn7ciliDPKwipUJWovOzsIjqsNp7i3xta99DYODg4n3uFR4rQVdq2LKJdU6ll1v1b5FiVbW+jaSPQCQ+y7ZmL599uePhow9AHR1lDAyYR4tX7xbbEPND2JM7Z4UUI/WP1m13/xpEKmS5wlBa/Tfi96ZnbmPPufG3CdYhajbIWjuTfPcEx9RKiij9Jmuz71oDhwq7rNZ5YOyYKLJvw5E4YO6Ho2yjAPqRRkICgHV3BssMesMBgoGTBfMkqmzXAqDoUZm+Xqae4aycCmuuQ+4PTm7WX78mmiREQRkHCjRzQWwEwpRdOVEtRZj7n/18AYAwJaGYIRvHz/Pk8ZIpu3LElBPth6M03Iqfe7RaF9yee/9/v0A6u4ebzp0L6O6Ze2we7b+v+QRRisH5r4VmntRkEmzqUTMfUd4f7Oi5beTUkwEtdRkLplVcmawuZDHG0QpaKNrWdIvmoKOQxb6brojE3N/zjnnYOHChYn3PPfcc465byHoWvLAEyOqzV12vVXbFjXxoZH+2wkic1/PSmCuGZuq8vd2NqhMLbN8TqMpMFYicx8ErTXLp59bMJZ5meVTi42aEMndBHma9hXhc29juh0TKBkT1PX/nhcxonWfe7UQS4SoGRe165mDt3Gae/43HYi+o/F69AsztQIoOhUeFXI0Q6OlMp0G9LTg1BVKlcpOqrnXMcsXtegQM3bIzPL5+5MgEyiJa98PIsN8XnOfUrgE7H0mJdpA6f0Cc5xUJ+9zX/+fJc+9TPhibpZf/y/uF2XDM37D8LhRvXnCjza9TNHyswpt84CoGWb7Z9UPsGO0ztwP9kTMfZTnvgjm3lzw3QrwmvvGvkasWxgpk4d8QiYMbaYLC53XYmypPQnWzP1dd92FefPmpd5XLpdT73EoDjGzfHI+qYiudtqjqCmhaFbbLhiXBBOyMXvt6uCp/N6Gr5BOGVy0fOG3mM+9H8QIylbluW8FaP2TtcB6PlHN/WTVt9JwA/yBmnUYCvG5t7BIEN/D9FCnBDUlDGoGgpB4tPz6dZUmThdSn/vQqsiAIU/R3JsgKkvvfqrtKhrN9Lm31dwzIrCjXIqYtlBzry6bMqpeeC25DUHAB5ZKYzpS3U8ky1zmiiU1l5WknksDK5tqxZKmUVgvE7IllE3N6IsKqGcraBSLymJZkBWmfcJuL3leNs298L2obBtJiKyU6t/ZXkbn4+yeyCyf+uTn3hbSIe2suaf7AaMLqOaefS7MLL+pzH00zk5zb4Hjjjsu9Z7169fjiiuusK3CIQeIZvm85j79mehaazYuGuU1CojVXpvo6GQ1ds3GDKmrwjP3fSbMfYIEWRY5WabNbxZMtK9FQHxXW+U9lQpP1vjYCCbv1fY+9zmY5Zsf6pFWm2nzpnyf6yvmR6xiSmLR8hlz3/jdmrkPmb3omk1+dVNT+jzL6igXS2zR4TeqIqPAxbYrOc29wFSGmijJGMuY49QxCPg9SBpQT7vl8j1D1+delnouaoO8FUzYp3InENekWG+SdQnzjwby8bnPN6AeX1YrYwCZ57mPBJKiZYpNOQxTDeF4M+NqiVYZ4nrrLJfQTRQlFWL5lTemi899VaK5Z0xwueRZn4UyBJL9spl57ukwO819jpiamsJNN92Eq666Crfffjv8Fkj2HCKIGw7dB1UMe6si48tQI4RBSHS1skESjEkC6tlsZp0Cc9/fVdYuI4k5FzW4NT+ISTRb5nPfggNRfFdbn1dRc5+UsSAJnB95xu2yxkno659v//MmPLV5N973ugOtyqxaCC2yMvfUdJ4xIEEQ13IGgZpJj5gydgOvsbI2yw9LI4wdzLWMtVj7hHoMyqoKBG8aKqHLT7KAJA80xyy//l+a517j3SZDzb0XY37YHiWzsJCVncbcB+CzPqS5Btmcx6JlVhDI+4iawevOANZelVZsfMpHD8kzzuoVU1LKINPcW/nc56q5b+wXoua+yanwsiyj0PqAuDfanPmy87rmB9w8KhqiJYg4xl0dJW5dst+LiA8wbaLlc+56LKBe/Xvd5dXeSkZE5IYTH4OmnAXO5x5Ajsz9o48+iquuugo//vGPsW3btnAT6O3tdenwWgi6lDwP9pr7fJulDZoKL5KUt6gxCvzioRdi1yoWmrGuCu/C0tfZ0NxrbIg8gZGsma5Hy6/f01H2MFWz9xe3Aa2qFeehWOeU5YRKYu5NkCeBIAuod/4P6gGdlh8wF0fuO9u4TJlPcBrEvjBm7hv/PY9nQMTD2g8ClBTsghjYR4zZYc3PSoh9Gy2jL1gWxKqxCc6nq7kn9xVBnNOWG+W5t60vQbuug1BzLzHLZ9NfHjwvzhzrmOXzGTvi/WMibNHS3COQMqkVieVB9F1eHytbxSztHJvimPso77XH/ZeBau5pP5oKoJI096bbWbQXyfunFeSIsVk+UZLkES2/s1wKheJVP0Clid63sSwowhh3lEvS70VE9p8uZvmUPmT9wJQ+lVIk7stDsSc719gYNSO7AnW/mKjGXWb3FGRi7kdGRnDttdfiqquuwgMPPACgvol0dHTgzW9+M84991wsX74cBx5opzFyyA7RLN/a575F+xaV0kZBq9pnE73ryc3484bh2HUbzb1ols/yc+poBpLz3Me19Ixh66qUMVWrWpum26DVwxfLwW5prjdOzfJFzb0RY0Y/Z2TuBc09/c5yAJvCxiIhPgfN3ouakVIGJM7cq8sQoyrHAurZRmYHez66liUVXh5m+aZlUSaqCOLc1lzVdkzEXOo6CCQMdt0sny/TlzDFDFSYoAqoF2trYKa5T4Ose4fH+LXuE829yudepuWWoZqiuacENe3jSMiWwNxTYQO57gf68SSA5HgWeeW5h4W1ThbQM8W0zuiVPWIRYd5wVk5nJWLup2o+ujuax91HZvn17+K8jX0nihbfD3JJPcrAC+ZzKzZ3cEL/xl4XWnuRVHh5vIM0oF4TrVzoduo094a48847cdVVV+HGG2/E2NhYuIG/9KUvxZo1a7By5UocccQRAIDh4WH87d/+bX4tdjACPVw91Ikfz4trD9oV9GDN03QoL8gYe8DODEnpc6+juafacOG3mH+9H0XL76qUsGuiuXOh1fNO5jdogwmiuZ+o1qwD6gU5EgiiL+/IRBQPgkYQNgHfJr0GxqIq25rlex7nFywyQklCFJHhDbUTGecfdRlgiDQf+kjLTW8jKNA3y6cWXMWuRyPNvSXdLWNcTcqcJAH1SsLenZQKjwoT2HxI1dyDX1NpPvdpwyMbPzElXT2gHiPmo+tUyylqPFVvMSUwB6rf6/VG13Xy3MvM8ln7ywZ2HUnCLlOzfJXLR6S5byOCRAEakyIKbmZeDptDnZUSMIFGOc19f9HdShzjmOaenh++j65SfoIIOpVaTdckgc55Nl7UdcXGrUwFmTCsmanwuFTHe3Cee20jtg0bNuCLX/wiXvKSl+D444/Hf/7nf2J0dBR9fX04//zzce+99+Khhx5CZ2cn+vv7w+cGBgZwzTXXFNJ4h3TQtcQIkVQmWfJDqw4wSrR5GSTORUHFGNqYIXUJ0u/e0Oc+/dmkPolFyw+iPPdM4t6qaPmtGEqxr6x97olUeKrGa8lNXsuXHLy2EM0EqQZPJHp0IQax04FsztnU6XmC5l7iS6xCPFp+Y99r/J7VBJwWYGNVlBYEz2YO6WruOwXNfd6gJTYj7E7WMWXzqqNcijE/ATmDRMg0w2nLLGY5JOt/UuxpRyxOLE825bbsmojdIxNKcZp7TdU4OztUa5qaxdJ7wtRlScw9jQFA+tF0/0hi7k3Pumj8+eue8HvR4M5Nw2dpYOI8zPLLJS/cl8enmstAicI2laaeoUwFmTk3dbr43HNuQD7zuWdrpJSroEqMiVCvw16gZAqX574Obc39i1/8YvgkWvGxxx6L973vfTjnnHPQ19dXWAMdsoEuVep7WoOZWX6r9i2faKTYVtFOm6hq8zDNgQtEEawZ+jvzMssXGa2IoGTWAq2Llt/8sdQirjVAfe4DBNbl0KeyapVF3zqW97detmWZFs+Jz9gH1IuCQPlBPPpt0l7ACDlRY6gi1rXbhqhtED4badtDhtyuHVxZCX7hMlCCuGjBnmxv+dTPHkEQBPji247IpQ5ZJHgGVY/QVtFo+WKqsHhgxghcKrwUs3xmMSfuE2lm+cv3n4sbPvhqnPWte1LfgyHO3Ed57pU+97H2yt+DMe+qeVPlNPeEuS+xetRzlPYd73OvfESKZgTUa63PvV2t1AIyS7T8sudhoKcD23ZPYufYFBYNdlu1xwai4EZcb+KYUwFc3nQOL5jPtehcwdEFguVNuRSPR5OpLplZfsjcF99JdF7vydHytcmKIKgHZFmwYAFuvfVW3HvvvTj//PMdY9/moJuPGNDGJKBeq0AJq3Y0y2eEznnH7c9dZ9JjE8JZfK+Oin4gmCSGWcZoUWLWtJ1ZwbkQ5Fzt6GQVX/71Gqx+YadW/UA+Zvm+LxBLJhrcQP7ZBqIVwI6xyDzXVpBik7pQZLpNx5ndHmln4rmM6/Woy6gpGL7Ih9qOu6cuAwyRVYD+i6aZ0hcpKKAEcSGae1KkyETsHJvCtSuexU/uew5bBSbUVvOeZDqvAzavOsuRFouVKfr4UqSZ6jPQoFU1Yb+RBtQTeuLgRbOUbZeb5QvMPeLCLoCPvaCLMJWWYtpQYQWl5fXM8uWp+Ww19/KAepaCRjGgHnLkiHTaofisA5ohhA25XbT8+n/Pi9y8do7ZxXKxhSjI9EiwZSBuoUbdUPJ2IeDO7jZ2uqfvHQXUY2dGyTpzjAxiINv6Z3uBkim4d21niUvB0N7Z169fj89//vMYGBjAqaeeirPOOgu//vWv2yq4mUMcsuERAwbFn4lfb5nmnmjZ8pQu5gVG6MQOFM/cLF+UKosapCQk5bkXx9MPglB6y1wBmuk3F1gwi7r4f//zGK64Yy3O/vYflfeI896WuafmiH4QcONnUmKepn3iIb6b+Nzba+7p3NIrJMbcG9YpasuYsEwWLV/ZBkHDk1cqTfY8p7m32JvSzfINBESGAfUoQVwEUUrbLo4RrU+s2jqgnoIBSwJtFmNIOyoe0TIF3H0yRp4yj+xnkXln93nhmcDPYZ2AeknDKlsDm0cmYvfIBCCJ0fIV9bGzQzVvplSae8EtUAaVz73p3iVGVOd+sw6oJ/RPCzX3pqBMeZaAepHvfl1zD7SCuY/SVjJQoVDMLJ/GbsibuffV+1w7gQ+o1zDLb7S3knOwatleHLmCZC4+FXzcofYdk6KhzdwvWrQIn/rUp/Dkk0/i17/+NXp7e/G2t70N+++/Py655BI899xzRbbTwRIyU7w0DXg7LQd6sIoalXZASBSKB4qFX5t48Ij5lpNA6UOxSlnO8dDnPjTL125mZhRZ1c//VE9LODqpToHC+oONma3PPY0K7Qd2UeXr9xICIbPPffR8zfdzOUxtfD3Feo197hv/mUaBraeYz33C0MWj5TeeYcSHUYtInVIzXXPiJS2gnglMA+oBUZ8WnZ6oOanw6v+lZvkahVaJcETcu9XR0uXXROYdqDMYoeZeFC5KTEfFNieNq2xpiQH1goBn8BiSzPJVYGeHalyptoy3HIzXL4JaEuhk9lGhmiDssg6oJ5rlN/43ixzh6rEUdmRl7umQt0pzLxtbPusDz9bQ3wo1y28julSELK4PE0KWS5S2zq+uskTw2QxlMO+a6DT3RnjjG9+IH/3oR9iwYQMuuugi/PKXv8QBBxyAk08+GVNTU9wA7t69G5/73Odya7CDGWRah7TNXXa5VdsWNfEJ0021qC0yMEJHdaCYELYij8nkBbJD45mtu/He76/EynXbACQzheLjNT/yD+9qQUA9E03wmo3DeO/3Vyaa2VMkMfUMrD9ZNgJbv6yY5t6yD+n5k90sP/pcrQW5BC+0C7wkPCMpYmhkHB//6UN46LkdyjrZtsUsY0w097Fo+eEWyMrOxlRLNfdG2nZw7RNhZAUgIajSYLNHaYMU2Zxo+TKBix7qLof1z2UauNVnZbO2STT3kmj5Mm0RJaDF36c0+seEua/WfGwfrTP3NGsLjZhO20VeQAtTguYv9rvCMkNHc08N4Pho+XptY0iMlm+c514u3InokeZTJKZ1srtLHrVMsag3dJNsIXNfizTODHScRUULyxAFFKC5z+F8bQZkAfV4IUmyws8EMkFrKAjLXnwqqLDaae4tMTg4iAsuuAAPPPAA7rvvPhx44IHo6enBq1/9anzkIx/Bgw8+iF27duHSSy/Nq70OhpBpqdI04LKrrXK/oIRVM/12dDFVrbelk6SxC2AXUE8cj1CDJCnjgmtX4XdrhkLzcxOfe6r9bElAParhTrn33VeuwO/WDOEdCWb25vXX//c1AhaOWUb7pQH1RObeKGp6jmb5Yp57Ljeytc999Nm2ebK6P3HDI/jpA+vx1m/eHb9f0JaxtUCtJerlJtQpCDY9Qbtuy0jKfe7533RQs2DIlWUxQs1Ec1/gfkpLbIalVRRQz8Asv9FK+v7lkhf1i6C5l42TzCxfZmZfTyXNLCXSzfLFmpLmiLjXbNs9iSCo1zmnr7Nxj1xIIUvlJ76PCEY8qwPqUZ97vm+TygX4+cub5ZvNocRo+aZWRCENlV0IlwVZhAjU2iiJrkiDT/bUeY25NTQybt0uG0RMaURzqbT44TVhTeeFPDPdFAneD53f1yqlyEUrD0GVzIrMxm3NFnRMqo65z46jjz4aV1xxBTZs2IB//dd/xUMPPYSXv/zleM1rXpNXFQ4WSDLLVwfUa58FQX3nIgK6fdo3JfH/Amw19/y9SWb5z24d5Z/ltOH8veKGPTElYe6b6nMv/ywDMy/draGR1wWbU/1ZNfdJZvlG7Yk+ZyU+eAl9/pp73SJic1Dy4F+Gdqmfb/xnzAdL3SamXdLR3LN1JO4f1ibgiD8f5gk2KCc9oJ7B3hHw76qDZuUeNttb7EYl2ec+uUz6/qVSFHDMF5hYXbP8XSTOBQPV3Mei5WvsP8k+9/z34fF6/QM9HaF2s87cJ883XblIquZe6XPP6lFXJBOY1cvRaxsDZe4vfNNS6W+6UFmFtNLn3nTJUkFnKQOjS/fO/eb1AgCe2TKa8ET+YD73Fc7nnmru42yNiYujCWgXtjNzzzG8jXZSzX2ezLd8n2melQsfd8iZ5eeG7u5unHvuubjjjjuwZs0anH766XlX4WCAZC2T/kJr1bZFzcBKTSJGTTAVmogpzPItCHSGisGBZGKWTzXOXZUW5LlP+NYMRGb59Xe31dxTIUkQBNxBYjJF+Tzy2fqDzqGa72eKsCxrk277xEPctG6RAe/qqK8v0e0ikbkPBYP173kR42GV1OzQcE+VaTSzIAyoZ+FzX0hAPVJkM7YWmSmo7jOU/uPM8kPNff23VLP8xseR8WTmXicVZ5yRTNDcCzN6dLJef19nhXPBC99DWZJQp+LOMFq+SnPP5bkn5YUWNGrw/UnN8u0Y8krJw9z+Tv43wwkpc20EiECvSUcYJ6g1fJbGjRCFV0ZtaPwveR4OmF/PlPXI8zubytiy9cIFX+R87tWa+yLz3LeT0kkEfe8woF7jYrnkWQmnlXWx9UJI4mZq7ulcdGb5BeElL3kJLrroorae9DMdvkAkAzqa+4IbZQBKWEVmpC1skIBqGGU5u899LKBegoRdvJJUi0gYMf/1hbO60N3R2jz3zQb1r2U+9+OWmnuq8acZCEzBmeVnnNv8IR7kIjiwodvE98iiaQIiIRQVTKWVG48gzzOztoHsIt4+bkKs+550vakYciMTf+a/X9Z/J2bW2lYB9SzlHEk+92llcpp7es4w5p8wRiJkPvfDEh/kkhcR0OI+ITfLN3AvELp390R9jfR2lqN7yI0lBdWnWyM781Tzk75PIOm7pHUX92uv/7cNqFfy4j1pHlAvTXPfRgSTAtESzKa5Z3un5wFH7DMbHWUPz+8Yw31Pb8uppemo1sR9nWfoZekdi7JSytPqrkjQtoWae0lAvXyi5cfPV/ap2cy9S4VXIBYuXIinn3666GocFBB9V+ufec1E7BnJYdWqfYuarhapabJFGC1foEps4gOI9yYKCIRLnB+78Jv4/U+NAGYv339OS/o0KW1f8XVHn5lZvmjqrQs6Lr7PM0kmr0Xvzexzn+ADaFuyXcok8buhtqzxn+1bzH2EaSV12iZGo4/8CvmyTSHbU2FIHNGxUTFbJj0WWSmYMPfxtuQFOt7NiZZvLrBhreJMx0txi4Ykc3ZdzX0lQXPPzpCeDsqM6/eZeCdbI71dlXBucZp7XbN8RVeygHmqceXN8uv/KSOWZF0hupWYCs3CeiUmxwzGee6FtjB44g1NhLmwNBKypCl3kkDn0Ny+Thy572wAwNbdE+qHcgYbv4rC5150kQSiOZd/nvv4XG9H0HNJ5nOfJ/MtE4ZmDV5rApkgY09E4cx9qVTCfvvtl0tZ99xzDw4++GB4nod169blUuaeAhkRYhItv1WG+ZHPPU3d1D7SuElFnnsapVgXsTz3CWXEmSf6mf9VfJ5Ft53X15VJim+LLOaFWUEP976MzD2dh398ait+9uDz4XezgHr0c7Yeoe9Xy83n3rwM8f1tidHQLL/B3IsuFElnNw3+BBACQ8acm7RN6nOf3h6+bdGNuZrlG5TFiONCmPuEOV3EmhfH2uhZ6iLheSGDydrNmi8N1CWhoGSpNUuEgJ6KBdSrV0A17SbmpOJaY/FJ+jrLhDmO8txnnW1inuz472QPCrXecfpDBvG3UgqtomwjZe6FNzYPqBdnVoAW+9ybCksJU8581WsWdJSYOYCdoWM5xsRJQzXF5150kQTsUhPrIM80tkWCbknVWLT8Uq6ZH2SWcc2Ml0XHQWYVtaegcOY+D4yNjeFjH/sYXve61+GJJ57Qfm7FihU444wzsGDBAvT09OCwww7D5z//eUxMNE/K2GrIzfLr/1XrrJ22KGqeG23QLWyQAJVZPiMQTUy1lWb5Oj73CQyY+PjKddsBAN0dpUxpcWyRB8NpC3q492c0y8+LKeIIhIxF0uerfiAc1naFc6b9CLBy3TY8+Oz25GcSytBB+B5Mc9/Qao6JmvuEDhMZ3ogBZ3uipVm+hJE0TdPJae7zMMu30FwzGrjZAfWS5kIhZvkpz6qi5TPil/2engqvjv/zqrgyo65Bbuy1CrP8bqK5F91PkiB252gjoF9vZ4XTyKl8x6P2C5ppRcex/lBGy6c+95JghElavJh23FJzTwPqZdXch6+jbFtzDjHexcrw2cb/khcFJxXTiuq1gZVTf3dmbbJroorNI82hqyPNPWEeObN8mRDO3JJSB1Q+Mt3M8qM1kq9PvPR8FDLVFAnuXZ3Pffti7dq1OPLII3HDDTfglltu0X7u2muvxXHHHYdNmzbhxhtvxKOPPor3vve9uPTSS/Ha174Wu3apIzXPJFCJLUNaCiTZAm/VvhURbW2aCk9hlm8XUI//HpmHxu+Na0YpAxa7W1pfT0e5MIl2EpLS9jWzbhZQz5a5z8vkK9dUeIJZPp071pp78p4j41Wc/e0/4swr7kmWigeJX7UR+dwzzb0+0xOPli8w4NZm+XFG0lQzwQVxU+W5N+g1nxBquihUc08+J7mHiO9oLXCxeJ4NVY2MJ9VsMsFtks+9TCP96dMOwX/+3StwwwdfFf5Gfb9j0fIb9dB0qkbMvfA91Nx3lTkT7Lyi5bNydKLlywl9NcQ+ttXc0/SFYn1+YMaQK/Pcs9/bhxxRggo02TyzyRIjjgNj7i/95WNYftltYTyfIjGV4nPfIdHcF0U78vFy2nciiIKhmh8Q5r6Ua0A9maC5mfEpqPBUtJLak9D2zP3q1atxwgkn4NFHH8WJJ56o9czatWvx3ve+F/PmzcMtt9yC1772tViyZAk+9rGP4dJLL8XKlStx4YUXFtzy9kBI9FBCtAUMnS0ic8vipK9ZMCUxyw8CYpZvGVCvpyMizHQEBEm3qPa3LlrHDPS5l/U9fc/ezvx87kWYvBcdn6zDwEeKzSdaPm0TDRaWRBzGouUbVE4JEdEs3yRaPnXpAeLaCUqrGxH7ocA0umbKkuoE1DMqTxBk6KAoP1QR4v4V5DEpBSQx4KnPsmCEjXHoKPN7YpLGmxemMEFUGccdNB8v2WsW3z5Ff7MzhBYvM+1XQZy7VHNPY0FE7yEvR3casqZp5bmXEPpJ1iUiK27rcx+aHHtxzX29XfplhX7m4ipvsll+Fnc2umcx5j4PzX03cSUBgN88utG4TFPIfe6jz0ma+7xpXt6lLteic4UszgfNOmAbuFKGcM1LuMtmsBz0vHHR8tsYp512Gq644gr09/drP/OFL3wBExMTOO+88zB79mzutwsuuABdXV24+uqr8eyzz+bc2vZDcrR8+cSXBtTLvWV6oMRBOaXdrQDTuogHCutjE+0u3YC/f97yUEAgK0O8kpSSRSUt7e4oN43A59tTHKg0X0Yg09dkDKPtuyeZfBlpXXOU/oua+yymnLIyKfMomhdTiHXZxiBgmtEwWn6MuVeXo2J4qTWQqr1JiIse0oOUqtoma59Nm2wC6hXrc8/PQ+430oN51RwyHZK+VJuB1x8KNU2NZxmjMCUEnkqLli+CahBrfkA096LPff07LclE4SQOH9PcUwEx1dyrJVFewjdaH99vIqhFT03Sd6oAkoDM597uzOcC6knexGTOq4QizU6Fx8HSksHzIkWEiQBJVg7AB4EEgAMX6NPptkjzuZfmuS9IicG71LUPXSpCfG2quecySuTwCrL4J82MT8HFF3A+9+2LcrmcfhNBrVbDjTfeCAA44YQTYr8PDg5i+fLl8H0f119/fS5tbGdIzfJT/KzbyiyfEOihj2gbiUhDk0pyoHienaSYEUJfOPOleMWB8xIj2ceYJ8Xnehvk9VGf+2b6DXIaiJyrpQSYzGyc9iXTYNj6yuWluaf3ZjbLJ22q+9zTeuzKpo9R5jEpsKVYk0nNtJ1sPMM891MmmntWRsMsn831xu8cM5VVcy9YBaSBmg0r69FukV1AvVKBllDcnBbLT1j/1j73oV+8/bOh5l4I3EojhItIChRHo3b7fqCMwxIy96QAkz1JXNdRHBgaBTvaC2xTQIZtC3125b/zZvlxAVuS60Tc577+33SK0oB6surM1nvEBMna1izXsiy10LFn596Dz+7AM1t3W5cDxJn7ZgRFT/W5lwa+LEYxRNdpO9GlIsQ9uFoLuH4Uz8Y86pL53DeDzKRj7DT3MwhPPPEEduzYAQBYtmyZ9B52feXKlc1qVgshkZznaIJTNNrdLJ8RannmuWdygiTiOykivjisqnHurpiZ/ueBuFAi33rpgSIzO6TvmVVzmZc/V57pdOjzNT/gGSnrMqMnKfGWNGfimnv9+uitXmjqLDfLTxJYRGb5XqMsvgL6Lib9Lo+Wb0Yc1QSGMitsAupVmrSfxszyuc/8b7a9EQlsJAx4yrORBqv+neXJDgNPJVhFlDkCVviNHLp+AKXmnp0h9Iw2seAR72Tt7iiVuDgTaT73A90V7rvK4oGVrxVQL0GLJ0Pc5z4Pzb3kdyNLIrZh8NdN52qefK/piqVxQrqIIuJN/3anVTlsnHoEs/xm0GZpPvflxIB6+baFvm47k9PifK/6fnQGlXkhYF51UQudaM0X30lUW99OmbWajUr6LdMLa9euDT8vWrRIes/ixYtj98owMTHBRdYfHh4GAPi+D7+NJ43v+/XUN74fTnSvcR0gJuM1+XuorrXinVm6Fg+Ax8wB/aBt+p+ZtnHnSRAdftWaflsZ0cTGyiNmo0ll+GSjZt/p/aoNu6viRWb5Bu3MAvHwN5lXOvfR0senqvD9Dr7+UEvG5/m2efcks3w/Zcwo+By0tUzjwEfF9VELaORquzVMUyZRgn5ySt1W8bofyOoOpPfXanTu1p9TRXhW7WHsN6C+Fut7YhQgTXym5te0TaF9X9Zutjfp9XG1VhdSlErqeR0YjFdNwiCKKHkRMer7Ptmj0uccPVN0wI2nsL7o+NbE8fP01rmI6JyIt9EPFP0b1OtiBGCp5DX6pd5JbG7RPUMs2yNzOKl//CAyy58S5rDMPNpkT2LvwTBF5r0XjrFP5i1f9mVnHIab/vQCPvD6A7nrqvrZmKkY5MlqNKYy+iONC6L1RueT2d5V5QQ28fpMyot87uVjEghjpVorJutHBjHtmklZ4aNBwJmzTxme+3Tt+r6PCcGSKmk/zgtsrZfIeuRS4XlerA0me50JuH0t4/gWCZHJnazWon0PUVYdE7pFBZ/MNXHN073K9EzRr59q7tubV7OB7vvMOOaeMeDlchkdHR3Se3p7ewEAO3fuTCzri1/8Ii699NLY9c2bN2N8fDxjS4uD7/vYuXMngiDA1m114UQQBBgaGmr8Xt+Qt27bjqFZ8ai8I7viplo7du7E0JCZi0QeGGlkNRgfH8POHdsB1A8Q9i6txsRUPXjRyM4d4TXf97F71wgAYGx8XLut4+P1sdq9awRDQ0MY2VkvY3JyKlZGQBiMoaEhLvvD9u3bMdQTBT4bHZPP1bHdIxgbHQMA7BodbUqfigzx1m3bMVTRS6Gj0z5KfGzevBXliU6+jF2TAOqH/WhjjCYa/VtKcgaVYGJyUvnbyMgu7f6cmIzGaufwSKZxoIx4tRZgeHgk/L59+w4MDZnnIx4ZiebWVDVKRbdp8xZUJrukzwyPjAjf4/1Rq0Vtob/RQH1btmzBeFcZ1YkxaT1btm7DbE/+23Cj3RMT9TW4rTH2bC+cIHv4pqHN6K7ojf/u3fX9cXxsLGw3K2uX5rgP7ajP+RLU83rX7t3ac2HX6CgAYGxUbWbreQj5nKGhIfi1+lhu3b4DQ0PJekV6puisk607ozU9VQuwadOmUBO8ZSRaN1u2bEVlMlqjvuXevpu9/1h8H9u+Td4nvl+va/O2+vzxEDT23fr9E1NVDA0NhXN5cmIiVvYo6e+tW7eiz1f0f+CHzNmOBo3CMD5R7w+6HiYmJ7X7gb0Hw67d9b4YHxtFrbFed+zYgWq1Xv4O4Xw4Yf9unLD/gZgY2Y4hsmxFKxmGkV31eTk5NSX9fftwtAa2bq23BUHUxp07h6XPAcDuXcL6afTZlq1bMYBR5XMiwrU/Pobh4fjcHtq8GX2devQMU/DsGuH3Zjb2u4U5p1orwxn3dnrGj4yYlcUYnm1bt2L3Lv7cMiln+446zVyr1tfGC1t5GnrHzuHC6YjJxjwe3rEdQx2NfTSIzqWJ8fgeEFCat9/8DFSBrV2gLpBrF7pUxPAInx1s49DmkO4YGd6Jscb+uXt3NjqQMtbbtm6FP1pnMbdvr++xNbJXmZ4puqA05uhYfM+e7hgRaCsVZhxznyc++clP4qMf/Wj4fXh4GPvuuy8WLFiAgYGBFrYsGb7vw/M8LFiwADtQP4BKpRIWLlwIAOjqeAIAMDA4iIULF8Se7+uLH76Dg4Ph881ET+8OAEB/Xy8WzJ8HoE6ftqItMvhBnXBY2GgbAHilEuYMDgIAKh2d2m0td6wDAMxu9PW83ZVGeeVYGQGh1BcuXIje3mjMZs+Zg4UL54TfOztfkNbX0zcLAxN1Aqezq7spfTpR5Q/WuXPmYOHCQa1n09oXBAGXTnDevHlYOKeHu6faWT9kyqUS5syu1+uVK1i4cKH5AVN6XPlTX3+f/rhX/hJ+7u/vzzQOVClWCwLMmhVF7P7KHevxu4+93rjMXrIfeKWIIB6cPQcLFQGU+vt5hru/L/5eNJ4K/Y2mAVu4cAH6uyqYPSBnCObMmYOFC+V7cS/bO3p76+V31xlwtn/09GwI750/f36YPSENrNze3p6w3b29m+r/NcdvV6m+L5fLJeX9vb36c6izqx6lemCWOqBV2fNQI3tGd9dTAHajf9ZAaj30TNFZJ+MVnhGbO39BGOiKrUEgvkbL5fhep4Pu9314bQAApotJREFU7s0AgFl98T7bOCkX4nueh4ULF2K7XyeWOhp1b601LPRQH5u+vvq79PTE98iBWRGhNX/+PCyc1yetq1Iph1Y0Pb38GAVeYw/uiOZfqVLR74fGezB0NObC7IF+dHbuAjCGgcFBlBr9P28ufz6osHuiKr3e3dOY96W4v3UQAJXOqJ+Gpup931GJxnXuMD9/qEXJ4MAs7l3YXJs9Zy4WLpwFXXT3bANQnw+DA/Hn5s+fj1ndcuWPiErjXB4c4NdJf98OAEBPdy93XbVWZs3Ktrf39UXz2PScYP07f/58eD08c29SzsCWekFdnR1YuHAhPnBCH65/aHPUrlmzMr2jDpgNzML588I5Mbv/eQD1dSvOIQDo7HgCwLiS5rVFR8fT3PcFCxYkBPBsHSh9CNTXEzvL58+di74t9TM3XNuWoCbxCxfMx+zeuuB2Z8D2yWivMj1TdEH12qWywT46TdDd3a1134xj7hnTXavVMDU1JdXejzakVIODyUxFV1cXurrimqlSqZTrZCwCnuehVCqFG009IF29zVHaEE/xHpLNyVPdWywYr1IulVBpMAO1nCV9WcBMKruEwDLMb9OkrUzqWSnX5xfz4/dlZRAmrv4b9WkUxkpx2EzWgrCdQYCm9KnnCT62nnotie4Eae2L+ftJ5iwjDEpenZhnz9ms6ST/wtgYJID3QbZfZ0EQxHwA6fd1W0fheZ4x8REovEVrgbqtsTo82fjRgEg0IGXU6HJjXCqqwKoJ/cwOebb3MebGb8x1ro0J81BWJ1B3b2LPMFcnD2brqFxK7kP9vaP+v5KQ6N4jAsFSqRTGnPA15xxrj+69FLUA6Go85wl7Ez/2tvuQF5YtPq9MD9ioO9wTGmPRUeH3hegMivcTTcFVTuibSqmESY+ZvvK/RdHyiY++r98P4t7N6OuOcjna+j0vrLdcLmuVXVbMJbZ+RLP82T0d2D46hcmaH5UvWSvlWB968JkfdZnvw2jszPbFGneWyugZk/3ek7eNda5kzsrWimxuGkGI4Kk/P6JxqpRL6BZoFZs2sfc7aOEs/Me7jsKHf/IggGhuFIkozlE0j6nvf2c53s9hQL0M56sM8VihXmx+twNi0fIDL6RfOiolEr8gY/8QzrpCxoftJQHEs17/TNEFpcuqfvvwCnlB931m1lsDWLJkSfh540Z5zs0NGzbE7p2pkKfCq/9XMSfNiv6qA5qGKIoe38oW8ahK8twDdpGow3zLpYggAvTS6ZkG1KuUPJx02KK2DqhnGpxH9CuTvRINshYG2WlxtHw+oJ79OMgeFTMGmKRmZFAF/JNlIwjbotE29bPRzYyelUVATiu3plhPYdlkV7TLcx8PEqbbvWHbEgQtJvswTWukghhJPykbR96YqvK+6SpYR8sXAn3pgLVDDLzI5hqb3+LvFLKI0DKUSS5pcQ3K8tzL9gHVu4nzhEaKj/LEp+e51wXbL8VzeG5fXUtH42LIMg2Igh/6XWybbfpbLqCe7H0t92cOYd8aNS0XGO2n5F6PRMtnMAreGM6hqFNPf9neOPmwenyrZgRpDgNGEpqrlzD3MgFnUXtdnNbKtfjcIO65NT8gcSnk6SJtwKXN5RZetA8VDUqXTUiCKu8pmHHM/dKlS0ON/Jo1a6T3sOvLly9vWrtahYgQja6VUpga2eVmpUoTQdNqZGXGigAjAEXmvmIhiBAjXiemwhOok8Qekfx41z+9Ef1dlaZnIBAP/6ShNGVEY8H6JIXT6M1ZI+jaMMoy0DmShfiQrQsxxoEsg0AaYhH4WdkGwg2Tt6LFsrVQkURArt+rLllMN8fFvAwCnpky6BYZ0+0ZEvohM56UCs+g02rCu8rwqgPrrkPzGkwYuzeveUwhtn2SC5Kovs8WsqjsDGmEa83n+y50Hwjz3DfKkTH3mpyy55Fo+cKGEwXAi8qS7ccqi5t4Dmt2JkVv7vtU0K/ZZsV9bI8S28iY+wmOuWfznJSrYOBlddqeT3Q9yN7DRHAmY2iBaDyblgrPshr6WMlDjLk3yXcfrQX+Otufm0FHiOsV4FPydUjOiqLy3IvnT7tmoBJpgykSYLNSKpFUrtnazzP30fUobWSxEOmn8an84itMN8w45r5cLuNtb3sbAOD222+P/b5z506sXLkSpVIJZ511VrOb1zLQgymUhis19+0Ddu6UiBai5gctEzZQBEFApMj8gRJp3Q0i0QqHlolWnfaH2DeyA6erYXpaVP5XFWLMfcK9JkQHED+4ZWVTpiprKrBkzb1+mXmlwpO1R0zXZ8Pcq+aWyKSonql/j9+j0tLK+k6luU/qL1GbTZkjmpoMsCP2OStZw3KStME20Mlz/5WzX4YPH38Qbvz7V3P3FqG5F0tUWXnEU+HZ9YeYossENYEBFRmVJKsAGQErQ9lL0txH0fjFNiXBiyadUB6bC5HrSQD5vLUBa5vYxsGeugskp7mXpHwUmeSkPmRjYirQp6kmZe9rY1mlzHPfAlLETFga3e3BQ5fg4mTG3DcERKKApolKAkZT0TOhh8RLqUjMlouic8Ty2ilNM4U4xFWiuafpIvNMxctbNTVQcPeI+8SYY+5nFj71qU+hs7MT11xzTSwi/je/+U1MTEzgPe95D/bbb78WtbB5kJrlhxud4qE2YJwZQj/0kscRru2wh04Rragyz70FEcGMAJI0y0mm92KVsgONSe+LkmirYFINTRmlQ7THmHup5j460LISJFMJg2trNpm3WX5Mc29hpqCaW4nvH/sev1f1qvQyow9Ufox6mvv6dzqHdIQPKrBbKSNqbpafzoybzAQds/y5fZ342EkHY79G0LciNfcipgrX3DOmQ6K5V5qzN54V+o71CxOMqTS3qmsyUBN5VZ57WpJM4CJOFZVAic2FSilKdeoHQWqee12woRTbONAtYe4lfRdn4NWMf5oiQt3GSIgrg0lpKqEIW/9JZeWphPjG7U9alcuZ5ZckmnsDgS8rSjVORZOOvh/FlaF7J2+WHx/zckjn5NyeBDqsnRA3y/f5MygUAmZrv8osnwoZi4RIy40JGT+CIMD3734aK57aWnBLWo9pwdxv3rwZGzdu5HzoZdcYDjroIFx55ZXYsmULTjnlFNx999146qmn8NWvfhUXX3wxjjnmGHz9619v4hu0DjL/0NDnXmWWn1BOkQiCIGZGE+bi9DxO+t8OElJKsHaUVGb5+u0UCfQkaXOMeUogmGVj11VhwY2KOfSUiLVN3T+UedTpRZFJkXU91cKFmnvLyV3LKfgDPVCzEAdys/w8NPfRZ9q+JKsUnTmofJZLe14fIxufe5Fp43zswRPrWYn9sGzNFxW1xUn16EB0QdBBSPAWsLmL65pj7qFe17Z8ZxatNNXyAtFeHgQs37x6rCjzmFR33a+1jpjm3meae3K+ScZEtGpQuYKw8itlj7snZLTN4kbGwPY9sY0DTHNPc6FLNL3iFKVMgNg2WwFUlQg4ZAIfk32WzVdlzIOEovJaWlt26aWLlYHX3EdnP0NS7BQRgWQ869+L20so6DygvvWpZvmWFiBpiFlJtqmLt0gvT9UCznWlZHZ8KUHp3ZJkzRdtcSu+5/gUPyB/fGorLvnlY3jnd+8ttB3tgGnB3C9fvhyLFy/G4sWLw2vHHnts7BrFueeei7vvvhsLFizAW9/6Vhx66KG48sor8ZnPfAZ/+MMfuBRRMxmhlokstDRzzFYJHz907YNY9plf45mtUa5gGhSLHvztICGlWlF6oNTzdpoTJaJEOkmrHje9J79B/RsDY5ZsAxbZwsQsX6XtU5Yde9H4Q1SAklVzn+hzblAOzzxbNaXxbPzhKaFAmwAzvqJ9olVAUluMNE2k9xhRoPK5TypXjGFBeaMsvpKsfZw1FCNeNMuQmStngcig6qDMzM+bINmb5ALqgXzmXaxseyPJ514FVm3E9DYESWSuTdX8+Dwi0O3vMmEya8K6kQbUkwxJXHPM2s+XxwR6PNEe9XPW4FkqzT0zy6fpTmXWAiKzTQVSMY2wpesIF1BP8ruZ4Ix9EoUrYWnKZ/M6VZP2WhPUsxZ4uOuiN4bXjDT3inXG+OyilS60fN4sP2LuZVZeRbkgTRfNfTwuRxDuQxUSlyJr69Vm+U3S3Av9P1nzuTmzecReSDbdMC1S4a1bt87quVe+8pX4+c9/nm9jphnkkvNkhk5qQtsET/xfPVLPYvCfK57Fp049BAB/SFNfqnbQ3FMNRSwStYU5oahpNPEJTxofGQNEUyTq1pEHTALqiRqFehA0NWGqo7ln9ZVLHvGtTWhwAtotWr4vED5VP8hJcx9IP5tpfEzqiz6z8VZppJN97sE9y5vlZzAPD1jb4u3ULUdkKOXV6DeqplGeiEhzr/2INsQi2V45PD6FN3/9f7n7fMl4G9dHLHJMEY+Wz58zSYKD7g4+rZMKdFzEfYrtI57kGkXMnN3zIJslkda6FBLVfkBNqpXN1ALrL9bEF83uQW9nGUfvNwcAv8fImEGx+pJkHUW/2WmE2ZxWRcs3WVuqmAvsa7Lmvphz1fZ8YX2x79xezOltpC40OBNU7i/NyrxBY8goA+pJJnizAuq1U7BnCrGdUzWf97nPS3NPzfIlVk3NcNsQMT5VQ19XndWd3dsZXh+brHFCoZmGacHcO9gjNFckR6qNxrJVexaX1ocIZNthE2XMTWe5pDzsTNqpipavxdzTW4Tbk55mEvdmSZxlYiMVRJ9uPwAUClwAMp979T11zX395W3nUrLm3mBtkc+ZouWTZzsrJVQna7E+zOpzz2nuDYQbFrwzgIiAlgVJEtsW+03wa09ivmzGK4u5r5b/swkBH76r/jOR8DB/zb3YDWyv/MHd6zjrkbq5ePa9J4s/ueifTTX31VqQKDigTEVSzWUvInBV7ixctHwNs3wG8dbQ575MiHYESsbMFKx89v8n73sl9pnTg1XPbgfAM/cy3/d4YDr6G1+XbRR2NqdV0fJN1pZKW63DsLSeSuHbR9+BZYWwipYvXG9WSl1q9UI197qp8PJuX0xz3wZKJxnE9VOtBZzPfSSoytb+tJSkRdOZMppkjDD3dL/eNjqJF3X2FNqeVmJamOU7ZEF8saVq7ttof+LyktNo122wiUY57iXmmhYCFJEZSUtZSMFpV8VyE55vfkA9/XpkmvskxKPlx++nvs5FRss3Aikmm1l+9JkRbmIfZk2FR8cvOc99uqBFXV9c05QlFZ7EKh9+ILTQiNgPYuWF+cQ1y7DJy56EiFDTP9Ijq5182pAEFhwzzkgEuRB8NiWwcYx8T+vXKdMw5fuJTHE3Ze4lYzm/v64pOuGQvcI5MlWVt5aLASG1thIvyO/n/c3r1/wgOl90eXulz73Yb+W6qTfLwDIpS4XHaef5zzLahKFseT6lBaw0Ejam+JknW80ZVGTSJgvLAxEssJ6ZWb5834poSu2irECZN05zrxlQL3ezfA1rwXZAzHXHj3zuK3lq7ll2K5UgLFvxGvVH85NZVdGgenSf3LZrsuDWtBZOcz/DEUpaOel4MlEnW4CtYvjpIU0382ZEeE4DI1TlkuL6fyPmXiAykw4kz/O4QeF87huff3r/c9iwczxx7LL6nW/YOYant+zGq5fM17o/ptFNqFZkHtOaGDPLl2YZiDR8WQQbQRAkPmfLzGZZZ5SQZgKnfPLck3lG3jnJDzSuudd/MZlZvk1AvZD5YC4oZA8UzfJNpkD4nIRh0R0/lTaQu0e/SbF31UGRmnux9WyvlK1/brwta0synU/rEjH+ged5oVtLull+slnnr/7htfjj2q047YjFuGHVegBqTSnVMMv2lqQUcvU+DPD9e9bhoed21N+HROgPiDAra7R81l9ivzFmUbTMEOuMv4dac2/rNpaWCs8sxka8ndzvmkXlJMczqhNQ+0HbMffxcoDmmeXTTBCUpuXN8uP0mImixATT1Sy/KkTL1xFUmdQjuod5TeLuaZDAno4yxqd8Lkg3nZ7bRx1z7zCNEZnlR0gzxW6n/UncgBhP2xaa+wZR3CFl7hsm3wbtZBtT5A/PX6coeQDbsurpYQiD2NhBP379wwCAWV3qZZ5mxZGGV33xdwCA697/SrziwHmp95sF1BOl4slt1NLcMz9sj/jcW7x62rgaaYbI50w+9+RgE9N5MUzWzPO+0ibRz4nR8hPKSK2PBawjm5ba515dcNwsn28fH7XdnNjnUuGx3wzN8hNdBQw6zcYsv6ma+8Yii1l0QBhDSw7IxhKC1Rr6vJOxKDeY+6man9i3VGMoM//ea6AbZxz1IgAR00EDzlHQqSD1uY99J8IqAL/40wu49JePhdc6yiXC3FPGTFq9pD75jaFZPrGCAoBZ3fVzZnh8CjU/QLnkpWvuITKKfJ1h1hnDfZG6A8jewkb4GtfcN8pKeLaoWEVGpXLC0uhzZ2jdZbDPKPqiWWb5UyRYJEUvzXPfTM298L7tQJfKIB7VEySKfBE+98r4FAVz90zhwJj77Zjict3zFk5tmtogJziz/BmOcDJLCGWzgHrJ+On9z+EDP3oglsouK0SfvSLTN5mCmVdKzfIttMI+YTzp/zphxpdDSZaHn9+ZuCmPTFSVv+VlTnf/M9u17suiuU+Dkc99KVu0fJnlyFEvno1zX7mfunIFeObZfiAok8J81PPW3NPSEvPci+NsUJ9MIKnyuU/W3Nf/yzRuJoEdle2Tae41y4i0wen16CAporsKrfC5F5dNEAgB9azrk2uMdCBLI8gEttVacn74nhSzfArGdDDCWsw3Tp+XbkkK5hKov/9tf97E/U6J9jzz3PtB0Ii+36inUd5eA93oKHuYqgXYNDzOvQcVnMRT+kWfVebe4n67c3QqsY0y1wQKk/2ILQ9REBdGAE8orA3IFG6vo5Y9KtetJISCzZjmvlFXEzX3FGmp8LJaKKogjm+7RssX6WVqXUPjUmRtvcosnwoZiwR14+1uCF5pOjzaD01L/9wiOOZ+hkNmUuilMZ6Sy2lMx8evfxi/Xr0RP773Gat2qkD9goDmR3dPAjOvlGnubfKqin6CSdkBKCF6xjfvFiKaa1eZ26HXqakyNEmRJpqvph2cOgwb9RnM4nMvY+67K2WrPNuqgHXG5RDhUJQfmu9Du1R4gfSzGImfIiYgtBB20D3LyudejGEhmOXzsQ4M2idNhReZP+sgL0YrLC/Fx1iGIrVtYolTKrN8wefePlp+43nJb8rUb41naoJQFYjmW5WY5cva1pNilk/B3LfYGuwS9sw0s/y45j5CgPjYU9PluhAln3GmrgoAHwB279n1AFXPbRsN72W/hfeT1/aIexQti0F2Pn3lN2vwss/9Frc0suuo2giwPo+Pm1lqTtY2/nok0Gs+LWJjeQAIghSbuEAKzWwpRWGUF6rcuEbgfO4TzfLzbU88pWq+5ecFsZ1UCVcplTghYB71NNvn/r/uexan/ftdeGFHXahYKnnobsQAGVOY5bcDD1EkHHM/wyEjRBkR8++3P4mV67ZJnrFH3n4sYv7myLwq12qsUA2Z+zjxwA4Yo1R4gskbPaNEZlKUXAeKz2nIK1q+rA9kMNHoilrntK4UN2vZO1ENZxbBhuyZjkqJmJ/pg9PcZ1h9VAPJ5kcsWn7GgHr0vZNaGtdo6NcnM8u38bkXCVGO3giENWPSvpDZIxcNzRp1UreZzITIRNpcc9+M+CWMoZUFWsyDH8gSCV40Lwdo3/hKhgYAujtJKryUeliKLkZYi5r7tGwwqjRxQP39u4TyKuVoP/KJpl13jqi6siq4gdHy9p3TCwB4bvsYAPk8F4UtXEA9gSKVWRl+8/drAYBzQYi1kebwlmnujdY7o6FEzT27IelZ/XpMYBZQr/7f8wTXk8ZHE+FeWFZsDNlZql2UFZSae8Lcy96HvWvRee7blWEU35sK+UslvbmsVU+aWX5BC+ITNz6C1S8M49JfrgbQMMtvzAkaUI+Pb9SeY5UXHHM/0yEhRNmBuX10Cmd/+4/xRySTXncZ5LG3ffd/nwo/x9IUFRQYxQZTYbR8dUA9E8JZNA+l2o40X3Vx09LduPKKlt9R0dtKTIbNNFq+jj8/e806A9wwvbWYSzIiobPMa8pskGUYopgN0dwR+9DEv5JBZRViw7Dr1Vf/L0vfKSJJKCXuHTxvr79GVOB97hkTovesytSXwsgsX6J9TkORQbBiwh1WhyjcC/j5ZWvHkCWgXiDsuwA4txaZJQkDDaiXllIsNMtnmnvRLJ+8vWxMYkuAfA+CePsqJS98JoC5z70K1MRfLG/fubzmXh7Ql38FmVUhQ2iBJNm3OirqF2GxRio5+Nyr+q2ZPvd5CH1zCYInEYQBROlSMF2m8rmnFjRTEgF2swLqta9ZPv+dxv2olEhsjoz1hPuwgrsvuneYO1Cl4XMP8FYK9KxpBx6iSDjmfoaDTd8k07fYM7I5r62R0rsvDWs37wIQbZZxs/zWq+6nFAH1AhBfdpOAeoKVApf3WCgnrqVG4ncV8jLLlwk4ZDDxdY5Fv09poo7Jf5QqhWruzaW4MqEN7QPbVEVZiAPKpKiIYpsgMvQRLghdQlvF32S3qrYhWdAm1fxKmhPU/w4QNZ3ye3UgS41laqIbWZBoV5sIG7P8yHWjeCKH1SHWVDfLz16+jiVE7JnG/xrZExgYIz5V82NCIgrKVFDfThk6QrP8OrHZJZj0cwH1NDT3YmvEcaTR8mnQVV1XENVdNT/g1jMtb59Qc8+Y+/i4iOuG97kXGNAEpjHJFaxKBO8yAZrN/qz2uU/aB2md9ohZvBkUJu6DDDZuOUrNfZPcJVWa+7RMSrYpFdMQt1BrT4ZRpJc5zT1Zg/nluVetlUzFp2JXI75UyfNCwStnlk+6oV2tLPKCi5Y/wyHbbNIIoGyHUD4LZkfDvJ8d0mFAvSZGeE4DkxDL/IFDzY+R5r7+X3xXIO6GIB7IIhGhu3FlkbhTwYWuWX5cu27CICa3UZwTsi6QBdRj9+p7zyqITU3rBRHc2GVYPuz9S56nDJaUlL5OBVVMgKS2mrhfqJ6VWRsltU1ETHPPaTr5mWekyWv8py0KNaTaQtB0ZtyEAbEJqFeo5l5oOxsLcQ2//4cPoK/LZOXJ4UvmjC5kfuE0HkeSWX5HuYR95/ZgZLyKF8/tTaynQ/C5F5lTyjxKhWHid+F+cc/vKEcZQabIe2SVJ/k+v+545r6uud+wgwXUi/dtknuBypdbdt53VtTzpkrGVHYW2jDH4tzS09zng2xZVOr/xfbbCPZlgk2geYGOVT73AHDaEYvxxMYRvHz/ObHf2DooOlp+uzKM4rnPTNVpGjwgD829grkXzl7b2CppmKLR8lPM8ttVEJMXHHM/wxERytFiStPuyOa8LqGZ13LZPVFfkKpc1e2wiarM8j3YBdSjWmWAl7THmfmE74H+xpVF4k7NUNM096OTVTyxaRf6RUI+oVrTiObxd44/QAl1ug5qfoCO5OI5qDT3kQRcvyxdbXgaqAZSpZW10twH9DNpa5JgRvxu8VpUO6T2uU9g7hs/0fzltH22WrXwOUkEcP2AeqyIBObehAFpM8292HZVQL3nd4zxz1nXx5iO+Purupg9I9NsVkiasCSTfwD4/cfegFoQpAr32BxW+dynjZxYPR1qPwhi49hVKZOo/74y0rm6Pvl9tYC3tqC39TVSkjFtmYzYLwnrJsmqMMkNrzNBoMzi4VTKHmQJfIzWu6Jt4e+JQs581laWYkS6giEta5K0LMVaiISbxdJlKs09AHzzr49WMo5FBQ/NknWlmWD9xrJZjE7WNdxRmth8NOtRtHz+Ov0aBHZCWBOUPA/djf11vKoKqFdsG1oNx9zPcEQHU3QtLaBOJv+unAhFtvnEI1436mmDXZQxSqIGJoCdViwmyBCYT+5eX32oiBGokxAd8NrNDEFNu1Spyhje8Z0/4tHnh/F/X38gdz2p2rgmPrmRYl/L3okS8pWE/k2DbFw7yiWrlDI882zUDKEctlZIQLAW+dzHNff62jOZplTFtOoQ1nx0boSRw+mjWaPlm0YDtsnLnoQaGXtdNMtPFiCa+5T7bJmDNAY8CWyJUKaABtRLM/mvlEtahJSouRd97tPmQswsXBBWiaa3+8zp4Sx4grCPNBqbgJofcPsl7fNuwc9VFlsiboEg/wwQ4bOEEk8SplRDZqaEMcS5e6No+Yp+CxmipGe1azFDHu23CYKnzHPfJLP8qsLnnkElkCrKSmm6BNRj66G/q4Lto1Oh8oztc6zXiouWn591gA4q5UhzPz4p97kvOm1jq+F87mc4ZJtxqlm+ZM5rm5tqtisNbPOpxpj7gkV+BphMMMu30YpFZsTRNVm6tiCI+6n6AgMmO2T6u+ok6FEvnh1ey2IJMckx98nj8ujzwwCA6+9fr12+ToA8/n7+u2zOUtcH3k/PTIwr6y+qSTLS3HMMcwbBGjlYxeBdDFnN8ikSGetY5DT9+mTWRjY+9zJf6vCTxlxJb190zVTzkYUZlUH2rmkos3RveeeHQrwfQp/7lKpsW5JFWCITjIQab2rOnnGs2JpUau5Tyo8xxeRzEPAM9xsPXgCPCDAnOR9bTc294jrLcx+VF/3W08geENfcg9xPF05ck08RmXvH25FkLValAfUkL2Jy3CnN8hv/dX3usyCLhjjXgHoNqFMWGhdlhCSz/CQUpbkXx75dg7SxvWFWd90+cWSC19zTwJtZIHPDoeUDxVt3APV9o0fic8/luW/TscoLTnM/08EIURp52oJIMdVIZcWoQBywvby9NPeRdkAE7WPfD7TSD7FX4nMCe4AfcBuR3G2Ch4xXvezMwzEx5ePEQ/eK2plB4k4jruoiKVaACPEQSBvzNNcFgDJBPIFiOp1kQhtTgiNC8tjqgjKMXQ1/1Bhzn9Esn7+uT9SavBa7l66YLD73MX/fhtaenx8GmrCwfXGhgbb7koLglt2jA9m7pqFIP1mlz31a/1g2RSZwYVDluWdVyVwaaEBKGssiC5h1kzpafjJUPt9AfY3SPfxfzjoCQJTFhDL3WeVJqjz3AMJ9hwkwgiB+T1zrS8vif0tiQBM192EqvJJi/A3Wu0TYWP+uUVJOSyvLEqVZVCjsAurJy2qWFVCSWX4SihI+xBUKradLZWDnPlPw7BqfAhA3y8+eCg+N8vjrdA02o4dKpSig3vBYNbzOm+W351jlBcfcz3AwYsrILD/DBpXX3jbakCxGRGv9IPfCQySferKA+ZHKovZy/txBgFIq6SYPihUemuSFZYexqLmXHbKzuit465F7cdeyHMqUYNR9XiTSkoh9HU08f78oDFDfU48krX42DbSckOAoe6jVNJkYRTtz8bkvRYwDDSYD2Jnl28yNuLDJhJgOJZIhVMRcUttkvtQlD6hBZpav3TyF5t6sHBWRbAsrzX2TTGmB4jX30Tln3qGyvusIrRois3xr2Z1QJusDU819T4cYQI6qw6I+/srbj8BeA931OhtjPFGjzL2m5l5xGw0yKN4nBrGSnWmC4p73uVdEQWfvRudqkuae7XOVsieVmthovpWWE0kC6txS4SV/T3w2dE8S+7b+32T9h8ybIlp+0cy9aMmpC5v4AjqIu0vmWnxuYO3s724w9w36OjTLD3n7bP2jPIc4zX2mKrRQ9jzsP78e4PT2NZvCWAycWX6bCmLygjPLn+EIFXUShtEE2mb5lgtGfG43Iw7YZu4Jm1AbLEwds3xA//CUbYwyAjwt+m8AvVRKAAn81yhz/fZR/NtvH8fmkYnU9tKAerqjESNSEh40DqinITigJopJqQbTEGmGojI4E1AjZpEeOEbN4ECZWZZma1ywrhB98PXap6jPwOne5LVkJus2PvfUBYOBS8nDCVUMGijzuTdM9eNraIPN+syc6C2SuRf7gfmDp+3btgSXzLebQR1Qj69TlueeRpnPrLkXzgkx2nvJA05qWFWddsTi2PODvZ2x+xkCBJyQkYExwJNC6qssoMy95/F9HvrcN+pLNcsH/3xMcy8In/n83OoXqYVparPq7eXWBwD1uVeX1h5m+fX/It1nw/BGfcFfZ9+b5XNvqrkvKhCzuHe0K8PIhCKzQs19lDIOoC4m2epRxSfxhL2qaJRLHl6/dCEAYMuuyVDYR8fHae4dpjXY9KVrLT2gXvb6TPG5/3mM+z4xxTP3pdAsv30094lm+YbMPSV6ObN8dmimSBz5oGeBlPGSEafiofS2K+7B0MgEntk2im+cc1RimynBqB0lPMaAJ9wbiN/TGAP+u+x2amJL14HpfGJt6SiXQjNbSjwZEY+Scm0QRkUukUixQqhom8joSp/7hGdMhDiqp+l0VQVs1EqFJ6oKGzVwWQqszHSja9FU0lwHCiJIVo8ObMzyZfE8ioIqz70I2+mfxedeHi2f9Y2vldlAB+I5EQ+o5+Gr73gZ7nxiM95w8ILY84M9fD4PjmAOSNpY7j1kZvnZ3oMPzseXxawLJqs+Z76v1Nx7PKMWS5MnzFE+9oy6jdUwJZYiz72F8FWV3qsZ/FzczUm/UlXMCM+C4U3132+S5l6mUEmCjZWCDtjrVhoWfO0UpG3lum244D9X4eLTDyM+93WWb7jB3Id7Uk5uFTKBOhCPll80yiWPs4xi70+9EttoqAqB09zPcMgkaWkaCNni0z1MbDeHa+5ex31nWmHG1FZCs3zWxtavTJbnXpbjndMKa7SVjz4cXZf5HMrNzaPPgeIe2aiXhQN+qKGxf/T5naltnuCY+9TbY+1Mg7HPvSg4kPVTLECjvK400NQyDAM9HVaEM606y4FDTWC7OhhzL0bLt/G5lzdKxySewYp5JtdUyRiS+kuM10HLjAmZjOZloywJw6Ib0kDFHHH3GPSZjVl+syJcA4jcVVKqstXqRHNG//1ZXaHAT7DCAVgqPHvBAYXI3MfN8oG+rgpOfeli9HbG9S4x5p68qx8EsbMSiIJ82mjuVXvZZNVX9kl3R1T3+FRNmrFCle4u6TeZWX7SXJmiAfUkv9ukf1MH1FM/S3/KNn2yCH3r/1VWEXnkuW9WiuLI596MdSkqJgAV8gPtFaTtQ9euwtDIBC64dlUo7BLN8tkeFNFB2erUipbfhC4qlYRsSI1KuTz3M5y7d8z9DIdM65DmO2iStsr2vjQwJiTSSNWvs02jHZYla6NMc89tLBp+zvRQoERmaDqbYk4kXpEdMjLCnxL4lMFdsqA/tc2UUTT1NWZIYqpNGTCxrGSz/Pp3Wf/qQGa1sXiwRyuCsqpNjSeN2kHBiil7Hroron9uHTbEl+qRRKJW1DSZMM+N/5wGUkHMJea5lzC8qiCKVqnwOA1kuoku1zaFNs0Woeltm2juxe6MNPfJddmeH7LYMgxpPZKU575ay9EsX2icGKslrfyBbp7h501d5dYboea+Rpn7bO8xUVVbM9B9Z3yqFrZJlQrPg8dpYdMC6plq7jvKJalbhtl+JGdodQJm5KWEMI0/wz8rn79ZzPLFcW9WtPyplFR4KhQlyIyb5edafCbIgsf1dfF7CFNO2KTwldbpy/dhTnPfBOq9UhLcLiXC5XYSxBQBx9zPeDQOJnIlzec+y5zPa3NjmgaRQI80ZK1fmFO6ZvkaHUo1fmVOENPQXBABgezdfYHokZvlx+uNJNq8Jp6lTNFts61lR9JTpgSN2M+yKSIGeLIN0ChK7AFg0WBXZPZtUh5lMjMQRxEhjVBzLyJrnnud60A2IkGavlNxUiX1szxafvQcfdaMWG6UBXm5emXwQksZrMzyTTT3TNvWBCKHRWtOW2f2Zvn1/zbCkuQUpH6k+cyouhezaYhrNK3px+w3R/lbEBCTZY65r3+emKJm+VrNVWKy6iuJ+FLJi4J5TtWk/t6ixUuZdLzIgIpzlDJn6hSdARd4Taa7twl4KpYTCnKTfO4Vn00RN8s3fzbuJ2/OkKusGNj4Fm1RaR0tvzDNff0/Y5LbgS5l6OuMBG1s/x0Q6DpGv+TlYiJzwxG/N4On7qqUpJr7NCXZTIJj7mc4ZP6haQSQbMqb6LXyQBgAQzDDYi1vh3U5lRBQz/M8I0EEPXS4lEySQ0l2QPEpzgL5xiUZdmpOR/2zdSJD0zr1NffChYTnTE2748IAiRCEEZsZzfKZsIUS6ActmEXaqg96bxbiI8rXHaXCE5FnKryklsY19+baITphbXzuqSWDWGI9Wr5dX0v3VEPNh4oI4uoxaFMotDI40SO/8vw3U2UqvFTm3q4tNqbzrCqZhQdjxHM1yxcKENdo2rl85lEvwmfecqjwTP1/PaBeQ6tJzqPO8D0Ic5/RQHwiweceIEH1pqJMA7xbYPQ5CESfe74sdg6xM5TGDFEJKvmI+vI892ZuOPK1pcMQ8UZZ9ussj3Mhrm03L1tlIcOKLlpQaOtzX5Tmns0Ndj61U0A96trD3vuofWdz9ww3UuIR1jtTnWqz/OhzM3qoq1LihLGRcJnQ0e3ARBQIx9zPcLDpy5vlF6i5z8ksi2nu2WYuBtRrhmlPGljbYqnwGk0T/QWTQA9FXmMZP5RkByjV7AeB/JCRm+XX//tBgFGSNk1n3+NNJPXGw4RhF4tMa5OOGb8vEPI2fof1ttTv7yiV8Ov/77X4nw+/BoO9HVaEMy+4MX48RJSyy+N8XymqOabCS2SshXGVypoUXSVjnlVbVlJ/yYhalVuPlVk+uRYK8jTL0clzbwJZrvY0NMtPFqDzLrku25Ykae7TulgWLb8j3Lsj//KsTHGH4GMfD6iX/LzneTj/NQfw1xr/g4AEkePcWeqfebN8k1bHMVn1pSnuGHo6olz3MmKf879FwFvWCH3MtPoyn3uVoJKet5WyThLaZKgEGToCPT5oZ/Y2qC+oocqkYZMtQyWUbFZaTWuf+4LcBkRlQTtpg/uJCT5bEz2dZbz0RYPh9SjLSON7xubrCJnztu6QlcdiCbD9j70n56rQRoKYIuCY+xkOWY7WdAJQMul1idacmO4JIZVOpGll5l+5VJMJk2FaFvkyMiGeKWMqM8vnJY7x50UBgozJkI06LX+MaO51Aq9VOeY+9Xaj+1ibkr6LiAXUk8zFyAS3/t62ZvnU5HvZogEc3jgwbczbOPPwDOunFh7Uas29XUA9+fXEdwzEr+bEKN2mPM+TZpFIDOonY3iJpYatWT57FS9erDYFz9qWxHgameUrCPgkVATGKU+IbdfX3NvVF421/jOsKrnmvv55qhZYawtFzBYC4pn63MvgkfOQrQWqCWcCBWqWn4dAiQnfZUUxwSI1y1eluxM19+JRKkY555h7haCSY+4V6yFp3xgaGcfJX/9f/OiP67h7xZK09nqDPeYPT27B4xtHFMWIZ5s+VOnJbIR7gaIvmsXc2vrcFx9Qr5jys6C3i5jlh6l7S5jfH6XUjAIketx3W6RllgDy19zLphyjf0pESEvbBzjNvcM0h1wLZq65110Gea0Xls9W9CPMyzcoD4TR8ivy/jQJWEXvkZnlU55MqrknHH8AuYRa5jNKNddjk2bMPefnn9HEWVq+yCCmVKGTC1hkHEMm0XDiqlKPhZo0I0cWcyGJDFFgsLhWkMGGkVMd+ElFZVA0hYhp8SQB9hID6oUMLy2zDj+w94dl99L2mQb61DHL1y2NCipMfO5Fk+c8IZZY1WXuLfeRLEHvZIIRpjGu+QEJzpaNKZ7Tx+epF4UFNjx36FYE3s+coaPxHhO1/HzugSjFZrJZfo0ITqLfPcEImBfaydc8G1969qn2sip510rJk0q1k+bhV379ONZsHMFnfr46bCMgSSXHvYUc3B6TUOmTm0bw7qtW4M1f/195OZnOhfr/IgPqydw/ioCtz30RZvncvtukgIImoMJDRk+XSx4+fVrk2hPFk6gja+9EmRnkVi5A/rS7bM51qTT3KRawMwmOuZ/hkBOiKc/kwGBkxYQyoF77SEiVZvkNhBGXtXzu6/89T9BySA4lX3LATQlm+bJDTDbupfCAB2eWP1lNb3OVa1Pq7VIkM/cis57cprimX30PIxpt8/Om5RU3s1CIt88G1OVATLPFkGcqvGSXiiyapvr/uP9tXLOaVK40Wn4pImMCy36XpYMyNcvPy48bUAsG0yCaPGfBf9//HN5zzX3YOTYl/T3U3BcULT8pFaCyzID/nWOKG/OrWvPDNWNqCixinsDcl0ueYP1hoblnpuFkz6dCAyZ4zjPPPYDQyks23xhzPzYZpcLjTO9pNwZiKjy+LDZH2fnGm+XLB5aeheqAemowP2QGZQRwDUUDb5WlxiMpqWfFOozOF4WVkI3mXiVEY+fNpIXblwms89w3bs+ToaNFscB07eAuKgNbr5Wyh4MWRpmQouC10T6SBapzjdPc50y7y+Yvm4+MzpMFdG0nQUwRcMz9DIfMNDXV516yQRVhdp2E0CxfaH+keWv9JppmIhb53GtowRWHZkXCfMoitVNtRYBA0T9qzT0A7G7kPgX0mEA+57Adkp6L57lPLksnoJ6Y07oUCouSyxYh05IBlloxSgBmmNaRv5uHNx68UHqPlc+9YiroErVp98aehXwtyPawJK0zq5Pz982lfQm/Ge6TiQH1NMtSpdFMg01ALRmCIMBF1z+MOx7fjP95+IXwGoVutHxbOYOMQdeF1CyfMZV+pBHPW3NfFtI1WQl6iFAp9LknQgj2HpNVpmm3qEOCSHMf/y30uVekzKOP1H3uo/aKgoe+hmkxO5t4s3z5xlQj40UD21IkMRhioD6VtlrH5/7fbn08Vo4Mu4lgXYa4Wb4JQ17/r/STN1j/VAlBwWiRqWpzNPdlS5/7PK2UZEGQ29XSe3xKTquKLidZm68MqEc+5026y4R8zCy/LLhLpAWmnklwzP0Mh08IfgYrs3zNhZCXVG5iijfLD33uGzO2HZalKlANgyyNnQqqVFalUPIYxO6l0msx/688oF68XjovdmVg7m03ysQ89yIDljLqogQ3SXPPXttU4yqWI46XjfaNvlcmzT1jcDwPc/o68Zv/73Wxe+zy3MufMUuFpy8wVDWR09xrEFPyVHj0Ofqwfr/IiH0Ts/zRyapWnnvdqaBKo5mGUHOfUdu2buto+LlfyKPMoOtzb7uzR/0Z/y2tS6J5El2jmQSqOWnu5/YKzL3nCVHkbTT3dVDNPZ0DTCDB4sPkFcCRMQuy+ct87scna7H9VmxDEIiae748lrprpKFN1/G5F4XusjdOmmXi2cfujZ2foeZeXdp/379eq85RcvbKYOqixt+bLCw1YXhV0fI7mmSWH61Fs3lchFk+LYq1p+hUgCaQtUTsN1FYk7X9oSAppvQgaz5TDXHIxpRlMSoL9DN9vXYKflgE5Cexw4yBzOctXXNvj7zWy2RqQL3WL0yVfxEDO/C0AuqFQhj+uuwADpm4Up049IO4tkFuli/R3OfE3NtOmqTHYsx6SpPicyJeumgJkrdZvs0hyXVjhmkdmo825tCs7vj2PmXhP2HKhMuesSFGk8zyyxqph2QRvamPMm+Wb9C+xn/aPF0h0XPbRvHaL/8+1p4soJo3I7P8nFychokpvqcQcoTEVcpGYXt+qIRtgHrusbbItE0hU1z1w701a0C9nk4+yGWp5DX6Sy2YSANtsyx2ADuDWEC9vJj7iQRLAPaeY1O1WHYS8XMAPnWfWB7bw0bGJZp7xV4WWnEIrnz8PeqJJp59qmwJptrOpDp3pzD3WegdleDLJs+9yuKok7l/FM3cp7jDqVBEQD255r71dCmDzLJFpbnPK1C1yiyfD6KZbx/J9gHmKisGeqRnZTuNVRFwmvsZDhnRY+Nzr32Aad6XBmb2J2ojWNPzSrmXBWlBnELNvY5ZvkJQIPW5J/XK6gggJ5JlzVSZ5ev4zlUlbcoTcbP85Dpi0fIlt4smirZm+ak+9wZlBTkdOOJ8lM3LPFPhJZrli2akNsxzAnPPmK+kcuXp4aLn6KNZhQ/hx5Ry/mvls9z35Dz3eo2i896EeYv2jmxrl+49jKAU+zOcdylV2c7/SLBlzrzKzPKpJpK9X4dJKH4JxCCXoubexhee+n3LLLpiY5wPb58cUK9CU+Hx7aBtrrc7SNTczwo19/WzSSfPvbgPys3ypY9Ky40sdfj78vJTBnTM8pO/J0E2BvXv7HcDQbRiHjXbLN/URaaU015HQfstzHPfBnQpg+xdResj1p/hPpKRglfFPilScy+jaULNvUA/uzz3DjMGMjOZNAIoywLPi8mbrAUIgiB2MKk0Q62ASkrJ2hb63OuY5Ss0T7JAMHQDlZnt1/stXmdSnnsginMA8AGY0toMZPC5T2LODAsV75c9L2pzQ+besDIxpR6DDe1sy2Qq2xS+W/yePAPqJea5D4Uo6ffGn5UTCJQJ0NGUSKPlK9pjok1gd8pyd6ftnXHhXUI9mk3i0mga+dzbzX0RlBlSpydrMP0pZdm2ReVXnATWv9I895S5D9NIZeOM6ykqowHPw+c+FHYHkfsA777Cm0vn53OvtgToppp7mSCMMvfgGQ6xuIEeprmvW4fQdcusB0SImmrZKyfNMpXmXrXXays+Em401dybnBMqJQTNlKML2d4HND+gnrHPvcW7poEW1Y6aexkNJ54PWSzsZAitZhI2mry7SGqWz3zuBeaeM8tvo7EqAo65n+GQmuWnEUCSOa+9DnJaL1M1XxoF2oZZKAoq/yIG6reZBhWzKCPAqY+oyq9fVmea5p4SNVpm+eQe+/FQP2ea5z7GsGmY5dvOJ2VKHgttDm8enl2wFsWnkGjurXzurZtknCIOIJoyRVlAxHwltS2KEh1noIKAJ5iNNGGSPZV9fm7bWOKzSe8kQrdNXEA9A+YtN8092Xsitw/5fpQmRLGd/rJzzvRZSpAyJnyy6ofvVMmouQeiSPKsPl5AZF4eFXbLfO7ZO03l7HPPom/Lios0975U6EKZ+SDgLQ1E6wWmuR9mmnsy15iAQYQYod9Ucy8yRar9yNQFK0nwl6q5z7BElXnurQLqNfZU4Xq7+9wXwXxzmvs2zHMv19zz/VZUtHyZFVJe1gEiZO8ZRssXNfccHZ1rM9oOjrmf4ZBpJWxMF3WXY16b21TNl0aBjjah1m+iShOkxv8yibicBlnKIFo2pyUnBJNKIi3TgMmCvdH6KFGjc0jz1gKpt0thorlPq8MkFR4bMmuzfIU2JNLmaBJ8Gm3WhcrlgEIVYToJ6jz36saK2nc7s3xBcy8xN07qZxpgkEHMsR3da07gcvtoo45Hnt8ZahmlEDX3OTBbVNhgYtpdKcn3DlNMcWb5cQ0JQH3uk2Ftlq/YPwGdgHr1/3Kz/Pzy3AOQaO6j36wC6hEGU+aPzNYMs67IL6Ce2iyfmcROVGtSxlJ1xgHxPp7dU2fud01UsXuiys0P1gYR8fGMtzGJfhCZBVX2jpy6EoD6XRhiZ6FJtPxGf4h7Q+iHbqK5lwhrgMjHWcfiLwtsfe4LyXNPXlUnwGuzIfW5F9ZXaJbf+J6Vfk8SsoaXcu4jqeZe4XNPb3Vm+Q7TGtJczymnUpYpnxfPLWru2eZJNW+tRkRQyn/vCDX3+ibu4qYo0/5TxrIkaGYANKLlx+uQWbLRVEEcc69jli+4Atgg6Slzn/vk54G4+4Ptoa/U3Id165UTN4uzn9jiwSo3yzcvX9U1SU2NGHT23ZyAjPncc9q/dKGBPFp+/b8f8AH1TDY9mTaSBpUbGplQPhvX3Kvr0Z0KskBqOhAJH1twmvuU9GRpVdmaSibFP1EVyS7L9nGm+Zmo+lFu7YzR8oGI8WVtNcliI0MkTJQLOMQxzosfjczy4791EGsylQCcgjIhvZ18ENA5fZ1YNNANAFj9wjDHeE9UfSmBLmoPZVUnzcO4WT4a78Df5yF9D6JIuo+6xMnOgNg1o/1KTlvYnH0qKwAmDBtXuErkBVuf+0iQkV9beM19eoDXZkPmIiHSK4MN4ZmNhZ0MKuEPIGaqyQ+yPn/lgfMAxAXY9F5nlu8wrSELppJmXah1uCjry2fBTNUC7iCPguO0j4Q0aSMD7FLhxXxyJZp5yrTITGsDBNKNS9nOxnUa6Xa8ST73KkxUa/jDX7Zw19LGXGfuqczyTZnqtGj5uoi7Etgjbo4q0dxbUDfZfO5D7t64PrH1pnnuQyGYhIHKQCtLzfKHhsfDz0lTICnQkAjTgHqmzKFNnmsZKHOm0tBHGv3kumz3dZn2XRfyaPnU554F1MvOGjOTdSBns/wgkAqdRGI+L21zkuaeMTpVn5jlJwieKDPd01GO/X7o3gMAgCeHRmLrfUJyTqUJ3YHktSUKtsN9TmTuDQWXSXdNEqZYtkSyrFBVPIosee7FiUQDnN7yyAa7hmrA2ue+cXueDB0XLb+N6FKGpGj53z9vOZYtmoWr/nY5ADKcGdufJGSNqsi3k2TCqRfP6+XawcadC17cToNVABxzP8ORlopGhkwMRoZnRUwQnzoxZ207SEijSKN8f7KWVSSMtwqM54pHtI0z95SJCwPqiZp7qVm+HDLtf1qAHwCo1bJvlKph/MxNj2L1C8Pi3YlliW2QzRF2CxuzrNHy40GWzCTg4n1Z5rVOQD27aPny60klsQM8Mp+PQ7UNBcIYMfDmxvo+99L0aEKbrMzySbmbhiNtfVI6KLEp+Zjl1/+3SnNP3Y5Ubh81BdMvwtoCyMJ6gT0jE9R1Ep97tmZM+1eGp7bsDj+XS/walblNpSEyy6fuItHvMRP4nCLqsWB2sulLXQFUWmMKqmGU9TFLhzc+5cfOUpk5u5h5Rlp1wjQTNZ5pQvy8Nffyc8teCJwWUC+PPPedxN3kg/+5yqB1ZrDOc19gQD3PI+dcG9ClDKIFiudF7hNvOHghfv3/vQ4v3Wew/lvjnqyMt8rKpX7NzNJFF+KYfvj4g8LPbC9i+wYXmLqNxqoIuDz3MxzyXM8pzL3hnOcCU+W4YOjBXRaYsXZYlkm5lYHIjFOLuU87gOmmFAoVIom06P+uG1CP1kEJjIlqXWOVFESKtxawg+ow+e/718eumZr0yqYiDUYI2AUVouWoNGO2BF8W2oPRpOydpD73FhWo1nTSWh+b5M12zaLRN+a3cJ2PAh5fFyJkjAVvls+vGV3INGFL9+rHr1fXPyf5nYrvlEijarZJlWkjDfmZ5dNYHUxDItzDOK6Uqqw19xpMpLrO+N7bGTKoUUC9rKnwgHjaQlmwR10EAS+clDGhoitBTor7xGj51BRWlfmCIi2+C4tTMD5Vi81VmRl4PBWeXLin0x66R4ilmAYhS2KcJjnmXvow/9VGGClM3+js0y5KaQWQx9rQQegiY2qWX0BAPTq3w3OljbTBogteZ7mktBQzpVtUUMUiqlfSqCNbFTGwNi8e7MZ//t0rsN+8vvA3UYBFhydPQU87wmnuZzhkJmppGgjp2ZKkIQv07jPFOInIGzIsJVZP6xdmmlaiYuNzrzqA/fi9ZS8KqCcybbqp8IBoPohMye6JtCA/AfmceKsSRkxVSiXiz7LbA4ERsjbLTyVa9crLkpItVmP4bvXveQXUM81zPzw+hRtW1YUzbP6avJVKUyZj7pMEDzKT4FzM8iVr9QNvWBJ+TmJWYpr7hL1Yt01sfzHVyuaVHopag4Qp74QOjsz109awXVts8tyzmmRWOIxZmaSp8HIwy6eo1gI+oJ6FZII9wWWWIZNM5Llyi5Y/mWCWT9LviZZSMqQFYWNprSaqfpy5l0TMF9enrOakaTY2JTeRzx48Vf1bmuZevJJVGAlE54RZQD254JUy91lTRiYhLdaNCkUE1KNaalsLwCIhnkM0mGcc+Qg/kiyoPOGevEBpsQMX9Evd96ohc09p1jYarALgmPsZDiuzfMNJHxS0YNjBLYt23Q4LM82fMEpDlN5WlQlxSIBzvkJR+axuziwf8v5RCXVkAfUAYNdksmk+by1gNx5GTF/K7yKRkhRQjxGbtr5ySs29WTExZJnWMbN8ye6uk7lBhOoR1Rq85y9bw882RE9kls9fl0UBV7eNPCf1a04Xhqkg0/T2dlbwkoX9AOR+wFH9ckuPLKiR/cAEouZ+2+5J3PvUVuO1TPcBZZ77xvU0OWcQ2O0lKgZGB2H/Uc09NcvPMaAexZZdE7zPvUUZ7HHRIoBB9E02yaaQhPEEs3zmf12tBVoWFWma+24WfX+qFosZIjXLj2nu42UmrfdJBaOtipafBykykeJzn4XeUVlP2FjuhIJXhfsgAPR2xuMm5IWp0EWmHfLcR7QEe/12oEsZRIVPlySeBUOo5MhYZ5R+Nv5bnuuFQhX/iF5j7aJ15xlcsR3hzPJnOMJAQxJpFkMQBNyhL1t7OimnVM/agknQZdGu22EPTQtkxYhBnQNFJSiQBQ6jh0pkbhY9EwSBNIdnmuZeJLLS/O75OACJt+YC4zz3kttFRsizPPSVPveG8zNulm/fkeIcapXmnieI2b0GBKRiFylLmBbVvRyzQ/cPVkcgtN9EE6YI3kYZQhVMfO51+yxzQL3G88d/9Q7sGJ3Cd849BoftPYBFA91aud0pw6UKqBf53OvthaZKclmOd13IrNuYJpJqcfMIqEexcKBLCKhnxd4D4MeA8j2i8DEvpapuQD3RUkqGdLP8SHMv7kVy5h5c22SxDHSXO3csCMUYx1exEChEzwrfNeuk5amshqzy3CfMo1ndHQatMwOzUmqnPPdUc98OdCmDGBiyM2EvzyvPfU1Ye1wduTkF8UhKgxrT3JMFPdN97p3mfoZD5o8proEYX2M45ynBlqdZ0riEuW8n8ydVWhgGk4B6KgJdFg2fao1VwcKkZvkqCwNPbmGwy4S5txTrGGnpUm6N+dxLHhDHLHu0fPnvusWJ45SNuRffLT7efmDuF6hq0k8fWC8lzOm8CIkGi/p0zPJ1rApU+wedH0Z5oxWaMC3mXiBwkmhUfQYkeS6qUBGI+x2j9XR+/+9/HsNrvvR7/N0P79cqh+4bKuFRyPRrvJTNGlD5FSeBVSPbe9lYUtckHUFHGi4783AAwF+9bG+88eCFHJNkw3jLNIa85j5/SxGA+NxLuoTNq6laEAnCEoQMSZYuQKS5H5+qxSxDpGb5Pr8Pyt5Ztd//ZvXG8HNvZ5nbF5TjYynIpSjULF8hjCyHDJ3J3lf/n8SovWrJPP3GGcLW576IgHr0nIqyOLUBYdrAlKCapmk4RYRC74x1JtHERWvuZXWKQh06/O0UH6EIOOZ+hkO22MSDVtzc5UxRUh3qsrJAxtxHG0TrF2aqWX5onpiuLVUF55Np7qkZkrTuQGGWr6DsWBkxs/xxfea+GftkWh0x7YbkflHjLrN80EEkYJGbvdqmR8oUUE8wT1MRo+Khn4YkguWn0sCHEoLYhBhVaIdMAupJ2wBEQX0CPs+9SZeoYm1QP20VYu+UA7dlq7Wmfqh0P12/fQwAcMfjm7XK4QLqKZh4pnHTmQaZmPtMmnvC3DPNPXFNysOX+G9esR+e+sKp+Pd3HdUw540LnkzAHqkqIs7HNff5cPd/em6HsrwOLhWefC1TQUnacCdp7qXCRY25oKryu//7VPi5r6vCtU3lUpNHKjyaGUh2BmTKoqLYr+zy3ENaFgD840lLAeSzp6mQZIKdBNtzPgl0z4mEbPmVnxWisqarojbLD4csI10dCVllmnv+nryQtPczC7/QLYzU7TT3DtMaMvNhcfMVNyTZnE9aBjxzb9pCNWRm+e1k/pRmDtthcHiqzLzFPJ0AzfXqKQlOWZ0qrVYYLV8glMYkJo8U1BTUdjyMNBApN4vvLOt20ZLF2iw/AzNBERNSZZjXOlGiAfN0eEn9vnlkInZNpkU0ERiyyzo+97vGq3hq865YGSofZJWswaRHVEI9FrAoMaCe+D3RLF+vPbUEgioJdO/IQpTyPveMiWfCL7VZpAo2ewkr1iZdnYy5Zwzq7sla7FpW8AEeo+umW4nnRRpU3lomuieWCi9nxks2fytSn3v+vg7Srs+efihm93bg06ceIq2D09wL8+e+p7fFhOei5Y/0lRVzbLAnMikPggQhIXgXHx0k3aeK0B9dFL+aMOTyMYji+WgXFQXUk/RpKWSgiyPOwuCWtnnuCwio53nUIqwNCFPU91nxXZMC6rHxzNo9SbFPbKz4tOpMiDnDDDxkee5dtHyHaQ2ZWX7M515Ybqb7E93QsubJpJiQBNRrp8Alaanwyhap8ET6UXYocZp7qVl+IK3TNFp+2ubHa+7txkM1X2RCi7Qa4rmA1QylmAvetP2MSRHNA01Nz8QuzmSWr+l7bczcJ2i1xQBXAJ/ZwUoYx4gmgRXmNZL1hfGfK57F8V+9M9QkytosN8sPBKGkfgOVZvnldLN88Rkb7WKsPZbaLMpkysZRF5QxEedWlDEkaNSjvxeagKYHtX+WaO4rokVOPnnuRWTxuQ8Corkn/UrPo7hlkUUjEyDrEirQYUMpnpFUc790r1lY9c8n4n2vO1BaB6e5F+bP5b//C75x+5PcNdFaQGZCrppjW3ZFwkrRukcZUE9aUhyqsy4I+PNaR3NvJhSv/9eJ55MGdqds35IpIvIG26eM97oCzPKpcocts3Yx9ZZZ54l7GoWpxaEKSSbyRVndJilaykLcKy4wdRvwEEXCMfczGBNTNXznzrqZmcy0nSGuPNTXsgH8IskzAiWLyMtv5MVI/2yQmgqPETkGZvkqP2NZIJCy50kPuSCQH2Jqs/z6/0khZ3BaoKMiJZ+y96LzbLLq49bHNmF4fCr6XUdzL5rlW1qCVFMYae3i8mTuNbWXpmb5SYexLBMEHQcbPzvVuqpwzD3/42+JryzAH+LSaPmB6HNv0D4FAWMXUE9dj2lAPVOCl9PcZ9i3KUMfZmNo/OsQBJwmVky6CBRjrYtQ80OeFYPndeQcKZ8hq889e4TOd87nXiF8zAtJqfCqtQSzfNGiIOHluxI09wDwvbue4r6L60Hucy+va2g4Yu79IEjZj9nZoTdfVbfppLHNwoeo9lMbs3wazFeEmFO8CLC2mga3LDLPfblEfe5zKz4TZAL8RM1943/W7tFKhZetihiShNuicoyOj9PcO0xb/PaxTeFnuhnHzfLTpcJJEr1A8z5TsFy6vOat/r8dpG4qiTjb4ELzRC2CtlGWQrNHibcwYmxZ7nMfKOo0DaiXtvlx2gbLjVI1jGlBkP7t1ifwvh/ej/deszJqg1iWpPDI2oLVY6dtUAXUCyMoaxYnrpdMPvcJJpPcfabMU8JvST6vQNQPZmakjQ8JAfXSzI05c1oq2CTCQXvNvbxOxtynBQijsMltLkJmnaVVN7l/d0rayyRQYVFkll9HOaa51xF0mtWvcsHQQRBEpuOyaPkMeee4Z+BdRszrCPevmny+F+VzH5UXv8b6aqoWKNeKSX8m5bkH4v0mWmfJoJpinLA44O/LrrmXQ9xDdQLqmUA1BrI0u7plyXo2Mss3bqI2qgmMXBKK0NxH/dpedCkgP5eTfe7tlBwiIlcFCXNfkEutyqUViGes4tJ2z/BUeI65n8HYtnsy/ExplXgqPP4507UXkEWS58YeRuSVBB1qB6FbWhCnioFkXJXOIwwcxpnlI6xXRSPVJJu76kBUBdRLM9/mo+XbwWSjp/de/8BzAID7n9ketSdmlh+HGPAlNKezZu6zmb3G4l2YPc6XpRlYLc0iI1ZuQt/IrFJk95us15C3F67TdSYyB+LUVmnXPQURZmVZIBSuF1BPX5Oq26Qkn8MkUMbv5396wehZCk5zL5rlE+KqnqIz/a2MM1coBDnaz0uscFT7cN7gzzbz50WzfLGMVvjcywLqxa1w9ElPqrk3OUtZnWmCYgrePD7gaJusPveqG8VzV3ZbfL8yEZbK6ZSyhSl5UjR0dq1Qs3xrn/v8NfdRWZ5V5oEiIbOoa0a0fB2z/Lx190kWtKJ1CmXoXUA9h2mL7aORFJrzWxdWgc6Gl3QLp5XLk7lvmIlTQt4zPlGLg4qBYGB+hbKNVlWWyJixseJT4UW5XlVm+XKfe3ndrE6RKUmzOMjH514faTRITehnGdEiEvKRKaFBQ6DWlkaHpN6bxTJVZDLL19NqmAfUU/82JfmR9jt7H/G1qjW5Fo4+EzMjTfAlFin4mqIvqPaA1m4zD1Vm+VNVdWlJ7xSDZqNsgztSv+fdKWkvk0AFPEwzz8abms9WfXksEBGmglveL9r8WWlAPWF+5RVMTwRnlm/B3bPnVa4Zsf0pB95+oLsSfk70ua8F0RkZE4TpN6S/q17f6GRNiyAXNXkmee6rXGA7/lyLC+YiK6AsEM9d2b6YRQHDxiDuEmSuuQ+tIqQm0MUzuEwwbWpJUxaYvDxAUxK3m1m+VHOfmOe+/j/r2KkESUB+pv8ikmJfiQo23gK2TQarIDjmfgZj51jE3HuchkDQ3AvPmS4+ukbylIwyiXZZ0vZ2WJcqs3yGaGNJ5xxVJtUy07ka0dSpAupJo+WrLAzKkWaEIs2EltPcW46HTSAzFUTGQXb39t31NTGrQaDa5qdVBdRLrFzjtkwpjxrDlRaYyzR4WqLPvcQEXX5o8ofqG/71Djy/Y0xaptK0j3yNayTlbYiZ0tLWWO5bqsCFnaEwT92/YjV5KIRtA+oBwLtf+WIAakGezvqkAh5x7On6qPmBltWIrRUNYNcHMsZYXNfNMMu3QRgtX+ELXSp53BzL4y2ooEPqc8/WAae5F/tTn/RkzP3IeDUmwJVBNEPX1dz7fhCjZehdKs297uGnukvU3Mvnf4ZzQegPBpuAeqHPveQ328wzJmAZfHo71SbmMhQZUI/SYe1ili/1uU/Q3OeVhUrlAgIUFy0/tGSV7P2iAEumeJipcMz9DMYuoo2h01iUcAUxests0tNFkudyYYdeSUKdtMMmmpYKjx2eej73Cs2L1Cw/ihhrorlXEb5M4yimvkvT8FZz2ChNnkqrQhSiyLr9mW27AQD7zesDQEwTDduvCqhn6ocp1pvFD0yVcUGEjiUJX676NxmxRC+xj/Q1Nw6Ph7nU5ZATkPS7qPmL+dwrTNWpGwYXUM+gS9KCXyZpwsTxTvYL1mtUks9hGpgFhIrA15krVNsZ+jY22k414FU/0LIaMY3fIUu9qIsAVAMXtTXG3BcUUI8Wa8Poh6bQflwQzkDbnodZfhpzz9ZmLcHn3sQSgjH3uyamtLTMouWP7I1lxcgC2yVr7lObklonEF9jcrN8vbLk9cppi5LGfhUvq/4/KaCeodeXEUYn7Zj7IvLcU+uwyOc+v/KzQOYaluhz3/ifNWZWkquqJ9yTF5Jizoiae84Ctg14iCLhmPs9BJRgEukUnVR4ScxbUREoGXNP/R3bKc99kLCpAJF2QoegZe8T8/UkwYkYaFAZKXMPs2j5nWV5n6ZpeDkpaOKd5pBNozQBQkxzL9w/PlXDpkY05BfP7QVgbwkSaUv568ZBsUSizexpvk2a5tl55rmXmuVTYV/jI70rKZo8fSamuOd8ovmOj/ncK/oiHJ8M/Z4WzT9pDxS7MknTrLvHRcSN3v2y+lUCyAkhg4YMdD5FgYv48oE6s5cUj4DBfC1Gn22YV1mQrrhZfvGaezuf+8b41eRzEpCngswCqZsc/b3ENPeB0nUtKXK3CGZlNT7lawWrFN1UpJp72XMx5p43vRZhHlBPfqeO5j5ulq+/SFQZC2yY8aQzhp2FRWpEmQKip7OScieP6F3zaxudG0xQ0i7aYBntlrjm2FzO2Pya4mwEiguolxShX/S551NK59uOdoNj7mcw6P7LpYaK+dxHn3eOTuH2NUNG9dCDJlez/JosoF7+9dgiLTp5JYVw5soK/eJEbSAf7ZN+Vpnlq+pUtVPMf9qhGeVfDD5kBQUTL2MA02pIawNLc9TdUcKc3g4AhLk3PPQjhkAeUE87PZL4PZNZviZzb2gekNQ3soB6cp/R6FqaaTa7M6YpI59FYlu8V0VkRAR5ljz39f+qvNFJwhNxjuYRqC2LWT57ZuNOuSUFC2qahCSzfNqmqu/rae5NXWQSzjat5yX9J5qzm5iRmyDJXU7r+cb/ZKYrmRk3RbpZPlsHvjL2RU+Hvua1ryti5KiroQpxawG5dZsIMUUozT8vT+1lxqzI7qv5AR5ev4O7JhVsZxD7qqwn7Mzy6/9l88g284wuan5EF5jMHyBSaOXZNraX1VPh1a+1A10KyOO+JOa5zynFtEpJBdilxdVBRDvHfxNpcEr7FJmysR1gJv5ymFagWkROcy+a5ZPV9nc/XAkZkhYk/a0IzT1HnGi0p1lI8i8CaBAXfW2DqCDqCDenuOmrSnOPIJDWqfLFFk0kuyplTNWqZtHyrXn7+IMqU+BUn3sxoJ5w/+ZddeZ+fn9X2Be2wqI0baluaTGz/ByY+zSG0TyPuPo3GaPOuWs0euL3j28Or02kMIwqv046fVNT4SmI8jDGgi8E1DPoEpXmXme9i8RlEtNoqrm3YQ5Zm29SRMvX09zTgHoNzX3je8mrM8lMC1qIzz1nlh//Pam0JAauUiqFAubiouVHn60Y78YzoZtQQqAz8bMteEs69e/VWuSGIbo59BiYVXeUS+juKGF8ysfO0XTmPjTLbywtueY+PitiAVmD6Jp0/ImgUAeyuy75xWr86N5nhHrjd2Yxy1ftpzYB9dhbSC1ECo6HRN0Grc3yC/e5z634TBAFVUBKnntDpYQKUfBGmTCsUUfOdp4ql1Z6jbWLHj/OLN9h2kIVzTyeEzr6vHLdduN6imLuJyTMfWiWn7shuDlU5kCsZaEG3CRafswsPx5xn/oYyQPq6VkLMHQKDEZ3B0tllMJMUymoLXMveU5luptWhzj3xLK3Npj7ef1d4bXMZvkK5sxWm5Nl+bDxStMymswNIMUsXzK3VQzcA89sAwCMpuRUV5rlk8+imbR4rzJaPqsDYqwQE+2VnJnWibFhZJZv6HNvw7ilMa3MxzUJUxKzfAbPi8y0q36g5cNvSnNRs+O0YJIyqIRilCEtKlo+l+feyueeCZTUTBd9rzyEFOk+91FAvWqY2YXvP1PNa39X3dJKR3MvWjDJ3li2REWGyA+CsP1yzX0dWTT3ImNfvy9+Yyyril6VAEj6OGEOZ9LcS3o1jGdSEIfLzg3PM3PrAOSBibNC7nPferoUkAe6TfK5z8vdNdksH7nUISIpWr54Jtf2IM29Y+5nMHhtb3Q9nudeg+BK+I1uaHlubkxrxJsVto+ENImgAiKTbZP0T/HAQzzxBhBtQtmTBk8LAuDW1ZtS6wzrqMQ194Dc5JprM/nZVtgie0rlk63rc68KbrN19yQAYEF/Z3jNNsptqO2LBVkyI57FWrNIzquaWkZTAVzS7bJ+UzH367aMAogHbhRBtb4UJj73ymj5Cg2FiacCuzcWAVzD514kKHIxy0/wOUxDmrZfh5mSWRUFhOGmaaiK0NyrxoMh6Q3rglA5A8cxxYX53Ms/64I9Qk2ERfBZALKTfB3l+HlMUSFCbZXgpNuQuZ/dcKMaGhlPvVc8S2VtlO2zMuFwksDU1IdY94yUx5vRq0OGqmIMwmCMRi5J0boWUUREeoqxhqCxp6NsfM5GPvH5+cXTlMTtFAsKkNOciXnuQyuUbEg0y88lV0ccSdHy2Zxn89YF1HOYEVBp7mPR8jXKSjTLV9SZFYwQpO1tJ98mle8t+6ZD7DOoTGvZJkmJYnqvbBNds3EYT23Znf4CDYj5T5lUPK3dVZ67zw1q5j75uZpAiInE1LYGcz+3jzD3ltHy1QH1Gm01LIchFyIuhRHJU3Mv+41aqtCf2XwZS9EGBwoCkn6NE6qiwFJ+nVpq0Jab9Ihac58uzBN/yiWgXgpzm4Q04cIODTNoaUA9SR1TNT9VYEjL0EVStGSxLUn1ieuGaqiLMsunTIppDQGC2HkoY3qor20uZvmc5l7yu8RSI+Zz32lGei6cVbe22rBTh7lPFrqrILOwC2mQJM29bgWaN0oD6mkEPVYhFPqKGUYM6BOx3qTYDkXRZrZp8AB+/eZFo4ZBLEs0z33r6VIgsn6k81a00KSIrFCytT9pHypacy9b72yOs7GSxa6aqXDM/QyGKuCZuO6ybkg+V0+mojjIfO5LBW0QNlDlu2aIIt1raKtSzPJlBDSVGFOsHdJn7IF4oBX2Pc2EViU8MoHsMZWfr66woYNI6SnGpyLJP0MUUE+ruaQuNl4qs3y7/siyFqtJ/qHcfaZ57s1+m5T4YNev1z+nau4bj8Qk/eRrUiT9IAhwyS9WA1Cb5SNTQD258CHUEiTM05jPfUKKNVMBkVVAvRRBkI7mfoobb35uefDCOmqaZvmmZ8i2XXWhnU4kfhlUmk3KDBWWCo9q7i3Gj60RlSURwO93eUT9l2WvoaB1hBlvRJ97Q809Y+5HxpNdeoD4epC9sWy5D41MxK5NJeypWYOnqiA7i+JV6C8SNjdE15LQR97ILD9dc18Ug8tchEytPgB+beWlsWXvWSFm+e3CMDJaYE5vpMhohuY+yZo1Eobl20dJlmui5p6jWdtkrIqCY+5nMFRSqrhZfnpZugvSNBJ3EhJ97tuAu0/TEJho7sOyhMJkAfVo8KSkqKS6EA99FuwoLRAgPSSTGUD1j7J5pdLcpwlJYpp7od4pie9hWdK/OlDllDdOjyTcON187tM091RLX2uMX5ofNxvnmF89IdNFgRQd65XrtuP+Z7YDiKf9pNoDe819/b+49vR87vnf8kyFZxVQL+WZHaOTqWVUZecME9B4JDVaLZAGehJhurd/4McPGN3P16V24UjKe58XsvrcewJTIZtOVNOpEkaagK49aYRqsv8wgWpWn/u9Brq17w39wkOz/Pg9snPnrG/dE7uWrLk3Gy/dea0TUM8EKpeN0F3GgpaS7TVFB5VjgVhN/e0Bfp/Li0SlgTjbLqBeY97O7esIryWfD3KFiClU7qVAcS61SVmC2DVG33E8URvwEEXCMfczGCrNfTwVXj6mOEB+GycQEQYdkry67bAuVRsZa5qJz30YFEvYn2QMA5M4VkqelDg3JfJFRokRXrIc5hSUiUu61VTzq8plnKaZEzUUYtlTEvPETknAQh1EQcyEVHhGpcTXXhapdlLwJwpzn/sk5j5+jQphxokVBuvjzRINGf+8XNNEp7XILLB3enbrKH74x3Xh9VhMBMgJDCPNvYoZlMTHiD0b09xnZxqjuWj+bNpc0fO5TyaY2P49Ua1p7dumxN/zO+Rp/HQRWULxHdj0gHoWz8fy3EvGk2o6O3KYb3TOyvqF/h4x93y93Yam1bOJBjINotBdxoSLdIrKWowFJkvW3Ou1K8t9sYB6BmtEtGhjiHzk9ctK0tyXDZQZNmDv0ZkQGE4Fus/lxdTRfSOyKG0DwhTRGUw19yqlCZCfu2tSzvm8IvKLSAooGynY6t95QXSuzWg7uFR4Mxi8CUp0XdyYtTT3mgxanhs7y7FMCYi2Cqin0LYzRPni9YNIxQPqxc3yqeY+LfWRDmKa+wYxKKYGEsGlwktgSpMODNkvKiY+NYVayNzL5wgzR6e+Z1H/mu30qQH1dAk54XsW4VhNeH8VzDX36t9kBzUdP/rzrom6Se2tjyUHe4w092rBifiObC2+7iu/567H4mGEwxNwjTOhN1QWO6KWQP4s/z3ZLN5M01dEtHwdM2i6dtiewfYDD9E4psVaYMjbrDe5h0kqPGEs8o4yLwPdPrLkuU+y3uA19zkw95L9k/udMvcS6zsAWLKg36jOpBzdIsT1INfc83h266i0rAktn3u9+ao7q+U+98J3gyUis1gD7Hzk2dYmszIpOmL8VHh+m89hui6K8LkvWfRlkWBjTgV7ScqRvAICJgl/8jL9V9UpVXSFzH1cc98ugpii4Jj7GQzOT5tMZFFDoWeWrwbd0PI0dQk19+Rgb6eUI0HCpgIQrbuGVlgV8VPmt0997mV1m9KIIuHEtCppJrS6ZvmmZymVMP/Tycvw5KYR3Pjg86k5t8WAciLRNRn6TxLitOJxv+lCFVCPQZvgi2lk7Od1ZEKaYpZvIMhIa49sbFXznTGKLLChCkqzfPJVZCrSBFFiGXmY5cfWas7R8vUD6qkZuzSkMXs6fuwywSNtOxtHnbR6QP6av7TSVBHdO1KY2DxAx8yG7xYDrsrGk+aUz+M96LrsrCQLl5lAR2QsTzp0L1x08sF46YsGteo0Yu59xmAkrS1+VjDBo4hIcy+pvyDNvZS5z2DhVVNYdLEhMQqol5DnvmgGd7LKhNcWZvmkwXn5WjP6h8Y+agelExCd8XStytLjMeQlukwK7urlZPovQnTDoRA1984s32FGQJXTUTwoM5vi0LJy3N1Y4C2qaQ03iNxqsUdaKjwbn3uRWa9ITPupSbhMc286nqIkvJdp7lParSsFTSREZJrfxiF0yOIBfPANSzCru8JdT2uPyiw/PPAIQRrmZLbV3Itm+YYEn9jFpgfOpuFxfOjaVVi5blv0/mkB9YwCKCX/LhMUqPqSmeiPS4Q0dP4ozfIRHzcGVb+J+1Fkls8H1DPSXim0pDo+93Gz/OxHcJY892mCoLQ1B/BCwNie4XnhWKkYKBHNpLmoz308mKkn/ZwnuIB6hsIZD17k8tCwapIV0dMR6XDy0NynCT08z+NcMYC44MTzPPz9Gw7Ca1+yQKtOE22t6C6no7lXWZXIoo4zFEWLyLaPLGuiGu6ncrN8mzz3Sf7NRZk7y9zqdEGHL2+z/LbMc0+s395+zD6Y39+JM456kfL+vEzmkxRe0aV8+yjJLS1yFZH43LeLJKYgOM39DIZKSiWmxNCa4knMW0Ga+zGJz307+TapNHgMYSApHeY+NLUXy4gzDDT1k2xDm6oaMveiz30ny3OfXE4uPveSa4yhYO1i/1W++GF7QuZWHlBP/L3+OW4ZoQNlQD2jUgCxB0x9/z954yP43Zoh/M/DG3DUi2c32pTcCpNDLY1YkbVX9Q6MARmXRMsPgujwj4g4tc+9SKiqCFTxsoqXNTLLVwj19Hzu5c9I26TZniheR/5m+WlrDpBbiLH+9BCt3+HxdP99oLkEMq0rFi2fBtQrLFo+qdNw+AIE6Gr4H7OzUhotn6Sdy0NIIXNrElEplTBVqymDT5pCrKezXFJalcR87jW4+90K5j6JoTSPlh+/r1LyYsJAWXniFSOzfEVMCZuAemGaUslvbO4VRZup3LV04Hl1BtwP8lNAUde8dstzT10x/vXsl6Fa8xMD7eYlqEo0y2/8z11znyDcjuZ4/XtVofCciXCa+xkMPqBedD1GGGustqQ7ivK5Z+XKfe5buzDpxqDSuEQpoDRyOyu0gYyoYBrSDTvHcO2KZ8PfZMTchCGjqvK5T4sVkIvPvai59oMw+nVXo12MgE1jNMR81eJUnJSYqkWae7P5pAqoB8NDXrxvIiVNnIi1m3eFn8NUeDn63KetM9kcUQlKJms+giAIY2lQ0FqqCt/KJLN81TuJ+xE1DaRz1mT0VdqrMIBmwlwS+zM5Wr5eq9JifyQh7ZnJFFcYQOVzH4GN1c7RYpj7I/edDcDOL57OG3Es+H2iGM09ZTxt3CqY4IQJzOQ+95EOpyMHIQVNqaVk7stiX2arN8bcJ5jpi1Zwsl4V59jopMosX804hMyKsiU8ZNNaljVAtpXFA6/qQ5nnPtS0mzD39f9Sn3sLM38TRD73dnMpS3YAGUKmstx+ee5F17a0DDp5BdSrKc7Geh3FWLokxRtJ1Ny3yVgVBcfcz2DQifzmw/YKP4sbc/YgGuRzARs7z9zX/7d6XdJNUEVTdmgQ+2F5CumjGFDvo9c9ROqVB9RL8q2SQcwby76ntZtujqph9/0Av1m9UVmGyMDc+timkOBmBFyXtua+/nsY7V9gMqsSjTCL52CquU/TltoGWdLRlHLPkwKifN3J23rN4F3T1plsjqj6cmKqptS20XkwqTDLh41ZvnCdEjH0J5s890qf+4SyTHzutduTQXOf9oTOfKSWSaKQxfMiYlxfc691Wwi2T/z7u44yexD8/FWlCgOaZZZv/nyMuU+Jlp8cwFEPXSRaucpcPpZTPeM8F5n5ZOa+/j85FR4PVTyIUCAs2VPTgqfq0EKytsl97lOLUkJ1LlgF1BOsIihCYUFhmnvVuaAHG2FGEqJ+pWb5uRSdGTIrxSTkRVcnzY+Wau4b9/BZp/JtR7vBMfczGIzo+ofjD8JpL12svE+HsE02rS5WGtbJBdSTa2WbDVq/Svul44Mrlqf2463vRA8+tz38rVLypMyBKaPa3cFvAyy6clowLd7nXn7PDavW40IikBAh1rFlV5QmjbUrMstP1iIyrWFfV11TJZp/M+KANyu1M8sP4y0ozPJNgyexYaz6gVWAI4AIL3L1uU++VxZ0kTJMtK8na75Uaw/w9HGeZvlxZpNo7jnmXvq4FGnR8k3M8hM195rtYVPXhnFLG18dn3tOcx+a5UflMgHa8Jiuz73Z5p7FXJdanqgEqwAwr6/LuGwd8HnuzZ9ne+NYqLmP30Oj5eeRCo/mGVeb5csFX7YQtbVJ2lsxFo4sFZ44xVTMfWKe+2TePq5tl8WXkZw7WgH1DJaISnNvk7ouKXgZK68oxUu4zi3y3ANEmJETU0cDFZbaTHPP9u0OScBLGfIyy9dJhZd3HyXFgSgLZzKlE5zm3mHagmnoXrVkfnLk2Iz10M2yCGlYO/rc85p7uSWEjg8ug8q0KEqnF5daq1LhGTP3Qt7YwZ4OAHLfaApK1KvG447HNyeWMTbJt5XWyTRO+pr7ehv6GwH4xmLMfZzIyWqWL2pDTAl01m1cyhoD7b3MJSbNBC/fgHrJBOtfHbk3Tj5sEYC6z73K7YCzQFCZ5ZPP4juq3ikeUK9RX6x+8z6JudDkHFBPt0k0Bocp0qow9rmX9DcbR13NvalmTZVdQQe07eJY7DXQHX5ePNiNIkCJYBuzfOa6xPZNabR8qrnPwyyfau4VjJbIzOftc5/EtCQxGOE9wswfFYI9ilkIpD73Qn0ixGks3lXzA+n6ktFQsf3KgGqjGmYKqijRjxvAno3/xq4VbZZv6yJTztmygPe5r19rNV3KwISWurFCctPcJ6RKpIL1PKFnlh/X3M/0gHqOuZ/BEFODqaDnc6++p2jNvcznvtXLkvaZiqiOiH2NPPeKiJ8VwbSfaixUqfBMGdXuTjlzn5a6iu6NtsMuMuA0ajHbmLsaxKlutPz+Tqa55++Xafg6Q+beNlq+yICazU8Zc59moSB7Hoi06K0OqCfOdxalN1lzH5WjMsunU13U3Kk09+J+xJnl0+etNPcCA6MRY8NEc6/dngzR8tMmqk20/ID0rUei5Rdllh8G4LTQ3NO1IHbfskWzws+LCmLuuXh6GXzux8Jo+RLmnkuFl4PmXsvnXmDGM/vc8+1OGmsts3xRcy+cQ2wusP3NRnOfpm3fODwuPTdzN8tPyXNfr1OvrDCgXoJZfnF57hvngqWAqmRhqZAEn9DXoc99m5h6h1aKmlYOeUWyT2K0mSVmmtLIFElpiUXrWXHsZ3JQvRnP3P/617/GiSeeiLlz56Kvrw9HH300Lr/8cvjtsgoLhG6KJJ29ONEsX6I9zBMyn/tWL0r6niqaTGTMk6Dy403SIPR0lqVja+q3rdLcq9IDMXCRRw0P9JAoFQIZiUQWEBFytz62KXF+sYNFpbmXpQSqWJrl725oevq75AlHTM3yO8peOJam48dQk7yfDDrzkSFIaYo0oB7J1hAEkeXFZNVXCi44IYXKLB/xcWOoBYF0TxDnS4lQ5JT41hfGRL76sWj5jJBICqhn4HOv26YkgioNaRpAHUGT+L51Bj/6HjL3hZnlN+a9hbkuzXEvMsavWxqlaTtwfr9x2TrImuc+dFkKo+XH7+E19zmb5as09woTcFuITIooLLjryc3455sewdhkTWKWH4c4x3YTzf1pRywO58JkmOdeVkqyJjKuuecvPLN1d/j582ccHgqTZGdp7JrBEmF7tOiSQRUDunRbUkC9yOy9GNrM1NRchE2MgSRQAX/R8QZMMaXposcQpYjNVm9kNRP/ra+hdNmtCF5pi8hFMmFOBnHNPdA+41UEZjRz/6UvfQmnnHIKuru7ceutt+LBBx/EiSeeiA9/+MM444wzUK3mO8naDSpzLBGZ89wLj+e9ucvy3Lda4Mabc8r718TnPvSbjZnllxq/18voI8zkmw9dJCXo2cb+liPUcRYoRJ/7Wd16mns+Wr4Z+jr5FE4MI0S7x96MMvyPPr9T3Z5Un/u4qRrr30nD9IEjjLnv5pl7Wwm4By+c52Zm+VE9U5rCPJ3sDQyp0fJTAuoFQcDFTFBp7vky5eaXSdHya34g9V/tEgRXkVm+qFXTGy8u1oYiPkayzz3/Wx7R8pM0F2lIqyJtLgZBkEgweSDR8seK1dxn8bmXjcPSvWbhlx96Da45bzlePK/XuGwd0GplvuFp6Ir53MfLoD73aS47enVqBNQTtKtZfe7Fse0SmP1zr7oPP773WVx511Nxs3yZ5l74PjJe38//7+sOxH+ccxTR3Ov43MsnbNznnv99/bYxAMBrXzIf737lfuE7ytZkBt5eaX1Ah0iXBlRZLdFrRTFMoZCiTQLq0aC67WaWbxqHJK/2J8VkYIqQ3RP58l2MPhSVVAChwRtrQORN2iVGQhGYsXnu77rrLnziE5/AoYceihtvvBEdHXWG5Utf+hK2b9+O733ve/jSl76ET3/60y1uaXFQ+QWL0NLcJ/wmLpBaEKBkQaioIPW5b7Fh/o4GodrfVVESTB0GPveqQ1PULDNC9rvnHoPB3g4p0cHundWtt7ypSXhH2UNvV/27Kj0QA30v002yr6uC7aNToTkpw3aSLosdEK88YG54Lcm0lzEZs1IC6nVIAkLpuE4wTFRr4TiImnvTWR9pQurmrmNTNSOzfDq12HikHehTBsRNulm+RHMvWHRQzf24luZeblJI+1Y0y1X5r/YKLicq30JTSwtA5nPPC+Lkz/Pfs5or0/psUuGpWjqrq4KRiWqqFYlMG19vT71kzys+z30mn/sUAfhL9xk0LtMEeWnumZWVjOmimvs8sjNoBdQry88xW6Rp7hme3rIbe8/uARD1hU5AveHGeX7A/L56LBtPsJiTRctXlMWQlr5uy+568NiFs7ob7ZU/J3vWhAlTnQuUdtBleEPmTfJb0cGOZQFxTcAey525L5XaJtAzA7Oe090T01xMdBFZzcTrZUqXXRP5muUzofGc3o7Yb5UUzf1MNuCesZr7Sy65BADw4Q9/OGTsGT72sY8BAL785S9jbGys2U1rGsS83ypkFV6Jj5tunmkHVYckWn6rBW7bRycBALMlGwoDO0x1fIxUBDpjvMenfPh+EEaTP7hhwpfE3OsGU+nhmPtSyBCJWnUK3w/4g0w1Hoqpx5hi0Sx/++7J2KMv2WsWlizoAwDsSMiVLVo3KH3uSZ91Wpjl7yaHU4y5VzCPKlChTleY1spAcy+Jlp+vz33y7zKrFGqW7wc024GvlNpTgnZSMX+pNiBmlu/LxzDO3EdEGB0jXWEhx9wLy4sRj0mWOuJel4eZdKaAeoqmzu3vBJCuud/W2Acp8yW+P1tjSWuXwlTzlyX/NdPo2AhG8gCd01Y+92V+r5Zt+T2c5j4H5t7C5173LFLBJM89mz+sO+U+9/wcY4In5pIWMfdqa6i0AGExs3zhOzvr5vY16iypGcQsGlVVUEDKgOmuuYCcVyLYEBdulm/L3OccE4DS10VFgrfFlLGVQz50NVNMyIQKfQ2lUd6a+52Nc2VQQouzearyuXdm+dMMmzdvxh133AEAOOGEE2K/H3zwwdhnn30wPDyMW265pcmtax5UQb9EaAXUS7hFfN50g0u7Xepz3+JFuaNB1M7p7VTes3Cgnj5pdLKWapLqKwj0Bf1d8Lw6w7Nu6+6Q8WORnOVm+XoaXIZukbnvqITlqJhecVNUjofiMmPARQHCdgUD8JKFdWEG63euilAq6zfKlgsnwowDEs2TSRDCXQ0Tzj5FzAPAwIebfGbmriY+97TbdXPbGvncp6wzFkCNK5+IwwNE7zVZ9fHCjnF5PVz70jWx4tz2g0DKiNK5DfBm+ZSh1xbGkCriZvnpmntx3ST63Gu3SW+fl9ahmKlsX0sTTG5rMCgL+qNUcbVa5HPvwTMmxq197q3M8pM190WDM8vPoLmfaJwLUs19Z96ae/68kCHm312gz724pjaP1AXgbA7LahZnGDufBxrMPevGyQTf5bQ3ip+J/Hd21s3pq7czKSBdFrN8FR3IBdQz9LmXDWfezLOILCkvgfwD6tF+LScIZlqBKUUQRRUipUS2F9i4s36+00wjDKHPfc7M/Y6xhqKtJ06LM4EWm9+iheZMjpg/I83y77//fvi+j46ODixZskR6z7Jly7B+/XqsXLkSb3vb25rcwmLx6PM7sW37aEowmAh/GdqVevhuHplQ+juvHdol1D8c05glIW2BcT73jV1o667JRP/rorH6+WEAyZr73s4K5vZ1YtvuSdz15GbsP69PeS/TyIvD0FkpYeGsLmwansAtj24EUNcuMKYlae/WNcmiPveexxODq57Zzvn5M4gM6PbRKel4bJcw40CkURXHkRFm9cZEH1k/P7FpFx59fmdIzALAw+t3YnSyFh6sLCf18NgUHnhmO2p+gKrvY1fjUKHrgR1+I+Py9svw1JZ6ICTR377eZC+sW6c8tnY8LzJ3fXzjSMynVIYgAIZIfzFhRlq+800j49rvyuZlEv703A5USiVcfffTGJ2shv1cb2PA5eJ+5Pkd0jIeeyHaMxjRGzPLJ68lamm37p7E6heGY+WqzPKf3z7GWUhs2KnXJ1RgpEqFNz5VU5YlCq+SxmpkoqrVpi27JqXt0YGKljtwfh8eXr8DuydruPsvWzCrq4xt20cxNLUTJSI8eui5HQCA+f2deH5H3Qpu9QvDeHbbaHiPaaC7p7eMGu3tUaAtc6L/yU0jAPJJEWcD3izfQnPPXF4SrHaYsBbIrkEHeLP8TkVwM7Ed2X3u+efp3kCFettHJ7G1IXDarxEnQWYR8cKOMW6ObdvdYO67ec390HB9/0vyuZ+o+lxZvu9j2/ZRlIeFPUo469gamdvLmPv69We27o7N/w07eaGo6ryVgaX5i5nlk35Z/cJwaLWQhKe2NGg9yXAy5nmqFhRCm7Gzztb6hI3hk0O7cnGHYu2p+9ybnftFY1vD5UMVE0MEu6vq249dEAAvNObpixquMRSMjnxue31/Z+tEPFNMsWWkvt4HJPOXjcvIRBWPrN8ZE76sfmFnuOYBYF5/JxYPxts+HTEjmfu1a9cCABYsWKCcNIsXL+bulWFiYgITExFxOzxcJx5932/raPtvveIejmgrAYnt/dhPH0ot84ZV63HDqvVa9b/jO3/Uuk8XlVLU/lJDZv2rRzbgV49syLUeG8zu6Yj17eze6Nres7uxbfckPnTtg1rllUrxsdp7sAebhifwld88DgDYa1ZX1B8Je3el5KG7o4TxKR8dZU85B7roARDU+7uj7GGqFuCd371Xq913PrEZdz6RnNOegpmzr9k4grf8xx+k9wx0VcI2M8LjR/c+gx/d+wx331u/eXf4+dDFs0Izx6GRCZz1rXti5XaSvmByjWe3jSnbkfQO8T6tz8/7n9luVF6JMPef+tkjRu0Ia26s+TKCxPX+q4c34FcP57d2zrwi3scMvZ3lsI9HJ2v4yX3PSe+T7Rllj18L/YRRL5f4U/p/n9iM/5XMv4VkrQDRYX/FHfy+//171uH796xTvoccPnyfMmf1/1t3T2qPfSlhrB56bofRHBL7K9ZayW9dCuZsXn8nXrLXLDy+cQR/c+WK1Lpn93aGe8a7r4ru97y4FjcN/+9/HjO6n6GieP+k6j9+/cP1ZyX7bjPAty153YoY7OmIEe8lSR/QMS7n8J60zrInP1ficXLk2Sx0Ic4hFdPy+8ejPeDFc3rqbZOk/PjeXU/je3c9Hbve31WC7/th1oHb/rwJQJ0xjL1nY8PdsmtCa53+9rFN+O1jm2LXB3vq5wjbm75w85rUslT7XRJk+4Pn1V9DZ41T7CXsqwDgNc6+XRNV47PUBB2ysdAAE2Zc1FjzeaHkRe/+J8M9u2hUNPuKtX90spa5/Z4HLJzVGauXWVTe/MhG3PzIxkx1yDDYXY7VydbxU5t34/TL4+/119/j5/3fveYAfOrUZbm3LU/ozv0ZydwzJrynRy2B6e2tS3V37lRLqb74xS/i0ksvjV3fvHkzxsfl5qXtgAV9Haj5PkpeCYcu6kN5chhDQyPcPf/ylgPxif95qn5/fyS5qtYCbBeCJA12l1PzZXoAhnZNcWWZYLLqY+d4XSt24ev3wc1/3oZto1NY0NeBA2f5GBoaAgActVcHDpzXjZGcg3LYoKtSwvEH9oVt+/e3vQTfvvt5fPJN+4XXzjh0DrYMj2v59gx0lXHkgkr4LMNfHTobG3eOouoHKHse3nrY3PCel84r46D5PRger2L/ud3YMDyJ8aqPvs4yXr64A/OPfzGuWrEB71m+KFYuxRmHz8c963bibUcswNDQEN7+sgW47YntqW1+0WAXdk3UsHNcbWq1edcUyh5QC4CF/R2Y3VPB3xw5Fy9s24UXhuOa4c27pvDSxX0454jZYZtf+aJO/GZuN3aTCP6bd01hoLscMsWVkodzXjYfAxjFq/YfwNNbx1EuNczmPA+VkocD5vVgtjeGoaH6+l3YUcVL9+rGxl01o2h4JQ/4q0PnxPr04NnAwQt7sU3TvxioV3v6oXPR11nGlhG9uUKfpevuiMX9CMZ2Ymi8vgdeevIB+Pyt6zC7p4J3H7MIP390s9XaedPSOdi8awoPvbALQQBsaWi66HrfvCu6tnnXFA5f1Ie/PWouyhPDOP4ls/HIhrrFw2B3BW85dB6uf2gz1u+cwKyucixjg7juAeCty2bhrif68aalc7Brxzacftg8/Pbxbaj5wJzeCtcGoD5G71s+nyvjDfv34eHnOjHZMFvcvGsK8/s6jE2iX73/IHZu28pdG0CAV+43gLVbk+O47BirouQBJy6di107toHZPX3ihBfjX25/Fj0dJYxN+UZ76ayuMo7aq753fPcdB+P9/10XBP7D6/bBHX/ZjlMPmSdd/69YVME+g11Yv3MCfZ0ljE76ePGcbrxi7y4s6pmH7+2eqM/HAPCD+pkirpOOkoc3v2QWFvd5uP3JaM8oex5OPGgWXrKgAwfM7cauyRr2nd2Fl+87gO/+8QUA9f1gqLHe33DQHPz0T0NWfpAv27sf/ugODI3FB7IvCPDq/QdwzzresoP1rwfgrYfL+6dovHrfbvzhyS4MdlewX29Vqw3/9taDcOW9L+Azb34xusoeli7owfaxKiolDyccOCtWRhAEOHHpHDyzfRyHzS0Zvef7XrkY37u3Lgic01PBJScfgEVdkzjqRf2oBQH26ZmSlnfiQQNYOzSCqh/g+IPi+6QpgiDAKYfMxf3PjWCfwS6cc8QcrH5+B9ZtG8eCvg5sFvajg+b3YEFlAkNDQwiCACcdPBdPbx3DWw6bh5/+aTMmJO5mh+7Vh67qLgwN7cYZL52PX67eAgDorpRw3L7dsXeYU/Kx/MWzsG6bQAuStbJ7sobRhoWQbD3v1d+Jgxr73IkHzcIzW3Yp5z/b27rKHgZ6zEj3/eZ0Y355PPYOb3/ZAtzxlx3a5XgATjt0Hvr83Rga2s391h0EeM2Bg3h8aFT+cA4Y6K7giAVlq/n0lkPn4LoHJ3M1ne/vLOOYRR2Y1xfgkL16w3OxHTCnp4Jlc6DVV105jt0JL5mD7Vu3xK4fuaBOq4a0YsKZYoplC3vR6+/GkND+vbtrOGLvPmwYjixIj9lnFvq7yrhz7Y5YOaXaREvOAROMjIyk3wTAC9old0OO+MIXvoBPf/rTWLJkCf7yl79I7/nABz6A73znOzjppJPwm9/8RnqPTHO/7777Yvv27RgYGCik7XnA931s3rw50XLBwcHBrRUHBx24deLgoAe3Vhwc0uHWiR2Gh4cxZ84c7Ny5M5EPnZGae/bCSZHwR0frEp7BwUHlPV1dXejq6opdL5VKbT8ZPc+bFu10cGg13FpxcEiHWycODnpwa8XBIR1unZhDt69mZI+yIHqbN29W+ids2LCBu9fBwcHBwcHBwcHBwcHBYbpiRjL3xxxzDEqlEqamppQB89asqQctWb58eTOb5uDg4ODg4ODg4ODg4OCQO2Ykc79w4UK8/vWvBwDcfvvtsd8ff/xxrF+/HrNmzcLJJ5/c7OY5ODg4ODg4ODg4ODg4OOSKGcncA8DFF18MALj88stRrfKRvL/61a8CAD7+8Y+HUfMdHBwcHBwcHBwcHBwcHKYrZixz//rXvx6XXXYZVq9ejTPPPBOrVq3CE088gU984hP43ve+h1NPPRWf/OQnW91MBwcHBwcHBwcHBwcHB4fMmLHMPQB86lOfws0334yxsTEcf/zxOOqoo/Cb3/wG3/jGN/CLX/wClcqMTBbg4ODg4ODg4ODg4ODgsIdhxnO3p5xyCk455ZRWN8PBwcHBwcHBwcHBwcHBoTDMaM29g4ODg4ODg4ODg4ODg8OeAMfcOzg4ODg4ODg4ODg4ODhMczjm3sHBwcHBwcHBwcHBwcFhmsMx9w4ODg4ODg4ODg4ODg4O0xyOuXdwcHBwcHBwcHBwcHBwmOZwzL2Dg4ODg4ODg4ODg4ODwzSHY+4dHBwcHBwcHBwcHBwcHKY5HHPv4ODg4ODg4ODg4ODg4DDN4Zh7BwcHBwcHBwcHBwcHB4dpDsfcOzg4ODg4ODg4ODg4ODhMc1Ra3YDphCAIAADDw8MtbkkyfN/HyMgIuru7USo5+Y2DgwpurTg4pMOtEwcHPbi14uCQDrdO7MD4T8aPquCYewOMjIwAAPbdd98Wt8TBwcHBwcHBwcHBwcFhT8LIyAgGBweVv3tBGvvvEML3fbzwwguYNWsWPM9rdXOUGB4exr777ovnnnsOAwMDrW6Og0Pbwq0VB4d0uHXi4KAHt1YcHNLh1okdgiDAyMgI9t5770SLB6e5N0CpVMI+++zT6mZoY2BgwC0aBwcNuLXi4JAOt04cHPTg1oqDQzrcOjFHksaewTk6ODg4ODg4ODg4ODg4ODhMczjm3sHBwcHBwcHBwcHBwcFhmsMx9zMQXV1duPjii9HV1dXqpjg4tDXcWnFwSIdbJw4OenBrxcEhHW6dFAsXUM/BwcHBwcHBwcHBwcHBYZrDae4dHBwcHBwcHBwcHBwcHKY5HHPv4ODg4ODg4ODg4ODg4DDN4Zh7BwcHBwcHBwcHBwcHB4dpDsfcOzg4ODg4ODg4ODg4ODhMczjm3sHBwcHBwcHBwcHBwcFhmsMx9w4ODg4ODg4ODg4ODg4O0xyVVjfAIRsmJiZwyy23YOXKlVi7di127twJABgcHMSSJUuwfPlynHzyyeju7m5xSx0cHBwcHBwcHBwcHByKgmPupyl838eXvvQlfPnLX8bw8DAAIAgC7h7P8wAAs2bNwkUXXYRPfOITKJWcsYbDno3x8XFOCOYEXw4ODg4ODg4OxSAIAvzlL3+RKiEPOuigkF9xyAdeIHKEDm2PIAhw5pln4he/+AUAYJ999sGyZcuwePFi9Pb2AgBGR0exYcMGrFmzBuvXr4fneTjttNPw85//3C0ihz0Kvu/juuuuw3XXXYeVK1di48aN3O+LFi3C8uXL8Y53vAPnnHOOE4A5OMARYw4OupiYmMDTTz/NrZP999/fCY4d9nisW7cOX/ziF3HDDTdg+/bt0ntmz56Ns846C5/85CdxwAEHNLmFMxOOuZ+G+OY3v4kPf/jDeN/73oePfexjWLp0aeL9TzzxBP71X/8VV155Jf7jP/4DF1xwQZNa6uDQWqxZswZvf/vb8ec//zlm2SLC8zwsW7YM119/PQ455JAmtdDBob3giDEHh3SMjIzg8ssvx3XXXYfVq1fD933u91KphMMOOwzveMc78KEPfQgDAwMtaqmDQ2vwX//1X3jve9+L8fFx7npXVxeAulBMvH7VVVfhr//6r5vWxpkKx9xPQxxzzDE46aST8MUvftHouU984hO49dZb8cADDxTUMgeH9sGGDRtwxBFHYOvWrXjlK1+JN73pTYkWLrfddhvuvfdezJ8/Hw899BAWL17c4jdwcGguHDHm4JCO//3f/8XZZ5+NLVu2aAmN58+fj//+7//G61//+ia10MGhtbjvvvtw3HHHYd68eXjve98b0l+LFi0KrSN938fGjRuxZs0a3Hrrrbj66quxbds23H333Tj22GNb/AbTG465n4bo7+/Hn/70Jxx00EFGzz355JM4+uijMTIyUlDLHBzaBx/84Adx00034YYbbsCrX/1qrWfuuecevP3tb8db3/pWfOtb3yq4hQ4O7QNHjDk4pOOJJ57AUUcdBd/3ceaZZ6YKjW+99VbcdNNNKJVKWLVqFQ4++OAWv4GDQ/E488wzsWnTJtxyyy0YHBzUembHjh045ZRTsNdee+Gmm24qtoEzHI65n4aYN28ebr/9dhx55JFGzz344IM44YQTsG3btmIa5uDQRthvv/3w9a9/HWeeeabRczfeeCMuvPBCPPPMMwW1zMGh/eCIMQeHdJx77rm4//77cfPNN2u7pDz11FM47bTT8PKXvxw/+tGPCm6hg0PrsXDhQvzsZz/DcccdZ/Tc3XffjTPOOAObN28uqGV7BhxzPw1x0kknobe3FzfccAPK5bLWM77v44wzzsD4+Dh++9vfFtxCB4fWo7u7G48//jj2228/o+eeeeYZLFu2DGNjYwW1zMGh/eCIMQeHdOy99974wQ9+gBNPPNHoud/+9rd4z3vegxdeeKGgljk4tA96e3uxevVq45gsTz/9NA477DCMjo4W1LI9Ay4s9DTERz/6UfziF7/AUUcdhe9973tYu3at8t61a9fiu9/9Lo488kj86le/wsc+9rEmttTBoXXYa6+98OCDDxo/t2rVKixcuLCAFjk4tC927dqFvffe2/i5vffeG7t37y6gRQ4O7Yft27enBjGWYenSpcoAlQ4OMw0HHnggfv7znxs/97Of/cwFac0Bjrmfhjj55JPxxS9+EY8++ig+8IEPYOnSpeju7sa+++6LpUuXYunSpdh3333R3d2NpUuX4oMf/CAeffRRfP7zn8eb3/zmVjffwaEpOOWUU3DBBRdgxYoV2s/ce++9+NCHPoRTTjmlwJY5OLQfHDHm4JCOffbZB3feeafxc3fccQf22WefAlrk4NB+eNe73oV/+qd/wpe+9CWtOF8jIyP40pe+hE9+8pMuQGsOcGb50xh33XUXLrnkEtx5552xNCwMpVIJr3/963HxxRfjda97XZNb6ODQOmzcuBGHH344tm/fjle84hU44YQTwgBhPT09AICxsbEwQNjtt9+OFStWYO7cuXj44YddtHyHPQqXXXYZPve5z+Fzn/sc/v7v/x6zZs1KvH9kZARXXHEFPvvZz+Kzn/0sPv3pTzeppQ4OrcNFF12E73znO/jud7+Ld77znVrPXHfddXj/+9+P//t//y++/OUvF9xCB4fWY3JyEq95zWvwwAMPoKurC8ccc0wi/fXAAw9gYmICRx99NO6++250dna2+A2mNxxzPwOwZcsW3H///Vi7di2Gh4cBAAMDA1iyZAmOOeYYLFiwoMUtdHBoDR577DGcddZZePzxx+F5XuK9QRBg6dKluOGGG3DYYYc1qYUODu0BR4w5OKRjeHgYRx11FNatW4e9994bb3jDGxLXyR133IEXXngB++23H/70pz+5fPcOewx2796Nj3zkI/j+978P3/eVNFgQBCiVSvjbv/1bfOMb30B/f3+TWzrz4Jh7BweHGY1arYZrr70W119/PVasWIGhoSHu94ULF+LYY4/F2WefjXe9612oVCotaqmDQ2vhiDEHh3Rs3LgR5557Lm6//XYASFwnAPDGN74RP/7xj501mMMeiWeffRY33HADVqxYIVVCHnvssTjrrLOMgx87qOGYewcHhz0Ku3fv5g6Xvr6+FrfIwaG94IgxB4d0/OEPf8BPf/rTxHVy9tln47WvfW2LW+rg4LAnwTH3Dg4ODg4ODg4ODg4ODg7THM7+1MHBwcHBwcHBwcHBwaEwjI+PY+fOnQCAwcFBdHd3t7hFMxOOuXdwcJjxWL9+Pa6//nqsXLkSa9eu5Q6XJUuWYPny5TjrrLOw7777trilDg7tBUeMOTg4ODjYwPd9XHfddbjuuuuwcuVKbNy4kft90aJFWL58Od7xjnfgnHPOQankMrTnAWeW7+DgMGMxOjqKCy+8EFdffTV834dqu/M8D6VSCeeddx6+9rWvOT98hz0WjhhzcNDDH//4x3CdqITGZ599No477rgWt9TBoflYs2YN3v72t+PPf/6zkvZi8DwPy5Ytw/XXX49DDjmkSS2cuXDMvYODw4zE5OQkXve61+G+++5DV1cXli9fjmXLlmHx4sXo7e0FUGf+N2zYgDVr1mDlypWYmJjA8uXLcdddd7nUXg57HBwx5uCQjk2bNuH//J//g9tuuw0AEoXGAHDCCSfghz/8IRYtWtS0Njo4tBIbNmzAEUccga1bt+KVr3wl3vSmNyXSX7fddhvuvfdezJ8/Hw899JDLLJERjrl3cHCYkbjssstw6aWX4tJLL8UFF1yQml94eHgYl19+OS655BJcfPHF+PSnP92kljo4tB6OGHNwSMfw8DCOOeYYrF27FnvvvTeOP/74xHXyu9/9Di+88AIOPPBArFq1yuW5d9gj8MEPfhA33XQTbrjhBrz61a/Weuaee+7B29/+drz1rW/Ft771rYJbOLPhmHsHB4cZicMPPxznn38+LrzwQqPnvvrVr+Lqq6/G6tWrC2qZg0P7wRFjDg7puOiii/Dtb38b3/nOd3DOOecoc9wzBEGAn/zkJ/jABz6AD3zgA/jyl7/cpJY6OLQO++23H77+9a/jzDPPNHruxhtvxIUXXohnnnmmoJbtGXDMvYODw4xEb28vVq9ejQMOOMDouaeffhqHHXYYRkdHC2qZg0P7wRFjDg7pOOigg/CZz3wGf/u3f2v03DXXXIPLLrsMf/nLXwpqmYND+6C7uxuPP/449ttvP6PnnnnmGSxbtgxjY2MFtWzPgIuE4+DgMCPR39+PDRs2GD+3YcMG9Pf3F9AiB4f2xaZNm3D00UcbP3fMMcdgaGiogBY5OLQfnn/+ebzhDW8wfu6Nb3wjnn/++fwb5ODQhthrr73w4IMPGj+3atUqLFy4sIAW7VlwzL2Dg8OMxHHHHYeLLroIIyMj2s+MjIzgoosuctGNHfY4OGLMwSEdc+bMwZNPPmn83JNPPok5c+YU0CIHh/bDKaecggsuuAArVqzQfubee+/Fhz70IZxyyikFtmzPgDPLd3BwmJFYsWIFXvOa12DBggU477zzwsBHixYtQrlcBgDUajVs3LgRa9aswe23345rrrkGW7Zswd13341jjz22xW/g4NA8fOADH8Avf/lL3HjjjXjFK16h9cy9996Ls846C6effjq+/e1vF9xCB4fW493vfjdWrVqFW265Rdvk+JlnnsEpp5yCo48+Gj/+8Y8LbqGDQ+uxceNGHH744di+fTte8YpX4IQTTgjpr56eHgDA2NgYR3+tWLECc+fOxcMPP+wCtGaEY+4dHBxmLK699lqcf/75mJyc5K5T5p4hCAJ0dnbiyiuvxLvf/e6mttPBodVwxJiDQzqeeOIJHHXUUQCAM844gxMaq9bJz3/+cwDAgw8+iKVLl7as7Q4OzcRjjz2Gs846C48//rhW4MmlS5fihhtuwGGHHdakFs5cOObewcFhRuOpp57CZZddhp/97GfYsWOH9J7BwUG87W1vw6c+9SksWbKkuQ10cGgTOGLMwSEdd9xxB84++2xs3bpVa53MmzcP//3f/403vvGNTWqhg0N7oFar4dprr8X111+PFStWxOKzLFy4EMceeyzOPvtsvOtd70KlUmlRS2cWHHPv4OCwR8D3fTzxxBNYu3YthoeHAQADAwNYsmQJli5dilLJhSBxcHDEmINDOnbu3Il///d/x/XXX4/Vq1fD933ud8/zcNhhh+Hss8/Ghz/8YcyePbs1DXVwaCPs3r2bo7/6+vpa3KKZCcfcOzg4ODg4OEjhiDEHh2SMjo7i6aef5tbJAQccgN7e3ha3zMHBYU+EY+4dHBz2SKxduxZ33303tm3bhtmzZ+OVr3wlli1b1upmOTg4ODg4ODg4OFjB2dM5ODjMSDz88MPo7u6OBTDauXMn3vve9+Kmm26KPfPmN78Z3//+911qLwcHBwcHBweHjFi/fj2uv/56rFy5EmvXrsXOnTsB1GMdLVmyBMuXL8dZZ52Ffffdt8UtnTlwmnsHB4cZiVKphEMOOQSrV68Or01NTeG1r30t7rvvPgD1qPnz58/Hli1bwsj5hx9+OO677z50d3e3pN0ODq2GI8YcHOxw++23cxZhr3rVq3DSSSelBt5zcJhpGB0dxYUXXoirr74avu9DxW56nodSqYTzzjsPX/va15zrVw5wzL2Dg8OMRKlUwrJly/DYY4+F177zne/ggx/8IE4//XRcfPHFeNnLXoZyuYxarYZHHnkEn/vc53DTTTfha1/7Gj7ykY+0sPUODs2HI8YcHJLxi1/8ArNmzYpFvn/mmWfw9re/HatWrYo9c+ihh+KGG25wafAc9hhMTk7ida97He677z50dXVh+fLlWLZsGRYvXhzGohgdHcWGDRuwZs0arFy5EhMTE1i+fDnuuusudHZ2tvgNpjccc+/g4DAjIWPu3/SmN2HOnDn46U9/qnzub/7mb/Dss8/irrvuakYzHRzaAo4Yc3BIh8wibPfu3Tj66KPx5JNPolwuY5999sGiRYuwceNGrF+/HrVaDS9+8Yvxpz/9yUXNd9gjcNlll+HSSy/FpZdeigsuuAADAwOJ9w8PD+Pyyy/HJZdcgosvvhif/vSnm9TSmQnnc+/g4LDHYM2aNfjRj36UeM+HP/xhnHbaaU1qkYNDe+ArX/kKVq1ahcsuu8yYGPvKV77iiDGHPQaiTuxb3/oWnnzySXz4wx/Gpz/9aS5my5YtW3DZZZfhG9/4Bi6//HL88z//c7Ob6+DQdPzkJz/Bl770JVx44YVa9w8MDOBTn/oUurq6cPXVV7vzJCOc5t7BwWFGQqa532uvvXDnnXcmRsV/9tlncdBBB2FycrIZzXRwaAscfvjhOP/887WJMYavfvWruPrqqzlNpoPDTIXsXHnta1+Lww8/HN/61reUz33kIx/BPffcg5UrVzajmQ4OLUVvby9Wr16NAw44wOi5p59+GocddhhGR0cLatmegVKrG+Dg4ODQLLz4xS/G008/nXjPs88+i8HBwSa1yMGhPfDUU0/hjDPOMH7ubW97W+qacnCYyVi7di3OPffcxHvOO+88PPnkk01qkYNDa9Hf348NGzYYP7dhwwb09/cX0KI9C465d3Bw2GPwV3/1V7j88ssT77nyyitxyCGHNKlFDg7tAUeMOTjYY86cOam/j42NNak1Dg6txXHHHYeLLroIIyMj2s+MjIzgoosuwnHHHVdgy/YMOJ97BweHGYtnn30Wxx9/fPh9eHgYq1atwte+9jXO/HhsbAwrV67ED37wA/zoRz/CxRdf3IrmOji0DIwYu+WWWzBr1iytZxwx5uAA7L///vjzn/+cKBReu3Yt5s6d28RWOTi0Dp/4xCfwmte8BgcffDDOO+88HH/88Vi2bBkWLVqEcrkMAKjVati4cSPWrFmD22+/Hddccw22bNmCu+++u8Wtn/5wPvcODg4zEj/4wQ+Uvx166KFYvnx5+P1Xv/oVTj/9dAD1NF+PP/44DjrooMLb6ODQLlixYgVe85rXYMGCBVbE2LHHHtviN3BwKB4yn/tvfOMbuO6663DXXXeFa0XE6aefjvHxcdx6663NaqqDQ0tx7bXX4vzzz4/FL6LnCUMQBOjs7MSVV16Jd7/73U1t50yEY+4dHBz2eIyPj2PTpk0AEKYycnDY0+CIMQeHZJRKJVQqFe6MmJycxAsvvIBLLrkEn/3sZ8Pr27Ztw//8z//ghz/8IX7/+9/jX/7lX/Dxj3+8Fc12cGgJnnrqKVx22WX42c9+hh07dkjvGRwcxNve9jZ86lOfwpIlS5rbwBkKx9w7ODg4ODg4AHDEmINDEu68807lb/vssw+3HqhFWLlcxrPPPovFixcX3kYHh3aD7/t44oknsHbtWgwPDwOop79bsmQJli5dilLJhYDLE465d3BwcHBwcODgiDEHBwcHB4fpB8fcOzg4ODg4ODg4ODg4ODhMczjRu4ODg4ODg4ODg4ODg0NuuOqqq/DmN78Zy5cvx/nnn48HHnhAet8pp5yCcrmMcrmMSsUlcssKp7l3cHBwcHBwcHBwcHBwyAXvfve78ZOf/ASUzfQ8D3//93+Pr371q+js7AyvP/LII9i6dSs+8IEP4Mknn+SCtzqYwzH3Dg4ODg4ODlbYtGkT9t57b0eMOTgkwK0Thz0JN9xwA84++2zMmjULp59+OvbZZx9s2LABt956KzZu3IjjjjsON998M2bNmsU9t3z5cqxatcqtk4xwtg8ODg4ODg4O1nA6AgeHdLh14rCn4Oqrr8bSpUvx+9//nssQUavVcNVVV+HjH/84jj/+eNx2220YHBxsYUtnJhxz7+Dg4ODgsAfj2WeftX52aGgInufl2BoHh/aEWycODnp44IEHcMUVV8RSP5bLZbz//e/H8ccfj5NOOgmnnnoqbr31VvT29raopTMTzizfwcHBwcFhD0apVMrMeDgzSoeZDrdOHBz00NnZiTVr1uDAAw9U3rNhwwaccMIJWLx4MW6++WZ0dXU5s/yc4KLlOzg4ODg47MF4yUtegiAIrP8cHPYEuHXi4KCH/v5+7NixI/GexYsX47bbbsOzzz6LM888E1NTU81p3B4Ax9w7ODg4ODjswbjmmmtQLpdx6623wvd9o78XXnih1c13cGgK3DpxcNDDoYceil/84hep9+2999647bbbsHr1arzzne9EtVptQutmPhxz7+Dg4ODgsAfj1a9+Nf7hH/4B73vf+zA2Nmb0rPMjdthT4NaJg4Me3vzmN+PLX/4yrrjiCuzatSvx3v322w+33XYb7r33Xjz88MNNauHMhvO5d3BwcHBw2MMxPj6OI488Em9605tw+eWXaz+3ZcsWLF++HE8//XSBrXNwaA+4deLgkI7nnnsOS5YsQbVaRaVSwbZt29Df35/4zOrVq/GGN7wB27Ztcz73GeGi5Ts4ODg4OOzh6O7uxs0334zVq1cjCAJtTeP8+fMdw+Kwx8CtEweHdOy777647bbbsH37dgBAT09P6jOHHXYY7rjjDtx2221FN2/Gw2nuHRwcHBwcHBwcHBwcHBymOZzPvYODg4ODg4ODg4ODg4PDNIdj7h0cHBwcHBwcHBwcHBwcpjkcc+/g4ODg4ODg4ODg4ODgMM3hmHsHBwcHB4eC8PnPfx6e54V/3//+91vSjvHxca4d+++/fy7lXnLJJW3xfjMR73nPe7i+veOOO1rdJAcHBweHNodj7h0cHBwc9khs27YNl1xyCZYvX47BwUF0dnZi8eLFOProo3HuuefiO9/5DtasWZOpjgsvvBAbNmzAO97xjpxabYfu7m5s2LAB9913X67l/uM//mPq+1122WWYO3cufve73+Va90zHN77xDWzYsAGvetWrWt0UBwcHB4dpApcKz8HBwcFhj8Njjz2GE044Abt378Y//uM/4pRTTsGiRYuwa9curFy5El/84hfx4x//GIcddhgeffRR63r6+vrQ19enlQqoaCxatAjj4+O5ltnf34/+/v7E97v22muxfft23HjjjTj++ONzrX8mY3BwMBQ6OTg4ODg46MAx9w4ODg4Oexze9773YePGjfiv//ovvPOd7+R+O+SQQ3DSSSfhqKOOalHrZhY+/vGP49vf/jbOO++8VjfFwcHBwcFhRsOZ5Ts4ODg47FHYuXMn7rnnHgDAKaecIr1n0aJFMabfwQ7vec97cO+99+KYY45pdVMcHBwcHBxmNBxz7+Dg4OCwR8H3/fDz888/r7zvM5/5DG644Qbpb6Ojo/jCF76AI488MjS7X7ZsGc477zzcfPPNXB0i/vCHP+CNb3wjZs2ahYGBAbzlLW/B448/rrx/3bp1eP/734/99tsPnZ2dWLBgAU499VT85je/UT7z0EMP4a1vfSvmzJmDvr4+vPzlL8cPfvAD5f3z589XBtsTA7utW7dOWQ7FHXfcwT33nve8h+sD8bf169fjr//6rzF//nz09PTg5S9/OW6++ebEfnn3u9+NhQsXoru7G0uXLsVnPvMZjI6O/v/t3XtQVOX/B/D3giwsTrsBUegybWAl6mBJm5pN4uQlTRNTbFAnASlLyKkcG8pm0j/KFB0vNeJlwvUC5oiGqZOZF8YAHRCRKW/owAJewCBB2Vhlh/18/3D2/Fx2UaDU3+r7NeOMPJ/nes755wPPeU6XDw/Mzs5GdHQ0QkJCoFarERYWhvj4eOzZswc2m82l/oULF5CSkoLw8HD4+vpCq9XipZdewty5c1FaWupUt76+Hunp6Rg1ahQMBgN8fX3x5JNPIiYmBvn5+R2eY1t//vknpk6dih49eijnRkyePPk/P1+BiIg8gBARET1ievbsKQAkOjpaamtrO9X2ypUr0r9/f/Hx8ZGFCxdKWVmZnDp1Sr777jvRarUCQHbu3OnUJj4+XgBIYmKivPHGG1JYWChlZWWSlpYm3t7eotfrpampyWWsvLw80el0EhwcLJmZmXLu3DnZv3+/DB48WADIokWLXNrk5uaKRqORgIAAMZlMYjab5dixYzJ58mRJSkoSAGIwGFzWVFRU5DbW2NgoNTU1EhoaKgDEbDa7jOlYn8lkUspu3rwpNTU1smLFCgEg8fHxSqylpcUpNnbsWHn11Vdlz549UlFRIdnZ2RIYGCje3t5y7Ngxl/FOnTolQUFB4uvrK8uXL5fy8nL5448/JDk5WYYNGyYABIDU1NTIX3/95XoT3fjiiy8EgMyZM0dKS0uloqJCdu/eLf379xcAkpub61T/yJEjEhAQICEhIZKVlSVms1mKi4vlk08+UcZvbGxU6n/77bcCQJKTk+X48eNiNpvl0KFDMm7cOPHy8pItW7a4nVd0dLTb8UVEtm/fLmq1WsLDw2Xnzp1y/vx52bVrl/Tu3Vu8vb0lMzOzQ2snIqKHA5N7IiJ65KxZs0ZJwDQajUybNk127Ngh169fv2vbMWPGCABJS0tziW3ZskUASE5OjlO5I/kNCAgQi8XiFJs4caIAkM2bNzuVNzQ0yFNPPSUA5OjRo04xq9UqPXr0EC8vLykqKlLKm5ubRa/XCwD5+eefndq0trbKgAED3CbwIiJms7ndmIiIwWDoVHLvYDKZXJL7tjEAUlBQ4BRbuXKlAJCkpCSXdlFRUQJAVq5c6RKLiYlR+uwoq9Uqfn5+0q9fP5fYhQsXRKVSOSXXjY2N0qNHD1GpVFJYWOjSZubMmQJAGhoalLL09HSZMmWKS12bzSYRERHyxBNPiNVqdYm3l9yXl5eLv7+/qNVqqaqqcorV1NSIRqMRf39/qa6uvsvqiYjoYcFt+URE9Mj54IMPsGrVKgQGBsJqtSIrKwuTJk1CUFAQXn/9daSnp+P69esu7UpKSrB37174+Pjgww8/dInHxsaiZ8+e8PHxcTvuO++8g+7duzuVDRo0CABctnFnZGTgypUreOWVVzB48GCnmJ+fHxISEmC325Genq6Ub9++HZcuXYJer8f48eOd2nh5eSElJaX9i/IA9e7dG0OGDHEqa++65OXloaSkBGq1GklJSS59zZ49u9PjNzU14caNG/j777/R3NzsFAsNDcUPP/yA5557TinLyMhATU0NBg0ahIEDB7r0l5SUBJ1OB5VKpZTNmjULW7ZscanbrVs3GI1G1NfXo7CwsMNzXr58OZqbmzFp0iQ8/fTTTrGQkBBMmDABzc3NWL9+fYf7JCIiz8bknoiIHknJycm4cOECMjMzERsbi8cffxw2mw25ublISUlBr169sHv3bqc2v/32GwAgIiICjz32mEufPj4+uHTpEsaOHet2zGeffdalLDAwEADQ0NDgdiyj0ei2r/DwcABAQUGBUnb48GEAaPfwuj59+rgtf9A6c10ca4yIiHD5RQnQtTUGBwcjMjIStbW1MBqNMJlMuHbtmhKfMWMG9Hq98rPj3rz88stu+xs4cCAaGxuh0+mcyg8dOoTY2FiEhYVBp9MpnxLcunUrgDufAdFWV54PIiJ6uDG5JyKiR5a/vz+mTZuG7Oxs1NfX4/Dhw5g1axb8/f1RX1+PuLg4VFVVKfUd/w8ODu7SeEFBQS5l3brd+ipta2urU3l1dTUAYO3atUoSePs/x1+ob08IL168eMf5hYSEdGne95q76+LY/dD2utyrNebk5GDIkCE4c+YMZsyYgeDgYIwYMQKbN2/GzZs3nep25TlYunQphg8fjsLCQnz11Vf4/fffUVpaitLSUmWXRUtLS4f7czwf8+bNc/t8LFmyBEDnfmFARESejd+5JyIiAuDt7Y2hQ4di6NChmDt3LoxGIxoaGvDjjz/i888//0/GuH2bdkelpKQgOTm5U32KSKfHuZt70adDV67Lfz2fXr16oaCgAMXFxcjKysL27dtx8OBBHDx4EGlpadi7dy9CQ0O71HdNTQ3mzZsH4NaJ/G1fs3C3C6SjvvnmG8TExLQbb+8VESIievgwuSciokfOwoULMXz4cOW97rbCw8MRFxeH1atXO336zWAwAADq6uru+RwNBgPOnj0LEXG7bd0dR/LZ3vxqa2vbbevt7Q3A9S/lDvX19R2aw732b9bYEUajEUajEcuWLcP+/fsxe/ZsnDx5EqmpqcjKygLwf/emo8/BkSNHYLPZoNVqXRL7rjIYDCgrK0O3bt06/HwQEdHDjdvyiYjokbNu3bo7fkMduHVoHeC89XrUqFEAgLNnz6KpqcmljdVqxejRo7Fu3bp/PUfHWO19r1xEMHLkSMydO1cpi46OBgAcP37cbZszZ860O57j/fC277gDt/7y3PaguQfFscaysjJYLBaX+J3W2J76+nokJCTgxo0bSplKpcKoUaOQkZEBADhx4oQSu9u9OXbsGEaMGKEckGe32wG0v9ugK1vn7zYHi8WCgQMHYtmyZZ3um4iIPBOTeyIieiRt2rTJ6dC021ksFuTk5EClUuHtt99WyqOiojBmzBjYbDasWbPGpd2GDRuwb98+DBgw4F/PLykpCSEhITh69CiOHDniEs/KysKBAwcwbNgwpSw2NhZ6vR6XL1/Grl27nOrb7XasWrWq3fG0Wi3CwsLwzz//4OzZs06x/08nrr/22muIiopCS0uL23l9//33ne7TYrFg48aNyMvLc4nZbDYAcDqR3nFvioqK3CbXS5cuxYkTJ/Diiy8CuLUbQKVSoampCfn5+U51L1265Pb+3s2nn36K7t27IycnB2az2SW+YsUKFBcXY+TIkZ3um4iIPBOTeyIieuSoVCpUVlZi8ODBMJlMOH36NC5evIiSkhKsW7cORqMRlZWVWLBgAaKiopzabtiwAZGRkfjyyy+xePFinD9/HqdPn8aSJUswZ84cpKamKqeoW61W1NbWwmq1AgCuXbuG2tpatLa2orW1FbW1tcovGNrW1el0+Omnn6DT6RATE4OMjAxUVFTg5MmTWLhwId5//33Mnj0b48aNU+am0WiQmZkJjUaDhIQEbNy4EVVVVTh+/Dji4uKg1WoBQBn76tWrTmtzvNufkJCAgoICVFZWYvXq1SgpKVGS27q6OmXru8Vicbs+q9WKlpYWt+uzWCx3XXtdXZ2y5b1tXQDYvHkzgoKCkJqaipUrVyrX5aOPPlJO2e+KhIQEmEwmnDlzBuXl5dixYwdmzpwJjUaDBQsWKPVuvzcTJkzA1q1bUVVVheLiYrz33nvYsWMHNm3aBF9fXwBAWFiY8unEKVOmYNu2bSgvL8e+ffswevRo5VWI258Px/8dh+xdvXrV6eewsDBkZmbCbrdj+PDh2LZtG6qqqnDixAl89tlnmD9/PpYuXYrIyMguXw8iIvIwbT98T0RE9LC7fPmyrFmzRqZMmSL9+vUTrVYrXl5e4u/vL88//7xMnz5d8vPz221vsVjk66+/lsjISNFoNBIYGChDhgyRrVu3it1uV+qZTCYB4PLPbDaL2Wx2GzOZTE5jVVdXS3JysjzzzDOiVqslJCREhg0bJtnZ2U5j3a60tFTeeust0el04ufnJ3379pVFixbJuXPnnMYaNGiQUzu73S6LFy+W8PBw8fHxkdDQUElNTZUbN26IwWBwamuz2WT+/PntriE3N9dtbP78+Xdde9uxAEh8fLzTXCsqKmTq1KkSFBQkvr6+EhERIWlpaWKz2QSAqFSqDj8PdrtdDh8+LMnJydKnTx/RaDTKszBz5kw5f/6823bV1dUya9Ys5d7o9XoZP368FBUVudRtbW2V5cuXS9++fUWtVkv37t3FaDTK2rVrZfr06S7PR3x8vNtrlJub69TvqVOnZPr06aLX60WtVktoaKi8+eabcuDAgQ6vn4iIHg4qkXt4/C0RERHRfdTU1AStVouAgACXnQlEREQPM27LJyIiIo+Sn5+PX3/91W3s9OnTAIAXXnjhfk6JiIjogWNyT0RERB7lwIED+Pjjj5XD7m7n+FJBYmLi/Z4WERHRA8XknoiIiDzOuXPnMHHiROTl5aG6uholJSVISUnB+vXrERcXh3ffffdBT5GIiOi+4jv3RERE5FGqq6uRmZmJX375BZWVlairq4Ofnx/69++PxMREJCYmQqVSPehpEhER3VdM7omIiIiIiIg8HLflExEREREREXk4JvdEREREREREHo7JPREREREREZGHY3JPRERERERE5OGY3BMRERERERF5OCb3RERERERERB6OyT0RERERERGRh2NyT0REREREROThmNwTERERERERebj/AcUTrqNH/PPQAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results= results_reduced, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_reduced, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_reduced, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_reduced, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_reduced, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_reduced, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_reduced, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_reduced, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (8,6))\n", - "plot_results.transport(results= results_reduced, source= 'SD', sink = 'NY', resource= 'Power', transport = 'Grid')\n", - "plot_results.transport(results= results_reduced, source= 'HO', sink = 'NY', resource= 'Power', transport = 'Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.5220306513409961" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x = list(scenario_reduced.capacity_factor['HO']['PV'].values())\n", - "x.count(0)/len(x)\n", - " " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/aggregation/dtw.ipynb b/examples/aggregation/dtw.ipynb deleted file mode 100644 index 55b0232b..00000000 --- a/examples/aggregation/dtw.ipynb +++ /dev/null @@ -1,618 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dynamic Time Warping (DTW)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "In the following example, we use deterministic data sets with different temporal resolutions as parameters for a mixed integer linear programming formulation (MILP) for integrated network design and scheduling of an energy system.\n", - "\n", - "Agglomerative hierarchial clustering is used to cluster the time series data at different resolutions (hourly, daily) separately. The optimal set of representative days are different as expected. \n", - "\n", - "Cluster 1, has hourly data such as mileage target (demand factors), intermittent renewable resource availabilty (capacity factors)\n", - "\n", - "Dynamic time warping (DTW) is then used to reconcile the data and create a surrogate temporal horizon which is a combination of both optimal set of clusters. The model is then solved over the surrogate temporal horizon and results are compared to the full scale formulation. \n", - "\n", - "The entire example is implemented on the energiapy python package, which uses the resource task network (RTN)approach. The figure below describes the problem in consideration.\n", - "\n", - "energiapy's capabilities, as demonstrated in this example, include:\n", - "\n", - "- Component based declaration of resources, materials, processes, locations, networks, transportation modes, and scenarios with all the requisite information conviniently embedded. \n", - "- Multiscale models can be formulated to capture dynamics at disparate temporal resolutions. \n", - "- Tools for data analysis and collection (through NSRDB API)\n", - "- Modules to reduce the scenarios using different clustering methodologies\n", - "- Plotting of data and results\n", - "- Post analysis of results, model summaries, computational time studies\n", - "- The ability to test out a large set of scenarios seamlessly \n", - "- Problems are formulated bespoke and can be passed on to solver of choice \n", - "- Variety of functions for mathematical analysis. (scaling, distance calculation, matrix generation)\n", - "\n", - "capabilities not demonstrated in this example include:\n", - "- piecewise linear estimation of data\n", - "- graph reformulation\n", - "- post-reformulation of problem to assuage the impact of uncertainty by accessing the integer results\n", - "\n", - "modules currently in development include:\n", - "- life cycle analysis \n", - "- resiliency analysis\n", - "- carbon accounting\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "from pyearth import Earth\n", - "import pyomo.environ as pyo\n", - "import seaborn as sns\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "idx = [(i,j,k) for i,j,k in product(range(1), range(365), range(24))]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "def mars_elbow(wcss:list, range_list:list):\n", - " X = [numpy.array([i]) for i in range(len(wcss))]\n", - " mars = Earth()\n", - " mars.fit(X, wcss)\n", - " y_hat = mars.predict(X)\n", - " y_line = y_hat ## for plotting\n", - " #determine the elbow point\n", - " m = numpy.diff(y_line)/numpy.diff(range(len(wcss)))\n", - " m = [numpy.round(i, 2) for i in m]\n", - " m_un = list(set(m))\n", - " elbow = max([m.index(i) + range_list[0] for i in sorted(m_un)])\n", - " \n", - " fig, ax = plt.subplots(figsize=(8, 6))\n", - " x = range_list\n", - "\n", - " ax.plot(x, y_line, label = 'MARS fit', color = 'steelblue', alpha = 0.6)\n", - "\n", - " ax.scatter(x, wcss, color = 'indianred')\n", - " plt.axvline(x = elbow, alpha = 0.6, linestyle = 'dotted', label = f\"elbow at {elbow}\", color = 'slategrey', zorder = 3) \n", - "\n", - " plt.title(f'Clustering using AHC for Houston for cost and demand')\n", - " plt.xlabel('Cluster Size')\n", - " plt.ylabel('WCSS')\n", - " plt.grid(alpha=0.3)\n", - " plt.legend()\n", - " \n", - " return elbow \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str, index:list):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " # df = df[['DNI', 'Wind Speed']]\n", - " # df = df.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - " df['idx'] = index\n", - " df = df.set_index('idx')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "weather_ny = load_data('ny', idx)[['DNI', 'Wind Speed']]\n", - "weather_ny = weather_ny.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - "weather_sd = load_data('sd', idx)[['dni', 'wind_speed']]\n", - "weather_ho = load_data('ho', idx)[['dni', 'wind_speed']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "demand_sd = pandas.read_excel('../data/HistoricalEMSHourlyLoad-2019.xlsx', index_col= 0)[['SDGE']]\n", - "demand_ho = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_ny = pandas.DataFrame(pandas.read_csv('../data/NYC_load.csv')['Load']) #from Will and Doga\n", - "# Fix Index\n", - "demand_sd = demand_sd.set_index(weather_ho.index)\n", - "demand_ho = demand_ho.set_index(weather_ho.index)\n", - "demand_ny = demand_ny.set_index(weather_ho.index)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Natural gas prices from Henry Hub Price Index** \n", - "\n", - "We use the special function energiapy.make_henry_price_df because of special requirements such as filling in empty data points (weekends, public holidays). Such function will be generalized in the next update of energipy" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2019, stretch=True)\n", - "# ng_price = ng_price.set_index(weather_sd.index[::24])\n", - "ng_price = ng_price.drop(columns= 'scales')\n", - "ng_price = remove_outliers(ng_price, sd_cuttoff = 3)\n", - "ng_price = ng_price.set_index(weather_ho.index)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= 100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated', varying = [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "H2 = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource')\n", - "\n", - "H2_L = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource', store_max = 10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='kg', label='Carbon dioxide - sequestered', store_max = 10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=10**10,\n", - " price= 0.001, basis='kg', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=10**10, price=1, basis='kg', label='Natural gas', varying= [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='kg', label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='kg', label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='kg', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='kg', label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, prod_max=100, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=100, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=100, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520, fopex = 945, vopex = 0.0515,\\\n", - " prod_max= 10000, label='Steam methane reforming + CCUS')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=10000, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-50, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = 100, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, prod_max=10000, label='Direct air capture')\n", - "\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -4.17*10**(-4), H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= 10000, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= 10000, label='Hydrogen geological storage discharge')\n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -0.00128, CO2_AQoff: 1, CO2: -1}, capex = 0.00552, vopex = 0.00414, fopex = 0, prod_max= 10000, label='Offshore aquifer CO2 sequestration (SMR)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ho[['dni']], WF: weather_ho[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ho}, price_factor = {CH4: ng_price}, scales=scales, label='Houston', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "sandiego = Location(name='SD', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_sd[['dni']], WF: weather_sd[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_sd}, price_factor = {CH4: ng_price}, scales=scales, label='SanDiego', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "newyork = Location(name='NY', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ny[['dni']], WF: weather_ny[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ny}, price_factor = {CH4: ng_price}, scales=scales, label='NewYork', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "Train_H2 = Transport(name= 'Train_H2', resources= {H2}, trans_max= 10000, trans_loss= 0.03, trans_cost= 1.667*10**(-3)\\\n", - " , label= 'Railway for hydrogen transportation')\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= 300, trans_loss= 0.001, trans_cost= 0.5*10**(-3), label= 'Railroad transport')\n", - "\n", - "distance_matrix = [\n", - " [0, 2366, 2620],\n", - " [2366, 0, 4440],\n", - " [2620, 4440, 0]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[], [Grid, Train_H2], [Grid, Train_H2]],\n", - " [[Grid, Train_H2], [], [Grid, Train_H2]],\n", - " [[Grid, Train_H2], [Grid, Train_H2], []] \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [houston, sandiego, newyork], sink_locations= [houston, sandiego, newyork], distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= network, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'full_case')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Generate Indivual Scenarios and Determine WCSS**" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "range_list = list(range(30,150))" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "scenario_ho = Scenario(name= 'scenario_ho', network= houston, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'max_demand_ho')\n", - "\n", - "# wcss_ho = agg_hierarchial_elbow(scenario= scenario_ho, scale_level=1, include= [IncludeAHC.capacity, IncludeAHC.cost, IncludeAHC.demand], range_list = range_list)\n", - "\n", - "# elbow_ho = mars_elbow(wcss_ho, range_list)\n", - "# elbow_ho = 117\n", - "elbow_ho = 30\n", - "\n", - "scenario_ho_red, repdays_ho, info_ho = reduce_scenario(scenario=scenario_ho, periods=elbow_ho, scale_level=1, method=Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.PRICE, IncludeAHC.DEMAND])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario_sd = Scenario(name= 'scenario_sd', network= sandiego, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'max_demand_sd')\n", - "\n", - "# wcss_sd = agg_hierarchial_elbow(scenario= scenario_sd, scale_level=1, include= [IncludeAHC.capacity, IncludeAHC.cost, IncludeAHC.demand], range_list = range_list)\n", - "#\n", - "# elbow_sd = mars_elbow(wcss_sd, range_list)\n", - "# elbow_sd = 117\n", - "elbow_sd = 40\n", - "\n", - "scenario_sd_red, repdays_sd, info_sd = reduce_scenario(scenario=scenario_sd, periods=elbow_sd, scale_level=1, method=Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.PRICE, IncludeAHC.DEMAND])\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario_ny = Scenario(name= 'scenario_ny', network= newyork, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'max_demand_ny')\n", - "\n", - "# wcss_ny = agg_hierarchial_elbow(scenario= scenario_ny, scale_level=1, include= [IncludeAHC.capacity, IncludeAHC.cost, IncludeAHC.demand], range_list = range_list)\n", - "\n", - "# elbow_ny = mars_elbow(wcss_ny, range_list)\n", - "# elbow_ny = 102\n", - "elbow_ny = 50\n", - "\n", - "\n", - "scenario_ny_red, repdays_ny, info_ny = reduce_scenario(scenario=scenario_ny, periods=elbow_ny, scale_level=1, method=Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.PRICE, IncludeAHC.DEMAND])\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Time series for location-wise demand, capacity, and cost factors**" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "ho_pv = list(scenario_ho_red.capacity_factor['HO']['PV'].values())\n", - "ho_wf = list(scenario_ho_red.capacity_factor['HO']['WF'].values())\n", - "ho_dem = list(scenario_ho_red.demand_factor['HO']['Power'].values())\n", - "ho_ng = list(scenario_ho_red.price_factor['HO']['CH4'].values())\n", - "\n", - "sd_pv = list(scenario_sd_red.capacity_factor['SD']['PV'].values())\n", - "sd_wf = list(scenario_sd_red.capacity_factor['SD']['WF'].values())\n", - "sd_dem = list(scenario_sd_red.demand_factor['SD']['Power'].values())\n", - "sd_ng = list(scenario_sd_red.price_factor['SD']['CH4'].values())\n", - "\n", - "ny_pv = list(scenario_ny_red.capacity_factor['NY']['PV'].values())\n", - "ny_wf = list(scenario_ny_red.capacity_factor['NY']['WF'].values())\n", - "ny_dem = list(scenario_ny_red.demand_factor['NY']['Power'].values())\n", - "ny_ng = list(scenario_ny_red.price_factor['NY']['CH4'].values())\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "matrix = dynamic_warping_matrix(ny_ng, ho_ng)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "path = dynamic_warping_path(matrix)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_668\\3283229576.py:14: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.\n", - " fig.show()\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "def dtwmap(matrix: numpy.ndarray, path: list, font_size: int = 16, usetex: bool = False):\n", - " \n", - " #get x and y co-ordinates\n", - " x = [i[0] for i in path] \n", - " y = [i[1] for i in path]\n", - " rc('font', **{'family': 'serif', 'serif': ['Computer Modern'], 'size': font_size})\n", - " rc('text', usetex=usetex)\n", - " fig, ax = plt.subplots(figsize=(6, 6))\n", - "\n", - " \n", - " ax.plot(y,x, color = 'red')\n", - " plt.imshow(matrix, cmap='viridis', origin = 'lower', interpolation = 'nearest') \n", - " # plt.colorbar()\n", - " fig.show()\n", - " plt.rcdefaults()\n", - "\n", - "dtwmap(matrix, path)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/chance/chance.ipynb b/examples/chance/chance.ipynb deleted file mode 100644 index 0de2c3ad..00000000 --- a/examples/chance/chance.ipynb +++ /dev/null @@ -1,996 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chance constraints" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import modules" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.utils.math_utils import min_max\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario, plot_fit\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.fitting.dist import fit\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "import pyomo.environ as pyo\n", - "import scipy\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str, index:list):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " df['idx'] = index\n", - " df = df.set_index('idx')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "idx = [(i,j,k) for i,j,k in product(range(1), range(365), range(24))]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "weather_df = load_data('ho', idx)[['dni', 'wind_speed']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "demand_df = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_array = demand_df.set_index(weather_df.index).to_numpy()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "demand_hour = demand_array.reshape((365, 24)).T\n", - "demand_hour_mean = numpy.mean(demand_hour, axis = 1)\n", - "plt.plot(demand_hour_mean)\n", - "plt.show()\n", - "demand_day = demand_array.reshape((365, 24))\n", - "demand_day_mean = numpy.mean(demand_day, axis = 1)\n", - "plt.plot(demand_day_mean)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[distfit] >INFO> fit\n", - "[distfit] >INFO> transform\n", - "[distfit] >INFO> [norm ] [0.00 sec] [RSS: 2.38642] [loc=0.328 scale=0.154]\n", - "[distfit] >INFO> [expon ] [0.00 sec] [RSS: 44.5001] [loc=0.000 scale=0.328]\n", - "[distfit] >INFO> [pareto ] [0.00 sec] [RSS: 44.5001] [loc=-33554432.000 scale=33554432.000]\n", - "[distfit] >INFO> [dweibull ] [0.08 sec] [RSS: 3.97359] [loc=0.317 scale=0.132]\n", - "[distfit] >INFO> [t ] [0.46 sec] [RSS: 2.32225] [loc=0.326 scale=0.149]\n", - "[distfit] >INFO> [genextreme] [0.21 sec] [RSS: 0.400029] [loc=0.263 scale=0.134]\n", - "[distfit] >INFO> [gamma ] [0.06 sec] [RSS: 0.318762] [loc=-0.119 scale=0.054]\n", - "[distfit] >INFO> [lognorm ] [0.08 sec] [RSS: 0.411132] [loc=-0.333 scale=0.644]\n", - "[distfit] >INFO> [beta ] [0.11 sec] [RSS: 0.241092] [loc=-0.041 scale=1.692]\n", - "[distfit] >INFO> [uniform ] [0.00 sec] [RSS: 42.8772] [loc=0.000 scale=1.000]\n", - "[distfit] >INFO> [loggamma ] [0.10 sec] [RSS: 2.47654] [loc=-53.424 scale=7.053]\n", - "[distfit] >INFO> Compute confidence intervals [parametric]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The best fitting distribution is {'name': 'beta', 'score': 0.24109212033078006, 'loc': -0.04095715095087994, 'scale': 1.6924671576670782, 'arg': (4.281605115329253, 15.338293111737595), 'params': (4.281605115329253, 15.338293111737595, -0.04095715095087994, 1.6924671576670782), 'model': , 'bootstrap_score': 0, 'bootstrap_pass': None, 'color': '#e41a1c', 'CII_min_alpha': 0.1054866496619835, 'CII_max_alpha': 0.6076413105785721}\n" - ] - } - ], - "source": [ - "wind_ho_array = weather_df[['wind_speed']].to_numpy()\n", - "data = wind_ho_array\n", - "data = min_max(data)\n", - "\n", - "fit_summary = fit(data)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'plot_fit' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m plot_fit\u001b[39m.\u001b[39mhistogram(data \u001b[39m=\u001b[39m demand_df)\n", - "\u001b[1;31mNameError\u001b[0m: name 'plot_fit' is not defined" - ] - } - ], - "source": [ - "plot_fit.histogram(data = demand_df)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_fit.distribution(fit_summary= fit_summary, fit_type= 'norm')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated', varying = [VaryingResource.DETERMINISTIC_DEMAND])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=bigM, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=bigM, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {LiI, WF, PV}, capacity_factor = {PV: weather_df[['dni']], WF: weather_df[['wind_speed']]},\n", - " demand_factor= {Power: demand_df}, scales=scales, label='Houston', demand_scale_level=2, capacity_scale_level= 2)\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= houston, scales= scales, expenditure_scale_level= 0, scheduling_scale_level= 2, \n", - " network_scale_level= 0, demand_scale_level= 2, label= 'full_case', demand = {houston: {Power: 160}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'orange')\n", - "plot_scenario.capacity_factor(scenario = scenario, location= houston, process= WF, fig_size= (9,5), color= 'blue')\n", - "plot_scenario.demand_factor(scenario = scenario, location= houston, resource= Power, fig_size= (9,5), color= 'red')\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for demand**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "milp_cost = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, \n", - " objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "\n", - "milp_demand = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, \n", - " objective=Objective.MAX_DISCHARGE, objective_resource = Power)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 157737 rows, 131455 columns and 389902 nonzeros\n", - "Model fingerprint: 0xcc634196\n", - "Variable types: 131450 continuous, 5 integer (5 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [6e+01, 1e+06]\n", - "Presolve removed 118337 rows and 92053 columns\n", - "Presolve time: 0.21s\n", - "Presolved: 39400 rows, 39402 columns, 109439 nonzeros\n", - "Variable types: 39402 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 39221 4.9618596e+09 0.000000e+00 7.332240e+05 5s\n", - " 40750 4.9609238e+09 0.000000e+00 0.000000e+00 6s\n", - "Concurrent spin time: 1.53s\n", - "\n", - "Solved with primal simplex\n", - "\n", - "Root relaxation: objective 4.960924e+09, 40750 iterations, 7.60 seconds (20.31 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 4.960924e+09 4.9609e+09 0.00% - 7s\n", - "\n", - "Explored 1 nodes (40750 simplex iterations) in 12.46 seconds (20.65 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 4.96092e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 4.960923808656e+09, best bound 4.960923808656e+09, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario = scenario, instance= milp_cost, solver= 'gurobi', name= 'results_cost', print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 157738 rows, 131455 columns and 389909 nonzeros\n", - "Model fingerprint: 0x73f13145\n", - "Variable types: 131450 continuous, 5 integer (5 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [6e+01, 1e+06]\n", - "Presolve removed 157738 rows and 131455 columns\n", - "Presolve time: 0.13s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.17 seconds (0.17 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 4.61679e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (1.3351e-05) exceeds tolerance\n", - "Best objective 4.616785156632e+09, best bound 4.616785156632e+09, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_demand = solve(scenario = scenario, instance= milp_demand, solver= 'gurobi', name= 'results_cost', print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Load results**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'P', component= 'WF', location = 'HO', fig_size= (9,5), color = 'steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABBQAAAI6CAYAAACXaRvgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADVnklEQVR4nOzdd1wT5x8H8E9YYSkogogLnChuqlXRat2zDrRqWxd1tVpnJ9ZZrW1dVevGVawbd9W666bOOnAirgquCigjjDy/P/JLSkwCCQQuwOf9evlS7+65+16S53L53jNkQggBIiIiIiIiIiITWEkdABERERERERHlP0woEBEREREREZHJmFAgIiIiIiIiIpMxoUBEREREREREJmNCgYiIiIiIiIhMxoQCEREREREREZmMCQUiIiIiIiIiMhkTCkRERERERERkMiYUiIiIiCjX3b9/X+oQCoUXL14gISFB6jCIqJBgQoEolyUnJyMkJAQdOnRA6dKlYW9vD3t7e3h5eaFp06YYPnw41qxZg4cPH5r1uAMGDIBMJtP6Y2kOHjyoE+Pq1avNfhxLfC02b96Md999F8WKFYNcLkfZsmXRrl07LF++XOrQ9PL29tZ5Dd/8Y2trCy8vL3Tt2hW7du2SOmSifC0kJESnjh09elRrm3v37mVaJydPnmz08VJSUtC2bVu4ublh9+7dOuubN29u8Dje3t6Z7js1NRWjR49Gy5YtjY6H9CtTpozWa9+8eXOdba5evYoqVarofR+zIzw8HF5eXqhfvz5iY2PNsk9TrV69OtPP+pt1A8jZZ5aIjCcTQgipgyAqqG7fvo3OnTvj5s2bKFOmDHr37g1vb2/I5XL8888/2L9/P06dOqXZPjQ0FB999JFZjn369GlERkbi+PHjWLZsGQDA0qp7TEwMDh48CADo27cvAGDVqlUYMGCAWY9jaa/FtGnTMGHCBBQpUgQjRoxAhQoVcP36dSxcuBCenp64d++eZLEZsn37drx+/VrrNQwODka1atUAqF7Pp0+fYseOHTh+/DgAoGfPnli7di3s7Owki5soO+7du6dJbo4ePRqurq55HkNkZCROnz6N58+fY8yYMQCAI0eOaP2ATEhIwLZt2wAAy5Yt09S90NBQAECtWrVQq1Yto4537tw51K9fHwDQqVMnnaTggQMH8OTJE1y/fh3ff/89AGDIkCFo2rQpnJ2d0bVrV737TUhIQMeOHfHXX39h48aN6Ny5s3EvQBa2b9+OS5cuwdvb2+zfGZZs27ZtSEhI0LzfzZo10/kxnZqaisGDByM0NBQ///wzPvvssxwdc8SIEVi4cCEAYMuWLQgMDMzR/rLj7t27mvulMWPG4Pnz5/D19cX48eMBAK1bt0bJkiW1ymT3M5sfrV69Gvfu3UOdOnUK1HlRPiGIKFckJCQIb29vAUAMHjxYKBQKvdutWbNGWFlZCQBi+fLlZo9j1apVAoCw9OqujnHVqlW5dgxLeC2ePXsm7OzsBACxY8cOrXVff/21KF++vDSBGSnja3jkyBG92wQHB2u2+fTTT/M2QCIzOHLkiOYzHBUVJWksUVFRWdY5IYTo379/jq5vCoVCtGrVSri6uopt27YZ3C7ja5PV9VqpVIouXboIAGLdunXZissQ9fk2a9bMrPvNL7I6//T0dNGuXTshk8lEWFhYjo516tQp4enpKerWrStevHiRo32ZQ/ny5U167035zOZXzZo1EwBE//79pQ6FCiF2eSDKJWvWrMG9e/dQtGhRzJs3z+BT2n79+mmezlPBd+bMGaSkpACATlPVr7/+GocOHZIgKvOaOnUqKlWqBABYunQpIiMjJY6IiLJiZ2eHAwcO4OXLl2Z7wrlq1Srs2LEDnTp1Qp8+fcyyTzKOlZUVli5dCnt7ewwePBgvXrzI9r4aNWqE6OhoXLhwAcWLFzdjlERUEDChQJRL/vzzTwBA9erV4eDgkOm2H3zwQV6ERBbg33//1fy7aNGiWutcXFxQsWLFvA7J7KytrdGlSxcAQHp6utn68RJR/qFQKBAcHAwA+OqrrySOpnAqV64c+vTpg3///RfTpk2TOhwiKqCYUCDKJeqnAc+ePcty27fffhszZ87E22+/ndthkcSUSqXUIeSJjIkRtlAgKnw2b96MJ0+eoGzZsmjSpInU4RRa6gcWq1evRmJiosTREFFBxIQCUS4pVqwYANVAQn/99Vem27q4uODzzz9HzZo1DW4jhMC6devQrl07lCxZEra2tihevDgaNWqEr776CmfPnjUqrgsXLqB79+7w8PCAvb09/Pz8MGvWLKN+6B45cgQ9e/aEl5cX7OzsUKJECTRr1gwLFiyAQqHItOzTp0/x2WefwdvbG/b29ihdujT69OmDv//+O9NyDRs2zHRE65iYGLPPFBEfH4+pU6eibt26KFq0KBwdHVGpUiV8/PHHWcZriHqmiYEDB2qWZTXidGpqKhYuXIhmzZqhRIkSmtkgPvjgA5w8eTLT47w5o0VERAT69euHsmXLwsbGRrMutwaAtLa21jqPN+3evRvdunVDqVKlIJfL4eHhgbZt2+K3337TO2CmsSN7T58+HTKZDFOnTjVqH29SKpVYuXIlWrRooXnN1TNX7NixQ++5vjkDhvozumfPHrRt2xYeHh6wsrLK9sjiGeuOXC5HyZIl0blzZ033mDfPyVBz9a1bt6Jjx44oWbIk7OzsULJkSbRr1w6//vor0tPTdbZ/c4R0deyHDx9GmzZtULx4cTg6OsLf3x+rVq0y6lzMFcPp06fRvXt3eHl5wdraWuf9VLeM+fjjj1G9enU4OTnB3t4e3t7e+PDDDw1ek9Ujyb/77ruaZT4+PloxGBoA0NRzyygyMhIDBgzQzARUrlw5DB48GFFRUVm8ouZh6DOcExs2bACg27XrTenp6Vi2bBneeecdFC9eHLa2tvDw8ECrVq3w448/6kw1qf5MrFmzBoCqNaAxI/6/fv0aM2bMQIMGDVCsWDE4ODigYsWKGDRoEK5evao3tux+/tRiYmLwxRdfaD6Dzs7OqFatGj777DPcvXs309dFCIHly5ejQYMGcHZ2RrFixdCoUSOsXLky03JvCggIgK2tLWJjY7Fv3z6Tyh49ejTL71dD3zk5udeQkhACa9eu1Vy75XI5SpUqhW7duuH333/XW8ac9ynJycmaB0wuLi6a2ZM6duyIBQsW6DykUtdddavYNWvW6BxL3/f88+fPMX78eNSuXRtFixaFk5MTfH19MWrUKIPTuxq6ToSFhaFJkyZwcXFBkSJF0KRJE870VNhIO4QDUcE1e/ZszSBAZcqUEfv27cv2vmJjY8W7774rAIiyZcuKiRMniuXLl4uJEyeKypUra47zySef6JTNOIjegQMHRNmyZcW3334rVqxYIT7//HPh4OAgAIgRI0YYPH56eroYMWKEACCKFy8uvv76a7FixQoxffp0Ua1aNQFA+Pn5iQcPHugtf/XqVeHh4SEAiKpVq4offvhBLF++XHz66afC1dVV7Nu3z+CASfv27ROhoaGiadOmegdhSkpKEqGhoSI0NDTLQZeMGZTx0qVLolSpUgKAaN26tViwYIFYtmyZGDBggLCxsREymUzMmjXLYHlDTp06JUJDQ8WQIUM0MajjDg0N1RkE7eHDh6JmzZoCgKhWrZqYMWOGWL58uRg5cqRwdHQUAMTYsWOFUqnM8jhHjhwRJUqUECNGjBDLly8XX3/9tbC3t8/WgHPGDMoohBCTJ0/WbDdt2jTNcoVCIXr16iUACDc3N/HVV1+JkJAQMWnSJFG2bFkBQLz77rsiNjZWa3+hoaHik08+0exz3rx5IjQ0VMTExGhtV79+fQFA+Pv768QUGhoqFixYIACIoUOHitDQUK31//77rwgICNB6zVesWCG+/PJLUbx4cQFA9OzZUyQnJ2uV27Ztm85n9KeffhJlypQREydOFMuWLRMfffSRAGDyoJuZ1R17e3vN+QAQQ4YMEaGhoeLo0aNa+0hOThbdu3fXXD8mT54sVqxYISZOnKh5zZs1ayZevnypVW7//v0iNDRUdOvWTRP7mjVrhI+Pj5g2bZoICQkRQ4YMEdbW1gJApvXCnDGsW7dOuLu7iy+//FIsX75cDB8+XBOD2ujRowUAYWVlJXr16iXmz58v5s6dKz744ANhZWUlrKysxLx583TijIyMFKGhoVoDi86dO1errp46dcos56Z29OhR4eTkJACI+vXrizlz5oilS5eKfv36CTc3N7Ft27ZcH5RR32fYEGMGuEtNTRVFihQRAMSPP/5ocF+pqamiTZs2AoCoVauWmDZtmli+fLmYMmWKqFKliuY9PHPmjKaM+jOhjtXX11fr/dF3Xbhy5YrmvWjQoIGYPXu2WLZsmQgKChI2NjbC2tpazJkzRye+7H7+hBDiwIEDomjRokImk4kePXqIJUuWiEWLFonAwEAhk8mEXC4X69evN/i6dO3aVQAQDg4OYuTIkSIkJERMnz5dVK5cWQwYMMCkQSl9fX2zNUhuTExMlt+v+r5zDhw4IMqUKaO51xg3bpzmOyezew1j5dagjLGxsaJ58+aaujxp0iQREhIivvrqK+Hm5iYAiN69e+sMsm2u+5S4uDhRp04dAUAEBASIn376SSxfvlyMHz9eeHl5CQDCzs5O/PPPP5oy6rqrfo+bNm2qUx9ev36t83oUK1ZM6z5n8eLFokePHgKAsLe3Fxs3btSJT9914rvvvhN+fn5i1qxZYvny5eL9998XAIRMJhObNm3K+s2hAoEJBaJc8vz5c1GiRAnNlwcAUadOHTFnzhxx//59o/eTnp6uSSbUrFlT56ZUoVBobma7dOmiUz7jD0A/Pz9x9+5drfVr167V3LQZ+nH57bffCgDCy8tLJ2mQnJwsWrZsKQCIt956S6SmpmqtT0hIED4+PgKAaNiwoUhMTNRaf/r0ac2NXmZf9sbcPOU0oRAdHS3c3d0FAPHtt9/qrP/jjz80M3JkNgp6ZoxJaiQkJGgSNa1atdL5AXvp0iXh7OwsAIjJkydneZxKlSqJs2fPaq2fNm1ariYU3nnnHc12p0+f1ixXv4+lSpXS+Sy9fPlS1KhRQwAQLVu21EmWPHjwQLPPtWvX6hzz8ePHQiaTaW5mHj16pLPN+vXrBQBx7949reXp6emaUbJbtmyp85o/ePBAk2gaNWqU3nNWn1vJkiVF9erVdUZDb9WqlUkJBWPqjvqHaGafe3UyQ9/1I+Nrru/6IYQQkyZNEgBE0aJFRY0aNXTOa8qUKQKAcHZ2FgkJCbkeQ4UKFXSuY4MGDdKqU8OHD9ck7d508OBBTVIhPDxc7/FMmeUhJ+cWHR0tXF1dBQDRvXt3kZaWprV+69atmoRSbiYU3txHThMK165d02yzZcsWg/tasmSJACDq1asnUlJStNalpKRovvv0nbexP6hjYmJEyZIlBQDRr18/kZ6errV+3759moTA6tWr9e7D1M/flStXND+gQ0JCdPYXEhIiAAhbW1vx119/6az/6quvBAAhl8u1kilCCJGYmCgaNWqk+a4y5kd1p06dNAmr7DLl+7V69eoiMjJSa/2aNWuyvNcwljqh0LhxY/Hs2bMs/2zfvj3L+NPT00WLFi0EAFGjRg2dupzxO2DAgAF695HT+5Svv/5aABCdO3fWWRcfH6+5L9D3+hk7y0NERITmoYS++xz1Z9PKykocPnxY7z4yftc1bNhQJCUlaa0fOHCgACAqVKiQaSxUcDChQJSLTp06pfnSf/NP7dq1xaRJk8Tt27cz3UfGL+njx4/r3eaff/4R1tbWWSYU9P34VCgUmhufxYsX66y/deuW5mZr5cqVeo8fERGhOcZvv/2mte6HH37QrNN34ySE0LR+kDqh0LdvXwFA+Pj46NzYq6mz71WrVtX5wWsMYxIK6qf71tbWOjdlauobXEPbZDzOuHHjdNb//fffon///uLZs2fZjt/Qj5vff/9ds827776rWX706FHNckM37hl/rKxZs0Znfe3atQUA0atXL511S5cuFXZ2dpqkj77P8wcffCBq1qyps3zFihWam6g7d+7ojW3RokWa11xfa5yMP+h27dqls37jxo163wtDzFF3Dh06pFlv6OZwz549mm1Onjyps179WTN0Dbh3755m/d69e3M9hgULFug9RsYb6eHDh4tq1arpPZYQqs8BAPHRRx/pXW9sQiGn5zZs2DDND8uMTx0zUv8YzE8JhYw/4I4dO2ZwX+on/4bqxYEDB3KcUBgwYIAAIFxcXHRaPr25LxcXFxEXF6ez3tTPn/oJ7jvvvGMwrgYNGghA9YQ4o0ePHgkbGxsBGG5RcO7cOU08xiQU1D/wihUrluW2hpjy/Tpx4kSd9QqFQsjlcoPXZlOoEwrZ+WMo/tWrV2u2ebOVl75z/PPPP3XW5/Q+pW7dugY/Y0IIsXz58hwnFNQtMCpVqmTwPke9r0qVKukk4ITQvtbou+5l/K6/fv16pvFQwcAxFIhyUaNGjRAREYExY8agSJEiWuv+/vtvTJkyBVWqVEFgYCAePHigdx8LFy4EgEwHtvLy8kKzZs10Zg14U8eOHXWW2dnZwcfHBwBw+/ZtnfXLli1Deno6rK2tERgYqHe/1apVQ7ly5QAA69ev11qn7ufq7e2N+vXr6y3fo0ePTOPOCy9fvtT0+e3Ro4fWGAAZtWvXDgBw8+ZNXLhwwexxCCGwePFiAKp+mRUqVNC73YcffghA1f946dKlme5T3/tWq1YtrF69GiVKlMh2rHFxcXj+/Lnmz/Xr1zFjxgz07NkTgGpgxrVr12q2V3+W7ezsDL7nzZs3R+nSpbW2z6hz584AgD/++ANpaWla63bu3ImWLVuiQYMGAKDThzMtLQ179+7V7CMj9Wvu7+9vcKYN9Xufnp6OTZs26d0GABwdHTXbZvT+++9j1qxZBsu9yRx1R31eHh4eBvuyt2zZEjY2NgB06++b9L125cuX18xko+8aYu4Y9H2eW7RoodUneerUqZo+xfq89dZbAIDjx49neqys5OTc0tLSsG7dOgCqfu5eXl56y1vC9dFU//zzj+bf6vGE9FGPLXHq1Cm9fesbN26MAwcOoHbt2tmKIzY2VvMad+rUCS4uLnq3U19P4+Li8Ntvv2W6z6w+f9euXdN8rnr16mVwP+prxMGDB/H8+XPN8t9++01zbXv//ff1lvX39zdpPBb1e/Dy5UskJSUZXS679F0n7OzsNN9n+q4T2VGrVi0cOHAgyz/GXHfV3zelS5dGs2bN9G7To0cPzRTg+r6fckpdH06cOKF3fffu3XHgwAF4enpma/8RERGa8UV69epl8D5HXR/u3LmDP/74w+D+ihQpove1qlatmubf5nqvybLZSB0AUUFXokQJzJkzB9OnT8fu3buxfft27NmzB7GxsQBUPyC3bt2KP//8E0eOHNEamDEuLk7zo7VevXqZHkc9QFtmKleurHe5q6ur5nhvOnLkCABVQiMlJUXrxicjDw8PPHjwQGtwyH///RfXr18HANSpU8dgXH5+flnGnttOnjypGTzQx8fH4Hk6Oztr/n327Fn4+/ubNY5r167hyZMnAJDpvitXroyiRYsiPj5e8x4ZkvHL3ZwMDf7n4uKCkSNHYsqUKZrPFvDfZ8nX1xdOTk4G91uvXj38888/OH/+PF69eqWVjOvcuTOmTZuG2NhYHD9+XDN4XmJiIg4dOoQ5c+bg5cuXOHPmDA4fPoyEhATNsU6cOIGXL1/q3OxmrGdVqlQx+N7L5XLNvzMbBLVy5cqaH5DZZa66o7559PX1zXQeejc3Nzx58iTT83J1dTWYgHJ1dUVSUpLea4g5Y3BxcUGpUqUMrlcrXry41v+Tk5ORkJCgGfDT1tYWgGqwtJzIyblduXIF8fHxACz/+miqhIQEzb/VP8D0CQgIwM6dO3H69Gm0atUKwcHBaNGiBaysVM+7HB0d0apVq2zHceLECaSkpADI/Hqacd2RI0fwySef6N3OmM9fxutx+fLlDV5P1MkNIQTOnTunSTBkHHA3q8+FsYPqZnwPEhISspzKOqeyc6+RHcWKFTPq85HV9Tg+Ph7nz58HkPnnxNnZGVWrVsWVK1ey/N7NjoCAAFy+fBkbN25EWloavvjiC63Zv4oXL56j+nD48GHNv02pD+3bt9e7XcWKFTV1NaOM3/vmeq/JsjGhQJRHHBwc0LNnT/Ts2RNpaWnYv38/li5dil27dkEIgRcvXqB///5aT73v3buneWpj6OmVKd5sJaGmvtl484kv8N+Uf/fu3YO7u3uWx3j27BmEEJDJZFojBWd2E5bZE6y8knFqw08//RSffvpplmXUP/xzKw71k3pDvLy8EB8fn+W0jFm1XMmuWbNmaT05tLW1RYkSJeDr66vz5EPdmgHI+rzU69PT03Hv3j2tJFv9+vXh6emJmJgY7Nq1S5NQ2L9/P5KTk9G5c2e8fPkS48ePR3JyMvbv349u3boBULVY8PDw0LRgUMtYz3777bcsn1ACmb/35ni9zVF3Mr7mx44dM6r+ZnZehq4fgOFriLljMOW1PX78OObNm4djx44ZnL43q9lpMpPTc8v4Y9DSr4+mSk5O1vxbnbzRZ+TIkdizZ48moX7kyBF4enqia9euCAwM1EouZIex19PixYvD3t4eycnJmV5Pjfn8ZSzfqVMno+LU97lwcHAw2KICMO1zkfE9yIsWCtm515BSVFSU5jvAmO+nK1eu4NmzZzoJ75yaPHkyjh8/jqtXryIsLAxhYWHw8fFBt27d0KNHDzRq1ChH+ze2PmRcl1l9yOp9BizvvabcwYQCkQRsbGzQoUMHdOjQAUePHkXHjh2RmJiIixcv4sqVK5ofUK9fv9aUsbe3z/Fxs3Njpo6hUqVKmua9WVEnFDI+pcosfkPN7vJSxtd66tSpRn1xZ2cKQFPiyOo9V69XP+U0JCc35Jnx9/c3enq57JwXoHtuMpkMHTt2xIoVK7Br1y7MmTMHgKq7Q926dVGmTBmUKVMG5cuXx/3797Fz506thEKnTp10Xo+MsQUGBmLYsGFZnk9mN/rmeL3NUXcynldAQAAmT56c5XEze5qck+tHXsfwww8/4JtvvgEAtG/fHl27dkW5cuU0Tyr379+PmTNnGrUvQ3J6bvnp+miqjOejb9rYjNsdOnQIq1atwsKFC3Hp0iXExMRgyZIlWLJkCby9vTFjxgz07t07W3GYet1JTk7O9HpqzOcv4zGXLl1qsNtaRr6+vpp/qz8XWcVryuci43uQ260TgNz7zsktOfl+MmdCwcPDA3/99RcWL16MxYsX486dO4iKisKcOXMwZ84c1KhRA3Pnzs12KwVjzzOz7+CM8tv7TLmHCQUiiTVv3hyjRo3CjBkzAAA3btzQJBQyflFlfOKTl4oUKYKXL1/C2tra5C+xjN0DMos/qznajZHTua0zvtaVK1fOUbNCc8WR1XuuXp/Zj1tLkZ3zAvSfW+fOnbFixQrcuXMHN27cQJUqVbB7926tZsqdOnXCwoUL8fvvv0OpVOL27du4ffs2fvrpp0xjK1GihGTvfUbmqDsZz8vZ2VmS85IihkuXLiE4OBgAMGLECCxYsEBnm0ePHuX4ODk9t7y8Pua1jF2a1F0ODLG2tsagQYMwaNAgXLt2DRs3bkRoaCju3buHe/fuoU+fPkhMTERQUJDJcUhxPc14zFq1aqFhw4YmlVd/LrKK15TPRcb3ILPuZoWVOb+fMmPMfYqDgwPGjh2LsWPH4q+//sLGjRvx22+/4cmTJ7h69Sratm2Lffv2oXXr1iYdGzD+PHNyjlQ4MbVElEtmzZoFT0/PLG+mAGjdcKj7+AKqvvzqDPDjx4/NH6QRKlWqBEB1A54xNmOUL18eMpkMABAdHW1wu5cvX2a5L/WTRUPN57J6Sp8V9XkCMDhAZl7IGEdW77l6vaFBBC1J0aJFNU3Cszov9YBu1tbWKF++vM76Vq1aacYz2L17N06fPo1nz55pjY2g/vezZ89w5swZ7Nq1C3K5XO9NWMZ6JuV7n5E56k7G11yq85Iihi1btmiuVSNHjsy14+T03DK2cMrp9dFUycnJOHr0qNF98E2Vscm0KfH7+flh6tSpiIyMxJo1azT1XJ0gMpWx19OXL19qfkTl9Hqa0+8S9efC0Jgkaqa8ruptixUrlictFPIbU+611N9PHh4eWklBwPz3KQ0aNMDs2bPx4MEDzJw5EzKZDEqlEt9++61J+1Eztj5kHFQ1P9xfkPSYUCDKJa9fv8aTJ09w9+7dLLfNmLUuW7as5t9FihTRjEauHjDIkKFDh+L99983e0sGdR/1hIQEXL161eB2Z86cgY2NjdaPumLFiqF69eoAgIsXLxosGxERkWUc6r6r6sEs33Tr1q0s95GZxo0ba5ojh4eHZ7pthw4dYGNjk+ngcdlVrVo1zQjOmb3nd+7c0dycqN8jS6eO88aNG0hMTDS4nXockbfeektvc1InJye0aNECgKobw86dO+Hl5aU1kFTz5s01N3s7d+7Ezp070aJFC71P5zLWs7Nnz2b6FOnHH3+EjY2NSbM1ZIe56o76Nb9161amP0A2btwIGxsbfPbZZ9mINnN5HcPTp081/zbUTzhj01991MmcrOTk3GrUqKF5+pfT66OpYmJi8O6772rNjGFOGQfly/h+vGnFihXYuHGjznIrKyv069dPkxB68uSJzjgYxrxHGa/rmV1PM67L6fU0Y/msvkv8/PxgZ2enNYZCxtmczPW5UL92GX9Q0n+MvddKSEjAzZs3Aej/nOT0PmX27Nl6Z1Wws7PD559/rpnxRd+9mDH1IWPMmZ1nxrG88sv9BUmLCQWiXKbvZulN+/btA6AaCfzN6eGGDx8OQNVCwNAUZ3///TeWLVuGx48fm2WshYyGDh2q6auZ2c3nihUrkJ6ertPXtX///gBUg8wZ+gEeFhaWZRxVqlQBANy9e1dv9n/37t1Z7iMzrq6umqmS9u3bZ3BguPv372P//v2oWLGi5gbEnGQymabp/unTpxEVFaV3O/VUaNbW1hgyZIjZ48gN6oEuFQqFwff82LFjmqcj6s++PurE1cmTJ7Fx40Z06tRJ64ZKLpejTZs2AIANGzbg1KlTeqcyU1Mf6/nz5/j999/1bpOWloY1a9ZAJpNppsbMTeaoO+rXPD09XWsKzzeFhITorb/mkNcxZBzg0NANfFZTvjo6Omr+nbH/+axZs+Dr64tLly4ByNm52djYaK45p06dMvjE0Jjro6WpUqWKJhmYWVI9NDQ00+Sc+r20trbWeRqsfo/eHKMhICBAMyp9xuv67t27DT4hVl9PXVxcNNtnV7Vq1TQ/wjZs2GAwyX/y5ElERESgWbNmKFmypGb5Bx98oHnSvXnzZr1lL168aPC7QR/1wHqGpp8l4+61wsLCNK1O9Q3cnNP7lAULFiAkJMTgenV9yDiLgpq++pCcnAxfX18MGjQIgPZnc+PGjQa7zajrQ6VKlTTfo0SZEkSUKyZNmiQACHt7e7Fnzx6D261bt07Y2NgIAOKXX37RWZ+eni5atGghAIhatWqJuLg4rfUJCQmifv36AoDYu3evTvlVq1YJACKz6t6sWTMBQPTv31/v+smTJwsAws7OThw6dEhn/ebNm4VMJhP16tUTqampOvH5+PgIAKJRo0YiMTFRa/1ff/0lnJ2dNTGuWrVKbwx3794VMplMABAbNmzQWhcZGSn8/Pyy3EdWr0VMTIwoWbKkACA6duwokpOTtdbHx8eLxo0bCwAiLCxM7z6yYsz7kZiYKKpVqyYAiDZt2giFQqG1/vLly6JIkSICgJgyZUq2j5PT+I8cOWJy+QEDBggAonTp0uLhw4da6+Li4kStWrUEANGyZUuhVCoN7ufBgweaOACIXbt2ZRorAPHgwQOD+8tYz8qXLy8ePXqks37UqFECgBg5cqTeffTv318AEM2aNcvkFTCeMXWnXLlyWX7u1a+5q6uruHLlis762bNnCwDivffe01tefS0rX768wVjLly8vAIhJkyZJFoPapUuXNNeKDh066FyTTp06pbnmGqofL1680Ozj4MGDmuXt27cXAMQ///xjlnOLjo4Wrq6uAoAIDAwUaWlpWut37NghbG1tjapz6s+fMXU+KipK7/tlzGf4yJEjWX7mhBCiY8eOAoDo16+fwW3U3z07duzQWadQKESDBg0EANGlSxed9XPnzhUARNmyZTXLoqOjhZWVlWjTpo1mWcbr+sCBA0V6errWfg4cOKD5PKxZs0ZvnKZ8/oQQIiIiQjg6OgoAYsiQITrHjImJEZUqVRI2NjYiPDxcp/zXX38tAAi5XC7OnDmjtS4pKUkEBARoYs7qepOcnKz5DG3ZssWo+PXJ6ferEFnfaxhLfb0x9lprzGf2zXut2NhYrfWPHj0SpUuX1nyO9MnpfUr58uWFnZ2dOHv2rM66f//9V/N9MGrUKJ316u+nJk2aaJaFh4drPoNqGT+b+q7X6vfRysrK4PXGmOuEMdcIKjg4KCNRLvHy8oKtrS2Sk5PRoUMHNGvWDK1atYKXlxeEEHj48CH279+P06dPw9raGpMmTdL7RNbKygpbt25F165dcfToUdSsWRNBQUEoXbo07t+/jzVr1uDhw4eYOnWqZh5rALh8+TIuX76M06dPa5apn6B169YNTk5OOHDgAJ48eaJ5Gn/37l2sXbsWzs7O6Nq1q6bcxIkTER8fjzlz5qBNmzb44IMPEBAQgMTERBw7dgzbt29H5cqVsXXrVp35nh0dHTXT+50+fRr16tXDwIED4ebmhosXL2LVqlWYOXOm5txPnz4NGxsblC9fHk2bNtXsx8fHB59++ikWLlyIoKAgnD9/HtWqVUNUVBTWrFmDVatWoWXLllr7qFChAho3bozTp08jMjJS72vRuHFjzSjcJUuWxMGDB9GhQwf8/vvvqFWrFvr27QtPT09Nn96YmBhMnz4d3bt3N+nzkFkMGd8TQDUo0/79+9G+fXvs378fdevWRb9+/VCiRAlcuXIFISEhSEhIwJgxYzBhwgSt42T2vr/5vppi+/bteP36tdZ+Dxw4oBncrnXr1lpP2QxZsmQJkpKSsHHjRtSpUweDBw9G5cqV8ejRI6xYsQIPHjxA8+bNERYWlmkTzrJly6JOnTq4dOkSHBwcNO99Rh07doSVlRWUSiXq1Kmj1Z3oTYbqma+vL2JiYrB9+3acP38e7733ns7Ajup6pH4S++TJE81rXrFixWxP9ZVV3Vm3bh02bNiAtm3bZrqfjK95gwYNMGDAANStWxcvX77EH3/8gcOHD6Nhw4Y6LZDUn9nLly8DUDX3VZ/XRx99BOC/z4V6ZPrLly9j7dq1KFmypNZ4FbkRw5vHUKtduzYmTpyIKVOmYM+ePahXrx569eqldc2pUKGCpvXCm9dFQDWNYMeOHbF79258/vnnGDp0KCIiIrBv3z60bdtWaxrf7J4bAHh6emLbtm3o1KkTwsLC0KhRI3zwwQdwcnLStL6ZNWsWRo0aBeC/Ole9enXUq1cP8fHxWLZsGQDg2rVrmv1m1SXnze4Z6vdR32f4ze+L69eva70/NjY2eq8tvXv3xu+//44jR44YjEPdiqFbt27o1q0bGjZsCFdXV/zzzz9Yv349bt68iapVq2LRokU6ZQMDAxEcHIyHDx9iyJAhqFevHn799VcolUoMHDhQs13G6/qqVasQERGBXr16wdnZGeHh4VizZg2EEJg9ezb69eundYzsfP4A1ZPg33//Hd27d8eyZctw/vx59OrVCy4uLrhx4wZWrlyJpKQkhISE6ExjCwDfffcdrl+/jh07duDdd9/F4MGDUatWLTx9+hSrV69GyZIl0bNnT6xfv17rverdu7fOd/DJkyeRmpoKFxcXTcsNYz158gQHDhzQeU1sbGw052/Oe43M3L17F6dOnQLw30wYGc9d33eQKZ/ZN78DatWqhY8//hhlypTB7du3ERISgufPn6NXr15YsmSJ3hhzcp8CqOrD/fv3ERAQgD59+qBOnTpwcnJCVFQUQkND8ejRIzRu3BjfffedzrE//PBDzJ8/H6dOncJXX32FcuXKYeHChbCystK0dgP++2x269YNU6ZMwenTp/Hee+/BxsYGhw8fxqZNm2Bvb4/Vq1frzOJk6Lsu42v5Zkst9Xnm5LuQ8gGpMxpEBdm///4rfvvtNzF06FDRsGFDUbJkSSGXy4Wtra1wc3MTb7/9tvjiiy/E9evXs9yXUqkUa9euFW3atBHu7u7CxsZGeHh4iC5duojDhw/rbK9+oqLvT1RUlBDiv6cFb/4x9BTm5MmTok+fPqJMmTLCzs5OFClSRDRo0ED8+OOPIiEhIdP4nzx5IkaMGCHKlSsn7OzshIeHh+jYsaOmxcObMQQGBursIz09XcycOVNUr15dyOVyUaJECdGtWzdx6dIlvfv48MMPhRDaT+7e/KMve/7q1SsxY8YMUb9+fVG0aFFha2srypQpI/r06SNOnz6d6XkaklkMGd+TjBQKhfjll19E06ZNRbFixYSdnZ0oXbq06N27tzhx4oTe42T2vhv7dE0f9RMhQ39Mba2wa9cu0aVLF1GyZElha2srSpQoIVq3bi1CQ0MzbZmQ0YQJEwQA0blzZ4PbNGrUSAAQEyZMMGqf+upZiRIlRJs2bcS6dev0ljFUj2CGJ3FC6NadUqVKiV69eolLly4JpVKpOVZoaGim+9m9e7fo2rWr8PT0FDY2NsLV1VU0bdpULF68WOcpvhCZf2bVDH0uDD25MmcMWT2d3LVrl2jdurVwdXXVXC87dOggdu3apdN6RV8dfPHihRg4cKDmM+rj4yNGjhyp8+Qyu+eWUWRkpOjfv78oVaqU5j1+//33xYULFzStCTL+GTdunBBC6F1nyh/1E8rM6ndW3xeGri3JycmalgEnT57Ue95paWli9+7dYtCgQaJGjRqiSJEiwtraWri6uorGjRuLWbNmZfrdcuTIEdGkSRPh6OgonJ2dRb169QzWU/V1/a233hJFixYVcrlceHt7i6CgIL0tS4TI2edPCCGePXsmgoODRc2aNYWTk5Ows7MTFSpUEIMGDRLXrl3LtKxSqRTLli0Tb731lnB0dBRFihQRderUET/++KNISUnRG9urV6909jNo0CABQIwePTrLeN+U8cm+ofPPjXsNffTV2ay+g0z9zAqhet1DQ0NFmzZtRIkSJYStra0oWbKk6NKli96WcG/K7n2KEKo6s2HDBvHhhx8KX19f4ejoKKytrYWbm5to0aKFWLZsWabXki1btgh/f39hb2+vqUP79+/Xu+2bn00HBwdRpUoV8dlnn4l79+7pLWPM+5ib34VkuWRCmDhsOxEREVmE+Ph4zcB+v//+Ozp06CBxRET/WblyJT7++GN07twZO3fulDqcQufhw4fw9fWFvb09bt26BTc3N6lDIqICiIMyEhERWai///4bL168MLj+9u3bmn/XqFEjL0IiMtrAgQPx3nvvYdeuXdiwYYPU4RQqSqUSQ4cORVJSEpYtW8ZkAhHlGiYUiIiILFTbtm0xffp0g+vVT33r1KmDcuXK5VVYREaRyWRYt24dmjZtiqCgoBzPxkPGSU1Nxccff4x9+/Zh7ty5CAwMlDokIirA2OWBiIjIQnl6eiIlJQXnzp3TDB6qdvnyZTRp0gSvXr3C7t270bFjR4miJMpcSkoKxo0bh7179+LOnTtSh1Pg/fnnn+jduzeWLl2K9957T+pwiKiAY0KBiIjIQpUqVQoxMTFwcXFBv379UK1aNVhZWeHcuXNYu3YtFAoFZs2ahbFjx0odKlGWoqKi4OPjI3UYBd7z588hl8s1s2gQEeUmJhSIiIgs1P3797F27VocPnwY169fx/Pnz2FlZYVSpUqhWbNmGDlyJOrVqyd1mERERFRIMaFARERERERERCazkToAMkypVOLx48coUqQIZDKZ1OEQERERERFRASeEwKtXr+Dl5QUrq8zncWBCwYI9fvwYZcuWlToMIiIiIiIiKmQePnyIMmXKZLoNEwoWTD2YzsOHD1G0aFGJo8mcUqnEs2fP4O7unmUWi6ggYh2gwo51gAo71gEq7FgHCo74+HiULVvWqMFdmVCwYOpuDkWLFs0XCYXk5GQULVqUFxAqlFgHqLBjHaDCjnWACjvWgYLHmG73fKeJiIiIiIiIyGRMKBARERERERGRyZhQICIiIiIiIiKTMaFARERERERERCZjQoGIiIiIiIiITMaEAhERERERERGZjAkFIiIiIiIiIjIZEwpEREREREREZDImFIiIiIiIiIjIZEwoEBEREREREZHJmFAgIiIiIiIiIpMxoUBEREREREREJmNCgYiIiIiIiIhMxoQCEREREREREZksXyQU7t27hzFjxqBWrVooVqwY7O3tUalSJQwbNgxRUVEGy928eRMfffQRSpUqBXt7e1SsWBFffPEF4uLiMj1eXFwcvvzyS1SqVAn29vYoVaoUPvroI9y8eTPTckqlEgsXLoS/vz+cnJxQvHhxtG7dGvv27cvWeRMRERERERFZKotPKBw+fBjVq1fHwoUL0adPHxw7dgyXLl3C2LFjsX79etSqVQtnzpzRKXf06FHUrVsX586dw+rVq3H9+nV8++23WLJkCerVq4fo6Gi9x4uOjka9evWwePFijB8/HtevX8fq1atx7tw51K1bF0ePHtVbLi0tDV27dsWIESPQunVrXLx4Efv374dcLkf79u3x448/mvNlISIiIiIiIpKUjdQBZGXMmDFISkrC+PHj8c0332iW+/r6wtbWFkOGDMHQoUPx999/a9bFxsaiZ8+eEEJgz549qFChAgDAx8cHcrkcH374Ifr164cDBw7oHK9fv364e/cufvvtN3zwwQeacnv27EH16tXRs2dP3LlzBy4uLlrlfvjhB+zatQuDBw/GDz/8oFm+bds21KlTB19//TUCAgLQpEkTs74+RERERERERFKw+BYKt2/fBgA0atRIZ5162eXLl/HixQvN8gULFuD58+fo0qWLJpmg1rt3b3h5eeHgwYM4efKk1rrjx4/j4MGD8PLyQu/evbXWVahQAd26dcPz58/xyy+/aK1LTEzETz/9BAAYO3as1jpbW1uMHDkSADBlyhSjz5uIiEifp0+B58+BnTuBixeljoaIiIgKM4tPKNSuXRsAEBERobNOvUwmk8He3l6zfPPmzQCAli1b6pSxsrJCixYtAAAbN27UWqcu17x5c1hZ6b40rVq10ltu3759ePXqFby8vODr62uw3JEjR/Ds2TN9p0lERJQlhQJ47z1g4kSgWzfg+HGpIyIiIqLCzOK7PCxevBidOnXCtGnT4O3tjU6dOsHa2hp//vmnpjVAs2bN4OTkBABISEjAtWvXAEDvj/uMy8+ePau1PDw83Khy165dQ1JSEhwcHIwqV6FCBdjZ2SElJQUXLlxA27Zt9W6nUCigUCg0/4+PjwegGuxRqVTqLWMplEolhBAWHydRbmEdoLwwZowMffsKfPedDOvXC9y9C1jKR451gAo71gEq7FgHCg5T3kOLTyjUqVMHN2/exNy5cxEUFISEhATIZDLNSdauXRsrV67UbB8VFaVZ5+npqXefpUqVAgBERkZqLVf/P6tySqUSUVFRqF69ulHlZDIZSpYsiYcPH+ocM6MZM2bo7Rbx7NkzJCcnGyxnCZRKJeLi4iCE0Nu6g6igYx2g3BYWZg9raxsEBr5Gy5YyREdb4+RJezx9+lrq0ACwDhCxDlBhxzpQcLx69crobS0+ofDy5UsMGDAAu3fvxrhx49CzZ0/I5XIcO3YMMTExGDduHIoVK6bZXv1UH4CmBcGbHB0dAUBn+kh12azKvVk2q3KZHTOjb775RmsMhvj4eJQtWxbu7u4oWrSowXKWQKlUQiaTwd3dnRcQKpRYByg3XbsG7N0rw9atAjY2jvDwAOzsgPR0GTw8HLPeQR5gHaDCjnWACjvWgYIj43ACWbHohIIQAu3atcNff/2F4OBgTJ8+XbOuVq1a2LZtG6pVq4YVK1agY8eOEkZqHnK5HHK5XGe5lZVVvqiUMpks38RKlBtYByg3vHoFjBoFrF8P2NnJNMuLFgUSEgArK1kmpfMW6wAVdqwDVNixDhQMprx/Fv1OHz58GH/99RcAYNy4cTrru3XrhqJFi6Jr1664+P+hrjM+yU9KStK738TERADQmfpRXTarcm+WzapcZsckIiIyRAhg2DBg6lSgZEntdc7OqoSCejsiIiKivGbRCYXz588DAEqWLInixYvr3cbX1xdpaWkICQkBAPj4+EAmUz2tiYmJ0VsmOjoaAFCxYkWt5er/Z1XOysoK3t7eRpcTQuDJkyd6j0lERGTI/PmAvz/QpInuOrkcuHcPOHwYKFs2z0MjIiIisuyEgpo6QaCPujnGo0ePAABOTk7w8/MDANy4cUNvGfXy+vXray1v0KCBUeX8/Py0xlPIqtzdu3eRkpICKysr1KtXz+C5EBERqZ06BZw5A4wZo3+9TAacPQu0bAlUrZq3sREREREBFp5QqFKlCgDVk39DgxnevHkTgPYMCz179gQAHDp0SGd7pVKJw4cPa233ZrmjR4/qnSrj4MGDesu1a9cOzs7OePz4sd6kgrpc8+bN4e7urvc8iIiI1J4+Bb79Fli6VJU4MOThQ+DuXeD/MycTERER5SmLTii0adMGJf/faXT+/Pk66/ft26f5AR8YGKhZ/tlnn8HNzQ07duxAVFSUVpkNGzbg8ePHaNGiBZo2baq17p133sG7776Lx48fY+PGjVrr7t69i23btsHNzQ2fffaZ1jonJyd88cUXAIC5c+dqrUtNTdXEPmnSJKPPnYiICqf0dGDwYGDePNXAi5kpUwbw8cmbuIiIiIjeZNGzPDg6OuK3335Dly5dMHXqVMhkMvTo0QNyuRyHDx/GV199BUCVQGjTpo2mXLFixbBp0yZ07NgR7du3x/z581G5cmUcPXoUI0eOhLe3N0JDQ/Uec+3atQgICMCQIUOQnJyM5s2b4/bt2xg5ciRkMhk2bdoEV1dXnXLBwcEIDw/HsmXLULx4cQQFBSE+Ph6TJk1CREQEpk+fjnfeeSdXXiciIio4Jk8GAgOBmjWljoSIiIgoczIhLH9s6MjISMydOxcHDhzAgwcPkJ6eDnd3dzRo0ACDBw9Ghw4d9Ja7ceMGpk6disOHD+Ply5coXbo0unXrhgkTJuhNCqjFxsZi2rRp2LZtGx49eoRixYqhRYsWmDBhAqpVq2awXHp6OhYtWoSVK1fi1q1bsLW1xVtvvYWxY8cajDEz8fHxcHFxQVxcnNbsFZZIqVTi6dOn8PDw4DQxVCixDpA57NkD7NoFLF5sWrn33gN27sydmIzFOkCFHesAFXasAwWHKb9D80VCobBiQoEo/2AdoJy6dw8YMkSVGLC3N60sEwpE0mMdoMKOdaDgMOV3KN9pIiIiiSkUwNChqkEYTU0mAAAfDRAREZEUmFAgIiKS2NixwMiR2R9g0coK0DM5EREREVGuYkKBiIhIQmvXAq6uQMeO2d+HrS2Qmmq2kIiIiIiMYtGzPBARERVkV68CmzYB27blbD92dqqEglxunriIiIiIjMGEAhERkQTi44FRo4D16wFr65zty9YWSEkxT1xERERExmKXByIiojwmBPDJJ8DUqYCHR873p26hQERERJSXmFAgIiLKY/PmAW+9BQQEmGd/HEOBiIiIpMAuD0RERHno5Engr7+A334z3z7Z5YGIiIikwIQCERFRHnn6FJg4UTUIo0xmvv2yywMRERFJgV0eiIiI8kB6OjB4MPDzz0DRoubdN7s8EBERkRSYUCAiIsoDkyYBPXoANWuaf992duzyQERERHmPCQUiIqJc9vvvwL//An375s7+2UKBiIiIpMAxFIiIiHLRvXvA/PnAjh25dwwOykhERERSYAsFIiKiXJKcDAwdCixdCtjb595xOCgjERERSYEJBSIiolwydiwwciTg7Z27x2GXByIiIpICEwpERES5IDQUKF4c6Ngx94/FQRmJiIhIChxDgYiIyMyuXAG2bAG2bs2b47GFAhEREUmBCQUiIiIzio8HRo8G1q8HrK3z5pgcQ4GIiIikwC4PREREZiIEMGwY8N13gIdH3h3Xzg5QKICffwaUyrw7LhERERVuTCgQERGZyc8/Aw0aAI0b5+1x3d2BefOACROA16/z9thERERUeLHLAxERkRmcPAmcOwesXZv3x65YEahaFahfX9XlomjRvI+BiIiICh+2UCAiIsqhp0+BiROBxYsBmSzvj1+mDLBuHeDoCCQn5/3xiYiIqHBiQoGIiCgH0tOBQYNUXQ6kbhlgb8+EAhEREeUdJhSIiIhyYOJE4P33gRo1pI4kewmFhATVYJJEREREpmJCgYiIKJt27wZiY4GPPpI6EhVTEgppacDhw4CzMxARkbtxERERUcHEhAIREVE2REUBCxYAc+ZIHcl/7O1V00caY8IEoGVLoGtX4NmzXA2LiIiICigmFIiIiEyUnAwMHQosXQrI5VJH8x91CwWFAnj1yvB2O3eq1r96BbRtq+r2QERERGQqJhSIiIhMNGYMMHo04O0tdSTa7O2BpCRgwABgyRL929y9CyxaBMyereru4OTEhAIRERFlDxMKREREJvj1V6BECaBDB6kj0SWXA/Pnq/5+8UJ3vb6WFUwoEBERUXYxoUBERGSkK1eAsDBg8mSpI9GvSBHAzU01PkJSku76UaOAsWOB8uX/W8aEAhEREWWXjdQBEBER5Qdxcaof5Bs3AtbWUkejX9u2qj9Pn+omFFavBkqWBNq3117OhAIRERFlFxMKREREWRACGDYMmD4dcHeXOhrD1IkOBwfthMLffwPbtgFbt+qWcXQEEhPzJj4iIiIqWJhQICIiysLcuUDDhkCjRlJHYhz1bA+AqmXFmDGGW1awhQIRERFlFxMKREREmThxAjh/Hli7VupIjCeXq6aOFEI1CGNmLSuYUCAiIqLsYkKBiIjIgCdPgEmTgO3bAZlM6miMp451zhxVq4rMWlYwoUBERETZZfGzPNy7dw8ymcyoP6NHj9YpHx4ejq5du8Ld3R0ODg7w8/PDtGnToFAoMj1udHQ0hg0bhnLlykEul6NcuXIYNmwYHj9+nGk5hUKB6dOnw8/PDw4ODnB3d0fXrl0RHh6ek5eBiIjyWFoaMGiQahrGIkWkjsZ0d+4AFy4AI0dmvh0TCkRERJRdFp9QUKtQoQKqVq2q94+npycAoFq1alpl1q1bh4CAADx58gRbt27F1atXERQUhClTpqBp06Z4/fq13mNFRESgZs2a2LFjB+bOnYsbN25g7ty52L59O2rVqoWIiAi95V6/fo2mTZti8uTJCAoKwtWrV7F161Y8efIEAQEBWLdunXlfFCIiyjUTJwK9ewN+flJHkj1NmgCLF2fdssLODkhNzZuYiIiIqGDJN10eDh06BG9vb73rPvroI/z+++/46KOPNMsiIyMRFBQENzc37N27F66urgCAcePGQaFQYPz48RgzZgyWL1+uta+0tDQEBgbixYsXOHnyJBo3bgwA8PHxgaenJ5o0aYIePXrg8uXLsLHRfvlGjx6Ns2fPYvr06Rg3bhwAoGLFiti7dy+qVq2KoKAgNGzYEBUqVDDTq0JERLlh1y7VYIYffih1JNm3bJnUERAREVFBZ/EtFORyOfz9/SGXy/Wuj4mJwebNmxEUFAQnJyfN8u+//x4KhQIDBw7UJBPUhg8fDrlcjpUrV+LBgwda69avX48bN27g7bff1iQT1AICAtCwYUNcv34dGzdu1Fp3//59rFq1CnK5HMOHD9da5+rqiqCgICgUCsyYMcPUl4CIiPLQ3bvAL7+oxh8gIiIiIsMsPqFQqlQpnDt3DqVKldK7fsmSJUhLS8OIESM0y9LT07H1/5Ntt2zZUqeMi4sL6tevD6VSiS1btmit27x5s8FyANCqVSsA0EkohIWFQalUwt/fHy4uLgbLhYWFIT09Xe++iYhIWsnJwLBhqqf7BvLYBVJ+GnCSiIiILEe+6fKgT2pqKpYuXYqOHTvCx8dHs/zWrVuIjY0FAPj6+uot6+vrixMnTuDs2bNay9WDJ2ZWDkC2y718+RJ37txB1apVdbZRKBRag0XGx8cDAJRKJZRKpd79WgqlUgkhhMXHSZRbWAcKhlGjZBg1SqBsWaAwvZVCyKBUihztg3WACjvWASrsWAcKDlPew3ydUNi0aRNiYmIw8o0hrCMjIzX/Vg/Y+CZ1i4eM275+/RpPnz41qlxMTAwSExPh6OiotR9D5TIuj4yM1JtQmDFjBqZMmaKz/NmzZ0hOTta7X0uhVCoRFxcHIQSsrCy+4QuR2bEO5H+bNtnDyckG/v6v8f+vgkIjJcUVT5/G5mgfrANU2LEOUGHHOlBwvHr1yuht83VCYcGCBahWrZqmO4Ga+sm+tbU1bG1t9ZZVJwLi4uJ0ygGAg4NDpuXUZdX/V5c1VM7a2hpyuRwKhULrmBl98803GDt2rFY8ZcuWhbu7O4oWLaq3jKVQKpWQyWRwd3fnBYQKJdaB/O3yZeDgQRnCwgSsrR2zLlDA2NrK4OHhkaN9sA5QYcc6QIUd60DBYW9vb/S2+TahcPbsWYSHh2PRokVSh2I2crlc7+CTVlZW+aJSymSyfBMrUW5gHcif4uKAsWOBjRtVP6wLIxsbQKmUwSaHdwWsA1TYsQ5QYcc6UDCY8v7l23d63rx5cHFxQb9+/XTWqZ/mp6enI9XA5NqJiYkAoDWAYsZWAElJSZmWM1TWULn09HTN+Aj6Bm0kIqK8JwQwdCgwfTrg7i51NNJxcAAyDOFDREREZJR8mVB48uSJ3qki1SpWrKj5d0xMjN59REdH62zr7OysafKZVTlPT0+t7g/q/Rgql3F5xmMSEZF05swBGjcGGjWSOhJp2durZrggIiIiMkW+TCjomyoyoypVqmhaAdy4cUPvNurl9evX11reoEGDXC3n6uqKSpUq6d2GiIjyzvHjwMWLwGefSR2J9OztAQMN7IiIiIgMyncJBfVUkR06dECFChX0bmNtbY3u3bsDAA4dOqSzPi4uDmfPnoWVlRUCAwO11vXs2dNgOQA4ePCg1nZqgYGBsLKywvnz5/UOuqgu1717d1hbW2d2ikRElMtiYoDJk4HFiwFZ4Rw2QQtbKBAREVF25LuEwubNmxEdHa0zVeSbgoODYWdnh1WrVun8wF+4cCEUCgUGDBiA8uXLa63r06cPqlSpgvDwcJw6dUpr3alTp3DmzBlUrVoVffr00Vrn7e2N/v37Q6FQ6AwUGRsbi5UrV8LOzg7BwcGmnjIREZlRWhoweDAwfz5QpIjU0VgGBwcmFIiIiMh0+S6hMH/+fL1TRb6pUqVKCAkJwfPnz9G+fXucPHkSd+/exezZszFp0iT4+/vj559/1ilna2uLsLAwFC9eHIGBgdi6dSvu3buHrVu3IjAwEMWLF8eWLVtgo2co7Hnz5sHf3x8TJ07E7NmzcffuXZw8eRLt27fH8+fPERISwvETiIgkNmEC0KcP4OcndSSWg10eiIiIKDvyVUJBPVXkiBEjIDOijWrfvn1x8uRJuLu7o0uXLqhevTpCQkIwYcIEnDhxAkUMPJqqUaMGLl++jM6dO2PUqFGoWrUqRo0ahc6dO+Py5cuoUaOG3nJFihTBiRMnMHHiRISEhKB69ep477334O7ujhMnTqBv3745On8iIsqZnTuBV6+ADz6QOhLLwi4PRERElB0yIYSQOgjSLz4+Hi4uLoiLi9Oa0tISKZVKPH36FB4eHpx3lgol1gHLFxkJfPqpKqkgl0sdjWX55RegalWgdevs74N1gAo71gEq7FgHCg5TfofqttsnIiIqYJKSgGHDgJAQJhP0YQsFIiIiyg6mjoiIqMAbNQoYNw54Yxxe+j+OoUBERETZwYQCEREVaKtWAaVKAe3aSR2J5eIsD0RERJQd7PJAREQF1qVLwI4dQFiY1JFYNnt74MULqaMgIiKi/IYJBSIiKpBiY4GxY4FNmwBra6mjsWzs8kBERETZwS4PRERU4AgBDB0KfP89UKKE1NFYPnZ5ICIiouxgQoGIiAqcWbOAJk2Ahg2ljiR/4CwPRERElB3s8kBERAXKsWPA5cvAr79KHUn+wS4PRERElB1MKBARUYERHQ1Mngzs3AnIZFJHk3+whQIRERFlB7s8EBFRgZCWBgweDPzyC+DsLHU0+QvHUCAiIqLsYEKBiIgKhPHjgQ8/BKpXlzqS/IddHoiIiCg7mFAgIqJ8b8cOIDER6NNH6kjyJ3Z5ICIiouzgGApERJSvRUYCixerkgqUPXI5oFBIHQURERHlN0woEBFRvpWUBAwbBqxYofpRTNljZQUIIXUURERElN+wywMREeVbI0cCX3wBlCsndSREREREhQ8TCkRElC+tXAmUKQO0aSN1JERERESFE7s8EBFRvnPpErBrFxAWJnUkRERERIUXEwpERJSvxMYCY8cCmzap+v4TERERkTR4K0ZERPmGEMCQIcAPPwAlSkgdDREREVHhxoQCERHlGzNnAs2aAQ0aSB0JEREREbHLAxER5Qt//glcvQqsWSN1JEREREQEMKFARET5QHQ0MHUqsGMHIJNJHQ0RERERAezyQEREFi4tDRg8GPjlF8DZWepoiIiIiEiNCQUiIrJowcFA375AtWpSR0JEREREGTGhQEREFmv7dkChAHr1kjoSIiIiInoTx1AgIiKLdOcOsGQJsHOn1JEUHkJwjAoiIiIyHlsoEBGRxUlKAj75BFi+HLCzkzqawsHGBkhPlzoKIiIiyk+YUCAiIoszciTw5ZdA2bJSR1J42NkBKSlSR0FERET5CRMKRERkUVasUCUSWreWOpLChQkFIiIiMhXHUCAiIotx8SLw++/Ali1SR1L42NmpBsAkIiIiMhYTCkREZBFiY4Fx44DNmwErtp/Lc2yhQERERKbiLRsREUlOqQSGDAF++AFwc5M6msKJCQUiIiIyFRMKREQkuZkzgebNgQYNpI6k8GJCgYiIiEzFhAIREeWpN3+0Hj0KRESopokk6RhKKNy/D7x+nffxEBERkeVjQoGIiPLM8+eAXA48e6b6f3Q0MG0asGgRIJNJG1thpy+h8PIl4O0N7NwpSUhERERk4fJNQiEhIQEzZsxA/fr14erqCkdHR1SoUAFdunTB0qVL9ZYJDw9H165d4e7uDgcHB/j5+WHatGlQZDGMdXR0NIYNG4Zy5cpBLpejXLlyGDZsGB4/fpxpOYVCgenTp8PPzw8ODg5wd3dH165dER4enu3zJiIqKNLTgcGDgbZtVQmF1FRg0CDgl18AJyepoyM7O+Dmzf/+r1Sq3p9Jk4BXr6SLi4iIiCxXvkgo3L59G35+fti6dSvGjx+Pixcv4sKFCxgxYgT++OMPfPfddzpl1q1bh4CAADx58gRbt27F1atXERQUhClTpqBp06Z4baD9ZkREBGrWrIkdO3Zg7ty5uHHjBubOnYvt27ejVq1aiIiI0Fvu9evXaNq0KSZPnoygoCBcvXoVW7duxZMnTxAQEIB169aZ9TUhIspvpk0DOncGmjRRNaEPDgb69wd8faWOjADgxQugb9///j9tGtC+vWpsC3Z5ICIiIn0sftrIhIQEtGnTBh4eHjh27Bjs7e0163x9fZGcnIwtb0xYHhkZiaCgILi5uWHv3r1wdXUFAIwbNw4KhQLjx4/HmDFjsHz5cq1yaWlpCAwMxIsXL3Dy5Ek0btwYAODj4wNPT080adIEPXr0wOXLl2Fjo/3SjR49GmfPnsX06dMxbtw4AEDFihWxd+9eVK1aFUFBQWjYsCEqVKhg7peIiMji/fEH8OiR6mn3zz8Dv/4K2NgA778vdWSkNnUqcPUqIASwb5/q/Zo4ETh1ioM1EhERkX4W30JhxowZuHfvHqZNm6aVTFALDg7GhQsXtJZ9//33UCgUGDhwoCaZoDZ8+HDI5XKsXLkSDx480Fq3fv163LhxA2+//bYmmaAWEBCAhg0b4vr169i4caPWuvv372PVqlWQy+UYPny41jpXV1cEBQVBoVBgxowZpp4+EVG+9+ABMGsWMH++6v8pKcDChcBPP0kbF2mzt1d1PblxA5g797/3Sy4HsugpSERERIWURScU0tPTsXLlSsjlcrRo0cLoMlu3bgUAtGzZUme9i4sL6tevD6VSqdOyYfPmzQbLAUCrVq0AQCehEBYWBqVSCX9/f7i4uBgsFxYWhvT0dKPOg4ioIEhJAYYMAZYsARwcVMuCglRjKNjZSRsb6XJ2Bj7+GFi2TJVgAFQJBbZQICIiIn0susvD1atXER0djapVqyI+Ph4//vgjdu3ahZiYGBQrVgxNmzbFF198AT8/P02ZW7duITY2FoCqS4Q+vr6+OHHiBM6ePau1XD14YmblAGS73MuXL3Hnzh1UrVpV73YKhUJrwMj4+HgAgFKphFKp1FvGUiiVSgghLD5OotzCOqDfuHEyDB0q4OOjGuQPAIoXV/3Nl8ryVKsG9OoFlCv33/tjYwMkJ8ugVIpMy7IOUGHHOkCFHetAwWHKe2jRCYXLly8DAJKSkuDv74+aNWti8eLFKFGiBI4dO4ZvvvkGGzZswObNm9G5c2cAqvET1Dw9PfXut1SpUjrbvn79Gk+fPjWqXExMDBITE+Ho6Ki1H0PlMi6PjIw0mFCYMWMGpkyZorP82bNnSE5O1lvGUiiVSsTFxUEIASsri274QpQrWAd0bd9uDyFs0KjRa/z/8koWrl8/1d8Z369Xr6wQF+eEp08zn+qBdYAKO9YBKuxYBwqOVyZM72TRCYVn/5+o/MGDB6hbty62b9+u+XD6+fnB29sbHTp0wEcffYTIyEiUKFFC81Tf2toatra2everTgTExcVplqnLAYCDul2ugXLqsur/q8saKmdtbQ25XA6FQqF1zDd98803GDt2rFZMZcuWhbu7O4oWLWqwnCVQKpWQyWRwd3fnBYQKJdYBbRERwK5dMmzbJmBj45h1AbJYSiVgZSWDh4f+77j/tmMdoMKNdYAKO9aBgkPf2IWGWHRCITExUfPvESNG6Hww27dvjypVquDWrVtYs2aNZnaF/Eoul0Mul+sst7KyyheVUiaT5ZtYiXID64DK69fAqFHAb78BdnYyqcOhHLK3B1JTVUmFrLAOUGHHOkCFHetAwWDK+2fR73TGJ/7Vq1fXu42/vz8A4K+//gIAzZP89PR0pKam6i2jTlRkHEAxYwuApKSkTMsZKmuoXHp6umZsBH2DNhIRFRRCAJ98opoe0kAvMMpnOMsDERERGWLRCQX1mAUAUFw9itcbihQpAkA14CEAVKxYUbMuJiZGb5no6GidbZ2dneHh4WFUOU9PT63uD+r9GCqXcXnGYxIRFTQLFwK1agHvvCN1JGQudnZMKBAREZF+Fp1QqFu3rubfT5480buNenmxYsUAAFWqVNG0Arhx44beMurl9evX11reoEGDXC3n6uqKSpUq6d2GiCi/O3MGOH4c+PxzqSMhc7KxAdLSpI6CiIiILJFFJxSqVauGKlWqAAD+/vtvvdtEREQAABo3bgxANQBi9+7dAQCHDh3S2T4uLg5nz56FlZUVAgMDtdb17NnTYDkAOHjwoNZ2aoGBgbCyssL58+f1DrqoLte9e3dYW1vr3TcRUX72/DkQHAwsXQrIOGxCgcL3k4iIiAyx6IQCAIwfPx4AsHjxYqS98Yhkz549uH37Ntzc3NC/f3/N8uDgYNjZ2WHVqlU6P/AXLlwIhUKBAQMGoHz58lrr+vTpgypVqiA8PBynTp3SWnfq1CmcOXMGVatWRZ8+fbTWeXt7o3///lAoFFi0aJHWutjYWKxcuRJ2dnYIDg7O3otARGTB0tOBwYOBuXMBV1epo6HC4OxZ1XgdREREJC2LTyj069cPgwcPRkREBLp3746zZ8/i/v37CA0NRf/+/VG0aFFs2bIFrhnuYitVqoSQkBA8f/4c7du3x8mTJ3H37l3Mnj0bkyZNgr+/P37++WedY9na2iIsLAzFixdHYGAgtm7dinv37mHr1q0IDAxE8eLFsWXLFtjY6E6OMW/ePPj7+2PixImYPXs27t69i5MnT6J9+/Z4/vw5QkJCOH4CERVI330HvPceULu21JFQbrKUH/BnzgABAUCGcZKJiIhIIhafUACAZcuWYcOGDXj16hVat26NKlWqYNKkSejZsycuXbqE5s2b65Tp27cvTp48CXd3d3Tp0gXVq1dHSEgIJkyYgBMnTmgGc3xTjRo1cPnyZXTu3BmjRo1C1apVMWrUKHTu3BmXL19GjRo19JYrUqQITpw4gYkTJyIkJATVq1fHe++9B3d3d5w4cQJ9+/Y150tCRGQR9u0DHj8GBg6UOhLKTQ4OQHKy1FH817XmvfeAhASpoyEiIiKZEJbyzIHeFB8fDxcXF8TFxWlNa2mJlEolnj59Cg8PD847S4VSYawDDx4AH38M7Nyp+sFJBVdQEPDTT0CJEoa3ye06kJ4OBAYCkycDK1cCY8cC3t5mPwxRthXG7wGijFgHCg5TfofynSYiIpMpFMCQIapBGJlMKPicnIDXr6WNQd21pk4dwNGRLRSIiIgsARMKRERkss8/Bz79FKhQQepIKC84OUn7A37fPuCff1QtJSwhHiIiIlLRHV2QiIgoE+vWqX7Qvfee1JFQXpHyB/yDB8Ds2aquNWr29pYxpgMREVFhxxYKRERktIgIVUJh2jSpI6G85OQETJkCnD+ft8dNSVF1rVmyRLtrjaUMEklERFTYMaFARERGefUK+OwzICQE0DN7LhVgbm5AVBRw82beHvfzz4FPPgHenHWZLRSIiIgsA28JiYgoS0KoxkyYPBnw9JQ6Gspr/foBpUsD167l3TE3bFAlDrp00V3HhAIREZFlYAsFIiLK0i+/ALVrA02bSh0JSUEmAzw8gKdP8+Z4ERFAaCjw/ff61zOhQEREZBmYUCAiokydOQOcOAGMGyd1JCQlLy/VD/x//83d47x+nXXXGiYUiIiILAO7PBARkUHPngHBwcDWraqn1FR4lSihmrYxJgYoXjx3jqHuWjNxIlCqlOHtmFAgIiKyDGyhQEREeqWnA4MHA3PnAq6uUkdDlqBcOSApKff2v2gRUKMG0KxZ5tsxoUBERGQZ2EKBiIj0mjpVNSBe7dpSR0KWwsEh64RCUpKqW0TZsqbtOzwc+PNPYOPGrLdlQoGIiMgyMKFAREQ69u0DoqOBKVOkjoQsSVYJBSGA3r1lSEwEDh0yfr/PnwPffGN81xomFIiIiCwDEwpERKTl/n1g9mxg506pIyFL4+gIJCYaXv/rrw6oUUP1GTKWUqnqWjN7tvFda5hQICIisgwcQ4GIiDQUCmDIEGDpUtXTaKKMMvshf+4ccPy4HJMnC5PGWZg2DejUCahb17Q4cnMsByIiIjIOEwpERKQxbhwwfDhQoYLUkZAlkstVSac3vXgBfPWVDLNmxcHWVjWgpzH27wcePgQ+/ti0ONhCgYiIyDKwywMREWHZMlXTc2dn4L33pI6GLJVcDrx8qb1MqVS1avnpJwFXV2H0vh4+BH76Cdi1y/Q4mFAgIiKyDEwoEBEVcjt3Ap9+Cri7q37kERliZwekpGgvmzEDaNsW8PcHnj41bj8pKapxE5YsyV7XGiYUiIiILAMTCkREhdjdu8DChcC9e4CTE2DDbwXKxJtdHg4dAiIjgeBg1QwPxvryS2DoUKBSpezFYWNjfLcKIiIiyj28dSQiKqSSk4Fhw4Dly4EyZaSOhvIDuVw1GOLVq0CxYqrWCTt3qqZ6NDahsHEjYGsLdOuWu7ESERFR7mNCgYiokBo9GhgzBihfXupIKL+wswN++UU1mKKjI7BokepvY924Afz6K7BjR+7FSERERHmHszwQERVCa9YAHh5A+/ZSR0L5ScmSQL9+wLFjqpkZqlQxvuzr16oZREJC2LWGiIiooOBXOhFRIXP5MrB1q+oPkSnKlAF+/FHVuqVUKePLCaFKJkyYYFo5IiIismxsoUBEVEj8/TcQF6f6MRgSAlhbSx0R5VdZJQVsbYE7d/77/5IlQLVqQPPmuRoWERER5TG2UCAiKgS2b1cNgterFzB9umqKSKLc4ugI1KgBvHypGsDx8GHVYIxERERUsDChQERUwEVGqp4QlygB1K4NNGokdURU0A0YoJqG9K+/gClTgLAwwIptIomIiAocJhSIiAqwpCTV1JArVgDOzqqp/ohyW8uWwKNHqi4OFy7wc0dERFRQMaFARFSAjRwJfPEFUK6c1JFQYdO5s2rgz7p1c+8YQgAyWe7tn4iIiDLHBohERAXUypWqUfnbtJE6EiqMihdXjduRW+Ry4PffVWM0EBERkTSYUCAiKoAuXQJ27VJN00dUEN2+DXzwgapLBREREUmDXR6IiAqY2Fhg7Fhg0yYOhEcF1+LFQFSUaipUIiIikgYTCkREBYgQwNChwIwZqlkdiAqqRo2AlBTg8WOpIyEiIiq8+OyKiKgAmTULaNoUePttqSMhyn1OTkBCgtRREBERFV5soUBEVEAcOwZcuQKsWSN1JER5w9ERSEyUOgoiIqLCiwkFIqICICYGmDoV2L6d0+hR4WFvDyQnSx0FERFR4cUuD0RE+VxaGjBoELBgAeDsLHU0RHnH3h5QKKSOgoiIqPDKFwmF1atXQyaTZfrn0qVLesuGh4eja9eucHd3h4ODA/z8/DBt2jQosrgDiY6OxrBhw1CuXDnI5XKUK1cOw4YNw+MsRn9SKBSYPn06/Pz84ODgAHd3d3Tt2hXh4eHZPX0iokx9+y3w4YdAtWpSR0KUt9hCgYiISFr5psuDg4MDypUrZ3C9vb29zrJ169ahX79+qF+/PrZu3QovLy9s374dX3/9NXbu3InDhw/DWc/jvIiICLzzzjuwtbXFL7/8gnr16uHChQsYPnw4tmzZgmPHjqF69eo65V6/fo0WLVrg4sWL+OGHH9C1a1c8fvwYX375JQICAvDrr7/igw8+yNkLQUSUwc6dqkHp+vSROhKivMeEAhERkbTyTUKhQYMGOHr0qNHbR0ZGIigoCG5ubti7dy9cXV0BAOPGjYNCocD48eMxZswYLF++XKtcWloaAgMD8eLFC5w8eRKNGzcGAPj4+MDT0xNNmjRBjx49cPnyZdjYaL98o0ePxtmzZzF9+nSMGzcOAFCxYkXs3bsXVatWRVBQEBo2bIgKFSpk/4UgokIrIQGwsgIcHFT/v3sXWLQI2LFD2riIpCKXM6FAREQkpXzR5SE7vv/+eygUCgwcOFCTTFAbPnw45HI5Vq5ciQcPHmitW79+PW7cuIG3335bk0xQCwgIQMOGDXH9+nVs3LhRa939+/exatUqyOVyDB8+XGudq6srgoKCoFAoMGPGDPOdJBEVGunpgJ8fMG+e6v/JycCwYcCyZaofVUSFkbW1qm5Q5lJTgQsXpI6CiIgKogKZUEhPT8fWrVsBAC1bttRZ7+Ligvr160OpVGLLli1a6zZv3mywHAC0atUKAHQSCmFhYVAqlfD394eLi4vBcmFhYUjn3Q8RmWjqVKBLl/+exo4aBYwbB2TSE4yIsiAEEB8vdRS5LzgYeOcdqaMgIqKCKN8kFF69eoWpU6firbfegoeHB0qXLo2WLVtiyZIlSElJ0dr21q1biI2NBQD4+vrq3Z96+dmzZ7WWqwdPzK1yL1++xJ07d/RuQ0Skz759qmkhR48G/v0XWL0aKFUKaNtW6siIpKdQqJ7AZ8eKFYC3t1nDsTjbtgEpKcC770odCRERFUT5ZgyFCxcuwMPDA1OmTIGPjw+io6OxaNEifPLJJ1i5ciX++OMPFCtWDIBq/AQ1T09PvfsrVaqUzravX7/G06dPjSoXExODxMREODo6au3HULmMyyMjI1G1alWdbRQKhdbsE/H/f2yiVCqhVCr17tdSKJVKCCEsPk6i3JJbdeD+fWD2bBl27BBITgaOHpXh/n1gyxYBVjeyJFJ9Dxw4YIVNm5QmD0x64QKwe7cMjRoBSqXIneAkducOsGSJ6vrRo4eswJ6npeC9EBV2rAMFhynvYb5IKFSvXh2zZs3SDHSoXtayZUu899572LVrF4KCgrBt2zYA//0Qt7a2hq2trd59qhMBcXFxmmXxGdo9OqhHPTNQTl1W/X91WUPlrK2tIZfLoVAotI6Z0YwZMzBlyhSd5c+ePUOyhY86pVQqERcXByEErKzyTcMXIrPJjTqgUAADBxbDjz/GIz4+HUolcOWKJ9avf4IXL/jDgCyLVN8Dc+c6IC5O4OlT478nY2NlGD3aFcuWxWLMGBc8fRqbewFKJCkJGDy4GObMiUNsrBJpaa54/DgWNvnizi9/4r0QFXasAwXHq1evjN42X3ytNGjQAA0aNNC7btKkSdi1axe2b9+O27dvo3Llynkcnfl88803GDt2rOb/8fHxKFu2LNzd3VG0aFEJI8uaUqmETCaDu7s7LyBUKOVGHfjsMxnGjBGoX99NsywtTQmZzN0s+ycyJ6m+B7y9gadPAQ8P474nlUpgxAgZZs0S8PV1h1wug4eHR+4GKYEhQ2QIDhaoW7cEAMDNTQYnJw/oGeaJzIT3QlTYsQ4UHPb29kZvmy8SCpmpXbs2rK2tkZ6ejpMnT6Jy5cqaH9/p6elITU3V20ohMTERALQGUMz4oz0pKUnv8dTlDJU1VC49PV3TnUHfoI0AIJfLIdczXLuVlVW+qJQymSzfxEqUG8xZB9atA4oWBbp0kZkhMqK8IcX3gLMz8OCBakpVY8ycCbRoATRs+F/dsrIqWPVsxQrVgK1t2/53Xvb2QFqazOjXibKH90JU2LEOFAymvH/5/p22sbFBiRKq7Pu///4LAKhYsaJmfUxMjN5y0dHROts6OztrnlJkVc7T01Or+4N6P4bKZVye8ZhERG+KiFAlFL77TupIiCyfoyOQkGDctkePAteuAZ98kqshSerSJWD3buDbb7WX29mpBmckIiIyJ4tPKCQlJWH37t1IMHC3kJaWhufPnwMAXF1dAQBVqlTRtAK4ceOG3nLq5fXr19daru5akVvlXF1dUalSJb3bEBG9egV89hkQEgL2dSYygqMjkKHxoEHR0aok3aJFgCxDgwSZTDV9ZEEQGwuMHQssX67bYkMuV43LQkREZE4Wn1B48uQJOnfurDNNo9qVK1eQnp4OAGjYsCEA1QCI3bt3BwAcOnRIp0xcXBzOnj0LKysrBAYGaq3r2bOnwXIAcPDgQa3t1AIDA2FlZYXz58/rHXRRXa579+6wtrbWf7JEVKgJAXz6KTB5MmBgwhgieoODg2oAwsykpQGDBgG//KLqIpFRQXlyLwQwZAjwww/A/xtuaiko50lERJbF4hMKamvWrNG7/Lv/twlu06YNqlevrlkeHBwMOzs7rFq1SucH/sKFC6FQKDBgwACUL19ea12fPn1QpUoVhIeH49SpU1rrTp06hTNnzqBq1aro88b8VN7e3ujfvz8UCgUWLVqktS42NhYrV66EnZ0dgoODTTtxIio0fvkFqF0baNpU6kiI8g9jEgrBwUC/fkC1avrLW9JESkolsHev6eVmzgSaNQMMjGENuZwJBSIiMj+Lb1BrbW0NmUyG1atXQ6lUYtCgQShXrhyio6OxYMECbNu2DdWrV9dJOFSqVAkhISEYMGAA2rdvj5kzZ6JUqVLYtm0bJk2aBH9/f/z88886x7O1tUVYWBiaNWuGwMBALFy4EPXq1cOFCxcwfPhwFC9eHFu2bIGNnrbI8+bNw+XLlzFx4kTY2dmhW7duiI6Oxueff47nz59j9erVHD+BiPQ6cwY4cQLYsEHqSIjyF0MJhbNngfBwoEwZVVP/Xr30l7e3VyUULGH2g/R04KefgLVrgfbtjS/355/A1auAgWcvAFQtFNjlgYiIzM3iEwply5bFjRs3sG7dOhw8eBBdu3ZFXFwcihQpgurVq2P27NkYNmyY1gCJan379kXlypUxY8YMdOnSBa9fv4aPjw8mTJiAL7/80uB0GDVq1MDly5cxZcoUjBo1Ck+fPoWHhwc6d+6MSZMmoXTp0nrLFSlSBCdOnMDMmTMREhKC8ePHw8nJCQEBAThx4gQaNWpk1teGiAqG589VT1C3btXu201EWdM3hsKLF8BXX6nGJClRAtixw3B5dUJBajdvAr6+wIABQIUKxpeLjgamTlWdY2bXD46hQEREuUEmREEZiqjgiY+Ph4uLC+Li4rSmtLRESqVSk3jhNDFUGGW3DqSnAz16qMZNqF079+Ijym1SfQ8olUD37sD27f/9v0cP1SwHU6aouhKVLWu4/JdfAkFBqh/zUklIAN57D3jnHeDzz4E+fYCdO7Mul5YGdO2q6u6grztHRvPnA9WrA61amSVk0oP3QlTYsQ4UHKb8DrX4FgpERAXZd9+pfkgwmUCUPVZWqiSC2vffq7oL1KuXecsENalbKAgBDB8OjB8PtGihvTyrFkvjxwMffZR1MgEwbqwJIiIiUzF1REQkkX37gMePgYEDpY6EKH9Tt7U8eBCIilLN6GAse3tpf2gvXQpUraqdTHByUrVayMyOHaq4e/c27jhMKBARUW5gQoGISAIPHgCzZwPz5kkdCVHB8OiRasrEBQtMG4tEyukUz54FDh1SjfeQ0fHjmXd5iIwEFi8GZs0y/lgODsCVK8AHH2QvViIiIn3Y5YGIKI+lpKjmi1+yRHWTT0Q5k5oKDB4MLFqkGqTRFFJNp6geODIsTNVtI6O5cw23JkhKAoYNA1asUCVDjOXgACxfDlSunP2YiYiI3sQWCkREeezzz4FPPgE4iyyReRw5okooVKlielkpWigolap4Z88GihXTXZ9Zl4dRo1TXkHLlTDtmvXqqVg/Fi5seLxERkSFsoUBElIc2bFA9KezSRepIiAqOp08BF5fslZUioTBtGtCxI1C3rv71Dg76B4pctQrw8gLatjX9mJ6eqj9ERETmxIQCEVEeiYgA1q79b3o7IjKP7CYTAFVCQaEwXyxZ2b8fePgQmDjR8Db6Zp64dEk1EGNYWK6GR0REZBImFIiI8sDr18Bnn6kSCja88hJZDDu7vJv94MEDYObMzAdcBHQTCrGxwNixwKZNgLV1roZIRERkEo6hQESUy4QAPv1U9USyVCmpoyGijPJqUEZTBmPNmFAQAhg6FPj+e6BEidyPk4iIyBRMKBAR5bJFi4AaNYBmzaSOhIjelFdjKJgyGGvGhMLs2UCTJkDDhuaJQwjz7IeIiAhglwciIrPRd6MeHg4cO6YajJGILE9eJBTWrVNNZ2nsYKz29qpuGMeOAX//Dfz6q/lisbIC0tPZdYKIiMyDLRSIiMwgPR3o29cV58//t+z5c+Cbb4ClSwGZTLrYiMgw9aCMv/6aO4mFiAhVQmHaNOPL2NsD9+4BU6aoWjiZ8/phawukpppvf0REVLgxoUBEZAbTpwNKpQw3b6r+n57+3zzzrq6ShkZEmZDLVbMnfPop8Pix/m127gR+/tn0fb96pRqMNSTEtMFYHRyAkyeB+fOBIkVMP25mmFAgIiJzYkKBiCiH/vgDePRIhiFDEvDypWrZ9OlAp06G55knIsvg5AQolcCoUcCzZ7rrHz8GvvgCuHjRtP0KoRozYfJkwNPTtLL29sDVq4Cfn2nljMGEAhERmRMTCkREOfDgATBrFjBvnoCTk8Dr1//NM//xx1JHR0RZqVYNOHECKF1aN6GQmqpqabRqlWrsAVMsWKBKKDZtmr24fHyyVy4rTCgQEZE5cVBGIqJsenMaOCcngevXZTh8OOt55onIMshkqu4I7u66CYXgYKBfP6BOHdUgicY6dQo4fVo1doKlsbUF0tKkjoKIiAoKJhSIiLIp4zRwSqUqobBjB3D+fNbzzBORZXF3B86d++//27apkoa9eqnqt3oax6w8fQp8+y2wfbtlDsbKFgpERGROTCgQEWXDhg2qpEHGaeDKlEnH8eMClSpZ4K8IIsqUu7tqZhYAuHNHNTuLuqWRlZX+aWHfpB6Mdd48oGjR3Is1J2xsmFAgIiLzYUKBiMhI8fHA7duqREJoqGpk+IysrYEaNaSJjYhypkQJVZeHpCRVy6OVK1VTSppi0iSgRw+gZs3cidEc2EKBiIjMiQkFIiIjvHwJDBumuhGPiwPWrjVtGjgismxubsCLF8DIkcCXXwJly2qvz6qFwu+/A//+C/Ttm3sxmgMTCkREZE6c5YGIKAuPHgHFi6ueOv7xBzBxIlCqlNRREZE52dioWh2VLQu0bm1a2agoVTeHOXNyJzZzYkKBiIjMic/XiIgykZKi6hN99SpQvTrQsydQtarUURFRbpgzBxg1yrQyycnA0KHAsmWAvX3uxGVOTCgQEZE5mdRCYerUqUhMTMytWIiILM5XX6kSCn5+qhHbmUwgKrjGjFENwKiPesaGy5e1uz+MHq364+2dy8GZCRMKRERkTiYlFKZMmYKEhITcioWIyKJs3qz6cdG9u9SREJElOHECaNQIiIlR/X/NGsDDA+jQQdq4TMGEAhERmZNJXR6EEGjXrh06dOiAdu3aoVGjRrAylMonIsrHbt4EVq9WzSVPRPTggWoWh/HjgUuXVDNCbN2q+pOfMKFARETmZPIYCr169UJ4eDgWLFgAKysrtGrVCu3atUO7du3g5eWVGzESEeWphARg+HDg119VN99ERCVLAgsXqlonbNsGXLgAbNyomi42P2FCgYiIzMnk5gUDBgxAWFgYXrx4ge3bt6Ny5cpYuHAhypYti9q1a+Prr7/G0aNHkZaWlhvxEhHlKiFUyYTx4wHmSIlIbd8+oGJF4K23gCVLgO+/B9zdpY7KdEwoEBGROZmUUIiKioL7/789ra2t8c4772D69Ok4f/48oqOj8fnnn+Phw4d4//334ebmhm7dumHZsmV48OBBrgRPRGRuS5eqBl58912pIyEiSySXAxERQMOGUkeSPUwoEBGROZmUUChfvjxk6mGO3+Dh4YG+ffvit99+w5MnT3Dw4EHY2dnhk08+gY+PD/z8/MwSMBFRbjl3Djh4UDWzAxGRIeXKSR1B9jGhQERE5mTyGAqZSUpKwsGDB7F3717s3bsXDx48gPj/3Eo3btww56GIiMzqxQvgiy9UA6xxrFkiKqhsbQHOAE5EROaS44TCrVu3sGfPHuzduxfHjh1DSkoKANWMEDKZDG+99Rbat2+P9u3b5zhYIqLcoFQCQ4YAs2YBxYpJHQ0RUe5hCwUiIjInkxMKycnJOHLkiCaJEBUVBQCalgjFixdHmzZt0KFDB7Rt21Yz5gIRkaWaMQNo2xbw95c6EiKi3MWEAhERmZNJCYUOHTrgzz//RHJysiaBIJPJ4O/vr2mF0KBBA1ixvTAR5ROHDgGRkUBwsNSREBHlPiYUiIjInExKKOzbtw+AKonQqVMnvP/++2yFQET51j//qFon7NwJGBhvloioQLG1BTizNxERmYtJTQk2bdqEgQMHwtPTE/v378eaNWsQGhqa5wMujhkzBjKZDN7e3nl6XCIqOF69Avr0ARYtAhwdpY6GiChvsIUCERGZk0kJhR49emDFihX4559/EB4ejpYtW2L79u2oWbMmvL29MWzYMOzYsQMJCQm5FS/Cw8Mxf/58o7ft2rUr3N3d4eDgAD8/P0ybNg0KhSLTctHR0Rg2bBjKlSsHuVyOcuXKYdiwYXj8+HGm5RQKBaZPnw4/Pz84ODjA3d0dXbt2RXh4uNHnR0S5Twjgk0+A6dOBKlWkjoaIKO8woUBEROaU7cEOateuja+//hrHjh3D8+fPMXPmTKSmpuLTTz+Fm5sbWrZsiVmzZuHatWtmCzYlJQUff/wxypQpk+W269atQ0BAAJ48eYKtW7fi6tWrCAoKwpQpU9C0aVO8fv1ab7mIiAjUrFkTO3bswNy5c3Hjxg3MnTsX27dvR61atRAREaG33OvXr9G0aVNMnjwZQUFBuHr1KrZu3YonT54gICAA69aty9G5E5H5LFgA1K0LNG0qdSRERHmLCQUiIjIns4ye6OLigp49e2paL5w5cwatWrXCli1bUKtWLZQrVw5Dhw7N8XG+//57/PPPP/jhhx8y3S4yMhJBQUFwc3PD3r170bRpU1SsWBHjxo3DlClTcPbsWYwZM0anXFpaGgIDA/HixQuEhYUhMDAQPj4+CAwMRFhYGF68eIEePXogTU/nw9GjR+Ps2bOYMmUKxo0bh4oVK6Jp06bYu3cv3NzcEBQUhLt37+b4NSCinDl9WvVn7FipIyEiynvqhMKGDVJHQkREBYHZp2O4f/8+wsPDER4ejuvXrwMAHj16hJCQkBzt99q1a5gxYwZmzZqFUqVKZbrt999/D4VCgYEDB8LV1VVr3fDhwyGXy7Fy5Uo8ePBAa9369etx48YNvP3222jcuLHWuoCAADRs2BDXr1/Hxo0btdbdv38fq1atglwux/Dhw7XWubq6IigoCAqFAjNmzDDxrInInJ49A8aPB5Ys4SCMRFQ42dkBv/yiGkNGqZQ6GiIiyu9MSii0aNECsbGxWstSUlJw4MABjB07FtWrV0eFChXw6aefYufOnXj16hVsbW3RokUL/PTTT9kOUqlU4uOPP0aTJk3w8ccfZ7pteno6tm7dCgBo2bKlznoXFxfUr18fSqUSW7Zs0Vq3efNmg+UAoFWrVgCgk1AICwuDUqmEv78/XFxcDJYLCwtDenp6pvETUe5ITwcGDQJ+/hnQU02JiAoFLy/A3x/o1QtITJQ6GiIiyu9Mmjby6NGjSE1NRWRkJPbu3Yt9+/bh6NGjSEpKAgAIIQAAPj4+aNeuHdq1a4cWLVrAyckpR0HOmzcPly9fxpUrV7Lc9tatW5qkh6+vr95tfH19ceLECZw9e1ZruXrwxMzKAch2uZcvX+LOnTuoWrVqludBROY1eTIQGAjUqiV1JERE0nF0BP78U5VgTUgAnJ2ljoiIiPIzkxIKAPDWW2/h0aNHAP5LINjb26NZs2Zo164d2rdvjypmHDY9KioK3377LaZOnYqKFStmuX1kZKTm356ennq3UXeZyLjt69ev8fTpU6PKxcTEIDExEY7/n2tOvR9D5TIuj4yMNJhQUCgUWjNQxMfHA1C10FBaeLtEpVIJIYTFx0mF0549wLNnMkyZInKtiS/rABV2rAP5i6OjDK9eCbi7Sx1JwcE6QIUd60DBYcp7aHJC4eHDhwCAypUro3379mjXrh2aN28Oe3t7U3dllMGDB6NatWp6B1HUR/0j3NraGra2tnq3UScC4uLidMoBgIODQ6bl1GXV/1eXNVTO2toacrkcCoVC65hvmjFjBqZMmaKz/NmzZ0hOTjZYzhIolUrExcVBCAErK7MPzUGUbQ8fWmPmzKJYs+Yl/p8zzBWsA1TYsQ7kN854+DAZzs66A01T9rAOUGHHOlBwvHr1yuhtTU4ozJw5E927d4ePj4+pRU22YsUK/Pnnnzh37hysra1z/XhS++abbzA2w9Dz8fHxKFu2LNzd3VG0aFEJI8uaUqmETCaDu7s7LyBkMZKTgfHjZVi5UqBcOY9cPRbrABV2rAP5S4kSgIODIzxy99JYqLAOUGHHOlBwmNJYwOSEQt++feGRB98+0dHR+Pzzz/Hll1+idu3aRpdT//BOT09Hamqq3lYKif8fhSjjAIoZf7Crx4QwVM5QWUPl0tPTNV0Z9A3aqCaXyyGXy3WWW1lZ5YtKKZPJ8k2sVDh8/jkwahRQsWLeTOnAOkCFHetA/mFvr5o+km+VebEOUGHHOlAwmPL+mfRO9+/f32Cz/szEx8cjKCjIpDL79+9HbGws5s6dC2dnZ60/7du3BwA8ePBAazkArXEWYmJi9O47OjpaZ1tnZ2dNoiSrcp6enlrdH9T7MVQu43JjxoEgopwLDQWKFwc6dpQ6EiIiyyOXq1pxERER5YRJCYVff/3V4FP4zCQlJWHNmjUmlenevTtu376Ny5cv49KlS1p/QkJCAABeXl5aywGgSpUqmlYAN27c0Ltv9fL69etrLW/QoEGulnN1dUWlSpUMnzQRmcWVK8CWLYCeIUmIiAiqFgoZxoEmIiLKFpO6PAghMGvWLE1rAGO9fv3apO0BoEiRIihSpIjedepZJmxsbHR+oFtbW6N79+5YtWoVDh06hNatW2utj4uLw9mzZ2FlZYXAwECtdT179sTu3btx6NAhTJ8+Xee4Bw8e1GyXUWBgIL788kucP38ecXFxOt0a1OW6d+9eKMaCIJJSfDwwejSwfj3A6kZEpJ9czoQCERHlnMljKMyePdvkgwghIJPlTR9mAAgODsZvv/2GVatW4ZtvvtH6gb9w4UIoFAoEBQWhfPnyWuX69OmD6dOnIzw8HKdOnULjxo01606dOoUzZ86gatWq6NOnj1Y5b29v9O/fH6tWrcKiRYvwzTffaNbFxsZi5cqVsLOzQ3BwcC6dMREBgBDA0KHAd9+BA40REWWCCQUiIjIHkxIK9vb2SE5OhpubG2rUqGF0uZSUFJw5c8bk4N707NkzpKen499//wWgGuxQPT5BxnEUKlWqhJCQEAwYMADt27fHzJkzUapUKWzbtg2TJk2Cv78/fv75Z53929raIiwsDM2aNUNgYCAWLlyIevXq4cKFCxg+fDiKFy+OLVu2wMZG92WbN28eLl++jIkTJ8LOzg7dunXTDCz5/PlzrF69muMnEOWyuXOBhg2BDLlAIiLSQy4HMpnJmoiIyCgmJRSioqLw448/YtmyZbC1tcWECRPQtGnTLMvFxMSgdOnS2Q5SrX79+rh//77m/48ePUKpUqUAAJMmTcLkyZM16/r27YvKlStjxowZ6NKlC16/fg0fHx9MmDABX375pcGpMGrUqIHLly9jypQpGDVqFJ4+fQoPDw907twZkyZNMngeRYoUwYkTJzBz5kyEhIRg/PjxcHJyQkBAAE6cOIFGjRrl+PyJyLATJ4Dz54G1a6WOhIjI8rGFAhERmYNMCCFMLfTs2TPMnDkTixcvhr+/PyZOnIgWLVoY3P7ly5fo3r07jhw5kqNgC5v4+Hi4uLggLi5Oa1pLS6RUKjXJF04TQ3ntyRPggw+A7dsBA0Ov5DrWASrsWAfyl4MHgWvXVFPrknmwDlBhxzpQcJjyOzRb77S7uzt++uknREVFoVGjRujWrRsaN26Mffv26d2+WLFiTCYQUa5ISwMGDQLmz5cumUBElN+whQIREZlDjlJHJUqUwIwZM3Dv3j20bNkSffr0Qf369bFz505zxUdElKkJE4DevQE/P6kjISLKP5hQICIiczBLW5RixYrhu+++w71799CxY0cMGDAAtWvXxpYtW8yxeyIivXbuBF69Aj78UOpIiIjyFyYUiIjIHMzaucXFxQWTJ0/G0aNHER0djV69eiEoKMichyAiAgDcvQssWgRkYyZbIqJCjwkFIiIyB7MmFO7fv48hQ4agQYMGePHiBYQQyMaYj0REmUpOBoYNA5YuVd0UExGRaeRy1bWUiIgoJ8ySULh//z4GDx6MKlWqYMWKFUhJSUGVKlUQGhqKFStWmOMQREQao0YBY8cC5ctLHQkRUf5kb88WCkRElHM2OSl87949TJ8+Hb/++ivS0tIghEDVqlXx7bffok+fPpwuhIjMbtUqoFQpoF07qSMhIsq/2OWBiIjMIVsJhXv37mHatGkIDQ3VSiRMmDABvXv3ZiKBiHLFpUuqgRg53isRUc4woUBEROZg0i//qKgofPzxx6hatSpWrVqF1NRUVKlSBWvXrkVERAQ++OADvcmEly9fokWLFmYLmogKn9hYVTeH5csBa2upoyEiyt+YUCAiInMwqYVC1apVkZ6eDiEEfH19MWHCBPTp0yfLcikpKfjzzz+zHSQRFW5CAEOHAjNmACVKSB0NEVH+Z2MDpKdLHQUREeV3JiUU0tLSIJPJ4ObmhgYNGuDAgQM4cOBAluWSkpKyHSAR0axZQNOmwNtvSx0JERERERGpmTyGQsOGDWFnZ4f79+8bXSYlJcXUwxARAQD+/BO4cgVYs0bqSIiIiIiIKCOTEwrbtm2Dh4eHSWViYmJQunRpUw9FRIVcdDQwdSqwYwcgk0kdDRERERERZWTSoIzly5eHdTZGQ5PL5XjnnXdMLkdEhVdaGjB4MPDLL4Czs9TREBERERHRm0xqoRAVFZWtgxQrVgxHjhzJVlkiKpyCg4G+fYFq1aSOhIioYBJC6giIiCi/M6mFAhFRXti2TTWdWa9eUkdCRERERESGmDyGAhFRbrp9G1i2TDVuAhERERERWS4mFIjIYiQmAp9+CqxaBdjZSR0NEVHBxsFuiYgop9jlgYgsghDAyJHAl18CZcpIHQ0REREREWWFCQUisggrVgDlywOtW0sdCRERERERGYNdHohIchcuAHv3Aps3Sx0JEVHhYW0NHD8OlCwJVKkidTRERJQfsYUCEUnq5Uvg88+B5csBK16RiIjyzOPHwPvvA/v3Sx0JERHlV2yhQESSUSqBIUOAn34CiheXOhoiosLlvfeAmjWBU6ekjoSIiPIrPg8kIsn8+CPQsiXw1ltSR0JEVPiMHw/4+wNxcVJHQkRE+RVbKBCRJA4fBm7dAlaulDoSIqLCy8UFiI2VOgoiIsqvmFAgojz3zz/A998DO3ZwHnQiIik5OQEJCVJHQURE+RW7PBBRnkpNBQYPBhYtUt3IEhGRdGQyQAipoyAiovyKCQUiylNffw0EBXGKMiIiS8GWYkRElF1MKBBRntmyRfV3jx7SxkFERERERDnHMRSIKE/cvKkagHHHDqkjISIiIiIic2BCgYhyXUICMHw4sGYNYGsrdTRERERERGQO7PJARLlKCFUyYfx4oHRpqaMhIiIiIiJzYUKBiHKNUgmUKQNUrAi8+67U0RARkT6c5YGIiLKLXR6IKNdMmwZ8/jkwerTUkRARERERkbkxoUBEuWL/fuDBA2D5ck5JRkRkyWxsgLQ01d9ERESm4FcHEZndw4fATz8BO3cymUBEZOkcHICkJKBIEakjISKi/Mbix1CIiYnBihUr0L17d5QvXx5yuRwODg6oUqUKhg4dilu3bhkse/PmTXz00UcoVaoU7O3tUbFiRXzxxReIi4vL9JhxcXH48ssvUalSJdjb26NUqVL46KOPcPPmzUzLKZVKLFy4EP7+/nByckLx4sXRunVr7Nu3L1vnTpQfpaQAgwcDS5YAjo5SR0NERFmxt1clFIiIiExl8QmFTp06YdCgQShatCjWrVuHW7du4fjx4+jUqROWLVuGunXr4sSJEzrljh49irp16+LcuXNYvXo1rl+/jm+//RZLlixBvXr1EB0drfd40dHRqFevHhYvXozx48fj+vXrWL16Nc6dO4e6devi6NGjesulpaWha9euGDFiBFq3bo2LFy9i//79kMvlaN++PX788UdzvixEFuvzz4Fhw4BKlaSOhIiIjGFvr0oGExERmSpfdHno2LEjVq9erfl/+fLl8dZbb+Hff//FmjVrMHnyZBw8eFCzPjY2Fj179oQQAnv27EGFChUAAD4+PpDL5fjwww/Rr18/HDhwQOdY/fr1w927d/Hbb7/hgw8+0JTbs2cPqlevjp49e+LOnTtwcXHRKvfDDz9g165dGDx4MH744QfN8m3btqFOnTr4+uuvERAQgCZNmpjzpSGyKBs2qG5Mu3aVOhIiIjKWnR2gUEgdBRER5UcW30Lh+++/x6xZs/Su8/f3BwA8ffpUa/mCBQvw/PlzdOnSRZNMUOvduze8vLxw8OBBnDx5Umvd8ePHcfDgQXh5eaF3795a6ypUqIBu3brh+fPn+OWXX7TWJSYm4qeffgIAjB07Vmudra0tRo4cCQCYMmWKMadMlC9FRABr1wLffy91JEREZAq5nAkFIiLKHotPKLRp0wa+vr561505cwYA0Lp1a63lmzdvBgC0bNlSp4yVlRVatGgBANi4caPecs2bN4eVle5L06pVK73l9u3bh1evXsHLy0tvrOpyR44cwbNnz/SeC1F+9uoVMGIEEBLCUcKJiPIbuZxdHoiIKHvy3a1/amoqoqKisHjxYqxbtw7du3fHtGnTNOsTEhJw7do1ADCYiFAvP3v2rNby8PBwo8pdu3YNSUlJcHBwMKpchQoVYGdnh5SUFFy4cAFt27bVu51CoYAiwyOC+Ph4AKrBHpVKpd4ylkKpVEIIYfFxkvkJAXzyiQwTJwp4eACF9SPAOkCFHetA/mVrqxqUkW9dzrAOUGHHOlBwmPIe5quEQp8+fbBx40YIIVCxYkVs374dXbp00domKipK8wJ4enrq3U+pUqUAAJGRkVrL1f/PqpxSqURUVBSqV69uVDmZTIaSJUvi4cOHOsfMaMaMGXq7RTx79gzJyckGy1kCpVKJuLg4CCH0tu6ggmvFCkdUrAj4+ibijd5HhQrrABV2rAP5V2qqI548ScXTp6lSh5KvsQ5QYcc6UHC8evXK6G3zVUJh7ty5mDRpEh48eIC1a9eia9eu6NmzJ5YtWwZXV1cA/z3VB6BpQfAmx//PZffm9JHqslmVe7NsVuUyO2ZG33zzjdYYDPHx8Shbtizc3d1RtGhRg+UsgVKphEwmg7u7Oy8ghcjp08DlyzKsWycgkzlLHY6kWAeosGMdyL/c3FTT/Hp4SB1J/sY6QIUd60DBYW9vb/S2+Sqh4OnpCU9PT/j6+qJNmzZwd3fHnDlzEBUVhTNnzsDa2lrqEHNELpdDLpfrLLeyssoXlVImk+WbWCnnnj0DJkwAtm0DrK1lUodjEVgHqLBjHcif5HIgNRXg25ZzrANU2LEOFAymvH/5+p2ePHky7OzscO7cOezatQsAtJ7kJyUl6S2XmJgIADpTP6rLZlXuzbJZlcvsmET5UXo6MGgQMHcuwI80EVH+xkEZiYgou/J1QqFIkSLw9vYGAJw+fRoA4OPjA5lM9bQ0JiZGb7no6GgAQMWKFbWWq/+fVTkrKyvNcY0pJ4TAkydP9B6TKD+aMgXo3h2oXVvqSIiIKKfs7DhtJBERZY9FJxQeP36MJUuWID093eA2Tk5OAICU/6fWnZyc4OfnBwC4ceOG3jLq5fXr19da3qBBA6PK+fn5aY2nkFW5u3fvIiUlBVZWVqhXr57BcyHKD/bsAZ4+Bfr3lzoSIiIyB7ZQICKi7LLohMKtW7fwySefGJwZITU1Fbdu3QIAVKpUSbO8Z8+eAIBDhw7plFEqlTh8+LDWdm+WO3r0qN6pMg4ePKi3XLt27eDs7IzHjx/rTSqoyzVv3hzu7u56z4UoP7h3T9XN4eefpY6EiIjMRS5nCwUiIsoei04oqC1ZskTv8lmzZiEhIQFOTk4IDAzULP/ss8/g5uaGHTt2ICoqSqvMhg0b8PjxY7Ro0QJNmzbVWvfOO+/g3XffxePHj7Fx40atdXfv3sW2bdvg5uaGzz77TGudk5MTvvjiCwCqmSgySk1Nxfz58wEAkyZNMuGsiSxLcjIwZAiwbBlgwsCvRERk4dRdHpYuVQ3OmBsuXwbWrMmdfRMRkXQsepYHGxtVeD///DP+/fdfDBw4EOXKlcM///yDdevWYcmSJZDL5Vi9ejU8PT015YoVK4ZNmzahY8eOaN++PebPn4/KlSvj6NGjGDlyJLy9vREaGqr3mGvXrkVAQACGDBmC5ORkNG/eHLdv38bIkSMhk8mwadMmzRSVGQUHByM8PBzLli1D8eLFERQUhPj4eEyaNAkRERGYPn063nnnnVx5nYjywtixwKhRgI+P1JEQEZE5yeXA2rWqVmiNGwM1a5p3/3FxwNChgJ8fu8sRERU0Ft1CoUmTJjh//jzGjRuH69evo1u3bqhcuTLatm2LY8eOYcSIEbhy5Qp69OihU7ZFixa4ePEi6tWrh379+sHX1xffffcdhgwZgosXL8LLy0vvMb28vHDx4kUMHToU06ZNg6+vL/r164d69erhwoULaNGihd5yNjY22LlzJ+bPn499+/ahTp06aNmyJZKTk/H7778jODjYrK8NUV4KDQWKFQM6dpQ6EiIiMrciRQAnJ2D0aCA21rz7FgIYNgyYOhXIMFkWEREVEDIhhJA6CNIvPj4eLi4uiIuL05oO0xIplUo8ffoUHh4enHe2gLlyBRg/Hti2DbC2ljoay8U6QIUd60D+JQSgVAILFwLVqwOtWplv33PmADY2wPDhQGAgsH27+fZtaVgHqLBjHSg4TPkdyneaiAyKj1d1cwgJYTKBiKigkslU13h7e9V4OeZy4gRw/jzw2Weq/R87BrRsab79ExGR9Cx6DAUiko4Qqj6v06YBHh5SR0NERLnNnLM9PHkCTJqkapEgk6mWVaoEpKWZZ/9ERGQZ2EKBiPSaOxd4+23VAF1ERFTwyeXmaaGQng4MHgzMn68an0Htr78AC+/BSUREJmILBSLScfy4qpnq2rVSR0JERHnF3h7499+c72fiRKBXL9WsDm9St1YgIqKCgQkFItISE6NqprpjB2/8iIgKE3t7ICkpZ/vYvVs1U8SHH5olJCIisnBMKBCRRlqaqpnqggXazVSJiKjgs7fP2RgKUVGq74+dOw1vw7nFiIgKFiYUiEhjwgSgd2/9zVSJiKhgy8ksD8nJqoF8ly1TjcVARESFAwdlJCIAqidKr16xmSoRUWGVk4TCmDHA6NGAt3fm27ErHRFRwcIWCkSEyEhg4cLMm6kSEVHBlt2EQmgo4OYGdOhg/piIiMiyMaFAVMglJQHDhgEhIWymSkRUmGUnoXDlCrBlC7B1q3HbC6H6w5YKREQFA7s8EBUyly8DL1/+9/9Ro4Bx44Dy5aWLiYiIpGdqQiE+XtXNYflywNrauDJ2dkBqarbCIyIiC8SEAlEh8vgxULu2alovAFi5EvDyAtq1kzYuIiKSnnrayK++As6dy3xbIVSt26ZOBTw8jD+GXJ6zmSSIiMiysMsDUSGRmqqaEvLnn4G4OODSJdWYCWFhUkdGRESWwMEB2L8fcHcH/vkHWLvW8Lbz5gH16wMBAaYdw84OSEnJWZxERGQ52EKBqJAIDgb69VPd/EVGAmPHqsZNMLaZKhERFWx2dkDXrsDx46rEsyEnTwJ//aXq7mAqtlAgIipY2EKBqBDYtk31RKhXL+DePWDpUuDoUaBECakjIyIiSyGTqb4fhPhvmUKhPWDv06fAxImq75XsDKzIhAIRUcHCFgpEBdzt26obxJkzVf8vUwbYswdo0EDauIiIyDLJZKo/t28DlSv/tzw9/b+uc0WLZm/fcjm7PBARFSRMKBAVYImJwCefqEbgtrNTLbOxAZo3lzQsIiKycOophUuX/m9WhsmTgcBAoGbN7O/Xzo4tFIiIChImFIgKsJEjVaN1ly0rdSRERJSfpKUBU6YAVasCr16pWrY9f64aiycn2OWBiKhg4RgKRAXUihVAuXJA69ZSR0JERPnNwYOqQXs3bQIuX1Z1c9i5M+f7ZUKBiKhgYUKBqAC6eBHYvZtTQhIRUfaoZwCSy4E+fYBTpwB7+5zvl9NGEhEVLEwoEBUwsbGqKSE3bwas2KmJiIhywMcH+OEH1d/mwBYKRET/a+/Ow6Kq/j+Av2eAGUY2AUFwX0hU0lS0NFNLrZ9rrpVWlqKWhZb7mrkkmpaplUumuJSaKbhUoqlpipaiVi6IC24pIKjIIsgyc35/3O8Qw8wAAwMzDO/X8/AU955z7+cO9zhzP3MW28KEApEN0WiAd94BFi7kkpBERFR6779v3uMxoUBEZFv4/SWRDfn8c6BTJy4JSURE1onLRhIR2Rb2UCCyEb//Dpw/D2zYYOlIiIiIDOOykUREtoUJBSIbEB8PzJ0L7NoFyGSWjoaIiMgwpRJITbV0FEREZC4c8kBUweXmAiNGAF9/DTg7WzoaIiIi4zjkgYjItjChQFTBzZgBDBkCNGli6UiIiIgKxyEPRES2hQkFogps1y4gMxMYNMjSkRARERWNqzwQEdkWzqFAVEHFxgIrVgC7d1s6EiIiouJhQoGIyLYwoUBUAWVmAqNGAWvXSh/OiIiIKgKFgnMoEBHZEg55IKqAPvgAmDgRqFPH0pEQEREVH3soEBHZFiYUiCqY0FCgZk3g//7P0pEQERGZhgkFIiLbwiEPRBXI339LcyaEhVk6EiIiItNx2UgiItvChAJRBfHwITB+PPDjj4CdnaWjISIiMh2XjSQisi0c8kBUAQgBvPsuMH8+UK2apaMhIiIqGQ55ICKyLVafULh16xY++eQTtG/fHu7u7nBwcED16tXRo0cPbN++vdC6J06cQN++feHl5QWVSoWAgADMmzcPWUW8k8XHx2PUqFGoU6cOlEol6tSpg1GjRiEuLq7QellZWQgJCUFAQABUKhW8vLzQt29fnDhxwuTrJspv8WLgueeAtm0tHQkREVHJccgDEZFtseqEwu+//46GDRsiJCQEnTt3xv79+3Hx4kUsX74cV69exSuvvILXX38dGo1Gr+7mzZvRvn173L17F+Hh4Th//jyCgoIwZ84cdOjQAenp6QbPGR0djWbNmmHXrl1YsmQJYmJisGTJEuzcuRPNmzdHdHS0wXrp6eno0KEDZs+ejaCgIJw/fx7h4eG4e/cu2rdvj82bN5v1taHK48gR4J9/gNGjLR0JERFR6djbAzk5lo6CiIjMxarnUEhOTkZubi6++OILjBkzJm+7n58fnn32WTRu3BhbtmzBCy+8gJEjR+btj42NRVBQEDw9PREREYGqVasCACZMmICsrCzMmDED48aNw7fffqtzvtzcXAwYMAD379/HsWPH8OyzzwIA6tevDx8fHzz33HMYOHAgzp49C3t73Zdu7NixiIqKQkhICCZMmAAAaNiwISIiIuDv74+goCC0bdsWDRo0KIuXimxUQgIwZw6wcycgk1k6GiIiotLhexkRkW2x6h4KAGBnZ4e3335bb3uNGjXQu3dvAMCPP/6os2/+/PnIysrCsGHD8pIJWsHBwVAqlQgNDcWtW7d09m3ZsgUxMTF45pln8pIJWu3bt0fbtm1x8eJFbN26VWffzZs3sW7dOiiVSgQHB+vsq1q1KoKCgpCVlYUFCxaYdO1UueXmAiNGAF9+Cbi4WDoaIiIi8xDC0hEQEZG5WHVCoWfPnnjw4AFcXV0N7q9VqxYA4MGDB3nb1Go1wsPDAQBdunTRq+Pm5oY2bdpAo9HozcGwbds2o/UAoGvXrgCgl1AICwuDRqNBYGAg3NzcjNYLCwuDWq02eGyigj76CHj9dSAgwNKREBERERER6bPqIQ8ODg5wcHAwuj8+Ph4A0KxZs7xtly9fxsOHDwEAjRs3NlivcePGiIyMRFRUlM527eSJhdUDUOJ6ycnJuHr1Kvz9/Q2Wy8rK0pkwMjU1FQCg0WgMzhNhTTQaDYQQVh9nRbF7N5CWJsOgQQJ8SSsGtgGq7NgGqPhk0Ghsr5sC2wBVdmwDtsOUv6FVJxQKk5ubi/379wOAzjCD2NjYvP/38fExWNfX11evbHp6OhITE4tVLyEhARkZGahSpYrOcYzVy789NjbWaEJhwYIFmDNnjt72pKQkPH782GAda6HRaJCSkgIhBORyq+74YvVu3rTD0qWu2LAhGf+7JakCYBugyo5tgIorO7sqEhMfWjoMs2MboMqObcB2pKWlFbtshU0ohIaGIiEhAe+99x7atGmTt137rb6dnZ3R3g3aREBKSopePQBQqVSF1tPW1f6urWusnp2dHZRKJbKysnTOWdC0adMwfvx4nZhq164NLy8vo8M+rIVGo4FMJoOXlxf/ASmFx4+BGTNkWLdOoHZtb0uHQyZgG6DKjm2AikuhkMHb2/be49gGqLJjG7Adjo6OxS5bIRMKV69excSJE9GuXTt88cUXlg7HbJRKJZRKpd52uVxeIRqlTCarMLFaq3HjgAkTgPr1OQ12RcQ2QJUd2wAVh0wGyOW2+T7HNkCVHduAbTDl71fh/tLx8fF46aWX4Ofnh4iICL3sifabfLVajRwjCx1nZGQAgM4Eivl7AGRmZhZaz1hdY/XUanXe3AiGJm0kAoD164Hq1YHu3S0dCRERERERUdEqVEIhLi4OXbp0gbe3Nw4ePGjw4bxhw4Z5/5+QkGDwONrJHPOXdXZ2zut+V1Q9Hx8fneEP2uMYq5d/e/5zEmmdPQvs2AHMmmXpSIiIiMoWl40kIrIdFSahcPPmTXTs2BHe3t44cOAA3N3dDZZr1KhRXqIhJibGYBnt9vxzLwDA008/Xab1qlatCj8/P4NlqPJKSQHGjgXWrAHs7CwdDRERERERUfFUiITClStX0KFDBzRs2BARERFwdnbO23f27Fl069Yt73c7Ozv0798fAHDw4EG9Y6WkpCAqKgpyuRwDBgzQ2ffKK68YrQcABw4c0CmnNWDAAMjlcpw+fdrgpIvaev3794cdnxgpHyGAd98FQkIALy9LR0NERERERFR8Vp9QuHDhAjp27IhWrVph9+7deispPHjwAPv27dPZNn36dCgUCqxbt07vAX/58uXIysrC0KFDUbduXZ19gwcPRqNGjXDixAkcP35cZ9/x48fx559/wt/fH4MHD9bZV69ePbz99tvIysrCihUrdPY9fPgQoaGhUCgUmD59eoleA7JdX3wBtGsn/RAREVUG9vaAWm3pKIiIyBysepWH8+fP44UXXsC9e/dw48YNtG/fXq+MoTUy/fz8sGbNGgwdOhTdu3fHZ599Bl9fX+zYsQOzZs1CYGAgli5dqlfPwcEBYWFh6NSpEwYMGIDly5ejVatWOHPmDIKDg+Hh4YHt27fD3l7/ZVu2bBnOnj2Ljz/+GAqFAv369UN8fDwmTpyIe/fuYf369Zw/gXRERgJnzgDff2/pSIiIiMqPgwOQnQ0YWW2biIgqEKtOKBw4cAD37t0DAPzzzz8m1R0yZAieeOIJLFiwAH369EF6ejrq16+PmTNnYvLkyUbX1nzyySdx9uxZzJkzBx9++CESExPh7e2N3r17Y9asWahZs6bBei4uLoiMjMRnn32GNWvWYMaMGXByckL79u0RGRmJdvwKmvK5e1eagHHnTmn5LCIiospCoQBycphQICKyBTIhONeutUpNTYWbmxtSUlJ0lrW0RhqNJi/5wnVnC5ebC/TrB3z6KRAQYOloyFzYBqiyYxug4ho2DPjsM6BaNUtHYl5sA1TZsQ3YDlOeQ/mXJipnH38MvPYakwlERFQ5aXsoEBFRxceEAlE5+vln4OFD4M03LR0JERGRZSgU0hwKRERU8Vn1HApEtuT6deCrr4Dduy0dCRERkeVoJ2UkIqKKjwkFonLw+DHw7rvA6tWAUmnpaIiIiCyHQx6IiGwHhzwQlYNx44APPwTq1bN0JERERJbFHgpERLaDCQWiMrZxI+DpCfTsaelIiIiILI89FIiIbAeHPBCVoXPngO3bgR07LB0JERGRdeCkjEREtoMJBaIykpoKjB0LbNkC2NlZOhoiIiLr4ODAHgpERLaCQx6IyoAQ0iSMc+cC3t6WjoaIiMh6sIcCEZHtYEKBqAwsXQo8/TTQvr2lIyEiIrIu7KFARGQ7OOSByMyOHQOiooBNmywdCRERkfVhDwUiItvBhAKRGSUmAh9/LE3CKJNZOhoiIiLro1AAERGAXA706WPpaIiIqDQ45IHITNRqYMQIabiDq6uloyEiIrJODg7At99KSQUiIqrYmFAgMpNZs4CBA4FmzSwdCRERkfXq1Ak4dAiwZz9ZIqIKj/+UE5nBL78A9+8Db71l6UiIiIisW/Xq0rDAzExLR0JERKXFhAJRKd24ASxbBuzebelIiIiIKgaVCnj82NJREBFRaTGhQFRCQgBDhwKnTwM//QQ4Olo6IiIioorB0ZE9FIiIbAHnUCAqoRUrgGrVgG++AerXt3Q0REREFYeDA5CTY+koiIiotNhDgagETpwAfv8d2LqVy0MSERGVBN8/iYgqPiYUiEx0/z4wbRoQHs4PQ0REREREVHlxyAORCTQaYMQIYPFioGpVS0dDRERERERkOUwoEJlg3jygVy+gZUtLR0JERERERGRZTCgQFdOvvwK3bgHDh1s6EiIiIiIiIsvjHApExfDvv8CiRcDu3ZaOhIiIiIiIyDqwhwJREbKzgZEjgVWrgCpVLB0NERERERGRdWBCgagIkyYB774L+PlZOhIiIiLbIoTxfampHGZIRGTtmFAgKsTWrYBCAfTrZ+lIiIiIbIuvL3D7tuF9QgCjRgG7dpVvTEREZBrOoUBkREwMsHEjP8wQERGVBXd3IC3N8L5ly4DWrYH09PKNiYiITMMeCkQGpKcDwcHAmjWAPdNuREREZufkBDx6pL/92DHgxAlg3Djp98KGRRARkWXxUYmoACGkZMLMmVJ3TCIiIjI/pVKa+Di/xETp/XfnTkAmAxwdgaws6b9ERGR92EOBqICVK4EmTYDnn7d0JERERLZLodBNKKjV0qpKy5YBrq7SNpUKyMiwTHxERFQ09lAgyufkSeDQIWkyRiIiIio7BRMKs2cDAwYAzZr9t83REXj8uNxDIyKiYmIPBaL/uX8fmDoVWL0akLNlEBERlSmFQhrOAAB79gD37gFvvaVbRqn8r0xpxMYCcXGlPw4REeniYxMRAI1G6ma5eLE06zQRERGVLW0PhZs3gaVLgSVLjJcpjdRUwM8P2LSpdMchIiJ9FSqhcPz4cfj7+0Mmk+HGjRuWDodsSEgI0KMH0LKlpSMhIiKqHBQKadnId94BvvnG8MSLpe2hIAQwahSwYEHJj0FERMZViIRCZmYmJkyYgI4dO+Ly5cvFrnfixAn07dsXXl5eUKlUCAgIwLx585BVxDtTfHw8Ro0ahTp16kCpVKJOnToYNWoU4oroK5eVlYWQkBAEBARApVLBy8sLffv2xYkTJ4odM5W//fuBGzeA4cMtHQkREVHloVAAc+YAY8YA9esbLmNoJQhTLF0KPP000Lkz52IgIioLVp9QiI2NRYsWLRAWFoaIiIhi19u8eTPat2+Pu3fvIjw8HOfPn0dQUBDmzJmDDh06ID093WC96OhoNGvWDLt27cKSJUsQExODJUuWYOfOnWjevDmio6MN1ktPT0eHDh0we/ZsBAUF4fz58wgPD8fdu3fRvn17bN68uUTXT2Xr33+BhQuBr76SlqciIiKi8uHrC4wYAfTqZbxM/nkWTHXsGBAVBXz4obRaRGZmyY5DRETGWf0qDxcuXECXLl2waNEiODs7F6tObGwsgoKC4OnpiYiICFStWhUAMGHCBGRlZWHGjBkYN24cvv32W516ubm5GDBgAO7fv49jx47h2WefBQDUr18fPj4+eO655zBw4ECcPXsW9va6L93YsWMRFRWFkJAQTJgwAQDQsGFDREREwN/fH0FBQWjbti0aNGhQyleEzCU7W5o3YeVKoEoVS0dDRERUubRrJ/0UpqRDHhITgY8/BnbskL4w4GoRRERlw+p7KPTs2RMrVqwodjIBAObPn4+srCwMGzYsL5mgFRwcDKVSidDQUNy6dUtn35YtWxATE4NnnnkmL5mg1b59e7Rt2xYXL17E1gJrCt68eRPr1q2DUqlEcHCwzr6qVasiKCgIWVlZWMABfFZl8mRp3OYTT1g6EiIiIjKkJJMyqtXSFwZLlwKurtI2lYoJBSKismD1CQU7OzuTyqvVaoSHhwMAunTporffzc0Nbdq0gUajwfbt23X2bdu2zWg9AOjatSsA6CUUwsLCoNFoEBgYCDc3N6P1wsLCoFarTboeKhtbtwL29kD//paOhIiIiIwxtYfCjh3A2LHAwIFAs2b/bXd05JAHIqKyYPUJBVNdvnwZDx8+BAA0btzYYBnt9qioKJ3t2skTy6pecnIyrl69WtQlUBmLiQE2buSMz0RERNbOlEkZ//hD+qLg3DlgyBDdfeyhQERUNqx+DgVTxcbG5v2/j4+PwTK+vr56ZdPT05GYmFisegkJCcjIyECV/w281x7HWL3822NjY+Hv72+wXFZWls4KFKmpqQAAjUYDjUZjsI610Gg0EEJYfZyPHgHBwTJs2CBgZwdYebhUgVSUNkBUVtgGqCzY20s9C4q6rZKSgBkzZLhzR6BaNf3yCgWQkSGDRiPKLFa2Aars2AZshyl/Q5tLKGgfwu3s7ODg4GCwjDYRkJKSolcPAFQqVaH1tHW1v2vrGqtnZ2cHpVKJrKwsnXMWtGDBAsyZM0dve1JSEh5beVpdo9EgJSUFQgjI5dbZ8UUIYOxYN7z/fibs7bPxv/wRkVlUhDZAVJbYBqgsPH6sRHKyHImJxscrqNXA8OFVMWNGOuTyXDx4YOxYVZGY+LBsAgXbABHbgO1IS0srdlmbSyhUZNOmTcP48ePzfk9NTUXt2rXh5eUFV+2sQlZKo9FAJpPBy8vLav8BWbkSeOopoF8/paVDIRtUEdoAUVliG6Cy4OUFZGQA3t4uRsvMni3Dq68KvPCCR6HHUihk8Pb2NneIedgGqLJjG7Adjo6OxS5rcwkF7YO3Wq1GTk6OwV4KGRkZAKAzgWL+B/ZMI7P2aOsZq2usnlqtzhvKYGjSRi2lUgmlUv9hVy6XV4hGKZPJrDbWqCjg0CHgxx8BKwyPbIQ1twGi8sA2QOamUgE5Ocbfu/fuBe7eBebOlRV5rAcPALm86HKlwTZAlR3bgG0w5e9nc3/phg0b5v1/QkKCwTLx8fF6ZZ2dnfOy1kXV8/Hx0Rn+oD2OsXr5t+c/J5WP+/elJSK//ZbJBCIiooqksEkZb94EvvgCWLaseMc6flz6TEBEROZjc49XjRo1yusFEBMTY7CMdnubNm10tj/99NNlWq9q1arw8/Mr8hrIfDQaaS3qxYsBd3dLR0NERESmUCgMLxuZlQW88w6wapW0JGRxTJkCxMZKcyoREZF52FxCwc7ODv379wcAHDx4UG9/SkoKoqKiIJfLMWDAAJ19r7zyitF6AHDgwAGdcloDBgyAXC7H6dOnDU66qK3Xv39/2NnZmXhFVBrz5wPduwOtWlk6EiIiIjKVUmk4oTBxIhAcDDRoUPxjeXoCzzwDnDplvviIiCo7m0soAMD06dOhUCiwbt06vQf85cuXIysrC0OHDkXdunV19g0ePBiNGjXCiRMncPz4cZ19x48fx59//gl/f38MHjxYZ1+9evXw9ttvIysrCytWrNDZ9/DhQ4SGhkKhUGD69OlmvEoqyoEDwPXrwIgRlo6EiIiISkKh0B3yoFYDH3wAODkBL79s2rE6dABef53DHoiIzKlCTMqYlJQEtVqtt007+6SPj4/OPj8/P6xZswZDhw5F9+7d8dlnn8HX1xc7duzArFmzEBgYiKVLl+qdx8HBAWFhYejUqRMGDBiA5cuXo1WrVjhz5gyCg4Ph4eGB7du3w95e/2VbtmwZzp49i48//hgKhQL9+vVDfHw8Jk6ciHv37mH9+vWcP6Ec3b4NfPopsHs3ICvb+ZeIiIiojBTsoTBnDhARAVy8aPqx2rYFYmKkVSOIiMg8KkRCoU2bNrh586bONu28BQAgDAyGGzJkCJ544gksWLAAffr0QXp6OurXr4+ZM2di8uTJRpfCePLJJ3H27FnMmTMHH374IRITE+Ht7Y3evXtj1qxZqFmzpsF6Li4uiIyMxGeffYY1a9ZgxowZcHJyQvv27REZGYl27dqV4hUgU2RnS/MmrFgB5Js7k4iIiCqY/JMyRkQAiYnAlSslP16VKkwoEBGZk0wYehonq5Camgo3NzekpKToLGtpjTQaTV7yxdLLxIwbJ3Vr/N9UGkTlwpraAJElsA1QWUhKkiZTzM4GNm0CMjOLPwmjIT//DMTFSRM6mltFagNCsAcnmV9FagNUOFOeQytEDwWi4vrxR2lpSCYTiIiIKj6lEvj1V+DVV4H09NIlEwCph8KjR+aJraKIiAAWLgS0zwRCAFevlmzYCBFRQUwokM24dAlYvx7YtcvSkRAREZE5qFRA797AokWAgSmsSnS8zMzSH6eiuHEDWLIE2LtXNxlj6oSWRETGMKFANuHRI2n5qI0bAQcHS0dDRERE5uDgAKxcab7jVaaEwuPHwLvvAt98U/qeHURExnBwC1V4QkjJhBkzgBo1LB0NERERWSuVSnrQrgzGj5eW2Kxf39KREJEtY0KBKrxvvgEaNQJeeMHSkRAREZE1c3SsHD0UNm4EPD2Bnj0tHQkR2ToOeaAK7dQp4MABaTJGIiIiosJUhiEPZ88CYWFAeLilIyGiyoAJBaqw7t8HJk2S3jC5Mg0REREVxdaHPKSkAGPHAlu3AnZ2lo6GiCoDPoZRhaTRACNHAp9/Dri7WzoaIiIiqghseciDENIkjPPnA15ehZe1twdyc8snLiKybUwoUIW0YAHQrRsQGGjpSIiIiKiicHCw3QfpxYuB9u2Btm2LLmvLiRUiKl9MKFCFc/AgEBsr9VAgIiIiMoVMZukIzO/IEeCff4DRo4tXvjLMJUFE5YNzKFCFcueO1Dth927b/EBAREREZUsIS0dgXvHxwJw5wK5dxf9sZO65JNRqztlAVFkxoUAVRk4OMGIEsGIFUKWKpaMhIiIisiztZ6OvvwacnYtfr7AhD3/9JSUotImXrCxAqTR+LCGAw4eB1NTin5+IbAcTClRhTJkCDB8ONGpk6UiIiIiILG/6dOCtt4AmTUyrpx3yEBMD7N3733YhgJ9+ArZvBzw8in+8l1827fxEZDuYUKAKYds2qRvfwIGWjoSIiIgqsp9+Ak6cAJ55xtKRlE54uNRD4bXXTK/r6AjcugUsXQpMm6Y7XOH1101LJlRGO3cCv/4KJCUZHmaSliZNAKqVmwssWgQ8+WS5hUhUbphQIKt36RKwbp00NpCIiIioNNauBeLigEePACcn0+qq1cCmTVKvAEu6cgX49tuSfzZSqYDx44EdO4BmzUofj4MDkJ0NKBSlP5a127FDmstryhSgXj3DZRQKQJ5v6vvQUOlvxoQC2SKu8kBW7dEj4P33pTfN/JleIiIiopKoVg04eVKacyAnx7S6ISHA3LllE1dxZWQA770nfTYq6QN8s2bAF1+YJ5kASK9lerp5jmXNLl8GVq8GvvkGaNxY6ulh6Ede4AnLxUXqtUBki9hDgayWENLyR9OnAzVrWjoaIiIisgXVqgFr1gCdOwMPHwJeXsWr9+uvwL//Ak2blml4hRICCA6WhinUqlXy47z4ovliAqSeHhkZ5h8qERoqve4FJSZK58w/3CA6WurVWlarTWi/5NqwwfREjouLFDORLWJCgazW6tWAnx/QpYulIyEiIiJb0aIFcOCA9A1/Rkbx6vz7L/DZZ1JX95LMWWAuq1cDTzxhfZ+NqlQp/mtZXL/9Bhw5Ig17LUih0E8cBAUByclSwsjchJCSCTNmlOxLLldXroJBtosJBbJKp05JGelt2ywdCREREdmSKlWAp56S/mts6cT8srOBkSOBlSuluQcs5dQpYP9+4McfLReDMeZOKNy5A8yfL80RUdzXvFo1aZLEskgorFgBBAQAL7xQsvpVq0q9YYpj3z5pKE6vXtLvcXHSUItz5/4r8+KL0pALImvAORTI6jx4AEyeLH1zUHAMGhEREZE5qFTFewieNAkYNUrqNaklRNnFZcj9+9b92cicCYXsbGDECOkh3pRJM015aDfFn38CR49K90FJubtLvSeKEhoqTfo4Zoz0+z//AEOGAL//Dvj7S0kET09g+fKSx0JkbuyhQFZFo5G+BVi0iEsWERERUdnRPgRnZEjJBUPL/23dKnWv79v3v21KpfTQq1SWT5zaz0affy49mFqjKlWkOQbMYdIk4J13gEaNTKvn5gakpEivF2CexEtiojTMITzc8P1RXJ6eQHw88PLL/22LjpaGaUyfLv1++jTw889S79zJk4HevaX77McfpfpaajWwcKG0yoQxmZlS8uH990seM1FxMaFAVmXBAuCll4DWrS0dCREREdmyKlWkXpGenkBYGNCjh+7+mBhg40b9pRmVSuDx4/JLKISESLG1alU+5ysJc/VQ+OEH6XXt18/0um5uwJkz0rf7U6cCw4eXLpbcXKmnxLJl0rFLQ6EAfvpJd1tCAjBzpvT/9+9LiZTt26W5IRYvNn4sOzvgl1+KXjViwgQmFKh8MKFAVuPgQeDq1f8ytURERERlpUoV6ZvgIUOAu3elb4afew7w9ZWWQAwOBr7/HrAv8GnZ0VFKKJT2IbM4fv0VuHkT+Oijsj9XaZijh0J0tPR679xZsvodOkj1BwwA7t0reRw5OdJS5TNnShNwPvlkyY9VGCcn6TVTq6Xkx+LFxe+dW5wVPh4+BGJjgYYNSxUmUZGYUCCroJ18Z/fu0nUpIyIiIiqOGjWkZMLzz0s9JE+eBDZvBnx8pGTCzJlScqEgleq/yRy1D59l4dat/1aWsPbPRp6e0sSBJZWWJi0VvnmzfgKnuOrWlYYnxMRIiYA6dUw/xrVrwNdfA6tWSUmlN94oWSzFoe3VMWsW0L8/0LKleY//9dfS3B+OjtLKFKtWmff4RFpWOK0LVTY5OdLYQFMn3yEiIiIqqe7d/1sGMC4O+OQTaQjEqlVA06ZSosEQbQ+FH38EXn+9bGLLypLmEVi1yrIrSxSXr680R0BJCCE9+M6dKyVzSqt+fWnYg0xm+o+/P+DsLL3uhQ07MAc7O+Cvv6TJGt96y/zHb9VKWhXkp5+kL+4ePiz/yUSpcmAPBbK4qVOlSWn8/S0dCREREVU29er9t1z1li3St8Zbtxovr1JJY/U3bSq7mCZOBN57r+J0V/f1leYEKImlS6W5s557zjyxKJXS3AclNXIkcOiQNO9BWXvtNWDevLI/T0CANKHn2bNAs2Zlfz6qXJhQIIvavl3Klg4caOlIiIiIqLKSy6VlISMjpeRCYSsEODpK36YfPiw9fJZWly7AsGHAm29Kv2/eLH1L3qdP6Y9dXjw9gRs3TK939Kj0en//vdlDKrHiLO9oLosWlc95Pv0U8PYu3dwSRMYwoUAWc/kysHatNDaQiIiIyJL8/KRvcIsaftmuHdC5s9Q9vzRzGxw/Ln0TnpIizfIPABcuSL0kduwo+XEtQS43/Rv9hARg9mxpEkZrnyPCFlStKg17IDI3zqFA5UYIqfteerrUnfD994E1a8puMiMiIiIiUxRnLqcXXgDati3deW7dkuZI2L9fWpYwPV2amPCDD6TPRiWdmNCSqlQBsrOLV1a7JONXXwEuLmUbF0nc3KTkFZG5MaFA5WblSmDdOuDKFWkm32nTpImQiIiIiCqL7GwpmbBrl7RktpublEwYNQqYMweoXt3SEZaMjw8QEgIsWVJ02enTpSEeTZuWfVwkYQ8FKitMKFC5OHlSGmu4ZIk0i3KDBtKYQSIiIqKKTKOREgRpacUrn3/CRTs7ab6E9evNOzGhJdSvD1y9Cvz8c+HlwsOlVSwGDSqfuEjChAKVlQrYoYoqmvv3pZUcwsOBY8ekN5Hp0y0dFREREVHpLVgA/PIL8NFHRc8j8MMP0ioR+SdcrFYNeOMNYOzYMg2zzE2aJP139Gigd2/deRGys6UhrjExUiKF82eVPw8P6bN4XFzh5dRq4O5d6e+3bZs0CSlRYZhQoDKl0Uhj5BYvljKj3bsD//d/hc+eTERERFQRKBRAbCzw6qtAZmbhCYWLF6WlJgtOuOjsLH1OshVff2183/ffAx07ls+SjKSrfn1piI1GU3TZatWkxND9+xyeTEVjQoHK1Lx5QK9eQMuW0u9yOZMJREREZBs++AAIDJTmDnj8WJoPwZD0dOkBbdOmijnhorlol8Yky/DyKn5ZV1cgNZUJBSoaH+2ozOzfL81iPHy4pSMhIiIiMr+OHaWVIVQqqYeCIUJIK1t9/LE0cSFRRaBNKBAVpRLnSMvO3r17sXjxYpw+fRpZWVnw9/dHUFAQ3n//fcgrydfz//4LLFokzWBMREREZMscHaUeCoasXAk8+STQqVP5xkRUGhUlofDHH8CXX5buGFlZUi+iouaLSE6Wel2X9ny2hgkFM1u4cCGmTp2KXr16Yf/+/XBxccHatWsxZswY/PrrrwgPD4e9jfd10y6HtHKltCYxERERkS3T9lCIj5frdCs/eRL4/XdpMkaiisTVFQgLk+YIKS6NBkhLU8HFxXxDnO/dk1ZQkcullUHyP1s8eADMnAls2VL6Zw4np6LLpKRIQ5dIl20/2Zazo0ePYurUqWjatCnCw8Ph4OAAQEoyJCcn49tvv8XChQsxY8YMC0datiZPlhIKfn6WjoSIiIio7Dk6Sksm9ujhjUOHNHj+eWlCu2nTpIey/CseEFUEL78MeHubVkejAR4+VKNqVfMlFAICpEki4+KAjRt198lkwNq1ps0NURqurlJSgXQxoWBGs2fPBgCMGTMmL5mgNWHCBHz77bdYtGgRxo8fD5VKZYEIy96PP0rLAvXrZ+lIiIiIiMqHTAZ88IEcwcHpiImpgo4dgZEj/1vliqiicXeXVmczhUYDJCZmw9vb/JOwN2kCdOli3mOaSiaT5kQhXZVjQH85SEpKwuHDhwEAXQzc7f7+/qhVqxZSU1MRERFRztGVjytX7LBxowzz51s6EiIiIqLy07o1EBamQefOWUhPl1a56tkTaNHC0pERkTn5+gJPPw3884+lI7EeTCiYyalTp6DRaODg4ICGDRsaLNO4cWMAQFRUVHmGVi4ePQJmzHDF6tUCBTpnEBEREdm0p54C+vYF3NwEdu2S4d9/ucoVkS1avRqYNIkJhfw45MFMYv83Y4mXl5fRlRx8fX11yhaUlZWFrKysvN9T/ze1qkajgUajMWe4ZjdmDPDBB+nw8XGDlYdKVCY0Gg2EEFbfVonKCtsAVXYajQbu7mqkpwNLl2r4eYgqncryPhAQALzzjgzbthW/jhBATg6QlAQsXCgsPnyjKKb8DZlQMBPtw39hcyNU+d/0oylGZvNYsGAB5syZo7c9KSkJj42tRWQlZswQyM19iMTErEqzNCZRfhqNBikpKRBCsA1QpcQ2QJWdRqOBSpWCn35SIy1NjrQ0S0dEVL4qy/uAhwewfXvJ6j5+DNjbA4mJ5o3J3NJM+AeMCQUrMm3aNIwfPz7v99TUVNSuXRteXl5wdXW1YGRFq1ZNg6SkwntoENkyjUYDmUzGNkCVFtsAVXZsA1TZsQ3YDkdHx2KXZULBTLQP/JmZmUbLZGRkAADc3NwM7lcqlVAqlXrb5XJ5hWiUMpmswsRKVBbYBqiyYxugyo5tgCo7tgHbYMrfj39pM9FOxJiUlGR0zEl8fLxOWSIiIiIiIqKKigkFMwkMDIRcLkdOTo7RSRdjYmIAAG3atCnP0IiIiIiIiIjMjgkFM/H29kanTp0AAAcPHtTbf+nSJdy+fRsuLi7o1q1beYdHREREREREZFZMKJjRrFmzAABff/01cnNzdfYtXrwYADBp0qS81R6IiIiIiIiIKiomFMyoU6dOCAkJwYULF9CvXz+cOXMGly9fxtSpU/Htt9+iR48emDZtmqXDJCIiIiIiIio1JhTMbPr06dizZw8yMzPRuXNntGzZEvv27cOyZcuwe/du2NtzYQ0iIiIiIiKq+Ph0Wwa6d++O7t27WzoMIiIiIiIiojLDHgpEREREREREZDImFIiIiIiIiIjIZEwoEBEREREREZHJmFAgIiIiIiIiIpMxoUBEREREREREJmNCgYiIiIiIiIhMxoQCEREREREREZmMCQUiIiIiIiIiMhkTCkRERERERERkMiYUiIiIiIiIiMhk9pYOgIwTQgAAUlNTLRxJ0TQaDdLS0uDo6Ai5nHkqqnzYBqiyYxugyo5tgCo7tgHboX3+1D6PFoYJBSuWlpYGAKhdu7aFIyEiIiIiIqLKJC0tDW5uboWWkYnipB3IIjQaDeLi4uDi4gKZTGbpcAqVmpqK2rVr499//4Wrq6ulwyEqd2wDVNmxDVBlxzZAlR3bgO0QQiAtLQ01atQosrcJeyhYMblcjlq1alk6DJO4urryHxCq1NgGqLJjG6DKjm2AKju2AdtQVM8ELQ5uISIiIiIiIiKTMaFARERERERERCZjQoHMQqlUYtasWVAqlZYOhcgi2AaosmMboMqObYAqO7aByomTMhIRERERERGRydhDgYiIiIiIiIhMxoQCEREREREREZmMCQUiIiIiIiIiMhkTCkRERJXQuHHjIJPJUK9ePUuHQkRERBUUEwpUKnv37sWLL74IDw8PODk5oVWrVvj666+h0WgsHRpRnlu3buGTTz5B+/bt4e7uDgcHB1SvXh09evTA9u3bC6174sQJ9O3bF15eXlCpVAgICMC8efOQlZVVaL34+HiMGjUKderUgVKpRJ06dTBq1CjExcUVWi8rKwshISEICAiASqWCl5cX+vbtixMnTph83UTGnDhxAl9++WWxy7INkK149OgRFixYgDZt2qBq1aqoUqUKGjRogD59+uCbb74xWIdtgGzFjRs3MG7cODRv3hzu7u5wdHSEn58fRo0ahevXrxutd+nSJbz55pvw9fWFo6MjGjZsiEmTJiElJaXQ86WkpGDy5Mnw8/ODo6MjfH198eabb+LSpUuF1tNoNFi+fDkCAwPh5OQEDw8PvPjii9i7d2+JrpvKmCAqoU8//VQAEL169RKnTp0Sly5dEpMnTxYARO/evUVOTo6lQyQShw8fFvb29kKpVIqPPvpIREVFiStXroht27aJJ554QgAQgwcPFmq1Wq/upk2bhJ2dnWjbtq04cuSIuHr1qvj888+Fvb29aNOmjUhLSzN4zgsXLghPT0/h4+Mjtm/fLq5duya2b98uqlevLjw9PcWFCxcM1ktLSxNt2rQR9vb24vPPPxdXr14VR44cEW3bthV2dnZi06ZNZn1tqHLKysoSAQEBok6dOgKAqFu3rtGybANkSy5fvizq1q0rWrduLXbs2CGuXbsmLl68KBYvXiyUSqWoWbOmXh22AbIVBw8eFCqVSjg4OIj58+eLs2fPiosXL4rly5cLV1dX4ezsLP744w+9eocOHRIqlUr4+/uLvXv3imvXronQ0FDh7OwsGjRoIOLi4gyeLy4uTjRo0EA4OzuL0NBQce3aNbF3717h7+8vVCqVOHTokMF6OTk5onfv3gKAmDJlirh06ZKIiooSPXv2FADEp59+as6XhcyACQUqkSNHjggAomnTpiI7O1tn38iRIwUAMW/ePAtFR/SfHTt2CADiyy+/1Nt3584d4eLiIgCI1atX6+y7evWqUCqVwtvbWyQnJ+vsCwkJEQDEiBEj9I6Zk5MjGjduLACIY8eO6eyLjIwUAESTJk0MJtyGDx8uAIiQkBCd7cnJycLb21solUoRGxtb3EsnMmjWrFmiatWqYvPmzYUmFNgGyJakp6eLevXqiTZt2ojMzEy9/SEhIaJly5Y629gGyJY0b95cABAzZszQ27d69WoBQDRv3lxne3JysqhWrZpwdHTUu+82bdokAIiuXbsaPF/Xrl0FAL0kWGxsrFAqlaJatWri4cOHevU++eQTAUCMHDlSZ3t2drZo2rSpACCOHj1arGum8sGEApVI586dBQCxcuVKvX0xMTECgHB1dRUZGRkWiI7oPzt27BB2dnYiJSXF4P7XX3/d4BtiUFBQXna8oIcPHwqlUinkcrm4efOmzr6NGzcKAOKZZ54xeL62bdsKAOL777/X2X7jxg0hl8uFUqk0+AY7depUox9eiYrr/PnzQqFQiDVr1ohDhw4VmlBgGyBbMmPGDAFA7Nu3r9h12AbIlqhUKgFA/Pzzz3r7zp07JwAIAOLevXt52+fOnSsAiNdee02vjlqtFjVq1BAARGRkpM4+7RePNWrUMNgDdNCgQQa/fHz06FHeFz0XL17Uq7dq1apCkxhkGZxDgUyWlJSEw4cPAwC6dOmit9/f3x+1atVCamoqIiIiyjk6Il09e/bEgwcP4OrqanB/rVq1AAAPHjzI26ZWqxEeHg7A8D3u5uaGNm3aQKPR6M3BsG3bNqP1AKBr164AgK1bt+psDwsLg0ajQWBgINzc3IzWCwsLg1qtNnhsosJoNBoMHz4czz33HIYPH15oWbYBsiVqtRqhoaFQKpXo3LlzseuwDZAteeqppwAA0dHRevu022QyGRwdHfO2F3Yvy+XyvPZU8F7W1nv++echl+s/bhprA3v37kVaWhpq1KiBxo0bG6136NAhJCUlGbpMsgAmFMhkp06dgkajgYODAxo2bGiwjPYfgaioqPIMjUiPg4OD0WQCIE2aBQDNmjXL23b58mU8fPgQAAy+oeXfXvAe106aVVb1kpOTcfXqVcMXQ1SIZcuW4ezZs1i9enWRZdkGyJacP38e8fHxqFevHlJTUzFlyhQ0bdoUHh4eaNiwIYYOHYoLFy7o1GEbIFuzcuVK1KxZE/PmzcO2bduQmZmJ7Oxs7N+/H+PHjwcAdOrUCU5OTgCkCUy17aKs7uULFy4gMzOz2PUaNGgAhUIBtVqNM2fOFH3RVC6YUCCTxcbGAgC8vLwMZh0BwNfXV6cskTXKzc3F/v37AQDBwcF52/Pftz4+PgbrGrrH09PTkZiYWKx6CQkJyMjI0DunsXr5t7NdkamuX7+Ojz76CHPnzjWaCM6PbYBsydmzZwEAmZmZCAwMxMWLF7Fy5UocPXoUEydOxM6dOxEYGIiffvoprw7bANmaFi1a4NKlS5g0aRKCgoLg5OQElUqFl156CXfu3MFTTz2F0NDQvPLXr1/PW7XNlDaQ//ei6mk0Gp3VJYqqJ5PJUL16dYPnJMuxt3QAVPGkpqYCAFQqldEyVapUAYAil5MhsqTQ0FAkJCTgvffeQ5s2bfK2a+9xOzs7ODg4GKxr6B7X1gOMtw9tPW1d7e9FtSs7OzsolUpkZWWxXZHJRo4ciSZNmmDcuHHFKs82QLZE2zX61q1baNmyJXbu3Jn3hUhAQADq1auHHj164M0330RsbCyqVavGNkA2Jzk5GUOHDsXPP/+MCRMm4JVXXoFSqcSRI0eQkJCACRMmwN3dPa+8KfdywfuxqHu5YBsobr3CzkmWwx4KRFQpXb16FRMnTkS7du3wxRdfWDocojKzdu1a/P7771i7di3s7OwsHQ5RucvfC2D06NF6vSu7d++ORo0aITU1FRs2bCjv8IjKnBAC3bp1w+7duzF16lQsWrQIbdq0QfPmzTF69GgEBgaiSZMm+OWXXywdKlVATCiQybTj0fOPeSpI++ZtaFIhIkuLj4/HSy+9BD8/P0REROhMQAT8d4+r1Wrk5OQYPIahezz/XA3G2kf+D7aG6hqrp1arkZWVpVePqDDx8fGYOHEiJk+enDchV3GwDZAtyf9tZ9OmTQ2WCQwMBACcPHkSANsA2Zbffvst796eMGGC3v5+/frB1dUVffv2xV9//QXAtHu54P1Y1L1c0jZQ2DnJcphQIJNpx98mJSXlja0qSDvRXXHG6hKVp7i4OHTp0gXe3t44ePCgwTek/PdtQkKCweMYusednZ3h7e1drHo+Pj46Xf60xzFWL/92tisqrl9//RUPHz7EkiVL4OzsrPPTvXt3AFI38PzbAbYBsi3a8doA4OHhYbCMi4sLAKlbOMA2QLbl9OnTAIDq1asbbQONGzdGbm4u1qxZAwCoX78+ZDIZANPaQP7fi6onl8tRr169YtcTQuDu3bsGz0mWw4QCmSwwMBByuRw5OTlGJ0SJiYkBAJ1x6USWdvPmTXTs2BHe3t44cOCAzljB/Bo1apSXaNDeywUZu8effvrpMq1XtWpV+Pn5GSxDVFD//v1x5coVnD17Fn///bfOj/ZDY40aNXS2A2wDZFtatmyZ9//ah5GCtNu17wtsA2SLtAkCQ7RDgW7fvg0AcHJyQkBAAICyu5cDAgJ0kmpF1bt27Rqys7Mhl8vRqlUro9dC5YsJBTKZt7c3OnXqBAA4ePCg3v5Lly7h9u3bcHFxQbdu3co7PCKDrly5gg4dOqBhw4aIiIjI+yYWkGYAz3+v2tnZoX///gAM3+MpKSmIioqCXC7HgAEDdPa98sorRusBwIEDB3TKaQ0YMAByuRynT582ONGQtl7//v05Dp6KzcXFBX5+fgZ/atasCQCwt7fX2Q6wDZBtadKkCRo1agQA+OeffwyWiY6OBgA8++yzANgGyLZo7/+EhASjkxleunQJgO4KC4XdyxqNBr/99ptOuYL1Dh8+bLA3s7E20K1bNzg7OyMuLs5gUkFb7/nnn4eXl5fB6yALEEQlcPjwYQFABAQEiJycHJ19I0eOFADE3LlzLRQdka7z588LHx8f0adPH/H48WO9/YcOHRIF/zm8cuWKUCgUwtvbWzx8+FBnX0hIiAAggoKC9I6VnZ0tGjVqJACIY8eO6ew7duyYACD8/f312o0QQgwbNkwAEPPnz9fZnpycLLy9vYVCoRBXr14t9nUTFUZ739etW9fgfrYBsiUbNmwQAETTpk317r1ffvlFABCenp4iOTk5bzvbANmKR48eierVqxv9fB4RESEACABi3759edsfPHggPD09haOjo7h27ZpOnU2bNgkAonPnzgbP+cILLwgAYvPmzTrbY2NjhVKp1GtvWnPmzBEAxDvvvKOzPTs7WzRt2lQAEL///ntxL53KARMKVGLaN9NevXqJ06dPi0uXLokpU6YIAKJHjx4G3yiJytu5c+dEtWrVBADx1FNPicDAQL0f7Qe/gjZu3Cjkcrlo166diIyMFLGxseLzzz8X9vb2IjAwUKSmpho9p4eHh/Dx8RFhYWHi+vXrIiwsTPj4+AgPDw9x7tw5g/VSU1NFYGCgsLe3F59//rmIjY0VkZGRom3btkIul4uNGzea9bWhyikxMVHEx8eLsLAwAUDUqlVLxMfHi/j4eJGWlqZTlm2AbIn2C4/evXuLkydPihs3boiNGzeKatWqCVdXV3Ho0CG9OmwDZCsOHDggnJychL29vfjkk0/ExYsXxbVr18SaNWuEp6enACDGjBmjV+/gwYPC0dFR+Pv7i3379olr166J0NBQ4ezsLOrVqyfu3Llj8Hx37twR9erVE87OziI0NFRcu3ZN7Nu3T/j7+wtHR0dx8OBBg/VycnJEjx49BAAxdepUcfnyZXHq1CnRs2dPAUCEhISY9XWh0mNCgUplz549okuXLsLNzU1UqVJFtGjRQixbtkzk5uZaOjQiIYQQS5Ysycu6F/VjyB9//CFefvll4enpKZRKpWjcuLGYM2eOyMzMLPS8t2/fFiNHjhS1atUSCoVC1KpVS4wcOVLcvn270HqZmZli7ty5onHjxkKpVAoPDw/Ru3dvcfz48RK/BkT51a1b12gbmDVrll55tgGyJT/88IN4/vnnhZubm1AoFKJ+/frivffe0/v2NT+2AbIVV69eFcHBwaJRo0bC0dFRODg4iBo1aoi+ffuKX375xWi9ixcvisGDB4vq1avntZvx48cb7GGQX3JyspgwYYJo0KCBUCgUonr16mLw4MEiOjq60Hq5ubniyy+/FC1atBBVqlQRbm5uokuXLoXGSJYjE0IIcw+jICIiIiIiIiLbxkkZiYiIiIiIiMhkTCgQERERERERkcmYUCAiIiIiIiIikzGhQEREREREREQmY0KBiIiIiIiIiEzGhAIRERERERERmYwJBSIiIiIiIiIyGRMKRERERERERGQyJhSIiIiIiIiIyGRMKBARERERERGRyZhQICIishLz5s2DTCbL+1m/fr1F4nj8+LFOHPXq1TPLcWfPnm0V10dERETmwYQCERFRMTx48ACzZ89GmzZt4ObmBoVCAV9fX7Rq1QpDhgzBN998g5iYmFKdY9y4cYiPj8err75qpqhLxtHREfHx8Th58qRZjztx4sQiry8kJAQeHh747bffzHpuc7px44ZOYiT/z+HDh3XKFkyimDtJU1wHDhyAh4cHFixYUK7nJSIi28aEAhERURGio6MREBCAL774Ar1798aBAwcQGxuL3377DWPHjsWpU6cwatQoDBw4sFTncXJygo+PD1QqlZkiLzkfHx94eXmZ9ZjOzs5FXt/mzZuRnJyM8PBws57bnGrXrq2XcDl58iTi4+Px7LPP6pTVJlEmTJgAAGjXrh3i4+MRFRVVrjHv2LEDycnJ2LRpU7mel4iIbJu9pQMgIiKydiNHjkRCQgJ++OEHvPbaazr7mjRpgpdeegktW7a0UHS2ZdKkSVi1ahWGDRtm6VCMsrOzg4+PDx4/fpy3zcvLCz4+PnplnZ2d834AQKFQGCxX1oKCgnD69Gm8++675X5uIiKyXUwoEBERFSIlJQXHjx8HAHTv3t1gGR8fH7z22ms4cOBAeYZmk4YOHYqhQ4daOgybExgYiD///NPSYRARkY3hkAciIqJCaDSavP+/c+eO0XIzZ85EWFiYwX0ZGRmYP38+WrRoAScnJ6hUKjRu3BjDhg3Dnj17dM5RUGRkJF544QW4uLjA1dUVvXr1wqVLl4yWv3HjBt555x3UrVsXCoUCXl5e6NGjB/bt22e0zj///IM+ffrA3d0dTk5OaN26NTZs2GC0fLVq1YzOBTB06FCduQJu3Lhh9Dj5HT58WKde/qRCZGSk3r7bt2/j9ddfR7Vq1aBSqdC6dWvs2bOn0NflzTffhLe3NxwdHdGoUSPMnDkTGRkZFp3bIL8HDx5g2rRpaNq0KVQqFdzc3NC+fXusWbMGarVap+yIESP05m6IiIhAp06d4ObmprO9sOszNsdD/h9vb2+9WG/fvo3Ro0ejYcOGcHR0hIeHB7p27WqwDXTt2lXvnli7di2aN28OR0dHVK9eHe+++y7S0tLM+noSEVHZY0KBiIioEO7u7qhRowYA4L333sPdu3cNlvP09IS/v7/e9sTERLRr1w6zZ8/Ga6+9hr/++gunT59GcHAwwsPD0bNnT/z0008Gj3nkyBHMmzcPCxcuxOnTpzFz5kzs3bsXXbp0QXp6ul75yMhItGjRAjt37sT8+fNx4cIFbNmyBcnJyejWrRsWLlyoV+fw4cNo164djh49iiVLluDChQtYtWoVfvnlF8ybN89gXNHR0UYnbFy2bBni4+NRq1Ytg/uNefbZZxEfH4+lS5fq7XvmmWd09t27dw+DBg3CG2+8gaioKHz33Xe4fv06Xn75ZZw6dcpgvK1bt8b27dsxffp0REdHIywsDA8ePEDPnj3zyllibgOtK1euoGXLlvj6668xevRoXLhwAUePHkWLFi0wcuRIvPzyy8jOzs4r/8UXXyA+Ph7t2rUDAGzduhWff/45QkJC8Pfff+OTTz7JK1vUBJuvvvoq4uPjdX4uXbqUNzRDO/+D1h9//IHmzZtj+/bt+OSTTxATE4N9+/bB3d0dAwcOxDvvvKNTftu2bTr3xIIFC3D27Fls3boVf/75J1566SWsXr0aQ4YMKd2LSERE5U8QERFRoVatWiUACABCpVKJN954Q4SFhYnU1NQi63bv3l0AEIsWLdLbt3nzZgFA7NixQ2f722+/LQAId3d3kZ6errOvf//+AoD47rvvdLYnJyeL6tWrCwDijz/+0NmXmZkpfH19hVwuFydPnszbnpGRIWrWrCkAiF27dunUUavVomXLlgKAqFu3rl7s169fN7pPCCHq1q0rAIjr16/r7dNe37p16/T2rVu3TgAQb7/9ttF9AMSxY8d09i1btkwAEMOHD9er16pVKwFALFu2TG9fnz598o5pKu1rYOw685s1a5YAIDp16qS3Lzc3VzRr1kwAEFu2bNHb/8YbbwgAYtKkSXr7OnXqJACImjVriszMTJ19jRo1ynudjP29Zs2aZfC1Hjx4sAAgunbtKjQaTd72hw8fCl9fXwFAHD9+XKeOWq0WHTp0EADE8uXL9Y6pvSdefPFFne05OTnCy8tLABC3bt3Sq0dERNaLPRSIiIiK8O6772L58uXw8PBAZmYmNm3ahAEDBsDT0xOdO3fGihUrkJqaqlfvzJkziIiIgIODA0aNGqW3f+DAgahRowYcHBwMnvfVV1+Fk5OTzrZnnnkGAPD333/rbF+7di3u3r2Ldu3aoW3btjr7HB0dMXToUGg0GqxYsSJv+/bt23Hnzh3UrFkTL7/8sk4duVyO4OBg4y+KBfn7++utpmDsdTl69CjOnDkDhUKB4cOH6x1rzJgxZokpICBAZwLGgj/z5883WnfXrl04d+5c3lwcBY0bNw4A8NVXXyE5OdngMUaOHAlHR0edbZcuXdJ7nQp65513MHv2bJ1t69atw5YtW+Dl5YXvvvsOMpksb9/atWsRHx+Pp59+Oq93hJZcLseHH34IAJg3b57RoTxBQUE6v9vb2yMwMBCANPyGiIgqDiYUiIiIiuH999/Hv//+i++//x4DBw5E1apVkZOTg0OHDiE4OBgNGzbUG7rw66+/AgAaN24MFxcXvWM6ODjgzp07Ot3u8/Pz89Pb5uHhAQB6D5bac7Vu3drgsRo0aAAAOHbsWN6233//HQDyHuYKatKkicHtlmbK66K9xsaNG+slZwDzXeOePXvw999/G/0xlFDSyv+3y//wrtWiRQsoFAo8fvwYR44cMXiMkl5HjRo1dOZVuHz5MsaMGQOZTIb169frrUihjfXpp582eDzt9vj4eJw7d85gGVP+fkREZN24ygMREVExValSBW+88QbeeOMNqNVqHDt2DD/88AM2bNiQN64/OjoadevWBQDcvHkTgLSkYEl4enrqbbO3l966C07Sd+vWLQDAN998g9DQUL162vL5J5a8fft2ofFZYnnD4jD0umh7eRR8XcrrGuvWrVvohI7aB2ZDtPeJockPAWmZSk9PT8THx+eVLaik91h+2dnZGDRoEB49eoSxY8eiR48eJsdavXp1nbJPPfWUXhlT/n5ERGTdmFAgIiIqATs7O3Ts2BEdO3bExIkT0bp1ayQnJ2PLli2YOnWqWc5h6NvqogQHB+P999836ZhCCJPPU5SyOKZWSV6XsozHGpTkNSlo8uTJ+Ouvv9CyZUuDE3iaizliJSIi68AhD0REREWYP38+Tpw4YXR/gwYNMGjQIADQWSZR21MhKSmpTOPLfy4hBPz8/Iz+NGzYMK+OdtZ9Y/ElJCQYPZ+dnR0A498o37t3r0TXYW6lucbyov3bGVtBRK1W4/79+zplze2XX37BsmXL4OTkhB9++AEKhaJEsebfXlaxEhGR9WBCgYiIqAirV6/Gnj17Ci2jnRAvf9fzl156CQAQExODtLQ0vTqZmZno1q0bVq9eXeoYtecytjygEAIvvvgiJk6cmLetU6dOAIDTp08brHPx4kWj53NzcwNgeMx7fHw8MjIyihd4GdNe46VLlwwutVnYNZYX7d8uKirK4ESGf//9N7Kzs+Ho6IiOHTua/fxxcXEYOnQoAGnix0aNGunsX79+fd5rp43VWIJNe//5+vqiWbNmZo+ViIisCxMKRERExbBx40akpKQY3Jeeno4dO3ZAJpOhX79+edtbtWqF7t27IycnB6tWrdKrt379euzbtw8tW7YsdXzDhw+Hj48P/vjjDxw/flxv/6ZNm3DgwAE8//zzedsGDhyImjVrIi4uDrt379Ypr9FosHz5cqPnc3V1Rf369fHo0SPExMTo7DM0h4OldOjQAa1atUJ2drbBuL766isLRKWrT58+ePLJJ5GYmIgtW7bo7V+yZAkAYPTo0XB3dzfruTUaDYYMGZI3B8iwYcP0ygwbNiyvx4n2Pjt16hQiIyP1jrVs2TIAwIwZMyCX82MmEZGt47/0RERERZDJZLhx4wbatm2LdevWITo6Grdv38aZM2ewevVqtG7dGjdu3MDs2bPRqlUrnbrr169Hs2bNMGPGDCxcuBBXrlxBdHQ0PvvsM4wfPx5TpkxBmzZtAEg9FhISEpCZmQkASElJQUJCAtRqNdRqNRISEvKSGgXLurm5ITw8HG5ubujTpw/Wrl2La9eu4fz585g/fz5GjhyJMWPGoFevXnmxqVQqfP/991CpVBg6dCg2bNiAmzdv4vTp0xg0aBBcXV0BIO/cDx480Lk27VwNQ4cOxbFjx3Djxg2sXLkSZ86cQZ06dQBIQw20wwrS09MNXl9mZiays7MNXl96enqR156UlJQ3pKFgWQD47rvv4OnpiSlTpmDZsmV5r8vo0aMLnSzRGO058g+j0F5ndna2TlntNWu/4ddeZ/66dnZ2CAsLQ+3atfOWKL127RrOnTuH4OBgbNq0CT169EBISIjecbXne/Dggd51a+U/X8G/5aefforffvsN7u7uGDNmDM6fP6/3k5/2PnN3d8eAAQOwadMm3Lx5E6dOncKgQYNw9OhRjBgxQmfJ0fz3sfa10sZT2D1PREQVgCAiIqJCxcXFiVWrVonBgweLgIAA4erqKuRyuahSpYpo1KiReOutt0RkZKTR+unp6WLevHmiWbNmQqVSCQ8PD/Hss8+KH374QWg0mrxy69atEwD0fq5fvy6uX79ucN+6det0znXr1i3x/vvvi3r16gmFQiF8fHzE888/L7Zt26Zzrvz+/vtv0bt3b+Hm5iYcHR1F06ZNxaeffiouX76sc65nnnlGp55GoxELFy4UDRo0EA4ODqJWrVpiypQp4vHjx6Ju3bo6dXNycsSsWbOMXsOhQ4cM7ps1a1aR117wXADE22+/rRPrtWvXxOuvvy48PT2FUqkUjRs3FosWLRI5OTkCgJDJZMW+H4zFA0AcOnRIp6yxa65bt67ece/fvy+mTp0q/P39hVKpFC4uLqJdu3Zi9erVIjc3t1jHLXjdQgiD5Tp16iSEEKJevXpGr6XgPZjfrVu3RHBwsKhfv75QKBSiatWqonPnzmLbtm1653/77beNXn9h9zwREVk/mRA2Pu0xERERkRFpaWlwdXWFu7u7Xg8MIiIiKhyHPBAREZFNi4yMxN69ew3ui46OBgA89dRT5RkSERGRTWBCgYiIiGzagQMH8OGHHyInJ0dvn3aFDUOTERIREVHhmFAgIiIim3f58mX0798fR48exa1bt3DmzBkEBwcjNDQUgwYNwpAhQywdIhERUYXDORSIiIjIpt26dQvff/899uzZgxs3biApKQmOjo5o3rw5hg0bhmHDhkEmk1k6TCIiogqHCQUiIiIiIiIiMhmHPBARERERERGRyZhQICIiIiIiIiKTMaFARERERERERCZjQoGIiIiIiIiITMaEAhERERERERGZjAkFIiIiIiIiIjIZEwpEREREREREZDImFIiIiIiIiIjIZP8PoeENXMxfMgQAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'Inv', component= 'LiI_Power_stored', location= 'HO')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_cost = load_results(filename= 'results_cost.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pyomo.contrib.pyros import BoxSet" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "weather_scaled_df = min_max(weather_df)\n", - "demand_scaled_df = min_max(demand_df)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(weather_scaled_df['dni'].values)\n", - "plt.show()\n", - "plt.plot(weather_scaled_df['wind_speed'].values)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
COAST
00.140170
10.135858
20.130485
30.128788
40.133821
......
87550.239524
87560.219831
87570.200798
87580.179219
87590.157870
\n", - "

8760 rows × 1 columns

\n", - "
" - ], - "text/plain": [ - " COAST\n", - "0 0.140170\n", - "1 0.135858\n", - "2 0.130485\n", - "3 0.128788\n", - "4 0.133821\n", - "... ...\n", - "8755 0.239524\n", - "8756 0.219831\n", - "8757 0.200798\n", - "8758 0.179219\n", - "8759 0.157870\n", - "\n", - "[8760 rows x 1 columns]" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "demand_scaled_df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "uncertainty_set = BoxSet(bounds= [(0,1), (0,1), (0,1)])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "uncertainty_set" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "uncertain_parameters = []" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/chance/chance_copy.ipynb b/examples/chance/chance_copy.ipynb deleted file mode 100644 index aa6f5b2c..00000000 --- a/examples/chance/chance_copy.ipynb +++ /dev/null @@ -1,811 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chance constraints" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import modules" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 160, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, min_max\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario, plot_fit\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results, min_max\n", - "from energiapy.fitting.dist import fit\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "import pyomo.environ as pyo\n", - "import scipy\n", - "from pyomo.environ import Constraint\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 161, - "metadata": {}, - "outputs": [], - "source": [ - "demand_df = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_array = demand_df.to_numpy()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 162, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[distfit] >INFO> fit\n", - "[distfit] >INFO> transform\n", - "[distfit] >INFO> [norm ] [0.00 sec] [RSS: 10.7777] [loc=0.333 scale=0.210]\n", - "[distfit] >INFO> [expon ] [0.00 sec] [RSS: 20.2434] [loc=0.000 scale=0.333]\n", - "[distfit] >INFO> [pareto ] [0.01 sec] [RSS: 20.2434] [loc=-67108864.000 scale=67108864.000]\n", - "[distfit] >INFO> [dweibull ] [0.14 sec] [RSS: 7.34855] [loc=0.298 scale=0.174]\n", - "[distfit] >INFO> [t ] [0.84 sec] [RSS: 10.7778] [loc=0.333 scale=0.210]\n", - "[distfit] >INFO> [genextreme] [0.19 sec] [RSS: 1.78151] [loc=0.228 scale=0.150]\n", - "[distfit] >INFO> [gamma ] [0.06 sec] [RSS: 2.24972] [loc=-0.007 scale=0.136]\n", - "[distfit] >INFO> [lognorm ] [0.10 sec] [RSS: 1.76447] [loc=-0.088 scale=0.372]\n", - "[distfit] >INFO> [beta ] [0.29 sec] [RSS: 3.01937] [loc=-0.001 scale=1.932]\n", - "[distfit] >INFO> [uniform ] [0.00 sec] [RSS: 24.5207] [loc=0.000 scale=1.000]\n", - "[distfit] >INFO> [loggamma ] [0.10 sec] [RSS: 10.8876] [loc=-52.354 scale=7.412]\n", - "[distfit] >INFO> Compute confidence intervals [parametric]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The best fitting distribution is {'name': 'lognorm', 'score': 1.7644713975776731, 'loc': -0.08771839576818041, 'scale': 0.37187286115453144, 'arg': (0.5019778668678803,), 'params': (0.5019778668678803, -0.08771839576818041, 0.37187286115453144), 'model': , 'bootstrap_score': 0, 'bootstrap_pass': None, 'color': '#e41a1c', 'CII_min_alpha': 0.07513850564787428, 'CII_max_alpha': 0.7614284543856601}\n" - ] - } - ], - "source": [ - "data = demand_array\n", - "data = min_max(data)\n", - "fit_summary = fit(data)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 163, - "metadata": {}, - "outputs": [], - "source": [ - "mean = fit_summary.loc['norm']['loc']\n", - "sd = fit_summary.loc['norm']['scale']" - ] - }, - { - "cell_type": "code", - "execution_count": 164, - "metadata": {}, - "outputs": [], - "source": [ - "from math import erf, sqrt, pi, exp\n", - "\n", - "def norm_constant(p, mu, sigma):\n", - " x = mu + erf(1 / sqrt(2) * p) * sigma * sqrt(2)\n", - " return 1 / (sigma * sqrt(2 * pi)) * exp(-(x - mu)**2 / (2 * sigma**2))\n", - "\n", - "mu = mean # mean of the normal distribution\n", - "sigma = sd # standard deviation of the normal distribution\n" - ] - }, - { - "cell_type": "code", - "execution_count": 165, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_fit.histogram(data = demand_df)" - ] - }, - { - "cell_type": "code", - "execution_count": 166, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAArsAAAIfCAYAAABw7hR6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACM30lEQVR4nOzdd3hUVf4G8HdKMum9N9IgIaEmECCU0BFEpQiCIFixsiqs/kBWhVVkdS2rgq7KggVUuiC9SA+9JYQUSCE9pPdMytzfHyGRmElIJuXOTN7P8/Bobn0nZ4Z8OTn3HIkgCAKIiIiIiPSQVOwAREREREQdhcUuEREREektFrtEREREpLdY7BIRERGR3mKxS0RERER6i8UuEREREektFrtEREREpLdY7BIRERGR3mKxS0RERER6i8UuEVEnGjZsGCQSSf0fT09Ptcfl5+djwIABcHV1xYULFzo3ZBucO3cOLi4uGDhwIAoKChrs69evX4teuzZ68sknYWFhge+++07sKETUSix2iYg60TvvvIOffvoJU6dObfa4I0eO4NKlS0hPT8ePP/7Yrhm+//57LF++HL/99lu7XhcAfvrpJ2RkZODixYs4cuRIg30ffPBBi157Zzl27BiWL1+O//znP80el5OTgx9++AHFxcX44osvOiccEbUbFrtERJ1o/PjxmDt3Lvr06dPscaNHj0b//v3h5OSExx9/vF0zfP/991ixYkWHFLtz5syBk5MT+vfvj1GjRjXYN2nSpBa99s5y7NgxrFix4r7Frp2dHebOnQszMzO8+OKLnROOiNqNXOwARETUmI2NDS5fvix2jFYbMmQIMjIyxI7R7n766SexIxCRhtizS0RERER6i8UuEREREektFrtE1MC9T8tLJBI8+eSTAIBvv/0WwcHBMDMzg5WVFcaPH4/w8PD7Xq+qqgpr1qxBWFgY7OzsoFAo4O7ujscffxynT59We86TTz7ZKAcA3LhxA/PmzYO7uzvkcnn9vqSkJHh6ejY4fuTIkQCALVu2YPDgwTAzM4Orqysef/xx3Lp1q/5eaWlpeOaZZ+Dq6gpjY2P069cP33//fZu+h3W2bt2KkSNHwtLSEubm5ujfvz8++eQTVFdXN3teU23wVxUVFfj3v/+NQYMGwdLSEgYGBnBxccGDDz6IL7/8EtnZ2Q2Or/seHT9+HADwww8/NLpXUlJSsxk2btyIESNGwNbWtsH3+tixY43Oaen38ejRo5g8eTIcHR1hZGQEPz8/LFu2DCUlJY2OHTx4sNp2rpOZmXnfHHXvrxUrVgAAbt++3eQ5I0eObNUMErdv38arr74Kf39/mJqawsLCAn379sWyZcuQk5Oj9pz2/swRUUMSQRAEsUMQkfbYsGEDAGDlypWIiYnB/PnzIZfLcePGDcyePRsGBgbYsWMHDh48CENDQxw9ehShoaFqr5WamopJkyYhMjISPXv2xLx582BnZ4fIyEisXbsWZWVlWLRoET7++OP6ghYAzpw5g/j4eJw8eRLffvstgNqCaMaMGZg1axb69u2L+Ph4/Oc//0FFRQUSExNx9epVlJSU4Ntvv8XJkycRFhaGCRMmYNu2bXjiiSdQXV2NTZs24cKFC3BwcMDZs2dhaGiIyZMnY9KkSfDw8MD58+exfv16CIKA1atX4+WXX9b4+/jKK69gzZo1kMlkmD9/PgYPHozCwkL88ssvsLGxweDBg/H++++jW7du9QVmc23w14KtqKgIYWFhuHr1KoYOHYpHHnkE1tbWSEpKwvr165Geng5DQ0MkJibCxcUFAPDbb7+hpKSk/rrDhw/HggULGlx36tSpMDU1VZvBzMwMhw4dwpNPPglbW1vs2rULe/bsQVhYGDZt2oRDhw4BAJ544gkAwPr169UW6suXL8eKFSvQrVs3vP3223jzzTfx9NNPw9/fHykpKfjuu++Qnp6O7t274/jx43B2dq4/98CBA8jOzm7QzseOHavfX1FRga1btzabo+79tX37duzYsQN2dnb47LPPGmQMDQ2Ft7c3Dh06hKysrPpj1bVXnU2bNuHJJ59ERUUFHn30UYwZMwbV1dXYtWsXDh06BGtra+zYsQNhYWH3bW9NP3NEpIZARKRGWFiYAEBwdnYWpkyZItTU1NTvU6lUwujRowUAwqhRo9SeX1paKvTs2VMAIIwdO1aoqKhosP/q1auCmZmZAEBYvny52musX79eACAAEHx9fYULFy402P/+++8LAITExMT6bfPnzxcACI6OjsLo0aOFqqqq+n0VFRVCv379BADC/Pnzhblz5wrXrl1rcM2VK1cKAARLS0uhvLy8Rd+rv/r666/rc2/fvr3BvurqamHatGmCvb29AEDo1q1bk9epa4P58+c32rdkyRIBgPDQQw812ldUVFT/vb/3e9OS6zZ1rKurqzB8+PAG35OamhqhR48eQlhYWINz6l77+vXr1V7z3XffFQAIZmZmgpubm3Dz5s0G++/cuSN4enoKAITQ0FBBpVI1ukZdO//13prkaK4NWnrskSNHBKlUKgAQ1q5d22j/P/7xDwGAYGJiIty4cUPtNdr6mSMi9TiMgYialZGRgU8++QRS6Z9/XUgkEsybNw8AcPz4cZSVlTU679///jeio6Mhk8nwzTffQKFQNNjft29fLF68GADw3nvvISEhodkcjzzyCAYMGNBg20MPPVTf4/hXWVlZeO+99yCX/znpjEKhwJw5cwAAv/zyC4yNjRtNg/Xss88CAAoLC3Hy5MlmM6lTXl6Ot956C0DtVFt/nVNWJpNhzZo1jRZcaK0DBw4AqJ3K7K/Mzc2xaNGiNl3/r9LS0rBmzRoYGRnVb5NKpXj11VfxwAMPaHTNkpISvP766/D19W2w3d7eHqtWrQIAhIeHY8uWLZoH7wQqlQoLFiyASqXCyJEj8cwzzzQ6Zvny5fDx8UFZWdl9f2Og6WeOiNRjsUtEzQoMDIS3t3ej7T179gRQ+4M+Pj6+wT5BEPD1118DqB1jqe58APWFZ01NDb755ptmc0yfPr3Rtj59+uD777+HnZ1do32WlpYYMmRIo+09evQAAFRWVqot0hwcHGBlZQUAiI2NbTaTOr///jvy8/MBADNnzlR7jJOTE4YOHdrqa9+rpqYGAHDq1Cm1+6dNm4ZDhw7BycmpTfep06NHD/Tu3bvR9pdeeglLlizR+LqPPvqo2u2PPPJIfWH9ww8/aHz9zrB///76z0Dde/qvZDIZHnvsMQC1Q3Ju3LjR5PU0+cwRUdNY7BJRs7p37652e11BCNT2gt4rKioKWVlZAIDg4OBmr21hYQGgtgBoTt0P+pby8fFpMA64jrm5eYP7q1N3jCa9r/c+dNevX78mjwsMDGz1te9VVyxv2rQJjz76KM6dO9dgv42NDcaOHdugJ7YtWvv9bwkzMzN4eHio3WdsbFz/D5Pw8HAIWvx4yR9//FH//8293+/dd+8447/S5DNHRE1jsUtEzbq3OLyXoaFh/f//dXaBe3udXF1dm71+3cNT9+upqiuKW0rd0AYADQrgpo6p+/Xx/WZNUOfeh5fufbDqr6ytrVt97XstX74cvXr1AgBs27atvgd98eLFOHPmTJuurU5rv/8tcW/xpk7de6OgoABFRUXtfv/20tL3+737mnu/a/KZI6KmsdglombdO26wpe6dMup+PYt1++9XzLQ2h7peXU2Oaa3S0tL6/2/utctksjbdx8HBAefPn8cnn3xSP+Y1MTERn376KUJDQ9G7d28cPny4Tfe4lybvg/u53/fg3u+fumnItEVL3+/37mvu/d4R32uiroyfKCJqd/f2TFVUVDR7bN1+S0vLDs3UWe7tLW7utdeNuW0LY2NjLFq0CDdv3sS5c+ewaNEiODo6AgCuX7+OCRMm1E8Hpo3u9z249/vXVC98U1QqlUaZNNHS9/u9+/Tl/U6kC1jsElG7u/fp+vT09GaPrdvv4+PToZk6y72LDmRkZDR5XN1DbO0lJCQEn3zyCZKTk/Hvf/8bEokEKpUK//jHP9r1Pu3pfmOi694b1tbWjYrDulk2mvp1fmcOe2jp+z0tLa3+//Xl/U6kC1jsElG769mzZ/0sAJcuXWryuFu3btUXJaNGjeqUbB1t2LBh9f9/5cqVJo9r7mn8lvjkk0/qpx+7l6GhIf7+97/Xz3Jw/fr1Rsd0xPANTZSUlCAlJUXtvvLy8vrZMNQtoFA3hripgjkuLu6+92+v78O9793m3u+XL1+u//+/rvxGRB2HxS4RtTuJRIIXX3wRQO1qVYmJiWqP+/nnnwHUjt3860peumry5MmwsbEBgCbnh83KympyyrCW+vLLL7F27dom99c9HKfuITATExMAtUs516moqIC/v3/9PMOdZdu2bWq3//bbb1AqlQCgdhW2upkaEhIS1Pbu7t69+773Vvd9AGqnjPvr/MvNmTBhQn1Pbd17+q9qamqwadMmAMDo0aM7ZHYLIlKPxS4RdYg33ngDPXv2RE1NDV544QVUVlY22B8ZGYmPP/4YAPDOO+80ORevrjEyMsIHH3wAANi7dy9+++23BvtVKhUWLlzYLlNp7dq1CxcvXmy0PT8/H7///jsAYMaMGY32101tlZycXL8tIiICsbGxbX5wrjVkMhk++OCDRguKZGdn1y/MERoaqnaO5QkTJkAikaC8vLxRwZyQkIDt27ff9/5134c7d+7Uj6dVKpU4fPhwfaHdElKpFN9++y2kUin++OMPrF+/vtEx7733Hm7dugUTExOsWbOmxdcmoraT3/8QIupKfvvtN5SUlNTPk5uQkIANGzbA0dER48aNQ2lpKXbs2IGcnJz6cw4dOoTU1FT06dOnvkfM2NgYBw8exMSJE3Hw4EH0798f8+bNg52dHSIjI7F27VqUlpbi9ddfx9tvv90gQ0REBCIiIhpMobVhwwYAtQ8qTZkypVHuQ4cOISsrq75wysrKwoYNG+qPz8rKwqFDhxAdHd3gtdrZ2WHcuHFwdHSsv0fdjAoRERHYsGEDfHx81C5Q0ZTnn38ekZGRWLNmDR599FHMnz8fQ4YMQWFhIX755ReUlpbipZdewhdffIHS0tL6+z700EOwtLSs//qvbQAAc+fOBVD7UNTt27cxdOhQzJ49G/369YOpqSkSExPx008/ITU1FaGhoXjvvfca5ZszZw6++OILhIeH4//+7//g4eGBNWvWQCqVYv78+fXfG3XvAwAN2rlO3ff3XmfOnIFcLq9/7+zduxd5eXmIiIgAALi5ueGxxx5DcHAwFixYAD8/P6SmpuLbb79FWloaunfvji1btqgdbuDl5YWXXnoJa9aswdNPP41Lly6hZ8+eSExMxA8//ID169djzJgxDXJ4e3s3GBJR1+5ZWVmYO3cuxo8fj507dyI/Px9vvvkmgD/fV3WZ722vuvOB2t7an3/+GU8++SSefvpp7Nu3D2PGjEF1dTV27dqFgwcPwsrKCjt27IC/v3+D19JenzkiaoLIyxUTkZbp1q2bAKDRn7CwMEEQBCExMVHtfgDCu+++2+h6SqVSWL16tTB8+HDB2tpaMDQ0FFxdXYVZs2YJp06dUpvh3XffbfIe3bp1U3tOWFhYs8cfPXq0yWsePXpUEAShyf3z58/X6Hu5ZcsWYcSIEYK5ublgYmIi9OzZU3jrrbeE4uJita8xMjKy2Rz3/pVdUVEh/Prrr8KcOXMEf39/wcTERJDJZIKtra0wevRo4dtvvxWqqqqazLZ161YhODhYMDIyEqysrITQ0FDh4MGD9fubeh801c7NfX/r3jt9+/ZV2zabNm0SRo0aJdjY2AiGhoZC9+7dhaVLlwpFRUXNfn9ramqEf//730JAQICgUCgEOzs7YerUqcLVq1fVfh/nzJnT6BrXrl0TJkyYIFhYWAjGxsZCYGCg8OWXXwo1NTWCIDT9vrr3fXOvpKQk4W9/+5vQo0cPwdjYWDA1NRV69eolLF26VLhz547a19HenzkiakgiCFq8LA0RERERURtwzC4RERER6S0Wu0RERESkt1jsEhEREZHeYrFLRERERHqLxS4RERER6S0Wu0RERESkt7iohBoqlQrp6ekwNzfXmjXkiYiIiOhPgiCguLgYLi4ukEqb7r9lsatGeno63N3dxY5BRERERPeRkpICNze3Jvez2FXD3NwcQO03z8LCosPvp1KpkJKSAnd392b/ZULai22o29h+uo9tqPvYhrpNjPYrKiqCu7t7fd3WFBa7atQNXbCwsOi0Ytfc3BwWFhb8gOsotqFuY/vpPrah7mMb6jYx2+9+Q075biIiIiIivcVil4iIiIj0FotdIiIiItJbLHaJiIiISG+x2CUiIiIivcVil4iIiIj0FotdIiIiItJbLHaJiIiISG+x2CUiIiIivcVil4iIiIj0FotdIiIiItJbLHaJiIiISG+x2CUiIiIivcVil4iIiIj0FotdIiIiItJbLHaJiIiISG+x2CUiIiIivSUXOwAR6Z+iskok3ilGWl4p0vJKUVCqRElFNUorqiCRAHKZFAYyKazNFLA3N4K9pTG8HS3Qzd4MhnKZ2PGJiEiPsNglojYrVVbhwq1sXEnIQVRKHlJySzW6jkwqgZeDOYK87RHsY4dAdxsYyPgLKCIi0hyLXSLSSGV1DU7HZOJIZBquJuaiqkbVYL+ztQncbE3hamMKO3MjmBoZwEQhhwRAdY0KymoV8kqUyCkqR0ZBGeIzi1BcXoVbmUW4lVmEzeHxMDOSY3hPZ4zp7YpADxtIJRJxXiwREeksFrtE1Cp3Csvx2/lEHLqWiqLyqvrtbjamGOzniN4eNghws4aFiWGrrisIAu4UliMqJR8X47NxOSEH+aVK7LuSgn1XUuBiY4KpIV4Y39cNRob8q4uIiFqGPzGIqEXS8kqx+XQ8DkWkokYlAADszI0woZ87wgKd4WFnBkkbel4lEgkcrUzgaGWC0b1doRIERN7Ow5HIVJyMzkR6XhnW7I/CD8fiMCXEE9MGe8FUYdBeL4+IiPQUi10ialZBqRI/HY/D3sspUAm1RW4/T1tMHeSFgb72kEk7ZkytVCJBX09b9PW0xYsTAnHoWip2nE9Eel4ZNpy4iV0XkjBrmC8eGtCND7UREVGTWOwSkVo1KhV2nEvCzydvolRZDQAI8bXH7OHdEeBm3alZjA3leHigJx4M7obTMZn44VgsUnNL8e2haOy5lIyXJwYi2Nu+UzMREZFuYLFLRI3cyijEZ7sjcCuzCADg62SBBeMC0NfTVtRcMqkEIwKcMdTfEYeupeKHY3FIyyvFWxvPY0SAM16aEAhrM4WoGYmISLuw2CWietU1Kmw4cRObTsdDJQgwMzLAgnE9Ma6vm1bNhCCTSvFAfw8M7+mMH4/HYdeFJJy4kYFrSbl49cHeGOrvJHZEIiLSEix2iQgAkJFfhlXbryA2vQAAdKKn1NTIAC9OCMS4Pm74eNc1JN4pxj+3XMK4Pm54eWIgjDlrAxFRl8efBESE41Hp+M/uSJRVVsPMSI7XHuyD4QHOYsdqMV9nS3zxzFD8dPwmtoTXzhgRm16Atx8Ngoe9udjxiIhIRFyaiKgLq1EJWHs4Gh9sv4KyymoEulvj6wUjdKrQrWMol+GZMf749/whsDVXIDmnBAv/dxrHotLFjkZERCJisUvURRWXV+HtXy9gy5kEAMCMId7497zBcLA0FjlZ2/T2sMGaZ4ejn6ctKqpqsGr7FfxwLBbC3WnTiIioa2GxS9QFZRaU4fX1p3EpPhsKuRRLp/XHs2N7dticuZ3N2kyBD+YMwowh3gCAn0/ewqrtV6CsqhE5GRERdTb9+MlGRC12K6MQr68PR0puKezMjfDZU6EYGegidqx2J5NK8OzYnlj0UB/IpBIcv5GB/9twFkXllWJHIyKiTsRil6gLuZKYg7//eAZ5JUp42pvjP0+HwsfJUuxYHWpCP3esmjMIZkYGiE4twBs/nEVucYXYsYiIqJOw2CXqIs7dzMLbv1xAeWUN+nra4tMnh8DeQrfH57ZUX09bfDJ/CGzMFEjKLsai78ORnlcqdiwiIuoELHaJuoCT0Rn45+ZLqKpRYUgPR7w/eyBMjQzEjtWpPB3M8dmToXC2NkFmQTn+/uMZpOWy4CUi0ncsdon03IkbGfhg2xVUqwSEBTjjH48GwVAuEzuWKJysTfDpk0PQzd4MucVKvPETC14iIn3HYpdIj52JzcK/dlyBShAwro8b/m9qf8hlXftjb2NmhI+eGNyw4OWQBiIivdW1f+oR6bGL8dlYue0yalQCRvVywet3ZyUgwMpU0aDgfevnC8gvrRI7FhERdQAWu0R6KColDys2X0RVjQrD/J3wxiN9Wej+RV3B62ZjijuF5fj8yG0UlnFaMiIifcNil0jPJN0pxju/XkRltQohvvZYMq2/3iwW0d6sTBVYNXcQ7MyNkFGoxNu/XECpkj28RET6hD8BifTIncJyLPvlPEoqqtDTzQrLHg2GQRcfo3s/DpbG+ODxgTBTyHAzswgrt11BdY1K7FhERNRO+FOQSE+UVlRh2c/nkVNUAQ87M/zzsYEwMuiasy60lrudGRaO6QaFgQyX4rPx5d7rEARB7FhERNQO2lzshoeHw8/PDxKJBElJSe0QiYhaq0alwsptl5GcUwJbcwVWPh4CCxNDsWPpFE9bYyyd2g9SCbD/agp+OXVL7EhERNQONC52y8vLsXjxYowYMQJxcXFtCuHp6QmJRHLfP/369Wt07v3Oee2119qUjUjbCYKANfujcCkhBwoDGf752EA4WHaNldHa26DuDnjpgUAAwA/H4nAsKl3kRERE1FZyTU6Kj4/HpEmToFQqsW/fPowfP77NQZycnGBpaal2X1VVFRISEtCzZ0+1+729vWFgoH41KEdHxzZnI9Jmv51Pwp5LyZAAWDq1P3yd1X+OqGUeGuCJ9PwybD+biE93XYOrjSm683tKRKSzNCp2o6KiMGbMGHz00UcwMzNrlyCrVq3Ck08+qXbf2rVr8dxzz2HhwoVq9x85cgSenp7tkoNIl1xJzMG3h24AAJ4d2xND/PiPu/bw7JieSMkpwYVb2Vi++SK+fGYobMyMxI5FREQa0GgYw4MPPoivvvqq3QrdPn36wM7Orsn9X375JYKCghAaGtou9yPSB5n5Zfhg22WoBGBcHzdMH+wldiS9IZNKsHRqf7jZmiKnqAL/3HIJVZyhgYhIJ2lU7Mpk7fuE965duzB58mS1+44dO4aIiAj87W9/a9d7EumyiqoarNhyCUXlVejhbIm/PdgLEgkXjWhPpkYG+OdjA2FmJEd0agG+OXhD7EhERKQBrZ967Msvv4S9vT1mzZrV5DE7d+7EhAkT4OnpCTs7O/Tt2xeLFi3C7du3OzEpUecQBAFf7IlEQlYRrEwN8faMYBjKOcVYR3C1NcX/TekPAPj94m0ciUgVOREREbWWVhe7ycnJ2LlzJxYsWACFQtHkcR999BEeeeQR7Ny5EwcPHsSsWbPw7bffolevXti3b18nJibqeIciUnEkMg1SCbBsehBnXuhgId0dMGd4dwDA53f/kUFERLpDowfUOstXX30FiUSCF198scljXn/9dSxevBiurq7124KCguDn54fp06dj5syZiImJabD/r5RKJZRKZf3XRUW1P8xUKhVUqo4fp1d3n864F3WMzmrD29nFWL0vCgDwRFgP9HK35vumHdyv/WYP80FsWj4uJuTgvS2X8OUzQ2Gi0Oq/Prsc/j2q+9iGuk2M9mvpvbT2b+vy8nKsXbsW06ZNa7ZQ/fTTT9VunzZtGnr37o3IyEh89dVXWLlyZZPXWLVqFVasWNFoe0pKCszNzVsfvpUEQUB+fn793MCkezqjDSurVVi1LwHKqhr0dDbFYDc5kpOTO+ReXU1L2u/xAbaIzyxEen4ZPt5+AU8ObfrvJep8/HtU97ENdZsY7VdcXNyi47S22N24cSNyc3Pb9GBaUFAQIiMjcfr06WaPW7p0KRYtWlT/dVFREdzd3eHu7g4LCwuN799SKpUKgiDA3d0dUqlWjyyhJnRGG36+5zrSC5SwNjXE2zMHwdqs6aE91Dotbb+3HrXC//10DmcSCjCiTzeMDHTpxJTUHP49qvvYhrpNjPar+038/WhtsVs33djQoUM1voaTkxMAIC8vr9njFAqF2jHBUqm00xqs7l78gOuujmzDo9fTsP9qCiQA/m9qf9hacJxue2tJ+/XpZofHh3fHhhM38eW+KPR0s4GztUknpqTm8O9R3cc21G2d3X4tvY9WvpuOHz+OiIiIJheRqHPmzBnExsY2uT8zMxMAYGVl1Z7xiDpVWm4pPt8TCQCYPdwX/b2anpOaOt7jw30R6G6NMmU1/rXjCqo5/y4RkVbTymL3iy++gJ2dXbPTjQG1ww9WrVrV5P4rV64AAIYMGdKu+Yg6S2V1DT7YfhnllTXo7WGDuSO6ix2py5NJpfi/Kf1gqpAjJq0APx2PEzsSERE1o9OK3f3798PX1xevvPJKs8fdO92YkdH9l+fcs2cPcnJyGm3fuXMnIiIioFAo8MILL2icm0hMPx6Lw63MIlgYG2DJ1P6Q8Vd7WsHRygSvTe4DANh0Oh5Xkxr/HURERNpB45+c2dnZyMzMrB8q0NS2OqtXr0Z8fDzWrFmD3NzcJq/bkunG6sjlcuTk5CAsLAybN29GXFwc4uLi8Pnnn+OJJ56AkZERfvrpJ3h5cRlV0j1RKXnYdjYBAPD65D6ws7j/P/6o84wIcMYD/d0hAPjot6soLKsUOxIREamh8QNqAwcObLRCWUhISP3/C4LQYN/cuXNx8uRJTJgwAba2tmqvWVFRgbVr12Lq1Klwc3O7b4bffvsNW7Zswe+//44333wTGRkZkEqlcHd3x5w5c/Daa6/Bz89Pg1dHJK6Kymp8vOsaVAIwto8rQv2dxI5Earw4PgBRyXlIyS3Fl3sj8Y9Hg8WOREREf6FxsZuUlNSq42fNmnXfMbhGRkZqhyQ0xczMDE899RSeeuqpVmUh0nbr/ohFel4Z7MyN8OKEQLHjUBOMDOX4v6n98bf/ncbJ6EycuJGBEQHOYsciIqJ7cAAgkZa5mpiDnReSAACLHuoDMyMDcQNRs7o7W2LWMB8AwOp911FQqrzPGURE1JlY7BJpkVJlFT75PQIA8GCwB4J97EVORC3x+PDu8HIwR2FZJdbsjxI7DhER3YPFLpEW+fZgNO4UlsPJyhjPje0pdhxqIQOZFIsf7gupRIITNzJw8kaG2JGIiOguFrtEWuL8zTv1q6T9/eG+MDbU2gUOSY3uzpaYNbR2OMOX+65zdgYiIi3BYpdIC5RWVOE/e2qHL0wd7IXe3dTPWELabfZwX3ja1w5n+IrDGYiItAKLXSItsO6PGOQWK+FqY4onR3K6PF1lKJdh8cN9IJVIcCwqHaeiOZyBiEhsLHaJRHYjNR97LiUDAP72YC8oDGQiJ6K26OFihZmh3gBqhzMUcTgDEZGoWOwSiai6RoXPd0dCADCurxv6edqJHYnawZwR3eFhZ4aC0kr8748YseMQEXVpLHaJRLT1TAKSsothaWKIBZx9QW8YymV4bXJvAMD+KymISskTORERUdfFYpdIJGl5pdhw4iYAYMG4nrAwMRQ5EbWnQHcbPNDfHQDwxZ7rqK5RiZyIiKhrYrFLJAJBEPDF3khU1ajQz8sWY3q7ih2JOsAzo/1haWKIpOxibD+XKHYcIqIuicUukQiORKbhamIuDOVS/G1Sb0gkErEjUQewMDGsXxxkw/E4ZBaUiZyIiKjrYbFL1MkKyyrx7aFoALXLzLramIqciDrS2D6u6NPNBspqFb7aHwVBEMSORETUpbDYJepk647EoLCsEt3szfDoEG+x41AHk0gkWDixF+RSCc7dvIMzsVliRyIi6lJY7BJ1opi0Auy/mgIAePXB3jCQ8SPYFXjYm2NGaO1SwmsORKG8slrkREREXQd/0hJ1EpUgYM3+6wBqf7Ud6G4jciLqTLOH+cLZ2gQ5RRX48Xic2HGIiLoMFrtEneTQtVTEpRfCxFCOZ8b4ix2HOpnCQIaXHwgEAPx2Lgm3s4tFTkRE1DWw2CXqBCUVVfjfkdqVtOaM6A4bMyORE5EYBvo6YEgPR6gEAd8cvMGH1YiIOgGLXaJO8NPxOBSWVcLd1hSPhHiKHYdEtGBcTxjIpLiUkIOzcXfEjkNEpPdY7BJ1sKQ7xdh14TYA4MUHAvlQWhfnYmOKaYO9AADfHLqByuoakRMREek3/tQl6kCCIOCrA1FQCQKG+jki2Nte7EikBWYN9YWNmQIZ+WXYwZXViIg6FItdog50MjoT15JqV0pbMD5A7DikJUwUfz6k+PPJW8gtrhA5ERGR/mKxS9RBKqpq8O2hGwCAmaE+cLIyETkRaZPRvV3R09UKFVU1WPdHjNhxiIj0Fotdog6y9UwCsosq4GhpjJl3FxQgqiOVSPDChNqpyA5HpCEmLV/kRERE+onFLlEHyC2uwJbweADAM2P8oTCQiZyItJG/qxXG9XUDAKzZXzu2m4iI2heLXaIO8OOxOFRU1aCnmxVGBDiLHYe02NOj/WBiKEdceiGORKSJHYeISO+w2CVqZwlZRThwNQUAsGBcACQSiciJSJvZmBlh9nBfAMD3R2NRUcWpyIiI2hOLXaJ2JAgCvjscDQHAiABnBLhZix2JdMCUEE84Whojp7iCU5EREbUzFrtE7ehifA4uJ+TAQCbFM6P9xY5DOsJQLsOTo/wAAJtPx6OgVClyIiIi/cFil6id1KgErD1SO4XUIyGecLLmVGPUciN7uaC7syXKKqux4cRNseMQEekNFrtE7eT0rXwk55TAwtgAs4f5ih2HdIxUIsFzY3sCAPZcSkZKTonIiYiI9AOLXaJ2UKqswq5rdwAAc0d0h5mRgciJSBf19bTFoO4OUAkCF5ogImonLHaJ2sGW8EQUV9TA1cYEDwZ3EzsO6bBnxvhDKgHCY7MQmZwndhwiIp3HYpeojXKKKrDjfO0T9E+P9odcxo8Vaa6bvTke6O8BAFh7OBoCF5ogImoT/lQmaqONJ2+isloFH3sTDOnhIHYc0gNPhHWHkYEMMWkFOHEjQ+w4REQ6jcUuURuk5JRg/5XaBSSmBTlyAQlqFzZmRpgxxBsAsP5oLCqrudAEEZGmWOwStcEPx2KhEgQM6u4AXwdONUbtZ/oQb9iYKZCRX4Z9l5PFjkNEpLNY7BJpKDa9ACejMyEBMH9kD7HjkJ4xNpTj8eHdAQA/n7qF8spqkRMREemmNhe74eHh8PPzg0QiQVJSUjtEItINdVNDjenjCi8Hc5HTkD56oL87nK1NUFBayWWEiYg0pHGxW15ejsWLF2PEiBGIi4trU4ikpCRIJJJm//znP/9p8vyMjAy88MIL8PDwgEKhgIeHB1544QWkp6e3KRdRUy4n5OBqYi4MZFI8EcZeXeoYBjIp5t19f209k4Ci8kqRExER6R65JifFx8dj0qRJUCqV2LdvH8aPH98uYfz8/JrcZ2Njo3b7jRs3MGLECBgYGGD16tUICgrC5cuX8fLLL2Pr1q04ceIEAgIC2iUfEYAGE/4/GOwBJysTqFQqkVORvhrZywWbw+OReKcYm0/H49m7q6wREVHLaFTsRkVFYcyYMfjoo49gZmbWbmFiYlq3YlB1dTWmT5+O3NxcnD59GqGhoQAALy8vODk5YdiwYXj00UcREREBuVyjl0rUyKnoTNzMKISxoYzLAlOHk0okeHKUH97ddBE7LyRh6iAv2JobiR2LiEhnaDSM4cEHH8RXX33VroWuJn755RfExMRg0KBB9YVunaFDh2Lw4MGIjo7Gpk2bREpI+qa6RoXvj8YCAB4d7A0rU4XIiagrGNTdAT3drFBZrcLGkzfFjkNEpFM0KnZlMll759DIli1bAABjxoxRu3/s2LEAwGKX2s3Ba6lIyyuFpYkhpg32FjsOdRESiQRPj/YHAOy/koL0vFKRExER6Q6tmnps/fr1CAsLg7u7OxwcHDBw4EC88847yM7OVnv8uXPnAAD+/v5q99dtv3DhQscEpi6lsroGG0/U9qrNHuYLEwWHxlDn6dPNFsE+9qhRCfjpeNseCiYi6kq0qtj98MMP8eyzz2Lv3r34/fffMWbMGHzwwQfo3bs3Ll261ODYkpIS3LlzBwDg5OSk9nrOzs4AgMzMTJSVlXVseNJ7ey8nI6e4AnYWRngw2EPsONQFPTWq9iHeo9fTkZhVJHIaIiLdoBVdUxYWFnjzzTexbNkyWFhY1G8fNGgQHBwcsHjxYjzyyCOIi4uDiUntKlVFRX/+RW9sbKz2unXHAkBhYWGDr++lVCqhVCrrv667tkql6pSn7Ovuwyf6tVdFVQ1+PXULADB7qA/kUkmD9mIb6jZdaT8fR3MM7+mEk9GZWH80FstnBosdSWvoShtS09iGuk2M9mvpvbSi2LWxscGHH36odt9LL72EVatWIS0tDRs3bsRzzz3X7vdftWoVVqxY0Wh7SkoKzM07frEAQRCQn59fP6cwaZ8DUTnIL62ErakB/K1VSE5uuHwr21C36VL7je1uhlMxwLmbd3D8cgy87LhMNaBbbUjqsQ11mxjtV1xc3KLjtKLYbY6RkRECAwNx/PhxnD59ur7YvbcHuLy8XO259w5dsLS0bPIeS5cuxaJFi+q/Lioqgru7O9zd3Rvcp6OoVCoIggB3d3dIpVo1soQAlCmrcXhr7RjJ+aP84e3l1ugYtqFu06X28wAwJqkchyPScDi2GO8FqX9moavRpTYk9diGuk2M9rv3t/zN0fpiF/hzTG5eXl79NjMzMzg4OODOnTvIzMxUe15GRkb9+U0NYQAAhUIBhaLxFFJSqbTTGqzuXvyAa59dF2+jqLwKbjamGNvXrck2YhvqNl1qvznDu+OPyHRcTMhBdFoBAt3VL7rT1ehSG5J6bEPd1tnt19L7aMW76Y8//mj0a+F71RWzVlZWDbaHhIQAaHoxirrtAwcObIeU1BWVVFRh29kEAMCcEd0h41/ApAVcbEwxvl/tbxh+Os55d4mImqMVP7mffvpprFu3Tu0+pVKJGzduAACGDBnSYN+MGTMAAEeOHFF77uHDhxscR9Ra284moKSiGt3szRAW6CJ2HKJ6s4f5Qi6V4EpiDiJv54odh4hIa3Vasbt//374+vrilVdeUbt/06ZNDWZEqPPf//4X2dnZsLOzw5w5cxrsmz17Nnr06IFz584hPDy8wb7w8HCcPXsWfn5+mD17dvu9EOoyCssqseNcIgDgibAekEn5wARpDycrE0zo7w4A+JHz7hIRNUnjYjc7OxuZmZkNxsuq21Zn9erViI+Px5o1a5Cb27AXQi6XIyYmBqNGjcLu3bsRHx+PqKgorFixAm+88QasrKywffv2Rg+LGRgYYNu2bbCxscH06dOxfft2JCUlYfv27Zg+fTpsbGywdetWyOU6MTSZtMyW8HiUV9bAx9ECQ/3Vz+VMJKZZQ31hIJMi4nYeribliB2HiEgraVzsDhw4EM7OzvULNwC1Y2j/uq3O3LlzYWFhgRkzZsDW1rbBvnPnzuHLL7+ElZUVnn/+efTs2RMhISHYunUr/va3v+H69esYPny42hy9evVCREQEHnroIbz66qvw8/PDq6++ioceeggRERHo1auXpi+RurD8EiV2XbwNAJg3sgeknAaHtJCDpTEmBt3t3T0WB0EQRE5ERKR9NO7yTEpKatXxs2bNwqxZs9Tus7W1xSuvvNLkEIf7cXV1xbfffqvRuUTqbDkTD2VVDfxcrDCou4PYcYiaNGuoL/ZfSUFUSj4uJ+Qg2Mde7EhERFpFKx5QI9ImBaVK7L5UOzvIE2HdObk5aTVbcyNMDu4GoHbsLnt3iYgaYrFL9BdbzyRAWVWDHs6WGMBeMtIBM0N9oJBLEZNWgPO37ogdh4hIq7DYJbpHYVklfr87VnfOCPbqkm6wNlPg4YGeAICNJ26xd5eI6B4sdonusf1sAiqqauDrZMGxuqRTHh3iDYVcitj0AlxK4MwMRER1WOwS3VVUXoldF+726g5nry7pFitTBR68O3Z344mb7N0lIrqLxS7RXTvOJaKsshrejhYY4ucodhyiVnt0iDcMZFLcSM3HtSSuqkZEBLDYJQIAlFRU4bfzSQCAx4f7sleXdJKtuVH9vLsbT94UOQ0RkXZgsUsE4LdziShTVsPT3pyrpZFOmzHEB3KpBBG38xCZnCd2HCIi0bHYpS6vtKIKO84nAqjt1eVqaaTLHCyNMb5fbe/uz+zdJSJisUu080ISSiqq4WFnhmE9Gy91TaRrHhvqA5lUgssJOYhOzRc7DhGRqFjsUpdWpqzG9nN/9urKpOzVJd3nZGWCsX1cAbB3l4iIxS51ab9fTEJxeRXcbE0xIsBF7DhE7eaxob6QSoDzt7JxM6NQ7DhERKJhsUtdVnllNbadvdurO4y9uqRfXG1MMapXbe/uxhPs3SWirovFLnVZuy/eRmFZJVxsTDCyF3t1Sf/MGuYLCYAzcVmIzywSOw4RkShY7FKXVFFVgy1nEgAAjw/rDpmUHwXSPx52ZhgRUPvQ5S+n2LtLRF0Tf8JTl7TnUm2vrrO1CUaxV5f02OPDuwMATkVnIulOschpiIg6H4td6nIqq2uw9W6v7qyhPpDL+DEg/eXpULtQigDgl1O3xI5DRNTp+FOeupwjkWnIK1HCzsIIY/q4iR2HqMPNGe4LADhxIx0pOSUipyEi6lwsdqlLqVEJ2BJe26s7fbA3DNirS12Aj5MlBnd3gEoAfj3N3l0i6lr4k566lPCYTKTllcLMyAAT+7uLHYeo0zw+onbs7h+R6cjILxM5DRFR52GxS12GIAjYFB4PAHhkoCeMDeUiJyLqPH4uVgj2sYdKELDlTLzYcYiIOg2LXeoyribl4mZGIRRyKR4J8RQ7DlGnmzXUBwBw8GoqcosrRE5DRNQ5WOxSl7HpdG1v1sQgD1iaGIqchqjz9fawQYCbNapqVNhxLlHsOEREnYLFLnUJNzMKcSUxB1KJBNMGeYkdh0gUEokEj93t3d196TaKy6tETkRE1PFY7FKXUNerO6qXCxytTEROQySeQd0d4OVgjvLKGuy6kCR2HCKiDsdil/ReWm4pTkVnAABmhvqInIZIXBKJBLOG1s67+9v5RFRUVouciIioY7HYJb235Uw8BACDuzvA08Fc7DhEohse4ARnaxMUlVdh75UUseMQEXUoFruk13KLK3A4Ig0AMHMoe3WJAEAmldb/lmPbmQRUVteInIiIqOOw2CW9tuNcIqpqVAh0t0agu43YcYi0xtg+rrA1VyCnuAJHItPEjkNE1GFY7JLeKqmowp5LyQBQ/wQ6EdUylMswfbA3AGBzeDxqVILIiYiIOgaLXdJbuy/eRlllNTztzRHi6yB2HCKtMynIA+bGBkjPK8PJuw9xEhHpGxa7pJeUVTXYcb520vyZod6QSCQiJyLSPsaGckwZ6Amgdno+QWDvLhHpHxa7pJcORaSioLQSjpbGCAt0ETsOkdZ6OMQTRgYyJGQV4cKtbLHjEBG1Oxa7pHdqVCpsPZMAAJg+xBtyGd/mRE2xMDbE5AHdAAC/nr4lchoiovbHKoD0zskbmcjIL4OliSEm9HMXOw6R1ps2yAsGMimiUvIRmZwndhwionbFYpf0iiAI2BReuzTwIwNrfz1LRM2zNTfCuL5uAIBfT7F3l4j0C4td0iuXEnKQkFUEIwMZHhrYTew4RDpjxhBvSCXAxfhs3MwoFDsOEVG7YbFLemXT3TGHk4I9YGFsKHIaIt3hYmNa/zDn5ru/HSEi0gdtLnbDw8Ph5+cHiUSCpKSkdohEpJno1HxE3M6DXCrBtEFeYsch0jl1Swifis5AWl6pyGmIiNqHxsVueXk5Fi9ejBEjRiAuLq5NIYqLi/HNN99g0qRJcHJygoGBAaysrDBkyBB8+umnqKioaPJciUTS7J/XXnutTdlId9T1Ro3u7Qp7C2OR0xDpHm9HCwz0tYdKQP2MJkREuk6jYjc+Ph79+vXDtm3bsG/fvjYFKC0tRbdu3fDCCy/A0tISmzdvRmxsLHbs2AELCwssXrwYISEhuHPnTpPX8Pb2hp+fn9o/jo6ObcpHuiE5uxjhsVmQoHbsIRFppq5399C1VOSVNN3RQESkK+SanBQVFYUxY8bgo48+gpmZWZsCVFVVIT8/H9OmTcMvv/xSv93b2xthYWEYMmQIzp8/j9dffx0bN25Ue40jR47A09OzTTlIt2252wsV6ucID3tzkdMQ6a7eHjbwd7VCTFoBfjufhKdH+4sdiYioTTTq2X3wwQfx1VdftbnQvdczzzzTaJtUKsWzzz4LANi+fTtqamra7X6kP7KLyvFHZBoAYOZQH5HTEOk2iURS37u7++JtlCqrRE5ERNQ2GhW7Mln7zV1qaWmJ/Px8PPDAA2r3u7nVzv1YUVGBsrKydrsv6Y/t5xJRrRLQp5sN/F2txY5DpPOG+DnCzdYUpcpq7L2cLHYcIqI2EX3qMYlEAisrK0il6qNkZGQAALp16wZzc/W/nt65cycmTJgAT09P2NnZoW/fvli0aBFu377dYblJOxSVV2Lvpdofxo8N9RU5DZF+kEok9WPfd5xLRGU1f6tGRLpLozG7nWnv3r0AgJdffrnJYz766CMsW7YMQ4cORU1NDQ4cOICVK1fiu+++w+bNmzFx4sRm76FUKqFUKuu/LioqAgCoVCqoVKp2eBXNq7tPZ9xL3+w6n4SKqhp4O5qjv6eNaN9DtqFuY/s1NjLQGT8ei0NusRJHIlK1fulttqHuYxvqNjHar6X30upiNyoqCrt27UL//v3xt7/9Te0xr7/+OhYvXgxXV9f6bUFBQfDz88P06dMxc+ZMxMTENNj/V6tWrcKKFSsabU9JSWmyN7k9CYKA/Pz8+unSqGUqq1XYca72wbTR3S2RkpIiWha2oW5j+6kX1sMK2y9n4ZeTcfCzVkGqxd8btqHuYxvqNjHar7i4uEXHaW2xW15ejnnz5sHKygqbN2+GQqFQe9ynn36qdvu0adPQu3dvREZG4quvvsLKlSubvNfSpUuxaNGi+q+Liorg7u4Od3d3WFhYtO2FtIBKpYIgCHB3d29yOAc1tuvCbZQoa+BkZYwpwwMhE/F7xzbUbWw/9R53dMaBqFxkFVUivcIIoX7aO5Uj21D3sQ11mxjtV/eb+PvRymK3uroaM2fORGJiIo4ePQpfX83GYgYFBSEyMhKnT59u9jiFQqG2mJZKpZ3WYHX34ge8ZaprVNh+LhEAMCPUBwZy8d/KbEPdxvZrzNxYgcnB3bApPB5bzyRgqL+TVve4sQ11H9tQt3V2+7X0Plr3bqqqqsLjjz+O8+fP4+jRo+jbt6/G13JycgIA5OXltVc80hLHo9KRVVgOa1MFxvd1EzsOkd6aMsgTBjIpotMKcD2Zf5cSke7RqmK3oqIC06ZNw+nTp3H8+PH7FrpnzpxBbGxsk/szMzMBAFZWVu0Zk0QmCAI2h9eO1Z0S4glDeftNhUdEDdmYGWHc3X9Q1i3JTUSkS7Sm2C0rK8PkyZMRGRmJkydPwt+/4ao9DzzwACIiIhpsW7p0KVatWtXkNa9cuQIAGDJkSPsHJtGcv3UHSdnFMDGUY/KAbmLHIdJ7jw72hgTA+VvZSMxq2Rg5IiJt0WnF7v79++Hr64tXXnml0b6ioiJMmDABycnJOHnyJLy9vRsdc+DAAbXDEfbs2YOcnJxG23fu3ImIiAgoFAq88MIL7fMiSCtsOl3bu/RgsAfMjAxETkOk/1xtTTGsZ+2wsLqluYmIdIXGT/VkZ2c3Wr43OzsbRkZGAP4cL1tn9erViI+Px5o1a7BixQrY2toCqJ02YuzYsbhw4QK8vb0xderUloeXy5GTk4OwsDC8++676NevHwBg3759ePvtt2FkZIQff/wRXl5emr5M0jLXk/MQlZIPA5kUUwexXYk6y8xQH5yMzsTR6+mYP7IHHK1MxI5ERNQiGhe7AwcObLRCWUhISP3/C4LQYN/cuXNx8uRJTJgwob7QBYD4+HhcuHABAJCQ0Loeg99++w1btmzB77//jjfffBMZGRmQSqVwd3fHnDlz8Nprr8HPz6+1L420WN2YwbF9XGFrbiRyGqKuo4eLFfp52eJqYi62n0vEixMCxY5ERNQiGhe7SUlJrTp+1qxZmDVrVqPt/fr1a1QYt5SZmRmeeuopPPXUUxqdT7ol6U4xzt28AwmAGUN8xI5D1OXMDPXB1cRc7LuSgjnDu8PCxFDsSERE96U1D6gR3U9dr+6wns5wtTUVOQ1R1xPkZQdfJwsoq2qw60KS2HGIiFqExS7phKyCMhy9ng4AeGwoe3WJxCCRSDAjtPbzt/NCEioqq0VORER0fyx2SSdsO5sIlSCgv5cdujtbih2HqMsa3tMJztYmKCqvwoGrKWLHISK6Lxa7pPUKyyqx/0oyAPbqEolNJpVi+uDa6SG3nU1EdY1K5ERERM1jsUtab+f5JCirVejhbIl+nrb3P4GIOtT4vm6wMjVEVmE5TtzIEDsOEVGzWOySViuvrMbOuw/CzAz1gUQiETcQEUFhIMMjAz0B1D44qumMOkREnYHFLmm1fVdSUFJRBVcbU4T6O93/BCLqFA8N8ISxoQyJd4pxMT5b7DhERE1isUtaq6pGhW1naxcamRHqDZmUvbpE2sLc2AATgzwA/DktIBGRNmKxS1rr6PU05BRVwMZMgTG9XcWOQ0R/MW2QF+RSCSJu5yE6NV/sOEREarHYJa2kEgRsPl3bWzRtkBcM5TKRExHRX9lbGGPU3X+IsneXiLQVi13SSmfjspCSWwpThRyTgj3EjkNETZg5pHYasjOxWUjOKRE5DRFRYyx2SesIgoBNd3t1HxrQDaYKA5ETEVFTPOzNMbiHIwQAW8+wd5eItA+LXdI6kcl5iEkrgKFciikhXmLHIaL7mBla27t7JKJ2nD0RkTZhsUtap65Xd3xfN1ibKUROQ0T3E+hug0B3a1SrBOw4nyh2HCKiBljsklaJzyzCxfhsSCXAo0O4NDCRrpgZWvt53XspGSUVVSKnISL6E4td0ip1T3SPCHCBs7WJyGmIqKVCujvA094cZZXV2H3xtthxiIjqsdglrZGRX4YTN9IB/DkGkIh0g1QiwYy7n9vfzidBWVUjciIiolosdklrbD0TD5UADPCxh4+TpdhxiKiVRga6wMHSGPmlShyKSBU7DhERABa7pCXyS5Q4eK32h+NjQzlWl0gXyWVSTBtUO4PK1jMJqFEJIiciImKxS1rit/OJqKxWoaerFXp72Igdh4g0NLG/O8yNDZCRX4ZT0RlixyEiYrFL4itVVuH3uw+0zAz1gUQiETkREWnKyFCOhwd4Aqh94FQQ2LtLROJisUui23spGaXKarjbmmKwn6PYcYiojR4J8YRCLsWtzCJcScwVOw4RdXEsdklUldU12H6udhL6mUN9IGWvLpHOszQxxAP9PQD8OZ0gEZFYWOySqI5EpiGvRAk7CyOM6uUqdhwiaifTBntBKpHgSmIObmYUih2HiLowFrskmhqVgC3hCQCA6YO8YCDj25FIXzhZmWBkoDOAP5cAJyISA6sLEk14TCbS8kphZmSAiUEeYschonY24+4SwqdjMpCWVypyGiLqqljskigEQagfy/fIQE8YG8pFTkRE7c3b0QIDfe2hEmrn3SUiEgOLXRLF1aRcxGUUQiGX4pEQT7HjEFEHeexu7+6ha6nIK6kQOQ0RdUUsdkkUdWP4HujvAUsTQ5HTEFFH6eVhg56uVqiqUeG380lixyGiLojFLnW6mxmFuJKYA6lEgumDvcSOQ0QdSCKRYObd3t3dF2+jVFklciIi6mpY7FKnq+vVHdXLBY5WJiKnIaKONtjPEe62pihVVmPvpWSx4xBRF8NilzpVWm4pTkVnAEB9bw8R6TepRFI/M8P2c4morK4RORERdSUsdqlTbTkTDwHAoO4O8HQwFzsOEXWSUb1cYGuuQF6JEn9Epokdh4i6EBa71GlyiytwOKL2h9xjQ9mrS9SVGMplmDbIGwCw5UwCVIIgciIi6ipY7FKn2XEuEVU1KgS6WyPQ3UbsOETUySYFecDMSI7U3FKcic0SOw4RdREsdqlTlFRUYc/dB1M4VpeoazJRyDE5uBuA2gdVBfbuElEnYLFLnWL3xdsoq6yGp705Qro7iB2HiEQyJcQLBjIpYtMLEHE7T+w4RNQFsNilDqesqqmfTH5mqDekEom4gYhINNZmCozv5wYA9UuGExF1pDYXu+Hh4fDz84NEIkFSUlI7RCJ9cygiFfmlSjhaGiMs0EXsOEQkskcHe0MqAS7GZyM+s0jsOESk5zQudsvLy7F48WKMGDECcXFx7RImNjYWc+fOhbOzM4yMjODj44M33ngDhYWFzZ5XWFiIN998E76+vjAyMoKzszPmzp2L2NjYdslFmqtRqbDlbu/N9MFekMv4ywSirs7FxhTDezoDqJ2OkIioI2lUecTHx6Nfv37Ytm0b9u3b1y5Bjh07hv79++PixYv4/vvvER0djX/84x/473//i6CgIGRkZKg9LyMjA0FBQfj666+xbNkyREdH4/vvv8fFixfRv39/HDt2rF3ykWaOR2Ugs6AcliaGmNDfQ+w4RKQl6h5Urf07okzkNESkzzQqdqOiojBmzBhcv34d48aNa3OIgoICzJgxA4IgYO/evZgwYQK8vLzw1FNP4ZtvvkFCQgLmzZun9tx58+YhISEB33zzDZ566il4eXlhwoQJ2Lt3L1QqFWbMmHHfnmHqGCpBqF8aeEqIJ4wMZCInIiJt4etsiSBvO6gEAdvOJogdh4j0mEbF7oMPPoivvvoKZmZm7RLiyy+/RE5ODh555BF4e3s32Ddr1iy4uLjg8OHDOH36dIN9J0+exOHDh+Hi4oJZs2Y12Oft7Y2pU6ciJycHq1evbpec1Drnb95BUnYxTAzleHigp9hxiEjL1PXuHriSgoJSpchpiEhfaVTsymTt20O3ZcsWAMCYMWMa7ZNKpRg9ejQAYNOmTWrPGzlyJKTSxi9l7Nixas+jjicIAn49fQsA8GCwB8yMDERORETapp+nLbo7W0JZrcLOC0lixyEiPSX600KlpaWIiooCAPj7+6s9pm77hQsXGmw/d+5ci86LiopCeXl5u+SllolMzkN0agEMZFJMG+wldhwi0kISiaS+d3fXhdsor6wWORER6SO52AESExOhUqkAAE5OTmqPcXaufWo3Pr7hU7t1X9/vPJVKhcTERAQEBKg9TqlUQqn881doRUVF9efVZetIdffpjHt1ll9P1fbqju/rBisTQ716beroYxt2JWw/8Qzp4QAXaxOk55dh7+XbmBqi2T+O2Ya6j22o28Rov5beS/Rit66wBABjY2O1x5iYmABAowfN6s6933nqzr3XqlWrsGLFikbbU1JSYG5u3uR57UUQBOTn50MikUCiBwsuJOeW41JCDqQSINRDgeTkZLEjdTh9a8Ouhu0nrlE9LLHxXBm2nI5HPwcpZNLWtwHbUPexDXWbGO1XXFzcouNEL3a1wdKlS7Fo0aL6r4uKiuDu7g53d3dYWFh0+P1VKhUEQYC7u7vasce6ZsPFKwCAsEAXBAX6ipymc+hbG3Y1bD9xzXRxxd7rucgvrUR8kRxj+7i2+hpsQ93HNtRtYrTfvR2mzRG92L23mGxqXG1ZWe0cjJaWlo3Ozc3Nve956s69l0KhgEKhaLRdKpV2WoPV3UvXP+ApOSU4FZ0JAJg11FfnX09r6EsbdlVsP/EYGUoxdZAX1v0Riy1nEjC2r5tGy4qzDXUf21C3dXb7tfQ+or+bvLy86ru7MzMz1R5Tt6CEj49Pg+11X9/vPKlUCk9Pz/aIS/ex5Uw8BACDuzvA06Hjh4AQkX6YHNwNJgo5knNKcCY2S+w4RKRHRC92TU1NERgYCACIiYlRe0zd9oEDBzbYHhIS0qLzAgMDG4zfpY6RXVSOIxFpAIDHhnWN4QtE1D5MjQzw8IBuAGofcBUEQeRERKQvRC92AWDGjBkAgCNHjjTap1Kp8McffzQ47q/nHTt2TO0TeYcPH1Z7HnWMbWcTUa0S0KebDQLcrMWOQ0Q6ZuogLyjkUsRlFOJyYo7YcYhIT3Rasbt//374+vrilVdeabRv4cKFsLW1xc6dO5GYmNhg36+//or09HSMHj0aw4cPb7BvxIgRGDVqFNLT0xstHJGQkIAdO3bA1tYWCxcubP8XRA0UllVi7+XaWRceG8peXSJqPStTBSYGeQD4c/pCIqK20rjYzc7ORmZmZoPxsuq21Vm9ejXi4+OxZs0a5ObmNthnbW2NzZs3AwAmTpyIgwcPIjExEevXr8fzzz8PT09P/PTTT2pzbNiwAZ6enliwYAHWr1+PxMREHDx4EJMmTYJEIsHmzZthZWWl6cukFtp5PgnKqhr4Olkg2NtO7DhEpKOmD/aGXCpBxO08RKXkiR2HiPSAxsXuwIED4ezsXL9wA1A7hvav2+rMnTsXFhYWmDFjBmxtbRvtHz16NK5cuYKgoCDMmzcP/v7+eO+997BgwQJcuXIFLi4uanO4uLjgypUreP755/H+++/D398f8+bNQ1BQEC5fvly/1DB1nDJldf1Sn7OG+nJ+RCLSmIOlMcb2cQMAbDodf5+jiYjuT+Opx5KSklp1/KxZszBr1qxmj/H398fPP//c6ixWVlb4+OOP8fHHH7f6XGq7PZdvo6SiCm42pgj1V7+aHRFRS80M9cHBayk4d/MO4jOL4OPU8fOdE5H+0ooH1Eh3VVbXYPvZ2nHWM4f6aLTyERHRvVxtTTG8Z+1vCDeHs3eXiNqGxS61yeGINOSVKGFnYYTRvVu/6hERkTp1D7qeuJGOtNxSkdMQkS5jsUsaq1Gp6ntdpg/2hoGMbyciah8+ThYI6e4AlQBsPsPeXSLSHKsT0tjJG5nIyC+DhbEBJvV3FzsOEemZWUNrV8k8fC0V2UXql4UnIrofFrukEUEQsOlur+4jIV4wMtT4WUciIrUC3W3Qp5sNqlUCtp1NvP8JRERqsNgljVy4lY2ErCIYG8rw8MBuYschIj016+7Y3b2Xk1FQqhQ5DRHpIha71GqCIODX07WrG00K8oCFsaHIiYhIXwV526G7syWUVTXYeT5J7DhEpINY7FKr1a5slA8DmRTTB3uLHYeI9JhEIqkfu7vzQhJKlVUiJyIiXcNil1rt51M3AQAT+rnB1txI5DREpO9C/Z3gbmuKUmU1dl9MFjsOEekYFrvUKjdS83E1MRcyqQQzQ33EjkNEXYBUIqmfd3f7uQQoq2pETkREuoTFLrXKzydre3XH9XGDo5WJyGmIqKsY1csFjpbGKCitxP4r7N0lopZjsUstdjOjEBduZUMqqV0amIios8hl0vq/dzaHJ6Cymr27RNQyLHapxep6dUf1coWrjanIaYioqxnf1w125kbIKa7AwWupYschIh3BYpdaJCGrCOGxWZAAmDXMV+w4RNQFGcplmBlaOwPMptPxqKpRiZyIiHQBi11qkV9P1c6rOzzAGR52ZiKnIaKu6oH+HrA2VeBOYTmORLB3l4juj8Uu3VdyTglO3MgAAMxmry4RiUhhIMOMu727v56OR42KvbtE1DwWu3Rfv566BQHAkB6O8Ha0EDsOEXVxDwZ5wNLEEBn5ZfgjMl3sOESk5VjsUrPS80px9HrtD5M5I7qLnIaICDAylGP6YC8Atf8Yr1EJIiciIm3GYpeatSk8HipBwEBfe3R3thQ7DhERAOChAZ4wNzZAal4pTtxg7y4RNY3FLjXpTmE5Dt+d3ufx4ezVJSLtYaKQY2pIbe/uzydvQSWwd5eI1GOxS03aHB6PapWAfp62CHCzFjsOEVEDj4R4wlQhR3JOCU7HZIodh4i0FItdUiu3uAL7r6QAYK8uEWknMyMDPBLiCQD45VQ8e3eJSC0Wu6TW1jMJqKpRIdDdGn262Ygdh4hIramDvGBsKEPinWJEpBaLHYeItBCLXWqkoFSJPZduAwDmDO8OiUQiciIiIvUsjA3x8ABPAMCeiGwI7N0lor9gsUuNbD2TAGW1Cj1cLBHkbSd2HCKiZk0b7AWFgQzJeRW4EJ8tdhwi0jIsdqmBglIldl2s7dWdO4K9ukSk/axMFXgwyB1A7dhd9u4S0b1Y7FIDW84kQFlVAz8XK4T4Oogdh4ioRaYP8oKBTIKYtAJcScwVOw4RaREWu1Qvv0SJ3y8kAQCeCGOvLhHpDhtzIwzzrZ0iccOJOPbuElE9FrtUb3N4PJTVKvi7WmGAj73YcYiIWmVCLzsYyKSISsnH5cQcseMQkZZgsUsAaufV3X13BoZ5YT3Yq0tEOsfaxACT7o7d/ekYe3eJqBaLXQJQ26tbWa1CgJs1Z2AgIp01M9QHCrkU0WkFuMiZGYgILHYJtb26ey4lAwCeYK8uEekwGzMFJg/oBgD4kb27RAQWuwRg0+n4+tXS+nvZih2HiKhNZob6QGEgQ1xGIc7dvCN2HCISGYvdLi6nqAJ7L9f26nKsLhHpAytTBR4Z6AmAvbtExGK3y/v19C1U1ajQ28MGfT3Zq0tE+uHRId4wNpQhPqsI4bFZYschIhGx2O3C7hSWY/+VFAAcq0tE+sXSxBBTQrwAAD8dj4OKvbtEXRaL3S6srle3Tzf26hKR/pk22AsmCjkS7xTjVHSm2HGISCQsdruorIIyHLjbqzsvrIfIaYiI2p+FsSGmDfqzd7dGxd5doq6oTcXu/v37MW7cONjY2MDU1BRBQUFYvXo1VCpVq64zcuRISCSS+/6xsrJqdK6np2ez50yZMqUtL1Fv/Xo6HtUqAf28bNG7G3t1iUg/TR3kBTMjOZJzSnDiRrrYcYhIBHJNT/zwww+xZMkSTJ48GYcOHYK5uTn+97//YeHChTh48CC2b98Oubzll7e1tYWdXdOLGcTGxqJnz55q97m7u8PExETtPjc3txZn6CoyC8pw4Cp7dYlI/5kZGWD6YG/8cCwOG47fxIgAZ8ik/KUmUVeiUbF78uRJLFmyBAEBAdi+fTsMDAwA1BbA+fn5+O677/Dhhx9i2bJlLb7mK6+8guXLl6vdd/jwYYwbNw4LFy5Uu//HH3/EyJEjW/syuqxfTt1CjUpAkLcdAt1txI5DRNShpoR4Yfu5RKTmleLo9XSM7cNOEKKuRKN/3tYVpQsXLqwvdOssXrwYAPDRRx+hvLy8Rdfz8/ODi4tLk/u/+OILODk5YcaMGZrEpXuk5ZXi4NVUALUzMBAR6TsThRwzhvgAADacuImaVg61IyLd1upiNzs7G8eOHQMAjBkzptF+Pz8/uLm5oaioCPv27WvRNb/55hssWLBA7b6EhATs2bMHL7zwQqPCmlqvbgqeEF97BLhZix2HiKhTPDywGyxNDJGRX4bDEWlixyGiTtTqYvfixYtQqVQwMDCAj4+P2mP8/f0BABcuXGhbOgBr1qyBXC7H888/3+QxJ06cwJQpU+Dr6wtbW1sEBATg+eefR1RUVJvvr08Ss4pw7HrtAxrzR/qJnIaIqPMYG8oxM7T2Z9bGkzdRVcPeXaKuotXFbnx8PADA3t4e0iYG+Ts7Ozc4VlOlpaVYt24dZsyYAScnpyaP++yzzzBkyBBs2rQJR48excsvv4zt27ejf//+WL9+fZsy6JMfjsVBADC8pzN8nS3FjkNE1KkmD+gGa1MFsgr+XFCHiPRfqx9QKyoqAgAYGxs3eUzdzAiFhYUaxqr1008/oaCgoMkH0wDg6aefxvTp0xEYGFi/rU+fPhg0aBBCQkLw3HPPoU+fPggODm7yGkqlEkqlsv7ruteoUqlaPY2aJuru05H3ikkrwJm4LEglwBMjfDvldXUlndGG1HHYfrqvJW1oKJNg1lAffH3wBn4+eRNjervAyEDWiSmpOfwc6jYx2q+l99J46rHO8OWXXyIkJASDBg1q8ph33nlH7fYBAwbgwQcfxO7du/Hpp59i48aNTV5j1apVWLFiRaPtKSkpMDc3b33wVhIEAfn5+fVzA3eEbw8lAQAGe1tBKMtDcnJeh9ynq+qMNqSOw/bTfS1tw0A7AbamBsgtUeLHQ1fxQC/7TkxJzeHnULeJ0X7FxcUtOq7Vxa6FhQUANDvTQllZGQDA0lLzX5UfPnwYN27cwIYNGzS+RnBwMHbv3o3Tp083e9zSpUuxaNGi+q+Liorg7u4Od3f3+tfbkVQqFQRBgLu7e5NDQ9rialIuojNLIZdKsOCBvnC0Uj8nMWmuo9uQOhbbT/e1pg3nj5bj098jcSg6H4+P7gMzIz78rA34OdRtYrRf3W/i76fVxW7dQ2nZ2dlQqVRqX1BGRkaDYzXx5Zdftnm6sbpxvnl5zfdiKhQKKBSKRtulUmmnNVjdvdr7foIg4MdjcQCAScEecLYxa9fr0586qg2pc7D9dF9L23BsH3dsPZOI5JwSbD+XhCdH8YFdbcHPoW7r7PZr6X1anSY4OBhSqRRVVVVNPoAWExMDABg4cGBrLw8ASExMxO7du/H888/D0NCwyeOuXbuGK1euNLk/MzMTANQuM9xVnLt5B9FpBVDIpZg9zFfsOEREopNJJfUF7o5zicgvUd7nDCLSZa0udh0cHBAWFgYAOHLkSKP9sbGxSE1Nhbm5OR544AGNQq1evRoymazZ6caA2lkYXn/99Sb31xXCQ4YM0SiHrlMJAr4/GgsAeCTECzZmRiInIiLSDqF+jvBzsUJFVQ1+OXVL7DhE1IE06md+9913AdQWpdXV1Q32ffLJJwCAN954o35WBgC4fPkyAgICMGPGjEbn3Ove6cbqpjBrztmzZxEbG9to+9WrV/H7779DIpHg1VdfbdHr0jcnojKQeKe4dvWgUG+x4xARaQ2JRIKnRtf27u65dBuZBWUiJyKijqJRsRsWFoaVK1ciKioKU6dOxeXLlxEXF4clS5bgu+++w6RJk7B06dIG56xbtw7R0dHYunUrrl271uS1WzLdWB25XA6lUolx48Zh/fr1iIqKQkJCAtavX4+JEydCIpHgs88+Q2hoqCYvU6dV16jw/bHafwQ8OtgbFsZNDwchIuqK+nvZoZ+nLapVAjYcvyl2HCLqIBqPIH7rrbewd+9elJeXY/To0ejfvz8OHDiAzz//HLt27YJc3vDZtxkzZsDOzg4jRoxoMCfuX61evRoDBw7E4MGD75vhq6++wqZNmzBs2DB88MEHGDBgAAICAvDPf/4T48aNw9mzZ7tsr+7ey8nIyC+DtakC0wZ7iR2HiEgr1fXuHolMxe3slk1jRES6pU3z7E6cOBETJ05s0bFhYWHIzs6+73HXr19v8f0NDQ0xc+ZMzJw5s8XndAVlympsPFnbSzFnRHcYG2r1dMpERKLxd7VGqJ8jwmOz8MPRWLwzc4DYkYionXFuDz20/WwCCkor4WJjgon93cWOQ0Sk1eaP9INUApyOzcKN1Hyx4xBRO2Oxq2fyS5TYejYBAPDUKH/IZWxiIqLmeDqYY1xfNwDA2sPREARB5ERE1J5YCemZn0/dRHllDXq4WGJ4Tyex4xAR6YQnwnrAUC5FVEo+zsRliR2HiNoRi109kp5Xij2XkgEAz4zx59riREQtZG9hjKmDah/mXXckBjUqlciJiKi9sNjVI98fjUWNSsAAH3v087QTOw4RkU55LNQHFsYGSMktxYGrqWLHIaJ2wmJXT8SlF+D4jQxIADw92l/sOEREOsfUyACzh3cHAPx0PA4VlU0vgEREuoPFrh4QBAH/OxIDABjd2xU+ThYiJyIi0k2Tgz3gZGWMvBIltp9LFDsOEbUDFrt64GJ8Nq4m5cJAJsW8kT3EjkNEpLMM5TI8Oap2oYkt4QkoKFWKnIiI2orFro6rUanw3eFoAMBDA7rBycpE5ERERLotLNAF3Z0tUVb55wI9RKS7WOzquANXU3E7uwRmRgaYPdxX7DhERDpPKpHg2TG1zz7suZSMtLxSkRMRUVuw2NVhZcpq/HAsFgAwd0R3WBgbipyIiEg/9POywwAfe9SoBKy7+0wEEekmFrs6bHN4fP2ywJMHdBM7DhGRXnlubE9IJcCpmExEJueJHYeINMRiV0fdKSzHtrvLAj87picMuCwwEVG78nQwxwP9PQAA3xy8ARWXESbSSayQdNT3R2NRWa1CLw8bhPo5ih2HiEgvzQvrARNDOW5mFOKPyDSx4xCRBljs6qCbGYU4cvcv3efH9eSywEREHcTaTIFZw2of/l3/RywXmiDSQSx2dYwgCPj20A0AwOheLujhYiVuICIiPTd1kCccrYyRU1yBrWe50ASRrmGxq2POxGUh4nYeDOVSPMVlgYmIOpyhXIZn7v59uzk8HjlFFSInIqLWYLGrQ6pqVFh7uHYKnGmDvOBgaSxyIiKirmFEgDMC3KyhrKrB93enfCQi3cBiV4f8dj4RaXmlsDZVYOZQH7HjEBF1GRKJBM+PDwAAHL6WipsZhSInIqKWYrGrI/JLlPj5xC0AwFOj/WCqMBA5ERFR1+LvaoXRvVwgAPj20A0InIqMSCew2NUR64/GoKyyGj1cLDGur5vYcYiIuqSnRvvDUC5FxO08nIrOFDsOEbUAi10dEJdegINXUwEAL04IhJRTjRERicLB0hgzhtQOI/v2cDQqqmpETkRE98NiV8sJgoCvDkRBADCmtysC3KzFjkRE1KXNHOoDB0tj3Cksx+bT8WLHIaL7YLGr5Y5eT0d0agGMDGR4ZgynGiMiEpuRgQwLxvYEUDsVWWZ+mciJiKg5LHa1WHllNdYeiQYAzB7mC1tzI5ETERERAAzr6YS+nraoqlHh28PRYschomaw2NViv566hdxiJZytTTBtsJfYcYiI6C6JRIKX7j5DcTomE5cTcsSORERNYLGrpTLyy7Dt7rKUC8b2hKFcJnIiIiK6l6eDOR4e2A0A8PWBKFTXqERORETqsNjVUv89eANVNSr097LDED9HseMQEZEac0f0gKWJIZJzSrDrQpLYcYhIDRa7WuhsXBbOxmVBJpXgxQkBkHCqMSIirWRubICnRvsBAH46cRP5JUqRExHRX7HY1TLKqhp8fSAKADBtkBe62ZuLnIiIiJozvq87ujtbokxZjXV/xIgdh4j+gsWulvn19C1kFpTDzsIIc0Z0FzsOERHdh0wqwUsPBAIADl5LRVRKnsiJiOheLHa1SFpeKbaEJwAAXhgfAGNDuciJiIioJQLcrDGhX+1S7l/suc6H1Yi0CItdLSEIAr4+UPtQWrCPPYb5O4kdiYiIWuGZMT1hbmyApOxi7DifKHYcIrqLxa6WuJJcjEsJOTCQSfHyhEA+lEZEpGMsTQzx7N2VLjccv4k7heUiJyIigMWuViivrMbmixkAgBmh3nC1NRU5ERERaWJ8P3cEuFmjoqoG/z14Q+w4RAQWu1rh51O3kF9WDScrY8wa6it2HCIi0pBUIsHCSb3qV1Y7f/OO2JGIujwWuyJLulOMHeeSANQ+lKYw4EppRES6zNvRAlMHeQIA1uy/joqqGnEDEXVxLHZFlppbAkO5FH3dzDGou4PYcYiIqB08EdYDdhZGyCwox6+nbokdh6hLY7ErsmE9nfHdCyMwe5Cz2FGIiKidGBvK8eL4AADAlvB4JOeUiJyIqOtqU7G7f/9+jBs3DjY2NjA1NUVQUBBWr14Nlar18wtKJJJm/7z22mtNnltYWIg333wTvr6+MDIygrOzM+bOnYvY2Ng2vLrOY2tuBGsTA7FjEBFROxrq74SQ7g6oVgn4Yk8kVIIgdiSiLknjYvfDDz/ExIkTYWRkhEOHDuHKlSsYN24cFi5ciClTpqC6urrV1/T29oafn5/aP46OjmrPycjIQFBQEL7++mssW7YM0dHR+P7773Hx4kX0798fx44d0/QlEhERaUwikeDlBwJhZCBDZHIe9l1OFjsSUZek0RJdJ0+exJIlSxAQEIDt27fDwKC2V/LDDz9Efn4+vvvuO3z44YdYtmxZq6575MgReHp6tuqcefPmISEhARs3bsTjjz8OAPDy8sLevXsREBCAGTNm4NatW7C0tGzVdYmIiNrKycoET47yw38P3sDaIzEY1N0RdhZGYsci6lI06tldvnw5AGDhwoX1hW6dxYsXAwA++ugjlJd37ITaJ0+exOHDh+Hi4oJZs2Y12Oft7Y2pU6ciJycHq1ev7tAcRERETXl4oCf8XKxQpqzG6n3XIXA4A1GnanWxm52dXT80YMyYMY32+/n5wc3NDUVFRdi3b1+bAzZny5YtAICRI0dCKm38UsaOHQsA2LRpU4fmICIiaopMKsHrk3tDJpXgTFwWTkVnih2JqEtpdbF78eJFqFQqGBgYwMfHR+0x/v61yyVeuHChVdfeuXMnJkyYAE9PT9jZ2aFv375YtGgRbt++rfb4c+fONbhfUzmioqI6vJeZiIioKV6OFnhsaO3PzDX7o1BcXiVyIqKuo9XFbnx8PADA3t5ebW8qADg7Ozc4tqU++ugjPPLII9i5cycOHjyIWbNm4dtvv0WvXr3U9hLXXd/JyanZHCqVComJia3KQkRE1J5mD/OFu60p8kuV+O4wlxIm6iytfkCtqKgIAGBsbNzkMSYmJgBqpwRrqddffx2LFy+Gq6tr/bagoCD4+flh+vTpmDlzJmJiYhrsv1+Wuhz3y6JUKqFUKhtdV6VSaTSNWmvV3acz7kUdg22o29h+uk8X2lAuleBvD/bCGz+ew4GrqQgLcEZ/LzuxY2kNXWhDapoY7dfSe2k0G0NH+PTTT9VunzZtGnr37o3IyEh89dVXWLlyZbvfe9WqVVixYkWj7SkpKTA3N2/3+/2VIAjIz8+vn1OYdA/bULex/XSfrrShBYCwHtY4HpePT3ddxbsP+cJQzvWdAN1pQ1JPjPYrLi5u0XGtLnYtLCwAoNkxsGVlZQDQbtN9BQUFITIyEqdPn26UJTc3t8ksdTnul2Xp0qVYtGhR/ddFRUVwd3eHu7t7/evtSCqVCoIgwN3dvcmhIaTd2Ia6je2n+3SpDRc6OiPqm1PIKa7A4VtleOHuSmtdnS61ITUmRvvV/Sb+flpd7NY9lJadnQ2VSqX2BWVkZDQ4tq3qxuTm5eU1ypKbm4vMTPVPttblkEqlzc7fq1AooFAoGm2XSqWd1mB19+IHXHexDXUb20/36Uobmhsr8Nrk3vjHLxew88JtDPV3Rl9PW7FjaQVdaUNSr7Pbr6X3aXWa4OBgSKVSVFVVNfkAWkxMDABg4MCBLbrmmTNnml3at66YtbKyarA9JCSkwf2ayhEYGNhg/C4REZGYBvo64IH+7gCAT36/hvLK1q86SkQt0+pi18HBAWFhYQBqVzz7q9jYWKSmpsLc3BwPPPBAi665dOlSrFq1qsn9V65cAQAMGTKkwfYZM2YAAI4dO6Z2kPLhw4cbHEdERKQtFozrCQdLY2QVlOO7w9FixyHSWxr1M7/77rsAgNWrV6O6uuG/Rj/55BMAwBtvvNGgN/Xy5cv1y/f+9RwA2LNnD3Jychpt37lzJyIiIqBQKPDCCy802DdixAiMGjUK6enpjRaOSEhIwI4dO2Bra4uFCxdq8jKJiIg6jKnCAIse6gMA2HMpGZcSskVORKSfNCp2w8LCsHLlSkRFRWHq1Km4fPky4uLisGTJEnz33XeYNGkSli5d2uCcdevWITo6Glu3bsW1a9ca7JPL5cjJyUFYWBg2b96MuLg4xMXF4fPPP8cTTzwBIyMj/PTTT/Dy8mqUZcOGDfD09MSCBQuwfv16JCYm4uDBg5g0aRIkEgk2b97caPgDERGRNujvZYeHBnQDAHz2ewRKK7jYBFF703gE8VtvvYW9e/eivLwco0ePRv/+/XHgwAF8/vnn2LVrF+Tyhs++zZgxA3Z2dhgxYgQCAwMb7Pvtt9+wbt06+Pn54c0330Tv3r3Rt29frFmzBnPmzMHVq1ebHIrg4uKCK1eu4Pnnn8f7778Pf39/zJs3D0FBQbh8+TJGjx6t6UskIiLqcM+M8YeztQmyiyrwzSEuNkHU3iSCIAhih9A2RUVFsLS0RGFhYadNPZacnAwPDw8+gaqj2Ia6je2n+3S9DSOT8/DGD2cgAPjnrAEY1N1R7EidTtfbsKsTo/1aWq/x3URERCSy3h42mDqodqjef3ZHorCsUuRERPqDxS4REZEWeHKUHzzszJBXosRnv0eAv3glah8sdomIiLSAwkCGJVP7QS6V4ExcFvZdSRE7EpFeYLFLRESkJXycLPHUaH8AwH8PRCE5p0TkRES6j8UuERGRFpk22Av9vGyhrFbhwx1XUFXTeNEkImo5FrtERERaRCqR4I2H+8Hc2AC3Movw47E4sSMR6TQWu0RERFrGzsIIr0+uXV1tS3g8riY1XmGUiFqGxS4REZEWGurvhAf6u0MA8O/frqGonNOREWmCxS4REZGWemF8AFxtTJFTXMHpyIg0xGKXiIhISxkbyrF0Wn8YyKQIj83CjvNJYkci0jksdomIiLRYd2dLPDeuJwDgf4ejEZNWIG4gIh3DYpeIiEjLPTygG4b3dEK1SsAH2y5z/C5RK7DYJSIi0nISiQSvT+4DZ2sTZBWW45NdHL9L1FIsdomIiHSAqZEBlk0PgoFMirNxWdhxLlHsSEQ6gcUuERGRjujubInnx9eO3117JAbRqfkiJyLSfix2iYiIdMjk4G4Y3tMZNSoBH2y/gsIyjt8lag6LXSIiIh1SO363N1xsTHCnsBwfbL+MGpVK7FhEWovFLhERkY4xNTLAO48GQ2Egw9XEXKz/I1bsSERai8UuERGRDvJytMDih/oAALacScCxqHSRExFpJxa7REREOios0AUzhngDAD79PQKJWUUiJyLSPix2iYiIdNhTo/0R5G0HZVUNVmy5xAUniP6CxS4REZEOk0klWDq1PxytjJGRX4YPd1xFjYoLThDVYbFLRESk4yxMDPHujGAo5FJcjM/GD0f5wBpRHRa7REREesDHyRKvTa59YG1TeDwOXUsVORGRdmCxS0REpCdG93bFY0N9AAD/2R2ByOQ8kRMRiY/FLhERkR55cpQfhvd0QrVKwD83X0RaXqnYkYhExWKXiIhIj0glEvz9kX7o4WyJovIqvPPrBRSXV4kdi0g0LHaJiIj0jJGBDMsfGwA7CyOk5pbi/a2XUF3DJYWpa2KxS0REpIdszY3wz8cGwshAhqtJuVi97zoEgVOSUdfDYpeIiEhP+ThZYOm0/pAA2HclBZvDE8SORNTpWOwSERHpscE9HLFgfAAAYN0fMZySjLocFrtERER6btogL0wf7AUA+PT3CJy/eUfkRESdh8UuERFRF/Ds2J4Y3csFKkHA+9suIyYtX+xIRJ2CxS4REVEXIJVIsOjhvgj2sYeyqgZv/3IBKTklYsci6nAsdomIiLoIA5kUbz8ahB4utXPwLvv5PHKLK8SORdShWOwSERF1IcaGcrw3ayBcbUyRVViOZT+fR1F5pdixiDoMi10iIqIuxspUgQ/mhMDGTIHEO8VY9vN5lFZwlTXSTyx2iYiIuiAnKxOsmjMIFsYGiEsvxD9+uYDyymqxYxG1Oxa7REREXZSngzlWzRkEMyM5bqTm451fL6CiqkbsWETtqk3F7v79+zFu3DjY2NjA1NQUQUFBWL16NVSq1q2/rVQqsXHjRkyfPh3u7u4wNDSEubk5goODsXz5chQUFDR5rqenJyQSSZN/pkyZ0paXSEREpNd8nS2x8vFBMDGUI+J2Hv65+SIqq1nwkv7QuNj98MMPMXHiRBgZGeHQoUO4cuUKxo0bh4ULF2LKlCmorm75r0J69+6NuXPnori4GOvWrUNMTAz279+Pnj17YsWKFejduzdu3rzZ5Pnu7u7w8/NT+8fNzU3Tl0hERNQl+Lta4b3ZA6EwkOFSQg5Wbr2MqprWdVwRaSu5JiedPHkSS5YsQUBAALZv3w4DAwMAtQVwfn4+vvvuO3z44YdYtmxZi653584dhISEYO/evZDLayN5e3tj6NChqKiowLZt2/Dkk0/i9OnTas//8ccfMXLkSE1eChEREQHo5WGDfz42AG//egFnb97Bqu1XsHRafxjIOOKRdJtG7+Dly5cDABYuXFhf6NZZvHgxAOCjjz5CeXl5i685f/78+kL3Xs8//zwAIDw8HGlpaZrEJSIiohbo52WHd2YEw0AmxemYTLy35RKHNJDOa3Wxm52djWPHjgEAxowZ02h/3dCBoqIi7Nu3r0XXvH37NhYsWKB2373DEPLy8lobl4iIiFphoK8Dlj82AIZyKc7dvIN3N13kQ2uk01pd7F68eBEqlQoGBgbw8fFRe4y/vz8A4MKFCy26pqWlpdpeXQDIyMgAABgZGcHX11ftMSdOnMCUKVPg6+sLW1tbBAQE4Pnnn0dUVFSL7k9ERER/GuBjj/dnh8DIQIbLCTl4+5fzKFNyWjLSTa0esxsfHw8AsLe3h1SqvlZ2dnZucGxb7N27FwDw9NNPw9jYWO0xn332GZYsWYK3334bBgYGOHnyJJYvX47169fjm2++wVNPPdXsPZRKJZRKZf3XRUVFAACVStXqmSU0UXefzrgXdQy2oW5j++k+tmH76+1hjZWPD8Tbv15ExO08LN14Du/NGgAzI4P7n6wBtqFuE6P9WnqvVhe7dYVgU4UnAJiYmAAACgsLW3v5BrKysrBu3Tq4ubnhvffeU3vM008/jenTpyMwMLB+W58+fTBo0CCEhITgueeeQ58+fRAcHNzkfVatWoUVK1Y02p6SkgJzc/M2vYaWEAQB+fn59dOlke5hG+o2tp/uYxt2DDMAr47xwOeHbyMmrQCL15/Cq2O6wcxIo+fbm8U21G1itF9xcXGLjmv/d2s7UalUeOaZZ6BUKrFnzx7Y2NioPe6dd95Ru33AgAF48MEHsXv3bnz66afYuHFjk/daunQpFi1aVP91UVER3N3d4e7uDgsLi7a9kBZQqVQQBAHu7u5N9paTdmMb6ja2n+5jG3YcDw/A3cUZS3++gOS8Cnz2RyrenzUAjlYm7XoftqFuE6P96jpg76fVxW5d8dfcTAtlZWUAasfiaurll1/G4cOHsWvXLgwZMkSjawQHB2P37t1NTllWR6FQQKFQNNoulUo7rcHq7sUPuO5iG+o2tp/uYxt2HB9nK3w8fwiW/XweqbmlWPTDWbw/OwQ+Tu3bIcQ21G2d3X4tvU+r09Q9lJadnd3kWIm6h8qaeoDtfl5//XX8+OOP2L17N8aPH6/RNQDAyckJAGdxICIiaisPOzN89mQovBzMkVeixN9/PIOriTlixyK6r1YXu8HBwZBKpaiqqmryAbSYmBgAwMCBA1t1bZVKheeffx7r1q3DgQMHMHbs2GaPv3btGq5cudLk/szMTACAlZVVq3IQERFRY3YWRvh4/hD06WaDMmU1lv18Hseup4sdi6hZrS52HRwcEBYWBgA4cuRIo/2xsbFITU2Fubk5HnjggRZft6amBvPnz8fWrVtx+PBhDBs2rMH++fPn49ChQw22ffbZZ3j99debvGZdIazpMAgiIiJqyMzIACsfD8Hwnk6oVglYteMKtp9NEDsWUZM0GlTx7rvvAgBWr16N6uqG8+598sknAIA33nijflYGALh8+TICAgIwY8aMRudUVVXhsccew8GDB3H06FG1PcLHjx9Xu4La2bNnERsb22j71atX8fvvv0MikeDVV19t/YskIiIitQzlMiydFoSHB3YDAHxzKBpf7o1EdQ2nDSPto1GxGxYWhpUrVyIqKgpTp07F5cuXERcXhyVLluC7777DpEmTsHTp0gbnrFu3DtHR0di6dSuuXbtWv72mpgZTp07Ftm3bYGBggKeffhoDBgxo9KduHPC95HI5lEolxo0bh/Xr1yMqKgoJCQlYv349Jk6cCIlEgs8++wyhoaGavEwiIiJqgkwqwUsTAvHMGH9IAOy+lIxlP59HUXml2NGIGtB46rG33noL/fv3xyeffILRo0ejqqoKPXr0wOeff46XX34ZMpmswfEzZszApk2bEBAQ0GBO3OLiYuzZswcAkJaWprb3tilfffUVxo8fj99++w0ffPABUlNTIQgCnJ2dMW7cOCxcuLDV44aJiIioZSQSCWaG+sDd1gz/2nEFV5Ny8eq601jx2EB42JmJHY8IACARBEEQO4S2KSoqgqWlJQoLCzttnt3k5GR4eHhwuhUdxTbUbWw/3cc2FF9CVhGWb7qIrMJymCrkWDY9CME+9i0+n22o28Rov5bWa3w3ERERUZt5O1rgi2eGItDdGqXKavzjl/PYfjYB7FMjsbHYJSIionZhZarAv+YOwri+blAJtQ+urdx2BaXKKrGjURfGYpeIiIjajaFchsUP9cGLEwIgk0pwMjoDf1t7Gkl3isWORl0Ui10iIiJqVxKJBFNCvPDx/CGwszBCal4p/va/UzgckSp2NOqCWOwSERFRhwhws8aaZ4chyNsOymoV/r3zGj7fE4nK6hqxo1EXwmKXiIiIOoyVqQLvzw7B3BHdIQGw93IyFq49jcSsIrGjURfBYpeIiIg6lEwqwRNhPfD+4yGwMjVEUnYxFv7vNLafS4SKszVQB2OxS0RERJ1igI89/rtgBEK6O6CqRoVvDt7Asp/PI7e4QuxopMdY7BIREVGnsTZT4J+PDcArE3tBIZfickIOXvjmBE7HZIodjfQUi10iIiLqVBKJBA8N6IbVzw6Dr5MFisqr8P62K1h7MhUFpUqx45GeYbFLREREovCwN8d/nh6Kx0J9IJUAF5IK8fy3J3H0ehpXXqN2w2KXiIiIRGMgk+LpMf747MlQuFopUFRWhX/tuIp3N11EThHH8lLbsdglIiIi0fVwscRbk7wxd4Qv5FIJzt28g+f+exy7L91GjYq9vKQ5FrtERESkFeQyKeYM7441zw2Hv6sVypTV+HLvdby67jSiU/PFjkc6isUuERERaRVPB3N8+mQoXpwQABOFHDczCvHa+nB8+vs1PsBGrcZil4iIiLSOTCrBlBAvrHtpJMb1dQMAHLiaime+OoadF5JQo1KJnJB0BYtdIiIi0lrWZgr8/eG++PTJIfBxtEBJRTW+2h+F5/97AmdiszhrA90Xi10iIiLSeoHuNvjy2WF4ZWIgzI0NkJJbiuWbL+LvP55FTBrH81LTWOwSERGRTpBJJXhogCe+f2UUHgv1gaFciuvJeXh1XTje33oJabmlYkckLcRil4iIiHSKmZEBnh7jj3Uvj8T4vm6QADgZnYlnvz6Oj3ddQ1oei176E4tdIiIi0kn2FsZY/HBffL1gOEJ87aESBBy6lopnvzqOj3deY08vAQDkYgcgIiIiagsvRwu8NzsEMWn52HDiJi7cysahiFQciUzFqF6umDXMFx52ZmLHJJGw2CUiIiK94O9qjfdnhyAmrQAbT97E+Zt3cCQyDUci0zC4uwMeHeKNXh42kEgkYkelTsRil4iIiPSKv6sV3ps1EHHpBfj55C2cjcvC2Zt3cPbmHfRwscT0wd4Y3tMJMilHc3YFLHaJiIhIL/VwscLyxwYgJacE288l4nBEKuLSC7Fq+xWsszTG5AHdML6vG6xMFWJHpQ7EYpeIiIj0mrudGV59sDfmj+yB3y/exu8XbyOrsBz/OxKDH4/FYXhPJ0we0A0BbtYc4qCHWOwSERFRl2BlqsATYT0wM9QHx6LSsfvibcRlFOKP6+n443o6vBzM8WCwB0YGusLc2EDsuNROWOwSERFRl6IwkGFCP3dM6OeOuPQC7L50G8eupyPxTjFW74vCNwejMbiHA8b2ccMAH3vIZRzbq8tY7BIREVGX1cPFCotcrPDc2AAcjkjFwWupSMgqwsnoTJyMzoSVqSFG9XLFmN6u8HWy4DAHHcRil4iIiLo8c2MDTB3khamDvBCfWYhDEWn4IzINBaWV2HEuETvOJcLZ2gTDezpjRIAzC18dwmKXiIiI6B4+TpbwcbLEs2P8cTE+G4cjUnH+5h1k5Jdhc3g8NofHw9naBCN6OiPU3xE9XKwgZeGrtVjsEhEREakhl0kxuIcjBvdwRHllNc7fvIMTNzJw/lZt4bspPB6bwuNhbapASHd7DO7uiCBvOxgZsrzSJmwNIiIiovswNpQjLNAFYYEuKK+sxrmbd3AqOhOX4rORX6rEgaupOHA1FQYyKfp62iLY2w5B3vboZm/G4Q4iY7FLRERE1ArGhnKMDHTByEAXVNWoEHk7D+duZuFMXBayCspxMT4bF+OzAUTDxkyB/l52CPK2Q19PW9hbGIsdv8thsUtERESkIQOZFEHetcXsC+MDcDu7BBfjs3E5MQeRt3ORV6LEkcg0HIlMAwA4Whmjl7sNAt2tEehuAw97M4737WAsdomIiIjagUQigaeDOTwdzPHoEG9UVtcgKiUflxNycCUxB/GZhcgqKEdWwZ/Fr7mxAQLdrBHoUVsA+zhZwshAJvIr0S8sdomIiIg6gKFchv5edujvZQcAKFNWIzo1H9dT8hCVko+Y1HwUl1fh7M07OHvzDgBAKgHcbM3Q3dkS3Z0t4etsCV8nCxjzoTeN8TtHRERE1AlMFHIE+9gj2MceAFBdo8KtzCJcT85DVEoeYtIKkFeiRHJOCZJzSup7fyUA3GxN4etsCW9HC3jYmcHT3hwOVsYcAtECLHaJiIiIRCCXSeHvagV/Vys8OsQbAJBbXIGbGYW4lVGIm5lFuJVRiJziCqTkliIltxRHr6fXn68wkMHDzgwedmboZm+Obva1/+9oZQyZlEsc12lTsbt//3588sknuHTpEpRKJfz8/PD000/jpZdeglSDb3JGRgZWrFiBvXv3IisrC46Ojpg0aRLeeecduLi4NHmeUqnExx9/jJ9//hkJCQkwMzPD0KFDsXTpUgwaNKgtL5GIiIio09iaG8HW3AiDezjWb8svUeJWZiFuZhTidnYJbmcXIzW3FMqqGtzMqN1+L6lEAkcrY7hYm8DZ2gQuNqa1/7U2hZO1SZcbE6xxsfvhhx9iyZIlmDx5Mg4dOgRzc3P873//w8KFC3Hw4EFs374dcnnLL3/jxg2MGDECBgYGWL16NYKCgnD58mW8/PLL2Lp1K06cOIGAgIBG55WUlGD06NG4cuUK/vWvf2HKlClIT0/Hm2++iaFDh+LHH3/E448/runLJCIiIhKVtZkCA30dMNDXoX5bjUqFjPyy+uL3dnbt0IfU3BJUVtfuy8gvU3s9K1ND2FsYw8HCCPaWxrCzMKr92tIY9hZGsDEzgkyqP8MjNCp2T548iSVLliAgIADbt2+HgYEBgNoCOD8/H9999x0+/PBDLFu2rEXXq66uxvTp05Gbm4vTp08jNDQUAODl5QUnJycMGzYMjz76KCIiIhoV0K+99houXLiAlStXYvHixQAAHx8f7Nu3r76nefDgwfD29tbkpRIRERFpHZlUCjdbM7jZmmGov1P9dpUgIK9YifT8UmTklyE9rxTpdwvfjPxSlFRUo6C0EgWllY16hOtIJYCliQJWpoawMVPAylQBazMFrE0VsDY1hJWZAjZ3t5kbG2p9YSwRBEFo7UljxozBH3/8ga+//hovvPBCg32xsbHw9/eHhYUFMjMzYWx8/8mTf/rpJ8ybNw+DBg3C2bNnG+0fMmQIzp49iw0bNmDOnDn122/fvg1vb28YGBggKysLlpaWDc5bunQp/vWvf+HZZ5/Fd9991+LXV1RUBEtLSxQWFsLCwqLF52lKpVIhOTkZHh4eGg3/IPGxDXUb20/3sQ11H9uwcxSVV+JOQTmyiyqQXVSOO4V//n92UQVyiiqgakVpKJUA5saGsDA2gEImYOpgX4zt696Br+BPLa3XWt2zm52djWPHjgGoLXr/ys/PD25ubkhNTcW+ffswbdq0+15zy5YtTV4PAMaOHYuzZ89i06ZNDYrdbdu2QaVSITg4uFGhW3fev/71L2zbtg3//e9/IZN1rTEqRERERPeyMDaEhbEhfJ0b100AUKMSUFCqREGpEnklShSUViK/VFn7p6T2vwUltduKyiqhEoDCskoUllUCQP1/tUmri92LFy9CpVLBwMAAPj4+ao/x9/dHamoqLly40KJi99y5c/XnNXU9ALhw4YJG5+Xn5+PWrVvw8/O7bxYiIiKirkomldQ/JKe+yvtTjUqFgtJKFJdXoaC0AvHJ6Q3GFWuLVhe78fHxAAB7e/smf83g7Ozc4NjmlJSU4M6d2omUnZyc1B5Td73MzEyUlZXBxMSkwfWbOu/e7fHx8U0Wu0qlEkqlsv7roqIiALW/UlGpVPd9DW1Vd5/OuBd1DLahbmP76T62oe5jG+oeCQBrU0NYmxrCzcYYFkIxXKyNO60NW3qfVhe7dYVgc2Nx64rRwkL1A5/VXa+5a9Zdr+6adV/fL4tMJoNCoYBSqWw2y6pVq7BixYpG21NSUmBubn7f19BWgiAgPz8fEokEEk4OrZPYhrqN7af72Ia6j22o28Rov+Li4hYdx0UlUPsg26JFi+q/Lioqgru7O9zd3TvtATVBEODu7s5B+TqKbajb2H66j22o+9iGuk2M9ru3w7Q5rS5264q/8vLyJo8pK6ud103dQ2NNXa+5a9Zd76/XvF+Wmpqa+uEJzWVRKBRQKBSNtkul0k5rsLp78QOuu9iGuo3tp/vYhrqPbajbOrv9WnqfVqepeygtOzu7ybESGRkZDY5tjpmZGRwcagczZ2ZmNns9JyenBkMa6q7f1Hn3bm9JFiIiIiLSL60udoODgyGVSlFVVdXkA2gxMTEAgIEDB7bomiEhIQ3Oa+n1WnqelZUVfH19W5SFiIiIiPRHq4tdBwcHhIWFAQCOHDnSaH9sbCxSU1Nhbm6OBx54oEXXnDFjRpPXA4DDhw83OK7O9OnTIZVKcenSJbUPoNWdN23aNM6xS0RERNQFaTSo4t133wUArF69GtXV1Q32ffLJJwCAN954o8GQg8uXLyMgIAAzZsxodM7s2bPRo0cPnDt3DuHh4Q32hYeH4+zZs/Dz88Ps2bMb7PP09MT8+fOhVCrx1VdfNdhXUFCAdevWwdDQEG+99ZYmL5OIiIiIdJxGxW5YWBhWrlyJqKgoTJ06FZcvX0ZcXByWLFmC7777DpMmTcLSpUsbnLNu3TpER0dj69atuHbtWoN9BgYG2LZtG2xsbDB9+nRs374dSUlJ2L59O6ZPnw4bGxts3boVcnnj5+k+//xzBAcH45133sEnn3yChIQEnD59GhMnTkROTg7Wrl3L8bpEREREXZTGj8u99dZb2Lt3L8rLyzF69Gj0798fBw4cwOeff45du3Y1KkxnzJgBOzs7jBgxAoGBgY2u16tXL0REROChhx7Cq6++Cj8/P7z66qt46KGHEBERgV69eqnNYW5ujlOnTuGdd97B2rVrERAQgIcffhj29vY4deoUnnjiCU1fIhERERHpOIkgCILYIbRNUVERLC0tUVhY2Gnz7CYnJ8PDw4PTregotqFuY/vpPrah7mMb6jYx2q+l9RrfTURERESkt1jsEhEREZHeYrFLRERERHqLxS4RERER6S0Wu0RERESkt1jsEhEREZHeYrFLRERERHqr8ZJkhLqph4uKijrlfiqVCsXFxSgqKuLcgjqKbajb2H66j22o+9iGuk2M9qur0+63ZASLXTWKi4sBAO7u7iInISIiIqLmFBcXw9LSssn9XEFNDZVKhfT0dJibm0MikXT4/YqKiuDu7o6UlJROWbGN2h/bULex/XQf21D3sQ11mxjtJwgCiouL4eLi0mxvMnt21ZBKpXBzc+v0+1pYWPADruPYhrqN7af72Ia6j22o2zq7/Zrr0a3DQTFEREREpLdY7BIRERGR3mKxqwUUCgXeffddKBQKsaOQhtiGuo3tp/vYhrqPbajbtLn9+IAaEREREekt9uwSERERkd5isUtEREREeovFLhERERHpLRa7REStcPnyZcjlckgkEhw7dkzsOEREHSY8PBx+fn6QSCRISkoSO47GWOy2s/3792PcuHGwsbGBqakpgoKCsHr1aqhUKo2ul5GRgRdeeAEeHh5QKBTw8PDACy+8gPT09HZOTnXaqw2VSiU2btyI6dOnw93dHYaGhjA3N0dwcDCWL1+OgoKCjnkB1O6fwzrV1dV4+umnUVNT005JqSkd0Ya7d+/GlClT4OzsDIVCAScnJ4SGhuL//u//kJGR0Y7pqT3br6KiAmvXrsXw4cPh5uYGQ0NDODg4YOLEidi1a1cHpKfy8nIsXrwYI0aMQFxcXLtcMzY2FnPnzoWzszOMjIzg4+ODN954A4WFhe1y/WYJ1G7+9a9/CQCEyZMnCxcvXhRiY2OFN998UwAgPPTQQ0JVVVWrrhcVFSXY2toKTk5OwtatW4WEhARh69atgqOjo2BraytERUV10CvputqzDbt37y4AEMaNGyccPHhQiI+PF06dOiXMmTNHACC4ubkJcXFxHfhquqb2/hze6/333xcsLCwEKysrAYBw9OjR9gtO9dq7Daurq4V58+YJlpaWwocffihERkYKiYmJwp49e4TevXsLAIRDhw510Kvpetqz/UpLS4WgoCABgDBx4kThxIkTQkJCgnDgwAFh0KBBAgDh73//ewe+mq7n1q1bQo8ePYRu3boJBw8eFAAIAITExESNr3n06FHB2NhY8PPzE/bv3y8kJCQI69atE8zMzARvb28hPT29/V6AGix228mJEycEAEJAQIBQWVnZYN9zzz0nABDef//9Fl+vqqpK8Pf3FwAIp0+fbrDv1KlTAgChZ8+ebfrBTQ21dxtaWloKISEhatto+vTpAgAhNDS0zbnpT+3dhveKiYkRFAqF8PXXXwvdunVjsdtBOqIN//73vwsymUw4d+5co323bt0SnJychBMnTrQpN9Vq7/b79NNPBQCCl5eXoFQqG+zLzc0VzM3NBQDCpUuX2iU/CcLOnTuFF198USguLhYEQWhzsZufny/Y2dkJRkZGQnx8fIN9GzduFAAIY8eObWvsZrHYbSejR48WAAhff/11o30xMTECAMHCwkIoKytr0fV+/PFHAYAwaNAgtfsHDx4sABA2bNjQptz0p/ZuQ0tLS2HNmjVq9937r+XU1NQ25aY/tXcb1lGpVMKwYcOE4cOHCyqVisVuB2rvNoyJiRFkMpkwe/bs9o5KarR3+7344osCAOHRRx9Vuz84OFgAIHz88cdtyk1/qq6ubvB1W4vdf/7znwIA4bHHHmu0r6amRnBxcREACKdOndLo+i3BMbvtIDs7u/5BlTFjxjTa7+fnBzc3NxQVFWHfvn0tuuaWLVuavB4AjB07FgCwadMmDRLTX3VEG96+fRsLFixQu8/Nza3+//Py8lofmBrpiDass2bNGly8eBFr166FRCJpj7ikRke04f/+9z/U1NRg4sSJ7RmV1OiI9uvbty8AIDo6GsJf1sCqqKhAYmIiAMDY2LgNyeleMpmsXa/XXD0jlUoxevRoAB1bz7DYbQcXL16ESqWCgYEBfHx81B7j7+8PALhw4UKLrnnu3LkG57X1etS8jmhDS0tLyOVytfvqHoYxMjKCr6+vBonprzqiDQEgOTkZS5cuxTvvvIMePXq0S1ZSryPa8NChQwAAX19fbNy4ESNHjoSjoyOcnZ0xduxYbNiwoVERRZrpiPZ75pln8MgjjyAqKgovvfQSMjIyIAgCEhMT/7+9uwuJ4nvjAP4ta9t83Xxr1QWzF0WNXliMIktIKi2JqLwoEqGSClNSguwqKgJvJbwJMUoqksSIUAwtKQyKjESsJFKSja2tFNNSs3z+FzL7b3/umukZi/X7gblwzuzxHB9n9tnZM+dg37596O7uhsFgwObNm5X1g9T5+vUr2traAPzdfIbJrgJv3rwBAISFhWH2bPd/0oiICJdjx9Pf3w+HwwEAMJvN49b3/v17fPv27Y/bTK5Ux/B3ampqAAAHDhzgHQlF9IrhkSNHnE8Nk75Ux/Dnz5/ON9qioiIUFRXh0KFDuH//Pi5fvoyBgQFkZWVh//79THgV0OMcnDNnDm7duoXa2lo0NTUhMjISBoMBixcvRnV1Nfz8/FBWVoZly5ap6QQp1dnZ6ZyB43f5jIr3Vk/c33aiP/LlyxcA43+N4uvrCwATmmJDq2+8OrX6tDp//Zn+nOoYjufDhw8oLy+HxWLBuXPnplQX/Z8eMayoqMDdu3fx+PFjj3fpSR3VMezt7cXw8DAA4MGDB3j27BlWr14NAEhISEBycjKWL1+Oa9euISUlxeOwI5oYva6jpaWlOHHiBKxWK2pqahAdHY2Ojg7U1dUhKysLa9asmVrDSTd/ks/oOQUZ7+wSTaORkREcPHgQQ0NDqKysRHBw8N9uEnngcDhQUFCAwsJCWK3Wv90cmoRfv/XasGGDM9HV+Pr6IicnBwBw4cKFaW0bTUxpaSmOHTuGiIgINDQ0ID09HQkJCcjIyEBxcTF27dqF48ePOz/UELnDZFeBwMBAAKOTMHuiXXSDgoImXN94df56EZ9InTQ+1TH0JDc3F/X19aiursa6desmXQ+NpTqG+fn5MJlMOHPmjJoG0m+pjuGvd5ISEhLcHqN9kGlra+OQsCnS4zpaXFwMAMjLy8O8efNcyvz8/HD06FGUlJTg1KlTk2ky6exP8hk9cxkmuwpoA/E/fvzocXUY7YEkT4P2f+Xv74/w8HAAo2Nyx6vPbDZzCIMCqmPoTkFBAa5cuYI7d+5gy5Ytk2soeaQ6hjdu3EBXVxfCwsLg7+/vsnV1dQEA0tPTnfuuXr2qqCczl+oYmkwmGI1GAPD4LUpAQAAAQES4quEUqY6fw+GAzWYDAMTHx7s9Rtt/8eJFrmz4D4qJiXHOYPO7fGay760TwWRXAavVitmzZ2N4eNjjAOtXr14BAJKSkiZUpzYGSXvdVOuj8ekRQ83IyAgOHz6M8vJy1NXVOaeNI7VUx/D169d48eIFnj9/PmaLjIwEAJSVlTn37dixQ11nZijVMfTx8cGKFSsAjI6Vd0fbP2vWLJhMpkm0mjR6Xkc9TfmnPQjX19fnMj6U/g1+fn5ITEwE8HfzGSa7CoSHhyMlJQUA0NDQMKa8vb0dNpsNAQEBSEtLm1CdmZmZHusDgPr6epfjaGr0iCEw+jR4dnY2bt68ifr6eiQnJ7uUZ2dnO6dGoqlRHcOlS5d63LSH1aKiopz7tDuENHl6nIc7d+4EALS0tLgt12ZrWLlyJb8lmyLV8QsNDcWCBQucr3VH2z9//nwO6ftHjZfPjIyM4N69ey7H6UK35SpmmMbGRgEgiYmJY5aH1ZZIPHv2rMv+5uZmiY+Plz179ox5zffv3yU2NtbtcsFNTU0CQOLi4rhcsEJ6xHD37t0SHh4uLS0tbn9ndHS0XLp0SWk/ZjLVMfSEK6jpR3UMP3/+LCEhIQJAHj165FI2ODgoFotFAEhFRYU+HZphVMcvLy9PAEhsbOyYssHBQee5yBXy9IMJrKBWW1srS5Yskdzc3DFl3d3dEhISIkajUTo6OlzKtOWCN23apLrZLpjsKnT+/HkBIBkZGdLc3Czt7e1y8uRJASDbtm0bc6Lm5uY6/4mePn06pr7W1lYJDg4Ws9ksVVVV0tnZKVVVVWI2myU4OFhaW1unq2szhqoY/vjxQ7Zv3y4AJCoqSqxWq9vNYDAw2VVM9Xmo6evrE7vdLna73ZkgVVVVid1uF4fDoXe3ZhTVMayvrxej0SiRkZFSWVkpb9++laamJklNTRUAkp+fP11dmxFUxq+3t1eSkpIEgGzdulUePnwoXV1d0tjYKCkpKc5E2G63T2cXvZ7D4XBe77TYPHnyxLnvv7T3OwDy6dOnMeUNDQ1iNBolLi5O6urqpKOjQ8rLy8Xf318WLVok796907U/THYVq6mpkdTUVAkKChJfX19ZtWqVlJSUjFlrWmT0E3BoaKhs3LhRBgYG3NZns9kkJydHLBaLGAwGsVgskpOTIzabTe+uzFgqYtjT0+M88X+3MdlVT/V5KCJy+vRpjzGMjo7WsTczk+oYtre3S3Z2tkRFRcncuXMlODhY0tLS5Pbt23p3ZUZSGb+hoSEpKSmR9evXi8lkEh8fHwkKCpK1a9dKcXGx9Pf3T0eXZhTtjrmn7b+uX78ugYGBkpmZ6bHOly9fyt69e2XhwoViMBgkJiZGCgsLpaenR8eejJolwmVjiIiIiMg78QE1IiIiIvJaTHaJiIiIyGsx2SUiIiIir8Vkl4iIiIi8FpNdIiIiIvJaTHaJiIiIyGsx2SUiIiIir8Vkl4iIiIi8FpNdIiIiIvJaTHaJiIiIyGsx2SUiIiIir8Vkl4iIiIi8FpNdIiIiIvJaTHaJiIiIyGv9D32T8BfISeqBAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_fit.distribution(fit_summary= fit_summary, fit_type= 'norm')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 167, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1])" - ] - }, - { - "cell_type": "code", - "execution_count": 168, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 169, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 170, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=bigM, label='Wind mill array', basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=bigM, label = 'Solar PV', basis = 'MW')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": 171, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {WF, PV}, scales=scales, label='Houston', demand_scale_level=0, capacity_scale_level= 0)\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= houston, scales= scales, expenditure_scale_level= 0, scheduling_scale_level= 0, \n", - " network_scale_level= 0, demand_scale_level= 0, label= 'full_case', demand = {houston: {Power: 150}})\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 172, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "lp = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, \n", - " objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 173, - "metadata": {}, - "outputs": [], - "source": [ - "lp.del_component(lp.constraint_demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 174, - "metadata": {}, - "outputs": [], - "source": [ - "c_dict = {p: norm_constant(p, mu, sigma) for p in [0.80, 0.90, 0.95, 0.99]}" - ] - }, - { - "cell_type": "code", - "execution_count": 175, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0.8: 1.3599909086294988,\n", - " 0.9: 1.2716499653988471,\n", - " 0.95: 1.2297009036373943,\n", - " 0.99: 1.1973841893513881}" - ] - }, - "execution_count": 175, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 176, - "metadata": {}, - "outputs": [], - "source": [ - "lp.chance_demand = Constraint(expr = lp.S['HO', 'Power', 0] >= 150*(mu - (1 - 0.9*c_dict[.90])*sigma))" - ] - }, - { - "cell_type": "code", - "execution_count": 177, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "chance_demand : Size=1, Index=None, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " None : 54.48406086764844 : S[HO,Power,0] : +Inf : True\n" - ] - } - ], - "source": [ - "lp.chance_demand.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 178, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 46 rows, 45 columns and 86 nonzeros\n", - "Model fingerprint: 0x12a9a3fa\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [5e+01, 1e+06]\n", - "Presolve removed 45 rows and 43 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 1 rows, 2 columns, 2 nonzeros\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 0.0000000e+00 6.810508e+00 0.000000e+00 0s\n", - " 1 5.4426526e+07 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 1 iterations and 0.02 seconds (0.00 work units)\n", - "Optimal objective 5.442652570e+07\n" - ] - } - ], - "source": [ - "results = solve(scenario = scenario, instance= lp, solver= 'gurobi', name= 'results', print_solversteps = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 158, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'P', component= 'WF', location = 'HO', fig_size= (9,5), color = 'steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'Inv', component= 'LiI_Power_stored', location= 'HO')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "# results_cost = load_results(filename= 'results_cost.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "from pyomo.contrib.pyros import BoxSet" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "weather_scaled_df = min_max(weather_df)\n", - "demand_scaled_df = min_max(demand_df)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABmbklEQVR4nO29eXwV1f3//7pJSAKyyhIUo7hV6gYKleLybftpKh/rz9Z+Pm35qBVKq9VWPh+UT6tSFWr70VCtSqsoiiLWDdQqbghCZJVAIBD2PYSEQDZC9uXm3nt+fyS5ucvMvbOcmXNm5v3sgwpzZ+a8Z877vM9rzupjjDEQBEEQBEEIIkW0AQRBEARBeBsSIwRBEARBCIXECEEQBEEQQiExQhAEQRCEUEiMEARBEAQhFBIjBEEQBEEIhcQIQRAEQRBCITFCEARBEIRQ0kQboIVQKIQTJ06gX79+8Pl8os0hCIIgCEIDjDE0Njbi7LPPRkqKevuHI8TIiRMnkJ2dLdoMgiAIgiAMUFZWhnPOOUf1d0eIkX79+gHofJj+/fsLtoYgCIIgCC00NDQgOzs7XI+r4Qgx0t01079/fxIjBEEQBOEwkg2xoAGsBEEQBEEIhcQIQRAEQRBCITFCEARBEIRQSIwQBEEQBCEUEiMEQRAEQQiFxAhBEARBEEIhMUIQBEEQhFBIjBAEQRAEIRQSIwRBEARBCEW3GFm3bh1uueUWnH322fD5fFi6dGnSa9asWYOrr74aGRkZuOiii7Bo0SIDphIEQRAE4UZ0i5Hm5maMHj0a8+bN03T+0aNHcfPNN+N73/seioqKcP/99+Ouu+7CihUrdBtLEARBEIT70L03zU033YSbbrpJ8/nz58/H+eefj2eeeQYA8M1vfhMbNmzAc889h4kTJ+pNniAIgiAIl2H5mJH8/Hzk5OREHZs4cSLy8/NVr2lvb0dDQ0PUHy+wufgUympbhKX/r8LjWHewWlj6BEEQhDexXIxUVFQgKysr6lhWVhYaGhrQ2tqqeE1ubi4GDBgQ/pOdnW21mcLZdbwek17ZhBueWi0k/eLqJvzv+zsweWGBkPQJgiAI7yLlbJqZM2eivr4+/KesrEy0SZZTdLxOaPq1zf7w3xljAi0hCIIgvIbuMSN6GT58OCorK6OOVVZWon///ujdu7fiNRkZGcjIyLDaNKmobfInP8lCfL6evzMW/W+CIAiCsBLLW0YmTJiAvLy8qGMrV67EhAkTrE7aUTz/1SGh6Uc2hlC7CEEQBGEnusVIU1MTioqKUFRUBKBz6m5RURFKS0sBdHaxTJ48OXz+vffei+LiYjz44IPYv38/XnzxRbz33nt44IEH+DyBSwiExEqAyNSpm4YgCIKwE91iZOvWrbjqqqtw1VVXAQBmzJiBq666CrNmzQIAnDx5MixMAOD888/H559/jpUrV2L06NF45pln8Oqrr9K0XskIRYghkiIEQRDOIBhiuH/xdrz+9VHRpphC95iR7373uwm/nJVWV/3ud7+L7du3602KsJHolhFhZhAEQRA6WLm3AkuLTmBp0QlMve580eYYRsrZNG6mrLYFv3h1M9Yfkms9j+gxI6RGCIIgnEBDa0C0CVwgMWIzM94rwobDNbjztej1PFIEz16JFCDUMkIQBOEMQi4J2CRGLCQUYth4uAb1rR3hY9WN7Yrn+kTPpXWHPxMEQXDng8LjuH3BJtS1iF2CQYkU0V+ynCAxYiHvF5bh9lc34yfzvg4fUxMdot0pcjKP3Uo7EAzhT5/swYo9FbamSxCEO9l3sgH/8eLX2Hikhsv9fv/+Dmw8cgrPrTzI5X48SRH9IcsJEiMW8vmuzsq1uKY5fEzNb3j605oDVZj54U60+oOarxHZTfPR9nIs2liCe94stDdhgiAcQyjENO/ddfc/t2JbaR1uX7CZqw3VTcot24R5SIxYSC+F5jM1zeHj2Dbyy9e34N2CMry09ojma0QueiZbAQ8EQ1i1t1LKJlmC8CqPLN2FG55ajX8VHk967ulm7WW3vqUDv39/B/KPnEp6Lq8Ptbc2HcOcL/ZzWdPJTM1xsr4VP573NT7clvydWg2JEQtRau1QbVKzoKWt/LTyRoTJsHvRs1RBzYyNbR1Yvvsk2jqiW5AWbSzBXf/cip/OV99ZmiAIe3m3oHOPsqdXHEh6rp4xeHOW78MHhcdx24JNSc/lFRofXbob89cewc7j9abvZSZ8/t9n+7CjrA4z3tth2g6zkBixFIWWETXHsaD+1yMqovam4W9KQkSNnf3d29tw71vb8OfP9kYd/2znSQDA4aomEWYRBJEALWPa9Ix7K9XY9WMFDW0dyU+ykKZ2eaYFkxhR4K1NxzDzw51Rq5IqEQiG0BEMqf6uq2VEMJHdRFrLcXldK77YdTLpe7KSivo2/O7tQmwqTt7EGsv6Q52D297ZXBp1XNIsIgjCAnh2ketF8C4gwpeUiITEiAKPLt2NdwvKsPpAleo5jDF875k1mJD7FQIJBEksas2Hg87opdvOZOjx8yizNF543Zyv8Nu3t+GTHSf0mBWHmabPP360C8t2VeC/XknexKoViconQRAG0BNTkn18bC2pNWdMAnjMXIy0/+cv5yOoQ+EIX1IiAhIjCUjUhNbWEUJZbStqmtpxsr5N8RylbFbL+l+MP0+/gUnQ1U0TeZ3OjhMtA78SYaZAHj/Nv4lVpgJKEIR+9MSwROU9FGKWjh3jPT6v4GgtNutoJaaWEYeQyE8a23uEitqOu0o+rub3Gb34Z4UuN48cM6KzfKRwNH32x7v1pc1JOEQGBYnKJ0EQMWgJT7paRhL8FvuhxGOrjOW7T/bcX0Oj+qHKRnxcVK4qXGK7mYIR5z29Yn/CmCrT4q0kRhKgllHHTjXjmifywv9W+7JX6ou0c8yIUUfTe5lZh44sZG/kH0PpKe2tHbze5+/f3xn+e+QtRz78OW55fkPCsUEEQcgFr24a3nX1ttLTuPetbeF/a2kV/sFz6zB9cRG+2q8+bECJQDCEeauPJIypEmkREiOxfLHrZNJzYue5q1WIygNYDZllCD2OFvkMepsOzfZ7xl7eGjPVNhRiqNWxboASu8vrcdsrm7CjrE7x939FzLOPFZG7yuux0WRXFEEQ9qGnBSPRBw3v1aj3nmiI+reeu+8q1zYNuNvkyBaStoDyAph2L+OQCBIjERyuasJv3+5RrWrdD2mp0T/oERiR/ZMVKmNNeGF8zIi9xKYXOwBryusFuPovK7FLYU6+lmDx4bbj+P+e34D84lO49cWvk56vhJ5BygRBWIfe+vPvqw4l/D1R+OZdV5sRN2qzftS0VE1TzwecWrrySBESI1GcrNe2SFhqjPrQ4ySRx76dmxd/AkeMOpposRxbcMJTcAuOxZ2rxdbIBX00PZtCvol+JwRBaCeyvD63KvF+MnaOV49NSk9c0dra4/MBR2uacd2cr8LH1Fp/ZIprJEYiSNM4ElOr8+qZvy5yrnssPAZp6UpPY3JKBcoKW5VyQsk1GGM4frpFqqZOgnA/yctb7BnvFpTi5/PzVbZ4UI+9sUU7WVFfsacCsz/erdqSGj9zh3/sYAz4fGf0cgv/zC9RtEmmyEViJILYFg81x4sVDqoVolLLiBHDbEamuvX5vJ4m1tj8AayxVblFK/7gi2uO4Pq/rsazEu7kSRBeJvYDYeaHu1BQUosX18Tv15Wom11vt8o9bxbijfxj+EBl/xwzrTCq9ZHCTVNjvp7e2lSKt2MWd+y8pzzBnsRIBLF5qp752s4TjR6/j3wEu59HrYBWNbbhmYiKXrllxB6U0u7eI+P5rw7bZAVBEFpQiwvNCsufWzGbprJBefNPu2ZTpikoLK0DYEVBYiQCrQ1oWtwp/8gpfL4zfmaOnQtqGR4zYnPjndob6QhG26HUMsJ7tHunPUpTsrknQxCEAfwB44PJFVs9I8p7fWv0Qpe8Ww7MjBnRlY7GeCXThzSJEQNoyWgtO0DqvadbUWtpilX3SmLECt2UbE+heasPI/eLffwTJggiKQ1tATy9Yn/Cc9TCqVLLROSh0Y9/GfVb7HqWZsNNXKzTca2ej2Olj16l8+z+8EwEiREOyJOd0ThF32htLRLZTRNOjzE8veIAXl5bbHPKBEF0M291z9iPto4gPi4qx6mmnq4RtZiSTIzwQq2Sj7Vrf0WjbeM2lFKhlhFJif9C17ayqkyDgJxGW0cQS7eXK/4W+1pTFbzVkm6aBMFJzyZU3WwuPoW73thiyT46hD4+LirH794uRKtfeREoQp1Veytxz5tbcdrkAoS8eW7VQUxfXISfRewho1aEk3XTWE2sGPpH3iF8qtCdr0YwxPDz+fl46APlFaOBTtHhlA/RSEiMJCCy2vEHQuEA5vYuFTu11XMrD+JQVZOyHTFaPlWpZcSKbhqFotwteoIGEpz0yias2leF/41Y74QQw/TFRVi2qwKvbaCWLb3c9c+tWLGnEn9dnriLxG6W764AABTXNCc9V3EAqQXxXClWqSW1ZEvnLJffvlWIX7y6GSG1Dx7GUHjsNApKarFkaxmAztWpdyosBqlyudSQGElEROb97OV8jPnzl4o7+erJY1l1jAhHbesI4uV16pVCrE0pdg1gTbDomZnkymqpZUQWTkn2de8kqhqVZ4qIQnnMhI5zeRqTLH2V2NIRDOGL3RXYcLgGxTXKH2dAfMvsP/NL8IpCDFVMR6GmkunDOk20AXKhnjPde5oUHjsd95vsitNqjD7/L18vSPh7rNCwq2UkEUa6abrxuJtIhdfLrJvQM0NR6xpCamj1G7V7Kh0uOFobtR+XP6CeSOz1b26KX5XaqVDLSARafNIH+qrixabi2oS/xxZ8kSq+2xRze0sQhPORbYyccmuHHoGh/3m+2l+J9YeqVX9XW09E6XggxDDtne0956jUykpjQVRFj6plsefJE5VIjEQQv85IvJP+8vUteElhFT/TaXOqadcc0LfNtBJ6iyZvkdD93uPFiD0FRykdK7qDCHEs2liCdQfVKxMimnve3CraBH2ohAoTDZth6lr8+NWirbjztQJ0RCyx/vLannpBbV0itRgW6YuJFkaLvJ4xpktKtHeEMPvj3VEiKjIp0SKTxEgCtOeN8Uz83duFXJ3gl69v0XQeY0x9oJRgul9HrAAQWlg4JC3n2/Yukxcm7iYkelixp1K0CYqs2lupaeBqN0ohJOFHjsL5kQujdXfbVja0IfeLnoG9esasxKJ1gUXGEo1Nif/h810n8Ub+Mdz5mrLf3/NmobaELYLECAfM1JHLdlVgW2kdN1u0wBjDz1/Oxy0vbOAiSHhrBD1dIlY0lli1OJDsjStltS14ee0RNCoM0ibkJxRi+NMne/BxkfJUedk4XNWEoq6xeEa565/KLTZqYYFHC2f+kVNxx2KniuvZyV0rjEV/kLEE6Rjhy71iBScNYI0gVk12Z3uyL3Kz7t2hssOjWdQUf2tHEFtKOgfilte1IvvMPlGVrejmuu7041Y/VDDLro3ywrNp+CcXZsWeCqzeX4XHf3wZMtJSLUxJmVvnfY1TzX4crGzCMz8fbXv6hDm+3FuBRRtLsGgj8OMxIyxLh1cZyHl2LQBg08zvY/iATE537cSqHt38IzVYtS++0ta654y2eKV+r+g9xJhUs2HMQmIkAnU1zTGNBBUdb7Qu2iYbTOFvdqLYMsKlmybxTbqbSS8a1hd33XCB+QR10j0w++vDNbanTZinrsWeFi3e8erYqWb+YkQlxpn90GpWWSwvfuExM+moX6vFfD0ixc690pJB3TQJ6FlbIknLCIfCaadLRA9a4ns/noga0qJUQI2a8n7X4kSA9nddLXgdB5n2qyC000tpiWIHoFTOQyGGg5WN3Me1abmblS3DWmLlvNVHFFvLWdf/ev5tfjaNTDjTey1CzVGSuaaswVvLXHcefajcx4zoWGDMLmHfHaD0PusfIpZt1nypEyMJIRzbygKHeyQTGblf7MONz63DUysOcEgtIl0NBdhIPItdkNFMTPxoezne2Fii/GPsDEPjyXC5nickRhKgVWTI3LqgmFaECyqZLn6gpbIBIs2ys5VGdDea+Py3D9Hjo3giUYt7UiK3VVCye8H6owCA+WuNLaOg+mGpIbuNfKDxfvV7TzQoHo8eM2I+z2XyGRIjEcRWAh9tK7dscGkkIltWZAzGaibZNYDVKrSv3mitHbG0dQSj/NxBr9Q0D/1rZ/KTHIJoEasVO2ZrmRn/Z8T/Y8us2TLcoWJoZAxhSDA2RCaVoRESIwnYeuw0Xv/6aNLz9FSIMgSM2H7H6L8QyvB4QdruYaeHtPqDuGz2Cnz36TXhY04SeGZ5b+tx0SaYpqK+De9tKYPfhg8ns6zaW4kr/vQl/hbR/WLNjDjjpSi2wteUXtxO7oaTB6DejRVrj+oUYnPJC4Fm00Sg5L/rD9Vg6nXnJ7wu0kHaOoKOCuYy2hqeUq0hENj+AWDifcnYMrKvogHBEEN5Xat9iRKGaesIYld5Pa4+dxBSu8Yp3PLCBlQ3tmPEwN622GCmNfVPn+4BgIQbZPIgWYPB618fxRnpafj5t7I1rbytmk7XxVoXKjND5zoj0f823U1j7nKuUMuIBpKVvSkLt6CxrQPBEMPls1fgm7OW605DlFPI2E0j68qwdmFn65nyVufeev9PLd+f/CRJ+O93t+Nn8/Pxj7xD4WPds6+sEpTtgZgFvRzYBdANY52rpT7+6V48+K+dihtf6gmJ3eeqrVEVi9myHXtf5+ZEPCRGOFDT1I4XVh9Gsz+AgJGKVGDsd1K1I+usJa1otd7OWJ+q8EknoT61lBct2GvKKlZ2rZK5cEPy7mNenKhri/p3t8e0+oNRS6NrQevW9lbS3B7oSVvB2Y34v1X7c8Ud17h7KK0z4kK0ZtapJmfu5Ou1ikcLVhVPra1QVoeHqsY2bC7uXNKa8t+ZdITEjQ/pDomj//wlRj/+JZoiKvdIQiGGrw/XoL5rMbay2haU1Sq03ljhgwkKUWRMV/p2lGHrB8XB+grnqLVram2BkUeKkBiJwoxIDARD2jJW8ctAHErT2LxeQSWa7mwmUGlfZ8TaEHHNE3mY9MombDhUEzXF0mjyb2wsieo28Dp/X3UI/8wvsTQNpe4FK2hs68D3/rYm6li3e/gDnYLoUGWj4rXvFJTijlc349YXvwYA3PT39VaZqQMWNb5DqTzLHP+idu1NEFEkavDQDIkRTsjov1r8UeaC51XsiiPrD1crilE9TbeMMcz+ZA+eXXkQZbUtPM1zJCU1zXhu1UHM+niPaFO48MmOE3HHtPrHp13XHu3aVVetBcVuotZZUlr9VUdQtLPSVzLL7MBZmUQLiZEk6BngqaWQqo/y5u8VapYrTV2TUZPEvnq7hJN13TQa0xcc4CKTX7m3Ejf/Y73q12/k9c1+OSobkdhV4dpVFpQGOMfPPlFG8+Zx+kwyiU9X+dL6nq1ahToWX8w5Mo35MAuJkQhUN1fSUFw0O62Wc2xsrqCWEfvQmq9zVx3CyIc/t2WQotJXYGQlcvc/t2LPiQZMe2e74vXkPmLgsY2DFpQEhfrqpgy/+edWPNS1BUKKxtrFkkdRvWf0D3a9x260agdNdQ4SfNxqtkgeSIxEYEZkJnKMpNdymC+uhGF7JK1ilKyy+8PATOzSe+mfP9uLgMULWSlNo65oaMOKPRVRxxpUVs2MDOYyLOgnkoa2DkxfrCzarOKRj3YpHr/nza1R4nfOF/sxb/Vh3fdXjgXKC3wdqW7Gl3srsaRrc0it/pAs3ry3tQyf7zyp6V5a4L1RqBJWxNCEK67GoD0uylNmSYzYjGzjOOz+MuCNo8w3YOt3nl5j2borPvhUl8e+583CqH+r+YnT/Ycnf191CEeqm21Jq/utv725VPH3FXsqcaK+c0puWW0L5q89gqdXHNDtS4rdeCpBLHJQbVtHkFuF/OAHO3HfO9u43AuInU2jvYJXvJfAypyp2a7jtcvUy0NihCMyZaxWqC7RhqjXVF7XijqNazlU1Lfhw23H4/ZTCgRD2Hm8Dh3BEEY+/HnUb1q7jtTqMPKfHioa2pKfxAlNG751ZZrfxL5DydtFlBn12HKcbrZ+DxpVEmyUFzXuAnx8mHdLiObxZSbFkExVFi0HH4Gpbhqta0jIlPuQ88u22yIJTTOF0cfpnkKZjB/P24DKhnYcP92K//n+xeHjjy7djcVbynDdRYOjzvf5tNuk5t9W5dFjS3djcN903J/zDc3XFBytxQNLivD4jy5DzqVZ1hjmQFJiWgJSdVRBelpGYivkvSeVd57VkoaVRL4PLet5SANT2HFdKS98zuwypZaRCFQHsGrwTu1BPf7YnQs340BFz2wFEYUhds8DXdfyNSVBQubXxDBtgplrLY66lQ2dy4J/sTt6vMfiLZ19+F8fPhV1/KU1R7DzeL2me6uZHjVmhFNeHK5qxJubjmHuqp61SxhjmPnhTjy78qDqdXe9sQXlda24659b+RjiEiKzRcvHx/LdJ/F83iEwxhS/+OPjZOc5Wn0pFjvjnc8XO2bEXOrqK6Wauq0qseNdFIuctGoqMdQykgTNU6fMDGxk6n2/hP1YJXCMuoiRJmDGGCYvLEh63l817sti55iRgqOnw39/avl+/P7GS3CgshHvFnSKqhk/UG4tiTVl7qqD+KDwOD763XUY2i9Dtx2dffJmdn81dz0vkrUExHLvW53jM644Z4DmSrXgaC0e7JpFoxdLRHqCbsX46bH8k1dDa1Ja34iq7eLdTjfUMhKB2X4/LU1jWhxfxs3rEsHb79Xup/RWnPSqrLS1MWK2iw/AqWY/1h+qwfpDNVzurzZmJPI4Dz/YebwOf4yYIfLimiNYtvskWvzBBFd1kp4WHc7mrjqE46dbMX+t/r1nZn+8G9/92xpT64a0diS32QyRramJiIw53eJRS4wpr2vVHIvy9lVqOk8KYt5HokfUXGRtiENxMzaZep3jQC1CYiQZ+hY9s9AQGxFdv4tO3yqM+kcyF2z1B3HFn77UdY1eVFtAOKfzSVH8ip+VDe04WZ98R1q192uk9eaN/GM4dqoFH3RNU9VETDLdK49axcS56xL+3rOjbM+xEOucXfOtJ/LwvIYl/O0oi7M+3hMlpq0mbtyFhGgbGmBuJpBskBjhBM/R1LIWEDWsslfG9U7MtFoZvTTZZbGVnhUBSsuYER68qrDQ25oDVaqLrkWj/OBaVwJVwsysal6vhjGG6Yu34/FPjS0xHzuA9blVB1HT1I5nEoy/6UxXbYBn/EEzj1pa24JnvkxsC08i7Vea2uuk1lY3iREaM8IJJzlwJA41O0yywlhc3WSPIRYiQ7edmg28B7BeNKwvDldF55nWria19M3s36HrzVtUMRTXNONjhRajZDAw+AMhzPp4d88xC9bQ6xQt5nyUeysS78EZEsBiBrywRN00DlQp1DLCCQnqC1PI1Aqh2iNgwMR/e2atOWNMpM0LvWlb0jKi4TiPd/T/Lh5q/iYxaAnMBysbMX/tEbQHosd56Kpk5SlCYd7efAyr9lWF/x1iTHG/GSUYtPnST+fnh2dyGYVXC9s7OicC8FpP0PSAUwN3VMsfBubIMSPUMhKB8px6vtmqZZArr4rP+BgFfQaIdHy7RYKE9U1cPluxxoCW2TSi303kU//ls72Kx9W48bnO8Rct/iBuuyY7fFyGj4w0E007sQux6V1xVOupSrv76oGXGPnjR7tw+/hzVX9nDFGOatVHGGMMHcEQHlu6GxMuHIwfjxmh83rl405cP0QrhlpG5s2bh5EjRyIzMxPjx49HQUHiKYRz587FJZdcgt69eyM7OxsPPPAA2trsW63QDmRqWUgG9x0m+d6OiEGGhem0rMAq2s7ISva1yLEnOuL38t0nMSH3q/C/I8v11pJa7Eq0loZkYw+U0m9sC+Azrfu8qMx7teK5Qry7j8QXGXy0rRyLt5Rh+uIiLveLfe9qU8edKlh0i5ElS5ZgxowZmD17NrZt24bRo0dj4sSJqKqqUjz/nXfewcMPP4zZs2dj3759eO2117BkyRL88Y9/NG28bHAbsCZDSRJI9/PHFT6lBZgsKXfWFGaj+dr9HkIhhl+8uhkzP0y8noM1A1g1tIwIdlu1IKxnAOvByujxKt3PdLrZj5/Oz8ctL2xQbznU4K92wgDsOxk9/Xf64u2apkl3Y1e1JkrIKiZrwBSl+5xu8eu/URI0LQ3h0PpDtxh59tlncffdd2Pq1Km49NJLMX/+fPTp0wcLFy5UPH/jxo247rrrcPvtt2PkyJG48cYbcdtttyVtTXEaogMxwRO5MrM7UO8sr8eGwzXhxb9kQNaWkajjJu7Z3SJU3WRuTIQIFm44inUHq6OO7dCxSqr6mAT+CBMjyX5PYlei8W2pJrrXlG4bN+snwfUOHL+qT4z4/X4UFhYiJyen5wYpKcjJyUF+fr7iNddeey0KCwvD4qO4uBjLli3DD3/4Q9V02tvb0dDQEPXHDhSnsQkoJHYm6aS9GWQQfCJsSJZk/JgRC2zQMLXXrnfT0NaB97eWoV7jBoJmMPOVKdpf39x0zNT1iWZr8MaijakVsSspM2JECwkXa5MgVupF1wDWmpoaBINBZGVFb0KVlZWF/fuVl5W+/fbbUVNTg+uvvx6MMQQCAdx7770Ju2lyc3Px+OOP6zHNUnjuTSOrYpXKeYXbotBPLtCobkEcOZAxGGKWBzstiPCbK7sWeHv96xIsm36DpWmZqYyFu7FJVLeotwDuLSNad/Gw0IGVBx6LL7OyYvnU3jVr1uDJJ5/Eiy++iG3btuHDDz/E559/jr/85S+q18ycORP19fXhP2Vl4pqltc6mkaoyJ1xFt2+lxoiRbuIqTAtqEDX3Ftk1E7srrJVhXmnwYKJ/uwX7xozYk47yxn/W3DfFxMfCV/urcKgy8XL/iT6QbNhSjTu6WkaGDBmC1NRUVFZG70NQWVmJ4cOHK17z2GOP4c4778Rdd90FALjiiivQ3NyM3/zmN3jkkUeQkhKvhzIyMpCRoX9jK7HIlK2JiXZi59jtVboDddSOnRH5FhuUfArHrEKmOtiuhZ62l9XhnjcL8cgPv4lbrxqBmR/uxJaS0xg5uI8t6duFnVkbMqBGvtqfYD8cjbdjzJrnZIDm9VzUmLpoCzY89G+JE3ERulpG0tPTMXbsWOTl5YWPhUIh5OXlYcKECYrXtLS0xAmO1NRUAO79mnA6smaLDGaJ6K7pTjNqT41E/cUA/vOljRZb1YlMs2nU4K1R7n2zENWN7bh/SREA4N2CMhyuaopaXAxwfnxT29HWiscKGhAjv1q01VBayeznVcbNtIwAQEV9/PIXmoYM6DBfpk4j3YuezZgxA1OmTMG4ceNwzTXXYO7cuWhubsbUqVMBAJMnT8aIESOQm5sLALjlllvw7LPP4qqrrsL48eNx+PBhPPbYY7jlllvCokQW7Kho5NuuWiZ37MTZIVwdo0FcaQ2GyHvFdtOU1DTbMrgTsHfgYTLUyhbvyjMg00NbjNKYGcYYnlquPEbQiVgVAc3siaSF+5cUIS3VPYuo6xYjkyZNQnV1NWbNmoWKigqMGTMGy5cvDw9qLS0tjWoJefTRR+Hz+fDoo4+ivLwcQ4cOxS233IInnniC31NYjBaRIuNHkIQmmcJJS7JbgVo3jR2of+WbsyMYYkjxOWsvDa0tHhK4jCkYoFhTrzlYjbz9yutKOY3krSTG7sMjXiS7xcYjpzBiYO+44w4qSlEYWg5+2rRpmDZtmuJva9asiU4gLQ2zZ8/G7NmzjSTlGHgGHnsrPhbx/9HHCDno6aaJOBbZMmL9+FVVIhsJ9AqkFn8A339mLUafMxDz7xxr2hbZgrAMAtYsSq/USJeKTNg3nkphsCxnHw0oNJs61e9obxoXI1ls1kx3YZKyUAm0KTKQJZrFYkW+hxiwrfQ0rj53EADgRF0r7nmzENdeONjwPb/aX4WT9W04WV/BxUb1HUy53D7ifk4tWfpw+pgXJbSs6mxn+kQP7ulwEgxjzLHL8BLJSZazj3+6xwYrIgaw2pBaLLcv2BT+++Of7sGu8nq8vK64xyadRpmdbRCLXWNG3FhJq+FY4WXCbA9lr1Q1FomRCOxwQhk2MYp8TpkLXtx27oprBIh/n0DnAlzJMPqqu/MoasxIgptZVYG0dfQ0CTe3a9/fRA2zsw3sxNiHhsSFSyN25RD3N6Vjaq8Vyan5i1O1nR2QGOGE88NOD6IFCgNDbdfGZFrO5Y0jAkbUbJpoeJn/V50zJhLlRDDE8I+8Qyg4Whs+xrtlhOCL6DhgFU5+Lq3xTmvRkqkEkhjRAO+53UnvZaO0kbU+WLFHYRyBwCDy2Y4TXV1xxvEHQoprB2glcqqgHSufvrTmiOpvev3mg8IyPLvyIH7+co/A5D6WQ+24IB/vm9FLTMKc8ELHs1XP52TBIwoSI5xwgu/tLq/H9X/9Cp/sOBE+xmUKmhMe3iRf7q3E8t3aBlrWt3Ygd9k+7D0Rv8Hj3f80tlCTGifrW/GD59ZFHTvVzH/rci0kGktRXNNsefpWjm/wGRivk5YqqdKXEK+Mw7HDI5z6KkmMcMIJYWf64u04froVMz/cFfebU4OBnWNGtpfVaTrv/z7bi5fXFeOH/1gf99uucu1buHeTKGueXnFA9/3ciponiHJto+k+unQXnl7R00UmalyUQ0NCQuLGdjAWJ2JZ1O8a7xtzoupgam23U7yn7hs4DBIjSeAdBkR2i2hdOVKvv+t9psNVTSirbVFP3+EFbo9Ci4hVdATtfVnPrTxo6DpbKlQLk4jssKhrsW5122OnmvHWplLMW30EjDFUNrThF69ttiy9ZDjhI0svLObvVnyIWRHDmv1B3P6qOF+wGlpnJAkOrxejUNrS2u7nq2/tQM6zaw1dq2SrF9YJ6H5GGVqv/p53CA/84BuKv4m3ThkrPwCWbClN8Kv+N9IR7JmxFGKdU6hLEwh3K/H55M1Tp2LGFZduL487phQS9Pi7TPlLLSMSwqvOiW1+tKpPXY+9lQ3GB3ASPcgURGRBxFf8Q/+K7/Lsxlg57nmKYIihpknM+B+vwG1qb9xiavxRGrRu10aGdkBiRAMOzVvDX9KinZlBe8UiyzojohDVWqIkbPWawntVcZkX6AppfFitq+wSxokf32Hcb+zMIre7A4mRCMxmttudxU5EvspEoUnEZEc3+JVSvP80YlYXlzS43q2T1zYUxy2+p5XubDt+ugVj/vylpnVbYqdvi5ZXti16JszHWZw40SPwvz5cw9sgWxHtX5GQGHExehS/mVhg1wepDGMmZGHV3ko89MHOqFVR7UQ5y/Xlz6p9lTxMsZSaJj8WRCx5r4dud/1H3iE0tAUSrtvSTeR7Fb0hnddbHbVwusW6brTY3NcTZ52YdzSANQnOy1L7sWvvD6doEd5mKt3vwX/t5JyKdn7y4teKg6FFY5UoXrm3EjmXZllz8xiilvy3JcXE2GWDfTvpxv/bVDeNSXt0pSWDQ1gIiREJEe3g7l930ZnIkivbS+sUj7s1WO44rn9tGMBYOYrqpgkxaVdIdjJ6/DRpHqr9rJKIGeFjxWBVmYosddNEoOR4IcawbNdJAdbwx0ndHLLGYC2vkLftTso3NezITyubpo1kgdlsE9xLYyt2dSvYKe7syD5FgWJDulZALSNJWH+oBusPOXuQEuEOZBVosuC2VgQZZtPYt2uvmG4ay9KxJxlXQS0jHkLmqY+RqLZ82mqFQvqCKwfRz58M2e2zG/MtI4IHsDojXJhCeSFFA/eRyPmdmm0kRjxEwsqURZ5nnQ1aC4pWE3gHzFZ/EF/ulWuWh0RxTmpkE9tGvvZZTDkUPSuCfM84ZnPOaBx2ap6RGCEcg+JgW84l78ll+1R/8/l8mgq6U4OBWbTmxYMf7LC1lamsttW2tCIx8oiiW0NEIfKxzYgGNcHplPVZZJLvJEYikCUO2Bmo7e560JQaE1dIzK59EQox1Da3c7Kmk+4sksU/zfLe1uPYX9HI/XnUfOYTzour2YVb8lt2rHjNTOW+euKaZA19lkNihBNqzicSo75MQdA497xViMoGvmLEKSQStrGB1R8IcQ+2bgzeop/Jha9UX3zTeK4VA3A1zdxTySCtfiNTqCcx4mJkcjSrEB2sY1lpyXgTL+QkEYsM6/3wsiBZC6yoxdWYQiusrB9joscPWQ2JEU441U3sLnda3pNaEBYdnBmL38fCZgsEpp0cvdZx76axsBCKyPbO1UHtT9cKfvHaZtEm2IoV/qIU/+xa/doOSIxwQsZqQk8cE13RG4V/YeR7Px7IaBNhDW7N6q8PnxJtgiU89K9dqGlS7pYVpSNFL0FgFBIjEciShXbaoVRgZBUmosuYbFNHZaMjGEJJTbPib3Y0McvajG3ULjlLoTXYOmif85ud9fHuuNjk8/HPPyU/clNIIjHicewOeJqmxuowykuDIEWLsWTc+VoBvvu3NcgTtBuvbHkXngXlYFkh2SuVkpKaFs3nmvHR1o5g3DGlmKDno0mm/CUxwgmZMpWwDiFjB+xP0hTvbC4Vku5OgxvayUrnGCVx6WtdV0dGtNqtOA6Dw1OLzDendtPQ3jSccGb224+TRZtTC7kTYIxRNxiifWzSy5tQXidmwTa7sa1kWTKwVIf4kWzQdqw5IgdNU8tIBF6sbHisaurkZuhYZHSBnuZ+Z6C42JNCgCPtkRivCBErSORaesq4U8qcGyAxIiFWVYhOKVhumtJIKOPzxe/D4gUOVzXiyWX7cEplBoZsUDFMjsh35KZyQ900nPDB2S0rZkyXdRYDb0R1I3T7lYPdKw61Z5G1lc3Qpndd19S3doSP/fvc9QiEGIqrm/DqlG9xs88KvFGqYfpB5fRY50EtI5xwgkM6KbiIqnipRYbgSeGx01ixp2d2USDU6djrDtVg8sICLN1eHnW+6DgS+0El2h4riHwmxmkfDyd/iMoCtYy4mZiK1ariwvtrVu1ushf4QDAk2gTHECv6unPWba1sC9YVKx73B0JYd7Aa6w5Wo7imGQ/kXOztAbxMokHMFoYZOyKY3FFSHWoZicCpmaiK6x7IehLpnWRTLf/zpY38DUJPNsrahRGLFtEoua6Mw0qR9I+8Q9hSctqy++shJChfimuaMe7/VqmKN72oftBwuXtyFm0sQXtA/o+TuH15hFjRCYkRTnANVTZ6hFMqOEB+bbXDZetcGIUBeDO/BLsi3kcy8SF7q5fV5aS22W/p/bVyImIGT2tH0NZ2qlPNfjyxbJ+NKXZhwUM2tQfwwleH+N9YA/q2AZEHEiOckClTwxgsZHrrBd5fjZ3NtVxv6Wgkr6fjWHOgGo99vAe3vLBB9Ryfz/7xOWYEj5HdmBnrGSOi5xqRRObJyr2VaFFY9dPpxPkBjzEjCscqG8TMmHJYuAhDY0bcjJ759CY8WM9XI4kM44iuqHgTNbVXnBmamLtK/1fu3FUHsfpAtQXWWEdKRAEtKqtDUVmdOGNMoDXMJG+xM22KKWRvMeQJtYwQtmJK9Cjtw2D8drrpXB7b/uDgpK40s7jpWfUIkRZ/wEJLtJOa4sGvBZsG+luBk2xNBomRCFwnQi2MK7ki+nYVcFuWEd5k3urDok0AAGSkUZVgJbxbOtRCvBSzknRCnichor8OtaT/MqdR78rpqx0X/F5EqdXu5eBdpLzKT7dG7ULa/Wxum9qrlZ7xBS7KZIEkWh4g7jeTr9zKDQ2T3VdNcxiNVSK7hUiMcMSRYcRmox0o2AkLyP1iv+JxKwWnm8QcwQfRHzhmcZNPkxjxEi5y3G7s1jZuKvwiaQ9Ez9JweqVgFtLozkVkl4hSqenc28t5HkViJArvBsS4JZIFIjp92XDaomdKxNqeohIsvdpN49ycdR5x8SV2AKvOzLCyayPZnd1UWkiMeAkFz7U7CPKeTZPodtwHiwn82ggEQ9hytFZY+kZRmyWiJkYIgge6vCvRqsuaI6S280h0qkPrjEiIZUKbSoIjYQyY88V+vLrhqGhTdNPeEUKf9PjjsVNIqTWsE9HvQXT6hFhoOXhCGHZ/n2r7IGaKzfVKBcVO+xVH4tuEE4UIoL4CqReXsyDEE+uNsosvWvSM8AyKA6BstyIeJ4+P4I2T30VQRYyIWFzLuW+R0EvivCZPkBESIxG4TYR6dTAgIQ+BkPLOpWpixKjwemBJkaHrCIIHstUdToz8JEZcTGxgL65pVj9XotLEyxQj93FyK4SMqGgR7gNYP9pezvV+oiDvsxYtXidLDPD5kvuD+gKRzoPEiITY6UgSaZCkBIIqNZtN+Hw+IaLNSXkUS4eKGokVI15fgVUWHOxqjsDJZdlqSIxwRDZHc3JgV7L9va3H8fbmY7anSxinu0zElg3VZaw9Wh3K1DLpBtRKMYM1cVpU7ql1dhqNYiLd0PNiZOfxOhR0rd9A4UB+Hvlot7C0RVUYzvZLresvWP+UVOETSiReqyj59fsrGrnZYiR9t+DpdUYYY/jRC18DALY/9gPB1siD7qDNucC8uekYNh45Zfo+es2iyso+1F6111umyAX54JXX6Kbn9HzLSDenmtuTn0TYgh4hwntV1GRf6CIKvxdEkgcekZAAH+LLcGwEIV8UA4mRLsw6IM8KQ8ggSTMX69IDnMUDRQ5HEFcB0JgRwkVoD0P6/NtL5cGQGJk3bx5GjhyJzMxMjB8/HgUFBQnPr6urw3333YezzjoLGRkZ+MY3voFly5YZMpjgix3OPvvj3bjxubVo9Qfh5IZFUXvTOPeN0VemVmTZZdVr4p4xZ5cvN6FbjCxZsgQzZszA7NmzsW3bNowePRoTJ05EVVWV4vl+vx8/+MEPUFJSgg8++AAHDhzAggULMGLECNPG88ZMOZQlmAghyXt7I/8YDlY2Yfmek/bYYxDGaMyCVSR7qwvWF3edZ937d0Kl46UvYRF44e1qqcfURKdI/9MtRp599lncfffdmDp1Ki699FLMnz8fffr0wcKFCxXPX7hwIWpra7F06VJcd911GDlyJL7zne9g9OjRpo3niRecVCtWvQsrdmpNJAJ5f+UxxuhL3yDJXtvcVYe6zvPmC25qV97dmDBGokjjpDKczNZEU5idhi4x4vf7UVhYiJycnJ4bpKQgJycH+fn5itd88sknmDBhAu677z5kZWXh8ssvx5NPPolgMKiaTnt7OxoaGqL+yI7XmjeNIGI/Er14tTK0Gy83JKpxsNK6KaKEdoxEACvihrbVYhWuc2jZ0iVGampqEAwGkZWVFXU8KysLFRUVitcUFxfjgw8+QDAYxLJly/DYY4/hmWeewf/93/+pppObm4sBAwaE/2RnZ+sxUzOy6gdJzVJHo/N3tozQAFbdOPgR9Zru5W6yorI60Sa4BjW/i5s5k2SBMCcWPW3dNNbboRfLZ9OEQiEMGzYMr7zyCsaOHYtJkybhkUcewfz581WvmTlzJurr68N/ysrKrDbTND4tGwnYjG1f+RqTkbEARKJ1eS7COrzeMiW6jLjh7ev9QKHtN+RA16JnQ4YMQWpqKiorK6OOV1ZWYvjw4YrXnHXWWejVqxdSU1PDx775zW+ioqICfr8f6enpcddkZGQgIyNDj2mmYcwjX9kxqC3XbWGKXO/m6YHDDiJuOXhOLSBltS3IPrOPIRtkgzzZehi8IXi11mWxpzlmOfj09HSMHTsWeXl54WOhUAh5eXmYMGGC4jXXXXcdDh8+jFDEhlkHDx7EWWedpShEnIqbhIxVj2K3bjDyGIkqSRI+/OD1Ku99q5DPjQjCBE4L/zKaq7ubZsaMGViwYAHeeOMN7Nu3D7/97W/R3NyMqVOnAgAmT56MmTNnhs//7W9/i9raWkyfPh0HDx7E559/jieffBL33Xcfv6fggBfUshzIXaEn8gNxe9M41zfVXhmv5eAPVzXptIjwMoEQw3+9sinhOTJ9WFptikzfV7r3ppk0aRKqq6sxa9YsVFRUYMyYMVi+fHl4UGtpaSlSUno0TnZ2NlasWIEHHngAV155JUaMGIHp06fjoYce4vcUEsDzq9nOsiBPsTOG3YFDRJzae0L+2WTJ0Fo8nCy8CDlIVEbXHaxGY1tA07mEvRjaKG/atGmYNm2a4m9r1qyJOzZhwgRs2pRYjYqGVuIjZPoiiuRvXx4UbYJprHq1cuaYMXw+X9x7unDoGThS3WybDZIWAW4EgmIf0I7UnZqFnt6bhmemyVqRJUOiVjpDJF70zEZDTLJij/LUeK/h5am9SpyRYe3G6gVHay29v9MxOhCUW/oWSQsZ6ytPi5FIZOo7sxOm8DfCfu55050DMfUGUyu7aWTvAhIRgn7+svJilW5Fdh/ggVOrMhIjXZgVilLOtDD8TNYUWAnfkG7cH8rsQcbiQrgDvWVUxlYCwHidoudpZHp0EiMS4lb1LtNTzVt9OO6YTPa5hfA6NvR2NRH7nryo2YIh+3xFKSUjFbTT/FtGa0mMdNG56JmZ65njHBKQ96vAap5ecUC0CZ7Gi5WsE5AhhjX77d00UMpWbZNoDesyPTqJEcI2fLDX+WUIrAShFZkqBieT6ANL9ABpj377acLTYiTSaaniIrRAwcS5ODLvSKFwRSnOO7l12KjpMj6yp8UIT2Rt6luypRTrD1Wr/t7tk5HOKaOj2oHZrjoiHr3vU/eXq4vyy+dTeF/kkI7Asqm9Se7Lu9oR6W7WTmL3EFzVNadb7T3ZgA+3lwMASubczOemBMEDlShKLZSEnSSL27JrQaVSpMdmmZ6PWkYicFsgPFHXKtoExyFpAxehhtvzixxSN+6K4olRe9ZkdZmMdR2JERejyd00nPTlngq8mV9iLh0BWKH6ZSzEnoaygy8uf5/CB7Da8IKdql+pm6YLVy56xonfdK0Oes35g3HJ8H6G7+Pzuf9DlogmHHxdXsnxQHRFSciFUW+QqetFD9Qywgknj8iORe1JapraFY9rLTRWvCKe4ZuBObYgE4RbsFOSeb24x35Di2z59bQYiXvtknimnWZ0O58kj64bnnZ3CN7R042QuDOHF9tKzLqMWZ9zg88mewYZn9HTYoQ3smWwXYFM62PL3pN1/V+/SnqObHlMuBu7y8xml+/iq7jOiAA7iHhIjHDCzWNGvEJdS4f0golwL4rrjNjMf7+7XawBFmPVuJzkLRHGMtZqdxDtb5GQGOGEjGNGtFgkodm6IO3gTHaU1Yk2gZAUK8u00seGrWNUHB5vrYTESBfkJMlRe0d6CjOPFqSqhjbT91DDiX2tMiPT+5LJFhnZeLhGtAlcSDQIM9YH3OoTTnwuEiMRyJJ/3BzJpn0L7H5v1zyZJyxtQi7ctu5LeV2LsLQXrC8WlnYkVuao28aMKMVqM2WCloOXALcFNa04UUFrxc3P5hScPlvLTpZuL8fqA9H7SFE3JF+0jBkxUheIqj+MNjR3x0aZxsh5umWEKqse7HkX/D1forJEEKaIFSJexcoy7YWPTqcunudpMeJ6pPNJ+QNBsi8FLwQznlgtct2+Nszplg7RJjiORD6nVFHLusiallYL3t00IiExEoEXW0o8+MgJ8aIPOJ3cZfs0nefEIH20plm0CbZjZS7FV/B8vMKqge9WTwmWKd6RGJEQ0UHTumnKTm1AJIxihye/vE6OgZeE/MhU+fLA8JgRCYU5iZEueDipdNkrnUH2ImOBIwhZkaW0iB4zElkXyC5eeNsn8nFJjLgYbYueSV7aJINelz7IvwgRqPkdtc3KC4mRLrweMqkVgbASEiWEmxHl3WrdNMnKm4zF0dNiJLYCdluF7IVvgLpWmm0gMzKVKBkDMCEWu33CDlGuJwlaZ4RIiJ0FRCkpJ8Xs2ma/aBMIwhW4RawxJt/GpVa92urGdovubD8kRgjNmG05sjs+WBFcF20s4X9TF+OWCo5wB5oGsNpgh1aM2KJpfZLu/8bt1SPu6UmMELrxav9/a0cQHxQe53KvwmOn8R8vfo0ij+xeq8Vl1hyoQkcwZL0xBBEBl5mUEsVEiUzRBe1N04VMzmQntveZ2pscVwIcV/v8z5c2AgB+Nn8jDj3xQ273lQ/t7+yXr2+x0A7CKfDoYuE1m0bkOEIzM3+cGGepZSQCj+oRAPqe3c3vKdGjWfHcbl/OXCboTTsDsx+GegQEg1yDOO1Cxo9vT4uRqMVtxJkRBy9bZHomwpvIuDsooYwX4gX5obx4WozwRka1mZx4m/U+hqzPbWjwV6LfKJAZRlIXITyG4sZyblx9WyMyxTQSI4RunFrwCPshXyFEYGbciRUfV7Z/sGlMLm42DX9LNENiJAIKnMYQOad/9DkDhKVNEG5C1hZOvXh9/JumbUAst0I/JEa6cKNTapEIRp5bT9CKPZd7wOMshFzoBkJxY7kirIVcpgcvlR8SIxLS3hG0PU0zPq9VYNjdfsJb+HgpMPBGhlfnli9/Ijl68prH94zW5GRxQSbhcj4kRsJI4iUA/u2ZtUIDZ7KpcWq//uWzvfi3Z9agqT3A3yhVY/i+p1NN7lleWQZIABB2o9fjErmoE91XS5mbvHCzDZbog8SIpPgVVqJs6wjirU3HcPx0i6Z72N13+NqGoyiubsZ7W8p67u+wwhxKYK9MI88JgrAGh4UsRZJ9UO44Xm+TJdqhFVgjkOkrTsmUuasOYf7aIzgjPRV7/vzvGu5hz/PEDmAN2fkeSSFITbcnUC4RWrF1o1CJYn4cAgqNyNdBLSM2sru8HusP1Ri+fsPhagBAs9/+MSVAj6PKtLkS4QzIQ+THTcXY/hl+xrq2iR5IjNjI7Qs2iTYhDqsDUOzt7SyUvNNyU7C2C5nemUSmEBYi88eRyL1uZIfESBd2rMLX0GbjwE6Y+DpI8iBUoAgnMbx/pmgTCJtR3SjPaf2FBkOtxHpMFRIjXdS3dog2ISlmdnFMhsxfE4RzkUG4VjS0obi6SbQZhARoCXPG1l7Sf41VyGSLHkiMdPHimiMShE2+aJlia6Sy0LfCoX1vdc2BKkxfvN0RwtJriA6Q//v+DrEGOAAZhCMAW/vTJHlieRD4Qjw9myYyQLZaPCiUWh6sH1T2y9e3AAAG9u6Fx398uaVpERqRxO0bbe4iJcShe50RjvcijEMtI12Q07mHk/VtAMR/jRPywBgjf0gCvR/rsHW6sjxtXLogMeJxbJ9NY0MpcWJBdCuy5IUsdhD2oNYKq3Q4/pCBrmut55EjqkJiJBILHcVJTuggUxWx6l0783uDAOB8p7YBJ8UoozjpGZ028ccsJEYkRanQyDItzUkFmhAL+QqhF7OinzHtY/QYc59O1VrmAsEQCo/VWmuMDkiMOAgrAruRW+4+kXhfg0g7xVRGLOo/vLByajVhLW6rcAhvYGVr7N++PIjTLdEzD0W2/np6Nk0kVs92OXqqWdf5orsEgiGGae9sw+UjBsT91tYhZjl6JUgeyI1oP+6GZrMRWnH6OiOANnteWXfEekN04GkxwjtQJnKA7z+z1vT97eymWXuwCl/srsAXuyvCx9QeT2Q5NJL2yfpW7nYQiZFClEhgAmEDHPOZt4i1ZQC/xjR8Pp9UKoq6aSKQImB2YZePKBU2xoBWf4jP/YXuTqPMj1/42tB1MvmHU5Al1klihtR4wb9jP+iUnrnsdAse/GAHDlU2ckvXyLu1+uNTtlZlQ2Jk3rx5GDlyJDIzMzF+/HgUFBRoum7x4sXw+Xy49dZbjSTreWRznm602mWX/ckqwKrGdkvuS8gL5Z1z4JFXalN7tdz7V4u24r2tx/EfL200b4gJrPZZWSZEdKNbjCxZsgQzZszA7NmzsW3bNowePRoTJ05EVVVVwutKSkrw+9//HjfccINhY72E3bHTjcHaC196skM5QIiAR/eKnlV7ZRqTxKAt9lm9IrZedIuRZ599FnfffTemTp2KSy+9FPPnz0efPn2wcOFC1WuCwSDuuOMOPP7447jgggtMGUzIR8LllK1W90ppWpsk4UBImHoHymttKMZOga9Olxjx+/0oLCxETk5Ozw1SUpCTk4P8/HzV6/785z9j2LBh+PWvf60pnfb2djQ0NET9sZrOuemWJ6MZmZS2zNBbkhuZ/JgqqcRIlFVEF17KE11ipKamBsFgEFlZWVHHs7KyUFFRoXjNhg0b8Nprr2HBggWa08nNzcWAAQPCf7Kzs/WYqRkvZbQekgXt2PU2YhU2BX2CcB5eKLVxPRM2P7Se5Iz2omj9AJCsl8ba2TSNjY248847sWDBAgwZMkTzdTNnzkR9fX34T1lZmYVWehtDc+pNlGAnC0AHmy4MWd4ZLVjnHGTxGT0ks1nGuCdbmdC1zsiQIUOQmpqKysrKqOOVlZUYPnx43PlHjhxBSUkJbrnllvCxUKhzymhaWhoOHDiACy+8MO66jIwMZGRk6DHNNLJ9zTe3B/H793fgh1echR+PGdF50EYpq+d9iHxzyv2erOu/fNOSMaA4BXp3hF0k8jW9fuhUt9XynI5uGUlPT8fYsWORl5cXPhYKhZCXl4cJEybEnT9q1Cjs2rULRUVF4T8/+tGP8L3vfQ9FRUWWdb+4gVfWFWPFnkpMX1zUc9DCiC6bGDODe57EBVBmOAeP5pVM45p4oPVpZBv8r3sF1hkzZmDKlCkYN24crrnmGsydOxfNzc2YOnUqAGDy5MkYMWIEcnNzkZmZicsvvzzq+oEDBwJA3HEZMOuTPCv0U83G1sLQi5rNsjXhqeGuMEJYicvqHEIinOhbsk3t1S1GJk2ahOrqasyaNQsVFRUYM2YMli9fHh7UWlpaipQU5y3sKpszKdojmfN0E2vV5uJa3HX9BUhJ8Vn6Xh/6YCd2lNXFHZctL72Mm1rcCHuws6XC/vWctKdo9QehbLWJob1ppk2bhmnTpin+tmbNmoTXLlq0yEiSnkPofi8qiasVpNijefursGhjCX51/flRx3lrqSVbaWAzoQ1JdbxcuOQdJYqdSn4gWwtBN4aFPHNmi7HzmjA4wlT+7iV4fISEFO7xfuFxxbTsfM+806KvfP3I0kolix1S49F3JPOYEXkt44+nd+2VGaUCIot+P/OM9Kh/f7rjBM4akKl4rqsqcBc9CkHE4qqyqoJVusML785qPN0yEglj8ruTlfbpKaRnpMdr2FfWFcfcT0FM2aSmZM9HLyHLR6fPR35BeANz60CJKyUkRrqQtd/QalTHh1DoJjjR3B7Aoo0los0gHILZyJOoQo0N88nqXpFi2ikzGnlBYkRSlAqBXa6ZdDVBPfcSUJh7Fj0jQSUaBuDtzcdEm0EQAMS31NmWvOgHNQCJkS6o4kqOntYj9Rk5nIwhHENbR0i0CQCA8tOtok2QGi+UTcsawCV6d5rzUbKGFxIjXdxw8VBPChK1J1ZqItTT4iCym8eqLjfveYd5GGPSVHK3vLBBtAlSI0k2mcYtz+E1PC1GIivVS8/uz+GG5m+RCCcOaxERGE7UteKuN7Ygv/gU1/t6Uay6BQcWHcICnFaEvRRzaGqvpCi1LJjxy0BQfFO5XWLqcFUTDlc1YdW+KnsSJFTxTigleGFn/ctsasM18kxG4yWD8XInsrx6umUkCsmiphHnTaSin1y2P+E1kZcmU+NaTFO6hdNF/tKiE6JNIAjL8MJXeGtH0JL7an5zOl6xB7IjChIjDsJMy8LCr4/yM0QD3eXICwGOUIeyn7AbvT6XOKySA9sFiZEIZHI7NwbxzoWnXPhgBOECvLrWkttwat1BYqQLN1SShrp2VI8rjFnRkQ61iBCd2NUrT5jFi2XW7v2y7MKJWUlihLAEFvNfgiAILThRvFpR+YtoqBIpYjwtRqJ27ZXM/2UukI1tHaJNIByCbOWKUMctWSVj7DRqk5GrZHx+LXhajDgNS4Qyi/pP3N+V+MmLG62wRBcyTFUmCILQg0xCQbYRQiRGumBw/lccT/NNb9LULXIseqe/fmOrNTcmuCJLkaLBmd5Cj9/x8AyZRIZTITHCEZ7uqLcSb/EHMH3xdo4WxKOn0CqZ74OPmzhZe7Caz40IgpALWxc9k0cw84IxZw5GJjHCCd55r1iZJ/i6e2VdMT7bedJAOtoN17dbr9JsHOcVEMIcnYFRtBWEFlyTT4xfF4TId+K1tjwSI5KivIKpesmobmy30BoTuCXAEYTLoaIqFyLyQ+QHo6fFSPQS6ICZ7HdVlzSzxilNj0MhHAe1hhFO5sPt5ZrO09qC4prWJwvwtBhxGlYMwusuHLz7GKnMETJBMtg78Iw9L605wuU+9m7+58z4S2KkC7NfcKR4ozl2qgX7Kxroy9jjyFIuJDGD0ICdeSXzQE8frC0/ss0wIzEiLfq8UDK/AgD8+9z1ccckLvsEQbiATcWn0Oy3ZndeO7H6GWQTYiRGOMFbDNjlJ7qSkct3CQcgi8tIqNXlQ7LKySjTFxfZnqZUb85MPtJy8HLgkrJoGgbGbbApvVOCIKRG4hh1uKrJsntTN42kmK00vVDpmh7/IZfvEzYgW1MwQYhEb2m4bcEmY+k4sNiliTZAKEzxr4YpKqvjcJdOlFcw7WHtwWqMGt4PWf0zzaWjsDeNZTiwgBDmoWx3BrLkk90zT+z4SNpSUovS2hakpVj//S9LPurF22KEMx9uO87tXsm+KKcsLAAAlMy5mVuaUemruLTeL12nFgyCIAitJIuLv3x9CwDgxkuz7DDHkVA3TTcm5bhk3W9y4qNFsAiCkAwbQ1LJqWb7EnMYJEYiMOOTTuyjA0gcENYiTbmgj4WkSJNXhCkYM16XiXQB6qaRlEinYIzhnjcLsfXYadXzeS61rhaUjAQrGsCYnHW0A7H1kBsmxZMfJjY/MoVDdahlxAHUNPnx5d5K0WYAoMJkBZO7xv+4EU9WcIQpnOgzzrNYvqEFJEa6MOtMVi56pqV1wWgB1iMuSIgQhpDBcSQLvIQ3sUMAOLU12tNiJLYCN7VwHeMbc6NuZUcgjbGd26JnXO5COBWHxkVPQrtquwcnChJPi5FIHJh3UTglkDj9PRMEQcRBcc00JEY4YlUTnJVCQ6kMdY7Gjv/F9NbUVGA9B4lP5yDLWA17Fz2T45l54tRZoSRGujDbrOXzUeBVgt4JQTgDKqvWQ+9YHRIjnODtZDL2+d39z63YebxOtBmEg5DFi53RiUkQ9iFbmSAxEoGsTXZaun8MdxHpFD1GN24ivIucpYog+CFT3aE1pMtjcSckRggA2gtTW0fIkvsS7kTGFj5CGcoq65FtbQ+Z8LQYiVrLw+S9fD6+SjPSNi3+a9m0Yo6QMCEIIhl2Rgm1wfpeReS78LQYicRsZU5fFQQRDxUL+dlRVifaBM9gRz2hNQnZGmlIjEQgq6DYcLgm6TlGm//UHpnbdGJJ3ylhE5T/0rP7RD0AyiozyFZ3yGaPFkiMdMEj73gqzcjmsumLizjeWRvtgaDtaRIEYT/dFZdXx/c4ZcFIt0NihFBkxns7uN/To7HO01B/PCE7bvNRp4pKEiOSYpc/MQa0dQQx54v91tzfkrsShD58NI0hKbK8IzsrU4fW267E02KEtx+K9GszYeTV9cU43dIR/reVwYAKv7eg/Ca8gFv8nJaDlwDGzDfWcZ1ea6NTFFc325cY4TncEqgJwiloqc1kaQnrhsSISzAa761uEi2iaYOehnSI/HTnkVPHGjiJQ1VNok2QFhIjkmLnoCorU7rnzcKedCjWEQRBSIFs4pPECEdEtnrJ1eBGEJ1IFu8IJSTLJDvN4ZWUTG9QsuzUDIkRj6Pktw71ZYJQhcQ64SW0CBIaMyIxMjVb2fp1YOdUOpI6nkKW/JbDCrmRKPzZilefWwmRr8LTYiSyEpbNIW3dLMrGtAjvIYsgIQgv4NTy5mkxwhuRgsZok5udNncEQ/YlRkiBLCJfrgZpOXFqJWYGxhiXsX4ytao7FUNiZN68eRg5ciQyMzMxfvx4FBQUqJ67YMEC3HDDDRg0aBAGDRqEnJychOeLwosF0W5eWntEtAkEQcRAkY+QAd1iZMmSJZgxYwZmz56Nbdu2YfTo0Zg4cSKqqqoUz1+zZg1uu+02rF69Gvn5+cjOzsaNN96I8vJy08bzhI+w5bnqmc7TTTxA7KVWifydx+utuTEhLVTREbLjtkYNxrSVu6b2gOW26EG3GHn22Wdx9913Y+rUqbj00ksxf/589OnTBwsXLlQ8/+2338bvfvc7jBkzBqNGjcKrr76KUCiEvLw808a7GbtaalxWDgmC0InbKmMROPEV+gPx3eYiu5t0iRG/34/CwkLk5OT03CAlBTk5OcjPz9d0j5aWFnR0dODMM89UPae9vR0NDQ1Rf5yBuJ5pM9O0bB0s68RSSxiHMlx6ZPtCJryJLjFSU1ODYDCIrKysqONZWVmoqKjQdI+HHnoIZ599dpSgiSU3NxcDBgwI/8nOztZjpiugGE64BRl8WbIlFaRCtnfjxEXPZMKpz2TrbJo5c+Zg8eLF+Oijj5CZmal63syZM1FfXx/+U1ZWZok9TOXvxu7lTBegUeCElZB3OQevhgLZxBgPnJiXaXpOHjJkCFJTU1FZWRl1vLKyEsOHD0947d/+9jfMmTMHq1atwpVXXpnw3IyMDGRkZOgxjQvmM9CBHgASJAThZbqLv1ejAI/wRyHUPLpaRtLT0zF27Niowafdg1EnTJiget1TTz2Fv/zlL1i+fDnGjRtn3FoLMetMPs7jRcQuekYli+ADBWmCsBenljldLSMAMGPGDEyZMgXjxo3DNddcg7lz56K5uRlTp04FAEyePBkjRoxAbm4uAOCvf/0rZs2ahXfeeQcjR44Mjy3p27cv+vbty/FR3IWdrRW7aMotYSEbDteINoEgCA2IFDK6xcikSZNQXV2NWbNmoaKiAmPGjMHy5cvDg1pLS0uRktLT4PLSSy/B7/fjpz/9adR9Zs+ejT/96U/mrOeI2TEfTh0zAgCltS22peXct0QYgTFG68sQurAzljq1FSEZTqyPdIsRAJg2bRqmTZum+NuaNWui/l1SUmIkCYIgCG7w7kZ1E92tsDR2zAzyvDsnChGA9qYJ07lqnfFM7Ax2/AKeXe5E8YewElnc60Blo2gTpMXrA1gJOfC0GOFfEfO7oUiRQAKFILwDFXdCBjwtRnjCwKgSJ4gYqEwQhL04tcyRGJEU27pp6LuIIDxNd+Uly6gaeytTPh+RsgkA2ezRAomRLhgz55SiB8g5ZRVBGiTnLSi3nQPlFSESEiMEQRAexuuto075kHM7JEa6MPvBzrtA29WCQA0VhJVQS5j8UBYRMuBpMRIpIHiUR5EKm2c3EcUmgvAOLO4v3oExTnvTmL+F5/G0GOEJjRkhCMLJyFKhymKHUzHTGimylYzESBc8FDLPjNR7L6NahAo+QXgcyfpplu06KdoEXQzs00u0Ca6AxAgnuI8ZcalMcOdTEWpIVs8RCoQky6OnVxwQbYIurhl5Jvk5B0iMdMGj8hfpj9RNQxAEQThVGJEYkRTd3TQG1YhSOk51ZkI+3NrC5ya688iLM5/c+sROzEsSI110bpRHEAThLWijPEIGvC1GqPTZzrFTzaJNIGzEgR9onoOyyBxf7q1EZUObaDPCmMlPkS2Z3hYjEXBZZ4TDPbqxbzaNvc73wJIdtqZHEERiZNubxon8+bO9ok1wPCRGOMKzWtdzr6b2AF5eV8wxdYLgA311yw+N63EfTmyRJDHSjRNzr4unl+/nej8KTgThPbxY6h0c9lVx6jORGIlAphHIemzZd7LRRDqGLyWIpJB/OQDKI0ICSIx04eTySC0ZBEEYpTt6eFU4UvyUAxIjLsCrQYSQHwr08iNTizBhHjNljvamEUTke+eycyPHnNRzq/0VxrtpCILwNj3rjJAocQtOzElPi5FInFwQm9oDok0gCEXoo1t+vJxFDEz4jutEJyRGIpCpUIoUR1SBELw4Udcq2gSCSIiTP0SVcGr8JjHShVMz0CzUX0xYydubS0WbQCSBQgAhAyRGJIUCBEEQdhBi3RvlCTaE4IbRvBTpAiRGupCtHMpmD0EQBEFYBYmRSByqAC4Ycobha+lriCAIr+LG+OfUR/K0GIl0RDc6pVHoVRCEd6BxY4QMeFqM8OTrw6dQ29LB7X56AgSFEoIgjOIPMmwtqUUwRJHELThxhlCaaANkgUfm7SirM29IF3a50jMrD9qUEkEQMvJuQSneLaBZT66BMcDnvLVTqGWEIAiC8CQM1EUficguOxIj3TDJmrYkMoUgCIIgrITEiKSI1CI0oI0gCK/gwB6NhDg1entajES2hDg1AwESDwRBEEQPTqwSPC1GCIIgCG/jxIrbjXhajESvMyKXR8pmD8GPjmBItAkEQcCdcdapj+RpMRIJY87NRMJZfPfpNaJNIAiCiIP2phGEzNpDZtsIc5TXtYo2gSAIF+PE+sPTYiQSJ2ZeN7xtX7KljPMdCYIg5MR9s2mcWZt5WozI3F8o0rSNR06JS5wgCMIm/vTJHnd2zzvwoTwtRiJhTK7WEaeqW4IgCKdwuqUD+yoaRJtBwONixIHikSAIguBIS3tQtAlcMfNhLbJO9LQYiUS2lggSSgRBEIQRnFh/kBjp4nSzHzM/3CXaDEM40fEIgiBkIEQBVApIjHSxtOiEaBOioPJBEARhPSGXxVoG+Vr6teBpMUIVPkEQhLehlhE58LQYIQiCIDyOC7WIE/WVp8WIE5uyCIIgCH64rRYwt0yFuLfhaTEiM1oXZAuGGIkqgiAIg1A3jRx4WozI7IMn6ts0nbds10mLLSEIgnAvMtcDRnHiM3lajLiButYO0SYQBEE4Fre1LDv1eTwtRpyZZQRBEAQv3Da1F3CmIPG0GCEIgiC8jcwbphrGgY/kaTHiFid0yWMQBEHYjtvi5+KCMlQ3thu6lvamIQyzam8ljp9uFW0GQRCEI3GZFkF9awc+3F4u2gzdGBIj8+bNw8iRI5GZmYnx48ejoKAg4fnvv/8+Ro0ahczMTFxxxRVYtmyZIWN54wYnXHuwWrQJBEEQjsUtLeROR7cYWbJkCWbMmIHZs2dj27ZtGD16NCZOnIiqqirF8zdu3IjbbrsNv/71r7F9+3bceuutuPXWW7F7927TxhMEQRCEGdw4gNWJ+JhOWTh+/Hh861vfwgsvvAAACIVCyM7Oxn//93/j4Ycfjjt/0qRJaG5uxmeffRY+9u1vfxtjxozB/PnzNaXZ0NCAAQMGoL6+Hv3799djbkIOVzUh59m13O5HEARBEE5lweRx+MGlWVzvqbX+1tUy4vf7UVhYiJycnJ4bpKQgJycH+fn5itfk5+dHnQ8AEydOVD0fANrb29HQ0BD1xwoWfn3UkvsSBEEQhNNoELhulS4xUlNTg2AwiKysaOWUlZWFiooKxWsqKip0nQ8Aubm5GDBgQPhPdna2HjM1U3C01pL7EgRBEITT+NGYs4WlnSYs5QTMnDkTM2bMCP+7oaHBEkEy9bqROFjRiM93nURNkx8AMO68QThrYG90BEI4WNWI4upmfH/UMKSnpcDnA/yBENoDIQzo3Qs+nw8AsP9kAw5VNcXd/3uXDEW/zF5gANo6giipacahqiZ85xtDMfiMdARCDIFQCC3+IDLTUtErLQWt/iBW7asEAIwa3g/7KxoxYmBvDOnbef6eEw347iVDsb20DvUKKvbyEf1xwZC+aA8EkeLzgTFg+Z4e4Tc6eyB2lNWhV6oPHcHOHrobLh6CtBQf+mb2QklNM3aV18fdd2i/DAw+Ix37KxoBAFeeMwDnDOqNU01+bI4QdT+5agTaOoJo7Qii1R8M/3bOoN44froVQ/qmo6bJj2svHIwj1U2obGjH9y4ZioF90uEDkJLiQ3sghE93nMCo4f1w6VmdzXqBEENjWwcG9UlHdVM71h+qQYqvs7/34mF9w+//nEG90btXavjf3fdoD4YQCIbQKzUFn+08iV6pPnwjqx8uGNoXvVJ8SEv1YWnRCQzs3QtD+2XgwqF90btXKoDOBYT2VzRi5/F6XHnOAFw0tC96paagLRBEiAEZaSlI6XQFNPuDaGkPoPDYaTS0BXDZ2f0xanh/MDB0BBlKTzVj5JAzkJGWgobWAMrrWrGrvB4jBvbG9785DC3+INoDIfTplYq01M6b+gMhpPh8SEnxgTGGEGNgDGjp6PSbzF4pSEvxIcSAFn8QAJDeZVNVYztW7u30p8vO7o9x5w2Cz9f5jv2BEE41t6O5PYBLhvcDY53vMxRi6J2eivZACIyxLr9nOCMjFYwBFQ1tWLm3Epdk9cNlI/qjf2YvhBhDW0cQ/kAIvdPTcEZ6Kpr9QXy1vxKVDe247qLBONXkR2tHEMdOtYT95Y7x5+JoTTM2HjkFALjx0iwM7ZcBnw9IS0lBiDH40Plc/Xv36nw/HUFk9ErB3pONGNo3HUP6ZsAfCKEjxNAr1Ye+GWldm4UxBIIM/kAIIcawtOgErj53IC4c2hdpqT4EggzpaSnYVV6PncfrMfGyLKzYU4mzB2TihouHdj5TIIReXZmb0SsFgA/N7QEwAJlpKeiVlgLGGNo6Qgh0pd8rpfMbryMUQkeQIRRiGNCnFxhjaPUHUd/agUCI4ZxBvdERZCiubsK20jrccPEQrD9UgwuGnIGrzxuEVn8Qn+86iXHnDcJ5g88I531rRxBpKSnISOv5lmzxB+HzAb17pSI1xYfimmacamrHuYPPwLqD1bjh4iE484x0dARDCIYYMtJSkZbiQ9npFmwpOR2+T2SZi7wnuspmXUsHVu2rxLjzBiH7zD7wAfAHQ+gIhsL3BIBglz+kpaagT69UBLt2b+u+5xe7KzBqeD9cdvYA+IMhNLcHkNkrBct2dcaqvhlpuPbCwQiGGM48Ix3+YAinmvxhH+wsD8CJujZk9c9Ais+H3r1S8cXuCrR2dJaBfxs1DL3TU7viIENH1z3OGtgbQHTcvnDoGbh4WL9wrLz2wsHYeOQUhvbLwPmDz8DQfhloDwTR0BbAOQN7IxDqzAt/IISapnb0y+wVfk8hxtDsDyAzLRUhxrD5aG24XALAeYP7YEz2QIQY0NjWgWCI4Yz0NGT2SkGKz4e2QGfsZABGDj4D6WkpOFHXiub2APpl9kJaig/twRDqWzqw4XANrr1wMLIH9UF7IIhNxbWoaOjcSuR7lwzFgN69kOLzIRBiaA8E0btXKj7ecQIjBvZGis+H0toWXH/REFx5zgDcOeE89EoVN8FWlxgZMmQIUlNTUVlZGXW8srISw4cPV7xm+PDhus4HgIyMDGRkZOgxzRB3jD8PAPD4jy+3PC1CH8/fdpVl937hduXjT/10tGVpepcrRBsQZu5/WedTVjFPtAEO49lJoi2QH1nLgS4ZlJ6ejrFjxyIvLy98LBQKIS8vDxMmTFC8ZsKECVHnA8DKlStVzycIgiAIwlvo7qaZMWMGpkyZgnHjxuGaa67B3Llz0dzcjKlTpwIAJk+ejBEjRiA3NxcAMH36dHznO9/BM888g5tvvhmLFy/G1q1b8corr/B9EoIgCIIgHIluMTJp0iRUV1dj1qxZqKiowJgxY7B8+fLwINXS0lKkpPQ0uFx77bV455138Oijj+KPf/wjLr74YixduhSXX05dIwRBEARBGFhnRARWrTNCEARBEIR1WLLOCEEQBEEQBG9IjBAEQRAEIRQSIwRBEARBCIXECEEQBEEQQiExQhAEQRCEUEiMEARBEAQhFBIjBEEQBEEIhcQIQRAEQRBCITFCEARBEIRQdC8HL4LuRWIbGhoEW0IQBEEQhFa66+1ki707Qow0NjYCALKzswVbQhAEQRCEXhobGzFgwADV3x2xN00oFMKJEyfQr18/+Hw+bvdtaGhAdnY2ysrKaM8byaC8kRfKG3mhvJEXr+YNYwyNjY04++yzozbRjcURLSMpKSk455xzLLt///79PeUcToLyRl4ob+SF8kZevJg3iVpEuqEBrARBEARBCIXECEEQBEEQQvG0GMnIyMDs2bORkZEh2hQiBsobeaG8kRfKG3mhvEmMIwawEgRBEAThXjzdMkIQBEEQhHhIjBAEQRAEIRQSIwRBEARBCIXECEEQBEEQQvG0GJk3bx5GjhyJzMxMjB8/HgUFBaJNchW5ubn41re+hX79+mHYsGG49dZbceDAgahz2tracN9992Hw4MHo27cv/vM//xOVlZVR55SWluLmm29Gnz59MGzYMPzhD39AIBCIOmfNmjW4+uqrkZGRgYsuugiLFi2y+vFcw5w5c+Dz+XD//feHj1G+iKW8vBy/+MUvMHjwYPTu3RtXXHEFtm7dGv6dMYZZs2bhrLPOQu/evZGTk4NDhw5F3aO2thZ33HEH+vfvj4EDB+LXv/41mpqaos7ZuXMnbrjhBmRmZiI7OxtPPfWULc/nVILBIB577DGcf/756N27Ny688EL85S9/idp3hfLGIMyjLF68mKWnp7OFCxeyPXv2sLvvvpsNHDiQVVZWijbNNUycOJG9/vrrbPfu3ayoqIj98Ic/ZOeeey5ramoKn3Pvvfey7OxslpeXx7Zu3cq+/e1vs2uvvTb8eyAQYJdffjnLyclh27dvZ8uWLWNDhgxhM2fODJ9TXFzM+vTpw2bMmMH27t3Lnn/+eZaamsqWL19u6/M6kYKCAjZy5Eh25ZVXsunTp4ePU76Io7a2lp133nnsl7/8Jdu8eTMrLi5mK1asYIcPHw6fM2fOHDZgwAC2dOlStmPHDvajH/2InX/++ay1tTV8zr//+7+z0aNHs02bNrH169eziy66iN12223h3+vr61lWVha744472O7du9m7777LevfuzV5++WVbn9dJPPHEE2zw4MHss88+Y0ePHmXvv/8+69u3L/v73/8ePofyxhieFSPXXHMNu++++8L/DgaD7Oyzz2a5ubkCrXI3VVVVDABbu3YtY4yxuro61qtXL/b++++Hz9m3bx8DwPLz8xljjC1btoylpKSwioqK8DkvvfQS69+/P2tvb2eMMfbggw+yyy67LCqtSZMmsYkTJ1r9SI6msbGRXXzxxWzlypXsO9/5TliMUL6I5aGHHmLXX3+96u+hUIgNHz6cPf300+FjdXV1LCMjg7377ruMMcb27t3LALAtW7aEz/niiy+Yz+dj5eXljDHGXnzxRTZo0KBwfnWnfckll/B+JNdw8803s1/96ldRx/7jP/6D3XHHHYwxyhszeLKbxu/3o7CwEDk5OeFjKSkpyMnJQX5+vkDL3E19fT0A4MwzzwQAFBYWoqOjIyofRo0ahXPPPTecD/n5+bjiiiuQlZUVPmfixIloaGjAnj17wudE3qP7HMrLxNx33324+eab494d5YtYPvnkE4wbNw4/+9nPMGzYMFx11VVYsGBB+PejR4+ioqIi6t0OGDAA48ePj8qfgQMHYty4ceFzcnJykJKSgs2bN4fP+X//7/8hPT09fM7EiRNx4MABnD592urHdCTXXnst8vLycPDgQQDAjh07sGHDBtx0000AKG/M4IiN8nhTU1ODYDAYFUgBICsrC/v37xdklbsJhUK4//77cd111+Hyyy8HAFRUVCA9PR0DBw6MOjcrKwsVFRXhc5Tyqfu3ROc0NDSgtbUVvXv3tuKRHM3ixYuxbds2bNmyJe43yhexFBcX46WXXsKMGTPwxz/+EVu2bMH//M//ID09HVOmTAm/X6V3G/nuhw0bFvV7WloazjzzzKhzzj///Lh7dP82aNAgS57PyTz88MNoaGjAqFGjkJqaimAwiCeeeAJ33HEHAFDemMCTYoSwn/vuuw+7d+/Ghg0bRJviecrKyjB9+nSsXLkSmZmZos0hYgiFQhg3bhyefPJJAMBVV12F3bt3Y/78+ZgyZYpg67zNe++9h7fffhvvvPMOLrvsMhQVFeH+++/H2WefTXljEk920wwZMgSpqalxswMqKysxfPhwQVa5l2nTpuGzzz7D6tWrcc4554SPDx8+HH6/H3V1dVHnR+bD8OHDFfOp+7dE5/Tv35++vhUoLCxEVVUVrr76aqSlpSEtLQ1r167FP/7xD6SlpSErK4vyRSBnnXUWLr300qhj3/zmN1FaWgqg5/0mil/Dhw9HVVVV1O+BQAC1tbW68pCI5g9/+AMefvhh/Nd//ReuuOIK3HnnnXjggQeQm5sLgPLGDJ4UI+np6Rg7dizy8vLCx0KhEPLy8jBhwgSBlrkLxhimTZuGjz76CF999VVcs+PYsWPRq1evqHw4cOAASktLw/kwYcIE7Nq1K6rwrly5Ev379w8H7AkTJkTdo/scyktlvv/972PXrl0oKioK/xk3bhzuuOOO8N8pX8Rx3XXXxU2BP3jwIM477zwAwPnnn4/hw4dHvduGhgZs3rw5Kn/q6upQWFgYPuerr75CKBTC+PHjw+esW7cOHR0d4XNWrlyJSy65xJXdADxoaWlBSkp0tZmamopQKASA8sYUokfQimLx4sUsIyODLVq0iO3du5f95je/YQMHDoyaHUCY47e//S0bMGAAW7NmDTt58mT4T0tLS/ice++9l5177rnsq6++Ylu3bmUTJkxgEyZMCP/ePYX0xhtvZEVFRWz58uVs6NChilNI//CHP7B9+/axefPm0RRSnUTOpmGM8kUkBQUFLC0tjT3xxBPs0KFD7O2332Z9+vRhb731VvicOXPmsIEDB7KPP/6Y7dy5k/34xz9WnD561VVXsc2bN7MNGzawiy++OGr6aF1dHcvKymJ33nkn2717N1u8eDHr06ePq6ePmmXKlClsxIgR4am9H374IRsyZAh78MEHw+dQ3hjDs2KEMcaef/55du6557L09HR2zTXXsE2bNok2yVUAUPzz+uuvh89pbW1lv/vd79igQYNYnz592E9+8hN28uTJqPuUlJSwm266ifXu3ZsNGTKE/e///i/r6OiIOmf16tVszJgxLD09nV1wwQVRaRDJiRUjlC9i+fTTT9nll1/OMjIy2KhRo9grr7wS9XsoFGKPPfYYy8rKYhkZGez73/8+O3DgQNQ5p06dYrfddhvr27cv69+/P5s6dSprbGyMOmfHjh3s+uuvZxkZGWzEiBFszpw5lj+bk2loaGDTp09n5557LsvMzGQXXHABe+SRR6Km4FLeGMPHWMTScQRBEARBEDbjyTEjBEEQBEHIA4kRgiAIgiCEQmKEIAiCIAihkBghCIIgCEIoJEYIgiAIghAKiRGCIAiCIIRCYoQgCIIgCKGQGCEIgiAIQigkRgiCIAiCEAqJEYIgCIIghEJihCAIgiAIoZAYIQiCIAhCKP8/byU4R1iFPPcAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(weather_scaled_df['dni'].values)\n", - "plt.show()\n", - "plt.plot(weather_scaled_df['wind_speed'].values)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
COAST
00.140170
10.135858
20.130485
30.128788
40.133821
......
87550.239524
87560.219831
87570.200798
87580.179219
87590.157870
\n", - "

8760 rows × 1 columns

\n", - "
" - ], - "text/plain": [ - " COAST\n", - "0 0.140170\n", - "1 0.135858\n", - "2 0.130485\n", - "3 0.128788\n", - "4 0.133821\n", - "... ...\n", - "8755 0.239524\n", - "8756 0.219831\n", - "8757 0.200798\n", - "8758 0.179219\n", - "8759 0.157870\n", - "\n", - "[8760 rows x 1 columns]" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "demand_scaled_df" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "uncertainty_set = BoxSet(bounds= [(0,1), (0,1), (0,1)])" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "uncertainty_set" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "uncertain_parameters = []" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/chance/chance_copy_2.ipynb b/examples/chance/chance_copy_2.ipynb deleted file mode 100644 index 51717c78..00000000 --- a/examples/chance/chance_copy_2.ipynb +++ /dev/null @@ -1,653 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chance constraints" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import modules" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, min_max\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario, plot_fit\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results, min_max\n", - "from energiapy.fitting.dist import fit\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "import pyomo.environ as pyo\n", - "import scipy\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "demand_df = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_array = demand_df.to_numpy()\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 8760])" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated', varying= [VaryingResource.DETERMINISTIC_DEMAND])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=bigM, label='Wind mill array', basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=bigM, label = 'Solar PV', basis = 'MW')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {WF, PV}, scales=scales, demand_factor={Power:demand_df}, label='Houston', demand_scale_level=1, capacity_scale_level= 0)\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= houston, scales= scales, expenditure_scale_level= 0, scheduling_scale_level= 1, \n", - " network_scale_level= 0, demand_scale_level= 1, label= 'full_case', demand = {houston: {Power: 150}})\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "lp = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, \n", - " objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0xf6b5004d\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [6e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47974258e+14 -5.54798245e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - "\n", - "Barrier performed 0 iterations in 0.17 seconds (0.10 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 3.9317014e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.24 seconds (0.14 work units)\n", - "Optimal objective 3.931701394e+09\n" - ] - } - ], - "source": [ - "results = solve(scenario = scenario, instance= lp, solver= 'gurobi', name= 'results', print_solversteps = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results= results, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results, y_axis= 'P', component= 'WF', location = 'HO', fig_size= (9,5), color = 'steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'Inv', component= 'LiI_Power_stored', location= 'HO')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "# results_cost = load_results(filename= 'results_cost.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "from pyomo.contrib.pyros import BoxSet" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "weather_scaled_df = min_max(weather_df)\n", - "demand_scaled_df = min_max(demand_df)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiMAAAGdCAYAAADAAnMpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABmbklEQVR4nO29eXwV1f3//7pJSAKyyhIUo7hV6gYKleLybftpKh/rz9Z+Pm35qBVKq9VWPh+UT6tSFWr70VCtSqsoiiLWDdQqbghCZJVAIBD2PYSEQDZC9uXm3nt+fyS5ucvMvbOcmXNm5v3sgwpzZ+a8Z877vM9rzupjjDEQBEEQBEEIIkW0AQRBEARBeBsSIwRBEARBCIXECEEQBEEQQiExQhAEQRCEUEiMEARBEAQhFBIjBEEQBEEIhcQIQRAEQRBCITFCEARBEIRQ0kQboIVQKIQTJ06gX79+8Pl8os0hCIIgCEIDjDE0Njbi7LPPRkqKevuHI8TIiRMnkJ2dLdoMgiAIgiAMUFZWhnPOOUf1d0eIkX79+gHofJj+/fsLtoYgCIIgCC00NDQgOzs7XI+r4Qgx0t01079/fxIjBEEQBOEwkg2xoAGsBEEQBEEIhcQIQRAEQRBCITFCEARBEIRQSIwQBEEQBCEUEiMEQRAEQQiFxAhBEARBEEIhMUIQBEEQhFBIjBAEQRAEIRQSIwRBEARBCEW3GFm3bh1uueUWnH322fD5fFi6dGnSa9asWYOrr74aGRkZuOiii7Bo0SIDphIEQRAE4UZ0i5Hm5maMHj0a8+bN03T+0aNHcfPNN+N73/seioqKcP/99+Ouu+7CihUrdBtLEARBEIT70L03zU033YSbbrpJ8/nz58/H+eefj2eeeQYA8M1vfhMbNmzAc889h4kTJ+pNniAIgiAIl2H5mJH8/Hzk5OREHZs4cSLy8/NVr2lvb0dDQ0PUHy+wufgUympbhKX/r8LjWHewWlj6BEEQhDexXIxUVFQgKysr6lhWVhYaGhrQ2tqqeE1ubi4GDBgQ/pOdnW21mcLZdbwek17ZhBueWi0k/eLqJvzv+zsweWGBkPQJgiAI7yLlbJqZM2eivr4+/KesrEy0SZZTdLxOaPq1zf7w3xljAi0hCIIgvIbuMSN6GT58OCorK6OOVVZWon///ujdu7fiNRkZGcjIyLDaNKmobfInP8lCfL6evzMW/W+CIAiCsBLLW0YmTJiAvLy8qGMrV67EhAkTrE7aUTz/1SGh6Uc2hlC7CEEQBGEnusVIU1MTioqKUFRUBKBz6m5RURFKS0sBdHaxTJ48OXz+vffei+LiYjz44IPYv38/XnzxRbz33nt44IEH+DyBSwiExEqAyNSpm4YgCIKwE91iZOvWrbjqqqtw1VVXAQBmzJiBq666CrNmzQIAnDx5MixMAOD888/H559/jpUrV2L06NF45pln8Oqrr9K0XskIRYghkiIEQRDOIBhiuH/xdrz+9VHRpphC95iR7373uwm/nJVWV/3ud7+L7du3602KsJHolhFhZhAEQRA6WLm3AkuLTmBp0QlMve580eYYRsrZNG6mrLYFv3h1M9Yfkms9j+gxI6RGCIIgnEBDa0C0CVwgMWIzM94rwobDNbjztej1PFIEz16JFCDUMkIQBOEMQi4J2CRGLCQUYth4uAb1rR3hY9WN7Yrn+kTPpXWHPxMEQXDng8LjuH3BJtS1iF2CQYkU0V+ynCAxYiHvF5bh9lc34yfzvg4fUxMdot0pcjKP3Uo7EAzhT5/swYo9FbamSxCEO9l3sgH/8eLX2Hikhsv9fv/+Dmw8cgrPrTzI5X48SRH9IcsJEiMW8vmuzsq1uKY5fEzNb3j605oDVZj54U60+oOarxHZTfPR9nIs2liCe94stDdhgiAcQyjENO/ddfc/t2JbaR1uX7CZqw3VTcot24R5SIxYSC+F5jM1zeHj2Dbyy9e34N2CMry09ojma0QueiZbAQ8EQ1i1t1LKJlmC8CqPLN2FG55ajX8VHk967ulm7WW3vqUDv39/B/KPnEp6Lq8Ptbc2HcOcL/ZzWdPJTM1xsr4VP573NT7clvydWg2JEQtRau1QbVKzoKWt/LTyRoTJsHvRs1RBzYyNbR1Yvvsk2jqiW5AWbSzBXf/cip/OV99ZmiAIe3m3oHOPsqdXHEh6rp4xeHOW78MHhcdx24JNSc/lFRofXbob89cewc7j9abvZSZ8/t9n+7CjrA4z3tth2g6zkBixFIWWETXHsaD+1yMqovam4W9KQkSNnf3d29tw71vb8OfP9kYd/2znSQDA4aomEWYRBJEALWPa9Ix7K9XY9WMFDW0dyU+ykKZ2eaYFkxhR4K1NxzDzw51Rq5IqEQiG0BEMqf6uq2VEMJHdRFrLcXldK77YdTLpe7KSivo2/O7tQmwqTt7EGsv6Q52D297ZXBp1XNIsIgjCAnh2ketF8C4gwpeUiITEiAKPLt2NdwvKsPpAleo5jDF875k1mJD7FQIJBEksas2Hg87opdvOZOjx8yizNF543Zyv8Nu3t+GTHSf0mBWHmabPP360C8t2VeC/XknexKoViconQRAG0BNTkn18bC2pNWdMAnjMXIy0/+cv5yOoQ+EIX1IiAhIjCUjUhNbWEUJZbStqmtpxsr5N8RylbFbL+l+MP0+/gUnQ1U0TeZ3OjhMtA78SYaZAHj/Nv4lVpgJKEIR+9MSwROU9FGKWjh3jPT6v4GgtNutoJaaWEYeQyE8a23uEitqOu0o+rub3Gb34Z4UuN48cM6KzfKRwNH32x7v1pc1JOEQGBYnKJ0EQMWgJT7paRhL8FvuhxGOrjOW7T/bcX0Oj+qHKRnxcVK4qXGK7mYIR5z29Yn/CmCrT4q0kRhKgllHHTjXjmifywv9W+7JX6ou0c8yIUUfTe5lZh44sZG/kH0PpKe2tHbze5+/f3xn+e+QtRz78OW55fkPCsUEEQcgFr24a3nX1ttLTuPetbeF/a2kV/sFz6zB9cRG+2q8+bECJQDCEeauPJIypEmkREiOxfLHrZNJzYue5q1WIygNYDZllCD2OFvkMepsOzfZ7xl7eGjPVNhRiqNWxboASu8vrcdsrm7CjrE7x939FzLOPFZG7yuux0WRXFEEQ9qGnBSPRBw3v1aj3nmiI+reeu+8q1zYNuNvkyBaStoDyAph2L+OQCBIjERyuasJv3+5RrWrdD2mp0T/oERiR/ZMVKmNNeGF8zIi9xKYXOwBryusFuPovK7FLYU6+lmDx4bbj+P+e34D84lO49cWvk56vhJ5BygRBWIfe+vPvqw4l/D1R+OZdV5sRN2qzftS0VE1TzwecWrrySBESI1GcrNe2SFhqjPrQ4ySRx76dmxd/AkeMOpposRxbcMJTcAuOxZ2rxdbIBX00PZtCvol+JwRBaCeyvD63KvF+MnaOV49NSk9c0dra4/MBR2uacd2cr8LH1Fp/ZIprJEYiSNM4ElOr8+qZvy5yrnssPAZp6UpPY3JKBcoKW5VyQsk1GGM4frpFqqZOgnA/yctb7BnvFpTi5/PzVbZ4UI+9sUU7WVFfsacCsz/erdqSGj9zh3/sYAz4fGf0cgv/zC9RtEmmyEViJILYFg81x4sVDqoVolLLiBHDbEamuvX5vJ4m1tj8AayxVblFK/7gi2uO4Pq/rsazEu7kSRBeJvYDYeaHu1BQUosX18Tv15Wom11vt8o9bxbijfxj+EBl/xwzrTCq9ZHCTVNjvp7e2lSKt2MWd+y8pzzBnsRIBLF5qp752s4TjR6/j3wEu59HrYBWNbbhmYiKXrllxB6U0u7eI+P5rw7bZAVBEFpQiwvNCsufWzGbprJBefNPu2ZTpikoLK0DYEVBYiQCrQ1oWtwp/8gpfL4zfmaOnQtqGR4zYnPjndob6QhG26HUMsJ7tHunPUpTsrknQxCEAfwB44PJFVs9I8p7fWv0Qpe8Ww7MjBnRlY7GeCXThzSJEQNoyWgtO0DqvadbUWtpilX3SmLECt2UbE+heasPI/eLffwTJggiKQ1tATy9Yn/Cc9TCqVLLROSh0Y9/GfVb7HqWZsNNXKzTca2ej2Olj16l8+z+8EwEiREOyJOd0ThF32htLRLZTRNOjzE8veIAXl5bbHPKBEF0M291z9iPto4gPi4qx6mmnq4RtZiSTIzwQq2Sj7Vrf0WjbeM2lFKhlhFJif9C17ayqkyDgJxGW0cQS7eXK/4W+1pTFbzVkm6aBMFJzyZU3WwuPoW73thiyT46hD4+LirH794uRKtfeREoQp1Veytxz5tbcdrkAoS8eW7VQUxfXISfRewho1aEk3XTWE2sGPpH3iF8qtCdr0YwxPDz+fl46APlFaOBTtHhlA/RSEiMJCCy2vEHQuEA5vYuFTu11XMrD+JQVZOyHTFaPlWpZcSKbhqFotwteoIGEpz0yias2leF/41Y74QQw/TFRVi2qwKvbaCWLb3c9c+tWLGnEn9dnriLxG6W764AABTXNCc9V3EAqQXxXClWqSW1ZEvnLJffvlWIX7y6GSG1Dx7GUHjsNApKarFkaxmAztWpdyosBqlyudSQGElEROb97OV8jPnzl4o7+erJY1l1jAhHbesI4uV16pVCrE0pdg1gTbDomZnkymqpZUQWTkn2de8kqhqVZ4qIQnnMhI5zeRqTLH2V2NIRDOGL3RXYcLgGxTXKH2dAfMvsP/NL8IpCDFVMR6GmkunDOk20AXKhnjPde5oUHjsd95vsitNqjD7/L18vSPh7rNCwq2UkEUa6abrxuJtIhdfLrJvQM0NR6xpCamj1G7V7Kh0uOFobtR+XP6CeSOz1b26KX5XaqVDLSARafNIH+qrixabi2oS/xxZ8kSq+2xRze0sQhPORbYyccmuHHoGh/3m+2l+J9YeqVX9XW09E6XggxDDtne0956jUykpjQVRFj6plsefJE5VIjEQQv85IvJP+8vUteElhFT/TaXOqadcc0LfNtBJ6iyZvkdD93uPFiD0FRykdK7qDCHEs2liCdQfVKxMimnve3CraBH2ohAoTDZth6lr8+NWirbjztQJ0RCyx/vLannpBbV0itRgW6YuJFkaLvJ4xpktKtHeEMPvj3VEiKjIp0SKTxEgCtOeN8Uz83duFXJ3gl69v0XQeY0x9oJRgul9HrAAQWlg4JC3n2/Yukxcm7iYkelixp1K0CYqs2lupaeBqN0ohJOFHjsL5kQujdXfbVja0IfeLnoG9esasxKJ1gUXGEo1Nif/h810n8Ub+Mdz5mrLf3/NmobaELYLECAfM1JHLdlVgW2kdN1u0wBjDz1/Oxy0vbOAiSHhrBD1dIlY0lli1OJDsjStltS14ee0RNCoM0ibkJxRi+NMne/BxkfJUedk4XNWEoq6xeEa565/KLTZqYYFHC2f+kVNxx2KniuvZyV0rjEV/kLEE6Rjhy71iBScNYI0gVk12Z3uyL3Kz7t2hssOjWdQUf2tHEFtKOgfilte1IvvMPlGVrejmuu7041Y/VDDLro3ywrNp+CcXZsWeCqzeX4XHf3wZMtJSLUxJmVvnfY1TzX4crGzCMz8fbXv6hDm+3FuBRRtLsGgj8OMxIyxLh1cZyHl2LQBg08zvY/iATE537cSqHt38IzVYtS++0ta654y2eKV+r+g9xJhUs2HMQmIkAnU1zTGNBBUdb7Qu2iYbTOFvdqLYMsKlmybxTbqbSS8a1hd33XCB+QR10j0w++vDNbanTZinrsWeFi3e8erYqWb+YkQlxpn90GpWWSwvfuExM+moX6vFfD0ixc690pJB3TQJ6FlbIknLCIfCaadLRA9a4ns/noga0qJUQI2a8n7X4kSA9nddLXgdB5n2qyC000tpiWIHoFTOQyGGg5WN3Me1abmblS3DWmLlvNVHFFvLWdf/ev5tfjaNTDjTey1CzVGSuaaswVvLXHcefajcx4zoWGDMLmHfHaD0PusfIpZt1nypEyMJIRzbygKHeyQTGblf7MONz63DUysOcEgtIl0NBdhIPItdkNFMTPxoezne2Fii/GPsDEPjyXC5nickRhKgVWTI3LqgmFaECyqZLn6gpbIBIs2ys5VGdDea+Py3D9Hjo3giUYt7UiK3VVCye8H6owCA+WuNLaOg+mGpIbuNfKDxfvV7TzQoHo8eM2I+z2XyGRIjEcRWAh9tK7dscGkkIltWZAzGaibZNYDVKrSv3mitHbG0dQSj/NxBr9Q0D/1rZ/KTHIJoEasVO2ZrmRn/Z8T/Y8us2TLcoWJoZAxhSDA2RCaVoRESIwnYeuw0Xv/6aNLz9FSIMgSM2H7H6L8QyvB4QdruYaeHtPqDuGz2Cnz36TXhY04SeGZ5b+tx0SaYpqK+De9tKYPfhg8ns6zaW4kr/vQl/hbR/WLNjDjjpSi2wteUXtxO7oaTB6DejRVrj+oUYnPJC4Fm00Sg5L/rD9Vg6nXnJ7wu0kHaOoKOCuYy2hqeUq0hENj+AWDifcnYMrKvogHBEEN5Xat9iRKGaesIYld5Pa4+dxBSu8Yp3PLCBlQ3tmPEwN622GCmNfVPn+4BgIQbZPIgWYPB618fxRnpafj5t7I1rbytmk7XxVoXKjND5zoj0f823U1j7nKuUMuIBpKVvSkLt6CxrQPBEMPls1fgm7OW605DlFPI2E0j68qwdmFn65nyVufeev9PLd+f/CRJ+O93t+Nn8/Pxj7xD4WPds6+sEpTtgZgFvRzYBdANY52rpT7+6V48+K+dihtf6gmJ3eeqrVEVi9myHXtf5+ZEPCRGOFDT1I4XVh9Gsz+AgJGKVGDsd1K1I+usJa1otd7OWJ+q8EknoT61lBct2GvKKlZ2rZK5cEPy7mNenKhri/p3t8e0+oNRS6NrQevW9lbS3B7oSVvB2Y34v1X7c8Ud17h7KK0z4kK0ZtapJmfu5Ou1ikcLVhVPra1QVoeHqsY2bC7uXNKa8t+ZdITEjQ/pDomj//wlRj/+JZoiKvdIQiGGrw/XoL5rMbay2haU1Sq03ljhgwkKUWRMV/p2lGHrB8XB+grnqLVram2BkUeKkBiJwoxIDARD2jJW8ctAHErT2LxeQSWa7mwmUGlfZ8TaEHHNE3mY9MombDhUEzXF0mjyb2wsieo28Dp/X3UI/8wvsTQNpe4FK2hs68D3/rYm6li3e/gDnYLoUGWj4rXvFJTijlc349YXvwYA3PT39VaZqQMWNb5DqTzLHP+idu1NEFEkavDQDIkRTsjov1r8UeaC51XsiiPrD1crilE9TbeMMcz+ZA+eXXkQZbUtPM1zJCU1zXhu1UHM+niPaFO48MmOE3HHtPrHp13XHu3aVVetBcVuotZZUlr9VUdQtLPSVzLL7MBZmUQLiZEk6BngqaWQqo/y5u8VapYrTV2TUZPEvnq7hJN13TQa0xcc4CKTX7m3Ejf/Y73q12/k9c1+OSobkdhV4dpVFpQGOMfPPlFG8+Zx+kwyiU9X+dL6nq1ahToWX8w5Mo35MAuJkQhUN1fSUFw0O62Wc2xsrqCWEfvQmq9zVx3CyIc/t2WQotJXYGQlcvc/t2LPiQZMe2e74vXkPmLgsY2DFpQEhfrqpgy/+edWPNS1BUKKxtrFkkdRvWf0D3a9x260agdNdQ4SfNxqtkgeSIxEYEZkJnKMpNdymC+uhGF7JK1ilKyy+8PATOzSe+mfP9uLgMULWSlNo65oaMOKPRVRxxpUVs2MDOYyLOgnkoa2DkxfrCzarOKRj3YpHr/nza1R4nfOF/sxb/Vh3fdXjgXKC3wdqW7Gl3srsaRrc0it/pAs3ry3tQyf7zyp6V5a4L1RqBJWxNCEK67GoD0uylNmSYzYjGzjOOz+MuCNo8w3YOt3nl5j2borPvhUl8e+583CqH+r+YnT/Ycnf191CEeqm21Jq/utv725VPH3FXsqcaK+c0puWW0L5q89gqdXHNDtS4rdeCpBLHJQbVtHkFuF/OAHO3HfO9u43AuInU2jvYJXvJfAypyp2a7jtcvUy0NihCMyZaxWqC7RhqjXVF7XijqNazlU1Lfhw23H4/ZTCgRD2Hm8Dh3BEEY+/HnUb1q7jtTqMPKfHioa2pKfxAlNG751ZZrfxL5DydtFlBn12HKcbrZ+DxpVEmyUFzXuAnx8mHdLiObxZSbFkExVFi0HH4Gpbhqta0jIlPuQ88u22yIJTTOF0cfpnkKZjB/P24DKhnYcP92K//n+xeHjjy7djcVbynDdRYOjzvf5tNuk5t9W5dFjS3djcN903J/zDc3XFBytxQNLivD4jy5DzqVZ1hjmQFJiWgJSdVRBelpGYivkvSeVd57VkoaVRL4PLet5SANT2HFdKS98zuwypZaRCFQHsGrwTu1BPf7YnQs340BFz2wFEYUhds8DXdfyNSVBQubXxDBtgplrLY66lQ2dy4J/sTt6vMfiLZ19+F8fPhV1/KU1R7DzeL2me6uZHjVmhFNeHK5qxJubjmHuqp61SxhjmPnhTjy78qDqdXe9sQXlda24659b+RjiEiKzRcvHx/LdJ/F83iEwxhS/+OPjZOc5Wn0pFjvjnc8XO2bEXOrqK6Wauq0qseNdFIuctGoqMdQykgTNU6fMDGxk6n2/hP1YJXCMuoiRJmDGGCYvLEh63l817sti55iRgqOnw39/avl+/P7GS3CgshHvFnSKqhk/UG4tiTVl7qqD+KDwOD763XUY2i9Dtx2dffJmdn81dz0vkrUExHLvW53jM644Z4DmSrXgaC0e7JpFoxdLRHqCbsX46bH8k1dDa1Ja34iq7eLdTjfUMhKB2X4/LU1jWhxfxs3rEsHb79Xup/RWnPSqrLS1MWK2iw/AqWY/1h+qwfpDNVzurzZmJPI4Dz/YebwOf4yYIfLimiNYtvskWvzBBFd1kp4WHc7mrjqE46dbMX+t/r1nZn+8G9/92xpT64a0diS32QyRramJiIw53eJRS4wpr2vVHIvy9lVqOk8KYt5HokfUXGRtiENxMzaZep3jQC1CYiQZ+hY9s9AQGxFdv4tO3yqM+kcyF2z1B3HFn77UdY1eVFtAOKfzSVH8ip+VDe04WZ98R1q192uk9eaN/GM4dqoFH3RNU9VETDLdK49axcS56xL+3rOjbM+xEOucXfOtJ/LwvIYl/O0oi7M+3hMlpq0mbtyFhGgbGmBuJpBskBjhBM/R1LIWEDWsslfG9U7MtFoZvTTZZbGVnhUBSsuYER68qrDQ25oDVaqLrkWj/OBaVwJVwsysal6vhjGG6Yu34/FPjS0xHzuA9blVB1HT1I5nEoy/6UxXbYBn/EEzj1pa24JnvkxsC08i7Vea2uuk1lY3iREaM8IJJzlwJA41O0yywlhc3WSPIRYiQ7edmg28B7BeNKwvDldF55nWria19M3s36HrzVtUMRTXNONjhRajZDAw+AMhzPp4d88xC9bQ6xQt5nyUeysS78EZEsBiBrywRN00DlQp1DLCCQnqC1PI1Aqh2iNgwMR/e2atOWNMpM0LvWlb0jKi4TiPd/T/Lh5q/iYxaAnMBysbMX/tEbQHosd56Kpk5SlCYd7efAyr9lWF/x1iTHG/GSUYtPnST+fnh2dyGYVXC9s7OicC8FpP0PSAUwN3VMsfBubIMSPUMhKB8px6vtmqZZArr4rP+BgFfQaIdHy7RYKE9U1cPluxxoCW2TSi303kU//ls72Kx9W48bnO8Rct/iBuuyY7fFyGj4w0E007sQux6V1xVOupSrv76oGXGPnjR7tw+/hzVX9nDFGOatVHGGMMHcEQHlu6GxMuHIwfjxmh83rl405cP0QrhlpG5s2bh5EjRyIzMxPjx49HQUHiKYRz587FJZdcgt69eyM7OxsPPPAA2trsW63QDmRqWUgG9x0m+d6OiEGGhem0rMAq2s7ISva1yLEnOuL38t0nMSH3q/C/I8v11pJa7Eq0loZkYw+U0m9sC+Azrfu8qMx7teK5Qry7j8QXGXy0rRyLt5Rh+uIiLveLfe9qU8edKlh0i5ElS5ZgxowZmD17NrZt24bRo0dj4sSJqKqqUjz/nXfewcMPP4zZs2dj3759eO2117BkyRL88Y9/NG28bHAbsCZDSRJI9/PHFT6lBZgsKXfWFGaj+dr9HkIhhl+8uhkzP0y8noM1A1g1tIwIdlu1IKxnAOvByujxKt3PdLrZj5/Oz8ctL2xQbznU4K92wgDsOxk9/Xf64u2apkl3Y1e1JkrIKiZrwBSl+5xu8eu/URI0LQ3h0PpDtxh59tlncffdd2Pq1Km49NJLMX/+fPTp0wcLFy5UPH/jxo247rrrcPvtt2PkyJG48cYbcdtttyVtTXEaogMxwRO5MrM7UO8sr8eGwzXhxb9kQNaWkajjJu7Z3SJU3WRuTIQIFm44inUHq6OO7dCxSqr6mAT+CBMjyX5PYlei8W2pJrrXlG4bN+snwfUOHL+qT4z4/X4UFhYiJyen5wYpKcjJyUF+fr7iNddeey0KCwvD4qO4uBjLli3DD3/4Q9V02tvb0dDQEPXHDhSnsQkoJHYm6aS9GWQQfCJsSJZk/JgRC2zQMLXXrnfT0NaB97eWoV7jBoJmMPOVKdpf39x0zNT1iWZr8MaijakVsSspM2JECwkXa5MgVupF1wDWmpoaBINBZGVFb0KVlZWF/fuVl5W+/fbbUVNTg+uvvx6MMQQCAdx7770Ju2lyc3Px+OOP6zHNUnjuTSOrYpXKeYXbotBPLtCobkEcOZAxGGKWBzstiPCbK7sWeHv96xIsm36DpWmZqYyFu7FJVLeotwDuLSNad/Gw0IGVBx6LL7OyYvnU3jVr1uDJJ5/Eiy++iG3btuHDDz/E559/jr/85S+q18ycORP19fXhP2Vl4pqltc6mkaoyJ1xFt2+lxoiRbuIqTAtqEDX3Ftk1E7srrJVhXmnwYKJ/uwX7xozYk47yxn/W3DfFxMfCV/urcKgy8XL/iT6QbNhSjTu6WkaGDBmC1NRUVFZG70NQWVmJ4cOHK17z2GOP4c4778Rdd90FALjiiivQ3NyM3/zmN3jkkUeQkhKvhzIyMpCRoX9jK7HIlK2JiXZi59jtVboDddSOnRH5FhuUfArHrEKmOtiuhZ62l9XhnjcL8cgPv4lbrxqBmR/uxJaS0xg5uI8t6duFnVkbMqBGvtqfYD8cjbdjzJrnZIDm9VzUmLpoCzY89G+JE3ERulpG0tPTMXbsWOTl5YWPhUIh5OXlYcKECYrXtLS0xAmO1NRUAO79mnA6smaLDGaJ6K7pTjNqT41E/cUA/vOljRZb1YlMs2nU4K1R7n2zENWN7bh/SREA4N2CMhyuaopaXAxwfnxT29HWiscKGhAjv1q01VBayeznVcbNtIwAQEV9/PIXmoYM6DBfpk4j3YuezZgxA1OmTMG4ceNwzTXXYO7cuWhubsbUqVMBAJMnT8aIESOQm5sLALjlllvw7LPP4qqrrsL48eNx+PBhPPbYY7jlllvCokQW7Kho5NuuWiZ37MTZIVwdo0FcaQ2GyHvFdtOU1DTbMrgTsHfgYTLUyhbvyjMg00NbjNKYGcYYnlquPEbQiVgVAc3siaSF+5cUIS3VPYuo6xYjkyZNQnV1NWbNmoWKigqMGTMGy5cvDw9qLS0tjWoJefTRR+Hz+fDoo4+ivLwcQ4cOxS233IInnniC31NYjBaRIuNHkIQmmcJJS7JbgVo3jR2of+WbsyMYYkjxOWsvDa0tHhK4jCkYoFhTrzlYjbz9yutKOY3krSTG7sMjXiS7xcYjpzBiYO+44w4qSlEYWg5+2rRpmDZtmuJva9asiU4gLQ2zZ8/G7NmzjSTlGHgGHnsrPhbx/9HHCDno6aaJOBbZMmL9+FVVIhsJ9AqkFn8A339mLUafMxDz7xxr2hbZgrAMAtYsSq/USJeKTNg3nkphsCxnHw0oNJs61e9obxoXI1ls1kx3YZKyUAm0KTKQJZrFYkW+hxiwrfQ0rj53EADgRF0r7nmzENdeONjwPb/aX4WT9W04WV/BxUb1HUy53D7ifk4tWfpw+pgXJbSs6mxn+kQP7ulwEgxjzLHL8BLJSZazj3+6xwYrIgaw2pBaLLcv2BT+++Of7sGu8nq8vK64xyadRpmdbRCLXWNG3FhJq+FY4WXCbA9lr1Q1FomRCOxwQhk2MYp8TpkLXtx27oprBIh/n0DnAlzJMPqqu/MoasxIgptZVYG0dfQ0CTe3a9/fRA2zsw3sxNiHhsSFSyN25RD3N6Vjaq8Vyan5i1O1nR2QGOGE88NOD6IFCgNDbdfGZFrO5Y0jAkbUbJpoeJn/V50zJhLlRDDE8I+8Qyg4Whs+xrtlhOCL6DhgFU5+Lq3xTmvRkqkEkhjRAO+53UnvZaO0kbU+WLFHYRyBwCDy2Y4TXV1xxvEHQoprB2glcqqgHSufvrTmiOpvev3mg8IyPLvyIH7+co/A5D6WQ+24IB/vm9FLTMKc8ELHs1XP52TBIwoSI5xwgu/tLq/H9X/9Cp/sOBE+xmUKmhMe3iRf7q3E8t3aBlrWt3Ygd9k+7D0Rv8Hj3f80tlCTGifrW/GD59ZFHTvVzH/rci0kGktRXNNsefpWjm/wGRivk5YqqdKXEK+Mw7HDI5z6KkmMcMIJYWf64u04froVMz/cFfebU4OBnWNGtpfVaTrv/z7bi5fXFeOH/1gf99uucu1buHeTKGueXnFA9/3ciponiHJto+k+unQXnl7R00UmalyUQ0NCQuLGdjAWJ2JZ1O8a7xtzoupgam23U7yn7hs4DBIjSeAdBkR2i2hdOVKvv+t9psNVTSirbVFP3+EFbo9Ci4hVdATtfVnPrTxo6DpbKlQLk4jssKhrsW5122OnmvHWplLMW30EjDFUNrThF69ttiy9ZDjhI0svLObvVnyIWRHDmv1B3P6qOF+wGlpnJAkOrxejUNrS2u7nq2/tQM6zaw1dq2SrF9YJ6H5GGVqv/p53CA/84BuKv4m3ThkrPwCWbClN8Kv+N9IR7JmxFGKdU6hLEwh3K/H55M1Tp2LGFZduL487phQS9Pi7TPlLLSMSwqvOiW1+tKpPXY+9lQ3GB3ASPcgURGRBxFf8Q/+K7/Lsxlg57nmKYIihpknM+B+vwG1qb9xiavxRGrRu10aGdkBiRAMOzVvDX9KinZlBe8UiyzojohDVWqIkbPWawntVcZkX6AppfFitq+wSxokf32Hcb+zMIre7A4mRCMxmttudxU5EvspEoUnEZEc3+JVSvP80YlYXlzS43q2T1zYUxy2+p5XubDt+ugVj/vylpnVbYqdvi5ZXti16JszHWZw40SPwvz5cw9sgWxHtX5GQGHExehS/mVhg1wepDGMmZGHV3ko89MHOqFVR7UQ5y/Xlz6p9lTxMsZSaJj8WRCx5r4dud/1H3iE0tAUSrtvSTeR7Fb0hnddbHbVwusW6brTY3NcTZ52YdzSANQnOy1L7sWvvD6doEd5mKt3vwX/t5JyKdn7y4teKg6FFY5UoXrm3EjmXZllz8xiilvy3JcXE2GWDfTvpxv/bVDeNSXt0pSWDQ1gIiREJEe3g7l930ZnIkivbS+sUj7s1WO44rn9tGMBYOYrqpgkxaVdIdjJ6/DRpHqr9rJKIGeFjxWBVmYosddNEoOR4IcawbNdJAdbwx0ndHLLGYC2vkLftTso3NezITyubpo1kgdlsE9xLYyt2dSvYKe7syD5FgWJDulZALSNJWH+oBusPOXuQEuEOZBVosuC2VgQZZtPYt2uvmG4ay9KxJxlXQS0jHkLmqY+RqLZ82mqFQvqCKwfRz58M2e2zG/MtI4IHsDojXJhCeSFFA/eRyPmdmm0kRjxEwsqURZ5nnQ1aC4pWE3gHzFZ/EF/ulWuWh0RxTmpkE9tGvvZZTDkUPSuCfM84ZnPOaBx2ap6RGCEcg+JgW84l78ll+1R/8/l8mgq6U4OBWbTmxYMf7LC1lamsttW2tCIx8oiiW0NEIfKxzYgGNcHplPVZZJLvJEYikCUO2Bmo7e560JQaE1dIzK59EQox1Da3c7Kmk+4sksU/zfLe1uPYX9HI/XnUfOYTzour2YVb8lt2rHjNTOW+euKaZA19lkNihBNqzicSo75MQdA497xViMoGvmLEKSQStrGB1R8IcQ+2bgzeop/Jha9UX3zTeK4VA3A1zdxTySCtfiNTqCcx4mJkcjSrEB2sY1lpyXgTL+QkEYsM6/3wsiBZC6yoxdWYQiusrB9joscPWQ2JEU441U3sLnda3pNaEBYdnBmL38fCZgsEpp0cvdZx76axsBCKyPbO1UHtT9cKfvHaZtEm2IoV/qIU/+xa/doOSIxwQsZqQk8cE13RG4V/YeR7Px7IaBNhDW7N6q8PnxJtgiU89K9dqGlS7pYVpSNFL0FgFBIjEciShXbaoVRgZBUmosuYbFNHZaMjGEJJTbPib3Y0McvajG3ULjlLoTXYOmif85ud9fHuuNjk8/HPPyU/clNIIjHicewOeJqmxuowykuDIEWLsWTc+VoBvvu3NcgTtBuvbHkXngXlYFkh2SuVkpKaFs3nmvHR1o5g3DGlmKDno0mm/CUxwgmZMpWwDiFjB+xP0hTvbC4Vku5OgxvayUrnGCVx6WtdV0dGtNqtOA6Dw1OLzDendtPQ3jSccGb224+TRZtTC7kTYIxRNxiifWzSy5tQXidmwTa7sa1kWTKwVIf4kWzQdqw5IgdNU8tIBF6sbHisaurkZuhYZHSBnuZ+Z6C42JNCgCPtkRivCBErSORaesq4U8qcGyAxIiFWVYhOKVhumtJIKOPzxe/D4gUOVzXiyWX7cEplBoZsUDFMjsh35KZyQ900nPDB2S0rZkyXdRYDb0R1I3T7lYPdKw61Z5G1lc3Qpndd19S3doSP/fvc9QiEGIqrm/DqlG9xs88KvFGqYfpB5fRY50EtI5xwgkM6KbiIqnipRYbgSeGx01ixp2d2USDU6djrDtVg8sICLN1eHnW+6DgS+0El2h4riHwmxmkfDyd/iMoCtYy4mZiK1ariwvtrVu1ushf4QDAk2gTHECv6unPWba1sC9YVKx73B0JYd7Aa6w5Wo7imGQ/kXOztAbxMokHMFoYZOyKY3FFSHWoZicCpmaiK6x7IehLpnWRTLf/zpY38DUJPNsrahRGLFtEoua6Mw0qR9I+8Q9hSctqy++shJChfimuaMe7/VqmKN72oftBwuXtyFm0sQXtA/o+TuH15hFjRCYkRTnANVTZ6hFMqOEB+bbXDZetcGIUBeDO/BLsi3kcy8SF7q5fV5aS22W/p/bVyImIGT2tH0NZ2qlPNfjyxbJ+NKXZhwUM2tQfwwleH+N9YA/q2AZEHEiOckClTwxgsZHrrBd5fjZ3NtVxv6Wgkr6fjWHOgGo99vAe3vLBB9Ryfz/7xOWYEj5HdmBnrGSOi5xqRRObJyr2VaFFY9dPpxPkBjzEjCscqG8TMmHJYuAhDY0bcjJ759CY8WM9XI4kM44iuqHgTNbVXnBmamLtK/1fu3FUHsfpAtQXWWEdKRAEtKqtDUVmdOGNMoDXMJG+xM22KKWRvMeQJtYwQtmJK9Cjtw2D8drrpXB7b/uDgpK40s7jpWfUIkRZ/wEJLtJOa4sGvBZsG+luBk2xNBomRCFwnQi2MK7ki+nYVcFuWEd5k3urDok0AAGSkUZVgJbxbOtRCvBSzknRCnichor8OtaT/MqdR78rpqx0X/F5EqdXu5eBdpLzKT7dG7ULa/Wxum9qrlZ7xBS7KZIEkWh4g7jeTr9zKDQ2T3VdNcxiNVSK7hUiMcMSRYcRmox0o2AkLyP1iv+JxKwWnm8QcwQfRHzhmcZNPkxjxEi5y3G7s1jZuKvwiaQ9Ez9JweqVgFtLozkVkl4hSqenc28t5HkViJArvBsS4JZIFIjp92XDaomdKxNqeohIsvdpN49ycdR5x8SV2AKvOzLCyayPZnd1UWkiMeAkFz7U7CPKeTZPodtwHiwn82ggEQ9hytFZY+kZRmyWiJkYIgge6vCvRqsuaI6S280h0qkPrjEiIZUKbSoIjYQyY88V+vLrhqGhTdNPeEUKf9PjjsVNIqTWsE9HvQXT6hFhoOXhCGHZ/n2r7IGaKzfVKBcVO+xVH4tuEE4UIoL4CqReXsyDEE+uNsosvWvSM8AyKA6BstyIeJ4+P4I2T30VQRYyIWFzLuW+R0EvivCZPkBESIxG4TYR6dTAgIQ+BkPLOpWpixKjwemBJkaHrCIIHstUdToz8JEZcTGxgL65pVj9XotLEyxQj93FyK4SMqGgR7gNYP9pezvV+oiDvsxYtXidLDPD5kvuD+gKRzoPEiITY6UgSaZCkBIIqNZtN+Hw+IaLNSXkUS4eKGokVI15fgVUWHOxqjsDJZdlqSIxwRDZHc3JgV7L9va3H8fbmY7anSxinu0zElg3VZaw9Wh3K1DLpBtRKMYM1cVpU7ql1dhqNYiLd0PNiZOfxOhR0rd9A4UB+Hvlot7C0RVUYzvZLresvWP+UVOETSiReqyj59fsrGrnZYiR9t+DpdUYYY/jRC18DALY/9gPB1siD7qDNucC8uekYNh45Zfo+es2iyso+1F6111umyAX54JXX6Kbn9HzLSDenmtuTn0TYgh4hwntV1GRf6CIKvxdEkgcekZAAH+LLcGwEIV8UA4mRLsw6IM8KQ8ggSTMX69IDnMUDRQ5HEFcB0JgRwkVoD0P6/NtL5cGQGJk3bx5GjhyJzMxMjB8/HgUFBQnPr6urw3333YezzjoLGRkZ+MY3voFly5YZMpjgix3OPvvj3bjxubVo9Qfh5IZFUXvTOPeN0VemVmTZZdVr4p4xZ5cvN6FbjCxZsgQzZszA7NmzsW3bNowePRoTJ05EVVWV4vl+vx8/+MEPUFJSgg8++AAHDhzAggULMGLECNPG88ZMOZQlmAghyXt7I/8YDlY2Yfmek/bYYxDGaMyCVSR7qwvWF3edZ937d0Kl46UvYRF44e1qqcfURKdI/9MtRp599lncfffdmDp1Ki699FLMnz8fffr0wcKFCxXPX7hwIWpra7F06VJcd911GDlyJL7zne9g9OjRpo3niRecVCtWvQsrdmpNJAJ5f+UxxuhL3yDJXtvcVYe6zvPmC25qV97dmDBGokjjpDKczNZEU5idhi4x4vf7UVhYiJycnJ4bpKQgJycH+fn5itd88sknmDBhAu677z5kZWXh8ssvx5NPPolgMKiaTnt7OxoaGqL+yI7XmjeNIGI/Er14tTK0Gy83JKpxsNK6KaKEdoxEACvihrbVYhWuc2jZ0iVGampqEAwGkZWVFXU8KysLFRUVitcUFxfjgw8+QDAYxLJly/DYY4/hmWeewf/93/+pppObm4sBAwaE/2RnZ+sxUzOy6gdJzVJHo/N3tozQAFbdOPgR9Zru5W6yorI60Sa4BjW/i5s5k2SBMCcWPW3dNNbboRfLZ9OEQiEMGzYMr7zyCsaOHYtJkybhkUcewfz581WvmTlzJurr68N/ysrKrDbTND4tGwnYjG1f+RqTkbEARKJ1eS7COrzeMiW6jLjh7ev9QKHtN+RA16JnQ4YMQWpqKiorK6OOV1ZWYvjw4YrXnHXWWejVqxdSU1PDx775zW+ioqICfr8f6enpcddkZGQgIyNDj2mmYcwjX9kxqC3XbWGKXO/m6YHDDiJuOXhOLSBltS3IPrOPIRtkgzzZehi8IXi11mWxpzlmOfj09HSMHTsWeXl54WOhUAh5eXmYMGGC4jXXXXcdDh8+jFDEhlkHDx7EWWedpShEnIqbhIxVj2K3bjDyGIkqSRI+/OD1Ku99q5DPjQjCBE4L/zKaq7ubZsaMGViwYAHeeOMN7Nu3D7/97W/R3NyMqVOnAgAmT56MmTNnhs//7W9/i9raWkyfPh0HDx7E559/jieffBL33Xcfv6fggBfUshzIXaEn8gNxe9M41zfVXhmv5eAPVzXptIjwMoEQw3+9sinhOTJ9WFptikzfV7r3ppk0aRKqq6sxa9YsVFRUYMyYMVi+fHl4UGtpaSlSUno0TnZ2NlasWIEHHngAV155JUaMGIHp06fjoYce4vcUEsDzq9nOsiBPsTOG3YFDRJzae0L+2WTJ0Fo8nCy8CDlIVEbXHaxGY1tA07mEvRjaKG/atGmYNm2a4m9r1qyJOzZhwgRs2pRYjYqGVuIjZPoiiuRvXx4UbYJprHq1cuaYMXw+X9x7unDoGThS3WybDZIWAW4EgmIf0I7UnZqFnt6bhmemyVqRJUOiVjpDJF70zEZDTLJij/LUeK/h5am9SpyRYe3G6gVHay29v9MxOhCUW/oWSQsZ6ytPi5FIZOo7sxOm8DfCfu55050DMfUGUyu7aWTvAhIRgn7+svJilW5Fdh/ggVOrMhIjXZgVilLOtDD8TNYUWAnfkG7cH8rsQcbiQrgDvWVUxlYCwHidoudpZHp0EiMS4lb1LtNTzVt9OO6YTPa5hfA6NvR2NRH7nryo2YIh+3xFKSUjFbTT/FtGa0mMdNG56JmZ65njHBKQ96vAap5ecUC0CZ7Gi5WsE5AhhjX77d00UMpWbZNoDesyPTqJEcI2fLDX+WUIrAShFZkqBieT6ANL9ABpj377acLTYiTSaaniIrRAwcS5ODLvSKFwRSnOO7l12KjpMj6yp8UIT2Rt6luypRTrD1Wr/t7tk5HOKaOj2oHZrjoiHr3vU/eXq4vyy+dTeF/kkI7Asqm9Se7Lu9oR6W7WTmL3EFzVNadb7T3ZgA+3lwMASubczOemBMEDlShKLZSEnSSL27JrQaVSpMdmmZ6PWkYicFsgPFHXKtoExyFpAxehhtvzixxSN+6K4olRe9ZkdZmMdR2JERejyd00nPTlngq8mV9iLh0BWKH6ZSzEnoaygy8uf5/CB7Da8IKdql+pm6YLVy56xonfdK0Oes35g3HJ8H6G7+Pzuf9DlogmHHxdXsnxQHRFSciFUW+QqetFD9Qywgknj8iORe1JapraFY9rLTRWvCKe4ZuBObYgE4RbsFOSeb24x35Di2z59bQYiXvtknimnWZ0O58kj64bnnZ3CN7R042QuDOHF9tKzLqMWZ9zg88mewYZn9HTYoQ3smWwXYFM62PL3pN1/V+/SnqObHlMuBu7y8xml+/iq7jOiAA7iHhIjHDCzWNGvEJdS4f0golwL4rrjNjMf7+7XawBFmPVuJzkLRHGMtZqdxDtb5GQGOGEjGNGtFgkodm6IO3gTHaU1Yk2gZAUK8u00seGrWNUHB5vrYTESBfkJMlRe0d6CjOPFqSqhjbT91DDiX2tMiPT+5LJFhnZeLhGtAlcSDQIM9YH3OoTTnwuEiMRyJJ/3BzJpn0L7H5v1zyZJyxtQi7ctu5LeV2LsLQXrC8WlnYkVuao28aMKMVqM2WCloOXALcFNa04UUFrxc3P5hScPlvLTpZuL8fqA9H7SFE3JF+0jBkxUheIqj+MNjR3x0aZxsh5umWEKqse7HkX/D1forJEEKaIFSJexcoy7YWPTqcunudpMeJ6pPNJ+QNBsi8FLwQznlgtct2+Nszplg7RJjiORD6nVFHLusiallYL3t00IiExEoEXW0o8+MgJ8aIPOJ3cZfs0nefEIH20plm0CbZjZS7FV/B8vMKqge9WTwmWKd6RGJEQ0UHTumnKTm1AJIxihye/vE6OgZeE/MhU+fLA8JgRCYU5iZEueDipdNkrnUH2ImOBIwhZkaW0iB4zElkXyC5eeNsn8nFJjLgYbYueSV7aJINelz7IvwgRqPkdtc3KC4mRLrweMqkVgbASEiWEmxHl3WrdNMnKm4zF0dNiJLYCdluF7IVvgLpWmm0gMzKVKBkDMCEWu33CDlGuJwlaZ4RIiJ0FRCkpJ8Xs2ma/aBMIwhW4RawxJt/GpVa92urGdovubD8kRgjNmG05sjs+WBFcF20s4X9TF+OWCo5wB5oGsNpgh1aM2KJpfZLu/8bt1SPu6UmMELrxav9/a0cQHxQe53KvwmOn8R8vfo0ij+xeq8Vl1hyoQkcwZL0xBBEBl5mUEsVEiUzRBe1N04VMzmQntveZ2pscVwIcV/v8z5c2AgB+Nn8jDj3xQ273lQ/t7+yXr2+x0A7CKfDoYuE1m0bkOEIzM3+cGGepZSQCj+oRAPqe3c3vKdGjWfHcbl/OXCboTTsDsx+GegQEg1yDOO1Cxo9vT4uRqMVtxJkRBy9bZHomwpvIuDsooYwX4gX5obx4WozwRka1mZx4m/U+hqzPbWjwV6LfKJAZRlIXITyG4sZyblx9WyMyxTQSI4RunFrwCPshXyFEYGbciRUfV7Z/sGlMLm42DX9LNENiJAIKnMYQOad/9DkDhKVNEG5C1hZOvXh9/JumbUAst0I/JEa6cKNTapEIRp5bT9CKPZd7wOMshFzoBkJxY7kirIVcpgcvlR8SIxLS3hG0PU0zPq9VYNjdfsJb+HgpMPBGhlfnli9/Ijl68prH94zW5GRxQSbhcj4kRsJI4iUA/u2ZtUIDZ7KpcWq//uWzvfi3Z9agqT3A3yhVY/i+p1NN7lleWQZIABB2o9fjErmoE91XS5mbvHCzDZbog8SIpPgVVqJs6wjirU3HcPx0i6Z72N13+NqGoyiubsZ7W8p67u+wwhxKYK9MI88JgrAGh4UsRZJ9UO44Xm+TJdqhFVgjkOkrTsmUuasOYf7aIzgjPRV7/vzvGu5hz/PEDmAN2fkeSSFITbcnUC4RWrF1o1CJYn4cAgqNyNdBLSM2sru8HusP1Ri+fsPhagBAs9/+MSVAj6PKtLkS4QzIQ+THTcXY/hl+xrq2iR5IjNjI7Qs2iTYhDqsDUOzt7SyUvNNyU7C2C5nemUSmEBYi88eRyL1uZIfESBd2rMLX0GbjwE6Y+DpI8iBUoAgnMbx/pmgTCJtR3SjPaf2FBkOtxHpMFRIjXdS3dog2ISlmdnFMhsxfE4RzkUG4VjS0obi6SbQZhARoCXPG1l7Sf41VyGSLHkiMdPHimiMShE2+aJlia6Sy0LfCoX1vdc2BKkxfvN0RwtJriA6Q//v+DrEGOAAZhCMAW/vTJHlieRD4Qjw9myYyQLZaPCiUWh6sH1T2y9e3AAAG9u6Fx398uaVpERqRxO0bbe4iJcShe50RjvcijEMtI12Q07mHk/VtAMR/jRPywBgjf0gCvR/rsHW6sjxtXLogMeJxbJ9NY0MpcWJBdCuy5IUsdhD2oNYKq3Q4/pCBrmut55EjqkJiJBILHcVJTuggUxWx6l0783uDAOB8p7YBJ8UoozjpGZ028ccsJEYkRanQyDItzUkFmhAL+QqhF7OinzHtY/QYc59O1VrmAsEQCo/VWmuMDkiMOAgrAruRW+4+kXhfg0g7xVRGLOo/vLByajVhLW6rcAhvYGVr7N++PIjTLdEzD0W2/np6Nk0kVs92OXqqWdf5orsEgiGGae9sw+UjBsT91tYhZjl6JUgeyI1oP+6GZrMRWnH6OiOANnteWXfEekN04GkxwjtQJnKA7z+z1vT97eymWXuwCl/srsAXuyvCx9QeT2Q5NJL2yfpW7nYQiZFClEhgAmEDHPOZt4i1ZQC/xjR8Pp9UKoq6aSKQImB2YZePKBU2xoBWf4jP/YXuTqPMj1/42tB1MvmHU5Al1klihtR4wb9jP+iUnrnsdAse/GAHDlU2ckvXyLu1+uNTtlZlQ2Jk3rx5GDlyJDIzMzF+/HgUFBRoum7x4sXw+Xy49dZbjSTreWRznm602mWX/ckqwKrGdkvuS8gL5Z1z4JFXalN7tdz7V4u24r2tx/EfL200b4gJrPZZWSZEdKNbjCxZsgQzZszA7NmzsW3bNowePRoTJ05EVVVVwutKSkrw+9//HjfccINhY72E3bHTjcHaC196skM5QIiAR/eKnlV7ZRqTxKAt9lm9IrZedIuRZ599FnfffTemTp2KSy+9FPPnz0efPn2wcOFC1WuCwSDuuOMOPP7447jgggtMGUzIR8LllK1W90ppWpsk4UBImHoHymttKMZOga9Olxjx+/0oLCxETk5Ozw1SUpCTk4P8/HzV6/785z9j2LBh+PWvf60pnfb2djQ0NET9sZrOuemWJ6MZmZS2zNBbkhuZ/JgqqcRIlFVEF17KE11ipKamBsFgEFlZWVHHs7KyUFFRoXjNhg0b8Nprr2HBggWa08nNzcWAAQPCf7Kzs/WYqRkvZbQekgXt2PU2YhU2BX2CcB5eKLVxPRM2P7Se5Iz2omj9AJCsl8ba2TSNjY248847sWDBAgwZMkTzdTNnzkR9fX34T1lZmYVWehtDc+pNlGAnC0AHmy4MWd4ZLVjnHGTxGT0ks1nGuCdbmdC1zsiQIUOQmpqKysrKqOOVlZUYPnx43PlHjhxBSUkJbrnllvCxUKhzymhaWhoOHDiACy+8MO66jIwMZGRk6DHNNLJ9zTe3B/H793fgh1echR+PGdF50EYpq+d9iHxzyv2erOu/fNOSMaA4BXp3hF0k8jW9fuhUt9XynI5uGUlPT8fYsWORl5cXPhYKhZCXl4cJEybEnT9q1Cjs2rULRUVF4T8/+tGP8L3vfQ9FRUWWdb+4gVfWFWPFnkpMX1zUc9DCiC6bGDODe57EBVBmOAeP5pVM45p4oPVpZBv8r3sF1hkzZmDKlCkYN24crrnmGsydOxfNzc2YOnUqAGDy5MkYMWIEcnNzkZmZicsvvzzq+oEDBwJA3HEZMOuTPCv0U83G1sLQi5rNsjXhqeGuMEJYicvqHEIinOhbsk3t1S1GJk2ahOrqasyaNQsVFRUYM2YMli9fHh7UWlpaipQU5y3sKpszKdojmfN0E2vV5uJa3HX9BUhJ8Vn6Xh/6YCd2lNXFHZctL72Mm1rcCHuws6XC/vWctKdo9QehbLWJob1ppk2bhmnTpin+tmbNmoTXLlq0yEiSnkPofi8qiasVpNijefursGhjCX51/flRx3lrqSVbaWAzoQ1JdbxcuOQdJYqdSn4gWwtBN4aFPHNmi7HzmjA4wlT+7iV4fISEFO7xfuFxxbTsfM+806KvfP3I0kolix1S49F3JPOYEXkt44+nd+2VGaUCIot+P/OM9Kh/f7rjBM4akKl4rqsqcBc9CkHE4qqyqoJVusML785qPN0yEglj8ruTlfbpKaRnpMdr2FfWFcfcT0FM2aSmZM9HLyHLR6fPR35BeANz60CJKyUkRrqQtd/QalTHh1DoJjjR3B7Aoo0los0gHILZyJOoQo0N88nqXpFi2ikzGnlBYkRSlAqBXa6ZdDVBPfcSUJh7Fj0jQSUaBuDtzcdEm0EQAMS31NmWvOgHNQCJkS6o4kqOntYj9Rk5nIwhHENbR0i0CQCA8tOtok2QGi+UTcsawCV6d5rzUbKGFxIjXdxw8VBPChK1J1ZqItTT4iCym8eqLjfveYd5GGPSVHK3vLBBtAlSI0k2mcYtz+E1PC1GIivVS8/uz+GG5m+RCCcOaxERGE7UteKuN7Ygv/gU1/t6Uay6BQcWHcICnFaEvRRzaGqvpCi1LJjxy0BQfFO5XWLqcFUTDlc1YdW+KnsSJFTxTigleGFn/ctsasM18kxG4yWD8XInsrx6umUkCsmiphHnTaSin1y2P+E1kZcmU+NaTFO6hdNF/tKiE6JNIAjL8MJXeGtH0JL7an5zOl6xB7IjChIjDsJMy8LCr4/yM0QD3eXICwGOUIeyn7AbvT6XOKySA9sFiZEIZHI7NwbxzoWnXPhgBOECvLrWkttwat1BYqQLN1SShrp2VI8rjFnRkQ61iBCd2NUrT5jFi2XW7v2y7MKJWUlihLAEFvNfgiAILThRvFpR+YtoqBIpYjwtRqJ27ZXM/2UukI1tHaJNIByCbOWKUMctWSVj7DRqk5GrZHx+LXhajDgNS4Qyi/pP3N+V+MmLG62wRBcyTFUmCILQg0xCQbYRQiRGumBw/lccT/NNb9LULXIseqe/fmOrNTcmuCJLkaLBmd5Cj9/x8AyZRIZTITHCEZ7uqLcSb/EHMH3xdo4WxKOn0CqZ74OPmzhZe7Caz40IgpALWxc9k0cw84IxZw5GJjHCCd55r1iZJ/i6e2VdMT7bedJAOtoN17dbr9JsHOcVEMIcnYFRtBWEFlyTT4xfF4TId+K1tjwSI5KivIKpesmobmy30BoTuCXAEYTLoaIqFyLyQ+QHo6fFSPQS6ICZ7HdVlzSzxilNj0MhHAe1hhFO5sPt5ZrO09qC4prWJwvwtBhxGlYMwusuHLz7GKnMETJBMtg78Iw9L605wuU+9m7+58z4S2KkC7NfcKR4ozl2qgX7Kxroy9jjyFIuJDGD0ICdeSXzQE8frC0/ss0wIzEiLfq8UDK/AgD8+9z1ccckLvsEQbiATcWn0Oy3ZndeO7H6GWQTYiRGOMFbDNjlJ7qSkct3CQcgi8tIqNXlQ7LKySjTFxfZnqZUb85MPtJy8HLgkrJoGgbGbbApvVOCIKRG4hh1uKrJsntTN42kmK00vVDpmh7/IZfvEzYgW1MwQYhEb2m4bcEmY+k4sNiliTZAKEzxr4YpKqvjcJdOlFcw7WHtwWqMGt4PWf0zzaWjsDeNZTiwgBDmoWx3BrLkk90zT+z4SNpSUovS2hakpVj//S9LPurF22KEMx9uO87tXsm+KKcsLAAAlMy5mVuaUemruLTeL12nFgyCIAitJIuLv3x9CwDgxkuz7DDHkVA3TTcm5bhk3W9y4qNFsAiCkAwbQ1LJqWb7EnMYJEYiMOOTTuyjA0gcENYiTbmgj4WkSJNXhCkYM16XiXQB6qaRlEinYIzhnjcLsfXYadXzeS61rhaUjAQrGsCYnHW0A7H1kBsmxZMfJjY/MoVDdahlxAHUNPnx5d5K0WYAoMJkBZO7xv+4EU9WcIQpnOgzzrNYvqEFJEa6MOtMVi56pqV1wWgB1iMuSIgQhpDBcSQLvIQ3sUMAOLU12tNiJLYCN7VwHeMbc6NuZUcgjbGd26JnXO5COBWHxkVPQrtquwcnChJPi5FIHJh3UTglkDj9PRMEQcRBcc00JEY4YlUTnJVCQ6kMdY7Gjv/F9NbUVGA9B4lP5yDLWA17Fz2T45l54tRZoSRGujDbrOXzUeBVgt4JQTgDKqvWQ+9YHRIjnODtZDL2+d39z63YebxOtBmEg5DFi53RiUkQ9iFbmSAxEoGsTXZaun8MdxHpFD1GN24ivIucpYog+CFT3aE1pMtjcSckRggA2gtTW0fIkvsS7kTGFj5CGcoq65FtbQ+Z8LQYiVrLw+S9fD6+SjPSNi3+a9m0Yo6QMCEIIhl2Rgm1wfpeReS78LQYicRsZU5fFQQRDxUL+dlRVifaBM9gRz2hNQnZGmlIjEQgq6DYcLgm6TlGm//UHpnbdGJJ3ylhE5T/0rP7RD0AyiozyFZ3yGaPFkiMdMEj73gqzcjmsumLizjeWRvtgaDtaRIEYT/dFZdXx/c4ZcFIt0NihFBkxns7uN/To7HO01B/PCE7bvNRp4pKEiOSYpc/MQa0dQQx54v91tzfkrsShD58NI0hKbK8IzsrU4fW267E02KEtx+K9GszYeTV9cU43dIR/reVwYAKv7eg/Ca8gFv8nJaDlwDGzDfWcZ1ea6NTFFc325cY4TncEqgJwiloqc1kaQnrhsSISzAa761uEi2iaYOehnSI/HTnkVPHGjiJQ1VNok2QFhIjkmLnoCorU7rnzcKedCjWEQRBSIFs4pPECEdEtnrJ1eBGEJ1IFu8IJSTLJDvN4ZWUTG9QsuzUDIkRj6Pktw71ZYJQhcQ64SW0CBIaMyIxMjVb2fp1YOdUOpI6nkKW/JbDCrmRKPzZilefWwmRr8LTYiSyEpbNIW3dLMrGtAjvIYsgIQgv4NTy5mkxwhuRgsZok5udNncEQ/YlRkiBLCJfrgZpOXFqJWYGxhiXsX4ytao7FUNiZN68eRg5ciQyMzMxfvx4FBQUqJ67YMEC3HDDDRg0aBAGDRqEnJychOeLwosF0W5eWntEtAkEQcRAkY+QAd1iZMmSJZgxYwZmz56Nbdu2YfTo0Zg4cSKqqqoUz1+zZg1uu+02rF69Gvn5+cjOzsaNN96I8vJy08bzhI+w5bnqmc7TTTxA7KVWifydx+utuTEhLVTREbLjtkYNxrSVu6b2gOW26EG3GHn22Wdx9913Y+rUqbj00ksxf/589OnTBwsXLlQ8/+2338bvfvc7jBkzBqNGjcKrr76KUCiEvLw808a7GbtaalxWDgmC0InbKmMROPEV+gPx3eYiu5t0iRG/34/CwkLk5OT03CAlBTk5OcjPz9d0j5aWFnR0dODMM89UPae9vR0NDQ1Rf5yBuJ5pM9O0bB0s68RSSxiHMlx6ZPtCJryJLjFSU1ODYDCIrKysqONZWVmoqKjQdI+HHnoIZ599dpSgiSU3NxcDBgwI/8nOztZjpiugGE64BRl8WbIlFaRCtnfjxEXPZMKpz2TrbJo5c+Zg8eLF+Oijj5CZmal63syZM1FfXx/+U1ZWZok9TOXvxu7lTBegUeCElZB3OQevhgLZxBgPnJiXaXpOHjJkCFJTU1FZWRl1vLKyEsOHD0947d/+9jfMmTMHq1atwpVXXpnw3IyMDGRkZOgxjQvmM9CBHgASJAThZbqLv1ejAI/wRyHUPLpaRtLT0zF27Niowafdg1EnTJiget1TTz2Fv/zlL1i+fDnGjRtn3FoLMetMPs7jRcQuekYli+ADBWmCsBenljldLSMAMGPGDEyZMgXjxo3DNddcg7lz56K5uRlTp04FAEyePBkjRoxAbm4uAOCvf/0rZs2ahXfeeQcjR44Mjy3p27cv+vbty/FR3IWdrRW7aMotYSEbDteINoEgCA2IFDK6xcikSZNQXV2NWbNmoaKiAmPGjMHy5cvDg1pLS0uRktLT4PLSSy/B7/fjpz/9adR9Zs+ejT/96U/mrOeI2TEfTh0zAgCltS22peXct0QYgTFG68sQurAzljq1FSEZTqyPdIsRAJg2bRqmTZum+NuaNWui/l1SUmIkCYIgCG7w7kZ1E92tsDR2zAzyvDsnChGA9qYJ07lqnfFM7Ax2/AKeXe5E8YewElnc60Blo2gTpMXrA1gJOfC0GOFfEfO7oUiRQAKFILwDFXdCBjwtRnjCwKgSJ4gYqEwQhL04tcyRGJEU27pp6LuIIDxNd+Uly6gaeytTPh+RsgkA2ezRAomRLhgz55SiB8g5ZRVBGiTnLSi3nQPlFSESEiMEQRAexuuto075kHM7JEa6MPvBzrtA29WCQA0VhJVQS5j8UBYRMuBpMRIpIHiUR5EKm2c3EcUmgvAOLO4v3oExTnvTmL+F5/G0GOEJjRkhCMLJyFKhymKHUzHTGimylYzESBc8FDLPjNR7L6NahAo+QXgcyfpplu06KdoEXQzs00u0Ca6AxAgnuI8ZcalMcOdTEWpIVs8RCoQky6OnVxwQbYIurhl5Jvk5B0iMdMGj8hfpj9RNQxAEQThVGJEYkRTd3TQG1YhSOk51ZkI+3NrC5ya688iLM5/c+sROzEsSI110bpRHEAThLWijPEIGvC1GqPTZzrFTzaJNIGzEgR9onoOyyBxf7q1EZUObaDPCmMlPkS2Z3hYjEXBZZ4TDPbqxbzaNvc73wJIdtqZHEERiZNubxon8+bO9ok1wPCRGOMKzWtdzr6b2AF5eV8wxdYLgA311yw+N63EfTmyRJDHSjRNzr4unl+/nej8KTgThPbxY6h0c9lVx6jORGIlAphHIemzZd7LRRDqGLyWIpJB/OQDKI0ICSIx04eTySC0ZBEEYpTt6eFU4UvyUAxIjLsCrQYSQHwr08iNTizBhHjNljvamEUTke+eycyPHnNRzq/0VxrtpCILwNj3rjJAocQtOzElPi5FInFwQm9oDok0gCEXoo1t+vJxFDEz4jutEJyRGIpCpUIoUR1SBELw4Udcq2gSCSIiTP0SVcGr8JjHShVMz0CzUX0xYydubS0WbQCSBQgAhAyRGJIUCBEEQdhBi3RvlCTaE4IbRvBTpAiRGupCtHMpmD0EQBEFYBYmRSByqAC4Ycobha+lriCAIr+LG+OfUR/K0GIl0RDc6pVHoVRCEd6BxY4QMeFqM8OTrw6dQ29LB7X56AgSFEoIgjOIPMmwtqUUwRJHELThxhlCaaANkgUfm7SirM29IF3a50jMrD9qUEkEQMvJuQSneLaBZT66BMcDnvLVTqGWEIAiC8CQM1EUficguOxIj3TDJmrYkMoUgCIIgrITEiKSI1CI0oI0gCK/gwB6NhDg1entajES2hDg1AwESDwRBEEQPTqwSPC1GCIIgCG/jxIrbjXhajESvMyKXR8pmD8GPjmBItAkEQcCdcdapj+RpMRIJY87NRMJZfPfpNaJNIAiCiIP2phGEzNpDZtsIc5TXtYo2gSAIF+PE+sPTYiQSJ2ZeN7xtX7KljPMdCYIg5MR9s2mcWZt5WozI3F8o0rSNR06JS5wgCMIm/vTJHnd2zzvwoTwtRiJhTK7WEaeqW4IgCKdwuqUD+yoaRJtBwONixIHikSAIguBIS3tQtAlcMfNhLbJO9LQYiUS2lggSSgRBEIQRnFh/kBjp4nSzHzM/3CXaDEM40fEIgiBkIEQBVApIjHSxtOiEaBOioPJBEARhPSGXxVoG+Vr6teBpMUIVPkEQhLehlhE58LQYIQiCIDyOC7WIE/WVp8WIE5uyCIIgCH64rRYwt0yFuLfhaTEiM1oXZAuGGIkqgiAIg1A3jRx4WozI7IMn6ts0nbds10mLLSEIgnAvMtcDRnHiM3lajLiButYO0SYQBEE4Fre1LDv1eTwtRpyZZQRBEAQv3Da1F3CmIPG0GCEIgiC8jcwbphrGgY/kaTHiFid0yWMQBEHYjtvi5+KCMlQ3thu6lvamIQyzam8ljp9uFW0GQRCEI3GZFkF9awc+3F4u2gzdGBIj8+bNw8iRI5GZmYnx48ejoKAg4fnvv/8+Ro0ahczMTFxxxRVYtmyZIWN54wYnXHuwWrQJBEEQjsUtLeROR7cYWbJkCWbMmIHZs2dj27ZtGD16NCZOnIiqqirF8zdu3IjbbrsNv/71r7F9+3bceuutuPXWW7F7927TxhMEQRCEGdw4gNWJ+JhOWTh+/Hh861vfwgsvvAAACIVCyM7Oxn//93/j4Ycfjjt/0qRJaG5uxmeffRY+9u1vfxtjxozB/PnzNaXZ0NCAAQMGoL6+Hv3799djbkIOVzUh59m13O5HEARBEE5lweRx+MGlWVzvqbX+1tUy4vf7UVhYiJycnJ4bpKQgJycH+fn5itfk5+dHnQ8AEydOVD0fANrb29HQ0BD1xwoWfn3UkvsSBEEQhNNoELhulS4xUlNTg2AwiKysaOWUlZWFiooKxWsqKip0nQ8Aubm5GDBgQPhPdna2HjM1U3C01pL7EgRBEITT+NGYs4WlnSYs5QTMnDkTM2bMCP+7oaHBEkEy9bqROFjRiM93nURNkx8AMO68QThrYG90BEI4WNWI4upmfH/UMKSnpcDnA/yBENoDIQzo3Qs+nw8AsP9kAw5VNcXd/3uXDEW/zF5gANo6giipacahqiZ85xtDMfiMdARCDIFQCC3+IDLTUtErLQWt/iBW7asEAIwa3g/7KxoxYmBvDOnbef6eEw347iVDsb20DvUKKvbyEf1xwZC+aA8EkeLzgTFg+Z4e4Tc6eyB2lNWhV6oPHcHOHrobLh6CtBQf+mb2QklNM3aV18fdd2i/DAw+Ix37KxoBAFeeMwDnDOqNU01+bI4QdT+5agTaOoJo7Qii1R8M/3bOoN44froVQ/qmo6bJj2svHIwj1U2obGjH9y4ZioF90uEDkJLiQ3sghE93nMCo4f1w6VmdzXqBEENjWwcG9UlHdVM71h+qQYqvs7/34mF9w+//nEG90btXavjf3fdoD4YQCIbQKzUFn+08iV6pPnwjqx8uGNoXvVJ8SEv1YWnRCQzs3QtD+2XgwqF90btXKoDOBYT2VzRi5/F6XHnOAFw0tC96paagLRBEiAEZaSlI6XQFNPuDaGkPoPDYaTS0BXDZ2f0xanh/MDB0BBlKTzVj5JAzkJGWgobWAMrrWrGrvB4jBvbG9785DC3+INoDIfTplYq01M6b+gMhpPh8SEnxgTGGEGNgDGjp6PSbzF4pSEvxIcSAFn8QAJDeZVNVYztW7u30p8vO7o9x5w2Cz9f5jv2BEE41t6O5PYBLhvcDY53vMxRi6J2eivZACIyxLr9nOCMjFYwBFQ1tWLm3Epdk9cNlI/qjf2YvhBhDW0cQ/kAIvdPTcEZ6Kpr9QXy1vxKVDe247qLBONXkR2tHEMdOtYT95Y7x5+JoTTM2HjkFALjx0iwM7ZcBnw9IS0lBiDH40Plc/Xv36nw/HUFk9ErB3pONGNo3HUP6ZsAfCKEjxNAr1Ye+GWldm4UxBIIM/kAIIcawtOgErj53IC4c2hdpqT4EggzpaSnYVV6PncfrMfGyLKzYU4mzB2TihouHdj5TIIReXZmb0SsFgA/N7QEwAJlpKeiVlgLGGNo6Qgh0pd8rpfMbryMUQkeQIRRiGNCnFxhjaPUHUd/agUCI4ZxBvdERZCiubsK20jrccPEQrD9UgwuGnIGrzxuEVn8Qn+86iXHnDcJ5g88I531rRxBpKSnISOv5lmzxB+HzAb17pSI1xYfimmacamrHuYPPwLqD1bjh4iE484x0dARDCIYYMtJSkZbiQ9npFmwpOR2+T2SZi7wnuspmXUsHVu2rxLjzBiH7zD7wAfAHQ+gIhsL3BIBglz+kpaagT69UBLt2b+u+5xe7KzBqeD9cdvYA+IMhNLcHkNkrBct2dcaqvhlpuPbCwQiGGM48Ix3+YAinmvxhH+wsD8CJujZk9c9Ais+H3r1S8cXuCrR2dJaBfxs1DL3TU7viIENH1z3OGtgbQHTcvnDoGbh4WL9wrLz2wsHYeOQUhvbLwPmDz8DQfhloDwTR0BbAOQN7IxDqzAt/IISapnb0y+wVfk8hxtDsDyAzLRUhxrD5aG24XALAeYP7YEz2QIQY0NjWgWCI4Yz0NGT2SkGKz4e2QGfsZABGDj4D6WkpOFHXiub2APpl9kJaig/twRDqWzqw4XANrr1wMLIH9UF7IIhNxbWoaOjcSuR7lwzFgN69kOLzIRBiaA8E0btXKj7ecQIjBvZGis+H0toWXH/REFx5zgDcOeE89EoVN8FWlxgZMmQIUlNTUVlZGXW8srISw4cPV7xm+PDhus4HgIyMDGRkZOgxzRB3jD8PAPD4jy+3PC1CH8/fdpVl937hduXjT/10tGVpepcrRBsQZu5/WedTVjFPtAEO49lJoi2QH1nLgS4ZlJ6ejrFjxyIvLy98LBQKIS8vDxMmTFC8ZsKECVHnA8DKlStVzycIgiAIwlvo7qaZMWMGpkyZgnHjxuGaa67B3Llz0dzcjKlTpwIAJk+ejBEjRiA3NxcAMH36dHznO9/BM888g5tvvhmLFy/G1q1b8corr/B9EoIgCIIgHIluMTJp0iRUV1dj1qxZqKiowJgxY7B8+fLwINXS0lKkpPQ0uFx77bV455138Oijj+KPf/wjLr74YixduhSXX05dIwRBEARBGFhnRARWrTNCEARBEIR1WLLOCEEQBEEQBG9IjBAEQRAEIRQSIwRBEARBCIXECEEQBEEQQiExQhAEQRCEUEiMEARBEAQhFBIjBEEQBEEIhcQIQRAEQRBCITFCEARBEIRQdC8HL4LuRWIbGhoEW0IQBEEQhFa66+1ki707Qow0NjYCALKzswVbQhAEQRCEXhobGzFgwADV3x2xN00oFMKJEyfQr18/+Hw+bvdtaGhAdnY2ysrKaM8byaC8kRfKG3mhvJEXr+YNYwyNjY04++yzozbRjcURLSMpKSk455xzLLt///79PeUcToLyRl4ob+SF8kZevJg3iVpEuqEBrARBEARBCIXECEEQBEEQQvG0GMnIyMDs2bORkZEh2hQiBsobeaG8kRfKG3mhvEmMIwawEgRBEAThXjzdMkIQBEEQhHhIjBAEQRAEIRQSIwRBEARBCIXECEEQBEEQQvG0GJk3bx5GjhyJzMxMjB8/HgUFBaJNchW5ubn41re+hX79+mHYsGG49dZbceDAgahz2tracN9992Hw4MHo27cv/vM//xOVlZVR55SWluLmm29Gnz59MGzYMPzhD39AIBCIOmfNmjW4+uqrkZGRgYsuugiLFi2y+vFcw5w5c+Dz+XD//feHj1G+iKW8vBy/+MUvMHjwYPTu3RtXXHEFtm7dGv6dMYZZs2bhrLPOQu/evZGTk4NDhw5F3aO2thZ33HEH+vfvj4EDB+LXv/41mpqaos7ZuXMnbrjhBmRmZiI7OxtPPfWULc/nVILBIB577DGcf/756N27Ny688EL85S9/idp3hfLGIMyjLF68mKWnp7OFCxeyPXv2sLvvvpsNHDiQVVZWijbNNUycOJG9/vrrbPfu3ayoqIj98Ic/ZOeeey5ramoKn3Pvvfey7OxslpeXx7Zu3cq+/e1vs2uvvTb8eyAQYJdffjnLyclh27dvZ8uWLWNDhgxhM2fODJ9TXFzM+vTpw2bMmMH27t3Lnn/+eZaamsqWL19u6/M6kYKCAjZy5Eh25ZVXsunTp4ePU76Io7a2lp133nnsl7/8Jdu8eTMrLi5mK1asYIcPHw6fM2fOHDZgwAC2dOlStmPHDvajH/2InX/++ay1tTV8zr//+7+z0aNHs02bNrH169eziy66iN12223h3+vr61lWVha744472O7du9m7777LevfuzV5++WVbn9dJPPHEE2zw4MHss88+Y0ePHmXvv/8+69u3L/v73/8ePofyxhieFSPXXHMNu++++8L/DgaD7Oyzz2a5ubkCrXI3VVVVDABbu3YtY4yxuro61qtXL/b++++Hz9m3bx8DwPLz8xljjC1btoylpKSwioqK8DkvvfQS69+/P2tvb2eMMfbggw+yyy67LCqtSZMmsYkTJ1r9SI6msbGRXXzxxWzlypXsO9/5TliMUL6I5aGHHmLXX3+96u+hUIgNHz6cPf300+FjdXV1LCMjg7377ruMMcb27t3LALAtW7aEz/niiy+Yz+dj5eXljDHGXnzxRTZo0KBwfnWnfckll/B+JNdw8803s1/96ldRx/7jP/6D3XHHHYwxyhszeLKbxu/3o7CwEDk5OeFjKSkpyMnJQX5+vkDL3E19fT0A4MwzzwQAFBYWoqOjIyofRo0ahXPPPTecD/n5+bjiiiuQlZUVPmfixIloaGjAnj17wudE3qP7HMrLxNx33324+eab494d5YtYPvnkE4wbNw4/+9nPMGzYMFx11VVYsGBB+PejR4+ioqIi6t0OGDAA48ePj8qfgQMHYty4ceFzcnJykJKSgs2bN4fP+X//7/8hPT09fM7EiRNx4MABnD592urHdCTXXnst8vLycPDgQQDAjh07sGHDBtx0000AKG/M4IiN8nhTU1ODYDAYFUgBICsrC/v37xdklbsJhUK4//77cd111+Hyyy8HAFRUVCA9PR0DBw6MOjcrKwsVFRXhc5Tyqfu3ROc0NDSgtbUVvXv3tuKRHM3ixYuxbds2bNmyJe43yhexFBcX46WXXsKMGTPwxz/+EVu2bMH//M//ID09HVOmTAm/X6V3G/nuhw0bFvV7WloazjzzzKhzzj///Lh7dP82aNAgS57PyTz88MNoaGjAqFGjkJqaimAwiCeeeAJ33HEHAFDemMCTYoSwn/vuuw+7d+/Ghg0bRJviecrKyjB9+nSsXLkSmZmZos0hYgiFQhg3bhyefPJJAMBVV12F3bt3Y/78+ZgyZYpg67zNe++9h7fffhvvvPMOLrvsMhQVFeH+++/H2WefTXljEk920wwZMgSpqalxswMqKysxfPhwQVa5l2nTpuGzzz7D6tWrcc4554SPDx8+HH6/H3V1dVHnR+bD8OHDFfOp+7dE5/Tv35++vhUoLCxEVVUVrr76aqSlpSEtLQ1r167FP/7xD6SlpSErK4vyRSBnnXUWLr300qhj3/zmN1FaWgqg5/0mil/Dhw9HVVVV1O+BQAC1tbW68pCI5g9/+AMefvhh/Nd//ReuuOIK3HnnnXjggQeQm5sLgPLGDJ4UI+np6Rg7dizy8vLCx0KhEPLy8jBhwgSBlrkLxhimTZuGjz76CF999VVcs+PYsWPRq1evqHw4cOAASktLw/kwYcIE7Nq1K6rwrly5Ev379w8H7AkTJkTdo/scyktlvv/972PXrl0oKioK/xk3bhzuuOOO8N8pX8Rx3XXXxU2BP3jwIM477zwAwPnnn4/hw4dHvduGhgZs3rw5Kn/q6upQWFgYPuerr75CKBTC+PHjw+esW7cOHR0d4XNWrlyJSy65xJXdADxoaWlBSkp0tZmamopQKASA8sYUokfQimLx4sUsIyODLVq0iO3du5f95je/YQMHDoyaHUCY47e//S0bMGAAW7NmDTt58mT4T0tLS/ice++9l5177rnsq6++Ylu3bmUTJkxgEyZMCP/ePYX0xhtvZEVFRWz58uVs6NChilNI//CHP7B9+/axefPm0RRSnUTOpmGM8kUkBQUFLC0tjT3xxBPs0KFD7O2332Z9+vRhb731VvicOXPmsIEDB7KPP/6Y7dy5k/34xz9WnD561VVXsc2bN7MNGzawiy++OGr6aF1dHcvKymJ33nkn2717N1u8eDHr06ePq6ePmmXKlClsxIgR4am9H374IRsyZAh78MEHw+dQ3hjDs2KEMcaef/55du6557L09HR2zTXXsE2bNok2yVUAUPzz+uuvh89pbW1lv/vd79igQYNYnz592E9+8hN28uTJqPuUlJSwm266ifXu3ZsNGTKE/e///i/r6OiIOmf16tVszJgxLD09nV1wwQVRaRDJiRUjlC9i+fTTT9nll1/OMjIy2KhRo9grr7wS9XsoFGKPPfYYy8rKYhkZGez73/8+O3DgQNQ5p06dYrfddhvr27cv69+/P5s6dSprbGyMOmfHjh3s+uuvZxkZGWzEiBFszpw5lj+bk2loaGDTp09n5557LsvMzGQXXHABe+SRR6Km4FLeGMPHWMTScQRBEARBEDbjyTEjBEEQBEHIA4kRgiAIgiCEQmKEIAiCIAihkBghCIIgCEIoJEYIgiAIghAKiRGCIAiCIIRCYoQgCIIgCKGQGCEIgiAIQigkRgiCIAiCEAqJEYIgCIIghEJihCAIgiAIoZAYIQiCIAhCKP8/byU4R1iFPPcAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(weather_scaled_df['dni'].values)\n", - "plt.show()\n", - "plt.plot(weather_scaled_df['wind_speed'].values)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
COAST
00.140170
10.135858
20.130485
30.128788
40.133821
......
87550.239524
87560.219831
87570.200798
87580.179219
87590.157870
\n", - "

8760 rows × 1 columns

\n", - "
" - ], - "text/plain": [ - " COAST\n", - "0 0.140170\n", - "1 0.135858\n", - "2 0.130485\n", - "3 0.128788\n", - "4 0.133821\n", - "... ...\n", - "8755 0.239524\n", - "8756 0.219831\n", - "8757 0.200798\n", - "8758 0.179219\n", - "8759 0.157870\n", - "\n", - "[8760 rows x 1 columns]" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "demand_scaled_df" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "uncertainty_set = BoxSet(bounds= [(0,1), (0,1), (0,1)])" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "uncertainty_set" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "uncertain_parameters = []" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/chance/chance_copy_3.ipynb b/examples/chance/chance_copy_3.ipynb deleted file mode 100644 index d486dfd2..00000000 --- a/examples/chance/chance_copy_3.ipynb +++ /dev/null @@ -1,1381 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Chance constraints" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario, plot_fit\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.math_utils import min_max, norm_constant\n", - "from energiapy.fitting.dist import fit\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "import pyomo.environ as pyo\n", - "import scipy\n", - "from pyomo.environ import Constraint\n", - "from energiapy.utils.scale_utils import scale_list\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.model.constraints.chance import chance_normal\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "\n", - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')\n", - "\n", - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "demand_df = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_df = remove_outliers(demand_df)\n", - "demand_array = demand_df.to_numpy()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_houston[-8760:]\n", - "wind_houston = wind_houston[-8760:]\n", - "ercot = ercot[-8760:]" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[distfit] >INFO> fit\n", - "[distfit] >INFO> transform\n", - "[distfit] >INFO> [norm ] [0.00 sec] [RSS: 10.2737] [loc=0.341 scale=0.214]\n", - "[distfit] >INFO> [expon ] [0.00 sec] [RSS: 19.3885] [loc=0.000 scale=0.341]\n", - "[distfit] >INFO> [pareto ] [0.00 sec] [RSS: 19.3885] [loc=-67108864.000 scale=67108864.000]\n", - "[distfit] >INFO> [dweibull ] [0.10 sec] [RSS: 7.52412] [loc=0.311 scale=0.179]\n", - "[distfit] >INFO> [t ] [0.95 sec] [RSS: 10.2736] [loc=0.341 scale=0.214]\n", - "[distfit] >INFO> [genextreme] [0.21 sec] [RSS: 1.85686] [loc=0.235 scale=0.153]\n", - "[distfit] >INFO> [gamma ] [0.07 sec] [RSS: 2.23979] [loc=-0.008 scale=0.138]\n", - "[distfit] >INFO> [lognorm ] [0.11 sec] [RSS: 1.81404] [loc=-0.093 scale=0.385]\n", - "[distfit] >INFO> [beta ] [0.28 sec] [RSS: 3.13133] [loc=-0.001 scale=1.718]\n", - "[distfit] >INFO> [uniform ] [0.00 sec] [RSS: 22.464] [loc=0.000 scale=1.000]\n", - "[distfit] >INFO> [loggamma ] [0.11 sec] [RSS: 10.3374] [loc=-61.690 scale=8.498]\n", - "[distfit] >INFO> Compute confidence intervals [parametric]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The best fitting distribution is {'name': 'lognorm', 'score': 1.8140374724450319, 'loc': -0.09318737657114787, 'scale': 0.3850048538041255, 'arg': (0.4957491930759643,), 'params': (0.4957491930759643, -0.09318737657114787, 0.3850048538041255), 'model': , 'bootstrap_score': 0, 'bootstrap_pass': None, 'color': '#e41a1c', 'CII_min_alpha': 0.07715682125258727, 'CII_max_alpha': 0.7769845420880174}\n" - ] - } - ], - "source": [ - "data = demand_array\n", - "data = min_max(data)\n", - "fit_summary = fit(data)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "mean = fit_summary.loc['norm']['loc']\n", - "sd = fit_summary.loc['norm']['scale']" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "mu = mean # mean of the normal distribution\n", - "sigma = sd # standard deviation of the normal distribution\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_fit.histogram(data = demand_df)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_fit.distribution(fit_summary= fit_summary, fit_type= 'norm')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 8760])" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "compliance_list = [0.1*(i + 1) for i in range(9)] + [0.95, 0.99]" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[0.1,\n", - " 0.2,\n", - " 0.30000000000000004,\n", - " 0.4,\n", - " 0.5,\n", - " 0.6000000000000001,\n", - " 0.7000000000000001,\n", - " 0.8,\n", - " 0.9,\n", - " 0.95,\n", - " 0.99]" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "compliance_list" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "def model(demand, alpha, compliance_list):\n", - " Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - " Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - " Power = Resource(name='Power', basis='MW', demand = True, label='Power generated')\n", - "\n", - " LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - " WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=bigM, label='Wind mill array', basis = 'MW')\n", - "\n", - " PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=bigM, label = 'Solar PV', basis = 'MW')\n", - "\n", - " houston = Location(name='HO', processes= {WF, PV}, capacity_factor = {PV:solar_houston, WF:wind_houston}, demand_factor = {Power: ercot}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level= 1)\n", - "\n", - " scenario = Scenario(name= 'scenario_full', network= houston, scales= scales, expenditure_scale_level= 0, scheduling_scale_level= 1, \n", - " network_scale_level= 0, demand_scale_level= 1, capacity_scale_level = 1, label= 'full_case', demand = {houston: {Power: 150}})\n", - "\n", - "\n", - "\n", - " lp = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, \n", - " objective=Objective.COST)\n", - "\n", - " # print(scenario.demand_factor)\n", - "\n", - " lp.chance_demand = chance_normal(instance = lp, a = 'S', b = demand, b_factor = scenario.demand_factor['HO']['Power'], mean = mu, sd= sigma, compliance_list = compliance_list, alpha = alpha, sign = 'geq')\n", - "\n", - " return lp, scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n" - ] - } - ], - "source": [ - "lps = {i: model(200, i, compliance_list) for i in compliance_list}" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_scenario.demand_factor(scenario = lps[0.9][1], resource= Power, location= list(lps[0.9][1].location_set)[0])" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0x8ac4d482\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - "Barrier performed 0 iterations in 0.16 seconds (0.10 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 8.9822298e+08 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.23 seconds (0.14 work units)\n", - "Optimal objective 8.982229761e+08\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0xf7cb8d33\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [2e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47962936e+14 -5.54799551e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - "\n", - "Barrier performed 0 iterations in 0.16 seconds (0.10 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.1041882e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.22 seconds (0.14 work units)\n", - "Optimal objective 1.104188171e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0x4992d63d\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [2e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47963702e+14 -5.54799463e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - " 1 2.02886083e+14 -2.52953669e+14 0.00e+00 8.15e-07 7.43e+09 0s\n", - "\n", - "Barrier performed 1 iterations in 0.17 seconds (0.11 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.2952238e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.24 seconds (0.14 work units)\n", - "Optimal objective 1.295223842e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0x48df6189\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [2e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47964387e+14 -5.54799384e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - " 1 2.02886688e+14 -2.52952920e+14 0.00e+00 2.67e-06 7.43e+09 0s\n", - "\n", - "Barrier performed 1 iterations in 0.18 seconds (0.11 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.4661356e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.25 seconds (0.14 work units)\n", - "Optimal objective 1.466135580e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0x50854830\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [2e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.11s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47964980e+14 -5.54799315e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - " 1 2.02887211e+14 -2.52952273e+14 0.00e+00 2.28e-06 7.43e+09 0s\n", - "\n", - "Barrier performed 1 iterations in 0.17 seconds (0.11 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.6139247e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.24 seconds (0.14 work units)\n", - "Optimal objective 1.613924695e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0x422733ea\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [2e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47965477e+14 -5.54799258e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - " 1 2.02887649e+14 -2.52951731e+14 0.00e+00 8.74e-07 7.43e+09 0s\n", - "\n", - "Barrier performed 1 iterations in 0.16 seconds (0.11 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.7378154e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.24 seconds (0.14 work units)\n", - "Optimal objective 1.737815408e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0x62d9c2c9\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47965883e+14 -5.54799211e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - " 1 2.02888007e+14 -2.52951288e+14 0.00e+00 1.49e-07 7.43e+09 0s\n", - "\n", - "Barrier performed 1 iterations in 0.15 seconds (0.11 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.8389522e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.21 seconds (0.14 work units)\n", - "Optimal objective 1.838952189e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0xee7a4526\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47966207e+14 -5.54799174e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - " 1 2.02888293e+14 -2.52950933e+14 0.00e+00 2.04e-10 7.43e+09 0s\n", - "\n", - "Barrier performed 1 iterations in 0.16 seconds (0.11 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.9198949e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.22 seconds (0.14 work units)\n", - "Optimal objective 1.919894895e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0x8c98afd7\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47966464e+14 -5.54799144e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - "\n", - "Barrier performed 0 iterations in 0.16 seconds (0.10 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 1.9840513e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.22 seconds (0.14 work units)\n", - "Optimal objective 1.984051332e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0xb41b2baf\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47966573e+14 -5.54799132e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - "\n", - "Barrier performed 0 iterations in 0.16 seconds (0.10 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 2.0110017e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.24 seconds (0.14 work units)\n", - "Optimal objective 2.011001747e+09\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 105154 rows, 87635 columns and 236579 nonzeros\n", - "Model fingerprint: 0xba632995\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e+01, 1e+06]\n", - "Presolve removed 78874 rows and 70113 columns\n", - "Presolve time: 0.11s\n", - "Presolved: 26280 rows, 17522 columns, 52560 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 2\n", - " AA' NZ : 3.504e+04\n", - " Factor NZ : 1.051e+05 (roughly 20 MB of memory)\n", - " Factor Ops : 4.380e+05 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.47966651e+14 -5.54799123e+15 0.00e+00 0.00e+00 1.64e+11 0s\n", - " 1 2.02888685e+14 -2.52950449e+14 0.00e+00 2.17e-06 7.43e+09 0s\n", - "\n", - "Barrier performed 1 iterations in 0.17 seconds (0.11 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8783 2.0305290e+09 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 8783 iterations and 0.24 seconds (0.14 work units)\n", - "Optimal objective 2.030528979e+09\n" - ] - } - ], - "source": [ - "results = {i: solve(scenario = lps[i][1], instance= lps[i][0], solver= 'gurobi', name= 'results', print_solversteps = True) for i in compliance_list}" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "obj = [i.output['objective'] for i in results.values()]" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2MAAALxCAYAAADR6H71AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAADFzUlEQVR4nOzdd3hTZRsG8Dvp3nvRltJBgbJXAQHZGxQEBKQCAg4UlaEoimL1QxwIyBBFUKYIslGGIHuWPcruoIzuvUfyfn/UxpbuNO1J2vt3Xb2u5swnT5M2d88575EJIQSIiIiIiIioRsmlLoCIiIiIiKguYhgjIiIiIiKSAMMYERERERGRBBjGiIiIiIiIJMAwRkREREREJAGGMSIiIiIiIgkwjBEREREREUmAYYyIiIiIiEgCDGNEREREREQSYBgjIo3JysrCmjVrMHz4cPj4+MDc3BzGxsaoV68eevTogZkzZ2L//v3IzMwstu6ECRMgk8mKfBHVJXPmzIGFhQU+/fRTqUtRS0BAgOTv4cWLFxer4ejRo2ptKzExEe3atYOrqyvOnz+v2UJr0O7du2Fra4sBAwYgNzdX6nKI6CkyIYSQuggi0n27du3Cu+++iwcPHqBdu3YYOHAg3N3dkZeXh7CwMOzduxc3btwAAFhYWGDEiBH48ssv4ezsDAA4c+YMQkJCcOLECaxcuRIAwF9PpGmfffYZAGDo0KFo1aqVpLU8zdzcHOnp6TA3N0dqaqrU5VTa6dOnERoaKul7+Pbt27hw4QLi4uIwffp0AMCRI0fQvXv3Sm9r69atGDlyJABg6tSpWLp0qSZLrZKkpCQsXrwYQP4/sho0aFDqsoMHD8Zff/0FALhw4QLatm1bAxUSUYUJIqIqWrhwoZDJZMLCwkJs3bq11OXWrVsnjIyMBAABQBw5cqTYMr/++qtqPpGmFby2fv31V6lLKWb27NnCzMxMfPjhh1KXUiXa8B4OCwsr8/dMRcTHx4vWrVsLJycncfr0ac0WWEWVeX47duwQNjY2onfv3iI7O7tmCiSiCtOXJgISUW2xdetWzJgxAzKZDH/88Qf69etX6rIvv/wylEolJkyYUHMFEumIL7/8El9++aXUZdC/bG1tcenSJanLqLKhQ4di6NChUpdBRKXgNWNEpLbY2Fi8+uqrAIBRo0aVGcQKjB8/Hm3atKnu0oiIiIi0HsMYEalt6dKlSEpKAgC8/fbbFV4vICCgmioiIiIi0h0MY0SktlWrVgEA7O3t0bFjxwqvN3r0aPz6669o3LhxucteunQJL7zwAhwdHWFsbIymTZtiwYIFUCqVpa4TFxeHpUuXYtCgQXB1dYWhoSEsLS3Rpk0bfPrpp4iPjy9xvc8++6zYSGzh4eEICQnB+PHjUa9ePRgZGcHHxwcff/xxiaNCPi04OBivvvoqvL29YWJiAjMzMzRq1AgBAQH4/fffkZ2dXeq6ly9fxvjx4+Hh4QEjIyPY2NigQ4cOmDdvHlJSUsrdd3ni4+MxZ84ctGrVCpaWljAyMkL9+vUxZMgQLFu2DDExMaWuGxcXh48//hgtW7aEpaUlzMzM0LhxY9UgLiVp0KBBkd4WDKqwbds2dOnSBVZWVrCwsECXLl2wZ8+eMmt//Pgxpk2bhiZNmsDU1BTGxsbw8fHB2LFj8fvvvyMrK0u1bHh4eLHR/V555ZUitRQMgHD06NFir4E1a9YgKysL//vf/9C8eXOYm5ur5hUMCAIADx8+xNdff41evXrByckJBgYGsLGxQadOnbBgwQJkZGSU+FwqMpLo0/MLTvVduXIl2rZtC3Nzc1hbW6Nv3744ffp0mb0DgOzsbCxevBidOnWCjY0NjI2NUb9+fYwZMwbHjx8vd/3Dhw9j4MCBsLOzg5mZGfz8/PDpp58iPT293HUr49SpU3jppZfg7u4OIyMj2Nvbo1u3bvjhhx8qNTJgbGwspk2bpnofOjo6YuTIkbh8+XKxZZOSkkrtd0mq2svKvA8LXp+enp6qaT169CjxfbVmzZoyR5Z8+v1Y0msaKP7aK/i9qMkeENVpUl+0RkS66fbt26oLyHv06KGx7Ra++P/gwYPC3d1dzJkzR6xevVq89957wsTERAAQU6dOLXUb1tbWAoCwt7cXH3zwgVi5cqX47LPPRKtWrQQA4ebmJm7dulVsvatXr4r169eLjz76SFXDrl27hJubm5g5c6ZYvXq1+OSTT4SNjY0AIAYPHlzmc1m4cKHQ09MT+vr64pVXXhE//fST+Pbbb8XQoUNV23dwcBBpaWnF1p0/f76Qy+XC1NRUvPPOO2LVqlViwYIFwt/fX/Ucrl27VvkG/+vo0aOq59G7d2+xZMkSsWzZMvHGG28IY2NjAUAYGRmJ48ePF1v3yJEjqnX79Okjli5dKlasWCFGjBghAAhjY2OxefPmYuvt2LFDrF+/XnTt2lUAEN26dRNffPGFaNq0qViwYIH4+eefxYsvvigACJlMJrZs2VJi7VeuXBE2NjZCT09PjBo1SixevFisWLFCTJkyRfX6aNq0qWr5tLQ0sX79erF+/XpV31977TXVtPXr14sdO3YIIYSIiooqtuzy5ctF+/btRc+ePcWSJUvEkiVLhJ+fnwAg5s6dK4QQIiEhQcjlcgFAeHh4iLlz54qVK1eKjz/+WHh7e6tqioqKKvZ8Tp8+LdavXy9ee+21Uge+KKipcePGAoAYP368mDRpkujUqZNYsmSJWLFihejbt68AIAwNDcWpU6dK/dk/ePBAtZ0OHTqIhQsXip9//llMnTpVmJqaCgDi3XffFUqlssT1v/nmG1Wdw4cPFz/++KP4/vvvRffu3UXz5s3FkiVLqjyAh1KpFNOnTxcAVO+Bn3/+WcyfP180adJEABDNmzcXjx49KnH9wgNcrF+/Xri5uYnnn39e/PDDD2Lp0qWiZ8+eAoDQ19cXmzZtKrJuTk5Oif2ujl5W9n1Y8PpctGiR6vl99NFHRV7Lf//9txBCiJCQkGLLFh7sY8eOHeLLL79UzZs4caJYv369uHr1apEa169fL1asWCEAiBdffFGsX7++yO+sqvaAqK5jGKtmp06dEr6+vgKACAsLk7ocIo3ZuHFjkQ+2mlI4jDVt2lSEhoYWmb9hwwYBQMjl8lLfU2ZmZsLV1bXYB9+8vDzxyiuvCACiRYsWpX44OHLkiKoGDw8Pcfbs2SLzjx07ppp/7NixMp+Hvr6+OHDgQLH5W7duVW0jMTGxyLxVq1YJAMLMzExcuXKlyDylUilefvllVW1JSUkl7r8swcHBqg9Jn3zySbH5d+7cEXZ2dgKAKqQUuHnzpmrdOXPmFFu3oHa5XC4OHz5c4v7Hjx8vAAgnJyfRsWNHkZmZWWR+wc/Iy8urxPU7duwoAIgFCxYUm3ft2jVhYmIiPDw8Sly3oOcVGU2xYFlXV1fx/vvvF5kXEREhZDKZKozFxsaqXlfp6elFls3MzBT9+vUrN8BXZBTCbt26CQDCxcVFDB06VCgUCtU8pVKpChml/YMkPT1dNGrUSAAQ48aNK/YeuHr1qurnu2jRomLr79u3T1VjSfPfffdd4eDgUOUwNnfuXAFAmJubF3sPZGVlid69ewsAws/PT2RkZBRbv3AYc3BwKLHWt956SwAQBgYGpf5jo6DfJYWxqvayKu/DyoymWNaySqVSeHp6CgBi0KBBpW6j4LV5/fp1jfaAiBjGqk1GRoaYMWOG0NPTU/0SrI4wlp6eLr7++mvRvn17YWFhIYyNjUXjxo3F7NmzRXJyssb3R1Tg+++/V72233vvPY1tt/AH0s8++6zY/OzsbNV/jFesWFHiNszMzMTXX39d4ryUlBTV+ocOHSpxmcJhbNy4cSUu06BBAwFAfPDBB8XmJSUlCUtLSwFATJo0qbSnKvr3718sjCUlJQkLCwsBQHz66aclrpeQkKB6DvPmzSt1+6Up+IDp6+tb5MN8YV999VWJHwK7d+8uAAgfHx+Rl5dX5vZ9fHxK3H5BGANQYmA7evSoav7TRzCTkpJU857+YFhg7NixGg1jLi4uJQ4J/vbbb6v6UxDGSjoiKIQQd+/eVW3v3r17JS5TmTAGQISEhBSbv2bNGlUYfjoUCiHEJ598IgAICwuLUoP8rFmzBABhbW1dbBsFR6WaNm1a4j8zMjIyqhzG7t+/r/rbWdLvgIJlCo5EBgYGFptfOICU9o+XtLQ0YWtrKwCIAQMGlLifssJYVXtZlfehpsKYEP8FX319/RKP3AqR/75v06ZNselV7QERCcFrxqpBSEgIWrVqhW3btmHfvn3Vtp/o6Gj4+/vjww8/RJ8+fXD27FncuHEDb7zxBhYtWoQ2bdrgyZMn1bZ/qtsK35TWxMSkWvYxaNCgYtMMDQ1V10vcu3evxPVu3rxZ6oAiFhYW8PX1BQCcOHGi3BqGDBlS4vQmTZqUWsOGDRtU13S99NJLpW57+PDhsLOzg1z+36/iDRs2qHo7atSoEtezsbGBv78/AGDTpk3lPofCgoODcezYMdX2C++7sOeeew52dnYwMjJSTbt586bqmpNRo0ZBT0+vxHXHjh0LALh//z4OHDhQai0WFhbo1q1bsekFvQWK97fwtYInT54scbuBgYHYuHFjqfutrCFDhsDQ0LDY9CVLlqiGDLe1tUVYWBiGDRtW4jYaNmwIKysrAKXXXRlNmzaFl5dXsekFvVMqlQgJCSkyTwiBn376CQDQv39/VT1P69+/P4D8a6cK/w0LCgrCrVu3AAAjR44s8do2ExOTEt+3lfHTTz9BoVAA+O+19DRvb2/Vdao//PBDmTeXHj58eIm1mpmZYfDgwQCAAwcOICoqqsI1VrWXVXkfatr48eMhk8mQl5eHDRs2FJsfHh6OY8eOYdy4cUWmV7UHRJSPYawaBAcHo1evXrhx4wb69OlTbfsZP348goOD8cYbb2DevHnw8/ODt7c33n33XXz11VcICQnh/Zyo2lhaWqq+r8hAFupo2LBhidOtra0BAMnJySXOr1+/viogCiGQkpKCuLg41Ze5uTkAVOjDlzo1HDlyRPV9WcP4T548GXFxcUV6WbCugYEB7O3ti9Rd+Mve3h5AfkAqbWCIklS0tiZNmiAuLg4DBgxQTTt8+LDq+7Zt25a6buF5hff3NG9v7xI/hBb0FijeXxsbG1XgePfddzFr1iyEhYUV227nzp1L3W9lFQ6HpZHL5WjQoAEMDAwA5Ieh5OTkIj+zgp9zZT70l6a81yVQvHfBwcGqwSB8fHxKfW2Zmpqq1jl//rzq+1OnTqm+b9WqVam1NW3atDJPpZiC15mVlRV8fHxKXa7gdRYdHa0KiZWtp+B5KJVKnD17tsI1VrWXVXkfapqnpyeeffZZAMDatWuLzV+3bh309fWL/WOpqj0gonwMY9Vg0KBB+OGHH1Qf+KpD4f84v/nmm8Xmv/baazA0NMTBgwdx7ty5aquD6i4HBwfV95oY2a8kFhYWJU4vOEqRl5dX4vzc3FwsXboUHTt2hImJCaysrODg4KD6KhhtrvCIe5qsoeCIhImJSZEPxxVRsG5ubi6cnJyK1F34a/v27QDyP0TGxsZWevsAUK9ePbVqAwBXV9dSlys87+mjM4WV11ug5P7+/PPPsLGxQU5ODr799lt4eXnB398f8+fPL3N/6ioclsuSlpaGefPmoVWrVjAyMoK1tXWRn9nDhw8BVOx1Vx51ele4N/Pnzy/1tVV4ZNTo6GjV94VH0HNxcSm1Nhsbmwo/j5IU1Fne67Oir7Oy3oOF91HaKKAlqWovq/I+rA7jx48HAFy/fr3Yja7XrVuH/v37F/mdD1S9B0SUT1/qAmqj0k7dKU9sbCy++uor7N69GxERETA1NUWrVq3w2muvYcyYMUWWvXLliur7kv5zaGJiAjc3N4SGhmLHjh3o0KGDWjURlabwf3Pv379fLfso7dSdsqSkpKBPnz4ICgqCmZkZpk6dijZt2sDR0VG1zMyZM3Ht2rVqqyEtLQ0AYGxsrPa65ubm2LFjR4XWKThKVpntA5Wvr6LrFp5XVlBXp7cA0LlzZ1y7dg2LFi3CmjVrkJCQgPPnz+P8+fP46KOPMHDgQCxZsgTe3t5qbV+dOh89eoQePXrg/v37sLOzw0cffYSmTZvC1tZWtUxAQIDGPoxW5XUJ5P8Tr7RTKgtzcnJSfV942Pqyfv7q/g0sUNH3T0VfZ2XVU3gbhftTnqr2sirvw+owcuRIvP3220hPT8fatWtVv99PnjyJkJAQfP3118XWqWoPiCgfw5iWuH37Nnr37o2kpCR888036NWrF2JiYvDtt9/ipZdewvHjx7FixQrV8gXn08tkslL/KBecGlA4uBFpiq+vL1xdXfH48WNcu3YNQogSr8uoaXPnzkVQUBD09PRw+PBh1bVVhVX1P/flKThqoc4RkIJ1c3Nz0bt3b43WVXj7QOXrq+i6heeVdh1JVbm5ueG7777DV199hb///hubNm3C9u3bkZmZib179yIoKAg3btyosQ9/b7/9Nu7fvw9zc3NcuHBBdd+ywqT+0F345+fu7l7p11fhsz3K+vkX/H1Sl4WFBRITE8t9fVb0dVZWPYW3UZmzWaray6q8D6uDubk5XnjhBaxfvx6//fYbFixYAAMDA6xduxY2NjYlXjtb1R4QUT6epqgFFAoFRowYgcePH2P16tV488030ahRI3Tt2hW7du1CmzZt8OOPP2Lbtm2qdQr+4yuEKPHUCiEEIiIiAACRkZE180Soznn99dcB5N8AuDLXW3z22WcYOnQoFi5cqPGa/vjjDwBAhw4dSgxiNaHgaHVmZiaSkpLUWjc7O7vMmy6rq/CR9MoO8FPRdR8/fqz6XlNHp0pjYGCAQYMGYcOGDYiIiFAN+BAXF1ctr6+SZGVl4c8//wSQP+BCSUFMGxT++RX8faiMws+rrL8riYmJld52YQV1lvf6rOjrrKz3YOF9FL6Rcnmq2suqvA+rS8E15nFxcfjrr7+QmZmJLVu2YNSoUSUOYFPVHhBRPoYxLbBz504EBwfD1dUVL774YpF5MplM9YF32bJlqult2rRR/SJcs2ZNsW3u2LFDddpG4VNLiDTpnXfegZ2dHYCir8+yREZG4quvvsKuXbtKHA2uqgoCTFnXNFXmdCR19OjRQ/X9xYsXS11u06ZNGDFiRJERBwuvW9b1nk+ePIGRkRFatGhRLbVdu3YNI0aMKBJoKrpu4WtOCq+jCUlJSZgzZw7u3r1bbJ69vT1+/fVX1TU4N27c0Oi+S5OQkKC6PkvK1115mjRpAmdnZwBlv7aA/NPO9PX1sXXrVtW0Ll26qL6/fPlyqevevHmzSnUWvGaSk5PLvBas4HXm7OyMxo0bq1VPwfOQy+VFrm0qT1V7WZX3IYBqOQuhR48e8PDwAJA/kMfOnTuRkpKiup7saVXtARHlYxjTAn///TeA/IBV0i/Ygg+sZ8+eVZ1uIZfLsWrVKhgZGWHhwoX49ddfkZ2djYyMDOzatQtvvPEG3NzcAOQP30tUHaysrLBx40bI5XJs2rQJhw4dKnedmTNnIjs7G506dcLzzz+v8ZoKBhYo6cM6kH+06vbt2xrfb2Fjx45VnTb122+/lbrcN998g+3btxf5j3zhdUv6R0uBX3/9FTk5OaUOf1+aJk2aqD4Ibt68udRTuH799Vds27atyOAVFV234Dn7+Pigb9++laqvPElJSZg3bx4OHjxY4vyCUSiBkgduKDh9Ozc3VzXt+PHjaNy4MVauXKlWTXZ2dqojB6W97iIiIhAfH6/W9jVFJpNhypQpAPKDTGnXTaakpGDz5s2wsLBQDUsOAO3atYOfnx8AYOvWrSUOJ5+VlYW//vqrSnW+/vrrquu8Snv/hIWFqY7Gv/nmm2WGk4LBbp6Wnp6uqnXAgAFFristT1V7WZX3IYAiIxQWfi1v2rQJjRs3VutnIJPJ8PLLLwMA/vrrLyxevBi+vr6lhtSq9oCI/iXZHc7qEJRz0+eCG7/q6+sLMzOzYl8mJiaqbcTExBRZ9+LFi6Jfv37CwMBAyOVyIZfLhY+Pj1i9erX47LPPBADRq1evGniWVJf9+OOPQk9PT1haWha7OWmBzMxMMWXKFAFAODs7iwcPHpS4XGVufFvSjVinT5+uWv+3334rMk+pVIqpU6eq5pe0vhBFb/pc2vu24MbF3bp1K3F+wc139fX1xcGDB4vN//bbbwUAMXr06FLXBSDWrVtXbP6pU6eEkZGRcHd3L/VGq2W5efOmMDU1FQDE3LlzS9y+gYGB8PT0FBkZGZVat+DnJ5fLS70ZbXm9E6L0mzMX3MDWy8uryM2yC5w/f17o6+uXeKNcIYRo2bKlACDmzJmjmvb111+X+HoprYaSDBs2TAAQenp64vjx40Xm5eTkiKFDh6q2V1LfhKj6a1+I8m/wm5GRobpxc9u2bYu9frKzs8Xw4cMFALFw4cJi6+/bt0+1/UWLFhWbP2PGDFX/q/IRo+Dvl4WFhbh69WqxGvv27SsACD8/v2KvUSGK9kFfX18sWbKk2DJvvfWWACAMDAxKvYF4Wf2uai+r8j5UKpXC2tpaABCrVq1STS/4HXv69OkSe1HeDaLv3bunWhaA+N///lfm8lXtAREJwQE8tMiwYcPw5ZdflrnM0wMPtGnTBvv370dWVhZiYmJgZmamOm3srbfeAoBKn8ZEVFmvv/46PDw88MYbb2DYsGFo3749Bg4cCDc3NygUCgQHB2Pr1q2IjIxEhw4d8Pvvv6N+/fpFtnHt2jVcu3YNZ86cUU0ruAHpsGHDYGZmhoMHDyI6Olo1Il1oaCg2bNgAc3Nz1c13586di8OHD+Pq1asYO3Ysdu/ejc6dOyMjIwN79uzB1atX4ezsjKioKNX6Tk5O6NOnD0JDQ3H69Oki9yzauXMn7O3t0adPHzg5OeHMmTMICQlBaGgogPyhmgvqDAgIUK03fvx4xMfHY9asWRgwYADGjRuHjh07Ijk5GQcPHsTff/+Ndu3aFRmYp6R1x40bh+3bt6N3795QKpU4f/48fvvtN9jb22P37t1qDZDRpEkT/PXXX3jhhRcQGBiIM2fOYMiQIZDJZLh48SLWr18Pa2trbN++vdgNvQvWHTZsmGrd5557Dvr6+jh8+DC2bNkCY2NjrFmzBt27dy+ybsHP7+neFf75PX3T2TNnzkBfXx/e3t7o1KkTDA0NYWRkhNDQUPj4+GD8+PFo2LAhFAoFrl+/jg0bNiAvLw9Tp05VbbOwl19+GVevXsWKFStUw+N/9dVXcHR0xKBBg5Cenl5sFMuCGgCoXgdPW7x4MS5cuICHDx+iV69emDBhAlq3bo2EhARs2bIFMTExsLCwQGpqKq5du4YNGzaonlPBa6qk1/4zzzwDLy8v7Ny5E2lpacVe+wWv3YK64+LiivT70aNHaNGihervgImJCf7++28MHDgQFy9eRNOmTfHKK6+gQYMGiIiIwO+//467d+/ijTfewLRp04o9z/79++Obb77BrFmzMH36dJw6dQq9e/dGTk4OduzYgVu3buHjjz9GYGBgkefRo0ePMk/hfNqnn36K5ORkLFq0CM888wwmTZqEFi1aIC4uDuvWrcPNmzfRrFkz7Nu3r8hr9Pbt27hw4UKRPsybNw8fffQRjhw5gr59+0KhUGD79u04fPgw9PX1sXbtWjRr1qzCtRWoai+r8j6UyWQICAjAsmXL8L///Q9ZWVmIjIzE6tWr4efnhw4dOqh+n5X0mih47T3Nx8cHnTt3xqlTp4ocKauuHhAReGSsJqCc/7C//vrrAoAYOnSoRvfbtWtXAUDs3btXo9slKk1WVpb4+eefxZAhQ4S7u7swMjISpqamwsfHR4wZM0bs2rVLKJXKEtedO3dukf/IFv4qeO8U/Jf66S8PD48i20pPTxeBgYGiWbNmwtjYWBgbG4uGDRuKN998U4SFhRXbTsERmsJHJp7+KviPcsFRnZK+SnLjxg0xadIk4enpKYyMjISZmZlo166dWLBggcjOzi6zn0+va2pqKlq2bCk+/vhjERcXV+GfS2liY2PFRx99JJo3by7MzMyEkZGR8PX1FdOmTRORkZGVWtfExET4+vqKt99+W4SHh5e4TkV+fqX1tvCRidjYWLF06VIxePBgUb9+fWFkZCQMDQ2Fm5ubGD58uDhw4ECpdSsUCvHFF18Ib29vYWBgIJydncWwYcPE3bt3hRBFjyKU9ToorSczZ84UDRs2FIaGhsLU1FQ0bdpUfPDBByI6Olp4eHiU+JzKek0VHJV7et2nX7tl1V3SUZecnByxfPly0bVrV2FjYyP09fWFs7OzeP7558W+fftKfY4F/vnnH9G/f39hY2MjjI2Nhbe3t3j77bdFdHR0ie+jPXv2lLvNkpw8eVKMGTNGuLq6CkNDQ2FjYyO6dOkili1bVuL7Z9GiRSX+zO7duycmTJgg3N3dhaGhobC3txfDhw8Xly5dKnP/5R2JFKLqvVT3fZiZmSmmT58u3NzchIGBgXB3dxfjx48XT548EUKU/fusrOfz888/CwCie/fu5dauqR4Q1WUyIUo46Zs0quBc9rCwsBJH2dq+fTuGDx8OV1dXPHz4sMRz319++WUoFIoi58/fuXMHcXFx6Ny5c7Hlo6Oj4ebmBjc3N9y/f7/K930hIiKqa7p3745jx45h/PjxZV7DSUSkLg7goQWef/55NGvWDI8fP8bmzZuLzT9x4gQ2bNiAZ555psj09evXY8CAAUhNTS22zgcffACFQoFly5YxiBEREakhMzMTgPT3iCOi2ovXjFWT2NjYYqMjxcbGqn6hFwwHCwB6enrYtm0bevfujUmTJuHJkycYPHgwlEolDh8+jE8++QRDhw5VjVpUWGpqKoYMGYLPP/8cHh4eePDgAZYuXYqdO3di+fLlGDRoUPU+USIiIh335ptvIikpqdjojQX3ANPWe8cRke7jaYrVpEGDBiXejLlASW2Pj4/Ht99+i507dyI8PBwWFhZo2LAhJk2ahHHjxsHAwKDI8kFBQVi5ciVOnz6Nx48fIzs7Gy4uLujZsyemTZuG5s2ba/x5ERER1TYTJkzAnj17EBYWphpG/vTp0+jcuTPkcjlu3ryJRo0aSVwlEdVGDGNERERUp02YMAFr165F69at8corryA1NRWLFy9GbGwsPvvsM8ydO1fqEomolmIYIyIiojotJCQES5cuxd9//42IiAjIZDK0atUK77zzDkaOHCl1eURUizGMERERERERSYADeGiIUqnEkydPYGFhUeLQ9EREREREVDcIIZCamop69epBLi99AHuGMQ158uQJ3N3dpS6DiIiIiIi0xMOHD+Hm5lbqfIYxDbGwsACQ3/CCkZikolQqERsbCwcHhzKTOBXH3qmPvVMfe1c17J/62Dv1sXfqY+/Up+29k7o+qfdfWEpKCtzd3VUZoTQMYxpScGqipaWlVoSxrKwsWFpaSv5C1DXsnfrYO/Wxd1XD/qmPvVMfe6c+9k592t47qeuTev8lKe/yJe2okoiIiIiIqI5hGCMiIiIiIpIAwxgREREREZEEGMaIiIiIiIgkwDBGREREREQkAYYxIiIiIiIiCTCMERERERERSYBhjIiIiIiISAIMY0RERERERBJgGCMiIiIiIpIAwxgREREREZEEGMaIiIiIiIgkwDBGREREREQkAYYxIiIiIiIiCTCMERERERERSYBhjIiIiIiISAIMY0RERERERBJgGCMiIiIiIpIAwxgREREREZEEGMaIiIiIiIgkoC91AURERERERFWhUAqcC01AbEw8HNL00cHLDnpymdRllYthjIiIiIiIdNb+G5EI3HMT0cmZaGIjcCsxDE5WJpg7xA/9m7lIXV6ZeJoiERERERHppP03IjFlwyVEJmcVmR6VnIUpGy5h/41IiSqrGIYxIiIiIiLSOQqlQOCemxD/PhaF5hV8H7jnJhRKAW3FMEZERERERDonKCyh2BGxwgSAyOQsBIUl1FxRlcQwRkREREREOiE5Mxe7rjzGg/h0xKQWDWKlHf96ejltwgE8iIiIiIhIaz1MyMDBm9E4dCsaQWEJyFMKTO/tC39P2yLLlTZ2oqOFcfUXqSaGMSIiIiIi0iqpWbn46VgoDt2Kxu2o1CLzGjqaw87cEP6etnCxMkZUchYEiocxGQBnK+NioU2bMIwREREREZGksnIVeJiQgYZOFgAAYwM9rD0TjtSsPOjJZWjfwAa9mzihdxMnNLA3U603d4gfpmy4VGIQK5ivzfcbYxgjIiIiIqIaF5uajSO3Y3DwVjRO3IuFg4URjr/fAzKZDAZ6cszo4wsbU0N0b+QAa1PDErfRv5kLVgS0Ud1nrICzlbFO3GeMYYyIiIiIiKpEoRQ4F5qA2Jh4OKTpo4OXXYlHpEJi03AgOAqHbkbj8sMkiEKjbigUAvHpObA3NwIAvNLZs0L77t/MBX38nHEuNB6xMdFwcHQqdf/ahmGMiIiIiIjUtv9GpOrIVBMbgVuJYXCyMsHcIX7o3cQJcpkM8n+D0a+nwrDhbIRq3eauVvmnH/o5ws/FEjKZegFKTy5DRy9bxJjnwdHRVrU/bccwRkREREREatl/IxJTNlyCwH/3zCq4v9cbGy7B1FAPayf6o32D/EE0+jd1wcOETPTxc0KvJo5wsTKRqnStoPX3GYuIiMAXX3yBzp07w8bGBgYGBnBycsLAgQOxdetWtbd7584dBAQEwMXFBcbGxvD29sb777+P5ORkDVZPRERERFQ7KZQCgXtuqu7vJQCEp8qK3O8rI0eBI7djVI+7NLTH2on+COjoUeeDGKDlYezYsWPw9vbGvHnz0LNnTxw8eBC3bt3C8uXLcf/+fYwcORIvvfQSlEplpbZ79OhRtG7dGhcuXMCaNWtw69YtzJkzBz/++CPatGmDyMjIanpGRERERES1Q1BYAiKT/7uhsoAM6XkyPD3IfGdv+xquTHdo9WmKiYmJyMvLw8KFC/H222+rpvv4+OCZZ55B48aNsWnTJvTo0QOvvvpqhbaZlJSEkSNHQgiBvXv3wsvLCwDg6ekJIyMjjB07FuPGjcPBgwer5TkREREREemqhPQcHAiOQq5CCSsTg6fmCjiZCMRkyiAKBbK49OyaLVKHaPWRMQDQ09PD+PHji02vV68ehgwZAgDYsmVLhbe3dOlSxMXF4fnnn1cFsQKjR49GvXr1cOjQIZw6dapqhRMRERER1QJJGTnYfD4CL68+h/bzDmH29utY8s892JkZFVlODsDeuPjNlx0tjGusVl2j1UfGBg0ahISEBFhaWpY4383NDQCQkJBQ4W3+8ccfAIBevXoVmyeXy9GzZ09s2LABmzdvRufOndWomoiIiIhI9+2/EYXfz0fg5L045Cn/uxKsaT1LDGrhglbu1nCxMkZUclaR68QKyJB/vy9/T9saq1nXaHUYMzAwgIHB04c//1NwbVfz5s0rtL309HQEBwcDABo3blziMgXTz58/X5lSiYiIiIh0WkpWLkwN9KCvl3/y3OWIRBy9EwsAaOJiicEtXDCwuQs87c1U68wd4ocpGy4VOxomKzRfF+73JRWtDmNlycvLU13X9dZbb1VonbCwMNVgH87OziUu4+KSf5fukJCQMreVnZ2N7Oz/zn9NSUkBACiVykoPKKJpSqUSQgjJ69BF7J362Dv1sXdVw/6pj71TH3unPvZOfdXRu7TsPBy6FY2916Nw/G4sfnq5Lbr5OgAAnm9VD6aGehjYzBnejuZF6ijQ188JP4xtjS/+vImY5EzIICAH4GhljE8G+6Gvn1ON/ay16bVV0Rp0Noz98ssviIqKwpQpU9C+ffsKrVMQmADAxKTkoTRNTU0BoNwh7ufPn4/AwMBi02NjY5GVlVXCGjVHqVQiOTkZQgjI5Vp/WaBWYe/Ux96pj72rGvZPfeyd+tg79bF36tNU7zJyFDgVloxDdxNxJjwZOYr/TjI8cuMRmljnP7aVA6OaWQLIQExMRqnba+0gx9bxTXEnOhUpSUmwtLZGIycLyOUyxMTElLqepmnTays1NbVCy+lkGLt//z7ee+89dOrUCQsXLpSkhtmzZ2PGjBmqxykpKXB3d4eDg0Op17jVFKVSCZlMBgcHB8lfiLqGvVMfe6c+9q5q2D/1sXfqY+/Ux96pTxO9e5yUiYHLjyMr978jN572Zhjc3BkDm7ugkbOF2vU5OjogNjZWsp+tNr22jI0rNmiJzoWxyMhI9O3bFz4+Pti3b1+FnyiAIiEpMzOzxGUyMvJTv5WVVZnbMjIygpGRUbHpcrlc8h8+AMhkMq2pRdewd+pj79TH3lUN+6c+9k597J362Dv1VaZ3mTkKHL0Tg9i0bIzr1AAA4GZjinrWJlAqBQa1cMHgFvXQ2NkCMplmruuS+mcr9f4LVHT/OhXGnjx5gt69e8PR0RH79u0rNzA9zdPTEzKZDEIIREVFoWHDhsWWKRgUxNvbWyM1ExERERFVlUIpcC40AbEx8XBI00cHL7sSB8bIylXg2N1Y/HUtEoduRSMjRwFzI3282M4dxgZ6kMlk2PJ6J9iZGWosgJH6dCaMPXjwAL169YKbmxv+/PNPmJubl7/SU8zMzNC0aVPcuHEDt2/fRteuXYstc/v2bQCo8HVoRERERETVaf+NSATuuYno5Ew0sRG4lRgGJysTzB3ih/7N8gefOxsaj9+DInDoVgzSsvNU67rZmGBQCxdk5yphbKAHALA3L352F0lDJ44N37t3D127doW3tzf27dtXJIhdu3YN/fv3r/C2Ro4cCQD4559/is1TKpU4fPhwkeWIiIiIiKSy/0Ykpmy4hMjkogPERSZn4Y0Nl7D/Rv5ZXefDErDzyhOkZeehnpUxXu3qiZ1vdcaJWT0we0ATWJmWfrsoko7Wh7Hg4GA8++yzaNOmDXbv3l1sFMSEhAQcOHCgyLT9+/fDx8cHU6dOLba9t99+G3Z2dti1axfCwsKKzPv999/x5MkT9OzZs8SjZkRERERENUWhFAjcc1N1Q2UBIDUXKDxoeuCem1AoBQa3rIeJnT2xbcozOPlBT3w8yA+t3K15KqKW0+rTFG/cuIEePXogLi4O4eHh6Ny5c7FlSho2ctmyZQgJCcHy5csRGBgIOzs71TwbGxts2bIFgwYNwoABA7BkyRI0bNgQR48exTvvvIMGDRpg/fr11fq8iIiIiIjKExSWUOSImAAQkVb0WEpkchaCwhLQydsOnw7xq+EKqaq0OowdOnQIcXFxAICrV69WeL2AgACcOHEC/fr1KxLECvTs2ROXL1/G559/jnHjxiExMRGurq547bXX8Mknn8Da2lpTT4GIiIiISC2PEp++t5cMejKB/NuC/XfEKyZV2nvckvq0OoxNmzYN06ZNq/R6o0ePxujRo8tcpnHjxvjtt9/UrIyIiIiISPOSM3NhZZJ/fZebjWmReTII+FoJ3EmSFTlV0dGi4rd6Iu2i9deMERERERHVZnkKJQ4ER2HCr0HoNP8fJGfkAgD8PW1hZ2aoWk4GoPBo9jIALlbG8Pe0rdmCSWO0+sgYEREREVFt9SgxA5vPP8SWCw8RnZKtmn4qJA4Dm7tATy7DvGHNMGXDpWLrFmSyuUP8SrzfGOkGhjEiIiIiohoUEpuG//15E0fvxkL8O1SinZkhRrRzw5j29dHA3ky1bP9mLlgR0EZ1n7ECzlbGRe4zRrqJYYyIiIiIqJrlKZTQ18u/QsjCSB8n7sVBCOAZbzu81KE++vo5w1C/5CuI+jdzQR8/Z5wLjUdsTDQcHJ3QwcuOR8RqAYYxIiIiIqJqkKdQ4uidWPwWFIFchRLrJ3UAADhaGuOr4S3Q1sMGnoWOgpVFTy5DRy9bxJjnwdHRFnIGsVqBYYyIiIiISIOeJGWqrgUruE+YTAZEJWfB2Sp/5MMRbd2kLJG0BMMYEREREZEGXAhPwIqjIThyJwbKf68FszUzxIi2bhjd3l0VxIgKMIwREREREWlAeHwG/rkdAwDo6GWLMf710b+ZM4z09SSujLQVwxgRERERUSUolAJH78RgU1AEnvG2x8QungCAwS1ccD8mDSPbucHbwVziKkkXMIwREREREVVAZPK/14Kdf4gn/14LFhqXjlc6N4BMJoOxgR4+HNBY4ipJlzCMERERERGV4djdWKw/8wCHb0errgWzNjXAiDZuGNOhPmQyjmxI6mEYIyIiIiIqw5YLD3HoVjQAoIOnLV7qUB/9mjrD2IDXglHVMIwRERERESH/WrDj92Kx6VwEZvVvDB/H/Ou+xndqAGdLY4zxr6+aRqQJDGNEREREVKdFp2Rhy/mH+P38QzxOygQA1Lc1xZzBfgAAf09b+HvaSlki1VIMY0RERERU5yj/PQr227kI/HM7Bop/LwazMjHA8DZuGO3vLnGFVBcwjBERERFRnZOjUGL65itIzMgFALRvYIOXOtTHgGYuvBaMagzDGBERERHVakqlwIn7cTh4MwqfP9cMcnn+MPQTnvFEUmYOxvjXh6+ThdRlUh3EMEZEREREtVJMahb+uPAIm4Ii8Cgx/1qwgc1c8IyPPQDg3d4NpSyPiGGMiIiIiGoPpVLg5P04/HYuAoduRSPv32vBLIz1MbyNG9xsTCWukOg/DGNEREREVGtcjEjEuF+CVI/b1LfGSx08MKi5C0wMeS0YaReGMSIiIiLSSUqlwKmQOEQlZ2Fku/zRD9t52KB1fWu0cLXCmA710djZUuIqiUrHMEZEREREOiU2NRt/XHyI34MeIiIhA5bG+hjSsh6MDfQgk8mwfcozkMlkUpdJVC6GMSIiIiLSekqlwOmQePwW9AB/Bxe9FmxYa1dk5ihUQ9IziJGuYBgjIiIiIq33w9H7WPD3XdXj1vWt8ZJ/fQxuUY/XgpHOYhgjIiIiIq2iVAqcCY2HlYkBmrlaAQAGt6iHlcdDMbS1K8b410cTF14LRrqPYYyIiIiIaoRCKXAuNAGxMfFwSNNHBy876Mn/O6UwLi0bWy8+wu9BEQiPz0D/ps748eW2AIAG9mY4P6c3jPR5FIxqD4YxIiIiIqp2+29EInDPTUQnZ6KJjcCtxDA4WZng08FNYGViiI1BEfg7OAq5ivxrwcyN9OFsZQwhhOoaMAYxqm0YxoiIiIioWu2/EYkpGy5BAJAXmh6VnIUpGy8XWbaluzVe8nfHkJb1YGrIj6pUu/EVTkRERETVRqEUCNxzE+LfxwLAvwMhqqbJALzUoT5e6lAfTetZ1XyRRBKRl78IEREREZF6gsISEJmcpXosIENyTtFlBPIH6GAQo7qGYYyIiIiIqs358PinpgjkieLLxaRmFZ9IVMvxNEUiIiIi0rjrj5Kx6NBdHL4dU2S6DICDMRCXWXR5RwvjmiuOSEswjBERERGRxs3fdwunQ+Ihl+WPgpiZqwCQH8YKkwFwtjKGv6dtjddIJDWGMSIiIiKqsluRKXCyNIatmSEAYHofXzhbRuDtXg1xJyoFUzZcKrZOQTCbO8SvyP3GiOoKXjNGRERERGq7E5WKKRsuYsD3J/DT8RDV9PYNbLFwVCt42puhfzMXrAhoA2eroqciOlsZY0VAG/Rv5lLTZRNpBR4ZIyIiIqJKuxedisX/3MPe65EQApDJgMT0nFKX79/MBX38nHEuNB6xMdFwcHRCBy87HhGjOo1hjIiIiIgq7H5MGpb8cw97rj2B+HdUxIHNnfFuL180crYoc109uQwdvWwRY54HR0dbyBnEqI5jGCMiIiKiCltzOgy7rz4BAPRr6oRpvX3RxMVS4qqIdBPDGBERERGV6kF8OoQAGtibAQDe6uGDuNQcTO3pg2auvEkzUVUwjBERERFRMQ8TMrD08D1su/QYPRo5YtX4dgAAFysT/PhyW4mrI6odGMaIiIiISOVRYgaWH7mPPy48Qp4y/6KwPKUS2XkKGOnrSVwdUe3CMEZEREREeJKUieVH7mPLhYfIVeSHsK4N7TGtty/aethIXB1R7cQwRkREREQ4EByFjeciAACdfewwvbcv2jWwlbgqotqNYYyIiIioDopJyUJUShZauFkDAMb418eFB4kY19EDHbzspC2OqI5gGCMiIiKqQ2JTs/HjsRBsOPsAbjYm+Ht6N+jJZTA20MPyl9pIXR5RncIwRkRERFQHxKdl46fjoVh3JhxZuUoAgLWpIeLTs+FoYSxxdUR1E8MYERERUS2WkJ6Dlf+GsIwcBQCglbs1ZvTxRdeG9pDJZBJXSFR3MYwRERER1WI3Hifjx2MhAIAWblaY3scX3X0dGMKItADDGBEREVEtkpyRi+DIZDzjbQ8gf3j6Mf710buJI3o2dmQII9IiDGNEREREtUByZi5+ORmGX06GAQBOftATVqYGkMlkmP9Cc4mrI6KSMIwRERER6bDUrFz8eiocq06EIiUrDwDQyMkCUSlZsDI1kLg6IioLwxgRERGRDkrLzsPa0+FYeTwUyZm5AICGjuaY1tsXA5o5Qy7n6YhE2o5hjIiIiEgHxadlY+HBu1AoBbwdzPBub18Mau4CPYYwIp3BMEZERESkAzJzFDh1Pw69/ZwAAB52Zni7pw8a2JlhSMt6DGFEOohhjIiIiEiLZeUqsOHsA/x4LBTx6dk4MO1Z+DpZAACm9faVuDoiqgqGMSIiIiItlJWrwKagCKw4GoKY1GwAgLutCeLSslVhjIh0G8MYERERkRbJzlNg8/mHWH7kPqJT8kOYq7UJ3unlgxfauMFATy5xhUSkKQxjRERERFokTyGw+NA9JKTnoJ6VMab2bIgRbd1gqM8QRlTbMIwRERERSShXocT+G1EY3MIFMpkMZkb6mNWvEXKVAi+2c4ORvp7UJRJRNWEYIyIiIpJArkKJHZceY8nhe3iUmAlDfTn6NXUGAIz2ry9xdURUExjGiIiIiGpQnkKJnVeeYMk/9xCRkAEAsDc3QnaeUuLKiKimMYwRERER1QClUmDX1cdY8s99hMWlAwDszAzxRjdvBHT0gIkhT0ckqmsYxoiIiIhqgEwGrDoRhrC4dNiYGuD1bt4Y18kDpob8OEZUV/HdT0RERFQNlEqBfTei0L2RA8yM9CGTyTCrf2PceJyM8c80gLkRP4YR1XX8LUBERESkQUqlwP7gKHx/6B7uRKdiVv9GeLO7DwCgm68Duvk6SFwhEWkLhjEiIiKiSlAoBc6FJiA2Jh4Oafro4GUHPbkMQggcCI7G4kN3cTsqFQBgYazPoemJqFQMY0REREQVtP9GJAL33ER0ciaa2AjcSgyDk5UJhrWuh6N34nAzMgUAYGGkj1e6eGJSF09YmRhIXDURaSuGMSIiIqIK2H8jElM2XIIAIC80PSo5Cz8cDQUAmBnq4ZXOnpjc1RPWpoaS1ElEuoNhjIiIiKgcCqVA4J6bEP8+FgByFP99DwBmRno49n4P2JsbSVAhEekiefmLEBEREdVtQWEJiEzOUj0WkCE2S1ZkmfRsBe5Fp9V0aUSkwxjGiIiIiMoRlZL51BQBPdl/R8UKxKRmgYioohjGiIiIiMpwPyYNPx0LLTJNBsDZVED21LKOFsY1VhcR6T5eM0ZERERUiiN3YvD6uovIUSghw39Hwp4OYTIAzlbG8Pe0rdkCiUin8cgYERERUSnaedjA1swQPRo54IuhTSFDyUEMAOYO8YOe/Om5RESl45ExIiIion8lZ+Riy4WHmNzVEzKZDBbGBtg1tTMcLYwgk8lgb26kus9YAWcrY8wd4of+zVwkrJyIdBHDGBEREdV5Qgj8dT0Sn+2+ibi0bFibGmBkO3cAgJPlf9eB9W/mgj5+zjgXGo/YmGg4ODqhg5cdj4gRkVoYxoiIiKhOe5SYgU93BePw7RgAgJeDGRrYm5W6vJ5cho5etogxz4Ojoy3kDGJEpCaGMSIiIqqT8hRKrDkdju/+vovMXAUM9eR4s4c3pnT3hpG+ntTlEVEdwDBGREREddL7W69hx+XHAAD/Brb48oVm8HG0kLgqIqpLGMaIiIioTgroWB9H7sTgg/6NMaqdO083JKIaxzBGREREdcKROzGITMrCSx3qAwDaetji1Ac9YWbEj0NEJA2dus/Y6dOn0ahRI8hkMoSHh0tdDhEREemA2NRsvLPpMl759Tw+2xOMsLh01TwGMSKSkk6EsczMTMycORPPPvss7t69W+XtpaSkYOHChejQoQOcnZ1haGiIevXq4YUXXsDx48c1UDERERFJTQiBzecj0HvhMey++gRyGfByRw84WhhJXRoREQAdCGMhISFo1aoVtm3bhn379lV5e5GRkWjZsiVmzpyJRo0aYffu3bh9+zZ++OEH3Lx5E926dcOyZcs0UDkRERFJJSQ2DaNXnsUH264jOTMXTetZYtdbXfDJYD8eDSMiraH1v42Cg4PRq1cvfPPNNzA3N6/y9r766iuEh4ejS5cuWLdunWq6l5cXmjZtCl9fX8ycORMjRoyAs7NzlfdHRERENSs1KxdDl51CanYeTAz0MKOPL17p3AD6elr/P2giqmO0/rfSoEGD8MMPP2gkiAHAvXv3AAAdO3YsNq9hw4aws7NDTk4OTp06pZH9ERERUc2yMDbAa896oZuvA/6e/ixefdaLQYyItJLW/2bS09PsTRdbtmwJALh582axedHR0UhISAAAmJiYaHS/REREVD2SM3Px0Y7ruByRqJr2Zg8frHmlPdxtTSWsjIiobFofxjRt9uzZ6NSpE/bu3YvPP/8cCQkJUCqVCA4OxsiRIyGEgK2tLTp16iR1qURERFQGIQT+uhaJ3guP4bdzEfhoxw0olQIAoCeXQSbjfcOISLtp/TVjmmZpaYlTp05h06ZN+PjjjzF37lzo6+sjLy8PAGBvb4+NGzfCxsamzO1kZ2cjOztb9TglJQUAoFQqoVQqq+8JVIBSqYQQQvI6dBF7pz72Tn3sXdWwf+rT5d49TsrE3N3BOHw7FgDgZW+GTwc1BiBUgaw66XLvpMbeqU/beyd1fVLv/+laKqLOhTGFQoG5c+fiq6++wsCBA7F69Wo4Ozvj+vXrOH36NN588000atSo3O3Mnz8fgYGBxabHxsYiKyurOkqvMKVSieTkZAghIJfXuYOfVcLeqY+9Ux97VzXsn/p0sXcKpcAfV2Lw05knyMxVQl8uw/j2zhjX3hlG+grExMTUSB262Dttwd6pT9t7J3V9Uu+/sNTU1AotV+fC2IcffogFCxagc+fO2LVrl+oUBj8/P3Tp0gXNmjXDrFmzMHv27DK3M3v2bMyYMUP1OCUlBe7u7nBwcIClpWW1PofyKJVKyGQyODg4SP5C1DXsnfrYO/Wxd1XD/qlPF3u393okFh9/BABo52GDeUOboqGTRY3XoYu90xbsnfq0vXdS1yf1/gszNjau0HJ1Koylp6er7iE2c+bMYueSu7q6YsSIEfjoo49gYWGBqVOnlrotIyMjGBkVv2mkXC6X/IcPADKZTGtq0TXsnfrYO/Wxd1XD/qlP13o3sHk99LkaiR6NHDG6vTvkcumuC9O13mkT9k592t47qeuTev8FKrp/7fwpVpPg4GDVKYRNmjQpcZmC6StWrKixuoiIiKhkx+7G4sWfziAtO//abrlchp/HtcNLHepLGsSIiDShToWxwkobYakgxT569KgmyyEiIqJC4tKyMe33yxj/SxCCwhLw07EQqUsiItK4OnWaoo+PD+RyOZRKJe7cuVPiQB137twBADg7O9d0eURERHWeEAJ/XHyEL/feQlJGLuQyYMIznnijm7fUpRERaVytPDK2f/9++Pj4FLvmy9bWFoMGDQIAfP/998XWi42NxcaNGwEAw4cPr/5CiYiISCU0Ng1jfj6LWVuvISkjF34ultj5Vmd8OsQPZkZ16v/HRFRH6EQYi42NRVRUFKKiosqcVmDZsmUICQnB8uXLER8fX2TeihUr4OXlhcOHDyMgIAAXLlzAw4cPsW/fPvTu3Rupqano1KkTPvroo2p/XkRERPSfJf/cw9nQBBgbyPHRwMbYPbUzWrhZS10WEVG10Yl/M7Vv3x4PHjwoMs3f31/1vRBFb+4YEBCAEydOoF+/frCzsysyz9XVFZcvX8aSJUuwc+dO9OzZExkZGbCyskLz5s3xww8/YPLkyTAwMKi+J0REREQA8u8bpvfvQBwfDWqCXIXAhwMaw93WVOLKiIiqn06EsfDw8EotP3r0aIwePbrU+ZaWlpgzZw7mzJlTxcqIiIhIHSlZufhm/20kZeRi2UttAACOFsZYPraNxJUREdUcnQhjREREVDsIIbD/RhTm7g5GTGo2AODN7inwq2cpcWVERDWPYYyIiIhqxJOkTHy66wYO3YoBAHjam2HesGYMYkRUZzGMERERUbVSKAXWnQnHggN3kJ6jgIGeDFO6eePNHj4wNtCTujwiIskwjBEREVG1yspV4OfjoUjPUaCthw3mv9Acvk4WUpdFRCQ5hjEiIiLSuKxcBQz15JDLZTAz0se8F5rjcWImXvKvD/m/oycSEdV1OnGfMSIiItIdx+/Gos+iY9h84aFqWo9Gjgjo6MEgRkRUCMMYERERaUR8Wjamb76Ccb8E4WFCJtaeDodSKcpfkYiojuJpikRERFQlQghsvfgI8/beQlJGLuQyYMIznpjZ15dHwoiIysAwRkRERGoLj0vH7O3XcSY0HgDQxMUSX73QHC3draUtjIhIBzCMERERkdqSMnNxNiwexgZyTO/ti4ldPGGgx6sgiIgqgmGMiIiIKiUmJQuOlsYAgFbu1vhyWHN08bGHu62pxJUREekW/uuKiIiIKiQlKxdzdl5H12+O4H5Mmmr6GP/6DGJERGrgkTEiIiIqkxACB4Kj8OmuYMSkZgMAjtyOgY+jucSVERHpNoYxIiIiKtWTpEx8uisYh25FAwA87c0wb1gzPONtL3FlRES6j2GMiIiISrTx3AN8+dctpOcooC+XYUp3b7zVwwfGBnpSl0ZEVCswjBEREVGJUjLzkJ6jQJv61pj/Qgs0craQuiQiolqFYYyIiKgOUigFzoUmIDYmHg5p+ujgZYecPCViUrPgYWcGAJjc1RPOVkZ4vqUrb95MRFQNGMaIiIjqmP03IhG45yaikzPRxEbgVmIYrE0NIZfLYGNqiL/e6QpDfTkM9OQY1tpN6nKJiGothjEiIqI6ZP+NSEzZcAkC+fe3yVMCSgAJGbkA8o+YRSRkcKREIqIawPuMERER1REKpUDgnpsQ/z4WAO6nyAD8dwqiob4cnvZmUpRHRFTnMIwRERHVEUFhCYhMzlI9FpBBIWSAKp4B0SnZCApLkKA6IqK6h2GMiIiojohJzXpqioCjsRJPD81RfDkiIqoODGNERER1hIO5UZHHMgAOJigWxhwtjGusJiKiuowDeBAREdVyeQolvjlwB1m5CrhYGSMqOQsCxUOYDICzlTH8PW0lqJKIqO7hkTEiIqJaLCY1Cy+tOoeVx0Ox7swDTOzcAEDJQQwA5g7xgx7vKUZEVCN4ZIyIiKiWCgpLwFu/XUJsajbMjfTx7YgWGNDcBe62pqr7jBVwtjLG3CF+6N/MRcKKiYjqFoYxIiKiWkYIgdUnwzB/320olAK+TuZYEdAW3g759w7r38wFffyccS40HrEx0XBwdEIHLzseESMiqmEMY0RERLXMh9uuY/OFhwCA51vVw/wXmsPUsOiffD25DB29bBFjngdHR1vIGcSIiGocrxkjIiKqZXo2cYShnhyfP98Ui0e1KhbEiIhIO/C3MxERUS0Ql5YN+3+Hru/X1BnHZnWHi5WJxFUREVFZeGSMiIhIh+XkKTF31w30XXQcT5L+G5CDQYyISPsxjBEREemoJ0mZePGnM1h75gES0nNw/G6s1CUREVEl8DRFIiIiHXTyXhze+f0yEtJzYGmsj8WjW6FnYyepyyIiokpgGCMiItIhSqXAD0fv47uDdyEE0LSeJX4MaAt3W1OpSyMiokpiGCMiItIha06HY8HfdwEAo9q5I/D5pjA20JO4KiIiUgfDGBERkQ4Z418fu68+wRh/d4xqX1/qcoiIqAoYxoiIiLTc0TsxeLahA+RyGUwM9bB9yjO8STMRUS3A0RSJiIi0VFauAh9svYYJv57HD0fvq6YziBER1Q48MkZERKSFIuIzMGXjRQQ/SYFcBshkDGBERLUNwxgREZGWOXw7GtN+v4KUrDzYmhliyejW6NLQXuqyiIhIwxjGiIiItIRCKbD40F0sPZx/SmLr+tZY/lIb1LM2kbgyIiKqDgxjREREWiI0Ng0/HQsFAEx4pgE+GtgEhvq8vJuIqLZiGCMiItISDZ0s8L9hzWCkL8fzrVylLoeIiKoZwxgREZFEhBDYcPYBWte3QTNXKwDAi+3cJa6KiIhqCsMYERGRBDJy8vDR9uvYeeUJ3GxMsO/drrAwNpC6LCIiqkEMY0RERDUsNDYNb2y4iLvRadCTyzC+UwOYG/FPMhFRXcPf/ERERDVo/41IvPfHNaRl58HBwgjLxrRGBy87qcsiIiIJMIwRERHVgDyFEt8cuIOVx/NHS/T3tMWyMa3haGkscWVERCQVhjEiIqIaIJfJcDc6FQDw+rNeeL9fI+jrcdh6IqK6jGGMiIioGgkhIJPJIJfLsHhUK1wIT0RvPyepyyIiIi3Af8kRERFVAyEEfj4eio92XIcQAgBgbWrIIEZERCo8MkZERKRhqVm5eP+Pa9gfHAUAGNKiHp7xsZe4KiIi0jYMY0RERBp0JyoVb2y4iLC4dBjoyfDpkKbo5M3REomIqDiGMSIiIg3ZefkxZm+/jsxcBepZGWP52DZoXd9G6rKIiEhLMYwRERFpwIIDd7DsyH0AQNeG9vh+dGvYmhlKXBUREWkzhjEiIiIN8Pe0hd4xGd7q4YN3ezWEnlwmdUlERKTlGMaIiIjUlJyRCytTAwDAs74OODKzO+rbmUpcFRER6QoObU9ERFRJSqXA0n/uoduCI3gQn66aziBGRESVwTBGRERUCUkZOZi09jy+O3gXSRm5+PNapNQlERGRjuJpikRERBV043Ey3thwEY8SM2GkL8cXQ5vhxXbuUpdFREQ6imGMiIioAjafj8Anu4KRk6dEfVtT/DC2DZq5WkldFhER6TCGMSIionLsvPwYH2y7DgDo3cQR341spRq4g4iISF0MY0REROUY0NwZ68/aoGdjR0zp5g05h60nIiINYBgjIiIqQVBYAtrUt4a+nhxG+nrY/FpH6Otx3CsiItIc/lUhIiIqRKEU+PbAbbz40xks+PuuajqDGBERaRqPjBEREf0rPi0b7/x+GafuxwMAsnIVEEJAJuNpiUREpHkMY0RERAAuRSTirY2XEJmcBRMDPXw1vDmeb+UqdVlERFSLMYwREVGdJoTAujMP8L+/biJXIeDlYIYfA9rC18lC6tKIiKiWYxgjIqI67UlyFr7adxu5CoGBzZ3xzYiWMDfin0ciIqp+/GtDRER1mqu1Cb4a3hyxqdmY1MWT14cREVGNYRgjIqI6Z+/1SDhYGKF9A1sA4LVhREQkCYYxIiKqM3IVSny97zZWnQyDo4UR9r3bFXbmRlKXRUREdRTDGBER1QnRKVmY+tslnA9PBAC80MYNViYGEldFRER1GcMYERHVemdD4zH1t8uIS8uGhZE+FrzYEv2aOktdFhER1XEMY0REVGsJIbDyeCi+OXAHCqVAY2cLrAhoC097M6lLIyIiglzdFY8fP468vLxS58fHx6Njx4746KOPkJGRoe5uiIiIquTqoyQolAIvtHbFjjc7M4gREZHWUPvIWI8ePRAZGQlHR8cS5xsYGMDJyQlLly5FcnIyli9frnaRRERE6pDJZPhmREv0buKEYa1dOWw9ERFpFbWPjAkhypxvaWmJXbt2YceOHdi1a5e6uyEiIiqVQilwNjQB50LjcTY0AQqlwPZLjzBjyxXV3ylzI3280MaNQYyIiLROtV8z5urqitjY2OreDRER1TH7b0QicM9NRCdnoomNwM3EMJgY6iMjRwEA6NXYCYNauEhcJRERUekqHMaOHz+Oo0ePFpm2YMECmJubl7pOeno69u/fDw8PD7ULJCIietr+G5GYsuESBPJP8chRAgJQBbFBzZ3RvxlHSyQiIu1W4TB25MgRBAYGQiaTqU79WLBgQanLF17uxx9/rGKZRERE+RRKgcA9N1FwsrwAEJoiA/DfaYiXIpIkqIyIiKhyKhzGunfvrvpeCIEvvvgCM2bMKPXImFwuh7W1Nbp164YWLVpUuVAAOH36NF555RXcvXsXYWFhaNCggUa2S0REuiMoLAGRyVmqxwKAQsj+/S4/kEUmZyEoLAGdvO0kqZGIiKgiKhzGunXrhm7duqkef/7553j//fdLHU1RkzIzMzFnzhx8//33UCgUGtmmEAIbN27EunXrcOXKFSQnJ8PBwQE+Pj7o1q0b3nvvPVhYWGhkX0REpDkxqVnFplkbCiTnAKKc5YiIiLSJ2qMpHjlyBLa2tpqspUQhISFo1aoVtm3bhn379mlkmxkZGejXrx9mzZqFF154AcePH8etW7ewaNEihIaG4vPPP0d0dLRG9kVERJrlaGFc5LEMQD1TgafHSnx6OSIiIm2j9miKhY+SVafg4GD06tUL33zzTZmDhVTG+PHjce7cOVy5cgWenp6q6V5eXnBwcMDo0aOhr1/tA00SEVEl5SqU2Hs9EvbmhohPy1GdmFh41HoZAGcrY/h7Vv8/DImIiKpC7SNjmZmZWLduHdatW4e7d++qpgcHB6Nr164wNzdH06ZNsXv37ioVOGjQIPzwww8aC2KHDh3C1q1b8dZbbxUJYgW6d++OqKgoXo9GRKRlMnMUeG3dBaw/+wBA4SvE/lPweO4QP+jJeV8xIiLSbmqHsT179mDChAmYMWMGrl+/DgBIS0vDwIEDcerUKWRkZODWrVsYMWIErl69qnaBenp6aq9bkpUrVwIABgwYoNHtEhFR9UnOzMXLq8/hyJ1YGBvI8e3IlvgxoA2crYqeiuhsZYwVAW3QvxnvL0ZERNpP7XPxtm7dim7duuHPP/+EmZkZAGD9+vV4+PAhOnTogK1btyInJwejRo3CggULsH79eo0VXRWHDh0CAHh6emLZsmXYsGED7t+/D2NjY7Rq1QpvvvkmBg4cKHGVRERUICYlC+N+CcLtqFRYGuvjlwnt0a5B/imIffyccS40HrEx0XBwdEIHLzseESMiIp2hdhg7c+YM1q9frwpiALBhwwbIZDJ8//33cHV1BQAEBgbi3XffrXqlGvDw4UMkJiYCAMaOHYu4uDjMmzcPvr6+uHv3Lj766CMMGjQIs2fPxpdfflnmtrKzs5Gdna16nJKSAgBQKpVQKpXV9yQqQKlUQggheR26iL1TH3unPvaudBEJGRj3SxAiEjLhYGGENRPaoYmLpapXMgD+DawRa5YLBwdryCCgVIqyN0oqfO2pj71TH3unPm3vndT1Sb3/p2upCLXDWExMDLy9vVWPY2Njce7cOfj6+sLf31813c/PD48ePVJ3NxoVGxur+j4oKAihoaFwcck/lcXPzw8dO3ZE48aNMX/+fHTv3h19+/YtdVvz589HYGBgifvIypJ2OGWlUonk5GQIISCXq30map3E3qmPvVMfe1e6L/4KRURCJlytDPH9sIaw08tCTEzR37Hsn/rYO/Wxd+pj79Sn7b2Tuj6p919YampqhZZTO4w5OjoiNjYW7u7uAIDNmzdDqVRi5MiRxQrRlpEJMzIyVN+PHDlSFcQKODs7Y9SoUVi5ciWWLl1aZhibPXs2ZsyYoXqckpICd3d3ODg4wNLSUvPFV4JSqYRMJoODg4PkL0Rdw96pj71TH3tXuu9G22DunpuY3b8RHC1LHqqe/VMfe6c+9k597J36tL13Utcn9f4LMzau2O1V1E5JzZs3x5IlS7BmzRrExMTg22+/hUwmQ0BAQJHljhw5Ah8fH3V3o1EmJiaq7/38/Epcpm3btgDyj5yVxcjICEZGRsWmy+VyyX/4ACCTybSmFl3D3qmPvVMfe/efsLh0eNrnnwJvbWaE70e3Lncd9k997J362Dv1sXfq0/beSV2f1PsvUNH9q13ljBkzsG7dOlhbW8PDwwMPHz7E4MGD4evrCwB48uQJVq9ejU8//bTMI0w1qfCRsNJuWG1hYQEAqmvLiIio5uy68hh9Fh7DqhOhUpdCRERU7dQOY71798aPP/4Ia2tr6OnpYciQIVi9erVq/scff4xXX30VycnJGDVqlEaKrap69erB0dERABAdHV3iMgXTbWxsaqwuIiIC1p0Jx7TNV5CnFLj+OP+cfyIiotqsSsfvXnvtNYSHhyMtLQ27du2Cvb29at6vv/6qGlmwdevyTzGpKUOHDgWAUu99FhwcDAB45plnaqokIqI6TQiB7w/dw6e7giEEML6TBxa92AoyGYeoJyKi2k07Tzatov3798PHxwdTp04tNu+9996DoaEhdu3ahYiIiCLzYmNj8dtvv0EmkxUZnIOIiKqHUikQuOcmFh26CwCY1rshPnuuKeS8VxgREdUBGhnm8M6dO/j777/x4MEDAICHhwf69u2LRo0aaWLziI2NhUKhKDatYJQSZ2fnIvOWLVuGkJAQLF++HIGBgbCzs1PNa9iwIVatWoUJEyagf//+WLhwIfz8/HDv3j289957yMzMxLfffouuXbtqpHYiIiqZEALv/XEV2y8/BgB8NsQPEzp7SlwVERFRzalSGEtJScFrr72GP/74o8T5I0eOxE8//QQrK6uq7Abt27dXBb0Che9l9vR1BQEBAThx4gT69etXJIgVePnll9GkSRN8/fXXmDBhAuLj42Fra4suXbpg6dKl6NKlS5XqJSKi8slkMjR1tcLuq0+wYGRLDG3tKnVJRERENUrtMJadnY2+ffsiKCgIcrkcDRo0gJOTE4D8QTDCw8OxZcsWhIeH4/jx4zA0NFS7yPDw8EotP3r0aIwePbrMZdq1a1dqiCQiopoxqYsnejRygJeDudSlEBER1Ti1rxlbtmwZLly4gI8//hhRUVG4f/8+Tp06hVOnTuH+/fuIiorCRx99hAsXLmD58uWarJmIiHRUTGoWpv1+GcmZuappDGJERFRXqX1kbNOmTfjkk08wd+7cEufb29vjf//7H/T09LBx40ZMnz5d7SKJiEj3PUzIQMDqc3gQn4HsPCVWBLSVuiQiIiJJqX1k7M6dOxgzZky5y40dOxZ37txRdzdERFQL3I5KwfAVp/EgPgPutib4cEBjqUsiIiKSnNpHxoQQkMvLz3K8TwwRUd128UECXvn1PFKy8tDY2QLrJvrD0dJY6rKIiIgkp/aRMV9fX2zbtq3c5bZs2YKGDRuquxsiItJhR+/EYOyqc0jJykNbDxtsfq0TgxgREdG/1A5jI0eOxKeffopvv/0WaWlpxeanpqZi/vz5+PzzzzFq1KgqFUlERLonJ0+JT3cFIytXiW6+Dlg/yR9WpgZSl0VERKQ11D5Ncdq0afj999/x4Ycf4pNPPkGjRo3g6OgIIH9o+zt37iAvLw/NmzfHu+++q7GCiYhINxjqy/HLhPZYczoMnw5uCkN9tf//R0REVCupHcZMTExw6NAhjB8/Hvv378f169eLLTNgwACsWbMGxsY8JYWIqC4QQiAkNg0+jhYAAB9Hc/xvaHOJqyIiItJOaocxAHBwcMDevXtx+fJl/P3333jw4AEAwMPDA3379kXr1q01UiQREWk/pVLg8z9v4rdzEfhlQnt0aWgvdUlERERarUphrEDr1q0ZvIiI6rBchRKztl7DjsuPAQBh8ekMY0REROXQSBgjIqK6KzNHgbd+u4TDt2OgJ5fhu5EtMbS1q9RlERERab1KhbG1a9eqTkW0trbGO++8U+Jy27Ztw/Hjx/HZZ5/Bxsam6lUSEZFWSs7MxeS153E+PBFG+nKsCGiDno2dpC6LiIhIJ1Q4jKWmpmLKlCnIzs6GEAK9evUqNYylpaVh6dKl2LlzJw4ePAhfX1+NFUxERNohOTMXo1eexa3IFFgY62P1+Pbw97SVuiwiIiKdUeFxhvfu3YusrCy0atUKly5dwsGDB0tddvjw4fjyyy+RlJSE559/Hrm5uRoploiItIeFkT4aO1vA3twIm1/rxCBGRERUSRUOY//88w+cnZ1x9OhRtGrVqsxlzc3N8eGHH+LAgQN4+PAh1qxZU8UyiYhI28jlMnwzogV2Te0Mv3qWUpdDRESkcyocxi5duoR3330XFhYWFd54x44d8eqrr+KPP/5QqzgiItIuFx8kYvb261AoBQDAQE8OV2sTiasiIiLSTRUOY6GhoejcuXOldzBs2DBcu3at0usREZF2OXY3FgGrzmFTUARWnwyVuhwiIiKdV+EBPNLS0uDu7l7pHdSvXx+JiYmVXo+IiLTH7qtPMHPLFeQqBLr5OiCgo4fUJREREem8Cocxa2trZGZmVnoHWVlZMDMzq/R6RESkHdaffYBPd92AEMCQlvXw3ciWMNSv8IkVREREVIoK/zX19vbG+fPnK72D8+fPw9vbu9LrERGRtIQQWPLPPXyyMz+IvdzRA4tHtWIQIyIi0pAK/0Xt3bs3Fi9eDCFEhTeuVCqxePFi9OvXT63iiIhIOg/iM7D8yH0AwDu9GuLz55tCTy6TuCoiIqLao8JhbMqUKbh16xYCAgIqdLpiZmYmxo4di1u3buHNN9+sUpFERFTzGtibYflLbTB3iB9m9PGFTMYgRkREpEkVvmasXr16mDdvHmbOnIkTJ05g0qRJ6NWrFxo3bgxra2sAQFJSEm7fvo1//vkHq1evxuPHj7F48WLUq1evuuonIiINyspVICo5Cw3s86/17e3nJHFFREREtVeFwxgATJ8+HTExMfj666/x+eef4/PPPy91WSEEPvvsM7z99ttVLpKIiKpfcmYuXl17AeHx6dj6xjOob2cqdUlERES1WqWvwp4/fz727NmD5s2bQwhR4lerVq1w4MABfPrpp9VRMxERaVhMahZGrzyLoPAEZOYoEJuWJXVJREREtV6ljowVGDRoEAYNGoS7d+/i7NmziI6Ohkwmg5OTEzp16gQfHx9N10lERNXkYUIGAlafw4P4DNibG2HtxPZoWs9K6rKIiIhqPbXCWAFfX1/4+vpqqhYiIqphd6JS8fLqc4hJzYabjQk2TOqgul6MiIiIqleVwhgREemum09SMObns0jOzEUjJwusm+QPJ0tjqcsiIiKqMxjGiIjqKHdbE7jbmsBbzwy/TGgPa1NDqUsiIiKqUxjGiIjqKAtjA6yb2AHGBnKYGvLPARERUU2r9GiKRESku9affYCfjoWoHtuaGTKIERERSYR/gYmI6gAhBJYdvo/vDt4FALT1sEG7BrYSV0VERFS3MYwREdVySqXA//66hV9OhQEA3unpg7YeNhJXRURERAxjRES1WK5CiQ+2XsP2y48BAJ8O9sPELp4SV0VEREQAwxgRUa2VlavA1N8u4dCtGOjJZVgwsgWGtXaTuiwiIiL6V5UH8Lh48SImTZqExo0bw9LSEmFh+afBzJo1C/v27atygUREpJ4jt2Nw6FYMjPTlWPlyWwYxIiIiLVOlMPbtt9+iY8eO+PXXX3H37l2kp6dDCAEAuHz5MgYPHozp06drpFAiIqqcAc1d8OGAxlg/qQN6NXGSuhwiIiJ6itph7O+//8YHH3wAR0dHzJ49GytXroSxsbFq/sGDB7F27Vr89NNP2LFjh0aKJSKisj1MyEBieo7q8RvdvOHvyVETiYiItJHa14x9//336NSpEw4fPgwjIyMAKHYULCAgABEREVi2bBmGDRtWtUqJiKhMd6JSMe6Xc6hnbYKNkzvw/mFERERaTu0jY+fPn8cXX3yhCmKlef7553H79m11d0NERBVwKSIRL/50BtEp2cjIViAtO0/qkoiIiKgcav/bNDk5GR4eHuUuZ2pqioSEBHV3Q0RE5Th+Nxavr7+IzFwF2tS3xi8T2sPa1FDqsoiIiKgcah8Zc3Fxwfnz58td7siRI6hXr566uyEiojL8ee0JJq09j8xcBZ71dcCGyR0YxIiIiHSE2mGsb9++mDZtWpmB7OzZs5g9ezYGDhyo7m6IiKgUOy4/wtubLiNXITC4hQtWjWvH68SIiIh0iNp/tT/++GNs2bIFHTt2xDPPPIO2bdsiLy8PP/zwA4QQCAoKwpkzZ2BlZYUPP/xQkzUTERGAlm7WsDU1xIDmzgh8rhn05DKpSyIiIqJKUDuMeXh44M8//8SIESNw6tQpnD59GgCwaNEiAIAQAs7Ozti+fTtcXV01Uy0REal4OZjjr3e6wsnSCDIZgxgREZGuqdL5LF26dMGdO3ewatUqHDx4EBEREQDyg1rfvn0xadIkWFpaaqRQIqK6LlehxJwdNzCguTO6N3IEADhbGZezFhEREWmrKl9cYGVlhZkzZ2LmzJmaqIeIiEqQlavA1N8u4dCtGOy9HokTH/TgQB1EREQ6Tu0BPLy8vBAfH6/JWoiIqAQpWbkY90sQDt2KgZG+HItGtWIQIyIiqgXUDmPh4eFYt24dUlJSNFkPEREVEpeWjTErzyIoLAEWRvpYN9Efvf2cpC6LiIiINEDtMAYA8+fPR7169TB+/HicOnVKUzURERGAhwkZGPnjGQQ/SYG9uSE2vdYRHbzspC6LiIiINKRKYezKlSvYtGkTUlJS0KNHDzRp0gTfffcdYmNjNVUfEVGdtf7sA4TFpcPV2gR/vPEMmrlaSV0SERERaZDaYWzu3LmwtrbGkCFDsGPHDjx8+BDjx4/HypUr4e7ujhEjRmD//v2arJWIqNZRKAXOhibgXGg8zoYmQKEUqnmz+jXCq109sW3KM/C0N5OwSiIiIqoOVQpjpqamqsdOTk748MMPcefOHRw4cACmpqYYMWIEPDw8EBgYqJFiiYhqk/03ItHl68MIWHUWK0+EImDVWXT48hD+uvYEAKCvJ8fHg/w4fD0REVEtVaXTFEujp6cHmUwGIQQePnyIzz//vDp2Q0Sks/bfiMSUDZcQmZylmiYAxKXl4K3fLmPf9SfSFUdEREQ1Qu0wNnHiRKSmpqoex8bG4ttvv0WTJk3QrVs3rF+/HtnZ2ejfvz+2bt2qkWKJiGoDhVIgcM9NiELTErJR5HHgnptFTlkkIiKi2kftmz6vXbsWX375JU6cOIHVq1fjzz//RF5eHoQQcHNzw8SJEzFx4kTUr19fk/USEem8oLCEYkfEIjOK/m8sKiUbQWEJ6OTN0ROJiIhqK7XDmBACLVu2RFxcHIQQ0NfXx3PPPYdXX30V/fv3h1xeLWdAEhHpvJjUrCKPBWSq76D6vvhyREREVLuoHcaA/FMTvby8MHnyZEyYMAHOzs6aqouIqNZytCg+IIedkSh2qmJJyxEREVHtUaUwtnPnTjz33HOaqoWIqE7w97SFi5VxoVMVBZxMBBKzZapjY85WxvD3tJWwSiIiIqpuap9L2K1bNzz77LOarIWIqE7Qk8swd4if6oREGQCZ7L/vAWDuED/oyWUlrE1ERES1hdph7MiRI7C2ti53ucTERPTs2VPd3RAR1So3n6TgYUIG+jdzwYqANnCxMkbhyOVsZYwVAW3Qv5mLZDUSERFRzajSaYoVkZOTg2PHjlX3boiItF5obBpeXn0OBnpybHqtI/o3c0EfP2ecC41HbEw0HByd0MHLjkfEiIiI6ogKh7Gvv/4aGzduxHvvvYdx48bBy8urQuspFAq1iyMiqi0eJ2UiYNU5xKfnoGk9S9iZGwLIP2Wxo5ctYszz4OhoCzmDGBERUZ1R4TD2zTffIDExET/++CPGjRuH8PDwCu9EJuOHCyKqu+LSsvHyqnN4kpwFbwczrJvoD0tjA6nLIiIiIolVOIxt3rwZO3fuxKRJk1TTzp8/D3t7+zLXi4mJQceOHdWvkIhIhyVn5mLc6iCExqXD1doEGyZ3gJ25kdRlERERkRaocBjr3bs3evfuXWSau7s7HB0dy1zP2NgYQogylyEiqo0ycvIwac153IxMgb25ETZM7gAXKxOpyyIiIiItofYAHkqlskLLOTk5VXhZIqLaJDNHgYwcBSyN9bF+kj887c2kLomIiIi0iNpD269btw7Z2dmlzo+JiYGzszNeeuklxMbGqrsbIiKdZWduhE2vdcRvr3ZEExdLqcshIiIiLaN2GHvllVeQnJxc6nwzMzOMGjUKx48fx7Rp09TdDRGRTlEqBYLCElSPrUwM0MzVSsKKiIiISFupHcbKuw7MzMwM33//PbZt24Z//vlH3d0QEekMIQTm7b2FF386g19OhkldDhEREWk5tcMYULEh6w0MDJCUlFSV3RAR6YSlh+9j9b8hzMJY7UtyiYiIqI6o8KeFXbt2YdeuXUWmvfPOOzAxKX1ksPT0dJw8eRK+vr7qV0hEpAN+PRWGhQfvAgA+HeyHke3cJa6IiIiItF2Fw9iVK1ewZs2aItM2b95c7nqGhoZYvnx5pQsjItIVWy8+QuCemwCA6b19MbGLp8QVERERkS6ocBgbOnQoGjRoACD/uohJkyZh0aJFsLIq+cJ0uVwOa2trdOzYEQ4ODhoplohI2+y/EYlZW68CACZ18cQ7vXwkroiIiIh0RYXDWMuWLdGyZUvV44kTJ2L06NHl3vSZiKg2uxudBqUAXmznhjmDmlToWloiIiIioAo3fQ4LC4O9vb0mayEi0jnv9GoIPxdL9GjsyCBGRERElaL2aIoeHh6Qy0tfPTMzU91NExFptdDYNGTmKFSPe/s5QU/OIEZERESVo3YYi4yMRNu2bdGmTRt069at2PwXXngBzz33HB49elSlAomItElYXDpe/OksXl59DsmZuVKXQ0RERDpM7TC2bt06XL58GXl5eRg6dGix+cOHD8fNmzfh7++PJ0+eVKVGIiKtEJmciYBV5xCXlo2MQkfGiIiIiNShdhg7cOAA+vfvj4sXL2L69OnF5k+ePBlXr16Fj48PvvzyyyoVSUQktfi0bASsOofHSZnwsjfDukn+sDIxkLosIiIi0mFqh7Hr16/jww8/hIFB6R9GzMzMMHfuXBw8eFDd3RARSS4lKxfjfw1CSGw66lkZY/3kDrA3N5K6LCIiItJxaoex5ORk1X3HytKwYUM8fPhQ3d0Ucfr0aTRq1AgymQzh4eEa2SYA7N69GzKZTOPbJSLdl5mjwOQ1F3DjcQrszAyxfnIHuFqbSF0WERER1QJqhzE7OzuEhYWVu1xoaCgsLS3V3Q2A/JEZZ86ciWeffRZ3796t0raelpycjClTpmh0m0RUezxOysC9mFRYGOtj7UR/eDuYS10SERER1RJqh7EuXbrgww8/RHp6eqnLpKWl4eOPP0bXrl3V3Q1CQkLQqlUrbNu2Dfv27VN7O6V57733oK+v9u3WiKiW83G0wJbXO2HNK+3RzNVK6nKIiIioFlE7hcycORNdunRBo0aNMH78eLRv3x4ODg4AgNjYWAQFBWHt2rWIiYnByZMn1S4wODgYvXr1wjfffANzc83+R/rIkSNYvXo19u7diwEDBmh020Sku4QQiEjIgIedGQCgoZOFxBURERFRbaR2GOvYsSOWLFmCd999F1999VWJy8hkMixduhQdOnRQu8BBgwbhueeeU3v90mRmZuLVV1/F2LFj0b9/f41vn4h0kxACX+27jfVnH+Dnce3Q2cde6pKIiIiollL7NEUAePPNN3H8+HEMGjQIJiYmEEJACAETExMMHjwYJ0+erPL1WHp6elVavzSffPIJUlJSsHjx4mrZPhHpph+OhuCn46HIyFHgcWKm1OUQERFRLVbli6U6deqE3bt3Q6lUIi4uDgBgb28PubxKOa9aXbhwAYsXL8b69ethZ2cndTlEpCXWnwnHtwfuAADmDGqCF9u7S1wRERER1WYaG7lCLpfD0dFRU5urNrm5uZg0aRL69++PMWPGqL2d7OxsZGdnqx6npKQAAJRKJZRKZZXrrAqlUgkhhOR16CL2Tn263rudlx/jk13BAIC3e3hjYucGNfZcdL13UmP/1MfeqY+9Ux97pz5t753U9Um9/6drqQiNhLETJ07g1KlTePz4MebOnQt7e3ucPHkSnTp1qrbTDNX11VdfISwsDH/++WeVtjN//nwEBgYWmx4bG4usrKwqbbuqlEolkpOTIYTQ6iOU2oi9U58u9+54SBJm/xkCABjZygEvtbBCTExMje1fl3unDdg/9bF36mPv1MfeqU/beyd1fVLvv7DU1NQKLVelMBYcHIyAgABcu3ZNNW369Omwt7fH22+/jZiYGGzduhWdOnWqym405tatW5g3bx4WLlwId/eqnX40e/ZszJgxQ/U4JSUF7u7ucHBwqPJ91apKqVRCJpPBwcFB8heirmHv1KfLvTt66DEUAnihtSvmD28OuVxWo/vX5d5pA/ZPfeyd+tg79bF36tP23kldn9T7L8zY2LhCy6kdxp48eYKePXsiNjYW9erVg6enJ86dO6eav2zZMgQGBqJPnz64fPkyGjZsqO6uNEKpVGLSpElo3769Rm7ybGRkBCMjo2LT5XK55D98IH8kS22pRdewd+rT1d59P6Y12p99gJc7ekBfT5radbV32oL9Ux97pz72Tn3snfq0vXdS1yf1/gtUdP9qVzl//nxkZ2dj165dePToEU6cOFEknHTu3BkHDhxAjx498PXXX6u7G415+PAhzpw5g6CgIFhYWMDc3LzIV4GmTZuqpp04cULCiomoOsWkZEEIAQAw0JPjlc6ekgUxIiIiqpvUPjK2b98+fPfddxgyZEipy8hkMrz//vt49dVX1d2Nxri6uuLevXulzi84crd37164urqq1iGi2iciPgMjfjyN3n5O+OL5ZtCr4dMSiYiIiIAqhLHHjx+ja9eu5S7n6emJR48eqbsbjdHX14ePj0+5y3l4eKBBgwbVXxARSSI6JQtjV59FTGo2LoYnIj0nD5bGBlKXRURERHWQ2ufkmJqaIjY2ttzlQkNDYWpqqu5u1LJ//374+Phg6tSpNbpfItJuiek5CFh1Dg8TMuFhZ4r1k/wZxIiIiEgyaoextm3bYt68eaprLkqSl5eHzz//HP7+/uruBkD+cPFRUVGIiooqc1qBZcuWISQkBMuXL0d8fHyp201OTi51uwkJCVWqmYi0S2pWLsb/GoR7MWlwtjTGhkkd4GhZsZGOiIiIiKqD2qcpTp06FUOHDkWrVq3wzjvvoG3bthBCIDo6Gunp6QgKCsLSpUtx/fp17N27t0pFtm/fHg8ePCgyrXDAezoQBgQE4MSJE+jXrx/s7OxK3e67776LtWvXlrjdbt264ejRo1Wqm4i0Q1auApPXXsC1R8mwMTXAhsn+cLet2SP2RERERE9TO4w999xzmD59OhYtWoTXXntNNb1Lly6q74UQ+OCDD9CvX78qFRkeHl6p5UePHo3Ro0eXu9yaNWuwZs0a9YoiIp1x6UEiLjxIhLmRPtZN7AAfRwupSyIiIiJS/zRFAPjuu+/w22+/wc/PD0KIIl/NmjXD5s2bMX/+fE3VSkSklmd87PFjQFusGt8Ozd2spC6HiIiICEAVjowVKDgKFRUVhYiICABA/fr14ezsXOXiiIjUJYRASmYerEzzB+jo4+ckcUVERERERVU5jBVwdnZmACMirfHtgTv481okNk7uwOvDiIiISCtpLIwREWmLFUdD8MPREADAubAEhjEiIiLSShUOYzExMTh58iR69+4NS0tLrFu3rtI7MzExQevWrSt082UiInVsPPcAX++/DQD4cEBjjGjrJnFFRERERCWrcBjr3LkzQkND0b9/f/z111+YMGECZDKZWjsdM2YM1qxZA319HpgjIs3ZffUJ5uy8AQB4s7s33ujmLXFFRERERKWrcBpq2LAhQkJCihzVGjlyJExMTCq8s4yMDAQHB+O3336Dj48PPvvss0oVS0RUmsO3ozFj8xUIAQR0rI/3+zWSuiQiIiKiMlU4jO3duxdxcXGwt7dXTVuyZAkcHR0rvdN58+bhl19+YRgjIo1QKgUWHryLPKXA863q4fPnmql95J6IiIioplTqPmOFg9gHH3wAc3NztXY6ZswYPH78WK11iYieJpfLsPYVf7z+rBcWjGwJuZxBjIiIiLSf2hdtVeVmzhcuXCgS7IiI1JGZo4CJoR4AwM7cCLMHNpG4IiIiIqKK08gIGjExMTh16hQePXoEAHBzc0Pnzp2LncIYGRmJadOmYffu3Xjuuec0sWsiqqMeJmRg1E9n8E6vhhjtX1/qcoiIiIgqrUphLD4+HtOnT8fvv/8OhUJRZJ6enh5Gjx6NRYsWwc7ODgAgl8vh5+cHPz8/DBs2rCq7JqI6LCYlCwGrz+FJchZ+ORWGYW1cYaSvJ3VZRERERJWidhhLSEhAly5dcOfOHQCAkZER7OzsIIRAQkICsrOzsWHDBly4cAGnTp2CjY0NnJycMHfuXI0VT0R1T1JGDl5eHYQH8RlwtzXBuokdGMSIiIhIJ1VqAI/C5s6dizt37uDVV1/F1atXkZGRgUePHuHx48fIyMjAlStXMHnyZNy+fZsBjIg0Ij07DxN+PY870alwtDDCxkkd4WxlLHVZRERERGpR+8jYzp078eGHH+LLL78sNk8mk6FFixZYuXIlbG1tsWHDBixZsqRKhRJR3ZaVq8Br6y/gysMkWJsaYP2kDqhvZyp1WURERERqU/vIWFxcHCZMmFDuchMnTkRcXJy6uyEiAgDsufoEp+7Hw8xQD2te8UcjZwupSyIiIiKqErWPjLm6ulbopqoymUytG0MTERU2oq0bolOy0Ka+DVq5W0tdDhEREVGVqX1kbMyYMfj999/LXe7333/H4MGD1d0NEdVhQgjkKpQA8v+xM7VnQzzjw3sUEhERUe2gdhibM2cOTp8+jVmzZuHBgwfF5oeHh2PWrFn4448/8MUXX1SpSCKqmxYdvIuJa84jIydP6lKIiIiINK5Cpyl6eXmVOF2pVOLvv//Gd999B2NjYzg4OADIvwl0dnY2AMDR0RH+/v4ICQnRUMlEVBf8fDwUSw7fBwAcuR2LQS1cJK6IiIiISLMqFMbCw8PLXSYzMxMRERHFpkdHR1fo2jIiogKbz0dg3t5bAID3+zViECMiIqJaqUJhTCaTISgoCPb2lb9WIyYmBh07dqz0ekRUN/11LRKzt18HALzezQtvdveWuCIiIiKi6lGhMCaEgLu7u1qjIhobG0MIUen1iKjuOXonBtM2X4ZSAGP86+PD/o15ZJ2IiIhqrQqFscTERFhZWam1AycnJyQmJqq1LhHVHVm5Cszaeg25CoHBLVzwv6HNGMSIiIioVqvQaIrqBjFNrU9EtZ+xgR5+mdAeL7RxxcIXW0FPziBGREREtZvaQ9vv3LkTY8eOhbe3NywsLGBhYQEfHx+MGzcOf/75pyZrJKJaTKn87zTmZq5WWPhiKxjqq/2riYiIiEhnVOg0xcLCw8Px4osv4uLFiwBQ5Hqw0NBQhIWFYePGjejcuTM2b94MFxeOgkZEJXuclIlJa85j3rBmaOthK3U5RERERDWqUmEsLCwMHTt2RGxsLIyNjdGhQwc0adIE1tbWAICkpCTcunULQUFBOHnyJDp27IhTp07Bzc2tOmonIh0Wm5qNl1edQ2hcOj7bfRO7p3bmNWJERERUp1Q4jAkhMHz4cKSnp+Prr7/GG2+8AQsLixKXTU1NxY8//ojAwEC8+OKLOH36tMYKJiLdl5yZi3G/BCE0Lh2u1iZYOa4tgxgRERHVORW+MOOPP/7AjRs3sG/fPrz//vulBjEAsLCwwPvvv4/9+/fj4sWL2LFjh0aKJSLdl5GTh4lrzuNWZArszY2wcXIHuFiZSF0WERERUY2rcBjbunUrXnvtNXTt2rXCG+/SpQtee+01bNq0Sa3iiKh2yc5T4PX1F3HxQSIsjfWxfpI/GtibSV0WERERkSQqHMaCgoIwcuTISu9gxIgRCAoKqvR6RFT7/Hw8FCfuxcHUUA9rJvqjiYul1CURERERSabC14zFxMTA09Oz0jto0KABYmJiKr0eEdU+k7t64XZUKka3r4829W2kLoeIiIhIUhUOYwYGBsjJyan0DnJzc2FgYFDp9Yiodii4/YVMJoOxgR6WvdRG4oqIiIiItEOFT1N0dXVFcHBwpXcQHBzMoe2J6rClh+9j/r7bRe5JSERERESVCGPdunXDqlWrKr2DVatWoVu3bpVej4h036+nwrDw4F2sPB6K0yHxUpdDREREpFUqHMZeffVV/PXXX1i0aFGFN7548WLs3bsXkydPVqs4ItJdWy8+QuCemwCA6b190dnHXuKKiIiIiLRLhcNYmzZtMGnSJLz33nt47rnncOTIESgUimLLKRQKHDlyBM8//zxmzpyJV155BW3a8BoRotpMoRQ4G5qAc6HxOBuagL3XIjFr61UAwKQunninl4/EFRIRERFpnwoP4AEAy5Ytw6NHj/Dnn3/ir7/+gqGhIby9vWFtbQ0ASEpKQkhICHJyciCEQJ8+fbB8+fLqqJuItMT+G5EI3HMT0cmZaGIjcDMxDAIyAMCL7dwwZ1ATyGQyiaskIiIi0j6VCmNGRkb4888/8dlnn2HhwoXIzMzEzZs3iy1nYmKC6dOnIzAwEHp6ehorloi0y/4bkZiy4RIE8g+z5ymBwsN0dPd1YBAjIiIiKkWlwhgA6Onp4YsvvsA777yD3bt34/Tp04iOjgYAODk5oVOnTnjuuefg6Oio8WKJSHsolAKBe24WCV/6ckCG/wLZF3/dQr9mLtCTM5ARERERPa3SYayAg4MDJk2ahEmTJmmyHiLSEUFhCYhMzio2vXAYi0zOQlBYAjp529VobURERES6oMIDeBARFRaTWjSIlXYXsaeXIyIiIqJ8DGNEpBZHC+MijwWAku7r/PRyRERERJSPYYyI1OLvaQtzo/8G6JEBKDxWhwyAi5Ux/D1ta7w2IiIiIl3AMEZEavnreiTSsv+712DhIToKvp87xI+DdxARERGVgmGMiCrtysMkvP9H/k2d+zRxhItV0VMRna2MsSKgDfo3c5GiPCIiIiKdoPZoikRUNz1JysSr6y4gO0+JXo0d8ePL7QAA50LjERsTDQdHJ3TwsuMRMSIiIqJyMIwRUaUohYCtqSHszAzx/ZjWqtDV0csWMeZ5cHS0hZxBjIiIiKhcDGNEVCluNqbY9uYzSMvKg7kRf4UQERERqYvXjBFRhdyPSVN9b26kD2crDllPREREVBUMY0RUrm0XH6HPomP46ViI1KUQERER1RoMY0RUpgvhCZi9/TqEAFKz8qQuh4iIiKjWYBgjolI9TMjA6+svIkehxIBmzpjRx1fqkoiIiIhqDYYxIipRalYuJq+9gPj0HDRztcR3L7bkKIlEREREGsQwRkTFKJQC7/5+BXeiU+FoYYRV49rD1JAjJxIRERFpEsMYERVz8GY0Dt+OgZG+HKvGt+PIiURERETVgP/qJqJi+jdzxhfPN4WNmSFauFlLXQ4RERFRrcQwRkQlerlTA6lLICIiIqrVeJoiEQEAwuPS8ebGi0jKyJG6FCIiIqI6gUfGiAjJGbmYuPY8QmPTYaAnx/ejW0tdEhEREVGtxyNjRHVcrkKJt367hNDYdNSzMsbHg5pIXRIRERFRncAwRlTHfb7nJk7ej4OpoR5+Ht8OjhYcOZGIiIioJjCMEdVh686EY/3ZB5DJgEWjWqFpPSupSyIiIiKqMxjGiOqo43djEbjnJgBgVr/G6NfUWeKKiIiIiOoWDuBBVEc5WRrDxcoY/p62eKObl9TlEBEREdU5DGNEdVQjZwvsntoFZkZ6kMlkUpdDREREVOfwNEWiOiQnT4nrj5JVj23NDGGkrydhRURERER1F8MYUR0hhMAnO2/ghRWnsP3SI6nLISIiIqrzeJoiUR2x+mQYNl94CLkMsDE1lLocIiIiojqPR8aI6oB/bkVj3t5bAICPB/mhR2NHiSsiIiIiIoYxolrudlQK3tl0GUIAY/zrY2LnBlKXRERERERgGCOq1eLSsjFpzQWk5yjQycsOnz/flCMnEhEREWkJhjGiWmzTuQg8TsqEp70ZVgS0gYEe3/JERERE2oIDeBDVYlN7+kBPT4Z+TZ1hzUE7iIiIiLQKwxhRLSaTyfBmdx+pyyAiIiKiEvCcJaJaZv+NSLy18RIycvKkLoWIiIiIysAjY0S1yI3HyZi++SoycxVo4WaF17t5S10SEREREZWCR8aIaonolCxMXnsBmbkKPOvrgEldPKUuiYiIiIjKwDBGVAtk5ijw6roLiErJgo+jOZa91Br6HDmRiIiISKvx0xqRjhNC4L2tV3HtUTJsTA2wenw7WBobSF0WEREREZVDp8LY6dOn0ahRI8hkMoSHh0tdDpFWWPLPffx1LRIGejL8GNAWHnZmUpdERERERBWgE2EsMzMTM2fOxLPPPou7d+9WaVupqan46aefMHDgQDg7O8PAwADW1tbo1KkTFi5ciKysLA1VTVQzujS0g725IeYNbY4OXnZSl0NEREREFaT1YSwkJAStWrXCtm3bsG/fviptKz09HR4eHnjjjTdgZWWFLVu24M6dO9ixYwcsLS0xc+ZM+Pv7IyYmRkPVE1W/th62+Gdmd7zY3l3qUoiIiIioErR+aPvg4GD06tUL33zzDczNzau0rdzcXCQmJuKFF17Apk2bVNO9vLzQrVs3dOrUCUFBQZg+fTo2btxY1dKJqs2TpEwkZeTCr54lAMDKhNeIEREREekarT8yNmjQIPzwww9VDmKFTZo0qdg0uVyOyZMnAwC2b98OhUKhsf0RaVJ6dh4mr72AET+exsl7cVKXQ0RERERq0vojY3p6ehrblpWVFRITE2FpaVnifDc3NwBAVlYWMjIyYGFhobF9E2mCUikwffMV3IxMgb25IRrYm0pdEhERERGpSevDmCbJZDJYW1uXOj8yMhIA4OHhwSBGWunbv+/g75vRMNST46eX28HNhmGMiIiISFfVqTBWnr179wIA3nrrrXKXzc7ORnZ2tupxSkoKAECpVEKpVFZPgRWkVCohhJC8Dl2kzb3bfukxVhwNAQB89UIztHa30qo6tbl32o69qxr2T33snfrYO/Wxd+rT9t5JXZ/U+3+6lopgGPtXcHAwdu/ejdatW+Odd94pd/n58+cjMDCw2PTY2FjJh8dXKpVITk6GEAJyudZfFqhVtLV3Vx6nYfaO/Ns6jG/vjGdcDbRu1E9t7Z0uYO+qhv1TH3unPvZOfeyd+rS9d1LXJ/X+C0tNTa3QcgxjyL+P2bhx42BtbY0tW7bAyMio3HVmz56NGTNmqB6npKTA3d0dDg4OpV6TVlOUSiVkMhkcHBwkfyHqGm3t3b6jkchVCPRr6oRPnm8FuVwmdUnFaGvvdAF7VzXsn/rYO/Wxd+pj79Sn7b2Tuj6p91+YsbFxhZar82EsLy8PL774IsLCwnDkyBH4+PhUaD0jI6MSQ5tcLpf8hw/kXx+nLbXoGm3s3XcjW6KJiyXGdfKAvr7mBrXRNG3sna5g76qG/VMfe6c+9k597J36tL13Utcn9f4LVHT/dTqM5ebmYuzYsQgKCsKRI0fQsmVLqUsiUlEqBWSy/F8q+npyvNHNW+qSiIiIiEiD6mwYy8rKwsiRI3Hp0iUcO3YMjRs3lrokoiLm7b2FjBwFPn++KQz0tPO/X0RERESkvjr5CS8jIwODBw/G9evXceLEiWJBrH///rh27ZpE1REBm4IisPpkGDYFRSAoLEHqcoiIiIioGtTKMLZ//374+Phg6tSpxealpKSgX79+iIiIwIkTJ+Dl5VVsmQMHDiAhgR+ASRqnQ+Lwyc4bAIAZfXzR2cde4oqIiIiIqDroxGmKsbGxUCgUxaYVjFLi7OxcZN6yZcsQEhKC5cuXIzAwEHZ2dgDyh5js3bs3zp8/Dy8vLwwbNqxmngBRBYXFpWPKhkvIUwo817Ie3u5ZsQFliIiIiEj36EQYa9++PR48eFBkmr+/v+p7IUSReQEBAThx4gT69eunCmIAEBISgvPnzwMAQkNDq7FiospLzsjFpDXnkZyZi1bu1vhmRAvIZNo3hD0RERERaYZOhLHw8PBKLT969GiMHj262PRWrVoVC25E2kAIgbd/v4zQuHTUszLGynFtYWygvUPYExEREVHV1cprxoh0jUwmwyvPNICjhRFWjW8PR4uK3SiQiIiIiHSXThwZI6oLejR2xPFZPXhEjIiIiKiO4JExIgmdDY3Hg/h01WMGMSIiIqK6g2GMSCL3Y1Lx6toLGLr8FO5Gp0pdDhERERHVMIYxIgkkpudg4poLSM3Og4+jOTzsTKUuiYiIiIhqGMMYUQ3LyVPi9Q0XEZGQAXdbE/wY0BZG+jw9kYiIiKiuYRgjqkFCCMzZeR1BYQkwN9LH6vHtYWduJHVZRERERCQBhjGiGrTqRBi2XHgEuQxY+lJr+DpZSF0SEREREUmEYYyohuQplNgfHAUAmDPIDz0aOUpcERERERFJifcZI6oh+npybJzcAbuvPsHItm5Sl0NEREREEuORMaJqlpOnVH1vbKCHF9u5QyaTSVgREREREWkDhjGiapSVq8CYn89iwYE7UCqF1OUQERERkRZhGCOqJkIIzN5+HRcfJGLdmXBE/r+9+w6PolzbAH5POiGdJJAASTCAIYAQelGkCgIC6gEpERClSJcmTaogyEGxoJ7zCQRFkGIBPYjSVUB6rwqhCEmAhIRAevb5/og77CYBwqTMZvf+XRfXlcy8O/Pk4d2dfaa87+00vUMiIiIiIgvCYoyomHyy4zy+O3wV9nYKPulTHxW9yugdEhERERFZEBZjRMVg04kYLPj5LABgZpeaeLKar84REREREZGlYTFGVMROXE3CG6uPAgD6NwtBZJNgnSMiIiIiIkvEYoyoCKVkZGHgFweQmpmNFtX9MLVTDb1DIiIiIiILxWKMqAi5OjlgQofHUTPQAx/3joCDPd9iRERERJQ/TvpMVMSej6iELnUqwt6Oc4kRERER0f3xtD1REVi9/zKuJ98bup6FGBERERE9DIsxokJaf+Qq3vzmOLp9vAtJKZl6h0NEREREpQSLMaJCOHz5FsavOwYA6FwnEJ6ujjpHRERERESlBYsxIo2uJaZi4BcHkZFlQNsa/nizQ5jeIRERERFRKcJijEiDu+lZeHX5Ady8k46wCu5Y1DOCz4kRERER0SNhMUb0iAwGwejVR3A65jZ83Zzweb8GcHPmwKRERERE9GhYjBE9ooSUDETfvAsnBzv85+UGqOTtqndIRERERFQK8XQ+0SPydXPGt0Ob4diVJNQP9tY7HCIiIiIqpXhljKiA7qRnqT97uDjiyWq+OkZDRERERKUdizGiAriSkIJW/96BJb9HQ0T0DoeIiIiIrACLMaKHSE7LxKvL9+NGcjq+O/w3MrINeodERERERFaAxRjRA2QbBCNXHca5uDvwd3fG530bwtnBXu+wiIiIiMgKsBgjeoC5G09j+9kbcHG0w+f9GqCCp4veIRERERGRleBoikT/yDYI9l5IwI3r8fC744Do+LtY8ns0AGBh97p4opKXvgESERERkVVhMUYEYNOJGMz84RTiklJRw1tw6lY0BAoAYEy76uj0RIDOERIRERGRtWExRjZv04kYvL7iEAT537dbzb9sSYdERERERDaAz4yRTcs2CGb+cAq5B6tXTH6e9eNpZBs4nD0RERERFS0WY2TT9kUnICYpTf3dACA7V90Vk5SGfdEJJRsYEREREVk93qZINu16clquJQouJiPPlbK87YiIiIiICodXxsim+bvnHare10XMblO8XzsiIiIiosJgMUY2rVEVH/i5OZksEXia/KoACPB0QaMqPiUdGhERERFZORZjZNMysgxwcrBXfze9Imb8efpz4bC3y32tjIiIiIiocFiMkc0SEUz5/jiuJqbC3dkB/u7OZsVYBU8XfBpZDx1qcY4xIiIiIip6HMCDbNbNOxnYcz4edgrwn5fro/Fj5bD3QjxuXI+Dn395NH6sHK+IEREREVGxYTFGNsvP3Rk/jngSey7Eo1lVXwBAk8d8cN0tC/7+PrBjIUZERERExYi3KZLNEbk3cH05N2d0fiJQx2iIiIiIyFaxGCObkm0QDPryIL45+LfeoRARERGRjeNtimRTFm05h82n4vD7nzfxZDVflPfg/GFEREREpA9eGSObsfV0HD7a9hcA4J0XarMQIyIiIiJdsRgjm3A5PgVvrD4CAOjbNBjdIirqGxARERER2TwWY2T10jKzMWTFQdxOy0JEkBemdgrXOyQiIiIiIhZjZN1EBFO/P4FTMbdRrqwTPulTD04O7PZEREREpD9+KyWrJgIEeLrAwU7BR70iEOBZRu+QiIiIiIgAcDRFsnJ2dgrGPvM4utevjKByrnqHQ0RERESk4pUxskpJqZlIy8xWf2chRkRERESWhsUYWZ1sg2D4ykPo8Z89+PtWit7hEBERERHli7cpktX5YMs5/PbnTbg42uFOepbe4RARERER5YtXxsiqbDsThw9NJnYOq+Chc0RERERERPljMUZW43J8CkZ/fQQA8HKTYDwfUUnfgIiIiIiIHoDFGFkF04md61b2wtTONfQOiYiIiIjogViMkVWY99MZnIq5DZ9/JnZ2drDXOyQiIiIiogfiAB5kFV59sgoOX76FCR3CEOjFiZ2JiIiIyPKxGCOrUNnHFd8NbQ47O0XvUIiIiIiICoS3KVKpdetuBn49d0P9nYUYEREREZUmLMaoVMo2CEavPoJ+y/bhiz0X9Q6HiIiIiOiRsRijUunDrX9i57kbcHawQ8MQH73DISIiIiJ6ZCzGqNTZfvY6Ptz2JwBg7vO1USOAEzsTERERUenDYoxKlSsJORM7iwCRTYLwQj1O7ExEREREpROLMSo10jKz8fpXB5GUmok6lb3wVudwvUMiIiIiItKMxRiVGj+diMGJq7fh7eqITzmxMxERERGVcpxnjEqN5yMqITNbEODpwomdiYiIiKjUYzFGpUqPBpX1DoGIiIiIqEjwNkWyaIkpGZiw7igS7mboHQoRERERUZFiMUYWy/DPxM5rDvyNYV8d0jscIiIiIqIixWKMLNaH2/7EjrM5EztP7VxD73CIiIiIiIoUizGySDvOXscHW3Mmdp7zfG3UDPTUOSIiIiIioqLFYowszpWEFIz6Z2Ln3o2D8K/6nNiZiIiIiKwPizGyKGmZ2Rj61aGciZ0reWL6c5zYmYiIiIisE4sxsig3ktNxOy0T3q6O+CSyPid2JiIiIiKrxXnGyKJU9nHFhuFP4uLNu6jIiZ2JiIiIyIrxyhhZhMxsg/qzZxlH1KnspV8wREREREQloFQVY7t378bjjz8ORVFw8eJFvcOhIpKUkon2i37Fl3suQkT0DoeIiIiIqESUimIsNTUVY8eORYsWLXDu3Lki2ebZs2cRGRmJgIAAuLi4IDQ0FOPHj0dSUlKRbJ8KJmdi58O4cOMu/vvbBaRkZOsdEhERERFRibD4Yuz8+fOoW7cuvvnmG/z0009Fss0dO3YgIiICBw4cQFRUFE6fPo2pU6fis88+Q7169RATE1Mk+6GH+3j7X9j+z8TOn0XWR1lnPsZIRERERLbB4r/5njx5Em3atMG7774LNze3Qm8vMTER3bt3h4hg48aNeOyxxwAAVapUgbOzM/r06YO+ffti8+bNhd4XPdjOczfw/pacK52zu9XixM5EREREZFMs/spYp06d8MknnxRJIQYAH330EW7evImuXbuqhZhRz549ERgYiC1btmDXrl1Fsj/K39+3UjDq68MQAXo1qoweDSrrHRIRERERUYmy+GLM3r5o55lau3YtAKBNmzZ51tnZ2aF169YAgNWrVxfpfume9KyciZ0TUzJRu6Inpj9XU++QiIiIiIhKnMUXY0Xp7t27OHnyJAAgLCws3zbG5fv37y+xuGyNo50dnq0VAF83J3waWQ8ujpzYmYiIiIhsj8U/M1aUoqOjYTDkzGdVoUKFfNsEBAQAyBk4hIqHnZ2C11uGIrJJENxdHPUOh4iIiIhIFzZVjN2+fVv9uUyZMvm2cXV1BYCHDnGfnp6O9PT0PNs2GAxqwacXg8EAEdE9jtwuxt+Fv7szXJ1yul1ZJ3uLi9FSc1caMHfaMXeFw/xpx9xpx9xpx9xpZ+m50zs+vfefO5aCsKlirCi98847mDlzZp7lN27cQFpamg4R3WMwGJCUlAQRgZ2dZdyJejstC/1XnkYZRzss6FIVgZ7OeoeUL0vMXWnB3GnH3BUO86cdc6cdc6cdc6edpedO7/j03r+p5OTkArWzqWLMw8ND/Tk1NTXfNikpKQAAT88HD7M+adIkjBkzRv399u3bqFy5Mvz8/Mz2oweDwQBFUeDn56d7R8yJRzDpy4O4djsDlbzLIKRieXi5OukdVr4sLXelCXOnHXNXOMyfdsyddsyddsyddpaeO73j03v/plxcXArUzqaKsSpVqkBRFIgIYmNjUa1atTxtjBM+h4aGPnBbzs7OcHbOe3XHzs5O9/98AFAUxWJiWbz9T2w/ewNO/0zs7ONWsM6pF0vKXWnD3GnH3BUO86cdc6cdc6cdc6edpedO7/j03r9RQfdvmf+LxaRs2bKoWTNnGPUzZ87k28a4vGHDhiUWlzX79dwNvPfPxM5vd62FWhU5sTMREREREWBjxRgAdO/eHQCwdevWPOsMBgO2bdtm1o60M53YuWfDyujRkBM7ExEREREZWWUxtmnTJlStWhXDhw/Ps27EiBEoV64c1q9fj+joaLN1X3/9Na5du4bWrVvjqaeeKqlwrdb09Sdx65+JnWd04cTORERERESmSkUxduPGDcTGxiI2NvaBy4w+/vhjnD9/HosXL0Z8fLzZOm9vb6xZswYA8Oyzz+KXX35BdHQ0li1bhsGDByMkJARffvll8f5BNmLO87XRJswfn/ThxM5ERERERLmVigE8GjZsiEuXLpkta9SokfqziJiti4yMxG+//Yb27dujXLlyebbXunVrHD58GLNmzULfvn1x69YtVKxYEYMGDcJbb70FLy+vYvk7bE0FTxcs6c9n74iIiIiI8lMqirGLFy8+UvuePXuiZ8+eD2wTFhaGlStXFiIqys+pa7dxMf4uOtYO0DsUIiIiIiKLVipuU6TSISk1E69/dRBDvzqENQeu6B0OEREREZFFYzFGRcJgEIxdcwSX4lNQ0asM2tUor3dIREREREQWjcUYFYlPd57HltPX1Ymdvcs66R0SEREREZFFYzFGhfb7nzex8JezAIBZXWqidiVO7ExERERE9DAsxqhQriWmYuTXh2EQoEeDSujZKEjvkIiIiIiISgUWY1QoW07HIeFuBmoGemBW11p6h0NEREREVGqUiqHtyXL1bRoCXzdn1K7oyYmdiYiIiIgeAYsxKjTOKUZERERE9Oh4myI9stMxt/Hykr24fjtN71CIiIiIiEotFmP0SJJSMzFkxUH89udNvPPTGb3DISIiIiIqtViMUYHlTOx8VJ3YeVrncL1DIiIiIiIqtViMUYHlTOwcByd7O3waWY8TOxMRERERFQKLMSqQXX/dm9h5ZteaeKKSl74BERERERGVcizG6KGuJaZixKqciZ2716+Eng0r6x0SEREREVGpx6Ht6aHSswzwKeuEAE8XzO5WC4qi6B0SEREREVGpx2KMHqqKb1msH9Yct9MyObEzEREREVER4W2KdF+37maoP5d1dkCAZxkdoyEiIiIisi4sxihfZ2Jv46l3t+OznechInqHQ0RERERkdViMUR630zIx5MuDuJOehV1/3YSBtRgRERERUZFjMUZmRATj1hzFxX8mdv6gZwTs7ThgBxERERFRUWMxRmY+23kBv5zKmdj5kz714MOJnYmIiIiIigWLMVLtPn8TC34+AwCY3iUcdSp76RsQEREREZEVYzFGAHJGThz5z8TOL9arhN6NgvQOiYiIiIjIqrEYIwCAl6sjRrSuhjqVPPE2J3YmIiIiIip2nPSZAACKoqBfsxBENgnmgB1ERERERCWAV8Zs3J7z8UhKzVR/ZyFGRERERFQyWIzZsLOxyRgQtR9dP/4dsUlpeodDRERERGRTWIzZqNtpmRiy4iBSM7NR2ccVfu7OeodERERERGRTWIzZIBHB+LVHEX3zLgI9XTixMxERERGRDliM2aD//HoBP5/8Z2LnyPqc2JmIiIiISAcsxmzM7vM38e6mnImdpz0Xjrqc2JmIiIiISBcsxmyIiOCdjWdgEOCFehXRpzEndiYiIiIi0guLMRuiKAqiXmmIvk2DMadbbU7sTERERESkI076bGPKuTljVtdaeodBRERERGTzeGXMBvx47BrWHriidxhERERERGSCV8as3Lm4ZIxfewypmdnwKOOI9jUr6B0SERERERGBxZjVyTYI9l5IwI3r8SibAMzZeAapmdloXrUc2tYor3d4RERERET0DxZjVmTTiRjM/OEU4pJSEeYlOJUYDUCBt6sjPuTEzkREREREFoXPjFmJTSdi8PqKQ4hJSgMAxKcDQE7xdSslE/svJugXHBERERER5cFizApkGwQzfzgF+ed3ARCXeu8qmAJg5g+nkG2Q/F5OREREREQ6YDFmBfZFJ6hXxO5RgH/KMwEQk5SGfdG8OkZEREREZClYjFmB68nmhZgCINjNgNxPiOVuR0RERERE+mExZgX83V3yLHNzRJ5iLL92RERERESkDxZjVqBRFR8EeLrkKb6MFAABni5oVMWnJMMiIiIiIqIHYDFmBeztFEx/LhxA3qthxt+nPxfOoe2JiIiIiCwIizEr0aFWAD6NrIcKnua3IlbwdMGnkfXQoVaATpEREREREVF+OOmzFelQKwDtwitg74V43LgeBz//8mj8WDleESMiIiIiskAsxqyMvZ2CJo/54LpbFvz9fWDHQoyIiIiIyCLxNkUiIiIiIiIdsBgjIiIiIiLSAYsxIiIiIiIiHbAYIyIiIiIi0gGLMSIiIiIiIh2wGCMiIiIiItIBizEiIiIiIiIdsBgjIiIiIiLSAYsxIiIiIiIiHbAYIyIiIiIi0gGLMSIiIiIiIh2wGCMiIiIiItIBizEiIiIiIiIdsBgjIiIiIiLSAYsxIiIiIiIiHbAYIyIiIiIi0gGLMSIiIiIiIh2wGCMiIiIiItIBizEiIiIiIiIdsBgjIiIiIiLSgYPeAVgLEQEA3L59W+dIAIPBgOTkZLi4uMDOjvX2o2DutGPutGPuCof5046504650465087Sc6d3fHrv35SxJjDWCPfDYqyIJCcnAwAqV66scyRERERERGQJkpOT4enped/1ijysXKMCMRgMuHbtGtzd3aEoiq6x3L59G5UrV8aVK1fg4eGhayylDXOnHXOnHXNXOMyfdsyddsyddsyddpaeO73j03v/pkQEycnJCAwMfOBVOl4ZKyJ2dnaoVKmS3mGY8fDw0L0jllbMnXbMnXbMXeEwf9oxd9oxd9oxd9pZeu70jk/v/Rs96IqYkeXdbEpERERERGQDWIwRERERERHpgMWYFXJ2dsb06dPh7OysdyilDnOnHXOnHXNXOMyfdsyddsyddsyddpaeO73j03v/WnAADyIiIiIiIh3wyhgREREREZEOWIwRERERERHpgMUYERERERGRDliMERERERER6YDFGBERERERkQ5YjBEREREREemAxRgREREREZUYg8GgdwgWg8WYjeM0c9oxd9oxd4XD/GnH3GnH3GnH3GnH3GlniblbtWoVLly4ADs7/UsQS8mPg94BUPETESiKAgC4fv06YmJiICLw9vZG5cqV1XWm7Sgv5k676Oho/P3337hz5w4CAwMRFBQEb29vvcOyaHzfFg3mTjvmTjvmTjseL7Sz9H43fvx4LFy4EMOHD8e///1vODk5lej+4+Pjce3aNWRlZcHb2xtBQUGWkR8hq2YwGNSfp02bJg0aNBBFUURRFHF0dJTu3btLVFSUjhGWDsyddpMmTZInnnhCzZ2iKNKoUSNZuHCh3qFZLL5viwZzpx1zpx1zpx2PF9pZer978803RVEUCQwMlN27d5f4/mfNmiVNmjRR8+Pk5CS9e/eWr776qsRjyY3FmI0YPHiwBAcHy0cffSRr166VCRMmSHh4uNopx4wZI4mJiXqHaZGYO+2GDBkiwcHBEhUVJTt27JCFCxfKM888o+bulVdekaNHj0p2drbeoVok9j3tmDvtmDvtmDvteLzQztL7nbEQCw4Olt9++01dbnrisTi9+uqrEhQUJPPmzZMlS5bIkCFDxMfHR83P5MmTSySO+2ExZgNWrFghoaGhcvToUbPlf/zxh4wfP17tjH379pXz58/rFKVlYu60+/bbb6Vq1apy4MABs+XR0dHy/vvvq7nr3LmzbN++XbKysnSK1DKx72nH3GnH3GnH3GnH44V2lt7vjIVYUFCQ/Prrr3nWp6enS3p6utmyoizS5s2bJ1WqVJFz586ZLV++fLk89dRTan5ef/11yczMLPL9FwSLMRswatQoad68uaSkpIiImJ1VSk5Olk8++UTtjJGRkRITEyMiJd8ZLRFzp920adOkdu3a6tm43Gczv/32WzV3HTt2lL179+oRpsVi39OOudOOudOOudOOxwvtLLnfGQuxkJCQPIXYtm3bZP78+dK2bVtp2bKlTJs2TdavX6+uL4r4rl69Ki1btpSpU6eKSE5uTAv51atXS82aNdX8jBw5skj3X1AsxqxYdna2ZGZmSp06daRBgwbqsvxERUWpnXHo0KElGaZFYu60M37QtW7dWoKDgyUhIUEMBkO+H2z/+9//1Nz17t1b7t69KyK2/eWEfU875k475k475k47Hi+0s/R+t2XLFlEURfz9/WX79u1m62bPni1hYWHi7+8v5cqVE0VRxM7OTlxdXWXu3Llqu8L+3+7fv1+cnJxk0aJFZstNtztmzBizZxTfeeedQu1TCxZjNuC5554TBweHhz4w+X//939qZ8zdcW0Vc6fdsGHDRFEU2bhxY551ph+EGzZsUHP31ltvlWSIFo19TzvmTjvmTjvmTjseL7Sz5H43ffp0qV69uhw4cEAtvOfMmSOVK1eWNWvWyKlTpyQ9PV0WL14sbdq0UeObP39+kez/u+++E0VR5IUXXpD4+HizdcbC9eeff5agoCAZPXq0KIoifn5+smXLliLZf0GxGLMBU6dOVS/tR0dH37ddRkaGzJw5UxRFkYiICLl48aLNnnEyYu60+/DDD0VRFKlVq5acPHkyz3rT/Pz3v/8VRVHE29tbDh06VJJhWiz2Pe2YO+2Yu0djfMZEhLkrDB4vtLPEfmd6K+DIkSOldu3asn37dtm8ebM0bdpUtm7dmuc1u3btkv79+6sF0c6dOwsdx/79+8XT01NCQ0Nlw4YNkpGRoa4zPqe2Zs0a6dixo1y4cEEGDRokdnZ2MnPmTBEpuauuLMasmLETHTt2TKpXry7e3t4yd+5cSUhIuO9rTp06JW3bthVFUYrkjVBaMXePxvQDy/hzYmKiNGvWTBwcHGTQoEFy5cqV+74+ISFBBgwYIIqiyLp164o9XkvGvqcdc6ed8csTc1cwK1asUH82FmTMXcHweFE0LP3zzvSWydGjR0udOnXk1VdflV69eklSUlK+7bZt2yZNmzYVRVHk008/LXQMSUlJ0qhRI1EURerUqSMbN26UW7duqeuzsrLk8ccfl/Hjx4uIyM6dO6VChQoSEhIi169fL/T+C0r/6a+p2Cj/TF5XtWpVtG3bFomJiViyZAnWr1+P5OTkfF9To0YNdO7cGQBw+PDhEotVT/KAGdiZu4JRTCZKNP7s6uqKLl26wNnZGd999x0+//xzxMbG5vt6b29vtGvXDgCwd+/e4g/YAiQnJ+Py5ct5lvN9W3Dr1q3DsWPH1N+Zu4Lbvn071q1bh5iYGACAvb09AOauICZOnIiXX34Zb775JgDAwcEBAHNXULmPFwaDgceLh8jve4olfd7lF5+dnR0yMzMBAO+//z6eeeYZLF26FFWrVoWHh4dZO+PrW7Vqha5duwIADh069MDvZw/bf3Z2Njw8PLB06VJUrFgRx44dwxtvvIFx48Zh3bp1WL16NcLDwxESEoJ3330XANCiRQt069YNN27cQHp6+qMloTBKrOyjYpGSkiLJyckikv/lVOOy69evq5MBhoWFyfLly/PMOWE8OxEfHy+Kosi8efOKOXrLkJSUJKdPn5YTJ07I2bNn1eXM3cPt2rVLPvvsMxk6dKisXLlSvQXAmI+EhAR54YUXRFEUqVixosycOVOuXr1qtg1jnrOzs8XFxUUmTJhQsn+EDuLi4sTLy0uee+45+euvv/KsZ997uLFjx4qiKDJ+/Hh1FDER5q4g5s6dKyEhIeroanfu3BER5q4gJkyYoD7X0rx5c3UQCeOVRebu/nbv3i1LliyRUaNGybJly/LcUsfjxf3FxcXJ0aNH5dChQ/nexql3v3tQfGlpaerPn332mWzatCnfbRjfQ9HR0epne1HsX0TkyJEjUqNGDbOBOtzc3KRXr17qle3U1FQRyXku0cPDQ44dO1bg/RcWi7FS7MaNG/Lkk0/K7Nmz1TddfgWZsYP//fffEhoaKoqiSLVq1WTRokXqB52xjcFgkIMHD0rlypVL/AFGPSxevFjatWsniqKIi4uLuLq6ygcffKB+uTMWF8xdXpMnT1a/0Bn/vf322+p64wd/XFyctGrVShRFkQoVKsjo0aPV+T6MucvMzJQ///xTQkNDbeK2k2XLlqk569WrV74FGd+392ccLrl8+fL5PrTO3N3fa6+9JiEhITJy5EiZOHGivPHGG2brmbv7M/a70NBQeeutt8Te3l6++eYbdT1zd3/jx4+XqlWriouLi/rZ17lzZ9m2bZuI3MsLjxd5zZo1Sxo3bmx2rO3Xr58sX77crJ1e/a4g8RkLnYL43//+J35+fvLjjz+qMRd2/yI535lXrlwpU6dOlU8//VTdfu59zJ8/X5544gmzIrK4sRgrhYydZvbs2epZkPfff7/ABVmtWrXULzL9+/fPU/1PnjxZatasKdeuXSvmv0RfgwYNksDAQOnUqZN06tRJva8490hDxrMmzN09r776qgQEBMjChQtlxYoVMmnSJDV3p06dUtsZ+11sbKx06tRJ7OzspEyZMtKyZUvZtWuX2TanTZsmVatWfeCzAtbCOESzp6enOkzzwwoy9r0cxi/EwcHB8ttvv6nLc3/umZ5IYe5yTJkyRR577LF8zxybMp5IYe7uyT1xbWpqqlSvXl26d+8u6enpas74ns1r8ODBUrFiRfn666/lyJEjsnTpUvH3988zzDqPF3m99tprEhQUJAsXLpSPP/5YJkyYIA4ODqIoinh5ecnrr79u1r6k+92jxGc6eMaDjBo1Sho1aiSxsbFFuv/7MX1mzWAwyMCBA2XUqFGSmZnJATzo4V566SXx8PAQDw8PqVSpkrz33nsFKshiY2OlV69e6oehu7u7jBkzRkaMGCEvv/yyeHl5yeHDh0vyTylxo0aNksDAQDlw4ID6AfHXX3/JyJEjRVEUcXJyMssBc3fP5MmTJTg4WI4fP262fMSIEaIoipw+fdpsufGD7ubNm/Lmm2+aTbDYvXt3eemll+TFF18UHx8fmxkZKzExUcLDw6V3797i6+sriqJInz59HliQxcTESM+ePW267+X+Qpxbenq6OkKWKb5vRc6ePSsdOnRQz4abjnZ269YtuXLlipw6dSrP8M/sd+YnAEz73fjx46VMmTJqQWA87vJ4cc/ChQulevXqeU4A/Oc//1FPSJkWVMaTnzxeiMybN0+Cg4Plzz//NFu+evVqiYiIUIuO559/3mx9SfU7LfGZfu6cPXtWoqKi1N/j4uJk/Pjx4u7uLkePHi2W/ecuCOPj49UrYGlpaTJ58mQJCAiQM2fOFCADRYfFWClkMBgkPT1dmjdvLtOnT5cRI0aIs7OzBAUFFfgKWVJSkmzYsEH69+8vvr6+4uDgII899pj07t37oWdNS7v169dLeHi4elbd9KzIzZs35aWXXhI7OzuzS9gizJ1IzjNiTZs2Ve/5NhgMav6mTp0qVapUkaysLLl586acP3/ebNQikZxnHI8dOybjxo2TiIgI8fX1ldq1a8vgwYPzFHHWLCEhQWrUqCGLFy+W/fv3i7e39wMLMuNts7bc94wTc+ZXiG3ZskXmzJkjzZs3l6ZNm8qkSZPku+++M2tjy7kTEfn++++lSpUqeZ7TiYqKkq5du4qvr6+4urpK48aNZcyYMWZtbDl3xmfETPud6ciTPj4+MnHixDzHW1s/XhgMBrl27Zo8/fTTMmDAAMnKylL/iYgcOnRI3NzcxNfXV27fvp3vNmz1eGHMXatWrWTatGkiklOkmhYy3333nQQGBprd7m6qOPtdYePLzs6W7OxsWbJkiZQvX14aNmwoXbp0kZYtW0pwcPBDi+yi2L9Iznt06dKlEhwcLB07dpSWLVuKr6+vLkU+i7FS6ty5c+Lo6Cj79++XmzdvyuDBg6VMmTIFKshyz9B+8+ZNuXLlimRlZZXoPbIlzZiLkSNHSkRERJ6HW41tvvjii/s+PGqruTOaPXu2lC9fPt8zmRMmTJBevXpJt27dxNXVVRRFkfr168vYsWPVtqb9MS0tTW7evGm2DVsyYsQIad26tYjkPDDs4+OjFmSmA8n897//lXXr1uU5o2dLfW/Pnj2iKIp4eHjIgQMHzNbNnj1batSoIRUrVjQ7+AYGBsqkSZPy3Z4t5c74mfX2229Lo0aNzNZNnTpVKleuLO3bt5fu3btLlSpVpEyZMqIoijz77LPq+9OULeVuxowZoiiKVKpUSfbv368uN36OZWRkSIsWLaR+/fpmz+QY2frxYvfu3WJvby+jR49WlxmvXK9bt04cHBykV69esn79enn55Zelb9++MmvWrHy3ZWvHi4MHD4qdnZ3MmTPHbLlp/zI+quLk5CSKosjkyZPz3VZx9LuiiO/WrVsyZcoUcXR0lKpVq8qwYcPyPRlZXPsXETlx4oQ0aNBAypQpI88884xuRT6LsVLq0KFDUrVqVbl8+bKIiFy5cuWRCjKReweK7OxstY21Tzx5+fJlcXBwkLCwsPu2SU1NlYCAAHn11VdFJO8BVeTewcCWcpecnCzPP/+8KIoicXFxInLvb96zZ484OzvL008/LT169JDhw4dLlSpV1KIsMjJS3Y4xdwaDwWZyl5/33ntP/P391dHYNm7cqBZkxhHu5s2bJw4ODvL777+rr7PF962IyMcffyyOjo6yd+9eddmcOXMkKChIVq9eLadPn5bk5GSJioqSRo0aqQfgt956S21v/MJsa7kTycmfk5OT7NmzR0RyBpGpXr26/Pbbb2ofPH78uCxatEi8vLxEURTp1KmT+npb/MwbOnSo+Pn5mQ1yYjqan0jO85+Ojo7yxRdf3Hc7tvqe/f7779UBT7Zv364uP3r0qHh4eMiLL74oa9eulbfffluefPJJ9URKx44d1f5mPAlla8eLTZs2qSfnTOfkErnXnzZs2CD+/v4yevRoKVu2rISEhKgDopjetVIc/a6w8Rn/fxMTE2XdunVy4cIF9XOoJPZvmo+//vpLfvjhhxKdVyw3FmOlWO4J+/7++28ZMmTIIxVktqhz586iKIr8+OOP933ov3nz5jJgwACzdTt27DAbnMIWc/rzzz/LoEGD1C90IjlD6vr4+MjgwYPNHrj9448/ZNiwYVK2bFlRFEXmz5+vR8gWx9hvDh8+LBUrVpR9+/ap63788Ue1IIuIiBAvLy/5+eefzV6X+2drZ3oyZPbs2eLs7CxbtmyRQ4cOScOGDfMdEez333+Xnj17qmdcTYtZW/Xjjz+KoigyYcIESUpKkuHDh6sDFZnmOCUlRb744gvx8PAQRVHk3//+t14h68b0/TV69Ghp1aqVfPvtt/memDt//rwEBQWpJ5zya2Orzp49qw6M9dhjj8krr7wio0ePFldXVxk5cqTZ851///23vPfee+qgRv3799cxcv3t2bNHHB0dxd/fXz0GGBmvbm3YsEG6dOkix44dUyfBnjJlSqmJrzDvFUvPz6NiMVYK5XdvunGZaUFWuXLlhw7qYUtM7yfu2LFjvvcFG3PUtWtX6dGjh7osPj5eOnfuLN27d7f6h4bzY9p34uPjzW4TiYuLk61bt+b7urNnz8rAgQNFURR54YUXbL4Pmrp165Z4e3vL4sWLReRe/zxw4IB6RbF169Zy+fJlm8+b6UF7zpw54uLiIpGRkfLSSy+ZPZdo2m779u0SHh4uiqLIwoULSzJci5SSkiLNmzeXcuXKyRdffCF16tSRpUuXikjeY0N8fLx6i57pVW1bYnq8+PDDD/PMd2Vq5syZ4uLiUuIP/ZcGS5YskZYtW4q9vb1Ur15dhg4dKjVq1JBLly6ZXe0SyRl6/O233xYXFxepXr26xMTE6Bi5/ozT7lSoUEG2bNliduUoOztbqlWrpj4G8Ouvv4qvr69UqFChxEbn1Ds+vfdflFiMWZFHKcge5XKwNcl9r/n9vuS++OKL8sILL4jIvXvcz507J76+vtK1a1c5cuRI8QZqRYzDuAcFBUlcXJzNFxYi9/phu3bt1FugjF/+Pv74Y3F3d1evTPTu3VsdLeqtt94q0FC91si00Pr3v/8tiqLIm2++maedaf9avHixKIoiAwYMYL+TnNHHjM/eKYoi77777n3b7tu3T+zt7aVu3bqSlJRkk/kzLchE8h4vjL/v2rVLfHx81FtieXUs7wm8Y8eOyd27d2XUqFFSo0aNfNuJ5PQ743OLx44ds+l+d/z4cfXKor+/v4wYMUKWLl0qq1evlmrVqskzzzxj9rrx48eLq6urXLx40arj03v/xYHFmJW5X0G2cOFCtSCbN2+efPTRR3kONHTvS3K/fv1kyJAhZuvmz58vipIza/uDzpJSDuMXkszMTPH29pbOnTvrHJHlGTdunFSrVk09OfLOO++Ij4+P7Nu3T7Zu3SrlypVTi4nXX39dXFxczAYSsDWmX3JXr14ta9asybed8bPtxIkToiiKjBo1qiTCs1imX2ifffZZ9dmcmjVrmo1MmfuLb3h4uHTp0qXE4izN2rdvL+Hh4XqHYVHyK6Tat28vZcuWlRMnTty3bf369aVevXoFnpfKWmVnZ8vBgwelRYsWZhMau7u7S+/evdXvK8bb8tauXSuenp4FGhbeGuLTe/9FyQFkVRRFgYigYsWKmDp1KgBg+fLlWLRoEVxdXREdHY0FCxbgyJEjsLe31zlay6MoCgDg7t27cHC49/aYOnUq5s6dC19fX2zfvh2BgYF6hVhq2NnZAQD++OMPKIqCli1bQkQA3MuzrRIRKIqCOnXq4Ouvv4arqysWLlyIBQsWYOXKlWjYsCEAYMWKFXjllVewbNkyeHh4YPfu3YiIiNA5ev3Y2dnBYDDAzs4OPXr0uG8742fb1atXUaFCBbRp06akQrRIiqIgOzsb9vb2WLt2LTp06IBdu3YhOjoa//d//wd3d3fUrVtXPX4YDAYkJCTA2dkZTz75JIB7fZbMGfvj0KFD0b17d0RFRaF///56h2URcveXrKwsODo6IiUlBVu2bEFQUBDc3d3V9QaDAXFxcbhz5w7atGmD7OxsODg42Gy/s7OzQ7169bBlyxasXr0a165dg5eXF4KDg9G+fXsAOe9LZ2dnAMDff/+NKlWqoFq1ajYRn977L1L61YFUnIxnma5cuSJDhgxRb0txd3eXgwcP6hyd5evQoYMMGzZMRHImOVYURXx8fKx6XpiikN+Z0GHDhkl4eLjZcPiUIzY2VoKCgqRt27Zmg3WYXgHq0aOHeHt7mw0eQ3nld2vYiBEjpGHDhjb/7ImRMUdXrlyRp556Sr3S361bN/nll1/M2k6bNk2CgoLyzEtG+bt8+bIEBARI37599Q7Foo0dO1YURRE/Pz9ZtmyZOjKv0ZQpU6RixYpy/vx5nSK0LA+6gyn3Z97AgQNlxIgRJTr0v97x6b3/osJizMLkHo60MIyvT0xMlMcff9zqi4miyJ3xjf3iiy/K+PHjZc6cOTZRiBU2d1lZWbJjxw756aefJDU1VUREYmJiZOzYseLm5mb1z9hpyZ/BYJC4uDjx9vYWNzc3dchdU9OmTRNFUeTw4cNFGa5FKYr37enTp2XVqlXqrdixsbEyfvx4cXNzs8hbUopKYXJ3584d6dKliyiKInZ2duLm5iajRo2SUaNGSa9evcTb29uqBysqymOt8STUggULRFGUPHPhWRutn3ciOQPJGG8r8/X1lf79+8vKlStl5cqVMnjwYHFzc7PqE8ZF1e8SEhLUId3v3r0rU6ZMkQoVKhR6EBm949N7/3phMWYBcl9NMN7fajonTmHMnDlTypYtK8eOHSvUdkqDwubOeI9627Ztxc/PTxRFEW9vb6suxIwKm7uJEyeKh4eHNG/eXF588UVp0qSJBAUFWe0XuqJ63+7YsSPfQuzKlSvy8ssvW/UXE6PC9r3PPvtMypcvL7Vq1ZLOnTtLs2bNJCQkxGr7niktuTNt8+GHH8pLL72kPm8RHBwsPXr04GeeBt9//71UqlTJIgcIKGpacmdsGxMTo46EZ/wXEBAgzZo14/eUAsjMzJSVK1dKuXLlpEOHDtK0aVPx8/Mrss87vePTe/96UET+eYiDdCEm9+FHRUXhjz/+wK+//oqQkBAEBQVh2LBhCA0Nhaura572BfG///0P/fv3x8aNG9XnUKxRUefu+eefx/r16+Hj44OdO3eiZs2axRm+rooyd3379sWKFStQrVo1tGjRAhMnTkRoaGhx/wklrqjetw/La0pKiroNa1SUfW/KlCl45513EB4ejtatW2P06NF47LHHivtP0E1hc2d8hswoOjoamZmZCAgIgKOjI1xcXErk79BDcRxrjW7evAlfX9+iDtliFDZ3puuWLFmCa9euISkpCa1atULDhg3h7+9fYn9LSSvKfnfgwAGMHj0aZ8+eRb169fDBBx8gLCysVMen9/51VeLlH+Vr0KBBEhQUJB06dJAGDRpIYGCgKIoinp6eMmbMGNm7d6/a9lGGej1z5oxcvny5OEK2GEWZO+P6jh07iqIocvr06WKNXW9FlTvTe7A/++wzOXfunNy+fbtYY7cExfW+tYXhnIuj761du1YuX75s9VN3FFXubKGf5VZc71lbGM6+ON6ztqI4+t3x48flp59+kuvXr5f6+PTev95YjFmAWbNmSZUqVdQH9LOysuTSpUsSGRkpiqKIk5OTPPnkk/Ljjz+qrzHtjLZ4QDUq6twZf09MTJQLFy6UwF+gn6LOna1NlcD3rXbse9qx32nH3GlXHLmzldwW1/cUa4lP7/1bAhZjOrtx44Y89dRTMmfOHBHJe3btnXfekapVq4qiKBIeHi4bNmxQ15l2uNOnT8u3334r8fHxedZZq+LKnS2ctWO/KxzmTzvmTjvmTjvmTjvmTrviyl1RXYnVOz69928pWIzp7OTJk+Lo6CifffaZ2XLTM72ff/651KlTRxRFkQYNGsjOnTvN2sbHx0vNmjVFURQZPHhwicRtCZg77Zi7wmH+tGPutGPutGPutGPutLP03Okdn977txR2ej+zZuvu3LmDrKws/P7777hz54663N7eHgaDAQDw6quvYtSoUQgLC8ORI0cQFRWFa9euqW2dnJwQHBwMANi7d6/ZdqwZc6cdc1c4zJ92zJ12zJ12zJ12zJ12lp47vePTe/8WQ+9q0NbFx8dLSEiIhIeHq/fLmt4mZ3qp9f333xc3Nzfx8PCQTZs2mW3np59+kvfff1/Onj1bMoFbAOZOO+aucJg/7Zg77Zg77Zg77Zg77Sw9d3rHp/f+LQWLMZ2lpKRIp06dRFEU6dq1q7rc9BKtaWccPHiwKIoizZo1k+Tk5FJ3X2xRYu60Y+4Kh/nTjrnTjrnTjrnTjrnTztJzp3d8eu/fUrAYswD79+8Xd3d3URRFBg0apC437YzGn1NSUqRu3boSFBSkPqhoy5g77Zi7wmH+tGPutGPutGPutGPutLP03Okdn977twQsxizEggULxNXVVRRFkVGjRqnLTS/XGn8eMWKEKIoihw4dsonRiB6GudOOuSsc5k875k475k475k475k47S8+d3vHpvX+9cQAPC/HKK6+gb9++cHZ2xocffohhw4YBABwcHNQ29vb2AAAvLy+EhoYiNDS0QDORWzvmTjvmrnCYP+2YO+2YO+2YO+2YO+0sPXd6x6f3/nWndzVI98TExMjAgQOlTJkyoiiK/Otf/5K4uDhJT08XkXv3zfbp00f+9a9/yd27d/UM16Iwd9oxd4XD/GnH3GnH3GnH3GnH3Gln6bnTOz69968nFmMW5vr16zJt2jT1/tlmzZrJ3Llz5fTp07J7926ZNGmSeHl5yYkTJ/QO1eIwd9oxd4XD/GnH3GnH3GnH3GnH3Gln6bnTOz69968XFmMWKC0tTTZv3iw1a9YUFxcXURRFFEWR4OBgqVOnjhw+fFjvEC0Wc6cdc1c4zJ92zJ12zJ12zJ12zJ12lp47vePTe/96UERE9L5VkvJ38+ZNXLx4EQcPHkRmZiaeeOIJhIWFwd/fX+/QLB5zpx1zVzjMn3bMnXbMnXbMnXbMnXaWnju949N7/yWJxRgREREREZEOOJoiERERERGRDliMERERERER6YDFGBERERERkQ5YjBEREREREemAxRgREREREZEOWIwRERERERHpgMUYERERERGRDliMERERERER6YDFGBERERERkQ5YjBEREREREemAxRgREdm8GTNmQFEU9V9UVJTeIRERkQ1gMUZEZGVCQkLMCouXXnrpvm137Nhh1tb4b8aMGSUXsAUYN24cYmJi0KNHj0Jv6+zZsxg7diwiIiLg4+MDR0dH+Pr6omnTphg+fDjWr1+PtLS0Ioi65Bw5cgQzZszA999/r3coqkWLFmHGjBlITEzUOxQiIs1YjBERWZn9+/cjJiYGTZs2BQCsWbMGH374Yb5tmzVrhpiYGMTExADI+YIbExODcePGlVi8lsDNzQ0VKlRAmTJlNG8jOzsbEyZMQM2aNXHo0CFMnjwZe/bswZkzZ7BmzRq0atUKX375Jbp164by5cvjl19+KcK/oHgdOXIEM2fOtLhibObMmSzGiKhUc9A7ACIiKlp+fn4AACcnJzg4OCArKwvjxo1Do0aN0KRJE7O2Tk5OqFChgvq7p6en2e9UcJGRkfj6668xbtw4LFiwwGxdaGgoWrdujaFDh6J58+a4fPkyrl27plOkRERkKXhljIjIinXv3h2NGzdGZmYmevTogZs3b+odklVavHgxvv76a0RERGD+/Pn3bVepUiUsWrSo5AIjIiKLxmKMiMiKOTk5Yd26dfDz88OVK1fQp08fGAyGR96OiGDVqlVo1aoVvL294eLigmrVqmH06NGIjY01a/v777+bPX/Wv39/xMTEYMCAAQgMDIS9vb26/LXXXjNru2PHDqxfvx7169eHq6srqlSpgtmzZyM7OxsAsGXLFjRp0gSurq4IDAzEhAkTkJmZmSfe5ORkLF++HF26dEFoaChcXFxQrlw5tGvXDhs2bNCWzPtIS0vD7NmzAQDDhw+Hnd2DD61dunRBeHg43Nzc8qxLSEjApEmTEB4ejjJlysDT0xPNmzfH559/rubA6H65a9y4MVxdXeHj44NevXqpt6Dmtn//fvzrX/9CSEgInJ2dUb58eXTu3BnLli1Tb/27ePEiFEXBK6+8AgBYvnz5fQc6OXv2LGbOnImmTZuifPnycHZ2RkhICAYOHIiLFy/m2X/btm3NtnXx4kUsWbIETzzxBFxcXFC+fHkMHjwYycnJZq/r378/FEXBpUuXAABVqlRRtxESEvLA3BMRWRwhIiKr9PTTT0u/fv1ERGTbtm1ib28vAGT69On5tgcgy5Yty7M8OztbevfuLQAkMjJSDh48KNHR0bJs2TIpV66c+Pv7y6FDh9T2GRkZEhMTI4sWLRIA0qlTJ4mIiJCoqCiJjo6WrVu3ir+/v/Tr10+SkpIkJiZGmjZtKgBk0KBBMmDAADl58qQcPnxYunXrJgBkzJgxsnXrVhk0aJCcPHlSDh06JF26dBEA8sYbb+SJedWqVQJAunfvLnv27JGLFy/K7t27pV+/fgJA5s2bl28OjOvzy8P9bNq0SQAIALl06VKBX5fbuXPnJCgoSNzc3GTx4sVy/vx5OXr0qAwdOlQASMeOHSU9PV1tnzt3AwcOlJ49e8qRI0fk5MmTMnbsWAEgERERYjAYzPa1ceNGsbe3lw4dOshvv/0mFy9elF27dsnzzz9v1keysrLM/i979OghMTEx6r+UlBR1m+3btxcXFxdZtGiRnD59Wv78809Zt26dhIeHi7e3t5w+fdoshoSEBImJiZFKlSqp//cjR46UU6dOyeHDhyUyMlIASNeuXc1el5iYaPa6ffv2qfFcv35dc/6JiPTAYoyIyEqZFmMiIgsWLBAAYmdnJ5s2bcrT/n5FyPz58wWAdOjQIc+6zZs3CwAJDg6Wu3fvmq1btmyZWqT88MMPZuumTp0qI0eONIsVgNSuXduscEhOThYXFxcpU6aMPP/882brkpKSxNnZWdzc3MyKFBGRDRs2SIsWLfIUISIibdu2FScnJ7l69WqedVqKsRkzZggAcXV1LfBrcsvKypLatWsLAFm1alWe9X369BEAMn78+DzrjLkLCwuT7Oxss3URERECQH777bd8X3Pjxo08cYSFheUp2I3/l6b9Kbe+ffvKBx98kGf5lStXRFEU6dSpU76vCw4OFgDSrl07s+WZmZni5+cnAOTy5cv3fV10dPR9YyIisnS8TZGIyEaMGzcO3bt3h8FgQJ8+fXDlypWHviYzMxPvvvsuAGDkyJF51rdt2xa1atXCpUuX8MUXX+S7jSpVqqBz585my2bPno0PPvggT9vIyEgoiqL+7ubmhrCwMKSmpqJJkyZm6zw8PBAWFoY7d+7g3LlzZtt57rnnsHPnTrP2Rk2aNEFGRgY2b978gL+84OLi4gDkDH6i1fr163H8+HFUqFAh36kI3njjDQDARx99hFu3buW7jX79+uW5RbJx48YAckZDNHXjxg0AwOXLl82W29vbY9GiRejYseMj/w3Lly/Pt49UqlQJFStWxObNm5GRkXHf1w8YMMDsdwcHB9SvXx8AcPTo0UeOh4ioNGAxRkRkQ5YuXYrw8HDEx8eje/fuD/xyDAAHDx5EfHw8AKBRo0b5tjEu//nnn/NdHxYWVuD4QkND8yzz8PC47zpjAZRfgXLw4EH07dsX1apVg5eXF9zc3ODm5qYOsHH16tUCx/Ug+RV8j8o4zH2DBg3y3V7dunXh5OSEtLQ0/Prrr/luo2rVqnmW+fj4AMibnzZt2gAA2rVrh7lz55oVZe3bt7/v//WDGAwGLFmyBG3atEFgYCDc3d3VnF+9ehUZGRkPHEDmUeInIrIWLMaIiGyIm5sbvv32W3h4eGDv3r0YO3bsA9sbB0mws7NDuXLl8m1Tvnx5s7a5GYfaLwjjl29TxuLkQetyD26xevVqNG7cGD/++CNGjBiBrVu34siRIzhy5AiGDBkCAA8tRAvK+PcnJSVp3oYxd/7+/vmut7e3V/N/vzzn9//j6OgIIG9+3nnnHfTr1w+JiYmYMmUKgoODUbduXcyfP1+9avYoRATdunXDa6+9htTUVPznP//Bvn371JwHBgYCeHDOHyV+IiJrwWKMiMjGPP744+qoeB9//DFWr15drPt7lCtHD2pb0O1kZGRg6NChyM7OxieffIKRI0eifv36qFq1KqpWrZpvUVcYxsm1U1JS8tz2V5IeJc9ly5ZFVFQUoqOjMXfuXNStWxdHjx7FxIkTERYWhu3btz/Svr/55hv88MMP8PPzw6ZNm/Dcc8+hRo0aas4dHB4+rWlRXGEkIiptWIwREdmgbt26YeLEiQByhkg/c+ZMvu2Cg4MB5NyCdr9bzIzPTBnb6u348eNISEgAADzzzDPFvr8WLVqoE2Vv3br1oe1jYmIQFRWFTZs2qcuMuTPmMrfs7Gz1dtGizHNQUBAmTZqEw4cP48SJE3j22WeRkJCAl19++ZG2s3PnTgA5z+MZbyslIqKHYzFGRGSj3n77bbRr1w537tzBiy++mG+b+vXrq7eP7d27N982+/btA5DzrJEleNg8akX1rJiRs7MzZs2aBSBngI2H7X/mzJl45ZVXcPLkSXWZsWjcv39/vq8/cuQIMjIy4OLighYtWhQ65nHjxuUZ1KNmzZr49ttvUbZsWVy9ehXXr19X1+U3d9qdO3fU4vFBf7PBYMgzF11RyC+m2NhY3L17t8j3RURUXFiMERHZKDs7O6xatQrBwcE4depUvm0cHR0xYcIEAMAHH3wAETFbv2XLFpw4cQLBwcHo27dvscdcEDVr1oSrqysAYOPGjWbr7t69m2dZURg4cCD69++Pw4cP480337xvu++//16d2Hj48OHq8q5du6JWrVq4fv06Vq1aled177//PoCcSaW9vb0LHe+6deuwdu3aPMtFBNnZ2XB3dzfbj5eXFwCYFTpTpkxB7dq1AdwbxGX37t15np3bsGED0tPTCx1zbrljunXrFgICArB8+fIi3xcRUXFhMUZEZGVu3LiB2NhYZGRkIDU1FbGxsfcdlKFcuXL45ptv4OLict/tjRs3Dr1798bmzZsRGRmJQ4cO4eLFi1i+fDl69uwJPz8/fPfdd2oBlJ2djdjYWPVLuTGG/K6O3LlzR40VABISEtR2Wte5urpi+vTpAHKG41+yZAn++usv/Prrr3j22WfV2/1Mt2H8OTU1FUDOYBymvxfE559/jokTJ+K9995Dq1atsHbtWpw7dw7nz5/Hli1bMGDAAPTo0QP16tXDTz/9BGdnZ/W19vb2+Oabb1C5cmUMHjwYixcvxoULF3D8+HEMGzYMX331FTp27Ig5c+YUKHcZGRmIjY3FnTt38m0LAAsWLMDs2bNx5MgRXLp0CTt27EC3bt2QlpaGt99+Wx08A8i5/dDJyQm///47Dh48iL1792LdunVo1aoVAKBnz56oW7cu4uPj0alTJ+zYsQN//fUXli1bhtdee019ZuzGjRtqXzTm2Dg4h+k6Y5/J/f9hOpDH008/DSBnSP0LFy5g7ty5sLe3L5Irh0REJUbnec6IiKiIGSfDNf0XHBz8wNcsXbr0gZMdGwwGWblypbRs2VI8PT3FyclJQkNDZdSoUXLt2jWzttHR0Xn2b/yX2/Tp0+/bTus6oy+//FLq168vLi4u4uLiIrVr15Z58+bJ5MmTzV6zffv2+27vUSZ/Njpz5oyMHDlSatasKe7u7uLg4CABAQHSuXNnWbFiRZ6JmU3Fx8fLxIkT5fHHHxdnZ2dxd3eXpk2byn//+1/JysoqcO62b9+e77rt27eLiMjp06dlxowZ0rBhQ/Hw8BAnJycJDg6WLl26qG1y++abb6RmzZri6Ogofn5+8tJLL0lsbKy6PjExUUaOHCmVK1cWBwcH8fb2lvbt28u2bdvM+qSxLxon2M6vn5pOGG76z3SC58TEROnTp494e3uLi4uLhIeHy4oVKx7tP4uISGeKSK57ToiIiIiIiKjY8TZFIiIiIiIiHbAYIyIiIiIi0gGLMSIiIiIiIh2wGCMiIiIiItIBizEiIiIiIiIdsBgjIiIiIiLSAYsxIiIiIiIiHbAYIyIiIiIi0gGLMSIiIiIiIh2wGCMiIiIiItIBizEiIiIiIiIdsBgjIiIiIiLSAYsxIiIiIiIiHbAYIyIiIiIi0sH/A95/nbSeD+JiAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,8))\n", - "# ax.plot(x_, y_, linewidth=0.5, color=color)\n", - "ax.plot(results.keys(), obj, linestyle = '--')\n", - "ax.scatter(results.keys(), obj)\n", - "\n", - "# ax = axis_formatter(axes=ax, xcord=x_, axis_labels='M')\n", - "plt.title(f'Chance constrained objective')\n", - "ax.xaxis.set_ticks(list(results.keys()))\n", - "# ax.xaxis.set_ticklabels(['1', '1/2', '1/3', '1/4', '1/5', '0'])\n", - "plt.ylabel(\"Objective Cost\")\n", - "plt.xlabel(\"Normal Constant\")\n", - "plt.xticks(rotation = 45)\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('chance.lp', 2852146817072)" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "lps[0.9][0].write('chance.lp')" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "cap_wf = [results[i].output['Cap_P'][('HO', 'WF', 0)] for i in compliance_list]" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[33.289216508064214,\n", - " 40.92253268446323,\n", - " 48.00254286866759,\n", - " 54.33673604653772,\n", - " 59.813977185532806,\n", - " 64.40551500511297,\n", - " 68.153764914636,\n", - " 71.15359829514522,\n", - " 73.53131251023959,\n", - " 74.53012706561104,\n", - " 75.25382963975338]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cap_wf" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsEAAAJXCAYAAAByjokqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAACn1klEQVR4nOzdd3gUVRcG8Hc2PaQ3EkJIIBBIaNJ7F6RKF1GaKCAWLFhRRFApil0E6c2CIEX8BBtFAekgJdJDT4OQ3nfP90fcIUs2IQmbbDb7/p6Hh+yUnXMyk8nZmzv3KiIiICIiIiKyIhpzB0BEREREVN5YBBMRERGR1WERTERERERWh0UwEREREVkdFsFEREREZHVYBBMRERGR1WERTERERERWh0UwEREREVkdFsFEZDY5OTmIjo42dxgmcenSJXOHQEREJcAimMwqMzMTy5cvx+DBg1G7dm24uLjA0dER1apVQ5cuXTB58mRs3boVGRkZ5g61QsrOzsYDDzwAb29v/PTTT+YOp0T27t2LBg0a4NdffwUAjBkzBoqiGP339ttvG32P0aNHQ1EUPPDAA0bXX7x4scj3CwkJKfSYxfmXX3h4OGbNmgVOwpnnwoULCAsLQ1hYGKKioswdDpnJjh07CvzcLF++3Oi2X331Fdzc3DB27NjyDZKslsJpk8lcNm3ahOeeew6XLl1C8+bN0bt3bwQFBSE3NxdRUVH4+eefceLECQCAq6srhgwZgpkzZ8Lf39/MkVccBw8eRIsWLQAAffv2xebNmwtsc/ToUWzcuBEACi0my9sPP/yARx99FJ07d8a6devg4uKCv//+G+fPn8eSJUuwY8cOAMDcuXNRtWpVNGrUCI0aNSrwPkFBQbh69SqcnZ1x69Yt2NvbG6xPS0vDhg0bAABPPPEE+vTpg4EDB6rvt3HjRqSmpuKvv/7CwoULAQBTpkxBeHh4kfEvXLgQf/31l0HB+9VXX+Gpp57C0KFD8fXXX8PGxuZevkUWb+7cuXj55ZfVrydPnmzmiAxt3LgRR48eRUhICMaMGWPucCqt2NhY/PbbbwCAkSNHAgCWLVtm9HveoEEDnDx5EgBw48YNeHt7l1ucZKWEyAw++ugjURRFXF1dZd26dYVut3LlSnFwcBAAAkC2b99efkFagKysLLn//vvFw8NDNmzYYHSbZcuWqd+/imDPnj3i4OAg9913n6SlpRVYv2jRIjXe1atXF/o+p0+fVrcDIDt37ix02xMnTggA2bJli9H1+b9HxbnGRo8ebfT7OXPmTAEgzz333F3fo7I7e/ashIaGSmhoqJw9e9bc4RSgP4edOnUydyhWQ/8ztmzZMqPr582bJ66urjJixIjyDYysFrtDULlbt24dXnzxRQDA2rVrMXjw4EK3HTlyJL766qvyCs3i2Nvb47fffsOtW7cwYMAAc4dzV9nZ2Rg9ejSys7OxcOFCODs7F9ima9eu6tfbtm0r9L22bdsGjUZT7G3t7OzQoUOHUkZePK+88goaNWqETz/9VG3Ntla1a9fGuXPncO7cOdSuXdvc4ZAFeOqpp5CcnIxVq1aZOxSyEiyCqVzFx8dj3LhxAIBhw4YV2pczv9GjR6Np06ZlHRqVgy+//BJnz55F165d1W4cd6pVqxZCQkIA3L2wbd26NWrWrAkA+OOPP4rctlWrVqhSpUrpg8+nT58+ePXVVwsst7GxwUsvvQQA6gc9IiKqmFgEU7n6/PPPkZiYCAB49tlni73fiBEjyigiKi8igi+//BIAMHz48CK37datG4C8B9suXLhg9L127NiBLl26oEuXLgCAffv2IS0trcC2Op0OO3fuVN/TFIYOHYrZs2cbXTd48GDY29vjyJEj2LNnj8mOSUREpsUimMrV4sWLAQA+Pj5o3bp1sfd7+OGHsWzZMtSrV6/AulOnTmHatGlo3749vL29YWdnBx8fH3Tp0gULFy5Ebm6u0fe884nlMWPGIDs7G++//z6aNm0Kd3d3uLi4oHnz5pg/fz50Ol2h8R08eBCvvPIKWrZsCQ8PD9jb26Nq1aro1asXvv/++2LlmJaWhjlz5qBVq1bw9PSEvb09AgIC0KNHD7z//vsFhuC6c2SDzp07G6x/++23oSgKHnvssUJzfvvtt9G5c2ejIx/c+eCKsZEUSvIn/0OHDuHs2bMAoBauhblbl4hjx44hPj4eXbt2VbfNycnBX3/9VWDbo0eP4tatWwbvWRr6kSbu9nChs7MzWrZsCQD47rvvSnUsrVaLn376CY8//jgiIiJQpUoVODo6IiQkBI8++ij2799frPdZt24dOnfurF7L9evXx5tvvonU1FT1+sj/7+jRo/ccg7EROe78nhk79sWLF3H+/HmMHj0a1apVg4ODA2rXro033nijyNFhtFotFi5ciI4dO8LLywt2dnbw8/PD/fffjzlz5hT4udFf7ytWrAAA7Ny5856u6/z27NmDRx99FDVq1ICDgwNcXV3RsGFDjBs3Dps3b4ZWqy103927d+ORRx5BUFAQHBwc4OPjg06dOuHLL79ETk5Oge0LG3UhNTUVr776KkJCQuDs7Izw8HDMmTMHWVlZ6r6//vorOnbsCDc3N3h6emLAgAH4999/i32M2NhYPPfcc6hTpw6cnZ3h5eWFnj17qiO9lFRh14MxO3bswDPPPIP77rsPrq6usLe3R2BgIAYNGlTk8Qu7vy1cuBDNmjWDi4sLPDw80KNHj2J9eM3JycH8+fPRuXNn+Pj4wN7eHn5+fujcuTPefvtto99PvaysLHzyySdo06YNPD094ejoiBo1amD48OH4888/73psMiFzd0om63Hq1Cn1wYguXbqY5D2PHj2qvmf9+vXlvffek6+++kpeeeUVqVq1qgCQjh07Gn0Aa9WqVbJq1SqpV6+eAJCHH35Y2rVrJ7Vr15Z3331XFi9eLM8995xUqVJFAEjv3r0lKyurwPts3LhRjaFt27YyZ84cmT9/vkyaNElcXV0FgDz00EOi1WoLzeP48eNSo0YNASAtWrSQuXPnyvz58+WFF14QDw8PASA2NjbyzTffqPts2LBBVq1aJR06dDD6gM8///wjq1atkvHjx6vx6XPW//vnn3/k119/la+++koURREA0q9fP1m1apXs2bPH4P02bNggK1euFGdnZ+natausWrVKYmJiin2uZs+eLQDE2dlZdDpdkdtGR0erMQ8fPrzA+o8++kgcHBwkIyNDrl+/rm770ksvFdj2gw8+EGdnZ6PnTq84D8ZFRUUJAJk2bVqRsYuIPPnkkwJAIiIi7rqtMc8//7wAEI1GI8OGDZPPPvtMPv74Y3nkkUdEo9GIRqORTz/9tMj3ePrpp9XrZuzYsbJw4UL54IMPpGnTphIWFibPPvusABAfHx/1ekhISLjnGFJTU9X38/HxMfo901+bU6ZMUb/vmzZtkurVq8vkyZNlyZIlMnXqVPH09BQA0rdvX6M55uTkSI8ePQSANGrUSN59911ZtGiRTJ8+XcLCwtT49+7dq+7z66+/Gvzc1KtXr8DPRUmuaxERnU4nkydPVq/vZ555RhYtWiQzZ86Url27qjmGh4cb3feFF15Q9500aZIsWrRIZs2aJeHh4QJAGjZsKFevXjXYLyYmRo1X//5ffPGFNGvWTD3fr7/+uri5uQkAGTp0qIjk3fdatGghn3zyicydO1eaN28uAMTLy0suXbp012NMnTpV/Pz8pFOnTvLJJ5/IggUL5KGHHlLXv/POO4V+n/Tb3PlgnLHrISoqqsD+n3zyibq+V69e8tFHH8kXX3wh48aNE3t7+0LvAfq889/vR48eLY8//ri0adNGPvvsM5k/f756Ldnb28vu3bsLzePKlSvSqFEj9fqZOXOmLFy4UF577TUJCAhQY5wzZ06BfS9duqTG0KpVK/noo49k0aJF8swzz4izs7P6YO3d7pFkGiyCqdx8/fXX6s1h/PjxJnnPAwcOCADp0aOH5ObmGqy7deuWeqN65plnCn2PTp06qcVCmzZtJD093WD9oUOHxMnJqdCn/teuXSsA5Iknniiw7urVq+pNce7cuUaPHxMToxbsY8aMKVAsx8TESGhoqACQjz/+uMD+d3vKvbijQ3Tp0qXQX9R6f/zxR5GjLBRl6NChAkAaNGhQrO0jIiIEgFStWrXAur59+0rnzp3V13Xr1hUA0rRp0wLb9urVS3r06FHksfJ/jzZu3Cjx8fEF/h0+fLjYRfDcuXPV9zP2Aexu9AXsqlWrCqz7/fff1SJ03759RvefP3++evz169cbrMvNzZVBgwaJjY2NAJDg4OAyiUFEJDg4uMjv2fbt29U4g4ODDYpVEZGdO3cWOfrHggUL1POenZ1tsC47O1u9po19sDHl6BDTpk0TAOLq6ipHjx4tsF5/Pbi7uxe6r4uLS4F9MzMz5f7771c/UN15b9LTf4+qVasmCxcuNFi3d+9edf23334rffr0kZycHHV9RkaGep+cMGFCoTnq38PGxsboffDLL79UtylspJrCimC9/NeDsSL4gw8+KLTQPn78uNpgUdSIQ/r7fUBAgAwYMMDgfqvT6dQPLYU11KSlpakfTrp37y6ZmZkG61NSUqRNmzZGf1+kpaWp96pRo0YVKHT/+ecftRA2dq8n02MRTOXm008/LbLFrjT0RXBhv4h//fVXASCOjo6SkpJidBv9TRGAHDp0yOg2+lYejUYj58+fN1i3du1a0Wg0Eh0dbXTfhQsXCgCpXr260fX6X8aenp6SnJxsdJvvvvuuzIvglStXqtvdWYzojRgxQgIDAwt84CiO++67TwBI165di7W9vqUSgJw4cUJdnpubK25ubjJjxgx12cSJE9Xzc/PmTXV5Tk6OuLi4yOzZs4s8Vv7v0d3+FacIXrFihbr9P//8U6x883v66aeL/DDyyCOPCACjQ0mlp6erLai9e/c2un90dLTY2dndtQgubQx6JSmCR40aZXSbkJAQASCvvvpqgXUDBw4UADJ58mSj+/72229lXgSfO3dO/UBRWCuoTqeT8PDwAkVw/n3ffvvtQt9fo9EIAJk+fbrRbfTfw7CwMKMtiPXr1y+yhXPOnDlqEV0Y/TH8/PwkIyPD6DbNmjUTAFKzZk2jcZiiCHZ3dy/wgUdP35Lcvn37QvPIf7+/814uIrJ8+XL1XmLsA6z+Q4uNjY3RGEVuf/C4swieOnWq+mEpMTHR6L6vvPKKABAPD49SfYCmkmGfYCo3KSkp6tdOTk4mec9GjRohKiqq0JEGmjdvDiBvZrqDBw8W+V41a9YsdBSKYcOGAch7yGrlypUG63r37o2LFy8WOomHPoarV68W6Od269YtfPvttwDyJrtwdXU1+h69e/eGr6+vyb5vxgwePFg9/rJlywqsT05Oxvr16zFq1KhSTQRx7do1AICnp2exts//IFv+fsEHDx5EcnKyQb9i/dc6nQ7bt29Xl+/fvx+pqakleihu7ty5+O233wr8W716dbHfI3+O+rxLYsaMGdi5c2eh6/XXlLE+0Js3b8atW7cAAA899JDR/f39/dGuXbsyi6E0+vXrZ3S5fuISfX/y/PR9bPfs2WO0z37btm3x22+/oXHjxiaJ0ZgFCxaocTzyyCNGt1EUBUOGDCkw+cNXX32l7vvoo48a3Tc0NFR9fuLLL78sckbCBx54oMBMhgAQFhYGIO++26ZNmwLr69atCwC4fv06UlNTC31/IG9kFEdHR6Pr9PfJqKioIq+d0ho/fjz+/fdf2NnZGV2vvyb37dtntB91fvXr10etWrUKLNdfbzqdDufPnzdYJyKYP38+gLxrSz+KzZ1atWqFOnXqwMXFxWBf/XCfPXv2hLu7u9F9e/bsCQBITEzEli1bisyB7h2LYCo3bm5u6temmgbZ3t5efWALyPulmJiYiBs3buDGjRsGD6LExMQU+V7169cvdF2jRo3UMWl37dplsM7Z2RlBQUHq65ycHNy6dUuNIb87Y9i9ezeys7MBoMhh4FxdXREXF4cJEyYUmcO9cHZ2Voum7777rsA5WrNmDdLT00s9u5Z+5IY7Z3UrTKdOndRiO//wZ9u2bUOVKlXQqlUrdVmXLl3UayB/wbx9+3Z4eHiUaIi9Zs2a4f777y/w725FY375czQ2YsXdeHl5wdfXV32dmZmJmzdvqteUvggwdk3v3r1b/fq+++4r9BhFXe/3GkNp1KlTx+hyDw8PAEBSUlKBdfpz8vfff+P+++/H77//blAMOzs74/777y/2B6/S0H/ocnd3N1pU6c2YMaNAUaW/Vt3d3YscS7lZs2YA8mZfK+qBq8K+h/oPt6GhoUaL5PwfvvWj9xSmqOsm//V2533SFNzc3BAQEKC+zs7ORkJCgnpN6u/ROTk5uHnzZpHvdbfrDSh4zZ08eRJxcXEAir5fA8CZM2fw7rvvGt23du3aasx3/ss/dvqBAweKPAbdOxbBVG7y/0JNTk422fvGx8fjtddeQ3h4OOzt7eHp6QlfX1/1n15mZmaR75P/5ncnBwcHeHl5AUCBp82BvCfin376adSqVQv29vZqAeHr62tws7wzhvy/FKtVq1ZkfOVBP5JEUlIS1q9fb7Bu2bJlaNeundqqVFL63AtrxblT/uJ1586danHzxx9/oF27dgbv4+PjgwYNGqjr9bZt24ZOnToZTKpRHvLHVtoPfH/99ReGDBkCPz8/ODk5wcfHR72m9MML5n/iXy//XxvyFwx3Kk5hWNoYSqOwv4LoP1AYG+Vl0qRJ6NSpE4C8YrR79+4IDAzExIkTCxTEZUX/M1yan9/i7hsYGFhgH2Pytzzmpy98C1uf/+ejsNF09Iq6T+bPw9h90hSOHTuG0aNHo3r16nBwcIC3t7d6TeafMOhu9/u7XW9Awe/Fvdyv8+87a9Ysg99R+f/lHzUpNja2RMegkrM1dwBkPfIXg+fOnTPJex4/fhzdunVDfHw8goKCMHPmTISFhRnc4Lp3716s97rbn/j1fwK888+F27ZtQ79+/ZCeno6IiAh8/PHHqFWrlvqJPjY2ttBxjvO/V2F/YixP7dq1Q506dXD27FksW7ZM/RPtmTNn8Pfff6tD3JWGo6Mj0tPT7/pnyvy6du2KAwcOIDExEYcPH0bDhg2xZ88eTJs2zei2x48fx+nTp3Ht2jX4+Phgz549eP/990sdc34hISFF/ik6v/w5lqYLy+zZs/H6668DAHr16oUBAwagRo0asLXNu2X/+uuv+OCDD4zum7/luahr6m7X+73EUBql+aDi6OiIP/74A8uWLcO8efNw9OhRxMTEYMGCBViwYAFCQkIwa9YsPPzwwyaL8076n+HS/PwWd9/864tqQDDWyluS9cVR1HWTP867dasoja+//hpjxoxBbm4uWrdujSlTpiA4OBgODg4AgH/++UedrOZuSnO93cv9Ov++Tz31FAYOHHjXfapWrVqiY1DJsQimchMWFobAwEBcu3YNx44dg4jc80159OjRiI+PR/Xq1XH8+PFC+1kVR1FjeAK3Wxbyt6ZkZWXh0UcfRXp6Opo0aYJ9+/YVaOksbLxLwLA14m4tF+VlzJgxeOONN7Bt2zZcunQJwcHBWLZsmUF3idKoUqUK0tPT1e4fxdGtWzfMmTMHQF4Lb2pqKjIyMoyO+du1a1d8+umnAPI+mFSvXh2ZmZn3PD5waeTPsaSz1B09ehRTpkwBADzzzDP4/PPPC2xz9erVQvfPf31mZmYadEPKr6jr/V5jKE82NjZ44okn8MQTT+DkyZNYs2YNVq1ahYsXL+LixYsYPnw40tPTMXbs2DI5vqurK27dulWqn9/i7pt//b3c40yhqOsmf5yFtTqXVnR0NMaNG4fc3Fz069cPP/74Y4Ft9B/Qysq93K/z7xsUFIT777/fZHFR6bE7BJUrfZ/WGzduYO/evcXe7+2338aAAQPw0UcfqcvOnTuHI0eOAABGjRp1z78ciuoLl5WVhYSEBABQp+kF8v5crO8TOXHixGL/qV8vfz/A69evl2jfsjJq1ChoNBqICFasWAGtVouVK1diyJAhhf4JsTj0f9LVP7RVHO3bt1dbebZt24Zt27bB3d3daH+8jh07GvQh3r59O/z9/e/a97Us5M8x/5+yi2PdunVqi/OkSZNKfOz8D+tER0cXul1R5+FeYzCX+vXrq31vV6xYoV47+oK+LOh/hkvz81vcffM/XBkaGlri45hSUffJ/Hnkv0+awv/+9z+1a1FJZhs1pXu5X+ff9/LlyyaLie4Ni2AqV5MmTVKfkP7iiy+KtU90dDRmz56NTZs2GTx4on/IACi80CjJn+QiIyMLXffPP/+o/Qvbt29vshjatm2r9kE7dOhQodvFxMRgyJAheO211wrdpjAlbW2vXr262kqxfPly/PLLL7h+/brBzHOloX8QJf/37G6cnJzUPnK7du3C1q1bDYrd/Dw8PNCkSRMAtwvmu81MV1bi4+PVr4t64MmYe72m8l+f+g+JxhR1vZv6Z6usLFmyBGvWrCmwXKPRYNSoUWoBHxsba3BOANN0DQBuj0ySlJRUZH/dzz77DEOGDMHhw4dLvK9+H39/f6OzZpanoq6b/Ndb/uvQFCrCNRkeHq6OAlTU/To7OxsPP/wwHn/8caP77tu3r8jjPPXUU7C1tcW6detMEDUVhUUwlSt3d3d8/fXX0Gg0+Pbbb/H777/fdZ/JkycjKysLbdq0Qf/+/dXl+R/6OXPmjNF98//CuZsLFy4YTBubn/4XrUajwciRI00Wg4eHh9rv9qeffiq0v9+aNWvwww8/lOrPffmfNs7fV/WFF15AvXr1ChQHwO0H5KKiojBp0iTUrFlTfQCptPRPuEdFRRW7by1we6i09PR0HDhwoMjCVr/uypUr2LNnj1m6QgC3H4KJiIgw+P4Xx71eU3379lUf4ly7dq3RbWJjY4t8et/UP1tlZdWqVZg7d26h6/V52NjYFPjzvP683NlHvV27dujVq1exY5gwYYL6oeybb74xuk12djbee+89bNmyxaAltzj7RkVFqX81e+qpp0xWvJfW//73v0IfhtRPER8aGooOHTqY9LgV4ZpUFAUTJ04EkDciSVRUlNHttmzZgjVr1hh8n/Lve/jwYRw7dszovsnJyVizZg1cXV3V4dKoDJlthGKyagsWLBAbGxtxc3MrdHahjIwMdRIEf3//AlN6iog0adJEnW3p9OnTButSU1OlVatWdx2gXT94uq+vr7Rr167IGeOef/55g3WZmZnqjHCBgYESFxdnsD4uLk4d7B+FDNqff8a4xx57rMCMcWfOnBEPDw/x8PAwOiHH3Qb9P3LkiHr8c+fOqcsjIiLE2dnZYPYovYyMDHW6ZhQxSH9J6Cc2ASAXLlwo9n67du0ymKzC2Ixcelu2bDHYtrjHKc60ySWhn5K3qJkKC3P06FF1CuvevXsXOD979uwRW1vbIidA0c+kBiOzd2m1Whk6dKj4+fkVOlmGKWIQKdlkGYVNPFDU9a3/2d20aVOBdVlZWdKyZUsBIP379y+w/uOPPxYAEhQUpC6Ljo4WjUZz1xkG7/T222+rkyAcO3bMYJ1Op5NnnnlGAMhrr71W5L53TqySlZWlTuVbnBnjCrvH3e0eUZzzoF/v6+srL774YoH1+WcpLIsZ42JiYtT78H333VdgIomzZ8+Ku7v7XfPQXzOjR482ul4/PXph94L09HR1xrgePXoUmI5df8+3s7MrcC3k37dZs2YFJszIysqSwYMHCwD56KOPjMZHpsUH48gsJkyYgODgYDz55JMYOHAgWrRogd69e6N69erQarU4efIk1q1bh+joaLRq1QrfffcdatSoUeB9li5dii5duiAxMRFNmzbFE088gfDwcFy/fh2rVq0y6KP7999/w9bWFo0aNUKjRo0KvFfv3r2h0WjQuHFjjBkzBlWrVsWJEyewaNEiZGRkoFevXupDWnoODg5YunQpBgwYgGvXriEiIgJPPPEEatasiaioKCxZssRgKKrffvsNV69eRdu2bdWuHVWrVsXvv/+O3r17Y9myZYiMjMSwYcPg7OyMEydOYOnSpQCADRs2GEzIsXHjRqSmpuLChQsA8lr39BM6DBw4UH0gq3HjxmjYsCGOHz+OcePGYdiwYdi1axciIyMxYcIEo63Ljo6OePjhh7FgwQIoioLRo0cX78QWoVmzZurIE9u3by92n8GWLVvCxcUFqamp8Pb2Nnru9Nq3bw87Ozvk5OQgJCTkrsfQfw///vtvdZn+HAEwOE/FlZGRgf379wMAhg8fXqJ9gbzz9dZbb2H69On4+eef0bRpUwwbNgze3t44cuQIli1bhlq1aqmtYcbO+YQJE3D8+HHMmzcPQ4YMwejRo9GmTRskJSXh22+/hZeXF8aPH28wjqmpYgDyrlXg9kgVx44dw+rVq+Hi4oIBAwbgwoUL2LNnj8GYtxs3boSPjw+6d++OqlWr4u+//8b58+eNXt/60Vb0fdQHDhyIgQMHonXr1vDw8MC1a9fw7bff4vTp06hbty6+/PLLAjkOHjwYU6ZMwZUrVzB+/Hg0bdoUK1euhE6nK3HXn7feegvJycn46KOP0KZNGzz++ONo1KgR4uLisGnTJuzbtw+9e/fG9OnTje6blJSEjz/+GG3btlX3vXHjBlauXInIyEg0aNAAW7ZsMRhpJC0tTf0+6915jyvse1iS83CnqVOnYvHixejSpQsGDRoEBwcHbNu2Tf1r2YwZMwyGKouNjcVvv/1mNM6qVauie/fuOHbsGI4dO2Y0Dn0uVatWxRdffIFx48bh6NGjiIiIwJgxY1CtWjX8+++/WLRoEQIDA9Wxfe/MQ/+zrh927MKFC1i9erUag/77mX9sd/29IP/vDCcnJ/z666/o3bs3fv31V9x3330YPXo0vLy8cPbsWSxZsgTJyclYtGgRGjZsaJB3/n0PHTqE+vXr47HHHkNISAguX76M7777DmfOnMGTTz6J559/vsD3nsqAuatwsm6ZmZmyaNEi6devnwQFBYmDg4M4OztL7dq1Zfjw4bJp0yaj02/md/HiRRk/frwEBweLnZ2duLi4SNOmTeXdd9+V5ORkg5ZBGGmVurNlYMmSJdK6dWtxd3cXZ2dnadq0qcybN69AC21+x48fl0cffVQCAgLE1tZW3N3dpU2bNvLZZ5/J6dOnC8RgrCUkJSVFZs2aJS1atBA3Nzexs7OTkJAQGTdunJw9e7bA9vpWNmP/7mwFuXjxogwePFi8vLzEwcFBwsLC5O233y4w731++/btEwDSrVu3QrcpKX3rW/fu3Uu0X+/evQWADB48+K7btm3bVgDI2LFj77ptUd/Dws7T3axevVptrboXmzdvlu7du4uHh4fY2tqKn5+f9O7dWzZv3mx0mmdjLV9r166Vjh07iqurq7i4uEjjxo1l7ty5kpOTI2+99ZYAkNDQUJPGkL8l7c5/+lbnoqap1re+6Vsvjf3Ty83NlZ9++kmeeOIJadCggbi6uoqNjY14eHhI27ZtZe7cuUVOPbt9+3Zp3769ODs7q/eNb775plTnS0Rk9+7dMnz4cKlevbrY29uLm5ubtG/fXhYvXlzk/UMk7y8ew4cPl8DAQLG3txdPT09p3769fPHFFwVaG0WkyO+z/h5X2PewJOdBL//PRFpamkydOlXCw8PF2dlZPDw8pHv37vLLL78UiDN/6+6d//Qt0/qpiIvKJf/3acCAAeLj4yM2Njbi5eUlXbt2lZUrV8q2bdsKzaOwn3V9DMX5fuaXnZ0t8+bNkw4dOoinp6fY2tpKtWrVZPjw4XLo0KEiz7Wxff39/aV///6yZcuWIvcl01JEStA5j6gS6ty5M3bu3InRo0dj+fLl5g6nwjhy5AiaNm2K1atXFzqla0llZWWhQYMGOH/+PA4cOKD2E64sdDodmjVrhqNHj2L79u3o3LmzuUMq1IsvvoiPP/4YLVq0UFuuiQqj74u8bNmyUs8aSVTR8ME4IjJqxYoVcHNzw6BBg0z2ng4ODlixYgXs7e0xbtw4k02fXVHMmTMHR48exaRJk8xaAMfHx+P48eNFbnP27FkAUGfaIyKyNiyCiQhXrlxR+9IBeU+zf/vtt3j44YdLNeNZUdq2bYtVq1bh5MmTGDRoUIUYassUFi5ciDfffBMPPfSQwXjW5vDDDz+gadOmhY4FnJKSgh07dgCAwYgrRETWhEUwEaFfv36YMWOG+nrVqlWIi4tTJzcxtaFDh2Lbtm04d+4cfvjhhzI5Rnl77rnnMH36dHz33Xd3nZK4POTm5uLtt98usFxEMGnSJKSmpqJVq1bo169f+QdHRFQBcHQIslr6J83vfFoYuP30uTVZtGgRqlatChHBzJkzMWTIEKMzs5lKu3btcPLkSaPjFFuiyMhIk8+SVVr6/pufffYZDh8+jD59+qBq1aqIjo7G2rVrcfToUdSvXx/r1q2DRsO2EDKuOCM7EFkyPhhHVquoQeet7cdi0qRJ2LBhA+Li4uDp6Yn+/ftj7ty59zRNMplPbm4u/ve//2Hjxo04cOAALl++jPT0dLi6uqJ+/foYMmQIJkyYYPKuLlS57Nixo9DJaTp16qR2qSGyVCyCiYiIiMjqsDtECeh0Oly/fh2urq5mn7qSiIiIiAoSEaSkpKBatWpFdvliEVwC169fR1BQkLnDICIiIqK7uHLlCqpXr17oehbBJaDvH3nlyhW4ubmV+fF0Oh3i4+Ph6+trdQ+vMHfrzB2w7vyZu3XmDlh3/szdfLmXx/HNkWNycjKCgoLu+lwLi+AS0HeBcHNzK7ciODMzE25ublZ5Y2Du1pc7YN35M3frzB2w7vyZu/lyL4/jmzPHu3Vdta6rjYiIiIgILIKJiIiIyAqxCCYiIiIiq8MimIiIiIisDotgIiIiIrI6LIKJiIiIyOqwCCYiIiIiq8MimIiIiIisDotgIiIiIrI6LIKJiIiIyOqwCCYiIiIiq8MimIiIiIisDotgIiIiIrI6tuYOgIiIiIgqH61OsO9CAuLjbsI31RatannDRqOYOywVi2AiIiIiMqmtJ6IxfXMkYpMyEO4p+PdWFKq6O2Favwj0bBBg7vAAsDsEEREREZnQ1hPRmLj6MKKTMg2WxyRlYuLqw9h6ItpMkRliEUxEREREJqHVCaZvjoQYWadfNn1zJLQ6Y1uULxbBRERERGQS+6MSCrQA5ycAopMysT8qofyCKgT7BBMRERFRqel0gsjoZOw4HYcfDl8r1j5xKYUXyuWFRTARERERldixq4lY+fcl7DgdjxupWSXa18/VsYyiKj52hyAiIiKyMlqdYO+FBOy7cBN7LyTctY+uTic4cS0JV2+lq8tikjKx7tBV3EjNgrO9DbpHVMU7/RvA19UBhQ2EpgAIcHdEy5pepkumlNgSTERERGRFijt8WVJ6Dv46F48dp+PV1t5nu9bG5B51AQDtavtgXIea6FzXD81DPOFgawMA8HW1x8TVhwsUwvrX0/pFVIjxglkEExEREVkJ/fBlAsPuAPrhyz59+D5cuZWB7aficORKokELsbO9DbJzderrKg62eKNPRIFj9GwQgPkjmqqFtp6/u2OFGieYRTARERGRFTA2fJlWlzdigyCvpXbmz/8iM0eHxIwcAEBtPxd0qetboLX3bno2CED3CH/su3AT8XGx8PWryhnjiIiIiKj83Tl8mQ7AqaTbRakAiEnOwqOtaiA8wA2d6/qiuqdzqY9no1HQupYX4lxy4efnBU0FKoABFsFEREREld65uBSs+vviHUv1RanhQ3Eta3qh/32B5RGWWXF0CCIiIqJKRqcT6PL151299zJ+PhFjsI0CQR03XYFisCIMX1YeWAQTERERVQLZuTrsOB2HKRuOo9WsP7Av36xsvRr4o2s9P7g73e4EoACwz9fFtyINX1Ye2B2CiIiIyEKlZeVix+l4/HIyBttPxSElK1dd98e/sWgT6g0AaFXLG61qeaujQ9ypog1fVh5YBBMRERFZoIs30tDjkz8Nhi3zdXVA94iqeKC+P9rU8i6wj6UMX1YeWAQTERERlTOtTrDvQgLi427CN9X2rsOHXUlIx6+RscjV6jChUygAINjbGd5V7OFgq8ED9f3Ro35VNAnyvOsoDJYwfFl5YBFMREREVI6KM2ObiOB0bAp+ORGLX07GIDI6GQDg6WyHx9vXhK2NBoqiYPOz7eFdxR6KUrICtqIPX1YeWAQTERERlZO7zdg2f0RTXEvMxMq/L+LSzXR1vUYBWoR44YH6/sjVCfRzVvi4OJRr/JUJi2AiIiKicmBsxjadGM7YNn1zJAbcF4hLN9Nhb6tBh9o+eKC+P7qF+8GbBa9JsQgmIiIiKgfGZmw7nahA/hubQQBEJ2Wijp8Lvny0KTqF+aKKA0u1ssLvLBEREVE5OBWTfMcSBXnjOujbgfPY2Cjo3dB6RmkwF06WQURERFTGLt1Mw4zNkXcsFYS46HDnI2nWMmObubEIJiIiIjIhEcGhSwn4/sAVdVmwdxVEVHODvc3t0ksDoIrd7TZga5uxzdzYHYKIiIjIBK4nZmDDkWtYd+gqom6kwdFOg14N/eHqaAcA+GFiW+w4HccZ2yoIFsFEREREpZSZo8UvJ2Ow7tBV7Dp3A/Lf0A/O9jbo3TAA6dlatQh2tLPhjG0VCItgIiIiolJaujsK7289rb5uXcsLQ5oFoVcD/0JHduCMbRUDi2AiIiKiYohOysD6w9dQv5obOtf1AwAMuC8Q3+2/goFNAjG4aXXU8HYu1ntxxjbzYxFMREREVIjMHC1+jYzN6+5wNh46ATqF+apFcDUPJ+x8uXOJpy0m82MRTERERHSHw5dvYd2hq9j8z3WkZOaqy1vW9EK/xtUMtmUBbJlYBBMRERHd4b3//YtDl24BAAI9nDC4WXUMbhqIYO8qZo6MTIVFMBEREVmtzBwtfouMxYYj1/Dh0MbwrGIPABjRugaCvZwxpFl1tK7lzT67lRCLYCIiIrIqIoKjVxLV7g7J/3V3+PGf6xjdNgQAMLBJdQxsUt2MUVJZYxFMREREViEpIwff7r+MdYeu4lxcqro8wN0Rg5tWR5f/HnYj68AimIiIiKxCrlaHub+cRq5O4GCrQa8G/hjSLAhtQjlGrzViEUxERESViojg+LUkrDt0FTFJmVg4qjkAwNvFAU92CkWgpxP6NAqA238zuZF1YhFMRERElUJcSiY2HrmGdYeu4kzs7e4Ol26mqaM6vPRAXXOFRxUMi2AiIiKyaPujErBg53nsPBMPrU4AAA62GvRs4I8hzaqjumfxZnEj68IimIiIiCyKiECrE9jaaAAA1xMzsO1UHACgaQ0PDGkWhD6NAuDuxO4OVDgWwURERGQR4lOy1O4OA5sG4slOoQCAB+r745kutTGwaSBCfV3MHCVZChbBREREZBZanWDfhQTEx92Eb6otWtUqOEpDdq4O207FYt2hq9h++nZ3hx+PXleLYCd7G/b1pRJjEUxERETlbuuJaEzfHInYpAyEewr+vRWFqu5OmNYvAj0bBAAAZm85hTUHLuNWeo66X5MaHhjSrDr6NqpmrtCpkmARTEREROVq64loTFx9GAJAk295dFImJq4+jPkjmqJngwBEJ2XgVnoO/FwdMKhpdQxpVh21/djdgUyDRTARERGVG61OMH1zJOS/1wIgORvQ5Xs9fXMkukf4Y3zHWhjYJBDta/uoD8ERmQqLYCIiIio3+6MSEJ2Uqb4WAFfSDAvc6KRM7I9KQJtQ73KOjqwJP1YRERFRubmSkHbHEgW2igBq23CeuJRMEJUlFsFERERUbvzcHA1eKxDUcZcCBYmfqyOIyhKLYCIiIiozl26m4aNfT0P339BmHer4GkxioQDIPyqaAiDA3REta3qVb6BkddgnmIiIiEzu3+hkzN9xHj8duw6dAA0C3dGjvj9sNArmDG6IiasPF9hHXwtP6xdRYLxgIlNjEUxEREQmc+hSAr7cfh5//DeNMQB0ruuLAHcn9XXPBgGYP6KpOk6wnr+7o8E4wURlqUIXwRcvXkTNmjWLte1zzz2HTz75xGDZvn37MGvWLOzevRupqamoVasWhg8fjpdffhkODg5lEDEREZF1SkrPwfhVB7EvKgEAoChA74YBmNgpFA0C3Qts37NBALpH+GPfhZuIj4uFr19VozPGEZWVCl0E69WqVQt2dnZG1yUlJSEmJgbh4eEGy7/55huMGjUKLVq0wPr161GtWjVs3LgRr732Gn788Uds27YNLi4ccJuIiMgU3JxskZqVCzsbBYObVseETqGo6VOlyH1sNApa1/JCnEsu/Py8oGEBTOXIIorgP/74AyEhIUbXjRgxAv/73/8wYsQIddn58+cxduxYeHt7Y8uWLfDw8AAATJ48GVlZWXjjjTfwwgsvYNGiReUQPRERUeWSnavDxiPX8M3+y1j1eEu4OtpBURTMGdwI3i72Bl0fiCqqCj06hIODA5o1a1Zo14WYmBisXbsWY8eORZUqtz9tzpw5E1lZWXjsscfUAljv6aefhoODA5YuXYrLly+XZfhERESVSnp2LpbuikKnD7bjlR+O4eiVRHy3/4q6vkGgOwtgshgVuggOCAjAwYMHERBgvIP8ggULkJubi2eeeUZdptVqsX79egBAt27dCuzj7u6OFi1aQKfTYd26dWUTOBERUSWSlJ6Dz/44i3azt2HGT5GITsqEn6sD3ugdjuGtapg7PKJSsYjuEMbk5OTgq6++Qp8+fQwenjtz5gwSExMBAPXq1TO6b7169bBr1y4cOHCgyGNkZWUhKytLfZ2cnAwA0Ol00Ol0he1mMjqdDiJSLseqaJi7deYOWHf+zN06cwcqdv4pmTno8P4OJGfmAgBqeDlhQsdaGNQkEA52NgBwT3FX5NzLmrlzL4/jmyPH4h7LYovg77//HjExMZg0aZLB8vPnz6tf+/v7G91X37Kcf1tjZs2ahenTpxdYHh8fj8zMsp/OUafTISkpCSICjaZCN9qbHHO3ztwB686fuVtn7kDFyz8xIxceTrdLhFY1XBGVkIlRzf3RNcwTthoFSbdumuRYFS338mTu3Mvj+ObIMSUlpVjbWWwR/PnnnyM8PBz333+/wXJ9a62NjU2hI0o4OzsDyBtZoiivv/46XnzxRYP3DgoKgq+vL9zc3O4l/GLR6XRQFAW+vr5WeWNg7taXO2Dd+TN368wdqDj5n45JwYI/L2DL8Wj8/FwH1PpvdIe5D3vCxcEWimL60RsqSu7mYO7cy+P45sjR0bF4U25bZBF84MAB7Nu3D19++WWZHsfBwcHoQ3kajabcTqSiKOV6vIqEuVtn7oB158/crTN3wLz5H758C19uP4ff/709wcWO0/Go7ecKAHB3Ltux9a353Js79/I4fnnnWNzjWGQR/Omnn8Ld3R2jRo0qsE7fQqvVapGTk2O0NTg9PR1A3kNyRERE1khE8NfZG/hyxznsvZBvgosGAZjY2fgEF0SVicUVwbGxsVi7di2efvppg2HR9EJDQ9WvY2JiEBQUVGCb6OjoAtsSERFZk4wcLSZ9dwSJ6Tmw1SgY1DQQEzqFItSXE0mRdbC4ItjYsGj5hYWFwd3dHUlJSTh16pTRIvjUqVMAgBYtWpRprERERBVFjlaH3yNj0bOBPxRFgbO9LZ7sFIrY5EyM61AL1Tw4vi9ZF4vqfKMfFq13796oVauW0W1sbGwwaNAgAHkzzd0pKSkJBw4cgEajweDBg8s0XiIiInPLyNZi+e4odHp/OyZ+fRg7zsSr657sFIpp/eqzACarZFFF8Nq1axEdHV1gWLQ7TZkyBfb29li2bFmBESDmzZuHrKwsjBkzBsHBwWUZLhERkdkkZeTgi21n0X7ONry9ORLXkzLh4+KA1P/G+yWydhbVHeKzzz4zOizanWrXro3FixdjzJgx6NWrFz744AMEBARgw4YNmDZtGpo1a4ZPPvmkfIImIiIqR5k5Wnzy+1ms3nsJqVl5BW+QlxPGdwzF0GbV4fjfBBdE1s5iimD9sGjz5s0r1jiFI0eORJ06dTBr1iz0798fqampqFmzJqZOnYpXXnml2GPIERERWRIHWw12nI5DalYu6lZ1xcTOoejbKAC2Nhb1x1+iMmcxRXCLFi0gIiXap3Xr1ti0aVMZRURERGR+Z2JTsHzPRbzZJxzO9nkTWrzRJxyZOTp0q+cHjcb0E1wQVQYWUwQTERHRbUcu38KXO87jt8hYAECorwseb18TANChjq85QyOyCCyCiYiILISIYPe5m/hyxznsOX8TQN4EFw9E+KNVTS8zR0dkWVgEExERWYCsXC2GfbUXR68kAgBsNQr63xeIiZ1rqdMbE1HxsQgmIiIyI61OsO9CAuLjbsI31RatannD5r9+vCKiPgzuYGuDAHdH/ButwfCWNfBEh5qo7ulsztCJLBqLYCIiIjPZeiIa0zdHIjYpA+Gegn9vRaGquxNe71UPiRk5WLIrCqvGtkIN77xi940+4XhnQAP4uDiYOXIiy8cimIiIyAy2nojGxNWHIbg9c5UAiE7KxKTvjqrbrfj7Iqb2jQAAtvwSmRCLYCIionKm1Qmmb46EfuBPARCboSD/QKA2CjC1bwQeblnDDBESVX4sgomIiMrZ/qgERCdlqq8FwI1Mw/F8tQLU9XfjDG9EZYTTxxAREZWzuJRMg9cKACcbgWFbcMHtiMh0WAQTERGVo0s307Biz6UCy2u6Cu6c283P1bF8giKyQuwOQUREVA7Ss3Px5fbzWPjnBWRrdbCzUZCjzWv5VZA36YWeAsDf3REtOQEGUZlhEUxERFSGRAQ/H4/Be/+LxPX/+gF3qOODbvX8MH1zZIHt9bXwtH4R6njBRGR6LIKJiIjKyNnYFEz78aQ6xXGghxPe6heBHhFVoSgK/N0d1XGC9fzdHTGtXwR6NggwV9hEVoFFMBERURk5cT0Je87fhIOtBk92CsXEzqEGoz30bBCA7hH+2HfhJuLjYuHrV9VgxjgiKjssgomIiExEpxNcS8xAkFfepBYD7gvE+bg0DGsRpC67k41GQetaXohzyYWfnxc0LICJygVHhyAiIjKBE9eSMGTBHgyavwcpmTkAAEVR8NIDdQstgInIfNgSTEREdA9upWXjg19P49v9lyECONvb4Pi1JLQN9TF3aERUBBbBREREpaDVCb7dfxlzfz2NxPS8lt8HG1fDlN7h8Hfn+L5EFR2LYCIiohLKyNZi6Fd7cOJaMgCgnr8r3n6wPlrX8jZzZERUXCyCiYiISsjJ3ga1fV1w6WY6JncPw4jWwbC14WM2RJaERTAREdFd5Gh1WLHnIno28Ed1z7yH3N7sG4E3+0bAx8XBzNERUWmwCCYiIirC7nM3MO3HkzgXl4pDl25h/ohmAMDil8jCsQgmIiIy4lpiBt77XyR+Ph4DAPCqYo/OdX0hIlAUjuVLZOlYBBMREeWTmaPF4r8u4Ivt55CZo4NGAUa1CcEL94fB3dnO3OERkYmwCCYiIspnxZ6LmPvrGQBAy5pemP5gfYQHuJk5KiIyNRbBRERk9bQ6gc1/0xWPahOCX07GYHTbEDzYuBq7PhBVUiyCiYjIaqVn5+KLbeewLyoB309oAxuNAid7G/wwsS2LX6JKjkUwERFZHRHBT8eiMfPnfxGdlAkA2H4qDvdHVAUAFsBEVoBFMBERWZXTMSmY9uMJ7L2QAACo7umEt/pGoFu4n5kjI6LyxCKYiIisQmaOFu9vPY0Vf1+EVidwsNXgqc61MaFTLTja2Zg7PCIqZyyCiYjIKtjbaHDo8i1odYIH6lfFm30iEOTlbO6wiMhMWAQTEVGldeJaEmr6VEEVB1toNAreG9AACWnZ6Bjma+7QiMjMNOYOgIiIyNQS0rLx+vrj6PfFLszbfk5d3iDQnQUwEQFgSzAREVUiWp3gm32XMPfXM0jKyAEAxKdkcapjIiqARTAREVUKBy8m4K1NJxEZnQwAqOfvihn9G6BlTS8zR0ZEFRGLYCIisnir9l7C1I0nAABujrZ46YG6eKRlDdjasNcfERnHIpiIiCxet3p+mG1vgwfvq4aXetSFt4uDuUMiogqORTAREVmcXWdv4O8LN/DyA/UAANU8nPDnK11Y/BJRsbEIJiIii3H1Vjre+9+/2HIiBgDQoY4vWtfyBgAWwERUIiyCiYiowsvM0eKrnRcwf+c5ZOboYKNRMLJ1MMID3MwdGhFZKBbBRERkVlqdYN+FBMTH3YRvqi1a1fKGjSZvODMRwe//xmHGTydxJSEDANCqphem96+Pev4sgImo9FgEExGR2Ww9EY3pmyMRm5SBcE/Bv7eiUNXdCdP6RaBngwBk5ujw5sbjiE3Ogr+bI97oE46+jQI45i8R3TMWwUREZBZbT0Rj4urDEBhOXxqdlIknVx/GghFN0bNBAKb2jcDJ68l4pkttVHHgry0iMg0OoEhEROVOqxNM3xwJybdMBAavp2+OhFYn6NuoGl7tWY8FMBGZFItgIiIqd/ujEhCdlKm+FgAXUxUIbndziE7KxP6oBDNER0TWgEUwERGVu7iUTIPXAiA9V4FhW3DB7YiITIVFMBERlTs/V8c7liioYpu/Hbiw7YiITINFMBERlbuWNb3gVcVOfa1AEOxyuwhWAAS4O6JlTS+zxEdElR+LYCIiKnc2GgUzBzZUXysA9KOe6Qvhaf0i1PGCiYhMjUUwERGVi9jkTIxbeRCXb6YDAHo2CMCCEU0R4G7Y5cHf3RHz/xsejYiorHC8GSIiKnO/R8bi5XX/4FZ6DtKycvHNuNYA8grh7hH+2HfhJuLjYuHrV9VgxjgiorLCIpiIiMpMZo4Ws7ecwvI9FwEA9au54d0BDQy2sdEoaF3LC3EuufDz84KGBTARlQMWwUREVCbOxaXgmW+O4FRMCgDgifY18XLPunCwtTFzZERELIKJiKgMHL58C48s2ovMHB18XOwxd2hjdK7rZ+6wiIhULIKJiMjkGlRzRx0/V3g42+HDhxpzvF8iqnBYBBMRkUkcv5qE8ABX2NpoYG+rwYqxLeHhZMc+vkRUIXGINCIiuidaneDT38+i/7xd+PSPs+pyryr2LICJqMJiSzAREZXa9cQMPL/mKPZHJQAAYpIyISJQFBa/RFSxsQgmIqJS2XoiBq/+cAxJGTmoYm+D9wY2xIAmgeYOi4ioWFgEExFRiWTmaPHOT5H4et9lAEDj6u74bHgTBHtXMXNkRETFxyKYiIhK5HpiBtYfvgYAeLJTKF7sHgZ7Wz5iQkSWhUUwERGVSC1fF8wZ0gieznboUMfX3OEQEZUKP7oTEVGRbqVl48lVh9SH3wDgwcbVWAATkUVjSzARERXq7/M38cKao4hJzsSpmGT8/mIn2Nqw/YSILB+LYCIiKiBXq8Onf5zFF9vPQQSo5VsFnz3chAUwEVUaLIKJiMjAlYR0PL/mKA5dugUAGNY8CNMejICzPX9lEFHlwTsaERGpLt9MR5/P/0JKZi5cHWwxc1BD9GtczdxhERGZHItgIiJSBXk5oX1tH8QmZ+LTh5sgyMvZ3CEREZUJFsFERFYu8noyAj2d4O5kB0VR8MHQxnC01bD/LxFVarzDERFZKRHB0l1RGDBvN6asPw4RAQC4ONiyACaiSo8twUREVuhmahZeXncM207FAQCycrXIytXB0c7GzJEREZUPFsFERFZm97kbeGHNUcSlZMHeVoM3eodjVJtgKIpi7tCIiMoNi2AiIiuRo9Xhw1/P4Ks/z0MEqO3ngs+HN0F4gJu5QyMiKncsgomIrERaVi42HrkGEWB4yxp4q28EnOzZ/YGIrBOLYCIiK+HhbI9PH74PN9Oy0bthgLnDISIyKxbBRESVVGpWLqZtOonWtbwwtHkQAKBVLW8zR0VEVDGwCCYiqoSOX03Cs98exsWb6fj1ZAx61PeHu5OducMiIqowWAQTEVUiOp1gya4ovP/LKeRoBdXcHfHJw01YABMR3YFFMBFRJRGfkoXJa//Bn2fiAQA96/tj9uCG8HC2N3NkREQVD4tgIqJKICUzB30++wtxKVlwsNXgrX4ReKRlDY79S0RUCBbBRESVgKujHYY0q44//o3D5480QVhVV3OHRERUobEIJiKyUFE30mCjKKjh7QwAeKF7GCZ1q8Opj4mIikFj7gCIiKhkRATrDl1Fn8/+wrPfHkZ2rg4AYGejYQFMRFRMFlMEp6WlYdasWWjRogU8PDzg7OyMWrVqoX///vjqq6+M7rNv3z4MGDAAvr6+cHJyQv369fHuu+8iKyurnKMnIjKNlMwcPL/mKF5a+w/Ss7VwsrdBWlauucMiIrI4FlEEnz17FvXr18f69evxxhtv4MiRIzh8+DCeeeYZ/PLLL3jnnXcK7PPNN9+gXbt2iI2Nxfr163HixAmMHTsW06dPR4cOHZCammqGTIiISu/I5Vvo89kubDp6HTYaBS/1CMPXT7SGZxWO/kBEVFIVvk9wWloaevToAT8/P/z5559wdHRU19WrVw+ZmZlYt26dwT7nz5/H2LFj4e3tjS1btsDDwwMAMHnyZGRlZeGNN97ACy+8gEWLFpVnKkREpaLTCRb8eR4f/XoGuTpBoIcTPhveBM2CPc0dGhGRxarwLcGzZs3CxYsX8e677xoUwHpTpkzB4cOHDZbNnDkTWVlZeOyxx9QCWO/pp5+Gg4MDli5disuXL5dl6ERExabVCfZeSMC+Czex90ICtDpR1+XqBFtPxCBXJ+jTKAA/P9eBBTAR0T2q0C3BWq0WS5cuhYODA7p27VrsfdavXw8A6NatW4H17u7uaNGiBXbt2oV169bhxRdfNGnMREQltfVENKZvjkRsUgbCPQX/3opCVXcnvNU3HL0aVoO9rQafPdwE+6MSMLR5dY79S0RkAhW6JfjEiROIjo5GSEgIkpOT8eqrryIiIgJeXl4IDQ3FmDFjcPLkSYN9zpw5g8TERAB53SWM0S8/cOBAmcZPRHQ3W09EY+Lqw4hOylSXCYDopExM/PoItp6IBgCE+FTBQy2CWAATEZlIhW4JPnbsGAAgIyMDzZo1Q8OGDTF//nz4+Pjgzz//xOuvv47vvvsOa9euRb9+/QDk9QfW8/f3N/q+AQEBBbY1Jisry2AkieTkZACATqeDTqcrfWLFpNPpICLlcqyKhrlbZ+6AdeWv1QlmbD4JBQIFgAaCLK389woABG9tPIFu9fxgo6ncxa81nXdjrDl/5m6+3Mvj+ObIsbjHqtBFcHx8PADg8uXLaNKkCTZu3AiNJq/xun79+ggJCUHv3r0xYsQInD9/Hj4+PmqhamNjAzs7O6Pv6+ycN7B8UlJSkcefNWsWpk+fbjSuzMxMI3uYlk6nQ1JSEkREzdtaMHfrzB2wrvxPRSfDU5MBz/+69yZlAVEpGgAKbBRBYBWBq10mdh8/j3oBbmaNtaxZ03k3xprzZ+7my708jm+OHFNSUoq1XYUugtPT09Wvn3nmmQLfvF69eiEsLAxnzpzBihUrMHnyZJMe//XXXzfoM5ycnIygoCD4+vrCza3sfyHpdDooigJfX1+rvDEwd+vLHbCu/PdF5+LfWwoEeV0g8F8LsAKBToCrqXmvk+AMPz8/c4VZLqzpvBtjzfkzd/PlXh7HN0eOxgZSMKZCF8FOTk7q1xEREUa3adasGc6cOYP9+/cDgFqcarVa5OTkGG0N1hfX7u7uRR7fwcEBDg4OBZZrNJpyO5GKopTr8SoS5m6duQPWk7+fmxN0MOzm4OMouJkJCBRIvu0q+/cCsJ7zXhhrzp+5my/38jh+eedY3ONU6KtN33cXALy8vIxu4+rqCgC4desWACA0NFRdFxMTY3Sf6OjoAtsSEZW3ljW9EOB+u8VCgaCq0+0ewQqAAHdHtKxp/P5HRESlV6GL4CZNmqhfx8bGGt1Gv9zzv051YWFhagvvqVOnjO6jX96iRQuTxUpEVBIiAhuNgmn9IgyKXtzx9bR+EZX+oTgiInOo0EVweHg4wsLCAAD//POP0W0iIyMBAG3btgWQ90DcoEGDAAB//PFHge2TkpJw4MABaDQaDB48uCzCJiIq0qFLCRgwbzfiU7LQs0EA5o9oatAiDAD+7o6YP6IpejYIKORdiIjoXlToIhgA3njjDQDA/PnzkZuba7Du559/xtmzZ+Ht7Y3Ro0ery6dMmQJ7e3ssW7aswAgQ8+bNQ1ZWFsaMGYPg4OCyT4CIKJ+fjl3H8EX78M/VJHz022kAQM8GAdj1alesfqI1xneohdVPtMauV7uyACYiKkMVvggeNWoUxo0bh8jISAwaNAgHDhzApUuXsGrVKowePRpubm5Yt26dwfTItWvXxuLFi3Hjxg306tULu3fvxoULF/Dhhx9i2rRpaNasGT755BOz5URE1kdEMH/HeTzzzRFk5+rQPaIqpva9/cCvjUZB61peaFXLG61rebELBBFRGavQo0PoLVy4EN26dcOCBQvQvXt3ZGRkIDAwEEOHDsXLL7+MmjVrFthn5MiRqFOnDmbNmoX+/fsjNTUVNWvWxNSpU/HKK68Ue/gMIqJ7laPV4a1NJ/Dt/isAgMfaheDNPuzrS0RkThZRBAPAsGHDMGzYsBLt07p1a2zatKmMIiIiuruUzBw8/c0R/HkmHooCvNU3Ao+1K/jBnYiIypfFFMFERJZIqxNcvZUOJzsbfDa8CbpHVDV3SEREBBbBRERlysPZHsvGtEBSRg4aVfcwdzhERPQfFsFERCa2/XQcYpMy8XDLGgCAYO8qZo6IiIjuxCKYiMiEVu+9hGk/noSIINTPBS1CONsbEVFFxCKYiMgEdDrBnK2n8NWfFwAAQ5pVR2N2fyAiqrBYBBMR3aPMHC1e/P4ofj4eAwB4sXsYnu1aG4rCIdCIiCoqFsFERPfgZmoWnlh5EEcuJ8LORsH7QxphYJPq5g6LiIjugkUwEdE92HIiBkcuJ8LdyQ5fjWyG1rW8zR0SEREVA4tgIqJ78GirGriRmoW+jaqhtp+LucMhIqJi0pg7ACIiS/N7ZCxSMnMAAIqi4Pn7w1gAExFZGBbBRETFJCL4YttZPLHyIJ7+5ghytTpzh0RERKXE7hBERMWQo9XhjQ3H8f3BqwCAulVdoOHoD0REFotFMBHRXSRn5uCp1Yex69wNaBRg+oP1MbJNiLnDIiKie8AimIioCNcSM/DYsv04E5sKZ3sbfD68CbqFVzV3WEREdI9YBBMRFUJEMHH1IZyJTYWfqwOWjmmBBoHu5g6LiIhMgA/GEREVQlEUzBrUEE1reGDj0+1YABMRVSIsgomI7nDpZpr6df1q7vhhYltU83AyY0RERGRqLIKJiP6j1Qne+SkS3T/+E4cuJajLFY4CQURU6bAIJiICkJGtxVNfH8KSXVHIztXh2NUkc4dERERliA/GEZHVi0/JwhMrD+KfK4mwt9Fg7kON8WDjauYOi4iIyhCLYCKyaufiUjBm2QFcvZUBD2c7LBzZHC1repk7LCIiKmMsgonIal2IT8WgL/cgOTMXwd7OWDamBWr5upg7LCIiKgcsgonIaoV4V0HbUB/EpWRi0ajm8HZxMHdIRERUTlgEE5FVERHk6gR2NhpoNAo+efg+AICjnY15AyMionLFIpiIrEZ2rg6vrT8GnU7w8bD7oCgKi18iIivFIdKIyCokpedg9NL9WH/4GjYfi+YQaEREVo4twURU6V1JSMeYZftxPj4NVextMO/Rpmgc5GHusIiIyIxYBBNRpXb0SiKeWHEAN1Kz4e/miKVjWiCimpu5wyIiIjMrUXeIGTNmID09vaxiISIyqd8iY/Hwwr9xIzUb4QFu2PB0WxbAREQEoIRF8PTp05GWllZWsRARmVQVBxtodYJOYb5Y+2QbBLg7mTskIiKqIErUHUJE0LNnT/Tu3Rs9e/ZEmzZtoNHw2Toiqpjahvrgu/Ft0Li6O2xteK8iIqLbSvxbYdiwYYiMjESfPn3g4+ODhx56CEuXLsX169fLIj4iomJLz87FC2uO4mxsirqsWbAnC2AiIiqgxL8ZxowZgx9++AE3b97Exo0bUadOHcybNw9BQUFo3LgxXnvtNezYsQO5ubllES8RkVFxyZkY9tVebDhyDU+uPgStTswdEhERVWAlKoKjoqLg6+sLALCxsUHHjh3x3nvv4dChQ4iOjsZLL72EK1eu4KGHHoK3tzcGDhyIhQsX4vLly2USPBERAJyJTcHAL/fg+LUkeFWxx/tDGsNGo5g7LCIiqsBKVAQHBwdDUYz/YvHz88PIkSPx9ddfIzY2Fr///jvs7e0xceJE1KxZE/Xr1zdJwERE+e06ewODv9yDa4kZqOVTBRueaotmwZ7mDouIiCo4k44TnJGRgd9//x1btmzBli1bcPnyZYjk/Uny1KlTpjwUERG+P3gFU9YfR65O0DLEC1+NbAbPKvbmDouIiCzAPRfBZ86cwc8//4wtW7bgzz//RHZ2NoC8kSQURUHz5s3Rq1cv9OrV656DJSLS0+kE6w9fRa5O8GDjavhgaCM42NqYOywiIrIQJS6CMzMzsX37drXwjYqKAgC1xdfLyws9evRA79698cADD6h9iImITEmjUfDViOZYe+gKxrarCQ37ABMRUQmUqAju3bs3du7ciczMTLXoVRQFzZo1U1t7W7ZsybGDiahMJKZn46dj0RjROhgA4O5shyc61DJzVEREZIlKVARv3boVQF7h27dvXzz00ENs7SWicnHpZhoeW34AF+LTIABG/lcIExERlUaJiuDvv/8eW7ZswdatW/Hrr78iIyMDcXFx6N27N+rVq1dWMRKRlTt8+RaeWHEQCWnZqObuiJYhXuYOiYiILFyJ+i0MGTIES5YswbVr17Bv3z5069YNGzduRMOGDRESEoInn3wSmzZtQlpaWlnFS0SVmFYn2HshAfsu3MTeCwnQ6gRbjkdj+MK9SEjLRoNAN2x4uh3q+ruaO1QiIrJwpR4donHjxuoMcUlJSfj111+xdetWPPXUU7h58ybatWun9hPmGMFEdDdbT0Rj+uZIxCZlINxTEHkrCi6OdkjNzIUA6FbPD58Nb4IqDiYd2ZGIiKyUSZ5gc3d3x9ChQ9VW4r179+L+++/HunXr0KhRI9SoUQMTJkwwxaGIqBLaeiIaE1cfRnRSpsHylP8K4E5hvlg4qjkLYCIiMhmTD+Nw6dIl7Nu3D/v27cO///4LALh69SoWL15s6kMRUSWg1Qmmb46E3LE8/4Bnp2OSyzMkIiKyAiVqVunatSvWr18PDw8PdVl2djZ27typPjB3+vRpALfHDba3t0f79u05WQYRGbU/KsGgBfjOYhgAYpKzsD8qAW1CvcsvMCIiqtRKVATv2LEDOTk5OH/+vFr07tixAxkZGQBuF741a9ZEz5490bNnT3Tt2hVVqlQxfeREVCnEpRh2gRAAubq7b0dERHQvStzBrnnz5rh69SqA20Wvo6MjOnXqhJ49e6JXr14ICwszbZREVGn5uToWWKY10hxsbDsiIqLSKnERfOXKFQBAnTp10KtXL/Ts2ROdO3eGoyN/QRFRyYX6VoGtRkGu7r9ZKAE42NxerwDwd3dEy5ocG5iIiEynxEXwBx98gEGDBqFmzZplEQ8RWZGbqVkYtXS/WgADhg/E6b+e1i8CNhoFREREplLi0SFGjhzJApiI7tnN1Cw8ungfTsWkwM/VAW/3i0CAu+FflPzdHTF/RFP0bBBgpiiJiKiyKlFL8OjRo+Hk5FTigyQnJ+P555/H0qVLS7wvEVVO6dlapGTmws/VAd+Ob41QXxeMbBOCfRduIj4uFr5+VdGqljdbgImIqEyUqCV45cqV6kgQJZGRkYEVK1aUeD8iqryCvJzx3fjWagEMADYaBa1reaFVLW+0ruXFApiIiMpMiVqCRQRz586Fi4tLiQ6Smppaou2JqHJKSMvGiWtJ6BjmCyCvECYiIjKHEj8Y9+GHH5b4ICICRWGLDpE1S0jLxiOL9uJcXCq+GtkM3cKrmjskIiKyYiUqgh0dHZGZmQlvb280aNCg2PtlZ2dj7969JQ6OiCoHfQF8KiYFvq4OCPHhBDpERGReJSqCo6KiMGfOHCxcuBB2dnaYOnUqOnTocNf9YmJiEBgYWOogichy3VkAf5evDzAREZG5lOjBuKpVq+Kjjz5CVFQU7rvvPvTu3RudO3fGtm3bitzPwcEBHTt2vKdAicjysAAmIqKKqsTjBAOAr68v3n//fURFRaFNmzYYOHAg2rZti61btxrd3tPTE9u3b7+nQInIsiRn5rAAJiKiCqtURbCej48PZs2ahYsXL6Jbt24YPnw4WrRogR9//NFU8RGRhXKxt0XDQHcWwEREVCHdUxGs5+npiXfeeQcXL15Enz59MGbMGDRu3Bjr1q0zxdsTkQXSaBTMGdwIm59pzwKYiIgqHJMUwXru7u54++23sWPHDkRHR2PYsGEYO3asKQ9BRBVYQlo25v5yGrlaHYC8Qtj/jqmQiYiIKgKTFsGXLl3C+PHj0bJlS9y8eRMiAhEx5SGIqIJKSMvGo4v34Yvt5zDjp0hzh0NERFQkkxTBly5dwrhx4xAWFoYlS5YgOzsbYWFhWLVqFZYsWWKKQxBRBaYvgP+NToaPiwNGtQkxd0hERERFKvGMcfldvHgR7733HlauXInc3FyICOrWrYs333wTw4cPh0Zj0oZmIqqA7iyAvxvfGrX92AeYiIgqtlIVwRcvXsS7776LVatWGRS/U6dOxcMPP8zil8hKsAAmIiJLVaJqNSoqCo8//jjq1q2LZcuWIScnB2FhYVi9ejUiIyPxyCOPGC2Ab926ha5du5osaCIyPxHB4ysO5CuAW7EAJiIii1GiluC6detCq9VCRFCvXj1MnToVw4cPv+t+2dnZ2LlzZ6mDJKKKR1EUvHB/GKZsOI7lj7VAbT9Xc4dERERUbCUqgnNzc6EoCry9vdGyZUv89ttv+O233+66X0ZGRqkDJKKKq2OYL7ZN7gx7W3aBIiIiy1LiPsGtW7eGvb09Ll26VOx9srOzS3oYIqqAbqVl44Xvj2Jq3wh1AgwWwEREZIlKXARv2LABfn5+JdonJiYGgYGBJT0UEVUgt/57CC4yOhlxyUfwv0ntoSiKucMiIiIqlRI14QQHB8PGxqbEB3FwcEDHjh1LvB8RVQz5C2AfFwd8+vB9LICJiMiilaglOCoqqlQH8fT0xPbt20u1LxGZV2J6NkYsuV0AfzuuFepU5UNwRERk2diZj4gKlZie1wJ88noyfFzsWQATEVGlwSKYiAo18+d/8xXArVkAExFRpXFP0yYTUeX2Rp8I3EzNxmu96rEAJiKiSoVFMBEZyM7VqcOeuTvZYcmYFmaOiIiIyPTYHYKIVInp2Rg0fzeW7CrdQ7BERESWgkUwEQG4/RDciWvJmL/jHBLTOckNERFVXiyCichgFAjvKvb4ZlxreDjbmzssIiKiMsMimMjK6ccB1hfA345vjTA+BEdERJUci2AiK6YvgE9cYwFMRETWhUUwkRX7NTKWBTAREVmlCl8EL1++HIqiFPnv6NGjRvfdt28fBgwYAF9fXzg5OaF+/fp49913kZWVVb5JEFVQDzUPwrR+ESyAiYjI6ljEOMFOTk6oUaNGoesdHR0LLPvmm28watQotGjRAuvXr0e1atWwceNGvPbaa/jxxx+xbds2uLi4lGXYRBVSUnoONBrA1dEOAPBYu5pmjoiIiKj8WUQR3LJlS+zYsaPY258/fx5jx46Ft7c3tmzZAg8PDwDA5MmTkZWVhTfeeAMvvPACFi1aVDYBE1VQSek5GLFkH+xtNVj+WAu1ECYiIrI2Fb47RGnMnDkTWVlZeOyxx9QCWO/pp5+Gg4MDli5disuXL5snQCIz0BfAx68lIepGGmKT2S2IiIisV6UrgrVaLdavXw8A6NatW4H17u7uaNGiBXQ6HdatW1fe4RGZRf4C2KuKPb4d1xq1/dgdiIiIrJdFFMEpKSmYMWMGmjdvDj8/PwQGBqJbt25YsGABsrMNZ7U6c+YMEhMTAQD16tUz+n765QcOHCjTuIkqAmMFcF1/PgRHRETWzSL6BB8+fBh+fn6YPn06atasiejoaHz55ZeYOHEili5dil9++QWenp4A8voD6/n7+xt9v4CAgALbGpOVlWUwkkRycjIAQKfTQafT3VNOxaHT6SAi5XKsioa5myb3pIwcjFy6HyeuJcPL2Q5fP94SdfyqVOjvK889c7dG1pw/czdf7uVxfHPkWNxjVfgiOCIiAnPnzsXkyZMNlnXr1g0PPvggNm/ejLFjx2LDhg0AbheqNjY2sLMz/tCPs7MzACApKanIY8+aNQvTp08vsDw+Ph6ZmZmlyqckdDodkpKSICLQaCyi0d5kmLtpco9KyMC1hHR4ONni80F14KnJQFxchokiLRs898zd2nIHrDt/5m6+3Mvj+ObIMSUlpVjbVfgiuGXLlmjZsqXRddOmTcPmzZuxceNGnD17FnXq1DHpsV9//XW8+OKL6uvk5GQEBQXB19cXbm5uJj2WMTqdDoqiwNfX1ypvDMz93nP38wO+GecFAVDPQrpA8Nwzd2vLHbDu/Jm7+XIvj+ObI0djQ+caU+GL4KI0btwYNjY20Gq12L17N+rUqaMWp1qtFjk5OUZbg9PT0wHkPSRXFAcHBzg4OBRYrtFoyu1EKopSrserSJh76XJPSs/BufhUNAvO6yIUXq3o67wi4rln7tbImvNn7ubLvTyOX945Fvc4Fn212drawsfHBwCQkJAAAAgNDVXXx8TEGN0vOjq6wLZElUFSeg5GLt2HRxfvxd/nb5o7HCIiogqrQhfBGRkZ+Omnn5CWlmZ0fW5uLm7cuAEA6njAYWFhagvvqVOnjO6nX96iRQsTR0xkPvoC+NjVJDjb28KzCifCICIiKkyFLoJjY2PRr1+/QocyO378OLRaLQCgdevWAPIeiBs0aBAA4I8//iiwT1JSEg4cOACNRoPBgweXUeRE5St/AexVxR7fjGuFev5l32+diIjIUlXoIlhvxYoVRpe/8847AIAePXogIiJCXT5lyhTY29tj2bJlBUaAmDdvHrKysjBmzBgEBweXXdBE5YQFMBERUclV6CLYxsYGiqJg+fLlGD16NP766y9cunQJe/fuxaOPPooNGzYgIiKiQJFcu3ZtLF68GDdu3ECvXr2we/duXLhwAR9++CGmTZuGZs2a4ZNPPjFPUkQmlJxpWAB//QQLYCIiouKo0EVwUFAQTp06hWnTpuH8+fMYMGAAQkND0atXL1y8eBEffvghDhw4YHRSjJEjR2L37t3w9fVF//79ERERgcWLF2Pq1KnYtWsXXF0tY7gooqI42dkgwN1RLYDDA1gAExERFUeFHyItLCwMb7/9Nt5+++0S79u6dWts2rTJ9EERVRB2Nhp88UhTXE/MQLB3FXOHQ0REZDEqdEswERWUlJGDhX+eh04nAPIKYRbAREREJVPhW4KJ6LakjByMWrIP/1xNws20bLzeK9zcIREREVkktgQTWYj8BbCnsx36Nw40d0hEREQWi0UwkQW4swD++onWiKjGh+CIiIhKi0UwUQWXlJGDUUv3swAmIiIyIfYJJqpAtDrBvgsJiI+7Cd9UW7QI8cLY5Qfwz5VEFsBEREQmxCKYqILYeiIa0zdHIjYpA+Gegn9vRaGquxP6NgrA5YR0rHisJQtgIiIiE2ERTFQBbD0RjYmrD0Ng2EcpJikTi/+KwicPN2YBTEREZELsE0xkZlqdYPrmSMh/rwXAlVQF8t/XADB7y2lodWL8DYiIiKjEWAQTmdn+qAREJ2WqrwVAco5iUBRHJ2Vif1SCOcIjIiKqlFgEE5lZXErmHUsUaCBQ7rodERERlRaLYCIz83N1vGOJoIZLwSK44HZERERUWiyCicysZU0vuDrefkZVAVDFDgavA9wd0bKmV7nHRkREVFmxCCYys60nYpCSmau+zt8CrP96Wr8I2GjubBsmIiKi0mIRTGRmzUM8Uc/fFfeH+yHA3bDLg7+7I+aPaIqeDQLMFB0REVHlxHGCicysqpsjfpjYFk52NhAA+y7cRHxcLHz9qqJVLW+2ABMREZUBFsFEZnD5ZjqOX0tCn0Z5LbxVHG7/KLau5YU4l1z4+XlBwwKYiIioTLAIJipnN1OzMHrZfkTdSENmTmMMblbd3CERERFZHfYJJipH6dm5GLviIKJupCHQwwnt6/iYOyQiIiKrxCKYqJzkanV45psj+OdKIjyc7bBibEtUdePYv0RERObAIpioHIgIpmw4jm2n4uBgq8GS0c1R28/F3GERERFZLRbBROXg49/P4vuDV6FRgM+HN0GzYE58QUREZE4sgonKmIggR6sDALwzoAF61Pc3c0RERETE0SGIypiiKHi1Zz30iKiKJjU8zR0OERERgS3BRGXmTGwKMnO06msWwERERBUHi2CiMnAuLhUPffU3Ri3Zj6SMHHOHQ0RERHdgEUxkYrHJmRi9dD8S03OQpdXBzoazvhEREVU0LIKJTCg5Mwdjlh3AtcQM1PSpgqWjm8PZnl3viYiIKhoWwUQmkpWrxZOrDuHf6GT4uDhg5diW8HZxMHdYREREZASLYCIT0OkEL609hj3nb6KKvQ2WP9YCQV7O5g6LiIiICsEimMgErtxKx19n42GrUbBgZDM0CHQ3d0hERERUBHZWJDKBYO8qWPdkG5yJTUWHOr7mDoeIiIjugkUw0T1Iy8pFFYe8H6Pafq6o7edq5oiIiIioONgdgqiU9py7gQ7vb8fuczfMHQoRERGVEItgolKIvJ6MCasOISEtG98fvGLucIiIiKiEWAQTldDVW+kYs2w/UrJy0aqmF+YMbmTukIiIiKiEWAQTlcCttGyMXrofcSlZqFvVFQtHNYejnY25wyIiIqISYhFMVEyZOVo8sfIgzsenIcDdEcvHtoC7k525wyIiIqJSYBFMVEyL/7qAQ5duwc3RFivGtkSAu5O5QyIiIqJS4hBpRMU0vmMoriRkYHCz6giryqHQiIiILBmLYKJisrfVYM4QPgRHRERUGbA7BFERvj9wBW9tOgGtTswdChEREZkQW4KJCrHtVCxe33AcWp2gaQ1PDGgSaO6QiIiIyETYEkxkxNEriXj66yPQ6gSDmgai/33VzB0SERERmRCLYKI7XIhPxdjlB5CRo0XHMF/MGdwIiqKYOywiIiIyIRbBRPnEp2Rh9LL9SEjLRsNAd8x/tCnsbPhjQkREVNnwtzvRf3Q6wRMrD+JKQgZqeDlj6ZgWqOLAbvNERESVEYtgov9oNAqe7hyKQA8nrBjbEr6uDuYOiYiIiMoIm7mI8ulR3x+d6vrCwdbG3KEQERFRGWJLMFm9JbuicCUhXX3NApiIiKjyYxFMVm357ii881MkBs/fg6SMHHOHQ0REROWERTBZrf8di8b0nyIBAKPaBMPdyc7MEREREVF5YRFMVmnvhZt4Yc1RiAAjWwfj6S61zR0SERERlSMWwWR1TsekYNzKg8jW6tAjoirefrA+J8MgIiKyMiyCyapcT8zA6KX7kZKZi+bBnvhseBPYaFgAExERWRsOkUZWxdZGgY+rPVwcbbF4dHM42nEkCCIiImvEIpisip+rI74b3wapmbnwcLY3dzhERERkJuwOQZWeVifYc+6G+trFwRb+7o5mjIiIiIjMjUUwVWoighmbT+KRxfvw1c7z5g6HiIiIKggWwVSpLdh5ASv+vgRFAQI9ncwdDhEREVUQLIKp0lp/+CrmbD0FAJjaJwJ9G1Uzc0RERERUUbAIpkpp55l4vLLuGABgfMdaGNu+ppkjIiIiooqERTBVOsevJmHi6kPI1QkG3FcNr/WsZ+6QiIiIqIJhEUyVzt8XbiA9W4v2tX3w/pDG0HAyDCIiIroDxwmmSmd8x1AEuDuhc11f2Nvycx4REREVxCKYKoX07FwoUOBknzcDXL/GfAiOiIiICsdmMrJ4OVodnv76MB5dvBe30rLNHQ4RERFZALYEk0UTEbyx4Ti2n46Ho50GlxLS4VmF0yETERFR0dgSTBbto9/O4PuDV6FRgM+HN8V9QR7mDomIiIgsAItgslir917C59vOAQDeG9gQ3SOqmjkiIiIishQsgski/XIyBm9tOgEAeK5bHQxvWcPMEREREZElYRFMFicrV4sZmyOhE2B4yyA8f38dc4dEREREFoZFMFkcB1sbrH6iFUa2DsY7/RtAUTgZBhEREZUMR4cgiyEiasFb06cK3hnQwMwRERERkaViSzBZhOTMHAxZ8Dd2nok3dyhERERUCbAIpgovK1eL8SsP4tClW3j9h2PIzNGaOyQiIiKycOwOQRWOVifYdyEB8XE34Z1ig2/3X8HeCwlwcbDFwlHN4WhnY+4QiYiIyMKxCKYKZeuJaEzfHInYpAyEewpO3ooCoECjAAtGNEODQHdzh0hERESVAItgqjC2nojGxNWHIcjrp3MjEwDyHoTTCZCalWPG6IiIiKgyYZ9gqhC0OsH0zZGQ/14LgNiM25enAmD65khodWJsdyIiIqISYRFMFcL+qAREJ2UaLPOwF+C/slgARCdlYn9UQvkHR0RERJUOi2CqEOJSDAtgBUA1Z8Gd02DcuR0RERFRaVhkEfzCCy9AURSEhISYOxQyET9XxwLLFAUFimBj2xERERGVlMUVwfv27cNnn31W7G0HDBgAX19fODk5oX79+nj33XeRlZVVxlFSSTUP9oSjbeGXowIgwN0RLWt6lV9QREREVGlZVBGcnZ2Nxx9/HNWrV7/rtt988w3atWuH2NhYrF+/HidOnMDYsWMxffp0dOjQAampqeUQMRXX59vOIjNXZ3SdvjV4Wr8I2GjubBsmIiIiKjmLKoJnzpyJa9euYfbs2UVud/78eYwdOxbe3t7YsmULOnTogNDQUEyePBnTp0/HgQMH8MILL5RT1HQ3m/+5js+2nQMAjGoTjAB3wy4P/u6OmD+iKXo2CDBHeERERFQJWcw4wSdPnsSsWbPw5ZdfIiCg6GJo5syZyMrKwmOPPQYPDw+DdU8//TRmzJiBpUuXYurUqahRo0YZRk13c+xqIl5a+w8AYFyHmnijTwSm9auPfRduIj4uFr5+VdGqljdbgImIiMikLKIlWKfT4fHHH0f79u3x+OOPF7mtVqvF+vXrAQDdunUrsN7d3R0tWrSATqfDunXryiReKp7Y5EyMW3kQWbk6dKnri9d6hQMAbDQKWtfyQqta3mhdy4sFMBEREZmcRRTBn376KY4dO4aFCxfeddszZ84gMTERAFCvXj2j2+iXHzhwwGQxUsmdi0tFSmYu6vi54LPhTVjsEhERUbmp8N0hoqKi8Oabb2LGjBkIDQ296/bnz59Xv/b39ze6jb47Rf5tjcnKyjIYSSI5ORlAXsu0Tmf8IS5T0ul0EJFyOZY5tKnlhbUTWsPZ3gZV7G0M8qzsuRfFmnMHrDt/5m6duQPWnT9zN1/u5XF8c+RY3GNV+CJ43LhxCA8PL/aDbPpC1cbGBnZ2dka3cXZ2BgAkJSUV+V6zZs3C9OnTCyyPj49HZmbZT9qg0+mQlJQEEYFGYxGN9sWSnq2Fs70NAMDbBoAWiItLM9imsuZeHNacO2Dd+TN368wdsO78mbv5ci+P45sjx5SUlGJtV6GL4CVLlmDnzp04ePAgbGxsyv34r7/+Ol588UX1dXJyMoKCguDr6ws3N7cyP75Op4OiKPD19a00N4ZfTsbgrR//xfxHm6BpDc9Ct6uMuReXNecOWHf+zN06cwesO3/mbr7cy+P45sjR0bF4E2tV2CI4OjoaL730El555RU0bty42Pvpi1OtVoucnByjrcHp6ekA8h6SK4qDgwMcHBwKLNdoNOV2IhVFKdfjlaWT15Pw4vfHkJGjxc/HY9E8xLvI7StT7iVlzbkD1p0/c7fO3AHrzp+5my/38jh+eedY3ONU2Kvt119/RWJiIj7++GO4uLgY/OvVqxcA4PLlywbLARj0G46JiTH63tHR0QW2pbIVn5KFcSsOIiNHi/a1fTClt/GHFomIiIjKQ4VtCR40aBDatWtndN2+ffswYsQIVKtWDTt27DBYFxYWBnd3dyQlJeHUqVMICgoqsP+pU6cAAC1atDB53FRQVq4WE1YdxPWkTNTyqYJ5jzSFrU2F/fxFREREVqDCFsGurq5wdXU1uu7q1asAAFtbW9SuXdtgnY2NDQYNGoRly5bhjz/+QPfu3Q3WJyUl4cCBA9BoNBg8eHDZBE8qEcHr64/j8OVEuDnaYvHo5nB3Nv7AIhEREVF5qZTNcVOmTIG9vT2WLVtWYASIefPmISsrC2PGjEFwcLCZIrQeaw9dxfrD12CjUTDv0aao5eti7pCIiIiILKsIjo+PR0xMDBISEgDkPfwWExODmJgYpKamqtvVrl0bixcvxo0bN9CrVy/s3r0bFy5cwIcffohp06ahWbNm+OSTT8yUhXXp2ygAvRr4Y2qfcHSo42vucIiIiIgAWFgR3KJFCwQEBKjdGK5evYqAgAAEBARg7ty5BtuOHDkSu3fvhq+vL/r374+IiAgsXrwYU6dOxa5duwrtakGm5Wxviy8fbYrRbUPMHQoRERGRqsL2CTbm4sWLJdq+devW2LRpU9kEQ4VKSMvGpqPXMKZtCBRFgaJwOmQiIiKqWCyqCKaKLztXh4mrD2FfVAKikzIxpXe4uUMiIiIiKsCiukNQxSYimPbjCeyLSoCLgy2GNKtu7pCIiIiIjGIRTCazYs9FfLv/ChQF+Gz4fQiryn7XREREVDGxCCaT+PNMPGb8FAkAeL1XPXStV9XMEREREREVjkUw3bPz8al4+pvD0AkwpFl1jOtQy9whERERERWJRTDds1PRKcjM0aJZsCfeG9iAo0EQERFRhcfRIeie9WkUgKpuDgj2rgIHWxtzh0NERER0VyyCqdTSs3PhbJ93CTUP8TJzNERERETFx+4QVCqr917CA5/8iTOxKeYOhYiIiKjEWARTie05fwNv/3gSVxIy8Me/ceYOh4iIiKjEWARTiVy6mYanvj6MXJ3gwcbV8GQnjgRBRERElodFMBVbSmYOHl9xEInpOWhc3R3vD2nEkSCIiIjIIrEIpmLR6gSTvj2Cc3Gp8HdzxKJRzeFox5EgiIiIyDKxCKZiWbDzPLafjoejnQaLRjWHn5ujuUMiIiIiKjUOkUbF8mirGthz/gaGt6yBhtXdzR0OERER0T1hEUzF4uFsj9WPt2IfYCIiIqoU2B2CCnX1VjrWHLisvmYBTERERJUFW4LJqLSsXDyx4iBOxaQgOSMX4zpyKDQiIiKqPNgSTAXodIIX1hzFqZgU+Lg4oE+jAHOHRERERGRSLIKpgA9/O41fI2Nhb6vBwlHNUM3DydwhEREREZkUi2AysOnoNczbfh4AMHtQQzSt4WnmiIiIiIhMj0UwqY5cvoWX1x0DADzZKRSDmlY3c0REREREZYNFMKlOXEtCjlaH+8P98PIDdc0dDhEREVGZ4egQpBrZJgTB3lXQNNgTNhoOh0ZERESVF4tgKyciyMzRwcneBgDQMczXzBERERERlT12h7Byn/1xDgO/3I2rt9LNHQoRERFRuWERbMV+Ph6Nj38/g1MxKdh7IcHc4RARERGVGxbBVurEtSS8+P1RAMDYdjUxpBlHgiAiIiLrwSLYCsUlZ2LcyoPIzNGhU5gvpvSuZ+6QiIiIiMoVi2Ark5mjxfhVhxCdlIlQ3yr4/JEmsLXhZUBERETWhdWPlZm95RSOXkmEu5MdFo9uATdHO3OHRERERFTuOESalXmyUyiOXknEyw/URU2fKuYOh4iIiMgsWARbGX93R6yf2BYaToZBREREVozdIazAqZhk/O9YtPqaBTARERFZO7YEV3I3U7Pw+PKDuJaYgWxtYwxswqHQiIiIiNgSXIll5+rw5OpDuJaYgWBvZ3Sp62fukIiIiIgqBBbBlZSI4M2Nx3Hg4i24Othiyejm8HC2N3dYRERERBUCi+BKasmuKHx/8Co0CvD5I01Q28/V3CERERERVRgsgiuh7afjMPPnfwEAb/SJQGd2gyAiIiIywCK4EjpyORE6AYY1D8LYdiHmDoeIiIiowuHoEJXQi93D0CjQHR3DfKEoHA6NiIiI6E4sgiuJHK0OOhE42NoAAO6PqGrmiIiIiIgqLnaHqCRmbI7EiMX7cCM1y9yhEBEREVV4LIIrgVV/X8SqvZdw8NItHL+WZO5wiIiIiCo8FsEWbve5G3h7cyQA4JUH6nFCDCIiIqJiYBFswaJupOGprw9DqxMMahKIJzvVMndIRERERBaBRbCFSsrIweMrDiApIwdNanhg5qCGHAmCiIiIqJhYBFuoKRuO40J8GgLcHfHVyGZwtLMxd0hEREREFoNDpFmoF7uH4eKNNMwZ3Ah+ro7mDoeIiIjIorAItlChvi7Y/Ex7aDTsAkFERERUUuwOYUH2RyVg19kb6msWwERERESlwyLYQlxJSMeTqw9h9LL92Hkm3tzhEBEREVk0doeooLQ6wb4LCYiPuwmXBAVzfjmFhLRsNAx0R8sQL3OHR0RERGTRWARXQFtPRGP65kjEJmWgnocgMjEKgAJ3JzssGtUcTvYcCYKIiIjoXrA7RAWz9UQ0Jq4+jOikTABAXIYCIK/vb1JGDo5euWXG6IiIiIgqBxbBFYhWJ5i+ORLy32sBcCPr9sNvCoDpmyOh1Ymx3YmIiIiomFgEVyD7oxLUFmAAkDu+EgDRSZnYH5VQ3qERERERVSosgiuQuJRMg9cKgKAqOtw5ENqd2xERERFRybAIrkDunPlNAeBmjwJFMGeIIyIiIro3LIIrkJY1vRDg7lig6NVTAAS4O6JlTQ6RRkRERHQvWARXIDYaBdP6RQAo2Pqrfz2tXwRsOFMcERER0T1hEVzB9GwQgPkjmsLf3bDLg7+7I+aPaIqeDQLMFBkRERFR5cHJMiqgng0C0D3CH/su3ER8XCx8/aqiVS1vtgATERERmQiL4ArKRqOgdS0vxLnkws/PCxoWwEREREQmw+4QRERERGR1WAQTERERkdVhEUxEREREVodFMBERERFZHRbBRERERGR1WAQTERERkdVhEUxEREREVodFMBERERFZHRbBRERERGR1WAQTERERkdVhEUxEREREVodFMBERERFZHRbBRERERGR1bM0dgCUREQBAcnJyuRxPp9MhJSUFjo6O0Gis6/MKc7fO3AHrzp+5W2fugHXnz9zNl3t5HN8cOerrNH3dVhgWwSWQkpICAAgKCjJzJERERERUlJSUFLi7uxe6XpG7lcmk0ul0uH79OlxdXaEoSpkfLzk5GUFBQbhy5Qrc3NzK/HgVCXO3ztwB686fuVtn7oB158/czZd7eRzfHDmKCFJSUlCtWrUiW5/ZElwCGo0G1atXL/fjurm5Wd2NQY+5W2fugHXnz9ytM3fAuvNn7ubLvTyOX945FtUCrGddnW+IiIiIiMAimIiIiIisEIvgCszBwQHTpk2Dg4ODuUMpd8zdOnMHrDt/5m6duQPWnT9zN1/u5XF8c+dYFD4YR0RERERWhy3BRERERGR1WAQTERERkdVhEUxEREREVodFMBERERFZHRbBRERERGR1WAQTERERkdVhEUxEREREVodFMBEREREVSqfTmTuEMsEiuJKw5jlPrDl3wLrzZ+7Wy5rzZ+7Wq7zz//bbb3HhwgVoNOVXLpZnjrbldiS6ZyICRVEAAHFxcYiOjoaIwNPTE0FBQeq6/NtVRtacOwBERUXh6tWrSE1NRbVq1VCjRg14enqaO6wyw+s+jzXnDlh3/tacu7Xd7+5kznP/8ssv48MPP8QzzzyDuXPnwt7evkyOc/PmTVy/fh25ubnw9PREjRo1yu/6FrIIOp1O/fqtt96S5s2bi6IooiiK2NnZydChQ2X58uVmjLB8WHPuIiKvv/66NGrUSM1fURRp2bKlfPjhh+YOrUzwus9jzbmLWHf+1py7td3v7mTOc//qq6+KoihSrVo12bNnT5kdZ8aMGdK6dWs1R3t7e3nkkUfk66+/LrNj5sci2MJMmDBBgoOD5fPPP5e1a9fKK6+8IhEREeoF9OKLL0piYqK5wywT1py7iMiTTz4pwcHBsnz5ctmxY4d8+OGH0qNHDzX/xx57TP755x/RarXmDtXkrPncW3PuItadvzXnbs33OxHznnt9ARwcHCx//fWXujx/o4QpPP7441KjRg2ZPXu2LFmyRJ588knx8vJSc5wyZYpJj2cMi2ALsnr1agkNDZV//vnHYPnevXvl5ZdfVi+cUaNGyfnz580UZdmw5txFRNavXy+1a9eWgwcPGiyPioqSjz/+WM2/b9++sn37dsnNzTVTpKZnzefemnMXse78rTl3a77fiZj33OsL4Bo1asiff/5ZYH1WVpZkZWUZLCtNcTx79mypWbOmnDlzxmD5ihUrpEOHDmqOEydOlJycnFIf525YBFuQ5557Ttq1ayfp6ekiIgafgFNSUuTLL79UL5wRI0ZIdHS0iJTNhVPerDl3kbw/izVs2FD95H9n68f69evV/Hv37i379u0zR5hlwprPvTXnLmLd+Vtz7tZ8vxMx37nXF8AhISEFCuBt27bJnDlz5P7775fOnTvLW2+9JZs2bVLXl+TY165dk86dO8ubb74pInn55f8gs2bNGqlfv76a46RJk0p1nOJgEWwBtFqt5OTkSOPGjaV58+bqMmOWL1+uXjhPPfVUeYZZJqw5dxFRbwxdu3aV4OBgSUhIEJ1OZ/RG8L///U/N/5FHHpG0tDQRsdxfitZ87q05dxHrzt+ac7fm+52Iec/977//LoqiiJ+fn2zfvt1g3TvvvCP16tUTPz8/8fb2FkVRRKPRiLOzs8ycOVPdrrjf+wMHDoi9vb188sknBsvz7//iiy8a9AWfNWtW6ZMrAotgC9KvXz+xtbW9ayf1RYsWqRfOnReZpbLm3EVEnn76aVEURX7++ecC6/LfOH788Uc1/6lTp5ZniGXGms+9NecuYt35W3Pu1ny/EzHfuZ82bZqEhYXJwYMH1Q8k7733ngQFBcn3338vkZGRkpWVJfPmzZNu3bqpx54zZ06JjrNhwwZRFEUGDRokN2/eNFinL/p/+eUXqVGjhjz//POiKIr4+vrK77//fs853olFsAV588031T//REVFFbpddna2TJ8+XRRFkSZNmsjFixct+tOxiHXnLiLy2WefiaIo0qBBAzl58mSB9flzXLhwoSiKIp6ennL48OHyDLNMWPO5t+bcRawvf33fRxHryz0/a77fiZT/uc/fFWHSpEnSsGFD2b59u/z222/Spk0b+eOPPwrss3v3bhkzZoxaoO7cubPYxztw4IC4u7tLaGio/Pjjj5Kdna2u0/c3/v7776V3795y4cIFGT9+vGg0Gpk+fbqImLa1n0WwBdCf8GPHjklYWJh4enrKzJkzJSEhodB9IiMj5f777xdFUUp0cVY01ph7/h9w/deJiYnStm1bsbW1lfHjx8uVK1cK3T8hIUHGjh0riqLIunXryjzesmKN517PmnMXuf1L2VryX716tfq1vhC2ltx5v7vNnD/3+btdPP/889K4cWN5/PHHZfjw4ZKUlGR0u23btkmbNm1EURSZP39+sY+VlJQkLVu2FEVRpHHjxvLzzz/LrVu31PW5ublSt25defnll0VEZOfOneLv7y8hISESFxdX6hyN4YxxFkD5b6Do2rVr4/7770diYiKWLFmCTZs2ISUlxeg+4eHh6Nu3LwDgyJEj5RbrvZAiZomp7Lnnp+QbGFz/tbOzMx588EE4ODhgw4YNWLx4MWJiYozu7+npie7duwMA9u3bV/YB36OUlBRcvny5wHJrue4BYN26dTh27Jj62ppyB4Dt27dj3bp1iI6OBgDY2NgAsI78X3vtNYwcORKvvvoqAMDWNm8OK2vIHSh4v9PpdJX6fqdn7Pddef3cGzu2RqNBTk4OAODjjz9Gjx49sHTpUtSuXRtubm4G2+n379KlC/r37w8AOHz4cIH3NXYcrVYLNzc3LF26FIGBgTh27BheeOEFvPTSS1i3bh3WrFmDiIgIhISE4P333wcAdOzYEQMGDEB8fDyysrKKlWOxmbSkplJLT0+XlJQUETHe1K9fFhcXpw6eXa9ePVmxYkWBsQL1n9Ru3rwpiqLI7Nmzyzh600hKSpJ///1XTpw4IadPn1aXW0PuInl/XlqwYIE89dRT8s0336h/ItLnlJCQIIMGDRJFUSQwMFCmT58u165dM3gP/fdKq9WKo6OjvPLKK+WbRAnFxsaKh4eH9OvXT86dO1dgvTWc+8mTJ4uiKPLyyy+rT4OLWEfuIiIzZ86UkJAQ9Un31NRUEbGO/F955RW1X2W7du3Uh7v0LeGVOfc9e/bIkiVL5LnnnpNly5YV+LN/Zbzf5RcbGyv//POPHD582GiXj7I890UdOzMzU/16wYIFsnXrVqPvob9Go6Ki1PtXSXM8evSohIeHGzwA5+LiIsOHD1f/IpKRkSEief2/3dzc5NixY8XKsbhYBFcA8fHx0r59e3nnnXfUi9xYIay/6K5evSqhoaGiKIrUqVNHPvnkE/XmoN9Gp9PJoUOHJCgoqEw6k5vavHnzpHv37qIoijg6Ooqzs7N8+umnalGgLwgrY+4iIlOmTFELAf2/d999V12vv9nFxsZKly5dRFEU8ff3l+eff14dZ1Gff05Ojpw9e1ZCQ0Mr/J8Hly1bpuY7fPhwo4VwZb7u9UMSVa1a1ehDMJU5dxGRJ554QkJCQmTSpEny2muvyQsvvGCwvjLnrz/3oaGhMnXqVLGxsZEffvhBXV+Zc3/55Zeldu3a4ujoqP789+3bV7Zt2yYit/OqbPc7vRkzZkirVq0M7vejR4+WFStWGGxXFue+OMfWF57F8b///U98fX3lp59+UuMpSY7x8fHyzTffyJtvvinz589X3yf/e4mIzJkzRxo1amRQpJsCi2Az0p/gd955R/209/HHHxe7EG7QoIH6C3TMmDEFPiFNmTJF6tevL9evXy/jTO7N+PHjpVq1atKnTx/p06eP2lfozide9Z8MK1PuInmz5gQEBMiHH34oq1evltdff13NPzIyUt1Of+5jYmKkT58+otFoxMnJSTp37iy7d+82eM+33npLateuXWRfuopAP8yRu7u7OtTR3QrhynLuizsrU/4PgJUldxGRN954Q2rVqmW0hSg//QfAypT/nRMSZGRkSFhYmAwdOlSysrLUnCvjdT9hwgQJDAyU7777To4ePSpLly4VPz+/AkN9Vcb7nUjeB78aNWrIhx9+KF988YW88sorYmtrK4qiiIeHh0ycONFge1Oe+5IcO//DakV57rnnpGXLlhITE1PqHI3J3/dYp9PJuHHj5LnnnpOcnBw+GFfZDBs2TNzc3MTNzU2qV68uH330UbEK4ZiYGBk+fLh6A3F1dZUXX3xRnn32WRk5cqR4eHjIkSNHyjOVEnvuueekWrVqcvDgQfWH7ty5czJp0iRRlLx5xPPnUJlyF8m7eQUHB8vx48cNlj/77LOiKIr8+++/Bsv1N4YbN27Iq6++ajCg+NChQ2XYsGEyePBg8fLysognpRMTEyUiIkIeeeQR8fHxEUVR5NFHHy2yEI6OjpaHH37Yos99aWZlEqk81/3p06elZ8+eastV/qfTb926JVeuXJHIyMgCwydVpnMfHBxscO5ffvllcXJyUgs5/b2/Mt3zPvzwQwkLCyvwweerr75SPwznL2T1DR+V5X43e/ZsCQ4OlrNnzxosX7NmjTRp0kQtFAcOHGiw3hTnvjTHzv9zefr0aVm+fLn6OjY2Vl5++WVxdXU1mNmuNMe5s+C+efOm2uKbmZkpU6ZMkYCAADl16lSROZYGi2Az0ul0kpWVJe3atZNp06bJs88+Kw4ODlKjRo1itwgnJSXJjz/+KGPGjBEfHx+xtbWVWrVqySOPPHLXFhZz27Rpk0RERKitYPk/+d24cUOGDRsmGo3G4M8jIpUjd5G8PsBt2rRR+1zpdDr1e/Dmm29KzZo1JTc3V27cuCHnz583eHpWJK8f+bFjx+Sll16SJk2aiI+PjzRs2FAmTJhQoHiuqBISEiQ8PFzmzZsnBw4cEE9PzyILYX33GEs+9/pB4I0VwL///ru899570q5dO2nTpo28/vrrsmHDBoNtLDl3vY0bN0rNmjUL9ANdvny59O/fX3x8fMTZ2VlatWolL774osE2lpy/vg9w/nOffyQMLy8vee211wrc8y39nqfT6eT69evSqVMnGTt2rOTm5qr/REQOHz4sLi4u4uPjI8nJyUbfw5Lvd/r8u3TpIm+99ZaI5BX4+YvMDRs2SLVq1Qy6h+VX2nN/r8fWarWi1WplyZIlUrVqVWnRooU8+OCD0rlzZwkODlY/fJjiOCJ51/rSpUslODhYevfuLZ07dxYfH58y+5DDItjMzpw5I3Z2dnLgwAG5ceOGTJgwQZycnIpVCN85k8yNGzfkypUrkpuba/J+M6akz2XSpEnSpEmTAp399dusXLmy0A73lpp7fu+8845UrVrVaMvHK6+8IsOHD5cBAwaIs7OzKIoizZo1k8mTJ6vb5r8mMjMz5caNGwbvYSmeffZZ6dq1q4jkPfzg5eWlFsL5H5BcuHChrFu3rkCrgSWd+7///lsURRE3Nzc5ePCgwbp33nlHwsPDJTAw0OAXRbVq1eT11183+n6WlLvI7Z/bd999V1q2bGmw7s0335SgoCB54IEHZOjQoVKzZk1xcnISRVGkV69e6vWdnyXl//bbb4uiKFK9enU5cOCAulz/c5ydnS0dO3aUZs2aGfT31LP0e96ePXvExsZGnn/+eXWZ/q8d69atE1tbWxk+fLhs2rRJRo4cKaNGjZIZM2YYfS9LvN8dOnRINBqNvPfeewbL859jfddIe3t7URRFpkyZYvS9SnruTXHsW7duyRtvvCF2dnZSu3Ztefrppws0VJgqxxMnTkjz5s3FyclJevToUaYfclgEm9nhw4eldu3acvnyZRERuXLlSokKYZHbN0etVqtuU9EHS798+bLY2tpKvXr1Ct0mIyNDAgIC5PHHHxcR49NH6m+AlpS7SN787wMHDhRFUSQ2NlZEbsf9999/i4ODg3Tq1EkeeugheeaZZ6RmzZpqMTxixAj1ffT5559a1BLyz++jjz4SPz8/9cn4n3/+WS2E9aMFzJ49W2xtbWXXrl3qfpZ43YuIfPHFF2JnZyf79u1Tl7333ntSo0YNWbNmjfz777+SkpIiy5cvl5YtW6q/LPLPiKUvkiwtd70vvvhC7O3t5e+//xaRvAckw8LC5K+//lKvg+PHj8snn3wiHh4eoiiK9OnTR93fEn/un3rqKfH19TV4+C//6AYieX3k7ezsZOXKlYW+j6Ve9xs3blQfBMw/Le8///wjbm5uMnjwYFm7dq28++670r59e/VDYO/evdXzrf8AbIn3u61bt6of7vOPuyty+5z++OOP4ufnJ88//7xUqVJFQkJC1IcF8/+lsKTn/l6Prf/+JyYmyrp16+TChQvqz6mpc9T/f+7cOdm8ebPJxwW+E4vgCuDOAa6vXr0qTz75ZIkKYUvUt29fURRFfvrpp0IfBmrXrp2MHTvWYN2OHTsMHhiz1O/JL7/8IuPHj1cLAZG8YXG8vLxkwoQJBg8a7N27V55++mmpUqWKKErJp6msiPTn7ciRIxIYGCj79+9X1/30009qIdykSRPx8PCQX375xWC/O7+u6PJ/iHvnnXfEwcFBfv/9dzl8+LC0aNHC6JPdu3btkocfflhtfcn/IcCS/fTTT6IoirzyyiuSlJQkzzzzjPoQbP7vU3p6uqxcuVLc3NxEURSZO3euuUIutfzX6PPPPy9dunSR9evXG/1Qf/78ealRo4b6QdfYNpbq9OnT6kPPtWrVkscee0yef/55cXZ2lkmTJhn0gb969ap89NFH6gOzY8aMMWPkpvH333+LnZ2d+Pn5qfcyPX1r7o8//igPPvigHDt2TJ0A5I033qgQxy7OtWjOHEuLRbAZGev3pV+WvxAOCgq668NyliR/H6HevXsb7eujz7F///7y0EMPqctu3rwpffv2laFDh1rEgxDG5D9/N2/eNPhzXmxsrNEpKkXyfomMGzdOFCVvznVLvw70bt26JZ6enjJv3jwRuX19HDx4UG397tq1q1y+fNnic87/i+S9994TR0dHGTFihAwbNsygz3f+7bZv3y4RERGiKIp8+OGH5RlumUlPT5d27dqJt7e3rFy5Uho3bixLly4VkYL3t5s3b6pdCfL/FcSS5L/nffbZZwXGu81v+vTp4ujoWCYPAZnbkiVLpHPnzmJjYyNhYWHy1FNPSXh4uFy6dMmgdVckb+isd999VxwdHSUsLEyio6PNGLlp6IcB9ff3l99//92gNVWr1UqdOnXULm9//vmn+Pj4iL+/v0lG/CivY5szx9JgEVwBlaQQNvYnCUtwZz+uwoqbwYMHy6BBg0Tkdv+xM2fOiI+Pj/Tv31+OHj1atoFWMPohxWrUqCGxsbEWXxTqr4Pu3burfybWFwxffPGFuLq6qq2AjzzyiPrE8dSpU4s1zE5FlL/AnTt3riiKIq+++mqB7fKf23nz5omiKDJ27FiLP+d6s2fPVvtHK4oi77//fqHb7t+/X2xsbOS+++6TpKQki/we5C+ERQre8/Svd+/eLV5eXmr3l8rQGnznB/9jx45JWlqaPPfccxIeHm50O5G8867vF37s2DGLPO8it8/98ePH1dZwPz8/efbZZ2Xp0qWyZs0aqVOnjvTo0cNgv5dfflmcnZ3l4sWLFf7Y5szxXrAIrqAKK4Q//PBDtRCePXu2fP755wVurpWBvjgaPXq0PPnkkwbr5syZI4qSN7NMUS0qlYn+F2FOTo54enpK3759zRyRab300ktSp04d9UPdrFmzxMvLS/bv3y9//PGHeHt7q0XgxIkTxdHR0eDhIkuTv7BZs2aNfP/990a30/9snzhxQhRFkeeee648witT+QuZXr16qX0/69evbzBaxp0FT0REhDz44IPlFqc5PfDAAxIREWHuMEzKWAH7wAMPSJUqVeTEiROFbtusWTNp2rRpscetrci0Wq0cOnRIOnbsaDCJhKurqzzyyCPq7z1914G1a9eKu7u7wRBkFf3Y5syxNGxNOwkzmYqiKBARBAYG4s033wQArFixAp988gmcnZ0RFRWFDz74AEePHoWNjY2ZozU95b851NPS0mBre/sy/X97dx5VVbn+Afy7gcPkYRQQTBkc0sBZ0EATyZZBeK+1FFzdzFlBnK+ZmlaUmdes61C5vDcHXBlmJGoDkmkOV81Zr8NFTQQV24JgKITJcJ7fH/727hzOOYxnAPbzWYu1dE/v+5z3PfCcs9/9vosXL8b7778PLy8v7N+/H23btrVWFS3KxsYGAHDs2DEIgoDBgwfL67JLr1VzREQQBAE9e/bEl19+CWdnZ3z00UdYsWIFUlNTERYWBgDYsmULxo8fj02bNsHV1RVHjx5F7969rVz7hrOxsYFGo4GNjQ3i4+ONHie9t2/fvg1fX18MGTLEUlU0G0EQUFVVBVtbW6SlpSE6OhpHjhxBTk4OPvvsM7i4uKBXr17y70CNRoN79+7BwcEBAwcOBPBnv2lppD6RlJSEuLg4pKSkYNy4cdaulklUb6/KykqoVCqUlZVh79698Pf3h4uLi7xfo9EgPz8fpaWlGDJkCKqqqmBnZ9es293GxgZ9+vTB3r17sW3bNvz6669wd3dHQEAAnn/+eQCP+7aDgwMAIC8vD0FBQejcuXOzKduaMTaIVVJvVmfSJ+Jbt25RYmKifOvQxcWFTp8+beXamV90dDRNmzaNiB4vLCEIAnl6ejbpOTFNxdA3J9OmTaPg4OBmsTJSfdy5c4f8/f3pueee03kITvsb0/j4ePLw8NB5KLIlMnT7e8aMGRQWFtYixkVKpDhv3bpFzzzzjHx358UXX6Q9e/boHPvWW2+Rv7+/3rzCLdXNmzfJz8+PxowZY+2qmNXcuXNJEATy9vamTZs2yTPlSBYtWkRPPPEEZWdnW6mGplfTndvq7/3JkyfTjBkzTDYNnKXKtmaM9cVJsJlUn86kMaTzi4uLqUuXLk0+CTRF7NKbaMSIETRv3jxaunRps0mAGxt/ZWUlHThwgHbv3i2v4S6KIs2dO5fUanWTHgfdkNg1Gg3l5+eTh4cHqdVqebocbW+99RYJgtCkV8QyRb/PysqirVu3ykOe7ty5Q/PmzSO1Wm2124V11Zj4S0tL6a9//SsJgkA2NjakVqtp1qxZNGvWLHr55ZfJw8OjST8Ia8rf99KH3xUrVpAgCHrzSTc1DX3PEz1+QFK6be7l5UXjxo2j1NRUSk1NpYSEBFKr1U3+yx5Ttf29e/fkacV+//13WrRoEfn6+tb4gKSlyrZmjObGSbAJVf/mThrzoj2nZ2O888471KpVK711w5uixsYujf967rnnyNvbmwRBIA8PjyafAEsaG/+CBQvI1dWVBgwYQCNGjKCnn36a/P39m2QiYKp+f+DAAYMJ8K1bt+jVV19t8n8MiRrf7uvWraM2bdpQt27daNiwYRQREUGBgYFNst0NaUj82sesWbOGRo0aJY8jDAgIoPj4+Gbxvjf17/udO3dSu3btrPbAUH00JHbtZdClGQWkHz8/P4qIiGgWf+uIGt/2FRUVlJqaSq1bt6bo6GgKDw8nb2/vOr3vLVW2NWM0J4Ho/wcWskYhrTFqKSkpOHbsGA4dOoTAwED4+/tj2rRp6NixI5ydnfWOr4vvv/8e48aNQ0ZGhjxOsikydewvvfQSdu3aBU9PTxw8eBAhISHmrH6jmTL+MWPGYMuWLejcuTMGDRqEBQsWoGPHjuYOoV5M1e9re03KysrkazRFpmz3RYsWYdmyZQgODsazzz6L2bNno0OHDuYOoVEaG780RliSk5ODiooK+Pn5QaVSwdHR0SJxNIQ5ft9LCgsL4eXlZeoqm0xjY9fet2HDBvz666+4f/8+oqKiEBYWBh8fH4vF0hCmbPtTp05h9uzZuHLlCvr06YPVq1eja9euVi/bmjFahMXT7hZuypQp5O/vT9HR0RQaGiovf+rm5kZ///vfdVaJqs90L5cvX5ZXlWuqTBm7tP+FF14gQRCa/NrwRKaLX3ts1Lp16+jq1av04MEDs9a9sczV75vDlEjmaPe0tDS6efNms5gC0VTxN4e2rs5c/b45TItmjn7fnJij7S9cuEC7d++udZU0S5VtzRgthZNgE3r33XcpKChIfnCnsrKSbty4QaNHj5bXyh44cCB999138jnNdfWr6kwdu/T/4uJiun79ugUiaBxTx9+cpr3jfq/MdifitufYTRd7c3ptzPX3rimVbc0YLYmTYBO5e/cuPfPMM7R06VIi0v8kv2zZMurUqRMJgkDBwcH0zTffyPu0O0dWVhalp6dTUVGR3r6mylyxN5dvCLjtOXYiZcVOpOz4OXZlxk5kvvjr8u2/pcq2ZoyWxkmwiVy6dIlUKhWtW7dOZ7v2Nzvr16+nnj17kiAIFBoaSgcPHtQ5tqioiEJCQkgQBEpISLBIvU1BybETKTt+jl2ZsRMpO36OXZmxE1k3fkuVraQ2trHuiOSWo7S0FJWVlTh8+DBKS0vl7ba2ttBoNACAiRMnYtasWejatSvOnTuHlJQU/Prrr/Kx9vb2CAgIAAAcP35c5zpNmZJjB5QdP8euzNgBZcfPsSszdsC68VuqbEW1sbWz8JaiqKiIAgMDKTg4WB5Do307X/s2wMqVK0mtVpOrqytlZmbqXGf37t20cuVKunLlimUqbgJKjp1I2fFz7MqMnUjZ8XPsyoydyLrxW6psJbUxJ8EmUlZWRrGxsSQIAg0fPlzern37QLvjJCQkkCAIFBERQSUlJU1yrExdKTl2ImXHz7ErM3YiZcfPsSszdiLrxm+pspXUxpwEm9DJkyfJxcWFBEGgKVOmyNu1O47077KyMurVqxf5+/vLg8abMyXHTqTs+Dl2ZcZOpOz4OXZlxk5k3fgtVbZS2piTYBNbsWIFOTs7kyAINGvWLHm79q0E6d8zZswgQRDozJkzzebJ2JooOXYiZcfPsSszdiJlx8+xKzN2IuvGb6myldDGnASbWGFhISUmJpKjoyMJgkBJSUl6x0gd5M0336ROnTrJa2k3d0qOnUjZ8XPsyoydSNnxc+zKjJ3IuvFbqmwltDEnwWYgiiJNnjyZnJycSBAEGjlyJOXn59OjR4+I6M+xNK+88gqNHDmyWawKVVdKjp1I2fFz7MqMnUjZ8XPsyoydyLrxW6rslt7GnASbSUFBAb311lvymJqIiAh6//33KSsri44ePUoLFy4kd3d3unjxorWranJKjp1I2fFz7MqMnUjZ8XPsyoydyLrxW6rsltzGnASb0R9//EE//vgjhYSEyLcTBEGggIAA6tmzJ509e9baVTQbJcdOpOz4OXZlxk6k7Pg5dmXGTmTd+C1VdkttY4GIyNpzFbd0hYWFyM3NxenTp1FRUYEePXqga9eu8PHxsXbVzE7JsQPKjp9jV2bsgLLj59iVGTtg3fgtVXZLa2NOghljjDHGmOLwssmMMcYYY0xxOAlmjDHGGGOKw0kwY4wxxhhTHE6CGWOMMcaY4nASzBhjjDHGFIeTYMYYY4wxpjicBDPGGGOMMcXhJJgxxhhjjCkOJ8GMMcYYY0xxOAlmjDHGGGOKw0kwY8yizp07B0EQ5J/BgwebtbzZs2frlJeSktLoax44cEDnmuPGjWv0NZuy48ePIyYmBn5+fnByckLHjh0xbtw43L9/39pVY4yxBuMkmLEWavDgwTqJWvUfZ2dndOvWDQsWLEBRUZHF6tWtWzeIoojt27dbpLwlS5ZAFEXEx8c36PzNmzfDzc0NW7ZskbdFRERAFEWsWrXK6Hl79+6Fp6cnli1bprfv3LlzSE5Oxs6dOxtUJ0vKyspCZGQkcnNzkZaWhkuXLmHEiBHYvHkzfvvttzpf5+DBg5gyZQqCg4Ph7u4OlUoFT09PhIaGYuLEifj8889x7949M0bSvOXm5iI5OdkkH+IYY49xEsxYC5Weng5RFBEeHg4AmDt3LkRRhCiKyM3Nxa5du+Dr64vly5ejR48e+OWXXyxSLzs7O/j6+sLT09Mi5bm4uMDX1xdOTk4NOv+rr77CgwcP8OWXX8rb7O3t4evrCzc3N6Pn7dixA7/99hu++OILvX3nzp3DO++80yyS4HXr1uHRo0d47bXXMHDgQHTo0AHvvvsuJk6cCBcXl1rPv3v3LqKjoxEVFYWSkhIsX74cJ06cwJUrV7Bjxw7Exsbi22+/xZgxY9CmTRscOHDA/EE1Q7m5uXjnnXc4CWbMhOysXQHGmHlISaa9vT0AQK1Ww9fXV94fEBCAIUOGoH///jh16hTGjx+Pw4cPW6WuTdn06dNx9+5dTJs2rV7nTZgwAadPn0ZCQoKZamYZV69eBfC4v0gcHR2xfv36Ws8tKipCREQEcnJy8NVXX2HkyJE6+zt06IDIyEhMmjQJAwYMwK1bt1BaWmraABhjzAj+JpgxBbOxscGkSZMAAEeOHMGtW7esXKOmJyYmBidOnEBMTEy9zuvbty+OHTuG8ePHm6lmlvHw4UMAj7/Br68JEybg2rVrmD59ul4CrK19+/b48MMPG1xHxhhrCE6CGVM4f39/+d95eXk4fPiw3kNfoihiwoQJaNu2LWxtbQ0+DJaZmYnY2Fh4e3vDwcEBAQEBmDRpEq5du1ZrHYqLizF9+nS0b98eDg4O6NChAxYvXoyysjK9YwsLC7F27VoMHToUAQEBcHBwgI+PD4YPH17nb7KPHDmCoUOHwsPDA61atcKAAQOwa9cunWNyc3Mb/ACf9nmBgYF615QS482bN+s9tGdoLLf2a52cnGz0+rW5d+8eFi5ciODgYDg5OcHNzQ0DBgzA+vXrUVVVpXPsuHHjIAgCDh48CACIioqSy0xOTq61rJMnT+Kbb74BAMycObPW44cPH445c+agQ4cO8rbQ0FCdWLVVfx0MDaM4dOgQpk2bhp49e8Ld3V0eB//2228b7Ft2dnY6r2t5eTmSk5Px5JNPwsHBQef11mg0yMjIwPjx4xESEgK1Wg21Wo3Q0FCsXLkSlZWVOtfOy8vT60/FxcVITEyEr68vHBwcEBISgs2bN+vVSxAEREVFAXg8tlr7OtXbory8HKtWrUJoaKhcp969e+Mf//iH/IGmOiLC5s2bMXDgQLi5ucHZ2RnBwcFYuHBhvcZ9M9bsEGOsRYuMjCQA9Pbbbxvcv379egJAAOjq1atUXl5OoijSqlWrCADFxsZS7969KSUlhXJycmjfvn3k4+NDY8eOla+xYMECAkDR0dF05MgRys3NpfT0dAoICKBWrVrRDz/8oFfu/v37CQCFhYVRv379aM2aNZSdnU3//e9/afz48QSAwsPD6eHDhzrnLVu2jABQUlISnT59mnJycuinn36iYcOGkY2NDaWmphqMc+zYsQSAxowZQ6GhofTjjz/SjRs3aPfu3dSlSxcCQKtWrZKPr6ysJFEUafv27QSAIiMj9a65adMmAqDzWhARiaJIJ06cIAAUEBCgd03ptY2PjydRFOWfsrIyKioqovT0dAJAXl5elJeXR8XFxfI1SkpKKC8vj7y8vGjFihVUUFBgMN7qrl69Sv7+/qRWq+nTTz+VX+ukpCQCQC+88AI9evRIPr64uJhEUaTw8HACQNu3b5frWVJSUmt5r7/+OgGgDh061Kl+hhQWFpIoinL/1FZSUqJTv/379+ud7+DgQIGBgZSWlkbZ2dl04cIF+uSTT8jd3Z369u1Lv//+u87xd+7ckdvN39+f/vKXv9Dbb79NWVlZdP78eRowYIDcnlK9evXqRRkZGZSTk0Pnzp2jpUuXkr29PcXGxlJVVZV87aqqKp3+1L9/f3r22WcpNTWVcnJyKDMzkwIDAwkA7dixQ6de2ueFh4fr9BnttigtLaVBgwYRAJozZw6dOXOGzpw5Q/PnzydBECgsLEyv7aqqqiguLo4A0OjRo+nnn3+mixcv0gcffED29vbUsWNHysvLa0DrMdb0cRLMWAtXWxI8dOhQAkDBwcE626UEDwB9++23OvsWL15MM2fOJCKibdu2EQDq3r07lZeX6xz3v//9j+zs7Mjd3Z1u376ts09KggHQmjVrjNZr0aJFOtvXrl1LL7/8st7xFRUV1LVrV/Ly8tJLnIn+TIKdnJwoPz9fZ9/169fJ3t6eVCoVXbp0yWA965MEExHl5OToJcF1OY+ISKPRUFBQkMHXnojom2++IWdnZ53kuCaVlZXUvXt3AkBbt27V2//KK68QAJo3b57ePqn/GEoyayKd98ILL9TrPEMMJcF1qd+TTz5Jx48f19u+ZcsWAkArVqzQ2ye1GwCaO3euzr6MjAwKDQ0lIqKCggIKCgoymCC+9957BIDS0tL09mn3+y+++EJn365duwgADRkyxOh5hvqhJCEhgQBQYmKi3r45c+YQAJo+fbrOdulDZXR0tN45q1evJgA0bNgwo2Uy1pzxcAjGFIiIkJubiylTpmDPnj1wdnY2+qBTUFAQhg0bprNtyZIlWL16NQDgvffeAwBMnToVKpVK57innnoK0dHRKC4uxpo1awxe38nJCRMmTNDbLj2I9umnn6KiokLePnXqVKSmpuodb2dnh9DQUBQWFuL48ePGQkdcXBx8fHz0YoyNjUVFRQXWrl1r9FxLEQQBEydOBAB89tlnevs/++wzxMXF1Tg7hbZdu3bhwoUL8PX1xahRo/T2z5kzBwDw8ccfm+z2d0FBAQDUuY7mcOXKFfTr109v+9NPPw0A+P7772s8f8aMGTr/j4mJwcmTJwEA3t7euH79Op544okGXd/FxQVxcXE62/r37w/g8ewh9XXnzh1s2LABwJ/tqS0xMREAsHHjRnlYRHl5OVasWGH0nMmTJ8PGxgbff/89cnNz610nxpo6ToIZU4j3339fHiPo6OiIoKAgpKamYuTIkTh9+rQ8lVp1Xbt2NXpNURRx4cIFADCYbGhv/+GHHwzu9/f3R6tWrfS2h4aGAng8Xvj8+fM6+3766SeMHDkSQUFBcHNzk+OSpjG7ffu20To/9dRTBrdL5UljYK1t/PjxsLW1RUZGBkRRlLeLooiMjAz5gca62LNnD4A/x9hW16tXL9jb2+OPP/7AoUOHGl/5OtqwYYPcdtJPSEiIya5///59JCcno1+/fvDx8YGLiwvUajV69OgBoOZ+4uTkpDMjhiGiKOK1115Dz5494eXlJccgfWis6fr+/v56HxqlGV0a8kFk//79qKyshKurKzp37qy3PzAwEIIgoKysDGfPngUAnD59Wp6bWer/2pycnODn5wciwtGjR+tdJ8aaOp4ijTGFSExMlB9QEgQBjo6O8PX1ha2tbY3neXt7G9138+ZN+d/Vv12VtGnTBgBw48YNg/uNnaddbl5eHvr27QsA+PDDDzFv3jy0a9cO7777Lvr06SMn0fPnz0d6ejrKy8uN1rm28vLy8oyea0lt27ZFTEwMvvvuO6SkpGDhwoUAgE2bNqFz584YOHBgna8lvfbGYre1tUXr1q0hiqLRdqovHx8fZGVlobi42OgxcXFxiIyMBPB4Xuv58+fj999/N0n5+fn5GDBgALKzszF27FgsX74c7dq1gyAIuH37NgYPHlxjP6mp3wPA5cuX8cwzz+DevXuYPXs2XnzxRfj5+QF4vMLe6NGja7x+69at9bZJSbFGo6lLiDqk92JJSYnR+ZuJCMCfybn2+1f7AVlt0rfGNSX0jDVXnAQzphCenp7o1KlTvc8z9M2hJUh/sLWJoog33ngDAJCWlibfdpbUZfGG+pRnbZMmTcJ3332HDRs2YMGCBQAef3ta3zmLraF///44ePAgLl26ZPQYV1dXuLq6AjCeoNfGWLstWbIE2dnZeP755/UWmKjLdG+19fvXXnsNhYWFSEhIwEcffaSzry4fpMz1vmrfvj327dtX4zHSB1OJra1trUMwDCXtjDV3nAQzxhpM+9uj/Px8tG/fXu+Y/Px8ADB6a1naX93du3flf7dr1w4AcPToUVRUVMDV1VUvAa6r2sqTymoKYmNj4efnh+zsbOzfvx9EhLy8PIwZM6Ze15Fee2OxV1VVyUtn1zYEoK7i4uLwwQcf4ObNm7h8+XKNw2pqY2NjA41Gg6qqKr07F9r9RJs0rGXo0KENLrcm5r5+fUnt9uDBgzp/2JXOqaqqgre3t1XHbzNmDTwmmDHWYH5+fujevTsAGH0Y7cSJEwCA559/3uD+W7duGbwFfurUKQCAu7u7PIZTuk1s7Nu/utyyzcrKMrhdKk+6PW9ONjb6v3pLS0v1klQ7OzuMHTsWALB+/XqsX78eL730Ery8vOpVnpSonTx50uCt9nPnzqG8vByOjo4YNGhQva5tTGhoKIYPHw4AjV4IQ0rOqo+VLS8vN7rAS01DCkxxa9/c16/OUJ95+PAh7ty5A41Gg6ioKKhUKhQXFxtdAn316tUICwvDgwcPADxe0EX6hld6n1aXlpaGXr161Wm+b8aaG06CGWONsnjxYgDA2rVr9cZAZmVlITMzE25ubkYXTHj48CE2bdqkt/3TTz8FACQlJcljJaUHu0pKSvQWxrh9+3adHt75+uuv5ZkLJDk5OcjIyIBKpUJSUlKt12gsd3d3ANBJ/hctWiR/oNA2adIkCIKA9PR07NixA5MnT653ecOHD0e3bt1QUFCArVu36u1fuXIlgMdLRHt4eNT7+sZs2LABHTt2xMaNG7Fx48Yaj71+/brRfb169QLw5wcVSVpamtFllqUHMjMyMvT2paWl1ViXujD39asz1GfWrVsHPz8//PHHH2jTpo38sGT14RnA42/Mly9fjoCAAHkIikqlwuuvvw4A+Oc//6n34fLhw4dYsmQJ7OzsGjSUirEmz2qTszHGzKqoqEhnMYG5c+fKE+zXpKYFHYyZP38+AaChQ4fSkSNH6MaNGzqLZWRmZsrHVlRU6Ez+36VLFwoKCqKPP/6YsrOz6fz58zUuljF16lQCQO3ataNt27bRtWvXKDMzk7p160YODg7yoheiKFJlZSU9ePCARFGk+Ph4AkCDBg2i3r170969e+nGjRuUmZlZp8UypEUKiouL6dGjRwZfI2neXu3FMtq1a0eiKFJRUZF87fz8fLK3tydfX186deoUHTt2jNq2bUvx8fEGX9+oqCh54QmNRlNj+xlz5coVat++PbVq1Yo++eQT+bWu72IZdV2cQ1JQUCDP+Tx8+HBKT0+nq1ev0s2bN+nkyZP08ccfU1hYGAEgFxcXSk5O1rtGWloaAaDOnTvTnj17KCcnh1JTU2nIkCHUv39/nfpVVlYS0ePFQdzc3AgATZo0ic6cOUMXL16kxYsXk7Ozs07bSO1WUFCg126iKOq8LpL//Oc/pFKpyMbGht544w26cOECnT17lhITE+V+KPUZaYEKQ/1J2ie9X/H/cwhX7zPl5eXk4+NDjo6OdODAATp//jx1796d+vXrJx9TVlYm95WkpCQ6e/YsXb9+ndLT0yk4OJg6deqkN0d2VVUVvfzyywSA4uLi6NixY5Sbm0uZmZkUERFBXl5edPny5Xq1OWPNBSfBjLVQ0iIChn5qor1YQH3O2717N8XExJCnpyepVCpq3749TZgwga5evapz3NmzZ3WuGRkZSdevX6e//e1v1KZNG1KpVBQYGEhvvPGG3opeRI//aK9cuZKCg4PJ3t6eWrVqRaGhofSvf/2LxowZo3PtnJwcmjVrls62TZs20ddff00RERGkVqvJycmJwsPDaefOnXV6HcaOHauz4EH1fURkcF/1RQ62b99OISEhpFKpyNvbm0aNGkV37twx+Np+8cUXBICWLl1aYxvUpqioiBYsWEBdunQhBwcHcnFxofDwcPr3v/8tJ48SaXGR6j+GFv+oi3379tGECRPoySefJLVaTXZ2duTh4UE9evSg0aNH0+eff0737983ev7GjRvlNm/Tpg1NmTKFfvvtN71+/ssvv8jnZGVl0YgRI8jT05Ps7Oyobdu29Oqrr9LevXsNtltAQIDBmI0tFPLzzz9TdHQ0ubq6yv02KSlJXkBG+pEWqjF0bWmfofdr9T5z8OBBCgsLIwcHB/Lw8KCYmBi991d5eTl98skn1K9fP1Kr1eTi4kLdu3enN998Uyep1qbRaGjLli0UGRlJbm5u5OzsTF27dqWZM2fyanGsRROImuAj0YwxxmSHDx9GVFQUbt68KU/DxRhjrHF4TDBjjDVxKSkp8kwRjDHGTIOTYMYYa2IWLVokr+RVXFyMbdu2ISEhwcq1YoyxloWHQzDGWBOjVqsxd+5cjB07FsnJycjKysLJkyetXS3GGGtROAlmjLEmJjIyEmfOnIFGo8HTTz+NDRs2IDAw0NrVYoyxFoWTYMYYY4wxpjg8JpgxxhhjjCkOJ8GMMcYYY0xxOAlmjDHGGGOKw0kwY4wxxhhTHE6CGWOMMcaY4nASzBhjjDHGFIeTYMYYY4wxpjicBDPGGGOMMcX5P5ayrlqW4+sGAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,6))\n", - "# ax.plot(x_, y_, linewidth=0.5, color=color)\n", - "ax.plot(results.keys(), cap_wf, linestyle = '--')\n", - "ax.scatter(results.keys(), cap_wf)\n", - "\n", - "# ax = axis_formatter(axes=ax, xcord=x_, axis_labels='M')\n", - "plt.title(f'Capacity (WF) against compliance')\n", - "ax.xaxis.set_ticks(list(results.keys()))\n", - "# ax.xaxis.set_ticklabels(['1', '1/2', '1/3', '1/4', '1/5', '0'])\n", - "plt.ylabel(\"MW\")\n", - "plt.xticks(rotation = 45)\n", - "plt.xlabel(\"Probability of Guarantee\")\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 1302182, fopex= 41432, vopex = 2000, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=990637, fopex=3354, vopex=4953, prod_max=bigM, label='Wind mill array', basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000, prod_max=bigM, label = 'Solar PV', basis = 'MW')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {WF, PV}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level= 0)\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= houston, scales= scales, expenditure_scale_level= 0, scheduling_scale_level= 1, \n", - " network_scale_level= 0, demand_scale_level= 1, label= 'full_case', demand = {houston: {Power: 150}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.plot import plot_location" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.demand_factor(resource=Power, location=houston)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "lp = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, \n", - " objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "c_dict = {p: norm_constant(p, mu, sigma) for p in [0.80, 0.90, 0.95, 0.99]}" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "demand_df = min_max(demand_df)\n", - "demand_dict = demand_df.to_dict()['COAST']\n", - "demand_dict = {(0,i): demand_dict[i] for i in demand_dict.keys()}\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "def chance_demand(instance, demand_factor, mu, sigma, c_dict, demand, alpha):\n", - " scales = scale_list(instance=instance,\n", - " scale_levels=2 )\n", - " def chance_rule(instance, location, resource, *scales):\n", - " return instance.S[location, resource, scales] >= demand*demand_factor[scales]*(mu - (1- alpha*c_dict[alpha])*sigma) \n", - " return Constraint(instance.locations, instance.resources_demand, *scales, rule = chance_rule)\n", - "lp.chance_demand = chance_demand(lp, demand_dict, mu, sigma, c_dict, demand =200, alpha = 0.95)" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0.8: 1.3370301368543218,\n", - " 0.9: 1.250180656708498,\n", - " 0.95: 1.2089398223529617,\n", - " 0.99: 1.1771687122298473}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "alpha = 0.95" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.3726506353280552" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mu - (1- alpha*c_dict[alpha])*sigma" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0.8: 1.3370301368543218,\n", - " 0.9: 1.250180656708498,\n", - " 0.95: 1.2089398223529617,\n", - " 0.99: 1.1771687122298473}" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "c_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/emission/emission.ipynb b/examples/emission/emission.ipynb deleted file mode 100644 index dbbc86b3..00000000 --- a/examples/emission/emission.ipynb +++ /dev/null @@ -1,2752 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Master Energy Systems MILP Case Study" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.emission import Emission\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# coord_houston = (29.56999969482422, -95.05999755859375)\n", - "# weather_houston = pandas.read_csv('../../data/weather_houston.csv', index_col=0)\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - "# inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - "# temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "import random\n", - "solar_houston = pandas.DataFrame(data={'PV': [random.random() for i in range(2)]})\n", - "wind_houston = pandas.DataFrame(data={'PV': [random.random() for i in range(2)]})\n", - "ercot = pandas.DataFrame(data={'Power': [random.random() for i in range(2)]})\n", - "ng_price_df = pandas.DataFrame(data={'CH4': [random.random() for i in range(2)]})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "# wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - "# wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - "# power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - "# observation_height = 10)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "# ng_price_df = pandas.concat(\n", - "# [make_henry_price_df(file_name='../../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i, stretch = True) for i in range(5)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# ercot = pandas.read_csv('../../data/ercot.csv', index_col=0)\n", - "# ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "# ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 1, 2])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**3\n", - "smallM = 0" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Emissions" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# Create instances of the data class\n", - "'''All global warming and global temperature potentials have been updated with the latest IPCC Annual Report 6'''\n", - "CO2 = Emission(name = 'CO2', gwp20 = 1, gwp100 = 1, gwp500 = 1, gtp20 = 1, gtp100 = 1, gtp500 = 1, ap = 0, ep = 0, pocp = 0, odp = 0, adpmm = 0, adpff = 0)\n", - "CH4 = Emission(name = 'CH4', gwp20 = 81.2, gwp100 = 27.9, gwp500 = 7.95)\n", - "N20 = Emission(name = 'N2O', gwp20 = 273, gwp100 = 273, gwp500 = 130)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "Uranium = Resource(name='Uranium', cons_max=100,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE], emissions= {CO2: 20})\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(CH4.emissions)[0].gwp100" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "location_generation = Location(name='generation', processes= {PV, WF, LiI}, \n", - " capacity_factor={PV: solar_houston, WF: wind_houston}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "location_production = Location(name='production', processes= {PEM, SMRH}, price_factor={\n", - " CH4: ng_price_df}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{PEM: {Power: None, H2: None, O2: None, H2O: None},\n", - " SMRH: {Power: None,\n", - " CH4: {CO2: 20},\n", - " H2O: None,\n", - " H2: None,\n", - " CO2_Vent: None,\n", - " CO2: None}}" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "location_production.emission_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "# location_generation = Location(name='generation', processes= {PV, WF, ASMR, LiI, LiI_discharge}, \n", - "# capacity_factor={PV: solar_houston, WF: wind_houston}, \n", - "# scales=scales, label='site for generation', expenditure_scale_level=0, \n", - "# demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "# location_production = Location(name='production', processes= {PEM, SMRH}, price_factor={\n", - "# CH4: ng_price_df}, scales=scales, label='site for production', \n", - "# expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "# location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - "# expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "# location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - "# expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "# location_generation = Location(name='generation', processes= {PV, WF, ASMR, PV, WF, ASMR, LiI, LiI_discharge, PEM, SMRH, H2_Comp, AqOff}, \n", - "# capacity_factor={PV: solar_houston, WF: wind_houston}, \n", - "# scales=scales, label='site for generation', expenditure_scale_level=0, \n", - "# demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "# location_production = Location(name='production', processes= {PV, WF, ASMR, LiI, LiI_discharge, PEM, SMRH, H2_Comp, AqOff}, price_factor={\n", - "# CH4: ng_price_df}, scales=scales, label='site for production', \n", - "# expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "# location_consumption = Location(name='consumption', processes= {PV, WF, ASMR,LiI, LiI_discharge, PEM, SMRH, H2_Comp, AqOff}, scales=scales, label='site for production', \n", - "# expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "# location_sequestration = Location(name='sequestration', processes= {PV, WF, ASMR,LiI, LiI_discharge, PEM, SMRH, H2_Comp, AqOff}, scales=scales, label= 'site for sequestration', \n", - "# expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "H2_pipeline = Transport(name= 'hydrogen', resources= {H2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 2*10**(-3)\\\n", - " , label= 'Pipeline for hydrogen transportation')\n", - "\n", - "CO2_pipeline = Transport(name= 'carbon', resources= {CO2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 1.667*10**(-3)\\\n", - " , label= 'Pipeline for carbon dioxide transportation')\n", - "\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.01, trans_cost= 0.5*10**(-3), label= 'Power Transmission')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [20, 45, 100],\n", - " [0, 60, 50]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Grid], [Grid]],\n", - " [[],[CO2_pipeline], [H2_pipeline]], \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [location_generation, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "network.transport_avail_dict" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# plot_location.demand_factor(resource=Power, location=houston)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "locset = [location_production, location_generation, location_sequestration, location_consumption]\n", - "demand_dict = {i: {H2_C: 0.274} if i == location_consumption else {H2_C: 0} for i in locset}\n", - "# demand_dict = {i: {Power: 2.74} if i == location_generation else {Power: 0} for i in locset}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=2, capacity_scale_level = 2, label='full_case', demand=demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'sequestration': {'AqOff': {'Power': None, 'CO2_AQoff': None, 'CO2': None}},\n", - " 'generation': {'WF': {'Wind': None, 'Power': None},\n", - " 'LiI': {'Power': None, 'LiI_Power_stored': None},\n", - " 'LiI_discharge': {'LiI_Power_stored': None, 'Power': None},\n", - " 'PV': {'Solar': None, 'Power': None}},\n", - " 'consumption': {'H2_Comp': {'Power': None, 'H2(C)': None, 'H2': None}},\n", - " 'production': {'PEM': {'Power': None, 'H2': None, 'O2': None, 'H2O': None},\n", - " 'SMRH': {'Power': None,\n", - " 'CH4': {'CO2': 20},\n", - " 'H2O': None,\n", - " 'H2': None,\n", - " 'CO2_Vent': None,\n", - " 'CO2': None}}}" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.emission_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# scenario = Scenario(name='scenario_full', network=location_consumption, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=2, capacity_scale_level = 2, label='full_case', demand={location_consumption: {H2_C: 0.274}}, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "inventory_zero = {i: {(LiI, Power): 23} if i == location_generation else {(LiI, Power): 0} for i in locset}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST, inventory_zero = inventory_zero)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_network_capex : sums up capex from process over all locations in network\n", - " Size=1, Index=constraint_network_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " 0 : 0.0 : Capex_network[0] - (Capex_location[consumption,0] + Capex_location[generation,0] + Capex_location[production,0] + Capex_location[sequestration,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_network_capex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_inventory_balance : mass balance across scheduling scale\n", - " Size=96, Index=constraint_inventory_balance_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] - 3.76*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + C[consumption,CH4,0,0,0] : 0.0 : True\n", - " ('consumption', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] - 3.76*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + C[consumption,CH4,0,0,1] : 0.0 : True\n", - " ('consumption', 'CO2', 0, 0, 0) : 0.0 : - P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 9.332*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + Imp[consumption,generation,CO2,0,0,0] + Imp[consumption,production,CO2,0,0,0] : 0.0 : True\n", - " ('consumption', 'CO2', 0, 0, 1) : 0.0 : - P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 9.332*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + Imp[consumption,generation,CO2,0,0,1] + Imp[consumption,production,CO2,0,0,1] : 0.0 : True\n", - " ('consumption', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('consumption', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('consumption', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 1.03*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('consumption', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 1.03*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('consumption', 'H2', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] - P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0.3537*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + Imp[consumption,generation,H2,0,0,0] + Imp[consumption,production,H2,0,0,0] : 0.0 : True\n", - " ('consumption', 'H2', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] - P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0.3537*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + Imp[consumption,generation,H2,0,0,1] + Imp[consumption,production,H2,0,0,1] : 0.0 : True\n", - " ('consumption', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,'H2(C)',0,0,0] : 0.0 : True\n", - " ('consumption', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,'H2(C)',0,0,1] : 0.0 : True\n", - " ('consumption', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] - 3.1839*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] - 23.7*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + C[consumption,H2O,0,0,0] : 0.0 : True\n", - " ('consumption', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] - 3.1839*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] - 23.7*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + C[consumption,H2O,0,0,1] : 0.0 : True\n", - " ('consumption', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + P_m[consumption,LiI,0,0,0,0] - P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - Inv[consumption,LiI_Power_stored,0,0,0] : 0.0 : True\n", - " ('consumption', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + P_m[consumption,LiI,0,0,0,1] - P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - (Inv[consumption,LiI_Power_stored,0,0,1] - Inv[consumption,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('consumption', 'O2', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 2.8302*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,O2,0,0,0] : 0.0 : True\n", - " ('consumption', 'O2', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 2.8302*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,O2,0,0,1] : 0.0 : True\n", - " ('consumption', 'Power', 0, 0, 0) : 0.0 : -1.5*P_m[consumption,AqOff,0,0,0,0] - 0.417*P_m[consumption,H2_Comp,0,0,0,0] - P_m[consumption,LiI,0,0,0,0] + P_m[consumption,LiI_discharge,0,0,0,0] - P_m[consumption,PEM,0,0,0,0] + P_m[consumption,PV,0,0,0,0] - 1.11*P_m[consumption,SMRH,0,0,0,0] + P_m[consumption,WF,0,0,0,0] + Imp[consumption,generation,Power,0,0,0] + Imp[consumption,production,Power,0,0,0] : 0.0 : True\n", - " ('consumption', 'Power', 0, 0, 1) : 0.0 : -1.5*P_m[consumption,AqOff,0,0,0,1] - 0.417*P_m[consumption,H2_Comp,0,0,0,1] - P_m[consumption,LiI,0,0,0,1] + P_m[consumption,LiI_discharge,0,0,0,1] - P_m[consumption,PEM,0,0,0,1] + P_m[consumption,PV,0,0,0,1] - 1.11*P_m[consumption,SMRH,0,0,0,1] + P_m[consumption,WF,0,0,0,1] + Imp[consumption,generation,Power,0,0,1] + Imp[consumption,production,Power,0,0,1] : 0.0 : True\n", - " ('consumption', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] - P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + C[consumption,Solar,0,0,0] : 0.0 : True\n", - " ('consumption', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] - P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + C[consumption,Solar,0,0,1] : 0.0 : True\n", - " ('consumption', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] - P_m[consumption,WF,0,0,0,0] + C[consumption,Wind,0,0,0] : 0.0 : True\n", - " ('consumption', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] - P_m[consumption,WF,0,0,0,1] + C[consumption,Wind,0,0,1] : 0.0 : True\n", - " ('generation', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] - 3.76*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] + C[generation,CH4,0,0,0] : 0.0 : True\n", - " ('generation', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] - 3.76*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] + C[generation,CH4,0,0,1] : 0.0 : True\n", - " ('generation', 'CO2', 0, 0, 0) : 0.0 : - P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 9.332*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - (Exp[generation,consumption,CO2,0,0,0] + Exp[generation,production,CO2,0,0,0] + Exp[generation,sequestration,CO2,0,0,0]) : 0.0 : True\n", - " ('generation', 'CO2', 0, 0, 1) : 0.0 : - P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 9.332*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - (Exp[generation,consumption,CO2,0,0,1] + Exp[generation,production,CO2,0,0,1] + Exp[generation,sequestration,CO2,0,0,1]) : 0.0 : True\n", - " ('generation', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('generation', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('generation', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 1.03*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('generation', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 1.03*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('generation', 'H2', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] - P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0.3537*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - (Exp[generation,consumption,H2,0,0,0] + Exp[generation,production,H2,0,0,0] + Exp[generation,sequestration,H2,0,0,0]) : 0.0 : True\n", - " ('generation', 'H2', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] - P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0.3537*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - (Exp[generation,consumption,H2,0,0,1] + Exp[generation,production,H2,0,0,1] + Exp[generation,sequestration,H2,0,0,1]) : 0.0 : True\n", - " ('generation', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,'H2(C)',0,0,0] : 0.0 : True\n", - " ('generation', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,'H2(C)',0,0,1] : 0.0 : True\n", - " ('generation', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] - 3.1839*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] - 23.7*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] + C[generation,H2O,0,0,0] : 0.0 : True\n", - " ('generation', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] - 3.1839*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] - 23.7*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] + C[generation,H2O,0,0,1] : 0.0 : True\n", - " ('generation', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + P_m[generation,LiI,0,0,0,0] - P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - (Inv[generation,LiI_Power_stored,0,0,0] - 23) : 0.0 : True\n", - " ('generation', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + P_m[generation,LiI,0,0,0,1] - P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - (Inv[generation,LiI_Power_stored,0,0,1] - Inv[generation,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('generation', 'O2', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 2.8302*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,O2,0,0,0] : 0.0 : True\n", - " ('generation', 'O2', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 2.8302*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,O2,0,0,1] : 0.0 : True\n", - " ('generation', 'Power', 0, 0, 0) : 0.0 : -1.5*P_m[generation,AqOff,0,0,0,0] - 0.417*P_m[generation,H2_Comp,0,0,0,0] - P_m[generation,LiI,0,0,0,0] + P_m[generation,LiI_discharge,0,0,0,0] - P_m[generation,PEM,0,0,0,0] + P_m[generation,PV,0,0,0,0] - 1.11*P_m[generation,SMRH,0,0,0,0] + P_m[generation,WF,0,0,0,0] - (Exp[generation,consumption,Power,0,0,0] + Exp[generation,production,Power,0,0,0] + Exp[generation,sequestration,Power,0,0,0]) : 0.0 : True\n", - " ('generation', 'Power', 0, 0, 1) : 0.0 : -1.5*P_m[generation,AqOff,0,0,0,1] - 0.417*P_m[generation,H2_Comp,0,0,0,1] - P_m[generation,LiI,0,0,0,1] + P_m[generation,LiI_discharge,0,0,0,1] - P_m[generation,PEM,0,0,0,1] + P_m[generation,PV,0,0,0,1] - 1.11*P_m[generation,SMRH,0,0,0,1] + P_m[generation,WF,0,0,0,1] - (Exp[generation,consumption,Power,0,0,1] + Exp[generation,production,Power,0,0,1] + Exp[generation,sequestration,Power,0,0,1]) : 0.0 : True\n", - " ('generation', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] - P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] + C[generation,Solar,0,0,0] : 0.0 : True\n", - " ('generation', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] - P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] + C[generation,Solar,0,0,1] : 0.0 : True\n", - " ('generation', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] - P_m[generation,WF,0,0,0,0] + C[generation,Wind,0,0,0] : 0.0 : True\n", - " ('generation', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] - P_m[generation,WF,0,0,0,1] + C[generation,Wind,0,0,1] : 0.0 : True\n", - " ('production', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] - 3.76*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] + C[production,CH4,0,0,0] : 0.0 : True\n", - " ('production', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] - 3.76*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] + C[production,CH4,0,0,1] : 0.0 : True\n", - " ('production', 'CO2', 0, 0, 0) : 0.0 : Imp[production,generation,CO2,0,0,0] - (Exp[production,consumption,CO2,0,0,0] + Exp[production,sequestration,CO2,0,0,0]) + (- P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 9.332*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0]) : 0.0 : True\n", - " ('production', 'CO2', 0, 0, 1) : 0.0 : Imp[production,generation,CO2,0,0,1] - (Exp[production,consumption,CO2,0,0,1] + Exp[production,sequestration,CO2,0,0,1]) + (- P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 9.332*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1]) : 0.0 : True\n", - " ('production', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('production', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('production', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 1.03*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('production', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 1.03*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('production', 'H2', 0, 0, 0) : 0.0 : Imp[production,generation,H2,0,0,0] - (Exp[production,consumption,H2,0,0,0] + Exp[production,sequestration,H2,0,0,0]) + (0*P_m[production,AqOff,0,0,0,0] - P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0.3537*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0]) : 0.0 : True\n", - " ('production', 'H2', 0, 0, 1) : 0.0 : Imp[production,generation,H2,0,0,1] - (Exp[production,consumption,H2,0,0,1] + Exp[production,sequestration,H2,0,0,1]) + (0*P_m[production,AqOff,0,0,0,1] - P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0.3537*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1]) : 0.0 : True\n", - " ('production', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,'H2(C)',0,0,0] : 0.0 : True\n", - " ('production', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,'H2(C)',0,0,1] : 0.0 : True\n", - " ('production', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] - 3.1839*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] - 23.7*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] + C[production,H2O,0,0,0] : 0.0 : True\n", - " ('production', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] - 3.1839*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] - 23.7*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] + C[production,H2O,0,0,1] : 0.0 : True\n", - " ('production', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + P_m[production,LiI,0,0,0,0] - P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - Inv[production,LiI_Power_stored,0,0,0] : 0.0 : True\n", - " ('production', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + P_m[production,LiI,0,0,0,1] - P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - (Inv[production,LiI_Power_stored,0,0,1] - Inv[production,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('production', 'O2', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 2.8302*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,O2,0,0,0] : 0.0 : True\n", - " ('production', 'O2', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 2.8302*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,O2,0,0,1] : 0.0 : True\n", - " ('production', 'Power', 0, 0, 0) : 0.0 : Imp[production,generation,Power,0,0,0] - (Exp[production,consumption,Power,0,0,0] + Exp[production,sequestration,Power,0,0,0]) + (-1.5*P_m[production,AqOff,0,0,0,0] - 0.417*P_m[production,H2_Comp,0,0,0,0] - P_m[production,LiI,0,0,0,0] + P_m[production,LiI_discharge,0,0,0,0] - P_m[production,PEM,0,0,0,0] + P_m[production,PV,0,0,0,0] - 1.11*P_m[production,SMRH,0,0,0,0] + P_m[production,WF,0,0,0,0]) : 0.0 : True\n", - " ('production', 'Power', 0, 0, 1) : 0.0 : Imp[production,generation,Power,0,0,1] - (Exp[production,consumption,Power,0,0,1] + Exp[production,sequestration,Power,0,0,1]) + (-1.5*P_m[production,AqOff,0,0,0,1] - 0.417*P_m[production,H2_Comp,0,0,0,1] - P_m[production,LiI,0,0,0,1] + P_m[production,LiI_discharge,0,0,0,1] - P_m[production,PEM,0,0,0,1] + P_m[production,PV,0,0,0,1] - 1.11*P_m[production,SMRH,0,0,0,1] + P_m[production,WF,0,0,0,1]) : 0.0 : True\n", - " ('production', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] - P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] + C[production,Solar,0,0,0] : 0.0 : True\n", - " ('production', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] - P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] + C[production,Solar,0,0,1] : 0.0 : True\n", - " ('production', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] - P_m[production,WF,0,0,0,0] + C[production,Wind,0,0,0] : 0.0 : True\n", - " ('production', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] - P_m[production,WF,0,0,0,1] + C[production,Wind,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] - 3.76*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + C[sequestration,CH4,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] - 3.76*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + C[sequestration,CH4,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CO2', 0, 0, 0) : 0.0 : - P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 9.332*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + Imp[sequestration,generation,CO2,0,0,0] + Imp[sequestration,production,CO2,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CO2', 0, 0, 1) : 0.0 : - P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 9.332*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + Imp[sequestration,generation,CO2,0,0,1] + Imp[sequestration,production,CO2,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 1.03*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 1.03*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('sequestration', 'H2', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] - P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0.3537*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + Imp[sequestration,generation,H2,0,0,0] + Imp[sequestration,production,H2,0,0,0] : 0.0 : True\n", - " ('sequestration', 'H2', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] - P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0.3537*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + Imp[sequestration,generation,H2,0,0,1] + Imp[sequestration,production,H2,0,0,1] : 0.0 : True\n", - " ('sequestration', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,'H2(C)',0,0,0] : 0.0 : True\n", - " ('sequestration', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,'H2(C)',0,0,1] : 0.0 : True\n", - " ('sequestration', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] - 3.1839*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] - 23.7*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + C[sequestration,H2O,0,0,0] : 0.0 : True\n", - " ('sequestration', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] - 3.1839*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] - 23.7*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + C[sequestration,H2O,0,0,1] : 0.0 : True\n", - " ('sequestration', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + P_m[sequestration,LiI,0,0,0,0] - P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - Inv[sequestration,LiI_Power_stored,0,0,0] : 0.0 : True\n", - " ('sequestration', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + P_m[sequestration,LiI,0,0,0,1] - P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - (Inv[sequestration,LiI_Power_stored,0,0,1] - Inv[sequestration,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('sequestration', 'O2', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 2.8302*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,O2,0,0,0] : 0.0 : True\n", - " ('sequestration', 'O2', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 2.8302*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,O2,0,0,1] : 0.0 : True\n", - " ('sequestration', 'Power', 0, 0, 0) : 0.0 : -1.5*P_m[sequestration,AqOff,0,0,0,0] - 0.417*P_m[sequestration,H2_Comp,0,0,0,0] - P_m[sequestration,LiI,0,0,0,0] + P_m[sequestration,LiI_discharge,0,0,0,0] - P_m[sequestration,PEM,0,0,0,0] + P_m[sequestration,PV,0,0,0,0] - 1.11*P_m[sequestration,SMRH,0,0,0,0] + P_m[sequestration,WF,0,0,0,0] + Imp[sequestration,generation,Power,0,0,0] + Imp[sequestration,production,Power,0,0,0] : 0.0 : True\n", - " ('sequestration', 'Power', 0, 0, 1) : 0.0 : -1.5*P_m[sequestration,AqOff,0,0,0,1] - 0.417*P_m[sequestration,H2_Comp,0,0,0,1] - P_m[sequestration,LiI,0,0,0,1] + P_m[sequestration,LiI_discharge,0,0,0,1] - P_m[sequestration,PEM,0,0,0,1] + P_m[sequestration,PV,0,0,0,1] - 1.11*P_m[sequestration,SMRH,0,0,0,1] + P_m[sequestration,WF,0,0,0,1] + Imp[sequestration,generation,Power,0,0,1] + Imp[sequestration,production,Power,0,0,1] : 0.0 : True\n", - " ('sequestration', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] - P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + C[sequestration,Solar,0,0,0] : 0.0 : True\n", - " ('sequestration', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] - P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + C[sequestration,Solar,0,0,1] : 0.0 : True\n", - " ('sequestration', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] - P_m[sequestration,WF,0,0,0,0] + C[sequestration,Wind,0,0,0] : 0.0 : True\n", - " ('sequestration', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] - P_m[sequestration,WF,0,0,0,1] + C[sequestration,Wind,0,0,1] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_inventory_balance.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_network_consumption : sums up consumption of resource over all locations in network\n", - " Size=4, Index=constraint_network_consumption_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('CH4', 0) : 0.0 : C_network[CH4,0] - (C_location[consumption,CH4,0] + C_location[generation,CH4,0] + C_location[production,CH4,0] + C_location[sequestration,CH4,0]) : 0.0 : True\n", - " ('H2O', 0) : 0.0 : C_network[H2O,0] - (C_location[consumption,H2O,0] + C_location[generation,H2O,0] + C_location[production,H2O,0] + C_location[sequestration,H2O,0]) : 0.0 : True\n", - " ('Solar', 0) : 0.0 : C_network[Solar,0] - (C_location[consumption,Solar,0] + C_location[generation,Solar,0] + C_location[production,Solar,0] + C_location[sequestration,Solar,0]) : 0.0 : True\n", - " ('Wind', 0) : 0.0 : C_network[Wind,0] - (C_location[consumption,Wind,0] + C_location[generation,Wind,0] + C_location[production,Wind,0] + C_location[sequestration,Wind,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_network_consumption.pprint()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_transport_exp_UB : import of resource from sink to source\n", - " Size=108, Index=constraint_transport_exp_UB_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('generation', 'consumption', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,CO2,Grid,0,0,0] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('generation', 'consumption', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,CO2,Grid,0,0,1] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('generation', 'consumption', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'consumption', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,H2,Grid,0,0,0] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,H2,Grid,0,0,1] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,H2,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,H2,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,Power,Grid,0,0,0] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,Power,Grid,0,0,1] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,Power,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,Power,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,consumption,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,consumption,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,production,CO2,Grid,0,0,0] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,production,CO2,Grid,0,0,1] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,production,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,production,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,production,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,production,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,production,H2,Grid,0,0,0] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('generation', 'production', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,production,H2,Grid,0,0,1] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('generation', 'production', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,production,H2,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,production,H2,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,production,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,production,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,production,Power,Grid,0,0,0] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('generation', 'production', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,production,Power,Grid,0,0,1] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('generation', 'production', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,production,Power,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,production,Power,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,production,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,production,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,CO2,Grid,0,0,0] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,CO2,Grid,0,0,1] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,H2,Grid,0,0,0] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,H2,Grid,0,0,1] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,H2,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,H2,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,Power,Grid,0,0,0] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,Power,Grid,0,0,1] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,Power,carbon,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,Power,carbon,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[generation,sequestration,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[generation,sequestration,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,consumption,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,consumption,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,consumption,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,consumption,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,consumption,CO2,hydrogen,0,0,0] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,consumption,CO2,hydrogen,0,0,1] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,consumption,H2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,consumption,H2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,consumption,H2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,consumption,H2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,consumption,H2,hydrogen,0,0,0] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,consumption,H2,hydrogen,0,0,1] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,consumption,Power,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,consumption,Power,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,consumption,Power,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,consumption,Power,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,consumption,Power,hydrogen,0,0,0] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,consumption,Power,hydrogen,0,0,1] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,production,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,production,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,production,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,production,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,production,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,production,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,production,H2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,production,H2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,production,H2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,production,H2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,production,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,production,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,production,Power,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,production,Power,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,production,Power,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,production,Power,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,production,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,production,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,CO2,carbon,0,0,0] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,CO2,carbon,0,0,1] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,H2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,H2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,H2,carbon,0,0,0] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,H2,carbon,0,0,1] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,Power,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,Power,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,Power,carbon,0,0,0] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,Power,carbon,0,0,1] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_exp[production,sequestration,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_exp[production,sequestration,Power,hydrogen,0,0,1] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_transport_exp_UB.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1088 rows, 1136 columns and 2107 nonzeros\n", - "Model fingerprint: 0x706b98ec\n", - "Variable types: 1082 continuous, 54 integer (54 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 9e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+04]\n", - "Presolve removed 1068 rows and 1114 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 20 rows, 22 columns, 52 nonzeros\n", - "Variable types: 22 continuous, 0 integer (0 binary)\n", - "\n", - "Root relaxation: objective 2.458871e+05, 5 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 245887.06144 245887.061 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5 simplex iterations) in 0.03 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 245887 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.458870614421e+05, best bound 2.458870614421e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_master\", print_solversteps=True)#, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 0): 65759.99999942724,\n", - " ('generation', 0): 0.0,\n", - " ('production', 0): 180110.26293469043,\n", - " ('sequestration', 0): 0.0}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_location']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('AqOff', 0): 0.0,\n", - " ('H2_Comp', 0): 0.548,\n", - " ('LiI', 0): 0.0,\n", - " ('LiI_discharge', 0): 1.7778515951371219,\n", - " ('PEM', 0): 1.549335595137122,\n", - " ('PV', 0): 0.0,\n", - " ('SMRH', 0): 0.0,\n", - " ('WF', 0): 0.0}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['P_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('CO2_AQoff', 0): 0.0,\n", - " ('CO2_Vent', 0): 0.0,\n", - " ('H2(C)', 0): 0.548,\n", - " ('O2', 0): 4.384929601357083}" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "P : Production\n", - " Size=64, Index=P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('consumption', 'AqOff', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'AqOff', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'H2_Comp', 0, 0, 0) : 0 : 0.274 : None : False : False : NonNegativeReals\n", - " ('consumption', 'H2_Comp', 0, 0, 1) : 0 : 0.274 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI_discharge', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI_discharge', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PEM', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PEM', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PV', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PV', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'SMRH', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'SMRH', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'WF', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'WF', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'AqOff', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'AqOff', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'H2_Comp', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'H2_Comp', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI_discharge', 0, 0, 0) : 0 : 0.8889257975685609 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI_discharge', 0, 0, 1) : 0 : 0.888925797568561 : None : False : False : NonNegativeReals\n", - " ('generation', 'PEM', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'PEM', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'PV', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'PV', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'SMRH', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'SMRH', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'WF', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'WF', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'AqOff', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'AqOff', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'H2_Comp', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'H2_Comp', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI_discharge', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI_discharge', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'PEM', 0, 0, 0) : 0 : 0.774667797568561 : None : False : False : NonNegativeReals\n", - " ('production', 'PEM', 0, 0, 1) : 0 : 0.774667797568561 : None : False : False : NonNegativeReals\n", - " ('production', 'PV', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'PV', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'SMRH', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'SMRH', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'WF', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'WF', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'AqOff', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'AqOff', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'H2_Comp', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'H2_Comp', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI_discharge', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI_discharge', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PEM', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PEM', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PV', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PV', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'SMRH', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'SMRH', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'WF', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'WF', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp_cost.P.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_location_capex : sums up capex from process over a location\n", - " Size=4, Index=constraint_location_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 0) : 0.0 : Capex_location[consumption,0] - (Capex_process[consumption,AqOff,0] + Capex_process[consumption,H2_Comp,0] + Capex_process[consumption,LiI,0] + Capex_process[consumption,LiI_discharge,0] + Capex_process[consumption,PEM,0] + Capex_process[consumption,PV,0] + Capex_process[consumption,SMRH,0] + Capex_process[consumption,WF,0]) : 0.0 : True\n", - " ('generation', 0) : 0.0 : Capex_location[generation,0] - (Capex_process[generation,AqOff,0] + Capex_process[generation,H2_Comp,0] + Capex_process[generation,LiI,0] + Capex_process[generation,LiI_discharge,0] + Capex_process[generation,PEM,0] + Capex_process[generation,PV,0] + Capex_process[generation,SMRH,0] + Capex_process[generation,WF,0]) : 0.0 : True\n", - " ('production', 0) : 0.0 : Capex_location[production,0] - (Capex_process[production,AqOff,0] + Capex_process[production,H2_Comp,0] + Capex_process[production,LiI,0] + Capex_process[production,LiI_discharge,0] + Capex_process[production,PEM,0] + Capex_process[production,PV,0] + Capex_process[production,SMRH,0] + Capex_process[production,WF,0]) : 0.0 : True\n", - " ('sequestration', 0) : 0.0 : Capex_location[sequestration,0] - (Capex_process[sequestration,AqOff,0] + Capex_process[sequestration,H2_Comp,0] + Capex_process[sequestration,LiI,0] + Capex_process[sequestration,LiI_discharge,0] + Capex_process[sequestration,PEM,0] + Capex_process[sequestration,PV,0] + Capex_process[sequestration,SMRH,0] + Capex_process[sequestration,WF,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_location_capex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_transport_imp_UB : import of resource from sink to source\n", - " Size=108, Index=constraint_transport_imp_UB_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'generation', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,CO2,Grid,0,0,0] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('consumption', 'generation', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,CO2,Grid,0,0,1] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('consumption', 'generation', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('consumption', 'generation', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,H2,Grid,0,0,0] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,H2,Grid,0,0,1] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,H2,carbon,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,H2,carbon,0,0,1] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,Power,Grid,0,0,0] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,Power,Grid,0,0,1] - 1000*X_T[generation,consumption,Grid,0] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,Power,carbon,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,Power,carbon,0,0,1] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[consumption,generation,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[consumption,generation,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[consumption,production,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[consumption,production,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[consumption,production,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[consumption,production,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[consumption,production,CO2,hydrogen,0,0,0] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[consumption,production,CO2,hydrogen,0,0,1] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[consumption,production,H2,Grid,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[consumption,production,H2,Grid,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[consumption,production,H2,carbon,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[consumption,production,H2,carbon,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[consumption,production,H2,hydrogen,0,0,0] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[consumption,production,H2,hydrogen,0,0,1] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_imp[consumption,production,Power,Grid,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_imp[consumption,production,Power,Grid,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_imp[consumption,production,Power,carbon,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_imp[consumption,production,Power,carbon,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[consumption,production,Power,hydrogen,0,0,0] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[consumption,production,Power,hydrogen,0,0,1] - 1000*X_T[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[production,generation,CO2,Grid,0,0,0] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[production,generation,CO2,Grid,0,0,1] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[production,generation,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[production,generation,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[production,generation,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[production,generation,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[production,generation,H2,Grid,0,0,0] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('production', 'generation', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[production,generation,H2,Grid,0,0,1] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('production', 'generation', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[production,generation,H2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[production,generation,H2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[production,generation,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[production,generation,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_imp[production,generation,Power,Grid,0,0,0] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('production', 'generation', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_imp[production,generation,Power,Grid,0,0,1] - 1000*X_T[generation,production,Grid,0] : 0.0 : True\n", - " ('production', 'generation', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_imp[production,generation,Power,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_imp[production,generation,Power,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[production,generation,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[production,generation,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[production,production,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[production,production,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[production,production,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[production,production,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[production,production,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[production,production,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[production,production,H2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[production,production,H2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[production,production,H2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[production,production,H2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[production,production,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[production,production,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_imp[production,production,Power,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_imp[production,production,Power,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_imp[production,production,Power,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_imp[production,production,Power,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[production,production,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[production,production,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,CO2,Grid,0,0,0] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,CO2,Grid,0,0,1] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,H2,Grid,0,0,0] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,H2,Grid,0,0,1] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,H2,carbon,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,H2,carbon,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,Power,Grid,0,0,0] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,Power,Grid,0,0,1] - 1000*X_T[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,Power,carbon,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,Power,carbon,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[sequestration,generation,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[sequestration,generation,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,CO2,carbon,0,0,0] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,CO2,carbon,0,0,1] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 'Grid', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,H2,Grid,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 'Grid', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,H2,Grid,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 'carbon', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,H2,carbon,0,0,0] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 'carbon', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,H2,carbon,0,0,1] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 'Grid', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,Power,Grid,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 'Grid', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,Power,Grid,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 'carbon', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,Power,carbon,0,0,0] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 'carbon', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,Power,carbon,0,0,1] - 1000*X_T[production,sequestration,carbon,0] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 'hydrogen', 0, 0, 0) : -Inf : Trans_imp[sequestration,production,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 'hydrogen', 0, 0, 1) : -Inf : Trans_imp[sequestration,production,Power,hydrogen,0,0,1] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_transport_imp_UB.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "X_T : binaries for transports being set up\n", - " Size=18, Index=X_T_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('generation', 'consumption', 'Grid', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('generation', 'consumption', 'carbon', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'consumption', 'hydrogen', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'production', 'Grid', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('generation', 'production', 'carbon', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'production', 'hydrogen', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'sequestration', 'Grid', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('generation', 'sequestration', 'carbon', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'sequestration', 'hydrogen', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'consumption', 'Grid', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'consumption', 'carbon', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'consumption', 'hydrogen', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('production', 'production', 'Grid', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'production', 'carbon', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'production', 'hydrogen', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'sequestration', 'Grid', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'sequestration', 'carbon', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('production', 'sequestration', 'hydrogen', 0) : 0 : None : 1 : False : True : Binary\n" - ] - } - ], - "source": [ - "milp_cost.X_T.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "X_P : Process Binary\n", - " Size=32, Index=X_P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('consumption', 'AqOff', 0) : 0 : None : 1 : False : True : Binary\n", - " ('consumption', 'H2_Comp', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('consumption', 'LiI', 0) : 0 : None : 1 : False : True : Binary\n", - " ('consumption', 'LiI_discharge', 0) : 0 : None : 1 : False : True : Binary\n", - " ('consumption', 'PEM', 0) : 0 : None : 1 : False : True : Binary\n", - " ('consumption', 'PV', 0) : 0 : None : 1 : False : True : Binary\n", - " ('consumption', 'SMRH', 0) : 0 : None : 1 : False : True : Binary\n", - " ('consumption', 'WF', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'AqOff', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'H2_Comp', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'LiI', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('generation', 'LiI_discharge', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('generation', 'PEM', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'PV', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('generation', 'SMRH', 0) : 0 : None : 1 : False : True : Binary\n", - " ('generation', 'WF', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('production', 'AqOff', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'H2_Comp', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'LiI', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'LiI_discharge', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'PEM', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('production', 'PV', 0) : 0 : None : 1 : False : True : Binary\n", - " ('production', 'SMRH', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('production', 'WF', 0) : 0 : None : 1 : False : True : Binary\n", - " ('sequestration', 'AqOff', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('sequestration', 'H2_Comp', 0) : 0 : None : 1 : False : True : Binary\n", - " ('sequestration', 'LiI', 0) : 0 : None : 1 : False : True : Binary\n", - " ('sequestration', 'LiI_discharge', 0) : 0 : None : 1 : False : True : Binary\n", - " ('sequestration', 'PEM', 0) : 0 : None : 1 : False : True : Binary\n", - " ('sequestration', 'PV', 0) : 0 : None : 1 : False : True : Binary\n", - " ('sequestration', 'SMRH', 0) : 0 : None : 1 : False : True : Binary\n", - " ('sequestration', 'WF', 0) : 0 : None : 1 : False : True : Binary\n" - ] - } - ], - "source": [ - "milp_cost.X_P.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Fopex_process : Fixed Opex for process\n", - " Size=32, Index=Fopex_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('consumption', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'H2_Comp', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI_discharge', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PEM', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'H2_Comp', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI_discharge', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'PEM', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'H2_Comp', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI_discharge', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'PEM', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'H2_Comp', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI_discharge', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PEM', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp_cost.Fopex_process.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Trans_imp : Resource imported through transport mode\n", - " Size=108, Index=Trans_imp_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('consumption', 'generation', 'CO2', 'Grid', 0, 0, 0) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'CO2', 'Grid', 0, 0, 1) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'Power', 'Grid', 0, 0, 0) : 0 : 0.114258 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'Power', 'Grid', 0, 0, 1) : 0 : 0.114258 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'generation', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'CO2', 'hydrogen', 0, 0, 0) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'CO2', 'hydrogen', 0, 0, 1) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.274 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.274 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'production', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'Power', 'Grid', 0, 0, 0) : 0 : 0.774667797568561 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'Power', 'Grid', 0, 0, 1) : 0 : 0.774667797568561 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'generation', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'H2', 'Grid', 0, 0, 0) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'H2', 'Grid', 0, 0, 1) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'generation', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'H2', 'carbon', 0, 0, 0) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'H2', 'carbon', 0, 0, 1) : 0 : -0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'production', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp_cost.Trans_imp.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# scenario.transport_resource_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# scenario.transport_resource_avail_dict[('generation', 'production')].keys()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_transport_export : export of resource from source to sink\n", - " Size=36, Index=constraint_transport_export_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('generation', 'consumption', 'CO2', 0, 0, 0) : 0.0 : Exp[generation,consumption,CO2,0,0,0] - Trans_exp[generation,consumption,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'CO2', 0, 0, 1) : 0.0 : Exp[generation,consumption,CO2,0,0,1] - Trans_exp[generation,consumption,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 0, 0, 0) : 0.0 : Exp[generation,consumption,H2,0,0,0] - Trans_exp[generation,consumption,H2,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'H2', 0, 0, 1) : 0.0 : Exp[generation,consumption,H2,0,0,1] - Trans_exp[generation,consumption,H2,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 0, 0, 0) : 0.0 : Exp[generation,consumption,Power,0,0,0] - Trans_exp[generation,consumption,Power,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'consumption', 'Power', 0, 0, 1) : 0.0 : Exp[generation,consumption,Power,0,0,1] - Trans_exp[generation,consumption,Power,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 0, 0, 0) : 0.0 : Exp[generation,production,CO2,0,0,0] - Trans_exp[generation,production,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'CO2', 0, 0, 1) : 0.0 : Exp[generation,production,CO2,0,0,1] - Trans_exp[generation,production,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'H2', 0, 0, 0) : 0.0 : Exp[generation,production,H2,0,0,0] - Trans_exp[generation,production,H2,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'H2', 0, 0, 1) : 0.0 : Exp[generation,production,H2,0,0,1] - Trans_exp[generation,production,H2,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'production', 'Power', 0, 0, 0) : 0.0 : Exp[generation,production,Power,0,0,0] - Trans_exp[generation,production,Power,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'production', 'Power', 0, 0, 1) : 0.0 : Exp[generation,production,Power,0,0,1] - Trans_exp[generation,production,Power,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 0, 0, 0) : 0.0 : Exp[generation,sequestration,CO2,0,0,0] - Trans_exp[generation,sequestration,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'CO2', 0, 0, 1) : 0.0 : Exp[generation,sequestration,CO2,0,0,1] - Trans_exp[generation,sequestration,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 0, 0, 0) : 0.0 : Exp[generation,sequestration,H2,0,0,0] - Trans_exp[generation,sequestration,H2,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'H2', 0, 0, 1) : 0.0 : Exp[generation,sequestration,H2,0,0,1] - Trans_exp[generation,sequestration,H2,Grid,0,0,1] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 0, 0, 0) : 0.0 : Exp[generation,sequestration,Power,0,0,0] - Trans_exp[generation,sequestration,Power,Grid,0,0,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'Power', 0, 0, 1) : 0.0 : Exp[generation,sequestration,Power,0,0,1] - Trans_exp[generation,sequestration,Power,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 0, 0, 0) : 0.0 : Exp[production,consumption,CO2,0,0,0] - Trans_exp[production,consumption,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'CO2', 0, 0, 1) : 0.0 : Exp[production,consumption,CO2,0,0,1] - Trans_exp[production,consumption,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 0, 0, 0) : 0.0 : Exp[production,consumption,H2,0,0,0] - Trans_exp[production,consumption,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'H2', 0, 0, 1) : 0.0 : Exp[production,consumption,H2,0,0,1] - Trans_exp[production,consumption,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 0, 0, 0) : 0.0 : Exp[production,consumption,Power,0,0,0] - Trans_exp[production,consumption,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('production', 'consumption', 'Power', 0, 0, 1) : 0.0 : Exp[production,consumption,Power,0,0,1] - Trans_exp[production,consumption,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'CO2', 0, 0, 0) : 0.0 : Exp[production,production,CO2,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 0, 0, 1) : 0.0 : Exp[production,production,CO2,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 0, 0, 0) : 0.0 : Exp[production,production,H2,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 0, 0, 1) : 0.0 : Exp[production,production,H2,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 0, 0, 0) : 0.0 : Exp[production,production,Power,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 0, 0, 1) : 0.0 : Exp[production,production,Power,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 0, 0, 0) : 0.0 : Exp[production,sequestration,CO2,0,0,0] - Trans_exp[production,sequestration,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'CO2', 0, 0, 1) : 0.0 : Exp[production,sequestration,CO2,0,0,1] - Trans_exp[production,sequestration,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 0, 0, 0) : 0.0 : Exp[production,sequestration,H2,0,0,0] - Trans_exp[production,sequestration,H2,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'H2', 0, 0, 1) : 0.0 : Exp[production,sequestration,H2,0,0,1] - Trans_exp[production,sequestration,H2,carbon,0,0,1] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 0, 0, 0) : 0.0 : Exp[production,sequestration,Power,0,0,0] - Trans_exp[production,sequestration,Power,carbon,0,0,0] : 0.0 : True\n", - " ('production', 'sequestration', 'Power', 0, 0, 1) : 0.0 : Exp[production,sequestration,Power,0,0,1] - Trans_exp[production,sequestration,Power,carbon,0,0,1] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_transport_export.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_transport_import : import of resource from sink to source\n", - " Size=36, Index=constraint_transport_import_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'generation', 'CO2', 0, 0, 0) : 0.0 : Imp[consumption,generation,CO2,0,0,0] - Trans_imp[consumption,generation,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'CO2', 0, 0, 1) : 0.0 : Imp[consumption,generation,CO2,0,0,1] - Trans_imp[consumption,generation,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 0, 0, 0) : 0.0 : Imp[consumption,generation,H2,0,0,0] - Trans_imp[consumption,generation,H2,Grid,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'H2', 0, 0, 1) : 0.0 : Imp[consumption,generation,H2,0,0,1] - Trans_imp[consumption,generation,H2,Grid,0,0,1] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 0, 0, 0) : 0.0 : Imp[consumption,generation,Power,0,0,0] - Trans_imp[consumption,generation,Power,Grid,0,0,0] : 0.0 : True\n", - " ('consumption', 'generation', 'Power', 0, 0, 1) : 0.0 : Imp[consumption,generation,Power,0,0,1] - Trans_imp[consumption,generation,Power,Grid,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 0, 0, 0) : 0.0 : Imp[consumption,production,CO2,0,0,0] - Trans_imp[consumption,production,CO2,hydrogen,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'CO2', 0, 0, 1) : 0.0 : Imp[consumption,production,CO2,0,0,1] - Trans_imp[consumption,production,CO2,hydrogen,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 0, 0, 0) : 0.0 : Imp[consumption,production,H2,0,0,0] - Trans_imp[consumption,production,H2,hydrogen,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'H2', 0, 0, 1) : 0.0 : Imp[consumption,production,H2,0,0,1] - Trans_imp[consumption,production,H2,hydrogen,0,0,1] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 0, 0, 0) : 0.0 : Imp[consumption,production,Power,0,0,0] - Trans_imp[consumption,production,Power,hydrogen,0,0,0] : 0.0 : True\n", - " ('consumption', 'production', 'Power', 0, 0, 1) : 0.0 : Imp[consumption,production,Power,0,0,1] - Trans_imp[consumption,production,Power,hydrogen,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 0, 0, 0) : 0.0 : Imp[production,generation,CO2,0,0,0] - Trans_imp[production,generation,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'CO2', 0, 0, 1) : 0.0 : Imp[production,generation,CO2,0,0,1] - Trans_imp[production,generation,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'H2', 0, 0, 0) : 0.0 : Imp[production,generation,H2,0,0,0] - Trans_imp[production,generation,H2,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'H2', 0, 0, 1) : 0.0 : Imp[production,generation,H2,0,0,1] - Trans_imp[production,generation,H2,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'generation', 'Power', 0, 0, 0) : 0.0 : Imp[production,generation,Power,0,0,0] - Trans_imp[production,generation,Power,Grid,0,0,0] : 0.0 : True\n", - " ('production', 'generation', 'Power', 0, 0, 1) : 0.0 : Imp[production,generation,Power,0,0,1] - Trans_imp[production,generation,Power,Grid,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'CO2', 0, 0, 0) : 0.0 : Imp[production,production,CO2,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'CO2', 0, 0, 1) : 0.0 : Imp[production,production,CO2,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'H2', 0, 0, 0) : 0.0 : Imp[production,production,H2,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'H2', 0, 0, 1) : 0.0 : Imp[production,production,H2,0,0,1] : 0.0 : True\n", - " ('production', 'production', 'Power', 0, 0, 0) : 0.0 : Imp[production,production,Power,0,0,0] : 0.0 : True\n", - " ('production', 'production', 'Power', 0, 0, 1) : 0.0 : Imp[production,production,Power,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 0, 0, 0) : 0.0 : Imp[sequestration,generation,CO2,0,0,0] - Trans_imp[sequestration,generation,CO2,Grid,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'CO2', 0, 0, 1) : 0.0 : Imp[sequestration,generation,CO2,0,0,1] - Trans_imp[sequestration,generation,CO2,Grid,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 0, 0, 0) : 0.0 : Imp[sequestration,generation,H2,0,0,0] - Trans_imp[sequestration,generation,H2,Grid,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'H2', 0, 0, 1) : 0.0 : Imp[sequestration,generation,H2,0,0,1] - Trans_imp[sequestration,generation,H2,Grid,0,0,1] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 0, 0, 0) : 0.0 : Imp[sequestration,generation,Power,0,0,0] - Trans_imp[sequestration,generation,Power,Grid,0,0,0] : 0.0 : True\n", - " ('sequestration', 'generation', 'Power', 0, 0, 1) : 0.0 : Imp[sequestration,generation,Power,0,0,1] - Trans_imp[sequestration,generation,Power,Grid,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 0, 0, 0) : 0.0 : Imp[sequestration,production,CO2,0,0,0] - Trans_imp[sequestration,production,CO2,carbon,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'CO2', 0, 0, 1) : 0.0 : Imp[sequestration,production,CO2,0,0,1] - Trans_imp[sequestration,production,CO2,carbon,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 0, 0, 0) : 0.0 : Imp[sequestration,production,H2,0,0,0] - Trans_imp[sequestration,production,H2,carbon,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'H2', 0, 0, 1) : 0.0 : Imp[sequestration,production,H2,0,0,1] - Trans_imp[sequestration,production,H2,carbon,0,0,1] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 0, 0, 0) : 0.0 : Imp[sequestration,production,Power,0,0,0] - Trans_imp[sequestration,production,Power,carbon,0,0,0] : 0.0 : True\n", - " ('sequestration', 'production', 'Power', 0, 0, 1) : 0.0 : Imp[sequestration,production,Power,0,0,1] - Trans_imp[sequestration,production,Power,carbon,0,0,1] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_transport_import.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_inventory_balance : mass balance across scheduling scale\n", - " Size=96, Index=constraint_inventory_balance_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] - 3.76*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + C[consumption,CH4,0,0,0] : 0.0 : True\n", - " ('consumption', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] - 3.76*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + C[consumption,CH4,0,0,1] : 0.0 : True\n", - " ('consumption', 'CO2', 0, 0, 0) : 0.0 : - P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 9.332*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + Imp[consumption,generation,CO2,0,0,0] + Imp[consumption,production,CO2,0,0,0] : 0.0 : True\n", - " ('consumption', 'CO2', 0, 0, 1) : 0.0 : - P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 9.332*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + Imp[consumption,generation,CO2,0,0,1] + Imp[consumption,production,CO2,0,0,1] : 0.0 : True\n", - " ('consumption', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('consumption', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('consumption', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 1.03*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('consumption', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 1.03*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('consumption', 'H2', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] - P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0.3537*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + Imp[consumption,generation,H2,0,0,0] + Imp[consumption,production,H2,0,0,0] : 0.0 : True\n", - " ('consumption', 'H2', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] - P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0.3537*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + Imp[consumption,generation,H2,0,0,1] + Imp[consumption,production,H2,0,0,1] : 0.0 : True\n", - " ('consumption', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,'H2(C)',0,0,0] : 0.0 : True\n", - " ('consumption', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,'H2(C)',0,0,1] : 0.0 : True\n", - " ('consumption', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] - 3.1839*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] - 23.7*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + C[consumption,H2O,0,0,0] : 0.0 : True\n", - " ('consumption', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] - 3.1839*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] - 23.7*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + C[consumption,H2O,0,0,1] : 0.0 : True\n", - " ('consumption', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + P_m[consumption,LiI,0,0,0,0] - P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - Inv[consumption,LiI_Power_stored,0,0,0] : 0.0 : True\n", - " ('consumption', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + P_m[consumption,LiI,0,0,0,1] - P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - (Inv[consumption,LiI_Power_stored,0,0,1] - Inv[consumption,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('consumption', 'O2', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 2.8302*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] - S[consumption,O2,0,0,0] : 0.0 : True\n", - " ('consumption', 'O2', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 2.8302*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] - S[consumption,O2,0,0,1] : 0.0 : True\n", - " ('consumption', 'Power', 0, 0, 0) : 0.0 : -1.5*P_m[consumption,AqOff,0,0,0,0] - 0.417*P_m[consumption,H2_Comp,0,0,0,0] - P_m[consumption,LiI,0,0,0,0] + P_m[consumption,LiI_discharge,0,0,0,0] - P_m[consumption,PEM,0,0,0,0] + P_m[consumption,PV,0,0,0,0] - 1.11*P_m[consumption,SMRH,0,0,0,0] + P_m[consumption,WF,0,0,0,0] + Imp[consumption,generation,Power,0,0,0] + Imp[consumption,production,Power,0,0,0] : 0.0 : True\n", - " ('consumption', 'Power', 0, 0, 1) : 0.0 : -1.5*P_m[consumption,AqOff,0,0,0,1] - 0.417*P_m[consumption,H2_Comp,0,0,0,1] - P_m[consumption,LiI,0,0,0,1] + P_m[consumption,LiI_discharge,0,0,0,1] - P_m[consumption,PEM,0,0,0,1] + P_m[consumption,PV,0,0,0,1] - 1.11*P_m[consumption,SMRH,0,0,0,1] + P_m[consumption,WF,0,0,0,1] + Imp[consumption,generation,Power,0,0,1] + Imp[consumption,production,Power,0,0,1] : 0.0 : True\n", - " ('consumption', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] - P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] + 0*P_m[consumption,WF,0,0,0,0] + C[consumption,Solar,0,0,0] : 0.0 : True\n", - " ('consumption', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] - P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] + 0*P_m[consumption,WF,0,0,0,1] + C[consumption,Solar,0,0,1] : 0.0 : True\n", - " ('consumption', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,0] + 0*P_m[consumption,H2_Comp,0,0,0,0] + 0*P_m[consumption,LiI,0,0,0,0] + 0*P_m[consumption,LiI_discharge,0,0,0,0] + 0*P_m[consumption,PEM,0,0,0,0] + 0*P_m[consumption,PV,0,0,0,0] + 0*P_m[consumption,SMRH,0,0,0,0] - P_m[consumption,WF,0,0,0,0] + C[consumption,Wind,0,0,0] : 0.0 : True\n", - " ('consumption', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[consumption,AqOff,0,0,0,1] + 0*P_m[consumption,H2_Comp,0,0,0,1] + 0*P_m[consumption,LiI,0,0,0,1] + 0*P_m[consumption,LiI_discharge,0,0,0,1] + 0*P_m[consumption,PEM,0,0,0,1] + 0*P_m[consumption,PV,0,0,0,1] + 0*P_m[consumption,SMRH,0,0,0,1] - P_m[consumption,WF,0,0,0,1] + C[consumption,Wind,0,0,1] : 0.0 : True\n", - " ('generation', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] - 3.76*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] + C[generation,CH4,0,0,0] : 0.0 : True\n", - " ('generation', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] - 3.76*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] + C[generation,CH4,0,0,1] : 0.0 : True\n", - " ('generation', 'CO2', 0, 0, 0) : 0.0 : - P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 9.332*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - (Exp[generation,consumption,CO2,0,0,0] + Exp[generation,production,CO2,0,0,0] + Exp[generation,sequestration,CO2,0,0,0]) : 0.0 : True\n", - " ('generation', 'CO2', 0, 0, 1) : 0.0 : - P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 9.332*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - (Exp[generation,consumption,CO2,0,0,1] + Exp[generation,production,CO2,0,0,1] + Exp[generation,sequestration,CO2,0,0,1]) : 0.0 : True\n", - " ('generation', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('generation', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('generation', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 1.03*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('generation', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 1.03*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('generation', 'H2', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] - P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0.3537*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - (Exp[generation,consumption,H2,0,0,0] + Exp[generation,production,H2,0,0,0] + Exp[generation,sequestration,H2,0,0,0]) : 0.0 : True\n", - " ('generation', 'H2', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] - P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0.3537*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - (Exp[generation,consumption,H2,0,0,1] + Exp[generation,production,H2,0,0,1] + Exp[generation,sequestration,H2,0,0,1]) : 0.0 : True\n", - " ('generation', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,'H2(C)',0,0,0] : 0.0 : True\n", - " ('generation', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,'H2(C)',0,0,1] : 0.0 : True\n", - " ('generation', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] - 3.1839*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] - 23.7*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] + C[generation,H2O,0,0,0] : 0.0 : True\n", - " ('generation', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] - 3.1839*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] - 23.7*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] + C[generation,H2O,0,0,1] : 0.0 : True\n", - " ('generation', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + P_m[generation,LiI,0,0,0,0] - P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - (Inv[generation,LiI_Power_stored,0,0,0] - 23) : 0.0 : True\n", - " ('generation', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + P_m[generation,LiI,0,0,0,1] - P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - (Inv[generation,LiI_Power_stored,0,0,1] - Inv[generation,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('generation', 'O2', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 2.8302*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] - S[generation,O2,0,0,0] : 0.0 : True\n", - " ('generation', 'O2', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 2.8302*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] - S[generation,O2,0,0,1] : 0.0 : True\n", - " ('generation', 'Power', 0, 0, 0) : 0.0 : -1.5*P_m[generation,AqOff,0,0,0,0] - 0.417*P_m[generation,H2_Comp,0,0,0,0] - P_m[generation,LiI,0,0,0,0] + P_m[generation,LiI_discharge,0,0,0,0] - P_m[generation,PEM,0,0,0,0] + P_m[generation,PV,0,0,0,0] - 1.11*P_m[generation,SMRH,0,0,0,0] + P_m[generation,WF,0,0,0,0] - (Exp[generation,consumption,Power,0,0,0] + Exp[generation,production,Power,0,0,0] + Exp[generation,sequestration,Power,0,0,0]) : 0.0 : True\n", - " ('generation', 'Power', 0, 0, 1) : 0.0 : -1.5*P_m[generation,AqOff,0,0,0,1] - 0.417*P_m[generation,H2_Comp,0,0,0,1] - P_m[generation,LiI,0,0,0,1] + P_m[generation,LiI_discharge,0,0,0,1] - P_m[generation,PEM,0,0,0,1] + P_m[generation,PV,0,0,0,1] - 1.11*P_m[generation,SMRH,0,0,0,1] + P_m[generation,WF,0,0,0,1] - (Exp[generation,consumption,Power,0,0,1] + Exp[generation,production,Power,0,0,1] + Exp[generation,sequestration,Power,0,0,1]) : 0.0 : True\n", - " ('generation', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] - P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] + 0*P_m[generation,WF,0,0,0,0] + C[generation,Solar,0,0,0] : 0.0 : True\n", - " ('generation', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] - P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] + 0*P_m[generation,WF,0,0,0,1] + C[generation,Solar,0,0,1] : 0.0 : True\n", - " ('generation', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[generation,AqOff,0,0,0,0] + 0*P_m[generation,H2_Comp,0,0,0,0] + 0*P_m[generation,LiI,0,0,0,0] + 0*P_m[generation,LiI_discharge,0,0,0,0] + 0*P_m[generation,PEM,0,0,0,0] + 0*P_m[generation,PV,0,0,0,0] + 0*P_m[generation,SMRH,0,0,0,0] - P_m[generation,WF,0,0,0,0] + C[generation,Wind,0,0,0] : 0.0 : True\n", - " ('generation', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[generation,AqOff,0,0,0,1] + 0*P_m[generation,H2_Comp,0,0,0,1] + 0*P_m[generation,LiI,0,0,0,1] + 0*P_m[generation,LiI_discharge,0,0,0,1] + 0*P_m[generation,PEM,0,0,0,1] + 0*P_m[generation,PV,0,0,0,1] + 0*P_m[generation,SMRH,0,0,0,1] - P_m[generation,WF,0,0,0,1] + C[generation,Wind,0,0,1] : 0.0 : True\n", - " ('production', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] - 3.76*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] + C[production,CH4,0,0,0] : 0.0 : True\n", - " ('production', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] - 3.76*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] + C[production,CH4,0,0,1] : 0.0 : True\n", - " ('production', 'CO2', 0, 0, 0) : 0.0 : Imp[production,generation,CO2,0,0,0] - (Exp[production,consumption,CO2,0,0,0] + Exp[production,sequestration,CO2,0,0,0]) + (- P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 9.332*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0]) : 0.0 : True\n", - " ('production', 'CO2', 0, 0, 1) : 0.0 : Imp[production,generation,CO2,0,0,1] - (Exp[production,consumption,CO2,0,0,1] + Exp[production,sequestration,CO2,0,0,1]) + (- P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 9.332*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1]) : 0.0 : True\n", - " ('production', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('production', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('production', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 1.03*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('production', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 1.03*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('production', 'H2', 0, 0, 0) : 0.0 : Imp[production,generation,H2,0,0,0] - (Exp[production,consumption,H2,0,0,0] + Exp[production,sequestration,H2,0,0,0]) + (0*P_m[production,AqOff,0,0,0,0] - P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0.3537*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0]) : 0.0 : True\n", - " ('production', 'H2', 0, 0, 1) : 0.0 : Imp[production,generation,H2,0,0,1] - (Exp[production,consumption,H2,0,0,1] + Exp[production,sequestration,H2,0,0,1]) + (0*P_m[production,AqOff,0,0,0,1] - P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0.3537*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1]) : 0.0 : True\n", - " ('production', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,'H2(C)',0,0,0] : 0.0 : True\n", - " ('production', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,'H2(C)',0,0,1] : 0.0 : True\n", - " ('production', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] - 3.1839*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] - 23.7*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] + C[production,H2O,0,0,0] : 0.0 : True\n", - " ('production', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] - 3.1839*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] - 23.7*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] + C[production,H2O,0,0,1] : 0.0 : True\n", - " ('production', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + P_m[production,LiI,0,0,0,0] - P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - Inv[production,LiI_Power_stored,0,0,0] : 0.0 : True\n", - " ('production', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + P_m[production,LiI,0,0,0,1] - P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - (Inv[production,LiI_Power_stored,0,0,1] - Inv[production,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('production', 'O2', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 2.8302*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] - S[production,O2,0,0,0] : 0.0 : True\n", - " ('production', 'O2', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 2.8302*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] - S[production,O2,0,0,1] : 0.0 : True\n", - " ('production', 'Power', 0, 0, 0) : 0.0 : Imp[production,generation,Power,0,0,0] - (Exp[production,consumption,Power,0,0,0] + Exp[production,sequestration,Power,0,0,0]) + (-1.5*P_m[production,AqOff,0,0,0,0] - 0.417*P_m[production,H2_Comp,0,0,0,0] - P_m[production,LiI,0,0,0,0] + P_m[production,LiI_discharge,0,0,0,0] - P_m[production,PEM,0,0,0,0] + P_m[production,PV,0,0,0,0] - 1.11*P_m[production,SMRH,0,0,0,0] + P_m[production,WF,0,0,0,0]) : 0.0 : True\n", - " ('production', 'Power', 0, 0, 1) : 0.0 : Imp[production,generation,Power,0,0,1] - (Exp[production,consumption,Power,0,0,1] + Exp[production,sequestration,Power,0,0,1]) + (-1.5*P_m[production,AqOff,0,0,0,1] - 0.417*P_m[production,H2_Comp,0,0,0,1] - P_m[production,LiI,0,0,0,1] + P_m[production,LiI_discharge,0,0,0,1] - P_m[production,PEM,0,0,0,1] + P_m[production,PV,0,0,0,1] - 1.11*P_m[production,SMRH,0,0,0,1] + P_m[production,WF,0,0,0,1]) : 0.0 : True\n", - " ('production', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] - P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] + 0*P_m[production,WF,0,0,0,0] + C[production,Solar,0,0,0] : 0.0 : True\n", - " ('production', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] - P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] + 0*P_m[production,WF,0,0,0,1] + C[production,Solar,0,0,1] : 0.0 : True\n", - " ('production', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[production,AqOff,0,0,0,0] + 0*P_m[production,H2_Comp,0,0,0,0] + 0*P_m[production,LiI,0,0,0,0] + 0*P_m[production,LiI_discharge,0,0,0,0] + 0*P_m[production,PEM,0,0,0,0] + 0*P_m[production,PV,0,0,0,0] + 0*P_m[production,SMRH,0,0,0,0] - P_m[production,WF,0,0,0,0] + C[production,Wind,0,0,0] : 0.0 : True\n", - " ('production', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[production,AqOff,0,0,0,1] + 0*P_m[production,H2_Comp,0,0,0,1] + 0*P_m[production,LiI,0,0,0,1] + 0*P_m[production,LiI_discharge,0,0,0,1] + 0*P_m[production,PEM,0,0,0,1] + 0*P_m[production,PV,0,0,0,1] + 0*P_m[production,SMRH,0,0,0,1] - P_m[production,WF,0,0,0,1] + C[production,Wind,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CH4', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] - 3.76*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + C[sequestration,CH4,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CH4', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] - 3.76*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + C[sequestration,CH4,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CO2', 0, 0, 0) : 0.0 : - P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 9.332*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + Imp[sequestration,generation,CO2,0,0,0] + Imp[sequestration,production,CO2,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CO2', 0, 0, 1) : 0.0 : - P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 9.332*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + Imp[sequestration,generation,CO2,0,0,1] + Imp[sequestration,production,CO2,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CO2_AQoff', 0, 0, 0) : 0.0 : 0.95*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,CO2_AQoff,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CO2_AQoff', 0, 0, 1) : 0.0 : 0.95*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,CO2_AQoff,0,0,1] : 0.0 : True\n", - " ('sequestration', 'CO2_Vent', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 1.03*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,CO2_Vent,0,0,0] : 0.0 : True\n", - " ('sequestration', 'CO2_Vent', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 1.03*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,CO2_Vent,0,0,1] : 0.0 : True\n", - " ('sequestration', 'H2', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] - P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0.3537*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + Imp[sequestration,generation,H2,0,0,0] + Imp[sequestration,production,H2,0,0,0] : 0.0 : True\n", - " ('sequestration', 'H2', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] - P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0.3537*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + Imp[sequestration,generation,H2,0,0,1] + Imp[sequestration,production,H2,0,0,1] : 0.0 : True\n", - " ('sequestration', 'H2(C)', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,'H2(C)',0,0,0] : 0.0 : True\n", - " ('sequestration', 'H2(C)', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,'H2(C)',0,0,1] : 0.0 : True\n", - " ('sequestration', 'H2O', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] - 3.1839*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] - 23.7*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + C[sequestration,H2O,0,0,0] : 0.0 : True\n", - " ('sequestration', 'H2O', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] - 3.1839*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] - 23.7*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + C[sequestration,H2O,0,0,1] : 0.0 : True\n", - " ('sequestration', 'LiI_Power_stored', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + P_m[sequestration,LiI,0,0,0,0] - P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - Inv[sequestration,LiI_Power_stored,0,0,0] : 0.0 : True\n", - " ('sequestration', 'LiI_Power_stored', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + P_m[sequestration,LiI,0,0,0,1] - P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - (Inv[sequestration,LiI_Power_stored,0,0,1] - Inv[sequestration,LiI_Power_stored,0,0,0]) : 0.0 : True\n", - " ('sequestration', 'O2', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 2.8302*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] - S[sequestration,O2,0,0,0] : 0.0 : True\n", - " ('sequestration', 'O2', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 2.8302*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] - S[sequestration,O2,0,0,1] : 0.0 : True\n", - " ('sequestration', 'Power', 0, 0, 0) : 0.0 : -1.5*P_m[sequestration,AqOff,0,0,0,0] - 0.417*P_m[sequestration,H2_Comp,0,0,0,0] - P_m[sequestration,LiI,0,0,0,0] + P_m[sequestration,LiI_discharge,0,0,0,0] - P_m[sequestration,PEM,0,0,0,0] + P_m[sequestration,PV,0,0,0,0] - 1.11*P_m[sequestration,SMRH,0,0,0,0] + P_m[sequestration,WF,0,0,0,0] + Imp[sequestration,generation,Power,0,0,0] + Imp[sequestration,production,Power,0,0,0] : 0.0 : True\n", - " ('sequestration', 'Power', 0, 0, 1) : 0.0 : -1.5*P_m[sequestration,AqOff,0,0,0,1] - 0.417*P_m[sequestration,H2_Comp,0,0,0,1] - P_m[sequestration,LiI,0,0,0,1] + P_m[sequestration,LiI_discharge,0,0,0,1] - P_m[sequestration,PEM,0,0,0,1] + P_m[sequestration,PV,0,0,0,1] - 1.11*P_m[sequestration,SMRH,0,0,0,1] + P_m[sequestration,WF,0,0,0,1] + Imp[sequestration,generation,Power,0,0,1] + Imp[sequestration,production,Power,0,0,1] : 0.0 : True\n", - " ('sequestration', 'Solar', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] - P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] + 0*P_m[sequestration,WF,0,0,0,0] + C[sequestration,Solar,0,0,0] : 0.0 : True\n", - " ('sequestration', 'Solar', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] - P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] + 0*P_m[sequestration,WF,0,0,0,1] + C[sequestration,Solar,0,0,1] : 0.0 : True\n", - " ('sequestration', 'Wind', 0, 0, 0) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,0] + 0*P_m[sequestration,H2_Comp,0,0,0,0] + 0*P_m[sequestration,LiI,0,0,0,0] + 0*P_m[sequestration,LiI_discharge,0,0,0,0] + 0*P_m[sequestration,PEM,0,0,0,0] + 0*P_m[sequestration,PV,0,0,0,0] + 0*P_m[sequestration,SMRH,0,0,0,0] - P_m[sequestration,WF,0,0,0,0] + C[sequestration,Wind,0,0,0] : 0.0 : True\n", - " ('sequestration', 'Wind', 0, 0, 1) : 0.0 : 0*P_m[sequestration,AqOff,0,0,0,1] + 0*P_m[sequestration,H2_Comp,0,0,0,1] + 0*P_m[sequestration,LiI,0,0,0,1] + 0*P_m[sequestration,LiI_discharge,0,0,0,1] + 0*P_m[sequestration,PEM,0,0,0,1] + 0*P_m[sequestration,PV,0,0,0,1] + 0*P_m[sequestration,SMRH,0,0,0,1] - P_m[sequestration,WF,0,0,0,1] + C[sequestration,Wind,0,0,1] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_inventory_balance.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# ('generation', 'consumption', 'Grid', 0)\n", - "# plot_results.transport(results= results_cost, source = 'generation', sink = 'consumption', resource = 'Power', transport= 'Grid' )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cap_P : Process Capacity\n", - " Size=32, Index=Cap_P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('consumption', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'H2_Comp', 0) : 0 : 0.2739999999976135 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'LiI_discharge', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PEM', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('consumption', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'H2_Comp', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'LiI_discharge', 0) : 0 : 100.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'PEM', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'H2_Comp', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'LiI_discharge', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'PEM', 0) : 0 : 0.774667797568561 : None : False : False : NonNegativeReals\n", - " ('production', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'AqOff', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'H2_Comp', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'LiI_discharge', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PEM', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'PV', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'SMRH', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('sequestration', 'WF', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp_cost.Cap_P.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Trans_exp : Resource exported through transport mode\n", - " Size=108, Index=Trans_exp_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('generation', 'consumption', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'Power', 'Grid', 0, 0, 0) : 0 : 0.114258 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'Power', 'Grid', 0, 0, 1) : 0 : 0.114258 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Power', 'Grid', 0, 0, 0) : 0 : 0.774667797568561 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Power', 'Grid', 0, 0, 1) : 0 : 0.774667797568561 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.274 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.274 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'CO2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'CO2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'CO2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'CO2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'CO2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'CO2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'H2', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'H2', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'H2', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'H2', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'H2', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'H2', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Power', 'Grid', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Power', 'Grid', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Power', 'carbon', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Power', 'carbon', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Power', 'hydrogen', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Power', 'hydrogen', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp_cost.Trans_exp.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'consumption': {'H2_Comp'},\n", - " 'generation': {'LiI', 'LiI_discharge', 'PV', 'WF'},\n", - " 'production': {'PEM', 'SMRH'},\n", - " 'sequestration': {'AqOff'}}" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.loc_pro_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'consumption': {'H2', 'H2(C)', 'Power'},\n", - " 'generation': {'LiI_Power_stored', 'Power', 'Solar', 'Wind'},\n", - " 'production': {'CH4', 'CO2', 'CO2_Vent', 'H2', 'H2O', 'O2', 'Power'},\n", - " 'sequestration': {'CO2', 'CO2_AQoff', 'Power'}}" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.loc_res_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_nameplate_production_certain_capacity : restricts production to certain nameplate capacity\n", - " Size=48, Index=constraint_nameplate_production_certain_capacity_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'AqOff', 0, 0, 0) : 0.0 : P[consumption,AqOff,0,0,0] : 0.0 : True\n", - " ('consumption', 'AqOff', 0, 0, 1) : 0.0 : P[consumption,AqOff,0,0,1] : 0.0 : True\n", - " ('consumption', 'H2_Comp', 0, 0, 0) : -Inf : P[consumption,H2_Comp,0,0,0] - Cap_P[consumption,H2_Comp,0] : 0.0 : True\n", - " ('consumption', 'H2_Comp', 0, 0, 1) : -Inf : P[consumption,H2_Comp,0,0,1] - Cap_P[consumption,H2_Comp,0] : 0.0 : True\n", - " ('consumption', 'LiI', 0, 0, 0) : 0.0 : P[consumption,LiI,0,0,0] : 0.0 : True\n", - " ('consumption', 'LiI', 0, 0, 1) : 0.0 : P[consumption,LiI,0,0,1] : 0.0 : True\n", - " ('consumption', 'LiI_discharge', 0, 0, 0) : 0.0 : P[consumption,LiI_discharge,0,0,0] : 0.0 : True\n", - " ('consumption', 'LiI_discharge', 0, 0, 1) : 0.0 : P[consumption,LiI_discharge,0,0,1] : 0.0 : True\n", - " ('consumption', 'PEM', 0, 0, 0) : 0.0 : P[consumption,PEM,0,0,0] : 0.0 : True\n", - " ('consumption', 'PEM', 0, 0, 1) : 0.0 : P[consumption,PEM,0,0,1] : 0.0 : True\n", - " ('consumption', 'SMRH', 0, 0, 0) : 0.0 : P[consumption,SMRH,0,0,0] : 0.0 : True\n", - " ('consumption', 'SMRH', 0, 0, 1) : 0.0 : P[consumption,SMRH,0,0,1] : 0.0 : True\n", - " ('generation', 'AqOff', 0, 0, 0) : 0.0 : P[generation,AqOff,0,0,0] : 0.0 : True\n", - " ('generation', 'AqOff', 0, 0, 1) : 0.0 : P[generation,AqOff,0,0,1] : 0.0 : True\n", - " ('generation', 'H2_Comp', 0, 0, 0) : 0.0 : P[generation,H2_Comp,0,0,0] : 0.0 : True\n", - " ('generation', 'H2_Comp', 0, 0, 1) : 0.0 : P[generation,H2_Comp,0,0,1] : 0.0 : True\n", - " ('generation', 'LiI', 0, 0, 0) : -Inf : P[generation,LiI,0,0,0] - Cap_P[generation,LiI,0] : 0.0 : True\n", - " ('generation', 'LiI', 0, 0, 1) : -Inf : P[generation,LiI,0,0,1] - Cap_P[generation,LiI,0] : 0.0 : True\n", - " ('generation', 'LiI_discharge', 0, 0, 0) : -Inf : P[generation,LiI_discharge,0,0,0] - Cap_P[generation,LiI_discharge,0] : 0.0 : True\n", - " ('generation', 'LiI_discharge', 0, 0, 1) : -Inf : P[generation,LiI_discharge,0,0,1] - Cap_P[generation,LiI_discharge,0] : 0.0 : True\n", - " ('generation', 'PEM', 0, 0, 0) : 0.0 : P[generation,PEM,0,0,0] : 0.0 : True\n", - " ('generation', 'PEM', 0, 0, 1) : 0.0 : P[generation,PEM,0,0,1] : 0.0 : True\n", - " ('generation', 'SMRH', 0, 0, 0) : 0.0 : P[generation,SMRH,0,0,0] : 0.0 : True\n", - " ('generation', 'SMRH', 0, 0, 1) : 0.0 : P[generation,SMRH,0,0,1] : 0.0 : True\n", - " ('production', 'AqOff', 0, 0, 0) : 0.0 : P[production,AqOff,0,0,0] : 0.0 : True\n", - " ('production', 'AqOff', 0, 0, 1) : 0.0 : P[production,AqOff,0,0,1] : 0.0 : True\n", - " ('production', 'H2_Comp', 0, 0, 0) : 0.0 : P[production,H2_Comp,0,0,0] : 0.0 : True\n", - " ('production', 'H2_Comp', 0, 0, 1) : 0.0 : P[production,H2_Comp,0,0,1] : 0.0 : True\n", - " ('production', 'LiI', 0, 0, 0) : 0.0 : P[production,LiI,0,0,0] : 0.0 : True\n", - " ('production', 'LiI', 0, 0, 1) : 0.0 : P[production,LiI,0,0,1] : 0.0 : True\n", - " ('production', 'LiI_discharge', 0, 0, 0) : 0.0 : P[production,LiI_discharge,0,0,0] : 0.0 : True\n", - " ('production', 'LiI_discharge', 0, 0, 1) : 0.0 : P[production,LiI_discharge,0,0,1] : 0.0 : True\n", - " ('production', 'PEM', 0, 0, 0) : -Inf : P[production,PEM,0,0,0] - Cap_P[production,PEM,0] : 0.0 : True\n", - " ('production', 'PEM', 0, 0, 1) : -Inf : P[production,PEM,0,0,1] - Cap_P[production,PEM,0] : 0.0 : True\n", - " ('production', 'SMRH', 0, 0, 0) : -Inf : P[production,SMRH,0,0,0] - Cap_P[production,SMRH,0] : 0.0 : True\n", - " ('production', 'SMRH', 0, 0, 1) : -Inf : P[production,SMRH,0,0,1] - Cap_P[production,SMRH,0] : 0.0 : True\n", - " ('sequestration', 'AqOff', 0, 0, 0) : -Inf : P[sequestration,AqOff,0,0,0] - Cap_P[sequestration,AqOff,0] : 0.0 : True\n", - " ('sequestration', 'AqOff', 0, 0, 1) : -Inf : P[sequestration,AqOff,0,0,1] - Cap_P[sequestration,AqOff,0] : 0.0 : True\n", - " ('sequestration', 'H2_Comp', 0, 0, 0) : 0.0 : P[sequestration,H2_Comp,0,0,0] : 0.0 : True\n", - " ('sequestration', 'H2_Comp', 0, 0, 1) : 0.0 : P[sequestration,H2_Comp,0,0,1] : 0.0 : True\n", - " ('sequestration', 'LiI', 0, 0, 0) : 0.0 : P[sequestration,LiI,0,0,0] : 0.0 : True\n", - " ('sequestration', 'LiI', 0, 0, 1) : 0.0 : P[sequestration,LiI,0,0,1] : 0.0 : True\n", - " ('sequestration', 'LiI_discharge', 0, 0, 0) : 0.0 : P[sequestration,LiI_discharge,0,0,0] : 0.0 : True\n", - " ('sequestration', 'LiI_discharge', 0, 0, 1) : 0.0 : P[sequestration,LiI_discharge,0,0,1] : 0.0 : True\n", - " ('sequestration', 'PEM', 0, 0, 0) : 0.0 : P[sequestration,PEM,0,0,0] : 0.0 : True\n", - " ('sequestration', 'PEM', 0, 0, 1) : 0.0 : P[sequestration,PEM,0,0,1] : 0.0 : True\n", - " ('sequestration', 'SMRH', 0, 0, 0) : 0.0 : P[sequestration,SMRH,0,0,0] : 0.0 : True\n", - " ('sequestration', 'SMRH', 0, 0, 1) : 0.0 : P[sequestration,SMRH,0,0,1] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_nameplate_production_certain_capacity.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'PEM': 1550000.0,\n", - " 'WF': 1462000,\n", - " 'SMRH': 2520000,\n", - " 'AqOff': 552000,\n", - " 'LiI': 1302182,\n", - " 'LiI_discharge': 0,\n", - " 'H2_Comp': 1600000.0,\n", - " 'PV': 1333262}" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.capex_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'PEM': 0,\n", - " 'WF': 4953,\n", - " 'SMRH': 51.5,\n", - " 'AqOff': 4140,\n", - " 'LiI': 2000,\n", - " 'LiI_discharge': 0,\n", - " 'H2_Comp': 3.5,\n", - " 'PV': 4953}" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.vopex_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'PEM': 0,\n", - " 'WF': 43000,\n", - " 'SMRH': 945000,\n", - " 'AqOff': 0,\n", - " 'LiI': 41432,\n", - " 'LiI_discharge': 0,\n", - " 'H2_Comp': 0,\n", - " 'PV': 22623}" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.fopex_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
capexvopexfopex
PEM1550000.00.00
WF1462000.04953.043000
SMRH2520000.051.5945000
AqOff552000.04140.00
LiI1302182.02000.041432
LiI_discharge0.00.00
H2_Comp1600000.03.50
PV1333262.04953.022623
\n", - "
" - ], - "text/plain": [ - " capex vopex fopex\n", - "PEM 1550000.0 0.0 0\n", - "WF 1462000.0 4953.0 43000\n", - "SMRH 2520000.0 51.5 945000\n", - "AqOff 552000.0 4140.0 0\n", - "LiI 1302182.0 2000.0 41432\n", - "LiI_discharge 0.0 0.0 0\n", - "H2_Comp 1600000.0 3.5 0\n", - "PV 1333262.0 4953.0 22623" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.cost_df" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/material/ESCAPE34-material.ipynb b/examples/material/ESCAPE34-material.ipynb deleted file mode 100644 index ea13c988..00000000 --- a/examples/material/ESCAPE34-material.ipynb +++ /dev/null @@ -1,2686 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from itertools import product" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": {}, - "outputs": [], - "source": [ - "# def load_data(loc: str, index: list):\n", - "# df = pandas.read_csv(f'C:/Users/marcopdsousa/energiapy/data/{loc}_solar19.csv')\n", - "# df['idx'] = index\n", - "# df = df.set_index('idx')\n", - "# return df\n", - "# idx = [(i, j, k) for i, j, k in product(range(1), range(365), range(24))]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_ho = load_data('ho', idx)[['dni']]" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [], - "source": [ - "#for i in range(20):\n", - "# weather_ho['dni'][0, 0, i] = 0.5" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": {}, - "outputs": [], - "source": [ - "# demand_ho = pandas.read_excel('C:/Users/marcopdsousa/energiapy/data/Native_Load_2019.xlsx')[['COAST']]\n", - "# demand_ho = demand_ho.set_index(weather_ho.index)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [], - "source": [ - "demand_factor = pandas.DataFrame(data={'Power': [0.9, 0.9, 1, 1]})\n", - "revenue_factor = pandas.DataFrame(data={'Power': [0.8, 0.9, 0.94, 0.96]})\n", - "capacity_factor_pv = pandas.DataFrame(data={'PV': [0.6, 0, 0.4, 0.7]})\n", - "capacity_factor_wf = pandas.DataFrame(data={'WF': [0.3, 0, 0.5, 0.2]})" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 4])" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Declare Resources" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power', price= 0.01)\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power', price = 0.01)\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand=True,\n", - " label='Power generated')#, varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "LiIPower = Resource(name='LiIPower', basis='MW',\n", - " store_max=bigM, label='Power bought')\n", - "\n", - "GridPower = Resource(name='GridPower', basis='MW',\n", - " cons_max=bigM, label='Power bought')\n", - "\n", - "H2O = Resource(name='H2O', cons_max=10**10,\n", - " price=0.001, basis='kg', label='Water', block='Resource')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Declare Materials" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [], - "source": [ - "#These two are derived from the carbonate versions, there are two hydroxide versions as well - FUTURE WORK\n", - "\n", - "LiR = Material(name='LiR', gwp=9600, basis='kg CO2 eq./ton', label='Rock-based Lithium',\n", - " citation='https://www.iea.org/data-and-statistics/charts/ghg-emissions-intensity-for-lithium-by-resource-type-and-processing-route') \n", - "LiB = Material(name='LiB', gwp=2800, basis='kg CO2 eq./ton', label='Brine-based Lithium',\n", - " citation='https://www.iea.org/data-and-statistics/charts/ghg-emissions-intensity-for-lithium-by-resource-type-and-processing-route') \n", - "\n", - "#https://onlinelibrary.wiley.com/doi/full/10.1002/ente.201800037#:~:text=It%20is%20well%20established%20that,53%20g%20CO2%20eq.\n", - "\n", - "# Monocrystalline = Material(name='Mc', gwp=20, resource_cons={H2O: 1.5}, toxicity=40.74, basis='kg', label='Mono',\n", - "# citation='Environmental impact assessment of monocrystalline silicon solar photovoltaic cell production: a case study in China (toxicity)')\n", - "# Polycrystalline = Material(name='Pc', gwp=26, resource_cons={\n", - "# H2O: 1}, toxicity=15, basis='kg', label='Poly', citation='Environmental Economic Impact Assessments of a ... - MDPI (gwp and toxicity)')\n", - "# CdTE = Material(name='CdTe', gwp=40, resource_cons={H2O: 0.25}, toxicity=5, basis='kg', label='C',\n", - "# citation='Investigation of life cycle CO2 emissions of the polycrystalline and cadmium telluride PV panels')\n", - "\n", - "\n", - "#https://pdf.sciencedirectassets.com/271750/1-s2.0-S0959652620X0028X/1-s2.0-S0959652620334302/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGQaCXVzLWVhc3QtMSJIMEYCIQDdux8FsTi80ONVaLUHG%2Fc77x1p5fX3Axl1tuaHHcwyQAIhAPzy5BEJFvrX3Vn7g9VkHxgbFUj0fV%2FI5sQzQH322RpoKrwFCK3%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQBRoMMDU5MDAzNTQ2ODY1IgzRg6LJctsIVeU0x6kqkAWQHON8dX1M55PKA4tcj1bFrVWi1HpQ9%2FyhsgHvG%2BAtp%2BQUt7F4i9eMyCAJWb0o4HvJFP5Lo%2BjDXs1yeen3uI%2B7pwedOafSIidWhsvuRf77dy3Xw2DkX4ldDtX4fpydspAadEfL6l75BMSm7fgpgLd%2BU1ue61PDw1HcZ6FWKjOCvePi54VrSLf0patq0QMAtHga6grtfjAjfvuYY5rhpTf99TRJd%2FWqNPMbH%2B%2FGzWzEnWyHS6tOQ03g3ogk5gCpNGHiTWglvoPrByNUPpUU9FhoZNU81h7%2BrLQkMJFOd3OawaDsQcimEcTuZt0p9bk%2FjXpLPqCvCclNMpMr1HujqlD7s8UGfgkKD0bLXoBrp7PkaKtNvlcpvia5jxxrML9%2FNdpHbSkV5jjfxd%2F8RXa6aa679ozu8jb4qQDPsrcjT1Aks%2BW680ZyzUOZZ3wprNGkPolaMRNMW5PCSIIhWe4k5nGdSzGa5xQbMokzCdiyCpgxjfG7Ay4FV5OsN1%2BecFQFgnLEW6iOP2qfZ8VKoJamHRwk3U26sizjHuENwwcUoLR73DgMU5wg6LVNxAeqKpuk8IGicCSEkLgBB0A9hjTdjsNJuAy9R%2FgvBs4CnxYcmgKpI6hQlFJ8PKKjUx%2B2lCXZ1efRp05WKHk3MwLkGsenr2tfBut2lZ1%2BbL5NwIMCLdPLGOYbeZNz6NEPfgOSQHRiICj2sYFFSnyuAK4YgQhnpxb5v0HnDlF0pFCmq5amYxV7JysXLARrpTTgvCVFD8HJeE7U9q6BwuUL1PQENS%2BtddQ4oNy9Ptjj5%2FNpX6XW4s565Gna7bFawIL7OS34xLllo93pk4OzbYwr6AjenUQenZle02IBzvqJaF3iS9jY8Lh9GzDNi9%2BqBjqwAaDhhcY0NWQjaKyaq%2F2xePMHZT9o6o%2Bn8hm%2BZwlBS4EEaAp6JlXtdeJlsSlqdTlT5YqjV5rI6kHa3BpHOZZ8vUGCjQxrV8P%2BsK9OJJ7gS%2FXIFk6Evhbr3cuCTdE0mEJR1nhkJ6ksqyg1ODr1rLDtVvuav%2B%2Bf9SkIRv46W6zkb8%2FlTDmR4LChaB3Z6jS1j6xn80LG1ZEDnfJmdblWwsBwrVl337jDu59W6abrYEQwE%2BUv&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20231117T202844Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYTRYN4UG2%2F20231117%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=d3465917f27e835114415bc01194c619e969b3d580b1be4a73391b3238668e1b&hash=9068ca6063a6b53d5c277d82054daa9005e2d28b61e7753a21910f4bd72d6248&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0959652620334302&tid=spdf-6c4eb06b-90a6-44ce-8d80-42aed15ee88d&sid=323fd3a9382ab84cf649f16-9d69523c7333gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=0f155e55590e0059000258&rr=827ab8cc98080be8&cc=us\n", - "# The link above is used to get gwp of a land based windfarm and an offshore windfarm\n", - "# Landbased = Material(name='Lb', gwp=5, basis='kg', label='Landbased',\n", - "# citation='https://pdf.sciencedirectassets.com/271750/1-s2.0-S0959652620X0028X/1-s2.0-S0959652620334302/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGQaCXVzLWVhc3QtMSJIMEYCIQDdux8FsTi80ONVaLUHG%2Fc77x1p5fX3Axl1tuaHHcwyQAIhAPzy5BEJFvrX3Vn7g9VkHxgbFUj0fV%2FI5sQzQH322RpoKrwFCK3%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQBRoMMDU5MDAzNTQ2ODY1IgzRg6LJctsIVeU0x6kqkAWQHON8dX1M55PKA4tcj1bFrVWi1HpQ9%2FyhsgHvG%2BAtp%2BQUt7F4i9eMyCAJWb0o4HvJFP5Lo%2BjDXs1yeen3uI%2B7pwedOafSIidWhsvuRf77dy3Xw2DkX4ldDtX4fpydspAadEfL6l75BMSm7fgpgLd%2BU1ue61PDw1HcZ6FWKjOCvePi54VrSLf0patq0QMAtHga6grtfjAjfvuYY5rhpTf99TRJd%2FWqNPMbH%2B%2FGzWzEnWyHS6tOQ03g3ogk5gCpNGHiTWglvoPrByNUPpUU9FhoZNU81h7%2BrLQkMJFOd3OawaDsQcimEcTuZt0p9bk%2FjXpLPqCvCclNMpMr1HujqlD7s8UGfgkKD0bLXoBrp7PkaKtNvlcpvia5jxxrML9%2FNdpHbSkV5jjfxd%2F8RXa6aa679ozu8jb4qQDPsrcjT1Aks%2BW680ZyzUOZZ3wprNGkPolaMRNMW5PCSIIhWe4k5nGdSzGa5xQbMokzCdiyCpgxjfG7Ay4FV5OsN1%2BecFQFgnLEW6iOP2qfZ8VKoJamHRwk3U26sizjHuENwwcUoLR73DgMU5wg6LVNxAeqKpuk8IGicCSEkLgBB0A9hjTdjsNJuAy9R%2FgvBs4CnxYcmgKpI6hQlFJ8PKKjUx%2B2lCXZ1efRp05WKHk3MwLkGsenr2tfBut2lZ1%2BbL5NwIMCLdPLGOYbeZNz6NEPfgOSQHRiICj2sYFFSnyuAK4YgQhnpxb5v0HnDlF0pFCmq5amYxV7JysXLARrpTTgvCVFD8HJeE7U9q6BwuUL1PQENS%2BtddQ4oNy9Ptjj5%2FNpX6XW4s565Gna7bFawIL7OS34xLllo93pk4OzbYwr6AjenUQenZle02IBzvqJaF3iS9jY8Lh9GzDNi9%2BqBjqwAaDhhcY0NWQjaKyaq%2F2xePMHZT9o6o%2Bn8hm%2BZwlBS4EEaAp6JlXtdeJlsSlqdTlT5YqjV5rI6kHa3BpHOZZ8vUGCjQxrV8P%2BsK9OJJ7gS%2FXIFk6Evhbr3cuCTdE0mEJR1nhkJ6ksqyg1ODr1rLDtVvuav%2B%2Bf9SkIRv46W6zkb8%2FlTDmR4LChaB3Z6jS1j6xn80LG1ZEDnfJmdblWwsBwrVl337jDu59W6abrYEQwE%2BUv&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20231117T202844Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYTRYN4UG2%2F20231117%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=d3465917f27e835114415bc01194c619e969b3d580b1be4a73391b3238668e1b&hash=9068ca6063a6b53d5c277d82054daa9005e2d28b61e7753a21910f4bd72d6248&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0959652620334302&tid=spdf-6c4eb06b-90a6-44ce-8d80-42aed15ee88d&sid=323fd3a9382ab84cf649f16-9d69523c7333gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=0f155e55590e0059000258&rr=827ab8cc98080be8&cc=us')\n", - "# Offshore = Material(name='Os', gwp=7.8, basis='kg', label='Offshore', citation='https://pdf.sciencedirectassets.com/271750/1-s2.0-S0959652620X0028X/1-s2.0-S0959652620334302/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEGQaCXVzLWVhc3QtMSJIMEYCIQDdux8FsTi80ONVaLUHG%2Fc77x1p5fX3Axl1tuaHHcwyQAIhAPzy5BEJFvrX3Vn7g9VkHxgbFUj0fV%2FI5sQzQH322RpoKrwFCK3%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQBRoMMDU5MDAzNTQ2ODY1IgzRg6LJctsIVeU0x6kqkAWQHON8dX1M55PKA4tcj1bFrVWi1HpQ9%2FyhsgHvG%2BAtp%2BQUt7F4i9eMyCAJWb0o4HvJFP5Lo%2BjDXs1yeen3uI%2B7pwedOafSIidWhsvuRf77dy3Xw2DkX4ldDtX4fpydspAadEfL6l75BMSm7fgpgLd%2BU1ue61PDw1HcZ6FWKjOCvePi54VrSLf0patq0QMAtHga6grtfjAjfvuYY5rhpTf99TRJd%2FWqNPMbH%2B%2FGzWzEnWyHS6tOQ03g3ogk5gCpNGHiTWglvoPrByNUPpUU9FhoZNU81h7%2BrLQkMJFOd3OawaDsQcimEcTuZt0p9bk%2FjXpLPqCvCclNMpMr1HujqlD7s8UGfgkKD0bLXoBrp7PkaKtNvlcpvia5jxxrML9%2FNdpHbSkV5jjfxd%2F8RXa6aa679ozu8jb4qQDPsrcjT1Aks%2BW680ZyzUOZZ3wprNGkPolaMRNMW5PCSIIhWe4k5nGdSzGa5xQbMokzCdiyCpgxjfG7Ay4FV5OsN1%2BecFQFgnLEW6iOP2qfZ8VKoJamHRwk3U26sizjHuENwwcUoLR73DgMU5wg6LVNxAeqKpuk8IGicCSEkLgBB0A9hjTdjsNJuAy9R%2FgvBs4CnxYcmgKpI6hQlFJ8PKKjUx%2B2lCXZ1efRp05WKHk3MwLkGsenr2tfBut2lZ1%2BbL5NwIMCLdPLGOYbeZNz6NEPfgOSQHRiICj2sYFFSnyuAK4YgQhnpxb5v0HnDlF0pFCmq5amYxV7JysXLARrpTTgvCVFD8HJeE7U9q6BwuUL1PQENS%2BtddQ4oNy9Ptjj5%2FNpX6XW4s565Gna7bFawIL7OS34xLllo93pk4OzbYwr6AjenUQenZle02IBzvqJaF3iS9jY8Lh9GzDNi9%2BqBjqwAaDhhcY0NWQjaKyaq%2F2xePMHZT9o6o%2Bn8hm%2BZwlBS4EEaAp6JlXtdeJlsSlqdTlT5YqjV5rI6kHa3BpHOZZ8vUGCjQxrV8P%2BsK9OJJ7gS%2FXIFk6Evhbr3cuCTdE0mEJR1nhkJ6ksqyg1ODr1rLDtVvuav%2B%2Bf9SkIRv46W6zkb8%2FlTDmR4LChaB3Z6jS1j6xn80LG1ZEDnfJmdblWwsBwrVl337jDu59W6abrYEQwE%2BUv&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20231117T202844Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYTRYN4UG2%2F20231117%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=d3465917f27e835114415bc01194c619e969b3d580b1be4a73391b3238668e1b&hash=9068ca6063a6b53d5c277d82054daa9005e2d28b61e7753a21910f4bd72d6248&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0959652620334302&tid=spdf-6c4eb06b-90a6-44ce-8d80-42aed15ee88d&sid=323fd3a9382ab84cf649f16-9d69523c7333gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=0f155e55590e0059000258&rr=827ab8cc98080be8&cc=us')\n", - "\n", - "# Materials for the land-based and off-shore wind farms\n", - "'''The gwp is given in kg CO2 eq./kg'''\n", - "\n", - "Steel = Material(name ='steel', gwp= 2121.152427, basis='kg CO2 eq./ton', label = 'Steel', \n", - " citation= 'Annika Eberle et al., (2023), Materials used in U.S. Wind Energy Technologies: Quanitities and Availability for Two Future Scenarios')\n", - "\n", - "Cast_iron = Material(name ='cast iron', gwp= 1759.710573, basis='kg CO2 eq./ton', label = 'Cast iron', \n", - " citation= 'Annika Eberle et al., (2023), Materials used in U.S. Wind Energy Technologies: Quanitities and Availability for Two Future Scenarios')\n", - "\n", - "Concrete = Material(name ='concrete', gwp= 120.0378, basis='kg CO2 eq./ton', label = 'Concrete', \n", - " citation= 'Annika Eberle et al., (2023), Materials used in U.S. Wind Energy Technologies: Quanitities and Availability for Two Future Scenarios')\n", - "\n", - "Glass = Material(name = 'glass', gwp = 1118.5, basis = 'kg CO2 eq./ton', label = 'glass',\n", - " citation = 'Statista.com/statistics/1118670/materials-used-manufacture-solar-pv-plant-globally. & https://solaredition.com/raw-materials-breakdown-for-building-a-1-megawatt-solar-photovoltaic-plant-2017')\n", - "\n", - "Aluminium = Material(name = 'aluminium', gwp = 16707.00, basis = 'kg CO2 eq./ton', label = 'aluminium',\n", - " citation = 'https://www.researchgate.net/figure/Overall-environmental-impact-per-kg-Pts-kg-and-GWP-kg-of-CO2-eq-kg-aluminium-of_fig2_295243557. & Statista.com/statistics/1118670/materials-used-manufacture-solar-pv-plant-globally. & https://solaredition.com/raw-materials-breakdown-for-building-a-1-megawatt-solar-photovoltaic-plant-2017')\n", - "\n", - "\n", - "Silicon = Material(name = 'silicon', gwp = 50137.8, basis = 'kg CO2 eq./ton', label = 'silicon',\n", - " citation = 'Statista.com/statistics/1118670/materials-used-manufacture-solar-pv-plant-globally. & https://solaredition.com/raw-materials-breakdown-for-building-a-1-megawatt-solar-photovoltaic-plant-2017')\n", - "\n", - "Copper = Material(name = 'copper', gwp = 8660.4, basis = 'kg CO2 eq./ton', label = 'copper',\n", - " citation = 'Statista.com/statistics/1118670/materials-used-manufacture-solar-pv-plant-globally. & https://solaredition.com/raw-materials-breakdown-for-building-a-1-megawatt-solar-photovoltaic-plant-2017')\n", - "\n", - "#Road_aggregate = Material(name ='road aggregate', gwp= 1, basis='Mt/MW', label = 'Road aggregate', \n", - "# citation= 'Annika Eberle et al., (2023), Materials used in U.S. Wind Energy Technologies: Quanitities and Availability for Two Future Scenarios')\n", - "\n", - "#Misc_materials = Material(name ='misc.', gwp= 1, basis='Mt/MW', label = 'misc.', \n", - "# citation= 'Annika Eberle et al., (2023), Materials used in U.S. Wind Energy Technologies: Quanitities and Availability for Two Future Scenarios')\n", - "\n", - "#Alloys = Material(name ='alloys', gwp= 1, basis='Mt/MW', label = 'Alloys', \n", - " # citation= 'Annika Eberle et al., (2023), Materials used in U.S. Wind Energy Technologies: Quanitities and Availability for Two Future Scenarios')\n", - "\n", - "#Polymers = Material(name ='polymers', gwp= 1, basis='Mt/MW', label = 'Polymers', \n", - "# citation= 'Annika Eberle et al., (2023), Materials used in U.S. Wind Energy Technologies: Quanitities and Availability for Two Future Scenarios')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Declare Processes" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', conversion= {'Brine': {Power: -1, LiIPower: 1},'Rock': {Power: -1, LiIPower: 1}}, material_cons={'Brine': {LiB: 20},'Rock': {LiR: 20}}, capex={'Brine': 1302182, 'Rock': 1302182}, \n", - " fopex={'Brine': 41432, 'Rock': 41432}, vopex={'Brine': 2000, 'Rock': 2000}, prod_min=smallM, prod_max=bigM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "# LiI2 = Process(name='LiI2', conversion= {'Brine': {Power: -1, LiIPower: 1}}, material_cons={'Brine': {LiB: 20}}, capex={'Brine': 1302182}, \n", - "# fopex={'Brine': 41432}, vopex={'Brine': 2000}, prod_min=smallM, prod_max=bigM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "LiI2 = Process(name='LiI2', conversion= {'Rock': {Power: -1, LiIPower: 1}}, material_cons={'Rock': {LiR: 20}}, capex={'Rock': 1302182}, \n", - " fopex={'Rock': 41432}, vopex={'Rock': 2000}, prod_min=smallM, prod_max=bigM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "LiI_discharge = Process(name='LiI_d', conversion={'Dummy': {Power: 0.8, LiIPower: -1}}, capex={'Dummy': 0.1},\n", - " fopex={'Dummy': 0.01}, vopex={'Dummy': 0}, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW', material_cons= {'Dummy': {LiB: 0}})\n", - "\n", - "# PV = Process(name='PV', conversion={'Mo':{Solar: -5, Power: 1}, 'Po': {Solar: -6.67, Power: 1}, 'Cd': {Solar: -5, Power: 1}}, \n", - "# capex= {'Mo': 990637, 'Po': 990637, 'Cd': 567000}, fopex= {'Mo': 3354, 'Po': 3354, 'Cd': 8720}, vopex= {'Mo': 4953, 'Po': 4953, 'Cd': 900}\n", - "# , material_cons={'Mo': {Monocrystalline: 0.4}, 'Po': {Polycrystalline: 0.36}, 'Cd': {CdTE: 0.02}},\n", - "# prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "\n", - "'New Capex is obtained from 2018 projection https://www.statista.com/statistics/1118626/solar-pv-installation-cost-projection/'\n", - "'New Capex for Polycrystalline is found from https://www.cnet.com/home/energy-and-utilities/monocrystalline-vs-polycrystalline-which-solar-panels-are-right-for-you/'\n", - "\n", - "PV = Process(name='PV', conversion={'Mo':{Solar: -5, Power: 1}, 'Po': {Solar: -6.67, Power: 1}}, \n", - " capex= {'Mo': 1210000 , 'Po': 1000000}, fopex= {'Mo': 3354, 'Po': 3354}, vopex= {'Mo': 4953, 'Po': 4953}\n", - " , material_cons={'Mo': {Glass: 70, Steel: 56, Concrete: 48, Aluminium: 19, Silicon: 7, Copper: 7}, 'Po': {Glass: 70, Steel: 56, Concrete: 48, Aluminium: 19, Silicon: 7, Copper: 7}},\n", - " prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "# Processess for the land-based and off-shore wind farms\n", - "# Reference for land-based WF capacity factor \n", - "# https://css.umich.edu/publications/factsheets/energy/wind-energy-factsheet#:~:text=The%20capacity%20factor%20of%20a,by%20its%20maximum%20power%20capability.&text=Capacity%20factor%20of%20land%20based,52%25%20and%20averages%2035%25.\n", - "# Reference of offshore WF capacity factor\n", - "# https://www.statista.com/statistics/1368679/global-offshore-wind-capacity-factor/#:~:text=Between%202010%20and%202022%2C%20the,wind%20stood%20at%2042%20percent.\n", - "\n", - "'''Material consumption for these WindFarms are based on kg of material/MW except for concrete which is in m^3/MW so that it can link with it's GWP'''\n", - "\n", - "WF = Process(name='WF', conversion={'WF_L':{Wind: -2.857, Power: 1}, 'WF_O': {Wind: -2.3255, Power: 1}}, \n", - " capex= {'WF_L': 1501000, 'WF_O': 3871000}, fopex= {'WF_L': 40000, 'WF_O': 111000}, vopex= {'WF_L': 0, 'WF_O': 0}\n", - " , material_cons={'WF_L': {Steel: 109.9, Cast_iron: 8.805, Concrete: 398.7}, 'WF_O': {Steel: 249.605, Cast_iron: 8.700, Concrete: 0}},\n", - " prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Wind farm', basis='MW')" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes={LiI, LiI_discharge, WF, PV}, capacity_factor={PV: capacity_factor_pv, WF: capacity_factor_wf},\n", - " demand_factor={Power: demand_factor}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level=1, price_scale_level=1)\n", - "\n", - "houston2 = Location(name='HO2', processes={LiI2, LiI_discharge, WF, PV}, capacity_factor={PV: capacity_factor_pv, WF: capacity_factor_wf},\n", - " demand_factor={Power: demand_factor}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level=1, price_scale_level=1)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [], - "source": [ - "#weather_ho" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [], - "source": [ - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=1,\n", - " network_scale_level=0, demand_scale_level=1, capacity_scale_level = 1, label='full_case', demand={houston: {Power: 100}})\n", - "\n", - "scenario2 = Scenario(name='scenario_full2', network=houston2, scales=scales, expenditure_scale_level=0, scheduling_scale_level=1,\n", - " network_scale_level=0, demand_scale_level=1, capacity_scale_level = 1, label='full_case', demand={houston2: {Power: 100}})" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine', 'Rock'},\n", - " 'LiI_d': {'Dummy'},\n", - " 'WF': {'WF_L', 'WF_O'},\n", - " 'PV': {'Mo', 'Po'}}" - ] - }, - "execution_count": 104, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_modes_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_scenario.capacity_factor(\n", - " # scenario=scenario, location=houston, process=PV_Po, fig_size=(9, 5), color='orange')\n", - "#plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 106, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint global warming potential material mode\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint production facility material mode\n", - "constraint production facility material mode binary\n", - "constraint production facility material\n", - "constraint min production facility material\n", - "constraint material mode process\n", - "constraint nameplate production material mode\n", - "constraint location production material mode\n", - "constraint location production material mode sum\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL}, objective=Objective.MAX_DISCHARGE, write_lpfile=True, objective_resource=Power)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint global warming potential material mode\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint production facility material mode\n", - "constraint production facility material mode binary\n", - "constraint production facility material\n", - "constraint min production facility material\n", - "constraint material mode process\n", - "constraint nameplate production material mode\n", - "constraint location production material mode\n", - "constraint location production material mode sum\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint global warming potential material mode\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint production facility material mode\n", - "constraint production facility material mode binary\n", - "constraint production facility material\n", - "constraint min production facility material\n", - "constraint material mode process\n", - "constraint nameplate production material mode\n", - "constraint location production material mode\n", - "constraint location production material mode sum\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL, Constraints.DEMAND}, objective=Objective.COST)\n", - "milp_cost2 = formulate(scenario=scenario2, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL, Constraints.DEMAND}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint global warming potential material mode\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint production facility material mode\n", - "constraint production facility material mode binary\n", - "constraint production facility material\n", - "constraint min production facility material\n", - "constraint material mode process\n", - "constraint nameplate production material mode\n", - "constraint location production material mode\n", - "constraint location production material mode sum\n", - "constraint demand\n", - "constraint network cost\n", - "objective gwp min\n" - ] - } - ], - "source": [ - "milp_gwp = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL, Constraints.DEMAND}, objective=Objective.MIN_GWP)" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 621 rows, 654 columns and 1444 nonzeros\n", - "Model fingerprint: 0x244c2259\n", - "Variable types: 642 continuous, 12 integer (12 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+05, 1e+05]\n", - "Found heuristic solution: objective -0.0000000\n", - "Presolve removed 567 rows and 609 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 54 rows, 45 columns, 151 nonzeros\n", - "Variable types: 39 continuous, 6 integer (6 binary)\n", - "\n", - "Root relaxation: objective 1.860030e+05, 27 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 186003.010 0 2 -0.00000 186003.010 - - 0s\n", - "H 0 0 186003.01011 186003.010 0.00% - 0s\n", - " 0 0 186003.010 0 2 186003.010 186003.010 0.00% - 0s\n", - "\n", - "Explored 1 nodes (27 simplex iterations) in 0.02 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 186003 -0 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.860030101054e+05, best bound 1.860030101054e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_demand = solve(scenario=scenario, instance=milp_demand,\n", - " solver='gurobi', name=f\"results_demand\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 624 rows, 654 columns and 1441 nonzeros\n", - "Model fingerprint: 0xff8e657c\n", - "Variable types: 642 continuous, 12 integer (12 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [9e+01, 1e+05]\n", - "Presolve removed 567 rows and 609 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 57 rows, 45 columns, 160 nonzeros\n", - "Variable types: 40 continuous, 5 integer (5 binary)\n", - "Found heuristic solution: objective 4.468475e+08\n", - "\n", - "Root relaxation: objective 3.904176e+08, 29 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 3.904176e+08 3.9042e+08 0.00% - 0s\n", - "\n", - "Explored 1 nodes (29 simplex iterations) in 0.02 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 3.90418e+08 4.46848e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.904175725000e+08, best bound 3.904175725000e+08, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 565 rows, 585 columns and 1290 nonzeros\n", - "Model fingerprint: 0x2c7bb147\n", - "Variable types: 574 continuous, 11 integer (11 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [9e+01, 1e+05]\n", - "Presolve removed 519 rows and 548 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 46 rows, 37 columns, 126 nonzeros\n", - "Variable types: 33 continuous, 4 integer (4 binary)\n", - "Found heuristic solution: objective 4.468475e+08\n", - "\n", - "Root relaxation: objective 3.904176e+08, 21 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 3.904176e+08 3.9042e+08 0.00% - 0s\n", - "\n", - "Explored 1 nodes (21 simplex iterations) in 0.02 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 3.90418e+08 4.46848e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.904175725000e+08, best bound 3.904175725000e+08, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost,\n", - " solver='gurobi', name=f\"results_cost\", print_solversteps=True)\n", - "\n", - "results_cost2 = solve(scenario=scenario2, instance=milp_cost2,\n", - " solver='gurobi', name=f\"results_cost2\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "390417572.5" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost2.output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "390417572.5" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO2', 'LiI2', 'Rock', 0): 1.0,\n", - " ('HO2', 'LiI_d', 'Dummy', 0): 1.0,\n", - " ('HO2', 'PV', 'Mo', 0): 0.0,\n", - " ('HO2', 'PV', 'Po', 0): 1.0,\n", - " ('HO2', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO2', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 113, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost2.output['X_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 1.0,\n", - " ('HO', 'LiI', 'Rock', 0): -0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 1.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 1.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 114, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO2', 'LiI2', 0): 4661100.0,\n", - " ('HO2', 'LiI_d', 0): 1.125,\n", - " ('HO2', 'PV', 0): 792382.4999999999,\n", - " ('HO2', 'WF', 0): 0.0}" - ] - }, - "execution_count": 115, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost2.output['Fopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 4661100.0,\n", - " ('HO', 'LiI_d', 0): 1.125,\n", - " ('HO', 'PV', 0): 792382.4999999999,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 116, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Fopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : vopex for process\n", - " Size=4, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'LiI', 0) : 0.0 : Vopex_process[HO,LiI,0] - (2000*P_location_material_m[HO,LiI,Brine,0] + 2000*P_location_material_m[HO,LiI,Rock,0]) : 0.0 : True\n", - " ('HO', 'LiI_d', 0) : 0.0 : Vopex_process[HO,LiI_d,0] + 0*P_location_material_m[HO,LiI_d,Dummy,0] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : Vopex_process[HO,PV,0] - (4953*P_location_material_m[HO,PV,Mo,0] + 4953*P_location_material_m[HO,PV,Po,0]) : 0.0 : True\n", - " ('HO', 'WF', 0) : 0.0 : Vopex_process[HO,WF,0] - (0*P_location_material_m[HO,WF,WF_L,0] + 0*P_location_material_m[HO,WF,WF_O,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : vopex for process\n", - " Size=4, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO2', 'LiI2', 0) : 0.0 : Vopex_process[HO2,LiI2,0] - 2000*P_location_material_m[HO2,LiI2,Rock,0] : 0.0 : True\n", - " ('HO2', 'LiI_d', 0) : 0.0 : Vopex_process[HO2,LiI_d,0] + 0*P_location_material_m[HO2,LiI_d,Dummy,0] : 0.0 : True\n", - " ('HO2', 'PV', 0) : 0.0 : Vopex_process[HO2,PV,0] - (4953*P_location_material_m[HO2,PV,Mo,0] + 4953*P_location_material_m[HO2,PV,Po,0]) : 0.0 : True\n", - " ('HO2', 'WF', 0) : 0.0 : Vopex_process[HO2,WF,0] - (0*P_location_material_m[HO2,WF,WF_L,0] + 0*P_location_material_m[HO2,WF,WF_O,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost2.constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 119, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : vopex for process\n", - " Size=4, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'LiI', 0) : 0.0 : Vopex_process[HO,LiI,0] - (2000*P_location_material_m[HO,LiI,Brine,0] + 2000*P_location_material_m[HO,LiI,Rock,0]) : 0.0 : True\n", - " ('HO', 'LiI_d', 0) : 0.0 : Vopex_process[HO,LiI_d,0] + 0*P_location_material_m[HO,LiI_d,Dummy,0] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : Vopex_process[HO,PV,0] - (4953*P_location_material_m[HO,PV,Mo,0] + 4953*P_location_material_m[HO,PV,Po,0]) : 0.0 : True\n", - " ('HO', 'WF', 0) : 0.0 : Vopex_process[HO,WF,0] - (0*P_location_material_m[HO,WF,WF_L,0] + 0*P_location_material_m[HO,WF,WF_O,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : vopex for process\n", - " Size=4, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO2', 'LiI2', 0) : 0.0 : Vopex_process[HO2,LiI2,0] - 2000*P_location_material_m[HO2,LiI2,Rock,0] : 0.0 : True\n", - " ('HO2', 'LiI_d', 0) : 0.0 : Vopex_process[HO2,LiI_d,0] + 0*P_location_material_m[HO2,LiI_d,Dummy,0] : 0.0 : True\n", - " ('HO2', 'PV', 0) : 0.0 : Vopex_process[HO2,PV,0] - (4953*P_location_material_m[HO2,PV,Mo,0] + 4953*P_location_material_m[HO2,PV,Po,0]) : 0.0 : True\n", - " ('HO2', 'WF', 0) : 0.0 : Vopex_process[HO2,WF,0] - (0*P_location_material_m[HO2,WF,WF_L,0] + 0*P_location_material_m[HO2,WF,WF_O,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost2.constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 112.5,\n", - " ('HO', 'LiI_d', 0): 112.5,\n", - " ('HO', 'PV', 0): 402.5,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 121, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['P_location']" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 112.5,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 112.5,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 402.5,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 122, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['P_location_material_m']" - ] - }, - { - "cell_type": "code", - "execution_count": 123, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_location_production_material_mode_sum : total production at location\n", - " Size=4, Index=constraint_location_production_material_mode_sum_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'LiI', 0) : 0.0 : P_location[HO,LiI,0] - (P_location_material_m[HO,LiI,Brine,0] + P_location_material_m[HO,LiI,Rock,0]) : 0.0 : True\n", - " ('HO', 'LiI_d', 0) : 0.0 : P_location[HO,LiI_d,0] - P_location_material_m[HO,LiI_d,Dummy,0] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : P_location[HO,PV,0] - (P_location_material_m[HO,PV,Mo,0] + P_location_material_m[HO,PV,Po,0]) : 0.0 : True\n", - " ('HO', 'WF', 0) : 0.0 : P_location[HO,WF,0] - (P_location_material_m[HO,WF,WF_L,0] + P_location_material_m[HO,WF,WF_O,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_location_production_material_mode_sum.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 124, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine': {'LiB': 20}, 'Rock': {'LiR': 20}},\n", - " 'LiI_d': {'Dummy': {'LiB': 0}},\n", - " 'WF': {'WF_L': {'steel': 109.9, 'cast iron': 8.805, 'concrete': 398.7},\n", - " 'WF_O': {'steel': 249.605, 'cast iron': 8.7, 'concrete': 0}},\n", - " 'PV': {'Mo': {'glass': 70,\n", - " 'steel': 56,\n", - " 'concrete': 48,\n", - " 'aluminium': 19,\n", - " 'silicon': 7,\n", - " 'copper': 7},\n", - " 'Po': {'glass': 70,\n", - " 'steel': 56,\n", - " 'concrete': 48,\n", - " 'aluminium': 19,\n", - " 'silicon': 7,\n", - " 'copper': 7}}}" - ] - }, - "execution_count": 124, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_mode_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 125, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 225000.0,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 1993582.5,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 125, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO2', 'LiI2', 0): 225000.0,\n", - " ('HO2', 'LiI_d', 0): 0.0,\n", - " ('HO2', 'PV', 0): 1993582.5,\n", - " ('HO2', 'WF', 0): 0.0}" - ] - }, - "execution_count": 126, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost2.output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO2', 'LiI2', 'Dummy', 0): 0.0,\n", - " ('HO2', 'LiI2', 'Mo', 0): 0.0,\n", - " ('HO2', 'LiI2', 'Po', 0): 0.0,\n", - " ('HO2', 'LiI2', 'Rock', 0): 112.5,\n", - " ('HO2', 'LiI2', 'WF_L', 0): 0.0,\n", - " ('HO2', 'LiI2', 'WF_O', 0): 0.0,\n", - " ('HO2', 'LiI_d', 'Dummy', 0): 112.5,\n", - " ('HO2', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO2', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO2', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO2', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO2', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO2', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO2', 'PV', 'Mo', 0): 0.0,\n", - " ('HO2', 'PV', 'Po', 0): 236.24999999999997,\n", - " ('HO2', 'PV', 'Rock', 0): 0.0,\n", - " ('HO2', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO2', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO2', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO2', 'WF', 'Mo', 0): 0.0,\n", - " ('HO2', 'WF', 'Po', 0): 0.0,\n", - " ('HO2', 'WF', 'Rock', 0): 0.0,\n", - " ('HO2', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO2', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 127, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost2.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 112.5,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 112.5,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 236.24999999999997,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 128, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 112.5,\n", - " ('HO', 'LiI_d', 0): 112.5,\n", - " ('HO', 'PV', 0): 236.24999999999997,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 130, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 112.5,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 112.5,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 236.24999999999997,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 130, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 1.0,\n", - " ('HO', 'LiI', 'Rock', 0): -0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 1.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 1.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 131, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 6300000.0,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 220152338.51120996,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 132, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_material_mode']" - ] - }, - { - "cell_type": "code", - "execution_count": 133, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 6300000.0,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 220152338.51120996,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 133, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_material']" - ] - }, - { - "cell_type": "code", - "execution_count": 134, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 0.0,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 134, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 135, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'Solar', 0): 0.0, ('HO', 'Wind', 0): 0.0}" - ] - }, - "execution_count": 135, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_resource']" - ] - }, - { - "cell_type": "code", - "execution_count": 136, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "('HO', 'LiI', 'Brine', 'LiB', 0) 2250.0\n", - "('HO', 'PV', 'Po', 'aluminium', 0) 4488.749999999999\n", - "('HO', 'PV', 'Po', 'concrete', 0) 11339.999999999998\n", - "('HO', 'PV', 'Po', 'copper', 0) 1653.7499999999998\n", - "('HO', 'PV', 'Po', 'glass', 0) 16537.499999999996\n", - "('HO', 'PV', 'Po', 'silicon', 0) 1653.7499999999998\n", - "('HO', 'PV', 'Po', 'steel', 0) 13229.999999999998\n" - ] - } - ], - "source": [ - "for i in results_cost.output['material_mode_process'].keys():\n", - " if results_cost.output['material_mode_process'][i] > 0:\n", - " print(i, results_cost.output['material_mode_process'][i])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 137, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('LiB', 0): 2250.0,\n", - " ('LiR', 0): 0.0,\n", - " ('aluminium', 0): 4488.749999999999,\n", - " ('cast iron', 0): 0.0,\n", - " ('concrete', 0): 11339.999999999998,\n", - " ('copper', 0): 1653.7499999999998,\n", - " ('glass', 0): 16537.499999999996,\n", - " ('silicon', 0): 1653.7499999999998,\n", - " ('steel', 0): 13229.999999999998}" - ] - }, - "execution_count": 137, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['material_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 138, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 625 rows, 654 columns and 1448 nonzeros\n", - "Model fingerprint: 0x3ee3d282\n", - "Variable types: 642 continuous, 12 integer (12 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [9e+01, 1e+05]\n", - "Presolve removed 573 rows and 610 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 52 rows, 44 columns, 147 nonzeros\n", - "Variable types: 39 continuous, 5 integer (5 binary)\n", - "Found heuristic solution: objective 1.114413e+08\n", - "\n", - "Root relaxation: objective 1.063579e+08, 17 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.063579e+08 1.0636e+08 0.00% - 0s\n", - "\n", - "Explored 1 nodes (17 simplex iterations) in 0.02 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.06358e+08 1.11441e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.063579412866e+08, best bound 1.063579412866e+08, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_gwp = solve(scenario=scenario, instance=milp_gwp,\n", - " solver='gurobi', name=f\"results_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 139, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('LiB', 0): 2250.0,\n", - " ('LiR', 0): 0.0,\n", - " ('aluminium', 0): 0.0,\n", - " ('cast iron', 0): 2971.6875,\n", - " ('concrete', 0): 134561.25,\n", - " ('copper', 0): 0.0,\n", - " ('glass', 0): 0.0,\n", - " ('silicon', 0): 0.0,\n", - " ('steel', 0): 37091.25}" - ] - }, - "execution_count": 139, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_gwp.output['material_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 140, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 112.5,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 100000.0,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 0.0,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 337.5,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 140, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_gwp.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 141, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'Power', 0): 380.0}" - ] - }, - "execution_count": 141, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_location']" - ] - }, - { - "cell_type": "code", - "execution_count": 142, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 112.5,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 100000.0,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 0.0,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 337.5,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 142, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_gwp.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 143, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 112.5,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 112.5,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 236.24999999999997,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 143, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine': {'LiB': 20}, 'Rock': {'LiR': 20}},\n", - " 'LiI_d': {'Dummy': {'LiB': 0}},\n", - " 'WF': {'WF_L': {'steel': 109.9, 'cast iron': 8.805, 'concrete': 398.7},\n", - " 'WF_O': {'steel': 249.605, 'cast iron': 8.7, 'concrete': 0}},\n", - " 'PV': {'Mo': {'glass': 70,\n", - " 'steel': 56,\n", - " 'concrete': 48,\n", - " 'aluminium': 19,\n", - " 'silicon': 7,\n", - " 'copper': 7},\n", - " 'Po': {'glass': 70,\n", - " 'steel': 56,\n", - " 'concrete': 48,\n", - " 'aluminium': 19,\n", - " 'silicon': 7,\n", - " 'copper': 7}}}" - ] - }, - "execution_count": 144, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_mode_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'HO': {'steel': 2121.152427,\n", - " 'copper': 8660.4,\n", - " 'cast iron': 1759.710573,\n", - " 'aluminium': 16707.0,\n", - " 'concrete': 120.0378,\n", - " 'LiR': 9600,\n", - " 'glass': 1118.5,\n", - " 'LiB': 2800,\n", - " 'silicon': 50137.8}}" - ] - }, - "execution_count": 145, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.material_gwp_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.schedule(results=results_cost, y_axis='Inv',\n", - "# component='LiIPower', location='HO')" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on function schedule in module energiapy.plot.plot_results:\n", - "\n", - "schedule(results: energiapy.components.result.Result, y_axis: str, component: str, location: str, fig_size: tuple = (12, 6), font_size: int = 16, color: str = 'blue', usetex: bool = False)\n", - " generates a plot for scheduling result\n", - " \n", - " Args:\n", - " result (dict): dictionary that can be taken from result object\n", - " y_axis (str): the y-axis, can be production (P), inventory (I), sales (S), consumption (C)\n", - " component (str): resource or process name\n", - " location (str): location name\n", - " font_size (int, optional): font size. Defaults to 16.\n", - " fig_size (tuple, optional): figure size. Defaults to (12,6).\n", - " color (str, optional): color of plot. Defaults to 'blue'.\n", - " usetex (bool, optional): False, if using latex font, need Tex set up (prone to errors). Defaults to 'False'.\n", - " \n", - " Examples:\n", - " For production the component has to be a process. For the rest use the appropriate resource\n", - " \n", - " Note that results plotting requires the string names to be provided as opposed to energiapy objects\n", - " \n", - " >>> plot.schedule(results= results, component='Power', y_axis= 'S', location= 'Goa')\n", - " \n", - " >>> plot.schedule(results= results, component='PV', y_axis= 'P', location= 'Goa')\n", - "\n" - ] - } - ], - "source": [ - "help(plot_results.schedule)" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on function demand_factor in module energiapy.plot.plot_scenario:\n", - "\n", - "demand_factor(scenario: energiapy.components.scenario.Scenario, resource: energiapy.components.resource.Resource, location: energiapy.components.location.Location, fig_size: tuple = (12, 6), font_size: int = 16, color: str = 'blue', usetex: bool = False)\n", - " generates a plot for varying demand factor of resource\n", - " \n", - " Args:\n", - " scenario (Scenario): scenario energiapy object\n", - " resource (Resource): resource energiapy object\n", - " location (Location): location energiapy object\n", - " font_size (int, optional): font size. Defaults to 16.\n", - " fig_size (tuple, optional): figure size. Defaults to (12,6).\n", - " color (str, optional): color of plot. Defaults to 'blue'.\n", - " usetex (bool, optional): False, if using latex font, need Tex set up (prone to errors). Defaults to 'False'.\n", - "\n" - ] - } - ], - "source": [ - "help(plot_scenario.demand_factor)" - ] - }, - { - "cell_type": "code", - "execution_count": 149, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.demand_factor(scenario= scenario, resource=Power, location=houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 150, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost,y_axis='S', component='Power', location='HO' )" - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_demand : specific demand for resources\n", - " Size=4, Index=constraint_demand_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'Power', 0, 0) : 90.0 : S[HO,Power,0,0] : +Inf : True\n", - " ('HO', 'Power', 0, 1) : 90.0 : S[HO,Power,0,1] : +Inf : True\n", - " ('HO', 'Power', 0, 2) : 100.0 : S[HO,Power,0,2] : +Inf : True\n", - " ('HO', 'Power', 0, 3) : 100.0 : S[HO,Power,0,3] : +Inf : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_demand.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{HO: {Power: 100}}" - ] - }, - "execution_count": 152, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.demand" - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'HO': {'Power': {(0, 0): 0.9, (0, 1): 0.9, (0, 2): 1.0, (0, 3): 1.0}}}" - ] - }, - "execution_count": 153, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.demand_factor" - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'HO': {'PV': {(0, 0): 0.8571428571428572,\n", - " (0, 1): 0.0,\n", - " (0, 2): 0.5714285714285715,\n", - " (0, 3): 1.0},\n", - " 'WF': {(0, 0): 0.6, (0, 1): 0.0, (0, 2): 1.0, (0, 3): 0.4}}}" - ] - }, - "execution_count": 154, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.capacity_factor" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 112.5,\n", - " ('HO', 'LiI_d', 0): 112.5,\n", - " ('HO', 'PV', 0): 236.24999999999997,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 155, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 156, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "138.834" - ] - }, - "execution_count": 156, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "162*0.857" - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0, 0): 112.5,\n", - " ('HO', 'LiI', 0, 1): 0.0,\n", - " ('HO', 'LiI', 0, 2): 0.0,\n", - " ('HO', 'LiI', 0, 3): 0.0,\n", - " ('HO', 'LiI_d', 0, 0): 0.0,\n", - " ('HO', 'LiI_d', 0, 1): 112.5,\n", - " ('HO', 'LiI_d', 0, 2): 0.0,\n", - " ('HO', 'LiI_d', 0, 3): 0.0,\n", - " ('HO', 'PV', 0, 0): 202.5,\n", - " ('HO', 'PV', 0, 1): 0.0,\n", - " ('HO', 'PV', 0, 2): 100.0,\n", - " ('HO', 'PV', 0, 3): 100.0,\n", - " ('HO', 'WF', 0, 0): 0.0,\n", - " ('HO', 'WF', 0, 1): 0.0,\n", - " ('HO', 'WF', 0, 2): 0.0,\n", - " ('HO', 'WF', 0, 3): 0.0}" - ] - }, - "execution_count": 157, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['P']" - ] - }, - { - "cell_type": "code", - "execution_count": 158, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(11, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 146495475.0,\n", - " ('HO', 'LiI_d', 0): 11.25,\n", - " ('HO', 'PV', 0): 236249999.99999997,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 159, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 160, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 146495475.0,\n", - " ('HO', 'LiI_d', 0): 10000.0,\n", - " ('HO', 'PV', 0): 0.0,\n", - " ('HO', 'WF', 0): 506587500.0}" - ] - }, - "execution_count": 160, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_gwp.output['Capex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 161, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 112.5,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 112.5,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 236.24999999999997,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 161, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 162, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 6300000.0,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 220152338.51120996,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 162, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_material']" - ] - }, - { - "cell_type": "code", - "execution_count": 163, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 1.0,\n", - " ('HO', 'LiI', 'Rock', 0): -0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 1.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 1.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 163, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 164, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 6300000.0,\n", - " ('HO', 'LiI', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI', 'Po', 0): 0.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI', 'WF_O', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Brine', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Mo', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Po', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_L', 0): 0.0,\n", - " ('HO', 'LiI_d', 'WF_O', 0): 0.0,\n", - " ('HO', 'PV', 'Brine', 0): 0.0,\n", - " ('HO', 'PV', 'Dummy', 0): 0.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 220152338.51120996,\n", - " ('HO', 'PV', 'Rock', 0): 0.0,\n", - " ('HO', 'PV', 'WF_L', 0): 0.0,\n", - " ('HO', 'PV', 'WF_O', 0): 0.0,\n", - " ('HO', 'WF', 'Brine', 0): 0.0,\n", - " ('HO', 'WF', 'Dummy', 0): 0.0,\n", - " ('HO', 'WF', 'Mo', 0): 0.0,\n", - " ('HO', 'WF', 'Po', 0): 0.0,\n", - " ('HO', 'WF', 'Rock', 0): 0.0,\n", - " ('HO', 'WF', 'WF_L', 0): 0.0,\n", - " ('HO', 'WF', 'WF_O', 0): 0.0}" - ] - }, - "execution_count": 164, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_material_mode']" - ] - }, - { - "cell_type": "code", - "execution_count": 165, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_global_warming_potential_material_mode : global warming potential for the each material\n", - " Size=7, Index=constraint_global_warming_potential_material_mode_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'LiI', 'Brine', 0) : 0.0 : global_warming_potential_material_mode[HO,LiI,Brine,0] - 56000*Cap_P_M[HO,LiI,Brine,0] : 0.0 : True\n", - " ('HO', 'LiI', 'Rock', 0) : 0.0 : global_warming_potential_material_mode[HO,LiI,Rock,0] - 192000*Cap_P_M[HO,LiI,Rock,0] : 0.0 : True\n", - " ('HO', 'LiI_d', 'Dummy', 0) : 0.0 : global_warming_potential_material_mode[HO,LiI_d,Dummy,0] + 0*Cap_P_M[HO,LiI_d,Dummy,0] : 0.0 : True\n", - " ('HO', 'PV', 'Mo', 0) : 0.0 : global_warming_potential_material_mode[HO,PV,Mo,0] - 931861.7503119999*Cap_P_M[HO,PV,Mo,0] : 0.0 : True\n", - " ('HO', 'PV', 'Po', 0) : 0.0 : global_warming_potential_material_mode[HO,PV,Po,0] - 931861.7503119999*Cap_P_M[HO,PV,Po,0] : 0.0 : True\n", - " ('HO', 'WF', 'WF_L', 0) : 0.0 : global_warming_potential_material_mode[HO,WF,WF_L,0] - 296467.974182565*Cap_P_M[HO,WF,WF_L,0] : 0.0 : True\n", - " ('HO', 'WF', 'WF_O', 0) : 0.0 : global_warming_potential_material_mode[HO,WF,WF_O,0] - 544759.733526435*Cap_P_M[HO,WF,WF_O,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_global_warming_potential_material_mode.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 166, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'HO': {'steel': 2121.152427,\n", - " 'copper': 8660.4,\n", - " 'cast iron': 1759.710573,\n", - " 'aluminium': 16707.0,\n", - " 'concrete': 120.0378,\n", - " 'LiR': 9600,\n", - " 'glass': 1118.5,\n", - " 'LiB': 2800,\n", - " 'silicon': 50137.8}}" - ] - }, - "execution_count": 166, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.material_gwp_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 167, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 1.0,\n", - " ('HO', 'LiI_d', 0): 1.0,\n", - " ('HO', 'PV', 0): 1.0,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 167, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 168, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'LiB', 0): 2250.0,\n", - " ('HO', 'LiI', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI', 'aluminium', 0): 0.0,\n", - " ('HO', 'LiI', 'cast iron', 0): 0.0,\n", - " ('HO', 'LiI', 'concrete', 0): 0.0,\n", - " ('HO', 'LiI', 'copper', 0): 0.0,\n", - " ('HO', 'LiI', 'glass', 0): 0.0,\n", - " ('HO', 'LiI', 'silicon', 0): 0.0,\n", - " ('HO', 'LiI', 'steel', 0): 0.0,\n", - " ('HO', 'LiI_d', 'LiB', 0): 0.0,\n", - " ('HO', 'LiI_d', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI_d', 'aluminium', 0): 0.0,\n", - " ('HO', 'LiI_d', 'cast iron', 0): 0.0,\n", - " ('HO', 'LiI_d', 'concrete', 0): 0.0,\n", - " ('HO', 'LiI_d', 'copper', 0): 0.0,\n", - " ('HO', 'LiI_d', 'glass', 0): 0.0,\n", - " ('HO', 'LiI_d', 'silicon', 0): 0.0,\n", - " ('HO', 'LiI_d', 'steel', 0): 0.0,\n", - " ('HO', 'PV', 'LiB', 0): 0.0,\n", - " ('HO', 'PV', 'LiR', 0): 0.0,\n", - " ('HO', 'PV', 'aluminium', 0): 4488.749999999999,\n", - " ('HO', 'PV', 'cast iron', 0): 0.0,\n", - " ('HO', 'PV', 'concrete', 0): 11339.999999999998,\n", - " ('HO', 'PV', 'copper', 0): 1653.7499999999998,\n", - " ('HO', 'PV', 'glass', 0): 16537.499999999996,\n", - " ('HO', 'PV', 'silicon', 0): 1653.7499999999998,\n", - " ('HO', 'PV', 'steel', 0): 13229.999999999998,\n", - " ('HO', 'WF', 'LiB', 0): 0.0,\n", - " ('HO', 'WF', 'LiR', 0): 0.0,\n", - " ('HO', 'WF', 'aluminium', 0): 0.0,\n", - " ('HO', 'WF', 'cast iron', 0): 0.0,\n", - " ('HO', 'WF', 'concrete', 0): 0.0,\n", - " ('HO', 'WF', 'copper', 0): 0.0,\n", - " ('HO', 'WF', 'glass', 0): 0.0,\n", - " ('HO', 'WF', 'silicon', 0): 0.0,\n", - " ('HO', 'WF', 'steel', 0): 0.0}" - ] - }, - "execution_count": 168, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['material_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 169, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{None: 433614586930.2}" - ] - }, - "execution_count": 169, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_demand.output['Cost']" - ] - }, - { - "cell_type": "code", - "execution_count": 170, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "390417572.5" - ] - }, - "execution_count": 170, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 171, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 146495475.0,\n", - " ('HO', 'LiI_d', 0): 11.25,\n", - " ('HO', 'PV', 0): 236249999.99999997,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 171, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 172, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 0.0,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 172, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_process']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 173, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 6300000.0,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 220152338.51120996,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 173, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_material']" - ] - }, - { - "cell_type": "code", - "execution_count": 174, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'Solar', 0): 0.0, ('HO', 'Wind', 0): 0.0}" - ] - }, - "execution_count": 174, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_resource']" - ] - }, - { - "cell_type": "code", - "execution_count": 175, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "P_material_m : Production in material modes\n", - " Size=112, Index=P_material_m_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('HO', 'LiI', 'Brine', 0, 0) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Brine', 0, 1) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Brine', 0, 2) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Brine', 0, 3) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_L', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_L', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_L', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_L', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_O', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_O', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_O', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI', 'WF_O', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 0, 0) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 0, 1) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 0, 2) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 0, 3) : 0 : 28.125 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_L', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_L', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_L', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_L', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_O', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_O', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_O', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'LiI_d', 'WF_O', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 0, 0) : 0 : 202.5 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 0, 2) : 0 : 135.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 0, 3) : 0 : 65.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_L', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_L', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_L', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_L', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_O', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_O', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_O', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'PV', 'WF_O', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Brine', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Brine', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Brine', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Brine', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Dummy', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Dummy', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Dummy', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Dummy', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Mo', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Mo', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Mo', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Mo', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Po', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Po', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Po', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Po', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Rock', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Rock', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Rock', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'Rock', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_L', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_L', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_L', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_L', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_O', 0, 0) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_O', 0, 1) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_O', 0, 2) : 0 : 0.0 : None : False : True : NonNegativeReals\n", - " ('HO', 'WF', 'WF_O', 0, 3) : 0 : 0.0 : None : False : True : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp_cost.P_material_m.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Gabu", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/material/material.ipynb b/examples/material/material.ipynb deleted file mode 100644 index 6d826e4b..00000000 --- a/examples/material/material.ipynb +++ /dev/null @@ -1,1447 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multiscale Energy Systems MILP with Material and Emission Consideration" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar, Yilun Lin\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Yilun Lin\", Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three different type of solar photovoltaics, namely Monocrystalline (PV_Mo), Polycrystalline (PV_Po), and Cadmium Telluride (PV_Cd) and Lithium-ion batteries made of either rock-based lithium (LiI_Ro) or brine-based lithium (LiI_Br).\n", - "\n", - "The goal is to meet a varying demand for power through renewable power generation using the PVs and Lithium-ion batteries for energy storage.\n", - "\n", - "Notably, the different PVs also have different conversion efficiences, as also operational expenditure. Emissions need to be tracked from all components, i.e. resource consumption, materials for establishing processs, emissions from setting up the process. \n", - "\n", - "Total emissions will atleast include the sum of the emissions from different components (at the network level) and as direct emissions from process (at the scheduling level)\n", - "\n", - "Users are advised caution in terms of assigning the emissions at the appropriate levels and avoiding double account. For example, if providing the global warming potentials (GWP) for each individual material to make up a process, the GWP for processes should only consider the values for construction. Moreover, the direct emissions are considered through the resource balance constraint." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "$\\mathcal{M}$ - set of materials m\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Mat^P_{l,p,m,t}$ - material m $\\in$ $\\mathcal{M}$ used by process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Em^{p/r/m}_{l,p/r/m,t}$ - emission from process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor\n", - "\n", - "$Mat^{cons}_{p,m}$ - material m $\\in$ $\\mathcal{M}$ consumed by process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$GWP^{p/r/m}_{l,p/r/m,t}$ - global warming indicators for process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a mulit-scale modeling and optimization MILP framework for the simultaneous design and schedule planning of a single location energy system \n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} (\\alpha \\times Capex_{l,p,t} + Fopex_{l,p,t}) \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Mat_{l,p,m,t} = Mat^{cons}_{p,m} \\times Cap^P_{l,p,t} \\hspace{1cm} \\forall m \\in \\mathcal{M}, p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{r}_{l,r,t} = GWP^{r}_{l,r,t} \\times C_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{m}_{l,m,t} = GWP^{m}_{l,m,t} \\times \\sum_{p \\in \\mathcal{P}} Mat_{l,p,m,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{p}_{l,p,t} = GWP^{p}_{l,p,t} \\times Cap_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Mat_{l,p,m,t}, Em^{p/r/m}_{l,p/r/m,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from itertools import product\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# def load_data(loc: str, index: list):\n", - "# df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - "# df['idx'] = index\n", - "# df = df.set_index('idx')\n", - "# return df\n", - "# idx = [(i, j, k) for i, j, k in product(range(1), range(365), range(24))]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_ho = load_data('ho', idx)[['dni']]" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**No solar for first 13 hours with non-zero demand fix**" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# for i in range(13):\n", - "# weather_ho['dni'][0, 0, i] = 0.5" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# demand_ho = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "# demand_ho = demand_ho.set_index(weather_ho.index)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "demand_factor = pandas.DataFrame(data={'Power': [0.6, 0.7, 0.8, 0.3]})\n", - "revenue_factor = pandas.DataFrame(data={'Power': [0.8, 0.9, 0.94, 0.96]})\n", - "capacity_factor_pv = pandas.DataFrame(data={'PV': [0.6, 0.2, 0.9, 0.7]})\n", - "capacity_factor_wf = pandas.DataFrame(data={'WF': [0.9, 0.8, 0.5, 0.7]})" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 4])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold).\n", - "\n", - "Power demand follows a varying deterministic demand" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power', price= 0.01)\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand=True,\n", - " label='Power generated', varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "LiIPower = Resource(name='LiIPower', basis='MW',\n", - " store_max=bigM, label='Power stored')\n", - "\n", - "H2O = Resource(name='H2O', cons_max=10**10,\n", - " price=0.001, basis='kg', label='Water', block='Resource')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Materials" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Materials are utilized for the establishment of processes. Materials inturn require resources to be set up. " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "LiR = Material(name='LiR', gwp=1.484, resource_cons={H2O: 2273}, toxicity=793, basis='kg', label='Rock-based Lithium',\n", - " citation='Nelson Bunyui Manjong (2021), httoxicitys://www.tcc.fl.edu/media/divisions/academic-affairs/academic-enrichment/urc/poster-abstracts/Xanders_Madison_Poster_URS.pdf') # gwp=(0.216,0.314)\n", - "LiB = Material(name='LiB', gwp=0.031, toxicity=793, basis='kg', label='Brine-based Lithium',\n", - " citation='Nelson Bunyui Manjong (2021)') \n", - "\n", - "Monocrystalline = Material(name='Mc', gwp=20, resource_cons={H2O: 1.5}, toxicity=40.74, basis='kg', label='Mono',\n", - " citation='Environmental impact assessment of monocrystalline silicon solar photovoltaic cell production: a case study in China (toxicity)')\n", - "Polycrystalline = Material(name='Pc', gwp=26, resource_cons={\n", - " H2O: 1}, toxicity=15, basis='kg', label='Poly', citation='Environmental Economic Impact Assessments of a ... - MDPI (gwp and toxicity)')\n", - "CdTE = Material(name='CdTe', gwp=40, resource_cons={H2O: 0.25}, toxicity=5, basis='kg', label='C',\n", - " citation='Investigation of life cycle CO2 emissions of the polycrystalline and cadmium telluride PV panels')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Processes" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', conversion= {'Brine': {Power: -1, LiIPower: 1}, 'Rock': {Power: -1, LiIPower: 1}}, material_cons={'Brine': {LiB: 20}, 'Rock': {LiR: 20}}, capex={'Brine': 1302182, 'Rock': 1302182}, \n", - " fopex={'Brine': 41432, 'Rock':41432}, vopex={'Brine': 2000, 'Rock': 2000}, prod_min=smallM, prod_max=bigM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "LiI_discharge = Process(name='LiI_d', conversion={'Dummy': {Power: 0.8, LiIPower: -1}}, capex={'Dummy': 0.1}, material_cons={'Dummy': {LiB: 0}},\n", - " fopex={'Dummy': 0.1}, vopex={'Dummy': 0}, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={'Mo':{Solar: -5, Power: 1}, 'Po': {Solar: -6.67, Power: 1}, 'Cd': {Solar: -5, Power: 1}}, \n", - " capex= {'Mo': 990637, 'Po': 990637, 'Cd': 567000}, fopex= {'Mo': 3354, 'Po': 3354, 'Cd': 8720}, vopex= {'Mo': 4953, 'Po': 4953, 'Cd': 900}\n", - " , material_cons={'Mo': {Monocrystalline: 0.4}, 'Po': {Polycrystalline: 0.36}, 'Cd': {CdTE: 0.02}},\n", - " prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# LiI_Br = Process(name='LiI_Br', storage=Power, material_cons={\n", - "# LiB: 20}, capex=1302182, fopex=41432, vopex=2000, prod_min=smallM, prod_max=bigM, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "# LiI_Ro = Process(name='LiI_Ro', storage=Power, material_cons={\n", - "# LiR: 20}, capex=1302182, fopex=41432, vopex=2000, prod_min=smallM, prod_max=bigM, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "# PV_Mo = Process(name='PV_Mo', conversion={Solar: -5, Power: 1}, capex=990637, fopex=3354, vopex=4953, material_cons={Monocrystalline: 0.4},\n", - "# prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "# PV_Po = Process(name='PV_Po', conversion={Solar: -6.67, Power: 1}, capex=990637, fopex=3354, vopex=4953, material_cons={Polycrystalline: 0.36},\n", - "# prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "# PV_Cd = Process(name='PV_Cd', conversion={Solar: -3.33, Power: 1}, capex=567000, fopex=8720, vopex=9000, material_cons={CdTE: 0.02},\n", - "# prod_min=smallM, prod_max=bigM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "# Grid = Process(name='Grid', conversion={GridPower: -1, Power: 1}, capex=0,\n", - "# fopex=0, vopex=10000000, prod_min=smallM, prod_max=bigM, label='Grid', basis='MW')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Location" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes={LiI, PV, LiI_discharge}, capacity_factor={PV: capacity_factor_pv},\n", - " demand_factor={Power: demand_factor}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level=1, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=1,\n", - " network_scale_level=0, demand_scale_level=1, capacity_scale_level = 1, label='full_case', demand={houston: {Power: 180}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine': {'LiB': 20}, 'Rock': {'LiR': 20}},\n", - " 'LiI_d': {'Dummy': {'LiB': 0}},\n", - " 'PV': {'Mo': {'Mc': 0.4}, 'Po': {'Pc': 0.36}, 'Cd': {'CdTe': 0.02}}}" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_mode_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine': {'LiB': 20}, 'Rock': {'LiR': 20}},\n", - " 'LiI_d': {'Dummy': {'LiB': 0}},\n", - " 'PV': {'Mo': {'Mc': 0.4}, 'Po': {'Pc': 0.36}, 'Cd': {'CdTe': 0.02}}}" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_mode_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_scenario.capacity_factor(\n", - "# scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n", - "# plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Formulate MILP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we formulate two milps which differ only in their objectives.\n", - "\n", - "For maximizing the discharge of a particular resource, use the objective MAX_DISCHARGE, the objective resource also needs to be specified.\n", - "\n", - "Similarly the discharge can also be minimized using MIN_DISCHARGE. This can be used with a demand for another resource being set. For example, minimizing the discharge of carbon dioxide while meeting a hydrogen demand.\n", - "\n", - "The second MILP, minimized the cost while meeting a varying demand for power" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to maximize resource discharge" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint global warming potential material mode\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint production facility material mode\n", - "constraint production facility material mode binary\n", - "constraint production facility material\n", - "constraint min production facility material\n", - "constraint material mode process\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "\n", - "milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL}, objective=Objective.MAX_DISCHARGE, write_lpfile=True, objective_resource=Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine': {'LiB': 20}, 'Rock': {'LiR': 20}},\n", - " 'LiI_d': {'Dummy': {'LiB': 0}},\n", - " 'PV': {'Mo': {'Mc': 0.4}, 'Po': {'Pc': 0.36}, 'Cd': {'CdTe': 0.02}}}" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_mode_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine': {'LiB': 20}, 'Rock': {'LiR': 20}},\n", - " 'LiI_d': {'Dummy': {'LiB': 0}},\n", - " 'PV': {'Mo': {'Mc': 0.4}, 'Po': {'Pc': 0.36}, 'Cd': {'CdTe': 0.02}}}" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_mode_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "# results_demand = solve(scenario=scenario, instance=milp_demand,\n", - "# solver='XPRESS', interface= 'gams', name=\"results_demand\", print_solversteps=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint global warming potential material\n", - "constraint global warming potential material mode\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint material process\n", - "constraint material location\n", - "constraint material network\n", - "constraint production facility material mode\n", - "constraint production facility material mode binary\n", - "constraint production facility material\n", - "constraint min production facility material\n", - "constraint material mode process\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - " Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION, Constraints.MATERIAL, Constraints.DEMAND}, objective=Objective.COST)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to minimize cost" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 248 rows, 259 columns and 580 nonzeros\n", - "Model fingerprint: 0x0c62d0f1\n", - "Variable types: 249 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 3e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [7e+01, 1e+05]\n", - "Presolve removed 217 rows and 235 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 31 rows, 24 columns, 82 nonzeros\n", - "Variable types: 19 continuous, 5 integer (5 binary)\n", - "Found heuristic solution: objective 1.849731e+09\n", - "\n", - "Root relaxation: objective 1.174071e+09, 15 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.1741e+09 0 2 1.8497e+09 1.1741e+09 36.5% - 0s\n", - "H 0 0 1.174071e+09 1.1741e+09 0.00% - 0s\n", - " 0 0 1.1741e+09 0 2 1.1741e+09 1.1741e+09 0.00% - 0s\n", - "\n", - "Explored 1 nodes (15 simplex iterations) in 0.02 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.17407e+09 1.84973e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.174071117110e+09, best bound 1.174071117110e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost,\n", - " solver='gurobi', name=f\"results_cost\", print_solversteps=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI', 'LiB', 0): 1985.294117647059,\n", - " ('HO', 'LiI', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI', 'Pc', 0): 0.0,\n", - " ('HO', 'LiI_d', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI_d', 'LiB', 0): 0.0,\n", - " ('HO', 'LiI_d', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Pc', 0): 0.0,\n", - " ('HO', 'PV', 'CdTe', 0): 7.0279411764705895,\n", - " ('HO', 'PV', 'LiB', 0): 0.0,\n", - " ('HO', 'PV', 'LiR', 0): 0.0,\n", - " ('HO', 'PV', 'Mc', 0): 0.0,\n", - " ('HO', 'PV', 'Pc', 0): 0.0}" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['material_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "('HO', 'LiI', 'Brine', 'LiB', 0) 1985.294117647059\n", - "('HO', 'PV', 'Cd', 'CdTe', 0) 7.0279411764705895\n" - ] - } - ], - "source": [ - "for i in results_cost.output['material_mode_process'].keys():\n", - " if results_cost.output['material_mode_process'][i] >0:\n", - " print(i, results_cost.output['material_mode_process'][i])" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 99.26470588235296,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 99.26470588235296,\n", - " ('HO', 'PV', 'Cd', 0): 351.39705882352945,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 0.0}" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'Brine', 0): 1.0,\n", - " ('HO', 'LiI', 'Rock', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Dummy', 0): 1.0,\n", - " ('HO', 'PV', 'Cd', 0): 1.0,\n", - " ('HO', 'PV', 'Mo', 0): 0.0,\n", - " ('HO', 'PV', 'Po', 0): 0.0}" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_M']" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "material_mode_process : materials utilized in material mode for each process\n", - " Size=90, Index=material_mode_process_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('HO', 'LiI', 'Brine', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Brine', 'LiB', 0) : 0 : 1985.294117647059 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Brine', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Brine', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Brine', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Cd', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Cd', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Cd', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Cd', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Cd', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Dummy', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Mo', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Po', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI', 'Rock', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Brine', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Cd', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Cd', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Cd', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Cd', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Cd', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Dummy', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Mo', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Po', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'LiI_d', 'Rock', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Brine', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Cd', 'CdTe', 0) : 0 : 7.0279411764705895 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Cd', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Cd', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Cd', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Cd', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Dummy', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Mo', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Po', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 'CdTe', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 'LiB', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 'LiR', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 'Mc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('HO', 'PV', 'Rock', 'Pc', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp_cost.material_mode_process.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'Brine': {'LiB': 20}, 'Rock': {'LiR': 20}},\n", - " 'LiI_d': {'Dummy': {'LiB': 0}},\n", - " 'PV': {'Mo': {'Mc': 0.4}, 'Po': {'Pc': 0.36}, 'Cd': {'CdTe': 0.02}}}" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "{i.name: {j:{l.name: m for l,m in k.items() } for j,k in i.material_cons.items()} for i in scenario.process_set}" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'CdTe': 0, 'LiB': 0, 'Pc': 0, 'LiR': 0, 'Mc': 0},\n", - " 'LiI_d': {'CdTe': 0, 'LiB': 0, 'Pc': 0, 'LiR': 0, 'Mc': 0},\n", - " 'PV': {'CdTe': 0, 'LiB': 0, 'Pc': 0, 'LiR': 0, 'Mc': 0}}" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 397058.8235294118,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 6049770.88235294}" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_production_facility_material_mode_binary : capacity of process under different material modes\n", - " Size=3, Index=constraint_production_facility_material_mode_binary_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'LiI', 0) : 0.0 : X_M[HO,LiI,Brine,0] + X_M[HO,LiI,Rock,0] - X_P[HO,LiI,0] : 0.0 : True\n", - " ('HO', 'LiI_d', 0) : 0.0 : X_M[HO,LiI_d,Dummy,0] - X_P[HO,LiI_d,0] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : X_M[HO,PV,Cd,0] + X_M[HO,PV,Mo,0] + X_M[HO,PV,Po,0] - X_P[HO,PV,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_production_facility_material_mode_binary.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_capex : capex for process\n", - " Size=3, Index=constraint_process_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'LiI', 0) : 0.0 : Capex_process[HO,LiI,0] - (1302182*Cap_P[HO,LiI,0] + 1302182*Cap_P[HO,LiI,0]) : 0.0 : True\n", - " ('HO', 'LiI_d', 0) : 0.0 : Capex_process[HO,LiI_d,0] - 0.1*Cap_P[HO,LiI_d,0] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : Capex_process[HO,PV,0] - (567000*Cap_P[HO,PV,0] + 990637*Cap_P[HO,PV,0] + 990637*Cap_P[HO,PV,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_process_capex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='Inv',\n", - " component='LiIPower', location='HO')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(11, 6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 99.26470588235296,\n", - " ('HO', 'LiI_d', 0): 99.26470588235296,\n", - " ('HO', 'PV', 0): 351.39705882352945}" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 61.54411764705883,\n", - " ('HO', 'LiI_d', 0): 0.0,\n", - " ('HO', 'PV', 0): 281.1176470588236}" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_material']" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 0.0, ('HO', 'LiI_d', 0): 0.0, ('HO', 'PV', 0): 0.0}" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['global_warming_potential_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 1.0, ('HO', 'LiI_d', 0): 1.0, ('HO', 'PV', 0): 1.0}" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'HO': {'LiI': 0, 'LiI_d': 0, 'PV': 0}}" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_gwp_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'HO': {'CdTe': 40, 'LiB': 0.031, 'Pc': 26, 'LiR': 1.484, 'Mc': 20}}" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.material_gwp_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI': {'CdTe': 0, 'LiB': 0, 'Pc': 0, 'LiR': 0, 'Mc': 0},\n", - " 'LiI_d': {'CdTe': 0, 'LiB': 0, 'Pc': 0, 'LiR': 0, 'Mc': 0},\n", - " 'PV': {'CdTe': 0, 'LiB': 0, 'Pc': 0, 'LiR': 0, 'Mc': 0}}" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_material_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI', 'LiB', 0): 1985.294117647059,\n", - " ('HO', 'LiI', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI', 'Pc', 0): 0.0,\n", - " ('HO', 'LiI_d', 'CdTe', 0): 0.0,\n", - " ('HO', 'LiI_d', 'LiB', 0): 0.0,\n", - " ('HO', 'LiI_d', 'LiR', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Mc', 0): 0.0,\n", - " ('HO', 'LiI_d', 'Pc', 0): 0.0,\n", - " ('HO', 'PV', 'CdTe', 0): 7.0279411764705895,\n", - " ('HO', 'PV', 'LiB', 0): 0.0,\n", - " ('HO', 'PV', 'LiR', 0): 0.0,\n", - " ('HO', 'PV', 'Mc', 0): 0.0,\n", - " ('HO', 'PV', 'Pc', 0): 0.0}" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['material_process']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/material/material_yilun.ipynb b/examples/material/material_yilun.ipynb deleted file mode 100644 index 787a4e84..00000000 --- a/examples/material/material_yilun.ipynb +++ /dev/null @@ -1,1165 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# A multiscale modeling and optimization framework for the design of energy systems with embedded life cycle considerations\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Yilun Lin\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Yilun Lin\", \"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## In the model, there are a multitude of options for:\n", - "\n", - "**power generation**\n", - "\n", - "**energy storage**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import solar dni and wind speeds for Harris county**" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "weather20_df = pandas.read_csv('../data/ho_solar20.csv', index_col=0)\n", - "weather20_df.index = [i.split('+')[0] for i in weather20_df.index]\n", - "weather = weather20_df[~weather20_df.index.str.contains('02-29')] #remove leap years" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data from ERCOT**" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_15564\\1843758898.py:3: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " ercot['index'] = weather20_df.index\n" - ] - } - ], - "source": [ - "ercot20 = pandas.read_excel('../data/Native_Load_2020.xlsx')\n", - "ercot = ercot20[['COAST']]\n", - "ercot['index'] = weather20_df.index\n", - "ercot = ercot.set_index('index')\n", - "ercot = ercot[~ercot.index.str.contains('02-29')]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import natural gas prices from Henry Hub Price Index** " - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "#Actual temporal scale (daily)\n", - "ng_price20 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020, stretch=False)\n", - "ng_price_df = ng_price20\n", - "ng_price_df['index'] = [i for i in weather.index][::24]\n", - "ng_price_df = ng_price_df.drop(columns= 'scales')\n", - "ng_price = ng_price_df.set_index('index')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Define temporal scale}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24], start_zero= 2020)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare constants for ease}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**4 # very large number\n", - "smallM = 0.1\n", - "water_price = 31.70 # $/5000gallons\n", - "power_price = 8 # cents/kWh\n", - "ur_price = 42.70 # 250 Pfund U308 (Uranium)\n", - "A_f = 0.05 # annualization factor\n", - "# CO2_res = 0.2\n", - "pv_start = 0\n", - "ake_start = 0\n", - "smrh_start = 0\n", - "smr_start = 0\n", - "asmr_start = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare resources}$" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "Charge = Resource(name='Charge', sell=False,\n", - " store_max=100, basis='MW', label='Battery energy', block='energystorage')\n", - "\n", - "Solar = Resource(\n", - " name='Solar', cons_max=bigM, basis='MW', label='Solar Power', block='energyfeedstock')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power', block='energyfeedstock')\n", - "\n", - "H2O = Resource(name='H2O', cons_max=10**10, price=water_price/(5000*3.7854), basis='kg', label='Water', block='Resource')\n", - "\n", - "CO2 = Resource(name='CO2', basis='kg', label='Carbon dioxide', block='Resource')\n", - "\n", - "Power = Resource(name='Power', basis='MW', sell= True, demand = True, label='Renewable power generated', block='Resource')\n", - "\n", - "Mile = Resource(name = 'Mile', basis = 'miles', sell = True, demand = True, label = 'miles driven')\n", - "\n", - "H2_L = Resource(name='H2_L', store_max=10**10, revenue=2,\n", - " basis='kg', label='Hydrogen - Geological', block='resourcestorage')\n", - "\n", - "H2_C = Resource(name='H2_C', store_max= 10**10, loss=0.025/24, revenue=2,\n", - " basis='kg', label='Hydrogen - Local Cryo', block='resourcestorage')\n", - "# Geothermal_energy= Resource(name='Geothermal', store_max=10**10, sell=True, basis='MW', label='Geothermal Storage', block='resourcestorage')\n", - "# Biogas = Resource(name = 'Biogass', basis = 'kg', cons_max = 10**5, label = 'Biogas consumed from outside the system' )\n", - "# Biomass = Resource(name = 'Biomass', basis = 'kg', cons_max = 10**5, label = 'Biomass consumed from outside the system' )\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare Materials}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "LiR = Material(name='LiR', gwp=1.484, resource_cons = {H2O: 2273}, toxicity=793, basis= 'kg', label='Rock-based Lithium', \\\n", - " citation= 'Nelson Bunyui Manjong (2021), httoxicitys://www.tcc.fl.edu/media/divisions/academic-affairs/academic-enrichment/urc/poster-abstracts/Xanders_Madison_Poster_URS.pdf') #gwp=(0.216,0.314)\n", - "LiB = Material(name='LiB', gwp=0.031, toxicity=793, basis= 'kg', label='Brine-based Lithium', citation= 'Nelson Bunyui Manjong (2021)') #gwp=(0.289,0.499)\n", - "Ni = Material(name='Ni', gwp=7.64, resource_cons = {H2O: 80}, toxicity=67, basis= 'kg', label='Nickel', citation= 'Mark Mistry (2016), Sustainable water use in minerals and metal production')\n", - "Co = Material(name='Co', gwp=11.73, toxicity=325, basis= 'kg', label='Cobalt', citation= 'Farjana et al. 2019a, b')\n", - "# Steel = Material(name='Steel', gwp=(0.8,1.4), resource_cons = {H2O: 3.94}, toxicity=40, basis= 'kg', label='Steel', citation= 'Kim R.Bawden (2016), Anlong Li (2020)') #toxicity of iron instead\n", - "Steel = Material(name='Steel', gwp=0.8, resource_cons = {H2O: 3.94}, toxicity=40, basis= 'kg', label='Steel', citation= 'Kim R.Bawden (2016), Anlong Li (2020)') #toxicity of iron instead\n", - "Na = Material(name='Na', gwp=0.5, resource_cons = {H2O: 3}, toxicity=20, basis= 'kg', label='Sodium')\n", - "\n", - "# Fe = Material(name='Steel', gwp=(0.8,1.4), resource_cons = {H2O: 3.94}, toxicity=40, basis= 'kg', label='Iron', citation= 'Kim R.Bawden (2016), Anlong Li (2020)')\n", - "Fe = Material(name='Steel', gwp=0.8, resource_cons = {H2O: 3.94}, toxicity=40, basis= 'kg', label='Iron', citation= 'Kim R.Bawden (2016), Anlong Li (2020)')\n", - "CuP = Material(name='Cu', gwp=2.5, resource_cons = {H2O: 30}, toxicity=2500, basis= 'kg', label='Copper Pyro', citation= 'T.E. Norgate (2007), Sustainable water use in minerals and metal production')\n", - "CuH = Material(name='Cu', gwp=6, resource_cons = {H2O: 40}, toxicity=2500, basis= 'kg', label='Copper Hyro', citation= 'T.E. Norgate (2007), Sustainable water use in minerals and metal production')\n", - "PbB = Material(name='PbB', gwp=1.5, resource_cons = {H2O: 15}, toxicity=450, basis= 'kg', label='Lead BF', citation= 'T.E. Norgate (2007), Sustainable water use in minerals and metal production')\n", - "PbI = Material(name='PbI', gwp=2.5, resource_cons = {H2O: 25}, toxicity=450, basis= 'kg', label='Lead ISF', citation= 'T.E. Norgate (2007), Sustainable water use in minerals and metal production')\n", - "ZnE = Material(name='ZnE', gwp=5, resource_cons = {H2O: 30}, toxicity=57, basis= 'kg', label='Zn Elec', citation= 'T.E. Norgate (2007), Sustainable water use in minerals and metal production')\n", - "ZnI = Material(name='ZnI', gwp=3.5, resource_cons = {H2O: 25}, toxicity=57, basis= 'kg', label='Zn ISF', citation= 'T.E. Norgate (2007), Sustainable water use in minerals and metal production')\n", - "Pd = Material(name='Pd', gwp=3880, resource_cons = {H2O: 210713}, toxicity=3, basis= 'kg', label='Palladium', citation= 'Philip Nuss (2014), Simon Meißner (2021)')\n", - "Rd = Material(name='Rd', gwp=35100, toxicity=15, basis= 'kg', label='Rhodium', citation= 'Philip Nuss (2014)')\n", - "Pt = Material(name='Pd', gwp=12500, resource_cons = {H2O: 31349}, toxicity=5000, basis= 'kg', label='Platinum', citation= 'Philip Nuss (2014), Simon Meißner (2021)')\n", - "Y = Material(name='Y', gwp=15.1, toxicity=400, basis= 'kg', label='Yttrium', citation= 'Philip Nuss (2014)')\n", - "Al = Material(name='Al', gwp=8.2, resource_cons = {H2O: 147}, toxicity=3632, basis= 'kg', label='Aluminium', citation= 'Philip Nuss (2014), Water requirements of the aluminum industry Water Supply Paper 1330-C')\n", - "Mg = Material(name='Mg', gwp=9.6, toxicity=200, basis= 'kg', label='Magnesium', citation= 'Philip Nuss (2014)')\n", - "PP = Material(name='PP', gwp=1.586, basis= 'kg', label='Polypropylene', citation= 'Greenhouse gas emissions and natural capital implications of plastics (including biobased plastics)')\n", - "HDPE = Material(name='HDPE', gwp=1.98,toxicity=5000, basis= 'kg', label='HD polyethylene', citation= 'Greenhouse gas emissions and natural capital implications of plastics (including biobased plastics)')\n", - "LDPE = Material(name='LDPE', gwp=1.93, toxicity=2000, basis= 'kg', label='LD polyethylene', citation= 'Greenhouse gas emissions and natural capital implications of plastics (including biobased plastics)')\n", - "PVC = Material(name='PVC', gwp=2.51, basis= 'kg', label='Polyvinylchloride', citation= 'Greenhouse gas emissions and natural capital implications of plastics (including biobased plastics)')\n", - "Rubber = Material(name='Rubber', gwp=6.4, toxicity=330, basis= 'kg', label='Rubber', citation= 'GREENING OF INDUSTRY NETWORK (GIN) 2010: CLIMATE CHANGE AND GREEN GROWTH: INNOVATING FOR SUSTAINABILITY ')\n", - "PTFE = Material(name='PTFE', gwp=9.6, toxicity=11280, basis= 'kg', label='Poly tetra fluoroethylene', citation='httoxicitys://shamrocktechnologies.com/co2-emissions/')\n", - "# Epoxy = Material(name='Epoxy', gwp=(4.7, 8.1), toxicity=2000 , basis= 'kg', label='Epoxy resin', citation= 'Bricout et al. (2017)' )\n", - "Epoxy = Material(name='Epoxy', gwp=4.7, toxicity=2000 , basis= 'kg', label='Epoxy resin', citation= 'Bricout et al. (2017)' )\n", - "\n", - "Polyester = Material(name='Polyester', gwp=4.32, toxicity=2500, basis= 'kg', label='Polyester resin', citation= ' Rietveld and Hegger (2014)' )\n", - "Vinyl_easter = Material(name='vinyl ester', gwp=5.87, toxicity=1000, basis= 'kg', label='vinyl ester resin', citation= ' Rietveld and Hegger (2014) ' ) #Assume toxicity\n", - "Glass_fibre = Material(name='glass fibre', gwp=2.5, toxicity=1000, basis= 'kg', label='Glass fibre resin', citation= ' Bachmann et al. (2017)' ) #Assume toxicity\n", - "Mn = Material(name='Mn', gwp=4.51, toxicity=1484, basis= 'kg', label='Manganese', citation= 'Nelson Bunyui Manjong (2021)') #inventory data #9.6, 2.6,7.9\n", - "Monocrystalline = Material(name='Mc', gwp=20, resource_cons = {H2O: 1.5}, toxicity=40.74, basis= 'kg', label='Mono', \n", - "citation= 'Environmental impact assessment of monocrystalline silicon solar photovoltaic cell production: a case study in China (toxicity)')\n", - "Polycrystalline = Material(name='Pc', gwp=26 , resource_cons = {H2O: 1}, toxicity=15, basis= 'kg', label='Poly', citation= 'Environmental Economic Impact Assessments of a ... - MDPI (gwp and toxicity)')\n", - "#1,4-DB-eq\n", - "CdTE = Material(name='CdTe', gwp=40, resource_cons = {H2O: 0.25}, toxicity=5, basis= 'kg', label='C', citation= 'Investigation of life cycle CO2 emissions of the polycrystalline and cadmium telluride PV panels')\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "#THREE WIND FARMS - COMPLETELY DIFFERENT \n", - "WF1 = Process(name='WF1', conversion={Wind: -5, Power: 1, H2O: -1},\n", - " capex=1377, fopex=2117, vopex=300,\n", - " prod_max=100, gwp=42700, land=1800000, trl='nrel', block='power_generation', material_cons = {Steel: 292, Fe:44, CuP: 4, Al: 4, Epoxy: 16, Polyester: 16, \\\n", - " Vinyl_easter: 12, Glass_fibre: 12},\n", - " label='Wind mill array', citation='Use windtoolkit conversion') \n", - "\n", - "WF2 = Process(name='WF2', conversion={Wind: -3.33, Power: 1, H2O: -1}, \n", - " capex=5737, fopex=8824, vopex=900,\n", - " prod_max=100, gwp=52700, land=1400000, trl='nrel', block='power_generation', material_cons = {Steel: 316, Fe:20, CuP: 4, Al: 4, Epoxy: 16, Polyester: 16, \\\n", - " Vinyl_easter: 12, Glass_fibre: 12},\n", - " label='Wind mill array', citation='Use windtoolkit conversion, Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait for land')\n", - "\n", - "WF3 = Process(name='WF3', conversion={Wind: -2.5, Power: 1, H2O: -1},\n", - " capex=567000, fopex=872046, vopex=90000,\n", - " prod_max=100, gwp=62700, land=1000000, trl='nrel', block='power_generation', material_cons = {Steel: 330, Fe:85, CuP: 5, Al: 10, Epoxy: 20, Polyester: 20, \\\n", - " Vinyl_easter: 15, Glass_fibre: 15},\n", - " label='Wind mill array', citation='Use windtoolkit conversion')\n", - "\n", - "PV1 = Process(name='PV1', introduce=pv_start, conversion={Solar: -5, Power: 1, H2O: -0.0757}, material_cons = {Monocrystalline: 0.4}, \n", - " capex=990637, fopex=3354, vopex=4953,\n", - " prod_max=100, gwp=46, land=13320/1800, trl='nrel', block='power_generation', \\\n", - " label='Solar photovoltaics (PV) array', citation='Use pvlib conversion, \\\n", - " Environmental Impacts of Photovoltaics: The Effects of Technological Improvements and Transfer of Manufacturing from Europe to China for gwp, \\\n", - " Technoeconomic analysis of high-value, crystalline silicon photovoltaic module recycling processes for material,\\\n", - " A Techno-Economic Feasibility Analysis of Mono-Si and Poly-Si Photovoltaic Systems in the Rooftop Area of Commercial Building under the Feed-In Tariff Scheme for money') \n", - "\n", - "PV2 = Process(name='PV2', introduce=pv_start, conversion={Solar: -6.67, Power: 1, H2O: -0.0857}, material_cons = {Polycrystalline: 0.36}, \n", - " prod_max=100, gwp=53, land=13320/1800, trl='nrel', block='power_generation', \\\n", - " label='Solar photovoltaics (PV) array', citation='Use pvlib conversion, for gwp, for money, 10*0.036')\n", - "\n", - "PV3 = Process(name='PV3', introduce=pv_start, conversion={Solar: -3.33, Power: 1, H2O: -0.0957}, material_cons = {CdTE: 0.02},\n", - " prod_max=100, gwp=18, land=13320/1800, trl='nrel', block='power_generation', \\\n", - " label='Solar photovoltaics (PV) array', citation='Use pvlib conversion, for gwp')\n", - "\n", - "#Lead_a_d = Process(name='PbB_d', conversion={Charge: -1.176, Power: 1}, capex=0.001, fopex=0.001, vopex=0, label='Lead-acid', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "#Lead_a_c = Process(name='PbB_c', conversion={Charge: 1, Power: -1}, trl='utility', capex=260000, fopex=5900, vopex=0, material_cons = {PbB: 20}, gwp=0.075, lifetime=(5,15), label='Lead-acid', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "\n", - "Na_S_c = Process(name='Na-S_c', conversion={Charge: 1, Power: -1}, trl='utility', lifetime=(10,15), material_cons = {Na: 40}, capex=1002181.8181818181, fopex=31432.7272727272, vopex=0, label='Sodium-Sulfur', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "\n", - "Na_S_d = Process(name='Na-S_d', conversion={Charge: -1.25, Power: 1}, label='Sodium-Sulfur', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "\n", - "#Lead_b_c = Process(name='PbI_c', conversion={Charge: 1, Power: -1}, capex=300000, fopex=7900, vopex=0,trl='utility', material_cons = {PbI: 20}, gwp=0.075, lifetime=(5,15), label='Lead-acid', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "#Lead_b_d = Process(name='PbI_d', conversion={Charge: -1.196, Power: 1}, capex=0.001, fopex=0.001, vopex=0, label='Lead-acid', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "\n", - "\n", - "Ni_Cd_c = Process(name='Ni-Cd_c', conversion={Charge: 1, Power: -1},trl='utility', material_cons = {Ni: 20}, capex=2002181.8181818181, fopex=71432.7272727272, vopex=0, gwp=0.08, lifetime=(10,20), label='Ni-Cd', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "Ni_Cd_d = Process(name='Ni-Cd_D', conversion={Charge: -1.54, Power: 1},label='Ni-Cd', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "\n", - "#DIFFERENT KINDS OF LITHIUM ION\n", - "LiI_a_c = Process(name='LiR_c', conversion={Charge: 1, Power: -1}, material_cons = {LiR: 20}, capex=1502181.8181818181, fopex=51432.7272727272, vopex=0, #cost = cost_dict['HO']['moderate']['LiI_c']['0'],\\\n", - " prod_max=100, trl='nrel', block='power_storage', label='Lithium-ion battery R', citation='Zakeri 2015')\n", - "\n", - "LiI_a_d = Process(name='LiR_d', conversion={Charge: -1.1765, Power: 1}, capex=0.001, fopex=0.001, vopex=0, \\\n", - " \n", - " prod_max=100, trl='discharge', block='power_storage', label='Lithium-ion battery discharge R', citation='Zakeri 2015')\n", - "\n", - "LiI_b_c = Process(name='LiB_c', conversion={Charge: 1, Power: -1}, material_cons = {Na: 30}, capex=1302181.8181818181, fopex=41432.7272727272, vopex=0, #cost = cost_dict['HO']['moderate']['LiI_c']['0'],\\\n", - " prod_max=100, trl='nrel', block='power_storage', label='Lithium-ion battery B', citation='Zakeri 2015')\n", - "\n", - "LiI_b_d = Process(name='LiB_d', conversion={Charge: -1.05, Power: 1}, capex=0.001, fopex=0.001, vopex=0, #cost = cost_dict['HO']['moderate']['LiI_c']['0'],\\\n", - " prod_max=100, trl='nrel', block='power_storage', label='Lithium-ion battery B', citation='Zakeri 2015')\n", - "\n", - "\n", - "\n", - "#Vrb_c = Process(name='VRB_c', conversion={Charge: 1, Power: -1}, material_cons = {PbB: 20}, trl='utility', gwp=0.02, lifetime=(5,10), label='VRB', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "#Vrb_d = Process(name='VRB_d', conversion={Charge: -1.33, Power: 1}, label='VRB', citation= 'Florin, N. and Dominish, E. (2017), Zakeri 2015')\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare location(s)}$\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Scenario with all processes considered" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential material\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "process_set = {PV1, PV2, PV3, WF1, WF2, WF3, Na_S_c, Na_S_d,\n", - " Ni_Cd_c, Ni_Cd_d, LiI_a_c, LiI_a_d, LiI_b_c, LiI_b_d}\n", - "\n", - "HO = Location(name='HO', processes=process_set, demand_factor={Power: ercot}, capacity_factor={PV1: pandas.DataFrame(weather['dni']), WF1: pandas.DataFrame(weather['wind_speed'])}, scales=scales,\n", - " label='Houston', demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "scenario0 = Scenario(name='shell', network=HO, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, label='shell milp case study (HO)', demand= {HO: {Power: 100}})\n", - "\n", - "\n", - "milp0 = formulate(scenario=scenario0, constraints={\n", - " Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.LAND, Constraints.RESOURCE_BALANCE, Constraints.EMISSION}, objective=Objective.COST)\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 359357 rows, 315545 columns and 1112902 nonzeros\n", - "Model fingerprint: 0xc6a55ef6\n", - "Coefficient statistics:\n", - " Matrix range [1e-03, 2e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [4e+01, 1e+10]\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 262997 rows and 210417 columns\n", - "Presolve time: 0.46s\n", - "Presolved: 96360 rows, 105128 columns, 341639 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.03s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 8\n", - " AA' NZ : 2.365e+05\n", - " Factor NZ : 9.681e+05 (roughly 90 MB of memory)\n", - " Factor Ops : 1.043e+07 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 3.65484871e+18 -4.04232676e+19 8.93e+08 2.10e+05 1.18e+15 1s\n", - " 1 2.94575229e+18 -1.38846818e+19 6.57e+08 3.23e+05 3.89e+14 1s\n", - " 2 3.10259015e+18 -2.68232002e+16 5.43e+08 8.43e+04 3.01e+14 1s\n", - " 3 6.90143663e+17 -1.39661414e+17 1.14e+08 1.48e-02 6.89e+13 1s\n", - " 4 2.61418434e+13 -1.48961637e+14 1.24e+04 2.37e-04 7.77e+09 1s\n", - " 5 7.13687753e+10 -2.17668937e+12 4.32e+01 6.68e-05 3.28e+07 1s\n", - " 6 5.65800834e+09 -1.74522335e+12 2.78e+00 8.96e-05 7.38e+06 1s\n", - " 7 3.39341936e+09 -1.90103123e+11 2.59e-03 6.44e-05 6.69e+05 1s\n", - " 8 8.34406106e+08 -3.92197291e+09 7.51e-07 1.41e-05 1.65e+04 1s\n", - " 9 3.94249517e+08 -2.85553536e+09 1.87e-08 1.04e-05 1.12e+04 2s\n", - " 10 1.95039934e+08 -1.56753678e+09 2.90e-09 3.86e-06 6.10e+03 2s\n", - " 11 1.47404226e+08 -8.65650328e+08 6.93e-14 2.22e-06 3.50e+03 2s\n", - " 12 4.05894787e+07 -1.61815147e+08 3.00e-14 3.53e-07 7.00e+02 2s\n", - " 13 1.04854643e+07 -3.54824849e+07 9.80e-15 8.37e-08 1.59e+02 2s\n", - " 14 2.22513717e+06 -5.92442255e+06 3.54e-14 1.42e-08 2.82e+01 2s\n", - " 15 3.76946918e+05 -7.86923431e+05 1.10e-13 3.08e-08 4.03e+00 2s\n", - " 16 6.56956983e+04 -1.20017743e+05 8.21e-13 1.51e-08 6.42e-01 2s\n", - " 17 5.60486419e+03 -2.67771620e+04 3.62e-14 8.61e-10 1.12e-01 2s\n", - " 18 1.48837869e+02 -2.45375891e+02 6.00e-15 2.85e-08 1.36e-03 2s\n", - " 19 9.10098579e+01 5.33238695e+01 1.10e-15 3.02e-08 1.30e-04 3s\n", - " 20 7.72329425e+01 7.01352452e+01 4.97e-16 1.84e-08 2.46e-05 3s\n", - " 21 7.54761592e+01 7.47091692e+01 2.51e-16 1.91e-09 2.65e-06 3s\n", - " 22 7.53205137e+01 7.53017723e+01 3.88e-16 1.24e-07 6.48e-08 3s\n", - " 23 7.53129533e+01 7.53129530e+01 1.94e-15 3.69e-08 8.61e-13 3s\n", - "\n", - "Barrier solved model in 23 iterations and 3.11 seconds (1.52 work units)\n", - "Optimal objective 7.53129533e+01\n", - "\n", - "Crossover log...\n", - "\n", - " 61320 DPushes remaining with DInf 0.0000000e+00 3s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 3s\n", - "\n", - " 1 PPushes remaining with PInf 0.0000000e+00 3s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 3s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 0.0000000e+00 3s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 26284 7.5312953e+01 0.000000e+00 0.000000e+00 3s\n", - "\n", - "Solved in 26284 iterations and 3.49 seconds (1.73 work units)\n", - "Optimal objective 7.531295314e+01\n" - ] - } - ], - "source": [ - "results0 = solve(scenario=scenario0, instance=milp0,\n", - " solver='gurobi', name=f\"Material_case_study0\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "Location.__init__() got an unexpected keyword argument 'cost_scale_level'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[33], line 4\u001b[0m\n\u001b[0;32m 1\u001b[0m process_set1 \u001b[39m=\u001b[39m {PV1, PV2, PV3, Na_S_c, Na_S_d, Ni_Cd_c, Ni_Cd_d, LiI_a_c, LiI_a_d, LiI_b_c, LiI_b_d}\n\u001b[1;32m----> 4\u001b[0m HO1 \u001b[39m=\u001b[39m Location(name\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mHO1\u001b[39;49m\u001b[39m'\u001b[39;49m, processes\u001b[39m=\u001b[39;49m process_set1, demand_factor\u001b[39m=\u001b[39;49m {Power: ercot}, capacity_factor \u001b[39m=\u001b[39;49m {PV1: pandas\u001b[39m.\u001b[39;49mDataFrame(weather[\u001b[39m'\u001b[39;49m\u001b[39mdni\u001b[39;49m\u001b[39m'\u001b[39;49m]), WF1: pandas\u001b[39m.\u001b[39;49mDataFrame(weather[\u001b[39m'\u001b[39;49m\u001b[39mwind_speed\u001b[39;49m\u001b[39m'\u001b[39;49m])}, scales\u001b[39m=\u001b[39;49mscales, \\\n\u001b[0;32m 5\u001b[0m label\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mHouston\u001b[39;49m\u001b[39m'\u001b[39;49m, demand_scale_level\u001b[39m=\u001b[39;49m\u001b[39m2\u001b[39;49m, capacity_scale_level\u001b[39m=\u001b[39;49m \u001b[39m2\u001b[39;49m, cost_scale_level\u001b[39m=\u001b[39;49m \u001b[39m1\u001b[39;49m)\n\u001b[0;32m 7\u001b[0m scenario1 \u001b[39m=\u001b[39m Scenario(name\u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mshell1\u001b[39m\u001b[39m'\u001b[39m, network\u001b[39m=\u001b[39m HO1, scales\u001b[39m=\u001b[39m scales, expenditure_scale_level\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m, scheduling_scale_level\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m, \\\n\u001b[0;32m 8\u001b[0m network_scale_level\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m, demand_scale_level\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m, label\u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mshell milp case study (HO)\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 10\u001b[0m milp1 \u001b[39m=\u001b[39m formulate(scenario\u001b[39m=\u001b[39m scenario1, demand \u001b[39m=\u001b[39m \u001b[39m10\u001b[39m, \\\n\u001b[0;32m 11\u001b[0m constraints\u001b[39m=\u001b[39m{Constraints\u001b[39m.\u001b[39mcost, Constraints\u001b[39m.\u001b[39minventory, Constraints\u001b[39m.\u001b[39mproduction, Constraints\u001b[39m.\u001b[39mland, Constraints\u001b[39m.\u001b[39mresource_balance, Constraints\u001b[39m.\u001b[39memission}, \\\n\u001b[0;32m 12\u001b[0m objective\u001b[39m=\u001b[39m Objective\u001b[39m.\u001b[39mcost)\n", - "\u001b[1;31mTypeError\u001b[0m: Location.__init__() got an unexpected keyword argument 'cost_scale_level'" - ] - } - ], - "source": [ - "process_set1 = {PV1, PV2, PV3, Na_S_c, Na_S_d, Ni_Cd_c, Ni_Cd_d, LiI_a_c, LiI_a_d, LiI_b_c, LiI_b_d}\n", - "\n", - "\n", - "HO1 = Location(name='HO1', processes= process_set1, demand_factor= {Power: ercot}, capacity_factor = {PV1: pandas.DataFrame(weather['dni']), WF1: pandas.DataFrame(weather['wind_speed'])}, scales=scales, \\\n", - " label='Houston', demand_scale_level=2, capacity_scale_level= 2, cost_scale_level= 1)\n", - "\n", - "scenario1 = Scenario(name= 'shell1', network= HO1, scales= scales, expenditure_scale_level= 0, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'shell milp case study (HO)')\n", - "\n", - "milp1 = formulate(scenario= scenario1, demand = 10, \\\n", - " constraints={Constraints.cost, Constraints.inventory, Constraints.production, Constraints.land, Constraints.resource_balance, Constraints.emission}, \\\n", - " objective= Objective.cost)\n", - "\n", - "# results1 = solve(scenario = scenario1, instance= milp1, solver= 'gurobi', \\\n", - "# name=f\"Material_case_study1\")\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "process_set2 = {WF1, WF2, WF3, Na_S_c, Na_S_d, Ni_Cd_c, Ni_Cd_d, LiI_a_c, LiI_a_d, LiI_b_c, LiI_b_d}\n", - "\n", - "HO2 = Location(name='HO2', processes= process_set2, demand_factor= {Power: ercot}, \\\n", - " capacity_factor = {PV2: pandas.DataFrame(weather['dni']), WF2: pandas.DataFrame(weather['wind_speed'])}, scales=scales, \\\n", - " label='Houston', demand_scale_level=2, capacity_scale_level= 2, cost_scale_level= 1)\n", - "\n", - "scenario2 = Scenario(name= 'shell2', network= HO2, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'shell milp case study (HO)')\n", - "\n", - "milp2 = formulate(scenario= scenario2, demand = 10, \\\n", - " constraints={Constraints.cost, Constraints.inventory, Constraints.production, Constraints.land, Constraints.resource_balance, Constraints.emission}, \\\n", - " objective= Objective.cost)\n", - "\n", - "# results2 = solve(scenario = scenario2, instance= milp2, solver= 'gurobi', \\\n", - "# name=f\"Material_case_study2\")\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "process_set3 = {WF1, WF2, WF3, PV1, PV2, PV3, Na_S_c, Na_S_d, Ni_Cd_c, Ni_Cd_d}\n", - "\n", - "HO3 = Location(name='HO3', processes= process_set3, demand_factor= {Power: ercot}, \\\n", - " capacity_factor = {PV3: pandas.DataFrame(weather['dni']), WF3: pandas.DataFrame(weather['wind_speed'])}, scales=scales, \\\n", - " label='Houston', demand_scale_level=2, capacity_scale_level= 2, cost_scale_level= 1)\n", - "\n", - "scenario3 = Scenario(name= 'shell3', network= HO3, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'shell milp case study (HO)')\n", - "\n", - "milp3 = formulate(scenario= scenario3, demand = 10, \\\n", - " constraints={Constraints.cost, Constraints.inventory, Constraints.production, Constraints.land, Constraints.resource_balance, Constraints.emission}, \\\n", - " objective= Objective.cost)\n", - "\n", - "# results3 = solve(scenario = scenario3, instance= milp3, solver= 'gurobi', \\\n", - "# name=f\"Material_case_study\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "scenario_dict = {\n", - " 0: {'scenario': scenario0, 'milp': milp0 },\n", - " 1: {'scenario': scenario1, 'milp': milp1 },\n", - " 2: {'scenario': scenario2, 'milp': milp2 },\n", - " 3: {'scenario': scenario3, 'milp': milp3 }}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict = {i: solve(scenario = scenario_dict[i]['scenario'], instance= scenario_dict[i]['milp'], solver= 'gurobi', \\\n", - " name=f\"Material_case_study{i}\") for i in range(4)}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot.schedule(location= 'HO', component = 'Charge', y_axis='Inv', results= results_dict[0])\n", - "plot.schedule(location= 'HO1', component = 'Charge', y_axis='Inv', results= results_dict[1])\n", - "plot.schedule(location= 'HO2', component = 'Charge', y_axis='Inv', results= results_dict[2])\n", - "plot.schedule(location= 'HO3', component = 'Charge', y_axis='Inv', results= results_dict[3])\n", - "#plot.schedule(location= 'HO3', component = 'PV3', y_axis='P', results= results_dict[3])\n", - "#plot.contribution(location= 'HO', y_axis = 'S_location', results= results_dict[0])\n", - "#plot.contribution(location= 'HO1', y_axis = 'S_location', results= results_dict[1])\n", - "#plot.contribution(location= 'HO2', y_axis = 'S_location', results= results_dict[2])\n", - "#plot.contribution(location= 'HO3', y_axis = 'S_location', results= results_dict[3])\n", - "plot.contribution(location= 'HO', y_axis = 'Cap_P', results= results_dict[0])\n", - "plot.contribution(location= 'HO1', y_axis = 'Cap_P', results= results_dict[1])\n", - "plot.contribution(location= 'HO2', y_axis = 'Cap_P', results= results_dict[2])\n", - "plot.contribution(location= 'HO3', y_axis = 'Cap_P', results= results_dict[3])\n", - "plot.capacity_utilization(location= 'HO', process = 'WF1', results= results_dict[0])\n", - "plot.capacity_utilization(location= 'HO1', process = 'PV3', results= results_dict[1])\n", - "plot.capacity_utilization(location= 'HO2', process = 'WF1', results= results_dict[2])\n", - "plot.capacity_utilization(location= 'HO3', process = 'PV3', results= results_dict[3])\n", - "plot.capacity_factor(process=WF1, location= HO) #same for 3 WF\n", - "plot.capacity_factor(process=PV1, location= HO, color='orange')\n", - "#plot.schedule(location= 'HO1', component = 'HV', y_axis='Inv', results= results1)\n", - "#plot.schedule(location= 'HO', component = 'H2_L', y_axis='Inv', results= results0) #same\n", - "#plot.schedule(location= 'HO1', component = 'H2_L', y_axis='Inv', results= results1)\n", - "#plot.schedule(location= 'HO2', component = 'H2_L', y_axis='Inv', results= results2)\n", - "#plot.schedule(location= 'HO3', component = 'H2_L', y_axis='Inv', results= results3)\n", - "#plot.demand_factor(location=HO1, resource= Mile) #same for 3 loc\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "help(Constraints)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.model.constraints.emission import global_warming_potential_network_reduction_constraint" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['global_warming_potential_network'], results_dict[1].output['global_warming_potential_network'], results_dict[2].output['global_warming_potential_network'], results_dict[3].output['global_warming_potential_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "reduction_list = [(i+1)*15 for i in range(5)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def generate_milp(scenario):\n", - " return formulate(scenario= scenario0, demand = 10, \\\n", - " constraints={Constraints.cost, Constraints.inventory, Constraints.production, Constraints.land, Constraints.resource_balance, Constraints.emission}, \\\n", - " objective= Objective.cost)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "def gwp_reduced_milp(scenario, gwp_reduction_pct, gwp, milp):\n", - " return global_warming_potential_network_reduction_constraint(instance = generate_milp(scenario= scenario),\\\n", - " network_scale_level =0, gwp_reduction_pct = gwp_reduction_pct, gwp = gwp)\n", - " \n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "instance_dict = {i: gwp_reduced_milp(scenario0, reduction_list[i], 420022, generate_milp(scenario= scenario0)) for i in range(5)}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict2 = {i:solve(scenario = scenario0, instance= instance_dict[i], solver= 'gurobi', \\\n", - " name=f\"Material_case_study_red{i}\") for i in range(5)}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def gwp_reduce_solve(gwp_reduction_pct, gwp):\n", - " milp = formulate(scenario= scenario0, gwp_reduction_pct= gwp_reduction_pct, gwp= gwp, constraints = {Constraints.cost, Constraints.inventory, Constraints.production, Constraints.land, Constraints.resource_balance, Constraints.emission}, objective = Objective.cost )\n", - " results = solve(scenario = scenario0, instance= milp, solver= 'gurobi', \\\n", - " name=f\"Material_case_study\")\n", - " return results\n", - "\n", - "results_dict = {i: gwp_reduce_solve(gwp_reduction_pct=2*i, gwp = 420022) for i in range(5)}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# results_dict = {i: gwp_reduce_solve(gwp_reduction_pct=0, gwp = 718419.21, scenario = scenario_dict[i]['scenario'], milp = scenario_dict[i]['milp']) for i in range(3)}\n", - "# " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot.contribution(location= 'HO1', y_axis = 'S_location', results= results_dict[0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot.capacity_factor(location= HO, process= PV, color= 'orange')\n", - "# plot.capacity_factor(location= HO, process= WF1, color= 'blue')\n", - "# plot.cost_factor (location= HO, resource= CH4, color= 'red')\n", - "# plot.demand_factor (location= HO, resource= Mile)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "#scenario = Scenario(name= 'shell', network= HO, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " #network_scale_level= 0, demand_scale_level= 2, label= 'shell milp case study (HO)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Plot varying data input}$" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot.capacity_factor(location= HO_reduced, process= PV, color= 'orange')\n", - "# plot.capacity_factor(location= HO_reduced, process= WF, color= 'blue')\n", - "# plot.cost_factor (location= HO_reduced, resource= CH4, color= 'red')\n", - "# plot.demand_factor (location= HO_reduced, resource= Mile)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Formulate model}$\n", - "\n", - "A pyomo instance is formulated from the scenario\n", - "\n", - "Concises sets and corresponding variables are declared.\n", - "\n", - "Corresponding constraints are generated based on the nature of model chosen\n", - "\n", - "In the presented example, a MILP is formulated\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['Capex_location'], results_dict[1].output['Capex_location'], results_dict[2].output['Capex_location']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['Vopex_location'], results_dict[1].output['Vopex_location'], results_dict[2].output['Vopex_location']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['Fopex_location'], results_dict[1].output['Fopex_location'], results_dict[2].output['Fopex_location']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['Cap_P'], results_dict[1].output['Cap_P'], results_dict[2].output['Cap_P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['X_P'], results_dict[1].output['X_P'], results_dict[2].output['X_P'], results_dict[3].output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['global_warming_potential_resource'], results_dict[1].output['global_warming_potential_resource'], results_dict[2].output['global_warming_potential_resource']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['global_warming_potential_network'], results_dict[1].output['global_warming_potential_network'], results_dict[2].output['global_warming_potential_network'], results_dict[3].output['global_warming_potential_network']\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Results" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "bars2 = [420022, 164165, 420022, 188000]\n", - "barWidth = 0.3\n", - " \n", - "# Choose the height of the blue bars\n", - "\n", - " \n", - "# Choose the height of the cyan bars\n", - "\n", - " \n", - " \n", - "# The x position of bars\n", - "r1 = np.arange(len(bars2))\n", - "r2 = [x + barWidth for x in r1]\n", - " \n", - "# Create blue bars\n", - "\n", - "fig, ax = plt.subplots(figsize = (9,6))\n", - "# Create cyan bars\n", - "ax.bar(r2, bars2, width = barWidth, color = 'green', edgecolor = 'black', capsize=7, label='GWP')\n", - "\n", - "# general layout\n", - "ax.set_xticks([r + barWidth for r in range(len(bars2))], ['WFs and PVs', 'PVs', 'WFs', 'PVs excluding Li-ion battery'], fontsize = 14)\n", - "plt.yticks(fontsize = 14)\n", - "ax.set_ylabel('GWP/kg CO2eq/MW', fontsize = 16)\n", - "ax.set_xlabel('Technology pathways', fontsize =16)\n", - "plt.legend()\n", - "plt.grid(alpha = 0.4)\n", - "plt.title('GWP comparison of different technology pathways', fontsize= 18)\n", - "# Show graphic\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "bars2 = [1.577e+07, 1.298e+08, 1.577e+07, 1.303e+08]\n", - "barWidth = 0.3\n", - " \n", - "# Choose the height of the blue bars\n", - "\n", - " \n", - "# Choose the height of the cyan bars\n", - "\n", - " \n", - " \n", - "# The x position of bars\n", - "r1 = np.arange(len(bars2))\n", - "r2 = [x + barWidth for x in r1]\n", - " \n", - "# Create blue bars\n", - "\n", - "fig, ax = plt.subplots(figsize = (9,6))\n", - "# Create cyan bars\n", - "ax.bar(r2, bars2, width = barWidth, color = 'cyan', edgecolor = 'black', capsize=7, label='cost')\n", - "\n", - "# general layout\n", - "ax.set_xticks([r + barWidth for r in range(len(bars2))], ['WFs and PVs', 'PVs', 'WFs', 'PVs excluding Li-ion battery'], fontsize = 14)\n", - "plt.yticks(fontsize = 14)\n", - "ax.set_ylabel('Cost/$', fontsize = 16)\n", - "ax.set_xlabel('Technology pathways', fontsize =16)\n", - "plt.legend()\n", - "plt.grid(alpha = 0.4)\n", - "plt.title('Cost comparison of different technology pathways', fontsize= 18)\n", - "# Show graphic\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "for i in range(4):\n", - " print(f\"============{i}=============\")\n", - " \n", - " print(results_dict[i].output['global_warming_potential_process'])\n", - " print(results_dict[i].output['global_warming_potential_material'])\n", - " print(results_dict[i].output['global_warming_potential_resource'])\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "156., 92\n", - "\n", - "# libraries\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - " \n", - "# width of the bars\n", - "barWidth = 0.3\n", - " \n", - "# Choose the height of the blue bars\n", - "bars1 = [420022, 507153, 164000]\n", - " \n", - "# Choose the height of the cyan bars\n", - "\n", - " \n", - " \n", - "# The x position of bars\n", - "r1 = np.arange(len(bars1))\n", - "r2 = [x + barWidth for x in r1]\n", - " \n", - "# Create blue bars\n", - "plt.bar(r1, bars1, width = barWidth, color = 'blue', edgecolor = 'black', capsize=7, label='GWP')\n", - " \n", - "# Create cyan bars\n", - "\n", - " \n", - "# general layout\n", - "plt.xticks([r + barWidth for r in range(len(bars1))], ['WF A and PV A', 'WF B and PV B', 'WF C and PV C'])\n", - "plt.ylabel('GWP')\n", - "plt.legend()\n", - " \n", - "# Show graphic\n", - "plt.show()\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "# process_set = {LiI_c, LiI_d, CAES_c, CAES_d, PSH_c, PSH_d, WF, PV, AKE, SMRH, SMR, ASMR, H2_C_d, \\\n", - "# H2_C_d, H2_L_c, H2_L_d, DAC, EOR, AQoff_SMR, EV, HV, MV, Na_S_c, Lead_a_c, Lead_b_c, Vrb_c, \\\n", - "# Ni_Cd_c, Na_S_d, Lead_a_d, Lead_b_d, Vrb_d, Ni_Cd_d, CO2_based_methanol, Biogas_plant, Biomass}\n", - "# HV, MV,\n", - "\n", - "\n", - "# process_set1 = {LiI_c, LiI_d, DAC, WF1, PV, AKE, H2_L_c, H2_L_d, EV, Na_S_c, Lead_a_c, Lead_b_c, Vrb_c, \\\n", - "# Ni_Cd_c, Na_S_d, Lead_a_d, Lead_b_d, Vrb_d, Ni_Cd_d, CO2_based_methanol, Biogas_plant, Biomass} \n", - "\n", - "\n", - "# process_set1 = {LiI_c, LiI_d, DAC, WF1, PV, AKE, H2_L_c, H2_L_d, HV, Na_S_c, Lead_a_c, Lead_b_c, Vrb_c, \\\n", - "# Ni_Cd_c, Na_S_d, Lead_a_d, Lead_b_d, Vrb_d, Ni_Cd_d, CO2_based_methanol, Biogas_plant, Biomass} \n", - "\n", - "# CO2_based_methanol = Process(name='methanol', conversion = {CO2: -1, CH3OH: 1}, trl='pilot', gwp=-1.7, label='CO2 CH3OH', citation= 'muller (2020)')\n", - "# Biogas_plant = Process(name='Biogas', trl='pilot', conversion = {Biogas:-1, Power: 1}, gwp=-0.42, lifetime=20, label='Biogas', citation= 'Economic and Global Warming Potential Assessment of Flexible Power Generation with Biogas Plants, Life Cycle Environmental Impacts of Electricity from Biogas Produced by Anaerobic Digestion')\n", - "# Biomass = Process(name='Biomass', trl='pilot', conversion = {Biomass: -1, Power: 1}, gwp=0.13, label='Biomass', citation= 'Analysis of the Global Warming Potential of Biogenic CO2 Emission in Life Cycle Assessments') #gwp=0.049 nrel\n", - "\n", - "# CO2_based_methanol = Process(name='methanol', conversion = {CO2: -1, CH3OH: 1}, trl='pilot', gwp=(-1.7,9.7), label='CO2 CH3OH', citation= 'muller (2020)')\n", - "# Biogas_plant = Process(name='Biogas', trl='pilot', conversion = {Biogas:-1, Power: 1}, gwp=(-0.42, 0.06), lifetime=20, label='Biogas', citation= 'Economic and Global Warming Potential Assessment of Flexible Power Generation with Biogas Plants, Life Cycle Environmental Impacts of Electricity from Biogas Produced by Anaerobic Digestion')\n", - "# Biomass = Process(name='Biomass', trl='pilot', conversion = {Biomass: -1, Power: 1}, gwp=(0.13,0.32), label='Biomass', citation= 'Analysis of the Global Warming Potential of Biogenic CO2 Emission in Life Cycle Assessments') #gwp=0.049 nrel\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ki", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multimode/multimode.ipynb b/examples/multimode/multimode.ipynb deleted file mode 100644 index ec5bf030..00000000 --- a/examples/multimode/multimode.ipynb +++ /dev/null @@ -1,1065 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Small energy systems MILP example" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A simple problem with three processes\n", - "\n", - "- Solar PV with varying capacity factor\n", - "- Wind Farm with varying capacity factor\n", - "- Lithium-ion battery storage\n", - "\n", - "and varying demand.\n", - "\n", - "The problem is modeled over two scales\n", - "\n", - "- 0, network scale with 1 time period\n", - "- 1, scheduling and demand scales with 4 time periods\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**System path**" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "import pandas\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.solve import solve" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Input Data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Factors are normalized, and can be used to account for:\n", - "\n", - "- variable resource demand (demand_factor)\n", - "- intermittent resource availability (capacity factor)\n", - "- varying resource purchase cost (cost factor)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "demand_factor = pandas.DataFrame(data={'Power': [0.6, 1, 0.8, 0.3]})\n", - "capacity_factor_pv = pandas.DataFrame(data={'PV': [0.6, 0.8, 0.9, 0.7]})\n", - "capacity_factor_wf = pandas.DataFrame(data={'WF': [0.9, 0.8, 0.5, 0.7]})\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare temporal scale**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Consider four seasons in a year.\n", - "\n", - "Network decisions are taken annually (scale level 0)\n", - "\n", - "Scheduling decisions are taken seasonally (scale level 1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 4])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare resources**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be declared with attributes such as maximum consumption (cons_max), resource price (price), maximum allowed inventory (store_max)\n", - "\n", - "As also whether they can be discharged (sell), have to meet demand (demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', demand=True,\n", - "# label='Power generated', varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "H2 = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource', demand = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=10**10,\n", - " price=0.001, basis='kg', label='Water', block='Resource')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='kg', label='Oxygen')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare processes**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes consume resources and can be of three type:\n", - "\n", - "- storage, if storage = some_resource \n", - "- single mode, as with the processes defined here wherein a conversions are provided\n", - "- multi mode, if a multiconversion dict is provided" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "prod_max = {0: 20, 1: 60, 2: 100}\n", - "prod_min = {0: 0, 1: 20, 2: 60}\n", - "rate_max = {0: 20, 1: 30, 2: 20}\n", - "mode_ramp = {(0,1): 1, (1,2): 1}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "PEM = Process(name='PEM', conversion={0: {Power: -1, H2: 19.474, O2: 763.2, H2O: -175.266}, 1: {Power: -1, H2: 19.474*1.1, O2: 763.2*1.1, H2O: -175.266*1.1},\n", - " 2: {Power: -1, H2: 19.474*1.15, O2: 763.2*1.15, H2O: -175.266*1.15}}, rate_max=rate_max, mode_ramp = mode_ramp, capex=784000, fopex=17000, \n", - " vopex=20, prod_max=prod_max, prod_min=prod_min, label='PEM electrolyzer', basis='MW')\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, prod_min=20,\n", - " vopex=2000, prod_max=100, label='Lithium-ion battery', basis='MW', storage_loss = 0.04)\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=990637, fopex=3354, vopex=4953,\n", - " prod_max=100, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000,\n", - " prod_max=100, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'LiI_Power_stored', 'Power'}" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "LiI.resource_req" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[, ]" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PEM.varying" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Locations are essentially a set of processes, the required resources are collected implicitly.\n", - "\n", - "Location-wise capacity, demand, and cost factors can be provided. \n", - "\n", - "The scales of the capacity and demand data need to be provided as well." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name='place', processes={LiI, PV, WF, PEM}, demand_factor={Power: demand_factor}, capacity_factor={PV: capacity_factor_pv, WF: capacity_factor_wf},\n", - " capacity_scale_level=1, demand_scale_level=1, scales=scales, label='some place')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*plot varying factors*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Plotting functions in energiapy.plot can be used to plot the factors" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "# plot.capacity_factor(location= place, process= PV, fig_size= (9,5), color= 'orange')\n", - "# plot.capacity_factor(location= place, process= WF, fig_size= (9,5), color= 'blue')\n", - "# plot.demand_factor(location= place, resource= Power, fig_size= (9,5), color= 'red')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent.\n", - "\n", - "The demand, network, scheduling, and expenditure scales need to be provided. They all default to 0." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "case = Scenario(name='case', network=place, demand={place: {\n", - " Power: 30, H2: 1}}, network_scale_level=0, demand_scale_level=1, scheduling_scale_level=1, capacity_scale_level = 1, scales=scales, label='small scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'PEM': [0, 1, 2], 'LiI_discharge': [0], 'LiI': [0], 'PV': [0], 'WF': [0]}" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.mode_dict" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Formulate MILP**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be formulated using different constraints and objectives.\n", - "\n", - "milp is a pyomo instance, additional constraints can be provided in a bespoke manner" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(case.mode_dict['WF'])" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint production mode facility\n", - "constraint min production mode facility\n", - "constraint production mode binary\n", - "constraint production rate1\n", - "constraint production rate2\n", - "constraint production mode switch\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp = formulate(scenario=case, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK, Constraints.MODE, Constraints.DEMAND}, objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('model.lp', 2495671643840)" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "milp.write('model.lp')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Solve**" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'PEM': {0: 20, 1: 60, 2: 100},\n", - " 'LiI_discharge': {0: 100},\n", - " 'LiI': {0: 100},\n", - " 'PV': {0: 100},\n", - " 'WF': {0: 100}}}" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.prod_max" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To solve the model, the solve requires a scenario and a modeling instance to be provided. \n", - "\n", - "Also a solver needs to be chosen." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 273 rows, 265 columns and 705 nonzeros\n", - "Model fingerprint: 0x781b0306\n", - "Variable types: 180 continuous, 85 integer (85 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-03, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+10]\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 207 rows and 217 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 66 rows, 48 columns, 220 nonzeros\n", - "Variable types: 27 continuous, 21 integer (9 binary)\n", - "Found heuristic solution: objective 2.694943e+07\n", - "\n", - "Root relaxation: objective 7.678499e+04, 19 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 76784.9875 0 4 2.6949e+07 76784.9875 100% - 0s\n", - "H 0 0 88302.730191 76784.9875 13.0% - 0s\n", - "H 0 0 77406.884485 76784.9875 0.80% - 0s\n", - "H 0 0 76784.987470 76784.9875 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Implied bound: 3\n", - " MIR: 7\n", - "\n", - "Explored 1 nodes (19 simplex iterations) in 0.04 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 4: 76785 77406.9 88302.7 2.69494e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 7.678498747004e+04, best bound 7.678498747004e+04, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = solve(scenario=case, instance=milp, solver='gurobi', name=f\"MILP\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "X_P_mm : Production mode transition binaries\n", - " Size=52, Index=X_P_mm_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'LiI', 0, 0, 0, 0) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'LiI', 0, 0, 0, 1) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'LiI', 0, 0, 0, 2) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'LiI', 0, 0, 0, 3) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'LiI_discharge', 0, 0, 0, 0) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'LiI_discharge', 0, 0, 0, 1) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'LiI_discharge', 0, 0, 0, 2) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'LiI_discharge', 0, 0, 0, 3) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 0, 0, 0, 0) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 0, 0, 0, 1) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 0, 0, 0, 2) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 0, 0, 0, 3) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 0, 1, 0, 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 0, 1, 0, 1) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 0, 1, 0, 2) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 0, 1, 0, 3) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 0, 2, 0, 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 0, 2, 0, 1) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 0, 2, 0, 2) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 0, 2, 0, 3) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 0, 0, 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 0, 0, 1) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 0, 0, 2) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 0, 0, 3) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 1, 0, 0) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 1, 1, 0, 1) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 1, 1, 0, 2) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 1, 1, 0, 3) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 1, 2, 0, 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 2, 0, 1) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 2, 0, 2) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 1, 2, 0, 3) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 0, 0, 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 0, 0, 1) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 0, 0, 2) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 0, 0, 3) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 1, 0, 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 1, 0, 1) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 1, 0, 2) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 1, 0, 3) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('place', 'PEM', 2, 2, 0, 0) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 2, 2, 0, 1) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 2, 2, 0, 2) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PEM', 2, 2, 0, 3) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PV', 0, 0, 0, 0) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PV', 0, 0, 0, 1) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PV', 0, 0, 0, 2) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'PV', 0, 0, 0, 3) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'WF', 0, 0, 0, 0) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'WF', 0, 0, 0, 1) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'WF', 0, 0, 0, 2) : 0 : None : 1 : False : True : Binary\n", - " ('place', 'WF', 0, 0, 0, 3) : 0 : None : 1 : False : True : Binary\n" - ] - } - ], - "source": [ - "milp.X_P_mm.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_production_rate2 : production mode rate 1\n", - " Size=12, Index=constraint_production_rate2_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'PEM', 0, 0, 0) : -Inf : P_m[place,PEM,0,0,0] - P_m[place,PEM,0,0,3] - (20 + 30*(2 - X_P_m[place,PEM,0,0,0] - X_P_m[place,PEM,0,0,3])) : 0.0 : True\n", - " ('place', 'PEM', 0, 0, 1) : -Inf : P_m[place,PEM,0,0,1] - P_m[place,PEM,0,0,0] - (20 + 30*(2 - X_P_m[place,PEM,0,0,1] - X_P_m[place,PEM,0,0,0])) : 0.0 : True\n", - " ('place', 'PEM', 0, 0, 2) : -Inf : P_m[place,PEM,0,0,2] - P_m[place,PEM,0,0,1] - (20 + 30*(2 - X_P_m[place,PEM,0,0,2] - X_P_m[place,PEM,0,0,1])) : 0.0 : True\n", - " ('place', 'PEM', 0, 0, 3) : -Inf : P_m[place,PEM,0,0,3] - P_m[place,PEM,0,0,2] - (20 + 30*(2 - X_P_m[place,PEM,0,0,3] - X_P_m[place,PEM,0,0,2])) : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 0) : -Inf : P_m[place,PEM,1,0,0] - P_m[place,PEM,1,0,3] - (30 + 30*(2 - X_P_m[place,PEM,1,0,0] - X_P_m[place,PEM,1,0,3])) : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 1) : -Inf : P_m[place,PEM,1,0,1] - P_m[place,PEM,1,0,0] - (30 + 30*(2 - X_P_m[place,PEM,1,0,1] - X_P_m[place,PEM,1,0,0])) : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 2) : -Inf : P_m[place,PEM,1,0,2] - P_m[place,PEM,1,0,1] - (30 + 30*(2 - X_P_m[place,PEM,1,0,2] - X_P_m[place,PEM,1,0,1])) : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 3) : -Inf : P_m[place,PEM,1,0,3] - P_m[place,PEM,1,0,2] - (30 + 30*(2 - X_P_m[place,PEM,1,0,3] - X_P_m[place,PEM,1,0,2])) : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 0) : -Inf : P_m[place,PEM,2,0,0] - P_m[place,PEM,2,0,3] - (20 + 30*(2 - X_P_m[place,PEM,2,0,0] - X_P_m[place,PEM,2,0,3])) : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 1) : -Inf : P_m[place,PEM,2,0,1] - P_m[place,PEM,2,0,0] - (20 + 30*(2 - X_P_m[place,PEM,2,0,1] - X_P_m[place,PEM,2,0,0])) : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 2) : -Inf : P_m[place,PEM,2,0,2] - P_m[place,PEM,2,0,1] - (20 + 30*(2 - X_P_m[place,PEM,2,0,2] - X_P_m[place,PEM,2,0,1])) : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 3) : -Inf : P_m[place,PEM,2,0,3] - P_m[place,PEM,2,0,2] - (20 + 30*(2 - X_P_m[place,PEM,2,0,3] - X_P_m[place,PEM,2,0,2])) : 0.0 : True\n" - ] - } - ], - "source": [ - "milp.constraint_production_rate2.pprint()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Results**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_production_facility : production facility sizing and location\n", - " Size=5, Index=constraint_production_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'LiI', 0) : -Inf : Cap_P[place,LiI,0] - 100*X_P[place,LiI,0] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0) : -Inf : Cap_P[place,LiI_discharge,0] - 100*X_P[place,LiI_discharge,0] : 0.0 : True\n", - " ('place', 'PEM', 0) : -Inf : Cap_P[place,PEM,0] - 100*X_P[place,PEM,0] : 0.0 : True\n", - " ('place', 'PV', 0) : -Inf : Cap_P[place,PV,0] - 100*X_P[place,PV,0] : 0.0 : True\n", - " ('place', 'WF', 0) : -Inf : Cap_P[place,WF,0] - 100*X_P[place,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp.constraint_production_facility.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_min_production_mode_facility : production facility sizing and location\n", - " Size=28, Index=constraint_min_production_mode_facility_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'LiI', 0, 0, 0) : -Inf : 20*X_P_m[place,LiI,0,0,0] - Cap_P_m[place,LiI,0,0,0] : 0.0 : True\n", - " ('place', 'LiI', 0, 0, 1) : -Inf : 20*X_P_m[place,LiI,0,0,1] - Cap_P_m[place,LiI,0,0,1] : 0.0 : True\n", - " ('place', 'LiI', 0, 0, 2) : -Inf : 20*X_P_m[place,LiI,0,0,2] - Cap_P_m[place,LiI,0,0,2] : 0.0 : True\n", - " ('place', 'LiI', 0, 0, 3) : -Inf : 20*X_P_m[place,LiI,0,0,3] - Cap_P_m[place,LiI,0,0,3] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0, 0, 0) : -Inf : 20*X_P_m[place,LiI_discharge,0,0,0] - Cap_P_m[place,LiI_discharge,0,0,0] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0, 0, 1) : -Inf : 20*X_P_m[place,LiI_discharge,0,0,1] - Cap_P_m[place,LiI_discharge,0,0,1] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0, 0, 2) : -Inf : 20*X_P_m[place,LiI_discharge,0,0,2] - Cap_P_m[place,LiI_discharge,0,0,2] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0, 0, 3) : -Inf : 20*X_P_m[place,LiI_discharge,0,0,3] - Cap_P_m[place,LiI_discharge,0,0,3] : 0.0 : True\n", - " ('place', 'PEM', 0, 0, 0) : -Inf : 0*X_P_m[place,PEM,0,0,0] - Cap_P_m[place,PEM,0,0,0] : 0.0 : True\n", - " ('place', 'PEM', 0, 0, 1) : -Inf : 0*X_P_m[place,PEM,0,0,1] - Cap_P_m[place,PEM,0,0,1] : 0.0 : True\n", - " ('place', 'PEM', 0, 0, 2) : -Inf : 0*X_P_m[place,PEM,0,0,2] - Cap_P_m[place,PEM,0,0,2] : 0.0 : True\n", - " ('place', 'PEM', 0, 0, 3) : -Inf : 0*X_P_m[place,PEM,0,0,3] - Cap_P_m[place,PEM,0,0,3] : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 0) : -Inf : 20*X_P_m[place,PEM,1,0,0] - Cap_P_m[place,PEM,1,0,0] : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 1) : -Inf : 20*X_P_m[place,PEM,1,0,1] - Cap_P_m[place,PEM,1,0,1] : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 2) : -Inf : 20*X_P_m[place,PEM,1,0,2] - Cap_P_m[place,PEM,1,0,2] : 0.0 : True\n", - " ('place', 'PEM', 1, 0, 3) : -Inf : 20*X_P_m[place,PEM,1,0,3] - Cap_P_m[place,PEM,1,0,3] : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 0) : -Inf : 60*X_P_m[place,PEM,2,0,0] - Cap_P_m[place,PEM,2,0,0] : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 1) : -Inf : 60*X_P_m[place,PEM,2,0,1] - Cap_P_m[place,PEM,2,0,1] : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 2) : -Inf : 60*X_P_m[place,PEM,2,0,2] - Cap_P_m[place,PEM,2,0,2] : 0.0 : True\n", - " ('place', 'PEM', 2, 0, 3) : -Inf : 60*X_P_m[place,PEM,2,0,3] - Cap_P_m[place,PEM,2,0,3] : 0.0 : True\n", - " ('place', 'PV', 0, 0, 0) : -Inf : 0*X_P_m[place,PV,0,0,0] - Cap_P_m[place,PV,0,0,0] : 0.0 : True\n", - " ('place', 'PV', 0, 0, 1) : -Inf : 0*X_P_m[place,PV,0,0,1] - Cap_P_m[place,PV,0,0,1] : 0.0 : True\n", - " ('place', 'PV', 0, 0, 2) : -Inf : 0*X_P_m[place,PV,0,0,2] - Cap_P_m[place,PV,0,0,2] : 0.0 : True\n", - " ('place', 'PV', 0, 0, 3) : -Inf : 0*X_P_m[place,PV,0,0,3] - Cap_P_m[place,PV,0,0,3] : 0.0 : True\n", - " ('place', 'WF', 0, 0, 0) : -Inf : 0*X_P_m[place,WF,0,0,0] - Cap_P_m[place,WF,0,0,0] : 0.0 : True\n", - " ('place', 'WF', 0, 0, 1) : -Inf : 0*X_P_m[place,WF,0,0,1] - Cap_P_m[place,WF,0,0,1] : 0.0 : True\n", - " ('place', 'WF', 0, 0, 2) : -Inf : 0*X_P_m[place,WF,0,0,2] - Cap_P_m[place,WF,0,0,2] : 0.0 : True\n", - " ('place', 'WF', 0, 0, 3) : -Inf : 0*X_P_m[place,WF,0,0,3] - Cap_P_m[place,WF,0,0,3] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp.constraint_min_production_mode_facility.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "P_m : Production modes\n", - " Size=28, Index=P_m_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('place', 'LiI', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LiI', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LiI', 0, 0, 2) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LiI', 0, 0, 3) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LiI_discharge', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LiI_discharge', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LiI_discharge', 0, 0, 2) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'LiI_discharge', 0, 0, 3) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 0, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 0, 0, 2) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 0, 0, 3) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 1, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 1, 0, 1) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 1, 0, 2) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 1, 0, 3) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 2, 0, 0) : 0 : 0.044652624904555016 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 2, 0, 1) : 0 : 0.044652624904555016 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 2, 0, 2) : 0 : 0.044652624904555016 : None : False : False : NonNegativeReals\n", - " ('place', 'PEM', 2, 0, 3) : 0 : 0.044652624904555016 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0, 0, 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0, 0, 1) : 0 : 0.004961402767172773 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0, 0, 2) : 0 : 0.019845611068691118 : None : False : False : NonNegativeReals\n", - " ('place', 'PV', 0, 0, 3) : 0 : 0.00992280553434556 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0, 0, 0) : 0 : 0.044652624904555016 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0, 0, 1) : 0 : 0.03969122213738224 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0, 0, 2) : 0 : 0.024807013835863898 : None : False : False : NonNegativeReals\n", - " ('place', 'WF', 0, 0, 3) : 0 : 0.034729819370209455 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "milp.P_m.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'PEM': {0: 0, 1: 20, 2: 60},\n", - " 'LiI_discharge': {0: 20},\n", - " 'LiI': {0: 20},\n", - " 'PV': {0: 0},\n", - " 'WF': {0: 0}}}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.prod_min" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "max(case.prod_min['place']['PV'].values())\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "30" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "max(case.rate_max_dict['PEM'].values())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "# milp.constraint_production_mode_facility_capacity.pprint()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be summarized as shown below:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SUMMARY:\n", - " number of constraints: 273\n", - " number of variables: 265\n", - " number of binary variables: 85\n", - " number of integer variables: 85\n", - " number of continuous variables: 95\n" - ] - } - ], - "source": [ - "results.model_summary()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Plot results*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some handy plotting functions such as schedule can plot the production, consumption, sales, inventory schedules" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{H2, H2O, LiI_Power_stored, O2, Power, Solar, Wind}" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.resource_set" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='PEM',\n", - " location='place', fig_size=(9, 5), color='orange')" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzcAAAHtCAYAAAAk64C6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAABycklEQVR4nO3dd3QU1f//8Vd6AiSBQELoIEgVpQiCqCiCAopSBAULSFEU0c9HLBQV8GdEFFA+YqMjoKKCCAiICCi9SpGqoYkkECkJLSHJ3t8fnN1vNrubbCCQOPt8nLPnJHPn3rl37szsvHdm7vgZY4wAAAAA4F/Ov6ArAAAAAAD5geAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBoVSamqqJk6cqLZt26pcuXIKDQ1VaGioypYtq9tvv139+vXTtGnT9Ndff+Xrcnv06CE/Pz+nT2GzdOlSlzpOnTo135dTGNfFN998o7vuukslSpRQSEiIKlSooNatW2vChAkFXTW3Kleu7LIOs3+CgoJUtmxZtW/fXvPnzy/oKgP/ahMnTnTZx1asWHFZZe3fv1/Vq1dX9erVdeDAgfytKP4VCuP3IHLnZ4wxBV0JIKs//vhD7dq10969e1W+fHk98sgjqly5skJCQvT3339ryZIlWrNmjWP+6dOn67HHHsuXZa9du1bx8fFauXKlxo8fL0kqbLtIYmKili5dKkl6/PHHJUlTpkxRjx498nU5hW1dvPXWW3r99dcVHh6u5557Ttddd512796tjz76SLGxsTp48GCB1c2TuXPn6uzZs07rcPDgwapVq5akS+vz+PHj+v7777Vy5UpJUufOnTVjxgwFBwcXWL2By3Hw4EHHDy3/+c9/VLx48Wteh/j4eK1du1b//POP/vvf/0qSli9frjvvvDPPZY0aNUovv/yy4+8BAwbkZ1XxL1DYvgfhJQMUIufOnTOVK1c2kkyfPn1MWlqa2/mmTZtm/P39jSQzYcKEfK/HlClTjCRT2HcRex2nTJly1ZZRGNZFUlKSCQ4ONpLM999/75Q2cOBAU6lSpYKpmJeyrsPly5e7nWfw4MGOeZ599tlrW0EgHyxfvtyxDR84cKBA63LgwIFc97nc/PHHH6Zq1aqmatWq5o8//sjfCuJfpTB8D8J73JaGQmXatGk6ePCgIiIiNHbsWI+/Xj/xxBOOqxawvnXr1unixYuS5PIL7MCBA/Xzzz8XQK3y15tvvqlq1apJkj777DPFx8cXcI0A31atWjX9+eef+vPPPx37JoDCj+AGhcovv/wiSapdu7bCwsJynLdbt27XokooBE6ePOn4OyIiwiktMjJSVatWvdZVyncBAQF68MEHJUmZmZlasGBBAdcIAIB/H4IbFConTpyQJCUlJeU67y233KL33ntPt9xyy9WuFgqYzWYr6CpcE1mDNK7cAACQdwQ3KFRKlCgh6dIoNRs2bMhx3sjISL300kuqW7eux3mMMfriiy/UunVrlS5dWkFBQYqKilLTpk316quvauPGjV7Va8uWLerYsaNiYmIUGhqqOnXqaNSoUV6ddC9fvlydO3dW2bJlFRwcrFKlSql58+b68MMPlZaWlmPe48ePq3///qpcubJCQ0NVrlw5de3aVdu2bcsxX5MmTZxGd8l+K1diYmK+j7iWkpKiN998U/Xr11dERISKFCmiatWqqVevXrnW1xP7SDVPPvmkY1rWOleuXNklT3p6uj766CM1b95cpUqVcoyq1q1bN61evTrH5WQfEWfXrl164oknVKFCBQUGBjrSrtbgBQEBAU7tyG7BggXq0KGDypQpo5CQEMXExOjee+/VzJkz3T7k6mmEtuyjR8XFxcnPz09vvvmmV2VkZ7PZNHnyZLVo0cKxzu0jwH3//fdu25p9JDn7Nrpw4ULde++9iomJkb+/v8d+zk3WfSckJESlS5dWu3btHLcwZm9T+/bt3ZYzZ84c3XfffSpdurSCg4NVunRptW7dWp9//rkyMzNd5r/zzjvdbqPLli3TPffco6ioKBUpUkQNGzbUlClTvGpLftVh7dq16tixo8qWLauAgACX/rRfMezVq5dq166tokWLKjQ0VJUrV9ajjz7q8Zg8depU+fn56a677nJMq1KlilMdPA14kte2ZRUfH68ePXo4RtSsWLGi+vTpc8Ujmx08eNBl+xg2bJjTPMOGDXOZ5+DBg4qPj1f37t1VtmxZhYSEqFq1ahoyZIguXLhwRXXau3ev+vTpo6pVqyo0NFRFihRR7dq11bt3b82fP18ZGRke8/7zzz8aMmSIbrrpJkVERKho0aKqWbOmXnjhBR06dMhtHk/75zfffKMmTZqoWLFiKleunLp166Y///zTke/vv/9Wr169VK5cOYWFhalevXpefbdczjEkN56O6z///LMeeOABxcbGKiQkRJUqVdKzzz6rxMTEy1qO3YoVK/Tcc8+pXr16Cg8PV3BwsMqVK6eOHTtqyZIlXpVx4sQJvfbaa6pXr54iIiIUEhKiihUrql27dho3bpyOHz/uMW9iYqJefvllx75brFgx1apVS/3799f+/fuvqG3/OgX90A+Q1ejRox0P7ZUvX94sXrz4sss6ffq0ueuuu4wkU6FCBfPGG2+YCRMmmDfeeMNcf/31juU888wzLnmzPjz4008/mQoVKpjXXnvNTJo0ybz00ksmLCzMSDLPPfecx+VnZmaa5557zkgyUVFRZuDAgWbSpEkmLi7O1KpVy0gyderUMYcPH3ab//fffzcxMTFGkqlRo4Z55513zIQJE8yzzz5rihcvbhYvXuxxQIHFixeb6dOnm9tvv91IMs2bN3dKv3Dhgpk+fbqZPn16roMSePMg5datW02ZMmWMJNOqVSvz4YcfmvHjx5sePXqYwMBA4+fnZ0aNGuUxvydr1qwx06dPN0899ZSjDvZ6T58+3Xz33XdO8//111+mbt26RpKpVauWGTFihJkwYYJ5/vnnTZEiRYwk8+KLLxqbzZbrcpYvX25KlSplnnvuOTNhwgQzcOBAExoaelkPS3szoIAxxgwbNswx31tvveWYnpaWZh5++GEjyZQsWdK8+uqrZuLEiWbo0KGmQoUKRpK56667zOnTp53Kmz59unnmmWccZY4dO9ZMnz7dJCYmOs3XqFEjI8k0bNjQpU7Tp083H374oZFknn76aTN9+nSn9JMnT5pmzZo5rfNJkyaZV155xURFRRlJpnPnziY1NdUp33fffeeyjb777rumfPny5o033jDjx483jz32mJGU5wEjctp3QkNDHe2RZJ566ikzffp0s2LFCqcyUlNTTceOHR3Hj2HDhplJkyaZN954w7HOmzdvbk6dOuWUb8mSJWb69OmmQ4cOjrpPmzbNVKlSxbz11ltm4sSJ5qmnnjIBAQFGUo77RX7W4YsvvjDR0dHmlVdeMRMmTDD9+vVz1MHuP//5j5Fk/P39zcMPP2z+97//mffff99069bN+Pv7G39/fzN27FiXesbHx5vp06c7DYrx/vvvO+2ra9asyZe22a1YscIULVrUSDKNGjUyY8aMMZ999pl54oknTMmSJc1333132QMKnD171lHvUqVKGUlm6NChTvNs27bNpc3ff/+9KV++vBkwYICZNGmSef31102JEiWMJHP//ffnqQ5ZLVmyxISEhJjQ0FDTq1cv8+GHH5px48aZJ554wtGH9913n9u8y5cvd9TBfmz+5JNPzEMPPWQkmdDQUDNr1iyXfO72z7fffts0bNjQfPDBB2bUqFGO40ZMTIzZv3+/OXLkiKlXr54ZPHiw+fTTT03Pnj2Nn5+fkWTGjRvnsX2XewzJjbvj+v/+9z8TGhpqnnnmGTNhwgQzcuRIU7t2bcexdevWrW7Lyu178IMPPnCkt2nTxowZM8aMGzfO9OnTxzEYzksvvZRjfVesWOHoq5YtW5r//e9/Zty4caZv376O756QkBDz66+/uuT96aefTEREhPHz8zMPPfSQ+fTTT83HH39sOnXqZPz8/ExISIj58ssv87T+/s0IblCo/PPPP44vE/unXr16ZsyYMebQoUNel5OZmekIbOrWrevyBZmWlub4Yn3wwQdd8mc9kNWpU8fs37/fKX3GjBmOkwBPJ7qvvfaakWTKli3rEsCkpqaau+++20gyN998s0lPT3dKP3funKlSpYqRZJo0aWLOnz/vlL527VrHCUBOgUn37t3dBjdZXWlwk5CQYKKjo40k89prr7mk//jjj46R7bIHI97yJsA6d+6cI2hs2bKlyxfh1q1bTbFixYwkM2zYsFyXU61aNbNx40an9LfeeuuqBjd33HGHY761a9c6ptv7sUyZMi7b0qlTp8wNN9xgJJm7777bJXA7fPiwo8wZM2a4LPPo0aOOExA/Pz9z5MgRl3m+/PJLI8kcPHjQaXpmZqZp3ry5Y9nZ1/nhw4cdQe8LL7zgts32tpUuXdrUrl3bnDhxwim9ZcuWeQpuvNl37CfFOW339sDK3fEj6zp3d/wwxpihQ4caSSYiIsLccMMNLu0aPny4kWSKFStmzp07d9XrcN1117kcx3r37u20T/Xr18/xA0J2S5cudQQ469evd7u8vIyWdiVtS0hIMMWLFzeSTMeOHU1GRoZT+pw5cxzB7eUEN1lVqlTJbXBjl7XNlSpVMuvWrXNK/+WXXxzpv/zyS56Xn5GRYcqVK2ckmW+//dYl3X58dXeM37Vrl+NHHXfH5okTJzq+x5YtW+Z2+Vn3zxYtWjh9V6Wmppp69eoZSaZ79+7mscceM9u2bXPKHxcXZySZyMhIc+HCBZfy8+MYkpusx9+iRYs6HVuNufRjn/3YW6FCBZOSkpJjGe689957RpL5f//v/7mk7dixw3HMcdeHxhizc+dOR1+9/vrrLul79+41JUuWdPs9umPHDkfwM3HiRJe89n4OCgoyGzZscLt8qyG4QaGzZs0ax8ly9s9NN91khg4dmuuwnFkPRCtXrnQ7z99//20CAgJyDW7cnQinpaU5DiaffPKJS/q+ffscv6hNnjzZ7fJ37drlWMbMmTOd0t555x1HmqeDkf2qUEEHN48//riRZKpUqeJykmHXpUsXI136FT37ybc3vAlu7Fc9AgICTHx8vNt57Cd7nubJupwBAwa4pG/bts10797dJCUlXXb9PZ1o/fDDD4557rrrLsf0FStWOKZPnTrVbd6sJ1jTpk1zSb/pppuMJPPwww+7pH322WcmODjYEYC62567detm6tat6zJ90qRJjpOjP//8023dPv74Y8c6d3eV0r6NSjLz5893SZ81a5bbvvAkP/adn3/+2ZHu6aRv4cKFjnlWr17tkm7f1jwdAw4ePOhIX7Ro0VWvw4cffuh2Gd27d3f8369fP1OrVi23yzLm0nYgyTz22GNu070Nbq60bX379nWcrP39999u899///3XPLh54okn3M5jf73Bq6++muflb9u2zVH+mTNn3M7TrFkzt8f4O++800iXfqjxdGy2BxbVqlUzmZmZLulZ909325j9pD44ONj06dPHJf3YsWOO/EuWLHFJz49jSG6yHn/79+/vdp7t27c75nHX194EN5GRkebixYtu0+1X+G677Ta36fZ+qF69utt+MOb/jm3Zgxv71bU77rjDbT5jjGncuLGRLl298wUENyiUkpKSzH//+18THh7uNsjx8/MzHTt29Hg15+abb3b8CpOTFi1amMcff9xletYDWfZf7+3sVwlefPFFl7SXXnrJcTBOTk72uPyKFSsayfWWBXvZlStX9pg360lvQQU3J0+eNEFBQUaSefnllz0uY/LkyY4yNm3a5HE+T3L7YrHZbKZ06dJGkmnWrJnHcvbt2+co55VXXslxOdlvo7kSWcudO3euSUpKcnx27dpl3n77bcevdlWrVnU6YevcubPj5OHs2bMel2H/dbdx48YuafariMWLF3e5SnjfffeZNm3amCZNmhhJpm3btk7p6enppkSJEmbw4MEu5dr3s0aNGnms1/79+x1td3cLln0bLVKkiEvdLkd+7Dv2W3ZiYmI8BuNpaWkmMDDQSO5vT80aWHgKhu23t/7vf/+76nU4evSo2zKyOnHihDl+/LjH9DFjxhjJ822C3gY3V9K29PR0ExERYSSZO++80+Mypk6des2Dm2+++cbtPG3atDHSpatMebVly5Ycg2BjLv1yn/24unPnTke+IUOGeCx//PjxjvkWLlzokm7fPyMjI9321ffff+/IP3v2bLfLsF9lcxdg58cxJDdZj785XT2z357mbvvO7TsoOTk5x31szpw5joA8ewD0+++/O8p2d9XGbteuXaZkyZJO/ZQ170cffeQx7xtvvOE4d8rrj3P/RoECCqFSpUppzJgxiouL04IFCzR37lwtXLhQp0+fliQZYzRnzhz98ssvWr58udOgAsnJydqyZYskqUGDBjkux5v3o1x//fVup9vfvp2cnOyStnz5cklShQoVdPHiRf3zzz9uy4iJidHhw4edBjY4efKkdu/eLUmqV6+ex3rVqVMn17pfbatXr3Y8+F6lShWP7SxWrJjj740bN6phw4b5Wo+dO3fq2LFjkpRj2ddff70iIiKUkpLi6CNPatWqla91tPP04HpkZKSef/55DR8+3OnN7vZ61qxZU0WLFvVYboMGDfT3339r8+bNOnPmjMLDwx1p7dq101tvvaXTp09r5cqVjge/z58/r59//lljxozRqVOntG7dOi1btkznzp1zLGvVqlU6deqU2rVr57S8rPtZ9erVPfZ9SEiI4++cBvC4/vrrFRh4ZV9J+bXv2AdcqFmzpmMER3dKliypY8eO5diu4sWLq1SpUh7TLly44PYYkp91iIyMVJkyZTym20VFRTn9n5qaqnPnzjkGqwgKCpKkfHnwWrq8tu3YsUMpKSmSCt/x8XK+K3JTs2ZNRUVF6eTJk+rSpYteffVV9e7dW6VLl3bMc8MNN7jkW7ZsmePvnI6JWdOWL1+uNm3auJ2vatWqbgcTyXqc8dT+8PBwnT592vH9bZffxxBv5LRd1KtXT7t27dKhQ4d05MgRlS9f3utyIyIinF5TcPHiRZ09e9Yx6JC//6Xxu9LT03XixAnFxsY65s36XZTTOUutWrVc1lHWvJUqVfK4DiMjIyVdOnfatGmTWrdu7W3T/pUIblCohYWFqXPnzurcubMyMjK0ZMkSffbZZ5o/f76MMTpx4oS6d+/uOEBKl0a6sR9QypYte8V1yHrwzsr+glF3o9TYh/E9ePCgoqOjc11GUlKSjDHy8/NzGr0mpxMS+8hyBSnrcMXPPvusnn322Vzz2IOQq1WPcuXK5Thv2bJllZKSkutQy9nfp5NfRo0apZtuusnxf1BQkEqVKqWaNWs6jZYmXfryt39Z5dYue3pmZqYOHjzoFPA3atRIsbGxSkxM1Pz58x3BzZIlS5Samqp27drp1KlTGjJkiFJTU7VkyRJ16NBBkjR//nzFxMSocePGTsvLup/NnDlTM2fOzLXtOfV9fqzv/Nh3sq7zX3/91av9N6d2eTp+SJ6PIfldh7ys25UrV2rs2LH69ddfPQ7Jn9sojzm50rZlHamwsB0fL+e7IjdhYWGaMGGCHn30UZ05c0avvfaa3njjDd1+++3q0KGDYyTO7Lw9JmZNy+mYmPUHqqyyBjye5rGf2Gdvf34fQ7yR9Yej7LKux0OHDuUpuJGk7du3a/To0fr555/1999/e5wvNTXV6f+s6z2v5yxZ895///1e5bka38GFDcEN/jUCAwPVtm1btW3bVitWrNB9992n8+fP67ffftOOHTscJ3Nnz5515AkNDb3i5doPzHlhr0O1atX0ySefeJXHHtycO3fOMS2n+mc/ES4IWdf1m2++qaZNm+aa53KG9c1LPXLrc3u6/ddfTy6n373RsGFDl6G5PbmcdkmubfPz89N9992nSZMmaf78+RozZowkad68eapfv77Kly+v8uXLq1KlSjp06JDmzZvnFNzcf//9Lusja906deqkvn375toe+6+H7uTH+s6PfSdru5o1a+YyBLA79pNXd67k+HGt6/DOO+9o0KBBkqQ2bdqoffv2qlixouOK2pIlS/Tee+95VZYnV9q2wnx8vFrHjI4dO2rr1q0aNWqUvvzyS507d06//PKLfvnlFw0YMECPPPKIxowZo5iYGEceb48dOR03snJ31eZy5skqv48h3shpu8i6LrLWzRszZ85Ujx49lJGRoSZNmmjw4MGqVKmS46rTtm3b9NJLL7nNeyXnLFnzfvbZZ7ruuutyzVOzZs08LePfiOAG/0p33nmnXnjhBY0YMUKStGfPHkdwk/XXs+y/kFwr4eHhOnXqlAICAtSyZcs85c3661dO9c/tHRDeuNKXY2a/JSGvbc0veelze/qVfkleC5fTLsl929q1a6dJkybpzz//1J49e1S9enUtWLBAzzzzjGOe+++/Xx999JF++OEH2Ww2/fHHH/rjjz/07rvv5li3UqVKFVjfZ5Uf+07WdhUrVqxA2lUQddi6dasGDx4sSXruuef04Ycfusxz5MiRK17OlbbtWh4fC5MaNWpowoQJGjt2rBYsWKAvv/xSCxYsUEZGhmbOnKmNGzdq27ZtjpNjb48duR03rqaCOIZkZmZ6DHCyrgtPV6HcSUhIUJ8+fZSRkaF27dpp3rx5LvPkdMvtlZyzZM174403qkmTJnnKb1W8xBOFyqhRoxQbG6uLFy/mOm/Wndh+T7h06dkP+y9oR48ezf9KeqFatWqSLp0MZK2bNypVquT4BSwhIcHjfKdOncq1LPsB1dPtELldvciNvZ2SdPjw4SsqK7/qkVuf29OrVq16VeuUHyIiIhy37eTWLvttEAEBAapUqZJLesuWLR2/Ii5YsEBr165VUlKS07M09r+TkpK0bt06zZ8/XyEhIWrVqpVLeVn3s4Ls+6zyY9/Jus4Lql0FUYdvv/3Wcax6/vnnr9pyrrRtWa/8Xunx8d+oSJEi6tKli7777jvFx8c79s19+/Y5vRTW22Ni1tunrvUxsSCOIdmf+8kq63qqUqWK12X+8MMPjpe09u/fP891ysv3V055C8txuDAguEGhcvbsWR07dsyrt+lmvepQoUIFx9/h4eG6+eabJUmbN2/OsYynn35aXbp0yfcrPPZnGs6dO6fff//d43zr1q1TYGCg0wlmiRIlVLt2bUnSb7/95jHvrl27cq2H/V57Twf0ffv25VpGTm699VbHLSPr16/Pcd62bdsqMDDwih8IdadWrVqOBzRz6vM///zTEdBlfZt6YWav5549e3T+/HmP89mfO7v55pvd3vtftGhRtWjRQtKlW83mzZunsmXLOj1QfOeddzp+sZw3b57mzZunFi1auB3IIOt+tnHjxhyvAo4cOVKBgYEaNWpUbs29Ivm179jX+b59+3I8SZ41a5YCAwMv64QmN9e6DlnffO7pGY3cbtXx9rakK2nbDTfc4LjCcKXHx3+DAwcO6LXXXnP7/FPFihX1zTffOAZ6yPpdk/X4ltMxMevzqtf6mFgQx5Cctgv79lSlSpU8PftypfuOt321fft2PfTQQ47birPnze07uE6dOgoODvaJZ24IblAozZo1K9d5Fi9eLOnSiDqNGjVySuvXr5+kS1dOVq5c6Tb/tm3bNH78eB09ejRfns3J6umnn3Zc+p46darH+SZNmqTMzEw98sgjTtO7d+8u6dJDjZ6CgdmzZ+daj+rVq0uS9u/f7/bqzYIFC3ItIyfFixfXo48+KulSf3g6aB46dEhLlixR1apVHV9m+cnPz89xe9XatWt14MABt/N98cUXki5d3XjqqafyvR5Xg32QhrS0NI99/uuvvzp+gbVv++7Yg+jVq1dr1qxZuv/++51OSENCQnTPPfdIkr766iutWbPGZZS0rOzL+ueff/TDDz+4nScjI0PTpk2Tn5+fOnfu7LGs/JIf+459nWdmZmrGjBke55s4caLb/Tc/XOs6ZH0439OPHllPhN0pUqSI42/7KIrSpSvyNWvW1NatWyVdWdsCAwMdx5w1a9Z4/KXbm+Pjv8GhQ4cUFxenDRs2uE2PjIx0rPesD8vXqlXLceI7a9Ysj7fp2Y+J1apVc+z719K1PoZ42i527NjhGGmxR48eeSrzSvcdb/tqypQpmj17ttMAIVnzfvXVVx5/qF29erV27dql5s2bO420Z1kFNgg14Ib9vQyhoaFux9y3++KLLxzvQBg3bpxLemZmpmnRooWRZG688UaXd82cO3fONGrUyOO7A7x5aaT9pVtZX4KXlf2lksHBwebnn392Sf/mm2+Mn5+fadCggcv7PbK+Zb1p06Yub1nfsGGDKVasWK7vqNm/f7/j7fNfffWVU1p8fLypU6fOFb3nxhhjEhMTHe+Yue+++1zeMJ2SkmJuvfXWHN+DkBtv+uP8+fOOd5zcc889Ji0tzSl9+/btjvcmDR8+/LKXc6X1v5x3bvTo0cNIMuXKlTN//fWXU1pycrK58cYbjXTpDd85vST18OHDjnpI7l+ambWuknJ8aV7W/axSpUrmyJEjLukvvPCCkWSef/55t2V48y6mvPBm37G/Xyqn7d6+zosXL2527Njhkj569GgjyTzwwANu89uPZZ7eCWNM7u9QuRZ1sNu6davjWNG2bVuXY9KaNWscx1xP+8eJEyccZSxdutQx3f6el6zvb7qStiUkJDjendKpUyeXF1R+//33jvdvXe4+Z5eX99x4erfPlWzj9vKbNGnicmw1xpi5c+c63l+yefNmp7Rdu3Y53p+V04sp/f39Pa6j3OruTftzWof5cQzJTdZjWsWKFc369eud0lNTU80dd9xhpEvvxktJScmxjOwSExMd76yqV6+eOXfunFP6H3/8YSIjI3NcT7n11erVq01QUJCpUqWKyzEta96nnnrK5SWgiYmJplq1aiYwMNCl7VbFgAIoVMqWLaugoCClpqaqbdu2at68uVq2bKmyZcvKGKO//vpLS5Ys0dq1axUQEKChQ4e6/aXa399fc+bMUfv27bVixQrVrVtXPXv2VLly5XTo0CFNmzZNf/31l958802n8d63b9+u7du3a+3atY5p9l8WO3TooKJFi+qnn37SsWPHHFcp9u/frxkzZqhYsWJO7zB54403lJKSojFjxuiee+5Rt27d1KxZM50/f16//vqr5s6dq+uvv15z5sxxediwSJEijiF7165dqwYNGujJJ59UyZIl9dtvv2nKlCl67733HG1fu3atAgMDValSJd1+++2OcqpUqaJnn31WH330kXr27KnNmzerVq1aOnDggKZNm6YpU6bo7rvvdirjuuuu06233qq1a9cqPj7e7bq49dZbHaOylC5dWkuXLlXbtm31ww8/6MYbb9Tjjz+u2NhYxcfHa9q0aUpMTFRcXJw6duyYp+0hpzpk7RPp0pCpS5YsUZs2bbRkyRLVr19fTzzxhEqVKqUdO3Zo4sSJOnfunP773//q9ddfd1pOTv2evV/zYu7cuTp79qxTuT/99JPjwexWrVp59Svap59+qgsXLmjWrFmqV6+e+vTpo+uvv15HjhzRpEmTdPjwYd15552aPXt2jrcGVahQQfXq1dPWrVsVFhbm6Pus7rvvPvn7+8tms6levXpOt3xm52k/q1mzphITEzV37lxt3rxZDzzwgMugBPb9yH4L6rFjxxzrvGrVql6NvOdObvvOF198oa+++kr33ntvjuVkXeeNGzdWjx49VL9+fZ06dUo//vijli1bpiZNmrhcmbVvs9u3b5d06dZUe7see+wxSf+3XdhH/tq+fbtmzJih0qVLOz3fdDXqkH0ZdjfddJPeeOMNDR8+XAsXLlSDBg308MMPOx1zrrvuOscv09mPi9Kl9+Tcd999WrBggV566SU9/fTT2rVrlxYvXqx7773X6Vafy22bJMXGxuq7777T/fffr9mzZ6tp06bq1q2bihYt6rgqOWrUKL3wwguS/m+fq127dq7vPrOvr++++87xd9Y+sh8P9u/frzVr1jh+7bf3a6lSpRz7tb0f3G3j9m0hN0WKFFFAQIDWrVun66+/Xo899pgqV66s1NRUbdy4UV9//bX8/Pz07rvvurStVq1a+uGHH9ShQwcNHz5ca9eu1QMPPKDAwEAtW7ZMX3/9tUJDQzV16lSXERw97Z/29h87dkw//fRTju23tzX7Osy6f1/JMeRyTJgwQffee6+6deumBg0a6OTJk5o6dap27dqlkiVLav78+U639XrzPVi6dGmNGzdOffr00datW1W7dm316NFDZcuW1e7duzVhwgSVK1fO8Z6j7Ospa1917NjR0Vft2rWTn5+fNm/erOnTp6t48eKaM2eOwsLC3PZzx44dNX78eG3evFkPP/ywIiMjtWfPHk2ePFkXLlzQxIkTXYb0t6yCjq6A7E6ePGlmzpxpnn76adOkSRNTunRpExISYoKCgkzJkiXNLbfcYl5++WWze/fuXMuy2WxmxowZ5p577jHR0dEmMDDQxMTEmAcffNAsW7bMZf6sb/TO/rH/2mK/YpP94+nX0dWrV5uuXbua8uXLm+DgYBMeHm4aN25sRo4c6fILT3bHjh0zzz33nKlYsaIJDg42MTEx5r777nNcCcpeh06dOrmUkZmZad577z1Tu3ZtExISYkqVKmU6dOhgtm7d6raMRx991Bjzf7/Yufu4+7X7zJkzZsSIEaZRo0YmIiLCBAUFmfLly5uuXbuatWvX5thOT3KqQ9Y+ySotLc2MGzfO3H777aZEiRImODjYlCtXzjzyyCNm1apVbpeTU79786u3J/ZfLD198vqL8vz5882DDz5oSpcubYKCgkypUqVMq1atzPTp03O8YpPV66+/biSZdu3aeZynadOmRsr5bdlZudvPSpUqZe655x7zxRdfuM3jaT9SDldD8yL7vlOmTBnz8MMPm61btxqbzeZY1vTp03MsZ8GCBaZ9+/YmNjbWBAYGmuLFi5vbb7/dfPLJJy5XN4zJeZu187RdePp1PD/rkNvVg/nz55tWrVqZ4sWLO46Xbdu2NfPnz3e5quduHzxx4oR58sknHdtolSpVzPPPP29Onz6dL23LKj4+3nTv3t2UKVPG0cddunQxW7ZsMQcOHHCp64ABA3Isz85d3uzHA3frIvt+7c224I3Dhw+bkSNHmpYtWzraGhISYqpUqWIef/xxs27duhzzJyUlmcGDB5u6deuaokWLmrCwMFO9enXTv39/c/DgQbd5cvuey3rFxlP787J/X84xxFvZr7ps3brVPPzww6Zs2bImODjYVKhQwfTt29ccPXrUJW9evgdXrVpl2rdvb0qVKmUCAgJMVFSUadGihfn888/NsmXLvDr+Z++rkJAQU716dfOf//zHJCQk5NjO7HmDg4PNddddZ3r37m127tx52evv38jPmDwO5QQAwL9YSkqK46H0H374QW3bti3gGgG4WqZOnaonn3xSkvI8ein+nRhQAABgKdu2bdOJEyc8pv/xxx+Ov2+44YZrUSUAwDVCcAMAsJR7771XcXFxHtPtL9mrV6+eKlaseK2qBQC4BghuAACWM3XqVLfvy9q+fbvef/99SdJbb711rasFALjKGC0NAGApfn5+OnXqlBo0aKAnnnhCtWrVkr+/vzZt2qQZM2YoLS1No0eP1n333VfQVQVwlXg74ieshwEFAACWcujQIc2YMUPLli3T7t279c8//8jf319lypRR8+bN9fzzz3s1JDCAf68ePXpo2rRpbtOmTJmS55d14t+D4AYAAACAJXBbmoXYbDYdPXpU4eHhOb7IDwAAAPi3MMbozJkzKlu2rPz9cx4ygODGQo4ePZrj28QBAACAf6u//vpL5cuXz3EeghsLCQ8Pl3Sp4yMiIgq4Nr7FZrMpKSlJ0dHRuf6iAGuh730T/e676HvfRd8XnJSUFFWoUMFxrpsTghsLsd+KFhERQXBzjdlsNqWmpioiIoIDno+h730T/e676HvfRd8XPG8eu6BnAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBTSFx5swZVapUSX5+fho2bFhBVwcAAAD41/HJ4Gbx4sVq1aqVoqKiVLRoUTVo0EDjxo2TzWa7rPISEhLUt29fVaxYUSEhIapYsaL69u2ro0ePel3GwIEDdfjw4ctaPgAAAAAfDG5GjhypNm3aKDQ0VD/99JN+++03tWrVSv3791f79u2VkZGRp/J27dqlunXr6vvvv9f777+vPXv26P3339fcuXN14403ateuXbmWsWrVKn3yySeqWLHi5TYLAAAA8HmBBV2Ba2nlypUaOHCgateurTlz5igoKEjSpYDn1KlTmjBhgkaOHKkhQ4Z4VV5GRoY6deqkEydOaPXq1br11lslSVWqVFFsbKxuu+02PfTQQ9q+fbsCA92v6rS0NPXu3VtdunRRaGiopk2blj+NBQAAAHyMT125sT/L0r9/f0dgYzdgwABJ0rvvvqsLFy54Vd6XX36pPXv26JZbbnEENnbNmjVTkyZNtHv3bs2aNctjGcOHD1dSUpL+97//5aElAAAAALLzmeAmKSlJK1askCTdfffdLuk1atRQ+fLllZKSokWLFnlV5jfffOOxPElq2bKlJHkMbrZu3ar33ntP77//vmJiYrxaJgAAAAD3fCa42bRpk2w2m4KCglS1alW389SsWVOStHHjRq/KXL9+vVO+vJSXmZmpXr16qUWLFnriiSe8Wh4AAAAAz3zmmZv4+HhJUnR0tPz93cd0ZcqUcZo3J2fPntXx48clSbGxsTmWl5iYqPPnz6tIkSKOtFGjRmnv3r2aPXu2943IJi0tTWlpaY7/U1JSJEk2m+2yR37D5bHZbDLGsN59EH3vm+h330Xf+y76vuDkZZ37THBjP/EPCwvzOI89+EhOTva6vJzKzBrMJCcnO/7/448/NGzYML3zzjuqXLlyrsvyZMSIERo+fLjL9KSkJKWmpl52ucg7m82m5ORkGWM8Bs+wJvreN9Hvvou+9130fcE5c+aM1/P6THBTWBhj1Lt3b9WrV0/9+/e/orIGDRqkF1980fF/SkqKKlSooOjoaEVERFxpVZEHNptNfn5+OV4ZhDXR976Jfvdd9L3vou8LTmhoqNfz+kxwYz/Zz2kktPPnz0uSIiMjvS4vpzLt5WUt87PPPtO6deu0ZcuWK94xQkJCFBIS4jLd39+fna4A+Pn5se59FH3vm+h330Xf+y76vmDkZX37TM/YBxFISkryeN9eQkKC07w5KVasmGOEs8TExBzLi42NddySNmvWLGVkZOiWW25RsWLFnD4zZ86UJL399tuOaX379s1DKwEAAADf5TNXbho2bCh/f3+lp6crPj5e119/vcs8e/bskSQ1atTIqzIbN26sBQsWOPJ5U96MGTM8Xul59dVXNWfOHPXt21fPP/+8JHF7GQAAAOAln7lyExMTo+bNm0uSfv75Z5f0vXv36siRIwoPD1fr1q29KrNz584ey5OkpUuXOs0nSeXKlVO1atXcfsLDwyVJUVFRjmm8/wYAAADwjs8EN5I0dOhQSdK4ceOUkZHhlDZ69GhJ0ssvv+w0ytmWLVtUu3Ztde7c2SVP165dVb16da1fv15r1qxxSluzZo3WrVunGjVqqGvXrlejOQAAAACy8Kngpnnz5oqLi9POnTvVoUMHbdmyRfv27dPAgQM1YcIEtW3bVoMGDXLKM3nyZO3evVvffvuttm3b5pQWFBSk2bNnKyoqSp06ddKcOXN08OBBzZkzR506dVJUVJS+/fZbBQZ6vvvv4sWLSkxMVGJiouN2tbNnzzqmZWZm5v+KAAAAACzIp4IbSRo8eLAWLlyoCxcuqEWLFqpfv75+/PFHjR07VvPmzXMJRDp37qxSpUrpjjvuUJ06dVzKu+GGG7R9+3a1a9dOL7zwgmrUqKEXXnhB7dq10/bt23XDDTfkWJ81a9aoTJkyKlOmjL7++mtJl64i2af99ddf+dd4AAAAwML8jDGmoCuB/JGSkqLIyEglJyczEME1ZrPZdPz4ccXExDA8pI+h730T/e676HvfRd8XnLyc49IzAAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASfDK4Wbx4sVq1aqWoqCgVLVpUDRo00Lhx42Sz2S6rvISEBPXt21cVK1ZUSEiIKlasqL59++ro0aMe8yxbtky9e/dWzZo1FRYWprCwMFWvXl19+/bVvn37LrdpAAAAgM/yueBm5MiRatOmjUJDQ/XTTz/pt99+U6tWrdS/f3+1b99eGRkZeSpv165dqlu3rr7//nu9//772rNnj95//33NnTtXN954o3bt2uWS56mnntLdd9+tX3/9VUOHDtXWrVu1Zs0aPfbYY5o6dapuvPFGzZ07N59aDAAAAPiGwIKuwLW0cuVKDRw4ULVr19acOXMUFBQk6VLAc+rUKU2YMEEjR47UkCFDvCovIyNDnTp10okTJ7R69WrdeuutkqQqVaooNjZWt912mx566CFt375dgYH/t6qPHz+uiIgILVu2TOXLl3dMr1+/vqKiotS/f391795d+/fvV8mSJfNxDQAAAADW5VNXboYNGyZJ6t+/vyOwsRswYIAk6d1339WFCxe8Ku/LL7/Unj17dMsttzgCG7tmzZqpSZMm2r17t2bNmuWS995773UKbOz69Okjf39/paSkaPHixV7VAwAAAIAPBTdJSUlasWKFJOnuu+92Sa9Ro4bKly+vlJQULVq0yKsyv/nmG4/lSVLLli0lySW4mTlzpj7//HO3eUJCQlSqVClJ0smTJ72qBwAAAAAfCm42bdokm82moKAgVa1a1e08NWvWlCRt3LjRqzLXr1/vlM/b8ooWLarQ0FC3edLT03XixAlJUt26db2qBwAAAAAfeuYmPj5ekhQdHS1/f/cxXZkyZZzmzcnZs2d1/PhxSVJsbGyO5SUmJur8+fMqUqRIruX++OOPyszMVJ06ddS8efMc501LS1NaWprj/5SUFEmSzWa77JHfcHlsNpuMMax3H0Tf+yb63XfR976Lvi84eVnnPhPc2E/8w8LCPM5jDz6Sk5O9Li+nMrMGM8nJybkGNzabTe+8844CAwM1fvx4+fn55Tj/iBEjNHz4cJfpSUlJSk1NzTEv8pfNZlNycrKMMR6DZ1gTfe+b6HffRd/7Lvq+4Jw5c8breX0muPk3GDVqlFavXq0PPvjAZYACdwYNGqQXX3zR8X9KSooqVKig6OhoRUREXM2qIhubzSY/P78crwzCmuh730S/+y763nfR9wXH0+Mc7vhMcGM/2c9pJLTz589LkiIjI70uL6cy7eV5U+aXX36pgQMHavjw4XrhhRdyXb50afCBkJAQl+n+/v7sdAXAz8+Pde+j6HvfRL/7Lvred9H3BSMv69tnesY+iEBSUpLH+/YSEhKc5s1JsWLFFBMTI+nSMzU5lRcbG5vjLWnffPONunfvrri4OL3xxhu5LhsAAACAK58Jbho2bCh/f3+lp6d7HDBgz549kqRGjRp5VWbjxo2d8l1OeZ9//rm6deumUaNGadCgQV4tFwAAAIArnwluYmJiHKOP/fzzzy7pe/fu1ZEjRxQeHq7WrVt7VWbnzp09lidJS5cudZovu08++UQ9e/bUxx9/rOeff94pbfTo0Ro9erRX9QAAAADgQ8GNJA0dOlSSNG7cOGVkZDil2QOJl19+2ekWsi1btqh27drq3LmzS56uXbuqevXqWr9+vdasWeOUtmbNGq1bt041atRQ165dXeoyZswYPf/885o2bZr69Onjkr5jxw7t2LHj8hoKAAAA+CCfCm6aN2+uuLg47dy5Ux06dNCWLVu0b98+DRw4UBMmTFDbtm1dbg2bPHmydu/erW+//Vbbtm1zSgsKCtLs2bMVFRWlTp06ac6cOTp48KDmzJmjTp06KSoqSt9++60CA53HbXjnnXc0YMAAFSlSRO+//75uvvlml8+CBQuu+voAAAAArMRnRkuzGzx4sOrXr6/Ro0erRYsWSk9PV/Xq1TV27Fj169dPAQEBTvN37txZs2bNUu3atVWnTh2X8m644QZt377dMcrZ8ePHFRMTo3bt2mno0KEqV66cS56vvvpK0qWhmzdv3nx1GgoAAAD4GD9jjCnoSiB/pKSkKDIyUsnJybzn5hqz2WyOwJbhIX0Lfe+b6HffRd/7Lvq+4OTlHJeeAQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAl5Cm7efPNNnT9//mrVBQAAAAAuW56Cm+HDh+vcuXNXqy4AAAAAcNnyFNwYY9S6dWu9/vrrWr16tWw229WqFwAAAADkSZ6fuXn44Ye1a9cu3XfffSpVqpS6dOmiyZMn6+jRo1ejfgAAAADglTwHNz169NDs2bN14sQJzZ07V9dff70++ugjVahQQTfddJMGDhyoFStWKCMj42rUFwAAAADcylNwc+DAAUVHR0uSAgICdMcddyguLk6bN29WQkKCXnrpJf3111/q0qWLSpYsqQ4dOmj8+PE6fPjwVak8AAAAANjlKbipVKmS/Pz83KbFxMTo8ccf18yZM3Xs2DEtXbpUwcHBeuaZZ1SlShXVqVMnXyoMAAAAAO4E5mdhFy5c0NKlS7Vo0SItWrRIhw8fljFGkrRnz578XBQAAAAAOLni4Gbfvn1auHChFi1apF9//VUXL16UdGlkNT8/P918881q06aN2rRpc8WVBQAAAABP8hzcpKamavny5Y6A5sCBA5LkuEITFRWle+65R23bttW9997reEYHAAAAAK6mPAU3bdu21S+//KLU1FRHMOPn56eGDRs6rs40btxY/v55HoQNAAAAAK5InoKbxYsXS7oU0Nx///3q0qULV2cAAAAAFAp5usTy9ddf68knn1RsbKyWLFmiadOmafr06f+6wQIWL16sVq1aKSoqSkWLFlWDBg00btw42Wy2yyovISFBffv2VcWKFRUSEqKKFSuqb9++ub7YNC0tTXFxcapTp47CwsIUHR2t9u3ba/369ZdVDwAAAMCX5Sm4eeihhzRp0iT9/fffWr9+ve6++27NnTtXdevWVeXKldW3b199//33Onfu3NWq7xUbOXKk2rRpo9DQUP3000/67bff1KpVK/Xv31/t27fP88tHd+3apbp16+r777/X+++/rz179uj999/X3LlzdeONN2rXrl1u8509e1a33367hg0bpp49e+r333/XnDlzdOzYMTVr1kxffPFFfjQXAAAA8Bl+xv7wzBVITk7WkiVLtHjxYi1evFgnTpxQs2bNHM/hFJZ33KxcuVJ33HGHateura1btyooKMiR9tRTT2nChAl66623NGTIEK/Ky8jIUN26dbVnzx6tXr1at956qyNt9erVuu2221SrVi1t375dgYHOdwD27t1bkyZNUlxcnAYPHuyYfvr0adWoUUPJycnatWuXrrvuOq/bl5KSosjISCUnJysiIsLrfLhyNptNx48fV0xMDM+c+Rj63jfR776Lvvdd9H3Bycs5br70TGRkpDp37uy4qrNu3Tq1bNlS3377rW688UZVrFhRTz/9dH4s6ooMGzZMktS/f3+nwEaSBgwYIEl69913deHCBa/K+/LLL7Vnzx7dcsstToGNJDVr1kxNmjTR7t27NWvWLKe0Q4cOacqUKQoJCVG/fv2c0ooXL66ePXsqLS1NI0aMyEvzAAAAAJ+W72HnoUOHtH79eq1fv167d++WJB05ckQTJ07M70XlSVJSklasWCFJuvvuu13Sa9SoofLlyyslJUWLFi3yqsxvvvnGY3mS1LJlS0lyCW5mz54tm82mhg0bKjIy0mO+2bNnKzMz06u6AAAAAL4uT6OltWjRQnPmzFHx4sUd0y5evKhffvlFixYt0uLFi7V3715J//fem+DgYN12220F/hLPTZs2yWazKSgoSFWrVnU7T82aNXXkyBFt3LhRHTt2zLVM+4P/NWvW9FieJG3cuPGy8p06dUp//vmnatSokWtdAAAAAF+Xp+BmxYoVSk9PV3x8vCOYWbFiheM2LntAU6VKFbVu3VqtW7dWixYtVLRo0fyveR7Fx8dLkqKjoz3eJ1mmTBmneXNy9uxZHT9+XJIUGxubY3mJiYk6f/68ihQp4lS+p3xZp8fHx3sMbtLS0pSWlub4PyUlRdKle0Ivd+Q3XB6bzSZjDOvdB9H3vol+9130ve+i7wtOXtZ5noIbSbr55pt15MgRSf8XzISGhqp58+Zq3bq12rRpo+rVq+e12KvOfuIfFhbmcR578JGcnOx1eTmVaS/PXqb9/9zqEhAQoJCQEKWlpeVYlxEjRmj48OEu05OSkpSampprG5B/bDabkpOTZYzhIUMfQ9/7Jvrdd9H3vou+Lzhnzpzxet48Bzd//fWXJOn6669XmzZt1Lp1a915550KDQ3Na1G4QoMGDdKLL77o+D8lJUUVKlRQdHQ0o6VdYzabTX5+fjleGYQ10fe+iX73XfS976LvC05e4ow8BzfvvfeeOnbsqCpVquQ1a4Gyn+znNBLa+fPnJcntQ/6eysupTHt52cvMrS6ZmZmO281yqktISIhCQkJcpvv7+7PTFQA/Pz/WvY+i730T/e676HvfRd8XjLys7zz3zOOPP/6vC2wkOQYRSEpK8njfXkJCgtO8OSlWrJhiYmIkXXqmJqfyYmNjnW5Rs5fvKV/W6d7UBQAAAEAeg5vu3bvn+MyKJykpKerZs2ee8+Wnhg0byt/f3zEggjt79uyRJDVq1MirMhs3buyUz9vyvM1XvHhxVatWzau6AAAAAL4uT8HN559/7vULLrO6cOGCpk2blud8+SkmJkbNmzeXJP38888u6Xv37tWRI0cUHh6u1q1be1Vm586dPZYnSUuXLnWaz65Tp07y9/fX5s2b3Q4YYM/XsWNHBQQEeFUXAAAAwNfl6ZkbY4xGjRqlYsWK5WkhZ8+ezdP8V8vQoUO1fPlyjRs3Tr1791Zg4P81f/To0ZKkl19+2ekWsi1btuixxx5TnTp19OWXXzrl6dq1q+Li4rR+/XqtWbNGt956qyNtzZo1WrdunWrUqKGuXbs61aNy5crq3r27pkyZoo8//liDBg1ypJ0+fVqTJ09WcHCwBg8enO/rAAAAALCqPA8oYA8C8sIYIz8/vzzny2/NmzdXXFychgwZog4dOmj48OEqVqyYJk+erAkTJqht27ZOgYYkTZ48Wbt379bu3bs1cOBANWzY0JEWFBSk2bNnq3nz5urUqZM++ugjNWjQQFu2bFG/fv0UFRWlb7/91ikgshs7dqy2b9+uN954Q8HBwerQoYMSEhL00ksv6Z9//tHUqVN53gYAAADIgzwFN6GhoUpNTVXJkiV1ww03eJ3v4sWLWrduXZ4rdzUMHjxY9evX1+jRo9WiRQulp6erevXqGjt2rPr16+dyG1jnzp01a9Ys1a5dW3Xq1HEp74YbbtD27ds1fPhwvfDCCzp+/LhiYmLUrl07DR06VOXKlXNbj/DwcK1atUrvvfeeJk6cqCFDhqho0aJq1qyZVq1apaZNm16V9gMAAABW5Wfsb+L0wrFjxzRy5EiNHz9et956q15//XXdfvvtueZLTExUuXLllJmZeUWVRc5SUlIUGRmp5ORk3nNzjdlsNkdgy/CQvoW+9030u++i730XfV9w8nKOm6eeKV26tMaMGaMDBw6oXr16atu2re68804tW7Ysx3whISG644478rIoAAAAAMiTywo7o6Oj9e677+rAgQNq2rSpOnTooFtvvVWLFy92O3+JEiW0fPnyK6ooAAAAAOTkiq6plSpVSiNGjNDBgwd19913q2vXrmrUqJHmzZuXX/UDAAAAAK/kyw2DJUqU0P/7f/9PBw8e1H333acePXropptu0rfffpsfxQMAAABArvL1aajIyEgNGzZMK1asUEJCgh5++GH17NkzPxcBAAAAAG7la3Bz6NAhPfXUU2rcuLFOnDghY4zyMBgbAAAAAFy2fAluDh06pD59+qh69eqaNGmSLl68qOrVq2v69OmaNGlSfiwCAAAAAHKUp5d4Znfw4EHFxcXp888/V0ZGhowxqlGjhl577TV17dqVMcABAAAAXDOXFdwcPHhQb731lqZPn+4U1Lz++ut65JFHCGoAAAAAXHN5ikIOHDigXr16qUaNGpoyZYrS09NVvXp1zZgxQ7t27VK3bt3cBjanTp1SixYt8q3SAAAAAJBdnq7c1KhRQ5mZmTLGqGbNmnr99dfVtWvXXPNdvHhRv/zyy2VXEgAAAAByk6fgJiMjQ35+fipZsqQaN26sn376ST/99FOu+S5cuHDZFQQAAAAAb+T5mZsmTZooODhYhw4d8jrPxYsX87oYAAAAAMiTPAc33333nWJiYvKUJzExUeXKlcvrogAAAADAa3kaUKBSpUoKCAjI80JCQkJ0xx135DkfAAAAAHgrT1duDhw4cFkLKVGihJYvX35ZeQEAAADAG7yQBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWIJPBTdpaWmKi4tTnTp1FBYWpujoaLVv317r16+/onIXL16sVq1aKSoqSkWLFlWDBg00btw42Ww2t/OfOXNGn332mdq2bavY2FgFBQWpePHiatq0qcaMGaPU1NQrqg8AAADgi3wmuDl79qxuv/12DRs2TD179tTvv/+uOXPm6NixY2rWrJm++OKLyyp35MiRatOmjUJDQ/XTTz/pt99+U6tWrdS/f3+1b99eGRkZTvOfO3dOlSpVUt++fRUZGamvv/5ae/fu1XfffaeIiAgNGDBAjRs31vHjx/Oj2QAAAIDP8DPGmIKuxLXQu3dvTZo0SXFxcRo8eLBj+unTp1WjRg0lJydr165duu6667wuc+XKlbrjjjtUu3Ztbd26VUFBQY60p556ShMmTNBbb72lIUOGOC2vRIkS6tixo2bPnu1Uns1mU9OmTbVhwwZ169ZNM2fOzFMbU1JSFBkZqeTkZEVEROQpL66MzWbT8ePHFRMTI39/n/nNAKLvfRX97rvoe99F3xecvJzj+kTPHDp0SFOmTFFISIj69evnlFa8eHH17NlTaWlpGjFiRJ7KHTZsmCSpf//+ToGNJA0YMECS9O677+rChQsueXv16uUyzd/fX71795YkzZkzR5mZmXmqDwAAAODLfCK4mT17tmw2mxo2bKjIyEiX9JYtWzrm8zagSEpK0ooVKyRJd999t0t6jRo1VL58eaWkpGjRokWO6ZGRkTp16pRat27tttzy5ctLklJTU3X+/Hmv6gIAAADAR4Ib+4ABNWvWdJtun37q1Cn9+eefXpW5adMm2Ww2BQUFqWrVqjmWu3HjRsc0Pz8/FS9e3OPlzISEBElSpUqVFB4e7lVdAAAAAEiBBV2BayE+Pl6SFBsb6zY96/T4+HjVqFHD6zKjo6M9BiplypRxmtcbCxculCSX2+fcSUtLU1pamuP/lJQUSZfuCfU0UhuuDpvNJmMM690H0fe+iX73XfS976LvC05e1rlPBDf2k/6wsDC36QEBAQoJCVFaWpqSk5PzpUxJKlKkiCR5XebOnTs1b9481a9fX88//3yu848YMULDhw93mZ6UlMRw0teYzWZTcnKyjDE8ZOhj6HvfRL/7Lvred9H3BefMmTNez1vog5tXXnlF8+bNy3O+iRMn6rbbbrsKNbo6Lly4oCeeeELFixfX119/rZCQkFzzDBo0SC+++KLj/5SUFFWoUEHR0dGMlnaN2Ww2+fn55XglD9ZE3/sm+t130fe+i74vOKGhoV7PW+iDm6NHj2rv3r15znf27FnH3/YTfXejlklSZmam4/YudwMOuJNbmZIcAwLkVmZGRoa6dOmiAwcOaPny5apWrZpXdQgJCXEbBPn7+7PTFQA/Pz/WvY+i730T/e676HvfRd8XjLys70LfMzNmzJAxJs+frKOR2R/4T0xMdLuMrNM9DQ6QnX2+pKQkj/cB2gcHyKnM9PR0devWTRs2bNDy5ct10003ebV8AAAAAM4KfXCTHxo3bixJ2rNnj9t0+/TixYt7fdWkYcOG8vf3V3p6uscBA+zlNmrUyG16amqqOnbsqNWrV+uXX34hsAEAAACugE8EN506dZK/v782b97s9uH+pUuXSpI6duyogIAAr8qMiYlR8+bNJUk///yzS/revXt15MgRhYeHu32nzfnz53X//fdrx44dWrlypcsw1a1bt9b27du9qgsAAAAAHwluKleurO7duystLU0ff/yxU9rp06c1efJkBQcHa/DgwS554+LiVKVKFX3++ecuaUOHDpUkjRs3ThkZGU5po0ePliS9/PLLjlHT7FJSUnTvvffq8OHDWrlypa677jqXsn/88UedPHkybw0FAAAAfFihH1Agv4wdO1bbt2/XG2+8oeDgYHXo0EEJCQl66aWX9M8//2jq1Klun40ZMWKEzp07p/fee09PPPGEU1rz5s0VFxenIUOGqEOHDho+fLiKFSumyZMna8KECWrbtq0GDRrklOfMmTNq2bKlNm7cqOuuu04dOnS4qu0GAAAAfIXPBDfh4eFatWqV3nvvPU2cOFFDhgxR0aJF1axZM61atUpNmzZ1m693796aNGmSevbs6TZ98ODBql+/vkaPHq0WLVooPT1d1atX19ixY9WvXz+X29zi4+O1ceNGSdL+/fvzt5EAAACAD/MzxpiCrgTyR0pKiiIjI5WcnMx7bq4xm82m48ePKyYmhuEhfQx975vod99F3/su+r7g5OUcl54BAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIKbQmLevHny8/OTn5+fDh48WNDVAQAAAP51fCq4SUtLU1xcnOrUqaOwsDBFR0erffv2Wr9+/RWVu3jxYrVq1UpRUVEqWrSoGjRooHHjxslms3mVPzk5Wc8888wV1QEAAADwdT4T3Jw9e1a33367hg0bpp49e+r333/XnDlzdOzYMTVr1kxffPHFZZU7cuRItWnTRqGhofrpp5/022+/qVWrVurfv7/at2+vjIyMXMt46aWXFBgYeFnLBwAAAHCJzwQ3//nPf7Rx40YNHz5cAwYMUNWqVXX77bdr0aJFKlmypHr27Kn9+/fnqcyVK1dq4MCBql27tubMmaOGDRuqevXqGjlypPr06aP58+dr5MiROZaxfPlyTZo0SZ999tmVNA8AAADweT4R3Bw6dEhTpkxRSEiI+vXr55RWvHhx9ezZU2lpaRoxYkSeyh02bJgkqX///goKCnJKGzBggCTp3Xff1YULF9zmv3Dhgvr06aNHH31UrVu3ztOyAQAAADjzieBm9uzZstlsatiwoSIjI13SW7Zs6ZgvMzPTqzKTkpK0YsUKSdLdd9/tkl6jRg2VL19eKSkpWrRokdsyXn/9daWkpOiDDz7wriEAAAAAPPKJ4MY+YEDNmjXdptunnzp1Sn/++adXZW7atEk2m01BQUGqWrVqjuVu3LjRbf4PPvhAY8eOVcmSJb1aJgAAAADPfOIp9vj4eElSbGys2/Ss0+Pj41WjRg2vy4yOjpa/v/sYsUyZMk7z2qWnp6tXr15q3bq1unbtmnsDPEhLS1NaWprj/5SUFEmSzWbzeqQ25A+bzSZjDOvdB9H3vol+9130ve+i7wtOXta5TwQ39pP+sLAwt+kBAQEKCQlRWlqakpOT86VMSSpSpIgkuZT5zjvv6MCBA1qwYIFXy/JkxIgRGj58uMv0pKQkpaamXlHZyBubzabk5GQZYzwGu7Am+t430e++i773XfR9wTlz5ozX8xb64OaVV17RvHnz8pxv4sSJuu22265Cja7M7t27FRcXpzFjxqhChQpXVNagQYP04osvOv5PSUlRhQoVFB0drYiIiCutKvLAZrPJz88vxyt5sCb63jfR776Lvvdd9H3BCQ0N9XreQh/cHD16VHv37s1zvrNnzzr+tp/oexq1LDMz03F7l7sBB9zJrUxJOn/+vFOZNptNvXr1UqNGjfLlpZ0hISEKCQlxme7v789OVwD8/PxY9z6KvvdN9Lvvou99F31fMPKyvgt9z8yYMUPGmDx/sg6tbH/gPzEx0e0ysk73NDhAdvb5kpKSPN4HmJCQ4DTvX3/9pbVr12rDhg0KDw9XsWLFnD52derUcUxbuXKlV/UBAAAAfF2hv3KTHxo3bqyvv/5ae/bscZtun168eHFVq1bNqzIbNmwof39/paenKz4+Xtdff73Hchs1aiRJKleunP744w+PZdrLWLhwocqVK+fIAwAAACB3PhHcdOrUSa+88oo2b96s5ORkl1vPli5dKknq2LGjAgICvCozJiZGzZs31/Lly/Xzzz+7BDd79+7VkSNHFB4e7riKFBgY6FXwVKlSJVWuXNmregAAAAC4pNDflpYfKleurO7duystLU0ff/yxU9rp06c1efJkBQcHa/DgwS554+LiVKVKFX3++ecuaUOHDpUkjRs3ThkZGU5po0ePliS9/PLLjlHTAAAAAFw9PhHcSNLYsWPVsGFDvfHGGxo9erT279+v1atXq02bNvrnn380ceJEt8/bjBgxQgcPHtR7773nkta8eXPFxcVp586d6tChg7Zs2aJ9+/Zp4MCBmjBhgtq2batBgwblWK/k5GQlJiY6PfeTlJSkxMREnTx58sobDgAAAPgInwluwsPDtWrVKr3xxhuaOHGiateurQceeEDR0dFatWqVHn/8cbf5evfurWLFiqlnz55u0wcPHqyFCxfqwoULatGiherXr68ff/xRY8eO1bx58xQYmPOdfy+88ILKlCnjeOGndOkZoTJlyqhjx46X32AAAADAx/gZY0xBVwL5IyUlRZGRkUpOTuY9N9eYzWbT8ePHFRMTw/CQPoa+9030u++i730XfV9w8nKOS88AAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAAAGAJBDcAAAAALIHgBgAAAIAlENwAAAAAsASCGwAAAACWQHADAAAAwBIIbgAAAABYAsENAAAAAEsguAEAAABgCQQ3AAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJYQWNAVQP4xxkiSUlJSCrgmvsdms+nMmTMKDQ2Vvz+/GfgS+t430e++i773XfR9wbGf29rPdXNCcGMhZ86ckSRVqFChgGsCAAAA5K8zZ84oMjIyx3n8jDchEP4VbDabjh49qvDwcPn5+RV0dXxKSkqKKlSooL/++ksREREFXR1cQ/S9b6LffRd977vo+4JjjNGZM2dUtmzZXK+aceXGQvz9/VW+fPmCroZPi4iI4IDno+h730S/+y763nfR9wUjtys2dtwwCAAAAMASCG4AAAAAWALBDZAPQkJCNHToUIWEhBR0VXCN0fe+iX73XfS976Lv/x0YUAAAAACAJXDlBgAAAIAlENwAAAAAsASCGwAAAACWQHAD/MvMmzdPfn5+8vPz08GDBwu6OgAAIA/OnDmjSpUqyc/PT8OGDSvo6lgOwQ3gRlpamuLi4lSnTh2FhYUpOjpa7du31/r166+o3MWLF6tVq1aKiopS0aJF1aBBA40bN042m82r/MnJyXrmmWeuqA7IWWHp+zNnzuizzz5T27ZtFRsbq6CgIBUvXlxNmzbVmDFjlJqaekX18UVXuv9ll5CQoL59+6pixYoKCQlRxYoV1bdvXx09ejTHfFdrG4NnhaHvly1bpt69e6tmzZoKCwtTWFiYqlevrr59+2rfvn2X2zTkojD0fXYDBw7U4cOHL2v58IIB4OTMmTOmUaNGJjAw0IwaNcr8+eef5tdffzVNmjQxAQEBZubMmZdV7jvvvGMkmfvvv99s2rTJ7N2717zyyitGkmnXrp1JT0/PtYzevXubihUrGklGkjlw4MBl1QXuFZa+P3v2rClRooSRZB555BHzyy+/mPj4eLNs2TJzzz33GEmmbt265tixY/nRbJ+QH/tfVjt37jQlS5Y0sbGx5ttvvzX79+833377rSldurQpWbKk2blzp9t8V2sbg2eFoe/79OljJJnrr7/efPHFF2bPnj1my5YtZvjw4SYkJMSEhISY7777Lp9aDLvC0PfZrVy50vj5+Tm+y4cOHXqZrYMnBDdANr169TKSTFxcnNP0U6dOmZiYGBMSEmLi4+PzVOavv/5qJJnatWubixcvOqXZv/TeeuutHMtYtmyZ8fPzM4sWLSK4uUoKS9+fOnXKSDIdO3Z0KS8zM9M0btzYSDLdunXLU118VX7sf1mlp6ebmjVrGklm9erVTmmrVq0ykkytWrXcnjhdjW0MnhWWvn/wwQdNRESE+euvv1zK/PDDD40kExERYf755588tA45KSx9n1VqaqqpUaOGefjhh0337t0Jbq4Sghsgi4MHDxp/f38TEhJiTp8+7ZI+cOBAI8n07t07T+W2aNHCSDKffPKJS9qePXscX2znz593m//8+fOmatWq5rHHHjPGGIKbq6Aw9b09uPnhhx/cljl+/HgjyYSGhpqMjIw81ccXXen+l93nn39uJJlbbrnFbXqTJk2MJDNjxgyn6VdrG4NnhaXvH3zwQdO5c2e3eVJTU42/v7/bfLh8haXvsxo0aJCJiooyx44dI7i5injmBshi9uzZstlsatiwoSIjI13SW7Zs6ZgvMzPTqzKTkpK0YsUKSdLdd9/tkl6jRg2VL19eKSkpWrRokdsyXn/9daWkpOiDDz7wriHIs8LU95GRkTp16pRat27tttzy5ctLklJTU3X+/Hmv6uKr8mP/y+6bb77xWJ70f9vKrFmznKZfjW0MnhWmvp85c6Y+//xzt3lCQkJUqlQpSdLJkye9qgdyVpj63m7r1q1677339P777ysmJsarZeLyENwAWdgf6K1Zs6bbdPv0U6dO6c8///SqzE2bNslmsykoKEhVq1bNsdyNGze6zf/BBx9o7NixKlmypFfLRN4Vpr738/NT8eLF5e/v/hCdkJAgSapUqZLCw8O9qouvutL9zx1vt5Xs5V2NbQyeFaa+L1q0qEJDQ93mSU9P14kTJyRJdevW9aoeyFlh6ntJyszMVK9evdSiRQs98cQTXi0Pl4/gBsgiPj5ekhQbG+s2Pet0+7zelhkdHe3xZLVMmTJuy0xPT1evXr3UunVrde3a1avl4fIUtr7PycKFCyVJ/fr18zqPr8rvPjh79qyOHz8uyfO2Yi8vMTHR6cra1djG4Flh6vuc/Pjjj8rMzFSdOnXUvHlzr/IgZ4Wt70eNGqW9e/fqs88+864BuCIEN0AWKSkpkqSwsDC36QEBAQoJCZF0aVjm/ChTkooUKeK2zHfeeUcHDhzQJ5984tWycPkKW997snPnTs2bN0/169fX888/71UeX5bffWAvL6cy7eVlL/NqbGPwrDD1vSc2m03vvPOOAgMDNX78ePn5+eWaB7krTH3/xx9/aNiwYYqLi1PlypVzXRauXGBBVwDIL6+88ormzZuX53wTJ07UbbfddhVqdGV2796tuLg4jRkzRhUqVCjo6hRqVut7Ty5cuKAnnnhCxYsX19dff+04EQbw7zRq1CitXr1aH3zwgW699daCrg7ymTFGvXv3Vr169dS/f/+Cro7PILiBZRw9elR79+7Nc76zZ886/o6IiJB06STSnczMTKWlpUmS2weC3cmtTEmOS9j2Mm02m3r16qVGjRrx0k4vWKnvPcnIyFCXLl104MABLV++XNWqVfOqDr4uP/sga3k5lZn1lpSsZV6NbQyeFaa+d+fLL7/UwIEDNXz4cL3wwgu5Lh/eKyx9/9lnn2ndunXasmWLx9vjkP9Y07CMGTNmyFwa3jxPn6wjUtkfPExMTHS7jKzTPT2kmJ19vqSkJI9vRLY/IG6f96+//tLatWu1YcMGhYeHq1ixYk4fuzp16jimrVy50qv6WJGV+t6d9PR0devWTRs2bNDy5ct10003ebV85F8f2BUrVswx0pGnbcVeXmxsrNOtKldjG4Nnhanvs/vmm2/UvXt3xcXF6Y033sh12cibwtL3s2bNUkZGhm655RaX7/GZM2dKkt5++23HtL59++ahlfCE4AbIonHjxpKkPXv2uE23Ty9evLjXv5w3bNhQ/v7+Sk9P9/jgor3cRo0aSZLKlSunP/74Qzt37tTWrVtdPnYLFy50TLv55pu9qg/cKyx9n11qaqo6duyo1atX65dffiGwyaP86IPsvN1Wspd3NbYxeFaY+j6rzz//XN26ddOoUaM0aNAgr5aLvCksfT9jxgzt3bvX7ff4Aw88IEnq27evY9qbb77pXQORs2v0Ph3gX+HAgQNevWSvZ8+eeSr3rrvuyvVlYuHh4ebcuXNelSde4pnvCmPfnzt3ztx9992mUqVKbt9af++995pt27blqT6+KL/3v2nTpnn1Mr/PP//cafrV2sbgWWHpe7uPP/7YBAQEmPHjx7ukjRo1yowaNcqreiB3ha3vs+MlnlcPwQ2QzZNPPmkkmbfffttp+qlTp0xMTIwJDg42f/75p0u+t956y1SuXNlMmzbNJW3FihVGkqlTp45JT093SuvTp4+RZN58802v60hwc3UUpr5PTk42t912m7n++uvN4cOH3dZXklm+fHkeWuibLqcPNm/ebGrVqmUeeughlzwXL1401atXN5LM6tWrndJWr15tJJkaNWq45DPm8rcxXJ7C1PejR482gYGBHt9g3717d9O9e/fLaCXcKUx97w7BzdVDcANkk5KSYho2bGgCAwPNqFGjTHx8vFm1apVp0qSJ8ff39/irTNGiRY0kc8MNN7hNj4uLM5LM/fffbzZv3mz27t1rXn31VSPJtG3bNtcD4unTp01CQoJJSEhwBDcbNmwwCQkJ5sSJE1fcbhSevk9JSTGNGjUyksx1111nGjZs6PZDcOO9vPZBv379HPvZpk2bXMrbsWOHiYqKMrGxsWb27NnmwIEDZvbs2SY2NtZERUWZHTt2uK3H5W5juHyFoe9HjBhhJJmIiAiP+3PJkiUJbvJZYej7rNLS0hzf4126dDGSzIABAxzTMjIy8rX9vorgBnDjwoUL5s033zQ1a9Y0ISEhJioqyrRr186sWbPGY54XXnjBFCtWzIwZM8bjPAsXLjR33323iYyMNEWKFDH16tUzY8eO9eqAZv+Vx92nefPml9NMuFEY+v63337z2NfZPwQ33stLH6xYscKUKlXK3HHHHebChQtuyzty5Ijp06ePKV++vAkODjbly5c3ffr0MUeOHMmxHpezjeHKFHTf33TTTV7tzwQ3+a+g+z6r5cuX59j/3I2RP/yMMSbHh3IAAAAA4F+A0dIAAAAAWALBDQAAAABLILgBAAAAYAkENwAAAAAsgeAGAAAAgCUQ3AAAAACwBIIbAAAAAJZAcAMAAADAEghuAAAAAFgCwQ0AAAAASyC4AQAf8tZbb8nPz8/xmTp1aoHUIzU11akelStXzpdyhw0bVijaBwAoGAQ3AFBInDx5UsOGDVOjRo0UGRmp4OBglSlTRg0aNNDjjz+uzz77THv27LmiZfz3v/9VQkKCunTpkk+1vjyhoaFKSEjQhg0b8rXcl156Kdf2xcXFKSoqSsuWLcvXZeengwcPOgVpWT8rVqxwmjd7QJffAaO3li5dqqioKI0YMeKaLhcAsiK4AYBCYNeuXapTp47GjBmjdu3aaenSpYqPj9eyZcv0n//8R5s2bVLfvn310EMPXdFyihYtqtjYWIWFheVTzS9fbGysoqOj87XMYsWK5dq+L774QqdOndKcOXPyddn5qUKFCi7B34YNG5SQkKBbb73VaV57QDdgwABJUtOmTZWQkKCNGzde0zp/9913OnXqlGbOnHlNlwsAWQUWdAUAAFKfPn2UmJior776Sg8//LBTWq1atXTPPfeofv36BVQ7a3n55Zf16aef6sknnyzoqngUEBCg2NhYpaamOqZFR0crNjbWZd5ixYo5PpIUHBzsdr6rrWfPntq8ebOefvrpa75sALAjuAGAApacnKw1a9ZIktq0aeN2ntjYWD388MNaunTptayaJfXo0UM9evQo6GpYTsOGDbVu3bqCrgYAH8dtaQBQwGw2m+Pvv//+2+N8r7/+umbPnu027fz583r77bdVr149FS1aVGFhYapZs6aefPJJLVy40GkZ2a1atUp33XWXwsPDFRERofvvv1979+71OP/Bgwf11FNPqVKlSgoODlZ0dLTatm2rH3/80WOebdu26cEHH1SJEiVUtGhR3XzzzZo2bZrH+UuVKuXx2ZEePXo4PVty8OBBj+VktWLFCqd8WQOcVatWuaQdOXJE3bp1U6lSpRQWFqabb75ZCxcuzHG9PPbYY4qJiVFoaKiqV6+u119/XefPny/QZ2GyOnnypAYNGqTatWsrLCxMkZGRatasmSZOnKjMzEyneXv37u3yrM+iRYvUvHlzRUZGOk3PqX2engnK+omJiXGp65EjR/Tcc8+patWqCg0NVVRUlFq2bOl2H2jZsqXLNjFp0iTdeOONCg0NVenSpfX000/rzJkz+bo+ARRCBgBQ4MqWLWskmebNm5vExMQ85T127Ji58cYbTVBQkHn77bfN3r17zc6dO83//vc/ExERYSSZuXPnOuXp3r27kWSefPJJc++995r169ebvXv3mnfffdcEBASYcuXKmTNnzrgsa+XKlSYyMtJER0ebGTNmmH379pmffvrJNGnSxEgy77zzjkue5cuXm7CwMFOiRAkzZcoUc+DAAbNx40bTuXNn06tXLyPJVKpUyaVNGzZscJt2+vRpk5CQYMqXL28kmQMHDrgs096+KVOmOKalpaWZhIQE88EHHxhJpnv37o60ixcvOqXdd999plmzZmbBggVm//795ptvvjFRUVEmICDAbNy40WV5O3fuNCVLljQhISHm/fffN/Hx8Wb79u3m2WefNXfeeaeRZCSZhIQEc/z4cddO9ODAgQOOvO7amdXQoUMd25A7+/btMxUrVjTFihUzH330kYmPjzfbtm0zzz77rJFk2rZta9LS0hzzJycnm4SEBNO0aVMjyfTt29e0aNHCrFy50uzfv9/8v//3/4wks3z5cpOQkOCxv4YOHWq6dOliEhISnD579+41sbGxbrebNWvWmBIlSpjSpUubmTNnmgMHDpgNGzaYhx56yEgyffr0cZr/5MmTTtvEU089ZZ5//nmza9cu89tvv5nHHnvMSDIPPvigt6sewL8UwQ0AFAKffvqp4yQ2LCzMPProo2b27NkmJSUl17xt2rQxksy7777rkvbFF18YSea7775zmm4/+S9RooQ5e/asU1rHjh2NJDN9+nSn6adOnTKlS5c2kszatWud0i5cuGDKlClj/P39zYYNGxzTz58/b8qVK2ckme+//94pT2Zmpqlfv77bE2Jj/u/E3l2aMcZUqlQpT8GN3ZQpU1yCm+xpkszq1aud0saOHWskmV69ernka9CggZFkxo4d65L24IMPOsrMq/wKbjIyMkzdunWNJPPll1+6pD/66KNGknn55Zdd0po3b24kmXLlypkLFy44pVWvXt2xnjz119ChQ92u665duxpJpmXLlsZmszmmnz592pQpU8ZIMmvWrHHKk5mZaW6//XYjyXz00UcuZdq3iVatWjlNT09PN9HR0UaSOXz4sEs+ANbBbWkAUAg8/fTT+uijjxQVFaULFy5o5syZ6tSpk0qWLKkWLVro448/VkpKiku+LVu2aNGiRQoKClLfvn1d0h966CGVLVtWQUFBbpfbpUsXFS1a1GnaLbfcIknaunWr0/RJkybp2LFjatq0qZo0aeKUFhoaqh49eshms+njjz92TP/222/1999/q1y5cnrggQec8vj7+6tfv36eV0oBqlGjhsuoZJ7Wy8qVK7VlyxYFBwerV69eLmX1798/X+pUp04dp8EDsn/efvttj3m///577dixw/HsVnb//e9/JUkffvihTp065baMPn36KDQ01Gna3r17XdZTdk899ZSGDRvmNG3KlCn68ssvFR0drenTp8vPz8+RNmnSJCUkJKhx48Zq2rSpUz5/f3+98MILki69s8nT7ZY9e/Z0+j8wMFANGzaUdOkWSQDWRXADAIXEs88+q7/++kszZszQQw89pOLFiys9PV3Lly9Xv379VLVqVc2fP98pz5IlSyRJNWvWVHh4uEuZQUFB+vvvv3Xfffe5XWa1atVcpkVFRUmSy0mufVk333yz27Kuu+46SdLq1asd03755RdJcpxYZlerVi230wtaXtaLvY01a9Z0CRSl/GvjwoULtXXrVo8fd8GtXda+yxpI2NWrV0/BwcFKTU3Vr7/+6raMy21H2bJlnZ7D2bdvn/r37+94yWr2kd3sdW3cuLHb8uzTExIStGPHDrfz5KX/AFgLo6UBQCFSpEgRPfroo3r00UeVmZmp1atX66uvvtK0adP0zz//6JFHHtGuXbtUqVIlSdKhQ4ck6bLfF1OyZEmXaYGBl74asj9gfvjwYUnSZ599psmTJ7vks8+fdVCEI0eO5Fi/ghiy2Bvu1ov96lf29XKt2lipUqUcByOwn7y7Y99O3D24L10aerpkyZJKSEhwzJtdfryT6OLFi3rkkUd07tw5/ec//1Hbtm3zXNfSpUs7zXvTTTe5zJOX/gNgLQQ3AFBIBQQE6I477tAdd9yhl156STfffLNOnTqlL7/8UgMHDsyXZbj7FT83/fr107PPPpunMo0xeV5Obq5GmXaXs16uZn0Kg8tZJ9m98sor+u2331S/fn2NHDkyH2rlXn7UFcC/E7elAUAh8Pbbb2v9+vUe06+77jo98sgjkuQ09LH9Ck5SUtJVrV/WZRljVK1aNY+fqlWrOvKUL18+x/olJiZ6XF5AQIAkz7+0//PPP5fVjvx2JW28Vux9d+zYMbfpmZmZOnHihNO8+e2HH37Q2LFjVbRoUX311VcKDg6+rLpmnX616grg34vgBgAKgfHjx+f4DhVJjoe5s94edM8990iS9uzZ4/YdHhcuXFDr1q01fvz4K66jfVkbNmxwm26MUatWrfTSSy85pjVv3lyStHnzZrd5du/e7XF5kZGRktw/I5GQkKDz5897V/GrzN7GvXv36uzZsy7pObXxWrH33caNG90+hL9161ZdvHhRoaGhuuOOO/J9+UePHnW8V+jDDz9U9erVndKnTp3qWHf2unoK9u3bX5kyZVS3bt18ryuAfzeCGwAoJD7//HMlJye7TTt79qy+++47+fn5qUOHDo7pDRo0UJs2bZSenq5PP/3UJd/UqVP1448/qn79+ldcv169eik2NlZr167VmjVrXNJnzpyppUuX6s4773RMe+ihh1SuXDkdPXpU8+bNc5rfZrPpo48+8ri8iIgIValSRefOndOePXuc0tw981NQbr/9djVo0EAXL150W68PP/ywAGrl7MEHH9QNN9yg48eP68svv3RJf//99yVJzz33nEqUKJGvy7bZbHr88ccdz4w9+eSTLvM8+eSTjitx9u1s06ZNWrVqlUtZY8eOlSQNGTJE/v6cxgBwxlEBAAoB+1vVmzRpoilTpmjXrl06cuSItmzZovHjx+vmm2/WwYMHNWzYMDVo0MAp79SpU1W3bl0NGTJEI0eO1B9//KFdu3bpvffe04svvqhXX31VjRo1knTpSk5iYqIuXLggSUpOTlZiYqIyMzOVmZmpxMRER4CVfd7IyEjNmTNHkZGRevDBBzVp0iTt379fv//+u95++2316dNH/fv31/333++oW1hYmGbMmKGwsDD16NFD06ZN06FDh7R582Y98sgjioiIkCTHsk+ePOnUNvuzPT169NDq1at18OBBffLJJ9qyZYsqVqwo6dLtYPZbv86ePeu2fRcuXNDFixfdtu/s2bO5tj0pKclx21n2eSVp+vTpKlmypF599VWNHTvWsV6ee+65HB/098S+jKy3utnbefHiRad57W22X/mwtzNr3oCAAM2ePVsVKlRwDDu+f/9+7dixQ/369dPMmTPVtm1bxcXFuZRrX97Jkydd2m2XdXnZ+/Kdd97RsmXLVKJECfXv31+///67yycr+3ZWokQJderUSTNnztShQ4e0adMmPfLII1q5cqV69+7tNIx41u3Yvq7s9clpmwdgQQX6lh0AgDHGmKNHj5pPP/3UdO3a1dSpU8dEREQYf39/U6RIEVO9enXzxBNPmFWrVnnMf/bsWfPWW2+ZunXrmrCwMBMVFWVuvfVW89VXXzm9IDHrSyqzfg4cOOD0wsisn+wvwjx8+LB59tlnTeXKlU1wcLCJjY01d955p/nmm2+clpXV1q1bTbt27UxkZKQJDQ01tWvXNu+8847Zt2+f07JuueUWp3w2m82MHDnSXHfddSYoKMiUL1/evPrqqyY1NdXxwkb7Jz093fEiS3dtWL58udu0oUOH5tr27MuSm5eA7t+/33Tr1s2ULFnShISEmJo1a5p3333XpKenG0nGz8/P6+3BU30kmeXLlzvN66nN7l5+euLECTNw4EBTo0YNExISYsLDw03Tpk3N+PHjTUZGhlflunshp7v57C8TrVy5sse2ZN8Gszp8+LDp16+fqVKligkODjbFixc3LVq0MN98843L8u0vbXXX/py2eQDW42eMxYd3AQCgAJ05c0YREREqUaKEy5UpAED+4rY0AACu0KpVq7R48WK3abt27ZIkt+9jAQDkL4IbAACu0NKlS/XCCy8oPT3dJc0+Up27B+kBAPmL4AYAgHywb98+dezYUStXrtThw4e1ZcsW9evXT5MnT9Yjjzyixx9/vKCrCACWxzM3AABcocOHD2vGjBlauHChDh48qKSkJIWGhurGG2/Uk08+qSeffFJ+fn4FXU0AsDyCGwAAAACWwG1pAAAAACyB4AYAAACAJRDcAAAAALAEghsAAAAAlkBwAwAAAMASCG4AAAAAWALBDQAAAABLILgBAAAAYAn/H0d6NcXxa5oBAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='PV',\n", - " location='place', fig_size=(9, 5), color='orange')\n", - "plot_results.schedule(results=results, y_axis='P', component='WF',\n", - " location='place', fig_size=(9, 5), color='blue')\n", - "plot_results.schedule(results=results, y_axis='P', component='LiI',\n", - " location='place', fig_size=(9, 5), color='green')\n", - "plot_results.schedule(results=results, y_axis='P', component='LiI_discharge',\n", - " location='place', fig_size=(9, 5), color='green')\n", - "plot_results.schedule(results=results, y_axis='Inv', component='Power',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All inputs are stored in results.component\n", - "\n", - "All outputs are stored in results.output\n", - "\n", - "Values can be accessed as shown below" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiparmetric/mpLP.ipynb b/examples/multiparmetric/mpLP.ipynb deleted file mode 100644 index b039fd73..00000000 --- a/examples/multiparmetric/mpLP.ipynb +++ /dev/null @@ -1,675 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# mpLP reformulation of an energy systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems linear program (LP) is reformulated as a mulitparametric linear program (mpLP):\n", - "\n", - "The following technologies are available:\n", - "\n", - "- Alkaline Water Electrolysis (AWE)\n", - "- Solar Photovoltaic Panels (PV) [with uncertain capacity]\n", - "- Wind Farms (WF) [with uncertain capacity]\n", - "- Lithium Ion Batteries (LiI)\n", - "\n", - "A process for LiI discharge is generated implicitly\n", - "\n", - "The processes utilize the following resources:\n", - "\n", - "- Solar \n", - "- Wind\n", - "- Water (H2O) [with uncertain availability]\n", - "- Hydrogen (H2) [with uncertain demand]\n", - "- Oxygen (O2) [with certain demand]\n", - "- Power \n", - "\n", - "The goal is to meet an uncertain demand for hydrogen with uncertain water availability and uncertain power generation through PVs and WFs\n", - "\n", - "The solution to the mpLP provides critical regions within which the optimal objectives can be calculated. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# LP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP (general)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.components.result import Result\n", - "# import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True, varying=[VaryingResource.UNCERTAIN_DEMAND])\n", - "\n", - "O2 = Resource(name='O2', basis='tons', label='Oxygen', sell= True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=100, price=0.001, basis='tons', label='Water', varying=[VaryingResource.UNCERTAIN_AVAILABILITY])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, capex=1302, fopex=0, vopex=0, prod_max=50,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, capex=990, fopex=0, vopex=0,\n", - " prod_max=100, label='Wind mill array', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY])\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, capex=567, fopex=0, vopex=0,\n", - " prod_max=100, label='Solar PV', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY])\n", - "\n", - "AWE = Process(name='AWE', conversion={Power: -1, H2: 0.019, O2: 0.7632, H2O: -0.1753}, capex=1.1*10**6, fopex=0,\n", - " vopex=0, prod_max=100)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare location\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "region = Location(name='region', processes={\n", - " LiI, PV, WF, AWE}, scales=scales, label='some region')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "example = Scenario(name='example', demand={region: {H2: 50, O2: 0}}, network=region, scales=scales, label='example scenario')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Formulate LP" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.COST)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Formulate mpLP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The model can be formulates as an mpLP using the formulate function, and specifying the scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 2\n", - "Uncertain resource availability (A) x 1\n", - "Exact resource price (Cf) x 2\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 3\n", - "Uncertain process production (P) x 2\n", - " For a total of 11 (7 fixed, and 4 uncertain)\n" - ] - }, - { - "ename": "ValueError", - "evalue": "Length mismatch: Expected axis has 10 elements, new values have 11 elements", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[10], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m mplp \u001b[39m=\u001b[39m formulate(scenario\u001b[39m=\u001b[39;49mexample, model_class\u001b[39m=\u001b[39;49mModelClass\u001b[39m.\u001b[39;49mMPLP)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\multiparmetric\\../../src\\energiapy\\model\\formulate.py:804\u001b[0m, in \u001b[0;36mformulate\u001b[1;34m(scenario, constraints, objective, write_lpfile, gwp, land_restriction, gwp_reduction_pct, model_class, objective_resource, inventory_zero, demand_sign)\u001b[0m\n\u001b[0;32m 801\u001b[0m \u001b[39mreturn\u001b[39;00m instance\n\u001b[0;32m 803\u001b[0m \u001b[39mif\u001b[39;00m model_class \u001b[39mis\u001b[39;00m ModelClass\u001b[39m.\u001b[39mMPLP:\n\u001b[1;32m--> 804\u001b[0m A, b, c, H, CRa, CRb, F, no_eq_cons \u001b[39m=\u001b[39m scenario\u001b[39m.\u001b[39;49mmatrix_form()\n\u001b[0;32m 806\u001b[0m matrix_dict \u001b[39m=\u001b[39m {\u001b[39m'\u001b[39m\u001b[39mA\u001b[39m\u001b[39m'\u001b[39m: A, \u001b[39m'\u001b[39m\u001b[39mb\u001b[39m\u001b[39m'\u001b[39m: b, \u001b[39m'\u001b[39m\u001b[39mc\u001b[39m\u001b[39m'\u001b[39m: c,\n\u001b[0;32m 807\u001b[0m \u001b[39m'\u001b[39m\u001b[39mH\u001b[39m\u001b[39m'\u001b[39m: H, \u001b[39m'\u001b[39m\u001b[39mCRa\u001b[39m\u001b[39m'\u001b[39m: CRa, \u001b[39m'\u001b[39m\u001b[39mCRb\u001b[39m\u001b[39m'\u001b[39m: CRb, \u001b[39m'\u001b[39m\u001b[39mF\u001b[39m\u001b[39m'\u001b[39m: F, \u001b[39m'\u001b[39m\u001b[39mno_eq_cons\u001b[39m\u001b[39m'\u001b[39m: no_eq_cons}\n\u001b[0;32m 809\u001b[0m \u001b[39mreturn\u001b[39;00m matrix_dict\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\multiparmetric\\../../src\\energiapy\\components\\scenario.py:672\u001b[0m, in \u001b[0;36mScenario.matrix_form\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 669\u001b[0m c \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mblock([[i] \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m c_list \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(i) \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m])\n\u001b[0;32m 671\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mc_df \u001b[39m=\u001b[39m DataFrame(c)\n\u001b[1;32m--> 672\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mc_df\u001b[39m.\u001b[39;49mindex \u001b[39m=\u001b[39m column_list_vars\n\u001b[0;32m 673\u001b[0m \u001b[39m# *-------------------------------------H----------------------------------------\u001b[39;00m\n\u001b[0;32m 675\u001b[0m H \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mzeros((A\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m], F\u001b[39m.\u001b[39mshape[\u001b[39m1\u001b[39m]))\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pandas\\core\\generic.py:6002\u001b[0m, in \u001b[0;36mNDFrame.__setattr__\u001b[1;34m(self, name, value)\u001b[0m\n\u001b[0;32m 6000\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 6001\u001b[0m \u001b[39mobject\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__getattribute__\u001b[39m(\u001b[39mself\u001b[39m, name)\n\u001b[1;32m-> 6002\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mobject\u001b[39;49m\u001b[39m.\u001b[39;49m\u001b[39m__setattr__\u001b[39;49m(\u001b[39mself\u001b[39;49m, name, value)\n\u001b[0;32m 6003\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mAttributeError\u001b[39;00m:\n\u001b[0;32m 6004\u001b[0m \u001b[39mpass\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pandas\\_libs\\properties.pyx:69\u001b[0m, in \u001b[0;36mpandas._libs.properties.AxisProperty.__set__\u001b[1;34m()\u001b[0m\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pandas\\core\\generic.py:730\u001b[0m, in \u001b[0;36mNDFrame._set_axis\u001b[1;34m(self, axis, labels)\u001b[0m\n\u001b[0;32m 725\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 726\u001b[0m \u001b[39mThis is called from the cython code when we set the `index` attribute\u001b[39;00m\n\u001b[0;32m 727\u001b[0m \u001b[39mdirectly, e.g. `series.index = [1, 2, 3]`.\u001b[39;00m\n\u001b[0;32m 728\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 729\u001b[0m labels \u001b[39m=\u001b[39m ensure_index(labels)\n\u001b[1;32m--> 730\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_mgr\u001b[39m.\u001b[39;49mset_axis(axis, labels)\n\u001b[0;32m 731\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_clear_item_cache()\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pandas\\core\\internals\\managers.py:225\u001b[0m, in \u001b[0;36mBaseBlockManager.set_axis\u001b[1;34m(self, axis, new_labels)\u001b[0m\n\u001b[0;32m 223\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mset_axis\u001b[39m(\u001b[39mself\u001b[39m, axis: AxisInt, new_labels: Index) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 224\u001b[0m \u001b[39m# Caller is responsible for ensuring we have an Index object.\u001b[39;00m\n\u001b[1;32m--> 225\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_validate_set_axis(axis, new_labels)\n\u001b[0;32m 226\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39maxes[axis] \u001b[39m=\u001b[39m new_labels\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pandas\\core\\internals\\base.py:70\u001b[0m, in \u001b[0;36mDataManager._validate_set_axis\u001b[1;34m(self, axis, new_labels)\u001b[0m\n\u001b[0;32m 67\u001b[0m \u001b[39mpass\u001b[39;00m\n\u001b[0;32m 69\u001b[0m \u001b[39melif\u001b[39;00m new_len \u001b[39m!=\u001b[39m old_len:\n\u001b[1;32m---> 70\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 71\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mLength mismatch: Expected axis has \u001b[39m\u001b[39m{\u001b[39;00mold_len\u001b[39m}\u001b[39;00m\u001b[39m elements, new \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 72\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mvalues have \u001b[39m\u001b[39m{\u001b[39;00mnew_len\u001b[39m}\u001b[39;00m\u001b[39m elements\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 73\u001b[0m )\n", - "\u001b[1;31mValueError\u001b[0m: Length mismatch: Expected axis has 10 elements, new values have 11 elements" - ] - } - ], - "source": [ - "mplp = formulate(scenario=example, model_class=ModelClass.MPLP)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Make matrices**\n", - "\n", - "Alternatively, users can also generate the matrix form of the mpLP" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "matrix = example.matrix_form()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Check generated matrices**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "example.A_df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "example.F_df" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Solve using PPOPT" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[Python Parametric OPtimization Toolbox (PPOPT)](https://github.com/TAMUparametric/PPOPT) is a software platform for solving and manipulating multiparametric programs in Python." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "prog = MPLP_Program(mplp['A'], mplp['b'], mplp['c'], mplp['H'],\n", - " mplp['CRa'], mplp['CRb'], mplp['F'], equality_indices=[0, 1, 2, 3, 4, 5, 6])\n", - "prog.solver.solvers['lp'] = 'gurobi'\n", - "# prog.warnings()\n", - "# prog.display_warnings()\n", - "# prog.process_constraints()\n", - "solution = solve_mpqp(prog, mpqp_algorithm.combinatorial)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Check critical regions**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "solution.critical_regions" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiparmetric/mpLP_copy.ipynb b/examples/multiparmetric/mpLP_copy.ipynb deleted file mode 100644 index 6e1108c4..00000000 --- a/examples/multiparmetric/mpLP_copy.ipynb +++ /dev/null @@ -1,2259 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# mpLP reformulation of an energy systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems mixed integer linear program (MILP) is reformulated as a mulitparametric linear program (mpLP)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "\n", - "$X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$X^S_{r,t}$ - network binary for inventory of resource r $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Problem" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " p \\in \\{LI_c, LI_d, WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " r \\in \\{charge, power, wind, solar\\} \n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\left[\\begin{matrix}1302\\\\0\\\\990\\\\567\\end{matrix}\\right]^T \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}Inv_{charge}\\\\C_{wind}\\\\C_{solar}\\\\P_{LI_c}\\\\P_{LI_d}\\end{matrix}\\right] \\leq \\left[\\begin{matrix} 100\\\\100\\\\100\\\\100\\\\100\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}-S_{power}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] \\leq \\left[\\begin{matrix}-300 & 0 & 0\\\\0 & 100 & 0\\\\0 & 0 & 100\\end{matrix}\\right] \\left[\\begin{matrix}\\beta_{power}\\\\ \\alpha_{WF}\\\\\\alpha_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_4\\left[\\begin{matrix} - Inv_{charge} \\\\ -S_{power} \\\\ C_{wind} \\\\ C_{solar} \\end{matrix}\\right] + \\left[\\begin{matrix}0.89 & -1 & 0 & 0\\\\-1 & 1 & 0.85 & 0.75\\\\0 & 0 & -1 & 0\\\\0 & 0 & 0 & -1\\end{matrix}\\right] \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] = 0\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in \\mathcal{A}_p \\hspace{1cm} \\forall p \\in \\{WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in \\mathcal{B}_r \\hspace{1cm} \\forall r \\in \\{Power\\} \n", - "\\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "`polytope` failed to import `cvxopt.glpk`.\n", - "will use `scipy.optimize.linprog`\n" - ] - } - ], - "source": [ - "from energiapy.components.result import Result\n", - "import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Define temporal scale}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare resources}$" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', varying = [VaryingResource.UNCERTAIN_DEMAND])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, capex=1302, fopex=0, vopex=0, prod_max=50,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, capex=990, fopex=0, vopex=0,\n", - " prod_max=100, label='Wind mill array', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY])\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, capex=567, fopex=0, vopex=0,\n", - " prod_max=100, label='Solar PV', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY])\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare location(s)}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "region = Location(name='region', processes={\n", - " LiI, PV, WF}, scales=scales, label='some region')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Power []\n", - "LiI_Power_stored []\n", - "Wind [, ]\n", - "Solar [, ]\n" - ] - } - ], - "source": [ - "for i in region.resources_full:\n", - " print(i, i.varying)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "example = Scenario(name='example', demand={region: {Power:150}}, network=region, scales=scales, label='example scenario')\n", - "# example = Scenario(name='example', demand={region: {Power: 50}}, network=region, scales=scales, label='example scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 0\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 2\n", - "Uncertain resource availability (A) x 0\n", - "Exact process production (Pf) x 2\n", - "Uncertain process production (P) x 2\n", - " For a total of 8 (5 fixed, and 3 uncertain)\n" - ] - } - ], - "source": [ - "matrix = formulate(scenario=example, model_class=ModelClass.MPLP)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(20, 3)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "matrix['F'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(20, 1)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "matrix['b'].shape" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{LiI_Power_stored, Power, Solar, Wind}" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.resource_set" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.set_dict['resources_implicit']" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Inv_LiI_Power_storedS_PowerAf_SolarAf_WindPf_LiIPf_LiI_dischargeP_PVP_WF
0-1.00.00.00.01.0-1.000.000.00
10.0-1.00.00.0-1.00.890.750.85
20.00.01.00.00.00.00-1.000.00
30.00.00.01.00.00.000.00-1.00
4-1.00.00.00.00.00.000.000.00
50.0-1.00.00.00.00.000.000.00
60.00.01.00.00.00.000.000.00
70.00.00.01.00.00.000.000.00
80.00.00.00.01.00.000.000.00
90.00.00.00.00.01.000.000.00
100.00.00.00.00.00.001.000.00
110.00.00.00.00.00.000.001.00
12-1.0-0.0-0.0-0.0-0.0-0.00-0.00-0.00
13-0.0-1.0-0.0-0.0-0.0-0.00-0.00-0.00
14-0.0-0.0-1.0-0.0-0.0-0.00-0.00-0.00
15-0.0-0.0-0.0-1.0-0.0-0.00-0.00-0.00
16-0.0-0.0-0.0-0.0-1.0-0.00-0.00-0.00
17-0.0-0.0-0.0-0.0-0.0-1.00-0.00-0.00
18-0.0-0.0-0.0-0.0-0.0-0.00-1.00-0.00
19-0.0-0.0-0.0-0.0-0.0-0.00-0.00-1.00
\n", - "
" - ], - "text/plain": [ - " Inv_LiI_Power_stored S_Power Af_Solar Af_Wind Pf_LiI \\\n", - "0 -1.0 0.0 0.0 0.0 1.0 \n", - "1 0.0 -1.0 0.0 0.0 -1.0 \n", - "2 0.0 0.0 1.0 0.0 0.0 \n", - "3 0.0 0.0 0.0 1.0 0.0 \n", - "4 -1.0 0.0 0.0 0.0 0.0 \n", - "5 0.0 -1.0 0.0 0.0 0.0 \n", - "6 0.0 0.0 1.0 0.0 0.0 \n", - "7 0.0 0.0 0.0 1.0 0.0 \n", - "8 0.0 0.0 0.0 0.0 1.0 \n", - "9 0.0 0.0 0.0 0.0 0.0 \n", - "10 0.0 0.0 0.0 0.0 0.0 \n", - "11 0.0 0.0 0.0 0.0 0.0 \n", - "12 -1.0 -0.0 -0.0 -0.0 -0.0 \n", - "13 -0.0 -1.0 -0.0 -0.0 -0.0 \n", - "14 -0.0 -0.0 -1.0 -0.0 -0.0 \n", - "15 -0.0 -0.0 -0.0 -1.0 -0.0 \n", - "16 -0.0 -0.0 -0.0 -0.0 -1.0 \n", - "17 -0.0 -0.0 -0.0 -0.0 -0.0 \n", - "18 -0.0 -0.0 -0.0 -0.0 -0.0 \n", - "19 -0.0 -0.0 -0.0 -0.0 -0.0 \n", - "\n", - " Pf_LiI_discharge P_PV P_WF \n", - "0 -1.00 0.00 0.00 \n", - "1 0.89 0.75 0.85 \n", - "2 0.00 -1.00 0.00 \n", - "3 0.00 0.00 -1.00 \n", - "4 0.00 0.00 0.00 \n", - "5 0.00 0.00 0.00 \n", - "6 0.00 0.00 0.00 \n", - "7 0.00 0.00 0.00 \n", - "8 0.00 0.00 0.00 \n", - "9 1.00 0.00 0.00 \n", - "10 0.00 1.00 0.00 \n", - "11 0.00 0.00 1.00 \n", - "12 -0.00 -0.00 -0.00 \n", - "13 -0.00 -0.00 -0.00 \n", - "14 -0.00 -0.00 -0.00 \n", - "15 -0.00 -0.00 -0.00 \n", - "16 -0.00 -0.00 -0.00 \n", - "17 -1.00 -0.00 -0.00 \n", - "18 -0.00 -1.00 -0.00 \n", - "19 -0.00 -0.00 -1.00 " - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.A_df" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Th_PowerTh_PVTh_WF
00.00.00.0
10.00.00.0
20.00.00.0
30.00.00.0
40.00.00.0
5150.00.00.0
60.00.00.0
70.00.00.0
80.00.00.0
90.00.00.0
100.0100.00.0
110.00.0100.0
120.00.00.0
130.00.00.0
140.00.00.0
150.00.00.0
160.00.00.0
170.00.00.0
180.00.00.0
190.00.00.0
\n", - "
" - ], - "text/plain": [ - " Th_Power Th_PV Th_WF\n", - "0 0.0 0.0 0.0\n", - "1 0.0 0.0 0.0\n", - "2 0.0 0.0 0.0\n", - "3 0.0 0.0 0.0\n", - "4 0.0 0.0 0.0\n", - "5 150.0 0.0 0.0\n", - "6 0.0 0.0 0.0\n", - "7 0.0 0.0 0.0\n", - "8 0.0 0.0 0.0\n", - "9 0.0 0.0 0.0\n", - "10 0.0 100.0 0.0\n", - "11 0.0 0.0 100.0\n", - "12 0.0 0.0 0.0\n", - "13 0.0 0.0 0.0\n", - "14 0.0 0.0 0.0\n", - "15 0.0 0.0 0.0\n", - "16 0.0 0.0 0.0\n", - "17 0.0 0.0 0.0\n", - "18 0.0 0.0 0.0\n", - "19 0.0 0.0 0.0" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.F_df" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter Username\n", - "Academic license - for non-commercial use only - expires 2024-02-14\n" - ] - } - ], - "source": [ - "\n", - "prog = MPLP_Program(matrix['A'], matrix['b'], matrix['c'], matrix['H'],\n", - " matrix['CRa'], matrix['CRb'], matrix['F'], equality_indices=[0, 1, 2, 3, 4, 5, 6])\n", - "prog.solver.solvers['lp'] = 'gurobi'\n", - "# prog.warnings()\n", - "# prog.display_warnings()\n", - "# prog.process_constraints()\n", - "solution1 = solve_mpqp(prog, mpqp_algorithm.combinatorial)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution1.critical_regions" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[]\n", - "[Critical region with active set [0, 1, 2, 3, 4, 5, 11, 15]\n", - "The Omega Constraint indices are [1, 2, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[3, 7, 8, 10], [9, 14, 16, 18]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ -0. 0. 0. ]\n", - " [-150. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]] \n", - " b = [[ -0. ]\n", - " [150. ]\n", - " [100. ]\n", - " [ 88.23529]\n", - " [ -0. ]\n", - " [ -0. ]\n", - " [100. ]\n", - " [ 88.23529]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ -1795.42349]\n", - " [ -2351.75432]\n", - " [ -433.49805]\n", - " [ -0. ]\n", - " [174709.76466]\n", - " [ 306.52941]\n", - " [ 1036.58824]\n", - " [ 1430.11765]] \n", - " E = [[ 0. -1. 0.]\n", - " [ 1. 0. 0.]\n", - " [-1. 0. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]\n", - " [-0. -1. -0.]\n", - " [-0. -0. -1.]] \n", - " f = [[ 0. ]\n", - " [ 0.5 ]\n", - " [-0.41248]\n", - " [ 0.5 ]\n", - " [ 1. ]\n", - " [ 1. ]\n", - " [ 0. ]\n", - " [ 0. ]], Critical region with active set [0, 1, 2, 3, 4, 5, 11, 16]\n", - "The Omega Constraint indices are [1, 2, 3, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[3, 7, 10], [9, 14, 18]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ -0. 0. 0. ]\n", - " [-150. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]\n", - " [ -0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]] \n", - " b = [[ -0. ]\n", - " [150. ]\n", - " [100. ]\n", - " [ 88.23529]\n", - " [ 0. ]\n", - " [ 0. ]\n", - " [100. ]\n", - " [ 88.23529]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ -4272.45992]\n", - " [ -2351.75432]\n", - " [ -433.49805]\n", - " [ 0. ]\n", - " [174709.76466]\n", - " [ 306.52941]\n", - " [ 2466.70588]\n", - " [ 1430.11765]] \n", - " E = [[ 0. -1. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]\n", - " [-1. -0. -0.]\n", - " [-0. -1. -0.]\n", - " [-0. -0. -1.]] \n", - " f = [[0. ]\n", - " [0.5]\n", - " [0.5]\n", - " [1. ]\n", - " [1. ]\n", - " [0. ]\n", - " [0. ]\n", - " [0. ]]]\n" - ] - } - ], - "source": [ - "prog = MPLP_Program(matrix['A'], matrix['b'], matrix['c'], matrix['H'],\n", - " matrix['CRa'], matrix['CRb'], matrix['F'], equality_indices=[0, 1, 2, 3])\n", - "prog.solver.solvers['lp'] = 'gurobi'\n", - "prog.warnings()\n", - "prog.display_warnings()\n", - "prog.process_constraints()\n", - "solution1 = solve_mpqp(prog, mpqp_algorithm.combinatorial)\n", - "# prog.solve_theta(numpy.array([[0.76816588], [0.6937343 ], [0.52326189]]))\n", - "print(solution1.critical_regions)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['A', 'b', 'C', 'd', 'E', 'f', 'active_set', 'omega_set', 'lambda_set', 'regular_set', 'y_fixation', 'y_indices', 'x_indices'])" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution1.critical_regions[0].__dict__.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Critical region with active set [0, 1, 2, 3, 4, 5, 11, 15]\n", - "The Omega Constraint indices are [1, 2, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[3, 7, 8, 10], [9, 14, 16, 18]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ -0. 0. 0. ]\n", - " [-150. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]] \n", - " b = [[ -0. ]\n", - " [150. ]\n", - " [100. ]\n", - " [ 88.23529]\n", - " [ -0. ]\n", - " [ -0. ]\n", - " [100. ]\n", - " [ 88.23529]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ -1795.42349]\n", - " [ -2351.75432]\n", - " [ -433.49805]\n", - " [ -0. ]\n", - " [174709.76466]\n", - " [ 306.52941]\n", - " [ 1036.58824]\n", - " [ 1430.11765]] \n", - " E = [[ 0. -1. 0.]\n", - " [ 1. 0. 0.]\n", - " [-1. 0. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]\n", - " [-0. -1. -0.]\n", - " [-0. -0. -1.]] \n", - " f = [[ 0. ]\n", - " [ 0.5 ]\n", - " [-0.41248]\n", - " [ 0.5 ]\n", - " [ 1. ]\n", - " [ 1. ]\n", - " [ 0. ]\n", - " [ 0. ]]" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution1.critical_regions[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[]\n", - "[Critical region with active set [0, 1, 2, 3, 4, 5, 11, 15]\n", - "The Omega Constraint indices are [1, 2, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[3, 7, 8, 10], [9, 14, 16, 18]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ -0. 0. 0. ]\n", - " [-150. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]] \n", - " b = [[ -0. ]\n", - " [150. ]\n", - " [100. ]\n", - " [ 88.23529]\n", - " [ -0. ]\n", - " [ -0. ]\n", - " [100. ]\n", - " [ 88.23529]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ -1795.42349]\n", - " [ -2351.75432]\n", - " [ -433.49805]\n", - " [ -0. ]\n", - " [174709.76466]\n", - " [ 306.52941]\n", - " [ 1036.58824]\n", - " [ 1430.11765]] \n", - " E = [[ 0. -1. 0.]\n", - " [ 1. 0. 0.]\n", - " [-1. 0. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]\n", - " [-0. -1. -0.]\n", - " [-0. -0. -1.]] \n", - " f = [[ 0. ]\n", - " [ 0.5 ]\n", - " [-0.41248]\n", - " [ 0.5 ]\n", - " [ 1. ]\n", - " [ 1. ]\n", - " [ 0. ]\n", - " [ 0. ]], Critical region with active set [0, 1, 2, 3, 4, 5, 11, 16]\n", - "The Omega Constraint indices are [1, 2, 3, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[3, 7, 10], [9, 14, 18]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ -0. 0. 0. ]\n", - " [-150. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]\n", - " [ -0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]] \n", - " b = [[ -0. ]\n", - " [150. ]\n", - " [100. ]\n", - " [ 88.23529]\n", - " [ 0. ]\n", - " [ 0. ]\n", - " [100. ]\n", - " [ 88.23529]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ -4272.45992]\n", - " [ -2351.75432]\n", - " [ -433.49805]\n", - " [ 0. ]\n", - " [174709.76466]\n", - " [ 306.52941]\n", - " [ 2466.70588]\n", - " [ 1430.11765]] \n", - " E = [[ 0. -1. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]\n", - " [-1. -0. -0.]\n", - " [-0. -1. -0.]\n", - " [-0. -0. -1.]] \n", - " f = [[0. ]\n", - " [0.5]\n", - " [0.5]\n", - " [1. ]\n", - " [1. ]\n", - " [0. ]\n", - " [0. ]\n", - " [0. ]]]\n" - ] - } - ], - "source": [ - "prog1 = MPLP_Program(matrix['A'], matrix['b'], matrix['c'], matrix['H'],\n", - " matrix['CRa'], matrix['CRb'], matrix['F'], equality_indices=[0, 1, 2, 3])\n", - "prog1.solver.solvers['lp'] = 'gurobi'\n", - "prog1.warnings()\n", - "prog1.display_warnings()\n", - "prog1.process_constraints()\n", - "solution2 = solve_mpqp(prog1, mpqp_algorithm.combinatorial)\n", - "print(solution2.critical_regions)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Solution(program=MPLP_Program(A=array([[-0.57735, 0. , 0. , 0. , 0.57735, -0.57735,\n", - " 0. , 0. ],\n", - " [ 0. , -0.49525, 0. , 0. , -0.49525, 0.44077,\n", - " 0.37144, 0.42096],\n", - " [ 0. , 0. , 0.70711, 0. , 0. , 0. ,\n", - " -0.70711, 0. ],\n", - " [ 0. , 0. , 0. , 0.70711, 0. , 0. ,\n", - " 0. , -0.70711],\n", - " [ 0. , -0.00667, 0. , 0. , 0. , 0. ,\n", - " 0. , 0. ],\n", - " [ 0. , 0. , 1. , 0. , 0. , 0. ,\n", - " 0. , 0. ],\n", - " [ 0. , 0. , 0. , 1. , 0. , 0. ,\n", - " 0. , 0. ],\n", - " [ 0. , 0. , 0. , 0. , 1. , 0. ,\n", - " 0. , 0. ],\n", - " [ 0. , 0. , 0. , 0. , 0. , 1. ,\n", - " 0. , 0. ],\n", - " [ 0. , 0. , 0. , 0. , 0. , 0. ,\n", - " 0.01 , 0. ],\n", - " [ 0. , 0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0.01 ],\n", - " [-1. , -0. , -0. , -0. , -0. , -0. ,\n", - " -0. , -0. ],\n", - " [-0. , -1. , -0. , -0. , -0. , -0. ,\n", - " -0. , -0. ],\n", - " [-0. , -0. , -1. , -0. , -0. , -0. ,\n", - " -0. , -0. ],\n", - " [-0. , -0. , -0. , -1. , -0. , -0. ,\n", - " -0. , -0. ],\n", - " [-0. , -0. , -0. , -0. , -1. , -0. ,\n", - " -0. , -0. ],\n", - " [-0. , -0. , -0. , -0. , -0. , -1. ,\n", - " -0. , -0. ],\n", - " [-0. , -0. , -0. , -0. , -0. , -0. ,\n", - " -1. , -0. ],\n", - " [-0. , -0. , -0. , -0. , -0. , -0. ,\n", - " -0. , -1. ]]), b=array([[ 0. ],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ -0.99998],\n", - " [100. ],\n", - " [100. ],\n", - " [ 50. ],\n", - " [ 50. ],\n", - " [ 0.99995],\n", - " [ 0.99995],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ 0. ],\n", - " [ 0. ]]), c=array([[ 0.],\n", - " [ 0.],\n", - " [ 0.],\n", - " [ 0.],\n", - " [1302.],\n", - " [ 0.],\n", - " [ 567.],\n", - " [ 990.]]), H=array([[0., 0., 0.],\n", - " [0., 0., 0.],\n", - " [0., 0., 0.],\n", - " [0., 0., 0.],\n", - " [0., 0., 0.],\n", - " [0., 0., 0.],\n", - " [0., 0., 0.],\n", - " [0., 0., 0.]]), A_t=array([[ 1., 0., 0.],\n", - " [ 0., 1., 0.],\n", - " [ 0., 0., 1.],\n", - " [-1., -0., -0.],\n", - " [-0., -1., -0.],\n", - " [-0., -0., -1.]]), b_t=array([[1.],\n", - " [1.],\n", - " [1.],\n", - " [0.],\n", - " [0.],\n", - " [0.]]), F=array([[0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0.99998, 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0.99995, 0. ],\n", - " [0. , 0. , 0.99995],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ],\n", - " [0. , 0. , 0. ]]), c_c=array([[0.]]), c_t=array([[0.],\n", - " [0.],\n", - " [0.]]), Q_t=array([[0., 0., 0.],\n", - " [0., 0., 0.],\n", - " [0., 0., 0.]]), equality_indices=[0, 1, 2, 3], solver=Solver(solvers={'lp': 'gurobi', 'qp': 'gurobi', 'milp': 'gurobi', 'miqp': 'gurobi'})), critical_regions=[Critical region with active set [0, 1, 2, 3, 4, 5, 11, 15]\n", - "The Omega Constraint indices are [1, 2, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[3, 7, 8, 10], [9, 14, 16, 18]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ -0. 0. 0. ]\n", - " [-150. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]] \n", - " b = [[ -0. ]\n", - " [150. ]\n", - " [100. ]\n", - " [ 88.23529]\n", - " [ -0. ]\n", - " [ -0. ]\n", - " [100. ]\n", - " [ 88.23529]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ -1795.42349]\n", - " [ -2351.75432]\n", - " [ -433.49805]\n", - " [ -0. ]\n", - " [174709.76466]\n", - " [ 306.52941]\n", - " [ 1036.58824]\n", - " [ 1430.11765]] \n", - " E = [[ 0. -1. 0.]\n", - " [ 1. 0. 0.]\n", - " [-1. 0. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]\n", - " [-0. -1. -0.]\n", - " [-0. -0. -1.]] \n", - " f = [[ 0. ]\n", - " [ 0.5 ]\n", - " [-0.41248]\n", - " [ 0.5 ]\n", - " [ 1. ]\n", - " [ 1. ]\n", - " [ 0. ]\n", - " [ 0. ]], Critical region with active set [0, 1, 2, 3, 4, 5, 11, 16]\n", - "The Omega Constraint indices are [1, 2, 3, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[3, 7, 10], [9, 14, 18]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ -0. 0. 0. ]\n", - " [-150. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]\n", - " [ -0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [ 0. 0. 0. ]\n", - " [-176.47059 0. 0. ]] \n", - " b = [[ -0. ]\n", - " [150. ]\n", - " [100. ]\n", - " [ 88.23529]\n", - " [ 0. ]\n", - " [ 0. ]\n", - " [100. ]\n", - " [ 88.23529]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ -4272.45992]\n", - " [ -2351.75432]\n", - " [ -433.49805]\n", - " [ 0. ]\n", - " [174709.76466]\n", - " [ 306.52941]\n", - " [ 2466.70588]\n", - " [ 1430.11765]] \n", - " E = [[ 0. -1. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 1. 0. 0.]\n", - " [ 0. 1. 0.]\n", - " [ 0. 0. 1.]\n", - " [-1. -0. -0.]\n", - " [-0. -1. -0.]\n", - " [-0. -0. -1.]] \n", - " f = [[0. ]\n", - " [0.5]\n", - " [0.5]\n", - " [1. ]\n", - " [1. ]\n", - " [0. ]\n", - " [0. ]\n", - " [0. ]]])" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution1\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "from ppopt.utils.constraint_utilities import find_redundant_constraints\n", - "\n", - "pre_kept = find_redundant_constraints(numpy.block([[matrix['A'], -matrix['F']], [numpy.zeros(\n", - " (matrix['CRa'].shape[0], 8)), matrix['CRa']]]), numpy.block([[matrix['b']], [matrix['CRb']]]), [0, 1, 2, 3])\n", - "pre_kept = list(filter(lambda x: x < 20, pre_kept))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[]\n", - "2\n" - ] - } - ], - "source": [ - "prog2 = MPLP_Program(matrix['A'][pre_kept], matrix['b'][pre_kept], matrix['c'], matrix['H'],\n", - " matrix['CRa'], matrix['CRb'], matrix['F'][pre_kept], equality_indices=[0, 1, 2, 3])\n", - "prog2.solver.solvers['lp'] = 'gurobi'\n", - "prog2.warnings()\n", - "prog2.display_warnings()\n", - "# prog1.process_constraints()\n", - "solution3 = solve_mpqp(prog1, mpqp_algorithm.combinatorial)\n", - "print(len(solution3.critical_regions))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(2, 2, 2)" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution1.critical_regions), len(\n", - " solution2.critical_regions), len(solution3.critical_regions)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution2.critical_regions)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "# print(prog.A)\n", - "# prog.process_constraints()\n", - "# print(prog.num_constraints())\n", - "\n", - "# print(prog.num_constraints())\n", - "# # print(prog.solve_theta(numpy.array([[0.76816588], [0.6937343 ], [0.52326189]])))\n", - "# print(prog.equality_indices)\n", - "# print(prog.A)\n", - "# print(prog.num_constraints())\n", - "# print([(A[i], prog.A[i]) for i in range(prog.num_constraints())])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "# solution = solve_mpqp(prog, mpqp_algorithm.geometric)\n", - "# len(solution.critical_regions)\n", - "# A_prime = prog.A\n", - "# F_prime = prog.F\n", - "# A_tprime = prog.A_t\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "# solution1.critical_regions[0]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[56700.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "array([[ -0.],\n", - " [ 75.],\n", - " [100.],\n", - " [ -0.],\n", - " [ -0.],\n", - " [ 0.],\n", - " [100.],\n", - " [ -0.]])" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# solution.critical_regions[0].E@theta_point <= solution.critical_regions[0].f\n", - "# print(solution.critical_regions[0].E[3], solution.critical_regions[0].f[3])\n", - "cr = solution3.critical_regions[0]\n", - "new_theta = prog.solver.solve_lp(\n", - " c=(prog.c.T@cr.A).reshape(-1, 1), A=cr.E, b=cr.f).sol\n", - "print(prog.solver.solve_lp(c=(prog.c.T@cr.A).reshape(-1, 1),\n", - " A=cr.E, b=cr.f).obj + prog.c.T@cr.b)\n", - "cr.evaluate(new_theta.reshape(-1, 1))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0.5, 0. , 0. ])" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "new_theta" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[56700.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "array([[ -0.],\n", - " [ 75.],\n", - " [100.],\n", - " [ -0.],\n", - " [ -0.],\n", - " [ 0.],\n", - " [100.],\n", - " [ -0.]])" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cr = solution2.critical_regions[0]\n", - "new_theta = prog1.solver.solve_lp(\n", - " c=(prog1.c.T@cr.A).reshape(-1, 1), A=cr.E, b=cr.f).sol\n", - "print(prog1.solver.solve_lp(c=(prog1.c.T@cr.A).reshape(-1, 1),\n", - " A=cr.E, b=cr.f).obj + prog1.c.T@cr.b)\n", - "cr.evaluate(new_theta.reshape(-1, 1))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ -0.],\n", - " [ 75.],\n", - " [100.],\n", - " [ -0.],\n", - " [ -0.],\n", - " [ 0.],\n", - " [100.],\n", - " [ -0.]])" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cr.evaluate(new_theta.reshape(-1, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SolverOutput(obj=array([[20765.3574]]), sol=array([ 0. , 27.4674 , 36.62321, 0. , 0. , 0. ,\n", - " 36.62321, 0. ]), slack=array([ 0. , 0. , 0. , 0. , 0. , 63.37679,\n", - " 100. , 50. , 50. , 1.22159, 1.44627, 0. ,\n", - " 27.4674 , 36.62321, 0. , 0. , 0. , 36.62321,\n", - " 0. ]), active_set=array([ 0, 1, 2, 3, 4, 11, 14, 15, 16, 18], dtype=int64), dual=array([ 3564.56056, 1526.50235, 0. , 0. ,\n", - " -113402.51997, 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , -2058. ,\n", - " 0. , 0. , 0. , 0. ,\n", - " -1385.16 , 0. , -347.4 ]))\n", - "[[0.81688]\n", - " [0.58789]\n", - " [0.44635]]\n" - ] - } - ], - "source": [ - "# [x.b for x in solution.critical_regions]\n", - "for i in range(1000):\n", - " theta_samp = numpy.random.rand(3).reshape(-1, 1)\n", - "\n", - " prop = prog.solve_theta(theta_samp)\n", - "\n", - " if prop is not None:\n", - " print(prop)\n", - " print(theta_samp)\n", - " break\n" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SolverOutput(obj=array([[67962.87115]]), sol=array([ 0. , 84.67014, 100. , 11.37664, 0. , 0. ,\n", - " 100. , 11.37664]), slack=array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", - " 88.62336, 50. , 50. , 19.96087, 156.33325, 0. ,\n", - " 84.67014, 100. , 11.37664, 0. , 0. , 100. ,\n", - " 11.37664]), active_set=array([ 0, 1, 2, 3, 4, 5, 11, 15, 16], dtype=int64), dual=array([ 2466.70588, 1164.70588, 306.52941, 0. , -1164.70588,\n", - " -306.52941, 0. , 0. , 0. , 0. ,\n", - " 0. , -2466.70588, 0. , 0. , 0. ,\n", - " 0. , -1430.11765, 0. , 0. ]))\n", - "[[0.43553]\n", - " [0.19961]\n", - " [0.6771 ]]\n" - ] - } - ], - "source": [ - "# [x.b for x in solution.critical_regions]\n", - "for i in range(1000):\n", - " theta_samp = numpy.random.rand(3).reshape(-1, 1)\n", - "\n", - " prop = prog2.solve_theta(theta_samp)\n", - "\n", - " if prop is not None:\n", - " print(prop)\n", - " print(theta_samp)\n", - " break\n" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'A' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[35], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m A_poly \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mblock([[A, \u001b[39m-\u001b[39mF], [numpy\u001b[39m.\u001b[39mzeros((\u001b[39m6\u001b[39m, \u001b[39m16\u001b[39m)), CRa]])\n\u001b[0;32m 2\u001b[0m b_poly \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mblock([[b], [CRb]])\n", - "\u001b[1;31mNameError\u001b[0m: name 'A' is not defined" - ] - } - ], - "source": [ - "\n", - "A_poly = numpy.block([[A, -F], [numpy.zeros((6, 16)), CRa]])\n", - "b_poly = numpy.block([[b], [CRb]])\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from itertools import product\n", - "from pyomo.environ import Set, Constraint, NonNegativeReals, ConcreteModel, Var\n", - "from energiapy.utils.latex_utils import constraint_latex_render\n", - "import sys\n", - "sys.path.append('../src')\n", - "instance = ConcreteModel()\n", - "instance.transport = Set(initialize=list(range(4)))\n", - "instance.location = Set(initialize=list(range(4)))\n", - "instance.network = Set(initialize=list(range(4)))\n", - "instance.price = Var(instance.transport, within=NonNegativeReals)\n", - "instance.cons_max = Var(instance.transport, instance.location,\n", - " instance.network, within=NonNegativeReals)\n", - "\n", - "\n", - "def rule(instance, transport):\n", - " return instance.price[transport] == sum(instance.cons_max[transport, location, network] for location, network in product(instance.location, instance.network))\n", - "\n", - "\n", - "instance.networkons = Constraint(instance.transport, rule=rule)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "constraint_latex_render(rule)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def rule()\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/base-case.ipynb b/examples/multiperiod-examples/base-case.ipynb deleted file mode 100644 index 9c8bb370..00000000 --- a/examples/multiperiod-examples/base-case.ipynb +++ /dev/null @@ -1,1675 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n", - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n", - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "# raw_data = pandas.read_parquet(url)\n", - "# raw_data = raw_data.astype(\n", - "# dtype={\n", - "# 'core_metric_key': 'string',\n", - "# 'core_metric_parameter': 'string',\n", - "# 'core_metric_case': 'string',\n", - "# 'crpyears': 'string',\n", - "# 'technology': 'string',\n", - "# 'technology_alias': 'string',\n", - "# 'techdetail': 'string',\n", - "# 'display_name': 'string',\n", - "# 'scenario': 'string',\n", - "# 'units': 'string'\n", - "# })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - "# df_out = pandas.DataFrame()\n", - "# for i in core_metric_parameters:\n", - "# df = pandas.DataFrame(raw_data[\n", - "# (raw_data.core_metric_parameter == i) &\n", - "# (raw_data.core_metric_case == core_metric_case) &\n", - "# (raw_data.crpyears == str(crpyear)) &\n", - "# (raw_data.technology == technology) &\n", - "# (raw_data.techdetail == techdetail) &\n", - "# (raw_data.scenario == scenario)\n", - "# ][['value']])\n", - "# df = df.rename({'value': i}, axis='columns')\n", - "# df = df.reset_index()\n", - "# df_out = pandas.concat([df_out, df], axis='columns')\n", - "# df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - "# df_out = df_out.fillna(0)\n", - "# df_out = df_out.drop(columns=['index'])\n", - "# return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "# hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "# hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "# med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "# med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "# med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "# low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "# low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "# low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "# hig_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "# hig_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "# hig_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "# med_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "# med_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "# med_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "# low_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "# low_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "# low_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "# constant_df = pandas.DataFrame(\n", - "# data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "# param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "# advanced_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - "# 'PSH_discharge': constant_df,\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_adv_df,\n", - "# 'SMRH': hig_trl_adv_df,\n", - "# 'AqOff': hig_trl_adv_df,\n", - "# 'DAC': low_trl_adv_df,\n", - "# 'PEM': low_trl_adv_df,\n", - "# 'H2_L_c': med_trl_adv_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n", - "\n", - "\n", - "# moderate_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - "# 'PSH_discharge': constant_df,\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_mod_df,\n", - "# 'SMRH': hig_trl_mod_df,\n", - "# 'AqOff': hig_trl_mod_df,\n", - "# 'DAC': low_trl_mod_df,\n", - "# 'PEM': low_trl_mod_df,\n", - "# 'H2_L_c': med_trl_mod_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n", - "\n", - "\n", - "# conservative_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - "# 'PSH_discharge': constant_df,\n", - "# # no cons, adv\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_con_df,\n", - "# 'SMRH': hig_trl_con_df,\n", - "# 'AqOff': hig_trl_con_df,\n", - "# 'DAC': low_trl_con_df,\n", - "# 'PEM': low_trl_con_df,\n", - "# 'H2_L_c': med_trl_con_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=100,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=118.48, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, ASMR, PEM, H2_Comp, NGCC, AqOff, PSH, SMR, SMRH, PV}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[-8760:], WF: wind_houston[-8760:]}, price_factor={\n", - " CH4: ng_price_df[-365:]}, scales=scales, label='Houston', expenditure_scale_level=0, demand_scale_level=1, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, purchase_scale_level=1, label='full_case', demand={houston: {H2_C: 0.2740}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAHtCAYAAACEdOhUAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADaSUlEQVR4nOzdd1QU19sH8O8uvfcOooCICBaIXYM9osYSNRp7ixpjN/aeaIzGGluixl4SNdYoRmM3NhQVCxYUVBAEkd5h5/2Dd+fHsoXd2V228HzO8RyZuTtz7+4yzDP33ufyGIZhQAghhBBCCCFK4Gu6AoQQQgghhBDdR4EFIYQQQgghRGkUWBBCCCGEEEKURoEFIYQQQgghRGkUWBBCCCGEEEKURoEFIYQQQgghRGkUWBBCCCGEEEKURoEFIYQQQgghRGkUWBBCCCGEEEKURoEF0VqLFi0Cj8eT+Y/P58POzg7NmjXDsmXLkJmZqbLz37p1C+7u7mjcuDEyMjJUdtyqdvfuXfTt2xdubm4wNjaGi4sLmjVrhgULFiA3N1fT1dMLhw4dQtu2bWFnZwcTExN4eXmhc+fO2Lp1q6arJiY+Pl7s98jAwABXrlxR+HXCf23atKmayus4Se/hokWLNF0trTRv3jxYWVlhwYIFGqtDmzZtpH7na9asKVZe1u8IfdakuuAxDMNouhKESBIdHY3o6GgAwODBgwEArVu3xujRo9kyeXl5iIyMxJ49e1BYWIgaNWrgxIkTaNCggdLnHz9+PDZu3AgAOHz4MHr37q30MavahQsX0LlzZ5SWlmLo0KFo2rQp0tLSsGHDBiQlJSEuLk7iH8iqsnPnTsTHx6Nhw4bo2bOnxuqhjCVLlmD+/PmwsrLC+PHj4ePjg5iYGGzcuBGurq6Ij4/XdBVF5Obm4ujRowCAI0eOsP/39vZGdHQ0rK2t5X7dmjVr4OjoCBcXF3Ts2FFldbx//z6OHTsGAHp1M1b+PZwyZQo+fPiAhQsX6lUbVcXS0hK5ubmwtLREdna2Rupw7tw5vH//HjExMfjxxx8BAKNHj0br1q1haWkpds0q//lu2bIFV69eBQDs2bMHAFC/fn3Ur1+/6hqgRhkZGVi7di0AYNiwYRr9O0K0DEOIDgDAAGCGDh0qcX9UVBRjYWHBAGA8PDyYjx8/Kn3O69evM66urkyjRo2YtLQ0pY+nCSEhIQwAZsqUKSLbz5w5wwBg4uLiNFOx/xcWFibzc9V2qampjLGxMQOAOX78uMi+WbNmMd7e3pqpmJwWLlzI/m4BYIYMGaLQ69T1/dmxYwdbJ33l7e3NAGAWLlyo6apopdmzZzMWFhbMrFmzNF0V5uLFi+z3cceOHXK9ZujQoXr9HY6Li2Pbd/HiRU1Xh2gRGgpF9EKjRo0wY8YMAEBiYiLWrVun9DGbN2+OpKQkREVFwd7eXunjVbXs7GxERUUBgNhQlXbt2iEmJgYeHh4aqJn+uHnzJoqKigCIv8ezZs3C+fPnNVArxVlZWQEAdu/ejb/++kvDtSEE+PHHH5GTk4Nly5ZpuiqEEAVQYEH0xhdffMH+//jx4xqsiXZIT09n/19xeIuRkRECAgJgZGRU1dXSKx8/fmT/X/E9trGxga+vb1VXiZNffvkFfH7Zn4MxY8YgKSlJwzUihBCiiyiwIHqj/E3cy5cvNVgT7SAQCDRdBb2nL+9xmzZt2B6/tLQ0jBgxQsM1IoQQoososCB6w8DAgP1/cXEx+/+KmTmGDRsGANi3bx8+/fRTODg4iGS3uXTpkthrdu7cKfW8DMNg//796Ny5M1xcXGBkZAR7e3s0b94cM2fORGRkpNTXCgQCbN++He3atYOjoyNMTEzg7u6Onj17cu512blzJ3g8HmrVqsVua9u2rUh7yk8ofvv2LZYvX4727duz9bezs0Pz5s2xcuVK5OXlVXpORd+DmjVrgsfj4fLlywCAXbt2ib3nkiY9f/jwAXPnzkWDBg1gbW0NCwsLBAQEYNKkSXj9+rXEugnPVTGD0enTp/HZZ5/B2dkZfD5faqYXSYYNGwYej4fhw4ez2yrLGFNcXIyNGzciLCyM/ay9vLwwYMAA/PfffzLPU/4fADx58gRDhgyBl5cXDA0NZb5n8vr+++/xySefAADOnDnDJi7gorCwEH/88QcGDBgAPz8/mJmZwdzcHLVr18bo0aPx9OlTia8TZoKT9r6Wz6zj6uoq8fda6ObNm2KvvXTpksTzVfzevX37FuPGjUOtWrVgbGws8fV37tzBjBkz0KRJE9ja2rIZ18LDw3Hw4EHO752ioqKi0LdvXzg7O8PU1BTe3t4YOXIkXr58KfFaJpxwq6p2REZGYsCAAahRowZMTExgaWmJhg0bYsKECbh48SIYBfPDSPvOlyftmr5lyxaEhobC0tIStra26NSpE65fv67Q+TVB0eva06dPK/0b9dNPP1X6Pgo9e/YMX3/9NXx9fWFqagpzc3MEBgZi1KhROHnyJEpKStiywu+UrL8v0rLE/ffffxgwYAC8vLxgYmICR0dHhIWFYdOmTSJ/syueq2I7c3JyMHv2bPj5+cHU1BSurq4YMmQI3r59W8k7TaqEhud4ECIXVDJ5m2EYJj4+ni3n5+fHbt+zZw+zZ88eJiAggD3Gt99+y/j7+zM//vgj89tvvzFdu3ZlADBhYWFMcnIy+xpUMmEvIyODadu2LQOA8fLyYhYsWMBs3bqVWbBgAVO7dm329d98843Yaz9+/Mi0bNmSAcDUrVuXWbZsGfP7778zM2bMYOzt7RkATN++fZmCggKF3quXL18ye/bsYdasWcOef86cOWyb9uzZw+Tk5LB14PP5DADG29ubWbhwIbNlyxZm7ty5jK+vLwOAqVevHpOcnCz1fFzeg6NHj4p8Jq1btxapX/k6Cl28eJGxs7NjADAdO3Zk1q9fz2zevJnp06cPA4AxNTVl/vzzT7H6Cc/VunVr9jNesWIF4+npySxYsIDZsmULM2jQIPY9kMf169eZPXv2MKNHj2bbV77uR48eFSn/9u1bJjg4WOSz3rp1KzNx4kTG3NycAcBMnTqVEQgElZ7n4sWLjKOjIzN+/Hhm69atzKxZsxhTU1NOk6krTsJ+/vw5mwTBzMyMefr0qVyvq6hnz54MAMbY2JgZOXIks2nTJmbFihXM559/zn5Whw8fFnvdgwcPZL6ve/bsYR48eMAwDMMcPnxY7Pe6vNTUVLHfg4qTTIXnmzNnDlvm1KlTjKurKzN06FBmy5YtzA8//MB+74SvP3bsGFu+RYsWzPLly5nNmzczEydOZKysrBgAzJdffsmUlpZKfe9VMXl7//79jKGhIQOAad++PbNhwwZm06ZNTI8ePRgLCwvmp59+Yuu5Zs0aZs+ePUxMTAz7emXbsWPHDobP5zM2NjbMhAkTmM2bNzNr1qxhevXqxR7322+/VahNkr7zFUm6po8cOZJp3rw588svvzCbN29mOnXqxH4H//vvP8Xe2ArUOXmby3UtMzOz0r9Rjx49qvR9ZBiGOXv2LGNiYsKYmpoyI0eOZNavX89s2LCBGTJkCGNgYMAAYLp27cqWF/59lPX35ezZsyLnEAgEzJQpUxgAjLm5OTNx4kRm69atzLJly5i6desyAJjg4GAmISFB5HWS/hZv2LCBadiwIdO/f39my5YtzMqVK9ljeHl5Menp6ZV8MkTdKLAgOkGewGL79u1suTFjxojtF2Yg8vDwYFq3bs3k5+ez+0pLSxl/f38mLCxM4nkl/TEpLS1lb6iDg4PFLmiFhYXMF198wQBgevToIfZaYX3at28vFjy8efOGcXNzYwAwkyZNktpmWeTJ2pGamsoAYOrXr8/k5uaK7MvPz2c+++wzBgDTrVs3ia9X5j1gGPmzQj158oS9AZ83b57Y/m3btjEAGD6fz1y4cEHiMYR/6F1cXJjAwECxTF8dOnRQOIuTPNmLcnNz2T98HTp0EPus79+/z1haWjIAmEWLFlV6Hj8/PyYyMlJk/5IlS1QSWDDM/95LAMwnn3zCFBcXy/W68rp27coYGhpK/N4Jf0/Nzc2ZN2/eSHy9IlmhKvsOyfN7UP7G0dPTkzl58qTI/r1794q8/tChQwwAZtSoUWLHSkhIYH93V65cKbXeygYW0dHRjJGRkdRrxJo1a9gbQ2mflTLtSEtLY38n79y5I7Zf+D3imvFNnu+A8LN3c3NjevbsKRIACQQCpl27dgwApm3btpzqIFT++7F+/XomNTW10n/9+/evtP6quK5VFvDIeh9LSkoYDw8PBoDEQP+ff/5h+Hy+2N9FhlEsK5TwemFpacncv39fZF9BQQHToUMHBgATGBjI5OXlyWynm5sbs3r1apF9Hz9+ZBwcHBgAzOLFi2XWhagfBRZEJ1QWWGRmZjJ+fn4MAMbExIR5/vy5WBnhHyEATHR0tNj+jRs3MsuWLZN4XkkX7fIX7KtXr0qsV2JiImNgYCB2U/3777+zfzBiY2MlvnbTpk0MAMbAwEDqDZgsigQWkp70M0zZE2zhMV68eCG2X5n3gGHkDyzatGnD3lSXlJRILCM8lp+fn8QnrOWfIFa8cWQYhvnzzz+ZadOmyaxHRfLc/CxatIj9HF++fCmxjPAPr7Qy5c8jqY4PHjxghg4dyqSmpipUf2kBQu/evdnzzZ8/X+7XCXXt2pUJDw+Xet4WLVpIvZliGM0GFr179xbbn5iYyAwdOpR92n/o0CGGz+czSUlJEo+3ZcsWNkiRRtnAonPnzgwAxtHRUeLNmEAgYHvJZAUWXNtx/PhxBgDj4OAgtY4eHh5VElgAkPh7s3PnTvY6W/HBiSLKfz+4/JNGFdc1ZQKLBw8esPuys7Mlvr5ly5ZKBRaxsbFsgCvtwUlsbCzbcy4tMBCeq1atWhLfh2HDhjEAmKZNm0qtC6kaNMeC6JTCwkJ8+PCB/ff27VscOXIErVq1QmxsLAwNDbF9+3bUrl1b6jH8/f0RHBwstn3cuHGYNWuW3HURjkH38vJCq1atJJZxd3dHWFiYWMagzZs3AwBCQ0OlZg7q3LkzAKC0tFRtY7bt7e0RFxeHXr16Sdxfu3Zt2NjYAACuXbsmtl+Z90BeT548Yce29+vXT2QuTXkDBw4EAMTGxuKff/6Rejxzc3P2vS3vyy+/xMqVKznVURqGYdjPulmzZvDx8ZFYTlj30tJS/PbbbzKPKWmhxvr162Pnzp1wdHRUssZltmzZAk9PTwBlaT9v3ryp0Ou3b9+Offv2Sd0vnMshXEBMm0h6f93d3bFz504EBAQAALp06YL4+Hi4urpKPIawfQkJCWpZIDE5ORlnz54FAHTr1g1mZmZiZXg8XqWLeirTjtLSUgBlmdGePHki8fXHjh1jkwKoU7169ST+btWtWxdA2Vw2VSX0mD59Os6dO1fpv06dOsk8jqqva1wIP0NA8vUdAH799VesWrWK8zl+++039jzCtlTk6+uLZs2aAQA2bdokc15Oly5d2Ax25Qk/6xcvXnCuK1ENQ01XgBBF/PHHH/jjjz/EtvP5fLRr1w5Lly5lL1DSCC9AysjMzGTXiAgJCZFZtuJaBuVf6+/vjw8fPkh8nYmJCft/WRPAlcHn80UmGgsEAmRnZ4tMpLO2tkZmZiaSk5NFXqvMe6CICxcusP8PDQ2VWq78vosXLyI8PFxiudq1a8PQsGoufY8fP8b79+/F6iepTtbW1sjKysLFixdlHlMV39/K2NvbY/fu3ejQoQNKS0sxePBg3L9/HxYWFnK93tnZWeTnvLw85OfnszcMwu92xe+UNpDn/TU3N4e5uTn7c3FxMXJyckRu1ISSk5NVvirxjRs32IxkDRs2lFquXr16Mo+jTDsaN24MY2NjFBUVoV27dpg3bx4GDRoEW1tbtowwMFE3aQ+SytclMzNTJecKDAxEhw4dKi23d+9emftVfV3jIiAgAPb29vj48SO+/PJLzJw5E6NGjYKLiwtbJigoSKlzCNtpY2MDPz8/qeVCQ0Nx/fp1dqXzwMBAieUq+6xV9TkT7qjHguiUTp06iTwV+vfff3H79m2kpaXh/PnzlQYVgPh6A1zEx8ezf9jd3d05v3bfvn1wcnKS+K/84nXCm1N1yMnJwdKlS9GwYUOYmJjA1tZWpB7CTBsFBQVS26Hoe6CI8k8aZS3oV36frKeTqvj85SVv3YH/vYeVPVmtqvq3bdsW3333HYCyp6VTpkxR6PUnTpxAly5dYGdnBwsLCzg6OrLfqZ9//hmA+HdKG8j7/sbHx+Pbb7+Fj48PjI2NYW9vz7avfKCtjjaW7z1wc3OTWs7Ozk6uY3Fph6enJ1atWgUDAwO8f/8eEyZMgIuLC7p06YKtW7eKrPGibsIFHisyNjZm/18+s5E2UPV1jQszMzNs3boVpqamyM7Oxrx58+Du7o42bdpg3bp1ePfundLnENa5sr8R8razss9aUlBMqhb1WBCd4ubmJtfTIlkkdaMqKicnh/2/qakp59f27t0bY8eOrfQ1wuFIqpaQkIC2bdsiNjYWDg4OmDNnDurVqyey0vigQYMkBjbKvAeKkPc85fdlZWVJLaeKz19eirxHwv2y6g5Ubf2XLFmC8+fP4+7du9i6dSu6d++Obt26Vfq6b775Br/++it4PB769euHjh07wtPTk6377t27sWfPHnVXnxN53t8LFy7g888/R15eHgIDA7FmzRr4+PiwT//fv3+PQYMGqa2Oubm57P9lfa+kDa8RUrYd48ePR9OmTbFq1SocPXoURUVFiIiIQEREBCZMmIDRo0fjxx9/hKWlpYItVExV/k6oiqqva1x98cUXuH//PlauXIkDBw4gNzcXly9fxuXLlzFt2jT0798fq1evFuuFlJewnfJe/wDtuX4TbiiwIISD8k9NFH0iWf61jo6OSgdKypgwYQJiY2NhaWmJO3fuSByyIe0PgjLvgSLkPU/5feoKxBSlyHsk3K8tdQfKVmjfv38/QkJCkJubi5EjR+LRo0cyX3P8+HH8+uuvAICff/4Z06ZNEysjbTy3Oqh6EcPCwkIMHDgQeXl5aNSoEW7duiW2gr065lWUV/5GXdb3StbTW1W1o3Hjxvjjjz+QkZGBo0ePYt++fbhw4QIKCwuxfv16PHjwgF2PgPxPVV3X5Pn+16lTB1u3bsW6devw999/48CBA/j7779RUlKCffv2ITIyEg8ePOD0AMnKygrp6elyX/8A7boGEsVR6EcIB7Vq1WKfnCjaXVz+tW/evFF53eRVUFCAv//+GwDQvXt3hceBK/MeKKL8uFxZ50lMTGT/L21CfFWTt+7l92tL3YX8/f2xZs0aAEBKSgq+/vprmeUPHToEoOzJ4rfffqv2+gnny0gb6qLqp7xXr15l54Z88803YjfjVaH872pSUpLUcunp6VL3qbodtra2GD58OP799188evQIjRo1AgBcuXIFZ86cUerY+khV1zVhr5Qqvv/m5ub48ssvcfToUbx8+RIdO3YEADx//hw7duyQ+zjlCdtZ2fVPG6/fhBsKLAjhwMrKip2YePfuXZllx4wZgy+//JJ9IlP+tZGRkTKfKC1fvhyGhoYqz1YElGVzEf4xkjXGt3yXfXnKvAdC8jzFbNu2Lft/WecRTiSv+BpNqlu3LptxR1bdY2Nj2RsAbal7eV9//TWbOez48eM4cOCA1LIpKSkAAAcHB6lPOKV9p4QUebotnBORkZEhcf/z58/lPpY8hO0DpP/eVNY+ZTVv3pwN6u/duye1nLRsTYDy7bh37x7mzZsnccXkwMBAkcnLlfVyVUequq4p8/2Pi4vDvHnzkJqaKravRo0aOHToEBtwVvwM5f0dFdY5MzNT5twJYTtdXV3Z7GtEN1FgQQhHwqexCQkJUtNmPnjwAFu2bMG7d+9EbrKEr/3w4QNOnTol8bUlJSXYtWsXeDwe+vbtq+Lal934CSe8Sfvj8+bNG6SlpUk9hjLvAQB2LHf5m5OCggIEBARg1KhRAMpuzoV/nP7880+pwzv2798PoOwJWWWpHqsKj8fDN998A6Ask09cXJzEcsK6GxgYYPTo0VVWP0Vs27aNvQGVdbMinEycmpoq9Yl5+ZslSSpmKhKaMmUKAgICRG6E/P39AQDPnj2TeCxhr5yqlJ8sLe19qKx9ynJxcWFTJp86dQr5+fkSyx05ckTqMZRtx4MHD7B06VKpry1//PLZmUgZVV3XZH3/BQIBIiIipNbh9evXWLp0KW7fvi1xv42NDfu7WPEzlPY7euDAAQQEBLB/18aMGcP2qgjbUlFcXByb0nrcuHE0bE7HUWBBCEeDBg1Cu3btAJRNYqzY5ZyXl8cOG5k3b57U106YMEGkGxgo+4Pw3XffISYmBuPGjYO3t7fK629iYoKuXbsCKLv5qhgYFBcXY9KkSTKPocx7APwvdWD5IWHR0dF49uyZyMTTjRs3wtzcHC9evMAPP/wgdpydO3fi4sWL4PP52Lp1q1ZN8Js+fTrq1q2L0tJSjB07FkVFRSL7Hz58yPZILViwQOpaF5pmb2/PBrqylF87Yfbs2WI56Q8fPlxpSt3yKSXLfzfOnj2Lt2/fimQ7EqbfjI2Nxa1bt0SOc+vWLVy5ckXmuRTVokUL9qZ55cqVYk97U1NTsXDhQpWeU5KffvoJRkZG+PDhA+bMmSO2f/369TKHSamqHYsWLZLY67p7924AZZmHhNcZIkoV1zXh9//kyZNi19+1a9eKXW8kWbJkCQoLC8W2Hz9+HJmZmRLXRHF0dGSDjfK/o1evXsWzZ8/YBCA+Pj6YP38+gLI5V9HR0SLHKSoqwtixY1FaWorAwEA2Ex3RXTR5m2it6OhosYvQq1ev2C52X19fNG/evNLjHDt2DDk5OWxmo/LHqF+/PurXry9S/v379zh37pzIths3bsDQ0BAuLi7suFM+n48jR46gZ8+euHTpEoKDgzFixAh4eHjg9evX2LVrF96+fYvvv/9ebEE2aa8NCAhAcnIyjh07hrt376J79+5YsWKFAu9aWfuuX78usj7GuXPnkJCQAKDshkJ487p27VrcuXMHb9++Rfv27TFs2DA0atQIHz9+xMGDB5GSkgIrKytkZ2cjOjoae/fuFXnflXkPgLIFk3755Rdcv34dM2fORI0aNbBx40bw+XwMHTqULVe3bl2cOnUKvXr1wuLFi3Hjxg10794dhoaGuHDhAg4ePAhTU1Ps3LkTbdq0ETnHuXPn8P79e7x69Yr9fBX9DlV048YNvHz5Ejdu3GC3lR/60atXL3bNBzMzM5w9exbh4eE4e/YsGjVqhCFDhsDR0REPHz7Etm3bkJubiylTprB/gIWEvwOSzmNpaYmePXsqXPfc3FwcPXqUPT5Q9jvi6Ogo8v2WpH379vjuu+/YdLGSdO/eHcOGDcPOnTvx22+/4dGjR+jevTvMzc1x/fp1/Pnnn/Dz80NsbCxyc3PZ9pTPPtSgQQMEBwfj4cOH+Prrr9GvXz9cu3YNT548wZgxY0TWIQkLC0PXrl1x6tQpdO3aFePHj4e3tzceP36MQ4cOYdOmTWwmK+HvQXBwMBo0aMD+rsTExLDHE74XFeskZGJigu3bt6Nnz55ITExEYGAgRo0ahVq1aiEuLg6///67SOAjPGeLFi3g4uLCvvfCzE7C3ytFP8/g4GDs2rULQ4YMwdq1a/Ho0SP06tULfD4fZ8+exd27d7F69WqpWZ2UaYePjw87gfzw4cMICgpC37594eXlhaysLFy5cgUnT56EkZERfv/9d4XSUcv63RKeW9o1Xfj9FX7HJV0DJV3zpRFeO8p/P4R/CyR9XuV/t4TXm/L1r3huZa5rQhMnTsS2bduQkJCAli1bYsSIEbCyssKFCxfw/PlzzJ07l+1ZFtajQ4cOcHV1hbm5OQwMDHDz5k3Url0bgwYNQs2aNVFQUIDIyEgcPHgQPB4PK1asEFuriMfjYdCgQdiwYQOWLFmCgoICJCUl4ffff0dgYCCaNm3Kll2wYAEyMzOxZs0atGjRAiNHjkT9+vXx4cMH7N69G0+ePEFQUBAiIiJEFnss/35WfP+F76Xwd1jS96Vjx44ia3KQKqLZhb8JkW7hwoUMAKn/hg4dKtdxvL29pR5j4cKFYuUvXrwotXxYWJhYeYFAwOzdu5fp1KkT4+TkxBgaGjLOzs5Mjx49mAsXLsism6TXOjo6Mp06dWL2798vV/sq2rFjh8z3bceOHSLlU1NTmWnTpjG1a9dmjI2NGXNzc6ZevXrMzJkzmffv34u9f5Led2Xeg8OHDzOhoaGMqakpY2try7Ro0YI5e/asxLKpqanMnDlzmODgYMbCwoIxMzNj/P39mQkTJjDx8fESXxMWFqb0d6iioUOHynyP4+LixF5TWFjIbNiwgWndujVjZ2fHGBsbMx4eHkz//v2Za9euSTyPrN8Bb29vTnWPi4tT6PstqR0hISFS2ym0a9cuplWrVoyVlRVjZGTEuLu7M3369GGuXr0qsV0VxcfHM71792bs7e0ZExMTxt/fn1m0aBFTUFAgVjYvL4+ZO3cu4+vryxgbGzOurq7MkCFDmFevXkls79y5cxmGqfx3RZaHDx8yAwcOZNzc3BhDQ0PGxsaGad68OfPLL78wz549k/h7J+u95/p5RkVFMb1792YcHR0ZExMTxsfHh5k0aRKTmprKXLhwgT3+27dvVdYOoZiYGGbhwoXMp59+yjg7OzOGhoaMqakpU6dOHWbMmDHMkydPFG6PrN8t4bmlXdOF319Z77Oka740sq4dkj4vWeeVdW4u17Xy3rx5wwwZMoRxcXFhjI2NGV9fX2bu3LlMbm6uxO/4uXPnRF67fPlypkOHDoybmxtjbGzMmJiYMLVq1WIGDx7M3Lx5U+p58/PzmSlTpjCenp6MkZER4+XlxQwdOpR59+6dxPLXrl1jvvrqK8bDw4MxNjZm7OzsmFatWjEbNmxgCgsLFXo/he+lrN/hixcvVvreEdXjMYyMtdMJIYQQopNOnDiBHj16ACh7+lt+XDwhhKiD9gxEJoQQQohcCgoKcOfOHZlj6F+8eAGgLDU0BRWEkKpAgQUhhBCiY+Lj49G4cWOZa0ScOHECANheC0IIUTcKLAghhBAdtXTpUokZfXbs2IErV67Azs6OMu0QQqoMZYUihBBCdIww7e/t27cRGBiIgQMHwtvbGzk5Ofj333/x999/w9bWFn/99ZfMBTAJIUSVaPI2IYQQooNu3bqFgwcP4urVq3j58iUyMzNhZmaGmjVrIjw8HJMnT1Yo1SshhCiLAgtCCCGEEEKI0mgolIoIBAK8e/cOVlZWtBw9IYQQQgjRCwzDIDs7G+7u7hJXgC+PAgsVeffuHby8vDRdDUIIIYQQQlTu7du38PT0lFmGAgsVsbKyAlD2pltbW1f5+QUCAVJTU+Hk5FRpNKlLdL1dul5/afSxXfrYJkD/2qVv7RGidukGfWuPkL61S9/ao2lZWVnw8vJi73VlocBCRYTDn6ytrTUWWBQUFMDa2lqvfol0vV26Xn9p9LFd+tgmQP/apW/tEaJ26QZ9a4+QvrVL39qjLeQZ6k/vNiGEEEIIIURpFFgQQgghhBBClEaBBSGEEEIIIURpFFgQQgghhBBClEaBBSGEEEIIIURpFFgQQgghhBBClKZTgcX169dRp04d8Hg8xMfHa7o6hBBCCCGEkP+nE4FFfn4+pk2bhk8//RTPnz9XyTGfPXuGQYMGwc3NDaampvD19cX06dORmZmpkuMTQgghhBBSnWh9YPHy5Us0bNgQf/31FyIiIlRyzEuXLqFRo0a4c+cOdu7ciZiYGMybNw+//vorQkJCkJSUpJLzEEIIIYQQUl1o/crbjx8/Rvv27bFixQpYWloqfbyMjAz07dsXDMPg9OnT8PHxAQDUqlULJiYmGDhwIIYMGYJz584pfS5CCCGEEEKqC63vsejatSs2bdqkkqACANavX48PHz6gR48ebFAh1L9/f7i7u+Pff//Ff//9p5LzEUIIIYQQUh1ofWBhYGCg0uMdOnQIANC+fXuxfXw+H+3atQMA/Pnnnyo9LyGEEEIIIfpM6wMLVcrNzcXjx48BAAEBARLLCLdHRkZWWb0IIYQQQgjRdVo/x0KV4uLiIBAIAACurq4Sy7i5uQEomzQuS2FhIQoLC9mfs7KyAAACgYA9R1USCARgGEYj51YnXW+XrtdfGn1slz62CdC/dulbe4SoXbpBV9tTXFwMIyMjAEBJSQn4fD74/P89W9bVdkmjb+3RNEXex2oVWAhv/gHAzMxMYhlzc3MAqDTt7LJly7B48WKx7ampqSgoKFCiltwIBAJkZmaCYRiRi4Wu0/V26Xr9pdHHduljmwD9a5e+tUeI2qUbdLU9vXr1wtGjRwEAmzZtgpubG3r16sXu19V2SaNv7dG07OxsuctWq8BClWbPno2pU6eyP2dlZcHLywtOTk6wtrau8voIBALweDw4OTnp1S+RrrdL1+svjT62Sx/bBOhfu/StPULULt2gi+1hGAb37t1DUVERPD09cf/+fWRnZ8PZ2Zkto4vtkkXf2qNppqamcpetVoFF+Rv+/Px8iWXy8vIAADY2NjKPZWJiAhMTE7HtFbsXqxKPx9Po+dVF19ul6/WXRh/bpY9tAvSvXfrWHiFql27Qtfbk5eWhpKQEt27dgpeXF4qKihAbGytWf11rV2X0rT2apMh7WK3e7Vq1aoHH4wEAkpOTJZYRLo7n6+tbZfUihBBCCFGH9PR0tGrVCjdu3MCrV69Qu3Ztjc0HJfqvWgUWFhYWqFevHgDg6dOnEssItzdu3LjK6kUIIYQQog4fP35Es2bN8PTpU1y/fh3NmzeHr68vXr16pemqET1UrQILAOjbty8A4Pz582L7BAIBLly4IFKOEEIIIURXpaenw8HBAcbGxrh06RKaN2+OkJAQ3Lt3T9NVI3pILwOLM2fOwM/PD+PHjxfbN2HCBDg4OOD48eOIi4sT2ffHH3/g3bt3aNeuHVq3bl1V1SWEEEIIUYv09HTY2dkhNDQUly5dQs2aNRESEoKoqChNV43oIZ0ILFJTU5GcnCwyL0LSNqENGzbg5cuX2LhxI9LS0kT22dnZ4eDBgwCA8PBwnD17FnFxcdixYwfGjBmDmjVrYs+ePeptECGEEEJIFfj48SPs7e3RvHlzNGjQADweD3Xr1sWTJ080XTWih3QiK1Tjxo3x+vVrkW1NmjRh/88wjMi+QYMG4erVq/jss8/g4OAgdrx27drh3r17+P777zFkyBCkp6fDw8MDo0ePxvz582Fra6uWdhBCCCGEVKX09HTUrFkTLVu2hLe3NwDAyMgIJSUlYBiGTWpDiCroRGARHx+vUPn+/fujf//+MssEBARg//79StSKEEIIIUS7paenw97eHsbGxqhduza7vXHjxjh37hw6deqkwdoRfaMTQ6EIIYQQQojiPn78CDs7O7HtkydPxqpVq8RGfRCiDAosCCGEEEL0lLDHoiJbW1u0bdsWx48f10CtiL7SiaFQhBBCCCFEcTk5ObCwsJC4b8KECejbty9+//13FBUVwdjYGDweD5mZmfj3339hZGRUxbUluo4CC0IIIYQQPSZtgraFhQVOnz4NgUCAlJQUODs7g8/nY9y4cUhKSkKNGjWquKZE19FQKEIIIYQQwvLw8EBiYqKmq0F0EAUWhBBCCCGE5e7ujnfv3mm6GkQHUWBBCCGEEKLjJK2kLRAIOB2LeiwIVxRYEEIIIYTosISEBLRt2xalpaUi27Ozs2Ftba3w8SiwIFxRYEEIIYQQosN27twJHx8fvHjxQmS7tFSzlfHw8KChUIQTCiwIIYQQQnSUQCDApUuXMHXqVLHhUOnp6RIXx6uMjY0NMjIyVFRDUp1QYEEIIYQQoqMuXLiAtm3b4pNPPhELLKStul0ZaelpCakMBRaEEEIIITrq2LFj6NevH/z9/fHs2TORfVyHQhHCFQUWhBBCCCE6KjMzE05OTjAwMIBAIADDMOw+rkOhAMDKygpZWVmqqiapJiiwIIQQQgjRUbm5uTA3NwcA+Pj4IC4ujt338eNHzj0WNIGbcEGBBSGEEEKIjiopKYGRkREAICQkRGSehTI9FpRylnBhqOkKEEIIIYQQ5YWGhmLq1KmIiYkBUDaxe/LkyZyORYEF4YICC0IIIYQQPRAcHIxVq1ahqKgIANCtWze4uLhwOpa7uzuuXr2qyuqRaoACC0IIIYQQPcDj8dCgQQOVHEvXeyzu378PQ0ND1K9fH87OzpquTrVBcywIIYQQQogINzc3nZ68PWvWLFy7dg0//PCDpqtSrVBgQQghhBBCRJiYmLBDqnSRs7MzZs2apdPBkS6iwIIQQgghhIjR1RW4BQIBeDwejI2NUVxcrOnqVCsUWBBCCCGE6KDS0lLw+XQrV1FBQQFMTU0BQGTBQKJ+9G0khBBCCNFBeXl57OJ45H/y8vJgZmYGADA2NkZhYaGGa1R9UGBBCCGEEKKD8vLyYGFhobbjGxkZ6eQ8i/z8fDaw8PT01OnsVrqGAgtCCCGEEB2Um5ur1h4LW1tbZGZmqu346pKXl8cOhfL09ERCQoKGa1R90DoWhBBCCCE6SN09Fra2tsjIyICTkxPnY5w+fRqPHz9mf27UqBE6dOigiupJVb7HwsvLC2/fvlXr+cj/UI8FIYQQQogOqooei4yMDE6vzcjIQP/+/XHjxg00a9YMzZo1Q9OmTbFhwwbVVlKCij0WFFhUHeqxIIQQQgjRQVXVY8HFgQMH0KNHD3z11Vci21etWqWCmslWsceChkJVHeqxIIQQQgjRQdrcY3H58mWEh4ertkJyKt9j4e7uTpO3qxAFFoQQQgghOig3N1creywEAgGysrJga2ur8jrJo3yPhZGRES2SV4UosCCEEEII0UHqXseCa2Dx4MED1K9fX+I+Q0NDtd/ol++xIFWLAgtCCCGEEB2krT0WFy5cQPv27SXuc3BwwMePH5WsmWzleywAwNTUFAUFBWo9JylDgQUhhBBCiA7S1h6La9euoWXLlhL3OTo64sOHD0rWTLaKgYWHh4fWzLPYsGEDPv/8c4waNUrTVVELCiwIIYQQQnSQNvZY3L17FwKBQGrAo4nAQptSzkZERODEiRPIyspCTk6OpqujcpRulhBCCCFEB6m7x8LS0lKhm98VK1bg8ePH2LZtm9QyVRFYVJxjYW9vzzm7lSqVlpaCz+eDx+OhYcOGePDggdSeHV1FgQUhhBBCiA5Sd48Fj8dTqPyVK1fw999/yyzj6OiIN2/eKFOtSlXssbC2tkZWVpbazicQCHDnzh00adIEABAZGYmbN2+y+0NDQ9GiRQs8e/YMAQEBAICQkBBERUXpXWBBQ6EIIYQQQnSQuhfIU0RxcTEMDSt/Xq2JHgt1Bxbx8fHo1KkT0tPTUVhYiJkzZ6JOnToICAhAQEAAFi9eDACIiopCSEgIAKBRo0aIiopSW500hXOPhY+PDwDAyckJt27dUlmFCCGEEEJI5dS9QJ4i3rx5g5o1a1ZazsHBocrnWFhbWyM7O1tt53v69Cnat2+Pn3/+GW5ubhg+fDg6derE7v/rr7/w8uVLREVFYcyYMQAAFxcXpKSkqK1OmsK5xyI+Ph4eHh5sFEYIIYQQQqpOYWEhTExMNF0NAMCLFy/g5+dXaTlN9FhYWVmptcfi6dOnGD9+PB49eoRjx45hwIABIvt79uyJ48eP48WLF6hduza73cTERO/S4HIOLIyNjfHrr7+ic+fOqqwPIYQQQgiRk6LzIBQl74J2sbGxcgUW1tbWyMzMVEXVpCoqKoKxsbHIOdUdWAQEBGDp0qVYtGgRDAwMRPa3bdsW58+fB8Mw4PP/d+tdv359PHz4UG310gTOgYW3tzeMjIwqLVdcXIwrV65wPQ0hhBBCCNEQW1tbZGZm4ueff8bmzZullouNjRV5Gi+NugMhSedRR2CxYsUK3Lt3DwCQlJQEV1dXBAcHo3Xr1mJlTUxMYGlpCV9fX5Htwgnc+oTzHIsBAwbgjz/+wIIFC2SW+/jxI9q2bYvS0lKupyKEEEIIIRogXMvi0qVLsLS0RIMGDdCiRQuxcvHx8fD29tZADStnZWWl8jkWDx48QElJCRo1agSg8oBp+PDhEAgEItuaNm2Kfv364dSpUyLbLS0tsX//fpXWt6pwDizmzJmDPn36YObMmRg/fjy8vLyklmUYhutpCCGEEEKIhtja2iIhIQGmpqbYunUrvvjiC3bCuEAgwODBg9GvXz+UlJTIlRVKEwwMDMRu6pWVkZGBmzdvIi0tDfb29pWWlzR1wMXFBZcuXRLb3r17d1VUUSM4fwPq1KkDhmHw999/Y+XKlTAzM4OTk5NYxFZaWlpl3V6EEEIIIUR1bG1tceLECXz66aewtrbGv//+y+4rKSlBeHg4evfurVBQYWpqKpa5Sd1U/ZBbuNDd/fv32bUpiBKBRXx8vMjPeXl5eP36tcSyFFgQQgghhOgeW1tbHDlyROLCd4aGhmjcuDH+/PNP1KhRQ+5jOjo6Ii0tDZ6enqqsapURBiktWrTAjh070Lt3b7WcQxfvnzkHFjweD7dv34ajo6PMcikpKWjWrBnX0xBCCCGEkAqqapi5ra0t8vPzUa9ePYn7R4wYgc8++wyTJ0+W+5jClLO6GlhkZWXBxsYG7du3x4IFCzB37lyVHt/MzAwFBQVV2qOjKpwDCz6fjxo1asDJyUlmOQsLC4WiWEIIIYQQIltVDSWytbVFu3btpD499/Pzg7e3t1ypZoWqYi0LdUpMTISHhwcaNWoEa2trsWxPyhJmsapWgYU8OY2Bsi9PXFwc19MQQgghhJAK8vLyqmTV7dDQ0EoXQ964caPMJD4VqTOwkDa319DQUGUTzBMTE+Hu7g4DAwP8888/ImtmqIJwQT8XFxeVHrcqcF7HQpKcnBzk5OSo8pCEEEIIIaSC3NxcWFhYqP085ubm8Pf3l1mmbt26sLS0lPuY3t7eePnypbJVk6igoEBiwKXKlLPCHgugbC0KVbO2tlZ5etyqonRgER0djQEDBsDR0RE2NjawsbGBg4MDBg4ciOjoaFXUkRBCCCGElFNVPRbqEBoaqraF4fLy8iQOIVLlInnv3r1jAwt1UPdK4eqkVGCxZ88eNGnSBH/88Qc+fvwIhmHAMAzS09Nx4MABNGnSBHv27FFVXQkhhBBCCKqux0IdzMzMkJ+fr5YJ6Pn5+RIDLlXerAuHQqmLLgcWnAea3bt3DyNHjoSlpSVGjx6NJk2asGPB3r9/j9u3b2PPnj0YNWoUgoOD0bBhQ1XVmRBCCCGkWtPlHgsAqF27NmJjY1G7dm2VHldWj4WqhhclJSXBzc1NJceSRDjHQhdxDixWrFiBwMBA/PvvvxJTzg4aNAjz589Hx44dsWLFCp1dmpwQQgghRNvoco8FADRv3hw3btxQeWBRFT0WxcXFKp+wXZ61tbXYenG6gvNQqCtXrmDlypUy17FwcnLCzz//jMuXL3M9DevMmTPo2LEj7O3tYWFhgZCQEGzYsIHTEu0FBQXYtm0bWrduDU9PTxgbG8PZ2Rnh4eE4ceKE0nUlhBBC9NHff/+ts09S9Y2u91gIAwtVk9ZjoUu9ALo8FIpzYPHhwwe5ljAPCAhAWloa19MAAJYvX47w8HCYmpri3LlzuHfvHjp27IgJEyagZ8+eKCkpkftYeXl5aNmyJb7++mtYWVnhwIEDePbsGfbu3Yv09HT06NED06dPV6q+hBBCiD7asmUL1qxZo+lqEJQt0mZtba3panBWo0YNvH79WuXHVXePRUlJCQwMDJQ+jizVMrCwt7eXK1XYixcvYGdnx/U0uHr1KmbNmoXAwEAcOXIEoaGh8Pf3x/Lly/H111/j5MmTWL58udzH++233xAVFYVatWrh2LFjaN26NWrVqoVOnTrh9OnTsLKywsqVK9WWrYAQQgjRVQKBALdv31b6gSFRXmZmJmxsbDRdDc54PB4sLS1VnlZV3VmhUlJS1L6+RLUMLFq3bo2ZM2fKXLciMzMTs2bNwqeffsr1NFi0aBEAYMKECTAyMhLZN23aNABl8z3y8/PlOt6LFy8AlKU6qzg+zt7ens3VfPHiRc51JoQQQvQRj8fDzJkz8dNPP2m6KtVeZmamTvdYAECdOnXw6tUrlR5T2orkykzefvnyJS5fvozLly/j9OnTas0IBejWsK2KOE/enjZtGlq2bIk6depgyJAhaNKkCZydnQGUZYW6desWdu3ahbS0NGzcuJHTOVJTU3Hp0iUAQPv27cX216lTB56enkhISEBERAS++OKLSo/ZoEEDAEBMTAwYhhFZnbGgoIBdJVwXl1EnhBBC1O3TTz/F1q1bcfXqVbRu3VrT1am2dL3HAgCcnZ2RkpKi0mPm5eVJDLiU6QUYM2YMwsPD2Z8HDhzIuX7yUOViflWNc2DRtGlT/PLLL5g0aRJWrFghsQyPx8P69evRuHFjTue4c+cOBAIBjIyM4OvrK7FMQEAAEhISEBkZKVdgMXLkSEREROD48eMYN24cFixYAFdXV8THx2PatGn4+PEjjI2N0bFjR051JoQQQvRR+SxEmzZtQs+ePbFr1y64urrC0JDz7QThiAILyfLz8yUOVeLaC1BUVARLS0t2lExVMDIyUmj+sDZR6kowbtw4NGrUCMuWLcOFCxeQl5cHoGz59/bt22P27Nlo1qwZ5+ML53A4OTmBz5c8akuYR1jepeENDQ1x7NgxnDlzBjNmzIC7uzsMDQ3ZD9DCwgKbN2+uNP1ZYWEhCgsL2Z+FX1aBQMApU5WyBAIBGIbRyLnVSdfbpev1l0Yf26WPbQL0r1361h4hXWhXcnIynJycIBAIYGFhgfXr12Py5MlISkrC5MmT0bt3b7HX6EK7FKFN7cnMzISVlZVK6qKpdjk6OuLBgwcqPW9ubi7MzMzE2mNpaYnMzEyFz/X06VP4+/tX+XujLd8zAArVQ+lHDM2bN8eJEycgEAjw4cMHAGVfFGmBgCKEN+uyhiUJZ/5nZmbKfdyNGzfiu+++Q2hoKE6fPg1vb2+8evUK//zzDwYPHowmTZpUeoxly5Zh8eLFYttTU1NRUFAgd11URSAQIDMzEwzDqOS91xa63i5dr780+tgufWwToH/t0rf2COlCu549ewZzc3P2CbO9vT02bNiAd+/eYeXKlRKHRelCuxShTe3Jzs5GVlaWSsbia6pdhoaGiIuLU2mvRWpqKvLz85GRkSHSHoZhkJGRofC5rl+/jho1aqi8Z6UyRUVFVX5OaRQZlqWyvks+n8/OsQDKxrjt3r0bn376KQIDA1V1GqVt3LgR48ePR61atXD+/HmYmJgAAAIDA9G2bVvUqVMHffr0wc8//yw2Wby82bNnY+rUqezPWVlZ8PLygpOTk0YmUwkEAvB4PJm9O7pI19ul6/WXRh/bpY9tAvSvXfrWHiFdaFdxcTF8fHxE/tYDZcNZ0tLSxLYDutEuRWhTe4yMjCS+51xoql18Ph85OTkqa4fwmB4eHrC1tRVrj4mJicLnevPmDfr06aPSOspDuMaaNjA1NZW7LOfAwsfHB5GRkXBwcJC4Pzs7G+PGjYOhoSF2796N/v37K3wO4Q26rIxPwuFX8o4zFGaymDBhAhtUCFlYWOCbb77BvHnzYGhoiJUrV0o9jomJidjrgbIvtKYuNjweT6PnVxddb5eu118afWyXPrYJ0L926Vt7hLS9XampqXB1dZVYPx8fH8THx8PHx0dsn7a3S1Ha0h5hPVR9vKpsl6OjIz5+/KjScxYUFMDCwkJie7i8Z8+ePUNgYGCVf96q/nyVoUg9ONc4Pj4epaWlUve7uLggLS0NkyZNwtKlSzmdQzhhOzU1Ver4rqSkJJGysqSkpCAhIQEAULduXYllhNu3bNkis32EEEJIdZKSkiL1CWr79u1x4cKFKq4R0XV8Ph8Mw6j0mLJWJGcYBoWFhZg/fz6mTJmCKVOmYOrUqUhOTpZ6vMLCQoWe2KsKn8/XyftQtaZxsLOzw7hx47Bp0yZOrw8NDQWfz0dxcTFevnwpcUL106dPAUDhzFPl08yWJ4zKhGMXlVncjxBCCNEXsgKLNm3aYNKkSRg1alQV14pUJ3FxcTh69KjMMlFRUTAzMxNJsFPe5MmT8emnn7LzaSMiInDu3DkMHjxYrGxOTg6bCa2qWVlZIScnR+cyf8kdWGRlZSEjIwMA2OgyISFB5kTl3Nxc7Nq1i/OaEM7OzggLC8PFixdx/vx5scDi2bNnSEhIgJWVFTp37lzp8RwdHWFnZ4f09HQ8e/YMn332mViZZ8+eASibMK5rHyYhhBCiLrJWHHZ0dMSHDx9w+PBhdluTJk3g6elZVdWrVoqLi2XOA9U1FdcVk+bs2bMoKiqSmXG0adOmsLa2Rmpqqti+kpISODk54auvvmK3tW3bFrt27ZJ4rMePH6NevXpytED1hGtZ6Nq9qNyBxZo1a/D999+LbJO3l0CZhUQWLlyIixcvYsOGDRg1apRIruxVq1YBAKZPny7S7RUVFYVBgwahXr16OHDgAPsaPp+PQYMGYf369di4cSM7B0SosLAQmzdvBgD07NlTa8a2EUIIIeqUlpYmdc6kUHZ2tsyntz/++CMeP37MHu/KlStYu3atKqtJ/l9WVpbOr7otJHwyb2VlVWnZ9PR0tG7dGi1btpRZTtrw+Z9//llsKLy/vz+eP38usq20tBR3797F6dOn0bBhw0rrpQ7KLOinSXIHFra2tqhRowb785s3b+Dh4QEDAwOJ5fl8PmxtbREWFoZFixZxrmBYWBiWLl2KuXPnolevXli8eDEsLS2xfft2bN26FV26dMHs2bNFXrN9+3bExMQgJiYGs2bNQmhoKLtvyZIluHnzJiIjI9GtWzfMmzePTTe7cOFCvH79Gv7+/li9ejXnOhNCCCG6Ij4+Hs2bN0dUVBS7NpQ0sp4qh4aGsn9v8/PzMWTIEJXWk/xPZmam3gQWwkXy5AksMjIylBqiHhQUJLbNyMgIxcXFIttOnz6N3bt3IyQkBO3ateN8PmXofWAxadIkTJo0if2Zz+fjzp07VZIKa86cOWjUqBFWrVqFdu3aobi4GP7+/li3bh2+/fZbseCmb9+++PPPPxEYGCjWhWVtbY1r167h119/xcGDB/H5558jOzsblpaWqFu3Ln766SeMHz9eY2PqCCGEkKr0+vVrdO3aFSNHjsTx48dVMsTGzMxMI2s6VRf6sOq2kLOzM96/fy9XEp709HTY2tqqvA62trbIyMhgj/3w4UNMmTIFLVq0UPm55KX3gUVFQ4cO5Tx3govw8HCEh4fLVTYsLEzi2DohY2NjTJw4ERMnTlRV9QghhBCd9Pr1a3z22WfIyMjA3r17MXz4cLEypaWlUkcokKqnb4GFvAvBpaenqyWpTlBQEB49eoRWrVoBAB49eoRvv/1W5edRhK4GFpwnEezYsUOubitCCCGEaK/Xr1/D29sbnTp1QmRkpMQy8szBkETVqURJmaysLL0JLFxcXOQOLAoKCtTyUFsYWAhpQ+AmnLyta5SanXzy5EmcOHECERERYvu2bduGu3fvKnN4QgghhKjZ69evUaNGDdSoUQOvX7+WWEZWqllpdPWJqy7QhhtfVVGkx0JdgoOD8fDhQwBAUVGRVmTc0tXfH86BRUREBHr27IlevXph9OjRYvv/+usvNGnSBHPnzlWqgoQQQghRH2HQwOPxYGBggJKSEqllFOHm5sYuYktUS98mb79//16jdSgfVD9//hx16tTRaH2AssAiIyMDv/32G+7du6fp6siNc2Bx6NAhWFlZYd++fYiLixPbf/ToUWzYsAFr1qwRyWtNCCGEEO0iTK9et25dduHZDRs2YPbs2Zg9ezY2bNhQacaoiiiwUB/qsVAt4QrgJSUlePToEYKDgzVaH6BsQvmmTZuQmpqKNWvWaLo6cuM8efvGjRtYunQp+vfvL3G/qakpvvnmG+Tk5GDdunXo06cP50oSQgghRPUqzoEICQlBVFQUjI2NcevWLcyaNYvdp+hTXGFgoakFxvSZPgUW5ubmyM/Pr7ScvIvocdWtWzfs2bMHsbGx6Nu3r9rOIy8/Pz88f/4cNjY26Nmzp9omrqsa5x6L169fo3379pWW69atG/v0gxBCCCHaIyUlBU5OTuzPwsDi999/x4QJE1CvXj32X/kFZeXh5uaG5ORkVVeZQL8CC3kJlwZQl5EjR2Lv3r2Ijo5GQECA2s4jLx6Px37GgwYNwv79+zVcI/lwDiz4fL5cFxkjIyO5IlFCCCGEVC1hRighX19fxMTEICoqCo0bN1bq2DQUSn30KSsUIF/2MGUXx6uMsbExhg4dipcvX8LU1FRt5+Gie/fuOH78uE5kWeMcWNSuXRtHjhyptNyRI0fg5+fH9TSEEEIIUZM3b96IBBZ8Ph8FBQX4/PPPlR52okxgUVpaqhM3UZqSm5urVwv5SksaUF5VDAUaOHCgVs5nMDY2xqhRo3Ri0UnOgUXfvn2xYMECrF69Grm5uWL7c3NzsWrVKixYsAD9+vVTqpKEEEIIUb2KPRYAMGXKFAwePFjpYyuTLnPZsmW4c+eO0nXQV+qeb1DVnJyc8OHDB5ll1LXqdnkGBgb47LPP1HoOrr788ssqXZiaK86BxZQpU1CnTh1Mnz4dDg4OaNiwITp27IiOHTuiYcOGcHBwwIwZM1CnTh1MnjxZhVUmhBBCiCoI17Aor2fPnip5MqzMjW92drbEjJNEP8mzSJ6uTF6u7jhnhTIzM8O///6LoUOH4syZM4iOjhYrEx4ejp07d+pEhEUIIYRUNwkJCfD09NR0NcQUFhYiISFB09UgVUSelLPqnmNBVINzYAGUdV2dPn0a9+7dw9mzZ9nFRby9vdGpUyc0atRIJZUkhBBCiOoVFRXB2NhYbcc3NTUVS+ASHx+PBw8eoEePHlJfV1hYiLdv36qtXkS7yLNIXnp6OmrWrFk1FSKcKRVYCDVq1IiCCEIIIUSHlJSUsAvjqYubmxtSU1NF5nE8efIEd+7ckRlYFBQUIDU1Va110xavXr3Chw8f0KRJE7nKCwQCtX9uVc3Z2RkPHjyQWYaGQukGtX8zs7KyMGLECHWfhhBCCCEKePnypdqzNrq7u4utZZGcnFxpdpvCwkJ8/PhRnVXTGgcOHEBERITc5dW9noMm0FAo/aH2wCI/Px+7du1S92kIIYQQooCHDx8iODhYreeoU6cOXrx4IbLt/fv3cgUW6hyipU0uXbqk0EKCycnJcHV1VWONqp68k7fVnRWKKE+poVAFBQXYtGkTTp06hcTERBQVFYmVKS0tVeYUhBBCCFGDR48eoWvXrmo9R0hICE6cOCGyTZ4ei6KiIpiZmaG4uBhGRkbqrKJG5efnw8jIqNKb6vLevn2rlRPulWFvb19putns7GxYWVlVUY0IV5wDi/z8fISFhcmVZ1qfci0TQggh+uDx48eYPn26Ws/h5eWFxMREkW3v37+XqzfC3d0dSUlJYulw9cn169fRtm1bXLlyRe7XJCQkwMvLS421qnoGBgYQCAQyyzAMo3dzS/QR509o+fLliI2Nxb59+/DixQuYm5vj8uXLiIuLQ1xcHK5du4aJEyfC3Nwc//77ryrrTAghhFRbqlqROi8vT+2rN/N4PLFVldPT0yvtseDxePD09NT7zFDnz59H+/btFXrN27dv9S6wIPqDc2Dx119/YenSpfjqq6/g6+sLHo8HDw8PeHt7w9vbGy1atMDatWsxdepUmmNBCCGEqMCLFy/Qp08fpY+Tn58PU1NTFdSocrVr10ZMTAz7s5GREQoLCyt9nZeXl96vZXH//n00bNgQgPwBo7auPaIsHo+nsqCZaA7noVCvXr1CWFgY+7O0L0T//v21dnl0QgghRJf88MMPKnmKHxMTg8DAQBXUqHLBwcGIiopCgwYNAAB8Pl+uG0gvLy9ERkaqu3pVav369Th69Cib1alx48bg8/mwtLRETk6OXHMI9HHyNgCF3gOivTj3WBgbG8Pc3Jz92czMTOKThaKiIoUmJRFCCCFE3MOHD2FiYoIaNWqILTrH5VhBQUEqqplswcHBuHfvHgDFsj15enrqXY9FcnIy1q5dixMnTuDEiRNYvHgxAMDV1bXSBeKEBAIBDAwM1FlNjZCVcragoAAmJiZVXCPCBefAwtvbm71QAEDNmjWxe/dusXKbNm2CtbU119MQQgghBMDPP/+MefPmwdfXF69evVLotZmZmfjyyy/Ro0cP9OjRAytXrkRISIiaairK29sbL1++BFA2cdvFxUWu13l4eOhdYCEty5WLi4tIytmioiLs2LGjKqumcbICi4iICL3spdFHnIdCtWrVCt999x1q1KiB0NBQhIeH44cffkBycjI6duwIADh9+jTOnz+P3r17q6zChBBCSHWUkZEBb29v+Pn5ITY2FvXq1ZP7tQcOHECvXr3Qv39/dltVZWzk8/ng8XgoLS3F+/fv4erqWulwLoZhYGpqKtdcDF1SXFwsscemYo9FSkoKli1bhuHDh4uUy8nJUfuEe00RBhbR0dHYsmULu/3du3fw8/PD8uXLNVg7Ii/OgUW/fv2wbds2DBo0CDExMZg6dSr27t2LiIgInDlzBkDZhcHGxgZLlixRWYUJIYSQ6szPzw93795V6DVHjx7F8ePHNZb+vW7dunjy5AmSk5Pl7rEAVJcBS1vI6rEo3wuVlpaGFy9e4MOHD3B0dGS362OqWSEXFxckJSVhy5YtWLFiBTvXwszMDE5OThquHZGXXEOhoqOjsXv3bty8eZPd1rp1axQUFLCZHqytrXH9+nWMGzcO9erVQ926dTFs2DBERkbC399fPbUnhBBCqoGSkhJ2XH3t2rURGxsr92vv3buHunXrVlkWKEmaNWuGGzdusD0WlREGQLa2tvj48aO6q1dlioqKJAYWFXss0tLS4OvrK3LfBehvRiigrMdi7969CA0NRb169VCjRg3UqFGDggodI1dgMX/+fHz99dc4f/68zHLOzs7YsGEDoqOj8ejRI2zfvh1+fn4qqSghhBBSXZWfm+Du7i626Fx5OTk5yMzMZH/+/fffMWrUKLXXUZbmzZvjxo0bCvdYhISEiMznlCYrKwtZWVnKVLFKSOuxcHV1FZljkZaWhm7duuHGjRsi5fR5DQtnZ2c8evQI06ZN03RViBLkCizu3r2LXbt2Ye7cuey2du3aISMjo9LXCgQCvHnzhnMFCSGEkOouKSmJfdIvK13rqVOn0KpVK2zevJndFhcXV2UZoKQR3jjLkyq1pKQEhoZlI7VDQkIQFRUls/zx48fRqlUr/P777yqrr7pIm2Ph5OQkMnE5LS0Nbdu2RXR0tEg5fe6x8PLywt9//w0bGxtNV4UoQa7AIi0tDc2bNxfZdunSJRQVFVX62tTUVNSqVYtb7Yha6NuYVUII0XdJSUlwc3NjfzYxMRFbvToyMhK7d+/GH3/8wWZTYhgGfD7nBJAqZW9vjydPnlTaY1E+tWjDhg1l9lhkZmbil19+wf79+/H69WuV1lcdpPVYGBoaorS0lP05LS2NfZ/Kr1quzz0WhoaGaNGihaarQZQk19XG3d1d4Yli5dGNrPY4efKkSLYFQggh2q9iYOHj4yOWcnbp0qVYs2YNfH192aFSWVlZWvMEuFmzZoiOjmbneki7NygsLGQDC1tbW5FhXRWlp6ejXr168PPzU8nCgeombY5FRWlpaXBwcEBQUBAePXrEblckXS8hmiBXVqg2bdpg2LBhOHHiBGrUqMF2Ua5cuZJdPVKanJwcjWWhIOIuXLiADx8+YMyYMZquCiGEEDklJSWhUaNG7M/CCdzC1bMvX74Mf39/uLu7A/jfU+63b99qzdCZ5s2bw8HBAUDZIrvShgWVDyyAshWZs7KyJK6JlZGRAVtbW5iamso1ikLTSktLZS5uxzAMeDweG1h8/vnnmD59OszMzACUJcrRlh4oQiSRK7D4/vvvce3aNbEF8FauXCnzdTwej/0lIdrh+fPnCvUgZWRk4NChQ/j666/VWCtCCCGyVOyxCAkJwYQJE9h5BWlpaTh+/LjY67QpPWmDBg3QoUMHAICpqSkKCgqkBhblM1g1atQIDx48QOvWrcXKCgMLXSLtnsjGxgaZmZmwtbVl29WiRQucO3euimtICHdyBRYeHh6Ijo5GREQEnj9/jry8PPzwww+YOnVqpT0W2dnZWLNmjUoqS5QjvIgbGhoiNzdXrkV2nj59iuPHj1NgQQghGlRxCMwnn3wiljGoPOEcDG0ak29kZISNGzcC+F/9JPVClJ9jAfxvAndlgYW5ubncf9u0kXCCu62trVbNjSFEEXIvkGdiYoKePXuyP3///feYPn06nJ2dZb4uOTkZq1ev5lxBojp3795FaGgogLK1SSpOyJfk1atXOjFulRBC9FlJSYlcY/OFPD09kZiYiLdv37LXfW0ia1XtikOhGjVqhH379kksWz6w8Pb2xps3b1C3bl2V17cqeHt74/Xr1wgICNB0VQjhjHM4vGPHDrkmhNna2mLHjh1cT0NU6MaNG2jevLlc6fuE4uLi8OHDBzXXjBBCiCp5enri7du3WjUUqjzhUChJKgYWTk5OUtPblw8satSooROZoaSpVasW4uLiAFDSG6K7OAcWQ4cOFfnFl8bU1BRDhw7lehqiQrdv30aTJk0UDixq166N3NxcNdeOEEKIJAKBQOG5il5eXkhISEBqaiocHR3VVDPuJKXLFao4x0KWij0WuhxYCDN9lZaW0jAoorPom1tNMAyDnJwcWFlZia3wKcv79+8REhLC5kQnhBBStYQZghQh7LEApE8W1iRZQ6EqzrEApD/B16fAombNmoiPj0d6ejrs7e01XR1COKHAQk9kZWXJ3H/v3j02LSFQlupP2kW9PIZhUKNGDQosCCFEQypmhJKHl5eXVs+PU2QolJCk4ELSHAtdZW5ujry8PE6BJCHaggILPTF27FikpKRI3b9t2zaMGDGC/blp06a4cuWKzGMWFxfD0NBQ5MkXIYSQqsUlsHBzc0NMTIzWpmJVdCiUpaWlxCG5mZmZbGYpYbpWXUeBBdFlFFjoicGDB+PQoUMS9+Xl5SE+Pl6kx2Lw4MHYuXOnzGO+ffsWNWrUYMfqEkIIqXpcAgsjIyMkJCRozeJ4FSk6FMrR0VFiIpHS0lJ20V59YGNjg1evXlFgQXSW/vw2VnOdOnXCihUrJHYVHz58GH379hXZ5uHhgcLCQnz48EHqxL64uDjUqlVLrEv95MmT2LBhg9iFPzMzEydOnJArWxghhBD5vHv3Dm3atFH4dQ4ODlqZEQqofChUxTWyhIFFzZo1ZR7X0NAQxcXFCqXm1Sa1atXC3bt30apVK01XhRBOKLDQEwYGBmjcuDEuXbqER48e4dy5c2xWiZSUFPz7779irxk8eDD27t2LyZMnSzzmq1ev4OPjAxcXF3ay96JFi1BQUIBjx47BzMxMpPyyZcvw6NEjtGzZUrWNI4SQaiwuLg7Dhw9X+HWenp5a3WOhyBwLaT0WFbm7uyMpKQk1atRQST2rmo+PD7Zv344ePXpouiqEcKK2wCIvLw+7d+/Gp59+KjIEh6hPv3790KdPH8ybNw8nTpyoNF1dly5d0Lp1a9y7d09ku4GBARYuXIi4uDg0bdoUBgYGEAgEEAgEuH79Os6ePSvxeEFBQXj48CEFFoQQokLJyclwdXVV+HX+/v7w9fVVQ42UZ2JiIjWNuaQ5FvIGFtbW1sjOzlZJHTWhVq1auHfvHg2FIjqLc2Dh4+ODyMhIqV/+7OxsjBs3DoaGhti9ezf69+/PuZJEPl5eXoiNjZW7C9jIyAgXL14Ue2qUmJiI0aNHw8LCArVq1WK337p1C82aNZN6vODgYPzzzz/cKq9F8vLycOvWLbRt21bTVSGEEDAMwyll7JIlS7R2PQRZPRbS5lhER0eLbBMIBGLtMzc3R35+vmorW4Vq1aqFvLw8CiyIzuJ8xYmPj0dpaanU/S4uLkhLS8OkSZOwdOlSrqchCjIwMFCovJmZGezs7ET+BQUFYdKkSfjvv/9gZWUFALCwsMDevXvRs2dPqcdSdNXT+Pj4StPkasL9+/fRr18/nX7qRQjRDyUlJQpf14W0NagAVDMUKisri80IJWRmZoa8vDzVVrYKeXp6wtDQkAILorPUetWxs7PDuHHj8OrVK3WehqhBly5dcPPmTfZnT09PXL58GY0aNZL6Gj6fD4ZhpC5kVNFvv/2Gv/76S+m6qlpsbCw+++wzrFu3TtNVIYRUcwkJCVo7AVsZJiYmUrNCyTsUqvwaFkLCtSC0UWlpaaVBoqGhIerVqydxHQ9CdIHcQ6GysrKQkZEB4H+L1CQkJEh94gAAubm52LVrl9gkX6Ibyg+D8vLyQrt27Srtjndzc0NSUhLc3d0rPX5cXBzS0tI4TUpUp9jYWEyZMgVz5sxBeno67OzsNF0lQkg1JczOp28U7bFwcHDQ2cBC2LMib7aq3bt3V0GtCFEPuQOLNWvW4PvvvxfZ1rhxY7leO3DgQMVqRbRO165d5SoXFBSER48eyRVY5ObmauVQqBcvXsDPzw/Tp0/Hzz//jB9//FHTVSKEVFPC7Hz6RtE5FiYmJigqKhLZJi2w0KY5FkVFRfjqq69w6tQpFBUVyRVY1K9fvwpqRoh6yB1Y2NraiqRve/PmDTw8PKR26/H5fNja2iIsLAyLFi1SuqJEs/z8/OQqFxwcjHv37qFTp05ylbe2tkZmZqZWrX2RnZ0Na2trtG/fHmvXruWckYUQQpQVFxeH0NBQTVdD5SpbeVueoUCSAgszMzOtWn07KSkJOTk5AKDT62sQIi+5A4tJkyZh0qRJ7M98Ph937tyBs7OzWipGdFNQUBD27NlTabmcnBxYWFigSZMmuH37Njp27FgFtatcxfkhc+bMwbJly2i+BSFEI/R5KJQicywk0YWhUImJiWwAVVxcDGNjYw3XiBD14jx5e+jQoTR3gohxdnZGSkpKpeXi4uLg4+OD5s2b48aNG1VQM/mkpaWJrETevHlzJCcn4+HDhxqsFSGkutK2Hl1VUXSOhVD5hz+6EFi8e/eODaCox4JUB5wDix07drCpSAkpj8/ny0xFDJSNG65VqxZCQkIQFRVVRTWrXGxsrNiwr/Xr12Py5Mla1b1OCKkeuKxfoQsqGwol6cm+ra2tyHU4PT1d6+dYlO+xkHeOBSG6TOUrbzMMg+3bt+PevXvw9vbG6NGj9fJpC5HO19cXr169Qu3ataWWiYuLQ1BQEExMTFBcXCz3mFp1e/HihVi9nZ2d8eOPP+Lzzz9H3bp12e1jx44VSb/79u1bvHr1CmFhYWqr38GDB/Hll1+q7fiEEO2Rl5entyMDZKWbBSQHVI6OjkhNTWWDCWlzLLSpxyIxMZHtZaEeC1IdcO6xiIyMhIGBAQwMDLBp0yZ2e//+/TF69Ghs2rQJM2fORJMmTbQy8w9RH2FmKACIiYnBu3fvxMqUz3TSv39/bN26tcrq9/fff0tda0NSjwUANG3aFMePH8eiRYuwaNEizJgxA9OmTUNqaipbZv78+WpdlyMtLQ3Dhg2DQCBQ2zkIIdpDX+dXAGXrNVTWs11RxbUsMjIyxNKBa+NQKGHyD5pjQaoDzoHFwYMHYW9vjz179mDAgAEAgAsXLuDQoUOwsLDADz/8gPnz5yMxMREbN25UuqJnzpxBx44dYW9vDwsLC4SEhGDDhg1K3WT9/fff6NmzJ9zc3GBiYgJXV1e0aNECM2fORFJSktJ1rq6Cg4PZwGLt2rVYtWqVWJm3b9+yiz4NGDAAx44dQ25uLpKSkhAbG6u2ur1+/RrffvstVq9eLXG/tMACKFvw0c3NDW5ubvD19cWaNWswcuRI5ObmIiYmBrm5uXLNL+Hq1KlTMDExYc+Rnp6O3bt3s//Onj2rtnMTQqqePgcWXFQMLDIzM8VW3ta2wKL8HBnqsSDVAeehUP/88w+WL1/OBhUAsG3bNvB4PPaGCwCcnJywfft2zJ49m3Mlly9fjlmzZqFbt244d+4crKys8Pvvv2PChAk4e/Ysjhw5AkND+ZtSWlqKESNG4Pjx45gzZw6WLFkCS0tLPHnyBLNmzcKKFSvQsWNHuLm5ca5zdRYYGMjeuL9+/RoMw4gNdSopKWEvsAYGBhg3bhy++uorNk95RESEQmOLCwsLcf36dfZnBwcHibnAd+zYgV27dmH79u3YtWuXSAploCw1oLxD9xo0aIBJkybh888/B8Mw2Lp1K6ZOnSp3nRX1999/Y8iQIUhISICrqyv++usvvHz5kk1FuWLFCjRp0kRsaABRnffv38PFxUXT1SDVRFxcHPz9/TVdDa3h6OiI//77D5aWlgDKHq5UTHnPNbBISUmBk5OTWue00BwLUh1wDixiY2Px6aefsj+XlJQgIiICVlZWGDx4MLu9Q4cOWLhwIecKXr16FbNmzUJgYCCOHDnC/lIuX74c6enp2Lp1K5YvX465c+fKfcxZs2Zh3759uH79Opo0acJur1mzJurUqYNWrVppxXh/XWVlZYWcnBy8efMGNWrUQMOGDXHixAn07dsXgHhKVwDo1asXDAwM0K1bNyxfvhwnTpxAjx495D7n3r17cfv2bQQEBAAA9u/fjxs3bogEnKWlpbh27RoWLlyITz75BDt27MD9+/dFjjNhwgSF2tq+fXs0bdoU//33n9xrfXCRl5eH/Px81K9fH2/fvsUnn3yCuLg49O/fHw0aNABQlsL39OnTIsF+dVJUVMQOz1SHvLw8BAcH4+XLl5S4glSJV69eoXPnzpquhtZo2bIlXr9+zV63hQ8wy6ts7oY0EydORN++fdG7d29lqykxgGAYhoZCkWqBc2BhYmIicoN47tw5ZGZmYtCgQSK/OCYmJkp1SwoX15swYYLYL+q0adOwdetWrFixAlOnTpVrktuzZ8+wZs0afPnllyJBhZCvry8Ng1IBExMTnD59Gu3atUPnzp0xbNgwNlBISUkRW/+Ex+Ox+ydOnIiePXvis88+A1B2kS4tLQWfL33k3vXr1/H999/Dw8MDQFnPw9OnTxEUFMSWOXfuHDp27AgejwdLS0uFgwhpLC0t2bqqy7///otOnTrBy8sLz549AyA+TKJbt26YMGFCtQ0sduzYgWvXrmH37t1qeer47t07ODg4YN26dZg3b57Kj09IRcKHM6SMi4sLpkyZIrMMj8eTOodOlpycHGzevBk9e/ZU+uHEunXrULt2bbRt2xbW1tYoKipCcXExDYUi1QLnORa1atXClStX2J/Xr18PHo+H/v37i5SLiYnhvGpxamoqLl26BKDsyXBFderUgaenJ7KyshARESHXMX///XeUlpYiPDycU52IfAICArB582a0bduWXYF9wIABGDBgACZPnowvvvhC6mstLS0xZswYDBo0CAMHDsS4cePQoUMH7Nu3T+ofjHfv3rFBBQCJaWz/+OMPkd40dTAwMEBJSYnKj3vp0iV07NgRnp6eePv2LYD/rRAu5OjoiJycHKkpHPVdfHw8AGDz5s1qOX5iYiKGDx+Oa9eu4ePHj2o5ByHlaUu2vOqAz+ejV69e2Ldvn9LHysnJwblz55CYmAgPDw92zQ4KLEh1wDmwGDhwICZNmsQ+XT5z5gy8vLxEbtgzMjKwZMkSNGvWjNM57ty5A4FAACMjI/j6+kosIxz6EhkZKdcxz507BwDw8/PDvn370KZNG7i4uMDNzQ0dOnTA3r17OT3tIKKCg4MhEAjY8ehTpkzB4cOH2X9du3aV+fq+ffvi8OHDOHToELZt24azZ8/izZs36N27N16/fi1SNj09XSwzSMXAgmEYvH//Hu7u7ipqoWQVJxeqSlJSEjw9PeHl5cUGFpK0b98eFy5cUPn5dUFCQgLWrVvHfldUTRi8Tpo0qUqzmJHqif4OVb2vv/4ax48fR/fu3dG9e3e0bt0a//77r8LHKSgowJUrV9hrhnDNDppjQaoDzkOhxo0bh2PHjmHDhg0AynJHCydvA8DixYuxatUq5Obm4rvvvuN0jpcvXwIomwAubRiMcIK1sKwspaWlePz4MYCyeRavXr3CsmXLEBISgoSEBCxevBiDBw9GREQE9u7dK3M4RWFhocg4TmFKXYFAoJF0oAKBAAzDaE0q0tDQUAwYMEDp+gjbZWBggJkzZ+L58+eYNGkSm6bwwIEDuHHjBpo0aSJyLh8fH7x48YLd9vTpU/j7+6v9/XFyckJycjI71Euez+X+/fuIj49Hz549pZbJzs6Gubk5+//s7GyYmZmJHbdHjx4YOHAg1qxZgwULFqBly5bKN0oCbfu+AWUBpo2NDSZOnIjt27djwYIFCr2+sjYlJCQgNDQUzZs3x6ZNmzB9+nRVVFvttPGzUoa+tUeoYrs+fPgABwcHnW+nrM9L0e2KnlfRsoaGhjh06BC7/dGjR9i9ezfatWsnUray+hUUFMDBwQG3b9+Gr68vnj9/jvz8fBQWFsLQ0FArP1N9+73St/ZomiLvI+fAwszMDFeuXMGVK1eQmpqK5s2biwxF6dChA2rWrAkAlT6dlkZ4sy5r7oTwZkueVZEzMzNRXFwMALhy5QqioqLYBc4CAwPRqlUrBAUFYf/+/QgLC8Po0aOlHmvZsmVYvHix2PbU1FSNDEURCATIzMwEwzAy5yJUFWtrawwfPlzp9KsV22Vra4tff/0VQFmWpOXLlyMvLw8dOnQQO1dRURGSk5PB5/Nx/PhxhIaGqjUdLFD2fXz+/Dk7/E+ez2XPnj3Izc1FixYtpB63qKiIrXtRURHu3r0LFxcXsfaYmZnhyJEjuHr1Ki5cuCBzkUJlaNv3DSh7X1JTU1G3bl0sWrQIX3/9tUJjpStr04sXL9CyZUv2OvLmzRuYmpqqsglqoY2flTKUbc++ffswcOBANdRMORXbdf/+fTg7O6v9mqVusj6v8tc1ebbLq7CwUKHXp6enw9TUVOw1jo6OePDggch2eb5/6enpaN26NXbu3IlVq1ZBIBAgMTERaWlpKCkp0crPlK4TRJbs7Gy5yyq18jaPx5O6ynDLli3V9rSUq/KTyFu3bi2yajJQdlP49ddfY86cOVi/fr3MwGL27NkiqUWzsrLg5eUFJycnsbzaVUEgEIDH48ns3dFFsto1fPhwdO7cGaWlpVi6dKlYto169eohKysL/v7+iIqKwtixY9W+CryPjw+KiopEeiwq+1xiYmJgYWEhNqG9PGNjY3a/iYkJ0tPTERgYKPU1devWxe3bt2UeUxna9n1jGEbkPQoPD0d0dLRCk+ora1NGRgaCg4NhYWGBNm3aIDY2VuRJprbSts9KWcq2Z/Xq1Rg4cKDafje4qtiujIwMBAUFaV09FSXr8yr/OytUWloKU1NTpdot6biypKenw8vLS+JrzMzMYGtry/59kef7x+Px0LdvXyxZsgRBQUG4ceMGLCwsYGpqChMTE638TOk6QWRR5CGaUoFFeZmZmezYby8vL5XcwAlv0PPz86WWEQYL8pyvfM9HYGCgxDLCNQEeP36MvLw8tkekIhMTE4mT6vh8vsa+xDweT6PnVxdZ7Zo2bRqWLFki8UsfGhqK+/fvo3bt2sjNzRWbh6EOrq6uePDggUhdZdU/KysLVlZWyM/Pl/q5CSdwCve7urri9u3baNeundTXeHh4sL016sLl+1ZSUoLIyEg0b95capn379+joKAA3t7ech83NTUVzs7ObF2GDRuGqVOnKpykQVab8vPz2TSzHTp0wNGjR9GhQweFjq8p+nZt4NqerKwsJCUl4cmTJ5yTiqhT+XbFx8ejVatWevGZSfu8jIyMIBAIRNKCFxQUwMzMTKl2C88nr7S0NJHrR3mNGjVCdHS0SBbJyr5/hYWF8PPzQ7169eDh4QEzMzM2u2H5a7m2oesEkUaR91DpdzsiIgItWrSAg4MDGjRogAYNGsDBwQEtW7bEmTNnlDq2cMJ2amqq1PFdwtSw0iZ3l2dra8vegNrb20ssI7xxYBgGGRkZilaZVLHPPvsMR44ckbgvJCQEhw4dwvr169GwYcMqqY+iQxeuXr0qsh6MJCkpKSKLsnl5eeHKlSsyV+S1tbXVyu/v7t27K10s88SJE9i7d69Cx3379i08PT3Zn93c3JCfn4/c3FxO9axMo0aNcO/ePZUfNzY2ll0kkqjes2fP0KxZMzx69Egj509OTpY7o1h1WHVbOKm5PFVkwuLz+QqNCRcujidJixYtcOPGDYXOX1BQABMTE1y+fBnGxsYwNTVFYWEhrWNBqgWlAotly5ahW7duuHnzJjtRRjhZ5saNG+jatSuWLVvG+fihoaHg8/koLi6WOjn76dOnAIDGjRtXejwDAwN2Neb3799LLCPczuPxaAVjHcDj8WQOB/rqq6/g6OiISZMmVUl9FA0szp8/j/bt28PCwkLqTXBycrJIYOHp6YmoqCiZ+e3VuXosV4WFhdi3b1+lXaqvXr1if6/l9fbtW3h5eYls++yzz3D27FmF6ylJxQw9BgYGsLCwYOeBqcrUqVMxY8YMlR5TkoyMDHa+WXXy9OlT9O3bFw8fPtTI+Tdv3oy+ffvK9d4nJSWxyUn0lfCGuzxVBBZmZmYyRzpUlJqaKjWwaNq0KW7evKnQ+QUCAQwMDODg4ADgfwEUpZsl1QHnwOLSpUuYO3cufH19sXLlSly5cgXPnj3Ds2fPcOXKFaxcuRI+Pj6YN28eLl++zOkczs7O7ByO8+fPi+1/9uwZEhISYGVlJffqpMLMOw8ePJC4X5g1qkGDBlKHQRHdwOfz0adPHwwaNEjkxlydHBwckJaWJnf5J0+eoG7duqhRo4bUFKnv378XGbYhHAusa0++tmzZguHDh8Pc3FzmU/m4uDiFF6lMSEgQCyy6d++O48ePc6prRWlpaexNglDTpk1x9+5dlRxfSDhUYv/+/So9bkW//PKLyDpE1cXTp0/Rtm1bvHv3TiPnf/jwIYYNGyax166oqAhJSUlITExEYmIiSkpK9H4Ih3B9h/KET/uVYW5urtDCvLICC1tbW7mSw8gibCelmyXVAeer1po1a9C2bVtER0dj6tSpaNWqFWrXro3atWujVatWmDp1Kh49eoSwsDCsXr2acwUXLlwIANiwYYPYwmOrVq0CAEyfPl0kCIiKikJgYCD69u0r9poxY8bAwcEBd+/eFeveLCwsZDMOTZs2jXOdSfVlYGDApsKtzLt37+Di4gIejwdvb2+x9TmEkpOTxQILeYZISBpmoEkRERH46quvZAZRAJCbmwtTU1OF8vhXHAoFlM0zef/+vUoWLBQudFVe3bp12VXQVSEpKQmurq5YunQptm/frrLjSpKRkaFw8KYPnj9/Dn9/f/B4PI2koSwsLMTgwYPx7t07kfVoSktL0b9/f6xevRpLly7FkiVLZC4iqi8kBRaFhYVKZ1vjEljImlDt4uIidZSDPGgoFKlOOAcWN27cwA8//CDzAmBiYoLvv/9e4fGJ5YWFhWHp0qV4/PgxevXqhaioKDx//hyzZs3C1q1b0aVLF7GnP9u3b0dMTAwOHz4s1jNhb2+PP//8E6ampujTpw8OHTqEN2/e4Pr16+jatSsSEhIwceJEDBo0iHOdCZHHiRMn0KNHDwCotMeifI+Lt7c3RowYUenxXV1dkZycrJrKqoCBgQEMDAzg4+ODV69eySzr7u6u0FNlST0WAPDpp5/i6tWrCte1oooruwNAnTp1FB6yJUtUVBRCQkJgaGgILy8vpW5kKlNdA4v8/HyYm5vD29tbLYsoylJ+SOPnn38u0gu/aNEi9OzZEz///DM2bdqEzZs3Y9SoUVVaP00wMTFRy1Aoc3NzlQ2FAsoWfFVmXg4NhSLVCefAQphetTLe3t5Kj0OeM2cOTp8+jfz8fLRr1w6NGjXCP//8g3Xr1uHEiRMiGSWAslWbHR0d8emnn6JevXpix2vfvj0ePHiAjh07YsqUKfDz88Pnn38OIyMjnDhxAuvWrVOqvoTI87T9n3/+YdOhKtJjYWZmhiFDhlR6fDc3N628eaxVqxbi4uIk7svOzoaFhQUCAgIU6g3IzMyUmOa5b9++WLp0KXr06IEePXqgdevWCt1wCCUmJoqt2l6zZk2p7eBCGFgAZYkH1DE5XCgzM1MrvxvqVFJSwq5rouyNIhf37t1jP9+2bdviwoULAIA7d+4gKSlJrt9pfaOuoVBmZmYK9Vjk5OTA0tJS6n5lvy/CdlJgQaoDzulmnZ2d8fDhw0qDC+EiP8oKDw+XO3VkWFgYUlNTZZbx9/fHzp07la4XIRVZWloiJyeHzTAmSWZmJjsBGJAdWFTssZAXl8Din3/+gbOzs9gaL8rKy8tj0z37+Pjg2rVrEsvFxcXBx8cHAQEBePr0qULrREiasO7n54d///2X/XnatGl48+YN6tSpg7dv3+LKlStyLZb27t07NGjQQGSboaGh3MPe5PHgwQN2bZyQkBBcvnxZ7rljisrNzWW/G6WlpejTpw/blqKiImzZskVmcgBdJPxuAUBQUBCuXr2Kbt26Vdn5o6Ki0LZtWwBlvYkpKSlgGAa//fYbZs6cWWX10Caurq6YOnWqyEOBrKwsDBgwQKnjKjoUCpCd8CIoKAh//vkn5/oIh0LRHAtSHXAOLNq1a4epU6ciODhYanARFxeHadOm6Uyud0JUwcXFBTExMfjjjz+QlJTEdu0PGjSIXYU+IiICXbp0YV8ja4Jgfn6+zNXnpXFzc6t0yFFFZ86cga2trcoDi/JjmGvWrIn4+HiJ5YQpNgMCAuROVy1cCEkewgCuTp06iIqKwq5du+QKLCTNsQD+92RUFYke8vLy2ECzQYMGcvWcXrt2DW/evMFXX32FZ8+e4Z9//pErA5qxsTGbhezdu3dwdXXF5s2bAQDbtm2rNOuYLnr69CkCAgIAlN0ofvPNN2x2KD6fjxUrVoj1SgFlKZIlfRe/++47tgdCHg8ePMDkyZPZn+vUqYO7d+8iKSkJtWvX1sicD00bO3Ysxo4dq/LjcgksZFF0WGnFHuvyPRY0x4LoO86BxaxZsxASEoKAgAB0794dTZo0YW8c3r9/j1u3buHkyZMAUG2fxpDqydXVFePHj8fatWsRFBSE1NRU2NnZoX///ujSpQt4PB6OHTuGX375Ra31cHNzw3///afQa169eqWWVLXlxzDLSq0bFxeHoKAgeHt7Sw0+ZB27MuV7huLi4vDgwQMIBIJKs++8f/9eYs9rnTp18Pz5c6XXSfnw4YNI1ilLS0u51uA4cuQIiouLsXXrVtjb2+PDhw9yBRYMw7Cfc8X1EmrVqoXo6GgOrdBu9+7dY7MM2tra4vbt22wvzfXr17F161Y2WYhQamoqDh48iD/++ENke3R0NP766y+FAovygSNQNiT3m2++qbJU2NWJInMs5Bm2yuPxlJrwT3MsSHXCObAICAjA/v37MWjQIPz55584ePCgyH6GYWBhYYG9e/eiTp06SleUEF0xadIkTJs2jV1VNi8vD7a2tmjQoAHu3r0LS0tLmJiYiN2oGhgYoKSkRGzOEFdchkIJBAL2nypTXcp78//q1St0794dBgYGcv8Rv3fvntgwJWm8vb1x584dAGU31K1atcKTJ08QFBQk83XSPhfhkC1lA4t79+6J9RLZ2toiPT1d5orxsbGxOHr0KHJycmBtbY2RI0ciJSVFoeGn5YcIAWVD1Y4dOyax7OPHj+Hj48OpB02THj58iDt37mDOnDnstvJt6NixI1asWIHS0lJ2HgYA/PTTT5g1a5bY+PtPPvkEy5cvl3nOy5cvs+Pyi4uLxT7HsLAwjBgxAr179+bcLiKZInMssrKyJM7PqqhmzZp4/fo1vL29Ky1b8eEMzbEg1YlSdw49e/bEo0ePMH78ePj7+8PExAQmJibw9/fHhAkT8PDhQzbrDSHVhZmZmcQ/HiNHjsS2bdvwww8/YP78+WL7PTw8sGfPHpw4cQInTpzAw4cPkZ+fzzn1opOTEz58+MD+XFpaioiICPb4Z8+eFXlaJ5wHIbxZVqWKgYW1tbXEpA7lF7qzsLBATk5Opce+fv06mjdvLlc9atSowfZYvHnzBv369as0a11ubq7UG2lVvVeSght5JnALF+KysbEBj8dDUFBQpYu/CXsrzM3NkZubi1evXon0WHh5eYmkQi1v0qRJuHXrlpytUo/U1FSFJuBnZWVh8uTJ2LZtm9SgncfjoWPHjjh37hy7LSEhgQ0+KzI2NkZRUZHUp9137tzB2rVr4efnBz8/P9StWxc//fSTSBkbGxs8ePBA54I0XaDIUCh5H3oEBQXJNYFb0neC5liQ6kTpR5I1a9bEL7/8gpiYGOTl5SEvLw8xMTFYt24datasqYIqEqIfAgICEBcXB0tLS/j5+YntnzRpEkpLS5GSkoKUlBTMmDEDFy9eFMkIpQg+ny/y1D8yMhLbt29nj79582aRdMwvXryAv78/WrRooVSKaEkq/vH28fGRmFGppKSE/cNbr149dsFKWR48eCB3j4WdnR3S09PZc7Vu3brStsbExEjMLgeoLuVsbGys2HciJCQEUVFRUl9TcfgUIF/2moKCApiZmbE9WhWHQhkaGkpc+yM9PR3R0dEqDzoVtXbtWnaYrTwOHDiAMWPGVNqLM3ToUOzYsQNA2Xdj7NixWLJkidTynp6eElMip6WlYcaMGdi+fTs+++wz9p+kOTqSthHlqSOwCA4OlmvFdknzKMoPhaI5FkTfqWbMBSFELkuWLJGa7MDf3x/+/v7sz59//jnatm2rdIYUoaioKAwbNoydQF6jRg2cP3+eHcYjnNzavHlzzJ8/HyNHjlTJeQHxP97CcfzlF7Wr+KRPeGPdtGlTqcctLS1FaWmp3H+shUMUhOdyc3OrdFLmw4cPpQ6VsrKyQmZmpshq67a2tiLDaeTx5s0bscnSn3zyCTZs2CD1NY8ePRKrlzzZazIyMmBjY8MGFpKGW/F4PJF5GABw6tQpjBkzRuOBxePHjxVa4+TMmTPYs2dPpeVcXV3RoEEDDB48GFZWVhg4cCACAwOllhd+PysGB1u2bMGsWbNkDmEj6qXIHAt5A4t69erJ/H0UKigoEOtlpqFQpDrhHFiUlJRg8+bNYBgGJiYmGDNmjMj+pUuXom7dutVi9VBC5NW4cWO5y7q4uGDXrl0KrUBdUfl5G1FRUejVqxe7r1WrVvj111/ZVeafPn2Krl27wt3dXeVrHFT8492uXTt8//33bC5/oa+++or9f0hICI4fPy7zuE+ePJHamyCNgYEBkpKS2CfYdnZ2+PjxI2xtbSWWf/ToEUaPHi31eOHh4fjuu+8AlA0n8/Pzw9KlSxWqU2lpqdgwHSsrKwgEAqk59h89eoTg4GCRbfJkr8nMzBQJLADxMeHClYbL95adPHkSv/zyi8z3oiqUlJRIHapVUVZWFvh8vsw1CsqbM2cO7t27h8jISJHvoiQhISE4c+YMPv/8c5HtN2/eZNMGE81QpMfiw4cPcHR0rLScjY2NXGtySQssaCgUqS44BxZHjhxhs1l88sknYoHFgwcPMH/+fAwYMAC7d+9W6URQQqoLRQIRSby9vfHy5UvUqVMHSUlJcHNzY/eZm5ujuLiYfYr29OlT9obIzc0NL168QO3atZU6v1BaWprIsJ1atWqxw06kcXNzq/TJtCLzK4Tc3d3x33//sROWGzdujDt37khNix0bGwtfX1+px5s4cSL7f4Zh0KlTJ4WeTBYXF0sd+9+5c2f8888/Eif4Pnz4ED179hTZJgwQZE2+z8jIgK2tLdzc3BAVFSVxMTLhIobCwCI/Px95eXlwcXFR6dodisrOzoaVlRUMDQ2RnZ0NGxsbmeUrpnWWR6NGjeRKt1y/fn2sWLFCZFtBQQF4PJ7SC7wR5SgyeTsjI0MkeYGyx5W0wB9lhSLVCee7/aNHj8LNzQ3Xr1/H7du3xfYfPHgQp06dwpkzZ7B9+3alKkkI4aZLly44efIkCgsLJQ4Xaty4MSIjIwFAZFG/GTNm4IcfflBZPYSTjBXB4/FgZGSEoqIiqWVu3LihcGBRo0YNXLp0iZ1XEBgYKHN4j6TeBFl17tq1K06fPi13fV6/fi11Plr37t2l9tokJCRIHKMvzF4jTfkeixs3bkg8t4+Pj8gaKP/88w86duwIQPFVjVVJ2EPVqFEjiX93Kjpx4oRYj4KqmJmZiQ234fJ9JKqnSI+FMNCWR4MGDSpNxVxYWCjWYyEMLADQQ1ai9zh/w2/fvo2ffvoJzZo1k1omPDwcP/74I7Zs2cL1NIQQJbRt2xYXL17E48ePJc4TaN++Pc6fPy+2yFydOnVgYmIidbJiaWkplixZovan10FBQSITuG/duoWuXbuie/fu6N69O96+favwquTe3t4igYWszE5paWmwt7dX6PiDBg2Sa0y/0IsXLyRO5gfKem0+fPiA4uJike3C+Q+S1hypbAJ3ZmYm22Nx/fp1kYnbQsIeC6G9e/eyc32Ea3dowsOHD1GvXj2Ehobi5s2blZZPS0tTKPWuopydnUWGDZ4/fx7t27dX2/mIfNQVWMiTqU3SUChh+mxlhrUSois4D4VKTEyU68lM27ZtaYE8QjTE2NgYtra2iIiIkLiYV5MmTTB+/HjExMSIDfeZN28evvzyS5E5DPPnz0etWrVw7949XL58GYsWLVJ4PoEiQkJCcPfuXXZoysWLFzFr1iy0bt2a8zG9vb3x5MkTdviDp6en1DH7kuYxVMbR0RHGxsZITk6WK6NXbGysyKT9itq1a4cvv/xSZDJwUVGR1OEbjRo1wqRJk3D06FEAZYvtzZo1i92fkZEBNzc32NnZITMzU+JxymftSkxMhLGxMTsOXVVrd3Dx6NEjjBs3DsbGxnL1hKs7A094eDhOnTqFUaNGAShbj2Tx4sVqPSepnCKTtxUJLBo1aoS//vpL5tojkgILQqoTzoGFiYmJ2FM0SUpKSjQ6JpeQ6q579+4YN26cxNSlRkZGuHr1KgoKCsTGq3t7e+Pff/9FYWEhgLKsUjt37sTixYtx4cIFLFq0CBcuXMA///yDzz77TOr5pQ3DkkdISIjIOPa4uDgMGjSI07GEvL29YW5uzj7J5vP57JNEhmGwbt06ZGZmAgDu37+PsWPHKnyOVq1a4c6dO+jWrVulZWNjY2XOA5g6dSqGDRsmtl3a/IImTZrg1KlTbKrh7777TiTIyczMRN26dcHj8eDq6iqxx8LJyQkpKSkAgF27dmH48OHsvoCAAPz999+VtksdhGtupKWlIT8/H4sWLULdunXRr18/sbIVs1qpQ3h4OIYNG4ZRo0YhIyMD5ubmCg/5I6pnamqq8gXyAPnmfVFgQao7zkOhAgMDsXPnzkrL7dy5U2bKPkKIeoWHh8PExEQsnamQpaUlHB0dJU4qtLKygqOjIxwdHdGhQwd2+MmNGzcQGhqKCRMm4J9//pF5fnmzrkji7e2N+Ph49ud3797B3d2d07GE3Nzc4O/vL3LTaW1tjczMTMTHxyMyMpIdarVw4UJ06tRJ4XPIs56EUGWr+fL5fPYzKP9P1iRQe3t7tly9evVEhjUJ080CZesoSJpjwePxkJ+fj99//x3nzp0TGd6jqrU7uCg/V2fHjh3o3r07du/eLbWsusezW1tbg2EYZGdnY+3atSIBGNGc8g8LKqPo98TY2Jh92CKJrMBC3YEuIdqAc4/F4MGDMWHCBOTn52PChAli2WOeP3+O9evXY9OmTXLlfiaEqIe1tTVu3Lih9B81Pp+PmjVrIiYmBgzDwNTUFI6OjkhISJD5OnnzxEvC4/HY8cnCmwVlbxb5fL7YAmsBAQF49uwZrl69ii+++ELisDFFBAUF4bfffpOrrDAdsLr4+vqKTMQWTt4GgD///FPqTdCqVasQHx+PDRs2iLznVlZWSElJwdmzZ9ltn3zyicJzURSVkpIi8j1ydXWFu7u71B6C0tLSKpko27lzZ+zfvx+RkZFYuHCh2s9HNCs4OBhPnz6Vuh6RpKxQwP/WhiFE33H+azZ69GgcPnwYGzZswMaNG2FlZcVe9FNTU5GdnQ0AaNOmjcbznhNS3cl6Iq6Inj17YtasWWzSBnnGMisTWAD/m0hcs2ZNld0oll+YD/jfvIEbN25gxIgRSh+//ArfFWVlZbHDKQQCgVqDCgCoXbu2yHohwsnbgPj7UF6DBg2krmg+ffp0dgJ3QUEB9uzZo9CEdS7i4+MlDtuShksmMi66d+8OX19fnDlzhp5IaxF1fRaNGjXCw4cP2SxpFUnKCgWILwBKiL7i/BfN0NAQp0+fxtSpU/H7778jKytLZPEYIyMjjBo1CqtWraIxp4ToiXbt2qFfv36YPXu23K9RNrAICgrCo0ePYGRkJPNGWBkBAQHYt28fsrKyVPbk3dDQUGLe+rFjx8Ld3Z0NkrjM4VCEj4+PyHCyrKwsNq0wV+Hh4SI/f/3113jw4IHUQEQVMjIyFFrNuiqGQgFlQ+v27NmDTz/9VO3nIvJT1418kyZNcPjwYan7aSgUqe6UelRmamqKTZs2YdGiRbh48SKbO93b2xtt27ZVa5o/QkjVMzExwZo1axASEoKPHz8CEF3dW5LU1FSFV8cuLzg4GOfPn4eNjY1CT6wVUbt2bRw7dkzqU0gu/P398eLFC5E5ZgKBAOnp6di/f7/KzlMZMzMzNoc+AJUMJ6to3rx5+O6773Do0CGVHrc8RbL3AFU3FAqAzCxBRDOEyQtkKSkpUfjBp4eHB5KSkqQGLgUFBRIng9NQKFJdqOSq6+zsjH79+mHGjBmYMWMG+vXrR0EFIXpq5MiRIkGEm5sbkpOTpZZPSUlR6npQr149PH78GHFxcWoLLMzMzFBcXIyWLVuq7JjCnpbyHj58iPr166vsHPLi8Xhy3Whx5e3tDUtLS6lpeyU5cuQIdu3aBaCsF2XgwIEyyysaWFTVUCiinZydndnMZtJkZWVVunq7JDVr1hSZt1SetB4LCipIdUFLQBJClCJrHQgAePv2rVJDmKytrZGVlYW4uDipazeowhdffIGmTZuq7HjBwcFiCwxqagE1FxcXkYXc1MHHx0dmgFnRo0eP8OOPPyI/Px+rV6/GlStXZN58cQksaJXj6isoKEjqAp9Cin6nhFq1aoXz589L3EfpZkl1R1ddQohSvLy8ZAYW6enpCo2Nl8TY2BhPnz5VW48FAKxYsQLm5uYqO17dunURExMjsu3atWto1aqVys4hLx8fH8TGxqr1HA4ODkhLS5O7/Lt37zB27Fj88MMPiIyMRHh4uMzgR5uHQhHtI0/KZ66BRYsWLXD58mWJ+6QFFkZGRigpKVH4XIToGrrqEkKU4uXlVWnKWWUnLQYEBODu3btKByhVyczMTGSRruLiYhQVFak0eJFXzZo18eLFCwgEArVNIFU0sEhOTsb48eNx5swZzJgxA7Vr15YZ/JTPZiUPGgpVvamzx8Le3h7p6ekShxcWFhZKTDdrYmKCoqIihc9FiK6hwIIQohRZQ6FUNa44KCiI01hoTatVqxablvX27dto0qSJxurx8uVLZGdny73KsKIUDSxKS0thZGSEmzdvIiwsDH5+fnjx4oXU8jQUiijC1dW10qF5XAMLoOya9PjxY7Ht0nosTE1N1Z5amhBtQFddQohSPD09pfZYpKWlcV51u7zg4GC1DoNSl549e+L48eMAgP3792sse5C3tzcePXoksuq2qikaWAgZGxsDAPz8/GT2WGRnZ8PS0lLu49JQqOqNx+NVmrRAmcAiICBA4vdVVmAh/K4Tos/oqksIUUrFdKblKTtxWygoKAgrV65U+jhVLSwsDJcuXUJeXh7i4uKUSrurDHNzc7Rp0wYDBgzgfCNVGUUCC0nre/j6+lY6D0SRYVw0FIrUrFmTTYMviTKBhZOTE1JTU8W2SwssTExMxL7zhOgj6pcjhChN2pCnhIQEeHl5KX18Pp+vkz0WxsbGsLe3x8aNG9GnTx+N1mXatGno0aOH2sZ5Ozg44MOHD3KVTUpKgqurq8g2eVZxVwQNhSLCeRbSrh3KBhaSJofL6rGgwIJUB2q/6ubm5mLOnDnqPg0hRIOEq0xX9PbtW5UEFrqse/fuWLFiBb788ktNVwX+/v4ICgpSy7HNzc1FJqvL8u7dO3h4eEjcp6p5OTQUigQFBSE6OhqlpaXsv/KqsseChkKR6kLtV92cnBwsX75c3achhGiQu7u7xFShCQkJKhkKpcs6d+6MpUuXKjQ/QBcpMkwpMTFRYmBR2WKLiqChUKRBgwZ49OgR+vTpgz59+iAgIEDkOqWOwKKwsFBiAEE9FqS6kGso1IgRIzifQJVd24QQ7eTj44Nnz56hRo0aItupxwKwsrLC6NGjNV2NKpWWloalS5di9erVEvcnJiYiICBAbLtwArebm5vI9qKiIoVvyqjHglhaWuKPP/5gf547dy5SU1PZ71dWVhbnLGlWVlbIzs6WuE9SkE1zLEh1IVdgsXPnTqn7eDye1K5r4T515U0nhGiH8PBwbN26FR07dhTZnpmZqZNpYolynj9/jk2bNmHOnDkSs4IlJiZKXIFcuJZF69atRbYruoYFQHMsiDh7e3t8/PiR/VmZ74ii9zXUY0GqC7knb69du1bsBuHixYs4ePAg+vTpg7p167KT8ZKTkxETE4PDhw+jWbNmGDp0qGprTQjRKoGBgXj8+LHEBwn0YKH6MDY2RmFhIV69eoWePXti7969mDx5slg5aXMs/Pz8RJ4wC3EZskJDoUhFdnZ2SE9P18i5aY4FqS7kDiz69+8PZ2dn9ucbN25gw4YNiIuLg4uLi8TXrFixAuHh4fTEkhA9x+Px0LBhQzx48AANGzYEoLpJuER3CFPOxsXFYfz48Vi8eDEmTZokFlxKW0/D19cXL1++FNvOJbCgoVCkInt7e05rrcgi76gMGgpFqgu5rroRERGwt7cX2fb999/jp59+khpUAGUrX/78889Sx9kSQvRHz549cezYMfbnDx8+qGRxPKI7ygcW/v7++OSTT/Dff/9JLCvpZszCwgK5ubli27n2WFBgQcpTdY+FrHkWFdFQKFJdyNVj8dlnn4ltu337NurUqVPpa+vUqYPo6GjFa0YI0SnNmjXD3Llz8ddffwEAXr9+Xe0nblc3wsAiJSUFTk5OmDJlCvr374+jR48q1HNd8SkwDYUiqmBvb88GFiUlJUp/P5ycnJCSkiLXBHAKLEh1wflxTmFhIZ4/f15puWfPnqGkpITraQghOsLAwABLly5FTk4OcnJy4ODggFGjRmm6WqQKCQMLYWDg7OyMH3/8EV9//TUiIyMRGRmJK1euwMrKSuoxXFxckJKSIrKNhkIRVbCzs2Mnb2dlZSk9TFtayllJTExMaI4FqRY4r7xdv359TJ06FWfPnhWZe1He+/fvMW3aNNSvX59zBQkhuqNly5Zo2bKlpqtBNMTBwQFv3rwReTLbrFkzDBs2DGfOnGG3ffvtt1KPUbt2bbx48UJkmG1GRobE9LSy0FAoUlH5oVAfPnwQG+KtKEUCi+DgYBoaSqoFzoHFd999hz59+sDPzw89e/ZEaGgonJycwDAMUlNTcffuXRw/fhy5ubk4fPiwKutMCCFECzk4OOD48eNi65l06dIFXbp0kesYwrUsWrVqxW6joVBEFczNzdk5PElJSWLrpShKkcDCyckJTk5OSp2PEF3AObD44osvsGzZMsybNw/79u3Dvn37RPYzDAM+n49ly5ahV69eSleUEEKIdnNwcEBkZCSGDx/O+Ri1a9fGoUOHRLbRUCiiCjwej527o6rA4tmzZ+zPAoGA0muTak+pq+7MmTMRGRmJYcOGwcfHB8bGxjA2NoaPjw9GjBiBO3fuYMaMGaqqKyGEEC3m4OCAx48fw8fHh/MxfH19ERsbK7KNskIRVVNHj0VhYSFMTU2VrRohOo1zj4VQw4YN8fvvv6uiLoQQQnSYnZ0dBAIBatWqxfkYlpaWyMnJEdmWnZ0NS0tLhY5DQ6GILElJSRIzXirC2dlZJLAoKCigwIJUe/Q4hxBCiEoYGBjA1tZWqcBCqOICi4oOMaGhUEQSHo8HgUCgkh4LW1tbZGRksD8XFhbCxMREyRoSotuUvuoWFBRgz549GDt2LD7//HMkJycDAA4ePKjyFS4JIYRot/r16yvcu1BRxSfBsghvFCuioVBEEhsbG2RlZXEaXldRxWCXeiwIUXIo1KVLlzBgwAC8f/+ezVuel5cHAFi2bBmGDx+OPXv24IsvvlBJZQkhhGi3iIgIpY/h5+eHNWvWwNvbGwDYvyuSGBgYSAwiaCgUkaT8WhaqmGhdvmeNAgtClAgsnj9/jm7duiE/Px/NmjWDj4+PSCaPo0ePYsmSJejXrx9u376NRo0aqaTChBBCtJeZmZnSx/jmm29w48YN9ueff/5Zalk+ny+xx4KGQhFJyq++rQoMw+D06dMAgFevXlFgQao9zoHFsmXLYGNjg+vXr7ML4B07dozdX7NmTWzbtg2lpaVYvnw5/vjjD6UrSwghRP/Z2dnJve4Fn89HaWmp2HbqsSCS2NnZISkpSWVzIebOnYvo6GgAgJGREfr376+S4xKiqzgHFhcuXMCaNWsqXVX7m2++wVdffcX1NIQQQohUwqFQFdEcCyKJvb09YmJi4OrqqpLjNW/eHM2bN1fJsQjRB5yvusnJyQgNDa20nKurK969e8f1NIQQQohUNBSKKMLOzg6PHz9WOiMUIUQyzlddGxsbvH79utJyjx8/VjrzAiGEECKJgYEBDYUicrOzs8OTJ08osCBETTgHFi1atMCsWbOQn58vtUxWVhbmzZuHVq1acT0NIYQQIpW0HgsaCkUksbe3p8CCEDXiPMfiu+++Q1hYGHx8fDBq1CiEhoZCIBAgKioKjx8/xu3bt7F9+3akpKRg8+bNqqwzIYQQAoCGQhHF2NnZITc3lwILQtSEc2DRqlUrrFmzBlOnTsWPP/7Ibu/Xrx/7fx6Ph/Xr16NJkybK1ZIQQgiRgIZCEUXY2dkBAAUWhKiJUo9zJk6ciMuXL6NLly4wMzMDwzBgGAZmZmbo1q0brl27hm+++UZVdSWEEEJE0FAooghjY2PY2trCyclJ01UhRC8ptfI2ALRs2RInT56EQCDAhw8fAACOjo50QSeEEKJ20taxoKFQRJqAgAD6bhCiJir7zeLz+XB2doazs7PO/cJGRUXB0NAQPB4Ply5d0nR1CCGEyEnWOhY0FIpIcvDgQU1XgRC9xTkC6N+/P27duiV1/19//YVatWrBx8cHvr6+XE/DOnPmDDp27Ah7e3tYWFggJCQEGzZskPgHRRElJSUYMWKExCdehBBCtBsNhSKK8vLy0nQVCNFbnK+6Bw8eROvWrUUmbpfXqlUr7Ny5E/Pnz0d8fDzX0wAAli9fjvDwcJiamuLcuXO4d+8eOnbsiAkTJqBnz54oKSlR6thxcXG01gYhhOggGgpFCCHaQ6mrrkAgwPz589G+fXux1bVdXFwQFhamdEaoq1evYtasWQgMDMSRI0cQGhoKf39/LF++HF9//TVOnjyJ5cuXczr2s2fP8MMPP2D58uWwsbFRqp6EEEKqHg2FIoQQ7aFUYHHy5En4+vri4sWLaNiwIf7++29V1Yu1aNEiAMCECRNgZGQksm/atGkAgBUrVshcqE8ShmEwatQoNGnSBGPGjFFJXQkhhFQtGgpFCCHaQ6mrbmhoKO7du4fBgwfjw4cP6NGjByZOnIiioiKVVC41NZWdTN2+fXux/XXq1IGnpyeysrIQERGh0LE3btyIO3fuYNu2beDxeKqoLiGEkCombR0LGgpFCCFVT+mrroWFBXbt2oU9e/bA0tISGzduRNOmTfHs2TOlK3fnzh0IBAIYGRlJnQAeEBAAAIiMjJT7uG/evMHs2bOxYMEC+Pv7K11PQgghmiGrx4KGQhFCSNVSeh0LoYEDB6JZs2b46quvcOfOHYSGhmLt2rVo3rw552O+fPkSAODk5CT1yZNw9UxhWXmMHTsWvr6+mD59Oue6FRYWorCwkP05KysLQNkfM2UzVXEhEAjAMIxGzq1Out4uXa+/NPrYLn1sE6B/7arYHh6Ph5KSErH2CXsxdKXd+vY5Celbu/StPUL61i59a4+mKfI+qiywAABfX19cv34ds2fPxurVqzFmzBg0bdqU8/GEN+tmZmZSy5ibmwMAMjMz5Trmnj17cPbsWdy6dQuGhtybv2zZMixevFhse2pqKgoKCjgflyuBQIDMzEwwDKNX3f+63i5dr780+tgufWwToH/tqtiegoICpKamIiUlRaRcZmYmMjMzxbZrK337nIT0rV361h4hfWuXvrVH07Kzs+Uuq1Rg8eeff8LGxgaff/457Ozsyg5oaIiff/4ZHTt2xJAhQ3Dz5k2tmcOQkpKCKVOmYOrUqQgNDVXqWLNnz8bUqVPZn7OysuDl5QUnJydYW1srW1WFCQQC8Hg8mb07ukjX26Xr9ZdGH9ulj20C9K9dFdtjZWUFW1tbODs7i5QzNzeHo6Oj2HZtpW+fk5C+tUvf2iOkb+3St/ZomqmpqdxlOQcWn376KY4cOQIej4fmzZuzgYVQp06dEB0djSFDhuDs2bOcziG8QZeV8SkvLw8A5EoXO3HiRNja2krsaVCUiYkJTExMxLbz+XyNfYl5PJ5Gz68uut4uXa+/NPrYLn1sE6B/7SrfHgMDA4lPJRmGgaGhoU61Wd8+JyF9a5e+tUdI39qlb+3RJEXeQ86BhTBbkyzOzs44c+YM3rx5w+kcwgnbqampUlMHJiUliZSV5c8//4SRkRGcnJzE9gkDlPDwcHbC32+//YaBAwdyqjshhBD1k7aOBWWFIoSQqqfSORaS5ObmYufOnViwYIHCrw0NDQWfz0dxcTFevnyJ2rVri5V5+vQpAKBx48aVHu/FixdS97Vp0waJiYnYtm0bOy/ExcVF4ToTQgipOpQVihBCtIfaA4ucnBwsXryYU2Dh7OyMsLAwXLx4EefPnxcLLJ49e4aEhARYWVmhc+fOlR7Pz89P6j7hRG4PDw+Z5QghhGgPPp8vcR0LWiCPEEKqntyBxaVLl3DkyBGMGDECDRs2xIgRI+R6naIrYle0cOFCXLx4ERs2bMCoUaNEMjmtWrUKADB9+nQ2OxQAREVFYdCgQahXrx4OHDigVPYnQggh2ouGQhFCiPaQ+467d+/eyMjIwJ07d3D9+nXs3LlT7pMokxUqLCwMS5cuxdy5c9GrVy8sXrwYlpaW2L59O7Zu3YouXbpg9uzZIq/Zvn07YmJiEBMTg1mzZknNAJWTk4OcnBwA/8t5/vHjRyQnJ8PAwEDiXAxCCCHag4ZCEUKI9pA7sJg6dSoOHDiAsWPHstvWrl1baTamjIwMkbSsXMyZMweNGjXCqlWr0K5dOxQXF8Pf3x/r1q3Dt99+K/bHo2/fvvjzzz8RGBiIevXqST3uypUrxTJE9e7dGwDg7e2N+Ph4pepNCCFEvQwMDGgoFCGEaAm5A4u5c+di7ty5Itv69+9faY7w9+/fY8qUKdxqV054eDjCw8PlKhsWFobU1NRKyy1atAiLFi1SsmaEEEI0RVqPBQ2FIoSQqsf5qnvx4kXY29tXWs7e3h4XL17kehpCCCFEKlmTt2koFCGEVC3Os5rDwsLkKldaWorXr19zPQ0hhBAilbTJ2zQUihBCqp7ar7qZmZkYPny4uk9DCCGkGqKhUIQQoj3k6rHYvXs35xNkZmZyfi0hhBAiCw2FIoQQ7SFXYDFs2DDOKWMZhlEq3SwhhBAiDQ2FIoQQ7SH3HIu+ffvCzMxM4RPk5eXh8OHDCr+OEEIIqQwNhSKEEO0hd2Dxyy+/VJpaVpLk5GQcOnRI4dcRQgghlZG1jgUNhSKEkKol1+OchQsXwtLSktMJrKyssHDhQk6vJYQQQmSRtfI29VgQQkjVkqvHQpnAwNjYGG3btuX8ekIIIUQaPp+PkpISse00FIoQQqqe2q+6Hz9+pMCCEEKIWtBQKEII0R6cF8gTSk5Oxrlz55CYmIiioiKx/Tk5OcqeghBCCJGIhkIRQoj2UCqw+Pnnn7FgwQKRgIJhGACgFLOEEELUTto6FjQUihBCqh7nwOLkyZOYOXMmOnTogGbNmmH58uUYO3Ys7O3tAQCJiYk4ffo0Pn78iGnTpqmswoQQQoiQrHUsaCgUIYRULc6Bxfr16zF06FDs2LEDALBmzRpMmjQJPj4+bJnc3Fx06dIF1tbWyteUEEIIqYCGQhFCiPbgfNWNiorC2LFjZZaxsLDADz/8gH379nE9DSGEECIVDYUihBDtwfmqm5ubC3d3d/ZnQ0NDZGZmipXz8PDAixcvuJ6GEEIIkYqGQhFCiPbgHFh4eHggKSmJ/dnJyQnXr18XK3f58mWupyCEEEJkoqFQhBCiPThfdevVq4c1a9awPzdr1gwLFy7EoUOHkJGRgYyMDOzfvx8zZsxAvXr1VFJZQgghpDxZ61hQdkJCCKlanCdvf/HFFxg+fDiSk5Nx8eJFTJo0CQcOHED//v3Fyk6ePFmZOhJCCCESSeuxACjtOSGEVDXOgUXv3r1hamoKCwsLAEBoaCj27t2LcePGIT09HQBgbm6OhQsXYsCAAaqpLSGEEFKOrMCCEEJI1eIcWFhaWqJfv34i2/r164cvvvgCDx8+hEAgQL169WBmZqZ0JQkhhBBJpA2FIoQQUvWUWnlbEiMjI4SEhKj6sIQQQogY6rEghBDtofaUGe/fv6eUf4QQQtRC2joWhBBCqp7SPRYlJSV4/vw50tPTJV7c09LSlD0FIYQQIpG0dSwIIYRUPc6BRUlJCWbNmoWtW7ciJydHlXUihBBC5EJDoQghRHtwDizmzp2L1atXw8TEBPXr14eNjY3E1H5FRUW4efOmUpUkhBBCJKGhUIQQoj04BxZ79+5Fjx49sHv3blhZWUktl5ycDHd3d66nIYQQQqSioVCEEKI9OE/ezsjIwKJFi2QGFQBgZWWFhQsXcj0NIYQQIhUNhSKEEO3BObCoX78+TExMKi1nYWFBgQUhhBC1oHUsCCFEe3AOLJYsWYJ169ZVWo7SzRJCCFEX6rEghBDtwXmORfv27cHn89GnTx80a9YMvr6+sLe3F5vATelmCSGEqAsFFoQQoj04BxYCgQCnTp1CREQEjh49qso6EUIIIXKhoVCEEKI9OAcWP/74I1avXg1TU1M0aNAA1tbWlG6WEEJIlaIeC0II0R6cA4vt27ejV69e2L17NywsLKSWo3SzhBBC1IXWsSCEEO3BefL2+/fvsXDhQplBBUDpZgkhhKgPrWNBCCHag3NgUbduXRgbG1dajtLNEkIIURcaCkUIIdqDc2CxYMECrFq1qtJylG6WEEKIutDkbUII0R6c51jY2trCwMAADRs2xKBBgyjdLCGEkCpHPRaEEKI9OAcWbdq0AY/HA8MwmDlzpirrRAghhMiFAgtCCNEenAMLAGjWrFml8ywo3SwhhBB1oaFQhBCiPZQKLI4ePQpnZ2eZZSjdLCGEEHWhHgtCCNEenCdvjxw5Eubm5pWWo3SzhBBC1IXWsSCEEO3BObAoKSnBxIkTMWXKFJnlKN0sIYQQdaF1LAghRHtwDix27dqFiIgIWFtbq7I+hBBCiNxoKBQhhGgPznMs+Hw+Dhw4gDZt2qiwOoQQQoj8aCgUIYRoD849Fi4uLvDx8VFlXQghhBCF8Pl8MAyj6WoQQgiBEoFF586dcfny5UrL0crbhBBCCCGE6D/OQ6GWLl2Krl27wtHREeHh4TLL0tMkQgghhBBC9BvnwGLOnDlwd3dHt27dUKtWLQQEBMDJyQk8Hk+kXH5+vtg2QgghhBBCiH7hHFjs3LkTPB4PDMPg1atXePXqldSyFFgQQgghhBCi35RaeXvNmjWwsbGRWSYjIwNTp05V5jSEEEKI3Gj4LSGEaIZSgUX//v3h7Owss8z79+8rXUSPEEIIURWGYcDnc85NQgghhCPOV96rV6/CwcGh0nJOTk6Ii4vjehpCCCFEIaWlpRRYEEKIBnC+8rZs2VKuNLJ8Ph/e3t5cT8M683/t3XlcVPX+P/DXsA6gICiEiuJ2XUDNLRUr8JqWyzU1d8lc0iSXzLTUW37Fe9XU8po39ZYr7pprZS5pabnlmqko2FVwHRREBQTZ5v37w9+ZyzAzMMDAMOPr+XjM4wHn8znnfN5z5nzmfOZ8Puezdy86deoEHx8feHh4oEWLFli0aFGRZ1zNzMzE+vXr0bt3b9SoUQMuLi6oWLEiWrZsicjISDx8+LDEZSUiIuvRarV8zDkRkRWU+CedJ0+eYOnSpejduzdatWqFVq1aoXfv3li2bBmePHliiTJi7ty56NKlC9RqNfbv34/ff/8dnTp1wrhx49CzZ0/k5OSYva0mTZrgzTffRGpqKlauXImYmBjs3bsXjRo1wowZM9CkSRP8+eefFik3ERGVPa1WyzsWRERWUKIxFn/88Qd69eqF69ev6w2WO3v2LHbu3Ik5c+Zgx44daNq0abH3cfjwYUyZMgVBQUHYvn07nJ2dATxtbDx48ADLli3D3Llz8fHHH5u1vXv37qF169bYvXs3nJyehl+nTh28+OKLePLkCbZt24ahQ4fi6NGjxS4zERFZD7tCERFZR7Fr3rt37+K1115DfHw8goODMXz4cEydOhVTp07F8OHDERwcjLi4OLz22mu4e/dusQsYGRkJABg3bpyuUaGYOHEiAGDevHnIyMgwe5tDhgzRNSryGjVqFADg2LFjuH37djFLTERE1sSuUERE1lHsOxZz5sxBbm4u9u/fj1deecVongMHDmDgwIGYN28e5s+fX+R9JCYm4tChQwBgdB8NGjRAQEAAbt26hT179uCNN94odJvXr1+Hh4eH0bSAgADd38nJyahevXqRy0xERNbFrlBERNZR7Jr3hx9+wPz58002KgCgY8eO+Pzzz/H9998Xax+nT5+GVquFs7Mz6tatazRPw4YNAQCnTp0ya5teXl5G71YAgEajAQCo1WrUq1evGCUmIiJrY1coIiLrKPYdi5s3b6J9+/aF5mvfvj0iIiKKtY+rV68CePrIWlNfElWrVtXLWxK7d+8GAAwfPhxubm4F5s3MzERmZqbu/5SUFABPfykr6pOqLEGr1UJErLLv0mTrcdl6+U2xx7jsMSbA/uIyFk/+/3NycuDg4GBTMdvbcVLYW1z2Fo/C3uKyt3isrSjvY7EbFm5ubkhOTkbNmjULzJecnFzoRbopysV6Qeu7u7sDAB49elSsfSju3r2LlStXIiAgAP/85z8Lzf/pp59ixowZBssTExMt9jSsotBqtXj06JHdTQxl63HZevlNsce47DEmwP7iMhZPVlYW7t27p8uTmJiIzMxMvWXlnb0dJ4W9xWVv8SjsLS57i8faUlNTzc5b7IZFs2bN8MUXXyAqKqrAfPPnz0fz5s2Lu5syodVq8fbbbyMzMxM//PADfHx8Cl1n6tSp+OCDD3T/p6SkoEaNGvD19YWnp2dpFtcorVYLlUpV4N0dW2Trcdl6+U2xx7jsMSbA/uIyFo+Liwv8/Px0eXJycuDh4aG3rLyzt+OksLe47C0ehb3FZW/xWJtarTY7b7EbFiNHjkR4eDiSkpIwbtw4tG7dGt7e3gCe3qU4ceIEFi5ciP3792PDhg3F2odygV7QE5/S09MBPB07UVxjxozBgQMH8N133yEkJMSsdVxdXeHq6mqw3MHBwWofYpVKZdX9lxZbj8vWy2+KPcZljzEB9hdX/niU//NycnKyuXjt7Tgp7C0ue4tHYW9x2Vs81lSU97DYDYuBAwdi165d2LhxI/bs2aO3Y6Uvlohg0KBB6N+/f7H2oQzYTkxMNPmUD2XAtanB3YWZMGEC1qxZg127dqFjx47F2gYREZUffCoUEZF1lKjmXbduHebMmQMfHx+ICHJzc5GbmwsRgY+PD+bOnYu1a9cWe/stW7aEg4MDsrOzTQ7OjomJAQC88MILRdq2VqvFqFGjsHLlSuzbt4+NCiIiO8GnQhERWUeJal6VSoWPPvoIGo0Gx48fx6ZNm7Bp0yYcP34cGo0GH374IVQqVbG37+fnh7CwMADATz/9ZJAeGxuLW7duoWLFiujcubPZ283NzcWQIUOwdetWHDhwAC+99JJe+pAhQ7B///5il5uIiKyHE+QREVmHRX7ScXJyQps2bdCvXz/069cPbdq0MTlXRFFNnz4dALBo0SLk5OTopSmT7n344Ye6p0MBwNmzZxEUFIS+ffsarJOdnY3+/fvjxx9/xMGDB43e6fjll1848zYRkY1iVygiIuswu+b9xz/+oRsoXZbCwsIwa9YsREdHo1evXjh79iyuXLmCKVOmYNmyZejatSumTp2qt87KlStx+fJlbN26FX/88YdueW5uLnr16oVt27bB2dkZw4cPR6tWrQxeyrgNIiKyPbm5ubxjQURkBWbfVpgxYwYiIiL07gyUlb///e9o3rw55s+fjw4dOiA7Oxv169fHwoULMWbMGIMvkL59+2Lz5s0ICgpCcHCwbnlqaip++OEHAMDt27d5V4KIyA7xjgURkXWY3bAQEXzzzTfFnqPhrbfeKtZ6ii5duqBLly5m5Q0LC0NiYqLB8kqVKkFESlQOIiIq39iwICKyjiINhHjvvffMzpt/0HZJGxZERETmYFcoIiLrMPsnHZVKhYSEBGi12kJfly9fRqNGjSAicHV1xYoVK0ozBiIiIh3esSAiso4idYUyx5YtWzBixAikpaUhMDAQ27ZtQ4sWLYpdQCIioqJgw4KIyDrMrnkPHjwIHx8fk+k5OTkYP348BgwYgNTUVHTs2BFnzpxho4KIiMoUu0IREVmH2Q2LsLAwk3NT3L59G6GhoVi0aBGAp09x2rt3b4ENESIiotLAOxZERNZR4lns9u/fj/DwcCQlJcHT0xOrV69Gjx49LFE2IiKiImPDgojIOkpU8/7jH/9A165dkZSUhKCgIJw8eZKNCiIisip2hSIiso5i3bFITk5GeHg4fvzxR4gI+vbti5UrV8LDw8PS5SMiIioS3rEgIrKOIte8J0+eRIsWLfDjjz/CwcEBn3/+OTZv3sxGBRERWYVKpdJ7cmFubi4bFkREVlCkmnfRokUIDQ3FjRs3UKVKFezfvx8ffPBBgeskJSWhTp06JSokERGRKQ4ODtBqtbr/tVotu0IREVmB2V2hBg4ciG+++QYigrZt22Lr1q2oVq1aoevl5ubi+vXrJSokERGRKY6OjnrjKtgViojIOsxuWGzevBkA4OzsjDp16uCTTz4xa72MjIzilYyIiMgM+e9YsCsUEZF1FGnwdkhICFxcXHD79m2z18nKyipyoYiIiMzl4OCA3Nxc3f/sCkVEZB1mNyxUKhV27NgBPz+/Iu0gISEB1atXL3LBiIiIzOHo6GgwxoJ3LIiIyp7ZNW/NmjWL9QuQk5MTatasWeT1iIiIzMGuUERE5YPZdyzi4uKKtYMqVaoUe10iIqLCsCsUEVH5wJ90iIjIprErFBFR+cCal4iIbBq7QhERlQ+seYmIyKYp81go2BWKiMg62LAgIiKbZmzmbd6xICIqe6x5iYjIprErFBFR+cCal4iIbBq7QhERlQ9sWBARkU1jVygiovKBNS8REdm0/PNYsCsUEZF1sOYlIiKbZmweC3aFIiIqe2xYEBGRTWNXKCKi8oE1LxER2TR2hSIiKh9Y8xIRkU1jVygiovKBDQsiIrJp7ApFRFQ+sOYlIiKbln8eC3aFIiKyDta8RERk04zdsWBXKCKisseGBRER2bT8g7fZFYqIyDpY8xIRkU3LP3ibXaGIiKyDNS8REdk0doUiIiof2LAgIiKbxq5QRETlA2teIiKyaewKRURUPrDmJSIim8auUERE5QMbFkREZNPyz2PBrlBERNbBmpeIiGxa/jsW7ApFRGQdrHmJiMimsSsUEVH5wIYFERHZNHaFIiIqH1jzEhGRTWNXKCKi8oE1LxER2TRj81iwKxQRUdljw4KIiGxa/nks2BWKiMg6WPMSEZFNM9YVincsiIjKHhsWRERk04x1heIdCyKisseal4iIbBq7QhERlQ+seYmIyKaxKxQRUfnAhgUREdk0zmNBRFQ+sOYlIiKbZmzmbTYsiIjKHmteIiKyaewKRURUPrBhQURENo1doYiIygfWvEREZNPYFYqIqHywmZp379696NSpE3x8fODh4YEWLVpg0aJFel8mRaHRaBAREYGaNWvC1dUVNWvWREREBO7cuWPhkhMRUWnKP48Fu0IREVmHTTQs5s6diy5dukCtVmP//v34/fff0alTJ4wbNw49e/ZETk5OkbZ36dIlNGnSBN9++y0WLFiAmJgYLFiwADt37kTTpk1x6dKlUoqEiIgsjfNYEBGVD07WLkBhDh8+jClTpiAoKAjbt2+Hs7MzgKeNjQcPHmDZsmWYO3cuPv74Y7O2l5OTg969e+P+/fs4evQo2rVrBwCoXbs2/P398dJLL6FPnz44f/48nJzK/dtDRPTMY1coIqLyodzXvJGRkQCAcePG6RoViokTJwIA5s2bh4yMDLO2t3HjRsTExKBNmza6RoXixRdfRNu2bXH58mVs3ry55IUnIqJSZ6wrFBsWRERlr1zXvImJiTh06BAA4JVXXjFIb9CgAQICApCSkoI9e/aYtc0tW7aY3B4AdOzYEQDYsCAishH5u0IBgEqlslJpiIieXeW6YXH69GlotVo4Ozujbt26RvM0bNgQAHDq1CmztnnixAm99Uq6PSIisq78XaGIiMg6yvUggqtXrwIAfH19Td7Wrlq1ql7egqSlpeHevXsAAH9//wK3l5CQgPT0dLi7uxvNl5mZiczMTN3/KSkpAJ727bXGF5xWq4WI2N2Xq63HZevlN8Ue47LHmAD7i8tYPCqVComJibh27RoAICMjw+bitbfjpLC3uOwtHoW9xWVv8VhbUd7Hct2wUC7W3dzcTOZRLvwfPXpk9vYK2mbehsSjR49MNiw+/fRTzJgxw2B5YmIinjx5UmhZLE2r1eLRo0cQEbvqW2zrcdl6+U2xx7jsMSbA/uIyFk/FihXx8OFDzJ49GwAQFBSk+xHJVtjbcVLYW1z2Fo/C3uKyt3isLTU11ey85bphUZ5NnToVH3zwge7/lJQU1KhRA76+vvD09Czz8mi1WqhUqgLv7tgiW4/L1stvij3GZY8xAfYXl7F4/Pz8sHTpUiuXrGTs7Tgp7C0ue4tHYW9x2Vs81qZWq83OW64bFsoFekFPfEpPTwcAeHl5mb29grapbK+wbbq6usLV1dVguYODg9U+xCqVyqr7Ly22Hpetl98Ue4zLHmMC7C8ue4tHwbhsg73Fo7C3uOwtHmsqyntYrt9tZcB2YmKiyf5dGo1GL29BKlSoAD8/PwBPx1AUtD1/f3+T3aCIiIiIiEhfuW5YtGzZEg4ODsjOzjY5ODsmJgYA8MILL5i1zdatW+utV9LtERERERFROW9Y+Pn5ISwsDADw008/GaTHxsbi1q1bqFixIjp37mzWNvv27WtyewBw4MABvXxERERERFS4ct2wAIDp06cDABYtWoScnBy9tPnz5wMAPvzwQ71uS2fPnkVQUBD69u1rsM7AgQNRv359nDhxAseOHdNLO3bsGH777Tc0aNAAAwcOLI1wiIiIiIjsUrlvWISFhWHWrFmIjo5Gr169cPbsWVy5cgVTpkzBsmXL0LVrV0ydOlVvnZUrV+Ly5cvYunUr/vjjD700Z2dnbNu2DT4+Pujduze2b9+O+Ph4bN++Hb1794aPjw+2bt0KJ6dyPa6diIiIiKhcKfcNCwD4+9//jt27dyMjIwMdOnRA8+bNsW/fPixcuBDfffedQSOgb9++qFKlCkJDQxEcHGywvcaNG+P8+fPo3r07xo8fjwYNGmD8+PHo3r07zp8/j8aNG5dVaEREREREdsFmfpbv0qULunTpYlbesLAwJCYmFpinevXqNv/ccyIiIiKi8sIm7lgQEREREVH5xoYFERERERGVGBsWRERERERUYmxYEBERERFRibFhQUREREREJcaGBRERERERlRgbFkREREREVGI2M49FeSciAICUlBSr7F+r1SI1NRVqtRoODvbTXrT1uGy9/KbYY1z2GBNgf3HZWzwKxmUb7C0ehb3FZW/xWJtybatc6xaEDQsLSU1NBQDUqFHDyiUhIiIiIrKs1NRUeHl5FZhHJeY0P6hQWq0Wd+7cQcWKFaFSqcp8/ykpKahRowZu3rwJT0/PMt9/abH1uGy9/KbYY1z2GBNgf3HZWzwKxmUb7C0ehb3FZW/xWJuIIDU1FdWqVSv0DhDvWFiIg4MDAgICrF0MeHp62uVJZOtx2Xr5TbHHuOwxJsD+4rK3eBSMyzbYWzwKe4vL3uKxpsLuVCjY8YyIiIiIiEqMDQsiIiIiIioxNizshKurK6ZPnw5XV1drF8WibD0uWy+/KfYYlz3GBNhfXPYWj4Jx2QZ7i0dhb3HZWzy2hIO3iYiIiIioxHjHgoiIiIiISowNCyIiIiIiKjE2LIiIiIiIqMTYsCCb9PDhQ6hUKt2rVq1a1i4SEZUD8fHxenVD+/btrV0kIqJnBhsW5UStWrX0vgxt+YK5ffv2RmMp6BUZGVmkfXh5eUGj0eDkyZMWK3f+Y+Ds7IyrV6+atW5CQgLc3d311h86dKjFylbaNBoNnJyc4OjoiNu3b1u7OCY9a8fInuoFY0ojvho1akCj0WDbtm2WK6iZbOU8MldycjIiIyPxwgsvwMvLCy4uLqhatSpatGiBwYMH4+uvv0ZMTIy1i1lsZ8+eRUREBBo1agRPT0+4ubkhMDAQffv2xebNm6HVai22ry+++AKRkZF4+PBhibeV/7zp37+/ybyHDh2yyHduWWjWrJnRsjo4OKBSpUqoV68e+vXrh2XLliE9Pd3axSVThMqFe/fuiUajkS+++EIASEBAgGg0Grl37561i1Zk9+/fF41GIyEhIQJAJk6cKBqNxuQrICBApk+fXqx9xcXFCQAJDAwscbmVY6CUG4AMHTrUrHUnTJigW0eJ9+HDhyUuU1mZNWuWrvwzZ860dnFMetaOkT3VC8aUZnwHDx4UABIWFlbygprJVs4jc0RHR4u/v79UrFhRZsyYISdPnpQbN27IpUuXZPXq1dKwYUMBIMHBwdYuapFlZGTIiBEjBIB07dpVtm/fLrGxsRIXFyc///yzvPvuu+Lk5CTNmjWTq1evWmSfgYGBAkDi4uJKvC1j9eDChQuN5s3MzNR91wKQL774QjQajaSmppa4HJaWlJRk9Nrh9u3bcvHiRdm0aZMMGDBAHBwcxNvbW9auXWvtIpMRbFiUM6tWrbLYhbK1hYWFCYBCGw2BgYHlomGhCAsLEx8fHwEgTk5OhX6x3L17V9zd3XXrFDcWa9FqtVK3bl2pUqWKAJA6deqIVqu1drEK9KwdI3uqF4wpjfjKumFhi+dRQdq1aycAZNOmTUbTNRqN+Pv721zDIjs7Wzp37iwA5LPPPjOZ79ChQ+Lu7i5VqlSxSOPCkg0LRVhYmDg5OQkAcXZ2luPHjxeYH4CsWrXKYvsvLYVdO5w4cUL8/f0FgERGRpZt4ahQ7ApFVvf777/jo48+snYx9HTr1g0NGjRATk4OZs6cWWDezz//HCEhIWjSpEkZlc6yDh06hOvXr2PDhg0AgGvXruHQoUPWLZQZnqVjROWfrZ5Hxjx69AjHjh0DAHTp0sVoHn9//wK74JRXM2bMwN69e9G1a1dMmjTJZL6wsDBMnz4dSUlJ6NevH6ScTvnVt29ftGnTBtnZ2ejXrx+SkpKsXaRS17p1a+zcuRNOTk6IjIzE7t27rV0kyoMNCxuh1Wqxe/duDBs2DMHBwahQoQIqVKiAVq1aYcGCBcjJydHLf+vWLYMBjA8fPkRERAT8/f3h6uqK4OBgrF692koRASqVClFRUfD29oa7uzsAIDExERMnTsRf/vIXuLq6wtvbG3/961+xcePGQrf35MkTfPLJJ6hbty7UajUCAgIwduxY3L9/v8hlc3BwwLRp0wAAa9euxbVr14zmS0pKwpIlS3R5jcnMzMSWLVvQv39/NGjQAG5ubvDy8sJLL71k9P0/cuSIwTgAjUaD4cOHo1q1anB0dLTo+IAVK1agW7du6NSpE1q3bq1bll9UVJRBH93Dhw+jc+fO8PHxgZubG5o1a4Zly5YZfAk7OTnp9Z/PyspCZGQk6tevD1dX12L1q7fmMTLWDzgqKkqXnn+cUWmM5Zg0aZLePvJexObvV52/P3X+4/HkyRNMmTIFNWvWhKurK+rVq4fPPvvM4mUuipLEZw3mnkeLFi0y+bnJP/Dc1OcmMTERo0ePRvXq1eHq6opatWrhvffeQ3JyskH/++LIO7agoLEi06ZNMzqWJS0tDTNmzEDjxo1151JISAj+85//IDc3Vy9v/rE19+/fx9ixYxEYGAhXV1dUr14do0ePRmJiYrFiyevevXuYP38+AGDChAmF5o+IiIBarcaZM2ewY8cOvbT09HTMnj0bzZo1g4eHB9zc3NCwYUMMGzYMu3fv1r2HQ4cOhUqlwvXr1wEAtWvXtuhYKRcXF2zduhW+vr64efMmwsPDizw2RESwceNG/PWvf4W3tzfUajX+8pe/4P3330dCQoJe3vJQ9wFAmzZt0KdPHwDAlClTDNKPHDmCHj16wNfXFy4uLqhZsyaGDh2K2NhYk9u8fPkyhgwZgho1asDFxQXe3t5o164dpk2bhv/+97+lEoddsvIdE8rHVJcApX9ks2bNZPfu3RIXFyfnzp2TWbNmiYuLi3Tr1k1yc3N1+XNzc0Wj0ci2bdsEgLRp00Y6dOggGzZskLi4ONm7d6/UqlVLAMiOHTtKJZbCbmci323Zy5cvS/Xq1cXDw0MWL14sMTEx8uuvv0r37t0FgERERBhsQ+kKVaNGDXnttdckMjJSYmJi5PLlyzJ58mQBIPXr1y9Sn+2wsDAZMmSI5ObmSoMGDQSADB8+3GjeKVOmyMsvv1xgvMePHxcA0qFDBzl48KDEx8fLqVOnZOLEiaJSqeTdd9/Vy5+VlaXX77xbt27SvHlziYqKkri4OPnpp5/Ez89PhgwZYnZMpjx48EDUarXs2rVLRESWLVsmAMTNzc1g/EF6erpoNBqZOHGiAJCXXnpJ6tWrJ9u3b5f4+Hg5cuSIhIaGCgCDmBISEuTkyZMCQGrWrCndu3eX6dOny+XLl+X8+fPy4osvFqkbjLWPkUajkUmTJumOj0ajkfT0dF36/fv35eeffxYAcvTo0RKP5TBWL6SkpOj1Rz548KAuTelXrRyr/PHmPx49e/aUJUuWyLVr1+TXX3+V5s2bCwBZsGBBicptrfhEyrYrVFHOo8ePH4tGo5F+/foZ1IE5OTl6576xc/zOnTtSp04dUalUMm3aNImJiZGYmBiZPn26NG7cWPz8/ASAnDx5UjQaTbFjqlatmu79S0hIMHs9jUYjQUFB4uTkJDNnzpSLFy/Kb7/9JsOHD9edLzk5OXr5lc+in5+fNG7cWFePx8bGyrRp00SlUkmdOnVKFI/I/46Li4uLZGVlmbWOUmcMGDBAt+zu3bvStGlTcXZ2ltmzZ0tsbKxER0fLv//9b/H09BQAsnPnThERefjwoW4sYd7jYomxREo9KCLy888/i6OjY5G+c0WeXisMGjRIAMibb74pZ86ckbi4OFm1apVUrlxZ/Pz85OzZs7r8Go1GPvzwQ7PqviNHjhSr7jO3G/XOnTt1Y0xiYmJ0yxcuXCgqlUpatmwpP/74o1y5ckU2btwoVatWFXd3d/npp58MtrVjxw5Rq9VSv359+e677yQ+Pl6OHz8u4eHhAkAqVapU5DieVWxYlDOmGhb37t2T2rVry61btwzWmTlzpgCQLVu2GKQpX64AZP369Xpp3377rQCQV155xaIxKIrSsMjJyZHg4GCjfXq1Wq20aNFCAMjWrVv10pSGBQD54IMPDPYxcuRIASDh4eFFKrdSWa9bt07Xj//atWt6+e7fvy8VK1aUH3/8scB4z549K0FBQXqVr0IZQHjq1CmDNOWzAEC+//57vbRPPvlE3nvvPbNjMmXRokUSEBCg+6JPTU2VChUqCABZsmSJ0XWmT5+uK9f58+f10tLS0nRfoPnLnPdYTZw4US9t9+7d0qpVK7PLXR6O0bVr10SlUomrq6skJSUZrPfBBx9Iu3btzI6pIAWNQVBiynvhrVCOlbFzMO/xmDVrll7aH3/8IQCkbt26Fil/YUojvrJsWBTnPBoyZIjJPu/K+2GsYfHGG28IAJkwYYJB2vjx43XHtKR9+b/66ivdttzc3CQ8PFy2bdsmKSkpBa732muvCQCZM2eOQVqvXr0EgHz++ed6ywurx5UHL/Tu3btEMQ0bNkwASKNGjcxeJyIiQgBIrVq1dMu6dOkiAGTevHkG+Tds2GD0B7vSGmOR9zPy2WefCQBxcHCQvXv3GuQ39nmbO3euAJDOnTsb5N+/f7/uvHz8+LFueVxcXKF1X9u2bUsUlzkNi5s3b+o+N6tXrxYRkSNHjoiDg4P4+voaDFA/d+6cqFQqee655/TiuXbtmnh4eIharZbr168b7OfVV18VLy+vYsfzrGFXKBvh6+uLa9euoXr16gZpbdu2BQD88MMPJtevWLEi+vbtq7esTZs2AIBz585ZrqBGzJ49W9d1K+8rr507dyI6OhrVq1dHv3799NJUKhVGjRoF4Gk3AlPGjh1rctmmTZsMbumaY+DAgSb78S9YsABBQUHo1KlTgdto3rw5oqOj4ebmZpBmzrGrXbs2/va3v+kt++c//4mFCxeaG4ZJK1aswNChQ+Ho6AgAqFChgq7ftLFuHHmFhoYajFnw8PDAsGHDADx9vKIp48aN0/u/S5cuOHXqVFGLD8B6x6h27dp45ZVXkJmZiTVr1uilZWVlYc2aNRg5cmRxQipzw4cP1/u/adOmcHNzw9WrV5GammqlUtmOkpxHRXHjxg1dl5zRo0cbpOc/r0pi1KhRWLx4MXx8fJCRkYH169ejd+/eqFy5Mjp06IAlS5YgJSVFb50zZ85g3759cHJyMlofR0REACh+Pb59+3bcuHGj2DHdvXsXAFCpUiWz11Hy3rt3D8DTR9Tu2bMHzs7Ounjy6tOnD6pVqwZnZ+dil7O4Jk2ahL59+0Kr1SI8PBw3b94sMH92djbmzZsHAHjvvfcM0jt27IjGjRvj+vXrenVcrVq10KlTJ2RmZmLdunUG21y7di1GjBhhgYgKVqVKFd3fyrGdM2cOtFotRowYYXCd8fzzz6Nt27a4e/cutmzZolu+YMECPH78GD179kTNmjUN9jNy5Eh4eXmVUhT2hw0LG6LRaDBp0iQ8//zzqFKliu4CXbnoLKgvbM2aNQ0qOh8fHwDAgwcPSq/QePplcu7cOYNXXj/++CMAoEWLFkb7BdepUwcA8Ntvvxn00QUAtVqN2rVrGyxv3LgxXF1dkZubi6NHjxa57Hn78a9ZswZxcXEAnk7Q9+WXXxbYbz+vP//8E++++y6CgoLg4+OjO3ZjxowBUPCxa9iwYZHLbY6zZ8/i3LlzePvtt/WWKxfDZ86cwfnz502u36hRI6PLW7VqBQA4evSowdgfALpnxVuKNY+R8uWZ/+Jx586dyMrKMmgkl0ceHh7w9/c3WO7t7Q0AFnnuvj0r6XlUFL/++itEBJ6enqhXr55Bep06deDq6mqRfQFPGy83b97EunXr0KdPH1SqVAnZ2dk4ePAgxowZg7p16+L777/X5Vfq8UaNGsHDw8No+YCnY0nu3LljkG6qHq9Tpw68vb0hIjh8+LClwisWJcaGDRuiYsWKBunOzs64ffs2unXrVtZFAwCsXLkSQUFBuH//Pvr27YusrCyTec+cOaMbg6iMC8pPWb5v3z695abqvm+//RZPnjzBgAEDih2DuSTPWD6VSoXc3Fz8/PPPAP73PZSf8hnMez2gHNMXXnjB6Dp9+vTRjZGhwrFhYSNiYmLQtGlTLFiwAB07dsSOHTt0F+jLly8HgAIrkMqVKxssUxoalpwEyBgfHx/Uq1fP4CUiuoFdyq9Qe/bsMXp34/XXXwfwdIB2cnKywT58fX2N7tvBwUEX+61bt4pV/gEDBuh+EZ81axaAp7/G161b16wvj19//RXPP/88oqKiMHDgQOzevVt37P7xj38AKPjYmYqtpJYvX46OHTsaDCBs06aN7k5EQb+2+vn5GV2ulPfJkydGB86XRjzWOka9evVC5cqVER0djePHj+uWL1++HIMGDdI9lKA8M1Y3AP+rH4w15Ol/SnoeFYVSh5k6h1Qqlcnzsrjc3d0RHh6OLVu2ICkpCb/88gveffdduLu7IykpCQMGDNBddCn1+KVLl4zW482aNdNt11hDvaC6QUkrbj0OAM899xyAojWWlbzKukqspVUvl1SFChWwfft2eHp64sSJE5g4caLJvEoseb8n88sft0IZGH3hwgWcOHFCt3z58uUYMGCA0YalpeUd0O/n54ekpCTdxHlvvvmm0c/gN998A0D/81fej6mtcbJ2Acg8kyZNQlJSEkaNGqV7qoXCnIq2uE8HKWu9evXC7NmzC8yj/JJqrry/ahSHo6MjPvnkEwwePBhr1qzBuHHjsHDhQqxcudKs9UePHo2MjAx8+umnBk+vMOcioDSOXUZGBjZs2ID09HSD28XA06ckAcC6deswb968Iv0KWtj7XRrxWOsYubi4YPDgwfjiiy+wfPlyhISEID4+HgcOHMCcOXNKFJMlmPPZt5W6wZiSntslVVrnUWFxWStuR0dHhIaGIjQ0FJMmTUKrVq3w4MEDbNy4Ue+8adOmTaFPHAwICCjSvi0Rc0hICFatWoWrV68iOzvbrO5Kly9fBgC0a9euxPsvKw0aNMDq1avxxhtvYNGiRXjppZcs/mhgFxcXDBkyBJ9//jlWrFiBNm3a4ObNm9i/f7/ejyyl6fTp07q/Q0JC9NJWrVqFli1bmlzXFn70sVW8Y2EjfvnlFwDAq6++auWSlA6la0x2drbRuxt5X05Ohu1hpf9rflqtVneHo6hfZHkp/fizs7PRsWNHBAQEoGfPnoWud//+fURHRwMoX8du69atcHZ2xsWLF412Uzt16hScnZ2RnJyMnTt3Gt2G0qc1P+VXJLVabfJXsNJgrWOkdAnYvHkzUlNTsWLFCjRv3hwtWrQo8raKQ+nXb+zOgiUe0Wlt5Tm+kpxHxYlLqcNMzVUgIibrwqKaPXu23i/R+dWpU0fX3SU+Ph7A/+rx9PT0QutxtVptsM2Cyq68JyWpx19//XW4ubkhKysLv/76a6H5U1JScPLkSQDQdWtUYrT2Z68wPXv21DX2RowYgZiYGIM8SixardbkZ0qp5411X1Xqvk2bNuHx48dYuXIlgoODTXarsjTlMfRNmzbFX/7yF1SpUkXXYFCr1QV+/qpVq6bbjq0cU1vBhoWNKKi7UkH9822FckF36tQpk79MDR48GIMGDTKalpmZaXQegwsXLiAzMxOOjo548cUXi10+5Rdx4OmX+ieffGLWL72FdTOz1rFTblfXr1/faKXbrFkzvPbaawBMd+NQfsnLT/kV6cUXXzTaCCwt1jpGwcHBaNu2LR4/fox169YhKiqqTAdtK4MKjY2Vunr1apmVo7SU5/hKch4VJ67Q0FCoVCqkpKTgzz//NEi/du2a7i5JSS1durTQiceUxoHShUSpxy9fvoy0tDSj60yePBmvvPKK0fPOVD1+9epVPHz4ECqVCi+//HKR4sjrueee081fUdDDJRRff/01MjIy0K5dO113XCXGmJgYow82yMjIQOfOnbF06VK95Q4OhpdbCQkJePz4cVHDMNvMmTPRqVMnpKWloXfv3gbpLVu21P34Y6oRqTSslM9xXg0aNEBoaChSU1OxceNGrFq1qkwGbQNP56lQHmTw6aefAnj6HfDKK6/olTu/uLg4NGvWDJs2bdItU46pqXW+//57dOzYkeMszMSGhY1QfgEwVtHnfbqBrerRowcaN26M27dvY/PmzQbphw8fxrp16wq8Hb1kyRKDZYsXLwYA9O/f3+gA1aIYOHAg3nrrLbz11lsGT9gyxdfXV9f3Ov+x02q1RieXKm1//vknfv31VwwZMqTAfIMHDwYA/PTTT0afxHL48GFcuHBBb9njx491kyWNHz/eMgUuAmsdI6UhMXXqVCQnJ5tsAJcGpd963m4BwNP+7j/99FOZlaO0lNf4SnoemYrr8ePHun7g+dWsWVN3F+4///mPQfqXX35pbvHNsmbNGjx69MhoWlpaGnbs2AGVSoVevXoBePrwjS5duiAzM9Pok5+uXLmCL7/8Es2bNzd6oQ0UXI/36tXL6FN7imLGjBno1KkTdu3ahQULFpjMd+TIEURGRqJ69ep6x0OJMTs7G1999ZXBelFRUdi3bx+aN2+ut1x5upTSkHjw4AGqVq1aqpPUOjg4YOPGjQgMDMSlS5cM0p2dnfHRRx8BABYuXGjwo96BAwdw8eJFBAYG4q233jK6D6XumzJlChISEvDmm29aOApDx48fR+/evZGbm4sZM2aga9euurSpU6fCwcEBK1euNDqWZtasWYiNjdU1QICnkyV6eHjgu+++M/iuy83NxaeffgqNRmPRh47YNWs845ZMM/U898OHD4uzs7M4ODjI3//+d7lw4YL8/vvvEhERIa6urgJAQkJCRKPR6J7dnHeCvPxp9+/f1026B0A0Go3cv3/fIjEo21Ymtpo4caJuQqC8EyPlFxsbKzVq1BB3d3eZP3++xMbGyuXLl2Xx4sXi4+MjPXv21K2v1WoNJlYKDg6WGTNmSGxsrMTExBR5gry85e7Xr5/Z74mpeJWJgTZt2iQqlUrUarV89tlncvnyZTlx4oT06tVLd+yU/aWnpxtMkqWklXRyKGW7EyZM0E02lf8534qHDx9KXFycuLu7CwCZMmWKaDQayczM1M0d0LdvX2ncuLHs2LFDrl+/LkePHtU9fzz/hHL37t3THauAgABdPJmZmUWKobwco/zS0tKkYsWKAkCGDRtWpJjMUdA8D/Hx8eLu7i4VKlSQqKgouXr1qhw6dEhCQ0Nl4MCBevEqZTd2PJT3wtiEXiWdyKss41M+5/nrPkvVb5Y6j1JSUqRq1ari5OQk//rXv+TKlSty4sQJ6dy5s24yOeUzl3f7+SfIi42NldjYWImMjJRXX31VatSoYZH5EpQJVBs2bCgrV66U6OhouXnzppw5c0a+/vpr3cSUM2bM0Fvv7t270qRJE3F0dJRp06ZJdHS0/Pnnn7JmzRqpUaOGtG3bVm8OARH9iU5fffVVXT0eGxsr//d//2exCfIU6enpujktunXrJjt27JArV65IXFycHDx4UMaMGSPOzs7SunVro/MaKDE6OzvLnDlz5MqVKxIdHS3z5s0TtVotkydPNljn/fffFwDy4YcfytWrV2XSpEni6OgoFy5cKHL57927Z1APFnSOnj59WtRqtdF5LPJOkDdo0CDdBHlRUVFSuXJl8fX11ZsgL7+MjAzx9vYWADJw4MAix5JXUlKS0Xr69u3bEh0dLZs3b5Z+/fqJg4ODeHt7y5o1a4xuZ/HixeLg4CDNmjWTH374QeLj4+W3336ToUOHioODg3zzzTcG6+zYsUNcXV2lQYMGsmvXLt2kr6+//rp4eHjI6dOnSxTbs4QNi3JG+YLNOxmP4vjx49K5c2fx9PQUZ2dnqVWrlowePVo2b96sayAgz6QyeZflT1MuAPO+LDWRlLFtK6/CvuySkpJk8uTJ0qBBA3F1dZUqVapISEiILF++XG+m1AcPHuhtNzAwUO7duycRERESEBAgzs7OUrVqVRk9erTRCXzMLbc574mpePNOXLR79255+eWXxd3dXVxdXaV+/foyZcoU+fLLL/XWWbVqld5kUflfJWFsu6YmIFIm78r/OnjwoN6kZOfPn5fXX39dfHx8xNXVVZo2bSpff/21aLVave0pk0MZ215RlJdjZIwyGePRo0eLFJM5CqoXRESOHTsmoaGh4ubmJp6entKtWze5ePGi3mSGAGTZsmUiYvx4KO+FsWNflFnRrR2fqfPHUvWbpc4jEZFLly5J165dpUKFCuLh4SFhYWFy+PBhvckxAcjHH3+st12lrqtataq4uLhInTp1ZOrUqZKRkSE1a9YUAEYviIvizp078tVXX8nAgQMlODhYPD09xcHBQdzd3aV+/fry1ltvyZEjR4yum5aWJrNmzZKmTZuKm5ubVKpUSVq0aCGff/65QaMi73saGBgo6enpMnnyZKldu7a4uLhI1apVJSIiolQat6dOnZJRo0ZJw4YNpUKFCuLq6io1atSQ3r17y5YtWwzqsfwxzpw5U5o0aSJubm7i4+Mj7dq1k02bNhld7+HDhxIeHi7e3t6iVqslKChI1q1bV6xyGzt/CztHV65cabL+0mq1smHDBmnfvr14eXmJi4uL1K1bV8aPHy937twptDzjxo0TAEZntC6K559/3uj5olKppGLFilK7dm3p06ePLF26VNLS0grc1vHjx+WNN94QPz8/cXFxkVq1aknfvn2NTkariI6OlsGDB0u1atXExcVFAgMDZdCgQXL58uUSxfWsUYlY+bEapGfZsmV455130KhRI6O3LomsLTIyEjNmzMD06dMRGRlp7eKUGzNnzsTGjRt1A8Etyd7rBXuPryxVrlwZycnJePToETw9Pa1dHLPEx8ejdu3aCAwM1A0EJyLbxDEWVnT06FGDSYKU5/4bm2GbiMovS820be/1gr3HV9ouXLhgdBwa8HQwcHJyMmrVqmUzjQoisi9sWFhReHi4wZNClIF8YWFh1igSEZnh1q1buon4gKcDc2/duqUbqFsS9l4v2Ht8pe3MmTMYNWqU0UHVy5YtAwAMGzasrItFRASAE+RZ3ZIlS9CmTRvUrl0bu3btws6dO+Hv74+IiAhrF41IT0ZGBh49eqR7jGRaWhoSEhJ0M5o+SxISEvB///d/eP7551G7dm1MnDgRo0ePtti8HfZeL9h7fKXt0aNH6Nq1K6ZPn44GDRogNTUV33zzDWbPno3Q0FBMnjzZ2kU0W0JCgm7+gNzcXCQkJMDR0ZGzIBPZKI6xsKJly5Zhw4YNiI6OxsOHD+Hr64tOnTohMjJS9/hLovIiKirK6C+hz+JYi//+97/o3r074uLi4O7ujl69emHJkiVFmqHcFHuvF+w9vtKWlJSEdevW4fvvv8d///tf3Lt3D46OjmjUqBEGDhyIsWPHwsXFxdrFNJuxuWY41oLIdrFhQUREREREJcYxFkREREREVGJsWBARERERUYmxYUFERERERCXGhgUREREREZUYGxZERERERFRibFgQEZWRmTNnQqVS6V5RUVFWKceTJ0/0ymGpx7xGRkaWi/iIiMg62LAgIgKQnJyMyMhIvPDCC/Dy8oKLiwuqVq2KFi1aYPDgwfj6668RExNTon1MmDABGo0G/fr1s1Cpi0etVkOj0eDkyZMW3e6kSZMKjW/WrFnw8fHBzz//bNF9W1J8fLxeAynv69ChQ3p58zemLN1YM9eBAwfg4+ODTz/9tEz3S0SUFxsWRPTMu3TpEoKDg/Gvf/0L3bt3x4EDB3D16lX8/PPPeP/993H69GlERESgT58+JdqPh4cH/P394ebmZqGSF5+/v7/FZzeuUKFCofFt2LABDx48wPbt2y26b0uqUaOGQcPr5MmT0Gg0aNeunV5epTE1ceJEAEBISAg0Gg1OnTpVpmXesWMHHjx4gPXr15fpfomI8nKydgGIiKxt5MiRSEhIwKZNm9C/f3+9tEaNGuHVV19F8+bNrVQ6+/Lhhx/iq6++MjqLe3nh6OgIf39/PHnyRLfM19cX/v7+BnkrVKigewGAi4uL0Xylbfjw4Thz5gxGjRpV5vsmIlKwYUFEz7RHjx7h2LFjAIAuXboYzePv74/+/fvjwIEDZVk0uzR06FAMHTrU2sWwOy1btsRvv/1m7WIQ0TOOXaGI6Jmm1Wp1f9++fdtkvmnTpmHbtm1G09LT0zF79mw0a9YMHh4ecHNzQ8OGDTFs2DDs3r1bbx/5HTlyBH/9619RsWJFeHp64m9/+xtiY2NN5o+Pj8c777yDwMBAuLi4wNfXF127dsW+fftMrvPHH3+gR48e8Pb2hoeHB1q1aoXVq1ebzF+lShWTYwWGDh2qN5YgPj7e5HbyOnTokN56eRsXR44cMUi7desWBg0ahCpVqsDNzQ2tWrXC7t27C3xf3nzzTfj5+UGtVqN+/fqYNm0a0tPTrTr2Ia/k5GRMnToVQUFBcHNzg5eXF1588UUsX74cubm5enlHjBhhMLZjz549CAsLg5eXl97yguIzNQYk78vPz8+grLdu3cLYsWNRt25dqNVq+Pj4oGPHjkbPgY4dOxp8JlasWIGmTZtCrVbjueeew6hRo5CammrR95OIyiEhInrGVatWTQBIWFiYJCQkFGndu3fvStOmTcXZ2Vlmz54tsbGxEh0dLf/+97/F09NTAMjOnTv11hkyZIgAkGHDhslrr70mJ06ckNjYWJk3b544OjpK9erVJTU11WBfhw8fFi8vL/H19ZV169bJlStXZP/+/dK2bVsBIHPmzDFY5+DBg+Lm5ibe3t6yatUqiYuLk1OnTknfvn3l7bffFgASGBhoENPJkyeNpj18+FA0Go0EBAQIAImLizPYpxLfqlWrdMsyMzNFo9HIF198IQBkyJAhurSsrCy9tG7dusmLL74ou3btkmvXrsmWLVvEx8dHHB0d5dSpUwb7i46OlsqVK4urq6ssWLBArl69KufPn5fRo0dL+/btBYAAEI1GI/fu3TM8iCbExcXp1jUWZ17Tp0/XfYaMuXLlitSsWVMqVKggixcvlqtXr8off/who0ePFgDStWtXyczM1OV/9OiRaDQaCQkJEQASEREhHTp0kMOHD8u1a9fkn//8pwCQgwcPikajMXm8pk+fLv369RONRqP3io2NFX9/f6Ofm2PHjom3t7c899xzsn79eomLi5OTJ09Knz59BICMHDlSL39ycrLeZ+Kdd96R9957Ty5duiS///67vPnmmwJAevToYe5bT0Q2ig0LInrmffXVV7oLSDc3NwkPD5dt27ZJSkpKoet26dJFAMi8efMM0jZs2CAAZMeOHXrLlQtvb29vSUtL00t74403BICsXbtWb/mDBw/kueeeEwBy/PhxvbSMjAypWrWqODg4yMmTJ3XL09PTpXr16gJAvv32W711cnNzpXnz5kYvRkX+d1FtLE1EJDAwsEgNC8WqVasMGhb50wDI0aNH9dIWLlwoAOTtt982WK9FixYCQBYuXGiQ1qNHD902i8pSDYucnBxp0qSJAJCNGzcapIeHhwsA+fDDDw3SwsLCBIBUr15dMjIy9NLq16+ve59MHa/p06cbfa8HDhwoAKRjx46i1Wp1yx8+fChVq1YVAHLs2DG9dXJzc+Xll18WALJ48WKDbSqfiU6dOuktz87OFl9fXwEgN27cMFiPiOwHu0IR0TNv1KhRWLx4MXx8fJCRkYH169ejd+/eqFy5Mjp06IAlS5YgJSXFYL2zZ89iz549cHZ2RkREhEF6nz59UK1aNTg7Oxvdb79+/eDh4aG3rE2bNgCAc+fO6S1fsWIF7t69i5CQELRt21YvTa1WY+jQodBqtViyZIlu+datW3H79m1Ur14dr7/+ut46Dg4OGDNmjOk3xYoaNGhg8PQlU+/L4cOHcfbsWbi4uODtt9822Na4ceMsUqbg4GC9gdr5X7Nnzza57rfffosLFy7oxurkN2HCBADAl19+iQcPHhjdxsiRI6FWq/WWxcbGGrxP+b3zzjuIjIzUW7Zq1Sps3LgRvr6+WLt2LVQqlS5txYoV0Gg0aN26NUJCQvTWc3BwwPjx4wE8nZPFVBe/4cOH6/3v5OSEli1bAnjaLY+I7BcbFkREAEaPHo2bN29i3bp16NOnDypVqoTs7GwcPHgQY8aMQd26dfH999/rrfPjjz8CABo2bIiKFSsabNPZ2Rm3b99Gt27djO6zXr16Bst8fHwAwOACU9lXq1atjG6rTp06AICjR4/qlv3yyy8AoLuoy69Ro0ZGl1tbUd4XJcaGDRsaNNIAy8W4e/dunDt3zuTLWMNSkffY5b2IVzRr1gwuLi548uQJfv31V6PbKG4c1apV0xt3ceXKFYwbN043gWH+J1gpZW3durXR7SnLNRoNLly4YDRPUY4fEdkXPhWKiOj/c3d3R3h4OMLDw5Gbm4ujR49i06ZNWL16NZKSkjBgwABcunQJgYGBAIDr168DQLHng6hcubLBMienp9Vy/sG8N27cAAB8/fXXWLlypcF6Sv68A9Bv3bpVYPms8VhUcxh7X5S7Pvnfl7KKMTAwsMCB38qFszHK58TYIGng6eNtK1euDI1Go8ubnyXmHMnKysKAAQPw+PFjvP/+++jatWuRy/rcc8/p5X3++ecN8hTl+BGRfWHDgojICEdHR4SGhiI0NBSTJk1Cq1at8ODBA2zcuBFTpkyxyD6M/XpdmDFjxmD06NFF2qaIFHk/hSmNbSqK876UZnnKg+K8J/l99NFH+P3339G8eXPMnTvXAqUyzhJlJSLbxK5QRPTMmz17Nk6cOGEyvU6dOhgwYAAA6D1eVblzkZiYWKrly7svEUG9evVMvurWratbJyAgoMDyJSQkmNyfo6MjANO/MCclJRUrDksrSYxlRTl2d+/eNZqem5uL+/fv6+W1tB9++AELFy6Eh4cHNm3aBBcXl2KVNe/y0iorEdkuNiyI6Jm3dOnSAudIAKAbOJu3S8qrr74KAIiJiTH6jP6MjAx07twZS5cuLXEZlX2dPHnSaLqIoFOnTpg0aZJuWVhYGADgzJkzRte5fPmyyf15eXkBMN4nXqPRID093byClzIlxtjYWKSlpRmkFxRjWVGO3alTp4wOeD537hyysrKgVqsRGhpq8f3fuXNHN2/Il19+ifr16+ulR0VF6d47paymGtrK569q1apo0qSJxctKRLaNDQsiIgBr1qzBo0ePjKalpaVhx44dUKlU6NWrl255ixYt0KVLF2RnZ+Orr74yWC8qKgr79u1D8+bNS1y+t99+G/7+/jh+/LhupvC81q9fjwMHDqB9+/a6ZX369EH16tVx584dfPfdd3r5tVotFi9ebHJ/np6eqF27Nh4/foyYmBi9NGNjPKzl5ZdfRosWLZCVlWW0XF9++aUVSqWvR48eaNy4Me7du4eNGzcapC9YsAAAMHbsWHh7e1t031qtFoMHD9aNERo2bJhBnmHDhunuQCmfs9OnT+PIkSMG21q4cCEA4OOPP4aDAy8hiEgfawUieuYpswW3bdsWq1atwqVLl3Dr1i2cPXsWS5cuRatWrRAfH4/IyEi0aNFCb92oqCg0adIEH3/8MebOnYs///wTly5dwmeffYYPPvgAkydPxgsvvADg6R2MhIQEZGRkAAAePXqEhIQE5ObmIjc3FwkJCbrGTf68Xl5e2L59O7y8vNCjRw+sWLEC165dw8WLFzF79myMHDkS48aNw9/+9jdd2dzc3LBu3Tq4ublh6NChWL16Na5fv44zZ85gwIAB8PT0BADdvpOTk/ViU8ZyDB06FEePHkV8fDz+85//4OzZs6hZsyaAp12QlO5GaWlpRuPLyMhAVlaW0fjS0tIKjT0xMVHX1Sl/XgBYu3YtKleujMmTJ2PhwoW692Xs2LEFDqo2RdlH3u5VSpxZWVl6eZWYlV/8lTjzruvo6Iht27ahRo0aukcbX7t2DRcuXMCYMWOwfv16dO3aFbNmzTLYrrK/5ORkg7gVefeX/1jOmTMHP//8M7y9vTFu3DhcvHjR4JWX8jnz9vZG7969sX79ely/fh2nT5/GgAEDcPjwYYwYMULvUcV5P8fKe6WUp6DPPBHZIavOokFEVA7cuXNHvvrqKxk4cKAEBweLp6enODg4iLu7u9SvX1/eeustOXLkiMn109LSZObMmdKkSRNxc3MTHx8fadeunWzatElv8rG8E8DlfcXFxelNxpb3lX+SuRs3bsjo0aOlVq1a4uLiIv7+/tK+fXvZsmWL3r7yOnfunHTv3l28vLxErVZLUFCQzJkzR65cuaK3rzZt2uitp9VqZe7cuVKnTh1xdnaWgIAAmTx5sjx58kQ3GZryys7O1k0SZyyGgwcPGk2bPn16obHn3xeMTLB37do1GTRokG4G7oYNG8q8efMkOztbAIhKpTL782CqPPj/M13nZSpmYxML3r9/X6ZMmSINGjQQV1dXqVixooSEhMjSpUslJyfHrO0am+zOWD5lor5atWqZjCX/ZzCvGzduyJgxY6R27dri4uIilSpVkg4dOsiWLVsM9q9MiGgs/oI+80Rkf1Qidv4oDSIiemalpqbC09MT3t7eBndkiIjIstgVioiIbNqRI0ewd+9eo2mXLl0CAKPzLRARkWWxYUFERDbtwIEDGD9+PLKzsw3SlCdyGRu0TERElsWGBRER2bwrV67gjTfewOHDh3Hjxg2cPXsWY8aMwcqVKzFgwAAMHjzY2kUkIrJ7HGNBREQ27caNG1i3bh12796N+Ph4JCYmQq1Wo2nTphg2bBiGDRvG2aCJiMoAGxZERERERFRi7ApFREREREQlxoYFERERERGVGBsWRERERERUYmxYEBERERFRibFhQUREREREJcaGBRERERERlRgbFkREREREVGJsWBARERERUYn9P1DZzk+DC7hDAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)#, inventory_zero = {houston: {(LiI, Power): 1}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 456044 rows, 403113 columns and 1308398 nonzeros\n", - "Model fingerprint: 0xb4236c18\n", - "Variable types: 403098 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 330092 rows and 295043 columns\n", - "Presolve time: 2.08s\n", - "Presolved: 125952 rows, 108070 columns, 429305 nonzeros\n", - "Variable types: 108064 continuous, 6 integer (6 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 28776 8.6409976e+06 0.000000e+00 3.158418e+09 5s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 49297 1.8643301e+05 0.000000e+00 0.000000e+00 8s\n", - "\n", - "Root relaxation: objective 1.864330e+05, 49297 iterations, 5.02 seconds (6.27 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 186433.008 0 1 - 186433.008 - - 7s\n", - " 0 0 186433.008 0 1 - 186433.008 - - 7s\n", - " 0 2 186433.008 0 1 - 186433.008 - - 8s\n", - "* 1 0 1 1036373.0901 1036373.09 0.00% 76346 75s\n", - "\n", - "Explored 3 nodes (169148 simplex iterations) in 90.89 seconds (278.63 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.03637e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (7.7073e-06) exceeds tolerance\n", - "Warning: max bound violation (7.8185e-05) exceeds tolerance\n", - "Best objective 1.036373090139e+06, best bound 1.036373090139e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1.5544041947888507" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']*0.15/(1000* results_cost.output['S_network']['H2(C)', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'ASMR', 0): 0.0,\n", - " ('HO', 'AqOff', 0): 0.006454158406885114,\n", - " ('HO', 'H2_Comp', 0): 0.0231944569516097,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'NGCC', 0): 0.02287491903911081,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PSH', 0): 2.7772446822591066e-07,\n", - " ('HO', 'PSH_discharge', 0): 100000.0,\n", - " ('HO', 'PV', 0): 0.04338833172862552,\n", - " ('HO', 'SMR', 0): 0.0231944569516097,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'WF', 0): 0.028179260799955835}" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='SMR',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('CO2_AQoff', 0): 18.726531133983322,\n", - " ('CO2_Vent', 0): 950.8705859017889,\n", - " ('H2(C)', 0): 100.01000000000006,\n", - " ('O2', 0): 0.0}" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1MAAAHtCAYAAAD85ySwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACnkElEQVR4nOzdd1gU1/4/8PcuZekgCqICNgTELoKFGI0t1sQSC6YYNcXEmNz0xBhb5Jqi8ebGJN/ELkZjEizRRKPYFQt2jaCCgKI0FekssHt+f/jbvaxbWOpQ3q/n4UmcmXPmM7NnZuczM3uOTAghQEREREREROUilzoAIiIiIiKiuojJFBERERERUQUwmSIiIiIiIqoAJlNEREREREQVwGSKiIiIiIioAphMERERERERVQCTKSIiIiIiogpgMkVERERERFQBTKaIiIiIDBBC4NatW1KH0SDcvHlT6hCIKoTJVB1WWFiIlStXYvjw4WjRogVsbGxgY2OD5s2bo2/fvpg5cybWrVtX5V8EL774ImQymc5fbRMZGakX49q1a6t8PbVxX/z222944okn0KhRIygUCnh5eWHo0KFYsWKF1KEZ1KpVK719+OiflZUVmjdvjtGjR2PHjh1Sh0xUp61cuVLvGDt48KDOMomJiWUelzKZDLa2tvDx8cH06dNx4cKFMtcdFRWFl156CQEBAXBycoKlpSUaNWqELl26YOLEiViyZAlOnjwJlUqlV7Z///5G42jVqpXe8mVtw/z5803GevXqVfTs2ROrV68uc7vIOHO/j+fNm4ehQ4ciNTW1StY7Z84cODo6Yu7cuVVSX0XUdJslaciEEELqIKj8rl+/jlGjRuHq1avw9PTEpEmT0KpVKygUCty+fRt79uxBVFSUdvnw8HA899xzVbLu48ePIz4+HkeOHMFPP/0E4OHdu9okNTUVkZGRAIDnn38eALBmzRq8+OKLVbqe2rYvFi1ahE8//RSOjo5444030KZNG8TExOC7776Dh4cHEhMTJYvNmG3btiE3N1dnH86ePRvt27cH8HB/pqenY/v27Thy5AgAYPz48diwYQOsra0li5uoIhITE7UXkv/617/g4uJS4zHEx8fj+PHjuHv3Lt5++20AwIEDB9C/f3/tMnl5edi6dSsA4KefftIee+Hh4dplVCoVEhMTER4ejvj4eFhYWODzzz/He++9p7dOlUqF1157DStWrICVlRUmTJiATp06wd3dHQ8ePMDp06exdetWFBQUAAAGDhyoPYdr7N27F2lpaYiJicG///1vAMArr7yCvn37wsHBAaNHj9ZZvqxt6Ny5Mzp37mxwHx09ehSjRo1CmzZt8Ndff6Fp06Zl71gzaC6GR48eja5du1ZJnbWdud/H165dw9ChQ1FcXIy9e/fC39+/Uut1cHBAXl4eHBwckJOTU6m6Kqom22xd8+DBA/znP/8B8PDGtKHkss4QVOfk5eWJVq1aCQDi5ZdfFkql0uBy69atE3K5XAAQK1asqPI41qxZIwCI2t6MNDGuWbOm2tZRG/ZFRkaGsLa2FgDE9u3bdeZ99NFHomXLltIEZqbS+/DAgQMGl5k9e7Z2mddff71mAySqAgcOHNC24YSEBEljSUhIKPOYE0KIKVOmmDy/FRQUiAEDBmiX+fXXX/WW+eCDDwQA0apVKxEfH280Hh8fHwFAhISEGI2n9D4097xe1jaUdv36deHq6io8PT1FWlqaWfWbqya+j2qzsrY/NjZWODo6irZt24q7d+9Wal0ff/yxsLe3Fx999FGl6qkK1d1m6yJzzz91AV/zq4PWrVuHxMREODk54ZtvvjF6d/6FF17Q3gWi+u/EiRMoKioCAJ07zADw0UcfYd++fRJEVbUWLlwIHx8fAMCPP/6I+Ph4iSMiIhsbG6xcuRJy+cNLig8//FDnCX1WVpb2DvSiRYvQpk0bg/W0atWqVryOPH36dNy/fx//+c9/4O7uLnU4DYqfnx/mzp2L+Ph4vPvuu5Wq69///jdyc3OxePHiKoqOyDAmU3XQoUOHAAABAQGwtbU1uezkyZNrIiSqBe7fv6/9fycnJ515zs7OaNu2bU2HVOUsLCzw9NNPA3j42tDOnTsljoiIAKB169bo1q0bACAhIQEXL17Uzjt+/Lj2Rk+PHj1M1tO/f380b968+gItw7Zt23D48GG0a9cOY8eOlSyOhuy1116Dk5MT1q9fj/Pnz0sdDlGZmEzVQffu3QMAZGRklLlsz5498dVXX6Fnz57VHRZJTK1WSx1CjSidFPLJFFHtYezY1HxnAeZ9b3399dd44403qjY4My1fvhwAMHHixFrRoVBDZG9vj6eeegpCCHz//fdSh0NUJiZTdVCjRo0AADdu3MCpU6dMLuvs7Iz33nsPnTp1MrqMEAIbN27E0KFD0bRpU1hZWcHV1RW9e/fGhx9+iOjoaLPiOnv2LMaOHQt3d3fY2NigQ4cOWLJkiVkX+QcOHMD48ePRvHlzWFtbo0mTJujXrx++/fZbKJVKk2XT09Mxa9YstGrVCjY2NmjRogVCQ0PL7FmqV69eOr3kPPpqXGpqapX3CJidnY2FCxeiW7ducHJygp2dXbl6wjJE06Pg1KlTtdPK6jGouLgY3333Hfr164cmTZpoe/2bPHkyjh07ZnI9j/ZceOXKFbzwwgvw8vKCpaWldl51dXZhYWGhsx2P2rlzJ8aMGYNmzZpBoVDA3d0dTz75JH7++WeDnYMY6zXp0d7NwsLCIJPJsHDhQrPqeJRarcbq1asxYMAA7T7X9FC4fft2g9v6aE+Hmjb6119/4cknn4S7uzvkcrnRz7kspY8dhUKBpk2bYtSoUdpXQh/dpkd/LK2xZcsWjBgxAk2bNoW1tTWaNm2KoUOHYv369Wb1yqaJff/+/RgyZAhcXV1hZ2eHwMBArFmzxqxtqaoYjh8/jrFjx6J58+awsLDQ+zw1T0SnT5+OgIAA2Nvbw8bGBq1atcKzzz5r9Jy8du1ayGQyPPHEE9pprVu31onBWAc55d220uLj4/Hiiy9qe3z19vbGyy+/jISEhDL2aPkZOzY131kA8Msvv5RZz8SJEzFp0qSqDc4MGRkZ2L9/PwDofE6G3L59G//617/Qvn172NnZwcbGBj4+Pnj22Wfxyy+/oLCwULts6R7aNKZOnVrmeRoALl++jJdeeglt2rSBra0tGjVqhODgYHz++efIy8vTW95Qb3Dz58+HWq3G8uXLERQUBGdnZ5NtTorv40dpznW//fZbmW38Ueb0svvofM1++OmnnxAYGAgHBwe4uLhgyJAhOp151VZ3797FJ598gi5dusDJyQn29vbw9/fHW2+9haSkJL3lY2Njy7y++fzzz8vcjxpXr17Fyy+/jLZt28LGxgZ2dnYICAjASy+9hB07dqCkpES77MGDByGTydC6dWvttCeeeMLk9ZjGsWPHMHnyZHh5eUGhUGjb5vfff2/wekCzrke3Mzc3Fx9//DF8fHxgY2MDDw8PvPDCCxXv/Vran2xRRSxdulT7oz1PT0+xe/fuCtf14MED8cQTTwgAwsvLS8ydO1esWLFCzJ07V7Rr1067ntdee02vbOkOA/bu3Su8vLzEnDlzxKpVq8R7770nbG1tBQDxxhtvGF2/SqUSb7zxhgAgXF1dxUcffSRWrVolwsLCRPv27QUA0aFDB3Hz5k2D5S9fvizc3d0FAOHn5yc+//xzsWLFCvH6668LFxcXsXv3bqM/+ty9e7cIDw8Xffv2FQBEv379dOYXFBSI8PBwER4eXuYPR83pgOL8+fOiWbNmAoAYPHiw+Pbbb8VPP/0kXnzxRWFpaSlkMplYsmSJ0fLGREVFifDwcPHKK69oY9DEHR4eLrZu3aqz/K1bt0SnTp0EANG+fXuxePFisWLFCvHmm28KOzs7AUC88847Qq1Wl7meAwcOiCZNmog33nhDrFixQnz00UfCxsamQj+uN6cDCiGEmD9/vna5RYsWaacrlUoxceJEAUA0btxYfPjhh2LlypVi3rx5wsvLSwAQTzzxhHjw4IFOfeHh4eK1117T1vnNN9+I8PBwkZqaqrNcUFCQACACAwP1YgoPDxfffvutACBeffVVER4erjP//v37IiQkRGefr1q1SnzwwQfC1dVVABDjx48XhYWFOuW2bt2q10a//PJL4enpKebOnSt++ukn8dxzzwkA5e5gxNSxY2Njo90eAOKVV14R4eHh4uDBgzp1FBYWirFjx2rPH/PnzxerVq0Sc+fO1e7zfv36iczMTJ1ye/bsEeHh4WLMmDHa2NetWydat24tFi1aJFauXCleeeUVYWFhIQCYPC6qMoaNGzcKNzc38cEHH4gVK1aImTNnamPQ+Ne//iUACLlcLiZOnCj++9//imXLlonJkycLuVwu5HK5+Oabb/TijI+PF+Hh4TqdqCxbtkznWI2KiqqSbdM4ePCgsLe3FwBEUFCQ+Prrr8WPP/4oXnjhBdG4cWOxdevWKumAQqN///7a5Y4ePaqdnpaWpt2PcrlcfPrppyIvL89kXaZU14/5f/nlF+0ypjqeOH/+vGjUqJGwsLAQEydOFP/5z3/EDz/8IF577TXt916HDh20y+fm5up9l2iOKWPnaSEeftdbWFgIS0tLMW3aNPHTTz+JpUuXiuDgYG2buHz5sk6Z0utq0qSJACA+/fRTMWrUKBEYGCiWLFkivv/+e9GnTx8BQEyZMkVbVsrv40edOHFCu+ypU6dMLvsoQ99Vj9LsI39/f+1+mD59uujdu7f473//K3744QcxZMgQAUBYW1uLY8eOlSuGR1VnBxQHDhwQjRo10rm2+OGHH8QzzzwjAAgbGxuxefNmnTJZWVllXt9cvny5zP0oxMNzqUKhEDY2NmL69Oni22+/FcuXLxcvvPCC9rgfMWKEdvnU1FQRHh4uli1bpq139uzZOsfDnj17dNahVqvF22+/LQAIOzs78eabb4oVK1aIxYsXa9tmp06dRHJysk45zbpKb+fy5ctF165dxaRJk8RPP/0klixZoq3Dy8vL6PnUFCZTddDdu3e1J0nNX9euXcXXX38tkpKSzK5HpVJpE6lOnTrpNSClUqn9In/66af1ype++O3QoYO4ceOGzvwNGzZovzyNXVjPmTNHABDNmzfXO0EXFhaKgQMHCgCiR48eori4WGd+Xl6eaN26tQAgevXqJfLz83XmHz9+XHvBYeoEpjlhPZpMlVbZZColJUW4ubkJAGLOnDl68//++29tz4uGvlTNYU5Cl5eXpz1pDBo0SO/i/fz588LBwUEAEPPnzy9zPT4+PiI6Olpn/qJFi6o1mXr88ce1yx0/flw7XfM5NmvWTK8tZWZmio4dOwoAYuDAgXqJ4s2bN7V1btiwQW+dd+7cETKZTAAQMplM74QthBCbNm0SAERiYqLOdJVKJfr166dd96P7/ObNm9ok+6233jK4zZpta9q0qQgICBD37t3TmT9o0KByJVPmHDuai3BT7V6TyBk6f5Te54bOH0IIMW/ePAFAODk5iY4dO+pt14IFCwQA4eDgYPTiuypjaNOmjd557KWXXtI5pmbOnCkA6CXMQggRGRmpTahOnjxpcH3l6c2vMtuWkpIiXFxcBAAxduxYUVJSojN/y5Yt2gvfqkimcnJytG3GyclJr5fZqVOn6nxnubq6ilmzZokjR44IlUplcj88qvQ+/Pbbb0VGRkaZf5MmTSpzG95//31tezOlV69eAjCc5F+8eFHY2toaPR7NvaDWnA8tLCz0bpiqVCrxwgsvaM8JxhK/li1bCgCiRYsWYuLEiTr7OScnR7i4uOgkU7Xh+1jj7t272mW/++47k8saY853oubc3KxZMzF69GidfaRWq7W9VD7xxBMVikGjutrslStXtDdBDV1brFy5Unsdtn//foN1VOb6pqSkRLRo0UIAEL///rvefM21jaHrq/L05qc5Tzs4OIjz58/rzCssLBSDBg0SAERAQIBe23t0O5s1aya+/vprnXn3798XjRs3FgDEggULTMZisO5yl6BaISoqSntx/uhfly5dxLx588T169dN1lH6ADly5IjBZW7fvi0sLCzKTKYMXXgrlUrtU4offvhBb/61a9e0dy1Wr15tcP1XrlzRruPnn3/Wmff5559r5xm7c6W5yyZ1MvX8888LAKJ169Z6FzUaEyZMEMDDO3qPXuybw5wvDs1THQsLC6PdE2tOWsaWKb2ed999V2/+hQsXxJQpU0RGRkaF4zd2Yv3zzz+1y5T+cjt48KB2+tq1aw2WLf1ltm7dOr35Xbp0EQDExIkT9eb9+OOPwtraWpvwGmrPkydPFp06ddKbvmrVKu2XWVxcnMHYvv/+e+0+N3TXt/TF7I4dO/Tmb9682eBnYUxVHDv79u3Tzjf2Jf3XX39plzF0Z1fT1oydAxITE7Xzd+3aVe0xfPvttwbXUfqCc+bMmaJ9+/YG1yXEw3YAQDz33HMG55ubTFV222bMmCEACCsrK3H79m2D5UeOHFllyZSm63NjFyO5ubniySefNPid1aRJE/Hiiy+K3bt3m5VYld6HFfkzZvTo0QKAaNOmjdFlHjx4oK3n0qVLBpd59tlnK5VMZWVlCScnJwFAvPjii0bjcHZ2FgDE1KlTDS6jSaYUCoXB8/GCBQu0w6bUlu9jDbVarY3n7bffNrmsMeVJpgAY/L5bu3at9vxdVU9Tq7LNap4G+/j4GL220Gyjj4+PweOrMtc3Fy5c0M7LyckxWD4kJKRSyVRcXJy2LRi7yRsXF6f9fjaWDGnW1bp1a4P74cUXXxQARM+ePY3GYgyTqTosIyNDvP3228LR0dHgwSeTycTYsWONPq3q0aOHAB4+1jRlwIAB4vnnn9ebXvoAe/TphIbmKcg777yjN++9997TXkBmZWUZXb+3t7cAIEaOHGmw7latWhktW/oiW6pk6v79+8LKykoAEO+//77RdaxevVpbx+nTp40uZ0xZXxxqtVo0bdpUAKbHcLl27Zq2ng8++MDkeh59LakySte7bds2nTt0V65cEf/+97+1d+Datm2rc4E4fvx4ATx8HSM3N9foOjR30IKDg/Xmae7Kuri46N11HTFihBg2bJj2jvTw4cN15hcXF4tGjRqJ2bNn69WrOc6CgoKMxnXjxg3tthu6261po3Z2dnqxVURVHDuaV0jc3d2NJv9KpVJYWloKwPDrvqUTGWPJt+a1qf/+97/VHsOdO3cM1lHavXv3RHp6utH5X3/9tQCMv3ZpbjJVmW0rLi7WXoz379/f6Do0F4plXcyUTqZKH5epqani5MmT2qd3AMSoUaOMXtSp1Wqxfv16ERAQYPSisV27dmU+nS+9D99//32xd+/eMv80r2yZujA19Sqvxv3797X1GLqpIsTDC7vSrzmWZk4y8d1332mX27t3r9HlNIm7tbW1wVeTNMnUkCFDjNahUVu+j0vTvAI9YcKEMpc1pDzJVOnXMks7efKkto6LFy9WKA4hqqfN/vPPP9r5n3zyidF1//TTT9rl/vrrL735lbm+OXv2rHaeoRteQghx6dIlg9c05iZTmifGAEw+JNC8utq0aVOD50xNHTNnzjRY/osvvhDAw6fm5WUJqrOaNGmCr7/+GmFhYdi5cye2bduGv/76Cw8ePAAACCGwZcsWHDp0CAcOHNDphCIrKwtnz54FAHTv3t3keswZn6hdu3YGp7u4uGjX96gDBw4AALy8vFBUVIS7d+8arMPd3R03b97U6Qjj/v37iImJAQCTo8h36NChzNir27Fjx7Q/jGzdurXR7XRwcND+f3R0NAIDA6s0jn/++QdpaWkAYLLudu3awcnJCdnZ2drPyJj27dtXaYwaxjo6cHZ2xptvvokFCxZo2xbwv7bk7+8Pe3t7o/V2794dt2/fxpkzZ5CTkwNHR0ftvFGjRmHRokV48OABjhw5ov0Ben5+Pvbt24evv/4amZmZOHHiBPbv34+8vDztuo4ePYrMzEyMGjVKZ32ljzNfX1+jn71CodD+v6kOX9q1awdLy8qdtqvq2NF00OHv76/TW9ujGjdujLS0NJPb5eLigiZNmhidV1BQYPAcUpUxODs7o1mzZkbna7i6uur8u7CwEHl5edrOTaysrAA87MCmMiqzbZcuXUJ2djaAqj8/urm5GZzesmVLvP3225g1a5Z2vKlHyWQyPP/883j++ecRHR2NLVu2YPv27dr2CADXr1/HmDFjEBYWhtmzZ5cZT0BAAAYNGlTmchs2bChzGU2HDsbGbgQedqbRvn17xMTE4K233sKNGzfw2muv6fyYvm3btpUaikLTCQZg+lwdGBiIjRs3oqioCFFRURg+fLjB5cw5T9fG72PN52Coo42qVtY1DGD4OqYiqqrNlqedaBw4cADDhg0zI0rz+Pv7w9XVFffv38eECRPw4Ycf4qWXXkLTpk21y3Ts2LFS69Bsp7Ozs3acSUMCAwMRFRWFtLQ0xMTEICAgwOByFbleLQuTqXrA1tYW48ePx/jx41FSUoI9e/bgxx9/xI4dOyCEwL179zBlyhTtRR3wsMcfTS97VTGmR+mL0tI0J8PSPbloaLrOTUxMNPoFXVpGRgaEEJDJZDq905i6ACrdi5RUSncR/Prrr+P1118vs4wm6amuOFq0aGFy2ebNmyM7O7vMrscfHc+qqixZsgRdunTR/tvKygpNmjSBv7+/To9hwMMTn+aLv6zt0sxXqVRITEzUucEQFBQEDw8PpKamYseOHdpkas+ePSgsLMSoUaOQmZmJTz75BIWFhdizZw/GjBkDANixYwfc3d0RHByss77Sx9nPP/+Mn3/+ucxtN/XZV8X+ropjp/Q+P3z4sFnHr6ntMnb+AIyfQ6o6hvLs2yNHjuCbb77B4cOHjXb1XVavZ6ZUdttK96RZ1efHvXv36vxb02Nb6WTCHEFBQQgKCsLixYsRGxuLdevW4ccff0RmZiYA4NNPP8WwYcO0Y1fVBE0PfJqE2JgVK1ZozwdfffUVvvrqKwQFBWHMmDGYMGFCpcf005x3Nb33GVP6fGfqXG1O266N38eaz6GgoKBc5SqirGsYwPB1jJTM/U43t51UhK2tLVasWIFnn30WOTk5mDNnDubOnYu+fftizJgx2l4hK0MTc1n1PLqdxpKpsj7r8vYeCTCZqncsLS0xfPhwDB8+HAcPHsSIESOQn5+Pc+fO4dKlS9qLx9zcXG0ZGxubSq/X2J1IUzQx+Pj44IcffjCrjObkXfpOlan4H73wlkLpfb1w4UL07t27zDIV6ea6PHGU9Zlr5mvubhtTkc/dHIGBgUa7Rn1URbYL0N82mUyGESNGYNWqVdixYwe+/vprAMAff/yBbt26wdPTE56enmjZsiWSkpLwxx9/6CRTI0eO1NsfpWMbN24cZsyYUeb2ODs7G51XFfu7Ko6d0tsVEhKC+fPnl7leU3f7K3P+qOkYPv/8c3z88ccAgGHDhmH06NHw9vbWPjHcs2cPvvrqK7PqMqay21ad50dz7qiXl7+/PxYvXoz33nsPY8aMwZEjR6BWq7Fhw4YaTaY0+8pQF8ulhYSE4OLFi1i2bBnWrl2L+/fvIzo6GtHR0Zg9ezaGDx+O//73vxVOqjSff2XOZ6WZ07Zr4/ex5nOwtbUtV7mKqK7vsupk7nefue2kosaOHYvz589jyZIl2LRpE/Ly8nDo0CEcOnQI7777LiZNmoSvv/4a7u7uFapfiuOhvJhM1WP9+/fHW2+9hcWLFwN4OK6AJpkqnZmXHg+jJjk6OiIzMxMWFhbl/oIu/UqcqfgrcofhUZUdDLf0vm7Xrl21XIyUN46yPnPNfFMX9rVFRbYLMLxto0aNwqpVqxAXF4fY2Fj4+vpi586deO2117TLjBw5Et999x3+/PNPqNVqXL9+HdevX8eXX35pMrYmTZpI9tmXVhXHTuntcnBwkGS7pIjh/Pnz2lfP3njjDXz77bd6yyQnJ1d6PZXdtpo8P1alxo0bY+XKlfDz8wPw8DurJmle2y0qKipzWU9PTyxduhSff/459uzZg02bNmHLli0oKCjAX3/9hVOnTuHy5cs6rzuZS/P5V/Z8Vt511rbvY83nYOrV7YbM3O++yrYTc66B/Pz8sGLFCnzzzTfYuXMnNm3ahJ07d6KkpAQ///wzoqOjceHChQrdvNe0zZo8Hsqr7qXihCVLlsDDw8OsE36vXr20/695px94+NsdTXZ+586dqg/SDJp3X5OTkw0OpmpKy5YttQPIpaSkGF1O88qIKZo7ysYe4Vf2Tk7pd3xv3rxZqbqqKo6yPnPN/Mq+rlITnJyctK+llLVdt2/fBvDwDmnLli315g8aNEj7+6WdO3fi+PHjyMjI0PktlOb/MzIycOLECezYsQMKhQKDBw/Wq6/0cSblZ19aVRw7pfe5VNslRQy///679lz15ptvVtt6KrttpZ9sV/b8WBVu3boFDw8PhIeHl7msr6+v9nWw8n4vVJbmNaHy7BcrKyuMGDECGzZswM2bN/Hss88CeDiIqubpdnlpztUFBQXa30AbojmfAZU/V9eW72MNIYT2tytlvb7dUJn7nV5WO9E8MayKayA7OztMmDABW7duRXx8vPZ78dq1a2YPwP4ozXaa+/0O1Py1C5OpOig3NxdpaWm4ceNGmcuWvqPg5eWl/X9HR0f06NEDAHDmzBmTdbz66quYMGFClT/B0vwmJS8vD5cvXza63IkTJ2BpaalzQduoUSPt+7Dnzp0zWvbKlStlxqF5n9zYl9a1a9fKrMOUPn36aF/BOXnypMllhw8fDktLS5M/lK+o9u3bw8PDA4DpzzwuLk578tR8RrWdJs7Y2Fjk5+cbXU7zu8EePXoYfG/a3t4eAwYMAPDw1b0//vgDzZs31/kBb//+/bV3Yv/44w/88ccfGDBggMG7p6WPs+joaJN3+L744gtYWlpiyZIlZW1upVTVsaPZ59euXTN5kbR582ZYWlpi1qxZFYjWtJqOIT09Xfv/xi7wSr96Y4jmorMsldm2jh07au/MVvb8WBVUKhXS0tLwzz//mLW85mK+9HdWTdD8ML305/yoBw8eYM6cOQa/F5o0aYI1a9Zof9th6nvNlNLnXVPnas35zNraGn369KnQuh5dp9Tfxxr379/XPsky1elAQ1bedvJoGY3KXAMlJCRgzpw5Bn876u3tjd9++03727dH21V5z4VZWVkmf/Ol2U4PDw/4+/ubVXdVYTJVh23evLnMZXbv3g3g4esTQUFBOvNmzpwJ4OGdqCNHjhgsf+HCBfz000+4c+dOlfy2qrRXX31Ve0dk7dq1RpdbtWoVVCoVJk2apDN9ypQpAB7+oN5Y8hEREVFmHL6+vgCAGzduGLwzs3PnzjLrMMXFxUV7t3L37t1GfwSflJSEPXv2oG3bttoL8Kokk8m0r6sdP34cCQkJBpfbuHEjgId3q1555ZUqj6M6aDr1UCqVRj/zw4cPa+9cadq+IZqLhGPHjmHz5s0YOXKkzklfoVBgyJAhAIBffvkFUVFRer34laZZ1927d/Hnn38aXKakpATr1q2DTCbD+PHjjdZVVari2NHsc5VKZbLXqZUrVxo8fqtCTcdQ+sf1xi4wSl+4GGJnZ6f9/9K/zVmyZAn8/f1x/vx5AJXbNktLS+05JyoqyugdXXPOj1UpIiKizFe9Tpw4ob2oGzp0aA1E9T+amya5ublGOxZ58OABwsLC9Dri0NB0lgPo9gSnofn8S3/2hw8fhr+/P3766ScAwLPPPqtNhjXn40dlZ2drv5uee+65Sr/WVFu+jzVKXzQ/eu1CD7Vv316baGzevNnosaVpQz4+PtrvrtI010BXr17Vm6dWq7Fr1y6jMSQlJSEsLAynTp0yON/Z2Vnb5h89HoydCzdt2gR/f3/t92XptmnseEhISMCJEycAPDx3mpuoVZlyd6ZOktOMi2JjY2NwzACNjRs3ascgWb58ud58lUqlHd27c+fOemNL5OXlacfdMDR+QHnGcCg96GVpmkFkra2txb59+/Tm//bbb0Imk4nu3bubHHG9d+/eeqNenzp1Sjg4OJQ5hsKNGzeETCYTAMQvv/yiMy8+Pl506NChUuMwCCFEamqqdoynESNGiMLCQp352dnZ2jESIiIiDNZRFnM+j/z8fO14IEOGDBFKpVJn/sWLF7Xjlhkb+M6c9VQ2/rJGQzdEM+BeixYtxK1bt3TmZWVlic6dOwsAYuDAgSYHRb5586bOuDeGBsktHSsAgwPtapQ+zlq2bCmSk5P15r/11lsCgHjzzTcN1mHOWGjlYc6xoxlPxlS71+xzFxcXgwOYLl26VAAQTz31lMHymnOZsTGZhPjfWDnz5s2TLAaN8+fPa88Vw4cP1zsnRUVFac+5xo6Pe/fuaeuIjIzUTh82bJgAoDN+WmW2LSUlRbi4uAgAYty4cXpjP23fvl07/l1Zx5w5g/aaUno8mZdeekkUFRUZXC4pKUk7BlVwcLDRAXxLj9ljznhF5m5Denq69rMxNlCyZlvatGljcGyn6OhobRswNF6WZnDwOXPmaKdpxrfZuHGjdppmDDBLS0uxZ88enTpUKpWYOnWqdkydtLQ0g7GWdew8qjZ8H2toBjt3cXExOm5ZWariGsXcsZDKUl1t9sqVK9rxFw19zpp9IJfLjcav+dybNm2qdx24dOlS0bx5c6NxaLarV69eetc1Qgixbds2ATwc9/TMmTM689RqtfYctXLlSu301157TQC641hqYnR0dBQXLlzQqUepVGrH5AoICNBrexqVvY4zhR1Q1EHNmzeHlZUVCgsLMXz4cPTr1w+DBg1C8+bNIYTArVu3sGfPHhw/fhwWFhaYN2+ewTvxcrkcW7ZswejRo3Hw4EF06tQJ06ZNQ4sWLZCUlIR169bh1q1bWLhwoc4dwosXL+LixYs4fvy4dprmzumYMWNgb2+PvXv3Ii0tTfsU5saNG9iwYQMcHBx0xhCaO3cusrOz8fXXX2PIkCGYPHkyQkJCkJ+fj8OHD2Pbtm1o164dtmzZoje+jp2dnbYL6+PHj6N79+6YOnUqGjdujHPnzmHNmjX46quvtNt+/PhxWFpaomXLlujbt6+2ntatW+P111/Hd999h2nTpuHMmTNo3749EhISsG7dOqxZswYDBw7UqaNNmzbo06cPjh8/jvj4eIP7ok+fPmjTpg0AoGnTpoiMjMTw4cPx559/onPnznj++efh4eGB+Ph4rFu3DqmpqQgLC8PYsWPL1R5MxVD6MwEe9oq0Z88eDBs2DHv27EG3bt3wwgsvoEmTJrh06RJWrlyJvLw8vP322/j000911mPqc3/0cy2Pbdu2ITc3V6fevXv3an/IP3jwYLN+xP1///d/KCgowObNm9G1a1e8/PLLaNeuHZKTk7Fq1SrcvHkT/fv3R0REhMm7Vl5eXujatSvOnz8PW1tb7Wdf2ogRIyCXy6FWq9G1a1eTryMZO878/f2RmpqKbdu24cyZM3jqqaf0OrHQHEeaV3rT0tK0+7xt27Zm9QxpSFnHzsaNG/HLL7/gySefNFlP6X0eHByMF198Ed26dUNmZib+/vtv7N+/H7169dK7061psxcvXgTw8NUizXY999xzAP7XLjQ9hV28eBEbNmxA06ZNdX6fVh0xPLoOjS5dumDu3LlYsGAB/vrrL3Tv3h0TJ07UOee0adNG+9Tq0fMi8HCcqhEjRmDnzp1477338Oqrr+LKlSvYvXs3nnzySZ3ufyu6bcDDV122bt2KkSNHIiIiAr1798bkyZNhb2+vfeq6ZMkSvPXWWwD+d8wFBASge/fuyMvLw9atWwFA55Xy0ucWzWdVFltbW7i7uyM9PR0rV67E33//jbFjx8Lf3x+2trba3vC2b9+O/Px89OnTB1u3btXrdUtzPJQel0pzTjZ0DiprGzp37ozOnTtrp7u5uWHAgAHYt28fDhw4YPCVKGtraygUCty4cQM+Pj6YMmUK2rVrB5VKhUuXLmHDhg0oKSnBG2+8YfCc+Pzzz+PChQv44Ycf0KhRIxQVFeHzzz+Hu7s7RowYoV1uypQpuHfvHj744AMMHz4cU6ZMQa9evZCbm4tffvkFJ0+ehJeXF/766y+9XtI02/fosQPofi89qjZ8H2toxlkbP358uXsBNOd7WXN+efQaRXPsa9pO6fG2NMfIo+3GlOpus+3bt8eff/6JMWPGYMGCBTh+/DieeuopWFpaYv/+/fj1119hY2ODtWvXGu0h980338TKlSuRnJyMkJAQTJs2DY6Ojti/fz+uXbuGTz75RPu5aeIYNGgQPDw8YGdnBwsLC5w4cQLt2rXDc889h1atWqGwsBDR0dH49ddfIZPJ8OWXX+qNaSqTyfDcc89h+fLlWLRoEQoLC5GSkoJVq1YhICAAPXv21C47d+5cZGVlYdmyZejTpw+mT5+Ozp074+7du1i/fj2uXLmCjh07YteuXTq9P5ben4/uf82+vHHjBqKiogy2F3OvP/hkqo66f/+++Pnnn8Wrr74qevXqJZo2bSoUCoWwsrISjRs3Fj179hTvv/++iImJKbMutVotNmzYIIYMGSLc3NyEpaWlcHd3F08//bTBu3OaO7mG/hISEoQQ/7vb8+ifsbu/x44dE6GhocLT01NYW1sLR0dHERwcLL744guRl5dnMv60tDTxxhtvCG9vb2FtbS3c3d3FiBEjtHfWHo1h3LhxenWoVCrx1VdfiYCAAKFQKESTJk3EmDFjxPnz5w3W8eyzzwohdO8cPfpn6O5HTk6OWLx4sQgKChJOTk7CyspKeHp6itDQUHH8+HGT22mMqRhKfyalKZVKsXz5ctG3b1/RqFEjYW1tLVq0aCEmTZokjh49anA9pj53c+7qG6O5e2rsr7x3A3fs2CGefvpp0bRpU2FlZSWaNGkiBg8eLMLDw00+kSrt008/FQDEqFGjjC7Tu3dvAUB8+umnZtVp6Dhr0qSJGDJkiM4d6dKMHUcwcSe1PB49dpo1ayYmTpwozp8/L9RqtXZd4eHhJuvZuXOnGD16tPDw8BCWlpbCxcVF9O3bV/zwww96d7CFMN1mNYy1C2NP56oyhrKeAO7YsUMMHjxYuLi4aM+Xw4cPFzt27NB7amnoGLx3756YOnWqto22bt1avPnmm+LBgwdVsm2lxcfHiylTpohmzZppP+MJEyaIs2fP6tx11/y9++67QghhcJ6xz8ocJSUl4uDBg+LTTz8VTz75pGjTpo2wt7cXcrlcODg4CF9fXxEaGiq2bt1q9ImUqePB0DmorG0wdCd/69atAoDw8/Mzui0ZGRni22+/FSNHjhTe3t5CoVAIa2tr4enpKcaNGyf+/vtvo2VVKpX47LPPRNu2bYWVlZXw8PAQY8aMEdeuXTO4/KVLl8T06dNFq1athEKhEE5OTqJHjx7i3//+t8jJyTFYxtQ2m/NUROrv47y8POHs7CxkMpk4d+5cmfE+ypzv5bLOL6bajrlP+oSomTYrxMM2OXv2bNGpUydhb28vbG1tha+vr5g1a5ZITEwsM86bN2+KF154QTRt2lRYW1uLtm3bik8++UTk5eUZPKft3btXp+wXX3whBg0apD3PKBQK0bp1a/H888+LEydOGF1vQUGBePvtt4Wnp6ewsrISXl5eYsqUKeLOnTsGlz969KgIDQ0VLVq0ENbW1qJRo0biscceE8uXL9d706as/anZl4a2r7zXHzIhari7HCIiqvWys7O1v8P4888/MXz4cIkjIqoZ/fr1w+HDhxEREVHuNwWo8r7++mu8++67mDJlisnfbxHVFkymiIgaoAsXLsDT0xONGzc2OP/MmTPajlCSkpLg7e1dk+ERSeb69evo2bMnHBwccObMGW039VT9rl69iuDgYDRp0gSnTp0yen4iqk3Ymx8RUQP05JNPIiwszOj8P/74AwDQtWtXJlLUoLRr1w7bt29HdnY2hg0bZrQHVqpa165dw7Bhw+Do6Ig///yTiRTVGUymiIgaqLVr1xocr+7ixYtYtmwZAGDRokU1HRaR5Pr27Yvjx49DCIH/+7//kzqcBmHx4sVo27YtoqOja3ycIKLK4Gt+REQNULNmzZCamgpnZ2e88MILaN++PeRyOU6fPo0NGzZAqVRiyZIleOedd6QOlUgyarUat27dQsuWLaUOpd5LSEhA69atpQ6DqNyYTBERNUBJSUnYsGED9u/fj5iYGNy9exdyuRzNmjVDv3798Oabb+p1ZUtERES6mEwRERERERFVAAftbYDUajXu3LkDR0dHk4OXEhERERHVFUII5OTkoHnz5noDf1cXJlMN0J07d+Dl5SV1GEREREREVe7WrVvw9PSskXUxmWqAHB0dATxsaE5OTjW6brVajYyMDLi5udXYHQOqX9iGqLLYhqiy2IaostiGqkd2dja8vLy017o1gclUA6R5tc/JyUmSZKqwsBBOTk48eVCFsA1RZbENUWWxDVFlsQ1Vr5r8GQs/PSIiIiIiogpgMkVERERERFQBTKaIiIiIiIgqgMkUERERERFRBTCZIiIiIiIiqgAmU0RERERERBXAZIqIiIiIiKgCmEwRERERERFVAJMpIiIiIiKiCmAyRUREREREVAFMpoiIiIiIiCqAyRQREREREVEFMJkiIiIiIiKqACZTRERERETVIF9ZgtQH+SgqUUkdClUTS6kDICIiIiKqT9RC4K+zN3E0JhW21hbo2qoxng5uLXVYVA34ZIqIiIiIqIpcT8nCnE3REAIImxyMp4JaQS2kjoqqC59MERERERFVUl5hMdYfuoa8whK8/1QXNHJQSB0S1QAmU0REREREFSSEwMF/7mD3uVuY3LcdurRqLHVIVIOYTBERERERVcCtu7lYGRmD9p6NsGhyMKws+AuahobJFBERERFROSiLVfjlaBxu3cvFa0M7wMPFTuqQSCJMpoiIiIiIzHTqejp+P3EDY4JbY8oTflKHQxJjMkVEREREVIb0rAKsjIyBh4sdFk7sARtrXkYTkykiIiIiIqNKVGpsPZWAi0n38dJAf7R0c5Q6JKpFmEwRERERERlw+eZ9hB++hsGdPbFwYg/IZLIK1cNhpuovJlNERERERKU8yFNizf6rsLKUY864QDjaWkkdEtVSTKaIiIiIiACohcDuc7dwJCYFU/r7wb+FS6XrrNizLKormEwRERERUYMXn5qF1fuvIridOxaFBsNCzjSIysZkioiIiIgarDxlMcIPXUdOQRHefaozXB1spA6J6hAmU0RERETU4AghcPhKCv46exOTHvNBt9ZNpA6J6iAmU0RERETUoNy+l4cVkTHwbe6Mz0KDYG1pIXVIVEcxmSIiIiKiBqGoRIXNx+KRkJ6DV4cEoFkjO6lDojqOyRQRERER1Xun4zPwa1Q8ng5qheceb1fhMaOISmMyRURERET11t3sQqyIjIGbkw0WTOwBW2te/lLVYWsiIiIionpHpVZj+6lEnEu4i+kD26OVu6N0wQgh3bqpWjGZIiIiIqJ65Z9b9xF+6DoGdGqOhZOCpH2lj28T1mtMpoiIiIioXsjOL8Lq/bGQy2WYPa4bnGytpQ6J6jkmU0RERERUp6mFwN4LyTj4zx280M8X7T0bSR0SNRBMpoiIiIiozrqRlo3V+2MR2MYNi0KDYCGXSx0SNSB1prXt3r0bgwcPhqurK+zt7dG9e3csX74carW6QvWlpKRgxowZ8Pb2hkKhgLe3N2bMmIE7d+6YLKdUKhEWFoYOHTrA1tYWbm5uGD16NE6ePGm0TExMDD7++GMEBQXByckJ1tbWaNGiBcaNG4d9+/aVGWtVbzsRERFRXZevLMGPe6/gt6h4vD2yM8b0bM1EimpcnWhxX3zxBYYNGwYbGxvs3bsX586dw+DBgzFr1iyMHj0aJSUl5arvypUr6NSpE7Zv345ly5YhNjYWy5Ytw7Zt29C5c2dcuXLFYLnc3Fz07dsX8+fPx7Rp03D58mVs2bIFaWlpCAkJwcaNG/XKbNiwAR06dMAPP/yASZMm4ciRI7h06RLCwsIQFRWFQYMG4cMPP6yxbSciIiKqy4QQOBKTggW/nkaPtm74cEw3NHa0kTosaqhELXf48GEBQAQEBIiioiKdeS+//LIAIBYtWmR2fcXFxcLf318AEMeOHdOZd/ToUQFAtG/fXhQXF+uVnT59ugAgwsLCdKZnZmYKd3d3oVAoRHx8vM68ZcuWCQDijz/+0Kvv/PnzwsLCQgAQe/bsqfZt18jKyhIARFZWVrnLVpZKpRIpKSlCpVLV+LqpfmAbospiG6LKYhuSzu17uWLB5mgRfuiaUBaXSB2OWc4lZIiI47rXh2xD1UOKa9xa/2Rq/vz5AIBZs2bByspKZ967774LAPjyyy9RUFBgVn2bNm1CbGwsevbsiT59+ujMCwkJQa9evRATE4PNmzfrzEtKSsKaNWugUCgwc+ZMnXkuLi6YNm0alEolFi9erLdOd3d3jBo1Sm96ly5d0LNnTwDAr7/+qje/qrediIiIqC4qKlFhw+HrWBkZg5cGtcdzj7eDtaWF1GER1e7X/DIyMnDw4EEAwMCBA/Xm+/n5wdPTE9nZ2di1a5dZdf72229G6wOAQYMGAYBeMhUREQG1Wo3AwEA4OzsbLRcREQGVSqWd/tprryE+Pt5oPJ6engCA+/fv60yvjm0nIiIiqmvO3MjAnE3RaOnmgE/HB6K5q73UIZUbh+ytv2p1MnX69Gmo1WpYWVmhbdu2Bpfx9/cHAERHR5tVp6ajCE05c+szt1xmZibi4uK00xUKBRwcHIzGk5KSAgDo1KmTzvTq2HYiIiKiuuJeTiG+2HoOp+MzMH9CD/Rt30zawXcrSMZRe+u1Wt01uuaJjpubG+RGemdp1qyZzrKm5ObmIj09HQDg4eFhsr7U1FTk5+fDzs5Op35j5UpPj4+Ph5+fX5nx3Lt3D6dOnYK1tTVefvllnXlVue1KpRJKpVL77+zsbACAWq2u8R4B1Wo1hBDsiZAqjG2IKottiCqLbah6qdRq7Dh9E2du3MW0J3zRuqkTANTZ/S2EfnthG6oeUuzPWp1MaS76bW1tjS6jSXaysrLMrs9UnZr6NHVq/l1WLBYWFlAoFFAqlWbFAgBLly6FUqnEF198gRYtWhiMtSq2ffHixViwYIHe9IyMDBQWFpoVa1VRq9XIysqCEMJokkhkCtsQVRbbEFUW21D1iUvLxZYzd9CrrStmPuEFuawQ6ek1e61S1TIzc5Cbk6+9oQ+wDVWXnJycGl9nrU6m6rOoqCh8+eWXGDt2LN5///1qXdfHH3+Md955R/vv7OxseHl5wc3NDU5OTtW67kep1WrIZDKTT9yITGEbospiG6LKYhuqejkFRVh78BrUauDTCcFwtrOWOqQqk1pggXtKOdzd3bXT2Iaqh41NzXeRX6uTKc2Fvqne6vLz8wHAYKcQxuozVaemvkfrLCsWlUqlfZWurFiuXLmCUaNGYdCgQdi0aZPB93+rctsVCgUUCoXedLlcLskBLJPJJFs31Q9sQ1RZbENUWWxDVUMIgb0Xk7Hv0m280M8XHbxcpQ6pyslkcm170Z3ONlTVpNiXtfrT03S8kJGRYfQdSE0HDsY6aSjNwcFBe1cgNTXVZH0eHh46r/xp6jdWrvR0U7HExMRg0KBBeOyxx7B9+3ZYWxu+81LV205ERERUmySm52DuL9HILSjGvycH18tEiuq/Wp1MBQYGQi6Xo7i42GgnC7GxsQCAoKAgs+oMDg7WKWdufeaWc3FxgY+Pj8Flzp8/j379+uHxxx9HRESEwadFGtWx7URERERSKygqwcrIGPxyLA5vjuiEsb3awIJPZ6iOqtUt193dHf369QMA7Nu3T2/+1atXkZycDEdHRwwdOtSsOsePH2+0PgCIjIzUWU5j3LhxkMvlOHPmjMEOHzTlxo4dCwsL/UHkTp48iSeeeAIjRozAzz//DEvL/71huXfvXkyZMkVn+erYdiIiIiKpCCFwLDYV8zafRpdWjfHRmG5wczLe0RZRXVCrkykAmDdvHgBg+fLlKCkp0Zm3dOlSAMD777+v80re2bNnERAQgPHjx+uVCQ0Nha+vL06ePImoqCideVFRUThx4gT8/PwQGhqqM69Vq1aYMmUKlEolvv/+e515Dx48wOrVq2FtbY3Zs2frbcOhQ4cwaNAghIaGYvXq1XrJ1u3bt3Ho0KEq2XYiIiKi2iY1Mx+Lfj+LG2nZ+GxSEIJ83MsuRFQXiDogLCxMABAjR44UZ86cEVevXhUffvihACCGDx8uiouLdZafOXOmwMPBpsXp06f16rt06ZJwdXUVHh4eIiIiQiQkJIiIiAjh4eEhXF1dxaVLlwzGkZ2dLQIDA4WlpaVYsmSJiI+PF0ePHhW9evUScrlcrF+/Xq/M/v37ha2trZDL5SIwMNDgX6tWrUTLli2rZNvNkZWVJQCIrKyscpetLJVKJVJSUoRKparxdVP9wDZElcU2RJXFNmQ+ZXGJ+PnwNTHvl2iRfDdX6nAkcT7hrvgtKl5nGttQ9ZDiGrdW9+anMXv2bHTr1g1Lly7FgAEDUFxcDF9fX3zzzTeYOXOm3pOe8ePHY/PmzQgICECHDh306uvYsSMuXryIBQsW4K233kJ6ejrc3d0xatQozJs3T2/MJw1HR0ccPXoUX331FVauXIlPPvkE9vb2CAkJwdGjR9G7d2+9Mtu3b9f2yHfmzBmj29iyZcsq2XYiIiKi2uB8wl1sOhqH4d29EfqYj8HeixuCBrrZDYZMCCGkDoJqVnZ2NpydnZGVlSXJOFOa5JVdgVJFsA1RZbENUWWxDZl2P7cQKyNj4Wxnjef6tYO9wkrqkCR1Mekert3JwjO922insQ1VDymucevEkykiIiIiqt1UaoGdZ5Jw6no6pg3wQ1uPsscAJarrmEwRERERUaVcvfMAaw9cRd/2zfBZaBDkfLeNGggmU0RERERUITkFxVh38CqKS9T4cHRXuNgbH0OTqD5iMkVERERE5SKEwL5Lt7H3YjKef9wXHb1dpQ6JSBJMpoiIiIjIbEkZOVi5LxadW7oiLDQYlhbsQIEaLiZTRERERFSmwqISbDwSh7SsAswa1hHuzrZSh0QkOSZTRERERGTS8atp2HoqAc/0aoNp7dylDqfOEeBIRPUVkykiIiIiMij1QT5WRsbAq7EDPpsUBIWVhdQh1Tns17B+YzJFRERERDqKVWpsOXEDV5If4KWB/vBq4iB1SES1EpMpIiIiItK6kHgPG49cx9BuXpjQpy1kHDOKyCgmU0RERESEzFwlVu2Lhb2NJeaOD4S9jZXUIRHVekymiIiIiBowlVrgr7M3cfxaGqY+4Yd2zZylDomozmAyRURERNRAXU/Jwpr9sejj74HPJgXBQs5X+ojKg8kUERERUQOTW1iMdQevorBIhQ9Gd4WLvULqkIjqJCZTRERERA2EEAIHLt/B3xdu4dm+7dC5ZWOpQyKq05hMERERETUAN+/mYlVkDAK8XLEoNBhWFnKpQ2o4OGZvvcVkioiIiKgeKyxWYdOR67iTmY/Xh3ZAUxc7qUMiqjeYTBERERHVUyeupWHLyQSM7dkaUwf4Sx1Ow8Rxuuo1JlNERERE9Ux6VgFWRMagWSM7LJwUBBsrC6lDIqqXmEwRERER1RMlKjW2nEzA5Zv38dJAf3i7OUodElG9xmSKiIiIqB64lHQPG45cx5NdvLBgYg/I+HoZUbVjMkVERERUhz3IU2L1/lgorCzw6TOBcLCxkjokogaDyRQRERFRHaQWArvO3sSx2FS8+IQffJu7SB0SUYPDZIqIiIiojolLycLqA1fR29cdn4UGw0LOV/qIpMBkioiIiKiOyFMWY/3Ba8grLMF7T3WGq4ON1CERNWhMpoiIiIhqOSEEDv2Tgl3nbiK0rw+6tmoidUhUDkLqAKjaMJkiIiIiqsWS7+ViRWQs2rdwwaLJwbCykEsdEpUDX8Cs35hMEREREdVCymIVfjkWh1t3c/HakAB4NLKTOiQiegSTKSIiIqJaJjouHb8dv4HRwa0wpb+f1OEQkRFMpoiIiIhqiYzsAqyMjIW7sy0WTuwBG2teqhHVZjxCiYiIiCRWolJj26lEXEi6h+kD/NHK3VHqkIjIDEymiIiIiCT0z637WH/oGgZ18sTCiT0gk7HLAqK6gskUERERkQSy8ouwen8sLOUyzBkXCEdbK6lDIqJyYjJFREREVIPUQuDv87dw+EoKpvT3hX+LRlKHREQVxGSKiIiIqIbEp2Zj9f5YBPu4YVFoMCzkfKWvIRActbfeYjJFREREVM3ylSUIP3QNWflFeGdUZzR2tJE6JCKqAkymiIiIiKqJEAJHYlLx55kkTAzxQfc2TaQOiWoY+xOp35hMEREREVWD2/fzsDIyBu2aOeOz0CBYW1pIHRIRVTEmU0RERERVqKhEhV+PxeNGeg5eGRyAZo3spA6JiKoJkykiIiKiKnImPgObo+LxVI+WePbxdhwziqieYzJFREREVEl3swuxcl8MGjvaYMHEHrC15iUWUUPAI52IiIioglRqNbZHJ+HcjQxMG+CP1k2dpA6JiGoQkykiIiKiCohJzkT44Tg80bE5FkwKgpyv9BE1OEymiIiIiMohO78Ia44kwc7WFrPHdoOTnbXUIRGRRJhMEREREZlBLQT2XkjGgcu3MbJTE/Tp1AZyuVzqsKhOEFIHQNWEZwAiIiKiMiSkZWPeL9HIV5bgs0k94NPUQeqQiKgW4JMpIiIiIiMKikqw4fB13M8pxFsjOqOJkw3UarXUYRFRLcFkioiIiOgRQggcjU3FjtNJmNinLQLbukkdEhHVQkymiIiIiEpJyczHisgYtGnqhEWhQbC2tJA6JCKqpZhMEREREQEoKlHht6gbiEvNwkuD2qOFq73UIRFRLcdkioiIiBq8szfu4pdjcRgV2BKT+/pAxjGjiMgMTKaIiIiowbqXU4hV+2LhbG+N+RN6wE7BSyMiMh/PGERERNTgqNRq7DidhOi4DEwb4I+2Hk5Sh0REdRCTKSIiImpQYm9nYt3Ba+gX0AyfhQZBzlf6qJoJjtlbbzGZIiIiogYhp6AYaw/EQqUW+GhMNzjbWUsdEhHVcUymiIiIqF4TQiDy4m1EXkrGC/180cHLVeqQqAFhZyb1G5MpIiIiqrcS03Owal8MurZugrDQYFhayKUOiYjqESZTREREVO8UFpVgw+HryMguxJsjOsHNyVbqkIioHmIyRURERPWGEALHr6ZhW3QixvdugyAfd6lDIqJ6jMkUERER1QupmflYERmDlm6O+GxSEBRWFlKHRET1HJMpIiIiqtOKVWr8fvwGrt5+gJcG+cOzsYPUIRFRA8FkioiIiOqs8wl3seloHIZ198akkLbsOY2IahS7tKlhO3bsQPPmzXmyJyIiqoT7uYX4avt5nLiejrkTAtG/A79biajm1Zlkavfu3Rg8eDBcXV1hb2+P7t27Y/ny5VCr1RWqLyUlBTNmzIC3tzcUCgW8vb0xY8YM3Llzx2Q5pVKJsLAwdOjQAba2tnBzc8Po0aNx8uRJk+UyMzPxwgsv4KmnnkJKSopZMa5duxYymczk3/nz583dZCIiojpPpRb4IzoRS/64iDHBrTFjSADsFVZSh0VkkpA6AKo2dSKZ+uKLLzBs2DDY2Nhg7969OHfuHAYPHoxZs2Zh9OjRKCkpKVd9V65cQadOnbB9+3YsW7YMsbGxWLZsGbZt24bOnTvjypUrBsvl5uaib9++mD9/PqZNm4bLly9jy5YtSEtLQ0hICDZu3Giw3KlTp9ChQwecP38ev//+e7litbW1hZ+fn9E/GxubctVHRERUV1278wBzNp2CpYUci0KD4NPMWeqQiMrE56X1W63/zdSRI0fw0UcfISAgAFu2bIGV1cO7T1988QUyMzOxYsUKfPHFF/jkk0/Mqq+kpATjxo3DvXv3cOzYMfTp0wcA0Lp1a3h4eOCxxx7DM888g4sXL8LSUnf3/Otf/0J0dDTCwsLw7rvvAgDatm2LXbt2wc/PD9OmTUOvXr3Qpk0bnXKnT5/Gyy+/jDlz5uD27dvl2v7g4GAcPHiwXGWIiIjqk9zCYqw9cBXFJWp8OLorXOwVUodERASgDjyZmj9/PgBg1qxZ2kRKQ5PQfPnllygoKDCrvk2bNiE2NhY9e/bUJlIaISEh6NWrF2JiYrB582adeUlJSVizZg0UCgVmzpypM8/FxQXTpk2DUqnE4sWL9db56quvYsGCBXrxExERkXFCCOy7mIzPfj+Dfh2a4+1RnZlIEVGtUquTqYyMDO1TmYEDB+rN9/Pzg6enJ7Kzs7Fr1y6z6vztt9+M1gcAgwYNAgC9ZCoiIgJqtRqBgYFwdtZ/rUBTLiIiAiqVSmeehQXHuSAiIiqPmxk5mLf5NO7nKREWGoxO3q5Sh0REpKdWJ1OnT5+GWq2GlZUV2rZta3AZf39/AEB0dLRZdWo6itCUM7c+c8tlZmYiLi7OrFjMkZOTg4ULF6JHjx5wd3dHixYtMHDgQPzf//0fioqKqmw9REREtUFhsQqr98diw+HreGNYR4zv3RaWFrX6coWIGrBa/Zup+Ph4AICbmxvkcsMn0mbNmuksa0pubi7S09MBAB4eHibrS01NRX5+Puzs7HTqN1au9PT4+Hj4+fmVGY85zp49C3d3dyxYsACtW7dGSkoKvv/+e7z22mtYvXo1/v77bzRq1MhkHUqlEkqlUvvv7OxsAIBara5wb4gVpVarIYSo8fVS/cE2RJXFNlR7nbiWhm3RSRgb3Aov9vcFgFr5ObENUXmohX57YRuqHlLsz1qdTGku+m1tbY0uo0l2srKyzK7PVJ2a+jR1av5dViwWFhZQKBRQKpVmxWKOgIAALFmyRPvbMM20gQMH4qmnnsKOHTswbdo0bN261WQ9ixcvxoIFC/SmZ2RkoLCwsEpiNZdarUZWVhaEEEYTZCJT2IaostiGap+7OUr8cvI2PJwVmPmENxSW0N78rI3Yhqg8Mu/nIq/UDX2Abai65OTk1Pg6a3Uy1dAFBwcjODjY4Lx58+Zhx44d2LZtG65fv4527doZrefjjz/GO++8o/13dnY2vLy84ObmBicnpyqP2xS1Wg2ZTGbyaSORKWxDVFlsQ7VHsUqNrScTEJP8AK882RGejR2kDsksbENUHveKrWCfLeDu7q6dxjZUPaQYMqhWJ1OaC31TPfXl5+cDgMFOIYzVZ6pOTX2P1llWLCqVSvsqnTmxVFaXLl1gYWEBlUqFY8eOmUymFAoFFAr93o/kcrkkB7BMJpNs3VQ/sA1RZbENSe9i0j38fOQ6hnb1wsQQH8hkdWs0HrYhMpdc9rCNPNpW2IaqnhT7slZ/eppOJzIyMoy+A5mSkqKzrCkODg7auwKpqakm6/Pw8NB55U9Tv7FypaebE0tlWVpaokmTJgCA+/fvV/v6iIiIqsKDPCWW/nEBR2NSMfeZQDzRsUWdS6SIyoPNu36r1clUYGAg5HI5iouLjXYwERsbCwAICgoyq07Na3OacubWZ245FxcX+Pj4mBWLKQUFBdi5cyfy8vIMzi8pKcHdu3e16yQiIqrNVGqBnWeS8OW283gqqBVeH9oB9jYcf5GI6rZanUy5u7ujX79+AIB9+/bpzb969SqSk5Ph6OiIoUOHmlXn+PHjjdYHAJGRkTrLaYwbNw5yuRxnzpwx2MGEptzYsWOrZFyptLQ0jBo1ymiX75cuXdKOZ9WrV69Kr4+IiKi6XE/Jwqe/PPw++yw0GO2aVf/r8ERENaFWJ1PAw44WAGD58uUoKSnRmbd06VIAwPvvv6/zSt7Zs2cREBCA8ePH65UJDQ2Fr68vTp48iaioKJ15UVFROHHiBPz8/BAaGqozr1WrVpgyZQqUSiW+//57nXkPHjzA6tWrYW1tjdmzZ1dugx+xbt06g9M/++wzAMCQIUMQEBBQpeskIiKqCnmFxfh+9z/YHp2I95/qgpGBLWEh5ztPRFR/1Ppkql+/fggLC8M///yDMWPG4OzZs7h27Ro++ugjrFixAsOHD8fHH3+sU2b16tWIiYnB77//jgsXLujMs7KyQkREBFxdXTFu3Dhs2bIFiYmJ2LJlC8aNGwdXV1f8/vvvsLTU75vjm2++QWBgIObOnYulS5fixo0bOHbsGIYNG4a7d+9i5cqVRn8vlZqaitTUVGRkZJicpmFhYQGZTIa1a9diypQpOHLkCJKSknDixAk8++yz2Lp1KwICAowmW0RERFIRQmD/pdtY+NsZPNbeA+891QWNHPQ7QiIiqutkQgghdRDm2LVrF5YuXYrTp0+juLgYvr6+mDp1KmbOnKn3Wt2hQ4fwzDPPICAgAH///bfBbhJv376NBQsWYNeuXUhPT4e7uzuGDRuGefPmoUWLFkbjKCwsxFdffYWNGzciISEB9vb2CAkJwccff4zevXsbLWfqx7UtW7ZEYmKi3vRr165h48aNiIyMRExMDLKysuDo6IiAgACMGzcOM2bM0HkiZ67s7Gw4OzsjKytLkq7RNfubvddQRbANUWWxDVWvW3dzsXJfLAI8G2Fsr9awsqh/+5htiMoj9nYmzt64i8l9/9fzMttQ9ZDiGrfOJFNUdZhMUV3GNkSVxTZUPZTFKmw6Gofke3l4eZA/mrqU/2ZfXcE2ROXBZKrmSHGNW6vHmSIiIqLa7+T1NEScSMDYnq3x4hN+UodDRFRjmEwRERFRhaRnFWBlZAw8Gtlh4cQesLHmZQURNSw86xEREVG5lKjU2HoyAZdu3sdLA/3h7eYodUhERJJgMkVERERmu3TzPjYcvoYhnT2xYGIPkx0sEREA8Bipz5hMERERUZke5Cmxen8srC0tMGdcIBxtraQOiYhIckymiIiIyCi1ENh97haOxKTgxSf84NfcReqQiIhqDSZTREREZFBcShZWH7iKXu3csSg0GBZyvq5ERFQakykiIiLSkacsRvih68gpKMJ7T3WGq4ON1CEREdVKTKaIiIgIACCEwKErKdh19iZCH/NB19ZNpA6JiKhWYzJFREREuH0vDysiY+DXwgWfhQbB2tJC6pCIiGo9JlNEREQNmLJYhc3H4pGUkYMZQwLg0chO6pCIiOoMJlNEREQNVHRcOn47fgOjg1rh+X7tOGYUUTURQuoIqLowmSIiImpgMrILsDIyFm5ONlg4sQdsrHk5QFRdeI+ifuPZk4iIqIFQqdXYdioR5xPvYfoAf7Ryd5Q6JCKiOo3JFBERUQPwz637CD90HQM7tcDCiT34Sh8RURVgMkVERFSPZeUXYc3+WFjIZZg9rhucbK2lDomIqN5gMkVERFQPqYXAnvO3cOhKCqb094V/i0ZSh0REVO8wmSIiIqpnbqRlY9W+WAT5uGFRaBAs5HKpQyIiqpeYTBEREdUT+coShB++hqy8IrwzqjMaO9pIHRIRUb3GZIqIiKiOE0LgaEwqdp5JwsQQH3Rv00TqkIiIGgQmU0RERHXY7ft5WBUZA59mzvgsNAjWlhZSh0REj+CYvfUXkykiIqI6qKhEhV+jbuBGWjZeHhyAZo3spA6JiKjBYTJFRERUx5y5kYFfj8VjVI+WeLavD8eMIqrFeHTWb0ymiIiI6oh7OYVYGRmDRg4KzJ/YA7bW/BonIpISz8JERES1nEqtxh/RSTh7IwPTBvijdVMnqUMiIiIwmSIiIqrVYpIzse7gNTzRsTkWTAqCnK/0ERHVGkymiIiIaqHsgiKs2X8VADB7bDc42VlLHBERET2KyRQREVEtohYCey8k48DlO3ihvy8CPBtJHRIRERnBZIqIiKiWSEzPwap9MejWxg1hk4NgIZdLHRIREZnAZIqIiEhiBUUl2HD4Ou7lFOKtEZ3RxMlG6pCIiMgMTKaIiIgkIoTAsdhU/HE6CRP6tEWPtm5Sh0RE1UEIqSOgasJkioiISAIpmflYERmDNu6OWBQaBGtLC6lDIqJqwEG16zcmU0RERDWoqESF34/fwPWULLw0sD1aNLaXOiQiIqogJlNEREQ15FzCXfxyNA4jAlsi9DEf3rEmIqrjmEwRERFVs3s5hVi1LxbOdtaYOyEQ9gorqUMiIqIqUK4+VxcuXIj8/PzqioWIiKheUakFtp9KwNc7LmJcrzZ4dUgAEykionqkXMnUggULkJeXV12xEBER1Ruxtx9gzqZTsLaywGehQWjr4SR1SEREVMXK9ZqfEAJDhw7F8OHDMXToUPTu3RtyDihIRESklVNQjLUHYlGiFvhoTDc421lLHRIREVWTcv9mauLEiTh58iS+/fZbyOVyDBo0CEOHDsXQoUPRvHnz6oiRiIio1hNCIPLibUReSsYL/XzRwctV6pCIiKialfux0osvvoiIiAjcu3cP27ZtQ7t27fDdd9/By8sLXbp0wUcffYSDBw+ipKSkOuIlIiKqdRLTczB382lk5RchLDSYiRQR6eCQvfVXuZ5MJSQkwM3t4ejsFhYWePzxx/H4448jLCwM6enp+Pvvv7F7925MmDABSqUSAwYMwLBhwzB06FB4e3tXywYQERFJpbCoBD8fiUN6VgHeHN4Rbk62UodEREQ1qFxPplq2bGl0TAx3d3c8//zz+Pnnn5GWlobIyEhYW1vjtddeQ+vWrdGhQ4cqCZiIiKg2iLqainmbT6NzS1d8PLYbEykiogaoSseZKigoQGRkJHbt2oVdu3bh5s2bEOLhg83Y2NiqXBUREZEkUh/kY2VkDLyaOGDhpCAorCykDomIiCRS6WTq2rVr+Ouvv7Br1y4cPnwYRUVFAB7+EFcmk6FHjx4YNmwYhg0bVulgiYiIpFKsUiPi+A3E3n6Alwb5w7Oxg9QhERGRxMqdTBUWFuLAgQPaBCohIQEAtE+gXF1dMWTIEAwfPhxPPvmk9jdWREREddX5xLvYdCQOw7p7Y2JIW6OvvBMRUcNSrmRq+PDhOHToEAoLC7XJk0wmQ2BgoPbpU3BwMMeeIiKieiEzV4lV+2Jhb2OJueMDYW9jJXVIRERUi5Qrmdq9ezeAhwnUyJEjMWHCBD59IiKiekelFvjrbBKOX0vHtCf84NPMWeqQiIioFipXMvXrr79i165d2L17N/bs2YOCggKkp6dj+PDh8Pf3r64YiYiIasy1Ow+w9sBVPNa+GRaFBkHOV/qIiMiIciVTzzzzDJ555hkAwIULF7Br1y5s27YNH374IVq0aIGhQ4di2LBhGDRoEOzt7aslYCIiouqQW1iMdQevQlmswgeju8LFXiF1SEREVMtVuDe/Ll26oEuXLvjoo4+QlZWFPXv2YPfu3Xj99ddx7949hISEaH9HxTGmiIiothJC4MDlO/j7wi0817cdOrVsLHVIRFTP/P+uBqgeqpKeIpydnTF+/HisWrUKt2/fxokTJzBo0CD8/vvv6Ny5M7y9vfHqq69WxaqIiIiqzM27uZi/+TTu5RQiLDSYiRQRVTm+KFy/VXm3e0lJSTh58iROnjyJmJgYAEBycjJWrlxZ1asiIiKqEGWJGmsPXMOGQ9cwc1hHjO/TFpYW7ImWiIjKp1yv+Q0YMABbtmyBi4uLdlpRUREOHTqk7Zji6tWrAP437pS1tTUee+wxDtpLRES1wsnr6dh8JA4T+/pi2kB2nkRERBVXrmTq4MGDKC4uRnx8vDZ5OnjwIAoKCgD8L4Fq3bo1hg4diqFDh2LAgAHsjIKIiCSXnlWAFZExaN7IDm8P9YFXc3epQyIiojqu3B1Q9OjRA8nJyQD+lzzZ2NigX79+2t78fH19qzZKIiKiCipRqbHlZAL+uXkf0we1h6erHdLT06UOi4iI6oFyJ1O3bt0CALRr1w7Dhg3D0KFD0b9/f9jY2FR5cERERJVxKekeNhy5jie7eGH+xB6QyWRQq9VSh0VERPVEuZOpr776CmPHjkXr1q2rIx4iIqJKe5CnxKp9sbCxtsCnzwTCwcZK6pCIiKgeKncy9fzzz8Pdne+ZExFR7aMWArvO3sSx2FRMHeCPds2cpQ6JiIjqsXL1AztlyhTY2tqWeyXZ2dmYNm1aucsRERGZ63pKFuZsioZaAJ+FBjORIqJaQ4Cj9tZX5Uqm1q9fr+25rzwKCgqwbt26cpcjIiIqS15hMX74+x9sj07E+091wageLWEh5zCZRERU/cr1mp8QAkuWLIGDg0O5VpKbm1uu5YmIiMoihMDBf+5g97lbmNy3Hbq0aix1SEREemS8t1Ovlfs3U0uXLi33SoQQkLElERFRFbl1Nxcr98UiwNMFiyYHw8qiXC9aEBERVYlyJVM2NjYoLCxE48aN0bFjR7PLFRUV4cSJE+UOrj7asWMHXn31VaSkpGjH6SIiIvMoi1X45Wgcbt3Lw2tPBsDDxU7qkIiIqAEr1628hIQE/Otf/0JBQQGsrKywcOFCHDhwoMy/iIiISge6e/duDB48GK6urrC3t0f37t2xfPnyCo8XkpKSghkzZsDb2xsKhQLe3t6YMWMG7ty5Y7KcUqlEWFgYOnToAFtbW7i5uWH06NE4efKkyXKZmZl44YUX8NRTTyElJaVcsVb1thMR1UWnrqfj01+i4dvcBXOe6c5EioiIJFeuZKpp06b4+uuvkZCQgK5du2L48OHo378/9u/fb7KcQqHA448/XuEgv/jiCwwbNgw2NjbYu3cvzp07h8GDB2PWrFkYPXo0SkpKylXflStX0KlTJ2zfvh3Lli1DbGwsli1bhm3btqFz5864cuWKwXK5ubno27cv5s+fj2nTpuHy5cvYsmUL0tLSEBISgo0bNxosd+rUKXTo0AHnz5/H77//Lum2ExHVNelZBfh3xFlcvnkfCyf2QG+/plKHRERE9JCohIyMDPHRRx8JJycn0bt3b7Fr167KVGfQ4cOHBQAREBAgioqKdOa9/PLLAoBYtGiR2fUVFxcLf39/AUAcO3ZMZ97Ro0cFANG+fXtRXFysV3b69OkCgAgLC9OZnpmZKdzd3YVCoRDx8fF65b777jsxd+5cUVRUJBISEgQAYc6ur+pt18jKyhIARFZWVrnLVpZKpRIpKSlCpVLV+LqpfmAbajiKS1Ti16g48emmUyIxPbvK6mUbospiG6LyiEt5INYeiNWZxjZUPaS4xq3UL3abNGmCxYsXIzExEQMHDkRoaCiCgoLwxx9/VCrBK23+/PkAgFmzZsHKSncE+3fffRcA8OWXX5rdZfumTZsQGxuLnj17ok+fPjrzQkJC0KtXL8TExGDz5s0685KSkrBmzRooFArMnDlTZ56LiwumTZsGpVKJxYsX663z1VdfxYIFC/TiL0tVbzsRUV1x+eZ9fLLpFBrZK7BgYg+0dHOUOiQiIiI9VdL9UaNGjfDZZ58hMTERI0aMwIsvvoguXbqU+5W2R2VkZODgwYMAgIEDB+rN9/Pzg6enJ7Kzs7Fr1y6z6vztt9+M1gcAgwYNAgC9ZCoiIgJqtRqBgYFwdtYfCFJTLiIiAiqVSmeehYWFWbGVVh3bTkRU2z3IU2LZjos4+M8dzBkXiEGdPdkbLBER1Vrl7hrdFGdnZ8yfPx9jx47FoEGDMHHiREyZMgWrV6+uUH2nT5+GWq2GlZUV2rZta3AZf39/JCcnIzo6GmPHji2zTk1HEf7+/kbrA4Do6OgKlcvMzERcXBz8/PzKjMWUqtx2pVIJpVKp/Xd2djYAQK1W13gnFmq1GkIIdp5BFcY2VD+phcDf55NxNDYVL/RrB7/mLg+nV8PnzDZElcU2ROWhVgsItW57YRuqHlLszypNppKSkhAWFob169ejuLgYQohKdf8dHx8PAHBzc4NcbvghWrNmzXSWNSU3Nxfp6ekAAA8PD5P1paamIj8/H3Z2djr1GytXenp8fHylk6mq3PbFixdjwYIFetMzMjJQWFhYqTjLS61WIysrC0IIo9tFZArbUP2TdC8fv526jS7ezpj1hDfk8iLtubo6sA1RZbENUXlkZuYjLz9P57zGNlQ9cnJyanydVZJMJSUlYdGiRVi/fj1KSkoghICfnx/mzJmD0NDQCtereYJia2trdBlNspOVlWV2fabq1NSnqVPz77JisbCwgEKhgFKpNCsWc2Otim3/+OOP8c477+jU7eXlBTc3Nzg5OVU61vJQq9WQyWQmk0QiU9iG6o88ZTE2HI5DTkExPhrXA64OihpZL9sQVRbbEJVHrsiGfVoR3N3dtdPYhqqHjY1Nja+zUslUYmKi9kmUoSSKjaN2UCgUUCj0L1Lkcrkkn5FMJpNs3VQ/sA3VbUIIHL6Sgr/O3kToYz7o2rpJjcfANkSVxTZE5pLJ5Nr2ojudbaiqSbEvK5RMJSYmYtGiRQgPD9dJoj799FNMmjSpyjZE89TEVG91+fn5AGCwUwhj9ZmqU1Pfo3WWFYtKpdL+LsmcWMyNtaq2nYioNrh9Lw8rImPg29wZn4UGwdqy/B30EBER1RblynoSEhIwffp0+Pn5Yc2aNSguLoavry82bNiAK1euYPLkyQYTqczMTAwYMKDcwWk6XsjIyDD6g7KUlBSdZU1xcHDQPmJNTU01WZ+Hh4fOK3+a+o2VKz3dnFjKUtXbTkQkpaISFcIPXcPq/bGYMSQAk/u2YyJFRER1XrmSKT8/P6xduxbFxcXw8/PDzz//jJiYGEyePNlk17VFRUU4dOhQuYMLDAyEXC5HcXGx0U4WYmNjAQBBQUFm1RkcHKxTztz6zC3n4uICHx8fs2IxpTq2nYhICqfjM/Dppmi0beqEOc90h0cju7ILERER1QHles2vpKQEMpkMjRs3RnBwMPbu3Yu9e/eWWa6ig8q6u7ujX79+OHDgAPbt24d27drpzL969SqSk5Ph6OiIoUOHmlXn+PHjsXPnTuzbtw9hYWF68yMjI7XLlTZu3Dh88MEHOHPmDLKysvRerdOUGzt2bIXGlXpUdWw7EVFNuptdiBWRMXBzssH8iT1ga12lHcgSERFJrtw/burVqxc6duyIpKQkJCQkmPV38+bNCgc4b948AMDy5ctRUlKiM2/p0qUAgPfff1/nlbyzZ88iICAA48eP1ysTGhoKX19fnDx5ElFRUTrzoqKicOLECfj5+en1QtiqVStMmTIFSqUS33//vc68Bw8eYPXq1bC2tsbs2bMrvK2Pqsi2ExFJTaVWY8uJG/jmz4sIfcwHLw1qz0SKiIjqJ1EOMplMpKWllaeIEEKIlJQUIZfLy11OIywsTAAQI0eOFGfOnBFXr14VH374oQAghg8fLoqLi3WWnzlzpgAgAIjTp0/r1Xfp0iXh6uoqPDw8REREhEhISBARERHCw8NDuLq6ikuXLhmMIzs7WwQGBgpLS0uxZMkSER8fL44ePSp69eol5HK5WL9+vcl9kJKSIk6dOqWNTTMtPT29yrbdHFlZWQKAyMrKKnfZylKpVCIlJUWoVKoaXzfVD2xDtdvlm/fEh+EnxJ7zt4RarZY6HIPYhqiy2IaoPOJSssSa/bE609iGqocU17jlulXYsmXLCr3CplAo8Pjjj5e7nMbs2bPRrVs3LF26FAMGDNB2fPHNN99g5syZejGNHz8emzdvRkBAADp06KBXX8eOHXHx4kUsWLAAb731FtLT0+Hu7o5Ro0Zh3rx5aNGihcE4HB0dcfToUXz11VdYuXIlPvnkE9jb2yMkJARHjx5F7969jW6DZoBdQ9NatmyJxMTEKtl2IiIpZOcXYc2Bq5DJgNnjusHJ1lrqkIiIagUT3QpQPSATQgipg6CalZ2dDWdnZ2RlZUkyaK8meeW4ClQRbEO1i1oI7L2QjIP/3MEL/XzR3rOR1CGViW2IKottiMrjRlo2Dl9JwYtP+GmnsQ1VDymucfkSOxERVciNtGys3h+LHm3dsCg0CBa8ICAiogaGyRQREZVLvrIE4Yev4UGuEm+P7IzGjjZSh0RERCQJJlNERGQWIQSOxqZi5+kkTAhpi8A2blKHREREJCkmU0REVKY79/OwMjIGbT2c8VloEKwt2fkNERERkykiIjKqqESF36JuID41Cy8Nao/mrvZSh0RERFRrMJkiIiKDzt64i83H4jCyR0tM7usDGfv3JSIi0sFkioiIdNzLKcSqfbFwsbfGvAk9YKfgVwUREZEh/IYkIiIAgEqtxh/RSThzIwPTBvijTdOaHYeOiKi+4rCu9ReTKSIiQuztTKw7eA39OzTHwklBkPOVPiKiKsGzaf3GZIqIqAHLLijC2gNXIQTw8ZhucLKzljokIiKiOoPJFBFRAySEwN6Lydh/6Q6e79cOHbxcpQ6JiIiozmEyRUTUwCSm52DVvhh0a90EYZODYCGXSx0SERFRncRkioiogSgoKsHPh6/jbk4h3hrRGU2cbKQOiYiIqE5jMkVEVM8JIRB1NQ3boxMxvncbBPm4Sx0SERFRvcBkioioHkvNzMeKyBi0cnfEotAgWFtaSB0SERFRvcFkioioHioqUeH34zdwPSULLw1sjxaN7aUOiYiIqN5hMkVEVM+cT7iLTUfjMLy7N0If84GMY0YREUmKQ/bWX0ymiIjqifu5hVgZGQtnO2vMnRAIe4WV1CERETV4vKFVvzGZIiKq41RqgZ1nknDqejqmDfBDWw9nqUMiIiJqEJhMERHVYVfvPMDaA1fRt30zfBYaBDnvgBIREdUYJlNERHVQTkEx1h28imKVGh+O7goXe4XUIRERETU4TKaIiOoQIQT2XbqNvReT8fzjvujo7Sp1SERERA0WkykiojoiKSMHK/fFonNLV4SFBsPSQi51SERERA0akykiolqusKgEG4/EIS2rALOGdYS7s63UIRERERGYTBER1WrHr6Zh66kEPNOrDaa1c5c6HCIiIiqFyRQRUS2U+iAfKyNj4dXEHp9NCoLCykLqkIiIqKI4am+9xWSKiKgWKVapseXEDVxJfoCXBvrDq4mD1CERERGREUymiIhqiQuJ97Dx6HUM6+qNCX3aQsYxo4iIiGo1JlNERBLLzFVi1b5Y2NtYYu4zgbC3sZI6JCIiIjIDkykiIomo1AJ/nb2J49fSMPUJP7Rr5ix1SERERFQOTKaIiCRwPSULa/bHIsTfA59NCoKFnK/0ERER1TVMpoiIalBuYTHWHbwKZbEKH4zuChd7hdQhERERUQUxmSIiqgFCCBy4fAd/X7iF5/q2Q6eWjaUOiYiIiCqJyRQRUTW7eTcXqyJj0MHbFWGhwbC0kEsdEhEREVUBJlNERNWksFiFTUeu405mPl4f2gFNXeykDomIiIiqEJMpIqJqcPJ6GracSMCYnq0xdYC/1OEQEZGEhNQBULVhMkVEVIXSswqwIjIGzRvZYcGkINhYWUgdEhERSYjjr9dvTKaIiKpAiUqNrScTcPnmfUwf6A9vN0epQyIiIqJqxmSKiKiSLiXdw4Yj1/FkFy/Mn9gDMt6GJCIiahCYTBERVdCDPCVW74+FwsoCnz4TCAcbK6lDIiIiohrEZIqIqJzUQmDX2Zs4FpuKF5/wg29zF6lDIiIiIgkwmSIiKoe4lCysPnAVvX3d8VloMCzkfKWPiIiooWIyRURkhjxlMdYfvIY8ZQnef6oLGjkopA6JiIiIJMZkiojIBCEEDv2Tgl3nbiK0rw+6tmoidUhERERUSzCZIiIyIvleLlZExqJ9CxcsmhwMKwu51CEREVEdJASH7a2vmEwRET1CWazCL8ficOtuLl57MgAeLnZSh0RERES1EJMpIqJSouPS8dvxGxgd3ApT+vtJHQ4REdVx7KaofmMyRUQEICO7ACsjY+HubIuFE3vAxpqnRyIiIjKNVwtE1KCVqNTYdioRF5Lu4aWB/mjp5ih1SERERFRHMJkiogbrn1v3sf7QNQzq5ImFE3tAJuPLGERERGQ+JlNE1OBk5Rdh9f5YWMplmDMuEI62VlKHRERERHUQkykiajDUQuDv87dw+EoKpvT3g38LF6lDIiIiojqMyRQRNQjxqdlYvT8Wwe3csSg0GBZyvtJHRERElcNkiojqtXxlCcIPXUNWfhHeGdUZjR1tpA6JiIiI6gkmU0RULwkhcCQmFX+eScKkx3zQrXUTqUMiIiKieobJFBHVO7fv52FlZAzaNXPGZ6FBsLa0kDokIiJqqNhTbL3GZIqI6o2iEhV+PRaPG+k5eGVwAJo1spM6JCIiIqrHmEwRUb1wJj4Dv0bF46mgVnj28XYcM4qIiIiqHZMpIqrT7mYXYtW+GDR2tMH8iT1ga83TGhEREdUMXnUQUZ2kUquxLToJ525kYPrA9mjl7ih1SERERNTAMJkiojonLi0X/4lMxIBOLbBwUhBf6SMiIiJJMJkiojojO78Iq/fHorCgAB+N7goXB44ZRURERNJhMkVEtZ5aCOy9kIwDl+/g+X4+aGxVDCc7a6nDIiIiogZOLnUA5tq9ezcGDx4MV1dX2Nvbo3v37li+fDnUanWF6ktJScGMGTPg7e0NhUIBb29vzJgxA3fu3DFZTqlUIiwsDB06dICtrS3c3NwwevRonDx5ssx1bty4EY899hicnJzg5OSEkJAQ/Pzzz0aXP3jwIGQymcm/bdu2lXfTieqUhLRszPslGvnKEoRNDkL7Fo2kDomIiKhchNQBULWpE8nUF198gWHDhsHGxgZ79+7FuXPnMHjwYMyaNQujR49GSUlJueq7cuUKOnXqhO3bt2PZsmWIjY3FsmXLsG3bNnTu3BlXrlwxWC43Nxd9+/bF/PnzMW3aNFy+fBlbtmxBWloaQkJCsHHjRqPrfP311/Hss8/C19cXUVFRiIqKgq+vL5577jm8/vrrRstZWlrCz8/P6J+jI390T/VTQVEJVkTG4NeoePxrZGeM6dkaFvI6ccoiIiKihkLUcocPHxYAREBAgCgqKtKZ9/LLLwsAYtGiRWbXV1xcLPz9/QUAcezYMZ15R48eFQBE+/btRXFxsV7Z6dOnCwAiLCxMZ3pmZqZwd3cXCoVCxMfH65ULDw8XAMSQIUP05g0ePFgAEBs2bNCbd+DAAdGyZUuzt81cWVlZAoDIysqq8rrLolKpREpKilCpVDW+bqob1Gq1OHLljvhg/XFxOi5dbz7bEFUW2xBVFtsQlcfNjBzx094rOtPYhqqHFNe4tf427/z58wEAs2bNgpWVlc68d999FwDw5ZdfoqCgwKz6Nm3ahNjYWPTs2RN9+vTRmRcSEoJevXohJiYGmzdv1pmXlJSENWvWQKFQYObMmTrzXFxcMG3aNCiVSixevNjoNrz99tt68zTboFmGqCFLyczHZ7+fRWJGLj4LDUJgWzepQyIiIiIyqlYnUxkZGTh48CAAYODAgXrz/fz84OnpiezsbOzatcusOn/77Tej9QHAoEGDAEAvmYqIiIBarUZgYCCcnZ2NlouIiIBKpdJOP3v2LOLj42FpaYl+/frplXv88cdhZWWFuLg4nD171qxtIKpvikpU+Pnwdfy09wqmD/THc4+3g7WlhdRhEREREZlUq3vzO336NNRqNaysrNC2bVuDy/j7+yM5ORnR0dEYO3ZsmXVqOorw9/c3Wh8AREdHV6hcZmYm4uLi4Ofnp1PO29sbtra2euVsbW3RsmVLxMXFITo6Gt27d9eZX1xcjP/85z/YvHkzEhMTAQBt27bF008/jddeew0ODg5lbrNSqYRSqdT+Ozs7GwCgVqsr3IFHRanVagghany9VHudS7iLzVE3MKK7FyaFtIFMJjPZPtiGqLLYhqiy2IaoPITQby9sQ9VDiv1Zq5Op+Ph4AICbmxvkRn543qxZM51lTcnNzUV6ejoAwMPDw2R9qampyM/Ph52dnU79xsqVnh4fH69Npsoqp1lnXFycwW24c+cOfvnlF7z33nto3749MjMzER4ejg8++AA//fQT9uzZg9atW5vc7sWLF2PBggV60zMyMlBYWGiybFVTq9XIysqCEMLoZ0oNw4P8Ymw+mQwnW0u81s8LttYWyMjIKLMc2xBVFtsQVRbbEJXHvQeFyM/P116DAmxD1SUnJ6fG11mrkynNExRDT3Q0NMlOVlaW2fWZqlNTn6ZOzb/LisXCwgIKhQJKpVInlspsg6enJ+bNm4dPPvlE5/dijz32GBQKBb799ls888wzOH36NGQymdH6P/74Y7zzzjs6MXl5ecHNzQ1OTk5Gy1UHtVoNmUxmMkGm+k2lVmPnmZs4HZeBaQPao3XT8rVBtiGqLLYhqiy2ISqPIotc2Nnlw93dXTuNbah62NjY1Pg6a3Uy1dD5+PgY7Zjik08+wffff4+zZ88iMjISgwcPNlqPQqGAQqHQmy6XyyU5gGUymWTrJmnF3s7EuoPX0C+gGT6bHAy5iZsAprANUWWxDVFlsQ2RuWQyuba96E5nG6pqUuzLWv3paZ6amOqpLz8/HwAMdgphrD5TdWrqe7TOsmJRqVTa3yWVp1zpdZqzDRpNmzaFp6cnAODYsWNmlyOSQk5BMb796xJ2n7uFj8Z0w9Bu3hVOpIiIiIhqi1qdTGk6ncjIyDD6g7KUlBSdZU1xcHDQPmJNTU01WZ+Hh4fOK3+a+o2VKz29dCxllSvvNpSm+R3W/fv3y1WOqKYIIbD3QjLCIs5iQKcW+NfIznC2s5Y6LCIioholhJA6BKomtTqZCgwMhFwuR3FxsdEOJmJjYwEAQUFBZtUZHBysU87c+swt5+LiAh8fH71yN2/eNPh0qqCgAElJSQbXuXPnTty9e9fotmgSNBcXF6PLEEklMT0Hc3+JRnZBEcImB6GDl6vUIREREdU4vohRv9XqZMrd3V07NtO+ffv05l+9ehXJyclwdHTE0KFDzapz/PjxRusDgMjISJ3lNMaNGwe5XI4zZ84Y7OxCU27s2LGwsPjf+DiBgYFo06YNSkpKcOjQIb1yhw8fRnFxMdq2bavXLfqoUaOwc+dOg3FmZGQgOTkZANC7d2+DyxBJobCoBCsjY7DpaBzeHNEJ43q1gQXfByciIqJ6qNZf4cybNw8AsHz5cpSUlOjMW7p0KQDg/fff13kl7+zZswgICMD48eP1yoSGhsLX1xcnT55EVFSUzryoqCicOHECfn5+CA0N1ZnXqlUrTJkyBUqlEt9//73OvAcPHmD16tWwtrbG7NmzjW7DsmXL9OZ9/fXXOss8av369QYfDf/73/+GSqVC+/btMWTIEINliWqSEAJRsamYu/k0urRqjI/HdoObk/FeLImIiIjqPFEHhIWFCQBi5MiR4syZM+Lq1aviww8/FADE8OHDRXFxsc7yM2fOFAAEAHH69Gm9+i5duiRcXV2Fh4eHiIiIEAkJCSIiIkJ4eHgIV1dXcenSJYNxZGdni8DAQGFpaSmWLFki4uPjxdGjR0WvXr2EXC4X69evN7oNr7zyigAgpk6dKi5fviwuX74spk6dKgCIV155xWAZCwsLAUCMGDFCREZGioSEBHH27Fnx5ptvCgDC09NTXLlypRx78qGsrCwBQGRlZZW7bGWpVCqRkpIiVCpVja+bqk/K/Tyx8NfTYt2Bq6KwqKRa18U2RJXFNkSVxTZE5XHrbo74cc8/OtPYhqqHFNe4daJr9NmzZ6Nbt25YunQpBgwYgOLiYvj6+uKbb77BzJkzdV6rAx6+ord582YEBASgQ4cOevV17NgRFy9exIIFC/DWW28hPT0d7u7uGDVqFObNm4cWLVoYjMPR0RFHjx7FV199hZUrV+KTTz6Bvb09QkJCcPToUZOv2/3444/o27cvvv/+e/Tq1QsA0KlTJ4SHh+O5554zWCYpKQkbNmzAnj17MHnyZNy/fx+2trZo164d5s+fj1mzZsHVlb9DIekUq9T4/fgNXL39AC8Pao8Wje2lDomIiIioxsiEYPciDU12djacnZ2RlZUlyaC9muSV4yrUbecT7mLT0TgM7+6NxwOamRw4uiqxDVFlsQ1RZbENUXkk38vFX2dv4pXBAdppbEPVQ4pr3DrxZIqIao/7uYVYtS8WjrbWmDshEPYKK6lDIiIiIpIEkykiMotKLfDnmSScvJ6OaQP80NbD/EGmiYiIiOojJlNEVKZrdx5g7YGreKx9M3wWGgQ5B80gIiIyG39TU38xmSIio3ILi7H2wFUUl6jxweiucLFXSB0SERFRnSIDb0DWZ0ymiEiPEAL7L93GnovJeO5xX3TyZq+RRERERI9iMkVEOm5m5GDlvlh0aumKsNBgWFqwlyEiIiIiQ5hMEREAoLBYhY1HriPtQQHeGNYR7s62UodEREREVKsxmSIinLiWhq0nEzCuVxtMG+AudThEREREdQKTKaIGLO1BPlZExsKrsT0WTAqCjZWF1CERERER1RlMpogaoGKVGltOJOBKciZeGugPryYOUodEREREVOcwmSJqYC4m3cPPR65jaFcvTOgTCBnHjCIiIiKqECZTRA3EgzwlVu2LhZ3CEnOfCYS9jZXUIRERERHVaUymiOo5lVpg17mbiLqahqlP+KFdM2epQyIiImpYhNQBUHVhMkVUj11PycKaA1fRx68pPpsUBAs5X+kjIiKqUfzqrdeYTBHVQ3mFxVh38BoKikrw/lNd0MhBIXVIRERERPUOkymiekQIgYP/3MHu87fwbN926NyysdQhEREREdVbTKaI6olbd3Oxcl8sAjwbYVFoMKws5FKHRERERFSvMZkiquOUxSr8cjQOyffz8PqTAWjqYid1SEREREQNApMpojrs1PV0RJy4gTE9W2PKE35Sh0NERETUoDCZIqqD0rMKsDIyBh6N7LBgUhBsrCykDomIiIiowWEyRVSHlKjU2HoyAZdu3sdLA/3h7eYodUhEREREDRaTKaI64tLN+9hw+BqGdPbEgok9IJNx4AoiIqK6gGP21l9MpohquQd5SqzeHwtrSwt8+kwgHGyspA6JiIiIzMRbn/UbkymiWkotBHafu4UjMSl48Qk/+DV3kTokIiIiIiqFyRRRLRSXkoXVB66iVzt3LAoNhoWc97WIiIiIahsmU0S1SJ6yGOGHriO3oBjvPdUZrg42UodEREREREYwmSKqBYQQOHQlBbvO3kRoXx90bdVE6pCIiIiIqAxMpogkdvteHlZExsC/hQsWTQ6GlYVc6pCIiIiIyAxMpogkoixWYfOxeNy8m4MZQwLg0chO6pCIiIiIqByYTBFJIDouHb8fv4Gng1vh+X7tOGYUERERUR3EZIqoBmVkF2BlZCzcnW2xYGIP2FjzECQiIqrvhOCwvfUVr+SIaoBKrca2U4k4n3gP0wf4o5W7o9QhEREREVElMZkiqmb/3LqP8EPXMbBTCyyc2IOv9BERETUg/N6v35hMEVWTrPwirNkfCwu5DLPHdYOTrbXUIRERERFRFWIyRVTF1EJgz/lbOHQlBVP6+8K/RSOpQyIiIiKiasBkiqgK3UjLxur9sQhq64ZFoUGwkHPMKCIiIqL6iskUURXIV5Yg/PA1ZOUV4e2RndHY0UbqkIiIiIiomjGZIqoEIQSOxqRi55kkTAzxQfc2TaQOiYiIiIhqCJMpogq6fT8PqyJj4NPMGZ+FBsHa0kLqkIiIiIioBjGZIiqnohIVfo26gRtp2Xh5cACaNbKTOiQiIiIikgCTKaJyOHMjA78ei8eoHi3xbF8fjh1BRERE1IAxmSIyw72cQqyMjIGrow3mT+wBW2seOkRERFQ23nat33hFSGSCSq3GH9FJOHsjA9MG+KN1UyepQyIiIiKiWoLJFJERMcmZWH/oGvp3aI4Fk4Ig5yt9RERERFQKkymiR2QXFGHN/qsAgI/HdIOTnbXEERERERFRbcRkiuj/E0Jg78Vk7L90By/090WAZyOpQyIiIiKiWozJFBGAxPQcrNoXg25t3BA2OQgWcrnUIRERERFRLcdkihq0gqISbDh8HfdyCvHWiM5o4mQjdUhEREREVEcwmaIGSQiBqKtp+CM6ERP6tEVgWzepQyIiIiKiOobJFDU4KZn5WBEZgzbujvgsNAjWlhZSh0RERET1mBBSR0DVhckUNRhFJSr8fvwGrqdk4aVB7dHC1V7qkIiIiIioDmMyRQ3CuYS7+OVoHEYEtkToYz6QccwoIiIiqgm85KjXmExRvXYvpxCr9sXC2d4a8yb0gJ2CTZ6IiIiIqgavLKleUqkFdp5ORHR8BqY+4Y+2Hk5Sh0RERERE9QyTKap3Ym8/wLqDV9EvoBkWTgqCnK/0EREREVE1YDJF9UZOQTHWHohFiVrgozHd4GxnLXVIRERERFSPMZmiOk8IgciLt7Hv0m08368dOni5Sh0SERERETUATKaoTktMz8Gq/bHo2qoxFoUGwdJCLnVIRERERNRAMJmiOqmwqAQ/H4lDelYB3hzeEW5OtlKHREREREQNDJMpqnOirqZi+6lEPNO7DYJ83KUOh4iIiMgkASF1CFRNmExRnZH6IB8rI2Pg3cQRCycFQWFlIXVIRERERCaxT+H6jckU1XrFKjUijt9A7O0HeGmQPzwbO0gdEhERERER6syv9Xfv3o3BgwfD1dUV9vb26N69O5YvXw61Wl2h+lJSUjBjxgx4e3tDoVDA29sbM2bMwJ07d0yWUyqVCAsLQ4cOHWBraws3NzeMHj0aJ0+eLHOdGzduxGOPPQYnJyc4OTkhJCQEP//8c5nlTp48idGjR8PNzQ22trbo0KEDFi1aBKVSafb21lXnE+9izsZT8Ghkh3kTAplIEREREVGtUSeSqS+++ALDhg2DjY0N9u7di3PnzmHw4MGYNWsWRo8ejZKSknLVd+XKFXTq1Anbt2/HsmXLEBsbi2XLlmHbtm3o3Lkzrly5YrBcbm4u+vbti/nz52PatGm4fPkytmzZgrS0NISEhGDjxo1G1/n666/j2Wefha+vL6KiohAVFQVfX18899xzeP31142W27hxI0JCQpCWloYtW7bg8uXLmDZtGhYsWIC+ffsiNze3XNteV2TmKrFk+wUcv5qGuRMC0b9Dc8g4+C4RERER1Sailjt8+LAAIAICAkRRUZHOvJdfflkAEIsWLTK7vuLiYuHv7y8AiGPHjunMO3r0qAAg2rdvL4qLi/XKTp8+XQAQYWFhOtMzMzOFu7u7UCgUIj4+Xq9ceHi4ACCGDBmiN2/w4MECgNiwYYPevLi4OKFQKIS7u7vIzMzUmRcWFiYAiJdeesmczdaRlZUlAIisrKxyl60slUolUlJShEqlMji/RKUWf0QniI9/Pimu33lQw9FRXVBWGyIqC9sQVRbbEJVHamaeWL7rks40tqHqIcU1bq1/MjV//nwAwKxZs2BlZaUz79133wUAfPnllygoKDCrvk2bNiE2NhY9e/ZEnz59dOaFhISgV69eiImJwebNm3XmJSUlYc2aNVAoFJg5c6bOPBcXF0ybNg1KpRKLFy82ug1vv/223jzNNmiWKe3f//43lEolpk6dChcXF515M2fOhEKhwOrVq3Hz5s2yNrtOuHbnAT7ddAoWcjkWhQbBp5mz1CERERERERlVqzugyMjIwMGDBwEAAwcO1Jvv5+cHT09PJCcnY9euXRg7dmyZdf72229G6wOAQYMG4cSJE9i8eTOeffZZ7fSIiAio1WoEBgbC2Vn/In/QoEH4/PPPERERgf/7v/+DhcXDnubOnj2L+Ph4WFpaol+/fnrlHn/8cVhZWSEuLg5nz55F9+7dAQAqlQpbtmwxGquzszOCgoJw9OhR/P7773jnnXfK3PbaKrewGOsOXoWyWIUPRneFi71C6pCIiIiIqk2JSo39VzLQQ6WAb4tG1b6+G2nZ+C0qHvlK834aMyGkLTp4uVZzVPVDrU6mTp8+DbVaDSsrK7Rt29bgMv7+/khOTkZ0dLRZyZSmowh/f3+j9QFAdHR0hcplZmYiLi4Ofn5+OuW8vb1ha6s/sKytrS1atmyJuLg4REdHa5Opa9eu4cGDB2Wu8+jRo3qx1hVCCBy4fAd/X7iF5x73RSdvHrRERERUv529cRe/HItDY1s5VHHpOsnUhcR7iL39AGohoFILqNRqqNUP/z+3sBhFJWqohYAQD6+j1AIAHv5XlJpeWolawNVBgWkD/eHmpH8taii+6ylZ6ODlitzCYuy7dBtFJSq95Tq3bAy/5i6V3Bt1X61OpuLj4wEAbm5ukMsNv5HYrFkznWVNyc3NRXp6OgDAw8PDZH2pqanIz8+HnZ2dTv3GypWeHh8fr02myiqnWWdcXJzONpT+/7JiLWvblUqlTs9/2dnZAAC1Wl3h3hArSqVS4UBMBizic3H5ViY6ejXCZxN7wNJCXuOxUN2kVqsffoGwvVAFsQ1RZbENUXmohcDte3nYc/4WTsdnoImTDeaM7Yobt1KwKToNW0/eQFGJGlfvPEAzFzv09HWHhVwGC5kcFnIZ5HIZLOQy2CssYWNtARlkkMsAyP7/fwHIZTLIZDLIZA/HtTLWaZc5bdbO2gJn4jPwIFeJ2DsPMKK7N5zsrHWWKS5R44fd/+D5fu0gk8mQmpmvnedkZ40+fk0rursqRYpjslYnU5qLfkNPdDQ0yU5WVpbZ9ZmqU1Ofpk7Nv8uKxcLCAgqFAkqlUieWim6DppyFhYXeb8VMlTNk8eLFWLBggd70jIwMFBYWmixb1dRqNaxEEVxtrDE52AMudla4f+9ujcZAdZtarUZWVhaEEEZvshCZwjZElcU2ROWhUqnR3csBhfm5GN7RFR7ONsjNug8rdQGe8HWGlWUJrBRydOruDld7awAGXsVTA6oCIM+8LgIqxV6mRl8fZ9grLDHEvyXkcpnBmEZ1ccPRyzfhYGOJZs422tGJSwqLkJ4uTQ/MOTk5Nb7OWp1MUdX4+OOPdX5TlZ2dDS8vL7i5ucHJyalGY1Gr1QiRyUw+bSQyRa1WQ8Y2RJXANkSVxTZE5TW2me5bRpo25OdbO9tQi2bG36jScHd3xxPdaiCYcrCxsanxddbqZEpzoW+qp778/IePFQ11CmGsPlN1aup7tM6yYlGpVNpX6cpTrvQ6DZVTqVQoLi42+HTK3G1XKBRQKPQ7dZDL5ZIcwDKZTLJ1U/3ANkSVxTZElcU2RJXFNlT1pNiXtfrT03Q6kZGRYfQdyJSUFJ1lTXFwcIC7uzuAh7+JMlWfh4eHzit/mvqNlSs9vXQsZZUztg2l/7+sWM3ZdiIiIiIiqlq1OpkKDAyEXC5HcXGx0U4WYmNjAQBBQUFm1RkcHKxTztz6zC3n4uICHx8fvXI3b940+HSqoKAASUlJeuv09fXVPnEqb6xERERERFT9anUy5e7urh2bad++fXrzr169iuTkZDg6OmLo0KFm1Tl+/Hij9QFAZGSkznIa48aNg1wux5kzZwx2+KApN3bsWO0YU8DDhLBNmzYoKSnBoUOH9ModPnwYxcXFaNu2rbZbdOBhxxOart4NxZqVlYXo6GjI5XKMGzfO5DYTEREREVHVq9XJFADMmzcPALB8+XKUlOj2JLJ06VIAwPvvv6/zSt7Zs2cREBCA8ePH65UJDQ2Fr68vTp48iaioKJ15UVFROHHiBPz8/BAaGqozr1WrVpgyZQqUSiW+//57nXkPHjzA6tWrYW1tjdmzZxvdhmXLlunN+/rrr3WWKW327NmwtrbGmjVr9BK47777DkqlEi+++CJatmypV5aIiIiIiKqZqAPCwsIEADFy5Ehx5swZcfXqVfHhhx8KAGL48OGiuLhYZ/mZM2cKAAKAOH36tF59ly5dEq6ursLDw0NERESIhIQEERERITw8PISrq6u4dOmSwTiys7NFYGCgsLS0FEuWLBHx8fHi6NGjolevXkIul4v169cb3YZXXnlFABBTp04Vly9fFpcvXxZTp04VAMQrr7xitNz69euFXC4XvXv3FkePHhXx8fFiyZIlwtLSUgQGBors7Gwz9+L/ZGVlCQAiKyur3GUrS6VSiZSUFKFSqWp83VQ/sA1RZbENUWWxDVFlsQ1VDymucetEMiWEEH/99ZcYOHCgcHZ2FnZ2dqJr167im2++ESUlJXrLHjx4UDRp0kQ8/vjjoqCgwGB9ycnJ4uWXXxaenp7C2tpaeHp6ipdfflkkJyebjKOgoEAsXLhQ+Pv7C4VCIVxdXcWoUaNEVFRUmdsQHh4uevfuLRwcHISDg4Po3bu3CA8PL7Pc8ePHxVNPPSUaN24sFAqF8Pf3FwsWLDC6bWVhMkV1GdsQVRbbEFUW2xBVFttQ9ZDiGlcmhBBSPRUjaWRnZ8PZ2RlZWVmSjDOVnp4Od3d3dgVKFcI2RJXFNkSVxTZElcU2VD2kuMblp0dERERERFQBTKaIiIiIiIgqgMkUERERERFRBTCZIiIiIiIiqgAmU0RERERERBXAZIqIiIiIiKgCmEwRERERERFVgKXUAVDN0wwtlp2dXePrVqvVyMnJgY2NDcdVoAphG6LKYhuiymIbospiG6oemmvbmhxGl8lUA5STkwMA8PLykjgSIiIiIqKqlZOTA2dn5xpZl0zUZOpGtYJarcadO3fg6OgImUxWo+vOzs6Gl5cXbt26VWMjU1P9wjZElcU2RJXFNkSVxTZUPYQQyMnJQfPmzWvsiR+fTDVAcrkcnp6eksbg5OTEkwdVCtsQVRbbEFUW2xBVFttQ1aupJ1IafEmTiIiIiIioAphMERERERERVQCTKapRCoUC8+bNg0KhkDoUqqPYhqiy2IaostiGqLLYhuoPdkBBRERERERUAXwyRUREREREVAFMpoiIiIiIiCqAyRQREREREVEFMJkiIqJa7e2334ZMJkOrVq2kDoWIiEgHkymqMbt378bgwYPh6uoKe3t7dO/eHcuXL4darZY6NKoiN2/exGeffYaQkBA0atQIVlZWaNq0KYYPH47ff//dZNmTJ09i9OjRcHNzg62tLTp06IBFixZBqVSaLJeSkoIZM2bA29sbCoUC3t7emDFjBu7cuWOynFKpRFhYGDp06ABbW1u4ublh9OjROHnyZLm3m6rPyZMn8d///tfsZdmGSCMvLw+LFy9GUFAQXFxcYGdnhzZt2uDpp5/Gjz/+aLAM2xBpJCYm4u2330bnzp3RqFEj2NjYwMfHBzNmzEBCQoLRclevXsVzzz2HZs3+X3v3HhV1mf8B/M0Ac5Gb3EegQHABYb0gUlCbmpqrqFlqhWkbSFiJbheve6yjqbDmurnUMY2jeEnUPUZ281YoJqAbqJkXEIQBWWBQi7ui4PD5/eH5zs6X+Q4gDRD9Pq9zvufI8zyf7/M83/kI88x8LwOgVCrh5+eHJUuWoK6urt3+6urqsHTpUgwaNAhKpRIDBgzAnDlzUFBQ0G5ca2srNm3ahNDQUNjY2MDJyQlPPfUUjhw50qV5sy4gxnrAunXrCABNmTKFzpw5QwUFBbR06VICQFOnTqWWlpbeHiL7lU6cOEFWVlakUCjonXfeodzcXLp69Srt37+f/vCHPxAAmjVrFul0OqPY1NRUsrS0pPDwcDp58iQVFRXRhg0byMrKisLCwqihoUGyz8uXL5OzszOp1Wr67LPPSKPR0GeffUbu7u7k7OxMly9floxraGigsLAwsrKyog0bNlBRURGdPHmSwsPDydLSklJTU816bFjX3L17l4KDg+nhhx8mAOTt7W2yLecQM1RYWEje3t40cuRIOnDgAGk0GsrPz6d//vOfpFAoyNPT0yiGc4gJjh07RiqViqytrSkxMZEuXLhA+fn5tGnTJrK3tydbW1s6ffq0UVxGRgapVCoKCAigI0eOkEajoZSUFLK1tSVfX1+qrKyU7K+yspJ8fX3J1taWUlJSSKPR0JEjRyggIIBUKhVlZGRIxrW0tNDUqVMJAC1btowKCgooNzeXJk+eTABo3bp15jwszAReTLFud/LkSQJAQUFB1NzcLKqLi4sjALR27dpeGh0zlwMHDhAA+vDDD43qKioqyM7OjgBQcnKyqK6oqIgUCgW5ublRTU2NqC4hIYEA0CuvvGK0z5aWFgoMDCQAlJ2dLarLysoiADR48GDJhXpsbCwBoISEBFF5TU0Nubm5kUKhoOLi4s5OnXWTlStXUv/+/WnPnj3tLqY4h5ihxsZG8vHxobCwMGpqajKqT0hIoJCQEFEZ5xAzNHToUAJAK1asMKpLTk4mADR06FBReU1NDbm4uJBSqTR63VJTUwkAjR8/XrK/8ePHEwCjBXRxcTEpFApycXGh2tpao7g1a9YQAIqLixOVNzc3U1BQEAGgzMzMTs2ZdR0vpli3Gzt2LAGgzZs3G9VduXKFAJC9vT3dvn27F0bHzOXAgQNkaWlJdXV1kvUvvvii5B+TuXPn6j9Va6u2tpYUCgXJZDK6du2aqG7Xrl0EgB599FHJ/sLDwwkA7d69W1ReWlpKMpmMFAqF5B+n5cuXm3zjxHrOpUuXSC6X09atWykjI6PdxRTnEDO0YsUKAkBHjx7tdAznEDOkUqkIAH3zzTdGdRcvXiQABIB+/vlnffnq1asJAL3wwgtGMTqdjjw8PAgAZWVlieqED5w9PDwkz9yIioqS/ND51q1b+g8p8/PzjeK2bNnS7gKOmQ9fM8W61c2bN3HixAkAwLhx44zqAwIC4OXlhfr6ehw+fLiHR8fMafLkyaiuroa9vb1kvZeXFwCgurpaX6bT6fD5558DkM4PBwcHhIWFobW11eiaq/3795uMA4Dx48cDAP7973+LytPS0tDa2orQ0FA4ODiYjEtLS4NOp5PcN+tera2tiI2NxZ/+9CfExsa225ZziBnS6XRISUmBQqHA2LFjOx3DOcQMDRs2DACQl5dnVCeUWVhYQKlU6svbywWZTKbPx7a5IMSNGTMGMpnx23JTOXTkyBE0NDTAw8MDgYGBJuMyMjJw8+ZNqWkyM+HFFOtWZ86cQWtrK6ytreHn5yfZRvglkJub25NDY2ZmbW1tciEF3L9AGwCGDBmiLyssLERtbS0ASP4xMCxvmx/CBdrdFVdTU4OioiLpybBulZSUhAsXLiA5ObnDtpxDzNClS5eg1Wrh4+OD+vp6LFu2DEFBQXBycoKfnx+io6Nx+fJlUQznEGtr8+bN8PT0xNq1a7F//340NTWhubkZ3333Hd5++20AwOjRo2FjYwPg/s1OhLzqrly4fPkympqaOh3n6+sLuVwOnU6Hc+fOdTxp1mW8mGLdqri4GADg6uoq+YkLAAwYMEDUlv3+3Lt3D9999x0AID4+Xl9u+Jqr1WrJWKn8aGxsxI0bNzoVV1VVhdu3bxv1aSrOsJxzsueVlJTgnXfewerVq01+AGOIc4gZunDhAgCgqakJoaGhyM/Px+bNm5GZmYnFixfjiy++QGhoKL7++mt9DOcQa2v48OEoKCjAkiVLMHfuXNjY2EClUmHChAmoqKjAsGHDkJKSom9fUlKivzPxg+SQ4c8dxbW2toruIthRnIWFBdzd3SX7ZOZl1dsDYL9v9fX1AACVSmWyTb9+/QCgw9uGsr4rJSUFVVVVeP311xEWFqYvF/LD0tIS1tbWkrFS+SHEAaZzS4gTYoWfO8pJS0tLKBQK3L17l3OyF8TFxWHw4MF46623OtWec4gZEk5nKisrQ0hICL744gv9B3nBwcHw8fFBZGQk5syZg+LiYri4uHAOMSM1NTWIjo7GN998g0WLFuG5556DQqHAyZMnUVVVhUWLFsHR0VHf/kFyoe3r2VEutM2hzsa11yczL/5mijHWrYqKirB48WJERETggw8+6O3hsN+wbdu24fvvv8e2bdtgaWnZ28NhfZDhtz8LFiwwOiNi0qRJ8Pf3R319PXbu3NnTw2N9ABFh4sSJ+Oqrr7B8+XKsX78eYWFhGDp0KBYsWIDQ0FAMHjwYBw8e7O2hst8IXkyxbiVcQ2N4nm9bwh8/qYtwWd+m1WoxYcIEDBo0CIcPHxZdrAv8Lz90Oh1aWlok9yGVH4bXZpnKLcM3VVKxpuJ0Op3+AZ2ckz1Hq9Vi8eLFWLp0qf7i787gHGKGDD+lDwoKkmwTGhoKAMjJyQHAOcTEjh8/rs+NRYsWGdU/++yzsLe3xzPPPIMff/wRwIPlQtvXs6Nc6GoOtdcnMy9eTLFuJVzzcPPmTf35xG0JNybozPURrO+orKzEuHHj4ObmhmPHjkn+Mjd8zauqqiT3I5Uftra2cHNz61ScWq0WnSYh7MdUnGE552TP+fbbb1FbW4uNGzfC1tZWtE2aNAnA/VO3DMsBziEmJlxfAgBOTk6Sbezs7ADcP5UL4BxiYmfPngUAuLu7m8yhwMBA3Lt3D1u3bgUADBw4EBYWFgAeLIcMf+4oTiaTwcfHp9NxRITr169L9snMixdTrFuFhoZCJpOhpaXF5AWQV65cAQDRtTSsb7t27RpGjRoFNzc3pKeni84tN+Tv769fZAl50Jap/HjkkUe6Na5///4YNGiQZBtmftOnT8fVq1dx4cIFnD9/XrQJb1g8PDxE5QDnEBMLCQnR/1t4I9mWUC78XuIcYlKExZEU4fTR8vJyAICNjQ2Cg4MBdF8uBAcHixbkHcVpNBo0NzdDJpNhxIgRJufCfj1eTLFu5ebmhtGjRwMAjh07ZlRfUFCA8vJy2NnZYeLEiT09PNYNrl69iieeeAJ+fn44fPiw/hsE4P6dtgxfZ0tLS0yfPh2AdH7U1dUhNzcXMpkMM2bMENU999xzJuMAID09XdROMGPGDMhkMpw9e1byolwhbvr06XzdTg+ys7PDoEGDJDdPT08AgJWVlagc4BxiYoMHD4a/vz8A4KeffpJsIzwn6LHHHgPAOcTEhPypqqoyeeOGgoICAOI76bWXC62trTh+/LioXdu4EydOSJ7BYyqHJk6cCFtbW1RWVkouqIS4MWPGwNXVVXIezEx6+6nB7PfvxIkTBICCg4OppaVFVBcXF0cAaPXq1b00OmZOly5dIrVaTdOmTaM7d+4Y1WdkZFDbXztXr14luVxObm5uVFtbK6pLSEggADR37lyjfTU3N5O/vz8BoOzsbFFddnY2AaCAgACjnCMiiomJIQCUmJgoKq+pqSE3NzeSy+VUVFTU6Xmz7iXkjbe3t2Q95xAztHPnTgJAQUFBRq/dwYMHCQA5OztTTU2NvpxziAlu3bpF7u7uJt+bHD58mAAQADp69Ki+vLq6mpydnUmpVJJGoxHFpKamEgAaO3asZJ9PPvkkAaA9e/aIyouLi0mhUBjlq+C9994jADRv3jxReXNzMwUFBREA+v777zs7ddZFvJhiPUL4YzRlyhQ6e/YsFRQU0LJlywgARUZGSv6hYX3LxYsXycXFhQDQsGHDKDQ01GgT3nS0tWvXLpLJZBQREUFZWVlUXFxMGzZsICsrKwoNDaX6+nqTfTo5OZFaraa0tDQqKSmhtLQ0UqvV5OTkRBcvXpSMq6+vp9DQULKysqINGzZQcXExZWVlUXh4OMlkMtq1a5dZjw3rmhs3bpBWq6W0tDQCQF5eXqTVakmr1VJDQ4OoLecQMyR8UDd16lTKycmh0tJS2rVrF7m4uJC9vT1lZGQYxXAOMUF6ejrZ2NiQlZUVrVmzhvLz80mj0dDWrVvJ2dmZANDChQuN4o4dO0ZKpZICAgLo6NGjpNFoKCUlhWxtbcnHx4cqKiok+6uoqCAfHx+ytbWllJQU0mg0dPToUQoICCClUknHjh2TjGtpaaHIyEgCQMuXL6fCwkI6c+YMTZ48mQBQQkKCWY8Lk8aLKdZjDh06ROPGjSMHBwfq168fDR8+nJKSkujevXu9PTRmBhs3btR/WtfRJuX06dP09NNPk7OzMykUCgoMDKT33nuPmpqa2u23vLyc4uLiyMvLi+RyOXl5eVFcXByVl5e3G9fU1ESrV6+mwMBAUigU5OTkRFOnTqVTp051+Rgw8/L29jaZQytXrjRqzznEDO3bt4/GjBlDDg4OJJfLaeDAgfT6668bfWtgiHOICYqKiig+Pp78/f1JqVSStbU1eXh40DPPPEMHDx40GZefn0+zZs0id3d3fd69/fbbkt8sGaqpqaFFixaRr68vyeVycnd3p1mzZlFeXl67cffu3aMPP/yQhg8fTv369SMHBwcaN25cu2Nk5mVBRGTuUwcZY4wxxhhj7PeOb0DBGGOMMcYYY13AiynGGGOMMcYY6wJeTDHGGGOMMcZYF/BiijHGGGOMMca6gBdTjDHGGGOMMdYFvJhijDHGGGOMsS7gxRRjjDHGGGOMdQEvphhjjDHGGGOsC3gxxRhjjDHGGGNdwIspxhhjjDHGGOsCXkwxxhgzsnbtWlhYWOi3HTt29Mo47ty5IxqHj4+PWfa7atWq38T8GGOM9W28mGKMsT6muroaq1atQlhYGBwcHCCXyzFgwACMGDECL730Ej755BNcuXLlV/Xx1ltvQavV4vnnnzfTqLtGqVRCq9UiJyfHrPtdvHhxh/NLSEiAk5MTjh8/bta+zam0tFS0KDTcTpw4IWrbdgFp7gVqZ6Wnp8PJyQl///vfe7RfxhjrDryYYoyxPiQvLw/BwcH44IMPMHXqVKSnp6O4uBjHjx/Hm2++iTNnzuC1117DzJkzf1U/NjY2UKvVUKlUZhp516nVari6upp1n7a2th3Ob8+ePaipqcHnn39u1r7N6aGHHjJabObk5ECr1eKxxx4TtRUWkIsWLQIAREREQKvVIjc3t0fHfODAAdTU1CA1NbVH+2WMse5g1dsDYIwx1nlxcXGoqqrCvn378MILL4jqBg8ejAkTJiAkJKSXRvf7smTJEmzZsgUxMTG9PRSTLC0toVarcefOHX2Zq6sr1Gq1UVtbW1v9BgByuVyyXXebO3cuzp49i1dffbXH+2aMMXPjxRRjjPURdXV1OHXqFABg0qRJkm3UajVeeOEFpKen9+TQfpeio6MRHR3d28P43QkNDcV//vOf3h4GY4yZBZ/mxxhjfURra6v+3xUVFSbbvfvuu0hLS5Osu337NhITEzF8+HDY2NhApVIhMDAQMTExOHTokKiPtrKysvDkk0/Czs4O9vb2mDJlCgoKCky2Ly0txbx58+Dt7Q25XA5XV1dERkbi6NGjJmN++uknTJs2DY6OjrCxscHIkSOxc+dOk+1dXFxMXvsTHR0tujaotLTU5H4MnThxQhRnuKDKysoyqisvL8eLL74IFxcXqFQqjBw5EocOHWr3uMyZMwdubm5QKpXw9/fHu+++i9u3b/fqtUyGqqur8be//Q1BQUFQqVRwcHDA448/jq1bt0Kn04navvLKK0bXah0+fBijR4+Gg4ODqLy9+Zm6pstwc3NzMxpreXk5FixYAD8/PyiVSjg5OWH8+PGS/wfGjx9vlBPbtm3D0KFDoVQq4e7ujldffRUNDQ1mPZ6Msd8xYowx1md4eHgQABo9ejRVVVU9UOz169dp6NChZG1tTYmJiVRQUECXL1+mDz/8kOzt7QkAffHFF6KYl19+mQBQTEwM/fnPf6YffviBCgoKaP369WRpaUmenp7U0NBg1FdmZiY5ODiQq6sr7d69mwoLC+m7776j8PBwAkDr1q0zisnIyCCVSkWOjo60fft2KikpodzcXHruuecoNjaWAJC3t7fRnHJyciTramtrSavVkpeXFwGgkpISoz6F+W3fvl1fdvfuXdJqtfSvf/2LANDLL7+sr2tubhbVTZ48mR5//HH65ptvSKPR0P79+8nJyYksLS0pNzfXqL/Lly+Ts7MzKRQK2rhxIxUXF9OFCxdo/vz5NGbMGAJAAEir1dKNGzeMX0QTSkpK9LFS8zS0cuVKfQ5JKSwspIcffphsbW1p06ZNVFxcTD/99BPNnz+fAFBkZCTdvXtX376uro60Wi1FREQQAHrttddo7NixlJmZSRqNhtasWUMAKCMjg7RarcnXa+XKlfT888+TVqsVbQUFBaRWqyXz5tSpU+To6Eju7u6UmppKJSUllJOTQzNnziQAFBcXJ2pfXV0tyol58+bRX//6V8rLy6Mff/yR5syZQwBo2rRpnT30jLH/53gxxRhjfciWLVv0b5pVKhXNnj2b0tLSqL6+vsPYSZMmEQBav369Ud2ePXsIAB04cEBULiw2HB0dqbGxUVQ3ffp0AkCffvqpqLympobc3d0JAJ0+fVpU19TURAMGDCCZTEY5OTn68tu3b5OnpycBoC+//FIUo9PpKCQkRPINONH/FhJSdURE3t7eD7SYEmzfvt1oMdW2DgBlZ2eL6pKSkggAxcbGGsWNGDGCAFBSUpJR3bRp0/T7fFDmWkzdu3ePhgwZQgBo7969RvWzZ88mALRkyRKjutGjRxMA8vT0pKamJlGdv7+//jiZer1WrlwpeaxnzZpFAGj8+PHU2tqqL6+traUBAwYQADp16pQoRqfT0RNPPEEAaNOmTUb7FHLiqaeeEpW3tLSQq6srAaCysjKjOMYYa4tP82OMsT7k1VdfxaZNm+Dk5ISmpiakpqZixowZcHZ2xtixY/Hxxx+jvr7eKO7cuXM4fPgwrK2t8dprrxnVz5w5Ex4eHrC2tpbs9/nnn4eNjY2o7NFHHwUAnD9/XlS+bds2XL9+HREREQgPDxfVKZVKREdHo7W1FR9//LG+/LPPPkNFRQU8PT3x9NNPi2JkMhni4+NNH5ReFBAQYHTXPFPHJTMzE+fOnYNcLkdsbKzRvhYuXGiWMQUHB4tuNtF2S0xMNBn75Zdf4uLFi/pr79p66623AAAfffQRampqJPcRFxcHpVIpKisoKDA6Tm3NmzcPq1atEpVt374de/fuhaurKz799FNYWFjo67Zt2watVotHHnkEERERojiZTIY33ngDwP1nppk6fXXu3Lmin62srBAaGgrg/imnjDHWEV5MMcZYHzN//nz897//xe7duzFz5kz0798fLS0tyMjIQHx8PPz8/PD111+LYr799lsAQGBgIOzs7Iz2aW1tjYqKCkyePFmyz0GDBhmVOTk5AYDRm2qhr5EjR0ruy9fXFwCQnZ2tL/v+++8BQP9Gtq3BgwdLlve2BzkuwhwDAwONFqaA+eZ46NAhnD9/3uQmtZgWGL52hgsXwfDhwyGXy3Hnzh2cPHlSch9dnYeHh4foOqrCwkIsXLhQ/1DltnceFMb6yCOPSO5PKNdqtbh48aJkmwd5/RhjTArfzY8xxvqgfv36Yfbs2Zg9ezZ0Oh2ys7Oxb98+7Ny5Ez///DOioqKQl5cHb29vAMC1a9cAoMvPa3J2djYqs7K6/yek7Q0JysrKAACffPIJUlJSjOKE9oY30SgvL293fL1xC+/OkDouwrd7bY9LT83R29u73ZtXCIsFKUKeSN3oAbh/K3ZnZ2dotVp927bM8Uyw5uZmREVF4datW3jzzTcRGRn5wGN1d3cXtR02bJhRmwd5/RhjTAovphhjrI+ztLTEqFGjMGrUKCxevBgjR45ETU0N9u7di+XLl5ulD6lvKToSHx+P+fPnP9A+ieiB++lId+xT0JXj0p3j+S3oyjFpa+nSpfjxxx8REhKC999/3wyjkmaOsTLG/n/j0/wYY6wPSUxMxA8//GCy3tfXF1FRUQAguhW48A3VzZs3u3V8hn0REQYNGmRy8/Pz08d4eXm1O76qqiqT/VlaWgIw/U3Czz//3KV5mNuvmWNPEV6769evS9brdDr88ssvorbmdvDgQSQlJcHGxgb79u2DXC7v0lgNy7trrIwxxospxhjrQ5KTk9t9hhEA/cX/hqdbTZgwAQBw5coVyWfoNDU1YeLEiUhOTv7VYxT6ysnJkawnIjz11FNYvHixvmz06NEAgLNnz0rG5Ofnm+zPwcEBgPQ1LlqtFrdv3+7cwLuZMMeCggI0NjYa1bc3x54ivHa5ubmSN204f/48mpuboVQqMWrUKLP3X1lZqX+u10cffQR/f39R/Y4dO/THThirqQ8XhPwbMGAAhgwZYvaxMsYYwIspxhjrc3bt2oW6ujrJusbGRhw4cAAWFhZ49tln9eUjRozApEmT0NLSgi1bthjF7dixA0ePHkVISMivHl9sbCzUajVOnz6NU6dOGdWnpqYiPT0dY8aM0ZfNnDkTnp6eqKysxFdffSVq39raik2bNpnsz97eHgMHDsStW7dw5coVUZ3UNVu95YknnsCIESPQ3NwsOa6PPvqoF0YlNm3aNPzxj3/EjRs3sHfvXqP6jRs3AgAWLFgAR0dHs/bd2tqKl156SX/NX0xMjFGbmJgY/TeNQp6dOXMGWVlZRvtKSkoCAKxYsQIyGb/dYYx1D/7twhhjfYiFhQVKS0sRHh6O7du3Iy8vD+Xl5Th37hySk5MxcuRIlJaWYtWqVRgxYoQodseOHRgyZAhWrFiB999/H1evXkVeXh7+8Y9/4O2338ayZcsQFhYG4P43VVVVVWhqagIA1NXVoaqqCjqdDjqdDlVVVfoFXdu2Dg4O+Pzzz+Hg4IBp06Zh27Zt0Gg0uHTpEhITExEXF4eFCxdiypQp+rGpVCrs3r0bKpUK0dHR2LlzJ65du4azZ88iKioK9vb2AKDvu7q6WjQ34dqs6OhoZGdno7S0FJs3b8a5c+fw8MMPA7h/ep1wKl1jY6Pk/JqamtDc3Cw5v8bGxg7nfvPmTf1pfG3bAsCnn34KZ2dnLFu2DElJSfrjsmDBgnZvDGGK0IfhqYPCPJubm0VthTkL3+wI8zSMtbS0RFpaGh566CH9bfg1Gg0uXryI+Ph4pKamIjIyEgkJCUb7Ffqrrq42mrfAsL+2r+W6detw/PhxODo6YuHChbh06ZLRZkjIM0dHR8yYMQOpqam4du0azpw5g6ioKGRmZuKVV14R3VbfMI+FYyWMp72cZ4wxk3r1KVeMMcYeSGVlJW3ZsoVmzZpFwcHBZG9vTzKZjPr160f+/v70l7/8hbKyskzGNzY20tq1a2nIkCGkUqnIycmJHnvsMdq3b5/ogaiGD6U13EpKSkQPiDXc2j74tqysjObPn08+Pj4kl8tJrVbTmDFjaP/+/aK+DJ0/f56mTp1KDg4OpFQqKSgoiNatW0eFhYWivh599FFRXGtrK73//vvk6+tL1tbW5OXlRcuWLaM7d+7oH9AqbC0tLfoH10rNISMjQ7Ju5cqVHc69bV+QeOivRqOhF198kZydnUmhUFBgYCCtX7+eWlpaCABZWFh0Oh9MjQcAZWRkiNqamrPUw45/+eUXWr58OQUEBJBCoSA7OzuKiIig5ORkunfvXqf2K/UAXql2wsODfXx8TM6lbQ4aKisro/j4eBo4cCDJ5XLq378/jR07lvbv32/Uv/CQZqn5t5fzjDFmigXR7/y2Qowxxlgf0NDQAHt7ezg6Ohp988YYY+y3iU/zY4wxxnpIVlYWjhw5IlmXl5cHAJLPQ2KMMfbbxIspxhhjrIekp6fjjTfeQEtLi1GdcCdFqRsvMMYY+23ixRRjjDHWgwoLCzF9+nRkZmairKwM586dQ3x8PFJSUhAVFYWXXnqpt4fIGGOsk/iaKcYYY6yHlJWVYffu3Th06BBKS0tx8+ZNKJVKDB06FDExMYiJiYGFhUVvD5Mxxlgn8WKKMcYYY4wxxrqAT/NjjDHGGGOMsS7gxRRjjDHGGGOMdQEvphhjjDHGGGOsC3gxxRhjjDHGGGNdwIspxhhjjDHGGOsCXkwxxhhjjDHGWBfwYooxxhhjjDHGuoAXU4wxxhhjjDHWBf8HB2vChOyxJQEAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='PSH_Power_stored',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.utils.scale_utils import scale_tuple\n", - "\n", - "time = scale_tuple(milp_cost, 3)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "Inv = [results_cost.output['Inv']['HO', 'PSH_Power_stored', i[0], i[1], i [2]] for i in time]\n", - "SMR_P = [results_cost.output['P']['HO', 'SMR', i[0], i[1], i [2]] for i in time]\n", - "PV_P = [results_cost.output['P']['HO', 'PV', i[0], i[1], i [2]] for i in time]" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "Inv_p = Inv[24*7:24*14]\n", - "SMR_p = SMR_P[24*7:24*14]\n", - "PV_p = PV_P[24*7:24*14]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import rc\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "ax.plot(SMR_p, alpha = 0.9, label = 'SMR', color = 'green')\n", - "ax.plot(PV_p, alpha = 0.9, label = 'PV')\n", - "ax2 = ax.twinx()\n", - "# ax2.bar(list(range(len(Inv_p))), Inv_p)\n", - "ax2.plot(Inv_p, alpha = 0.9, label = 'Pumped Hydro', color = 'red', linestyle = '--')\n", - "ax.set_ylabel(\"MW\")\n", - "ax2.set_ylabel(\"MW Pumped Hydropower Storage\", color = 'red')\n", - "ax.set_xlabel(\"Hours in a week 2\")\n", - "plt.title('Production Rates and Inventory')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "ax.legend(loc = 'upper left')\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'ASMR', 0): 0.0,\n", - " ('HO', 'AqOff', 0): 0.006454158406885114,\n", - " ('HO', 'H2_Comp', 0): 0.0231944569516097,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'NGCC', 0): 0.02287491903911081,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PSH', 0): 2.7772446822591066e-07,\n", - " ('HO', 'PSH_discharge', 0): 100000.0,\n", - " ('HO', 'PV', 0): 0.04338833172862552,\n", - " ('HO', 'SMR', 0): 0.0231944569516097,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'WF', 0): 0.028179260799955835}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.capacity_utilization(results= results_cost, location='HO', process='PV')" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{ASMR,\n", - " AqOff,\n", - " H2_Comp,\n", - " LiI,\n", - " LiI_discharge,\n", - " NGCC,\n", - " PEM,\n", - " PSH,\n", - " PSH_discharge,\n", - " PV,\n", - " SMR,\n", - " SMRH,\n", - " WF}" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_set" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "10.362694631925672" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']/(results_cost.output['S_network'][ ('H2(C)', 0)]*1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 185599.3198919055},\n", - " {0: 3431.5336408714957},\n", - " {0: 818276.7614658938},\n", - " {('CH4', 0): 29063.10490321607,\n", - " ('H2O', 0): 2.370237000000002,\n", - " ('Solar', 0): 0.0,\n", - " ('Uranium', 0): 0.0,\n", - " ('Wind', 0): 0.0})" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_network'], results_cost.output['Fopex_network'], results_cost.output['Vopex_network'], results_cost.output['B_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 185599.3198919055},\n", - " {0: 3431.5336408714957},\n", - " {0: 818276.7614658938},\n", - " {('CH4', 0): 29063.10490321607,\n", - " ('H2O', 0): 2.370237000000002,\n", - " ('Solar', 0): 0.0,\n", - " ('Uranium', 0): 0.0,\n", - " ('Wind', 0): 0.0})" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_network'], results_cost.output['Fopex_network'], results_cost.output['Vopex_network'], results_cost.output['B_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'ASMR', 0): -0.0,\n", - " ('HO', 'AqOff', 0): 6.454153406885115e-08,\n", - " ('HO', 'H2_Comp', 0): 1.0,\n", - " ('HO', 'LiI', 0): 1.0,\n", - " ('HO', 'LiI_discharge', 0): 1.0,\n", - " ('HO', 'NGCC', 0): 2.2874914039110898e-07,\n", - " ('HO', 'PEM', 0): 1.0,\n", - " ('HO', 'PSH', 0): 2.7272446822591067e-12,\n", - " ('HO', 'PSH_discharge', 0): 1.0,\n", - " ('HO', 'PV', 0): 1.0,\n", - " ('HO', 'SMR', 0): 1.0,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'WF', 0): 1.0}" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "milp_h2_max = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE}, objective=Objective.MAX_DISCHARGE, inventory_zero = {houston: {(LiI, Power): 100}}, objective_resource = H2_C)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 456030 rows, 403098 columns and 1308370 nonzeros\n", - "Model fingerprint: 0xd05383fe\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-02, 1e+05]\n", - "Presolve removed 403106 rows and 307601 columns\n", - "Presolve time: 0.46s\n", - "Presolved: 52924 rows, 95497 columns, 253174 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " AA' NZ : 1.314e+05\n", - " Factor NZ : 4.880e+05 (roughly 60 MB of memory)\n", - " Factor Ops : 5.891e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 1.41129502e+07 2.14008998e+08 7.53e+03 2.42e-01 2.49e+03 1s\n", - " 1 2.39798392e+06 2.61134125e+07 1.21e+03 6.66e-16 2.39e+02 1s\n", - " 2 3.76835180e+05 6.75820320e+06 1.25e+01 5.55e-16 3.19e+01 1s\n", - " 3 3.99131656e+05 1.41300031e+06 6.17e-02 1.55e-15 4.86e+00 1s\n", - " 4 5.10915354e+05 6.78097206e+05 1.26e-03 4.44e-16 8.00e-01 1s\n", - " 5 5.59636500e+05 5.67700317e+05 6.50e-11 1.60e-16 3.86e-02 1s\n", - " 6 5.61777581e+05 5.61779775e+05 9.70e-11 1.15e-16 1.05e-05 1s\n", - " 7 5.61778061e+05 5.61778061e+05 7.60e-12 7.86e-15 1.19e-11 1s\n", - "\n", - "Barrier solved model in 7 iterations and 0.93 seconds (0.73 work units)\n", - "Optimal objective 5.61778061e+05\n", - "\n", - "Crossover log...\n", - "\n", - " 12217 DPushes remaining with DInf 0.0000000e+00 1s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 1s\n", - "\n", - " 34178 PPushes remaining with PInf 0.0000000e+00 1s\n", - " 1921 PPushes remaining with PInf 0.0000000e+00 7s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 7s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 1.2445600e-13 7s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 46398 5.6177806e+05 0.000000e+00 0.000000e+00 9s\n", - "\n", - "Solved in 46398 iterations and 9.32 seconds (40.04 work units)\n", - "Optimal objective 5.617780608e+05\n" - ] - } - ], - "source": [ - "results_h2_max = solve(scenario=scenario, instance=milp_h2_max, solver='gurobi',\n", - " name=f\"results_slsp_h2_max\", print_solversteps=True, saveformat='.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'advanced_dict' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[46], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m advanced_dict\n", - "\u001b[1;31mNameError\u001b[0m: name 'advanced_dict' is not defined" - ] - } - ], - "source": [ - "advanced_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/blue-hydrogen.ipynb b/examples/multiperiod-examples/blue-hydrogen.ipynb deleted file mode 100644 index 3069ed5b..00000000 --- a/examples/multiperiod-examples/blue-hydrogen.ipynb +++ /dev/null @@ -1,1603 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n", - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n", - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "# raw_data = pandas.read_parquet(url)\n", - "# raw_data = raw_data.astype(\n", - "# dtype={\n", - "# 'core_metric_key': 'string',\n", - "# 'core_metric_parameter': 'string',\n", - "# 'core_metric_case': 'string',\n", - "# 'crpyears': 'string',\n", - "# 'technology': 'string',\n", - "# 'technology_alias': 'string',\n", - "# 'techdetail': 'string',\n", - "# 'display_name': 'string',\n", - "# 'scenario': 'string',\n", - "# 'units': 'string'\n", - "# })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - "# df_out = pandas.DataFrame()\n", - "# for i in core_metric_parameters:\n", - "# df = pandas.DataFrame(raw_data[\n", - "# (raw_data.core_metric_parameter == i) &\n", - "# (raw_data.core_metric_case == core_metric_case) &\n", - "# (raw_data.crpyears == str(crpyear)) &\n", - "# (raw_data.technology == technology) &\n", - "# (raw_data.techdetail == techdetail) &\n", - "# (raw_data.scenario == scenario)\n", - "# ][['value']])\n", - "# df = df.rename({'value': i}, axis='columns')\n", - "# df = df.reset_index()\n", - "# df_out = pandas.concat([df_out, df], axis='columns')\n", - "# df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - "# df_out = df_out.fillna(0)\n", - "# df_out = df_out.drop(columns=['index'])\n", - "# return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "# hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "# hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "# med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "# med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "# med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "# low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "# low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "# low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "# hig_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "# hig_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "# hig_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "# med_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "# med_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "# med_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "# low_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "# low_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "# low_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "# constant_df = pandas.DataFrame(\n", - "# data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "# param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "# advanced_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - "# 'PSH_discharge': constant_df,\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_adv_df,\n", - "# 'SMRH': hig_trl_adv_df,\n", - "# 'AqOff': hig_trl_adv_df,\n", - "# 'DAC': low_trl_adv_df,\n", - "# 'PEM': low_trl_adv_df,\n", - "# 'H2_L_c': med_trl_adv_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n", - "\n", - "\n", - "# moderate_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - "# 'PSH_discharge': constant_df,\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_mod_df,\n", - "# 'SMRH': hig_trl_mod_df,\n", - "# 'AqOff': hig_trl_mod_df,\n", - "# 'DAC': low_trl_mod_df,\n", - "# 'PEM': low_trl_mod_df,\n", - "# 'H2_L_c': med_trl_mod_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n", - "\n", - "\n", - "# conservative_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - "# 'PSH_discharge': constant_df,\n", - "# # no cons, adv\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_con_df,\n", - "# 'SMRH': hig_trl_con_df,\n", - "# 'AqOff': hig_trl_con_df,\n", - "# 'DAC': low_trl_con_df,\n", - "# 'PEM': low_trl_con_df,\n", - "# 'H2_L_c': med_trl_con_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 0.01\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=100,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=118.48, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, H2_Comp, AqOff, PSH, SMRH, PV}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[-8760:], WF: wind_houston[-8760:]}, price_factor={\n", - " CH4: ng_price_df[-365:]}, scales=scales, label='Houston', expenditure_scale_level=0, demand_scale_level=1, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, purchase_scale_level=1, label='full_case', demand={houston: {H2_C: 0.2740}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)#, inventory_zero = {houston: {(LiI, Power): 1}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 368411 rows, 315481 columns and 1001736 nonzeros\n", - "Model fingerprint: 0xf013156e\n", - "Variable types: 315469 continuous, 12 integer (12 binary)\n", - "Coefficient statistics:\n", - " Matrix range [6e-05, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 277508 rows and 233699 columns\n", - "Presolve time: 0.81s\n", - "Presolved: 90903 rows, 81782 columns, 280370 nonzeros\n", - "Variable types: 81780 continuous, 2 integer (2 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 25772 7.4279907e+07 0.000000e+00 2.796517e+09 5s\n", - " 30572 3.5985111e+07 0.000000e+00 1.300777e+09 10s\n", - " 34632 2.7560019e+07 0.000000e+00 2.303202e+09 15s\n", - " 37822 2.4923298e+07 0.000000e+00 1.812690e+10 20s\n", - " 40682 2.3528084e+07 0.000000e+00 3.882798e+09 25s\n", - " 43432 2.1916451e+07 0.000000e+00 2.068591e+09 30s\n", - " 45942 2.0839456e+07 0.000000e+00 6.918429e+08 35s\n", - " 48272 2.0367999e+07 0.000000e+00 9.234749e+08 40s\n", - " 51600 1.9435056e+07 0.000000e+00 5.935393e+08 45s\n", - " 54411 1.8585179e+07 0.000000e+00 9.335435e+08 50s\n", - " 56691 1.7978461e+07 0.000000e+00 2.657523e+10 55s\n", - " 58831 1.7704603e+07 0.000000e+00 2.616531e+09 60s\n", - " 61724 1.7158455e+07 0.000000e+00 4.966444e+08 65s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 125489 8.6885450e+06 0.000000e+00 0.000000e+00 70s\n", - "\n", - "Root relaxation: objective 8.688545e+06, 125489 iterations, 68.71 seconds (91.30 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 8688545.0235 8688545.02 0.00% - 69s\n", - "\n", - "Explored 1 nodes (125489 simplex iterations) in 70.03 seconds (92.49 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 8.68855e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 8.688545023531e+06, best bound 8.688545023531e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "13.031514383858058" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']*0.15/(1000* results_cost.output['S_network']['H2(C)', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('CO2_AQoff', 0): 1071.5087279675004,\n", - " ('CO2_Vent', 0): 110.28479515618412,\n", - " ('H2(C)', 0): 100.00999999999996}" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 0.2728434677116803,\n", - " ('HO', 'H2_Comp', 0): 0.029237405455602255,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'NGCC', 0): 0.20418790640051993,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PSH_discharge', 0): 100000.0,\n", - " ('HO', 'PV', 0): 0.4707966284361108,\n", - " ('HO', 'SMRH', 0): 0.029237405455602255,\n", - " ('HO', 'WF', 0): 0.1866493795376074}" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='SMRH',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='PSH_Power_stored',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.utils.scale_utils import scale_tuple\n", - "\n", - "time = scale_tuple(milp_cost, 3)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "Inv = [results_cost.output['Inv']['HO', 'PSH_Power_stored', i[0], i[1], i [2]] for i in time]\n", - "SMR_P = [results_cost.output['P']['HO', 'SMRH', i[0], i[1], i [2]] for i in time]\n", - "PV_P = [results_cost.output['P']['HO', 'PV', i[0], i[1], i [2]] for i in time]\n", - "# WF_P = [results_cost.output['P']['HO', 'PV', i[0], i[1], i [2]] for i in time]\n", - "Inv_p = Inv[24*7:24*14]\n", - "SMR_p = SMR_P[24*7:24*14]\n", - "PV_p = PV_P[24*7:24*14]\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import rc\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "ax.plot(SMR_p, alpha = 0.9, label = 'SMR', color = 'green')\n", - "ax.plot(PV_p, alpha = 0.9, label = 'PV')\n", - "ax2 = ax.twinx()\n", - "# ax2.bar(list(range(len(Inv_p))), Inv_p)\n", - "ax2.plot(Inv_p, alpha = 0.9, label = 'Pumped Hydro', color = 'red', linestyle = '--')\n", - "ax.set_ylabel(\"MW\")\n", - "ax2.set_ylabel(\"MW Lithium-ion Storage\", color = 'red')\n", - "ax.set_xlabel(\"Hours in a week 2\")\n", - "plt.title('Production Rates and Inventory')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "ax.legend(loc = 'upper left')\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 0.2728434677116803,\n", - " ('HO', 'H2_Comp', 0): 0.029237405455602255,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'NGCC', 0): 0.20418790640051993,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PSH_discharge', 0): 100000.0,\n", - " ('HO', 'PV', 0): 0.4707966284361108,\n", - " ('HO', 'SMRH', 0): 0.029237405455602255,\n", - " ('HO', 'WF', 0): 0.1866493795376074}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/cAAAIkCAYAAABbW9v6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9eZylRXU/jr/v7XV6mZ6emR4GxbjgMkCiIuLH5cPPRD+aoElAka/GLYqKxl2IC2LCBxVJoglG4xLFLahxReATRSQSNWBQUBQFERUQBIae6X1f7r2/P56uvnXr1nJOVT3PvXe63q/XvHr6qapzTu3nfaqep0u1Wq2GhISEhISEhISEhISEhISEjkW51QYkJCQkJCQkJCQkJCQkJCSEIZH7hISEhISEhISEhISEhIQORyL3CQkJCQkJCQkJCQkJCQkdjkTuExISEhISEhISEhISEhI6HIncJyQkJCQkJCQkJCQkJCR0OBK5T0hISEhISEhISEhISEjocCRyn5CQkJCQkJCQkJCQkJDQ4ehutQGdhGq1invuuQfDw8MolUqtNichISEhISEhISEhISHhEEetVsPc3Bzud7/7oVw2n88ncs/APffcgwc84AGtNiMhISEhISEhISEhISFhi+Guu+7CEUccYUxP5J6B4eFhAFmjbt++vcXWmFGtVnHgwAGMjY1ZIzsJCYcq0hxI2OpIcyBhqyPNgYStjjQHDi3Mzs7iAQ94wCYfNSGRewbEVfzt27e3PblfXl7G9u3b02RO2JJIcyBhqyPNgYStjjQHErY60hw4NOF6NTz1dEJCQkJCQkJCQkJCQkJChyOR+4SEhISEhISEhISEhISEDkci9wkJCQkJCQkJCQkJCQkJHY5E7hMSEhISEhISEhISEhISOhyJ3CckJCQkJCQkJCQkJCQkdDgSuU9ISEhISEhISEhISEhI6HAkcp+QkJCQkJCQkJCQkJCQ0OFI5D4hISEhISEhISEhISEhocORyH1CQkJCQkJCQkJCQkJCQocjkfuEhISEhISEhISEhISEhA5HIvcJCQkJCQkJCQkJCQkJCR2ORO4TEhISEhISEhISEhISEjocidwnJCQkJCQkJCQkJCQkJHQ4ErlPSEhISEhISEhISEhISOhwJHKfkJCQkJCQkJCQkJCQkNDhSOQ+ISEhISEhISEhISEhIaHDkch9QkJCQkJCQkJCQkJCQkKHI5H7hIQEKyoVoFYrVh8AVKt+eoW91Sqwvt4ok4JqtZ5/bY2vnwtRT7m+Qj+3LYS9uvqqdbLl0T1bXa2Xr9XqNgPA0lJzebUOtrroZHIgl19ZyZ6Jnzp9qi21WnPd5Twmm2z26soJmevrdd1ijKpjTbZbpMn2ivqJNPF7pdLc5qJ9KpX6/33mBhe69hVtsrxcfy5ssUHUUx6/QqZcdyCTZxp/pvaJDVu7qvoFarX6XBI/5bGtzl15HKljbX293r6Uua/OG12a3AdCvtp21Dms2mCbp+KnTnbR4zdPUMaM6HP5WeiemZCQcGghkfuEhA7DNdcAt95anL4jjwSuuEKfdtNN8Z2J7u7s56mnAuedxy9/9NHAZZcBxxyzB319Zdx7b10mBSMj9fy9vXz9XDz/+cA73wmcfjrwlrdkz4T+3/s94NvfBk4+GXjve92yhL179wLf+179+S9+0VinW24Btm8HfvSjxvJqO62t1Z/19WU/jzsOuPxy4MMfBp72NODOO4GBgcbyP/850N8P3H57/Vl3d0ZY/uiPgAsvbLb7298GvvhF4DGPcddTxZ//OfCJTwA//SkwNATMzmb6AeCVrwT++q/19RTteuml2biRMToKXH898OpXN5cXOO884P/7//Rpb3gD8LrX6fX29GTj7IILsv8DzWPtpJOA970vc9hF2qMfDXz1q8AllwB/8AfAf/93Pa2/H5ifz3QIPUccsXdT9te+lj3fuxf4yEfqejlzg4sXvxj4m78B/uu/srEMAF1d2c/h4WyM/t//C7zwhXY5//M/9Xre//7ADTdk7Xv22cD4eL2vu7uzoMGrXpX12TXXAHv21NP27wde//rMplotv3m+sGBvV3lOyLjuuvpcGhgApqeB3//9rP0+8xngGc9oLPeSl2Tj961vBV7+8kZZPT3Z+Pybv8nqPDdXr6eq9957623Y3w8cOFBPu/XWetrICPDrXwN/8RfZWvXZzza33d/9HfCc55jrDmTzVNRT4NhjgS99qfFZfRxnbfCOd2R1VvPkFYT98z/P5mC2n+SjQ0Z3tznQJdbP004D/v7vgR/+ENi5s54GZDZeemn+diYkJLQ3ErlPSOgwnH565pwXhd/+Fpia0qf9/u9nRCoP3H47cM89/HK33gpMTgLT09nytrzMKz8/z9cZAlHP3/4WuOuuxrR77gHuvhv4zW8yB5yKgweBmZn672qd5ueBxcXGPDqIEyFRvlYDfvazrM/3788cfZ0zOjubPV9cbHxerWb9Mz7eXGZmJiMVt9xit0mHH/0oKzs9nemVbbrjjuZ2FRDtevBgc8Bsbi67rfD979dvLai45x7gttv0aXfemf0zYX7e3qe//nWWLgfPfv3rTOfiIvCrX2X1lWE7MZ2crP+87z5zvpi4/fZs/E5NNc9l0U9zc9mYAoB9+/Ry5HoeOJDN6VtuyfpWPWleXs7m0t13Z+VEvYEs7y9+kZXj3hD52tfoeSk3EXRQSWqlko3Lqams3mow7rrrsrF7111ZnVWI8XnrrfZTYdVe2Q45bWkpG4/33pvZpJvHd9+d9bsNs7PNc+qWW7K66LB/f9aXpnrmdVr9619nuldWgF/+Mh8dQGMb29bkajULnP7ud1k+de+1tWFCQsLWQSL3CQkdhlZdu/uHfwC+8IXi9JVKfle0BU44QXO/tI1RKun7VlzPDYHvmBHlVBtKpfj6ymW9XOrtjVpNH5gxtatczoTe3ox8bt9Os4EqlwJht9wmfX0Z0TC1v2898wJFZ39/PQBnIlC6+lar2XOVtIr2UdtO2CPKcdvj2c/m5Y8BYaMgwqrNS0vAtm1Z+lVXNZe3zVNb/W3rrixTJ1/X7hy7bDDJVuvyi1/4yTfpE7eW8sD8fP0WDcUe+actT0JCwtZFIvcJCR0GivOkw/R0GFH88pezq5FFwccBl3HUUevYt69zPB1bfdvFYRN25EHuxXVttew73uEuK+wxkXtXOZO9glT5kqSQdtIRUxe5l1HkXDVBrFU+wQgZurYQslVyv7rq7q/QwKELocE0FaabI4Lcz83xZcunxWqa3DZqmvy7yV5f8k4BRbb6ik3e+mIidK1vl70iISGhdUjkPiGhw+BL7p/6VODd7/bXKf8sAqHkvlzuLEfHRDhiOJcmB93VPjbHnlOOki5O7kP6TLwGYJMhX+O+6SZ7fjHXfEhMrLEn91VXV0ZmKWNCfc1AtqdIwpKXrlotGzO26+amU95OWxtc5N4EW9vb3lMP+XgcpV1DTu6LRBH6RFAzBooORCQkJLQnErlPSOgw+JJ78R60L0wkx2WL/NV6rj5fuEhZO8KXRBYBbnDH5zTbdC2fA8rNB3UsUm8j+CBmfWRSSjkJ15126/6fJyhtS2kj2/VvExE11VFcy8/z5D4WXAGd5eX6x+64sJF7W9vkSd5tkG9rFAlV33e/G1e+bwBVh9A9b22N/42ahISE9kMi9wkJHQaugyO+Slyp+J8ShJxQnnNO9kV4H51hjk6to8i96TQxRpAipgMJ5HPyFuPkXgeKzJDXIULs5QRBqtWsjQQ57QT8/Of2dEHYXLCRe13gUOS3ndy3I7nXtUVXl/1PMZYdXpwpMEcl99z3u0PIP2WeusY+9cv54mOAH/0o7yN0f/iH9Lydhne+E/jTP221FQkJCaFI5D4hoQPBce7Fe/br63GvAFKxf7/5a+U2hBA98Z5vOzrwJoj6mr6+3gpCZwoKlErZKx6mr8H79JsgKTHeV+bIoJwItupGhVon04fiuLKKwsJC819M8AHng3oCJuLp+0G9VoAaiPCpi0yCbe/cc5Hn6TolCPetb9FkHXZYNnb+6q+yP83H0RcT3MArt22PPJKeV/xVhoSEhM5Gjn/hNiEhIQ/4OhwhJ/e2a+4UZ8PH5lByHkKEWoHvfz9zrtS/V+366FsIYrxzb3vGsTnkWj6njUz2+nz5m0MSuf0nZItyFFJKTSv6nfvY1/LlgIxK7l1BkHY+uddBttVnDJnad20tCySurTVf7c/7Wr4pveh38SkfvGyn/cN100W3PpiCxTYZCQkJnY10cp+Q0GGgOhzqu3OVCtAdEM4retMP/ehVp53cT02Z02K3ve879KHvp9tIeFeX/4kq1+HV2eRTp9ATYO61fDGmxS2HTnfEXW03Odn8d+zlsqYP6tnaRX69oRMg3rmPjbU14G//FnjlK5vTKG0T8ipLyF9PMAVsQmCrS6fPsYSEhK2HRO4TEjoMFIfjxz9u/opyyMl9KHyJky9sNw06Eb43H0LK28pRTrxMMJXt7XWX9YHQd+utwM03N6fbTsPyIu6+8lwf1JNRxJf8Veiu4LtO7m147GOBf/mX5vIiyGE6uZfzqQi5lp/3eqK7KWN7555ikymQV61me8TCgv1avs8793ley2/1B/VsML2mZEPMa/mUbzAkJCQc+kjLQEJCh4Hi4OhOelpJ7mOTSwo6ldwX/X735CRddl5X0AGgpyf8RoBN/1lnAWeeqS/v+869Le3rX8++N2EDJ0hC+cq7jdjmPRd+/GNgcDCuzLk5/Z+BEwGZctn8lzhcp7Ht+HfudRC3E0JfbdDBFDiw3RQIvb3jW9b2bYzQ9nbdJKDIn5sDHvjAMDtCYfvY5otfnAXflpaA++4zy0g3FRISOh8dQe7vuOMOvOlNb8IjH/lIjI6Oor+/Hw996EPxqle9Crfffrux3C9/+Uu88IUvxOGHH47+/n4ceeSRePOb34yZmZkCrU9IiA+fDTiU3BdNlmN8UK8Tyb2KGO/cm06HxAfGuOW4+ijlQwNPvifwISdlrnn4wx/a9VBeJ5Dfueec3Nt05eHAmz6cF3KDwEYkbR/UM71zLxPEdjy51+mTCXjMd+5D5oTIs2+fX1kdQm9qhcjxuWmkItaJeYxAxeQk8L3vNT6/6KLsz+H+y78Aj3lMProTEhLaA21P7q+66iocffTR+NCHPoS/+Iu/wPe+9z385Cc/wRlnnIF///d/xyMf+Uhce+21TeW+853v4Nhjj8X111+PT3/60/jFL36Bd7zjHfjoRz+KxzzmMbj33ntbUJuEhHD4bsAxTu6LJvchp2uh7+wfSrC1g80pNZ1chVzLN6VzvwNAhUzkXB+kMtkUmscHOmLq+lN4rRzvMQiSqaztY4emD+qZILdju0HXhqbvCrjKqWm2K/S+RH/nTrNMG0I+nJfHyb0LFHt9yX0eQab/9/+AJz+5+Xm1mo0l03csgHRyn5BwKKDtv5b/pje9CUtLSzj77LNx1llnbT7ft28fenp6cPrpp+OVr3wlfir9LZPp6WmceuqpqNVq+MY3voGHPOQhAIAHP/jB6Ovrwwte8AK8+MUvxpVXXll4fRISQuF7chdK7n/9a+Daa4FPfrLxeV6O3Fb7oJ4JIR98o4Dj2FOv5Po6rHnUkSLTV3eRjrB8LT/0nfsiQW1/znORZiO+prIhH9RrRfCEcnMkhCByyTJlDSia3PvCVM8PfhB43euAO+6gBwRj2RVjjNnGvm1fTMHwhIRDA21/cv+rX/0KAPCEJzyhKU08u/HGGzExMbH5/IMf/CAOHjyIk046aZPYCzzvec/D/e53P/znf/4nrrnmmhwtT0jIB6FEZP9+/p/HAYCDB/llgNZd0yyVah3prORhc9HX8m3I491hAdfpv43I2NJi9onvzQH5Q3Cxrx7nCd+r4a7ytg/q2dqp0/7OvfhJJfnvelfj86KDgnm2a1E6X//6utxf/jKu7FYirwBqQkJCe6Htyf2jHvUoAMDNms8ci2elUgn90h9q/fKXvwwAeOpTn9pUplwu4ylPeQoA4Itf/GJ0exMS8obvBi1Oq849F3juc+PblQdCT+47wYF3IY96yPLa6eTeF7I9LpLOPamMVVddoICr10XuQ9+jDkGs/qOmi5N7ThuKU1hTuf377UHMVrSh+u0FHUQ9K5Xsz9vpZOrmcuhrJ5wgGic9lh0xkDch5gRQqbbYTu5dOhL5T0jofLQ9uf/IRz6C+9///nj3u9+NL3/5y1haWsLq6iquvPJKnHHGGQCAJz/5yRjc+EzvwsICbrrpJgDZ1X0dxPPrrruugBokJLQH5Ot4RZLekC+gh9p5qJD7PEE5uecGAHwc8VAn2kY0XIS6yGv51OvgOlLHeVWlHZ1035NXHUmnvJ6wtNT8zFbuBS/IrmO3C+RbCK58AL/PTfLzvpYfgqLfua9W22sfCQnIuG6ttFM9ExIS/NH279w/+tGPxi9/+UtccMEFOO2007CwsIBSqYTqhof0qEc9Cp+UXgK+/fbbN9P27t2rlXn44YcDAH7zm99Yda+srGBF+vLI7OwsAKBarW7qaEdUq1XUarW2tjEhBKUN59a8E2ddX94YA9nPbN7UAJQ28lB38rqcrFy1Kc1OEP30lcslVCqccvXyQE26qlpvA3p5NLRdvihtOFWinWS99b5z9XmGxnLCdN14AMqoVKob15rVNH25SiX7KdrUZK9epvhZ2lifmu3O2kFtc0ofyDLFOJf11R3XxrQyarUaarWaND/qerP6mtu+VrP1SxmlUm0zTbTl+nq97Wq12oa9urFWQrVat7dSqc+JSqWxDurPuuzm/nHr9UPjWKm3QdYvtYa6N44neX1oLJ+tHTVlXIixoitXl1mtAq9+tWjHxnJZoFPXhvb+zPrAty0aZVHmmzxfMjSP7Wq1ttEWpc35We/r2ubY17WTrS3sa0fj2Gysg3u917ePeV0Qa45ettleuy+kr2+z3pq2fWh1ckO3xupF6NYj0xrQXL96eaA+jhrB36sT2h2JDxxaoPZj25P7qakpvOQlL8F//Md/4Mwzz8Spp56Kvr4+fO9738P+/ftx5plnYnR0dDO/IOAAsG3bNq3MgYEBAHD+Sbzzzz8f5557btPzAwcOYHl52ac6haBarWJmZga1Wg3lWH+fJaFtUKmMYXFxCXfdNY9rr+3Fk5/c/Iegp6a6AezG+Pg4gL0bP/dgbm4eS0vdWFvrwfj4RFM5PfZuzKsdALAhq5524MABLC2ZnYGlpe1YW+vG+PgkWd/4+DjW1kaxvFzF+Lh9nurKz83NYnl5DZXKAA4enACwR7HbXh6A0nb5YW1tJ5aW1gFk69L09AyA0U39c3NzWF8fxOLiCsbH5xzS9m6Wm52dwfh4FpycnOwBsGszbXJyCsAuTE9PY3x8HfX2aazvxEQJwGE4ePDgRp4DAA7bWDtHN/JMABjbLH/ffeOYnu4FsBOTk5OQx+GBAwdQq+3GwsIixscXGuyenJzC/Hw3gJGmMebqg2p1DPPzi+jvrwLYjgMHhL3jWF3dsZEHWFkp4cCBaQCHbdq0tLSI2dkKarXhJr3T09OoVrdjYWEZ4+PzTXoXF4dRqfQa5pI8jsTfY9+L/fvHN9MWFhYBDGrbfn19F5aW1jA+PrvZdpXKTiwsrGJmZhXA6GY/1Mtn/QMAc3OzUtr9MDc3D2D7ht3zAIajjvHGMVZvg5WVZczMLAMYxb33yvqy9p2f70W12o/x8YNNttRqezA/v4CpqVXI43d6egpra9uxvLyK6enVhjaYmJjA2towqlVgdrYXQElJG8XS0goOHlyAOu5XV21rTpanp8fdFlNT2bwxt+tebdtPTWXzRqQdPHgQ1eouLCwsbgShhpRyh2Fubg6rq/0A+pS0vVhcXMTKShlra2UcODDTUN+JiQksLQ1idbUbExMzkOfw5OTkxroATE427iUTE5MbbV/B1NRiU59T1vvG/UngMMzNzWN8XP6bivW6zMzMYHl5G1ZXSxgfn1LyHMDqarYHzczU29DuCzWOw/HxVW3aysoKZmeX0DjPmvs1uyXCn0uzs/JYyfq8p0fnwGdrwPr6TiwurmF6ehnyWJH3i+5uoL6O1tMOHJjA/HwfqtUhrZ3Ly9uxusrxDRLaHYkPHFqYm3P5gBnamtzXajX8yZ/8CX74wx/i7W9/O84777zNtEc+8pH42te+hqOOOgqf+MQn8MxnPjO6/rPOOmvz6j+QBQ4e8IAHYGxsDNu3b4+uLxbESd/Y2FiazIcgSqUShoYGMT8/gOc9T47G1yHiXXv27Nn8WS6XMDQ0hG3bSujpqadRMDxcH+9quT17xjA0ZC7ro2/Pnj3o7S2htxfYs6ePXE5gaGg7+vsXUS6XsXv3bq3dFBt8ynHR01PCtm11xjAyMtKgd3h4GF1dJQwMDGDPHn3AUoYoNzIyAmG6Oh5EQHTHjh3YtasxTa6vuP0g2nD37rGNciObeXZtCJDLb1QBOzf+VpZIy9akEgYHB7Fnz2CD3Tt2jGJ4uNEWtU4mZGN7EMPDmc1yn5dKJXR3A319GcEeGxtrkNnfP4ChoRrK5ezZrl0lTEzUNtpwx0bbD2LPnoEmvdu2ZbJt9om0jNwDu3dnv7/61TV0dw805JHlZOOiG3v2ZN+TGRsb23y2ffu2Dfsax4qoG1CfsyJtSJqkAwNDRr2+UMeYwLZt/dixI5vDou4iz44dOzA4WNps++byJQwPD2J0dFApN7oxjroxMrKtIW3nzl3o7c1uOIjtT6Tt2rVro9wAdu1qLLdnzx709ZXQ12dec8bG9qCnB7j7buCII8xt0d2tbwsZuvru2KHau3tz/A0PA3Nz5aZyw8PD6O0taWUODAygrw/o7UXTOrhr1y709ZXQ35+1mZw2Orpzc+24555Gm3bu3ImenhL6+3s2+1WuQ3+/aENz3cWf0FPzDA0NYc+exs1EXs/Uegrs3j22KVOsPXv27HH6QvI4VM0Vad3dfdi+vbfhma5u4hUQ7lzq62sst3v37iZbBHbvrq8BO3b0a20aGhpGby+0aaOjuzbW2JLWzoEB/l6d0N5IfODQgvx9ORvamtxfddVV+OEPfwgAOPPMM5vSn/WsZ+Gtb30rTj75ZPzwhz/Escce20C6l3Qv3AFYXMwiw8IxMqGvrw99fc2bfLlcbvtJUiqVOsLOBD7EB6F27MgcHV0fi0ciTfwslbJrmAcOZISIClmHqq9UKluvqgqCyNFXKpVRKmX14JSrly9t6lbbgApduU9/GlhbA17xCrZJVsjvkap6u7rKm3kobSGXF6bX+6Cs/Wl6Vv8zfHqbTDJd+rL1qdlu8aca1b5y9V32VfC6TNFO5XIZV1wBPPOZ9S+Hy2nCFjEvyuUSpqd1efRtr8rUWCbJ2qwNRkeB3/u9Evbvb6yfrp71sdxsS3O7yv2irg9yv+rLh0Dtc1lXvX2a7dX1mVpeHRe6flHHvfwVfVlfrZb9SVBTG8q2qCiXy/jxj4HHPc7+frJpHKuymvU2p2XtWrLMqbqt6jwV41rOJ7dFtWpui7oter26tm+sn3mtMrWPaV2Q20K3J8jjSJVt84V09VXT5PFrmy9qO1Gh9qttP63r1/enWhfd+qDONxldXdgIisljCpiergdNEjoPiQ8cOqD2YVv39I9+9CMAwGGHHbZ5AqRi3759WF9fx4UXXggg+1v2wnHZLzwnBffeey8A4Mgjj4xtckJC7hAfQfL9aFG1Ctx5Z1yb2hWxPxD0//4fcMklcWVSkNfXpbkfv6N+zIn6ATCubK5MSj5fezk6ZcgfteJ+tVrN344fzVMhr1U+r32a1jrKh+ZsfwrPB7UaIH2Gx5rPV34MOQKuelarMBJJEygfnwz5iKpNb+wv13Pbt9UfnKPot7WP64N6JlDGfEJCQvugrcm9QMmyWokoxu9+9zsAwODgII455hgAwC233KItI54ff/zxMc1MSCgMIV+S9ykX+mXkIm0VaCfi8/73A67PdPzRH2U/dQQuNvGVf7d/DNH+O7VcXmV0Mnzay0QaXGTClS6n1T/oRyempq/8m8q++912W3V2FQl1rIV8+d8UIKEEakIOsMTrFUXBNVbkMcgN1JnIPeWvS7jSbPD5U4629DxJd9GEPs8gp1h7bGt+0X+NICEhIT7amtw//OEPB5CdwJs+fvfLX/4SQOOX8U899VQAwLe//e2m/NVqFVdddVVDvoSETkJRJ5wxdfoghIC0E7EHgDe9CTBcJNrEcccBG0ueFtw6UfNz+pbyZ7BsJ9IcMhwTVMIRKyggy1TBOT3jntRff705b95z2CZfvCEX84PNtjYUadz2d7VvrZa9llMU5Dq45pwPfE9ybfA9XQ+Z+51M7n3WX9+gim+e9KH1hITOQluT+6c//ek47LDsy78f+MAHmtK/+c1vbp7Cn3LKKZvPX/e612HXrl249NJLcfvttzeU+cIXvoB77rkHT3nKU3DCCSfkaH1CQj4IuZpIuYLcDgi1sx3r6HKQTE485VTOF+L0zpau0607kbaVp9rS6qCMz00Frs3ytXDKtfxWvsIQQ2apBJx2WvZ/LkkwBZNsNzRchNh1cu9qmyLJvQD39Q2OTG75GNfyfW7J2PLkOR/a6eQ+1JZKpT3W2Tzwt3/bagsSEtoHbU3uBwYG8LnPfQ6Dg4N45zvfiXe/+9245ZZbcPvtt+MTn/gEXvjCFwLIyPzTn/70zXKjo6P40pe+BAA48cQT8a1vfQu33347PvWpT+GVr3wlHvSgB+Giiy5qSZ0SEkLhe/U4L7SLHbER+wrojTf66csDlCveurTQa/l5nD665FLyCt2mPoo5FgTB5QawYp3MtQLir/fkcS3fBBPxl7+iT9Gjlg8l9/KH/nTyuWm+c9n2PPa1fLXNfK/l28rmBWr7thoU0l6t+pH7GPWuVIBf/zpcjgnveld+shMSOg1tTe4B4KlPfSp++tOf4pWvfCUuuugiHHvssXjEIx6Bv/3bv8UJJ5yAr3/969pT/ac85Sm44YYb8JjHPAYvfvGLsW/fPrzrXe/C6aefjhtuuAH3u9/9WlCbhIRwhETeXe/bHYqI6QyGyPriF2n5fIixr0xuWui1fJfO0DqaAl/ymFeJiVxO95mWkHfu5T+XJvT5vnOvyjHZY8on/94u79wLUNpC90w31lzBz+VlgPjXhLSgvHNvq89ll9F1yXUJuVViOymPfZtLNyfEn2azgRJYiR1wpeim7pe+NnD61XddFRB1MdU3JOjiwve/DzzsYeFyEhIS3GjrP4UncOSRR+Jf/uVf2OX27duHz3/+8zlYlJDQWrTr+4mxEOvqYDu9hkCpTytOpTgf1BMIOfmxOZB51d92Wiqg+yq7qf7/+I+A+OusJpvHxoDTT29+Tv1a/g9/mP374AcbbbTZZUPe84AyVriBRdu785RvHejyrKz4k/sYJ/c+386gBnnUZ67x4jPfYsxT36v1su7ZWUD85eM8r+V3CqjtZ+s/W/Dk4x/PAmOve52/jQkJCcWg7U/uExISGmG7EkktWyRadUqYh95ObT/T6ZCLYOpOuSm6fMdmnuS+Vsv+XrOsT/0/Vf9f/zWtTUwEjPNaDbftBYq+oUOxz3Qt39Tu5XLYrROd3LU1oLvbfy5TTu5t48gWWLDdQtDdRuHMF+61/GoVmJ+ny3fpiQG5T+W/u56nzoc+tBg9FPjccJHBuZYv32Kq1YBvfhP4xjfc5XxtS0hIiIdE7hMSOgyhJKhoByVEX4yyoR+cUhHySkSR5aiI9afwVlfd+UKunIagWgW+8x3gBz/Q6xVzivPhNhfJU8txr+XbQGlfym2FosG9lk/5Ir5JFvfq8cYf3nGOUcrJvU1GX5+7PEUmJ9jjcy3/K18BHvxg/+CVDdybGJx8PgEPW5nHPY4uzwfcfg1ZO6gfda1UgKOOotuUkJDQXkjkPiGhwxBC7vN45z6Pjb+dnYlWXW/OSyZHn80ZFqfiOrJAdWBDAyAmMl6pZFdKY+oWJC+vr+X//u83vrPPhe/H6/IEd+2ZmAAuvZT3zr0A9Sq7wNwcrS9D/859V1dYeQFdW8a8lr+wABw86NbBlUtJN8EnaBgiN5b8WAhdx6m3qtQbG9zbRgkJCa1FIvcJCUxs/JGGlmFyErj6av+rz0Vf5w85eW5V2SJltkIn9fo2hxSIL5C36lq+Tqcg9LpTbMqrCbZ6rK351ZNCyoDs41N/8Ac0W3R5iib3lLGi9oPLpkc9CjjuON5JryyT824xJeAiTu67HV8rssmwlbVdy1dBCZTIZTknxK26bRVDZ2z98hgqom6hwRPbOur6oJ6aT5YZs+633hpHziWXAFdckYIOCQkqErlPSGDic59rtQXA17/OLxPyMa4QhDgGeZ/I5KmboyePkyOqU0pJMxEE+ZnQ98pX2vP72OGLG27IfrquqJuu5dvgup4dQspkm0xprudFX8s3nWi7Akm2Ni+X7e+W28aMqT9D18H1daCnx68s4FfWdRvGNR5cZNClm6P3C1/Id+3Uzas89YUGHSnyuXl9x4PvK0GUceSCXPYRj/CXI+ODHwQ+/elE7hMSVCRyn5CwReBDuARa8RX3PL7I3InI27H0eefeRpruuMPfntC6msa479fyxXMTSad8sV21Tfd37kMDLDrY+jWPMfXsZ7vzcK/KC3KvK+MiKdzgCKVNqCf3NnDKynVQbaZey7e1ge3VhhDCJG7MHCookjzmHajwzdeO1/Kvuy4LJunmwje+kaUlJGxFJHKfkNChKPI0vFXX8kPQbo5ICGK3IfUaK6cNy9JuwgkKUHXddRdw991uO3Q6xFeiTfpM9oXeqPAJCtjAOXVWHV759zzmhg+hc9lRLmeBGc479y6Ztg/tUd+5d52+u24UcMrZvpZPhcke10cJfUH9cFss5H1TIE8bYt1uktNc1/K5iH0tPxbm5rKfunp97nPAv/5r47P3vKc965GQEBuJ3CckHIKwnUx1wgf12hm+9aWSijycbRvyfOeeS5ZtePnLgTe+0a8s9eRe/rNXLvjWhTP/uCQo72v5tVr2oTUOQj6u1tVlDob4EEQK6XYRKNvJ/fp6+Af3qNDd5OAE6nxPcTmvA5jQSeSe2r556NMh5LUSytpjCkjKutsN1LY4++z2/CsiCQmxkch9wpbF4mKrLWgNOoGMx7Ax1hXvWGjlawYmB516IsO5Eh5yyuOqI/cEUsB2hdl24pXHXKFey9f1me7atQmHHWaX54MrrwT27PEvzw1cib/uwbleL19l517Lp8yxtTXzyf1rXgP81V+5ZVBhm6fUD+rJP116YiF2ANmFGAT8nnuA66+PY09eCD1BL/Ja/kc/2lw+L8jjrVQCxsfNeTvB/0lICEUi9wlbFoODzX/ypZPAvU6dNrU48HVSjj02TF/M/pPrEOvk3gbKldGQ077f/Q74+79vfI9YhotsuAimbT7ZbmToSId8cuSq89e/zpvL8nP1z+ht29Zomw8WF+MGRV2kzPZBPRvZ8Dmh57xzbyL3+/dn//Kaq6otIt2kb2ioMa9aPq9r+Xmc3FMDkr7X3D/+ceCkk5rz5H1aHfNGBeUr+C6SrpPhMx5iBrlcUNf3lRVz3uQHJWwFJHKfsOUxMwPMzrbaiuLQSZtb3k5mkXjQg+zpLof16qv9ddtIkI+j7CqTV7vb5NocOurX8mMiD1IQcgJ71FH56/cpQ7mWr8JGTCkwnUxSEPq1fO7Vedc797YbIA97mP12SMiX07k3ZfIEJXgYQ3ZR+8lVVwEvepHdFh1c6b7X8n1R1BV4js1Fj82EhFYgkfuELY1aDXjxi4Fzz221JXFhc147YXNrJ1IeCyFX1WdngR/+MB9bfL6Wb8tLIfexbgRQIX9QT/fTRBZjnRCqMJ3q2+TXasCPfmTXnfe8KfpPgokP6tlssZ1g6l6zsN20oNi4vp4FHYqE77X8Wi370OF//qc+nfJxP5854PtBvRjBmkNh77j5ZuBLX+KVodQ75Fq+D2wB15jg+DSd4P8kJIQikfuELY+JiezfVoHvxn3qqXHtKAIx31N3PW9n2Mg0lbCH6Gt1m1E/qGd6Hpt0FPFhqjz6IPafKqRc39Zdy3e9qiKelz08HEpgqsh32EOvzv/61/rntmAcRXbIX76gyLvmGrpek76XvKRNvwAnQdf2pjFmu8kB+H17RCfDZWMno1YDPv1p4KtfbbUlCQn5IZH7hC0NX/LSDvA9VfSt6759wAMeEE8eBYfaR/F8ZOd9vTt0rJicU1NaHu/cq/K5J/C+gRxbOqWeuvIqGeMQ4kPt5N52Al8u+5NeXZ+XyzTSHpvU2srL+nQn95QPQNrGTei77yb4nNyrbWt7VY7azhddRKtgyIn2pz6lf1c/BJQAkq6MCyHX8kNe4aDqLgLVKvCZzwAXX9xqSxIS8kMi9wkJhyBiE4Cigx8xgi55fIgub/zyl/X/C7upX/HmgOp0cUhvEVdjuXJtY0C119eZ9iV7pvZ62MN4ZX30+SLWOKSSckEoTB/UM41dW7+7gmih7US9DcMFJ4gm53EFmUICWKY0102ZQ+la/h13ZK/LxNJrW1co9Qx91UKXbrpN8KEP2eXYZMYER3a7BBkSEvJEIvcJWxqdRPxioeg6X3wxcNdd/HLt+Dd1Q9qOezoU+pFHSvtxT2N8TvLlZyEfVws5ZaTqLmpuFBF4ykN2nkEmrj7K1XzTtfxOWfdtZMz25x2psH23wGVTyA2Gm2+u/1+8W2569YJjky9CxnXouuF7+4QjT8D2ZyUpUMu+9rX+sopCrQbce2/990TuE7YCErlP2PJoRxJJge/Jno/jEEJGDh7M/jxUkYjhvLeaAHDfF7Y56Goa90/hcQMAPqeBvmNTBfWkknIKJk6rYjjg3PlqIje6vGtrfjq4CP1avs+6RDl9Nj3L44N6ecJ2e0GFTNQoNzlM64PPLRBXuotAvfe99f8/97n2vEXAVpei/QPTKblIs5VzIfRDhzodS0thNuWN3/wGuN/96r+3g00JCXkjkfuELY2tuNB3Qp07wUYuuE6iTO5jtwf1GqvPqX4rT6NVG6hBKRvp84UrKMC9yWF7Jv9ZNFu5UORxLZ9yOm+6lu8iZba21gW8Yt12idn2PqfrHNkhdTGluUgkxXbfgE6eN5GK2pco65GPLdz1kwLTBxtbCdn+gYHGtHRyn7AVkMh9QsIhCNPm7HuF0HYVsx2JuOwQ5+Fo+8D3yqyvTsqJqe29ZV25GAQ+Rn248L1mHBL4CLlSbkuT5XLapFUn9zbIp5TcE2TOKSOHGIf0OZcsUvO6bjbYZNvayefdd9t8EciLQJnWn1buQbE/+hrj5N5kk7jtUWSQohV6Qm6VJCQcCkjkPmFLo4jTxrzgS9JD6tpJ7dRuX9rn6vUlcRTE/Fo+pQx1nhXxNfZ2+tAiZ/3xJasxEXot3wTTumQjn5S2E7dfZIc+9ncdYsrgzkXOtXxfvT5lYpzcm1B0gLnomxpCXsjJve+NCp9AUDu+1ijXs50CQQkJRSGR+4QET5x+OvD5z7faCj1iEzYgn038i18Efvaz5uehQZdDaQOnnrRw+lz+PdY796HXYWP1Gfcr067TY59TZapeH1D72ZavFbcnAP14opAYzum9HMThXGnv7rbbYSoXki9EDuWGAkWWj62uPsvjdJRCePMA5WZE7IB5pZLPO/chNoXKL7LvbONPpBVpz333HVo+SUL7I5H7hJZj377W6Q5ZcL/1rcav/nYKfJ25PDanN74R+NrXzDpjoN03VRN5aYerkyZSFEoofEEl00USae6JlkxSimy7GCj6Wr7tuShvk63+P8YJZJHXml0IObm3tTslGOarV06PFYCirke+yPu2h4xaDXjrW81/LcU2/lyvchUdLM+7X0yyKbdKipzDe/cC11xTnL6EhETuE1oO+W97twK+m3OrThJk/dw01zvWPrpCUC7HPVEqAkU7SNQPffnKjn3KllegIg8nWvf/EDmcNK4Myi2AvOeMTx9QxoNtvTKVz+NdZ24ZFXlc4Q59jcT32w8hY8n1d+5j3xaINe7vucdffhH7lWvNotjQqls7RcJ2Ld+Eyy7LxxYB15xISIiJRO4TtjTycuptuPpqYHnZXy8FeRDm2KcBQmaMv9ecB4q2oSiCZtLLTTPlNd1EoJQv8oSMojvmyXo7OP9c7N6d/SkpAd2fZ/zAB4C/+zuzDFe/+ZJXyi2NkA/G+cBnDlOCNgDQ32/WRdFrO4HnwtWnD3mIPT2UhMa6mcNFHvtqEbeM8pRF7ad2uZYvoNpz0kn52JKQ0Aokcp+Q4Anf06MTTgBuuCG+PVS0A3EWyPNEGmh2YO++G7j33nx0Um3SPee+J66DzUmkXFO0yeSQFopDl1e/20i6q3183rkX6b626v5veqbL70siqZiYaLwerKvrd7+b/fOxIcZJuKmcSY/PR8N0cqi6Y6BW0xPmkO8VuMrp/q/K1Mneswc48US+nljQyTxwAJifz0d/kaTVtWa45otvADlGO7WL3+Gy4+qrgV/9qhhbEhLyQiL3CVsaoaelMRx7X/iePrXLJgvQ3h/0gclRP+207D3/ELSyzzmgXrf3GSuhp6x5n05xTzCBeFfOBShXymOPCYq84WF/mbo2En9ey1em7ZnPTQ4Koc17fYzVrz5BPRWh337gyo31agLn1oVrjP7xH5dwzjlunb5o1am5q1xoYIeCdriuH/PmxMteBvzrv4bZo0M7tFPC1kEi9wkJnmgnksxBO/2dV9c73zE37U6F7zv38jt+oSf3FIQSdxv+67/8ylHJi08Qw5dUccEheK6Tvcc+Fnj+8+PYJVCt6q/rc1HUKa5tTMQ4uefaRL1hoyun1oVTPvQd4JCgrC/ppMxTXZ61Nf99j/paiS9i376J8W0C1w0b6s1Dyo2ZPEC9eXLgQJy1ywTdXwJqBfbvL+O97221FQlFIpH7hC2NUPLYrtFYrlPbKuTxHn8sWbFOrX31hpwoA3Tn3eeUOwQ+16J//vOwk3XXqZZNd8jtEpeTaUqjyuL2T+hJnunkvquLL5dqj63vTITPh+BQ2yaPr+V/+9vZPy4o/W3KY7vBFDpuY9ywMUHX/nmuydx5GlMfJx81uBrjNaPHPMadx4VW+yG1GrC6mq+ORz4yX/lU3HRTN972tkT3thJSbydseXTq1/K5yOtkNUReXu8z28qG2tuuUOsl/91uGzn1IVjcNozl7FPSfa+I+3xQz3fshvwpvNC2jD2nKNfyxekYNdgi64sx1mS9IeQ8L9J6wQXZhwl1clzjyEU+TeVDvz0S+tpUXjpbQRqL0tnq4EKsQFpscPcnYbPu1F6uT8wv3Lc6mJGwtZDIfcKWRuiC22l/Cg8ATj01vi2+yONPsbUrqA6HOqZ8yciuXbR8sV+L8D2NBeKNTZWwu4h4XoEvm64Qfaq9HPtjB7dc1/JLJffJviv4FDNQkefV+9D5wr1F4woS2eTJfcIhR66xFov0c+SEztuQAHPoTQ7fwGmeQdkib0bkDdu80X14U+S/5Ragpyd/+xIS8kAi9wkdhWo1n78X6uuUtetJri3CPjoaR14MuE7XYzhtqox27TMVMR1W30AQJa+OYPr0X+h1Ui5Ue/P4U3jU8rECDyHtc9ZZwKteZc/jS+7lWyQyfE+dbWVsMl03B4r4Wj5Ht6vvQ+aXepuCIztWgMSXzPvqC5XtM0bzsoWTJiOP23A+aIeAgbpuyTbNz9d/X1kJ19UpfkfCoYFE7hM6ChdcADzzmfHkhRD00LIJ+X0tPwZcxKEovb4f1KOiiJsTMknJ+0SOS9Jt5cRzH6JD+XNsPidkIadv6o0GGbfd1vg37an6ajX3R6lUcq8b41ySyTm1prQ9B5Q24crzvYXgG0yj6LP9xQeTvlj7qW3+mOyh6HjHO5qfx1hf22FPd61VlACqTzmKPp2Mk08GrrjCTzZVry1NR+51V/b7++PZlpBQBBK5T+goLCy0zxdIWw2fTdx3k87rY3y2a/l5OUvt4IS1C0olYHnZnY9DQlv5mkVeJCdv+JBB3e8hhM0XlK/l+54Sx36fN1ReHre15JsjnDWdetPAlEf0CfcDdUWdktvyhNh33nnNeUNuKRR5LV8eJ5RyvutKEetnrQZceilw551+5VVZPlDXLbF35THPExKKRCL3CW2Dk04CbrzRnqevj0ZGqAjdlNMGENaGrpOhEJRKtWiy6jLjyXLBdephy88p//GP+8l05S0ST34y8IIX8MrIjqyJXIXWl3vqSZEVQlBD/uKASb7Pn8LTtYFPQNJ2S8PnmnssxJKf500OV8DFhiKu5fve8BkYCLfLVKYTAsOUm14hJ/FTU836QvSYXtkJAXVdUW2XA9PJt0voZCRyn9A2uOwy4NZbgS9/GfjjPy5Wt++m364bgO0kLMTBiV3fVlzLp8ptJ0cuz3H27GcDw8P5yZch3l30CejE+sp5Uf1KuZZvg42ImtJaUU/K1/JbcQvHdMIbYqurHjHJuADlry6YZNt0lcv+X5+3jc2QL9r79o38fGQkvl4XYp/cP/7xwPHH2/Oa+tp2s8E3+CeX+8Uv7DJMaJf9lNKGQPv6dgkJFCRyn9BWWFwE7rsP+O//ppc57jjgxz/20xdCFlpN7luxWcbWGfuKsIp2cSg4UG2O8c49x6mdnAzTZdP/5jfHl62C+s491Rm23S4JJXsqSaIQyxhEwnc85bHe2V75oQT/KIRW1866cjECf9w2su0lVCLiMybKZT8SyNH1rGfxbKLI5rYTRX7InMpjTuzeDRx+eHy5VNjmnOsvX3B1rK3Fk2X6nQo5UMm9jZSQ0E5IwzehrbC6ar96r3P2fvzjLCBQNNqZOHaKE+PzwSYuYm38se1wpYc677711H0ZmEJCKfrm5prH0eqquxz1RNRFxm1lYxPevP8ShK/MPG7fUNMpJFst6xtYMQXF8jy5N70P7YJt3FJsopykq2l9fXb5IQEMUfaSS+zpvrcYQoLy7Y6Qk3cBW+DLJ6Aul+OQXpee7m5gfR245hrgE5/g2RRig2n8ytfy8yb3V12Vr/yErY1E7hOa8Na30hzuPFAqZX9b1Gfz8YGvUx96ct8JToaMvE7Y8z65zyMgUXTfUdso1mlbnvAN5Li+s6EjkC69Ku65x52HK9OEvEhKaECIoyu2DI4T7oKJZLveD6bqi/11dcrJvY8dtvJveEPca/lHHUWziYrYX8vPaxzH/qCeLJdTLu/1X8hQSW+Mv45w2WXA+ef728bVa9pzinzn/qlPzVe+jFotvWOw1ZDIfUIT/uEfgNnZ1uhuFxJCRbtey7c5DLFPgUNJTsgJkQshhKGosUg9hSwKXIJIuXGgPqO2rVzedbJJPaU1nR4vLJhPunxBbUtTO5lkUfRx0vIGZY5zTyttNyNMzrvvibFcvsivo1Pk+JaXT+5Nsjlpt9xC1x17LHLnWTvD1q9F7kmm3znX8qn9EjvIH0MWdd1Pf70poR2RyH2CFuvrrbagGIQ4VqGOf54IvdanQ6ddy+e8k9tOUOvu+859ns6Sy/HM65YHNx91HLn+fJ9PfSgnb9de69ava3sKaW0lOXCB2i+Ua+7coEeea3aM4AEnjfJBPYpN3ABK6AcU5T85ZgLn6/mU9vYlkJRynIBlLHDWZDVI6oO83kXPI2BG0ReaR+CRj6TrTkgoConcJ2gR4yMnvmiFA+p7mr1VruUD+dhs+6hTpyDvzT3vVxc4iG3HS18aTyblxNZWlvNc1ceBvG786lc0+2KiFa+q+BJM36CWKEc53Q+1UUWozZTnqj22tiv6S/B5B7x19riCc6ay3MCQqZ3zuMmRx2saFBlcHb5BF8o89QU1yGkKhpVK6YN6CZ2NNHwTtGjXk/s8NoFWn4r6wtcJbQfbBShfwy4Kn/989tcaXFDtapdrebH6PHR86OaU6eT005+m6XURL1mm6f+tuMFB1aE7yaQ4/UXXIdaczHs8UkivDq14/UUmFNzyvh/wo9rmSsvjhoIAhzTGsMkXRe9TnICVLo9NhprP9LsPXAHUdvJLgHwDDgkJeSOR+wQtOu3kvlWn/e16LT8PFH0tP68+NdXjqquyr7nLNugQ2y7TtfsYJJuiO1SGLq/LifQhMiF5Q09Abac/JsT+IJgtv85+H5u5egV8xxGFlMUcK6FEQibUoTZQ5KoBABWUa/kuO2TZsdY2qhxOO9n2BN+TewraaY/3DWJwxoWrvt3dvPw2m+ST+5i3H6h6XTbFRqUCHDgQX25CgopE7hO2NEKcvHYm99wTq9i6qCiV6I6ZL2KeQsT6uBo3XxFEn6I/FgmI7WTL5MjmuNl++toZci2Vm49qkw1ceyn6QshCKLik1zU+OgmUdi+auIdcDfedb3mSe9c8bcUHFm2BsNBbDK41oL8/TJYORV/LF89tdc3jWv7llwN79sSXm5CgIpH7BC1aRVpDHcki0WpyH3ra1w7I+4osl9R2Wht1CmwEg5LG0cEt5wsXabKd+Kt9qiMnNqdf/N/n/dfYbUMZnxSiaUoLCcCGpIfIDA2mUcu5yJwvWaae5nNt7+kB9u+n20HN4xso883TKvj2tdqXMW9sUWGyN691iWqHCbY2+uUvgb/6K77uVv2JaRnt+sptQlwkcp/ghXe9C7joolZbEY6tdHJPSSsavleeXYjRN61qJ9NX/l2gkEGTrhjI+5Qm5PsMvvMh5hjgON++svM81Q8B5aQ2FiGmECBukIkDahuqdtqu5Zvssq0V1Dlh0xH7g7Hr68DSkj6fumZz+iHP218xPlLHQRFB5pjyQ/6KQaxr+Sa9rsMD3Xyj9PcttwAf/Wi4fa1AT0/rdCcUh0TuE7RwLXCXXQZcfXU+ulux8Pme4rTr1/Jjy8/LXte1/BC9Jmc95Fpunv3WLoEiLgnlEJIi6kj9fgGVWLoczxhrAIWcxBh71JO7doIv4TOVC7ktZCLhHFBvc3BsoqRzgwO++lzlbN/zocpW81HnDyXIxLWpyCAy107u6XjozYhWIY9+teWPcfiQkJAnErlP6Cikr+X7I6TtJiayn7Hrnde1/BjvQYfkCUEs+VRnJPaJcgwnkyJTTXeRrtintq4TNs7Y5hKvkHHKJadUYvyEJ9Bt0f3OqZP8M/bpPHWsUeykQNSB+1FNyrigEn/bc+6cco2vV75S/zxW0DUmoaOU971pZdOR920B6ndJKAgN9oQcknD0mH6npsW0Je/vDJn0Hqr46leBn/+81Va0FxK5T2g7+CxErVi88t6UKPo5aSFtdOaZfna4kOfX8vP6un9RyPO0RD3Bjf19g9hzmEuoYpKc2B9RpJLOPNa0PK/dn3QSsGuXO5/6e9FrKOVL2Sbkuc/YbiiY1sOQa/k6xKifS+9995n1+X4zgkKWXK892J65ENJuHBtaRUxjBGVNY9RXNlVvjHzcvKGyDh6Mp2sr4PWvzwh+Qh2J3CdoEXIy5ItWEOWQqHOryb0v8oj4h8jLM4rNCRJQCWEr30v2KQ8AL3oRT5aPjiJk+vaJbq7GaIuQ03n5d59r+TrHmFonzhgO7R/XibRoR58T99Ar9rHh064xg2K2oIAtsFLkSa3tZD8kCJcXit7j1cCrKQ+H6FPXB58bA6HjQeiNHSCxoVXf46Ge3I+N+cnPE+rrNBdfDPzDP7TGlgQ3ErlP8EK7nlh3IubngU99Kq7MWCc5FLkhiP0hHYEYDkdsuGR/5zv+ZV1llpcb0/J2bvJ63YLSDrJ8+f/Dw3yZLqfYd7wIu8THjTgOs82x9yVH1HQfUOY4Jwgn8ss/1TTTV+Rd/fnVrzbPFZ3ekGvNMU9qKSf3sQMGVNt80ij5dONJJks2e1vRFr7gjBOOjJBy3LWbE2zM42SceltDl5anj1v0tfwY6O1t/P2qq4DPfa41tiS4kch9ghaHGoE2oVUn97LeX/0KOO20MBlFIK9r7jYHPQ997Yof/Sj7yT2F9QHXwQ51Km1yQr62rMuvu95cqwGvfnXjtXEb+eMgxP7HPz77KZw9jk3ck2nKiaAPQoM1vq9bUL5JwBlvIu/8PN2eWDCNW2rZmHb45M+znJrnxhub87jIEifQ0QmnwL7fZwgJcORxui5kFn0bzpUeI7BiKx8j+NVqdHV1ZpBiqyCR+y2Oubn2er/Hd/OJodenTLuSxaJOEkJB/QhaCDibah7OX2g5oHXv+sdKo+R1lae2gakfu7uBwcF4xIlir4t4+pIcTvCEg5D3tDlXetW6+BCHkBNlW54YDit3jJnaQN5jKIEKXflYATr1OfXr/qY+98H8PPDrX5ttMiGEnLrGdR4f+TXJlethI8tFBoZD9kPfgJbLJt+8rvkWCorMPAhzXr5bIvfti0TutyhuvTWbmO94B3Diic3p7Ro9bKev5bczubeh6L59+tOB5zxHn5bXtfy8XkFoVX/7BB1sxLJV7xxyT5xi6bM5vC5nOFaf606ddWm632PpbUX5UBmmmxhqmq6MLt3kvOc5DimyYl95dpEUSrDI91ZK0cSoUsmuCN90U3y7ih4XvtCtY7ECO3kHtIu8lq/mCX0eG+0wlmw44gjgzjuBcrn9bd3KSOR+i+IRj8j+dES5DCwu+snIa2LntQHHRqvJfdHOles6q6/MPEkoB3k7cbFOzmKgaNk2YsuRSbGbc8LP1e9b3gXOB/VC5oavzc95DvD1r+vTYn1DwYeIuBxx008fmXJ63t+N4JCrkMAVxTbKPuO7tsVcE1//euA//oMnj6vDdloeSx9VvylfzNecKKDKtAUe2jlonkc5W3l5LxB/gridcPfdwNRUxh3SyX37IpH7LYy1teyDTupXMAH6qUBMmD6ElSdCFmnupnT11Xq9edS11dFnKvK6lm9ygor4gvZllwF/+7f0/KoDXmQfUU/SbU6JLs2U30VEOLaurtKuALuQV5DM511yrqOsns5SyJnPenP55frr0KoOat+qdfchJJQTeIo9vuTKls4df7b5YtNt63+fL59TwA0u6YJSrQiscQMdXH2t3lvFPNLVk7MGxKwHZU33DfT46rWN31YGGmQbBF71qmyfazdUq3HJ/RVXxJGTUEci91sYq6tmct/OaGX0OQQnnNA63THga6fNmYt5He+ee9x5imjr//kf/VdkY57u+JaJeVIWghhyK5X6/12BQdlpi0XmuQ6/7qSKcuJqcsypgbFYfRhj/MZse1t+n7/WEKudfG6O+JAKLlk1ET7uF8VdeSjj0qetqcEKzhhrR9KeV7BRLk8NUul+92lDF/L4WJ/tuStNl04JGsaATJhjkefYAQtB7mO1w5/8SRw5CXUkcr+FYTu53yoIieS3mpT7bFx5veNug8sJN5FQ7oZ0//vr5VMRy/GLFdFuFyLO1aXrO18ny+aMmj7GZBpPHHIj5/E95crrQ1s2vaE3U3wDQjH+aohvnWwybTc7TGPLNndtp34hMI0zzsmnLn9oAMAk05Y/ZM0FgHvvBe67j56fqpe693HXqjyIaaygQ15BlBhQ56n4/UUvyk8PJy0PcIOcoX7mr34F3Habf3kTqtX0Qb12RyL3Wxjr6+a0VkW024E0F41WXwOjomg7W3HiSHGmXYi96eU5H3z/pJIrLS+bazXgyiuz97+pX+umyPQhvb76bDI5626MVyq4sJ16c4IgnJNAU16bvi9+sTE/pZzvqaZvHjWv6Yoy52v5urSxMbotOrtc8il51Ty2/C95CfDa1/KCra30GfIM4vmmudqOG7AMOQSxyRBjXrbns5/106XTm9f+FnPNVxHTd3jta4G3va0UfX7EPrmPhZtvBj7zmVZb0R5I5D6hLaAuaLEcdxd8TohDyhUF20lkUboEKCcqseEzfmK1jWnTs51Mch1lCmL2ta8s09fKfU8pAeBjHwM+8AF9HhNBi+mwcspTT6PztIUj2+eVBl2Zr36VrlPIkGX/4z82/j1z7umxCaHEfH6erosrnzsGdLcQdHlOPBHYs4cX+LGRI4q9HKLJLU+VoSvj0/atOOgI+V5CjLWAIyMG8Q+R41OW8ooWpTwHvm3fbgQayGxqxw/qXXFF9mFNwHz7Z6sgkfstjpD3D2OSsoUFnu52QCuuuMvolHZygUqAYshUn197LfC2t/FkuPLEOrlvRSAmLxt0cv7t38LKq+/ZhziZnKAAFaYr0xRiqrNJLecTIJFtyxPyn77UBa5cp+Rvfzvwve81l6fAJVtN4/Tx855ntykk0GDrTx9iQPkOhZpGIdKhwVyXrDyuuYeSOZvsULm69nXpMfWT7TWUPPbTWOVi+1K+wSXquhC6ftpky75DjDbJw48QJ/fyd2/ywqtfTc/b1VW/kbx3bz72dAoSuU9oG7icERvy3nxilSsKNsLc7rYDcTc1m6zrrgPe/36eXlceU0Q775MJH2IR82NaHFJVq2Xv1lL1Ac22cm5ndHU120CF7bsQochzLnKCCbF1ynjSk2ivgFH6NtQuG8mhjN+5ORq5DSH5nGexSKsPYn7pXO372Puy6HdKINn3FDg2Qm4v+gYhfMaT74m00OfqmxDkFTCIife9D7j99nz05DU2xTv3eesBgI98JPt5773Ayoo9b1cXLeAgAseHMhK5T9CinQlgu28C7YA8ThjyQp5X5VXZut9jOagCXV1hJ/exNkpOfag6Qxy5GGVczruKUgno7QVe8xp/fXmNT9+AQa2W1Uf+E0muEz0ZvmPet65lgpdBPbXmBJBc/RayRub12pjPKaMrT159zT0BdfWLeC5+9vW5baDYUkT5onS7grK2QGRIUICbhwLZplYdOtgCDnno0sl985uB66+v/676Du3os7XiOv5DH+p+n55K7p/85Dg2tTMSuU/wRjsuOly06uS+Fad+MUhjHu1V5DhSddk+CuO7gZmu5XOJcR4nrkX0H5WM+VzfdZ0sqfpqtex94/5++4mtq118iDjlY2c2fZT38otYA/Jw+F3Enepg+5B0V7vGWKtatd6pJ+C6/+vycwIALqLoM691/bhjB90mWbdtPHD6mpon9u2JIgk2Fa7Aga0cFTFfG7AFkqjBsDyh80N0abH8xNh1yoPcu2SurWX/ajXzCT6V3G8FJHKfoEWI4+oDeYPslKBBO19xj0EEQnTJ8HEEKadvVNjsM70XDQAXXOAnu12+IpsnwQgZX+oJHUWPS59rLtZqzVcJOYjxdWRqXVxpMd5B931nPM93TU396eOgm/JRyhUVuOWMbRNEO/nYTF1jbfZxAyucdErQkCrXRcCp3x3wrW8s2NYTmYCb7A0JVMSeF7HmG1evb7k81wV5/G3Vk3uXTHEj8utfB37v98x52rG9WoFE7rcYvvWt5medNBliv//qOoWwlYuFvD9upSLE9rzehfVNj2mDquvAAT95eXxFNtaVSq5cXweH06+cVwIogQH1xFL8vrYG9PTo+9vXGbbZQgk42J5xnGFqnXzqZzu1kxESALG9PkN1im1pHKLo6jPbnpEXATKlUW4h+JAobj04gSNTMIJyRdt3LLjGcOieGFLe1mexwPFzbOtLjO9JyMjL9wkJ/uXpj9nsmp0FfvELWhCLgzzqk8e3Plw+k/iA39wcMD6uzyN/W2erI5H7LYY//uP6/9uV1BdNdluB2Au4Tb5AK6/ltwKUNsjj9kXotXxd/iLbPc8TChmqg8AJCOj+L3+cSYf1daC7m2abSa/uues0cHUVOHhQnxZKNnyCPrGuVKtlfJz+0MADRYf6zGRvrDmWx5riEwTlfPCK0h/yc5+r9y698jwOQdFtXySo/UOVEQPt0D4+bRGyH/vCtldcdBHw6Ecfmv1Dges6vTi5t33DZStwByoSuU/QgnqiExPU05qY8NXjcxoSG0VvTnlGgFVwHUjT17hdJ1vyFXrKiQnlPeh2OcmxncDkMXbyJGoCujFxxx2NOnTtVavVT+45NoUSjloNuPBC4Jhj2svJimlL7BNh2ymrOn5NfR1iR0xCQJEROk/zrAu1HziyKSfo3MAmNY+vrCL3e9/giS5wpaaF9Hls5N2mExPA6Gj7rLu2MZ3nrZI8USSZFjciKR9oTUjkPsETeb1z3yr4LKCtttmGIkhnDMRypG1RX19H0xexXx1RZfzP/4TLCdEv/9SBcj02D5tc9qyt6U/uQ4Mnrmv56+vZlUu1nKzX1q6UNs+brFL6jDOXVEdXLcs5dabqMcnLKxBlwqc+ZdbD6SvdXDK1oU0m95sGLttCv+eQxytIeVwjlmXH3lfzIHoCvt9YMH3fgTpmXXMxdsBxdTX7kCrHJm5QKRZMYz+WDbHrUrQvCNSv5aer9zQkcp+gRbtEO/OGbz05kXAXigoS5OXghMprpyCJqy7Uk4/YtgiZ1SrwxCfyZT3rWX56fSAcQFc7cBwZmUhz5Qqsr7sdgxBSY7JD96cRKQ52LAc/1GGlkjIfUBxtW1tQiSknQOLKQxnbNhmf/SwvP0VPaL04drjqTyF/pqBW6AfdTGMl5JQ4z/Fv0+fzPRTKTYvQsRYLIX3C1dEOsqiHDLGDjYeKLy++hG87uT9U6hoDidwntBXyONk7VFHkQva4xxX78Zu8xoHvh7u48HVOOfJceeTf/9f/anzmc8IaktfmvHNPflz5bYRP50T5Emlqn4gThzzgY18e8yr2WuTzjjgH1NO7ELkmcINatlsMKpkz1SUkGMElyyFB75B1nxL0yyuIUtRJZsizkO8k2MZRyBqZ1w0d1zjyvV0SCtM4cn0vxhd5+Wx53oQxgULuE+pIzbTFEbLIxZzYrfqIju+C2okRQl+b73c/4BnP8Ndb1Dt8gOroljTPGvOH9r3Libr4Yj6xK3JsUetvOmlT/0+Vw9HN1WHSU+Q3I+Q08a4gJ6igA4WocYmYzymrCZzr1Or40a0RLnt9P+Tn+qAehay4TuFs0KWb3pXW6ZZ/t7VBbEJPSbPp5awZIfM9tFzRe7uPPt3aEbo2u2C6lk+Fy9682t22rvjuXbGR17V8anDPV26RMuX9NMGN1ExbGCETNJ2uh6EVwYHQk4uYDpQMLlnhgONoU+rIJcOnnAJMTzc+0+VtByczll5Rn7yCOiHvTHNP3kJJSK3W+NFGARfB5IJKCn0c6ZBXIVy6TPZSxg6lz3bsiGOTmh5CnH3yhBBx19jwub0UQkJ0NskkRCWRsYh+XntY7FNMFyHz+c5CnutxDLSjPxkSwOPKk9Nj7QmHGkQ7JHJPQ2qmBC1aHb026Y+9QYVs9q3eLLkOn68TEuvqnAkUQkI9/Q6pWyyoMmXb5+aASy+Nr1OHEAJThD7fd+5d+WO+h20DxQmv1WgfAOKcLhVxgsRFDJtUkiL/rn6zgKrvVa9qzK8j5q0+veMGWmzPTUTPNxgRYzxwApe2wIntvWQXQgh4rEBNUYgRpI4RMHWl+eSjlqfa5Lu2xg7Cmq7lh7YLd9wfd1yYvhBQbUzknobUTAleoJxe+KIVUdxWBzM6GXJd5uft77WroJwIfv3rwCMewbdF94xjm80mmz4V8p/p+/GPgZNP5uuMfRIoENPJ4+RzOf8+MkUeldSov3Oc0ZDTPtc1Qk4bUfJT5XBlcoiCT1/q9hK1n844w67XJLtcBnp7eTapgQQO1tfdY4YSfKIQYrndYu8ntpNzn7kr56XWzSaDC04w3rZfmIKUIe0fa421kUPTzyJBsZeLU08Fjj3WrtNnLHECUlRQ1gTuNw1i48c/bvz95puBk04qTr8Neb5edygikfsELWo14IMfBK6+uhh9lKufeSAPh5lbvsh6571RrK3V///859evpJtAITiTk8BvfhNsmlYf91q+jx5xcs912lrliIU43zJiOircclxi4nPSRSUK4uRetin2O5a6+uYxfmJ+G0UlRaY1sVQC7r6bJlMHU9+FtIupHa66Cvjud/VpKyvNNujscuXRlbERGMpc4Ogz6RGgBGxtYzPkO0CcfBxwgzVFglrfEDtta2VI8FCk+9rW2wts387Xa7OHYkvsPg+5leJCiLzbbwcuuyyeLTbEGMetnovthETuE4yT6p/+Cbj8cn65PGxpR7R6IWkH0mfL8+//7ib3FDmca1gUwhYaWKGQCR25D4FPX1OdrrxO/VwnuhRiKzs8eZ6cUJ1QDijX8jmnSjH6Kc82BPjfpKDINgUsOH2mC6yY9LrGiUvvzIz+eX9/Y/BTlkl1WF3E1xYgMZXL47TQtr5Q3iXnrk+hQZBQ2SHwCeiYypk+esftgyJ8i1h7EJfsUfX69osNpltBtmBvXm0Tilb7vwl2JHKfYERPD7C6qk/Le2IXRVypkVpdOfmnb/kQGVzE2Li5beW6EkvZmCnk3lQnlWjbruX7nprpdMpwndxzbq3EJmfcq25cgqxr75BbOlwiInS5TohMttvWB5fjRbmWT1lHQp1Mm2PPkZVXMNcUCIqxtnLy+PSFTz7K2Kfawn3NxCefbfzFIsvyXPC95m4rx9n7bPsFZY2LgRhzzfaqCyeo6EJMfyL2nI8RFI6FWq1O7qnBlnZGHocCCfHQ3WoDEtoTtVpG7uX3hWVUKtn71Xkgj9PUPBD6rl0rULS9Ic6Ei5Bx5QnYTrRitU8MhyeUxLU78rgmyiFVurFpI30+qNXq5N5GGnS6fMa9i7Ryv7HgY4uA691129yzXdmn2iRkyNfhdW3A6d9WBbWpJEU3flodwLHJtgXVbDK4AY1QUhsarOHAd923rWfqM67NvgGdWg0480zgf/9ve6A/9o0BV1DWVs6Gr34VGB72t8t2ch8a1ExIkJFO7rc45AVQvTLY06O/RggAP/wh8OUv52OHayONufjleTpELe/rHMQ4sYmtS81XrdKccJvMmF9HLSJibrodEEoSY5bhnuhxTo8pp7FcB1M92bPB5ihxT3J8AkyyHUDz+KWSNFObc2wplYrzFFV7dbe+qA4s5+q8KS2UJJny+JAjGep6wBmTITdeuHOYo88WmKEi78AJ99ZPUWTLJ3DlKmcao65+zeNa/sUXN3+oLZaOmH4YJe8HPgBcdJG/rkqF94oMd7+y6c4LRQQjUsCDj0TuEzYhR1ZrNaC720zuDzWkxcMNnzZyvW9OuUrpc42V4vyrsmOS75AgAvWEywd5OEM2J9iHUNhgGi+u1zt89FJPuW35ajW/d+4pein5KCfgMkIDjXL55WVaOZ2dsswQu3SyZL2UvD66Ys0z17g1vWOtyqHIoNrgGk+UmxGUdUG3pof0GbVfbOPORahjgGJnHuuZrbwtoBW6pofkB/iBK1HGpT8Pn7BazYK9quxyOftw3dxcfJ2dgnYPYnQaErlPMKKrK87HwKjgvv8bA76nMEVGjGMhxAmh9o3pfXNfhJySURzP0Gv5OgeYcv2bI9v1jFKe4xTH2mR1/VYqAb/7XfaXOLjyRHldGtWh9Qnm+LaHcDp9/xReqH5hg+0Zh+zY+lQnT/06vMs2VY9u/PrOJVkO51aACa5gErcsZW2mEMvQgEieQUTXs7k5e7CBal8sAp430XOBGly0zU/duAiZOz7lKUEi27NQcAJ7Ljmh9lWr+mBvqQR873t1PTF15jV2O/E7AVsJidwnGBfZrq6wv/nLQeyTmSKQ3rl3y3eNH4oT5/O1fFswwvbOvQs+pxc+enzg67jG1uWSPTfnvhH0jncA//Iv+jSbo+5LDkyEwBVUsEG9lq8jXhzSSknzIVWhMBHKkDESsraGBrU4do+P0+VTZappod+m4JAr37QYgUsBSt/HGBuxyuTlu7jayCVTF9i0rWe6fBRbQoNhrYTPeCiV/ANn4uS+KIS2e5E3HHz3twQ9OobcLyws4Pzzz8fxxx+PHTt2YGBgAA95yENw0kkn4V//9V+1ZX7wgx/g5JNPxtjYGLZt24ZjjjkG7373u7HiOlJIAJAtQkWe3LcCRToJMcvHkkFBiKPN/RvvJv0uUMmNmq6SkSI2qlYg9PYDl/hQnEPbqeN3v5t910NO8yUEnKvpPkRIxZFHAj/5Sb1crHfufREqh/eOP88WUU+1j6hrDreddKSH29eyjMMOM3901gTfU3q5rJyHkjf2jSWqXqpsmXTG/K6ALJ8rl1omNnHlrE/U8RAj2OTjB3BIWZFrnm+QnptPhelafrsGPxI6Fx1B7n/1q1/hmGOOwcUXX4yzzz4bN9xwA3784x/jta99La644gq8613vairz+c9/Hk960pNw33334eKLL8bPf/5znHbaaTj33HNxwgknYD6vT70fIqjVij25l/UmtCcoJwxqHso79y7EjnSbThpDZFGICddxCI1W+9oQiwyGfM8gT2fn4MHsJ9WJdr1Tr+K224CJifo4ML1z70NMVZ02YupDZKmEzZTGCaKEXG3nEmNTUIELW5DKF7Itpv4w2RvjtSLXPPUJQlCDrJTx50souWkUG4r0T6in85z9LAaB9l3L8+xr2zi0zSkdTN+xiNFulYren7EFG2LojT1uY39nwiVLF8xKsKPt/xTewsICnv70p2PPnj343ve+h/7+/s20ffv2YXl5GV/5ylcayvzmN7/Baaedhl27duHyyy/Hjh07AABnnnkmVlZWcPbZZ+NNb3oTPv7xjxdZlbaDa2KWy8WTe4B/ZSwEIcQp9LpknjA5gqELvc/ph60cxTn0ObmnkhTf949tz3UOd7ttSnmOP6pzzSFwtnEkp1FIo/pKgMmRczkwtnq6TiA58yFkXMrrpWsuhpxmFUUabCde1PKuesYIRNn6Q80vLhKG3K6hkBufQJItzdT2Md715865PMYoNW8rXim0jTlRT3Xuc+w09Qf39SROm8fcI6n19QlmhdwuMV3LDwmEtxpF2duJr8G2Em1/cn/++efjjjvuwLvf/e4GYi/w9re/HT9W/s7Ge97zHqysrOClL33pJrEXeM1rXoO+vj588pOfxJ133pmn6R2PIq/lt3rShpD8UIRemc5bT6gO30VZfWeZC51Tu75uv65KcVJDT398QHHQY82hGPWjOOsc8rt9u78tOoJr+7/Jng9+EHjb2+z55PwUHZxTLV+0em21QSYi8jP5J/fmBKdfqXliQq3Pxz5Gt8N1S8K0fnFJGQUhe6Yr+BF7/Qx5FcJFUIu8lq/L5xNYKcrnsOlzrcm+cl2yqIFiqjwO1tayv0plC1LG1hsSjKDIDgH1fJUaJGq3Q5RWoq3JfaVSwSc/+Un09fXhKU95CrnMxRdfDAB46lOf2pQ+MjKC448/HtVqtenEP6GOWq11X8svEtyItlwuVG/RCD1d4eoQv4c6RiEnDmrZb3+b7zxRbDGRSVc5qn6f8RLTQfY5/aPWmSL7D/7AnC5uF8UMnqgnX0D2Hv13vtNcxhTQchF335NEjiPIOaV22cKdx7bxp1t3KQEZOW/I1VCXbbZypmAEVa+qRw04mmzhBshstlH0iXy+hNglW/dMnnchfUQtFzJGBdqNUNj6nLvm6GS2YyDSt06m/szDP6vVgNVVoKdHr9NUJobe2Aj1TQROPz2OnIRmtDW5//nPf457770XD3rQgzA7O4u3vvWtOProo7Fz504ceeSReMlLXoKbbrqpocytt96K6elpANm1fR3E8+uuuy5X+zsdrXjn3hedtjC0wt7QTctUVrzDHFOmzcGiyKE6XPKtgBCnh1KWejKU92Ycu5wpoOMiaBy5MduI4+DL6Olxf+WfIgegndhTiBOX4LryuQIVPnJ9bAt9l9wkm7KetNKhzoPAU4Mk6nPX+Iv5Whp1/IT0jcte3yBy6PvHseqkC3j5rr+x9iBK3+XxeqNv8M9lb2i7rK5mJ/cqbMHCPMd8p6DT/Pt2QFu/c3/jjTcCAJaWlnDcccfhD/7gD/CRj3wEu3fvxve+9z2cddZZ+MIXvoAvf/nL+LM/+zMA2fv2Anv37tXKPfzww5vy6rCystLwZf3Z2VkAQLVaRbWNWW+1WkWtVjPYWN54Xt7IBwAlVKu1hrRKpQqghEoFG2nNcoSucAi9JdRqtQ2bylrZjfY2luebktWzViuhVjPV01yuVMrsoOttbHtRLvupr69JDoCNPtKXa5SZ/SyVsvbNbmOobWhDqYGwqW1/0UU1PPrRtQ2bGvWKcWRuX12aGJuljf6Wx6Yeor6iTWq12kY5tZ3KG3MjS5PHWq1WQqWS6crSahvtVNdbq5U29NWa9DaeINfnlBgrmV65fRrbABCyG+0VttVtofd5o01qv+jXALkuskwx3uXysr1y29fbrtaUJupZqzXXU8gslbJ1QPRHvQ3qG33jmiXGkTxGZbuby8k2ZfUsQR23Wd5Mdnd3Ru7l8up4yFBGrVbXK9dBtVf0v9oGQn+2BjePX9NYycZ83aZSSS0v5nKzTfp1UJ7D9vFbq9UaxoiuX9U2qFZrShs2p9WJptpOsr31/qyPzZq2npmcer+o7QvUYN7zatrxV3eiyyiVakpd6mliPMr9KmTKddGtn2r7ymmiH5r7OmtDdU7Y297uG8htqLa9rl90Y1Sdb/WxXTXYW95YL3TroG2MivmSydPPRbHm6WSXNsqhqZzoc10aB6q9whbTvijat1IR81tdB2sbe7Xad6LP5X5thH086NPk/aIR9vEgr7FZW6p1ccM0VoS98hiV9Taudfq12WSvqX30aCy/ulpCT49pbDevkdUq18fUtU9NmgNUe7GRv7EO6vqQtTGvz/T6qONIvwfp/St6PTsJVLvbmtwfOHAAAHDnnXfi2GOPxSWXXILyxlHbMcccgwc96EF4xjOegRe+8IX4zW9+g927d28S8K6uLvTo7r8AGBgYAADMzMxY9Z9//vk499xztXYtLy971ytvVKtVzMzMoFarbbZXHXsxPj4OYC+mp6exsNCDanUA4+MHGtKmpqawtjYIABgfn9Zo2buRZvhDvywIvYdhdnYe/f01ACNa2XNzA6jVhpW0vZiZmcH4OPdPHO7F5OQkVleHUSrVDPXUlzt48CBqtd2Yn5/H+PgiuVy97ev2Tk52A9jNaMus7aempgDs0pabmekHsGNT3/j4OKrVMSwsLGJurgpgO1lftTqG+fmlDYdi28ZYqduytLSI8fE5AMDBgyUAh23qzdp3CJWKfhytre3E8nIF4+MzDTInJiawsjKM9XVgdnYRwE6rvfPzQu8BZONoDktLq6hWBzE1NS21016srKxs2jI72wdgFOPj41he3oGJiTkAYwCyoCIw0KB3ZWUEa2tljI9PAQAWF7HZvuKTIPPz21Bv36wuwG7Mzc1henodap+tre3E0tI6gGxdmpubAzCCgwcnAIxtzOURACXcd1+9P1VMTja2vTzG5ucHAQxvrKmHbax9o5iamsLcXC9qtcEGe8fHs/dxpqd7AezE5OQkSqVdmJiYBCDW2R0berNnWT3HUKlUMTu7AGBoM+3gwYMA9mB1dRVA34ZNWT3rNtVlrq6uYWlJjIusLisr21CtAl1dNakP9mJiIpvDq6tVLCxUUKlsw8TEFIDdmJqaRKWyA4uLy1haKmNtrQdTU7MAdm3au7Kygu7uGoBtDXOqVDoMc3NzWFvbhqWldZRKNSwv92F8/CDEGrm8PIDV1S6Mj09KPSHWz2EsL1cwM7MEYCcOHMjaYHp6GmtrQ1hcXMf6eg+Ans12Em1x4MABrK6OAujdbLvJycy2bO/ZBgCb/SjyyMQ/S9uxoXcvZmdnsL4+jMXFFXR1VQEMN4wndWyLukxPT6NW24G5uQVMTa02jd/V1VGsrNQwP7+KWm1ocxwJm+SxItr3wIGDKJXGMDc3j4WFLlQqvZiYmEG2Dh7YWFuXsLLSjdXVEiqVLgDdm/N7enoGq6sDWF6uYm5uFcDIZl1Em6yurmJ2dgXA9k1bpqenUakMY3FxFZOTSw1tLtq3UqkZ1pq9qFZrWFxcQqXSi/Hxic22q/9FhL2o1epzQt2nst/3ACht6l1cXMDaWi9WVtY36rJDqmd9rMzNrQMYhrxHV6sjmJ9fxvp6P4DuzTGdrfd7MDe3gMXFEiqVfkxOTks2ZWvk8nIP1ta6MTU1j2yNFevnDObmulCrDWN6OmtPoXdmZgarq4MbY3tlY4xl5cbHx1Gp7MLi4urGnrB3U6b4WalUNoh01+acEOXn5uaxstKDlZUyJifnGvpnbm52wyfpadCXje1Z1GrDmJ9f3FhjR6V1cBqVym4sLq5iYmJJaoO9DevhwkIPgKFNO++7T6wB8xsO9Y5Ne7P1IevV2dn+pjbgYGJC3v8ze1dXB7GyovokWZ+vrmbrSjZW5H1mEtXqTszNLaBUyvb4+npyENkeNL9B7oe0di4uDmN9vU8ZK3sxNTWNlZVtWF0tb+yRuxvG4fi47krTXhw8OIFKZScWFpYwM7PW0C91H2ph45booHV/02FlZWTDplmIcS/sXVsbxMpKFZOTC4q9k1hbG8bKSg0HD841lJuYmMD6+o6NsbLYkCbW5GzcLzfUxWzv3oZ5Mz/fi1qtDwcOTEKMo6zPs7UHwOZaNT4+jtXVURw4MG0INrqxuroDALCwIPtQFHszzMz0aso1cof77jvgkGnD3ob2zYI7+jy1Wua/Tk+vQfUHK5UsbXa2AtXvpdSzk5D5h260NblfXKyTpte+9rVNRPXEE0/Ewx/+cNx66634zGc+gzPPPDOq/rPOOgtnnHHG5u+zs7N4wAMegLGxMWy3feGpxRCnA2NjYxpyD+zZswcAMDKyA0NDQLlc2nwmfu7YMYre3hJ6e+vPdLClcSDkDA8PbZIknWzR7GrayMgIfEwZHd2J3t4S+vp4ddm1azfK5RIGB4ewZ88QuVy97ev23ndfYxoVo6OjxnJqO+3ZswflcgkDA4MYHs5ON6n6snoOolbLXtVQyw0MDGDPnoxsCIdH5Nm5M2vf7m69vt7eEvr7e7BnT1/D8127dqGvL4vKj472GuspsC1Tj7GxjJgPDw+jv38B5XK5qZ36+vqkfqjb29dXwq5d9Ttz/f3bmvT29WWRd/FsYUHo3bNpw9BQdgon8uzatWvj+TDE9z1lmT09JWzbVg9EDg8PN5QbGRnZOO1D0zyVIQiGbowNbQzR3bvHNtOAbAypa8CuXbs2ywl7R0d3Asj6E0DD+ieeCXu7usoYHh5CqVTaTNu9ezcAoFe6kyjqKfpMltnX19MwLkZGRtDbm53E9PWhoQ/EGOvtBQYHs3YQekdHd6KrKxv34n1HMR6Evb29fZtrjkgbGxPr0fBm/6hzanR0FH19+jVy587RzbE9MtLX0AYjIzvQ25vJ7O5ubF/RFmNjY+jtLTWUE7bJH5bdvn2kIY8g9qLNSqXSZtrw8Ai6ukr4/vcHcMoptYa6iPEvt6vAjh07MD9fwuLiEEZHG8tl7Zetn4ODvSiV5HG0e8PG7ZKs0QZ7h4eHMDCQrQ+iz8bGxjb7rL8/uy0h2km0jxgPfX3A0FBfg02iTXp7ezE83NNgy8jIDnR3lzAw0I2dO7dt2DLW0L5yHQDgj/6ohEsuqW2mbds20LCejY3t2bQvy1PvT7Ut9+zZszmXhd7BwUH09GRjfmiov6GeO3bs2Bx/Q0ONbT86Ooqurmxt/u1vM5k7d+7azNPVVcLQ0CCAUsOcyGwQa2TW5+LDw/X1cwSLi1ldxFoht68Yv9u39zWU27Nnz4a93Zt7gjymAaC7u2tznxDjQLRFtv9nc0oeDwAwNLQd3d2NbVe3afvmPiWv6aINu7u7MTDQjdHRxjVdHk+Dg6Wmugib6uvn7o08ezZf6RLDWy1HxUY1G+zt69P7JKOj9XVFHfc7d+7c7HNhr7Bp9+7dKJVKGB4eQrXauN7LGBzM5qI6foVNcr/I49BU5V27dm32y/btjeNX+FBDQ4Po6mqcd9Q2rNtUH/fC3p6eEvr7gdHRPiVtJ3p6svYV+329DXdtrg+7djWPFXVNl9cA0xV4eT8eHMzmohhHdb2jUpvV03p7S9i9ewwb3chGb292cj84ONCgj+rTq3NJbt9sr+X3mUnf7t1j2NzGFGTzLRtHOh9KpG24FFabxE2nWNylaOg+LK9DW5P7bcJbBnD00Udr8xx33HG49dZb8cMf/hBA3ZGoVCpYW1vTnt6LoIHYtEzo6+tDX19f0/Nyuawlze2EUqlktFM8K5fLmwtSuVzSppVK9TQdYrWDkJPZbZat2iuX9zFF1wa+9vLKlaV6NqZRUSrV+6pZT6NMffty6lv/uKJarqurJI2fRr2lknsc6dLkcsKhs7WPSBJtIq6+ZrJ1bVDasL1ub6avbof4v6xXbTtZr/h/V1e2gchzSsg29bXsGKj9Kn6Xn1H73DTGZB26NaBer8b2UdcJvZ0lqe1KTWmmco11ai4vxoOwSe0fOU1nZ718o02lUkmS2ThuhR2lUnO/1vPo5oTcPs1rq5ApHA1dW6hp9bqY21BOU+sp8t54I/Cc5zTbZFoXSqUy1teBCy4AnvtcfbvK+kz1NdVF12eN/QxteXVdUeuZXUm12aKOn3o5uQ2+9z1gbk78rre3cTqWmmSr9jfaW2qqi2qTGLe6+praR7ZXHvf1PPWxbdr/de2ka0N13JpkAvWr32o5+XeTbFM9bf5DdmU3k2eei671rFmvbo1U7aTAtDbr9kV57aiPG3WsNfe5vJ5R/B3dOGze+5rTmuU010XXZ6Yx6oLLf7Wl2W3S7S/2upjIvbqnqL6BWt/msc3zMRt1Y7PfTfpU6P2d5vlmqgsXujllymP3oZrTdDap+2qngWp3W9dOvBsP1KOFKsTpT3bdDzjyyCM30/bv368tc++99zblTWhEKz5goXPm8gblA0umcp0GUU8f220fUaK0n49OznhQ5ctlbLrldZJiIyWPam+MjxrZyk5MAP/5n+H6XJDJqEu2Oq90+W39WioB//7vtDJqO6l5qGPBJtNU1uzQmceB/Lvtg1CUZxTI5dQ1II8xQrVJtkUeWzq7TL9T54jORp+2p64RNtm28WmzQQe13VxyXTps6yhVts0mKkJ8AFvbc+0qwhfx7T+dnLz2Yt9ytjKc9ZAr39UWpjXAZ3/3AXWe6fKG6uIgz/HEkRNzn+pE390HbU3ujz322M3/3yfuLisQz8WVuoc//OGbJ/K33HKLtox4fvzxx0ezNaE4tMvkzMMBaUe46mkjT77BE1kWp3zRzpvJ6eds3joi6NIn45vfBJ72NDsByYvM6aAjk6bfTeVsiOVwUMikbQxSnVFuYEPNwxlLLr22PBSSwSEieYw109jS2agjmRRC65o/lMCVDbp+ta0jnKCs7xyyES1Omk22ay7Zfvd9rtpky0cJfIUElbgQck1/jcZFhmzt7AracEk5BZS29wE3mOTaC022yOPeNX9sek0HJC99KXDUUXHHU8iBTkJno63J/VFHHYWHP/zhAICf/vSn2jw333wzAOCJT3wigOxDes9+9rMBAN/+9reb8s/MzOC6665DuVzGKaeckofZHQedk7pVFoPQKHYr2ykkkh7zROIxj6Hp5EAu43N7qsjTCbWczTngkLo8QXFgXc9seWKvJ77ONGWeUkkt5xTT5lT5nlD4BG9KJV7DhwbiqPlEe5oIboyAHnc8Uto+xtwUZxa+QRvVJleedtirZLjmsi8h8Qn6qUEbark8oeqyvW+tziHKnHLVxTQ38rzhGHuMhgRfYgbRdHlN7dvbW/92kI+eVqEIGyn+VUIj2prcA8DZZ58NAPjIRz6C9fX1hrRvfOMb+NWvfoVdu3bhL//yLzefv/3tb0dvby8+9alPNX0R/0Mf+hBWVlbwkpe8BA984APzr0ACC0WTslYh78UqD0fFVG7jj09Eh8+1fJNj49LhyqfTxYGtDrffDnzuc83y8yS0PuCekLhO6LinRL4OpnrCSyHHIUEBnV5XeW4w5CUvAY45xp5H2BC6FnDq6UsAuLcR1J+cV0ZCrqvHWCOe/3xIX9fXlzGNB91NGEpwihpwpI4Hysk/B9S54OoHE0n3WQtdug47LFyHrRzlFaQY+kNB0VvUzR4OXDd78rTPt89j6mo35Ol/xSzfKWh7cv/iF78Yr3jFK3DzzTfj2c9+Nq677jr89re/xUUXXYS//Mu/xPbt2/GVr3xl82uvAPDQhz4UF154IQ4ePIgTTzwR11xzDW677Tb84z/+I8455xwcd9xxeP/739+yOrUj2mnAF/3OfZHlWomQq6Q6GQK2P7vpS8jk8iHfPXHptsm2nciqCHFIDxyof3W/3WAKQrmczLxOYlzvsrvGm8luXR0oQQETYgc2VAwNuQkiRU4MyH0d0znmBhW4gQrTGHXJcY2xkACUazyo6T7Xg3V5uSSHM79tgRgOTMSdqh+ofxSWmt/2ioH4S1qt9AWorwuJMWsKEqkyiya9ed0Y8hm7rgCwyMOxg5MnZlsLO9fWOvu4uxP97Vaj7ck9AHzsYx/DF77wBczNzeFpT3saHv7wh+Occ87Bqaeeip/85Cf4wz/8w6YyL3rRi3DNNddgbGwMJ510Eo4++mhceOGF+Ju/+RtcffXVmx/iS9DjUJlMV18NrK668/nUN9Y790UGGCibOxcch+lv/5YmU64bhdz7kkmVsFL6RUdybRu/6VlsqLb4OuWx5r4rmMR9/96XuHDL+uS3yQmxW37G7TMfB51DqEOgkg1Vt3prx7c/OfX0nROh6zdnHrjWHpsM1xoVCxzyzl0XXHJcr86srJjLF01oTeASVlO/UgPRnHSfdVT+Z5IV0r4xgxE+cylUpitPjLH3jnfkx3di7pUJ8dDWfwpPxnOf+1w897nPZZV5/OMfj0svvTQnizofsaKNMUDVw92wTjgB+PGP6+856sqFOBOduiAVdTtCbZ93vQt45zt5Mnzev+Vc042BPHToHJRWzVkdGePozbsPQr9zQLFPd1pjCwCZgjxFOnscosX5poAp3ffKu8+NGFPeUOLuG2Ch6BNjRj1FDe0jk15uMJc6Nm0nlxQbQ4NvHNkyTOTeJTNP+K4HPuOWOx4oCG2fooMoocTf9+o8ZS/Kyy+bmuqIc9xgxNrrDwVsjR5PcEK3UaQPV9jhe70QKO4UxaWbUyaElPjW0USSqHb4OsPU/Dr4npjY8rXbhhSjnTh5beNPTYtBZGRn2KftKa/AyLLzOv3I8537K66w5wldG6mEhhJ4kvOHzs8YcN3u0Y1n3VgMfT3A1HYuAuQTSImxV4bCdnKv3hKxBTGKJqQyqN8Q0X2fgQpbkIi7tlP28Ng+kMt/bSUJtAW38gp65eFj5tFnPmkJeiRyv4UhFt3Ym3GIPfLPItAqh6MVi5VvMMJ1MhdCEGz5OacMviSpt7dZhgCFBOj06hzCWK9w6EBxQClpLn3cOuRRZxdpDh2LJseeO+5118lDA3o2QuEzv1wyXfiTP+HlV/VTruW7ytvyx3QWVTtj7FG69Y0z17kBV58x40OQbP0qfvddr0PKlUru78P4pMWGq19dwSyXrSF18VlzXeMvdC75BGDzJtMhMouwKRQhczhUbzvI6AQkcp8AoH0WlDyIYiy97QauM5LXR2tseWM4wr4f1KNsPtz3vkNO/UI3+VaAsy5wySel7UNJgNDjckpd9nLHkHxa5XNt3eY8cYOgnLazyaR8psY3aGEKUNmuf+vkqHl8Al3coJgP4VGv5VP16k5jKQEa6ikuRZZrTgrZHCJNCTZdfbVd3uws8IMf+JNem+xQWdPTwCtfSZfvymMKDNkCvbFuGsZG3vtcLN+Wu7+57NAh9sFWSJ+L8u0Aah3awWdqFyRyn2BEu0zsPBGy0Mc6mWzF++/tcAobU7eLCFHgcwKgg+vKbQi4xCMWfMa77kTSNgY541N1tGIHXWIGa0yBBt/xxtEb61r+Yx8L/MVf6NNN18bzIMk2khPaZ5R5FMNBpwS6TG3BXd/yInMUe//jP/R5fK9Ef/KTdrsWFoBvfEMvyxRAcQWEbIEXm60q7r0X+NjH3PkEODcmYgQfOOU5xJab5mO3z23CkP0i5q0d9Xfd87x8khgyY9kH0Ns+T//qUEIi91sYoRtWQpx2KrqtufpciziVsHHQiuCHipB3FH3zcPK5ylPnd+xTiBgbfgjhjjlefOtBvZbPke/TL+3s9HDeF9aNUVcbmp5Tro1TZZngsslkA3c82PJT2sc3AOSyt1arv9/OKa9z3l0Bo1iIFRyKodelhzKvTcFVnzWyE/0cG2zj1xYI8qlDrLWjlWi1TTHXgFbXpSgkcp8AoHMGfEjE1VSuFQ5wKzbL0CtaQoYNlFOpPOHjKPmkqXliOGM2/bFIoI3wuOC63q7+VE+pOTa5CBcniEQhUro6cK7T63TqnETX+hWTIPjI1rUJJxDhc4pmmx/UftaNNe5Y5wTDuK/zUGwImYMu3Wq5kDagjlHb61Sm+e0iUCHriS+hjRHs8QkUu8aYrQ1dNvjuybGDApzvTXD02MYTZT3y1ecr19TnvgEFjm4fcF8NoyBm/yckcp+Q4IWYi0lR5LdVp3ghxIV73dZFAl0yYhDq2AGo0LIhoNTLVS6mLbYT8ZDovq+z5hMsMQUQTLJDSAYnGBfymoRLtk9+uQ1cc4obeLLZFxogpNabSmJdV7Tzmmu2Z5SxEnICn8deZZuvpnaOdS3fB6b2Ukm6Ls2157rWLVs53/FOkVUU2u1aPkd/O4AajIuJvNa6QxWJ3Cdo0YpJlEc00IWQerbyPXQf+b7OOue0yLTxxzw1aSW41yE55SjgnGpR+sVXL9cJCj39Ek4E9YSXoyPGyRxVdow1jks0YrR9jDxyPtGXPsERubwvuIEgznpEWS/lPKZvFphsMP1OzUORLUANmtjkcdYsShmXPh047/mHBNN89PvU1Wcfkl+v466XoethjFspOvjY5SKmptcQfYksNVCn5o+JUP+jCD/MtU7ktScfqkjkPgFA+wz4mI5kbL0h5fIgq1xZtnfnL7oIuPlmu54Q24uK8OqcypgOmckJbXW/5iVb1SPKf/SjPNlFOG2inMmp9dFvG7c2ma53hykyODDJjhGYs+mIAZfT63q9Q62na076vBqhtlOos6yevlJvWHCDsnJZE1mhXo2Ouda55o4O1D+92Kp9JrbsmFfgTUHGGKCQMhNZjnEtX7fGybI5cn2DYaFBNFOfh/pNRZx2F80dWnUDtdOQyP0Wh29kPk/4bPw2xIyah5aLVd4HtnZ43euAr3/dXdbV/rrNKWQxppblOPImx0zdSH2dAhOpy4Ngumwx2WTLS2nLa6/l28DVp0uzkWZfkmJaA6ljz/fqu9yvFGLqY6Mu0GGS+aUvmdvQNf9NDjYHtjbwIey+wZR22POoc8J3jHLGbIhel0xKPvH7E57A10m1weUDtWJM6GwB6EEbU5ruuUm2Tv+hAldAUUXM4CxnHG4VuNY8n2ANV8+hhETutzBsmwCwtSJkW6muQHN9u7qASsVPlosQ+5BbX4eqXRfuWBsTBZT2ztMO35Mnikz5/3k4oDrZPlf+Tf0tSLDv6x225yabOE6p/LfJ8zjxkkG5lu9ygn3XHls57hrGaV+dXjlw4mOnb0DSBQ55VOeLa/2mvBvOIa02UNdBztyPiZB90Ra0MaW51h+XPdxAFOVmimxfDFD63DZGKWOXa4toC9dYb8fACieo2kq0mz2tRCL3CcYoJdUJPRTg65z6yo9JRGKUsZH7GFe78h5H+g2zpE0LeT9bzcd1NmXyZAL11MAnDxec+sV0UGLVxeZQyXmopKpIR4sTxKA6sy4sL9vluILA1BNhtU3VPqI43a4bMtzAAZfAh0D3zr1qn6kcB1RCzMnDBbdc6K2AWPsiNchD0Zfnq1M+AY8i/TrqOuYKCNlkx4KrXzlrsg8or3Jx5fm0KxV5ylb1CGwVThKKRO63ODjvZOaJVkUnfQMYPhuqT/48oLOBcnLvQzBNUfKvf51GdLmgEnlKeV1ZSmAgVvAgJIjgku2ThxvkkU9sQucJhdSJ/8fY/EPbW1d3ijNbJMHUyVxa0qfFekXBB67XLTh97tuu3DHms6eaiIUv2XcFXcT487mCXMSrVjr9ea5/tnU7BskKAbftdesKdf12vcMeG6GybTdebGssF6Frcsje6wtTALEdcahzjaKRyH0CgGIXcxNCri6HTFjfusY6uc+jnXXtYdPT1ZXfqbKuzJ/+KbCyYi4TehJjk0mVzSF4Ljl5XsunEMQYDg41aMF1hmMFLmw2+ejTkSPTO/NUqHJikxXu2Fbhey2fqx+wX1Hl3gDgBp5sjjo3TQX1CrJsO4ewxQgAxT5JVvczXR/6Bi1jr2MuPaa9OSSgwy0Xsn655oTLTtcc5vSBb7/GACXwled4ssmkrtutDiwV+TqhDVT9rbaznZDI/RYGZZFvt4hfjCvi3/pW87NWBBRC5YTYrPZruez/zr1Ln8kZKTtWn1CCSHGGVRkxnPeQ9xl9dcbQEQpVb8hcjbnucOygOs6qfKocX4fbN28I6S3C8RWgtgslKCq3vYuw2cqbZFLyuyDX93GPM8vXBTG4+jkEmpPHtF763FihQNef1P5w+TIcOWparIAPR54sV7apyABELBmtuBFgq4/vzYgYiN0WpkAbFdzAXghiEvhE8hO5T9iAy6k4lPDHf1z/v+/C18pNMg+EfFCPAt/3yEM+XqOWF6eSMa8Yc8lDHiTO5Ez7EhFTgIRzrdNHry4/h3To9FPra3PWXESf6rRSHEJq21Ody1Kpxmo7E3Q3F3RyKOTC5/16btvZ9Kv/58iiOMtc8trfX5ct//SBqZ1811FTuZj159oUUj40qFAUYl7jF79TbyGoAQObXNMzSprOtlh+lS0A5Vp7bHUPeSfetoeG7tku5DGeOhWdbDsHidxvYbgGeStO7VtBmn0Jfqxr+UVDpzvknfsYBEqXP8+ro5T0WA6OnGdwkJbP9KwTNibR1yEk35ZvfR24/XZ+OY4+U3v7vNutC/yY5Bw4kP38sz9z643RvjGIv5yfQtrlNqAERihE0pe8mp498IHAd7/bnBaLYLoCZZQ1xlVvSqCFEqgQoH4jhXNaqrYrt52p+X1fe+Bcy/cFta+58LklFGMfpZaPsZfZZPjMjTz8T2pAMaY9seT43GLwBbUNi7Spk5HIfULboRUTs5WLQVFBlBBHkJtPwDdwIsr6ltE5NsI5tRGQPMaB3Aates0l5MTBJEOFr9PIdSivvNJM7k0ybQ6WiSRT+yzmaxif/Wz289przbKo+igk0gafueE7vl1ERHeypxIvG0HkOIe1GnDXXcDEBM12Fdx37lXdnHK+ZIzyPrxLhxzM0bVvKKGgEP5YxDgkmBCyx9l0UNdb3U9Tn1Nlm3RwA4pcfT7wDXLaAouucRXqm5gQ47XTPOUJtBt57oTXFotGd6sNSGgdiiY57QjfjZnbPjGj1RQbbA4ZwCN7Pu8sq890MooYY7LePL/On+cGanLW8rKJ04em8qa+7uryt0FgdVVvmwl5ON7q/3X5TKftNvJJuQbNIWAmfZSTK7kctX1jrKW29vEhoa48Jpmhax4XujFAaXvKmOQ6+dTAl6u8ziYbGQshI498ZONfe3DZpf5u2xND13efAKBPMC3GTQNbH/iOa9OeEGNt9vXFfMqGlj9UruXHgM96lFf+QxGJ3CdsedRq7o+75aGz3eB7Vc03ck8NTnCcdlte1zv3IX0SQgRilaO0gY24x4Ktz7dtC5cvyL1pjLiIsArZ8czLuaLKDrlqbypvsyVGwM3UD64gUQxiahtrviTFNRZizxebDa48PrdpfIN/ofPAFrSh6NDNUzn/wx4GzM3RZNnsMz1v1a0r2YbQ8r57ecxAh02fD1l2lfMNasUinyF7Sjv6iSry3B+LtuFQQrqWv4UhO1ghi6z4IFBMu0zYKteM8oSPwxva7qFjLIY+3cm9zabYTrDOJk55H1tM5XycixhX33zXClme7dsQnLHNIXi6K/o+BFGVQ+1rzq0JHUK/FWCTzUXIK0C68WgjfDa5rvy+awGFQOn60xWMoAREqPNVbgPu9W/VJl2aC669xlTGVF+5Hr4BKt04MslU+yDk1R2dLZwytqCJ7/qtyvHNo6uL75jh6Lbp8K1TrACLLS2vG46xA1NF+8t5BpQOVSRyv4WQ16C2/b1yDloRGadszKZy8s/Y+TkyqfAl6D7v6qnldSgiSKO7ll90cCh0jPmWi11P1/gxEVk57QlPMOe3yZKhfmzO5YhRXkHRPaM4pBSSUoRzRm1Lji1coujKZ9NjIvLUYI3LKabMiZhONSXAEBqI4dpCITzyTx8CLtK4ZNu2v3ACTpTAigkUgu67Zvna5FMuZK8W5YraI2OMdVPAlSKbO35irukx7PGVW3T5onVsFQJvQyL3WwichSMvguBC0Rtkq9Bqe03XWK+7Dvj4x3myXOPINpZc76DF/PCP6517Gzk1PfMN8rQKecwvzjqiO7nnrkMPexiwb19jviICg5zvVNiIm2s+uMAZaz7vePpAzHMqoeYGZFxONbf/OYRTla8GI3wDJpR8lKAhRWbMd5upBMhW3hYs8x2TnPmps83kH1HHL8c2LqjjnhJ0MQXTbHo4ARZqWkxQAnuxdPgGDUP30FbANk7yDnSo+nT/D5V1KCOR+y2Edl1AuOgkWzsN3/gGcO65/uU5zrfLkYu9iAtyb/u+gq8jR9l88h63PiQjlk0hjrWuTJEnFjqyEcOhN8kG/AIF3HGo0+PKb0uLQSIpxFhXB982oARQOPM1VhDPdNOAQuY5en0DOyHrWZHOfqx5aiof+51urn5KGoV0cteFPJFHYMdHf6x8HJheg81Lb4zXKX3SfGTHqHeRAYd2RyL3Wwg+zn+rrsq3uy5uOZsz4tvG3IWXsrGUy3GdNrnepsXc9xTMpEeG7lp+qQTcfXf299K5JxK+9vlcUY3dFtzy6v9jXMvPY76pBFp3mhUatKFeS5fLcW5+2GS59OvkmGzhyLEFI0z2UdYy3XcHQq7li/KhxN/2O2fchu6ZrtNYqi22bwuobU8hgTbSy1kndJDnGedUmbIeUfuRMjdN5UPeuc/L37G94uBqB11wwPf1utC1nwPfcSf/Hvp6BkefKpeTv0jEWhtjoJWBqU5CIvdbGCHR+VaiXSZ3iB2tWBwpDoZr4+K+E2mDK2+s9hWQT+6POAK49FJ/+aqeovqQS2B8yptAJbh5n8Dk0QaUoJvO+Q89FeEQNVugwUY6bCQnltPGJVLCNpNu7tznBp50wYGiYCLUlCCn7fUAG7iyQ2Ai/pR5Zxuj1GCPD7iyVZvy+k4C1QZXXsAdTLOVtemzgSPPpw19xgM1GGF6TllHbeVCApm+CPn+gi2tSL+Hoy8vH6iTkMj9FgJ3US7a4YmZLy/kEbEtCi7nOc8rTdyNQN7sfJ0JtZx6Ld/19XzfE6TYUe48+iP0hIMC6o2MUNnid992innSbysjOyixA1euNKq+PGXL+X0DI6GBHaHfZBNFjtp/PmOFGozgEttYawWFTLp0DQ/HscUGXZ+F7he6PaAd9m8dTMEenzlgSwupf95BYddrO7pnvrcQQlH0tfxYKMKmGDrase1ahUTutxCozoucXiTBz0tXHlfiQstRSGQeNrg2ldjRWO6mG6pHhe5avumde4rznBcpi5nfJyhC0cs5HQ3tW9daRT3loIxpNY16omxbH01pptsAtlMd23Nbn4cGE2KNe5NM+ZnpKrCqm7uecPc8oP7Rx1YE1eS+itHmtiCpbtzbyK6N9Opk79ljtonyTJeH059cPT7X8qljhOKDyD9DrvnLeVSZ1L2B46dQ+oAa6I0Fqg4T8TeNtZBgD8X30j1vR8KaR0CxnfQdCkjkfgvB5hBTneW8QVnM2uVafqeBsjHpHBhXtNm18Jr05kH4bSRJfufepM93E/Ftg0MFLiLLDThQ8ptIoM8pNZUA+Tj3Puuumk9HvKhXrW3zjDv+OWTKZpPNNoqdah6drIEBmq1yWz74wcDLX+7WmQfkcWwLDlEDHHJ52wlv6G0S0zj0HWMm2AIVofANEgib8r6Wb0vntoXN3jzGvGgjE1m27dkxdJuexagrZ5+iytoq4O6lvv5YiJxORnerDUhoHXwiia1Gqyemuph30sJNOQ3QfVCPEr03web8cCP+XJjkc0/uKTqKGge68m97G10H1xnx6fuQ8UKRSZEb0s4msuM62dOluQiurV6mdozpuFDrUOT7lQKcNUNtnz/7M3M5XduL+g0MAF1ddl0m2yh2ijTObRJbcLUVr865xkHICa/ud84Y5djpgk6mK78JPv3EffVDDTjoIOoUc1+NtS7E2H8p7WRLyzPQYNNrSgttW9NexvXv8+pzrv525CTtinRyn9ASxy0EMd8Ja9UiFTNqTE2zkS558QxxIm3OdxGRWvWnTq/tT+HJoBAwVb/NNi6o5e66q7lc0a9XuK70UmSHgjr2uPp8b13oyIarX/I+vcprvaM6X6axYlofuETRl3Rz5rRrHVNl3X23Xp+unFxn6ok6dx01zU3TrQBbO5hk5THOdKQ1VjCLUt+YfodOBoWoqrbYApDqGKOuLba9OkZ76+oZ+2ZbjMCO7VlIIMKUVuRtipgoqs9cN0ipstq9PWMhkfstDJuzuVUmQFFol/bMg2wVSeBC9Ig06t+5pzr31HTqxuQLH0eOA5tM3RXgvN6ztDn4Ps6/2i/cwEjICTNFFiW/jlxT6kSZL5yxRMlLeX3CFHwMCWianquONYfgmmTL+Y84gl4WoL9e4qqveuXZtj5wgwimK/9UuPozNJjMzaPLRyGmHPl5gdsGnDkUo2733AMsL9PWLx2+9jXgox81p1NuO8mg1p8TCKLKtO0tRY6jPIIfrUQ60W9GIvdbCO02IU3wibr5Tm5fItspbSnDtpHa3oPlRExV2KLy1OCSrwPHJVgh0XhK1Jkr0xc2m3xJEle/z8kPhaTbytvGsO45d3xwruXLeShOratdYlwDp8DkuFIDHrHnrdp+JnIln3JTSK/JlrwCUiZ91DQXSX/Vq4B9+/h6XWPDtz3kfvNZc2xrCEW3Kb/vGu8iZHkHU0MIpSwvdExzb+CJtHvv9df53e8CH/wgr4xvQEcgj1saujnhku3rd9lsiF0uln0xdXSifx4bidxvYVCc6SJBPQ3I63ocF3mcWPjIooJyKhh6bZjjUIU4cFT9pmBFbIQ6E9S8eW3OnBNXl448HV6TXNd64XKSdPMy9L3UmPX3Pcnk2iD/eUjqWAutp4mUc/rCddrtCnS59hSVaIUEk11BCM4tC/Gst7f+rQBfUPXGCiTZ7NDpoxDcGOujaVyE+B2cGzmhdaCsv5T10qYjBlzzT6C3F1hdpcmipPkGHUNlCpjqGvvVhHZHTF+GM163Svsmcp/QVjhUJ14IYc7DDtsGEzNKagsaFHXqoYJ6Ld/2zAZTPYsa2zGJpeqAUU86KM4Ph2y7xhH1hMOXwISMC1Mb6my2nZS6CKoO8ok2pxwHVCddzuPKK5P1mLcGTPVW+4WD2A6k6waKrMN29V61xfRT1atLM+n3aTNKP1HKyr/7rnk+c1gtF2td9wkUUF63UH/3IcKx1wkBym2oom+9+bwuRLXJJ3CSh98Qo52KBHduHKo8goNE7rcwbBtU0YSECiq5CJXnyt+u7SPga1eMq3s6uMiHKT/3xNLWLzqZlDnA0WtCyKbjM0a5Tl9M+PYdB9QTWq7zbpNN0ed67jphNiH0Wj41jTtPfWyyvaZDtc9Ezk2vXlD7N+YrOza4ggkyyVAJvCqHosNVjrrW6cav60SbskZSAzMuO10BB58ghG09o651nJN7Vx5ufvF77IAvxZ7YfcHN77KNEgzztYGqzyY7VKdpPeTCd3+JpSMPfYc6ErnfQuiUSUElSq2GDwnQbRztEgV1nZL5OBVCri6N4qyFIo9r+S5HJVZUPIRMca4nU5EXweSAIkcX2BBjjXI6Sb2CzQ1i2ODrINvkZLb7NzzVIY91LT+GTabgiat9Q65c+4BzLV9dP21rjd8YMae57NWhyNOzmOsKNxCUF3xJDmef87mWn9cNuxj+nq3vOIGOWG3PLQ+057zJw4/wQcygRKfwoFAkcr+FQXGqWkWk24XAtzO4ixR1I7Xl4TrBlGh1THIUsnCrtursyiMw0Epw7IlxLT/GJq0LlInAVChUmSYbXM9N9rqCC673MW12mMpxTqe4UOVw+oD6ikSILJNs3Vy3BWBVGSGBLheotzuoAUVqX+vGmClQJvL4EGJTOVN5mz4OoQ2BSa+rLhy7KP2pq6+NaOr6jjJWdM9buXf5kGfXPKWstbFsET9tZNm0FraDz9BOAQeKjHZos1YjkfsEAPGd8bwg7FlZAT72sXjyuPnbtX2osG1sPpu/K93lhKjPqI6rTT/H4aTKNMmiOtexyBQljynvzp30Pg4Z5zHb3CWT07YckhMbnOAZlzCF6HWBS55NNgkHl0rqTafWJpJDkW0L2vkEUdR8o6Pu/NR11hU8sV29V/OZZMs2yXlt/WG6lm9bL0L2FUp5yisZPnuJrX3PO8+cxtUTA7FPfynBBEp5W2DG1T+utr38crd+l00UcMd0OyDWtXwVecjMQ18n9lksJHK/hdDOBJ4zeUslYP9+4JWvzNcmF2Jdy28nmK6xUxxIHVzOXuhrAC7YTuR8yDZlDvk4KBRdnHK206/Y5JXqWKuwOaK2dua8v8ohUi6Y2tQV7OGMB9ufM/Otg464UeRQ+pCyLujWExWmNuTOAc51fDmP7YSag8FB4PWvt+vS2WmySVfWVU6Ac9PGpcOnPVyBGI5+lw6uDNP6ov7f1U+/+EX8vZzb97Z21uWh7AGc/qHUX/4rHCYbTeCMF13f+ZJBznobY9zaXiOIjdi+VQwbYtazXf3rIpHI/RaHaWNo9eTwJZE6/PSnYba0K0LIn+mZ7YTd1yHjkDhfuGykXouM2aa++WLYUPT7kaagkM62EP06WVTywHHoqcG40HrJ5XfvBg4/XJ/Htz+5QZeQsedrJyf4YaqL70m4Ka+LUJjsE3+Szneec4iX75qjtqEp8CO3Q8xXKGzjkUquQvRTYbNFtdfVZ7Gu5ZvyU2C6baHKzGvv0OmiwpU3tv/qOzdtslxrTl7+UYz+tNnWaq5gQzvbljcSud/CoJKydgJ1M5XxiU+45XH1hy5s3I08RL4AJdJqyuNz8md7Jj8P3fgptugcG+oYiuU4FLXRUJ0JFeJ6Y0iARJSnBIi4DqwteEG1jXpSRMlLbV+VhMrPbX1lc8Z1smw2UE9qOcEbrmyXTF1b2G6g6GT5XMvXEVzKWlmp2NNdcLW1zhbTuHfNeVvQVvyfqk9HbNX2dZEBn1tv6v99YGonilxXG4bapNNHsUknzzUefP2ekNNa0/wu2g+lBG18ywPAwgJwySW08kXAtcaGyCyKI8hrBmXf1eX5r/8CTjhh6xD+RO63IHycvqLgu6HZYPu75iHwdVDaASYn0XUtnwubU2Bzxn1hs50b/deBQjZM9aTqsNlDLW8bm6Zr0TffzLMlxAaujhBnwkQibXpitLPNFlMfcAIylJsRXJm6NFsdfUiC65YHVbapDTm2yOW47fShD5nTXLI4p/OutYM7N2z6Tfp0AQebLa5nNtsoctR88k/OHKYQPVdfxt7bKXuKKb8tICj6kNMu3DYMkWPLxy0f2iche9eNNwLPepY+j+32GfVm2qGKGP6ZrcyddwJXX82X0alI5H4LwbZotMsCksdmmRe590GeRDaGLB+yTRlHJmct1pjkEIHQyL2P/hDEkC07DibHxUWwQoiiDRxCYHJ8TU6dj1NJvRVgW6t8xrEpcGSyIdRhpoJT3ic4q+u70GCYazz4BEpUrK3pn4cEqCkEWs7r0uHTdyZSH7IvqM9t5Nwmz5Ye6xSRMg5Ve/O6+hwLtvGu5ivyNFb+aQIluEgZa7bylHIhPhIFoYExHeprSZigVnMHn0CXTcZWQBvRnoSiEBqNLQLcGwU2e23kPpSQ+DrYtRrwohcB//zPfvp94Ircl0r2jSs0cmrTayoXEkGv1eqFi3JYXCjCgbM545R54mOjekMi9ukDx+mk1t0nKNUOwTlOv4YSRFlOrDYNgW6MqWPDZSflWr4uHwD09dXzhwaNXX1GDUi6ZLocXtfVbps8U2DGt+99bga4wAn62J6127V8TvBELRO2r/LKqjbJoAbCfPckky0mcH3jWL50qE0u2ALHNriCaSG2+cwl7lyR84uPOraa2xSFRO63MIqOvsWCIKFUUJwwn8UulDD+5CfAbbeFyeAgxkbqW2eTA2nTxzm983WQVBm+EV8fosiRyS3nupavc1xdbeVzBV1nGwVcgkZ1NChOgO3qPBU2IiXLpgQJXfPEVR6gt49rHMfaJ3TjTweqU+q6Nu6zhqhjYnAQePvb62k+/SGTKxfp1sF0q4TS/6psta91414tR3kVwpeYd3UBPT3mvNy1I6+xquqgzuEY+lTYxpHvWJHzxCD1VDmUOnL1xkTeQQFd//gGRCg2hOR3rX+xESMY8d73xrGlU5DI/RZErGhjbOR13SnPa/khi2WoExKi2+ZMx6iTKx9Xbggo5MhXP8UJ15E5X4SOFRtpdV1/5BBMVU+stncFDEzOEGeMugIjqhzOCZvr6n2MIJUs2xSoiBWA0umj5lFvEtmIAMXJpeoXP01zwtRe27bVyaftVD3U+TZdhTcFH6jjUIaJpJvWKlfwRGeX6XddWq0GDAzoZdvGQ54kjrJu+7S9S28IQm88+IzfmHtaHvujbTxy9VH2cd+x0I5kWc3PCTxx4ZKja/ubb7bbVKsBL3959v9bbqHpOVSQyP0WQh4OXUxQFk6fOlCu5ee9oXEcnhjgtpPcDjFto24Kd90F3H67Pi1UN5DfFb2Y5WKB6/gKh456cmAqn2dbmkiZDO5NAU47mfKGrKku+31Ikgpuv3Dl+Dh9voEKmz7XFXbXWkC5rSG3AYfc6myiBHJCr+VTgicuuNpFN35Uvb7wDRJQZPrsx0Vfy48tkzp+TYgRwJChjitbMJjar1TYxnOMG4O6PL77YyvHWB5BjJh2HHMMMDtrt9P217IOZSRyvwUhLzaxThRjgELGXGk6tNu1fMrpRwz4XMuzOZ2hm53NmX3LW4DTT6cRNq5sKlSHlFuWopczz0ICSC79Ontd9RXp+/YBZ5yhTxOyQ50eyvVfm50csqlLC3XITLLUuc+pk0u2T3kbqPWLsY5xAzNyuq59ubI4ZcT4DhkbnKCLiQDJv/v2v0zG1Z8ugigTRc7aY7M3JCgQ6stw9j1qsCVPmII2pn5Ry5lgCmL4BIds9lLt4gbSbM+5eaj5Y4w53+C6rz5KHkowLJaN1AAbRUY78JlWI5H7BC0OpcnhIvdFvMOkW3Rin2y4QAmY6DZ2V8Sfsun5bNCuNGp+2WH1QSz7uKTXF64NztQXFHLPaQsfwmbKJ7ed6YTblM49sbIRbxO5UmFre+4akMc6QXHaqLJDibPOFlMf2IJTuvwmvap+17V8KnzLqgEKl9MvflfzccaTaZ23naZy29lkt86WPE6GXWmuuVHEtXwdObe1mS3YQ9VFTQ9dnyh7kSsAwdm7fckrpzwnn6ksR2+ILtc66kLo/sCRTS1D8TNsOg4lbmNDIvdbGHlGCH1AWcR9NlPX5PdxLGI53EVebbLplZ/nNRZszmkMkmF7prvyp24Useqtq0vRV9go1w5VUDdJUwBIl9f2zAauMyiX4zqwOh2232ORc3X8u65q+7ZhqDPrsk0GhfTZAomqTVSSI6dx+1e2xUbmTEEiTr9Qxo6ufULGhS14Qi0X4zYMFbZ+jbXvUp/b7KKWiwnKeNClx9iD8g6+yGPsv/9b/5wqS37uaiuqPNt6Sl2Xivb3ZP0++UPmS0zY9Jl8u62ORO63EDgDn5o3j0nk45xRJ7+vTl0+34XaN4oaC7bNLtSB8dkMXCelMSLXVPiSNWo0ObQtqeU5J2vUMhyojkwsfbagmGvsUoita93TyfOZM1T7KWk2fS4i7SPTpEMtw3WqQwJ83JN+9RmnD33WCLVdKAEkynroGjOcYIQc4FDLxVijKYEAbqAiVgDLpcumN4/9m7M2mtrOFpDhrie6NuDCNZ/k9LW1+v991kWfOnLTTfj7v7fL5AQGY40vNejjuxeE+CRUHbHycfMeakjkfgujnQY+lRz5YGjIrjfGlTpqvphtTnGWuLCd6vo4uy6ny1cuB6axRe13SlTex47Y5WwOr5xH51zIgR1Tn1FOzX1AmRu2eepyak0kxyTD91TWBLl+Pk475Tk3mBBrzsVY1yhkV1fGh+CZ8qqn5L4BYWpZn1saFMLF7Ve57uq6yGlDnTwKqIEKXX4Vql7OWkWx1xYACiGSlICBrp24fU09AQ8JMppsse0pOrl5rVc2W+TfQ/qT8ueNbf0b00cU9fi936t4lc/bNwu1Q5cvLz+l05DI/RZEntG3EHCuX3E2mVNPdcvM44TXhNDTaI4e2+8cOT7tTtHtciCpoDgR1LEVCp0cl0MW2w6fEw1X31JP72zOKbVuf/7nzc/yWBt00NVTlh1CaKntpD4zjV9Kn4WSHBH4cdW3WqX/2VHfvnQRF4qdVPJiC/KEngqa8oQEmahz3kXOVZm2AADFjjzXVa4eTh5q3pD1wAZbG+vWI7lMXm3uGjPVKvCzn7nl+OihlI/l29rWYZdedQ20rUt5+ySi/J//+TK7jE5/ntzBVw5lnmxFJHK/heFy+mKenscE9xpsO3wtv10WGRcBojrnLvnq7zYik+c4sxE1F7k67ji7TFM5kz4u8iyny0P5k5EcHSEEaMeO7J/qPHFOdDl6qYEgn3VCB1OAhJrfRNhctoRe97WR6/V1oKvLnte2r1AcR1NdXNfHffY6E9FVdfrMN5t9tlsEuoAtdS66xoHt5Nunz2x9Z9snbDp81zbfWwFqH5t+5rGH+RJcAdueF+OmgQ633QY88pG0cjrSa+qDogInMQJEPmPBt719wd3HWmmDmjeUt7SLL543ErnfQshzosZEkQtdaBAjZoS5KNh0x96YXDLzusXAdQh1+R7yEHceihxueVte+dm3vmUu57r2a3tmK0dx5nX58ozuUzZ7WyBHTuPMjVhEnyNLtcdd99pmXoq+kPWsUgG6u91lZAKuIxu+DhplbOr6XLaFol83Vh77WGBpyW6zyybVFjVQ4SqnPuOcFqr6KIEZ03zn3BYxBRB089UFzgkeZX0qgsDr9FD6lStbLce92UVtg2qVZ5PJHtXW0ECHmkZZ721jxFbOFCT31RuCVt2iKVKmbbzKMnW3AQ9lJHK/heFDgATe8hZg9+649sS4/q2Dq24+BD8kKBDr6lweC6ztRMeXpBSxofk4utT+89nkubdLfPDHf2yWz3XeTGWoNpvaN2bfm0iOms4NbNhsktuLUhe1vPrMRmC4hJY6DmO1vatNK5XGk3uuDptsmyw5gEMhApwbEtR8P/pRndxTbn6YyIxv0MWnjTmBFU7wxdVnMcaDLWhj08OduzFuCvnCFawwrUcUm6g2c4IgQDO5j7H+F31DMvSAw3QtXyef0k95+0a2NG7gKS9wxqup/448EjjqqHg2tTsSud+C8HVOZfT1AQMDxUzsIuC72YXKz+vkmqvLFlTxPTXgyFXzhAZ5bNdXOSc8LrlcezhzL8/ouE62q26mK8/qsxhk0uVUUvr3QQ+i6VLl2+ppK0eVzW0fSiDRt819Agam/JRr+bY0G0mhzkuf67aU9hWybXIop5YUWerJfahMnYNuC+LK5Vw3Gjh9RhkPrjWasm5xAiShJCd0nwqFLehiWiPzXE/EHKCuHaHt5hs8MO3H3D1Xl9/n1cZ28KM586OV9vr6UHn6Ve2IRO63EEwLmU90MM/NjLJQx7pu5LvB+C4UlEhoDPiQVJ8TLWpwgjLGTHlCCTGVwIT0hU2Or47QQJKNPNiecdtQ9yzGuOacstvWMm4AjXqzgRO4oshyzb+QNg0pT12rKNfyTQTRdi1XZ0PsuuhILNWx5QZBXDDdeFHbyWWnKtNln21dsAUcdDZwSbNqI2eNNsmQ00NuE9jmOSeg45Kfh09gG++m/CE3W2ztETJPQv2sUHlqGVt5XeDAdPvR19+hwrWOuuCyN4+x6oNWBdfaGYncb0G4NkMfOTFgizqb8rUSsU6VfeFD4G3lOM4b1Sabs0Ah+yHwCdxwCSqHQMcA1SbfE0wbKFezXc984eOU6E4iqbI4adRxHNr2try2fvGZBzb9Jqgn9y5Zpv6xlXG1oavPZVkmm1x6RD7dOOAQbo6dvoEzLnmQ7aeQZh3yHGuuMWILCrj6RQSm1CCPC7GDO5Tyso2cPvYNIFDLma7ly891pNcGX/8jdA/U5aPIFCf3tsAKdQ8x9S8VPmuFa10y5ckTNn3UPb5deENRSOR+C6OISckFxaZWTlLfNtOVq1aBu+8Os4cDyiYZQkBc5UIJjI9OE5GwlaE+97EpdLOl5AfcJzN5RMltDmeMeUMN+NmuaFNs141Dbp0oxEfn9MWEzVmj/M4lLZVK45XUGOsFlVy5ghg2AkSdE6YTdZsOl702PbZxbNLtqqf6XNWjtqFqp5qHQoA45Ma2RprGJidIZMuzZw89v9qmRfokctub1iqdTT6BK8o4p5BBHajzJWTvdpX12fNdY832Qb1OA8dnC5Udq30oe/xWQCL3WxDcBbudYNq4fElp3oTVVu6WW4CvfMVPvw9cCzFlodY5DBTHKu+bGK4+5l4dDdFPcXjzhGtsum5n2Jxom1ybc2mT7UNCbXCNUV85JlsoV55VW9S2DG0D7rzjOLWctY66hqj1dBERV1tQ9wNKXSj7o+skm2uvi1Dr/q+uay6ZLvtdbWgKnnCDYa71xQSbTNPvVIhyQ0PmtLz2EN0awCG+tt+p5VRbuOUEKhX98z/9U/813OcmRx5EjhpAUk/uAb+go/h/SB1Mc5oq03QTQ8gOtY8Kqo525S2tQCL3WwiUzTZEXig4keV2AMcO20JfVPvnYQNVp8vZy0M/RWYR0WNZ5soKXUbMTT1Uj0okKOQqr+u5uj7TjSVf/aZggK6OHJLsyue6beED14k2R46wRbVN/kkhaKYTaarz7JLtcphtY5VyWm6aC9Wq225OuqojFmGhtI9ufvsEl3xscgV2Yukxpck/Q29NxIKtf2z9qdbFd20MJYP9/XpZPrcuQkEZA9zDCOr4NY2VosYOJR/V3tg2U/1+ly2xblh1OhK534Lgbtw6UIk4F6GOed4oclEOgY10tKvNrkXZBhPJUK+cqvp0MkyyuWm6vM97Hi9/bJgIEGe++cxNClnmyKGeltscFWqgItZap5IFjjzO7QCuTabfqTJ9TwF9xoRJphrE4BJE1x4YOxhq0xcSkHEFvijl1WvfpnHrkvehD9H1qrJNaa4PNsoyXAEdOc21rpjmSQx/hTMPTOOCs6aHzgVVjpyX87V8jl1cgqp7xiF6Oj/JtqfIcLU7dw+I4Qf4+q3t4u9S/VbXutmuvCIPJHKfoEVRiw4XvuTPJa/Icr7XhLngXNmjnljpytk2O3lDc20UFPkqFheBP/xDc7qQm/ei7rvhh+gxpdnGGMc51OWRf+r0UuykQDc2bE6R7hqnLrDjcrwoY9JGGnR5dPlNp8e+Dq6vUxuDePnKMvWLjqRTTsOoesVPTn109nJuHujSbGPERfxlm3T6dOV0+tW2dhFEU3/obPyP/2h8Tqm3C6efbn6nmbt3UWHbw2J8LV/V4yIyaju61kZdWWo6hxADwA9+wJfNGbtU2a5yefoDJ52U/eSMbdOcCN1HOfXkrOMxbYwh5557gK9+tVlWq4IR7YBE7rcw2mngcwiY61pUUfBZOGOCK5Pi/MTYaIvE/Dzw3e82P6c6R3lFpmOf5HDL+5w0UoisaDMdCdA9ExsuhWhyYSNhvrIA88mprk19bDcRvTycUbkuIe1MPQWk2Gkj7JTAkUmm7xpmCyZQ9AmIa/mcNpDttfURJRihlueMJ10bUOaEy24qqOX7+oDDDqMHQzZyGPW49glTEINKxENgIuyuQKZqn61cbLzjHbz8JptC7XPNF8pc0sE1HgDg/vdvfBZzz/NBCBHXBZJkFOnnyP6HDj/7GW39bSfekycSud9C8FlsTM/z2Bx8I4cx83LRSQsFJ5IsQ3c6f+edbh3y7xQnSHVmYvSx7VSKKsOWjzKXQsmrbzlqgINri8nB1+X9wAd4elz6Xc6XLU+IDb5Okassp4985LjIqm2sUuvMuf5rI0yqLFMQhCKbYouqlzMXbLZRYLvJpAZkYhAd2++6NHUOUduH2hYcf0Nta9cpNXe+qKTBx+cJIRRc38uUZiNe3HlNGTOccfSzn7nL2fZ86hzg7r2+45AqX83r4xvk4WPG2I91fmFe8J0LneSfx0Yi9wlatCICxrk+Gwu+TntIuSIXRRmuyKcLotwvfwk88IGNMkPk5Q2bw8opbytjc6xMeTh6Y8E0r6nXOtW8XD0ccE4iTeVUO3QnvOqcoK57Pv0ZcgIvy6GQHJctnOe+8qgw9TU1QOPKbwsOmBxu3ZymOpmU9jWNOZXU2+pkC5S4bDLVz3X666on5RRZV54673zmUMitQBt0czEUea0r1AA3NXhiy6PiPe8x69LZHxqMAOi3GDgyTc85Y5vjG8TwAbh+jq7tiyDQFDmcNdhH/qGERO63IFSn1jRhbJMhr2tdFJgWxwsvBN7//tbaUSS4ixXlqqnA4qL5eqbPe4bURTmUpFCcZ5usvDYAF6Gmgrp52YIQIQTT1kYxgxecdckUWPElv7oAgCu/zUZbv8hzzDZHQsYPp+4TE7zyIcEA3XhykXOKDT7BqXKZNzdMfb62pr/VpI6HWCTSRrxN9qoE3hbsVE/uKeMwxrrGna+ucrbgjssmeYz6yKHCtI6pMO3LspxWEZlYxCv01hUliGF7zlnTVXCCWrGCJzZQyTpXFictFNz9mNO+hyoI3x6l49Zbb8V3vvMdTExMYOfOnTjhhBNw9NFHx1SR0GYInShLS/H0XnklMDkJvPGNQSYF25FnuaLkr601/k4lSpyNKeZG4SJ4OvtjOEF5bB6hDqSOKFKcJSop0pEIdUM1jQOOXh9y7tP2JmfAdcODM35cV2QphI/r9Olkc5zm0DnICVToynGcYhv55MinwFS+VgNWV4ELLgD+f/8/uwzTCbgryGOSo+tXDsnW6acGDuTypt9jpLn0uW4xmKDW17RuxriNpQMn0KD+bgraiDRdOd+1htLHrr3LZFORoJB06trFWaN8xn2stvEZY668vvMthn5TOUrQZasgCrmvVCp4xStegc985jMAgNpGC5dKJTzvec/Dpz/9afT09MRQlRAAjlPDdQ58cfBg/f+uk0Fhlw2hDik1f4ieohYZmzPCscF1IkQdT77Eywd5kG4hg3oFUtVblBNjs9GUZiK4LofXBu4JuA42J95VxnQ92EcvNU2XJ3TNcPWnTbbLGQ0dkz51so0/12mlCZybQTpiTQkkcfogZK2T28JFHnzIhmstdxFElz6OfhuRptjNDTjo8rsIvA2moECRoK6J1MBXSJCRG1CirNE+QSrdM6qdsfcLX5kxEHqLhrp2uNJC8/uurTH24U5FFHL/zne+E//2b/+G5z//+TjxxBMxNjaGyclJfPvb38a//du/4YgjjsDf//3fx1CVEBFiY+KcFAjkTVBdiy9nE8hrMse4ftgKhBAt7lih5LW1IzXYQ3GC1Tw6x5jiQPoEDlo9VihE0QVX8E0m1T622/pHttvVHzZiQCEN3MAXJ5+JjIWOn5hOl68eLlzXi0sl/liynYjrdKjlKLc1TOncPqCMYznNRuYpc1In0wbTHuuykyLHVHcfB5wbbFXlu9pOR+B160ooQtYCzo0cH5uoOt72NuDss92yXGmqLm5wkzK2bTcbXDba5KvrGmW+2GSH9mUeBDcPPzaWTF//41BDFHL/2c9+Fv/wD/+AM844o+H5c5/7XDzxiU/E2Wefnch9GyGPhb+VMmLKyUtv7AXbR4aLRPvmpaTZruPpHCQXqafYIss0OeNcp4x6+hEDPkEEOU9IEIebX+ewhJzcu8pRTl58T3yoBIjqCOps49rhssUE6imwzZZQomXSS3HAXaRK/N918h8KLjmnrEu6vqYEI0LWF1M7udrQ1b6qvSFrq8/pOeV3260Q3VhTy3ADOlT47HO6+aPbT3X9Qukb7ngX2L4d6O+nr38UIhbbt8vbV6QEHHz9xjwR6m/kCdsc1u0FurStBvIH9Z7znOfgvvvu06ZNTk7iCU94gjbtf/2v/4XJyUk/6xJyR6xIXkz4kEdqeqz8oQ5WiA0hiO2MxI6ScoIMlPKc/D4BGF8S5yOTU45784XSj+q1YW551UbbM45MWU5o28k/TU6Cmsa9Eqsbcy6HO/R6dJ4ne666mWyR6+QKQlBk2tZmXf+qbU9d20PaTh2jtlNYHdlV28l0U0Eu5zPGZBJI6RcbOP1iykeBbjy5bODOZR2KJDcqqDdOOHooBIojj/IsVlCOSqgpwWGKDuqawV0jTfp84RvoVp9R5nKeoO7xsXyKTgaZ3H/nO9/Bvn378LGPfawp7eijj8b555+PxcXFhuerq6s477zz0kf12gQcIkJZrGJPEnVz5uoueuK2qyNAgU/kngJRTnyQT+dM63SEtotrQ4pFPqen9X8tgBIkiB1Y8cljc/Ap5ajlbaSPCgoh1slW1xD1ZM5lE/WaL5eE5tEvKoGjyowNmQy68qlEROd0+9rt04Y6va4AVqlkb3uXfhcpN41xW/vY5putXjY5upNWGbHJiWve6Oa8z75PWQt0e5erX6j6bHlc+4Wr73VlY+xBJh1UmZw2pz63pVPmp84m175CsUfOY9sXfWX7gkvOi/RXY/lHRe157Q7ytfxf/vKXeOMb34hXvepV+OxnP4uPf/zjeMQjHgEAOOecc/DMZz4Thx9+OJ7whCdg9+7dmJqawrXXXouZmRl87Wtfy60CCXwUTTZilHdF7ELJqC98NrZYQQjf9vAlNZxxMzXlzkPRFZrP5axzcemltHwup5iCkDFtGmNcZ5wqI6+rcBxZur52kSpTHpdNvichrnbiED4KSqVa9HXCliekXThBDGowwzVWqeAGwCnrko4gys84ZMqHFOlIByXI5Opz3/2NGtjhzCEOXGNFZ5fPn4Xl6tXl0flDlH4R+Tg3OGw2mED1MWwHNRSEjvsQcAM6unnuQixbY8vRjQuuDk5+7jiMyXE6FeST+127duGiiy7CFVdcgbvvvhuPfvSjce6552JtbQ1Pf/rTcfnll2Pfvn248sor8fnPfx7f/OY38eAHPxiXXXYZ/uzP/izPOiQEwEYE2gnnnAO84AV+duZBNtq9vYAwp8u0cakyTDLLGyuLz4bmA/0Cr6+ELTKf5wbFRYjjyrn5QiWrHIeL4wiaZJiceNPJlTzWTPkocJEsG5aX6+VUmS6bfG4rURDq/FDy6E7JQp1/qgNpGyum8iZiK363jd+Yc15nt+t03rRnuwJ6OgKvkldTG3CIv+1mhvp7Xvupbp+i6OHOM9FOMU4LfQmpbfxTSbYrP3Uf5xAvKuRbMi7EGEc+AUrXmOYGzHR5fBB6qFCkv0uZmxQZMW7RHAogk3uBpz3tabjpppvwhje8Aeeddx4e/ehH45prrsH/+T//Bz/4wQ8wNzeHu+66C7Ozs7j++uvxjGc8Iw+7EzzgGymLIY8CsXHo5N59N3DHHY35TOWLQugm0CmwXSFVIdLKhJWFShpCx21eG6dJTuw+DiVMgPvUhkrubcFAE6Gl2mjS55Ihrxk+6wLn9Eh1ctVy6o0VnfOvc5R911vxzHWCmPdVRW6/ip+m9Z5yAq/mp5BP0zMd2bWRZxspd0FHgE0k26RDd0tFhe7UmXuzIbRd5d8p65h4fvXV9oCMCS65AD1AbbM35hrPqafaF6ZxpLOXu96Y7DTZ7SuP2/Z56RG/U8ZQbF86hh6Oft+gi61cnr6trV9M+SnPDmWwyT0A9Pf34+/+7u9w/fXXY2hoCE9+8pPxV3/1V5ibm8PAwADuf//7Y3BwMLatCZHA2WxbhbydUYFYGwcHHLIcW7dsQyxQnXOqg26SSdWtsyPkZNe3j9XyIZu8TzndGPMNDnD6TuQPbV/fU24T2arVGklwiIOjOtjz88D//b9m55p6qmrSR7VNRYhDz20LSp+b8pgCR6a10tSWvidVarlYJ16m3ymEUiXWnLFCsdNkk4sgqtC1nc/+xhn/Ntti76fyemLr19g+FHU86eYN4D9GqGuGbd+nrq3qPmlau13gBB6oRNFlL/eEWNZLCSDYngHAhRdmh14chBJ4jhwuajXgec8DZmfd+Uy/U+xsN66TF7zIvcAjH/lIXHvttbjgggvw+c9/Hvv27cPFF18cy7aEAuByiGyOd8xJQnXMTItjUROW4mC1O0JJjeqA6uRQHC2XTk6fUhxlioy8xpHQf9RR9DKxyKfOlljBE2p5H2LpS0xt5cplu9OllpfziDQ5j3h+993Auec231hxzRfbSaqpnI/jqyOIqg5bed3/XXb6BiNMsqnlbMEAGxFyEQLKMxdMbWkj9aaTdIpTqxvbqkyRz3ULgNo+HNLjuz6ottmeqW1BradJtgxZZigo+yo1v62cT365XOy+CskXIoOy1lLLuZ6Z1u+Q8f+KVwDXXmvPw2nH0DUuhu/0xS/qv9fE3f85zw9VsMn9ysoKbrjhBlx33XWYnZ1FqVTC6173Otx00004/vjj8ZznPAcnn3wy7rnnnjzsTSgIrSCvVLJnm7xFR+W4JKnoIISMWO1DkeEiOT4yfWEiNDHbwkWABE4+GXjwg8P1ukA99ZbnFMWxsyG0f22Ey1XOdVXVtXZQbVJ12P6vK287seUEZNT8LjvzWst95xB1vgD0cUfds6hzwxSIyWtv1I1Xoc9VRv2/Djq7bSRPJsK2oICurEmmC9w1hJrfJ9hJCZ7EgCvwpMLV52pAR84bsg76tAElKKGzietX6X63rZG22ym2QBnXPm5e3dynzn8OQtdtU/Cw1bD5eO1kZxFgkft3vetd2L17Nx772Mfi8Y9/PHbv3o1XvOIVWF5exhFHHIFLLrkEX/7yl3H99dfjqKOOwoc+9KG87E7wgG0T4TqcsZwb3UIfexK2ilSaUBTJpjqxrrw+dphOCl3lKGkcmBxmnZ6YY8HkdFEQ2ma+5V15bKeG1BPXvB0km0NPlaESGlUGJThEbXuuTeozl5yQtYZjGwe+p4ZyHlPQhCJb57zrTmxt/aWTRyWDOtKsK6PT7SrnIrS2fV8nm7JPcAmUK78K7pphmws+smXy6UvyQ/ZqlzzTuKCMEYp8l52+a51vW+pgI+Rc35YKbrCbs3fHssFlkysPxy6u7dz+N60npnxUvYcqyOT+ggsuwDnnnINHPepReMMb3oAzzjgDT37yk/HJT34Sr3vd6zbznXLKKfjFL36BF7zgBXj961+PJz7xibj55ptzMT4hHK5FzrUg5UWIXBt9zI2BAzVAcqjAl2hxCFQefWQjtBRH1yTP9YyDVowV7vxxgbKhqrKpxCXGmPEhoiYnhkNobMRF/E6ZLz5jjNM2tRqwuhpHL9UWilPtIn7U9cU11tT+Vfcu7qlhDGJgIsKmIJpcjhu0oRBblSCagh3cNZKyV4fURdcmtnlmC+TY+kWHajXuHPIl5NQbKy45rvmp5qU8c0FXzxj7JWcP5PS5SxZFZuz1NwZ8CHxRfk0R4/BQA5ncf/jDH8Z73vMeXH311finf/onvPe978WVV16Jiy66CBdddBGWlpY28w4PD+PDH/4wrr76aszOzuLYY4+NavSb3vQmlEolPOhBD4oqdytDtwEXTUhsE5JymuB7ShX71NqWz7Wx5AnXzQjKdT/5pw2+m0CeAYA8kOfG4ivb1U+UEz1qOZNtoeuHrTzFQbI587q1jhscMM0VKunX2Ws7LXaRK5tMALjnHuDVr9bnocihpHHGvUoiVYLmcrCpY1uXz9YX1FsFeZ4OuW4h6OywtZNuLnDnslyeYpNrTnL6lbpnuoIInPVQl19HemOQUdv4N9liemayT6fPx06XbFMZAVuw08cm38MF07wJGX+mNM7aoasP1S+m2mN6Ri2rPi+aSLva3hU83irEn0zu77zzTpxyyilNz0855RSsra1h//79TWlPeMIT8JOf/ATnnHNOmJUSfvCDH+ADH/gAOe/JJ5+MsbExbNu2Dccccwze/e53Y2VlJZo9nQh5E/Fd6GMRf3XBdU0828biu2EVPdnzaLui9LquJvqmqfZxNw+X42ay26bn+9936zWVpTqMHJmccq6TK5s+V59Rb0HoZHNgI7S203UdAXfBtA7Zxoz8f5tOuc1sa5zNUaUQJpNM37XSt89CwBmblDQK1OCJsMPkGJr2DI5+lcxR1zjX6brJFtP4VOeNKlst50M6qSQ0z32Rsj75EpkYtvuW191aiBVw0P1uC/rL6TGDLzbE8A04MAUjYs6DmP7ov/0bMDdHs8GWJ7R+FIT0pW++Qxlkcn/EEUfgq1/9atPzL33pS+ju7sZhhx2mLdfd3Y23v/3t/hZKWF1dxcte9jIcccQRzryf//zn8aQnPQn33XcfLr74Yvz85z/HaaedhnPPPRcnnHAC5ufno9jUSWj3Ac+5DtUq+Doj7VCnPGxo5Ym8S67P5iPnOf98ejmKHqrTxamTKS0vsk0tb2p7LgGiytc955zq6PRSyJLp/74Oki8o42Lv3mb78lyXQp1qSrBJlqkj6aZytv6kONjcmxSUIJWpDq48JmJgCsKZ2tN1K4XSn/Iaxzkd1cmjtK8uAGGzyTZG5DwmW1SZseaP60YFJfAk/9SVpx6e5Lmn64JLOp09PTy5eRLpmPuxbs66dNvyUPpqcdFum+2ZK09RJ+HUdo4RaDtU0E3NePrpp+Oss87CN77xDTzucY9DuVzGT37yE1x11VV44QtfiIGBgTztBAC85z3vwd13340Pf/jDeP7zn2/M95vf/AannXYadu3ahcsvvxw7duwAAJx55plYWVnB2WefjTe96U34+Mc/nrvNnQLuBM1jAlHJiWmDUGXo5FLkceBL/CgOawhCCaaPbFde2wbsSwSoGxLltJki66EPBY4+2l1GdS5jtbcvkdCdxsmI1c4cmRTZVAff9kx2IE1OPxUugkA92dLlcTlKIevE4x4H/OmfAp/9LL9sTJtUMiacV7Xurst1PuRG1W8aIxSEBugoBJNyqu+a17ItskwTyTc9U/vMpMMGah7fPdU3D7VOrrntOz91/RMq2+UPUcevbYzE9FtUmUND8WRz9NuecQi5Lb9tHHH9BEr+kH6y+ZGcgApHtg3UYEIIHzhUQD65f+tb34rzzjsPN9xwA/7pn/4J73vf+/Cd73wHr371q/HhD384TxsBADfddBPOP/98vO9978Phhx9uzfue97wHKysreOlLX7pJ7AVe85rXoK+vD5/85Cdx55135mhx+0J1HFyblk1OTFAjyybdPgSK40y85CXNdvggz+uHNj2UmxGmdpXbiULSqUQvdltwnH6fPrz//YHt2+PIciGvMUYhAaZyFBJBhetk3kWAKOCuYy69qhPmyifAIZ26PLJNPnPG54QlTyfINcZuuQVYXm585rIplFzp7JDzyOtgqNOo6w/KmLHNQQppoMxh01jTlaPsw5Q+owYndDAFQyj7FMVOl/0UsuyCuk9xSJtpzbIdgvgENKnlxLyVbZSRR3BAlm1qQyrJ9vF9ff1lnZxWkU8fQhzzkC8G58hjf+hUsP4U3llnnYXJyUncdNNN+MlPfoLp6Wl84AMfyP3Uvlqt4mUvexn+9//+33jZy15mzVupVHDxxRcDAJ761Kc2pY+MjOD4449HtVrFV77ylVzs7UTEdIx80e7XaT7zmcbfOfa2w8ISo31N1xYpsG0aumtroW1G2YCpm/T73mdPp8jgIo+oM9ex8iGvOgfbpy6+wTrqKS5Vns6eGI4yJS+1nMuJjhWQ0c0XU6DDxyHU3azg2EY5kdb9HqKXapsN6gm8qT9dN0e4UMeYaoucRu1PyjjwCT7K8rhrh+mGgzo+XAFxyrpmstllry5PpdJcXrf2cMevbV3nBk4p8830jHtjhmKD+N03yGPSAfivyZyAl5rPlpfSbrbxTtFv+91Hpg9sey0laLMVQb6WL9DT04OjjjrKS9mNN96I1dVVPPaxj2WV++d//mfceOON+NnPfubMe+utt2J6ehoAsG/fPm2effv24eqrr8Z1111nlbWystLw8b3Z2VkAWbChWq0SrS8e1WoVtVqtycZsoyhvPC+hWq1tTIzs//W08oaMEqpVbKQ1Ilt01HI+ttZtqtVKqNWEvlKD3lqttPGzhlKphEqlrrdUEnWRywuUN/oLTc/ktmgup0MZlUpjOVP7mOpZqdTtFbG1RpkUlDdkmsvp+7W08ad79O2b9WmWv1Zrbh+xiKoys7HWWE9hW6WijqPGtHrbQ+oD3XjQ17NxTMs/a1KeasOYqde/CnX8yf0il3/zm8s444zq5jgU8uXywrzMWdG3vdh41LaQ0VyXeh5bmhhH8hiTbZLni+jnrN7N9ur6s56ntDm+6nrltqspBKS0aZsYV5lN5rpkaY3zvN72jW0oxpgYo2LMqPYKm5rbXl4H6/XM2qleD6G3Uqk1rDm6/hQ2ibT6+Gssl6HUsCbX26DWZJMYv/q5qI6jmlTf2ka5kqSnpG17Mc/Ma7N+nzDZJPpeyNb1i2hXdRxl7aC2kzoeakqf1dtXHX+Na07jHiL6Vej71KeAN7xBXeua69m4fuvWdLW9RF1qTXuX2N/UNLkd5P0xy1NfV8R8EWuAPG7Vcagb0/U0Wa86lxrTTPNU7bP6OJDnTfN+Ks9FuZzYZ5rnsN4mdb5kPxvT5PWwPlbkfrWvHSaZKhr3xUZke1ipoQ/EePjFL5rHmLzW6caD2ue6vbZel0aINlTHQ7aXZOUb26d577Ot6bp9se53NLZ9o8yS1t5qVaxn6jiqGf0O3Xom16XehmZ/RdfnNh+o7ifZ9wvd2Jb38QyNdbG7jaLthW3mcrKPqtZFXc/qefRtQIHaTmbbGseKvNbo9y51DtfLA2r5zgPVbja556BWq+G///u/cckll+DSSy/FHXfcgXPOOYdF7m+//Xa84x3vwDvf+U4ceeSRzvy/+c1vNv+/d+9ebR5xrV/Oq8P555+Pc889t+n5gQMHsCzfPWozVKtVzMzMoFaroVyuO3wHD5YB7MH4+AEAezA3N4f5+TJqtQFMTEwCGMP4+DiAvZidncXqaj9WV0sYH59q0jE/P4hqdXAzf/aTj4MHuwCM4cCBA6hWd2NhYWnDsR9qkLm8vB1ra92Yn19BtaraexhmZ+ewstKL1dUujI9PShr2YmZmBuPjKw3PhN0zM7NYWelHtQqMj087rN2LAwcOADgMU1PTWF8fxuLiKsbH5xzl6vU8ePAgarXdGx903A4AmJycBLCb0YbZuM6CTTu05ebmBgAMN/TP2tpOLC+vY2GhglptYGMcZKhWx7C4uIiZmQqAHZv1HB8fx/r6biwurmB5uYS1tW5MTs4B2IXx8XHUanswOzuP8fHFjbr0ANi1WV6Mo1IJmJiYl+q5F5OTk1hbG8bychUrKyWsrQEHDswAOAzT09NYWxvE6moVU1NLAHZq6ynGdDYedm+25dzcHFZXa1hf78bs7CKq1SFMTc0A2LXxZzsHMDc3g/X10mYbrq/vwvT0PIBRRcdBZPNmHJOTu3DYYesYH59p6NfJySmMj68ByOZGrTYo1XMK1eoIFheXNzbvfoyPH4Q8DmWIsTE9PQNgdLOfM30TkOepXF7UXeibn1/c7Jf5+UEAw5icnMLa2nbMzS1t6JjG3FwP1te3YW5uEcB2TE1NY3x8dWOM9QPYgenpGaytDWJmZgFra0NYWloDkN3YmpqaQrW6AzMzswBGUasBi4tLWF/vBpB9GWlmJqvL3NwCgOGNMToHYAQTE1mdZmez3wFgYWEB1eo2TExMARjD/PwCVld7UCoBS0tVrK314MCBSQCHYWZmBqurA1hZqW2kdWN6OrNzZmYeq6sDWF6uolQCVlfLmJlZBDCKyckpALuwurqK9fUygB7Mzs6gUhnG5OQMKpURLCwsY3W1d2PeVFGp9OPAgQnUamMbY6wPADAxMbfRL2Lcz2B1ddtGPVcBDGFqagrr69sxO7uA1dV+AECt1gughOnpGayvDzWMv/X1dQA9mJqaxPr6CGZnFwGMYGVlZbOes7MLAEY3x0rjOJrD+novZmbmsbY2hIWFFVQq2wB0b84B0QbyOBLzTIzt6emsfUulGqamFhryHzhwACsrI1hdLWF5uYK1te6N9XcvpqYy2fL4zeo5jKmpGVSrWfsuL3djbQ2YnV1qGA/Ly0tYWRHOadZOU1PTAHZujoesnmtYX+/D1NQcKpURzM0tYnW1FwCwuLgOYGgj4L+zoc+mpxcB7MTExCTW1kS5bVhergDow89+Vsb4+H2Q5/DCwjJWVrqxvp7pBYY31wcxN7N5I6/N9X3jwIGDmJvbhvX1vs2+zta6IaysZGvz+nr/Rl22b4zf/s26VCp9OHhwerNds7GdHe+urXVhZiYbD2I9W1paxfJyGWtrXZieXgAwgoMHJ1Ct7sT8/BJWV7s37F3G+voQpqZmUamMYH5+AQsLXahU+jA7u4hKZRATE9k8n52tt+/c3Bqq1cHNPhsfP4DV1ZGNgFjWZ+raLMgogM3xNzExiVptFAsLS1he7gKwbXP8yONhYaG6sS5k+/+BAwcBjGFubn5jHHVjdnYZwPBG2h7MzMygUsnaYm5uHcD2zXma9d1uzM7OY2mphGpVzInM3kplBxYXl1GpANXqto3xV7dpfb2C+fnlBpt0+9TERJcxbXa2H6XSCA4ePIhSKVtX1tb6sbxcxdTUPICxTX1TU9NYXR3EykoNCwvrqFSyNbJW27m5hiwtraJSASqVPkxMTG/WZX19OxYX19HdDayv92B8fKLJluXlEaytZWtkqbRjo30ym1ZW+rC2VtpcP+U9fnx8eWMuDgDYvpkmr0tzc/Mb/SJ8qClUKtuxuLiKubkKarWhzXpOTk5ifHx9Q6bsazZidXUUQN/m/K6Ph2yer67W7b3vvkbfFqivAWKeTk1NY21tGEtLa5iaWlbSprC6OoSVlSpmZ5vn/vBwNg9nZrI9U6RNTEygVtuFubl5LC5mc2pyMusXMQ7n5maxtNSL1dUeTE7OAtiF++4bR6WyG5OTM5u+RYb6vj87q/q2KvZifb2ywVfqbX/w4EGUy40kcW6uhGyNOoDV1drG2NwGeU0W5efm5rCwoHKHAxgcbA7AmCD0yX4SsAsHDx7Etm2ybXs3xm+2PszOrkO3tgLA/PwCgPp6JPrgS1+axuJiH9bXezfmhH4udgLm5tx8A8iB3C8vL+OKK67AJZdcgq9//esbA7uGhz70oTjjjDPw3Oc+lyXvFa94BY466ii86U1vIuUXp+tdXV3oMXxyU7xGkDmcZpx11lk444wzGmQ/4AEPwNjYGLbrXrxtE4jo49jYWAO5F9G7sbExlErA0NAwlpeBcrmEnTt3AQD27NkDABge3o7e3izyKZ7JGB7Oyok0XR4KxB8tGBsbQ1dXCQMDgxgayqLGssz+/hJ6eoDBwW50dZWwa5dq7zD6+0vo7W22Zfv2EajmiTzbt2f1rFRodRgby5y3HTt2oKenhIGBbuzZs81ZbmEh+7l7926USiUMSV+M2blzZ4NNVAwPbzeWG874U0P/9PSU0N/fg4EBoFxuLFculzAwMITt22sbdo5tluvuLmFgYAArK9lXbHfsGN1MK5dLGB4ewp49WX1GR9FQXoyjchnYubO3wabR0Z0bNjWOTQAYGcnat68P2LGjz1jPpaXsp2hD8XN4eBg9PSvo7u7B9u3b0dVVwuiGcf392zbyjGxeexT1HBkZadKxe/fuzTw33VTGscd2Y8+ezKbJSaBUqmF0dHRzjA0OomH8jo6Obo7tUgno6oJ13oixsX37yMbP+lqjjnu5vKi70Dc0VO+XwcEsz44do+jtrY+/HTt2YGgI6OnJ+lE8E2KF6pGREfT2lrB9+wh6ekrYtq2+dYyOjqK7u4Th4czeWg3Ytm1bwxePRbsODQ1uPhveGKRi7RG/A8DAwCC6u+vr0uDgIHp7s5ONgYFsHNbHSmZbXx+wbRvQ25s96+nJ7BVppZJI69m0GwB6enrR1SVsGkF3d2mzDTO9QH9/D4aGsr7L1tUShoaG0dtb2uiXbGwLm4aHRzbThoZ6USplMrM23L6ZJk5cRbvK46+7u3ujP7J5MjSUtU9fXx+2bcvaQLS5GCsyhoaG0dOzvtEGZQwMZGsnkPWPGA9A4zgS/5+YqPedaMPR0cY5vHv3GPr6srT+fjSsv6J95fE7MpK1744d9Tkh+mZ4OGsnMcb7+7ehN1O32U4jIzs26jbY0L49PZnM7u5sbIu0gYG+jXru2OiXrM9qNWBkJBO+c+dO9PaWNtP6+no29enmcG9vtn4ODfVutEG2Pgi7Mz2Na7NYD3fv3o2hIWyMgx2bttXX5trGONiB7u5srPT1lTbmVB96erL5kq272Tjq78/Gsxj3Qm93dwn9/d2b/TIyMrK513d318d21keiDXdspA1hYKC0McaGNubEzo15PtTQ9vJ+PDaWjQcga6Os7RrX5pJ0b1aMkZ07d6Jczmzq71fT6uNhcDCbg0Jftp9ma2Z/fwnd3cDwcDdKpXq/jIyMoKurGwMD3Ru+RX2eiv14eHgIXV1AV1epYS/p6iph27bMpnK5Pl+ETV1dXRgcHGywSbemi/3ftFeXSsCuXbs3fh/enG+7d/c16NuxYwf6+jI/Z2CgD11ddTvF3Nq2rRt9fUB3d+O+mK3bPejuztJ0tgjZYo2st+8w+vqyALxIq69127Fnz/bNumTl6muzgNhzRJqYr9u2dWN4uNYw93fu3Lm5B2XrbklrrxiHYn6r9lYqwPbtPQ1tL+ZNqVRfA0RafS52Y8eO/o161tcA0S/Dw30NY2zXrl1Ne6boz127dm3sF9mc6u6uzwm5Dbdty+abGPfCv5J9C4G6vc2+rYru7i70b0wq0fa7du1uKifm3djYGMSnykR/1uebsHcY8/ON3GFsbIz1IcS+vsa6iHrv3t1s2+jozs39eHi41lBO2ARkfkKpVLdJ9M9VV41u7pkq1+k0iL50IQq5n5ycxGWXXYZLL70UV1555capAHDcccfhDW94A04++WQcc8wxbLmf+MQn8N3vfhfXX389uoT3VSD6+vrQJ0aghHK53ECa2xGlUqnJTrGnimflckl6VlLSyk1pjfIzJ14tx4UoViqVJRuFzLre+rtlpYafal1km+o6ylDNk+tZLmdXhHT1VCHslOtLKSfXU66jSSYFch3MeertVCph85/O7lJJPw5Emvin5snGWl2GWr5e1iy7rkOVbR9j9bLlhp/1MnJa89gRN5zK5bJ27OjsLZdLDfLrz+R66O02zbfGOqn6yqS0epuJZ/p+kdt5fr4sjYnsWVdXWapXYzl7+4g03Xqh2uaup6xP/C6/T6em1cvW1wPRL3JZdYzJ9jbXpVGuKC/rkPPr1k913InyQD2opW/fkiHNrFdGllba0FdqIFWy7Mym5nGk9r1pfSgpTSX3i2qbPP4a15R6e+raSbUNKDf1h/pThjz+1Larj626Tc1t0bgOZmNKv57pntn21cZ9rnFs1W3Ujd96mlxetbduU3O5crm+Z6ptqLNJ/l1ni15v87pkaie5bHPb6/Ta0tT1qKS1V6x9zfO1cc/UjX9xlVrXBjLkuWRKU/u+VAK6u5vnkmpTc31l2Wo9m9Nk6NY4OW/j/Gz0oeTylDW9cU6VsLDQOCflpjLtzer+r/qDrjVLt1aZyjXuXY1rutwGal/L/odprMhjzeZfCaj+qw3yNw1s5eS2VOuitm/jftHcBhSo7aSzTd0fTf1Zr0Oz35DJoc3TTgDVbm9yf8cdd+CSSy7BJZdcgu9///tYX19HT08PnvzkJ+Pkk0/GSSedhPvf//6+4nHvvffir//6r/GWt7wFj3rUo8jlxClBpVLB2tqa9vR+ceMPP+pO6bYC5PdIG9+Nbc5ThC06NDtn9o+L+NortwG3XJ75Y0BXJ5sdjU4iXQ+lbpQ8eY43nWxq+9g+2KKbPzoZvmOT8kyXZtKnlj/1VOCd72xMM9VF1JMqO0Z/qjaJn7o1Sy2j9pMpn/p/Uz11eVz26sq58pts9llzbO1EKU/VwUHdiWzWY1r3bTb5rD86Pb6w9aGrnNoWqkwV6ti0zUl1PZfHg7qfcsahLo26LtnKu+YGdQ+hrL+6MeczT+RvTYRA7RcBnR9v6mu1DWVZPmuzri11e18ITOPQF77j0JaHuzbb9iXXmq62hctmavvH2gN046GovuP0n5pX95p6URynVWCR+xtuuGGT0P/85z9HrVbD8PAwnvWsZ+Hkk0/GM5/5zGjX1b/1rW9henoaF1xwAf75n/+5Ia2ycZf2zjvvbLjePD8/3/Be/v79+/GABzygSfa9994LAKR3+LcybIPfRbZ9QHHYdflcTjwFPuViLQxF2ixg61fdM2oQRoVt06OQHl/YNiEqOaUipA0oiB1I8iF8rsABtQ2oen2IKWUdMOWhBEZMcri26XTKz37/94GHPQy47TZ9fp0jTyWDFBt88sj6KLKoDjM1wGEiRy471PI22zh7nstRVfWZ6qmOUZXUm/SZfqcEA0xrpal9TX3+yEcC//Vf+jQZmsuRWnDWNZOdprrb9gZKECQ0iGbSq55gmnTZ5h1nvdbZ4gpk6p6Zxq8pzQZb3XQyuIEyk9xQYm3aU4omlLp9Ik8iHhOUeUaZC+L1S13+QxVkcv+gBz0Id911F2q1Gvbu3YtXvOIVOOmkk/DUpz4VveLFrYh49rOfjSc96UnatB/84Ad44QtfiPvd7374zne+05D28Ic/HCMjI5iZmcEtt9yiJfe33HILAOD444+PbnenwRW96qSJ4Hs6GnJKzSErsj5XubW17N3CPG4OuRxP0zOK7TGCABy4NivbxpYXmXflCYm2U4mFKQBmayfqCZbNIVJtsJXh9J38zOXQxThdsunQ2W1zKFVSZtIn0sbG6u8/qmkce215iljXOQTX1T4yjj+eR9xkW2xkg6pf1qfTYdOvk6PKpIwVlyyTjZTyunXA1b6ybJHn+c8H/ud/eKScu+Zx91+OTLW+1AAdRb8pj9oHOnJP2cdM6xeFtLpkcn0Z1Qad3NDgvq5/fdYCk40mm0LbUv2dO8Yo65WPj2p7ZvIT2ilgoNqdTu4t6O/vx5vf/GacfPLJePzjH5+nTQCyDzbIH1iS8bvf/Q5A9sGhhz70oQ1pXV1dePazn41PfepT+Pa3v42nPe1pDekzMzO47rrrUC6Xccopp+RjfJvCtihzFkcg30kRYzPnlPGZ5Hk7x098InD66cArXhFPZsjpAjcA5NpAdb+HkjDD9zNJG73pd9Mzqk1UO2Lkl+Ezd6lOOJc0hIASiBEOq/inI0cuYmty6OXffUignF+tCzcI4du+MQMcPnlU2EikSabcdpzP75jGj44IFwFKMMN1um4LAJjazjR3VcJnK0+pl02faU/wDWaodXCRV1fb+PoWMUiCrX90edX/u9YXri0U3ZTfqbpi5VNB8f1c+XV5fIgtVzZlTBZNTnXraMi+FDuvaS526F+9CwL5XPCWW27B3/3d3xVC7EPx9re/Hb29vfjUpz7V9EX8D33oQ1hZWcFLXvISPPCBD2yRhQkuuMiJzkEBilloTHb46tPJuO227EvsVBmcNEp+anlqxN30XCU4lKCASb4tYEVxVHydO904CHF6fPuVksYl57o21LUbpR9l7NtntlXVR31Oyee6TUDVYyMivb3m+eQacy5SR7WvLqvmPWZ0eWLIso0/Tv+YZFLIjc1J5fSByU4qITWV0c07lQhz9jx17poIrYl4m+z2mUMhe6YrCCHrdbWhDiZ7Te3kWxdVlskm7rV809psm3dqfpseU15TGmcOc/Lb5PgGiVx5VdmcmwE+NlDLfPCDwK23mtN1ayp3HYsV4OCCGhBxQf42Rh52tiM66nOBBw4cwP79+zf+Xmr27v3+/fuxf//+jb8NneGhD30oLrzwQhw8eBAnnngirrnmGtx22234x3/8R5xzzjk47rjj8P73v79FtWg9dBt4uwx4Cgk0wfd0KhbxopSj6ovRJ7FuXsQaH5zNI0Qm4D69DdFp0mVC0XPLx7lwkSpusMUkM5SwUWWE5DERL/WkmbpW+baXjpyocqnt6uOIUmALOHBkuk5vKXptwQHXnOCcHpvWcC4RohJ4yrrFGWO24IWcx/TMVM4ETqCDsj/GOK3kBlbE/ykkJwTq+LVdyzf9rj5zBWN10JF83Rzi+AZqeZvvqdaX28bc9pKhrvMUPa65TxlHsm4qSiXgDW8Avvtdt41U2NZ09feY3MElh9ofOr9BfueeI6+T0VHk/vjjj8fhhx++eZ3+d7/7HQ4//HAcfvjheN/73teQ90UvehGuueYajI2N4aSTTsLRRx+NCy+8EH/zN3+Dq6++2njlf6sgJCpLKU+Fy4E15W/1xOQGBXx1xITJWeTY4zrJ0ZUx5XNtIqZnNhm657GdiBibEAW+TrxrbPqebLgcfBsB0vW1y4miEgqhyzQ2uWtdjECiSWbIqZLPeh2yRnHGsY8D6QqWmMh5jKClzWGlIPY6qiNMttsDlPGkI2WU/Lp5abNJZ6MqU5Wn6lXLqXlM4JQ32U7R69pnQn0Bda2ijHFfks2xyfbMxweK7TOF+oO6gIMpj+tZiH7d79Q1pqcn+0aTXY9fw+vso/hcsUGZizZQ/I1DDVH+zn1RuOOOO1j5H//4x+PSSy/Nx5gORB6DuhUybQSz6Inru9CELlY+5SgnIqHtx+0Hk5NKLW9zXLmBI5cO3e8m8ug6afXRC9gj9C6bYsFUX7XvfQgT5ZmtvI34+BB9GyFxkRVVBtWBdNnNaRNqgCMEPg6+qS468mAbazJ0Mm2BA1Nf24g1FZQ9TNVjC4apebgEz3QCT9mLXGNT/elad33WdpdtnPXX5j9QSHVsfyNkXdKtdXIaNwCgrp8cm+RnMdsn1rwL3XspY0zOR9lLdGmccqUSjdzb9Ln0mMZREb4214ezrQdbhdQLdNTJfUIcUMiJC3mdWvsSA98y3HoXRcRjQf5zWhQnLTZcmxaV8FDAHcexxjD3pJdz6qvm/cIXaOVseajkXFdOZxPFHqpjZMpDcUq5MNnHOT0zpZnqSzmx1dkW4pxQAg6u8rY0jjOrG0e2NqHsB3L7cB1uk00uXbqxGWMv4dQhRK/OQVdJnWoLh0jr7DZBHfccJ96mPw+iF2OfssFnX9a1hY3UU9qYSuZ8iLfa16Y15I1vBMTbthw96njikGWdLso4cuVR+8VGpKm6Rf7ubmB93Z6PKo+qU/5/LJ84lhyb38DxKTodidxvYcRw7GLaEBKZo+qIBaoT4mtLLOJ51108/T7OhMv54SDEQTadtlGdYpMDw7Uxr00LoI8Lm8PLcYapTp6c17bhU8cKpx9s5NVmD9UW17hy5ac60y7HzkZ0uUSRAp9xy3XCZT0mMqn+33aq7js/OKeUlHXC1HeUNrWdnKpBDB2ZU+Xo5oJtTHPTqHXQjV9dXTigzBuKrbqxpiNlqp22OcmxSW5f3Vjh7HNqPupJvE6mTY/OTlc7cALD//zPwH330fP76LLVJS/f10YwTePQhu5u98l9qeQ22LVHumzJy89WZfsEW7YSqRdI5H6LgnI6kNfpfCh0jplA0ROXqs+HEIcQcaqzp6bZyudBFihE02cxV59RCJ4PVIdM1hdLl2/Ao8i54HJ4fQIertsEJv268i5wHFQqWaeUo84JX/LAIa2+iBnkpK7ltrnMdVJ9xmYITGuGapOO9NqIsG3N0ZFHXT6dDbbxzmlz13OXHCpBFv83pZv8B+oaQyHgHNj6RZXNIfwhtoTmVevy6Efr87nqvb4etn75+oaU9Zu7JlPrwQ3AxLqWb0ozrVWtIMlUv4Hy7FBHIvdbCK4NXJffNinymtw+cn2Jp6zr8suBk06i588TMRYjWxBERex66SLips0uz43C5iBTwSWWnCCGSy+nD23lKIEOXV6dbgpB8HVsdPqo+YVeEwHyIQk+gZXQWwSqHJMtXCdc50CGBoJ8yJ1KNG310LUlN7/4+fjHu8mRS7bQHxq8M80lTl/5EGFb21OcYlceCjGw2aSDL7mzESZTW7r6VZUj/sRWLPKgjkNXgMRFvHz8OjmPi3RS5Dz84cD/+T/2PcFUT3HdnDq31LrZ5ojJdsp+rqa5xhpVpmo7pd49PfZr+b6BA1N+dc0I3UNsukx6TeVi+B2HCjrqg3oJcUF1MouyxRV5l+3Jw67bbgOuuIKWN0YwwfYsFlzOLMUWm4NGvYVAsS+kPX36Q7fhUuyvVvmyZR0u2NqEWkebfi5h4uSh2OBKs8nUlXf1m4mUueYih7SYHB5duk6fzpmW8/g48RT9NlAcVx+ZJgJD3Y9M49fV5jYiywl4UfZIU56f/rTZbtUmV6BBbUNXn9gcdHUMy22pSzPJM8FVzrWuuEiRbd7odHGJramdYkLV5+Mj2II1Ltk6Wbry6v+ptsl5qPNM/OSeSOtsMunTrZ/c/TnELsrvLn2lEu1avvq1fI4e156ZJ3z2INdecKiTeoF0cr9FIW9apgWbekpYBGzEP9bEjUXWXfk4zkhsUAlsLDsoToHuJMwV5NHZ1hxoKG3m0TmZvu3A3YA5pJcq05bfx86QMckhXJz5YiMGrvHBrQvHeaeujVzYCFse+mKA4rT7jkM5z0tfmjmxpvK6tuOQdXUPyWvve/nLm+20ybbVU4UrmEEhj665TGkX6qmzST9Fvm2+UnwZ3b7hWgO4Y4wD11ppso0SsOCsHZz62PRS/R3XPFhf1/sHNn0xoPOTbASTssbZ9iwOeZUhyD31g3oU6GzR1SXUn8oDlADFVkEi91sQvk6PDCoZyAumDTyUeLnqVGQwwwWuLS6ZIZuwLyindzb4OGSm8qbAh4ssu5xL1/M84HL2OCSb8jwvsku103YS6YKuLnkFOnwcbd340xFSV3lqmg90jit13VUDzTocdhjw2Mc261BlutJc6xt13rgcdBtc+WxrFZdYmsY2JTigy2da62xElFJfnWydPCp8A2TcfqWQaypkOZQAiS6/nK6Wl4MYPgFMStCEIocD1y05jk3cvURXTg2YUeF7cGTySWS5XV1ApUKXyU1zBQ19wfW9RR5XOdMa2Y7BiDyRyP0Wgu9kyhOmzacV9nAd7xBHXZdGfc7RJ8N3IXbdmjA5dqo9oYEXG3wdQA5Mfcg9RePqk1GOsGKb7M3TCfchmDaiqAZtdGNUzWMieCaHwUUGTbARC9N8kX/aggNcuE5sbaA6QdyxbSMwvid03BPpkJNASltSHFDVDnUc+gYxbM9Vx9c11ijBGuqpsS1gYbLZ1dY++zDl5FQNgqhtFtMPUfVx9kld++rWQU6gw1XOt+4mcuUibD76bOWpaVw9HH26tTXER6DOQZONVD0x246rNySQ4PJdDkUkcr9FoZ6WmJxbW/lWEe08J2iMxd0FDpEKQV6nS5ygkI8jaiunRvJNMl7zmrKTnOTd16Hzw3dD83ESQ2TqZPts/KEOXYg+9Znc9pQTTRmuEy+TLZRghq28Da6TQCA7AeLCZ05QT5+pRF51kKntbVqjXPPG5qCbcPbZjb+7Akem8adLo5AjE6m3tZ0ujbMG2J6Z8sQgHa686v+pQSZTQIZjpwmuPdJmmw9B5OyJtr0kJBih+527V8fa4yn7FTUY4ZJp8stMBDrmvkoBZR+W6+K7V8/O+pWzwTQeKPvfoYZE7rcgQokbB894Rlx5gH5xBcJOp0T5TkIoUYspk1Le1GcueaLcffc1ExBXEMF2CmHTZUqXf8p6KRuwSz4FtvaytYWa5nJeYtgVemIQelrtAtUB1ZXxcXhd4BJ4ynpFJWN5OD0uvboTfBPxpxAv27rmsolS3nXyb1sDrr3WbYturTIFISinsTp7TfU0BRMoaWpdKAcHOjtD+s6mT5ffNJ64a5bonxi+gyqHs5eqN7pM9aPuQdS5FBpMiA1qEMT2THdbQwdOn/usK0UTUUo9Y/qO73mPX3lOgEMXUMlzz2snJHK/hRCb1FMWt8svt6erizGFYOmcmBBST3mupnM3dHVBoURHubK5adR8tqhnjNNc3QKsw/KyPZ1yGmazzwRb3wnZOn2m37njleuwuGAjRybdLmKhK+dyVFz9TTlNNREh2U55XfElxOo4pjprclmOfrU8xSYVFCcmdO0IWccoJ6Yu4kVJEzqoslSbdHLycgxdQQw1j+k5Z61SoZJll96Qk2TTfi7/37ZnmuaUK/ime27Lq+oTv4ubZCFjQpbJCTJRgiacIIaaFrJnynlt9pp8Pp9xK+e1rfcxCSrFn+OszT5jiLIXu3wYl2ydnXn6rSb9VL/DNH5uvJFnYycjkfstCteiGoMUhsC1+fiSI197P/Yxt2wqYpy4+eihkjLbsxgnFBT9VCIUQk58ifLv/R7NphjEyae9bfopf8aPIpubZssbS6aA6ySQMsZdToLLNlM5ShBF/OSsxS7iFUo+YoJqC3d/0vUZZT3RkVib0x3DqbWROE4ahVibiKmqQ0ekqafqNlAcdN24V20ylaXCdXrnGiuUNo9hm062iSRTAhW69YyzNroCJZwAgM86ZBt7PsRWV44y36nj8LzzzDJN5UyyXSQ65tpM3W9CDipCYDtk8kFRdrcKidxvQdgcVt3v7QTbhPQhr1Ti+tvfum3j6I2BEKdfRaw+pzhw6u+2fqP2J8UZdm3oLn21GnDkkfp3k7n9S9mwdXWiOpa+J5OmNFegweWE+7SP6dRO1Sv/5OhzOWu+J8Wmk3edfgr5FDK541UuZ7tNEBOck1rumLHVhXLiqcrUkV5qAIBKFE36XeuRaw6qc4MyfuRyNuKvS1PzuOppqpfLNh85rrmv1kN3oq2SXup6Eptc+Zwoq+NCLRO6NlL0xpC3YwePELvkU+odsu6r+Xbtyn7+6le8cq51RUbRhFTt45iBBo4/ZuMs6npkmgN57XntikTuEwqNvrns8E0LWVh0Do0pP9UZt+mNeRph0+OywZafuoi72j5mAIJiiwm+5MiV1xZUUMsV1edUZ9r27IYbgAc+sFE21/F1tYELlD7TkTKd866Dz3iQiZSLKOrqQmk7G3n1QcxyLuJE1WsaTxRHlzJ+bfooaaZ+ycNBpDinLtuEfSY5trwU2IIfarvIe6lPv7jKmNYVU/BDp4+zL6kEIfY40AVWxHMq+dStR6F+nWvd5AYAdGtHTN/TFsg32aRL0/3f9Exui8lJc5pJDqUtKWnUuR5rH5bHpk7W+jrwzW/SdcSEqf9Dby12GhK530LQOcUcUlcETBuaDNfiPTMDfOITZvk2uRRQI5mhoMq2OXsmIk5xENTnVGfNJ803r8npf9Obauy+MeWnEDdTfjWPeEbZaKiOna6cy7m16avVgIMHgTvvtOdR7YrV3rJMapoYn6bxbhu/rrpwyaRNh2kOUkidDdS2DAlIumT7zm/T/FL1UkivbxDPRdhc48EFtc9NQSlTmmondR22zQmKbJ9xY2oryt5gGhe2/D79IUP1hdQggS6/bEcsG2SZpgCf+L/80yXTFfBQ9cjlff0b1/i16dX9boJpfdDJshF32+86Iu7TLrZ5Z8pP0RPLB+WOK/X/crn9+4ETT/TT78rD8THF7/e7n74fD2Ukcr8FQV1cQzesEHBO2+QytRpw883Ay19OK++zqcQmMiEkzgbbiUiMIAcFlA3VpM8UgJLxlrc0yhI/t22zyzal+QYnXIRfTfPdtI88kmZT6KkLl7DZnNEY4Mw3l2OuG4c6p5YSyDHZZxv3NnAcUFdaVgd9kIu77lF1U/qcc8rEWRtNpEgu50vcVXJlGke6/5v01WrA9DTwutfZ9cmgnEyreeX8up+6OqlkV/eTCtdaQAlm+MpWZbmem9YOkw3UtqCst7a62NZ5tZxrXFD7w/S7Koe7B5l0hQTNQoIQOptMoAQTbOUo6247kU7foAvVj3Y9l/uX0/aq/pGR9mrXIpDI/RaHbmPwOYkJ0R9aThehdunQbXBcQu0b2baV++Qns5sHqq4Y8CWUNvielOny+rSn6VsIOmfG5qT6to0vifUlzU99Kl22qX6u0yiTTO6GaksLOYVV5eg2flN9OX1uCv7YbHORMl1+NY8qW9XHOU3lOP2cNN/ycvuEnApzyIopj8lxVOUL+I4jHWRZt95qt1PVo3O4OeuJa493BRU4NlHJeej6Qslns8k2N3TkM5RUmvS4xiGV5FPWFRd8AzI6xCSFrvKuIFHomqfLTxk/si1Uverc9iHbuvJce21rTsy54COHshds2wZUKmF2dRq6W21AQmsQcnpoe+6L0AXCRV50+cTvLmeHI98FV/1e9jLg6KPjnXq66quDT9DDpI9iC1eODPXkySSDEoRw2WJzrGz5XWSbo8+2uXPbjKuX4qi77OQ6l9RyPk6xyemhOP+csUYhMFQCpNpKgW1908m4/HJg9+7sw5EPeUj2jLNeUG0SP20EUfd/V/DERsZMcI011/jgwnXiadKjjiPbaRY3SK8jiKbAv06PKkdNo5Adn3YV+ijrvS1N7WPVNjVN/M4huSa42sm1v5lk/v/Ze/doW7OiPrTWfr/Ou89pmn4B/aDpBw1082yBiwiCBuWhweuIimYQr3GQazQ38RGTa4IxJhleMgxJrkYy9GaQXE3wKtegF/BJFAQFFRCbbh6N0vQ5fV77/Vzr/vGduVetWr9fVc1v7QN99tk1xh5rr2/OWVWzZs2qX83vW2u1KZSiQ7cMFkIxr6YwbesHdnxbnBsVr230q4lntTL2Ci9mdPBiThveo+SzDO/p6eb/8lHIUWuNK4UO7txfRVRbNNTeyR6VPDDyMz/TfGFJpFem3cpj7z092yTNbFtNkPNolCIdyWoDYjJzYfa8nIcorH9bwBEVf7XAbBTKFJERcKwtlmvuVjPKxKVofKbIzvKK7mB6xUPtuDZrkGljhwoer3/4D5sniEREJieH7Yr41AJRz75eERj5tlcoZuJ29hAjOgCK7BVR28KNAWZ7YOAdHCD5NfsmeyhgKfIHJi8qNmps6RX1o+jpESqE2xTy2bba4qjWVzydLC90MFND3rp4uQD1YXwY1R4eIspicUYZ242KNdhat8WtUX/voGsUP9nvxbylg+L+KqXa0/ka+uf/XOS3fzvXtyYxfPaz/TYU1Gv0Zom0JlC2Teh7ceeH6WSvRaAkM84jVEBFvO34jD6efI9X27XN9mu7XzKyGLCK+HjjMkUV41+zz/bCvxlQR8Az0rPGzzzgiooX1o+1RXpkDiVsv70Ax0yXtryi2N5mnRjv6BAjcygQAVedM/fCv7P28fT0eHv73MpA+wf5mH3PdEGHCp6emRhn977VO0NsTp7cQpej6EC6eTpYYsUy412jZ3RgUBMfMnJrDihq+Y96+DJKWyYX1F5vS56/ttG35tAk0ikai2KVfY/8vIw7+Lb8A7pqqC0Ajeinf1rkd35n7/gV8gJ8tohlYD0al9UjKzfquxcHAG0L71ETqe4TAeYsv4w8Nt9aUBzJsOQVFPZ6uca+KyCSd7mKZs07AoejgOHMOCsv4m3fo7VmfoGIFVeZtWhbEGcK01EKmZrxKBZEc8r28+JCBrRF+qL3EVneqGjNgOKsDt56ZIsUbW+vyGbjkTy0v62cNgeDUSHs+Wgm3kZy0TgvNiN/0P9HvtKGrJ0tRXElyn17SbVYwSvKPL2ZTE+XTKzLxJJob7ZZc1YQR0VrJiaM0h5RlAcRjWKfDJ/aQ6Ve7+p7LP/gM/dXIWWA9qiO32Z8FJQzd6pqgnLbu1K1p9Y1+un3kQ0zCR+NqQVpe3HQkKW9BiVe0ZG989lmT1gAaAHz//f/xfJqKePbbQFDBGwQSBv1TpcH7DVQYvru1d0a7+4m6z8K0K7ZmxleSC4D2kyHCHS3KajROLRvLCj27OP5feawMxNPs4cMXlv2rqgHbiOe1m9reUbxhM2BHQ5ExIocjzx/QH1LW1Q02Fdmi2uu4fKyxNbFHjhYPbPrgw6CMvskY6doTmhcTRFXQ5kcj/aEle/5oY1HhdoW4LW28HykhrJjPDu1yekZHby9m8HEjN/Vduf+oLi/iogFkjYnc5eTsom3tt3KyNyViHS7HIcYe1XYIrkeoaRl25GvRICZtUUFWunj8dSJuCbZZvSz17Nza1u4tiEPHHiJGOnT9rDrywkuLFnwxgAv2uNonAW3TF7toZqNNZYsmM7Yl/n71399/Z0NJCcC+JEeUQGPig7bLwLYSF9Ee1H4Z9r2gjI+kj28YzaNCvlskR+tA9LXO8Dx5oLI7mFkl7e9bQHqpvXJFFlW7xtvFPm2bxPZ2NibeG7tFvW93FQbs9j4bFub/K/7edcymOtytWX194raUanGhjV92xx0RvIyBbyH9cbG2seT/UQHj+VfxTQqQL+cNEqy9MaiQFI79za61cio6VuTtL4ShzZ7nVRG0WHURFxTUETr0uYgKdIv0imSnS2k28y3dm3bzoG1RWDE0wO9sgIoWxCzcZm+6L3+f2ys+auRz65FxUabHBLdFc0UqIxnG50QWGx70JGVmykoaw6XrM5eQa3fIz7owJQdPHlt1ma1Bw6aj3ctOnD42McmhxkAYjyZ/42Pc/083ogyNoj8wYvfe5lbtbyaQ0SkQ82aR+TZkB1UsJga6dRGP20D5Gs1utToMare6DCurS7euDbxsIa3/Sm8J1rNs9d0cOf+KiQv8dcWWnu5QSLwpE/kPECYLe4Z4Mnq2TbYZBNMVhdPDrrOxnl3yvaCapJUG/sigBPdfdB9WHtUuLW5S5opvtoUfBmdagqL7L7K3NFj5M0hG4+iAlH3Q8VGpqBFRQ/T28qsiRnM9t7e9ai2MGU89CujrL9m/DYLSmsAYFv9L0fOjPw+M5eMX3jxi+0bfa1GJ0s1dyPZYY9HUdGL+Ns2a8OaOLgX+CdTMOk+3uGWp28mBtT6sscH+UxkO2SLTqcubiKejLenS428mrgSHRy1Kcbb5ISaa23bMjrUHlC05bnfi3lLB3fur3JixXKG9qLoK3L1F/BFyZ/Jjdo1b5Qs2wSZy3EIkgXjowDVaFx2niwZZQI3KsDb6Fr61RRcWf66T7bA8A4q2hZoGcrYPnsYYMFIxh8yhx61CTZzCIGAOQKXNcV1Zn5Zfyg89WvE0/pTm4IiE9MRL2uvmsOBrJ5eAcV4eoc20aEbWnuv6PWo9G0bfzNtnh+03cOat1cgFll7Xeh5bW0Kmhr55RXJa3s4sNcxPMuzzCPrf+ywMRpXbqYwW0T+kT0oszxq7NrWBh4fdEAyim6jFq8Rtrhc+6VQNo/vlR6RLaJ8yPS9446Y/36ig+L+KqI2AL0NtUl6H/tYzCMDHGvn1CY4Xo6k7r3fS96j9N8LkBdd36u1yBSkmaIh0skDyrWgJyO3pgBhPDN3OLxxmUKxbUGqqWafRcUdusYKqPJaU5x5ADAbd6OiwfOHvfQ1NJesTjUHAKhIbnNnT/OKCuNIp9IXzWuUQ2CmrzcumqcnN7OXa/0+OiBhVAPG2xaRCPRnyBb+SKdoPCuAa4gdomX3d0b+qDpqnQqvth//QXp7No/0Rv5r19OzL+KT0aFtAY987XLiwLY8vTgoUperWJ+22CvLW/va9dePzvtKoYPi/iokGwD3uli9nIQ2pAU82STh3emIxo1it71KshEvdIciU2Bn7ypFfKK2NkWzRwgkorViQCMLIDy5e0lZ4FxLe2HXWp5tQAUD9pGs7D72QJ7VQ/P1wHxboG/leEUOG4+opljwQFsNiI0oGz/b+NrlPljxCpFRgXOhjH2iIkXrmM15zM+tvGxxHsVdO5eoyLEFOJJh+zPK7hcr1/rKXhbL2T5ovtEa7BXeyPJBe6o2/9fKHOUwuaY/8sOIMr5d+rWZey3VHFRk9oQd16a4z+rb1vb2//1OB8X9AYlILmlaGuWk1fbLJKFM8Z7VK3sYgMa3SSJtA1mNLjUUAQTbtwYMZdoyOhW9sjZrUyzUAMFRwUhNgVrbz8qJ7gx6bVpupvBhOtT28YoG1I8Bx+huXySHzddbv0wb4lm+lIvpZscXesc7hvsxyvgDG1co40/ZQhrxzuh5uQqYaK2tnkVWFBc8/60p3D/0Id6m32cOh7ziIYrl3py8uXjjovjCro1q+2jeSCc7l+yhcJayMTaDkTx848nJxvvMfvPWjvnqKHlmlDllY7umLN7I5Jua8ahP24PSiNqs8ajkxaea/raPdxixH+ngC/WuIsqCtWzSulybIxNMvU1cmxyyARLpMQq95S0i73kPBsV7edpuaa+K8VoZ0bq2BQtIhi02vNPbyK9scZYpQi3PbEJH8lAbep8dVwuYI0DGdEN2bVtgZnjbOXgA3dMBjavdF0xfK/91rxM5fRrL99bT8orsWlOcRbbw9KiJjexgBumh26KiIXM44BE6qGD6ejy899k91Os1/lH+r1mPGjuhfYP2XrbwsX3a2D6yYZZ3trhqM89a7MAosy5Wj4x9kIyMLkgn6381OCVag0x+quFvx2X2m3fwxWTUFIoZPN1mnjW5KZNrLaG8qvtnfNOT18aGNQcrbfPTlU4Hd+6vQrIbdJSi7nIVoFEB4o3JFE5Rv4hqAAuS2+uJTEyITIJf6akJdtFptaeHp1/Uh5GXLFlfBKbbFIHZAogBjcg2bQtTdO1yJZnLdYKvx7M7QXsFMmr6sSLftnm8WTHHZGWKIyuHFa0TEyLXXYfbrOxaMK91tpQFZJmCttan2EFSJjbV+IPlkSlos/aqia21lC3gM8UGi61erERg2Nvf2baoD/O1bN7J5mRvL2Xaag4NLQ/WlhnP1qcWi0QUFcrRNcsju64sRmbnhg4jvD5WFyZ/1IK6yEXjo70R5aasHjWHcntRZP+tv5XnUYsrM7Exy2s/00Fxf5VSppDJFsmW2iSaTIHAQHu2iNT/o2TZVu+2/VmyyybrLGjS7z1eDIh5IKamqMsA8zZJPSMX8fru787r5vWJTvzt9U5H5NZbY3kZigD+yorIb//2YHtmzTwg5xWBWgcGljKUKbS03Dan81GhZ/toqi28vGKwtrD0+mR0icahdWaAuQ1Q8uJu2+KM6ZLd1zXFVYZvlicizx9q5s6KQC/GMhDNxnuUieUZntF8o8Ip4oUoWgPNby+LhZq8n9HJHkZk/FaP8/SszedWz2yfLGV8LHPQMErhiHhG2KDGf9vQKHwy+iL6rd9qL4PZq+3eKNf3InddSXRQ3F+lFJ22F3oibYCMXlFS+tSnhvvXFHbZwruGRrHxXiZC75BjLwp4FlxRwtd9tra4Xl5hEAXzc+eGE35ULCPK3NGw7w8dwrw8fT0drJzy+sEPirzsZYPjawvxvbg71LYIbFvYsnGZJO/d3UG6RfppudG+y+yJ2sPI2kIzOjyxlDmEsdcyQLv0yRSkUQFT67/eekZxJkM1RbKWg3zT+kxmraztre2yAButHTpU8MZ4faOcny3Au12RRx/FctDBVWaN26whIs9/awo9ZHv9yvpZig50sgcGUbFtr+lXfX0vDlCyMcqL6W2wAerbJl5+OSizLz3fbKtrmxyfrVHYnrga6KC4v4qIbdC2SepybZSa5K/1yICbz352eBx7z2gv7mLUFiueLlm5+tpeANRIbtY+kY7f8A187CteMdwf8WwDQjz9vLa9THaj3CmoAQteUYR0ingzOQjg1K4LO3yyIKTmUAIVJDXg1GtjRQMCTTUA3zv8aLs+SM8MuK4F4Jm45BVcDOwxIBftiUxM1kVg5gB0lEOPKIa09VGPd5Q/s7FDr1u2CNT6drvDOjHK5pdPfrIjv/RLWF+rC6NsLF5by/WzvGv2pAjfG9nxe0E1RTPSFx1otj34Kq/skDTKXSy+sLm0tae2hX2N4komzmfGZzFNTR6vpTY4KZNn2IHiqLjsSqODL9Q7oAGq2QB7sUlqkqwX/LOJ7sSJHL8vF2UBPqJaMBAVA9lDB2vrrO2y/WoSxv3352TsRQGfKbKQvKjQGoWYLhFIrfEdBJAyPEdN/NEdA6SbvubFEN0/WyR54DraE16hmSmqMrbwxmVAOJpfVOS3WXMbdxkYj/SN2iLdaoojD/xndLFUU+xmx2k9ta8gP8/4u+2fzUual9Y7kmfH1F7z+rzgBT1ZXu6k8l6036wtbP8LF0RmZ2P9EDEfjXyFkdW9Zu3aHHQgDBMduGV4t41fNXyiveHx8nyU7Smm0+UoQkfB85G+NTJQfy9ut7GBF/drYviVTgfF/VVKFlDVAJ3LQZmAltErSkrly6ss+InGZfl747Lja4JOTXKPZLLk1hZ8Z4Foll/UjxUi2UI2Aj8e4M7qWENtQK1dwy98YXBcpmhAybHW70ctforcTBsqEFEBbde3bdFQoxvSDxEr+D15HlDp+0FvJL+rBbwi/TuvEVjU+47pER04aJ6sUPPG6bYsqES+FJEHONF7dI0VTDV5HPVh461cxhORPRSIKFof9L8eh4psTYcPi1x/PeaD/NDz0TZ7wiO2rraPR+hABx3MaHkReXvPyxeRjLYYKqKa/a3bvPdRW5sCscYuGUzi8RyV7Bqz2LqXMrw+qJ9tu5oKeI8OHsu/Cim7UWp5jcJHJLcpM6ArO6ZtQGxzFwPpxGxfk/xKvz//82Fenn57dfpaQ96a2rnXFPUeZU7XawuvSD7qb0FiDeBtCzh6PZHv/M5YToba6LIXSXYvxkWFGyt4mP4MhHnvUUHAwHdNHGP+FBWTNVTrf//P/xP3rwXann2igpbJy7Qh+VYOm1Obg8vsPkM+mj2Es4WevWaL5UhfS+jAIMpFSKfShmRFax4dvjFfqzm0s3qMQlGxzOTbNs8WbfAKWjsPp7ADOy8e2vxv+2diF+uPYqy37/T72ryf1TGab1u+mfaMvEwcQ/tlr2oH1qcGEyP/2wtbX0l0UNxfRVTj1F+uDZAJtLbvqEV1IR3wy9+XmzygURO077wT80ZjGCDzdGJU+v7Mz4hsbrYH71qHtndGagGdHcds0wZ01YJEJA/1zYD+iHdUPFqgbYEnGh/ZIOMXbdu0PLS/Iz0RRbbMgkSrp3c3zPa1fbJ7ktkA+TcCfuwOn7c/tJyVFT4XpiPSl+mFKGOfmsNOr2hldojG67bMXJj/svGs0NL/Z4ttNC7SVySXX6zPRUWVt4dr8hSShyizdihGtuVpeaNxUVz5clBNnmN2sn0Qr7bzzByQID21vki+J8/T0Vs7xseOY7wvB7XZSzXjIrkZfplc4MWLUQ4jrjQ6KO6vUrKn8x4A9XjsFdmNXXNKXqM/CiDZxFte28wbAW4m93IFHRbksuO8uX/3d4ucOTM8LgO4PapJ0sNJsn9hL06Ys8VKZnyNz9WQB/51n+iaB/AjMGL/b0PZfYYKLqSnF0+srGyxjXhpnRhl49goMcfOwQPhVqdRckEGYHt+lF1z7xrKIZENmO3Z+2wfRpE8T8+oD3rV42v9Lzse8fIOaxBvEZHl5Zg/Gsf0jNYX5WPvwCLytVpChXCWosOatjEkk0Pa5if0ivp44wt5sQqtfxu84cWzNlgiisXetTYxZ5Rc3Kbwbss707f8X3NYWF5r5O0HOijur0Layw2KqG2iy4zzNmhtgvQKmmhcDdDRZPuzIFULovaKMgcOowCG7PW2c7L+kbVPTXHurSHrt5cHYUiWvRaBvSyvbJ+2Ba1Hbe7EsHE1tvDiSHZPojGMZ/Zw0hYSzD7oMK72blgWdLcFZpm9hPZw5Nt2fHZfZ0C/tmVN/0g+GhcVAaj4tHnJ8zXrF1m7tvGjaA9bnr/2a7EMVpzjvdEZGNP2IBONQ3MbpehlvGr2K7IFa8vw9A5PsnvRtnnvayg7tlbfiK83h+/8TpFrruFjWPHJ2vaSMvkwwje6z6iHWjV9avE5a7ta6KC4PyAR+cqfZtVsuqiv154toH/3d/P6jEptk12UpLN3TWyb5fnII3kZNQcUUQCuOeyJSOtiE6gGuFHSy4LbNsA+0ycL8rKFQUYuKwiQ3KyebYpkNJYVXDVrptcdjcsU5Kz4RAV5xAtRdFjj+WHb2M6KSNa35lq2wNAUFZg1BTHrE8kvNhi1mEO8rZxoLmicvRYR0h0Vy6yv7m/1QPoi+V7htReHKLov2y/Z9bT6Rv1rKLvmIrxf9lDOI6/4jHizvWj3TDQue6gRjc/mYbSnvL3h8b72WpEjR/I5yGvzYm6mHfGsIS8v1q5RjYy94Fcoe8i03+iguL+KCBVeLIF/uR0/AyAz40VyhQYL3IVe+lIup83pH7P9Xspg8rTcNm1nz9bJjgoRJJf1qUnuHpjweI1SAKHxoxQQtu9eHBLYfgwAeuCxDeiKCoMMrwhURodL6P9ITubALOqTJRQXvD5tyCts0byztih9mT0yxbLXv2beyNfYIZ6lvdpnNaCypiDN8ETk7WFWSLMisiZGRnGe+WHbg6+MHujwxCPvUCvytdrcjQ4MMrqxgtbytuMy+tTYh/HQuulxug8qlttin704CGqbpyIeiCK8UkNtfC7bls11tfrX2NWrD2z+Z/XMV6q2+UrRwU/hXYVUC7pG4VVDUYJkxUUNAGFJJyKUJNsADy9w7nXwaQuMGFBHgZMFd2TfKChfDr0RaKoFzNG6ZH1Vg5jLkWAyBXhtIR2tORvvJdkMRWvmzQ3FA9v/2c/mvLy1Y/oz/TL+V64xgO8VY1nKHHh6/SNZNYVDdCCT8d9MYVqzx0axJaIaf7XXMn4QFXNt7MTWRfdHfR5+WOT06WF5NcVqhhBAj2xo9WDxzBYNqNBke6ItFkC8Cj/7v7dfkG5ePh11Xbw8w+yc5c1kZYjZwPpvRk4NjkT9PQzlyY1yZhsfy46vwQt7iV9qdRKp861RDt6uZDq4c39Al6XYqAHxtZQBmhl5l6vIiuTaawwIZnTz5oDabAFk22qLMA841AB+plOWMiAgSl4o+eo+NcnP0l4llTbgHenSpnDy6HLspRqe3r5Gtjhxwu/T1oaWl1fke/rpsVZeBP51W3ZPPPTQ8HVU+GT8AOmP+tQcWETrydpQ/EN7KPI1r6BpQ5kDjppCROuXGa9lMfmRXE0bG/g6OozIHhDba9F4r4jz7O31Y/33yg8sz2zMyWAcawtU5KytxfKysc5ri2IIsy/rb9uivRzFT61v28METzdr++z+tPN473t530gPRg8/LHLoEG/3DsrQa5bY+IhPpr3Wx/YjHRT3VxExoMPAYtuCpM24tsG8rXw0v5pxo9qHARX9mtVlL6jmdLNtoYf8zyt22hSMEWCu0dfyyRa/ewX8MjoxyhYGrD8rdvfS5zTvqI0VgXYvMZCHCoKogGF2QjYoIBnxjgpTBqJr/CjrK6z4/ZqvwWNHOTCL2qydI/AVrVkkNwOmPYr0ZD7q8aolb59mDwX0q12HbLEc6YXk6vdRH3bNkxFdQ3ECvY+utclP0f6sPZCJdIv0KK9zc/X6Fnn61ZOTjXloDjU5NJPX2Di0h1Hez2LEDFm5mXH/4T+0l8fGXLzY/EKFZwM2fq+xAJNjbZ/1ETunNpjySqWD4v4qpCiRtQ2ulsrvHWd1ik6mWSCxiSJzqj3KvPbKPmU84nE5giYDp22JAbJCY2PtZY0KmqwfZYB2JDNbGEfyIlmsQM1SWx9n/REQi8B0VKhlqGYPMMCbkY/k1Or74hdjfrV3d7w9VVM82vHegUN57x0CZGLqXujirZlXVGWKjejQJtLb9s/s4SzPzJqj4tzTKXs4FQHfTHHD9lBNcVVz+BLNfbxIxAAA6mxJREFUkxGSg+J/xg89nrXE5I1adO4VzrE8M/7v7bMvx8GX1SWyUw2uQ2sQ6eLlV/R/Jo9ni+xR/LP2wChLbca1wWiXY29cCXRQ3F+l1OYUTFOm39bW3vApFCUGVqR5QDILEvaiiEe6eEkgI3OUIrKmfwH/NXc9vMKfXW8LlPYK4ETgtlYn+1rLIwL9zHaZOyo1bZ5O5VqmuI6Aur4WFRsZ/TKAyvqONz4qhGw/vW8Yz0yxGdk8mmfbPWX/H7Wg9XTJFA3R+KifZ6fIR73DhRqKfLvmoEJfQ+8zNrH9WLHrFZpjY1xedr5oPNORjdfXbPHLcICOy5nCX7dliyuPMsWnlZGN81rP8prNsdmCmMWJGt1Yn7axgMlB+tYcZGq+NUWv9aPsGmQxYLRv2mIYqweaS1tiWCbim5GL4uGoNrjS6KC4v8qJFRx7kbRqxmb77tUGHbWIbDtehIOC2rllwWgk1/Ib9S4Ek8/kWdqLk3vk17VFpB2XHY/6W2DWJkFl2rKgzfLyQK0tarKHNtm7CZlCpGbt0AFUm0KPAegM4I14MtK2YMVJ7WEsK2rY+Az4tn2z9kUgkR2sRLxQH1vUZUBpbbHDdIn80LZFcrKHPnoNvPyE9ovdG3Yv2jVieo8RJIl0yeYrOz9EGfvWFM26P1vP7JxqKVvk1hbEe3XwgHjW4DZvDixXZvja10x+Rfk4OoDK+mFWNopVSE7Eu43veXglM5e2uQjxyGIvlieiPG6vXS10UNxfReSBRRZcR0laLOEz3SLwFI3Xr236ZTd+G/vUJONsgrK61LSxvl6gt5QBkFGi8AB3G/JASAQEs6CdjY+u1VJt4WavsQSeAdER+MkUMlFRWZPcrSzUz+qX1RfFnGxxhSgbW5ku2QK35vAjcyCDwFMtiM/oZF+z+876IbJZzeGAlw8j8nzL6sQo2h+M5ygFF7Kh9VUdD9FhAtJxlHjX5hDEytbFUaYP0j2LgWzbKBjJ8owKd/Y/Oyhru0aZHBLlcxR7PB+NcoinJ+Lp6RLFe7uunh/WHHAg/TxbZOc/6gGOR9F+qbFBG/m1vJhd9wpjXil0UNxfpcQSOHL4jQ2Rr/5qzMcDZqMmfHaNBZtaedkCei+JJTvbJ0s1ADLLP9IJgSY0PhtcR0lQ2QSTtVNUaNb4TE2xy/oxG3pguNfjB2ttC+o2PuNRBrSwuNQGhGdlR4UmKxCYXOTbdi6sAGc8mV414xgf/Z4Be69fhrLxIRpvr2VBahvQZ0FjRtfa2I70qz04GGVvZH3MKy6Rnt5+YX30F715Pp5ZT3SdrblXIFqqPRBi1DYGtBmn41dEmQOzaF0zMrJxO8PL6mDlWHlIT2ZnjzfSxcMmNfl0VIwa4Y5of3nva2Oipte/HsuP8nPGt6zt9T7d70V9oYPi/iqlDLgutL4u8lu/tfcy2hBLslmZXsD1AgYKFrWBIgPamG6eTp48lOBq+GULUtun1j7RgUcbyiQLLS9T2LE271p2PTO8M3LbFHydTl7HUQ9hvGtWTgTCvbtDEW/WxwIzNKb2UA0VwZ5cLaNNrInsHPm87deGMkVyeUWFRG2MjOw06uFfTfyM+kW+zWKGd0CB/DbyMXtN87Fr5RVhrHipKT73Iudpnpm96/kos9NeFqRWLrvm+QMab/u30dfOt2aOXvyL8qz+P7vebXGHSB7PoULR093TU8st10eN8zVUgy2iQ8q2+GZqKu5j7ePpZKkmruxHOijur0JCQaS2sBSpB7ij9mWbNQLNqK1tUETyM8QAGdKlTWKqpewdigwQZDrZu8dITyt3lGSFkm10spyxfZsiNJI3iv95fCIgFrWx/hmQV+u30bhRfDsDBCK5tXdbSh9bSNTqki3cspSJPR6gy+aENnG4/B8B+2jOUW7weHmgnelemwOieMTWnF1D/sBiuu5vfdvOG/kvemXzy+4R9D/TPcpBbDwrMJHta4oHa7vM3Gv8N5OnasZHxRnilbVvlGc8f9JtmfwSUc1Bku5f5Fv92TjbL6svigGMN/LJiO/laEf2QVhxlAI6m8+03DYxJMp5+40mvtIKHNCXjzzwXjuurbyojxfQWMLPnLgyfnsVoGpolEIT8dL0X/5L80gjAjHeuLZt3lza+tVeHVhkeWb9J2vL2v6R3Oga4t32AArJsIVBVrdMAR+12T6Rv2n9Rlnz0ofpUssbrQu6VlvQZopz9D5DFnwjObpgysjx1icLzFFBkJ0Lsm8m7lrdasFl1JfJYX2YjKxvZgtaC4qzsa4mZrC+zOY2FqBiA8070xbZIMOzNnd5he2oxV2bPMqKUN2eOeTJ2tyTV1OYMmzi+RiSi2Kety5ecc7GR1SbO2vibm2f6KAtoyeTh9YjE38z/hfpu9/poLg/IBFpV1juJXU6uQA1ql4o4NYWkyhR1MjV1xiYyAQhJPtnf1bk1CmRZz7TBypMb+YHFnR5OjFAlpVZsy6evp59kbxaWR61Afa2H/OxbJFd01Z7oBP1GZWy+ysqcD0boGue3Ay4QG3RnojiSQ0w0+8zNkT7MwKuiLwizMpjYJrx0W3RWmcONCMwbvVFekd+Vbtm1ubR3vfmUHvAxwoRNudMHNNFB/N/LcPLeZk9bOVZ0tdRHzRvr6CosUWWkA28vejFDuYHka0zOiH5GT5t/KcNsYMrLy7UxEo9rq2+Vh6yz175VjZWteVZ40+Wam2e0TU6rLla6OCx/KuQbGCJEm/bU8fLtZky4JsRCpzIDiIiFy/642opCyovp908igCSB4isnAio2PGjzjnSJTOe6eEVftmiLLIFo1rAm7F9Dc8MbzY+40P22i23iFx77bCekf5e4V3rF16xE1FUfGbIA/FMnseL+W1Wh9rCKxqH5mfBuOWN1j8qWmrAd/bgpiZOIZ5R4Z6VE60ny3NevkEFvHcQU+iBB+rsOyohW6I+NTaw/aKCVvfx/C5LUYHpxaqMvm3wS5tDJhQrI4yACnGtf6Z4zOQnpAuzh7c3kdwsz0wc068oLl4uijBMeWVr3EbPNuOszaO9ofu03QtXIh3cub/KqW2R7I3PtNk+DFRk9Ro1sKDxn/ucyL331ukRydNyPUCWDXq1J5+RbtF4lMwRyLRzyNgsCtjZudxzD+aNdMkUb1EyaFu4t6Feb/C7DLKgS/fPAKW//td5G+NZ64fIrnfeObof1B7olDH2fw8ctAWQXvEZHThk9GM6tNl/aG9kwXDU5s2zbSHjybCFhHd44cUze80jxDOyEyoe0Rzs9dK/tqhCcdGbZ1RIo37e3KPis9ZvmU6RXxU9EK+o+ByVonht5WTmYq/VUISLaottpEvWj2rIOxjJHARF+85e8+RaG0aHP9k1Q3u/Jg5lqMZ/amOylRPFidq4gOzTFq9f6XRw5/4qogwA26vCJBN0LEVFFgveCJR6epVXG5iygBgBo4iixIJ0bMtT80ZjWBuS7QVcj7eXEFkAZgVFhjyArnVibRHvWtqLQ5c2BVAZ5wEdy/vRR4evPfLIMC97OGV18qiNLaI1Q8WJ3d9RoejpFIGwmvXZ2eFymV3t3LPrOQg8eyP7WmYs2vNRDNDzblO4M/twW/i6ZPYUa/Pkaip7zcs1bQuRjA3teDv3mjxV+rP3tUVgNichvT15KE5kyCvKbM7aC8oWkV7+zMrJtEf+FOWZtkWV9ce29kV7qvBk/TRFuGwvCluEd9rM3dPByyn2f2+sx7PtwUzNuOyhWoQ/rxY6KO6vQsoku9pEuBc6acoAFHQ9w9te8wBNhlcN1QDtyxWMosKlLfgpFIE1NN4D4REPb1w2eWRsngWZrH82WbcF2qVNv3p9Cv3sz4r81V/FxWp2XdvSKIAB2ZbFuAi0sWsM6NtxqO3TnxY5c2aYN+pfil0E7NuQB+6yRX0UW5F9GcCyffUf05uN1/plC8TIfyNf2Qv/zx7+RXvSG+cdZqDrqKiyB0/sYC8TOzxCflHDu7ZY8YrmyI+8g5W2FBUkUe5h+yy7v70+bM1ryNrX0zGKGbaN8WyTa1nx2xZb2usZvGLbajFJmz5eP3b41xazWXk1eNfGJW9cFE8uF75+otBBcX+VE0t2rK0N773qu7DQTg8kJ1M8sIA1yol0efXAbA1/VqR762qv6zYPYCObecCKtdWCNaYzojbj2dztuCxQigqCURJMBEIyPKNDq7ZgwgNpXiLfCwDqXYsKEgtYoqIhKlaYP2xs8DHRvkN92H62cynXavcUAsp7AYi8gi8D4r3iKlNEomtZMG118ahGl72IbchvWfzO+i+K96h/xo8ybVnbM309nRjAz/hRNo/WXNNtjGeUx7MxshZbMP/RxRVaV4Svau1rr0f+o3nX+Bobl4lLHs6xfZgNGD/Wpy0hrOnJrolLEWaLyNun+v9oDoxqY+x+ooPi/oAGqG1RpSkqlrxxbBNfe23zOWCW3LOyPJCYDbBtAlo2QUWys+MLj7YBt02blZspetH1tqfA3npmQLHHO9s3kpehaP9E6xMVAR7viGfUB8nyxmR1iWzhFSRs3KiJvwYwablMl8hH2TiPavei/b9Nsey1sfhbC3gzvm37R6C/BqAzPownarNk/SBbiNj5Zg4/NB90zeqM3rNrVt9ofLbga1N0WBm2LdJNv1r9rJ08nVZWfH2Rnp5eSBfmxzWHJ4wn05dRJl9oGXZcG0yQ2d+j8Lbjaw4DIp3KNfvatqj15OpX+z8itl9q8kQNb69vkZ1daytjFFx2pdFBcX8VESpS2EaJNsMogBwRS5yF5uZ4Qmgrs/SvmcuogcEG87aJF423FAXAiDd79UCTlZH1nb22b00Cry0aInkZ3yz//9qvcb28ApHp5AEOrS/i6enJkmWWaovATJvtgwA9A+YesSKJ+Tobb/XL7NeoqNP8kAxEvV6fYbYgieIxko0K2myxonNRVjck1/pxxvaZWMFkZPRkbazAjIoqNt7TpbShWOXhgEheRhcvz0WFl+WD5GYOBTTeYcRiHWqzOkWx4a1vxbpZntnY0da3o/5eX30QVCjrh2h/W0JxtvRdX4/11Pp62CQap/XVbRn59n8PW3h5OLue2Tycjd8Zedk8GJEXFxB5WDM7zsrfz3RQ3B+QiOBAVgOsa9uQXI9GCSJMXgQKmMw2urBAlgm6l4MYgK1NHigh1oBgFLDbHiixxJi1I+tXWwiVawgkWvrN3/T1QHOJius2tvP6oEObmvGozYIn1BYdOEQyWNFQ49NMTnR4krVFpj8aZ/UcNX5GPrMXIFL3YfNuc1ip20YB4ciWNXueycn0yeypTHG0V7HD7kEvNnt+GB1UsHyh86PnI8g+to/lg+xk83Gm8ELjGG1tDeuLeNs+yK42Z0Z7dxS8ol+jAjojPzrIYbzOnYv7WZ0ivMHGZeyVKfxrMHVNHNwLqsnVnl0s5qslb+/r/9lrhjfiezXQwU/hXYVU6+RtNsUoGz3Dt7aQQH2iYtIr7tsEtJqiKBvc9wJkWj4REMvyyupmbVmT2FiSRbw8P8gC3lpiCaYG/Htg2va3vvkd3yHy0EO4j+WZmUPbYkfLz1JUyOhXBtZreTOfjAA00o3x9HSJYpXlH/ltbdHq6YbGeXs2E3f1qxe32xQW2UMppj/Tm+2hvQCPUZFRUyxrnTxb2DzI/BfplNlnXt8am1l/iPK3tz8zxW82VmcLjUzfjO2Zj7SJVZ4Oe7FfMvG7FIiMTxsMw3SpzX26T03uyxwSad2snuW9nb/1oxr76HHoWi2mjmJVRpc2hwLZ+Mfw4Ch47kqigzv3VxEhAIw2mC202m6CvR6XAbK1vHVwzAT9vQgIGTCbob0quDwdagsD258B9GhcW8oUUKitjN0rgB7pkqUMOLBtFjBY3Wp5erp41Lbgj0C7HcNsoNusLhngOsohVxs/ioqrUeJpbQHztrf1ddKvHo/Sz/N/Jo+tk6badamJWdHhZsaGTF/Gi+kXFfC6D5Ln+RHqw4B6Nj+xYjmKg2h8TeHl2YkdvmSKyKwtarCRV9yzggT10e8Rf+vHyLcjna1fsn0X2aA2jnkFeA3VzNuuOcMtNQdJaC94PNkcELXJzaPYMopLGdzgUbTme5Frswdr+40OivsDGqBsMVbLK+oTJXUPfGWKiB/6IZHf//084BARGVO7AwXsmmKHJQ/GI5vgapMAa7MHOlk+DGRmgzJa1+x4pkvb4tXjLSLy8z+PQXnWBnt1cJDxjb042NG8rH0zNoh4e/HFA1tMR1RkRDIYr7b29QpaNm7UYs7KyOiLCjBL2eIY8Y8osxee85wcjwgcFor2KQP2lh/yNU8uojYxatTCh+1d2wfp1KaI0+MyBx1tclm2f1mziLzcbvWs8fmowIj8D8UQD8swPSPcgXRm8mpiupZbm6trcWRt0cx0yeanyG/bYpIy973CDd57r83zo/L/KHgjwklt8KAep3m20fNKpYPi/iqkqJCO+o86bhTKgn1LP/3TIh/60OA1lrxsu6WaosPj13YuHk/bdjnXwJPvAckosbD1qJlLG7msT7n267+Ox9YAJaRfjS6FV0ZfD1Rki10rp4Zntjj0gCAj7/DE7uvI9ghAtSkUozYG3hmw0fsgAyDb6OLxROOZnWpsiNbFgv5bbhGZmeG67XURGhGKS6PEJ9Z/VKDLYrO1T9RW1hMVtDX+VHN4shexCumJAL6NZ7Vz0n2iNdNjul3ME/FmvKJ5Imrrm54Nkb5WR8/XdN9a/f7JPxH56EcHr3mxCvmh1tPysYR8JDoIQm0oZqA4n8XWe4Ehs1iCtYm0x5q149B+YzwjvD2Kza4EOijur1LSCVwklwhrqc24TIJCwTjasOPjTWJF88yCwUg/j9oApEhW1F4DdC3PTCHCxmcTm74egTxPnh7HdNS2sMCCHSZYGWPJaJkBjlk+0Yk/6h+B/9q7CFnAkaG2ADQqHqL+bWKGxzsCF23aMrzbEAO8+n0UJ7I6ocIp6qNfo9gRxZdM0Yt0QQWIHVe7LrUHQDbnZgAsu8biN6Lagk2/tzGudr+w8YxPpmCz8/Lkof5sntk5eRTplPF7fZ0Vy6PoyQ6CavfbKHEsiktvfevgk5hIvyyv6KAki3s83roPWmtPXgbnRbpFNrD9EX8WK0dZ6wwmZvgsu+c93f76Xxf55Cdzul5pdFDcX0VUW2RkAkLtZmLU6cRFVlYuS8S2uM8Wn0xOm8JtLwKS7VfGf+lLdbp4PC3VAKVMganHe32y5IEQe80DxR4xuzAboDGsmMlSBKYZ2Gu7lwuvLPhuQ2wONXIsQM7ayb5HQLvN4QYrqtqAYa8giXRgsaoWKHmFoSeH8Ryl6GBtkR9FADLj26XvqAUt0j8an/EDViiyvWFzZiYGRLp7c/D6ZPOxV2wgnSLf1nPz9nymKEPz0NdqYqz+34shNbnP9kfk7SPkB5kYreNExn8j/mNjg09B2P2J/N8Sig9MJ3bN0zeK+5l45sVdJov1HfXaXmAoyzvaU5o3ytFMb6uT3pu6/y/9kshnP1un95VCB8X9VUgs8ev3tn9bOW37euC7DY2N5QswpBMDA6NQFNQypMf/5V8OX2Ny2fXaxO0ltqig0GQDd43eTH6WtGxvvuzOfRbcIvBXm5TL+CzAbzM+4smASlRcWfr+7+dtEQDNFNzZQjMzzvpGVCi2kZctPvW4Gt6eLpkiKZKD9M5c83RisvR6sHVBa5bRG+mQtSHjHeU3T44dF/lYzXhbGFpfs/1RIYzmh+RFRRLjkxkX9bc6ee8jPtYWkc31mEzcjnSwsRjZgrVFekbj9XyyfsgOSDJ4jOXkgufQ3q/Jx54uHpax+kZ2YuTtRdbfUnZN2xKyhdWlrQ41WCQ6rLFt9pXF68ttv68UHRT3VzFli7k2dP58O15twHimTznpRWCCBeY2wMHTKwJIhTqdXNCz7fYLALOA2+pRA0q9Qq8GOI+aKDIgfJS1K3rVrIs3p4yfR4DZa/PWMypyEEjUfUZZn5o2DzR5QBb5aFSIHD482B/xsfIY2fVhBQwrDGqAXca3s22sX2Yv14zz7Iv8167rKDHH0zMCe5kCTfP0KFMslNfnP5+P9wAvijlIrmffyD8YT9THa/N8xSuc9CvLsb1eZ2jtkA1q4nVkezQPxEfzinKXV6xncm1NIVV4ZvJFJJfxtnLYOMTD3rlHOiHbZYt0y8frk41xFmtm91kGh2bXdRReNfvzDW8QufXWWJca22sZdr+i9po57Ec6KO4PCJIGnrVF0V/9lci///d1IMgLdt44kZyO6DGubPFpKQpIjPa66Iz4t1k7RjYxoVerR1TkWJ29BKxpZ2eYpyeXXSvjM+DU6sr6WF3QEyOon9eOClkkN7M+bYpAD2B74zNAwqNR/DfSxfK+5RaR17xmuH8b+VHhjyhaK89/PX4ZnRif2hiZzRfMn6IiEOnm7U10qJWxbwZo70Vsze6lU6diPe04VAR6RU5mzfQrarNya/yB8cn4Q3ZvZNYuOvzwig2Pyhj2hXrZmJ6haO9ndS19Mwczljcax/zBrnUGB3Y6gzdrbFsm/mXn6dEoBWa0p1ABy2xaS9lc4uFzhuNERI4eFTl+PNbD21O2j27PYBLbZ5ScfiXSQXF/FRHaqGij1CYDS1tb7XVjOqDT+Rqyd+41T3aqXgu0PWKBpeZAA5HWpdy590Cbl1BQMqkBArp/xo+i5If0ExH54R/m45h/ZAouNH9N6LF8Le+//TeR5WU/IaL/GbWdix4XnbbXEgNobQ/Ksm0ZP44KmIy+HmCxchkYiopIxqu2gM+CYK9o9dqsDCaH9a8Bi954ZCdEHujz5EVrbnl5MY/NJUNekVPaMzEus/d1n8inrXxPd0+nTCFUXq+/nuuheXtFpDcO8cnw1uMzuMGOqbVvTZ7wbFHjm6xws3u3Zi7at9vEOkv20BzFlUx8qZlLryeyvS0yMcHxYI0f2f6ZOMrktM2vGfLib9bWHu+91j0TBzXvNvXElUATX2kFDugrR9mNM0oh0HYMKz5LW00CLQFprx7LbxsMsiBK9/WIBdqIh2c7q18NmLfjswm81k9On8Y8swASUaaN3YUvNvimbxL54AcHr9k+oyZaq1NU9EZrja5FACVb3GRp1H0WFbalgMn6nbc/NSBklN13UUGk+3kFCOMRFdJah1H3BvOf7EGHpUybLWraFEcoVqG5aN7Zgov1ReuJCqiM3p7c7MFMVHixQo3NRc8nmgtau2/4BvxlaZay/m/lob62LetH2QLB8x3Pf5H80jfye1Tk1MToqGjVr0xfNqdof0f4jD2Wn8kF3lxQrNJz2Nlpins7js0v2je2zYuXiDzcw/pHbbXxOhMzonHZtUP6RnPQ79seQlyJdHDn/oBc4NvmZK0G7GfBnicvE9zQSW8m+CDKBCQ2DvGPgMMoVMujpr+XDLLACvWJgE5Eo64L0klE5FWvivuMjw9ea5NMMoVBNL4G3GbbsoCslvYCoOvr3sEgGo/AHgLHNeQBJFYcjWJfz4b6tWZ8mz1oAWvmoCKTL2wfr5jMjEd6Z9bA9veoZj2Rj0QHOlFRh8Zl9lQE4hFvRpmi1fqovVbrK5HeqGj18A6KK9qWiL+l6GDIKwI9Htn96cVGpksUB7PranVo63+avM/c63WJ5Hr6IhqlwLTXvL1Rk0/bxvYssT3Rxg8RWRt4sV3vt9qY3iZ2XMl0UNxfhZQBFbptlIJgr2jU07VRH8sflTLFQht5mhd7bFxE5H3va8dT+wDSL3tqjXRigKPGPqMmS7sXWJ/Dh0XuvTc+oR4fHwbfbZNrm8TPAFkG6GQKvJqCj/kRk+VRbfGZKbzaFJWs6LC8PfKAdi3oyozLrHV2LqMU4JonK1qjwha9avnefvOKjWif2r6IPFCaoUzcjGKc1SWyMxvXRjfvWvZwimETpovFKzU28IjZuSb+IYp8rKYg1sTiGbJJxIv5Mdsv2bzh6enpgvp3Ov5P4VlqEzO8Psy3vf1mdUFyUJ9sXLocFOErFq8z+ySLiaODMUbZGDlqbfFEpYPi/iqiCNC1Sdy1oDJDNYksO3ZsrHmkCgVFlvAyQKOWrFwvsGSTcHn17hr/9E8PjkUFdWaOtp+XwFlCbOtPHkW2jNoyPsf42OKe9c/OLUo2jGemiGP8o5NzD9BlE3ltG1sXBC6QnqyAQe+R3KgYZHPJFJgI7EUFRXZ9B/dnLywKrR41ZGNnZOcasMjkebp4IJr5fQ3AR7pk1qVNrm0TszzAjPzX2z9oHKOa4ibSt02Bi+IRWgNWKEZ+jNq8gs9SVKBE+ztaV+8a4p0tvLx1reGTHZfFBt5P4aH33j7PFNJR3LaUsU90+JGlmrjddg9HctoWyJ6P2T56D2XitX3PsP5BcX9A+4oYQLav0SZi3/7aVicGxotOaHPq8R5vy8tL4Pa9TbKZAJPRjwW3bMCpBbNFTja5ZhKhZyfEK5NEvHWOqBacRsBLr3Wkkz1gsTJsW21iiQq9Anq0vjVFTiTX0znyHY+37R+By0h20TOyV0YXyzOiUYsT1Na22LU6sTXyQG1mHVEhkS1WoriA4kQWpGZjDnuP2trEfqYfuu4VxNa+LI9rffX/2aI1kqvHZw4holyE4jWTq+OaZ6c25K2rzX3WHyK+IvG35SNblCfy0H7x1nzUIsbatwZDZfyC8bJrjtYj81N4SCdGGbxir7NrmXHeHi6vEb6KdMrqmyEkrwYrMkJ7OJt7o3iEeO/XQh7RwRfqXYXkJVL9mgkAbQHrKIQSMJuT19b2FLlNgIiKo1HASCHvoKUmGXgFvA3q3ulzTVHF5GfHRaBilIK0Bpzqx/I9uR5lCkyvWPESWgboZHQbtc3br4W8Az7Up+3eZHJrChLUh/FGYKQNTwaIvIKP8YpiZI3ftNnfqJDwQJuVF617bYGp27z3Xlum6EV9o0I6mu9jj4m8+91YPxYfMjHH6mnjfRvyClUrD+nUZs8j27M4WnRj+UXbwF6z/Fibl7uiuMD2ize+Zn9qnZj/ZHJmsaG3xjV4rNPBeEfLiDCXNydLtk+EN6JxSKda3NDW/xlF8c+LHd5cPHnRHDK+xsjDgdoP92vBf3Dn/iomBp68ft/yLYNtNQVljS4eWT3bbH6WuJlOe0UZuWNj7QBTBpzW6JehKLHV6rIXhVN06s3GRTox0m36sXykS22RVJN4ssVJdPgRAd1RDqf2wqczOnl7OgOYI//JghGmg5Wn5Wbn4vHUvNuMy1KvJ/IrvzIsM6OTBd5e8alfMzxR/1EKRa9QaBN3M2s8ymHEBz4wzM/a18rMFLkZjBDJQ32KLP3KqE0hgHws4mfbPD2z6127T5m+rADXMpCeGRvXFMYeDyuz/O/laI+P/r/cuW9bbNtrSIa+lrWvx9teY+OsXWp0YoRyULc7/D1UqK/nB1HsiCjjB5Z3G4xosZeXJ/YLHRT3VxFFCS2T8P/v/xv3j+Rl+9jAadv2AoyW12hTtwUsjNdenyRa2dnH1FAbkx+BPduHAXSktx535ozIf/kvsd6Mlx6HgJSXRCLgFY3XpH+VgQGk2sTiJTbb1vaxfE82Wk8Gupic2jgRASrkq6hILq+1Noj2q0fRwUGWT9uiqkanCEDq8RF/KwfpjWIH26ceZQshJjfqj8ahIsXTqW1+zB40eCA1akPX2RqyuUR61s6lvGd2ZTEnC/6jtWiDDbKYJFPcl1cU0y2PSCaLnzX4KeNP2XX1eEfjkO7eFyTb9x4myeIVr7C1/xfZnv9FcmviYA2O1f//yI+IfNu35caiuYyal0bBFkw3xCuKcfuVDor7q5DYZmDFkbcJaj9z/9a3irzpTbgtW4zWJG4GLjUflnhrE1OWdOE1Kk+v0NPkBUCPMgDWtrHDD8+f/vRPB3WLig3U5gHQiKIiJwNmrNxM/8ycLEWgyStEapNlGc94e+NQn5q2zNp5Bwje4YDtj/ZiFA/1mBMnuI5tbR/FPDSekRcH7XsUIz2QV6NLdn5eDKg5dMnYJSpELD/PDyI9Pd0i4FnLM1PI2LlH9o1ibK0/WN1YG6KoOMrKiYpWlqv1vNlBSqGXvazPS9P6ul/oRfkwWrvIHyJi+Tt7sOPpm9HT2r4Q+0K98lqDA6K8hvSP1izizeYZ4QZvfJbKuC9+UeSRR4Z51OT/NnvQUhR/a2zC5DNfacP3SqGD4v4qJgbovH6jtv3oj4r8/M/HulnKJJGaTZqZe9Y+Waop1LJz0f3QnftMYaEpYwsmX/fLFIFZnrXEkhD6vwYw1wLutj7TtlhG4zyA0lanrB+P6nNMfpGn29rIQsk+KmJZrPn2bxe5444cUGHA0/otK8Cszkjf5lqn+nAL6duWsmAN2b5tXPEOb6IcUiu3LdXEjMhXovFsHDv4inylNsdm9GX+gOShwinSLxMrM7HdyqspEJ785ObV5ujZWV9PJpfZLBOba/Jvxlczfmh9LLt2jKf9Qj20T9vgqpoczw6CPHk1eTfrm23iUm2+RDHD24tZ/tmYo/XIYhhmHzv+oLg/oCuePDBbrkV9LJUAWwM0oj5egVlbrNq+GZAY6RYBFqaDFwBtABsfF9nejnl6772Cy+sbFw3+qz3pjfRG5PXxAJyX3L25e3IzhQGSU9qQ3Jrkh3RhPEf5tvxaXWrHW30z8rz+NcDTA6y1/mD72GuZQ622a2Apu5cyxSQrtmt1i2JsFAeZvGjNMkVk5E9em9YN6VJTrHixmR00WF1Q8VmjE2tD65Oxa82eYLwzOT6KqUxfNr9af2f6RqTt9K//NddNk/U7JNPmvEwe9vaCLaAiW9qx9jXay8j+kT90Ov7NDCSPxZ7sfvOoBntZXbwY2QZbIN2i9fB4ZPdwLSHftnq0wUy6b9Zv9yM94Yv7Rx55RP7pP/2n8sADD8ixY8dkcnJSrr32Wvm6r/s6+a//9b+6Yz/0oQ/Ja1/7Wjl58qTMzs7KXXfdJW9961tlY2Pjy6T9E5M8YKTfZwPHXlH2NK020KK2bFBn40YhNE/L89AhkYsX6/juxc8SZoCV975cGwVgZws2+38mubeVm0lwSJ5XMHn8UF/Lm7VZvrWFtwfsveKsbSyo8RUGzHXBhcCTt9+itbP9akCXpRrfHrWN9Y36o7kwOQiwZnTw1hX5nO1rKXvN6pIB2tk5eOOi9bH7NVMUeXKjokHz8/aC1Qn1ycRWry0bW+2rN847AED9rR97c8gWtpb097H87M8O68Ria00RF+midfZuzJS+Xg7L5kw2F6Z3Jl9pW2p9kd6ZQq8mdlmemVwQ7eUSY+21CEtZPhlqM08kV/Mqen7xiyKrq3kswPwe6avXM7O/kX11fxtH9hs9oYv73/md35FbbrlFfvzHf1y++qu/Wt773vfKn//5n8vb3/52eeihh+Sbv/mb5Vu/9VulC6qad77znfLAAw/IY489Ju9617vk4x//uHzXd32X/NiP/Zi8+MUvluXl5a/AjJ6YZDeoJW+jtrlzf9NNw7JrwA+i2gIjkwhrAXPUL0qEmtfMjEjmDAqB4kz/7OEJCogI6Ig0n9+KdGFB+YUvHObZNmmh5J6dL6JsMsnyHjWZeLqwa14f1tfKqy06MkWDR9nxNUXgqPs1OhTI8IzGMRBdK6/08da6BsjVUgasoX06ilwG6GybvlYD7Nv4MSJUxEXkFYGWJwLhyL7FRtkc0mZdMkUKW6fo4CDbx/pCDU9dBLTBCKVfVKTX2IetpxezmM9l4woqWpnelk9USHlFGfoffaGe5YN0iXKKvvbHf5znmbUlklkTl9je6PVEPvtZkZ/5mWFetbk+owuLrb/wCyIf/SjnZXXI4lHUJ7uH2WGEvbbf6An9O/fnz5+X7e1t+amf+il5y1vesnv91ltvlRe96EVyxx13yH/+z/9ZXvayl8mb3/zm3faHH35Yvuu7vktOnDgh73nPe+To0aMiIvIDP/ADsrGxIT/yIz8if/fv/l35WX18epVRcfwI/ESUAd2a7r9f5L77hvtkwQ3qXwNGauYbJds2xacFVlldmH6ZoMjaRJoDhOlpX0bUVl7f8Q6RV76SA1Cmb68ncttt/d+Iz4A1xMOzb2acN6bmMCTj022K1cy46LH8CKh41Ga/XI62jK5e4ePxzurC4koGhGRBvCYGRrK+FhX5EWXGF73e9rZBuUyXbBxEhYyNK/ZXKpietbZHuuniyuNdc7CC5tlG3yzVHBbVrg/Sswbot/GHDLEi1/PDTFGX1SHa32y/jIFbcIWPp2fpV+uHek4ZjMHksj6e/6PxqD/6zD07vCi8ER9vnj/1U4N9GHk+qkmvWbQubF1Rnil8fvd3Rb77u0X+1t/iunr5KYsn0QFDeS0HLjV7ws7Tw4zZmMd82srdz/SEvnMvIjI+Pi7f8R3fMXT9yU9+srzmNa8REZFf/MVfHGj7Z//sn8nGxoZ853d+525hX+h7v/d7ZXp6Wt7xjnfII/qrIq8CygZ6L0haGvUz95pQcmf9RqXMPKPAO6p8EV7sti1w0f/ofaGZmb4ezPbXX9//3+qLAj3rq/ugvp5NvDkwGdnxowAkxrv0j4oOj5iv1YJEb82sPKRnppBB17w+mQI1A/a8QhrpnSmgbBsDM5ZY8YDIK3oZobnYNsRT9834olf4ZOb18MN+H8QH2Zz5QxRXmLxa4Bq1RTZsUxRldPHee3swY1evTwY31MzFjhslLiGerL9XeCE56Jq39mweLBegQo21IUKx2ePJxrF52DXM6uTFM3RgYeXquVg9O538xxC9WF5eM7iO5SCvH+LN4jfrF60Pe4/08fqh/jWYSwQ/TeHJ8fKw5W3HodoD+WabXLsf6Ald3H/913+9nDt3Tg4fPgzbb7jhBhEROXfu3O61nZ0dede73iUiIi9/+cuHxhw5ckSe+9znSrfbDT+zvx8JOXwU5GqKmq8EeUlbJC4MLID1xrUlz65I92zw8QB+2wBmed566+B7BP6RXHZ4gpIsKqAywR4lRObjbdewBqhngVm2WEJ9WEJE/oSAX1au1SFKljVzyILpLPBE17LACvFm4zJziPY5m4s33ivKEOl5jur3o4xfWhr+fHEhFH+josHyqbFJbfGodbKFExqflcfaorlYn/b6d7s4/lnftrnP89EaP4z2i50Te5/J6WhspmjwCI1HtvPylCV9txkVpgwjeAW/1jci2ydTHHsxLsKFNUVVtAct1XzmXrdFfDM+yuRlxzE+iGc2T2Vlad2y+rJ8iOJgFEeYLm1i89aWz9eLVZFv7Ad6Qhf3k5OTtLAXEXn00UdFROSee+7Zvfbggw/KhQsXRETkjjvugOPK9Q9/+MN7pOmVSdnN6AXx8+d5nzaFCyMEQtrwrNEzA/ZqKDpYsX0jGdkCyPZpY7uaMUWuPZ3v9XBStn1qC0U9Ds2zhmdtko78KTooi/SqBUjI5h54jvRAYHYvkmFm/9QCdE+3NkVfmyI9ig/RnPYC+KI+3t5AOtr/2+SG0vbBDw7rYvtkD1Iy8mwx5vGsAchR0ZmNsaiPLhSzhVNt7NFyWFzJ6Il4MorsivZUDSawtmhzaGJtr/tERR3jiXRg/uj5n86ZqLiyflCTb9jesHrWFF4RfsgcEmVwS+an8BCxg5JRMIkXu9iasf7ID7P7PJuXPR+J2qz+9lrNnXvGM/KL0u79mhSzK+qzX4v7J/Rn7j3a3t6W9773vSLSPGpf6GH1TOCTnvQkOPa6664b6otoY2Nj4Jv1FxcXRUSk2+3CL/F7olC325VerzekY/O2Izs7PRHpDDh8t9uTTqdp63Q60u32+zT9xy7xG7s0/4bXO9/ZvPaviZQzo52drhpXqOHZ8C86jUnvkiI6uJU+ZVwJHP22wrszsHFtm55LadvZ6e7Os9frXNJ3cJ47O/05NX2aedpxWs8Xvagjv//7w9FtZ2fQ9joI9q/1dev1Bu00SGOXdOqqtRq7ZO+yrj0lr7GvTcbaTg2fxradTt8Wgzy1vn0bNtc7ItLbnUvxo0Zu307Fx8bGmtfSVviXtdJtDe++P/V6Pdne7qkE319j/dro1dvVobHJ2K5tGp36Niz62jPP0qe/Nwb9165B+X3xwXUd9F+9LkWXQuVaX0Zfp7Lmg+szNjQXu2ZljXo9vV+03J6KD90heUV3/Zm6wXXp7I7vz6H/vq9TmW9Phte1O+APeu7af/t3v/o8y34pY8v+7L9e0qYz2NbMs6fmpv2nb8PhuGTjp9XJtnUuxeVB3n19++N1G1qzomMz77KH+/bs9XqXQFNPiv9rm2oeJdY1tukNtZV90+3iGFle++utfaDPu1CZi7WTtoHeZ9pG/Vw0bN/x8WHbaz/V+9XmvL49h30b7anBNeuYPNffNzqmD8acwdhVbK/vtlt/0OuH/KeQ3S+D9u3HwbIniszBmDMcOwbHD9q+rEuJSyX+6VisYyTyB7SuOpeUfWr3WX8NB+NTf3xZj/4e1206hw3GZosbBuWWeTJMYuFhyRODcylr1fcVzbPoqfOTXR9r5+H1GVwXrZe2wfh4WY8+ftA5b3C9B3Vq4oP2xb5d9Xg0JxzvOwNxpok9g/us4a33t86LNq7YufR91M5F62RjgMUryEeLvnpdIhuU3NnPsYPjul1t3w6cbz93WbxdsEGRO+hrfZuPDfDU8spcGLbQ9t3ZKeO1DTDt7MjAHAZt2Pc3a6fi9xsbff/V+1zrZOND2d86HqH9+kSmbO15xRb373jHO+RLX/qSfM/3fI8897nP3b1eCvDx8XGZnJyEY+fm5kRE5GLwW2M/8RM/IT/2Yz82dP3MmTOyvr7eVvXLTt1uVy5evCi9Xk/G1K28s2cnpNM5IefPn5du94isrq7L+vq4bG2Ny8WLKyJyRB5//Kz0esdlZWVVNjYmL41bFpFr5PTp0yLyJDl9+rQsL89LrzcvDzxwQd7+9uPy2GOnpW/u5lCl+bhEGdfQ1tYJWVvbktOnm3U6f35SRE7I6uqqbG1NytratoyP92R7e0pOnz67O257+4Ssrm7K+vqYbG6Oy4ULKyJyTE6fPi07OydlZWVNxsZEdnZm5dy587tyO51rZWlpSXZ2FmRlZU0uXNgSkWNy9uw52d4+IsvL67K1NSm9nsjS0oaIHNmd57lz5+X06ebZn9XVwyIyJ+fOnZetrcOytLQqm5vNN9GdPn1hV88PfehJcvr0Y0NrcuHClPR6R+T8+QuytXVY1ta2ZH29I5ubY7K4uCYih+XMmcdF5JQsLi7K1tbMEO8+NfZdXl6RnZ1ZOXPmrIhcK+fPn5fNzQXZ2OjKysq2bG3NyOLiqogckc3Nzd1Au7bWle3tCTl9+tzuehYbNsFvVh5//KyInJIzZx6Xra0jsr7elc3NJhksLq6LyFE5c+aMbG0dk7W1LRGZl/X1NVlc3JRu95CcP39RtrYOyfLyumxuTl4atyGdTjPPTuekLC4uyubmzKVA3ZWtrQl5/PGLsrNzTJaWVnbtKzJzyQ/PishJWV9fl8nJWfnkJx+TpaUZETksFy8uytbWnFy8uCJbW3Oyvr4jOzs7srEhsrS0KZubk7K4uCUih2VtbV1EZi/ZcPmSDc9Lr3eNLC0ti8jg00IXL16UbvewLC4uydbW/ID/XrgwJZubC3Lx4qqIHJWzZ8/K2tr87lxEjsvFi0uytTUr6+td6XR6srU1cWm/HZPV1VURmR+Qt7y8IiILsry8It3ujCwtNXtTRC758rw8/vh5ETm5a5NGlwuys3NIlpbWZWNjXHZ2RNbXO7K1NSarq1sisiBLS8uyujp+6Q5/X+729rasr2+JyJwsLS0pecuyvT0nKyvrsrHRka2tnqyvj8vGRmd3XS5evChbW7OysrKzy3Nzc+NSodL0WVlp5rSy0sx3Z2dHSvq5eHFRRI7K0tKybG5OSafT+Oj4uMji4qaIHJX19XXZ3GwAw/p6TzY3x3d9ZXFxVTY3p3bBxvp6V5aXd2R9fVyWlnZkY2NcNjf7cXBpaUM2NqZ2/WFra0c2N7el223kbWxMyOLitmxuTsnaWlc2N8ek1xNZWdmRnZ1pOXfugmxszMvKyo5sbk5c2lM7srMzJefOXZTNzQVZXt7ebVtf74rInCwvL8va2oQsL+/I5ubk7p2H1dVtGRsTWV8fl5WV7V19d3YmRGRCFheXZX19XNbXx0Rk9tKB84xsbm7I0tKWiBza9Rlt++XlLdnY2JStLZHx8Y5sbXWk250SkQnZ2mp46LUuVNbmwoWLsrk5K4uLm7K5OSUi/b2vY6TICdncbA7Bx8d78rf/9o7823+7IIuLw3tpZWVF1tcnZGlpSzY3J2VtrSebm2PS7YosL2/L1taEnD+/Itvbh2V1dVM2N8el1xNZXd2Rzc0xWVralLW1id3YWWy/vS2yvNyV9fVxGRtr/KOxfU9EZi/J7cjKSm93XRYX16XXOyxLS8uysjImq6sd2dgYuxTnSvw9I53OKVlcXN7NhxsbHRkb68naWk9E5uT8+cYGzRODx0VELu3dWTl9+nERedKAv6+trV7af73dNdve3pK1tcYPxsZ6MjHR7LPGjxq5nU5P1te7l3xzWpaXt2VjY0I2N/t+3+zBQ7KxsSnr611ZX+/I9rbI5GRvt//i4taluTS273RElpa2ZG1tXFZWdmRjY0JWVrq7Nlxd3ZbNzfHdcYN+372Uw5rYfvbsWdncPCSdjsjKypZsbU3J0tKGbG/PyoULyyJybMAfFheXZWtrShYXN2RjY1pEerK11YDxixdXL8XdZRE5Kpubm7K6ui07O1Ny/vyS9HpH5OLFRdncnJeVlc1LtujIysqW7OxMy/nzSyJyXLrdrqyvb8rW1risrm7L1tbkLn5o9D1yaf/2Y/P29rxcuLAim5tzsrHRgOmtrSZXb2/PyYULy7K1NS/r683h2ebmuJw7tygi18iZM4/L+PggAL94cVoKvhI5KdvbO7u+sby8cik/rcvW1oysrPRjx8WLa9LrHZHFxQbDXLhwUTY25i7FwWaNLl5clY2N2Ut5blrW1xv/2doak4sXV2V7e14uXlyRjY3ZgUeZT5++KCLXymOPnd79Ut3NzaMi0uTMra0ZuXBhWba3D8ny8oZsbJR9syk7O7O7NlheXpfTp1cvjZsTkcNy/nyTi5aXV2Vzc+aSb3YvxchF2dk5IouLy7v5v1nXGTl//qJ0u0fk4sUlETkmFy5clNXVKRGZl9Onz4jItXL69Gnpdk/IysqmbG1NicikLC4uys7OvFy4sHRJ7oZsbk7s4rrt7Tk5d25RtrcPD2CSpaVN2dmZk3PnLsrOzpFd3KFz19mz56TbPbqrbxPHdi752EXpdo9eqiWOy+nTp2Vt7bBsbU3KuXOL0usdlQsXLsr29iFZW9u8FF/GLvn2ITl37oJ0u8dkZWVNNjYmZGurI4uLa9LtHpLHHz8nnc41srS0JKdPr8lv/Ma0bGzMicj0JVucvIQH5mR1dfNSLjg6gLdFniS9Xu9SzliQc+fOSadzQs6dOy/r63OyuTku588vi8hxOXfuvHQ6x+XcuXNy+vT2pXkeku3taTl/flG63SOX1vWIrKysy9ra+C4WL5hveXlazp/fuMR7TE6fPi+MlpZmpdudl/PnL0qvd/QS9joi58/35T/++Lh0uyfk4sUmr66tbV3yo1l57LFzInJSzp9v6gwRkdXVtUv7e0m63SNy7twF2d5uap3V1TGFvfp78cKFPs6/EqjJ2TFdkcX9Qw89JH/v7/09eeELXyg/Vb7S8jLQD/3QD8n3f//3775fXFyUG2+8UU6ePOl+XOArTeUE7uTJkwPF/fHjzcnVsWPHZHy8I7Oz8zI9LTI1JXL48BHpdDpy4sQJGRvryPz8vExNNcXcsWMNsDt16tTu68JCc6J25MjR3Wv2LOXYseMD40REJic7MjMzIadONUGyfN/h7OycTE2JzMxMytycyOTk8Li5uQlZW2v0PXLkyC7v8fGOzM3Ny/h4cwfn+PFBuYcOHZLx8WZOhw/3LtniuExOdmRhYV4mJ5t5LixMSafT2x139OgxKSrMznZ2r01NdWRh4dCufbSe6H2Z5/h4R44da8bPzk7I9nbzTfWHD0/K2FhHrrmmCVCHDx+W6enmlBLxKjQ/Py8TE806a92mp0Xm53syOdmRQ4cOXbLf1O76zM4O2rfYcH6+KczGx2VXl2uuuWaXZwGRhw41/nDy5EmZmurIzEzDeGZmVg4dmpGJicYvpqYG/ejQoaZwO3HiGul0RA4dOixTU03BNjMjMjEhcuLEiV29y7hCJ06cEBGR6eniOycv+WHfZocPH7mkb0/GxzdlenpKFhamZGamIwsL05f0nNnlubCwIJOTje3HxjqysLAwZOdDh47I+HhnV9/Z2b7/Hjkil+Q28eD48RMyM9ORqalG3/Hxpq2xU9/2hw8fubSGc3Bdy+v4uOyuYaPvIZmY6Mjx4ycGbNLocnTXp2dnOzIx0fzm7NSUyNzc1O585+c7Q4+iTU1NyMzMxKX59uUdOrRwae/Ny8REs0azsw3fQsXmc3Oa3/SAjLm5+UuvTafxcqtIGj8osrQ/TE6KLCw0dp6enpGpqWatZ2dl176Nryzs+kqv17TPz/dkbq4jCws9mZlp/LcU/wsLUzI725FDh6Z3dZmaaorIQ4dKWzNuZqaR1diwmf+xY8dlZqaZ71RjVpmdbdqOHz8u09MdmZ+f3m0rwHl+fmFXp+npzu5TMvPz0zI21te7+E8x0aFDCzI721H8pndfFxamBnym2H5srFnztbWOjI3NyeRkRzY3+zwnJ6d3/clSWZsjR47IzExHDh2akunppuA6fHgwFxw7dmxXZplrUeXQoeG9NDc3v7sXp6c7u2s5NSW7Njt6dGo33k9NNes2N9fwPnRoetd/te2b8T2Zne3zLH5U7LOx0ehWxh0+PCWdTrPn19Y6srXV9Nd3wk+ePHkpVi3IzEzjY6XfbHM+uGuDkguLvPHxjpw8eWrApo2+czI+3h/f2G9SpqcnZWys0XFurmlfWOjt+vb0dP/azEzjY/qXTmZmZHcPTk5Oyexsc+drbKwZOzfX2GdhYXp3T/R9c0rm5hqfLnyKnebmpmVmprE98vumrblw4sSJ3T08Pz91KVdOyuRkZzdna1pYaPbuoUNTuzqVAvTIkSmZmOjsxofJySmZm5uSiQmRo0ePXorJRy7tt0mZmmrmOzfX5LryZcpjY2MyMzNzKUZNyfR0Hz+cOHFCpqebHDY11cScI0eaeFZeiy9NTYkcOtTM5ejRo7t5scSIgjuuueYasWn7yJEm/5e4PTY2vruH5ufnZXq6IwsLU0Ox4/DhKRkfb/DG+HhfblnvBrtNDuzT6ekmFjV5ptH38OFmL+uYfOJEgxtOnjy1u090rm5s0OSU+fmJXTscOtSsS4n78/MTcurUwqVxZb5HZWKij5Ma/5NL63Jsd12LvNnZaRkfb9rGx/u+cuTIkV3sVXDOqVOn5BOfGJMHHpiQiYlip8O7uEPrW2L65GSDvUp+LHIXFqYu2fXYgL7aTseOHR/I/82eKLng2K7cYsvZ2Y5MTvZx9tGjjS1mZiZ299yRI5OX8ODxXexVctShQ5MDOX5h4ZCcOnVI3vSmMXnFK3q7thgba3DSxESDSY4c6e3aZ5A6uznj+PHjuzVAyTNF9xLHjh07vuu/c3Odgf1W7NTEcdndSxMTjX1nZzty9Ojcrh96+HVhQWRiorO75gV3HD3al3/hglzCUEd2sVex/ZEjJ3b1LTQ7O7s7p6JTY5/53bxw+PARGRvr7GKn48ePDe3XJzJp/OrRFVfcP/roo/LKV75Sbr31VnnPe94zNNECsnd2dmRrawvevV+9hExRstE0PT29uyk0jY2NDRTNT0TqdDpDepZ/O53yKGD/McCxsQI2S2DrqM96dS71Gdt91ePKNWuSTmdsYFz/uh7n6zQ8Lzt+bPca0snyLm2dztjuPJvHs3Rbv09fPxmQV+yF9ES+0dcRzakz0FbkNsBsuH9/3NjAuP58+/MaH+/PyYrG44btpPXX8+3L718vdunbp6P49h93032a/4dtMazv4Hpqn9NrNzam9e0M2XfQpmND45Gdmztqnd1Hu7T/In8c1JP7NpLX129YX7vmxSaD//ftWmzbFzO8T7Usy1M/Rqv3guah59zn0YHvtQ/o8XpuWoYep+3XjBtsa/Zwf59ZP9KxY3AvDvqo9lv7V+QO+pjm3xmKGcO2H+bd7zc8zzLO+lXz2pGXvGTQ3tpWzf8dEEeG/af/yKmNrcPxU+cCrZP1tWHybVDW3K5ZadMxw/qKCF6XMt/hdRnMdVaetk9ZV+1jto+O+8WX7V4elCsD1wbngm1Rrg326f9v5zto48H54jahvs3sq8fr9enbtWNsoWlsYJ52n7F92vfDwdiKYmz/YxaDa9D00WtmfXzYR7VOyJ8Kz2EsNBjPer2O6Dyqfdvy1HJL7CkHUNG62nw8uG6DMWBzU9tvMH5qvxxea2SLfl5l62rna3kWPsM8m9ftbb2ew7HK2seL956dEOaz4/XaWz9CuUvL1WRtoNe82M7Ot/AuWM/iT43h7bponnqeNh5afQft05+nnptuQ4QwX9HDxjcUHwTkMIu5rP8hnI/26xOZsrXnFTQlkS9+8Yvy8pe/XE6dOiXvf//7YXF+yy237P7/pS99CfIpX8Sn+14tZINTKVb0a6GBj1ESXvpzeb/4i4N39Nj4wSA32BbJjPrpzwJ548p8tQ7WBjW2aEtWB31dJ/BovMiwjnY9Ldk2ZDvE03uvx6G1RV8OZInZhOlk5bHxaF1Lv8hOnr6WN/IxK5fpgngiXVgb+p17xIuNRxTNPdOndp6Fp7dmnlzPvhnbI1kZGyKdrDy7r/Ur2zdePDh5MvaVzBqi8dG1UdYV5RtP32gv2T5WF49nJLdN/M/GbZH+vrXkzbN2D6P8lolVnrxR2rTcKK5ZnazeGdvZtc7oxOakX63t2Lp3OvFPB0d7n80FxSi0nuharyfyC78g8qxn4b4ol2Tib+3+RnpbPTU132M0PI7h2Mi+tVgmo28tzmE5IZJbE+Mj+2TlaV6lTft3FjdkcFKmDelrY51n8/1GV0xx//nPf15e8pKXyKlTp+R973vf7iMklm6//fbdov9Tn/oU7FOu68/qXw0UATMPXGZ4vvGNIp//fHudGIjO6NIGfOmxaINHgLmtjLZgMaNfto/VwQt2NvAyP7LB1APKyAZR4I7aGHC1bWic18cDoNE87WEG2nPe/KJiI9rDKHFGhROTlwHFe9HmzQ+NQ/5n9UY2YEUDK4QsT28OEXivibGsjweIvEItkmdjQQ1wjHh7MSfy+zK+dk9EFOnLQKKVh+LX7/4ul4d8NSo2srkj49tsnl58iGJHNt9YuYxPbXGkedbkPs/2Opdk9rmnb5t1QQc/USywedjzURGRd75TBH2/dG1Mz+aubPxDeKNQ9HOCet6R/3qxw8u1EUU+7eUwz07IZ7yY6a1LZs10X8+Go/zOPSO2v6P+rJC34w+K+68gffrTn5YXv/jFcsstt8h73vOegc/F/umf/qm86lWv2n0/Pj4ur3/960VE5P3vf/8Qr4sXL8qHP/xhGRsbkze84Q2XX/knGKHNZIOh3RQ1AJsljzZ62vceiPfGMX2zoM2ObxsManRpe4DA5NWuj7euuk9NAe+BGFaMIoq+LLQ2GUSUTSalrzeuRpe9AFYIqEY8I4Dj+bGm6OAiMz6b+BFY94BVpjhvA4IygAxRpiBBemR9xJObGZeNRdlDBS+e1NgCjWdtGbke1R7IdDoif/EXzf/XXz/cxgq2THHPQCrzNeb3nU5+zez7KNZl2iJZ7BpqY4VOhBuYDVGb7lObU+zj9Jpqckg2vkQxT99lfe97+z8tFhWYqI+mZz6T+wwaj+ya8QN9597b31pGto+VG621lR8VxJn8gmwx6h6L9hLCbJG+uq3X4z7+xS9yP/DWPPKHbMxA9mV99wM94Yv7T3ziE/KSl7xEnvOc58iv/uqvyqz+FhppvpH9N37jNwau/fAP/7BMTU3Jf/yP/3HoG/Hf/va3y8bGhrzpTW+Sm2+++bLr/0SjDDAvjj+q8z8RNw0KSDXAdy/kZ0FXRv4ohwDemmfk2blc+r4b165lvPd791Ewt79vywBvNtllA30tyKydXw1v1qbt6gHJNr496gGJ9x611QKyCDCxaxF4Rm0MBKE22ycDsDx92TirY8Nr8CcwPV5tbNdmv2T2Z5Sn2Bpmi119DcUO28fTO7M+L34x1hfpmqFMAZSZr21D41AfxjPbFvVB+6wmxtr+6L13ABDFbz3Oi8lMX2aPzJp5GAbZ0M7PXqvZp3a+Xo7P7Ckk38tvmuzvnGfWZRQftfPzeEZtWl9mQ9Zm9ajBO1Z/plP5aT6mi/WnwnPwp3IH6frrRR55ZJCHxxvpbcdZYnkY6bvf6Qn9hXof//jH5WUve5k8/vjj8rnPfU4eeOCBoT7oZwFuvfVW+Q//4T/Im970Jnn1q18t//Jf/ku57rrr5Jd/+ZflH//jfyz33XefvO1tb/syzOArS69/fUf+xt8Q+aZvGm5DycsLxowi0BURGr8XBZZHtrBkoCcL3j/3OZH/9X8V+ZVfyetmk7SlmuLeytCJLZs4vT5Rsi2vz3++SDlL8wAkC84oISPK+qO3ZpragFo0XstH84x8O+Ktr3lzQUAwwxOR5sW+x8VbT0YrK7l+2bWOAAuyWWRDT24NIENyWSGD+Hl7OaNLbUxHetYWnxFPBLqyRVXGvuh6xk5MLtOX6ZG1L5Kh21j8ZHpG8jw5LPdp/TJ+y3RCerM5sfzIiqMa22cODLyCDfHJFAve9yp4ctE4tr/RejKfYWuNfNzTGxGbS5s4wnTwPnPP5Eb5tE0uyu5J5CsZ+3r71fbNUHTg0OuJvPnNzS88RLnL8tQ3XlA/++vjGX+I8Cfrn/EHj8+VTk/o4v5973ufPP744yIi8id/8idVY7/t275NbrvtNvmJn/gJ+cZv/EZZXl6Wpz71qfKjP/qj8vf//t9P/5zAlUy/93siL3pR/z0LcixJegWC5tmmDfVFOlldkJ5aVgZ0ZQGrlxA1feELIr/6q5xPoSy41DIee6xOP8s7Sh7RNQ9goQSj5dYkdwSU2PwioFFbEHuyLO8aXbz9hsbdfrvIgw/GSScCa6UP0j1jAwYkEb9IJyb3UlgXkeGPWSBQGgF8+7/VCflmW2CFCIFqxjMaj+RFPGsAEpLr6eLlAOQrWaAcgfBszLJyPT1H1Smji9YpK6cUcLWFSNafvD0c7e9M4dA2fmpCa2iv/et/LXL33cN9Il6eb2WwRafDC+rSp9BnPiPy5CcP61R+AQfJiQ4cvLlZHVj8tnyiL/dD8jOFaQafRbE1G3vYWlk9MjmwZr/q/hHv7PgIN2TkR5TNT4880vx09rXXcn9neaJNvhglv2XyhNUpi4muZHpCF/ff933fJ9/3fd/XevwLXvAC+RXvduo+J5YsRfDGtBstC4jQqzdurzdTVAwy2TYJ1IB+JD+rpxfoLdnTaW9cjV29gJmdj7WF/jIVL6GV315mwbYW2FseNhnVgPAowUQAFIEYbw6erb3xbL/Zb8v35pKlzJ5gbaxvrVzUpl/RuGxBa2NeZp96sdVbs4xO0Zqjfm3XJWqrLWijvt48NUVtHkhkPNocung61eSJqABChUitDaxOmYLCFhaeXBZzvIItsxfR+E6nKTAuXvSxRTTPpg8W7u3XTHFV+tp1eOc7Rb7qq7A8Pb+PfGSYF9PTy2fe2qG+9n8vjiHeWV+pxTtt4jbCr4xQfGgzLsLGWb9n47VuGRlIRyRL82btUc6N8nH0hXrI/6xOGX2zGCaD1fYrPeE/c39Al4eyAEmk/SbQ4573vLhPRlYmKHrvRfBj+RF5AfD06ZgPCsZeYrIHLBndaoIqWv8IjBe9mFwLTj25GVDAdLF3P6y8bFFv+4xSbDDeyBa1xTWSVwMEkW+hcR5FQDcG2D5v9N6bp/UrtleQTzJ9dZu3FzMx0tMlAtO147w5eHuRySnU7eYKzRryirEIzOq+jLwYi8ZHAJ+1ZeOnR5nCi+mSsWEEimuAb6ZQiwo2b06I/vbfFkG/ZsziA/N3GwPY2vV6/Kdakf8gP7J9rW66zzd+43BbtpBhhbftg/T3runr1l4oJmoZa2txzGFz8fRmdkVPfCF92Z7I+IWm2rjtzUWPy45nbRlMlZkXwk6ozfq9fvXiD5uDt29s34i8PcFywChY7IlMB8X9PiYvUbDEVEsoCCD68Ie5XvY64oECitUDJezIBl7yySbEH/qh5vUTnxhuQ+O94KivR2sSBdCIB/p8VCYhZpJlBEAjcOzZHj1OmEmSbdoi3gwkMvC1F4mE+WgGPGeTPBofgYjLQbV7EbWx2FED5NB41pYp/KPizJNbC0y8YqXWH1ifmrZMIZ0pAtA4TxcU761ORca3fIvIrbcOt7E8w+YZ9bHyoxzUJj+hOeh4FB0KaN5eG6PMOIZNPMrqomVkixUmLxNjM+PL02tWrndggfpkcoHtb/uMiv3K/3Nzg/IibJCVz9pr1iJz0NHG79vwRuup+6E9wXgyP0b9vfeoDWFS3QfpWXvnPnMwgXwlG+9tX3RtLzDZE5EOivurjFgRV9oYAGDkBY1RNk+2gI/GeYE+CopRULX8vEfoURD2kla2GKwF+prYT8ox26Pxui96LD8bzG2CQ5QtNpCMTHHfFrzVHmJkEpN+RbqwNvRYfhbQjVqk7AVILPK8eWqd9CvyKQZ8owLKjrf6skKxrR+heMIAuiVPXiTX8on0zcSjjI958QHpYq95PuPpltV3djb36x+MssAT6ZGRx2KclZ/dk57tvf3SxuaMN8t5XvxksY7tT9TG5uTFhzZxVD8xqIv7bLz/4hdFPvlJzBvppseXNk21n7lHOdrLb5E/IXlIPtMzwhtR/s/EjEjfDKZgPNF4a9dszMn2jWwfrZWnr4j/bflsfFYGa6+NtTV2vZLpoLjf55QBhCygZEFarWyvTw0YKRSBgihx236ZwO29Z4RAgVfIeEEyIq/IsLro9zXAyvZBc2JyR/kpPA8ElfHlWtaGmQTh2TQLfGvWM7IhojbJ0l6L7MvaIsDs8UYUgWjbx17LFNKsrQYEoTiKxtnDMKRvBPCRvHLt/vtFbrvN16WGmL4iuY8iIfLAd3mtBWuaRokdWRDf6TR/tuiozWW6nf2CS1ZPpG9mPDscsOT5U9Z2mbhSs3ZIJ5uDvP419kG5spbsHrZ37pkNi2+srYn8vb+HeUXrgyhjV4QHbR/EI8Je3t7PFtLZnMD2hIfBMrmLxawoT1g9M7gQzTXyZ9QX9bP2ifIpqg+QnlHu8WzOdEd6s2u1+Xu/0RP6C/UOaDSKwGL5X1/Lgu9/9a+Gf2/c9vU2bbfbJCsmwytIasBdDUBqE+AjfSxFyZLNg/HydMsWC5aQLlam5qPfe0CjtKGiQesTAX0939pk4s2hBty+7W3NnZSXvSzvY3Z+WcoC3jZgukaHtqCW6dKmjQGd0sYSulfUWDlZkORRm/lGsSvi9Y3f2Hz8CflBG4DkxeSf//k63TR54DvTx4vRNk+gcTbWRHsCjcvQpz8t8oEPDOuJ5qfBcTa/1YBbOwdkgzI+gxuYXK9IycwJvc/msExsQ3KYLTJ6IrkZ23W7IpOTw7xYLsnOga1/DaZhfoHmhMhbc2RfD+vpOdl+3q+s2P5Rjs/4aJs2yzujk5cDStu5c3jfMvnetYw824awmsjgnXukzyhxBe237Log7OX59n6ggzv3+5gyiQL194JkobNnm8fQazdG6f+rvyrylKdg+V5g8BISusYSDHq1/3sBUL9nv/8tIvLRj4r80i8NByQUbKzeXiGD9PWoJjmjPqgveiy/6OSBryiYZwGkN768soOC17ym+fP0RTqV9o9+VOT3fz8GRtbHahIKA3YZAMp82uppx3k8PZ0Qz1pqo1OkC/ND/Wp5eH7Axnu+jXSpBXSRb2baamOAZzsW87JAN2OnLO8skMwUSRk9GX/UduECbvf0jeKR7ePxtPy9veCtS8b2XjEXjY/whuXp8fZspsfZ67aN7Ru0LrV52HssX79m/MCTE8UH/eqNR3KtnnY8w1J2PGrX79nHB9H1jJ1Yjvb6ezEZ+UzE2/MtOx7ZF33ZacYHs3uR7Y9ofM1n7gvvjK+gNubbDK9EPr3f6KC43+eU2SiZzRDxR329cUtLzW9d1yatqC8C6ppQMPaSqyUUGDxdf/EXRX74h/1+KEh5CZ3Jrgmq2WteMI7WPgJ7nixPN/s4bKb4zAJf1mZ1YoAQ8awFgtG+i5IdklGT2DLr6OkU6enJs3IRaEJ9t7fr9mWm6PUKqCxvxBP11308XZg8KzcCfpnYYg/v0P9ZgM6ozC0q2DSx9YjsxHixtUZ97LUyB/2KKIq1NcC8Jlah9cn4YSTfjmP7xBtn9cv08XRDOqE+rA3ZF/l5lLs6HZHPfU7kf/lfhnUqhPYW8zF7kKb3i+Xt5Rs7LhNPrN5lXKbN8vP6MHm9Hv/MvZenMjjA+gPLCWx/s73I9nUNlrK87dixsTiHablerMm0efO0euq95JH1ozY5M5snUF7M2O5KpoPifp9TlCz3Krl6ssvrzk5fBuOZkZUBQpbX5z8v8uM/vjcAx1JJvh7gYoGQyY3sxHTJUqcz/G35HvixMlFi+3J/oZ4HYjzbZIGn7WP1ZPzYPK0f2LGRrlYndC36nXvGM1Oserpki6qa+JItCERE/vt/779HoMnzjYydMgAJ2YfFWkY1+z0C6lGsq5Wn39uCIwOGmU4oZqDYkeHdtsBsU3yOkhdrCkxNNcU9sgUqXpEfebHVk2uvZXyUFdRsHMunVl+We+yc0LgMTy9nPfigyP/5f/LxWfuyvcBsYNc8s7/b9mF7mOUgz7ezMcNeR+vh2bCmTVMWc77znVx/+392zZFN2N5GFMU1FOMi/iyvsqcsCl28OPg+a/va/ML0Ln2iuLQf6KC4v8qoJoChQka/RwHI2yhbW8M8srqVMdlAr3na67YYRwmK6Yh4svFsHCqko2DOKAIMEYC0hPpnEyIK+EzfqPjMJHk23+zhgB7nybVtGYDf6fDfCWf6MX+0c8isOUteGSDH2rL23Wu56NUDHJYyQL9cj4AG0oXJ82IV4hmBNM2f6VJjl4i8PYh81BaKjGcE8DV/TVFcYfI8uTYeZQtFpre9xvYyy7VWp0gGiyte3EY8M+uS8aM2MTlTzDPe+tXb156eNh+jPqw/upZZK3sQ7ulfk5eYv2fyqb4exSNvT0TYAGEg+6p1m5nBep46hefEYhPSxZsf4mmv2bn86Z/icV7MQXOzeiCfiHREVLsXs320nl4efeMbh3ll9quWYa9l9yLbw23z4xOdDor7fUwReLIBt/Sx4NRSFujYzbO9jeV5/BF5wAjJtW0sISJeo8iPyJPrFXiebMu7jZ294kH3QTIikOgl/ggQl/f6Mb0ImCN9EdUmPZSstU5M7l4klAiseeSBvQyfCGi34cn6Z/Vk9o3GM4rAtH5F+uo+CIBZf8qA8GxcsrZAgLm0RVQOp+y+tP+/5jVYvyxI03ZqE39HXfPs3md73upRI9fjh3hmCzZLbJy1XenLxiN50dpl9K3Z76wA122ZXOAdDkRFaOQzEXZiXwaH+mf2S3a+tbnIy+NIbyQnUzx7/ScmRJ75zMFrT3mKyM03+3KjuXh6R3Mqembsg+Sx8cjHkD+xfJOhKBdE8QG1ldfoM/f6S7S1Lln/13sxg/nQnK4WOiju9zFlkjQCGFGxigqZDNDQd+5tcrN82hTQLBEi8oJyzZyQDPZFL5mAJNI80pchFvCZXvZaG3Ba5qAfvStkv1DP8vRsoJPYKMWnla/lRv1rfMWO93hm1sXK06+MNxoX/c69py/TpRY81JI3T3SNAUFvnggMW+Bi90YUKxlZ3gwgZQGHBy49XWqAWWZcdv4Z8oqMaL52fGnL2DfKfRl9dTEYyfHsZHnaX5+x/sviCZLFdIviUbQX2xQ5UUyPihQv12cLEzsO8Suy2RNXkZyIbK5EPhVhknItmxsyPs3sU5MXGY5k+Z/pznREc8n6UxQHs7gMUYRbPT2RThYDZTFJjf4WGyD7RL5p51te9Y2XjD7ZIj2bh5Gt9ZyQb2b375VGB8X9PicPINl+DByzoJoFT+XVeyw/Ewy8pMb6o81vC9NMEPKAp/f5U03ZpPfjP96/XjvfGgDuAVarmx0TgWm2ngU82d91zhS/qAhAbRlAZvWMfJoBSbY3LEi0/aO9w+YS6ZsBBYwygBGBGE+XjIxaAKp5o5iF9K0B454NvUImoszaR3Ijnt4hRlt90TX7Td9az8x4pJsHaqO4lol1UWHq7Tekb00xEMVGBkDReI+P50coh7ECyIsF0fxQ/5oihcVUjzdbV8QjOkxAY1A8qS0GtU7s+2lqCuJozdg1Nid7PZMXI50sRfsM2RnNr4a37Z/JU20LZ03Ix1iOj3Iv87+MH6Nx9rqVZ//Pxki0f5EeVifWx6NsTNc8vYOK/UYHxf0+pwxgt9dYQEE8PRBtaWsr1x9di4o/nQT0tUwS0X9MNy+x2OLeflEdm5MXmMv76AtKvMQQyWW8a4sya0umm5cgbB/Whl6ZvCxlkiMqmphcD0hGcrL6ZtZDX/fWJRpfrmWKXkZt2rLrWbtfI8CcLYi9+InmYIGSLU5q5aLCNANcPd6aMo/le7bP+hGyBaJaf0DgFM0jC7BtAW7j5+tex3XJzAXZ2dMF9Y/AbCbuttkvHmVyfdvYIYL1zfRDOMA++YTsHBWDSAeGOyK9i05WFoodSJ6dp5aDbI/wisfbzgXpi+YW5UxPHpKL+NTk4dqc4OVDtpdQ3EbzRX2sD6I1qCnus7a3OiGeWt/od+4Zz4ztM77p6Wt57nc6KO6vImJALJMoGB8bzHs9kW/+ZpH5+eFx5TP3Vi6iGlAaFU7ZZG+vZYA2GpsFiUwHzaO8PvSQL7NW32yBx5KyffphbAz/zj2Ti0AT80tPN5QkWZETAchscke8rY6WFyuGMknGW6fVVaxnLRjPFhRtKQLoqD+zeaYgEMkDc8urphBi46NYG+mN5Hl+h3TxAF2GEIBEsmv9Ioo9UR+vWGkTDz2gHe2lrJyMr3q87b6u3cOFFwLKkb9r+UhHL+ZE8cj28fRAsbVNfhtVF6848kjzQp+5R/KYv2fzh+cz2fjp+VpkH+RrDANlCmI7RvdD+d+Lvxo/tMGjHpaxujGeLKbX5PGa/Ixsj/LEb/4m7s/wS3m1Hy3K6FJje+YPHjFcnsURVyodFPf7mNCGQaeqLBhHm8L2L++PHxe5447hzWMfy68NhF67bmNgT1+z88wABq2L10cHuNOnRR5+eHBcec2A78LrC18YbotsUQN0WYLyAB167Fzzythey0f/I9nod28jEJMFQbVtjIp97McPSlukC5NrfeWHf3iwDf0sY1b3TJKrAczZpFkL0EubfrX/2/HMVyKdPPCV0cnyinxs1GKFgcOoeGQ6sWs2HnvAPOJp52L5WIqAtsebFWWojflTbSxghOSzNfNsyeaE2kbxB60n0sUrHjOx1eZFxAfpwmKAt4ejtbfj0DXPn5DOuv9ePJaPeLPCzfJjcyrjvHlEvLx9wnTy/I+1RbFZ6+bNKZuPLUU5KBPP7PoiXKh1QK+ZmInk6lePEF5GOhTdbU5Aci1v1idjey/G2Xlm89R+oIPifh+Tl3zKe7sZWZCx4+z1TLDY2upvquhz14hqgSjiyYIpswGSExWfelz5Xc+aBKHf67vh3ngkoxxa2LbMWnnr0usNrp1+jwK+HocOBSxvD0B6r1pfbz2zgNf2KfyQTvq9B9pqEokHkArpb5/NAMFsH9TfKwxGOUDIALsangi8e/1rYgd7z9qyAKe8jmoDuxadTg/2y5Ddp/p//Zn7KB6ya+hQIjMOUdvxrKhCfdi1WnCIbMYOaLzxw2vt+cHgeNuHgWLWX8vz9n4mnyLeqA/ibWXYNo+XVwR6PJmvvPa1fT6oXeuEvlWc2Yc9lu+tGZof4o3kFv3tfJGvIEJ+wXIK09fisyhnITmWJ9IzGo/09XyaHTBY/h6m8GSw/ZLNwQyroXkinRhpvGr9x6NoT6G2TMywvNG42rh9pdFBcX+VkQcKsgWMffTGPpZvN0953dkZ7FebzDN9MgEP3d3M6sSAWVa3UcAwI6+Pp0vmuwGiJFbIPpaP+ti2DNBHFAHtKFl6bREAZaCN6YRssReJhSV+9G35SN/MNd2WSdaej7T1UQ/geDIi4FhbzBX62MdEPvhBLJeBWgaiGEXxge2vbByKCOlr+aGCKCuX+VO2WGEyIl1Y7tPfLRDplJ0ni6PZPl48QXNgvFE+rC1ItHxE2UIvu2ZMhyzAz8hhtvfykr1mi+xHHvHl21dUbNRgEqaflcNyq5fzEG+0/0sfr3CK5lTbPyM36wOe7a08dA3NN8JQXkHL9iLiGeF2pE+N7ZF+kX0ZRvL0ytq+FrdkeY2KxZ6odFDc72NCQYcVG7p/FCze/e4+Py+oRuDFSzReoGKgNrNJWVAcJelZQkWz/p8lJqSr94V6EWCJ9PQSN7MBA5l6Tl7SixJpBATtawTEdBujTHJk4MKOq90THnkABfEuT8MgnTLys/vny9GW3YNZ4MtAlCeXFQ2PPtoecGcAGBuXWR8GXqI95cnV/azPo4/IeLwjXbLxITMO2YDpl4kdDMS3AYdesYL8lsUaS1k/YuuasYHHm+mSife1PspyZmljtvN8rNPBhz2Rnby5oz4od1m9dZuHpVgf28Z09OYy6l7M5H/t90gGml9NIR7FlUzM8eTocfZGV3bfWExjbWh9GNlQv//MZ7A8JlfPiV2zc0F2bftTeFY3NC+7Z6Icm8GxjM9+oIPi/ioju1Fs4EAOb51/ZWXweraQYIHe6sb0ZoGeUQYw6PlHCdTTLRqXSTDoPbKxNy5LyPY2eCIZWh8Ngra3RX7hFwb7e+AJfRYdydNkCwkE2tDcPICs+2T8j/Fm/dnvzkcgPMPb9vH8PeLtFQ01RVIbqp0nG58taO24GlswuQzI2TlkQV5Gz2icN4eMXb3H8jV5BbVHzE5MVhRXEFC2ukRgNuvbtb5VI7emILBxhclHMTLDE+leGzsi/9XyEbWNL0hvJAfZkBU5us3m6Ig0z5rH8jN4J4o9iLLFTZRP7f/RPkVjtBxU7KL+3viMXIYD0LXIBoxntIdZH28uVifE55ZbsA7Ib709yGIUsz3ya0Ys5vzSLzWvT3/6IG80By9nWrtkYs1+ooPifp8TA/8ZAFoCa5QgUDBmQONybTAtN9I3eiy/LRgu/NideyvDA1Slb/RTeEjHSO8a4JkFpzs7Ih/+8KCMCEAyfpFfsC/UQ3KZXZFOts2bC9PdS0KMv0de4kfyMocJEfhBlLEBGmP/93wU8Yz6Z0BbpxODAdvf8mEACemWLWiQvAw4ZfLYfovGM/JitfZnbd+IsrmktsBkelqdvXwY+SEDxR5l7BvpVtqRLoxnFH/1+0xB4vkYk2fHefb1rnmxlfmKV4jYPtaXvXVhulne5fpb3iLyb/7N8Dj70cbMHrY6RLGG5XHUf2FB5Lu/e7BPbbFs52Ln4c3Jy08Zfy/jMvFFv4/myXTS8iJ9ke0z+uo+aB0jP0SUwQZWVs1esnNEfTUhG7797c3rgw8O9/XGefJYHEU67Rc6KO73MXmJCQHXKIFbKhvZPorExmUTcE1w0PqjvpkCswb4RkDFjrPAgenOdCjAgMnxCqAMYK0lCyqYr0TfaI/G6P9RkkAJDunm6R3NCVHkK/raZz5TB7q85JRZV2s7+xOF3lxq5WUTaS1l9lImjnk8M34YjWfAyl6LCqCaGFsoKjK8/ki3DLCxoE2/luvop4883tYGEVhEc8r6dmQDy7Ot/9f6PeKlQTxrQzrZ+Xg+Evlf2xjZtjjScpn+HmV0Qnw9gM+wgRdPdD9LH/ygyMc/PizH3uFEOpX+Xs70coHmzXy7vD7pSSJHjgzPia2PbXvHO/A4G0Nq1qyMQTaI1vdyxhW77xCWtuOiPmw9Pf+LfNSbS5TD9DVPnr221z+FZ2UUf8jgp2zOa4tbnuh0UNxfRYSCIQOs5X024Ws+6JqVrx/pZjoiWfZ/OxYBI0RWXz0+A7Q98j5znwWJpU/5vVE2JgvsUB/7+ShtC90/Su5MrpdI0WP5UcBmIAYlWwSQPMokGGQfS+XphQxIfP7z+4+eRbppYj5qPyvKkll0LSoQsnqOQpm9iIC5pih2ofdZwKFfvT6aR/QrEYynF0drxqE278kgT1/NxwOuiJB9MwWi5snyTeT3jLxDMZYXM3qy9xEo9fyf+WhNcY0Abyb36TGeXA8HIF7ZvGjl1bYhXbyCBo3XrwzDvOY1w7wRTkJy7TWbK1G/bJGjfbdtvEdr9pGPDF9junh2zcit4YN08nBkNo6yffPQQ8M6MUI4KYOvkNxsXka2YHa1+jE99bWax/KtvChfoGsI65VXL5ZH8Xs/0EFxv4/JK64ywTELkmrAvwXRmkd2w3kBGAEx2489lo/Gr6+LbG76+pSfwPH0szp5ATe63oZqwH8GkLHPzDOgrdtQ0YCKq0jfkkzGxzng9eZpZdcWgwjAPvDAoFzvMfmnPpWve3mtKSK0b3v9I7/3xmXAE+KZBR92fATyMvpqXZBvWzlMb29dmH0QiLdkdcvaF/FhQL3Glmi/ZPZrRsdsbPRiUJTXIt5Wl2zMqY0re9HGgDbjg2KkbmP+r6kGMGeBeaZIQfuV8fZ8MxrPijovd0XjNbEDM63TiRPY/9rEVv3eYqoaH2OYxCv4EK9Mse7FYRQ/o7kwOVqe1duTa3lmY86v/Aqfe3afIn2Rv9q+WX9l+1vzspT1UZ3vGC+N/6Jiu2Y90Ry0fZkNMn51JdJBcb+PySsibRLQ/Vngtv3LKR3bKF5A6vX8QqQGpEXBjQEcO180hze+UeTv/30fCN544+A4lNwj8MvavDHIvhHAjsBzZMPIVzJtuo+9bv9HOujX7W2RycmcvrbN8somNrYfRIb3BPOxMi4CX14RieaC7kAyIIjkWZ5ZPSPyEmkGlETgR/eJ5uvFJX2tFuwhvZGcCLBkebK9ZK95Md0DdtrXmOxav8gCdW/NmG8jv/fitu2j+dlcmcmLiLJ+j3IzW9/MXNCXIUa5c5SYbnl762JtkCmuENX2t+My82T+78ln+hRed90l8q3fitchs9ZaJy8XeDlL97e2Z3FUk2efNj7G2t78Ztw/wrY1MT3jfx6WYYT2NLKTF7PKK8pZXn5ketbGyCg/WD7Rd0TpuUSxOZJbm0P0eIYH9xMdFPdXGbHN64G9CMCh37mPeLPg5CXSTNKxurUFDEXe2bMiFy74PFHgtfzY+GwgZfOICqBMWw1P26cmkUZAzgIWZmf9cYJS3Hu2s+Pt/5niNetzRbesfdsQWx/2WL6mbGJE/Wvn1EZGrZ7RPGvH6fE1xTYCcrZfxrcza4biB2uL7ON9RhI9YcNAJpp7Tezw/DbDm41nuSQaZ+dn+UUxMmqLYlTUR+udKcIy8msAttYV+bSX6zPkyUN5Au2D7LpE+5W12flZGZo3ig9sL9lr3mP5kf9a3l6MbeOrnr5sL3vYAM1Rj9PvLaE4oXlnfaTQ//a/DT+JZ/9vkxctxowOHKJ1iXD6XuAANh7pULvPs7ka1QCeT7O4nZV7pdNBcb/PKQr4IsMbtDh+5Pw6ySKeHthH42wizc5DU5QEIoDtAQZG1o7enXuWZGtAmKYMSIz0rgW3UX+tm53n2Bh/LD+7xlrvrS2RiYlBHhFwsBQFfDRe7xE9jn0LMrqGeOpXTc97nsjJk4N89Gv5n312mCU9KxtRDRhh1KbNA9P22qtfnfMpbw7eOCs32pc1QJnFwSyY9fT2/IDpafsy+VZfNM6jbPyNiK2LVyCicZcD7GVBP4ubLEfXyittCIyjnOntN6a3lZHdJ5lCBlG0l1mOjeJ8Jm5nfI3pZPFVBpNYyuaOjH3QXLy9Ee0XpEtmfCbuouvRNauL7ev5X7YAt3xRTB9lv3v7DLUz0hjBjq31ezRulJ/C8/rYOWrsZSmTT62M/UgTX2kFDujykrdRdXuUYDyKCmEEDjJf1oTIC/RRANT6Wr3ZOM9OkY5MLtMlO4bJiYC9JfuFeppHNN9Rkp5NMLZ/BowU2t7uF/eoD/NNtq4eZdbVeywfJe4smLn22ubP8rL7G32fRG3yqvWjUZNjGb+zk5drfWXCZLIMcGC6RLZjh3dWLuMRxRzEE42L9qDlzQAdo8wcauNgNBf93o5rG3PseDsOvXpyM3NH8lkb08WTjwowFBdQjGWxo9a+Xry2MS5bUCNCc4nI28Ne4YRykX4aC/HO7nc7/vRprC+aC9LREstvds2iLzNmednqpMc9/PCgvMxetvPJ4AYRkUcfHdZH89Fz8OQi+bZ/NM72ZfL2MmbZtvLK4hHa51YHNCcUG6O9FBX3Vs8IC1md7BxqMIIdXxPHr0Q6uHO/j8kLKKw/SxCavGBRNm+UPNgGy2xwO6824D2THD0QxMaJ5H7nnunGqGaO0Rhkexbg2Wc39R14DyQyEB8lO2997GP5ExO5RGr5WLmoTc/J41nIPpbPgGTGjyI7IT31oUl2nzP5qC3TR8upGf+DPzjcpybxZsE/0yUCtRHoioBKtPZe/M2APD0mI08k9235dj3sx7Ai+Uhf2xfxspSNK9k97MWqX/gFn3cmZrC2Mt7rH+WJUQoStgae7ZneiKenL2vz5NTaN9uWkRutE+pn91TWZ2x/zRvFRM9/rU5tbeHx0W2///v1OlmeXlzQ9Ju/Oawbwy+WD9vDGfLWgJE3l0wOQbjByq3Fv+iV6YTs42G+jD1/+Ic5L09vFKtq9gbzkRofuJLooLjfx+QVlgiQ2Tb9p2l2ts/PbjAvMOi+3S7/Qr1sQEHjUHJmgchLaN436jNCNkAAvTbpedQWZKJCQq81S17WZzydasC0HY8I6abv3GdAZo2+kd5ob7A79zXyImJrbj9zr/vbuSCeHmXm1Ja8vezFlSi5I94Z/9O8a9uKDNtfhD+tZK+xwssjBlwz49g1BiAz/uRRtohsEx8im0UgsWZ99LpG5Pmo5Yt81APymbZILgO+pX/Wj1iuvRyUwTKNHlh5VEBF8cH2yRZYbC8hnprOno3XPBPHkHwUK1m+tzztnKxutbnWi/eWp7Z7DW9GGbk18iyx2OzJt35o9cpgEc1fj7O4O7ueaL9YGZnH8t///uE5ZGI6wqg1+w7NZT/TQXF/lRHboN6GsZvg5pv711EyQIGovNrHsbVeGTC7FxuSJUYv4NYUFJmfwkFtKFjOzPAxbYC1Ha9frWwmAwVl+4sBlo8eZ4ucyL6e3vrOvZZbCzKzCQaR5q3v3NuffNH7pWae6JoHPIu8LE+vT4ZnhrfXZvdLBrhGRWd2fHQtQzXrmgXOTI5+zejrAd6sPEvo6RAEUDOFAQOzkZ0sz2ie2fGadnZyebF2n4rU+UibeMbkefnfK3IiXawMJjfDE/XRr1F+QuO8/KCJ5WH9f03czvoM898f/3GRD3wg1t8r4Nleinwbjcvkl8weZnsf8Wa+adcVybHy2JyyOMfyRHJRLoiKZkTZttq8ZW3/bd+G24oc1mZl93q5x/Jr95Tn76y/1Q3pq3Xaj3RQ3O9jiorQqH8puFkA9YAdG6eLnIxOWbIAW8tDOkS8agOEHc+u1er0lrf4sjy5WT0929tHc7VddNvdd4u89rXN/+zbcm0bowisocfyyzgPXFo+5f9MIZHVFxWqXkJDFAEWBsK1fXVbNjF6h1IRwM7oXUtRscHGlP5ZMK4JATPdZvt4OqBx+pXJrWmzMrx1QXPxPkJU81g+4uHFQSTPA8OR7dGaoVxQA1w3N4d5I929O/fHj+PrGR/JFFCoDb1quRkbIn2jNo8yvl3rR1FRZnl5c2e8mXzN14t7mk/my04Rv60t7rdIXyQ76yss11uq8SMbk2v9qA1my/Lx4pGnWzSXNjyRnhYvoz52Hp6cDLZA461chqGiOGD7Rjb09l7tXmZrPSpOeaLSQXG/z4ltXgSCWHD0AgICe/Z//VoSHHssHwUyrRPa0AwUoPcooCBA5RVQ0TUGmD3eLLhNTw/L8+bn6anbSnGu36NxHnjSvMu6ZhM4AwW6D/M7/Wp/5z4CZLaf1Yn1jfZIoezv3Gf09GyIqOypTLL0gKCnS1vwZeV716LYE/lFFlCx/ll/8PpHYLrT4b6ULVasHA+Ys7gYxWvmf2XP2T0RUS0gy8zFjrPXPLmsECljvHWN9vCb3ywyNcX7RPEvU2ghPxThP2OIxmfXw6Mo3nvjasnb5xbTNP9jIcg+Nn5Gua9Gfy8+ZApF1r8mpiIdamJdNC6Kg1EOQXNC1yL84OmJ9lSUF9v4tqc/i0ssJ2xvD/O0c2O6RLZkbdZmzL76Wuax/ExcyvT3/I/1ifbNfqKDb8u/isjbFCL+hkGvlmd5zzaPvs6ABvq/Zn5IniW0wS0oiIKHJx8Fcc07qz+7lpFr5WWSrBfU2ZqjZJRJ0pGPZeeZ+UK9LO8MwPF8utPhj+VrygK5KHmJDB9sIBtYP8jI9fT1gBW71sbvGdBAOmXGM0CV8Y+aft64GhATyWfrkYmDNfsN6bmwIHLvvXV+pccj//GeIshQVge9l/U+1Tq97GXNHDMxi/16gv3JKUQ33CBy+LAfv6z8CKCzsew7OSzPLG89DvXJ8myTF0chT1620ENFg6dvtE/Y2iOeXjFYw9vL/9HaZeJuxi+s3Ih3Rj6bE+ub2RMeeThHv0fjrG5sDb7newbbPfsyHZFuXrzs9bjfWb66f02e9Pab7ZPV29ONte1HOrhzv4+JbcZMYvOIBWV9jfUvICMbOLN6ZsEBAlGocMsGBj0OgT1UQLBC2PLM2DVbLGQBB5pLBCb0GA+k6v4I+LJ1QfqW1+1tkfHxYZ00T+RrXvFrCQEdBOzKLwjYOelxjEcNlfEzM4Ofl9N2rQXMEfhm4zyebds8kIcKH6+tLTj1CPlKBIYzci1POy7aw5a/p4snr/Bgd3/tL2XUFDnenGr2RMb2tQBb91lYGC1mlD766Sik7//8P4t83ddxnlE8qiE0zstrdi5WR93mxcbIDzNFg37NFJ92bowXokyMRvsNyWUFCVqDaM09YnGRYYvy6j3plcWKnj8gXTy8k/ERhNes3AymsjyinJDJj5bYl0ZrfRFPq5P9+T80z2w8qJ1ntN+0DpkvF834A+Jt9crm6si3a+PolUIHxf1VRDbglmKjtOk+2eRj+yOejI+XwC1ZfW2bnR96b3mhOUQJwurrzc/+X1O0eDzZuEyQYuvKklwBAJaHLc5tAI5s3zaR2tednX5xj/qyOSF5WXCL+Iv0i57IjzygzHijPtdeO/j77hFY0/JrElrkr96aZSgC2tG1GhtmCu8o8Wd9xerigWEtF+0lRghEdzqaV2+gr/2f3XX25KPiPhvLPTCdBZA1cSWai+WNKOMPjKLvsUB5DdmAxQxUSGudvPmyPJwB2jVtVkYb3ownW/OM/3jFXyY/RcV6Vt+ojfGy8iJMg/pkv6NFj8nuYcYryofe2llCctCeyO4pLzZneDLdvD6eTmV9yhN6Htb1CMUXRCx+6nGe/+rH8lG/7/gOPK42n3q+YvvUytsvdFDc72OqTSLeRkGv5X/0mXsGNBCYsRQFKkZvf/vw+GxgQAAW6ZMBkNG35WdADAren/mMyPnzeKwdn7nmBXw9l8iGtk3/jGAGcCBdPIruhtUG7iyg89pKYvvIR/q8mO2sXEYRGLA2ZB8DyAClCCi0sa8XSxB97/cO68RiD1ozD1REdtHXNLBi/aPCIAP2Il2QTm1Iy7vllmFdMuM0ad/O3KlBPJlP1uQnRBFI1LyzAD2Sm3ksv2btUBHKQCqSq/W2/a19tC3QOH3Ns49Hng1GBdrILvoVUdbHRp0v4s361GADq0vGR+0eK9cyX/LXFkfW+AXSD/Fk79G1KNdquW1iDtPX5hBvTzHdUKyKxmdiTLQu2RjL1q6817S+LvL4483/99yD4y/TvzaelTb7avVCcvdbwX9Q3O9zYgAbBQYvWHk8WdIq/9svbrNBtci0mzc7L69PpjBlACeyXUY3xtOzIev/kpeIvO1tvI+VyRJgefW+UC+rGwPq3rjo974j4Pr85/ffI//zdGIUAVj9qnXV/+/siLzjHfGaZwu1CHDYpycsmMjOxbZ5ukR9IsrqVAtYI31reGfnyeYS6ZTRt+jh6ZTdL1ru3JzIG94Q+7SI/1h+BJwtb6s3iw9oXHbtUE6xbZ4uEYDUOcrGTzbP2p9FrYkLzB/YtUxsZnp4vpbZZ9GaRXrrV2+fRGTHlRyir7X5yImng36k+n/8D5E//mOsE7LhS14i8s3f7PsYetW8vTmwn7Usr6yNkedjTCc7DvXXr1ZHfa1NbI5wb0Y3Rkge8mP9iuKfjTWezyDKzoXFv2zOtF+o95GPiMzOinzhC1yGfvV0svs1Eystbw8v7zc6KO6vMrIBBSW7aDN5yVY/llxIByb2O/dZUIP6MUDHiBV/ui2TxOz/maATgUwRkWc/e7h9fByPZTbMJB2mL0s6Wl62OLI6Zb/NnbW99KUiz33u4DVvzTKJSfOJ2rI2RnsJ6ds2sejxN9/c/1JBZF/kMzVy2+wppK9+1cSKJLSvveTM5ukVbJ6eEdizbZli2yvKoqI30pfx9MZlHsu35IG+KKaz+G3bovhieeqizJtLJmZF+jLeiGdkX51jkR9E/l8bRy3vNrmPyfMK4pp8mm1r42tlnLc/LW+mE+uj1/yP/1jkPe/p9z97FuvGbH/33SInTvi6aJ00v0hPtmbI57xxDEtl5Vmd7VyYT7FcnNGbycvG0UweZ3kK8bFk7bSzw8chezDS82SxuCY/WR1svFtZGWxHc8hiL6RnNtfa+baJcVcaHXxb/j6mqIj1+uvN4L2yxMD6659M04Q2o9WNzYtRlHwybTZwZgoD9oV6yPY20dx1V3Naf/ZsX4c77hA5dKgeeGXBD0uSZS5tknttUM4Ae+Qz2qdqgFkmOWfmy3Szvty2wLS8tQ5l3s98ZvNnv/wwAj+RXHuttgCK/C/DJ8M7wysbM3TfTBFQQ6OCCy8mlvfe2iFeWb+3crzH8iOeiHcEIBlQRuPZuMg+3j7N7Fd7zXss3wPKNboxXZh9GEW+EtmA6Y908Xh7vsr0tnJr8771w6y+0dxE4l+AeMYzBtsy+xTNOdvH8o4+OpLJ45a8p8e8Nc602es1vNHcMrghykGev9bGFRQHez1e3GfiuPUD9iV/GSykddPjymv5Q7KZnhls0WatMziU6bQf6ODO/T6naFNExWsUVFGQsdcyj+Vb/lkQ4bV9+tOctxfUo8AZJWAvGbBEbPlp/SYnh6+xcZZqAiYDOJ0OThDoJ6Sydq0FDHZ8eY9s4iUfRAz0eXPS+8bzh+gzdzXAVevLeCJ5WVtk/bZNoejJqEn43l5k/hvJtfPJ+iG7lvVfpAtbq2xx5slD80XyrG/bPtEX6nk6Ff6Mt7cnsvslsmGU3xhPNi760jzWhmTpthr/s/KimBPFMYYbmC5RW22uz/h7lEvQ/1qHKLayNa8pBiM9jh+PYxXzlcgGpZ+33/T346B5ZvKUJ4+R5pkpxgpvPd5eQ++tvNp8mvFfJNfzIzZvxLP0sTHG+mHxh4hq9g3SJYpn+rF8tl7enmL61szBm5O3HvuNDu7c72PKAAC7Ab2gwQCoF7hE/OLejvN0Z2QTRfn/T/6kz+d1rxNZWxvuY+dlE3dNIaPB3s4O/rk3FNy0Tl7RgNqzYBjZN/OZURvUM/bJgHfvN6C9xG19RvPKJGkkowaMIL+pBQxoLp5cj7f1ewTWrPwIqDAdIvtkyEuk2YJC98/4vwdcrdwaIMf61IBhNC7jv4UuXhzUhfFgfph9bFxT9FN4bP9qnlpXKxe1sbloXuy7PBjVgHc2nvUpe9GLsTU+hmzmxZdCrFCryUGIn71m5Ud5QvdH+cWbE5JbQ95aZ4sGb7+hPMP0zdge5a7Izh5mYHk4i8GifVNrX4QH2ThPBosrjA9aM2/fZeaC+lgZmT7Wvki/Wl/NXM/YNcKoiNA+yORKli9q1hphtzY5+kqjg+J+H1PZAGfPNl+kxJKOCA+45X/0qnmhPhZAeoBSy820eQELzbPTwY9vZ5IA42l10a/f+73N75AjmyFQ6yU7HZy8302tAacMJFo9GfhvA5DKtcy3yGeBrwbREXhCsjx5Vm9L5ZvxEbHikemErmeTVrnOHsuPCj17LbMnvPGID7NFtk3LyepgAQUCRhk+SKfaAsiTGxVAeryln/1ZkRtuEPnqr8Zxhenr2Vz3QYdwnm9HPBnvGgDJ5qn5ID29QgTJjfIEko94e+OyOiHdmB9FhPJa1lcyhYy3Pmxcxr6e3t64mraMb2eKOs1Pj2PyWVGO7MN4ZeZr55d50ivKF1ZOlPuyud3y3N7m8lkM8OaAcBabE3qfKa69vZvJQQwLoDXLxt0oP2kdEP7zYlb0U3hRrGP90fyyeQLFdE+n/UIHj+Xvc+r1RL7qq0T+5b9s3luHZ0GH8dKv5X/7s3F2s9Y+lj8qsUDPgjIKoOwOaBSMRZr5PvaYyIMPDvfxkh7SRdvp9Onh+WTAFtObJVQEKpHcLDjVFN2xr50TAhNZkJuZi+XJkgkCs7Xj7HhGHohu+4WFDBwgm7ctFFmfzBfqMaoFZBGhfcfa7LisnbTeHqjV5AHs9fV4LnZcZs3Yx27QnXtmJ6aT1QO1WcqCaG/N2HxZXLLxAenuHVZ7h6NsTlH8yuzv6FA2WwBpnbLxl43L+AP6P9oTmvcosdz2qbET82ONjWweFRn8AmIvn0bykN8zG+jYw+7cZ/KpZ5/Cm5FdM32N7YmtrWH9GU80Xr9G4xAGyuS38j8ab/t6/mv5RI/lR4R4ZnOnNxfdR2T42/KRjnr9snsRXcvmdD0Oja/lc6XQwZ37q4BWV0U2N+sSsX5vAYOXRDyQp/uiTcuCtm7LEAqETF/bjr4MJkoiHkCvDapRcmc2y+jJ9NV87DXvjrhtQ/5j5erE7yXiCGija1GyapP4kdwM+IrmyZKW915fs7ytvFof8yiyL9M3AqVeW42edo9l927kfwiEWHlIlxr/zRR3NeCS7UE2Hn3hF/Mx3Q/tO2YnNpdoL7N4mo1HjKy+LIa0iSvf8A39/OY9lu8VFFY3rXNUbDDfYvMs+wXJt7pZnl6bNxc0vmafWx/L7CEkD/mfFz+zMSCjRxlXClbLC/mo1d/DUPYayzfer6vUYKBMm/UH2+bhBpEGw1pdPB+3fb38xMZlsEzka0y+5mP7WN6PPDI8zr5G+Ma+R3jDwySeH2mf9IjF2Ez/aK0t1WK2/UYHd+73OXkgwfazr+iaftX89Xu7kdCd+4hQQPICNQtyURJhPKNAhqiM1yAT6RLx1InbAuz/9J+w7FqygQ/NXevGko4lL+lFbfq1yPKo9EV3H5C+GcCRBWuRbp7cbGLxEiECIxaslWsZYFYLQizVzClzrfDMJn5vvC5g9DhvnhHY9Hw78yWKGaDiAXxP70headOvbJ6suM98oR4jFNdsTM7EF8abzaeMR7owQnmG5TfbPxtPvJjF+DA/iijKXdGesnqi8fpa9rAxI6+Q3S/RnBihcRldItuzPYV4Hzky2MZ0YpiL+YiNHUg3lEOsXKST5+PRuniH+t5TBJ1Ov7hnTxRZvS15MTIah6htrPL2NZpDrydy/jzm7eldo5OWy+KRvsbmZO/c2/Zs7tP6Wr0zsaom90Vx4kqlg+J+H1Nxav3zc9bhUVCs3QxekSGCf+eebWgEnrLzLOPZz88wABmBdxtQLHlJEs0vA+iQviIin/zkMG/7urg4rCMi78uefuRHms+4RfONknu2jc0XydXvEc8ItFkfqymcvPW87rr+Nf1q5dtxNaT3kAVK+lDJA2Qeb0TWdm3AdLR/ojZGHniO1tyjDNBAurAvmtPjMsCqhjL+nm3T7dnH8pkembXzYiXr59mV8YxAXhRzopzH9I7u3NeuHZuL19+Os7na8ozsG7Vp/7Ef2WP61voos4GHLay+jGrGMx3sPFDues1rRGZn47zIdPT0ZdjA8kAfP/TWQl/z/DezF60fRv5XPnPvPU1Ys8+y47I+Y/Vl8j38UZNr2V7G/TtQN0teDI9s2evFxb3Hm/Gs8T8m2/OxNjn3SqCDx/L3MaHAhECJTYg2MGlAp8eV/73P3NvTWPY790Ve6dcGfGv5lqdujwCOB2YKTw+o1H7eUetpA1EmMWkZDz0k8rnPidx7bz6haVnl2uc/359LpzPcn32JXdZ2XrCvTWjeo4V6XMSzNsFYWfffP3gtAgVtADrjzeRF/p+VHwFeNM4Dm5nx7FpWX0vajzN7ow2gszGP9Y9AFGrr9USe+1z8WVYU3z2KYlV5Rfyib8tHc0LXEPjXPK1u0ZqhpwmiuXggHOUCND97mIxyJrJBtBcQ6Ef5G41HtmOxLuMzbfNhtJeyOVfPzbZ765rpn83/iI/lYf+3n7nfi7hrc3WUX/QryuM2n2bjH5tD2/zvzUW3tcklNXFfj0fFYGlnbVYXyzvSia3BjTfWyWdk/QfJRXwztrB87Rgv9nj+z+bQJqajOexHOrhzfxUQ2szIydlGs5sIten3+sRegzQveHjJuQZoF/leP2+DozZPN6Sfl2Aszwj0eH2QLhsbw3zsK9KPgRh7h65WJw+8Wz0ziV+3ffzjGKAwnbz5ZgCoHuclhwxgzfo0AqLlGgJm6DsjMnKz4Ftft30ylAVkWZ5RscGAiqeLB2I83Uqsq11zL9bYcV/7tcPtiI8d5xU0TLb1MS3H2sLjw3RCj+WzuSA+iNiaIfnetYwumZjDKFNkeLHWA65Fp4z/WtCdiUuR3lre5XgsX1+riT1IX3QtM/cMFkEyInyV1Qnlo2hdkQ6Zz9x7+2UvcgnKld7+ZPguys2ZubBxTJ4XA7z4acdbWUgnexPN7nfPJzud3gD/mpiVxba9no+9LWVsz54ey2JF5vfR2u0HOrhzv48JBRG7KVBCQAkp++VAZYPrpGHHlUDEghvabFmgpMfbeVp9rX0ygNUDGoV0gLvhhuHxXgCtBZ5WjygIW3m2DwPD6FptstT+UJv0LG8RkX/yT0Re8ILh/h5wYDwjsvbykrKVy3hlQK2di91bmuyhmtUtokzCr0mEaFxm/+jxEYiO4kL0dIknt6Yg0Tyzn7lnILdWp0w88YpAxsd7LD8TlzJzqY11tYDOG6fjkRez0Fw8cKh53XuvyJOelIt1UXHizcXqy4itfRS30SvSyfIcH4/XRb8iG2TlMd7ROIaPovFo7SzV7G/Eh6111mciX7EHxFn5tfbR4yI9vX0qMrhfkU+2tSGaXzQXb7+wPhY/ZPEOy6eZeKEfy/d+CYrhXjYXqwPCRloWy3lRHtd97f9WFzTe88MaTHMl0cGd+31OOjDazatfowAffdmJfm+DovdTeJoyANS7Voh9Wz4K1CjQWvmWlw0W3W4fxFjdXvjCmLdnwza6lDa0ZpmCy/bpdPA1L9CzgO3dyWGJwfIuNDExOM8I7Gk+mqIEkwEe3rha/42IgcsawJsB2qzN+oOWH1GN3FF5ojXLrnUbG7LPomd4R+AUEQI9WSr90feT/NVf+fqWmK5tWVOUaT4olzCQGa0ZesooinFejEUAH80lupP4tKf5euv3Vk8btzPFBtOl1q5sPJoD8l/v5xItb49q4kNWXrQ/0XwzhYjV0xY1beJvG/sg37LXLUZgPL2cV5P/Lc9oPefmRCYnh/vXfObetmV1QvsOjUNtSJfIV9k13eYdxHixw16r3Ys1sTLzhXponKdveUXzY3a1fdBcPLn7gQ6K+31OqAhAr+X/TEK0ScQGnejOvdaL6ezJ98gGgQi0Ibm1AXBlZbC4zySfCGx6QJfpkpm7JvREhR3r6YmCbQags7YHH+S8Edm7QlHhVAt8kd56DPpf90dfcJfZb5lkZ8cX26ODDpTsej2RV71K5OUvx3PQ5CV1yzOiUeZbQzU6Zca/+90xsCpr7t25L9Tp4IKNUTQXD4RnbL6wgMcj8O995j4iFmO9/WWveYAOxVHdh+UwZqfMz+sxUO3FOjTO6pmNSxmddP/IVzL2RW1Invdb51ZuhmcZk/UVRJEf1cQx5GdenqhdF8TT8srsc6sLkhvJyOpb22ZxQ7n27GeLfOu3Ds8l8yWVmZjn+YEdF80l2sv2mm3LzAU9lu/5TLFTTXy2ujAfY/PNfE8Kw7iMH/Nbxj/StzZnXal0UNzvY7JBBG0mtFF0/9LH+0I9G6htURPdzbI8tS5IBuqv37Nvy/fma3l4xZGlf/APRNbWeCCxryzgMTvVFCnZhJ9dj9pHc73AGwXzpaXBcWiNtbz778c8LaAqr6MAqwh0ZRJ4lqflzfS1hZddF8artB061NwdyVA2uTOZbfpn/N4DXZoPksNiSFt/0OsSfakmkh9ds3Kz+lm5Voe3vlXk1a8e5lf7bfneHDRpOyG92wBtNk8kl4FLZF+mk+7H1rr2N9OZnmyerK3olBnP5ot4euTlgmy+ieZkKcrLXv721jzimVkfxC8q5mx/K8+bG3u1cu382CPank6ID9PX84dIHsKtlifSAemG5uK1ofyd3aeRj3n62j66LfrMPRrPePZ6Io8/3v8pRsSTrYeHqct6sTlmbbi+zvXwxlnedpwdj3TaL3RQ3O9zioBdeY0CUc1n7nu94buqqBBh+qKEltnEiLcNKihR6IDkAU80HvXx7txbfYts71tr2d0PlPARcEV9M0DD8rTX2Dyjwr8GoLP5iTRfLoZ8y84JJULrI9lEEemUmUsEeJlcVIhov/V+Cg/plmlDflQLwnWbt2/YunjjNAC0vFDMyRQbHtBGr5pndOc+AkgReEKU3S9oLuz7L6xOSF5NkRPxrO2DiN3lQbogwBrFSMvb+ynRMj56iiu7T7P6MkLjECaIdIlius1BmY9M1cYqb10y8/D2d+TbGdvrNoYjEGXysaVsjGTy0Ef3UBxGPBnvqE3zsf0jniL1N0GiuaDXzDw9suOiOGp1QnZixb3NgYWiA+bNzeanGJFOVnaUl8s1+1g+w4ceTxGRn/kZLL/MM7PWer5sLuj9fqGD4n4fkw2aaNOh4sG+Z0mg/G8DkQ6+5VCAAW32PiowGRX5lo/9srEoqOq5/+VfDvaLwKyXbG1fzRMFIt2GyLa94Q0ihw/32zy7WYCEEkRpy65HTeJHSaT00a9IX5H+OkdfCuRRBhwiUKz9is0z+t35WlBbriHA7O1TBliYPAYu2f5E72vnxPhkE68HJGtAZkZusTPiWfNt+R7wszpEBZiNXeya5d322/3LOOv/OlZEa4dyj6cL0ykzT7ZfkPxC7Oc+LUWfudd6WN08GyC9vfFIDtv7CPBm8oy3b+wTK97BkTcHzdPq6M0FtSF5jGeRGx3OR+81T13IoKIoMxemp33vxflMLkGUxR3ZuTA/YjogjDA/H/POxFjbFmEaO3eGZayMzJ5CuqF4dO+9eL5MbyYXzSvaixGuE+FPzX7xi1gnxnNrq88vwlCZdWVy9zMdFPdXAbHAZK+JDG4GDxgVipJISZb6M+k1oBbpaPsw0GaTrZ27fmVB7iMfEfmDP/B1s6QDHLKhtb3VDekbBeoiY3q6+YZ+L6kz3RBPe3cqCpyMp2cDpBNr00ByZydO6lYnNEemb7bNo2jtHnmkPc+ax/J1H5YsPfkZP0J62j4ZwK31ROtpZSCf89Y842PevvPmG90Jt3qyuSA5EbDSY7xCxPZn+np3yKKfG43aopjh7U/Pdp7PZEG0brM2sLHZm0v2sXw7trbYQPNjgNeTH4Fhj8p8be7L5vpMvrJjPJ2iNi8XWDn2GppLRu/M+mTigpWZ2RuaD/JRzS+b45FuUY7PtjG5z3mOyPXXD+tRI9ebLxqH5h3NReuEeDP/83Lg2JjIyZMiL30px1eaIhxqeXg5j83X2lX7F9KN2ZBRGz+yc0Fr4K3rfqGD4v4qIQ84eG36WvYz9/b/zAk+08XyzFDmM/eaNwpKpc/KyrAOWaBiiQUkBLCjhM3k6CAbPW6rf1qGkadv5stO0Jwif/DsW3iPjw9+YUxNUkc8axOFbtOvteO2t7FMxpuBH1uIeEWOp69I7vPinr4e7WXiL4TuHjPbs7iH5HprzT5m5K1528Lfi9f2GuMZyauJS/pprOiz3eia9lU9D6STJjRfb2+wfp1OzKv0s+Oy8yz92fcWMBlMPiq4PCp9IvBe+njztPZBeEH7Relj/WeU+GtpYwP/AhAb9+5395lHxVy0JzI5pZB+wicbPxkOQPyZzaLCr1yLDqCiNdM0Pt681n4sD9mcjff8Kbv37VxY34xvWj56nNYJUS0mQTGgNh9b+6Dch3hYXigWiMTflq//j9aayc/uT0QlLtm4+J734P5XMh0U9/uY9Aa4cAFvUC/w6U2YCaq2TSd8+1NxKHB5QceSF3Si5JctBkVEvumbRJ7ylEH+EQix82R6arIfX9Djsgkiuy62TQdk26+A0wgkIt5esdAGsFg+Ozt4nmxdkayozeMZyduLz9t6IAh9T0P2McvIH5gObRKqJ1fL83RiPIudx8byPmrbanxb97HEPoKExjHQZvvbV8+38T7tuXPy9GVt5VrZg2guWu+MvnZPZIoTyzOzT1EOYvtG72HkK+hwlO1XEZFbbxX5n/6nwbZIz0xfe41RBKbbxPTSJjJ82JONR8i+kR99z/eIfPCDw31rC55s0WDloDZbVKIxDCdlMAmTy3ha3khPND6LoWxb+WlatofRfBHP0sd+NlvHI+/LOK0tI3nZ2OHJi+bJ5Hv+H7UheZpGvXNv5+XhOs3TjkF9bbu3T1AsiOyq++hxdi6FPvEJ2Xd0UNzvYyoO/PjjIj//84PXvKLBblQNosv7QjbQss3nfbmV5VnGs76FJib6BZ7ui8AWChYWZOo+Rd+pqf5jYEhPEZHv/M7BtjZFHQKSdhwjawPPrpqsviioe8GYgYrsQRDTKQNmC5DMJtmMvJrkXsiudS1g9gBj6WN18drQtx8jnTzeHgjJ6onkIt6jtCHdEIiJCqDsfPV+QXraPZy1L9PFrnVmnAfM2Ditt6YoHnm/ChCRt7+Z3yDfZnHbttlxdjyap/erALVFlYjIM57R/EKFlVujE+PNdLL+EMWTKB97fqT9wfpUtiBhvGspiruZtsx+Y3EW9Y/kWn6Mt+cz6Fq0ZrV+yGLr5CTXxRtn26xumqfdk5l4z+YS7Q2kP+PJKMOb6YvaavBO5I+WB7KPxQt2jNWT3blHNUIU43QfNoeozWID3b/tz7leKXRQ3O9jygRlBJSQo9d8oZ4OuiXJR1+oZ8ejuVianOw/1swAFqIsiPF08eTpNnvQwBKbvutXrumEhqj00TZAYJhRr9d/vN0WR1YG86PoBJ21RY/le/MteutDjQyvyB9qQB8qJpm+aE6lzUvsiCwgs+AnKjrsXHR7uYZ+qzaapycP9fXGa1DhARQ9nu1Jqz9ajygGZOTp/hn/b9Nm9bZ9avUsfbynabzH8sserNXJzomBPQQkvbjt+YF9tf0YcM38AoX3hXreTwZaHVk+1G2jAHvmY5YX8gPGU+vkPZZfu5c8yuAItOdtW4SBsjZEsVTzK9dQgYPGoTjI+rG5sL2l9dJ4Q/f1fA3ZtFw7fnxYJxZb0XzsOBuX9Jd4sp/waxNb9Wt2nDeexRzG215n8bBQFOu8X/GwfmjXMZMvPN7RY/mjxm2tJyLU38Ov0fpeyTTxlVbggC4fFcedmBi+JjIcSPSr7uslaQTIbJt9LN/283TX7zWVeVlweeqUX1BnAz0DlUgXPf7eewflf/u3D/NGMssjrvaxfCRfEwKQUQGj12ViAhdzhTJ3KdF8LB89LgtYmFyR4cfya7/1OwIhbE7RIRVKGtFcmLwM4NB92c+weYAKkVesML3RHsnK1WBExxwPoOv+FqRGgMG+R/skWh/mY6P+tJxHmZjJAKP9Xz9SznyUzUXH9O1t7muj2CAbm+14/d7zGb32WZ6Il37VY2zOZDpEMdrTsdYfkO0zeVH38/YU+0K9zF7yYpa1s9cW2cSzBdLFi+1W13Kd5cyxMXzgnrG9l//t3BBv1CfyUSSD6fv1Xz/888dsHJpT5O86trKbRZm4q/0d/XpSNjZn18w73KqVG8WDQt53KaEcq8dFfhCta+GLqHxsw/L2/K92L+p+7NWby36igzv3+5h0gBGpT+B2g3lgrxAKoN44tIn1/5ubwwGp0MTE4BeSveY1IkeP5hITakM20OP0eNv2whc2/7e9I22Le62DlvdN3zQ8fmen/2U2EcjRvG1x7yVGaxf2yKr1sZqE9vzn9/tYfa1O9gv1NG80LuJZihVEdk66b/SFYp4NrF5oPBpngYPuz+5oWJ1sn1qQmNE324eB90ziLeuhfTRqY+uix0V61hYrdpw33uMZEfMrb04M4Hufud/ZwQeDbA5oLghwZ2yH5mfnYnWJQDjSW/uPt4czv47ijWc61fqYt18i/8/4mJVn85TOCRZ76P61VKNTjZzadUFyvTih/y/9r71W5E1vigsST06mj+0f7X07ho1je9f+GlK036JCDWE+nfe9JwbZDRJvL+tXZKdoXK/X/EoRmm+Gt9ef4UG25uzjs0z2C14gct99vK/VycPN3pczF4xsx9Xk2rKuGR9Dc7H+FH0nyJVMB8X9PibvLh4D+CxZZk9MWVDNPpav2z7+8ean3ayeRUYp7m2x5H1bPpJl/7eAE+lmqSQ3+6VCf+fviNx5Jw/Keh3QY/m6z803izz96cO6lOJeBz6R+JuKS5GKwKmV4SV5S9bvtC2zX/jG2jSYQI/lR4lC6695encw7Vx0n8zBiJanKZNQIoBkk13Nt1OjNj0nOwfGs6YtkosKvYhYzEIFDeKJ4lImPqE94X2LfMYGhQ+7FoEZpqcezwq9bNGgi/vax/Itb90vA9oQ/5o107yi8d5n7r15sgIIUTY/2fgT2Rz5WmafaBm2D7OBjj06dtgniaIYGRHrV7MnUFvG7722bIwqtjh2DOvC4gPSLyMTzdPKq/3CQ9Yn059hIK1fefWwZvZLS9E1hEm8eXlx146/806RN7zBj/OWdyZXF8rGgJo79yIit98ucvjwsE4o79fuDU3s0EXPyZOXiV1Ilwi/1sSgK4kOivt9TAzE6ldvE9niISrSbWDQvNHJbkTLy8Pz0JvQ3rm3c2Jzj75EBs3FIzbP8mof/0KUuXPPgtT2dv+jF3Z+HlDo9fhj+WUcK1K8Aobpm/GjKMGU99GXN7FkjkiDU6+Plmv3DeNZ+lgq4zy9ogRqC3n20QRvP9j5ibTzB8QzC4DZY/nooALxyTxBYikD/iPAgcZlDokYULHzi+buxSovZmhebb4tv8yzfOeJBaAecM6ALauj/j9aM90HrZHuc/78cEFh5+J95l7bUI9h+xPp0qYQimyYkef5n5cXmTyROKYjyuYpRhl/uO227YH+NXs/KhRR8cX09PwiYyePJ8Ju3niUh9HaRXNB/DPx08qw/S2O0XsRHSgieRa/tsnVyFcYz9o47K0Vw0LMdvoV3XBAdmb+k1lXpC+yl9bJzrc2H2qKYqOWg/ZotN/2Ax0U9/uY9OPahaIgh8gGWhYAbdFcrkXFnL6mxyEZmr++c6/Ju3OfSdw2ADKboHHsG6TtXCx40cU96u+BEv2dBtHnrrUN9Z17BshtsrL6ZoKrbWP+xw4MrC5WfgbUsraiJ3rUD+lddLSfWWbjos/devOMdLG29GyP5NYCSe+Rfw8wR+SBy4wt7BcsMWBk5WndkVxmH7vmVu/MZ62R/EzR4ZEHVDJA/bnPHWzTscSCvJJbvMfymR+xQiQTm3V/1Cd6LF/z+ef/nOeuwr9NXNGFSHbvI4CcWTMPFOs8w4oNZHuPovxvn6bK2DAzX0beXhYR+ZEf6cnTnrYD+3h7ERHb8x7+0P0z2CsTM7x1ZXKRLKYTy+eWRwZDeeNQjI58O4Mnbcxi8nRbNv/buYxiC93Hs5Ol6GmYzJ17+7+HMaM56D5Wltap9LG+nMnx6FrWx6wuds2juV2pdFDc72Mqj04W8gASCoSlHQVOxhMFVXZCXAu4NfV6uLhnQaYGtFn5kS66DX1xYBRsiozoyYhz5zBwtZ+5RwmfJYHoM/fobpZI7tFj61tWJ9aWASro4wRZgBMFem88Ag6WJ5OL5hkVR9m9iIoU2+bppOV6d+7ZPFGbt7+ZXA1c7fwsT61bGRcBuggMZ/Vl61rz8Y6oDdkVzYXpy3zUjit2PnGi+d4Sb56lv/dYfhRbbRvau14B5PH07It42TWzsc6uZzZ36f0d7Tc9hvVh86qhaJ9Ge8Pze5HhnMDiEdIpozd7H+WUiGr818aViLx4xPanF0ctX6ZnGefhjrI++n0mH6N9ZgtGFjuiNqub9n+do6ObIPqaHW/tkNHJ28MR/vXGZX3NzsXLF5mPCjJM0QafIRvY8Xqc/YUrTy6zUyZ/e/s0iwOuZDoo7vcxRXfuPVCiqQTTmsepbVC2RS8iGxxtm34VGSzwtNy9vHOv23QfO04nHfaZZS+QdDrDj+Xrtl5P5OJF3FaAdrFdtB7lFd25tzZjttB3zpEt0HytnVCbB4Ztct/ZweuZAdOaig1rvlAvSuBR4vZ0inyNra+2a6YQsvItOLD9vPUpdonkobHoKQgWoxjvmjXPxiEPNCHQVdqib6DOggkEcCJf09c0HxbPvDvM7M6GLu69b8vPPMFk55sBkHYOhZdnA9uH+b+dZ+1j+VqOFwO8PGz183IRm5/ti3hF9mDjmJ42ptsnahh5eQpRtM7lWvRxHU+XbBGa0a9Q9HHAUWJGtpCxvKPvZbJtnu8gXTJxiRWYNZ+5R3O3uQTZANnC8vT2BLqu5WRsYW3C9EWfi0e6eXfuNU8rJ+M/Gf9Fe1jHUf1R2ozfZ+Wx/jX7bT/RQXG/j8kWLNkNg8grytjmL//rL5my47ROFqwhGbqPV2B646y+SCd0wotkIJ2iBFESmp63TlpWjr6GgKReZwvWoyRgP3OPwCGyr/7WWi+5I14seRVf8fQttoi+CFDz1DrZ/tpHIwCq+fR6Il/zNT7oikCFt9/a8GRz8NYH8bJ2tV8s1gbweoR81F7b2hJ597txnMh8FwiKJ0wu8xlb3FuyumT8v4yz80a8MwAfydNtHsC35O1vfefe6o5irtWpxj62DfFkc7G+Ysdvb/vg2zv4ZLFKj8sAZpHGt62ebE/pw3KW+1Ce8HhnYpXXpuOE5enlIG9d7ZwybeV9tpD2dELj2uhUrtmnGJBfZfOEnUMUf+3eRHEzwkuaF8J6rM3qEMVf1Kdc8zCftYnHC2FUZEPvezPQGjDsx9Yn66OveY3IwsJwm+UlguMSsgXSXc8h2rtWXza/olPhx4p7pG/myUakS8bHohh9pdNBcb+PSX+Lukg/OGpiQRkFqUwxx4Jb9nfu2WZjgZ59CZJ+b+frgYlMkMsAnChJWvnsM+xIviX7bfnR3RI9P/RYPgKwFhy2/UK9whPNM3PnvrSV39jWOkXg375H/hSBPb2ume8IiHhm9C2UScRMXsRbBJ/4MwBQy9vzX7a39PwuXuTjvC9CQ3ayhK6xNUfySh8vRmqeGSCowWmkKyMGcFA8Y2DRi7sldnggPtJJzyvaEwygs/Es3pa1sryRH7G5oBiJdPE+phERmov2MdTfzgldY308+5b++tX2Q5+5zz6Wj/S1fbS8Q4eab51nfqsPGphchh88/9Xja+J3tM/Qq9aJyYgKmEhPdAiCeGtdUGzU5B2sZA84dJvdSx4O9TCJ9/HQKP6xmz2RLTIYzItZmfGoTSR38wPZIIrNDNdl4rfI4GP5GSzBfIWNz+CV0sYOSfcDTcRdDuhKJXTnPtrE+lWPY0laBz7G034xE9t0KNAXGfp6ec8ey/dAcZRko4LN6mZlo2/LZ3PRbZ0OfiyfAXT9v3fn3iP0WL61H3u00f4UHdK3JvFH40qfMl7fNWTFCuJdyPpD9rF8pEt5r19rkiWSp1+ZLnbeDKwhwIB4sxN/+9QOWx9b5DBA4cllerNr2hZojZkOEQiJ7JMZz3wcEeuPXvUc2FxQzLGAucxJr6seZ+O25r2z03xb/sbGoB52PKPIPmVOXixHPG0fFhfsvokAZM0hhs557GkszdPGDDQXrZt3gMSoJuZY29fEZm2nzBdWsTYvZ4qIvPnNIouLvE8/rw026H5TUyKbm8Nys/ub6czGse9DsXKRvpm19vIM4+ndmfbksyK0JjaiuK33BvuYR9Eb8ba6RbbQ46OPnGrelldm33hP07C5IN7RumYOtdiaMexU9PT2K7LhzExfp9LHeyz/675O5PRpnLPKe28dETH7tomjVxId3Lnfx4SKe7uxEQiypMdlv1DPBjX05V/ZBMoCGXtEy965z4Bippsdi+yk+3uPJtqEZudSim1LHtApQFt/5j77uWv2WP7YmMjf/JsiN94Y2z56DNaO8xKTPkVFfqGB4+Rk86i25W0JJVDbj4F3NKdi4yxwZTJZwkd9LLFEmr1LGBUryH/1XRNPpzaE5Nq4ZGWWx5i9uXj7DcnXsiNQzOJKdOdej0e+ieYb7eUI1Oo5IZ2i/ebFnOhz9Uielot0QXPx1qP0R3vC6s0Irbn2rQyYRry8PWwLf5s77RwL6Se1PJug95o3y7HZOKrH6fiN2rz4kAXqHm9LmSfhpqeHi3vN2+pm5dm4Euke+QOSZ6/ZNtY3itGeb6N5srlE8/TWnOGywsfm17JfopsgVm/UhjAqwznex75YTrBxN4MRkH1sHszw9D5zz+KLt2Y1mMLaqXyhNyruka+MjYlcd93gHCIfjdZFv6Lx+5UOivuriNhmKGQ3jA1cUZCzm0oH6OjxF7R5C5U7tDZwsi+DywDImsSUAdoWXNokYvlYYmAkAnsFaOufwkPFAppnKe71HfjC68gRkbvuGi5ERPAdf83be8rDC8o1j7mXL/MqNvDWLGuLqDBoo28twGF6Ip4IqGcPHNjeEMkdTqEYEoE1b05FLgJfEbG4xHRivEvMYn3Q4YMFX5nvJsgCDhSbGdm4a6+xgsTzGW+fljhR+235iGfRCY3TbbU+7cUAbWO75oXso92MN4txrDCwfTVpveyBeHn1HsuPbO/NJbvfkFytm5ZnDy88nRihNh0r0Fy82FzmOT3dPHmC5lKjE4ojqL+XFxkfL1bp/2tyUOnLHlNH4y15ezIT/2r6aJ7Rxx51/NV/HkbN2M7DOeWGDIuDjLxcZOVnxtn8HWELZF9vnCcXxSWdi/SaoTv3lrw56HGR/3l9MjdormQ6KO73MbG7yCI8aOjXMsZuXjTu7FmR1dVhcMrGRUFNk/dlJ+hRYHvqp3myTW/t4gVqD8y2/VIh9AhnsX2x3fw8Dub2p/DYUxaayrrYz9yXwt2CET2uJDR0sKL7ZBK/Dv6aJwv4xT6ouLd6aDt5wbvYInosX/O29kUgPAtikDz9qvWMgAoC/TrJsnVlcq1vRmCIkdfGCqgsT+ajkR+i/+14pOfUFI8hnp0if/Dmh+bpjWc+Ygk9VYXaNJ9S3LOfwtPjEbEYYONKBpxanrYPi/ssF6H1jNYM2b6M8+zjraeOdbpYEeG/qoLm68VktgbZgsvKR7kv+1g+y8dajtY14sk+c6//n5oa/FgJ0mkUfTPj9NyYXC+/1fg90pN9B5PVyetTrul1ifK/5Wcxo9bN5i4PT9o5srmgPI5uzFjeVl50sMwOT9h6WhvY/RvZV2T4zj3a88zmHnaK1lVjx0Lf/u19Xcp4+3FOK8P6tBd3I1yn9UY2sAc0+4kOivt9TMipvcfyWRKx4xDPj3yk/760/+EfNp+LQyfELMnZZCfi/+Qau9utXzP2QYGzXGMFk52vSPyYuhccvcfNdnZEbr0VJ379WH7NZ+5LULOfk9RflMUe7co8aeD5H5onexqgkJ7bxETusfzSpl9tW2SvaC4RELSk5TH7Mr31OO8xWDvOHnh5T7xEd+5LfzSnNsTWxyskyjXtMwzEMHmWMvtFpJGJbIjkekAFgY+MH3n6aztkgBnKCYW8w1z0kR49J28uXpt9GoDZjuULdlDB9qKO+2guaL9Y3e0THdqe6KBCt3n2RXusyIueVPF8JLMn2F6MgLK9c8rG2fEeRXEbEXuqpMxF97Ft7KkApC/bU4UuXMD6Ivtm5Nn++j3jyd5nc5h9zcwl8hVWYCLdCs/i9zVPwzB5uo095aHb7PeS2P1tb8xEcVe3IUK5AY1D46NDLRRHvX2K5CF/QAfFH/94X6ciF32hnpVhD/xZvEc+hl7RfLVOhw7JvqODL9TbxxTdRbZkN5FN3Dbgap7T0/33hX7u55pXVIgUeZaP/b+MR3rboKzBjx6n29AcrE622M2AxKKf/Yk2LdsDMd6JtL5ThvS2d+5R8EYBHwF0+7gtA/3eI7keUPHuaqJTbqtvSaCTk/jOfRvQ1OnEd8PQePvlichOWTDNiOlt95RNrgjE6PEeKPXuvnnjLIBg4MKSlst4o71TfmO92238wRJae13EIb29GMkAh+XtFct6PNLXxkHWxiiycwGn9lp0l8fmgraP5Vveen7Fp7e28B1FFMtr+2h5pd0D/zoueHvK6qB9mhXw2X2q9dV2snf3kU8y4GuLFKRTpvjQ/dCTdFYuakPzzvi5V5BkPjLFvhTW6l0I5dVo3OrqoL6ZA0FLXpvVrcb/UaxCGCwTq1CcQPZCa4b2EuKjfYzFB+8wDfkauhmC+uunCPS1aF213p4Ns7gD2d7Ks3fuI1tk9ryX/8s49nEhO37Ux/IzukR9Cp+yhuwpsyuZDu7c72NiQY612T6Wl/c41NTU4HvNo+axfLQhozv39jpKFJEMG7D1prdFpwfISt/yjZ8ooVjSc0FJa2ysCYi2uC+80U/hWbBl7zyV9USP5es792y+3mfuvQRhdbHzjABZafM+c19TbGhbsMRUZHj6Wrm28KkFdHa+TF89NwsiELjSdz8sb+0rb3yjyPOfj++WeODJysuQF3s0ALS0uZl7BB5Rpg3Z5z/9J+5rDFx6OiEw7Y3zwIy95o1HMQvNl330JPNYfgaY2bHliZwS61istXkss5fQq+Wt5emY7Pk4OswtMTl6rB/t0fI/k6t1Yo9VM3+o8TFmT3Zd5xsrLyOXURbg637eQYPOYdZ/swUX8t9Mjs/yLrogG7TJb6hPsQHTCa2dtXk27qJxUX4rfWys8gr4SCcv/nkY1cv/7HH+oov3pE1G36xOhfSdcSvLy101a4d0ZzfxSlvho79Dy8u1uo+lKH/bV72ntNyyLt4h35VKB8X9PqYSWDJArvRHm1gHMnYHXt+5t+06idQAhrLhUAEvwj+f2e2KPOtZ+FFK/YqSnrUBK/pYwCzz/K3fGmyzvJFcdPe4yN/e5rbf2WkOV3Z2OJgsa6jb9B0gbadS3HuJVN858pKBbYs+3mHl2eRRxuvi3q6BJdTGknV2vN1LtlgeH2/0QyBTz9O702XJrh27e4GSuk6WUXHf64lcc43IqVPDCZgdvqC5MHBqiZ3Se6D0W76lX9xbnaz/oRjAAEoElKen44It+uxmRn6G7LhSbETytBw7F7bfrFxdvNo2HTstRft0fLxZV/srLyieoTWPHstntmDrUmJydGfOzt/eXWcAloFp75CTHdDZPYjWM4qDdm7l/0yxoWMd6+OR1RfpYnnqORQZXozT/dhj+VGeYDbwyMNeaC5Z3l6u9fRlbWi8ftVydR9rM0/vKA5rf9Jt6BF4Fvctsf3t5TXtRwiXsXyMcia7aePlPjs/pDda1/JxRS/+6vfWBhH+0LLseIahEBa389RxOzoAyPg9mq8er2P0wZ37A7qi6OGHOwOBNwrmDGSWQOR9Jrz85AXb2N7JpZVfeJYN/p73YL2ZLt1u//PpKJChxKDH61ebZKLkgT4KYeeHCD1upnl6j+WXx5J3dobnp4G2nVOv1y/krY9ExWf0WH4NiNY8bdFh++jH8ksSQ4AMAXxE2teiR8o0RU90FPvoXyMofTWojBITIptIUXJF+pZXBp6Q7bWv6HlGdq0hLxEzW5TfWPcAM+KZ0Zv5qAV0Np7afaPt9HM/lwO8Wkc750zc9vqjtWM66fip52fjkfdYfkR2XQrY2toa/JiR1jMqRBjgRfJKu+cr+hCjHI6WNr1f7LzsHX/05JTdg3Yu6KDCglK2z2+7bZinPXDQ+uq5Z4ojBLSjX69h80R9snGbkf1oGSL7SzE1OmX28uws7s94R9jCI7Yuto/1o8zTWKPkeI8n2nfoms1F0ZOgGbkov9XOU+vCDtrYr0TpcfYg0/6PYpTnfwUX6diB9iSK7Qw7eTm69I0wFKsBLM9eb7i4120spuv+yMdQnxIDvCfQrlQ6KO73OdlCkyWYTMBGd+51kCvv9WvRwQIVb/OVPuXObPlsrW7TIBNt/sy3uXt2Ka/2NDMqJKKPHyCwFiWtzGP57M49S6AWJGpCj5szcKnnxGyJbGETapm7fZxVky1MSwIoOnnkBW4NdBBpve1as7u45c59ecJA21Bf8/TO7kWtGysIyjXvAMD2sXP3nvrR40dpY4WB7TM52dzh9dbO+h8CkEg3BqbR0ywM9KHxWVCsr0XjbN+if3/te1W8Ox2RV71K5Ad/EB9gbWw0RUu3Gxf3bfxB37lHfqznZ3nUrLUFzugJmxJbvTVDc7Ex0rvzzz5GU/rrj1wV8h7L73ZF/o//Q+SZzxzUTe8TDcKtH4xyB+ujHxX5F/9ieC7lvbcnPMrsJesr1uZ/7a/1hsaVGB0VPp5Onl88/emD11H8ZAVUeWXxz9PJElqL0j/6KBpbH9tmMUJmHMIknl31XvKeWosKPtvW9rF8i928XM1wHVuDjA0LH81TBBf3VifLB8nTN4nsOK1LeUX1QSFtn1tuieeJinu2Ty2hfKHnr/UtWKzbFXnRi4Z5Xcl0UNzvc+r1mkdsy//R54O8ABg9hv3VX803NjrBRJuu/F+AjYjIU5+KN7FXBFo9URJBgLds+tKfFQ52nqWPPehAwQkBhzLfqLhHAHR7u1/cb2w0jw7b+dk7T+WafQRf68L8gd0BQvbV80b2tfOMPk/KnroQGZ6DHodetQ29R8oiUKDnVMajO/eFNKj0AKSVp+V6gAHdmdPJMnqkl4Eub+1sYRABdk2ooGDFWaGJCf5YPtKbtelrbJzeQ9oG2tfKHyr8vZij5+qBtgjEeEWGZwvv0WV0ELS62vwk5148lo/01XfuWZ7yeHqP5SM+EbgtH61hIBPx1LHc+ozuk7E9y2/s8Dp6NNYeTqE+9ne7rf+zGPnQQyKf+Qxui2JdbVvGj1A8K/Pq9fw797ovkovaCnmH3h7uiPY5I6/Q82xvizGPD5LHdLHybBzU1+z/5T2Lnxkc2iYXeJgkyrVaN03eYQTbiygPZ+dZCD2WH+U3FCvLR23ROOQjUewp406cEPlrf21wLpqPxSv6FdnA81HPTr1e/4nXnR2Rf/gPcb8rlQ6+LX8f0zOe0ZNutyPPe17jxBb8aPI2gw6A7Oe30N153afmsfzy/86OyLXX8uIaPTFQNjv7PD5KMDa42i+oswHIA9HaPujkkyVGDQg16bst3rfl6zv3FpwVPggI2iK008ndncw+ls8KGUtlPQuYtndU0Bw0zwLWyncTMJ2QXO2/TDcry/q0tZO2q51LVNyzYlfb1e5F22aL+8KTPZHR6w33Kdfto5veGur/I1BqxzFAZ3mL9B/LZ4eGrBDJgEskz+qEbGHjoLYvGs/IFlWeTkx/xj+jE5pn+b8U9489NhgzvLhor3m2K1+oh55KQUWA/j9r1+y66JiM4qcGtVZO9JQHyplo/5T9p3VnxX3RxX4sy4Jv1ofppOXZpxFQbK1ZF8/2ug+zDyP0k4q2v/eZ+yhfRNeYvl4O069IJ0SefdFcNB+Nc7y9yzAUWxf2qL/l7dkStWXv3FudrC10/+jAyu4NmxejQzjvIF2P136IbobpOOjZTsT/Qj3NS7dZX3nhC/P+r+eU+UI9y8vy7PXwz+XZeXq66Fc2z263X9xr3Lxf6ODO/T4mC4xQsNAbjiXU0k8DHd0PgQKRJkA84xm4LQNstreb00NWCLHH8tEdJx0Ykbzyah9b9Oxq9dUBX2Q40Hm2bvtYvkg/SG1vDwc+C+w06ceSpqb64zNJix2e6HmioGwfgdP6FrAVJUsGmvTP42ldrL1RkVB0YoTWnH00QWT4sXzb5n0elPHU19BdF32X0Cvuvbvduk+5xvY3061tW5TI9bVS3KP5FvIAM+trY6R+jQq2Mt67q8QoAmC149E4FvNQ0csKvbe9rX/n3j6Wb3Vo4w/lsfzo2/IZTy/GIlvYQwQ7HgFtywOtnY5j3pNIUdGL9p3lreVGMVmPQ/le/6xqIVTUs/jiUU2xICJy440iDzyAx3hFmQh/QkH/z4p7/Yra2FxsG8tTmT3pXYsK+Yz+1rfQvskeHBT99PgoNqI+aL+W69p2Wm8UI9k+8/CDjduFt40LNk/YdWXzZfgXFZX2Bo0d5/3CgUj8hXqFWH3g4bkozzAMhQ44LG9N3mfu9ThGHqbQ4/Vn7j38dyXSwZ37fUw6AKIAJoI3OwtSNXfuRUSe97zmMT1UiLBNq3Upd6RZce/9HJtXwLCTZT0XNE/7qseXQwE9DgHUMjdL9pF0q+/2dv/pi0L6znu5c4+ST+mLbKGLe/0Fdaz4LNfQ5xW1XDTPTCK0X2CliT3KVqjc9SsfS8hQ0SnzO/f6NQIqurgvhZDWc3WVA0/9KxHsFxK8gyD2BIieS3QnkoEYFh/aFJ+2jfkaaiufuY8OKth61si1tsjejUXFYAQSI31Z8YreZ9bOK4DYgY4u7otfoTl44JL5kX0s3wNcNtawmO6R9/SNjgveFy5l7tyXg1Sd+7TfvuY1wzy9vZzJb3b+6ODU5n+0921Rj2Lzzo7IP/gHIp/61LB9sr6t+4qIvOIVzRcDPvhgXz/L014vZG9CoFiHnqpCOrG5lKKTEYrNUfxkBVANodijeer9ye60evLRvtNttg+Sb8dlYizCdZYHwpUsTmieqI+WZ3O9/p8d3nn7xbbZuMB8BR02WttHn7lHvO26eIcgDBd6GMqup7Wh1XdjY/BajS6oD7KTvrl1cOf+gK4oKoEiAnlRmwgv7rUce6LIApgI3nT2/c7O4J37Qjbwan6s8EFyUPIqQYptdAYgLfgpNosCkZ6L9zv36LH8YnP9mXs0z9IXJZgyvtz17nTw3Uk230xBYXXyeEY/PaUPAAo/Dda2tnJgDYHaNmvOwB76Qr1C7LH80scW90gXuxd1UvburHkg097d1/2ju9VsLhlC4yx4s310cZ8FzKOCAgTyIlsgUOnFJQbMI6CP9hnibduY/yKQ1+k0ReixY31gpItetu/sNRYXCs+tLX4I7YE1C9A9uXqfMhuUQ1UGhtk8dQ5hQB35Q5GN9rKel977rGiwpPMiig+2j80zOjZbEF/me911/e/3sTaP/DabJ/S4Elv14YvNp3ov2ViJfrXEw0J2Ttm5IFsgeeW9HpPBSSw/RW0ePovmhGKIbvPsg+btzUW3oWLb0zOjU2Z/6r2h+7CDtl6Pt3l7UcS/O69v6LA1s3fu7dozH/MwX9Fbv9o2dBMPyY3yWq8n8s539ufA5JUYkHn6hsWX/Xznfp9NZ5h+/dd/XV7xilfI8ePHZX5+Xp7znOfIv/k3/0a6mefIrnDSyQ4lEQZ4RIY3pg2qtk2/6s3NDgWix+pE4jv3BXyhYGXv6ntJwOprf8YI2dXytAFX87Y2R+QBq04HP5avC2Fb3Nu1RUFSA3T9WL4O9N4df3bXL5O4UVvmsXxtC2s7/Vi+1isDyFgSYePtWtk52c/ca9LFPQpDrLhHoEDLj0CInidbAzsXBEojoG7/R+812QM6ppMm7849im0eOEXgGQEQuycQIMwegmTnacchiuIomsv8/CBvxNPub50nim+2+bZ8D0BGj+VbPh5PVIDYPlqOBcNlntHTIejOPftCPasTO8TwgLb3PQC28EHyNJC1eRG1lfytCwv0KPHUVH9PIjshf9Af7xgfx3uPfend9HQjr8jVNPixsc4uL81bF/fIVyx5fVB/hpOi+MkKEUQoz1l8wmKOPrTxvqemNo55+ztqs3z0HLQfspsgKAboa9k70jqfZuYb7UV2YMZwDluXsj/1dwvZPayffGLEYiXCql4etTZgBbKH9709gXTTOpUYgHh6vMt4Xdwf3Lm/gugnf/In5dWvfrXMzMzIe9/7XvnoRz8qr3jFK+Qtb3mLvPa1r5Vti7r3EZViqdy5L9e8O13l1QtgNV+opzc0OxSw8guVIg7dudc8t7YaoK8JFT5Wrpdg7BfqIf3se/TY4szMoL5ahv2fPW5W9GXFvX0sX+uHgJ2Wq+/c68DmgVI9LvpCPTsPz//QiTRK4MUvJiaG2yYn+6fW1r5eYWDvAiOyfIp+zBb2sXxNGlSiEFSKBXaaHCVSO04XLuxwQMu1fqjXwztJb3teyvap9V/9v/22fOYrmo/dW5FOdt9aIIfujKDinsWaQt48kU7eeG8Omt+JEyL/7/87rK/+nz0BVWKkfizfgkSkv72GYod+LB8VxIw88O0RunOveXoHvV4xhu6+MRDPwD/b55nvJUEUFUdabztO62KfJig6TU01j9OW2FzaEW4opGMkKlZKvLfU6/WLeg3wdT5lT5VoYM+wRZGB5KIi0NrLjmdFZFQ86vEesfzGYojN496vGXk5HsU4NM+oj8WfEQ5lcSkaZ+3i3UHXOS+64WDxStkL3t159hRCuYYwn3fAVmhrq2n/V/9qcC7aFp7tsmtnx6MaANkp4tnpiNx7L+5j6xl0sMd4WxuUG0LlC/UO7txfIfR7v/d78oM/+INy5513yrve9S6577775Pbbb5ef/MmflDe/+c3y7ne/W37yJ3/yK63mZSOdUG1R5QVxFhzZHXgLCmzARwGMybHv9R1lRKW4t3c3C0hEwdzOV78WnbxHdFhis/Z5+cv7beiLe7ROZTwCknq8F+itnWwBzMAlAjj6ZJgBHHbXo7xHPmaTLLKhB1yLTltbw3fuEVjLFAW9XvO73auruTXX18pazcyIrK0NyvMeyy+FKbqrL9K3awS0y/cklD2lQZu9Q2fvjkd3IvU4vR5tCqioT1TwofHlC/W8wkv7gY1xjDcC752OyHd/NwZizMctwGF+z/S1+mV8mRUpVjfdLwv27FzQF+ppnvo106ZziP6de8/XNGBjc0E20HPRhai1T5mnF8/YXNAX6kWFkOWt+Vg/0o/l25yADra1/9m8aHlHB4royaCSg9bXh/MxOowtVIoUe8Cs7ZG9c6/tUPTUNrDjvbxcs08t2W8rL9fKd+awtUY8MzjJXkP+iMge7nv7tYa8OaFYg9pQUeYV2V6szKynty7otfRB+VGk8U1W3Ntx7Av10LroNvYFy8X/nvvcYRvbdSn2zcaj8t7yLLqxGyR6zawN0bpo/FHa7MGBjgGaMvjPYsaDO/dXEP3v//v/LiIib3nLW2TS3Nr9gR/4ARER+Rf/4l/I2tral1u1LwvpApcFJwQA9HhbfLIkoIMVC8bsUMADgvYz97aPfYSz8MkmAXutzMV+kZmXOLV9LPgpttdFmA1yIk1bufNugVnp7925R5+5t/1R4C0+srk5+PRDp9MHTSwhooRW2rLBFT3KVnwM8S5PaSAg2OsNf1s+AgpWh16vX5zXFvfFR1hx7z2Wv77Of2dZP5Zvddraah6p3thoXtfW+nvOrnUBlMXWpc0DOnq+du5snB0v4hdlluzBQxnP4kOn03/aAvmR1RvJj0Cm/RJEVBzZYvD/+r+a3/qOgDqLQUwn2/+Xf3m4DytkPHlabumr52X3YHnVj4yW2IxipGdftmb2C/V02yOPiHzxi8Pj7HrYdUE69XrN3aHnP98H7yU2evtFP7GibYeegNI2sHHU6suesPEeyy/jGMD27lJq3iwf20ND3VYKGguSUe6ybXa/FZ1KTkBzmZ5u4t/MzCDA1wVQ0VPPb3a2X3ixj7KhGDcz08Rtzc+uW5kTmqf2I7YXLe/yam3njUf9EJbRh8DM9kxfdrMItXk8i/3KeH0Tw9svCMswfa0NdR+kr/5D8V7b0Y4vNDXVxxRIJxYXonXRT2t6d+6f+9zmu1GKrv/5P88N2QIV2dY+zIaWdMxDZO2rr9l+IiJ33435aHki/p17K8P6U7m5tbMj8o/+kcjSki/zSqN9WdyfOXNGfvu3f1tERF5ebqEqevrTny433HCDLC4uynve854vs3ZfHtIFtU6u0Z0u21Y24/y8yMoKD6oaOOg27xFgHQhQINHf4s4KTH0XV29oe+enJvno01QW5OwTAxrw2kCm57Cx0bzXVIp7bRM9F+8RrWLf8niR5qm/XR8lkZI81tcHi/uxMQ5qtX0szzJf9oVxvV4fIFnwpW3IAGixE3ssv3wZlyYv4Rd5urhnAMkm4rIum5sihw/3v/2+kD5d39jo27fYZ32dP5VS9hA6xNjcbJL20tLgntRUbFj2hi3uvUcMyyvbL2icHe+RB0C9/raPvnOP7oyUVy/W6f4WDOgDr04H28DaaX1d5Dd+Iw9qI9I8skUHGs8Ajgg/7NExXQMy3aYfy0eE2ry56z2s42jp/+/+XXOAovUoeYIV4Ehueb3pJv+JtrExkc99ru6guPCPvlCv2Ef7kfabaBw7FEBPyek2+1i+9l8PoNu4jx4znpzsH1pqKnEI7XP0WH6hohM6AN3cFDl0SGR5uf/xN902O9uPsTZnHjokcv58v4892Nbyy6vGQLoNjbPfVl7miYr7KC6w3KXlomI54q3X07tpw/ZUto0dQLHx5aaC9m2bizwfjWzoPXrPMGZ0swjtxfIUi5drLTa2ez/6EmV2577cAGA5AWHikvPKTSJ0uGptqUn7E/JV5AflFfE8fFjkDW/wcbrG1myeEc7XN1gee2yYz5VM+7K4/8hHPiLdblcmJyfllltugX3uuOMOERH58Ic//OVU7ctGGnytrzcJEN011v/b4Kg3/+HDIhcu4E3P7s6jAKbH/dZvDepsA6D+zD0ifede80AHDUgOswX6JlILbtfXG3BgbYDu3JdHh0oAnZ4e1Kf8fBv7Qj72WD76zH2ZiwVLRafSfuiQyOJi06ccOGjAUa6xx27158wtIDp6VOTiRQwmjh1r/OjYsQZgocc7GXDVd+5L0aqDd/nMPStkLBWgGt25F2n8/+LFwXmOjTXjjh5tXq19ip4rK836Fn1KcW+fNCjkPZa/tdXY7uxZkYWFRm6xRfkra13sVa5pvb0CV4MnC2wikKltkCVUhNqkjIr7AuwZoNOvWZ8offSTK+Vapkgv+7yMQcWClqNf9dMItj8D0SIiR4709xuLbbagKK/ssEaD4ZI/9Dj2hXrefDUx/7N37jPrpcczXez78v/hw00c1LbQ8/zFXxR517sG19zK0XmmjC92Ka9ekaNjs/UtG7ctiGaP+yL7sCLF8kYHzCKDsRl90Wf5nHFpK3MohS2iUlh6j+XbGNnrNXIWFprYWg7Ly5jNzf6Bl24rui8sNPHz+HGRxx/v5+MyvsTN1dXBg4P5+cZX7HcKWJ2j4t4SwlyIr37v+XY0vpB+wst7JJnFVkRe8Yf62j7siUHrv9Gde6YTyi8sdmT66AM6ve/QZ+5tLEYHFd3ucAGvbVXa2J37229v/G9ubhCTFCqxvNfrH6SWmyYbG30sNDs7mC/QgaDW2cYlu7beITLyf/2dLl5+QnfuWQ60fWxxv99oXxb3Dz/8sIiInDx5UsYIYr/uuusG+iLa2NiQxcXFgT8RkW63+4T+W1/vyrlzHRkb68naWk9WVnoyNtaT5eWuiDSvvV5P1td7srnZk263JysrzbXStrbWk62tpm11tSeHD/fk0UcbPktL/Z27ttYTkZ4sLXWl02lkdbvNWN3WyG/atrcb2SIi5883yGh5uSe9Xk82Npq/Xq8ni4tdmZzsycWLjd5W306nJxcudHfnub3dk52d/nxXVxv5KytNW7fb6NDpDM5zZ6f5W17uycRET86fb3iurDTz2NpqdBIROXu2J1NTPblwoXktbZ1Oo2/Du7er7/p6w/PChWZOFy70ZHKyGVPkLi72ZGqqK2fO9GR+vivr642uZS6NDXsyPl5s2tDqanPt4sWeTE52ZWmpb7tG3+4lG8gle/fnc+JEV77whWb8l77U6LS11dipmUtPrruuK4880ozb3Gz0KTbrdArvrmxs9PVdW+vJsWNdefTRpq3MZWam0fPw4a489ljT54tfbHjv7BR9y/p0d31ne7s/38XFnoyPd2V5uVnf7e3S3sgdG2t06vWauezsyK6+vV5313bF9sVfp6a6cvFi877YS9PSUk9OnerKQw/1ZH6+WdONjWZdz5zpyaFDXblwoa9vY8OunDvXtDXr28jc3m7m0Phod0Be71JGLNc2Nwd9tdcre7Gx78xMY/uxscbGzd7oyuZm3/YTE41exX83NxtbbG0117vd3q7s5ppcGt+8P3u28cnt7WZcY+8iQy7t3UY/vVa9XjPfQqV/kaGp6FbWcmenxJ6+nJ2dnkxPNzK2thobnjnTk9nZ7q6+xfa9Xm93nsUWJTYgf9jaaq6XWNftNusyMdHnXexRbFd4l3FbWz359m/vyc03azv1du1SrvV16u+ZMs9Tp7ryV3/V9Cm+ItLE2Ca2N6/WXw4f7sn5801b4/faBr1Lv+Pbl1t06nbtuvbtqOd5+nRPjh3T9m14jY317VvWrNhXr7mmzc1mT5w505fb7fZ1Knu/z1vHs4a63cGYU3xF61b2S7Gh3hvFN3d2enL8eFe+9KVmXKNHXyeRxtZjY/14qvUt89MxufH5YRvqNW9iYr+t2WP9OKvbSm4p+ur93eyl7m6e1vIaH+/ny76+/fElDvb79duWlpqcoONKscH6el+nMs/19SYHraw0OaXk+QaPNPsVxdYmfjX6jo93B/Rt7NoF/tTkw/n5Ju6WfVpyX5MXm5g+NdWTjY0mtkxONm2zs41P33BDVz772aZPP/416/HUp3blwQd7Mjvbt/3cXFf+8i8buRcvNrG1xKPGpxrtmvw/6P+Li42eZU4ln5a59HrdSxiov3Yl/+tYVfb99vbgfO2aFz8v+bC8an0LFrpwoY+vin/bcRonldys+wziuu5AH53jS3/dtr3d17fBMn3eGxt9fQsW0viq5BPLk+lb2oq+tk3jh4JJNI4scyn6lmvldXOzGTs52WC9gjFKDi75qY9Dm9f19T4mWVrqY7CCbTUeHBvrt+n1WVrqyvh4s55zc03uFhk8HDt7tidzcw2m6HQanUpsOneu2QvnzjV4bW2tP8/HHuvJwkJPHn+8ycPaV86c6cnCQh+XlRpA5/8LFxrdVlf7ceP8+YZXmcO5c318qmuWYi/tY6VWmZpq+Oh4ousYVOvotvHxRtbcXE++9mu/8rVb9i9D5GtOrmwqRfhsubUKaG6u+QzKRX07ztBP/MRPyI/92I8NXT9z5oyso2deniD0p386Jv/u303Lq161KH/6p1Ny/fU9uemmHfnwhyflFa9Yl/e+d0Ze+tIN+f3fn5IjR7py44078tGPTu22vexlG/K7vzsld9zRlcOHu/KpT03Ia1+7Lr/8y7PyLd+yLr/zO9Ny441T8rVfuyEXL3bkZS/blPe/f1q+5mvW5f3vn5bnPndbFhfH5EtfGpOXvnRTfvM3m7b3vW9GHnhgSxYXO/KFL4zLv//3TZvIrPR6G/LAAxvyiU9MyM6OyLOfvSX/439M7+r04hdvyIc+NCXz8z152tO25Y/+aFDf3/u9Kbnttq6cONGVT35yQl73unV517tm5dWv3pQ//MMpueuu7Uttk/LKV27Iu989I9/wDWvyxS/OyHOesy0TEyKf//y4fOd3bsgv//Lsrr5PeUpXJiZ68thj4/LkJ0/JX/zFpnzXd63If/yPc/KSl2zKgw9OyJkzY3L//ZvygQ9My+tfvybvetesvOhFW/IXf9HM5YEHNuV3fqc/l9e/fk0efXRaTp1qgvDHPz4hd921Jn/0R3Ny772r8pnPzMott2zLzo7Igw/2bf8N37AmX/rSjIg0vnv06Jq88pWr8nM/Ny+vetWqfOxjs/KKV2xJtyvyqU9NyO23b8gf//GsiMzKPfdsyf33r8rx4+OystKRe+/dkE9+ck5e/OJV+YVfmJPXvGZdRCZlYkLkzju35H3vm5av+qoV+bM/m5c77liXL31pWo4f78oNN+zIBz4wJXfeuSYf/vCcPO1pq/KkJ83KU57SZJAHH5yQO+9ckd/+7QW59dZV+eM/npW7796ShYWefPCDU3L77auysDAvt922Ih/84Jw861lbcvFiRz7/+XF51rM25dd/fUa+9mtX5Y/+aFae97xNeeSRcXnwwVl5+OEJ2dlZl3vuWZWPfnRWnvOcDbnmmnG5cGFM7r13Sx57bFqe8pQVOXVqXu68c13Onp2Sqak1ueOOCfm935uWZzxjTf7wD+fknnsm5PrrN+WGG3bk2LGe/OEfTsrTnrYiR48uyH33rcmv/uqMvO51Hdnc7MhDD43L61+/Lg8/PCHPfvay/MEfzMkLX7gljzwyLl/4wri8/OWr8tnPzst11y3JtdcuyPOfvymPPjouGxsdecpTNuTmm2fl5puX5Y47FuTuu9dlfHxCzp4dk1tv3ZA775yVpz51Ra65ZkFEmjj1+tcvy8///Jxcc82mvPGNTcL66q/euOT/mzIz05MPf3hKrrtuWW666ZDcdNOK3HnnjDz96duysdGRv/iLCTl2bFXuuWdBjh1blnvvnZP779+SzU2Rj3xkSu67b0JOntyRI0eW5L77FuTeezfkuuvG5Nd+7Yi87nUXZGpqRv7bf5uVa69dkzvuWJe1tUl57LFxueeeNfnzP5+V48eX5d57F+SWW9bkkUem5cyZKbnzzm35sz/ryOtetyZf+MKM3HlnRyYne3LvvVvS63XkoYdm5S/+YlKuvXZdnvWscbnttk35wz+ck/Pnx+Tw4a5MTIicOrUhr3xlR26+eUee9awtuXBhTL7whXE5eXJVTp1akJe+dEzuuWdLvv/7G9tfuDAmN920LgsL8/KsZ63Kn/3ZrNx117rs7ExKr9f472c+MyM33rgiT3rSvNx667qsrk5IpyNy0007cvp03x/uv39cbr99W+66a1vGx3vysY9Nyo03rsidd87LjTeuyk03zcpdd23L0aNdWVqaliNHVuTuuxfk+utX5Prr5+T5z9+U5eWOfOYzE/I3/saqrK8vyJEjy3L//XPy7GdvytLSmHzmM+Ny3XXrcs8983LjjcvypCfNy113bciRI+Ny7lxHbr55U06dmpObb16Wl7xkTm6/fUO2tyfk6NEJOX16TDqdnlx//Yq8+tVzcsstazI7e0zW1sbkuc+9IDMzR+Vv/s3z8l//64xcf/2q3HHHzG6M/NKXpuSmm87J3XdPy5OfvCo33jgnz33u5qW7mZNy/HjfV57znDm5774tWVvryKc/3df3yJEluf32BXnRizbk05+ekPX1jtx004bcc0/jD8961oI8/enr0uk0cfDuu7fk85+fkRe8YFxOndqRt7xlR376p5u98dSnbkuvJ/KsZy3LPfcsyI03rsmdd07LyZM7ct11XXn00Wk5enRZ7rzzkDz5ySvyVV81Lddc05XtbZFPfnJC/tE/2pFf+ZVZufHGRbnxxhm59dZt2d7uyF/+5bicOrUm99wzL4cOLclNNy3IffdtyexsT7a3J2V+fkKuvbYrN9zQrNn992/K44+PyfJyR267bUNe8II56XSW5Ou//pDceuu6LC9Pyvh4T57+9G257bbD8iM/siT//b/PyM03r8pLXjIh3W5HbrppR+6/f0ZWVsZEpCs/+qNb8m//7bzcf/+K3HDDjqysNL5yzz0Lu3Kf//xNWVwck098YkKuv35V7r678YejR+flq75qQxYXx+RznxuXJz95XZ75zDm56aYVufbaebn77sZXzp9vfOXee/u2v/32dXn88SlZWOjJrbduybOeNSM33bQinc6C3Hnnuly4MCVPfvKOPPWp2/LsZ8/IsWPL8sxnLsj116/K9dfPyvXX78hTnrIjZ85My403Nvpef/2KnDzZ+MraWkceemhCbrppTU6ebPS97rp5ue++Tbn++jE5fXpMnvrUDTl5ck6OH1+Se+9dkGc+c0NOnRqTM2fG5aabNuTuu2fl7rub/Pa8543L0562LZ///IT8wR9MyTOfuSY339zEwac9bVVuvbXJi096Uld+8zendvepyKzcd9+aPPLIjLzxjcvy538+IadOLctttzW+csstM/LUp+5Ir9fkvhtuWJPjx+fl5puXZHJySl75ynXpdjvyqU9Nys03r8lTnzovt9yyLLfdNifPec6m3HTTmDz66Ljcfvum/Nmfzcizn70sH/jAgjzzmeuysDAhKysdecYzNuVP/mRWnvOcNfn4x+fka792VaampmRlpSM33LAjn//8rPzRH03JvfduyupqR26/fVs++9kmV58/vyZf//WNDZ72tFW57rpZedazmlz9sY9Nyl13rcof/MG83H33ivzRH83Ji1+8KefPj8lDD43L7bevy4c+NCd/5+/syLvfPSMvetGKXLzYkUceGZd7721y5qtetSof/vCs3H//pnz8400cvPfeLfmt3+pjkle+cl2OHWvi51P///buPKzKMuHj+O8cRRZZctyANFOMSHw1IKzRcktRLF8ho6a5tLLyzRZznC7M5Up0CrVJxmmZuiqXmmmzwVAzTEGzjApNXCYcFHHLWFxAQFnlnPcPXpkoNXjznNNznu/nvw7P3fU7yM39/DjPcz89G/T11x6Ki6vRqlXeGjWq8bwuKKhBHTvatGuXhwYPbjzvGDeu8TzphhvOqU2bxu9vZGSNVq/2Vlxc45r529+e09mzFh0+3EbXXFOt7GwfRUVVa/VqL918c33T78j/+q9apad7NWW65ZZaFRa20cmTVkVF1WvTpv/kHTmyRnV17eTtbdc115xTVpan4uOrlZbmrdtuq9GJE576zW+kmhpPHT9eq3HjGjP9939Xq6jIS9de2yAvL7tyc5vn/egjL9100znV1Vl08GAbRUTUaO1ab8XHV2vNGi/dcku9Tp60qri4jfr3r9W6dY1509K8NHBgnY4fb6PiYqsiIuqazuc+/NBbw4fXymLxkIeHXRER9Vq3zkvR0Y1fGzOmRqdOeapjR5uCgxvPxX98XhcW1qCrrmrQZ5+10/DhjXnHjav+v//POdls0oEDje/lh3lvvrlep05ZlZXVVnfdVa+dOz0UE9N4Lu7r66Xbb6/W+++3V/v2Nh05UvuD733j76PSUqv69avXli3/+d7femvjOXV4eGM/OP+zkpbmrdtvr9GGDZ4KDv7Pz8qwYdX6+999FBtbp+3bPXTDDedktUp79zaeg+TmSuPHN34PBw9uXOOLiqyKjq7RO+/4aMSIGn3xhafGjq1TQUFbFRVduDuUlzf+vh84sPGcOj6+8WdM8pGfn01BQTWKjKz7SXfYtq2dfHx+2h2GDq3VF1+00//8j0319Wd0/LjTatr/W2ULNwew2M//+d+NLFiwQHPmzFFISIgOHDhwwWOmTJmi1157TTExMdqwYcMFj6mtrVVtbW3Tf1dUVKh79+4qKyuTv7+/Q7JfDjabTSdOnLjklQuAO2MOwOyYAzA75gDMjjngXioqKtShQweVl5dfsoe65Sf359/wpXbCr6qqkiQFBARc9BhPT095/vgGaUlWq/VXP0ksFoshcgKOwhyA2TEHYHbMAZgdc8B9tPTf0C3/pc9vonfixImL3p9QVFTU7FgAAAAAAIzKLct9VFSUrFar6uvrL7phXl5eniQpOjramdEAAAAAALjs3LLcd+nSRUOGDJEkbdq06Sdf37dvn44dOyY/Pz+NHj3a2fEAAAAAALis3LLcS1JSUpIk6eWXX9a5Hz0oNSUlRZKUmJjYtGs+AAAAAABG5bblfsiQIUpOTlZubq7i4+OVk5Oj/fv3a+bMmXrjjTc0ZswYzZo1y9UxAQAAAAD4xdy23EvS7NmzlZ6erurqag0fPlwRERHasGGDXnjhBa1du1Zt27rlwwIAAAAAACbj9u02NjZWsbGxro4BAAAAAIDDuPUn9wAAAAAAmAHlHgAAAAAAg6PcAwAAAABgcJR7AAAAAAAMjnIPAAAAAIDBUe4BAAAAADA4yj0AAAAAAAZHuQcAAAAAwOAo9wAAAAAAGBzlHgAAAAAAg2vr6gBGYrfbJUkVFRUuTnJpNptNlZWV8vLyktXK329gPswBmB1zAGbHHIDZMQfcy/n+eb6PXgzlvhUqKyslSd27d3dxEgAAAACAmVRWViogIOCiX7fYf67+o4nNZlNhYaH8/PxksVhcHeeiKioq1L17d3333Xfy9/d3dRzA6ZgDMDvmAMyOOQCzYw64F7vdrsrKSgUHB1/ySgw+uW8Fq9Wqbt26uTpGi/n7+zOZYWrMAZgdcwBmxxyA2TEH3MelPrE/jxswAAAAAAAwOMo9AAAAAAAGR7l3Q56enkpKSpKnp6erowAuwRyA2TEHYHbMAZgdc8Cc2FAPAAAAAACD45N7AAAAAAAMjnIPAAAAAIDBUe4BAAAAADA4yj0AAAAAAAZHuQcAAAAAwOAo9wAAAAAAGBzlHgAAAAAAg2vr6gD4ZWpra7V+/Xpt375dBQUFKi8vlyQFBAQoJCRE0dHRGj16tLy8vFycFADgCHa7XQcOHLjgGtC7d29ZLBYXJwQAAM5AuTcom82m5557Tn/+859VUVEhqfEE74fOn9D5+flpxowZmjlzpqxWLtaA+6HcwIwOHz6shQsXatWqVSorK7vgMVdccYXGjx+vWbNmqWfPnk5OCDgP6wDM7tSpU8rJybngHIiMjFTHjh1dnBDOYLH/uBHiV89utys+Pl5r166VJHXr1k1hYWEKCgqSj4+PJKmqqkpFRUXKy8vTsWPHZLFYdNttt2nNmjUscHAblBuY1fvvv68HHnhANTU1zV739PSU1HhV149fX7ZsmX7/+987LSPgDKwDMLsvv/xS8+fP16effqqGhoYLHmO1WjVs2DAlJSVp0KBBTk4IZ6LcG9Df/vY3TZ06VZMnT9aTTz6p0NDQSx6/f/9+LV68WEuXLtVLL72kxx57zElJAceh3MCstm3bpkGDBqljx4564IEHNGLECIWFhSkwMLDp6iybzabi4mLl5eUpIyNDy5cvV2lpqbKysjRgwAAXvwPg8mAdgNk9//zzmjlzZtPVu+3atVPXrl2bfdhXUlKiuro6SY1X9S5YsEBPPfWUyzLDsSj3BhQVFaWYmBgtXLiwVeNmzpypjIwM7dixw0HJAOeg3MDM4uPjVVJSovXr1ysgIKBFY06fPq3Y2Fh17dpVq1evdmxAwAlYB2B2GzZsUGxsrPr06aMnnnhCI0aMUK9evS547MGDB5WRkaEXX3xReXl5Sk9P16hRo5ycGM5AuTcgX19f7dq1S717927VuPz8fEVGRqqystJByQDnoNzAzLp06aK0tLRWX1qZlZWluLg4nThxwkHJAOdhHYDZxcTEyNPTU2lpaWrbtmXbqJ07d05xcXGqq6vTxo0bHZwQrsCGegbk6empM2fOtHrcmTNn5OHh4YBEgHNlZWUpLS2txSd0UuM9l4sXL1ZcXJzjggFOcObMGQUHB7d6XHBwsM6ePeuARIDzsQ7A7Hbs2KGMjIwWF3tJatu2rebPn6+RI0c6MBlcia3TDSgqKkrz5s276KYZF2Kz2ZSUlKQbbrjBgckA56DcwMx69eqlNWvWtHpcWloam4nBbbAOwOxqa2vl7+/f6nEBAQGqr693QCL8GlDuDeiPf/yj1q5dq4iICL3xxhsqKCi46LEFBQV6/fXXdf311+vjjz/Wk08+6cSkgGNQbmBm99xzj5566ik999xzLbrNqrKyUs8995xmzZrFRmJwG6wDMLuwsDCtWLGi1eOWL1/+s5txw7i4LN+ARo8erYULF2rWrFmaMmWKJMnDw0OdO3eWt7e3JKm6ulonTpxo+suc3W5XcnIym2fALZwvN7W1tXr00Ufl5+d3yeMrKyv1yiuvaO7cuZo7d66TUgKOkZiYqDVr1mj27NmaP3++oqKimjYS++EacH4jsR07dqi2tlaRkZFKTEx0cXrg8mAdgNlNmjRJTzzxhEpLSzV9+vQWPT1ryZIlev311/Xiiy86KSWcjQ31DGzr1q2aN2+ePvvsM9lstgseY7VaNWTIECUlJWnw4MFOTgg4Rl1dnW6++Wbt2LFDnp6erSo3WVlZateunYvfAfDLnD17VtOmTdObb74pm80mi8VywePsdrusVqvuu+8+vfDCC/L19XVyUsAxWAdgdna7XePGjdO6detksVgUHBx8yTlQWFgou92uMWPG6KOPPrrougFjo9y7gZMnT+qbb75RQUGBKioqJEn+/v4KCQlRVFSUOnfu7OKEwOVHuQGko0ePatWqVcrOzr7gGjBgwACNHz9ePXr0cHFS4PJjHYDZNTQ0aOHChXr++eebbtP68Tw4X/V8fX2VmJio2bNnq02bNk7PCueg3AMwNMoNAJgb6wDMrrq6Wp988skl58Do0aPl4+Pj4qRwNMo9AAAAAAAGx4Z6AAC4gZqaGpWXl0tqfNSRl5eXixMBAABnotwDcBuUG5iJzWbTypUrtXLlSm3fvl3FxcXNvh4YGKjo6Gjddddd+t3vfierlaffwv2xDsDMamtrdejQoWZz4Oqrr2YemAiX5QMwLMoNzCovL0933nmn/v3vf+vnlnGLxaKwsDClpqbquuuuc1JCwDlYB2B2lZWVevnll7Vy5Url5ub+5AlaVqtV4eHhuuuuu/T444/L39/fRUnhDJR7AIZEuYFZFRUVqV+/fjp16pRuuukmjRgxQmFhYQoKCmraLKmqqkpFRUXKy8tTZmamvv76a3Xq1Em7d+9WUFCQi98BcHmwDsDsPv/8cyUkJOjkyZMtmgOdOnXSBx98oCFDhjgpIZyNcg/AcCg3MLNHHnlEq1ev1qpVqzRw4MAWjfnyyy915513aty4cXr11VcdnBBwPNYBmN3+/fsVEREhm82m+Pj4n50DGRkZWr16taxWq3JycnTttde6+B3AESj3AAyHcgMz69Gjh/76178qPj6+VeM+/PBDTZ8+XUeOHHFQMsB5WAdgdhMnTtQ333yj9PR09ezZs0VjDh48qNtuu0033HCD/vGPfzg4IVyBcg/AcCg3MDMvLy/t27ev1c/sPnLkiMLCwlRdXe2gZIDzsA7A7IKDg/XWW29p5MiRrRq3ceNG3X///SosLHRQMrgSu4oAMJySkhJFRka2elxUVJSOHz/ugESA83Tt2lU7d+5s9bicnBx16dLFAYkA52MdgNmVlZUpNDS01eNCQ0NVVlbmgET4NaDcAzAcyg3MLDY2Vo899piys7NbPObrr7/W448/rtjYWAcmA5yHdQBm161bN3322WetHrdlyxZ169bNAYnwa8Bz7gEYzvlyExQUpBtvvLFFY86Xm7Fjxzo4HeBY8+bNU2pqqgYOHKgbb7xRt956q8LCwhQYGChvb29JUnV1tYqLi5WXl6dNmzYpOztbv/nNb5SUlOTi9MDlwToAs4uPj9fUqVPl6empu+++u0VjVq5cqWnTpunhhx92cDq4CvfcAzCc4uJi9e3bV2VlZa0uN3v27GGXZBje3r17NX78eO3bt08Wi+WSx9rtdoWGhmrVqlUKDw93UkLAsVgHYHYVFRWKiIjQ4cOHFRwcrKFDh15yDmzZskWFhYXq0aOHdu3axfPu3RTlHoAhUW5gdg0NDXr33XeVmpqq7Ozsn9xH3KVLFw0YMEAJCQm655571LYtF+vBvbAOwOyKi4s1ceJEbdq0SZIuOg/O171hw4bp7bff5o9bboxyD8CwKDfAf5w9e1YVFRWSJH9/f7Vv397FiQDHYx0ApC+++EL//Oc/lZ2drYKCgmZrQUhISNMcuOWWW1ycFI5GuQfgNig3AGBurAMAzIxyDwAAAACAwXFtEgAABnXs2DGlpqZq+/btKigoUHl5uSQpICBAISEhio6O1vjx49W9e3cXJwUAAI7GJ/cADI1yAzOqqqrS9OnTtXz5ctlsNl1sKbdYLLJarZo0aZKWLFnCJcpwS6wDMLuvvvpKK1euvOQcSEhI0KBBg1ycFI5GuQdgSJQbmFVdXZ0GDx6sbdu2ydPTU9HR0QoLC1NQUJB8fHwkNc6PoqIi5eXlafv27aqtrVV0dLS2bt2qdu3aufgdAJcH6wDMrqSkRPfee68yMzMl6ZJzQJJuvfVW/f3vf1dgYKDTMsK5KPcADIdyAzNLTk7W/PnzNX/+fD322GM/+6ziiooKvfzyy5o3b56SkpI0Z84cJyUFHId1AGZXUVGhqKgoFRQUKDg4WMOHD7/kHNi8ebMKCwvVq1cv5eTk8Jx7d2UHAIN59tln7R4eHvYFCxbYy8vLf/b48vJye3Jyst3Dw8P+7LPPOiEh4Djh4eH2v/zlL60et3jxYnufPn0ckAhwPtYBmF1iYqLdz8/P/u6779ptNtvPHm+z2ezvvPOO3c/Pz56YmOiEhHAFPrkHYDh9+/bVgw8+qOnTp7dqXEpKipYvX67c3FwHJQMcz8fHR7m5uerZs2erxh06dEjh4eGqqqpyUDLAeVgHYHa9e/fW008/rfvuu69V41asWKHk5GQdOHDAQcngSlZXBwCA1jp48KDi4uJaPe6OO+7QoUOHLn8gwIl8fX1VVFTU6nFFRUXy9fV1QCLA+VgHYHbff/+9hg4d2upxw4YN0/fff3/5A+FXgXIPwHAoNzCzQYMGacaMGaqsrGzxmMrKSs2YMYOdkuE2WAdgdh06dFB+fn6rx+Xn56tDhw4OSIRfAy7LB2A48fHxOnHihNavXy8/P78WjamsrFRsbKw6d+6stLQ0BycEHCc7O1s333yzOnfurEmTJjVtohQYGKg2bdpIkhoaGlRcXKy8vDxt2rRJK1as0MmTJ5WVlaUBAwa4+B0AvxzrAMxuwoQJysnJ0fr169WjR48WjTly5IhiY2MVGRmpt99+28EJ4QqUewCGQ7mB2b377rt68MEHVVdX1+z1H/78n2e329WuXTstXbpUEyZMcGpOwFFYB2B2+/fvV0REhCQpLi6u2Rzw9vaWJFVXVzebA2vWrJEk7dy5U6GhoS7LDseh3AMwJMoNzO7gwYNKTk5WWlqaTp8+fcFjAgICdMcdd2j27NkKCQlxbkDAwVgHYHZbtmxRQkKCTp061fQs+4ux2+3q2LGjPvjgAw0bNsxJCeFslHsAhkW5ASSbzab9+/eroKBAFRUVkiR/f3+FhIQoNDRUVivb68B9sQ7A7MrLy/Xiiy8qNTVVubm5stlszb5usVgUHh6uhIQETZ06VVdccYVrgsIpKPcADI9yAwDmxjoASFVVVTp06FCzOdCzZ0/5+Pi4OBmchXIPAIAb8vf3165du9SrVy9J0tmzZ5WSkqK5c+e6OBkAAHAEyj0AAG7Iz89Pu3fvbir3JSUlCg4ObnYfMuCOSktL9dZbb2nbtm0qKytThw4dNHDgQN13333y9/d3dTzgsisrK5OXl1fTRnrn7d69W0uXLtWxY8cUGBio8ePHa8SIES5KCWeg3AMwrGXLlumDDz5QaWmp+vXrp0cffVRRUVE/OS42NlYbN26U1Hjv2blz55wdFXA6Pz8/7dmzRz179pREuYd7ef311/Xss8+qa9eu2r59e9PrH3/8sSZMmKCKigqdP8U9v9FYp06dlJqaqltuucUlmYHLbdu2bXr44Ye1Z88eWSwWDR06VMuWLVOPHj2Unp6u+Ph4nTt3Tna7vWkePPHEE1qyZImLk8NRKPcADGnChAl677339MNfYRaLRY8++qhSUlLUrl27ptf/9a9/6dSpU5oyZYry8/MpNzCs85/Ct8TRo0cVHBystm3bSmrcOfzYsWP8/MMtxMXFacOGDZo7d65mzZolSdq7d6+ioqJUW1ur0NBQRUVFyc/PTyUlJdq7d6/y8/N1xRVXaOfOnS1+Ljjwa3X48GH169dPZ86caXrNYrHo+uuv1+bNmxUWFiZ/f3+FhYXJarVq3759ysvLk8ViUXp6ukaNGuXC9HAUyj0Aw1m1apUSEhLk5+ensWPHqlu3bioqKlJGRoaKi4s1aNAgpaeny8/Pr9m46Oho5eTkUG5gWFarVRaLRf/fpdtisfDzD7cQEhKiqVOn6g9/+EPTa5MmTdLq1av1/vvvX7C4pKen6/7779fdd9+tl156yYlpgcvvkUce0XvvvafFixfrt7/9rXJzc/Xkk0+qsLBQc+bMUWRkpOLi4pqN+eSTTzRx4kQNHjxYq1atck1wOFRbVwcAgNZavny5QkND9emnnyooKKjp9YaGBi1btkyJiYkaPny4MjMzFRAQ4MKkwOU1bdo0vfTSS7rqqqu0aNEiBQYGXvA4u92uMWPGaOnSpbryyislSadOnVJCQoIz4wIOU1xcrDFjxjR7bevWrVq0aNFFP5EcM2aMUlJSNH/+fGdEBBwqMzNTixYt0kMPPSRJCg8PV4cOHTRq1CgFBgb+pNhL0ujRo7Vo0SLNmzfPuWHhNHxyD8BwAgMD9corr+iOO+644NcPHDigmJgYBQUFKSMjo+kRMHxyD3eQnZ2thx56SIWFhUpJSdH9999/wePYUA/urEOHDtq1a1ezy+s7duyoL774Qtddd91Fxx09elTXXnutqqurnRETcBhvb2/t3r1boaGhTa/V19fL29tbu3btUt++fS847vDhwwoLC1NNTY2zosKJeOgnAMMpLS3V9ddff9Gv9+7dW1lZWSorK9PYsWNVW1vrvHCAg914443KycnR1KlTNWXKFMXExOjw4cM/O65Nmza66qqrHB8QcIJrrrlGu3fvbvZaYGCgTp48eclxx48f/8mO4oAReXt7q76+vtlrDQ0Nstvtlzzvqa2tVZs2bRwdDy5CuQdgOL6+vjp9+vQljwkKClJmZqaOHj2q+Pj4nyyAgJF5eHho3rx52rFjhyoqKtS3b18tWbLkkvfid+rUSYcOHXJiSsBx4uPjlZycrLq6uqbXbr/9dqWkpFx0jM1m0zPPPKOIiAhnRAQcqnv37vr444+bvbZu3Tq1b99eqampFx2XmprKH3rdGOUegOH06dNHa9eu/dnjgoODlZmZqdzcXN199908Ag9uJzw8XF999ZWeeeYZPf3007rpppv07bffujoW4HDTpk3T8ePHNWTIEG3atEk2m00zZ87Unj17FB0drTfffFPbtm3TgQMHlJWVpVdeeUX9+/fXunXrNGXKFFfHB36x4cOHa+7cuUpKStL69euVkpKiyZMn66mnntLzzz+vuXPnNvsgpLKyUsnJyfrTn/6kkSNHui44HIp77gEYzjPPPKOFCxdq8eLFuvfee+Xr63vJ4/Pz8zVkyBCVlJRIEvccwy0dOnRIkydP1tatWzVjxgwtWbJEe/bsadXj8wAjyc/PV0xMjI4ePSpPT09dffXVqq6u1pEjR5qe6f1DdrtdkydP1muvveaCtMDldeTIEfXp06fZvfNXXnml8vLydM8992jdunWSpK5du8pisai4uFiS1L59e+3evVs9e/Z0SW44FuUegOF89913CgkJ0blz59S2bVuVlpb+bMHPzc3V0KFDVVpaSrmHWzv/xIjy8nLl5+dT7uHWqqqqtGDBAq1YsUJFRUUXPS40NFRz5szRxIkTnZgOcKzNmzdr+vTpOnDggPr3769XX31V/fv31+nTpzVq1Cht37692fFdu3bVO++8o+HDh7soMRyNcg/AkD7//HOVlZVJarzPsiWbw+Tm5iozM1PTpk1zdDzApYqLi7Vx40aNHz9e7du3d3UcwOFsNpu+/fZb7dmzRydOnFBVVZW8vb0VFBSkiIgIhYWFuToi4HSbN2/Wjh07JDX+gSsmJoYNJd0c5R4AAAAAAINjQz0AAAAAAAyOcg8AAAAAgMFR7gEAAAAAMDjKPQAAAAAABke5BwAAAADA4Cj3AAAAAAAYHOUeAAAAAACD+1/VmADXCvIpuwAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.capacity_utilization(results= results_cost, location='HO', process='PV')" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{AqOff, H2_Comp, LiI, LiI_discharge, NGCC, PSH, PSH_discharge, PV, SMRH, WF}" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_set" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "86.87676255905373" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']/(results_cost.output['S_network'][ ('H2(C)', 0)]*1000)" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 1461863.2522684527},\n", - " {0: 57193.402770047105},\n", - " {0: 7136775.73281332},\n", - " {('CH4', 0): 32710.265442138836,\n", - " ('H2O', 0): 2.3702370000000004,\n", - " ('Solar', 0): 0.0,\n", - " ('Wind', 0): 0.0})" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_network'], results_cost.output['Fopex_network'], results_cost.output['Vopex_network'], results_cost.output['B_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 1461863.2522684527},\n", - " {0: 57193.402770047105},\n", - " {0: 7136775.73281332},\n", - " {('CH4', 0): 32710.265442138836,\n", - " ('H2O', 0): 2.3702370000000004,\n", - " ('Solar', 0): 0.0,\n", - " ('Wind', 0): 0.0})" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_network'], results_cost.output['Fopex_network'], results_cost.output['Vopex_network'], results_cost.output['B_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 1.0,\n", - " ('HO', 'H2_Comp', 0): 1.0,\n", - " ('HO', 'LiI', 0): 1.0,\n", - " ('HO', 'LiI_discharge', 0): 1.0,\n", - " ('HO', 'NGCC', 0): 1.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PSH_discharge', 0): 1.0,\n", - " ('HO', 'PV', 0): 1.0,\n", - " ('HO', 'SMRH', 0): 1.0,\n", - " ('HO', 'WF', 0): 1.0}" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "milp_h2_max = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE}, objective=Objective.MAX_DISCHARGE, inventory_zero = {houston: {(LiI, Power): 100}}, objective_resource = H2_C)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 368400 rows, 315469 columns and 1001715 nonzeros\n", - "Model fingerprint: 0x506d92f9\n", - "Coefficient statistics:\n", - " Matrix range [6e-05, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-02, 1e+05]\n", - "Presolve removed 359651 rows and 297970 columns\n", - "Presolve time: 0.46s\n", - "Presolved: 8749 rows, 17499 columns, 26247 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier performed 0 iterations in 0.49 seconds (0.43 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 3.6962025e+05 0.000000e+00 0.000000e+00 1s\n", - "\n", - "Solved in 0 iterations and 0.71 seconds (0.58 work units)\n", - "Optimal objective 3.696202532e+05\n" - ] - } - ], - "source": [ - "results_h2_max = solve(scenario=scenario, instance=milp_h2_max, solver='gurobi',\n", - " name=f\"results_slsp_h2_max\", print_solversteps=True, saveformat='.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/deterministic.ipynb b/examples/multiperiod-examples/deterministic.ipynb deleted file mode 100644 index 8a6954de..00000000 --- a/examples/multiperiod-examples/deterministic.ipynb +++ /dev/null @@ -1,1404 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - Lithium-ion batteries (LiI), Solar Photovoltaics (PV), Wind Farms (WF), Steam Methane Reforming + CCUS SMRH, SMR, Hydrogen Fuel Cells (H2FC), Direct Air Capture (DAC), Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "CH4, CO2, CO2_DAC, CO2_Vent, H2, H2O, Power, Solar, Wind\n", - "\n", - "LiI_Power_stored is generated implicitly as Power stored in LiI " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "from pyearth import Earth\n", - "import pyomo.environ as pyo\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str, index:list):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " df['idx'] = index\n", - " df = df.set_index('idx')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "idx = [(i,j,k) for i,j,k in product(range(1), range(365), range(24))]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "weather_ny = load_data('ny', idx)[['DNI', 'Wind Speed']]\n", - "weather_ny = weather_ny.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - "weather_sd = load_data('sd', idx)[['dni', 'wind_speed']]\n", - "weather_ho = load_data('ho', idx)[['dni', 'wind_speed']]\n", - "\n", - "weather_ho = pandas.concat([weather_ho]*31)\n", - "weather_ny = pandas.concat([weather_ny]*31)\n", - "weather_sd = pandas.concat([weather_sd]*31)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "demand_sd = pandas.read_excel('../data/HistoricalEMSHourlyLoad-2019.xlsx', index_col= 0)[['SDGE']]\n", - "demand_ho = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_ny = pandas.DataFrame(pandas.read_csv('../data/NYC_load.csv')['Load']) #from Will and Doga\n", - "# Fix Index\n", - "# demand_sd = demand_sd.set_index(weather_ho.index)\n", - "# demand_ho = demand_ho.set_index(weather_ho.index)\n", - "# demand_ny = demand_ny.set_index(weather_ho.index)\n", - "demand_ho = pandas.concat([demand_ho]*31)\n", - "demand_ny = pandas.concat([demand_ny]*31)\n", - "demand_sd = pandas.concat([demand_sd]*31)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Natural gas prices from Henry Hub Price Index** \n", - "\n", - "We use the special function energiapy.make_henry_price_df because of special requirements such as filling in empty data points (weekends, public holidays). Such function will be generalized in the next update of energipy" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020, stretch=True)\n", - "ng_price = ng_price.drop(columns= 'scales')\n", - "ng_price = remove_outliers(ng_price, sd_cuttoff = 3)\n", - "# ng_price = ng_price.set_index(weather_ho.index) #Fix index\n", - "ng_price = pandas.concat([ng_price]*31)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype = {\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string', \n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value', 'scenario']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis = 'columns')\n", - " df_out = df_out.loc[:,~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns = ['index'])\n", - " return df_out" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_8812\\3360885800.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", - " raw_data[raw_data['technology'] == 'Nuclear'][raw_data['techdetail'] == 'NuclearSMR']\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
atb_yearcore_metric_keycore_metric_parametercore_metric_casecrpyearstechnologytechnology_aliastechdetaildisplay_namedefaultscenariocore_metric_variableunitsvalue
977122022MM2NuarNucleRCAPEXMarket20NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2020$/kW7988.951077
977132022MM2NuarNucleRCAPEXMarket20NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2021$/kW7939.023405
977142022MM2NuarNucleRCAPEXMarket20NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2022$/kW7889.095733
977152022MM2NuarNucleRCAPEXMarket20NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2023$/kW7839.168060
977162022MM2NuarNucleRCAPEXMarket20NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2024$/kW7789.232492
.............................................
2583492022RM6NuarNucleRVariable O&MR&D60NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2046$/MWh3.600000
2583502022RM6NuarNucleRVariable O&MR&D60NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2047$/MWh3.600000
2583512022RM6NuarNucleRVariable O&MR&D60NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2048$/MWh3.600000
2583522022RM6NuarNucleRVariable O&MR&D60NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2049$/MWh3.600000
2583532022RM6NuarNucleRVariable O&MR&D60NuclearNuclearNuclearSMRNuclear - Small Modular Reactor0.0Moderate2050$/MWh3.600000
\n", - "

1116 rows × 14 columns

\n", - "
" - ], - "text/plain": [ - " atb_year core_metric_key core_metric_parameter core_metric_case \\\n", - "97712 2022 MM2NuarNucleR CAPEX Market \n", - "97713 2022 MM2NuarNucleR CAPEX Market \n", - "97714 2022 MM2NuarNucleR CAPEX Market \n", - "97715 2022 MM2NuarNucleR CAPEX Market \n", - "97716 2022 MM2NuarNucleR CAPEX Market \n", - "... ... ... ... ... \n", - "258349 2022 RM6NuarNucleR Variable O&M R&D \n", - "258350 2022 RM6NuarNucleR Variable O&M R&D \n", - "258351 2022 RM6NuarNucleR Variable O&M R&D \n", - "258352 2022 RM6NuarNucleR Variable O&M R&D \n", - "258353 2022 RM6NuarNucleR Variable O&M R&D \n", - "\n", - " crpyears technology technology_alias techdetail \\\n", - "97712 20 Nuclear Nuclear NuclearSMR \n", - "97713 20 Nuclear Nuclear NuclearSMR \n", - "97714 20 Nuclear Nuclear NuclearSMR \n", - "97715 20 Nuclear Nuclear NuclearSMR \n", - "97716 20 Nuclear Nuclear NuclearSMR \n", - "... ... ... ... ... \n", - "258349 60 Nuclear Nuclear NuclearSMR \n", - "258350 60 Nuclear Nuclear NuclearSMR \n", - "258351 60 Nuclear Nuclear NuclearSMR \n", - "258352 60 Nuclear Nuclear NuclearSMR \n", - "258353 60 Nuclear Nuclear NuclearSMR \n", - "\n", - " display_name default scenario \\\n", - "97712 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "97713 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "97714 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "97715 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "97716 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "... ... ... ... \n", - "258349 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "258350 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "258351 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "258352 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "258353 Nuclear - Small Modular Reactor 0.0 Moderate \n", - "\n", - " core_metric_variable units value \n", - "97712 2020 $/kW 7988.951077 \n", - "97713 2021 $/kW 7939.023405 \n", - "97714 2022 $/kW 7889.095733 \n", - "97715 2023 $/kW 7839.168060 \n", - "97716 2024 $/kW 7789.232492 \n", - "... ... ... ... \n", - "258349 2046 $/MWh 3.600000 \n", - "258350 2047 $/MWh 3.600000 \n", - "258351 2048 $/MWh 3.600000 \n", - "258352 2049 $/MWh 3.600000 \n", - "258353 2050 $/MWh 3.600000 \n", - "\n", - "[1116 rows x 14 columns]" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "raw_data[raw_data['technology'] == 'Nuclear'][raw_data['techdetail'] == 'NuclearSMR']" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'UtilityPV', techdetail = 'Class1', scenario = 'Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'LandbasedWind', techdetail = 'Class1', scenario = 'Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'R&D', crpyear = 30, technology = 'Commercial Battery Storage', techdetail = '8Hr Battery Storage', scenario = 'Advanced'),\n", - " 'PSH': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Pumped Storage Hydropower', techdetail = 'NatlClass10', scenario = 'Advanced'),\n", - " 'ASMR': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'NuclearSMR', scenario = 'Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'Nuclear', scenario = 'Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'NaturalGas_FE', techdetail = 'CCCCSHFrame95%', scenario = 'Conservative'),\n", - " 'SMR': pandas.DataFrame([(1 - i/(31*15)) for i in range(31)])\n", - " }\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'UtilityPV', techdetail = 'Class1', scenario = 'Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'LandbasedWind', techdetail = 'Class1', scenario = 'Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'R&D', crpyear = 30, technology = 'Commercial Battery Storage', techdetail = '8Hr Battery Storage', scenario = 'Moderate'),\n", - " 'PSH': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Pumped Storage Hydropower', techdetail = 'NatlClass10', scenario = 'Moderate'),\n", - " 'ASMR': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'NuclearSMR', scenario = 'Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'Nuclear', scenario = 'Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'NaturalGas_FE', techdetail = 'CCCCSHFrame95%', scenario = 'Conservative'),\n", - " 'SMR': pandas.DataFrame([(1 - i/(31*15)) for i in range(31)])\n", - " }\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'UtilityPV', techdetail = 'Class1', scenario = 'Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'LandbasedWind', techdetail = 'Class1', scenario = 'Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'R&D', crpyear = 30, technology = 'Commercial Battery Storage', techdetail = '8Hr Battery Storage', scenario = 'Conservative'),\n", - " 'PSH': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Pumped Storage Hydropower', techdetail = 'NatlClass10', scenario = 'Conservative'),\n", - " 'ASMR': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'NuclearSMR', scenario = 'Moderate'), #no cons, adv\n", - " 'NPP': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'Nuclear', scenario = 'Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'NaturalGas_FE', techdetail = 'CCCCSHFrame95%', scenario = 'Conservative'),\n", - " 'SMR': pandas.DataFrame([(1 - i/(31*15)) for i in range(31)])\n", - " \n", - " }" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[31, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', varying = [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM, price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand = True)\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen', block='Resource', store_max = 10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons', label='Carbon dioxide - sequestered', store_max = 10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price= 0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons', label='Natural gas', varying= [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons', label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons', label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons', label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', storage= Power, capex = 3516428, fopex= 87910, vopex = 0, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=1462000, fopex=43000, vopex=4953, prod_max=bigM, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex = 1333262, fopex= 22623, vopex=0, prod_max=bigM, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520000, fopex = 945000, vopex = 51.5,\\\n", - " prod_max= bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name= 'NGCC', conversion = {Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2:0.297*0.95}, capex = 2158928, fopex= 53320, vopex = 4090, prod_max= bigM, label = 'NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-0.050, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = bigM, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex = 3924781, fopex= 17820, vopex = 512.5, store_max = 10000, prod_max=bigM, label='Pumped storage hydropower', basis = 'MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1}, capex = 730, fopex= 114, vopex= 3.6, prod_max=bigM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1}, capex = 7988951, fopex= 0.04*0.730, vopex= 0, prod_max=bigM, label='Small modular reactors (SMRs)')\n", - "\n", - "AWE = Process(name='AWE', conversion={Power: -1, H2: 0.019, O2: 0.7632, H2O: -0.1753}, capex = 1.1*10**6, fopex = 16918, vopex = 0, prod_max=bigM, label='Alkaline water electrolysis (AWE)', citation='Demirhan et al. 2018 AIChE paper') \n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex = 5.52, vopex = 4.14, fopex = 0, prod_max= bigM, label='Offshore aquifer CO2 sequestration (SMR)')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = {LiI, WF, PV, SMRH, SMR, DAC, AWE, H2_L_c, H2_L_d, AQoff_SMR, ASMR, PSH, NGCC}" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 3516428, fopex= 87910, vopex = 0, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=1462000, fopex=43000, vopex=4953, prod_max=bigM, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex = 1333262, fopex= 22623, vopex=0, prod_max=bigM, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520, fopex = 945, vopex = 0.0515,\\\n", - " prod_max= bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name= 'NGCC', conversion = {Power: 1, CH4: -108, CO2_Vent: 297*0.05, CO2:297*0.95}, capex = 2158928, fopex= 53320, vopex = 4090, prod_max= bigM, label = 'NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-50, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = bigM, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex = 3924781, fopex= 17820, vopex = 512.5, store_max = 10000, prod_max=bigM, label='Pumped storage hydropower', basis = 'MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -4.17*10**(-4), H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, capex = 0.730, fopex= 114000, vopex= 3600, prod_max=bigM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3364.1, Power: 1}, capex = \t7988951, fopex= 0.04*0.730, vopex= 0, prod_max=bigM, label='Small modular reactors (SMRs)')\n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -0.00128, CO2_AQoff: 1, CO2: -1}, capex = 0.00552, vopex = 0.00414, fopex = 0, prod_max= bigM, label='Offshore aquifer CO2 sequestration (SMR)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ho[['dni']], WF: weather_ho[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ho}, price_factor = {CH4: ng_price}, scales=scales, label='Houston', capex_factor = {PV: advanced_dict['PV'][['CAPEX']]},\n", - " expenditure_scale_level = 0, demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "sandiego = Location(name='SD', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_sd[['dni']], WF: weather_sd[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_sd}, price_factor = {CH4: ng_price}, scales=scales, label='SanDiego', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "newyork = Location(name='NY', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ny[['dni']], WF: weather_ny[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ny}, price_factor = {CH4: ng_price}, scales=scales, label='NewYork', demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Train_H2 = Transport(name= 'Train_H2', resources= {H2}, trans_max= bigM, trans_loss= 0.03, trans_cost= 1.667*10**(-3)\\\n", - " , label= 'Railway for hydrogen transportation')\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.001, trans_cost= 0.5*10**(-3), label= 'Railroad transport')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# distance_matrix = [\n", - "# [0, 2366, 2620],\n", - "# [2366, 0, 4440],\n", - "# [2620, 4440, 0]\n", - "# ]\n", - "\n", - "# transport_matrix = [\n", - "# [[], [Grid, Train_H2], [Grid, Train_H2]],\n", - "# [[Grid, Train_H2], [], [Grid, Train_H2]],\n", - "# [[Grid, Train_H2], [Grid, Train_H2], []] \n", - "# ]\n", - "\n", - "# network = Network(name= 'Network', source_locations= [houston, sandiego, newyork], sink_locations= [houston, sandiego, newyork], distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "\n", - "# scenario = Scenario(name= 'scenario_full', network= network, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - "# network_scale_level= 0, demand_scale_level= 2, label= 'full_case', demand = {newyork: {Power: 80}, houston: {Power: 0}, sandiego: {Power: 0}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "distance_matrix = [\n", - " [2366, 2620]\n", - "]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Train_H2]],\n", - "]\n", - "\n", - "network = Network(name='Network', source_locations=[houston], sink_locations=[\n", - " sandiego, newyork], distance_matrix=distance_matrix, transport_matrix=transport_matrix)\n", - "\n", - "\n", - "scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, label='full_case', demand={newyork: {Power: 80}, houston: {Power: 0}, sandiego: {Power: 0}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plot_scenario.capacity_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'orange')\n", - "# plot_scenario.capacity_factor(scenario = scenario, location= sandiego, process= WF, fig_size= (9,5), color= 'blue')\n", - "# plot_scenario.demand_factor(scenario = scenario, location= newyork, resource= Power, fig_size= (9,5), color= 'red')\n", - "plot_scenario.capex_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'black')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for demand**" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# milp_demand = formulate(scenario= scenario, constraints={Constraints.cost, Constraints.inventory,\\\n", - "# Constraints.production, Constraints.resource_balance, Constraints.transport, Constraints.mode}, \\\n", - "# objective=Objective.demand)\n", - "# results_demand = solve(scenario = scenario, instance= milp_demand, solver= 'gurobi', name=f\"results_demand\", print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'NY': None,\n", - " 'SD': None,\n", - " 'HO': {'PV': {(0,): 1.0,\n", - " (1,): 0.8744420044837665,\n", - " (2,): 0.82874979430123,\n", - " (3,): 0.7830575841186935,\n", - " (4,): 0.7373653739361569,\n", - " (5,): 0.6916731637536205,\n", - " (6,): 0.646477069583177,\n", - " (7,): 0.601210347443466,\n", - " (8,): 0.5558730999896487,\n", - " (9,): 0.5104654294812088,\n", - " (10,): 0.46498743778432655,\n", - " (11,): 0.4592685970537738,\n", - " (12,): 0.4535497563232212,\n", - " (13,): 0.44783091559266847,\n", - " (14,): 0.44211207486211573,\n", - " (15,): 0.43639323413156306,\n", - " (16,): 0.4306743934010103,\n", - " (17,): 0.4249555526704577,\n", - " (18,): 0.41923671193990497,\n", - " (19,): 0.4135178712093523,\n", - " (20,): 0.40779903047879956,\n", - " (21,): 0.40208018974824694,\n", - " (22,): 0.3963613490176942,\n", - " (23,): 0.3906425082871416,\n", - " (24,): 0.38492366755658886,\n", - " (25,): 0.37920482682603623,\n", - " (26,): 0.37348598609548356,\n", - " (27,): 0.36776714536493094,\n", - " (28,): 0.36204830463437826,\n", - " (29,): 0.35632946390382564,\n", - " (30,): 0.35061062317327346}}}" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.capex_factor" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n" - ] - } - ], - "source": [ - "\n", - "milp_cost = formulate(scenario= scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.MODE}, \\\n", - " objective=Objective.COST, write_lpfile = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "results_cost = solve(scenario = scenario, instance= milp_cost, solver= 'gurobi', name=f\"results_cost\", print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Load results**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_cost = load_results(filename= 'results_cost.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (8,6))\n", - "plot_results.transport(results= results_cost, source= 'SD', sink = 'NY', resource= 'Power', transport = 'Grid')\n", - "plot_results.transport(results= results_cost, source= 'HO', sink = 'NY', resource= 'Power', transport = 'Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'P', component= 'WF', location = 'HO', fig_size= (9,5), color = 'steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'S', component= 'Power', location= 'NY')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_scenario.cost_factor(scenario= scenario, location= houston, resource= CH4)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston, process= PV)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston,process= WF)\n", - "plot_scenario.demand_factor(scenario= scenario, location= houston, resource= Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "kmeans = KMeans(n_clusters = 60, random_state = 0, n_init = 'auto').fit(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "red = kmeans.cluster_centers_ " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "help(Scenario)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/green-hydrogen.ipynb b/examples/multiperiod-examples/green-hydrogen.ipynb deleted file mode 100644 index 47da7951..00000000 --- a/examples/multiperiod-examples/green-hydrogen.ipynb +++ /dev/null @@ -1,1657 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n", - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n", - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "# raw_data = pandas.read_parquet(url)\n", - "# raw_data = raw_data.astype(\n", - "# dtype={\n", - "# 'core_metric_key': 'string',\n", - "# 'core_metric_parameter': 'string',\n", - "# 'core_metric_case': 'string',\n", - "# 'crpyears': 'string',\n", - "# 'technology': 'string',\n", - "# 'technology_alias': 'string',\n", - "# 'techdetail': 'string',\n", - "# 'display_name': 'string',\n", - "# 'scenario': 'string',\n", - "# 'units': 'string'\n", - "# })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - "# df_out = pandas.DataFrame()\n", - "# for i in core_metric_parameters:\n", - "# df = pandas.DataFrame(raw_data[\n", - "# (raw_data.core_metric_parameter == i) &\n", - "# (raw_data.core_metric_case == core_metric_case) &\n", - "# (raw_data.crpyears == str(crpyear)) &\n", - "# (raw_data.technology == technology) &\n", - "# (raw_data.techdetail == techdetail) &\n", - "# (raw_data.scenario == scenario)\n", - "# ][['value']])\n", - "# df = df.rename({'value': i}, axis='columns')\n", - "# df = df.reset_index()\n", - "# df_out = pandas.concat([df_out, df], axis='columns')\n", - "# df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - "# df_out = df_out.fillna(0)\n", - "# df_out = df_out.drop(columns=['index'])\n", - "# return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "# hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "# hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "# med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "# med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "# med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "# low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "# low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "# low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "# hig_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "# hig_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "# hig_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "# med_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "# med_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "# med_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "# low_trl_adv_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "# low_trl_mod_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "# low_trl_con_df = pandas.DataFrame(\n", - "# data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "# constant_df = pandas.DataFrame(\n", - "# data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "# param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "# advanced_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - "# 'PSH_discharge': constant_df,\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_adv_df,\n", - "# 'SMRH': hig_trl_adv_df,\n", - "# 'AqOff': hig_trl_adv_df,\n", - "# 'DAC': low_trl_adv_df,\n", - "# 'PEM': low_trl_adv_df,\n", - "# 'H2_L_c': med_trl_adv_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n", - "\n", - "\n", - "# moderate_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - "# 'PSH_discharge': constant_df,\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_mod_df,\n", - "# 'SMRH': hig_trl_mod_df,\n", - "# 'AqOff': hig_trl_mod_df,\n", - "# 'DAC': low_trl_mod_df,\n", - "# 'PEM': low_trl_mod_df,\n", - "# 'H2_L_c': med_trl_mod_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n", - "\n", - "\n", - "# conservative_dict = {\n", - "# 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - "# 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - "# 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - "# 'LII_discharge': constant_df,\n", - "# 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - "# 'PSH_discharge': constant_df,\n", - "# # no cons, adv\n", - "# 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - "# 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - "# 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - "# 'SMR': hig_trl_con_df,\n", - "# 'SMRH': hig_trl_con_df,\n", - "# 'AqOff': hig_trl_con_df,\n", - "# 'DAC': low_trl_con_df,\n", - "# 'PEM': low_trl_con_df,\n", - "# 'H2_L_c': med_trl_con_df,\n", - "# 'H2_L_d': constant_df\n", - "# }\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 0.01\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=100,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=118.48, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, H2_Comp, PEM, PSH, PV}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[-8760:], WF: wind_houston[-8760:]}, price_factor={\n", - " CH4: ng_price_df[-365:]}, scales=scales, label='Houston', expenditure_scale_level=0, demand_scale_level=1, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, purchase_scale_level=1, label='full_case', demand={houston: {H2_C: 0.2740}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAHtCAYAAACEdOhUAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADaSUlEQVR4nOzdd1QU19sH8O8uvfcOooCICBaIXYM9osYSNRp7ixpjN/aeaIzGGluixl4SNdYoRmM3NhQVCxYUVBAEkd5h5/2Dd+fHsoXd2V228HzO8RyZuTtz7+4yzDP33ufyGIZhQAghhBBCCCFK4Gu6AoQQQgghhBDdR4EFIYQQQgghRGkUWBBCCCGEEEKURoEFIYQQQgghRGkUWBBCCCGEEEKURoEFIYQQQgghRGkUWBBCCCGEEEKURoEFIYQQQgghRGkUWBBCCCGEEEKURoEF0VqLFi0Cj8eT+Y/P58POzg7NmjXDsmXLkJmZqbLz37p1C+7u7mjcuDEyMjJUdtyqdvfuXfTt2xdubm4wNjaGi4sLmjVrhgULFiA3N1fT1dMLhw4dQtu2bWFnZwcTExN4eXmhc+fO2Lp1q6arJiY+Pl7s98jAwABXrlxR+HXCf23atKmayus4Se/hokWLNF0trTRv3jxYWVlhwYIFGqtDmzZtpH7na9asKVZe1u8IfdakuuAxDMNouhKESBIdHY3o6GgAwODBgwEArVu3xujRo9kyeXl5iIyMxJ49e1BYWIgaNWrgxIkTaNCggdLnHz9+PDZu3AgAOHz4MHr37q30MavahQsX0LlzZ5SWlmLo0KFo2rQp0tLSsGHDBiQlJSEuLk7iH8iqsnPnTsTHx6Nhw4bo2bOnxuqhjCVLlmD+/PmwsrLC+PHj4ePjg5iYGGzcuBGurq6Ij4/XdBVF5Obm4ujRowCAI0eOsP/39vZGdHQ0rK2t5X7dmjVr4OjoCBcXF3Ts2FFldbx//z6OHTsGAHp1M1b+PZwyZQo+fPiAhQsX6lUbVcXS0hK5ubmwtLREdna2Rupw7tw5vH//HjExMfjxxx8BAKNHj0br1q1haWkpds0q//lu2bIFV69eBQDs2bMHAFC/fn3Ur1+/6hqgRhkZGVi7di0AYNiwYRr9O0K0DEOIDgDAAGCGDh0qcX9UVBRjYWHBAGA8PDyYjx8/Kn3O69evM66urkyjRo2YtLQ0pY+nCSEhIQwAZsqUKSLbz5w5wwBg4uLiNFOx/xcWFibzc9V2qampjLGxMQOAOX78uMi+WbNmMd7e3pqpmJwWLlzI/m4BYIYMGaLQ69T1/dmxYwdbJ33l7e3NAGAWLlyo6apopdmzZzMWFhbMrFmzNF0V5uLFi+z3cceOHXK9ZujQoXr9HY6Li2Pbd/HiRU1Xh2gRGgpF9EKjRo0wY8YMAEBiYiLWrVun9DGbN2+OpKQkREVFwd7eXunjVbXs7GxERUUBgNhQlXbt2iEmJgYeHh4aqJn+uHnzJoqKigCIv8ezZs3C+fPnNVArxVlZWQEAdu/ejb/++kvDtSEE+PHHH5GTk4Nly5ZpuiqEEAVQYEH0xhdffMH+//jx4xqsiXZIT09n/19xeIuRkRECAgJgZGRU1dXSKx8/fmT/X/E9trGxga+vb1VXiZNffvkFfH7Zn4MxY8YgKSlJwzUihBCiiyiwIHqj/E3cy5cvNVgT7SAQCDRdBb2nL+9xmzZt2B6/tLQ0jBgxQsM1IoQQoososCB6w8DAgP1/cXEx+/+KmTmGDRsGANi3bx8+/fRTODg4iGS3uXTpkthrdu7cKfW8DMNg//796Ny5M1xcXGBkZAR7e3s0b94cM2fORGRkpNTXCgQCbN++He3atYOjoyNMTEzg7u6Onj17cu512blzJ3g8HmrVqsVua9u2rUh7yk8ofvv2LZYvX4727duz9bezs0Pz5s2xcuVK5OXlVXpORd+DmjVrgsfj4fLlywCAXbt2ib3nkiY9f/jwAXPnzkWDBg1gbW0NCwsLBAQEYNKkSXj9+rXEugnPVTGD0enTp/HZZ5/B2dkZfD5faqYXSYYNGwYej4fhw4ez2yrLGFNcXIyNGzciLCyM/ay9vLwwYMAA/PfffzLPU/4fADx58gRDhgyBl5cXDA0NZb5n8vr+++/xySefAADOnDnDJi7gorCwEH/88QcGDBgAPz8/mJmZwdzcHLVr18bo0aPx9OlTia8TZoKT9r6Wz6zj6uoq8fda6ObNm2KvvXTpksTzVfzevX37FuPGjUOtWrVgbGws8fV37tzBjBkz0KRJE9ja2rIZ18LDw3Hw4EHO752ioqKi0LdvXzg7O8PU1BTe3t4YOXIkXr58KfFaJpxwq6p2REZGYsCAAahRowZMTExgaWmJhg0bYsKECbh48SIYBfPDSPvOlyftmr5lyxaEhobC0tIStra26NSpE65fv67Q+TVB0eva06dPK/0b9dNPP1X6Pgo9e/YMX3/9NXx9fWFqagpzc3MEBgZi1KhROHnyJEpKStiywu+UrL8v0rLE/ffffxgwYAC8vLxgYmICR0dHhIWFYdOmTSJ/syueq2I7c3JyMHv2bPj5+cHU1BSurq4YMmQI3r59W8k7TaqEhud4ECIXVDJ5m2EYJj4+ni3n5+fHbt+zZw+zZ88eJiAggD3Gt99+y/j7+zM//vgj89tvvzFdu3ZlADBhYWFMcnIy+xpUMmEvIyODadu2LQOA8fLyYhYsWMBs3bqVWbBgAVO7dm329d98843Yaz9+/Mi0bNmSAcDUrVuXWbZsGfP7778zM2bMYOzt7RkATN++fZmCggKF3quXL18ye/bsYdasWcOef86cOWyb9uzZw+Tk5LB14PP5DADG29ubWbhwIbNlyxZm7ty5jK+vLwOAqVevHpOcnCz1fFzeg6NHj4p8Jq1btxapX/k6Cl28eJGxs7NjADAdO3Zk1q9fz2zevJnp06cPA4AxNTVl/vzzT7H6Cc/VunVr9jNesWIF4+npySxYsIDZsmULM2jQIPY9kMf169eZPXv2MKNHj2bbV77uR48eFSn/9u1bJjg4WOSz3rp1KzNx4kTG3NycAcBMnTqVEQgElZ7n4sWLjKOjIzN+/Hhm69atzKxZsxhTU1NOk6krTsJ+/vw5mwTBzMyMefr0qVyvq6hnz54MAMbY2JgZOXIks2nTJmbFihXM559/zn5Whw8fFnvdgwcPZL6ve/bsYR48eMAwDMMcPnxY7Pe6vNTUVLHfg4qTTIXnmzNnDlvm1KlTjKurKzN06FBmy5YtzA8//MB+74SvP3bsGFu+RYsWzPLly5nNmzczEydOZKysrBgAzJdffsmUlpZKfe9VMXl7//79jKGhIQOAad++PbNhwwZm06ZNTI8ePRgLCwvmp59+Yuu5Zs0aZs+ePUxMTAz7emXbsWPHDobP5zM2NjbMhAkTmM2bNzNr1qxhevXqxR7322+/VahNkr7zFUm6po8cOZJp3rw588svvzCbN29mOnXqxH4H//vvP8Xe2ArUOXmby3UtMzOz0r9Rjx49qvR9ZBiGOXv2LGNiYsKYmpoyI0eOZNavX89s2LCBGTJkCGNgYMAAYLp27cqWF/59lPX35ezZsyLnEAgEzJQpUxgAjLm5OTNx4kRm69atzLJly5i6desyAJjg4GAmISFB5HWS/hZv2LCBadiwIdO/f39my5YtzMqVK9ljeHl5Menp6ZV8MkTdKLAgOkGewGL79u1suTFjxojtF2Yg8vDwYFq3bs3k5+ez+0pLSxl/f38mLCxM4nkl/TEpLS1lb6iDg4PFLmiFhYXMF198wQBgevToIfZaYX3at28vFjy8efOGcXNzYwAwkyZNktpmWeTJ2pGamsoAYOrXr8/k5uaK7MvPz2c+++wzBgDTrVs3ia9X5j1gGPmzQj158oS9AZ83b57Y/m3btjEAGD6fz1y4cEHiMYR/6F1cXJjAwECxTF8dOnRQOIuTPNmLcnNz2T98HTp0EPus79+/z1haWjIAmEWLFlV6Hj8/PyYyMlJk/5IlS1QSWDDM/95LAMwnn3zCFBcXy/W68rp27coYGhpK/N4Jf0/Nzc2ZN2/eSHy9IlmhKvsOyfN7UP7G0dPTkzl58qTI/r1794q8/tChQwwAZtSoUWLHSkhIYH93V65cKbXeygYW0dHRjJGRkdRrxJo1a9gbQ2mflTLtSEtLY38n79y5I7Zf+D3imvFNnu+A8LN3c3NjevbsKRIACQQCpl27dgwApm3btpzqIFT++7F+/XomNTW10n/9+/evtP6quK5VFvDIeh9LSkoYDw8PBoDEQP+ff/5h+Hy+2N9FhlEsK5TwemFpacncv39fZF9BQQHToUMHBgATGBjI5OXlyWynm5sbs3r1apF9Hz9+ZBwcHBgAzOLFi2XWhagfBRZEJ1QWWGRmZjJ+fn4MAMbExIR5/vy5WBnhHyEATHR0tNj+jRs3MsuWLZN4XkkX7fIX7KtXr0qsV2JiImNgYCB2U/3777+zfzBiY2MlvnbTpk0MAMbAwEDqDZgsigQWkp70M0zZE2zhMV68eCG2X5n3gGHkDyzatGnD3lSXlJRILCM8lp+fn8QnrOWfIFa8cWQYhvnzzz+ZadOmyaxHRfLc/CxatIj9HF++fCmxjPAPr7Qy5c8jqY4PHjxghg4dyqSmpipUf2kBQu/evdnzzZ8/X+7XCXXt2pUJDw+Xet4WLVpIvZliGM0GFr179xbbn5iYyAwdOpR92n/o0CGGz+czSUlJEo+3ZcsWNkiRRtnAonPnzgwAxtHRUeLNmEAgYHvJZAUWXNtx/PhxBgDj4OAgtY4eHh5VElgAkPh7s3PnTvY6W/HBiSLKfz+4/JNGFdc1ZQKLBw8esPuys7Mlvr5ly5ZKBRaxsbFsgCvtwUlsbCzbcy4tMBCeq1atWhLfh2HDhjEAmKZNm0qtC6kaNMeC6JTCwkJ8+PCB/ff27VscOXIErVq1QmxsLAwNDbF9+3bUrl1b6jH8/f0RHBwstn3cuHGYNWuW3HURjkH38vJCq1atJJZxd3dHWFiYWMagzZs3AwBCQ0OlZg7q3LkzAKC0tFRtY7bt7e0RFxeHXr16Sdxfu3Zt2NjYAACuXbsmtl+Z90BeT548Yce29+vXT2QuTXkDBw4EAMTGxuKff/6Rejxzc3P2vS3vyy+/xMqVKznVURqGYdjPulmzZvDx8ZFYTlj30tJS/PbbbzKPKWmhxvr162Pnzp1wdHRUssZltmzZAk9PTwBlaT9v3ryp0Ou3b9+Offv2Sd0vnMshXEBMm0h6f93d3bFz504EBAQAALp06YL4+Hi4urpKPIawfQkJCWpZIDE5ORlnz54FAHTr1g1mZmZiZXg8XqWLeirTjtLSUgBlmdGePHki8fXHjh1jkwKoU7169ST+btWtWxdA2Vw2VSX0mD59Os6dO1fpv06dOsk8jqqva1wIP0NA8vUdAH799VesWrWK8zl+++039jzCtlTk6+uLZs2aAQA2bdokc15Oly5d2Ax25Qk/6xcvXnCuK1ENQ01XgBBF/PHHH/jjjz/EtvP5fLRr1w5Lly5lL1DSCC9AysjMzGTXiAgJCZFZtuJaBuVf6+/vjw8fPkh8nYmJCft/WRPAlcHn80UmGgsEAmRnZ4tMpLO2tkZmZiaSk5NFXqvMe6CICxcusP8PDQ2VWq78vosXLyI8PFxiudq1a8PQsGoufY8fP8b79+/F6iepTtbW1sjKysLFixdlHlMV39/K2NvbY/fu3ejQoQNKS0sxePBg3L9/HxYWFnK93tnZWeTnvLw85OfnszcMwu92xe+UNpDn/TU3N4e5uTn7c3FxMXJyckRu1ISSk5NVvirxjRs32IxkDRs2lFquXr16Mo+jTDsaN24MY2NjFBUVoV27dpg3bx4GDRoEW1tbtowwMFE3aQ+SytclMzNTJecKDAxEhw4dKi23d+9emftVfV3jIiAgAPb29vj48SO+/PJLzJw5E6NGjYKLiwtbJigoSKlzCNtpY2MDPz8/qeVCQ0Nx/fp1dqXzwMBAieUq+6xV9TkT7qjHguiUTp06iTwV+vfff3H79m2kpaXh/PnzlQYVgPh6A1zEx8ezf9jd3d05v3bfvn1wcnKS+K/84nXCm1N1yMnJwdKlS9GwYUOYmJjA1tZWpB7CTBsFBQVS26Hoe6CI8k8aZS3oV36frKeTqvj85SVv3YH/vYeVPVmtqvq3bdsW3333HYCyp6VTpkxR6PUnTpxAly5dYGdnBwsLCzg6OrLfqZ9//hmA+HdKG8j7/sbHx+Pbb7+Fj48PjI2NYW9vz7avfKCtjjaW7z1wc3OTWs7Ozk6uY3Fph6enJ1atWgUDAwO8f/8eEyZMgIuLC7p06YKtW7eKrPGibsIFHisyNjZm/18+s5E2UPV1jQszMzNs3boVpqamyM7Oxrx58+Du7o42bdpg3bp1ePfundLnENa5sr8R8razss9aUlBMqhb1WBCd4ubmJtfTIlkkdaMqKicnh/2/qakp59f27t0bY8eOrfQ1wuFIqpaQkIC2bdsiNjYWDg4OmDNnDurVqyey0vigQYMkBjbKvAeKkPc85fdlZWVJLaeKz19eirxHwv2y6g5Ubf2XLFmC8+fP4+7du9i6dSu6d++Obt26Vfq6b775Br/++it4PB769euHjh07wtPTk6377t27sWfPHnVXnxN53t8LFy7g888/R15eHgIDA7FmzRr4+PiwT//fv3+PQYMGqa2Oubm57P9lfa+kDa8RUrYd48ePR9OmTbFq1SocPXoURUVFiIiIQEREBCZMmIDRo0fjxx9/hKWlpYItVExV/k6oiqqva1x98cUXuH//PlauXIkDBw4gNzcXly9fxuXLlzFt2jT0798fq1evFuuFlJewnfJe/wDtuX4TbiiwIISD8k9NFH0iWf61jo6OSgdKypgwYQJiY2NhaWmJO3fuSByyIe0PgjLvgSLkPU/5feoKxBSlyHsk3K8tdQfKVmjfv38/QkJCkJubi5EjR+LRo0cyX3P8+HH8+uuvAICff/4Z06ZNEysjbTy3Oqh6EcPCwkIMHDgQeXl5aNSoEW7duiW2gr065lWUV/5GXdb3StbTW1W1o3Hjxvjjjz+QkZGBo0ePYt++fbhw4QIKCwuxfv16PHjwgF2PgPxPVV3X5Pn+16lTB1u3bsW6devw999/48CBA/j7779RUlKCffv2ITIyEg8ePOD0AMnKygrp6elyX/8A7boGEsVR6EcIB7Vq1WKfnCjaXVz+tW/evFF53eRVUFCAv//+GwDQvXt3hceBK/MeKKL8uFxZ50lMTGT/L21CfFWTt+7l92tL3YX8/f2xZs0aAEBKSgq+/vprmeUPHToEoOzJ4rfffqv2+gnny0gb6qLqp7xXr15l54Z88803YjfjVaH872pSUpLUcunp6VL3qbodtra2GD58OP799188evQIjRo1AgBcuXIFZ86cUerY+khV1zVhr5Qqvv/m5ub48ssvcfToUbx8+RIdO3YEADx//hw7duyQ+zjlCdtZ2fVPG6/fhBsKLAjhwMrKip2YePfuXZllx4wZgy+//JJ9IlP+tZGRkTKfKC1fvhyGhoYqz1YElGVzEf4xkjXGt3yXfXnKvAdC8jzFbNu2Lft/WecRTiSv+BpNqlu3LptxR1bdY2Nj2RsAbal7eV9//TWbOez48eM4cOCA1LIpKSkAAAcHB6lPOKV9p4QUebotnBORkZEhcf/z58/lPpY8hO0DpP/eVNY+ZTVv3pwN6u/duye1nLRsTYDy7bh37x7mzZsnccXkwMBAkcnLlfVyVUequq4p8/2Pi4vDvHnzkJqaKravRo0aOHToEBtwVvwM5f0dFdY5MzNT5twJYTtdXV3Z7GtEN1FgQQhHwqexCQkJUtNmPnjwAFu2bMG7d+9EbrKEr/3w4QNOnTol8bUlJSXYtWsXeDwe+vbtq+Lal934CSe8Sfvj8+bNG6SlpUk9hjLvAQB2LHf5m5OCggIEBARg1KhRAMpuzoV/nP7880+pwzv2798PoOwJWWWpHqsKj8fDN998A6Ask09cXJzEcsK6GxgYYPTo0VVWP0Vs27aNvQGVdbMinEycmpoq9Yl5+ZslSSpmKhKaMmUKAgICRG6E/P39AQDPnj2TeCxhr5yqlJ8sLe19qKx9ynJxcWFTJp86dQr5+fkSyx05ckTqMZRtx4MHD7B06VKpry1//PLZmUgZVV3XZH3/BQIBIiIipNbh9evXWLp0KW7fvi1xv42NDfu7WPEzlPY7euDAAQQEBLB/18aMGcP2qgjbUlFcXByb0nrcuHE0bE7HUWBBCEeDBg1Cu3btAJRNYqzY5ZyXl8cOG5k3b57U106YMEGkGxgo+4Pw3XffISYmBuPGjYO3t7fK629iYoKuXbsCKLv5qhgYFBcXY9KkSTKPocx7APwvdWD5IWHR0dF49uyZyMTTjRs3wtzcHC9evMAPP/wgdpydO3fi4sWL4PP52Lp1q1ZN8Js+fTrq1q2L0tJSjB07FkVFRSL7Hz58yPZILViwQOpaF5pmb2/PBrqylF87Yfbs2WI56Q8fPlxpSt3yKSXLfzfOnj2Lt2/fimQ7EqbfjI2Nxa1bt0SOc+vWLVy5ckXmuRTVokUL9qZ55cqVYk97U1NTsXDhQpWeU5KffvoJRkZG+PDhA+bMmSO2f/369TKHSamqHYsWLZLY67p7924AZZmHhNcZIkoV1zXh9//kyZNi19+1a9eKXW8kWbJkCQoLC8W2Hz9+HJmZmRLXRHF0dGSDjfK/o1evXsWzZ8/YBCA+Pj6YP38+gLI5V9HR0SLHKSoqwtixY1FaWorAwEA2Ex3RXTR5m2it6OhosYvQq1ev2C52X19fNG/evNLjHDt2DDk5OWxmo/LHqF+/PurXry9S/v379zh37pzIths3bsDQ0BAuLi7suFM+n48jR46gZ8+euHTpEoKDgzFixAh4eHjg9evX2LVrF96+fYvvv/9ebEE2aa8NCAhAcnIyjh07hrt376J79+5YsWKFAu9aWfuuX78usj7GuXPnkJCQAKDshkJ487p27VrcuXMHb9++Rfv27TFs2DA0atQIHz9+xMGDB5GSkgIrKytkZ2cjOjoae/fuFXnflXkPgLIFk3755Rdcv34dM2fORI0aNbBx40bw+XwMHTqULVe3bl2cOnUKvXr1wuLFi3Hjxg10794dhoaGuHDhAg4ePAhTU1Ps3LkTbdq0ETnHuXPn8P79e7x69Yr9fBX9DlV048YNvHz5Ejdu3GC3lR/60atXL3bNBzMzM5w9exbh4eE4e/YsGjVqhCFDhsDR0REPHz7Etm3bkJubiylTprB/gIWEvwOSzmNpaYmePXsqXPfc3FwcPXqUPT5Q9jvi6Ogo8v2WpH379vjuu+/YdLGSdO/eHcOGDcPOnTvx22+/4dGjR+jevTvMzc1x/fp1/Pnnn/Dz80NsbCxyc3PZ9pTPPtSgQQMEBwfj4cOH+Prrr9GvXz9cu3YNT548wZgxY0TWIQkLC0PXrl1x6tQpdO3aFePHj4e3tzceP36MQ4cOYdOmTWwmK+HvQXBwMBo0aMD+rsTExLDHE74XFeskZGJigu3bt6Nnz55ITExEYGAgRo0ahVq1aiEuLg6///67SOAjPGeLFi3g4uLCvvfCzE7C3ytFP8/g4GDs2rULQ4YMwdq1a/Ho0SP06tULfD4fZ8+exd27d7F69WqpWZ2UaYePjw87gfzw4cMICgpC37594eXlhaysLFy5cgUnT56EkZERfv/9d4XSUcv63RKeW9o1Xfj9FX7HJV0DJV3zpRFeO8p/P4R/CyR9XuV/t4TXm/L1r3huZa5rQhMnTsS2bduQkJCAli1bYsSIEbCyssKFCxfw/PlzzJ07l+1ZFtajQ4cOcHV1hbm5OQwMDHDz5k3Url0bgwYNQs2aNVFQUIDIyEgcPHgQPB4PK1asEFuriMfjYdCgQdiwYQOWLFmCgoICJCUl4ffff0dgYCCaNm3Kll2wYAEyMzOxZs0atGjRAiNHjkT9+vXx4cMH7N69G0+ePEFQUBAiIiJEFnss/35WfP+F76Xwd1jS96Vjx44ia3KQKqLZhb8JkW7hwoUMAKn/hg4dKtdxvL29pR5j4cKFYuUvXrwotXxYWJhYeYFAwOzdu5fp1KkT4+TkxBgaGjLOzs5Mjx49mAsXLsism6TXOjo6Mp06dWL2798vV/sq2rFjh8z3bceOHSLlU1NTmWnTpjG1a9dmjI2NGXNzc6ZevXrMzJkzmffv34u9f5Led2Xeg8OHDzOhoaGMqakpY2try7Ro0YI5e/asxLKpqanMnDlzmODgYMbCwoIxMzNj/P39mQkTJjDx8fESXxMWFqb0d6iioUOHynyP4+LixF5TWFjIbNiwgWndujVjZ2fHGBsbMx4eHkz//v2Za9euSTyPrN8Bb29vTnWPi4tT6PstqR0hISFS2ym0a9cuplWrVoyVlRVjZGTEuLu7M3369GGuXr0qsV0VxcfHM71792bs7e0ZExMTxt/fn1m0aBFTUFAgVjYvL4+ZO3cu4+vryxgbGzOurq7MkCFDmFevXkls79y5cxmGqfx3RZaHDx8yAwcOZNzc3BhDQ0PGxsaGad68OfPLL78wz549k/h7J+u95/p5RkVFMb1792YcHR0ZExMTxsfHh5k0aRKTmprKXLhwgT3+27dvVdYOoZiYGGbhwoXMp59+yjg7OzOGhoaMqakpU6dOHWbMmDHMkydPFG6PrN8t4bmlXdOF319Z77Oka740sq4dkj4vWeeVdW4u17Xy3rx5wwwZMoRxcXFhjI2NGV9fX2bu3LlMbm6uxO/4uXPnRF67fPlypkOHDoybmxtjbGzMmJiYMLVq1WIGDx7M3Lx5U+p58/PzmSlTpjCenp6MkZER4+XlxQwdOpR59+6dxPLXrl1jvvrqK8bDw4MxNjZm7OzsmFatWjEbNmxgCgsLFXo/he+lrN/hixcvVvreEdXjMYyMtdMJIYQQopNOnDiBHj16ACh7+lt+XDwhhKiD9gxEJoQQQohcCgoKcOfOHZlj6F+8eAGgLDU0BRWEkKpAgQUhhBCiY+Lj49G4cWOZa0ScOHECANheC0IIUTcKLAghhBAdtXTpUokZfXbs2IErV67Azs6OMu0QQqoMZYUihBBCdIww7e/t27cRGBiIgQMHwtvbGzk5Ofj333/x999/w9bWFn/99ZfMBTAJIUSVaPI2IYQQooNu3bqFgwcP4urVq3j58iUyMzNhZmaGmjVrIjw8HJMnT1Yo1SshhCiLAgtCCCGEEEKI0mgolIoIBAK8e/cOVlZWtBw9IYQQQgjRCwzDIDs7G+7u7hJXgC+PAgsVeffuHby8vDRdDUIIIYQQQlTu7du38PT0lFmGAgsVsbKyAlD2pltbW1f5+QUCAVJTU+Hk5FRpNKlLdL1dul5/afSxXfrYJkD/2qVv7RGidukGfWuPkL61S9/ao2lZWVnw8vJi73VlocBCRYTDn6ytrTUWWBQUFMDa2lqvfol0vV26Xn9p9LFd+tgmQP/apW/tEaJ26QZ9a4+QvrVL39qjLeQZ6k/vNiGEEEIIIURpFFgQQgghhBBClEaBBSGEEEIIIURpFFgQQgghhBBClEaBBSGEEEIIIURpFFgQQgghhBBClKZTgcX169dRp04d8Hg8xMfHa7o6hBBCCCGEkP+nE4FFfn4+pk2bhk8//RTPnz9XyTGfPXuGQYMGwc3NDaampvD19cX06dORmZmpkuMTQgghhBBSnWh9YPHy5Us0bNgQf/31FyIiIlRyzEuXLqFRo0a4c+cOdu7ciZiYGMybNw+//vorQkJCkJSUpJLzEEIIIYQQUl1o/crbjx8/Rvv27bFixQpYWloqfbyMjAz07dsXDMPg9OnT8PHxAQDUqlULJiYmGDhwIIYMGYJz584pfS5CCCGEEEKqC63vsejatSs2bdqkkqACANavX48PHz6gR48ebFAh1L9/f7i7u+Pff//Ff//9p5LzEUIIIYQQUh1ofWBhYGCg0uMdOnQIANC+fXuxfXw+H+3atQMA/Pnnnyo9LyGEEEIIIfpM6wMLVcrNzcXjx48BAAEBARLLCLdHRkZWWb0IIYQQQgjRdVo/x0KV4uLiIBAIAACurq4Sy7i5uQEomzQuS2FhIQoLC9mfs7KyAAACgYA9R1USCARgGEYj51YnXW+XrtdfGn1slz62CdC/dulbe4SoXbpBV9tTXFwMIyMjAEBJSQn4fD74/P89W9bVdkmjb+3RNEXex2oVWAhv/gHAzMxMYhlzc3MAqDTt7LJly7B48WKx7ampqSgoKFCiltwIBAJkZmaCYRiRi4Wu0/V26Xr9pdHHduljmwD9a5e+tUeI2qUbdLU9vXr1wtGjRwEAmzZtgpubG3r16sXu19V2SaNv7dG07OxsuctWq8BClWbPno2pU6eyP2dlZcHLywtOTk6wtrau8voIBALweDw4OTnp1S+RrrdL1+svjT62Sx/bBOhfu/StPULULt2gi+1hGAb37t1DUVERPD09cf/+fWRnZ8PZ2Zkto4vtkkXf2qNppqamcpetVoFF+Rv+/Px8iWXy8vIAADY2NjKPZWJiAhMTE7HtFbsXqxKPx9Po+dVF19ul6/WXRh/bpY9tAvSvXfrWHiFql27Qtfbk5eWhpKQEt27dgpeXF4qKihAbGytWf11rV2X0rT2apMh7WK3e7Vq1aoHH4wEAkpOTJZYRLo7n6+tbZfUihBBCCFGH9PR0tGrVCjdu3MCrV69Qu3Ztjc0HJfqvWgUWFhYWqFevHgDg6dOnEssItzdu3LjK6kUIIYQQog4fP35Es2bN8PTpU1y/fh3NmzeHr68vXr16pemqET1UrQILAOjbty8A4Pz582L7BAIBLly4IFKOEEIIIURXpaenw8HBAcbGxrh06RKaN2+OkJAQ3Lt3T9NVI3pILwOLM2fOwM/PD+PHjxfbN2HCBDg4OOD48eOIi4sT2ffHH3/g3bt3aNeuHVq3bl1V1SWEEEIIUYv09HTY2dkhNDQUly5dQs2aNRESEoKoqChNV43oIZ0ILFJTU5GcnCwyL0LSNqENGzbg5cuX2LhxI9LS0kT22dnZ4eDBgwCA8PBwnD17FnFxcdixYwfGjBmDmjVrYs+ePeptECGEEEJIFfj48SPs7e3RvHlzNGjQADweD3Xr1sWTJ080XTWih3QiK1Tjxo3x+vVrkW1NmjRh/88wjMi+QYMG4erVq/jss8/g4OAgdrx27drh3r17+P777zFkyBCkp6fDw8MDo0ePxvz582Fra6uWdhBCCCGEVKX09HTUrFkTLVu2hLe3NwDAyMgIJSUlYBiGTWpDiCroRGARHx+vUPn+/fujf//+MssEBARg//79StSKEEIIIUS7paenw97eHsbGxqhduza7vXHjxjh37hw6deqkwdoRfaMTQ6EIIYQQQojiPn78CDs7O7HtkydPxqpVq8RGfRCiDAosCCGEEEL0lLDHoiJbW1u0bdsWx48f10CtiL7SiaFQhBBCCCFEcTk5ObCwsJC4b8KECejbty9+//13FBUVwdjYGDweD5mZmfj3339hZGRUxbUluo4CC0IIIYQQPSZtgraFhQVOnz4NgUCAlJQUODs7g8/nY9y4cUhKSkKNGjWquKZE19FQKEIIIYQQwvLw8EBiYqKmq0F0EAUWhBBCCCGE5e7ujnfv3mm6GkQHUWBBCCGEEKLjJK2kLRAIOB2LeiwIVxRYEEIIIYTosISEBLRt2xalpaUi27Ozs2Ftba3w8SiwIFxRYEEIIYQQosN27twJHx8fvHjxQmS7tFSzlfHw8KChUIQTCiwIIYQQQnSUQCDApUuXMHXqVLHhUOnp6RIXx6uMjY0NMjIyVFRDUp1QYEEIIYQQoqMuXLiAtm3b4pNPPhELLKStul0ZaelpCakMBRaEEEIIITrq2LFj6NevH/z9/fHs2TORfVyHQhHCFQUWhBBCCCE6KjMzE05OTjAwMIBAIADDMOw+rkOhAMDKygpZWVmqqiapJiiwIIQQQgjRUbm5uTA3NwcA+Pj4IC4ujt338eNHzj0WNIGbcEGBBSGEEEKIjiopKYGRkREAICQkRGSehTI9FpRylnBhqOkKEEIIIYQQ5YWGhmLq1KmIiYkBUDaxe/LkyZyORYEF4YICC0IIIYQQPRAcHIxVq1ahqKgIANCtWze4uLhwOpa7uzuuXr2qyuqRaoACC0IIIYQQPcDj8dCgQQOVHEvXeyzu378PQ0ND1K9fH87OzpquTrVBcywIIYQQQogINzc3nZ68PWvWLFy7dg0//PCDpqtSrVBgQQghhBBCRJiYmLBDqnSRs7MzZs2apdPBkS6iwIIQQgghhIjR1RW4BQIBeDwejI2NUVxcrOnqVCsUWBBCCCGE6KDS0lLw+XQrV1FBQQFMTU0BQGTBQKJ+9G0khBBCCNFBeXl57OJ45H/y8vJgZmYGADA2NkZhYaGGa1R9UGBBCCGEEKKD8vLyYGFhobbjGxkZ6eQ8i/z8fDaw8PT01OnsVrqGAgtCCCGEEB2Um5ur1h4LW1tbZGZmqu346pKXl8cOhfL09ERCQoKGa1R90DoWhBBCCCE6SN09Fra2tsjIyICTkxPnY5w+fRqPHz9mf27UqBE6dOigiupJVb7HwsvLC2/fvlXr+cj/UI8FIYQQQogOqooei4yMDE6vzcjIQP/+/XHjxg00a9YMzZo1Q9OmTbFhwwbVVlKCij0WFFhUHeqxIIQQQgjRQVXVY8HFgQMH0KNHD3z11Vci21etWqWCmslWsceChkJVHeqxIIQQQgjRQdrcY3H58mWEh4ertkJyKt9j4e7uTpO3qxAFFoQQQgghOig3N1creywEAgGysrJga2ur8jrJo3yPhZGRES2SV4UosCCEEEII0UHqXseCa2Dx4MED1K9fX+I+Q0NDtd/ol++xIFWLAgtCCCGEEB2krT0WFy5cQPv27SXuc3BwwMePH5WsmWzleywAwNTUFAUFBWo9JylDgQUhhBBCiA7S1h6La9euoWXLlhL3OTo64sOHD0rWTLaKgYWHh4fWzLPYsGEDPv/8c4waNUrTVVELCiwIIYQQQnSQNvZY3L17FwKBQGrAo4nAQptSzkZERODEiRPIyspCTk6OpqujcpRulhBCCCFEB6m7x8LS0lKhm98VK1bg8ePH2LZtm9QyVRFYVJxjYW9vzzm7lSqVlpaCz+eDx+OhYcOGePDggdSeHV1FgQUhhBBCiA5Sd48Fj8dTqPyVK1fw999/yyzj6OiIN2/eKFOtSlXssbC2tkZWVpbazicQCHDnzh00adIEABAZGYmbN2+y+0NDQ9GiRQs8e/YMAQEBAICQkBBERUXpXWBBQ6EIIYQQQnSQuhfIU0RxcTEMDSt/Xq2JHgt1Bxbx8fHo1KkT0tPTUVhYiJkzZ6JOnToICAhAQEAAFi9eDACIiopCSEgIAKBRo0aIiopSW500hXOPhY+PDwDAyckJt27dUlmFCCGEEEJI5dS9QJ4i3rx5g5o1a1ZazsHBocrnWFhbWyM7O1tt53v69Cnat2+Pn3/+GW5ubhg+fDg6derE7v/rr7/w8uVLREVFYcyYMQAAFxcXpKSkqK1OmsK5xyI+Ph4eHh5sFEYIIYQQQqpOYWEhTExMNF0NAMCLFy/g5+dXaTlN9FhYWVmptcfi6dOnGD9+PB49eoRjx45hwIABIvt79uyJ48eP48WLF6hduza73cTERO/S4HIOLIyNjfHrr7+ic+fOqqwPIYQQQgiRk6LzIBQl74J2sbGxcgUW1tbWyMzMVEXVpCoqKoKxsbHIOdUdWAQEBGDp0qVYtGgRDAwMRPa3bdsW58+fB8Mw4PP/d+tdv359PHz4UG310gTOgYW3tzeMjIwqLVdcXIwrV65wPQ0hhBBCCNEQW1tbZGZm4ueff8bmzZullouNjRV5Gi+NugMhSedRR2CxYsUK3Lt3DwCQlJQEV1dXBAcHo3Xr1mJlTUxMYGlpCV9fX5Htwgnc+oTzHIsBAwbgjz/+wIIFC2SW+/jxI9q2bYvS0lKupyKEEEIIIRogXMvi0qVLsLS0RIMGDdCiRQuxcvHx8fD29tZADStnZWWl8jkWDx48QElJCRo1agSg8oBp+PDhEAgEItuaNm2Kfv364dSpUyLbLS0tsX//fpXWt6pwDizmzJmDPn36YObMmRg/fjy8vLyklmUYhutpCCGEEEKIhtja2iIhIQGmpqbYunUrvvjiC3bCuEAgwODBg9GvXz+UlJTIlRVKEwwMDMRu6pWVkZGBmzdvIi0tDfb29pWWlzR1wMXFBZcuXRLb3r17d1VUUSM4fwPq1KkDhmHw999/Y+XKlTAzM4OTk5NYxFZaWlpl3V6EEEIIIUR1bG1tceLECXz66aewtrbGv//+y+4rKSlBeHg4evfurVBQYWpqKpa5Sd1U/ZBbuNDd/fv32bUpiBKBRXx8vMjPeXl5eP36tcSyFFgQQgghhOgeW1tbHDlyROLCd4aGhmjcuDH+/PNP1KhRQ+5jOjo6Ii0tDZ6enqqsapURBiktWrTAjh070Lt3b7WcQxfvnzkHFjweD7dv34ajo6PMcikpKWjWrBnX0xBCCCGEkAqqapi5ra0t8vPzUa9ePYn7R4wYgc8++wyTJ0+W+5jClLO6GlhkZWXBxsYG7du3x4IFCzB37lyVHt/MzAwFBQVV2qOjKpwDCz6fjxo1asDJyUlmOQsLC4WiWEIIIYQQIltVDSWytbVFu3btpD499/Pzg7e3t1ypZoWqYi0LdUpMTISHhwcaNWoEa2trsWxPyhJmsapWgYU8OY2Bsi9PXFwc19MQQgghhJAK8vLyqmTV7dDQ0EoXQ964caPMJD4VqTOwkDa319DQUGUTzBMTE+Hu7g4DAwP8888/ImtmqIJwQT8XFxeVHrcqcF7HQpKcnBzk5OSo8pCEEEIIIaSC3NxcWFhYqP085ubm8Pf3l1mmbt26sLS0lPuY3t7eePnypbJVk6igoEBiwKXKlLPCHgugbC0KVbO2tlZ5etyqonRgER0djQEDBsDR0RE2NjawsbGBg4MDBg4ciOjoaFXUkRBCCCGElFNVPRbqEBoaqraF4fLy8iQOIVLlInnv3r1jAwt1UPdK4eqkVGCxZ88eNGnSBH/88Qc+fvwIhmHAMAzS09Nx4MABNGnSBHv27FFVXQkhhBBCCKqux0IdzMzMkJ+fr5YJ6Pn5+RIDLlXerAuHQqmLLgcWnAea3bt3DyNHjoSlpSVGjx6NJk2asGPB3r9/j9u3b2PPnj0YNWoUgoOD0bBhQ1XVmRBCCCGkWtPlHgsAqF27NmJjY1G7dm2VHldWj4WqhhclJSXBzc1NJceSRDjHQhdxDixWrFiBwMBA/PvvvxJTzg4aNAjz589Hx44dsWLFCp1dmpwQQgghRNvoco8FADRv3hw3btxQeWBRFT0WxcXFKp+wXZ61tbXYenG6gvNQqCtXrmDlypUy17FwcnLCzz//jMuXL3M9DevMmTPo2LEj7O3tYWFhgZCQEGzYsIHTEu0FBQXYtm0bWrduDU9PTxgbG8PZ2Rnh4eE4ceKE0nUlhBBC9NHff/+ts09S9Y2u91gIAwtVk9ZjoUu9ALo8FIpzYPHhwwe5ljAPCAhAWloa19MAAJYvX47w8HCYmpri3LlzuHfvHjp27IgJEyagZ8+eKCkpkftYeXl5aNmyJb7++mtYWVnhwIEDePbsGfbu3Yv09HT06NED06dPV6q+hBBCiD7asmUL1qxZo+lqEJQt0mZtba3panBWo0YNvH79WuXHVXePRUlJCQwMDJQ+jizVMrCwt7eXK1XYixcvYGdnx/U0uHr1KmbNmoXAwEAcOXIEoaGh8Pf3x/Lly/H111/j5MmTWL58udzH++233xAVFYVatWrh2LFjaN26NWrVqoVOnTrh9OnTsLKywsqVK9WWrYAQQgjRVQKBALdv31b6gSFRXmZmJmxsbDRdDc54PB4sLS1VnlZV3VmhUlJS1L6+RLUMLFq3bo2ZM2fKXLciMzMTs2bNwqeffsr1NFi0aBEAYMKECTAyMhLZN23aNABl8z3y8/PlOt6LFy8AlKU6qzg+zt7ens3VfPHiRc51JoQQQvQRj8fDzJkz8dNPP2m6KtVeZmamTvdYAECdOnXw6tUrlR5T2orkykzefvnyJS5fvozLly/j9OnTas0IBejWsK2KOE/enjZtGlq2bIk6depgyJAhaNKkCZydnQGUZYW6desWdu3ahbS0NGzcuJHTOVJTU3Hp0iUAQPv27cX216lTB56enkhISEBERAS++OKLSo/ZoEEDAEBMTAwYhhFZnbGgoIBdJVwXl1EnhBBC1O3TTz/F1q1bcfXqVbRu3VrT1am2dL3HAgCcnZ2RkpKi0mPm5eVJDLiU6QUYM2YMwsPD2Z8HDhzIuX7yUOViflWNc2DRtGlT/PLLL5g0aRJWrFghsQyPx8P69evRuHFjTue4c+cOBAIBjIyM4OvrK7FMQEAAEhISEBkZKVdgMXLkSEREROD48eMYN24cFixYAFdXV8THx2PatGn4+PEjjI2N0bFjR051JoQQQvRR+SxEmzZtQs+ePbFr1y64urrC0JDz7QThiAILyfLz8yUOVeLaC1BUVARLS0t2lExVMDIyUmj+sDZR6kowbtw4NGrUCMuWLcOFCxeQl5cHoGz59/bt22P27Nlo1qwZ5+ML53A4OTmBz5c8akuYR1jepeENDQ1x7NgxnDlzBjNmzIC7uzsMDQ3ZD9DCwgKbN2+uNP1ZYWEhCgsL2Z+FX1aBQMApU5WyBAIBGIbRyLnVSdfbpev1l0Yf26WPbQL0r1361h4hXWhXcnIynJycIBAIYGFhgfXr12Py5MlISkrC5MmT0bt3b7HX6EK7FKFN7cnMzISVlZVK6qKpdjk6OuLBgwcqPW9ubi7MzMzE2mNpaYnMzEyFz/X06VP4+/tX+XujLd8zAArVQ+lHDM2bN8eJEycgEAjw4cMHAGVfFGmBgCKEN+uyhiUJZ/5nZmbKfdyNGzfiu+++Q2hoKE6fPg1vb2+8evUK//zzDwYPHowmTZpUeoxly5Zh8eLFYttTU1NRUFAgd11URSAQIDMzEwzDqOS91xa63i5dr780+tgufWwToH/t0rf2COlCu549ewZzc3P2CbO9vT02bNiAd+/eYeXKlRKHRelCuxShTe3Jzs5GVlaWSsbia6pdhoaGiIuLU2mvRWpqKvLz85GRkSHSHoZhkJGRofC5rl+/jho1aqi8Z6UyRUVFVX5OaRQZlqWyvks+n8/OsQDKxrjt3r0bn376KQIDA1V1GqVt3LgR48ePR61atXD+/HmYmJgAAAIDA9G2bVvUqVMHffr0wc8//yw2Wby82bNnY+rUqezPWVlZ8PLygpOTk0YmUwkEAvB4PJm9O7pI19ul6/WXRh/bpY9tAvSvXfrWHiFdaFdxcTF8fHxE/tYDZcNZ0tLSxLYDutEuRWhTe4yMjCS+51xoql18Ph85OTkqa4fwmB4eHrC1tRVrj4mJicLnevPmDfr06aPSOspDuMaaNjA1NZW7LOfAwsfHB5GRkXBwcJC4Pzs7G+PGjYOhoSF2796N/v37K3wO4Q26rIxPwuFX8o4zFGaymDBhAhtUCFlYWOCbb77BvHnzYGhoiJUrV0o9jomJidjrgbIvtKYuNjweT6PnVxddb5eu118afWyXPrYJ0L926Vt7hLS9XampqXB1dZVYPx8fH8THx8PHx0dsn7a3S1Ha0h5hPVR9vKpsl6OjIz5+/KjScxYUFMDCwkJie7i8Z8+ePUNgYGCVf96q/nyVoUg9ONc4Pj4epaWlUve7uLggLS0NkyZNwtKlSzmdQzhhOzU1Ver4rqSkJJGysqSkpCAhIQEAULduXYllhNu3bNkis32EEEJIdZKSkiL1CWr79u1x4cKFKq4R0XV8Ph8Mw6j0mLJWJGcYBoWFhZg/fz6mTJmCKVOmYOrUqUhOTpZ6vMLCQoWe2KsKn8/XyftQtaZxsLOzw7hx47Bp0yZOrw8NDQWfz0dxcTFevnwpcUL106dPAUDhzFPl08yWJ4zKhGMXlVncjxBCCNEXsgKLNm3aYNKkSRg1alQV14pUJ3FxcTh69KjMMlFRUTAzMxNJsFPe5MmT8emnn7LzaSMiInDu3DkMHjxYrGxOTg6bCa2qWVlZIScnR+cyf8kdWGRlZSEjIwMA2OgyISFB5kTl3Nxc7Nq1i/OaEM7OzggLC8PFixdx/vx5scDi2bNnSEhIgJWVFTp37lzp8RwdHWFnZ4f09HQ8e/YMn332mViZZ8+eASibMK5rHyYhhBCiLrJWHHZ0dMSHDx9w+PBhdluTJk3g6elZVdWrVoqLi2XOA9U1FdcVk+bs2bMoKiqSmXG0adOmsLa2Rmpqqti+kpISODk54auvvmK3tW3bFrt27ZJ4rMePH6NevXpytED1hGtZ6Nq9qNyBxZo1a/D999+LbJO3l0CZhUQWLlyIixcvYsOGDRg1apRIruxVq1YBAKZPny7S7RUVFYVBgwahXr16OHDgAPsaPp+PQYMGYf369di4cSM7B0SosLAQmzdvBgD07NlTa8a2EUIIIeqUlpYmdc6kUHZ2tsyntz/++CMeP37MHu/KlStYu3atKqtJ/l9WVpbOr7otJHwyb2VlVWnZ9PR0tG7dGi1btpRZTtrw+Z9//llsKLy/vz+eP38usq20tBR3797F6dOn0bBhw0rrpQ7KLOinSXIHFra2tqhRowb785s3b+Dh4QEDAwOJ5fl8PmxtbREWFoZFixZxrmBYWBiWLl2KuXPnolevXli8eDEsLS2xfft2bN26FV26dMHs2bNFXrN9+3bExMQgJiYGs2bNQmhoKLtvyZIluHnzJiIjI9GtWzfMmzePTTe7cOFCvH79Gv7+/li9ejXnOhNCCCG6Ij4+Hs2bN0dUVBS7NpQ0sp4qh4aGsn9v8/PzMWTIEJXWk/xPZmam3gQWwkXy5AksMjIylBqiHhQUJLbNyMgIxcXFIttOnz6N3bt3IyQkBO3ateN8PmXofWAxadIkTJo0if2Zz+fjzp07VZIKa86cOWjUqBFWrVqFdu3aobi4GP7+/li3bh2+/fZbseCmb9+++PPPPxEYGCjWhWVtbY1r167h119/xcGDB/H5558jOzsblpaWqFu3Ln766SeMHz9eY2PqCCGEkKr0+vVrdO3aFSNHjsTx48dVMsTGzMxMI2s6VRf6sOq2kLOzM96/fy9XEp709HTY2tqqvA62trbIyMhgj/3w4UNMmTIFLVq0UPm55KX3gUVFQ4cO5Tx3govw8HCEh4fLVTYsLEzi2DohY2NjTJw4ERMnTlRV9QghhBCd9Pr1a3z22WfIyMjA3r17MXz4cLEypaWlUkcokKqnb4GFvAvBpaenqyWpTlBQEB49eoRWrVoBAB49eoRvv/1W5edRhK4GFpwnEezYsUOubitCCCGEaK/Xr1/D29sbnTp1QmRkpMQy8szBkETVqURJmaysLL0JLFxcXOQOLAoKCtTyUFsYWAhpQ+AmnLyta5SanXzy5EmcOHECERERYvu2bduGu3fvKnN4QgghhKjZ69evUaNGDdSoUQOvX7+WWEZWqllpdPWJqy7QhhtfVVGkx0JdgoOD8fDhQwBAUVGRVmTc0tXfH86BRUREBHr27IlevXph9OjRYvv/+usvNGnSBHPnzlWqgoQQQghRH2HQwOPxYGBggJKSEqllFOHm5sYuYktUS98mb79//16jdSgfVD9//hx16tTRaH2AssAiIyMDv/32G+7du6fp6siNc2Bx6NAhWFlZYd++fYiLixPbf/ToUWzYsAFr1qwRyWtNCCGEEO0iTK9et25dduHZDRs2YPbs2Zg9ezY2bNhQacaoiiiwUB/qsVAt4QrgJSUlePToEYKDgzVaH6BsQvmmTZuQmpqKNWvWaLo6cuM8efvGjRtYunQp+vfvL3G/qakpvvnmG+Tk5GDdunXo06cP50oSQgghRPUqzoEICQlBVFQUjI2NcevWLcyaNYvdp+hTXGFgoakFxvSZPgUW5ubmyM/Pr7ScvIvocdWtWzfs2bMHsbGx6Nu3r9rOIy8/Pz88f/4cNjY26Nmzp9omrqsa5x6L169fo3379pWW69atG/v0gxBCCCHaIyUlBU5OTuzPwsDi999/x4QJE1CvXj32X/kFZeXh5uaG5ORkVVeZQL8CC3kJlwZQl5EjR2Lv3r2Ijo5GQECA2s4jLx6Px37GgwYNwv79+zVcI/lwDiz4fL5cFxkjIyO5IlFCCCGEVC1hRighX19fxMTEICoqCo0bN1bq2DQUSn30KSsUIF/2MGUXx6uMsbExhg4dipcvX8LU1FRt5+Gie/fuOH78uE5kWeMcWNSuXRtHjhyptNyRI0fg5+fH9TSEEEIIUZM3b96IBBZ8Ph8FBQX4/PPPlR52okxgUVpaqhM3UZqSm5urVwv5SksaUF5VDAUaOHCgVs5nMDY2xqhRo3Ri0UnOgUXfvn2xYMECrF69Grm5uWL7c3NzsWrVKixYsAD9+vVTqpKEEEIIUb2KPRYAMGXKFAwePFjpYyuTLnPZsmW4c+eO0nXQV+qeb1DVnJyc8OHDB5ll1LXqdnkGBgb47LPP1HoOrr788ssqXZiaK86BxZQpU1CnTh1Mnz4dDg4OaNiwITp27IiOHTuiYcOGcHBwwIwZM1CnTh1MnjxZhVUmhBBCiCoI17Aor2fPnip5MqzMjW92drbEjJNEP8mzSJ6uTF6u7jhnhTIzM8O///6LoUOH4syZM4iOjhYrEx4ejp07d+pEhEUIIYRUNwkJCfD09NR0NcQUFhYiISFB09UgVUSelLPqnmNBVINzYAGUdV2dPn0a9+7dw9mzZ9nFRby9vdGpUyc0atRIJZUkhBBCiOoVFRXB2NhYbcc3NTUVS+ASHx+PBw8eoEePHlJfV1hYiLdv36qtXkS7yLNIXnp6OmrWrFk1FSKcKRVYCDVq1IiCCEIIIUSHlJSUsAvjqYubmxtSU1NF5nE8efIEd+7ckRlYFBQUIDU1Va110xavXr3Chw8f0KRJE7nKCwQCtX9uVc3Z2RkPHjyQWYaGQukGtX8zs7KyMGLECHWfhhBCCCEKePnypdqzNrq7u4utZZGcnFxpdpvCwkJ8/PhRnVXTGgcOHEBERITc5dW9noMm0FAo/aH2wCI/Px+7du1S92kIIYQQooCHDx8iODhYreeoU6cOXrx4IbLt/fv3cgUW6hyipU0uXbqk0EKCycnJcHV1VWONqp68k7fVnRWKKE+poVAFBQXYtGkTTp06hcTERBQVFYmVKS0tVeYUhBBCCFGDR48eoWvXrmo9R0hICE6cOCGyTZ4ei6KiIpiZmaG4uBhGRkbqrKJG5efnw8jIqNKb6vLevn2rlRPulWFvb19putns7GxYWVlVUY0IV5wDi/z8fISFhcmVZ1qfci0TQggh+uDx48eYPn26Ws/h5eWFxMREkW3v37+XqzfC3d0dSUlJYulw9cn169fRtm1bXLlyRe7XJCQkwMvLS421qnoGBgYQCAQyyzAMo3dzS/QR509o+fLliI2Nxb59+/DixQuYm5vj8uXLiIuLQ1xcHK5du4aJEyfC3Nwc//77ryrrTAghhFRbqlqROi8vT+2rN/N4PLFVldPT0yvtseDxePD09NT7zFDnz59H+/btFXrN27dv9S6wIPqDc2Dx119/YenSpfjqq6/g6+sLHo8HDw8PeHt7w9vbGy1atMDatWsxdepUmmNBCCGEqMCLFy/Qp08fpY+Tn58PU1NTFdSocrVr10ZMTAz7s5GREQoLCyt9nZeXl96vZXH//n00bNgQgPwBo7auPaIsHo+nsqCZaA7noVCvXr1CWFgY+7O0L0T//v21dnl0QgghRJf88MMPKnmKHxMTg8DAQBXUqHLBwcGIiopCgwYNAAB8Pl+uG0gvLy9ERkaqu3pVav369Th69Cib1alx48bg8/mwtLRETk6OXHMI9HHyNgCF3gOivTj3WBgbG8Pc3Jz92czMTOKThaKiIoUmJRFCCCFE3MOHD2FiYoIaNWqILTrH5VhBQUEqqplswcHBuHfvHgDFsj15enrqXY9FcnIy1q5dixMnTuDEiRNYvHgxAMDV1bXSBeKEBAIBDAwM1FlNjZCVcragoAAmJiZVXCPCBefAwtvbm71QAEDNmjWxe/dusXKbNm2CtbU119MQQgghBMDPP/+MefPmwdfXF69evVLotZmZmfjyyy/Ro0cP9OjRAytXrkRISIiaairK29sbL1++BFA2cdvFxUWu13l4eOhdYCEty5WLi4tIytmioiLs2LGjKqumcbICi4iICL3spdFHnIdCtWrVCt999x1q1KiB0NBQhIeH44cffkBycjI6duwIADh9+jTOnz+P3r17q6zChBBCSHWUkZEBb29v+Pn5ITY2FvXq1ZP7tQcOHECvXr3Qv39/dltVZWzk8/ng8XgoLS3F+/fv4erqWulwLoZhYGpqKtdcDF1SXFwsscemYo9FSkoKli1bhuHDh4uUy8nJUfuEe00RBhbR0dHYsmULu/3du3fw8/PD8uXLNVg7Ii/OgUW/fv2wbds2DBo0CDExMZg6dSr27t2LiIgInDlzBkDZhcHGxgZLlixRWYUJIYSQ6szPzw93795V6DVHjx7F8ePHNZb+vW7dunjy5AmSk5Pl7rEAVJcBS1vI6rEo3wuVlpaGFy9e4MOHD3B0dGS362OqWSEXFxckJSVhy5YtWLFiBTvXwszMDE5OThquHZGXXEOhoqOjsXv3bty8eZPd1rp1axQUFLCZHqytrXH9+nWMGzcO9erVQ926dTFs2DBERkbC399fPbUnhBBCqoGSkhJ2XH3t2rURGxsr92vv3buHunXrVlkWKEmaNWuGGzdusD0WlREGQLa2tvj48aO6q1dlioqKJAYWFXss0tLS4OvrK3LfBehvRiigrMdi7969CA0NRb169VCjRg3UqFGDggodI1dgMX/+fHz99dc4f/68zHLOzs7YsGEDoqOj8ejRI2zfvh1+fn4qqSghhBBSXZWfm+Du7i626Fx5OTk5yMzMZH/+/fffMWrUKLXXUZbmzZvjxo0bCvdYhISEiMznlCYrKwtZWVnKVLFKSOuxcHV1FZljkZaWhm7duuHGjRsi5fR5DQtnZ2c8evQI06ZN03RViBLkCizu3r2LXbt2Ye7cuey2du3aISMjo9LXCgQCvHnzhnMFCSGEkOouKSmJfdIvK13rqVOn0KpVK2zevJndFhcXV2UZoKQR3jjLkyq1pKQEhoZlI7VDQkIQFRUls/zx48fRqlUr/P777yqrr7pIm2Ph5OQkMnE5LS0Nbdu2RXR0tEg5fe6x8PLywt9//w0bGxtNV4UoQa7AIi0tDc2bNxfZdunSJRQVFVX62tTUVNSqVYtb7Yha6NuYVUII0XdJSUlwc3NjfzYxMRFbvToyMhK7d+/GH3/8wWZTYhgGfD7nBJAqZW9vjydPnlTaY1E+tWjDhg1l9lhkZmbil19+wf79+/H69WuV1lcdpPVYGBoaorS0lP05LS2NfZ/Kr1quzz0WhoaGaNGihaarQZQk19XG3d1d4Yli5dGNrPY4efKkSLYFQggh2q9iYOHj4yOWcnbp0qVYs2YNfH192aFSWVlZWvMEuFmzZoiOjmbneki7NygsLGQDC1tbW5FhXRWlp6ejXr168PPzU8nCgeombY5FRWlpaXBwcEBQUBAePXrEblckXS8hmiBXVqg2bdpg2LBhOHHiBGrUqMF2Ua5cuZJdPVKanJwcjWWhIOIuXLiADx8+YMyYMZquCiGEEDklJSWhUaNG7M/CCdzC1bMvX74Mf39/uLu7A/jfU+63b99qzdCZ5s2bw8HBAUDZIrvShgWVDyyAshWZs7KyJK6JlZGRAVtbW5iamso1ikLTSktLZS5uxzAMeDweG1h8/vnnmD59OszMzACUJcrRlh4oQiSRK7D4/vvvce3aNbEF8FauXCnzdTwej/0lIdrh+fPnCvUgZWRk4NChQ/j666/VWCtCCCGyVOyxCAkJwYQJE9h5BWlpaTh+/LjY67QpPWmDBg3QoUMHAICpqSkKCgqkBhblM1g1atQIDx48QOvWrcXKCgMLXSLtnsjGxgaZmZmwtbVl29WiRQucO3euimtICHdyBRYeHh6Ijo5GREQEnj9/jry8PPzwww+YOnVqpT0W2dnZWLNmjUoqS5QjvIgbGhoiNzdXrkV2nj59iuPHj1NgQQghGlRxCMwnn3wiljGoPOEcDG0ak29kZISNGzcC+F/9JPVClJ9jAfxvAndlgYW5ubncf9u0kXCCu62trVbNjSFEEXIvkGdiYoKePXuyP3///feYPn06nJ2dZb4uOTkZq1ev5lxBojp3795FaGgogLK1SSpOyJfk1atXOjFulRBC9FlJSYlcY/OFPD09kZiYiLdv37LXfW0ia1XtikOhGjVqhH379kksWz6w8Pb2xps3b1C3bl2V17cqeHt74/Xr1wgICNB0VQjhjHM4vGPHDrkmhNna2mLHjh1cT0NU6MaNG2jevLlc6fuE4uLi8OHDBzXXjBBCiCp5enri7du3WjUUqjzhUChJKgYWTk5OUtPblw8satSooROZoaSpVasW4uLiAFDSG6K7OAcWQ4cOFfnFl8bU1BRDhw7lehqiQrdv30aTJk0UDixq166N3NxcNdeOEEKIJAKBQOG5il5eXkhISEBqaiocHR3VVDPuJKXLFao4x0KWij0WuhxYCDN9lZaW0jAoorPom1tNMAyDnJwcWFlZia3wKcv79+8REhLC5kQnhBBStYQZghQh7LEApE8W1iRZQ6EqzrEApD/B16fAombNmoiPj0d6ejrs7e01XR1COKHAQk9kZWXJ3H/v3j02LSFQlupP2kW9PIZhUKNGDQosCCFEQypmhJKHl5eXVs+PU2QolJCk4ELSHAtdZW5ujry8PE6BJCHaggILPTF27FikpKRI3b9t2zaMGDGC/blp06a4cuWKzGMWFxfD0NBQ5MkXIYSQqsUlsHBzc0NMTIzWpmJVdCiUpaWlxCG5mZmZbGYpYbpWXUeBBdFlFFjoicGDB+PQoUMS9+Xl5SE+Pl6kx2Lw4MHYuXOnzGO+ffsWNWrUYMfqEkIIqXpcAgsjIyMkJCRozeJ4FSk6FMrR0VFiIpHS0lJ20V59YGNjg1evXlFgQXSW/vw2VnOdOnXCihUrJHYVHz58GH379hXZ5uHhgcLCQnz48EHqxL64uDjUqlVLrEv95MmT2LBhg9iFPzMzEydOnJArWxghhBD5vHv3Dm3atFH4dQ4ODlqZEQqofChUxTWyhIFFzZo1ZR7X0NAQxcXFCqXm1Sa1atXC3bt30apVK01XhRBOKLDQEwYGBmjcuDEuXbqER48e4dy5c2xWiZSUFPz7779irxk8eDD27t2LyZMnSzzmq1ev4OPjAxcXF3ay96JFi1BQUIBjx47BzMxMpPyyZcvw6NEjtGzZUrWNI4SQaiwuLg7Dhw9X+HWenp5a3WOhyBwLaT0WFbm7uyMpKQk1atRQST2rmo+PD7Zv344ePXpouiqEcKK2wCIvLw+7d+/Gp59+KjIEh6hPv3790KdPH8ybNw8nTpyoNF1dly5d0Lp1a9y7d09ku4GBARYuXIi4uDg0bdoUBgYGEAgEEAgEuH79Os6ePSvxeEFBQXj48CEFFoQQokLJyclwdXVV+HX+/v7w9fVVQ42UZ2JiIjWNuaQ5FvIGFtbW1sjOzlZJHTWhVq1auHfvHg2FIjqLc2Dh4+ODyMhIqV/+7OxsjBs3DoaGhti9ezf69+/PuZJEPl5eXoiNjZW7C9jIyAgXL14Ue2qUmJiI0aNHw8LCArVq1WK337p1C82aNZN6vODgYPzzzz/cKq9F8vLycOvWLbRt21bTVSGEEDAMwyll7JIlS7R2PQRZPRbS5lhER0eLbBMIBGLtMzc3R35+vmorW4Vq1aqFvLw8CiyIzuJ8xYmPj0dpaanU/S4uLkhLS8OkSZOwdOlSrqchCjIwMFCovJmZGezs7ET+BQUFYdKkSfjvv/9gZWUFALCwsMDevXvRs2dPqcdSdNXT+Pj4StPkasL9+/fRr18/nX7qRQjRDyUlJQpf14W0NagAVDMUKisri80IJWRmZoa8vDzVVrYKeXp6wtDQkAILorPUetWxs7PDuHHj8OrVK3WehqhBly5dcPPmTfZnT09PXL58GY0aNZL6Gj6fD4ZhpC5kVNFvv/2Gv/76S+m6qlpsbCw+++wzrFu3TtNVIYRUcwkJCVo7AVsZJiYmUrNCyTsUqvwaFkLCtSC0UWlpaaVBoqGhIerVqydxHQ9CdIHcQ6GysrKQkZEB4H+L1CQkJEh94gAAubm52LVrl9gkX6Ibyg+D8vLyQrt27Srtjndzc0NSUhLc3d0rPX5cXBzS0tI4TUpUp9jYWEyZMgVz5sxBeno67OzsNF0lQkg1JczOp28U7bFwcHDQ2cBC2LMib7aq3bt3V0GtCFEPuQOLNWvW4PvvvxfZ1rhxY7leO3DgQMVqRbRO165d5SoXFBSER48eyRVY5ObmauVQqBcvXsDPzw/Tp0/Hzz//jB9//FHTVSKEVFPC7Hz6RtE5FiYmJigqKhLZJi2w0KY5FkVFRfjqq69w6tQpFBUVyRVY1K9fvwpqRoh6yB1Y2NraiqRve/PmDTw8PKR26/H5fNja2iIsLAyLFi1SuqJEs/z8/OQqFxwcjHv37qFTp05ylbe2tkZmZqZWrX2RnZ0Na2trtG/fHmvXruWckYUQQpQVFxeH0NBQTVdD5SpbeVueoUCSAgszMzOtWn07KSkJOTk5AKDT62sQIi+5A4tJkyZh0qRJ7M98Ph937tyBs7OzWipGdFNQUBD27NlTabmcnBxYWFigSZMmuH37Njp27FgFtatcxfkhc+bMwbJly2i+BSFEI/R5KJQicywk0YWhUImJiWwAVVxcDGNjYw3XiBD14jx5e+jQoTR3gohxdnZGSkpKpeXi4uLg4+OD5s2b48aNG1VQM/mkpaWJrETevHlzJCcn4+HDhxqsFSGkutK2Hl1VUXSOhVD5hz+6EFi8e/eODaCox4JUB5wDix07drCpSAkpj8/ny0xFDJSNG65VqxZCQkIQFRVVRTWrXGxsrNiwr/Xr12Py5Mla1b1OCKkeuKxfoQsqGwol6cm+ra2tyHU4PT1d6+dYlO+xkHeOBSG6TOUrbzMMg+3bt+PevXvw9vbG6NGj9fJpC5HO19cXr169Qu3ataWWiYuLQ1BQEExMTFBcXCz3mFp1e/HihVi9nZ2d8eOPP+Lzzz9H3bp12e1jx44VSb/79u1bvHr1CmFhYWqr38GDB/Hll1+q7fiEEO2Rl5entyMDZKWbBSQHVI6OjkhNTWWDCWlzLLSpxyIxMZHtZaEeC1IdcO6xiIyMhIGBAQwMDLBp0yZ2e//+/TF69Ghs2rQJM2fORJMmTbQy8w9RH2FmKACIiYnBu3fvxMqUz3TSv39/bN26tcrq9/fff0tda0NSjwUANG3aFMePH8eiRYuwaNEizJgxA9OmTUNqaipbZv78+WpdlyMtLQ3Dhg2DQCBQ2zkIIdpDX+dXAGXrNVTWs11RxbUsMjIyxNKBa+NQKGHyD5pjQaoDzoHFwYMHYW9vjz179mDAgAEAgAsXLuDQoUOwsLDADz/8gPnz5yMxMREbN25UuqJnzpxBx44dYW9vDwsLC4SEhGDDhg1K3WT9/fff6NmzJ9zc3GBiYgJXV1e0aNECM2fORFJSktJ1rq6Cg4PZwGLt2rVYtWqVWJm3b9+yiz4NGDAAx44dQ25uLpKSkhAbG6u2ur1+/RrffvstVq9eLXG/tMACKFvw0c3NDW5ubvD19cWaNWswcuRI5ObmIiYmBrm5uXLNL+Hq1KlTMDExYc+Rnp6O3bt3s//Onj2rtnMTQqqePgcWXFQMLDIzM8VW3ta2wKL8HBnqsSDVAeehUP/88w+WL1/OBhUAsG3bNvB4PPaGCwCcnJywfft2zJ49m3Mlly9fjlmzZqFbt244d+4crKys8Pvvv2PChAk4e/Ysjhw5AkND+ZtSWlqKESNG4Pjx45gzZw6WLFkCS0tLPHnyBLNmzcKKFSvQsWNHuLm5ca5zdRYYGMjeuL9+/RoMw4gNdSopKWEvsAYGBhg3bhy++uorNk95RESEQmOLCwsLcf36dfZnBwcHibnAd+zYgV27dmH79u3YtWuXSAploCw1oLxD9xo0aIBJkybh888/B8Mw2Lp1K6ZOnSp3nRX1999/Y8iQIUhISICrqyv++usvvHz5kk1FuWLFCjRp0kRsaABRnffv38PFxUXT1SDVRFxcHPz9/TVdDa3h6OiI//77D5aWlgDKHq5UTHnPNbBISUmBk5OTWue00BwLUh1wDixiY2Px6aefsj+XlJQgIiICVlZWGDx4MLu9Q4cOWLhwIecKXr16FbNmzUJgYCCOHDnC/lIuX74c6enp2Lp1K5YvX465c+fKfcxZs2Zh3759uH79Opo0acJur1mzJurUqYNWrVppxXh/XWVlZYWcnBy8efMGNWrUQMOGDXHixAn07dsXgHhKVwDo1asXDAwM0K1bNyxfvhwnTpxAjx495D7n3r17cfv2bQQEBAAA9u/fjxs3bogEnKWlpbh27RoWLlyITz75BDt27MD9+/dFjjNhwgSF2tq+fXs0bdoU//33n9xrfXCRl5eH/Px81K9fH2/fvsUnn3yCuLg49O/fHw0aNABQlsL39OnTIsF+dVJUVMQOz1SHvLw8BAcH4+XLl5S4glSJV69eoXPnzpquhtZo2bIlXr9+zV63hQ8wy6ts7oY0EydORN++fdG7d29lqykxgGAYhoZCkWqBc2BhYmIicoN47tw5ZGZmYtCgQSK/OCYmJkp1SwoX15swYYLYL+q0adOwdetWrFixAlOnTpVrktuzZ8+wZs0afPnllyJBhZCvry8Ng1IBExMTnD59Gu3atUPnzp0xbNgwNlBISUkRW/+Ex+Ox+ydOnIiePXvis88+A1B2kS4tLQWfL33k3vXr1/H999/Dw8MDQFnPw9OnTxEUFMSWOXfuHDp27AgejwdLS0uFgwhpLC0t2bqqy7///otOnTrBy8sLz549AyA+TKJbt26YMGFCtQ0sduzYgWvXrmH37t1qeer47t07ODg4YN26dZg3b57Kj09IRcKHM6SMi4sLpkyZIrMMj8eTOodOlpycHGzevBk9e/ZU+uHEunXrULt2bbRt2xbW1tYoKipCcXExDYUi1QLnORa1atXClStX2J/Xr18PHo+H/v37i5SLiYnhvGpxamoqLl26BKDsyXBFderUgaenJ7KyshARESHXMX///XeUlpYiPDycU52IfAICArB582a0bduWXYF9wIABGDBgACZPnowvvvhC6mstLS0xZswYDBo0CAMHDsS4cePQoUMH7Nu3T+ofjHfv3rFBBQCJaWz/+OMPkd40dTAwMEBJSYnKj3vp0iV07NgRnp6eePv2LYD/rRAu5OjoiJycHKkpHPVdfHw8AGDz5s1qOX5iYiKGDx+Oa9eu4ePHj2o5ByHlaUu2vOqAz+ejV69e2Ldvn9LHysnJwblz55CYmAgPDw92zQ4KLEh1wDmwGDhwICZNmsQ+XT5z5gy8vLxEbtgzMjKwZMkSNGvWjNM57ty5A4FAACMjI/j6+kosIxz6EhkZKdcxz507BwDw8/PDvn370KZNG7i4uMDNzQ0dOnTA3r17OT3tIKKCg4MhEAjY8ehTpkzB4cOH2X9du3aV+fq+ffvi8OHDOHToELZt24azZ8/izZs36N27N16/fi1SNj09XSwzSMXAgmEYvH//Hu7u7ipqoWQVJxeqSlJSEjw9PeHl5cUGFpK0b98eFy5cUPn5dUFCQgLWrVvHfldUTRi8Tpo0qUqzmJHqif4OVb2vv/4ax48fR/fu3dG9e3e0bt0a//77r8LHKSgowJUrV9hrhnDNDppjQaoDzkOhxo0bh2PHjmHDhg0AynJHCydvA8DixYuxatUq5Obm4rvvvuN0jpcvXwIomwAubRiMcIK1sKwspaWlePz4MYCyeRavXr3CsmXLEBISgoSEBCxevBiDBw9GREQE9u7dK3M4RWFhocg4TmFKXYFAoJF0oAKBAAzDaE0q0tDQUAwYMEDp+gjbZWBggJkzZ+L58+eYNGkSm6bwwIEDuHHjBpo0aSJyLh8fH7x48YLd9vTpU/j7+6v9/XFyckJycjI71Euez+X+/fuIj49Hz549pZbJzs6Gubk5+//s7GyYmZmJHbdHjx4YOHAg1qxZgwULFqBly5bKN0oCbfu+AWUBpo2NDSZOnIjt27djwYIFCr2+sjYlJCQgNDQUzZs3x6ZNmzB9+nRVVFvttPGzUoa+tUeoYrs+fPgABwcHnW+nrM9L0e2KnlfRsoaGhjh06BC7/dGjR9i9ezfatWsnUray+hUUFMDBwQG3b9+Gr68vnj9/jvz8fBQWFsLQ0FArP1N9+73St/ZomiLvI+fAwszMDFeuXMGVK1eQmpqK5s2biwxF6dChA2rWrAkAlT6dlkZ4sy5r7oTwZkueVZEzMzNRXFwMALhy5QqioqLYBc4CAwPRqlUrBAUFYf/+/QgLC8Po0aOlHmvZsmVYvHix2PbU1FSNDEURCATIzMwEwzAy5yJUFWtrawwfPlzp9KsV22Vra4tff/0VQFmWpOXLlyMvLw8dOnQQO1dRURGSk5PB5/Nx/PhxhIaGqjUdLFD2fXz+/Dk7/E+ez2XPnj3Izc1FixYtpB63qKiIrXtRURHu3r0LFxcXsfaYmZnhyJEjuHr1Ki5cuCBzkUJlaNv3DSh7X1JTU1G3bl0sWrQIX3/9tUJjpStr04sXL9CyZUv2OvLmzRuYmpqqsglqoY2flTKUbc++ffswcOBANdRMORXbdf/+fTg7O6v9mqVusj6v8tc1ebbLq7CwUKHXp6enw9TUVOw1jo6OePDggch2eb5/6enpaN26NXbu3IlVq1ZBIBAgMTERaWlpKCkp0crPlK4TRJbs7Gy5yyq18jaPx5O6ynDLli3V9rSUq/KTyFu3bi2yajJQdlP49ddfY86cOVi/fr3MwGL27NkiqUWzsrLg5eUFJycnsbzaVUEgEIDH48ns3dFFsto1fPhwdO7cGaWlpVi6dKlYto169eohKysL/v7+iIqKwtixY9W+CryPjw+KiopEeiwq+1xiYmJgYWEhNqG9PGNjY3a/iYkJ0tPTERgYKPU1devWxe3bt2UeUxna9n1jGEbkPQoPD0d0dLRCk+ora1NGRgaCg4NhYWGBNm3aIDY2VuRJprbSts9KWcq2Z/Xq1Rg4cKDafje4qtiujIwMBAUFaV09FSXr8yr/OytUWloKU1NTpdot6biypKenw8vLS+JrzMzMYGtry/59kef7x+Px0LdvXyxZsgRBQUG4ceMGLCwsYGpqChMTE638TOk6QWRR5CGaUoFFeZmZmezYby8vL5XcwAlv0PPz86WWEQYL8pyvfM9HYGCgxDLCNQEeP36MvLw8tkekIhMTE4mT6vh8vsa+xDweT6PnVxdZ7Zo2bRqWLFki8UsfGhqK+/fvo3bt2sjNzRWbh6EOrq6uePDggUhdZdU/KysLVlZWyM/Pl/q5CSdwCve7urri9u3baNeundTXeHh4sL016sLl+1ZSUoLIyEg0b95capn379+joKAA3t7ech83NTUVzs7ObF2GDRuGqVOnKpykQVab8vPz2TSzHTp0wNGjR9GhQweFjq8p+nZt4NqerKwsJCUl4cmTJ5yTiqhT+XbFx8ejVatWevGZSfu8jIyMIBAIRNKCFxQUwMzMTKl2C88nr7S0NJHrR3mNGjVCdHS0SBbJyr5/hYWF8PPzQ7169eDh4QEzMzM2u2H5a7m2oesEkUaR91DpdzsiIgItWrSAg4MDGjRogAYNGsDBwQEtW7bEmTNnlDq2cMJ2amqq1PFdwtSw0iZ3l2dra8vegNrb20ssI7xxYBgGGRkZilaZVLHPPvsMR44ckbgvJCQEhw4dwvr169GwYcMqqY+iQxeuXr0qsh6MJCkpKSKLsnl5eeHKlSsyV+S1tbXVyu/v7t27K10s88SJE9i7d69Cx3379i08PT3Zn93c3JCfn4/c3FxO9axMo0aNcO/ePZUfNzY2ll0kkqjes2fP0KxZMzx69Egj509OTpY7o1h1WHVbOKm5PFVkwuLz+QqNCRcujidJixYtcOPGDYXOX1BQABMTE1y+fBnGxsYwNTVFYWEhrWNBqgWlAotly5ahW7duuHnzJjtRRjhZ5saNG+jatSuWLVvG+fihoaHg8/koLi6WOjn76dOnAIDGjRtXejwDAwN2Neb3799LLCPczuPxaAVjHcDj8WQOB/rqq6/g6OiISZMmVUl9FA0szp8/j/bt28PCwkLqTXBycrJIYOHp6YmoqCiZ+e3VuXosV4WFhdi3b1+lXaqvXr1if6/l9fbtW3h5eYls++yzz3D27FmF6ylJxQw9BgYGsLCwYOeBqcrUqVMxY8YMlR5TkoyMDHa+WXXy9OlT9O3bFw8fPtTI+Tdv3oy+ffvK9d4nJSWxyUn0lfCGuzxVBBZmZmYyRzpUlJqaKjWwaNq0KW7evKnQ+QUCAQwMDODg4ADgfwEUpZsl1QHnwOLSpUuYO3cufH19sXLlSly5cgXPnj3Ds2fPcOXKFaxcuRI+Pj6YN28eLl++zOkczs7O7ByO8+fPi+1/9uwZEhISYGVlJffqpMLMOw8ePJC4X5g1qkGDBlKHQRHdwOfz0adPHwwaNEjkxlydHBwckJaWJnf5J0+eoG7duqhRo4bUFKnv378XGbYhHAusa0++tmzZguHDh8Pc3FzmU/m4uDiFF6lMSEgQCyy6d++O48ePc6prRWlpaexNglDTpk1x9+5dlRxfSDhUYv/+/So9bkW//PKLyDpE1cXTp0/Rtm1bvHv3TiPnf/jwIYYNGyax166oqAhJSUlITExEYmIiSkpK9H4Ih3B9h/KET/uVYW5urtDCvLICC1tbW7mSw8gibCelmyXVAeer1po1a9C2bVtER0dj6tSpaNWqFWrXro3atWujVatWmDp1Kh49eoSwsDCsXr2acwUXLlwIANiwYYPYwmOrVq0CAEyfPl0kCIiKikJgYCD69u0r9poxY8bAwcEBd+/eFeveLCwsZDMOTZs2jXOdSfVlYGDApsKtzLt37+Di4gIejwdvb2+x9TmEkpOTxQILeYZISBpmoEkRERH46quvZAZRAJCbmwtTU1OF8vhXHAoFlM0zef/+vUoWLBQudFVe3bp12VXQVSEpKQmurq5YunQptm/frrLjSpKRkaFw8KYPnj9/Dn9/f/B4PI2koSwsLMTgwYPx7t07kfVoSktL0b9/f6xevRpLly7FkiVLZC4iqi8kBRaFhYVKZ1vjEljImlDt4uIidZSDPGgoFKlOOAcWN27cwA8//CDzAmBiYoLvv/9e4fGJ5YWFhWHp0qV4/PgxevXqhaioKDx//hyzZs3C1q1b0aVLF7GnP9u3b0dMTAwOHz4s1jNhb2+PP//8E6ampujTpw8OHTqEN2/e4Pr16+jatSsSEhIwceJEDBo0iHOdCZHHiRMn0KNHDwCotMeifI+Lt7c3RowYUenxXV1dkZycrJrKqoCBgQEMDAzg4+ODV69eySzr7u6u0FNlST0WAPDpp5/i6tWrCte1oooruwNAnTp1FB6yJUtUVBRCQkJgaGgILy8vpW5kKlNdA4v8/HyYm5vD29tbLYsoylJ+SOPnn38u0gu/aNEi9OzZEz///DM2bdqEzZs3Y9SoUVVaP00wMTFRy1Aoc3NzlQ2FAsoWfFVmXg4NhSLVCefAQphetTLe3t5Kj0OeM2cOTp8+jfz8fLRr1w6NGjXCP//8g3Xr1uHEiRMiGSWAslWbHR0d8emnn6JevXpix2vfvj0ePHiAjh07YsqUKfDz88Pnn38OIyMjnDhxAuvWrVOqvoTI87T9n3/+YdOhKtJjYWZmhiFDhlR6fDc3N628eaxVqxbi4uIk7svOzoaFhQUCAgIU6g3IzMyUmOa5b9++WLp0KXr06IEePXqgdevWCt1wCCUmJoqt2l6zZk2p7eBCGFgAZYkH1DE5XCgzM1MrvxvqVFJSwq5rouyNIhf37t1jP9+2bdviwoULAIA7d+4gKSlJrt9pfaOuoVBmZmYK9Vjk5OTA0tJS6n5lvy/CdlJgQaoDzulmnZ2d8fDhw0qDC+EiP8oKDw+XO3VkWFgYUlNTZZbx9/fHzp07la4XIRVZWloiJyeHzTAmSWZmJjsBGJAdWFTssZAXl8Din3/+gbOzs9gaL8rKy8tj0z37+Pjg2rVrEsvFxcXBx8cHAQEBePr0qULrREiasO7n54d///2X/XnatGl48+YN6tSpg7dv3+LKlStyLZb27t07NGjQQGSboaGh3MPe5PHgwQN2bZyQkBBcvnxZ7rljisrNzWW/G6WlpejTpw/blqKiImzZskVmcgBdJPxuAUBQUBCuXr2Kbt26Vdn5o6Ki0LZtWwBlvYkpKSlgGAa//fYbZs6cWWX10Caurq6YOnWqyEOBrKwsDBgwQKnjKjoUCpCd8CIoKAh//vkn5/oIh0LRHAtSHXAOLNq1a4epU6ciODhYanARFxeHadOm6Uyud0JUwcXFBTExMfjjjz+QlJTEdu0PGjSIXYU+IiICXbp0YV8ja4Jgfn6+zNXnpXFzc6t0yFFFZ86cga2trcoDi/JjmGvWrIn4+HiJ5YQpNgMCAuROVy1cCEkewgCuTp06iIqKwq5du+QKLCTNsQD+92RUFYke8vLy2ECzQYMGcvWcXrt2DW/evMFXX32FZ8+e4Z9//pErA5qxsTGbhezdu3dwdXXF5s2bAQDbtm2rNOuYLnr69CkCAgIAlN0ofvPNN2x2KD6fjxUrVoj1SgFlKZIlfRe/++47tgdCHg8ePMDkyZPZn+vUqYO7d+8iKSkJtWvX1sicD00bO3Ysxo4dq/LjcgksZFF0WGnFHuvyPRY0x4LoO86BxaxZsxASEoKAgAB0794dTZo0YW8c3r9/j1u3buHkyZMAUG2fxpDqydXVFePHj8fatWsRFBSE1NRU2NnZoX///ujSpQt4PB6OHTuGX375Ra31cHNzw3///afQa169eqWWVLXlxzDLSq0bFxeHoKAgeHt7Sw0+ZB27MuV7huLi4vDgwQMIBIJKs++8f/9eYs9rnTp18Pz5c6XXSfnw4YNI1ilLS0u51uA4cuQIiouLsXXrVtjb2+PDhw9yBRYMw7Cfc8X1EmrVqoXo6GgOrdBu9+7dY7MM2tra4vbt22wvzfXr17F161Y2WYhQamoqDh48iD/++ENke3R0NP766y+FAovygSNQNiT3m2++qbJU2NWJInMs5Bm2yuPxlJrwT3MsSHXCObAICAjA/v37MWjQIPz55584ePCgyH6GYWBhYYG9e/eiTp06SleUEF0xadIkTJs2jV1VNi8vD7a2tmjQoAHu3r0LS0tLmJiYiN2oGhgYoKSkRGzOEFdchkIJBAL2nypTXcp78//q1St0794dBgYGcv8Rv3fvntgwJWm8vb1x584dAGU31K1atcKTJ08QFBQk83XSPhfhkC1lA4t79+6J9RLZ2toiPT1d5orxsbGxOHr0KHJycmBtbY2RI0ciJSVFoeGn5YcIAWVD1Y4dOyax7OPHj+Hj48OpB02THj58iDt37mDOnDnstvJt6NixI1asWIHS0lJ2HgYA/PTTT5g1a5bY+PtPPvkEy5cvl3nOy5cvs+Pyi4uLxT7HsLAwjBgxAr179+bcLiKZInMssrKyJM7PqqhmzZp4/fo1vL29Ky1b8eEMzbEg1YlSdw49e/bEo0ePMH78ePj7+8PExAQmJibw9/fHhAkT8PDhQzbrDSHVhZmZmcQ/HiNHjsS2bdvwww8/YP78+WL7PTw8sGfPHpw4cQInTpzAw4cPkZ+fzzn1opOTEz58+MD+XFpaioiICPb4Z8+eFXlaJ5wHIbxZVqWKgYW1tbXEpA7lF7qzsLBATk5Opce+fv06mjdvLlc9atSowfZYvHnzBv369as0a11ubq7UG2lVvVeSght5JnALF+KysbEBj8dDUFBQpYu/CXsrzM3NkZubi1evXon0WHh5eYmkQi1v0qRJuHXrlpytUo/U1FSFJuBnZWVh8uTJ2LZtm9SgncfjoWPHjjh37hy7LSEhgQ0+KzI2NkZRUZHUp9137tzB2rVr4efnBz8/P9StWxc//fSTSBkbGxs8ePBA54I0XaDIUCh5H3oEBQXJNYFb0neC5liQ6kTpR5I1a9bEL7/8gpiYGOTl5SEvLw8xMTFYt24datasqYIqEqIfAgICEBcXB0tLS/j5+YntnzRpEkpLS5GSkoKUlBTMmDEDFy9eFMkIpQg+ny/y1D8yMhLbt29nj79582aRdMwvXryAv78/WrRooVSKaEkq/vH28fGRmFGppKSE/cNbr149dsFKWR48eCB3j4WdnR3S09PZc7Vu3brStsbExEjMLgeoLuVsbGys2HciJCQEUVFRUl9TcfgUIF/2moKCApiZmbE9WhWHQhkaGkpc+yM9PR3R0dEqDzoVtXbtWnaYrTwOHDiAMWPGVNqLM3ToUOzYsQNA2Xdj7NixWLJkidTynp6eElMip6WlYcaMGdi+fTs+++wz9p+kOTqSthHlqSOwCA4OlmvFdknzKMoPhaI5FkTfqWbMBSFELkuWLJGa7MDf3x/+/v7sz59//jnatm2rdIYUoaioKAwbNoydQF6jRg2cP3+eHcYjnNzavHlzzJ8/HyNHjlTJeQHxP97CcfzlF7Wr+KRPeGPdtGlTqcctLS1FaWmp3H+shUMUhOdyc3OrdFLmw4cPpQ6VsrKyQmZmpshq67a2tiLDaeTx5s0bscnSn3zyCTZs2CD1NY8ePRKrlzzZazIyMmBjY8MGFpKGW/F4PJF5GABw6tQpjBkzRuOBxePHjxVa4+TMmTPYs2dPpeVcXV3RoEEDDB48GFZWVhg4cCACAwOllhd+PysGB1u2bMGsWbNkDmEj6qXIHAt5A4t69erJ/H0UKigoEOtlpqFQpDrhHFiUlJRg8+bNYBgGJiYmGDNmjMj+pUuXom7dutVi9VBC5NW4cWO5y7q4uGDXrl0KrUBdUfl5G1FRUejVqxe7r1WrVvj111/ZVeafPn2Krl27wt3dXeVrHFT8492uXTt8//33bC5/oa+++or9f0hICI4fPy7zuE+ePJHamyCNgYEBkpKS2CfYdnZ2+PjxI2xtbSWWf/ToEUaPHi31eOHh4fjuu+8AlA0n8/Pzw9KlSxWqU2lpqdgwHSsrKwgEAqk59h89eoTg4GCRbfJkr8nMzBQJLADxMeHClYbL95adPHkSv/zyi8z3oiqUlJRIHapVUVZWFvh8vsw1CsqbM2cO7t27h8jISJHvoiQhISE4c+YMPv/8c5HtN2/eZNMGE81QpMfiw4cPcHR0rLScjY2NXGtySQssaCgUqS44BxZHjhxhs1l88sknYoHFgwcPMH/+fAwYMAC7d+9W6URQQqoLRQIRSby9vfHy5UvUqVMHSUlJcHNzY/eZm5ujuLiYfYr29OlT9obIzc0NL168QO3atZU6v1BaWprIsJ1atWqxw06kcXNzq/TJtCLzK4Tc3d3x33//sROWGzdujDt37khNix0bGwtfX1+px5s4cSL7f4Zh0KlTJ4WeTBYXF0sd+9+5c2f8888/Eif4Pnz4ED179hTZJgwQZE2+z8jIgK2tLdzc3BAVFSVxMTLhIobCwCI/Px95eXlwcXFR6dodisrOzoaVlRUMDQ2RnZ0NGxsbmeUrpnWWR6NGjeRKt1y/fn2sWLFCZFtBQQF4PJ7SC7wR5SgyeTsjI0MkeYGyx5W0wB9lhSLVCee7/aNHj8LNzQ3Xr1/H7du3xfYfPHgQp06dwpkzZ7B9+3alKkkI4aZLly44efIkCgsLJQ4Xaty4MSIjIwFAZFG/GTNm4IcfflBZPYSTjBXB4/FgZGSEoqIiqWVu3LihcGBRo0YNXLp0iZ1XEBgYKHN4j6TeBFl17tq1K06fPi13fV6/fi11Plr37t2l9tokJCRIHKMvzF4jTfkeixs3bkg8t4+Pj8gaKP/88w86duwIQPFVjVVJ2EPVqFEjiX93Kjpx4oRYj4KqmJmZiQ234fJ9JKqnSI+FMNCWR4MGDSpNxVxYWCjWYyEMLADQQ1ai9zh/w2/fvo2ffvoJzZo1k1omPDwcP/74I7Zs2cL1NIQQJbRt2xYXL17E48ePJc4TaN++Pc6fPy+2yFydOnVgYmIidbJiaWkplixZovan10FBQSITuG/duoWuXbuie/fu6N69O96+favwquTe3t4igYWszE5paWmwt7dX6PiDBg2Sa0y/0IsXLyRO5gfKem0+fPiA4uJike3C+Q+S1hypbAJ3ZmYm22Nx/fp1kYnbQsIeC6G9e/eyc32Ea3dowsOHD1GvXj2Ehobi5s2blZZPS0tTKPWuopydnUWGDZ4/fx7t27dX2/mIfNQVWMiTqU3SUChh+mxlhrUSois4D4VKTEyU68lM27ZtaYE8QjTE2NgYtra2iIiIkLiYV5MmTTB+/HjExMSIDfeZN28evvzyS5E5DPPnz0etWrVw7949XL58GYsWLVJ4PoEiQkJCcPfuXXZoysWLFzFr1iy0bt2a8zG9vb3x5MkTdviDp6en1DH7kuYxVMbR0RHGxsZITk6WK6NXbGysyKT9itq1a4cvv/xSZDJwUVGR1OEbjRo1wqRJk3D06FEAZYvtzZo1i92fkZEBNzc32NnZITMzU+JxymftSkxMhLGxMTsOXVVrd3Dx6NEjjBs3DsbGxnL1hKs7A094eDhOnTqFUaNGAShbj2Tx4sVqPSepnCKTtxUJLBo1aoS//vpL5tojkgILQqoTzoGFiYmJ2FM0SUpKSjQ6JpeQ6q579+4YN26cxNSlRkZGuHr1KgoKCsTGq3t7e+Pff/9FYWEhgLKsUjt37sTixYtx4cIFLFq0CBcuXMA///yDzz77TOr5pQ3DkkdISIjIOPa4uDgMGjSI07GEvL29YW5uzj7J5vP57JNEhmGwbt06ZGZmAgDu37+PsWPHKnyOVq1a4c6dO+jWrVulZWNjY2XOA5g6dSqGDRsmtl3a/IImTZrg1KlTbKrh7777TiTIyczMRN26dcHj8eDq6iqxx8LJyQkpKSkAgF27dmH48OHsvoCAAPz999+VtksdhGtupKWlIT8/H4sWLULdunXRr18/sbIVs1qpQ3h4OIYNG4ZRo0YhIyMD5ubmCg/5I6pnamqq8gXyAPnmfVFgQao7zkOhAgMDsXPnzkrL7dy5U2bKPkKIeoWHh8PExEQsnamQpaUlHB0dJU4qtLKygqOjIxwdHdGhQwd2+MmNGzcQGhqKCRMm4J9//pF5fnmzrkji7e2N+Ph49ud3797B3d2d07GE3Nzc4O/vL3LTaW1tjczMTMTHxyMyMpIdarVw4UJ06tRJ4XPIs56EUGWr+fL5fPYzKP9P1iRQe3t7tly9evVEhjUJ080CZesoSJpjwePxkJ+fj99//x3nzp0TGd6jqrU7uCg/V2fHjh3o3r07du/eLbWsusezW1tbg2EYZGdnY+3atSIBGNGc8g8LKqPo98TY2Jh92CKJrMBC3YEuIdqAc4/F4MGDMWHCBOTn52PChAli2WOeP3+O9evXY9OmTXLlfiaEqIe1tTVu3Lih9B81Pp+PmjVrIiYmBgzDwNTUFI6OjkhISJD5OnnzxEvC4/HY8cnCmwVlbxb5fL7YAmsBAQF49uwZrl69ii+++ELisDFFBAUF4bfffpOrrDAdsLr4+vqKTMQWTt4GgD///FPqTdCqVasQHx+PDRs2iLznVlZWSElJwdmzZ9ltn3zyicJzURSVkpIi8j1ydXWFu7u71B6C0tLSKpko27lzZ+zfvx+RkZFYuHCh2s9HNCs4OBhPnz6Vuh6RpKxQwP/WhiFE33H+azZ69GgcPnwYGzZswMaNG2FlZcVe9FNTU5GdnQ0AaNOmjcbznhNS3cl6Iq6Inj17YtasWWzSBnnGMisTWAD/m0hcs2ZNld0oll+YD/jfvIEbN25gxIgRSh+//ArfFWVlZbHDKQQCgVqDCgCoXbu2yHohwsnbgPj7UF6DBg2krmg+ffp0dgJ3QUEB9uzZo9CEdS7i4+MlDtuShksmMi66d+8OX19fnDlzhp5IaxF1fRaNGjXCw4cP2SxpFUnKCgWILwBKiL7i/BfN0NAQp0+fxtSpU/H7778jKytLZPEYIyMjjBo1CqtWraIxp4ToiXbt2qFfv36YPXu23K9RNrAICgrCo0ePYGRkJPNGWBkBAQHYt28fsrKyVPbk3dDQUGLe+rFjx8Ld3Z0NkrjM4VCEj4+PyHCyrKwsNq0wV+Hh4SI/f/3113jw4IHUQEQVMjIyFFrNuiqGQgFlQ+v27NmDTz/9VO3nIvJT1418kyZNcPjwYan7aSgUqe6UelRmamqKTZs2YdGiRbh48SKbO93b2xtt27ZVa5o/QkjVMzExwZo1axASEoKPHz8CEF3dW5LU1FSFV8cuLzg4GOfPn4eNjY1CT6wVUbt2bRw7dkzqU0gu/P398eLFC5E5ZgKBAOnp6di/f7/KzlMZMzMzNoc+AJUMJ6to3rx5+O6773Do0CGVHrc8RbL3AFU3FAqAzCxBRDOEyQtkKSkpUfjBp4eHB5KSkqQGLgUFBRIng9NQKFJdqOSq6+zsjH79+mHGjBmYMWMG+vXrR0EFIXpq5MiRIkGEm5sbkpOTpZZPSUlR6npQr149PH78GHFxcWoLLMzMzFBcXIyWLVuq7JjCnpbyHj58iPr166vsHPLi8Xhy3Whx5e3tDUtLS6lpeyU5cuQIdu3aBaCsF2XgwIEyyysaWFTVUCiinZydndnMZtJkZWVVunq7JDVr1hSZt1SetB4LCipIdUFLQBJClCJrHQgAePv2rVJDmKytrZGVlYW4uDipazeowhdffIGmTZuq7HjBwcFiCwxqagE1FxcXkYXc1MHHx0dmgFnRo0eP8OOPPyI/Px+rV6/GlStXZN58cQksaJXj6isoKEjqAp9Cin6nhFq1aoXz589L3EfpZkl1R1ddQohSvLy8ZAYW6enpCo2Nl8TY2BhPnz5VW48FAKxYsQLm5uYqO17dunURExMjsu3atWto1aqVys4hLx8fH8TGxqr1HA4ODkhLS5O7/Lt37zB27Fj88MMPiIyMRHh4uMzgR5uHQhHtI0/KZ66BRYsWLXD58mWJ+6QFFkZGRigpKVH4XIToGrrqEkKU4uXlVWnKWWUnLQYEBODu3btKByhVyczMTGSRruLiYhQVFak0eJFXzZo18eLFCwgEArVNIFU0sEhOTsb48eNx5swZzJgxA7Vr15YZ/JTPZiUPGgpVvamzx8Le3h7p6ekShxcWFhZKTDdrYmKCoqIihc9FiK6hwIIQohRZQ6FUNa44KCiI01hoTatVqxablvX27dto0qSJxurx8uVLZGdny73KsKIUDSxKS0thZGSEmzdvIiwsDH5+fnjx4oXU8jQUiijC1dW10qF5XAMLoOya9PjxY7Ht0nosTE1N1Z5amhBtQFddQohSPD09pfZYpKWlcV51u7zg4GC1DoNSl549e+L48eMAgP3792sse5C3tzcePXoksuq2qikaWAgZGxsDAPz8/GT2WGRnZ8PS0lLu49JQqOqNx+NVmrRAmcAiICBA4vdVVmAh/K4Tos/oqksIUUrFdKblKTtxWygoKAgrV65U+jhVLSwsDJcuXUJeXh7i4uKUSrurDHNzc7Rp0wYDBgzgfCNVGUUCC0nre/j6+lY6D0SRYVw0FIrUrFmTTYMviTKBhZOTE1JTU8W2SwssTExMxL7zhOgj6pcjhChN2pCnhIQEeHl5KX18Pp+vkz0WxsbGsLe3x8aNG9GnTx+N1mXatGno0aOH2sZ5Ozg44MOHD3KVTUpKgqurq8g2eVZxVwQNhSLCeRbSrh3KBhaSJofL6rGgwIJUB2q/6ubm5mLOnDnqPg0hRIOEq0xX9PbtW5UEFrqse/fuWLFiBb788ktNVwX+/v4ICgpSy7HNzc1FJqvL8u7dO3h4eEjcp6p5OTQUigQFBSE6OhqlpaXsv/KqsseChkKR6kLtV92cnBwsX75c3achhGiQu7u7xFShCQkJKhkKpcs6d+6MpUuXKjQ/QBcpMkwpMTFRYmBR2WKLiqChUKRBgwZ49OgR+vTpgz59+iAgIEDkOqWOwKKwsFBiAEE9FqS6kGso1IgRIzifQJVd24QQ7eTj44Nnz56hRo0aItupxwKwsrLC6NGjNV2NKpWWloalS5di9erVEvcnJiYiICBAbLtwArebm5vI9qKiIoVvyqjHglhaWuKPP/5gf547dy5SU1PZ71dWVhbnLGlWVlbIzs6WuE9SkE1zLEh1IVdgsXPnTqn7eDye1K5r4T515U0nhGiH8PBwbN26FR07dhTZnpmZqZNpYolynj9/jk2bNmHOnDkSs4IlJiZKXIFcuJZF69atRbYruoYFQHMsiDh7e3t8/PiR/VmZ74ii9zXUY0GqC7knb69du1bsBuHixYs4ePAg+vTpg7p167KT8ZKTkxETE4PDhw+jWbNmGDp0qGprTQjRKoGBgXj8+LHEBwn0YKH6MDY2RmFhIV69eoWePXti7969mDx5slg5aXMs/Pz8RJ4wC3EZskJDoUhFdnZ2SE9P18i5aY4FqS7kDiz69+8PZ2dn9ucbN25gw4YNiIuLg4uLi8TXrFixAuHh4fTEkhA9x+Px0LBhQzx48AANGzYEoLpJuER3CFPOxsXFYfz48Vi8eDEmTZokFlxKW0/D19cXL1++FNvOJbCgoVCkInt7e05rrcgi76gMGgpFqgu5rroRERGwt7cX2fb999/jp59+khpUAGUrX/78889Sx9kSQvRHz549cezYMfbnDx8+qGRxPKI7ygcW/v7++OSTT/Dff/9JLCvpZszCwgK5ubli27n2WFBgQcpTdY+FrHkWFdFQKFJdyNVj8dlnn4ltu337NurUqVPpa+vUqYPo6GjFa0YI0SnNmjXD3Llz8ddffwEAXr9+Xe0nblc3wsAiJSUFTk5OmDJlCvr374+jR48q1HNd8SkwDYUiqmBvb88GFiUlJUp/P5ycnJCSkiLXBHAKLEh1wflxTmFhIZ4/f15puWfPnqGkpITraQghOsLAwABLly5FTk4OcnJy4ODggFGjRmm6WqQKCQMLYWDg7OyMH3/8EV9//TUiIyMRGRmJK1euwMrKSuoxXFxckJKSIrKNhkIRVbCzs2Mnb2dlZSk9TFtayllJTExMaI4FqRY4r7xdv359TJ06FWfPnhWZe1He+/fvMW3aNNSvX59zBQkhuqNly5Zo2bKlpqtBNMTBwQFv3rwReTLbrFkzDBs2DGfOnGG3ffvtt1KPUbt2bbx48UJkmG1GRobE9LSy0FAoUlH5oVAfPnwQG+KtKEUCi+DgYBoaSqoFzoHFd999hz59+sDPzw89e/ZEaGgonJycwDAMUlNTcffuXRw/fhy5ubk4fPiwKutMCCFECzk4OOD48eNi65l06dIFXbp0kesYwrUsWrVqxW6joVBEFczNzdk5PElJSWLrpShKkcDCyckJTk5OSp2PEF3AObD44osvsGzZMsybNw/79u3Dvn37RPYzDAM+n49ly5ahV69eSleUEEKIdnNwcEBkZCSGDx/O+Ri1a9fGoUOHRLbRUCiiCjwej527o6rA4tmzZ+zPAoGA0muTak+pq+7MmTMRGRmJYcOGwcfHB8bGxjA2NoaPjw9GjBiBO3fuYMaMGaqqKyGEEC3m4OCAx48fw8fHh/MxfH19ERsbK7KNskIRVVNHj0VhYSFMTU2VrRohOo1zj4VQw4YN8fvvv6uiLoQQQnSYnZ0dBAIBatWqxfkYlpaWyMnJEdmWnZ0NS0tLhY5DQ6GILElJSRIzXirC2dlZJLAoKCigwIJUe/Q4hxBCiEoYGBjA1tZWqcBCqOICi4oOMaGhUEQSHo8HgUCgkh4LW1tbZGRksD8XFhbCxMREyRoSotuUvuoWFBRgz549GDt2LD7//HMkJycDAA4ePKjyFS4JIYRot/r16yvcu1BRxSfBsghvFCuioVBEEhsbG2RlZXEaXldRxWCXeiwIUXIo1KVLlzBgwAC8f/+ezVuel5cHAFi2bBmGDx+OPXv24IsvvlBJZQkhhGi3iIgIpY/h5+eHNWvWwNvbGwDYvyuSGBgYSAwiaCgUkaT8WhaqmGhdvmeNAgtClAgsnj9/jm7duiE/Px/NmjWDj4+PSCaPo0ePYsmSJejXrx9u376NRo0aqaTChBBCtJeZmZnSx/jmm29w48YN9ueff/5Zalk+ny+xx4KGQhFJyq++rQoMw+D06dMAgFevXlFgQao9zoHFsmXLYGNjg+vXr7ML4B07dozdX7NmTWzbtg2lpaVYvnw5/vjjD6UrSwghRP/Z2dnJve4Fn89HaWmp2HbqsSCS2NnZISkpSWVzIebOnYvo6GgAgJGREfr376+S4xKiqzgHFhcuXMCaNWsqXVX7m2++wVdffcX1NIQQQohUwqFQFdEcCyKJvb09YmJi4OrqqpLjNW/eHM2bN1fJsQjRB5yvusnJyQgNDa20nKurK969e8f1NIQQQohUNBSKKMLOzg6PHz9WOiMUIUQyzlddGxsbvH79utJyjx8/VjrzAiGEECKJgYEBDYUicrOzs8OTJ08osCBETTgHFi1atMCsWbOQn58vtUxWVhbmzZuHVq1acT0NIYQQIpW0HgsaCkUksbe3p8CCEDXiPMfiu+++Q1hYGHx8fDBq1CiEhoZCIBAgKioKjx8/xu3bt7F9+3akpKRg8+bNqqwzIYQQAoCGQhHF2NnZITc3lwILQtSEc2DRqlUrrFmzBlOnTsWPP/7Ibu/Xrx/7fx6Ph/Xr16NJkybK1ZIQQgiRgIZCEUXY2dkBAAUWhKiJUo9zJk6ciMuXL6NLly4wMzMDwzBgGAZmZmbo1q0brl27hm+++UZVdSWEEEJE0FAooghjY2PY2trCyclJ01UhRC8ptfI2ALRs2RInT56EQCDAhw8fAACOjo50QSeEEKJ20taxoKFQRJqAgAD6bhCiJir7zeLz+XB2doazs7PO/cJGRUXB0NAQPB4Ply5d0nR1CCGEyEnWOhY0FIpIcvDgQU1XgRC9xTkC6N+/P27duiV1/19//YVatWrBx8cHvr6+XE/DOnPmDDp27Ah7e3tYWFggJCQEGzZskPgHRRElJSUYMWKExCdehBBCtBsNhSKK8vLy0nQVCNFbnK+6Bw8eROvWrUUmbpfXqlUr7Ny5E/Pnz0d8fDzX0wAAli9fjvDwcJiamuLcuXO4d+8eOnbsiAkTJqBnz54oKSlR6thxcXG01gYhhOggGgpFCCHaQ6mrrkAgwPz589G+fXux1bVdXFwQFhamdEaoq1evYtasWQgMDMSRI0cQGhoKf39/LF++HF9//TVOnjyJ5cuXczr2s2fP8MMPP2D58uWwsbFRqp6EEEKqHg2FIoQQ7aFUYHHy5En4+vri4sWLaNiwIf7++29V1Yu1aNEiAMCECRNgZGQksm/atGkAgBUrVshcqE8ShmEwatQoNGnSBGPGjFFJXQkhhFQtGgpFCCHaQ6mrbmhoKO7du4fBgwfjw4cP6NGjByZOnIiioiKVVC41NZWdTN2+fXux/XXq1IGnpyeysrIQERGh0LE3btyIO3fuYNu2beDxeKqoLiGEkCombR0LGgpFCCFVT+mrroWFBXbt2oU9e/bA0tISGzduRNOmTfHs2TOlK3fnzh0IBAIYGRlJnQAeEBAAAIiMjJT7uG/evMHs2bOxYMEC+Pv7K11PQgghmiGrx4KGQhFCSNVSeh0LoYEDB6JZs2b46quvcOfOHYSGhmLt2rVo3rw552O+fPkSAODk5CT1yZNw9UxhWXmMHTsWvr6+mD59Oue6FRYWorCwkP05KysLQNkfM2UzVXEhEAjAMIxGzq1Out4uXa+/NPrYLn1sE6B/7arYHh6Ph5KSErH2CXsxdKXd+vY5Celbu/StPUL61i59a4+mKfI+qiywAABfX19cv34ds2fPxurVqzFmzBg0bdqU8/GEN+tmZmZSy5ibmwMAMjMz5Trmnj17cPbsWdy6dQuGhtybv2zZMixevFhse2pqKgoKCjgflyuBQIDMzEwwDKNX3f+63i5dr780+tgufWwToH/tqtiegoICpKamIiUlRaRcZmYmMjMzxbZrK337nIT0rV361h4hfWuXvrVH07Kzs+Uuq1Rg8eeff8LGxgaff/457Ozsyg5oaIiff/4ZHTt2xJAhQ3Dz5k2tmcOQkpKCKVOmYOrUqQgNDVXqWLNnz8bUqVPZn7OysuDl5QUnJydYW1srW1WFCQQC8Hg8mb07ukjX26Xr9ZdGH9ulj20C9K9dFdtjZWUFW1tbODs7i5QzNzeHo6Oj2HZtpW+fk5C+tUvf2iOkb+3St/ZomqmpqdxlOQcWn376KY4cOQIej4fmzZuzgYVQp06dEB0djSFDhuDs2bOcziG8QZeV8SkvLw8A5EoXO3HiRNja2krsaVCUiYkJTExMxLbz+XyNfYl5PJ5Gz68uut4uXa+/NPrYLn1sE6B/7SrfHgMDA4lPJRmGgaGhoU61Wd8+JyF9a5e+tUdI39qlb+3RJEXeQ86BhTBbkyzOzs44c+YM3rx5w+kcwgnbqampUlMHJiUliZSV5c8//4SRkRGcnJzE9gkDlPDwcHbC32+//YaBAwdyqjshhBD1k7aOBWWFIoSQqqfSORaS5ObmYufOnViwYIHCrw0NDQWfz0dxcTFevnyJ2rVri5V5+vQpAKBx48aVHu/FixdS97Vp0waJiYnYtm0bOy/ExcVF4ToTQgipOpQVihBCtIfaA4ucnBwsXryYU2Dh7OyMsLAwXLx4EefPnxcLLJ49e4aEhARYWVmhc+fOlR7Pz89P6j7hRG4PDw+Z5QghhGgPPp8vcR0LWiCPEEKqntyBxaVLl3DkyBGMGDECDRs2xIgRI+R6naIrYle0cOFCXLx4ERs2bMCoUaNEMjmtWrUKADB9+nQ2OxQAREVFYdCgQahXrx4OHDigVPYnQggh2ouGQhFCiPaQ+467d+/eyMjIwJ07d3D9+nXs3LlT7pMokxUqLCwMS5cuxdy5c9GrVy8sXrwYlpaW2L59O7Zu3YouXbpg9uzZIq/Zvn07YmJiEBMTg1mzZknNAJWTk4OcnBwA/8t5/vHjRyQnJ8PAwEDiXAxCCCHag4ZCEUKI9pA7sJg6dSoOHDiAsWPHstvWrl1baTamjIwMkbSsXMyZMweNGjXCqlWr0K5dOxQXF8Pf3x/r1q3Dt99+K/bHo2/fvvjzzz8RGBiIevXqST3uypUrxTJE9e7dGwDg7e2N+Ph4pepNCCFEvQwMDGgoFCGEaAm5A4u5c+di7ty5Itv69+9faY7w9+/fY8qUKdxqV054eDjCw8PlKhsWFobU1NRKyy1atAiLFi1SsmaEEEI0RVqPBQ2FIoSQqsf5qnvx4kXY29tXWs7e3h4XL17kehpCCCFEKlmTt2koFCGEVC3Os5rDwsLkKldaWorXr19zPQ0hhBAilbTJ2zQUihBCqp7ar7qZmZkYPny4uk9DCCGkGqKhUIQQoj3k6rHYvXs35xNkZmZyfi0hhBAiCw2FIoQQ7SFXYDFs2DDOKWMZhlEq3SwhhBAiDQ2FIoQQ7SH3HIu+ffvCzMxM4RPk5eXh8OHDCr+OEEIIqQwNhSKEEO0hd2Dxyy+/VJpaVpLk5GQcOnRI4dcRQgghlZG1jgUNhSKEkKol1+OchQsXwtLSktMJrKyssHDhQk6vJYQQQmSRtfI29VgQQkjVkqvHQpnAwNjYGG3btuX8ekIIIUQaPp+PkpISse00FIoQQqqe2q+6Hz9+pMCCEEKIWtBQKEII0R6cF8gTSk5Oxrlz55CYmIiioiKx/Tk5OcqeghBCCJGIhkIRQoj2UCqw+Pnnn7FgwQKRgIJhGACgFLOEEELUTto6FjQUihBCqh7nwOLkyZOYOXMmOnTogGbNmmH58uUYO3Ys7O3tAQCJiYk4ffo0Pn78iGnTpqmswoQQQoiQrHUsaCgUIYRULc6Bxfr16zF06FDs2LEDALBmzRpMmjQJPj4+bJnc3Fx06dIF1tbWyteUEEIIqYCGQhFCiPbgfNWNiorC2LFjZZaxsLDADz/8gH379nE9DSGEECIVDYUihBDtwfmqm5ubC3d3d/ZnQ0NDZGZmipXz8PDAixcvuJ6GEEIIkYqGQhFCiPbgHFh4eHggKSmJ/dnJyQnXr18XK3f58mWupyCEEEJkoqFQhBCiPThfdevVq4c1a9awPzdr1gwLFy7EoUOHkJGRgYyMDOzfvx8zZsxAvXr1VFJZQgghpDxZ61hQdkJCCKlanCdvf/HFFxg+fDiSk5Nx8eJFTJo0CQcOHED//v3Fyk6ePFmZOhJCCCESSeuxACjtOSGEVDXOgUXv3r1hamoKCwsLAEBoaCj27t2LcePGIT09HQBgbm6OhQsXYsCAAaqpLSGEEFKOrMCCEEJI1eIcWFhaWqJfv34i2/r164cvvvgCDx8+hEAgQL169WBmZqZ0JQkhhBBJpA2FIoQQUvWUWnlbEiMjI4SEhKj6sIQQQogY6rEghBDtofaUGe/fv6eUf4QQQtRC2joWhBBCqp7SPRYlJSV4/vw50tPTJV7c09LSlD0FIYQQIpG0dSwIIYRUPc6BRUlJCWbNmoWtW7ciJydHlXUihBBC5EJDoQghRHtwDizmzp2L1atXw8TEBPXr14eNjY3E1H5FRUW4efOmUpUkhBBCJKGhUIQQoj04BxZ79+5Fjx49sHv3blhZWUktl5ycDHd3d66nIYQQQqSioVCEEKI9OE/ezsjIwKJFi2QGFQBgZWWFhQsXcj0NIYQQIhUNhSKEEO3BObCoX78+TExMKi1nYWFBgQUhhBC1oHUsCCFEe3AOLJYsWYJ169ZVWo7SzRJCCFEX6rEghBDtwXmORfv27cHn89GnTx80a9YMvr6+sLe3F5vATelmCSGEqAsFFoQQoj04BxYCgQCnTp1CREQEjh49qso6EUIIIXKhoVCEEKI9OAcWP/74I1avXg1TU1M0aNAA1tbWlG6WEEJIlaIeC0II0R6cA4vt27ejV69e2L17NywsLKSWo3SzhBBC1IXWsSCEEO3BefL2+/fvsXDhQplBBUDpZgkhhKgPrWNBCCHag3NgUbduXRgbG1dajtLNEkIIURcaCkUIIdqDc2CxYMECrFq1qtJylG6WEEKIutDkbUII0R6c51jY2trCwMAADRs2xKBBgyjdLCGEkCpHPRaEEKI9OAcWbdq0AY/HA8MwmDlzpirrRAghhMiFAgtCCNEenAMLAGjWrFml8ywo3SwhhBB1oaFQhBCiPZQKLI4ePQpnZ2eZZSjdLCGEEHWhHgtCCNEenCdvjxw5Eubm5pWWo3SzhBBC1IXWsSCEEO3BObAoKSnBxIkTMWXKFJnlKN0sIYQQdaF1LAghRHtwDix27dqFiIgIWFtbq7I+hBBCiNxoKBQhhGgPznMs+Hw+Dhw4gDZt2qiwOoQQQoj8aCgUIYRoD849Fi4uLvDx8VFlXQghhBCF8Pl8MAyj6WoQQgiBEoFF586dcfny5UrL0crbhBBCCCGE6D/OQ6GWLl2Krl27wtHREeHh4TLL0tMkQgghhBBC9BvnwGLOnDlwd3dHt27dUKtWLQQEBMDJyQk8Hk+kXH5+vtg2QgghhBBCiH7hHFjs3LkTPB4PDMPg1atXePXqldSyFFgQQgghhBCi35RaeXvNmjWwsbGRWSYjIwNTp05V5jSEEEKI3Gj4LSGEaIZSgUX//v3h7Owss8z79+8rXUSPEEIIURWGYcDnc85NQgghhCPOV96rV6/CwcGh0nJOTk6Ii4vjehpCCCFEIaWlpRRYEEKIBnC+8rZs2VKuNLJ8Ph/e3t5cT8M683/t3XlcVPX+P/DXsA6gICiEiuJ2XUDNLRUr8JqWyzU1d8lc0iSXzLTUW37Fe9XU8po39ZYr7pprZS5pabnlmqko2FVwHRREBQTZ5v37w9+ZyzAzMMDAMOPr+XjM4wHn8znnfN5z5nzmfOZ8Puezdy86deoEHx8feHh4oEWLFli0aFGRZ1zNzMzE+vXr0bt3b9SoUQMuLi6oWLEiWrZsicjISDx8+LDEZSUiIuvRarV8zDkRkRWU+CedJ0+eYOnSpejduzdatWqFVq1aoXfv3li2bBmePHliiTJi7ty56NKlC9RqNfbv34/ff/8dnTp1wrhx49CzZ0/k5OSYva0mTZrgzTffRGpqKlauXImYmBjs3bsXjRo1wowZM9CkSRP8+eefFik3ERGVPa1WyzsWRERWUKIxFn/88Qd69eqF69ev6w2WO3v2LHbu3Ik5c+Zgx44daNq0abH3cfjwYUyZMgVBQUHYvn07nJ2dATxtbDx48ADLli3D3Llz8fHHH5u1vXv37qF169bYvXs3nJyehl+nTh28+OKLePLkCbZt24ahQ4fi6NGjxS4zERFZD7tCERFZR7Fr3rt37+K1115DfHw8goODMXz4cEydOhVTp07F8OHDERwcjLi4OLz22mu4e/dusQsYGRkJABg3bpyuUaGYOHEiAGDevHnIyMgwe5tDhgzRNSryGjVqFADg2LFjuH37djFLTERE1sSuUERE1lHsOxZz5sxBbm4u9u/fj1deecVongMHDmDgwIGYN28e5s+fX+R9JCYm4tChQwBgdB8NGjRAQEAAbt26hT179uCNN94odJvXr1+Hh4eH0bSAgADd38nJyahevXqRy0xERNbFrlBERNZR7Jr3hx9+wPz58002KgCgY8eO+Pzzz/H9998Xax+nT5+GVquFs7Mz6tatazRPw4YNAQCnTp0ya5teXl5G71YAgEajAQCo1WrUq1evGCUmIiJrY1coIiLrKPYdi5s3b6J9+/aF5mvfvj0iIiKKtY+rV68CePrIWlNfElWrVtXLWxK7d+8GAAwfPhxubm4F5s3MzERmZqbu/5SUFABPfykr6pOqLEGr1UJErLLv0mTrcdl6+U2xx7jsMSbA/uIyFk/+/3NycuDg4GBTMdvbcVLYW1z2Fo/C3uKyt3isrSjvY7EbFm5ubkhOTkbNmjULzJecnFzoRbopysV6Qeu7u7sDAB49elSsfSju3r2LlStXIiAgAP/85z8Lzf/pp59ixowZBssTExMt9jSsotBqtXj06JHdTQxl63HZevlNsce47DEmwP7iMhZPVlYW7t27p8uTmJiIzMxMvWXlnb0dJ4W9xWVv8SjsLS57i8faUlNTzc5b7IZFs2bN8MUXXyAqKqrAfPPnz0fz5s2Lu5syodVq8fbbbyMzMxM//PADfHx8Cl1n6tSp+OCDD3T/p6SkoEaNGvD19YWnp2dpFtcorVYLlUpV4N0dW2Trcdl6+U2xx7jsMSbA/uIyFo+Liwv8/Px0eXJycuDh4aG3rLyzt+OksLe47C0ehb3FZW/xWJtarTY7b7EbFiNHjkR4eDiSkpIwbtw4tG7dGt7e3gCe3qU4ceIEFi5ciP3792PDhg3F2odygV7QE5/S09MBPB07UVxjxozBgQMH8N133yEkJMSsdVxdXeHq6mqw3MHBwWofYpVKZdX9lxZbj8vWy2+KPcZljzEB9hdX/niU//NycnKyuXjt7Tgp7C0ue4tHYW9x2Vs81lSU97DYDYuBAwdi165d2LhxI/bs2aO3Y6Uvlohg0KBB6N+/f7H2oQzYTkxMNPmUD2XAtanB3YWZMGEC1qxZg127dqFjx47F2gYREZUffCoUEZF1lKjmXbduHebMmQMfHx+ICHJzc5GbmwsRgY+PD+bOnYu1a9cWe/stW7aEg4MDsrOzTQ7OjomJAQC88MILRdq2VqvFqFGjsHLlSuzbt4+NCiIiO8GnQhERWUeJal6VSoWPPvoIGo0Gx48fx6ZNm7Bp0yYcP34cGo0GH374IVQqVbG37+fnh7CwMADATz/9ZJAeGxuLW7duoWLFiujcubPZ283NzcWQIUOwdetWHDhwAC+99JJe+pAhQ7B///5il5uIiKyHE+QREVmHRX7ScXJyQps2bdCvXz/069cPbdq0MTlXRFFNnz4dALBo0SLk5OTopSmT7n344Ye6p0MBwNmzZxEUFIS+ffsarJOdnY3+/fvjxx9/xMGDB43e6fjll1848zYRkY1iVygiIuswu+b9xz/+oRsoXZbCwsIwa9YsREdHo1evXjh79iyuXLmCKVOmYNmyZejatSumTp2qt87KlStx+fJlbN26FX/88YdueW5uLnr16oVt27bB2dkZw4cPR6tWrQxeyrgNIiKyPbm5ubxjQURkBWbfVpgxYwYiIiL07gyUlb///e9o3rw55s+fjw4dOiA7Oxv169fHwoULMWbMGIMvkL59+2Lz5s0ICgpCcHCwbnlqaip++OEHAMDt27d5V4KIyA7xjgURkXWY3bAQEXzzzTfFnqPhrbfeKtZ6ii5duqBLly5m5Q0LC0NiYqLB8kqVKkFESlQOIiIq39iwICKyjiINhHjvvffMzpt/0HZJGxZERETmYFcoIiLrMPsnHZVKhYSEBGi12kJfly9fRqNGjSAicHV1xYoVK0ozBiIiIh3esSAiso4idYUyx5YtWzBixAikpaUhMDAQ27ZtQ4sWLYpdQCIioqJgw4KIyDrMrnkPHjwIHx8fk+k5OTkYP348BgwYgNTUVHTs2BFnzpxho4KIiMoUu0IREVmH2Q2LsLAwk3NT3L59G6GhoVi0aBGAp09x2rt3b4ENESIiotLAOxZERNZR4lns9u/fj/DwcCQlJcHT0xOrV69Gjx49LFE2IiKiImPDgojIOkpU8/7jH/9A165dkZSUhKCgIJw8eZKNCiIisip2hSIiso5i3bFITk5GeHg4fvzxR4gI+vbti5UrV8LDw8PS5SMiIioS3rEgIrKOIte8J0+eRIsWLfDjjz/CwcEBn3/+OTZv3sxGBRERWYVKpdJ7cmFubi4bFkREVlCkmnfRokUIDQ3FjRs3UKVKFezfvx8ffPBBgeskJSWhTp06JSokERGRKQ4ODtBqtbr/tVotu0IREVmB2V2hBg4ciG+++QYigrZt22Lr1q2oVq1aoevl5ubi+vXrJSokERGRKY6OjnrjKtgViojIOsxuWGzevBkA4OzsjDp16uCTTz4xa72MjIzilYyIiMgM+e9YsCsUEZF1FGnwdkhICFxcXHD79m2z18nKyipyoYiIiMzl4OCA3Nxc3f/sCkVEZB1mNyxUKhV27NgBPz+/Iu0gISEB1atXL3LBiIiIzOHo6GgwxoJ3LIiIyp7ZNW/NmjWL9QuQk5MTatasWeT1iIiIzMGuUERE5YPZdyzi4uKKtYMqVaoUe10iIqLCsCsUEVH5wJ90iIjIprErFBFR+cCal4iIbBq7QhERlQ+seYmIyKYp81go2BWKiMg62LAgIiKbZmzmbd6xICIqe6x5iYjIprErFBFR+cCal4iIbBq7QhERlQ9sWBARkU1jVygiovKBNS8REdm0/PNYsCsUEZF1sOYlIiKbZmweC3aFIiIqe2xYEBGRTWNXKCKi8oE1LxER2TR2hSIiKh9Y8xIRkU1jVygiovKBDQsiIrJp7ApFRFQ+sOYlIiKbln8eC3aFIiKyDta8RERk04zdsWBXKCKisseGBRER2bT8g7fZFYqIyDpY8xIRkU3LP3ibXaGIiKyDNS8REdk0doUiIiof2LAgIiKbxq5QRETlA2teIiKyaewKRURUPrDmJSIim8auUERE5QMbFkREZNPyz2PBrlBERNbBmpeIiGxa/jsW7ApFRGQdrHmJiMimsSsUEVH5wIYFERHZNHaFIiIqH1jzEhGRTWNXKCKi8oE1LxER2TRj81iwKxQRUdljw4KIiGxa/nks2BWKiMg6WPMSEZFNM9YVincsiIjKHhsWRERk04x1heIdCyKisseal4iIbBq7QhERlQ+seYmIyKaxKxQRUfnAhgUREdk0zmNBRFQ+sOYlIiKbZmzmbTYsiIjKHmteIiKyaewKRURUPrBhQURENo1doYiIygfWvEREZNPYFYqIqHywmZp379696NSpE3x8fODh4YEWLVpg0aJFel8mRaHRaBAREYGaNWvC1dUVNWvWREREBO7cuWPhkhMRUWnKP48Fu0IREVmHTTQs5s6diy5dukCtVmP//v34/fff0alTJ4wbNw49e/ZETk5OkbZ36dIlNGnSBN9++y0WLFiAmJgYLFiwADt37kTTpk1x6dKlUoqEiIgsjfNYEBGVD07WLkBhDh8+jClTpiAoKAjbt2+Hs7MzgKeNjQcPHmDZsmWYO3cuPv74Y7O2l5OTg969e+P+/fs4evQo2rVrBwCoXbs2/P398dJLL6FPnz44f/48nJzK/dtDRPTMY1coIqLyodzXvJGRkQCAcePG6RoViokTJwIA5s2bh4yMDLO2t3HjRsTExKBNmza6RoXixRdfRNu2bXH58mVs3ry55IUnIqJSZ6wrFBsWRERlr1zXvImJiTh06BAA4JVXXjFIb9CgAQICApCSkoI9e/aYtc0tW7aY3B4AdOzYEQDYsCAishH5u0IBgEqlslJpiIieXeW6YXH69GlotVo4Ozujbt26RvM0bNgQAHDq1CmztnnixAm99Uq6PSIisq78XaGIiMg6yvUggqtXrwIAfH19Td7Wrlq1ql7egqSlpeHevXsAAH9//wK3l5CQgPT0dLi7uxvNl5mZiczMTN3/KSkpAJ727bXGF5xWq4WI2N2Xq63HZevlN8Ue47LHmAD7i8tYPCqVComJibh27RoAICMjw+bitbfjpLC3uOwtHoW9xWVv8VhbUd7Hct2wUC7W3dzcTOZRLvwfPXpk9vYK2mbehsSjR49MNiw+/fRTzJgxw2B5YmIinjx5UmhZLE2r1eLRo0cQEbvqW2zrcdl6+U2xx7jsMSbA/uIyFk/FihXx8OFDzJ49GwAQFBSk+xHJVtjbcVLYW1z2Fo/C3uKyt3isLTU11ey85bphUZ5NnToVH3zwge7/lJQU1KhRA76+vvD09Czz8mi1WqhUqgLv7tgiW4/L1stvij3GZY8xAfYXl7F4/Pz8sHTpUiuXrGTs7Tgp7C0ue4tHYW9x2Vs81qZWq83OW64bFsoFekFPfEpPTwcAeHl5mb29grapbK+wbbq6usLV1dVguYODg9U+xCqVyqr7Ly22Hpetl98Ue4zLHmMC7C8ue4tHwbhsg73Fo7C3uOwtHmsqyntYrt9tZcB2YmKiyf5dGo1GL29BKlSoAD8/PwBPx1AUtD1/f3+T3aCIiIiIiEhfuW5YtGzZEg4ODsjOzjY5ODsmJgYA8MILL5i1zdatW+utV9LtERERERFROW9Y+Pn5ISwsDADw008/GaTHxsbi1q1bqFixIjp37mzWNvv27WtyewBw4MABvXxERERERFS4ct2wAIDp06cDABYtWoScnBy9tPnz5wMAPvzwQ71uS2fPnkVQUBD69u1rsM7AgQNRv359nDhxAseOHdNLO3bsGH777Tc0aNAAAwcOLI1wiIiIiIjsUrlvWISFhWHWrFmIjo5Gr169cPbsWVy5cgVTpkzBsmXL0LVrV0ydOlVvnZUrV+Ly5cvYunUr/vjjD700Z2dnbNu2DT4+Pujduze2b9+O+Ph4bN++Hb1794aPjw+2bt0KJ6dyPa6diIiIiKhcKfcNCwD4+9//jt27dyMjIwMdOnRA8+bNsW/fPixcuBDfffedQSOgb9++qFKlCkJDQxEcHGywvcaNG+P8+fPo3r07xo8fjwYNGmD8+PHo3r07zp8/j8aNG5dVaEREREREdsFmfpbv0qULunTpYlbesLAwJCYmFpinevXqNv/ccyIiIiKi8sIm7lgQEREREVH5xoYFERERERGVGBsWRERERERUYmxYEBERERFRibFhQUREREREJcaGBRERERERlRgbFkREREREVGI2M49FeSciAICUlBSr7F+r1SI1NRVqtRoODvbTXrT1uGy9/KbYY1z2GBNgf3HZWzwKxmUb7C0ehb3FZW/xWJtybatc6xaEDQsLSU1NBQDUqFHDyiUhIiIiIrKs1NRUeHl5FZhHJeY0P6hQWq0Wd+7cQcWKFaFSqcp8/ykpKahRowZu3rwJT0/PMt9/abH1uGy9/KbYY1z2GBNgf3HZWzwKxmUb7C0ehb3FZW/xWJuIIDU1FdWqVSv0DhDvWFiIg4MDAgICrF0MeHp62uVJZOtx2Xr5TbHHuOwxJsD+4rK3eBSMyzbYWzwKe4vL3uKxpsLuVCjY8YyIiIiIiEqMDQsiIiIiIioxNizshKurK6ZPnw5XV1drF8WibD0uWy+/KfYYlz3GBNhfXPYWj4Jx2QZ7i0dhb3HZWzy2hIO3iYiIiIioxHjHgoiIiIiISowNCyIiIiIiKjE2LIiIiIiIqMTYsCCb9PDhQ6hUKt2rVq1a1i4SEZUD8fHxenVD+/btrV0kIqJnBhsW5UStWrX0vgxt+YK5ffv2RmMp6BUZGVmkfXh5eUGj0eDkyZMWK3f+Y+Ds7IyrV6+atW5CQgLc3d311h86dKjFylbaNBoNnJyc4OjoiNu3b1u7OCY9a8fInuoFY0ojvho1akCj0WDbtm2WK6iZbOU8MldycjIiIyPxwgsvwMvLCy4uLqhatSpatGiBwYMH4+uvv0ZMTIy1i1lsZ8+eRUREBBo1agRPT0+4ubkhMDAQffv2xebNm6HVai22ry+++AKRkZF4+PBhibeV/7zp37+/ybyHDh2yyHduWWjWrJnRsjo4OKBSpUqoV68e+vXrh2XLliE9Pd3axSVThMqFe/fuiUajkS+++EIASEBAgGg0Grl37561i1Zk9+/fF41GIyEhIQJAJk6cKBqNxuQrICBApk+fXqx9xcXFCQAJDAwscbmVY6CUG4AMHTrUrHUnTJigW0eJ9+HDhyUuU1mZNWuWrvwzZ860dnFMetaOkT3VC8aUZnwHDx4UABIWFlbygprJVs4jc0RHR4u/v79UrFhRZsyYISdPnpQbN27IpUuXZPXq1dKwYUMBIMHBwdYuapFlZGTIiBEjBIB07dpVtm/fLrGxsRIXFyc///yzvPvuu+Lk5CTNmjWTq1evWmSfgYGBAkDi4uJKvC1j9eDChQuN5s3MzNR91wKQL774QjQajaSmppa4HJaWlJRk9Nrh9u3bcvHiRdm0aZMMGDBAHBwcxNvbW9auXWvtIpMRbFiUM6tWrbLYhbK1hYWFCYBCGw2BgYHlomGhCAsLEx8fHwEgTk5OhX6x3L17V9zd3XXrFDcWa9FqtVK3bl2pUqWKAJA6deqIVqu1drEK9KwdI3uqF4wpjfjKumFhi+dRQdq1aycAZNOmTUbTNRqN+Pv721zDIjs7Wzp37iwA5LPPPjOZ79ChQ+Lu7i5VqlSxSOPCkg0LRVhYmDg5OQkAcXZ2luPHjxeYH4CsWrXKYvsvLYVdO5w4cUL8/f0FgERGRpZt4ahQ7ApFVvf777/jo48+snYx9HTr1g0NGjRATk4OZs6cWWDezz//HCEhIWjSpEkZlc6yDh06hOvXr2PDhg0AgGvXruHQoUPWLZQZnqVjROWfrZ5Hxjx69AjHjh0DAHTp0sVoHn9//wK74JRXM2bMwN69e9G1a1dMmjTJZL6wsDBMnz4dSUlJ6NevH6ScTvnVt29ftGnTBtnZ2ejXrx+SkpKsXaRS17p1a+zcuRNOTk6IjIzE7t27rV0kyoMNCxuh1Wqxe/duDBs2DMHBwahQoQIqVKiAVq1aYcGCBcjJydHLf+vWLYMBjA8fPkRERAT8/f3h6uqK4OBgrF692koRASqVClFRUfD29oa7uzsAIDExERMnTsRf/vIXuLq6wtvbG3/961+xcePGQrf35MkTfPLJJ6hbty7UajUCAgIwduxY3L9/v8hlc3BwwLRp0wAAa9euxbVr14zmS0pKwpIlS3R5jcnMzMSWLVvQv39/NGjQAG5ubvDy8sJLL71k9P0/cuSIwTgAjUaD4cOHo1q1anB0dLTo+IAVK1agW7du6NSpE1q3bq1bll9UVJRBH93Dhw+jc+fO8PHxgZubG5o1a4Zly5YZfAk7OTnp9Z/PyspCZGQk6tevD1dX12L1q7fmMTLWDzgqKkqXnn+cUWmM5Zg0aZLePvJexObvV52/P3X+4/HkyRNMmTIFNWvWhKurK+rVq4fPPvvM4mUuipLEZw3mnkeLFi0y+bnJP/Dc1OcmMTERo0ePRvXq1eHq6opatWrhvffeQ3JyskH/++LIO7agoLEi06ZNMzqWJS0tDTNmzEDjxo1151JISAj+85//IDc3Vy9v/rE19+/fx9ixYxEYGAhXV1dUr14do0ePRmJiYrFiyevevXuYP38+AGDChAmF5o+IiIBarcaZM2ewY8cOvbT09HTMnj0bzZo1g4eHB9zc3NCwYUMMGzYMu3fv1r2HQ4cOhUqlwvXr1wEAtWvXtuhYKRcXF2zduhW+vr64efMmwsPDizw2RESwceNG/PWvf4W3tzfUajX+8pe/4P3330dCQoJe3vJQ9wFAmzZt0KdPHwDAlClTDNKPHDmCHj16wNfXFy4uLqhZsyaGDh2K2NhYk9u8fPkyhgwZgho1asDFxQXe3t5o164dpk2bhv/+97+lEoddsvIdE8rHVJcApX9ks2bNZPfu3RIXFyfnzp2TWbNmiYuLi3Tr1k1yc3N1+XNzc0Wj0ci2bdsEgLRp00Y6dOggGzZskLi4ONm7d6/UqlVLAMiOHTtKJZbCbmci323Zy5cvS/Xq1cXDw0MWL14sMTEx8uuvv0r37t0FgERERBhsQ+kKVaNGDXnttdckMjJSYmJi5PLlyzJ58mQBIPXr1y9Sn+2wsDAZMmSI5ObmSoMGDQSADB8+3GjeKVOmyMsvv1xgvMePHxcA0qFDBzl48KDEx8fLqVOnZOLEiaJSqeTdd9/Vy5+VlaXX77xbt27SvHlziYqKkri4OPnpp5/Ez89PhgwZYnZMpjx48EDUarXs2rVLRESWLVsmAMTNzc1g/EF6erpoNBqZOHGiAJCXXnpJ6tWrJ9u3b5f4+Hg5cuSIhIaGCgCDmBISEuTkyZMCQGrWrCndu3eX6dOny+XLl+X8+fPy4osvFqkbjLWPkUajkUmTJumOj0ajkfT0dF36/fv35eeffxYAcvTo0RKP5TBWL6SkpOj1Rz548KAuTelXrRyr/PHmPx49e/aUJUuWyLVr1+TXX3+V5s2bCwBZsGBBicptrfhEyrYrVFHOo8ePH4tGo5F+/foZ1IE5OTl6576xc/zOnTtSp04dUalUMm3aNImJiZGYmBiZPn26NG7cWPz8/ASAnDx5UjQaTbFjqlatmu79S0hIMHs9jUYjQUFB4uTkJDNnzpSLFy/Kb7/9JsOHD9edLzk5OXr5lc+in5+fNG7cWFePx8bGyrRp00SlUkmdOnVKFI/I/46Li4uLZGVlmbWOUmcMGDBAt+zu3bvStGlTcXZ2ltmzZ0tsbKxER0fLv//9b/H09BQAsnPnThERefjwoW4sYd7jYomxREo9KCLy888/i6OjY5G+c0WeXisMGjRIAMibb74pZ86ckbi4OFm1apVUrlxZ/Pz85OzZs7r8Go1GPvzwQ7PqviNHjhSr7jO3G/XOnTt1Y0xiYmJ0yxcuXCgqlUpatmwpP/74o1y5ckU2btwoVatWFXd3d/npp58MtrVjxw5Rq9VSv359+e677yQ+Pl6OHz8u4eHhAkAqVapU5DieVWxYlDOmGhb37t2T2rVry61btwzWmTlzpgCQLVu2GKQpX64AZP369Xpp3377rQCQV155xaIxKIrSsMjJyZHg4GCjfXq1Wq20aNFCAMjWrVv10pSGBQD54IMPDPYxcuRIASDh4eFFKrdSWa9bt07Xj//atWt6+e7fvy8VK1aUH3/8scB4z549K0FBQXqVr0IZQHjq1CmDNOWzAEC+//57vbRPPvlE3nvvPbNjMmXRokUSEBCg+6JPTU2VChUqCABZsmSJ0XWmT5+uK9f58+f10tLS0nRfoPnLnPdYTZw4US9t9+7d0qpVK7PLXR6O0bVr10SlUomrq6skJSUZrPfBBx9Iu3btzI6pIAWNQVBiynvhrVCOlbFzMO/xmDVrll7aH3/8IQCkbt26Fil/YUojvrJsWBTnPBoyZIjJPu/K+2GsYfHGG28IAJkwYYJB2vjx43XHtKR9+b/66ivdttzc3CQ8PFy2bdsmKSkpBa732muvCQCZM2eOQVqvXr0EgHz++ed6ywurx5UHL/Tu3btEMQ0bNkwASKNGjcxeJyIiQgBIrVq1dMu6dOkiAGTevHkG+Tds2GD0B7vSGmOR9zPy2WefCQBxcHCQvXv3GuQ39nmbO3euAJDOnTsb5N+/f7/uvHz8+LFueVxcXKF1X9u2bUsUlzkNi5s3b+o+N6tXrxYRkSNHjoiDg4P4+voaDFA/d+6cqFQqee655/TiuXbtmnh4eIharZbr168b7OfVV18VLy+vYsfzrGFXKBvh6+uLa9euoXr16gZpbdu2BQD88MMPJtevWLEi+vbtq7esTZs2AIBz585ZrqBGzJ49W9d1K+8rr507dyI6OhrVq1dHv3799NJUKhVGjRoF4Gk3AlPGjh1rctmmTZsMbumaY+DAgSb78S9YsABBQUHo1KlTgdto3rw5oqOj4ebmZpBmzrGrXbs2/va3v+kt++c//4mFCxeaG4ZJK1aswNChQ+Ho6AgAqFChgq7ftLFuHHmFhoYajFnw8PDAsGHDADx9vKIp48aN0/u/S5cuOHXqVFGLD8B6x6h27dp45ZVXkJmZiTVr1uilZWVlYc2aNRg5cmRxQipzw4cP1/u/adOmcHNzw9WrV5GammqlUtmOkpxHRXHjxg1dl5zRo0cbpOc/r0pi1KhRWLx4MXx8fJCRkYH169ejd+/eqFy5Mjp06IAlS5YgJSVFb50zZ85g3759cHJyMlofR0REACh+Pb59+3bcuHGj2DHdvXsXAFCpUiWz11Hy3rt3D8DTR9Tu2bMHzs7Ounjy6tOnD6pVqwZnZ+dil7O4Jk2ahL59+0Kr1SI8PBw3b94sMH92djbmzZsHAHjvvfcM0jt27IjGjRvj+vXrenVcrVq10KlTJ2RmZmLdunUG21y7di1GjBhhgYgKVqVKFd3fyrGdM2cOtFotRowYYXCd8fzzz6Nt27a4e/cutmzZolu+YMECPH78GD179kTNmjUN9jNy5Eh4eXmVUhT2hw0LG6LRaDBp0iQ8//zzqFKliu4CXbnoLKgvbM2aNQ0qOh8fHwDAgwcPSq/QePplcu7cOYNXXj/++CMAoEWLFkb7BdepUwcA8Ntvvxn00QUAtVqN2rVrGyxv3LgxXF1dkZubi6NHjxa57Hn78a9ZswZxcXEAnk7Q9+WXXxbYbz+vP//8E++++y6CgoLg4+OjO3ZjxowBUPCxa9iwYZHLbY6zZ8/i3LlzePvtt/WWKxfDZ86cwfnz502u36hRI6PLW7VqBQA4evSowdgfALpnxVuKNY+R8uWZ/+Jx586dyMrKMmgkl0ceHh7w9/c3WO7t7Q0AFnnuvj0r6XlUFL/++itEBJ6enqhXr55Bep06deDq6mqRfQFPGy83b97EunXr0KdPH1SqVAnZ2dk4ePAgxowZg7p16+L777/X5Vfq8UaNGsHDw8No+YCnY0nu3LljkG6qHq9Tpw68vb0hIjh8+LClwisWJcaGDRuiYsWKBunOzs64ffs2unXrVtZFAwCsXLkSQUFBuH//Pvr27YusrCyTec+cOaMbg6iMC8pPWb5v3z695abqvm+//RZPnjzBgAEDih2DuSTPWD6VSoXc3Fz8/PPPAP73PZSf8hnMez2gHNMXXnjB6Dp9+vTRjZGhwrFhYSNiYmLQtGlTLFiwAB07dsSOHTt0F+jLly8HgAIrkMqVKxssUxoalpwEyBgfHx/Uq1fP4CUiuoFdyq9Qe/bsMXp34/XXXwfwdIB2cnKywT58fX2N7tvBwUEX+61bt4pV/gEDBuh+EZ81axaAp7/G161b16wvj19//RXPP/88oqKiMHDgQOzevVt37P7xj38AKPjYmYqtpJYvX46OHTsaDCBs06aN7k5EQb+2+vn5GV2ulPfJkydGB86XRjzWOka9evVC5cqVER0djePHj+uWL1++HIMGDdI9lKA8M1Y3AP+rH4w15Ol/SnoeFYVSh5k6h1Qqlcnzsrjc3d0RHh6OLVu2ICkpCb/88gveffdduLu7IykpCQMGDNBddCn1+KVLl4zW482aNdNt11hDvaC6QUkrbj0OAM899xyAojWWlbzKukqspVUvl1SFChWwfft2eHp64sSJE5g4caLJvEoseb8n88sft0IZGH3hwgWcOHFCt3z58uUYMGCA0YalpeUd0O/n54ekpCTdxHlvvvmm0c/gN998A0D/81fej6mtcbJ2Acg8kyZNQlJSEkaNGqV7qoXCnIq2uE8HKWu9evXC7NmzC8yj/JJqrry/ahSHo6MjPvnkEwwePBhr1qzBuHHjsHDhQqxcudKs9UePHo2MjAx8+umnBk+vMOcioDSOXUZGBjZs2ID09HSD28XA06ckAcC6deswb968Iv0KWtj7XRrxWOsYubi4YPDgwfjiiy+wfPlyhISEID4+HgcOHMCcOXNKFJMlmPPZt5W6wZiSntslVVrnUWFxWStuR0dHhIaGIjQ0FJMmTUKrVq3w4MEDbNy4Ue+8adOmTaFPHAwICCjSvi0Rc0hICFatWoWrV68iOzvbrO5Kly9fBgC0a9euxPsvKw0aNMDq1avxxhtvYNGiRXjppZcs/mhgFxcXDBkyBJ9//jlWrFiBNm3a4ObNm9i/f7/ejyyl6fTp07q/Q0JC9NJWrVqFli1bmlzXFn70sVW8Y2EjfvnlFwDAq6++auWSlA6la0x2drbRuxt5X05Ohu1hpf9rflqtVneHo6hfZHkp/fizs7PRsWNHBAQEoGfPnoWud//+fURHRwMoX8du69atcHZ2xsWLF412Uzt16hScnZ2RnJyMnTt3Gt2G0qc1P+VXJLVabfJXsNJgrWOkdAnYvHkzUlNTsWLFCjRv3hwtWrQo8raKQ+nXb+zOgiUe0Wlt5Tm+kpxHxYlLqcNMzVUgIibrwqKaPXu23i/R+dWpU0fX3SU+Ph7A/+rx9PT0QutxtVptsM2Cyq68JyWpx19//XW4ubkhKysLv/76a6H5U1JScPLkSQDQdWtUYrT2Z68wPXv21DX2RowYgZiYGIM8SixardbkZ0qp5411X1Xqvk2bNuHx48dYuXIlgoODTXarsjTlMfRNmzbFX/7yF1SpUkXXYFCr1QV+/qpVq6bbjq0cU1vBhoWNKKi7UkH9822FckF36tQpk79MDR48GIMGDTKalpmZaXQegwsXLiAzMxOOjo548cUXi10+5Rdx4OmX+ieffGLWL72FdTOz1rFTblfXr1/faKXbrFkzvPbaawBMd+NQfsnLT/kV6cUXXzTaCCwt1jpGwcHBaNu2LR4/fox169YhKiqqTAdtK4MKjY2Vunr1apmVo7SU5/hKch4VJ67Q0FCoVCqkpKTgzz//NEi/du2a7i5JSS1durTQiceUxoHShUSpxy9fvoy0tDSj60yePBmvvPKK0fPOVD1+9epVPHz4ECqVCi+//HKR4sjrueee081fUdDDJRRff/01MjIy0K5dO113XCXGmJgYow82yMjIQOfOnbF06VK95Q4OhpdbCQkJePz4cVHDMNvMmTPRqVMnpKWloXfv3gbpLVu21P34Y6oRqTSslM9xXg0aNEBoaChSU1OxceNGrFq1qkwGbQNP56lQHmTw6aefAnj6HfDKK6/olTu/uLg4NGvWDJs2bdItU46pqXW+//57dOzYkeMszMSGhY1QfgEwVtHnfbqBrerRowcaN26M27dvY/PmzQbphw8fxrp16wq8Hb1kyRKDZYsXLwYA9O/f3+gA1aIYOHAg3nrrLbz11lsGT9gyxdfXV9f3Ov+x02q1RieXKm1//vknfv31VwwZMqTAfIMHDwYA/PTTT0afxHL48GFcuHBBb9njx491kyWNHz/eMgUuAmsdI6UhMXXqVCQnJ5tsAJcGpd963m4BwNP+7j/99FOZlaO0lNf4SnoemYrr8ePHun7g+dWsWVN3F+4///mPQfqXX35pbvHNsmbNGjx69MhoWlpaGnbs2AGVSoVevXoBePrwjS5duiAzM9Pok5+uXLmCL7/8Es2bNzd6oQ0UXI/36tXL6FN7imLGjBno1KkTdu3ahQULFpjMd+TIEURGRqJ69ep6x0OJMTs7G1999ZXBelFRUdi3bx+aN2+ut1x5upTSkHjw4AGqVq1aqpPUOjg4YOPGjQgMDMSlS5cM0p2dnfHRRx8BABYuXGjwo96BAwdw8eJFBAYG4q233jK6D6XumzJlChISEvDmm29aOApDx48fR+/evZGbm4sZM2aga9euurSpU6fCwcEBK1euNDqWZtasWYiNjdU1QICnkyV6eHjgu+++M/iuy83NxaeffgqNRmPRh47YNWs845ZMM/U898OHD4uzs7M4ODjI3//+d7lw4YL8/vvvEhERIa6urgJAQkJCRKPR6J7dnHeCvPxp9+/f1026B0A0Go3cv3/fIjEo21Ymtpo4caJuQqC8EyPlFxsbKzVq1BB3d3eZP3++xMbGyuXLl2Xx4sXi4+MjPXv21K2v1WoNJlYKDg6WGTNmSGxsrMTExBR5gry85e7Xr5/Z74mpeJWJgTZt2iQqlUrUarV89tlncvnyZTlx4oT06tVLd+yU/aWnpxtMkqWklXRyKGW7EyZM0E02lf8534qHDx9KXFycuLu7CwCZMmWKaDQayczM1M0d0LdvX2ncuLHs2LFDrl+/LkePHtU9fzz/hHL37t3THauAgABdPJmZmUWKobwco/zS0tKkYsWKAkCGDRtWpJjMUdA8D/Hx8eLu7i4VKlSQqKgouXr1qhw6dEhCQ0Nl4MCBevEqZTd2PJT3wtiEXiWdyKss41M+5/nrPkvVb5Y6j1JSUqRq1ari5OQk//rXv+TKlSty4sQJ6dy5s24yOeUzl3f7+SfIi42NldjYWImMjJRXX31VatSoYZH5EpQJVBs2bCgrV66U6OhouXnzppw5c0a+/vpr3cSUM2bM0Fvv7t270qRJE3F0dJRp06ZJdHS0/Pnnn7JmzRqpUaOGtG3bVm8OARH9iU5fffVVXT0eGxsr//d//2exCfIU6enpujktunXrJjt27JArV65IXFycHDx4UMaMGSPOzs7SunVro/MaKDE6OzvLnDlz5MqVKxIdHS3z5s0TtVotkydPNljn/fffFwDy4YcfytWrV2XSpEni6OgoFy5cKHL57927Z1APFnSOnj59WtRqtdF5LPJOkDdo0CDdBHlRUVFSuXJl8fX11ZsgL7+MjAzx9vYWADJw4MAix5JXUlKS0Xr69u3bEh0dLZs3b5Z+/fqJg4ODeHt7y5o1a4xuZ/HixeLg4CDNmjWTH374QeLj4+W3336ToUOHioODg3zzzTcG6+zYsUNcXV2lQYMGsmvXLt2kr6+//rp4eHjI6dOnSxTbs4QNi3JG+YLNOxmP4vjx49K5c2fx9PQUZ2dnqVWrlowePVo2b96sayAgz6QyeZflT1MuAPO+LDWRlLFtK6/CvuySkpJk8uTJ0qBBA3F1dZUqVapISEiILF++XG+m1AcPHuhtNzAwUO7duycRERESEBAgzs7OUrVqVRk9erTRCXzMLbc574mpePNOXLR79255+eWXxd3dXVxdXaV+/foyZcoU+fLLL/XWWbVqld5kUflfJWFsu6YmIFIm78r/OnjwoN6kZOfPn5fXX39dfHx8xNXVVZo2bSpff/21aLVave0pk0MZ215RlJdjZIwyGePRo0eLFJM5CqoXRESOHTsmoaGh4ubmJp6entKtWze5ePGi3mSGAGTZsmUiYvx4KO+FsWNflFnRrR2fqfPHUvWbpc4jEZFLly5J165dpUKFCuLh4SFhYWFy+PBhvckxAcjHH3+st12lrqtataq4uLhInTp1ZOrUqZKRkSE1a9YUAEYviIvizp078tVXX8nAgQMlODhYPD09xcHBQdzd3aV+/fry1ltvyZEjR4yum5aWJrNmzZKmTZuKm5ubVKpUSVq0aCGff/65QaMi73saGBgo6enpMnnyZKldu7a4uLhI1apVJSIiolQat6dOnZJRo0ZJw4YNpUKFCuLq6io1atSQ3r17y5YtWwzqsfwxzpw5U5o0aSJubm7i4+Mj7dq1k02bNhld7+HDhxIeHi7e3t6iVqslKChI1q1bV6xyGzt/CztHV65cabL+0mq1smHDBmnfvr14eXmJi4uL1K1bV8aPHy937twptDzjxo0TAEZntC6K559/3uj5olKppGLFilK7dm3p06ePLF26VNLS0grc1vHjx+WNN94QPz8/cXFxkVq1aknfvn2NTkariI6OlsGDB0u1atXExcVFAgMDZdCgQXL58uUSxfWsUYlY+bEapGfZsmV455130KhRI6O3LomsLTIyEjNmzMD06dMRGRlp7eKUGzNnzsTGjRt1A8Etyd7rBXuPryxVrlwZycnJePToETw9Pa1dHLPEx8ejdu3aCAwM1A0EJyLbxDEWVnT06FGDSYKU5/4bm2GbiMovS820be/1gr3HV9ouXLhgdBwa8HQwcHJyMmrVqmUzjQoisi9sWFhReHi4wZNClIF8YWFh1igSEZnh1q1buon4gKcDc2/duqUbqFsS9l4v2Ht8pe3MmTMYNWqU0UHVy5YtAwAMGzasrItFRASAE+RZ3ZIlS9CmTRvUrl0bu3btws6dO+Hv74+IiAhrF41IT0ZGBh49eqR7jGRaWhoSEhJ0M5o+SxISEvB///d/eP7551G7dm1MnDgRo0ePtti8HfZeL9h7fKXt0aNH6Nq1K6ZPn44GDRogNTUV33zzDWbPno3Q0FBMnjzZ2kU0W0JCgm7+gNzcXCQkJMDR0ZGzIBPZKI6xsKJly5Zhw4YNiI6OxsOHD+Hr64tOnTohMjJS9/hLovIiKirK6C+hz+JYi//+97/o3r074uLi4O7ujl69emHJkiVFmqHcFHuvF+w9vtKWlJSEdevW4fvvv8d///tf3Lt3D46OjmjUqBEGDhyIsWPHwsXFxdrFNJuxuWY41oLIdrFhQUREREREJcYxFkREREREVGJsWBARERERUYmxYUFERERERCXGhgUREREREZUYGxZERERERFRibFgQEZWRmTNnQqVS6V5RUVFWKceTJ0/0ymGpx7xGRkaWi/iIiMg62LAgIgKQnJyMyMhIvPDCC/Dy8oKLiwuqVq2KFi1aYPDgwfj6668RExNTon1MmDABGo0G/fr1s1Cpi0etVkOj0eDkyZMW3e6kSZMKjW/WrFnw8fHBzz//bNF9W1J8fLxeAynv69ChQ3p58zemLN1YM9eBAwfg4+ODTz/9tEz3S0SUFxsWRPTMu3TpEoKDg/Gvf/0L3bt3x4EDB3D16lX8/PPPeP/993H69GlERESgT58+JdqPh4cH/P394ebmZqGSF5+/v7/FZzeuUKFCofFt2LABDx48wPbt2y26b0uqUaOGQcPr5MmT0Gg0aNeunV5epTE1ceJEAEBISAg0Gg1OnTpVpmXesWMHHjx4gPXr15fpfomI8nKydgGIiKxt5MiRSEhIwKZNm9C/f3+9tEaNGuHVV19F8+bNrVQ6+/Lhhx/iq6++MjqLe3nh6OgIf39/PHnyRLfM19cX/v7+BnkrVKigewGAi4uL0Xylbfjw4Thz5gxGjRpV5vsmIlKwYUFEz7RHjx7h2LFjAIAuXboYzePv74/+/fvjwIEDZVk0uzR06FAMHTrU2sWwOy1btsRvv/1m7WIQ0TOOXaGI6Jmm1Wp1f9++fdtkvmnTpmHbtm1G09LT0zF79mw0a9YMHh4ecHNzQ8OGDTFs2DDs3r1bbx/5HTlyBH/9619RsWJFeHp64m9/+xtiY2NN5o+Pj8c777yDwMBAuLi4wNfXF127dsW+fftMrvPHH3+gR48e8Pb2hoeHB1q1aoXVq1ebzF+lShWTYwWGDh2qN5YgPj7e5HbyOnTokN56eRsXR44cMUi7desWBg0ahCpVqsDNzQ2tWrXC7t27C3xf3nzzTfj5+UGtVqN+/fqYNm0a0tPTrTr2Ia/k5GRMnToVQUFBcHNzg5eXF1588UUsX74cubm5enlHjBhhMLZjz549CAsLg5eXl97yguIzNQYk78vPz8+grLdu3cLYsWNRt25dqNVq+Pj4oGPHjkbPgY4dOxp8JlasWIGmTZtCrVbjueeew6hRo5CammrR95OIyiEhInrGVatWTQBIWFiYJCQkFGndu3fvStOmTcXZ2Vlmz54tsbGxEh0dLf/+97/F09NTAMjOnTv11hkyZIgAkGHDhslrr70mJ06ckNjYWJk3b544OjpK9erVJTU11WBfhw8fFi8vL/H19ZV169bJlStXZP/+/dK2bVsBIHPmzDFY5+DBg+Lm5ibe3t6yatUqiYuLk1OnTknfvn3l7bffFgASGBhoENPJkyeNpj18+FA0Go0EBAQIAImLizPYpxLfqlWrdMsyMzNFo9HIF198IQBkyJAhurSsrCy9tG7dusmLL74ou3btkmvXrsmWLVvEx8dHHB0d5dSpUwb7i46OlsqVK4urq6ssWLBArl69KufPn5fRo0dL+/btBYAAEI1GI/fu3TM8iCbExcXp1jUWZ17Tp0/XfYaMuXLlitSsWVMqVKggixcvlqtXr8off/who0ePFgDStWtXyczM1OV/9OiRaDQaCQkJEQASEREhHTp0kMOHD8u1a9fkn//8pwCQgwcPikajMXm8pk+fLv369RONRqP3io2NFX9/f6Ofm2PHjom3t7c899xzsn79eomLi5OTJ09Knz59BICMHDlSL39ycrLeZ+Kdd96R9957Ty5duiS///67vPnmmwJAevToYe5bT0Q2ig0LInrmffXVV7oLSDc3NwkPD5dt27ZJSkpKoet26dJFAMi8efMM0jZs2CAAZMeOHXrLlQtvb29vSUtL00t74403BICsXbtWb/mDBw/kueeeEwBy/PhxvbSMjAypWrWqODg4yMmTJ3XL09PTpXr16gJAvv32W711cnNzpXnz5kYvRkX+d1FtLE1EJDAwsEgNC8WqVasMGhb50wDI0aNH9dIWLlwoAOTtt982WK9FixYCQBYuXGiQ1qNHD902i8pSDYucnBxp0qSJAJCNGzcapIeHhwsA+fDDDw3SwsLCBIBUr15dMjIy9NLq16+ve59MHa/p06cbfa8HDhwoAKRjx46i1Wp1yx8+fChVq1YVAHLs2DG9dXJzc+Xll18WALJ48WKDbSqfiU6dOuktz87OFl9fXwEgN27cMFiPiOwHu0IR0TNv1KhRWLx4MXx8fJCRkYH169ejd+/eqFy5Mjp06IAlS5YgJSXFYL2zZ89iz549cHZ2RkREhEF6nz59UK1aNTg7Oxvdb79+/eDh4aG3rE2bNgCAc+fO6S1fsWIF7t69i5CQELRt21YvTa1WY+jQodBqtViyZIlu+datW3H79m1Ur14dr7/+ut46Dg4OGDNmjOk3xYoaNGhg8PQlU+/L4cOHcfbsWbi4uODtt9822Na4ceMsUqbg4GC9gdr5X7Nnzza57rfffosLFy7oxurkN2HCBADAl19+iQcPHhjdxsiRI6FWq/WWxcbGGrxP+b3zzjuIjIzUW7Zq1Sps3LgRvr6+WLt2LVQqlS5txYoV0Gg0aN26NUJCQvTWc3BwwPjx4wE8nZPFVBe/4cOH6/3v5OSEli1bAnjaLY+I7BcbFkREAEaPHo2bN29i3bp16NOnDypVqoTs7GwcPHgQY8aMQd26dfH999/rrfPjjz8CABo2bIiKFSsabNPZ2Rm3b99Gt27djO6zXr16Bst8fHwAwOACU9lXq1atjG6rTp06AICjR4/qlv3yyy8AoLuoy69Ro0ZGl1tbUd4XJcaGDRsaNNIAy8W4e/dunDt3zuTLWMNSkffY5b2IVzRr1gwuLi548uQJfv31V6PbKG4c1apV0xt3ceXKFYwbN043gWH+J1gpZW3durXR7SnLNRoNLly4YDRPUY4fEdkXPhWKiOj/c3d3R3h4OMLDw5Gbm4ujR49i06ZNWL16NZKSkjBgwABcunQJgYGBAIDr168DQLHng6hcubLBMienp9Vy/sG8N27cAAB8/fXXWLlypcF6Sv68A9Bv3bpVYPms8VhUcxh7X5S7Pvnfl7KKMTAwsMCB38qFszHK58TYIGng6eNtK1euDI1Go8ubnyXmHMnKysKAAQPw+PFjvP/+++jatWuRy/rcc8/p5X3++ecN8hTl+BGRfWHDgojICEdHR4SGhiI0NBSTJk1Cq1at8ODBA2zcuBFTpkyxyD6M/XpdmDFjxmD06NFF2qaIFHk/hSmNbSqK876UZnnKg+K8J/l99NFH+P3339G8eXPMnTvXAqUyzhJlJSLbxK5QRPTMmz17Nk6cOGEyvU6dOhgwYAAA6D1eVblzkZiYWKrly7svEUG9evVMvurWratbJyAgoMDyJSQkmNyfo6MjANO/MCclJRUrDksrSYxlRTl2d+/eNZqem5uL+/fv6+W1tB9++AELFy6Eh4cHNm3aBBcXl2KVNe/y0iorEdkuNiyI6Jm3dOnSAudIAKAbOJu3S8qrr74KAIiJiTH6jP6MjAx07twZS5cuLXEZlX2dPHnSaLqIoFOnTpg0aZJuWVhYGADgzJkzRte5fPmyyf15eXkBMN4nXqPRID093byClzIlxtjYWKSlpRmkFxRjWVGO3alTp4wOeD537hyysrKgVqsRGhpq8f3fuXNHN2/Il19+ifr16+ulR0VF6d47paymGtrK569q1apo0qSJxctKRLaNDQsiIgBr1qzBo0ePjKalpaVhx44dUKlU6NWrl255ixYt0KVLF2RnZ+Orr74yWC8qKgr79u1D8+bNS1y+t99+G/7+/jh+/LhupvC81q9fjwMHDqB9+/a6ZX369EH16tVx584dfPfdd3r5tVotFi9ebHJ/np6eqF27Nh4/foyYmBi9NGNjPKzl5ZdfRosWLZCVlWW0XF9++aUVSqWvR48eaNy4Me7du4eNGzcapC9YsAAAMHbsWHh7e1t031qtFoMHD9aNERo2bJhBnmHDhunuQCmfs9OnT+PIkSMG21q4cCEA4OOPP4aDAy8hiEgfawUieuYpswW3bdsWq1atwqVLl3Dr1i2cPXsWS5cuRatWrRAfH4/IyEi0aNFCb92oqCg0adIEH3/8MebOnYs///wTly5dwmeffYYPPvgAkydPxgsvvADg6R2MhIQEZGRkAAAePXqEhIQE5ObmIjc3FwkJCbrGTf68Xl5e2L59O7y8vNCjRw+sWLEC165dw8WLFzF79myMHDkS48aNw9/+9jdd2dzc3LBu3Tq4ublh6NChWL16Na5fv44zZ85gwIAB8PT0BADdvpOTk/ViU8ZyDB06FEePHkV8fDz+85//4OzZs6hZsyaAp12QlO5GaWlpRuPLyMhAVlaW0fjS0tIKjT0xMVHX1Sl/XgBYu3YtKleujMmTJ2PhwoW692Xs2LEFDqo2RdlH3u5VSpxZWVl6eZWYlV/8lTjzruvo6Iht27ahRo0aukcbX7t2DRcuXMCYMWOwfv16dO3aFbNmzTLYrrK/5ORkg7gVefeX/1jOmTMHP//8M7y9vTFu3DhcvHjR4JWX8jnz9vZG7969sX79ely/fh2nT5/GgAEDcPjwYYwYMULvUcV5P8fKe6WUp6DPPBHZIavOokFEVA7cuXNHvvrqKxk4cKAEBweLp6enODg4iLu7u9SvX1/eeustOXLkiMn109LSZObMmdKkSRNxc3MTHx8fadeunWzatElv8rG8E8DlfcXFxelNxpb3lX+SuRs3bsjo0aOlVq1a4uLiIv7+/tK+fXvZsmWL3r7yOnfunHTv3l28vLxErVZLUFCQzJkzR65cuaK3rzZt2uitp9VqZe7cuVKnTh1xdnaWgIAAmTx5sjx58kQ3GZryys7O1k0SZyyGgwcPGk2bPn16obHn3xeMTLB37do1GTRokG4G7oYNG8q8efMkOztbAIhKpTL782CqPPj/M13nZSpmYxML3r9/X6ZMmSINGjQQV1dXqVixooSEhMjSpUslJyfHrO0am+zOWD5lor5atWqZjCX/ZzCvGzduyJgxY6R27dri4uIilSpVkg4dOsiWLVsM9q9MiGgs/oI+80Rkf1Qidv4oDSIiemalpqbC09MT3t7eBndkiIjIstgVioiIbNqRI0ewd+9eo2mXLl0CAKPzLRARkWWxYUFERDbtwIEDGD9+PLKzsw3SlCdyGRu0TERElsWGBRER2bwrV67gjTfewOHDh3Hjxg2cPXsWY8aMwcqVKzFgwAAMHjzY2kUkIrJ7HGNBREQ27caNG1i3bh12796N+Ph4JCYmQq1Wo2nTphg2bBiGDRvG2aCJiMoAGxZERERERFRi7ApFREREREQlxoYFERERERGVGBsWRERERERUYmxYEBERERFRibFhQUREREREJcaGBRERERERlRgbFkREREREVGJsWBARERERUYn9P1DZzk+DC7hDAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)#, inventory_zero = {houston: {(LiI, Power): 1}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 289547 rows, 245377 columns and 765239 nonzeros\n", - "Model fingerprint: 0x40f918d7\n", - "Variable types: 245367 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [6e-05, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 216172 rows and 172364 columns\n", - "Presolve time: 0.50s\n", - "Presolved: 73375 rows, 73013 columns, 227783 nonzeros\n", - "Variable types: 73012 continuous, 1 integer (1 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 55216 5.6226745e+06 0.000000e+00 8.560840e+09 5s\n", - " 61176 4.2651144e+06 0.000000e+00 2.494766e+09 10s\n", - " 66006 3.1305647e+06 0.000000e+00 1.592553e+09 15s\n", - " 70641 2.9774619e+06 0.000000e+00 2.781125e+08 20s\n", - " 74446 2.9288401e+06 0.000000e+00 4.734728e+08 25s\n", - " 77866 2.9047534e+06 0.000000e+00 1.178065e+08 30s\n", - " 82523 2.8790691e+06 0.000000e+00 9.966919e+07 35s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 70709 2.8512680e+06 0.000000e+00 0.000000e+00 39s\n", - "\n", - "Root relaxation: objective 2.851268e+06, 70709 iterations, 37.94 seconds (93.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 2851268.0015 2851268.00 0.00% - 38s\n", - "\n", - "Explored 1 nodes (70709 simplex iterations) in 38.79 seconds (93.80 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 2.85127e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.851268001488e+06, best bound 2.851268001487e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4.276474354795854" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']*0.15/(1000* results_cost.output['S_network']['H2(C)', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('H2(C)', 0): 100.00999999999985, ('O2', 0): 800.249652247669}" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'H2_Comp', 0): 0.030856584416579624,\n", - " ('HO', 'LiI', 0): 0.043270733572542956,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'PEM', 0): 0.08723942441781064,\n", - " ('HO', 'PSH', 0): 0.005609290145064095,\n", - " ('HO', 'PSH_discharge', 0): 100000.0,\n", - " ('HO', 'PV', 0): 0.0,\n", - " ('HO', 'WF', 0): 0.6265508552306444}" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='PEM',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='PSH_Power_stored',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.utils.scale_utils import scale_tuple\n", - "\n", - "time = scale_tuple(milp_cost, 3)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "('HO', 'SMRH', 0, 0, 0)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[33], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m Inv \u001b[39m=\u001b[39m [results_cost\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mInv\u001b[39m\u001b[39m'\u001b[39m][\u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mPSH_Power_stored\u001b[39m\u001b[39m'\u001b[39m, i[\u001b[39m0\u001b[39m], i[\u001b[39m1\u001b[39m], i [\u001b[39m2\u001b[39m]] \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m time]\n\u001b[1;32m----> 2\u001b[0m SMR_P \u001b[39m=\u001b[39m [results_cost\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mP\u001b[39m\u001b[39m'\u001b[39m][\u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mSMRH\u001b[39m\u001b[39m'\u001b[39m, i[\u001b[39m0\u001b[39m], i[\u001b[39m1\u001b[39m], i [\u001b[39m2\u001b[39m]] \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m time]\n\u001b[0;32m 3\u001b[0m PV_P \u001b[39m=\u001b[39m [results_cost\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mP\u001b[39m\u001b[39m'\u001b[39m][\u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mPV\u001b[39m\u001b[39m'\u001b[39m, i[\u001b[39m0\u001b[39m], i[\u001b[39m1\u001b[39m], i [\u001b[39m2\u001b[39m]] \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m time]\n", - "Cell \u001b[1;32mIn[33], line 2\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 1\u001b[0m Inv \u001b[39m=\u001b[39m [results_cost\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mInv\u001b[39m\u001b[39m'\u001b[39m][\u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mPSH_Power_stored\u001b[39m\u001b[39m'\u001b[39m, i[\u001b[39m0\u001b[39m], i[\u001b[39m1\u001b[39m], i [\u001b[39m2\u001b[39m]] \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m time]\n\u001b[1;32m----> 2\u001b[0m SMR_P \u001b[39m=\u001b[39m [results_cost\u001b[39m.\u001b[39;49moutput[\u001b[39m'\u001b[39;49m\u001b[39mP\u001b[39;49m\u001b[39m'\u001b[39;49m][\u001b[39m'\u001b[39;49m\u001b[39mHO\u001b[39;49m\u001b[39m'\u001b[39;49m, \u001b[39m'\u001b[39;49m\u001b[39mSMRH\u001b[39;49m\u001b[39m'\u001b[39;49m, i[\u001b[39m0\u001b[39;49m], i[\u001b[39m1\u001b[39;49m], i [\u001b[39m2\u001b[39;49m]] \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m time]\n\u001b[0;32m 3\u001b[0m PV_P \u001b[39m=\u001b[39m [results_cost\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mP\u001b[39m\u001b[39m'\u001b[39m][\u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m'\u001b[39m\u001b[39mPV\u001b[39m\u001b[39m'\u001b[39m, i[\u001b[39m0\u001b[39m], i[\u001b[39m1\u001b[39m], i [\u001b[39m2\u001b[39m]] \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m time]\n", - "\u001b[1;31mKeyError\u001b[0m: ('HO', 'SMRH', 0, 0, 0)" - ] - } - ], - "source": [ - "Inv = [results_cost.output['Inv']['HO', 'PSH_Power_stored', i[0], i[1], i [2]] for i in time]\n", - "SMR_P = [results_cost.output['P']['HO', 'SMRH', i[0], i[1], i [2]] for i in time]\n", - "PV_P = [results_cost.output['P']['HO', 'PV', i[0], i[1], i [2]] for i in time]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Inv_p = Inv[24*7:24*14]\n", - "SMR_p = SMR_P[24*7:24*14]\n", - "PV_p = PV_P[24*7:24*14]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import rc\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "ax.plot(SMR_p, alpha = 0.9, label = 'SMR', color = 'green')\n", - "ax.plot(PV_p, alpha = 0.9, label = 'PV')\n", - "ax2 = ax.twinx()\n", - "# ax2.bar(list(range(len(Inv_p))), Inv_p)\n", - "ax2.plot(Inv_p, alpha = 0.9, label = 'Pumped Hydro', color = 'red', linestyle = '--')\n", - "ax.set_ylabel(\"MW\")\n", - "ax2.set_ylabel(\"MW Lithium-ion Storage\", color = 'red')\n", - "ax.set_xlabel(\"Hours in a week 2\")\n", - "plt.title('Production Rates and Inventory')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "ax.legend(loc = 'upper left')\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 0.3826759179729714,\n", - " ('HO', 'H2_Comp', 0): 0.0410033080393429,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'NGCC', 0): 0.20941246570555647,\n", - " ('HO', 'PSH', 0): 0.045996929664551545,\n", - " ('HO', 'PSH_discharge', 0): 100000.0,\n", - " ('HO', 'PV', 0): 0.9325017956396898,\n", - " ('HO', 'SMRH', 0): 0.0410033080393429,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 91, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.capacity_utilization(results= results_cost, location='HO', process='PV')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{AqOff, H2_Comp, LiI, LiI_discharge, NGCC, PSH, PSH_discharge, PV, SMRH, WF}" - ] - }, - "execution_count": 93, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_set" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "28.490292611887202" - ] - }, - "execution_count": 94, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']/(results_cost.output['S_network'][ ('H2(C)', 0)]*1000)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 2044839.2619178582},\n", - " {0: 71829.65217797832},\n", - " {0: 703051.2055296759},\n", - " {('CH4', 0): 29591.674252334837,\n", - " ('H2O', 0): 2.3702369999999964,\n", - " ('Solar', 0): 0.0,\n", - " ('Wind', 0): 0.0})" - ] - }, - "execution_count": 95, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_network'], results_cost.output['Fopex_network'], results_cost.output['Vopex_network'], results_cost.output['B_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 2044839.2619178582},\n", - " {0: 71829.65217797832},\n", - " {0: 703051.2055296759},\n", - " {('CH4', 0): 29591.674252334837,\n", - " ('H2O', 0): 2.3702369999999964,\n", - " ('Solar', 0): 0.0,\n", - " ('Wind', 0): 0.0})" - ] - }, - "execution_count": 96, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_network'], results_cost.output['Fopex_network'], results_cost.output['Vopex_network'], results_cost.output['B_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 1.0,\n", - " ('HO', 'H2_Comp', 0): 1.0,\n", - " ('HO', 'LiI', 0): 1.0,\n", - " ('HO', 'LiI_discharge', 0): 1.0,\n", - " ('HO', 'NGCC', 0): 1.0,\n", - " ('HO', 'PSH', 0): 4.599692466455154e-07,\n", - " ('HO', 'PSH_discharge', 0): 1.0,\n", - " ('HO', 'PV', 0): 1.0,\n", - " ('HO', 'SMRH', 0): 1.0,\n", - " ('HO', 'WF', 0): 1.0}" - ] - }, - "execution_count": 97, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "milp_h2_max = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE}, objective=Objective.MAX_DISCHARGE, inventory_zero = {houston: {(LiI, Power): 100}}, objective_resource = H2_C)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 368400 rows, 315469 columns and 1001714 nonzeros\n", - "Model fingerprint: 0x40c2ea93\n", - "Coefficient statistics:\n", - " Matrix range [6e-05, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-02, 1e+05]\n", - "Presolve removed 359651 rows and 297970 columns\n", - "Presolve time: 0.38s\n", - "Presolved: 8749 rows, 17499 columns, 26247 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier performed 0 iterations in 0.39 seconds (0.43 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 3.6962025e+05 0.000000e+00 0.000000e+00 1s\n", - "\n", - "Solved in 0 iterations and 0.59 seconds (0.58 work units)\n", - "Optimal objective 3.696202532e+05\n" - ] - } - ], - "source": [ - "results_h2_max = solve(scenario=scenario, instance=milp_h2_max, solver='gurobi',\n", - " name=f\"results_slsp_h2_max\", print_solversteps=True, saveformat='.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/ml-mp.ipynb b/examples/multiperiod-examples/ml-mp.ipynb deleted file mode 100644 index 89925ba8..00000000 --- a/examples/multiperiod-examples/ml-mp.ipynb +++ /dev/null @@ -1,1590 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - Lithium-ion batteries (LiI), Solar Photovoltaics (PV), Wind Farms (WF), Steam Methane Reforming + CCUS SMRH, SMR, Hydrogen Fuel Cells (H2FC), Direct Air Capture (DAC), Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "CH4, CO2, CO2_DAC, CO2_Vent, H2, H2O, Power, Solar, Wind\n", - "\n", - "LiI_Power_stored is generated implicitly as Power stored in LiI " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../src')\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "from pyearth import Earth\n", - "import pyomo.environ as pyo\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str, index:list):\n", - " df = pandas.read_csv(f'data/{loc}_solar19.csv')\n", - " df['idx'] = index\n", - " df = df.set_index('idx')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "idx = [(i,j,k) for i,j,k in product(range(1), range(365), range(24))]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "weather_ny = load_data('ny', idx)[['DNI', 'Wind Speed']]\n", - "weather_ny = weather_ny.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - "weather_sd = load_data('sd', idx)[['dni', 'wind_speed']]\n", - "weather_ho = load_data('ho', idx)[['dni', 'wind_speed']]\n", - "\n", - "weather_ho = pandas.concat([weather_ho]*31)\n", - "weather_ny = pandas.concat([weather_ny]*31)\n", - "weather_sd = pandas.concat([weather_sd]*31)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "demand_sd = pandas.read_excel('data/HistoricalEMSHourlyLoad-2019.xlsx', index_col= 0)[['SDGE']]\n", - "demand_ho = pandas.read_excel('data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_ny = pandas.DataFrame(pandas.read_csv('data/NYC_load.csv')['Load']) #from Will and Doga\n", - "# Fix Index\n", - "# demand_sd = demand_sd.set_index(weather_ho.index)\n", - "# demand_ho = demand_ho.set_index(weather_ho.index)\n", - "# demand_ny = demand_ny.set_index(weather_ho.index)\n", - "demand_ho = pandas.concat([demand_ho]*31)\n", - "demand_ny = pandas.concat([demand_ny]*31)\n", - "demand_sd = pandas.concat([demand_sd]*31)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Natural gas prices from Henry Hub Price Index** \n", - "\n", - "We use the special function energiapy.make_henry_price_df because of special requirements such as filling in empty data points (weekends, public holidays). Such function will be generalized in the next update of energipy" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price = make_henry_price_df(\n", - " file_name='data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020, stretch=True)\n", - "ng_price = ng_price.drop(columns= 'scales')\n", - "ng_price = remove_outliers(ng_price, sd_cuttoff = 3)\n", - "# ng_price = ng_price.set_index(weather_ho.index) #Fix index\n", - "ng_price = pandas.concat([ng_price]*31)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype = {\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string', \n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value', 'scenario']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis = 'columns')\n", - " df_out = df_out.loc[:,~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns = ['index'])\n", - " return df_out" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'UtilityPV', techdetail = 'Class1', scenario = 'Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'LandbasedWind', techdetail = 'Class1', scenario = 'Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'R&D', crpyear = 30, technology = 'Commercial Battery Storage', techdetail = '8Hr Battery Storage', scenario = 'Advanced'),\n", - " 'PSH': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Pumped Storage Hydropower', techdetail = 'NatlClass10', scenario = 'Advanced'),\n", - " 'ASMR': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'NuclearSMR', scenario = 'Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'Nuclear', scenario = 'Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'NaturalGas_FE', techdetail = 'CCCCSHFrame95%', scenario = 'Conservative'),\n", - " 'SMR': pandas.DataFrame([(1 - i/(31*15)) for i in range(31)])\n", - " }\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'UtilityPV', techdetail = 'Class1', scenario = 'Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'LandbasedWind', techdetail = 'Class1', scenario = 'Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'R&D', crpyear = 30, technology = 'Commercial Battery Storage', techdetail = '8Hr Battery Storage', scenario = 'Moderate'),\n", - " 'PSH': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Pumped Storage Hydropower', techdetail = 'NatlClass10', scenario = 'Moderate'),\n", - " 'ASMR': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'NuclearSMR', scenario = 'Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'Nuclear', scenario = 'Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'NaturalGas_FE', techdetail = 'CCCCSHFrame95%', scenario = 'Conservative'),\n", - " 'SMR': pandas.DataFrame([(1 - i/(31*15)) for i in range(31)])\n", - " }\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'UtilityPV', techdetail = 'Class1', scenario = 'Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'LandbasedWind', techdetail = 'Class1', scenario = 'Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'R&D', crpyear = 30, technology = 'Commercial Battery Storage', techdetail = '8Hr Battery Storage', scenario = 'Conservative'),\n", - " 'PSH': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Pumped Storage Hydropower', techdetail = 'NatlClass10', scenario = 'Conservative'),\n", - " 'ASMR': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'NuclearSMR', scenario = 'Moderate'), #no cons, adv\n", - " 'NPP': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'Nuclear', techdetail = 'Nuclear', scenario = 'Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters= param_list, core_metric_case = 'Market', crpyear = 30, technology = 'NaturalGas_FE', techdetail = 'CCCCSHFrame95%', scenario = 'Conservative'),\n", - " 'SMR': pandas.DataFrame([(1 - i/(31*15)) for i in range(31)])\n", - " \n", - " }" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[31, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated', varying = VaryingResource.DETERMINISTIC_PRICE)\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM, price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource')\n", - "\n", - "H2_L = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource', store_max = 10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='kg', label='Carbon dioxide - sequestered', store_max = 10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM**2,\n", - " price= 0.001, basis='kg', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM**2, price=1, basis='kg', label='Natural gas', varying= VaryingResource.DETERMINISTIC_PRICE)\n", - "\n", - "CO2 = Resource(name='CO2', basis='kg', label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='kg', label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='kg', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='kg', label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
CAPEXscenarioFixed O&MVariable O&M
07988.951077Moderate114.03.6
17939.023405Moderate114.03.6
27889.095733Moderate114.03.6
37839.168060Moderate114.03.6
47789.232492Moderate114.03.6
57739.302598Moderate114.03.6
67724.084213Moderate114.03.6
77708.598482Moderate114.03.6
87692.849543Moderate114.03.6
97676.828993Moderate114.03.6
107660.536149Moderate114.03.6
117609.462952Moderate114.03.6
127558.391956Moderate114.03.6
137507.325136Moderate114.03.6
147456.248574Moderate114.03.6
157405.179336Moderate114.03.6
167354.108331Moderate114.03.6
177303.041512Moderate114.03.6
187251.970235Moderate114.03.6
197200.900166Moderate114.03.6
207149.831883Moderate114.03.6
217098.756059Moderate114.03.6
227047.685694Moderate114.03.6
236996.615060Moderate114.03.6
246945.544393Moderate114.03.6
256894.480137Moderate114.03.6
266843.408758Moderate114.03.6
276792.338424Moderate114.03.6
286741.264344Moderate114.03.6
296690.194044Moderate114.03.6
306639.123862Moderate114.03.6
\n", - "
" - ], - "text/plain": [ - " CAPEX scenario Fixed O&M Variable O&M\n", - "0 7988.951077 Moderate 114.0 3.6\n", - "1 7939.023405 Moderate 114.0 3.6\n", - "2 7889.095733 Moderate 114.0 3.6\n", - "3 7839.168060 Moderate 114.0 3.6\n", - "4 7789.232492 Moderate 114.0 3.6\n", - "5 7739.302598 Moderate 114.0 3.6\n", - "6 7724.084213 Moderate 114.0 3.6\n", - "7 7708.598482 Moderate 114.0 3.6\n", - "8 7692.849543 Moderate 114.0 3.6\n", - "9 7676.828993 Moderate 114.0 3.6\n", - "10 7660.536149 Moderate 114.0 3.6\n", - "11 7609.462952 Moderate 114.0 3.6\n", - "12 7558.391956 Moderate 114.0 3.6\n", - "13 7507.325136 Moderate 114.0 3.6\n", - "14 7456.248574 Moderate 114.0 3.6\n", - "15 7405.179336 Moderate 114.0 3.6\n", - "16 7354.108331 Moderate 114.0 3.6\n", - "17 7303.041512 Moderate 114.0 3.6\n", - "18 7251.970235 Moderate 114.0 3.6\n", - "19 7200.900166 Moderate 114.0 3.6\n", - "20 7149.831883 Moderate 114.0 3.6\n", - "21 7098.756059 Moderate 114.0 3.6\n", - "22 7047.685694 Moderate 114.0 3.6\n", - "23 6996.615060 Moderate 114.0 3.6\n", - "24 6945.544393 Moderate 114.0 3.6\n", - "25 6894.480137 Moderate 114.0 3.6\n", - "26 6843.408758 Moderate 114.0 3.6\n", - "27 6792.338424 Moderate 114.0 3.6\n", - "28 6741.264344 Moderate 114.0 3.6\n", - "29 6690.194044 Moderate 114.0 3.6\n", - "30 6639.123862 Moderate 114.0 3.6" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "moderate_dict['ASMR']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = {LiI, WF, PV, SMRH, SMR, H2FC, DAC, H2_L_c, AQoff_SMR, ASMR, PSH, NGCC}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
CAPEXscenarioFixed O&MVariable O&M
02158.928841Conservative53.324.09
12158.928841Conservative53.324.09
22014.196182Conservative53.324.09
31996.652829Conservative53.324.09
41970.337800Conservative53.324.09
51948.408609Conservative53.324.09
61929.768797Conservative53.324.09
71910.032525Conservative53.324.09
81893.585632Conservative53.324.09
91876.042279Conservative53.324.09
101861.788305Conservative53.324.09
111845.341412Conservative53.324.09
121829.990978Conservative53.324.09
131814.640545Conservative53.324.09
141800.386571Conservative53.324.09
151785.036137Conservative53.324.09
161769.685703Conservative53.324.09
171755.431729Conservative53.324.09
181740.081296Conservative53.324.09
191724.730862Conservative53.324.09
201709.380428Conservative53.324.09
211695.126454Conservative53.324.09
221679.776021Conservative53.324.09
231664.425587Conservative53.324.09
241649.075154Conservative53.324.09
251634.821179Conservative53.324.09
261619.470746Conservative53.324.09
271604.120312Conservative53.324.09
281589.866338Conservative53.324.09
291576.708824Conservative53.324.09
301563.551309Conservative53.324.09
\n", - "
" - ], - "text/plain": [ - " CAPEX scenario Fixed O&M Variable O&M\n", - "0 2158.928841 Conservative 53.32 4.09\n", - "1 2158.928841 Conservative 53.32 4.09\n", - "2 2014.196182 Conservative 53.32 4.09\n", - "3 1996.652829 Conservative 53.32 4.09\n", - "4 1970.337800 Conservative 53.32 4.09\n", - "5 1948.408609 Conservative 53.32 4.09\n", - "6 1929.768797 Conservative 53.32 4.09\n", - "7 1910.032525 Conservative 53.32 4.09\n", - "8 1893.585632 Conservative 53.32 4.09\n", - "9 1876.042279 Conservative 53.32 4.09\n", - "10 1861.788305 Conservative 53.32 4.09\n", - "11 1845.341412 Conservative 53.32 4.09\n", - "12 1829.990978 Conservative 53.32 4.09\n", - "13 1814.640545 Conservative 53.32 4.09\n", - "14 1800.386571 Conservative 53.32 4.09\n", - "15 1785.036137 Conservative 53.32 4.09\n", - "16 1769.685703 Conservative 53.32 4.09\n", - "17 1755.431729 Conservative 53.32 4.09\n", - "18 1740.081296 Conservative 53.32 4.09\n", - "19 1724.730862 Conservative 53.32 4.09\n", - "20 1709.380428 Conservative 53.32 4.09\n", - "21 1695.126454 Conservative 53.32 4.09\n", - "22 1679.776021 Conservative 53.32 4.09\n", - "23 1664.425587 Conservative 53.32 4.09\n", - "24 1649.075154 Conservative 53.32 4.09\n", - "25 1634.821179 Conservative 53.32 4.09\n", - "26 1619.470746 Conservative 53.32 4.09\n", - "27 1604.120312 Conservative 53.32 4.09\n", - "28 1589.866338 Conservative 53.32 4.09\n", - "29 1576.708824 Conservative 53.32 4.09\n", - "30 1563.551309 Conservative 53.32 4.09" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "conservative_dict['NGCC']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 3516428, fopex= 87910, vopex = 0, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=1462000, fopex=43000, vopex=4953, prod_max=bigM, label='Wind mill array', varying= VaryingProcess.DETERMINISTIC_CAPACITY, basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex = 1333262, fopex= 22623, vopex=0, prod_max=bigM, varying = VaryingProcess.DETERMINISTIC_CAPACITY, label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520, fopex = 945, vopex = 0.0515,\\\n", - " prod_max= bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name= 'NGCC', conversion = {Power: 1, CH4: -108, CO2_Vent: 297*0.05, CO2:297*0.95}, capex = 2158928, fopex= 53320, vopex = 4090, prod_max= bigM, label = 'NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-50, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = bigM, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex = 3924781, fopex= 17820, vopex = 512.5, store_max = 10000, prod_max=bigM, label='Pumped storage hydropower', basis = 'MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -4.17*10**(-4), H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, capex = 0.730, fopex= 114000, vopex= 3600, prod_max=bigM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3364.1, Power: 1}, capex = \t7988951, fopex= 0.04*0.730, vopex= 0, prod_max=bigM, label='Small modular reactors (SMRs)')\n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -0.00128, CO2_AQoff: 1, CO2: -1}, capex = 0.00552, vopex = 0.00414, fopex = 0, prod_max= bigM, label='Offshore aquifer CO2 sequestration (SMR)')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ho[['dni']], WF: weather_ho[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ho}, cost_factor = {CH4: ng_price}, scales=scales, label='Houston', capex_factor = {PV: advanced_dict['PV'][['CAPEX']]},\n", - " expenditure_scale_level = 0, demand_scale_level=2, capacity_scale_level= 2, cost_scale_level= 2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "sandiego = Location(name='SD', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_sd[['dni']], WF: weather_sd[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_sd}, cost_factor = {CH4: ng_price}, scales=scales, label='SanDiego', demand_scale_level=2, capacity_scale_level= 2, cost_scale_level= 2)\n", - "\n", - "newyork = Location(name='NY', processes= {LiI, PV, WF, SMRH, H2FC, DAC, AQoff_SMR}, capacity_factor = {PV: weather_ny[['dni']], WF: weather_ny[['wind_speed']]},\\\n", - " demand_factor= {Power: demand_ny}, cost_factor = {CH4: ng_price}, scales=scales, label='NewYork', demand_scale_level=2, capacity_scale_level= 2, cost_scale_level= 2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Train_H2 = Transport(name= 'Train_H2', resources= {H2}, trans_max= bigM, trans_loss= 0.03, trans_cost= 1.667*10**(-3)\\\n", - " , label= 'Railway for hydrogen transportation')\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.001, trans_cost= 0.5*10**(-3), label= 'Railroad transport')\n", - "\n", - "distance_matrix = [\n", - " [0, 2366, 2620],\n", - " [2366, 0, 4440],\n", - " [2620, 4440, 0]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[], [Grid, Train_H2], [Grid, Train_H2]],\n", - " [[Grid, Train_H2], [], [Grid, Train_H2]],\n", - " [[Grid, Train_H2], [Grid, Train_H2], []] \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [houston, sandiego, newyork], sink_locations= [houston, sandiego, newyork], distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= network, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, \\\n", - " network_scale_level= 0, demand_scale_level= 2, label= 'full_case', demand = {newyork: {Power: 80}, houston: {Power: 0}, sandiego: {Power: 0}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'HO': {'PV': {(0,): 1.0,\n", - " (1,): 0.8744420044837665,\n", - " (2,): 0.82874979430123,\n", - " (3,): 0.7830575841186935,\n", - " (4,): 0.7373653739361569,\n", - " (5,): 0.6916731637536205,\n", - " (6,): 0.646477069583177,\n", - " (7,): 0.601210347443466,\n", - " (8,): 0.5558730999896487,\n", - " (9,): 0.5104654294812088,\n", - " (10,): 0.46498743778432655,\n", - " (11,): 0.4592685970537738,\n", - " (12,): 0.4535497563232212,\n", - " (13,): 0.44783091559266847,\n", - " (14,): 0.44211207486211573,\n", - " (15,): 0.43639323413156306,\n", - " (16,): 0.4306743934010103,\n", - " (17,): 0.4249555526704577,\n", - " (18,): 0.41923671193990497,\n", - " (19,): 0.4135178712093523,\n", - " (20,): 0.40779903047879956,\n", - " (21,): 0.40208018974824694,\n", - " (22,): 0.3963613490176942,\n", - " (23,): 0.3906425082871416,\n", - " (24,): 0.38492366755658886,\n", - " (25,): 0.37920482682603623,\n", - " (26,): 0.37348598609548356,\n", - " (27,): 0.36776714536493094,\n", - " (28,): 0.36204830463437826,\n", - " (29,): 0.35632946390382564,\n", - " (30,): 0.35061062317327346}},\n", - " 'NY': None,\n", - " 'SD': None}" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.capex_factor" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plot_scenario.capacity_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'orange')\n", - "# plot_scenario.capacity_factor(scenario = scenario, location= sandiego, process= WF, fig_size= (9,5), color= 'blue')\n", - "# plot_scenario.demand_factor(scenario = scenario, location= newyork, resource= Power, fig_size= (9,5), color= 'red')\n", - "plot_scenario.capex_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'black')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for demand**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# milp_demand = formulate(scenario= scenario, constraints={Constraints.cost, Constraints.inventory,\\\n", - "# Constraints.production, Constraints.resource_balance, Constraints.transport, Constraints.mode}, \\\n", - "# objective=Objective.demand)\n", - "# results_demand = solve(scenario = scenario, instance= milp_demand, solver= 'gurobi', name=f\"results_demand\", print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "milp_cost = formulate(scenario= scenario, constraints={Constraints.COST, Constraints.INVENTORY,\\\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.MODE}, \\\n", - " objective=Objective.COST, write_lpfile = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "results_cost = solve(scenario = scenario, instance= milp_cost, solver= 'gurobi', name=f\"results_cost\", print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Load results**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_cost = load_results(filename= 'results_cost.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (8,6))\n", - "plot_results.transport(results= results_cost, source= 'SD', sink = 'NY', resource= 'Power', transport = 'Grid')\n", - "plot_results.transport(results= results_cost, source= 'HO', sink = 'NY', resource= 'Power', transport = 'Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'P', component= 'WF', location = 'HO', fig_size= (9,5), color = 'steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'S', component= 'Power', location= 'NY')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_scenario.cost_factor(scenario= scenario, location= houston, resource= CH4)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston, process= PV)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston,process= WF)\n", - "plot_scenario.demand_factor(scenario= scenario, location= houston, resource= Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "kmeans = KMeans(n_clusters = 60, random_state = 0, n_init = 'auto').fit(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "red = kmeans.cluster_centers_ " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "help(Scenario)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/ml-sp-milp.ipynb b/examples/multiperiod-examples/ml-sp-milp.ipynb deleted file mode 100644 index e40d5c1a..00000000 --- a/examples/multiperiod-examples/ml-sp-milp.ipynb +++ /dev/null @@ -1,1523 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations (Houston, San Diego, and New York) along with their fluctuating local demand (demand factors), weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The solved case study seeks to meet a varying demand for power in New York through hydrogen fuel cells. The hydrogen can be produced in San Diego and Houston through the green or blue pathway. The hydrogen is transported through trains\n", - "\n", - "\n", - "The following processes are considered -\n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "\n", - "- Alkaline Water Electrolyzers (AWE)\n", - "\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "\n", - "- Solar Photovoltaics (PV)\n", - "\n", - "- Wind Farms (WF)\n", - "\n", - "- Steam Methane Reforming (SMR)\n", - "\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "\n", - "- Direct Air Capture (DAC)\n", - "\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "\n", - "- Carbon Dioxide (CO2)\n", - "\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "\n", - "- CO2 Captured from air (CO2_DAC)\n", - "\n", - "- Vented CO2 (CO2_Vent)\n", - "\n", - "- Hydrogen (H2)\n", - "\n", - "- Water (H2O)\n", - "\n", - "- Stored hydrogen (H2_L)\n", - "\n", - "- Power stored in LiI (LiI_Power)\n", - "\n", - "- Oxygen (O2)\n", - "\n", - "- Power stored in PSH (PSH_Power)\n", - "\n", - "- Power\n", - "\n", - "- Solar\n", - "\n", - "- Uranium\n", - "\n", - "- Wind" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.model.constraints.resource_balance import constraint_specific_location_discharge\n", - "from itertools import product" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str, index:list):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " df['idx'] = index\n", - " df = df.set_index('idx')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "idx = [(i,j,k) for i,j,k in product(range(1), range(365), range(24))]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "weather_ny = load_data('ny', idx)[['DNI', 'Wind Speed']]\n", - "weather_ny = weather_ny.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - "weather_sd = load_data('sd', idx)[['dni', 'wind_speed']]\n", - "weather_ho = load_data('ho', idx)[['dni', 'wind_speed']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "demand_sd = pandas.read_excel('../data/HistoricalEMSHourlyLoad-2019.xlsx', index_col= 0)[['SDGE']]\n", - "demand_ho = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_ny = pandas.DataFrame(pandas.read_csv('../data/NYC_load.csv')['Load']) #from Will and Doga" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Natural gas prices from Henry Hub Price Index** \n", - "\n", - "We use the special function energiapy.make_henry_price_df because of special requirements such as filling in empty data points (weekends, public holidays). Such function will be generalized in the next update of energipy" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020)\n", - "ng_price = ng_price.drop(columns= 'scales')\n", - "ng_price = remove_outliers(ng_price, sd_cuttoff = 3)\n", - "ng_price = pandas.concat([ng_price])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', varying = [VaryingResource.DETERMINISTIC_DEMAND], demand = True)\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM, price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen', block='Resource', store_max = 10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons', label='Carbon dioxide - sequestered', store_max = 10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price= 0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons', label='Natural gas', varying= [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons', label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons', label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons', label='Carbon dioxide - captured')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', storage= Power, capex = 3516428, fopex= 87910, vopex = 0, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=1462000, fopex=43000, vopex=4953, prod_max=bigM, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex = 1333262, fopex= 22623, vopex=0, prod_max=bigM, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520000, fopex = 945000, vopex = 51.5,\\\n", - " prod_max= bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name= 'NGCC', conversion = {Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2:0.297*0.95}, capex = 2158928, fopex= 53320, vopex = 4090, prod_max= bigM, label = 'NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-0.050, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = bigM, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex = 3924781, fopex= 17820, vopex = 512.5, store_max = 10000, prod_max=bigM, label='Pumped storage hydropower', basis = 'MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1}, capex = 730, fopex= 114, vopex= 3.6, prod_max=bigM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1}, capex = 7988951, fopex= 0.04*0.730, vopex= 0, prod_max=bigM, label='Small modular reactors (SMRs)')\n", - "\n", - "AWE = Process(name='AWE', conversion={Power: -1, H2: 0.019, O2: 0.7632, H2O: -0.1753}, capex = 1.1*10**6, fopex = 16918, vopex = 0, prod_max=bigM, label='Alkaline water electrolysis (AWE)', citation='Demirhan et al. 2018 AIChE paper') \n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex = 5.52, vopex = 4.14, fopex = 0, prod_max= bigM, label='Offshore aquifer CO2 sequestration (SMR)')" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = {LiI, WF, PV, SMRH, SMR, DAC, AWE, H2_L_c, H2_L_d, AQoff_SMR, ASMR, PSH, NGCC}" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare locations" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes={LiI, PV, WF, SMRH, AWE, AQoff_SMR}, capacity_factor={PV: weather_ho[['dni']], WF: weather_ho[['wind_speed']]}, demand_factor={\n", - " Power: demand_ho}, price_factor={CH4: ng_price}, scales=scales, label='Houston', demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "sandiego = Location(name='SD', processes={LiI, PV, WF, SMRH, AWE, AQoff_SMR}, capacity_factor={PV: weather_sd[['dni']], WF: weather_sd[['wind_speed']]}, demand_factor={\n", - " Power: demand_sd}, price_factor={CH4: ng_price}, scales=scales, label='SanDiego', demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "newyork = Location(name='NY', processes={LiI, H2FC}, capacity_factor={PV: weather_ny[['dni']], WF: weather_ny[['wind_speed']]}, demand_factor={\n", - " Power: demand_ny}, price_factor={CH4: ng_price}, scales=scales, label='NewYork', demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare transports" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Train_H2 = Transport(name='Train_H2', resources={\n", - " H2}, trans_max=bigM, trans_loss=0.03, trans_cost=1.667*10**(-3), label='Railway for hydrogen transportation')\n", - "Grid = Transport(name='Grid', resources={\n", - " Power}, trans_max=bigM, trans_loss=0.001, trans_cost=0.5*10**(-3), label='Railroad transport')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Network" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "distance_matrix = [\n", - " [2366], \n", - " [2620]\n", - "]\n", - "\n", - "transport_matrix = [\n", - " [[Train_H2]], \n", - " [[Train_H2]],\n", - "]\n", - "\n", - "network = Network(name='Network', source_locations=[houston, sandiego], sink_locations=[newyork], distance_matrix=distance_matrix, transport_matrix=transport_matrix)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "scenario = Scenario(name='scenario_full', network=network, scales=scales, purchase_scale_level=1, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, label='full_case', demand={newyork: {Power: 80}, houston: {Power: 0}, sandiego: {Power: 0}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'orange')\n", - "plot_scenario.capacity_factor(scenario = scenario, location= sandiego, process= WF, fig_size= (9,5), color= 'blue')\n", - "plot_scenario.demand_factor(scenario = scenario, location= newyork, resource= Power, fig_size= (9,5), color= 'red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize for minimum cost" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint production mode facility\n", - "constraint production mode binary\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario= scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.MODE, Constraints.NETWORK}, objective=Objective.COST)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Ensure no discharge of power in Houston and San Diego**\n", - "\n", - "While the demand for power is zero in these locations, Power is still a dischargeable resource. Hence, the discharge bounds need to be set to zero.\n", - "If not set to zero, the system chooses to dispense power instead of establishing storage networks." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint specific location discharge\n", - "constraint specific location discharge\n" - ] - } - ], - "source": [ - "\n", - "milp_cost.constraint_specific_location_discharge_ho = constraint_specific_location_discharge(\n", - " instance=milp_cost, network_scale_level=0, bounds={Power: 0}, location = houston)\n", - "milp_cost.constraint_specific_location_discharge_sd = constraint_specific_location_discharge(\n", - " instance=milp_cost, network_scale_level=0, bounds={Power: 0}, location = sandiego)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1515760 rows, 1506972 columns and 3574785 nonzeros\n", - "Model fingerprint: 0x9c156614\n", - "Variable types: 1086460 continuous, 420512 integer (420512 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e+01, 1e+06]\n", - "Presolve removed 1340094 rows and 1357577 columns\n", - "Presolve time: 2.55s\n", - "Presolved: 175666 rows, 149395 columns, 517955 nonzeros\n", - "Variable types: 149395 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.11s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 14\n", - " AA' NZ : 4.822e+05\n", - " Factor NZ : 2.487e+06 (roughly 150 MB of memory)\n", - " Factor Ops : 4.399e+07 (less than 1 second per iteration)\n", - " Threads : 2\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 1.04529233e+14 -1.74672081e+16 1.09e+08 1.01e+04 2.15e+11 4s\n", - " 1 8.47498134e+13 -1.10573899e+16 6.90e+07 5.75e+05 1.05e+11 4s\n", - " 2 7.79959049e+13 -7.13590370e+15 6.30e+07 1.20e+05 6.73e+10 4s\n", - " 3 5.09535781e+13 -4.31926843e+15 2.36e+07 1.55e+04 2.62e+10 5s\n", - " 4 4.59479786e+13 -1.33723245e+15 1.74e+07 1.84e-05 1.17e+10 5s\n", - " 5 3.15530267e+13 -4.70944541e+14 1.35e+06 1.17e-04 1.73e+09 5s\n", - " 6 2.84234832e+13 -2.36998908e+14 3.03e+05 4.27e-05 7.22e+08 5s\n", - " 7 2.28773792e+13 -5.90455008e+13 3.14e+04 5.98e-05 2.00e+08 5s\n", - " 8 9.63498370e+12 -5.81445079e+12 1.25e+03 2.78e-05 3.68e+07 5s\n", - " 9 1.56552252e+12 -1.05429875e+12 1.59e+02 2.35e-06 6.24e+06 6s\n", - " 10 6.10985600e+11 -3.26117355e+11 6.09e+01 1.08e-06 2.23e+06 6s\n", - " 11 2.59564952e+11 -1.68961514e+11 2.57e+01 4.55e-07 1.02e+06 6s\n", - " 12 1.31132982e+11 -1.01305261e+11 1.26e+01 1.90e-07 5.53e+05 6s\n", - " 13 6.82218862e+10 -4.28270908e+10 6.09e+00 4.52e-07 2.64e+05 6s\n", - " 14 3.51020850e+10 -2.34759074e+10 2.78e+00 1.23e-07 1.39e+05 6s\n", - " 15 2.16973974e+10 -1.52951513e+10 1.60e+00 2.00e-07 8.79e+04 6s\n", - " 16 1.72788036e+10 -1.27287286e+10 1.25e+00 2.04e-07 7.13e+04 6s\n", - " 17 1.08761295e+10 -7.65725523e+09 7.57e-01 2.05e-07 4.40e+04 7s\n", - " 18 5.11678857e+09 -4.51509584e+09 3.16e-01 3.55e-07 2.29e+04 7s\n", - " 19 4.23620359e+09 -3.37311160e+09 2.45e-01 1.31e-07 1.81e+04 7s\n", - " 20 3.93208613e+09 -2.03018152e+09 2.20e-01 1.14e-07 1.42e+04 7s\n", - " 21 2.99656006e+09 -7.51196427e+08 1.26e-01 1.18e-07 8.90e+03 7s\n", - " 22 2.57731365e+09 -5.82960818e+07 8.10e-02 2.36e-07 6.26e+03 7s\n", - " 23 2.33304259e+09 4.71154935e+08 5.36e-02 6.79e-08 4.42e+03 8s\n", - " 24 2.19322218e+09 9.30663326e+08 3.77e-02 6.60e-08 3.00e+03 8s\n", - " 25 2.16413624e+09 1.09919348e+09 3.42e-02 9.21e-08 2.53e+03 8s\n", - " 26 2.09920939e+09 1.22946718e+09 2.63e-02 6.58e-08 2.07e+03 8s\n", - " 27 2.06598020e+09 1.44051742e+09 2.25e-02 1.37e-07 1.49e+03 8s\n", - " 28 2.02229980e+09 1.55835790e+09 1.79e-02 1.73e-07 1.10e+03 8s\n", - " 29 1.97249593e+09 1.61194232e+09 1.27e-02 9.45e-08 8.56e+02 9s\n", - " 30 1.94970230e+09 1.63628565e+09 1.05e-02 9.76e-08 7.44e+02 9s\n", - " 31 1.92901259e+09 1.66779352e+09 8.47e-03 8.12e-08 6.20e+02 9s\n", - " 32 1.90816088e+09 1.69038617e+09 6.39e-03 1.23e-07 5.17e+02 9s\n", - " 33 1.90050478e+09 1.72206819e+09 5.60e-03 1.03e-07 4.24e+02 9s\n", - " 34 1.88853343e+09 1.73715596e+09 4.39e-03 1.61e-07 3.59e+02 10s\n", - " 35 1.88193882e+09 1.75670469e+09 3.72e-03 6.11e-08 2.97e+02 10s\n", - " 36 1.87526710e+09 1.77271888e+09 3.04e-03 1.32e-07 2.44e+02 10s\n", - " 37 1.87241039e+09 1.77643416e+09 2.75e-03 1.72e-07 2.28e+02 10s\n", - " 38 1.86788267e+09 1.78912911e+09 2.31e-03 8.87e-08 1.87e+02 10s\n", - " 39 1.86584147e+09 1.79164795e+09 2.10e-03 1.09e-07 1.76e+02 11s\n", - " 40 1.86248752e+09 1.80675789e+09 1.75e-03 4.41e-07 1.32e+02 11s\n", - " 41 1.85987223e+09 1.81395673e+09 1.47e-03 5.01e-07 1.09e+02 11s\n", - " 42 1.85772806e+09 1.82045018e+09 1.24e-03 3.73e-07 8.85e+01 11s\n", - " 43 1.85582700e+09 1.82360690e+09 1.01e-03 2.40e-07 7.65e+01 11s\n", - " 44 1.85460247e+09 1.82850137e+09 8.54e-04 2.58e-07 6.20e+01 12s\n", - " 45 1.85347359e+09 1.83243960e+09 7.10e-04 2.22e-07 5.00e+01 12s\n", - " 46 1.85274693e+09 1.83336382e+09 6.17e-04 2.38e-07 4.60e+01 12s\n", - " 47 1.85208905e+09 1.83685222e+09 5.35e-04 2.94e-07 3.62e+01 12s\n", - " 48 1.85143858e+09 1.83905796e+09 4.54e-04 7.21e-08 2.94e+01 12s\n", - " 49 1.85098628e+09 1.83960419e+09 3.97e-04 4.13e-08 2.70e+01 13s\n", - " 50 1.85070663e+09 1.84072304e+09 3.63e-04 8.46e-08 2.37e+01 13s\n", - " 51 1.85050885e+09 1.84104075e+09 3.38e-04 1.31e-07 2.25e+01 13s\n", - " 52 1.85022632e+09 1.84169670e+09 3.01e-04 1.19e-07 2.03e+01 13s\n", - " 53 1.85004999e+09 1.84264998e+09 2.79e-04 7.82e-08 1.76e+01 13s\n", - " 54 1.84993893e+09 1.84283354e+09 2.65e-04 8.63e-08 1.69e+01 13s\n", - " 55 1.84967839e+09 1.84319995e+09 2.32e-04 2.03e-07 1.54e+01 14s\n", - " 56 1.84953636e+09 1.84379969e+09 2.16e-04 7.57e-08 1.36e+01 14s\n", - " 57 1.84935354e+09 1.84415673e+09 1.93e-04 6.58e-08 1.23e+01 14s\n", - " 58 1.84918712e+09 1.84474088e+09 1.71e-04 1.63e-07 1.06e+01 14s\n", - " 59 1.84908091e+09 1.84491687e+09 1.58e-04 2.73e-07 9.89e+00 14s\n", - " 60 1.84901117e+09 1.84522385e+09 1.49e-04 1.13e-07 8.99e+00 15s\n", - " 61 1.84889241e+09 1.84562204e+09 1.35e-04 1.49e-07 7.77e+00 15s\n", - " 62 1.84878711e+09 1.84581950e+09 1.22e-04 1.92e-07 7.05e+00 15s\n", - " 63 1.84871244e+09 1.84592703e+09 1.13e-04 1.41e-07 6.62e+00 15s\n", - " 64 1.84863874e+09 1.84603470e+09 1.03e-04 1.53e-07 6.18e+00 15s\n", - " 65 1.84859512e+09 1.84614068e+09 9.77e-05 1.57e-07 5.83e+00 16s\n", - " 66 1.84854615e+09 1.84628800e+09 9.14e-05 1.69e-07 5.36e+00 16s\n", - " 67 1.84848482e+09 1.84644753e+09 8.36e-05 1.67e-07 4.84e+00 16s\n", - " 68 1.84844488e+09 1.84659052e+09 7.85e-05 1.62e-07 4.40e+00 16s\n", - " 69 1.84838334e+09 1.84665347e+09 7.07e-05 1.17e-07 4.11e+00 16s\n", - " 70 1.84831881e+09 1.84674260e+09 5.98e-05 7.71e-08 3.74e+00 17s\n", - " 71 1.84825638e+09 1.84691823e+09 5.14e-05 5.12e-08 3.18e+00 17s\n", - " 72 1.84820869e+09 1.84700607e+09 4.56e-05 1.65e-07 2.86e+00 17s\n", - " 73 1.84818417e+09 1.84706105e+09 4.22e-05 1.28e-07 2.67e+00 17s\n", - " 74 1.84817253e+09 1.84709281e+09 4.06e-05 1.38e-07 2.56e+00 17s\n", - " 75 1.84815174e+09 1.84720581e+09 3.80e-05 9.63e-08 2.25e+00 18s\n", - " 76 1.84811498e+09 1.84726046e+09 3.37e-05 8.80e-08 2.03e+00 18s\n", - " 77 1.84808987e+09 1.84727425e+09 2.99e-05 1.69e-07 1.94e+00 18s\n", - " 78 1.84804946e+09 1.84735149e+09 2.43e-05 1.80e-07 1.66e+00 18s\n", - " 79 1.84804009e+09 1.84739786e+09 2.31e-05 6.76e-08 1.53e+00 19s\n", - " 80 1.84802252e+09 1.84743104e+09 2.10e-05 1.23e-07 1.40e+00 19s\n", - " 81 1.84800802e+09 1.84746311e+09 1.92e-05 6.95e-08 1.29e+00 20s\n", - " 82 1.84800555e+09 1.84746865e+09 1.85e-05 1.48e-07 1.28e+00 20s\n", - " 83 1.84799604e+09 1.84748630e+09 1.74e-05 1.25e-07 1.21e+00 21s\n", - " 84 1.84797760e+09 1.84753155e+09 1.52e-05 9.56e-08 1.06e+00 22s\n", - " 85 1.84795936e+09 1.84758559e+09 2.43e-05 6.72e-08 8.88e-01 22s\n", - " 86 1.84795014e+09 1.84759684e+09 2.20e-05 5.51e-08 8.39e-01 23s\n", - " 87 1.84794015e+09 1.84763088e+09 1.98e-05 6.36e-08 7.35e-01 23s\n", - " 88 1.84793512e+09 1.84763682e+09 1.88e-05 5.15e-08 7.08e-01 24s\n", - " 89 1.84792854e+09 1.84765650e+09 1.76e-05 1.17e-07 6.46e-01 25s\n", - " 90 1.84792290e+09 1.84766008e+09 1.61e-05 1.04e-07 6.24e-01 25s\n", - " 91 1.84791412e+09 1.84768696e+09 1.43e-05 8.00e-08 5.40e-01 25s\n", - " 92 1.84789937e+09 1.84769130e+09 1.08e-05 6.14e-08 4.94e-01 26s\n", - " 93 1.84789715e+09 1.84771743e+09 1.02e-05 1.20e-07 4.27e-01 27s\n", - " 94 1.84788686e+09 1.84774652e+09 1.86e-05 1.03e-07 3.33e-01 27s\n", - " 95 1.84787822e+09 1.84775178e+09 1.58e-05 6.73e-08 3.00e-01 28s\n", - " 96 1.84787138e+09 1.84778616e+09 1.55e-05 6.70e-08 2.02e-01 29s\n", - " 97 1.84786943e+09 1.84778925e+09 1.34e-05 1.04e-07 1.90e-01 29s\n", - " 98 1.84786307e+09 1.84779482e+09 1.01e-05 1.84e-07 1.62e-01 30s\n", - " 99 1.84786222e+09 1.84780150e+09 9.65e-06 8.27e-08 1.44e-01 30s\n", - " 100 1.84785787e+09 1.84780297e+09 6.52e-06 3.65e-08 1.30e-01 31s\n", - " 101 1.84785398e+09 1.84781534e+09 4.85e-06 1.14e-07 9.18e-02 32s\n", - " 102 1.84785344e+09 1.84781639e+09 4.31e-06 4.87e-08 8.80e-02 32s\n", - " 103 1.84785065e+09 1.84781804e+09 3.37e-06 1.28e-07 7.74e-02 33s\n", - " 104 1.84785001e+09 1.84782747e+09 3.09e-06 6.86e-08 5.35e-02 33s\n", - " 105 1.84784880e+09 1.84782914e+09 2.63e-06 5.31e-08 4.67e-02 34s\n", - " 106 1.84784805e+09 1.84783257e+09 2.76e-06 1.18e-07 3.68e-02 35s\n", - " 107 1.84784757e+09 1.84783455e+09 2.77e-06 8.47e-08 3.09e-02 35s\n", - " 108 1.84784669e+09 1.84783552e+09 3.53e-05 6.32e-08 2.66e-02 36s\n", - " 109 1.84784541e+09 1.84783843e+09 2.79e-05 1.26e-07 1.66e-02 36s\n", - " 110 1.84784533e+09 1.84783998e+09 2.92e-05 1.50e-07 1.28e-02 37s\n", - " 111 1.84784452e+09 1.84784180e+09 3.45e-05 9.15e-08 6.52e-03 38s\n", - " 112 1.84784406e+09 1.84784222e+09 2.91e-05 1.98e-07 4.45e-03 38s\n", - " 113 1.84784398e+09 1.84784240e+09 2.75e-05 1.19e-07 3.83e-03 39s\n", - " 114 1.84784383e+09 1.84784280e+09 2.54e-05 5.95e-08 2.53e-03 39s\n", - " 115 1.84784371e+09 1.84784289e+09 2.26e-05 1.05e-07 2.03e-03 40s\n", - " 116 1.84784359e+09 1.84784303e+09 1.56e-05 6.36e-08 1.40e-03 40s\n", - " 117 1.84784347e+09 1.84784311e+09 1.06e-05 6.23e-08 9.20e-04 40s\n", - " 118 1.84784341e+09 1.84784319e+09 6.96e-06 6.50e-08 5.59e-04 41s\n", - " 119 1.84784337e+09 1.84784323e+09 4.93e-06 1.13e-07 3.59e-04 41s\n", - " 120 1.84784335e+09 1.84784324e+09 3.62e-06 6.67e-08 2.76e-04 41s\n", - " 121 1.84784334e+09 1.84784324e+09 3.26e-06 5.61e-08 2.39e-04 42s\n", - " 122 1.84784332e+09 1.84784325e+09 2.29e-06 9.44e-08 1.76e-04 42s\n", - " 123 1.84784331e+09 1.84784326e+09 2.00e-06 7.33e-08 1.43e-04 42s\n", - " 124 1.84784330e+09 1.84784326e+09 1.31e-06 7.73e-08 8.58e-05 42s\n", - " 125 1.84784328e+09 1.84784327e+09 5.58e-07 8.51e-08 3.90e-05 42s\n", - " 126 1.84784328e+09 1.84784327e+09 4.67e-07 7.76e-08 3.15e-05 43s\n", - "\n", - "Barrier solved model in 126 iterations and 42.66 seconds (22.60 work units)\n", - "Optimal objective 1.84784328e+09\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 33900 DPushes remaining with DInf 0.0000000e+00 43s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 45s\n", - "\n", - " 47173 PPushes remaining with PInf 0.0000000e+00 45s\n", - " 36159 PPushes remaining with PInf 6.2736795e-04 45s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 50s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 4.6202623e+02 50s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 72051 1.8478433e+09 0.000000e+00 4.620262e+02 51s\n", - " 72232 1.8478433e+09 0.000000e+00 0.000000e+00 51s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with barrier\n", - " 72232 1.8478433e+09 0.000000e+00 0.000000e+00 51s\n", - "\n", - "Root relaxation: objective 1.847843e+09, 72232 iterations, 47.38 seconds (34.70 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.847843e+09 1.8478e+09 0.00% - 50s\n", - "\n", - "Explored 1 nodes (72232 simplex iterations) in 51.06 seconds (39.14 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.84784e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.847843268177e+09, best bound 1.847843268177e+09, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results_cost = solve(scenario = scenario, instance= milp_cost, solver= 'gurobi', name=\"results_cost\", print_solversteps = True)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Schedule for transport of hydrogen**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results_cost, source='SD', sink='NY', resource='H2', transport='Train_H2')\n", - "plot_results.transport(results=results_cost, source='HO', sink='NY', resource='H2', transport='Train_H2')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Cost contribution by technology**" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Location-wise cost contribution by technology**" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (8,6))" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Inventory and production schedules**" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'Inv', component= 'LiI_Power_stored', location = 'SD', fig_size= (9,5), color = 'steelblue')\n", - "plot_results.schedule(results= results_cost, y_axis= 'P', component= 'PV', location = 'SD', fig_size= (9,5), color = 'orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to maximize resource discharge " - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint production mode facility\n", - "constraint production mode binary\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "\n", - "milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.MODE, Constraints.NETWORK}, objective=Objective.MAX_DISCHARGE, objective_resource=Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint specific location discharge\n", - "constraint specific location discharge\n" - ] - } - ], - "source": [ - "\n", - "milp_demand.constraint_specific_location_discharge_ho = constraint_specific_location_discharge(\n", - " instance=milp_demand, network_scale_level=0, bounds={Power: 0}, location = houston)\n", - "milp_demand.constraint_specific_location_discharge_sd = constraint_specific_location_discharge(\n", - " instance=milp_demand, network_scale_level=0, bounds={Power: 0}, location = sandiego)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1515761 rows, 1506972 columns and 3574795 nonzeros\n", - "Model fingerprint: 0xaac87b15\n", - "Variable types: 1086460 continuous, 420512 integer (420512 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e+01, 1e+06]\n", - "Presolve removed 1515748 rows and 1506934 columns\n", - "Presolve time: 2.56s\n", - "Presolved: 13 rows, 38 columns, 52 nonzeros\n", - "Variable types: 38 continuous, 0 integer (0 binary)\n", - "\n", - "Root relaxation: objective 3.202802e+09, 3 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 3.202802e+09 3.2028e+09 0.00% - 3s\n", - "\n", - "Explored 1 nodes (3 simplex iterations) in 3.24 seconds (3.58 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 3.2028e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (3.9063e-03) exceeds tolerance\n", - " (possibly due to large matrix coefficient range)\n", - "Best objective 3.202802043034e+09, best bound 3.202802043034e+09, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results_demand = solve(scenario=scenario, instance=milp_demand, solver='gurobi',\n", - " name=\"results_demand\", print_solversteps=True)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Schedule for transport of hydrogen**" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results_demand, source='SD', sink='NY', resource='H2', transport='Train_H2')\n", - "plot_results.transport(results=results_demand, source='HO', sink='NY', resource='H2', transport='Train_H2')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/ml-sp.ipynb b/examples/multiperiod-examples/ml-sp.ipynb deleted file mode 100644 index 3d65c6d7..00000000 --- a/examples/multiperiod-examples/ml-sp.ipynb +++ /dev/null @@ -1,1288 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP example" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - Lithium-ion batteries (LiI), Solar Photovoltaics (PV), Wind Farms (WF), Steam Methane Reforming + CCUS SMRH, SMR, Hydrogen Fuel Cells (H2FC), Direct Air Capture (DAC), Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "CH4, CO2, CO2_DAC, CO2_Vent, H2, H2O, Power, Solar, Wind\n", - "\n", - "LiI_Power_stored is generated implicitly as Power stored in LiI " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "from pyearth import Earth\n", - "import pyomo.environ as pyo\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "weather_ny = load_data('ny')[['DNI', 'Wind Speed']]\n", - "weather_ny = weather_ny.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - "weather_sd = load_data('sd')[['dni', 'wind_speed']]\n", - "weather_ho = load_data('ho')[['dni', 'wind_speed']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "demand_sd = pandas.read_excel('../data/HistoricalEMSHourlyLoad-2019.xlsx', index_col= 0)[['SDGE']]\n", - "demand_ho = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_ny = pandas.DataFrame(pandas.read_csv('../data/NYC_load.csv')['Load'])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Natural gas prices from Henry Hub Price Index** \n", - "\n", - "We use the special function energiapy.make_henry_price_df because of special requirements such as filling in empty data points (weekends, public holidays). Such function will be generalized in the next update of energipy" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020, stretch=True)\n", - "ng_price = ng_price.drop(columns= 'scales')\n", - "ng_price = remove_outliers(ng_price, sd_cuttoff = 3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand = True, label='Power generated', varying = [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM, price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource')\n", - "\n", - "H2_L = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource', store_max = 10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='kg', label='Carbon dioxide - sequestered', store_max = 10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM**2,\n", - " price= 0.001, basis='kg', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM**2, price=1, basis='kg', label='Natural gas', varying= [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='kg', label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='kg', label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='kg', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='kg', label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 3516428, fopex= 87910, vopex = 0, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=1462000, fopex=43000, vopex=4953, prod_max=bigM, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex = 1333262, fopex= 22623, vopex=0, prod_max=bigM, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520, fopex = 945, vopex = 0.0515,\\\n", - " prod_max= bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name= 'NGCC', conversion = {Power: 1, CH4: -108, CO2_Vent: 297*0.05, CO2:297*0.95}, capex = 2158928, fopex= 53320, vopex = 4090, prod_max= bigM, label = 'NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-50, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = bigM, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex = 3924781, fopex= 17820, vopex = 512.5, store_max = 10000, prod_max=bigM, label='Pumped storage hydropower', basis = 'MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -4.17*10**(-4), H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, capex = 0.730, fopex= 114000, vopex= 3600, prod_max=bigM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3364.1, Power: 1}, capex = \t7988951, fopex= 0.04*0.730, vopex= 0, prod_max=bigM, label='Small modular reactors (SMRs)')\n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -0.00128, CO2_AQoff: 1, CO2: -1}, capex = 0.00552, vopex = 0.00414, fopex = 0, prod_max= bigM, label='Offshore aquifer CO2 sequestration (SMR)')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = {LiI, WF, PV, SMRH, SMR, H2FC, DAC, H2_L_c, AQoff_SMR, ASMR, PSH, NGCC}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Locations**" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= process_list, capacity_factor = {PV: weather_ho[['dni']], WF: weather_ho[['wind_speed']]},\n", - " demand_factor= {Power: demand_ho}, price_factor = {CH4: ng_price}, scales=scales, label='Houston',\n", - " price_scale_level= 2, demand_scale_level=2, capacity_scale_level= 2)\n", - "\n", - "sandiego = Location(name='SD', processes= process_list, capacity_factor = {PV: weather_sd[['dni']], WF: weather_sd[['wind_speed']]}, \n", - " demand_factor= {Power: demand_sd}, price_factor = {CH4: ng_price}, scales=scales, label='SanDiego', \n", - " demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "newyork = Location(name='NY', processes= process_list, capacity_factor = {PV: weather_ny[['dni']], WF: weather_ny[['wind_speed']]}, \n", - " demand_factor= {Power: demand_ny}, price_factor = {CH4: ng_price}, scales=scales, label='NewYork', \n", - " demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Transports**" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Train_H2 = Transport(name= 'Train_H2', resources= {H2}, trans_max= bigM, trans_loss= 0.03, trans_cost= 1.667*10**(-3)\\\n", - " , label= 'Railway for hydrogen transportation')\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.001, trans_cost= 0.5*10**(-3), label= 'Railroad transport')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Network**" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [0, 2366, 2620],\n", - " [2366, 0, 4440],\n", - " [2620, 4440, 0]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[], [Grid, Train_H2], [Grid, Train_H2]],\n", - " [[Grid, Train_H2], [], [Grid, Train_H2]],\n", - " [[Grid, Train_H2], [Grid, Train_H2], []] \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [houston, sandiego, newyork], sink_locations= [houston, sandiego, newyork], distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Scenario**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "\n", - "scenario = Scenario(name= 'scenario_full', network= network, scales= scales, \n", - " purchase_scale_level = 2, expenditure_scale_level= 0, scheduling_scale_level= 2, network_scale_level= 0, demand_scale_level= 2, \n", - " label= 'full_case', demand = {newyork: {Power: 80}, houston: {Power: 0}, sandiego: {Power: 0}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'orange')\n", - "plot_scenario.capacity_factor(scenario = scenario, location= sandiego, process= WF, fig_size= (9,5), color= 'blue')\n", - "plot_scenario.demand_factor(scenario = scenario, location= newyork, resource= Power, fig_size= (9,5), color= 'red')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for demand**" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# milp_demand = formulate(scenario= scenario, \n", - "# constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,Constraints.RESOURCE_BALANCE, \n", - "# Constraints.TRANSPORT, Constraints.NETWORK},objective=Objective.DEMAND)\n", - "\n", - "# results_demand = solve(scenario = scenario, instance= milp_demand, solver= 'gurobi', name=f\"results_demand\", print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "Warning for adding constraints: zero or small (< 1e-13) coefficients, ignored\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 2882483 rows, 2777339 columns and 7249280 nonzeros\n", - "Model fingerprint: 0xed5a62a1\n", - "Variable types: 2777270 continuous, 69 integer (69 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-13, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e+01, 1e+12]\n", - "Warning: Model contains large matrix coefficient range\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 2449235 rows and 2265221 columns (presolve time = 9s) ...\n", - "Presolve removed 2580272 rows and 2396264 columns (presolve time = 10s) ...\n", - "Presolve removed 2593004 rows and 2408996 columns (presolve time = 15s) ...\n", - "Presolve removed 2487884 rows and 2198756 columns\n", - "Presolve time: 15.64s\n", - "Presolved: 394599 rows, 578583 columns, 1695465 nonzeros\n", - "Variable types: 578583 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.16s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 33\n", - " AA' NZ : 1.090e+06\n", - " Factor NZ : 7.081e+06 (roughly 450 MB of memory)\n", - " Factor Ops : 2.390e+08 (less than 1 second per iteration)\n", - " Threads : 2\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 9.65411776e+14 -1.34593042e+17 1.01e+09 1.13e+04 1.70e+12 21s\n", - " 1 8.32937276e+14 -1.21951832e+17 7.57e+08 8.78e+05 1.10e+12 22s\n", - " 2 6.95099199e+14 -1.09746627e+17 5.80e+08 2.49e+05 7.84e+11 22s\n", - " 3 4.53082065e+14 -9.10731346e+16 3.38e+08 3.75e-04 4.38e+11 23s\n", - " 4 8.60598717e+13 -4.95318743e+16 3.29e+06 6.15e-03 3.71e+10 23s\n", - " 5 8.23460366e+13 -3.19045853e+15 1.43e+05 1.39e-04 2.30e+09 24s\n", - " 6 8.01933439e+13 -7.57510767e+14 1.12e+05 6.03e-05 6.06e+08 24s\n", - " 7 5.24450875e+13 -3.20156431e+14 4.25e+04 2.53e-05 2.67e+08 25s\n", - " 8 2.58415395e+13 -3.06756751e+14 2.74e+03 2.51e-05 2.31e+08 26s\n", - " 9 1.20794186e+13 -5.33170769e+13 1.05e+02 1.60e-07 4.53e+07 26s\n", - " 10 1.77423549e+12 -3.60385362e+12 1.88e+00 3.06e+00 3.72e+06 27s\n", - " 11 7.46092831e+11 -7.08632344e+11 5.76e-01 5.88e-01 1.01e+06 28s\n", - " 12 2.24387350e+11 -2.50362806e+11 1.51e-01 2.08e-01 3.28e+05 28s\n", - " 13 6.44230697e+10 -5.78024782e+10 4.09e-02 4.83e-02 8.46e+04 29s\n", - " 14 1.71514744e+10 -1.38065991e+10 1.03e-02 1.14e-02 2.14e+04 29s\n", - " 15 3.85065358e+09 -1.23512691e+10 1.85e-03 1.02e-02 1.12e+04 30s\n", - " 16 1.20035784e+09 -1.35265049e+09 3.83e-04 1.02e-03 1.77e+03 30s\n", - " 17 3.84874695e+08 -1.89795716e+08 6.96e-05 2.11e-04 3.98e+02 31s\n", - " 18 2.78990250e+08 6.04793193e+07 3.57e-05 5.17e-05 1.51e+02 32s\n", - " 19 2.02404173e+08 1.22834901e+08 1.35e-05 1.42e-05 5.50e+01 32s\n", - " 20 1.93709529e+08 1.39028553e+08 1.09e-05 6.89e-06 3.78e+01 33s\n", - " 21 1.67320653e+08 1.54258275e+08 2.92e-06 7.03e-07 9.04e+00 33s\n", - " 22 1.60889898e+08 1.55524586e+08 1.11e-06 4.53e-07 3.71e+00 34s\n", - " 23 1.59809524e+08 1.55844438e+08 8.24e-07 3.12e-07 2.74e+00 35s\n", - " 24 1.59102681e+08 1.56023819e+08 6.35e-07 2.31e-07 2.13e+00 36s\n", - " 25 1.58895661e+08 1.56356125e+08 5.79e-07 2.60e-07 1.76e+00 36s\n", - " 26 1.58462429e+08 1.56430860e+08 4.69e-07 1.29e-07 1.41e+00 37s\n", - " 27 1.57829845e+08 1.56500528e+08 3.04e-07 2.53e-07 9.20e-01 38s\n", - " 28 1.57735553e+08 1.56513377e+08 2.80e-07 2.22e-07 8.46e-01 39s\n", - " 29 1.57305959e+08 1.56607127e+08 1.61e-07 1.01e-07 4.83e-01 40s\n", - " 30 1.57124848e+08 1.56657355e+08 1.12e-07 1.27e-07 3.23e-01 42s\n", - " 31 1.56993629e+08 1.56659983e+08 7.82e-08 2.86e-07 2.31e-01 43s\n", - " 32 1.56961335e+08 1.56672114e+08 6.96e-08 2.22e-07 2.00e-01 43s\n", - " 33 1.56863308e+08 1.56676286e+08 4.38e-08 1.67e-07 1.29e-01 44s\n", - " 34 1.56815560e+08 1.56684034e+08 3.17e-08 8.62e-08 9.10e-02 45s\n", - " 35 1.56771608e+08 1.56687101e+08 2.03e-08 1.71e-07 5.85e-02 47s\n", - " 36 1.56764484e+08 1.56688540e+08 1.88e-08 1.60e-07 5.25e-02 50s\n", - " 37 1.56732758e+08 1.56689383e+08 1.07e-08 2.32e-07 3.00e-02 52s\n", - " 38 1.56727602e+08 1.56690012e+08 9.26e-09 1.47e-07 2.60e-02 53s\n", - " 39 1.56707391e+08 1.56690565e+08 4.04e-09 1.13e-07 1.16e-02 55s\n", - " 40 1.56700879e+08 1.56690960e+08 1.09e-08 6.05e-07 6.86e-03 55s\n", - " 41 1.56697104e+08 1.56691085e+08 6.57e-09 4.03e-07 4.16e-03 56s\n", - " 42 1.56694977e+08 1.56691208e+08 4.28e-09 4.91e-07 2.61e-03 56s\n", - " 43 1.56693167e+08 1.56691316e+08 2.73e-09 1.75e-07 1.28e-03 57s\n", - " 44 1.56692470e+08 1.56691351e+08 1.65e-09 1.35e-07 7.75e-04 58s\n", - " 45 1.56691926e+08 1.56691379e+08 8.09e-10 9.77e-08 3.79e-04 58s\n", - " 46 1.56691474e+08 1.56691390e+08 6.83e-09 2.11e-07 5.84e-05 59s\n", - " 47 1.56691424e+08 1.56691399e+08 3.45e-09 1.07e-07 1.75e-05 60s\n", - " 48 1.56691401e+08 1.56691400e+08 8.62e-10 1.49e-07 1.63e-07 60s\n", - " 49 1.56691401e+08 1.56691401e+08 2.39e-12 5.44e-07 1.05e-11 61s\n", - "\n", - "Barrier solved model in 49 iterations and 60.86 seconds (26.93 work units)\n", - "Optimal objective 1.56691401e+08\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 280100 DPushes remaining with DInf 0.0000000e+00 61s\n", - " 12372 DPushes remaining with DInf 0.0000000e+00 65s\n", - " 3132 DPushes remaining with DInf 0.0000000e+00 70s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 73s\n", - "\n", - " 7785 PPushes remaining with PInf 0.0000000e+00 73s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 75s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 3.8857224e-06 75s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 167093 1.5669140e+08 0.000000e+00 0.000000e+00 75s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with barrier\n", - " 167093 1.5669140e+08 0.000000e+00 0.000000e+00 75s\n", - "\n", - "Root relaxation: objective 1.566914e+08, 167093 iterations, 57.01 seconds (46.68 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.566914e+08 1.5669e+08 0.00% - 75s\n", - "\n", - "Explored 1 nodes (167093 simplex iterations) in 80.60 seconds (63.70 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.56691e+08 1.56691e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (2.1875e-05) exceeds tolerance\n", - "Best objective 1.566914005360e+08, best bound 1.566914005360e+08, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "milp_cost = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,Constraints.RESOURCE_BALANCE, \n", - " Constraints.TRANSPORT, Constraints.NETWORK},objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "results_cost = solve(scenario = scenario, instance= milp_cost, solver= 'gurobi', name=f\"results_cost\", print_solversteps = True, saveformat = '.pkl')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAswAAAI6CAYAAAAzGh4eAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABbu0lEQVR4nO3dd3hUReP28XuTkAZJIJgQSgggIERURDoKSlMR6VZUyoNKR0UpdhDFhqgYsCHwAA+IgCKKNAUpQQEVaUqTTkKoCb1k5/2DX/ZNyO7JZrNhE/x+rmuvK+yZOTO72UluJnPm2IwxRgAAAACc8vN1BwAAAICCjMAMAAAAWCAwAwAAABYIzAAAAIAFAjMAAABggcAMAAAAWCAwAwAAABYIzAAAAIAFAjMAAABggcCMq86rr74qm81m+fDz81OJEiVUv359jRw5Uqmpqb7uNq6wX3/9VWXKlFGdOnV0/PhxX3cnT1auXKmnnnpKN910k6KiolSkSBFFRkaqZs2aevTRRzV+/Hjt27cvV+c0xig2NlY2m02PPPKIW3W8NfbefPPNHM9j9di1a5ckaeLEiZblJk6cmKVdd8uhcMjp85jxOcmsQoUKLsvffvvtOba5cOFCPfHEE6pevbqKFy+ukJAQxcXF6a677tKYMWN09OhR779QXBE2bo2Nq8369eu1fv16SdKjjz4qSbrtttv0xBNPOMqcPn1aa9as0eTJk3Xu3DmVL19e3377rW666Saf9BlXXt++fZWQkCBJmjlzpjp27OjjHuXe3r171bt3b3333XeKjo5Whw4dVL16dRUrVkwpKSlKTEzUDz/8oIsXL8pms+m2227TkCFDdPfdd+d47qVLl+qOO+6QJBUrVkwHDx5UaGioZR1vjb1Nmzbpjz/+sDyPM7Nnz9bXX3+tnTt3qkKFCvrnn3+UmJio48ePa8CAAbLb7ZKkoUOHKj4+Xg0bNlSlSpUc9adMmSJJeu+99/T3339rzJgxCgoKylbuarRr1y7HfwyeeuopFS9evND3JafPY/v27VW0aNEsdb755hudPHlSy5cv16effipJev7551W9enWVKlVKLVq0cNrWtm3b1L17d61YsUJlypRR+/btdd111yk4OFgHDhzQggULtGrVKkVGRur1119Xz549PXpN8CEDXMUkGUmmS5cuTo///vvvpmjRokaSKVu2rDl69OiV7SB8JjEx0cTExJibb77ZHDlyxNfdybWNGzeacuXKGUnm8ccfN6dOnXJabuvWreamm27KcSxc7vHHH3fUkWSmTZuWq/55a+zlpt+vvPKKkWR27tyZ7VivXr0c52rcuLHLc6xevdr4+fmZESNG5Nje1WTJkiWO98fZ+1fY+5Lbz/+ECRMcdZYsWWJZNjEx0URGRhpJ5rnnnjNnz551Wm7BggUmKirKSDL9+vUzdrs9l68CvsSSDPyr3XzzzRo0aJAkaf/+/frggw983CNcKQ0aNFBSUpJ+//13RUZG+ro7uXLs2DG1atVK+/bt08MPP6xPP/3U5exvlSpVtGjRIkVHR7t9/vPnz2vmzJkqWbKk47n//e9/ee53Zld67L3xxhuO92DZsmWaNGlStjLp6enq2bOnqlatqueeey5f+4Orw759+9SuXTsdPXpUAwcO1Ntvv62goCCnZVu2bKl58+YpKChIY8aM0bvvvnuFe4u8IDDjX69Dhw6Or+fMmePDngDu6du3r/bs2aOwsDC9//77OZaPiorSiy++6Pb5f/jhBx07dkwjRoxQiRIlJEkLFizw+vpLb4+9W2+9VYMHD1ZERES2Y8WLF88SUJ577jkdO3YsS5mxY8fq999/17hx4xQYGJjn/uDq17VrV6WkpCg2NlYjRozIsXzt2rXVr18/SdILL7ygTZs25XcX4SUEZvzrXXvttY6vd+zY4cOeADnbvn27pk+fLkl68MEHFRUV5Va9hx9+WDabza2yU6dOVWBgoB544AFHqD1//rxmzZrlWadd8PbYa968ud58801HyL/co48+6rhw69ChQxo8eLDjWFJSkl588UV16dLFrYu7gOXLl+vHH3+UJD3++OMKDg52q17fvn0lSRcuXNBbb72Vb/2DdxGY8a/n7+/v+PrChQuOry+/Qrpr166SLoWJxo0bq2TJkpZXT2/cuFE9evRQpUqVFBISohIlSqhu3bp68803derUqRz7tWfPHj311FOqXr26ihYtqpCQEFWqVEmdOnXSF198obS0NJd1d+zYoV69eqly5coKCQlRRESEatasqaFDh+rgwYMu6509e1bvvPOO6tWrp4iICBUpUkRlypTRPffcozFjxujQoUNO6+3fv9/R19DQUAUHB6ty5crq3Lmzpk+frrNnz+b4ejPr2rWr06vUM74HGfbt2yebzeb0gixn55g4caKWLl3q9i4IeXldaWlpGj58uG6++WaFh4crNDRUlStX1n/+8x/9+eefuXo/Mhs/frzj4rV7773X7XolS5bUl19+qR49eliWO3HihL777ju1bNlSJUqU0IMPPug45u1lGa7GXm45+2y4MnbsWBUpUkSS9Pnnn2vVqlWSpKeffloBAQFe/TP5kSNH9OKLL6pmzZoKDw9XUFCQypcvr3vvvVcfffSRUlJSXNY9fPiwXnjhBd10000KDw9X0aJFVa1aNQ0YMEC7d++2bHfNmjV6+OGHVb58eQUFBalYsWKqWbOm+vXrpyVLlshkutY/YyeRjAs8JalixYqW4y4n6enp+u677/Sf//xH8fHxKlq0qIKDg1WhQgV17txZq1evdlovP/qSnz755BPH123atHG7XlxcnGrWrClJmj59uk6ePOntriE/+HoRNZCf5MaFHrt27XKUq1y5suP5yZMnm8mTJ5tq1ao5ztGnTx9TtWpV88Ybb5hPPvnE3HPPPUaSadKkSZZzjho1yvj7+5uAgADTvXt38+mnn5pRo0aZunXrGkkmNjbWbNy40WWfvvzySxMcHGwkmY4dO5qxY8ea0aNHm0cffdT4+/sbSSYsLMxs3749W93JkyebwMBAExAQYLp162Y+++wz88EHH5jmzZsbSSYiIsL89NNP2eqlpqaamjVrGkmmUaNG5u233zafffaZeeGFF0yZMmWMJBMYGGj279+fpd66detMiRIljL+/v3nggQfM+++/b8aNG2d69eplQkJCjCRz/fXXu3ytziQmJppJkyaZIkWKGEmmU6dOZvLkySYxMTFLuYSEBMf3bsOGDdnOMXnyZHPDDTeY6tWrm8mTJ5sdO3aY5ORkx/c2o+6ECROy9SEvr2vdunWmdOnSRpJp0aKFGTNmjPn0009N165dTUBAgLHZbObdd9/N1XuSoX79+o5+796926NzWJk0aZKRZKZMmWKMMebixYumVKlSRpLx8/Mz+/btc+s8eRl7uT1PTscvN2TIEMd5b7rpJjNv3jwjyXz22WdunyMnS5cuNSVKlDCSTPPmzc2HH35oPvroI9OzZ0/H2A4KCjLLli3LVnfJkiWOuhmfn3HjxplOnToZSSY4ONh8+eWXTtudMGGC8fPzMxEREaZfv35m3LhxZvTo0aZ9+/aO19ynTx9H+R07dpjJkyeb559/3nF89OjRjjHibNzl5KmnnnJ8Xh544AHz4YcfmtGjR5uHH37Y+Pn5GT8/P/PBBx9kq5cffcngzucoM3cu+ssY40WKFDEXLlzIVX+6dOniOP/8+fNzVRe+QWDGVc2dH5JffPGFo9yTTz6Z7XiTJk0cV/Lfdttt5syZM45j6enppmrVqlkCc8YPWn9//2w/CNPT081jjz1mJJlSpUqZgwcPZmvvxx9/NH5+fkaSGT9+fLbjK1euNEFBQUaS+eOPP7IcW7hwobHZbMbPz88sWLAgW90XX3zREZp37dqV5VhGiLj33nuz1UtLSzPVq1d3etV6RoBzFgDXr19vQkJCTFxcXLZj7mjWrJkjcDhz5513Or53r7/+erbj586dM2FhYebVV191Wt8qMHv6upKSkhxXwr/44ovZji9YsMDx/f3666+d9stKYGCgI2zlx1X2LVu2NCEhIebEiROO5/r06eN4r9wN+t4Ye5nP8+CDD5pDhw45feQ2MJ86dcrExcU5zh0cHGwaNWrktfdz06ZNJjQ01EgyL730UrbjW7ZsMSVLlnT6Gdi8ebOjrrPPz+eff+4Io5f/x/fIkSOOumvXrnVZ19l75c2dKTI+L5MnT852bPHixY7Q/Ouvvzqtn5+7ZFh9jjI/xowZYxmYk5KSHMerVKmS6/6MGDHCUX/kyJFeeIXIbwRmXNVy+qWdmppqKleu7AggW7duzVYmIzBLMuvXr892PCEhwfEDLzU11YSHhxtJpmvXrk7bPH78uImIiDCSTLdu3bIcu3jxoqlUqZKRZJo1a+bydfXs2TNbYL548aKpWLGikWQee+wxp/UuXLhgypYta6RLW5FldvPNNxtJZsyYMU7rfvbZZ9l+gR0/ftzlDG+Gzp07exyYR48e7ZjBSUtLy3LsxIkTJigoyDHbW69evWz1Fy5caCSZ3377zen5XQXmvLyuRx991EgyFStWNBcvXnRa9/777zeSzHXXXZerkJaamuro1zXXXON2PXclJycbf39/07FjxyzPL1++3NFurVq13DqXN8Ze5vPk9MhNYDbGmDlz5mSpv2jRolzVt5LxM6Nq1aomPT3daZk333zTaWC+/fbbHTPurj4/GeevXLlylvNnvKaSJUu67FvZsmWvSGCuXr26y+MPP/ywkWQeeeQRp8fzMzB78nAWmNevX+84fsstt+S6Px9++KGj/sCBA73wCpHfWMOMf4Vz587p8OHDjsfevXs1e/Zs3Xrrrdq+fbsCAgL0xRdfqEqVKi7PUbVqVd1www3Znu/du7eGDBki6dKNDzLWFnfu3NnpeSIiInTPPfdIurQeOvNd5ubPn69//vlH0qWLtFxp166dSpYsqYCAgCx1d+7cKUl64IEHnNYLCAhQs2bNJElffvmlYy2sdGndoSStWLHCad0OHTpo0aJFiomJcTyXub6resOGDdPUqVNdvhYrGWt0L1y4oAULFmQ5Nn/+fJ0/f95x4dbq1auzrc/+9ttvVbZsWdWqVStX7Xr6uo4dO+a4IK9Tp05Z1uhmdtddd0mStmzZot9//93tfp04ccLxdUhIiNv13PXll18qPT09y7plSWrUqJHKlSsnSfr999+1detWt8/pjbEnXdqSa9GiRU4fnmjTpo0aN27s+HfGTSryatOmTfr5558lXRqHfn7Of822adNGJUuWzLIF2ebNm7V06VJHXVefn4yfLdu3b88yLjLG8NGjR7V582andb/55hvHdn75Zfjw4Y73wJnatWtLunTR3JVm9TnK/MhpW8HM15DkdEMfZzLX4U6zhYSvEzuQn5TDzIGfn59p2rSpWbVqlctzZMzmtG3bNsf2Onbs6Di31U1QRo0a5Sj3/fffO54fOHCg4/nLl1vkJHPdP//80+WfGgcMGOAo99dffznqZ76xQ8eOHc0vv/ziVrsZSzUCAwPNc889Z/75559c9dvd818+a/7oo4+aunXrmn379jn6/fnnn2cpExcX5/JP/cZYL8nw5HXNnTvXcc6xY8e6/B7MmDHDUW7cuHHuvRHm0tKYjHr5McNcr149ExYWZk6fPp3t2DPPPONo+5VXXsnxXN4Ye5nP4801zMYY888//ziWL2Q8vDHLnPlP+bldcpO57uzZs12W++233xzlnnvuOcfze/fudSzZKVWqlBkzZow5duyYW23n541Lzpw5Yw4fPpxtuUNQUNAV64s7n6PMclrDnHmGuXbt2rnuT+bvNTPMhQMzzPhXuHxWYfHixVq9erWOHDmiH3/8UfXr18/xHOHh4TmWydgaK2NXDFfKli2brc7lX5cpUybH9py1LUk33XSToqKinD4y3yAi84zsq6++qho1akiSZs2apfr166tSpUoaOHCgYycBZz777DOVKFFC58+f1zvvvKNKlSqpbt26GjlypMutwvbv36/t27dnezi7+j9jlnnevHmOmd/09HTNmzdP9957b5YZ5G+//dZRb8OGDdq9e3eudpLI6+vK/Hzv3r1dfg/uv/9+RzmrXUsuFxYW5piRzDzb7A07duzQr7/+qjZt2jidvc486zxt2jS3z+uNsZcfevfuLWOMmjdv7niuX79+edqtQ/LeGM78M+Jyrn5+lCtXTqNGjZK/v78OHjyofv36qVSpUmrVqpU+++wzr++jbWX58uXq1KmToqOjFRISomuuucbx+c/Yh/jcuXNXrD/elnk7R09miDPPULu7NSR8KyDnIkDhV7p06Sy/GD3h6k+rmWVsD5TTfpyZj2f+wZl5eyF39/R0VnfOnDlu/ZkwIyBLUnR0tFavXq1x48Zp3Lhx2r59u3bu3Kn33ntP7733nmrUqKHRo0dnex8bNWqk9evXa/To0Zo4caKOHj2qNWvWaM2aNXr++efVqlUrffjhh1n23O3cubPTP9nGxcVp165dWZ6799579fbbb+vw4cNatWqVGjVqpJUrV+rIkSOOrZxat26t33//XYsXL9aZM2cUEhKiuXPnKjQ01LEEJbc8eV2ZvwfDhw9XgwYNcmynQoUKuepXrVq1tGrVKp07d0579+5VbGxsruq7krFl3J133qnDhw9nO16xYkXFxsZq79692rp1q9auXev407oVb4y9nJhM26S5Y/r06Zo/f77eeustde3aVdWqVdOxY8f0999/a9SoUY4lVp7w1hi2quvq54d0aY/fevXqadSoUfr66691/vx5/fDDD/rhhx/Ur18/PfHEE3rjjTdUrFixXPUtN958800NHTpUknT33XerXbt2Kl++vGMJ2cKFC/XOO+/kW/tXQkxMjGJiYpScnKzdu3fr4sWLWZbI5WTbtm2Or90ZRygAfD3FDeQneXhBUGYZSzLcOUfGhXMhISGW5aZPn+7oW+aL7DJv/eRsBw0rmesmJSXlqq4zv/76q3nmmWccW4rp//6MvnDhQpd1zp8/b7777jvTuXNnx8V4+r/lA8nJyY5ymS+kzPxwdhHdxYsXHTsKDB482BhzaXlA+fLlHWXWrFnjOMe3335rjLm0y0VOy2gy6jhbkuHJ6/rggw8cx6ZNm2Z5Tk+98MILjjbmzp3rtfNmbJ/o7uPpp5+2PJ83xp43z5Ph2LFjplSpUuaWW25xXFSXsXuEJBMaGmr27Nnj8fmffvppx7lc7QKR17rJyclZlk+5cuzYMfPFF1+YZs2aGZvN5qjTuHHjbBebemsZxB9//OFoq2/fvk7LZF7u4ExhWJJhzP+/eFH/twwuNzJ+VwQHB2fZeQkFF0syAC+qXLmyJOnMmTNZLua73P79+x1fZ56hzKgvSQcOHPCobenSTU/yqm7duho1apT27Nmjd955RzabTXa73fIWy0WKFNE999yjKVOmaM+ePY6Lkw4fPqz33nvPUW7p0qUyl3bpyfK4fHZZunRzi7vvvluS9N1330mS5s6dm2WpxS233KLSpUs7jqWkpGj16tUeL8fw9HV5+3vgTPfu3R0zWXPnznW73rJly9SuXTt16tQp2w1Xfv/9d/3999/6z3/+Y3kh1FdffeWoc/lFo4XFoEGDdOTIEY0fP95xUV337t3VpEkTSdLp06f11FNPeXx+b41hq7qufn5crnjx4urWrZsWL16sjRs36uabb5Z06bMwf/78XPXNXTNnznTM+Pfv3z9f2igonnjiCcfXmZeD5WTv3r36448/JEmPPfZYrv8SAd8gMANelPkOVb/99pvLchk7IwQGBqphw4a5rv/jjz+qU6dOmjx5stO6v/76q8u6586dU8mSJVWyZMks6zVHjRqVbSeKjD4+++yz6tSpk6RLdzDMcPz4cb344otOd0245pprNGHCBMc6zsz1cisj+G7atEnz5s3Ttm3bsoRhm82m1q1bS7oUqufOnStjjGM3ktzy9HU1bNhQgYGBkqy/B5LUqlUrBQQEaM2aNbnqW6VKlRx3O5s+fbqOHDniVr1Ro0Zpzpw5unjxYrZf0BnLMQYNGqTmzZu7fHTq1EmNGjWSdCnQWe2E4AsbNmxQ69atHbcrvtyKFSv0+eefa9CgQbrpppscz9tsNn3yySeO9eGzZ892Ohbc4e4YXr9+vTp16pTlP1y5/flxeZ0//vhDL774otN12PHx8ZoyZYrj35ePR3dvm56TzHcvdLUOO6c723mrL/mtSZMmjiVfn3/+udtrsj/66CNJl5bWZCxdQSHgw9ltIN/pCi/JSE1Ndeyx3L1791yXSU9PN9dee62RZJo2beqynXbt2mW7qj9zXat9QadMmWIkmR49emR5Pi4uznTq1Mllvf79+xtJpkyZMo7ndu7caSSZjz76yGW9G2+80UgyDz/8sMsyOTl+/Ljjrn+VKlUyYWFh5ty5c1nKfPvtt47vd6VKlUzdunVzPG9G+cuXZOTldXXr1s3xp/3MyzUy27Vrl/H39zdVq1b16GYZaWlpjiUUjz76aI7l58+fb6RL+1lfvq90enq6KVu2rKlfv75bbX/yySeO9+3yz1Bm3hh7uT1Pxp/ynS2xOXfunKlevbqpVq2aOXv2rNP6w4YNc7RXpUqVbJ8xd91xxx2Oc7jaSznjbniX313QnboZZS7fhzljGYGru4gePXrU8fo+/fTTLMdWr17tOJZ5T+x33nnHXHfddW7v2vPyyy87zuOqTsYYcRVBvNWXzHL7eXRnSYYxxuzbt89ER0cbSWbQoEE5nvf333933Okxp6VgKFgIzLiqXenAbIwxEydONJJMQEBAtvW+6enpjl8W7tzpz9kP1K+++spIMg0aNLCs+9prr2U7nnGHsbCwsGx3+ouLizOBgYFmzZo12eodPXrUcVOUAQMGOJ7PCJaVKlVyun3VmjVrTEBAgJE8u6tdZhl3/ZOLdZunT5/Osr7Y2eu/XE6B2ZPXlZyc7Fj3fc8992QLZ2lpaaZhw4ZGkpk1a1aOfXRl69atpkKFCkaS6dmzpzl16pTTcnPnzjVhYWFGkvn444+zHf/pp5+M5P72dseOHXP8wi9RooTLUFnQAvPw4cONn5+fWbFihcv6GaE6o80RI0Z41OfMd+tztgXfypUrTZEiRUzFihWzbeGXU92MIOfn55ctyGUc69Spk9Mbprz//vtGunSNxeW3uD9y5Ihj7fHixYsdz999991GUrbyrqxbt85xnlatWmW7ZXRiYqJj7LgKzN7qS2b5FZiNMeaXX35xXGcxdOhQl2Ni4cKFjnDt6u6jKLjYJQNXnfXr12v9+vVZnvvnn38cf4689tpr3dq94JtvvtHJkycd235lPseNN96oG2+80Wm9Ll266MiRIxo0aJBatWqlLl26qH79+jp58qSmT5+uX3/9VbGxsZo3b56io6Oz1W/atKn+97//qWvXrurWrZvmzZunpk2b6ty5c1qxYoVmzZqlSpUqOW6Q4aruSy+9pJ9++klt27ZVYGCg1q9fr4kTJ6pIkSKaOXOm4uListQNCwvT7t271ahRIz300EOqWbOmihYtqp07d2ry5Mnat2+fGjZsqNdee81RJzAwUEFBQfrnn39UuXJldenSRVWqVFF6ero2bNigKVOm6OLFi+rbt6/atWuX43tu5d5773X8qd3Z2uSQkBA1a9bMsc7Z1frlgwcPZrvZxapVqxQQEKBSpUqpRYsWeXpdpUqV0uLFi9WqVSt9//33uvHGG/Xoo48qJiZGO3bs0KRJk5ScnKzXX39dHTp08Pj9qFKlin799Vf16NFDH3/8sb7++mt17NhR1atXV9GiRbVv3z7Nnz9fiYmJKlGihKZOnZrlZjj//POPEhMTHVvEXbx4UVOmTFH79u1VtGhRp20uWrRIBw8eVOXKlbVx40YdO3ZMw4cPV7Vq1dSiRQsdPHjQK2Nv9erVWrZsWZbnNm3apHfffdey3uXb/WW8xrNnz+qNN95QzZo1tXPnTu3cuVOPPPKI07JNmzbVX3/9JUl6/fXXVbp0acfSqUqVKuXYd0mqXr26vv/+e3Xo0EHDhg3TqlWrdO+998pms+m3337T5MmTVbx4cc2ePTvbFn4Zddu3b++o26ZNGwUEBOinn37SjBkzFBwcrIkTJ+r222/PUjdj54uZM2eqRo0auu+++xQbG6u0tDQtW7ZMc+fOVZEiRTR+/PhsW95FRkbqnnvu0Xfffadnn31WTz75pDZv3qz58+frzjvvdHuLvJtuukkvv/yyhg0bpnnz5qlWrVp64IEHVLJkSf3xxx+aMGGCKlWq5FjulPHZyPy581Zfcvpd4OyznvFzP/NWmosWLdK+ffscPx8uV69ePf3yyy/q3r27Ro4cqf/+979q3769rrvuOgUHB+vAgQNasGCBEhMTFRMTo2nTpmW7ORAKAV8ndsDbXnnlFcfMgLOHuzMMcXFxLs/hzo0bNmzYYP7zn/+YChUqmKCgIBMeHm5q165t3njjDXPixIkc6+/atcv079/fXHfddSY0NNQEBwebGjVqmJdfftmkpqbmum61atXMgAEDzO7du53WOXv2rJk+fbrp3LmzqVatmgkNDTX+/v6mZMmSpmnTpubTTz/NNltkjHHciKB169amfPnyJigoyAQGBppy5cqZjh07mgULFuT4Wt2xY8cOx8xaSkqK0zIZywUy76BxucxX4F/+aNKkidde14kTJ8zIkSNNnTp1THh4uClSpIgpV66ceeihh3K8WUduLV++3PTq1ctUr17d0VapUqVMs2bNzLvvvmuOHDmSrU7mGbTMD6tdCVztbqL/m4Xz1tgbOXKk5XlyemTMMLt6jc5+9VmVzXzO3Dh06JB5/vnnzQ033GCKFi1qgoKCTNWqVc1TTz2V4042l9cNCQkxVatWNf369cv216HM/vrrL/PKK6+Yxo0bm+joaBMQEGCCg4PNddddZ5588kmzefNml3WPHDliunXrZkqVKuWYAe/fv785fvx4rl/73LlzTYsWLUzx4sVNQECAiY6ONq1atTJz5851+l5f/rnzRl9y+jw6+6xb/dzP/PPBlfnz55sePXqYatWqmfDwcBMUFGTKlStn7r77bpOQkGBOnjzpdv9RsNiMyeUGlgAAAMC/CLtkAAAAABYIzAAAAIAFAjMAAABggcAMAAAAWCAwAwAAABYIzAAAAIAFblyST+x2uw4cOKCwsDDZbDZfdwcAAACXMcboxIkTKlOmjPz8XM8jE5jzyYEDBxQbG+vrbgAAACAHe/fuVbly5VweJzDnk7CwMEmXvgHh4eE+7k3hZ7fbdejQIUVFRVn+DxBA/mEcAr7FGPS+tLQ0xcbGOnKbKwTmfJKxDCM8PJzA7AV2u11nz55VeHg4PyQAH2EcAr7FGMw/OS2f5d0GAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGD2soSEBMXHx6tOnTq+7goAAAC8gMDsZX369NHmzZu1Zs0aX3cFAAAAXkBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsBDg6w4AwNXCZvN1D/Kbn6QYX3ciXxnj6x4AKIiYYQYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmL0tISFB8fLzq1Knj664AAADACwjMXtanTx9t3rxZa9as8XVXAAAA4AUEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgdnLEhISFB8frzp16vi6KwAAAPACArOX9enTR5s3b9aaNWt83RUAAAB4AYEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBg9rKEhATFx8erTp06vu4KAAAAvIDA7GV9+vTR5s2btWbNGl93BQAAAF5AYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmL0tISFB8fLzq1Knj664AAADACwjMXtanTx9t3rxZa9as8XVXAAAA4AUEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMBCgK87AO+x2Xzdg/zkJynG153IV8b4ugcAAMAZZpgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmL0tISFB8fLzq1Knj664AAADAC2zGGOPrTlyN0tLSFBERodTUVIWHh1+RNm22K9IM8gkjsfBjDBZ+jEMUZHa7XSkpKYqOjpafH3Oe3uBuXuPdBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALHgfmZcuW6eLFi97sCwAAAFDgeByY77jjDh07dsybfQEAAAAKHI8DszFGrVu31hdffKHTp097s08AAABAgZGnNcy1atXSCy+8oNKlS+uJJ57Q2rVrvdUvAAAAoEDIU2AeNmyY9u7dqwkTJmj//v2qX7++atasqbFjxyo1NdVbfQQAAAB8xuPAvHPnTkVFRSkgIEAdOnTQ999/r127dqlDhw565513VKZMGXXt2lUrVqzwZn8BAACAK8pmjDHePqkxRjNnztQTTzyhtLQ0Va1aVY8//rgee+wxXXPNNd5urkBKS0tTRESEUlNTFR4efkXatNmuSDPIJ94fibjSGIOFH+MQBZndbldKSoqio6Pl58fOwN7gbl7z+ru9cuVKdevWTd26dVNqaqqMMUpOTtbHH3+scuXK6aGHHtLGjRu93SwAAACQLzwOzP7+/kpJSZEkHT58WKNGjVJ8fLwaN26s//73vzp9+rRuu+02TZo0SUlJSdq6dasWL16sgIAA1a1bVzNmzPDaiwAAAADyS4CnFY0xWrRokebMmaNvv/1WFy5ckDFG0dHReuyxx9SjRw9VrVo1S51bb71Vt956q9q0aaMXXnhB999/f55fAAAAAJCfPA7MkvTYY4/JGCM/Pz/deeed6tGjh9q0aaOAAOvT3nTTTdqzZ09emgYAAACuiDwF5tjYWHXr1k3du3dXbGysW3UWLVqkoUOHqmTJknlpGgAAALgi8hSYV69erejo6FzVOX36tBo0aKAqVarkpWkAAADgivA4ME+YMEERERG5rte2bVu1bdvW02YBAACAK8rjXTK6dOmirVu3av369dq0aVO24999952Sk5Pz1DkAAADA1zwOzCtWrFDNmjV18803q3HjxtmOf/DBB4qLi9Nnn32Wpw4CAAAAvuRxYJ42bZqKFCmi119/3ekM8xdffKGnnnpKvXr10o8//pinTgIAAAC+4vEa5uXLl+ull17SkCFDnB6PjY3VW2+9JT8/P7399ttq1qyZx50EAAAAfMXjGeZ//vlHbdq0ybHcQw89pA0bNnjaDAAAAOBTHgdmu92usLCwHMuFh4fr+PHjnjYDAAAA+JTHgTkuLk4LFy7MsdzChQsVFxfnaTMAAACAT3kcmNu2batBgwZp9uzZLsvMnDlTgwcPVrt27TxtBgAAAPApmzHGeFLx2LFjqlmzpvbt26fSpUurdu3aioqKkiQdOnRIa9euVVJSkmJjY/XHH3+oRIkSXu14QZeWlqaIiAilpqYqPDz8irRps12RZpBPPBuJKEgYg4Uf4xAFmd1uV0pKiqKjo+Xn5/GcJzJxN695vEtGiRIltHjxYnXs2FEbN27Ut99+K9v//bbIyOA1atTQrFmz/nVhGQAAAFcPjwOzJFWpUkXr1q3TnDlztHDhQu3evVvSpfXNLVu2VNu2bfkfEAAAAAq1PAVmSfLz81P79u3Vvn17b/QHAAAAKFDyffr31KlTGj58eH43AwAAAOSLfA/MJ0+e1LBhw/K7GQAAACBf5GlJxoEDBzRx4kStW7dOx44dU3p6erYy58+fz0sTAAAAgE95HJhXr16tFi1a6OTJk8ppZzobey0BAACgkPI4MA8ePFgXL17UU089pXr16ikyMlJFihTJVu7IkSO677778tRJAAAAwFfyNMM8ZswYde/e3bLcwYMHc5yBBgAAAAoqjy/6CwwM1B133JFjuVKlSslut3vaDAAAAOBTHgfm2267TXv37s2x3IULF7Rs2TJPmwEAAAB8yuPA/Oabb+rll1/W/v37LcsdPXrUrZloAAAAoCDyeA3zzJkzVbZsWVWqVEnNmjVT5cqVVbJkyWw7Ypw8eTLPnSxMEhISlJCQ4HSLPQAAABQ+NuPhFXl+fn6y2WyWF/RlHLfZbP+6AJmWlqaIiAilpqYqPDz8irTJ7n2FG9fGFn6MwcKPcYiCzG63KyUlRdHR0fLzy/d7z/0ruJvX8nTjkmeeeUbFihWzLHPixAmNHj06L80AAAAAPpOnGebk5GRFR0dblktOTlaZMmX+dTtlMMOM3GJmq/BjDBZ+jEMUZMwwe5+7ec3jd3vy5MkqXrx4juVKliypJUuWeNoMAAAA4FMeL8no3LmzW+WKFCmiJk2aeNoMAAAA4FN5ns8/e/asJk+erJ49e+ree+9VcnKyJGnGjBk6cuRInjsIAAAA+FKeLvpbunSpHn74Ycftr202m06fPi1JGjlypLp166bJkyerQ4cOXuksAAAAcKV5PMO8detWtW7dWgcPHlT9+vXVuXNnFSlSxHH866+/1kMPPaQHHnhAf/zxh1c6CwAAAFxpHs8wjxw5UhEREUpMTNSNN94oSfrmm28cxytUqKDPP/9c6enpeuuttzR9+vQ8dxYAAAC40jyeYf7pp580evRoR1h2pVevXlqzZo2nzQAAAAA+5XFgTk5O1i233JJjuZiYGB04cMDTZgAAAACf8jgwR0REaPfu3TmW27Rpk1v7NQMAAAAFkceBuWHDhhoyZIjOnDnjskxaWppefPFF3XrrrZ42AwAAAPiUxxf9Pfvss2rSpIkqVaqkHj166JZbbpHdbtfvv/+uTZs2afXq1friiy+UkpKicePGebPPAAAAwBVjM8YYTyt/+OGHeuaZZ+TqFDabTWPGjFGvXr087mBh5e69yb3JZrsizSCfeD4SUVAwBgs/xiEKMrvdrpSUFEVHR8vPL8/3noPcz2t5erf79++vn3/+Wa1atVJISIiMMTLGKCQkRK1bt9aKFSv+lWEZAAAAV4883elPkho1aqS5c+fKbrfr8OHDkqRrrrmG//kAAADgquBxYG7atKkkKTIyUjNnzpSfn5+io6O91jEAAACgIPB4Gnjp0qVKSkrSnXfe6c3+AAAAAAWKxzPMAQEBmjx5smrXru3N/gAAAAAFisczzGXLllXJkiVzLGe327Vnzx5PmwEAAAB8yuPA3K5dO33//fc5ljt06JAqVqzoaTMAAACAT3m8JGP48OG6++675e/vr+7duysoKMhl2Txs9QwAAAD4lMeBuW3btrLb7erbt68GDRqkuLg4RUVFyXbZzv3nz5/P9hwAAABQWHgcmJcuXer4+tSpU9q8ebPLsgRmAAAAFFZ5unHJrFmzFBkZaVnmyJEjuu+++/LSDAAAAOAzeQrMjRo1yvFmJQcPHmQNMwAAAAotj3fJWL58uU6fPq39+/dblitVqpTsdrunzQAAAAA+5fEMc+PGjSVdCsQHDhzwWocAAACAgsTjGWZjjHr16qW///7bm/0BAAAAChSPA3PRokU1cOBAhYeHe7M/AAAAQIHicWCOj4/XsWPHcix36tQpDR8+3NNmAAAAAJ/yODD3799fb7/9do7lTp48qWHDhnnaDAAAAOBTHl/0d9tttykxMVH169dX3759Va1aNad3+ktJSclzJwEAAABf8TgwV6hQwRGOu3Tp4rUOAQAAAAVJnm5cUrZsWfn7+1uWSU9Pz3GvZgAAAKCgylNgXrt2bY53+ktOTlaZMmXy0gwAAADgMx5f9NesWTMFBQXlWC40NJQlGwAAACi0bMYY4+tOXI3S0tIUERGh1NTUK7ZX9WXXW6KQYSQWfozBwo9xiILMbrcrJSVF0dHR8vPzeM4Tmbib1/L93U5LS9Njjz2W380AAAAA+SLfA/OZM2c0derU/G4GAAAAyBceX/TXtGlTt8qdP3/e0yYAAAAAn/M4MC9dujTHMjabTcaYbDczAQAAAAqLPG0rN3v2bJUoUSLLc8YYHTp0SDt27NCkSZN0xx136IEHHshTJwEAAABfyVNgbtiwoeU+zIMHD9YjjzyiEydO5KUZAAAAwGc8vujPbrfneNMSm82mwYMHa8SIEZ42AwAAAPhUvu+SERgYqA0bNuR3MwAAAEC+yPfAPGXKFIWEhOR3MwAAAEC+8HgN8/Dhw10eS09P17Fjx7R27Vr9+uuvXPQHAACAQsvjwPzqq686to2zcuONN+q9997ztBkAAADAp/K0S8YzzzyjYsWKZXve399fERERqlmzpm699Vb2YQYAAEChlafA/Nxzz+W4UwYAAABQmHl80d/cuXOz3bQEAAAAuNp4PMN8zz33eLMfAAAAQIGUq8C8ePFiHThwQJJUrFgxdejQwWm5BQsWaPPmzerbt6+KFCmS914CAAAAPuJ2YD537pw6deqkEydOyBij66+/3mVgTk5O1sCBAzV58mTNmzdPMTExXuswAAAAcCW5vYZ5wYIFSktLU2xsrGbPnq0///zTZdk777xTTzzxhDZu3OgyVAMAAACFgduBedGiRYqIiFBiYqLatWsnPz/XVWNiYvTxxx9rxowZ+u233zR9+nSvdBYAAAC40twOzL/99pv69OmjMmXKuH3ydu3a6ZFHHtG0adM86hwAAADga24H5m3btql58+a5buDhhx/Wb7/9lut6AAAAQEHgdmBOTU1VXFxcrhuoWLGiDh06lOt6AAAAQEHgdmAOCwvTxYsXc91Aenq6QkJCcl0PAAAAKAjcDsxxcXFav359rhv4888/Vb58+VzXAwAAAAoCtwNz06ZNNXbs2Fw3MG7cODVr1izX9QAAAICCwO3A/MQTT2jZsmUaMmSI2ycfNGiQli1bpt69e3vUOQAAAMDX3A7MVatW1dNPP623335bderU0aRJk7Rv375s5fbt26dJkyapdu3aGjVqlAYNGqQqVap4tdMAAADAlWIzxhh3C9vtdnXu3FlffvmlbDabJCk0NFQRERGSLu2kcfr0aUmSMUZdu3bV+PHjHWX/TdLS0hQREaHU1FSFh4dfkTb/hW/zVcX9kYiCijFY+DEOUZDZ7XalpKQoOjra8gZycJ+7eS1X77afn5+mTZumMWPGKDo6WsYYnTp1SgcOHNCBAwd06tQpGWNUqlQpffrpp/riiy/+lWEZAAAAV49czTBndu7cOf3888/65ZdfdPDgQdlsNpUqVUoNGjRQ48aNFRgY6O2+FirMMCO3mNkq/BiDhR/jEAUZM8ze525eC/C0gaCgILVs2VItW7b09BQAAABAgcd/TwAAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAgsfbyl2tdu3apVq1aql8+fJZni9fvry+/fZbH/UKAAAAvuJxYN6zZ49iY2Nd3snv+PHj6tmzp5o2barHH3+8UN3xr02bNpo4caKvuwEAAIACwOMlGRUrVtShQ4dcHjfG6K+//lLv3r310ksvedoMAAAA4FMeB+ac7qhdokQJ/fnnn5o6daqmTp3qaTPZJCYm6rrrrpPNZtOuXbu8dl4AAADAmXy/6K927dpKSkrK83nOnDmjgQMHqnHjxtq6dWuu6s6fP18tWrRQZGSkihYtqlq1aumjjz6S3W53Wn7r1q1q3769atWqpeuvv179+vVTSkpKnl8DAAAACh+31zCvX79e69aty/LcjBkzFB4e7rLOqVOnNHv2bJUqVcrjDkrSjh071KpVK507d04//PCDWrZs6Xbdt956S0OGDFHr1q21aNEihYWFafz48erXr58WLlyo2bNnKyDg/78N/v7+Sk9P15tvvqnrrrtOBw4c0AMPPKAGDRpo7dq1KlGiRJ5eCwAAAAoZ46ZXX33V2Gw24+fnZ/z8/LJ8bfWw2Wxm+PDh7jbj1Jw5c0yvXr3MiRMnjLm0FsRIMjt37rSst2zZMiPJxMfHm/Pnz2c59vjjjxtJZsSIETm2/9dff7ldNkNqaqqRZFJTU92uk1cSj8L8QOHn688QD8Yhrm7p6ekmKSnJpKen+7orVw1385rNGGPcCdZz5szRN998kxGyNXnyZN13330KCQlxWt7Pz0/FixdXkyZN1KZNmzyF+vT0dPn7+zv+nbHjxs6dO1WhQgWX9Zo1a6affvpJ48aNU8+ePbMc27Jli6pVq6bw8HAlJye7fB0ZIiIi1LhxY82dO9etPqelpSkiIkKpqamWs/DeVIg2IoET7o1EFGSMwcKPcYiCzG63KyUlRdHR0fLz41Ya3uBuXnM7MF/Oz89PycnJio6O9riTnnInMB86dEgxMTGy2+3aunWrqlSpkq1MbGys9u3bp1mzZqlDhw6SpNTUVIWEhCgwMDBL2cjISNWvX1/z5s1zq48EZuQWv6gLP8Zg4cc4REFGYPY+d/Oax+/2hAkTFBER4Wn1fLd27VrZ7XYVKVJE1157rdMy1apVkyStWbPG8dyAAQM0e/bsLOV2796tY8eOqWbNmvnWXwAAABRMHt+4pEuXLm6VO3XqlEaNGqWXX37Z06Y8smPHDklSVFSUy/+FlS5dOkvZDO+++66aNm2q6OhonTp1Sn369FHJkiXVp08fl+2dO3dO586dc/w7LS1N0qX/DbrajcP7+N9mYXblPifIP4zBwo5xiILMbrfLGMPn1IvcfS/z/dbYJ0+e1LBhw654YM4IrFZrk0NDQyVdWoaR4ZlnntHYsWPVrFkz2Ww2HT16VPXr11diYqLKli3r8lwjR47UsGHDsj1/6NAhnT171tOXkUsxV6gd5Ae2LrwaMAYLO8YhCjK73a7U1FQZY1iS4SUnTpxwq5zbgXnp0qWaPXu2unfvrpo1a6p79+5u1Ttz5oy7TRQIN954oz7++ONc1xs6dKieeeYZx7/T0tIUGxurqKioK7aGGYWbL64HAJAV4xAFmd1ul81ms/zrOXInODjYrXJuB+aOHTvq+PHjWrt2rRITEzVx4kS3O2PzwZUwGSHVKrCfPn1akryyFjsoKEhBQUHZnvfz8+NDDbfwOQF8j3GIgs5ms5EtvMjd99HtwPzMM89o2rRpWbZne//993MMm8ePH88y83qlZFzod+jQIdntdqdvSMYdCF1dFAgAAADk+7ZyBw8eVOnSpb26QN2dbeVSUlIc7eZmWzlvYVs55BbbWRV+jMHCj3GIgoxt5bwv37eVW7JkiSIjI3MsFxkZqSVLlnjajMeio6PVpEkTSdKPP/6Y7fiWLVu0b98+hYWF6a677rrS3QMAAEAh4XFgbtKkiQICcl7RkZ6ert27d3vaTJ688sorkqSPPvpIFy9ezHJs1KhRkqTnnnvOsVsGAAAAcLl8n89PTU1Vt27d8nyeQ4cOKTk5WcnJyZbPZdakSRO9/vrr2rRpk9q3b6/ff/9dW7du1ZAhQ/TZZ5+pVatWGjp0aJ77BgAAgKtXnvZhPn36tL755hutW7dOx44dU3p6erYy3tpWrk6dOtlmquvWrev42tVS7Oeff14333yzRo0apaZNm+rChQuqWrWqPvjgA/Xp00f+/v5e6R8AAACuTh5f9Ld161Y1b95c+/fvdxlWHY3YbE7D9NWMi/6QW1xsVPgxBgs/xiEKMi768z5385rHM8wDBw7UgQMH1K5dO9WrV0+RkZEqUqRItnK+2lYOAAAA8AaPA/OyZcv05ptv6tlnn7Usd/DgQT399NOeNgMAAAD4lMfz+cYYtWvXLsdyUVFR2rlzp6fNAAAAAD7lcWCuXbu2jh8/7lZZX9wa21cSEhIUHx+vOnXq+LorAAAA8AKPL/pbuXKlXn/9dc2ePVvBwcEuyx08eFBlypThor8r4F/0/5KrEhcbFX6MwcKPcYiCjIv+vC/fL/rbsWOHSpcurXLlyun+++9X5cqVVbJkyWyzyampqZ42AQAAAPicxzPMfn5+stlsMsZYLrnIOM4Mc/5jdqtwY2ar8GMMFn6MQxRkzDB7X77PMEvSfffdp5CQEMsyp0+f1syZM/PSDAAAAOAzeQrMH374oaKjoy3LJCcn66uvvspLMwAAAIDPeDyf/9prryksLCzHcsWLF9eECRM8bQYAAADwKY/XMMMaa5iRW4zEwo8xWPgxDlGQsYbZ+9zNa26/202bNnV732UAAADgauF2YF66dKkuXLiQn30BAAAACpxcXfTXv39/y10x/P39VaxYMcXGxqpevXpq1KhRnjsIAAAA+FKuAvOePXsUGBjo8rjdbtfJkye1Z88eHTlyRNWqVdPUqVN1880357mjAAAAgC/kKjB//fXXOW4jl2HTpk169dVX1bJlS23YsEExMTEedRAAAADwJbfXMDdp0sRydvly119/vb766ivVqlVLCQkJHnUOAAAA8DW3A/OSJUtUvHjxXDfQu3dvLVy4MNf1AAAAgIIg3zfxq1GjhrZv357fzRQYCQkJio+PV506dXzdFQAAAHhBvgfmoKAgnThxIr+bKTD69OmjzZs3a82aNb7uCgAAALwg3wPzwYMHFRwcnN/NAAAAAPnC7cD83//+V+fOnct1AwsWLFCZMmVyXQ8AAAAoCNwOzN26dVNqamquTr5u3TqNGjVKDRo0yHXHAAAAgILA7X2YjTFatWqVSpQoYVnm1KlT2r17t37++Wd98803unDhgh5//HGvdBYAAAC40nJ145IOHTq4XdYYI5vNpmHDhqlhw4a57hgAAABQEOQqMBtjLI/bbDYVK1ZM5cuXV/369dWjRw/Vq1cvTx0EAAAAfMntwGyz2ZSUlOT2rbEBAACAq4HbF/3lNLsMAAAAXI3cnmG22+352Q8AAACgQMr3G5cAAAAAhRmBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYPayhIQExcfHq06dOr7uCgAAALzAZrgjSb5IS0tTRESEUlNTFR4efkXatNmuSDPIJ4zEwo8xWPgxDlGQ2e12paSkKDo6Wn5+zHl6g7t5jXcbAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBg9rKEhATFx8erTp06vu4KAAAAvMBmjDG+7sTVKC0tTREREUpNTVV4ePgVadNmuyLNIJ8wEgs/xmDhxzhEQWa325WSkqLo6Gj5+THn6Q3u5jXebQAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgdnLEhISFB8frzp16vi6KwAAAPACmzHG+LoTV6O0tDRFREQoNTVV4eHhV6RNm+2KNIN8wkgs/BiDhR/jEAWZ3W5XSkqKoqOj5efHnKc3uJvXeLcBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYPayhIQExcfHq06dOr7uCgAAALzAZowxvu7E1SgtLU0RERFKTU1VeHj4FWnTZrsizSCfMBILP8Zg4cc4REFmt9uVkpKi6Oho+fkx5+kN7uY13m0AAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBg9rKEhATFx8erTp06vu4KAAAAvMBmjDG+7sTVKC0tTREREUpNTVV4ePgVadNmuyLNIJ8wEgs/xmDhxzhEQWa325WSkqLo6Gj5+THn6Q3u5jXebQAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMBCgK87AAAA4C02m697kJ/8JMX4uhP5yhhf98A5ZpgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALAQ4OsOXK2MMZKktLS0K9hq+BVsC952ZT8ryB+MwcKOcXg1YBwWZld6DGa0l5HbXCEw55MTJ05IkmJjY33cExQWERG+7gEAxiHgW74agydOnFCEReM2k1OkhkfsdrsOHDigsLAw2Ww2X3en0EtLS1NsbKz27t2r8HBmDwBfYBwCvsUY9D5jjE6cOKEyZcrIz8/1SmVmmPOJn5+fypUr5+tuXHXCw8P5IQH4GOMQ8C3GoHdZzSxn4KI/AAAAwAKBGQAAALBAYEahEBQUpFdeeUVBQUG+7grwr8U4BHyLMeg7XPQHAAAAWGCGGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGW67/fbbZbPZsj26du2apdyuXbuclrPZbFq6dKmkS3dCnDNnjjp37qxKlSopKChIRYsWVY0aNfTss8/qwIED2dq3Oq/VY9euXU5fz9q1a9W7d29df/31Kl68uAIDA1WqVCk1btxYzz33nBYtWqSLFy96+V0EfM/dsXw5Y4xatWqlypUrKzk5OcsxV+Nv4sSJ+fdCgALq6NGjevXVV1WnTh1FREQoMDBQpUuXVq1atfToo4/qk08+0d9//+0o37Vr12xjZ9KkSW63V6tWrSx1K1So4DjmarxnPPz9/RUVFaXWrVtr8eLF3nwbri4GcNORI0dMUlKSadCggZFkBg4caJKSkszx48ezlLt48aJJSkoyq1evNpKMJLN69WqTlJRkzp07Z4wxpkWLFkaSqV27tpkzZ47Ztm2b+fXXX82AAQOMn5+fKV68uElMTHT7vM4es2bNMpLMzp07s5zn9OnT5rHHHjOSTLt27czcuXPNtm3bzJYtW8zChQtNr169THBwsJFkoqKizPr16/P1fQWuNHfH8uVSUlIcY++rr77Kcixj3GUcnzVrlklKSjKnT5/Oz5cCFDibNm0yMTExJiwszAwbNsysXr3a7Nmzx2zevNlMmjTJVKtWzUgy119/vaPO8ePHTVJSkhk4cKBjDFWuXNlcvHgxx/bmzJnjqNOgQQOTlJRkUlJSHMddjfekpCRz4MABs3btWjNs2DATFBRkJJmEhIR8eV8KO26NDbdFRkZKkgIDAyVJxYoVU0xMTLZy/v7+iomJ0dmzZx3PRUVFZSmbkpKiuLg4/fTTTwoLC3M8X7duXQUEBGjUqFF68MEHtWPHDgUEBLh9Xmf9zezChQu66667tGzZMn300Ufq06dPluNVq1ZVixYt1KtXL9166606dOiQjhw5kuN7AxQm7o7ly0VFRalv377atm2bmjdvnuXY5fUjIyPdOidwtXn88ceVnJys6dOn64EHHshyrHr16mrZsqVuvvnmLM9HREQoIiJCxYoVU1hYmM6ePavt27dr6tSpeuyxxyzbe+211xQZGamjR48qMDDQ6ViUXI/30qVL65ZbbpGfn59eeuklPffcc3rooYdUokQJj9+DqxFLMuAz999/f5awnOHJJ5+UJO3Zs0e//vqrx+dv1KiRDh06pPLlyzuee/7557Vs2TK1adMmW1jO7IYbbtCrr77qcdvA1WrMmDGaP3++ihcv7uuuAAVOamqqEhMTJUl333230zIxMTHZgnRmkZGR6tKliyRpxIgRSk9Pd1l23rx52rFjR47Lqdxx5513SpJOnz7teA34/wjM8Inly5drxIgRTo+VK1fO8fXRo0dzfe6JEyfKZrOpSJEiuuaaa+Tnd+ljnpycrI8++kiSNGDAgBzP88gjj6hChQoKDg7OdR+Aq82rr77K2mQgB3a73fH1/v37XZZ76aWXNGvWLJfHX3jhBRUpUkTbtm3T1KlTXZYbPny4BgwY4HTyKbeKFCni+PrMmTN5Pt/VhsAMnwgLC3P8eehySUlJjq9r1KjhtTbnzJmjs2fPKjAwUI0bN86xfFRUlHbu3Kn69et7rQ9AYfXss88qKSlJ999/v6+7AhRYJUqUUJkyZSRJvXr10sGDB52WK1mypK677jqX56lQoUKOs8wLFizQX3/9pf79+3uh59KyZcscX1erVs0r57yaEJhR4MybN0+S1KpVK1WsWNFr5/3ll18kSddee61jXTQA92SsewwJCfF1V4AC7eWXX5Yk/fzzz6pYsaIeeeQRzZ49WydOnMjVeTLPMv/vf//Ldvy1115T375987zWOC0tTVOnTnX0u127dl6drLpaEJjhsTfeeEPFihVz+bj++utzfc7Tp0/r/fffV1hYmD788MMcy19//fXZ2u3Zs6fTshn/02ftJQAgvzz55JNKSEhQZGSkzpw5o6lTp6pjx44qWbKkmjZtqrFjxyotLS3H81jNMv/4449at26dnn766Vz3L/Pv7qJFiyoiIkKPPPKIihcvrhdffFHTp0/P9Tn/DQjM8FjPnj21bt06l4+MmeLcePbZZ7Vr1y5NnDhR1157bY7l582bl63d4cOHOy1rs9ly3R8AAHKrd+/e2rt3r6ZMmaJOnTqpePHiunDhgpYsWaI+ffro2muv1dy5c3M8T8Ys89atWzVt2jTH88OHD1evXr10zTXX5LpvmX93//TTT+revbtCQ0P16KOP6tVXX1VQUFCuz/lvwN+l4bHIyEhVrlzZ5fHcLnt488039fHHH+uLL75Qhw4d3KoTFxeXZYN2SRo0aJAGDRqUrWypUqUkScePH89VvwAAyK3Q0FB17txZnTt3Vnp6ulauXKnp06dr0qRJOnz4sB588EFt3rxZcXFxLs9RoUIFPfbYYxo/frxGjBihhx56SMuXL9eaNWs0Y8YMj/qV+Xd35cqVVa9ePaWkpGjEiBG6ePGiRo4c6dF5r3bMMKNAGD16tF566SVNmjTJK9vjONOgQQNJ0o4dO7iDHwDgivH391fjxo01duxYbdiwQSVKlNDp06ezzBq7kjHLvGXLFk2bNk3Dhw/X448/7pgE8oa33npLNptNo0aNcnl33H87AjN87vXXX9fgwYM1ffp0Pfroo/nWTps2bRQSEqLz589r+fLlOZbftm2bJk6cqBUrVuRbn4CCzhijs2fPZtkuC4Brb7zxhuU9BCpVqqQHH3xQktwKpxUrVnTcvOTpp59WYmKi07+i5kV8fLzatm2rCxcu6I033vDqua8WBGb41PPPP68RI0bo66+/VseOHbMcGzRokKZMmeK1tkqVKuW4QOKDDz7IsXy/fv3UrVs3l9sCAf8Gu3fvVkhISJYtpwC49umnn+Z4DU/G/v5RUVFunTNjlvnw4cPq1q2bypYtm+d+Xm7o0KGSLt3LYPfu3V4/f2FHYIZPGGM0YMAAffjhh/ruu+90zz33ZCuzevVqbd++3avtDhs2TC1atNCcOXOUkJDgslxCQoIWLFigu+66K1uQBwDAyn//+1+lpqY6PXby5El9/fXXstlsat++vVvnq1ixooYNG6a2bdtqyJAh3uyqQ926dXXHHXfowoULrGN2gov+4LajR4/q/PnzOn/+vKRLgz45OVkhISGKiIhwlEtPT9ehQ4d06NAhx3OHDh1ScHCwIiMjFRgYqF69eumTTz5RVFSUBg8e7LS9LVu26Pbbb3frvIGBgYqMjMzxNQQEBGjOnDnq3bu3+vbtqx9//FHdu3dX9erVlZ6eru3bt2v8+PH6+uuv1apVK7bXwVVp586dOnXqlE6dOiVJSklJ0caNG52WPXDggKT/P94z7gCWmpqq5ORkx5hOTk7OUu/o0aNKTk5WREQEezfjX8Vms2nXrl2qX7++Bg0apHr16ik8PFwpKSlau3at3nvvPe3atUvDhg1TrVq1JF0aXxmP9PR0x3iKiYlxnDdjBjizzPUk6fz580pOTpa/v79j9trV725nvzeHDh2qJUuWaMKECerdu7eio6MdY/xfzwBuatKkiZGU7dGlS5cs5Xbu3Om0nCSzZMkSY4wxERERLstkfrzyyitunbdJkya5fj2rV682jz/+uKlSpYoJDQ01gYGBpnz58qZTp05m7ty5nr9RQAHnaixbPVzVyRjTrupNmDDBp68VuNIOHDhgPv74Y/PQQw+Z66+/3oSHhxs/Pz8TGhpqqlatah577DGzYsWKLHVeeeUVp+MnJ67qxcXFOcq4Gruufm/ecsstWcotWrQoL2/HVcNmjDF5zNwAAADAVYs1zAAAAIAFAjMAAABggcAMAAAAWCAwAwAAABYIzAAAAIAFAjMAAABggcAMAAAAWCAwAwAAABYIzAAAAIAFAjMAAABggcAMAAAAWCAwA4CX3X777bLZbC4foaGhqlGjhoYMGaIjR474ursAgBwQmAHAy2bPnq2kpCQ1aNBAkjRw4EAlJSUpKSlJu3bt0pw5cxQTE6O33npLN954o7Zt2+bjHgMArAT4ugMAcLWJjIyUJAUGBkqSihUrppiYGMfxuLg4NWvWTPXq1dPatWvVrVs3rVixwid9BQDkjBlmAPABPz8/9ejRQ5K0cuVK7d2718c9AgC4QmAGAB8pX7684+tdu3ZlWefctWtXJSUlqXv37ipTpoz8/f0dz2c2f/583XPPPYqKilJQUJDi4uLUo0cPbd++3WW7R48e1ZAhQ1StWjWFhISoaNGiuuGGG9S7d28tX77caZ1vv/1WLVq0UGRkpIKDg3Xttdeqb9++2r9/v9Pyixcv1t13361y5copMDBQ5cqV03333acvv/xSp0+fzlJ237596t+/v6pVq6bQ0FBFRESoUaNGeuutt7Rz585s5zbGaNKkSbr11lsVERGh0NBQxcfHa+jQoTp27JjT/nz11Vdq0qSJYmJiFBgYqIoVK6pLly767rvvdOHCBZfvFQBIBGYA8JkDBw44vo6JiVFSUpLef/99SdLhw4d1zz33qEmTJkpMTNSiRYsUHR2dpf7QoUN19913y263a86cOdq6davef/99LV68WDVr1tTChQuztblt2zbdfPPNGjt2rAYMGKBNmzYpMTFR999/v8aPH6/GjRvrzz//zFJn4MCBatu2rfz8/PTNN99o3bp1GjJkiCZPnqybb75ZGzZsyFL+008/VYsWLXTNNdfom2++0bZt2/Tf//5Xhw4d0oMPPqgZM2Y4yu7fv1+1atXSDz/8oHfeeUebNm3S8uXLdccdd2jo0KHq1q1blnPb7XY98MAD6tq1qypWrKgFCxZozZo16tatm9577z3VqVMnW4h//vnndf/996t27dpasGCBtmzZojFjxmjdunW69957tXLlSve/aQD+nQwAIF80adLESDKvvPKK0+MtW7Y0kkx8fLzjuQkTJhhJRpKZO3dulvIvvvii6d+/vzHGmC+//NJIMjfccIM5f/58lnKbN282AQEBpnjx4mb//v2O5y9evGhuuOEGI8nMmDEjW3/eeOMNI8n88ccfjuemTZtmJJnrr7/eXLx4MUv5OXPmGEnmxhtvNHa73fF8XFycCQsLM+np6VnKnzhxwpQoUcJMmDDB8dwrr7xiJJmvvvoqW3969OhhmjRpkuW5kSNHGknmrrvuylb+gw8+MJJM69atHc+dOXPGBAcHm+uvvz5b+b179xqbzWaWLFmS7RgAZEZgBoB84iww2+12s3PnTvP4448bSSY0NNQkJiY6jmcE5ooVK1qeOyP4jh071unx1q1bG0lm8ODBjudmzZplJJnSpUtnCbgZDhw4YIoXL27Wr1/veK5GjRpGkvnkk0+ylbfb7aZMmTJGklm6dKnj+dDQUBMYGGiSkpKy1ZkxY4b566+/HP/u3bu3kWRGjRqVreyGDRvM7NmzHf8+d+6ciYyMNJLMggULspU/ffq08fPzMzabzezcudMYY0xKSoqRZGJiYsypU6ey1Rk/frzZt29ftucBIDOWZABAPnvjjTdUrFgxFStWTMHBwapYsaL+97//qVOnTvrtt98c289lVq1aNZfnS0pKciyDqFu3rtMyGc8vWLDA8VzGEo3atWvLZrNlq1O6dGkdO3ZMN9xwg6OdjRs3OupczmazqWLFipKUZVlDs2bNdP78edWtW1djxoxRSkqK49h9992X5bU1a9ZMkjR48GD16tVLv/32m+NYjRo11L59e8e/f/vtNx09etRlf0JCQlS6dGkZY5SYmChJioqK0g033KDk5GTVrl1bEyZMUGpqqqNO9+7dVbZs2WznAoDMCMwAkM969uypdevWad26ddq8ebP27dun1NRUffXVVy6DcVRUlMvz7dmzx/H15euaM5QqVUqStHv3bsdzGV9bndtVO7fddpsj9Gd+/PLLL5KUZd3w+PHj1bp1a+3du1f9+/dX6dKl1bBhQ40dO1YnTpzI0kaHDh30zjvvKDg4WB9//LFq166t8uXL66mnntJff/3lsj/ly5d32p+kpKRs/fn666/VsGFD/fXXX+revbuioqLUvHlzTZ48WefOnXPrvQDw78Y+zACQzyIjI1W5cuVc1XE2A+xLCxYsyLKX9OXCw8MdX0dFRWnu3Ln6+++/NWXKFH311VdatWqVVq1apTfffFPff/+9YxZbkp599lk9+eSTmjFjhmbMmKGffvpJH3zwgT766CO99dZbGjhwYJa2/P39tW7dOsv+lixZ0vH1tddeq5UrV2rt2rWaOnWqZs6cqR9//FE//vij3n77bf3www8qV65cLt8RAP8mzDADQCGTeTu6gwcPOi2T8XxcXJzjuYyvDx06lOt2wsLCVLlyZZcPZzPd1apV04gRI7RlyxatWrVKdevW1d69e9WzZ89sZcPCwvSf//xHCxYs0P79+/Xss88qPT1dgwYN0pYtW7L0Pz09XVFRUZb9KVGiRLY2ateurdGjR2vPnj1asGCBqlatqo0bN2rw4MFuvR8A/r0IzABQyJQuXdoxQ/vrr786LbN69WpJ0p133ul4rmXLlpKktWvXyhiTrc6ePXvUvHlzffvtt9nayTjf5VauXKmaNWtq2bJljue6du2qffv2ZSlXv359zZo1S5L0xx9/OJ7//PPPNX369Cxlo6Oj9c4776hZs2ay2+2Obe5uueUWx8yxq/589dVXqlmzpmMf6sOHD6tr1646e/aso4zNZlPLli01fvz4bP0BAGcIzABQCL344ouSpLFjx+r8+fNZjv3111+aP3++IiIi1L9/f8fzbdu2VY0aNZSUlKSZM2dmO2dCQoJ+/vnnLBfUZbQzZsyYbO3Y7XYNGzZMBw8ezHLh4qRJk/TDDz9kO3/GDUIyz1yvWLFCH330kdPXeHn5IkWKaNCgQZKk9957L1voP3PmjF577TUFBAQ4lsCcPHlSkyZNcnpDFmf9AQCnfLxLBwBcdY4cOWKSkpJMgwYNjCQzcOBAk5SU5HSbtQwXL140SUlJ5v333zeSzP33359jncGDBxtJpmXLlmblypVm9+7dZvbs2SYuLs4ULVrUzJ8/P1udLVu2mNjYWBMeHm4+/vhj888//5h169aZIUOGGJvNZsaNG+eynTvuuMMsWbLE7N692/z888+mdevWJiQkxCxfvjxLeUkmPDzcfPDBB2b9+vVm586dZt68eaZ27drG398/y1ZxXbp0MZJM586dzYoVK8yuXbvMb7/9Zvr3728kmfbt22c5d3p6unnooYeMJHPfffeZX375xezatcvMnz/fNGzY0FxzzTXm77//dpTfuXOnkWTKlCljvvjiC7N582azfft2M3PmTFO5cmUTEhJiVq1a5fI9BgBj2IcZALwuY/9lZw9XMoJdbuoYY8wPP/xg7r77bhMZGWmKFCliYmNjTffu3c3WrVtd1jl8+LAZNGiQqVq1qgkKCjKlSpUyzZs3d7q3cYZ58+aZu+66y0RGRprg4GBTuXJl061btyzhNMPatWvNc889Z2666SZTtGhRExQUZK699lrz8MMPm99//z1L2YMHD5qEhATTvHlzExUVZQICAkypUqXMrbfeaiZNmmQuXLiQ7fx2u91MmTLFNGnSxERERJjQ0FBTrVo1079//2x7KtvtdvPzzz+b3r17m+rVq5uQkBATGhpqqlatap544gmzbds2y/cXAIwxxmaMk4VsAAAAACSxhhkAAACwRGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACw8P8AfBZf9w7RdLYAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAswAAAI6CAYAAAAzGh4eAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACxwklEQVR4nOzdd1xT1/8/8FfYYAABQVAUUOps6xatVnCvugdateJqHXXvjXvVLbYfJ1Zxi6uuOhC1Wjd1oKIIzqAoCrIUyP394S/3S8wghLD09Xw88mi494z3DaG+c3LuORJBEAQQEREREZFaRvkdABERERFRQcaEmYiIiIhICybMRERERERaMGEmIiIiItKCCTMRERERkRZMmImIiIiItGDCTERERESkBRNmIiIiIiItmDATEREREWnBhJnoC+Hv7w+JRKLxER0dnd8hFjhTpkyBtbU1pk2blt+hFFhv3rxBzZo1UbJkSVy+fDm/w9GZu7u71r+HrB7ayOVy7NmzBz179oSnpyesra1RpEgRlClTBu3bt8f69euRnJystY2s/l4lEgmMjIxgZ2eHOnXqYN68eYiPj1dpZ/78+Tm6TsX/FwIDA7WWCwwMVOpX13JEhYWEW2MTfRlu3LiBGzduAAB69eoFAPj+++/x888/AwA6dOiAIkWK5Ft8eSUsLAz79u0D8DEp0UYqlSIpKQlSqRTv3r3L/eAKod27d6NLly4AgF9//RUrV67M54h0s2/fPiQmJuLs2bNYs2YNAGDSpEmoWLGi1npr1qzB2bNnoemfzkuXLqF///64efMmypYti/bt26NMmTIwNjbG48ePcfDgQdy8eROurq5Yvnw5OnbsqLadrP5eASA5ORmXL1/G5s2b8f79e5QuXRoHDhxAlSpVxDK3b9/G9evXtbajTnBwMPbu3YuoqCi4u7vj4cOHOH/+PN6+fYvhw4dDLpcDACZOnIhKlSrhu+++Q5kyZcT6W7ZsAQAsWbIEd+/excqVK2Fubq5SjqjQEIjoiwNAACD07t07v0PJcxs3bhSvPysTJ04UihQpIkyYMCEPIiucXr9+LVSrVk1wdnYWzp8/n9/hZFvm90NISEiW5Xv37q3xvbNv3z7B0tJSMDY2FpYsWSJkZGSoLbdlyxbByspKkEgkwqJFi7LsM6u/12vXrglFihQRAAglS5YU4uLi9Gons+nTpwsAhKioKJVzgwYNEttq0KCBxjYuXbokGBkZCbNnz86yP6KCjlMyiIg0mDt3LhITEzFv3rz8DqXAsre3x7Vr1yCTyVC3bt38DiffhIWFoXv37khJScGyZcswcuRIGBmp/ye2R48e2L59OwRBwNixY7Fr164c9V2tWjWMGzcOAPDs2TMsX748R+1lZe7cuXBycgIAnDlzBps2bVIpk5GRgYEDB6JcuXIYO3ZsrsZDlBeYMBMREemodevWGD9+vNKxjIwMdOvWDSkpKahVqxaGDBmSZTtt2rRB586dAQADBgzAy5cvcxRX5qkd+/fvz1FbAFC/fn2MHz8etra2KueKFi2K3377Tfx57NixePPmjVKZ1atX49q1a/j9999hZmaW43iI8hsTZiIiIh116dIF8+fPVzoWFBSEe/fuAQCGDh2a5U2BCkOHDgUAxMfHY9WqVTmKq2zZsuLzyMjIHLUFAE2aNMH8+fNhZ2en9nyvXr3g4+MDAIiNjVX6ECGTyTBlyhT07t1bLENU2DFhJiK93bp1C/3790eZMmVgaWkJOzs71K5dG/Pnz0dSUlKW9R8/fowRI0agYsWKKFKkCCwtLVGmTBl07twZGzZsQEJCgkqd9+/fY/v27fjxxx/h6ekJS0tLWFlZ4auvvsLPP/+Mu3fvqu1LsepAnz59xGOf3sGvuAnQz88vW6sivHr1CpMnT0aVKlVgY2ODIkWKoEKFChg+fDgePXqkts6nqzQoEos9e/agfv36sLW1hbW1NerXr4+DBw9m+Vqqo2llA3d3d5WyX331FSQSCR4/fpxlG35+fgBUXz/F8U+lpqZi0aJF8PLygq2tLUxNTVGiRAm0bt0aK1euRGxsrMZrkMvl2LBhAxo1aoRixYrB3NwcJUqUQPv27Q0ykqqL6OhopffHpxQ3DUokErRp00bnduvXrw97e3sAwNq1a3MUo7Gxsfg8LS1N73a0/R4/tXr1apiamgIA1q1bhwsXLgAARo4cCRMTE6VRaKJCL78nURNR3oMBbvpbvHixYGxsLJiYmAh9+/YV1qxZIyxevFioXbu2AEAoVaqUcOvWLY31d+zYIVhYWAgAhE6dOgmrV68Wli5dKvTq1UswNjYWAAjW1tbCgwcPlOq1b99eACCYmZkJ/fr1E1avXi0sXLhQaNOmjQBAsLCwEHbv3q3S33///Sds3rxZ+Pnnn8Xr37x5s9Ljv//+EwRBEM6fP69SVpOQkBDBzs5OACA0bdpUWLlypfD7778LnTt3FuPZsWOHSr29e/cKmzdvFr7//nsBgODt7S3MmjVLqFy5svDbb78Ja9euFbp27SoAECQSibBz505dfzWiyMhIYfPmzULlypUFAELlypWFzZs3C3v37lUqd/v2bfE6V65cqbaNrl27CiYmJkJgYKB4c5/idatQoYLG91N8fLxQtWpVAYBQr149YeHChcLatWuFyZMnCyVKlBB/l8+ePVOpGxcXJ9SrV08AIFSsWFGYN2+esH79emHcuHGCvb29AEDo0qWLkJqamu3XRkGXm/6ioqIEAML06dNVziUmJgqmpqYCAMHd3T3b/Xt7e4v93717V20ZXf5eo6OjxXKenp56t5Pd/y9MmDBBbLdKlSrC4cOHBQDC2rVrdW6DqDBgwkz0BcppwqxIMoyNjYWjR48qncvIyBB++uknAYBQvHhx4cWLFyr1T548KRgZGQkAhPXr16uc/+effwRzc3MBgHD9+nWlc61btxZMTEzUJjcbNmwQAAhWVlbC48ePtcauy3hBVmXDw8MFKysrAYAwZcoUlfPr1q0TAAhGRkbCqVOn1LahWHWhePHiQp06dYSUlBSl83369BEACGXKlMkyXk1mzZolABCkUqna5HLevHnidTZt2lRtG82bNxd8fHzUnlMkfereT4qEqk2bNirnEhIShIoVK6pdjSEjI0Nst3HjxipxP378WHBxcREACMOHD1d/4TrI/Dvet2+fEBsbq/K4du2axoT5woULWb522vTv31+sv23bNrVldPl7Vbz3AQi//PKL1na6deum9jpjY2Oz/f+FpKQkwc3NTWzbwsJCqFevniCXy3Vug6gwYMJM9AXKScIcHx8v2NjYCAAEPz8/tWXevn0r2NraCgCEPn36KJ1LT08XypQpIyZCmgwcOFBjwtyyZUuN9b777juNCawgGDZh9vHxEUf00tPT1ZZRJH2enp5qlxlTJMwA1CbVp0+fFs/fuXMny5jVuX79utjGkSNHVM7XrVtXsLS0FEd74+Pjlc6/e/dOMDc3FxYvXqz1GtW9n6pVq6Z25Fph7dq1ahPm9evXix82Pv2WQWH16tXiBzdNH5Cykvl3nNVDXcJ84MAB8XynTp2y3f+oUaM0ju4rZPX3Gh8fL3h6egoABHNzcyEiIkJrO1k9svv/hf379yvVP378eLbqExUGnMNMRNmyZcsWcW5xjx491JaxtbVF69atAXy8Iert27fiuaNHj+Lhw4cAgB9//FFjP+3bt4eDgwNMTEyUjm/YsAFBQUEa69WsWRMAcPbs2awvJgfCw8Nx+vRpAICvr6/SHNLMFK/RgwcPcOzYMY3tWVtbw9vbW+V45o007t+/r1esVatWRalSpQAAf/31l9K5ly9f4uLFi5gwYQIA4MOHDypxHjt2DO/fv8/W/FyFjIwMAMC5c+fUnu/YsSOOHz8OZ2dnpeO///47AKBGjRpKN7Rl1qJFC7GPnTt3Zju2T/322284fvy4ykOxCYc6mefZW1lZZbvPzHXU7dSX2fv37/Hq1Svx8eTJEwQHB6N+/fp48OABTExMsGHDBnz11Vda22nWrJna6zx+/Hi24weAtm3bokGDBuLPijndRJ8Tk6yLEBH9n1OnTonPa9SoobFcjRo1sHXrVnz48AHnz59Hq1atAAAhISFimerVq2us37x5c7x69UrluGL9V4Xk5GSkpKSIO6+Zm5sDAGJiYnS4Gv1l53VQCAkJQcuWLdWWK1u2rNp1e4sWLSo+zyqh0uaHH37A77//joMHDyqtyPDXX3/B2NgYw4cPx5YtW3D//n0cOHBA3L0PAA4ePIjy5ctnmYipU69ePdy4cQM7duxAeno6xo4dCy8vL/G8vb09mjRpolQnPj4e165dAwCUK1dO7fsA+L/fNQCDbMtdo0YNtas6aNs23sbGRnyekpKS7T4z11G3hFtm27dvx/bt21WOGxkZoVGjRpgzZw7q1KmTZZ8uLi4qr3lOREVF4cqVK+LPu3btwokTJwzaB1F+Y8JMRNmiWLJKsSqGJiVLllSp8+nzEiVK6BXDgQMH8Mcff+DChQtKo9eZpaam6tW2rjJfR+Zr/ZSm1+FT1tbWao9nXsM2PT1d6VxcXBzi4uLU1nN3d1canW/Tpg1+//13PH78GDdu3MC3334L4ONr2aBBA9ja2qJNmzZYsmQJDh8+jIyMDBgbG0Mul+Pw4cPo3bu3xti18ff3x9mzZ3Hr1i3s2bMHe/bsgYeHBzp06IDOnTur3ewkOjpa3Ho5KChI6zcKCi9evNArvpxydHQUn+vzgSbzCHXmttRp1qyZ0iYgEokENjY2+Oqrr5Q+WOW1wYMHQxAENGnSBCdOnADwccm8GzduiKtoEBV2TJiJKFsSExMBABYWFlrLZT6fOSlQ1NelDXUGDRqEP/74AxKJBL6+vmjatClcXV3F0dk///wTmzdvzna72aXrdWh6HT6laVc4bVasWIEZM2aoPRcVFaW0fFyjRo1QpEgRJCUl4eDBg/j222+RkpKC48ePizsZ/vDDD1iyZAni4uJw7tw5eHt7499//0VsbCzatm2b7fiAj98IXLp0Cb///jt+//13PHjwAFFRUViyZAmWLFmCr7/+GkuXLlUajcz82nbq1AkDBw7Msp+sRmdzwt3dXfwG41Nff/01TExMkJ6ejgcPHmS77czTbBTTiTQx9MiwOpquU5Pt27fj6NGjWLBgAfz8/FChQgW8efMGd+/exeLFi8WpPkSFHRNmIsoWxUhoViO4mc9nTmYyj6SmpqYqfaWdlf379+OPP/4AACxatAijR49WKaNprqyhfXodmmh6HfKaubk5mjZtin379uHgwYOYPHkyTpw4geTkZHFu8vfff4+iRYvi7du3OHDgALy9vXHw4EHY29vju+++07tvS0tLjBo1CqNGjcKlS5ewY8cOBAUF4cWLF7h16xaaN2+Oo0ePomnTpgCUX9tixYoV6K/2pVIpateujfPnzyM6Ohpv377VebRXLpfj5s2bAAA3NzeNc7ULqrdv32LEiBGoUaMGRo8eDWNjYyxatAj9+/cHAMyaNQs9evQQ588TFWa86Y+ItIqOjsbp06fFxM/T0xPAx7mXmqZDAMCzZ8/E55kTAUV9AHj+/Hm2Ytm1axeAj6Oxumw/nJt0vQ5Nr4Mh+Pv7Q/i42pHKQ93mJD/88AOAj/N9X758iQMHDqBy5crw8PAAAJiYmIg30ik2Szl48CBatWql8abG7KpduzYWL16Mx48fY9GiRZBIJJDL5ZgyZYpYxsPDQxxx/3QjlYLo559/BvBxdPbTmyq1+eeff/D69WsAwC+//JIrseWmcePG4fXr11i/fr34/ujbt69482pycjJGjBiRjxESGQ4TZiLSKjAwEA0bNhRvomvYsKF47urVqxrrKW7aMjMzUxqd1LX+yZMn0blzZ6XpFS9fvgQAODg4aJwGkfnrfHV03bY4K9l9HT6tkx9at24tJqgHDx7EX3/9pbLyheLn+/fv4/Dhw7h9+7Zeq2MoLF68WO3qIGZmZhgzZgw6d+4M4OOukQrW1tbi9ITLly+L85nVWbBgQb7vKtezZ0+UL18eALK1xbWirKOjI3799ddciU1fN2/exA8//ICTJ0+qPX/u3DmsW7cO48aNQ5UqVcTjEokE//vf/8QbMoODg7WuDkNUWDBhJqJs6dGjhzi1YOvWrWrLJCQkiCNtPXv2VJqK0Lx5c3GkVVN94GMysWfPHri4uIjHFM9jY2Px5s0btfUyJ6jqZF7GK/MWwiNHjkSFChW0btOcWcWKFcUEeMeOHeLyaZ9SXKOnpyeaNWumU9u5xdnZGbVq1QIAzJ07FzExMSpzk1u2bCneLDh06FCYmpqiefPmeve5cuVKrFu3TuN5xe/002kMim8QXr16hUOHDqmtm56ejk2bNkEikSit6pHXjI2NsWPHDlhZWeHixYviknjaHD58GDt37oSxsTG2bt2q8abP/PL69WscOnQIT548UTn34cMH/PzzzyhfvjymTZumcr58+fKYNGmS+PPQoUPx4cOHXI2XKLcxYSaibLGxscHy5csBfLzB7tO1W+VyOUaMGIH4+HgUL15cvKFMwcjICGvWrIGRkRFOnTqFwMBAlT52796Nffv2oW7dukrzVzt16iQ+nzhxosoNSrt371Zatk6dzEujZf66/++//8aTJ0+0rvzxqYCAAFhZWeH+/fuYNWuWyvnAwECEhITAyMgIa9eu1evGPkNTjBY/fPgQjo6OSku8AYCdnR3q1asnllGsoJETBw4cUFp2TOHNmzfi1I9PE96ePXuiUaNGAD4mXJmntgAf32djxozBnTt3MHjwYLi5ueUoxpyqUqUKtm/fDktLSwwdOhQrVqzQODK+fft2dO3aFSYmJvjf//5XoOdoq7NgwQLcu3cP69atU1raL7MJEyaIa4jfv38fixYtyssQiQyON/0RfSHOnz+P8+fPKx27fft2ll9lf1oHAHr37o3Xr19j3LhxaNWqFXr37o06deogMTER27dvx8WLF1GqVCkcPnxYZd1k4OOKDVu3boWfnx/69OmDw4cPo1GjRnj//j3OnTuHPXv2oEyZMiprzrZt2xZ+fn4IDAzE//73P9y6dQtt27aFlZUVzp8/jx07dsDT0xMPHjxAUlKSuOFEz549xTaqVKmCb775Bjdv3sSAAQPg6+uLc+fOITw8HL/88gtMTExw4cIFREZG4sKFC2I9RVvfffcdypQpA+DjKPOhQ4fQoUMHzJgxAxcuXEDbtm1hYmKCU6dOYefOnbCwsEBgYKDK+r7Hjx/HixcvxE1cXrx4gS1btkAqlaJ9+/ZKfSpcuHABJiYmKFu2rNrl2HTRpk0bTJ06FcDHKRrqkvg2bdogNDRUfK6JIj7Fkm4PHz5Uec2tra3x6NEj1KtXD927d0fVqlVRpEgRREVFYfPmzXj69Cm+++47lQ8cRkZGCA4ORvv27XH69Gl888036Nu3LypUqICYmBjs27cPV69eRdu2bbFw4cJsvw779u1DYmKi0u/4+PHjePr0KQDl37Ou2rRpgzNnzqBfv34YPnw4Vq5cifbt26NMmTIwNjbG48eP8ddff+G///5D2bJl8b///Q+NGzdW29aNGzdw48YNpWOZX19d3wOXLl3CmTNnlI7p8nf/6RKIDx8+xPnz55Gamoq5c+eiatWqiIqKQlRUlNLfV+ayjRo1wp07dwAAc+bMgYuLizhFK7uvLVG+y58NBokor02fPl3nrXHVPT7dulgQBOHmzZtCv379BHd3d8Hc3FywsbERatasKcydO1d49+5dljFFR0cLw4YNE8qXLy9YWVkJFhYWwtdffy1MmzZNZXvmzDZt2iTUr19fsLa2FkxNTYUSJUoInTt3Fs6ePav2OtX126lTJ8He3l4wNzcXypUrJ/j7+wupqamCIChvV/3pY+PGjSrtxcbGCpMmTRK++eYboUiRIoKlpaVQrlw5YejQoUJ0dLTaa1BsJ/3pw83NTSyjKQZ9tjTPrHTp0gIAYc+ePWrP37t3T+wrMjJSYzva3i8Kqampwvbt24UePXoIFSpUEKysrARjY2PBwcFBaNSokbBmzRohLS1NYx9yuVzYsmWL0KxZM8HR0VEwMTERihUrJjRr1kzYunWr3q+Bm5ub1vjV/Z51lZGRIezatUvo0aOH4OnpKUilUsHS0lJwd3cXOnbsKAQGBgofPnzQ2kZWf6+6vgfmzZuXo797xeugbQvxT2W13XhOXlui/CIRhGwuukhERERE9AXJ/wl1REREREQFGBNmIiIiIiItmDATEREREWnBhJmIiIiISAsmzEREREREWjBhJiIiIiLSghuX5BK5XI7nz5/D2toaEokkv8MhIiIiok8IgoB3796hRIkSWndjZcKcS54/f45SpUrldxhElIeKn7qe3yFQDr1oVC2/QyCifPDkyRO4urpqPM+EOZdYW1sD+PgLsLGxyedoCj+5XI7Y2Fg4Ojpq/QRIlJ/KXX2Y3yFQDsXHx+d3CEQa8d9Cw0tISECpUqXEvE0TJsy5RDENw8bGhgmzAcjlcqSmpsLGxob/kyCiXMP/X1NBxn8Lc09W02f5ahMRERERacGEmYiIiIhICybMRERERERaMGEmIiIiItKCCTMRERERkRZMmImIiIiItGDCTERERESkBddhJiKiL46tRIBUAny68mpqamq+xEOkC7lcjrS0NKSmpnId5k8YGRnB1NQ0y/WU9cWEmYiIvhhVjQX8YA6UMZXARM0/rFFRUfkQFZFuBEGAXC7Hu3fvci0xLMyMjY1hZWUFJycnmJmZGbRtJsxERPRFqGosYJhUguK2NjAqYg2JsYnKELOH1DJ/giPSgSAISE9Ph4mJCRPmTARBQEZGBlJSUhAfH4/o6Gi4urrCysrKYH0wYSYioi/CD+ZAcVsbGBcrrjHZsLCwyOOoiHTHhFk7qVQKe3t7PHr0CK9evULp0qUN1jYnwBAR0WfPViKgjKnk48gyEw2iz5axsTHs7e2RlJSE9PR0g7XLhJmIiD57UglgIpF8nIZBRJ81c3NzAGDCTERElB0SlSdE9LnKjW+RmDAbWEBAACpVqoRatWrldyhEREREZABMmA1syJAhCA8Px+XLl/M7FCIiIiIyACbMRERERERaMGEmIiIiItKCtwsTERH9f+4TDuV3CNkSPb91rrQbFxeHFStW4NChQ4iIiEBKSgocHBzg4uKCypUro379+vD29kaFChUAAH5+fti0aZNSG4GBgejdu7dO/VWvXh3Xr18Xf3Zzc0N0dDQAwMfHB6GhoRrrGhkZwd7eHl5eXhgxYgSaNGmiUkbTTWAbN26En5+fUsx9+vRRW1YQBB2uhD5XHGEmIiIiUXh4OCpXrowlS5agTZs2OHHiBCIjI3Hq1CmMGDECV65cwcCBA9G5c2exzvLlyyGTyTB69Gjx2OzZs5GRkZFlfwcOHBCT5bp160ImkyndBxQcHAyZTIa6desCAEaPHg2ZTAaZTIbnz5/j0qVLGDp0KE6cOIGmTZti9erVKn0oyivs2bMHMpkMvr6+SuV8fX0hk8mwbNkyAICrq6tKXfoycYSZiIiIRAMGDEBMTAy2b9+uklBWrFgRzZo1Q7Vq1ZSO29rawtbWFlKpFNbW1khNTcWDBw8QFBSEn376SWt/s2bNgr29PeLi4mBmZgZnZ2el8/b29gAAMzMzAB93c8tcxsXFBTVq1ICRkRGmTp2KsWPHonv37rCzsxPLqGvz02MAYGlpCUtLS9ja2gL4uAmGunL05eEIMxEREQEA4uPjcf78eQBAy5Yt1ZZxdnZWSaQzs7e3F6diZDXKfPjwYURGRipNi9BX8+bNAQDJycniNRAZChNmIiIiAgDI5XLx+bNnzzSWmzp1Kvbs2aPx/OTJk2Fqaor79+8jKChIY7mZM2di+PDhsLa21i/gTExNTcXnKSkpOW6PKDMmzERERAQAsLOzQ4kSJQAAgwYNwosXL9SWc3BwQPny5TW24+7unuUo87Fjx3Dnzh0MGzbMAJEDZ86cEZ8rbkYkMhQmzERERCSaNm0aACA0NBQeHh7o2bMngoOD8e7du2y1k3mUeevWrSrnZ82ahV9//VVprrE+EhISEBQUJMbdvn17fP311zlqk+hTTJiJiIhI9MsvvyAgIAD29vZISUlBUFAQOnXqBAcHBzRq1AirV69GQkJClu1oG2U+efIkwsLCMHLkyGzHN3fuXEilUkilUhQpUgS2trbo2bMnihYtiilTpmD79u1ZttGyZUuxDXWPgQMHZjsu+rwxYSYiIiIlgwcPxpMnT7BlyxZ07twZRYsWRVpaGkJCQjBkyBCULVsWBw8ezLIdxShzREQEtm3bJh6fOXMmBg0ahGLFimU7toEDByIsLAxhYWE4deoU+vbtCysrK/Tq1Qv+/v4wNzfPso1169aJbah7zJw5M9tx0eeNy8oRERGRCisrK/To0QM9evRARkYG/vnnH2zfvh2bNm3Cq1ev0K1bN4SHh8PNzU1jG+7u7vjpp5+wfv16zJ49G927d8fZs2dx+fJl7Ny5U6+47O3t4enpCQDw9PSEl5cXXr58idmzZyM9PR3z5s3Lso2SJUuKbajj5OSkV2z0+eIIMxEREWllbGyMBg0aYPXq1bh58ybs7OyQnJysNGqsiWKU+d69e9i2bRtmzpyJAQMGoHjx4gaLb8GCBZBIJFi8eLG4QyCRITFhJiIiItHcuXNx8eJFjefLlCmDbt26AYBOyamHh4e4ecnIkSNx/vx5jBs3ziCxKlSqVAnt2rVDWloa5s6da9C2iQAmzERERJTJmjVrcPjwYa1lLCwsAACOjo46takYZX716hX69OmDkiVL5jjOT02cOBEAEBgYiEePHhm8ffqyMWEmIiIiJX/++Sfi4+PVnktMTMTevXshkUjQoUMHndrz8PDAjBkz0K5dO0yYMMGQoYpq166Nhg0bIi0tTad5zETZwZv+iIiISCSRSBAdHY06depg3Lhx8PLygo2NDV6+fIkrV65gyZIliI6OxowZM1C9enUAH5NoxSMjIwMxMTEAPm6jraAYAc4scz0A+PDhA2JiYmBsbCyOXsfFxeHDhw/48OGDWCcmJgZmZmawt7dXam/ixIkICQnBxo0bMXjwYDg5OcHe3h5xcXFK5eLi4hATEwNbW1tYWlqKx1NSUhAfHy9+WNB0LfTlkQiCIOR3EJ+jhIQE2NraIj4+HjY2NvkdTqEnl8vx8uVLODk5wciIX4xQweQcEpbfIZAGrkYC5toYwalUaUjMNC871m5uSB5GlXPR81sbvE2ZTIYDBw4gNDQUN27cwJMnT5CYmAgLCwu4urqiTp06+Pnnn1GvXj2xjr+/P2bMmKHSVlYphqZ6bm5u4vxoHx8fhIaGqpTx9vbG6dOnVY7XrFkTV69eFX8+fvw4mjZtqrb/jRs3ws/PT/w5MDAQffr0UVu2IKRLgiAgPT0dJiYmkEgk+R1OgZWamoqoqCh4eHiI04c00TVfY8KcS5gwGxYTZioMmDAXXLomzFVsrPIwKqLsYcKsm9xImJl5EBERERFpwYSZiIiIiEgLJsxERERERFowYSYiIiIi0oIJMxERERGRFkyYiYiIiIi0YMJMRERERKQFE2YiIiIiIi2YMBMRERERacGEmYiIiIhICybMRERERERaMGEmIiIiItKCCTMRERERkRZMmImIiIiItGDCTERERESkBRNmIiIiIiItTPI7ACIiogLD3za/I8ge/3iDNeXj44PQ0FCV471790ZgYKDGeoIgoHXr1oiIiMC5c+fg7OwsnpNIJGrrbNy4EX5+fjkNmSjPcISZiIiIEBwcDJlMhrp16wIARo8eDZlMhuXLl2ut9+rVKxw5cgSRkZE4d+6c0jmZTAaZTCb+vGfPHshkMvj6+hr+AohyEUeYiYiICPb29gAAMzMzAIBUKlUaLdbE0dERv/76K+7fv48mTZoonfu0vr29vU5tEhU0TJiJiIgoR1auXJnfIRDlKk7JICIiIr34+/tDIpGID21znYkKMybMREREpJcxY8ZAJpOha9eu+R0KUa7ilAwiIiLSi1QqhVQqhaWlZX6HQpSrOMJMRERERKQFE2YiIiIiIi2YMBMRERERacGEmYiIiIhICybMRERElC2CICA1NRVyuTy/QyHKE0yYiYiIKFsePXoES0tLnDlzJr9DIcoTTJiJiIiIiLTgOsxERESEqKgoJCUlISkpCQDw8uVL3Lp1S23Z58+fAwASExMRExODlJQUAEB8fDxiYmJgb28PMzMzxMTEKNWLi4tDTEwMbG1tuXYzFSoSQRCE/A7ic5SQkABbW1vEx8fDxsYmv8Mp9ORyOV6+fAknJycYGfGLESqYnEPC8jsE0sDVSMBcGyM4lSoNiZm5xnJVlrjkYVQG4B9vsKZ8fHwQGhqarTre3t5q64SEhMDHxwcSiURtvY0bN8LPz0+fML9ogiAgPT0dJiYmGl9bAlJTUxEVFQUPDw9YWFhoLatrvsYRZiIiIgUDJqCFzenTpw3eJsfk6HPBoToiIiIiIi2YMKuRkZGBZcuWoVatWqhatSrc3NzQqlUrRERE5HdoRERERJTHOCVDjUGDBuHFixc4deoUrK2t8eLFC9SqVQsPHz5EuXLl8js8IiIiIspDTJg/cebMGQQGBuLZs2ewtrYGABQvXhx79uxB6dKl8zk6IiIiIsprhW5Kxvnz51G+fHlIJBJER0cbvP0NGzagRo0acHR0VDpeq1YtFC9e3OD9EREREVHBVmgS5pSUFIwePRoNGjTI9lzio0ePomnTprC3t0eRIkVQvXp1rFq1Su2Wnv/++y9Kly6NVatWoXbt2ihXrhzatGmDq1evGupSiIiIiKgQKRQJc2RkJKpWrYo9e/bgyJEj2aq7YMECtGzZEhYWFjh+/DiuX7+Opk2bYujQoWjfvj3S09OVyj958gSHDh1CSEgIQkJCcPPmTbi6uqJBgwa5MqJNRERERAVboUiYb9++jcaNG+PWrVto2rSpzvXOnj2LCRMmoFKlSggODkaNGjVQrlw5LFiwAAMGDMDBgwexYMECpTqpqalISkrCihUrUKRIEZibm2PRokUwMjLCnDlzDH1pRERERFTAFYqEuXXr1li9ejWkUmm26vn7+wMAhg4dClNTU6Vzo0ePBgAsXLhQ3NITAKytreHg4ICSJUuKx6RSKTw9PfHff//peQVEREREVFgVioTZ2Ng423ViY2PFXYsaN26scr58+fJwdXVFQkKC0jSP8uXLq53bbGxsjMTExGzHQURERESFW6FImPVx5coVyOVymJqaomzZsmrLVKhQAQBw+fJl8Vjr1q3x5s0bPH/+XDz2/v17PHjwADVq1MjdoImIiIiowPls12GOjIwEADg6OsLISP3nAhcXF6WywMfpG2vWrMHEiROxceNGGBkZYfbs2UhLS8OECRM09vf+/Xu8f/9e/DkhIQEAIJfL1Y5YU/bI5XIIgsDXkohylSAI+R0CkVaK9yjfq5oJgiDmDFnlDbrmFZ9twqxIWC0tLTWWsbKyAgDEx8eLx+zs7HD69GmMHDkSHh4eMDExQdmyZXHmzBlUrlxZY1vz5s3DjBkzVI7HxsYiNTVV38ug/08ulyM+Ph6CIGj8AERElFOfrpxEVJAIgoCMjAwAgEQiyedoCq709HTI5XK8fv1a5R62T717906nNj/bhDknPD09cfDgwWzVmThxIkaNGiX+nJCQgFKlSsHR0RE2NjaGDvGLI5fLIZFItH5jQJTv7sTkdwSUQyYm/GeRCr6sksAvnYmJCYyMjODg4AALCwutZbM6L7ZpiMAKIkWSmnkFjE8lJycDAGxtbXPcn7m5OczNzVWOGxkZMcEzEIlEwteTiHIVR+2oIBMEQXyP8r2qmUQi0Tln0DWn+GwzD8WNfrGxsRrnp8hkMqWyRERERESf+mxHmGvUqAEjIyOkpaUhMjISX331lUqZu3fvAgBq1aqV1+EREVEB9M2mb/I7hGy52ftmfodA9EX4bEeYnZyc4O3tDQA4efKkyvl79+7h6dOnsLa2RosWLfI6PCIiogKlatWq4lfZmR9GRkYoWrQoPD090bVrV6xdu1ac0qiLnTt3QiKRiEu56koQBAQHB6N79+7w8PBAkSJFYGlpCTc3N7Rs2RJz587F9evXs3uZRHr5bBNmAJg+fToAYNWqVSp3Pi9evBgAMHbsWHG1DCIioi/VyZMnIZPJULduXQAfd8SVyWR4+vQp/vnnH8yZMwfGxsYYOHAgXF1dsWXLFp3aXbduHYCPA1X//POPTnUePXoELy8vdO/eHc7Ozvjzzz8RHh6Of//9F8uXL4exsTEmT56M6tWrZzsRJ9JHoUmYY2NjERMTg5iYGK3HMvP29sacOXNw+/ZtdOjQAdeuXUNERAQmTJiAtWvXolWrVpg4cWJeXQIREVGB5eDgAGdnZ5iZmQEApFIpnJ2dUaJECVSuXBm+vr7Ytm0bLly4AHNzc/Tq1UvtcqqZPXr0CCdPnkSxYsUAAOvXr88yDkWyfOfOHYSGhmLp0qX4/vvv4ebmhipVqqB9+/b466+/sGnTJgAfE3Gi3FZoEuZatWrBxcVF3GwEAGrXrq1y7FOTJk3C4cOHkZKSgkaNGqFatWo4duwYli9fjgMHDnAJISIiomyoXbs29u3bBxMTE/j7++Pw4cMay27YsAGVKlXCtGnTAHycnqFt3VtBENC1a1e8ePECM2fORJ06dTSW/emnn9C2bVv9L4QoGwpNwhwdHS3u3KLuoU3Lli1x4sQJvH37FklJSbh+/TqGDRsGY2PjPIqeiIjo8+Hl5YXOnTsDgMZdcOVyOQIDA9GvXz/07NkTFhYWSEpKwo4dOzS2u3//fly6dAlWVlYYMGBAlnH0798fbm5u+l0EUTYUmoS5sAgICEClSpW48gYREX3WunXrBgC4efOm2mkRf//9N168eIFevXrBzs4OnTp1AvBx1FkTRTLt5eUFqVSaZQxt2rRBdHS0HtETZQ8TZgMbMmQIwsPDcfny5fwOhYiIKNfUqFFDfH7x4kWV8+vXr0eHDh3g4OAA4ONoMABcuHABd+7cUdvmv//+CwC8kY8KHCbMRERElG2KG/kA4MWLF0rnYmNjceDAATFJBgAfHx94enoC0Hzzn6KdokWLGjhaopxhwkxERETZlvn+oU+3ad68eTNcXV3RqFEjpeOKBHrz5s1IS0tTaZPbPVNBxYSZiIiIsi02NlZ87uTkpHRu/fr16Nevn0oC7OfnBxMTE7x8+RJ//fWXSpvFixcHALx9+9bwARPlABNmIiIiyrYrV66IzxWbnQDA+fPnER4ejlmzZkEqlSo9ypYti4yMDADqp2Uo2rl7924uR0+UPUyYiYiIKNu2bdsGAPj222/x1VdficfXr1+Pli1b4ubNmwgLC1N5KHb+O3r0KJ4/f67Upq+vL4CPNxEmJSVlGcPZs2cRGBiIBw8eGOqyiNRiwkxERETZcu7cOezduxcAMG/ePPF4YmIidu7ciX79+sHT01Pto1evXrC3t0dGRgYCAwOV2m3bti2+++47JCcnY+3atVpjSEpKQocOHTBw4EBYWloa/BqJMmPCTERERDq7cOECOnXqhIyMDMyYMQOtWrUSz23fvh1mZmZo06aNxvqmpqbiSPLGjRtVzu/cuRMlS5bE1KlTxWXmPpWRkYH+/fvj9evX8Pf3R8mSJXN4VUTaMWEmIiIivH79GjExMfjw4QOAj6PFMTExeP78OcLDw7Fz5074+vqifv36SEtLw59//ilueZ2SkoKYmBisW7cOLVu2RFxcnNjOp2JjY9GsWTMAwIMHD3Dw4EHExMSI50uWLInz58+jUqVK8Pb2xsiRI3H27Fk8evQIN27cwJYtW1CnTh3s2LEDkydP1rjTIJEhSYSs9pUmvSQkJMDW1hbx8fGwsbHJ73AKPblcjpcvX8LJyQlGRvycRwWTc0hYfodAGrgaCZhrYwSnUqUhMTPXWK6KjVUeRlWwVK1aFf/995/KcYlEAqlUimLFiqFGjRpo1qwZfvzxRxQpUkQsExgYiD59+ijVCwkJgY+Pj0p77u7uePTokcrxT9MRQRAQHByMbdu24eLFi3j58iVMTExQunRp+Pj4YODAgahSpYqeV1s4CYKA9PR0mJiYcAk+LVJTUxEVFQUPDw9YWFhoLatrvsaE2cACAgIQEBCAjIwMREREMGE2ECbMVBgwYS64mDDT54AJs25yI2Fm5mFg3BqbiIiI6PPChJmIiIiISAsmzEREREREWjBhJiIiIiLSggkzEREREZEWTJiJiIiIiLRgwkxEREREpAUTZiIiIiIiLZgwExERERFpwYSZiIiIiEgLJsxERERERFowYTawgIAAVKpUCbVq1crvUIiIiIjIAJgwG9iQIUMQHh6Oy5cv53coRERERGQATJiJiIiIiLRgwkxEREREpAUTZiIiIqL/7+jRo5BIJOLDz88vv0MCADx9+hRGRkYwMzODkZERfHx88jukL4pJfgdARERUUNypUDG/Q8iWinfvGKwtHx8fhIaGajxvaWmJMmXK4IcffsDYsWPh4OCgdD4uLg4rVqzAoUOHEBERgZSUFDg4OMDFxQWVK1dG/fr14e3tjQoVKoh1/P39MWPGDJW+3NzcEB0drXTM3d0djx49Uik7ffp0+Pv7Z+9itWjUqBFkMhl27NiBESNGqC1z4sQJdO3aFWPHjsXEiRMN1rc2JUqUwPPnz3H27Fn4+vrmSZ/0fzjCTERERAgODoZMJkPdunUBAKNHj4ZMJoNMJkN0dDT2798PZ2dnLFiwAN9++y3u378v1g0PD0flypWxZMkStGnTBidOnEBkZCROnTqFESNG4MqVKxg4cCA6d+6s1OeYMWMgk8kwevRoAEDdunUhk8nU3jh/+fJlyGQyuLq6AgCWLVsGmUyGMWPGGPR1MDMzg7OzM2xtbTWW2bt3L968eYOgoCCD9q2NkZERnJ2dYW9vn2d90v/hCDMRERGJiZiZmRkAQCqVwtnZWTzv5uaGxo0bw8vLC1euXEGfPn1w7tw5AMCAAQMQExOD7du3q4x+VqxYEc2aNUO1atVU+pRKpeJD0XfmPjNzdHQEABgbGwMAbG1tNZbNbX379sXVq1fxyy+/5Ev/lPc4wkxEREQ6MTIyQv/+/QEA//zzD548eYL4+HicP38eANCyZUu19ZydnT+raQQ1atTAv//+iz59+uR3KJRHmDATERGRzkqXLi0+f/r0KeRyufjzs2fPNNabOnUq9uzZk6ux6SM4OBh169ZFkSJFYGdnh+bNm4sfANTJfEOgu7u7yvm4uDhMnToVX3/9NaytrSGVSlGzZk1MmzYNt2/fVtvm0aNH0apVKxQrVkwcZW/RogVWrFiBN2/eaIzl7du3GDhwIJydnWFubo7KlStj06ZNass+efIEixYtgre3N0qWLAkzMzOULFkS3bt3x82bN1XK9+/fX+laT58+jSNHjsDb2xu2trZKxxWio6PRs2dPODk5wcLCAuXKlcPUqVORnJys9XUTBAGbNm1C/fr1YWtrCysrK1SqVAkTJ07Uev15iQkzERER6ez58+fi82LFisHOzg4lSpQAAAwaNAgvXrxQW8/BwQHly5fPkxh1tWDBAnTq1AmJiYnYt28f/vvvP4wZMwbDhg1DSEiI2joymQyXLl1Sey4pKQl16tTB//73P0yZMgXXr1/HxYsX8eOPP2LRokVo3bq1Sp2JEyeKI/MHDhzAvXv3EBgYiDdv3mD48OHo27ev2r5SU1PRqVMneHt7499//8XBgweRkpICPz8/7Nu3T6X8nDlzMGHCBPj4+ODYsWO4e/cu1q1bh8ePH6N27doqN3wuWbJEaU77jh078Ntvv2HOnDkICwvDrFmzlMqHh4ejZs2a2L17NyZNmoTw8HDs2bMHcXFxStf96Rx1uVwOX19f+Pn5wcPDA8eOHcPly5fRp08fLFmyBLVq1dL6QSyvcA4zERER6Wznzp0AgEqVKuGrr74CAEybNg0DBw5EaGgoPDw80LFjR3Ts2BFNmzaFtbV1foar0fXr1zF58mQUKVIEf//9N1xcXAB8HEH/5ptv4OHhobaes7MzUlNT1Z7btWsX7t+/j0WLFqFbt27i8cqVKyMlJQVr165VKr9z507Mnz8fVapUwf79+2FqagoA8PDwgJeXFypWrAhBENT2dfHiRQQFBaF79+4APq4isnz5crRt2xarVq1C+/btlco7ODhg9OjRSquSlClTBt9//z1Kly6NIUOG4NatW+I5Gxsb2NjYiHPaDx48iAcPHsDCwgIAMGXKFGzevFk836tXL7x+/RrLly/HsGHDxHYCAgKUYvl03vnChQuxa9cutGjRAps3b1Z6zczNzTF8+HAMHDgQBw8eVPs65BWOMBMREZFWgiAgOjoaP//8M/7++29YWVlh3bp14vlffvkFAQEBsLe3R0pKCoKCgtCpUyc4ODigUaNGWL16NRISErLs5+zZs0o3Aqp7PH782CDXtGrVKmRkZKB9+/Zisqzg7OyssqKHLmJjYwFAbYw9e/bEzJkzlY7Nnj0bwMeReUWyrGBnZ4du3bqhSJEiavuytrZGly5dlI55eXkBAMLCwlTKz5kzBwsXLlQ5LpVKUblyZdy+fVvtsn0KAwYMEJNlhXv37uG7777D2bNnce3aNZiZmaFfv34qdYcOHaq2zQ8fPmDRokUAgJEjR6rt08jICIcOHVJZZjCvMWEmIiIiFXPnzhWTVAsLC3h4eGDr1q3o3Lkzrl69Kn5VrzB48GA8efIEW7ZsQefOnVG0aFGkpaUhJCQEQ4YMQdmyZbMcJaxZsybCwsK0PhTTP3JKMQWhRo0aas9XrJj9NbkbNmwIiUSCVatW4ccff8SZM2fEOd5ubm746aefxLIymUycO1yrVi217S1btkzj0nWlS5dWSbIVK51omve7Z88e/PDDDyhVqhRsbGzE369izra2qQ/aXg/Fa1mhQgW1Cb6mulevXkVcXByAj7/7T1laWsLFxQWCIGidV54XOCWDiIiIVAwcOFD8al0ikcDCwgLOzs7ism7qWFlZoUePHujRowcyMjLwzz//YPv27di0aRNevXqFbt26ITw8HG5ubmrrW1pawtPTU2tcJiaGSV2ePn0K4P+Wq/uUPkvW1axZE3/++SdGjBiBbdu2Ydu2bXB0dES7du0wYMAA1K5dWyybeRRaUwzafLpxDPB/r03mGzEVfv31VwQEBKBixYr47bffULlyZXHEuEePHrh06RI+fPigsT9tMer7WmZ+DTLfTJpZSkoKAO3JfF5gwmxgAQEBCAgIQEZGRn6HQkREpDd7e/ssk1dtjI2N0aBBAzRo0ABjxoxBzZo18ebNG2zbtg0TJkwwYKQ5o2mOsL569uyJLl26YO/evdi5cyeOHDmCdevWYd26dRg+fDiWLVtmkH4kEonOZa9cuYKAgACYmZnhyJEjKh9YLC0tDdKfvq+lsbGx2mkkman7gJCXOCXDwIYMGYLw8HC1uxQRERF9jubOnYuLFy9qPF+mTBnxJrj8nouqoNgxUDHv+FMxMTF6t21ubo5u3bohODgYL168wPz582FiYoLly5fj+PHjAJRHVDXFYCiKKRPly5fXOLqfE/q+lopYMjIy4OjoCE9PT40POzs7g8edHUyYiYiIKEfWrFmDw4cPay2j+Ppfn+kHucHb2xvAx3m06ty5cyfbbe7btw+rVq1SOmZjY4Px48ejd+/eAD6uzgEALi4u+OabbwBA4zJ1s2fPRpcuXXI8Cq5uikZmOZ3uoHgt7927h8TERJXzml7LGjVqiCPHml6DXbt2oWrVqnjw4EGOYswpJsxERESUY3/++Sfi4+PVnktMTMTevXshkUjQoUOHPI5MvV9//RVGRkbYv38/ZDKZ0rmYmBjs3r07222GhYVhyZIlaucCp6WlAVAeWZ4yZQoA4I8//kB6erpSeZlMht9++w1OTk7Zmn6hjmLu9N27d/Hw4UOlc9euXUNkZGSO2v/+++9RvXp1fPjwARs2bFA5v3LlSrX1TE1NMW7cOAAf133+9INBSkoKZs2aBRMTkxxNDzIEJsxERESEuLg4xMTEiMleYmIiYmJidJqaIJFIEB0djTp16mDjxo0IDw/H06dPce3aNaxZswY1a9ZEdHQ0/P39Ub16dbGeog/FqOSHDx8QExOj9qv92NhYxMTEiPcIxcfHK9XNrmrVqmHu3LlISkpC8+bNcfz4cTx+/BgnTpxAixYtxCXaUlJSlPrJHF9GRgZiYmLElR4AICoqCu3atcOpU6cQHR2NmzdvYtasWdiyZQu8vLzQsWNHsWzXrl0xfvx4/Pfff2jfvj3+/fdfREdH4+DBg2jWrBlcXFwwZ84csXzmvhSvlSIuxe9PXVlvb2+0atUKaWlpaNOmDY4cOYLIyEjs2bMH7du3F1fbyNyG4nejeD8ozmn6ULR582Y4ODhg/PjxWL58OR4+fIhbt27h119/FVfvUGfMmDHo3r07jh49Cl9fX1y8eBGPHj3CsWPH0KRJE8hkMo0rheQliWDo2e4EAEhISICtrS3i4+NhY2OT3+EUenK5HC9fvoSTkxOMjPg5jwom55Cw/A6BNHA1EjDXxghOpUpDYmausVwVG6s8jKpg8fHxUdntTSGrVEEmk+HAgQMIDQ3FjRs38OTJEyQmJsLCwgKurq6oU6cOfv75Z9SrV0+pnr+/v9JGGgpubm4qc53d3d3VrhM8ffp0+Pv7a784Lfbs2YNFixbhxo0bMDExwbfffotRo0YhISEBffr0EcuNHz8e8+fPVzva6+3tjdOnTyM+Ph779u3Dnj17cPXqVbx8+RJFixaFh4cHevXqhf79+6u9we7IkSNYsWIFLl26hOTkZLi7u6Ndu3YYN26cUrKprm/F9av7/SniAoD3799j7ty5CAoKwqNHj2BlZYUqVapg+PDhWLlypVJdQRA0/m569+6NwMBAta9lVFQUpkyZgmPHjiExMREeHh7o27cvRo4cCVNTU0gkErXTQwRBwNatW7F27VqEhYUhLS0NpUuXRrNmzTBu3DiULFlSbX+apKamIioqCh4eHiprR39K13yNCXMuYcJsWEyYqTBgwlxwMWGmz4EgCEhPT4eJiUmOp2nkpXfv3sHGxgZ2dnZKo/G5JTcSZmYeRERERJQj586dw9GjR9WeCw8PBwBUqVIlL0MyKCbMRERERJQjJ06cwPDhw8WbGzNbs2YNAChNcSlsmDATERERUY5FRESgY8eOOHv2LB4/foxr165hyJAh2LBhA7p164ZevXrld4h6405/REREVKidPXsWLVu21Kmsm5sbbt++ncsRfXn69u0LMzMzHD58GN27d0dsbCwsLCzw7bffYv369ejTp0+hmnf9KSbMREREVKjVrFkzy62VFRRLqJFhlS5dGpMmTcKkSZPyO5RcwYSZiIiICjVLS8t839iCPm+cw0xEREREpAUTZiIiIiIiLZgwExERERFpwYSZiIiIiEgLJswGFhAQgEqVKqFWrVr5HQoRERERGQATZgMbMmQIwsPDcfny5fwOhYiIiIgMgAkzEREREZEWeifMZ86cQXp6uiFjISIiIiIqcPROmBs2bIg3b94YMhYiIiIiogJH74RZEAT88MMP2LBhA5KTkw0ZExEREZFe7t69iy5duqB06dKwsLBA6dKl4evri0ePHgEAnj59in79+qFMmTKwsLBAyZIl0bZtW5231qYvU462xq5evTomT56MkSNHwtfXFz///DNq1qxpqNiIiIjyVMDAU/kdQrYM+aNRrvchk8lQqlQpCIKAx48fo2TJkjrVu3btGtasWYPQ0FA8e/YMaWlpcHJyQu3atdG5c2d06dIFRkaGvZXq5cuX+P7772FiYoLAwECUK1cO+/fvx8iRIzFo0CAUL14cjRs3xrNnz7Bx40bUrFkTFy5cQO/evdGxY0dUrVo1W/0lJydj9erV2Lt3L+7cuYN3797Bzs4OLi4uKF++POrXr4/69eujevXqYh1/f3/MmDFDqR1/f39Mnz5dpz47d+6MAwcOKB0TBAEA4Ofnh02bNmmsK5FIULRoUVStWhUDBw5E165ddb3UL16O3qkzZszAkydPsHHjRjx79gx16tRB1apVsXr1asTHxxsqRiIiIsonGzduREZGBuRyOQIDA7Msn5qaigEDBqBGjRp48uQJ5s6diytXruDOnTsIDAyEo6MjevbsiRo1auDhw4cGjTUoKAivXr1C//790bx5c3h4eGDEiBEYPnw4XFxccOTIEURERKBDhw7o0qULPDw88OOPP2LatGkoV65ctvqSyWSoXr06Jk6ciO+++w6HDh3CgwcP8M8//2Dq1Kl4/Pgxhg8fjgYNGijVGzNmDGQyGZYtWyYeW7ZsmU5503///YeDBw8CAFxdXSGTySCTycTzy5cvh0wmExPhrl27imVkMhmuX78Of39/XL9+Hb6+vhg3bly2rvlLpnfCHBUVBUdHR5iYmKBjx444dOgQoqOj0bFjRyxatAglSpSAn58fzp07Z8h4iYiIKI8IgoANGzagWLFiAIANGzaIo5nqpKeno0OHDli3bh0WLVqEQ4cOoUOHDihXrhzc3d3RsGFDrF69GidOnEBERAS8vLwMmjRHREQAANzc3JSOL1u2DOXLl9d4furUqfjuu++y1deYMWNw7949zJ49G4sWLULdunXh5uaGr776Cp07d8bJkydRuXJllXpSqRTOzs6wtbUFANjb2+Pt27dYvnx5ln3Onj0bdnZ2AABjY2M4OzvD2dlZPG9rawtnZ2dYWloCACwtLcUyzs7OqFKlCoYNG4aVK1cCAH777TfcvXs3W9f9pdI7YXZzc4NEIlE65urqimnTpuHhw4cIDAzE/v374e3tjYoVK2LJkiV49epVjgMmIiKivHH69Gk8evQIW7duBQA8fPgQp0+f1lh+xowZOHr0KFq1aoUxY8ZoLOft7Y3p06fj1atX6Nq1q9YkPDtSUlIAACYm6mecZnU+O44cOQIAaNmypdrzRYoUQf/+/bNsZ9SoUQCyHmW+ffs2Dh48iEGDBukRrbLmzZsD+PiB6OTJkzlu70tg8HWY//nnH/Tp0wd9+vRBfHw8BEFATEwM/vjjD7i6uqJ79+64deuWobslIiIiA1u/fj1at26Npk2bonbt2uIxdV6+fInFixcDAEaOHJll2wMHDoSFhQWuXr2KvXv3qpxPTk7GvHnzUK1aNRQpUgRSqRQ1atTAb7/9htTUVKWy/v7+kEgk4vzdPn36QCKRQCKRwM/PD4GBgZBIJOLc4RkzZojnfXx8dH49MsvIyAAAPHv2TGOZfv364cKFC1rbGTZsGOzt7fHmzRuto8yzZs3Cjz/+CA8PD73izczU1FR8rvgQQdrpnTAbGxvj5cuXAIBXr15h8eLFqFSpEho0aIA///wTycnJ+P7777Fp0ybIZDJERETgxIkTMDExQe3atbFz506DXQQREREZ1tu3b7Fnzx4MGDAAAMT/BgcHqx0JPXDgAFJSUmBmZgZvb+8s27exsYGXlxcAYPfu3UrnXr58ibp162LatGno0qULrl+/jitXruCHH37A+PHj0aBBA7x9+1Ysr5gXrJi7u2zZMnHe7vLly+Hr6wuZTIbRo0cDAEaPHi2eDw4Ozv6LA+Drr78GAIwdOxaRkZFqy1hbW+Obb77R2o61tbXSKHNCQoJKmTt37iA4OBgTJ07UK9ZPnTlzRnxeoUIFg7T5ucvRsnLHjx9H165d4erqinHjxuHu3btwdHTEmDFjcPfuXYSGhqJXr16wsLAAANSvXx+bN2/Gpk2bMGXKFINdBBERERlWUFAQihUrhhYtWgAAunXrBqlUipSUFHGKRmbnz58HAJQtW1ZpBFObihUrAgD+/fdfpeN+fn64ceMGZs2ahUmTJqFcuXKoUKECZsyYgYkTJ+Ly5cv4+eefxfKKecGKubuKubyKucKKubxSqVSpvLOzM+zt7bP5ynw0bdo0AB+nSlSoUAHt27fHli1b9Jp+mtUo8+zZs9GlSxd89dVXesWqkJSUhL/++gtDhgwBANSoUUPjlBJSlqMpGT/99BN2796N9PR0NG/eHLt378bTp0+xcOFCrXebVqlSBY8fP85J10RERJSL1q9fDz8/PxgbGwP4mGT6+vqK5z714sULAEDRokV17kNRVlEX+Lgc3ZEjR2BqaorBgwer1Bk+fDiMjIywa9cu3LlzR+e+DK158+bYtWsXSpYsifT0dOzfvx+9evVC8eLFUbduXSxatAixsbE6tZV5lHnp0qVKo8wRERHYtWsXJk+enO0Yg4KCIJVKlR5t2rRBeno6hgwZgpMnT4q/X9IuRwlzqVKlMH36dERFReHw4cPo2LFjlhPpjx8/jh9//BEODg456ZqIiIhyybVr1xAWFoZ+/fopHVdMy7h69Spu3LihdC4nN+7J5XLx+d9//w0AKF++PGxsbFTKOjo6wt3dXalsfuncuTOioqIQHByMXr16wcnJCXK5HP/++y/GjRsHDw8PrFu3Tqe2Mo8yr1ixQjw+Z84ctGvXDpUqVcp2fIoNWcLCwnDmzBmMHz8epqam6NChAxYuXCiu1EFZy9FtopcuXYKTk1O26iQnJ6Nu3bo5/lqBiIiIcse6devQpEkTMTFV8PLywjfffIObN29i/fr1StMHFPlA5rnFWVGUzbw0mmJHPm35RfHixfHw4UOxbH5SJKAdOnSAIAi4evUqduzYgfXr1+PNmzf45Zdf8O2334o3TWpibW2NkSNHYurUqVi6dCmGDRuG2NhYbN26FVeuXNErNmtra3h6eoo/V69eHUlJSVi1ahXevHmDbdu26dXul0jvEeaNGzfq9cmkXbt2WLlyJYYNG6Zv10RERJRLFHOUT58+rfJ1vlQqFadBbNmyBe/fvxfrKW7gi4yMRFpamk59KdrKKpksLCQSCWrWrIlFixYhIiICZcuWhVwux4YNG3SqrxhljouLw4oVKzBnzhy0atUKVapUMViM06dPR5EiRbB9+3b8888/Bmv3c6d3wty7d29ERETgxo0buH37tsr5v/76CzExMTkKjoiIiPLW7t27YWpqilu3bolf52d+XL58GaampoiLi8O+ffvEem3btoWZmRk+fPigtAqDJgkJCbh06RIAoHv37uJxxaYimec1f0px7tMNSPLS77//jqNHj2o8X6xYMfHGxOjoaJ3atLGxEZfkW7x4MbZs2WLwRRKKFSsmTq35dItu0kzvhPncuXOoWrUqqlWrprLtI/Bxe0Y3NzesXbs2RwESERFR3lm3bh26deuGcuXKwdPTU+VRtWpVceOLzDf/lSxZEgMHDgQApW2fNfnf//6HlJQU1K5dG23bthWPN2vWDABw7949tcvXxcbGigmoomx+2LFjR5ZTGhSrhDk6OurcrmKU+e3bt2jcuDFq1aqVozjVGT16NExNTXH8+PEs14mmj/ROmLdt2wZTU1PMmTNH7Qjzhg0bMGLECAwaNIi7yBARERUC9+/fx5kzZ9C7d2+t5Xr16gUAOHnypNKqVwsWLECdOnXw119/YenSpRrrnzt3Dv7+/ihevDiCgoJgZPR/6Uj16tXRsmVLpKenY9WqVSp1ly9fDrlcjs6dO4vL0uWXffv24cmTJ2rPpaeniwl1x44ddW7TxsYGCxcuRLt27TBz5kyDxPkpV1dX9OzZEwBHmXWl901/Z8+exdSpUzFhwgS150uVKoUFCxbAyMgICxcuROPGjfUOkoiIiHJPRkYGYmNj8fvvv6NMmTJwdXVFYmKiuG5xZvHx8ahduzasrKyQnJyM33//HcOHD4e9vT0sLCxw4sQJ/PLLLxg1ahROnjyJ/v37o3LlyjA1NUV0dDR2796NNWvWoGrVqti6davSTWkKgYGBaNq0Kfz9/SEIgrh99tatWzFv3jzUrFkTa9asEcsnJiYiMTFR3LUuPj5enBbq7OyMlJQUxMfHIzExUSyvOO/o6KjX0moSiQQJCQmoW7cuJkyYgAYNGojzj2/evInly5fj8uXL6Nu3Lzp06CDWU8SiGD1XF0e/fv1UVihJSUnB27dvxXoZGRlK16i47pSUFPF1SElJQUxMDIyNjVVGucePH49Nmzbh2LFjOH78OL755htxzWpSJRH0XAdGKpXiwoULWe5gc+PGDbRo0QLPnz/XK8DCKiEhAba2toiPj1e7LA5lj1wux8uXL+Hk5KQ0EkFUkDiHhOV3CKSBq5GAuTZGcCpVGhIzc43lqthY5WFUBUd0dLTKlsvTp0+Hv7+/Slk/Pz9xC+rMQkJClLaZvnbtGjZu3IjQ0FA8efIE8fHxkEgk6Nq1K7p164a2bdtCIpFojCk5ORnLly/Hjh07cP/+fQAfl5r78ccf8euvv4rTHYCPW2NrGikVBAGBgYHo06eP2vNRUVEqq4Ho4s2bN/jrr79w6tQpXL9+HY8ePcK7d+9gamoKFxcX1KxZE71790br1q2V6mmKJas4tF2DIpXT9Ltxc3NTO4+6c+fO2LNnj/jz2rVr0b9/f40xFBapqamIioqCh4eH0vtEHV3zNb0TZisrK4SHh2f5JouOjkalSpWQnJysTzeFTkBAAAICApCRkYGIiAgmzAbChJkKAybMBRcT5vwXEhKCJk2aoHXr1hg/fjyqVasGKyu+3tkhCALS09NhYmKi9cPGly43Ema9Mw83NzedFgz/+++/8/Uu1rw2ZMgQhIeH4/Lly/kdChERUYHRsGFDrF69GkeOHEH9+vVRpEgR/Pjjj/kdFpFO9E6Y27Vrh3HjxiE4OFhjmd27d2P8+PFo3769vt0QERHRZ+KXX37BxYsX0bt3b7i7u2e5OzBRQaH3O3X8+PHYtm0bunTpIs7VUUwoj42NxZUrVyCTyVCqVCmMGzfOYAETERFR4VW9enUEBgbmdxhE2aJ3wmxnZ4cTJ06gU6dOuHXrFg4cOCDOp1FMi/7666+xZ88e2NnZGSZaIiIiIgNTtxqIJuHh4ShdunQuRkMFUY6+C/nqq68QFhaG/fv34++//xb3dHdzc0OzZs3Qrl073qBFREREBVpYWJjOZUuUKJF7gVCBlePJQ0ZGRujQoYPSGoNEREREhYW6taCJMsv14d+kpKRc26mGiIiIiCi35XrCnJiYyG0XiYiIiKjQytGUjOfPnyMwMBBhYWF48+YNMjIyVMp8+PAhJ10QEREREeUrvRPmS5cuoWnTpkhMTERWmwVyNxoiIiIiKqxytA5zeno6RowYAS8vL9jb28PU1FSl3OvXr9GlS5ccBUlERERElF9yNMK8cuVK9O3bV2u5Fy9eZDkCTURERERUUOl905+ZmRkaNmyYZbnixYtDLpfr2w0RERERUb7SO2H+/vvv8eTJkyzLpaWl4cyZM/p2Q0RERESUr/ROmOfPn49p06bh2bNnWsvFxcXpNBJNRERERFQQ6T2Heffu3ShZsiTKlCmDxo0bw9PTEw4ODiorYiQmJuY4SCIiIiKi/KJ3wuzv7w+JRAJBEHD06FG1ZRTnuawcEREVBot9f8jvELJl9I6/DNKOu7s7Hj16pHL805v2X758CWdnZ0ilUrx+/VpldaxP2/H29kZ0dLTatrXZuHEj/Pz8slWHKDflaOOSUaNGQSqVai3z7t07LF26NCfdEBERUS66fPkyIiIiUL9+fQAfV8IqVaqUSrmjR49CEAS8e/cOZ8+eRaNGjVTauXv3Lho2bIg7d+7AwcEBGRkZyMjIQK1atfD06VMsW7YMvr6+GmNxcXEx7MURGUCOEuaxY8fCyclJa5mYmBgsWbIkJ90QERFRLnJ0dISjoyNKlSqFJ0+eICwsDLVq1VIpd+TIEaXnnybMjo6O2LZtG7y8vPDVV18pnTM2NgYA2NrawtnZOReugij36H3T3+bNm1G0aNEsyzk4OCAkJETfboiIiCiPtGjRAoByYqwgl8vx999/o0OHDgCAw4cPq23j6NGjYjv6iI2NRffu3fWuT5Qb9E6Ye/ToATMzsyzLmZqawtvbW99uiIiIKI+0bNkSAHDy5Emkp6crnbt48SJSU1Mxf/58AEB4eLjK3OT3798jNDRUbEdX0dHRkEgkOH36NIoVKwZzc/McXAWR4emdMCukpqZi8+bNGDhwINq0aYOYmBgAwM6dO/H69escB0hERER5o3HjxjA1NUVCQgL++ecfpXOHDx9Gw4YNUa5cOVSqVAmA6kh0aGgoihQpgho1auRZzER5IUcJ8+nTp1GmTBn4+flhzZo1OHz4MJKTkwEA8+bNQ+nSpREcHGyQQImIiCh32djYoG7dugCgsgLWkSNHxJHjVq1aAVCdlnH06FE0a9aMq2PRZ0fvhDkiIgI//PADXrx4gTp16qBHjx5Ky8vs3bsX3bt3h6+vL65fv26QYImIiCh3KZLizKPHL1++xLVr18S5yYoyp06dwvv378VyR48ezXI6xsCBAyGVSpUelStXNvRlEBmU3gnzvHnzYGtri+vXr+Off/7B5s2blRJmd3d3rFu3Dj179sSCBQsMEiwRERHlLkVSfOPGDchkMgAfE2FPT0+ULVsWAFC/fn1IpVIkJSXhzJkzAIDHjx/j3r17aNasmdb2Z86cibCwMKWHphsIiQoKvRPmU6dOYenSpfj222+1lhs0aBAuX76sbzdERESUh6pUqQIXFxeljckyT8cAADMzMzRu3BjA/03LOHr0KGrUqAFHR0et7Ts5OcHT01Pp4e3tDUEQ4OPjkzsXRZRDeifMMTExOk3qd3Z2xvPnz/XtptAJCAhApUqV1K5fSUREVNBJJBI0b94cwMckOCMjA3///bfKVItPp27kdDk5ooJM74TZ1tZWp60ub9++rdN6zZ+LIUOGIDw8nKPqRERUaCmS4ePHj+P8+fNISUlRGf1V3Ph37949RERE4OTJk9leTo6osNA7Yf7uu+8wYcIEpKSkaCyTkJCAKVOmiFttEhERUcHXtGlTGBsb482bN/D394ePjw8sLCyUypQqVUq8WW/KlCkwMTFB7dq18yNcolynd8I8ZswYXL16FWXKlMHUqVOxb98+yOVyXLt2DQcPHsTUqVNRsWJF3LhxA2PHjjVkzERERJSL7Ozs4OXlBeDjPUuaRo4Vx3ft2iUm2USfIxN9K9avXx9Lly7FqFGjMHfuXPG4r6+v+FwikWDlypX8xElERFTItGjRAufPnwcArQnzb7/9JpZXJzY2FhkZGcjIyAAAxMfHi5ucOTs7GzpsolyRo41Lhg0bhtDQULRq1QqWlpYQBAGCIMDS0hI//PADzp07h0GDBhkqViIiIsojiiS5bNmy8PT0VFumfv36sLa2BgDxRsFP1apVCy4uLnj69CkAYMSIEXBxcYGLi0suRE2UO/QeYVaoV68eDh48CLlcjlevXgEAihUrBiOjHO+6TURElKdG7/grv0MoMGrWrAlBELSWMTMzQ0JCgtYy0dHRBoyKKH/onTA3atQIAGBvb4/du3fDyMgITk5OBguMiIiIiKgg0HsY+PTp05DJZBq/giEiIiIi+hzoPcJsYmKCzZs3o2bNmoaMh4iIiIioQNF7hLlkyZJwcHDIspxcLsfjx4/17YaIiIiIKF/pnTC3b98ehw4dyrJcbGwsPDw89O2GiIiIiChf6T0lY+bMmWjZsiWMjY3Rt29fmJubayyb1V22REREREQFld4Jc7t27SCXy/Hrr79i3LhxcHNzg6OjIyQSiVK5Dx8+qBwjIiIiIios9E6YT58+LT5PSkpCeHi4xrJMmImIiIiosMrRxiV79uyBvb291jKvX79Gly5dctINEVGhEBPqnd8hkAap0lKIqrcYHskZsPigZRDHplreBUVEhUaOEuZ69epluVnJixcvOIeZiIiIiAotvVfJOHv2LJKTk/Hs2TOt5YoXLw65XK5vN0RERERE+UrvEeYGDRoA+JgQP3/+3GABEREREREVJHqPMAuCgEGDBuHu3buGjIeIiIiIqEDRO2EuUqQIRo8eDRsbG0PGQ0RERERUoOidMFeqVAlv3rzJslxSUhJmzpypbzdERERERPlK74R52LBhWLhwYZblEhMTMWPGDH27ISIiIiLKV3rf9Pf999/j/PnzqFOnDn799VdUqFBB7U5/L1++zHGQREREeeHphLP5HUK2uM7/3mBtubu749GjR+LPXbt2xY4dO9SWPX36NBo2bKhyfPr06fD391c6lpKSgk2bNuHQoUMICwvDq1evAAAODg4oX7486tSpgyZNmqBBgwYwNjbWGN+zZ8/wxx9/4Pjx44iMjMTbt28hlUpRpkwZVK9eHY0bN0arVq20ThU1RBv0ZZIIei6SbGRklK0d/DIyMvTpptBKSEiAra0t4uPj+YdnAHK5HC9fvoSTkxOMjPT+YoQod/nb5ncEpIG4cUlJR1iYaP636+mKxDyMKucMmTDHxsYiIyMDHTt2xIULFwAAy5cvx7Bhw1TKfvjwAXFxcQAAFxcXLFu2DL6+vpBKpZBKpWK548eP46effsKHDx8wfPhwNG3aFCVKlEBCQgKio6Px559/Ijg4GHK5HJ6enrh//77a2JYuXYpJkyahQoUKGDFiBGrVqgVLS0s8efIE//zzD5YvX44XL17AwsICq1evRp8+fXKljfwmCALS09NhYmLCXZS1SE1NRVRUFDw8PGBhYaG1rK75Wo42LilZsqTWT4PAx0Q5q7WaiYiIKH85OjoCAMzMzGBiYoL09HSMGTMGtWvXRp06dZTKmpmZwdnZWfzZ1tZW6WcACA4ORpcuXVCuXDmcOnUKLi4uSue/+eYbtGnTBoGBgejbt6/G+6ImTpyI+fPnw9fXF0FBQUp5h4eHBxo0aIDBgwejYcOGuH79utIouSHboC9bjobqrly5gqioKK2PS5cucac/IiKiQqRLly7w8vJCWloaunbtKk6j0NWTJ0/w008/QRAEBAUFqSTLmfn5+aFFixZqzx06dAjz589HiRIlsH79eo2DdLa2tli/fn2utUGkd8LcuHFjmJubZ1nOysoKvXv31rcbIiIiymNmZmbYvXs3HB0d8eTJE/To0SNbu/YuWLAASUlJ+P7771G9evUsy0+aNAkDBw5UOT558mQAQL9+/VCkSBGtbVSrVg2NGjVC0aJFDd4Gkd5TMo4fP65TORsbG2zcuFHfboiIiCgfuLq6YseOHWjatCn+/vtvzJw5U+WGPk12794NAGjSpIlO5evXr4/69esrHbt37x7++++/bLVz8uRJg7dBBORwSoYuEhIS8NNPP+V2N0RERGRgDRs2xPz58wEAs2bNwrFjx7KsEx0djRcvXgAAKlSooHff//77r/hc33YM0QYRkAcJc0pKCoKCgnK7GyIiIsoFY8aMQZcuXSCXy9GjRw88efJEa/nMy8na2uq/cowi6Qag9xQJQ7RBBORgSkajRo10Kvfhwwd9uyAiIqICYMOGDbh9+zbCw8PRpUsXnDlzBmZmZjlqs1GjRrh06ZLSsUmTJmHSpEkAYJBl07j0GhmK3gnz6dOnsywjkUggCALfsERERIWYVCpFcHAwateujYsXL2L06NFYuXKl2rJOTk7i87dv32ps888//0RqaioAoEePHrh06ZLSIFvx4sWV2sncrq4M0QYRkMN1mIODg2FnZ6d0TBAExMbGIjIyEps2bULDhg3h6+uboyCJiIgof5UvXx6bNm1Cx44dsWrVKtSvX1/tv+/u7u4oXrw4Xrx4gdu3b2tsz9XVVXxuaWmpcr5u3bri87t37+qV7BqiDSIgh3OYv/vuO3h7eys9fHx80KVLF0yYMAHh4eGIj4/Hu3fvDBUvERER5ZP27dtjwoQJAID+/fvj7t27ast17twZAHS6SVCTr776CtWqVQOg28oV7969Q2BgoLhCh6HaIAJykDDL5fIsP6lJJBKMHz8es2fP1rcbIiIiKkBmz56Npk2bIjExEZ06dVJbZsKECZBKpbh48SLOnTund1+KFTrWr1+PpKQkrWUDAgLQp08fhIaGGrwNolxfJcPMzAw3b97M7W6IiIgoDxgZGWHbtm1wc3NDeHi42jKurq74888/YWRkhF69eiEqKkpjewkJCRp3EmzWrBn8/f3x7Nkz9OvXDxkZGWrL/fvvv5g7dy5Kliypsla0IdogytEcZl1s2bJF7dwkIiIiKjhiY2ORkZGBDx8+ICUlBTExMTA2Noajo6NKWQcHB+zZswf169cXb9z7VIcOHXDkyBH89NNPqFKlCoYOHYrWrVujZMmSSE9Px8OHD/H3338jMDAQr169QuXKldG4cWOVdqZPn46iRYti/PjxqFmzJkaOHIlatWrBwsICjx8/xr59+7BmzRqULFkS+/fvh4ODQ660QV82iSAIgj4VZ86cqfFcRkYG3rx5gytXruDixYvw9fXF1q1b9Q6yMAkICEBAQAAyMjIQERGB+Ph42NjY5HdYhZ5cLsfLly/h5OQEI6Nc/2KESD/++q85S7krVVoKUfUWw6OkIyxMNK/c9HRFYh5GlXOu8783WFvu7u549OiR0jE3NzdER0drrLNx40b07dsXGzduhJ+fn9oyycnJCAwMxF9//YX//vsPr169gpGREYoWLYpy5cqhVq1aaNeuHerXr691Va2nT59i9erVOHbsGCIjI5GUlAQ7Ozt8++236Ny5M/r06QNzc3Ot12iINvKTIAhIT0+HiYkJVyDTIjU1FVFRUfDw8ICFhYXWsgkJCbC1tc0yX9M7YTYyMhKXjdPm22+/xdGjR+Hs7KxPN4WWrr8A0g0TZioUmDAXWLomzChRLe+CIsomJsy6yY2EOUdTMkaNGgWpVKpy3NjYGLa2tqhatWqWnxiJiIiIiAqyHCXMY8eO5ZqGRERERPRZ0/u77YMHD6psWkJERERE9LnRe4S5devWhoyDiIiIiKhAylbCfOLECTx//hzAx33lO3bsqLbcsWPHEB4ejl9//RWmpqY5j5KIiIiIKJ/onDC/f/8enTt3xrt37yAIAipXrqwxYY6JicHo0aOxefNmHD58+ItbIYOIiIiIPh86z2E+duwYEhISUKpUKQQHB+O///7TWLZ58+b4+eefcevWLY1JNRERERFRYaBzwnz8+HHY2tri/PnzaN++vda1cJ2dnfHHH39g586duHr1KrZv326QYImIiIiI8prOCfPVq1cxZMgQlChRQufG27dvj549e2Lbtm16BUdERERElN90Tpjv37+PJk2aZLuDH3/8EVevXs12PSIiIiKigkDnhDk+Ph5ubm7Z7sDDwwOxsbHZrkdEREREVBDonDBbW1sjPT092x1kZGTA0tIy2/WIiIiIiAoCnRNmNzc33LhxI9sd/PfffyhdunS26xERERERFQQ6J8yNGjXC6tWrs93B77//jsaNG2e7HhERERFRQaBzwvzzzz/jzJkzmDBhgs6Njxs3DmfOnMHgwYP1Co6IiIiIKL/pnDCXK1cOI0eOxMKFC1GrVi1s2rQJT58+VSn39OlTbNq0CTVr1sTixYsxbtw4fPXVVwYNmoiIiIgor+i8NTYAzJ8/H0+ePMGOHTvQt29fAICVlRVsbW0BfFxJIzk5GQAgCAL8/Pwwe/ZsA4dMRESUO/z9/fM7hGwxZLw+Pj4IDQ1VOd67d28EBgaKP0dHR8PDw0NtGyEhIfDx8YFcLsfBgwexc+dOXLhwAc+ePYOJiQk8PDzQokULjBo1SmVfB23tahMVFQV3d3eV41euXMGGDRsQGhqKZ8+eITk5GXZ2dihfvjy8vLzQrFkzNGzYECYm2UqF6Aul8wgzABgZGWHbtm1YuXIlnJycIAgCkpKS8Pz5czx//hxJSUkQBAHFixfHmjVrsGHDBkgkktyKnYiIiAwkODgYMpkMdevWBQCMHj0aMpkMy5cvVypXqlQpyGQyXLp0STx26dIlyGQyfPfddwCAFi1aoH379oiIiMCyZctw+/ZthISEoEmTJli6dCkqV66MCxcu6NyuuseePXvUXkdKSgp69+6NWrVqQSaTYcGCBbhy5Qpu3bqFLVu24Ouvv8aqVavQrFkzlChRAjdv3jTI60efN70+Vg0ZMgT9+/dHaGgo/v33X7x48QISiQTFixdH3bp10aBBA5iZmRk6ViIiIsol9vb2ACD++y2VSuHs7KxSztjYGM7OzkhNTRWPOTo6KpV9+fIl3NzccOrUKVhbW4vHa9euDRMTEyxevBjdunVDZGSkOMKrS7vq4s0sLS0NLVq0wJkzZ7Bq1SoMGTJE6Xy5cuXQtGlTDBo0CPXr10dsbCxev36d5WtDpPf3EObm5mjWrBmaNWtmyHiIiIjoM9C1a1elZFnhl19+weLFi/H48WNcvHgR9erV06v9evXqITY2VilxnjRpEs6cOYO2bduqJMuZffPNN/D398eoUaP06pu+PNmakkFERESUlbNnz2q8h8nV1VV8HhcXl+22AwMDIZFIYGpqimLFisHI6GMqExMTg1WrVgEAhg8fnmU7PXv2hLu7OywsLLIdA315ONOdiIiIDErdyLKCTCYTn3/99dcG63P//v1ITU2FmZkZGjRokGV5R0dHREVFGax/+rxxhJmIiIjyzOHDhwEArVq10mtVDE3+/fdfAEDZsmW58gUZHN9RREREpGLu3Ln47bffNJ4XBCHbbSYnJ2PZsmWwtrbGihUrsixfuXJlldW20tPT1ZZ98eIFAKBo0aLZjosoK0yYiYiISMXAgQMxbNgwjeefPXsGHx+fbLU5ZswYREdHY+fOnShbtmyW5Q8fPoySJUsqHQsODsb48eNVynIZW8pNTJiJiIhIhb29PTw9PTWez+60h/nz5+OPP/7Ahg0b0LFjR53quLm5qWxKMm7cOIwbN06lbPHixQEAb9++zVZcRLrgHGYiIiLKVUuXLsXUqVOxadMm+Pn55Uofig1XIiMjNU7bINKX3gnz48ePtc5fevv2Lbp164Y1a9boNc+JiIiICr85c+Zg/Pjx2L59O3r16pVr/bRt2xaWlpb48OEDzp49m2X5+/fvIzAwEOfOncu1mOjzoXfC7OHhgdjYWI3nBUHAnTt3MHjwYEydOlXfboiIiKiQmjRpEmbPno29e/eiU6dOSufGjRuHLVu2GKyv4sWLY+TIkQCgsp23OkOHDkWfPn3EmwWJtNE7Yc5q1NjOzg7//fcfgoKCEBQUpG83REREVMgIgoDhw4djxYoV+Ouvv9C6dWuVMpcuXcKDBw8M2u+MGTPQtGlT7N+/HwEBARrLBQQE4NixY2jRooVKIk+kTq7f9FezZk2lRcqJiIio4ImLi8OHDx/w4cMHAEBiYiJiYmJgaWkJW1tbsVxGRgZiY2OVvmWOjY2FhYUF7O3tYWZmhkGDBuF///sfHB0d1a5oAQD37t1TWmVDW7tmZmZKW2BrYmJigv3792Pw4MH49ddfcfLkSfTt2xcVK1ZERkYGHjx4gPXr12Pv3r1o1aoVtm/fnt2Xib5QOifMN27cQFhYmNKxnTt3wsbGRmOdpKQkBAcHi3euEhERUcHUsWNHhIaGij8vXrwYixcvRu/evREYGCgef/LkicqGI7Vr1wYAhISEwMfHR0xEP02AtdHWrre3N06fPq1TO5aWlti4cSMGDx6MtWvXYtSoUXj27BnS09Ph7OyM2rVr48CBA/jhhx90ao8IyEbCvHfvXsyYMUNpnUNd9moXBAEzZszQLzoiIqI85O/vn98h5BtdE1J3d/csp2Xqs7SbLu1mR61atVCrVi2DtUdfNp0T5qpVq6J3794APibBmzdvRpcuXWBpaam2vJGREYoWLQpvb2+0bdvWMNESEREREeUxnRPmdu3aoV27duLPf/75J1asWAEnJ6dcCYyIiIiIqCDQe5WMjRs3Kt0EQERERET0OdI7Ye7duzfMzc2zLJeUlISZM2fq2w0RERERUb7K9a2xExMTedMfERERERVaOs9hPn36NIKDg9G3b19UrVoVffv21aleSkqK3sEREREREeU3nRPmTp064e3bt7hy5QrOnz+vtCZjVjIvRUdEREREVJjonDCPGjUK27Ztw8CBA8Vjy5Yty/LGv7dv32LUqFH6R0hERERElI90TpgnT56MyZMnKx3r1q1blsvKvXjxAiNHjtQvOiIiIiKifKb3TX8hISE67etub2+PkJAQfbshIiIiIspXOo8wf8rb21unchkZGXj06JG+3RARERER5atcX1YuPj4effr0ye1uiIiIiIhyhd4jzACQnJyMffv2ISwsDG/evEFGRoZKGS4rR0RERESFmd4Jc0REBJo0aYJnz55BEAStZbmsHBEREREVVnonzKNHj8bz58/Rvn17eHl5wd7eHqampirluKwcERERERVmeifMZ86cwfz58zFmzBit5bisHBEREREVZnonzIIgoH379lmWc3R0RFRUlL7dEBER5ZmTp8rmdwjZ0rhRZH6HQPRF0HuVjJo1a+Lt27c6leUcZiIiooLNx8cHEolE5eHn56dULjo6Wm05iUSC06dPAwDkcjn279+PHj16oEyZMjA3N0eRIkXw9ddfY8yYMXj+/HmO49UUQ2BgYI7bJvqU3gnzrFmzMG3aNKSmpmotFxsbCw8PD327ISIiojwQHBwMmUyGunXrAvh4r5JMJsPy5cuVypUqVQoymQyXLl0Sj126dAkymQzfffcdAKBFixZo3749IiIisGzZMty+fRshISFo0qQJli5disqVK+PChQs5ilcmk0Emk4k/79mzBzKZDL6+vjlql0gdvadkREZGwsXFBa6urujatSs8PT3h4OCgMpocHx+f4yCJiIgodyl27zUzMwMASKVSODs7q5QzNjaGs7Oz0oCZo6OjUtmXL1/Czc0Np06dgrW1tXi8du3aMDExweLFi9GtWzdERkbCxES/VOTT2Ozt7dXGS2QIeifMfn5+kEgkEAQB//vf/zSWEwSBUzKIiIi+MF27dlVKlhV++eUXLF68GI8fP8bFixdRr169fIiOKHtytHFJly5dYGlpqbVMcnIydu/enZNu8lR0dDSqV6+O0qVLKx0vXbo0Dhw4kE9RERERFR5nz56Fubm52nOurq7i87i4uLwKKceOHj2KFStW4NKlS0hISIC9vT2qVq2KVq1aoVevXrCzs8vvECkX5ShhXrFiBZycnLSWiYmJwa5du3LSTZ5r27YtbxogIiLSk7qRZYXM846//vrrvAgnxyZOnIj58+ejZcuWOHDgAFxcXHDv3j1Mnz4dw4cPR0hICPbu3ZvfYVIu0jthnjVrltY/CIWiRYti48aN+nZDREREn5HDhw8DAFq1alUoFgXYuXMn5s+fjypVqmD//v3iJm0eHh7w8vJCxYoVs9zxmAo/vVfJmDx5cpbTMQDAwsICvXv31rcbFefPn0f58uUhkUgQHR1tsHaJiIjo/8ydOxdSqVTjo3LlytluMzk5GcuWLYO1tTVWrFiRC1Eb3uzZswEAgwYNUtnR2M7ODt26dUORIkXyIzTKQzqPMDdq1AjBwcEoWrRoLoajWUpKCqZMmYLly5cjIyMjW3WPHj2KxYsX4+rVq3j//j3Kly+Pvn37YvDgwTAyUv3MEBERgQ4dOuDRo0d4//49GjVqhKlTp2Y5/YSIiOhzMXDgQAwbNkzj+WfPnsHHxydbbY4ZMwbR0dHYuXMnypYt+JvEyGQy3Lx5EwBQq1YttWWWLVuWhxFRftE5YT59+jTS0tJyMxaNIiMj0apVK7x//x5HjhxBs2bNdK67YMECTJgwAT/88AOOHz8Oa2trrF+/HkOHDsXff/+N4OBgpSVtjI2NkZGRgfnz56N8+fJ4/vw5fH19UbduXVy5coWT+omI6Itgb28PT09Pjeezuxzc/Pnz8ccff2DDhg3o2LFjTsPLE48fPxafOzo65mMklN+y9W4fNmyY1mkYxsbGkEqlKFWqFLy8vAy2VMzt27fRuHFjLFy4EFKpVOd6Z8+exYQJE1CpUiUEBweLX6UsWLAAb968wdq1a7FgwQJMnjxZrFOqVClcvHhR/LlEiRJYu3YtKlasiNWrVyuVJSIioqwtXboUU6dOxaZNm9CrV6/8Doco27KVMD9+/Fhc0FwduVyOxMREPH78GK9fv0aFChUQFBSEatWq5SjI1q1bo23bttmu5+/vDwAYOnSoyryj0aNHY+3atVi4cCFGjRql9YNAhQoVYGNjg3///TfbMRAREX3J5syZgxkzZmD79u3o1KlTvsSQkZGBtLQ0WFhYZKte5iVmY2NjUapUKUOHRoVEthLmvXv36jyP9/bt2/D390ezZs1w8+bNHO2+Y2xsnO06sbGx4p72jRs3Vjlfvnx5uLq64unTpzhy5Ij49VB8fDwsLS1VPhgopmoQERGRbiZNmoSlS5di7969aN26tdK5cePG4dtvv0XPnj1zPY7NmzejT58+2V7NwsXFBd988w1u3ryJS5cuoXr16iplZs+ejf/++w87d+7kRm2fMZ0TZm9vb62jy5+qXLkydu3ahebNmyMgIACzZs3SK0B9XblyBXK5HKamphpvLKhQoQKePn2Ky5cviwnz8OHD0aJFC3Tr1k0s9+jRI7x58wZVq1bV2N/79+/x/v178eeEhAQAH0fd5XK5Aa7oyyaXyyEIAl9LKtD0XnaISE+5uZyZIAha28987tOygiBgxIgR2LBhAw4ePIjGjRurtHXp0iVYWloa7Bq0xas4rk9fkydPRrdu3fDHH3+gX79+SnO3ZTIZfvvtN/z44496t59dObmWL4XivaBLDqZrXqFzwhwSEqJrUSWDBw/G3Llz8zxhjoyMBPBxkr66lTCAj58cM5dV+O2339CoUSM4OTkhKSkJQ4YMgYODA4YMGaKxv3nz5mHGjBkqx2NjY5GamqrvZdD/J5fLER8fD0EQNP4+ifKb/t+jEeknPT3dYG3FxcXhw4cP4uDPu3fv8PTpU1haWsLW1lYsl5GRgdjYWMTExIjHYmJiYGJiAnt7e5iZmWHIkCFYu3YtHB0dMX78eLX9RURE4Pvvv9f7Gm7duqX0c2RkpMaVvJ48eQJAv9erY8eOGDNmDH777Te0b98eEydORPHixXHr1i1MnToVzs7OmDFjhkF/F5oIgiB+283RbM3S09Mhl8vx+vVrlSm5n3r37p1ObeZopz9dfP3113jw4EFud6NCMcKrbW6ylZUVgI/TMBRGjRqF1atXo3HjxpBIJIiLi0OdOnVw/vx5lCxZUmNbEydOxKhRo5T6L1WqFBwdHWFjY5PTy/niyeVySCQSrR+AiIhyqlHDvP/3qqDw9fVFaGio+PPSpUuxdOlS9O7dW2kDsqdPn6JMmTJKdb/77jsAwKlTp+Dj44OdO3cC+DhoFBsbq7FPIyOjbK+2ofDp9IgBAwZkWUffvhYuXIiGDRti5cqVaNeuHZKTk+Hu7o62bdti3LhxsLe316tdfWWVBH7pTExMYGRkBAcHhyznres6rz3XE2Zzc3Ods/eC4Ntvv8Uff/yR7Xrm5uYwNzdXOW5kZMQEz0AkEglfTyLKVV/yqJ3ivp+seHh4ZDkd4O3btzkPKAt5PSWhVatWaNWqVZ72+SlBEMT36Jf8Xs2KRCLROWfQNafI9czjxYsX2b4r1RAUo7opKSkayyQnJwOA0ldNRERERESZ6Zww//nnn0o3tenq2LFjKFGiRLbr5ZTiRr/Y2FiNE7plMplSWSIiIiKiT+mcMPfp00dprq8uwsLCsHjxYtStWzfbgeVUjRo1YGRkhLS0NJWb+hTu3r0LQPN2l0REREREOs9hFgQBFy5c0Lo1tCAISEpKwqNHjxAaGop9+/YhLS1Np4n4hubk5ARvb2+EhITg5MmT+Oqrr5TO37t3D0+fPoW1tTVatGiR5/ERERHRR0FBQfjll190Kvv999/jyJEjevUzd+5czJ07V6eyPXv21OueJvo8Zeumv+zs/a6YmD5jxgzx7tm8Nn36dISEhGDVqlXo37+/0t2xixcvBgCMHTtWXC2DiIiI8l7btm3h5eWlU1ltq19lZeDAgejatatOZbnCFWWWrYQ5qztSJRIJpFIpSpcujTp16qB///46/wFkJTY2VmWnvdjYWPGGQnU7CXp7e2POnDmYPHkyOnTogBkzZkAqlWLDhg1Yu3YtWrVqhYkTJxokPiIiItKPtbU1rK2tc70fe3v7PF8Cjj4POifMEokEMplM562xDa1WrVp49OiR0rHatWuLzzUl85MmTUK1atWwePFiNGrUCGlpaShXrhyWL1+OIUOG6LXtNhERERF9ObI1hzk/RUdH6123ZcuWaNmypeGC0SIgIAABAQEqo+FEREREVDjpvEqGXC7Pt9HlwmTIkCEIDw/H5cuX8zsUIiIiIjIAbplGRERERKQFE2YiIiIiIi2YMBMRERERacGEmYiIiIhICybMRERERERaMGEmIiIiItKCCTMRERERkRbZ2hqbiIjoc+YcEpbfIWRLTMOqudJuXFwcVqxYgUOHDiEiIgIpKSlwcHCAi4sLKleujPr168Pb2xsVKlQAAPj5+WHTpk1KbQQGBqJ379469Ve9enVcv35d/NnNzU3csMzHxwehoaEa6xoZGcHe3h5eXl4YMWIEmjRpks2rJcoaR5iJiIhIFB4ejsqVK2PJkiVo06YNTpw4gcjISJw6dQojRozAlStXMHDgQHTu3Fmss3z5cshkMowePVo8Nnv2bJ12vT1w4ICYLNetWxcymUxp86/g4GDIZDLUrVsXADB69GjIZDLIZDI8f/4cly5dwtChQ3HixAk0bdoUq1evNtRLQSTiCDMRERGJBgwYgJiYGGzfvh2+vr5K5ypWrIhmzZqhWrVqSsdtbW1ha2sLqVQKa2trpKam4sGDBwgKCsJPP/2ktb9Zs2bB3t4ecXFxMDMzg7Ozs9J5e3t7AICZmRkAQCqVKpVxcXFBjRo1YGRkhKlTp2Ls2LHo3r077Ozs9H4NiD7FEWYDCwgIQKVKlVCrVq38DoWIiChb4uPjcf78eQBAy5Yt1ZZxdnZWSaQzs7e3F6diZDXKfPjwYURGRsLPz0//oP+/5s2bAwCSk5PFayAyFCbMBjZkyBCEh4crfZ1ERERUGMjlcvH5s2fPNJabOnUq9uzZo/H85MmTYWpqivv37yMoKEhjuZkzZ2L48OGwtrbWL+BMTE1NxecpKSk5bo8oMybMREREBACws7NDiRIlAACDBg3Cixcv1JZzcHBA+fLlNbbj7u6e5SjzsWPHcOfOHQwbNswAkQNnzpwRnytuRiQyFCbMREREJJo2bRoAIDQ0FB4eHujZsyeCg4Px7t27bLWTeZR569atKudnzZqFX3/9NcdzjRMSEhAUFCTG3b59e3z99dc5apPoU0yYiYiISPTLL78gICAA9vb2SElJQVBQEDp16gQHBwc0atQIq1evRkJCQpbtaBtlPnnyJMLCwjBy5Mhsxzd37lxIpVJIpVIUKVIEtra26NmzJ4oWLYopU6Zg+/bt2W6TKCtMmImIiEjJ4MGD8eTJE2zZsgWdO3dG0aJFkZaWhpCQEAwZMgRly5bFwYMHs2xHMcocERGBbdu2icdnzpyJQYMGoVixYtmObeDAgQgLC0NYWBhOnTqFvn37wsrKCr169YK/vz/Mzc2z3SZRVpgwExERkQorKyv06NEDu3btwqtXrxAaGopBgwbBysoKr169Qrdu3fDo0SOtbbi7u4vLyilGmU+fPo3Lly9jzJgxesVlb28PT09PeHp6wsvLC+vXr0ejRo0we/ZsTJkyRa82ibLChJmIiIi0MjY2RoMGDbB69WrcvHkTdnZ2SE5OVho11kQxynzv3j1s27YNM2fOxIABA1C8eHGDxbdgwQJIJBIsXrxY3CGQyJCYMBMREZFo7ty5uHjxosbzZcqUQbdu3QBAp+TUw8NDHGUeOXIkzp8/j3HjxhkkVoVKlSqhXbt2SEtLw9y5cw3aNhHAhJmIiIgyWbNmDQ4fPqy1jIWFBQDA0dFRpzYVo8yvXr1Cnz59ULJkyRzH+amJEycCAAIDA7OcKkKUXUyYiYiISMmff/6J+Ph4tecSExOxd+9eSCQSdOjQQaf2PDw8MGPGDLRr1w4TJkwwZKii2rVro2HDhkhLS8O8efNypQ/6cjFhJiIiIpFEIkF0dDTq1KmDjRs3Ijw8HE+fPsW1a9ewZs0a1KxZE9HR0fD390f16tUBfEyiY2JikJiYiIyMDMTExCAmJkap3YkTJ2Lfvn1wc3MTj2WuBwAfPnxATEwMYmNjxTJxcXGIiYnBhw8flOrExcWpxK4YZd64cSNu3LihVI8oJySCIAj5HcTnJCAgAAEBAcjIyEBERATi4+NhY2OT32EVenK5HC9fvoSTkxOMjPg5jwoof9v8joA0SJWWQlS9xfAo6QgLE4nmgiWq5V1QBZRMJsOBAwcQGhqKGzdu4MmTJ0hMTISFhQVcXV1Rp04d/Pzzz6hXr55Yx9/fHzNmzFBpK6sUQ1M9Nzc3cX60j48PQkNDVcp4e3vj9OnTKsdr1qyJq1evij8fP34cTZo00RpHYSEIAtLT02FiYgKJRMv7+AuXmpqKqKgoeHh4iNOHNElISICtrW2W+RoT5lyi6y+AdMOEmQoFJswFFhNm+hwwYdZNbiTMzDyIiIiIiLRgwkxEREREpAUTZiIiIiIiLZgwExERERFpwYSZiIiIiEgLJsxERERERFowYSYiIiIi0oIJMxERERGRFkyYiYiIiIi0YMJMRERERKQFE2YiIiIiIi2YMBMRERERacGEmYiIiIhICybMBhYQEIBKlSqhVq1a+R0KERERERkAE2YDGzJkCMLDw3H58uX8DoWIiIiIDIAJMxERERGRFib5HQAREVFB4T7hUH6HkC3R81vneh8ymQylSpWCIAh4/PgxSpYsqbV8XFwcVqxYgUOHDiEiIgIpKSlwcHCAi4sLKleujPr168Pb2xsVKlQQ6/j5+WHTpk1K7QQGBqJ37946xVi9enVcv35d/NnNzQ3R0dEAAB8fH4SGhmqsa2RkBHt7e3h5eWHEiBFo0qSJTn3Sl4UjzERERKTRxo0bkZGRAblcjsDAQK1lw8PDUblyZSxZsgRt2rTBiRMnEBkZiVOnTmHEiBG4cuUKBg4ciM6dOyvVW758OWQyGUaPHi0emz17NjIyMrKM78CBA2KyXLduXchkMqVpkcHBwZDJZKhbty4AYPTo0ZDJZJDJZHj+/DkuXbqEoUOH4sSJE2jatClWr16t60tDXxCOMBMREZFagiBgw4YNKFasGF69eoUNGzZg0qRJkEgkassPGDAAMTEx2L59O3x9fZXOVaxYEc2aNUO1atVU6tna2sLW1hZSqRTW1tZITU3FgwcPEBQUhJ9++klrjLNmzYK9vT3i4uJgZmYGZ2dnpfP29vYAADMzMwCAVCpVKuPi4oIaNWrAyMgIU6dOxdixY9G9e3fY2dll/QLRF4MjzERERKTW6dOn8ejRI2zduhUA8PDhQ5w+fVpt2fj4eJw/fx4A0LJlS7VlnJ2dVRLpT9nb24tTMbIaZT58+DAiIyPh5+eXxZVkrXnz5gCA5ORk8TqIFJgwExERkVrr169H69at0bRpU9SuXVs8po5cLhefP3v2TGObU6dOxZ49e7T2O3nyZJiamuL+/fsICgrSWG7mzJkYPnw4rK2ttbanC1NTU/F5SkpKjtujzwsTZiIiIlLx9u1b7NmzBwMGDAAA8b/BwcGIj49XKW9nZ4cSJUoAAAYNGoQXL16obdfBwQHly5fX2re7u3uWo8zHjh3DnTt3MGzYMN0vSoszZ86IzzPfkEgEMGEmIiIiNYKCglCsWDG0aNECANCtWzdIpVKkpKSIUzQ+NW3aNABAaGgoPDw80LNnTwQHB+Pdu3fZ7j/zKLO6/mbNmoVff/01x3ONExISEBQUJMbevn17fP311zlqkz4/TJiJiIhIxfr16+Hn5wdjY2MAH2+WU8w/1jQt45dffkFAQADs7e2RkpKCoKAgdOrUCQ4ODmjUqBFWr16NhIQEnfrXNsp88uRJhIWFYeTIkdm+rrlz50IqlUIqlaJIkSKwtbVFz549UbRoUUyZMgXbt2/Pdpv0+WPCTEREREquXbuGsLAw9OvXT+m4YlrG1atXcePGDbV1Bw8ejCdPnmDLli3o3LkzihYtirS0NISEhGDIkCEoW7YsDh48qFMcilHmiIgIbNu2TTw+c+ZMDBo0CMWKFcv2tQ0cOBBhYWEICwvDqVOn0LdvX1hZWaFXr17w9/eHubl5ttukzx8TZiIiIlKybt06NGnSBO7u7krHvby88M033wDQPMoMAFZWVujRowd27dqFV69eITQ0FIMGDYKVlRVevXqFbt264dGjR1nG4e7uLi4rpxhlPn36NC5fvowxY8bodW329vbw9PSEp6cnvLy8sH79ejRq1AizZ8/GlClT9GqTPn9MmImIiEikmKN8+vRpcepC5sedO3cAAFu2bMH79++zbM/Y2BgNGjTA6tWrcfPmTdjZ2SE5OVlpxFgbxSjzvXv3sG3bNsycORMDBgxA8eLFc3SdmS1YsAASiQSLFy8WdwgkyowJMxEREYl2794NU1NT3Lp1S5y6kPlx+fJlmJqaIi4uDvv27VOqO3fuXFy8eFFj22XKlEG3bt0AQOfE1MPDQxxlHjlyJM6fP49x48bpdW2aVKpUCe3atUNaWhrmzp1r0Lbp88CEmYiIiETr1q1Dt27dUK5cOXHqQuZH1apVxU0+Pp2WsWbNGhw+fFhr+xYWFgAAR0dHnWNSjDK/evUKffr0QcmSJbN5VVmbOHEiACAwMFCn6SL0ZWHCTERERACA+/fv48yZM+LqFJr06tULwMfVKh4/fqx07s8//1S7TjMAJCYmYu/evZBIJOjQoYPOcXl4eGDGjBlo164dJkyYoHO97KhduzYaNmyItLQ0zJs3L1f6oMKLCbOBBQQEoFKlSqhVq1Z+h0JERKSTjIwMxMTE4Pfff0eZMmXg6uqKxMREtWXj4+NRu3ZtWFlZQS6X4/fff0dMTAw+fPgAiUSC6Oho1KlTBxs3bkR4eDiePn2Ka9euYc2aNahZsyaio6Ph7++P6tWri20mJiYiJiYGiYmJYiwxMTFK/U6cOBH79u2Dm5ub2noA8OHDB8TExCA2NlYsExcXJ8aXuU5cXJzKtSlGmTdu3IgbN24o1aMvm0QQBCG/g/gcJSQkwNbWFvHx8bCxscnvcAo9uVyOly9fwsnJCUZG/JxHBZS/bX5HQBqkSkshqt5ieJR0hIWJRHPBEtXyLqgCJDo6Gh4eHkrHpk+fDn9/f5Wyfn5+2LRpk8rxkJAQlC9fHgcOHEBoaChu3LiBJ0+eIDExERYWFnB1dUWdOnXw888/o169ekp1/f39MWPGDJU2s0pRNNVzc3MT50j7+PggNDRUpYy3tzdOnz6tcrxmzZq4evWq+PPx48fRpEkTrXHkFUEQkJ6eDhMTE0gkWt7HX7jU1FRERUXBw8NDnAKkia75GhPmXMKE2bCYMFOhwIS5wGLCTJ8DJsy6yY2EmZkHEREREZEWTJiJiIiIiLRgwkxEREREpAUTZiIiIiIiLZgwExERERFpwYSZiIiIiEgLJsxERERERFowYSYiIiIi0oIJMxERERGRFkyYiYiIiIi0YMJMRERERKQFE2YiIiIiIi2YMBMRERERacGEmYiIiIhICybMRERERERaMGEmIiKiQu2PP/6ARCIRH/7+/vkdEgDg3LlzSnH5+fnld0ikJ5P8DoCIiKjA8LfN7wiyxz/eYE35+PggNDRU5Xjv3r0RGBiosZ4gCGjdujUiIiJw7tw5ODs7i+ckEonaOhs3bjRo8ti7d2+0b98ev/32GxYvXqy2zKZNmzBs2DAEBASgZ8+eButbGy8vL8hkMuzYsQMjRozIkz4pd3CEmYiIiBAcHAyZTIa6desCAEaPHg2ZTIbly5drrffq1SscOXIEkZGROHfunNI5mUwGmUwm/rxnzx7IZDL4+voaNHZLS0s4OztDKpVqLLNz504kJCRg+/btBu1bG1NTUzg7O8PWtpB9ECMVHGE2sICAAAQEBCAjIyO/QyEiItKZ/f9r786jqq72/48/GQVkEJA4KgqofR26WXqdM8UcuqZ5G5xSu0pqapjWTzK7rlJv5tDg0GBmmsNNM000vdrNUnMgc9Y0tKyAHM4REGVQ5DB8fn/w5XzFAydUENTXYy3Wgr33Z3/en4NH3mz2EBAAgLu7OwDe3t5FRotLEhQUxKhRozhx4gSdO3cuUnf19QEBAaXqszyMGjWK5ORkoqKiKuT+cmtTwlzGoqKiiIqKIj09Xb9RiojIHeG9996r6BD+VLdu3ejWrVtFhyG3KE3JEBERkesyadKkIovaHM11LiuGYfDxxx9z//334+npSfXq1XnyySc5duxYse0TEhKKxBgREWHX5tSpU4wePZqGDRvi5eWFn58fDzzwADNmzCA+Pr7YGJYvX07Hjh3x9/fH3d2d2rVr89hjj/HJJ59w6dKlEuM/deoU/fv3p3r16nh6etK8eXM2btxYbNuff/6ZyZMn06ZNG4KDg/Hw8ODuu+9m2LBhJCQk2LXv3LlzkWdNSEhg2bJltGzZEm9v7yLlhQ4fPszf//53/P398fLy4t5772XmzJn8+uuvDl83q9XK7Nmzad68Od7e3nh7e9O0aVOmT59OVlZWic9/q1LCLCIiItclOjoas9lMnz59bto9n3vuOZ599ln8/Pz45ptv2L9/PwMHDqRPnz7FJs21a9fGbDazevXqYvs7ffo0zZo146uvvuKtt97ip59+YseOHXTs2JFXXnmFyMjIIu3z8/MZOHAgAwYMoE6dOmzevJljx44xe/Zsjh07xpAhQ5gwYUKx90pJSaFfv34MGDCAvXv38umnn5KYmEjPnj3Zt2+fXfsxY8Ywffp0+vXrx7Zt2zh69CgzZsxg165dNGvWjOPHjxdpv2rVKsxmMyEhIQC8+eabfPnll8ydO5fDhw8zcuTIIu2/++472rRpw44dO5g1axZxcXEsWrSIH374gWHDhgEQEhKC2WwmJibGdt3Fixfp0qULL774Iu3bt2fHjh3s2LGDhx9+mH/+85906NCBzMzMYl+DW5WmZIiIiMh1KRxZ9PT0vCn3W79+PfPmzSMkJISNGzdStWpVAEJDQwkLC6NZs2Z217i4uGAymWxztK/28ccfk5yczNy5c3n00Udt5U2aNOHs2bOcOHGiSPu3336b5cuX88gjj7BkyRJbeb169WjWrBmNGjXCMIxi77VhwwZiY2Np27YtAOHh4Zw5c4bRo0czb948FixYUKR9cHAwM2bMYPTo0UDByHZYWBht27YlNDSU6Oho/vOf/9ja+/v7254ZYN++fezevdu2W8m0adOIiYnBxcWFrKwsBg4cSFZWFitWrKBnz54AhIWFsWLFCpo3b17k9bvS2LFj2b59OyNGjGDmzJm28qZNm2K1Wpk1axavvPLKLTFVp7Q0wiwiIiK3hNmzZwMF28gVJsuFmjZtSrt27a65z+TkZAD++OMPu7oxY8YwZswY29c5OTm8+eabALYk9krh4eE88sgjJf4C0aBBA1uyXKhVq1YAHDp0yK594VZ4VwsJCaFWrVp88803WK3WEp6sYF3VlVv7+fn5YbFYqF27Nl988QWnT5+mVq1atmS5kLOzc4mLIy0WCwsXLgTgxRdftKsfMWIEAJ988sltNTVDCbOIiIhUerm5ucTGxgLw17/+tdg2jRo1uuZ+O3XqBMDLL7/MyJEj2b9/v63uL3/5C48//rjt6/3793Pu3DkAWrRoUWx/MTExTJs2rdi6+vXr25UVjnyfP3/eri4/P5+FCxfSqVMnatasia+vL/7+/vj4+HD69GmsVispKSklPpuj16Nwz+1rfS23bt1Kbm4uvr6+3H333Xb1YWFhODk5cenSJQ4ePFji/W81SphFRESk0ktJSSE7Oxso2MquONezZd0TTzzBW2+9hYeHB/PmzaN58+bUqVOHF154wW5OdGJiIlAwAlvSFA9HAgMD7cpcXQtmx169Ha1hGDz22GMMHTqUrKwsPvroI3bv3s3evXs5ePAgNWvWBHA4wlzS6wQFiw8dtSnptSwcic/IyMDHx8c2LafwIyAgwDYl5fTp0yXe/1ajOcwiIiJySylpjvD1io6OZvjw4axcuZKVK1eyZcsW5syZw/vvv8+MGTMYO3ZsmdynpJMPi7N69WrWr19PUFAQ//3vf/H19cUwDHJzc3F1dbUl2jd6v+t9LWvXrs3mzZsdtgkODr6uvisjJcwiIiJyTQzDIDs7G3d3d5ydb84fq6tXr06VKlXIzs62zTu+msViue7+fXx8GDJkCEOGDCEpKYm33nqLt99+m3HjxtGjRw8aNGhAaGgoUDBVIjU19bpGmUurcMpE69at8fX1LfP+C3fSuNbXsvA1SE9PL3aKye1KUzJERETkmiQmJuLp6cn27dtv2j1dXV154IEHAIrMM75SSXsxO7JgwQK747Lvuusu3nrrLTp16kR+fj6HDx8GCub7Fk6r2LNnT7H9Pf/882VymmB+fr7Duhv55QCgQ4cOwLW/lh07dsTNzY0LFy7Y7SBSaM6cObRo0YL09PQbirEyUcIsIiIit4TCHSuWLl3KxYsXi9QdPHiQnTt3XnOfO3fu5P333y+2LicnB4A6deoA4Obmxrhx44DiTzc8evQoc+fOJSws7JrjuFrLli0B+P7770lLSytSt27dOtt87uvVq1cvatWqxZkzZ1i3bl2Ruvz8fD744INirwsODmbo0KEAvPPOO3b1ycnJzJgxg9DQ0HIZGa8oSphFRESE+Ph4jh49aktEk5KSOHr0aLEfv/zyCwCZmZlYLBbb9mFpaWlYLBbbQjSLxVJkJDQ1NbVI+2vVs2dPRowYwalTp+jevTuxsbH88ccfrF27lt69e9u2lbsyrry8PCwWC6mpqUDBIjmLxVIkCY2NjWXgwIHExsaSmJjIgQMHGDNmDNu3b+fxxx+ndevWtrbR0dE89dRTbNy4kcGDB3Pw4EF+//13PvvsMx555BHatWtnS+wL7114r6ysrCLPn5ycbJsScXXbfv36cf/993Pu3Dm6d+/Od999x6+//sqSJUsYNmyYbQ7zlX0Uvv6FCwiTk5OxWCzFHiLi6enJp59+iqenJ4MHD2bJkiUkJiayf/9+271L8s4779CxY0c++ugjoqKiOHToEPHx8axZs4aIiAiqVq3K3Llzr/G7W7k5GWU9c16Agrk9fn5+pKWl3Va/YVWU/Px8kpKSuOuuu27afDmRazbJr6IjkBJc9q5N/APvEF4rCA9XBwuhaja9eUFVMhEREbZ5s6XVoUOHYq/ZunUrERERJS46W7RoEYMHD76eMG1HY3/wwQf8/PPPeHp60qJFCyZMmMDWrVuZPHmyre2HH37I3/72N8LDw+36GTRoEIsXLyYpKYkvvviCNWvWcPjwYc6fP09gYKDtCOr+/fvbLbArPBp7/vz5HD58mNzcXOrWrUv//v0ZPXo0Xl5eQMGx3MXdu/D5w8LCbDtvXB0XFCTAr732GmvWrMFsNuPj40OLFi14+eWXeeaZZ2zXhoaGkpCQYEt8rzZx4kQmTZpU7Ot5+PBhXn31VbZv347VaqVhw4ZERUXx0EMPUbduXcLDw/n999/trsvJyWH+/PksXbqUuLg4nJycCAsL47HHHuOFF14o1/ndf+by5cvEx8cTHh6Oh4eHw7alzdeUMJcTJcxlSwmz3BKUMFdaSpjldnDlLhnXsuPG9Thy5AhNmjShadOmHDhwoFzvVdbKI2FW5iEiIiJyB9qwYQO7du0qti4uLg6A++6772aGVGlpWzkRERGRO9CqVav4448/2LJli13dxx9/DEBkZOTNDqtS0giziIiIyB1q69atREZGsmfPHk6ePMmuXbvo06cPmzdvZty4cbRv376iQ6wUNMIsIiIiN92yZcsYPnx4qdo++OCDfPXVV+Uc0Z3n5ZdfplatWmzatIm///3vnDt3Dm9vb5o3b86aNWt47LHHKjrESkMJs4iIiNx0PXv2pFWrVqVq6+npWc7R3JkaNWrEG2+8wRtvvFHRoVR6SphFRETkpvPx8cHHx6eiwxApFc1hFhERERFxQAmziIiIiIgDSphFRERERBxQwiwiIiIi4oASZhERERERB5Qwi4iIiIg4oIRZRERERMQBJcxl7IMPPqBx48a0aNGiokMRERERkTKghLmMRUVFERcXx969eys6FBEREREpA0qYRUREREQc0NHYIiIi/+veJfdWdAjX5MigI2XWV0REBNu2bSux3tPTk7p169KjRw9eeuklAgMDi9Snpqby7rvvsmHDBn755ReysrIIDAykRo0a3HPPPbRr144OHTrQsGFD2zWTJk1i8uTJdvcKDQ0lISGhSFlYWBiJiYl2bSdOnMikSZOu7WFFrpFGmEVERISYmBjMZjNt2rQBYOzYsZjNZsxmMwkJCXz55ZeYTCZmzJhBkyZNOHHihO3auLg47rnnHmbOnMmjjz7Kt99+y2+//caWLVt44YUX2LdvHyNGjKBXr15F7hkdHY3ZbGbs2LEAtGnTBrPZXOy0xr1792I2mwkJCQFg9uzZmM1moqOjy+slEbHRCLOIiIgQEBAAgLu7OwDe3t6YTCZbfWhoKJ06daJVq1bs27ePyMhIdu7cCcCwYcOwWCysWLGCvn37Fum3UaNGdO3alaZNm9rd09vb2/ZReO8r73mloKAgAFxcXADw8/Mrsa1IWdMIs4iIiJSKs7MzQ4cOBSA2NpaTJ0+SlpbG999/D0C3bt2Kvc5kMtkl0iK3EiXMIiIiUmp16tSxfX7q1Cny8/NtX58+fbrE61599VVWr15drrGJlBdNybiNmLYequgQyt8xS0VHUK4sHe+v6BBERBw6c+aM7fPq1avj7+9PzZo1OXPmDCNHjuTzzz8nODjY7rrAwEC7hYIitwqNMIuIiEiprVy5EoDGjRtz9913A/Daa68BsG3bNsLDwxk4cCAxMTFkZGRUWJwiZUkjzCIiIuKQYRgkJiYydepUNm3ahJeXFwsWLLDVDx8+nLy8PF599VVSU1NZtmwZy5Ytw83NjXbt2tGrVy8GDhyIr6+vw/vs2LHDtgCwJJcuXSqTZxK5FhphFhERETtTp0617WDh4eFBeHg4y5cvp1evXuzfv9+2/Vyh5557jpMnT/Lpp5/Sq1cvqlWrRk5ODlu3biUqKop69eqxfv16h/ds3rw5hw4dcvhRs2bN8nxskWJphFlERETsjBgxgtGjRwPg5OSEh4cHJpPJtq1bcby8vBgwYAADBgwgLy+P2NhYVqxYwZIlS0hJSaFfv37ExcURGhpa7PWenp7Ur1/fYVyurkpd5ObTCLOIiIjYCQgIoH79+tSvX5969epRq1Yth8ny1VxcXGjfvj1z587lyJEj+Pv7c+nSJT777LNyjFqkfChhFhERkRsydepUdu/eXWJ93bp16devH4DdkdcitwL9XUNERERuyPz588nOzqZVq1YltvHw8AD+78Q+kVuJRphFRETkhi1dupS0tLRi6zIzM1mzZg1OTk48/vjjNzkykRunEWYREREhNTUVq9WK1WoFCpJci6XgsCiTyeTwWicnJxISEmjdujXjxo2jVatW+Pr6kpSUxL59+5g5cyYJCQlMnjyZZs2a2a7LzMy0fQBYrVYsFgsuLi52I9HJycnk5eWRl5cHQFpaGhaLxbaTh0h5cjIMw6joIG5H6enp+Pn5kZaW9qf7TpaVO+Kkv9ucTvq7xU3yq+gIpASXvWsT/8A7hNcKwsPVqcR2937zj5sY1Y07MuhImfUVERHBtm3biq37s1TBbDazbt06tm3bxo8//sjJkyfJzMzEw8ODkJAQWrduzbPPPssDDzxQ5LpJkyYxefJku/5CQ0Pt5jqHhYWRmJho13bixIlMmjTJ8cPdJgzDIDc3F1dXV5ycSv53fKe7fPky8fHxhIeH26YClaS0+ZoS5nKihFmuhxLmW5wS5kqrtAkzNZvevKBErpES5tIpj4RZc5hFRERERBxQwiwiIiIi4oASZhERERERB5Qwi4iIiIg4oIRZRERERMQBJcwiIiIiIg4oYRYRERERcUAJs4iIiIiIA0qYRUREREQcUMIsIiIiIuKAEmYREREREQeUMIuIiIiIOKCEWURERETEASXMIiIiIiIOKGEWEREREXFACbOIiIiIiAOuFR2AiIhIZXGsYaOKDuGaNDp+rMz6ioiIYNu2bSXWe3p6UrduXXr06MFLL73EkSNH6Nixo127QYMGsXjxYrvyxYsXExkZWaRs0aJFDB48+EZDFyl3GmEWERERYmJiMJvNtGnTBoCxY8diNpsxm80kJCTw5ZdfYjKZmDFjBk2aNKFGjRqYzWYmTJgAFCTUv/32G3PmzCm2/759+2I2m+nQoQP9+vXDbDbTt2/fm/Z8IjdCCXMZ++CDD2jcuDEtWrSo6FBERERKLSAgAJPJhLu7OwDe3t6YTCZMJhOhoaF06dKFTZs20bx5c86cOcOQIUMwmUyMGDECZ2dnsrKy2L59O35+fsX27+npSW5uLjt37mTEiBGYTCY8PT1v5iOKXDclzGUsKiqKuLg49u7dW9GhiIiIlClnZ2eGDh0KQGxsLCdPniQkJISuXbsCsGDBAofXL1q0iPDwcDp06FDusYqUJSXMIiIiUmp16tSxfX7q1CkAhgwZAhQk0cePHy/2OsMw+OSTT2xtRW4lSphFRESk1M6cOWP7vHr16gD07NnT9nlJo8zffvstp06dYtCgQeUfpEgZU8IsIiIipbZy5UoAGjduzN133w2Au7s7Tz/9NABLly4lJyfH7roFCxbwyCOPUKNGjZsXrEgZUcIsIiIiDhmGQUJCAs8++yybNm3Cy8vLbiT5mWeeASA5OZkvv/yySN25c+dYu3atpmPILUsJs4iIiNiZOnUq3t7eeHt74+HhQXh4OMuXL6dXr17s37/ftv1cob/85S+0bNkSsJ+WsXTpUgIDA+nevftNi1+kLOngknJiGAYA6enpFRyJ3Er07+XW5lvRAcgdJy8vr8z7LPz5NXz4cEaNGgWAk5MTHh4emEwmXFxcSrx3ZGQke/bs4ZtvviE+Pt62QHDhwoX84x//KLeY7xSGYZCXl4eTkxNOTk4VHU6llZeXR35+PpmZmVitVodtC3/uFv67L4kS5nKSkZEBQO3atSs4ErmVFL97qYjcqNDQTOb9xeCiW77DdlVvUjxl5eDBg2XeZ2ZmJgDZ2dm2n2VQkFgkJSU5vLZhw4Z4eHhw+fJlpk+fzrBhwzhy5AhxcXG8/vrr5RKvSHFSUlLo3r07iYmJpWqfkZFR4h7ioIS53NSsWZOTJ0/i4+Oj3wLLQHp6OrVr1+bkyZP4+mocT6Qi3MrvQ6vVytmzZwkLC8PDw6PEdr/cxJjKQtOmTcu8T29vbwBMJtN19d+7d2/+/e9/8/XXX/P+++/z4Ycf0r59e3r27FnWod5x8vLy+PHHH2nSpIltpF/sXb58mYSEBPbt22c7iKckhmGQkZFBzZo1HbZTwlxOnJ2dCQkJqegwbju+vr633A9qkdvNrfg+vHz5MsnJybi4uNxWiUZ5PEvhII+zs/N19T906FD+/e9/k5iYyLp161i5ciUffvjhbfW6V7Tb7d9xWXNxccHZ2dk2//7POBpZLqRFfyIiIlJm2rdvb9tubtiwYbi6utKrV68KjkrkxihhFhEREVJTU7FYLLZFUpmZmVgsFiwWyzX3VbjF3Pnz5+nfv3+pRvlEKjMlzHJLqFKlChMnTqRKlSoVHYrIHUvvw9vbE088QY0aNdi1axcA77zzDjVq1Liug0YGDRpkmzIwdOjQMo3zTubk5ETNmjW1NqoCOBl/to+GiIjILe7y5cvEx8cTHh6u0U6R21x5vN81wiwiIiIi4oASZhERERERB5Qwi4iIiIg4oIRZRERERMQBHVwiFSY1NZV3332XDRs28Msvv5CVlUVgYCA1atTgnnvuoV27dnTo0IGGDRsC8MILLzBnzpxi+/Ly8iIgIIDGjRvTvn17IiMj//TUHpE7UVhYWJGjYvv06cPnn39ebNvvvvuOjh072pV36NCBbdu22ZVv3bqViIgI29eLFy8mMjKySJtFixYxePDg6wte5Bb3888/FzluvFBgYCDh4eG2r7Ozszly5EixfTRo0AAfH58iZfn5+aSkpHDhwgWysrLIzc3FxcUFd3d3fH19CQoK0u42N0i7ZEiFiIuLo1OnTly8eJHo6Gi6deuGyWQiMzOTvXv3Mm3aNI4fP84999zD0aNHgYJz3i9evMjbb7/NO++8Q5s2bYiJiQEgLS2NhIQENm3axMcff8zly5d58cUXmTJlCm5ubhX5qCKVSnJyMnl5eTzxxBO27cPmzJnD6NGj7dparVZSU1MBqFGjBrNnz6Zv375YrVby8vJo06YNZ8+e5aGHHmLZsmUEBAQUOYY2KyuLtLQ0evfuTd26dZkxYwZ+fn54enrenIe9gnbJkMogNzcXwzD49ddfuXjxIsHBwZhMJpycnHB1/b8xTMMwyM3NxWq1cuzYMQAaNWqEu7u77RS7QhkZGfz+++8YhkFwcDC+vr64urqSn59PZmYmZ8+eJTs7m5o1a17XFoG3ovJ4v2uEWSrEsGHDsFgsrFixgr59+xapa9SoEV27dqVp06ZFyn18fPDx8cHb2xsAd3d3TCYTACaTiQYNGvDwww8zbtw4Hn/8cd58800OHTrEf/7zHyXNIv8rKCgIKHj/uLq6kpubS3R0NC1btqR169ZF2l75HoOC42Ov/HrWrFn079+fLVu2sG/fPnr06FHkek9PT9avX8/x48dZu3YtgYGB5fhkIpVfYVJcmPC6uLgU+/PJyckJNzc38vPzi1x7ddv09HROnDiBu7s7DRo0KPILKxS8BwMDA/n99985ffo0ubm51K5du6wf646gOcxy06WlpfH9998D0K1bt2LbmEwmu0S6tIKDg9mwYQO1a9dm06ZNTJgw4bpjFbmd9e7dm1atWpGTk0OfPn1ISUm5puufeuopunTpAsCoUaO4dOlSkfoLFy4wZswY3n77bSXLImUsJyeH3377DcMwqFu3rl2yXMjZ2Znw8HDc3Nw4e/YsFy5cuLmB3iaUMMtNd+VvzKdPny6x3auvvsrq1auv6x7+/v62RPndd9/lzJkz19WPyO3M3d2dL774gqCgIE6ePMmAAQOKvD9LY+7cuXh4eJCYmMjkyZOL1I0fP56GDRsyaNCgsgz7hmgWotwuLBYLeXl5eHt7U7VqVYdtXVxcqF69OuD45+7tojze50qY5abz9/e3LcgbOXIkZ8+eLbZdYGAgDRo0uO779OnTBycnJ7Kzs1m/fv119yNyOwsJCeHzzz/HxcWFTZs28a9//euarq9fvz7//Oc/gYIpGoVrDmJjY1myZAnz5s0r85ivR+GfwPPy8io4EpGycf78eQB8fX1L1b6wXVZWFpcvXy63uCqDwvf5lXO9b5QSZqkQr732GgDbtm0jPDycgQMHEhMTU+zq4evl7+9P3bp1Adi9e3eZ9Styu+nYsSPTp08H4PXXX+frr7++putffvllGjRoQE5ODiNHjsRqtTJ8+HBbeWXg5uaGi4sLWVlZFR2KyA3Lzs7GarUClHpR25XtMjMzyyWuyiIjIwM3N7cyXb+kRX9SIYYPH05eXh6vvvoqqampLFu2jGXLluHm5ka7du3o1asXAwcOLPVvziWpXr06v/32W4mj2CJSIDo6mj179rBq1SoGDBjAwYMHS704yN3dnXnz5tGxY0d27tzJQw89RG5uLq+88ko5R116Tk5OeHl5kZaWRkBAAC4uLhUdkghmsxmLxXLN1+Xm5to+L+2/5SvbXXn97SYrK4v09HSqVauGk5NTmfWrhFkqzHPPPcfgwYNZs2YNa9eu5dtvv+XChQts3bqVrVu3MnHiRD755BMeffTR675H4TymsnzTiNyuPvnkE3766Sfi4uLo3bs327dvL3Eh0dUiIiL4xz/+wdKlS4mNjWXLli2Vbt/Xu+66i4SEBBITEwkICKBKlSr6v0EqROFaAX9/f4cLYnNzc4mPjwcKRpULf6ZlZ2fb2lit1lJNsbhyfUJOTs5tNS3DMAzy8vLIyMggPT2dKlWq2OZslxUlzFKhvLy8GDBgAAMGDCAvL4/Y2FhWrFjBkiVLSElJoV+/fsTFxREaGnpd/ScnJwMFPyhFxDFvb29iYmJo2bIlu3fvZuzYsbz33nulvj4yMpKlS5cCFHvgSUVzd3cnJCSElJQUzGZzRYcjdzCLxUJ2djY5OTlFkt+r5ebm2navqVKlim1buivLgT9d9AcF83oLrzEM47acluHm5ka1atWoXr16mf8VSQmzVBouLi60b9+e9u3bEx0dTfPmzTl//jyfffYZ48ePv+b+zp07R0JCAgBt2rQp42hFbk8NGjRgyZIlPPHEE7z//vu0a9fuurd4rIy8vLyoU6cOubm5t/WfpaVymzhxInv27GHUqFGMGjWqxHanT59mxIgRAGzevJlatWrZ6oYOHcrZs2d5/vnniYqK+tN77tmzx9bX119/fd0DUZWVs7Mzbm5u5fZXIyXMUiGmTp1Kp06daNWqVbH1devWpV+/fnz44Ye2pPdarVixAsMwqFKlit2BCiJSsscee4zx48czbdo0hg4dyn333VfRIZU5V1fXIieridxMSUlJJCYmkpmZ6XDRnouLi+0oexcXlyJtH3jgAWbNmsXatWsZO3bsn95z06ZNJCYm0rRp00qzGPdWol0ypELMnz+fjRs3OmxT+B9D4clk1yIlJYWpU6cCMGbMmDvmOFCRsjJlyhS6dOlCZmYmTz75ZEWHIyJXeeWVV6hWrRqxsbHs3bvXYduMjAwWLlwIYNsRR66NEmapMEuXLiUtLa3YuszMTNasWYOTkxOPP/74NfVrNpt55JFHOHPmDF27dmXKlCllEa7IHcXZ2ZnPPvuM0NBQ4uLiKjocEblKUFAQq1atwsXFhaeffrrE3TZyc3MZPHgwFouFSZMm0bVr15sc6e1Bf4+SCuHk5ERCQgKtW7dm3LhxtGrVCl9fX5KSkti3bx8zZ84kISGByZMn06xZM6DgN+SLFy/aFipYrVbbfxAZGRn8/vvv/Pe//2XBggVkZ2fz0ksv8cYbb5TpPowit7rk5GTy8vKwWq1kZWVhsVhwcXEp9i85gYGBrF69mnbt2jlcUW+1WklNTSU1NdVWVvjeDAoK0hZuIv8rNTUVq9Vq20M5MzMTi8WCp6cnfn5+tnZ5eXkkJyfbFq5DwXvXw8ODgIAA2+41nTt35ptvvqF///7ce++9/L//9//o0qULwcHBpKen88MPPzBr1ix+/fVXZs+ezZgxY27uA99GnAydEyoVwGw2s27dOrZt28aPP/7IyZMnbXO5QkJCaN26Nc8++ywPPPCA7ZoXXniBOXPmFNufp6cnAQEBNG7cmA4dOhAZGWk7TVBE/k9YWJhtTmSh0NBQh2sFFi1axDPPPMOiRYsYPHiwXf13331X4q4Y8fHxhIWF3UDEIrePiIgItm3bZlc+aNAgFi9ebPs6ISGB8PDwYvvYunUrERERRcouXbrEwoULWbduHT/++CPnz5+natWq1KtXjy5duhAVFUVISEhZPsodRwmziIiIiIgDmsMsIiIiIuKAEmYREREREQeUMIuIiIiIOKCEWURERETEASXMIiIiIiIOKGEWEREREXFACbOIiIiIiANKmEVEREREHFDCLCIiIiLigBJmEREREREHlDCLiIiIiDighFlEpBxERETg5ORk9zF48OCKDu2GrF27lkmTJnHo0KES27zxxhsEBASwZcuWmxeYiEg5UsIsIlIOYmJiMJvNtGnTBoCxY8diNpuZM2dOBUd2Y9auXcvkyZMdJszLly/n/PnzxMTE3LzARETKkRJmEZFyEBAQgMlkwt3dHQBvb29MJhN+fn4VHFn5e+mll2jVqhWRkZEVHYqISJlwregARETk9jJ48OBbfuqJiMiVNMIsIlIJ7d69m969e9tGqWvWrEm/fv04cOBAiddcunSJqVOncv/991O1alU8PT1p2LAhkZGRbNy4kfz8fFvb7OxsVq1aRd++fWnQoAGenp74+fnRrl07lixZYtf34sWLcXJystVFRkYWmZudkJDAd999V6r52qdOnWLUqFHUq1cPDw8PAgIC6Ny5M6tXr7Zr27lzZ7v7LFy4kCZNmuDh4UFwcDDDhw8nIyOj2Ht9++23dOvWjZCQENzd3QkJCaF37958/vnnXLp0ydG3QETERgmziEglM3fuXNq2bUtiYiLLly/n119/ZfHixRw7doxWrVoVm9AmJSXRpk0bJk2aRN++fTl48CD79+8nKiqKmJgYunfvzvr1623tDx48SJ8+fUhJSeGjjz7i+PHjbN68mdatWxMZGclzzz1XpP++fftiNpvp06cPALNnz8ZsNts+ateuTdu2bTGbzcyePbvEZ9u1axdNmjThiy++4PXXX+f48eN8/fXX+Pv706tXL5599tki7VetWoXZbCYkJASAadOm8eOPP/L555/zww8/0LVrV+bPn8/TTz9td6/58+fTpUsXqlevztq1azlx4gRLly4lOTmZfv36sXLlylJ/T0TkDmeIiEi56dChgwEYEydOLFX777//3nBxcTGCg4ONCxcuFKlLSkoyqlWrZri5uRkHDx4sUtetWzcDMN588027PpcvX24Axpo1a2xlBw4cMBo3bmxcunTJrv3QoUMNwNi7d69d3aBBgwzAWLRoUYnPsGjRIgMwBg0aVKT8woULRo0aNQzA+P7774vU5eXlGQ8++KABGB988IFdn6GhoQZgdOnSpUh5Tk6OERQUZADGH3/8YXeNj4+PkZeXV6Q8IyPD8Pf3d/gMIiJX0giziEglMm3aNPLy8hg0aJDdAsGgoCAGDhxITk4O06dPt5UfOHCAr776Cjc3N0aMGGHXZ69evahZsyZubm62sqZNm/LTTz/h6elp175169YAbNiwoaweC4CFCxdiNptp2bKlbfeQQs7OzowZMwaAKVOmFJk+cqVnnnmmyNeurq789a9/BeDw4cNF6pKTk8nOziYpKalIube3Nx999JHtOUVE/owSZhGRSiIvL4/NmzcD0LJly2LbFJZv2rTJVlb4ecOGDfHx8bG7xs3NjdOnT9O9e/ci5SdOnGDkyJE0btyYgIAAvL298fb2JioqCoDTp0/f+ENdoTDOP3s2s9nMkSNHim1Tv359u7KAgAAAzp8/X6S8U6dOWK1WWrZsyXvvvVckce7duzcNGza89ocQkTuSEmYRkUoiJSXFthDtrrvuKrZNcHAwUJAcpqenA5CYmAgUjECX1vbt27nvvvtYvHgxTz31FBs3buTQoUMcOnSIf/3rXwBYrdbrfpbiFMb5Z892ZdurBQYG2pUVjpzn5eUVKV+4cCE9evTg5MmTjB49mho1atC2bVvmzp1b4iJBEZHiaFs5EZE70HPPPUdWVhbTpk1j/PjxRepKSmgrAycnp1K3DQoKYv369Rw/fpxPP/2UVatWsWvXLnbt2sX06dPZsGED9957bzlGKyK3C40wi4hUMMMwuHz5MtWrV8fLywuAs2fPFtu2sLxatWr4+voCEBoaChTM2S2Nc+fO8dNPPwHQtWvXG4r9WhTG+WfPdmXbstCwYUOmTJnCzz//zK5du2jZsiUnT54sdr63iEhxlDCLiFSwxMREPD092bFjB506dQIK9mEuzp49ewB4+OGHbWWFSe/x48eLnWqQlZXF3/72N+bPnw9Q4oK6Qo7mLjs72//YSE1NtZs/XJzCOP/s2WrUqFEmI7+DBw/m1KlTRcpat25t2+/54MGDN3wPEbkzKGEWEalEXnnlFZydnVmyZIldEpqcnMynn36Km5tbkWkUzZo1o1u3buTk5DBv3jy7PhcvXszXX39N06ZNgYKpCmFhYQBs3LixSNv8/PxiDxApVK1aNQAuXrxoK+vYsSPDhw//02cbMmQIJpOJffv2sXPnTrv7zpkzB4AJEyYUm5hfqyVLlvDVV1/Zlefk5ABQp06dG76HiNwZNIdZRKQcxMfHc/HiRVtimZSUxNGjR4tte+bMGdvnbdq04b333uP555+nS5cuzJgxg7vvvpuff/6Z6OhoMjMz+fjjj7n//vuL9LF48WI6d+7MhAkTyM/P54knniAnJ4cNGzbw2muv8fLLL9OiRQtb++nTp/PUU0/xxhtv4OHhQY8ePUhPT2f69OnExcUBBSPTFosFPz8/2/ZzHTp0YNasWcTExPDwww+zf/9+jhw5wogRI7BaraSmppKWllbk+sLdN/z8/GyHqDz55JPMnDmTdu3akZyczJtvvsmOHTsYOnSobZcOgLS0NLKysmwL+pKTk6latSpBQUFkZWXZ6gvbWiwWgoKCcHFxASA6OpqsrCw6duyIj48Px44d47XXXsPFxYVp06Zd9/dXRO4wFb0RtIjI7ajwwJJr+di6davt+h9++MHo1auXcddddxlubm6GyWQy+vTpY+zfv7/Ee2ZmZhpTpkwx7r33XsPT09MICAgw2rZta6xYscLIz8+3a79x40bjwQcfNLy8vIwqVaoY//M//2OMHz/eeO+994rEdfUBH5MmTTJCQkIMNzc3o06dOsb48eON3NxcY+vWrcU+19WHtvzxxx9GVFSUER4ebri7uxvVqlUzHnroIWPVqlV2MRYelHLlR2hoqGEY/3dAytUf8fHxhmEYxr59+4yXXnrJuO+++4yqVasaVapUMerVq2f079/fOHDgQKm+jyIihmEYToZhGDclMxcRERERuQVpDrOIiIiIiANKmEVEREREHFDCLCIiIiLigBJmEREREREHlDCLiIiIiDighFlERERExAElzCIiIiIiDihhFhERERFxQAmziIiIiIgDSphFRERERBxQwiwiIiIi4oASZhERERERB5Qwi4iIiIg48P8B7BhyxYi1UlsAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABB8AAAJdCAYAAAB6eN/1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACZxElEQVR4nOzdd3QU1f//8dcmpAFJEEgIvRdBVECKINIVUJQiFlT4CBYEARWRolLUiCjIFwQLHVEUhVBEQRBBaQJSBKVKk5YCxISQECA7vz84u7+EbJLNZidtn49zcg7s3Ln3PTt7Z3beO3OvxTAMQwAAAAAAACbxyusAAAAAAABA4UbyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gFwgytXrmjWrFnq3LmzypcvL39/f/n7+6tcuXJq2bKlBg4cqPnz5+vUqVNubfd///ufLBZLmr/85ueff04X47x589zeTn58L7777ju1adNGt9xyi/z8/FSxYkV17NhRM2fOzOvQHKpSpUq69/DmPx8fH5UrV05du3bV999/n9chA3DgnnvuSdNvq1Spktch5bqdO3dqxIgRatKkicqWLStfX18FBgaqatWq6tSpk0aPHq0NGzbo+vXrbm33zTffVGBgoEaPHp3tdZ966im3n8d27typnj172t+DMmXKqFmzZho9erQuX76c4/oLOqvVqkWLFql79+6qXLmyihYtKl9fX4WGhqpZs2Z69tlnNWPGDB05csTh+lmdM4ODg1WtWjXdf//9Cg8P199//53LW2iuEydOpNtmb29v/fbbb9lez/bXunVrzZs3L8PlGR3PHH2Had26tfs3GjliMQzDyOsggILsyJEj6tKliw4dOqQKFSro8ccfV5UqVeTn56czZ85ozZo12rJli738ggUL9NRTT7ml7a1bt+ro0aPauHGjZsyYIUnKb106MjJSP//8syTp6aefliTNnTtX//vf/9zaTn57L95991299dZbCgwM1EsvvaRq1arpwIEDmj59usLCwnTixIk8iy0jy5YtU0JCQpr3cNSoUbr11lsl3Xg/o6OjtXz5cm3cuFGS1LNnT3355Zfy9fXNs7gLunnz5unEiRO688471bVr17wOBzm0bNky7dmzR1WqVHH7cc5Za9asUXR0tCIiIrR06VJVrlw5Xx5zzHDmzBkNGjRIS5cuVXBwsB588EHdeeedKlWqlBISErRv3z4tW7ZMMTExkqTSpUvrhRde0LvvvuuW9osXL67Lly+rePHiunTpUrbW3bJli44dO+a289gvv/yijh07KiUlRX369FHTpk114cIFTZs2TefOndPx48c9MjFlEx0drYceekjbtm1TqVKl1KtXL1WvXl2BgYGKjIzUr7/+qrVr19r3wTvvvKM333wzTR1ffvmlJNn7miRNnjxZpUuXltVq1cWLF3XixAmtXbtW+/fvl8Vi0UMPPaSPPvpI1apVy1H8+eHccfnyZft2p34PKleurL179yooKMjp9WzvW5kyZVS9enVt2bJF69ev15w5cyRJjRo10ssvv6zixYs73N5ly5YpPj5egwYNUtWqVfXaa6+pTJky6tChgwlbDpcZAFx2+fJlo0qVKoYk47nnnjOSk5Mdlps/f77h5eVlSDJmzpzp9jjmzp1rSDLye5e2xTh37lzT2sgP70VMTIzh6+trSDKWL1+eZtmIESOMypUr501gTkr9Hq5fv95hmVGjRtnLDBgwIHcDLGRatWplSDL69OmT16HADfr06WNIMlq1apXXoRhjxowxJOX7Y4677N2716hQoYIhyejVq5dx8eJFh+USExON/v37249h9erVc1sMI0eONIoVK2aMGDHC5TrcdR5r2LChIcl45ZVX0ry+evVqQ5Jx/PjxHNVfkFmtVqNZs2aGJOOBBx4w4uPjHZZbs2aNERAQYEgy3njjjQzrs/W1zN7X1atXGzVr1jQkGbfccovx008/5Wgb8tu5I/V7IMno3bt3ttZz9L5dvnzZ3qe9vb2Nv/76K9O6Zs+enel3F+Q9HrsAcmD+/Pk6ceKEgoKCNGXKlAx//e3du7f9V38Ufr///ruuXr0qSelu+RsxYoTWrVuXB1G519tvv60aNWpIkj7//HMdPXo0jyMC4MkuXLigzp076/Tp03r00Uf15Zdf6pZbbnFYNiAgQJ9++qkeeeQRt8fx3nvvKSEhQePHj3d73dlx6dIl7dq1S1L681Dbtm114MABlS9fPg8iyx9Wr16t33//XRaLRZ999pkCAwMdluvQoYNef/11t7R5//33a8uWLWrQoIFiY2PVtWtX7d692y115ye29/KLL77QkiVLclRX0aJFNWHCBElSSkqKXn755QzLJiYm6q233lKXLl143CIfI/kA5MCvv/4qSapbt64CAgIyLdurV6/cCAn5wMWLF+3/vvmWw+DgYFWvXj23Q3I7b29vPfzww5JufCFYuXJlHkcEwJMNGDBAp0+fVmBgoD7++GOnxkuYMGGCvLwK51fh2NhY+79vPg/5+PioTp068vHxye2w8g3b97cyZcqoQoUKmZZ15/e30qVLa9GiRSpatKiSkpL0yCOP6Nq1a26rPz+YOnWqvV+98MILOnfuXI7q69Wrl5o1aybpxjhiy5Ytc1juo48+UnR0tD744IMctQdzFc4jLpBLLly4IEn2Z0cz07RpU3344Ydq2rSp2WEhj1mt1rwOIVekTqJw5wOAvHLo0CF99913kqTHHntMoaGhTq1XrVo1NWrUyMzQ8oynnIdcZfv+Fhsbq5SUlEzL1qxZUxMnTlSnTp3c0nbNmjX1/PPPS5KOHTumL774wi315hetW7e23y1y4cIF9e3bN8d1/t///Z89ofjaa68pOTk5zfKoqCh98MEHeuGFF1SnTp0ctwfzkHwAcsB2S+exY8e0ffv2TMsGBwfrtddeU/369TMsYxiGFi5cqI4dO6pMmTLy8fFRyZIldffdd2v48OHasWOHU3Ht2rVL3bt3V2hoqPz9/VWvXj1NnDjRqS8j69evV8+ePVWuXDn5+vqqdOnSatWqlT7++ON0B/ubRUdHa9CgQapSpYr8/f1Vvnx5PfHEE/rzzz8zXa9Zs2aZjk4cGRnp9hkz4uPj9fbbb6tBgwYKCgpS0aJFVaNGDfXr1y/LeDNim3HjmWeesb+W1QjN165d0/Tp09WqVSuVLl3aPitGr169tHnz5kzbuXlE9P3796t3796qWLGiihQpYl9m1kBz3t7eabbjZitXrlS3bt1UtmxZ+fn5KTQ0VPfff7+++uorh4OoZTSy9YYNG9KUCw8Pl8Vi0dtvv+1UHTezWq2aM2eO2rZta3/PbTN4LF++3OG23jyKtu0z+uOPP+r+++9XaGiovLy8sjWzgK1O2y9w8+fPTxe7bd/d/LptIMOvvvpK9957r0qVKuWw/1y6dElz5sxR9+7d7QPhFi9eXPXq1dOrr76q06dPO4zN0UjjGzZsUHR0tF566SVVqlRJfn5+qlSpkl566aU0d/s48u233+r+++9XSEiI/bjWsmVLjR07Vvv3709TNqPP97p16/TQQw8pLCxMfn5+qly5sgYMGKDIyMgs3+vNmzerV69eqlixovz8/OzHtU8++cThZ3fDhg0OjzlXrlzRu+++q/r166t48eL2ZWPHjlXr1q1lsVg0f/58STd+Wc3qsyzl/Fi0ePFitW7dWsHBwQoMDFSDBg00adIkt8/ikN3+7O7PUGbmzJljj+Ghhx7K1rrff/+9Vq1a5VTssbGxGj58uGrXrq2AgIA0n43szrj0yy+/qHPnzipVqpSKFSumunXrumUGClvsVatWtb/Wpk2bdMeVsWPHOjzenDp1SgMGDFDVqlXl6+ub4WfXneeuXbt26aGHHlKpUqVUsmRJtW3bVuvXr7evd+XKFb3zzjuqWbOm/P39VbVqVb3xxhu6cuWKy++T7ftbcnKyfeDDjFgsFg0dOlQtWrRwub2b9evXz/7vWbNmZWvd7Jw7Ujt//rzeeOMN3XHHHQoKClKxYsVUp04dDRkyRCdPnszR9tzs7bff1l133SXpxiMu06dPz1F9TZs2tQ/WfvToUU2ePDnNctvneezYsTlqB7kgb4ecAAq2SZMm2QfWqVChgrF69WqX6/rvv/+MNm3aGJKMihUrGqNHjzZmzpxpjB492j5AkSTjxRdfTLdu6sGp1q5da1SsWNF48803jdmzZxuvvfaafbCkl156KcP2U1JSjJdeesmQZJQsWdIYMWKEMXv2bCM8PNy49dZb7YNy/fvvvw7X/+uvv4zQ0FBDklG7dm3j/fffN2bOnGkMGDDAKFGihH2AKzkYcHL16tXGggULjJYtWzocqC0pKclYsGCBsWDBgiwHrXRmoK49e/YYZcuWNSQZHTp0MD7++GNjxowZxv/+9z+jSJEihsViMSZOnJjh+hnZsmWLsWDBAuP555+3x2CLe8GCBcbSpUvTlD916pRRv359Q5Jx6623GuPHjzdmzpxpDB482ChatKghyXj11VcNq9WaZTvr1683Spcubbz00kvGzJkzjREjRhj+/v4uDSrmzICThmEYY8eOtZd799137a8nJycbjz32mCHJKFWqlDF8+HBj1qxZxpgxY4yKFSsakow2bdoY//33X5r6FixYYLz44ov2OqdMmWIsWLDAiIyMTFOucePGhiSjUaNG6WJasGCB8fHHHxuSjBdeeMFYsGBBmuUXL140WrRokeY9nz17tvH6668bJUuWNCQZPXv2NK5cuZJmvaVLl6b7jH7wwQdGhQoVjNGjRxszZswwnnrqqWwN7mers06dOoYko2XLlmk+LwsWLDASEhLs25W6bJ8+fYyBAwcatWrVMt577z3j888/Nx544IF0/efOO+80JBnFixc3Bg8ebHz22WdGeHi4ce+99xqSjBIlShgbN25MF9vRo0eNBQsWGJMnT7bvj6+++sqoVq2a8cILLxizZs0ywsPD7QOBNWjQwLh69arD7ezbt68hyahWrZr9uPbee+8Zd911l73ub7/91l7e0ed76tSphr+/v/Hiiy8aM2fONCZMmGDUrVvX/hnbs2ePw7atVqvxyiuvGJKMokWLGoMHDzZmzpxpjB8/3n5cq1+/vnH69Ok060VGRqY75kyfPt1o3Lix0bZtW2Pq1KnG1KlT7TGMGTPGWLNmTZrPSJ06ddLtz5s/yzk9Fg0cONA+EFvfvn2NGTNmGB9++KHRsGFDo3379sabb76Z4wEnXe3P7vwMZaVJkyb2Nk6ePOnytmYW+zfffGNUr17d6Natm/Hpp58aH374oT32uXPnOvzcZuSDDz6wl+nRo4fx2WefGVOmTDFat25t1K9f35g6darLA046in3UqFHpjit//vmnsWDBgjSDB//www9GWFiY0adPH2PGjBnGO++8Y9xyyy3pzgXuPHetW7fOqF69uvH2228bn3zyifHII4/YP9PLly83rl27Zjz44IP2z/eIESOMwMBAQ5LxyCOPZPv9sVmyZIk9hhIlShgLFy5MF292ODPgZGpWq9UoUaKEIckoUqRIhgNeOpKdc4fN+vXr7fvSdqz59NNP7e+3v7+/sWjRouxudho3Dxx5+PBho1ixYoYkIyAgwDh48KBT62Xk9OnT9voCAwONc+fOGYZhGAcOHDCKFClivP/++zmKH7mD5AOQA+fPnzdKly6dZnTfO++80/joo4+y9QUoJSXFnnioX7++ERsbm2Z5cnKy0b17d0OS8fDDD6dbP/XFYr169Yxjx46lWf7ll18akgwvL68MD+62L6nlypVLl2C4cuWK0a5dO0OScddddxnXrl1Ls/zy5ctG1apVDUlGs2bNjMTExDTLt27dav+SmlniwJlR4nOafDh37pwREhJiSDLefPPNdMt/+ukn+8wkNycLnOVMAuTy5cv2i5/27dunu9jds2ePUbx4cUOSMXbs2CzbqVGjhrFjx440y999911Tkw+2C1hJxtatW+2v2/Zj2bJl032WYmNjjdtuu82QZLRr1y7dl71///3XXueXX36Zrs2zZ88aFovFkGRYLJZ0F42GYRhff/21Ick4ceJEmtdTUlLso4O3a9cu3Xv+77//2i8EhwwZ4nCbbdtWpkwZo27dusaFCxfSLG/fvn22L/SyM2K5rWz58uWNli1bGklJSWm2r1atWmn6T7169YzAwEBj//796eqyfeErU6ZMui+qNsePH7fvj3LlyhlLlixJs/yff/4xihQpYkgy5s+fn259W9KxQoUK6S5OrVar8fTTT2fYn1N/DosVK5bmM2YYN5KSts9gxYoVHX55t21j8eLF0yUorly5YrRv396QZNStWzfdccvGFkP58uWNYcOGpVn277//GhaLxRgzZoz9NWdnu8jpsejTTz+1xxYREZFm2fXr143u3bvb689J8iEn/dkwcv4ZcoZtdiFfX1+X1s9I6tjLly9vTJs2Lc3yTZs2pfv8ZnX8X7VqlX355MmT0y0fMmSIfb+5knxwFHtmx/H169fby1WoUMH4/vvv0yy3fX+w1eHuc9cdd9yR7jhum4mkatWqxtSpU40ZM2akWb5582aH557suHr1qlG7du00399q1KhhvPPOO8aBAweyXV92kw+GYdgTlZKMLVu2ZLtNZ88d+/fvtyeFHB1rZs2aZf+O+Msvv2Q7DhtHSQRb3Rl9f8xovYy8/fbb9vps292lSxejcuXKac6HyL9IPgA5tGXLljRfFFL/3XHHHcaYMWOMI0eOZFpH6hOxo18hDcMwzpw5Y3h7e2eZfHB0sk9OTrb/Cv7pp5+mW3748GHD29vbkGTMmTPHYfv79++3t/HVV1+lWfb+++/bl23fvt3h+ra7KvI6+WC72Klatapx/fp1h2UeffRRQ7pxB4crv4Q4k3yw3TXg7e1tHD161GEZ2wk5ozKp2xk6dGi65X/++afRp08fIyYmxuX4M/rS+sMPP9jLtGnTxv76hg0b7K/PmzfP4bqpv+w6uti44447DEnGY489lm7Z559/bvj6+tovyhx9nnv16mXUr18/3eu2Kbi8vLyMf/75x2Fsn3zyif09d3SXj+0zKindl3TDMIxFixY53BeZcSX5IMnYu3dvuuXTp083xo8fb/9/vXr1HN4tZRg3LlArVapkSDJmzZrlsEzqC5h7773XYZnWrVtnuL9sdx306NHD4bpHjhxxKvkwaNAgh+vv3bvXXiZ1AsAwblzU2o5rGV0E/fPPP/bP0rhx4xyWsdVftmxZh9MpDxo0KE1ywNnkQ06ORYmJifZfMTt37uxw3XPnzhk+Pj45Sj64oz/n9DOUlbi4OHv9pUqVyvb6mUkdu6M7rZKTk40+ffqkOW9ndfxPfSeho/NLYmJiniUfHPXTM2fOGH369LFfkLv73BUeHp5u+Y4dO+zL69ev7/B9sr2Po0aNynDbsnLo0CGjWrVqDr+/1axZ03jttdeM3bt3O1WXK8mHhx9+ONPzSVacPXfY+leNGjUyPNbY6qpRo4aRkpKS7VgMI+MkQo8ePezb+dZbbzm9niOJiYn285bFYrHfRXTz91LkX4z5AOTQ3Xffrf379+uVV15JN1XTn3/+qXHjxqlWrVrq0aOH/v33X4d12J6Fq1ixou655x6HZcqVK6dWrVqlG7X6Zg888EC613x9fe3Pfx45ciTd8hkzZiglJUXe3t7q0aOHw3pvvfVWVapUSZL09ddfp1lme8a5SpUqaty4scP1zZjSLLtiY2P1zTffSLoRT+oxC1Lr2LGjpBuDmNmmKnMnwzD06aefSrox3kW1atUclnvyyScl3ZhN4vPPP8+0Tkf77fbbb9e8efNUunRpl2ONi4vT+fPn7X8HDhzQ+PHj1bNnT0k3Bp388ssv7eVtn2VfX98M93nr1q3tU7w5eg60S5cukqSffvop3XPrK1asULt27dSkSRNJN57XTu369etatWqVvY7UbO95o0aNMpxxxLbvU1JS9O233zosI92Y/stWNrVHH31UEydOzHA9d6lVq5bD8WMGDBigESNG2P+/Zs0a+zRlN/P29tadd94pSdq4cWOWbTp6T6UbxwbJ8bHFNpDbzp07lZSUlG559erVtXbtWt1///2Ztp3RZ6l+/fqqW7euJKUbB+bzzz+3t2/rS47at42i/sknnzgcu8CmS5cuDqdTnjp1qrp27Zpp/DfL6bHo+++/t89m8OijjzpcNywsLMfPqLujP6fmymcoK5cuXbL/O6tZp6T0xzTbX2JiYqbrOTrG+vr6at68eRmet2+2fft2HThwQJLUs2dPh+NCBAQEODyP5wZH21iuXDnNmzdPderUMeXc5eg4WqtWLfu/bWOp3Kx27dqSbvQNV9WqVUt79+7VuHHjFBISkmbZkSNHNHHiRDVo0EBt27bVX3/95XI7GSlevLj93/Hx8W6vX7oxFpRtvI7HHnssw2ONbZ/9888/+umnn9waw4wZM+wzirz33nv6/fffXa4rICDAfk4zDEOvv/66GjdurCeeeMItscJ8JB8ANyhdurQ++ugjRUVF6dtvv1WvXr1UokQJ+3LDMBQREaGGDRtq3759adaNi4uzf6ls2LBhpu2sW7cuy1GRa9as6fB1WzxxcXHpltkGdqpYsaKuXr3q8IvZ+fPn7SOIpx748uLFi/YvU7YLGUfq1auXady5YfPmzfbB5apWrZrhdqb+QuDsIJ/Z8ffffysqKkqSMh1pvWbNmvZkU+rBtxyxfXl3t65duyokJMT+V7duXY0aNUo+Pj4aPHiw/vjjD5UrV85e3hZnnTp1VKxYsQzrtX3Wd+7cmebiQfr/Fyj//fdfmovixMRErVu3Tl26dLGX+eWXX9IM0LZp0ybFxsamu8hJ3c9q1aqV4b738/Ozr5PZvq9Zs6aKFCmS4XKzObu/y5UrlyYpmpCQoAsXLti3t2jRopLk1KCNrhxbbBe/J06cUIsWLbR06dI0AzxaLBa1b99eZcuWzbTtzI4ftuPOyZMn0wyg+csvv0i6MdhvjRo1Mlzf1gejoqLsxzJH3NnHcnosSj2gn5nHXXf059Rc+QxlJfXn21GC62YPP/xwmmOa7S+r6fncsf9za7+5KqttNOPc5egzkXqfZvSZsZX577//Mq0/K8WKFdPo0aN15swZ/fDDD3r22WdVpkyZNGXWr1+vJk2aaN26dTlq62ap+0pwcLBb67axHQelzPdZ6mVZ7bPsKlmypL744gt5eXkpJSVFTz/9dI4GVn388cfTJFbHjx/v1NS6yB9IPgBuFBAQoJ49e+qrr75STEyMfvjhBz300EP2g+KFCxfUp0+fNOucOHHCPgtF6os4V91894WN7Rc7RyOg26ZJPHHihMMvZba/P/74Q9KNqUVtvxCmHiE5swsI28jSeSn1dJADBgzIcDtT/5Jo+6JlVhy2XwwzYvtMZDWVZVZ3xLhq4sSJWrt2rf1vw4YN+uuvv3ThwgVNmTIlTZLN9ouilPV22ZanpKSkG5W7cePGCgsLk5T2zoY1a9boypUraZIPV65c0Zo1a+xlvv/+e4WGhtrvjLBJ3c+++uqrDPd96rgz2/dmvd/OcrZ9wzD0xRdfqE2bNipevLgCAwNVunRp+/bafn13ZtR4V44tPXv21GOPPSZJ2r17t7p3764yZcqod+/eWr58ua5everUdqT+nN0s9XEz9fHI1meyOq6m3ueZ9TN37vOcHotS9xmzjrvu6s+pufIZykpQUJB9/UuXLmV694okTZo0yX48S33XljPt5FRu7LecyGobzTh3pU6w2aS+kHS0XJK8vG5cwrhrVhcfHx917txZM2fO1NmzZ7VhwwY9/fTT9iRzUlKSnnrqqRzNsHEz23SfklSqVCm31Zuas/vM2eOgq9q0aaPXXntN0o27K1555ZUc1de+fXv7vzO6kxH5U979bAMUckWKFFHnzp3VuXNnbdiwQQ888IASExO1e/du7du3z37LdEJCgn0df3//HLdrOyFnhy2GGjVq2G+pzIphGLJYLGmy15nFn9Gtfrkp9Xv99ttv6+67785yHWenTXQ1jqz2uW15VrdkurLfndGoUaN0U59mxJXtktJvm8Vi0QMPPKDZs2fr+++/10cffSTpxiMXDRo0UIUKFVShQgVVrlxZJ0+e1IoVK9StWzdJN5IPDz74YLr3I3VsPXr0UP/+/bPcnsx+iTLr/XaWM+1fv35d3bt31/fffy8fHx/17dtXzZs3V9myZe1f7j/88MM0yZuctnkzi8Wib775Ro888oimTp2qjRs3KjY2VgsWLNCCBQsUGhqqN998U4MGDcq0nsyOH6k/S6n3s+3fOfkspubOfZ7TY1FuHHfd1Z9TM6vfNGjQQNu2bdPVq1d14sSJNNNM3iz1L7zZmYbYHbHn9/NlVttoxrkrq1+s8+IXbS8vL7Vq1UqtWrXSsGHDdN999ykyMlKRkZFau3Ztho8PZYdhGPY7YX18fDKdhj0nnN1nzvbhnHj33Xe1bt067dy5UzNnztRDDz2kBx980JS2kH+RfAByQevWrTVkyBCNHz9eknTw4EH7iSb1L0HuzKhnR2BgoGJjY+Xt7Z0mm+yM1L9KZBa/7dnrnLD9cu2qm2/lzO62ukt29rltuVm3ZLqTK9slOd62Ll26aPbs2frnn3908OBB1apVSytXrtSLL75oL/Pggw9q+vTp+uGHH2S1WnXkyBEdOXLE4e3TqWMrXbp0nu373DR9+nT7nSNff/21w+e5s/PLb0488sgjeuSRR3TixAktWrRICxYs0N9//63o6GgNHjxYMTExevvttzNc3zYmjSOpP0upj0e241pOP4tmyOmx6Objbka/WOfkuOvO/my2Nm3aaNu2bZKkXbt2ZZp8yEu5eb40Q2E9d2Wmfv36GjdunF544QVJN76/uSP5sGfPHvtFfpMmTTJ9rCknnN1nudGHfXx8tHDhQjVs2FCXL19Wv379TBlLA/kbj10AOTBx4kSFhYU5deuwbVAzSWluC61atar914azZ8+6P0gn2J6HPn36dJa3rN6scuXK9l8mzp07l2E52+BombHd3pjRbZQ5zcanfu47o8E/c0PqOLLa57blBeG2wqCgIPugXVlt15kzZyTd+IWvcuXK6Za3b9/ePv7CypUrtXXrVsXExKT50mf7d0xMjH7//Xd9//338vPzU4cOHdLVl7qf5eW+z03fffedpBu3P2c0kGxuq1KlioYPH66//vpLK1euVMmSJSVJ77//fqbP+2f2XHfqz1rqi05bP3P2syjlXj/L6bEo9V0QOT3uZsSd/dlsffv2tffvpUuX5nr7zsqN/WamwnTuWrRokcLCwpx6xCCj7285MWvWLPu/n3vuObfU6Yiz+yy3joO1atXS5MmTJUnR0dGmbjvyJ5IPQA4kJCQoKipKx44dy7Js6l/tK1asaP93YGCg7rrrLkk3BuvKzAsvvKBHH33U7XdItGnTRtKNW0Izy0L//vvvKlKkSJoLwFtuucU+2vzu3bszXHf//v1ZxmH79S6jC43Dhw9nWUdmmjdvbn822PYrWUY6d+6sIkWKmDLg5K233mof0yCzff7PP//YEy62fZTf2eI8ePBgpqPH2wZ/vOuuuxw+B16sWDG1bdtW0o1HKVasWKFy5cqluWW6devW9l8SV6xYoRUrVqht27YOf0FK3c927NiR6V00EyZMUJEiRXJl1grJvNuKo6OjJWX+nG/qW3LNEBERoc8++8zhsgceeEDvvPOOJOnatWuZ9u/Mjh+2407VqlXTjO9g+yzGxcVleoFh+yyGhYWpTp06GZZzljP7M6fHotSzK+T0uJsZd/Vns9WsWVOPP/64JGnJkiVpxv7IT3Jrv5mlMJ27kpKSFBUV5dQMKxl9f3PVgQMHNHv2bEk3PrsZzcaTFWeONanf/8z2WerZdMzeZ88995z9Ucnly5enm0ENhRvJB8ANFi1alGWZ1atXS7oxqNDN01EOHDhQ0o07DzKa8u7PP//UjBkzdPbsWbeMDZHaCy+8YL+l+ebp6lKbPXu2UlJS7F/ybGyDaJ48eTLDi/UlS5ZkGYdteq1jx445vPth5cqVWdaRmRIlSthP8qtXr85wQMGTJ09qzZo1ql69uv2C1Z0sFov98YGtW7fq+PHjDsstXLhQ0o1fE59//nm3x2GGAQMGSJKSk5Mz3Oe//fab/VcW22ffEVuSa/PmzVq0aJEefPDBNF+2/Pz8dN9990mSvvnmG23ZsiXT22FtbZ0/f14//PCDwzLXr1/X/PnzZbFY7NOJms0240TqWSCuXLmiOnXq6Nlnn3W5XtuAdkePHnWYbDEMQ3v27HG5fmesWLFCo0ePznB56kH3MhtUMqPP0r59++wzVPzvf/9Lsyz1cc3Wl252/Phx+7RvAwYMcEsiyNH+lG7M/NGpUydJOT8WPfjgg/a7Rmx3uNwsKipKmzZtytG2uLM/m+3jjz9WpUqVdOXKFT3//PNuG4jQne666y57sn7x4sUOf0W/cuVKhsenvFYYz13Z+f7m4+Ojdu3a5ai96OhoPfbYY0pOTlbRokW1ePFil2dOcubcceutt9qTCYsWLcrwkR7bPqtRo4b9vGqmWbNm2RPjOf1hCQULyQfADd5//32tWrUqw+Vff/21Pcs9bty4dCeap556yv4r70svvZTu8YLExET7rWlvvvmmO0OXJFWrVk1vvfWWJGnatGlppmayWbx4sWbPnq2GDRvaR6+3GThwoP125yFDhqSb7mzHjh2aM2dOlnHcf//9slgsSkpKSvdF99ixY4qIiMjWdjkyfvx4lSlTRomJierXr5+Sk5PTLL906ZJ69eqllJQUU6dvGjZsmG699ValpKSof//+6R7d2bdvn/2X99GjR2c4n3p+06pVK/tF4MiRI9NMfSjdeHTGNrhgu3bt9NRTT2VYl20gqpSUFJ08edJhYsH22smTJ5WSkpLp4FWp+9mgQYPS3GYq3fh167XXXtOBAwc0YMCAXLt93DaVXOrb7/fu3atDhw7laOA526MWFy9etM+LntqkSZNMGdX8ZjExMZo6dWq61w3D0IIFCyRJd9xxR4ZT6kk3bqXfvn17mteSk5P10ksvSbrxa+TNo6enPq59+OGH2rt3b5rlV69eVf/+/ZWSkqK6devaR2LPKdt2nDp1yv5aZGSkfv/99zRJoJwci/z9/fXee+9Jkn788UctW7YszbpWq1WDBg3K8S3i7uzPZitZsqR+/PFHVahQQWvWrFHXrl0zfbTht99+S3Muy62BDSdNmiTpxrSVU6ZMSbf8jTfe0MWLF3MlFlcUtnPX/PnzM/1+sn79eoWHh0u68f3GNuW4K1atWqXmzZtr3759KlmypJYvX67bb7/d5fqcPXdMnz5dRYsW1ZEjR+x3m6U2b948rV+/Xl5eXpo5c2auDKhcsmRJe6IfnoUBJ4EcKFeunHx8fHTlyhV17txZrVq1Uvv27VWuXDkZhqFTp05pzZo12rp1q7y9vTVmzBiHvwx5eXkpIiJCXbt21YYNG1S/fn317dtX5cuX18mTJzV//nydOnVKb7/9tjp27Ghfb+/evdq7d6+2bt1qf802gFy3bt1UrFgxrV27VlFRUfZf1o4dO6Yvv/xSxYsXV9euXe3rjR49WvHx8froo4903333qVevXmrRooUSExP122+/admyZapZs6YiIiLSJU+KFi2q77//Xm3atNHWrVvVsGFDPfPMMypVqpR2796tuXPn6sMPP7Rv+9atW1WkSBFVrlxZLVu2tNdTtWpVDRgwQNOnT1ffvn21c+dO3XrrrTp+/Ljmz5+vuXPn2n91sNVRrVo1NW/eXFu3btXRo0cdvhfNmze3fwEqU6aMfv75Z3Xu3Fk//PCDbr/9dj399NP2Zz/nz5+vyMhIhYeHq3v37tn6PGQWQ+p9It2YlnXNmjXq1KmT1qxZowYNGqh3794qXbq09u3bp1mzZuny5ct65ZVX7BdQNpnt95v3a3YsW7ZMCQkJaepdu3at/YKjQ4cO6eY/d+Szzz5TUlKSFi1apDvvvFPPPfecatasqdOnT2v27Nn6999/1bp1ay1ZsiTTLx4VK1bUnXfeqT179iggIMDhL04PPPCAvLy8ZLVadeedd2Z6S2xG/axOnTqKjIzUsmXLtHPnTj300EPpBq209SPbI1ZRUVH297x69epOzVaQkSeffFJTp07Vli1bNHz4cFWqVEnTp0+Xl5eX/a4i2765uR9L0u233+7wC+yLL76olStXau3atRo1apQ2bdqk9u3by2Kx6Oeff9batWtVpUoVnThxwr49ts9PVFSU1q5da59q0fYenD592t6fbJ9D20X95cuX0x1/bLfgDxkyRD/88IPatGmjkJAQRUdHKyIiQn/88YfCwsL01VdfZfoezZw5U/fff7969eqlhg0b6uLFi5o3b57279+vUqVK6fvvv3d4u//o0aMVFxenyZMnq3nz5urXr59uv/12nT9/Xl988YX279+v2267TatWrVJAQIB9vcuXL6cbO8B2zJEy7ws9evTQqFGjdOrUKT3//PNq2LChvvjiC1mtVj3zzDP2cjk9Fr3wwgvat2+fpk+frkceeUR9+vTR3Xffrbi4OH399de6fPmyBgwYoKlTp6bZN126dMnWgHKu9md3fYayo169evr99981YMAArVixQjVr1lTnzp3VuHFjlS5dWgkJCTp8+LDWrVtnv2OmfPnyGjp0aJoZcDKLPaPYnD0HdezYUR988IFef/11vfLKK9q8ebPat2+vq1evaunSpTpw4IDeeOMNjRs3Lk0dbdq0yXJ6S+nGsWHLli0Zxm6LxVbO9j5IN44zpUuXlqQME0lmnbts7+nNg+Da+p3tOJfRsTi7576QkBAFBAQoKSlJ/fr10yeffKLOnTurUqVK8vb21rlz57Rhwwb9/PPPMgxDzz//vN5///109djiTZ3ctL2PVqtVsbGxOn78uH766ScdPHhQFotFXbt21eTJk3M8m5Yz5w7pxt0PP/zwg7p166Zx48Zp69ateuihh1SkSBH98ssv+vbbb+Xv76958+Y5PbuVTepjpe09sG1/mTJlHI7BZNOuXTu99tpr+vDDD11uK3V7GZ0Lkc8YAHLk4sWLxldffWW88MILRrNmzYwyZcoYfn5+ho+Pj1GqVCmjadOmxrBhw4wDBw5kWZfVajW+/PJL47777jNCQkKMIkWKGKGhocbDDz9s/PLLL+nKjxkzxpDk8O/48eOGYRhGq1atHC6vXLmywxg2b95sPPHEE0aFChUMX19fIzAw0GjSpIkxYcIE4/Lly5nGHxUVZbz00ktGpUqVDF9fXyM0NNR44IEHjHXr1hmGYaSLoUePHunqSElJMT788EOjbt26hp+fn1G6dGmjW7duxp49exzW8eSTTxqGYRh9+vTJ8L2YO3duunYuXbpkjB8/3mjcuLERFBRk+Pj4GBUqVDCeeOIJY+vWrZluZ0YyiyH1PkktOTnZmDZtmtGyZUvjlltuMXx9fY3y5csbjz/+uLFp0yaH7WS23zPar86oXLlypvGvX78+W/V9//33xsMPP2yUKVPG8PHxMUqXLm106NDBWLBggWG1Wp2q46233jIkGV26dMmwzN13321IMt566y2n6nTUz0qXLm3cd999xsKFCx2uk1E/kmT06dPHqXYzs3jxYqNRo0aGv7+/UaJECaN58+bGmjVr7Msz2zdjxozJsN5r164Z//d//2fcddddRtGiRQ1fX1+jcuXKRu/evY29e/em+8zaPj/r16/Psj85c/yx1TVo0CCjYcOGRokSJQxvb28jMDDQaNSokTFmzBjjwoULDmOfO3euvT7DMIw9e/YYjz32mFGuXDnD19fXqFixotG/f3/j7NmzWb6/mzZtMp544gmjfPnyhq+vr3HLLbcY99xzjzFt2jQjOTk5Xfnjx4/nqC+sX7/euOeee4yiRYsaxYsXNxo2bJjhZyunx6LvvvvOuPfee43AwECjaNGixq233mqMGjXKuHTpksN9tG/fvizrdCS7/dmdnyFXbNu2zRg6dKjRoEEDez8PCgoyKlWqZHTo0MEYPny4sWHDBiMlJSVbsWcUW3bPQevWrTM6duxo3HLLLYa/v79RvXp1Y9CgQUZUVFSaz77t7/vvv3dqux2t6yiWrMplxd3nLtt7mtVxLrvfaTKTkJBgREREGIMHDzZatmxplCtXzvD39zeKFCli3HLLLUaDBg2MAQMGGNu3b8+wjszeQ0lGYGCgUaVKFaNDhw7Gu+++a+zfvz/bcWYmq3NHajExMcaoUaOM+vXrG8WKFTMCAgKMWrVqGYMGDTJOnDjhUvuZHStbtWqV5frJyclGw4YNnerzWR2XMzsXIv+wGIabhm0FAABwk3nz5tnvFOCrCgAABR9jPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAEzFbBcAACDfcHbWAAAAULAw4CQAAMg3/ve//2n+/PkOl82dO1f/+9//cjcgAADgFiQfAAAAAACAqXjsohCxWq06e/asAgMDZbFY8jocAAAAAEAhZxiGLl26pHLlysnLK+NhJUk+FCJnz55VxYoV8zoMAAAAAICHOXXqlCpUqJDhcpIPhUhgYKCkGzs9KCgoj6PJmNVqVUxMjEJCQjLNjAGFFX0Ano4+AE9HH4Cnow8ULvHx8apYsaL9ejQjJB8KEdujFkFBQfk++XDlyhUFBQVxsIFHog/A09EH4OnoA/B09IHCKatH/9nTAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gEAAAAAAJiK5AMAAAAAADAVyQcAAAAAAGAqkg8AAAAAAMBUJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmIvkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gEAAAAAAJiK5AMAAAAAADAVyQcAAAAAAGAqkg8AAAAAAMBUJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmIvkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5kE9cunRJlStXlsVi0dixY/M6HAAAAAAA3MYjkw+rV69Whw4dVLJkSRUrVkwNGzbUtGnTZLVaXarv3Llz6t+/vypVqiQ/Pz9VqlRJ/fv319mzZ52uY8SIEfr3339dah8AAAAAgPzM45IPEyZMUKdOneTv76+1a9dq9+7d6tChgwYNGqSuXbvq+vXr2apv//79ql+/vpYvX67Jkyfr4MGDmjx5spYtW6bbb79d+/fvz7KOTZs26dNPP1WlSpVc3SwAAAAAAPKtInkdQG7auHGjRowYobp16yoiIkI+Pj6SbiQkYmNjNXPmTE2YMEFvvPGGU/Vdv35dPXr00IULF7R582Y1b95cklS1alWFhYXpnnvu0SOPPKK9e/eqSBHHb3VycrKeffZZPfroo/L399f8+fPds7EAAAAAAOQTHnXng20shUGDBtkTDzZDhw6VJH3wwQdKSkpyqr6vv/5aBw8eVNOmTe2JB5sWLVqoWbNmOnDggBYtWpRhHePGjVNMTIymTp2ajS0BAAAAAKDg8JjkQ0xMjDZs2CBJateuXbrltWvXVoUKFRQfH69Vq1Y5Ved3332XYX2S1L59e0nKMPmwZ88effjhh5o8ebJCQ0OdahMAAAAAgILGY5IPf/zxh6xWq3x8fFS9enWHZerUqSNJ2rFjh1N1btu2Lc162akvJSVF/fr1U9u2bdW7d2+n2gMAAAAAoCDymDEfjh49KkkKCQmRl5fjnEvZsmXTlM1MQkKCoqOjJUlhYWGZ1hcZGanExEQVLVrUvmzixIk6dOiQlixZ4vxG3CQ5OVnJycn2/8fHx0uSrFaryzN35Aar1SrDMPJ1jICZ6APwdPQBeDr6ADwdfaBwcXY/ekzywXZhHhAQkGEZW3IgLi7O6foyqzN1siEuLs7+/yNHjmjs2LF6//33VaVKlSzbysj48eM1bty4dK/HxMToypUrLtdrNqvVqri4OBmGkWEiCCjM6APwdPQBeDr6ADwdfaBwuXTpklPlPCb5kF8YhqFnn31Wd955pwYNGpSjukaOHKlXX33V/v/4+HhVrFhRISEhCgoKymmoprFarbJYLJnehQIUZvQBeDr6ADwdfQCejj5QuPj7+ztVzmOSD7aL8cxmskhMTJQkBQcHO11fZnXa6ktd5+eff67ff/9du3btynFH8/Pzk5+fX7rXvby88n0ntlgsBSJOwCz0AXg6+gA8HX0Ano4+UHg4uw89Zk/bBpmMiYnJ8JmUc+fOpSmbmeLFi9tnqIiMjMy0vrCwMPsjF4sWLdL169fVtGlTFS9ePM3fV199JUl677337K/1798/G1sJAAAAAED+4zF3PjRq1EheXl66du2ajh49qpo1a6Yrc/DgQUlS48aNnaqzSZMmWrlypX09Z+r78ssvM7xTYvjw4YqIiFD//v01ePBgScrXj08AAAAAAOAMj7nzITQ0VK1atZIkrVu3Lt3yQ4cO6fTp0woMDFTHjh2dqrNnz54Z1idJP//8c5pyklS+fHnVqFHD4V9gYKAkqWTJkvbXbHdXAAAAAABQUHlM8kGSxowZI0maNm2arl+/nmbZpEmTJEnDhg1LM0vFrl27VLduXfXs2TPdOk888YRq1aqlbdu2acuWLWmWbdmyRb///rtq166tJ554wozNAQAAAACgQPCo5EOrVq0UHh6uv//+W926ddOuXbt0+PBhjRgxQjNnzlTnzp01cuTINOvMmTNHBw4c0OLFi/Xnn3+mWebj46MlS5aoZMmS6tGjhyIiInTixAlFRESoR48eKlmypBYvXqwiRTJ+uuXq1auKjIxUZGSk/XGMhIQE+2spKSnufyMAAAAAAMhFHpV8kKRRo0bpxx9/VFJSktq2basGDRrop59+0pQpU7RixYp0iYKePXuqdOnSuvfee1WvXr109d12223au3evunTpoiFDhqh27doaMmSIunTpor179+q2227LNJ4tW7aobNmyKlu2rL799ltJN+7CsL126tQp9208AAAAAAB5wGIYhpHXQcA94uPjFRwcrLi4uHw9UKXValV0dLRCQ0OZWgceiT4AT0cfgKejD8DT0QcKF2evQ9nTAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gEAAAAAAJiK5AMAAAAAADAVyQcAAAAAAGAqkg8AAAAAAMBUJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmIvkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gEAAAAAAJiK5AMAAAAAADAVyQcAAAAAAGAqkg8AAAAAAMBUJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmKuLuCg3D0Jw5c7R7925VrlxZzz//vIKDg93dDAAAAAAAKCBcvvNhx44d8vb2lre3tz755BP7648//rief/55ffLJJxo+fLiaNGmi+Ph4twQLAAAAAAAKHpeTD99++61KliypBQsWqFevXpKkX375Rd99952KFSumd955R2+99ZbOnDmj6dOnuy1gAAAAAABQsLj82MVPP/2kCRMm2BMPkjRr1ixZLBZNnjxZ/fr1kySFhIRozpw5GjlyZM6jBQAAAAAABY7Ldz78888/uvfee+3/v379ulatWqXAwEA9/fTT9tfbt2+vkydP5ixKAAAAAABQYLmcfPDz85NhGPb/r127VnFxcXrooYfk6+ubplxiYmLOogQAAAAAAAWWy8mHqlWr6rfffrP//+OPP5bFYtHjjz+eptyBAwcUFhbmeoQAAAAAAKBAc3nMhyeffFJDhgzRn3/+qX///VerV69WpUqV1KlTJ3uZ//77T++++66aNWvmlmABAAAAAEDB4/KdDwMGDFCDBg00bdo0rVixQgEBAfYBJyVp3LhxqlSpkrZt26aePXu6LWAAAAAAAFCwuHznQ0BAgH777Tf99ttviomJ0d13363y5cvbl7dv315VqlSRJHXu3DnHgQIAAAAAgILJ5eSDJFksFrVq1crhshYtWqhFixY5qR4AAAAAABQCLj924azz58+rWrVqZjcDAAAAAADyKdOTDykpKTp58qTZzQAAAAAAgHzK6eTDwIEDFRQUpAkTJtxY0ctL3t7eWf6VK1fOtOABAAAAAED+53TyISIiQgkJCVq1apX9NcMwnPoDAAAAAACey+kBJ9euXavVq1fr0UcflXRjsMlz584pNDQ00/UiIyPTzIIBAAAAAAA8i9PJh9tuu0233Xab/f+VKlWSt7d31g0UKaJKlSq5Fh0AAAAAACjwXJ5q8/jx406VK126tNNlAQAAAABA4WPKbBfx8fH6448/FBUVZUb1AAAAAACgAHE5+RAVFaW+ffuqb9++Wr9+vf31b775RhUqVFDTpk1Vvnx5DRs2zC2BAgAAAACAgsnl5MPixYs1b948nTlzRgEBAZKkU6dOqV+/fkpISFD16tVVqVIlffTRR1q5cqXbAgYAAAAAAAWLy8mHpUuX6oUXXtBPP/2kZs2aSZJmzJihpKQk9e7dW4cPH9axY8f02GOPadq0aW4LGAAAAAAAFCwuJx/27Nmj559/Ps1r3333nby8vPTOO+/YXxsyZIj279/veoQAAAAAAKBAczn5cPnyZZUuXdr+/0OHDunw4cNq3ry5KlasaH+9XLly+W7gydWrV6tDhw4qWbKkihUrpoYNG2ratGmyWq0u1Xfu3Dn1799flSpVkp+fnypVqqT+/fvr7NmzGa7zyy+/6Nlnn1WdOnUUEBCggIAA1apVS/3799fhw4dd3TQAAAAAAPIdl5MPFSpU0D///GP//7x582SxWPToo4+mKRcVFaWgoCDXI3SzCRMmqFOnTvL399fatWu1e/dudejQQYMGDVLXrl11/fr1bNW3f/9+1a9fX8uXL9fkyZN18OBBTZ48WcuWLdPtt9/u8K6P559/Xu3atdNvv/2mMWPGaM+ePdqyZYueeuopzZs3T7fffruWLVvmpi0GAAAAACBvFXF1xXvuuUcjR47Up59+qpMnT+rjjz+Wr6+vnnjiiTTlFi5cqHr16uU4UHfYuHGjRowYobp16yoiIkI+Pj6SbiQkYmNjNXPmTE2YMEFvvPGGU/Vdv35dPXr00IULF7R582Y1b95cklS1alWFhYXpnnvu0SOPPKK9e/eqSJH//1ZHR0crKChIv/zyiypUqGB/vUGDBipZsqQGDRqkPn366NixYypVqpQb3wEAAAAAAHKfy3c+jBw5Un/99Zfuuusu9ejRQ4mJiRo8eLD9YvmXX37R008/rSlTpuihhx5yW8A5MXbsWEnSoEGD7IkHm6FDh0qSPvjgAyUlJTlV39dff62DBw+qadOm9sSDTYsWLdSsWTMdOHBAixYtSrfu/fffnybxYPPcc8/Jy8tL8fHxWr16tVNxAAAAAACQn7mcfKhVq5Y2b96sp59+Wp06ddKkSZP03nvv2Zfv2LFDp0+f1r333pvuUYy8EBMTow0bNkiS2rVrl2557dq1VaFCBcXHx2vVqlVO1fndd99lWJ8ktW/fXpLSJR+++uorffHFFw7X8fPzs4+lcfHiRafiAAAAAAAgP3P5sQtJuuOOOzRv3jyHy4YPH67hw4fnpHq3+uOPP2S1WuXj46Pq1as7LFOnTh2dPn1aO3bsUPfu3bOsc9u2bfb1MqpPupGISa1YsWIZ1nnt2jVduHBBklS/fv0sYwAAAAAAIL/LUfLBGVeuXNG3336r3r17m91Upo4ePSpJCgkJkZeX4xs+ypYtm6ZsZhISEhQdHS1JCgsLy7S+yMhIJSYmqmjRolnW+9NPPyklJUX16tVTq1atMi2bnJys5ORk+//j4+MlSVar1eWZO3KD1WqVYRj5OkbATPQBeDr6ADwdfQCejj5QuDi7H01PPsTFxemZZ57J8+SD7cI8ICAgwzK25EBcXJzT9WVWZ+pkQ1xcXJbJB6vVqvfff19FihTRjBkzZLFYMi0/fvx4jRs3Lt3rMTExunLlSqbr5iWr1aq4uDgZhpFhIggozOgD8HT0AXg6+gA8HX2gcLl06ZJT5XKcfNi1a5d++OEHnTlzRlevXk233NnBGyFNnDhRmzdv1v/93/+lG8DSkZEjR+rVV1+1/z8+Pl4VK1ZUSEhIvpre9GZWq1UWiyXTu1CAwow+AE9HH4Cnow/A09EHChd/f3+nyuUo+fDSSy/p008/lWEYslgsMgwjzXLba1n9gp8bbBfjmSVDEhMTJUnBwcFO15dZnbb6nKnz66+/1ogRIzRu3DgNGTIky/alG4NT+vn5pXvdy8sr33dii8VSIOIEzEIfgKejD8DT0Qfg6egDhYez+9Dl5MMXX3yhTz/9VP369VPTpk310ksv6e2331ZoaKgk6cyZM1q8eLEOHjyoiRMnutqM29gGmYyJiZHVanX4Bp07dy5N2cwUL15coaGhio6OVmRkpMMytvrCwsIyfeTiu+++U58+fRQeHq6RI0dm2TYAAAAAAAWJy8mHmTNnaujQofrggw8kSS+//LJ69OihatWq2cuMHDlSjzzyiM6cOZPzSHOoUaNG8vLy0rVr13T06FHVrFkzXZmDBw9Kkho3buxUnU2aNNHKlSvt67lS3xdffKF+/fpp0qRJGjx4sFPtAgAAAABQkLh8j8u+ffv0+OOPZ1rGYrFo+PDhioiIcLUZtwkNDbXPHrFu3bp0yw8dOqTTp08rMDBQHTt2dKrOnj17ZlifJP38889pyt3s008/Vd++ffXJJ5+kSzxMmjRJkyZNcioOAAAAAADyM5eTD1evXlVISIj9/76+vjp//ny6csHBwTp58qSrzbjVmDFjJEnTpk3T9evX0yyzXegPGzYszSMSu3btUt26ddWzZ8906zzxxBOqVauWtm3bpi1btqRZtmXLFv3++++qXbu2nnjiiXSxfPTRRxo8eLDmz5+v5557Lt3yffv2ad++fa5tKAAAAAAA+YjLyYdKlSrp+PHj9v+HhYXZf+lPbeXKlfL29na1Gbdq1aqVwsPD9ffff6tbt27atWuXDh8+rBEjRmjmzJnq3LlzujEX5syZowMHDmjx4sX6888/0yzz8fHRkiVLVLJkSfXo0UMRERE6ceKEIiIi1KNHD5UsWVKLFy9WkSJpn255//33NXToUBUtWlSTJ0/WXXfdle5v5cqVpr8fAAAAAADkBpfHfLjzzjv17rvvauXKlfL19dW9996r8PBw+fj4qEOHDpKkH3/8UeHh4U6PoZAbRo0apQYNGmjSpElq27atrl27plq1amnKlCkaOHBgukRJz549tWjRItWtW1f16tVLV99tt92mvXv32mepiI6OVmhoqLp06aIxY8aofPny6db55ptvJN2YGnPnzp3mbCgAAAAAAPmExbh5fkwnLV68WI8++qjq1aunffv26ciRI7rzzjt15cqVdGV//PFH3X///TkOFpmLj49XcHCw4uLi0kwFmt9YrVZ7koapdeCJ6APwdPQBeDr6ADwdfaBwcfY61OU9/dBDD2nr1q1asGCBJKlmzZpatWqVbr31VhmGIcMwVLlyZX399dckHgAAAAAA8GAuP3bh6+urpk2bpnnt3nvv1V9//aWLFy/KarWqdOnSOQ4QAAAAAAAUbC4nHzJTsmRJM6oFAAAAAAAFkFuSD7t27dKvv/6q06dPS5IqVKigVq1aqWHDhu6oHgAAAAAAFGA5Sj4cPXpUzzzzjDZv3uxweYsWLTR37lxVr149J80AAAAAAIACzOXkw6lTp3TPPfcoKipK3t7eqlatmkJCQmQYhmJiYnT8+HFt2rRJLVu21LZt21SxYkV3xg0AAAAAAAoIl2e7ePPNN3Xx4kWFh4crOjpahw4d0qZNm7R582YdPnxY0dHRevfdd3XhwgW99dZb7owZAAAAAAAUIC7f+bB69Wq99957Gjp0qMPlt9xyi0aNGiVfX199+OGHLgcIAAAAAAAKNpfvfLh06ZK6d++eZbkePXooPj7e1WYAAAAAAEAB53LyoWrVqkpMTMyyXFJSksqXL+9qMwAAAAAAoIBzOfnQt29fzZgxI8tyn3/+uR555BFXmwEAAAAAAAWcy8mHoUOH6vLly+rZs6d+/fVXRUdH25dFRUVpw4YNevTRR7Vv3z6NGTPGLcECAAAAAICCx6kBJ729vTNdHhERkenywMBAXb9+3fmoAAAAAABAoeFU8sEwDLPjAAAAAAAAhZRTj11YLBZFRkbKarVm++/s2bNmbwMAAAAAAMjHnEo+BAUFycvLteEhvL29FRQU5NK6AAAAAACg4HPqsYvY2FiXGwgJCcnR+gAAAAAAoGBzebYLAAAAAAAAZ5B8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQuJx+++OILJScnZ7g8OjpaYWFh6tWrl2JiYlxtBgAAAAAAFHAuJx+eeeYZxcXFZbi8WLFieuyxx/Tbb7/p5ZdfdrUZAAAAAABQwLmcfDAMI9PlxYoV05QpU7RkyRKtW7fO1WYAAAAAAEABl6MxHywWS5ZlfHx89N9//+WkGQAAAAAAUIAVcbbg8uXLtXz58jSvDR48WAEBARmuc/nyZW3atEm1atVyPUIAAAAAAFCgOZ182LNnj+bNm5fmtUWLFmW5nq+vr6ZPn57twAAAAAAAQOHgdPKha9euqlKliqQb4z3069dPkydPVnBwsMPyXl5eKlGihJo1a6aQkBC3BAsAAAAAAAoep5MPd9xxh+644w77//v27avHH39coaGhpgQGAAAAAAAKB5cHnDx+/Dh3NAAAAAAAgCy5nHyoXLmyU7NdxMbGqm3btq42AwAAAAAACrgcTbXpjKtXr+rXX381uxkAAAAAAJBPOT3mw4QJE/TVV1/ptddeU+/evVWtWjWn1ktJSXE5OAAAAAAAUPA5nXz44IMPFBsbq88++0y9e/fWiRMnnG7EmcczAAAAAABA4eR08mHRokVatmyZ+vXrZ39tx44dKl26dKbrRUdHq1mzZq5HCAAAAAAACjSnkw/t27dX+/bt07xWsWLFLKfa9Pf3l2EYrkUHAAAAAAAKPKeTDzezWq1OlStTpozTZQEAAAAAQOFj+mwX8fHx6tu3r9nNAAAAAACAfMr05ENSUpLmz59vdjMAAAAAACCfcvmxC0natWuXPvvsM+3Zs0exsbEOp9Vkqk0AAAAAADyby8mHVatW6eGHH9b169ezLMtUmwAAAAAAeC6Xkw+jR49WUFCQxowZo6ZNm6pkyZLy8fFJV46pNgEAAAAA8GwuJx/+/vtvffnll+revXum5YoVK6ZKlSq52gwAAAAAACjgXB5wslixYmrUqFGW5UqXLq3jx4+72gwAAAAAACjgXE4+3Hfffdq/f3+W5a5cuaIvvvjC1WYAAAAAAEAB53Ly4YMPPtD48eO1bdu2TMvFxcXpmWeecbUZAAAAAABQwLk85sNbb72l4OBgNW/eXLVr11aNGjVUqlSpdDNbJCUl5ThIAAAAAABQcLmcfJg3b54sFosMw9DBgwd18ODBDMsy1SYAAAAAAJ7L5eSDJE2ePFnBwcGZlvnvv//06quv5qQZAAAAAABQgOUo+fD4448rNDQ00zJRUVF65ZVXctIMAAAAAAAowFwecHLjxo0qVapUluVCQkKYahMAAAAAAA/m8p0PLVq0cLpsSkqKq80AAAAAAIACzuU7H5wVExOjmjVrmt0MAAAAAADIp1y+8+G3335zqtyFCxdcbQIAAAAAABQCLicfWrduzRSaAAAAAAAgSzma7aJZs2by9fVN85phGIqJidGpU6eUkJCgpk2byt/fP0dBAgAAAACAgitHyYelS5dmONXmtWvX9O2332r+/PlavHhxTpoBAAAAAAAFmMsDTo4ZM0bFixfPcLmPj4+efPJJ9e3bV8OHD3e1GQAAAAAAUMDlKPlQtGjRLMvdfffdWr58uavNAAAAAACAAs70qTaPHDmi2NhYs5sBAAAAAAD5VI7GfMiIYRiKjY3VH3/8ocGDB6tGjRpmNAMAAAAAAAoAl5MP3t7eTpUzDENz5851tRkAAAAAAFDAuZx8MAwjw2VeXl4KDg7WnXfeqQEDBqhHjx6uNgMAAAAAAAq4HD12ERkZmeFUmwAAAAAAAFIOBpxs1KiRfHx83BlLrlm9erU6dOigkiVLqlixYmrYsKGmTZsmq9XqUn3nzp1T//79ValSJfn5+alSpUrq37+/zp49m+l6ycnJCg8PV7169RQQEKCQkBB17dpV27ZtcykOAAAAAADyI5eTDzt27NAtt9zizlhyxYQJE9SpUyf5+/tr7dq12r17tzp06KBBgwapa9euun79erbq279/v+rXr6/ly5dr8uTJOnjwoCZPnqxly5bp9ttv1/79+x2ul5CQoJYtW2rs2LHq27ev/vrrL0VERCgqKkotWrTQwoUL3bG5AAAAAADkOVNmu8ivNm7cqBEjRqhu3bqKiIiw37kxYcIExcbGaubMmZowYYLeeOMNp+q7fv26evTooQsXLmjz5s1q3ry5JKlq1aoKCwvTPffco0ceeUR79+5VkSJp3+qXX35ZO3bsUHh4uIYOHSpJql69ulatWqXatWurb9++atasmapVq+bGdwAAAAAAgNzn8p0PBdHYsWMlSYMGDUr3yIgtAfDBBx8oKSnJqfq+/vprHTx4UE2bNrUnHmxatGihZs2a6cCBA1q0aFGaZSdPntTcuXPl5+engQMHpllWokQJ9e3bV8nJyRo/fnx2Ng8AAAAAgHzJY5IPMTEx2rBhgySpXbt26ZbXrl1bFSpUUHx8vFatWuVUnd99912G9UlS+/btJSld8mHJkiWyWq1q1KiRgoODM1xvyZIlSklJcSoWAAAAAADyK4957OKPP/6Q1WqVj4+Pqlev7rBMnTp1dPr0ae3YsUPdu3fPsk7bwJB16tTJsD7pxvgYrqwXGxurf/75R7Vr184yloIi6WqK1h+MUlx8nIKjrfLysuR1SECus1oN+gA8Gn0Ano4+AE9HH3DerWWDVLlUsbwOwy08Jvlw9OhRSVJISIi8vBzf8FG2bNk0ZTOTkJCg6OhoSVJYWFim9UVGRioxMVFFixZNU39G66V+/ejRoxkmH5KTk5WcnGz/f3x8vCTJarW6PHOH2c4nXNGAhbvzOgwAAAAAyPfGdqmr3ndXzuswMuXstafHJB9sF+YBAQEZlrElB+Li4pyuL7M6bfXZ6rT9P6tYvL295efnp+Tk5ExjGT9+vMaNG5fu9ZiYGF25ciXLbcgL8Zev6fayxXQ95bqKeBeRSHTCExmiD8Cz0Qfg6egD8HT0Aaf5Wq/Yf/TOry5duuRUOY9JPhRGI0eO1Kuvvmr/f3x8vCpWrKiQkBAFBQXlYWQZC5UUMbCsYmJiMr0LBSjMrFYrfQAejT4AT0cfgKejDxQu/v7+TpUzPflw/vx5NWnSRMeOHTO7qUzZLsYzm8kiMTFRkhwOAplRfZnVaavv5jqziiUlJcX+OEVmsfj5+cnPzy/d615eXvm+E1sslgIRJ2AW+gA8HX0Ano4+AE9HHyg8nN2Hbkk+XL58Wf/995/DmRmio6N18uRJdzSTI7ZBJmNiYmS1Wh2+QefOnUtTNjPFixdXaGiooqOjFRkZ6bCMrb6wsLA0j2BUr15dO3fuzHC91K87EwsAAAAAAPlZjtJMU6dOVa1atRQUFKRKlSqpatWq6f6aNm3qrlhzpFGjRvLy8tK1a9cyHFDy4MGDkqTGjRs7VWeTJk3SrOdsfc6uV6JECdWoUcOpWAAAAAAAyK9cTj5MnDhRL7/8sv755x/5+/urbNmyqlSpUrq/8uXLuzNel4WGhqpVq1aSpHXr1qVbfujQIZ0+fVqBgYHq2LGjU3X27Nkzw/ok6eeff05TzqZHjx7y8vLSzp07HQ4oaVuve/fu8vb2dioWAAAAAADyK5eTD59//rkaNGigP//8U5cvX9bp06d1/PjxdH/bt2+XYRjujNllY8aMkSRNmzZN169fT7Ns0qRJkqRhw4aleURi165dqlu3rnr27JlunSeeeEK1atXStm3btGXLljTLtmzZot9//121a9fWE088kWZZlSpV1KdPHyUnJ+uTTz5Js+y///7TnDlz5Ovrq1GjRuVsgwEAAAAAyAdcTj6cOnVKU6dOVf369TMtV7RoUfXp08fVZtyqVatWCg8P199//61u3bpp165dOnz4sEaMGKGZM2eqc+fOGjlyZJp15syZowMHDmjx4sX6888/0yzz8fHRkiVLVLJkSfXo0UMRERE6ceKEIiIi1KNHD5UsWVKLFy9WkSLph9aYMmWKGjVqpNGjR2vSpEk6duyYNm/erE6dOun8+fOaNWsW4z0AAAAAAAoFl5MPZcqUUYUKFbIsFxQUpLlz57rajNuNGjVKP/74o5KSktS2bVs1aNBAP/30k6ZMmaIVK1akSxT07NlTpUuX1r333qt69eqlq++2227T3r171aVLFw0ZMkS1a9fWkCFD1KVLF+3du1e33XabwzgCAwO1adMmjR49WrNmzVLdunX10EMPKSQkRJs2bdLTTz9tyvYDAAAAAJDbLIaLz0SMHDlSVapU0QsvvJBpufj4eL388suaM2eOSwHCefHx8QoODlZcXFyaqUDzG6vVqujoaIWGhjK1DjwSfQCejj4AT0cfgKejDxQuzl6Hurynx44dq59++kkTJkxQdHR0huWSkpI0f/58V5sBAAAAAAAFXPrBCJx06623yjAMLV++XKNGjVKxYsVUqlQpWSyWNOVSUlJyHCQAAAAAACi4XE4+nDhxIs3/ExISlJCQ4LDszQkJAAAAAADgOVxOPlgsFm3fvl2lS5fOtFx0dLSaNWvmajMAAAAAAKCAczn54OXlpUqVKikkJCTTcsWKFVOlSpVcbQYAAAAAABRwLicfrl275lS50qVL6/jx4642AwAAAAAACjjT5zWJjY1V27ZtzW4GAAAAAADkU6YnH65evapff/3V7GYAAAAAAEA+5fRjFxMmTNBXX32l1157Tb1791a1atWcWo+pNgEAAAAA8GxOJx8++OADxcbG6rPPPlPv3r3TTbWZGabaBAAAAADAczmdfFi0aJGWLVumfv362V/bsWMHU20CAAAAAIBMOZ18aN++vdq3b5/mtYoVKyo0NDTT9fz9/WUYhmvRAQAAAACAAs/lqTatVqtT5cqUKeN0WQAAAAAAUPiYPtsFAAAAAADwbCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMJXLyYfffvtN169fz3D5hQsX1KxZM40aNUqJiYmuNgMAAAAAAAo4l5MPbdq00cWLFzNc7uPjozJlyujjjz/WsGHDXG0GAAAAAAAUcC4nHwzDyHR5UFCQli9frqVLl2r58uWuNgMAAAAAAAo408d8KF++vGJiYsxuBgAAAAAA5FNFnC3422+/acOGDWlemzhxoooXL57hOpcvX9bq1atVuXJllwMEAAAAAAAFm9PJh/Xr12vcuHGyWCz2Ry4mTpyYYfnU5T777LMchgkAAAAAAAoqp5MPrVu3tv/bMAy98847evXVVzO888HLy0slSpRQq1atdPvtt+c4UAAAAAAAUDA5nXxo1aqVWrVqZf//22+/rWHDhik0NNSUwAAAAAAAQOHg8oCT69evV8mSJd0ZCwAAAAAAKIRcTj60atVKRYpkfePE5cuX9fbbb7vaDAAAAAAAKOBMn2ozISFB48aNM7sZAAAAAACQTzk95oMjZ8+e1bx587Rnzx7FxsYqJSUlXZmrV6/mpAkAAAAAAFDAuZx82L59uzp06KCEhAT7lJoZsVgsrjYDAAAAAAAKOJeTD8OHD9f169f18ssvq2nTpipZsqR8fHzSlbtw4YJ69uyZoyABAAAAAEDBlaM7Hz7++GP17ds303JRUVFZ3hkBAAAAAAAKL5cHnPT19VWbNm2yLFemTBlZrVZXmwEAAAAAAAWcy8mHli1b6tSpU1mWu3btmn777TdXmwEAAAAAAAWcy8mH999/X6NHj9aZM2cyLXfx4kWn7pAAAAAAAACFk8tjPixevFjly5dXtWrV1K5dO9WoUUOlSpVKN7NFQkJCjoMEAAAAAAAFl8vJh7Fjx8piscgwDK1evdphGdtyptoEAAAAAMBzuZx8kKRXX31VxYsXz7TMpUuXNHny5Jw0AwAAAAAACrAcJR+GDRum0NDQTMtERkbqo48+ykkzAAAAAACgAHN5wMkFCxaoRIkSWZYrVaqU1q9f72ozAAAAAACggHP5zocnn3zSqXI+Pj5q2bKlq80AAAAAAIACzuU7H5wVFRUlHx8fs5sBAAAAAAD5lMt3Pvz7779OlYuOjna1CQAAAAAAUAi4nHyoUqUKU2gCAAAAAIAs5Wi2i/Lly8vb2zvNa4Zh6Pz580pMTJQkVapUiSQFAAAAAAAeLEfJhz/++CPDqTYjIyM1e/Zs7dmzRwsXLsxJMwAAAAAAoABzecDJPn36KCAgIMPlYWFheuONN9SuXTuNGTPG1WYAAAAAAEAB53LyYe7cuQoMDMyyXKdOnfTVV1+52gwAAAAAACjgTJ9q88yZM4qKijK7GQAAAAAAkE+Zmnw4fPiwhg4dqooVK5rZDAAAAAAAyMdcHnCyWrVqGS5LSUlRbGysLl++LEmaMGGCq80AAAAAAIACzuXkw4kTJ7IsU7VqVQ0YMEBDhw51tRkAAAAAAFDA5WiqzR07dqh06dLpXvf29lZwcLBTA1ICAAAAAIDCzeXkQ6lSpVS5cmWHyQcAAAAAAAAbl5MPMTEx7owDAAAAAAAUUjl67CK1ffv26eTJk5KkypUrq379+u6qGgAAAAAAFGA5Tj589tlnevfdd3Xu3Lk0r5crV05vvPGG+vfvn9MmAAAAAABAAeaVk5X79++vgQMH6uzZszIMI83fmTNnNHDgQJIPAAAAAAB4OJeTDxEREZoxY4buueceLV68WP/++6+Sk5OVnJysf//9V4sXL1aLFi00c+ZMLV261J0xAwAAAACAAsTlxy4+/fRT9ezZU998840sFkuaZRUqVFCFChXUrVs3PfbYY/rkk0/UrVu3HAcLAAAAAAAKHpeTD7t27dKaNWvSJR5Ss1gsev3113X//fe72gwAAAAAACjgXH7sIjExUSEhIVmWCw0NVWJioqvNAAAAAACAAs7l5EP58uW1devWLMtt2rRJ5cuXd7UZAAAAAABQwLmcfOjYsaNeeeUVbd++PcMyW7Zs0dChQ9W5c2dXmwEAAAAAAAWcy8mHkSNH6sqVK7r77rt19913a8iQIQoPD1d4eLgGDx6spk2bqmXLlrp27ZqGDx/uzphdlpycrPDwcNWrV08BAQEKCQlR165dtW3bthzVu3r1anXo0EElS5ZUsWLF1LBhQ02bNk1Wq9Vh+UuXLunzzz9X586dFRYWJh8fH5UoUUJ33323PvroI125ciVH8QAAAAAAkJ/k6LGLH374QWXKlNG2bds0bdo0jR49WqNHj9b06dO1Y8cOlSlTRitXrswXj10kJCSoZcuWGjt2rPr27au//vpLERERioqKUosWLbRw4UKX6p0wYYI6deokf39/rV27Vrt371aHDh00aNAgde3aVdevX09T/vLly6pcubL69++v4OBgffvttzp06JCWLl2qoKAgDR06VE2aNFF0dLQ7NhsAAAAAgDxnMQzDyEkF8fHxmjVrltauXauTJ09KkipXrqz77rtP/fr1U1BQkFsCzalnn31Ws2fPVnh4uEaNGmV//b///lPt2rUVFxen/fv3q1q1ak7XuXHjRt17772qW7eu9uzZIx8fH/uy559/XjNnztS7776rN954I017t9xyi7p3764lS5akqc9qteruu+/W9u3b1atXL3311VfZ2sb4+HgFBwcrLi4u37zvjlitVkVHRys0NFReXi7nv4ACiz4AT0cfgKejD8DT0QcKF2evQ3O8p4OCgvTqq69q1apV2r9/v/bv369Vq1bplVdeyTcXwCdPntTcuXPl5+engQMHpllWokQJ9e3bV8nJyRo/fny26h07dqwkadCgQWkSD5I0dOhQSdIHH3ygpKSkdOv269cv3WteXl569tlnJUkRERFKSUnJVjwAAAAAAORHpqeZrly5oi+++MLsZjK1ZMkSWa1WNWrUSMHBwemWt2/f3l7O2Qv+mJgYbdiwQZLUrl27dMtr166tChUqKD4+XqtWrbK/HhwcrNjYWHXs2NFhvRUqVJB0431jilIAAAAAQGFgevIhLi5OzzzzjNnNZMo2oGSdOnUcLre9Hhsbq3/++cepOv/44w9ZrVb5+PioevXqmda7Y8cO+2sWi0UlSpTI8Paic+fOSbrx6EpgYKBTsQAAAAAAkJ8VycnKSUlJWr58uXbt2qXY2FiHdw04euQgtx09elSSFBYW5nB56tePHj2q2rVrO11nSEhIhomEsmXLpinrjB9//FGS0j0e4khycrKSk5Pt/4+Pj5d04xmqjGbayA+sVqsMw8jXMQJmog/A09EH4OnoA/B09IHCxdn96HLy4fDhw+rQoYNOnz6trMastFgsrjbjFraL8oCAAIfLvb295efnp+TkZMXFxbmlTkkqWrSoJDld599//60VK1aoQYMGGjx4cJblx48fr3HjxqV7PSYmJl9P12m1WhUXFyfDMBhgBh6JPgBPRx+Ap6MPwNPRBwqXS5cuOVXO5eTDkCFDdO7cOT3++ONq0qSJgoODHSYZ/vvvP7366quuNqPXX39dK1asyPZ6s2bN0j333ONyu7ktKSlJvXv3VokSJfTtt9/Kz88vy3VGjhyZ5r2Nj49XxYoVFRISkm8G+3TEarXKYrFketcIUJjRB+Dp6APwdPQBeDr6QOHi7+/vVDmXkw+bNm3SRx99pJdeeinTclFRUXrllVdcbUZnz57VoUOHsr1eQkKC/d+2C/GMHgFJSUmxP77gaEBKR7KqU5J9wMis6rx+/boeffRRHT9+XOvXr1eNGjWcisHPz89hksLLyyvfd2KLxVIg4gTMQh+Ap6MPwNPRB+Dp6AOFh7P70OU97e/vrwceeCDLciEhITp+/LirzejLL7+UYRjZ/ks9m4RtQMjIyEiHbaR+PaPBI29mKxcTE5PhMy62wSMzq/PatWvq1auXtm/frvXr1+uOO+5wqn0AAAAAAAoKl5MPnTt3diqpcPXqVf3666+uNuMWTZo0kSQdPHjQ4XLb6yVKlHD6roNGjRrJy8tL165dy3BASVu9jRs3drj8ypUr6t69uzZv3qxff/2VxAMAAAAAoFByOfkwceJETZ8+Xbt37860XH6YarNHjx7y8vLSzp07HQ7++PPPP0uSunfvLm9vb6fqDA0NVatWrSRJ69atS7f80KFDOn36tAIDA9PchWGTmJioBx98UPv27dPGjRvTTQPasWNH7d2716lYAAAAAADIz1we8yEkJESff/652rdvr+vXr6t69eoqWbJkukEn88NUm1WqVFGfPn00d+5cffLJJxo5cqR92X///ac5c+bI19dXo0aNSrdueHi4Zs2apXHjxql3795plo0ZM0br16/XtGnT9Oyzz6pIkf//dk6aNEmSNGzYMPusFzbx8fF64IEHFBUVpY0bN6pixYrp2v3pp580YsSIHG03AAAAAAD5gcvJhxMnTqht27Y6ceKEJGn//v0Zls3rqTYlacqUKdq7d69Gjx4tX19fdevWTefOndNrr72m8+fPa968eQ7HZhg/frwuX76sDz/8MF3yoVWrVgoPD9cbb7yhbt26ady4cSpevLjmzJmjmTNnqnPnzmkSHdKNaUjat2+vHTt2qFq1aurWrZup2w0AAAAAQF5zOfnw2muv6fTp03ryySfVuHFjBQUFmTLVprsEBgZq06ZN+vDDDzVr1iy98cYbKlasmFq0aKFNmzbp7rvvdrjes88+q9mzZ6tv374Ol48aNUoNGjTQpEmT1LZtW127dk21atXSlClTNHDgwHSPcRw9elQ7duyQJB07dsy9GwkAAAAAQD5kMQzDcGXF0qVL6+2339aAAQMyLRcVFaWyZctmOCME3Cc+Pl7BwcGKi4uzTwWaH1mtVkVHRys0NJSpdeCR6APwdPQBeDr6ADwdfaBwcfY61OU9bbVa1alTpyzL5XSqTQAAAAAAULC5nHzo0KFDgZlqEwAAAAAA5B2Xkw+TJk3Se++9pz179mRaLj9MtQkAAAAAAPKOywNOjh49WgEBAWrUqJFuvfXWfD3VJgAAAAAAyDsuJx/mzZsni8UiwzC0f//+fD/VJgAAAAAAyBsuJx8kafLkyQoODs60TH6ZahMAAAAAAOSNHCUfHn/8cYWGhmZa5tSpUyQfAAAAAADwYC4POLlx40aVKlUqy3Le3t6uNgEAAAAAAAoBl+98aNGiRZZlTp8+rU8++cTVJgAAAAAAQCGQo8cuHLl27ZqWLVum2bNna926dbJare5uAgAAAAAAFCBuSz789ddfmj17tr788ktdvHhRhmFIkooWLcp0mwAAAAAAeLAcJR8uXbqkhQsXavbs2dq5c6ckyTAM+fj46P7779fTTz+txo0bq1q1am4JFgAAAAAAFDwuJR9+/fVXzZ49WxEREUpKSrLf5VC/fn0dPHhQO3bs0O233y5Jio+PV58+fdwXMQAAAAAAKFCcTj6cO3dO8+bN05w5c3Ts2DFJN+5yKF68uB577DE999xzatKkiQIDA1W8eHH7ekFBQZo7d677IwcAAAAAAAWC08mHSpUqyWq12u9yaNKkiZ577jk9/vjjKlasmGkBAgAAAACAgs3p5INhGDIMQyEhIVq4cKHatWtnZlwAAAAAAKCQ8HK24OnTp/Xuu+8qKChInTt3Vo8ePbR69Wr7nRAAAAAAAACOOJ18CAsL06hRo3TkyBGtXr1aRYsWVffu3VWlShWNHTtWp06dMjNOAAAAAABQQDmdfEitTZs2WrBggc6dO6fXX39d33//vapWraqOHTvq2rVrae6GuHz5st5++223BQwAAAAAAAoWl5IPNsHBwRo4cKB27typ7du3q1q1agoICFDz5s01ZMgQ7d69WwkJCRo3bpy74gUAAAAAAAVMjpIPqTVs2FCffPKJzp07p4kTJ+rPP//UXXfdpXvuucddTQAAAAAAgALIbckHG39/fz399NPasGGDDh48qC5duri7CQAAAAAAUIC4PfmQWs2aNfX6668zIwYAAAAAAB7M1OSDJIWGhur48eNmNwMAAAAAAPIp05MPXl5eqly5stnNAAAAAACAfMr05AMAAAAAAPBsJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmIvkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gEAAAAAAJiK5AMAAAAAADAVyQcAAAAAAGAqkg8AAAAAAMBUJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmIvkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkH/KJFStWyGKxyGKx6MSJE3kdDgAAAAAAbuNRyYfk5GSFh4erXr16CggIUEhIiLp27apt27blqN7Vq1erQ4cOKlmypIoVK6aGDRtq2rRpslqtTq0fFxenF198MUcxAAAAAACQX3lM8iEhIUEtW7bU2LFj1bdvX/3111+KiIhQVFSUWrRooYULF7pU74QJE9SpUyf5+/tr7dq12r17tzp06KBBgwapa9euun79epZ1vPbaaypSpIhL7QMAAAAAkN95TPLh5Zdf1o4dOzRu3DgNHTpU1atXV8uWLbVq1SqVKlVKffv21bFjx7JV58aNGzVixAjVrVtXERERatSokWrVqqUJEyboueee0/fff68JEyZkWsf69es1e/Zsff755znZPAAAAAAA8i2PSD6cPHlSc+fOlZ+fnwYOHJhmWYkSJdS3b18lJydr/Pjx2ap37NixkqRBgwbJx8cnzbKhQ4dKkj744AMlJSU5XD8pKUnPPfecnnzySXXs2DFbbQMAAAAAUFB4RPJhyZIlslqtatSokYKDg9Mtb9++vb1cSkqKU3XGxMRow4YNkqR27dqlW167dm1VqFBB8fHxWrVqlcM63nrrLcXHx+v//u//nNsQAAAAAAAKII9IPtgGlKxTp47D5bbXY2Nj9c8//zhV5x9//CGr1SofHx9Vr14903p37NjhcP3/+7//05QpU1SqVCmn2gQAAAAAoCDyiFEOjx49KkkKCwtzuDz160ePHlXt2rWdrjMkJEReXo5zOGXLlk1T1ubatWvq16+fOnbsqCeeeCLrDchAcnKykpOT7f+Pj4+XJFmtVqdn2sgLVqtVhmHk6xgBM9EH4OnoA/B09AF4OvpA4eLsfvSI5IPtojwgIMDhcm9vb/n5+Sk5OVlxcXFuqVOSihYtKknp6nz//fd1/PhxrVy50qm2MjJ+/HiNGzcu3esxMTG6cuVKjuo2k9VqVVxcnAzDyDBxAxRm9AF4OvoAPB19AJ6OPlC4XLp0yaly+T758Prrr2vFihXZXm/WrFm65557TIgoZw4cOKDw8HB99NFHqlixYo7qGjlypF599VX7/+Pj41WxYkWFhIQoKCgop6Gaxmq1ymKxZHrXCFCY0Qfg6egD8HT0AXg6+kDh4u/v71S5fJ98OHv2rA4dOpTt9RISEuz/tl2IZzTrREpKiv3xBUcDUjqSVZ2SlJiYmKZOq9Wqfv36qXHjxnrxxRedaiczfn5+8vPzS/e6l5dXvu/EFoulQMQJmIU+AE9HH4Cnow/A09EHCg9n92G+39NffvmlDMPI9l/qqSttA0JGRkY6bCP16xkNHnkzW7mYmJgMn3E5d+5cmrKnTp3S1q1btX37dgUGBqp48eJp/mzq1atnf23jxo1OxQMAAAAAQH6V7+98cIcmTZro22+/1cGDBx0ut71eokQJ1ahRw6k6GzVqJC8vL127dk1Hjx5VzZo1M6y3cePGkqTy5cvryJEjGdZpq+PHH39U+fLl7esAAAAAAFCQeUTyoUePHnr99de1c+dOxcXFpXu04ueff5Ykde/eXd7e3k7VGRoaqlatWmn9+vVat25duuTDoUOHdPr0aQUGBtrvwihSpIhTyY3KlSurSpUqTsUBAAAAAEB+l+8fu3CHKlWqqE+fPkpOTtYnn3ySZtl///2nOXPmyNfXV6NGjUq3bnh4uKpWraovvvgi3bIxY8ZIkqZNm6br16+nWTZp0iRJ0rBhw+yzXgAAAAAA4Ik8IvkgSVOmTFGjRo00evRoTZo0SceOHdPmzZvVqVMnnT9/XrNmzXI43sP48eN14sQJffjhh+mWtWrVSuHh4fr777/VrVs37dq1S4cPH9aIESM0c+ZMde7cWSNHjsw0rri4OEVGRqYZdyImJkaRkZG6ePFizjccAAAAAIA85jHJh8DAQG3atEmjR4/WrFmzVLduXT300EMKCQnRpk2b9PTTTztc79lnn1Xx4sXVt29fh8tHjRqlH3/8UUlJSWrbtq0aNGign376SVOmTNGKFStUpEjmT7YMGTJEZcuWVdmyZe2vNWnSRGXLllX37t1d32AAAAAAAPIJi2EYRl4HAfeIj49XcHCw4uLi7FOB5kdWq1XR0dEKDQ1lah14JPoAPB19AJ6OPgBPRx8oXJy9DmVPAwAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gEAAAAAAJiK5AMAAAAAADAVyQcAAAAAAGAqkg8AAAAAAMBUJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmIvkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmIrkAwAAAAAAMBXJBwAAAAAAYCqSDwAAAAAAwFQkHwAAAAAAgKlIPgAAAAAAAFORfAAAAAAAAKYi+QAAAAAAAExF8gEAAAAAAJiK5AMAAAAAADAVyQcAAAAAAGAqkg8AAAAAAMBUJB8AAAAAAICpSD4AAAAAAABTkXwAAAAAAACmIvkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqUg+AAAAAAAAU5F8AAAAAAAApiL5AAAAAAAATEXyAQAAAAAAmKpIXgcA9zEMQ5IUHx+fx5Fkzmq16tKlS/L395eXF/kveB76ADwdfQCejj4AT0cfKFxs15+269GMkHwoRC5duiRJqlixYh5HAgAAAADwJJcuXVJwcHCGyy1GVukJFBhWq1Vnz55VYGCgLBZLXoeTofj4eFWsWFGnTp1SUFBQXocD5Dr6ADwdfQCejj4AT0cfKFwMw9ClS5dUrly5TO9k4c6HQsTLy0sVKlTI6zCcFhQUxMEGHo0+AE9HH4Cnow/A09EHCo/M7niw4QEbAAAAAABgKpIPAAAAAADAVCQfkOv8/Pw0ZswY+fn55XUoQJ6gD8DT0Qfg6egD8HT0Ac/EgJMAAAAAAMBU3PkAAAAAAABMRfIBAAAAAACYiuQDAAAAAAAwFckHAAAAAABgKpIPAAAAAADAVCQfAAAAAACAqYrkdQAovJKTk7Vq1Srt2LFDR48eVVxcnCQpODhY1atXV+PGjdWxY0f5+/vncaQAALMYhqF//vnH4XmgRo0aslgseRwhAADIDSQf4HZWq1UTJkzQBx98oPj4eEk3vnymZvuyGRgYqNdff10jRoyQlxc34qBw4uILnujEiRMaP368lixZotjYWIdlSpQooR49emjkyJGqWrVqLkcI5B7OA/B0Fy5c0K5duxz2gYYNG6pUqVJ5HCFyg8W4+aoQyAHDMNStWzetWLFCklShQgXVqVNHZcuWVdGiRSVJiYmJOnfunA4ePKjTp0/LYrHogQce0PLlyzn5olDh4gue6ptvvlHfvn115cqVNK/7+flJunFn3M2vz549W7169cq1GIHcwHkAnm7Lli0aN26c1q9fr5SUFIdlvLy81KZNG40ZM0YtWrTI5QiRm0g+wK2mT5+uQYMG6bnnntPQoUNVq1atTMsfPnxYEydO1KxZs/Txxx9r4MCBuRQpYC4uvuCptm/frhYtWqhUqVLq27ev2rdvrzp16igsLMx+h5vValVkZKQOHjyotWvXas6cObp48aI2b96sJk2a5PEWAO7BeQCe7sMPP9SIESPsd0D7+vqqTJkyaX6QjIqK0tWrVyXduDP6vffe0/Dhw/MsZpiL5APcqlGjRrrvvvs0fvz4bK03YsQIrV27Vjt37jQpMiD3cPEFT9atWzdFRUVp1apVCg4Odmqd//77T506dVKZMmW0bNkycwMEcgHnAXi6n376SZ06dVLdunU1ePBgtW/fXtWqVXNY9tixY1q7dq2mTp2qgwcP6scff9T999+fyxEjN5B8gFsVL15ce/bsUY0aNbK13pEjR9SwYUNdunTJpMiA3MPFFzxZaGioli5dmu1bZzdv3qyuXbsqJibGpMiA3MN5AJ7uvvvuk5+fn5YuXaoiRZwbZvD69evq2rWrrl69qjVr1pgcIfICA07Crfz8/JSQkJDt9RISEuTj42NCREDu27x5s5YuXer0F07pxjO/EydOVNeuXc0LDMgFCQkJKleuXLbXK1eunC5fvmxCREDu4zwAT7dz506tXbvW6cSDJBUpUkTjxo1Thw4dTIwMeYnpBeBWjRo10tixYzMcUMYRq9WqMWPG6K677jIxMiD3cPEFT1atWjUtX7482+stXbqUwfZQaHAegKdLTk5WUFBQttcLDg7WtWvXTIgI+QHJB7jVq6++qhUrVqhBgwaaOXOmjh49mmHZo0ePasaMGbrzzjv1ww8/aOjQobkYKWAeLr7gyZ544gkNHz5cEyZMcOpRukuXLmnChAkaOXIkA+2h0OA8AE9Xp04dzZ07N9vrzZkzJ8sB61Fw8dgF3Kpjx44aP368Ro4cqf79+0uSfHx8FBISooCAAElSUlKSYmJi7FlNwzAUHh7OwDIoNGwXX8nJyRowYIACAwMzLX/p0iV98sknGj16tEaPHp1LUQLmGDZsmJYvX65Ro0Zp3LhxatSokX2gvdTnAdtAezt37lRycrIaNmyoYcOG5XH0gHtwHoCne+aZZzR48GBdvHhRr7zyilMz4E2ePFkzZszQ1KlTcylK5DYGnIQpNm7cqLFjx+rXX3+V1Wp1WMbLy0utWrXSmDFjdO+99+ZyhIB5rl69qnvuuUc7d+6Un59fti6+Nm/eLF9f3zzeAiBnLl++rCFDhmjevHmyWq2yWCwOyxmGIS8vL/Xp00dTpkxR8eLFczlSwBycB+DpDMPQww8/rJUrV8pisahcuXKZ9oGzZ8/KMAx17txZ33//fYbnDRRsJB9gqvPnz+uPP/7Q0aNHFR8fL0kKCgpS9erV1ahRI4WEhORxhIA5uPgCpH///VdLlizRtm3bHJ4HmjRpoh49eqhy5cp5HCngfpwH4OlSUlI0fvx4ffjhh/bH8G7uB7ZL0eLFi2vYsGEaNWqUvL29cz1W5A6SDwBgIi6+AMCzcR6Ap0tKStLq1asz7QMdO3ZU0aJF8zhSmI3kAwAAAAAAMBUDTgIAANNduXJFcXFxkm5Mpebv75/HEQEAgNxE8gEAcgkXX/AkVqtVixYt0qJFi7Rjxw5FRkamWR4WFqbGjRvr0Ucf1eOPPy4vL2b/RuHHeQCeLDk5WcePH0/TB6pUqUI/8CA8dgEAJuHiC57q4MGDeuSRR3TgwAFl9TXDYrGoTp06Wrx4sW699dZcihDIHZwH4OkuXbqkadOmadGiRfr777/TzYLn5eWlevXq6dFHH9VLL72koKCgPIoUuYHkAwCYgIsveKpz587p9ttv14ULF9SsWTO1b99ederUUdmyZe2DiSUmJurcuXM6ePCgfv75Z/3+++8qXbq0/vzzT5UtWzaPtwBwD84D8HS//fabevbsqfPnzzvVB0qXLq1vv/1WrVq1yqUIkdtIPgCAm3HxBU/24osvatmyZVqyZImaN2/u1DpbtmzRI488oocffliffvqpyREC5uM8AE93+PBhNWjQQFarVd26dcuyD6xdu1bLli2Tl5eXdu3apdq1a+fxFsAMJB8AwM24+IInq1y5sv7v//5P3bp1y9Z6EREReuWVV3Ty5EmTIgNyD+cBeLqnn35af/zxh3788UdVrVrVqXWOHTumBx54QHfddZcWLFhgcoTICyQfAMDNuPiCJ/P399ehQ4dUuXLlbK138uRJ1alTR0lJSSZFBuQezgPwdOXKldP8+fPVoUOHbK23Zs0a/e9//9PZs2dNigx5iVFtAMDNoqKi1LBhw2yv16hRI0VHR5sQEZB7ypQpo927d2d7vV27dik0NNSEiIDcx3kAni42Nla1atXK9nq1atVSbGysCREhPyD5AABuxsUXPFmnTp00cOBAbdu2zel1fv/9d7300kvq1KmTiZEBuYfzADxdhQoV9Ouvv2Z7vQ0bNqhChQomRIT8oEheBwAAhY3t4qts2bJq2rSpU+vYLr66dOlicnSAucaOHavFixerefPmatq0qdq1a6c6deooLCxMAQEBkqSkpCRFRkbq4MGDWrdunbZt26aSJUtqzJgxeRw94B6cB+DpunXrpkGDBsnPz0+PPfaYU+ssWrRIQ4YM0QsvvGBydMgrjPkAAG4WGRmp2267TbGxsdm++Nq7dy+jnKPA279/v3r06KFDhw7JYrFkWtYwDNWqVUtLlixRvXr1cilCwFycB+Dp4uPj1aBBA504cULlypVT69atM+0DGzZs0NmzZ1W5cmXt2bNHQUFBebwFMAPJBwAwARdf8HQpKSlauHChFi9erG3btqV7jj00NFRNmjRRz5499cQTT6hIEW7GROHCeQCeLjIyUk8//bTWrVsnSRn2A9vlaJs2bfTll1+SfCvESD4AgEm4+AL+v8uXLys+Pl6SFBQUpGLFiuVxRID5OA8A0qZNm/Tdd99p27ZtOnr0aJpzQfXq1e19oGXLlnkcKcxG8gEAcgkXXwDg2TgPAPBkJB8AAAAAAICpuLcLAACY4vTp01q8eLF27Niho0ePKi4uTpIUHBys6tWrq3HjxurRo4cqVqyYx5ECAACzcecDAJiIiy94osTERL3yyiuaM2eOrFarMvqqYbFY5OXlpWeeeUaTJ0/mFnQUSpwH4Om2bt2qRYsWZdoHevbsqRYtWuRxpDAbyQcAMAEXX/BUV69e1b333qvt27fLz89PjRs3Vp06dVS2bFkVLVpU0o3+ce7cOR08eFA7duxQcnKyGjdurI0bN8rX1zePtwBwD84D8HRRUVHq3bu3fv75Z0nKtA9IUrt27fTFF18oLCws12JE7iL5AABuxsUXPFl4eLjGjRuncePGaeDAgVnO1R4fH69p06Zp7NixGjNmjN54441cihQwD+cBeLr4+Hg1atRIR48eVbly5dS2bdtM+8Avv/yis2fPqlq1atq1a1eW5w4UUAYAwK3effddw8fHx3jvvfeMuLi4LMvHxcUZ4eHhho+Pj/Huu+/mQoSAeerVq2d89NFH2V5v4sSJRt26dU2ICMh9nAfg6YYNG2YEBgYaCxcuNKxWa5blrVar8dVXXxmBgYHGsGHDciFC5AXufAAAN7vtttvUr18/vfLKK9lab9KkSZozZ47+/vtvkyIDzFe0aFH9/fffqlq1arbWO378uOrVq6fExESTIgNyD+cBeLoaNWrorbfeUp8+fbK13ty5cxUeHq5//vnHpMiQl7zyOgAAKGyOHTumrl27Znu97t276/jx4+4PCMhFxYsX17lz57K93rlz51S8eHETIgJyH+cBeLozZ86odevW2V6vTZs2OnPmjPsDQr5A8gEA3IyLL3iyFi1a6PXXX9elS5ecXufSpUt6/fXXGekchQbnAXi6W265RUeOHMn2ekeOHNEtt9xiQkTID3jsAgDcrFu3boqJidGqVasUGBjo1DqXLl1Sp06dFBISoqVLl5ocIWCebdu26Z577lFISIieeeYZ+yBjYWFh8vb2liSlpKQoMjJSBw8e1Lp16zR37lydP39emzdvVpMmTfJ4C4Cc4zwAT/fUU09p165dWrVqlSpXruzUOidPnlSnTp3UsGFDffnllyZHiLxA8gEA3IyLL3i6hQsXql+/frp69Wqa11N//m0Mw5Cvr69mzZqlp556KlfjBMzCeQCe7vDhw2rQoIEkqWvXrmn6QEBAgCQpKSkpTR9Yvny5JGn37t2qVatWnsUO85B8AAATcPEFT3fs2DGFh4dr6dKl+u+//xyWCQ4OVvfu3TVq1ChVr149dwMETMZ5AJ5uw4YN6tmzpy5cuCCLxZJpWcMwVKpUKX377bdq06ZNLkWI3EbyAQBMwsUXIFmtVh0+fFhHjx5VfHy8JCkoKEjVq1dXrVq15OXF8FMovDgPwNPFxcVp6tSpWrx4sf7++29ZrdY0yy0Wi+rVq6eePXtq0KBBKlGiRN4EilxB8gEATMbFFwB4Ns4DgJSYmKjjx4+n6QNVq1ZV0aJF8zgy5BaSDwAAINcFBQVpz549qlatmiTp8uXLmjRpkkaPHp3HkQEAADOQfAAAALkuMDBQf/75pz35EBUVpXLlyqV5Dh4ojC5evKj58+dr+/btio2N1S233KLmzZurT5//1969R9Wc7/8Df+7uW6pJjJ06UmYSxq1ynTXquESGcR+XQTVkqOMYczhmxkLnuDUu0zjW5LIkRmFRwzEmg9SYiqOUNEoJXVz2RipqKtJ+//6w2l/b3pGm3U6/52Ot1sr7+np/9gd9Xn0+748PLC0t9R0eUaMrKSmBmZmZaqPJWpcuXcLOnTtx69YtyGQyTJw4EcOGDdNTlNQUmHwgItKRsLAwHDx4EMXFxejZsycCAgLg5uam0c7b2xsnT54E8OzZx6dPnzZ1qERNzsLCAhkZGXB0dATA5AO1LDt27MDq1avRvn17pKSkqMp//vlnzJgxA48ePULtj+C1G/G1bdsWUVFR+OCDD/QSM1FjS05OxmeffYaMjAxIJBJ4enoiLCwMDg4OiImJwfjx4/H06VMIIVR/D/7+978jJCREz5GTrjD5QESkAzNmzMD+/fvx/D+xEokEAQEB2LRpE0xMTFTlv//+Ox48eIB58+YhNzeXF1/0xqq9i6E+CgsL0aFDBxgZGQF4tvP/rVu3eP5TizBu3DicOHECK1aswFdffQUAyMrKgpubGx4/fgxnZ2e4ubnBwsICd+/eRVZWFnJzc/HWW2/h4sWLcHBw0PMKiP6c/Px89OzZE+Xl5aoyiUSC3r17Iy4uDi4uLrC0tISLiwsMDAyQk5OD7OxsSCQSxMTEYMSIEXqMnnSFyQciokYWHR2NyZMnw8LCAmPGjIG9vT3kcjlOnToFhUKB999/HzExMbCwsFDr17dvX6SlpfHii95YBgYGkEgkaOiPFhKJhOc/tQidO3fGggUL8Pnnn6vK/Pz8cOTIERw4cEDrhVVMTAx8fX0xZcoUbNmypQmjJWp88+fPx/79+7Fx40YMHDgQmZmZ+Mc//oE7d+5g2bJlcHV1xbhx49T6/PLLL5g5cyYGDx6M6Oho/QROOmWk7wCIiFqaXbt2wdnZGfHx8bC1tVWV19TUICwsDEuWLMGQIUMQGxsLKysrPUZK1LgWLlyILVu2oGPHjggODoZMJtPaTgiBUaNGYefOnbCzswMAPHjwAJMnT27KcIl0RqFQYNSoUWplCQkJCA4OrvM3uqNGjcKmTZvwr3/9qylCJNKp2NhYBAcHY86cOQCA7t27w9raGiNGjIBMJtNIPADAyJEjERwcjKCgoKYNlpoM73wgImpkMpkMoaGhmDBhgtb6a9euwcvLC7a2tjh16pTqFVO884FagvPnz2POnDm4c+cONm3aBF9fX63tuOEktWTW1tZIT09Xe3zCxsYGiYmJ6Nq1a539CgsL0aVLF1RWVjZFmEQ6I5VKcenSJTg7O6vKqqurIZVKkZ6ejvfee09rv/z8fLi4uKCqqqqpQqUmxJcKExE1suLiYvTu3bvO+nfeeQdJSUkoKSnBmDFj8Pjx46YLjkjH+vfvj7S0NCxYsADz5s2Dl5cX8vPzX9nP0NAQHTt21H2ARE3g3XffxaVLl9TKZDIZioqKXtrv3r17Gm8EIHoTSaVSVFdXq5XV1NRACPHSn3seP34MQ0NDXYdHesLkAxFRI2vdujVKS0tf2sbW1haxsbEoLCzE+PHjNf6DJnqTGRsbIygoCKmpqXj06BHee+89hISEvHQviLZt2yIvL68JoyTSnfHjx2PNmjV48uSJqmz06NHYtGlTnX2USiVWrVqFPn36NEWIRDr1l7/8BT///LNa2bFjx2Bubo6oqKg6+0VFRTER3YIx+UBE1Mi6deuGo0ePvrJdhw4dEBsbi8zMTEyZMoWv2KQWp3v37jh37hxWrVqF5cuXY8CAAbh8+bK+wyLSuYULF+LevXvw8PDA6dOnoVQq8eWXXyIjIwN9+/bF7t27kZycjGvXriEpKQmhoaHo1asXjh07hnnz5uk7fKI/bciQIVixYgVWrlyJ48ePY9OmTfD398fSpUuxYcMGrFixQu0XNWVlZVizZg3+/e9/Y/jw4foLnHSKez4QETWyVatWYd26ddi4cSNmzZqF1q1bv7R9bm4uPDw8cPfuXQDgM+/UIuXl5cHf3x8JCQn45z//iZCQEGRkZLzW6zmJ3iS5ubnw8vJCYWEhTE1N0alTJ1RWVqKgoAASiUSjvRAC/v7+2L59ux6iJWpcBQUF6Natm9reDXZ2dsjOzsa0adNw7NgxAED79u0hkUigUCgAAObm5rh06RIcHR31EjfpFpMPRESN7ObNm+jcuTOePn0KIyMjFBcXvzIBkZmZCU9PTxQXFzP5QC1a7RtfHj58iNzcXCYfqEWrqKjA2rVrER4eDrlcXmc7Z2dnLFu2DDNnzmzC6Ih0Ky4uDosWLcK1a9fQq1cvbN26Fb169UJpaSlGjBiBlJQUtfbt27dHZGQkhgwZoqeISdeYfCAi0oHffvsNJSUlAJ4951ufzZMyMzMRGxuLhQsX6jo8Ir1SKBQ4efIkJk6cCHNzc32HQ6RzSqUSly9fRkZGBu7fv4+KigpIpVLY2tqiT58+cHFx0XeIRE0uLi4OqampAJ4l4Ly8vLjhagvH5AMRERERERER6RQ3nCQiIiIiIiIinWLygYiIiIiIiIh0iskHIiIiIiIiItIpJh+IiIiIiIiISKeYfCAiIvr/1OrVqyGRSFRfu3fv1kscVVVVanF06tSpUcYNCgpqFutriXx9fdWO7a+//qrvkIiIqJlj8oGIiKgZKi4uRlBQEPr27QsrKyuYmJjA1tYWrq6umDlzJrZv347s7Ow/NceiRYsgl8vx8ccfN1LUDWNmZga5XI7k5ORGHXfx4sWvXN+aNWvQpk0bxMXFNercLd3mzZshl8sxcOBAfYdCRERvCCN9B0BERETqsrKyMHToUPzxxx9YvHgxvL29IZPJUF5ejpSUFKxbtw4RERHo3r07Ll++3OB5zM3NYW5u3izeqy6TyVBVVdWoY7Zu3RqtW7d+6fr27duHkpIS/PjjjxgyZEijzt+SWVlZqZJiRERE9cHkAxERUTPj7+8PhUKBAwcOYMqUKWp1Xbt2hZeXF/r06aOn6FqWJUuWYNu2bfDz89N3KERERC0aH7sgIiJqRh4+fIizZ88CALy9vbW2kclkGkkJahhfX1/873//g5ubm75DISIiatGYfCAiImpGlEql6vvbt2/X2W758uWIjo7WWldRUYG1a9eid+/eqscqXFxc4Ofnh5iYGLU5XpSYmIi//vWvsLCwgKWlJUaPHo2cnJw62+fn52Pu3LlwcHCAiYkJ2rVrh1GjRuHEiRN19rl06RLGjh0La2trmJubw93dHXv27Kmzfdu2bevcjPLFjQ/z8/PrHOd5v/76q1o/X19ftWPwYt2tW7cwffp0tG3bFlKpFO7u7oiJiXnpcZkxYwbefvttmJmZwdnZGcuXL0dFRUWDN9c8dOgQPDw8IJPJYGJiAkdHR/j4+ODYsWOorq7WaH/z5k0EBgbCyckJpqamsLS0hJubGxYvXoz09HS1tkVFRQgNDYWXlxccHBxgamqKt99+G2PHjkViYmK9Y3zR77//junTp8PW1la1b8nkyZMbfX8PIiJ6AwgiIiJqVjp06CAACA8PD6FQKF6r7927d0XPnj2FsbGxWLt2rcjJyRGZmZniP//5j7C0tBQAxJEjR9T6+Pj4CADCz89PjBgxQpw/f17k5OSI9evXC0NDQ2FnZyfKyso05kpISBBWVlaiXbt2IiIiQly9elWcOnVKDBgwQAAQwcHBGn3i4+OFVCoV1tbWIjw8XOTl5YmUlBQxefJkMXv2bAFAODg4aKwpOTlZa11paamQy+XC3t5eABB5eXkac9auLzw8XFX2+PFjIZfLxXfffScACB8fH1XdkydP1Oo+/PBD8f7774tjx46JGzduiEOHDok2bdoIQ0NDkZKSojFfZmamsLGxEaampiIkJERcv35dZGRkiICAAOHp6SkACABCLpeLe/fuaX6IWnz11VcCgPjiiy9Eenq6uHHjhvjpp59Ez549BQARHx+v1v7s2bPC2tpayGQyERkZKfLy8sSFCxfE559/rpq/tLRU1X7dunUCgAgICBCpqakiLy9PxMXFidGjRwsDAwOxb98+rXF5eHhonV8IIaKiooSJiYlwcnISR44cEbm5ueLo0aOiS5cuwtDQUERERNRr7URE1DIw+UBERNTMbNu2TXWBKJVKxSeffCKio6PFo0ePXtnX29tbABDr16/XqNu3b58AIA4fPqxWXntxbm1tLcrLy9XqJkyYIACIvXv3qpWXlJSI9u3bCwDi3LlzanWVlZXC1tZWGBgYiOTkZFV5RUWFsLOzEwDEf//7X7U+NTU1ok+fPloTDEIIkZeXV2edEEI4ODi8VvKhVnh4uEby4cU6ACIpKUmtbvPmzQKAmD17tkY/V1dXAUBs3rxZo27s2LGqMeursrJSmJmZie7du2vU3bx5U0gkErWL/9LSUmFrayskEok4f/68Rp+5c+cKAKKkpERVFhoaKqZNm6bRtrq6Wri4uIi2bduKyspKjfq6kg/Xr18XrVq1EiYmJqKgoECtTi6XC6lUKlq1aiUKCwtfsXoiImop+NgFERFRM/PZZ5/h+++/R5s2bVBZWYnIyEhMnDgRNjY2GDJkCEJDQ/Ho0SONfmlpaTh+/DiMjY0xb948jfpJkyahQ4cOMDY21jrvxx9/DHNzc7Wy/v37A4DGbfphYWG4e/cuBg4ciAEDBqjVmZmZwdfXF0qlEqGhoaryqKgo3L59G3Z2dvjoo4/U+hgYGCAwMLDug6JHXbp0waBBg9TK6jouCQkJSEtLg4mJCWbPnq0x1oIFC157/rKyMlRVVeHBgweoqKhQq7O3t8fOnTvx7rvvqsrCwsIgl8vRv39/9OvXT2O82bNnw8rKChKJRFU2f/587Nu3T6OtkZER3N3dUVRUhPPnz9c75pCQEFRUVGDixIno2LGjWp1MJsO4ceNQUVGBXbt21XtMIiJ6szH5QERE1AwFBATg5s2biIiIwKRJk/DWW2+huroa8fHxCAwMROfOnfHTTz+p9Tl58iQAwMXFBRYWFhpjGhsb4/bt2/jwww+1zvnOO+9olLVp0wYAUFJSonUud3d3rWM5OTkBAJKSklRlZ86cAYA6N3fs2rWr1nJ9e53jUrtGFxcXjUQO0LA1tmvXDj169IBCoYC7uzvCw8Px8OFDVf2nn34KOzs71Z9rP5u+fftqHa9fv34oLS2FlZWVWnlcXBwmTZoER0dHWFlZqV5VeuDAAQAv34PkRQ05P4iIqGVj8oGIiKiZatWqFT755BMcOnQIRUVFOHPmDObPn49WrVqhqKgIU6dORUFBgap97fft2rVr0Hw2NjYaZUZGz97KXVNTo1ZeWFgIANi+fbvqIvX5r9rf8D9/wXrr1q2XxieTyRoUt65pOy61d4+8eFx0tcbDhw9j0KBBuHLlCj799FO0a9cOw4YNw969e/H48WO1tg05DzZu3IihQ4fi/PnzWLFiBX777Tekp6cjPT1ddZfKkydP6j1e7fnx9ddfaz0/NmzYAOD1EhpERPRmM9J3AERERPRqhoaGGDx4MAYPHozFixfD3d0dJSUl2L9/P7788stGmeP52/DrKzAwEAEBAa81phDited5FV2MWashx6Wx4+ncuTOSkpJw4cIFREZGIioqCqdPn8bp06exfv16HD9+HPb29g0aWy6X4+uvvwbw7I0aLz5Go+0umvpas2YNxo4dW2d9XY8AERFRy8PkAxERUTOzdu1aDB06VLWvwIucnJwwdepUbN26Ve3Vkg4ODgCA+/fv6zxGBwcHZGdnQwih9bEEbWovjuuKT6FQ1NnX0NAQgOadBrWKiorqFYOu/Zk11oe7uzvc3d3x7bff4tSpU1iwYAEuX76MpUuXIjIyEsD/fTb1PQ/Onj2L6upqWFpaaiQeGsrBwQE5OTkwMjKq9/lBREQtGx+7ICIiamZ27NiBmJiYl7YxMzMDoH5rvZeXFwAgOzsbZWVlGn0qKysxcuRI7Nix40/HWDtXcnKy1nohBIYPH47Fixeryjw8PAAAqampWvtcuXKlzvlq9yd4cY8F4Nlv7l/ciFFfateYk5OD8vJyjfqXrbEuRUVF8PX1RVVVlapMIpHAy8sLYWFhAICLFy+q6l712aSkpGDYsGGqDSSVSiWAuu/WaMijEa+Koby8HP369cO333772mMTEdGbickHIiKiZuiHH35Q21TweeXl5Th8+DAkEgnGjx+vKnd1dYW3tzeqq6uxbds2jX67d+/GiRMn0KdPnz8d3+zZsyGTyXDu3DmcPXtWoz4yMhKxsbHw9PRUlU2aNAl2dna4c+cOjh49qtZeqVTi+++/r3M+S0tLODo64o8//kB2drZaXXN6Y8IHH3wAV1dXPHnyRGtcW7Zsee0xy8vLsWfPHiQkJGjUVVdXA4DaGyVqP5vk5GStF/8bN27ExYsX0bt3bwDP7qaQSCQoKytDYmKiWtvbt29r/XxfZdGiRTA3N8fhw4eRl5enUf/dd9/hwoULGD58+GuPTUREbyYmH4iIiJoZiUSC/Px8DBgwAOHh4cjKysKtW7eQlpaGHTt2wN3dHfn5+QgKCoKrq6ta3927d6NHjx5YtmwZvvnmG+Tm5iIrKwsbNmzAF198gaVLl6reglBZWQmFQoHKykoAwMOHD6FQKFBTU4OamhooFApVAuTFtlZWVvjxxx9hZWWFsWPHIiwsDDdu3MDly5exdu1a+Pv7Y8GCBRg9erQqNqlUioiICEilUvj6+mLPnj0oKChAamoqpk6dCktLSwBQzV1cXKy2ttq9JXx9fZGUlIT8/Hxs3boVaWlpqovv+/fvqx5tKC8v17q+yspKPHnyROv6ysvLX7n2+/fvqx5peLEtAOzduxc2NjZYunQpNm/erDouf/vb31RvyWgIX19fhIeH48qVK7h+/Tqio6Mxd+5cSKVSBAUFqdo9/9mMGzcOBw4cQEFBAS5cuIA5c+YgOjoaP/zwA0xNTQEAjo6OqlezTps2DQcPHsT169dx4sQJjBw5UvWoy/PnR+33tZtQFhcXq/3Z0dERERERUCqVGDp0KA4ePIiCggJcvHgRS5YswcqVK7Fx40b06NGjwceDiIjeMIKIiIialTt37oht27aJadOmie7duwtLS0thYGAgWrVqJZydncWsWbNEYmJinf3Ly8vF6tWrRY8ePYRUKhVt2rQRgwYNEgcOHBBKpVLVLjw8XADQ+MrLyxN5eXla68LDw9XmKiwsFAEBAaJTp07CxMREyGQy4enpKQ4dOqQ21/PS09PFmDFjhJWVlTAzMxPdunUTwcHB4urVq2pz9e/fX62fUqkU33zzjXBychLGxsbC3t5eLF26VFRVVQkHBwe1vtXV1WLlypV1riE+Pl5r3cqVK1+59hfnAiB8fHzUYr1x44aYPn26sLGxEaampsLFxUWsX79eVFdXCwBCIpHU+3xQKpXizJkzIiAgQHTt2lVIpVLVuTB37lyRm5urtV9hYaGYP3++6rOxs7MTH330kUhOTtZoW1NTI0JCQkS3bt2EiYmJMDc3F+7u7mL79u1i1qxZGueHj4+P1mMUHx+vNm5mZqaYNWuWsLOzEyYmJsLe3l6MGjVKxMbG1nv9RETUMkiE0OH20ERERESkUlZWBktLS1hbW2vc2UFERNSS8bELIiIiokaUmJiIX375RWtdVlYWAKBXr15NGRIREZHeMflARERE1IhiY2OxcOFC1WaQz6t904ifn19Th0VERKRXTD4QERERNbKrV69iwoQJSEhIQGFhIdLS0hAYGIhdu3Zh6tSpmDlzpr5DJCIialLc84GIiIioERUWFiIiIgIxMTHIz8/H/fv3YWZmhp49e8LPzw9+fn6QSCT6DpOIiKhJMflARERERERERDrFxy6IiIiIiIiISKeYfCAiIiIiIiIinWLygYiIiIiIiIh0iskHIiIiIiIiItIpJh+IiIiIiIiISKeYfCAiIiIiIiIinWLygYiIiIiIiIh0iskHIiIiIiIiItKp/wc87HiBx4YiIAAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (8,6))\n", - "plot_results.transport(results= results_cost, source= 'SD', sink = 'NY', resource= 'Power', transport = 'Grid')\n", - "plot_results.transport(results= results_cost, source= 'HO', sink = 'NY', resource= 'Power', transport = 'Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAAI6CAYAAAADlg8/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADQYklEQVR4nOzdd3hT1RvA8W8X3bulrFLKHrJkCLJB9gYZIsoUgQIyBAuogMqUIUoRQRBEEJCNLJmCgOyNUGSXDrro3snvj/4aG5K0aRq6eD/P04f03nPPeW+4Td6cnHuOiVKpVCKEEEIIIYTIFdP8DkAIIYQQQoiiQBJrIYQQQgghjEASayGEEEIIIYxAEmshhBBCCCGMQBJrIYQQQgghjEASayGEEEIIIYxAEmshhBBCCCGMQBJrIYQQQgghjEASayGEEEIIIYxAEmshhJqZM2diYmKi8+fhw4f5HWKB8+mnn2Jvb8/nn3+e36EUWJGRkdSvX5/SpUtz/vz5/A4nW4MHD9b5NzBz5kydx+n6+zl+/LjW8mfOnOGjjz6iVq1auLq6YmVlhaenJy1btmT+/Pk8ffo0yziPHz+e5d9rxo+dnR3Vq1dn3Lhx3L9/X6Oev//+W696dP2sXbsWgIcPH2ZZbvDgwWrttmzZUq9yQhQWJrKkuRAis2vXrnHt2jUA3nvvPQCaNWvGiBEjAOjZsye2trb5Fl9euXLlCjt37gTIMpECsLOzIy4uDjs7O2JiYl5+cIXQ1q1b6dOnDwBjxozhu+++y+eIsnbmzBnu3bvHhg0bOHDgAADvvvsuHTp0oFatWtSqVUvrcRl/P0eOHGHt2rV8/vnnVKpUibZt2+Lh4aEq9+zZMz744AN2796Ni4sLPXr0oGbNmtjb2xMSEsLRo0c5duwYVlZWfPLJJ3z66aeYmmr2hYWEhHDo0CEAZs+eze3bt3Fzc2PJkiWqMikpKdy9e5effvqJ4OBgrK2t+fHHHxkwYICqTFhYmOo8ddWjzT///MOcOXP46aefGDx4MHFxcezYsQOATz75hMDAQAB69OhB7969qVChAo0bN1Ydf+jQIUJCQti/fz8bN27k008/pUqVKhrlhCg0lEIIoQOgBJSDBg3K71Dy3E8//aQ6/+xMnTpVaWtrq/T19c2DyAqn8PBwZd26dZUlSpRQnj59Or/D0dvBgwdV10Hbtm31Pq5Lly5KNzc3ZUpKisa+O3fuKL28vJSA8r333lNGRUVprePcuXPKChUqKAFl7969lYmJiVm22aJFCyWg9PLy0ro/PDxc+dprrykBpbm5ufLUqVMG1ZPZsWPHlIDyp59+0ti3efNm1XPn4uKiDA0N1VpHdHS0slSpUjl6foUoqGQoiBBC5NKcOXOIjY1l7ty5+R1KgeXi4sKlS5cICgoqVD2Rbdq0UfU0Hz16lJCQkGyPiYiI4ODBg/Tp0wdzc3O1fTExMXTr1o1Hjx7Rp08f1q1bh4ODg9Z6GjRowOHDh3Fzc2Pbtm1MnDgxV+fi4uKCn58fAKmpqUybNi1X9WWnb9++tGvXDkh/TiZPnqy13GeffUZ4eDjLly9/qfEIkRcksRZCCCF0MDMzo2/fvgCkpaWxZcuWbI/ZunUrKSkpakMtMkyYMIE7d+5gZ2fHd999h4mJSZZ1lStXTjUUafny5fzxxx85P4lMmjdvjpubGwAnT54kMjIyV/WVLVuWTz75hJo1a2rd7+fnh6WlJQDr1q3j5MmTavuvXLnCsmXLmDp1KhUrVsxVLEIUBJJYCyGEEFnInCBv3Lgx2/IbN27Ey8uLJk2aqG2/f/8+69atA9J7czOPuc7K0KFDVfc1fPXVV/qGrVP58uUBUCgUPHjwINd1zZs3j3r16mndX7FiRXx9fQFQKpWMGjWKlJQU1e8jR46kQoUKqjJCFHaSWAshXrobN24wfPhwypcvj7W1Nc7OzjRs2JB58+YRFxeX7fGPHz9m/PjxVKtWDVtbW6ytrSlfvjxvv/02a9asITo6WuOYpKQkNm3axIABA6hYsSLW1tbY2NhQqVIlRowYwe3bt7W2lTGrw5AhQ1TbdM0KoW3miKyEhYUxffp0ateujYODA7a2tlStWpWPPvqIR48eaT2mXLlyavW3bNkSgG3bttG0aVMcHR2xt7enadOm7NmzJ9vnUpu1a9dqnZmhXLlyGmUrVaqEiYkJjx8/zraOjJkd9J3xITExka+//po33ngDR0dHLCwsKFWqFJ07d+a7774jNDRU5zkoFArWrFlD69atcXNzw9LSklKlStGjRw927dpl0POSoVGjRqpk9O+//84yGX369CknT56kf//+GtfDmjVrSE1NBaBbt256t29tbU3btm2B9F7mO3fu5PQU1JiZmakeZyS5OdWyZUut14c2vr6+VKhQAYCbN2+yePFiAH744QfOnj3L999/r+rVFqLQy+9B3kKIggsj3Ly4aNEipZmZmdLc3Fw5dOhQ5cqVK5WLFi1SNmzYUAkoPT09lTdu3NB5/ObNm5VWVlaqG7iWL1+uXLJkifK9995TmpmZKQGlvb298t9//1U7rkePHkpAWaxYMeWwYcOUy5cvVy5YsEDZtWtXJaC0srJSbt26VaO9q1evKtevX68cMWKE6vzXr1+v9nP16lWlUqlUnj59WqOsLseOHVM6OzurboL77rvvlN9//73y7bffVsWzefNmjeN27NihXL9+vbJZs2ZKQNmiRQvll19+qaxRo4Zy4cKFylWrVin79u2rBJQmJibKLVu26Ptfo3Lv3j3l+vXrlTVq1FACyho1aijXr1+v3LFjh1q5mzdvqs7zu+++01pH3759lebm5sq1a9eqblLMeN6qVq2q83qKiopS1qlTRwkomzRpolywYIFy1apVyunTpytLlSql+r98+vSpxrERERHKJk2aKAFltWrVlHPnzlWuXr1aOWXKFKWLi4sSUPbp0yfbm/+yMn36dNW5z549W2e5hQsXKgHltWvXNPY1btxYVcfDhw9z1P6MGTNUx65YsUJrGX1vOixXrpyqroCAAIPqadGihV43N2Y4cOCAqk0bGxvluXPnlM7Ozsp3331X7zqEKAwksRZC6JTbxDpjZg0zMzPlgQMHlMnJycqEhARlQkKCMi4uTvnRRx8pvby8lPXq1VMGBASo9mX8HDt2TOnt7a308vJS/vLLLxr7T58+raxUqZLSy8tLeenSJbV9gwYNUlaoUEH5559/ahy3YcMGpZeXl7Jq1arK+/fva+xPSEhQbty4Uenl5aX08vLSuj8nZW/cuKGsWrWq0svLSzlv3jyN/evXr1d6eXkpvb29lcePH9dax/jx41XPVffu3ZXPnz9X2z9hwgSll5eXsmnTptnGq+tn8eLFSi8vL2X16tWVUVFRGvuXLl2qOs8BAwZorePdd99V9unTR+u+Pn36KL28vJTjx4/X2Dd79myll5eXcvDgwRr7wsLClK1bt1Z6eXkp//33X7V9cXFxqnr79++vEff9+/eVDRo0UHp5eSk/++wzg5+b69evq869bdu2Ost16tRJ5/6Ma7VSpUrK+Pj4HLW/ZcsWVftTpkzJ8vl98803ddbj7++vqqdly5ZZ1tOoUSNlYGCg1p8ePXooGzdurExOTtb79SDjQ2TGB0knJydlSEiIQa8tQhRUMo+1EEKnjK+yBw0apFoAQl/R0dF4enoSHR3NZ599xuDBg0lKSlIro1AoCAgIQKlUYmdnh6urq2qfUqkkMDCQ1NRUrKysdI5HDQ8PJzY2lpIlS1KsWDHV9mfPngFQvHhxrccFBweTlJSEo6MjTk5OGvtjY2MJDw8HwMvLK8tzza5sSEgIiYmJmJubU6pUKa1DRjLi0VUmLCxMNWzGw8MDKysrtf2JiYmqGStKlSqFhYVFljFrk5ycTFBQEJD+vFlbW2vEmJycTMbbhqenp9rcyhn/n05OTlpnusg4R1tbW9UNdBmCgoJITk7GxcUFe3t7jWNjYmKIiIigdOnSajNtZH7udZ13xrGAxvE5kREjoHG9QfqwisDAQJycnHB0dFTbp1AoePLkCQCmpqZ4enrmqO34+HjVUBgbGxvc3d01ymQ8v2ZmZpQpU0ZrPaGhocTHxwPg6uqKnZ2dznqyk9GOpaUlbm5uOmc3yfD06VOqVq1KbGwsANOnTzfKmHEhChLDXl2EECIbv/zyC9HR0bzxxht0794dCwsL3NzcsLCwUEsaixUrRlRUFCYmJnh6eqqSnujoaFUCULp0aZydnbW24+bmRkBAAF5eXmrJZpkyZTAxMdGZRFlaWhIREYGtrS3e3t4a+yMjI1Vxatuvb9nExETV4jHu7u46PyA4OjqqFtNwd3fXSC4tLCx4/vw5JiYmVK1aVSPxTklJIS0tDYASJUpkm+RkJSUlBScnJ0qVKqW2LS4ujuLFi6s+tLi6uqp9KImKiiIhIYFKlSrpHDMbFxeHk5OTRuKXmppKUlISDg4OlC1bVuO41NRUEhMTsbGxUUvm//33X9zc3LC2tlaN431RcnIy/v7+ADg5OWlNSvVhZ2en+vDi6OhIiRIl1PY/e/aM5ORkKleurJF0Jycnk5CQAKT/X2Z3Tb0oNjZW9YFG1zUL6c+vhYWFxvObnJxMWFgYNjY22NjY4OzsTOnSpXW2FxcXh7m5uc4EPSgoCIVCQenSpYmKilKtEJnVdVe6dGkmTpzIF198AaS/RkyfPl3jA5wQhZkk1kKIl+Lo0aMAvP3227i5uakS3RfZ29sTFRWFUqkkLS1N1YOW+UY1R0dHjR7aDFZWVloTpRfLp6WloUwf/gagSnzS0tK01p2551NX2/qUzXxjpYODg866MifWSUlJGueUccOZtbW11kQkcyJnZmaWbcy6ODk5ERoaSmxsrFodsbGxmJiYUKpUKaKiokhKSiI+Pl4tuQwKCsLKykqjtzZDRkKsLT4HBwdCQ0OJjo7m6dOneHh4aPSmvvh7RrIN6c9L5pvyMsvcVnJyssHPjYeHhyqxjo6OxsvLS+2ajo6Oxs7OTmtymfkaUSqVOY4h4zwh/f9a2/EZz29KSorOGxytrKwoWbKk2rdDuuoxNTXV+GYhQ3h4uOqDkL29PQEBAYSFhWWZWKempqpWZQR49OgRs2fPll5rUaRIYi2EeCnu3buHs7Mz1apVw9nZWeeMGZkTwsTERFVSlvmraEOGNQA8f/5clSRm9Oa+SKFQGFS3vjKfx4u9mJm9+Dzoom1Z6xe3vzjCLzU1VTUbxYssLS3V/m8yEuvk5GTi4+OxsbEB0p9LOzs7zM3NcXJyIiQkhOjoaJRKJSYmJiiVSqKiorJM2LJSqlQpYmNjSUhIIDIyksjISCwtLXFycsLZ2VnrkIWMYRmQvgBJxnCPrOh6HvRRrFgx7OzsiI2NJTk5WfVNBKT38CYmJmrtbYf0DxMZz5OuazErmY/JbiiLth5xU1NTihUrluU1aCgTExMcHR15+vQpKSkpOv9eFy5cyPXr1+natatqBpuFCxcyePBgmcNaFBmSWAshXorY2FgcHBywsLDIMjF+cYyutse6ksmsPHr0SNXr7eLiooolI4kMDw9Xjc19mTInRFlNx5d5X1bJfnZT+mnz7NkzVW/4i2rWrKk2bMPe3h5TU1MUCgVRUVHY2NigUCiIjo5WDR1wdHQkJCSE1NRUYmNjsbe3Jy4ujtTUVK3j1fVhYWFBtWrVePbsGaGhoSQlJZGUlERISAghISFYW1vj6emp1iOa+XlydnbWa4iHrl5tfbm4uKjGCEdERKgS64iICExMTHQOWYL0sdFxcXEolUqSkpJyNMVc5g9oGR92dDExMcnVUCB9VKlSRe33jL/xtLQ0rX/v9+/f54svvqBTp07s2rWL5s2b89dff5GUlMSYMWM4cODAS41XiLwi81gLIV6KjDHCGT2aumROjjInPboSbn1k9FRD+ljr8uXL4+bmhqOjIw4ODjg4OOTZvLmZzymre8Uz78tt8pcbpqamqqTs+fPnQPoQB4VCoUqa7e3tVTFmlHn+/Dnm5uZae5Zz0naJEiWoWbMm1apVw8PDQ5WkJSQk4O/vrza0JvM1Ym5urvq/zeonY6EVQ7m4uKiu54iICNXwooiICNWHN10yJ7sZ4631lXG/wYv1FBTZfeAbPXo05ubmrFixAhMTE1auXKnqPT948CDbtm3LizCFeOkksRZCGMXDhw85fvy4ahhDxle7SqUyy6/fM3+dnznZzTyGNKeLWGQeEqBrVpC8kvmcMp/ri3Q9D8ZQqlQp6tevr/VHW1sZw3Hi4uJISUnh+fPnWFtbq8pmfPUP/yXWUVFRODg4GNSjro2trS2enp7UrFlT7Qa6jJvkQP/n1pgyEnhIH1YSHR1NTEwMKSkpuLi4ZHmsq6ur6vnJeN70kfGNAZCnHwqNZePGjRw8eJC5c+eqZkOpVq2a2mqLEyZMUPvwIERhJYm1EMIo1q5dS6tWrQgODgagVatWqn1ZjRnOeDM1MTFR603MPCtGVqszRkdHc+/ePbVhHRmJvLm5uc5hJIaMczVE5vPIKnHIvE/bdHN5KfNwjufPnxMVFaVxQ2LmsfAZs4EYOgwE0qd4i4qK0tie0YudMcQic0+vmZmZ6prJGGKhS1BQEBcuXFBdn7mROYHOGNttamqa7flbWVmpxqBHRETo/YExLCxM9a1N5plaCoq7d+8SFhamdV9kZCQTJkygadOmjB49Wm3ftGnTVENKnjx5wpdffvnSYxXiZZPEWgjxUrz77ruqBFFbwgTpyW3GPldXV7WbsjL3zGV1U9qzZ8+IjIxU+wo+43FWN+1l1zumayjKkydPuHHjht5JkbW1tep5yBg6oE3GOVpaWub7V/0WFhaqhDU4OFg1/V5mjo6Oqt7Xx48f53pc77Nnz3QmZxkxgeYwmYxx1ampqTqvM6VSSXh4eLZjoPXl5OSkuj4iIyN5/vw5Tk5Oeg3h8fT0xMrKSjWvdXZLSSQlJanGx5cqVSpXQ21elqioKJ0fnidPnkx0dDQ//vijxrcZlpaW/PDDD6rfFy9enOvl2oXIb5JYCyFeCgcHB6ZNmwak93pmHhsL6cnOkydPVDc7vTinromJiWqxlZiYGK1JV0REBM+fP8fW1lYtqcucPD19+lQjeYmIiCAmJibL+F+coi1DVFQUycnJOVpkpGzZspiampKUlKRagCWzsLAwVTzlypUz2nCK3MjcI21ubq4xNjnzeOqkpCTVjCG58fz5c63fTmROml9MjF1dXVUfXB4/fqwxJCTjOktMTMTd3d0owyjMzMxUHzQUCgWpqanZDgPJfGzFihVV86g/fPhQ57cncXFx+Pv7k5qaipubGyVLlsx17Hnp5MmTrFmzhs8//1zjZscMLVq0YOjQoUD639nYsWPzMkQhjE5mBRFCqDl9+jSnT59W23bz5k0WLlyY7XEv6tmzJ1evXkWpVHL37l1cXV2xtbVFoVAQERFBXFwcxYoVo9vGJ0BANpGFZLP/fhbH3cj60I1Pst6/Vb3tP0e9homJCbGxsSQlJaklgxlDUuzs7FRJnLW1NZUqVeLff/8lMDCQ2NhYnJycMDExoUuXLpw7d06jyYzVLqOjo0lJSeH+/fu89dZbWsPbuXMnTZs2RaFQcPLkSb766iuuXLlCUFAQ5ubmeHt706FDByZOnKj3UAInJydVT2nm3mldSf8333yjM3nKeE4yevmTkpJU2zKGRpiZmZGcnMzt27dxcXFRLQSTlJREREQEycnJ2NnZaf0AVqFCBe7du0dMTAw3b97Ezc0NKysr1fjw+Ph4rYvS5IaLi4vqW4bM4671YWVlRdWqVXn06BHh4eFERUXh5OSkmos7JSWFmJgYoqOjMTMzw9PTU+fCQikpKaoPrRnPr0KhUD2/pqamevXSJycnq84n48NJWlpajofOxMfHs3XrVgBmz56NnZ0dJUuW5JdffqFt27Zq5xEXF8eOHTuoU6eOaiaaQ4cOMWPGDCpVqkSFChVo3LhxjtoXIr/JkuZCCDUzZ85k1qxZBh//4MEDypUrB6SPrX7w4AElS5ZU9VqnpKRgamqKpaUlzs7OFC9enArTC9dUW/fndMTU1JQHDx7onLKvXLlyGotrpKSk8OzZM54/f66aPi0hIQFLS0vGjh3L33//zaRJk/j444+xtrbG0dGRO3fuEBMTQ1paGpGRkYSEhDB48GAAzp07h6enJw8ePMDCwoIxY8Zw9uxZqlWrxrBhw3j99dextbVl48aNfPfddzg4OLBv3z69k5Vr166RnJxMhQoVVMlZRqKV0Xs6f/58atWqRaNGjXSOMb5w4YLONurXrw+kJ4PPnz9XJcLJyckoFArMzc2xtrbGxcUFNzc3nYl9xswc4eHhxMfHk5aWhpmZGTY2Nri6uho8v7YuCoWCa9eukZqairu7e7bL3usSGxur+gYl8zlnLLTj6uqa5UwjMTExWQ6fKFasGLVq1dIrjtu3bxt0DpD+QSwlJYVixYrpnJP62LFjtGzZUvX7w4cPs1yBMuPDpRCFiSTWQoiXJiOx9vb2znKluXK+e/Mwqtx7OK+z0ets2bIlf/75JzNmzGDmzJm6286UjGT+EANQp04dnj9/zvXr1zVugPz4449ZtGgRZcuW5d69e7ketpGR4L6YLIlXk75/60IUdTLGWgghipC+fftqnVXkww8/BNLHIZ89ezavwxJCiFeCjLEWQogi4uTJkzpvzss8vlifpb8LigMHDvDtt99y7tw5oqOjcXFxoU6dOnTq1In33nvPKLN8CCGEsUiPtRBCFBH29vaq1exelHk2ktdeey2vQsqVqVOn0rFjRwB2797NnTt3WLt2LZGRkXz00Ueq2SSEEKKgkB5rIYR4Bezbtw+ATp06ZXnDWEGxZcsW5s2bR+3atdm1a5fqBj5vb2/eeOMNqlWrlu0c0EIIkdekx1oIIQqQOXPmYGdnp/OnRo0aOa4zPj6eb775Bnt7e7799tuXELXxffXVVwCMGjVKY1YMZ2dn+vfvrzG3thBC5DfpsRZCiAJk5MiRjBs3Tuf+p0+f5ngWjo8//piHDx+yZcsWKlSokMsIX76goCCuX78OQIMGDbSW+eabb/IwIiGE0I8k1jpcuHCBvn370rx585c6j6ZCoSAwMBB7e/sCsdqaEMaUMS9vWlqaztXlCqOXcS4ZwxqcnJyyHKqR+XVCn+d1/vz5rFixgh9//JHu3bsbPfaX8X/74MED1WMXF5cide0UVWlpaSgUCmJjYzVWvxSiKFAqlcTExFCqVClMTXUP+JDEWoulS5fi5+enc+EHgMuXL7N8+XLOnTuHiYkJ8fHxNGvWjDlz5uhcIUubwMBAPD09jRG2EAWOl5cXK1asICEhIb9DMarLly8bvc7Y2FggfQGWrOrPWA0R0lfEjIyM1Fl248aNfPvtt8ycOZNatWq9lLj//fdf1fLnxuLv7696fOPGDa3L2YuCJywsjM6dO/Po0aP8DkUvr60tHDfxCu1uDM5mRd2X5MmTJ1mu4iqJ9QsePXrEsWPHOHv2LHXr1tVZbsOGDVy9epWjR4/i6upKeHg4rVu3pk+fPpw4cULv9jLmm33y5EmOlsTNjSY7muRJO+LlONXzVH6HoLfk5GRCQkIoV65c1otGbC1cKy9m9dpgKDs7OwBKlCiRZf2Zp5erUaOG2gIxmc2ZM4dly5bx66+/0qtXL6PGmlnFihU14lUqlaSmpmJiYkJqamqOFwwpUaKE6rGHh8dLeb6FcSUmJvLw4UMuXLigc2aagkbeCwu3qKioPG0vOjoaT09PresEZCaJ9QvKlCnDzp07sy1XoUIF2rRpo1om19XVlaFDhzJ+/HieP3+uc2nfF2V8revg4JBnibUo3ArTdZKYmEhoaChmZmaYmZnldzhGk9tzuRl2U2NbfGo8AGGJYdyO1L209NOop6rH96LukRiZqFHmm6++Yf0P6/lm7TdUb1Vdrb5FsxZRuXpluvbpmptTUHkc+1hnvDt/3cmn4z7lRmgOe5asoFL1Sty9dZc9f+7BxttGo8gPi37gzs07LFq9KF+G0dVwy/lNpEWZmZkZpqam2NnZycqLIk/k13thdq83hW5WkNOnT1OlShVMTEx4+PCh0evX9w1z1KhRqvlVM8TExGBtbS13qgsh8oVSqWTutLlsWLUBvw1+tGjXQqPM9UvXefzgcT5ElzMfTkhfKXLL2i2kpqaq7QsNDmXt8rW4uLnIvSlCiAKl0PRYJyQk8Omnn7J06dIc38hy4MABFi1axMWLF0lKSqJKlSoMHTqU0aNHZzkAPSfOnDnD8uXL+frrrzWmhhJCCF2iIqNISU4hJSUFgPi4eMJCwrC0tsTe4b+vHNPS0ogMiyQi/L9VEyPCI7C0tMTR2RGLYhZ8MfkLflv3Gy5uLiz+YrHW9h7++5AGTbTPtKGPu//cVfv96aOn3HW5q7VsSFCIwe106NGBf679w+rvVjPu/XF8OPFD3Iq7cfefuyydvRQ3DzfGTdc9e4oQQuSHQpFY37t3j06dOpGUlMT+/ftp166d3sfOnz8fX19funTpwqFDh7C3t2f16tWMHTuWP/74g+3bt2NubvjTsGPHDkaPHk1kZCSff/45I0eONLguIcSr56PBH3Hh9AXV7+uWr2Pd8nV079ed2ctmq7YHPw2mfb32ase+0+4dANbsXEPDJg05sCN9rHpEWAQRYS9n2fKezXuq/f7ZR5+9lHYAJnw+gfpv1mfDqg2MHjCaxIRESnmWonWH1gwdOxQHx8IzLEoI8WooFIn1zZs3adOmDQsWLFDd4KOPkydP4uvrS/Xq1dm+fbuqJ3n+/PlERkayatUq5s+fz/Tp0w2OrWfPnvTs2RN/f3/eeecdDh8+zMGDB6XXWogceDivc36HkG/W7lqrV7nSZUtnO1b5zL0zRogoazkeL51Lzd5qRrO3muVpm0IIYahCMca6c+fOLF++PEdJNcDMmTMBGDt2rEaiO2nSJAAWLFhglKnAKleuzPLlyzl27NhLnfdaCCGEEEIUTIUisTbkDvzQ0FCOHz8OQJs2bTT2V6lShTJlyhAdHc3+/ftzXH98fLzGtpo1awJw5cqVHNcnhBBCCCEKt0IxFMQQFy5cQKFQYGFhoXMJ36pVqxIQEMD58+dzPM9r9erVOXv2rNpiMI8fp99p7+LiovO4pKQkkpKSVL9HR0cD6SswKhSKHMUgXk2F6TpRKBQolUrVjxBFhVzP6jL+xuW9TOSVvL7O9G2vyCbW9+7dA8Dd3V3nzB8lS5ZUK5tT06ZNw8/PDysrK6Kjo5k4cSK2trYMGjRI5zFz585l1qxZGttDQ0NJTNScj1aIFz179iy/Q9BbSkoKCoWC1NRUjSnTRP77fevvzJqk+XqkTb1G9VixeYVB7axcspJV36zSq2yXPl2YsXCGQe3kJbme1aWmpqJQKAgPD5d7jESeyOv3wpiYGL3KFdnEOqMn2NraWmcZG5v0RQdeXL2nX79+3Llzh8DAQHbv3k2dOnXo06eP2k2Ofn5+rF69mnr16mFubk5SUhK1a9fm7NmzVKxYUWebU6dOZeLEiWpxenp64u7uXqgW/hD5p3jx4vkdgt4SExOJiYnB3Nw8V7PviJejVYdW1Hq9ll5lLa0tDW6n3+B+dOjeQa+ytvaFYx0AuZ7VmZubY2pqiqurqywQI/JEXr8X6ntdyyuDFps3b862TOfOnencOeczGVhaWmJpqfkGZWpqarQ5tUXRVpiuE1NTU0xMTFQ/omCxtbPF1u7lJ7KOzo44Oju+9HbyklzP6jL+xuW9TOSVvL7O9G2vyF79Gb2/Wc34kXEDoqNj3r/g+/n5Ub16dRo0MHyhBiGEEEIIUXAU2cQ644bF0NBQnQPOg4KC1MrmJR8fH27dusX58+fzvG0hhBBCCGF8RTaxrlevHqampqSkpOi8OfH27dsA0msshBBCCCFyrcgm1sWLF6dFixYAHDlyRGP/nTt3CAgIwN7eng4d9LupxphkKIgQQgghRNFSZBNrgBkz0qdsWrZsmcbUSIsWLQJg8uTJqtlB8pIMBRFCCCGEKFoKTWIdGhpKcHAwwcHBWW7LrEWLFsyePZubN2/Ss2dPLl26hL+/P76+vqxatYpOnToxderUvDoFIYQQQghRhBWa6fYaNGjAo0eP1LY1bNhQ9VjXKljTpk2jbt26LFq0iNatW5OSkkLlypVZunQpPj4+Bi2Xbgx+fn74+fmRlpaWL+0LIYQQQgjjKjSJ9cOHDw0+tmPHjnTs2NF4wRiBj48PPj4+REdH58t0f0IIIYQQwrgKzVAQIYQQQgghCjJJrIUQQgghhDCCQjMUpKiRMdZCZDKzkA2HmhmV3xEUCJvXbubLyV+qfh81eRQ+U3zyMaJ0l/6+xPtd31f93r1fd2Yvm52PEQkhXhXSY51PZLo9IQTA4O6Dec39NY2f6WOmZ3mcUqlkVP9RdGzQkbCQMLV92up7zf01dv6606ixd+/XneM3jjNo9CCdZXZt2kWj8o3Y89seo7adlZr1anL8xnE++eqTPGtTCCFAEmshhMhXS9cu5fiN49RuUBuAQaMHcfzGcXzn+GZ5XGR4JCePnOTJwydcOntJbd/xG8c5fuO46vclPy3h+I3jdOhh3MWwrKytcPNww8ZW91oAB3YdIDYmlv079hu17axYWFjg5uGGvYN9nrUphBAgQ0GEECJfOTqnD4OxsLAAwMbWBjcPt2yPc3FzYcCwATy6/4hGLRqp7XvxeEdnR73qfBkGDBtAZHgk7wx9J1/aF0KIvCSJdT6RMdZCiNyaNm9afoeQrWZvNaPZW83yOwwhhMgTMhQkn8gYayGEofwW+L3UsdPaKJVKtq7fSu+WvannWY+mVZoyfvB47vnf01r+6eOnajEO7j5Yo0xwYDBzps6ha+Ou1C9bn0blGzGw00BWf7uagEcBWmPYu20vQ3oM4c2Kb1KnVB3a1G7DuPfHsX3DdhLiE3TGHxwYzJQPp9C0SlPqedaj71t9OXHohNayD/59wPKvl/Nux3dpXr05dUvXpd3r7ZgxYQZPHz/VKP/WW29hYmKi+nn48CEbNmygYcOG2NnZqW3PcPXqVbp3746zszM2NjbUrFmTxYsX8++//6rV1bJlS7W2kpOT+eabb6hfvz52dnbY2dlRt25d5s2bR0KC7vMXQuQNSayFEKKQGTJ6CMdvHKd99/Z51uaXU75k5sSZ2DvYs+q3VWw5vIUufbrw8fCPue9/X6N8idIlOH7jOEt+WqK1vpCgEPq26ctfR/5i0sxJ7Dy5k3V71tGwaUO++eobPh33qVp5hUKB7yhfPhn5CSVLl+THbT+y+9RufL/y5b7/fT4f/znfzvlWa1uREZFM/mAynXt3ZtMfm5i3fB5BAUGMfW8sN67c0Cg/b9o8Vn+7mg49OrB211p2ndzF5FmTuXL+Cn3a9OH+XfXz/e233wgKCqJMmTIALFiwgF27drF8+XKuXr3KqFGj1MofP36cxo0bc/LkSZYsWcKtW7f46aef+Pvvv/nggw8AKFOmDEFBQWzfvl11XFxcHG3btmXChAk0b96ckydPcvLkSdq3b8+0adNo0aIFsbGxWp8DIUTekKEgQghRyNjY2WBjZ4OVlVWetHf84HG2rN2CRykPlv+6XHWzYinPUpT2LE2fNn00jjEzM8PNw001hvxFW9dvJSIsgk/nf0rL9i1V26vUqEJ4aDiP7j9SK7/Wby17t+2l2VvNmOM3R7W9rHdZqtWqRrcm3VAqlVrbOnHoBOv3rqduw7oAlPEqw7PgZ8ydNpcta7fw2jevqZV3dXdlwmcTGDhi4H/tlC9LzXo1aVunLQtnLKTrH11V+5ydnVXnDHDhwgXOnj2LiYkJAHPnzmX79u2YmZmRkJDAwIEDSUhIYNOmTXTr1g2AcuXKsWnTJurXr6+qq0SJEmpxTZo0iRMnTjBy5EgWL16s2l63bl2Sk5NZsmQJU6dO5bvvvtP6PAghXj7psRZCCJGl9T+sB9Kn13txBpBqtarx+huv57jOyLBIAIKeBmnsGzhioFpSm5KSwppla9L3fTBQo3wZrzI0e6sZllaWWtvyruitSqoz1KpXC4DbN25rlJ/jN0et/QwlSpWgeMninPnzDMnJybpODR8fH1VSDeDo6EhwcDCenp5s3bqVp0+fUrp0aVVSncHU1BQfH+3zgAcHB7N69WoAJkyYoLF/5MiRAKxZs0aGhAiRj6THWgghhE6pqalcPncZgOq1q2stU75yeY0p/7LzRvM32PTTJpZ8sYRH9x/Re2BvatSuAUClapWoVK2Squytq7d4HvEcgNfqvqatOpauXaqzLU9vT41tjk7pPenRUdEa+xQKBTs27mDf9n3c979PXGycqjc8MSERpVJJWFgYpUqV0tpetWrVdMby559/AlCvXr0cHXvs2DFSU1NxcHCgUqVKGvvLlSuHiYkJ8fHxXL58mTfffFNnDEKIl0cS63wis4IIIQqD5+HPSU5K7511cXXRWsateM6n8mvbpS2TZk7i+6+/Z8vaLWxZu4USpUvwVue36DOoDxUqV1CVDXwSCKT36OoaWpIVJ2cnjW1m5unDNhRpCrXtSqWSce+P4/jB9LnFZyyagae3Jxbm6dMhDukxhJCgkCx7rN3d3XXuCwgIyLLMi8M/Mjx+/BiAmJgY7O21z8+dkfw/fap5g6UQIm9IYp1PfHx88PHxITo6GkfHQracsxDilaRrDLOhhvgMoe+gvhzYeYCDuw5y7q9z/LLyF35d/SsTPp/A4NGDjdJO5mEZ2Tm05xDHDx7Hxc2FHzb/gJ29ndr+jIQ8t+0Z+lx6enpy5MiRLMt4eHgYVLcQIvcksRZCiEJCqVSSnJSMRTELTE3z5hYZJ1cnilkWIzkpmYjwCK1lwp6Fad2uD1s7W3oP7E3vgb0JDw3nJ7+fWOu3lsWzFtOiXQu8K3pTyjN9yIVCoSAqMsqgXmt9XTh9AUgfg/1iUm0MGTOHhIaGat0fHBysdbuXlxcA0dHRVKxY0ehxCSGMQ25eFEKIQiLwSSD1POtx4cyFPGvT3NxcdePfrau3tJbRNt1edrau38q+HfvUtrm6u/LxzI9p1LwRCoWCOzfuAOlju51cnAC4fum61vrm+M7hqylf5TiOFykUiiz35eZDBECLFi0AuHjxotb9//zzj9btrVq1wsLCgufPn3P37l2tZZYuXUqDBg2IjtYcNy6EyBuSWAshhMhSxgwZu7fsJj4uXm3fP9f+yfGNiwCXz17m1x9/1bovNSUVgJJlSgLpy70PHTMUgA0/btAof/efu2z6aROlymq/mTAnar5eE4Ar568QEx2jtu/YgWOq8eaGevvttyldujSBgYHs3r1bbZ9CocDPz0/rcR4eHgwfPhyARYsWaewPDQ1l/vz5eHl54eDgkKsYhRCGk8RaCCHyUcCjAO7+c1e1amBEWAR3/7mr9efhvYcAxMfFExYSRmJiIgAx0TGEhYSRkpwCQFhIGGEh//WsRkVGpZdPSDQoxlYdWtF3cF9CAkMYPWA0l85eIiggiCP7jjBx2ETVdHuquBISSUtLIywkjKjIKCB9yrywkDC1ZPXyuct8MuoTLp29ROCTQG5dvcXcaXO5cOYCbTq3oXb92qqyg30G06lXJ04ePsn0MdP559o/PHn4hH3b9zHqnVG8/sbrvDfiPQBV2xltJSYmqp1/RFiEaljLi2U79uxI1deq8jziOaPfGc25U+d4fP8xOzbuYMaEGZibp4+gDA0NVQ3niIqKIjg4WHUzemhoKMHBwVoXa7G2tuaXX37B2tqawYMHs27dOh49esTFixfp378/derU0fn/sGjRIlq1asUPP/yAj48PV65c4cGDB+zYsYOWLVtia2vL8uXLc/i/K4QwJhOlse9GETmScfNiVFRUnvUy1FxXM0/aES/H9UHavwoviBITE3nw4AHe3t55tphJYXAz7Kbq8eDug1XjevVV/836Wo9Zs3MNDZs05DV37VPSffXtV/R4p0eO2sqQsaT5r2t+5eG/D7GysqJG3RqMGD+Cc6fO8f3X36vKfvb1ZzRt3ZT29TRXhuzerzuzl80mPDScQ3sOcXjfYfxv+hP9PBpHZ0e8ynvR+73edO7dWZXEZo5h77a9bP15K3du3iE1NZUy5crQuVdn3v3gXaxtrIH05dS1tZ1x/u1eb6eaaeTFuCD9g8qyecs4su8IYSFh2NjZULNuTYaNG8an4z5VHevl5cXDhw9VCfKLZsyYwcyZM7U+n1evXuWzzz7jxIkTJCcnU7VqVXx8fGjdujXly5fH29ub+/c1h9ikpKSwcuVKfv75Z27duoWJiQnlypWjR48ejB8/HhcX7TO3vGyF8W9d3gsLt7x+L9Q3X5PEOp9knm7P399fEmuhN0msC7/MibUonGq41Xgp9V6/fp1atWpRt25dLl3K+RCb/FIY/9blvbBwK6iJtQwFySc+Pj7cunWL8+fP53coQggh8tDevXs5c+aM1n23bqXfIFq7dm2t+4UQBZtMtyeEEELkod9++43Hjx9z9OhRjX2rVq0CYMiQIXkdlhDCCKTHWgghhMhjx44dY8iQIZw7d44nT55w5swZ+vbty5EjR5gyZQrNmzfP7xCFEAaQHmshhHiF/L71d2ZNmqVX2XqN6rFi84qXHNGr55NPPqF06dL88ccfdO/enfDwcOzs7Khfvz47duygR48e+R2iEMJAklgLIcQrpFWHVtR6vZZeZS2tLV9yNK+matWqMXv2bGbPnp3foQghjEwSayGEeIXY2tlia2eb32EIIUSRJGOshRBCCCGEMAJJrIUQQgghhDACSayFEEIIIYQwAkms84mfnx/Vq1enQYMG+R2KEEIIIYQwAkms84msvCiEEEIIUbRIYi2EEEIIIYQRSGIthBBCCCGEEUhiLYQQQgghhBFIYi2EEEIIIYQRSGIthBBCCCGEEciS5jpcuHCBvn370rx5c9auXZvf4QhRpNVcVzO/Q8iR64OuG62u3i17c+fmHY3tJiYm2Nnb4eTiRPVa1WncsjGde3fG2sZar3oP7DzAxx98jHdFb/ac2aN3PEqlksN7D/PH7j+4dvEaEWERKBQKXNxcqFC5Aq83ep1mbZpRrVY1vesUQohXhfRYa7F06VIGDBhAeHi4zjKnT5/mnXfeoWrVqrz22mvUqlWLb775htTU1DyMVAhR2K3evprjN45Tu0FtAAaNHsTxG8c5cu0I6/euZ9y0cZiamfLFx1/QpnYb9vymX5K8bcM2AB78+4BLZy/pdUzgk0Deaf8OUz6cgltxN+Ysm8Ouv3axYf8GfGf7YmpmyrdzvqVPmz50bdzVsBMWQogiTHqsX/Do0SOOHTvG2bNnqVu3rs5y3bp1o3///ty4cQNzc3POnj1Ly5YtuXPnDt9//30eRiyEKMycXJwAsLCwAMDG1gY3DzcAipcoTsWqFenYsyPvj3yfse+NZeroqTx5+ITRk0frrDPwSSBnT5zF2dWZyPBItm/YzutvvJ5lHBlJdUJ8Amt3raV2/dqqfaU8S1H1taq06dSGXZt3MX3MdB78+yCXZy6EEEWP9Fi/oEyZMuzcuRNnZ+csy5mZmTFnzhzMzdM/m7zxxhv06dOH1atXk5CQkBehCiFeITVfr8m3P3+Lubk5yxcs58ShEzrLbt+4nQpVKjBy0kgADu46SFxsnM7ySqWSScMnER4azhjfMWpJ9Yu69+tOqw6tDD8RIYQowgpdYn369GmqVKmCiYkJDx8+NHr9ZmZmepV78uQJDg4OattKlSpFSkoKcXG638CEEMJQterVom3XtgAs+WqJ1jIKhYJdm3bRa0AvuvTpgqWVJQnxCezfsV9nvUf3H+X6petY21jz9sC3s42j98DelPIsZdhJCCFEEVZoEuuEhAQmTZpE8+bN8ff3z9GxBw4coG3btri4uGBra8vrr7/OsmXLUCgUBsdTrFgxjW13796latWquLm5GVyvEEJkpWPPjgDcvXVX63CM08dOEx4aTte+XXF0cuStLm8BsOPXHTrrPLDzAJDeK25jZ5NtDC3bt+SPS38YEr4QQhRphSKxvnfvHnXq1GHbtm3s36+710Wb+fPn07FjR6ysrDh06BCXL1+mbdu2jB07lh49ehjtZsPAwED279/Pl19+aZT6hBBCm+q1q6seX7t4TWP/9g3badOpjWrsdu+BvQG4ev4q9/zvaa0zox7vSt5GjlYIIV4thSKxvnnzJm3atOHGjRu0bdtW7+NOnjyJr68v1atXZ/v27dSrV4/KlSszf/58PvjgA/bs2cP8+fNzHZ9CoWDEiBG89957vP129l+jCiGEoZxd/rv/IzxUfeaiiLAIjh08pkqmARo2aUhZ77JAetKtTUY99g72xg5XCCFeKYUise7cuTPLly/Hzs4uR8fNnDkTgLFjx6ruuM8wadIkABYsWJDrmw0nTpyImZkZfn5+uapHCCGyo1QqVY9NTEzU9u35bQ8epTx4o9kbatszEu09v+0hJSVFo84X6xFCCGGYQjHdnr43FGYWGhrK8ePHAWjTpo3G/ipVqlCmTBkCAgLYv38/vXr1Mii2zz77jDt37rBr1y7VDCFCCJGVtMTSmhsVlgAoUx207/+/sMAnqsfOjhXVym77ZQ89+w5GkVRG7ZiuPUfy3dzviAiN4NjvN2jTsYvafhe34jx9/IjoCEWWbQshhMhakc0EL1y4gEKhwMLCggoVKmgtU7VqVQICAjh//rxBifW8efM4ffo0e/fuVd3MOGvWLLp06UK9evW0HpOUlERSUpLq9+joaCB9OElubqYUr47CdJ0oFAqUSqXqp6jIz3O5ee2K6nGteg1Uj69cOMt9/9usXLqQH5dpzhiSlpYGwI7N6zUS69qvN+Dp40c8uHf35QRdBBWl69kYMv7GC9N7Wcw/8/I7BJELeX2d6dtekU2s791Lv0nH3d0dU1PtI15KliypVjYnvv32W+bOncuCBQvYunWravuRI0do0aKFzuPmzp3LrFmzNLaHhoaSmJiY4zgMIS8mhduzZ8/yOwS9paSkoFAoSE1NLVKrkubnuRzYlb6iYuVqNfDy/q/TYMemX2ja6i0+maX9vpGLZ08zc/JYTh8/wrPgIIqXKKna175rT/bt3Mr1yxeJj4/DxsY2yxgunT3Nk0cPqdugEWW9yxvhrAqfonQ9G0NqaioKhYLw8HCNoZdCvAx5/V4YExOjV7kim1hn9ARbW1vrLGNjkz6tVFRUlNr2fv36cefOHQIDA9m9ezd16tShT58+TJ8+XVVm/PjxKJVKRo4cmaO4pk6dysSJE9Xi9PT0xN3dXWNebCG0KV68eH6HoLfExERiYmIwNzcvUkOl8utcLp07w9EDvwMwzvdz1fb4uFj++H0nXy7205nolizjyZLZnxP1PJLdv21k+NhJqn0t23WiTv2GXLlwju0bf2bg8FE6Y4iPj2PCB+8RHx/H7yf1Wyq9KCpK17MxmJubY2pqiqurK1ZWVvkdjngF5PV7ob7XtbwyaLF58+Zsyxj6FYSlpSWWlpb4+fnh5+en+nrW1NRUZ8+6EJkVpuvE1NQUExMT1U9RkR/ncvXiOSZ9OIi0tDRGTZpKs9btVPsO7N6OhYUFLd7qoPN4CwsL2nftyZb1a9i1RT2xBliw/CcGdmuL38I51Hq9PrVeb6BRR1paGrMmj+N5ZATjfD/Ho+Sru0hMUbqejSHjb1zey0ReyevrTN/2imxindH7m9WMH/Hx8QA4OjrmSUyZ+fj44OPjQ3R0dL60L4QoGJ5HRpCakkJKSjIA8XFxhD0LQaFQEBMdxb93/uHwvj0c3rcLO3sHvvrme7r27g9AYkICsTHRbP91PU1avUXU80gcnZyx0LKAVUR4GI2bt2bL+jU8fnif44f281rt13Er7gGAR8lS/LzzAB+PHMLQPl3o994w2nTsQonSZYiNicb/n5tsXP0Dt65f4YOxkxjmMyHvniQhhCgkimxinXHDYmhoKAqFQusnjaCgILWyQoj8cX3Q9fwOId+M6N+dO7duqH7/eeUyfl65DBMTE2xs7XBycaF6zTp8OncxHXu8rTb++eCeHXw+yQeA65cvsG/Hb/y4ZQ8NGjfVaOfdLq0JDPhvRpGPhg4A4OqTSNW2kqU9+WX3IY7s38P+XdvwHfsBEeFhmJmZU7J0Geo3asKMr5dSpXpNoz8PQghRFBTZxLpevXqYmpqSkpLCvXv3qFSpkkaZ27dvA9CggeZXni/bi0NBhBCvpi0HTxp8bPe+A+jed4BeZfef0VylURsTExPe6tSNtzp1MzguIYR4VRXZgVDFixdXzc5x5MgRjf137twhICAAe3t7OnTQPS7xZfHx8eHWrVucP38+z9sWQgghhBDGV2QTa4AZM2YAsGzZMo2pkRYtWgTA5MmTVbODCCGEEEIIYahCk1iHhoYSHBxMcHBwltsya9GiBbNnz+bmzZv07NmTS5cu4e/vj6+vL6tWraJTp05MnTo1r05BCCGEEEIUYYVmjHWDBg149OiR2raGDRuqHutaBWvatGnUrVuXRYsW0bp1a1JSUqhcuTJLly7Fx8fHoOXSjUHGWAshhBBCFC2FJrF++PChwcd27NiRjh07Gi8YI5Dp9oQQQgghipZCMxRECCGEEEKIgkwS63zi5+dH9erV82WqPyGEEEIIYXySWOcTmW5PCCGEEKJokcRaCCGEEEIII5DEWgghhBBCCCOQxFoIIYQQQggjkMQ6n8jNi0IIIYQQRYsk1vlEbl4UQgghhChaJLEWQgghhBDCCCSxFkIIIYQQwggksRZCCCGEEMIIzPM7ACGE+KdqtfwOIUeq3f7HaHUN69OFC3+f0rnfysqa0mW9aP5WewaPHMfd27cY3rerRrlub7/Dl0uWa2zftWUjn0/yUdv2xSI/uvcdkPvghRBCqJEe63wis4IIIQAWr1zPkYu3qV0v/bXg/RFjOHLxNkcu3mb/mat8s3oDbsU9+Gn5Ut5u2xT34h4cuXibD8ZOAtIT771/XWbKrLla62/ftSdHLt6mfqMmdOjWiyMXb9O+a888Oz8hhHiVSGKdT2RWECEEgKOzM27FPbCwKAaAja0tbsU9cCvuQakyZWncvBUrNmynRq26hIYEMWPyWNyKe9DnvSGYmpqSmJjAxbOnsXdw1Fq/lbU1aWmpXD7/N30GDsWtuAdW1tZ5eYpCCPHKkMRaCCEKOFNTU3q+8x4AV86fJTgwAI+SpWncvBUA2zf9nOXxOzdvpLSnF/UbN3npsQohxKtMEmshhCgESpYuo3ocEhQIQM/+/yXbD/7113qcUqlk55Zf6NF/4MsPUgghXnGSWAshRCHwLCRY9djJxRWAlm074vz/x9t/Xa/1uL9PHudZUCDd3n7npccohBCvOkmshRCiEPhjz04Ayleuipd3BQAsihWjc69+AOzZtomUlBSN47b/up6mrdri7lEiz2IVQohXlSTWQghRQCmVSp4+ecwXn4znzImjWFnbMHPBUrUyPfq9C0BkeBjH/9intu95ZATH/thLTxkGIoQQeUIS63wi0+0JIbT5cdliGlUpQ6MqZWhQsQSd3qzNvp1badu5O5v2HaN2vYZq5StVrc5rdeoBmsNB9mzdhJOTC83atM+z+IUQ4lUmC8TkEx8fH3x8fIiOjsbRUfs0WUKIV0+fgUMYMORDAExMTChmaYlbcQ/MzMx0HtOz/0BuXLnI3yePEfT0CSVLewKwY9N6uvV5J8tjhRBCGI/0WAshRAHi6ORMWe/ylPUuj2c5bzxKlso2Me7QrRdW1jYoFAp2bdkIwLVL57l/9w49+skwECGEyCuSWAshRCFnZ+9A287dANi1ZQMKhYLtv66nXqMmlPUun8/RCSHEq0MSayGEKAJ6/r9nOjDgCUcP/M7BPTvkpkUhhMhjklgLIUQRkN47nT4N36wpH2FmbkbbTt3zOSohhHi1SGIthBD5KCoykrBnIaSkJAMQHxdH2LMQwp6F5LiujKn3oqOe06n721haWRk1ViGEEFmTWUGEEPmu2u1/8juEfDNxxHtc+PuU6vefVy7j55XLALj6JDJHdXV7+x38vp5NWloaPd9536hxCiGEyJ4k1kIIkY9W//a70epy9yjBpYdhRqtPCCFEzshQECGEEEIIIYxAEut8IisvCiGEEEIULZJY5xMfHx9u3brF+fPn8zsUIYQQQghhBJJYCyGEEEIIYQSSWAshhBBCCGEEklgLIYQQQghhBJJYCyGEEEIIYQSSWAshhBBCCGEEklhn4cKFC5QvX57BgwcbpZwQQgghhCi6JLHWYenSpQwYMIDw8HCjlBNCCCGEEEWbJNZaPHr0iGPHjnH27FmcnZ1zXU4IIYQQQhR95vkdQEFUpkwZdu7cabRyQgghhBCi6CuUPdanT5+mSpUqmJiY8PDhQ6PXb2ZmZtRyQgghhBCi6CtUiXVCQgKTJk2iefPm+Pv75+jYAwcO0LZtW1xcXLC1teX1119n2bJlKBSKlxStEEIIIYR4lRSaxPrevXvUqVOHbdu2sX///hwdO3/+fDp27IiVlRWHDh3i8uXLtG3blrFjx9KjRw9SU1NfUtRCCCGEEOJVUWjGWN+8eZM2bdqwYMEC7Ozs9D7u5MmT+Pr6Ur16dbZv346FhQWQnmxHRkayatUq5s+fz/Tp019W6EIIIYQQ4hVQaBLrzp07061btxwfN3PmTADGjh2rSqozTJo0iVWrVrFgwQImTpyItbW1MUIVQuSQ38ij+R1CjvisaG20uob16cKFv09pbO/29jt8uWS5zuOUSiVjBvXl0f17rN2+H7fiHqp9tT21z1L0xSI/uvcdkPughRBCaFVoEmtDbhQMDQ3l+PHjALRp00Zjf5UqVShTpgwBAQHs37+fXr165TbMbCUlJZGUlKT6PTo6GgCFQiHjvYVeCtN1olAoUCqVqp+iwpjnsnjlelJSkpk44j2uXjzP+yPGMOjDMVhaWWV5XGREOH8dOwzA5fN/07Zzd9W+IxdvA9CmXlUAFq38mTr1GmJn72C0uF91Rel6NoaMv3F5LxN5Ja+vM33bKzSJtSEuXLiAQqHAwsKCChUqaC1TtWpVAgICOH/+fJ4k1nPnzmXWrFka20NDQ0lMTHzp7YvC79mzZ/kdgt5SUlJQKBSkpqYWqXsZjHkujv+fA9/CohgANra2ar3Puri4utF/8Ac8fnCfN5q2VNv34vGOTs561Sn0V5SuZ2NITU1FoVAQHh6u8e2wEC9DXr8XxsTE6FWuSCfW9+7dA8Dd3R1TU+33aZYsWVKt7Ms2depUJk6cqPo9OjoaT09P3N3dcXCQ3iSRveLFi+d3CHpLTEwkJiYGc3NzzM2LzstNQTmXqV8uyO8QXlkF5RooKMzNzTE1NcXV1RWrbL5tEcIY8vq9UN/ruki/MmQMs8hq7LSNjQ0AUVFRatv79evHnTt3CAwMZPfu3dSpU4c+ffpo3OSob7kMlpaWWFpaamw3NTXVmfwLkVlhuk5MTU0xMTFR/RQV+X0u3y+ex4ol81W/y9jpvJff10BBk/E3Lu9lIq/k9XWmb3tFOrHOjc2bNxu13Iv8/Pzw8/MjLS3NoOOFEK+uQR+Ooc/AIcyfMZU/ft+R3+EIIYT4vyL9sTJjaEVCQoLOMvHx8QA4OjrmSUwZfHx8uHXrFufPn8/TdoUQhZ+NrR1uxT3kK3chhChginRinXHDYmhoqM67OYOCgtTKCiGEEEIIYYginVjXq1cPU1NTUlJSdN6cePt2+rRUDRo0yMvQ8PPzo3r16nnerhBCCCGEeDmKdGJdvHhxWrRoAcCRI0c09t+5c4eAgADs7e3p0KFDnsYmQ0GEEEIIIYqWIp1YA8yYMQOAZcuWacw7umjRIgAmT56smh1ECCGEEEIIQxSqxDo0NJTg4GCCg4Oz3JZZixYtmD17Njdv3qRnz55cunQJf39/fH19WbVqFZ06dWLq1Kl5dQoqMhRECJFTSqWSpMREWdlOCCEKqEKVWDdo0ICSJUuqFnUBaNiwoca2F02bNo19+/aRkJBA69atqVu3LgcPHmTp0qXs3r07Xyb6l6EgQoicCgx4QsNKJbl49nR+hyKEEEKLQjWP9cOHDw0+tmPHjnTs2NF4wQghhBBCCJFJoUqshRCiqAl4/IiE+DgS/j+nfkRYKHdv39JaNjQkfchbfFwsYc9CSExMBCA2JpqwZyE4OjljUawYYc9C1I6Leh5J2LMQ7OwdsMpiJVohhBC5Y6JUKpX5HcSrKPPKi/7+/kRFRakWtHnZyvnuzZN2xMvxcF7n/A5Bb4mJiTx48ABvb29ZzCSTawHPVY+H9enChb9P5ej4+o2aaD3mxy17aNC4KbU9nbUeJ0ufG0+tMk75HUKBUhj/1uW9sHDL6/fC6OhoHB0ds83XpMc6n/j4+ODj46P6jxJCvJpW//a70eu8+iTS6HUKIYTIXqG6eVEIIYQQQoiCShJrIYQQQgghjEASayGEEEIIIYxAEut8IgvECCGEEEIULZJY5xNZIEYIIYQQomiRxFoIIYQQQggjkMRaCCGEEEIII5DEWgghhBBCCCOQxDqfyM2LQgghhBBFiyTW+URuXhRCCCGEKFoksRZCCCGEEMIIDE6sT5w4QWpqqjFjEUIIIYQQotAyOLFu1aoVkZGRxoxFCCGEEEKIQsvgxFqpVNKlSxfWrFlDfHy8MWMSQgghhBCi0MnVGOvXX3+d6dOnU7JkSUaMGMGFCxeMFZcQQgghhBCFSq4S61mzZvHkyRN++uknnj59SqNGjahTpw7Lly8nKirKWDEWSTLdnhBCCCFE0WJu6IEPHjzA3d0dExMTevXqRa9evQgICGDNmjV8/fXXTJ48mT59+jB8+HCaNm1qzJiLBB8fH3x8fIiOjsbR0TG/wxEiXy3q1yW/Q8iRSZt/N1pdHRvXIjDgier3dl168vX3a7SWPX/mL4b37aqxfeSETxg10VdtW2JCAru3/srJo39w5+Z1nkdEAODo7EK5ChWpVbc+bzRrSb033sTMzExnfCFBgfz2y0/8ffI4AY8eEBMdhbWtLWXKlqPaa7Vp2KQ5zVq3xc7e4aXWIYQQhYGJUqlUGrtSpVLJ1q1bGTFiBNHR0VSuXJkPPviA999/Hzc3N2M3V6hlJNZRUVE4OOTNm0o537150o54OR7O65zfIegtMTGRBw8e4O3tjZWVlc5yr1pifS3guepxRHgYirQ0Jo54j6sX0+e1nzJrHu8O/VDjuJTkZKKep9803qZeVabMnEv7rj2xsbXFxtZOVe7MiWN8OmEUKcnJDBg2ksbNWuLuUYK4mBieBjzm922bObJ/DwqFgrLlyrPn5EWtca5ftZzv5n9JuYqVGDhsFDVq18XSypqQwACuXDjLhjU/EB76DEtLK6bNXkiPfu++lDoKolplnPI7hAJF37/1gkTeCwu3vH4v1DdfM7jHWpdTp06xatUqtm7dqrqpMTg4mBUrVjBt2jR69uzJ9OnTee2114zdtBBCFDourumdDRYWxTA3Nyc1NZXFX31GzTqvU+t19aFiFsWK4VbcQ/W7nb2D2u8Ah/fvYfLIwXiVr8iqTbtw9yihtr9StRq0bNuRXVs2MuPjMURHPdca19J5s1jj9w3tu/Zk7ner1Hq1y5T1ol6jJvR9fxjD+3Xj9o1rBD198lLqEEKIwsTgMdZmZmY8e/YMgLCwMBYtWkT16tVp3rw5P//8M/Hx8TRr1ox169YRFBSEv78/hw8fxtzcnIYNG7JlyxajnYQQQhQFbTt3p2bd+qSmpDB51BAiI8JzdHxwYACfjh+FUqlk7rcrNZLqzLr3HUCTlm207jtx5CBr/L7B3aMkMxd+p3OoiL2DIzO//u6l1SGEEIWNwT3WSqWSQ4cOsWvXLnbv3k1KSgpKpZLixYvz/vvvM3z4cCpXrqx2TNOmTWnatCndunVj+vTp9O3bN9cnIIQQRYWFRTEW/bCWfh1bEhz4lKljR7B8/W+YmurXB7Jm+VIS4uOo98abVKtZO9vyw8ZM5PTxIxrbly34CoCe/QdiY2ObZR3VXqtFwybNsXdQv1fEGHUIIURhk6uhIO+//z5KpRJTU1Pat2/P8OHD6datG+bmWVdbu3ZtHj9+nJumhRCiSPIoWZoFy9cwckBPzpw4yg/fLNC4MVGXw/t2A/BG05Z6lX+9YWNeb9hYbdvDe3e5c+sGAI2attCrnlWbdhm9DiGEKIxyNd2ep6cnM2bM4MGDB+zbt49evXplm1QfOnSIAQMG4OrqmpumhRCiyGr4ZjM+8p0BwMqlX3NKS6/yi54+eUx4aPrwPO+KlQxu+9ql/9YjKFexchYlX24dQghRGOWqx/rcuXMUL148R8fEx8fTuHFjKlUy/IVfCCGKukEjx3Lj6iX++H0n08aNYPOBPylRqozO8hFhoarHuZm2Ljzsmeqxg4FDM4xRhxBCFEYGJ9Y//fSTQfMvd+/ene7duxvarBBCvDJmLfyOf/1vc9//Nh+PHMJPW/diUaxYruoc3q8bN65cUt82ZgLDx04CwMTEJFf1G6sOIYQojAweCjJo0CD8/f25du0aN2/e1Nj/+++/ExwcnKvghBDiVWZja8eSlT9jZ2/P9csXWPjlpzrLuri5qx7HROte+Xb2N9+z5cAJthw4QYXKVUmIjyMlJUW139Xtv28ho7OoJyvGqEMIIQojgxPrv/76izp16lC3bl2aN2+usX/p0qV4eXmxatWqXAVYVMmS5kIIfZSrUIkvF3+PiYkJm9au4sDu7VrLlfYsi6t7ekJ7z/+2zvo8SpamrHd5ynqX17qQR616/70mPfzX36CYjVGHEEIURgYn1r/++isWFhbMnj1ba4/1mjVrGD9+PKNGjeLIkexvvHnV+Pj4cOvWLc6fP5/foQghCrjWHTozdPR4AGZN+YgHOpLVtzp1A+D0n0cNbsvLuwJVX6sFwNlTJ7ItHxcbw64tGzm0979ZPYxRhxBCFEYGJ9YnT57ks88+w9fXlxIlNBch8PT0ZP78+UyePJkFCxbkKkghhHjVjZnyKY2atSI+LpaJHw7SWmaYz3hsbO24fvkCl86dMbitjBlJdmz6hfj4uCzLblr3I59P8uHC36eMXocQQhQ2BifW9+/fp1u3btmWe+edd7h+/bqhzQghhABMTU2Z7/cjpcp4cl/HUA+PkqX5asn3mJqaMn38SAIeP9JZX2xMtM6VHd9s0ZpRE315FhzIzI/HkpaWprXctUvnWb1sCcVLlNKYa9sYdQghRGFj8KwgCoUCe3v7bMs5ODjw/PlzQ5sRQogiLSI8DEVaGikpySQmJhL2LARTMzNcXN00yjo5u7Doh58Z3KsjSUmJWutr07ELfj//xqcTRtG3fTPeGfwBzdq0o3iJkqSlphHw+CFnThxl92+/EhkRToXKVXmjieZ9MiMnfIK9gyPfzJ3JO51b8d7w0dSoXZdillYEPw3g2MG9bN24juIlSrJ09QacnF1eSh1CCFGYGJxYe3l58ccffzBixIgsy/3xxx94eXkZ2owQQhRp73ZpTWDAk///dp4/ft9BqTKe7D9zTWv56rXqMG32QmZ8PEZnnW+2aM3eU5fZvWUjJ44cZNdvv/I8MhxTE1PsHR3x8q5A17ffoVW7jtRt2Fjn9HjvDhvJW526snndajasWUHAowckxMdj7+hE5Wo1mPTZl/To+y7FLC11n58R6hBCiMLCRKlUKg050NfXlxUrVrBmzRp69eqltczWrVv54IMPGDlyJHPnzs1VoHntwoUL9O3bl+bNm7N27dqX1k50dDSOjo5ERUXh4GD4og45Uc53b560I16Oh/M653cIektMTOTBgwd4e3trnYHiVXUt4Hl+hyByqVYZp/wOoUApjH/r8l5YuOX1e6G++ZrBPdaffPIJv/76K3369KFkyZLUr18fd/f0eVRDQ0O5cOECQUFBeHp6MmXKFEObyRdLly7Fz8+P8HDt4w8zBAYGMm7cOG7cuIFCoaBFixYsWrQozxJkIYQQQghRcBicWDs7O3P48GF69+7NjRs32L17t+rrxIxO8Ndee41t27bh7OxsnGjzwKNHjzh27Bhnz56lbt26OsslJibSpk0bmjRpwq1bt0hNTaVr16707t2bQ4cO5WHEQgghhBCiIDA4sQaoVKkSV65cYdeuXfzxxx88epR+B7qXlxft2rWje/fumJoaPPFIvihTpgw7d+7Mttzq1au5e/cuJ06cwNTUlGLFijF37lzq1avHwYMHad++/csPVgghhBBCFBi5SqwhfQqonj170rNnT2PEk63Tp08zZMgQ/P39efDgAeXKlTNq/WZmZnqV27lzJzVq1FANfwGoW7cuDg4ObN++XRJrIYQQQohXzEvvTo6Li+OLL77IdT0JCQlMmjSJ5s2b4++fsyVyDxw4QNu2bXFxccHW1pbXX3+dZcuWoVAoDI7nxo0beHt7q20zMTHBy8tL5u0WQgghhHgFvfTEOjY2llmzZuWqjnv37lGnTh22bdvG/v37c3Ts/Pnz6dixI1ZWVhw6dIjLly/Ttm1bxo4dS48ePUhNTTUopvDwcK3zeDs4OGR706MQQgghhCh6cjUUJDAwkLVr13LlyhUiIyO1rqyVnJycmyYAuHnzJm3atGHBggXY2dnpfdzJkyfx9fWlevXqbN++HQsLCyA92Y6MjGTVqlXMnz+f6dOn5zpGIYQQQgjxajM4sT537hxt27YlNjaW7KbC1rX4gL46d+6s1/LpL5o5cyYAY8eOVSXVGSZNmsSqVatYsGABEydOxNraOkd1u7i4EBMTo7E9JiYGV1fXHMcqhBBCCCEKt1zNY52amsr48eN54403cHFx0UheIX3IRJ8+fXIVpL43FGYWGhrK8ePHAWjTpo3G/ipVqlCmTBkCAgLYv3+/zkVudKlZsyYPHz5U26ZUKnn06BH9+vXLcbxCCCGEEKJwy1WP9XfffcfQoUOzLBcSEpJtj/bLcOHCBRQKBRYWFlSoUEFrmapVqxIQEMD58+dznFj36NGD8ePHExYWhpubGwBXrlwhKioqy7qSkpJISkpS/R4dHQ2AQqHI1c2U4tVRmK4ThUKBUqlU/QhRVMj1rC7jb1zey0ReyevrTN/2DE6sixUrRqtWrbIt5+HhkS9/ZPfu3QPA3d1d51zaJUuWVCubE8OGDWPZsmVMmzaNFStWkJqayrRp03jrrbeynGpv7ty5Wm/mDA0NJTExMcdxiFfPs2fP8jsEvaWkpKBQKEhNTTX4RmEhCiK5ntWlpqaiUCgIDw/X+u21EMaW1++F2ob/amNwYt2sWTOePHmiMeXci1JSUjhz5gzNmzc3tCmDZPQEZzV22sbGBoCoqCi17f369ePOnTsEBgaye/du6tSpQ58+fdRucrSysuLw4cOMGzeO6tWro1AoaN68OYsWLcoyrqlTpzJx4kS1OD09PXF3d5el0IVeihcvnt8h6C0xMZGYmBjMzc0xN8/1tPlCFBhyPaszNzfH1NQUV1dXrKys8jsc8QrI6/dCfa9rg18Z5s2bx+jRo9mwYQOlS5fWWS4iIoJWrVppnTGkoNq8ebNe5UqXLs22bdtyVLelpSWWlpYa201NTQvdKpUifxSm68TU1BQTExPVjxBFhVzP6jL+xuW9TOSVvL7O9G3P4MR669atlC5dmvLly9OmTRsqVqyIq6urxotNbGysoU3kSkbvb0JCgs4y8fHxADg6OuZJTJn5+fnh5+dXqD5wCCGEEEII3QxOrGfOnImJiQlKpZIDBw5oLZOxPz8+2WfcsBgaGopCodD6SSMoKEitbF7y8fHBx8eH6OjofEnshRBCCCGEceVqkNjEiROzXbAlJiaGJUuW5KYZg9SrVw9TU1NSUlK4d+8elSpV0ihz+/ZtABo0aJDX4UmPtRCiSHnwrz9+C+dw/fIFIsLDcHF1o9brDZkwfSalypQlJOgpyxfN4/yZk4SGBOPo5EL1mrUZ/fE0qtaomd/hCyGEUeQqsZ48eXK2g8eDg4NZvHhxbpoxSPHixWnRogXHjh3jyJEjGon1nTt3CAgIwN7eng4dOuR5fNJjLcR/AnxP5ncIOVJmXrOX3kZoSDDt33gt/VvBv6/jUbKUXsf9c/0qWzeu5eLfp3kWHERqSgoubm68Vqceb3XqRrsuPYw+NjE8LJQhvTthZm7OF4v88CpfkeN/7OPrWdPo+/5QXN2K80H/HjwLDuKLRcuoXqsu1y6e47OJo2nTsWuOE+uEhHi2rFvN0YO/c/+uP/Fxsdg7OuFe3INyFSpRp0EjXm/QiGo1a6uO+X7xPFYsma9Wz6iJvoyc8IlebY4fPpBjB/eqbcuYcm/w4MGsW7dO57EmJiY4OTlRp04dRo4cSd++ffU9VSFEIWPwq+v69etxcnLKtpyrqyvHjh0ztJlcmTFjBgDLli3TmBopY/aOyZMnq2YHEUKIgmLXlg2kpaWhUCjY/dvGbMsnJSYya8pH9O/UkpDAp4yd8hkb9x5lx7GzfLF4Oc4urkz/6EP6d2pJwKOHRo11347fiIwIp2f/92jSsg1lynoxcPgo3h02EvfiHvx17DCP7v9L6w6dadelB2XKetGpZx9GfDQFr/I5G4oXGhJM/44t+Xb+F9Su15Bl6zaz5+RF1u04wIiPJhP0NIAFM3wZ8nZnteMGfTiGIxdvM2XmXNW2X1Z/T0x01ItNaLhz6zrH/9gHgEfJUhy5eFs1lBBg6dKlBAUFqRLmvn37EhQUpPq5fPkyM2fO5PLly/Tr148pU6bk6JyFEIWHwT3W7777rl7lLCwsaNGihaHNqISGhmoMmwgNDVVNf1KiRAmNY1q0aMHs2bOZPn06PXv2ZNasWdjZ2bFmzRpWrVpFp06dmDp1aq5jE0IIY1IqlezcvAFnF1ciI8LZuXkDw8dO0nm/SmpqKhM+GMip40eYOP0LBo0cq7a/tGdZGr7ZjPZde+EzqC8Du73FL7sPU8arnFHifXT/XwBKlfFU256RxB79f09vqdLq+z8cPznHbS3+6jMe3rvLR1NnMHT0eLV9Xt4VaNLqLQZ2fYvAgCdq+2xs7bCxtcPOPv3GdkcnZ6KeR7JhzQ+MHJ91orty6UIcHJ2Ieh6JmZkZbsU9KFHCSbXf0dERR0dH1fSu1tbWau9JJUqUoHbt2ri4uPDee++xcOFChg4dStWqVXN8/kKIgi3X3wcmJiayfv16Ro4cSdeuXQkODgZgy5YthIeH5zrADA0aNKBkyZKqRV0AGjZsqLHtRdOmTWPfvn0kJCTQunVr6taty8GDB1m6dCm7d+/Ot7lI/fz8qF69er6M7xZCFGznz/xF0NMnzP1uFQABjx9y/sxfOsuvWDKfU8eP0Kx1W42kOrP6jZswcsIUIiPCmTxqiNFWD0z6/+JWZmbaX09V+43wevvXscMANG31ltb9Nja29Hrn/Wzree+D0QBs+DHrXut/7/zDn4cP0H/wBwZEqy5j8TClUsmRI0dyXZ8QouDJVWJ9/Phxypcvz+DBg1m5ciX79u1TTWE3d+5cypYty/bt240S6MOHD9WWRn7xJysdO3bk8OHDPH/+nLi4OC5fvsy4ceMwMzMzSmyG8PHx4datW5w/fz7fYhBCFEw7Nq2nWet2NG7eitfq1FNt0yY8LJT1K/0AGDh8dLZ19xk4BEtLK25dv8KRA79r7E9IiGf1ssX07dCcNyqXplGVMvTv1JJ1K75TJcgZvl88j9qezuze+isAn0/yobanM7U9nflswmh2bdlIbU9n1djmFUvmq/YP69NF/yckE4Ui/ZvLZ8FBOsv07D+Q9TsPZlnPgKEf4ujkTHTUczas+UFnuZVLv6Zj97cp7ellULyZZV6RMKupYIUQhZfBibW/vz9dunQhJCSERo0a8e6776q9aOzYsYN33nmHfv36cfnyZaMEK4QQRV10VBRH9u2h14D0Xtfe///36P7ftfas/nloP4mJCVgUK0a9Rk2yrd/O3oGaddOT9cN7d6ntCw8L5f3u7Vi+aC7tOndn84E/+XXvUZq3ac83c2cy5O3ORGdaqTZj3HK7Lj2B9KEfRy7eTh/LPGsu7bv25MjF27w/YgwA748Yo9q/eKX2DwrZqVilGgCLv/qcJw8faC1ja2dPpWo1sqzH1s5erdc6NiZao8z9u3c4cuB3ho+dqLHPECdOnFA9lmEgQhRNBifWc+fOxdHRkcuXL3Pq1CnWr1+vlliXK1eOH3/8kYEDBzJ//vwsahJCCJFh344tOLm40KRl+lCHDt16YWNrR2JiAvt3btUof+XCOQA8vbzVXoOz4l2xMgDXLl9Q2/75xNH4/3OT0R9PY/jYSZQrXxHvipUZPWkqw3wmcPPqJb70Ha8qb2Nrh1txD9W9Lnb2DrgV98CtuAf2Do5YWVvjVtwDG1vb/5e3Ve13dHbO2RPzfyM+Sh8Pfc//Nj1aNWT8sHf5fftmIiNyPvRQrdd6tWav9apvF9Kuc3e8vHO31kFcXBy///47Pj4+QPp0sB07dsxVnUKIgsngxPro0aMsWbKEWrVqZVlu1KhRMtxBCxljLYTQZsfmX+jWZ4BqqJqNrR3tu6b3CO/Y9ItG+YiwZwDY/3+1WX3Y/3+Kz/DQUNW2f65f5a9jhzG3sKDf+8M0jhkwbCSmpqb88ftO7t+9o/8JGVmTlm1YuGItxUuUIjU1lWN/7GP6RyNpXbcy73Vvx9oV3xIRHqZXXZl7rX/5cblar/XD+//yx95dDB87KccxbtiwATs7O7Wfrl27kpqaio+PD0eOHMnXoYhCiJfH4MQ6ODiYevXqZVuuRIkSBAYGGtpMkSVjrIUQL/rn+lXu3LxOz/7vqW3PGBZy6/oV/P+5obYvNzcgKhUK1ePTJ44CUK58RdXMGZm5uLpRqkxZAM6cyJ8pVDO07dydfaevsHjlerr07oeLmzsKhYJrl86zZPYMOr1Zh+2//qxXXZl7rTeuWana/uN3i2jVrhMVKud8yEa3bt24cuUKV65c4cSJE3zyySdYWFjQs2dPFixYIGsXCFGEGZxYOzo68ujRo2zL3bx5U6/5roUQ4lW3/defeaNpS0p7llXbXqtufSpVrQ5o9lq7uLoDEBOtOUZYl5j/j5N2zbTAV9D/p6dzcXPXeZyre/q+F6eyyw8WFha06diF2d+s4OilO2z8/SiDPhyDg6MTCfFxfOk7geuXL2Zbj62dveqmz4xe6ycPH7B/51Y+GJfz3moAe3t7KlasSMWKFXn99deZN28eH374Id9//z3Dhml+GyCEKDoMTqzffPNNfH19s7yzOTo6mk8//ZSmTZsa2owQQrwSEhMS2L9rKxf+/otGVcpo/Dz41x+Avdu3kJyUpDou40bEJ48ekJKSoldbGXW9Vjv7bx0LAxMTE2rUrsvET79k94kLeHp5o1Ao2LlFc+iMNgOGjlDNa71xzUpWfbeIpq3aUqW68ZZanzFjBra2tmzatIlTp04ZrV4hRMFicGL98ccfc/HiRcqXL89nn33Gzp07USgUXLp0iT179vDZZ59RrVo1rl27xuTJOV8EoKiTMdZCiMwO7duFubkF2w6fZsuBExo/G34/irmFBVHPI1ULrgC0aNsRi2LFSElO5tLZ09m2ExsTzY0rlwDo2L23anvJ/y/uEh76TOexGWOyX1wIJi9t+Xk1p/4/l7U2zi6u9H53EACBT/TrWbezd1D1Wv+8ahl7d2zhg3Ef5z7YTNzc3Pjgg/S5sGfNmmXUuoUQBYfBiXXTpk1ZsmQJoaGhzJkzh969e5OYmEi/fv3o0aMHc+bMISQkhG+//ZaGDRsaM+YiQcZYCyEy2/Hretp360W58hUp611e46dqjZq82aJ1etlMw0E8Spaiz8AhQPoS3dnZumEtiYkJvFanHi3b/TczxZvN0+t+dP9frdP6RYSHERjwGIDGzVsZfqK5dHDPDvbv3pZlmWKW6bOUOLu66l1vRq91TFQUbzRpzmt1Xs9VnNpMmjQJCwsLDh06xJkzZ4xevxAi/+VqgZhx48bx559/0qlTJ6ytrVWLtVhbW9OlSxf++usvRo0aZaxYhRCiSHr04B4Xz56m29vvZFmuS69+AJw79SdBT//rjR0/dSa1Xm/AicMHWb9quc7jL507w/eL5+PqXpy5367E1PS/t4BqNWvTtNVbpKamsmntKo1jN65egUKhoG3n7pSvVCWnp2hUxw7uJTgwQOu+1NRUDuxKT7zbdOiqd5129g6Mnz6LVu06MXrSNKPE+aIyZcowcOBAQHqthSiqcr2+bJMmTdizZw8KhYKwsPQpjtzc3NResIUQQmhKS0sjMjyMLT+voUzZcniULEV8XCw2tnYaZWOio3itTj2srG1ITIhny/o1vDt0JI5OzlhaWfHDrzv40ncCC7+YztlTf9Kr//tUqFIVc3MLAgMec2jvLrZtXEeV6jWZ990qynqX12jji8XLGTmgJyuWzEephHZde4BSyb6dW1ntt4Qatery+bxvVOXj42KJj4sj8f8rMsbGRBP2LAQAt+IeJCYkEBsTTXxc3P/Lx6n2O7u6GTblnIkJsTExvNe9PUN9PqLeG2+qxkffvX2LDat/4ObVS/ToN5A2Hf9b3TEjlowp9bTF0av/e/R6YUaWF49LS0sj7FkIweaJlChRAoCoqCgSEhJU9xwlJCQQHByMmZkZ7u7qN4N+8sknrFu3joMHD3Lo0CFq1qyJo6Mj1tbWOX8uhBAFjonSwLmaWrdO/9rQxcWFrVs1Fy0Q+omOjsbR0ZGoqCgccjAPbW6U892bfSFRYD2c1zm/Q9BbYmIiDx48wNvbW7WIiDYBvifzMKrcKzOvWa6OvxbwHICnTx7T6c3aavtGTviEURN9NY75bMJo1dLhmf24ZQ8NGv93g/g/16+yc8sGLv59iuCgp8RGR2NiYkK7Lj3o0K03Ldt1xMTERGdsCQnxbFy9goN7dvDowX0AylWoSKfub9N/8AdYZvp//H7xPNVy5S+6+iSSXVs28vkkH637952+qjH7iT6inz/nzyMHOHfqJHduXiPw6RPiY2MxN7fAzcODGrXq0vXt/jRv017tOF2xZBdHVueQ8fY5ePBg1q1bp7Hfy8uLhw8famx/++232bbtv+Esq1atYvjw4TpjKAz0/VsvSOS9sHDL6/dCffM1gxNrU1NTqlSpwsSJE1U3ZIick8Ra5FRRTKxfNRmJdV44d/okH77Tg2at2zFk9EdUfa0W1tY2edZ+UVWrjFN+h1CgFMa/dXkvLNwKamJt8HgNc3Nz1q9fL0m1gWRWECFEXmj4ZjOmzV7IqeOHGdyrI40ql8Z3TOHuHRVCiILK4MS6dOnSuOpxx7VCoeDx48eGNlNkyawgQoi80mfgEH7ZfZhub79DKc+ymJnn+vYaIYQQWhj86tqjRw/27t3LmDFjsiwXGhqKt7c3aWlphjYlhBAil6rVrM2XS3TPGCKEECL3DE6sv/jiCzp27IiZmRlDhw7F0tJSZ1kDh3ELIYQowhpVKaN32R1Hz1CydP4tTCOEEPowOLHu3r07CoWCMWPGMGXKFLy8vHB3d9e42zw5OTnLO9CFEEK8mrYcOKF3WXePki8xEiGEMA6DE+vjx4+rHsfFxXHr1i2dZSWxFkII8SJtc2kLIURhlqs7WLZt24aLi0uWZcLDw+nTp09umhFCCCGEEKLAy1Vi3aRJE4oXL55lmZCQEBljrYWfnx9+fn5yU6cQQgghRBFh8HR7J0+eJD4+nqdPn2ZZzsPDA4VCYWgzRZZMtyeEEEIIUbQY3GPdvHlzID1xDgwMNFpAQgghhBBCFEYG91grlUpGjRrF7du3jRmPEEIIIYQQhZLBibWtrS2TJk3Kcr10IYQQQgghXhUGJ9bVq1cnMjIy23JxcXF88cUXhjYjhBBCCCFEoWBwYj1u3DgWLFiQbbnY2FhmzZplaDNCCCGEEEIUCgbfvNisWTNOnz5No0aNGDNmDFWrVtW68uKzZ89yHaQQQgghhBAFncGJdbly5VRJ9KBBg4wWkBBCCCGEEIVRrhaIKV26NGZmZlmWSUtLy3auayHEq23mzJn5HUKOFLZ4hRBC5I1cJdYXLlzIduXF4OBgSpUqlZtmiiRZeVEIkZXQkGDav/EaSqWSA39fx6Nk1q+jUZGRbPzpB04e+YNHD/4lMTERJ2cX3Ip7UKFyVeo2aET9Rk3wrlhZdcxnE0aze+uvavV8uXg53fq8o1eM/Tq24PaNa6rfS5XxZP+Z9N+H9enChb9P6TzW1NQURydnXqtbj4HDRtGoWUu92hRCiILM4JsX27Rpg6WlZbblbGxsZKiIFrLyohAiK7u2bCAtLQ2FQsHu3zZmWfae/216vdWY9auW07xtB37YuJO9f11i1aZdDBw2ilvXrvDV1IlM+lD9tXjKrLkcuXib90eMUW1b9e1CvT7wH/9jnyqprl2vAUcu3mbD70dV+xevXM+Ri7epXa8BAO+PGMORi7c5cvE2hy/8w4Y9R+g/ZARn//qTDwf0ZPO6H/V+boQQoqAyuMf60KFDepVzcHDgp59+MrQZIYR45SiVSnZu3oCziyuREeHs3LyB4WMnadwcnuGLTz4i7FkI8/1W06FbL7V95StVoXHzVvTr2ELjOHsHR+wdHLGxtcXWzp6kpEQeP7zPvh2/0fXt/lnGuHLpQhydnIl6HomFRTHcinuo7Xd0dgbAwqIYADa2tmpl3D1KUL1WHUxNTPFbOJvFs2fQsfvbODg5Zfv8CCFEQWVwj7W+oqOjef/99192M0IIUWScP/MXQU+fMPe7VQAEPH7I+TN/aS0bEx3FlQvnAGja6i2tZdyKe9C+a88s23R0cqLb2+lDQFZm02t98ugfPHn0gG59BmR7Ltl5s0VrABIT4rly8Wyu6xNCiPz00hPrhIQENmzY8LKbEUKIImPHpvU0a92Oxs1b8Vqdeqpt2igVStXjZ8FBOusc8dFkFq/8Oct2h4+dhLmFBY8f3GPfjt90lvvhm695d9hIbO3ssqxPH+YWFqrHSYmJua5PCCHyk8FDQVq3bq1XueTkZEObEEKIV050VBRH9u1h4Q9rAeg94H1uXLnI0f2/ExMdhb2Do1p5Bycn3D1KEhoSxOxpk1iwfA2u7po3lTs5u+Dk7JJl26U9y9Lt7XfY/uvPrPx2IZ169tGY+enU8SM8+PcOy3/+jQ1rVuTuZIGLZ0+rHperUCnX9QkhRH4yOLE+fvx4tmVMTExQKpU6xwUKIYRQt2/HFpxcXGjSMn1YR4duvfh61nTi42LZv3Mrfd8fpnHMh+Mn89XUiVz4+xSd3qxD645daNOxK42btcTWzj5H7Q8fO4ndW39N77Xe+Rtde6uPtV757df0H/RBrsdCx8ZE8+fhA3y/aA4Ardp3plLV6rmqUwgh8luuptvbvn07zv+/QSWDUqkkNDSUe/fusW7dOlq1akW/fv1yFWRBdPjwYWbMmMGzZ89ISkqiZcuWLFq0CHd39/wOTQhRiO3Y/Avd+gxQ9RTb2NrRvmtPdmxaz45Nv2hNrPsMHIIiLQ2/hXOIeh7Jvh2/sW/Hb5hbWFC3QSPadupG5159sbN3yLb9zL3Wq75dRKce//Van/3rT+7cvME3P+Z8eN+Pyxaz7odlQPr7RGJCPJA+RV//wSMYMe7jHNcphBAFTa7GWL/55pu0aNFC7adly5b06dMHX19fbt26RVRUFDExMcaKt0A4cuQI7du3Z/jw4dy9e5c7d+4QGBhI+/btSU1Nze/whBCF1D/Xr3Ln5nV69n9PbXuvAek3gN+6fgX/f25oPbbfoOEcPHeDOd/+QNvO3bF3dCQ1JYXzp08y59PJdGn6OscP7dcrjoyx1o/u/8v+XVtV23/4ZgF93xuCs4trjs+tz8AhbDlwgi0HTrBq8y569BuIlbUNnXv1Y9REX4rpMX2rEEIUdAYn1gqFItvFYUxMTPjkk0/46quvDG2mQJo5cyZVqlRhyJAhAFhbW/PVV19x+fJlNm/enM/RCSEKq+2//swbTVtS2rOs2vZadeurhkns2PSLzuOtrW3o3LMvC1es5c+r91jz2+/0fW8oVtY2REaE84nPcAIDHmcbR2nPsqohIKu+XURaWhrnz/zFzauXGfThWIPOzdHJmbLe5SnrXZ5adesza+F3NGzSjFXfLmTZ10XrPUII8ep66bOCFCtWjOvXr7/sZtScPn2aKlWqYGJiwsOHD41e/8WLF6lRo4batpo1awKwZ88eo7cnhCj6EhMS2L9rKxf+/otGVcpo/Dz41x+Avdu3kJyUlG19ZmZm1GvUhOlzFrHt0CkcHJ1ITIhn/65tesWT0Wv98N5d9u/ayg/fLKDXgPe13hhpqPFTZ2JiYsLPK/14+iT7hF8IIQq6l55Y//LLL1hbW7/sZoD0qf0mTZpE8+bN8ff3z9GxBw4coG3btri4uGBra8vrr7/OsmXLUCgUGmVtbGw05ng1NU1/KnParhBCABzatwtzcwu2HT6tGjKR+WfD70cxt7Ag6nkkRw/uVTv2x+8Wce3yBZ11l/Eqp1o4Rp8ea4AyZb1UvdYLZ03n6sVzDB45zsCz065C5aq0bNeJ1JQUVi9bbNS6hRAiPxh88+IXX3yhc19aWhqRkZFcuHCBs2fP5snNi/fu3aNTp04kJSWxf/9+2rVrp/ex8+fPx9fXly5dunDo0CHs7e1ZvXo1Y8eO5Y8//mD79u2Ym//3VNWpU4dr166pzXiS0SsfHR1t3BMTQrwSdvy6nvbdelGufEWdZd5s0ZoThw+yY9Mvaissbtu4juTkZGrVra/z2GKWVgA4u7jpHdPwsZPYs20TkRHh9Bk4BI+SpfQ+Vl/DfCZw7OBedv22keFjJ1KqTNnsDxJCiALK4MR65syZqun0slKrVi0WL375PRE3b96kTZs2LFiwALscLFpw8uRJfH19qV69Otu3b8fi/4sVzJ8/n8jISFatWsX8+fOZPn266piZM2fSokUL5s+fz8cff0x0dDSffPIJtra2edY7L4QoOh49uMfFs6eZ9FnWY4279OrHicMHOXfqT4KePqFkaU/Vvj3bNvHeB6M15rkGiI+L5ejB3zExMaFNhy56x1WmrBejJ/py/fJFhvqM1/u4nKhZtx4N3mzG+dMnWe23hM/mLnkp7QghRF7I1XR7EydO1JrEmpmZ4ejoSJ06dWjatGmezGPduXNnunXrluPjZs6cCcDYsWNVSXWGSZMmsWrVKhYsWMDEiRNVSXPTpk3Zt28f8+fP56effsLV1ZWPPvqI+Ph4jekHhRBCl7S0NCLDw9jy8xrKlC2HR8lSxMfFYmOr+boaEx3Fa3XqYWVtQ2JCPFvWr+HdoSNxdHIGExMCnzzmve7tGDxyHDXr1sPO3p6IsDBuXrvM+lXLCXzymFGTplKtZm1VnfFxscTHxREfF0daWhphz0KA9CXQMwwbM1EjlszHAaSkJBP2LARTMzNcXNN7xKMiI0lJSSYlJfn/x8QR9iwEC4tiOL7wOjnMZwLnT59k15aN9Ht/GC6u7jg6OWNRrFgun2EhhMhbJsrsupx1MDU1JTg4ONuZQfJLRjL/4MEDypUrp7VMaGgoJUqUQKFQ4O/vT6VKmqt+eXp6EhAQwLZt2+jVq5eWWv5TokQJRo4cqUrW9REdHY2joyNRUVE4OGQ/x6wxlPPdm30hUWA9nNc5v0PQW2JiIg8ePMDb2xsrK6v8DqfAuBbwHICnTx7T6c3aavtGTviEURN9NY75bMJodm/9VWP7j1v2UK58RY4f2s/Fv0/h/89NQoKeEh8XRzFLKzxKlqLW6/XpPWAQdRs0Ujv2+8XzWLFkvkadV59EZhm/ruNKlfFk/5lrAAzr04ULf5/SKFO/URNW//a7xvZ3OrXi1vUrqt9/2LiDRs1aZhlHfqpVxim/QyhQCuPfurwXFm55/V6ob75mcGK9d+9e2rVrp9HLW1Dok1jv37+fTp06YWFhQWJiouoGxMzatm3L4cOH8fX1Ze7cuQA8fPiQuLg4tZlBLl++TMOGDfnnn3+oWFH3GMkXSWItckoS68LvanR8focgcqm2g01+h1CgFMa/dXkvLNwKamJt8FCQzp0Lz5u7Lvfu3QPA3d1da1INULJkSbWykL7q4vfff8/x48ext7fn2bNnjBo1is8//zzbpDopKYmkTFNlZdzsqFAotM5AIsSLCtN1olAoUCqVqh8higq5ntVl/I3Le5nIK3l9nenbXo4S68OHDxMYGAiAnZ2dzqERBw8e5NatW4wZM6bA9mjDf0ltVjcc2tik90pERUWpttWsWRMHBwdee+01XFxcKFasGKNGjWLw4MHZtjl37lxmzZqlsT00NJTExMQcnoF4FT179iy/Q9BbSkoKCoWC1NRUWZVUFClyPatLTU1FoVAQHh5eoN/3RdGR1++F+q4irndinZSUxNtvv01MTAxKpZIaNWroTKyDg4OZNGkS69evZ9++fZQoUULfZgqFN954g2PHjhl07NSpU5k48b+bgaKjo/H09MTd3T3PhoKIwq2g3tegTWJiIjExMZibm6tNWSlS8jsAkUtyPaszNzfH1NQUV1fXQjMURBRuef1eqO91rfcrw8GDB4mOjqZs2bJ88803Wc7A0b59e0aMGMGaNWvo1asXp0+f1reZPJWRyCYkJOgsEx+fPhbS0VFzCitDWFpaYmlpiZ+fH35+fqqFZkxNTXUORxEis8J0nZiammJiYqL6EaKokOtZXcbfeGF6L0tsXzq/QxC5kNfXmb7t6R3VoUOHcHR05PTp0/To0SPLBkqUKMGKFSvYsmULFy9eZNOmTfo2k6cqVKgApA/D0DV2JigoSK2ssfj4+HDr1i3Onz9v1HqFEEIIIUT+0DuxvnjxIj4+PpQqpf/KWz169GDgwIH8+qvmFFEFQb169TA1NSUlJUXt5sTMbt++DUCDBg3yMjQhhBBCCFHI6J1Y3717l7feeivHDQwYMICLFy/m+Li8ULx4cVq0aAHAkSNHNPbfuXOHgIAA7O3t6dChg1Hb9vPzo3r16pKwCyGEEEIUEXon1lFRUXh5eeW4AW9vb0JDQ3N8XF6ZMWMGAMuWLdO4y3vRokUATJ48WTU7iLHIUBAhhBBCiKJF78Ta3t7eoOmF0tLSspzOzphCQ0MJDg4mODg4y22ZtWjRgtmzZ3Pz5k169uzJpUuX8Pf3x9fXl1WrVtGpUyemTp2aJ/ELIYQQQojCS+/E2svLi2vXruW4gatXr1K2bNkcH2eIBg0aULJkSdWiLgANGzbU2PaiadOmsW/fPhISEmjdujV169bl4MGDLF26lN27d7+UaZVkKIgQQgghRNGid8bYunVrli9fTu/evXPUwPfff0+bNm1yHJghHj58aPCxHTt2pGPHjsYLJhs+Pj74+PiolsgUQgghhBCFm96J9YgRI6hRowa+vr7MmzdPr2OmTJnCiRMnWLFihcEBCuOTuTuFEEIIIYxP76EglStXZsKECSxYsIAGDRqwbt06AgICNMoFBASwbt066tevz6JFi5gyZQqVKlUyatBCCCGEEEIUNDkaPDxv3jyePHnC5s2bGTp0KAA2NjaqoQxRUVGqlQqVSiWDBw/mq6++MnLIRcOLKy8KIYQQQojCLUfrQZqamvLrr7/y3XffUbx4cZRKJXFxcQQGBhIYGEhcXBxKpRIPDw9WrlzJmjVrZNlXHWS6PSGEEEKIosWg6S58fHwYPnw4f/75J3///TchISGYmJjg4eFB48aNad68OcWKFTN2rEKIIurI0Qr5HUKOtGmtfaVWIYQQrzaD55GztLSkXbt2tGvXzpjxCCHEKysqIoKNP3zPyYMHeHzvXxITEnByccHNowQVqlWjbqM3qde0Kd6VqwDw2agR7Nm4Qa2OL77/gW4DBurVXv9mb3L72lXV7yXLlmX/9X8AGNa5Axf/OqnzWFNTUxydXXitfn3eHeVDo1atc3q6QghR5ORoKIgQQoiX497tf+jdqD6/+H1Hi46dWLHzd36/coOVe/bx7mgfbl2+zFcTxvHx+++qjpky72sO+9/j/THjVNtWfb1Ar3s3ju/bq0qqazV8g8P+99hw7IRq/+L1Gznsf49aDd8A4P0x4zjsf4/D/vc4dOdffjl6gv4fjuTs8WOM7NGVzatWGuupEEKIQsv4K58IvcjNi0KIzL4YN4awkBDmr1lH+95vq+0rX6UqjVu3oX+zN9W22zs6Yu/oiLWdHbb29iQlJvLk/j32bdlE13feJSsrF8zD0dmFqMgILIoVw82jhNp+RxcXACz+P6zP2s5OrYx7iZJUr1sXU1NT/L76giWfT6fj231wcHY2+DkQQojCTnqs84ncvCiEyBATFcXVs38D0KSt9uF1bh4laNdL9wJdDs7OqmQ6u17rk38cIODBA7q9m3XyrY/Grd8CIDE+nivnzua6PiGEKMwksRZCiHymVChUj58FBeosN2KKL4vWb9S5f/jHUzC3sODxvX/Zt2WTznIr589jwKjR2NjZGxZwJuYW/33xmZSQkOv6hBCiMJPEWggh8pmDszPuJUsCMHvieMKfhWgt5+TiSrlKlXXWU9rLK9te69OHD/HA/w4DPhxlhMjh0ulTqsfelXXHJoQQrwJJrIUQogD4cMpUAC7+dZLOtWow7YOhHNm9i7iYmBzVk7nXev9vmzX2r/x6Pv0++DDXY6Fjo6PZu2UTy+ekLwLWqktXKlavkas6hRCisJPEOp/4+flRvXp1GjRokN+hCCEKgLeHDmPqwiU4OruQmJDAvi2bmfTeAFp4e/JBl45sXrWS2OjobOvJqtf67PFj3Ll+jYE+Y3Ic3+pFX9O4VHEalypOo5LuNPUsyfQPhmHv6MgHkz9h/pp1Oa5TCCGKGoMT68ePH6NUKnXuf/78Of3792flypVZlntVyc2LQogX9ftgBAdu3WH2qtW81b0n9o5OpKakcP7kCeZ+PIGudWry5/592daT0Wv96N+7HNi6RbV95YJ59Bk6HGdXtxzH1mfocDafPMPmk2dYtWcfPQa+j5WNDV36vcPIqdMpZmmZ4zqFEKKoMTix9vb2JjQ0VOd+pVLJP//8w+jRo/nss88MbUYIIV4p1jY2dO7bn4U//8LxB49Zve8gfYZ9gJWNDZHhYXwydBCBjx9nWUdpLy+69h8A/Ndrff7kCW5eusigcR8ZFJeDszNlK1SgbIUK1KzfgJl+39OweQtWfT0fvy9nGVSnEEIUNQYn1tn1Qjs7O3P16lU2bNjAhg0bsiwrhBBCk5mZGfWaNGX64m/YevocDk7OJMbHq/VC65LRa/3wrj8Htm5h5fy59Bw0GNfiHkaL76NZX2JiYsLPy77l6aNHRqtXCCEKq5c+xrp+/foEBQW97GaEEKJQ+3Hh11y/oHtoWBlvb9XCMdn1WAOULldO1Wu9cKovV8+dZfBHE40T7P9VqFqNlp27kJqSwupFXxu1biGEKIz0Xnnx2rVrXLlyRW3bli1bcHBw0HlMXFwc27dvx8PDeD0kQghRFG1bt4bk5CRq1td9Q7OlVfo4Zmc3/cZID/94Cns2bSQyPIw+Q4fjUaqUUWLNbOjEjzn2+x52b/yF4R9PoVTZskZvQwghCgu9E+sdO3Ywa9YsTExMVNs++ij7sXpKpZJZs2T8nRBCZOf3Xzfyns9Y7B0dNfbFx8ZydM8eTExMaN2lq171lS5XjlFTp3P94gWGTJhk7HABqFmvPg2aNef8yROsWbyQT7/59qW0I4QQhYHeiXWdOnUYNGgQkJ4sr1+/nj59+mBtba21vKmpKU5OTrRo0YJu3boZJ1ohhCiiTDAh8PEj3n+rFYM+Gk/N+g2ws3cgIvQZNy9f5he/7wh8/IhR0z6lWp26QHqyHR8XS0JsLIq0NMJCgoH05c8zDJs0WaOtzMcBpCQnExYSjKmZGS5u7gBERUSQkpJMSnIyAAmxsYSFBGNhUQxHFxe1+oZO/JjzJ0+wa8N6+g7/ABd3dxydXbAoVsz4T5QQQhRgJkoD58IzNTUlODiY4sWLGzumV4Kfnx9+fn6kpaXh7+9PVFRUlsNqjKnEsSt50o54OYJb1cnvEPSWmJjIgwcP8Pb2xsrKKr/DKTCuRsdrbAsNDuLPffu4cOokd2/eIOTpU+JjYylmZYVHqdLUbNCA3oOHUrdRY9Ux38+dzQ/z5mjUdSUqLsv2dR1XsmxZ9l//B4BhnTtw8a+TGmXqNW3G6r0HNLYPaNGUW1cuq35fsXMPjVq1zjKOwqy2g01+h1CgFMa/dXkvLNzy+r0wOjoaR0fHbPM1gxPrdevW0b9/fyxl7tJc0fc/ypjkxaRwk8S68NOWWIvCRRJrdYXxb13eCwu3gppYGzwryKBBg/RKquPi4vjiiy8MbUYIIYQQQohCQe8x1oaKjY1l1qxZfP755y+7KaGnDcre+R2CyJV7+R2AyCVv+T8sAmrmdwAil+S9sLArmK+jeifWx48fZ/v27QwdOpQ6deowdOhQvY5LSEgwODghhBBCCCEKC70T6969e/P8+XMuXLjA6dOnWbt2rd6NZJ6iTwghhBBCiKJI78R64sSJ/Prrr4wcOVK17ZtvvsFRy3yrmT1//pyJE4272pcQQgghhBAFjd6J9fTp05k+fbratv79+2c73V5ISAgTJkwwLDohhBBCCCEKCYNnBTl27BguLywSoI2LiwvHjh0ztBkhhBBCCCEKBYNnBWnRooVe5dLS0nj06JGhzQghhBBCCFEoGNxjra+oqCiGDBnyspspdPz8/KhevToNGjTI71CEEEIIIYQR5Goe6/j4eHbu3MmVK1eIjIwkLS1No4xMt6edj48PPj4+qpV8hBBCCCFE4WZwYu3v789bb73F06dPyW5VdJluTwghhBBCFHUGJ9aTJk0iMDCQHj168MYbb+Di4oKFhYVGOZluTwghhBBCvAoMTqxPnDjBvHnz+Pjjj7MsJ9PtCSGEEEKIV4HBNy8qlUp69OiRbTl3d3cePHhgaDNCCCGEEEIUCgYn1vXr1+f58+d6lZUx1kIIIYQQoqgzOLH+8ssv+fzzz0lMTMyyXGhoKN7e3oY2U6Dt27ePxo0bU7NmTapXr07Pnj25c+dOfoclhBBCCCHygcFjrO/du0fJkiUpU6YMffv2pWLFiri6umr0TkdFReU6yILozJkzdOvWDT8/Pz788ENSU1MZPHgwbdu25caNGzg4OOR3iEIUGiWOXcnvEHIkuFUdo9XVufNQ/vrrgsb2AQO68f33X6l+f/ToKbVqddRax++/r6ZZswYoFAr27/+THTsOcu7cVYKCnmFuboaXV2natGnCmDHvU7JkcbVjs6o3K9eu7cfLq7TG9kuXbvLLLzs4deoiQUHPiI9PwMnJgUqVylGvXk1at36T5s0bYG6eq9lehRCiQDL4lW3w4MGYmJigVCr54YcfdJZTKpVFcijI9u3bsbW15cMPPwTA3NycSZMmsWHDBk6fPk2HDh3yOUIhRGGwfv0SUlJSGDhwAufOXWXMmPcZN24wVlaWauXKlCmBv/9RAgKCad16AABHj26kTJkSODunz4Xfq9cojh07Q926NZg3bwpVqlTg+fMofvttH8uX/8L69TvYunU5DRvW1qtebc6evcJ772nO9JSQkMiECV/y66976NKlNbNmjadSJW+USgWPHwfx++9HWLVqE999tw43N2d2715FjRqVjfIcCiFEQZGrLoM+ffpgbW2dZZn4+Hi2bt2am2YMcvr0aYYMGYK/vz8PHjygXLlyRq3fzMwMhUKh9sEhNTUVQOtCOUIIoY2LS3pSXKxY+nSldnY2eHi4aZQzMzPDw8ONxMQk1TY3N2e1smFhEZQtW4o9e37E3t5Wtb1evZqYmZmxbNnPDB06hStX9qp6jPWpN7OMJD6zlJQUevcexalTF1m4cBoffNBfbX/FiuVo3boxw4b1pUOHwYSFRRIRUTS/zRRCvNpylVh/++23FC9ePMsywcHB/Pbbb7lpJkcSEhL49NNPWbp0aY4T3AMHDrBo0SIuXrxIUlISVapUYejQoYwePRpTU/Xh6CNGjGDNmjXMmTOHqVOnkpCQwFdffUWVKlVo06aNMU9JCCH01qNHO7WkOsPQoX1YtuxnnjwJ4sKF6zRqVNeg+hs1qsP9+3+qJdizZn3LqVMX6dSppUZSnVmNGpXx9R3FtGlfG9S2EEIUdLm6edHe3j7bck5OTvz000+GNpMj9+7do06dOmzbto39+/fn6Nj58+fTsWNHrKysOHToEJcvX6Zt27aMHTuWHj16qHqjM5QvX54DBw7wyy+/4O7ujqurKwqFglOnTmFlZWXM0xJCCL3s37+Wzz4bq3VfqVIeqseRkTnvLd6wYReOjrWwsLDA1dVZ1dkQEhLGqlWbABg58t1s6+nXrzNly5bCyqpYjmMQQoiCzuDEevr06dkOAwGwsrJi0KBBhjaTIzdv3qRNmzbcuHGDtm3b6n3cyZMn8fX1pXr16mzfvp169epRuXJl5s+fzwcffMCePXuYP3++2jHHjh2jRYsWjBkzhmfPnhEREYGTkxNdunQpsjdsCiEKNnt7W9WQkhcFB4epHlerVtFobe7de4zExCSKFbOgSZN62ZZ3c3Ph+vUDNGhQO9uyQghR2OidWLdu3VrveavzS+fOnVm+fDl2dnY5Om7mzJkAjB07VmNZ9kmTJgGwYMECEhISVNs//vhjqlSpgo+PD2ZmZtjY2LBs2TLOnTvHwoULc3ciQghhZIcOnQSgXbtmlCtXxmj1XrhwDQBvb0+Z6UMI8crT+1Xw+PHjpKSkvMxYcs3MzCzHx4SGhnL8+HEArWOjq1SpQpkyZQgICGD//v306tULgNu3b9O1a1e1so6Ojri7u3P58uWcBy+EEMCiRT/y3XfrdO5XKpU5rjM+PoHly3/B3t6W+fN9sy3fqFFPjdmcUlO137Py7Fk4AI6O2Q8NFEKIoi5H3Qvjxo3LcviHmZkZdnZ2eHp68sYbb9CkSZNcB/iyXbhwAYVCgYWFBRUqVNBapmrVqgQEBHD+/HlVYl22bFmePHmiVi4+Pp6wsDDKlNHdG5SUlERS0n9330dHRwOgUChQKBS5PR3xCihM10nGzDkZP0XFyzyXoUP78uGHA3TuDwp6RufOQ3NU56efLuLx40DWrv2a8uU9sy3/22/LNea73rPnMDNmfKNRtihOp6qPonQ9G0PG37i8l4m8ktfXmb7t5Sixfvz4McWK6b7hRKFQEBsby+PHjwkPD6dq1aps2LCBunUNu/s8L9y7dw8Ad3d3jZk/MpQsWVKtLICPjw9jx45l27Zt9O7dG4VCwbRp0zAxMWHYsGE625s7dy6zZs3S2B4aGprtKpZCADx79iy/Q9BbSkoKCoWC1NRUjRuAC7OXeS7Ozg5UqFBW535z85x9M7d48WrWrPkNP78v6NbtLb2O8fQsqbH4y/jxQxk/XjOhL17cFYCoqJgcxVXYFaXr2RhSU1NRKBSEh4drDKkU4mXI6/fCmBj9XuNylFjv2LEj2+n1Mty8eZOZM2fSrl07rl+/TokS2hcbyG8ZPcZZ9cTb2NgA6qtI+vyvvfuOa+rq/wD+CRD2kCWIiFqc+GhdIFotiqKi9tE6UOumWgda66gFO9SfUhzVahXrqLtqnbXiHmCLW1RaHEgdgGJAEGXIDvf3Bw8paRIEDYTA5/165VW494zvpbnk6+Hcc/z8YGxsjG+//Rbz5s2DVCqFg4MDTp8+DVdXV5VtBQQEYObMfzZXSE9PR7169WBra1tpuzXevlMp3VAFKes9WBXk5OQgIyMDenp61Wr+rbZcS3DwDgQGBmPdukUYNuyD11d4A66urfDzz4fw6NFjFBQUaM3P5m3VlOssKz09Pejo6MDa2lprVsbiZ6F2q+zPwrK+r8v8m8HDw6PU0ep/a9GiBfbt24devXohODgYCxcuLHNdbSASieDr6wtf3/L9SdbAwAAGBgYKx3V0dFSOmBOVpE3vEx0dHYhEItmrutCGa1m2bAOWLFmHzZuXoH//sq+SVF59+nSDv/9SZGfn4OLFG3j/fbdSyz94EIfLlyPxzjv10LFj2wqLq6Jpw3ugMhXf4/wso8pS2e+zsvZX5qjCwsJQq1atcgcyZcoUnDp1qtz1KkvxKHHJFT/+LSsrC0DRw4nqEhwcDBcXl1JHt4mI3sSCBavw3XcbsXPnSoWk+uuvV2DPniNq66t2bWtMmTISALBu3c7Xlv/88yBMmfK17KFHIqLqpMLT/f/85z+4f/9+RXfzxoofWExOTlY5MV0ikciVVQc/Pz/cuXMH165dU1ubRFSzCYKAL75YjPXrd2HPntXo1et9hTI3btzCw4fxau137twp6NatI44eDZNtFqPMxo2/4OzZi+jR470KHUUnItKUCp8kZmBgUOYJ35rQrl076OjoID8/Hw8ePEDjxo0VykRHRwMAR5eJSO1SU9OQn5+PvLyi5UwzM7OQlJQCQ0MDuSXspFIpUlJeICXlhexYSsoLGBoawNLSAvr6YsyYsQhbtuyDjY2l0hU8AOD+/Vh07ty+TO2KxWJYWb3+L3V6enrYvXsVZs0KxOzZ3+LcuSsYNWoAmjR5B4WFUjx8+Bjbtx/EkSOh6NmzCzZvXlreHxMRkVao8MQ6KSmpSj/IULt2bXh4eCAsLAxnz55VSKzv3buHJ0+ewMzMDL1791Zbv8HBwQgODoZUqnxtWKKaJLFba02HoDGjRs3A+fMRsu/XrNmONWu246OP/osff1wkO/7kSSJatfKWq+vpWbQs35Ejm9CliysOHjwBAAqJcmlKa7dz5/Y4enRzmdoxMjLE2rUL8fHHQ7Ft2wHMnfsdJJIkFBRIYWdng7Zt/4NffvkBvXt7lKk9IiJtVObEevv27Rg6dKjSB+9Kc/LkSTg4OJQ7sMo0b948hIWFYc2aNRg/frzc097Lly8HAHz++eey1UHUwc/PD35+fkhPT1fr3G0i0i5lTVzr16+LtLS/Si0TH3+h3P2Xpd3yaNfuP2jX7j9qa4+ISJuUeY71uHHj5JabK4vIyEgsX74cHTt2LHdgbyo5ORmJiYlITEws9VhJHh4eCAwMxO3bt/Hhhx/ixo0biImJgb+/PzZu3Ig+ffogICCgsi6BiIiIiLRQmUesBUHApUuXYGlpWWqZV69eIS4uDr///jsOHTqE/Px8TJgwQS3BloWrqyvi4uLkjrm5/bP8k6rdsubOnYs2bdpg+fLl8PT0RH5+Ppo0aYJVq1bBz8/vjbZLLw2nghARERFVL+WaY128nXdZCIIAkUiEBQsWoFOnTuUO7E3Fxsa+cV1vb294e3u/vqAacCoIERERUfVSrsRa1WhvMZFIBFNTUzg5OcHd3R3jx49Hhw4d3ipAIiIiIiJtUObEWiQSQSKRaNV2ykRERERElaXMDy++brSayoc7LxIRERFVL2VOrAsLCzlarUbceZGIiIioeqnwLc2JiIiIiGoCJtZERERERGrAxFpDOMeaiIiIqHphYq0hnGNNREREVL0wsSYiIiIiUgMm1kREREREasDEmoiIiIhIDZhYExERERGpARNrDeGqIERERETVi56mA6ip/Pz84Ofnh/T0dFhYWGg6HCKNauB/VNMhlEvs4r5qa6tvX1+cPx+h8ryRkSEaNKiLXr08MH36WFhZ1ZI7n5qahvXrd+LkyXA8eBCH7OwcWFnVgp2dDZo3bwR39zbo3Lk9mjRpKKsTFLQWixevU+jLyckBUVEn5I61bNkb8fFPFcr6+09CQMCUcl4tEVH1xhFrIiIN2rHje8TEhMLN7V0AwNSpoxETE4qYmFBERZ3Arl2rULu2DVau3IxOnQbjwYM4Wd3o6Adwd/8QwcE74O3tgUOHNiAy8hhCQn7ClCkjcfPmbcyYsRCjR8+U63PatLGIiQnF1KmjAQBubu8iJiYUYWG7FOILC9uFmJhQ1K1rBwBYvHgOYmJCMW3a2Ar6iRARaS+OWBMRaZCVVdFfrPT1xQAAU1Nj2NnZyM47OTmga9cO8PQcgZs3b2PKlG9w8uQ2AMCnny5AUlIKNm9eikGDesu127TpO/D07IQuXXwU+jQ1NZa9ivsu2WdJNjZWAABdXV0AgLm5mcqyREQ1HUesiYiqOB0dHYwePRAAcPnyTTx5koi0tAxcuRIJAPDy6qy0np2dDQYO7FVZYRIR1XhMrImItEC9evayr58+TUJhoSD7XiJ5prLenDkTsWPHigqNjYiIijCxJiLSAhJJsuxra+tasLQ0R506tQEAM2cuwrNnz5XWs7KqhcaNGyo9R0RE6sXEWkO43B4Rlcevv54CADRr5gxn5/oAikajAeD8+Qi0auWNCRMCcPjwGWRkvNJYnERENRkfXtQQLrdHRK8jCALi459i+fKfEBp6EcbGhli9er7svK/vEEilUgQGBuPFizTs3XsUe/cehVisB3f3Nujf3wtDh/aDublpqf1cvHgDDg4dSi2TlZWjjksiIqrWmFgTEVUhy5f/hNWri1b9yM8vQF5ePkxMjNC/vxe++mqq3HrUADBhwjCMGNEfR46E4siRUJw7dxlpaRkID7+G8PBrCAr6EcHBC+Dt3VVln23auGDjxsWlxtWvny+ePlU9l5uIiJhYExFVKb6+Ppg48SMAgEgkgqGhPuzsbGTL3SljbGwEH5++8PHpC6lUisuXb+LAgRPYvfswnj9/AV/fObhy5RCcnByU1jcyMoSzs1Opcenp8eOCiOh1OMeaiKgKsbQ0h7OzE5ydnfDOO/Xg4GBXalL9b7q6unjvvfZYseIrXLx4ELVqmSMrKwf79x+vwKiJiAhgYk1EpLW++24jIiL+Unm+YUNH2cYxyrYlJyIi9eLf9oiItNS2bQeQl5eH9u1bqSxjaGgAALCxsayssIiIaiyOWBMRabHdu0OQlpah9FxmZhZCQs5CJBKhXz/PSo6MiKjm4Yg1EZEGpaamIT8/H3l5+QCKkuGkpBQARVuSv058/FP06DES06ePQ/v2LWFmZoLk5FTcvHkHwcHbER//FHPnTkHr1i6yOpmZWXj1KguZmVkAgLy8fCQlpUBXVwc2NlZy7aekpEIqLYRUKgUApKdnICkpBSYmxjA1NVbLz4CIqLoQCYIgvL4YVZTidazT0tJgbm5eKX2eDXWulH6oYnT3fKDpEMosJycHjx49QsOGDWFoaKjpcKqM9PQo2dd9+/ri/PkIpeXS0lTPnwaAxMRkHDt2DhcuROD27RgkJCQhMzMLhob6cHCwg6trK4wdOxju7m3k6gUFrcXixesU2nNyckBU1Am5Yy1b9lY6P9vffxICAqaUGl91Zm7eUtMhVCnaeK/zs1C7VfZnYVnzNSbWGhIcHIzg4GBIpVLExMQwsaYyY2Kt/Uom1qSdmFjL08Z7nZ+F2q2qJtacY60hfn5+uHPnDq5du6bpUIiIiIhIDZhYExERERGpARNrIiIiIiI1YGJNRERERKQGTKyJiIiIiNSAiTURERERkRpwg5g31LVrVzx79gz6+vpyx2NjY/HBBx9gx44dGoqMiIiIiDSBifVbOHbsGBo0aCD7vrCwEE5OTvDx8dFcUERERESkEZwK8oa+/PJL2Nrayh07ffo0CgsL0adPHw1FRURERESaUm0T64sXL6Jp06YQiUSIjY1Ve/teXl4wMTGRO7ZlyxaMHj0aurq6au+PiIiIiKq2apdYZ2dnY9asWXj//fcRExNTrronTpyAl5cXrKysYGJigrZt22LNmjUoLCx8bd2XL1/it99+g6+v75uGTkRERERarFol1g8ePEDr1q1x4MABHD9+vFx1lyxZAm9vbxgaGuL06dO4efMmvLy8MG3aNAwYMAAFBQWl1t+9ezfat2+PJk2avM0lEBEREZGWqlaJ9e3bt9G9e3fcunULXl5eZa4XHh4Of39/uLi44ODBg2jXrh2aNGmCJUuWYMKECQgJCcGSJUtKbWPr1q0crSYiIiKqwapVYt23b1+sXbsWpqam5ao3f/58AMC0adMgFovlzs2aNQsAsHTpUmRnZyutf+fOHdy9e5ergRARERHVYNUqsX6ThwaTk5Nx7tw5AED37t0Vzjdt2hSOjo5IT09XOb1k69at8PHxUXiYkYiIiIhqjmqVWL+JiIgIFBYWQiwWw9nZWWmZZs2aAQCuXbumcE4qlWLHjh34+OOPKzROIqLq7MyZ87CwaCV7TZ78laZDAgAkJCTKxdW3L6f8EZFqNX6DmAcPHgAAbG1toaOj/N8ZderUkStb0okTJ2BpaYmOHTuWqb/c3Fzk5ubKvk9PTwdQtLlMWVYfIdKm90lhYSEEQZC9VBEtqFV5QamBMO+l2trq29cX589HqDxvZGSIBg3qolcvD0yfPhZWVrXkzqempmH9+p04eTIcDx7EITs7B1ZWtWBnZ4PmzRvB3b0NOndujyZNGsrqBAWtxeLF6xT6cnJyQFTUCbljLVv2Rnz8U4Wy/v6TEBAwpZxXq9r773dATEwoDh48AX//pUrLhIVdxtixs/Hpp2Mxa9Z4tfVdmjp1aiMmJhRXrkRi1KiZsuOlvZ9rouJ7nJ9lVFkq+31W1v5qfGJdnNgaGRmpLGNsbAwASEtLUzi3ZcsWjBs3rsz9BQUFYcGCBQrHk5OTkZOTU+Z2qOZ69uyZpkMos/z8fBQWFqKgoKDUlXXEKs9UTa9bJag8duz4Hvn5+Rg5cgauXv0TU6eOxqefjgUA5Obm4f79OKxcuRkrV27Gnj1HcPToJjg71wcAREc/wH//OwFZWdmYNm0MevToDDs7G7x6lYUbN25hxYpN2LPnCJo3d8bly7/K+pw2bSx8fX3www9bsWbNdri5vYuff/4eurqKgwthYbsglRaiW7fhSEhIwuLFczBwYG+YmBir7WcAAPr6YtjZ2cDc3ExlmSNHzuLly3Ts23e00hJrHR0d2NnZwNLSQu64Ot8D1UFBQQEKCwvx/PlzhWeViCpCZX8WZmRklKlcjU+s39b+/fvLVT4gIAAzZ/4z6pGeno569erB1tYW5ubm6g5Pqdt3KqUbqiC1a9fWdAhllpOTg4yMDOjp6UFPr/r8ulHntVhZFSVs+vpFyYipqTHs7Gxk552cHNC1awd4eo7AzZu3MWXKNzh5chsA4NNPFyApKQWbNy/FoEG95dpt2vQdeHp2Qpcuig9Vm5oay17FfZfssyQbGysA/zzDYm5uprJsRRs58kNERt7BuHFDNNJ/SdXp/awOenp60NHRgbW1NQwNDTUdTpnws1C7VfZnYVnf1zX+N0NxMqtqxQ8AyMrKAgBYWFioLFNWBgYGMDAwQHBwMIKDgyGVSgEUjYqomopCVJI2vU90dHQgEolkr+qisq9FR0cHo0cPxM2bt3H58k08eZIIMzMTXLkSCQDw8uqstJ6dnQ0GDuyFc+cuV2K0FadNGxecPbtT02EAqPz3QFVXfI/zs4wqS2W/z8raX41/9xc/sJicnKxy/oxEIpErqw5+fn64c+eO0gciiYj+rV49e9nXT58mobDwnzm+EonqP4nOmTMRO3asqNDY3sThw2fQo8dI1KnjBien9/Dhh5Nk/1BQpuQDhC1b9lY4n5qahkWL1sDd/UPUresOB4cO8PAYhsDAYNy9e19pm2fOnMfgwVPQsOH7sLFpi8aNu2HgwElYt24nXrxIVxnLy5fpmDRpEuzt7WFgYIAWLVpg27ZtSss+fvwYy5Ytg4eHB+rWrQt9fX3UrVsXw4cPR1RUlEL58ePHy/1j9Ny5czh+/Dg8PDxgYWEhd7xYbGwsRo4cidq1a8PQ0BBNmjTB119/jaysLLm2GjRoINeXIAjYtm0bOnfuDAsLCxgbG8PFxQUBAQF48eKFyusnItVqfGLdrl076OjoID8/X+nDiQAQHR0NAHB1da3M0IiIZCSSZNnX1ta1YGlpjjp1iv4UOnPmIjx79lxpPSurWmjcuKHSc5ry/febMWrUTLx6lYWdO1fhwoX9mDZtDObMWYzw8KtK68TEhCI0dJfSc69eZaFHj5HYsmUfZs/+BH/8sRdnz+7EkCF98MMPW+HjM1Whzvz5qzBoUNHDl7/88gMiIg7jxx8X4uXLdHzxxRJMnfqN0r5ycnIxatRMeHh44PLlywgJCUF2djbGjh2LQ4cOKZQPDAyEv78/unbtipMnTyI6Oho//fQT4uPj4ebmht9//12u/IoVKyCRSGQPxO/ZswffffcdAgMDERkZiYULF8qVv3PnDtq3b4/9+/dj7ty5uHPnDg4cOIDU1FT07dtXVk4ikcgN5BQWFmLo0KEYO3YsGjZsiJMnT+LatWsYN24cVqxYAVdXVyQkJCj9GRCRajV+Kkjt2rXh4eGBsLAwnD17Fo0bN5Y7f+/ePTx58gRmZmbo3VtxlORN/XsqCBFRaX799RQAoFkzZ9nDi3PmTMSMGQtx/nwEWrXyxgcfdMcHH3RHt24dYWZWNdfV//PPu1i4cDVMTIzw66/rYW9vCwCoV68OWrRojFatvJXWs7OzQU5OrtJzhw6dxoMHcVi4cCYGD/6nfvPmjZCdnYPt2w/KlT948CS+/34TWrZsit27V8ketmvQwBHt2rWCm1t/lat+RERE4aefgjB8+PD/1WmAVatW4b///S/WrFmDAQMGyJW3trbGrFmz5B5af+edd9ClSxc4OTnBz88Pt27dkp0zNzeHubk59PX1AQAhISG4f/++bH7nV199hR07dsjOjxo1Cs+fP8eqVavw6aefytoJDg6Wi8Xe/p+/eABFm57t27cPvXv3xo4dO2THW7RoAQMDA0yfPh2TJk1CSEiI0p8DESlX4xNrAJg3bx7CwsKwZs0ajB8/Xu6hlOXLlwMAPv/8c9nqIOrg5+cHPz8/pKenq2XuNhFVP4IgID7+KZYv/wmhoRdhbGyI1avny877+g6BVCpFYGAwXrxIw969R7F371GIxXpwd2+D/v29MHRoP5ibl74b7cWLN+Dg0KHUMllZ6lm1aMOGXyCVStG3r6csqS5mZ2eD/v29sGfPkXK1mZKSCgB48iRR4dzQof3g6CifVH733QYAgK+vj8IKFpaW5hg0qDdSUpRPhTAzM8GAAT3ljnXoUPSzi4yMVCgfGBiotB1TU1O0aNEC58+fR1xcHOrXr6+03IQJExQemrp37x4AIDw8HDdu3IC+vr7SvRSmTZuG3377TeF4Xl4eli1bBgCYMWOG0j5nzJiBo0ePIjY2VmEKCRGpVu0S6+TkZIVR4OTkZNkvpn//qx0APDw8EBgYiC+//BIffvghFixYAFNTU2zevBkbN25Enz59EBAQUCnxE1HNtnz5T1i9umi+bn5+AfLy8mFiYoT+/b3w1VdT5dajBoAJE4ZhxIj+OHIkFEeOhOLcuctIS8tAePg1hIdfQ1DQjwgOXgBv764q+2zTxgUbNy4uNa5+/Xzx9OnbL2914ULRmt2tW7soPf/v6yuLLl3cIBKJsGHDbjx//gK+vkPQsWNb6OjowMnJAU5O/5WVTUxMxu3bfwMA2rZtobS9xYu/UNmXo6O9QjJuZVW0coqqeckHDhzAli1b8OeffyItLU32PE/xQ/MJCQkqE+vmzZurjKV4GkmzZs2U7vyrqu7169eRmlr0j5H27dsrnDcyMkKdOnWQkJCAixcvMrEmKodql1i7uroiLi5O7pibm5vsa1V/3ps7dy7atGmD5cuXw9PTE/n5+WjSpAlWrVoFPz+/N9ounYiovHx9fTBx4kcAilZaMDTUh52dTam/g4yNjeDj0xc+Pn0hlUpx+fJNHDhwArt3H/5fojkHV64cgpOTg9L6RkaGcHZ2KjUudS0v9/RpEgDAxsZS6fk3WcqvbdsWWL8+EP7+S7F//3Hs338cNjaW6NOnG8aOHYR27VrKyj55IpF9XbyUYHn8e4Me4J+fjbIH4KdOnYrg4GA0b94c3333HVq0aCEb6BkxYgSuXr2KvLw8lf3Z2tqqPPfkyZNSyygbSAKA+Ph42ddOTsr/v5dM+omo7KpdYh0bG/vGdb29veHtrXx+n7pxjjURKWNpaf7aJLc0urq6eO+99njvvfaYNm0sunYdhpcv07F//3HMnKk4XUBT1L1z4dCh/TBgQE+EhJzFr7+ewpkz57F9+0Fs334QkyePKHUUujzKs8xeREQEgoODoa+vj+PHjyuMSpe2MVl5+nvTn6Wurq7S6SslWVtbv1HbRDVVjV8VRFO43B4Rva3vvtuIiIi/VJ5v2NBRtnGMsm3JNcHBwQ4AVM5hTkpKeeO2DQz0MXiwN3bu/B5//x2G+fM/g56eHn78cSdCQy8BABwd68jKF8/NrijFUzWaNm2qcqrH23B0dARQNN1RmcRExTnnAGSxSKVS2NraolGjRipflpbK/7JARMoxsSYi0lLbth3AqVPhpZYxNDQAoHrqRWV7772iOb2Rkcq3vYuJeVTuNo8cCcWGDbvljpmbm2LGDF8MH/4BAOCvv+4CAOztbdGiRdHqT9ev34Iyy5ZtwOjRs956VF3V3gjF3naahYeHB4CihxkzMzMVzt+9e1dpvXbt2slGoq9eVb684b59+9C6dWvcv698DXAiUo6JNRGRFtu9OwRpaRlKz2VmZiEk5CxEIhH69fOs5MiU++STYdDR0cGxY2FITJQfaU1KSsFvv50ud5tRUdFYs2Y78vLyFc4VFBQAkB+pnj37EwDAli37ZOeLJSYmY/XqbbC1tXrr3RWLn++Jjo7Gw4cP5c7duHFD5d4JZdWlSxe0bdsWeXl52Lx5s8L51atXK60nFosxZ84cAEXrZv/7HxDZ2dlYuHAh9PT00KhRo7eKkaimYWKtIcHBwXBxceGmM0Q1XGpqGpKSUmRJYWZmFpKSUso8JSI+/il69BiJn38+hOjoB0hISERk5B1s2bIfXbsOQ3z8UwQETJZbhaO4j8zMLABAXl4+kpJSlE6NSElJRVJSiux5kPT0DLm65fXuu83xzTef4tWrbAwcOAmhoZfw+LEEYWGXMWjQZLRvX/SgYXZ2rlw/RfEVTR+RSqVISkpBamqarN24uAQMH/4pfv/9CuLiEnD7dgyWLl2PPXuOon37lvjvf3vIyg4c2AuffeaLqKh7+Oijz3Dt2p+Ii0vA8ePn8OGHE2FnZ4Ovv54mK5+UlIIXL9LkflbFI8SpqalyUy4SExNlK254eHigT58+yM/PxwcffIDjx4/jwYMHOHDgAAYMGCBbXaRkG5mZmUhMTJQ90Fh8Li3tn2staceOHbC2tsYXX3yBVatW4eHDh7h16xamTp0qW61EmdmzZ2P48OE4ceIEhg4diitXriAuLg4nT55Ejx49IJFIsHNn1dg+nkibiAR1P0FC5VK8jnVaWhrMzc0rpc+zoerbmp0qX3fPtxvlqkw5OTl49OgRGjZsqLAWb02Wnv7PVtZ9+/ri/PkIpeXS0lTPnwaKRlePHTuHCxcicPt2DBISkpCZmQVDQ304ONjB1bUVxo4dDHf3NnL1goLWYvHidQrtOTk5ICrqhNyxli17K52f7e8/CQEBU0qNrzS//XYaP/ywFbdv/w09PV20aNEEfn6jkJHxClOmfC0r99lnvliw4DNYWLRSaKNz5/Y4enQz0tIycPRoKA4fPoPIyLtITk6FhYUZ6tevi2HD+mH06IEwMlJ8/50+HY5163bh+vVbyM7OgZOTA/r06Ybp08fByuqf/QWU9T1v3jzMnz8fXbt2Vdg90cPDQ7bleG5uLr799lvs3LkTcXFxMDY2xrvvvovp06dj9erVcnUFQcD8+fPlNpMpNmbMGGzdulXpz/LRo0f46quvcPLkSWRmZqJhw4bw9fXFjBkzIBaLIRKJlE5LEQQBu3btwsaNGxEZGYn8/Hw4OTmhZ8+emDNnDurWrau0P2W08V7nZ6F2q+zPwrLma0ysNYyJNZUXE2vtVzKxJu1kbt7y9YU0LCMjA+bm5rC0tJSNolcUbbzX+Vmo3apqYs2pIERERFrq/PnzOHHihNJzd+4UPSD67rvvVmZIRDUaE2sN4RxrIiJ6W2fOnMH06dORn6/44OaGDUVbt48bN66ywyKqsZhYawjXsSYiInWIiYnBwIEDER4ejvj4eNy4cQN+fn7YvHkzhg0bhlGjRmk6RKIao9rtvEhERJXj4sXrGDy4bA8w1qvngCtXfq3giGoeX19f6Ovr49ixYxg+fDiSk5NhaGiIVq1aYdOmTRg3btxbLxtIRGXHxJqIiN5ImzYtEB6+r0xlxWJ+3FQEJycnzJ07F3PnztV0KEQEJtZERPSGjIwM4ezspOkwiIiqDM6xJiIiIiJSAybWGsJVQYiIiIiqFybWGsJVQYiIiIiqFybWRERERERqwMSaiIiIiEgNmFgTEREREakBE2siIiIiIjVgYk1EREREpAZMrDWEy+0RERERVS9MrDWEy+0RERERVS/c0pyINK7ltpaaDqFcosZEqaWdli17Iz7+qcLxtLS/5L5PTn6Oxo09YWpqjEeP/oBYLC61nc6d2yM+/qnStkuzdu1CjBjRv1x1iIjoH0ysiYg0JCxsF+7fj0OvXmMAAKGhu+DoaK9Q7syZCxAEARkZr3Dx4g14eHRQaCcm5hH69RuPa9cOwdKyFgoLpZBKC9Gt23AkJCRh8eI5GDiwt8pYmjTxVO/FERHVQEysiYg0xMbGCjY2VnB0tMeTJ4mIiopGu3b/USh3+vR5ua//nVjb2Fhh//7jaN++JZyd68ud09XVBQCYm5vBzs6mAq6CiIiKcY41EZGGde/+HgDg9OkLCucKCwsRGnoJ/fp1/1+Z8wplgKJR7R493nvjGB4+/B2DB3u/cX0iImJiTUSkcV5enQEAf/xxBQUFBXLnIiKikJubiwULpgMAoqMfKMydzs3Nw4ULEejRo3O5+o2LS4CFRSuEh1+DtbUlDAz03+IqiIiIiTURkYZ5eHSAWKyH9PRMXL4cKXfu1KlwdOnihkaNGqBZM2cAiqPW589HwNjYCG3auFRWyEREpAQTayIiDTM3N4Wb27sAiqZ0lHT69HnZiHbxf0+fDpcrc/bsBXh6doJIJKqEaImISBUm1kREVUDxNI4zZ/4ZjU5Ofo4//7wrm4P9z5SRq8jNzZOVO3PmguycKjNmLISDQwe5l7v7h+q+DCKiGo2JtYZw50UiKqn4wcNbt2KQmJgMoChhfucdJ7zzTj0AQMeObWFqaoxXr7Jx4cJ1AMDjxxL8/XcsPD07ltr+3LlTEB6+T+61b9/aCrwiIqKah4m1hnDnRSIqqWXLprC3t4UgCLLpIEXTQP5Z6UNfXyxbaq94OsiZMxfQurULbGysSm3f1tYazs5Ocq/OndsjLe0vdOnCf+ATEakDE2sioipAJBKhe/dOAIqSZalUitDQSwpTPIqnjBQ/wPi2y+wREZH6MLEmIqoiipPmsLBLuHIlEjk5uejcWX40uWfPLgCAv/+Oxf37sfjjjyuvnV9NRESVg4k1EVEV0a1bR+jq6uLly3QEBf2Izp3bw9DQQK6Mo6M9mjcvWnZv4cI10NXVVbpbIxERVT4m1kREVYSlpTnat28JoGjlD1Uj0cUj24cOnZIl40REpHlMrImIqpCS86VV7aRYMuFWNb86JSUVSUkpkEqlAID09AwkJaUgKSlFjdESEVFJTKzfkFQqxcqVK+Hq6orWrVujfv366NOnD2JiYjQdGhFpseJkumHDenB2dlJapmPHtjAzMwEA2QOP/9at20do0sQTCQlJAAB//6Vo0sQTTZp4VkDUREQEAHqaDkBbTZ48GUlJSQgNDYWZmRmSkpLg6uqKhw8fokmTJpoOj0irRI2J0nQIVUbbti2QlvZXqWX09cV48uRSqWWiok6oMywiIioDJtZv4I8//sDWrVuRkJAAMzMzAICdnR0OHDgAJyflI0xEREREVL1Vy6kgFy9eRNOmTSESiRAbG6v29jdv3ox27drB1tZW7rirqyvs7OzU3h8RERERVX3VKrHOzs7GrFmz8P7775d7rvOJEyfg5eUFKysrmJiYoG3btlizZg0KCwsVyl6+fBlOTk5Ys2YN3Nzc0KRJE3zwwQe4fv26ui6FiIiIiLRMtUmsHzx4gNatW+PAgQM4fvx4ueouWbIE3t7eMDQ0xOnTp3Hz5k14eXlh2rRpGDBgAAoKCuTKP378GEePHkVYWBjCwsIQFRUFR0dHvP/++xUyQk5EREREVV+1Saxv376N7t2749atW/Dy8ipzvfDwcPj7+8PFxQUHDx5Eu3bt0KRJEyxZsgQTJkxASEgIlixZIlcnJycHr169wg8//AATExMYGBhg2bJl0NHRQWBgoLovjYiIiIi0QLVJrPv27Yu1a9fC1NS0XPXmz58PAJg2bRrEYrHcuVmzZgEAli5diuzsbNlxMzMzWFtbo27durJjpqamaNSoEf788883vAIiIiIi0mbVJrF+k53HkpOTce7cOQBA9+7dFc43bdoUjo6OSE9Pl5te0rRpU6Vzr3V1dZGZmVnuOIiIiIhI+9Xo5fYiIiJQWFgIsVgMZ2dnpWWaNWuGJ0+e4Nq1axg4cCCAotHxefPm4enTp3BwcAAA5Obm4v79+/jggw9K7TM3Nxe5ubmy79PT0wEAhYWFSpN1on/TpvdJYWEhBEGQvYiqC76f5RXf4/wso8pS2e+zsvZXoxPrBw8eAABsbW2ho6N88L5OnTpyZYGiaSMbNmxAQEAAtmzZAh0dHSxatAj5+fnw9/cvtc+goCAsWLBA4XhycjJycnLe9FKoBnn27JmmQyiz/Px8FBYWoqCgQOEhYCJtxvezvIKCAhQWFuL58+cK0yqJKkJlfxZmZGSUqVyNTqyLR4uNjIxUljE2NgYApKWlyY5ZWlri3LlzmDFjBho2bAg9PT04Ozvjjz/+QIsWLUrtMyAgADNnzpSLoV69erC1tYW5ufnbXE6Z3b5TKd1QBaldu7amQyiznJwcZGRkQE9PD3p6NfrXDVUzfD/L09PTg46ODqytrWFoaKjpcMqEn4XarbI/C8v6vuZvhjfUqFEjhISElLuegYEBDAwMFI7r6OioHDUnKkmb3ic6OjoQiUSyF1F1wfezvOJ7nJ9lVFkq+31W1v5q9Lu/eIS45Iof/5aVlQUAsLCwUGvfwcHBcHFxgaurq1rbJSIiIiLNqNGJdfEDi8nJySonpUskErmy6uLn54c7d+7g2rVram2XiIiIiDSjRifW7dq1g46ODvLz8+UeTiwpOjoaADiyTERERESlqtGJde3ateHh4QEAOHv2rML5e/fu4cmTJzAzM0Pv3r3V2jenghARERFVLzU6sQaAefPmAQDWrFmjsHzS8uXLAQCff/65bHUQdeFUECIiIqLqpVqtCpKcnAypVKpwrHiJFHt7e4U6Hh4eCAwMxJdffokPP/wQCxYsgKmpKTZv3oyNGzeiT58+CAgIqJT4iWqqu82aazqEcmkefbdC2k1NTcP69Ttx8mQ4HjyIQ3Z2DqysasHOzgbNmzeCu3sbdO7cHk2aNAQATJ78FXbtOizXxo8/LsRHH/UvU39duvjgr7+iZd87OTkgKuoEAKBvX1+cPx+hsq6Ojg4sLS3Qvn1LTJ48Et26uSuUsbBopbTu2rULMWLEPzHu3Pkbpkz5WmnZtLS/ynQtRERVQbUasXZ1dUWdOnVkm7oAgJubm8Kxf5s7dy6OHTuG7OxseHp6ok2bNjh58iRWrVqFw4cPV8h6pZwKQkQlRUc/gLv7hwgO3gFvbw8cOrQBkZHHEBLyE6ZMGYmbN29jxoyFGD36n3XwFy/+AjExoZg6dbTs2LJlGxUGGJQ5dixMllS7ub2LmJhQhIXtkp3fseN7xMSEws3tXQDA1KmjERMTipiYUNy7dxahobswceJwnDt3GQMGfIKNG39R6KO4/D9trkBMTCgGDuwlV27gwF6IiQnF4sVzAAB169op1CUi0gbVasQ6Njb2jet6e3vD29tbfcG8hp+fH/z8/JCenq72pfyISPt8+ukCJCWlYPPmpRg0SP6ZjqZN34GnZyd06eIjd9zCwgwWFmYwNTWGmZkJcnJy8fBhPPbuPYrhw/9ban9Ll26ApaUFXrxIg76+GHZ2NnLnrayKfi/p6xftomdqaixXxt7eFm3auPxv59k1+OabFRg8uA8sLf/Z6OrfbVpaWigcAwAjI0MYGRnC3NwMAKCrq6u0HBFRVVetRqyJiLRRWloGrlyJBAB4eXVWWsbOzkZhpLckS0sLWTL9ulHrU6fC8ejRY7npGG/K07MTACArKwdXr0a+dXtERNqMiTURkYYVFgqyryWSZyrLzZkzETt2rFB5fvbsCRCL9fDgQRz27j2qstySJeswefIImJq+/UPZYvE/f/jMzs556/aIiLQZE2sN4RxrIipmaWmOOnVqAwBmzlyEZ8+eKy1nZVULjRs3VNlO/fp1XztqfebMBcTEPMLEiSPUEDlw8eJ12dfFD1USEdVUTKw1hMvtEVFJc+ZMBACcPx+BVq28MWFCAA4fPoOMjFflaqfkqPW+fccUzi9btgETJgyTmwv9JtLTM7F371F8++1aAEC/fp5wcWn8Vm0SEWm7avXwIhGRtvL1HQKpVIrAwGC8eJGGvXuPYu/eoxCL9eDu3gb9+3th6NB+MDc3LbWd4lHr7dsPYtmyDRgypA90dXUBAOfOXUZUVDR27VpZ7viWL/8Jq1dvAwAIgoCsrKJpH05ODvjkk+H4/PNPXtvG4MFToKurejynoOD1q5kQEVVlTKyJiKqICROGYcSI/jhyJBRHjoTi3LnLSEvLQHj4NYSHX0NQ0I8IDl4Ab++upbYze/YE7N59GPfvx2H//uMYOrQfAGDp0vXw9fWBtbVluWPz9fXBxIkfAQBevHiJLVsO4ODBorYDAibLkvfSrF49H+3atVR5PiTkDObNW1nu2IiIqgom1kREVYixsRF8fPrCx6cvpFIpLl++iQMHTmD37sN4/vwFfH3n4MqVQ3ByclDZRv36dTFs2AfYseNXLFu2AYMHe+PixRu4ceM2tm797o3isrQ0h7Oz0/++c0L79q2QkvIcy5ZtQEGBFPPnT39tG3Xq1C7RhiJbW+s3io2IqKrgHGsN4cOLRPQ6urq6eO+99lix4itcvHgQtWqZIysrB/v3H39t3eK51n//HYv9+49jyZJ1GDNmIGrXVl/yumDBDIhEIqxZsw1xcQlqa5eISFsxsdYQPrxIRCV9991GRESo3r67YUNH2cYx8fFPX9tegwaOGDbsAwBAQMAyXL36J6ZPH6eeYP+nWTNn9O3bDfn5BVi+/Ce1tk1EpI2YWBMRVQHbth3AqVPhpZYxNDQAANjYlG2OdPGo9fPnLzBiRH84ONi9dZz/NnPmxwCAXbt+K1PCT0RUnTGxJiKqInbvDkFaWobSc5mZWQgJOQuRSIR+/TzL1F6DBo4ICJiCvn27YcaMj9UZqky7di3RpYsr8vMLsGLFpgrpg4hIW/DhRSKiKiI+/il69BiJ6dPHoX37ljAzM0Fycipu3ryD4ODtiI9/irlzp6B1axcARcn2q1dZyMzMglQqRVJSCoCi7c+LzZo1XqGfkvUAIC8vH0lJKdDV1YGNjRUAIDU1Dfn5+cjLy5fVSUpKgVgshpWVhVx7M2eOR3j4NezceQjjxw+Fra0VLC0t8OJFmly5Fy/SkJSUAnNzUxgZGcqOZ2fnID09E+npRf+oUHUtRERVnUgQBOH1xUjdgoODERwcDKlUipiYGKSlpcHc/O02bCirs6HOldIPVYzung80HUKZ5eTk4NGjR2jYsCEMDQ1VlrvbrHklRvX2mkfffav66elRCscSE5Nx7Ng5XLgQgdu3Y5CQkITMzCwYGurDwcEOrq6tMHbsYLi7t5HVCQpai8WL1ym0lZameq52afWcnBwQFXUCANC3ry/On49QKNO5c3scPbpZ4biHxzBERt6RfX/o0AYMGKB8beu1axdixIj+su937vwNU6Z8rbTs665FU8zNVS8bWBOV9V6vSvhZqN0q+7MwPT0dFhYWr83XmFhrWFn/R6kTf5lot+qYWNc0yhJr0i5MrOVp473Oz0LtVlUTa86xJiIiIiJSAybWRERERERqwMSaiIiIiEgNmFgTEREREakBE2siIiIiIjVgYk1EREREpAZMrDUkODgYLi4ucHV11XQoRERERKQGTKw1xM/PD3fu3MG1a9c0HQoRERERqQETayKqcNyHiqh64z1OVISJNRFVGB2dol8xUqlUw5EQUUUqvseL73mimop3ABFVGLFYDF1dXWRnZ2s6FCKqQNnZ2dDV1YVYLNZ0KEQaxcSaiCqMSCSCsbEx0tLSOGpNVE1JpVKkpaXB2NgYIpFI0+EQaZSepgMgouqtdu3aiI2NRVxcHKysrGBgYFDjP3zz8jgfVdvl5ORoOgSNEwQBubm5SE1NRWFhIWrXrq3pkIg0jok1EVUofX19ODo6IiUlBRKJRNPhVAk5Oc80HQK9JUNDTnkoZmJiAnt7e+jr62s6FCKNY2JNRBXO2NgYTk5OKCgoQEFBgabD0bhLlz/RdAj0ljo2P63pEKoEPT096OkxlSAqxruBiCoNP4SLFBY+1XQI9JYMDQ01HQIRVUF8eFFDuPMiERERUfXCxFpDuPMiERERUfXCxJqIiIiISA2YWBMRERERqQETayIiIiIiNWBiTURERESkBkysiYiIiIjUgAvKapggFG1tnJ6eruFISFvwvUKkebwPiTSrsu/B4v6K8zZVmFhrWEZGBgCgXr16Go6EtIeFpgMgIt6HRBqmmXswIyMDFhaq+xYJr0u9qUIVFhbi6dOnMDMzg0gk0nQ4Wi89PR316tXD48ePYW5urulwiGok3odEmsV7UP0EQUBGRgYcHBygo6N6JjVHrDVMR0cHjo6Omg6j2jE3N+cvEyIN431IpFm8B9WrtJHqYnx4kYiIiIhIDZhYExERERGpARNrqlYMDAwwb948GBgYaDoUohqL9yGRZvEe1Bw+vEhEREREpAYcsSYiIiIiUgMm1kREREREasDEmoiIiIhIDZhYExERERGpARNrqvJSU1Mxf/58uLq6wsLCAvr6+qhTpw7atm2LUaNGYf369YiOjpaV/+yzzyASiZS+TExMUK9ePfTq1QuBgYF4+vSpBq+MqOrp2rWr0ntn7NixcuViY2NV3mfnzp1TaDc7Oxtr1qxBz549YW9vD319fdjY2MDV1RUBAQGIj4+vnAsk0hINGjSQu6+GDh2qsuy5c+eU3ouq7ud/36Nbt25VKLN169aKvcDqSiCqwm7fvi3Y29sLZmZmwoIFC4SrV68K8fHxwp07d4Rt27YJzZo1EwAILVq0kNVJT08XJBKJMGvWLAGA0LFjR0EikQgSiUSIjo4WTpw4IcycOVMwMzMTxGKxMGfOHCEvL0+DV0lUdTx//lyQSCRCx44dBQDCrFmzBIlEIrx8+VKuXEFBgSCRSISrV68KAAQAwtWrVwWJRCLk5ubKlf3jjz8EBwcHwcrKSli0aJFw9epVIS4uToiKihI2btwouLi4CPr6+kJQUFBlXipRlfbs2TO5exGAsGrVKqVlc3NzZZ9zAISVK1cKEolEiIuLEx4+fCjY2dkJAARPT0+l92hWVpYgkUiEzp07C6NHjxYkEomQlZVVGZdZ7TCxpiqtU6dOAgDhl19+UXpeIpEI9vb2col1sXnz5gkABA8PD6V1ExMTZb+wevbsyeSaqAQPDw8BgDBv3rxSyz169Ej2of/o0SOF86GhoYJYLBYaN24sJCQkKG0jLy9PGDBggABAmDFjhhqiJ6o+PDw8BD09PQGAIBaLhUuXLpVaHoCwZcsWuWO7du2S3achISFK6+3Zs0ewsbERUlJS1BV6jcSpIFRlpaWl4eLFiwAAb29vpWXs7e1L/fNYaezs7HD06FHUq1cPp06dwpdffvnGsRKRopSUFAwaNAgFBQX4+eef4eDgoLScWCzGtm3bYGdnh++//x6HDx+u5EiJqrYhQ4agQ4cOyM/Ph4+PD1JSUspVf/jw4fDy8gIATJ06FVlZWXLnX758ienTp+O7776DtbW12uKuiZhYU5VVWFgo+zohIUFlua+//hoHDhx4oz4sLS1lCfUPP/zAOddEahQUFIQXL16gU6dOcHNzK7Wsubk5Pv74YwDAV199VRnhEWkNfX197N+/H7a2tnj8+DFGjBgh9xlZFmvXroWhoSHi4uKwYMECuXP+/v5o1qwZxowZo86wayQm1lRlWVpayka4Jk+ejKSkJKXlrK2t0bRp0zfux8fHByKRCLm5uQgJCXnjdohI3t69ewFANlL2OsXloqKicO/evQqLi0gbOTo6Ys+ePdDV1cWpU6fwf//3f+Wq36hRI8ydOxcA8P333+PWrVsAgAsXLmDbtm1Yt26d2mOuiZhYU5X2zTffAAB+//13NGzYECNHjsTBgweRkZGhtj4sLS3xzjvvAACuXLmitnaJarL4+Hg8efIEANC8efMy1SlZ7vLlyxUSF5E269atGxYvXgwAWLhwIU6ePFmu+l988QWaNm2K/Px8TJ48GXl5eZg4caLsOL09JtZUpU2cOBHBwcGwsrJCdnY2du7ciUGDBsHa2hqenp5Yu3Yt0tPT37ofGxsbAFA5Kk5UU3377bcwNTVV+WrRooXSeiXvpVq1apWpr5Llnj179jZhE1Vbs2fPxpAhQ1BYWIgRI0bg8ePHZa6rr68vG5k+f/48PD09UVBQgICAgIoKt8ZhYk1V3pQpU/D48WP8/PPPGDx4MGrVqoX8/HyEhYXBz88Pzs7Obz2FQxAEAIBIJFJHyETVxqRJkxAZGanydezYMU2HSFTjbN68GS4uLnj+/DmGDBmCvLy8Mtft2rUrRo8eDaBoGsiPP/4IAwODigq1xmFiTVrB2NgYI0aMwL59+5CSkoLff/8dkydPhrGxMVJSUjBs2DDExcW9cfvJyckAgNq1a6srZKJqwcrKCo0aNVL5ql+/vtJ6dnZ2sq9fvnxZpr5KlitZn4jkmZqa4uDBgzA3N8eVK1cwa9asctUfN26c7Otu3bqpO7wajYk1aR1dXV28//77WLt2LaKiomBpaYmsrCzs3r37jdp7/vw5YmNjAQAdO3ZUY6RENZeTkxPq1q0LAHI7o5bm7t27sq87depUIXERVRdNmzbFtm3bIBKJsGbNGuzZs0fTIRGYWFMV9+2335b6QOE777yDYcOGAYAsOS6vX375BYIgwMDAAP369XujNohIkY+PDwDg9OnTZSp/5swZAECbNm3QqFGjCouLqLoYMGAA/P39AQDjx48v8z9iqeIwsaYqbcOGDa+dw2loaAgAsLW1LXf7KSkp+PbbbwEA06dPR506dcofJBEpFRAQgFq1auHChQu4du1aqWUzMjKwadMmAJCtekBEr7do0SJ4eXkhMzMTgwYN0nQ4NR4Ta6rytm/fjrS0NKXnMjMz8euvv0IkEuHDDz8sV7sSiQR9+vTB06dP0bNnTyxatEgd4RLR/9ja2mLfvn3Q1dXFqFGjkJiYqLRcQUEBxo4di8TERMyfPx89e/as5EiJtJeOjg52796N+vXr486dO5oOp8bT03QARKURiUSIjY2Fu7s75syZgw4dOsDc3BzPnj1DREQEVqxYgdjYWCxYsABt27YFUDTy9erVK2RmZgIA8vLyZB/oGRkZePjwIU6cOIGffvoJubm5+PzzzxEYGAixWKyx6ySqKlJTU5GXlydbZSAzMxOJiYkwMjKChYWFrJxUKkVycrLswV+g6CFgQ0NDWFlZQV9fHwDQo0cPnD59Gh999BFatmyJmTNnwsvLC3Z2dkhPT8fly5fx/fff4/79+1i5ciWmT59euRdMVEUlJydDKpUiLy8P2dnZSExMhK6urtK/zlpbW+PAgQPo3LkzcnJyVLaZl5eH1NRUpKamyo4Vfz7a2tpCV1dX/RdSw4iE4nXGiKogiUSCw4cP4/fff8dff/2Fx48fIzMzE4aGhnB0dIS7uzs++eQTvPfee7I6n332GVatWqW0PSMjI1hZWcHFxQUeHh4YN26cbHdHIipaiuv3339XOD5mzBhs3bpV9n1sbCwaNmyotI2wsDB07dpV7lhWVhY2bdqEw4cP46+//sKLFy9gYmICZ2dneHl5wc/PD46Ojuq8FCKt1qBBA4XVrurXr1/q80RbtmyBr68vtmzZgrFjxyqcP3funMpVQB49eoQGDRq8RcQEMLEmIiIiIlILzrEmIiIiIlIDJtZERERERGrAxJqIiIiISA2YWBMRERERqQETayIiIiIiNWBiTURERESkBkysiYiIiIjUgIk1EREREZEaMLEmIiIiIlIDJtZERERERGrAxJqIiIiISA2YWBMRaVDXrl0hEokUXmPHjtV0aG/l0KFDmD9/PiIjI1WWCQwMhJWVFUJDQysvMCKiCsTEmohIgw4ePAiJRIKOHTsCAGbNmgWJRIJVq1ZpOLK3c+jQISxYsKDUxHrXrl148eIFDh48WHmBERFVICbWREQaZGVlBXt7e+jr6wMATE1NYW9vDwsLCw1HVvE+//xzdOjQAePGjdN0KEREaqGn6QCIiKhmGjt2rNZPeSEiKokj1kREWuzKlSsYMmSIbNTbwcEBw4YNw40bN1TWycrKwrfffovWrVvDxMQERkZGaNasGcaNG4djx46hsLBQVjY3Nxf79u3D0KFD0bRpUxgZGcHCwgKdO3fGtm3bFNreunUrRCKR7Ny4cePk5o7Hxsbi3LlzZZpP/uTJE0ydOhXOzs4wNDSElZUVevTogQMHDiiU7dGjh0I/mzZtQqtWrWBoaAg7OztMnDgRGRkZSvs6c+YMvL294ejoCH19fTg6OmLIkCHYs2cPsrKySvtfQEQkw8SaiEhLrV27Fp06dUJcXBx27dqF+/fvY+vWrbh79y46dOigNPF99uwZOnbsiPnz52Po0KG4efMmrl+/Dj8/Pxw8eBB9+/ZFSEiIrPzNmzfh4+ODlJQUrF+/HtHR0Th79izc3d0xbtw4TJkyRa79oUOHQiKRwMfHBwCwcuVKSCQS2atevXro1KkTJBIJVq5cqfLaLl26hFatWmH//v1YuHAhoqOjcfLkSVhaWmLw4MH45JNP5Mrv27cPEokEjo6OAICgoCD89ddf2LNnDy5fvoyePXtiw4YNGDVqlEJfGzZsgJeXF2xsbHDo0CH8/fff2L59O5KTkzFs2DDs3bu3zP9PiKiGE4iISOM8PDwEAMK8efPKVP7ixYuCrq6uYGdnJ7x8+VLu3LNnz4RatWoJYrFYuHnzptw5b29vAYCwdOlShTZ37dolABB+/fVX2bEbN24ILi4uQlZWlkL58ePHCwCEa9euKZwbM2aMAEDYsmWLymvYsmWLAEAYM2aM3PGXL18KderUEQAIFy9elDsnlUqFLl26CACE4OBghTbr168vABC8vLzkjufn5wu2trYCACE+Pl6hjpmZmSCVSuWOZ2RkCJaWlqVeAxFRSRyxJiLSQkFBQZBKpRgzZozCg462trYYOXIk8vPzsXjxYtnxGzdu4Pjx4xCLxZg0aZJCm4MHD4aDgwPEYrHsWJs2bXD79m0YGRkplHd3dwcAHD16VF2XBQDYtGkTJBIJ3NzcZKulFNPR0cH06dMBAIsWLZKbtlKSr6+v3Pd6enpo164dAODPP/+UO5ecnIzc3Fw8e/ZM7ripqSnWr18vu04iotdhYk1EpGWkUinOnj0LAHBzc1Napvj4qVOnZMeKv27WrBnMzMwU6ojFYiQkJKBv375yx//++29MnjwZLi4usLKygqmpKUxNTeHn5wcASEhIePuLKqE4ztddm0QiQVRUlNIyjRo1UjhmZWUFAHjx4oXc8e7duyMvLw9ubm5YvXq1XII9ZMgQNGvWrPwXQUQ1EhNrIiItk5KSInugrnbt2krL2NnZAShKItPT0wEAcXFxAIpGtMvqjz/+wLvvvoutW7di+PDhOHbsGCIjIxEZGYn/+7//AwDk5eW98bUoUxzn666tZNl/s7a2VjhWPBIvlUrljm/atAn9+vXD48eP8emnn6JOnTro1KkT1q5dq/JhRyIiZbjcHhERqTRlyhRkZ2cjKCgI/v7+cudUJb5VgUgkKnNZW1tbhISEIDo6Gj///DP27duHS5cu4dKlS1i8eDGOHj2Kli1bVmC0RFRdcMSaiEhLCIKAnJwc2NjYwNjYGACQlJSktGzx8Vq1asHc3BwAUL9+fQBFc4rL4vnz57h9+zYAoGfPnm8Ve3kUx/m6aytZVh2aNWuGRYsW4d69e7h06RLc3Nzw+PFjpfPRiYiUYWJNRKQl4uLiYGRkhPDwcHTv3h1A0TrWyly9ehUA0KtXL9mx4uQ4Ojpa6RSH7Oxs9O7dGxs2bAAAlQ8GFittbrWOjuLHS2pqqsL8ZmWK43zdtdWpU0ctI8ljx47FkydP5I65u7vL1su+efPmW/dBRDUDE2siIi0UEBAAHR0dbNu2TSFZTU5Oxs8//wyxWCw3faNt27bw9vZGfn4+1q1bp9Dm1q1bcfLkSbRp0wZA0RSJBg0aAACOHTsmV7awsFDpRi3FatWqBQB49eqV7Fi3bt0wceLE117bxx9/DHt7e0REROD8+fMK/a5atQoA8OWXXypN4Mtr27ZtOH78uMLx/Px8AICTk9Nb90FENQPnWBMRadCjR4/w6tUrWQL67Nkz3Lp1S2nZp0+fyr7u2LEjVq9ejWnTpsHLywtLlixB48aNce/ePcyePRuZmZnYuHEjWrduLdfG1q1b0aNHD3z55ZcoLCzEwIEDkZ+fj6NHj+Kbb77BF198AVdXV1n5xYsXY/jw4QgMDIShoSH69euH9PR0LF68GHfu3AFQNNKdmJgICwsL2bJ8Hh4e+P7773Hw4EH06tUL169fR1RUFCZNmoS8vDykpqYiLS1Nrn7xaiMWFhayzWoGDRqEFStWoHPnzkhOTsbSpUsRHh6O8ePHy1YlAYC0tDRkZ2fLHkxMTk6GiYkJbG1tkZ2dLTtfXDYxMRG2trbQ1dUFAMyePRvZ2dno1q0bzMzMcPfuXXzzzTfQ1dVFUFDQG///JaIaRtMLaRMR1WTFG8OU5xUWFiarf/nyZWHw4MFC7dq1BbFYLNjb2ws+Pj7C9evXVfaZmZkpLFq0SGjZsqVgZGQkWFlZCZ06dRJ++eUXobCwUKH8sWPHhC5dugjGxsaCgYGB0KRJE8Hf319YvXq1XFz/3khl/vz5gqOjoyAWiwUnJyfB399fKCgoEMLCwpRe1783x4mPjxf8/PyEhg0bCvr6+kKtWrUET09PYd++fQoxFm9IU/JVv359QRD+2Yjm369Hjx4JgiAIERERwueffy68++67gomJiWBgYCA4OzsLH330kXDjxo0y/X8kIhIEQRAJgiBUSgZPRERERFSNcY41EREREZEaMLEmIiIiIlIDJtZERERERGrAxJqIiIiISA2YWBMRERERqQETayIiIiIiNWBiTURERESkBkysiYiIiIjUgIk1EREREZEaMLEmIiIiIlIDJtZERERERGrAxJqIiIiISA2YWBMRERERqcH/A/8nOx/Aq+T/AAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/4AAAJdCAYAAACLY6w5AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACjpklEQVR4nOzdd3hU1fr//c+k94Q0WkJvgihFEEFAmgpYQMSCBYWjeFD0C6gUPRQbgqhHBRtdFEURAQsIIigCKogoR3qvKUBIT0gy6/mDZ+aXkEkyTBIShvfrurgusvfaa917Zrd79t5rWYwxRgAAAAAAwC15VHQAAAAAAACg/JD4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfjjkpWVlaWZM2eqV69eqlmzpvz8/OTn56caNWqoY8eOevzxxzVv3jwdOXKkTNt96KGHZLFYCvyrbH744YdCMc6dO7fM26mMn8UXX3yhLl26qEqVKvL19VVsbKxuvvlmzZgxo6JDc6hOnTqFPsPz/3l7e6tGjRrq06ePvv7664oOGYAD119/fYH9tk6dOhUd0kX3xx9/aPTo0Wrbtq2qV68uHx8fBQcHq27duurZs6fGjRuntWvXKjc3t0zbff755xUcHKxx48Zd8LL3339/mZ/H/vjjD/Xv39/+GVStWlXt2rXTuHHjlJ6eXur6L0Vz584t9jy3du3aQsvccMMNRZZ3Zv/auHGjnnrqKV111VWKiIiQn5+fYmNjdcMNN2jy5Mk6duxY2a9oBXL0eQ0ePNil5Wz/Dh48eMHf24QJE4qsCxXLYowxFR0EcKH27NmjW2+9Vbt27VJMTIzuuece1alTR76+vjp27JhWrlypDRs22MvPnz9f999/f5m0vXHjRu3bt0/r1q3Thx9+KEmqbLtRXFycfvjhB0nSAw88IEmaM2eOHnrooTJtp7J9Fi+99JL+85//KDg4WE888YTq1aunHTt2aPr06apWrVqlPOksWbJEaWlpBT7DsWPH6oorrpB07vNMSEjQ0qVLtW7dOklS//799fHHH8vHx6fC4r7UzZ07VwcPHlSLFi3Up0+fig4HpbRkyRJt3bpVderUKfPjnLNWrlyphIQELV68WF999ZVq165dKY855eHYsWMaNmyYvvrqK4WGhuqWW25RixYtFBERobS0NG3btk1LlixRYmKiJCkyMlJDhgzRSy+9VCbtBwUFKT09XUFBQUpNTb2gZTds2KD9+/eX2Xnsxx9/1M0336y8vDwNHDhQ1157rU6dOqVp06bpxIkTOnDgwGX5o9D+/fvt12XDhw/XyZMn1aRJEz333HOSpB49eqhq1aoFllm1apXi4+O1Y8cOvfLKK5KkRx99VB07dlRQUFCRx+6EhAQ98sgjWrZsmcLDw9WnTx81b95cwcHBio+P148//qg1a9bIz89Po0aN0vPPPy8PD9fvhW7dulVLliyRdC7prSi2z+vkyZMaPny4ffqSJUt0++23O71c3759dccdd0iS+vbtq6+++kqZmZl6/PHHlZOTI09PT73zzjsKDg52+L39/fff+vvvv7VgwQKtWLFCb7/9tsLCwtS3b18FBgaWz8rDOQa4xKSnp5s6deoYSeaRRx4x2dnZDsvNmzfPeHh4GElmxowZZR7HnDlzjCRT2XcjW4xz5swptzYqw2eRmJhofHx8jCSzdOnSAvNGjx5tateuXTGBOSn/Z7hmzRqHZcaOHWsvM3To0IsboJvp3LmzkWQGDhxY0aGgDAwcONBIMp07d67oUMz48eONpEp/zCkrf//9t4mJiTGSzIABA8zp06cdlsvIyDCPPfaY/RjWrFmzMothzJgxJjAw0IwePdrlOsrqPNaqVSsjyQwfPrzA9BUrVhhJ5sCBA6Wq3x3Url37gvbXNWvWOH0ts2vXLnv9DzzwgElOTnZY7vfffzf169c3kky/fv1MVlbWBa7F/1MZroHyO3DggD0eSSYqKsrExcU5vdz48eMdzh8xYoS9zlGjRhVb16lTp0xYWBjn2EqGR/1xyZk3b54OHjyokJAQvfXWW0Xe9XzwwQftd7vh/n799VedPXtW0rnH1vIbPXq0Vq9eXQFRla0XXnhBDRo0kCR98MEH2rdvXwVHBOBydurUKfXq1UtHjx7VXXfdpY8//lhVqlRxWNbf31/vvfee7rzzzjKP45VXXlFaWpomTZpU5nVfiNTUVG3ZskVS4fNQ165dtWPHDtWsWbMCIrs8pKam6rbbbtOhQ4fUv39/zZs3TyEhIQ7LtmnTRj/88IMiIyP15ZdfasSIERc52vIXHBwsSUpMTNS//vWvUtc3btw4RUVFSZL++9//FnsN8uKLLyo7O1svv/xyqdtF2SHxxyXnp59+kiQ1bdpU/v7+xZYdMGDAxQgJlcDp06ft/z//RB8aGqr69etf7JDKnKenp/1xvby8PH3zzTcVHBGAy9nQoUN19OhRBQcH65133nHq/fjJkyeX6rHqyiwpKcn+//PPQ97e3mrSpIm8vb0vdliXjeHDh2vXrl0KCgpyanusU6eO/dH8d999VytXrrwIUV48//73v9W0aVNJ0jfffGN/lcVVoaGheuGFFyRJ2dnZGjlypMNy+/fv17vvvquRI0fyQ1cl455HXri1U6dOSZL9XcHiXHvttXrttdd07bXXlndYqGBWq7WiQ7go8v+AwR1/ABVl165d+uKLLyRJd999t6Kjo51arl69emrdunV5hlZhLpfzUGW0f/9+zZs3T5J01113FXrvvCiDBg2yv3deVn1OVBb+/v5asGCBfH19JUkjRozQ3r17S1XnI488oubNm0uSli5d6vBpytGjR6tKlSoaNWpUqdpC2SPxxyXH9hjh/v379fvvvxdbNjQ0VE8//bT9IOWIMUYLFizQzTffrKpVq8rb21vh4eG67rrrNGrUKG3atMmpuLZs2aI77rhD0dHR8vPzU7NmzTR16lSnLgTWrFmj/v37q0aNGvLx8VFkZKQ6d+6sd955R9nZ2cUum5CQoGHDhqlOnTry8/NTzZo1de+99+qvv/4qdrl27doV6G31/McS4+LiynxkgJSUFL3wwgtq2bKlQkJCFBAQoAYNGmjw4MElxlsU28gCDz/8sH1aST3/5uTkaPr06ercubMiIyPtvf8PGDBA69evL7ad83t+3r59ux588EHFxsbKy8ur3Huv9fT0LLAe5/vmm2/Ut29fVa9eXb6+voqOjtZNN92kTz75xGGHVc721Pvyyy/LYrHYf+0vqY7zWa1WzZ49W127drV/5raRCpYuXepwXc8f8cC2jX733Xe66aabFB0dLQ8PjwvqQd1Wp+3JoXnz5hXZ8/D5022dxn3yySfq1KmTIiIiHO4/qampmj17tu644w57p6NBQUFq1qyZRowYoaNHjzqMzVGv12vXrlVCQoKeeOIJ1apVS76+vqpVq5aeeOKJAk+5OPL555/rpptuUlRUlP241rFjR02YMEHbt28vULao7Xv16tW67bbbVK1aNfn6+qp27doaOnSo4uLiSvys169frwEDBig2Nla+vr7249q7777rcNtdu3atw2NOVlaWXnrpJTVv3lxBQUH2eRMmTLD3Rm274P/pp5+c6nW6tMeiRYsW6YYbblBoaKiCg4PVsmVLvf7662XeW/2F7s9lvQ0VZ/bs2fYYbrvttgta9uuvv9by5cudij0pKUmjRo1S48aN5e/vX2DbuNCRZX788Uf16tVLERERCgwMVNOmTcukp31b7HXr1rVP69KlS6HjiqPezg8ePKgjR45o6NChqlu3rnx8fIrcdsvy3LVlyxbddtttioiIUHh4uLp27ao1a9bYl8vKytKLL76ohg0bys/PT3Xr1tVzzz2nrKysUn1W5WX27Nn2/e9Ctkd/f3/16NFDkrRu3Trt2rXL6WVt32dR1x+249T5jDH6+OOP7ecxX19fVa9eXX379tW3337rdPvOuPrqq/Xqq69KktLT0/XAAw8oLy/P5fo8PT313//+1/73//3f/xWo79dff9UXX3yhF154QUFBQS63g3JSoT0MAC54/fXX7Z2LxMTEmBUrVrhc15kzZ0yXLl2MJBMbG2vGjRtnZsyYYcaNG2caNmxob+ff//53oWXzd+ayatUqExsba55//nkza9Ys8/TTTxt/f38jyTzxxBNFtp+Xl2eeeOIJI8mEh4eb0aNHm1mzZpmXX37ZXHHFFfYOkA4fPuxw+f/9738mOjraSDKNGzc2r776qpkxY4YZOnSoCQsLs3cmJAcd4qxYscLMnz/fdOzY0WEnO5mZmWb+/Plm/vz5JXaq40zHNlu3bjXVq1c3kkyPHj3MO++8Yz788EPz0EMPGS8vL2OxWMzUqVOLXL4oGzZsMPPnzzePPvqoPQZb3PPnzzdfffVVgfJHjhwxzZs3N5LMFVdcYSZNmmRmzJhhnnzySRMQEGAkmREjRhir1VpiO2vWrDGRkZHmiSeeMDNmzDCjR482fn5+LnXg5EznfsYYM2HCBHu5l156yT49Ozvb3H333UaSiYiIMKNGjTIzZ84048ePN7GxsUaS6dKlizlz5kyB+ubPn2/+/e9/2+t86623zPz58wt1BNSmTRsjybRu3bpQTPPnzzfvvPOOkWSGDBli5s+fX2D+6dOnTYcOHQp85rNmzTLPPvusCQ8PN5JM//79C3Wu9NVXXxXaRqdMmWJiYmLMuHHjzIcffmjuv//+C+pIzVZnkyZNjCTTsWPHAtvL/PnzTVpamn298pcdOHCgefzxx02jRo3MK6+8Yj744APTu3fvQvtPixYtjCQTFBRknnzySfP++++bl19+2XTq1MlIMmFhYWbdunWFYtu3b5+ZP3++efPNN+3fxyeffGLq1atnhgwZYmbOnGlefvlle0dqLVu2NGfPnnW4noMGDTKSTL169ezHtVdeecVcc8019ro///xze3lH2/fbb79t/Pz8zL///W8zY8YMM3nyZNO0aVP7NrZ161aHbVutVjN8+HAjyQQEBJgnn3zSzJgxw0yaNMl+XGvevLk5evRogeXi4uIKHXOmT59u2rRpY7p27Wrefvtt8/bbb9tjGD9+vFm5cmWBbaRJkyaFvs/zt+XSHosef/xxI8l4enqaQYMGmQ8//NC89tprplWrVqZ79+7m+eefL3Xnfq7uz2W5DZWkbdu29jYOHTrk8roWF/tnn31m6tevb/r27Wvee+8989prr9ljnzNnjsPttihTpkyxl+nXr595//33zVtvvWVuuOEG07x5c/P222+73EGbo9jHjh1b6Ljy119/mfnz5xfoqPXbb7811apVMwMHDjQffvihefHFF02VKlUKnQvK8ty1evVqU79+ffPCCy+Yd99919x55532bXrp0qUmJyfH3HLLLfbte/To0SY4ONhIMnfeeecFfz7nK4/O/a677jp7mYMHD15QPLYOOSWZ999/3+nlbN9nUdcf8+fPN3/99VeBZc6cOWNuuOEG+3Xn+PHjzcyZM82oUaNMRESEkWTuueeeIjuudsb5nfRZrVZz00032WOcOHGiU8sV5/bbb7fX984779ind+jQwTRr1szk5ua6HD/KD4n/RbB+/XrTqFEjenMtIydPnjSRkZEFeixt0aKFeeONNy7o4iMvL8+e9Ddv3twkJSUVmJ+dnW3uuOMOI8ncfvvthZbPn6g1a9bM7N+/v8D8jz/+2EgyHh4eRX7vtgvEGjVqFErus7KyTLdu3Ywkc80115icnJwC89PT003dunWNJNOuXTuTkZFRYP7GjRvtF4jFnSyd6Q27tIn/iRMnTFRUlJFknn/++ULzv//+e/sIDOcn6s5y5seH9PR0e+LRvXv3Qonm1q1bTVBQkJFkJkyYUGI7DRo0MJs2bSow/6WXXirXxN+WPEoyGzdutE+3fY/Vq1cvtC0lJSWZK6+80kgy3bp1K3RhePjwYXudH3/8caE2jx8/biwWi5FkLBZLoYTNGGM+/fRThxdceXl59h70u3XrVugzP3z4sD0Je+qppxyus23dqlatapo2bWpOnTpVYH737t0vOMm6kF79bWVr1qxpOnbsaDIzMwusX6NGjQrsP82aNTPBwcFm+/btheqyXWBWrVrV/gPD+fL3yFyjRg3z5ZdfFpi/d+9e4+XlZSSZefPmFVre9oNfTExMocTQarWaBx54oMj9Of92GBgYWGAbM+bcD4K2bTA2NtakpKQUuY5BQUGFfhzIysoy3bt3N5JM06ZNCx23bGwx1KxZ0zzzzDMF5h0+fNhYLJYCF6fO9upf2mPRe++9Z49t8eLFBebl5uaaO+64w15/aRL/0uzPxpR+G3KGbRQVHx8fl5YvSv7Ya9asaaZNm1Zg/i+//FJo+y3p+L98+XL7/DfffLPQ/Keeesr+vbmS+DuKvbjjeP5ENiYmxnz99dcF5tuuH2x1lPW56+qrry50HLeNuFC3bl3z9ttvmw8//LDA/PXr1zs897jClvi3b9/eJCYmlvhvyZIlJV6H+Pr62rdHR/tEcWyft3Tux+sL5Wyv/nl5eaZr165GkrnyyisLXXfmPx8+9NBDFxyHjaMEPv+xz8vLq9C1S1HLFWXPnj32Y0B4eLg5deqU+fLLL40ks3z5cpdjR/ki8S9HGRkZZsSIEcbT09N+QCivxN9qtZr58+ebHj16mKioKOPj42Nq1qxpOnfubMaNG+fw4uxStmHDhgIn6fz/rr76ajN+/HizZ8+eYuvIf6B2dPfNGGOOHTtmPD09S0z8HZ1os7Oz7Xd/33vvvULzd+/ebd82Zs+e7bD97du329v45JNPCsx79dVX7fN+//13h8vbniao6MTflmjUrVu3yF+B77rrLiOde3LhQk/azsRgzP+7W+7p6Wn27dvnsIwtaSmqTP52Ro4cWWj+X3/9ZQYOHGgSExNdjr+oC8Zvv/3WXqZLly726WvXrrVPnzt3rsNl819oOrrQv/rqq40kc/fddxea98EHHxgfHx97QuRoex4wYIBp3rx5oemzZs0y0rkfwPbu3eswtnfffdf+mTt6usW2jUoqdIFsjDELFy50+F0Ux5XEX5L5+++/C82fPn26mTRpkv3vZs2aOXxKyJhzyWGtWrWMJDNz5kyHZfInD506dXJYxnbHyNH3Zbvb3q9fP4fL7tmzx6nEf9iwYQ6X//vvv+1lzr9A3Lt3r/24VlQCsnfvXvu2VNSdJ1v91atXd3jna9iwYQUSc2cT/9IcizIyMux3Ynv16uVw2RMnThhvb+9SJf5lsT+XdhsqSXJysr3+iIiIC16+OPljd/SEUXZ2thk4cGCB83ZJx//8T9A5Or9kZGRUWOLvaD89duyYGThwoNmxY4cxpuzPXS+//HKh+Zs2bbLPb968ucPPyfY5jh07tsh1c4Yt8Xfln6PjVkpKSqm2x2XLlhX7fZTE2cR/7ty59nJr164tsa6ffvrpgmMxpugEPv96Nm7cuNAPrxeS+BtjzDPPPGOv79FHHzUNGzY0PXr0cClmXBwk/uVk7969plGjRqZ27dpm5cqV5Zr4p6enmx49epjq1aub9957z+zYscPs27fPfP755/Y7viUlwZeixMREM3z4cPvjZ+f/s1gs5o477ijyKQDbI6+xsbHFttO1a1fzwAMPFJqe/+Ds6JdTY/7fSXLEiBGF5j399NP2k3RR48waY+xJwi233OKw7jp16hS5bP4LyIpK/E+fPm2/ED7/zl1+s2fPttexefPmIssVpaQTr9VqNVWrVjWSTIcOHYqsZ/fu3fZ6nn322WLb2bBhwwXH6Uz8S5YsKXC3Y/v27eaVV16xP85Zv359c+zYMfuy/fv3N9K5Ox1F3UU2xpiaNWsaSaZt27aF5tmePgkLCyv0dEnv3r1Nz549Tbt27RwmPTk5OaZKlSoOLwZt+1mbNm2KjGv//v32dXf0iLVtGw0ICCgUm6tcSfwbNWrkVN3Hjh0r9sfW2267rdi28ycPr732msMyttczWrVqVWjek08+aT82OLqjbrVazapVq8zx48cLzXP2otP2uP35yW3+C8Hizjvt27c30rknHxwlGPkvJp3hzHGstMeihQsXlpiQG/P/EmpXE/+y2J9Luw2V5OjRo/b6Y2JiSix/5swZh3dy09PTi439lVdecSqe4o7/v/32m31eUT9GGWPMQw89VCGJ/4IFC4qtszzOXX/88Ueh+fl/zCnqR78+ffq4nBznZ0v8r7rqKrNq1aoS/02dOrXY65D822NJ13SO/PDDD/blu3fvfsHLO5v4216Zq1mzZpFlUlNT7XfS77rrrguOxZjiE/j8r/YNHTrU6eUcSU5Otr9uKp37gf/8VxtQudC5Xzn5559/1K1bN/3vf/+zdxpSXgYOHKjffvtN69ev12OPPaYmTZqoXr166t+/vz766CNVrVpVXl5e5RpDRYiMjNQbb7yh+Ph4ff755xowYIDCwsLs840xWrx4sVq1aqVt27YVWDY5Odk+1m6rVq2KbWf16tX66KOPii3TsGFDh9Nt8SQnJxeaZ+tEJzY2VmfPntXJkycd/rP1lJy/k8HTp09rx44dkqQWLVoUGVezZs2KjftiWL9+vb0jr7p16xa5nvk7gXG2Q8UL8c8//yg+Pl6Siu1RumHDhvZhmPJ3dOTIFVdcUXYB5tOnTx9FRUXZ/zVt2lRjx46Vt7e3nnzySW3evFk1atSwl7fF2aRJE3vvxI7YtvU//vhDqampBebdeuutkqQzZ85o3bp19ukZGRlavXq1br31VnuZH3/8sUBnWL/88ouSkpLs823y72eNGjUq8ru39TgsFf/dN2zYsEKPZc5+3zVq1LCPnyxJaWlpOnXqlH19AwICJMmpDvJcObZ06NBBknTw4EF16NBBX331VYHO9CwWi7p3767q1asX23Zxxw/bcefQoUMFOiv88ccfJZ3rWLVBgwZFLm/bB+Pj4+3HMkfKch8r7bEof+dp5XncLYv9OT9XtqGS5N++MzMzSyx/++23Fzim2f5NmTKl2OXK4vu/WN+bq0pax/I4dznaJvJ/p0VtM7YyZ86cKbZ+Z1WpUkXdu3cv8V9Jo0DkHzrRme3xfPmXCQ0NveDlnZGSkqI//vhDUvHfY1BQkBo3biyp5O/RFa+//rp9m3v33Xe1YsUKl+sKCQkpMBLCgAEDdNVVV5U6RpQf98sGK4nevXtfcC+3rvjhhx+0aNEijRkzpkBvsjY33HCDUxeXlzJ/f3/1799f/fv3V25urlauXKkPPvhAX3/9tYwxOnXqlAYOHGhPQKRzF8S23vbzJ1Cuyn/CzM/Hx0eSHPb0bBuK7eDBg4qKiiqxjcTERBljZLFYdOjQIfv04i7ebSMgVKT8Q84NHTpUQ4cOLXEZ20VOecVR0riyNWrUUEpKSonD5Z0/TnNZmTp1qq6++mr7397e3oqMjFSTJk0K9OovnbtoP3nypKSS18s2Py8vTwcPHiww2kWbNm1UrVo1xcXF6euvv1aXLl0kSStXrlRWVpZuvfVWJSUl2Xt1Xrlypfr27SvpXA/d0dHRatu2bYH28u9nn3zyiT755JMS17247768Pm9nOdu+MUbz58/XnDlztGnTpiJ7DHemd2xXji39+/fX4sWLtXDhQv3555+64447VKVKFd1yyy3q16+fevbsaV++OPl/SD1f/uPmoUOHFBMTI+n/7WclHVfzb6v79u2zjzV9vrL8zkt7LMo/Ukd5HXfLan/Oz5VtqCQhISHy8fHR2bNnlZqaaj83FeX111+3j3EfHx+v+++/3+l2SutifG+lUdI6lse5y1Fv6/m/v6J6Y/fwOHe/sKxHryit4OBg+fr6Kjs7WykpKRe8fP5lnLkec8WBAwfs50Nn9u1t27YpMTFRqampRe7DrvD399enn36qtm3b6uzZsxo0aJC2bdumiIgIl+rLf3Mz/3DDqJxI/MvJ+RfnzkpMTNSrr76qZcuW6fDhwwoICFCLFi306KOP6t577y1U/sMPP5Qk9ezZs1TxugsvLy/16tVLvXr10tq1a9W7d29lZGTozz//1LZt2+wXRmlpafZl/Pz8St2u7WR4IWwxNGjQQO+9955Ty9gurvInEsXF7+p2WJbyf9YvvPCCrrvuuhKXcXZoNlfjKOk7t80v6QLCle/dGa1bty40vGJRXFkvqfC6WSwW9e7dW7NmzdLXX3+tN954Q5K0bNkytWzZUjExMYqJiVHt2rV16NAhLVu2rEDif8sttxT6PPLH1q9fPz322GMlrk9xd1vK6/N2ljPt5+bm6o477tDXX38tb29vDRo0SO3bt1f16tXtF9avvfaaVq5cWWZtns9iseizzz7TnXfeqbffflvr1q1TUlKS5s+fr/nz5ys6OlrPP/+8hg0bVmw9xR0/8m9L+b9n2/9Lsy3mV5bfeWmPRRfjuFtW+3N+5bXftGzZUr/99pvOnj2rgwcPOrz5YJP/DueFDHVaFrFX9vNlSetYHueukoY9LGl+ZdSyZUv9+uuvOnv2rA4fPqxatWo5veyePXvs/7/mmmvKI7xS7dtlmfhL54b4mzRpkkaOHKkTJ05oyJAhWrRoUZm2gcqJxL8S2blzp7p3764zZ85oypQp6tatmxISEvTaa69pwIAB+vnnnwsliD/88IOkc48tTps2TR9//LH27t0rPz8/tWjRQkOHDlWvXr0qYnUq3A033KCnnnpKkyZNknTu87Ul/vkPohU1Jm1wcLCSkpLk6emp7t27X9Cy+X+NLy7+0ozVamP7hdpV5z8+eKHrWlYu5Du3zS+vR/7KkivrJTlet1tvvVWzZs3S3r17tXPnTjVq1EjffPON/v3vf9vL3HLLLZo+fbq+/fZbWa1W7dmzR3v27HH4yG7+2CIjIyvsu7+Ypk+frq+//lqS9Omnn6pfv36Fynz88ccXJZY777xTd955pw4ePKiFCxdq/vz5+ueff5SQkKAnn3xSiYmJeuGFF4pcPi8vr8hkKP+2lP94ZDuulXZbLA+lPRadf9wt6k5taY67Zbk/l7cuXbrot99+k3RuTPjiEv+KdDHPl+XBXc9dZa1r16769ddfJUlbt269oMT/r7/+sv+/W7duZR6bVPn27eHDh2vFihVatWqVvvzyS82bN0+dO3cul7ZQefCOfyWRl5enO++8U8eOHdOsWbM0dOhQNW7cWB07dtTSpUvVqlUrvf/++/ryyy/tyxw5csT+6Nx9992n9957T6NHj9bPP/+sadOmaf/+/erdu7fGjh1bUatVLqZOnapq1arp7NmzJZZt166d/f/GGPv/69ata/+V/fjx42UfpBNs778ePXq0QGzOqF27tv0X+RMnThRZzrZ9FMf2znRRj+658thcfvnf8z18+HCp6iqrOEr6zm3zL4XH1kJCQuyPJpa0XseOHZN07s5W7dq1C83v3r27/X37b775Rhs3blRiYmKBd/dt/09MTNSvv/6qr7/+Wr6+vg77Msm/n1Xkd38xffHFF5LOPXLrKOmvCHXq1NGoUaP0v//9T998843Cw8MlSa+++mqx73cX9x5v/m0tf8Jn28+c3Rali7eflfZYlP/uf2mPu0Upy/25vA0aNMi+f3/11VcXvX1nXYzvrTy567mrrA0aNMh+PbNs2TKnl7O9uiZJN954Y7k8cShd2HWnbd+Ojo4u8rWL0rJYLJo3b54iIyMlSU8++WSB10jhnkj8K4klS5bon3/+Uc2aNXXXXXcVmGexWDRkyBBJ0rRp0+zTExMT7f///fff9cMPP6hPnz5q2rSp+vTpox9//FGhoaGaNGmS04+VXgrS0tIUHx+v/fv3l1g2/93q2NhY+/+Dg4Ptj3PZOlspypAhQ3TXXXeV+ZMBtneo09PT9b///a/Icr/++qu8vLwKJF9VqlSxvxP7559/Frns9u3bS4zDdteqqIv83bt3l1hHcdq3b29/l9R2d6govXr1kpeXV7l07nfFFVeoWrVqkor/zvfu3Wv/scP2HVV2tjh37typjIyMIsvZ+rm45pprHD46GBgYqK5du0o69/j+smXLVKNGjQKP6d5www32C5Fly5Zp2bJl6tq1q8NOyPLvZ5s2bSr26ZHJkyfLy8tLU6dOLWl1y0R5PcqakJAgqfh3OPM/8lkeFi9erPfff9/hvN69e+vFF1+UJOXk5BS7fxd3/LAdd+rWrVvgfX7btpicnFzse8a2bbFatWpq0qRJkeWc5cz3Wdpj0fXXX2//f2mPu8Upq/25vDVs2FD33HOPJOnLL7+stEnDxfreyos7n7vKUv369TVw4EBJ0ueff24/Fpdkzpw5Sk9Pl8Vi0YQJE1xq25njj7PXnenp6dq1a5ek8v8eq1evrpkzZ0o6d5Pn0UcfLdf2UPFI/CsJW2LeqlUrhweQevXqSTqXBNoeR8t/QdC/f/9CndZUq1ZNd999tyTpnXfeKZe4K9LChQtLLGPrrTQiIkJt2rQpMO/xxx+XdO6Oe/5ezPP766+/9OGHH+r48eNl0hdAfkOGDLE/Rjt37twiy82aNUt5eXn2Cywb2wnu0KFDRSbK+Z8QKUqjRo0kSfv373d41/+bb74psY7ihIWF6b777pN07vsoqvO2Q4cOaeXKlapfv365vGNnsVjsj6xv3LhRBw4ccFhuwYIFks7dRbtUToK2Tsqys7OL/M5//vln+10E27bviO0HpvXr12vhwoW65ZZbChyTfH19deONN0qSPvvsM23YsKFQb/752do6efKkvv32W4dlcnNzNW/ePFksFvXv37/IusqSrWf9/L3dZ2VlqUmTJvrXv/7lcr224/C+ffsc/tBhjNHWrVtdrt8Zy5Yt07hx44qcn/9cUVwHfkVtS9u2bbP3xP/QQw8VmJf/uGbbl8534MAB+yO5Q4cOLZMfYRx9n9K5EQ5sfeCU9lh0yy232J+WsD3Zcb74+Hj98ssvpVqXstyfy9s777yjWrVqKSsrS48++mil6/RNOvfDiO2H8kWLFjl8wi4rK6vI41NFc+dzV1l788031aRJE6Wmpuqpp54q8WnKw4cPa/z48ZKkcePGOdXvhyO2449U8Bg0fPhwNWnSxH6jzpnrzi+//NL+RKszHZCW1u23327vf6e0N3pQ+ZH4VxK2xw6XL1+uoKCgQv9sIwRkZWXp9OnTks71zGlTVI/Itjt1v//+e3mGXyFeffVVLV++vMj5n376qWbNmiVJmjhxYqFhwO6//3773c0nnnii0CPtGRkZeuSRRyRJzz//fFmGLuncjzn/+c9/JJ17ksM2DFZ+ixYt0qxZs9SqVSv7jzg2jz/+uP0R26eeeqrQEDabNm3S7NmzS4zjpptuksViUWZmZqGLzP3792vx4sUXtF6OTJo0SVWrVlVGRoYGDx6s7OzsAvNTU1M1YMAA5eXladKkSeV2N/aZZ57RFVdcoby8PD322GOFXhfZtm2b/Y7zuHHj7D+4VXadO3e2J2BjxowpMLyadO6XfFtHbt26dSu2R+1bbrlF0rnXjw4dOuQwqbdNO3TokPLy8uzLOJJ/Pxs2bFiBR7ylc0/lPP3009qxY4eGDh160R5Ztg1Xlf+R77///lu7du0qVSdftsf7T58+rcmTJxea//rrr5fY43ZZSExM1Ntvv11oum3EAelcB09FDdslnXt8+/xzR3Z2tp544glJ556iGj58eIH5+Y9rr732mv7+++8C88+ePavHHntMeXl5atq0qZ5++ukLXzkHbOtx5MgR+7S4uDj9+uuvBX6AKc2xyM/PT6+88ook6bvvvtOSJUsKLGu1WjVs2LALfnXrfGW5P5e38PBwfffdd4qJidHKlSvVp0+fYh+n//nnnwucyy5WJ3Kvv/66pHND47311luF5j/33HP2a6vKyF3PXWUtODhYX3/9terWravPPvtMgwYNKnKoyz/++EPdu3dXYmKiBg8ebP8BwBX5j6P5zykrV67UkSNH7CNGnH/def6rVseOHbO/nvvwww+rU6dOLsd0Id54440yefIKlR+d+1Uyffv2tV9YFMV2AMl/18Z2F+J8tsf/Kuu7a66oUaOGvL29lZWVpV69eqlz587q3r27atSoIWOMjhw5opUrV2rjxo3y9PTU+PHjHd4R8fDw0OLFi9WnTx+tXbtWzZs316BBg1SzZk0dOnRI8+bN05EjR/TCCy/o5ptvti/3999/6++//9bGjRvt02yddfXt21eBgYFatWqV4uPj7XeU9u/fr48//lhBQUHq06ePfblx48YpJSVFb7zxhm688UYNGDBAHTp0UEZGhn7++WctWbJEDRs21OLFiwv9cBEQEGAfdm3jxo1q1aqVHn74YUVEROjPP//UnDlz9Nprr9nXfePGjfLy8lLt2rXVsWNHez1169bV0KFDNX36dA0aNEh//PGHrrjiCh04cEDz5s3TnDlz7J3d2OqoV6+e2rdvr40bN2rfvn0OP4v27dvbLz6qVq2qH374Qb169dK3336rq666Sg888ICqVaumffv2ad68eYqLi9PLL7+sO+6444K2h+JiyP+dSOd+LFu5cqV69uyplStXqmXLlnrwwQcVGRmpbdu2aebMmUpPT9fw4cPtyYtNcd/7+d/rhViyZInS0tIK1Ltq1Sr7xX6PHj1UtWrVEut5//33lZmZqYULF6pFixZ65JFH1LBhQx09elSzZs3S4cOHdcMNN+jLL78s9mI7NjZWLVq00NatW+Xv7++wo6PevXvLw8NDVqtVLVq0KPAazfmK2s+aNGmiuLg4LVmyRH/88Yduu+22Qh0E2vYj22s98fHx9s+8fv36Lt+dkc71i/L2229rw4YNGjVqlGrVqqXp06fLw8PD/jSN7bs5fz+WpKuuusrheMX//ve/9c0332jVqlUaO3asfvnlF3Xv3l0Wi0U//PCDVq1apTp16ujgwYP29bFtP/Hx8Vq1apV9ODfbZ3D06FH7/mTbDm0JdXp6eqHjj+24/9RTT+nbb79Vly5dFBUVpYSEBC1evFibN29WtWrVShxeccaMGbrppps0YMAAtWrVSqdPn9bcuXO1fft2RURE6Ouvv3b4iPm4ceOUnJysN998U+3bt9fgwYN11VVX6eTJk/roo4+0fft2XXnllVq+fHmBH7DT09MLvStuO+ZIxe8L/fr109ixY3XkyBE9+uijatWqlT766CNZrVY9/PDD9nKlPRYNGTJE27Zt0/Tp03XnnXdq4MCBuu6665ScnKxPP/1U6enpGjp0qN5+++0C382tt956QZ10ubo/l9U2dCGaNWumX3/9VUOHDtWyZcvUsGFD9erVS23atFFkZKTS0tK0e/durV692v6kSM2aNTVy5MgCI30UF3tRsTl7Drr55ps1ZcoUPfvssxo+fLjWr1+v7t276+zZs/rqq6+0Y8cOPffcc5o4cWKBOrp06VLi0GvSuWPDhg0biozdFoutnO1zkM4dZ2zvWRf1I055nbtsn+n5HY7a9jvbca6oY/GFnPts6y79v5EW8h/THe3ftnbzf1622Ipqu0GDBvr111/16KOPau7cufr666/Vt29fXXnllQoODlZ8fLzWrFmjH3/8UYGBgfrvf/+rp556yql1KMrVV1+t5s2ba9u2bXrkkUd0991365dfftH27ds1ZMgQ+zHs/PPhVVddpcGDBysmJkZ79uzRzJkzdfLkSd19991Fvq5VHNvnZdsO//77b6f2bX9/fy1YsEDt2rVzqv8sR23lb68010QoZwYXhSQjyRw4cMDh/CFDhhhJpk+fPhdUb3R0tJFkXnjhBYfz33zzTSPJREdHX2jIldrp06fNJ598YoYMGWLatWtnqlatanx9fY23t7eJiIgw1157rXnmmWfMjh07SqzLarWajz/+2Nx4440mKirKeHl5mejoaHP77bebH3/8sVD58ePH27/P8//Zvt/OnTs7nF+7dm2HMaxfv97ce++9JiYmxvj4+Jjg4GDTtm1bM3nyZJOenl5s/PHx8eaJJ54wtWrVMj4+PiY6Otr07t3brF692hhjCsXQr1+/QnXk5eWZ1157zTRt2tT4+vqayMhI07dvX7N161aHddx3333GGGMGDhxY5GcxZ86cQu2kpqaaSZMmmTZt2piQkBDj7e1tYmJizL333ms2btxY7HoWpbgYitrnsrOzzbRp00zHjh1NlSpVjI+Pj6lZs6a55557zC+//OKwneK+96K+V2fUrl272PjXrFlzQfV9/fXX5vbbbzdVq1Y13t7eJjIy0vTo0cPMnz/fWK1Wp+r4z3/+YySZW2+9tcgy1113nZFk/vOf/zhVp6P9LDIy0tx4441mwYIFDpcpaj+SZAYOHOhUu8VZtGiRad26tfHz8zNhYWGmffv2ZuXKlfb5xX0348ePL7LenJwc89///tdcc801JiAgwPj4+JjatWubBx980Pz999+Ftlnb9rNmzZoS9ydnjj+2uoYNG2ZatWplwsLCjKenpwkODjatW7c248ePN6dOnXIY+5w5c+z1GWPM1q1bzd13321q1KhhfHx8TGxsrHnsscfM8ePHS/x8f/nlF3PvvfeamjVrGh8fH1OlShVz/fXXm2nTppns7OxC5Q8cOFCqfWHNmjXm+uuvNwEBASYoKMi0atWqyG2rtMeiL774wnTq1MkEBwebgIAAc8UVV5ixY8ea1NRUh9/Rtm3bSqzTkQvdn8tyG3LFb7/9ZkaOHGlatmxp389DQkJMrVq1TI8ePcyoUaPM2rVrTV5e3gXFXlRsF3oOWr16tbn55ptNlSpVjJ+fn6lfv74ZNmyYiY+PL7Dt2/59/fXXTq23o2UdxVJSuZKU9bnL9pmWdJy70GsaVz4jR/t3cecAZ9resGGDGTZsmGnevLn986pRo4bp0qWLmTJliklMTHQ6/pIcPHjQ9OvXz4SHhxtfX1/TqFEjM2HCBJOVlVWorNVqNfPnzzc33nijiYyMNN7e3qZq1arm9ttvd3qbc6S4z8uZfXvq1Kklnt+caas010QoXxZjSvlMGpxi+0X+wIEDDnsMXbx4sfr166eaNWvqyJEjDu/IPfDAA8rLyyvw3uSQIUP04Ycfql+/fg7H4HzkkUc0c+ZM9enTp1L3ugsAqHhz58613yHn8gAAAPfBO/6VxO23364rr7xSx44dc9hp3bp16/Txxx+rffv2BaY//fTT8vHx0dKlSwsNT5SYmKgFCxbIYrFoxIgR5Ro/AAAAAKByIvEvR4mJiYqLi1NcXFyx06RzvbB++eWXio2N1eDBg/XGG29o9+7d2rlzp95991316dNHffr0sffsatOwYUPNnDlTVqtVN998s1asWKHDhw9r9erVuvHGG5WZmanXXnutwDvdAAAAAIDLB4/6l6M6deoUO66to4/+1KlTeu2117RkyRIdPHhQwcHBatiwoQYPHqwHH3xQ3t7eDuvavHmzJk+erHXr1unUqVMKDw/X9ddfr+HDhxcYwxYAgKLwqD8AAO6JxB8AgMucrXf0devW6cMPP5Qk+7B/+XtHBwAAlyYSfwAALnMPPfSQ5s2b53DenDlz7OPKAwCASxOJPwAAAAAAbsyrogNwF1arVcePH1dwcLDDofgAAAAAAChLxhilpqaqRo0a8vAouu9+Ev8ycvz4ccXGxlZ0GAAAAACAy8yRI0cUExNT5HwS/zISHBws6dwHHhISUsHRFM1qtSoxMVFRUVHF/iIEuCv2AVzu2AdwuWMfwOWOfcC9pKSkKDY21p6PFoXEv4zYHu8PCQmp9Il/VlaWQkJC2NFxWWIfwOWOfQCXO/YBXO7YB9xTSa+b800DAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBsj8QcAAAAAwI2R+AMAAAAA4MZI/AEAAAAAcGOXVOK/YcMGNW7cWBaLRQcPHqzocAAAAAAAqPQuicQ/MzNTI0eOVKdOnbR79+4yqXPXrl26//77Vb16dfn5+al+/fp65plnlJycXCb1AwAAAABQGVT6xH/fvn1q0aKFvvzySy1fvrxM6ly7dq1atmypzZs3a+7cudqxY4eef/55vf/++2rVqpVOnDhRJu0AAAAAAFDRvCo6gJL8888/6tatm6ZMmaKgoKBS13fmzBn1799fxhh99913qlevniSpbt268vX11X333acHH3xQq1atKnVbAAAAAABUtEp/x79379569913yyTpl6R33nlHJ0+e1O23325P+m3uuece1ahRQz/88IPWr19fJu0BAAAAAFCRKn3i7+npWab1ffHFF5Kkbt26FZrn4eGhrl27SpIWLlxYpu0CAAAAAFARKv2j/mUpPT1d//zzjySpSZMmDsvYpm/atOmixXUxrdwer8nfbVf1KgdVPdRfp9Kzdfh0hvq1itH2EymqFxmo5Mwc/XXkjOpEBio62FdHTmeqVkSAwgK89dv+06oS4K2N+0+pV/Pq2h2fqvpRQWpcLVg9mlbVy9/uUFxylmqFB6h6mL92x6XqbJ5Vh06lq25kkLJz8xQR6KMuTaL1484E7U1I0z/HU3Rzs2oK9vNSXEqWrMbI29NDCSnZCg/0Uc0wf8WlZCk1K0fVQv20Ky5VFotF19SuooggH32x+aiuiglTVLCPTqadVctaYVq/96Q6NYxS1RA/ff3XcUWH+OqRjvU065cD+uNQkq5vEKkTyVny8/bUqfRsxVTx16FTGQry9VJUsK+yc6xKP5urZjVCtTMuRcmZOdoVd25djydn6uqYMB1LytS19cIVHuijJVuPq25EgHbGpcpqjK6OCVPdqEBtOnBaPl4e2n4iRZ4Wiw6eytC1dcPl5+2pyCBf3dA4Sr8fOK3wQB9tPnRaB09mqEODCIUH+mrbsTOKCQtQfGqWWsSGad2ek/rjUJKa1QjRwPZ1FOLnpQ37TslqjPYlpCstO1dXx4Yq1N9bwX7eqh7qpx0nUrU3IU2ZObnaE5+m5jVDFRbgI29Pi+pGBup0+lklZZxVtRA/HTqdoewcq7w8Ldodn6oaYf66+5pYHTuTqT8OJalmmL8OnExXjTB/HU3K0APX1dbXf51QSmaO2tQNV3p27rnPM+2sthxOUseGkdpyOEnr955Sv1YxOpWercTUbMWnZOuOVjXVqlaYjp3J0s4TKfp5T6IaVQ1Wdo5V9aIC9b/jyUrOzJEkDbyujn7df1oRgT6qHuanvQlpOnYmU7XCA7TzRKqurReuupGB2nYsWbl5RkF+XooI9NHOuFTlWY3qRATKy9MiY4z+OJSk1Kxcnc3JVUTwPlUP89e3f59Q1RBfXVs3QnEpWaoS4K2Ms3m6rn6E/jmWoqNJGWpVu4oOnExXeKCPDpxM15HTmTqZli1Jujo2TNfVi5C3p0WbDyYpPNBHDasGKT4lW37eHjJGWrL1mBpVDZavl4daxoZJks5k5uj4mUylZ+fpdPpZ3dUmVsfPZCouJUt+Xp6qHuqn0xln5eVhkY+nh/YlpqlToygdOJmufYlpalw1RNtPJKtORKAyzubJaowsFos27jul7Nw8dW0SrUBfL6Vl5SrIz0upWbnaHZeqwR3rau2uBAX7emv9vpPqfVV1HT+TpbSsHDWtEaI/D59Rdq5VjasFq1Z4gP45nqKM7FwF+HrJaozOZJzV+r2n1KlRlJIzc3RDoyhFBPlow95TSsnK0ZGkDIUH+Kh9g0ilZuUoPTtPVUPOfW/GGCVlnFVSRo5uu7qGFvx+WEnpZ/VE1wb6/p94DelUT75eHjqSlKGN+04pJStXOXlWNa8ZqpgqAfpxZ7zyrEZp2bm6vkGU9iWm6WRatny8PBTm760bm1VTalaO/jiUpKNJmboqJkz+3p7ysEgtaoXpryNnlJVj1dGkDO04kSqLRYoI8lFKZq6ujg1TTq5VPZtX028HTuuPg0lKzcpRi1physkzqhcVqF1xqWpcNVirdyYoxM9Ld7aO1esrd+nmK6vp+gaRikvJ0hebj6pmFX8dPJmuaqF+alcvQodOpduPWwE+ngoP9FGnRlH65u8TSsvKUc0qAbqierC+2nJMh05nqFPDKJ3JOKujSZlKP5ur1Kxcta0TrqzcPAX7ealeZJAyzuZpT0Kq4pKz9FKfK/W/Y8ny8fLQnoQ0HT+TqbqRgfrz8Bk1rhasupGBSs3K1a/7T6lKgI/qRARo+7Ektah9Uh4eFm09ckbRwb7ak5CmRtHBikvJUsPoIIUFeGvl9niF+HnrwMlzx5hbr66hO1rV1Km0s/pxZ7wCfLy07Wiy/Lw95Ot9brs9cSZL6Wdz1aZOuPYlpmndnpPq3by6vD0t6n9NrOasP6gAH08lZZyV1RilZuUqItBHp9LPKirIV42qBevw6QzViwzUz3tOKqaKv0L8vLTyn3idSj93vIpLydINjaN0ZY1QRQX7amdcqjo0iNBnvx9RncgA1Y0MUlxypo6czlTDqkHauO+UrooJU57VqgOnMuTndW6fuq5+hI4lZeqvo8nq0jha4YHe+utosqxWo5a1wrQnIU0eFosaRgepRpi/0rJzdehUunLyjHy9PHQ0KVNje12hOesP6K+jZ3TrVTW0bs9JRQT5KC4lS23rhOvPw2d0+HSG2jeI0CMd6+mrP48p82yeUrNydDLtrG5vUUMHTqYrpkqA/j56Rpk5efK0WHTgVLqC/bzl5+WhVrWrKCn9rPafTNf6vSd1Xb0IxYYH6NiZTPl4eejEmUwF+nppx4lUtYgNVXxKtprVCNGxM5k6m2tVw6pBikvOksViUXauVVfHhOr4mSx5eVi06eC589Th0xkK9vNSiJ+3akcEyMvDQwE+nvL0sCgq2Fe7/v/zeXSwn1rVDpOnxaKN+09pzc4EdW4crdPp2TqRnCUfTw9VDfHT9hMpurZuuFrVqqJf959S42rBOp1+VrvjUxUR6KvG1YIVGeyrk6nZys616oOf92ngdXXk6+2hU2lndXVsmG67uobW7z2pb7ed0MPt62jrkTPam5Amb08PnU4/q7iULAX4eCrYz0vHkjKVk2dkJAX7eunYmUw1rxmqYD8v7T+ZrpTMHDWIDlLtiEAt+fOo6oX7Ki13r4yRgv285O3poRphfoqpEqBv/j6ha2pXUWJqthpVC9bHvx7SIx3rKTH13DWTr7eH6kcGqlZEoLYfT9HmQ6eVZzXy8/ZUzyur6WhSpjo0iFRWTp427DulH3ee24/qRAbqwMl0+Xl76PoGUTqRnKnE1GyF+HmrVe0wncnIUai/t37Ze1LX1A7XlsNJ8vSwKCLQR6fTzyrU31u+3h7y9fLU/pPp8vG0KKZKgEL8vc9tr/GpCvP30Z6EVM365YCa1wxVZk6eWsSG6eCpDJ3NtSqmir+8PCzy9/HS0aQM+Xp5qHZEoFZuj5O3p4fOZOSoXb1w7UtIV40wP/l6eZ7bHjwtWrjpqM5knNVNV1aTjJSTZ1VEkI/2xKcpOsRXJ9POKs9qlJp17rOuHxWk1KxcRQX7KiElS1uPJmv78WRdUT1Ex8+cO9/WjgiUZFQvKkg/bI9Xxtk8hQV4y8NiUUSQjwJ9vJRrtSo71ypvTw+1iA2Tj5eHElOz9c/xZDWpFqIAH0+d+f+vGRpGB2nrkTPy9LCodnig7r02VtHBfsrNs2rGugN6e/Ue9b6qun7cmaCuTaJ1/EymdsenaUineqoe5qdNB07rbJ5VqVm5CvL10uHTGbJYJE8PD/l5eWhnXKra14/QsTOZOnI6Q/4+XurdvJr2JabraFKG6kUGyc/bQwmp2erRtKqqhvhp65EzOngyXafSzyorJ09+3p4K+f+vec9k5CjE31s1Qv10Kv2sfL3O7T+rdyTY98vr6kXohsZRen3VbtUKD1CAj6eaVAtWTJUAnUrL1vYTKdp0MEkDrq2l42cy5WmxyGKxaPvxZPl6e8pikeKTsxQd4qc2daqobmSQkjKylZSSpoSMw/rneIqqBHircbVgpWfnKtjPWx0bRio5M0ertsfL08OiGmH+CvDx1Krt8ep+RVX9uPNcfKfSstWxUZT8vT0V5OulzYdOq1HVYAX7eqlpjRCt2ZmozJw8NasRot3xaWpaPVip2blKyczVgZNpysyxKifPqrSsXPsx80RKplrEVlFGdq5qRQQoLjlLnh4WxadkaU9Cmro2jlaeMcrNM6oa4qc9Cany8/ZUVk6eGkQHKS0rV3UiA/XXkTOyWCRjpPb1I7Rye7xiqvjr8OkMRQf7KaaKv3KtRtVD/ZSVY9XaXQnq1Ohc7nA0KUNnMnJUOyJA97erLW/PSn+v3CkWY4yp6CAuhMVikSQdOHBAderUuaBl//e//6l58+aSpN27d6thw4aFysyePVuDBw9WVFSUEhISiqwrOztb2dnZ9r9TUlIUGxurpKQkhYSEXFBcF1O9sWXTQSIAAABQ2e1/pace+3iLVm6Pr+hQcAm65arqevueFhUdRrFSUlJUpUoVJScnF5uHXlZ3/FNSUuz/9/f3d1gmICBAkkoc1m/SpEmaOHFioemJiYnKysoqRZQAAAAAykJCQgJJP1z2zd8n9HzXGhUdRrFSU1OdKndZJf5lacyYMRoxYoT9b9sd/6ioqEp9xx8AAAC4XERHR1d0CLjEVfZtyM/Pz6lyl1Xinz8hz8zMdFgmIyNDkhQaGlpsXb6+vvL19S003cPDQx4e7vEeCAAAAHAp47ocpVXZtyFn46vca1HG6tata+8jIC4uzmGZEydOSJLq169/0eICAAAAAKC8XFaJf2BgoJo1ayZJ2rlzp8Mytult2rS5aHEBAAAAAFBeLqvEX5L69+8vSVq9enWheVarVT/++GOBcgAAAAAAXMrcMvFfsWKFGjRooCeeeKLQvGHDhikiIkJLly7VgQMHCsz77LPPdPz4cXXt2lUdO3a8WOECAAAAAFBuLonEPzExUXFxcQXey3c0zWbatGnat2+fpk+frlOnThWYV6VKFX3++eeSpJ49e2rlypU6cOCA5syZoyFDhqhOnTqaP39++a4QAAAAAAAXySXRq3+bNm106NChAtPatm1r/78xpsC8+++/X+vWrdNNN92kiIiIQvV17dpVf/75p1544QU9+OCDSkpKUs2aNfXoo4/qP//5j8LCwsplPQAAAAAAuNguicT/4MGDF1T+nnvu0T333FNsmSZNmmjBggWliAoAAAAAgMrvknjUHwAAAAAAuIbEHwAAAAAAN0biDwAAAACAGyPxBwAAAADAjZH4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBsj8QcAAAAAwI2R+AMAAAAA4MZI/AEAAAAAcGMk/gAAAAAAuDESfwAAAAAA3BiJPwAAAAAAbozEHwAAAAAAN0biDwAAAACAGyPxBwAAAADAjZH4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBsj8QcAAAAAwI2R+AMAAAAA4MZI/AEAAAAAcGMk/gAAAAAAuDESfwAAAAAA3BiJPwAAAAAAbozEHwAAAAAAN0biDwAAAACAGyPxBwAAAADAjZH4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBu7ZBL/FStWqEePHgoPD1dgYKBatWqladOmyWq1XnBdWVlZmjlzpjp27KiYmBj5+PgoOjpaPXv21LJly8ohegAAAAAAKsYlkfhPnjxZPXv2lJ+fn1atWqU///xTPXr00LBhw9SnTx/l5uY6XVdGRoY6dOigRx55RMHBwfr000+1a9cuffzxx0pKStLtt9+uZ555phzXBgAAAACAi8erogMoybp16zR69Gg1bdpUixcvlre3t6RzPwYkJSVpxowZmjx5sp577jmn6vvggw+0ZcsW1a1bV0uWLJGPj48kqW7durrmmmtUp04dTZ06Vffee69atWpVbusFAAAAAMDFUOnv+E+YMEGSNGzYMHvSbzNy5EhJ0pQpU5SZmelUfXv27JEktW7d2p7024SHh6tRo0aSpDVr1pQmbAAAAAAAKoVKnfgnJiZq7dq1kqRu3boVmt+4cWPFxMQoJSVFy5cvd6rOq6++WpK0Y8cOGWMKzMvKytKBAwckSf7+/qWIHAAAAACAyqFSJ/6bN2+W1WqVt7e36tev77BMkyZNJEmbNm1yqs7Bgwfr9ttv1z///KOhQ4fqxIkTMsbowIEDGjBggE6fPi0fHx/16NGjzNYDAAAAAICKUqnf8d+3b58kKSoqSh4ejn+jqF69eoGyJfHy8tKSJUu0YsUKPfvss6pRo4a8vLzsHQQGBgbqvffeU8OGDYutJzs7W9nZ2fa/U1JSJElWq9WlkQYAAAAAlC2uy1FalX0bcja+Sp3425Lp4h67DwgIkCQlJyc7Xe/06dP19NNPq3Xr1vruu+9Uu3Zt7d+/X99//70eeOABtW3btsQ6Jk2apIkTJxaanpiYqKysLKdjAQAAAFA+EhISKjoEXOIq+zaUmprqVLlKnfiXh+nTp+uJJ55Q3bp1tXr1avn6+kqSmjZtqi5duqhx48a688479dprrxXqTDC/MWPGaMSIEfa/U1JSFBsbq6ioKIWEhJT7egAAAAAoXnR0dEWHgEtcZd+G/Pz8nCpXqRN/WwJdXI/9GRkZkqTQ0FCn6nz11VclnRslwJb02wQGBurf//63nn/+eXl5eWnq1KlF1uPr61toeUny8PAo8rUEAAAAABcP1+Uorcq+DTkbX6VeC1uHfomJiUW+u3DixIkCZYuTkJCgo0ePSpKuuOIKh2Vs0z/88EPl5eVdcMwAAAAAAFQmlTrxb926tTw8PJSTk1Nk5307d+6UJLVp0+aC6rZYLA6n234xSU1NtfcxAAAAAADApapSJ/7R0dHq3LmzJGn16tWF5u/atUtHjx5VcHCwbr755hLri4yMVJUqVezLOmKb7u/v7/TrAwAAAAAAVFaVOvGXpPHjx0uSpk2bZh9yz+b111+XJD3zzDP23v0lacuWLWratKn69+9fYBkPDw/df//9ks518nd+fdnZ2XrvvfckSX369Kn073MAAAAAAFCSSp/Zdu7cWS+//LL++ecf9e3bV1u2bNHu3bs1evRozZgxQ7169dKYMWMKLDN79mzt2LFDixYt0l9//VVg3ksvvaQ2bdpo9+7duuWWW/TLL7/oyJEj+umnn3TTTTfp0KFDatSokd54442LuZoAAAAAAJSLSp/4S9LYsWP13XffKTMzU127dlXLli31/fff66233tKyZcvk5VVwcIL+/fsrMjJSnTp1UrNmzQrMCwkJ0S+//KK33npLaWlpuvXWW1W3bl3dfvvtys7O1quvvqotW7aoWrVqF3MVAQAAAJSxhZsOV3QIQKVgMcaYig7CHaSkpCg0NFTJycn2YQgrozqjv63oEAAAAADgknDw1d4VHUKxnM1DL4k7/gAAAAAAwDUk/gAAAAAAuDGvkotcGGOMZs+erT///FO1a9fWo48+yrB4AAAAAABUEJfv+G/atEmenp7y9PTUu+++a59+zz336NFHH9W7776rUaNGqW3btkpJSSmTYAEAAAAAwIVxOfH//PPPFR4ervnz52vAgAGSpB9//FFffPGFAgMD9eKLL+o///mPjh07punTp5dZwAAAAAAAwHkuP+r//fffa/LkyfakX5Jmzpwpi8WiN998U4MHD5YkRUVFafbs2RozZkzpowUAAAAAABfE5Tv+e/fuVadOnex/5+bmavny5QoODtYDDzxgn969e3cdOnSodFECAAAAAACXuJz4+/r6yhhj/3vVqlVKTk7WbbfdJh8fnwLlMjIyShclAAAAAABwicuJf926dfXzzz/b/37nnXdksVh0zz33FCi3Y8cOVatWzfUIAQAAAACAy1x+x/++++7TU089pb/++kuHDx/WihUrVKtWLfXs2dNe5syZM3rppZfUrl27MgkWAAAAAABcGJfv+A8dOlQtW7bUtGnTtGzZMvn7+9s795OkiRMnqlatWvrtt9/Uv3//MgsYAAAAAAA4z+U7/v7+/vr555/1888/KzExUdddd51q1qxpn9+9e3fVqVNHktSrV69SBwoAAAAAAC6cy4m/JFksFnXu3NnhvA4dOqhDhw6lqR4AAAAAAJSSy4/6O+vkyZOqV69eeTcDAAAAAAAcKPfEPy8vT4cOHSrvZgAAAAAAgANOJ/6PP/64QkJCNHny5HMLenjI09OzxH81atQot+ABAAAAAEDxnE78Fy9erLS0NC1fvtw+zRjj1D8AAAAAAFAxnO7cb9WqVVqxYoXuuusuSec69jtx4oSio6OLXS4uLq5Ab/8AAAAAAODicTrxv/LKK3XllVfa/65Vq5Y8PT1LbsDLS7Vq1XItOgAAAAAAUCouD+d34MABp8pFRkY6XRYAAAAAAJStcunVPyUlRZs3b1Z8fHx5VA8AAAAAAJzkcuIfHx+vQYMGadCgQVqzZo19+meffaaYmBhde+21qlmzpp555pkyCRQAAAAAAFw4lxP/RYsWae7cuTp27Jj8/f0lSUeOHNHgwYOVlpam+vXrq1atWnrjjTf0zTfflFnAAAAAAADAeS4n/l999ZWGDBmi77//Xu3atZMkffjhh8rMzNSDDz6o3bt3a//+/br77rs1bdq0MgsYAAAAAAA4z+XEf+vWrXr00UcLTPviiy/k4eGhF1980T7tqaee0vbt212PEAAAAAAAuMzlxD89PV2RkZH2v3ft2qXdu3erffv2io2NtU+vUaMGnfwBAAAAAFBBXE78Y2JitHfvXvvfc+fOlcVi0V133VWgXHx8vEJCQlyPEAAAAAAAuMzlxP/666/XmDFj9Oeff2rJkiV655135OPjo3vvvbdAuQULFqhZs2alDhQAAAAAAFw4L1cXHDNmjFq1aqVrrrlGkmSM0TPPPKOIiAhJ0o8//qg5c+ZowYIFeu2118omWgAAAAAAcEFcTvwbNWqk9evX680339TJkyfVrVs3Pfnkk/b5mzZt0tGjR9WpU6dCj/8DAAAAAICLw2KMMRUdhDtISUlRaGiokpOTK3WfBnVGf1vRIQAAAADAJeHgq70rOoRiOZuHuvyOv7OysrL00UcflXczAAAAAADAgXJP/JOTk/Xwww+XdzMAAAAAAMABl9/xt9myZYu+/fZbHTt2TGfPni00PzMzs7RNAAAAAAAAF5Uq8X/iiSf03nvvyRgji8Wi87sLsE2zWCylChIAAAAAALjG5cT/o48+0nvvvafBgwfr2muv1RNPPKEXXnhB0dHRkqRjx45p0aJF2rlzp6ZOnVpmAQMAAAAAAOe5nPjPmDFDI0eO1JQpUyRJ//d//6d+/fqpXr169jJjxozRnXfeqWPHjpU+UgAAAAAAcMFc7txv27Ztuueee4otY7FYNGrUKC1evNjVZgAAAAAAQCm4nPifPXtWUVFR9r99fHx08uTJQuVCQ0N16NAhV5sBAAAAAACl4HLiX6tWLR04cMD+d7Vq1fTDDz8UKvfNN9/I09PT1WYAAAAAAEApuPyOf4sWLfTSSy/pm2++kY+Pjzp16qSXX35Z3t7e6tGjhyTpu+++08svv6w2bdqUWcAAAAAAAMB5FnP+GHxOWrRoke666y41a9ZM27Zt0549e9SiRQtlZWUVKvvdd9/ppptuKnWwlVlKSopCQ0OVnJyskJCQig6nSHVGf1vRIQAAAADAJeHgq70rOoRiOZuHuvyo/2233aaNGzdq/vz5kqSGDRtq+fLluuKKK2SMkTFGtWvX1qeffur2ST8AAAAAAJWVy4/6+/j46Nprry0wrVOnTvrf//6n06dPy2q1KjIystQBAgAAAAAA17mc+BcnPDy8PKoFAAAAAAAXqEwS/y1btuinn37S0aNHJUkxMTHq3LmzWrVqVRbVAwAAAAAAF5Uq8d+3b58efvhhrV+/3uH8Dh06aM6cOapfv35pmgEAAAAAAC5yOfE/cuSIrr/+esXHx8vT01P16tVTVFSUjDFKTEzUgQMH9Msvv6hjx4767bffFBsbW5ZxAwAAAAAAJ7jcq//zzz+v06dP6+WXX1ZCQoJ27dqlX375RevXr9fu3buVkJCgl156SadOndJ//vOfsowZAAAAAAA4yeU7/itWrNArr7yikSNHOpxfpUoVjR07Vj4+PnrttddcDhAAAAAAALjO5Tv+qampuuOOO0os169fP6WkpLjaDAAAAAAAKAWXE/+6desqIyOjxHKZmZmqWbOmq80AAAAAAIBScDnxHzRokD788MMSy33wwQe68847XW0GAAAAAACUgsuJ/8iRI5Wenq7+/fvrp59+UkJCgn1efHy81q5dq7vuukvbtm3T+PHjyyRYAAAAAABwYZzq3M/T07PY+YsXLy52fnBwsHJzc52PCgAAAAAAlAmnEn9jTHnHAQAAAAAAyoFTj/pbLBbFxcXJarVe8L/jx4+X9zoAAAAAAIAiOJX4h4SEyMPDte4APD09FRIS4tKyAAAAAACgdJx61D8pKcnlBqKiokq1PAAAAAAAcJ3LvfoDAAAAAIDKj8QfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxlxP/jz76SNnZ2UXOT0hIULVq1TRgwAAlJia62gwAAAAAACgFlxP/hx9+WMnJyUXODwwM1N13362ff/5Z//d//+dqM3YrVqxQjx49FB4ersDAQLVq1UrTpk2T1Wp1uc5vvvlGffr0UfXq1eXr66tq1aqpffv2GjVqlE6cOFHqmAEAAAAAqGguJ/7GmGLnBwYG6q233tKXX36p1atXu9qMJGny5Mnq2bOn/Pz8tGrVKv3555/q0aOHhg0bpj59+ig3N/eC6svLy9PAgQN1//33q3379lq1apV27dql2bNnKy0tTVOmTNE///xTqpgBAAAAAKgMvEqzsMViKbGMt7e3zpw543Ib69at0+jRo9W0aVMtXrxY3t7eks79GJCUlKQZM2Zo8uTJeu6555yuc/To0frkk0+0YcMGtW3b1j69Tp06aty4sa6//nr5+vq6HDMAAAAAAJWF04n/0qVLtXTp0gLTnnzySfn7+xe5THp6un755Rc1atTI5QAnTJggSRo2bJg96bcZOXKkZsyYoSlTpmjEiBHFxmKza9cuvfnmm7rrrrsKJP029evX5zF/AAAAAIDbcDrx37p1q+bOnVtg2sKFC0tczsfHR9OnT7/gwCQpMTFRa9eulSR169at0PzGjRsrJiZGR48e1fLly3XHHXeUWOesWbOUl5ennj17uhQTAAAAAACXEqcT/z59+qhOnTqSzr3fP3jwYL355psKDQ11WN7Dw0NhYWFq166doqKiXApu8+bNslqt8vb2Vv369R2WadKkiY4ePapNmzY5lfivWrVKktSgQQN98sknmjFjhnbs2CEPDw81a9ZMDz30kO677z6nXmMAAAAAAKCyczrxv/rqq3X11Vfb/x40aJDuueceRUdHl0tgkrRv3z5JUlRUlDw8HPdDWL169QJli5OXl2fvtG/06NHav3+/Jk2apFatWuno0aOaOHGiHnjgAS1fvlwff/xxscl/dnZ2geEMU1JSJElWq7VUIw0AAAAAACqHyp7bORufy537HThwwOU7+c6yJdPFvbsfEBAgScUOLWiTnJysnJwcSdLPP/+sLVu2qGXLlpKkpk2b6vrrr9eVV16pBQsWqHPnznr00UeLrGvSpEmaOHFioemJiYnKysoqMRYAAAAAQOWWkJBQ0SEUKzU11alyLif+tWvXdqpcUlKS+vXrpx9//NHVpspMRkaG/f8dO3a0J/02AQEBeuSRRzR27Fi98847xSb+Y8aM0YgRI+x/p6SkKDY2VlFRUQoJCSn74AEAAAAAF1V5PuFeFvz8/JwqV6rh/Jxx9uxZ/fTTTy4ta0ugMzMziyxjS+aL6msgv/xPDjRt2tRhmdatW0uS/vnnH2VkZNifKDifr6+vwyH/PDw8inwtAQAAAABw6ajsuZ2z8Tmd+E+ePFmffPKJnn76aT344IOqV6+eU8vl5eU520Qhtg79EhMTZbVaHa6Ubei9ojr/yy8sLEx+fn7KyspSeHi4wzLBwcGSznVgeObMmSITfwAAAAAALgVOJ/5TpkxRUlKS3n//fT344IM6ePCg04242kN+69at5eHhoZycHO3bt08NGzYsVGbnzp2SpDZt2pRYn6enp6666ir9/vvvio+Pd1jGNt1isSgsLMyluAEAAAAAqCycTvwXLlyoJUuWaPDgwfZpmzZtUmRkZLHLJSQkqF27di4FFx0drc6dO2vNmjVavXp1ocR/165dOnr0qIKDg3XzzTc7VWefPn30+++/66+//nI439br/9VXX83dfgAAAADAJc/pFxa6d++uadOmFegQLzY2VrVr1y72X61atWSMcTnA8ePHS5KmTZum3NzcAvNef/11SdIzzzxTIEnfsmWLmjZtqv79+xdaZsiQIYqIiNAff/yhjRs3FpiXnZ2t999/X5I0cuRIl2MGAAAAAKCycLmnAqvV6lQPh1WrVi3V2IedO3fWyy+/rH/++Ud9+/bVli1btHv3bo0ePVozZsxQr169NGbMmALLzJ49Wzt27NCiRYsK3dkPDw/XwoUL5efnpzvvvFNffPGFDh8+rA0bNqh37946evSonnzySd1///0uxwwAAAAAQGVR7l0UpqSkaNCgQaWqY+zYsfruu++UmZmprl27qmXLlvr+++/11ltvadmyZfLyKvjGQv/+/RUZGalOnTqpWbNmherr1q2b/vrrL/Xo0UPDhw9XgwYNdOutt8rb21vLli3TW2+9Vap4AQAAAACoLCymNM/hOyE+Pl41atQoVe/+l4KUlBSFhoYqOTnZPgxhZVRn9LcVHQIAAAAAXBIOvtq7okMolrN5qNOd+zmyZcsWvf/++9q6dauSkpIcJvfunvADAAAAAFCZuZz4L1++XLfffnuhzvMccXU4PwAAAAAAUDouJ/7jxo1TSEiIxo8fr2uvvVbh4eHy9vYuVK40w/kBAAAAAIDScTnx/+eff/Txxx/rjjvuKLZcYGCgatWq5WozAAAAAACgFFzu1T8wMFCtW7cusVxkZKQOHDjgajMAAAAAAKAUXE78b7zxRm3fvr3EcllZWfroo49cbQYAAAAAAJSCy4n/lClTNGnSJP3222/FlktOTtbDDz/sajMAAAAAAKAUXH7H/z//+Y9CQ0PVvn17NW7cWA0aNFBEREShHvwzMzNLHSQAAAAAAHCNy4n/3LlzZbFYZIzRzp07tXPnziLLMpwfAAAAAAAVw+XEX5LefPNNhYaGFlvmzJkzGjFiRGmaAQAAAAAALipV4n/PPfcoOjq62DLx8fEaPnx4aZoBAAAAAAAucrlzv3Xr1ikiIqLEclFRUQznBwAAAABABXH5jn+HDh2cLpuXl+dqMwAAAAAAoBRcvuPvrMTERDVs2LC8mwEAAAAAAA64fMf/559/dqrcqVOnXG0CAAAAAACUksuJ/w033MAwfQAAAAAAVHKl6tW/Xbt28vHxKTDNGKPExEQdOXJEaWlpuvbaa+Xn51eqIAEAAAAAgGtKlfh/9dVXRQ7nl5OTo88//1zz5s3TokWLStMMAAAAAABwkcud+40fP15BQUFFzvf29tZ9992nQYMGadSoUa42AwAAAAAASqFUiX9AQECJ5a677jotXbrU1WYAAAAAAEAplPtwfnv27FFSUlJ5NwMAAAAAABwo1Tv+RTHGKCkpSZs3b9aTTz6pBg0alEczAAAAAACgBC4n/p6enk6VM8Zozpw5rjYDAAAAAABKweXE3xhT5DwPDw+FhoaqRYsWGjp0qPr16+dqMwAAAAAAoBRK9ah/XFxckcP5AQAAAACAiudy536tW7eWt7d3WcYCAAAAAADKmMt3/Ddt2lSWcQAAAAAAgHJQ7sP5AQAAAACAikPiDwAAAACAGyPxBwAAAADAjZH4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcWLkn/idPnlS9evXKuxkAAAAAAOCAV1lUkp6erjNnzigvL6/QvISEBB06dKgsmgEAAAAAABeoVIn/22+/rWnTpmnfvn1lFQ8AAAAAAChDLif+U6dO1bPPPitJ8vf3V5UqVeTt7V2oXF5eno4dO+Z6hAAAAAAAwGUuJ/4ffPCBWrZsqblz56p58+ZFlouLi1ONGjVcbQYAAAAAAJSCy4n/kSNHtHr16mKTfkkKCAjQwIEDXW0GAAAAAACUgsu9+letWlUxMTEllgsJCdGcOXNcbQYAAAAAAJSCy4n/gAEDtGLFihLLpaSkaNCgQa42AwAAAAAASsHlxH/ChAn6/vvvNXnyZCUkJBRZLjMzU/PmzXO1GQAAAAAAUAouv+N/xRVXyBijpUuXauzYsQoMDFRERIQsFkuBcnl5eaUOEgAAAAAAuMblxP/gwYMF/k5LS1NaWprDsuf/GAAAAAAAAC4OlxN/i8Wi33//XZGRkcWWS0hIULt27VxtBgAAAAAAlILLib+Hh4dq1aqlqKioYssFBgaqVq1arjYDAAAAAABKweXEPycnx6lykZGROnDggKvNAAAAAACAUnC5V39nJSUlqWvXruXdDAAAAAAAcKDcE/+zZ8/qp59+Ku9mAAAAAACAA04/6j958mR98sknevrpp/Xggw+qXr16Ti3HcH4AAAAAAFQcpxP/KVOmKCkpSe+//74efPDBQsP5FYfh/AAAAAAAqBhOJ/4LFy7UkiVLNHjwYPu0TZs2MZwfAAAAAACVmNOJf/fu3dW9e/cC02JjYxUdHV3scn5+fjLGuBYdAAAAAAAoFZeH87NarU6Vq1q1qtNlAQAAAABA2Sr3Xv0BAAAAAEDFIfEHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG7M5cT/559/Vm5ubpHzT506pXbt2mns2LHKyMhwtRkAAAAAAFAKLif+Xbp00enTp4uc7+3trapVq+qdd97RM88842ozAAAAAACgFFxO/I0xxc4PCQnR0qVL9dVXX2np0qWuNgMAAAAAAEqh3N/xr1mzphITE8u7GQAAAAAA4ICXswV//vlnrV27tsC0qVOnKigoqMhl0tPTtWLFCtWuXdvlAC+GLVu2qG3btsrLy9OaNWt0ww03VHRIAAAAAACUCacT/zVr1mjixImyWCz2x/ynTp1aZPn85d5///1ShimtWLFCr7/+uv744w9lZ2ercePGGjRokIYOHSoPD9cfXMjNzdWgQYOUl5dX6hgBAAAAAKhsnE78898FN8boxRdf1IgRI4q84+/h4aGwsDB17txZV111VamCnDx5skaPHq1bbrlFq1atUnBwsGbNmqVhw4Zp5cqVWrx4sby8nF6VQnUfOHBAYWFhOnPmTKniBAAAAACgsrGYknrpK4KHh4fi4uIUHR1d1jEVsG7dOnXq1ElNmzbV1q1b5e3tbZ/36KOPasaMGXrppZf03HPPXXDdu3bt0tVXX63//ve/evXVV3Xo0CGXH/VPSUlRaGiokpOTFRIScsHLXyx1Rn9b0SEAAAAAwCXh4Ku9KzqEYjmbh7r8jPyaNWsUHh7u6uJOmzBhgiRp2LBhBZJ+SRo5cqQkacqUKcrMzLygeo0x+te//qW2bdtqyJAhZRIrAAAAAACVjcuJf+fOnZ16vD49PV0vvPCCS20kJibaOxTs1q1bofmNGzdWTEyMUlJStHz58guqe/r06dq8ebNmzpwpi8XiUnwAAAAAAFR25T6cX1pamiZOnOjSsps3b5bVapW3t7fq16/vsEyTJk0kSZs2bXK63sOHD2vMmDEaN26cGjVq5FJsAAAAAABcClzrEe//d/z4cc2dO1dbt25VUlKSw57xz54963L9+/btkyRFRUUV2XN/9erVC5R1xmOPPab69evrmWeecTm27OxsZWdn2/9OSUmRJFmtVlmtVpfrBQAAAABUDpU9t3M2PpcT/99//109evRQWlqaSuof0NVH6W3JtL+/f5FlAgICJEnJyclO1Tl//nytXLlSv/32m8sjAUjSpEmTHD7JkJiYqKysLJfrBQAAAABUDgkJCRUdQrFSU1OdKudy5jtq1Cjl5ubq//7v/3TttdcqPDy8UOd7knTq1Cn179/f1WbKVEJCgoYPH64RI0aodevWpaprzJgxGjFihP3vlJQUxcbGKioqqlL36g8AAAAAcE55j2JXWn5+fk6VK9Ud/3feeUeDBg0qtlx8fHyJTwQUxZZAF9djf0ZGhiQpNDS0xPqefPJJhYWFudznQH6+vr7y9fUtNN3Dw6PI1xIAAAAAAJeOyp7bORufy4m/j4+PunTpUmK5qlWruvxehK1Dv8TERFmtVocrdeLEiQJli7Nw4UJ5e3srKiqq0DzbDwg9e/aUp6enJOmDDz7Qfffd51LsAAAAAABUBi4n/h07dtSRI0dUt27dYsvl5ORo48aN6tSp0wW30bp1a3l4eCgnJ0f79u1Tw4YNC5XZuXOnJKlNmzYl1rdnz54i591www06duyYZs6cqWuvvVbSuR8tAAAAAAC4lLmc+L/66qsaOnSoPvnkE9WsWbPIcqdPn1aXLl0c9vhfkujoaHXu3Flr1qzR6tWrCyX+u3bt0tGjRxUcHKybb765xPoaNGhQ5DxbR381a9YsthwAAAAAAJcSlxP/RYsWqWbNmqpXr566deumBg0aKCIiolAP/mlpaaUKcPz48VqzZo2mTZumf/3rXwV64n/99dclSc8884y9d39J2rJli+6//341a9ZMn376aal67wcAAAAA4FLmckY8YcIEWSwWGWO0YsUKh2Vs810dzk+SOnfurJdfflnPPfec+vbtq4kTJyooKEizZ8/WjBkz1KtXL40ZM6bAMrNnz9aOHTu0Y8cOjR49usge/NPS0uw/TNieSDh9+rTi4uLk6enpsC8AAAAAAAAuJaW6FT5ixAgFBQUVWyY1NVVvvvlmaZrR2LFj1bJlS73++uvq2rWrcnJy1KhRI7311lt6/PHH7Z3x2fTv318LFy5U06ZN1axZsyLrnTp1aqEe/vv16ydJql27tg4ePFiquAEAAAAAqGgW4+JYex4eHoqLiytxXMO4uDjVqFHD5Z79LxUpKSkKDQ1VcnKyfRjCyqjO6G8rOgQAAAAAuCQcfLV3RYdQLGfzUJcHJZw/f77CwsJKLBcREaE1a9a42gwAAAAAACgFlx/1d3Z8e29vb3Xs2NHVZgAAAAAAQCm4fMffWfHx8fL29i7vZgAAAAAAgAMu3/E/fPiwU+USEhJcbQIAAAAAAJSSy4l/nTp1SjVMHwAAAAAAKH+lGs6vZs2ahYbSM8bo5MmTysjIkCTVqlWLHwgAAAAAAKggpUr8N2/eXORwfnFxcZo1a5a2bt2qBQsWlKYZAAAAAADgIpc79xs4cKD8/f2LnF+tWjU999xz6tatm8aPH+9qMwAAAAAAoBRcTvznzJmj4ODgEsv17NlTn3zyiavNAAAAAACAUij34fyOHTum+Pj48m4GAAAAAAA4UK6J/+7duzVy5EjFxsaWZzMAAAAAAKAILnfuV69evSLn5eXlKSkpSenp6ZKkyZMnu9oMAAAAAAAoBZcT/4MHD5ZYpm7duho6dKhGjhzpajMAAAAAAKAUSjWc36ZNmxQZGVlouqenp0JDQ53q/A8AAAAAAJQflxP/iIgI1a5d22HiDwAAAAAAKgeXE//ExMSyjAMAAAAAAJSDUj3qn9+2bdt06NAhSVLt2rXVvHnzsqoaAAAAAAC4qNSJ//vvv6+XXnpJJ06cKDC9Ro0aeu655/TYY4+VtgkAAAAAAOAij9Is/Nhjj+nxxx/X8ePHZYwp8O/YsWN6/PHHSfwBAAAAAKhALif+ixcv1ocffqjrr79eixYt0uHDh5Wdna3s7GwdPnxYixYtUocOHTRjxgx99dVXZRkzAAAAAABwksUYY1xZsEePHgoPD9dnn30mi8XisIwxRnfffbeSkpK0atWqUgVa2aWkpCg0NFTJyckKCQmp6HCKVGf0txUdAgAAAABcEg6+2ruiQyiWs3moy+/4b9myRStXriwy6Zcki8WiZ599VjfddJOrzQAAAAAAgFJw+VH/jIwMRUVFlVguOjpaGRkZrjYDAAAAAABKweXEv2bNmtq4cWOJ5X755RfVrFnT1WYAAAAAAEApuJz433zzzRo+fLh+//33Ists2LBBI0eOVK9evVxtBgAAAAAAlILL7/iPGTNGCxYs0HXXXae2bduqbdu2io6OliTFx8frt99+0+bNm1WlShWNGjWqzAIGAAAAAADOcznxr1mzpr799lv169dPv/32W6E7/8YYVatWTYsXL+ZRfwAAAAAAKojLib8kXXfdddq5c6dmzpypVatW6dChQ5Kk2rVr68Ybb9TgwYMr9dB2AAAAAAC4u1Il/pIUEhKiESNGaMSIEWURDwAAAAAAKEMud+7nrKysLH300Ufl3QwAAAAAAHCg3BP/5ORkPfzww+XdDAAAAAAAcKBUj/pnZmZq6dKl2rJli5KSkpSXl+ewDAAAAAAAqBguJ/67d+9Wjx49dPToURljii1rsVhcbQYAAAAAAJSCy4n/U089pRMnTuiee+5R27ZtFRoa6jDBP3PmDB3/AQAAAABQQVxO/H/55Re98cYbeuKJJ4otFx8fr+HDh7vaDAAAAAAAKAWXO/fz8/NT7969SywXFRWlAwcOuNoMAAAAAAAoBZcT/169ejmV0J89e1Y//fSTq80AAAAAAIBScDnxnzp1qqZPn64///yz2HIM5wcAAAAAQMVx+R3/qKgoffDBB+revbtyc3NVv359hYeHF+rgj+H8AAAAAACoOC4n/gcPHlTXrl118OBBSdL27duLLMtwfgAAAAAAVAyXE/+nn35aR48e1X333ac2bdooJCSE4fwAAAAAAKhkXE78165dq//+978aOnRoseUYzg8AAAAAgIrjcud+VqtVPXv2LLEcw/kBAAAAAFBxXE78e/TowXB+AAAAAABUci4n/q+//rpeeeUVbd26tdhyDOcHAAAAAEDFcfkd/3Hjxsnf31+tW7fWFVdcwXB+AAAAAABUQi4n/nPnzpXFYpExRtu3b2c4PwAAAAAAKiGXE39JevPNNxUaGlpsGYbzAwAAAACg4pQq8b/nnnsUHR1dbJkjR46Q+AMAAAAAUEFc7txv3bp1ioiIKLGcp6enq00AAAAAAIBScvmOf4cOHUosc/ToUb377ruuNgEAAAAAAEqpVI/6O5KTk6MlS5Zo1qxZWr16taxWa1k3AQAAAAAAnFRmif///vc/zZo1Sx9//LFOnz4tY4wkKSAggCH9AAAAAACoIKVK/FNTU7VgwQLNmjVLf/zxhyTJGCNvb2/ddNNNeuCBB9SmTRvVq1evTIIFAAAAAAAXxqXE/6efftKsWbO0ePFiZWZm2u/uN2/eXDt37tSmTZt01VVXSZJSUlI0cODAsosYAAAAAAA4zenE/8SJE5o7d65mz56t/fv3Szp3dz8oKEh33323HnnkEbVt21bBwcEKCgqyLxcSEqI5c+aUfeQAAAAAAKBETif+tWrVktVqtd/db9u2rR555BHdc889CgwMLLcAAQAAAACA65xO/I0xMsYoKipKCxYsULdu3cozLgAAAAAAUAY8nC149OhRvfTSSwoJCVGvXr3Ur18/rVixwv4EAAAAAAAAqHycTvyrVaumsWPHas+ePVqxYoUCAgJ0xx13qE6dOpowYYKOHDlSnnECAAAAAAAXOJ3459elSxfNnz9fJ06c0LPPPquvv/5adevW1c0336ycnJwCTwGkp6frhRdeKLOAAQAAAACA81xK/G1CQ0P1+OOP648//tDvv/+uevXqyd/fX+3bt9dTTz2lP//8U2lpaZo4cWJZxQsAAAAAAC5AqRL//Fq1aqV3331XJ06c0NSpU/XXX3/pmmuu0fXXX19WTQAAAAAAgAtUZom/jZ+fnx544AGtXbtWO3fu1K233lrWTQAAAAAAACeVeeKfX8OGDfXss8/S8z8AAAAAABWkXBN/SYqOjtaBAwfKuxkAAAAAAOBAuSf+Hh4eql27dnk3AwAAAAAAHCj3xL+srFixQj169FB4eLgCAwPVqlUrTZs2TVar9YLqyc7O1ieffKJ+/fopNjZWPj4+Cg4OVuvWrTVhwgSdOXOmfFYAAAAAAIAKcEkk/pMnT1bPnj3l5+enVatW6c8//1SPHj00bNgw9enTR7m5uU7X1bx5c91///1KTU3V7NmztXPnTq1YsUJXXHGFJk6cqObNm2vPnj3luDYAAAAAAFw8XhUdQEnWrVun0aNHq2nTplq8eLG8vb0lnfsxICkpSTNmzNDkyZP13HPPOVVfQkKC2rZtq++++05eXudWv169eurQoYOysrL05Zdf6qGHHtL69evLbZ0AAAAAALhYKv0d/wkTJkiShg0bZk/6bUaOHClJmjJlijIzM52uc+DAgfakP78hQ4ZIkjZs2KBjx465GDEAAAAAAJVHpU78ExMTtXbtWklSt27dCs1v3LixYmJilJKSouXLlztV56FDh/Too486nBcTE2P//+nTpy88YAAAAAAAKplKnfhv3rxZVqtV3t7eql+/vsMyTZo0kSRt2rTJqTpDQ0Md3u2XpBMnTkiS/Pz81KBBAxciBgAAAACgcqnU7/jv27dPkhQVFSUPD8e/UVSvXr1A2dL47rvvJEmDBg2Sv79/sWWzs7OVnZ1t/zslJUWSZLVaL3ikAQAAAABA5VPZcztn46vUib8tmS4uCQ8ICJAkJScnl6qt+Ph4zZ49WzExMXrxxRdLLD9p0iRNnDix0PTExERlZWWVKhYAAAAAQMVLSEio6BCKlZqa6lS5Sp34XyxWq1WDBw9Wdna2vv32W4WHh5e4zJgxYzRixAj73ykpKYqNjVVUVJRCQkLKM1wAAAAAwEUQHR1d0SEUy8/Pz6lylTrxtyXQxfXYn5GRIencu/uuevzxx/XDDz9o2bJluu6665xaxtfXV76+voWme3h4FPlaAgAAAADg0lHZcztn46vUa2Hr0C8xMbHIdxdsHfIV1flfSYYPH66PPvpI33zzjW688UbXAgUAAAAAoJKq1Il/69at5eHhoZycnCI779u5c6ckqU2bNhdUt9Vq1ZAhQzR79mx9//336t69e6njBQAAAACgsqnUiX90dLQ6d+4sSVq9enWh+bt27dLRo0cVHBysm2++2el68/LyNHDgQC1atEg//PCDrr/++gLzBw4cqFWrVpUueAAAAAAAKoFKnfhL0vjx4yVJ06ZNU25uboF5r7/+uiTpmWeesffuL0lbtmxR06ZN1b9//0LL5OTk6O6779bKlSu1Zs0ah08K/PTTTzp27FhZrwoAAAAAABddpe7cT5I6d+6sl19+Wc8995z69u2riRMnKigoSLNnz9aMGTPUq1cvjRkzpsAys2fP1o4dO7Rjxw6NHj1arVu3lnTuTn/fvn317bffqmbNmho0aJDDNm39BgAAAAAAcKmr9Im/JI0dO1YtW7bU66+/rq5duyonJ0eNGjXSW2+9pccff1yenp4Fyvfv318LFy5U06ZN1axZM/v01NRUffvtt5KkY8eOcVcfAAAAAOD2LonEX5J69uypnj17OlW2c+fOSkxMLDQ9LCxMxpiyDg0AAAAAgEqr0r/jDwAAAAAAXEfiDwAAAACAGyPxBwAAAADAjZH4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBsj8QcAAAAAwI2R+AMAAAAA4MZI/AEAAAAAcGMk/gAAAAAAuDESfwAAAAAA3BiJPwAAAAAAbozEHwAAAAAAN0biDwAAAACAGyPxBwAAAADAjZH4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBsj8QcAAAAAwI2R+AMAAAAA4MZI/AEAAAAAcGMk/gAAAAAAuDESfwAAAAAA3BiJPwAAAAAAbozEHwAAAAAAN0biDwAAAACAGyPxBwAAAADAjZH4AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA3RuIPAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBsj8QcAAAAAwI1dMon/ihUr1KNHD4WHhyswMFCtWrXStGnTZLVaXarvxIkTeuyxx1SrVi35+vqqVq1aeuyxx3T8+PEyjhwAAAAAgIpzSST+kydPVs+ePeXn56dVq1bpzz//VI8ePTRs2DD16dNHubm5F1Tf9u3b1bx5cy1dulRvvvmmdu7cqTfffFNLlizRVVddpe3bt5fTmgAAAAAAcHF5VXQAJVm3bp1Gjx6tpk2bavHixfL29pZ07seApKQkzZgxQ5MnT9Zzzz3nVH25ubnq16+fTp06pfXr16t9+/aSpLp166patWq6/vrrdeedd+rvv/+Wl1el/3gAAAAAAChWpb/jP2HCBEnSsGHD7Em/zciRIyVJU6ZMUWZmplP1ffrpp9q5c6euvfZae9Jv06FDB7Vr1047duzQwoULSx88AAAAAAAVrFIn/omJiVq7dq0kqVu3boXmN27cWDExMUpJSdHy5cudqvOLL74osj5J6t69uySR+AMAAAAA3EKlTvw3b94sq9Uqb29v1a9f32GZJk2aSJI2bdrkVJ2//fZbgeVKWx8AAAAAAJVZpX6Jfd++fZKkqKgoeXg4/o2ievXqBcoWJy0tTQkJCZKkatWqFVtfXFycMjIyFBAQ4LBcdna2srOz7X+npKRIkqxWq8sjDQAAAAAAKo/Knts5G1+lTvxtybS/v3+RZWyJeXJystP1FVdn/kQ/OTm5yMR/0qRJmjhxYqHpiYmJysrKKjGWivJUp5p66+djFR3GRVe7ip8OJVXe76U8DGlfQx9sYHhKXFoiArx0KuPCRmopS/e2itanWxIueLlGUf6qGuyjdftLPhfh0te5fph+2nemosOoMNWCfZSda1VSZsXtqwBwMQxoVdV+47iySk1NdapcpU78K7MxY8ZoxIgR9r9TUlIUGxurqKgohYSEVGBkxRt2Y6TuaVm12Kco4D5G3XJ1RYdQ6VitViUmJrIPoEgv31nREZQv9gFc7tgHcLljH3Avfn5+TpWr1Im/LYEursf+jIwMSVJoaKjT9RVXp62+kur09fWVr69voekeHh6VfgeyWCyXRJxAeWEfwOWOfQCXO/YBXO7YB9yHs99hpf6mbR36JSYmFvnuwokTJwqULU5QUJCio6MlnXuHv7j6qlWrVuRj/gAAAAAAXCoqdeLfunVreXh4KCcnp8jO+3bu3ClJatOmjVN1tm3btsBypa0PAAAAAIDKrFIn/tHR0ercubMkafXq1YXm79q1S0ePHlVwcLBuvvlmp+rs379/kfVJ0g8//FCgHAAAAAAAl7JKnfhL0vjx4yVJ06ZNU25uwd5jX3/9dUnSM888U+Cx/C1btqhp06bq379/oWXuvfdeNWrUSL/99ps2bNhQYN6GDRv066+/qnHjxrr33nvLY3UAAAAAALioKn3i37lzZ7388sv6559/1LdvX23ZskW7d+/W6NGjNWPGDPXq1UtjxowpsMzs2bO1Y8cOLVq0SH/99VeBed7e3vryyy8VHh6ufv36afHixTp48KAWL16sfv36KTw8XIsWLZKXV6Xu9xAAAAAAAKdU+sRfksaOHavvvvtOmZmZ6tq1q1q2bKnvv/9eb731lpYtW1YoSe/fv78iIyPVqVMnNWvWrFB9V155pf7++2/deuuteuqpp9S4cWM99dRTuvXWW/X333/ryiuvvFirBgAAAABAubIYY0xFB+EOUlJSFBoaquTk5ALDBlY2VqtVCQkJio6OZvgOXJbYB3C5Yx/A5Y59AJc79gH34mweyjcNAAAAAIAbI/EHAAAAAMCNkfgDAAAAAODGSPwBAAAAAHBjJP4AAAAAALgxEn8AAAAAANwYiT8AAAAAAG6MxB8AAAAAADdG4g8AAAAAgBsj8QcAAAAAwI15VXQA7sIYI0lKSUmp4EiKZ7ValZqaKj8/P3l48LsPLj/sA7jcsQ/gcsc+gMsd+4B7seWftny0KCT+ZSQ1NVWSFBsbW8GRAAAAAAAuJ6mpqQoNDS1yvsWU9NMAnGK1WnX8+HEFBwfLYrFUdDhFSklJUWxsrI4cOaKQkJCKDge46NgHcLljH8Dljn0Alzv2AfdijFFqaqpq1KhR7BMc3PEvIx4eHoqJianoMJwWEhLCjo7LGvsALnfsA7jcsQ/gcsc+4D6Ku9Nvw0sdAAAAAAC4MRJ/AAAAAADcGIn/ZcbX11fjx4+Xr69vRYcCVAj2AVzu2AdwuWMfwOWOfeDyROd+AAAAAAC4Me74AwAAAADgxkj8AQAAAABwYyT+AAAAAAC4MRJ/AAAAAADcGIk/AAAAAABujMQfAAAAAAA35lXRAaD8ZGdna/ny5dq0aZP27dun5ORkSVJoaKjq16+vNm3a6Oabb5afn18FRwoAKA/GGO3du9fhOaBBgwayWCwVHCEAALgYSPzdkNVq1eTJkzVlyhSlpKRIOnfxl5/tYi84OFjPPvusRo8eLQ8PHgCB+yHxweXo4MGDmjRpkr788kslJSU5LBMWFqZ+/fppzJgxqlu37kWOELh4OA/gcnfq1Clt2bLF4T7QqlUrRUREVHCEuBgs5vyMEJc0Y4z69u2rZcuWSZJiYmLUpEkTVa9eXQEBAZKkjIwMnThxQjt37tTRo0dlsVjUu3dvLV26lJMf3AaJDy5Xn332mQYNGqSsrKwC0319fSWdexrs/OmzZs3SgAEDLlqMwMXAeQCXuw0bNmjixIlas2aN8vLyHJbx8PBQly5dNH78eHXo0OEiR4iLicTfzUyfPl3Dhg3TI488opEjR6pRo0bFlt+9e7emTp2qmTNn6p133tHjjz9+kSIFyg+JDy5Xv//+uzp06KCIiAgNGjRI3bt3V5MmTVStWjX7U11Wq1VxcXHauXOnVq1apdmzZ+v06dNav3692rZtW8FrAJQNzgO43L322msaPXq0/alfHx8fVa1atcCNwPj4eJ09e1bSuaeBX3nlFY0aNarCYkb5IvF3M61bt9aNN96oSZMmXdByo0eP1qpVq/THH3+UU2TAxUHig8tZ3759FR8fr+XLlys0NNSpZc6cOaOePXuqatWqWrJkSfkGCFwEnAdwufv+++/Vs2dPNW3aVE8++aS6d++uevXqOSy7f//+/6+9Ow+Lqvr/AP4e9nUIFR3Ab4QUopjKpqalpolimbjgUi6QaYqZWZJlT4rfRM0ls8XUX4ommguEmmEpbiEaIIgmChKypDIKgiyCQMz5/dGP+TkCCsbM6Mz79Tw+j51zPvd+7szcjp+Ze8/FoUOH8OWXXyI9PR0xMTEYPHiwhjMmTWDhr2OsrKyQmpqKp59+ullxmZmZ8PT0RFlZmZoyI9IMFj6kz9q2bYvo6OhmX64ZHx8Pf39/FBQUqCkzIs3hPED6ztfXF6ampoiOjoaRUdOWdPv777/h7++P6upqHDx4UM0ZkjZwcT8dY2pqivLy8mbHlZeXw9jYWA0ZEWlWfHw8oqOjm/yPPeCfezxXrlwJf39/9SVGpAHl5eVwcHBodpyDgwNu376thoyINI/zAOm75ORkHDp0qMlFPwAYGRlh0aJFGDRokBozI23iMu46xsvLC6GhoY0u4NEQhUKBhQsXwtvbW42ZEWkGCx/SZx06dMDevXubHRcdHc2FzUhncB4gfVdVVQWpVNrsOBsbG9TU1KghI3oUsPDXMe+99x727dsHDw8P/M///A+ysrIaHZuVlYUNGzage/fu+Pnnn/H+++9rMFMi9WDhQ/ps/PjxmDdvHj777LMm3bpVVlaGzz77DB999BEXNSOdwXmA9J2bmxvCw8ObHbdp06YHLgxOjy9e6q9jhgwZgqVLl+Kjjz7C9OnTAQDGxsaws7ODubk5AKCyshIFBQXKb/SEEAgLC+NCHqQT6gqfqqoqBAcHw9ra+r7jy8rKsHbtWixYsAALFizQUJZE6hESEoK9e/di/vz5WLRoEby8vJSLmt09B9QtapacnIyqqip4enoiJCREy9kTtQzOA6TvgoKC8M4776CoqAhz5sxp0lO+Vq9ejQ0bNuDLL7/UUJakaVzcT0fFxcUhNDQUx48fh0KhaHCMgYEB+vXrh4ULF6Jv374azpBIPaqrq/H8888jOTkZpqamzSp84uPjYWJiouUjIPp3bt++jdmzZ2Pz5s1QKBSQSCQNjhNCwMDAAJMnT8aaNWtgZWWl4UyJ1IPzAOk7IQSGDx+O/fv3QyKRwMHB4b7nwLVr1yCEwNChQ/HTTz81Om/Q442Fv44rLCzE6dOnkZWVhdLSUgCAVCqFi4sLvLy8YGdnp+UMiVoeCx8iIC8vD1FRUUhISGhwDujRowdGjRoFJycnLWdK1PI4D5C+q62txdKlS7FixQrlrV/3ngd1ZaCVlRVCQkIwf/58GBoaajxX0gwW/kSks1j4EBHpN84DpO8qKyvxyy+/3PccGDJkCCwsLLScKakbC38iIiIiIiIiHcbF/YiIiHTcnTt3UFJSAuCfxzWZmZlpOSMiIiLSJBb+RKQXWPiQPlEoFNi5cyd27tyJpKQkyOVylX6ZTAYfHx+MGTMG48aNg4EBn+5Luo/zAOmzqqoqZGdnq5wDTz31FM8DPcJL/YlIJ7HwIX2Vnp6O0aNH4+LFi3jQFC+RSODm5obIyEh06tRJQxkSaQbnAdJ3ZWVl+Prrr7Fz506kpaXVe9KXgYEB3N3dMWbMGLz99tuQSqVaypQ0gYU/EekcFj6kr/Lz89G1a1fcvHkTvXr1wksvvQQ3NzfY29srF26qqKhAfn4+0tPTERsbi99//x1t2rTB2bNnYW9vr+UjIGoZnAdI3/32228ICAhAYWFhk86BNm3aYNeuXejXr5+GMiRNY+FPRDqFhQ/psxkzZmDPnj2IiopC7969mxRz8uRJjB49GsOHD8e3336r5gyJ1I/zAOm7S5cuwcPDAwqFAiNGjHjgOXDo0CHs2bMHBgYGSElJQceOHbV8BKQOLPyJSKew8CF95uTkhC+++AIjRoxoVtyPP/6IOXPmIDc3V02ZEWkO5wHSdxMnTsTp06cRExMDZ2fnJsVcvnwZL7/8Mry9vbF161Y1Z0jawMKfiHQKCx/SZ2ZmZsjIyGj2M8lzc3Ph5uaGyspKNWVGpDmcB0jfOTg4YMuWLRg0aFCz4g4ePIjAwEBcu3ZNTZmRNnEVEyLSKdevX4enp2ez47y8vHDjxg01ZESkOe3atcOZM2eaHZeSkoK2bduqISMizeM8QPquuLgYrq6uzY5zdXVFcXGxGjKiRwELfyLSKSx8SJ/5+flh5syZSEhIaHLM77//jrfffht+fn5qzIxIczgPkL5r3749jh8/3uy4Y8eOoX379mrIiB4FRtpOgIioJdUVPvb29ujZs2eTYuoKn2HDhqk5OyL1Cg0NRWRkJHr37o2ePXti4MCBcHNzg0wmg7m5OQCgsrIScrkc6enpOHz4MBISEtCqVSssXLhQy9kTtQzOA6TvRowYgVmzZsHU1BRjx45tUszOnTsxe/ZsvPXWW2rOjrSF9/gTkU6Ry+Xo0qULiouLm134nDt3jqs502PvwoULGDVqFDIyMiCRSO47VggBV1dXREVFwd3dXUMZEqkX5wHSd6WlpfDw8EBOTg4cHBzQv3//+54Dx44dw7Vr1+Dk5ITU1FRIpVItHwGpAwt/ItI5LHxI39XW1mL79u2IjIxEQkJCvfuW27Ztix49eiAgIADjx4+HkREvACTdwnmA9J1cLsfEiRNx+PBhAGj0PKgrBV988UVERETwiy8dxsKfiHQSCx+i/3f79m2UlpYCAKRSKSwtLbWcEZH6cR4gAk6cOIHdu3cjISEBWVlZKnOBi4uL8hx44YUXtJwpqRsLfyLSCyx8iIj0G+cBItJnLPyJiIiIiIiIdBivaSIiItJBV65cQWRkJJKSkpCVlYWSkhIAgI2NDVxcXODj44NRo0bhP//5j5YzJSIiInXjL/5EpLNY+JA+qqiowJw5c7Bp0yYoFAo0Ns1LJBIYGBggKCgIq1ev5mXPpJM4D5C+O3XqFHbu3HnfcyAgIAB9+vTRcqakbiz8iUjnsPAhfVVdXY2+ffsiMTERpqam8PHxgZubG+zt7WFhYQHgn/MjPz8f6enpSEpKQlVVFXx8fBAXFwcTExMtHwFRy+A8QPru+vXrmDRpEmJjYwHgvucAAAwcOBDff/89ZDKZxnIkzWLhT0Q6hYUP6bOwsDAsWrQIixYtwsyZMx/4LObS0lJ8/fXXCA0NxcKFC/Hxxx9rKFMi9eE8QPqutLQUXl5eyMrKgoODAwYMGHDfc+DIkSO4du0aOnTogJSUlAfOHfSYEkREOmTx4sXC2NhYLFmyRJSUlDxwfElJiQgLCxPGxsZi8eLFGsiQSH3c3d3F559/3uy4lStXis6dO6shIyLN4zxA+i4kJERYW1uL7du3C4VC8cDxCoVCbNu2TVhbW4uQkBANZEjawF/8iUindOnSBVOmTMGcOXOaFbdq1Sps2rQJaWlpasqMSP0sLCyQlpYGZ2fnZsVlZ2fD3d0dFRUVasqMSHM4D5C+e/rpp/HJJ59g8uTJzYoLDw9HWFgY/vzzTzVlRtpkoO0EiIha0uXLl+Hv79/suJEjRyI7O7vlEyLSICsrK+Tn5zc7Lj8/H1ZWVmrIiEjzOA+Qvrt69Sr69+/f7LgXX3wRV69ebfmE6JHAwp+IdAoLH9Jnffr0wQcffICysrImx5SVleGDDz7gis6kMzgPkL6ztbVFZmZms+MyMzNha2urhozoUcBL/YlIp4wYMQIFBQU4cOAArK2tmxRTVlYGPz8/2NnZITo6Ws0ZEqlPQkICnn/+edjZ2SEoKEi5oJNMJoOhoSEAoLa2FnK5HOnp6Th8+DDCw8NRWFiI+Ph49OjRQ8tHQPTvcR4gfTdhwgSkpKTgwIEDcHJyalJMbm4u/Pz84OnpiYiICDVnSNrAwp+IdAoLH9J327dvx5QpU1BdXa3Sfvfnv44QAiYmJvjuu+8wYcIEjeZJpC6cB0jfXbp0CR4eHgAAf39/lXPA3NwcAFBZWalyDuzduxcAcObMGbi6umotd1IfFv5EpHNY+JC+u3z5MsLCwhAdHY1bt241OMbGxgYjR47E/Pnz4eLiotkEidSM8wDpu2PHjiEgIAA3b96ERCK571ghBFq3bo1du3bhxRdf1FCGpGks/IlIJ7HwIQIUCgUuXbqErKwslJaWAgCkUilcXFzg6uoKAwMu9UO6i/MA6buSkhJ8+eWXiIyMRFpaGhQKhUq/RCKBu7s7AgICMGvWLDzxxBPaSZQ0goU/Eek0Fj5ERPqN8wARUFFRgezsbJVzwNnZGRYWFlrOjDSFhT8REZGekUqlSE1NRYcOHQAAt2/fxqpVq7BgwQItZ0ZERETqwMKfiIhIz1hbW+Ps2bPKwv/69etwcHBQue+ZSBcVFRVhy5YtSExMRHFxMWxtbdG7d29MnjwZUqlU2+kRtbji4mKYmZkpF/Wrc/bsWXz33Xe4cuUKZDIZRo0ahZdeeklLWZImsPAnIp20ceNG7Nq1C0VFRejatSuCg4Ph5eVVb5yfnx8OHjwI4J973f7++29Np0qkcdbW1jh37hycnZ0BsPAn3bJhwwYsXrwY7dq1Q1JSkrL9559/xoQJE1BaWoq6f/7WLXrWpk0bREZG4oUXXtBKzkQtLTExEW+99RbOnTsHiUSC/v37Y+PGjXByckJMTAxGjBiBv//+G0II5XnwzjvvYPXq1VrOnNSFhT8R6ZwJEybghx9+wN3/e5NIJAgODsaqVatgYmKibP/jjz9w8+ZNTJ8+HZmZmSx86LFV9+t9U+Tl5cHBwQFGRkYA/lnh/MqVK/z8k07w9/fHr7/+igULFuCjjz4CAFy4cAFeXl6oqqqCq6srvLy8YG1tjevXr+PChQvIzMzEE088gTNnzjT5uedEj6qcnBx07doV5eXlyjaJRILu3bvjyJEjcHNzg1QqhZubGwwMDJCRkYH09HRIJBLExMRg8ODBWsye1IWFPxHplKioKAQEBMDa2hrDhg1D+/btkZ+fj0OHDkEul6NPnz6IiYmBtbW1SpyPjw9SUlJY+NBjy8DAABKJBA87rUskEn7+SSe4uLhg1qxZePfdd5VtQUFB2LNnD3bs2NFgURMTE4PAwECMHTsWX331lQazJWp5M2bMwA8//ICVK1fiueeeQ1paGt5//31cu3YNH3/8MTw9PeHv768S88svv2DixIno27cvoqKitJM4qZWRthMgImpJmzZtgqurK44ePQp7e3tle21tLTZu3IiQkBAMGDAAsbGxsLGx0WKmRC1r9uzZ+Oqrr/Dkk09i2bJlkMlkDY4TQmDo0KH47rvv4OjoCAC4efMmAgICNJkukdrI5XIMHTpUpS0uLg7Lli1r9JfMoUOHYtWqVVi0aJEmUiRSq9jYWCxbtgxvvvkmAMDd3R22trYYPHgwZDJZvaIfAIYMGYJly5YhNDRUs8mSxvAXfyLSKTKZDGvXrsXIkSMb7P/zzz/h6+sLe3t7HDp0SPkYG/7iT7ogISEBb775Jq5du4ZVq1YhMDCwwXFc3I90ma2tLVJTU1Uu2W/dujVOnDiBTp06NRqXl5eHjh07orKyUhNpEqmNubk5zp49C1dXV2VbTU0NzM3NkZqaii5dujQYl5OTAzc3N9y5c0dTqZIG8cGlRKRTioqK0L1790b7n376acTHx6O4uBjDhg1DVVWV5pIjUrOePXsiJSUFs2bNwvTp0+Hr64ucnJwHxhkaGuLJJ59Uf4JEGvDMM8/g7NmzKm0ymQyFhYX3jbtx40a9lc+JHkfm5uaoqalRaautrYUQ4r7/7qmqqoKhoaG60yMtYeFPRDrFysoKt27duu8Ye3t7xMbGIi8vDyNGjKg3ORI9zoyNjREaGork5GSUlpaiS5cuWL169X3v/W/Tpg2ys7M1mCWR+owYMQJhYWGorq5Wtr3yyitYtWpVozEKhQKffvopPDw8NJEikVr95z//wc8//6zStn//flhaWiIyMrLRuMjISH4JrMNY+BORTuncuTP27dv3wHEODg6IjY1FWloaxo4dy8f4kc5xd3fHqVOn8Omnn+KTTz5Br169cP78eW2nRaR2s2fPxo0bN9CvXz8cPnwYCoUCH374Ic6dOwcfHx9s3rwZiYmJ+PPPPxEfH4+1a9eiW7du2L9/P6ZPn67t9In+tQEDBmDBggVYuHAhDhw4gFWrVmHq1KmYN28eVqxYgQULFqj8SFJWVoawsDD897//xaBBg7SXOKkV7/EnIp3y6aefYunSpVi5ciUmTZoEKyur+47PzMxEv379cP36dQDgPc6kk7KzszF16lTExcXhgw8+wOrVq3Hu3LlmPQKQ6HGSmZkJX19f5OXlwdTUFE899RQqKyuRm5urfGb53YQQmDp1KtavX6+FbIlaVm5uLjp37qxyr76joyPS09Mxfvx47N+/HwDQrl07SCQSyOVyAIClpSXOnj0LZ2dnreRN6sXCn4h0yl9//QUXFxf8/fffMDIyQlFR0QOL/7S0NPTv3x9FRUUs/Emn1T3ZoqSkBJmZmSz8SadVVFRgyZIlCA8PR35+fqPjXF1d8fHHH2PixIkazI5IvY4cOYI5c+bgzz//RLdu3fDtt9+iW7duuHXrFgYPHoykpCSV8e3atcO2bdswYMAALWVM6sbCn4h0zm+//Ybi4mIA/9zX2ZSFatLS0hAbG4vZs2erOz0irZLL5Th48CBGjRoFS0tLbadDpHYKhQLnz5/HuXPnUFBQgIqKCpibm8Pe3h4eHh5wc3PTdopEGnfkyBEkJycD+OfLL19fXy5uqeNY+BMRERERERHpMC7uR0RERERERKTDWPgTERERERER6TAW/kREREREREQ6jIU/ERERERERkQ5j4U9ERKQFixcvhkQiUf7ZvHmzVvK4c+eOSh5PPfVUi2w3NDT0kTg+XRQYGKjy2h47dkzbKRER0SOOhT8REdE9ioqKEBoaCh8fH9jY2MDExAT29vbw9PTExIkTsX79eqSnp/+rfcyZMwf5+fkYM2ZMC2X9cMzMzJCfn4/ExMQW3e7cuXMfeHxhYWFo1aoVjhw50qL71nVr1qxBfn4+nnvuOW2nQkREjwkjbSdARET0KLlw4QIGDhyI27dvY+7cufDz84NMJkN5eTmSkpKwdOlSREREwN3dHefPn3/o/VhaWsLS0vKReG6yTCbDnTt3WnSbVlZWsLKyuu/xbd++HcXFxfjxxx8xYMCAFt2/LrOxsVF+IUVERNQULPyJiIjuMnXqVMjlcuzYsQNjx45V6evUqRN8fX3h4eGhpex0S0hICNatW4egoCBtp0JERKTTeKk/ERHR/ykpKcHJkycBAH5+fg2Okclk9b4QoIcTGBiI33//HV5eXtpOhYiISKex8CciIvo/CoVC+ferV682Ou6TTz5BVFRUg30VFRVYsmQJunfvrryU383NDUFBQYiJiVHZx71OnDiBF198EdbW1pBKpXjllVeQkZHR6PicnBxMmzYNTk5OMDExgZ2dHYYOHYpff/210ZizZ89i+PDhsLW1haWlJby9vbFly5ZGx7dp06bRhf/uXWQuJyen0e3c7dixYypxgYGBKq/BvX1XrlzBa6+9hjZt2sDc3Bze3t6IiYm57+syYcIEtG3bFmZmZnB1dcUnn3yCioqKh17IcPfu3ejXrx9kMhlMTEzg7OyMyZMnY//+/aipqak3/q+//sLMmTPRoUMHmJqaQiqVwsvLC3PnzkVqaqrK2MLCQqxduxa+vr5wcnKCqakp2rZti+HDh+PEiRNNzvFef/zxB1577TXY29sr16kICAho8fUciIjoMSCIiIhIycHBQQAQ/fr1E3K5vFmx169fF127dhXGxsZiyZIlIiMjQ6SlpYkvv/xSSKVSAUDs2bNHJWby5MkCgAgKChKDBw8WCQkJIiMjQyxfvlwYGhoKR0dHUVZWVm9fcXFxwsbGRtjZ2YmIiAhx6dIlcejQIdGrVy8BQCxbtqxezNGjR4W5ubmwtbUV4eHhIjs7WyQlJYmAgAAxZcoUAUA4OTnVO6bExMQG+27duiXy8/NF+/btBQCRnZ1db591xxceHq5sq6qqEvn5+eKLL74QAMTkyZOVfdXV1Sp9L7/8sujTp4/Yv3+/uHz5sti9e7do1aqVMDQ0FElJSfX2l5aWJlq3bi1MTU3F6tWrRVZWljh37pwIDg4W/fv3FwAEAJGfny9u3LhR/01swEcffSQAiPfee0+kpqaKy5cvi59++kl07dpVABBHjx5VGX/y5Elha2srZDKZ2LZtm8jOzhanT58W7777rnL/t27dUo5funSpACCCg4NFcnKyyM7OFkeOHBGvvPKKMDAwENu3b28wr379+jW4fyGEiIyMFCYmJqJDhw5iz549IjMzU+zbt0907NhRGBoaioiIiCYdOxER6QYW/kRERHdZt26dsjgzNzcXr7/+uoiKihKlpaUPjPXz8xMAxPLly+v1bd++XQAQ0dHRKu11hbGtra0oLy9X6Rs5cqQAILZu3arSXlxcLNq1aycAiFOnTqn0VVZWCnt7e2FgYCASExOV7RUVFcLR0VEAEHv37lWJqa2tFR4eHg0W90IIkZ2d3WifEEI4OTk1q/CvEx4eXq/wv7cPgIiPj1fpW7NmjQAgpkyZUi/O09NTABBr1qyp1zd8+HDlNpuqsrJSmJmZCXd393p9f/31l5BIJCqF961bt4S9vb2QSCQiISGhXsy0adMEAFFcXKxsW7t2rRg/fny9sTU1NcLNzU20adNGVFZW1utvrPDPysoSFhYWwsTEROTm5qr05efnC3Nzc2FhYSHy8vIecPRERKQreKk/ERHRXd566y188803aNWqFSorK7Ft2zaMGjUKrVu3xoABA7B27VqUlpbWi0tJScGBAwdgbGyM6dOn1+sfPXo0HBwcYGxs3OB+x4wZA0tLS5W2nj17AkC9S8M3btyI69ev47nnnkOvXr1U+szMzBAYGAiFQoG1a9cq2yMjI3H16lU4Ojri1VdfVYkxMDDAzJkzG39RtKhjx47o3bu3Sltjr0tcXBxSUlJgYmKCKVOm1NvWrFmzmr3/srIy3LlzBzdv3kRFRYVKX/v27fHdd9/hmWeeUbZt3LgR+fn56NmzJ3r06FFve1OmTIGNjQ0kEomybcaMGdi+fXu9sUZGRvD29kZhYSESEhKanPPq1atRUVGBUaNG4cknn1Tpk8lk8Pf3R0VFBTZt2tTkbRIR0eONhT8REdE9goOD8ddffyEiIgKjR4/GE088gZqaGhw9ehQzZ86Ei4sLfvrpJ5WYgwcPAgDc3NxgbW1db5vGxsa4evUqXn755Qb3+fTTT9dra9WqFQCguLi4wX15e3s3uK0OHToAAOLj45Vtx48fB4BGF9Lr1KlTg+3a1pzXpe4Y3dzc6n2JAjzcMdrZ2eHZZ5+FXC6Ht7c3wsPDUVJSoux/44034OjoqPzvuvfGx8enwe316NEDt27dgo2NjUr7kSNHMHr0aDg7O8PGxkb5OMQdO3YAuP+aE/d6mM8HERHpNhb+REREDbCwsMDrr7+O3bt3o7CwEMePH8eMGTNgYWGBwsJCjBs3Drm5ucrxdX+3s7N7qP21bt26XpuR0T9P3a2trVVpz8vLAwCsX79eWSDe/aful+27i8UrV67cNz+ZTPZQeatbQ69L3VUT974u6jrG6Oho9O7dGxcvXsQbb7wBOzs7vPTSS9i6dSuqqqpUxj7M52DlypUYOHAgEhISsGDBAvz2229ITU1Famqq8uqM6urqJm+v7vMxf/78Bj8fK1asANC8LxOIiOjxZqTtBIiIiB51hoaG6Nu3L/r27Yu5c+fC29sbxcXF+OGHH/Dhhx+2yD7uvvS7qWbOnIng4OBmbVMI0ez9PIg6tlnnYV6Xls7HxcUF8fHxOH36NLZt24bIyEgcPnwYhw8fxvLly3HgwAG0b9/+obadn5+P+fPnA/jnyQH33rrR0NUjTRUWFobhw4c32t/YbSdERKR7WPgTERHdZcmSJRg4cKDyPvJ7dejQAePGjcO3336r8vg6JycnAEBBQYHac3RyckJ6ejqEEA1eCt+QusK0sfzkcnmjsYaGhgDq/8Jep7CwsEk5qNu/Ocam8Pb2hre3Nz7//HMcOnQIs2bNwvnz5zFv3jxs27YNwP+/N039HJw8eRI1NTWQSqX1iv6H5eTkhIyMDBgZGTX580FERLqNl/oTERHdZcOGDfd9RjzwzwJ6gOrl3L6+vgCA9PR0lJWV1YuprKzEkCFDsGHDhn+dY92+GnseuxACgwYNwty5c5Vt/fr1AwAkJyc3GHPx4sVG91d3P/q999QD//xife+id9pSd4wZGRkoLy+v13+/Y2xMYWEhAgMDcefOHWWbRCKBr68vNm7cCAA4c+aMsu9B701SUhJeeukl5WJ9CoUCQONXKTzM5fgPyqG8vBw9evTA559/3uxtExHR44mFPxER0T2+//57lQXc7lZeXo7o6GhIJBKMGDFC2e7p6Qk/Pz/U1NRg3bp19eI2b96MX3/9FR4eHv86vylTpkAmk+HUqVM4efJkvf5t27YhNjYW/fv3V7aNHj0ajo6OuHbtGvbt26cyXqFQ4Jtvvml0f1KpFM7Ozrh9+zbS09NV+h6lleFfeOEFeHp6orq6usG8vvrqq2Zvs7y8HFu2bEFcXFy9vpqaGgBQWTm/7r1JTExssPBeuXIlzpw5g+7duwP45yoCiUSCsrIynDhxQmXs1atXG3x/H2TOnDmwtLREdHQ0srOz6/V/8cUXOH36NAYNGtTsbRMR0eOJhT8REdFdJBIJcnJy0KtXL4SHh+PChQu4cuUKUlJSsGHDBnh7eyMnJwehoaHw9PRUid28eTOeffZZfPzxx/jss8+QmZmJCxcuYMWKFXjvvfcwb9485WrvlZWVkMvlqKysBACUlJRALpejtrYWtbW1kMvlyi8f7h1rY2ODH3/8ETY2Nhg+fDg2btyIy5cv4/z581iyZAmmTp2KWbNm4ZVXXlHmZm5ujoiICJibmyMwMBBbtmxBbm4ukpOTMW7cOEilUgBQ7ruoqEjl2OrWEggMDER8fDxycnLw7bffIiUlRVn4FhQUKC+nLy8vb/D4KisrUV1d3eDxlZeXP/DYCwoKlJfR3zsWALZu3YrWrVtj3rx5WLNmjfJ1efvtt5VPA3gYgYGBCA8Px8WLF5GVlYWoqChMmzYN5ubmCA0NVY67+73x9/fHjh07kJubi9OnT+PNN99EVFQUvv/+e5iamgIAnJ2dlY9/HD9+PHbt2oWsrCz8+uuvGDJkiPL2irs/H3V/r1vwr6ioSOW/nZ2dERERAYVCgYEDB2LXrl3Izc3FmTNnEBISgoULF2LlypV49tlnH/r1ICKix4wgIiIipWvXrol169aJ8ePHC3d3dyGVSoWBgYGwsLAQrq6uYtKkSeLEiRONxpeXl4vFixeLZ599Vpibm4tWrVqJ3r17ix07dgiFQqEcFx4eLgDU+5OdnS2ys7Mb7AsPD1fZV15enggODhZPPfWUMDExETKZTPTv31/s3r1bZV93S01NFcOGDRM2NjbCzMxMdO7cWSxbtkxcunRJZV89e/ZUiVMoFOKzzz4THTp0EMbGxqJ9+/Zi3rx54s6dO8LJyUkltqamRixcuLDRYzh69GiDfQsXLnzgsd+7LwBi8uTJKrlevnxZvPbaa6J169bC1NRUuLm5ieXLl4uamhoBQEgkkiZ/HhQKhTh+/LgIDg4WnTp1Eubm5srPwrRp00RmZmaDcXl5eWLGjBnK98bR0VG8+uqrIjExsd7Y2tpasXr1atG5c2dhYmIiLC0thbe3t1i/fr2YNGlSvc/H5MmTG3yNjh49qrLdtLQ0MWnSJOHo6ChMTExE+/btxdChQ0VsbGyTj5+IiHSDRAg1LsVLRERE9IgoKyuDVCqFra1tvSsaiIiIdBkv9SciIiKdceLECfzyyy8N9l24cAEA0K1bN02mREREpHUs/ImIiEhnxMbGYvbs2cqF9+5W90SFoKAgTadFRESkVSz8iYiISKdcunQJI0eORFxcHPLy8pCSkoKZM2di06ZNGDduHCZOnKjtFImIiDSK9/gTERGRzsjLy0NERARiYmKQk5ODgoICmJmZoWvXrggKCkJQUBAkEom20yQiItIoFv5EREREREREOoyX+hMRERERERHpMBb+RERERERERDqMhT8RERERERGRDmPhT0RERERERKTDWPgTERERERER6TAW/kREREREREQ6jIU/ERERERERkQ5j4U9ERERERESkw/4X33QtOeQfWIQAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (8,6))\n", - "plot_results.transport(results= results_demand, source= 'SD', sink = 'NY', resource= 'Power', transport = 'Grid')\n", - "plot_results.transport(results= results_demand, source= 'HO', sink = 'NY', resource= 'Power', transport = 'Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'P', component= 'WF', location = 'HO', fig_size= (9,5), color = 'steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'S', component= 'Power', location= 'NY')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_scenario.cost_factor(scenario= scenario, location= houston, resource= CH4)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston, process= PV)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston,process= WF)\n", - "plot_scenario.demand_factor(scenario= scenario, location= houston, resource= Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "kmeans = KMeans(n_clusters = 60, random_state = 0, n_init = 'auto').fit(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "red = kmeans.cluster_centers_ " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "help(Scenario)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/multiloc.ipynb b/examples/multiperiod-examples/multiloc.ipynb deleted file mode 100644 index 763bb711..00000000 --- a/examples/multiperiod-examples/multiloc.ipynb +++ /dev/null @@ -1,1576 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP example" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - Lithium-ion batteries (LiI), Solar Photovoltaics (PV), Wind Farms (WF), Steam Methane Reforming + CCUS SMRH, SMR, Hydrogen Fuel Cells (H2FC), Direct Air Capture (DAC), Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "CH4, CO2, CO2_DAC, CO2_Vent, H2, H2O, Power, Solar, Wind\n", - "\n", - "LiI_Power_stored is generated implicitly as Power stored in LiI " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas \n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.result import Result \n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.utils.data_utils import load_results\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib import rc\n", - "from itertools import product\n", - "# from pyearth import Earth\n", - "import pyomo.environ as pyo\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc:str):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " return df" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "weather_ny = load_data('ny')[['DNI', 'Wind Speed']]\n", - "weather_ny = weather_ny.rename(columns= {'DNI': 'dni', 'Wind Speed': 'wind_speed'})\n", - "weather_sd = load_data('sd')[['dni', 'wind_speed']]\n", - "weather_ho = load_data('ho')[['dni', 'wind_speed']]\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Demand data for San Diego (CAISO for SDGE region) and Houston (ERCOT for COAST region)**" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "demand_sd = pandas.read_excel('../data/HistoricalEMSHourlyLoad-2019.xlsx', index_col= 0)[['SDGE']]\n", - "demand_ho = pandas.read_excel('../data/Native_Load_2019.xlsx')[['COAST']]\n", - "demand_ny = pandas.DataFrame(pandas.read_csv('../data/NYC_load.csv')['Load'])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Natural gas prices from Henry Hub Price Index** \n", - "\n", - "We use the special function energiapy.make_henry_price_df because of special requirements such as filling in empty data points (weekends, public holidays). Such function will be generalized in the next update of energipy" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\utils\\data_utils.py:311: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", - " if x < float(lower) or x > float(upper):\n" - ] - } - ], - "source": [ - "ng_price = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020, stretch=True)\n", - "ng_price = ng_price.drop(columns= 'scales')\n", - "ng_price = remove_outliers(ng_price, sd_cuttoff = 3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max= bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', demand= True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM, price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource')\n", - "\n", - "H2_L = Resource(name='H2', basis='kg', label='Hydrogen', block='Resource', store_max = 10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='kg', label='Carbon dioxide - sequestered', store_max = 10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM**2,\n", - " price= 0.001, basis='kg', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM**2, price=1, basis='kg', label='Natural gas', varying= [VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='kg', label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='kg', label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='kg', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='kg', label='Carbon dioxide - captured')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage= Power, capex = 3516428, fopex= 87910, vopex = 0, store_max = 10000, prod_max=bigM, label='Lithium-ion battery', basis = 'MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1},capex=1462000, fopex=43000, vopex=4953, prod_max=bigM, label='Wind mill array', varying= [VaryingProcess.DETERMINISTIC_CAPACITY], basis = 'MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex = 1333262, fopex= 22623, vopex=0, prod_max=bigM, varying = [VaryingProcess.DETERMINISTIC_CAPACITY], label = 'Solar PV', basis = 'MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex =2520, fopex = 945, vopex = 0.0515,\\\n", - " prod_max= bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name= 'NGCC', conversion = {Power: 1, CH4: -108, CO2_Vent: 297*0.05, CO2:297*0.95}, capex = 2158928, fopex= 53320, vopex = 4090, prod_max= bigM, label = 'NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex = 2400, fopex = 800, vopex = 0.03, conversion={Power: -1.11*10**(-3), CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion = {H2:-50, Power: 1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max = bigM, label = 'hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex = 0.02536, fopex = 0.634, vopex = 0, conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex = 3924781, fopex= 17820, vopex = 512.5, store_max = 10000, prod_max=bigM, label='Pumped storage hydropower', basis = 'MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -4.17*10**(-4), H2_L: 1, H2: -1}, capex = 1.6*10**6, vopex = 3.5, fopex = 0, prod_max= bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex = 0.01, vopex = 0.001, fopex = 0, prod_max= bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -1.93*10**(-4), H2O: -4.048, CO2_DAC: 1}, capex = 0.730, fopex= 114000, vopex= 3600, prod_max=bigM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3364.1, Power: 1}, capex = \t7988951, fopex= 0.04*0.730, vopex= 0, prod_max=bigM, label='Small modular reactors (SMRs)')\n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -0.00128, CO2_AQoff: 1, CO2: -1}, capex = 0.00552, vopex = 0.00414, fopex = 0, prod_max= bigM, label='Offshore aquifer CO2 sequestration (SMR)')\n", - "\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = {LiI, WF, PV, PEM, H2_Comp}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Locations**" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes= process_list, capacity_factor = {PV: weather_ho[['dni']], WF: weather_ho[['wind_speed']]},\n", - " demand_factor= {Power: demand_ho}, price_factor = {CH4: ng_price}, scales=scales, label='Houston',\n", - " price_scale_level= 2, demand_scale_level=2, capacity_scale_level= 2)\n", - "\n", - "sandiego = Location(name='SD', processes= process_list, capacity_factor = {PV: weather_sd[['dni']], WF: weather_sd[['wind_speed']]}, \n", - " demand_factor= {Power: demand_sd}, price_factor = {CH4: ng_price}, scales=scales, label='SanDiego', \n", - " demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n", - "\n", - "newyork = Location(name='NY', processes= {LiI, WF, PV, H2_Comp}, capacity_factor = {PV: weather_ny[['dni']], WF: weather_ny[['wind_speed']]}, \n", - " demand_factor= {Power: demand_ny}, price_factor = {CH4: ng_price}, scales=scales, label='NewYork', \n", - " demand_scale_level=2, capacity_scale_level= 2, price_scale_level= 2)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Transports**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Train_H2 = Transport(name= 'Train_H2', resources= [H2_C], trans_max= bigM, trans_loss= 0.03, trans_cost= 1.667*10**(-3)\\\n", - " , label= 'Railway for hydrogen transportation')\n", - "Grid = Transport(name= 'Grid', resources= [Power], trans_max= bigM, trans_loss= 0.001, trans_cost= 0.5*10**(-3), label= 'Railroad transport')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Network**" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [0, 2366, 2620],\n", - " [2366, 0, 4440],\n", - " [2620, 4440, 0]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[], [Train_H2], [Train_H2]],\n", - " [[], [], [Train_H2]],\n", - " [[Train_H2], [Train_H2], []] \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [houston, sandiego, newyork], sink_locations= [houston, sandiego, newyork], distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'name': 'Network',\n", - " 'source_locations': [HO, SD, NY],\n", - " 'sink_locations': [HO, SD, NY],\n", - " 'distance_matrix': [[0, 2366, 2620], [2366, 0, 4440], [2620, 4440, 0]],\n", - " 'transport_matrix': [[[], [Train_H2], [Train_H2]],\n", - " [[], [], [Train_H2]],\n", - " [[Train_H2], [Train_H2], []]],\n", - " 'label': '',\n", - " 'transport_dict': {('HO', 'HO'): set(),\n", - " ('HO', 'SD'): {Train_H2},\n", - " ('HO', 'NY'): {Train_H2},\n", - " ('SD', 'HO'): set(),\n", - " ('SD', 'SD'): set(),\n", - " ('SD', 'NY'): {Train_H2},\n", - " ('NY', 'HO'): {Train_H2},\n", - " ('NY', 'SD'): {Train_H2},\n", - " ('NY', 'NY'): set()},\n", - " 'distance_dict': {('HO', 'HO'): 0,\n", - " ('HO', 'SD'): 2366,\n", - " ('HO', 'NY'): 2620,\n", - " ('SD', 'HO'): 2366,\n", - " ('SD', 'SD'): 0,\n", - " ('SD', 'NY'): 4440,\n", - " ('NY', 'HO'): 2620,\n", - " ('NY', 'SD'): 4440,\n", - " ('NY', 'NY'): 0},\n", - " 'transport_avail_dict': {('HO', 'HO'): set(),\n", - " ('HO', 'SD'): {'Train_H2'},\n", - " ('HO', 'NY'): {'Train_H2'},\n", - " ('SD', 'HO'): set(),\n", - " ('SD', 'SD'): set(),\n", - " ('SD', 'NY'): {'Train_H2'},\n", - " ('NY', 'HO'): {'Train_H2'},\n", - " ('NY', 'SD'): {'Train_H2'},\n", - " ('NY', 'NY'): set()},\n", - " 'locations': [SD, NY, HO]}" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "network.__dict__" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare Scenario**" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "scenario = Scenario(name= 'scenario_full', network= network, scales= scales, \n", - " purchase_scale_level = 2, expenditure_scale_level= 0, scheduling_scale_level= 2, network_scale_level= 0, demand_scale_level= 2, capacity_scale_level= 2,\n", - " label= 'full_case', demand = {newyork: {H2_C: 0.274, Power:0.274/10}, houston: {H2_C:0.274/10, Power: 0.274/10}, sandiego: {H2_C:0, Power: 0.274/10}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(scenario = scenario, location= houston, process= PV, fig_size= (9,5), color= 'orange')\n", - "plot_scenario.capacity_factor(scenario = scenario, location= sandiego, process= WF, fig_size= (9,5), color= 'blue')\n", - "plot_scenario.demand_factor(scenario = scenario, location= newyork, resource= Power, fig_size= (9,5), color= 'red')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for demand**" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# milp_demand = formulate(scenario= scenario, \n", - "# constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,Constraints.RESOURCE_BALANCE, \n", - "# Constraints.TRANSPORT, Constraints.NETWORK},objective=Objective.DEMAND)\n", - "\n", - "# results_demand = solve(scenario = scenario, instance= milp_demand, solver= 'gurobi', name=f\"results_demand\", print_solversteps = True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "milp_cost = formulate(scenario= scenario, \n", - " constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,Constraints.RESOURCE_BALANCE, \n", - " Constraints.TRANSPORT, Constraints.NETWORK, Constraints.DEMAND},objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1244132 rows, 1139013 columns and 2833879 nonzeros\n", - "Model fingerprint: 0xb3f2eb26\n", - "Variable types: 1138983 continuous, 30 integer (30 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [9e-03, 1e+12]\n", - "Warning: Model contains large rhs\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 1112735 rows and 1007608 columns (presolve time = 5s) ...\n", - "Presolve removed 1112735 rows and 1007608 columns\n", - "Presolve time: 5.50s\n", - "Presolved: 131397 rows, 131405 columns, 394384 nonzeros\n", - "Variable types: 131405 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 3.8288921e+13 0.000000e+00 8.495324e+08 7s\n", - " 99750 1.9661166e+09 0.000000e+00 5.258620e+10 10s\n", - " 108464 1.1498740e+08 0.000000e+00 7.960561e+09 15s\n", - " 113074 6.3204135e+07 0.000000e+00 3.114782e+09 20s\n", - " 117034 4.8264595e+07 0.000000e+00 2.826867e+09 25s\n", - " 120334 4.2692323e+07 0.000000e+00 8.834557e+08 30s\n", - " 123684 4.0870233e+07 0.000000e+00 5.567543e+08 35s\n", - " 126574 3.9179749e+07 0.000000e+00 8.393631e+09 40s\n", - " 130617 3.7182732e+07 0.000000e+00 2.649989e+09 45s\n", - " 132777 3.6816213e+07 0.000000e+00 3.209830e+09 50s\n", - " 134577 3.6779361e+07 0.000000e+00 1.258141e+09 55s\n", - " 136177 3.6761640e+07 0.000000e+00 6.533107e+09 60s\n", - " 137577 3.6745539e+07 0.000000e+00 6.184020e+09 65s\n", - " 138777 3.6735395e+07 0.000000e+00 3.926315e+09 70s\n", - " 139947 3.6620981e+07 0.000000e+00 4.148960e+09 76s\n", - " 140937 3.6331397e+07 0.000000e+00 5.260417e+09 80s\n", - " 142037 3.5903151e+07 0.000000e+00 5.846102e+09 85s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 2.797406e+07, 153280 iterations, 80.76 seconds (111.57 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 2.797406e+07 2.7974e+07 0.00% - 87s\n", - "\n", - "Explored 1 nodes (153280 simplex iterations) in 87.29 seconds (115.11 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 2.79741e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.797405952581e+07, best bound 2.797405952580e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results_cost = solve(scenario = scenario, instance= milp_cost, solver= 'gurobi', name=f\"results_cost\", print_solversteps = True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABAIAAAHtCAYAAACDCtxFAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAABv0klEQVR4nO3deVhU5f//8dcMIKACLoEb7qZGm6mkbW5kuWSp2Wrl8jHTTCut1LJcykz9WLmgn7JSs1JzqazcTVPTFLcsTS1zF4RcwBWRuX9/+GO+4AwwDIMs83xc11wXnHPf534fmIFz3uec920xxhgBAAAAAACvYM3vAAAAAAAAwLVDIgAAAAAAAC9CIgAAAAAAAC9CIgAAAAAAAC9CIgAAAAAAAC9CIgAAAAAAAC9CIgAAAAAAAC9CIgAAAAAAAC9CIgAAAAAAAC9CIgAA3DRs2DBZLJYsX1arVaVLl1bjxo01atQoJSYm5nfYuMY2btyoihUrKjIyUqdPn87vcLJVrVq1TN/Pq1evzrRfs2bNnPZxxmazaf78+XrqqadUq1YtBQUFqUSJEqpRo4bat2+vTz/9VOfPn88yTk99/t57771st5PV68CBA5Kk6dOnZ9lu+vTpGcZ1tR0Kh+zej2nvk/Sy+qw1a9Ys2zGXLVumnj176oYbblCpUqUUGBioqlWrqlWrVpo4caJOnjzp+R0FUGRYjDEmv4MAgMJox44d2rFjhyTp6aefliTdc8896tmzp73N+fPnFRMTo5kzZyo5OVlVqlTRwoULdeutt+ZLzLj2XnjhBUVHR0uS5s2bp4cffjifI8rat99+q7Nnz2rIkCE6ePCgJOmdd95R1apV1bJlS5UrV85pv+XLl+v48eOaNGmStm3bpo8//lg+Pj566qmnMrTbtGmTevTood9//101a9ZU+/btVaNGDfn4+OjQoUP6/vvv9fvvvys8PFzjx49Xx44dnY7nqc/fzp07tW3btiy348yCBQv0zTffaP/+/apWrZr++ecfrV+/XqdPn9aLL74om80mSRo8eLAiIiJ05513qkaNGvb+X3zxhSTp/fff1+7duzVx4kT5+/s7tCuKDhw4YE94vPTSSypVqlShjyW792OHDh1UokSJDH3SPmtr167Vxx9/LEl6/fXXdcMNN6hcuXJq2bKl07H++usvde/eXevWrVPFihXVoUMH1alTRwEBATp27JiWLl2qDRs2qEyZMho5cqR69erl1j4BKOIMACDXJBlJpkuXLk7Xb9261ZQoUcJIMpUqVTInT568tgEi36xfv96UL1/e3HbbbebEiRP5HY7LBg8ebH9fjxw50qU+ly5dMmXKlDEPPfSQ0/XffvutCQwMND4+Pub99983qampTtt98cUXpnjx4sZisZixY8dmO66nPn/ZbSe9oUOHGklm//79Dut69+5t31aTJk0y3camTZuM1Wo177zzTrbjFSWrVq2y/3yc/fwKeyw5eR8ZY8y0adPsfVatWpVl2/Xr15syZcoYSebVV181Fy9edNpu6dKlJjQ01Egyffv2NTabLYd7AaCo49EAALgGbrvtNr322muSpKNHj2r8+PH5HBGulTvuuEOxsbHaunWrypQpk9/huOzJJ5+0fz1r1iyX+ixdulQnT57M0DfN9u3b9cQTT+jChQv68MMP9fLLL8tqdX4Y0rlzZ82ePVvGGL366quaO3euezvx/13rz9+7776rsLAwSdKaNWs0Y8YMhzapqanq1auXateurVdffTVP40HRcOTIEbVv314nT57UgAEDNGbMGPn7+ztte99992nRokXy9/fXxIkT9d///vcaRwugoCMRAADXSPpbnL/77rt8jATI3k033aSbb75ZkvTHH3/o999/z7bPV199paCgILVr1y7D8tTUVD3++OO6cOGCIiMj1adPn2y31a5dO3Xq1EmS9Oyzzyo+Pt6Nvfg/nv783X333Ro4cKBCQkIc1pUqVSrDiderr76qU6dOZWgzefJkbd26VVOmTFGxYsVyHQ+Kvq5duyo+Pl6VK1fWO++8k237hg0bqm/fvpKkN954Qzt37szrEAEUIiQCAOAaqVmzpv3rffv25WMkgGvSX9n/6quvsmx77tw5LVy4UO3bt1dgYGCGdV9++aX27NkjSerbt2+mRQSvlnYSk5iYqEmTJuUkdAee/vzde++9eu+991S6dGmn659++ml7wbeEhAQNHDjQvi42NlZDhgxRly5dXCoKB6xdu1YrV66UdCUxFhAQ4FK/F154QZKUkpKi0aNH51l8AAofEgEAcI34+PjYv05JSbF/fXW16K5du0q6cvLUpEkTlS1bNstK0n/88Yd69OihGjVqKDAwUKVLl9btt9+u9957T+fOncs2rkOHDumll17SDTfcoBIlSigwMFA1atRQp06d9NlnnykpKSnTvvv27VPv3r1Vq1YtBQYGKiQkRPXq1dPgwYN1/PjxTPtdvHhRY8eOVaNGjRQSEiI/Pz9VrFhRbdu21cSJE5WQkOC039GjR+2xFi9eXAEBAapVq5b9VvKLFy9mu7/pde3a1WnF7rTfQZojR47IYrE4LeLmbBvTp0/X6tWrXa4In5v9SkpK0ogRI3TbbbcpODhYxYsXV61atfSf//xHv/32W45+Hld74okn7Cfts2fPzrLtwoULde7cOaePBaQVQrNYLA53C2Tl7rvvtj9OMXXqVJf7OZPZ5y+nnL0/MjN58mT5+flJkj755BNt2LBBkvTyyy/L19fXo7drnzhxQkOGDFG9evUUHBwsf39/ValSRe3atdOkSZOyvKPi33//1RtvvKFbb71VwcHBKlGihOrWrasXX3zRXjAyMzExMXryySdVpUoV+fv7q2TJkqpXr5769u2rVatWyaSrSZ02s0Lz5s3ty6pXr57lZy87qamp+uGHH/Sf//xHERERKlGihAICAlStWjV17txZmzZtctovL2LJSx999JH96wcffNDlflWrVlW9evUkXfkMnz171tOhASis8rtIAQAUBXKhONSBAwfs7WrVqmVfPnPmTDNz5kxTt25d+zb69Oljateubd59913z0UcfmbZt2xpJpmnTphm2OW7cOOPj42N8fX1N9+7dzccff2zGjRtnbr/9diPJVK5c2fzxxx+ZxjRnzhwTEBBgJJmHH37YTJ482XzwwQfm6aefNj4+PkaSCQoKMn///bdD35kzZ5pixYoZX19f061bNzN16lQzfvx4c++99xpJJiQkxPz0008O/RITE029evWMJHPXXXeZMWPGmKlTp5o33njDVKxY0UgyxYoVM0ePHs3Qb/v27aZ06dLGx8fHPPbYY+bDDz80U6ZMMb179zaBgYFGkrnxxhsz3Vdn1q9fb2bMmGH8/PyMJNOpUyczc+ZMs379+gztoqOj7b+733//3WEbM2fONDfffLO54YYbzMyZM82+fftMXFyc/Xeb1nfatGkOMeRmv7Zv324qVKhgJJmWLVuaiRMnmo8//th07drV+Pr6GovFYv773//m6Gdytbvuusse/y+//JJpuwceeMCEhYWZlJSUDMvPnj1r//lWq1Ytx+M3bdrUPv7u3budtsnN5y+n28lu/dUGDRpk3+6tt95qFi1aZCSZqVOnuryN7KxevdqULl3aSDL33nuvmTBhgpk0aZLp1auX/fPt7+9v1qxZ49B31apV9r5p76EpU6aYTp06GUkmICDAzJkzx+m406ZNM1ar1YSEhJi+ffuaKVOmmA8++MB06NDBvs99+vSxt9+3b5+ZOXOmef311+3rP/jgA/vnxNlnLzsvvfSSkWSsVqt57LHHzIQJE8wHH3xgnnzySWO1Wo3VajXjx4936JcXsaRx5X2UnivFAtM+535+fg6fsex06dLFvv0lS5bkqC+AootEAAB4gCsHfp999pm93XPPPeewPu2Ep1KlSuaee+4xFy5csK9LTU01tWvXzpAISDt49PHxcTi4S01NNc8884yRZMqVK2eOHz/uMN7KlSuN1Wo1ksynn37qsP6XX34x/v7+RpLZtm1bhnXLli0zFovFWK1Ws3TpUoe+Q4YMsScDDhw4kGFd2olRu3btHPolJSWZG264wWkF78aNGxtJTk9sd+zYYQIDA03VqlUd1rkiKirKfhLlzP33359lBf3k5GQTFBRkhg0b5rR/VokAd/crNjbWXhV8yJAhDuuXLl1q//1+8803TuNyRfokSPqTuvROnDhh/Pz8zAsvvOCwbsOGDfb+LVu2zPH4PXr0sPefNWuW0zae+Pyl387jjz9uEhISnL5ymgg4d+6cqVq1qn3bAQEB5q677vJYFfedO3ea4sWLG0nmzTffdFi/Z88eU7ZsWafvg127dtn7OnsPffLJJ/aT7KuTeidOnLD33bx5c6Z9nf2sPFmpv0+fPkaSmTlzpsO6FStW2JMBGzdudNo/L2cNyOp9lP41ceLELBMBsbGx9vXXX399juN555137P1HjRrlgT0EUBSQCAAAD8juRCQxMdHUqlXLfmVu7969Dm3SX/ncsWOHw/ro6Gj7QVxiYqIJDg42kkzXrl2djnn69GkTEhJiJJlu3bplWHf58mVTo0YNI8lERUVlul+9evVySARcvnzZVK9e3UgyzzzzjNN+KSkpplKlSkaSefbZZzOsu+2224wkM3HiRKd9p06d6nBQfvr06UyvyKfp3Lmz24mADz74wH61LSkpKcO6M2fOGH9/f/vV+UaNGjn0X7ZsmZFktmzZ4nT7mSUCcrNfTz/9tJFkqlevbi5fvuy076OPPmokmTp16rh94pmQkGB8fX2NJBMWFuZ0rI8++shIcnoFdeHChfZ9fPjhh3M8fv/+/e39M3vPeOLzl3472b1ykggwxpjvvvsuQ//ly5fnqH9W0v5u1K5dO9PpGN977z2niYBmzZrZ75DI7D2Utv1atWpl2H7aPpUtWzbT2CpVqnRNEgE33HBDpuuffPJJI8k89dRTTtfnZSLAnZezRMCOHTvs6xs0aJDjeCZMmGDvP2DAAA/sIYCigBoBAOBBycnJ+vfff+2vw4cPa8GCBbr77rv1999/y9fXV5999pmuv/76TLdRu3Zte7X29J5//nkNGjRIkvTFF1/Yn93v3Lmz0+2EhISobdu2kq7UGzh9+rR93ZIlS/TPP/9IktNnutO0b99eZcuWla+vb4a++/fvlyQ99thjTvv5+voqKipKkjRnzhzZbDb7utTUVEnSunXrnPbt2LGjli9frvLly9uXpe+fWb/hw4fryy+/zHRfspL23HpKSoqWLl2aYd2SJUt06dIle7G3TZs2OdQ/WLhwoSpVqqT69evnaFx39+vUqVP2Z/Y7deqU4fn39Fq1aiVJ2rNnj7Zu3Zqj2NJcd911atmypSQpPj5eK1ascGjz1VdfqXr16rrjjjsc1qWvMVG8ePEcj5++T2JiYpZtPfH5k65MvbZ8+XKnL3c8+OCDatKkif37tJoJubVz5079/PPPkq58FjObjvHBBx9U2bJlM0w1t2vXLq1evdreN7P3UNrfl7///jvDZyPtc3zy5Ent2rXLad9vv/3WPm1jXhkxYoT9Z+BMw4YNJV0ptnetZfU+Sv/KbvrIa/kZAuA9fLNvAgBw1ezZs50WVbNarWrRooVGjhypxo0bZ7mNG264IdtxfvrpJ/vXDRo0yLRdgwYN9NVXX+nSpUtav3692rRpI0latWqVvU1WJ6/333+//v333wzL0vcNDw93WJ8mrZp6UlKS9u7dq7p160qS7rrrLu3YsUNz5szR5cuX9eqrr6pRo0b2fmXKlNG9997rsK0bbrhBf/75p1588UX9888/6t27t6pXr25vU7NmzQyV4XOiZs2a9u1///339mnrpCsn+ZGRkerRo4eGDRsmY4y9OFma77//Xg888ECOx3V3v3755Rd7wbvq1atn+jsoWbKk/euYmJgs3ytZefLJJ7V48WJJV07677//fvu6o0ePau3atRo8eLDTvsHBwfavL1y4kOOx0/dxNlVfep74/ElShQoVHN6DubF//35t3rzZ/v3cuXO1YsWKXI/h6uf4hhtucHiP5ORvSPrxWrduLUmKjIxUsWLFdOnSJbVo0UJDhgzRU089pVKlStnbp52E56W0YpJpLl68qHPnztmLFKYVa4yLi8vzWK7m6vvoyJEjWa6/lp8hAN6DOwIAwIOuvgK0YsUKbdq0SSdOnNDKlStdOglJf9CXmbTpz9JmCchMpUqVHPpc/XXFihWzHc/Z2JJ06623KjQ01Olr/Pjx9nbpr6APGzZMN910kyRp/vz5aty4sWrUqKEBAwbYq6o7M3XqVJUuXVqXLl3S2LFjVaNGDd1+++0aNWpUptPBHT16VH///bfDy1kl9LS7AhYtWmS/Up+amqpFixapXbt2Ga74L1y40N7v999/18GDB3NUDT+3+5V++fPPP5/p7+DRRx+1t8tqFofstG/f3n5V8Ztvvskwi8GsWbNks9kyvbMkNDTU/rU7VyPTXw1Nvy1nPPH5ywvPP/+8jDEZTgr79u2bq9kLJM99jtP/nbhaZn9DwsPDNW7cOPn4+Oj48ePq27evypUrpzZt2mjq1Kk6efJkjuLJjbVr16pTp04KCwtTYGCgrrvuOvtnIG0KyuTk5GsWj6ddy88QAO/BHQEA4EGeuJKY2e296aVNAZXdXNLp16c/GEw/hZSr81E76/vdd9+5dKtq2om/JIWFhWnTpk2aMmWKpkyZor///lv79+/X+++/r/fff1833XSTPvjgA4efY9qdBB988IGmT5+ukydPKiYmRjExMXr99dfVpk0bTZgwIcPV886dOzu9bbhq1ao6cOBAhmXt2rXTmDFj9O+//2rDhg2666679Msvv+jEiRP26boeeOABbd26VStWrNCFCxcUGBio77//XsWLF7c/CpFT7uxX+t/BiBEjnN6Sf7Vq1aq5FZ905c6Cdu3aac6cOTpz5ox++OEH+10Ts2bN0q233qqIiAinfW+66Sb5+vrq8uXL+vvvv3M89l9//WX/OrsrzJ6+ku9M2pVmV82ePVtLlizR6NGj1bVrV9WtW1enTp3S7t27NW7cOPvjPu7w1Oc4q76Z/Q2RrsxR36hRI40bN07ffPONLl26pMWLF2vx4sXq27evevbsqXfffTfDnSme9t5779nvRmndurXat2+vKlWq2B9nWrZsmcaOHZtn418L5cuXV/ny5RUXF6eDBw/q8uXLGR7Xyk5OPkMAvEj+ligAgKJBbhYRSy+tKJcr20gruBcYGJhlu9mzZzsttJZ+ei9nMwpkJX3f2NjYHPV1ZuPGjaZ///6mXLly9u1arVazbNmyTPtcunTJ/PDDD6Zz5872In6SzHXXXWfi4uLs7dIXYEz/clZ87/Lly/bq6gMHDjTGXClUV6VKFXubmJgY+zYWLlxojLlS9f+hhx7Kch/T+jibNcCd/Ro/frx9XWaV9D0tfcG7Dh06GGOM2b17t5FkRo8enWXfO++800gyFovFnDp1yuUxU1NT7b+TrApBeuLz58ntpDl16pQpV66cadCggb0YX1o1fUmmePHi5tChQ25v/+WXX7ZvK7Oq+LntGxcX51Kxx1OnTpnPPvvMREVFGYvFYu/TpEkTh0KVnirQt23bNvtYzmasMCbj1HzO5GWxQE9OH5hW9FCS+e2333IUT9r/i4CAgAyz0QDwbjwaAACFUK1atSRdefYzfRHAqx09etT+dforymn9JenYsWNujS1Jhw4dylFfZ26//XaNGzdOhw4d0tixY2WxWGSz2TRkyJBM+/j5+alt27b64osvdOjQIXtBs3///Vfvv/++vd3q1atlrsyQk+F19d0AkuTj42N//vmHH36QdOXZ//S3/Ddo0EAVKlSwr4uPj9emTZvcfizA3f3y9O/AFa1atbI/j71o0SIlJibqq6++ksVi0RNPPJFl3549e0qSvb6Cq9LuyJCk5557zs3I889rr72mEydO6NNPP7UX4+vevbuaNm0qSTp//rxeeuklt7fvqc9xVn0z+xtytVKlSqlbt25asWKF/vjjD912222SpDVr1mjJkiU5is1V8+bNs9+h0a9fvzwZo6BI+wxJGR9Nys7hw4e1bds2SdIzzzyT4ztHABRdJAIAoBBq3ry5/estW7Zk2i6tUnyxYsV055135rj/ypUr1alTJ82cOdNp340bN2baNzk5WWXLllXZsmUzPAs9btw4h8r8aTG+8sor9lvO//jjD/u606dPa8iQIdq7d69Dv+uuu07Tpk2zPyOdvl9OpZ3Q79y5U4sWLdJff/2V4STfYrHYiwL+8MMP+v7772WMsc/OkFPu7tedd96pYsWKScr6dyBJbdq0ka+vr2JiYtyKMU2xYsX08MMPS7ryu12wYIFmzZqle+65R5UrV86y71NPPaU6depIkiZNmuTymGltQ0ND9cILL7gZed74/fff9cADD2jlypVO169bt06ffPKJXnvtNd1666325RaLRR999JG9gv+CBQucfh5c4erneMeOHerUqVOGZFJO/4Zc3Wfbtm0aMmSI0zoHERER+uKLL+zfX/2ZtFgsmY6XE/Hx8favM6tzkP4RCGc8FUtea9q0qf3xo08++cTlmgdpn6GAgIBMC3oC8E4kAgCgEOrcubO9+vNXX33ltE1SUpL96utTTz2VoVr0/fffb7+6l1l/6cpB5Pz58+1Xwa/uO2PGjEz7zps3TydPnlTHjh3tlbslaeLEifrkk08y7Zc2Vvrq46dPn9bIkSMznb7Nz89P1113nUO/nLr//vvtsfbt21dBQUEZTn6k/0sWxMbG6t1331VkZGSGqQ5zwt39KlWqlP1ugSVLlmRaCPDgwYNatmyZatas6ZFng9MXBBw+fLj++uuvLKefTOPj46M5c+aoePHi2rhxo6ZMmZJtn0WLFunrr7+Wj4+PvvrqKwUFBeUqdk87ceKEfvzxRx0+fNhh3aVLl9SzZ0/VqVNHb731lsP6OnXq6PXXX7d/37dvX126dCnHMdxwww329+ecOXPsU/pdbdq0aZo/f36GQqSu9k37+1CrVi3dd9999uW//fabRo4c6TSJJSnD34yrP5Pp64qkTyT897//Vd26dbV9+3an28xqjMziyG7aTE/Fci3MmDFDYWFhOnjwoNP31dW2bdumCRMmSJKmTJmSqzohAIqg/HsqAQCKDl3jGgHGGDN9+nQjyfj6+jo8T5+ammq6detmJJly5co5rQOwcuVKY7VaM312fe7cuUaSueOOO7Ls+/bbbzus37NnjylbtqwJCgoyBw4cyLCuatWqplixYiYmJsah38mTJ0316tWNJPPiiy/al+/fv99IMjVq1HD6jHlMTIzx9fU1ksw333zjsD4noqKisnwm+vz58xme33e2/1dLa3v1zzk3+xUXF2evq9C2bVtz8eLFDOuTkpLsz+bPnz8/2xhdkZqaaipVqmTfHz8/P3PixAmX+y9cuNAEBgYaHx8fM378eJOamuq03axZs0yJEiWMr6+v+eSTT7Ldric+fzndTtqz5c4+OyNGjDBWq9WsW7cu0/7JycnmhhtusI/5zjvvuBXzrl27TPHixY0kM3ToUIf1v/zyi/Hz8zPVq1c358+fz1HftGfXrVarw7Praes6derk9Pf44Ycf2uuYHD16NMO6EydO2J/tX7FihX1569atjSSH9pnZvn27fTtt2rQxKSkpGdavX7/e/vnJ7JDXU7Gkl9P3oys1AtL8+uuv9roZgwcPNsnJyU7bLVu2zISFhRlJZtiwYTncAwDegFkDAMBNO3bs0I4dOzIs++eff+y3xNasWdOlau7ffvutzp49a7+qm34bt9xyi2655Ran/bp06aITJ07otddeU5s2bdSlSxc1btxYZ8+e1ezZs7Vx40ZVrlxZixYtUlhYmEP/Fi1a6KuvvlLXrl3VrVs3LVq0SC1atFBycrLWrVun+fPnq0aNGk7nZU/f980339RPP/2khx56SMWKFdOOHTs0ffp0+fn5ad68eapatWqGvkFBQTp48KDuuusuPfHEE6pXr55KlCih/fv3a+bMmTpy5IjuvPNOvf322/Y+xYoVk7+/v/755x/VqlVLXbp00fXXX6/U1FT9/vvv+uKLL3T58mW98MILat++fbY/86y0a9fOfru3s2f/AwMDFRUVZb/bIrP6AMePH3e40r9hwwb5+vqqXLlyatmyZa72q1y5clqxYoXatGmjH3/8UbfccouefvpplS9fXvv27dOMGTMUFxenkSNHqmPHjrn6maSxWq16/PHHNW7cOElX7qC4eh73rLRr105r1qzRf/7zH7344ouaOHGi2rdvrxo1asjHx0eHDh3SDz/8oN9++001a9bURx99lOlsDJ76/G3atElr1qzJsGznzp3673//m2W/q6d2/Oeff7R+/XpdvHhR7777rurVq6f9+/dr//79euqpp5y2bdGihf78809J0siRI1WhQgX7Yzw1atTINnbpypX9H3/8UR07dtTw4cO1YcMGtWvXThaLRVu2bNHMmTNVqlQpLViwQIGBgU77dujQwd73wQcflK+vr3766Sd9/fXXCggI0PTp09WsWbMMfdNmApg3b55uuukmPfLII6pcubKSkpK0Zs0aff/99/Lz89Onn37qMLVhmTJl1LZtW/3www965ZVX9Nxzz2nXrl1asmSJ7r//fpenQrz11lv11ltvafjw4Vq0aJHq16+vxx57TGXLltW2bds0bdo01ahRw363QNp7o0OHDipRooRHY8nu/Zh+zDRpf/vTT5u6fPlyHTlyxP434mqNGjXSr7/+qu7du2vUqFH6/PPP1aFDB9WpU0cBAQE6duyYli5dqvXr16t8+fKaNWuWHn/8cZf2AYCXye9MBAAUVkOHDnVakV45vBpUtWrVTLfh7Crd1X7//Xfzn//8x1SrVs34+/ub4OBg07BhQ/Puu++aM2fOZNv/wIEDpl+/fqZOnTqmePHiJiAgwNx0003mrbfeMomJiTnuW7duXfPiiy+agwcPOu1z8eJFM3v2bNO5c2dTt25dU7x4cePj42PKli1rWrRoYT7++GOHK3vGGJOQkGAmTpxoHnjgAVOlShXj7+9vihUrZsLDw83DDz9sli5dmu2+umLfvn32q6Dx8fFO23z00UdGUoYZBa6Wvhr51a+mTZt6bL/OnDljRo0aZSIjI01wcLDx8/Mz4eHh5oknnjAbNmxw62eQla1bt9r346uvvnJrG6mpqWbu3Lmmc+fOplatWqZkyZImMDDQVKtWzXTs2NFMnz7dXLp0KctteOrzN2rUqCy3k90r7Y6A9Fd1r35dLau26beZEwkJCeb11183N998sylRooTx9/c3tWvXNi+99FK2s3tc3TcwMNDUrl3b9O3b1+GOnvT+/PNPM3ToUNOkSRMTFhZmfH19TUBAgKlTp4557rnnzK5duzLte+LECdOtWzdTrlw5+x0L/fr1M6dPn87xvn///femZcuWplSpUsbX19eEhYWZNm3amO+//97pz/rq2QE8EUt270dnMxJk9bc//d+IzCxZssT06NHD1K1b1wQHBxt/f38THh5uWrdubaKjo83Zs2ddjh+A97EYk8MJcQEAAAAAQKHFowFXOXDggOrXr68qVapkWF6lSpUcTdcCAAAAAEBBRCLAiQcffFDTp0/P7zAAAAAAAPA4pg8EAAAAAMCLFLpEwPr161WnTh1ZLBYdOHAgv8MBAAAAAKBQKTSJgAsXLmjAgAFq0qSJfRoYVy1ZskQtW7ZUmTJlVKJECdWvX1+TJk2SzWZz2n7v3r3q0KGD6tevrxtvvFF9+/ZVfHy8J3YDAAAAAIB8VSgSAfv27VO9evU0f/58LV68OEd9R48erdatWysgIEDLly/Xtm3b1LJlS/Xt21ft27fX5cuXM7T38fFRamqq3nvvPW3dulXLly/X9u3bdccdd+jUqVOe3C0AAAAAAK65QjF94MKFC7VkyRKNGTNGJUuWlMVikSTt379f1apVy7Tf2rVr1aRJE0VERGj79u3y8/Ozr+vZs6emTp2qd955R2+88UaW4+/evVs33HCDS23T2Gw2HTt2TEFBQfZ4AQAAAADIK8YYnTlzRhUrVpTVmvl1/0KRCEhNTZWPj4/9e1cTAVFRUfrpp580ZcoU9erVK8O6PXv2qG7dugoODlZcXJwCAwOzjCEkJERNmjTR999/71LMR44cUeXKlV1qCwAAAACApxw+fFjh4eGZri8U0wemTwK4KiEhQatXr5Z0JSFwtTp16ig8PFxHjhzR4sWL1bFjR0lSYmKiAgMDVaxYMYcYUlNTXR4/KChI0pVfQHBwcI7jBwoqm82mhIQEhYaGZpllBAAAKKg4nkFRlZSUpMqVK9vPRzNTKBIB7ti8ebNsNpv8/PxUs2ZNp23q1q2rI0eOKCYmxp4IePHFF9WqVSs9/vjj9nYHDx7UqVOnVK9ePZfHT7trITg4mEQAihSbzaaLFy8qODiYf5wAAKBQ4ngGRV12j6cX2UTAvn37JCnLLF+FChUytE3z3//+Vy1atFBYWJjOnTunPn36qGzZsurTp0+m4yUnJys5Odn+fVJSkqQrf2Qym50AKIxsNpuMMbyvAQBAocXxDIoqV9/TRTYRkHYintWz/8WLF5d05XGANP3799fkyZMVFRUli8WikydPqnHjxlq/fr0qVaqU6bZGjRql4cOHOyxPSEjQxYsX3d0NoMCx2WxKTEyUMYYMOgAAKJQ4nkFRdebMGZfaFdlEgLtuueUW/e9//8txv8GDB6t///7279OezQgNDeXRABQpNptNFouFZ+oAAEChxfEMiqqAgACX2hXZREDayfeFCxcybXP+/HlJV2YEyC1/f3/5+/s7LLdarfxxQZFjsVh4bwMAgEKN4xkURa6+n4vsuz6tQGBCQkKmz0nExsZmaAsAAAAAQFFXZBMBDRo0kNVqVUpKikMxwDS7d++WJEVGRnps3OjoaEVERHh0mwAAAAAAeEqRTQSEhYWpadOmkqSVK1c6rN+zZ4+OHDmioKAgtWrVymPj9unTR7t27VJMTIzHtgkAAAAAgKcU2USAJA0dOlSSNGnSJF2+fDnDunHjxkmSXn31VfvsAQAAAAAAFHWFJhGQkJCguLg4xcXFZbksvaZNm2rkyJHauXOnOnTooK1bt2rv3r0aNGiQpk6dqjZt2mjw4MHXahcAAAAAAMh3hWbWgMjISB08eDDDsttvv93+tTHGab/XX39dt912m8aNG6cWLVooJSVFtWvX1vjx49WnTx/5+PjkadwAAAAAABQkhSYRcODAAbf7tm7dWq1bt/ZcMFmIjo5WdHS0UlNTr8l4AAAAAADkRKF5NKCwoFggAAAAAKAgIxEAAAAAAIAXIREAAAAAAIAXKTQ1AgAAAIDMWCz5HQEKF6uk8vkdBAqZTOrTF0rcEeBh0dHRioiIUGRkZH6HAgAAAACAA4vJbN495EpSUpJCQkKUmJio4ODg/A4H8Bibzab4+HiFhYXJaiWXCAAoGLgjAEBeKwxnzq6eh3IUDwAAAACAFyERAAAAAACAFyERAAAAAACAFyERAAAAAACAFyER4GHMGgAAAAAAKMiYNSCPMGsAiipmDQAAFETMGgAgrxWGM2dmDQAAAAAAAA5IBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBHgY0wcCAAAAAAoypg/MI0wfiKKK6QMBAAUR0wcCyGuF4cyZ6QMBAAAAAIADEgEAAAAAAHgREgEAAAAAAHgREgEAAAAAAHgREgEAAAAAAHgREgEAAAAAAHgREgEeFh0drYiICEVGRuZ3KAAAAAAAOLAYUxhmQyx8XJ2/EShsbDab4uPjFRYWJquVXCIAoGCwWPI7AgBFXWE4c3b1PJSjeAAAAAAAvAiJAAAAAAAAvAiJAAAAAAAAvAiJAAAAAAAAvAiJAAAAAAAAvAiJAAAAAAAAvAiJAAAAAAAAvAiJAAAAAAAAvAiJAAAAAAAAvAiJAA+Ljo5WRESEIiMj8zsUAAAAAAAcWIwxJr+DKIqSkpIUEhKixMREBQcH53c4gMfYbDbFx8crLCxMViu5RABAwWCx5HcEAIq6wnDm7Op5KEfxAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBAAAAAAB4ERIBHhYdHa2IiAhFRkbmdygAAAAAADiwGGNMfgdRFCUlJSkkJESJiYkKDg7O73AAj7HZbIqPj1dYWJisVnKJAICCwWLJ7wgAFHWF4czZ1fNQjuIBAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAIAAAAAAPAiJAKykJKSolq1aqlatWr5HQoAAAAAAB5BIiALU6ZM0b59+/I7DAAAAAAAPIZEQCaSkpI0duxYNW/ePL9DAQAAAADAY0gEZGL06NF6/PHHVaVKlfwOBQAAAAAAjyl0iYD169erTp06slgsOnDgQJ6McfToUc2YMUOvv/56nmwfAAAAAID8UmgSARcuXNCAAQPUpEkT7d27N0d9lyxZopYtW6pMmTIqUaKE6tevr0mTJslmszlt/9Zbb6lfv34qXbq0J0IHAAAAAKDAKBSJgH379qlevXqaP3++Fi9enKO+o0ePVuvWrRUQEKDly5dr27Ztatmypfr27av27dvr8uXLGdrv3LlTP/30k/r16+fJXQAAAAAAoEDwze8AXLFz505FRUVpzJgxKlmypMv91q5dq0GDBikiIkILFiyQn5+fpCvJgVOnTmnq1KkaPXq03njjDXufgQMHaujQoQoICPD4fgAAAAAAkN8KxR0Bbdu21eTJk3OUBJCkYcOGSZL69u1rTwKkGTBggCRpzJgxunDhgiRp9erVOnjwoJ555pncBw0AAAAAQAFUKO4I8PHxyXGfhIQErV69WpIUFRXlsL5OnToKDw/XkSNHtHjxYnXs2FE//fSTLly4oPr169vbHTp0SGfPnlW9evUkSZs2bVKxYsXc2g8AAAAAAPJboUgEuGPz5s2y2Wzy8/NTzZo1nbapW7eujhw5opiYGHXs2FEjRozQiBEjMrTp2rWrVq9ere3bt2c5XnJyspKTk+3fJyUlSZJsNlumRQmBwshms8kYw/saAFDAFIobXQEUYoXh+NfVGItsImDfvn2SpNDQUFmtzv8xVKhQIUPb3Bg1apSGDx/usDwhIUEXL17M9faBgsJmsykxMVHGmEw/WwAAXHvl8zsAAEVcfHx8foeQrTNnzrjUrsgmAtKuyAcGBmbapnjx4pKkxMREh3Vffvmlxo4dm+HRgObNm+uDDz5wuq3Bgwerf//+GcavXLmyQkNDFRwcnJtdAQoUm80mi8WSZZINAAAAKGrCwsLyO4RsuVr0vsgmAnKrc+fO6ty5s8vt/f395e/v77DcarVysoQix2Kx8N4GAACAVykMx76uxljw98RNaVfh02YEcOb8+fOSpJCQkGsSEwAAAAAA+a3IJgLSCgQmJCRkWjAhNjY2Q1tPiI6OVkREhCIjIz22TQAAAAAAPKXIJgIaNGggq9WqlJSUTIsB7t69W5I8etLep08f7dq1SzExMR7bJgAAAAAAnlJkEwFhYWFq2rSpJGnlypUO6/fs2aMjR44oKChIrVq1utbhAQAAAACQL4psIkCShg4dKkmaNGmSLl++nGHduHHjJEmvvvqqffYAAAAAAACKukKTCEhISFBcXJzi4uKyXJZe06ZNNXLkSO3cuVMdOnTQ1q1btXfvXg0aNEhTp05VmzZtNHjwYI/GSY0AAAAAAEBBZjHGmPwOwhXVqlXTwYMHM12f1W4sXrxY48aN0+bNm5WSkqLatWurW7du6tOnj3x8fPIiXCUlJSkkJESJiYn2GQyAosBmsyk+Pl5hYWGFYgoVAIB3sFjyOwIARV1hOHN29Ty00CQCChsSASiqSAQAAAoiEgEA8lphOHN29TyUo3gAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAPY9YAAAAAAEBBRrHAPEKxQBRVFAsEABREFAsEkNcKw5kzxQIBAAAAAIADEgEAAAAAAHgREgEAAAAAAHgREgEeRrFAAAAAAEBB5nYiYM2aNbp8+bInYykS+vTpo127dikmJia/QwEAAAAAwIHbiYDmzZvr1KlTnowFAAAAAADkMbcTAcYYPfDAA/rss890/vx5T8YEAAAAAADySK5qBNSvX19vvPGGKlSooJ49e2rz5s2eigsAAAAAAOSBXCUChg8frsOHD2vatGk6evSoGjdurHr16mny5MlKTEz0VIwAAAAAAMBD3E4E7N+/X6GhofL19VXHjh31448/6sCBA+rYsaPGjh2rihUrqmvXrlq3bp0n4wUAAAAAALlgMcYYT2/UGKN58+apZ8+eSkpKUu3atfXss8/qmWee0XXXXefp4QqkpKQkhYSEKDExUcHBwfkdDuAxNptN8fHxCgsLk9XKDKQAgILBYsnvCAAUdZ4/c/Y8V89DPX4U/8svv6hbt27q1q2bEhMTZYxRXFyc/ve//yk8PFxPPPGE/vjjD08PW2BER0crIiJCkZGR+R0KAAAAAAAO3E4E+Pj4KD4+XpL077//aty4cYqIiFCTJk30+eef6/z587rnnns0Y8YMxcbGau/evVqxYoV8fX11++236+uvv/bYThQkffr00a5duxQTE5PfoQAAAAAA4MDX3Y7GGC1fvlzfffedFi5cqJSUFBljFBYWpmeeeUY9evRQ7dq1M/S5++67dffdd+vBBx/UG2+8oUcffTTXOwAAAAAAAFzndiJAkp555hkZY2S1WnX//ferR48eevDBB+Xrm/Vmb731Vh06dCg3QwMAAAAAADfkKhFQuXJldevWTd27d1flypVd6rN8+XINHjxYZcuWzc3QAAAAAADADblKBGzatElhYWE56nP+/Hndcccduv7663MzNAAAAAAAcIPbiYBp06YpJCQkx/0eeughPfTQQ+4OCwAAAAAAcsHtWQO6dOmivXv3aseOHdq5c6fD+h9++EFxcXG5Cg4AAAAAAHiW24mAdevWqV69errtttvUpEkTh/Xjx49X1apVNXXq1FwFWNhER0crIiJCkZGR+R0KAAAAAAAO3E4EzJo1S35+fho5cqTTOwI+++wzvfTSS+rdu7dWrlyZqyALkz59+mjXrl2KiYnJ71AAAAAAAHDgdo2AtWvX6s0339SgQYOcrq9cubJGjx4tq9WqMWPGKCoqyu0gAQAAAACAZ7h9R8A///yjBx98MNt2TzzxhH7//Xd3hwEAAAAAAB7kdiLAZrMpKCgo23bBwcE6ffq0u8MAAAAAAAAPcjsRULVqVS1btizbdsuWLVPVqlXdHQYAAAAAAHiQ24mAhx56SK+99poWLFiQaZt58+Zp4MCBat++vbvDAAAAAAAAD7IYY4w7HU+dOqV69erpyJEjqlChgho2bKjQ0FBJUkJCgjZv3qzY2FhVrlxZ27ZtU+nSpT0aeEGXlJSkkJAQJSYmKjg4OL/DATzGZrMpPj5eYWFhslrdziUCAOBRFkt+RwCgqHPvzPnacvU81O1ZA0qXLq0VK1bo4Ycf1h9//KGFCxfK8v//AqflFm666SbNnz/f65IAAAAAAAAUVG4nAiTp+uuv1/bt2/Xdd99p2bJlOnjwoKQr9QPuu+8+PfTQQ1wxBAAAAACgAMlVIkCSrFarOnTooA4dOngiHgAAAAAAkIfy/HL9uXPnNGLEiLwepsCIjo5WRESEIiMj8zsUAAAAAAAcuF0s0FXHjx9XxYoVlZqampfDFDgUC0RRRbFAAEBBRLFAAHmNYoH/37FjxzR9+nRt375dp06dcnqyf+nSpdwMAQAAAAAAPMjtRMCmTZvUsmVLnT17VtndVGAhRQsAAAAAQIHgdiJg4MCBunz5sl566SU1atRIZcqUkZ+fn0O7EydO6JFHHslVkAAAAAAAwDNydUfAxIkT1b179yzbHT9+PNs7BgAAAAAAwLXhdqWvYsWKqXnz5tm2K1eunGw2m7vDAAAAAAAAD3I7EXDPPffo8OHD2bZLSUnRmjVr3B0GAAAAAAB4kNuJgPfee09vvfWWjh49mmW7kydPunTnAAAAAAAAyHtu1wiYN2+eKlWqpBo1aigqKkq1atVS2bJlHWYIOHv2bK6DBAAAAAAAnmExblbys1qtslgsWRYCTFtvsViUmprqdpCFUVJSkkJCQpSYmKjg4OD8DgfwGJvNpvj4eIWFhclqdfumIgAAPIrZqgHktcJQA9/V81C37wiQpP79+6tkyZJZtjlz5ow++OCD3AwDAAAAAAA8JFd3BMTFxSksLCzLdnFxcapYsaLXzRzAHQEoqrgjAABQEHFHAIC8VpTuCHD7KH7mzJkqVapUtu3Kli2rVatWuTsMAAAAAADwILcfDejcubNL7fz8/NS0aVN3hwEAAAAAAB6U6/t6L168qJkzZ6pXr15q166d4uLiJElff/21Tpw4kesAAQAAAACA5+SqWODq1av15JNP6vjx4/bZAc6fPy9JGjVqlLp166aZM2eqY8eOHgm2MIiOjlZ0dLTXzZIAAAAAACgc3L4jYO/evXrggQd0/PhxNW7cWJ07d5afn599/TfffKMnnnhCjz32mLZt2+aRYAuDPn36aNeuXYqJicnvUAAAAAAAcOD2HQGjRo1SSEiI1q9fr1tuuUWS9O2339rXV6tWTZ988olSU1M1evRozZ49O9fBAgAAAACA3HH7joCffvpJH3zwgT0JkJnevXtzdRwAAAAAgALC7URAXFycGjRokG278uXL69ixY+4OAwAAAAAAPMjtREBISIgOHjyYbbudO3eqVKlS7g4DAAAAAAA8yO1EwJ133qlBgwbpwoULmbZJSkrSkCFDdPfdd7s7DAAAAAAA8CC3iwW+8soratq0qWrUqKEePXqoQYMGstls2rp1q3bu3KlNmzbps88+U3x8vKZMmeLJmAEAAAAAgJssxhjjbucJEyaof//+ymwTFotFEydOVO/evd0OsLBKSkpSSEiIEhMTFRwcnN/hAB5js9kUHx+vsLAwWa1u31QEAIBHWSz5HQGAos79M+drx9Xz0Fwdxffr108///yz2rRpo8DAQBljZIxRYGCgHnjgAa1bt84rkwAAAAAAABRUbj8akOauu+7S999/L5vNpn///VeSdN1113GlEAAAAACAAsjtRECLFi0kSWXKlNG8efNktVoVFhbmscAAAAAAAIDnuX3ZfvXq1YqNjdX999/vyXgAAAAAAEAecvuOAF9fX82cOVMNGzb0ZDwAAAAAACAPuX1HQKVKlVS2bNls29lsNh06dMjdYQAAAAAAgAe5nQho3769fvzxx2zbJSQkqHr16u4OAwAAAAAAPMjtRMCIESM0e/ZsTZkyRcnJyVm2NYVhwsX/b9u2bXr22Wd16623ql69eqpdu7b+85//6Pjx4/kdGgAAAAAAueZ2jYCHHnpINptNL7zwgl577TVVrVpVoaGhslgsGdpdunTJYVlB9uWXX+q3337TTz/9pLJly+rEiRNq0aKFHnnkEa1Zsya/wwMAAAAAIFfcTgSsXr3a/vW5c+e0a9euTNsWpkRAzZo1FRUVZa9/ULZsWXXv3l0vvfSSTp8+rVKlSuVvgAAAAAAA5ILbiQBJmj9/vsqUKZNlmxMnTuiRRx7JzTAZrF+/Xt26ddPevXu1f/9+VatWzWPblqTevXs7LDtz5owCAwNVokQJj44FAAAAAMC1lqtEwF133aWwsLAs2xw/ftwjNQIuXLigIUOGaPz48UpNTc1R3yVLlmjcuHHasmWLkpOTVadOHXXv3l3PP/+8rNasyyRs2LBBkydP1tixY+Xn55ebXQAAAAAAIN+5XSxw7dq1On/+vI4ePZplu3Llyslms7k7jCRp3759qlevnubPn6/FixfnqO/o0aPVunVrBQQEaPny5dq2bZtatmypvn37qn379rp8+bLTft98840qVKig5s2b64UXXlCvXr1ytQ8AAAAAABQEFuPm5XofHx9JV070jx075tGgrrZw4UItWbJEY8aMUcmSJe01B7J7NGDt2rVq0qSJIiIitH379gxX9Hv27KmpU6fqnXfe0RtvvJHpNvbu3asnnnhCISEhWrp0qct3BSQlJSkkJESJiYkKDg52bUeBQsBmsyk+Pl5hYWHZ3lEDAMC1UohKUgEopArDZHiunoe6fRRvjFHv3r21e/dudzfhsrZt22ry5MkqWbJkjvoNGzZMktS3b1+HE/gBAwZIksaMGaMLFy5kuo3atWtr8uTJWrVqlaZPn56j8QEAAAAAKGjcTgSUKFFCAwYMuCZXu9PuPsiJhIQE+8wGUVFRDuvr1Kmj8PBwJSUlZXjc4Pz58w5tb775ZknS9u3bcxwHAAAAAAAFiduJgIiICJ06dSrbdufOndOIESPcHcZtmzdvls1mk5+fn2rWrOm0Td26dSVJMTEx9mURERE6fvx4hnaHDh2SpGxnSAAAAAAAoKBze9aAfv36acyYMZo9e3aW7c6ePavhw4frrbfecncot+zbt0+SFBoamulzzBUqVMjQNs3rr7+u6OhoBQQEKCkpSf3791eJEiXUpUuXTMdLTk5WcnKy/fukpCRJV56nzm2xRKAgsdlsMsbwvgYAFDDUrQGQtwrD8a+rMbqdCLjnnnu0fv16NW7cWC+88ILq1q2r0NBQeyG/NPHx8e4OkStpJ+KBgYGZtilevLgkKTEx0b4sOjpan376qRo0aCBfX18lJyfr1ltv1caNG1WrVq1MtzVq1CgNHz7cYXlCQoIuXrzo7m4ABY7NZlNiYqKMMRQLBAAUIOXzOwAARVx+ndvmxJkzZ1xq53YioFq1avaT/qyulBc2bdu2Vdu2bXPcb/Dgwerfv7/9+6SkJFWuXFmhoaHMGoAixWazyWKxZHm3DQAAAFDUhIWF5XcI2QoICHCpnduJAEmqVKlStoX8UlNTdfTo0dwM45a0k++sZgRIKwwYEhKS6/H8/f3l7+/vsNxqtXKyhCLHYrHw3gYAAIBXKQzHvq7GmKtEwObNm7PNisTFxalixYq5GcYtaQUCExISZLPZnP5AYmNjM7QFAAAAAKCoczulERUV5fQK+NWKFy+eL48ONGjQQFarVSkpKQ7FANPs3r1bkhQZGemxcaOjoxUREeHRbQIAAAAA4CkWY4zJ7yByKq02wf79+1WtWrVM27Vo0UKrVq3SlClT1KtXrwzr9uzZo7p16yooKEhxcXH2woGekpSUpJCQECUmJlIjAEWKzWZTfHy8wsLCCsXtUQAA73BVvWoA8LjCcObs6nlonh/FJyUl6ZlnnsnrYZwaOnSoJGnSpEm6fPlyhnXjxo2TJL366qseTwIAAAAAAFBQ5Xki4MKFC/ryyy9zvZ2EhATFxcUpLi4uy2XpNW3aVCNHjtTOnTvVoUMHbd26VXv37tWgQYM0depUtWnTRoMHD851bAAAAAAAFBZuFwts0aKFS+0uXbrk7hAZREZG6uDBgxmW3X777favM3vC4fXXX9dtt92mcePGqUWLFkpJSVHt2rU1fvx49enTJ9tZD3IqOjpa0dHRSk1N9eh2AQAAAADwBLdrBLjybLDFYpExRhaLxetOjKkRgKKKGgEAgIKIGgEA8lpRqhGQq+kDFyxYoNKlS2dYZoxRQkKC9u3bpxkzZqh58+Z67LHHcjMMAAAAAADwkFwlAu68806FhYVlun7gwIF66qmndObMmdwMAwAAAAAAPMTt+3ptNluWSQDpyqMBAwcO1DvvvOPuMAAAAAAAwIPy/AHfYsWK6ffff8/rYQqM6OhoRUREKDIyMr9DAQAAAADAQZ4nAr744gsFBgbm9TAFRp8+fbRr1y7FxMTkdygAAAAAADhwu0bAiBEjMl2XmpqqU6dOafPmzdq4cSPFAgEAAAAAKCDcTgQMGzbMPj1gVm655Ra9//777g4DAAAAAAA8KFezBvTv318lS5Z0WO7j46OQkBDVq1dPd999tyxM7AoAAAAAQIGQq0TAq6++mu3MAQAAAAAAoOBwu1jg999/r9KlS3syliKBWQMAAAAAAAWZxWT3kD/ckpSUpJCQECUmJio4ODi/wwE8xmazKT4+XmFhYbJa83ziEQAAXMKTqADyWmE4c3b1PDRHjwasWLFCx44dkySVLFlSHTt2dNpu6dKl2rVrl1544QX5+fnlZAgAAAAAAJCHXE4EJCcnq1OnTjpz5oyMMbrxxhszTQTExcVpwIABmjlzphYtWqTy5ct7LGAAAAAAAOA+l+/rXbp0qZKSklS5cmUtWLBAv/32W6Zt77//fvXs2VN//PFHpskCAAAAAABw7bmcCFi+fLlCQkK0fv16tW/fPstng8uXL6///e9/+vrrr7VlyxbNnj3bI8ECAAAAAIDccTkRsGXLFvXp00cVK1Z0eePt27fXU089pVmzZrkVHAAAAAAA8CyXEwF//fWX7r333hwP8OSTT2rLli057ldYMX0gAAAAAKAgczkRkJiYqKpVq+Z4gOrVqyshISHH/QqrPn36aNeuXYqJicnvUAAAAAAAcOByIiAoKEiXL1/O8QCpqakKDAzMcT8AAAAAAOB5LicCqlatqh07duR4gN9++01VqlTJcT8AAAAAAOB5LicCWrRoocmTJ+d4gClTpigqKirH/QAAAAAAgOe5nAjo2bOn1qxZo0GDBrm88ddee01r1qzR888/71ZwAAAAAADAs1xOBNSuXVsvv/yyxowZo8jISM2YMUNHjhxxaHfkyBHNmDFDDRs21Lhx4/Taa6/p+uuv92jQAAAAAADAPRZjjHG1sc1mU+fOnTVnzhxZLBZJUvHixRUSEiLpyswC58+flyQZY9S1a1d9+umn9rbeJCkpSSEhIUpMTFRwcHB+hwN4jM1mU3x8vMLCwmS1upxLBAAgT3nh4SaAa8z1M+f84+p5aI6O4q1Wq2bNmqWJEycqLCxMxhidO3dOx44d07Fjx3Tu3DkZY1SuXDl9/PHH+uyzz7wyCQAAAAAAQEGVozsC0ktOTtbPP/+sX3/9VcePH5fFYlG5cuV0xx13qEmTJipWrJinYy0UoqOjFR0drdTUVO3du5c7AlDkcEcAAKAg4toTgLxWlO4IcDsRgKzxaACKKhIBAICCiEQAgLxWGM6c8+TRAAAAAAAAULiRCAAAAAAAwIuQCAAAAAAAwIuQCAAAAAAAwIuQCAAAAAAAwIuQCAAAAAAAwIuQCAAAAAAAwIu4nQg4dOiQTBYTKZ4+fVqPP/64Pv744yzbAQAAAACAa8ftRED16tWVkJCQ6XpjjP788089//zzevPNN90dBgAAAAAAeJDbiYDsrvKXLl1av/32m7788kt9+eWX7g5T6ERHRysiIkKRkZH5HQoAAAAAAA7yvEZAw4YNFRsbm9fDFBh9+vTRrl27FBMTk9+hAAAAAADgwNfVhjt27ND27dszLPv6668VHBycaZ9z585pwYIFKleunNsBAgAAAAAAz3E5EfDNN99o+PDhslgs9mUvvvhitv2MMRo+fLh70QEAAAAAAI9yORFQr149denSRdKVk/uZM2fqkUceUWBgoNP2VqtVpUqVUtOmTfXggw96JloAAAAAAJArFuPm3H5Wq1VxcXEKCwvzdExFQlJSkkJCQpSYmJjl4xNAYWOz2RQfH6+wsDBZrXleZgQAAJeku2kVAPKEe2fO15ar56FuH8VPmzZNISEh7nYHAAAAAAD5wO1EQJcuXeTv759tu3PnzmnEiBHuDgMAAAAAADwoz+/rPXv2LMUCAQAAAAAoIFwuFrh69WotWLBA3bt3V7169dS9e3eX+l24cMHt4AAAAAAAgGe5nAh4+OGHdfr0aW3evFnr16/X9OnTXR7EQvUWAAAAAAAKBJcTAf3799esWbPUq1cv+7IPP/ww24KBp0+fVv/+/d2PEAAAAAAAeEyeTx94/PhxVahQQTabza0ACyumD0RRxfSBAICCiBtQAeQ1pg+UtGrVKpUpUybbdmXKlNGqVavcHQYAAAAAAHiQy48GXK1p06YutUtNTdXBgwfdHQYAAAAAAHhQnt/Xm5iYqG7duuX1MAAAAAAAwAVu3xEgSefPn9e3336r7du369SpU0pNTXVo423TB0ZHRys6OtrpzwIAAAAAgPzmdrHAvXv36t5779XRo0eV3SYsFovXnRhTLBBFFcUCAQAFEcUCAeS1olQs0O07AgYMGKBjx46pffv2atSokcqUKSM/Pz+HdkwfCAAAAABAweF2ImDNmjV677339Morr2TZ7vjx43r55ZfdHQYAAAAAAHiQ2/f1GmPUvn37bNuFhoZq//797g4DAAAAAAA8yO1EQMOGDXX69GmX2lp4aAsAAAAAgALB7UTA22+/rbfeeksXL17Msl1CQoKqV6/u7jAAAAAAAMCD3K4RsG/fPlWoUEHh4eF69NFHVatWLZUtW9bh6n9iYmKugwQAAAAAAJ7h9vSBVqtVFotFxpgsb/1PW8/0gUDRwPSBAICCiCdRAeQ1pg/8/x555BEFBgZm2eb8+fOaN29eboYBAAAAAAAekqtEwIQJExQWFpZlm7i4OM2dOzc3wwAAAAAAAA/JVbHAoKCgbNuVKlVK06ZNc3cYAAAAAADgQW7XCEDWqBGAoooaAQCAgogaAQDyWmE4c3b1PNTlo/gWLVro9OnTnogNAAAAAADkE5cTAatXr1ZKSkpexgIAAAAAAPJYjooF9uvXL8tZAnx8fFSyZElVrlxZjRo10l133ZXrAAEAAAAAgOfkKBFw6NAhFStWLNP1NptNZ8+e1aFDh3TixAnVrVtXX375pW677bZcB3qtrF+/XhMnTtS2bdvk6+srq9Wq7t2764UXXpCvb64mWQAAAAAAIN/l6Mz2m2++yXa6wDQ7d+7UsGHDdN999+n3339X+fLl3QrwWnvwwQf1+OOP648//pCvr682btyoZs2aac+ePZoyZUp+hwcAAAAAQK64XCOgadOmWd4NcLUbb7xRc+fOVf369RUdHe1WcPnBx8dH7777rv3qf6NGjfTII4/o008/1YULF/I5OgAAAAAAcsflRMCqVatUqlSpHA/w/PPPa9myZTnul5n169erTp06slgsOnDggMe2m+bw4cMO0yxUrFhRKSkpOnfunMfHAwAAAADgWsrzScBvuukm/f3337nezoULFzRgwAA1adJEe/fuzVHfJUuWqGXLlipTpoxKlCih+vXra9KkSbLZbA5tnd318Ndff6lu3bq67rrr3I4fAAAAAICCIM8TAf7+/jpz5kyutrFv3z7Vq1dP8+fP1+LFi3PUd/To0WrdurUCAgK0fPlybdu2TS1btlTfvn3Vvn17Xb58Ocv+x44d0+LFi/X222/nZhcAAAAAACgQ8rwM/vHjxxUQEJCrbezcuVNRUVEaM2aMSpYs6XK/tWvXatCgQYqIiNCCBQvk5+cn6Upy4NSpU5o6dapGjx6tN954w2l/m82mnj176umnn1anTp1ytQ8AAAAAABQELt8R8Pnnnys5OTnHAyxdulQVK1bMcb/02rZtq8mTJ+coCSBJw4YNkyT17dvXngRIM2DAAEnSmDFjMi0C2L9/f/n4+BSqYocAAAAAAGTF5URAt27dlJiYmKONb9++XePGjdMdd9yR48DS8/HxyXGfhIQErV69WpIUFRXlsL5OnToKDw9XUlKS08cN3nzzTe3Zs0dz5861zyAAAAAAAEBh5/IZrjFGGzZsUOnSpbNsc+7cOR08eFA///yzvv32W6WkpOjZZ5/1SLA5sXnzZtlsNvn5+almzZpO29StW1dHjhxRTEyMOnbsaF/+3nvvaf369frxxx/txQOHDx+uBx54QA0aNHC6reTk5Ax3TCQlJUm68niBs6KEQGFls9lkjOF9DQAoYPK89BUAL1cYjn9djTFHl7rTnyxnxxgji8Wi4cOH684778zJMB6xb98+SVJoaKisVuf/GCpUqJChrSRNmDBBo0aN0pgxYzRv3jz78pUrV6pp06aZjjdq1CgNHz7cYXlCQoIuXrzo1j4ABZHNZlNiYqKMMZl+tgAAuPbK53cAAIq4+Pj4/A4hW64W6s9RIsAYk+V6i8WikiVLqkqVKmrcuLF69OihRo0a5WQIj0m7Ih8YGJhpm+LFi0tShkceXnrpJRlj1KtXrxyNN3jwYPXv3z/D+JUrV1ZoaKiCg4NztC2gILPZbLJYLFkm2QAAAICiJiwsLL9DyJarhfpdTgRYLBbFxsYWip3PDXdv9/D395e/v7/DcqvVyskSihyLxcJ7GwAAAF6lMBz7uhqjy3uS3d0ABU3aVfjMZgSQpPPnz0uSQkJCrklMAAAAAADkN5fvCCgMhRHSSysQmJCQIJvN5jQzEhsbm6GtJ0RHRys6Olqpqake2yYAAAAAAJ5S8O9tcFODBg1ktVqVkpKSoRhgert375YkRUZGemzcPn36aNeuXYqJifHYNgEAAAAA8JQimwgICwuzV/lfuXKlw/o9e/boyJEjCgoKUqtWra51eAAAAAAA5IsimwiQpKFDh0qSJk2apMuXL2dYN27cOEnSq6++ap89AAAAAACAoq7QJAISEhIUFxenuLi4LJel17RpU40cOVI7d+5Uhw4dtHXrVu3du1eDBg3S1KlT1aZNGw0ePPha7QIAAAAAAPnOYgrJdADVqlXTwYMHM12f1W4sXrxY48aN0+bNm5WSkqLatWurW7du6tOnj3x8fDwaZ/pigXv37lViYqJ9BgOgKLDZbIqPj1dYWFihmEIFAOAdLJb8jgBAUVcYzpyTkpIUEhKS7XlooUkEFDau/gKAwoZEAACgICIRACCvFYYzZ1fPQzmKBwAAAADAi5AIAAAAAADAi5AIAAAAAADAi5AI8LDo6GhFREQoMjIyv0MBAAAAAMABxQLzCMUCUVRRLBAAUBBRLBBAXisMZ84UCwQAAAAAAA5IBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBHgYswYAAAAAAAoyZg3II8wagKKKWQMAAAURswYAyGuF4cyZWQMAAAAAAIADEgEAAAAAAHgREgEAAAAAAHgREgEAAAAAAHgREgEAAAAAAHgREgEexvSBAAAAAICCjOkD8wjTB6KoYvpAAEBBxPSBAPJaYThzZvpAAAAAAADggEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehEQAAAAAAABehESAh0VHRysiIkKRkZH5HQoAAAAAAA4sxhiT30EURUlJSQoJCVFiYqKCg4PzOxzAY2w2m+Lj4xUWFiarlVwiAKBgsFjyOwIARV1hOHN29TyUo3gAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAAAAAAALwIiQAPi46OVkREhCIjI/M7FAAAAAAAHFiMMSa/gyiKkpKSFBISosTERAUHB+d3OIDH2Gw2xcfHKywsTFYruUQAQMFgseR3BACKusJw5uzqeShH8QAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAR4WHR2tiIgIRUZG5ncoAAAAAAA4sBhjTH4HURQlJSUpJCREiYmJCg4Ozu9wAI+x2WyKj49XWFiYrFZyiQCAgsFiye8IABR1heHM2dXzUI7iAQAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCAAAAAADwIiQCsrB582bVqFFDXbt2ze9QAAAAAADwCBIBmRg/fryefPJJnThxIr9DAQAAAADAY0gEOHHw4EGtWrVKGzduVOnSpfM7HAAAAAAAPMY3vwMoiMLDw/Xtt9/mdxgAAAAAAHhcobwjYP369apTp44sFosOHDjg8e37+Ph4fJsAAAAAABQEhSoRcOHCBQ0YMEBNmjTR3r17c9R3yZIlatmypcqUKaMSJUqofv36mjRpkmw2Wx5FCwAAAABAwVNoEgH79u1TvXr1NH/+fC1evDhHfUePHq3WrVsrICBAy5cv17Zt29SyZUv17dtX7du31+XLl/MoagAAAAAACpZCUyNg586dioqK0pgxY1SyZEmX+61du1aDBg1SRESEFixYID8/P0lXkgOnTp3S1KlTNXr0aL3xxht5FToAAAAAAAVGobkjoG3btpo8eXKOkgCSNGzYMElS37597UmANAMGDJAkjRkzRhcuXPBInAAAAAAAFGSF5o4Adwr4JSQkaPXq1ZKkqKgoh/V16tRReHi4jhw5osWLF6tjx45ux5ecnKzk5GT790lJSZIkm81GHQIUKTabTcYY3tcAgAKm0FzfAlBIFYbjX1djLDSJAHds3rxZNptNfn5+qlmzptM2devW1ZEjRxQTE5OrRMCoUaM0fPhwh+UJCQm6ePGi29sFChqbzabExEQZY2S1ctAFACgoyud3AACKuPj4+PwOIVtnzpxxqV2RTgTs27dPkhQaGprpCUuFChUytHXX4MGD1b9/f/v3SUlJqly5skJDQxUcHJyrbQMFic1mk8ViyfJzBQAAABQ1YWFh+R1CtgICAlxqV6QTAWm35wcGBmbapnjx4pKkxMTEDMsfe+wx7dmzR8eOHdPChQtVr149PfLII5kWFfT395e/v7/DcqvVyskSihyLxcJ7GwAAAF6lMBz7uhpjkU4E5MacOXPyOwQAAAAAADyu4Kc0ciHtlvysZgQ4f/68JCkkJMQjY0ZHRysiIkKRkZEe2R4AAAAAAJ5UpBMBaQUCExISMq2eGBsbm6FtbvXp00e7du1STEyMR7YHAAAAAIAnFelEQIMGDWS1WpWSkpJpMcDdu3dLElfwAQAAAABeoUgnAsLCwtS0aVNJ0sqVKx3W79mzR0eOHFFQUJBatWp1rcMDAAAAAOCaK/LFAocOHapVq1Zp0qRJ6tGjh3x9/2+Xx40bJ0l69dVX7bMHeCOLJb8jQOFiFXM1I6eMye8IAAAAkKZQ3RGQkJCguLg4xcXFZbksvaZNm2rkyJHauXOnOnTooK1bt2rv3r0aNGiQpk6dqjZt2mjw4MEei5FigQAAAACAgsxiTOG5TlOtWjUdPHgw0/VZ7crixYs1btw4bd68WSkpKapdu7a6deumPn36yMfHx+OxJiUlKSQkRImJifbZCwoq7ggAkNcKz38aAIUVxzMA8lphOJ5x9Ty0UCUCChMSAQDwf/hPAyCvcTwDIK8VhuMZV89DC9WjAQAAAAAAIHdIBAAAAAAA4EVIBHgYxQIBAAAAAAUZNQLyCDUCAOD/8J8GQF7jeAZAXisMxzPUCAAAAAAAAA5IBAAAAAAA4EVIBAAAAAAA4EVIBAAAAAAA4EVIBHgYswYAAAAAAAoyZg3II8waAAD/h/80APIaxzMA8lphOJ5h1gAAAAAAAOCARAAAAAAAAF6ERAAAAAAAAF7EN78DKKrSSi8kJSXlcySuKNg1DAAUfoXjbyGAwo3jGQB5qzAcz6TFmF0pQBIBeeTMmTOSpMqVK+dzJACQ/0JC8jsCAACA3ClMxzNnzpxRSBYBM2tAHrHZbDp27JiCgoJkoYwtipCkpCRVrlxZhw8fLvAzYgAAADjD8QyKKmOMzpw5o4oVK8pqzbwSAHcE5BGr1arw8PD8DgPIM8HBwfzjBAAAhRrHMyiKsroTIA3FAgEAAAAA8CIkAgAAAAAA8CIkAgDkiL+/v4YOHSp/f//8DgUAAMAtHM/A21EsEAAAAAAAL8IdAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAQAAAAAAeBESAUAeatasmSwWi8Ora9euGdodOHDAaTuLxaLVq1dLkmw2m7777jt17txZNWrUkL+/v0qUKKGbbrpJr7zyio4dO+bR2I0xWrBggZ544glVr15dJUqUUGBgoKpWrarWrVvr3Xff1bZt2zw6JgAAQFaqVavm9HjpavHx8bJarQoODlZKSkq222nWrFmm287qNX369Guw14DnkQgA8tCCBQsUGxurO+64Q5I0YMAAxcbGavz48RnaVa5cWbGxsdq0aZN92aZNmxQbG6s777xTktSqVSu1b99ee/fu1YcffqidO3dq1apVuvfee/XBBx/oxhtv1IYNGzwS98GDB9WoUSM98cQTKl++vD7//HPt2rVLv/76q8aPHy8fHx+98cYbql+/vurWreuRMQEAALITExOjdevW2b9PO1662pIlS2SM0ZkzZ7R27Vqn21mzZo18fHy0d+9eLViwQDExMYqNjVV4eLgk6cMPP1RsbGymL6Aw883vAICirEyZMpKkYsWKSZJKliyp8uXLO7Tz8fFR+fLldfHiRfuy0NDQDG3j4+NVtWpV/fTTTwoKCrIvv/322+Xr66tx48bp8ccf1759++Tr6/5HOy0JcO7cOf38889q3LixfV3VqlV16623qn379vr888/VpUsX7dmzx+2xAAAAciI0NFShoaGqXLmyDh8+rO3btysyMtKh3eLFizN83aJFC4ftzJo1S40aNdL111+fYZ2Pj48kKSQkxOlxG1AUcEcAUIg8+uijGZIAaZ577jlJ0qFDh7Rx40a3t2+M0aOPPqrjx49rxIgRGZIAV3vmmWf04IMPuj0WAACAu1q1aiUp4wl/GpvNpmXLlqlDhw6SpEWLFjndxpIlS+zbcUdCQoKeeOIJt/sD+YlEAFBIrF27Vu+8847TdWm3sEnSyZMn3R7ju+++06ZNm1S8eHE9++yz2bbv0aOHqlat6nTdxo0b9cgjj6h8+fIqVqyYKlasqMcff1xbt251aOvr62t/1q5atWq6ePGiXnvtNVWqVEklS5bUXXfdpVWrVkmSUlNTNWzYMFWpUkUBAQG67bbb9OOPP2bY3tU1F5o1a6ZDhw6pS5cuqlixovz9/VW9enUNHjxY586dc+MnBQAA8lPr1q0lSStXrtTly5czrNu4caMuXryo9957T5K0a9cuHTx4MEOb5ORk/fzzz/btuCrtGGP16tW67rrr5O/vn4u9APIPiQCgkAgKCrI/YnC19M+p3XTTTW6PMWfOHElSo0aNVLJkyWzbt2vXTgcOHHBYPnnyZN155506ePCgvvrqK/3999+aPn26/vzzTzVq1EgzZszI0P7o0aP2+gjGGD399NOKiIjQunXrNHv2bP3zzz9q3bq1Nm/erP79+6tatWr6+eefNXfuXMXGxuqhhx7KkGBIq7kwf/58SVJcXJyaN2+uBg0aaO3atdq8ebNatWql9957T82bNycZAABAIRMVFSU/Pz8lJSXpl19+ybBu0aJFat68uWrXrq2IiAhJjncO/PzzzypRooQaNGhwzWIGChISAUARkHbLW5s2bVS9enW3t/Prr79KUq4KAG7YsEH9+vVTaGioli9frhYtWqhKlSq67777tGLFCpUsWVLPPvustm/fbu9Trlw5hYaGSrryeEPjxo3VtWtXVa9eXQ888IDefvttJScnq1u3bqpSpYp9Xbt27TRixAilpqbqf//7n317aTUX0mo07NmzRy+99JL69eunmjVr6uabb9aUKVPUoUMHxcTEaOjQoW7vLwAAuPaCg4PtxZiXLFmSYd3ixYvtV/rbtGkjyfHxgCVLlui+++5zOuMA4A1IBADX0LvvvquSJUtm+rrxxhtzvM3z58/rww8/VFBQkCZMmJCr+I4fPy5JKlWqlNvbGDVqlFJTU9WlSxeFhIRkWBcaGqqnnnpKKSkp9tv1nHn66aczfJ9WBOiPP/5wWHf77bdLktNHDtIEBgaqe/fuDstfeOEFSdJHH32kCxcuZLFXAACgoEk72U9/tT8+Pl5bt261P/uf1uann35ScnKyvd2SJUuyfSygV69eHjlWAwoiZg0ArqFevXqpX79+ma4/evSomjVrlqNtvvLKKzpw4IC+/vpr1axZM1fx5TYrnpqaqpUrV0r6vxP0q6UtX7ZsmdP1JUuWVFhYWIZlwcHBma5LSzacOnUq07iqVKmiEiVKOCxv2LChJOns2bPaunWr7rrrrky3AQAACpZWrVpp8ODB2rFjh2JjY1WhQgUtWbJEtWrVsh8T3X333SpZsqTOnj2rNWvWqGXLljp06JD27Nmj++67L8vtjxgxQh07dsywzJ1jNaAgIhEAXENlypRRrVq1Ml2f02n/3nvvPf3vf//TZ5995vCPyh3lypXT/v37dfr0abf6//vvvzp//rwkOZywpx9DunLinpSUZD/JT5N2O396aQmKrNalpqZmGldmsQQHB6tYsWK6dOmSjhw5kml/AABQ8Nx6662qUKGCYmNjtWTJEnXr1i3DYwHSlSmco6Ki9N1332nRokVq2bKllixZogYNGtgfS8xMWFiYw3FbrVq1ZIzJk/0BriUeDQAKqQ8++EBvvvmmZsyYoa5du3pkm2nP2u3evdsj23NHVncl5MVzfPwzBwCgcLJYLLr//vslXbnVPzU1VcuWLXO45f/qRwhyO20gUBSQCAAKoZEjR2rgwIGaPXu2wzPzufHYY49JujLtjiuV9NeuXavp06fr77//liRdd911Kl68uKT/qzdwtfR1CK6+GyCvZBZLYmKiUlJSJGWcghEAABQOaSf5y5cv1/r163XhwgWHW/fTCgbu2bNHe/fu1cqVK3M8bSBQ1JAIAAqZ119/Xe+8846++eYbPfzwwxnWvfbaa/riiy/c3vaDDz6oO++8U+fPn9fUqVOzbHvu3Dl16NBBvXr1UmBgoKQr1fqjoqIkXUkmOJM2TWBaBv9aOHz4sNPExubNmyVdqT1Qv379axYPAADwjJYtW8rHx0enTp3SsGHD1KxZMwUEBGRoU7lyZXuRvyFDhsjX1zfTWkaAtyARABQSxhi9+OKLmjBhgn744Qe1bdvWoc2mTZvsV+fd9fXXX6tSpUp688037dMJXi01NVU9evTQiRMnNGzYMFWqVMm+bvDgwbJarZoxY4ZDAb+EhAR98cUX8vPz06BBg3IVZ05cuHBB06ZNc1geHR0tSerZs6c9mQEAAAqP0qVLq1GjRpKuzAyQ2ZX+tOVz5861Jw8Ab0YiAMhDJ0+eVFxcnC5duiTpSnX6uLg4JSYmZmiXmpqquLg4JSQk2JclJCRk6Nu7d29NmDBBxYsX18CBA9WwYUOH15YtW3Idc6VKlbR+/XpFRESoadOmevnll7V27VodPHhQO3bs0BdffKHGjRtrzpw5euONNxxO6O+44w5NnDhRJ06cUMuWLbVy5UodOnRIy5cv17333quzZ8/q448/Vr169TLsa9q+p/0s0n5G7q5LLzIyUp9//rkmTpyof/75Rzt37lTv3r31zTffqGHDhhoxYkSuf24AACB/pH/eP7tEwNXt00s79korQJyYmKi4uDjFxcV5MFqggDAA8kzTpk2NJIdXly5dMrTbv3+/03aSzKpVq4wxxoSEhGTaJv1r6NChHondZrOZefPmmYcfftiEh4ebYsWKmeLFi5u6deuaXr16me3bt2fZ/9dffzWdOnUyYWFhxs/Pz5QvX948+uijZsuWLQ5tq1atmunPyN11xhizatUqI8k0bdrUnDhxwvTq1ctUqlTJ+Pn5mapVq5qBAweaM2fOeOTnBQAA8kdMTIyRZGrWrJlpm+TkZBMUFGQkmWPHjjlt4+y4Iu0FFDUWYyiZDaBoWr16tZo3b66mTZtq9erV+R0OAAAAUCDwaAAAAAAAAF6ERAAAAAAAAF6ERACAIietcODJkyclSZcuXcrwPQAAAODNqBEAFFFffvmlnnvuOZfa3nPPPVq8eHEeR3TtHDhwQNWrV3dYTq0AAAAAgEQAUGSdOXNGx48fd6ltYGCgKlWqlMcRAQAAACgISAQAAAAAAOBFqBEAAAAAAIAXIREAAAAAAIAXIREAAAAAAIAXIREAAAAAAIAXIREAAAAAAIAXIREAAEAh1axZM1kslkxfxYsX10033aRBgwbpxIkT+R0uAAAoIEgEAABQSC1YsECxsbG64447JEkDBgxQbGysYmNjdeDAAX333XcqX768Ro8erVtuuUV//fVXPkcMAAAKAt/8DgAAALinTJkykqRixYpJkkqWLKny5cvb11etWlVRUVFq1KiRNm/erG7dumndunX5EisAACg4uCMAAIAizGq1qkePHpKkX375RYcPH87niAAAQH4jEQAAQBFXpUoV+9cHDhzIUEega9euio2NVffu3VWxYkX5+PjYl6e3ZMkStW3bVqGhofL391fVqlXVo0cP/f3335mOe/LkSQ0aNEh169ZVYGCgSpQooZtvvlnPP/+81q5d67TPwoUL1bJlS5UpU0YBAQGqWbOmXnjhBR09etRp+xUrVqh169YKDw9XsWLFFB4erkceeURz5szR+fPnM7Q9cuSI+vXrp7p166p48eIKCQnRXXfdpdGjR2v//v0O2zbGaMaMGbr77rsVEhKi4sWLKyIiQoMHD9apU6ecxjN37lw1bdpU5cuXV7FixVS9enV16dJFP/zwg1JSUjL9WQEAcC2RCAAAoIg7duyY/evy5csrNjZWH374oSTp33//Vdu2bdW0aVOtX79ey5cvV1hYWIb+gwcPVuvWrWWz2fTdd99p7969+vDDD7VixQrVq1dPy5Ytcxjzr7/+0m233abJkyfrxRdf1M6dO7V+/Xo9+uij+vTTT9WkSRP99ttvGfoMGDBADz30kKxWq7799ltt375dgwYN0syZM3Xbbbfp999/z9D+448/VsuWLXXdddfp22+/1V9//aXPP/9cCQkJevzxx/X111/b2x49elT169fX4sWLNXbsWO3cuVNr165V8+bNNXjwYHXr1i3Dtm02mx577DF17dpV1atX19KlSxUTE6Nu3brp/fffV2RkpENy4vXXX9ejjz6qhg0baunSpdqzZ48mTpyo7du3q127dvrll19c/6UBAJCXDAAAKNSaNm1qJJmhQ4c6XX/fffcZSSYiIsK+bNq0aUaSkWS+//77DO2HDBli+vXrZ4wxZs6cOUaSufnmm82lS5cytNu1a5fx9fU1pUqVMkePHrUvv3z5srn55puNJPP11187xPPuu+8aSWbbtm32ZbNmzTKSzI033mguX76cof13331nJJlbbrnF2Gw2+/KqVauaoKAgk5qamqH9mTNnTOnSpc20adPsy4YOHWokmblz5zrE06NHD9O0adMMy0aNGmUkmVatWjm0Hz9+vJFkHnjgAfuyCxcumICAAHPjjTc6tD98+LCxWCxm1apVDusAAMgP3BEAAEARZIzRgQMH1LNnTy1btkzFixfXJ5984tCuevXqeuCBBzIse/vttzV+/HhJ0jvvvCNJ6t27t/z8/DK0u+GGG9SqVSudPn1aEyZMsC//7rvv9Pvvv6tChQrq1KmTw5hdu3ZVqVKl5OPjY182cuRISVK/fv0yLJekdu3aqWLFitqxY4fWrFljX56QkKDk5GTFx8dnaF+yZEl99NFHaty4cYa2knTo0CGHeF588UW9+OKL9u8vXbqksWPHSpJefvllh/bPPvusrFarfvzxRx04cECSdObMGV28eFEnTpxweCQhPDxcn3zyia6//nqHbQEAkB9IBAAAUES8++67KlmypEqWLKmAgABVr15dX331lTp16qQtW7bYpxlMr27dupluLzY21n47/u233+60TdrypUuX2pelPSrQsGFDWSwWhz4VKlTQqVOndPPNN9vH+eOPP+x9rmaxWFS9enVJynB7fVRUlC5duqTbb79dEydOzJAQeOSRRzLsW1RUlCRp4MCB6t27t7Zs2WJfd9NNN6lDhw7277ds2aKTJ09mGk9gYKAqVKggY4zWr18vSQoNDdXNN9+suLg4NWzYUNOmTVNiYqK9T/fu3VWpUiWHbQEAkB9IBAAAUET06tVL27dv1/bt27Vr1y4dOXJEiYmJmjt3bqYn/KGhoZluL/3V86vrBqQpV66cJOngwYP2ZWlfZ7XtzMa555577MmM9K9ff/1VkjI8l//pp5/qgQce0OHDh9WvXz9VqFBBd955pyZPnqwzZ85kGKNjx44aO3asAgIC9L///U8NGzZUlSpV9NJLL+nPP//MNJ4qVao4jSc2NtYhnm+++UZ33nmn/vzzT3Xv3l2hoaG69957NXPmTCUnJ7v0swAA4Frwze8AAACAZ5QpU0a1atXKUR9nV+zz09KlS1W+fPlM1wcHB9u/Dg0N1ffff6/du3friy++0Ny5c7VhwwZt2LBB7733nn788Uf7XQeS9Morr+i5557T119/ra+//lo//fSTxo8fr0mTJmn06NEaMGBAhrF8fHy0ffv2LOMtW7as/euaNWvql19+0ebNm/Xll19q3rx5WrlypVauXKkxY8Zo8eLFCg8Pz+FPBAAAz+OOAAAA4FT6aQePHz/utE3a8qpVq9qXpX2d9lx+TsYJCgpSrVq1Mn05uzOhbt26euedd7Rnzx5t2LBBt99+uw4fPqxevXo5tA0KCtJ//vMfLV26VEePHtUrr7yi1NRUvfbaa9qzZ0+G+FNTUxUaGpplPKVLl3YYo2HDhvrggw906NAhLV26VLVr19Yff/yhgQMHuvTzAAAgr5EIAAAATlWoUMF+RX3jxo1O22zatEmSdP/999uX3XfffZKkzZs3yxjj0OfQoUO69957tXDhQodx0rZ3tV9++UX16tXLUCywa9euOnLkSIZ2jRs31vz58yVJ27Ztsy//5JNPNHv27Axtw8LCNHbsWEVFRclms9mnM2zQoIH9Sn9m8cydO1f16tXT33//LenKNIxdu3bVxYsX7W0sFovuu+8+ffrppw7xAACQn0gEAACATA0ZMkSSNHnyZF26dCnDuj///FNLlixRSEiI+vXrZ1/+0EMP6aabblJsbKzmzZvnsM3o6Gj9/PPPGQrxpY0zceJEh3FsNpuGDx+u48ePZyh4OGPGDC1evNhh+ykpKZIy3mmwbt06TZo0yek+Xt3ez89Pr732miTp/fffd0hmXLhwQW+//bZ8fX3tj2KcPXtWM2bM0Nq1a12KBwCA/ESNAAAACqmTJ0/q0qVL9hPns2fPKi4uTpIyfc4+NTVVCQkJ9or2Fy5cyLLPo48+qq1bt2r06NFq166dhg4dqvDwcG3ZskUvv/yy/P39NWfOHFWsWNHex8fHR/Pnz9e9996rHj166OTJk7rvvvuUlJSk2bNna+zYsZo8eXKGPunHadWqld566y3VqFFDBw4c0NixY7Vu3TotW7bMYQrDV155RRcuXFDz5s0VFBSkP//8U2+99ZZ8fHw0atSoDG1/+eUXPfXUU+rdu7fCw8N14sQJzZgxQ2vWrFGHDh0yTDf4yiuvaPv27Zo1a5Yee+wxDRgwQOXLl9fu3bs1YsQIxcbGat26dQ4/r65du+qdd95R48aNVaxYMW3fvl2DBg1SYGCghg0blunvEgCAa8linN2zBwAACrxmzZrp559/drous3/vBw4csE/F52ofSVqyZIkmTJigjRs36syZMypfvrxatmypQYMG6frrr3fa58SJExozZoy+/fZbHTx4UKVKldLNN9+sV1991f74wNUWL16sCRMmaNOmTTp//rzCw8N1zz33aODAgapTp06Gtlu2bNGcOXO0bNky/f3337p8+bLCw8PVqFEjvfLKK7rtttvsbePj4zVv3jx98803+u2333Tq1CmVLVtW119/vZ599lk9+eST8vXNeH3EGKOvvvpKU6dO1fbt25WSkqIqVarovvvu02uvvZZhOkBjjNauXas5c+Zo1apVOnDggCwWi8LDw9WsWTO9+uqrOS7kCABAXiERAAAAAACAF6FGAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXoREAAAAAAAAXuT/AfiBZ2ptYVJWAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (12,5))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (12,5))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (12,5))\n", - "plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (12,5))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (12,5))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (12,5))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (12,5))\n", - "plot_results.cost(results= results_cost, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (12,5))\n", - "plot_results.transport(results= results_cost, source= 'SD', sink = 'NY', resource= 'H2(C)', transport = 'Train_H2')\n", - "plot_results.transport(results= results_cost, source= 'HO', sink = 'NY', resource= 'H2(C)', transport = 'Train_H2')" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'H2(C)', 0): 240.02400000000077,\n", - " ('HO', 'O2', 0): 18.5775155484352,\n", - " ('HO', 'Power', 0): 169.2724806915469,\n", - " ('NY', 'H2(C)', 0): 2400.2400000000075,\n", - " ('NY', 'O2', 0): 0.0,\n", - " ('NY', 'Power', 0): 162.3300112931517,\n", - " ('SD', 'H2(C)', 0): 0.0,\n", - " ('SD', 'O2', 0): 21108.01330378985,\n", - " ('SD', 'Power', 0): 3241.7004306034514}" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_location']" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on class Scenario in module energiapy.components.scenario:\n", - "\n", - "class Scenario(builtins.object)\n", - " | Scenario(name: str, scales: energiapy.components.temporal_scale.TemporalScale, network: Union[energiapy.components.network.Network, energiapy.components.location.Location] = None, purchase_scale_level: int = 0, expenditure_scale_level: int = 0, scheduling_scale_level: int = 0, availability_scale_level: int = 0, network_scale_level: int = 0, demand_scale_level: int = 0, capacity_scale_level: int = 0, cluster_wt: dict = None, demand: Union[Dict[energiapy.components.location.Location, Dict[energiapy.components.resource.Resource, float]], float] = None, label: str = '', capacity_bounds: energiapy.model.bounds.CapacityBounds = None, annualization_factor: float = 1, demand_penalty: Dict[energiapy.components.location.Location, Dict[energiapy.components.resource.Resource, float]] = None) -> None\n", - " | \n", - " | Scenario contains the network between location and all the data within.\n", - " | \n", - " | Args:\n", - " | name (str): name of scenario, short ones are better to deal with.\n", - " | scales (temporal_scale): scales of the problem\n", - " | network (Union[Network, Location]): network object with the locations, transport linakges, and processes (with resources and materials)\n", - " | purchase_scale_level (int, optional): scale for resource purchase. Defaults to 0.\n", - " | expenditure_scale_level (int, optional): scale for technology expenditure. Defaults to 0.\n", - " | scheduling_scale_level (int, optional): scale of production and inventory scheduling. Defaults to 0.\n", - " | availability_scale_level (int, optional): scale level for availability (resource). Defaults to 0\n", - " | capacity_scale_level (int, optional): scale level for capacity (process). Defaults to 0\n", - " | network_scale_level (int, optional): scale for network decisions such as facility location. Defaults to 0.\n", - " | demand_scale_level (int, optional): scale for meeting specific demand for resource. Defaults to 0.\n", - " | cluster_wt (dict): cluster weights as a dictionary. {scale: int}. Defaults to None.\n", - " | label (str, optional): Longer descriptive label if required. Defaults to ''\n", - " | capacity_bounds (CapacityBounds, optional): bounds on the capacity, useful for multi-period formulations. Defaults to None.\n", - " | annualization_factor (float, optional): the annualization factor for Capex. Defaults to 1.\n", - " | demand_penalty (Dict[Location, Dict[Resource, float]]): penalty for unmet demand at location for each resource. Defaults to None.\n", - " | Example:\n", - " | The Scenario can be built over a single location. The network here is specified as a single Location. Considering scales (TemporalScale object for a year, [1, 365, 24]), scheduling, expenditure, and demand are met at an hourly level, and network at an annual level.\n", - " | \n", - " | >>> Current = Scenario(name= 'current', network= Goa, scales= scales, expenditure_scale_level= 2, scheduling_scale_level= 2, network_scale_level= 0, demand_scale_level= 2, label= 'Current Scenario')\n", - " | \n", - " | A multilocation Scenario needs a Network to be provided. Here, expenditure (on resource purchase) is determined at a daily scale. price_factor in the Location object needs to be commensurate in scale.\n", - " | \n", - " | >>> Future = Scenario(name= 'Future', network= System, scales= scales, expenditure_scale_level= 1, scheduling_scale_level= 2, network_scale_level= 0, demand_scale_level= 2, label= 'Future Scenario )\n", - " | \n", - " | Methods defined here:\n", - " | \n", - " | __eq__(self, other)\n", - " | Return self==value.\n", - " | \n", - " | __init__(self, name: str, scales: energiapy.components.temporal_scale.TemporalScale, network: Union[energiapy.components.network.Network, energiapy.components.location.Location] = None, purchase_scale_level: int = 0, expenditure_scale_level: int = 0, scheduling_scale_level: int = 0, availability_scale_level: int = 0, network_scale_level: int = 0, demand_scale_level: int = 0, capacity_scale_level: int = 0, cluster_wt: dict = None, demand: Union[Dict[energiapy.components.location.Location, Dict[energiapy.components.resource.Resource, float]], float] = None, label: str = '', capacity_bounds: energiapy.model.bounds.CapacityBounds = None, annualization_factor: float = 1, demand_penalty: Dict[energiapy.components.location.Location, Dict[energiapy.components.resource.Resource, float]] = None) -> None\n", - " | Initialize self. See help(type(self)) for accurate signature.\n", - " | \n", - " | __post_init__(self)\n", - " | Determines a bunch of handy sets\n", - " | \n", - " | Args:\n", - " | transport_set (set): Set of transport options.\n", - " | source_locations (set): Set of source locations.\n", - " | sink_locations (set): Set of sink locations.\n", - " | transport_dict (dict): A dictionary of trasportation modes available between sources to sinks\n", - " | transport_avail_dict (dict): A dictionary of available trasportation modes available between sources to sinks.\n", - " | transport_max (dict): A dictionary of the maximum amount of each resource that can be transported between sources and sinks.\n", - " | transport_loss (dict): A dictionary of the transport losses for each resource that can be transported between sources and sinks.\n", - " | transport_cost (dict): A dictionary of the transport cost for each resource that can be transported between sources and sinks.\n", - " | transport_cost (dict): A dictionary of the transport emissions for each resource that can be transported between sources and sinks.\n", - " | distance_dict (dict): A dictionary of distances between sources and sinks.\n", - " | process_set (set): Set of all Process objects.\n", - " | resource_set (set): Set of all Resource objects.\n", - " | material_set (set): Set of all Material objects.\n", - " | conversion (dict): A dictionary with all conversion values for each Process.\n", - " | conversion_discharge (dict): A dictionary with all discharge conversions for Process of storage (ProcessMode.STORAGE) type.\n", - " | prod_max (dict): A dictionary with maximum production capacity per timeperiod in the network scale for each Process at each Location.\n", - " | prod_min (dict): A dictionary with minimum production capacity per timeperiod in the network scale for each Process at each Location.\n", - " | cons_max (dict): A dictionary with maximum consumption per timeperiod in the scheduling scale for each Resource at each Location.\n", - " | store_max (dict): A dictionary with maximum storage per timeperiod in the scheduling scale for each Resource at each Location.\n", - " | store_min (dict): A dictionary with minimum storage per timeperiod in the scheduling scale for each Resource at each Location.\n", - " | capacity_factor (dict): A dictionary with Location-wise capacity factors for varying Process objects.\n", - " | price_factor (dict): A dictionary with Location-wise cost factors for varying purchase costs of Resource objects.\n", - " | demand_factor (dict): A dictionary with Location-wise demand factors for varying demands of Resource objects.\n", - " | loc_res_dict (dict): A dictionary with Location-wise availability of Resource objects.\n", - " | loc_pro_dict (dict): A dictionary with Location-wise availability of Process objects.\n", - " | loc_mat_dict (dict): A dictionary with Location-wise availability of Material objects.\n", - " | price (dict): A dictionary with Location-wise purchase price of Resource objects\n", - " | revenue (dict): A dictionary with Location-wise revenue from selling resource objects\n", - " | capex_dict (dict): A dictionary with capital expenditure data for each Process.\n", - " | fopex_dict (dict): A dictionary with fixed operational expenditure data for each Process.\n", - " | vopex_dict (dict): A dictionary with variable operational expenditure data for each Process.\n", - " | incidental_dict (dict): A dictionary with incidental expenditure data for each Process.\n", - " | land_dict (dict): A dictionary with land use data for each Process.\n", - " | material_gwp_dict (dict): A dictionary with global warming potential values for each Material object.\n", - " | resource_gwp_dict (dict): A dictionary with global warming potential values for each Resource object.\n", - " | process_gwp_dict (dict): A dictionary with global warming potential values for each Process object.\n", - " | fail_factor (dict): A dictionary with fail factors for each Process object.\n", - " | process_resource_dict (dict): A dictionary with Resource required for each Process.\n", - " | process_material_dict (dict): A dictionary with Material required for each Process\n", - " | mode_dict (dict): A dictionary with the multiple modes of each Process with ProcessMode.MULTI\n", - " | \n", - " | __repr__(self)\n", - " | Return repr(self).\n", - " | \n", - " | make_conversion_df(self) -> pandas.core.frame.DataFrame\n", - " | makes a DataFrame of the conversion values\n", - " | \n", - " | Returns:\n", - " | DataFrame: DataFrame of conversion values\n", - " | \n", - " | make_material_df(self) -> pandas.core.frame.DataFrame\n", - " | makes a DataFrame of material consumption\n", - " | \n", - " | Returns:\n", - " | DataFrame: DataFrame of material consumption\n", - " | \n", - " | matrix_form(self)\n", - " | returns matrices for the scenario.\n", - " | \n", - " | Returns:\n", - " | tuple: A, b, c, H, CRa, CRb, F\n", - " | \n", - " | ----------------------------------------------------------------------\n", - " | Data descriptors defined here:\n", - " | \n", - " | __dict__\n", - " | dictionary for instance variables (if defined)\n", - " | \n", - " | __weakref__\n", - " | list of weak references to the object (if defined)\n", - " | \n", - " | ----------------------------------------------------------------------\n", - " | Data and other attributes defined here:\n", - " | \n", - " | __annotations__ = {'annualization_factor': , 'availabil...\n", - " | \n", - " | __dataclass_fields__ = {'annualization_factor': Field(name='annualizat...\n", - " | \n", - " | __dataclass_params__ = _DataclassParams(init=True,repr=True,eq=True,or...\n", - " | \n", - " | __hash__ = None\n", - " | \n", - " | __match_args__ = ('name', 'scales', 'network', 'purchase_scale_level',...\n", - " | \n", - " | annualization_factor = 1\n", - " | \n", - " | availability_scale_level = 0\n", - " | \n", - " | capacity_bounds = None\n", - " | \n", - " | capacity_scale_level = 0\n", - " | \n", - " | cluster_wt = None\n", - " | \n", - " | demand = None\n", - " | \n", - " | demand_penalty = None\n", - " | \n", - " | demand_scale_level = 0\n", - " | \n", - " | expenditure_scale_level = 0\n", - " | \n", - " | label = ''\n", - " | \n", - " | network = None\n", - " | \n", - " | network_scale_level = 0\n", - " | \n", - " | purchase_scale_level = 0\n", - " | \n", - " | scheduling_scale_level = 0\n", - "\n" - ] - } - ], - "source": [ - "help(Scenario)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'H2_Comp', 0): 1.0,\n", - " ('HO', 'LiI', 0): 1.0,\n", - " ('HO', 'LiI_discharge', 0): 1.0,\n", - " ('HO', 'PEM', 0): 1.0,\n", - " ('HO', 'PV', 0): 1.0,\n", - " ('HO', 'WF', 0): 1.0,\n", - " ('NY', 'H2_Comp', 0): 1.0,\n", - " ('NY', 'LiI', 0): 1.0,\n", - " ('NY', 'LiI_discharge', 0): 1.0,\n", - " ('NY', 'PEM', 0): None,\n", - " ('NY', 'PV', 0): 1.0,\n", - " ('NY', 'WF', 0): 1.0,\n", - " ('SD', 'H2_Comp', 0): 1.0,\n", - " ('SD', 'LiI', 0): 1.0,\n", - " ('SD', 'LiI_discharge', 0): 1.0,\n", - " ('SD', 'PEM', 0): 1.0,\n", - " ('SD', 'PV', 0): 1.0,\n", - " ('SD', 'WF', 0): 1.0}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'results_demand' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[25], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m plot_results\u001b[39m.\u001b[39mcost(results\u001b[39m=\u001b[39m results_demand, x \u001b[39m=\u001b[39m CostX\u001b[39m.\u001b[39mPROCESS_WISE, y \u001b[39m=\u001b[39m CostY\u001b[39m.\u001b[39mCAPEX, location\u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, fig_size\u001b[39m=\u001b[39m (\u001b[39m8\u001b[39m,\u001b[39m6\u001b[39m))\n\u001b[0;32m 2\u001b[0m plot_results\u001b[39m.\u001b[39mcost(results\u001b[39m=\u001b[39m results_demand, x \u001b[39m=\u001b[39m CostX\u001b[39m.\u001b[39mPROCESS_WISE, y \u001b[39m=\u001b[39m CostY\u001b[39m.\u001b[39mVOPEX, location\u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, fig_size\u001b[39m=\u001b[39m (\u001b[39m8\u001b[39m,\u001b[39m6\u001b[39m))\n\u001b[0;32m 3\u001b[0m plot_results\u001b[39m.\u001b[39mcost(results\u001b[39m=\u001b[39m results_demand, x \u001b[39m=\u001b[39m CostX\u001b[39m.\u001b[39mPROCESS_WISE, y \u001b[39m=\u001b[39m CostY\u001b[39m.\u001b[39mFOPEX, location\u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mHO\u001b[39m\u001b[39m'\u001b[39m, fig_size\u001b[39m=\u001b[39m (\u001b[39m8\u001b[39m,\u001b[39m6\u001b[39m))\n", - "\u001b[1;31mNameError\u001b[0m: name 'results_demand' is not defined" - ] - } - ], - "source": [ - "\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.CAPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.VOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.FOPEX, fig_size= (8,6))\n", - "plot_results.cost(results= results_demand, x = CostX.LOCATION_WISE, y = CostY.TOTAL, fig_size= (8,6))\n", - "plot_results.transport(results= results_demand, source= 'SD', sink = 'NY', resource= 'Power', transport = 'Grid')\n", - "plot_results.transport(results= results_demand, source= 'HO', sink = 'NY', resource= 'Power', transport = 'Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'P', component= 'WF', location = 'HO', fig_size= (9,5), color = 'steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "plot_results.schedule(results= results_cost, y_axis= 'S', component= 'Power', location= 'NY')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "plot_scenario.cost_factor(scenario= scenario, location= houston, resource= CH4)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston, process= PV)\n", - "plot_scenario.capacity_factor(scenario= scenario, location= houston,process= WF)\n", - "plot_scenario.demand_factor(scenario= scenario, location= houston, resource= Power)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "\n", - "kmeans = KMeans(n_clusters = 60, random_state = 0, n_init = 'auto').fit(data)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "red = kmeans.cluster_centers_ " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "from energiapy.utils.scale_utils import scale_tuple\n", - "\n", - "time = scale_tuple(milp_cost, 3)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "Trans = [results_cost.output['Trans_exp']['SD', 'NY', 'H2(C)', 'Train_H2', i[0], i[1], i [2]] for i in time]\n", - "PEM_P = [results_cost.output['P']['SD', 'PEM', i[0], i[1], i [2]] for i in time]\n", - "PV_P = [results_cost.output['P']['SD', 'PV', i[0], i[1], i [2]] for i in time]\n", - "Inv = [results_cost.output['Inv']['HO', 'LiI_Power_stored', i[0], i[1], i [2]] for i in time]\n", - "Inv_p = Inv[24*7:24*28]\n", - "Trans_p = Trans[24*7:24*28]\n", - "PEM_p = PEM_P[24*7:24*28]\n", - "PV_p = PV_P[24*7:24*28]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "from matplotlib import rc\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "ax.plot(PEM_p, alpha = 0.9, label = 'PEM', color = 'green')\n", - "# ax.plot(PV_p, alpha = 0.9, label = 'PV')\n", - "ax.plot(Inv_p, alpha = 0.9, label = 'LiI')\n", - "ax2 = ax.twinx()\n", - "# ax2.bar(list(range(len(Inv_p))), Inv_p)\n", - "ax2.plot(Trans_p, alpha = 0.9, label = 'Pumped Hydro', color = 'red', linestyle = '--', zorder = 0)\n", - "ax.set_ylabel(\"MW\")\n", - "ax2.set_ylabel(\"H2 transported (Tons)\", color = 'red')\n", - "ax.set_xlabel(\"Hours in a week 2, 3, 4\")\n", - "plt.title('Production Rates, Inventory and Transport for San Diego')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "ax.legend(loc = 'upper left')\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [ - "results_cost.output['Trans_imp']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mThe kernel failed to start as the Python Environment 'ki' is no longer available. Consider selecting another kernel or refreshing the list of Python Environments." - ] - } - ], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/multiperiod.ipynb b/examples/multiperiod-examples/multiperiod.ipynb deleted file mode 100644 index 60447b36..00000000 --- a/examples/multiperiod-examples/multiperiod.ipynb +++ /dev/null @@ -1,1101 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n", - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n", - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_7580\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i, stretch = True) for i in range(5)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_7580\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'PEM': low_trl_adv_df,\n", - " 'H2_L_c': med_trl_adv_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'PEM': low_trl_mod_df,\n", - " 'H2_L_c': med_trl_mod_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'PEM': low_trl_con_df,\n", - " 'H2_L_c': med_trl_con_df,\n", - " 'H2_L_d': constant_df\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=100,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=118.48, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', storage= Power, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, ASMR, PEM, H2_Comp, NGCC, AqOff, PSH, SMR, SMRH, PV}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[-8760:], WF: wind_houston[-8760:]}, price_factor={\n", - " CH4: ng_price_df[-8760:]}, scales=scales, label='Houston', expenditure_scale_level=0, demand_scale_level=1, capacity_scale_level=2, price_scale_level=2)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, purchase_scale_level=1, capacity_scale_level= 2, label='full_case', demand={houston: {H2_C: 0.2740}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ERROR:pyomo.core:Rule failed when generating expression for Constraint constraint_resource_purchase_varying with index ('HO', 'CH4', 0, 0, 0):\n", - "KeyError: (0, 0)\n", - "ERROR:pyomo.core:Constructing component 'constraint_resource_purchase_varying' from data=None failed:\n", - "KeyError: (0, 0)\n" - ] - }, - { - "ename": "KeyError", - "evalue": "(0, 0)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[21], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m milp_cost \u001b[39m=\u001b[39m formulate(scenario\u001b[39m=\u001b[39;49mscenario, constraints\u001b[39m=\u001b[39;49m{Constraints\u001b[39m.\u001b[39;49mCOST, Constraints\u001b[39m.\u001b[39;49mINVENTORY, Constraints\u001b[39m.\u001b[39;49mPRODUCTION,\n\u001b[0;32m 2\u001b[0m Constraints\u001b[39m.\u001b[39;49mRESOURCE_BALANCE, Constraints\u001b[39m.\u001b[39;49mNETWORK, Constraints\u001b[39m.\u001b[39;49mDEMAND}, objective\u001b[39m=\u001b[39;49mObjective\u001b[39m.\u001b[39;49mCOST)\u001b[39m#, inventory_zero = {houston: {(LiI, Power): 1}})\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\model\\formulate.py:443\u001b[0m, in \u001b[0;36mformulate\u001b[1;34m(scenario, constraints, objective, write_lpfile, gwp, land_restriction, gwp_reduction_pct, model_class, objective_resource, inventory_zero, demand_sign)\u001b[0m\n\u001b[0;32m 437\u001b[0m \u001b[39m# # *----------------resource purchase---------------------------------------------\u001b[39;00m\n\u001b[0;32m 439\u001b[0m instance\u001b[39m.\u001b[39mconstraint_resource_purchase_certain \u001b[39m=\u001b[39m make_constraint(\n\u001b[0;32m 440\u001b[0m instance\u001b[39m=\u001b[39minstance, type_cons\u001b[39m=\u001b[39mCons\u001b[39m.\u001b[39mX_EQ_BY, variable_x\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mB\u001b[39m\u001b[39m'\u001b[39m, variable_y\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mC\u001b[39m\u001b[39m'\u001b[39m, location_set\u001b[39m=\u001b[39minstance\u001b[39m.\u001b[39mlocations, component_set\u001b[39m=\u001b[39minstance\u001b[39m.\u001b[39mresources_certain_price, b_max\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mprice_dict,\n\u001b[0;32m 441\u001b[0m loc_comp_dict\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mloc_res_dict, x_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level, y_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level, label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mcalculates certain amount spent on resource consumption\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m--> 443\u001b[0m instance\u001b[39m.\u001b[39;49mconstraint_resource_purchase_varying \u001b[39m=\u001b[39m make_constraint(\n\u001b[0;32m 444\u001b[0m instance\u001b[39m=\u001b[39minstance, type_cons\u001b[39m=\u001b[39mCons\u001b[39m.\u001b[39mX_EQ_BY, variable_x\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mB\u001b[39m\u001b[39m'\u001b[39m, variable_y\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mC\u001b[39m\u001b[39m'\u001b[39m, location_set\u001b[39m=\u001b[39minstance\u001b[39m.\u001b[39mlocations, component_set\u001b[39m=\u001b[39minstance\u001b[39m.\u001b[39mresources_varying_price, b_max\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mprice_dict,\n\u001b[0;32m 445\u001b[0m loc_comp_dict\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mloc_res_dict, b_factor\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mprice_factor, x_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level, y_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level, b_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mpurchase_scale_level, label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mcalculates varying amount spent on resource consumption\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 447\u001b[0m \u001b[39m# # *----------------sum P,S,C,B over location---------------------------------------------\u001b[39;00m\n\u001b[0;32m 449\u001b[0m instance\u001b[39m.\u001b[39mconstraint_location_production \u001b[39m=\u001b[39m make_constraint(\n\u001b[0;32m 450\u001b[0m instance\u001b[39m=\u001b[39minstance, type_cons\u001b[39m=\u001b[39mCons\u001b[39m.\u001b[39mX_EQ_SUMSCALE_Y, variable_x\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mP_location\u001b[39m\u001b[39m'\u001b[39m, variable_y\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mP\u001b[39m\u001b[39m'\u001b[39m, location_set\u001b[39m=\u001b[39minstance\u001b[39m.\u001b[39mlocations, component_set\u001b[39m=\u001b[39minstance\u001b[39m.\u001b[39mprocesses,\n\u001b[0;32m 451\u001b[0m loc_comp_dict\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mloc_pro_dict, x_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mnetwork_scale_level, y_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level, cluster_wt\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mcluster_wt,\n\u001b[0;32m 452\u001b[0m label\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39msums up production from process over the temporal scale at location\u001b[39m\u001b[39m'\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py:580\u001b[0m, in \u001b[0;36m_BlockData.__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 575\u001b[0m \u001b[39mif\u001b[39;00m name \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__dict__\u001b[39m:\n\u001b[0;32m 576\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(val, Component):\n\u001b[0;32m 577\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 578\u001b[0m \u001b[39m# Pyomo components are added with the add_component method.\u001b[39;00m\n\u001b[0;32m 579\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[1;32m--> 580\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49madd_component(name, val)\n\u001b[0;32m 581\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 582\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 583\u001b[0m \u001b[39m# Other Python objects are added with the standard __setattr__\u001b[39;00m\n\u001b[0;32m 584\u001b[0m \u001b[39m# method.\u001b[39;00m\n\u001b[0;32m 585\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 586\u001b[0m \u001b[39msuper\u001b[39m(_BlockData, \u001b[39mself\u001b[39m)\u001b[39m.\u001b[39m\u001b[39m__setattr__\u001b[39m(name, val)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py:1185\u001b[0m, in \u001b[0;36m_BlockData.add_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1177\u001b[0m logger\u001b[39m.\u001b[39mdebug(\n\u001b[0;32m 1178\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mConstructing \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m'\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m on \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m from data=\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m\"\u001b[39m,\n\u001b[0;32m 1179\u001b[0m val\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1182\u001b[0m \u001b[39mstr\u001b[39m(data),\n\u001b[0;32m 1183\u001b[0m )\n\u001b[0;32m 1184\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 1185\u001b[0m val\u001b[39m.\u001b[39;49mconstruct(data)\n\u001b[0;32m 1186\u001b[0m \u001b[39mexcept\u001b[39;00m:\n\u001b[0;32m 1187\u001b[0m err \u001b[39m=\u001b[39m sys\u001b[39m.\u001b[39mexc_info()[\u001b[39m1\u001b[39m]\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\constraint.py:806\u001b[0m, in \u001b[0;36mConstraint.construct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 803\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 804\u001b[0m \u001b[39m# Bypass the index validation and create the member directly\u001b[39;00m\n\u001b[0;32m 805\u001b[0m \u001b[39mfor\u001b[39;00m index \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindex_set():\n\u001b[1;32m--> 806\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_setitem_when_not_present(index, rule(block, index))\n\u001b[0;32m 807\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mException\u001b[39;00m:\n\u001b[0;32m 808\u001b[0m err \u001b[39m=\u001b[39m sys\u001b[39m.\u001b[39mexc_info()[\u001b[39m1\u001b[39m]\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\initializer.py:314\u001b[0m, in \u001b[0;36mIndexedCallInitializer.__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 308\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__call__\u001b[39m(\u001b[39mself\u001b[39m, parent, idx):\n\u001b[0;32m 309\u001b[0m \u001b[39m# Note: this is called by a component using data from a Set (so\u001b[39;00m\n\u001b[0;32m 310\u001b[0m \u001b[39m# any tuple-like type should have already been checked and\u001b[39;00m\n\u001b[0;32m 311\u001b[0m \u001b[39m# converted to a tuple; or flattening is turned off and it is\u001b[39;00m\n\u001b[0;32m 312\u001b[0m \u001b[39m# the user's responsibility to sort things out.\u001b[39;00m\n\u001b[0;32m 313\u001b[0m \u001b[39mif\u001b[39;00m idx\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m \u001b[39mis\u001b[39;00m \u001b[39mtuple\u001b[39m:\n\u001b[1;32m--> 314\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_fcn(parent, \u001b[39m*\u001b[39;49midx)\n\u001b[0;32m 315\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 316\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_fcn(parent, idx)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\model\\constraints\\constraints.py:198\u001b[0m, in \u001b[0;36mmake_constraint..cons_rule\u001b[1;34m(instance, location, component, *scale)\u001b[0m\n\u001b[0;32m 196\u001b[0m \u001b[39mif\u001b[39;00m b_factor \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 197\u001b[0m \u001b[39mif\u001b[39;00m b_factor[location] \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m--> 198\u001b[0m bfactor \u001b[39m=\u001b[39m b_factor[location][component][scale[:b_scale_level \u001b[39m+\u001b[39;49m \u001b[39m1\u001b[39;49m]\n\u001b[0;32m 199\u001b[0m ]\n\u001b[0;32m 200\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 201\u001b[0m bfactor \u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n", - "\u001b[1;31mKeyError\u001b[0m: (0, 0)" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND}, objective=Objective.COST)#, inventory_zero = {houston: {(LiI, Power): 1}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 447284 rows, 403113 columns and 1299636 nonzeros\n", - "Model fingerprint: 0x3baee92b\n", - "Variable types: 403098 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 321332 rows and 295043 columns\n", - "Presolve time: 1.30s\n", - "Presolved: 125952 rows, 108070 columns, 429305 nonzeros\n", - "Variable types: 108064 continuous, 6 integer (6 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 27313 4.3994307e+06 0.000000e+00 2.861461e+09 5s\n", - " 32923 1.0432475e+06 0.000000e+00 2.179204e+09 10s\n", - " 37923 5.1138067e+05 0.000000e+00 1.080281e+09 15s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 87543 1.8643301e+05 0.000000e+00 0.000000e+00 16s\n", - "\n", - "Root relaxation: objective 1.864330e+05, 87543 iterations, 14.56 seconds (24.39 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 186433.008 0 1 - 186433.008 - - 16s\n", - " 0 0 186433.008 0 1 - 186433.008 - - 16s\n", - " 0 2 186433.008 0 1 - 186433.008 - - 16s\n", - "* 1 0 1 1036371.9510 1036371.95 0.00% 173486 68s\n", - "\n", - "Explored 3 nodes (290932 simplex iterations) in 85.36 seconds (293.29 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.03637e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max bound violation (7.8185e-05) exceeds tolerance\n", - "Best objective 1.036371950980e+06, best bound 1.036371950980e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "10362.683241474866" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'ASMR', 0): 0.0,\n", - " ('HO', 'AqOff', 0): 0.03562694774832534,\n", - " ('HO', 'H2_Comp', 0): 37111.11536364089,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI_discharge', 0): 0.0,\n", - " ('HO', 'NGCC', 0): 49385.29398253868,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PSH', 0): 1.0900140503209184,\n", - " ('HO', 'PSH_discharge', 0): 0.0,\n", - " ('HO', 'PV', 0): 57847.98392789246,\n", - " ('HO', 'SMR', 0): 55.666673045461344,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'WF', 0): 41198.15885131905}" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/results.ipynb b/examples/multiperiod-examples/results.ipynb deleted file mode 100644 index 1124c8db..00000000 --- a/examples/multiperiod-examples/results.ipynb +++ /dev/null @@ -1,135 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "import pyomo.environ as pyo\n", - "from pyearth import Earth\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.utils.data_utils import load_results\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.model.constraints.resource_balance import constraint_specific_network_discharge\n", - "from energiapy.model.constraints.integer_cuts import constraint_block_integer_cut_min, constraint_block_integer_cut_max\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict = {i: load_results(filename=f\"results_slsp_cost0{i}.pkl\") for i in range(8)}" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({('HO', 'AWE', 0): 0.0,\n", - " ('HO', 'AqOff', 0): 78815.2934741717,\n", - " ('HO', 'DAC', 0): 0.0,\n", - " ('HO', 'H2_L_c', 0): 848029640.0781388,\n", - " ('HO', 'H2_L_d', 0): 8.513251055816495,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'NGCC', 0): 0.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PV', 0): 10345781329.696571,\n", - " ('HO', 'SMR', 0): 1507002.5037398376,\n", - " ('HO', 'SMRH', 0): 3855646683.1230683,\n", - " ('HO', 'WF', 0): 55971586424.34154},\n", - " {('HO', 'AWE', 0): 0.0,\n", - " ('HO', 'AqOff', 0): 585.6687546017968,\n", - " ('HO', 'DAC', 0): 0.0,\n", - " ('HO', 'H2_L_c', 0): 659539502.9974966,\n", - " ('HO', 'H2_L_d', 0): 8.818909552816411,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'NGCC', 0): 811841189.0548944,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PV', 0): 1041654707.2294822,\n", - " ('HO', 'SMR', 0): 3389309.254496245,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'WF', 0): 8561247491.0931835})" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_dict[7].output['Capex_process'], results_dict[0].output['Capex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ki", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/sl-mp.ipynb b/examples/multiperiod-examples/sl-mp.ipynb deleted file mode 100644 index 804c224b..00000000 --- a/examples/multiperiod-examples/sl-mp.ipynb +++ /dev/null @@ -1,1739 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Alkaline Water Electrolyzers (AWE)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the horizon here for convenience**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 3" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_sandiego = fetch_nsrdb_data(attrs=['wind_speed', 'dni'], year=2019, state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation', save='../data/sd_solar19')[1]\n", - "\n", - "# weather_houston = fetch_nsrdb_data(attrs=['wind_speed', 'dni'], year=2019, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation', save='../data/ho_solar19')[1]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "weather20_df = pandas.read_csv('../data/ho_solar20.csv', index_col=0)\n", - "weather20_df.index = [i.split('+')[0] for i in weather20_df.index]\n", - "weather19_df = pandas.read_csv('../data/ho_solar19.csv', index_col=0)\n", - "weather18_df = pandas.read_csv(\n", - " '../data/ho_solar18.csv', names=['wind_speed', 'dni'])\n", - "weather17_df = pandas.read_csv('../data/ho_solar17.csv', index_col=0)\n", - "weather16_df = pandas.read_csv('../data/ho_solar16.csv', index_col=0)\n", - "weather15_df = pandas.read_csv('../data/ho_solar15.csv', index_col=0)\n", - "weather_df_wl = pandas.concat(\n", - " [weather16_df, weather17_df, weather18_df, weather19_df, weather20_df])\n", - "weather = weather_df_wl[~weather_df_wl.index.str.contains(\n", - " '02-29')] # remove leap years\n", - "weather = weather[:8760*horizon]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price20 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020)\n", - "ng_price19 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2019)\n", - "ng_price18 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2018)\n", - "ng_price17 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2017)\n", - "ng_price16 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016)\n", - "ng_price_df = pandas.concat(\n", - " [ng_price16, ng_price17, ng_price18, ng_price19, ng_price20])\n", - "# ng_price_df['index'] = [i for i in demand.index][::24]\n", - "ng_price_df = ng_price_df.drop(columns='scales')\n", - "# ng_price = ng_price_df.set_index('index')\n", - "ng_price = ng_price_df[:365*horizon]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "ercot20 = pandas.read_excel('../data/Native_Load_2020.xlsx')\n", - "ercot19 = pandas.read_excel('../data/Native_Load_2019.xlsx')\n", - "ercot18 = pandas.read_excel('../data/Native_Load_2018.xlsx')\n", - "ercot17 = pandas.read_excel('../data/Native_Load_2017.xlsx')\n", - "ercot16 = pandas.read_excel('../data/Native_Load_2016.xlsx')\n", - "ercot = pandas.DataFrame(pandas.concat(\n", - " [ercot16['COAST'], ercot17['COAST'], ercot18['COAST'], ercot19['COAST'], ercot20['COAST']]))\n", - "ercot['index'] = weather_df_wl.index\n", - "# ercot = ercot.drop(columns= 'HourEnding')\n", - "ercot = ercot.set_index('index')\n", - "# ercot = ercot[['COAST']]\n", - "ercot = ercot[~ercot.index.str.contains('02-29')]\n", - "# random missing data\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00']\n", - "demand = ercot[:8760*horizon]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Demand for hydrogen (H2) is set at an increasing trajectory" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "x = numpy.linspace(0, 8760*horizon, 8760*horizon)\n", - "demand_H2_df = pandas.DataFrame(\n", - " data=(400/(8760*horizon)**(0.5))*x**(0.5) + 100)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'AWE': low_trl_adv_df,\n", - " 'H2_L_c': med_trl_adv_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'AWE': low_trl_mod_df,\n", - " 'H2_L_c': med_trl_mod_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'AWE': low_trl_con_df,\n", - " 'H2_L_c': med_trl_con_df,\n", - " 'H2_L_d': constant_df\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\components\\resource.py:153: UserWarning: Provide a list of VaryingResource enums\n", - " warn('Provide a list of VaryingResource enums')\n" - ] - } - ], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated',\n", - " varying=VaryingResource.DETERMINISTIC_DEMAND)\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True, varying=VaryingResource.DETERMINISTIC_DEMAND)\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen',\n", - " block='Resource', store_max=10000, store_min=smallM)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons',\n", - " label='Natural gas', varying=VaryingResource.DETERMINISTIC_PRICE)\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\components\\process.py:180: UserWarning: Provide a list of VaryingProcess enums\n", - " warn('Provide a list of VaryingProcess enums')\n" - ] - } - ], - "source": [ - "\n", - "LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=3516428, fopex=87910,\n", - " vopex=0, store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953,\n", - " prod_max=bigM, prod_min=smallM, label='Wind mill array', varying=VaryingProcess.DETERMINISTIC_CAPACITY, basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0,\n", - " prod_max=bigM, prod_min=smallM, varying=VaryingProcess.DETERMINISTIC_CAPACITY, label='Solar PV', basis='MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=smallM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion={H2: -0.050, Power: 1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW')\n", - "\n", - "PSH_discharge = Process(name='LiI', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex=0.01, vopex=0.001,\n", - " fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1},\n", - " capex=730, fopex=114, vopex=3.6, prod_max=bigM, prod_min=smallM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)')\n", - "\n", - "AWE = Process(name='AWE', conversion={Power: -1, H2: 0.019, O2: 0.7632, H2O: -0.1753}, capex=1.1*10**6, fopex=16918,\n", - " vopex=0, prod_max=bigM, prod_min=smallM, label='Alkaline water electrolysis (AWE)', citation='Demirhan et al. 2018 AIChE paper')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, PV, SMRH, SMR, DAC,\n", - " AWE, H2_L_c, H2_L_d, AqOff, ASMR, PSH, NGCC}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "capex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['CAPEX']][:horizon]) for i in process_set}\n", - "fopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Fixed O&M']][:horizon]) for i in process_set}\n", - "vopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Variable O&M']][:horizon]) for i in process_set}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: weather[['dni']], WF: weather[['wind_speed']]}, demand_factor={Power: demand, H2: demand_H2_df}, price_factor={\n", - " CH4: ng_price}, scales=scales, label='Houston', capex_factor=capex_factor, vopex_factor=vopex_factor, fopex_factor=fopex_factor, expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "argument of type 'VaryingResource' is not iterable", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[19], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m scenario \u001b[39m=\u001b[39m Scenario(name\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mscenario_full\u001b[39;49m\u001b[39m'\u001b[39;49m, network\u001b[39m=\u001b[39;49mhouston, scales\u001b[39m=\u001b[39;49mscales, expenditure_scale_level\u001b[39m=\u001b[39;49m\u001b[39m0\u001b[39;49m, scheduling_scale_level\u001b[39m=\u001b[39;49m\u001b[39m2\u001b[39;49m,\n\u001b[0;32m 2\u001b[0m network_scale_level\u001b[39m=\u001b[39;49m\u001b[39m0\u001b[39;49m, demand_scale_level\u001b[39m=\u001b[39;49m\u001b[39m2\u001b[39;49m, purchase_scale_level\u001b[39m=\u001b[39;49m\u001b[39m1\u001b[39;49m, label\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mfull_case\u001b[39;49m\u001b[39m'\u001b[39;49m, demand\u001b[39m=\u001b[39;49m{houston: {H2: \u001b[39m1000\u001b[39;49m, Power: \u001b[39m1000\u001b[39;49m}})\n", - "File \u001b[1;32m:16\u001b[0m, in \u001b[0;36m__init__\u001b[1;34m(self, name, scales, network, purchase_scale_level, expenditure_scale_level, scheduling_scale_level, network_scale_level, demand_scale_level, cluster_wt, demand, label, capacity_bounds, annualization_factor)\u001b[0m\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\components\\scenario.py:235\u001b[0m, in \u001b[0;36mScenario.__post_init__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 220\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmulticonversion \u001b[39m=\u001b[39m multiconversion_dict\n\u001b[0;32m 222\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmode_dict \u001b[39m=\u001b[39m {i\u001b[39m.\u001b[39mname: \u001b[39mlist\u001b[39m(\n\u001b[0;32m 223\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmulticonversion[i\u001b[39m.\u001b[39mname]\u001b[39m.\u001b[39mkeys()) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set}\n\u001b[0;32m 225\u001b[0m set_dict \u001b[39m=\u001b[39m {\n\u001b[0;32m 226\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set],\n\u001b[0;32m 227\u001b[0m \n\u001b[0;32m 228\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_nosell\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39msell \u001b[39mis\u001b[39;00m \u001b[39mFalse\u001b[39;00m],\n\u001b[0;32m 229\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_sell\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39msell \u001b[39mis\u001b[39;00m \u001b[39mTrue\u001b[39;00m],\n\u001b[0;32m 230\u001b[0m \n\u001b[0;32m 231\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_store\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mstore_max \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m],\n\u001b[0;32m 232\u001b[0m \n\u001b[0;32m 233\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_purch\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mcons_max \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m],\n\u001b[0;32m 234\u001b[0m \n\u001b[1;32m--> 235\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 236\u001b[0m VaryingResource\u001b[39m.\u001b[39mDETERMINISTIC_DEMAND \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 237\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 238\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_DEMAND \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 239\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 240\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_DEMAND \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 241\u001b[0m \n\u001b[0;32m 242\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_price\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 243\u001b[0m VaryingResource\u001b[39m.\u001b[39mDETERMINISTIC_PRICE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 244\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_price\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 245\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_PRICE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 246\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_price\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 247\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_PRICE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 248\u001b[0m \n\u001b[0;32m 249\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_revenue\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 250\u001b[0m VaryingResource\u001b[39m.\u001b[39mDETERMINISTIC_REVENUE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 251\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_revenue\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 252\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_REVENUE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 253\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_revenue\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 254\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_REVENUE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 255\u001b[0m \n\u001b[0;32m 256\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_availability\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 257\u001b[0m VaryingResource\u001b[39m.\u001b[39mDETERMINISTIC_AVAILABILITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 258\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_availability\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 259\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_AVAILABILITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 260\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_availability\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 261\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_AVAILABILITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 262\u001b[0m \n\u001b[0;32m 263\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mdemand \u001b[39mis\u001b[39;00m \u001b[39mTrue\u001b[39;00m],\n\u001b[0;32m 264\u001b[0m \n\u001b[0;32m 265\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_implicit\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m VaryingResource\u001b[39m.\u001b[39mIMPLICIT \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 266\u001b[0m \n\u001b[0;32m 267\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set],\n\u001b[0;32m 268\u001b[0m \n\u001b[0;32m 269\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_full\u001b[39m\u001b[39m'\u001b[39m: \u001b[39mlist\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mconversion\u001b[39m.\u001b[39mkeys()),\n\u001b[0;32m 270\u001b[0m \n\u001b[0;32m 271\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_failure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mp_fail \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m],\n\u001b[0;32m 272\u001b[0m \n\u001b[0;32m 273\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_materials\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mmaterial_cons \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m],\n\u001b[0;32m 274\u001b[0m \n\u001b[0;32m 275\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_storage\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mconversion_discharge \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m],\n\u001b[0;32m 276\u001b[0m \n\u001b[0;32m 277\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_multim\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mprocessmode \u001b[39m==\u001b[39m ProcessMode\u001b[39m.\u001b[39mMULTI],\n\u001b[0;32m 278\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_singlem\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 279\u001b[0m (i\u001b[39m.\u001b[39mprocessmode \u001b[39m==\u001b[39m ProcessMode\u001b[39m.\u001b[39mSINGLE) \u001b[39mor\u001b[39;00m (i\u001b[39m.\u001b[39mprocessmode \u001b[39m==\u001b[39m ProcessMode\u001b[39m.\u001b[39mSTORAGE)],\n\u001b[0;32m 280\u001b[0m \n\u001b[0;32m 281\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_certain_capacity\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 282\u001b[0m VaryingProcess\u001b[39m.\u001b[39mCERTAIN_CAPACITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 283\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_varying_capacity\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 284\u001b[0m VaryingProcess\u001b[39m.\u001b[39mDETERMINISTIC_CAPACITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 285\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_uncertain_capacity\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 286\u001b[0m VaryingProcess\u001b[39m.\u001b[39mUNCERTAIN_CAPACITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 287\u001b[0m \n\u001b[0;32m 288\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_certain_expenditure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 289\u001b[0m VaryingProcess\u001b[39m.\u001b[39mCERTAIN_EXPENDITURE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 290\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_varying_expenditure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 291\u001b[0m VaryingProcess\u001b[39m.\u001b[39mDETERMINISTIC_EXPENDITURE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 292\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_uncertain_expenditure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 293\u001b[0m VaryingProcess\u001b[39m.\u001b[39mUNCERTAIN_EXPENDITURE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 294\u001b[0m \n\u001b[0;32m 295\u001b[0m \u001b[39m'\u001b[39m\u001b[39mlocations\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlocation_set],\n\u001b[0;32m 296\u001b[0m \u001b[39m'\u001b[39m\u001b[39mmaterials\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmaterial_set],\n\u001b[0;32m 297\u001b[0m }\n\u001b[0;32m 299\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msource_locations \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 300\u001b[0m set_dict[\u001b[39m'\u001b[39m\u001b[39msources\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msource_locations]\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\components\\scenario.py:236\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 220\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmulticonversion \u001b[39m=\u001b[39m multiconversion_dict\n\u001b[0;32m 222\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmode_dict \u001b[39m=\u001b[39m {i\u001b[39m.\u001b[39mname: \u001b[39mlist\u001b[39m(\n\u001b[0;32m 223\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmulticonversion[i\u001b[39m.\u001b[39mname]\u001b[39m.\u001b[39mkeys()) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set}\n\u001b[0;32m 225\u001b[0m set_dict \u001b[39m=\u001b[39m {\n\u001b[0;32m 226\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set],\n\u001b[0;32m 227\u001b[0m \n\u001b[0;32m 228\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_nosell\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39msell \u001b[39mis\u001b[39;00m \u001b[39mFalse\u001b[39;00m],\n\u001b[0;32m 229\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_sell\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39msell \u001b[39mis\u001b[39;00m \u001b[39mTrue\u001b[39;00m],\n\u001b[0;32m 230\u001b[0m \n\u001b[0;32m 231\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_store\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mstore_max \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m],\n\u001b[0;32m 232\u001b[0m \n\u001b[0;32m 233\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_purch\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mcons_max \u001b[39m>\u001b[39m \u001b[39m0\u001b[39m],\n\u001b[0;32m 234\u001b[0m \n\u001b[0;32m 235\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[1;32m--> 236\u001b[0m VaryingResource\u001b[39m.\u001b[39;49mDETERMINISTIC_DEMAND \u001b[39min\u001b[39;49;00m i\u001b[39m.\u001b[39;49mvarying],\n\u001b[0;32m 237\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 238\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_DEMAND \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 239\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 240\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_DEMAND \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 241\u001b[0m \n\u001b[0;32m 242\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_price\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 243\u001b[0m VaryingResource\u001b[39m.\u001b[39mDETERMINISTIC_PRICE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 244\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_price\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 245\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_PRICE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 246\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_price\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 247\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_PRICE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 248\u001b[0m \n\u001b[0;32m 249\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_revenue\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 250\u001b[0m VaryingResource\u001b[39m.\u001b[39mDETERMINISTIC_REVENUE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 251\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_revenue\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 252\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_REVENUE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 253\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_revenue\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 254\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_REVENUE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 255\u001b[0m \n\u001b[0;32m 256\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_varying_availability\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 257\u001b[0m VaryingResource\u001b[39m.\u001b[39mDETERMINISTIC_AVAILABILITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 258\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_certain_availability\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 259\u001b[0m VaryingResource\u001b[39m.\u001b[39mCERTAIN_AVAILABILITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 260\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_uncertain_availability\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 261\u001b[0m VaryingResource\u001b[39m.\u001b[39mUNCERTAIN_AVAILABILITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 262\u001b[0m \n\u001b[0;32m 263\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_demand\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mdemand \u001b[39mis\u001b[39;00m \u001b[39mTrue\u001b[39;00m],\n\u001b[0;32m 264\u001b[0m \n\u001b[0;32m 265\u001b[0m \u001b[39m'\u001b[39m\u001b[39mresources_implicit\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresource_set \u001b[39mif\u001b[39;00m VaryingResource\u001b[39m.\u001b[39mIMPLICIT \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 266\u001b[0m \n\u001b[0;32m 267\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set],\n\u001b[0;32m 268\u001b[0m \n\u001b[0;32m 269\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_full\u001b[39m\u001b[39m'\u001b[39m: \u001b[39mlist\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mconversion\u001b[39m.\u001b[39mkeys()),\n\u001b[0;32m 270\u001b[0m \n\u001b[0;32m 271\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_failure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mp_fail \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m],\n\u001b[0;32m 272\u001b[0m \n\u001b[0;32m 273\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_materials\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mmaterial_cons \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m],\n\u001b[0;32m 274\u001b[0m \n\u001b[0;32m 275\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_storage\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mconversion_discharge \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m],\n\u001b[0;32m 276\u001b[0m \n\u001b[0;32m 277\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_multim\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m i\u001b[39m.\u001b[39mprocessmode \u001b[39m==\u001b[39m ProcessMode\u001b[39m.\u001b[39mMULTI],\n\u001b[0;32m 278\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_singlem\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 279\u001b[0m (i\u001b[39m.\u001b[39mprocessmode \u001b[39m==\u001b[39m ProcessMode\u001b[39m.\u001b[39mSINGLE) \u001b[39mor\u001b[39;00m (i\u001b[39m.\u001b[39mprocessmode \u001b[39m==\u001b[39m ProcessMode\u001b[39m.\u001b[39mSTORAGE)],\n\u001b[0;32m 280\u001b[0m \n\u001b[0;32m 281\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_certain_capacity\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 282\u001b[0m VaryingProcess\u001b[39m.\u001b[39mCERTAIN_CAPACITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 283\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_varying_capacity\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 284\u001b[0m VaryingProcess\u001b[39m.\u001b[39mDETERMINISTIC_CAPACITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 285\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_uncertain_capacity\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 286\u001b[0m VaryingProcess\u001b[39m.\u001b[39mUNCERTAIN_CAPACITY \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 287\u001b[0m \n\u001b[0;32m 288\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_certain_expenditure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 289\u001b[0m VaryingProcess\u001b[39m.\u001b[39mCERTAIN_EXPENDITURE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 290\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_varying_expenditure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 291\u001b[0m VaryingProcess\u001b[39m.\u001b[39mDETERMINISTIC_EXPENDITURE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 292\u001b[0m \u001b[39m'\u001b[39m\u001b[39mprocesses_uncertain_expenditure\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mprocess_set \u001b[39mif\u001b[39;00m\n\u001b[0;32m 293\u001b[0m VaryingProcess\u001b[39m.\u001b[39mUNCERTAIN_EXPENDITURE \u001b[39min\u001b[39;00m i\u001b[39m.\u001b[39mvarying],\n\u001b[0;32m 294\u001b[0m \n\u001b[0;32m 295\u001b[0m \u001b[39m'\u001b[39m\u001b[39mlocations\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlocation_set],\n\u001b[0;32m 296\u001b[0m \u001b[39m'\u001b[39m\u001b[39mmaterials\u001b[39m\u001b[39m'\u001b[39m: [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmaterial_set],\n\u001b[0;32m 297\u001b[0m }\n\u001b[0;32m 299\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msource_locations \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 300\u001b[0m set_dict[\u001b[39m'\u001b[39m\u001b[39msources\u001b[39m\u001b[39m'\u001b[39m] \u001b[39m=\u001b[39m [i\u001b[39m.\u001b[39mname \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msource_locations]\n", - "\u001b[1;31mTypeError\u001b[0m: argument of type 'VaryingResource' is not iterable" - ] - } - ], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case', demand={houston: {H2: 1000, Power: 1000}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAHtCAYAAACEdOhUAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADfD0lEQVR4nOzdd1gU1/c/8PcuZem9CogCimKHYFfsicZYon401qiJLZao0dhbNHaNPbEbsHeNJfYWu9hFsICKAi516W3n9we/mS/LFrYCu5zX8/g8sjM7c3dmy5y595zLYxiGASGEEEIIIYRogF/eDSCEEEIIIYToPwosCCGEEEIIIRqjwIIQQgghhBCiMQosCCGEEEIIIRqjwIIQQgghhBCiMQosCCGEEEIIIRqjwIIQQgghhBCiMQosCCGEEEIIIRqjwIIQQgghhBCiMQosiN7LycnBzp070atXL/j5+cHKygpmZmaoUqUK2rZti8mTJ+Ps2bPIzs4u76aWiYMHD6Jt27awt7eHQCCAl5cXvvrqK2zZsqW8m2YQ8vLysHTpUjRq1AiWlpawsLCAr68v+vfvj0uXLpV386Ts3LkTPB5P4p+bmxsSExNVfh77b968eWXTeD0n6xheuXKlvJtV4eTl5eHLL7+Eo6Mj/vnnn3Jrh7z3O4/Hw/fffy+1vqLPCJ1rUlnxGIZhyrsRhKjr+PHjmDBhAt69e4cvvvgCXbp0gZeXFwoKChAdHY3Tp0/j2bNnAABra2v07t0bv//+O9zc3Mq55UX++OMPpKamok2bNmjTpo3G21u4cCFmz54Na2trjB07Fj4+PoiIiMCGDRvg5uaGmJgYjfehCfaCtEePHmjYsGG5tkUdDMOgU6dOuHDhAvz8/PDDDz/A3t4eFy9exIEDBzBkyBDs3LmzvJsp4e3bt7h58yYAYNGiRXj58iUAoGfPnjhy5IjSz0tMTMTq1asBAPXr10f9+vW11sZjx47h0aNHqFatmswLOH3FHsPExERMnDgRAHD58mWtfNYNyf379xEcHAwA6Nq1K06ePFku7QgLCwMAHDlyBEePHgUArF69Gk5OTvD19UWzZs0k1i/+GZk4cSISExNRq1YtzJw5EwDQsWNHuLq6luEr0J1Hjx7h2LFjAEA3FohiDCF6atWqVQyPx2Osra2ZQ4cOyV3v77//ZgQCAQOAAcBcvny57BpZCm9vbwYAM3fuXI23JRQKGVNTUwYAc/z4cYll06ZNY7y9vTXeh6bYc7Bjx47ybopaTpw4wQBgTE1Nmc+fP0ssa9q0KTNkyJDyaZiSQkJCuHMAgNm+fbvSz9Pl+2fIkCEMACYkJERn+yhP0dHRFfL7p6LIzc1lOnTowNjZ2TFHjx4t7+Ywc+fO5c5XdHS0Us9hv8sN9T28Y8cO7pgQoohxWQcyhGjDoUOHMGnSJPB4PBw8eBBffvml3HUHDRoEsVhsUHdCZbl9+zby8vIAQOqO6LRp0/DDDz+UQ6sMy9WrVwEAderUgbOzs8QyRXf/KxJzc3Pk5+ejoKAAEyZMQJs2bVC9evXybhapxExNTXH+/PnybgYhRAsox4LoHaFQiB9//BEA0LdvX4VBBWvIkCEIDAzUddPKVXJyMvd/GxsbiWW2trbw9fUt6yYZHPYYlzy+AODu7g53d/eybpLKXFxcMHv2bABAeno6Bg8eDLFYXM6tIoQQYggosCB6Z926dUhNTQUAjBs3TunnDRw4UEctqhjo4lD3DOUYz5w5Ey1atAAA3LhxA0uXLi3nFhFCCDEEFFgQvbN161YAgJOTE5o2bar08/r164cdO3agVq1aMpczDIOwsDB8+eWXcHFxgUAggLu7O3r27IlTp04p3HZqaipmz56Nhg0bwsrKCqampvD29kavXr2wbds2iEQiifXZqiHv3r0DAMyfP1+qooiyvv/+e/B4PAwdOlRq+zweD9WqVZNY//79+5g6dSoaN24MOzs7mJqawtXVFZ07d8aBAweU2mdmZiaWLl2KJk2awN7eHqampnB3d0enTp2wbNky7nUBQExMjNRrGjp0qMI2sp49e4YffvgBPj4+MDc3h729PRo3bowlS5YgMzNTav3i+ypewUgsFmP9+vUIDg6Gra2twkovslSrVg08Hg+7du0CUDQkqrSKMYmJiZg5cyYaNGgAGxsbWFpaolatWlyxAUX7Yf+xQ9pOnz7NvS/5fL7CY6YMIyMjhIWFwdbWFgAwd+5cPHz4UO3tJSYmYt26dfj666/h4eEBU1NT2NjYIDAwEHPmzEFSUpLM57Vp00bhcWUr67x8+VLq8ZJJ8kuWLCn1M8Tur+T77tatW/j2229RpUoVGBkZST2/sLAQ//zzD4YPH46AgABYWlrCzMwM1apVw4ABA3D37l21j52qDh06hDZt2sDW1hZWVlaoU6cOZs2ahYyMDMybN0/qGDx69Eirr+PAgQP48ssv4ezsDBMTEzg4OKBVq1aYN28eXrx4ofLrkfeeZ125ckXmuc/IyMD06dPh5+cHMzMzuLm5YfDgwfjw4YPKbShrqn6v/fnnn1LHoGQhjq+++krhcSzu/Pnz6NGjB9zd3WFqagpbW1s0adIEU6dOlXoPsO8peb8v8qrEqfN7Kuv9GxMTgzdv3mDIkCGoUqUKBAIB/Pz8MHPmzEpT6VHvlHeSByGqePnyJZdA1rZtW61tNzU1lWnTpg0DgPHy8mLmzp3LbN26lfn1118ZR0dHBgDTr18/Jjc3V+q579+/5xL3unTpwqxcuZLZvHkzM3nyZMbOzo4BwFhaWko8JzQ0lAkNDWWcnJwYAEzPnj25x9h/yrp58yYTGhrKjBgxgjs2xbdTPBny2LFj3DrNmzdnli5dymzatIkZP348Y21tzQBg/ve//zGFhYVy9/f06VOmatWqDAAmODiYWbFiBbNp0yZm4sSJ3Os1MjJi9uzZwzAMw2RkZHBtYfc9YsQIuW1krVy5kjEyMmKMjY2ZYcOGMZs3b2ZWrlzJNG7cmDtPz549k3hO8X2xx3b27NnMN998wwQFBTErVqxgNm7cyDRv3pwBoHSy9dGjR5nQ0FCmVatWDACmVq1aEu2/efOmxPqXL19m7O3tGQBMx44dmXXr1jGbNm1ievfuzQBgzMzMmP3795e6n5CQEGbZsmWMp6cnM2fOHGbz5s3MwIEDGQBqJVOXTMLevXs3d04CAgKY7OxspZ5XEnvenZycmF9//ZXZvHkzM2/ePKZhw4YMAMbT05OJiIiQet65c+cUHtfQ0FAmPj6eSUtLk3oPlSwA8OzZM6nPgbz99ezZkzuGe/bsYZydnZmpU6cyW7ZsYX766SfGyMhI4vk///wzA4Dh8/lM3759mbVr1zKrV69m+vfvz/D5fIbP5zNr1qyRe3y0lbz9008/cZ8v9jOxfPlyJjAwkKlZsyYzbtw47jywxys5OVlrr2PYsGEMAMbHx4eZM2cOs2XLFub3339nvvjiC+71HThwQKXXJOs9X1x8fLzUuV+/fj3TsGFDpl+/fszmzZuZFStWMLVr1+a+F1JSUlRqQ0m6TN5W53stKiqKCQ0NZWbMmCG3XRcvXlR4HFnz589nADBubm7M1KlTmc2bNzPLli1j2rdvz217+fLl3PqPHz9W+PsSGhrKPH78WGIf6v6esvsq/jqPHz/OeHp6MpMnT2a2bdvGzJ49m/tu7dq1q+KTQsoFBRZErxS/EBoxYoRWtllYWMi0a9eOAcDUrVtX6kfp/fv3jLu7OwOA+f7776We369fPwYAM3bsWKllHz9+ZFxcXORW0tBmVShlqnYcPHiQAcD88MMPUstiY2O517lixQqZz4+Pj2dcXV25Y1EyAImPj2d8fX0ZAMzq1aulni/volDeazEyMmLOnj0rsaywsJAZPHgwA4BxdXVlEhISZG6DPbYeHh5M3759Jdqanp7O2NnZqVzFSZnqRS9evGAsLCwYAMysWbOklm/dupW7uLt06ZLC/bi6ujIBAQFMUlKSxPIOHTpoJbBgGIYLVAAwEyZMUPp5xVlaWjIeHh5MfHy8xOMFBQXM0KFDGQBM/fr1GbFYLPP5qlSFKu09pMzngL1wtLGxYXx8fJi3b99KLP/hhx8kns9e0MsK+C9cuMBdlN+5c0fm/rQRWGzatInbxpEjRySWFRQUMN9++y0XEMk7V5q8jrNnz3JBYmpqqsQysVjMDBo0SKOKb8q8B9jX7+7uzqxatUpiWXJyMnfROn/+fLXawCoeWISHhzNCobDUf15eXqW2X9PvtcuXL5ca8Cg6ji9evGD4fD5jYWHBvHv3Tmr5rFmz5P4eKVsVStPf05Kv09vbm7l9+7bE8qtXr3LLr169qrA9pOzRUCiiV4pP6iUrgVYdoaGh3MRm69evh52dncRyLy8v/P777wCKJkS6du2axPJ///0XAGQmkVepUoVLNK8o+Hw+fvvtN6nHPTw8MH/+fABF82vI8uuvvyIhIQH29vZYu3Yt+HzJrxBXV1csWrRIo/aJRCJMmDABQFFFr5LHlc/nY+3atbC1tUVCQgKmTZumcHuJiYlYv369RFutrKwwceJEtGzZUqO2yjJmzBhkZWXBz89P5hCB4cOHIyQkBGKxGCNGjFCYt5GQkIClS5fCwcFB4vEff/wRvXv31kp7N2zYwFWFWrt2LS5evKjWdsaPHy9Vs9/IyAhr1qyBmZkZnjx5UuEmEBSJRJg4caJUVazvvvsOQ4YMkXisdu3aMvO02rdvj379+kEsFmPdunU6aWd2djZmzJgBAOjSpQt69uwpsdzIyAgbNmyQ+jzKou7rYL/nmjRpwg2hY/F4PMyZM0fp16MpMzMz7juCZW9vj2+++QZA0dBBbQkMDISzs3Op/0obgqXt7zV1nD9/HmKxGLVr10bVqlWlls+cORNGRkYa7UPT39OSQkJC0KRJE4nHWrduzQ1j1Oa5JtpBgQXRK+np6dz/zc3NtbLNDRs2ACi6sA4JCZG5Tu/evWFqaiqxPquwsBBAURKsLKNHj64wpRS7dOmCmJgYuRMEfvHFFwCA2NhYqTG8KSkp2Lt3L4CiSaysra3l7sPZ2Vnt8xMWFsblpAwYMEDmOra2tvj6668BALt37+aS+WUJCQmBk5OT1ONz5szRegneFy9ecLPt9u3bV+6PNPu6Xr9+zV2wyWJhYYGvvvpK6vH//e9/WLFiheYNRlGAvnv3bhgZGYFhGHz//fdISUlRaRsvXryQW0jB2toaNWvWBABcv35d4/ZqW69evaQea9eunUQOx4IFC7hSw7Kwnxtdvb6TJ09y5+R///ufzHXc3Ny4hHx5NHkd7PfcgwcPZI5t9/X1xfnz55Wq0qepLl26yAyiateuDQB49eqV1vYVFhaG8+fPl/qvtInwtP29pg72HL569QqfP3+WWm5mZobLly9j8ODBau9D09/TkthgsSRdnGuiHRRYEL1SvJdCG4lbIpEIDx48AAAEBQXJXc/Kygr+/v4AimbOLY79MV+2bBl+/PFHPH/+XGK5h4cHOnTooHFbtcHCwgJeXl7c3/n5+UhJSUFiYqJEbxAAxMfHS/z933//cfNkKCrda21tjc+fP2PkyJFqtbH4XW1F54RdlpeXx81+Kwv7A1QWVG07IP1+Kq5GjRowNtb9dEPNmjXjStDGxsZizJgxKj2/atWqXCDJMAxEIhH3nkpMTISVlRUA6fdUebO1tVWqRLCDg4PEvCU5OTlISkriXp+JiQkA3b2+//77j/u/ohnr69Spo3A7mrwO9nsuJiYGLVq0wNGjR5Gfn88t5/F46NChQ5mUXK5Ro4bMx9m742lpaVrbV4sWLdChQ4dS/5mZmSncjra/19TBnkORSITmzZvj77//RlZWlsQ6rVq1go+Pj1rb18bvaUllea6JdlBgQfRK8R/FkpWW1BEdHc0NRfHw8FC4LrtcKBRK9JysXr0aXl5eYBgGW7duRd26dVG3bl3Mnj0bT5480biN2hYTE4OffvoJPj4+MDU15S42nJ2dJQKGnJwciee9efOG+3+VKlV01j52P2y1FHmKn6/ibStJW0PmlFG8HYreTxWx7bNmzULz5s0BAPv27cOePXuUfm5+fj7WrVuHpk2bwtzcHLa2thLDRNgLpJLvqfKmyvG9fv06evfuDRcXF5ibm8PJyYl7fWxvTW5urk7aWbz3UNGFu6LPC0vd19GnTx/07dsXAPDw4UN8++23cHV1xeDBg3H8+HHupkNZkNdbyt4FZ+/MVyTa/l5TR+PGjTF16lRu20OGDIGLiwt69+6NPXv2yKxIpQpt/J6WVNq5LigoUKepRIcosCB6pfiF7+vXrzXeXkZGBvf/0u44FV9ePKjx9/fHo0ePMHfuXO6C+/nz51i4cCEaNGiAFi1aIDw8XOO2asOlS5dQp04dbNy4Eebm5li9ejWOHz/OdeeHhYXJfa4qx0oT7H7UPR8lKTPuXFuUPUYVse1sCVr2Yvunn35CbGxsqc8TiURo2bIlxo8fj2fPnmHs2LHYvXu3xDCR+vXr67r5alH2+C5ZsgStW7fG4cOH8cUXX+Cvv/7CmTNnuNc3ZcoUnbaz+AWfovdVaePjNXkdPB4P+/btw8GDB9GqVSsARcMjQ0ND0aNHD3h5eeksx6SksvxcaIu2v9fUtXTpUpw/f54bTpaZmYnDhw9jwIABcHd3x7x58yR6olShjd/TkvTxXFd2uu9jJ0SLatasCQ8PD3z8+BFPnjwBwzAqzflQUvG7IaXdTS2+vGTyooODA+bNm4c5c+bg6tWr2LdvH/bv34+0tDTcvHkTLVu2xL1790odqqBLubm5GDBgALKystCoUSPcuXOHG/rAKplXUZwqx0oT7H40OR/lRdljVBHbDgDVq1fHxo0bMXDgQKSmpmLIkCG4cOGCwufMnTsXd+/ehZGRES5duoTGjRtLraPMnXRt0fYkho8ePeISp8eOHSvz4lmZAEwT7FAyoOi9I6+nRdGdem29jt69e6N3796IiYnB/v37ERoaiufPn+Pz588YP348hEIhFixYUOp2Kpuy+l5T5v3PDt+Kj4/HoUOHEBYWhjt37iA9PR3z58/H27dv8ffff6u8b239nhL9RqEg0Tvs2P3ExETcvn1b6efNmzcPPXr0wKpVq7jHqlevzt0R+fTpk8Lnf/z4EQDg4uIi8UNfHJ/PR9u2bfHXX38hNjYWkydPBlCUD1LeP7bXr1/nxk6PHj1aKqgojZ+fH/f/0o6VJtj9ZGdnK0xeZM8HUJQ4WhEoe4wqYttZAwYMQP/+/QEU9XDJqxDGOnjwIICiakGyggptY+/KyxsCoe27vIcOHQLDMACKKl+Vh+KTIcbFxcldT1HSvbZfR7Vq1fDrr7/i2bNn+Oeff7jKZUuWLKFx7zJo43uteL6VNt7/bm5uGDt2LG7fvo2bN29y77PQ0FBEREQovR2Wtn9PiX6iwILonfHjx8PR0RFAUTk7ZcTFxWHJkiU4fvy4RGKatbU1VwmFTTqTJTMzE5GRkQCAtm3bSiybNWuWzBlrrayssGLFCgQHBwMomm21JE16W1RVvAqIvPGvxbuyS2revDk3rlXRsYqPj0fv3r3VLpdY/Pgq2g87vMzU1JTLDShvqra95HMqio0bN3IXGTNmzEB0dLTcddn3laIx1YreV4BqnwP2br28i7OoqCilt6UMTT832lC8LLKiGdIVzXyt6es4cuQI/vzzT5nLvv76a66EdX5+vtbPgSHQxvda8Z4qdd7/ly5dwpIlS2Qua9asmUSFppK/V8p8RrXxe0r0HwUWRO/Y2tpi9+7d4PP52Lt3b6lDNQBg8uTJyM3NRbNmzdC9e3eJZT/99BOAomEA8spFHj58mEtOLFkxZ9GiRdxdW1nYZMuS9byBoipNACTGtL558wa1atXC3LlzS3lVqime9Cnvx0dRLoidnR1XJvGff/6Re2ds//79OHz4sMxqRrJe77Vr11CrVi1s3rwZQNEdc7ZrXF4CsUgkwj///AMAGDhwYIXpSq9duzb3Q7l//365Q1PY1+Xn54dOnTqVWfuUZWtri7CwMBgZGSEnJwfv37+Xuy77vpL3nsrOzsbLly8V7k/W+wIoqmLTuXNnicfY0rXshUlxYrEYZ86cUbgvVWn6udGGrl27cj0C8r5rEhIS5Ja8BjR/HSdOnFA4V0Xx7cv6rqvstPG95ufnx/UIyHr/v337VmFPw7Vr1zBjxgy5ydKKziH7GQUkP6cTJ05ErVq1IBQKAWj+e0r0HwUWRC99+eWX2LhxI/h8Pnr16oVjx47JXC8nJwdjxozB3r174ebmhn379kndeRk4cCDatWsHoGjscclu/I8fP3Jjk4cOHYrWrVtL7Wfbtm149+6d1OMxMTHcBEB9+vSRWs6W0it+4fbgwQNERkZqPUG6efPm3A/HihUruB8CllAoLDWYWbx4MVxdXZGamoqff/5Zajzvq1evMG/ePNjZ2WHs2LFSz5f1em/fvo3IyEhufK6NjQ3WrFkDAPj777+l5gARi8X4+eefkZaWBldXVyxevFiZl19mNmzYAAsLC7x69UrmRIQ7d+7E5cuXwefzsWXLlgqbnNiiRQvMnDmz1PXYeSAeP37MzXPCYhgGU6dOLbXaDPu+KD7JWHx8PG7fvi31HmMDjZMnT0oFt3/88YfWqxN9++233HfGzJkzpYag3Lp1C6GhoVrdZ0lmZmbcpGKnT5+W+r4Ti8UYN26cwlwWbbwOoVCItWvXSj3OMAz33AYNGsgtEVqZaeN7zcLCgvv92b17t9TzJ0+eXGrFPoZhZE7cybYLKBoixSbos4qf0+Lf3+fOncOHDx+49542fk+JfqPkbaK3Ro4cCW9vb4waNQo9e/ZEcHAwunTpAk9PTxQWFuL58+c4dOgQ4uLi0KRJE+zbt0/mbKN8Ph9HjhxBjx49cOXKFdSvXx/Dhw+Hp6cnXr16ha1btyIxMRF9+/aVORTAysoKKSkpqFOnDgYPHoyAgAAYGxsjMjISoaGhSE1NRc+ePWVeaA8aNAjHjx/H4cOH4e/vDysrKyxfvhzm5ubo16+fUsfh1q1bePPmDW7dusU9Vry6U8+ePWFpaQmBQIDt27ejR48e+PjxIwICAvDDDz+gevXqiI6OxrZt2yQuTM6fP4/Y2Fg0b96cGz7m6uqKCxcuoEuXLtixYwdevHiBvn37wsLCAs+ePcP27dsBAEePHpU5Cd+gQYPw+PFjbNq0Cfb29sjLy8OSJUvg4uLCTQwFAEOGDEFSUhKmTp2KLl26YMiQIWjatCkyMjKwb98+3LlzB15eXjh9+jRcXFwk9sG+dvZi9smTJ9xjxV+LKo4dO4aMjAy8ffsWQNHdYXabVlZW6NGjB7du7dq1cerUKfTs2RPz58/HrVu30K1bNxgbG+PSpUs4cOAAzMzMsHPnTrRp00ZiP+fPn0dCQoLM/fj6+qJZs2Yqt/3t27dcudeEhARkZmZy26xfv77Cik2zZ8/G+fPnJd5bJc2dOxeXLl3C48ePMWDAAJw4cQItWrRAVlYWTp48icePH8PNzQ3x8fF4+/YtwsLC4Orqio4dO3Lb6NWrF2bMmIEPHz5gxIgRCAwMxN9//w2xWIyhQ4dK7G/8+PHYunUrYmNj0aJFCwwbNgzW1ta4dOkSoqKiMHPmTO6uKfs6O3ToADc3N+6zwpaBLn4sSraJ1aBBA8yZMwfz58/H6dOnERgYiL59+8LR0REPHz7Ejh074OPjw/UCsNvr2bMnEhIScPPmTYk5YtjPlarnc+TIkXj69Ck2bNiA3r17Y8iQIWjWrBnS0tKwd+9eODg4YMSIEVi4cKHM52vyOiwtLbnAf8KECTh16hTatm0LZ2dnfP78GUeOHMH9+/fh5uYmdcFbGkWfLXaG8aNHj0o859atWzA2Nubev+x7XNZ3YMeOHUudvK7kc4qXCT927BicnJxknq/iny32+6Z4+0vuW5PvNdaiRYvQtm1bnDlzBl9//TW6deuG/Px87NmzBw0aNEDHjh2xa9cuiXYMGDAAPB6PO4erVq3Cf//9h65du8Ld3R3Jyck4e/YsLl26BGtra+zdu1fqxlaDBg1Qr149PH36FD/++CP69u2LGzdu4MWLFxg5ciTXQ63J7yl7PIv3urDHnz2W7GdY1vtF1ozypBwwhOi5nJwcZsuWLcw333zDeHl5MQKBgLGwsGD8/PyY7777jjl+/DgjFotL3Y5YLGZCQ0OZTp06MU5OToyJiQnj6urKdO/enTl58qTc54lEImb79u1Mr169GB8fH8bc3JwxNjZmXF1dmS5dujD79+9XuN9NmzYxAQEBjKmpKePk5MR07NiRuXfvntKvf8iQIQwAuf+io6Ml1n/69CkzYMAAxt3dnTE2NmZsbW2ZZs2aMWvXrmUiIyOlnr9jxw6pfaanpzOLFy9mgoODGRsbG8bExISpVq0a8+OPPzKvXr2S29bCwkLmt99+Y3x9fRkTExPGzc2N6dmzJxMVFSVz/adPnzLDhw9nqlWrxggEAsbGxob54osvmN9//51JT0+X+RxFx0LWa1GGt7e33G16e3vLfI5QKGRmzJjB1KtXj7G0tGTMzc2ZmjVrMuPGjWNiYmJkPickJETufoYMGaJW23fs2CF3m3Pnzi31+W/fvmVsbGzkvk6GYZjMzExm/vz5TN26dRkzMzPGzMyMqVGjBjNmzBgmOjpa6nWFhIRIbePy5ctMy5YtGQsLC8bKyooJDAxk9uzZI3N/79+/ZwYPHsy4uroypqamjK+vLzNz5kwmMzNT5us9f/48wzCKPyuy2lTcyZMnmY4dOzJ2dnaMsbEx4+LiwnTp0oU5efKkzH1GR0crPPbqns+DBw8yrVu3ZqytrRkrKyumQYMGzIoVK5j8/Hxmzpw5DADG19dXq6+DdfnyZWbcuHFMYGAgY2dnxxgZGTHW1tZMUFAQM3fuXCYpKUnl16PosxUdHc1ER0eX+v5VdJwvX76sdFsUfXfIOl+K9qto3+p8rxV348YNplOnToytrS1jYWHBBAYGMlu3bmUYRvZ7PD8/n3vuvXv3mKlTpzJNmzZlHBwcGCMjI8bS0pKpW7cuM2nSJObDhw9y9xsTE8P06tWLcXBwYAQCAVOzZk1m3rx5TE5OjtS66vyeKnMeFX2GScXAY5j/XyaCEEIIIXpr0qRJWL16NYKDg2UWlCCEEF2rmIN7CSGEEMIRCoV4+vSpwnVevXoFAKhbt25ZNIkQQqRQYEEIIYRUcIcPH0ZgYKDcuSrS09Nx5coVAJCqfEcIIWWFAgtCCCFEDxQUFMis6MMwDMaPH4+MjAw0adIE33zzTdk3jhBCQFWhCCGEkAqPLRW7du1ahIeH4+uvv4arqyvi4uJw8OBBPHr0CHXq1MGhQ4cqbAljQojho+RtQgghpIIrKCjAqVOncOzYMdy7dw/v379HVlYWrK2tUadOHfTu3RsjR46Eubl5eTeVEFKJUWBBCCGEEEII0RgNhdISsViMT58+wdraWmpmZ0IIIYQQQvQRwzBIT09HlSpVSh1qSYGFlnz69AleXl7l3QxCCCGEEEK07sOHD/D09FS4DgUWWmJtbQ2g6KDb2NiU+f7FYjGEQiGcnZ0pcc8A0Pk0HHQuDQudT8NC59Ow0PnUDZFIBC8vL+5aVxEKLLSEHf5kY2NTboFFTk4ObGxs6MNkAOh8Gg46l4aFzqdhofNpWOh86pYyQ/3pqBNCCCGEEEI0RoEFIYQQQgghRGMUWBBCCCGEEEI0RoEFIYQQQgghRGMUWBBCCCGEEEI0RoEFIYQQQgghRGN6FVjcvHkT/v7+4PF4iImJKe/mEEIIIYQQQv4/vQgssrOzMXnyZLRu3RpRUVFa2WZkZCQGDhwId3d3mJmZwdfXF1OmTEFaWppWtk8IIYQQQkhlUuEDizdv3qBhw4Y4fPgwzpw5o5VtXrlyBY0aNcL9+/exc+dOREREYNasWfjzzz8RGBiIuLg4reyHEEIIIYSQyqLCz7z9/PlztG/fHsuWLYOVlZXG20tNTUWfPn3AMAxOnz4NHx8fAED16tUhEAgwYMAADB48GOfPn9d4X4QQQgghhFQWFb7H4uuvv8bGjRu1ElQAwLp165CYmIju3btzQQWrX79+qFKlCi5cuID//vtPK/sjhBBCCCGkMqjwgYWRkZFWt3fw4EEAQPv27aWW8fl8tGvXDgCwf/9+re6XEEIIIYQQQ1bhAwttyszMxPPnzwEAtWrVkrkO+/i9e/fKrF2EEEIIIYTouwqfY6FN0dHREIvFAAA3NzeZ67i7uwMoShpXJDc3F7m5udzfIpEIACAWi7l9lCWxWAyGYcpl30T76HwaDjqXhoXOp2pEIhGSk5NRtWpV8PkV714mnU/DQudTN1Q5npUqsGAv/gHA3Nxc5joWFhYAUGrZ2cWLF2P+/PlSjwuFQuTk5GjQSvWIxWKkpaWBYZgK+eVNVEPn03DQuTQsdD5VM3HiRDx//hyLFy9GUFBQeTdHCp1Pw0LnUzfS09OVXrdSBRbaNH36dEyaNIn7WyQSwcvLC87OzrCxsSnz9ojFYvB4PDg7O9OHyQDQ+TQcdC4NC51P1RgbG+Prr7+GjY0NXFxcyrs5Uuh8GhY6n7phZmam9LqVKrAofsGfnZ0tc52srCwAgK2trcJtCQQCCAQCqcf5fH65vZl5PF657p9oF51Pw0Hn0rDQ+VQNW4Sloh4vOp+Ghc6n9qlyLCvVUa9evTp4PB4AID4+XuY67OR4vr6+ZdYuQgghxFDx+XwwDFPezSCElIFKFVhYWlqiTp06AICXL1/KXId9PDg4uMzaRQghhBgidqw7BRaEVA6VKrAAgD59+gAALl68KLVMLBbj0qVLEusRQgghRD1sYEFVegipHAwysDh79iz8/PwwduxYqWXjxo2Do6Mjjh8/jujoaIll+/btw6dPn9CuXTu0atWqrJpLCCGEGCTqsSCkctGLwEIoFCI+Pl4iL0LWY6z169fjzZs32LBhA5KSkiSW2dvb48CBAwCAzp0749y5c4iOjsaOHTswcuRIVKtWDaGhobp9QYQQQkglQIEFIZWLXlSFCg4Oxrt37yQea9y4Mff/kl9YAwcOxPXr1/Hll1/C0dFRanvt2rXDw4cPsWDBAgwePBgpKSnw8PDAiBEjMHv2bNjZ2enkdRBCCCGVDQUWhFQeehFYxMTEqLR+v3790K9fP4Xr1KpVC3v27NGgVYQQQghRhHIsCKlc9GIoFCGEEEL0Dw2FIqRyocCCEEIIITrBMAyMjIwosCCkkqDAghBCCCE6wTAMeDweBRaEVBIUWBBCCCFEZyjHgpDKgwILQgghhOgEDYUipHKhwIIQQgghOkHJ24RULhRYEEIIIUQnKMeCkMqFAgtCCCGE6ATNY0FI5UKBBSGEEEJ0hnIsCKk8KLAghBBCiE5QjgUhlQsFFoQQQgjRCRoKRUjlQoEFIYQQQnSCeiwIqVwosCCEEEKIzlBVKEIqDwosCCGEEKITPB6PAgtCKhEKLAghhBCiMzwej3IsCKkkKLAghBBCiM5QjgUhlQcFFoQQQgjRCZp5m5DKhQILQgghhOgMBRaEVB4UWBBCCCFEJ3g8Hs1jQUglQoEFIYQQQnSGeiwIqTwosCCEEEKIzlBgQUjlQYEFIYQQQnSCkrcJqVwosCCEEEKIzlCOBSGVBwUWhBBCCNEJmnmbkMqFAgtCCCGE6AwFFoRUHhRYEEIIIUQn2BwLGgpFSOVAgQUhhBBCdIbP51OPBSGVBAUWhBBCCNEZGgpFSOVBgQUhhBBCdIKStwmpXPQmsDh79iw6duwIBwcHWFpaIjAwEOvXr1dr3GZhYSH++usvtGrVCnZ2djAzM4Ovry/GjRuH+Ph4HbSeEEIIqZwox4KQykMvAoulS5eic+fOMDMzw/nz5/Hw4UN07NgR48aNQ48ePVBQUKD0trKystC+fXuMGjUKtWvXxpUrV/Dy5UvMnj0be/bsQb169fD8+XMdvhpCCCGkcmAYhnIsCKlEjMu7AaW5fv06pk2bhoCAABw5cgQmJiYAioKNlJQUbNmyBUuXLsXMmTOV2t6kSZNw9epVdO7cGZs3b+Ye//7772Fvb48ePXrgf//7Hx4/fgxj4wp/eAghhJAKjYZCEVJ5VPgei3nz5gEAxo0bxwUVrMmTJwMAli1bhuzs7FK3lZmZiZ07dwIAxowZI7W8W7duqFq1Kl68eIHDhw9r1nBCCCGkkqMcC0IqlwodWAiFQly5cgUA0L59e6nl/v7+8PT0hEgkwpkzZ0rdXkREBHJzcwEAfn5+Ust5PB73+NGjRzVoOSGEEEKAonKzlGNBSOVQoQOL+/fvQywWw8TEBL6+vjLXqVWrFgDg3r17pW6vsLCQ+7+RkZHMdSwsLAAAjx49UrG1hBBCCCmJeiwIqTwqdBLBmzdvAADOzs7g82XHQO7u7hLrKuLj48N9wcXExKBGjRpS68TExAAA4uLiFG4rNzeX6/0AAJFIBAAQi8XlcmdGLBaDYRi6K2Qg6HwaDjqXhoXOp2qKH6+KeMzofBoWOp+6ocrxrNCBBXuxbm5uLncdtochLS2t1O05OzujTZs2uHz5Mnbu3ImOHTtKLA8PD8ezZ88AFOVjKLJ48WLMnz9f6nGhUIicnJxS26JtYrEYaWlpXAUOot/ofBoOOpeGhc6navLy8pCamgqRSITPnz+Xd3Ok0Pk0LHQ+dSM9PV3pddUOLHx8fAAUXazfuXNH3c2UuQ0bNqBFixbYt28fGjRogDFjxsDU1BS3bt3CsGHD4OnpidjYWFhaWirczvTp0zFp0iTub5FIBC8vLzg7O8PGxkbXL0OKWCwGj8dT2LtD9AedT8NB59Kw0PlUjUAggKOjIywtLeHi4lLezZFC59Ow0PnUDTMzM6XXVTuwiImJQYsWLZQu86oO9gJdUcWnrKwsAICtra1S26xduzbu3buHadOmYd68eZg2bRr4fD5cXV0xYcIEODk5Yfjw4XB2dla4HYFAAIFAIPU4n88vtzczj8cr1/0T7aLzaTjoXBoWOp/K4/F4XE5jRT1edD4NC51P7VPlWKodWJiamuLPP/9EnTp11N1EqdiEbaFQCLFYLPOFsbkQ8pK75W334MGDyM/PR0JCAkxMTODq6goAWL58OQCgfv36mjafEEIIqfQoeZuQykPtcM7b21tqXglZ8vPzce3aNbX2ERQUBD6fj/z8fLnJ2S9fvgQABAcHq7x9ExMTeHp6ckEFADx9+hQApPIvCCGEEKIahmHA4/EomZaQSkLtwKJ///7Yt29fqeslJyejbdu2au3DxcUFISEhAICLFy9KLY+MjERsbCysra3x1VdfKbXNDx8+4MKFCzKX5eTk4OzZs7C2tka/fv3UajMhhBBC/g+fz6ceC0IqCbUDixkzZuDBgwf49ddf8eHDB4XravKFMnfuXADA+vXrUVBQILFs5cqVAIApU6Zw1aGAoupOAQEB6NOnj9Rz/v33X3Tq1AnR0dFS+1qyZAmEQiGWLFkCe3t7tdtMCCGEEJp5m5DKRu0cC39/fzAMg3/++QcrVqyAubk5nJ2dwePxJNYrLCyUekwVISEhWLRoEWbOnImePXti/vz5sLKywvbt27FlyxZ06dIF06dPl3jO9u3bERERgYiICEybNg1BQUESyxmGQY8ePbB06VLUrl0bCQkJ3PamT5+OMWPGqN1eQgghhPwfCiwIqTw0qgpVXFZWFt69eydzXU0CC6Cod6RRo0ZYuXIl2rVrh/z8fNSsWRNr1qzBTz/9JDWLdp8+fbB//34EBARIJZe3atUKP/30E65fv47+/fsjMzMTzs7OaNWqFa5evYqWLVtq1FZCCCGEFKEcC0IqF7UDCx6Ph7t378LJyUnhep8/f0bTpk3V3Q2nc+fO6Ny5s1LrhoSEQCgUylzm7++P9evXa9weQgghhJSOciwIqTzUDiz4fD6qVq1a6nwPlpaWqFq1qrq7IYQQQogeo6FQhFQeaidv5+fnlxpUAICTk5PMRGlCCCGEGDZlkrd37dpVhi0ihOiSVqclzMjIQEZGhjY3SQghhBA9xufzFeZYHDx4sAxbQwjRJY0DiydPnqB///5wcnKCra0tbG1t4ejoiAEDBuDJkyfaaCMhhBBC9BCbvK2ox6KwsLAMW0QI0SWNAovQ0FA0btwY+/btQ3JyMhiGAcMwSElJwd69e9G4cWOEhoZqq62EEEII0TMUWBBSeaidvP3w4UMMHz4cVlZWGDFiBBo3bgxXV1cAQEJCAu7evYvQ0FD88MMPqFevHho2bKitNhNCCCFED7A5FoqGQlFgQYjhUDuwWLZsGQICAnDhwgWZJWcHDhyI2bNno2PHjli2bBn27NmjUUMJIYQQon9KKzdLc1wQYjjUHgp17do1rFixQuE8Fs7Ozli+fDmuXr2q7m4IIYQQosdoKBQhlYfagUViYiJq1apV6nq1atVCUlKSurshhBBCiJ6i5G1CKhe1AwsHBwe8efOm1PVevXoFe3t7dXdDCCGEED1WWo4FDYUixHCoHVi0atUKv/76q8J5K9LS0jBt2jS0bt1a3d0QQgghRE/xeLxScyyox4IQw6F28vbkyZPRokUL+Pv7Y/DgwWjcuDFcXFwAFFWFunPnDnbt2oWkpCRs2LBBaw0mhBBCiP6goVCEVB5qBxZNmjTB2rVrMWHCBCxbtkzmOjweD+vWrUNwcLDaDSSEEEKI/qLAgpDKQ6MJ8saMGYNr167h66+/hrm5OTdBnrm5Obp27YobN25g9OjR2morIYQQQvQIm7wtL4+CYRjKsSDEgKjdY8Fq1qwZTpw4AbFYjMTERACAk5MT+HyNYhZCCCGEGABFORYUWBBiWLR29c/n8+Hi4gIXFxfw+XxkZWXhzz//xIsXL7S1C0IIIYToEXbmbXmBhVgsVjhMihCiX9QOLHx8fBTOT5Geno4xY8agYcOG2Ldvn7q7IYQQQogeUxRYsEOoCSGGQe3AIiYmRmHClaurK5KSkjBhwgQsWrRI3d0QQgghRE8xDAM+ny93uJNYLKahUIQYEJ0mQtjb22PMmDF4+/atLndDCCGEkAqKeiwIqTyUTt4WiURITU0FAO5LIDY2Fjk5OXKfk5mZiV27dsHc3FyzVhJCCCFEL1FgQUjloXRgsXr1aixYsEDiMWXnpxgwYIBqrSKEEEKI3mOTtxUNhaLAghDDoXRgYWdnh6pVq3J/v3//Hh4eHjAyMpK5Pp/Ph52dHUJCQjBv3jyNG0oIIYQQ/UPlZgmpPJQOLCZMmIAJEyZwf/P5fNy/fx8uLi46aRghhBBC9Bs7QR6VmyWkclA7eXvIkCGUO0EIIYQQhSjHgpDKQ+2Zt3fs2KHNdhBCCCHEwCiTY0FDoQgxHGoHFgBw8uRJMAwDExMTdO7cWWLZ1q1b0ahRIwQFBWnUQEIIIYTor9JyLKjHghDDofZQqDNnzqBHjx7o2bMnRowYIbX88OHDaNy4MWbOnKlRAwkhhBCiv2goFCGVh9qBxcGDB2FtbY3du3cjOjpaavnRo0exfv16rF69GocOHdKokYQQQgjRP8okb9NQKEIMh9pDoW7duoVFixahX79+MpebmZlh9OjRyMjIwJo1a9C7d2+1G0kIIYQQ/aQox4J6LAgxLGr3WLx79w7t27cvdb2uXbvi5cuX6u6Gc/bsWXTs2BEODg6wtLREYGAg1q9fr9adjpycHGzduhWtWrWCp6cnTE1N4eLigs6dO+PEiRMat5UQQgghRUGFohwLKjdLiGFRO7Dg8/kwNi69w8PExATZ2dnq7gYAsHTpUnTu3BlmZmY4f/48Hj58iI4dO2LcuHHo0aMHCgoKlN5WVlYWWrRogR9//BHW1tbYu3cvIiMjERYWhpSUFHTv3h1TpkzRqL2EEEIIKVJajgUNhSLEcKgdWNSoUQNHjhwpdb0jR47Az89P3d3g+vXrmDZtGgICAnDkyBEEBQWhZs2aWLp0KX788UecPHkSS5cuVXp7f/31F8LDw1G9enUcO3YMrVq1QvXq1dGpUyecPn0a1tbWWLFiBcLDw9VuMyGEEEJogjxCKhu1A4s+ffpgzpw5WLVqFTIzM6WWZ2ZmYuXKlZgzZw769u2rdgPnzZsHABg3bhxMTEwklk2ePBkAsGzZMqV7RV69egUACAoKgqmpqcQyBwcH1KxZEwBw+fJltdtMCCGEkCJ8Pp9yLAipJNQOLCZOnAh/f39MmTIFjo6OaNiwITp27IiOHTuiYcOGcHR0xNSpU+Hv74+ff/5ZrX0IhUJcuXIFAGTmc/j7+8PT0xMikQhnzpxRapsNGjQAAEREREh9meXk5HAVrmhWcUIIIURz1GNBSOWhdmBhbm6OCxcu4Msvv0ReXh6ePHmCixcv4uLFi3jy5Any8vLw1Vdf4cKFC2pfpN+/fx9isRgmJibw9fWVuU6tWrUAAPfu3VNqm8OHD0f37t3x/PlzjBkzBnFxcWAYBtHR0ejfvz+Sk5NhamqKjh07qtVmQgghhBRhZ96mHAtCKgeNZt52dnbG6dOn8fDhQ5w7dw7v3r0DAHh7e6NTp05o1KiRRo178+YNtx8+X3YM5O7uLrFuaYyNjXHs2DGcPXsWU6dORZUqVWBsbMwlgFtaWmLTpk2oUaOGwu3k5uYiNzeX+1skEgEov5rc7F0f+oI2DHQ+DQedS8NC51M17FCnwsJCmcessLCwXI8nnU/DQudTN1Q5nhoFFqxGjRppHETIwl6sK+rxsLCwAACkpaUpvd0NGzbgl19+QVBQEE6fPg1vb2+8ffsW//77LwYNGoTGjRuXuo3Fixdj/vz5Uo8LhULk5OQo3RZtEYvFSEtLA8MwcoMwoj/ofBoOOpeGhc6nanJzc5GYmIicnBx8/vxZarlQKIRYLJa5rCzQ+TQsdD51Iz09Xel1tRJYKCISifDzzz9j+/btut6VUjZs2ICxY8eievXquHjxIgQCAQAgICAAbdu2hb+/P3r37o3ly5dLJYsXN336dEyaNIn7WyQSwcvLC87OzrCxsdH56yhJLBaDx+Mp7N0h+oPOp+Ggc2lY6HyqxtTUFK6urtx8USWlp6eDYRiZy8oCnU/DQudTN8zMzJReV+eBRXZ2Nnbt2qVWYMFeoCuq+JSVlQUAsLW1VWqbS5YsAVBUZYoNKliWlpYYPXo0Zs2aBWNjY6xYsULudgQCgdTzgaLqF+X1ZmYnIqIPk2Gg82k46FwaFjqfyuPxeDAyMgIAucervO8u0/k0LHQ+tU+VY6lRYJGTk4ONGzfi1KlT+PjxI/Ly8qTWKSwsVHv7bMI221Uq64XFxcVJrKvI58+fERsbCwCoXbu2zHXYxzdv3oylS5dyX4iEEEIIUY0yydtUFYoQw6F2YJGdnY2QkBDcv3+/1HV5PJ5a+wgKCgKfz0d+fj7evHkjM6H65cuXAIDg4GCVti2vTWzwkp6eDpFIBHt7exVbTQghhBBllFfBE0KIbqjdT7R06VK8fv0au3fvxqtXr2BhYYGrV68iOjoa0dHRuHHjBsaPHw8LCwtcuHBBrX24uLggJCQEAHDx4kWp5ZGRkYiNjYW1tTW++uqrUrfn5OTEBQqRkZEy12EfNzc3V3p4FSGEEEKksb0R8m7mUY8FIYZF7cDi8OHDWLRoEb777jv4+vqCx+PBw8MD3t7e8Pb2RvPmzfHHH39g0qRJ2LVrl9oNnDt3LgBg/fr1XElY1sqVKwEAU6ZM4apDAUB4eDgCAgLQp08fiefw+XwMHDgQQFESd8nt5ebmYtOmTQCAHj160Pg8QgghRAtogjxCKge1r5zfvn3L9SYA8mfW7Nevn8zeBmWFhIRg0aJFeP78OXr27Inw8HBERUVh2rRp2LJlC7p06YLp06dLPGf79u2IiIjAoUOH8PjxY4llCxcuRHBwMKKiotC1a1fcuHEDHz58wNWrV/Hll1/i3bt3qFmzJlatWqV2mwkhhBBS+lBomnOAEMOidmBhamoq0Utgbm7OJUYXl5eXp3F96hkzZuD06dPIzs5Gu3bt0KhRI/z7779Ys2YNTpw4AWNjyVSRPn36wMnJCa1bt0adOnUkltnY2ODGjRtYs2YNMjIy8M0336B69ero3r07cnNzsWTJEoSHh8PNzU2jNhNCCCFEMRoKRYhhUTt529vbGw8fPkS1atUAANWqVcPff/8t0YsBABs3btTKvA6dO3dG586dlVo3JCQEQqFQ7nJTU1OMHz8e48eP17hdhBBCCFFMXs8FDYUixLCoHVi0bNkSv/zyC6pWrYqgoCB07twZv/32G+Lj49GxY0cAwOnTp3Hx4kX06tVLaw0mhBBCiH5ggwYqN0tI5aB2YNG3b19s3boVAwcOREREBCZNmoSwsDCcOXMGZ8+eBVD0hWFra4uFCxdqrcGEEEIIMQxUbpYQw6JUYPHkyRM8evQINWvWRNOmTQEArVq1Qk5ODreOjY0Nbt68iQULFuDatWsQi8Vo3LgxZsyYAT8/P920nhBCCCEVFjsESlG5WUKI4VAqsJg9ezbOnj2LOXPmcIGFLC4uLli/fr3WGkcIIYQQ/aeo3Cy7XN3JdAkhFYdSVaEePHiAXbt2YebMmdxj7dq1Q2pqaqnPFYvFeP/+vdoNJIQQQoh+Kq1Hgl1Ow6EIMQxKBRZJSUlo1qyZxGNXrlxBXl5eqc8VCoWoXr26eq0jhBBCiMEqLbmbEKJflAosqlSpggcPHqi9E/rCIIQQQiovReVmAbpOIMRQKJVj0aZNG3z//fc4ceIEqlatyk1It2LFClhZWSl8bkZGBo2bJIQQQioh9vdfUblZgIZCEWIolAosFixYgBs3buDvv/+WeHzFihUKn8fj8SghixBCCCEyUY8FIYZFqcDCw8MDT548wZkzZxAVFYWsrCz89ttvmDRpUqk9Funp6Vi9erVWGksIIYQQ/aFs8jYFFoQYBqUnyBMIBOjRowf394IFCzBlyhS4uLgofF58fDxWrVqldgMJIYQQot9Ky7GgoVCEGAa1Z97esWMHbG1tS13Pzs4OO3bsUHc3hBBCCNFTyuZYUI8FMQRz585FVFQUeDweVq9eDVdX1/JuUplTqiqULEOGDIFAICh1PTMzMwwZMkTd3RBCCCHEQFGOBdFnV65cwbFjxwAUvZfv37+PrVu3olq1avj48aPU+hMmTCjjFpY9tXssCCGEEEI0QT0WRJ8lJiYiKSkJAPD+/XtUq1YNlpaWsLCwQH5+vtT6jx8/RmFhIYyMjMq6qWVG7R4LQgghhBBF2IBBXo4FlZsl+qygoICbLPrly5eoXbs2AMDExAQFBQVS6+fm5iI3N7dM21jWKLAghBBCiE65uLigffv2mD9/vsTjNBSK6LPCwkLk5+eDYRiMGzcObdu2BVAUWMjqscjNzUVOTk5ZN7NMUWBBCCGEEJ1geyq2bNmCTZs2QSQSSSynoVBEnxUUFCA/Px8FBQWoX78+6tSpA4ACC0IIIYQQnWInzS2Oys0Sfcb2WOTl5cHU1JR73NjYmAssxGIx938KLAghhBBCtEBWYEE9FkSfFQ8sTExMuMeL91iMGDECDRs2xO3btymw0ERWVhb+/PNPvHjxQle7IIQQQkgFVTJY4PF4Uj0TlGNB9BmbvJ2fny/RY1E8eVsoFGLUqFFITU2lwEIRHx8frsSWLOnp6RgzZgwaNmyIffv2qbsbQgghhBgAPp8vt8eChkIRfSRvKFTxHguxWAwrKytkZWVRYKFITEwMCgsL5S53dXVFUlISJkyYgEWLFqm7G0IIIYToIYZhJMrMysuxkBVwEKIP2ORtRYEFAJibmyM7O5sCC03Z29tjzJgxePv2rS53QwghhJAKRpnAgmEYGBkZUWBB9JIyyds8Hg8WFhaVpsdC6Zm3RSIRUlNTAfxf12VsbKzCA5SZmYldu3bB3Nxcs1YSQgghRK8oG1jw+XwaCkX0EttjkZ+fLzN5m31fW1hYIC0tDQC46+ZBgwZh1qxZ8Pf3L/uG65DSgcXq1auxYMECiceCg4OVeu6AAQNUaxUhhBBC9Jqs5G1ZQ6Gox4LoK0U5FgUFBRCJRLC1tYW5uTlSUlLA5/ORk5ODjx8/4tOnT+jRowcePHgACwuLcnwV2qV0YGFnZ4eqVatyf79//x4eHh4wMjKSuT6fz4ednR1CQkIwb948jRtKCCGEEP2ibI8FBRZEHxUWFiIvL09ujkVycjIcHR1hYWGB1NRU2NjYYM+ePdi8eTN++uknnDlzBllZWZUzsJgwYQImTJjA/c3n83H//n24uLjopGGEEEII0V+yhkLJKjdLPRZEXxUfCiUrsJgyZQp69OjB9VjY2tri1KlTSEhIgIuLC65cuYLs7OxyfAXap3by9pAhQyh3ghBCCCEylQws5JWbNTIyohwLopfkTZDHJm/n5eVh0KBBXI+Fra0t7OzsuJvybLUoQ6J0j0VJO3bs0GY7CCGEEGJAlC03Sz0WRF+VVm6Wff8X77Hw8vLi1jPEwELr5WYZhsG2bdswduxYLF++nMuC19TZs2fRsWNHODg4wNLSEoGBgVi/fr3KdznatGkDHo9X6j87OzuttJsQQgghVG6WGJ7SkrdZbI+FnZ0dPD09ucfNzc2RlZVVpm3WNbV7LO7du4emTZsCANatW4cxY8YAAPr164dDhw5xXxJbt27FvXv3YGNjo3Yjly5dimnTpqFr1644f/48rK2tsW3bNowbNw7nzp3DkSNHYGys/EtxdHSEk5OT3OWRkZGoXbu22u0lhBBCKjsqN0sMHRtYyMuxYJmbm3OBRfE0AkPssVA7sDhw4AAcHBywZs0adOnSBQBw6dIlHDx4EFZWVvj111+Rl5eHlStXYsOGDZg+fbpa+7l+/TqmTZuGgIAAHDlyhBvDtnTpUqSkpGDLli1YunQpZs6cqfQ2x44dK7dS1YULF9CxY0eMGzdOrfYSQgghhIZCEcNXUFDAVYWSNY8Fiy0zW7duXfz444/c44YYWKg9FOrff//F0qVL0b9/f27Y0NatW8Hj8bB69WrMnDkT8+fPx5IlS3Dw4EG1G8gGAOPGjZM4aQAwefJkAMCyZcuUPjH+/v6oUqWK3OVr166Fm5sb+vTpo16DCSGEEEIzbxODp2jm7by8PIl1c3NzYWZmBnt7e+4xCwsLCixYr1+/RuvWrbm/CwoKcObMGVhbW2PQoEHc4x06dMC7d+/U2odQKMSVK1cAAO3bt5da7u/vD09PT4hEIpw5c0apbf71118YMWKEzGVv377FqVOnMGrUKKkghhBCCCHKU7bcLA2FIvqqoKAAYrFYZo5FRkYGBAIB95iFhYVUNVXqsShGIBBI3GE4f/480tLS0K1bN4mDKxAI1E5MuX//PsRiMUxMTODr6ytznVq1agEoyvnQ1IYNG2BsbIyRI0dqvC1CCCGE/B9F5Wapx4Loo8LCQq60bMnAQiQSSUx89/jxYwwcOFDi+YYYWKidY1G9enVcu3YNNWrUAFCUwM3j8dCvXz+J9SIiIuDm5qbWPt68eQMAcHZ2Bp8vOwZyd3eXWFddmZmZ2L59O/r06aNUe3Nzc5Gbm8v9LRKJABTdfSmPOy9isRgMw9BdHwNB59Nw0Lk0LHQ+lVdYWAgA3LFij1vxY1dQUAAjIyMUFhbSbyfRWFmfT/b9m5ubC2NjY26/RkZGEIlEcHJy4h5jr1eLt00gECAzM7PCv/9UaZ/agcWAAQMwYcIEPH78GO/fv8fZs2dRtWpVdO7cmVsnNTUVCxcu5KpHqYq9WFc0ER8bDWpa1jY0NBSpqalKJ20vXrwY8+fPl3pcKBQiJydHo7aoQywWIy0tjauwQfQbnU/DQefSsND5VF56ejpyc3Px+fNnAEW/6dnZ2dzf7GMMwyAxMVHi8bJC59OwlPX5zMjIQGFhIZKTk5GRkcG9hzMyMpCcnIzq1asrfF/n5ORAKBSWy3tfFenp6Uqvq3ZgMWbMGBw7dgzr168HUHTxzyZvA8D8+fOxcuVKZGZm4pdfflF3N2Vm3bp1aNy4MZo0aaLU+tOnT8ekSZO4v0UiEby8vODs7KxRaV11icVi8Hg8hb07RH/Q+TQcdC4NC51P5QkEApibm3OzDJuZmUEgEHB/A4ClpSUEAgHs7e0lHi8rdD4NS1mfTxMTE1hYWMDU1BSurq7ce9ja2hrZ2dlwdHRU+L6uUqUKjIyMyuW9rwozMzOl11U7sDA3N8e1a9dw7do1CIVCNGvWDB4eHtzyDh06oFq1agCAr7/+Wq19sBfoisafsfkbtra2au0DKCox++LFC4SFhSn9HIFAIJGUw+Lz+eX25cTj8cp1/0S76HwaDjqXhoXOp3JKHicjIyMAkDhuPB4PRkZG3LoVoZ1Ev5Xl+SwsLISRkREKCgpgZmbG7VMgEHA5ForaYWlpiZycnAr/3lOlfWoHFkDRyQsJCZG5rEWLFmjRooUmm+cStoVCIVc5oqS4uDiJddWxbt06KjFLCCGE6JCiCfIoeZvoIzZ5u2RVKCMjI6Snpyscyg8YZvK21kKktLQ0PHv2DM+ePdM434EVFBQEPp+P/Px8ucnZL1++BAAEBwertY/o6Gj8888/GDlypMSbghBCCCHqU7bcrJGRUYVPXiVElsLCQvB4PHz69ElimgIej4fs7GylAgt1K6dWVBoHFmfOnEHz5s3h6OiIBg0aoEGDBnB0dESLFi1w9uxZjbbt4uLC9YhcvHhRanlkZCRiY2NhbW2Nr776Sq19rF+/HkZGRlRilhBCCNGikoEFlZslhkYsFmPw4MGoXr06V/WJlZ+fL1FuVhaBQCAxQ7ch0CiwWLx4Mbp27Yrbt29zJb7YMl+3bt3C119/jcWLF2vUwLlz5wIoCgAKCgoklq1cuRIAMGXKFImTFx4ejoCAAPTp00fqOcUVLzFb8g1BCCGEEPUpM/M2O8yZAguir/r164cFCxZIBREODg4Ss2zLYmpqKjF1gSFQO7C4cuUKZs6cCV9fX6xYsQLXrl1DZGQkIiMjce3aNaxYsQI+Pj6YNWsWrl69qnYDQ0JCsGjRIjx//hw9e/ZEeHg4oqKiMG3aNGzZsgVdunTB9OnTJZ6zfft2RERE4NChQ3j8+LHcbataYpYQQgghyikZLMjLsaChUMQQJSUloUePHgrXMTU1RV5eXtk0qIyonby9evVqtG3bFqdOnZIqQ1WjRg20bNkSP/30Ezp37oxVq1bJTfJWxowZM9CoUSOsXLkS7dq1Q35+PmrWrIk1a9bgp59+4ipNsPr06YP9+/cjICAAderUkbvd9evXIzg4WO15NgghhBAinzI9FjQUilRWhhhUqx1Y3Lp1C8eOHVNY21YgEGDBggX49ttv1d0Np3PnzhKT7ykSEhICoVBY6nrPnj3TtFmEEEIIkUGZoVCUY0EqO0N776s9FIqdEK403t7e3AzahBBCCKkclA0s+Hy+wd21JaSyUjuwcHFxwdOnT0td79GjRxV+RkFCCCGEaJcq5WYN7a4tIcoq/hkxBGoHFu3atcOkSZPw4cMHuetER0dj8uTJ6NChg7q7IYQQQogBoHKzhBg+tXMspk2bhsDAQNSqVQvdunVD48aNuZ6JhIQE3LlzBydPngQA/Prrr9ppLSGEEEL0gqwei5LYcrM0FIroI20ExIYWVKsdWNSqVQt79uzBwIEDsX//fhw4cEBiOcMwsLS0RFhYGPz9/TVuKCGEEEL0R8nAQt461GNBiOHQaIK8Hj164NmzZxg7dixq1qwJgUAAgUCAmjVrYty4cXj69Cm6d++urbYSQgghRE8oE1hQjgXRZ9rIjzC0HAu1eyxY1apVw9q1a7XRFkIIIYQYCOqxIKR0hvbe16jHghBCCCFEWfImyKMcC0IMg9o9FgUFBdi0aRMYhoFAIMDIkSMlli9atAi1a9fWyuR4hBBCCNEv1GNBDJ023reGNhRK7R6LI0eOYMKECfj555+xbds2qeWPHz9G7969MXDgQLoTQQghhFQyygYWssrQElLRPX36FBkZGeXdjApH7cDi6NGjcHd3x82bN3H37l2p5QcOHMCpU6dw9uxZbN++XaNGEkIIIUS/yAosSv5NQ6GIvjp48CB+/vlnjbcja+JIfaZ2YHH37l0sWbIETZs2lbtO586d8fvvv2Pz5s3q7oYQQggheoiGQhFDJhKJULduXY23Y2pqiry8PC20qGJQO7D4+PEjmjVrVup6bdu2xatXr9TdDSGEEEIMTHx8PBYsWICrV69SYEH0kkgkgq2trcbbEQgEFFgARQciPz+/1PUKCgpQWFio7m4IIYQQoocU9Vi8ePECaWlpWL16NerWrWtQQ0FI5ZCWlgYbGxuNt0M9Fv9fQEAAdu7cWep6O3fuREBAgLq7IYQQQogekhVYsD0TYrEY3t7eCAwMhImJCfVYEL2Tn58PU1NTjbdjamqK3NxcLbSoYlA7sBg0aBBWrFiB8ePHyxzqFBUVhXHjxmHFihUYMmSIRo0khBBCiH5R1GNRWFgIIyMjAEXJqxRYEH2jrfesoQ2FUnseixEjRuDQoUNYv349NmzYAGtrazg7OwMAhEIh0tPTAQBt2rTBiBEjtNNaQgghhOgFRRdeYrEYfH7RvU1Dq4pDiCpoKNT/Z2xsjNOnT2PUqFEwNjaGSCTCmzdv8ObNG4hEIhgbG2PUqFE4deoUd1eCEEIIIZWHvHKzxQMLmseCVGampqY4efIkPn/+XN5N0Qq1eywAwMzMDBs3bsS8efNw+fJlvHv3DgDg7e2Ntm3bwsXFRSuNJIQQQoh+UTQUqmSPBQUWpLIaMmQINm7ciDNnzhhE6oBGgQXLxcUFffv21camCCGEEGIAKMeCGKr8/HwYG2vlEho1a9bEl19+iejoaK1sr7ypPRSKEEIIIUQeZXss+Hw+5VgQvZKZmQkrKyutbc/S0hJZWVla2155osCCEEIIIWWieLlZGgpF9FVWVhYsLCy0tj1LS0tkZmZqbXvliQILQgghhGidKjkWQqGwLJtGiEays7Nhbm6ute1ZWFhQYEEIIYQQIk9pORZsYNG4cWNs2bKlLJtGiEa0HVjQUChCCCGEEAVkBRbFy82yyds1a9aEl5dXmbePEHVRj4V8FFgQQgghROuUHQpFiL6hHgv56FNNCCGEkDJFgQXRZ9oOLMzMzJCdna217ZUnnX+qMzMzMWPGDF3vhhBCCCEVCPVYEEOVlZWl1cBC3udEH+n8U52RkYGlS5fqejeEEEIIqUBkBRZsWdniE+QRom+ys7O1Wm7WkCg1beCwYcPU3oG2unbOnj2LlStX4sGDB8jNzYW/vz+GDRuGMWPGqH3X459//sHWrVtx584dJCcnw97eHj4+PmjVqhV+/vlnuLu7a6XthBBCSGVDPRbEUGVnZ8PR0bG8m1EhKRVY7Ny5U+4yRRPbsMs07eJZunQppk2bhq5du+L8+fOwtrbGtm3bMG7cOJw7dw5HjhxRaWr1wsJCDBs2DMePH8eMGTOwcOFCWFlZ4cWLF5g2bRqWLVuGjh07UmBBCCGEqEnVwEIb1wuElAVt51gYEqWvxv/44w/Y2tpKPHb58mUcOHAAvXv3Ru3ateHm5gYAiI+PR0REBA4dOoSmTZtiyJAhajfw+vXrmDZtGgICAnDkyBGYmJgAKAo2UlJSsGXLFixduhQzZ85UepvTpk3D7t27cfPmTTRu3Jh7vFq1avD390fLli0hEAjUbjMhpPyJxWJ8+PAB3t7e5d0UQsj/V7zcbPHAwsjISKIELSEVmS4Ci9zcXLx+/Rp+fn5a3W5ZUzqw6NevH1xcXLi/b926hfXr1yM6Ohqurq4yn7Ns2TJ07txZKiBRxbx58wAA48aN44IK1uTJk7FlyxYsW7YMkyZNUuokR0ZGYvXq1fjf//4nEVSwfH19ERcXp3Z7CSEVw/Pnz7F8+XL8/fff5d0UQiql0ibIKx5E8Pl8yrsgekMXgcWwYcO4m+X6TKkBjmfOnIGDg4PEYwsWLMCSJUvkBhUA4ObmhuXLl2PVqlVqNU4oFOLKlSsAgPbt20st9/f3h6enJ0QiEc6cOaPUNrdt24bCwkJ07txZrTYRQvRDREQEUlJSyrsZhFRaqgyFMjIyQmFhYVk1jRCN6CKwaN68OdLT07W6zfKgVGDx5ZdfSuUw3L17F/7+/qU+19/fH0+ePFGrcffv34dYLIaJiQl8fX1lrlOrVi0AwL1795Ta5vnz5wEAfn5+2L17N9q0aQNXV1e4u7ujQ4cOCAsLk5szQgjRHy9fvqTAgpByRIEFMVS6CCysrKyQkZGh1W2WB+UznkvIzc1FVFQUPD09Fa4XGRmJgoICtfbx5s0bAICzs7Pc6hFsgjW7riKFhYV4/vw5gKI8i7dv32Lx4sUIDAxEbGws5s+fj0GDBuHMmTMICwtTmESWm5uL3Nxc7m+RSASg6MtSLBYr9wK1SCwWg2GYctk30T46n5qLjIyEkZERJkyYALFYjDVr1pRLO+hcGhY6n8orLCyUOlbsbyQbRLDL+Hw+CgoKyvy40vk0LGV1PjMzMyEQCLS6HwsLC6Snp1fI96IqbVI7sKhfvz4mTZqEc+fOSeReFJeQkIDJkyejfv36au2DvVhXFBWydYTT0tJK3V5aWhry8/MBANeuXUN4eDgaNWoEAAgICEDLli1Rt25d7NmzByEhIRgxYoTcbS1evBjz58+XelwoFCInJ6fUtmibWCxGWloaGIahEn4GgM6n5pKSkgAAr169Ql5eHj5//lwu7aBzaVjofCovOTkZWVlZEp899rOYlpYGkUjELcvPz0d8fHyZ/37S+TQsZXE+f/jhB4hEIp38rpT8vFQUqgzRUjuw+OWXX9C7d2/4+fmhR48eCAoKgrOzMxiGgVAoxIMHD3D8+HFkZmbi0KFD6u5Gq7Kysrj/t2rVigsqWBYWFvjxxx8xY8YMrFu3TmFgMX36dEyaNIn7WyQSwcvLC87OzrCxsdF+40shFovB4/EU9u4Q/UHnU3MmJiYoKChAzZo1ERMTAwcHB5XKUmsLnUvDQudTefb29rCyspK4+WhqagoXFxdYWFjA0dGRW2ZhYQEHBwc4OTmVaRvpfBqWsjiffD6fy//VNvbzUdGYmZkpva7av7LffvstFi9ejFmzZmH37t3YvXu3xHI2Wly8eDF69uyp1j7YC3RFk+yxwYIylaeK93wEBATIXCcoKAhAUUWZrKwsuTMrCgQCmSVp+Xx+uX058Xi8ct0/0S46n5rh8Xiws7ND1apVkZycjMzMTNjb2yt8zsmTJ7F582YYGRkhLCwMVlZWWmsLnUvDQedTObKOE/s3wzAwNjbmlhkbG5dbrwGdT8Oi6/PJbl/ftq0JVdqkUet//fVX3Lt3D99//z18fHxgamoKU1NT+Pj4YNiwYbh//z6mTp2q9vbZhG2hUCh3fBdbGlZecndxdnZ2XNRVssoVy9raGkBRYJSamqpqkwkhFYi9vT08PT1hY2NTalfukiVLsHfvXhw5cgQeHh6U+E2IBkQiER49eqRS8nZFHFtOSEm6LPCTkZGBBg0aoFu3bujYsaNKc7RVFBqPC2jYsCG2bdumjbZICQoKAp/PR35+Pt68eYMaNWpIrfPy5UsAQHBwcKnbMzIyQv369XH37l0kJCTIXId9nL3bSQjRX46OjqhatSqsra25nC15YmJisHz5cpiYmMDU1BR5eXll1EpCDM+xY8dw9epVTJw4UebyknNWUFUoQooKA3Xp0gWLFy/Gp0+fsGDBgvJuksoqXn9LMS4uLggJCQEAXLx4UWp5ZGQkYmNjYW1tja+++kqpbfbo0QMA8PjxY5nL2apRDRo0kDsMihCiH2bPno0mTZoo1WORmJgIR0dHAEVDHYtXfSOEqKagoAC9evVCYGCgzOVUbpboI11PR2BlZQUfHx8A+vs7pHFgkZOTg9DQUIwaNQrffPMN4uPjAQAHDhzgqrJoYu7cuQCA9evXS5WtXblyJQBgypQpEkFAeHg4AgIC0KdPH6nnjBw5Eo6Ojnjw4AFu3bolsSw3Nxd//vkngKJZvQkh+s3S0hI8Hg/W1tZ4/fq1wh+F3Nxcbqikvn6hE1JRyJtFm/0Mlgws2Jm3CanIiv9O6IK1tXXlDiyuXLkCHx8ffP/999i8eTNOnz7NJVMvXrwYVatWxZEjRzRqYEhICBYtWoTnz5+jZ8+eCA8PR1RUFKZNm4YtW7agS5cumD59usRztm/fjoiICBw6dEiqZ8LBwQH79++HmZkZevfujYMHD+L9+/e4efMmvv76a8TGxmL8+PEYOHCgRu0mhFQc1tbWGDp0KGJjY5Va39TUVC+/0AmpKMRisczAovhy6rEg+kZRUR9tsLe353KG9fV3SO3AIioqCl27dkVCQgKaNm2KAQMGwMTEhFt+9OhRfPfdd+jbty8ePnyoUSNnzJiB06dPIzs7G+3atUOjRo3w77//Ys2aNThx4oRUCck+ffrAyckJrVu3Rp06daS21759ezx+/BgdO3bExIkT4efnh2+++QYmJiY4ceJEuU2kRQjRDRsbGxQWFiIxMVHuOsWTTAUCAeVYEKKBwsJChZVkZOVYUPI2qeh0HVisX78e1apVA1BUMp2de02fqJ28vXjxYtja2uLmzZvcBHjHjh3jllerVg1bt25FYWEhli5din379mnU0M6dO6Nz585KrRsSEgKhUKhwnZo1a2Lnzp0atYkQoh/Yam/yAouSQ6T0tQuakIpC3lAoNoCnHguij3QdWBSfxoDH48mtqlaRqd1jcenSJaxevbrUWbVHjx6Ne/fuqbsbQgjRmJOTE6pVqyYzsFi2bBmGDx8uUYKaAgtCNCMvsGApG1jcvn1bLyvjEMOk68CiJF0ni+uC2j0W8fHx3GRyiri5ueHTp0/q7oYQQjTWsGFDbNq0Ca9evZJadvnyZWzfvl1ikk19HdtKSEWhamAhK3k7NjYWixYtQlpaGubMmaOzthKirLIOLPSR2j0Wtra2ePfuXanrPX/+nOaDIISUKYZhpLqQXV1dZfZYmJiYwN3dXeLHgnIsCNFMacnbpc1j8ejRI/Tr1w89evSgawhSYVBgUTq1A4vmzZtj2rRpyM7OlruOSCTCrFmz0LJlS3V3QwghKsvLy4OpqanEY05OTti0aRNiYmK4xzIzM2X+SNBQKEI0Iy95W1652ZLJ2/fu3cMvv/yC4cOH676xhCgpKysLlpaW5d2MCk3toVC//PILQkJC4OPjgx9++AFBQUEQi8UIDw/H8+fPcffuXWzfvh2fP3/Gpk2btNlmQghRKDc3VyqwcHFxQUFBAa5duwaxWIxjx46hV69ecHJykno+DYUiRDOa5Fjk5ubi8uXLWLJkic7bSYgqPnz4IJGPR6SpHVi0bNkSq1evxqRJk/D7779zj/ft25f7P4/Hw7p169C4cWPNWkkIISrIy8uTqK4BFPVCXLlyBfv27QOfz0dERAQSExNlBhbUY0GIZjQJLM6ePQsejwcvLy9uWUFBgVRpeULKSm5uLhYuXIjHjx9j9erV5d2cCk2jCfLGjx+Pq1evokuXLjA3NwfDMGAYBubm5ujatStu3LiB0aNHa6uthBCiFFk9FkBRmemoqCiEh4cjPT1dYWBBORaEqK+0crMllxdP3s7MzETXrl25dc3MzCjQJ+UqLi4OEREROHz4MDeBHZFN4/C/RYsWOHnyJMRiMZcY6eTkpHBiHEII0SVZPRZA0QWKk5MTPn78iOzsbDx+/BhVq1aVWo+GQhGimdImyFOUY5GVlQVnZ2duGduDSGPbSXnJycmBj4+PxETQRDat9Svy+Xy4uLhoa3OEEKI2eT0WAPDnn38CALp06YLdu3fj9OnTUuvQUChCNFNaVShFQ6Gys7MliiqYmZkhJydHd40lpBS5ubkyb1YRaWp3K/Tr1w937tyRu/zw4cOoXr06fHx8qNuIEFKmZFWFKiklJQVBQUHw8PCQWkaBBSGa0STHomRJT/o8kvKWk5NDgYWS1A4sDhw4gFatWkkkbhfXsmVL7Ny5E7Nnz5Yo70gIIbqmzN0lkUgER0dHmcsox4IQzZQWWCiaxyIrKwvm5ubcMuqxIOUtNzcXZmZmZb5fY2NjFBQUlPl+NaFRIoRYLMbs2bPRvn17qdm1XV1dERISQhWhCCFlTpkeC3Nzc7llAynHghDNUI8FqWji4+Pxzz//qPXc8uqx0MffIo0Ci5MnT8LX1xeXL19Gw4YN1T5hhBCiDWKxGO3bt8fs2bPh6empcF1ra2u5gYW6FzILFy6UmOSLkMpK1eRtPp8vkbxdMrCgHguiqbCwMPTv31+t55ZXj4U+BtUaBRZBQUF4+PAhBg0ahMTERHTv3h3jx4+nIQSEkHKRnp4Od3d3XLp0CQMHDlS4bmmBRVRUFP777z+V9n/58mWkp6er9BxCDJG2k7f17eKKVDzR0dGoXr263OVisRhHjx5FZmam1LLy6rHQx2G5GteEtbS0xK5duxAaGgorKyts2LABTZo0QWRkpDbaRwghSktJSYG9vb1S61pZWcnNsTAzM8ONGzcwdepUMAyj9P4zMzORmpqq9PqEGCplcixUGQpFPRZEU2/fvoWPj4/c5Z8/f8a3336L8PBwqWXl1WNR6YZCFTdgwACEh4cjKCgIjx8/RlBQELZu3aqtzRNCSKlUCSxK67HIz89Hw4YNVSo+kZmZibS0NKXXJ8RQKZNjIS95Ozs7W+IijnosiLqys7O5/6empir8fRCJRLC0tJTZ61xe5WYr3VCoknx9fXHz5k1MnjwZ2dnZGDlyJH788Udt7oIQQuRSJbDo3bu3wlLYxsbGCAoKwh9//IFHjx4ptc2MjAzqsSAEmiVvMwwjsUwfL65IxTB06FAuUCjtfZSWlgZPT0+ZgUVOTk655VhUqqFQ+/fvx99//42UlBTuMWNjYyxfvhxnzpyBs7Mzbt++rXEjCSFEGaoEFh07doS1tbXCdfr164dGjRph8+bNEo9nZWVh5syZUutTjwUhRZRJ3ubxeNzfxZO3S6Jys0RdQqGQ+04uLbAQiUTw8PCASCSSWlZePRaVaihU69atceTIEezcuROJiYlSyzt16oQnT56gU6dOKo1RJoQQdaWmpsLOzk5r27OwsEDXrl257vQ+ffqgW7du6NWrF9asWSO1PuVYEFKktORtABKBRfEei5Kox4KoKzU1lQssTE1NFd79F4lEUj0WoaGhuHv3brn2WOjbe99Y3SdeuXKl1HVcXFxw9uxZvH//Xt3dEEKI0lJSUuDn56fVbZqbm3N3S3NycnDy5EkAwDfffCOxnlgshlgsph4LQlD6UKiSFAUW1GNB1JWamgqRSMTNbZSfny93XXYoVPEei+vXr4PP51OOhQq0mmMhS2ZmJnbu3Knr3RBCiEpDoZTFVqQpmVDK4/EkemOzsrLg7u5OPRaEQLuBhT5eXJGKge2xUOa3QVaPxcuXL5GYmEg5FirQeWCRkZGB+fPn63o3hJBKLjo6GocPHy51YjxVGRsbo7CwEB8/fpTYto2NjcQPUGZmJjw8PPDixQu8e/dOq20gRN+UlmNREvVYEG1jGIbrsVBmmCwbWBTvsfjw4QMSExMpx0IFSg+FunLlCo4cOYJhw4ahYcOGGDZsmFLPK17qixBCdEUkEqF3795yS8hqKjY2Fh4eHtzfDg4OSEpKgo2NDYCiwCIgIAB+fn4YOXIkzp49q5N2EKIPVO2xUJS8TT0WRB0ZGRmwsLCASCSS2WORlZWF8PBwtGzZEoB0VaiEhATUqFEDiYmJYBiGciyUpHRg0atXL6SmpuL+/fu4efOmSsObiidoEUKILuj6jlLJHgtHR0ckJydzM7lmZmbC0dERU6ZMwbVr13TWDkL0gTLJ28WxPRYlq0UB1GNB1JOamgpvb2+5Q6EuXLiAX375BZGRkeDxeBCJRHB1dUVWVhYA4MGDB+jUqRPu3LkDKysryrFQktKBxaRJk7B3716MGjWKe+yPP/6Ara2twuelpqZi0qRJ6reQEEKUoOvAIjY2Fs2bN+f+dnBwQHJyMvd3ZmYmLC0tdbZ/fXDjxg3UrVtXq5W5iH4qORdFadjAIicnB+bm5hLL9PHiipQ/NrAQiUR4//49qlSpIrH84sWLqFGjBiIiIhAQEMAFHykpKbhz5w7Cw8PRrl07XLt2DcbGxuU2FCozM7PM96sJpQOLmTNnStVt79evH1xcXBQ+LyEhARMnTlSvdYQQoqTc3FyYmprqbPuyeiw+fPjA/Z2RkcEFFubm5sjKyoKFhYXO2lPR7N27F8uXL8fEiRMxaNCg8m4OKWeKyszLWsYGFrI+N9RjQdSRmpqKqlWrIi0tDa9evcL69euxfft2AMDr168RExODTp064ePHjwgICOCC2rFjx+Knn35CjRo1MHbsWAiFQkRFRVGPhZLUTt6+fPmyUmOZHRwccPnyZXV3QwgxACkpKTLnfdCmvLw8nQ+FKn7Hq1u3bggNDeUueFJSUrjvRFdXV3z+/FlnbalIGIZBUlISduzYgfnz53OJj/LGy5PKrWQ1NZaRkRHEYrHMwEIfL65I+UtNTYWfnx/+++8/MAwjcc1669Yt9O/fH1WqVMGnT58knte3b180btwYL1++hK2tLQ4fPoyzZ8/CxMSkrF8CBAIBjh07ho4dO6Jbt256kbesdmAREhICY+PSOzwKCwupQgohldy9e/dw4sQJne5D10OhSgYuVlZW+O677zB//nw8ffoUiYmJcHJyAlA0h09FDCxyc3Nx+PBhHDhwQObssuqYPXs2Ro8ejSFDhsDJyYnb7oABA7Bo0SKt7IMYDnmBBZ/Ppx4LolUpKSnw9vbGvXv3sHfvXollHz58gJeXF9zd3REXFweGYSTel56ensjNzQWPx0OVKlVQrVq1Mm59EVNTUzx58gTTp0/HiRMnpIYJVkQ6LzeblpaGoUOH6no3hJAKLDw8XGLYkC6URznAQYMGoV69epgxY4ZUYJGQkFCmbVHGrFmz8ObNG9y8eRPHjx/XyjYfPXqEAwcOYMCAAbC1teUmCLS3t8fixYtx7949reyHGAZFPRaFhYXIzs6mHguiFYpKzMbGxsLLywtVqlRBXFwc0tPTuQp/AODl5aX10uXqEAgEEtUH9YFSORZ///232jvQ1iy0Z8+excqVK/HgwQPk5ubC398fw4YNw5gxY1RKEANKr1I1YcIE/PHHHxq0lhBSXHh4ODw8PCAWi1X+vCorLy9PZ3dzxGKxzB5ac3Nz9O/fH/v27UNiYiKcnZ0BANbW1sjIyNBJWzQRGRmJ5cuX4/r167h165ZSzyksLMSHDx9gamoqlfwIQOJ82tjYcD0WhYWFWLt2La5fv47g4GDtvACiN+T9zioKLJKSkpCQkCD1OWaHSRGiCnmBBcMwiIuLg7u7O/Lz8/HmzRs8ePAA7u7u3DpeXl7w8vIqw9bKJhAIkJ+fD2tr6/JuitKUCiy+//57tUvGMgyjcbnZpUuXYtq0aejatSvOnz8Pa2trbNu2DePGjcO5c+dw5MgRpYZlFefj4yN3vJyrq6tG7SXEEIWHh6Nhw4YqBwZisRgZGRmoUaMG4uPjZV6cakNubq7OqhGZmJgo/F5gGAZCoZDrsTA3N0dKSopO2qINbPe/Mnbs2IF//vkH7969w9mzZxUeh+KBRVpaGmrVqoUzZ85opc1Ev8hL3pYXWHh7e6OwsBD9+/enSXWJVsgKLIyNjREaGoqkpCQYGxvD2NgYwcHBOHr0KPr378+t16hRI5XKJesK2wtvcD0WANCnTx+17gZmZWXh0KFDKj+Pdf36dUybNg0BAQE4cuQIFwwsXboUKSkp2LJlC5YuXSpVsao0Fy9eLLcxc4Too1GjRmHw4MEYO3ZsqesuWLAA48aNw9OnT7Fy5Uo0btwYJiYmePfunU4DC10NhTIzM1PYLe7o6IioqChYWVkBKAosSiYEViTu7u5Kty86Ohrz58/H8ePH8e7dO4WBhZWVFTe5VFZWFqpUqYLU1FRtNNlghIaGlnnVrDt37iA9PR0dOnQo0/3KIi+wcHZ2xpo1a3Do0KFKVU2N6I6swOL169fYv38/Vq1axT02d+5cqefa2tqiVatWum5iqdhKhwbXYwEAa9euLbW0rCzx8fE4ePCgys9jzZs3DwAwbtw4qR6GyZMnY8uWLVi2bBkmTZqkF0kthOgrsViMx48fK7Xupk2b8O+//yItLQ0XL16Es7Mz9uzZg3fv3qFZs2Y6aV9eXp7Oys2amZlJzLpdkpeXF65evcr1zpqbm1fo6h2WlpbcJFClYZMcvby8EBsbi8aNG3PLCgoKJO7q8fl8iYtGtiY8KVJQUIApU6aUeWCxYsUK8Pl8zJw5E8ePH4etrW25/V7y+Xykp6fLTcb29PSkwIJohazA4unTp5g6dSq++OKL8mmUigQCAXg8nl7NkaTUmIa5c+dyd+JUZW1tLTMaVIZQKMSVK1cAAO3bt5da7u/vD09PT4hEIupuJ0SH8vLy4OrqqvRF4hdffIFLly5h0aJFcHV1BZ/Ph7e3t04rxOmyx8Lc3Fxhj0Xfvn0xbdo07m8LCwt8/vxZ6UCsPCiaZ6C45ORk2Nvbw8vLSyoBX1aibfHtWltbcz0YBIiLi0NCQgISExPLdL9ZWVnYv38/hg4dirt376JLly5luv/ieDweduzYgYYNG8pc7uXlRYEF0YrCwkKpYfInT55E9+7dy6lFqhMIBLC2ttY4paAsKR1YqPtBNzU1Rdu2bdV67v379yEWi2FiYgJfX1+Z69SqVQsAVK48cvz4cXz55ZeoVq0anJyc0KBBA0yaNIlK4xIiw6dPn+Dj46NSZRaBQCDxBa7PgYWLiwuqV68ud3ndunUxcuRI7m9zc3OcOXNG7sVTeSgZSJiamirVq8Lj8cDj8eDl5YXt27fj9evX3LLSJgEs2YNR2X348AF2dnZ4+fJlme0zMzOTG0YRGBiIBw8ecL+t5YHH4yEzMxPffPONzOUUWBBtyMvLkzljddeuXfVqWJGpqaletRdQYSiUupKTk9G2bVsUFhaq/Nw3b94AKBp7KS9hlM3iZ9dV1rJlyzBz5ky0aNEChYWF+Pfff7Fo0SJs2bIFBw4cQOfOnRU+Pzc3V+Iiq/ikUOXxhS0Wi8EwDFXOMBAV7Xy+e/cOHh4eiImJUbpNJddzc3PDx48fdfaacnJyYGJiopPtz5kzB4Dyk74JBAJkZWXB19cX3bt3R2ZmJs6dO6f1dilj4sSJeP36NUQiEdzd3bnXUK9ePTx+/FhiaFNcXBzmz5+PP//8EwC42u5isRienp7w8/PDkSNH8MsvvwAomm3c3Nxc4rgYGRlBJBJx34XKfifm5+fj6dOnCAwM1ObLR05ODvLy8rSW/KjJZ/Pdu3fo0qULbt26hebNm2ulPaWJi4uDi4sLxGIx6tSpg5kzZyIjIwMJCQk6LVSi6BhlZmZCIBDIXN62bVt4e3tLLdPVb2tF+64l6ktOToadnR0YhkFYWBj69u2r9+fVxMQENjY25f46VNm/xoFFfHw8zp8/j48fPyIvL09quSYlF9mLdUVjQdk7G6qUtZ04cSImT54sMWY6MDAQ/v7+6NWrF/73v//h5cuXCsdUL168WGblCqFQWC4T+YjFYqSlpYFhGJ2V8yRlp6Kdz6ioKFhYWCAvL0+pid/krZeTk6OzieNSU1ORnp5eISamy8zMREJCAlasWIFu3bph4MCB+Pz5M+7du4f//vsPrq6uGDBgQJm05cWLFwgNDUWfPn1gbGzMHR9fX19cvXqVK2KRlpaGSZMm4f3799w6iYmJsLKy4v5euXIlhg8fjkGDBoHH4yE2NhYAJI55+/btMXToUDAMg8+fPyv9njl16hR++OEHxMbGaq0ay6tXrzBr1iw0bdoUEydO1Mo2NflsRkZGonv37tiwYUOZ5VlERkZyQ/MA4P379wCAx48f67RHTd55z8vLQ3JyMrKysmQuZwPdksuUfR+pqqJ91xLlsUMz2bKwTZs2xblz51BYWIi3b9+iWbNmFeL3QBMMw8Dc3LzcX4cqQ1o1CiyWL1+OOXPmSAQUbLd3RR4PVrwaQHHffvst6tWrh6dPn2Ljxo0KZ42dPn06Jk2axP0tEong5eUFZ2fncikLJhaLwePxFPbuEP1R0c5nYWEhvL29YWJiwhVxkFdKWiwWQyAQyCz2YGpqqlYRCGUYGRmhSpUqOtu+KkxMTJCZmQkPDw+4uLjA2NgYLi4uCAsLw88//4y5c+dq7UJXEYZhuGNevXp12Nvbc8enbt26ePXqFff37t270b17dxw/fpx77OPHj/Dz85M4pp06dcLgwYPRt29f1KtXD87OzhLLR48ejWbNmsHNzQ0uLi5wdnbGjz/+CKBoSNmWLVtktjUnJwd2dnawsrLSWtf/pk2bMHjwYNy4cUNr7wtNPptZWVmoU6cObGxsyux9mpeXBx8fH25/NjY2qFatGrKysnTaBnmfdTMzMzAMw302NN2epirady1R3rFjx5CYmIgZM2YgLy8PCQkJuHnzJr788kvk5+ejevXqFeL3QFONGzcu99dhZmam9LpqBxYnT57Er7/+ig4dOqBp06ZYunQpRo0aBQcHBwBFP0inT59GcnIyJk+erNY+2At0ReOA2comtra2au2jpMDAQDx9+hT//fefwvUEAoHM8dx8Pr/cvpx4PF657p9oV0U6nyKRCHXr1uXacu7cOVy/fl1m8J2ZmQkrKyuZ7WZfky6wE+RVhOPFFruws7MDn8/nXndOTg5atGgBCwsLrbdz586dcHJyQteuXbnH4uPj4e7uDj6fj6pVqwL4vwnt7OzskJ6ezv195coVHD16FBcvXkR2djYsLS3x8eNHVK1aVaKtv/76KyZPnoxevXqhRo0asLS0lFjO5/MlKq7s3r2b+3/v3r2Rl5cn80dKKBTCx8cHWVlZWvs+j42NxZgxY3D06FGtHm91P5spKSlwcnKCqakpCgoKdFbFrLjExES4ublxbfX09IS3tzfev3+v08+KvM86n8/n3l+q7F+X3x0V6btWlz59+gRnZ2e5c3jpm9TUVDx8+BB8Ph9CoRBNmzbF06dP8dVXXyE1NRWOjo4GcU43bdpU3k1Q6TiqfcTXrVuHIUOG4Ny5c1iwYAFMTU0xYcIEzJ07F3PnzsXmzZsRGRmJ4OBgte/gswnbQqFQ7vgudpInecndqnJzcwNQNFaPkMrs9OnT3P9TUlJgZ2cHW1tbiEQinD59Gv/884/M3KmMjIxySTbTZblZVZmamoLH40kdB10mMguFQqlcs4iICNSuXRtA0XCB4u2xtbWVGkJqbGwMT09PbogTW2q2JGNjYxQUFCAzM1OlRNsaNWrg1atXMpd9/vwZPj4+pQ6fffTokdKT+wmFQm429IqArbBlaWkpM7FUFxISEiTudnp5eaFly5ZlmkBeHJ/PR1ZWlsrlbvl8frmPM9d3q1atwqNHj8q7GVqTlJSEiIgIAEXXgi1btuSKS6SmpsLe3r48m1dpqR1YhIeHY9SoUQrXsbS0xG+//SZxx0oVQUFB4PP53JTrsrBfjsHBwUpt89atW4iMjJS7PD4+HgB0NoMvIfogLy8PAwYM4C6EU1JSYG9vj9q1a+O7777Dq1ev8MUXX8gsm5menq52eWpN6LIqlKp4PB7Mzc0lbqoUr6luZGSEgoICre4zIyNDqhzsy5cvucp5devWhY+PD7fM2tqay2MrLjg4GGPGjMFXX32F6OhomYEFUFTl6/nz5yoFFrVq1ZK4sImJicGOHTsAFAUW1atXLzWw2Lp1K27evKnU/thx876+vmjfvr3U8Slr+fn5MDU1LdPA4v3791xvFVA0rKJt27Zc8FhYWIikpCQkJSUhOTkZDMNg9OjR2Lp1q07aw+PxkJWVpdLQCqBolEB55C8aktTUVJXyUSu65ORkuLi4ICMjA3FxcahatSr3vZqTk6Pye4xoh9qBRWZmpsQMusbGxjLfsB4eHnLvUJXGxcUFISEhAIpmyi4pMjISsbGxsLa2xldffaXUNqdPn47FixfLXf7w4UMA0NkkXoTog61bt0r8CLGBxYwZM3DmzBmcOXMGrq6uEgllDMPgzZs3pfZY6OqufUUKLICiohPscTA1NcW1a9fQoEEDAND4wpJhGImyr0BRQKcosGjRogX69OnDLTM1NUV+fj6Aoh9h9tj169cPFy9ehI+PD+7evSt3/o42bdrg1KlTKgUW7dq1w2+//cYNb33//j0XJOTm5sLJyanUwOLBgwdKJTIWf5+tWbMG3377LZ4/f650W3WpLAOLuLg4riceAAYOHIgGDRqgoKAABw4cQL9+/TBx4kT88ssv6NixI8LDw3H16lW8ePFCJ+3h8XjIzs5W+aLP2tpao2IwpOh7PDU1tbybAQBqXxcWl5ycjGbNmiEqKgpxcXFwd3eHhYVFmX22iGxqBxYeHh4S3dHOzs4y7yJdvXpV3V0A+L+p1tevXy91h2/lypUAgClTpkj8uIWHhyMgIAB9+vSReVfw1KlTMu+0Hj9+HE+ePIFAICi1N4YQQ8UwDHbu3IkhQ4YgISEBAGQOXXB1deWWA0V3zP38/JCWlia3x0IgEMisHqcNJWeBLm/FeyzMzMywdetWrhKUpheWcXFx6NChg8TQkIyMDHz69ElivZiYGK7qkyJCoVAqOdDLywuRkZFy8x3atWuHO3fuqNQ7xQ7DYV+7SCTChw8fMGnSJO59o+i4FBQUIDY2VuJ9J09WVpbEbLWenp7l0mMhFovx119/STxWloGFvGpHv/32G/Ly8jB+/Hj8/fff2LFjBwYNGoS0tDSdzhzP4/G4hGlV0GSLmqsogQXDMOjQoYPU95WqCgsLUa9ePbx8+RJXrlzBF198gQYNGugsKCbKUTuwqFOnDlavXs393bRpU8ydOxcHDx5EamoqUlNTsWfPHkydOhV16tRRu4EhISFYtGgRnj9/jp49eyI8PBxRUVGYNm0atmzZgi5dumD69OkSz9m+fTsiIiJw6NAhqZlvjY2NkZiYiJCQEBw4cABRUVGIiorCmjVrMGjQIJiZmSE0NFThZFiEGLLMzEz4+fkhICBA4s5wyQsBFxcXieXshcj8+fNRo0YNmdvW9d2kilSNzs7OjusFMDc3R3x8PNfLW9oFdGmio6NhbW2N//3vf9xj6enpUrPMMgyjVLAla04DLy8vODo6yj2mTk5O+PjxIzp16qRS2y0sLLiiG2lpabh16xays7Pxzz//wNLSkptjQVbw8PLlS7Rs2VJhjwXbC5OYmCiRXyFr5vDS/PrrryqtL8uhQ4cwffp0iYuosgosCgoKpN4TrODgYAwcOBCtWrXiHrOysuLmJtFlYKEOGxsbmUP3yP9ZsGCBRPCVlZWFNm3aoFu3bmAYBikpKRIjS3R1k4f14cMHrgrn8+fP0aJFCwwaNAg3btxAfn4+vvrqK1y7dk3t7TMMgyZNmmDLli1wd3eHm5sbGjVqhOvXr1M+TjlSO7D49ttvsX//fm5W7QkTJiAtLQ39+vWDo6MjHB0dMWjQIKSkpODnn3/WqJEzZszA6dOnkZ2djXbt2qFRo0b4999/sWbNGpw4cULqi7NPnz5wcnJC69atpYKaY8eOYfv27fD398fUqVNRr149NGjQABs2bMCAAQPw6NEjieEChFQ2SUlJcHBwkAocSio5FCorKwvjxo3DlStXJGbcLq74RaW2VbQZnotfqJuZmUn8iGt6Yfn27VvMmjVLYpuZmZmwtLRU6TiIxWKEhYVhz549Uj0Wnp6ecvMrWA4ODipXXSn+HhCJRBCJRAgMDISNjQ2srKyQmpqK9u3bo0uXLlLPDQ8Px1dffSX3fZmbm8tdKCcmJsLJyYlb5uXlxeUVKGvnzp0Sd3ivXr2q8nCq2NhY9OzZE7/99hs3/KesAgtVk9fZwM7CwkKngYU6n1XqsSjd/fv3kZCQgKSkJHz8+BH//fcfvvnmG3h5eeHNmzcQiUTc+/ndu3do3bq1Tttz9uxZnD9/HkDRzZAhQ4bgu+++w8GDB7F3715MmzYNCxYskPt+iImJKXX4m6+vLy5fvszd6G7RogXS0tLQs2dP7b4YojS1y8326tULZmZmXFdzUFAQwsLCMGbMGKSkpAAo+gGZO3cu+vfvr3FDO3fuXOps2KyQkBAIhUKZy6ysrDB06FAMHTpU4zYRYoiSk5Ph6OgIV1dXREdHQyQSyRwPLavHorTx9paWljoJLPLz8+XemS0vmzdv5v5vbm4uMaSIvYBTV3R0tNT3IcMwsLOzg0gkgq2tLbKzs0vNOcnOzsaFCxfw7bffcvlsLB8fH66ilDYVfw+kpaXB3t6eywOxsrLCnTt3EBISIrN34dKlS5g1axYOHTokc9u3b9/GgwcPkJ+fLxVYODk54d69e3j+/LlSvegZGRn4/PkzoqOj0ahRIwDAvHnz4OnpieXLlyv9ekUiEYYPH46kpCT4+flxr1OVwKKwsBCjR4+Gg4MDlixZovTzcnJyVKq+ZGVlhbi4OJiZmel8KJSq5BUbIP8nLS0NycnJuH37Ni5cuAALCwuMHDkSb968waVLl2Bubs71WFy4cAFCoRBPnz5FvXr1dNKeK1eucO9z9vPYpUsXiZsGL1++RM+ePTFo0CD06tVL4vkrVqxA586d8fXXX0ttOycnR2YVQBsbG8yfP7/c532ozNT+JbayskLfvn0lHuvbty++/fZbPH36FGKxGHXq1FG5pBwhRL7IyEjk5eWhevXqGlVeYu9uy8L2WPj5+WHHjh3g8/lSF51AUV5VyR6L0j7vuuqx+PDhg0Tlm4qgeAUmMzMzbo4fQLM71n379oVIJMKECRMkHufxeHBxcUFERASsra1hbm4Od3d3hduysbHB8OHDJYbDsKpWrSox3FVbSvZYDBgwAHXr1gVQ9Lvy8uVLNGvWDJ8+fZIYyhMZGQmGYeDn5wc3Nzd069YNQFHAsH37dgDA9evXERwcjNevX0MoFEoEFjweD0uWLMHly5eVCixiYmK44JoNLKysrLhZo+UJCwuDv78/V6lQJBLBxcUFzZs359YpHliePn0ab968wbhx4+RuMzIyEubm5nj27JnUssTERKxYsUJmwJGbm6tSkjTbY8SWE9YFPp+vVo+FjY0N9ViUIjU1FcnJyUhISMDr16/Rrl07NGjQAM7Ozpg1axYcHR25Hotz585h8eLFOHPmjM4CC7YSnlgsRmJiosR3ImvevHnIzMzEL7/8gqtXr+KLL77Arl27kJ2djbi4OO67ASiaE8fDwwNt2rRBVFQUatasqZN2E81ofeYQExMTBAYG4osvvqCgghAtysrKQq9evbBkyRLs3LlT7e3ExcWhTZs2cpcnJyfDwcEBNWrUQN++ffHx40eJsfwsdk6L4u0rrcdCV4HF27dvK3RelLm5uURgoUmORXZ2Ns6cOQNbW1upu78uLi7o2bMnZsyYga1bt5YaWEycOBFNmzaVu1wXOSslA4spU6Zw9ebZwMLLy0tqTP379+8RFBQEANiyZQtOnDiBEydOSPROv379Gt26dcOLFy+keiwAoFq1avjw4QMuXLiAP/74Q+4d8GfPnmHdunVo166dRPUtHo+HzMxMmZ8H1vPnzyVK6qalpUnN5cQGllFRUViyZAkOHz6s8C5+eHg4mjRpIvOi/NKlS3KLpBSv9qUMKysrJCQkyL3poAp5wYMmQ6Gox0Ixtsfi8+fP2LJlCxYsWAAAcHd3x4sXL+Dl5QWRSIRPnz6BYRh069YNR48e5Uo+a1NqaipsbW3h4eGBRYsW4dmzZ1KfR6Ao0LS2tsZff/2F2NhYbN68GadPn8ayZcuQlZUl0XN5/vx5XL58GUBRT4cuelSJ5nQ+JWFCQkKFqtRCiL7KyMhAkyZNMGbMGI2G0bx58wYxMTHo3Lkzbt26JbWcDSyAoiGPv/32m8xuZTMzM4m68tnZ2eXWY5GcnFyhJkIrydzcHI6OjtzflpaWiI+Px759+zTebvEhK66urvD29sbixYvx999/l9qL07p16zKfhbdk8nbxi257e3u8ffsWXl5eUoHr58+fpRLMAcngJzExEd999x1OnjwpM7Dw8vLCpUuXsGHDBrx7907ufBh//vkn2rdvj7Vr13IX7YWFheDz+XBwcEBERATy8/OxfPlydO/eHTExMRJtePv2Lfc3OzStODawWLFiBRYuXIgOHTpwF0yyPHz4EI0aNZL6/Lx//x6LFi3iEtZLUrWWv7YCC4Zh5Aal6gYW1GNRurS0NCQlJeHz588S39k8Hg9+fn748ccf8fr1a/Ts2RNz5syBmZkZ/vrrL+zbt0/r81s8efIEDRo0wPz582FjY4PQ0FCZgUVxGzduxLZt2yAQCNCiRQtcvXpVIrD49OkTnj59CqBo8k92CCWpWDQOLAoKCvDixQv8999/uHbtmtQ/ZScyIsSQbd++HQ0bNtRoG+zwJU0TP6Ojo7FhwwbMmTNH6mImNjYWjx49krgIVlZ59lgos+/yVLLHwtLSEi9evMDevXs12m7J94KLiwsCAwNRu3ZtDBw4UOGd9fJS/D2Qnp4uMedJ1apVsXTpUgQEBEj1WJScQZpVcrJBb29vuLm54dGjR1KBlY2NDaKiojBq1Cg0b95cbhJ4XFwcevToAScnJ1SpUgUxMTHcTL69evVC165dERYWhv/++w8jR47E8ePHuecmJSUhOjqa+1tWr4GlpSVevnyJ6OhotG7dGsOHD8fatWsRHByM06dPg2EY3L17l5sY9u3bt/D19YW9vT2Xw8g+PnjwYHh5eaGgoADv37/HvHnzuOWqDoWytLREQkKCxhNcKsrtoORt7Rk7diw3tEksFsPCwgLJyclISkqSmnU6LCwMISEhePbsGe7cucMNMapfvz6Cg4Ml3rPaEBcXB09PT7i4uGDgwIFgGEbiO1AWNzc3+Pv7Ayh6n/j7+3Pv9+zsbFhbWyMnJwcMw+DJkycSw6RIxaF2jkVBQQFX8pUmrSFEsbt378LKykrqQkoVbGChaanSt2/fokuXLnBzc5NKkB01ahRat26NgIAAlberTI6FpaUlwsLC4OzsrNVJKLOysiQmAatoLCwsJBIN7ezs8OrVK7lFJuQpeUHGBhZ5eXkwMTFBixYt4OPjw+UTVEQWFhaIj4/H+/fvERMTI9WjPXnyZABFQUDxu6gl78KynJyckJiYCAsLC+4CXtFrr1mzJlq2bIkHDx7gzp07MtfJy8vjzlenTp1w8eJFtGzZEk5OTvjuu+/g4+ODq1evYsGCBfDx8cH27du5nJeCgoJSy3jWrFkT/v7+XODn7u6O48eP4+DBg0hMTERSUhLGjh0Lc3NzXL16lZuxmw0s2EkL2e8Td3d3xMXFQSgUSgzdKq8eC0XfBcnJyVJDw5RBQ6GkPXz4EFeuXEGPHj2QkZEBb29vbvZ0Vaq1+fj44O3btxrf/CpOKBRyZccdHR0RFBSkcoGN4kEo2wMiEonw/PlzpYqFkPKhdmAxc+ZMrFq1CgKBAPXr1+fG+5aUl5eH27dva9RIQvRdbGws2rVrh6ioKG6cuKqK91ioG8yPHj0ad+/exfjx42FtbS0xySVQdOE6depUtbadnZ1dald39+7dYWFhgYMHD2o9sKjIPzIdOnSQODbu7u54+vSpygmyJX9Mi8/74OrqCjs7O9jZ2Wmr2TrB9licOHECEydOlLuera0tZs+eja5du+KXX36ROxTK1dUVgwYNQnZ2Nn7//fdS93/p0iVYWlqWWk6Z1bZtWwwZMgS+vr7cOaxevTqX8wAUfTaLD//h8XgoLCyUOwzY2tpa5ufM3NwcycnJSE1NRYsWLfD27VsUFhZyy+3t7SXK36anp8PGxgaenp6IjY1Fbm6uxOSv6uRYfP78WSKwWLlyJRfsKUvRRd/Dhw/RtWtXlbYHFF2cXrhwAVOnTsWyZctUfr4hKigowO+//46rV69i4sSJqFGjBi5duiR3HiF5fHx8cPfuXWzbtg1Hjx4FAPzxxx9cFTN1JCYmSnzHKxrqp4i5uTmysrIQHh7OlaX+8ccfFeaGkfKl9lCosLAwdO/eHZ8/f+ai5suXL0v9O3z4cIWrL09IWWMYBrVr18bhw4dx/vx5iYsFZWVmZsLKygqWlpYQiUS4cOGCShMcPXnyBKampnjw4AHs7e1hbGws0Y6UlBSNLkqVrQrVrFkzrY/nreiBhZmZmUT72DvM2dnZEnkqpSnZ48X2XsXFxZWaqF1RsIHFhw8f8MUXX8hdz8bGBu/evcP58+dx8+ZNREVFyRxK4eLigoCAANy4cUOpuvzs8Ss5czyrZEDg5OSE/v37Y926dXKDYU9PT24CPHYIR2RkZKltKYk9NmlpabCzs4OHhweOHj3K9dTY2dlJDIUSiUSwtraGg4MDUlJSkJGRIRVYqNJjYWpqipSUFC6wYBgGCxcuVDkAVvRd8OrVKwQGBqq0PaAoqHr69GmlnVU5PT0dycnJEo+5urri7t27EIlE2Lt3Lzw8PPD06VMcOXJEpW3Xr18f4eHheP36NU6ePIkNGzZg7NixmDt3rtq9RCVznNQdXufv74+oqChcu3YNjRs3RuvWrXHr1i2dVKwj2qF2j0VqairmzZtX6rAOa2trzJ07V93dEKL32PHGXbp0QVpaGv766y+Ym5ujZcuWAIAHDx7gwYMHGDFihMLtFO+xePjwIaZOnQo3Nze0b99eqTuKV65ckZp0rKCgAL/88gsAoHHjxionw/H5fO5CTNmLe13MoFvRA4uSzMzMYGdnh4CAAMTGxip9Z5C9kGSxQ6HS09P1LrCIjY1VOAGfjY0NAgMD4ebmhj///BMTJkyQObyjV69eas1hYmdnJ3H3nyVrFvIBAwZgwIABACCzelNwcDAmTZoELy8vGBkZITg4GDNmzICfn59KNxHYienYijqWlpaYPXs2Dh48CKDo4nrz5s3o2rUr+Hw+12Nha2uL1NRU8Hg8icAiNzdX5c+FiYkJ9x5je09iYmJUunutqMfi2bNn8PX1ValNxbFzbFTkqpOnT5+WOcGjJvbu3YuRI0dy3/XFJx6eN28e/vnnH7V6goCiiS6LF5Lw9vbGmTNnsHTpUqxfvx4zZsxQeZuyiieoo06dOpg3bx5MTExobgo9oXZgUb9+faW6WC0tLSmwIJVaUlISnJycYGtri1GjRsHa2lpiBuBDhw7hwIEDpQYWGRkZsLS0hJGRET5//owZM2agb9++mDRpksyLoZJiY2PRsWNHicfCwsKQlJSEY8eO4cSJE2jbtq1Kr83a2hoZGRnchGzKXMSYmZkhNzdXpf2URt8CC6Co16JWrVoSE6eVhr2QZLGBRVxcXIWbx0MeNrAQiUQKx9pXr14dXbp0Qf/+/SEQCOSOGffw8FCrHfKSiD9+/KjyNocNG8aVcHZ0dIS9vT0394UqvYDssA+2x6JatWpwdXXlklQ9PDxw6tQpJCQkwN3dnQs07ezsEBMTA2NjY6kei9ISZkt6+fIlnJ2dcezYMbx9+xbOzs54/Pgx9x6NiorCwIEDcfXqVbkX94o+j8rMIaJItWrV8O7duwpdEWjs2LG4d++eWkUw5CksLMSuXbvQtGlTXL9+HWFhYVwA6OXlhdGjR2ttX0DR52PSpEno2bMnNx+FMvLy8pCens7N4K6pvn37IigoCFWqVNF4W6RsqD0UauHChVizZk2p61G5WVLZCYVCiVKonp6eUiX0PD09Sx3WVHxSOyMjIzg7O6Nq1aro2rUr/vzzz1KHHH748IFL+mQ5OjqiZs2aqF27Nl6/fq3yD2HxBFtlhkLJ8/btW5WGdZWUlZWlldr7Zcnd3R1+fn4y75rLU3IolKWlJTfsVJ96LJ4+fVrqELCAgAAMHz4c5ubmKiWiaurjx48qX8QYGxujZs2aqFmzJhwdHcHn87m/VbnLygZdbI9FmzZtMGjQIG55s2bNsGDBAu77o2SPRXp6ukTVLVVzLICi7yeBQAALCwtERUVh2LBhmDdvHpfXdf/+fbx48ULh+1aT74LSsInGFRVbnWvfvn1qzTDOEgqFEkNGU1NTUaNGDdSsWRNdunTB+fPntRq4yGJqaooOHTqgefPm3FC/0vz888/44YcfcOrUKa3Mg8N+ljStVEbKjto9Fu3btwefz0fv3r3RtGlT+Pr6wsHBQeqNlJSUpHEjCdFnJbuEvby8cPjwYe7vlJQU1K1bF58+fUK1atVkbmPDhg04d+4cNzuvpaUlt80+ffpw+U6Kei0yMjLkDl10dHTEq1evVL67aW9vj19++QVVq1ZFamqq2neoVq9ejVGjRql9N1Mfeyz++usv3Lp1S6V8k5J3+QUCAbZt24bNmzejfv36umim1rm5uWHo0KHw9vYu76bIHFbz8eNHmTMElwV2KFRaWprc7wI2Ubtx48Zcj0VOTg7S0tJgYWGBatWqISkpCRYWFiqXmy3OysoKa9euxcKFC2FqaoqoqCgEBgYiOjoa9erVU1iZTpcVe4rns1REHz58QL169TBu3Di0adNGre+0o0ePYuPGjRg6dCj69+8P4P8mnAOKbko8ePBAqwUw5Jk4cSI36Z4yAffHjx9x5MiRSpsLQzQILMRiMU6dOoUzZ85wVQQIIUXy8/NhbGzMjXkuHlh4eHjg9evXEkmiVatWRWxsLKpVq4YjR45g06ZNCA0NBVCUQBkWFobbt29j2rRpACQDC0tLSzRp0kSp4VDyODg4SEyMp6zZs2cjOTkZd+7cwcKFC9VO/k5LS9O4x6Iij7mWxc/PDxEREVKVuRTJyMiQuHPXs2dP9OzZs0zv6GvKyMgI3333XXk3A8D/XaQXr6Lz8eNHtGrVqlzaww6FUjT0xMvLC+PGjUPt2rW5Hqy8vDykpaWhsLAQHh4eXA6Tqsnbxa1atQppaWlwc3ODUCjEy5cvERgYiLdv36Ju3boKAwtdBvpOTk4V9qI1JycHd+7cwaBBgzB69Gi8fPlSIrDIy8vDp0+fUKVKFYny0yVt2rQJr169khjWlpaWJjHR4rx589Q+t6piSzqXlJKSwpV5ZnOJxGIxjIyMUK9evTJpG6l41A4sfv/9d6xatQpmZmZo0KABbGxsqNwsIf/f9OnT8e2336J58+ZITEyUuHARCATw9vbGjh078MMPP4BhGHh5eeH9+/cAiqqmhIeHc1/UsbGxaNCgAd68ecMN9ykeWAAotXQmO2uwPGxAoWrXukAggLu7O3r06IEePXqo9NziUlNTVQosPn36BCMjIy6QUrVue0Vha2uLly9fKr1+dna2xDnSx9dckXh5eeHDhw/c5zMxMRE3btxQubyqtpRM3pbFy8sLsbGxOHXqFHJzcyEQCLhEdIZhUKVKFW4iOU0CCwsLCy44qFWrFncDMSEhAS1atCi1x0JXQ1ecnJxUnv9FG9LT07kk+v/97394/Pgx99nt2bMnHBwcMHfuXHz+/BnTp09HUlISLl26xD3/6dOnmDlzJiwsLFCvXj3MnDlT7r4sLCxw6NAhnDhxgnusZLBZPHlb15ycnHD//n00bNhQ4nenQ4cO6Ny5MxYuXIj9+/fj1atXZdYmUnGp/au0fft29OzZE0KhEOHh4VRulpBizp8/z93hkVUdY8aMGTh06BD69+8PW1tbtGjRAv/++y+AojtTtWrVQkxMDIYOHYrvv/8ezZo1Q61atdQOLBISEhROIMcGFiVna9UVtpoUKy0tTaWE7tOnT+P06dO6aFqZkleZSJ7s7Owyu0tZGdSoUQMrV67kfqNGjx6NX375ReWeO20RCASIjo7G2bNn5bahRo0aePDgAUJDQxETEwMejwcLCwtkZmYiIyMD7u7uXGDBBh6aqlOnDp48eYKCggKIxeJSJ+nUdY+FrLvnqho1ahQiIiKUXv/p06e4du0aHj9+jEuXLuG3336Ds7MzhEIhdu3aBQB4/fo1Nm3ahJo1a6JWrVp49uwZ9/wpU6Zg3rx5+OOPP0qd5bqwsBBubm4SrzMzM7Pchns6Ozvj999/x7Bhw6Qef/r0KQAgOjoaYWFh5dE8UsGo3WORkJCAuXPnlpowSeVmSWWTmpqKN2/ecGPnhUKhVGDh6emJ8PBwHD58GM2aNYOxsTE+f/4MsViM1NRU1KlTB2fPnoWfnx82btzI3clkk8C//PJLiTuarq6uePz4sdw2yUrcLs7Y2Bju7u5ldtFavJoUoPpQqKysLO7iSZ/Z2tqqlGOhyR1oIq1r1644ffo0YmJi4OHhgfz8fHTr1q3c2sPj8RAREYHly5fLDfLZZNa7d+9KPC87OxuZmZlo06YNl2itrfeLQCAAwzA4ePAggoODS52kU5flYFUNxmXJz8/H9u3b8cUXX8Df359LdlckIyMDwcHB8Pf3x7Nnz2BiYoJu3bqhffv26NOnD0aOHCmR02Jvb4/MzEzcv38fERERaNiwIQIDAyEWi+XeBCpeoENWz4w2kqHV4eTkhMzMTOTk5GDYsGFITEyEra0tzM3NkZeXh2fPnuHDhw9o1KiRWqWfiWFRu8eidu3aCscIsqjcLKlsIiIiEBQUxP34xcXFSfUW8Hg87Nq1Cy1btuS+iF1cXJCamoq0tDTUrVsX//77L5o0aQJLS0vweDyMGjWKS9ydPn26xI9MaT0WHz58UDhnAACVZ2vVhL29vcRkT6oOhcrOzpbITdDXXlF1eiz0LZekIuPxeGjcuDEePHiA58+fc2Vdy5O5uTmqV69e6noCgUCiN6J79+7o2LEjbG1ttTIUqqQpU6bg+fPnGDp0KFfmWB5d9ljw+XyNP+9J/6+9+w5vqvr/AP5OVxq6d0spXdgWUFaZIkOsQKuCgvAFxa8gggMRZQiIyhAQUEQUFwgyZCjLyUZQQGUVkdFhaaG0dNK92+T8/uCXfBuStmmbNGn6fj1Pn4fec8695+Yk5X5y1u3baN++PTIyMpCeno4RI0bUWUa53HdQUBAuXLig+lLEzs4OgwYN0rrr+zvvvIPvv/8eycnJWLBggVr9L126pPrsKxQKnDhxAp06dVL15FZflvvSpUs67RJvKO7u7ggODka7du3w77//4scff0R8fDw8PDwwZcoUvPXWW9ixYwfGjRvX4Hl+ZD4aHFq+8847WLlyJdatW1drvoyMDLRu3bpBOw0TNUexsbHo3bu36pvoiooKrcMRIiMj1X738vJCZmYmCgsLER4ejrffflvnHWq9vLyQnp6u+j0tLQ2ff/45Fi5cCIlEgps3b9a5atD27dt1upY+KAMh5QNUQ3os/vjjDwwfPhxCCJ2+cTRFDg4O9ep5YY+F/vXu3RtjxoyBVCrFokWLjF0dyGSyOr8E0OaVV14BABw4cED1TXdDlputSb9+/VST2i9fvozU1NQa8xpz2I4usrKy0KFDB2RmZuLmzZuIjY3F1atXaw0slQsn+Pn54bffflNbBvjVV19Fv3790KFDB7Uy3bt3r3F3+VdffRVRUVGYNWsW/vnnHwwaNAgymQynTp3SmJ/y5ptvIj4+vhF33DgeHh4YOHAgwsLCVEGdp6cnPD09ERUVhaCgIDz88MN45JFHVBu/UsvV4MDC2dkZlpaW6NKlC8aNG8flZon+X2xsLHr16oU//vgDgO7d156ensjIyABwZ736uLg4ncd6Vx93HBMTg6effhodO3bE8ePHERoaiq+//hqHDx+u9RxNuQGRMogC7nxbV985FqWlpbhw4QKWLVuGwYMHG6qaBmdhYQE7Ozs8+OCDeOSRR1S7oNdEuYs76U/79u1rHUbY1Fq1alXrsMW62Nvbo7CwEEOHDoVUKjXI/i7V51hcuXIF27dvx+LFi1XpmZmZBt0l2dHREYcOHWrwZz87OxsdO3bElStXcPPmTXTp0gWxsbFqgUVubq7acLSioiJ4enrC2toagwcPRkREhCrNxsYGcrkcI0eO1On6ERERKC8vx99//41hw4bhwoULmDx5Mvr27Yvly5dj9OjRAO70Ig8bNgz9+/fHTz/91KB71QeZTIa1a9fi8uXLqlWuAgMDVW0cGhqK6dOnw9LS0mjzk8h0NDiwGDhwoGrn0tmzZ+uzTkTN2s2bNzFp0iTs37+/Xl32dQ1nqk314OXChQuYOXMmpFIpbty4AalUirFjx5pUF3X1IKqoqAjW1tb17rHw9PQ0i2/Htm3bhpiYGHz99dd15uXkbfPXunXrGleE0oWyF8zKygo//PCDHmv2P9WHQv3555/YvXu3WmChbcEKfVq1ahVGjRqFe+65R6dhY3fLzs6Gv78/Tp8+jZSUFHTv3l2tB6aqqgoDBw5UCziLi4tVPQlr167VOOfHH3+Mnj176nT9adOmqf3+22+/oXfv3pBKpap9KwBg5cqV9bovQ7v33ntVwVdwcLBqiK9EIsHrr79uzKqRCWnULJvevXvXOc+Cy81SS1NUVARfX1/k5eUhMzNT529wvLy8kJCQ0ODrWllZobKyErGxsXj88cdRVlaG+Ph4ODg4mNyuzJ6enrhy5Qqee+453Lp1CyEhIfWeY/Hnn3+a9HCL+rCzs9NpOBeHQpm/Xbt2Naq8g4MDUlJSDLrCW/XAIjo6WtUDqfwGW6FQGHQpZA8PDwwZMgS3bt1qcGAREBAAIQRu3LiB7t27q63gdP78eY2Vm+7eQ+Zu999/f73roTRgwIAGlzWWF154gRO1SatGvSv27t1bZ3dnenp6kw6xIDIFMpkMu3btQnZ2tmq37Lp4enrim2++gUKhaNA127Zti+3bt+PUqVOYPXs2MjMzcevWLdjb2yMkJKRB5zQULy8vnD9/Hi4uLjhw4AD2799f5xKM1ZWUlJhUD0xj1TUZVomTt81fY4eS2Nvb4+rVq2pDdfSt+qpQN2/exMCBA5GcnGzQ4U93a926db02l1RSKBSIjo5Gjx490KtXL8TGxqJnz5747rvvVHtFnD59GhKJBFVVVaqHZ+XkbbqDX3BQTRr8lcLEiRN1+raQy81SS3bgwAGdVhwB7qwVP2DAgAZ3KU+ZMgXFxcWYPHky7Ozs4OPjg/T0dKSlpZlkj8WBAwdUDz82Njb17rEwpwds5T4EdWGPBdXFwcEBV69ebdAEcF3Z29urLTdb/SG/qqoKlpaWBru2ko+PT4MCi1OnTqGwsBDt27fH22+/jS1btsDV1RVnzpzBli1bANz5QjQkJERtxba6eiyI6I4G91hUVVXh1VdfhZOTE1atWlVjPi43Sy1VaWlpvVZksbGxwfPPPw8ADeq1CAkJUeuZsLW1RXFxMW7cuGFyvYb29vaIi4tT1UsqldYrsDD0UIumZmtri7KyshrT8/PzERERgcrKSg4/oFrZ2tqidevW6NKli8Gu4eTkpPbQXf0hX9vy2obg4+OD48eP65y/qqoK+fn52LdvH1577TWN3oeffvpJNUE6MzMToaGhyM3NVc0VYWBBpJsG/w+1adMmeHl5YfLkyfqsD5HZMIVvlvv27YuMjAyTXKmj+so39e2xMDd1rRx2+/ZtREdH88GG6iSRSAy+NKmVlRXkcjmEEJBIJPDx8UF0dDQAID4+vkmGXvr4+OCvv/7CqVOn0Ldv31rzCiHw1FNPQSaTwcHBQesSsEFBQargKDs7G126dEFubq4q3dSX0CUyFQ0OLCwsLLB9+3YMHDhQj9UhIn2aN2+esaugExsbm3otN9vSFBcXIzAwsF67dBMZmnIjvOo9FrGxsWjfvr3Br+3m5oZXX30Vc+fOxe+//66WVlZWhrlz52Lu3Lnw9PREbm4ubGxssGnTplrPp1weX6FQwN3dXa1XRgjRJEO8iJq7Bo8l8PLyQlBQkD7rQtTscahKw7T0Hgul0tJSXL9+XWPseHFxMYKCgsxqXgk1f7dv34arqyu8vLwQExODxMREnDt3DmFhYQa/tkQiweOPPw5PT0+UlpaqpV24cAE7d+7E2bNnAdyZYO7v71/r+arv6C2EgLOzs6rHorKykpv8EumowYHF0KFD8dtvv9WZLyMjg1E+mb24uDj89ttvKCwshIODg7Gr0+zUd46Fufrwww8xZ84cjZ5gZY+FKQyvIwLuzJNKTk6Gm5sbrKysMH/+fHz00Ufw8fFB27Ztm6wegYGBuH79utqx8+fPY9iwYbh58yYAICUlRafJ7BUVFVi/fj2EEHBxcUFubi6qqqrQq1cvPscQ6ajBgcWSJUvw0UcfYf/+/XXmrc8mYUTN0UcffYTXXnsNhYWFcHR0NHZ1mh0OhbojOzsbixcvxr333ovKykrV8aKiIgQFBTGwIJOh7KVQzt8aNGgQPv74YyxdurRJH8KDgoI0lqpW7mitDCxu3ryp027mK1euhIeHB95//30EBQUhISEBiYmJuHDhgmrHaSKqXYPHbLz55pto3bo1Hn30UQQGBiIsLAweHh4akxBLS0vrnJhobNHR0ejZsyfkcjmOHTvGeSNUb2lpaejXrx9++OEH9lg0gK5DobKysvDwww8bdI1+Y8rJyYGbm5tqXwuZTAYrKysUFxfDz8+P7y0yGQ888AA+//xzzJ0716j1aN++PU6dOoWoqCjVsaysLHTv3h3bt2/H2bNn8c477+Dw4cN1nqv6ztJyuRzx8fGIjY3FqFGjEBkZabB7IDInDQ4sNm7cCIlEAiEEEhMTkZiYWGNefQQWBw4cwMqVK3H+/HmUl5cjNDQUzz33HF5++eVGLTtZVVWF5557juMnqVHkcjmmTJmCLVu2YNiwYcauTrOj61CovLw8DBo0CB988EET1Krp5eXlwcnJSbWvxbp16xASEoLi4mJ4e3vj7bffNnYViQAATz75JJ588kljVwP9+vXD4sWL8eabb6qeNRQKBdzc3HD58mW8+eabWLBgAUJDQ+t1XktLS8jlcmzcuBHTpk1Dv379DFF9IrPTqFmmq1atgpOTU6158vLyMH369MZcBsuXL8ecOXPw6KOP4vDhw3BwcMD69esxdepUHDp0CHv27GnwhNnly5cjKSkJzs7OaitAENVXaGgoFi9ebOxqNEu69liY28Z41clkMuTm5sLCwgJ2dnYoKSnBlStX4OjoiNLSUtjZ2WHQoEHGriaRSbG0tIS/vz8yMzPh5eWlOi6RSPD111+jsrIS4eHhDTr3p59+iuTkZDzwwAP6qi6R2WtUYDFmzBh4enrWmicjI6PBOwkDwIkTJzBnzhx06NABe/bsgbW1NYA7AUFubi7WrVuH5cuXN2hZzbi4OLz77rv46KOPsGzZMgYW1CBJSUlc37yRdJ1jYc6BhYuLC65duwbgfztxx8bGIigoSBVsEJGmsLAwxMbGqgILZc9Fp06dGnXegIAABAQENLZ6RC1Kg8cQnThxAm5ubnXm8/Dw0JhYVR8LFiwAAEydOlUVVCjNmDEDALBixQqN5ebqIoTA888/j549e+KFF15ocP1M3cmTJ41dBbM3bdo0vPbaa8auRrNmaWmJqqqqOvOZc2DRuXNnVc+rnZ0d9u3bh8LCQmRmZqK4uJiBBVENlIEFERlfgwOLvn376rTyg4WFRZ3rR9ckKysLx48fBwA89NBDGumhoaFo06YNCgoKdFqdqrpPP/0U586dw1dffWXyk8sbqry8XBV8keEIIdCnTx9jV6NZk0gkSEpKwpkzZ2rNZ86BRbdu3VRf1tjZ2eGzzz7Dtm3bkJGRwcCCqBbt27fH1atXAdzZHE8qlRq5RkQtV8NnPf+/srIyrF27FiNHjkT37t3RvXt3jBw5EuvWrUNZWVmjzn3u3DkoFApYW1sjODhYax7lRjzKjXB0kZycjLlz5+Kdd95BSEhIo+poylJSUlQb/BCZuoULF6oeDmpSVlZmtkuudu7cGU8//TSAO0OhMjIycO+996K8vJyBBVEtgoKCVMMIc3Nz4eLiYuQaEbVcjZpjcfHiRTzxxBO4ceOG2l4V0dHR+P7777Fs2TLs3bu3weMclX8oPDw8alz5ycfHRy2vLl588UUEBwdj1qxZDaoXcKc3oPqY8IKCAgB3VqNQKBQNPm9DKRQKCCHUrp2cnIz8/Hyj1KelUL62+n6NtbWnuXN0dERycnKt91xcXAypVNqsXhdd29LGxgZjxoyBQqGATCaDs7MzJBIJ8vLykJCQgFatWjWr+zZXLfGz2RwIIVBVVYWcnBw4OTnp3D5sT/PC9jSM+ryeDQ4sMjIyMGTIEGRmZuLee+9Fz549VROnMjIycObMGVy+fBlDhgzB33//rbZag66UD+u1DX1QTprNz8/X6ZxbtmzBoUOHcPr06QavJAUA7733HhYuXKhxPCsrq9E9NQ2hUCiQn58PIYQqCLty5Qry8vKQmZnZ5PVpKXJzcyGTyfT+GmtrT3MnhEBKSkqNr+XkyZNRUlKCp59+ulm9pxvSllVVVXB2dkZmZiY+++wzlJSUoKioCEVFRQauLdWlJX42m4MuXbpgyJAhqKysxLBhw3T+G8H2NC9sT8MoLCzUOW+Dn6yXLVsGuVyOw4cPa53/AABHjhzB2LFjsWLFCqxcubKhl9KbzMxMvP7665g+fXqDl59Tmjt3rtoyugUFBfDz84OHh4dRdl5WKBSQSCSq3p3z58/jr7/+gru7OxwdHc12+Iix3b59G/7+/nWujlZfd7dnSxAcHIyKiooaX8tz585BLpfD29tb76+3ITWkLX18fFT32ZzutSVoiZ/N5uDdd99tUDm2p3lhexpGfZ4hGxxY/PLLL1i5cmWNQQUARERE4IMPPsCSJUsaFFgoH9BrW/GppKQEAOrcTwMAXn31VTg7O2vtaagvqVSqdYKYhYWF0d7MEolEdf1FixbhqaeegpWVFQoKCrgcqgH8+eefWL58OQYNGmSQNq/eni2Bm5sb8vLyarxfFxcXxMTEwM7Ortm9JvVtSwcHB7i7uze7+2wpWtpn09yxPc0L21P/6vNaNvhVv3nzJgYOHFhnvoEDB+LmzZsNuoZywnZWVlaN47vS0tLU8tbm22+/RXJyMjw8PGBvb6/2k5ycDACIjIxUHdu6dWuD6m0KJBIJxo4dCw8PD52HiVH9HDt2DM8//zxefvllY1fFLDg6OqqGP2rj4uICIUSL6H1r1aoV3N3djV0NIiKiemlwj4VMJkNOTg7atm1ba76cnJwGLw8ZHh4OCwsLVFZW4tq1a7jnnns08ijXru7Ro0ed5/v3339rTBs4cCBSU1Px1VdfoVevXgDQoHkhpsbJyYkb/xlIbm4u2rVr16i5OvQ/FhYWtU4QU/ZKmutys9UFBATgP//5j7GrQUREVC8NfiLq0qULPvroI2zcuLHWfCtXrkTXrl0bdA1PT08MGDAAx44dw9GjRzUCi7i4OKSkpMDBwQFDhw6t83zt2rWrMU35cOjr61trvubGycmJPRYGkpeXB2dnZ2NXo0WorKyEVCqFo6NjiwgsHB0dERERYexqEBER1UuDh0JNmjQJmzdvxqOPPoqDBw+q7ZeQk5OD/fv3Y+jQodi+fTsmT57c4ArOnz8fALBmzRqNnXmV8zZmzZqlNocgOjoaHTp0wKhRo3TazdfcVF/619nZmT0WBsL10ptOWVmZagnWlhBYEBERNUcNDizGjh2LsWPHYt++fYiKioK7uzusra1hbW0NDw8PPProozh06BDGjh3bqC79AQMGYMmSJbhy5QqeeOIJREdHIz4+HnPmzMG6desQFRWFuXPnqpXZsGEDYmJisGvXLly8eLHGcxcVFSE9PR3p6emQy+UA7gRF6enpyMrKanCdjUUIgfPnz6ttpsUeC8OpqKjgDq9NRLnjtouLS4uYY0FERNQcNWrK/DfffINly5bB1dUVQgjI5XLI5XIIIeDq6orly5djy5Ytja7km2++iX379qG0tBSDBg1C165dcfDgQaxevRo//vijxhj3UaNGwd3dHf3790fHjh1rPO8HH3wAHx8f+Pj4ICUlBQAwcuRI+Pj46DRnw9SUlJRg2rRpat+ks8eCzEH1wII9FkRERKapUbNOJRIJ3njjDUyfPh3nz5/HjRs3AAD+/v4IDw/X66TWyMhIREZG6pR3wIABOvU4LFiwAAsWLGhkzUxHbm4uEhMT0a9fP4wePRoAeywMJScnR23IGemHpaUl5HI5nn32WTz22GOq3s7S0lLY2tpixIgR7LEgIiIyUXp58reyskKvXr1UqymRceTm5iIjIwMAVEv8ssfCMF588UXs37/f2NUwOzKZDKWlpUhLS8N3332nFljIZDJMnTrVyDUkIiKimug8FGrRokWqzejINOXl5UEmk+H999/H+vXrAbDHwlDS0tIQEBBg7GqYnVatWqG0tBT33HMPEhISVMeVk7eJiIjIdOkcWCxcuBBFRUWGrAs1Um5uLp566ikMGzZMtUpWXZuOUf2dPXsWfn5+ag++pB+tWrVCSUkJSktL4eDgoDquHApFREREpkvnoVBCCHz33XdwdHRs0IX++9//Nqgc6S43NxfDhw9HSEiI6lhdm46R7g4dOoR9+/YhISEBy5YtM3Z1zJJMJkNJSQmKiopgb2+vOq4cCkVERESmq15zLF599VWd80okErXfGVgYXl5eHlxdXY1dDbNUUFCA999/H2vWrEFAQACXmTUQ5VCoyspK2NjYqI4zsCAiIjJ9Og+FkkgkSE9Ph0KhqPMnJiYG7du3hxACUqlUNd6fDOf48eO4cOGC1sBCl9WLEhIS8N133+HgwYOGqF6zd/XqVfTv3x+hoaEMKgxI2WMBAFKpFGVlZQAYWBARETUHOgcWui6tuXPnTvTs2RMxMTHw9/fHyZMnMX78+IbWj3RUVVWFYcOGISgoSCNNIpHU2X5ffPEFkpOTzWr5XX2KjY1F+/btjV0Ns6fssQDUFx4oKyvjHAsiIiITp3NgcezYsVqH2VRVVWHatGkYM2YMCgsLERERgfPnz6Nbt256qSjVLiIiAiNGjIC1tbVGmpubG27fvq21XHR0NMLCwpCVlYVx48bBw8PD0FVtlmJiYhAWFmbsapg95eRt4M5SycrAgj0WREREpk/nwGLAgAE1bniXmpqK/v37Y82aNQDu7JR94MABjvc3EX5+fqp9Le6WkJCA5ORkJCYmwtnZGVZWVqiqqmriGpq+69evIzAw0NjVMHvKfSyAOz0Wyj1YiouLYWdnZ8SaERERUV10DixqcvjwYXTt2hV//fUXHBwcsGfPHixevFhj8jYZT/XAIiYmBmfOnFGlZWdnIyQkBLdu3YKtra3agx0AbNu2jTtMAygpKVEt4UuGU1OPRVFREQMLIiIiE9eowGLRokWIiopCdnY2OnTogDNnzmD48OH6qhvpiZ+fH1JSUgAABw4cwIcffohnnnkGly5dQkZGBkJCQlBcXAxA/cEOAD7//HNkZWUZpd6mhsGy4bVq1QrFxcWQSCQaPRbVl58lIiIi09OgwCInJweRkZFYuHAh5HI5Ro0ahdOnT6vtn0CmIywsDJcuXQJwZxLynj17IJVKsXDhQqxduxYhISGq/UmqT54FgMLCQiQmJhql3tTytGrVCvv27UOrVq3Ueiw4FIqIiMj01WsfCwA4c+YMRo8ejZs3b8LCwgLLly/H9OnTDVE30pPAwEBcv34dwJ35MD4+Ppg9ezby8vLQs2dPhIaGwtnZGYD6cp/Anf0bkpKS0Lt3byPUnFqaHj164I033kBAQACSk5MRHx8PgIEFERFRc1CvwGLNmjWYOXMmKioq4OHhgW+//RYDBw6stUx2djZ69uzJb72NbOjQoRg2bBjCwsIwePBgBAcHo6ioCFKpFG3btoWTkxMAzR6LsrIyth01GalUigcffBDAnaBW2WPBOS5ERESmT+fAYuzYsfjuu+8ghEDv3r2xa9cutG7dus5ycrkcN27caFQlqfGmTZuGadOmqR1zdHREt27d4ObmVmOPRVhYGI4ePYoXXngB7u7uTVllk1FRUaG2CzQ1jepzLBQKBSwtLY1bISIiIqqVzoHFt99+CwCwtrZGUFAQ3nrrLZ3KVf/2m0zPoUOHUFZWppofU33ydkVFBVxcXPDOO+9g5syZ2LhxoxFrajz5+fmqHh1qOtXnWBAREZHpq9dQqD59+sDGxgapqak6l6moqKh3pajp2Nvbw97eHkuWLAGgvo9AYWEhHB0d0blzZ+Tk5BizmkaVl5en6tGhpuPg4ICCggIA4JLHREREzYDOgYVEIsHevXvh6elZrwukp6fD19e33hUj46jeY1FQUAAHBwcj18j42GNhHJaWllAoFMauBhEREelI5+Vm27Zt26AxzlZWVmjbtm29y5FxVJ+8reyxAAA7OzsUFRUZs2pGU1paCplMZuxqtGjcQ4SIiMj06RxYJCUlwc3Nrd4XcHd3R1JSUr3LkXFUn7xdvceiTZs2qt27WxpO3iYiIiKqW6N23ibzo+yx+Pnnn/Hee++p5hYEBwdj9uzZmDp1KqqqqoxbySZWWVnJwMJIKisr8cILL3BFKCIiomag3hvkkXnz8vLCwYMHcfLkSaxbtw4eHh4AgEmTJmH48OGYPn06cnNzVcdbAvZYGM93332HoqIizvUhIiJqBhhYkJp27drh+eefR0REhFrwYGlpCR8fH/j4+CA/P7/ZBRa3b99GWVlZgxYSqKiogLW1tQFqRXVxcHBgUEFERNRMMLAgDWPHjq0xrfqmZc3J4MGDcd999zVoLw72WBARERHVjXMsqF6a66Zl8fHxCA0NbVBZzrEgIiIiqhsDC6oXU+ixkMvlOH/+vM75hRBwcXFRrXa1bt06rFq1CrGxsTqVZ48FERERUd0YWFC9mEKPRWxsLN566y2d8xcWFsLb2xvFxcVQKBTYvHkzvL298eWXX+pUnoEFERERUd0YWFC9NFWPRWZmJoQQqt/Ly8vRvXt39OnTB9HR0UhLS6vXuQICAlBSUoKioiL4+/tj1KhROu+vwsnbRERERHVjYEH14uzs3CSBxbx58/Dvv/+qfv/rr78wcuRI+Pj44PTp06ioqNBarqKiAh988AEKCwtVxzIyMhAYGIji4mLVpn9WVlaq/TiSk5NrDTI4x4KIiIiobs0msDhw4AAefvhhuLq6ws7ODt26dcOaNWugUCjqdZ6KigocOnQIU6dORefOnWFvbw9ra2t4e3sjKioKO3fuNNAdmAcnJ6cmGQqVnZ2N7OxsxMXFISoqCocOHcKDDz4IDw8PnD17FsHBwaisrFTl//HHHxEdHY3Lly9jwYIFiI6OVqVlZmYiMDAQJSUlKCwshKOjIwCgbdu2iIyMxOrVq7Fnzx5V/lWrVqnVhUOhiIiIiOrWLAKL5cuXIzIyEra2tjh8+DAuXLiAhx9+GFOnTsXjjz9er52g165diyFDhuDXX3/FW2+9hQsXLuDSpUtYtmwZLl68iNGjR2PatGkGvJvmzcvLC9evXzf4dW7fvo3s7GycP38e//zzD3788Ufcd9998PT0RHZ2Nnx9fZGRkQEASEpKwsKFC3HgwAHExsbigQceQGZmpupcmZmZaNOmDSoqKlQ9FgDw2WefYdy4cdi+fbtaj8VHH32k9p5iYEFERERUN5MPLE6cOIE5c+agQ4cO2LNnD8LDwxESEoLly5dj0qRJ+Omnn7B8+fJ6ndPa2hpHjhzBqFGjcM899yAsLAzjx4/H1q1bAQCffPIJbt68aYjbafbs7Ozg5OSElJQUg15HGVikpaVh0KBBKCgogJ2dHby8vODp6QkfHx/VPIv3338fr732Gv7++2/ExsZiwIABaoHFpUuXVEvNVu+xAICwsDCkp6ertXdWVpZa8MQ5FkRERER1M/nAYsGCBQCAqVOnajzczZgxAwCwYsUKlJaW6nS+IUOG4IcffoCPj49GWnh4OIA7y5NmZWU1otbmLSIiAqdOnTLoNXJyclSBxYMPPoiwsDAAgKenJ/z8/ODo6IiCggIAQHFxMR555BHI5XIcPXoUDzzwgKo3AwASEhLQrl07AFDrsQCA0NBQ+Pn5qYbUVVVVobS0FDExMao87LEgIiIiqptJBxZZWVk4fvw4AOChhx7SSA8NDUWbNm1QUFCA/fv363TOe+65B5GRkVrT/vrrLwCAj48POnbs2LBKtwDdunVTm8Ogb0II2NvbIysrC2lpaRg6dCheeeUVAHcCizZt2kAmk6mCyeLiYtjb22P37t04deoUgoKCVD0W8fHxCAgIgEQiAaDZY2Fvb6/q8RJCqJamrT40ipO3iYiIiOpm0oHFuXPnoFAoYG1tjeDgYK15lN9knz17tkHXEEIgOzsbmzdvxjPPPIPAwEDs3bsXUqm0wfU2d2FhYTpvLtcQBQUFCAoKQnZ2NgoKCuDt7Y3HHnsMANCnTx+89tpraNWqlSqwuLtHwcPDA5mZmViyZAkmTpyIiRMnqtIKCwvVeiwAYMyYMar9OQoLC+Hn56c2QZ09FkRERER1szJ2BWpz7do1AHceFC0stMdAyiFNyrz18fPPP2PEiBGorKyEVCrFa6+9hrfeegv29vZ1li0vL0d5ebnqd+WwHIVCUe+VqvRBoVBACNEk17awsIBcLjfYtbKystCuXTtcvnwZvr6+EEKo9rSwtrZGmzZtIJVKVRve3X3fVlZWKCsrg4ODA3bt2gUPDw9Vvvz8fNjZ2WnU3dvbG6mpqVAoFPD19UV+fr4qT3l5OaysrJq0XZuyPcmw2Jbmhe1pXtie5oXtaRj1eT1NOrBQPqzLZLIa87Rq1QoAGrQE6oMPPoirV68iJycHv/32G5YtW4YdO3Zg27ZtuP/++2st+95772HhwoUax7OyslBWVlbvujSWQqFAfn4+hBA1BmH6JJfLkZqaioSEBAQGBsLW1lZv505ISICdnR2+/fZbAFCbiK1UUVGBzMxMZGZmqv5d3YYNGwDc6ZFSppWVleH48ePo27evRn57e3vExMTA1tYWbm5uSE9PV+UpKChAXl4e5HK53u6xLk3dnmQ4bEvzwvY0L2xP88L2NIzqe4PVxaQDC0Ozs7NTTert2bMnIiIi0KNHDwwcOBB//PEHunfvXmPZuXPnYvr06arfCwoK4OfnBw8PD7Ux/E1FoVBAIpHU2rujTyEhISgrK8PSpUtRXl6OTZs2wd/fXy/nVigUaNu2LTw9PWvM4+3tjezsbHh6esLGxqbWvErvv/8+bt68iT59+mgsBHDPPfegtLQU9vb2uOeeexAdHa06p6WlJXx9ffUaPNWlqduTDIdtaV7YnuaF7Wle2J6GUZ/nH5MOLJQP6LWt+FRSUgLgzsZtjdW1a1eMGjUKO3bswOLFi/H999/XmFcqlWqdh2FhYWG0N7NEImmy6wcFBeHIkSNwcHDAM888g9OnTyMwMFDn8i+99BJSU1Ph7OyMzZs3q6Xl5OTA3d291vuws7NDWVkZLCwsVPddl65du6Jr165a03x9fXH27FnIZDJ4e3ujtLRUdU7lULmmbtembE8yLLaleWF7mhe2p3lhe+pffV5Lk37VlRO2s7KyahzfpdzLoKbJ3fXVqVMnAMCff/6pl/OZq+HDhyM1NRUzZ85EQEBAvff9SElJwY8//ojbt29rpN2+fRtubm61lq++KpQ+dOjQAefOndNYNQq48w2IpaWl3q5FREREZI5MOrAIDw+HhYUFKisra5ycrVydqEePHjqdc+vWrbh69WqN6XZ2dgDujOGnmgUEBGDx4sW4//774efnV6/A4ssvv1T9283NTSO40DWwUPZW6YOHhwekUik++ugjeHh4qKUpJ44TERERUc1MOrDw9PTEgAEDAABHjx7VSI+Li0NKSgocHBwwdOhQnc45b948fPPNNzWmX7lyBQBUcy+obq1bt0ZqaqrO+d99913VpPuwsDDs2bNHbUPC27dvw93dvdZzKHss9Lkr9qZNm3Dx4kU88MADDCaIiIiI6smkAwsAmD9/PgBgzZo1qKqqUktbuXIlAGDWrFmqB1UAiI6ORocOHTBq1CiNMgCwbds2rTPcExMTsWXLFgDAs88+q7d7MHdSqRSpqalYtGiRakPD2ty+fRtt2rQBADz11FO4ffs2Ro8ejUWLFmHRokX49ddf6+yxUO5jUVxcrOplMhTl5npEREREVDOTDywGDBiAJUuW4MqVK3jiiScQHR2N+Ph4zJkzB+vWrUNUVBTmzp2rVmbDhg2IiYnBrl27cPHiRbU0Kysr3LhxA3379sW3336LmJgYXL58GWvXrkWfPn1QWlqK0aNH46WXXmrK22z2duzYgT59+mDbtm215isvL4eLiws6d+4M4M6Qqjlz5mDbtm145JFHMGTIENy8eVMtUNRG2WOh3HVb39zc3DBs2DAMGzYMeXl5ej8/ERERkbkx6VWhlN5880107doVK1euxKBBg1BZWYmQkBCsXr0aU6ZM0ZhYO2rUKHz77bfo0KEDOnbsqJZ2+vRpbNu2Dfv378fMmTNVexV4eHigT58+ePbZZ/HEE0802b2Zi4CAAHh4eKj2j6hJfn4+oqKi8N///lftuI+Pj2qzw6KiojqvpwwscnJy4Ozs3OB612Tjxo16PycRERGROWsWgQUAREZGIjIyUqe8AwYMUBuzX52bmxumTp2KqVOn6rN6hDvDk2qaUJ2dnY0VK1bAxcVFL0sDW1paQqFQIC4uDqGhoY0+HxERERE1jskPhaLmQyKR1Djped26dbjvvvuwZs0avQQWSjExMQgLC9Pb+YiIiIioYRhYUJM4deoUnn76afj6+upt6FJOTg5+/fVXBhZEREREJqDZDIWi5k25C2ZgYKDeeizmzZuHqqoqvfaAEBEREVHDMLCgJhUUFKS3Hgtd59wQERERkeExsCCDqz7vYvTo0fDy8jJibYiIiIjIEBhYkF4pJ3BX31SuqKgIDg4OAICuXbsaq2pEREREZECcvE16pW3J2ZycHLi6uhqpRkRERETUFBhYkF45ODigsLBQ7djt27fh5uZmpBoRERERUVNgYEF65ejoiPz8fLVj7LEgIiIiMn8MLEivgoKCcPHiRbXhUIcPH+ZeE0RERERmjoEF6VVYWBimTJmCZ599FgBQWVmJy5cvY/DgwUauGREREREZEgML0quwsDBUVFSguLgYAHDlyhV06dLFuJUiIiIiIoNjYEF65ePjg/fffx8ymQwVFRWIjo5Gt27djF0tIiIiIjIwBhakVxKJBJMnT4a7uztu376N2NhYdOjQwdjVIiIiIiIDY2BBBuHu7o6srCzcvHkTfn5+xq4OERERERkYAwsyCHd3d2RnZ6OoqAj29vbGrg4RERERGRgDCzIIZWBBRERERC0DAwsyCHd3d8TFxcHS0tLYVSEiIiKiJsDAggyic+fOyMrKwoQJE4xdFSIiIiJqAlbGrgCZp9atW+Pjjz82djWIiIiIqImwx4KIiIiIiBqNgQURERERETUaAwsiIiIiImo0BhZERERERNRoDCyIiIiIiKjRGFgQEREREVGjMbAgIiIiIqJGY2BBRERERESNxsCCiIiIiIgajYEFERERERE1GgMLIiIiIiJqNAYWRERERETUaAwsiIiIiIio0RhYEBERERFRozGwICIiIiKiRrMydgXMhRACAFBQUGCU6ysUChQWFsLW1hYWFowXmzu2p/lgW5oXtqd5YXuaF7anYSifbZXPurVhYKEnhYWFAAA/Pz8j14SIiIiISL8KCwvh5ORUax6J0CX8oDopFArcunULDg4OkEgkTX79goIC+Pn54ebNm3B0dGzy65N+sT3NB9vSvLA9zQvb07ywPQ1DCIHCwkK0bt26zp4g9ljoiYWFBdq0aWPsasDR0ZEfJjPC9jQfbEvzwvY0L2xP88L21L+6eiqUOACNiIiIiIgajYEFERERERE1GgMLMyGVSjF//nxIpVJjV4X0gO1pPtiW5oXtaV7YnuaF7Wl8nLxNRERERESNxh4LIiIiIiJqNAYWRERERETUaAwsiIiIiIio0RhYEBHVw+uvvw6JRIKAgABjV4WIqFn6448/EBoaColEguvXrxu7OqRHDCyauQMHDuDhhx+Gq6sr7Ozs0K1bN6xZswYKhcLYVWuRkpOT8e6776Jv375wcXGBtbU1vLy8EBUVhV27dtVa9vTp03j88cfh4eEBmUyGjh07YvHixSgvL6+1XFpaGl588UW0bdsWUqkUbdu2xYsvvohbt27p89YId9ro448/1jkv29M0FRcX47333kOPHj3g7OyMVq1aISgoCMOHD8eXX36ptQzb0/Rcv34dr7/+Ojp16gQXFxfY2tqiXbt2ePHFF5GUlFRjubi4OIwbNw4+Pj6wtbVFcHAwZs2ahfz8/Fqvl5+fjzfeeAPt2rWDra0tfHx8MG7cOMTFxen71sxWaWkpZsyYgf79+yM+Pl7nck39+SsvL8eSJUvQsWNHyGQyeHh44PHHH8fp06d1rnOLJajZWrZsmQAgHn30UXHu3DkRFxcn3njjDQFAPPbYY6KystLYVWxRjh8/LqysrIRUKhVvvfWWOHv2rPj333/Fzp07xT333CMAiLFjxwq5XK5RduvWrcLS0lL07t1b/P777yIhIUF88MEHwsrKSvTo0UMUFhZqveaVK1eEm5ub8Pb2Frt27RKJiYli165dwsvLS7i5uYkrV64Y+rZbjPLyctGxY0fRtm1bAUD4+/vXmJftabri4+OFv7+/6N69u9i7d69ITEwUMTExYuXKlUIqlQpfX1+NMmxP03P06FEhk8mEtbW1WLp0qfjnn39ETEyM+PTTT4Wjo6Owt7cXf/75p0a5Y8eOCZlMJkJDQ8WBAwdEYmKi2LBhg7C3txdBQUHi1q1bWq9369YtERQUJOzt7cWGDRtEYmKiOHDggAgNDRUymUwcO3bMwHfc/CUkJIiQkBDh7+8vDh06JAAIACIpKanWck39+SssLBQ9evQQVlZW4oMPPhAJCQni999/F7179xaWlpZi69atjX0pzBoDi2bq999/FwBEhw4dREVFhVrapEmTBACxePFiI9WuZdq7d68AID7++GONtNTUVOHg4CAAiLVr16qlJSQkCKlUKjw9PUVubq5a2pIlSwQA8fzzz2ucs7KyUoSFhQkA4tSpU2ppJ0+eFABE+/btGWDqyfz584Wzs7PYtm1brYEF29N0FRUViYCAANGjRw9RWlqqkb5kyRLRtWtXtWNsT9PUqVMnAUDMmzdPI23t2rUCgOjUqZPa8dzcXOHu7i5sbW3FtWvX1NK2bt0qAIiIiAit14uIiBAANB4qr127JqRSqXB3dxd5eXmNvCvz9sMPP4iXXnpJFQjoElgY4/M3ceJEAUAsWbJE7Xhubq7w9PQUUqlU4/1D/8PAopkaNGiQACA+//xzjbTY2FgBQDg6OoqSkhIj1K5l2rt3r7C0tBT5+fla05966imt/3E999xzAoCYPXu2Rpm8vDwhlUqFhYWFuHHjhlra5s2bBQDRq1cvrdfr3bu3ACC++eabBt4RKV2+fFnY2NiIr776Shw7dqzWwILtabrmzZsnAIiDBw/qXIbtaZpkMpkAIH7++WeNtEuXLqkeWrOzs1XHFy1aJACI//znPxpl5HK5aN26tQAgTp48qZam/CKvdevWWnucx4wZwy/zdFBVVaX2uy6BRVN//q5fvy4sLCyEVCrVGijOmTOnxmCG7uAci2YoKysLx48fBwA89NBDGumhoaFo06YNCgoKsH///iauXcv1yCOPICcnB46OjlrT27RpAwDIyclRHZPL5dizZw8A7W3p5OSEHj16QKFQaMzR2LlzZ43lACAiIgIA8O2339bzTqg6hUKBiRMn4oEHHsDEiRNrzcv2NF1yuRwbNmyAVCrFoEGDdC7D9jRNnTt3BgBcvXpVI015TCKRwNbWVnW8tjaxsLBQvS/ubhNluYEDB8LCQvOxiW2pG0tLy3rlN8bnb/fu3VAoFAgPD4eTk1ON5Xbv3g25XF6v+2kpGFg0Q+fOnYNCoYC1tTWCg4O15gkLCwMAnD17timr1qJZW1vXGFQAdyaRAcB9992nOhYfH4+8vDwA/2uzu9XUlspJZPUtR/WzevVq/PPPP1i7dm2dedmepuvy5ctIS0tDQEAACgoKMHv2bHTo0AGurq4IDg7G+PHjceXKFbUybE/T9fnnn8PX1xeLFy/Gzp07UVpaioqKChw+fBjTp08HAAwYMAB2dnYA7kzYV7avodryypUrKC0tbeSdkZIxPn+6lsvNzUVCQkJdt9AiMbBohq5duwYA8PDw0PrtCQD4+Pio5SXjqqqqwuHDhwEAU6ZMUR2v3j7e3t5ay2pry6KiImRmZupULj09HSUlJY2ofcuVlJSEt956C4sWLaoxiK+O7Wm6/vnnHwB3VqUJDw9HTEwMPv/8c5w4cQIzZ87E999/j/DwcPz000+qMmxP09WlSxfExcVh1qxZeO6552BnZweZTIbBgwcjNTUVnTt3xoYNG1T5k5KSVKsl1qctq/9eVzmFQlHralRUP8b4/NXV1tWP8/lKOytjV4Dqr6CgAAAgk8lqzNOqVSsAqHP5PGoaGzZsQHp6Ol566SX06NFDdVzZlpaWlrC2ttZaVltbKssBNb8PlOWUZav/TrqZNGkS2rdvj9dff12n/GxP05WVlQXgzpLQXbt2xffff6/6YqZjx44ICAhAVFQUxo0bh2vXrsHd3Z3tacJyc3Mxfvx4/Pzzz5gxYwZGjRoFqVSK33//Henp6ZgxYwZcXFxU+evTJnf/v1nX/7l3tyXphzE+f3W1taWlJaRSKcrLy9nWNWCPBZGBJSQkYObMmejTpw8+/PBDY1eHdLR+/Xr89ttvWL9+fb3HBpPpqf6t5CuvvKLR2xsZGYmQkBAUFBRg06ZNTV09qgchBIYOHYoff/wRc+bMwYoVK9CjRw906tQJr7zyCsLDw9G+fXv88ssvxq4qUYvDwKIZUo7jr20sp/I/UW2Tj6jppKWlYfDgwWjXrh3279+vNpEQ+F9byuVyVFZWaj2HtrasPpejpvdB9Qcpvg/qJy0tDTNnzsQbb7yhmiSqC7an6ar+DWSHDh205gkPDwcAnDlzBgDb01T9+uuvqjaaMWOGRvoTTzwBR0dHPP7447hw4QKA+rXJ3e1R1/+5bEvDMMbnr662lsvlqk352NbaMbBohpRjvbOysmrcYVs5UViXceFkGLdu3cJDDz0ET09PHD16VOsfoertk56ervU82trS3t4enp6eOpXz9vbmMIt6OnToEPLy8rBq1SrY29ur/URGRgK4M6Sm+nGA7WnKlGOqAcDV1VVrHgcHBwB3htkAbE9Tdf78eQCAl5dXjW0ZFhaGqqoqfPXVVwCAwMBASCQSAPVry+q/11XOwsICAQEB9bgTqo0xPn91tXX143y+0o6BRTMUHh4OCwsLVFZW1jh5KDY2FgDUxvNT07lx4wb69+8PT09PHDlyRG2sb3UhISGqgEPZZnerqS179uzZoHJUtxEjRuDff//FP//8g7///lvtR/mg0rp1a7XjANvTlHXt2lX174yMDK15lMeVn1e2p2lTBgraKIe6paSkAADs7OzQsWNHAIZry44dOzJI1CNjfP50Lefs7Ix27drVeQ8tEQOLZsjT0xMDBgwAABw9elQjPS4uDikpKXBwcMDQoUObunot3r///ot+/fohODgY+/fvV32bDdxZmaZ6m1haWmLEiBEAtLdlfn4+zp49CwsLC4wcOVItbdSoUTWWA4AjR46o5SPdOTg4oF27dlp/fH19AQBWVlZqxwG2pylr3749QkJCAAAXL17Umke5/8H9998PgO1pqpTtmJ6eXuME2ri4OADqq/jU1iYKhQK//vqrWr67yx0/flzrKAG2pWEY4/M3cuRIWFhY4Pz581rfW8pyI0aM4Ny7mhh7hz5qmOPHjwsAomPHjhpb0k+aNEkAEIsWLTJS7Vquy5cvC29vbzF8+HBRVlamka7ctbm6f//9V9jY2AhPT0+NnT6XLFkiAIjnnntO41wVFRUiJCREABCnTp1SSzt16pQAIEJDQzXeH9Q4de28zfY0XZs2bRIARIcOHTRex19++UUAEG5ubiI3N1d1nO1peoqLi4WXl1eN/8/t379ftatz9V3Wc3JyhJubm7C1tRWJiYlqZbZu3SoAiEGDBmm95oMPPigAiG3btqkdv3btmpBKpRrvG6obdNh52xifvwkTJggAYunSpWrHc3Nzhaenp7CxsREJCQn1uNOWhYFFM6b8UD366KPi/PnzIi4uTsyePVsAEFFRUfwPq4ldunRJuLu7CwCic+fOIjw8XONH+Yfubps3bxYWFhaiT58+4uTJk+LatWvigw8+EFZWViI8PFwUFBTUeE1XV1fh7e0tdu/eLZKSksTu3buFt7e3cHV1FZcuXTL0bbcYmZmZIi0tTezevVsAEG3atBFpaWkiLS1NFBYWquVle5ou5Rcvjz32mDhz5oy4fv262Lx5s3B3dxeOjo7i2LFjGmXYnqbnyJEjws7OTlhZWYl3331XxMTEiMTERPHVV18JNzc3AUBMnTpVo9zRo0eFra2tCA0NFQcPHhSJiYliw4YNwt7eXgQEBIjU1FSt10tNTRUBAQHC3t5ebNiwQSQmJoqDBw+K0NBQYWtrK44ePWroWzYLyr+jaWlpqsDizJkzqmPaNPXnr6CgQISHhwsrKyvxwQcfiGvXromTJ0+K3r17CwsLC7F582a9vR7miIFFM7dv3z7x0EMPCScnJ9GqVSvRpUsXsXr1alFVVWXsqrU4q1atUv2hrOtHmz///FMMGzZMuLm5CalUKsLCwsTChQtFaWlprddNSUkRkyZNEm3atBE2NjaiTZs2YtKkSSIlJcUQt9li+fv719ie8+fP18jP9jRdO3bsEAMHDhROTk7CxsZGBAYGipdeeknjW+zq2J6mJyEhQUyZMkWEhIQIW1tbYW1tLVq3bi0ef/xx8csvv9RYLiYmRowdO1Z4eXmp2n/69Ol19jjk5uaKGTNmiKCgIGFjYyO8vLzE2LFjxdWrV/V8Z+artr+jtQ2iaerPX2lpqVi0aJEICwsTUqlUuLq6iscee0z88ccfDbrvlkQihBD6GlZFREREREQtEydvExERERFRozGwICIiIiKiRmNgQUREREREjcbAgoiIiIiIGo2BBRERERERNRoDCyIiIiIiajQGFkRERERE1GgMLIiIiIiIqNEYWBARERERUaMxsCAiIiIiokZjYEFE1EQWL14MiUSi+tm4caNR6lFWVqZWj4CAAL2cd8GCBSZxf0REZBwMLIiIAOTk5GDBggXo0aMHnJycYGNjAx8fH3Tr1g3PPPMMvvzyS8TGxjbqGq+//jrS0tIwevRoPdW6YWxtbZGWloYzZ87o9bwzZ86s8/6WLFkCV1dX/Prrr3q9tj5dv35dLUCq/nP8+HG1vHcHU/oO1nR15MgRuLq64r333mvS6xIRVcfAgohavKtXr6Jjx4748MMP8dhjj+HIkSO4du0afv31V7z22ms4d+4cXnzxRTz55JONuo6dnR28vb0hk8n0VPOG8/b2hoeHh17PaW9vX+f9bdu2Dbm5udizZ49er61Pfn5+GoHXmTNnkJaWhvvvv18trzKYmjFjBgCgT58+SEtLw9mzZ5u0znv37kVubi62bt3apNclIqrOytgVICIytkmTJiE9PR07duzAf/7zH7W09u3bY/DgwejatauRamdeZs2ahS+++AITJkwwdlVqZGlpCW9vb5SVlamOeXh4wNvbWyOvvb296gcAbGxstOYztOeeew7nz5/HCy+80OTXJiJSYmBBRC1afn4+/vjjDwBAZGSk1jze3t74z3/+gyNHjjRl1czS+PHjMX78eGNXw+yEh4fjr7/+MnY1iKiF41AoImrRFAqF6t+pqak15nv77bexe/durWklJSVYunQpunTpAjs7O8hkMoSFhWHChAnYt2+f2jXudvLkSTz44INwcHCAo6MjHn30UcTFxdWY//r165g8eTL8/f1hY2MDDw8PREVF4eDBgzWWuXjxIoYPHw4XFxfY2dmhe/fu2LRpU4353d3da5wrMH78eLW5BNevX6/xPNUdP35crVz14OLkyZMaaSkpKXjqqafg7u4OmUyG7t27Y9++fbW+LuPGjYOnpydsbW0REhKCt99+GyUlJUad+1BdTk4O5s6diw4dOkAmk8HJyQl9+/bFV199Bblcrpb3+eef15jbsX//fgwYMABOTk5qx2u7v5rmgFT/8fT01KhrSkoKXnnlFQQHB8PW1haurq6IiIjQ+hmIiIjQeE+sX78enTp1gq2tLby8vPDCCy+gsLBQr68nEZkgQUTUwrVu3VoAEAMGDBDp6en1KpuRkSE6deokrK2txdKlS0VcXJy4cuWK+Pjjj4Wjo6MAIL7//nu1Ms8++6wAICZMmCCGDBkiTp8+LeLi4sSKFSuEpaWl8PX1FYWFhRrXOnHihHBychIeHh7im2++EfHx8eLw4cOid+/eAoBYtmyZRpljx44JmUwmXFxcxNdffy2SkpLE2bNnxahRo8TEiRMFAOHv769xT2fOnNGalpeXJ9LS0kSbNm0EAJGUlKRxTeX9ff3116pj5eXlIi0tTXz00UcCgHj22WdVaRUVFWppjzzyiOjbt6/4+eefRWJioti5c6dwdXUVlpaW4uzZsxrXu3LlinBzcxNSqVSsWrVKXLt2Tfzzzz/i5ZdfFgMHDhQABACRlpYmMjMzNRuxBklJSaqy2u6zuvnz56veQ9rEx8eLtm3bCnt7e/Hpp5+Ka9euiYsXL4qXX35ZABBRUVGivLxclT8/P1+kpaWJPn36CADixRdfFIMGDRInTpwQiYmJ4t133xUAxLFjx0RaWlqN7TV//nwxevRokZaWpvYTFxcnvL29tb5v/vjjD+Hi4iK8vLzE1q1bRVJSkjhz5ox48sknBQAxadIktfw5OTlq74nJkyeLV199VVy9elVcuHBBjBs3TgAQw4cP1/WlJ6JmioEFEbV4X3zxheoBUiaTiaefflrs3r1bFBQU1Fk2MjJSABArVqzQSNu2bZsAIPbu3at2XPng7eLiIoqKitTSRowYIQCILVu2qB3Pzc0VXl5eAoD4888/1dJKS0uFj4+PsLCwEGfOnFEdLykpEb6+vgKA+OGHH9TKyOVy0bVrV60Po0L876FaW5oQQvj7+9crsFD6+uuvNQKLu9MAiFOnTqmlrV69WgAQEydO1CjXrVs3AUCsXr1aI2348OGqc9aXvgKLqqoqcd999wkAYvv27RrpTz/9tAAgZs2apZE2YMAAAUD4+vqK0tJStbSQkBDV61RTe82fP1/raz127FgBQERERAiFQqE6npeXJ3x8fAQA8ccff6iVkcvlol+/fgKA+PTTTzXOqXxPPPzww2rHKysrhYeHhwAgkpOTNcoRkfngUCgiavFeeOEFfPrpp3B1dUVpaSm2bt2KkSNHws3NDYMGDcJnn32GgoICjXLR0dHYv38/rK2t8eKLL2qkP/nkk2jdujWsra21Xnf06NGws7NTO9arVy8AwN9//612fP369cjIyECfPn3Qu3dvtTRbW1uMHz8eCoUCn332mer4rl27kJqaCl9fXwwbNkytjIWFBaZMmVLzi2JEoaGhGqsv1fS6nDhxAtHR0bCxscHEiRM1zjV16lS91Kljx45qE7Xv/lm6dGmNZX/44QdcunRJNVfnbq+//joA4JNPPkFubq7Wc0yaNAm2trZqx+Li4jRep7tNnjwZCxYsUDv29ddfY/v27fDw8MCWLVsgkUhUaevXr0daWhp69uyJPn36qJWzsLDAtGnTANzZk6WmIX7PPfec2u9WVlYIDw8HcGdYHhGZLwYWREQAXn75Zdy8eRPffPMNnnzySTg7O6OyshLHjh3DlClTEBwcjJ9++kmtzKFDhwAAYWFhcHBw0DintbU1UlNT8cgjj2i9Zrt27TSOubq6AoDGA6byWt27d9d6rqCgIADAqVOnVMd+++03AFA91N2tffv2Wo8bW31eF+U9hoWFaQRpgP7ucd++ffj7779r/NEWWCpVb7vqD/FKXbp0gY2NDcrKyvD7779rPUdD76N169Zq8y7i4+MxdepU1QaGd69gpaxrz549tZ5PeTwtLQ2XLl3Smqc+7UdE5oWrQhER/b9WrVrh6aefxtNPPw25XI5Tp05hx44d2LRpE7KzszFmzBhcvXoV/v7+AIAbN24AQIP3g3Bzc9M4ZmV158/y3ZN5k5OTAQBffvklNmzYoFFOmb/6BPSUlJRa62eMZVF1oe11Ufb63P26NNU9+vv71zrxW/ngrI3yfaJtkjRwZ3lbNzc3pKWlqfLeTR97jlRUVGDMmDEoLi7Ga6+9hqioqHrX1cvLSy1v586dNfLUp/2IyLwwsCAi0sLS0hL9+/dH//79MXPmTHTv3h25ubnYvn075syZo5draPv2ui5TpkzByy+/XK9zCiHqfZ26GOKcSg15XQxZH1PQkNfkbm+88QYuXLiArl27Yvny5XqolXb6qCsRNU8cCkVELd7SpUtx+vTpGtODgoIwZswYAFBbXlXZc5GVlWXQ+lW/lhAC7dq1q/EnODhYVaZNmza11i89Pb3G61laWgKo+Rvm7OzsBt2HvjXmHpuKsu0yMjK0psvlcty+fVstr7798ssvWL16Nezs7LBjxw7Y2Ng0qK7VjxuqrkTUfDGwIKIWb+3atbXukQBANXG2+pCUwYMHAwBiY2O1rtFfWlqKoUOHYu3atY2uo/JaZ86c0ZouhMDDDz+MmTNnqo4NGDAAAHD+/HmtZWJiYmq8npOTEwDtY+LT0tJQUlKiW8UNTHmPcXFxKCoq0kiv7R6birLtzp49q3XC899//42KigrY2tqif//+er/+rVu3VPuGfPLJJwgJCVFL37hxo+q1U9a1pkBb+f7z8fHBfffdp/e6ElHzxsCCiAjA5s2bkZ+frzWtqKgIe/fuhUQiwRNPPKE63q1bN0RGRqKyshJffPGFRrmNGzfi4MGD6Nq1a6PrN3HiRHh7e+PPP/9U7RRe3datW3HkyBEMHDhQdezJJ5+Er68vbt26hR9//FEtv0KhwKefflrj9RwdHREYGIji4mLExsaqpWmb42Es/fr1Q7du3VBRUaG1Xp988okRaqVu+PDhuPfee5GZmYnt27drpK9atQoA8Morr8DFxUWv11YoFHjmmWdUc4QmTJigkWfChAmqHijl++zcuXM4efKkxrlWr14NAJg3bx4sLPgIQUTq+FeBiFo85W7BvXv3xtdff42rV68iJSUF0dHRWLt2Lbp3747r169jwYIF6Natm1rZjRs34r777sO8efOwfPly/Pvvv7h69Sref/99TJ8+HbNnz0aPHj0A3OnBSE9PR2lpKQAgPz8f6enpkMvlkMvlSE9PVwU3d+d1cnLCnj174OTkhOHDh2P9+vVITEzE5cuXsXTpUkyaNAlTp07Fo48+qqqbTCbDN998A5lMhvHjx2PTpk24ceMGzp8/jzFjxsDR0REAVNfOyclRuzflXI7x48fj1KlTuH79Oj7//HNER0ejbdu2AO4MQVIONyoqKtJ6f6WlpaioqNB6f0VFRXXee1ZWlmqo0915AWDLli1wc3PD7NmzsXr1atXr8sorr9Q6qbomymtUH16lvM+Kigq1vMp7Vn7jr7zP6mUtLS2xe/du+Pn5qZY2TkxMxKVLlzBlyhRs3boVUVFRWLJkicZ5ldfLycnRuG+l6te7uy2XLVuGX3/9FS4uLpg6dSouX76s8VOd8n3m4uKCkSNHYuvWrbhx4wbOnTuHMWPG4MSJE3j++efVliqu/j5WvlbK+tT2niciM2TUXTSIiEzArVu3xBdffCHGjh0rOnbsKBwdHYWFhYVo1aqVCAkJEf/973/FyZMnayxfVFQkFi9eLO677z4hk8mEq6uruP/++8WOHTvUNh+rvgFc9Z+kpCS1zdiq/9y9yVxycrJ4+eWXRUBAgLCxsRHe3t5i4MCBYufOnWrXqu7vv/8Wjz32mHBychK2traiQ4cOYtmyZSI+Pl7tWr169VIrp1AoxPLly0VQUJCwtrYWbdq0EbNnzxZlZWWqzdCUP5WVlapN4rTdw7Fjx7SmzZ8/v857v/ta0LLBXmJionjqqadUO3CHhYWJFStWiMrKSgFASCQSnd8PNdUH/7/TdXU13bO2jQVv374t5syZI0JDQ4VUKhUODg6iT58+Yu3ataKqqkqn82rb7E5bPuVGfQEBATXey93vweqSk5PFlClTRGBgoLCxsRHOzs5i0KBBYufOnRrXV26IqO3+a3vPE5H5kQhh5ktpEBFRi1VYWAhHR0e4uLho9MgQEZF+cSgUERE1aydPnsSBAwe0pl29ehUAtO63QERE+sXAgoiImrUjR45g2rRpqKys1EhTrsilbdIyERHpFwMLIiJq9uLj4zFixAicOHECycnJiI6OxpQpU7BhwwaMGTMGzzzzjLGrSERk9jjHgoiImrXk5GR888032LdvH65fv46srCzY2tqiU6dOmDBhAiZMmMDdoImImgADCyIiIiIiajQOhSIiIiIiokZjYEFERERERI3GwIKIiIiIiBqNgQURERERETUaAwsiIiIiImo0BhZERERERNRoDCyIiIiIiKjRGFgQEREREVGj/R+8XDKQagkiqwAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=H2, fig_size=(9, 5), color='red')\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n", - "plot_scenario.capex_factor(\n", - " scenario=scenario, location=houston, process=AWE, fig_size=(9, 5), color='green')\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for meeting maximum demand**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - "# Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, objective=Objective.DEMAND)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1445822 rows, 1130479 columns and 5479749 nonzeros\n", - "Model fingerprint: 0x5d1d64b2\n", - "Variable types: 1130431 continuous, 48 integer (48 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [2e+02, 1e+06]\n", - "Presolve removed 1038471 rows and 828226 columns (presolve time = 5s) ...\n", - "Presolve removed 1038471 rows and 828226 columns\n", - "Presolve time: 5.49s\n", - "Presolved: 407351 rows, 302253 columns, 1274173 nonzeros\n", - "Variable types: 302241 continuous, 12 integer (12 binary)\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.14s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 36\n", - " AA' NZ : 1.234e+06\n", - " Factor NZ : 9.187e+06 (roughly 360 MB of memory)\n", - " Factor Ops : 3.738e+08 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 2.86960028e+14 -4.18438749e+16 1.26e+08 2.47e+04 1.22e+11 10s\n", - " 1 2.49155131e+14 -1.46196623e+16 6.14e+07 5.19e+05 3.67e+10 10s\n", - " 2 2.45345885e+14 -9.30805732e+15 5.86e+07 2.53e+05 2.49e+10 10s\n", - " 3 2.24691046e+14 -3.04696675e+15 3.46e+07 2.90e+04 9.47e+09 11s\n", - " 4 1.26440497e+14 -8.42749210e+14 6.83e+06 1.15e+02 1.87e+09 11s\n", - " 5 2.75638066e+13 -6.66868428e+14 1.04e+06 6.52e-04 8.41e+08 12s\n", - " 6 1.90830952e+13 -3.28316816e+14 5.02e+05 2.74e-04 4.02e+08 12s\n", - " 7 1.45258952e+13 -1.74965291e+14 6.08e+04 1.40e-04 2.02e+08 13s\n", - " 8 1.23257837e+13 -5.89052098e+13 2.92e+04 4.88e-05 7.59e+07 13s\n", - " 9 7.28577650e+12 -1.65921360e+13 8.38e+03 1.53e-05 2.53e+07 13s\n", - " 10 3.57241730e+12 -4.68016970e+12 2.30e+03 4.85e-06 8.73e+06 14s\n", - " 11 6.48088864e+11 -5.21379574e+11 1.96e+02 1.39e-06 1.23e+06 14s\n", - " 12 1.25725954e+11 -6.58110788e+10 3.15e+01 7.60e-07 2.01e+05 15s\n", - " 13 4.71666741e+10 -6.56310704e+09 9.58e+00 3.53e-07 5.62e+04 15s\n", - " 14 3.51735141e+10 2.32556687e+09 6.23e+00 2.26e-07 3.43e+04 15s\n", - " 15 3.12707134e+10 1.00784214e+10 4.79e+00 2.02e-07 2.21e+04 16s\n", - " 16 2.75793985e+10 1.42236302e+10 3.24e+00 1.86e-07 1.39e+04 17s\n", - " 17 2.65833566e+10 1.44744470e+10 2.76e+00 3.02e-07 1.26e+04 17s\n", - " 18 2.63425322e+10 1.51397307e+10 2.66e+00 2.38e-07 1.17e+04 17s\n", - " 19 2.59429832e+10 1.53867335e+10 2.48e+00 1.56e-07 1.10e+04 18s\n", - " 20 2.55210304e+10 1.59474329e+10 2.30e+00 2.00e-07 1.00e+04 19s\n", - " 21 2.52503520e+10 1.60952390e+10 2.18e+00 2.53e-07 9.56e+03 19s\n", - " 22 2.44511957e+10 1.67397229e+10 1.83e+00 4.11e-07 8.05e+03 20s\n", - " 23 2.36490559e+10 1.73476161e+10 1.41e+00 3.12e-07 6.58e+03 21s\n", - " 24 2.31763094e+10 1.82268486e+10 1.17e+00 1.50e-07 5.17e+03 21s\n", - " 25 2.30133761e+10 1.86498562e+10 1.08e+00 1.82e-07 4.56e+03 22s\n", - " 26 2.29081192e+10 1.88296706e+10 1.02e+00 1.55e-07 4.26e+03 22s\n", - " 27 2.27351480e+10 1.89013785e+10 9.30e-01 1.40e-07 4.00e+03 23s\n", - " 28 2.26553352e+10 1.90879708e+10 8.83e-01 1.87e-07 3.72e+03 24s\n", - " 29 2.25057489e+10 1.92466896e+10 8.03e-01 1.36e-07 3.40e+03 24s\n", - " 30 2.23399805e+10 1.93573962e+10 7.13e-01 2.66e-07 3.11e+03 25s\n", - " 31 2.21763634e+10 1.95139086e+10 6.21e-01 2.03e-07 2.78e+03 25s\n", - " 32 2.20961576e+10 1.96565238e+10 5.73e-01 2.06e-07 2.55e+03 26s\n", - " 33 2.20764598e+10 1.96899820e+10 5.61e-01 1.57e-07 2.49e+03 27s\n", - " 34 2.19435796e+10 1.98152749e+10 4.72e-01 9.90e-07 2.22e+03 27s\n", - " 35 2.17863898e+10 2.00581647e+10 3.72e-01 3.38e-07 1.80e+03 28s\n", - " 36 2.17139971e+10 2.01738339e+10 3.30e-01 5.25e-07 1.61e+03 28s\n", - " 37 2.16500221e+10 2.02864383e+10 2.91e-01 1.41e-06 1.42e+03 29s\n", - " 38 2.16240242e+10 2.03823470e+10 2.75e-01 1.22e-06 1.30e+03 30s\n", - " 39 2.15473630e+10 2.05414087e+10 2.27e-01 1.30e-06 1.05e+03 30s\n", - " 40 2.14865624e+10 2.06706998e+10 1.89e-01 1.51e-06 8.52e+02 31s\n", - " 41 2.14491478e+10 2.07042925e+10 1.67e-01 1.10e-06 7.78e+02 32s\n", - " 42 2.14365750e+10 2.07498947e+10 1.60e-01 1.10e-06 7.17e+02 32s\n", - " 43 2.14239444e+10 2.07720503e+10 1.52e-01 1.15e-06 6.81e+02 33s\n", - " 44 2.13921333e+10 2.08177441e+10 1.33e-01 1.01e-06 6.00e+02 33s\n", - " 45 2.13675582e+10 2.08527126e+10 1.17e-01 6.01e-07 5.38e+02 34s\n", - " 46 2.13512410e+10 2.08645492e+10 1.08e-01 5.78e-07 5.08e+02 35s\n", - " 47 2.13435375e+10 2.08811758e+10 1.03e-01 5.46e-07 4.83e+02 35s\n", - " 48 2.13252952e+10 2.08970922e+10 9.17e-02 4.88e-07 4.47e+02 36s\n", - " 49 2.13199290e+10 2.09196466e+10 8.86e-02 5.62e-07 4.18e+02 36s\n", - " 50 2.13100140e+10 2.09309960e+10 8.26e-02 7.54e-07 3.96e+02 37s\n", - " 51 2.13021450e+10 2.09407635e+10 7.75e-02 5.97e-07 3.77e+02 37s\n", - " 52 2.12973183e+10 2.09516606e+10 7.47e-02 3.90e-07 3.61e+02 38s\n", - " 53 2.12915348e+10 2.09628187e+10 7.14e-02 4.12e-07 3.43e+02 38s\n", - " 54 2.12771414e+10 2.10158120e+10 6.38e-02 2.65e-06 2.73e+02 39s\n", - " 55 2.12679603e+10 2.10217795e+10 5.90e-02 4.00e-06 2.57e+02 40s\n", - " 56 2.12613918e+10 2.10273638e+10 5.52e-02 3.36e-06 2.44e+02 40s\n", - " 57 2.12576460e+10 2.10307153e+10 5.30e-02 8.55e-07 2.37e+02 41s\n", - " 58 2.12444767e+10 2.10558441e+10 4.58e-02 4.72e-06 1.97e+02 41s\n", - " 59 2.12415621e+10 2.10586447e+10 4.41e-02 4.04e-06 1.91e+02 42s\n", - " 60 2.12325818e+10 2.10828046e+10 3.96e-02 2.41e-05 1.56e+02 42s\n", - " 61 2.12285778e+10 2.10856717e+10 3.75e-02 2.61e-05 1.49e+02 43s\n", - " 62 2.12251139e+10 2.10879582e+10 3.53e-02 2.36e-05 1.43e+02 44s\n", - " 63 2.12200565e+10 2.11026161e+10 3.26e-02 2.54e-05 1.23e+02 44s\n", - " 64 2.12162516e+10 2.11037188e+10 3.08e-02 2.44e-05 1.17e+02 45s\n", - " 65 2.12067576e+10 2.11071246e+10 2.53e-02 2.24e-05 1.04e+02 45s\n", - " 66 2.12029937e+10 2.11143223e+10 2.30e-02 2.94e-05 9.26e+01 46s\n", - " 67 2.11991553e+10 2.11217358e+10 2.11e-02 2.00e-05 8.08e+01 46s\n", - " 68 2.11943441e+10 2.11239342e+10 1.86e-02 1.93e-05 7.35e+01 47s\n", - " 69 2.11919656e+10 2.11284939e+10 1.73e-02 2.11e-05 6.63e+01 47s\n", - " 70 2.11906390e+10 2.11293255e+10 1.66e-02 2.08e-05 6.40e+01 48s\n", - " 71 2.11869454e+10 2.11397335e+10 1.45e-02 1.91e-05 4.93e+01 48s\n", - " 72 2.11819638e+10 2.11405220e+10 1.19e-02 1.81e-05 4.33e+01 49s\n", - " 73 2.11809686e+10 2.11422882e+10 1.14e-02 1.63e-05 4.04e+01 49s\n", - " 74 2.11782416e+10 2.11430361e+10 9.86e-03 1.52e-05 3.68e+01 50s\n", - " 75 2.11748990e+10 2.11473457e+10 7.96e-03 4.89e-06 2.88e+01 50s\n", - " 76 2.11729190e+10 2.11476347e+10 6.91e-03 3.44e-06 2.64e+01 51s\n", - " 77 2.11711594e+10 2.11497576e+10 5.98e-03 5.39e-06 2.23e+01 51s\n", - " 78 2.11694367e+10 2.11503054e+10 5.04e-03 1.06e-06 2.00e+01 52s\n", - " 79 2.11687268e+10 2.11522082e+10 4.65e-03 1.12e-05 1.72e+01 52s\n", - " 80 2.11682537e+10 2.11524610e+10 4.37e-03 1.12e-05 1.65e+01 53s\n", - " 81 2.11680150e+10 2.11530815e+10 4.24e-03 1.31e-05 1.56e+01 53s\n", - " 82 2.11664419e+10 2.11553721e+10 3.39e-03 7.21e-06 1.16e+01 54s\n", - " 83 2.11656357e+10 2.11555656e+10 2.96e-03 6.61e-06 1.05e+01 55s\n", - " 84 2.11645860e+10 2.11565308e+10 2.36e-03 3.93e-06 8.41e+00 55s\n", - " 85 2.11637823e+10 2.11569126e+10 1.91e-03 3.65e-06 7.17e+00 57s\n", - " 86 2.11630796e+10 2.11577235e+10 1.52e-03 2.27e-06 5.59e+00 57s\n", - " 87 2.11621400e+10 2.11585218e+10 9.86e-04 2.01e-06 3.78e+00 58s\n", - " 88 2.11619048e+10 2.11588515e+10 8.57e-04 1.39e-06 3.19e+00 59s\n", - " 89 2.11610349e+10 2.11592690e+10 3.70e-04 6.77e-07 1.84e+00 60s\n", - " 90 2.11608706e+10 2.11595409e+10 2.76e-04 9.38e-07 1.39e+00 61s\n", - " 91 2.11607848e+10 2.11596305e+10 1.86e-03 9.57e-07 1.21e+00 63s\n", - " 92 2.11606118e+10 2.11601050e+10 1.20e-03 1.34e-07 5.29e-01 64s\n", - " 93 2.11604920e+10 2.11601890e+10 7.80e-04 1.42e-07 3.16e-01 66s\n", - " 94 2.11604665e+10 2.11602153e+10 7.09e-04 3.14e-07 2.62e-01 67s\n", - " 95 2.11604386e+10 2.11602509e+10 1.05e-03 7.08e-08 1.96e-01 68s\n", - " 96 2.11604132e+10 2.11602658e+10 1.22e-03 1.13e-07 1.54e-01 69s\n", - " 97 2.11603771e+10 2.11602828e+10 1.43e-03 5.70e-07 9.85e-02 71s\n", - " 98 2.11603372e+10 2.11602921e+10 6.49e-04 1.57e-05 4.71e-02 72s\n", - " 99 2.11603243e+10 2.11602961e+10 5.26e-04 1.24e-05 2.94e-02 73s\n", - " 100 2.11603167e+10 2.11602983e+10 3.38e-04 8.64e-06 1.92e-02 74s\n", - " 101 2.11603139e+10 2.11602987e+10 2.67e-04 7.82e-06 1.59e-02 75s\n", - " 102 2.11603098e+10 2.11603007e+10 1.61e-04 4.67e-06 9.51e-03 76s\n", - " 103 2.11603068e+10 2.11603015e+10 8.54e-05 2.90e-06 5.56e-03 76s\n", - " 104 2.11603054e+10 2.11603023e+10 5.09e-05 2.04e-06 3.22e-03 77s\n", - " 105 2.11603044e+10 2.11603026e+10 2.62e-05 1.50e-06 1.89e-03 77s\n", - " 106 2.11603037e+10 2.11603029e+10 9.08e-06 5.35e-07 7.56e-04 78s\n", - " 107 2.11603035e+10 2.11603031e+10 3.93e-06 2.99e-07 3.19e-04 79s\n", - " 108 2.11603034e+10 2.11603032e+10 3.57e-06 8.48e-08 2.42e-04 79s\n", - " 109 2.11603034e+10 2.11603032e+10 1.85e-06 2.83e-07 1.27e-04 80s\n", - "\n", - "Barrier solved model in 109 iterations and 79.83 seconds (43.01 work units)\n", - "Optimal objective 2.11603034e+10\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 184665 DPushes remaining with DInf 0.0000000e+00 80s\n", - " 2123 DPushes remaining with DInf 0.0000000e+00 85s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 87s\n", - "\n", - " 95745 PPushes remaining with PInf 0.0000000e+00 87s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 89s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 2.2216545e+00 89s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 141897 2.1160303e+10 0.000000e+00 2.221653e+00 89s\n", - " 141913 2.1160303e+10 0.000000e+00 0.000000e+00 89s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with barrier\n", - " 141913 2.1160303e+10 0.000000e+00 0.000000e+00 89s\n", - "\n", - "Root relaxation: objective 2.116030e+10, 141913 iterations, 81.89 seconds (60.29 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 2.116030e+10 2.1160e+10 0.00% - 89s\n", - "\n", - "Explored 1 nodes (141913 simplex iterations) in 89.82 seconds (68.18 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 2.11603e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (4.7088e-06) exceeds tolerance\n", - "Best objective 2.116030326639e+10, best bound 2.116030326639e+10, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)\n", - "\n", - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_cost = load_results(filename='results_slsp_cost.pkl')\n", - "results_demand = load_results(filename='results_slsp_demand.pkl')\n", - "\n", - "capacity_bounds = CapacityBounds(results_cost)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.model.constraints.resource_balance import constraint_specific_network_discharge\n", - "\n", - "\n", - "def boundser(capacity_bounds: CapacityBounds, bound: float, i: int):\n", - "\n", - " scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case', demand={houston: {H2: 1000, Power: 1000}}, capacity_bounds=capacity_bounds)\n", - " milp = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, objective=Objective.COST)\n", - " milp.constraint_specific_network_discharge = constraint_specific_network_discharge(\n", - " instance=milp, network_scale_level=0, bounds={CO2_Vent: bound})\n", - " results = solve(scenario=scenario, instance=milp, solver='gurobi',\n", - " name=f\"results_slsp_cost{i}\", print_solversteps=True, saveformat='.pkl')\n", - " return results\n", - "\n", - "\n", - "results_dict = {i: boundser(capacity_bounds=capacity_bounds,\n", - " bound=results_cost.output['S_network']['CO2_Vent', 0]*(1 - i/10), i=i) for i in range(5)}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "y = [results_dict[i].output['objective'] for i in range(5)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x = [results_dict[i].output['S_network']['CO2_Vent', 0] for i in range(5)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plt.plot(x, y)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "results_demand = solve(scenario=scenario, instance=milp_demand, solver='gurobi',\n", - " name=f\"results_slsp_demand\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_cost.output['X_S']\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Load results**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# WF = [684.4014120036618, 1033.4426108832972,\n", - "# 1063.7064326899083, 1070.076291927467, 1162.9776467131924]\n", - "# PV = [513.3115672354123, 693.4938162361678,\n", - "# 685.750643303219, 780.5503056944736, 873.0407811070418]\n", - "# ASMR = [573.795828018859, 468.36393394104886,\n", - "# 466.11473508063904, 450.72236352808034, 425.5140309179131]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_cost.output['Capex_process']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - " y=CostY.CAPEX, location='HO', fig_size=(12, 6))\n", - "plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - " y=CostY.VOPEX, location='HO', fig_size=(12, 6))\n", - "plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - " y=CostY.FOPEX, location='HO', fig_size=(12, 6))\n", - "plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.CAPEX, location='HO', fig_size=(8, 6))\n", - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.VOPEX, location='HO', fig_size=(8, 6))\n", - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.FOPEX, location='HO', fig_size=(8, 6))\n", - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(8, 6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzkAAAHtCAYAAAA6IrAJAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD7FUlEQVR4nOydd5wU9f3/XzOz5XqDu6O3o5/YkKKA2CMYo4LELoo1lhj1axK7GBHzsxCNJSKKBruIGGuQ2EEBUXrvSLk74HrZ3Zn5/P6YnbnZ3dk+uzu7934+kofc1M9O+3zen/f7/XpzjDEGgiAIgiAIgiCIDIFPdQMIgiAIgiAIgiDMhIwcgiAIgiAIgiAyCjJyCIIgCIIgCILIKMjIIQiCIAiCIAgioyAjhyAIgiAIgiCIjIKMHIIgCIIgCIIgMgoycgiCIAiCIAiCyCjIyCEIgiAIgiAIIqMgI4cgCIIgCIIgiIyCjByCSBPa2towZ84cTJw4Ed27d0dWVhaysrLQrVs3jBs3DjfffDNee+017N2719TzXnXVVeA4zuf/VmPx4sUBbXz11VdNP48Vr8V7772HU089FcXFxXA6nejZsyfOPvtsvPTSS6lumiF9+vQJuIbq/0855ZSA7b/++uug2yfqPhsxduxYn/P26dMnKeclfHnxxRdRUFCAadOmpawNRt+BcN+EUNtfddVVyf0BBNFB4BhjLNWNIAgiNFu3bsW5556LzZs3o0ePHrj44ovRp08fOJ1O7Nu3D4sWLcLSpUu17efNm4fLL7/clHP/8MMP2L59O7777jvMnj0bAGC1z8bBgwexePFiAMAVV1wBAJg7d67pgwerXYtHHnkE999/P/Lz83HLLbegX79+2LhxI5577jl06dIFu3btSlnbgrFw4UI0NTX5XMN77rkHQ4YMQXl5Oc4880yf7auqqvDFF18AAGbMmIFNmzahc+fOmDVrFgDgpJNOQr9+/RLe7kWLFqG6uhoLFizABx98gN69e1vy+mY6Rx11FNavXw8AOHToEDp16pT0NqjfgUOHDuH2228HAFxwwQWYNGkSABh+e19//XUA0J4fAJg1axY6d+6MiooKnHjiiUlqfeJ56KGHAADnn38+jj322JS2hejgMIIgLE1zczPr06cPA8Cuu+465nK5DLd77bXXGM/zDAB76aWXTG/H3LlzGQBm9c+G2sa5c+cm7BxWuBY1NTXM4XAwAOzDDz/0WffXv/6V9e7dOzUNixD9Nfzqq68i2mf8+PEMQEp/24MPPpjyNnRknnvuOZafn88uv/zyVDeF7dy5U3uGH3zwwYj2UZ8fAGznzp0JbV+qSMY3mCAigcLVCMLivPbaa9i1axcKCgrw9NNPw+FwGG535ZVXal4MIvP58ccf4Xa7ASAgzOuvf/0r/ve//6WgVQSRWG666SY0NDRg3rx5qW4KQRAWh4wcgrA433zzDQBg6NChyM7ODrntpZdemowmERbgyJEj2r8LCgp81hUWFqKioiLZTSIIgiAIy0BGDkFYnMOHDwMAampqwm47atQoPP744xg1alSim0WkGFmWU90EgiAIgrAsZOQQhMUpLi4GAOzYsQPLly8PuW1hYSH+7//+D8OGDQu6DWMMb775Js4++2yUl5fDbrejpKQEJ554Iv7yl79gxYoVEbXr559/xqRJk1BWVoasrCxUVlbiiSeeiGjw/dVXX2HKlCno1q0bHA4HOnfujPHjx+Of//wnXC5XyH2rq6tx6623ok+fPsjKykL37t1xySWXYPXq1SH3Gz16dEglr4MHD5qu3NXQ0ICHH34Yxx13HAoKCpCTk4P+/fvjmmuuCdveYKjKTldffbW2LJzql8fjwXPPPYfx48ejc+fOmgrbpZdeiiVLloQ8j79q1IYNG3DllVeiZ8+esNls2rpUJuGHUmDTt+vVV1+NSNFt/vz5OOWUU1BYWIj8/Hwcd9xxePLJJyGKYsh2BFPNeuONN3DyySejU6dOIc+7bt06XHvttejXrx+ys7NRXFyMkSNH4rHHHkNzc3PY66Bvd15eHiorK3HfffehqakJDz30UED7Vq1aFXCMgwcP4q677sLQoUORm5uLvLw8DBkyBLfeeit27NgRsL3RtX/11VfR1NSEu+++G/3790dWVha6dOmCK6+8Mmb1R6P2+z9z/sp96jV+//33MXbsWO1+jh07Fh999FFM7UgmTU1NmDlzJkaOHIni4mJkZ2ejoqIC1157LdatWxewfVtbW8A1UkUAVN5+++2w11Fl3759+NOf/oQhQ4YgJycHWVlZ6N+/Py677DK8/fbbaGtr07bdtWtXgLrc1VdfHZEiYbTPvf5c+t8piiL+/ve/o7KyEtnZ2ejcuTMmTZqkCVUQHZBUJwURBBGaJ598Ukvk7NGjB/v8889jPlZdXR079dRTGQDWs2dP9sADD7CXXnqJPfDAA2zAgAHaef7whz8E7KtPFP/iiy9Yz5492X333cdefvll9n//938sOzubAWC33HJL0PNLksRuueUWBoCVlJSwv/71r+zll19mM2bMYEOGDGEAWGVlJduzZ4/h/uvWrWNlZWUMABs0aBB77LHH2EsvvcRuuukmVlRUxD7//POgSa+ff/45mzdvHhs3bhwDwMaPH++zvrW1lc2bN4/NmzcvbOJsJMIDq1atYl27dmUA2Jlnnsn++c9/stmzZ7OrrrqK2Ww2xnEce+KJJ4LuH4ylS5eyefPmseuvv15rg9ruefPmsQ8++MBn+71797Jhw4YxAGzIkCFs5syZ7KWXXmJ//OMfWU5ODgPA7rjjDibLctjzfPXVV6xz587slltuYS+99BL761//yrKysmJKojZTeODgwYNs3rx5bMKECQwA43mezZkzh82bN481NTVp223fvp3NmzePXXrppQwAe/bZZ9miRYt8jnXzzTczAEwQBDZt2jQ2e/Zs9vjjj7Pjjz+enXHGGey+++4LKjyg3oPBgwczAGzq1Kns5ptvZgMHDmSPPvooe/HFF9k555xj+Pw9+eSTTBAEZrPZtPM++eSTbOTIkdr7um7duqDXJlS7Bw4cyG699VYGgHXu3Flr55EjR3yO8cUXX7CCggLGcRy78MIL2b/+9S/2/PPPs8mTJzOO45jT6WRvvfWW4bXXvzfPPvssO/bYY9nFF1/MZs+ezZ544gnt/e7Zsyerra0NfpODsHr1ajZv3jx2zz33BE3c/+CDDwLe8b/97W+ssrKSPfHEE+yll15iv//97xkAxnEce/fdd6Nuh55ECg+sXbuW9ezZkwFgI0eOZE8++SSbPXs2mzZtGrPZbEwQBPbUU0/57CNJknYvOnfubNiuXbt2hb2OjCnfr+LiYiYIArvooovYP/7xD/bCCy+wP/zhD9q3vrKyUtu+qakp4Dm4/vrrQ36bGIvtudefS/2d9913HzvrrLPY2WefzV544QX2zDPPsFGjRjEArLCwkG3bti3svSEyDzJyCMLiHDp0SPuQq/8/9thj2VNPPcV2794d8XEkSdIMnGHDhgUMNFwuF5s0aRIDwM4777yA/fWD0srKSrZjxw6f9a+//ro2wAzWeasDxG7dugUYMm1tbez0009nANgJJ5zAPB6Pz/rm5mbWt29fBoCNHj2atbS0+Kz/4YcftEFBKANl6tSphoNMPfEaOQcOHGClpaVa5+vPf//7X00Jz6jjj4RIDK3m5mZtcHnGGWewtrY2n/WrVq1ieXl5DAB76KGHwp6nf//+bMWKFT7rH3nkkbiNnIULF7Kampqw/z/ppJNCKpt988032jHfeeedoOceN24cGzVqVMDyF154Qdt/wYIFPutEUWSTJk3S7msodTXVGOvevTsbN24ca21t1dZJksQGDhzo8/yp10IQhIBJDEmS2JVXXskAsPLyclZVVRVTuwVBCNnutWvXagbrnDlzAtbPmTOHAWB2u50tX77c8BhqG7p27RowAD9y5Ajr1KkTA8CmT59uuH8kfPXVV2GNBPUdLy8vZ6NHj/a5/owxdvXVVzMArF+/fjG3gzFfI+euu+6K6Bm+6667wrb/4MGDrLy8nAFgV155JZMkyWf9559/rt3PV1991fAYvXv3Dml8hbuOo0ePZgAMJ2LWrFnDsrOzgz5L4b6fKvE+94y1/86uXbuyP/7xjz7rXC6XNuFw9dVXh2wLkZmQkUMQacDSpUu1wZX//4855hj24IMPsq1bt4Y8hn5Q+d133xlus2/fPiYIQlgjx2hA7HK5tEHSCy+8ELB+y5YtWsf8yiuvGJ5/w4YN2jneeOMNn3WPPfaYti7YIEv1EqXayLniiisYANa3b18miqLhNuqM8qBBgwK8KJEQiZHz0EMPaYOI7du3G26jziwH20Z/njvvvDNg/erVq9nUqVNZTU1NzO2P9v/BBleyLLOKigoGgJ199tmG22zdupUBYP/61798lre0tLDi4mIGgE2cONFw3wMHDjC73R6xkQOArVmzJmD9c889x2bOnMkYY6y+vp4VFBQwAOyqq64yPF5dXR0rLCw0HKyZ1W7V+3HyyScH/V3q7PqZZ55puF79zX379g0YmDPG2FVXXcUAGBqYkRKNkQOAffnllwHrv/76a239xo0bY26L3siJ5f/B2q9ep8LCQlZXVxfyNxYWFrL6+vqA9fEYOXV1ddq6tWvXGu5/2WWXxWXkxPvcq6i/My8vjzU0NASsV7+B5eXlQdtCZC6Uk0MQacCJJ56IDRs24Pbbb0d+fr7PutWrV2P69OkYOHAgJk+ejD179hge47nnngMA9OzZE2PHjjXcplu3bhg/fnyAWpc/55xzTsAyh8OBvn37AlCKl/oze/ZsSJIEQRAwefJkw+MOGTIEvXr1AgC89dZbPutee+01AErc/YgRIwz3v/DCC0O2OxnU1tbi7bffBqC0RxAEw+3OPvtsAMDmzZvx888/m94OxhheeOEFAEo+UrCCmZdddhkAQJIkvPjiiyGPaXTfjj76aLz66qvo3LlzzG194okn8MUXX4T9/9FHHx3yOBzHYerUqQCU4p379u0L2ObVV19FdnY2Lr74Yp/lH330EWprawEAv//97w2P36VLF4wZMybi3zVw4EDD/LibbroJf/3rXwEoRSIbGhoAtN8LfwoLC7V37o033kBdXZ2p7V6/fj2+++47AMBFF10UdDv1mV28eDEOHToUdLuJEyeC5wOHF0OGDAFg/H1IBPn5+Rg/fnzQdpjZliuuuCKiZziczH9dXR3efPNNAMBvf/tbFBYWGm6nPiv19fV44403TPkNKvq8yu+//95wm+nTp8d13nife3/Gjx8f0DcC7fe6qqoKjY2NMbeXSE9sqW4AQRCR0blzZzz11FOYMWMGPv74YyxcuBCffvqp9uFnjGHBggX45ptv8NVXX/kMrurr67WB9PHHHx/yPJHUVxkwYIDh8qKiIu18/nz11VcAFCPL7XYHHSSVlZVhz549PgIIR44cwcaNGwEgZAXtysrKsG1PNEuWLIHH4wEA9O3bN+jvzMvL0/69YsUKDB8+3NR2rF+/HlVVVQAQ8tgDBgxAQUEBGhoatHsUDP3g0EyGDx9umIjvjyrCEYqpU6fioYcegizL+Pe//427775bW6cuu+CCCwIGj3oBhnDP2Ndffx22HUBk1+vLL7/U/h3qPg0fPhxvvvkm3G43li5diokTJwIwp936+967d++gz6x6zRhj+OmnnzSjx59Yvg+JoKKiwtDYUtthZlv69euHM844I+x2wYwG/Xq1/lW450Hlq6++wh/+8IcIWxqe4uJiDBkyBBs3bsRtt92GHTt24A9/+IM2iQUo1zYemfp4n3t/wj1zgHKvjQwhInMhTw5BpBnZ2dmYMmUK3njjDdTU1OCTTz7B7373O03V5vDhw9pstsquXbu02blu3brF3YZgHYVaqNRIhWr79u1aW0pLS4P+/6effgKgSGYzxgAAu3fv1o7TtWvXoO2KZBCcaNTfCSgz9sF+p37WXTVGEtWO7t27h9xWfSb0+xgRzsNnBXr16oXTTjsNADB37lyfdYsXL8bevXt9lOlU9ApTZj1jkVwv9ZqrqlLB0N9D/X0yo9364/32t78N+szeeeed2nahntlw3wdJkoLuaybh2gEYf6tSSaTvbUlJCbKysgL2MYuXXnoJxcXFcLvdePzxx9GvXz+MHDkSM2fONOV88T73/qTjvSYSD3lyCCKNsdlsmDhxIiZOnIivv/4a55xzDlpaWvDLL79g7dq1mjenqalJ20ftGOPBaHY0HGob+vfvr4VRhYMxBo7jfGREQ7U/WGhYMtFf64cffhgnnnhi2H2CSaua1Y5w91xdr4aPBCOW+54KrrrqKixevBhbt27F999/r4Vnvvrqqz5GkJ5EPGORXC/1PkV6jwDf+2RGu/XPyosvvhg0tFHP4MGDg66zynNilXZEQ7TvbVtbW9j3NhbGjBmDNWvWYNasWXj11Vdx5MgRrFixAitWrMA999yDiRMn4plnnonZmxPvc+9POt5rIvGQkUMQGcIpp5yC2267DTNnzgQAbNq0STNy9LNc+toGySQ/Px+1tbUQBCGisA49+tCuUO03Y4Y43iKb+ms9YMCAqH+rWURzz9X1weL/041JkyZpIXhz587F2LFjUVdXhw8++AB33XWX4YDI/xkL5oUx2wuh3qdI7xHge5/MaLf+WTn66KMxevTo0I0mEkay3ttIvnM9evTAk08+icceewyLFi3CW2+9hQULFqC1tRWffvopli9fjnXr1qG8vDzq88f73BNEJJDpSxAW54knnkCXLl20OO1Q6AcnaqgXoOSGqAO7/fv3m9/ICOjfvz8A4Ndff/VpWyT07t1bC8c7cOBA0O3UBOxQ2GzK3E6w0IV4Z0XV3wkgqAhEMtC3I9w9V9fHE2NvJfTCAu+++y6am5vx9ttvw+VyaQU6/dF70+J9xqJBvU+tra0hE6v1Igr6+2RGu63yzBKRv7e1tbWaAWD03pr5nbPb7TjnnHPw+uuvY8+ePZpQwKFDh/DUU09FfBw98T73BBEJZOQQhMVpampCVVWVYbVxf/Szcz179tT+nZ+fjxNOOAEAsHLlypDHuOGGG/D73//edI/PqaeeCkAJrzGq1q3y448/wmaz4dxzz9WWFRcXY+jQoQCAX375Jei+GzZsCNsOdaY7WMe6ZcuWsMcIxUknnaTFgS9btizkthMnToTNZvMRWTCLIUOGoEuXLgBC3/Nt27ZpAx71HmUCqjHT1NSE+fPnY+7cuTj55JODhmLpFQfjfcaiQX/NQ90nVTjE4XDgpJNO0pab0W59G8I9s5WVlXA4HAnJIyN8vx+hngf9OqP3Np7vXF1dHe677z7DbTp37oy5c+dqeXyhvuWhiPe5J4hIICOHINKEd955J+w2n3/+OQCgU6dOATLLN998MwDFk6LKxfqzevVqzJ49G/v37zcld0fPDTfcoOUFvPrqq0G3e/nllyFJUoDEryqmsHv37qBGwfvvvx+2HQMHDgQA7Nixw3CW8+OPPw57jFAUFRVpM52ff/550MHg7t27sWjRIlRUVGgGqJlwHKcpLv3www/YuXOn4XaqXK0gCLj++utNb0eqOPHEEzFo0CAAwN/+9jcsX77cUHBA5be//S1KSkoAAO+9957hNlVVVWHVsaLlsssu08Jw1HvhT0NDg/ZcXn755T5hO2a0e8iQIdqg8+233w46wbFkyRJs2LAB48ePjylEiQiP/vvx8ccfB/W4qM9KYWGhoQSz+p3bvHmz4f6hvnN1dXWYMWMGvvjiC8P1drtdk4zXq5ep5OTkAICmMgkA3377LQYPHozZs2cDiP+5J4hIICOHINKExx57DJ999lnQ9W+99RZefvllAEoNAzVcQeXyyy/XEq5vueWWgM6zpaUF1113HQDgvvvuM7PpABSJ1fvvvx8A8Oyzz/pIiKrMnz8fL7/8Mo4//viAeh0333yzJmF62223obW11Wf9ihUr8Morr4Rtx29+8xtwHIfW1tYAo2jHjh1YsGBBVL/LiJkzZ6K8vBwtLS245ppr4HK5fNY3Njbi0ksvhSRJmDlzphaKZzZ33XUXhgwZAkmScOONNwaEPK5duxZPPPEEAOCBBx6IKOE8nVCNmu3btyMvLy9kHaWsrCw8+uijAIBPP/0UCxcu9FkvyzJuvfXWqEMtw1FQUICnn34aAPDvf/87YGApyzL+9Kc/ob6+HuXl5VrOXbTtDqcK99xzzyEnJwf79+/HbbfdFpCzUVVVhauuugo2mw0zZsyI5acSEaJ+P+rq6vCnP/0p4F4sXrwY8+bNAwA888wzhspiEyZMAAB89913ASGICxYsiEgh7amnnjL0BP3000+aZ3DKlCkB61U5Z/15f/zxR2zevFlra7zPPUFEAgkPEITF6datG+x2O9ra2jBx4kSMHz8eZ5xxBrp16wbGGPbu3YtFixbhhx9+gCAIePDBBzWvjR6e57FgwQKcf/75+PrrrzFs2DBMmzYN3bt3x+7du/Haa69h7969ePjhh33qX6xZswZr1qzBDz/8oC17/fXXAQAXXHABcnNz8cUXX6CqqkrzWuzYsQOvv/468vLycP7552v7PfDAA2hoaMBTTz2Fs846C5deeinGjBmDlpYWfPvtt1i4cCEGDBiABQsWBBhpOTk5+Oijj3Dqqafihx9+wPHHH4+rr74anTp1wi+//IK5c+fi8ccf1377Dz/8AJvNht69e2PcuHHacfr27YubbroJzz33HKZNm4aVK1diyJAh2LlzJ1577TXMnTsXp59+us8x+vXrh5NOOgk//PADtm/fbngtTjrpJM1IKC8vx+LFizFx4kR88sknOProo3HFFVegS5cu2L59O1577TUcPHgQM2bMwKRJk6J6HkK1QX9PACU3ZdGiRZgwYQIWLVqE4447DldeeSU6d+6MtWvXYs6cOWhubsbtt9+uGaAqoe67/32NhoULF6KpqcnnuF988QV+/fVXlJeX48wzz/TZvqqqShsAqc9Xc3Oz4XX354orrsC9994LSZLw+9//Xrsuwbjhhhuwdu1aPPfcc7jwwgsxdepUnHjiiaivr8dbb72F5uZm3HTTTXjmmWd82nDuueeisLBQ+23+7wGgJPQHK2Y6depUHD58GH/+858xceJETJ06FaNHj0ZTUxPefvttLFu2DD179sSnn36KsrKyqNtdUlKC66+/Ho888kjQ3z5kyBB88sknmDRpEmbPno2VK1fioosuQmFhITZt2oRXXnkFra2tmDNnDkaOHKnt19zcjA8++MDnWOp7o/7mHTt2YOnSpYbP0plnnhmRV0h9HtV6WYDyLHXu3Fk7j/odUkN7q6qqAr5D+ndF39aKioqIlBDVfbZv3+5TT2jNmjXasS+//PKAfdR1a9asCWi//7n134+5c+diw4YNuOiii5CXl4dly5bhtddeA2MMTz75JK688krDNl566aX4xz/+gVWrVuHkk0/GjTfeiLKyMixfvhxffvklnnjiCVx66aU+7TjxxBNRUVEBh8MBp9OJHTt2oH///pg6dSoGDBgASZKwdu1avP766xBFEbfccovhd+CKK67A6tWr8cILL2gy1I899hjKysp8CknH89yr11NVF1Svv3ot1e+G0fMS6ptBZBiMIAjLc+TIEfbGG2+wG264gY0ePZqVl5czp9PJ7HY769SpExs1ahS766672MaNG8MeS5Zl9vrrr7OzzjqLlZaWMpvNxsrKyth5553Hvvzyy4DtH3zwQQbA8P87d+5kjDE2fvx4w/W9e/c2bMOSJUvYJZdcwnr06MEcDgfLz89nI0eOZH//+99Zc3NzyPZXVVWxW265hfXq1Ys5HA5WVlbGzjnnHPa///2PMcYC2jB58uSAY0iSxB5//HE2dOhQ5nQ6WefOndkFF1zAVq1aZXiMyy67jDHG2NSpU4Nei7lz5wacp7Gxkc2cOZONGDGCFRQUMLvdznr06MEuueQS9sMPP4T8ncEI1Qb9PdHjcrnYs88+y8aNG8eKi4uZw+Fg3bt3ZxdffDH7/vvvDc8T6r4Hu6+R0Lt376DHHT9+fMD2X331Vcjfa3Td9UyYMIEBYN99913EbXzvvffYySefzPLz81lOTg4bMmQIu+eee1hjY6PhdVm7dm3Y3/bggw+GPe/atWvZNddcw/r06cOcTicrKChgJ5xwAnv00UdZY2NjVO3Oy8tjxxxzDHviiSeYx+NhDzzwAAPAKioqQh6jpqaG3XPPPWzYsGEsNzeXORwO1q9fP3bttdey9evXB2y/c+fOsL957ty5Qbf56quvwv4uxkI/j+p5IvkOBTvG1KlTI2oHY+HfQSNCbR/s3Or344QTTmAFBQXM6XSyPn36sGnTpmnPXCgOHz7MbrnlFtazZ0/mcDhYz5492S233MJqamoM36uXXnpJ27empob985//ZL/97W9Zr169mNPpZA6Hg/Xo0YNNnjyZ/fe//w16XkmS2N/+9jdWUVHB7HY769KlC7vgggvYli1bDLeP5bkPdy1DfTfCfTOIzIFjzGTfO0EQBEFYhPPOOw8bN26MW1Ai3bnjjjswa9YsjBgxAsuXL091cwiCIBIO5eQQBEEQGUlNTQ0+++yzoLLRmUJNTQ3Wrl0bcputW7cCAI466qhkNIkgCCLlkJFDEARBpD3Nzc0BCnJvvPEGJEkKmreQKbz//vs4/vjjg9bCaWxsxNdffw1A8WwRBEF0BMjIIQiCINKeL774Av3790d9fT0AwOVy4dlnn8U555yDHj16pLh1iUcURTz00EMByxlj+OMf/4impiaMGjXKp/4UQRBEJkPqagRBEERGIMsyLr30Upx//vlYuHAh9uzZg/nz56e6WQlHlSB/5pln8PPPP+Occ85BeXk5Dhw4gPfeew+rVq1CZWUl5s+fD56nuU2CIDoGJDxAEARBpD0rV67EjTfeiM2bN0MURQwdOhQPP/wwJk6cmOqmJRxRFPHJJ59g4cKFWLFiBfbs2YOWlhbk5+ejsrISF154IW644QZkZ2enuqkEQRBJg4wcgiAIgiAIgiAyCgpXy0BkWcb+/fuRn5+fsErqBEEQBEEQBJFsGGNobGxEt27dQobgkpGTgezfvx89e/ZMdTMIgiAIgiAIIiHs3bs3pLAMGTkZSH5+PgDl5hcUFCT9/LIso6amBqWlpZTkmqHQPc5s6P5mPnSPMx+6x5lNR76/DQ0N6NmzpzbeDQYZORmIGqJWUFCQMiOnra0NBQUFHe7F6yjQPc5s6P5mPnSPMx+6x5kN3V+ETcnomFeFIAiCIAiCIIiMhYwcgiAIgiAIgiAyCjJyCIIgCIIgCILIKMjIIQiCIAiCIAgioyAjhyAIgiAIgiCIjIKMHIIgCIIgCIIgMoq0MnKWLl2KQYMGgeM47Nq1K9XNIQiCIAiCIAjCgqSFkdPa2oo777wTJ598MrZs2RLxfsuWLcP555+P0tJSZGdno7KyEo888ghcLlfI/Q4cOIAbb7wRvXr1gtPpRK9evXDjjTdi//79IfdzuVyYMWMGKisrkZ2djdLSUpx//vlYtmxZ2La++eabGDt2rFbbZsyYMXjjjTci/q0EQRAEQRAEQShY3sjZvn07jj32WLz//vv47LPPIt7vzTffxJgxY1BVVYUFCxZg3bp1mDZtGqZPn45x48ahqanJcL8NGzZg2LBh+PDDDzFr1ixs2rQJs2bNwsKFC3H00Udjw4YNhvs1NTVh3LhxeOihhzBt2jSsW7cOCxYsQFVVFcaMGYM333wzaFtvuukmXHbZZRg4cCCWLl2KpUuXYuDAgbj88stx0003RfybCYIgCIIgCIIAwCzOhx9+yP7whz+wxsZGxhhjABgAtnPnzqD7bNu2jTmdTlZWVsZqa2t91s2YMYMBYNdee23Afh6Phw0ePJgBYEuWLPFZ9/333zMAbMiQIczj8QTse8011zAAbMaMGT7La2trWVlZGXM6nWz79u0B+82bN48BYGeddVbAujPPPJMBYK+//nrQ32pEfX09A8Dq6+uj2s8sJEliBw4cYJIkpeT8ROKhe5zZ0P3NfOgeZz50jzObjnx/Ix3nWt6Tc8455+D5559HXl5exPs8+uijcLlcuPrqq1FUVOSz7uabb4bT6cQrr7yCPXv2+Kx76623sGnTJowaNQonnXSSz7oxY8Zg9OjR2LhxI9555x2fdbt378bcuXPhdDpx8803+6wrKirCtGnT4HK5MHPmzIC2PvTQQwCA22+/PWDdnXfe6bMNQRAEQRAEQRDhsbyRIwhCVNtLkoQFCxYAAE4//fSA9YWFhRgxYgRkWcb8+fN91r333ntB9wOAM844AwACjJz3338fsixj+PDhKCwsDLrf+++/D0mStOU///wztm/fDpvNhvHjxwfsd/LJJ8Nut2Pbtm34+eefg/5mgiAIgiAIgiDasbyREy1btmxBXV0dAGDw4MGG26jLV6xY4bNcFQhI1H61tbXYtm1bwH69evVCdnZ2wH7Z2dno3bu34TkJgiAIgiAIgjDGluoGmM327du1f3fp0sVwm65duwZs29TUhOrq6oj2O3jwIFpaWpCTk+NznGD76Zdv374dgwYNimg/9Zzbtm3zaas/LpfLRzGuoaEBACDLMmRZDrpfopBlGYyxlJw7Eupb3Ghzi6luRlLgeQ65TjtynDY0tLjhsPHIcsT/2sdzjz2SDEmS4bAL4Dku6HYujwSHjYdHksFxHBhj4DkONsG8uRmXR4LTHp23uCMQ6f093NgGUTLYxuC+Gt3pELffb1+D4wXZ13Cx2e2J4HgCzyE3yx7ZAQ1odYtoavNo768ZyIxBlGQ4bEJKvtN1zS4IPA+XR0LngqyA9W5RgsNG72MoGlrccIsyHDYeBTmOoNvVNLRCFGUcbmiDZGsGz7c/odkOW8h9Q+GRZMgyAwBLfzv133b9cw8AjDG0eSRkm9AXAql7bv3fYVGSwXGAwGec/yKASL9bGWfkqAN8QRBgtxt3MKpxUl9fH7AfAEOvin4/dV/1b3XfYPsJggCn0wmXy2V4zmD7BWurPzNnzsT06dMDltfU1KCtrS3ofolClmXU19crg1ILvmwzPtqM3p2CX/NMYsnWI2hxS5gxeSjmfLsLRTl2/PGMCp8OLxbiucd/+88mbKtqxv9NGIBhPQqCbjf1pZW4+fR+eGfZr+ic78CmA00YN7ATrh3fJ662q7S6Jdz42iq8dt1wU46XSURyfxlj+Mu763F0zwK/5QbbRnheo32V/SM7qNHuhoc03Nfcc+w51IKrxvVGRVmuUQvC8u8le7Ctqgm7D7fi1WuPNzSsomXx+mp8v/UwHjp/SEq+01NfWqn9+8WrjkWW3yB56ksr6X0Mw6MfbUa34izsqGnBTaf2RZeiQGOxqU3Eox9vxpCu+XC5XXA6qn0M+H21bfjLOQNjOv9na6rw9rJf0bMkG49MHhrrz0g4+mfpuy2H8PnaaszwtvdgXRvunr8ec6+N/1nbfbgFDyzYmJLn1v8dfnrRdnQrzsKUEd2T3pZk09jYGNF2GWfkdETuvvtu3HHHHdrfDQ0N6NmzJ0pLS1FQEHwQmShkWZl5Ly0ttaSRU5y/F3ec3zE60qubXFixvQarDzTjknEDseHXOry5ogoTj++Fwd2LYj5uPPe4f9cqbKtqRmFhIcrKSkNua8/KwaEmNxx25VPVLHIoKyuLud16mts8AGDa8TKJSO6vR5LRv1sR7jj/+CS3Lj3Yc6gJcxZvQqu7CpedPACDuxVG5UWV+QM489jemPO/TcgpKEZ+dmwz73rs25tQ03gAZWVlKflOl+Q5caRJiTrIKyxBSZ4zYBt6H0NTlL8Xf540HO/9sAN8dh7KykoCtnEdasKJg7ri6lMHoqamJuAeP/Tuypivc0FBMwBg75FWy98rtX38rmbUNLq1v9v4JsjMnGetxlXrc65k4v8ON7q3QYTd8vfFDLKyAo17IzLOyFEH9ZIkwePxGHpzWlpaAMBHJEBvDLS2thoeW90v2L7B9pMkSQsni2a/YG31x+l0wukM7Cx4nk+ZkcFxXErPHwoOsGS7EkGngmycfVwv7e9xQ7vh63X7MferzThxYDn6lRcAnBIOxHHekBtOCQ5SZ/4GdC00dMXHeo89EsN5I/pEtq/aCPU/3nOaAqccp6M8C9ES7v4yUYZdEOj6BaFPWQEeuXQk1u89gq/W7cf2gw2YclJFxPs3tXlQmKsYNo8tXA2HLkzTbhNwy4RKFOUGfvdDkWUX4BZl7Z4l+ztdkO3AkSYXinIdPu3QQ89TaNT+Kz/bgRaXZHi9fj3SgsJcJ3ieN7zH8fSBLa528SSr36v251wJkdxZ3YiKLoXwRtuZ035vH2WFsZbi0TGxj7Qwkf7GjDNyKiraO5GDBw+iZ8+eAdscOHAgYNu8vDyUlZWhuroaBw8eNDy2ul+XLl18QtcqKiqwcuXKoPvpl+vPqf472H7B2koQscJzHE4b1h3jhnbF57/swY6qBqXwFNOF6zBoy3ZVNyDbacNvh/dWDCITcIsyygqzce+by/Hf+88Jue2nKxWZd6OcjHiRg8VGEREhygxCnGGPHYHKniUoK8zGm99tC7+xDo8oa8/9zMtG+axb8OMOLN9WjbOOCezfQmG3KUZOqsjLViYdC7IdaHVLYbYmQpGXZce6PUdgE3jwHIfOBVnaV/Kn7TU485geCTlvdX3wSVmr09iqeO8N8whjRM1PsgKMgb7JfmSckTNw4EAUFhaivr4emzZtMjRyNm3aBAAYMWKEz/KRI0fi448/1tZHs9+7774bdr+ioiL079/fZz8A2LNnD1pbWwNyc1pbW7F7927DcxKxIckMjd4wpY6MXeBx7gl9wm5X1+zCpz/vwT8/XYf7LjwenfIjcxEHo6HV7RUSiGz7LQeUXDR1czM/35I3cXHf4WZ07xRb3kRHRpRk6lAjpFN+FjbsrYVHkmGPUDgjyy4Y5wkBGDe0Kx5+b2XURk62I7WJ4nleAYXepXlo83QM8ZdEMaxXCeqaXdh/pBmtbhErd7T3a4U5DvTvkphQdf3kUJtbNEXIJlmIXoPEY6KRw5I8Wfbpz3sw8fhehusYIhdP6ShknE9LEARMmjQJAPC///0vYH19fT1WrFgBnucxefJkn3VTpkwJuh8ALF682Gc7lcmTJ4PneaxcudJQIEDdb9KkST51f4YPH45+/fpBFEV88803Aft9++238Hg8qKiowPHHU9y7GbR5RJTkxTdQ70gU5Tpx6bgBuGBUX7z29ea4jzfliS8AxiBFO/uVgA+3Ks4y7fmvzT94B0CSmalKd5kMz3E4tm8nrNtzJOJ9GIAenfJwlsGMfGlBNvKy7FEPsNRZZ3VGO+l4R2AFOQ64PNZU30wXivOc+N2IPvjdiD64aEx/XHfGEO3/V506KGFqXy0uxTgtL8y27IThkSZFcGnBsp0+y1tdIqrrWyFKynuwo6ohYN9oSbYj5+lP1gZdJ8sspGJpRyQje6h77rkHDocDc+fODTA6nnvuObhcLlx11VVaDRqVSy65BAMHDsSyZcuwdOlSn3VLly7Fjz/+iEGDBuGSSy7xWdenTx9MnToVLpcLzz//vM+6uro6vPLKK3A4HLjnnnsC2vrggw8CAGbNmhWw7qmnnvLZhogft0dGrklyrB2Jk4d2xeFGF/7+wS/Ye6gprmOpcp7RoH62RRPlbiWLSpynC+TJiY7zRvTBM5+ujSrcZ2iPYtz5u2MM1xXnOrFyx6Go2iDKDP3KC7DvSHNU+5mG1ygrzHbA5aFwtWgx02sQ67Hqmt0AFBGJ5jbreONqm9rLaGzaVwcAeHHRBp9tWtwirnjmS4iSjKN6lWD7wfiNnGR7ckIhM2aKCmMmkRZGTk1NDQ4ePOiTu2K0TKV///6YM2cODh06hAkTJmDJkiXYsWMHnnzySTz44IMYPnw4/vGPfwTsZ7fb8f7776OkpASTJ0/GggULsGvXLixYsACTJ09GSUkJ5s+fD5stcJD89NNPY/jw4XjggQfw5JNPYseOHViyZAkmTJiAQ4cOYc6cOYZ5NVdeeSWuv/56LFq0CNOmTcP69euxfv16TJs2DYsWLcL111+PK664Ir4LSGi4RQl2W1o89pbjb5eMwGnDumPJpuA5ZJHglmRtJi1S1A+3x8R8AguFUqclInlyoqJbSS6uHD8QL/9vE5ZuPoj1e49g46+1MU8anDiwXJuxjhRRktGrcx72p8DIkWSmSdcrnhxfI4dy5MIjygyCCe+cwy5g8/66mPbN9+ZVFec5U/IcBePiWYu1fwfzZqhGjUeS0b9LAb7deCDu81rpuWWMUbiaH2kxpT1ixAgtN0VFzWcBjC3pK664AgMGDMDMmTNx3nnnoampCX379sX999+PP//5z0Hl54466iisWbMG06dPx2233Ybq6mqUlZXh3HPPxYMPPoju3Y31x/Pz8/H999/j8ccfx5w5c3DvvfciNzcXY8aMwffff48TTzwx6O978cUXMW7cODz//PMYPXo0AGDYsGGYN28eLr/88rDXh4gctYgaET08x6F3aT6Wba2O6zj1ze6ovCj6b7aZsdTkyYkPSZJhI09OVIyv7IbSgmxs3l+HvYeaIMkM2w82oNUt4oyje+C0Ye39S7Mr9Cx5Sb4TSzbVRnV+UWao7FmMz37Zg1Mqu8b0G2JF1OUjFec5A4wcM5PBMxWz3rmLTqrAC4s2YFC3QlwydoBmuISj1S2itlnxmBzXtzP+89NunDQ4eDFzq1BVp6jU7qxWjBxRklHRpQB7D8dvpFnLyAlu4HVU0sLI2bVrV0z7jR49Gh9++GHU+3Xv3h2zZ8+Oer+srCzcf//9uP/++6Pe9/LLLyeDJgnsrG6Ekypqx0x+tj1uF//O6kb84+qTsGZ3ZPkJeve7f/HAeLCSKk46Qupq0cNzHI7qVYKjevnWNtlzqAn/XbVXM3IkmaEgzMCzX3kBnvlkHXBm5Od//vP1ePSykchy2LDh11p0jr/0TsR4JBk2gYdd4JFlF7Bhr6+BJunyhX7YcjBqUYWOgFne0/5dC3HX747BB8t34kBtM/KziyLab8v+ehzTuxO27K9HRZcCrNxeE3dbEoF/zufC5bsAADlekQRRYrDxPOwmfL8SbeP85m+fhFUhVZEYS0T6alpDU9pEh4IxRkpacZDtsJniDs9y2MLOHlZ4JattAqd1Wn3K8uM/uRd9R2iluOp0gYQHzKMo14E67wz5nMUbsWlfLZxhDPpshw1lRdkhtzHC5ZYw4bie2FMTX25dtIiSDLuNx8f3TEC/8gLt97avV97BPYca8eR/1iS1bemCKMmwCeYMY7sU56CsMDsqKe/aZhf66r/BFvEafL1+v8/fQZvlXSHKilfRjK++lTw5B2pbKBzfD7oaRIdCZqQ+Ei95WZGFNkRCMONCkhkKcpRpZpvAa8naUauyhUDfOX3gp8JDhIeEB8wjP8uO2iYXmts8eO+HHdh2oD6skQMADoGHW4wugb/VLSLXaUeLO7lJ43r57Pxse0CC9K6aRgAgwzkEosQgmFjoMdthQ2sUz8HumkYU52WhT2k+CnOS6AYMwz6/sLNNv9YZb+j95je0eiCYZCwmMyIgEoPK1gEKgUYDXQ2iQyHrkl+J2DDr6rlFGftrWwzXNbs80G4Ta8/FMdPI0R/rxS82mnbcjgIJD5gHx3E4oX8Z7n1rOQDgu40HEck0c2GuA/Ut7ojP0ynfidGDypHjtGlSwMnCI8ra82IT+ID8Osn79wv/XZ/UdqUTomyeJwdQ6iapRo7MGBb8uCPk9vuPtKBHp1y8eOPJ6NEpz7R2xIv/ZNk7S7cbbqc+cS8u2mCajLqZfVK4Y0dyLvom+0JXg+hQyAwQyJMTN2aEd43sXxpUnefR93/R5HH1tytRnhx6IqKHhAfMZdKovph+0QgMryhF1+IcdCnOCbtPYbYDK7ZFnhcxoEshcp125DhtYYUNzEYvPGDjOc2oUcn1eog3BpuFJyB5c0nMQvHkKJ7AxlYPXvxiIzbvr8ODb6/Qttl+sB7r9x4BYwyb9tWiJM9p2vnNQt8r/OZvnwTdzl/cYsv+emw9EFjbMBoSa+T4TQREcC7yrvtCRg7RoZAZeXLixW4LnIWNhdwse9Dj6Gse6MNazAgNECUZ+440+3QY9ExEj2SSnC3RTmGOA78/sR/qml3IdoQPVztxUDmONLnCbudPbio8Obp8EqNaHokcLGYKomxuiGi2o/05OFCrTDgdrG3Bj14FTcYYHv9wNf61aAP2HGrC4O7FlvQUqBNWoSbfbvrNUPyqC2uTGUNtswvzfwjtvQpHcj05wftd9bdbKUfICljvaSWIBCKTjnzcOGwC3DHWqxleUYqB3QoBAHaBhztI1XO31J5noPbpF51UYUqHsmrXYUx77mufcAXySESPKJMnJxFkOQRs3h9ZTk5elh1NMVSdz82yxz2DHS0eiWmeHCP8B3CHG6OrAdQRECVzQ0SzHQLavOFqu71CFPoxshKeloeSXCc27avDGKvKRXvbbNQ9rNujqHj2Ks33KcTLmCKD3a0kvMc0FIksReBfT06Sghtzat9IIjq+kJFDdChkmYQH4sUmcAHyr5Fi5zn885qxyr9DeIT0H3d11vfisf1N6VDUkIVm3eDQirOTVkcyecBFKDhsAupb3HB7wgsK5Gc70NgaeU6Oil3gUVpgXCsuUbS4ROQ4g1et8J/AOERGTgCSyRML2Q6bJkCxu6YRnfOzfCaYvtmwHydUdEZeth3r9x5B5yQ/M5Giei+M+oc7X/sBQGBIcnlRNi48sR+Kcp1gjIUMcwuFmMAxRbBwNSMzRpIZygqzySPqB/VQRIdCZlTbI14uGzcAr329BWv2xjcTbON5iEGMFn3stNp/OGy8KR9wSWbIcdjQ4pYwbohSEJG6heihOjmJQTUcpQgeytwsG37cUhXT7C3HcUkNbWlq8yDXGVyZ0X/W2syaWJmCaHKIaH62HXsONWHul5uw7WAD+nUpgEvnXV+6uQrH9yvFwK6F+O+qXzGga6Fp5zYT9TEOFUatzyUa3q8zhvcrhcAr5Qk+XLELQGxeGUVKP1FGjrHwgFHYtijLcAi8oTerI0NGDtGhIE9O/JQX5eD+KcfjzR/2Yl8Q4QAjGGM+KgI2gQta5Vyv9a/eL4HnTMnJkWSGHKcinaoN0qljiBpRkkmuNAE4vIPYId2Lwm7LcxxOqChDWwReH8aYz2PutAvwxBh2GgtNbZ6QtbHUAaaai0RRN4GYWScHAIpynahtcuHnHYfw8EUnoDDboYWvbfi1FgU5DpQVZuN3I/rgojEVIcMNU4lqrOufZ/9+vldpe30fybu92qe88N8NABBTGLaUQCl9//5RfUeMJickicFu46nItR/WfGIJIkHIjJLMzaBLUQ6uP7Uv/jb/ZyyIsMaM5Dfzbxd4eIJMVw/vV4q5N5/is4zjOHOKt8lMk05V21PZq9iEI3cs/O8nYQ6qJ2dIj8ieySyHgLYICjr6e7Gz7QJcSTRyWlwiskKIKUgyw5QT+6EkLwuFOQ5KoDZADJPXFAuVPUvw+zEVyPLWzJnzv00AgDW7DuPc4b0BKN/eaacNNvW8ZiJ6B/Z6I8XIoH72WiVUetXOwwAUQ0iSGY7qVYIzj+kRm5Ejm1u7yP/YRn8b2TGSrBg5lJPjS/AAWYLIQEh4wDz6lebin9eMwa0vL8F5I/qEHfCKMvOJJ7cJfFBPjiTLyHHaUJLnBM9xGNKjyLR2S7KMbKcinaoavFl2+hRGiyjLEAS6bmbjsEc3YMqyKwZ7MUJL+7o8Mhy2diMjyyGgLYjwRyLwSL7n9x+KSTJDll2AyyPBLtCMtBFKAV5zB9Q3nV3pc/xxQ7rgrvOOjUj4wiqo/cjfF64KuZ1/uJ3Ac2hzi8hz2pRJtxiMnESG7Yp+74AYJlzNLvCal4pQIE8O0aGQZUZ1ckzELvAY0LUQza7wCk+SJPskqgczchhj+O+qX2ETeLx1+xmw23gM69UJgDn1bCTmDVdzidqzkEiFnExFNLlmB6FQkO3Ah389O+Lt9bVOQuEWJTh1BlSW3RZRmJtZ1Le4fbwQrW7Rx1sjSjKcdgFtHkkJu6HBWgDKQDZx/dcNZw3FtacPidzAscg9UnNxVCW1SBF4Dm9+vw0ylJxPtxj9+5DInBx/Y0bWPDnG4WoOm0CTA35QD0V0KKhOjvkU5DjQ2BLeyPGf8bILnGGiqOqSVw2iA7Ut2LQvNjU3I1ThgaY2D/Ky7bCZlOvT0ZBkGUICB1wdmWiS7rMdAto84WveuDySjyclx5k8T45HkvHBsp1w6HLtCrIdPjLWkszg1HtyLDKAthKilLjQKADoVpIbURFaDYtMGOYaqPbpm3bXeccY7qfm7RzVs9gbPh1rTk5i7klUOTlquFpCWpK+kJFDdCgkEh4wncJsB75avz/sdqJfgqbiyTFyu3uNHN22B+taA7aLFUlmkBnw/aaDGNClEP+5O/JZc6Id8uRYgyy7gA2/1mL93iPYsr8O+w4bi4G4PJKP8ZSXZUdLBB4gM1AHa3pPTmWvEp+CpJLMkOUQvGFt5igpZhqiJFs2+T+VGHmenrt2nPbvfuUFhvupOWICz8dc/y2RuYmvfLU54FwADHPw1HA1mrDzhd4WokOhCHyRkWMmZxzdA0eawte0UNz64cPV1NkqfcdhZh8iyQzjh3aFwHPe/9NnMBYk2VylJyI2RvQvg8BxWLfnCJZvrcZzn6/DG99uDdjOJfrmxORm2XG4KfoaO7GgzpDrVROzHQJafYwcGU5v++wkhWuIaLF3joOxVyHZSAaTZfqaPsHqefXolAeg/bmMpbCuKCdOXW3l9hq/cym/84pnvsTvHvvcp2CuKDE4KMwzAMoaJToUVCfHfHKzbGhuCx8u4+/JCRYeoHZYHOfr9TEL1a0vyRS6GA+JDp0hIqNbSS4mje6n/b3vSDM+/ml3wHb+OTmd87OwdkdyjBx1MkNvZGV71by0bbzhagBICjcIosUK8KplAPT3NRX411v75zVjfP4O5/3qV16A7QfrYzIQJDl5Hm29d9PlkbBiWw2O764IjshMUd4jD6gv1nlbCCIJKHVyUt2KzCLLLuDXw01hP65igCfHuE6Of4d1/sjwym3RIMmylhtABm/siCZXXyfMwS4YJ1C7PLJPWE/nfGdMidaxoIal6gebakFeFUlul0e22wSakTZA9BNvSTUCb41BtX8bcrN85aNDeb+enjYGg7oVKr8lkgq8BudOdD+ilmnwF8jRB6WIkkwS0gaQJ4foUEiMcnLMhuM4dM7PwoHaZs39b4Ts1xkEzckxWGbmPZNlps08qsf9cWs1qupaUF4URdJtB0ey2KwyoaCoRAVOHrhFKdCTkkThAcAvXM3p68nRF1Wk3AJjlAK81um/bF7xmOwUt8N/sqwo1wEAcNp4uETfPKYXbzgZ+2vb89YGe4vu2gUuYIIt0nMnWoClul7JSfU35vSRCKK3X3MlUTExHaAeiuhQyBSilBAquhQGlbF9Z8l2iJLs7aDbPzlBw9VkhvNH9tH+vnL8QMy4dKRpbdXPGOuNrrqW5ITuZAqJjEUnYidYArXHb7CX7bRFVETUDNRBqH6Anm0X8LK38CTgnRH3to9yC4zx94anGluM3g+z0deTObZPJ+Q6FU/Of+6eAMA33LlPWT5OGtQl4BjBJt3CkUhPzkVjKgBA887Ism8xWP3kn0TCA4ZY520hiCTAQMIDiSDbKaDNHZiX0+IS8cqXm7DvSLO3g/b15BjtI/kNnnOz7OiUnxWwXayoOTmA70wYPRXR4S8kQVgDVYbZH483nEXFLvABxQYThVpkUf/t9Tdi9BLzlFtgjBKuZp0vlRCj98NsJKk9DP3vV4wOWB+JIp1SDDS2OjmJyk30N55EiflMDPoYORIj6XUDqIciOhRUDDQx5DrtaHYFGiwX/L//AgAe+2AVDjW0+oar8RwON7kC9kl0Qrs+UdRXwY2ei2hIRiw6ET0CzxnG5XskGQ6/wV6zS0xKDP+vBrLW/bsWokIn7au8l14jhzw5hlhNtl3guZi8H2bjkWRcd8aQoOsjmYyx22Ksk6N7bs1GNfS5IEWrfXJyvLmm9N74Yp23hSCSABUDTQw5DhuaQ8hvnnl0d6zefdjHeOE4Dp3ynNhZ1YCG1vZQMSnBCe363CCfmTDqHKLCarPKRGjcoq8nBwBKch2obU58mObMD34JWMZzHEp1Mr/6nBwHqasZYjXhgaN7d8K7S7enuhn4ev1+/PaE3obrrjl9cESTMYpgR6w5OYm5J+o7oLY+ICfHJ1yNkSqhAdZ5WwgiCUikrpYQ+pTl4/NVe32WqTNKn947EWWF2Whq9QQMin97Qm98+sse/PvrLdoyURebnwgknYy4vvMzUnojgiMmUTqViI4ft1YHLPOIUkDYTlGO3acgZyIZOzgwD0KPPuyH6uQYY7U6OWMHd8HmfXWpbgaA4N6a359UEdH+8XhyEuXRVo0atS/1N3L0nhxJq5OTkKakLdRDER0KRp6chNCnLB9ZDl+xxuY2EacP6w6B55DtsKGpzRMQhjaifxmuOHmgTwJ0ohWE9J2S+izccOaQmDq4joyUBFUhwjz8c3IAINcZ2gNrJuE8EHohC0qgNsZq4Wocx/kU3UwVoweUgec4XDq2f8zHUHJyou8DGGMJG0ir+U5qkEEoT46oCg9QRIIP1nlbCCIJyIxyLxKF/1VtbHWjIEeR8sxyCGhsC/TkAN5EadG3XkYiB88fLNupGTRqeEKsyjodlbpmF5raPJYacBHtnDiwPGBA5BEDizbmZQnYd6TZEgMjvZCFg+rkGKJ4cqz5zq3adQhP/mc1Xvjv+pTdu6mnDop532CqhKkk0JMj+yiP+m9LkwOBWPNtIYgEoRQDJSMnGTS0epDvLcqW7bChsdV4UOyw8XB7/IycBA+e1UTOLG9xRMXIsVYHZ2Ue/3A1+pYXBHgGCGuQ7QhUO3RLckC4WmW3Any38SC+Wb8/mc0zRO9hJeEBY1weyVLhanrW76nFKUd1Q5tbwsZfa1PdnKhxRBCu1tiaHK+nimrk6P+rL+irf0ckb50cem98oR6K6FBIFK6WMESZoVanlnakqQ352e1GjhKuFnjt/SW93aKU0HC1Ef1L0auzUrRUTXxWi9oRkSHwHKadNpgmDCxKlsMWULfKY2DkdCnKwjWnD8I36w8ktD1Ou4DfjQhMDNcPx/RGjo3CbgxpavVYcmKBMQa3KKEk14lRA8uwq7ox1U2KGsWTE1pC+sInFiWpNQr+3lhJZtrEHACf/BvRG45KnhxfrPe2EEQCIU9O4hg9oAwrd9Rof2870KDVt8l2CEoHHUGoxQNv/4RVuw4br+S4uAc/eglx1WNklaJ2BGEGOU4bWvw8OR4DdTUA6NEpL0Ca1myO69MJlT1LApYv21qNHzZXAfCqVPHtHlYarAUiCHxAyGGqsfEcJJnBLSnhkDkOm2GdJqvjtPNos1i71XfA4X1vAzw5sq8nhyT9AyEjh+hQKMIDqW5FZjKwWyHW720PU5AZQ9fiHACKJyeaat1NQZKhBZ4zdfCjT3QmTw6RKWQ7bGj1N3JCSH6nskDyj1sUI0efk+MklShDrDiQddiVXBbViFZyLNPvW5pl9zXO1uw+jE37wofdJfIxFSUZD/3+BJQWZAMIHa4WTf/akaArQnQoSHggcVR0KcSOqgYs3XQQgBJ2ps5Aqf+NJJ48P9uOSaP6Gq4TvLOGZsHrwmOsULmbIMwgxyGg1WXgyRGMvQAcZ+57FQ0M7fkGmifHYUtZeywNs14kgsPGwy1K2vfeYRPS1JMjYNXO9giCN7/bhvk/7NT+3nOoKeltkmSGbIfgIzzgtAXLyUmsKmm6QkYO0aGQKFwtYdgFHn+94Dis3q10FG6dmpM6Uxw0XE13Typ7lmDUgDLDzcw2ctRBVUOrG//4eK1pxyWIVJJtFK5mICGtkuMQsKOqIRlNC6BdHlcJV7vvwuPhsPFglJOTFqiqZOr3PstPLTNdEHgOtc3tOaU87xsafdPs7wz34wCs2XMkwHNqBmqBT73wQJYjSLiaRPnGRpCRQ3QoZBIeSCid8p1a0mlVXYvmwVEJVuRT1ntRGAsaPpMoI8dq0qEEEQ/ZDptP7SlA9eQYv3/H9yvFgdqWxDUoxMSS+j6LkqKqOG5I14ABJmFd7JonR1Y8OXY+LT05AHwn17xiCqrxEmrY0OISsWFv+NC2aGFMeSdkvZETTHiAwtUMoStCdChIeCCxOGwCeJ7DkaY2SDJDUa5TW5efbQ+aTyPJDPsONyt/hLg/ipETvUHS4hKxatehgOX0LBCZiCjJWL/3iM8yZcBk/LznOm1ocSVXHldFNXL07RM4c3PviMThEHi4RVkpDsxzcNoFuD3pP2nEAKzYVoO/f7Aqou0TZWAIOoPfPyeHUbhaWMjIIToUjLGQMzJE/FT2LMHqXYcDPvr/vvU0HNUrUGEJAIb0KEaLW8SRpjYtEdkIgeej9uQs3XQQWw/U4y/zlmFPjbG0ab/y/KiOSRBWpltJLjp7k5UjIcdpQ4vL/HAbjRBeGaNJC57nIJEnJy1w2tuLaHIcB6dNsJxKWSyoj1+z1/gP1+3ojQ8z4XUGvyjJ2nmmnTY4IFwt0fXl0hG6IkSHI5VKQh2Bc0/oja/W7Q8orpnjtAWdSXbalWTVFdtqDNerxBKuNv29lXDalU/dEV3MtZ7KniUYHSQPiCDSDadN8CmwC4RWgUq4kRMCI4+NMrBLQWOIqLHbeHh0OTgOv7/TnZqGNgAImSN2xfiBCZs81fd5EmOa8ED/LgV+4Wqy5ZT3rAAZOQRBmEphjgMH61pwuNHYoDBCNXKe+mhNyO2iNXLUjkntn2hy2ByoK7U2WXYBX67b57Ms1D3LcdrQnIDE6XDcfHYl+nctDFhOOTnpg8MmYOuBeu1vjuMSKqucLFTVPzVXLVS3Y3auqB6ea1dRk73hai9cPw6cX804iXJyDKErQhCE6QzuXhS01o0RWfbIZEejzcnxHyjJjIXM+SEiIxMGMZlMUa4DB+tafZYl25NTXd8a1lAZ2C3QwAEUTw6pq6UH/bsUwCMxn+frSJMLP+8IzIFMBAl7TnSHlWQ55Hl4E4pUBz22LnRTlVnvV14AnveXkLZeDSUrQEYOQRCmM25IV4weGHn4l9MmoDmCQVa0OTn+28ohOgIaUhGZQm6WParwyxyn3XQj54pnvsSW/fUhtwn2PvOccRgbYT1sAh8QmnzHuUdj4fKdQfYwF0lmQVU7o0XfM+ifPklmIfuHRHpy/NXVfMQ59MVAJQpXM4KMHIIgTGdE/zLcOnFYxNs77DxqGlrDbhdtZ6Juqu5Bs13mQFfQ+vy4tRq/+dsn2t+h7pnTxuNgAiSkw81uB3ufeY6EB9IFG89BlGWf56tfeUHSzi8m6JvO/LwkoeATZOQwKAa/pBMeUH8r56dASOFqxtAVIQgi5fQrL8DiNfvCbhe1kSMzn/9+sHwnvttwwHBbGrhHDg0/MwuO41Cc5zQ99Cfc8Ww8F+AFUNvz5nfbTG0LkRgUT07gffZIMjb+an7tGH8kKTHSyfp+xuj36RH4xEiec/DNT9MbMsry9m2r61tpAs8AMnIIgkg5XYpytJyc/l2CzwIKQQZFwdASNr3/XbXzsDZAv/N3R/tsSwP3yKBcifRCzWELd9eyHTbTpX8ZUwZmwYv7GoerxVILi0gNNl4pBrpq12Gf5WMGd0FDqzvh5zczXE2PR9fPBHse1RzPxAoPcIbhav55a6t2HaY6OQaQkUMQhCVQa+j8bkSfoNvYhNhycoz2OeuYntE1kACghADSjGH60OaWIjJM87PtaGw1tyAoY0wpUigEMXIE48GhSyQjJ13IzbKhrtmNyp7FPssVKenE38dESSdLOu/NRU8tNj6314uUSOEBgefwg7d2nEeUYPcadDJj+PyXvb7bCjxN1vlBRg5BEJagb1n4gpxq/Hek+IerhYKG7ZEhUT2GtOD+C48HoMxIizLTBkfByM+y40hT5LLvkcCghPoEK1Jo43l8uGJXgKHjsNHQxAgrDmALchw40tSGolynz/Ichw0tSZAlFyVmngdD5x3x+EUMdCkKLK6rCtkk1JPDc6hrVjxiek9OQ4sb1d4aPioCz1E/5gd9SQiCsAT2CAY2rW4pqgRp/3C1UPy4tTop4RXpjtLRUtdhdVTPqFuU4fZIYQ2HQd2L8NO26pjPJ0qBMruSzCBKctB3Wx2wtfoNhgd1K8JIKs6bFvAcB48kBxjRBTkOrNyeeBlp2cSEe6UmjfJvt19B04N1rRg9oMznGRe95+a5xOTkAIqKmh419DOYYAfhC/VUBEFYgpH9lUFNqNCaN7/bilkfr434mKHC1YzQF7UjjCGFuvSgKNeJSaP6wiPKcIsyHN5K6cHo2TkPTXHISJ/32OcBYT2iJBsOgFUEbxibofhAzC0hko1HDAxJHNKjGFV15iv2+SPKMniTvkf6sLPepYGRBf6FTqUkeXKM6F6Sm5DzZRpk5BAEYQl6ds4Lu81vjuuJAQYV0oOhdlixxIZTgr0xVI8hfbALPDySDLcowWEP3d3nOGxojcPIEWWG+hZfT6gnnJHDq0ZO4LtGT1j6IEqB3hS7wKMgx5Gcc5vkWdbLMjvtgZMC/vWb1G+hXgHNbIJ9a/uU5WOU19uZqHNnAmTkEARhKUJNiJ07vDdOqCiN/Fjeg+lVo347vFfQ7fUdytmPfBrxeToS5MlJHxw21cgJ78nJdgim51CIEjOc5VdRB6f++Q9EIJLMLBuOFMyQlRlL+L0VpeDPV7QIfHtOjmE4GB9YgNMm8AlXV9MIcv8Tde5MgIwcgiAsQ+/SPORn24Out9siKxqqonZI+vjqc4b3Drq9mmtCM2PBoaJz6YPdpsj7ukUJjjD3zGkXsKu6MSAXIR4ON7YpOTlhPDkvLtoQsO5AXQvqms0VQkhnrCz4Ecy726tzHr5Y/Wtizx2BqEak8By0IrSSn3E2ekCZ4unRdQ3K5IFi5JjdZ6jGlhquttpPoluPf1uJdqinIgjCMvzrhpMxdnCXoOsdNiGioqEqqifH5WmX3gw1UFDX0MxYcMiTkz7YbYKWkxNO2IPjOBzTpxNq/BSbAODTn/fEdP5/LdoQUbiaKpGrZ3dNE976ngqCqlh5coEBaGoLlB8/oaLMVKPZCNWbYgYcxyGUreJf9NMjKR5SnjPfkyMzBt4rTw0AT360Gj8avCeA8mycPqy7qefPFKz5xhAE0SHhOS5o4UAgeg+L2u+0eSR0Lc4BENzIuWL8wKiFCjoikomJvkRiUXNyXB7JMMfAn6JcJ5oNBqtPfxK52Ic/nhDqaqHedYDeQz1Wnlyo7FmMw42BXjfFk5iEcDWzhAd0RsyPW6vx0o0na+sEg3o4blEx4JVwNXN/p7/0uitEoV7Rws9GqiEjhyCItKG0IAsFIcLZ/JF0npwrxw8EgKDyx3lZNp2RQ+7/YEiyeYm+RGJxeAeZn/68JyKJ2/wsGxoNjJx48ISZaVeHZomoWp9JWFnw48azhuK6M4cELE9GQdBwz1c0/HqoCa9/u1X7Ozerva8RBB68X+6NKo/O8xxa3eZ6rES/Irouj4TxQ7sabutjAOtq/RBk5BAEkUYIPI+hPYrDb+hFnXVzie0DhGADBf1sHM0gB0eZYbTmYIvwxS4og8xvNhyISOkqN8uO5jZzxQc8YvBwNaC9PpbRM0W5ce1Y2ZNTlOs0lDTOdtiw70gzNu2rw8EEyUmbGca3cV8dPlyxy7C+mo3nIPjVwxG9eVIb9tbi5f9tMqUNKpKfalybWwr6OyW53dDT1/ohyMghCCKDURWJXB5JC7EKNlDgOQ7LvcUQE1XYLROQmXUHW4Qvdq+62lnH9NDkZkORn23H/iPNPst21zTG1YZmlxhyEKoaQEYhRzTZ0I6Vc3KC0b0kBxVdCvDzjho88+m6hJzDY6K6mkp9syKFru8HBIHH56v24qmP12jLFK82FzKULFZEWdbqSAFK3lOw7+4tc5Zo6zgucXLW6Uh6vTFRsmvXLtx+++04+uijUVxcjKysLPTv3x833ngjdu7cGXS/zZs34/LLL0fXrl2RlZWFiooK3HXXXaivD10osL6+Hn/+85/Rv39/ZGVloWvXrrj88suxefPmkPvJsoznnnsOw4cPR25uLkpKSnDmmWfi888/j+l3EwShIDMGp52HyyNF5Mn5z4rdAGhwFQorqzwRvtgFVV0tvIQ0APTvUogDfjPut875HkD0XpXj+3XGiP6lqG1yhfTkXHP6YJQXZQeEkZ55TA+UF2ZHdc5MxsqenGAIPI/Jo/vh0nEDTMub8cff42EGF89SitqWFWajh9dDpbZePwkgSQw8zyMvK/IQ6khR6v/4XrNgRm5Dq0d7Nng/b1NHJ2ONnC+//BJDhw7Fc889h0suuQTffvstVq1ahTvuuANvvfUWjj76aPz4448B+3399dc47rjj8NNPP+HVV1/Fxo0bcd999+Ff//oXjj/+eBw4cMDwfAcOHMDxxx+PF154Affeey82btyIV199FT/99BOOO+44fP3114b7iaKI888/H7fccgvOPPNM/PLLL1i0aBGcTicmTJiAv//972ZeFoLoUIiSjBynTfHkcKqRE0zpqX05GTnB8U+IJayLwya0F+QMo64GKDLS/jkU6pvgjnC2Ws0HcNgENLZ68N3GAyGNnDGDu6B3ab7PrDUAnH1sz7TzXCQSK+fkpJJETbqM7F8KjuNQ6jW0q+uV0gV6W1/Nm/nNsT1x6lHdTD2/kecu1O9s79/Ik6PHluoGJIrbb78dra2tuPfee3H33XdrywcPHgy73Y7rr78eN9xwA1avXq2tq6urw5QpU8AYw6effop+/foBAPr27Qun04nLLrsMV155Jb744ouA81155ZXYsWMH3njjDVx66aXafp9++imGDh2KKVOmYNu2bSgs9K3W/thjj+Gjjz7Cddddh8cee0xb/sEHH+DYY4/FX//6V4wZMwZjx4419foQREfA5ZGQl2XHkSaXpuQUPFyt/d9k5AQnHWeUOyo5TgEtLjFiBSqHt66OHnW81OqWkOUIPmQY1qsEoiR765Yo5xraoxg/ba+BI4SBZRd4tLlFCHyWz3KbkLgCi+lIugt+NLS4sfHXWgyJIqcyEkSZwWk3/3ukqsLdfHYlrn3hG63/0BsQ6j0RBM70b6KRUev/t9EZlZwcem9U0veNCcPWrYpCxoknnhiwTl22Zs0aHD7cXmDpn//8Jw4dOoTzzjtPM3BULr74YnTr1g2LFy/GkiVLfNZ99913WLx4Mbp164aLL77YZ12/fv1wwQUX4NChQ3j22Wd91rW0tOD//b//BwC44447fNbZ7Xb88Y9/BABMnz494t9NEEQ7bV4jZ8Ovtdi8vw5AqHA15XO4bs8RUlcLgTLDSEZOOpCXZdfql4STawbahQqMaHWHFiTIddpQXpQDUVeYsLJnMZx2IaR8tU3g4fLIAQN4geepyKGOdA8TPfeE3po3xEwSlau0zxuW1rNzHgBohrvPub0iLAJvvkFuZNT6/05m8G9FBlv595zFG01tUzqSsUbOMcccAwDYsCGwkrK6jOM4ZGW1zx699957AIDTTz89YB+e53HaaacBAN555x2fdep+p5xyCniDmZYzzjjDcL/PP/8cjY2N6NatGwYPHhx0v6+++go1NTVGP5MgiBConhwA2uArWI0XdflLizfi45WxFT/sCKT7YKsjkZdlR2Nr5JLQHMfBf6imhp+1RRCu5m8k2QQeTW0eOMIaOVLAM5WIAovpjCSztJbZttsEHwPYLBL1PeL9JgXUJ5H5eHJkr5HDm54HI0rtwgOPXjoSvUvzIvqd+lo+7/2ww9Q2pSPp+8aE4YUXXkD37t3xyCOP4L333kNrayvcbje++OILzWsyfvx45OYqSWXNzc1Yv349ABgaHPrlK1as8Fm+bNmyiPZbv349WltbI96vX79+cDgckCQJP//8c/gfTRCED3ojp1O+MqERrKNQOy/GgA+WKcIkNQ3mzzymO0q4WsZ2HRlFfrYd1VE+w/5vhzp0236wIeR+DEqImUc3kBV4DgdqW+AMEa4m8Mo+/u+lTeAgkpGjke4FHxN1P838Ho0eWK79W59HNnZwFy1sU/8L1HuSCE+OqPPk9CnLR5bdFuDZMQxX40l4QE/G5uQce+yx2Lx5M2bNmoVp06ahublZkdbz+vGOOeYYvPLKK9r2O3fu1NZ16dLF8JhduyqFmLZv3+6zXP073H6yLGPnzp0YOnRoRPtxHIfy8nLs3bs34Jx6XC4XXK72asMNDQ3a+eQUhN3IsgzGWErOHQ4GWLJd6UYq73Fdixttbk9EalFtbhG5TuUzN25wuVK5nTHDmGU1RE0/U7f/SDM65TlNann6EOr+ekRJifum98jycAByHTYs2VwVcL+C3WP/b6T6PrhFKeQ9Z0wJG3KLEkRJAgem5bnZBS7kvqIke1Wh2rfhvMvpOVPwiBKEKN87K/XFNp6Dyy2a3haPKIPnzPmNt06oxI9bqgAoRpnRe8Dk9nN5RAl8lg0cGCSTx1seUYLAK/eQA4NL97eKzJjWLtnbLuW9aX9XrXDvE0GkvytjjZza2lpcddVV+Pjjj3HnnXdiypQpcDqd+Pbbb3Hw4EHceeedKC5uT4BTDQMAyM42lq3MyckBgAApaXXfcPv57xtuv1Dn1DNz5kzDvJ2amhq0tbUF3S9RyLKM+vp6MMYMw/dSicvlQnV1daqbkfak8h5v2leHhUs345TBncNue7iuAZx3Vuvw4UMAEPT+19cr76NHbA/vaW6sR3W1ucURjdhf24puxdaRyw11f4/U1kGUGb1HacK0Md2wZHNVwP0Kdo/9v5GqzV9bV4/q6uAGv9vthsfFoaq6BmKLA6LHjcYGpd+SWhtRXR3co+QWRbjaWnzOW9/gQmNTMz1nXg4fbkBLS2tU18NKfbG7pQlVhxtRXW3ud66hoRENOQzV1fHXqmnSFcJlTNautcvlgsst4aT+JeC49j6kvqEBDubEoRoOrW3mji0OHW5Ea4vyTjS1iWhtc2t/q7jdLtTV1QEAWlqUd8XV1obqmkOQWpXiv5n6/jQ2Rla/KyONHMYYzj77bCxfvhz33HMPZsyYoa07+uij8cEHH2DIkCF4+eWXcc4556SwpeZw9913+wgXNDQ0oGfPnigtLUVBQUHS2yPLsiK9WFqa8g+rHsYYnM69KCsLXxSPCE0q7/EVJw9ARbdClJWVht12+a5NGD9E8aR2KS/DPZOODXr/86sV48Zua6950KmkBGVlhYbbm8nUlz7DZ/dOSPh5IiXU/c2rFsFxoPcojfjwL2cFeD6D3WP/b6Tq18zKyQ15z53OvSjIz0NhUTE6FWYjN+cgSjuXAAD69Qotr9vskmB3Zvscn8tqhTOrgZ4zL3sbORSJ9qiuh5X6YubMxzsrDuKa35h7P7NyGtC5UwnKyoriPla+Tlwjy9F+rbOz9kGEBxeOHYBVOw+3L9/Vgk4leSgr62z62OLXJh5FHgFlZWXIdXkgsc0oLMj3OYfTuQdFRUUAlAnxsrIy5OYeQkmnTuhcoIRnZ+r7o8+nD0VGGjlffvklli9fDgC48847A9ZfcMEF+Mtf/oLzzz8fy5cvx3HHHedjDOjzZvS0tChF0vxloAsKCnD48OGw+/nvq54z2H6hzqnH6XTC6QycYeN5PmUfNo7jUnp+I9QkQSu1KZ1J1T0uyc+CxBDReUdUlKG8WPGG2m0Cxld2D7otZxDhzJC858Vqz2Ww+yszIMsmWK69RHCyHMb3yugeq8tUBnYtVN45ObQ3gANgFwSIMiBDScZ22JQhRrhnxS3KeO+HHbj2jCHaMpsg4OOVe3DrxGGR/MSMRwZgs0X/vbVKX9y1OBdFeU7T2yEz5dtuxnEd9vYhsc8xOQ4AB5sg+PQJ+nNzMPcbLjPlHeB5HnabDYca2wLeTYDTqSYq65S8LQ7M25+l+r4nikh/V0b++pUrVwIAysvLUVJSYrjN4MGDIYoi5syZA0CpaaM+LAcPHjTcRy0EWlFR4bNc/TvcfjzPo0+fPhHvxxhDVVWV4TmJ6JFZoGIKkX7YBd4nuTkUMmPaDHa4ey8bJJaSlHQgpK6W2bg8kk/OWqf8LFwytj88UvhkZpvAKbVyJKVIYjTPSXmhbxgTFQL1RZJYRLWOrIyd50xXWDOzSKr++vofkoF588YC1dUSgVpoFGgXy6lrdgXd3ldCmpEyoZeM/oqEqgugWoG//vorACA3NxeVlZUAgE2bNhnuoy4fMWKEz/KRI0dGtF9lZaVPfk64/Xbs2AG32w2e53H88ccH/S1EZMgyi6hWBGFthCg6SklmyPLK10Z67/XCA6RSE4gyo0/vUabSOT8LB2rbow8YY3DYeHjECCSkbTxESdYUr6IZlD98sW+/Soa0L5mgapjjtOO1r7fgv6v24r+r9uJIU/w5w0o9GXOeFX0f4T8pxoHzkWcGAFFK3D1RjFrl2Oq74C8JbfSrBY6DxBjVmPKS3m9MEAYOHAhA8ZAES9jfvHkzAF9lsylTpgAA/ve//wVsL8syvvzyS5/t/Pf7+uuvDRUfFi9ebLjf2Wefjby8POzfv9/Q0FH3O+WUU1BaGj7/gAiNzNJbgpNQsAl8xLNUksxCFiLUY6i4RpWjAxATVHyPsAZFuY6AAZItjESuJDOA47xeVqZ5cqJ5TnKcvtHzNB/li5gBHtRbJlTiqF7FyM+2o7bJhS/X7o/7mGYbf91KlIlovcFz7emD8ceJR0Hg/T05ifOu6e+3anC9cZtvDceDdS1a/Sp1ck71NpEnRyEje6qzzjoL5eWK3vkzzzwTsP7zzz/XjIrJkydry2+99VZ06tQJH374IXbu3Omzz9tvv439+/fjtNNOw7hx43zWnXzyyTj11FOxf//+gIKfO3bswAcffIBOnTrh1ltv9VmXm5uLu+66CwAwa9Ysn3Uej0dr+4MPPhjxbyeCI8sswAVNpB/R1CSQvbPQkWA0qKKOIhApzet1EKExer8EgQ9Z40SSZdi9Ro1HkrQaH9EYOVkO38mIbIdN88ISmfHeZTlsGDWgHCcN6oLThnXHlv11cR9TlNuLZpqBOq+lv9TlRTnoVpKrSOfrPTmJDFeTAieTVDEBlV01TViy9bC3vWoOjuJtEr0T7nqvbEckI42cnJwcvPHGG8jNzcXDDz+MRx55BJs2bcLOnTvx8ssv4/LLLwegGDVnnXWWtl9xcTHeffddAMCECROwaNEi7Ny5E3PnzsUNN9yAPn36YN68eYbnfP3119GnTx9cf/31mDt3Lnbu3IlFixZh4sSJ4DgO7777rqaCoeeee+7BxIkTMXv2bNx9993YunUrVq5ciQsuuAAbNmzAjBkzcPLJJ5t/kTogEqMwm0ygzS3iqY/WRLStJLOI6ukAwCmVigIUY8rMdad8J4WrGUA5OZmNwAd6Su0CHzJEVA3bUbZj2oCcReEJzfXz5PAch2P7dIrqGJmMlGEe1NKCLNS3uOM+jtnGn/bNN5j1Enjex7svywxCgu6JJMsReYnsAo+ygiycP7IPAKXZjLV7cr5eH7+3LJ3JSHU1ADj99NOxevVqzJo1C/PmzcOMGTMgSRJKS0sxbtw4XHfddZg4cWLAfqeddhp++eUXPPzww7jyyitRW1uL7t274/rrr8f9999vaKgAQLdu3fDLL7/gkUcewSOPPIIbb7wRxcXFOO200zTJaiNsNhv+85//4Pnnn8crr7yCZ555Bna7HSeccAI++eQTwzYSscFIeCAjaPVEXg9BlplP5epQqMaQzBjGV3ZD79J80PgqEElK/xllIjhGlenD5cGpSdJOm4A2twjJmwxeVpiNd+44I+w5P/zr2YYhR6oHyW7iTH26kgmeHD0cx0UcShwKfe6KGXQpzkFVfavhteb9wtXEBN4TUWZhPVQXndQP+VkcKnuVoLxICbMTOA4yU64LkcFGDqAokj377LNR7zd48GC8+eabUe9XVFSEJ554Ak888URU+wmCgFtvvTUgnI0wFyVcLXM6iY5KNAmV0YSracf3xjPbBc4wT6ejkwkJ0ERwlHA1v5yccOFq3tCaknwn/rd2H3qV5sMm8OA4DkW5wQuIqgQLS7MLPDyiHPFERSZjpoqYVcjLsuPFRRsg8Bx+N6IPygqjLxQqRWAMRMPMy0Zh4oxPDccKPKfInauIUmTelliQJDms8VaQ44Aou31V4bzhpi3emj+Z9cRED305iA6DTOFqGUGowZY/0YSr6feRmRKGkEwbJ13CcjJtRpnwJSBcjeNgE7iQkwse72DvqF4l2H+kGR6TBuR2W+Ry8ZlOJk4u3DLhKEw8vhe6leRi8ZpfYzqG2Xkx6rGM7Cae5/Dpz3tQXa/UNkxkCGEknhyOU0NF27dTJyk0QYKEtC59yKw3hiBCIJHwQEYQjXdFlqP35MiMQfaq5iTT8EiX9B8xwlhxIj1Rat34Pow2ng9ZJ0cd7PEch9KCbDS0uE0Z/KmeHMK3bkqmkOO0oWfnPJw8tCu+22hcLzAckmxuuBoAPHb5KJw/qm/ActW74/bKqScyPzGS38VznHdCoX07VX1UnahIl8mzREFGDtFhIE9OZjDhuF7oXpIb0baxhKupSZs2gU9quFq6hMbJ5MnJaJRBkn+4WmAImx59KFVelh31LW5TDOFwggcdiUx+7/Ky7CjzUw6LFCkBYXzH9e2Mo3t3CliunmfN7iMAElsnJ5LwRJ7jAjzrNl4xfFTPa5p0KwmDjByiw0DCA5lBXpYdPTtFaOTIDPYojRwbz4MxJX8rGR2Eatyky4xbJobNEO2ogyQN1l7p/VBDm2H4mD5sRzVyzApXc5ORAyCxA+p0Jpnhs+r44elP1ib03Jv21eK1r7f4eEOH9CgK2I7jAI9fuJpN4CFJ7Z6c7hH2lZkKvTFEh4GEBzogHBfVPX/r9tNR55U1FfjkCA+oaj3pFK5mZqIvYS3UQZIetTDilf/8El+t2xewj0eXJF2U68DeQ02mSOtSuFo7mZ4LV5znxBerY8vL4ZLUr/tHgki6EEIzP99qkVT96f5x9ZjA9nCK6qH+e2zzej9FWcaQHkUQOviYh4wcosNAdXI6JtF0gCV5WWhq83j3S46rPz09OfQeZSpK/k2gYdHsEiHJzPCd0A/2tJwck8LVSHhAIdNz4S47eQDW7D6c6maExH/CLFFebTXEOlyXoOTkMAicLidHDVfzlk9IlzDoREFGDtFhIE8OEQmjB5QBUIyjpHhymPrf9OiMyMjJbJQ6OYGGhSqd+9RHa7Dh11qfdfpQqiyHgNW7D5sys22jnByNTH/vSvKysHJHDVxR1EFLNv6TpLJOzMjMO5PtUKq7FOeFll/nODVUVKeu5n1nJInBbhPSpl9JFGTkEB0GmZG6Wocjjg+8kpOTvHC1dOmLzC6+R1gLxbAIfBh76GL7m73eThVRkrWCnU67gFa3hO0HG+JuC0lIt6PUg8nc907gORzfrxSt3vouVsR//MCQmFA51ZjtlB9ajIHnuAAJbbu3ppUoK/Wl0qVfSRSZ+8YQhB+MwtUyhmi/25U9iyPedmdNI37cWg2OS06ejDrTJqdJUk4iZVOJ1BPMe6KvTt/mN9su6gbgamFPM6rZU05OO5lYDNSfyp7FmP3FRk2i2Wok6/pHeh5ODVfzER7Qh6tRQWsycogOg0zqahlDxHfRe7+fuuqkiI9dVacUeuM5DiwJpdTahQfSozPK9LCZjo6N57SCu3pPZraj3WjxDynSV34vyHYAAJxRFuE1wmGjcDWVRNSDsRoTjuuFnp3z8NiCX1LdFEP8xw+J+gpG+n3l+UDVPbWYr5qTkybdSsKwpboBBJEsJMrJ6XjE8IXnoIYhJFt4IPHnMgMxw8NmOjp6T46+tliWvX244B9CppeQLslX8gjM8Jp/9ssebPy1Dv+9/5yAdaIkJ6zafKKorm/FFc98iUvG9lcGyBzAgVPnYrzLOHDQ5meU5RyHbQfqO8TkwiVj++PBt1ekuhmGhAtNk5k5Y4yIjRxVXU23vcArcu+St3xCukyeJQoycogOAxUDzTwaWt3azLFZCN6ZbA7JEh4gTw5hHWwCpxk5+lnibIeAgmw77vzdMahpaPXZx6Pz5KiDPDOekN6l+dj4ax0aWz3Iz7b7rDvn0c8MjR8r4xYljBpQhnFDugJoV6pT33zGFN9x+6dA2YZBKVBZlGvut44wD9W44M2Q14/QUOI4pa/Sq+6pBULVSYB0Ue1MFGTkEB0GUlfLHPYcbsL+I824+rmv8cZtp6NzsGrZMdxvzchJlifHOymeLn0RM2m2krAmNr5deECv3JTlsKHZJSLLLgTkyUiS7OPdm3rKQBzVqyTutlx1yiB8/steeCQJgD3s9lbHI8roW5aPii4FqW4KYQL6TzbPm+c1kWSGv108Iux2vLcYKO/vyWFMJyFtSpPSlvTy9RJEHCjCA6luBWEG+4+0YP6POwAAbZ4QajwxdDrqzDWfNAnp9PLkEJmNPlxNqc3SLiighsD4h6v5zyZfOm4Aju7dyZS2AOkzARAOjyTDbkKuUqZj5dv9wZ9/o5UZ0CPwigfFDCRZ9smBC4aRuhrvbUe7upqVr2biIU8O0WGQaAY6o1DvpZHcbVzH9RrCiicnmRLSHbszIqyBvk6OpFNuUv9rpHiWqPwYVZbarMFjqvFIysCTSF9ynDbNCNOPJsw0cmQ5stB6juMgSszn3dNycgDy5IA8OUQHQpZJXS2TUO9lyDoaMd3v9tyCZNgdkubJSfy5CCIceVl2bNpXB0Dx5AiC73tmF3i4jTw5CRi8qyFwGWPkiDLsNhp2haO+xY2qupZUNyMoRr2KuZ4cX8W0YCjhan7CA96cHBIeUKC3jegwkPBAZqHey5AVsuP4wHNJLgba0TsjwhoU5TqRn6Xkv+gLv55QUQrAuI6OpBMeMBP1mJkiI02enMgYX9kNa/ccSXUzokIJEzPnORWlyMRdeK8nJzBcTaZwNS/0thEdBhIeyCzUW+lfmNCs4/JJKgaqdkIdvTMirIP6JOo9OWr19aA5OQkYvKuSvZniyXGLMhzkyQlLz065aHGFyLXUkconQ39us3NyIpk04HkOHtm/To6/J8eUJqUt9LYRHQZFwz7VrSDMJqQnJ0amnTY4eZ4c5vtfgrAKohRYgNIoJ8ed4DAs/8Fjuk4IeETy5ERCbpYdzREaOVZBzYUxg0hl+o3q5KiCOWrtqnR9V8yC3jaiw0DhapmF+u1ucyeiM2RJ8+RIJDxAWBTRL7zqwd8PN/TkHGlqQ0meM2Ht8A8DSlfPDoWrRUZxrhPr0iBczVd4gDfPk8Miy8kReA4eKbBOjsza392OHgZNbxvRYaBwtcyC45SQMpdobry++oQkz5OjGjkJPxVBRIUoy1qdHAA4aVAXOAw8OY2tHtOL8urxHzyK6WzkULhaWLoUZUcUrmWliSFTw9UizcnhFU8O75eTI8vtdXIsdIlSAr1tRIdBZqSulik8f904ZNkEZNltpufkAIrBwSXJk6MaOek6O01kLh4pMNfGSHggURLS2vH93o1VOw8l7FyJZOuB+g4/6IwELsJ+WmaRGQPJQFU1MwNJlwsXCp5TPDm+4WrwKQZqJUMwFZCRQ3QYrPRBJOLDYVNkbJ12AW1uEW7RPENH7WD5JHlymLd+U0fvjAhr0eISDY0X/xlrtyhBjjCHIBZOqCgNCFdLV7W1XKcNXYtzUt2MtCCSr2GkuSvJwHwJ6Ug8OYp3UP+O8ryakyOT8ADIyCE6ELLMYiubQlgOp12AyyPBaefR5pFw7szPTT0+g2LsJCOeWe3QOnhfRFiIM4/ugb+8/qM3rt/3o8lxvs+q2e+ePyMHlEHyK/irKr2l28SAR5KRZQ9fyZ6IzMhR5JOTP4xlUCZN9R4n1bgwg0jr5Agcr3hyOL+cHJlpRULT7R0xGzJyiA6DzCgnJ1Nw2BTjprbZnbBZXZ5LTp6MzJQq8+mSIEpvUOYzbmhXlOQ64fJIhmFo6jOQjAGU0Qy5Gr6WbrPUbR4JTjJyTENREEvNF8lf1SxVnhxJZj6hbQLP+YSrxaL4Vl3fmiBBn+RDRg7RYSB1tczBYROwcnsNXB4pQOnJDJh3li5ZxUAFPn1m3NKjlUS8lORnobq+NUBCWo+WK5PAySOB5yD6q6t53/l0mRhQcXkkOOw07IoEDuGNaEmWUxauJvvVhhJMLAYqySwi4QXVg6P3+iieHMQVrnbLnO/x4Yrd0e9oQehtIzoMsuzr1iXSF6edx5EmFwAEKD2pxGs0cEie8IDiyUn8uQgiUjrlOVHT0BZS8jgZYhm1TS5Mf3elzzLNk5NmL83hxjZk2W2pbkZakGUXworKRBrWlQhEP2+LqmpmBpIsRzQhq24T0A6mhKvFIzyQbhMIwSAjh+gwyAzkyckQ9B1bsI9xPPdb4LmkSkjb+NjCClIBvUEdg6I8p+LJCREOJCVBAKCh1ROwTA1RTTdFwhyHzTKJ8lYnx2lDS5iCoP4hY8mCMzi3qXVyIjTe1Jwg/zo5ksw0oaVMMVZihYwcosOgJAqmuhWEWajFB4N5ciRZjikH66azKzF6YLkmxZloZG9MNYWrEVaiMNuB2maXsTS0973SwtUS+OwavcGylpNDT2OmkuUIb+RIcqDEebLwP7fZOTmR2G5qn2HkyeHQXhg0FjJlqERGDtFhoGKgmYlHCu7JiWWW75TKbuhdmu/15MTbuvBonpw0GK+liyFGxE9+th1HmlxhwtWUCYaEPhUGr7BqXO070pzIMxMppHtJLr7fdDDkNv4hY8lEkW4O9KCYRSS1gkRJNXL0OTntkwCKeE70bWIZNCFMRg7RYSDhgcwkmPBApHHNwUieJ0cxxtLBgIjVcCTSj7wsxcgxLErofVbVQVYiCvKqGD1tarjazAW/JOy8RGoZ0b80rBGbyPpM4Vjw4078R5ecb2ZoWKS/SBXk8Fd5q29xgyF2WWsWVSusDWXAER0GEh7ITIIZObKMuDx3/vVAEoUiPJAenpxUqhkRySXHaYPLI0UkPLB61+FkNcvnvOmWk0NETmlBNvYdDm3kpConBwAO1LX4/G1muFqk9C3L186twnMc1u45gqJch7fWW/THJU8OQaQhJDyQeVw8pgIeUZlFvub5r/GfFbu0dWriZazwSSoGqoSrpYcnJ5VqRkRyyXIo9VyMch5474BOlGTkOhM7V1qY4whYps5gJ6pGVqKw/htuHQSeQ0G2PeQ2kjfUNxWcWtkN004brP2dCiPHYVPeUb23VQ1zk7yTurGFq2WKH4eMHKID4V+hmEh/eJ7TPDm/Hm7Gv7/Zoq2LN1yN45CUUYkqPJAOSdSRFqkj0p9sh2K8GA0iHTYBHkmGJDMM6l6U0Hb8/qQKjBpQ5rNMDZNLh3eGSByp9OQAQHlhtvZvM+vkRIvRxBPPceC42LydDMgYK4eMHKLDIEeoWEKkDwLH+air6T/o8YarJdeTw6fFgC3VgwoieTjtyiyx3SAnx27j4fZI2H+kOWQ4mxlwHBcw3pI1T4713xk99OaYizpBlApEWfY5t5kS0tFi9E0WeA58jBECmSTSRDk5RIch3vAlwlp4JBkcx/kMdPQf9HjvN8clVBlXo11COvHnihfy5HQc1EGOYGDEOGw83KKM6e+tTMnzkK7FQAlzEVNZDNRbbFOFj9FrYga2IO9grBLSoiTDYcsMH0hm/AqCiIBMmp0gAEliYIz5hAgM6lbUvj7OATmXNE8O0saTk8q6FERqcHrj/v2Xub25cKkY2KkTG6kKD4oFxhgyJpvbIkgyCzrATzSJLAYaLUZh+JJ3vBNLv5JJuZeZ8SsIIgJkFl/4EmEtOA5w2AVIuoJox/XtrK2P16jlY0zajJZ24YGEnypuyJPT8ch2Bho5dq8nZ8zgLnhwyvCkt0k1btLJkeOR5ISH9nU0UhY+y3HeOjm+xUBTMVF13+8GGS6XZEUhLRZvJ2dyzZ9UQuFqRIeBhAcyi2P7dka34hyfj7Go+3erW4w7XC0Z33k1rC49PDnxiTkQ6cVHd5+tKTjpcXg9OYU5DgzqXoQP//KbhLbjx63VWL/3CCp7lgBQPDnjhnSFS0xcfR6zcYuZEwJkFeQUeZYFTrmf/kZOKgyDAeV5hsvVuoCxdCvp0h9FAr1xRIchlYXDCPN5YMpwjB3SVetYGAMknaTszXO+j0scLWmeHJlBEPi08eSkSrKVSD5GBg4AOL2eHPWbmuVI/HxpVV2r9m9JljHh+J7olOdM+HnNwiPKsJORYypiikLQeZ6DW5R8QuVSZeQEQ44jXI2P0QNkReiNIzoMMiN1tUxE/zH272RccVRiT5rwAFMSWNOhUxElmigg2oUHRFlOWuy+fsJBkhmy7EJaqau5xdCFVQkDwgzSJVmGLQXqajzHBfHkWCdHTBnvxGbkCGmSIxoJ9MYRHQbJ674lMot2w4ZpRQJV4vlQJ01CWk6fcDVSKCQAwO4NV0tmjpZ+DsAjych22LQaWekAhatFTzjviDLpkvxrauTJ4XnOUhNVjMXukeF58uQQRNrBSHggI5FkWas/YWq4QNI8OUpV+WSExsWLJFOdHKLdk6Oo7SX/eXCLMnIcNkvNnIfDI8lBw/8IY2w85xOC7I8kyylRV1M9OYIFcnKCIcnKpG4sTUrWBF8yICOH6DCQhHRmIskMDm/hQv9OJp7vdDKLgQoxdkbJJlUzp4S1UCWkpRSpW3368x5kOQR40ipcjdTVosUm8D5iMv7M+ngtth6oT2KLFHieg9vjG34o8OaEHM/9chPW7D4S1zFuO2eYJrQUa7ialQy2eKA3jugwyBSulpHIMoPTpiTuBxo5sX+olZyc5IWrsbhkEpIDSUgTQLuEtJTCiaMcpy05rlaT8IgShatFiV3gIYYJSVQnuJKJoHpy9OFqJskuf7xyD1rcYtzHAZQ2/bStOvr9KFyNINKPVHbIROIQdZ4c/w4xXnW1ZElI29JEeCBV4UmEtVAlpMFxKZHlHz2gLO1Cv9wZVEU+WdgELmTe1bkn9Mbpw7onsUUKPM/BLfmKHpgXrmZOP8BByclxidGHdPIcp9WfS3fojSM6DIonJ9WtIMxGkhmy7QIYDHJy4vhOc0mSkJY0T471oZwcAgCcdsWTk0xPSjp4OkOhSEinl2GWamwCH1JBL5We5eVbqwPV1Ux4H8x4pdRQtVgnIKwmohAPNOQjOgyMkScnU6lrcQMwV3iAT1oxUMDGp0+dHMrJIRw2Ae445NljIR3ej1B4KCcnasKFq6Vq0kX1LulrhpnlyQmVgxQpLM5yGcmKYkgG9MYRHQZZJnW1TKW9Erp/uFo8OTm+npzFa37FwbqWmI8XDMbSR0KacnIIQBl8umMIg4mH9qK/uvckjb7nbsrJiRpbGCNHlJiPNyVZqF4Ofbgab1KdnFBqcpEiM2henK7FOVHvL5C6GkGkHyQ8kLmUeCuf+8+kxTMbxfsJDzz+4WqsjVP1xghNeCAN+hQxRWpahLVw2Hi4k1ij5pFLRmgDSJmh/TueDi+Nl4376mAnIycqwqmrpWrSRTVuBD9PjhkhXmZ4cqDz5PTunBfVrjJjEAQKVyOItIOEBzKX/Cw7AIMUnDhzcvy/84kIN5G8nUp61MkhTw6hhKu5khiuJvDtuRnpmhf20U+7M0aWN1nkOm1YtjW4OliqngWbwKMwx+FzbivVyZEZYvZyipISVkmeHIJIM8iTk7nkZStGjv/Mblzhamj35Kj/TUS4iSwzb06O9TsVydtWomPjsPOKulqSsAkcRK8nJ51rNXmSHOKX7gyvKEVrCDnlVOYIlhZk+fxtpdoy8eTkyDKD3ZY5Ro4t1Q0giGQRbzIeYV3yvJ4cfzjEfsM5jtNmw5ralI42EeEmioQ0F1JFyCooM6fUbXR0nDYBLk/yBuw2gYekeXLSS8Z83Z4j+G7jAQBIqmGYCQhc6LApmSElnhymy3lRsZonR21ftC2SZAa7kB5COJGQntMhUdDc3IyZM2dixIgRKCoqQk5ODvr164fzzjsPL774ouE+y5Ytw/nnn4/S0lJkZ2ejsrISjzzyCFwuV8hzHThwADfeeCN69eoFp9OJXr164cYbb8T+/ftD7udyuTBjxgxUVlYiOzsbpaWlOP/887Fs2bKYfzcRiEzhahlLfhAjJ8thjmSr+tgkYtaQMeW46dCnSDJ5QwnFo+lJpieH57QEdJ8QpTT4nq/edRjH9O6E/3fFaJw8tFuqm5NW8BYVZBnWqwRjBnfxWSbwHP63dl+KWuQLA9Om96J9Q0SvdywdIgsiIaONnK1bt6KyshILFizAvffei19++QU///wzbrnlFvz3v//F3/72t4B93nzzTYwZMwZVVVVYsGAB1q1bh2nTpmH69OkYN24cmpqaDM+1YcMGDBs2DB9++CFmzZqFTZs2YdasWVi4cCGOPvpobNiwwXC/pqYmjBs3Dg899BCmTZuGdevWYcGCBaiqqsKYMWPw5ptvmnpNOjKSPmGVyCi0cDUdx/TphOvOGGLK8WW/sDUzkZkqPGD9TkWZRc/oboOIAI5Lbl0ngW9PQE83GXNRllFWmI1j+nRCjpO8oNFgJe+IntOGdcclY/v7LDNzAjXeYQqLY6wjyTLsQnrUbYuEjH3jmpubcdZZZ6GsrAzffvstsrLa4ycHDx6MtrY2zJ8/32ef7du3Y9q0aejUqRM+++wzFBUVAQDuvPNOuFwu3Hvvvbj99tvx0ksv+ewniiImT56Mw4cPY8mSJTjppJMAAH379kWXLl0wduxYXHjhhVizZg1sNt9L/qc//QkrVqzAjBkzcOeddwIAKioq8Nlnn2HQoEGYNm0aRo8ejX79+pl9iToeVCcnYzEKV8u2C3DazfHkqCETiZhVVJP5rThj6Y9IwgNEClDCOdWcHJ0nJw3eGSlFMseZAM+FMXIsdP/N/C7Ga8THUxNQnciy0KWNi4x982bOnIldu3bhkUce8TFwVO655x78/PPPPsseffRRuFwuXH311ZqBo3LzzTfD6XTilVdewZ49e3zWvfXWW9i0aRNGjRqlGTgqY8aMwejRo7Fx40a88847Put2796NuXPnwul04uabb/ZZV1RUhGnTpsHlcmHmzJnR/nyC6FD4h6sxxkyVuJV0s8hmo3py0mHqLF2VrQjzSeZTYNMldaebN1GU5bTKIbISPJ+YiaVEYGaUSLzfWB8l2Shr3qhGeTpEFkRC+nwpokCSJLzyyitwOp047bTTIt5nwYIFAIDTTz89YH1hYSFGjBgBWZYDPEDvvfde0P0A4IwzzgCAACPn/fffhyzLGD58OAoLC4Pu9/7770OSKGGRIILhsPt+ytbuOYKfdxwy7fiSzOBIkOKMqq5mwaiMAGTy5BBedh9qQksI5SszEfTqarpnkLdoOJMeUiSMHT6M8ICVsFKUyNG9O2Hy6L4AAIFDVNeQhAfSgHXr1uHAgQPo06cPGhoa8Je//AVDhw5FSUkJKioqcNVVV2H9+vU++2zZsgV1dXUAlHA2I9TlK1as8FmuCgQkar/a2lps27bNcBuC6OiMHlAWMIgwTaqVtc8e24XESIQyhrSpk5PO8r2EuRzXtzNa3cmZfLPp6uToDW2bwJtSZT6RiJIMgTw5MWFV4YFEE69X6KheJZhyUoV2rEiu4Z5DSr655PU8Zsp1z8icnDVr1gAAWltbMXz4cAwbNgwvvPACOnfujG+//RZ333033n77bbz33ns499xzASj5OCpdunQxPG7Xrl0Dtm1qakJ1dXVE+x08eBAtLS3IycnxOU6w/fTLt2/fjkGDBhlu53K5fJTfGhoaAACyLENOQQcgyzIYYyk5dygYYLk2pStWuscP/n44AOCN207DM5+ugyzLUKNZ4m2f+sx4RAl2Gw9JMv+dkmQZvPe/VrieQPD7K0oyeFjjvhPxEe87LHgVz5LxLPAcg0eUIMsy3KIInlPab+M5uDwibBb2LirvTGr6Hit9p2OBYwySHLr9VvttoiTF7dUZ2qM4ot8Vyf3lOA6iKIV9R6574Rt8du8EeEQJAs/BI1qnPzIi0rZlpJFTU1MDANizZw+OO+44LFy4ELx39rGyshJ9+vTBxIkTcfnll2P79u3o3LmzZhgIggC73ViOVjVO6uvrtWXqfgCQnZ0dcj91X/Vvdd9g+wmCAKfTCZfL5XNOf2bOnInp06cHLK+pqUFbW1vQ/RKFLMuor69Xkt8sNOvrcrk0g5SID6vf48NHlHcr3vutHq+mthU8GGrr6lFdbY6YgUpzSysaG+rR1NRimecz2P1tbGpCfb0D1UJoOX3C+sT7DntcrWhze5LyzDa7RDS3tCrv4qFmuFqVf4tuFw5W1SA/y7pDmcbmFtQeOQxPS/LbaNXvdKS0eSS0eO+14XoL9ukHD1bFlTN2bK9C3Hpar4h+VyT31+Nyoaq6BtkRlFOorq5GzeEWeFwutLhFy11bPY2NjRFtZ90vQxy0tLRo/77lllsCbv6ECRMwcOBAbNmyBa+99pqmapau3H333bjjjju0vxsaGtCzZ0+UlpaioKAg6e2RZRkcx6G0tNRSH1ancy/KyspS3YyMwOr3eOpLKwEg7vutHq+ZNSDbaUd+fr7pz5DDuR+dOpXgYEv87TWLYPfXmXUEpZ07oaxzXgpbR5hBvO9wfl4tGBqT8sy2uUXYHNUoKyvDIXctCupllJWVIS+3GkXFJeiUHyguZBXsjv3oUl6WEvloq36nI8UtSnA4DgZ9xqzWp588tCtKOpciKw5VT4djT8S/KZL7m5NzACWdOiPfoMyCP2VlZTjiqUNBfhvkZpelrq0/RoJiRmSkkaP3jAwdOtRwm+HDh2PLli1Yvnw5AGjGgCRJ8Hg8ht4c1XjSiwTojYjW1lbDc+mNLqN9g+0nSZIWhmYkTKDidDrhdDoDlvM8n7IPG8dxKT2/ERxgqfakO1a/x/27FMTdNvV4MjjYBQEy4n+GJJlBlGRN3poxwG4TAHDWupYG91dmgF0QLNVOInbieYfVHLVkPAt2u007l8wAm01ps90meOufWfd5lGQGhz1174wVv9ORYhO8RbyDtN1qfboSEhbfd5znots/3P3leR6I8Ji8tyi1KjxgpWvrT6Rts+4viAM1BwYASkpKDLfJz88HoCT1A0ptGpWDBw8a7nPgwIGAbfPy8jRrN9x+Xbp08QldU48TbD/9cv05CYIIz0mDjHPdYkFmDHYbb4rSz39W7MLtc5fqjo20qZMjyYySqAkA3oKgSXpkbTwHySsJr1crswkcjjS5LP3uiFQnJ2asWgw0GAKfGHGaeBCiVKjT1NUS2KZkkpFv3nHHHaf9u6qqynAbdXlxcTEAYODAgZq3ZNOmTYb7qMtHjBjhs3zkyJEJ3a+oqAj9+/c33IYgCGPMHPioH34z+q/mNg/qWtpzWtKpTo5IdXIIL8lUvuJ0idz6YqA2gcftc5eaKhdvNgzWkhdOJziOS4fPogbPw3Jqf5G8p/r1osQgkIS0tRkyZAgGDhwIAFi9erXhNhs2bAAArXinIAiYNGkSAOB///tfwPb19fVYsWIFeJ7H5MmTfdZNmTIl6H4AsHjxYp/tVCZPngye57Fy5UpDYQF1v0mTJkEQzE12JohMx3Qjx2bOLJ3/EZQ6OWnkySEjh4DiXRFNLLgbDvXt0BcDdXj/a5pkPGE50ulrw3Pxe57M7gV4LngRa9Ug03t6VAnpdChpEAkZaeQAwL333gsAeOGFFyCKvgXLPv30U2zduhWdOnXC1KlTteX33HMPHA4H5s6dG2B0PPfcc3C5XLjqqqvQu3dvn3WXXHIJBg4ciGXLlmHp0qU+65YuXYoff/wRgwYNwiWXXOKzrk+fPpg6dSpcLheef/55n3V1dXV45ZVX4HA4cM8998R2EQiiA6J+nM0sIifJsteTk4g6OUrtmXToU6iwIaGiFOhM/kOrN7QdcSR4J410eLEtzIG6FrjFIPWYLOYhU4vTNrS6U90UjVCenIkzPgPgawSZGbVgBTK2t7ryyitx3XXXYcOGDZg0aRJWrFiB3bt3Y968eZg6dSoKCgowf/58FBUVafv0798fc+bMwaFDhzBhwgQsWbIEO3bswJNPPokHH3wQw4cPxz/+8Y+Ac9ntdrz//vsoKSnB5MmTsWDBAuzatQsLFizA5MmTUVJSgvnz58NmC9R5ePrppzF8+HA88MADePLJJ7Fjxw4sWbIEEyZMwKFDhzBnzhzKxyGICFE+6Mq/zfxIJ7IYKKD01WnhyZEoXI1QsPG8lieTDNSnzsfIsSlDGIuNdQkT6VdegMONQSTrLfbN/GFzFa545ktMeeKLmI9h9qPMR5CT42/kKJ5Sa13bWMlYIwcAZs+ejbfffhuNjY0488wzMXDgQDz44IOYMmUKVq1ahVNOOSVgnyuuuAJLlixBaWkpzjvvPAwdOhRz5szB/fffj++//14TLPDnqKOOwpo1a3Duuefitttuw6BBg3Dbbbfh3HPPxZo1a3DUUUcZ7pefn4/vv/8eDzzwAObMmYOhQ4fid7/7HUpLS/H999/jiiuuMPOSEERGoySqqgnK5g3AZNk84QEjuDQZpVG4GqFiS5EnR5+T47ClgSeHiIuSPGdSwyLjIajHKYVEkpOTyZ6cjJSQ1nPRRRfhoosuimqf0aNH48MPP4z6XN27d8fs2bOj3i8rKwv3338/7r///qj3JQiiHb26TSI8OWaFIXB+83V8mnhyRFlJSiWIERVl6HJRTvgNTUaSmVaHxOZV+rP0HIGlG2d9eM54kC4zZrnJodKCbDS1RVakMllEoq6mnxCUZFmRwk6D/igSqLciCCJjsAkcREn5OJuZOCnJDA4bj3eWbDftmHqSKccbD+TJIVS6FOdgRP/kFwuUdAp/q3cdBhA4aUBkDgJvPEi34rfIakYXoBqJobfRe3JUdbVM8eSQkUMQRMbgG65mwlfa22mp6mqJgkN6eHIYYySHS6QUUVerSTVu6JHMXPggtXIkSbZc/SH9xJpVvufBrp8e/XqZUZ0cgiAIS+IbrmbeZ1r2hqslCjIcCCI0PhLSXoW/s4/rCcA6A0rCfIQg4WqiBT05+mZ+v9G4yHuyCRbup0cOEB6gcDWCIAjLIXhrd/AccNYxPeI/oPdDr0pIJwKG9FFXI4hUo1f4G9JDKeZttSrzPtB7HRfBEuetGK7GdP6PNo8YYsvkIUTgyRF1OTmKsEfmmAaZ80sIgujw2LwyzyP7l2Fw92LTjisxBnsClZzSJSeHIFKFj4S0d8JBHeRa2sgh4iLYIF20oJy9/hsei3c+EWIK4dTVGGPa9VX/bbXrGg9xGTmtra3497//jX//+9/YsmWLtnz9+vUYN24c8vLyUFlZif/85z9xN5QgCCIcAp8YWVtVeCARcCBPDkFEilGYEhk5mUuwOi/t9Vysgz4nJxYjJxGGW7Drx7QoBQa9IqkSDkpGDgDgo48+wlVXXYU77rgDa9euBQA0NTVh4sSJWLJkCVpaWrBx40ZceOGFWL16tSkNJgiCCEYwJZ54kZKQk0M2DkGEx38Q5rQLCatfZQqUbxcXPM9BSpdwtXg9OQkw3HjeeAJNNWxEnZEjyTIkWQZvsesaD3Fdzfnz52P8+PHYvXs3Jk+eDACYN28e9u7di1GjRmHv3r3Yvn07jj32WDzxxBOmNJggCCIYNp6HR5JNG1jUtbjR6hYTr67GmSt5TRCZiuQ3233XeceQJyeDUTwRgcv1UuJWQdbl5MTStkQYbsHq5KgRD5IkB3hyKCfHyw8//IAHH3wQubm52rLXX38dHMfh6aefRvfu3dG3b19Mnz4dy5Yti7uxBEEQoRB4DrO/2IAft1SZcrxN++rw+rdbEz5r6O/J2XqgPmHnIoh0pT1noH3oopeNJzKPYPdXlNpV9qyC3piIxRsiysx0L0pQT5gka+dUr+/r32zxXldrGY/xENcTUl1djYqKCu3vmpoaLFu2DAMHDsTIkSO15UOHDsWvv/4az6kIgiDCYhM4rNl9xNRjykzpBBIl89zY5tHOo3LLnO8Tci6CSFcEbwK16DeDH4l6FJG+CEHV1aznybnrvGPxr+vHAYgtmECSZdMNjGA5OaIuRE1dv7O60ZLXNR7iMnLKyspQU1Oj/f3OO+9AlmVMmTLFZ7vGxkbYbLZ4TkUQBBGWRMQSc1Bm6BIVTrZ+b63iyUnI0c0lc7o+It0QBB4eiQUknOtrY1kNmTFk0HgxJQQzYvUqe1bhqF4l6FteACC2cDVRMj9i4EBtCz5ZuSdgueq9cYvt4WoM1sx1ioe4npBhw4bhmWeeAaB4dR5//HFwHIfLL7/cZ7uvvvoK/fv3j+dUBEEQYUlE+MK+w8145cvN6FOWjwFdC00/PqBKSFtzoKbH+i0kMhUbz2n5A/6enEQoKppBpg0YU4HA85Ck9CgGqnLdGUMsIzywZvdh/GAQvi16r+kzn6z1MSKtaDzGQ1y/5I477sC///1vFBUVoXfv3ti7dy9++9vfYuDAgQCA/fv34+WXX8YDDzyAs846y5QGEwRBBKOhxW36MQ83uQAonW2nPKepx1bDMPjMKTBNEAlBEHiIMguQ2U2UoqIZZFoSdyoI5cmxau5IlkOIqSSAlICcnGDPn3pND9S1aP/mkHmGeVxv3xlnnIF//etfKCoqgiAIOPfcc/Hyyy9r6++9915cd911qK+vx0UXXRR3YwkiVmTGSMqzA7CrptH0Y6ozcmZ9+PV9nzY4S5M6OfQGEanCxnMQvZ4c/Ww3z1k3JyfT8htSQTDhAUmSLetxiLUkgCjLEEwvBhrkXF7hAVknIc1xmffMxv2EXH/99di1axeamprw4YcfonPnztq6uXPnQpZlyLKM4447Lt5TEUTMyDKDkDnvLRGERBSHUzsJ84wcptnb7Z6c9KiTkwZNJDIUm8BrhQsDPDkWfXkkyfyZ+Y6GEEQdzMrhanyMk1aJKHCqTtKt3XMEB2tbfM4FqLLRisHDcUrop9VU6+IhKb+EMYY9ewITnwgiWciMOpuOgFqw87HLR5l2TB9Pjgm5M5LuWZS1GbT0yMkhiFQh6D05aaKulmmhP6lA4Hktf0RPIpTIzIKLcdIqEc8L5+2//t/CVfh81V5tuerJUQqAtk+2ZdozmxQjp7q6Gn379k3GqQjCEFlmCZMAJqyDzeuu61qUY9ox1++tBaB0AIIJYWX6Z1FmwKlHdVMU3Kw5TvOB3iAiVdi9OTlNbR6fCStlYGbNOjmZNmBMBTYhSE5OApTIzCKYbHM4EhEqph6N53zr+KhiHcf07gRJZuiU78RRvYqVqBeLXtdYMEXXed++fVi9ejVqa2shSVLA+vp6KmxHpBaZtc9oEJmLajwkwmvnsAlKYTWZIZ6IAkVWlvP5N8chwJOjhLVZ65lNAzuMyFAEnkN9sws/ba/xk5C2svCAnFGhP6mA5znIRjk5FhZ1iCdczezfdPHY/nB9tVmrx6YiSjJGDShDv/ICSDLDCRWlyLLbFGEPi+Y6xUJcRk5TUxOuvPJKfPjhhyG3s2JnTXQsZJZZsxOEMQU5DgDm5c/ocdh5CDwf94BKZu3tU706RnVyGKzlOaFwOiKV2AQeTW0iAPh45XkKV8togkmE+xeFtRKxhqslok5Ov/J8VHQpwKpdh7U+5ucdh+AWJThsglbs2ibwYCww5y3dicvI+b//+z8sXLgQpaWlGD58OEpKSmC32wO2a2lpwfz58+M5FUHEBYWrdQymnjIQ7yzZnpCPtNMmgOdgmAQbDb7hagw8b5yTwyymCKg3zggi2Qg8B5cnMFIkWGK6Fci0AWMqsAUp9irJDA6bkIIWhYfnYhPDUIQHTFZXM2jL3W8sw8VjKuC0t4t52MnICWThwoW44oor8Morr0AQgj9sBw8exHvvvRfPqQgiLtTBJJHZqK7+xISr8aZUV9eLYEhye7iaeljV2JEZYKUuPNOkRYn0wibwaPOIAcvN8K4mikTUPelopGOdHM4v/yVSEvGNDebpVI1EWWfkyEzpfzJpQjiuYV99fT3uvPPOkAYOABQVFWHu3LnxnIog4kIiT06HwuxaA4DibeH52DovPcqzqPxbNXg4QCugo866WS08zMox8ETmY+M5tBl4cngOFK6WwQg8hxZXoHErSrJlDUiej0ddzdxvrKATQdBfLcXIaffkqOFqmUZcV3PgwIFwOsNXAM/KysLUqVPjORVBxAUj4YEORaIGFgLPx6+u5ichrXhyOPy4tRqAb/0CK0EDNiKVCAKPNrdRuFr872SiUGbmaWIgHrqX5OLXw00ByxNRU8YsYg1XE6XEeHK0KAH9uWQZTpvgY+RYrc8xg7iekNtuuw3/+te/wm536NAh9OvXL55TEURckPBAx8KsGb7fn1QBACgtyFKOa8KssVKYtl1C2v+5VGfdrDarlogOmCAixS7whp4cqpOT2WQ7bYaDbysXA+XiUlczPyfH6P0QJQaHXRUeYLALmVmrLa6cnDPOOAPLly/H2WefjWnTpqF///7o1KlTwIx5dXU1du/eHVdDCSIeSHigY2FWR3Hy0K54d+l2nHl0DwCqnKn5nhw9kl/YmlWgARuRSgRvuNqkUYE195Z7vaBWg96Z+OEVff2A5VYuBsrHUQzUbMlxxZPDAjRsJFmG08ajuU1RV3PaBcOiq+lOXEZOnz59NIPmiy++MKVBBJEI9FXmiczHrBAR9ZFRP/2mCA/oDBv/51KdVQMM+/WUYuXwECLzsfEc2twiepfm+yzPz7bDbtHnkoycxCFJ1u3T41FXs9tNzskJMjGn9+TI3m+7R2zPfbJY9xMzcRcD7d69e1jhAUmSsG/fvnhPRRAxoyiGpLoVRDIY2b/UtGOpxojqxv9g2U4U5zpw0Zj+MR9TZgjqyWHeDkddZyVowEakEsEbruZvaAs8h77lBSlqVWisrACW7lh50sWouHMkSLIMQYh7WO6Dvgabvk0eSfHk6CWkm3XrM+Wpjftq/vTTTygrKwu5zcGDB9GtW7d4T0UQMUPhah2Hv10y0rRjqcaIvrv6ZefhuIwcvdKfv/Gtdjj+57QCkmxdNSMi81E8ORLsfnVErCwoo7wz1hyIpzuiLCdERdMMeC62sOZE5xnp3xWXRykG+tFPu9GnNB+TT+xruegBM4jr7Tv99NMjUlfLyckhdTUipcgMZOQQUaM+MxeObhdOMVVdjfl7cqALV7NWj5OIeHGCiBSbwMMlSmmlVkbez8QhSdb15OgVzaIhkTL9/t2JS5TgtCtRWLtqGmHjM1NCOi5PTqR5OAUFBVQnh0gpVJSNiAX1mSnIcQAAJh7fC+WF2XEdU1FX8/6b+SrBMcZ0dXLiOo3piBIN2IjUIWieHGsObI0gIydxWDnPNvZwtcSGN+qPrHhy2t8le4ZKSJsa/Ld27VpNRa13794YNmyYmYcniJjxnzEniEjwH6CMGlCGI02uuI7JGNPCBvyL1Eo64QGrqauRDDuRSuxaTk76PINk5CQOUZIta/AqwgPR7yclQaZf7VfcHhkOW3s+faYWAzXFyPnXv/6FRx55BAcOHPBZ3q1bN9x777248cYbzTgNQcQMs/CsD2Fd/A3jYDUHokU9quz3XDJmPcEBFaWwIb1DRGoQBB6tbtGyIUpG0DtjDkZfRI8kW9bg5eJQVxMS8Xx7JaRlxuD21ppyedrD1QDAJsTWZqsT99W88cYbcfPNN2P//v1gjPn8f9++fbj55pvJyCFSjkzqakQM+A9Q1JoD8aDf218QQ5at68lRwtXSZ4BJZBY2nkN9sxt5WfZUNyViEplj0dGxticntnC1RAoPCF7DS+1fXKIEp1+4msW6HFOI6wlZsGABZs+ejbFjx2L+/PnYs2cPXC4XXC4X9uzZg/nz52PMmDF46aWX8MEHH5jVZoKIGv+wIIKIhAAjJ0bVHJVrn//aJy5a8eQo//7NsT0sXyeHZqWJVGETeLS4RWTZQ5essBL0ziQOK0+6xByulsACpzzPaeqdDhuP5jYRDrtvuJrVJtbMIK5wtRdeeAFTpkzB22+/HSDj2KNHD/To0QMXXHABLrroIjz//PO44IIL4mosQcSKf4I3QURCYY4DL95wsvY3z8fnYdl7uBndS3K1vxURAuW5VEMc2oUHrNXhKHUp6B0iUoNqLGQ5yMjpaAg85w39azdqrPw94jguZuGBhBhuHKcVKBVlGRyAFrfoKzxg4y1XtsAM4jJyfv75ZyxatCikTj3Hcfjzn/+M3/zmN/GciiDigurkELHAcRz6lLVXWBfi9OT4o1cI4jnOV0LatLOYA+UXEKlEneF2kienw+GwCfCIMgRH+6BcTEKSfqzwXGy5lYlUgRV0nhzFkPIN97PxmenJictkbGlpQWlp+OriZWVlaGlpiedUBBEXJDxAmIEZOTl69MY3700MtaqENOUXEKlETchOJyNH9vM+ELFhF3i4RdlnmShbuE5OzOFqiZOQ5nllgk6SGASvB0xv5NgFznJ9jhnE9YR0794dP/zwQ9jtvv/+e3Tv3j2eUxFEXEgkPECYgBnqaj7CAzrjm/N6iaxcDNSqM6dE5qMOyNIpJyfRFew7CjJjONTY5rvQwmUhYg1XS6R3SuDbhQfUc9h14Wo2gbessmc8xGXknH322bj99tuxfPnyoNssXboUd955JyZOnBjPqQgiLihcjTADIcZK1nr0nR9j7TLVAq+Gq8naOith5fAQIvPRBmYWnb03giYGzKFveT6a2zypbkbEqF75aJES6J1SJ+j0Ycd6L6PAcxBlOeMiXuLKybn77rvx5ptv4sQTT8TIkSMxcuRIlJWVAQCqqqqwbNky/PTTTyguLsZf/vIXUxpMELHgX4+EIGJB6Sjk8BuGQGbQvIqK8a38m+M4SIxBlr1ynhbLyqEBG5FK1MGfYQ6w1WYEvNA7Yw4OgYdbiu+7m0y4GMPV5EQ9L95CzrLMvN5F5V3Sn4vjuIycyIrLyOnevTs++eQTTJ48GcuWLQvw6DDG0KVLFyxYsIDC1YiUIsuBhR0JIlrUuOZ4UGb4lGfRV3hA+WaqM21WixyQZJZWoUJEZpGoXIVEQkaOOQgCD0my2AcxBDwfY7haojwpHOcjIW30TPIcZ2lZ7liJy8gBgBNPPBGbNm3CnDlz8MUXX2D37t0AgN69e+Oss87Ctddei/z8/DBHIYjEwhh1NkT8xJpQqkeWGSC0/7tdeEA5tsy80qgWm51WjK+4uwyCiImEVIJPMKRIaA52gYeYRp4cnlMmsBhjIdWH/VGEBxLznOuLgRpN+HIc4BZlH1npTCCuHmvPnj3o2bMnCgoKcMcdd+COO+7wWV9XV4frrrsOp512Gq677rqobjZBmInEGOjxI+LFDHU1/f6yLnlWLzwg8LwlPTkU8kmkivT15GTWoDEVKPkiFvsghoDjOCxe/Ss2/VqHWVefFPF+iicl0RLSxoa3wHPwSDKy06gOVSTE9fb17dsXNTU1QdczxrBx40bcdNNNuP/+++M5FUHEBQkPEGZgRp0c/e6yHBiuJnuL3FlRXc2qkq1E5pOOHpGE5Vh0MGxp58nh0NDqwa+Hm6LaT5blhBU4VfOEPJKMssJsw/UeSc64b3xcvyZcJ1xcXIzVq1fjjTfewBtvvBHPqQgiLmQLy00S6YMpnhxZ78lRDCcAWkVqNWTBWiYOyeESqYXjOIweWJ7qZkQF5eSYg83rZUgX9GIy0RAslMwMOABgDKLEMGpAGf57/zkAgKtPHQRAzcnJvPDKpJhsJ5xwAg4cOJCMUxGEITKF2hAmwHOIuk4OYwy/+dsn2t8B4WqqJ8crNiDJSrE263lyMq8DJNKL6RedEHSd1d4XQEkkp3cmfmwCH3d9smSiGjex3PtEpHX8uKUKbaIEQCkFoK+P87sRfQAofZtHzLznNaqcnDVr1mDVqlU+y959910UFBQE3ae5uRkLFixAeXl6zcAQmYXMAAd5cog4icWT0+IWff7W76+fueO8nhyZeT05FuvTKfSGsCpqKE6CIn1ihnJyzMEm8PB4B+npgOp1inbIkchPfkubiKw8AR5R9hE3UD/pvNdblmnf+KiMnA8++ADTp0/3sTRvu+22sPsxxjB9+vToW0cQJiGT8ABhAmqtgWg43Ojy+VtRkFY8NYonR1neLiGtGBMWs3EyUl6UyAzUau4CrPWRp3A1c7ALPDxpJCGd41CG1tF6ZZLxpHgk2aegLqebZFPC1TLrGx+VkXPsscdi6tSpAJTOeN68eZgyZQqyswOTmACA53kUFRVh/Pjx+N3vfhd/awkiRqgYKGEGatXoaNh7yDf5VPIWAJWZ8h01lpDmLRd+QwM2wqqoylFWK+NE74w52G3pJTxQnOcEYK3afGoEgSjLmhEGtHub1HA1vYphtBLYViQqI+e8887Deeedp/3973//G8888wzKyspMbxhBmAmpqxFmwPMcDje2RbVPp3ynz98ujwRO9eT4h6vJqvCAFYuBymkp40tkPkqhQxlaASqLQCGe5qB4ctLHyFGxyq3vXpIL0esJEyVflUz9JJs+XI3jlGgCi/yEmInLLzV37lwUFhaa1RaCSBgyFQMlTIDnOKzccSiqffw9P/uONHs9OQwSg054QBeuJvBIbIR29NCsNGFVlDDSVLciEHpnzMEu8PCIFrzBYbCKF2RE/1LNk/PBsp1ocbXniaptVHNy/EsapDtxFQNVQ9cIwurIzFquYyI9ycuyY2iP4qj28c/hqSgvAMCBMV8PI89xkHR1cqznyaGcHMKaCJonx1pIskxh0iZgF3h4LHh/w2GVMYfe2NpzqMln4k2TuwbgFnV1clQxjyS2MxF0qB7r9ttvB8dx6NOnT6qbQiQZWU7/2FLCGhTkOKLaXvLOhqmzYhznnSXzLmufOVMMH61OjsVm0VRpa4KwGrHkyiUD/9AgIjbsNl9PjtW+jcFgFvPGA8BpR3XDSYPa1Y71wgP6iJdM8eR0mLdv2bJleOaZZyLe9vzzz0dpaSmys7NRWVmJRx55BC6XK+R+Bw4cwI033ohevXrB6XSiV69euPHGG7F///6Q+7lcLsyYMQOVlZXIzs5GaWkpzj//fCxbtizi30eERq9iRRDJRB18qWMwnufac3IYa5fw9IawKRLSnOUkpKnmB2FVVHU1q6EXFiFixz8nR9RCeq1N1I9kAguBMk14IPi1k/xzcqz3SkWN9Z8SE3C73bjmmmvQo0ePsNu++eabGDNmDKqqqrBgwQKsW7cO06ZNw/Tp0zFu3Dg0NTUZ7rdhwwYMGzYMH374IWbNmoVNmzZh1qxZWLhwIY4++mhs2LDBcL+mpiaMGzcODz30EKZNm4Z169ZhwYIFqKqqwpgxY/Dmm2/G9dsJBVlmWmV5goiLKL/8smbkKP/lOa49JyeI8IAg8JabA6T8AsKqCHx6FYskosMm+KqrSRKJoEQF157hKUoy7EE88qIuJJnnrFeQOhbiyslJFx599FHs27cPzz//PC699NKg223fvh3Tpk1Dp06d8Nlnn6GoqAgAcOedd8LlcuHee+/F7bffjpdeeslnP1EUMXnyZBw+fBhLlizBSSedBADo27cvunTpgrFjx+LCCy/EmjVrYLP5XvI//elPWLFiBWbMmIE777wTAFBRUYHPPvsMgwYNwrRp0zB69Gj069fPxCvS8SAJaSJVaJ4cuT1c7UizC0caXUqumCY80J6no3hyrNXBqGF0BGE1eN6a4WqEOTjtPHZWNWp/izKFAUaDfuRjpDT74V9+A8B3IovjYLm80FjI+Kdk/fr1mDlzJp544gl07do15LaPPvooXC4Xrr76as3AUbn55pvhdDrxyiuvYM+ePT7r3nrrLWzatAmjRo3SDByVMWPGYPTo0di4cSPeeecdn3W7d+/G3Llz4XQ6cfPNN/usKyoqwrRp0+ByuTBz5swofzXhDwkPEKYR5XOkenDU/3LgsGrnYTzz6Vo0uzx+dXK8EtICb7lQASkDq2ETmUEsRXqJ9MFhE3xyIUX6FkUFx3E+Yp3++clZuro5gk+OaPq/Uxlt5MiyjGuuuQZjx47FNddcE3JbSZKwYMECAMDpp58esL6wsBAjRoyALMuYP3++z7r33nsv6H4AcMYZZwBAgJHz/vvvQ5ZlDB8+3FCKW93v/fffhyRJIdtPhIaEB4hU4e/JUVmz+wgW/LgzICdHkmXYBOt1MBSuRlgVwaLCA4R5OO2Cdo/T4Vtk4znkOqMMlkrQN59D5AUJ9GGAmfBKZbSR8/TTT2PNmjWYPXt22G23bNmCuro6AMDgwYMNt1GXr1ixwme5KhCQqP1qa2uxbdu2cD+BCAHVySFShWrctLqViQp/xR3/nByZKTkGVutf2uv3EIS1oHC1zCfLLsDlUb6h3208gM9+2ZviFoVmwZ9/g67FudHtlMCJ2EiV3nzUPi3XC0VPxubk7Ny5E/fddx8efvhhVFRUhN1++/bt2r+7dOliuI0a7qbftqmpCdXV1RHtd/DgQbS0tCAnJ8fnOMH20y/fvn07Bg0aZLidy+XyUX5raGgAoHiy5BRoy8uy7K3mbh1de0mSAYu1KZ2x4j1OGlH+bjVh9qXFXvGRgH5DPZ7ixVFDMSQpNe8vYHx/RUkGhw56zzOQTHqHeU6JxrDab2FAStuUSffYaePR4vIgS5efY+XfxZgMmUX5DY/yXkV6fxkYvP/T9gvGim01GD+0KwCW0j4oHJG2K2ONnOuuuw5DhgzB7bffHtH2qmEgCALsdrvhNqpxUl9fH7AfAGRnZ4fcT91X/VvdN9h+giDA6XTC5XL5nNOfmTNnYvr06QHLa2pq0NbWFnS/RCHLMurr6701QKwx89vY3Iy6ulpU88m/HpmIFe9xsnC5XdrEhp4VO2sxom9godA677t7uL4ZAOARPb7ra2uRzVrR1NiINp5DU3MzOAC1dXWork6dkeN/f9tcLhyqqUlJewjzyaR3uLWlBTWHj6BACF3mIdm4XMbfimSRSfdYFl3Yf7AaYoET+Xblu5jKaxsOSWZobY3u/gfrW4IR6f1taW6BJEnaZHiocxyqUybuXa421NTUwJVtPB5ONY2NjeE3QoYaOS+//DK++eYb/PTTTxCEdK/XGp67774bd9xxh/Z3Q0MDevbsidLSUhQUFCS9PbIsg+M4lJaWWubDmp1di86dSlBWmp/qpmQEVrzHycLp2IuysrKA5c++tBKf3TshYHnuATcAwOadPHH4TaJ07twJZSW5KKoWwXGAs0GG086jsLAQZWWlCfgF4TG6v06n8e8m0pNMeocL8hux9kAbTjyqb6qb4kOq35lMusediuoARy7KykowpDfDbaXFlv4eMcbgcPz/9u48PIoi/x/4u7tnMgmEBAIJCaCcEgTxAFEQBQVhBUUU0BWPFXDxYv3qirc/FjzwvlgX13UVvFB3FdRdV3AFQTmUQ3S55L5EEggm5CDXTHf9/pj0ZI6eZCaZzHR33q/nyaN0d01XT3VPd3VVfepQVHkMd28JJ9LybdmyCLJSCpfLBQB17iMtNQVZWVlokXIUGW3bISPVFXF+4ik5OTmi7WxXycnLy8M999yD++67D2eccUbE6fTKgKqqcLvdhq055eXlABAQJMC/ElFRUWH42Xq6cGnDpfOveRsFJtC5XC7fyetPluWE/bBJkpTQ/QcT8LaMmSU/dmC2Mo6ncMdstNzXRcDXTS2w37Wj5rxUFLlmTI6AU1F832+iGJVvcyxrO7PLNexQZHy8bj9u/U2fRGclgITEXzN2KeNObVNxvNwNWZahCcDpsMb9PNI8qpp3motojymS8vWN+/QmCLvt324ZgtYtk2o+T0r4PagukebLnLlvhP/+9784fvw4XnzxRaSmpgb8jRrlfct68ODBgOUAAsbt5OfnG352Xl5eyLapqam+WnF96bKzswO6rumfEy6d//JIxhVReJwMlBIlXHQ1XW10Ne/gaX2eHDPO4E5kRgwqY38ZqS4Ulnm7m3s0+4WQVjXNNxFnzEmojdZZx32lS1YrtG7pfWGuR/u0Otu15IwbNw6DBw82XLd27Vpcf/316NChA1asWBGwrmfPnkhPT0dxcTG2b9+Ok046KST99u3bAQADBgwIWH7OOefgs88+862PJt0///nPetO1bt0aPXr0MNyGIsPJQClR9MpNVrrx2LvaaDbeAaJ6FDOz3V949ZBZ8bfd/jJSXfjf/l8BAB5VwOW011CEJg2LLULnxqmPJEmmuwc1hO1aclq1aoUePXoY/nXs2BEA4HA4ApYD3q5M48aNAwAsW7Ys5HOLi4uxfv16yLKM8ePHB6y76qqrwqYDgKVLlwZspxs/fjxkWcb3339vGFhATzdu3LhmMbaoKamaAO+DFBMGN4u63nipmsDV53VHC785E87o0tb3//6TgQrh/SyHbI8bDFE82O2tPoVqlZKE0kpv0BZV0wLmc7EDjyrgUJrmmAackoUJg7pFlUbyb/2xMNtVchrjoYceQlJSEubPnx9S6Zg7dy6qqqowadIkdO7cOWDdxIkT0bNnT6xduxZr1qwJWLdmzRp89913yM3NxcSJEwPWdenSBTfeeCOqqqrwyiuvBKw7fvw45s2bh6SkJDz00EMxPMrmSbAlh5pQXXN0aEIgySH75ngAgGduGOj7f/95clTNryXHBnMUEMWDzK7IttfC5UB5lQcA4NEElCaqECSK2oRd8PqenIHL+nufWyO9q8hsybGOgoIC5Ofno7CwEIB3QH9+fj7y8/NRVlbm265Hjx54/fXXcezYMYwaNQqrV6/G3r178fzzz2PmzJno378/XnrppZDPdzqdWLhwITIyMjB+/HgsWrQI+/fvx6JFizB+/HhkZGTgo48+gsMR2jtwzpw56N+/P/70pz/h+eefx969e7F69WqMGjUKx44dw+uvv87xODGgCd4IqemEG28DeCtALqeCao9xOGhfdzUZNXMesCWHKBpmnQfUpNmypJQkBRXV3kqOqmpwmHRAfEN5u6s17THJshRx64wk2WNcqL3OkjAGDBiAnJwcXzezQ4cOIScnBzk5OXjuuecCtr3hhhuwevVqZGZmYuzYsejduzdef/11zJgxA6tWrUKrVsYhiE877TRs2rQJY8aMwZ133onc3FzceeedGDNmDDZt2oTTTjvNMF2rVq2watUq/OlPf8Lrr7+O3r174/LLL0dmZiZWrVqFG264IbZfRjOlaYKVHGoydbbkaAIuh4xqj2q43r+7mia8LTkORbZFVwGieDDrhIUUO/5jSuzZktN03dV03opLpNsy8IBl7N+/P6rtBw4ciE8//TTq/XTs2BGvvfZa1OmSk5MxY8YMzJgxI+q0FBmV3dUoRiR4W1wkScLBY2U4UFCKs7q2C7u9JgSSnAqqPBpO75yBS/sHdnf1j66midqbnQ3uL0RxUddLBrKP/UdLcaLS7R2/YrOWHI/ahNHVashRtM6wuxqRhbAlh2LFP7Tmqp/y8PLnW+rvruZQUO1WcVbXdriwT4fAz5Nrx+QIIbzjxySJXV2IImTGSo5W8yKEYmdgz/YorXR7Aw/YsSWniV/EKrJU573Kn/4yz+pYyaFmwRt4ING5IDvwb/LXKyb1dVdLcsio9hgPLK3trlY7tieaN25EzZ0Zr5Uf9/2K73YeSXQ2bMXlVFBZrcKjNv34lXjTJwNtStFUvOUouraZmb3OEqIwGHiAYkWv2AA1b7tQfwhpb+AB1fAcrA084F95ssdbNKJ4MGNLTstkB4b37ZjobNiK/jvqsWEIaW9Y7KZ9JNeiqEjJNpmQmpUcahZUdlejGPF2V/P+vz5hWn0hpJ2KDLeqBdxghvTOqfm82u5qmvAGjpZgvv7QJssOkY8ZKzmaJtCpbctEZ8NWXE5vKH49zL6deJpyMtAa3q7QkW1rlxdt9jpLiMLQGHiAYsQ/DKe3fiLqHZPjUGR4VC2gon3/FWd6P88XeAABn2uHGwxRPEQ6ziCe9OueYsfl8AZw8ah2bMlp+uhqmgC7qxHZEQMPUKz4j5fxDs70Ru8LRxM1lZygrgL+AQf0z1U1AalmmdnuL7x6yKx6dWqd6CyEUOPwZr65cTkVX0uO3SqQalBLf1PQROTPQXaZJ6dZhJAmiqaZlqgu3lYW/R/eblx1dZdRNQGnIsHtCWzJCb7ZyH4TgAbswyRMlh0in3NPaY+Bp2QlOhsBPE04g31z1TmzFf65Zg/SUpy2+2690dWatuK2v6AUhaVVEW0r26Q3ASs51GwwnCfFgiTVhuGUamo5kXZXq+vGLIcENDDPDcYONzuyN/3Ns1la7LU4zGDf3PTq2BoeVYvL+JV4i8cxHTleEfG27K5GRNQM+c+TI0neykhdzfqa5g084NHqbk2UUNvtzWwTsWkCtnuoIHuRo5gDJB68YY55zTQFzY7d1TTNVMfkH0XUytiSQ0QUBcmvAuIbk1NXS47wCzxQV0uOX3c1mKyrgMquN2RyZptbitdM07Fl4IE4VIrTUpw4tVObiLb1n7fNysxTbSQisoCAh6maAAGRtOTUF8ZcrukGJ2C+rgIqu96QyZntoSweM9g3R1UeFV9vy7NdCOl4BKpITnKge3ZaRNv6z9tmZfY6S4iImph/UABvBGlRb+ABRamNoBaOfzc4s2GkKDI7WZbqjHIYb3wx0DTSUpIAwHYVyHgEqogmyqxduqvxCiQiikJACOma6Gr6G2Sjm4KqaUhyKADqHteih42WYL6uN/UFTSBKNLONY+OLgaYx5FTvJMpWCCQUzekYj+hqmhBRzJMDtuQQETU3IVHQRG0LjNFNwaN6u6sBqHtMjn/UNpOFkOYDG5md2QIPqJrma8Gl2GmZ7Ex0FppEPH5jtSim0rDLPDms5BARRSFwnhzvHUN/uDK6KQhRe/NS6uquJvu3EJmrq4AdJ98je1FM9lBmxzDHZpCabJ14WWt3HcVrX26LaFv/bs1NJZoulLLJ7kENxbsWEVEUZMmv73/Nf/UxOfW9SQ5uyTm/V7bv/yX/0NQw1+SbbMkhs5OkuqMcxhvH5DSNjNRknN09M9HZiNi6XUcj2s7bJbhpz5dofsfNPEY0GrwCiYiiIPmFd1ZFYAtMfTeF4EGfM67qH7CuNmibud6iqVrd4a+JEs3/OjQDRldrGu3SkjH72nMSnY2Y88ThfBncKxtds1pFtK1ksjFuDWWddj8iIhPwD++saQKKJDW4JSf4c1UTj8lp6kGxRI1husADDNZBiDxAQjzmVbrn8jMi3tZsIdkbinctIqIo+LeyaEJAlmtvBvWFsK0zhLRc20Lk31pkBpy9ncxOEwI3/PmrRGfDxzvGgo9YzV2kIZtV1Vzni9laRhvKPN8oEZEF+Ley6PMOqEIEREcLp67GkIDuapBMNSZHE6zkkLmpqpmuGI5jI69II12brXujBHO1jDYUKznULNjgWiWT8J/DxtuS463cOJX633zVFV1N8gtoYLZBn/HoSkHUGB5NS3QWAng0rc7rnchfPCYDjYbZ7kENxUoOEVEU/LuS+VpyakIs1/ecVd+YHFEbecBUNXNvdzXeLsi8PCZsyWHYdYq4u5rJovFxnhwiCzHP+xGyOsUv8ICqt+SImkpO0E3hr19sxXd+IUTrHJMj1TyoSZLpZptm1xsyO9VkLTmaJhiRkKLqrmam31hZZnc1IqJmx/8Nlx5dTRMCxeXVyD9eHrDt2qA5EupsyZGlmrkS9G3Mc4fxvpU2zw2YKJiZ5sgBOBkoRcdsLX8yW3KIiJqfgO5qNfPkqJpx4IHgCGl1teRIkuR7MPIPU20GHJNDZucx0wUD7zVjpoHklBiR1hM8Jgs5brZpDBqKlRxqFmxwrZJJ+FdAhBCQauYT6HNSm5AQoMHnXf3d1TTIkmS6ENJm6y9OFMyjmqu7Gq8ZAiJ/9jBddzW25BARNT/+8+T4QkcLgSSHDDXoQSu4Zaeum5gs1XZXM9ts02a7ARMFM10lh3NLESJ/WWW21nKJ0dWIrMM8Px1kdf5BAfyjqyU5lJAuM8E3ibrG5EiSBLeqQZYlSDBX66PZulIQBTPbmBzvZKC8ZigyZhyTY4M6Dis5RETR8G/J0SfJ1DRvS07w2+TggE91zZuhR1erbckxzx2GLTlkduYLIc0XAxTNmBxz/cayuxoRUTPkP0maryVHeFtygt8mB4e1ra8l50hxOSR4Wx7NdIPxzsbN2wWZl9lCSHs4JoeiYLYXSWYbF9pQvAKJiKLgP15Gj66maQJOh2xQyQmOrlb3Zx8/UY2Ne49BMtlkoHwrTWZnvpYcwehqFDHvb6x5HsmNooVakXm+USIiC9ArNUDgmBynIofcFEIqORE89FR5VNMN+lQ5sSGZ3H1XnIlu7dMSnQ0fXjMERD4ZqCbqDkwTb95JrhOdi8ZjJYeIKAr+3dVUISDL3huUQwntwxzaklP/TUwPI22m+4vZBsUSBeuenYastOREZ6NWTeRFar4mDOqGrPSURGejQdhdjYioGQroruZrydHgVOrvrhbJmzp3TbcbM91fOHs7EVF0rh9yClKSHInORoOYbULqhmIlh2zPDm8jyDz8o874R1dzKnJIS05ICOmIW3LMdd5yTA5RdMxz9VKiKLJkutDmkZIYXY3IGvTB4USx4G3G9/6/XrlxqxocBpWcYJGch6omAJN1V9PYkkNEFBVZklBcXoUrnl6S6KxEzWwv2hqKlRyyPU0Ib7QqohiQg+bJcSoyqj0anI7QwANGaetzy8jeprvBeOdw4O2CKFK845AsSyiv8qCiWq1zu58OFeG7nUfilKvIsLsakUXo4yaIYsE/8pkeOjrSlpxIWkN+c0angHE/ZmC2ORyIzM5Ely8liP9zR10vrcxWwQFgugmpG4qVHLI9fdwEUSxIqH3DpQp4u6t5NMMQ0sEcSv3noSxLkGCuhyRV0zjnBxFRlPRbwuIffg67jRl7msgSOE8OkRV4W3ISnQuyC8VvnhwIb2jlao9WE0I6dHv/Uy+SFkVJkgK6xJkBW3KIosOrhQDvCyIAKCmvTnBOosPuakQWwcADFEvBE3UqsuTtriYbd1frktXKL20ELTkSAMlcIaS9lRzeLogiZaLLlxJIVes/E8z4dGKX7mrWDOBNFAUGHqBY2nKwEJ99fxDD+nYEUFvJMequNvKMTrhpeC8AwJt/uCiiz1dkKSBMtRmomoASQVc7IiKqdajwBADvyzErkaXQKRCsiK/myPY0TUCx2i8MmVZphTvg34osw+1RvdHVgm4Kwq8VMadNi4g+34xBMjycJ4coKrxaKFD4M8KMlQmJ3dWIrEETgt3VKGb0G1KV2xsWVJEluD3e6GrBE79pIvoKtj4mx0w3Po7JISJquLpuAyb6qfeRZXt0V2Mlh2xPZeABiqEumd4xNnuOlADwtnL89Mtxw8ADqtawCrZkwjE5Do7JISJqkLruAmZ6oaVjdzUiixBsyaEYuuzszgBqb1q/llQCgOGYHE00bI4myWSTgaoqu6sREUXL5VS8/1PHz6cZKxNmm6utoVjJIdvThDnHOZA1BUcZczq8NzFn0GSgf/vvNmiaaNCAUwmSqaIzsbsaWYLJunkSndMjs95tzDj2xWxdphuKlRyyPe88OXxAo9gI7rWV5PAucAS15Cxau6/BE9GariVHE1AU3i7I3BSTXTdEaS2SANT9otWM5yy7qxFZhMruahRDyU5v5H39nqXfvBxy6JuvaCvYZ3ZpW/PZ5uoq4GFLDlmAJEkhwT+IEumWEb0B1D0mx4znrNnuQQ3FSg7ZHltyKJZqH/algP/IsgTV4K4QzRxNT98wsCaNuQIPiAaOLSKKJ1k2Dnu7YU9BXPNhxjfzlBj6mJy67gMeVYtXdiLG7mpEFuF9QEt0LshupMA6jvemEPyE1cCKgXdMjnluMLx8yArkMLO0P/zeurjmo6HdVMmenrr+3DrXu01YyZEkhN7PLIiVHLK9hka4IqqPQO0bOtmgu1pDyWZryUl0BogiINfxYBbPB0lv6Hg+XpGXIkv455o9YdebsTKhyOyuRmQJmt+s80SxomnC18JxSk66cUtOQ3EANVHUwnUZBYD1u47GLR8elS05VEuWJBSWVYVdn9YiCX++aXAcc1Q/id3VzO3gwYN47LHHMHjwYLRp0wZOpxPt27fH6NGj8dFHH9WZdu3atbjiiiuQmZmJlJQU9OnTB48//jiqqsKfpACQl5eHW2+9FSeffDJcLhdOPvlk3HrrrTh8+HCd6aqqqjB79mz06dMHKSkpyMzMxBVXXIG1a9dGfdwUSuWYHGoCeUXl+K7mwUnUdE8JqeM08Cbh7Q/dyAzGEK8esgK5jsHS3++N37gcVRNwKLxqyKu+Cq+qCbRp6YpTbiJjtnGhDWXLSs7XX3+N7t27Y/bs2Rg2bBi+/PJL/PTTT5g7dy52796Nq666Ctdeey00LbT5+r333sPgwYNx5MgRLFq0CFu2bMGUKVPwyCOP4IILLkBZWZnhPrdt24a+ffvi008/xYsvvojt27fjxRdfxCeffILTTz8d27ZtM0xXVlaGCy64ALNmzcKUKVOwZcsWLFq0CEeOHMHgwYPx3nvvxfS7aY40RlejJrDvaCmAwChrmiZQ5VZx9fNfNuqzebYSRa+u1tSzuraLWz5UjZPnUq1IKjlmO1/sEnjAkegMNIWioiJ4PB688MILuOOOO3zLe/TogfPOOw+9evXC+++/j4suughTp071rd+zZw+mTJmCtm3bYvHixWjdujUAYPr06aiqqsLDDz+MP/7xj/j73/8esD+Px4Px48fj119/xerVq3HeeecBALp27Yrs7Gycf/75mDBhAjZt2gSHI/Arv+uuu7B+/XrMnj0b06dPBwB0794dixcvRm5uLqZMmYKBAweiW7duTfFVNQuMDEWxdvOIU1F8ohqAt0IiRG1XGVUTKC6vbtTn26WrAFE81TUuzqPG73ryPrTa8h0yNUB9FRiPqsFhsnnI7FLJMde3GkOKouDGG28MWd6hQweMGTMGAPDPf/4zYN0TTzyBqqoqTJ482VfB0U2bNg0ulwvz5s3DwYMHA9a9//772L59O84991xfBUc3ePBgDBw4ED/99BP+8Y9/BKw7cOAA5s+fD5fLhWnTpgWsa926NaZMmYKqqio8+eSTUR07BfKGkE50LshOJEnyDcbX/19/ixyLqGh26SpAFE9SHRMYegx6bjQVM76Zp8TRK7zHTxgPeVA1AYfJzhezBb9pKFtWci699FIUFhYiLS3NcH2nTp0AAIWFhb5lqqpi0aJFAIDhw4eHpElPT8eAAQOgaVrImJ4PP/wwbDoAuPjiiwEgpJKzcOFCaJqG/v37Iz09PWy6hQsXQlVVw8+m+nEyUIo1/5nVtZoQ5bLs/f+AZ6mGhpCWJFRUezDj/fiGviWyMqPuavp1Gs+5SFjJIX/688cD7xqPszbj+WKX3gS2rOQ4nc6wFRzAGyAAAPr27etbtnPnThw/fhwA0KtXL8N0+vL169cHLNcDBDRVuqKiIuzevdv4YKhemgZ2V6OYkuXalhz9PqDoLTn+N4YG3iQkANUeFet2x3cSQyIrMwp769EEkhwyPHGM5OFROSaHaik1zx/hu1JqUEzWXc0u8+TYckxOXTweD7780jso2L+L2J49tTHMs7OzDdPm5OSEbFtWVoajR49GlC4/Px/l5eVo0aJFwOeES+e/fM+ePcjNzTXcrqqqKiDyW0lJCQBA0zTD4ApNTdM0CCESsm8jqqpCAkyTHzswWxnHmwRva87ki3qivMqDjFSX9/sQAh6/Vtfvdh1t0Hckasb2AIk5b/XyPV5WCUgSqjxqsy1ru7LrNexRA89Vt9sDl1OBO47nsEdVvdEWE/zd2rWMraai2g0AYZ9DPKoGCdGXU1OWrwRR0zPBnOdOpPlqdpWcefPmIT8/H7fddhsGDBjgW65XDBRFgdPpNEyrV06Ki4tD0gFASkpKnen0tPq/9bTh0imKApfLhaqqqoB9BnvyySfxyCOPhCwvKChAZWVl2HRNRdM0FBcXewf8m2DwZeHxYpw4Ue2rjFLjma2M462srAzFpZWAx4GRfdtD9ErHr8cKUFFRiaMFxwK2bch5pwmByqrqBqdvLE3T8PORX/HXlVtxSnYqemWl8PqxGTtew5UVFSg49iscnhO+ZeXVKpwycLy4NG7n8NFfy1FZUZ7wa8aOZWxFaoW3kuP2eAzPicqqKhwriL7VvinLVxMClZWVCT+HwyktLY1ou2ZVydm9ezfuueceDBo0CC+88EKisxMzDz74IO6++27fv0tKSnDSSSchMzOzzm57TUXTNEiShMzMTFP8sKYVA26pEllZWYnOim2YrYzjLf1wFQorgbS0FHTIbg/A26/amfQL2mRkBGzbkPPOe9Pa3eD0jaVpGo6VVePsHsDtl/SJ+/6p6dnxGk5NLUSbjAxktUv1LSsur0aL5CSktGgRt2vpuKcYaanuhN9z7FjGVuQ9CzZBURyG54TL9XODzpWmLF8hBJxJhxJ+DoeTnJwc0XbNppKTl5eHkSNHokePHli8eHHIF6RXBlRVhdvtNmzNKS8vB4CAIAH+lYiKigrDfevpwqUNl05VVV83NKPABDqXywWXK3QiKVmWE/bDJklSQvfvTwBQFHPkxU7MVMbx5lAUeGrCxOrHL0kCJRVuBM9y09DvR+8OnajvVxOA09E8y7e5sNs1rEgyACngeDQBJDsVeLT4XUsCgMOhmOJ7tVsZW1m4FhcJDT83m7J8G5OvphZpvsyZ+xg7fPgwhg8fjqysLCxbtsywwtC9e3ff/+fn5xt+jh6wwH/b1NRUX023vnTZ2dkBXdf0zwmXzn+5/z4pOt4Q0hwESrEjS95+1P5R+yRJwtafi2IWdjPRkW1UjVEJyVpkWfKNZdOpmoDLqUCNY3Q1jwmjZVHiWX8Yv/XYvpJz4MABDBkyBFlZWVi6dCnatGljuF3Pnj19lZ/t27cbbqMv9x/LAwDnnHNOk6Zr3bo1evToYbgN1U8TjK5GsSXLEjxqaOV5QI9MqDGqnAQ/rMWbd+4G298iyEZkSQqMbojaSo47riGkGV2NDLCWE3e2voPt2rULF1xwAbp3747FixcjNbW2n+6mTZtwySWX+P6tKArGjRsHAFi2bFnIZxUXF2P9+vWQZRnjx48PWHfVVVeFTQcAS5cuDdhON378eMiyjO+//94wsICebty4cVAUpd7jJWOa4Fs1ii1ZkuA2CBOryHLMwm6aoSXHbBPUEdVFNpgM1KNqcDmUuL404LVDRjTWcuLOtpWcrVu3YsiQIejXrx/+9a9/hUQwKywsxBdffBGw7KGHHkJSUhLmz58fUumYO3cuqqqqMGnSJHTu3Dlg3cSJE9GzZ0+sXbsWa9asCVi3Zs0afPfdd8jNzcXEiRMD1nXp0gU33ngjqqqq8MorrwSsO378OObNm4ekpCQ89NBDDfoOyEvTREPnZCQy5G3J0WD0HBOrykmiKzmaALurkaXIsoTguoyqCSQnxbklR2U0Mwplg7k1LceWgQe2bNmCiy66CMeOHcP+/fsxePDgkG2Mws/16NEDr7/+OiZNmoRRo0bh2WefRU5ODj7++GPMnDkT/fv3x0svvRSSzul0YuHChRg6dCjGjx+PuXPnol+/fti4cSOmTZuGjIwMfPTRR3A4Qr/uOXPmYNOmTfjTn/6EpKQkXHnllcjLy8M999yDY8eO4c033+R4nEbalVeMvp0z6t+QKEKyJMETZsxKzFpyzNBdzWQT1BHVxWiWdo+qecfkxLklh70HyN+tI3tjd37ty/NfSyvx06Ei7M4vqSMVNZYtKzlLly7FsWPeuSr+97//RZX2hhtuwCmnnIInn3wSY8eORVlZGbp27YoZM2bgvvvuCxu27rTTTsOmTZvwyCOP4M4778TRo0eRlZWFMWPGYObMmejYsaNhulatWmHVqlV49tln8frrr+Phhx9Gy5YtMXjwYKxatQqDBg2K7uAphCYEumXFP5Q22Zcs6S05BpWcmAUeiM3nNJRaEz2OyCpkSQp5OeDRBJKdCk5UeeKWD1XT4FBYyaFag3LbI6+oNtLuN9vy8Op/twEAslsbz5VIjWfLSs5dd92Fu+66q8HpBw4ciE8//TTqdB07dsRrr70Wdbrk5GTMmDEDM2bMiDot1a/ao8Hp4MMaxY4sw7iSI4RtuqvxbTRZjSKHtuS4VQ0pSQ6UlFfHLR8eTUBhH2nyI0sSVE3z+3ftuvzjxtOIUOPxyY9sz+3RkORg4AaKHT3wgGF3tVhVcszQXY0tOWQhRiGk3R5vJcetxu960jQBhV09yY9iMF6Mmh6vQrK9whNVSGJLDsWQHkI65G2tX3eZ4X2Nu6hGqrCsqlHpG0tlVEKyGEUO7a5W7VHRwqUEvEVvamwFpWDBXSlZ4YkPPvmR7VVWe1jJoZjyjckJfpDx667WJtUVk32VVrhj8jnRUjUBheMKyEK8XYJCu6u5nEpcW0Y9nCeHgiiyFDCHWvB8TtQ0+ORHttcqJQkS+0dTDEUSeCApRt1V8o+X179RE+DbaLIawzE5Hg3OOHcdY1dPCibLbMlJBF6FRERRkmU9hHToOv1GluRU8LuhPRu9r0RNKsgHNbIaxWhMjhr/MZl8QUDBglsZrdySo2oaZv5jQ6KzERHewYiIoiRL3ocn45Yc781r+ZZfcN2QUxq/rwRWcvigRlbiP+6hsKwSP+w7BreagJYcld3VKJAsS6isrg1jbt0qDlBZreK7nUcSnY2IsJJDRBQlRQ4zJge1LTlVbjUm+0rUo5LGwANkMf4tOau35+Ph99YlZAoBldHVKIgiS/hu11FfC44VWnLKq43nlqqM0b0tHngVkv1Z4MeErEUfk2M0F4bekhOrrl6J6rutagIOPqiRhchBY3Ik1I7JiedlxFZQCqa3+ntqftCtMCZn04FCw8qY2xO/SIWNxTsYEVGUJElCWaWnznlyYtXNLFGTgvJBjaxGCRNdLd7RNT28diiIfjqoqreCYIWWHAA4URXamuOJYzj2xmIlh+yPkdUoxvQ5NwzH5NT8/seqFSRRk4KqGvigRpbiH11Nf4Z0e9QERFfTEhYwhMxJsmBLzpXndkVxeXXIck8cJ9ZtLFZyiIiipP/IG1UC9IesWFUQEtmSw+5qZCWy35gcAe+DpVtN0JgcRiYkA77z0wItOanJTpRVhs7T5lHZkkNEZFt6c31wlzSB2paXWL3JTWh3NbaCkoUEhJCuuW4qqr0tOfE8k1VNJCwqIpmbXkFI1O96NFolO1Ba4cZ7K3cFLPdYoRmqBis5ZH8W+DEha2ndwgUgtLuaBPhmtY5VK0jwGIN4UYWAovBBjazDG0K6ZswDvA+Un288mJB5cthdjYzov+fvrdwNAOjZIT2R2amTy6ngRKUbb63YGbBc5ZgcIiL76pLVCoDxmBy9G0KsKgiJqqOzyw1ZjSxLUP0acvRLJ/7d1ThPDoW64pwuIS+tEjXmMhKy7O3uGcxomVnxDkb2xy431EQMx+Ro+picxv283n/FmRjcKzth3Ro0vo0mi/F2V6ttydHFO/CAR+ULAgqlz6/mb0jvnATlpn4SJFQbhItWLRR4wJHoDBARWZVRHUB/MTfwlKxGffawvh1xvLw6YW/6PBq7q5G1eLur1fzD7+VAvFtyNE3AwWuHgjhkOaQlp1Pb1ATlpn6KLKG8OrSSwxDSRETNQF3z5Azs2b7Rn69ItWN84k1jdzWymHAtObIkAZIUt1ZRj6Yx8ACFUJTa8/PcmpdgA3u2xwd/vDiR2QpLliTDiT8ZQprITBh4gJqI0Zgc/U1dLHpJyrKUwHly2F2NrEWWJV9Lql6hueKcLgC80Q7jFfqWE+mSEf/JavWzQ5EltEl1JS5TdZAk4/E3DCFNZBJWiEVP1hX8tlaSvG/qurdPQ1pKUqM/X4rj2+dgfFAjq1Gk2jflelOOPqbAoYR2FWoq3hcEfLyiQLKcuN/zhpDlcC05rOQQmYIm+KBGTSe4JccbjUZg8rBcuJyND1srS1LioqsJdlcja/Fv+dTrM59vPAgAcCjGkaKagqoyuhqFkv1acqxAlmqvmQXf1M6Vw3lyiEyCk7JRPMmSBFWNXX98JdHd1Th4mixEMeiupnMoctyiQrEVlIz4d6e0AlmSUO1RAQBrdx31LVc1YRh0x4xYySFb04TxuAmiWAg+tZSaeQWUGJ1zsiQlLPCAqhmHyCYyK0WWfJGf1KBWG0eYOT+aisT7DgXxRv+zTi3Hf0yO/+nsVjXLtPJbI5dEDaSxJYeaSEaqK6RLmlxzU4jVOSdLiZssjpOBktUosuy7XoK7BcVzTA6RkeAxOWMHdElcZiKghBmTY6XumJwnh2zN26xqjYuRrOV9g7CfiizDo4qYvcVNZOABTVinSwIR4B13ow+K1scNXDWoGwDvA6Zqofk9yH6UoJdWt1/SJ4G5qZ/kNybH/5bm0QQccZ5gt6GskUuiBmLgAYonWfZGnonVKZfIENIAu9yQtThqXjIAtRMWXlAzo7xisa5CZD96S45Vor76z5Pj36rvUTU4LVLJYUsO2Rq7q1E8yZJ3TECsKtaKJMFtjfshUcIpioQlP/6MDhktfEEG9FDOVhv0TfajR1fLP16B7/wG8puVLAPVNS05/rc0jyqgWCQojTWqYkQN5O1yY42LkaxPliV41Nidc1abV4EokfS3y1sOFvq6pjlrHsYC5tAhSgD99/ynQ0WJzkpE/Fty/F8WezTNMhNFs5JDtsZQnhRP+k0hVpUcSQoNhUtExvTfeoHaMTn62AG25FCiWS26mv88OcHd1awy2a01cknUQBoDD1Ac6SGkYxddzVo3RaJE8h8M7euuVrNMkeM3ESOvWDIiS96Kdru0ZFx0WodEZ6dekgS/MTm19zS1JvCAFcYWsZJDtqYKjsmh+FFkqSbwQAwnA7XAjYTIDPTrTgL8uqvJvnXxupZ4xyEj+uTOqibQs0PrRGenXvpLOyBwvkGPqiHJIVuiZZSVHLI1jd3VKI4UWfa25MQquprELjZEDaF3V3M6arurcZ4cSiS5ZlyYt7uX+Z9LJElCtUcFAGz7udC33KMKOB2yJV7AsZJDtsbAAxRPMe+uluAQ0kRWpda8gXb4t+TE61riPYcM6OPCPKo15pnxH5NTUuH2LfdoGpwOdlcjSjjvmJxE54KaC32GaAYeIEocTcDXauOLrhbPrp+8ZsmAXPN77tE0OCwQgln2G5Pjz6MKJDkUS/QyYCWHbE3lPDkUR2t3HcXmg4UxO+c4gSFR9DbsKfAN/tdfOLC7GiWafg5aJTqZ3pJz7ilZAcv1yUDZkkOUYJoQUNh1gOJkV14xAHCeHKIE069ASa/k8IUBJZhHFfh25xHrdFeTJVR7NJyX29637P+9vw6Hi8q9gQcscD2Z/1smagSN0dUoAWJWyZH49pkoFuLVXc0Kb7cpMQ79WoZ1u45CtUh3Nalm3jenX4Vs/e4CHDleXnM9JTBzEWIlh2yNk4FSIsSqJ4IsS+zeTxSlHtlpAIC+J2f4lilxCuLh0azxlp7iT38WcavCEt3VlJqw606HAgD4cd8xAN6xopIkWaJCb/5vmagRNBG7t+pEkYplSw67qxFFR69kPHfjIN+yeLWKelSNlRyqk7clx/zniH4b01ud7n93bc1yyRdEwezM/y0TNYKqxS6cL1F9RpzRCQBiF0JaArurEUXJ6AFSkSWocXgoc6uB3XuIdPrp51at0V1Nv48Fn8+yJNW05CQiV9HhlUi2pmlsyaH4mTCwG4DYnXOKbI3BnURm4pAlBF818Qo84LHIAyzFX2ZaMgBAtUrggZr7mD6hrk6SrNPLwPzfMlEjMPAAxZN+rlk9upp3Et2475YoJhSDB8h4XUtWiZxF8XdR344Y2LN9TQhp8//A6vcxJWj80PET1QCsMR0Ur0SyNY2BByiOFL85OWL1eYnorsb5pcjKHLKE4LM3Xl0/2V2NwpElCRDCMsEp9Hd1RrcCWQJESHup+Zj/WyZqBO8baT6sUXzUtuTE5vPiOku7H1XV+HKALEkxqOB4l8txasmxxqByShyrtOTo94BWKUkh6zgmh8gEGEKa4kk/1WJ1ziVqlnaPxkl0yZo+f3i04XJZBsfkkCl8+O1ewy6VZqO/IE5JUtAiyeFbnuxUIDG6GlHiaRpbcih+9L7LsQs8kLjuanw5QHYSrxDSblWwuxrVywrniFRzH3PIMvxvaQ5Fqul6l6CMRcH83zJRI6gcQE1xpI/PlGI5T04iKjnsrkY2w+5qZAbf7ToKIHat/U1Jv58pshRQyZElCZsOFOJwUXliMhYFXolkaxoHUFMcxbrVMF5zewRTBVtyyLoKSip9D5O6eHVXK6t0W2KsAiWWFTqY+KKrKRL8Lx1ZlrD3SAmWbjqUoJxFjpUcsjVNiJDwh0RNJdYVallOTEuOR2Ulh6yryqOGLFOk+LwwEAJIa+Fs8v2QtbVp6Up0Fuol+3VXu7BPB18XO3359l+OJyprEePTH9maqrG7GsVPrAfrJ25MjsaxbGRZEoDhfTsGLIvXCwNv5Cw+WlHdYtWluSlJfoF07ry0L/p3aweg9mVeh4wWicpaxBz1b0JkXZwMlOIp5i05CZwnhy05ZFWaADJSA9+Ux+uFAefJIbvQ7wHB9wJFkvDs7wZix+HjCchVdHglkq0xuhrFU1OMydE0LaafGQlvd7W475YoJowCDMhS4LiCpuLRGEKa7EFvbQpudZJlCQ5Fhkc1/+Az3sbI1jQOoKY4aooxOYm4j7Alh6zMqAU/XpEKPao1ZrMnqk+4l3aKJEGWAGGBCBu8EsnWGF2N4inWLTmyJCXkRqJqDCFN1mVUSfd2V2v6VlEPu6uRzcmyBEmSLBFFkFeiiSxZsgQjRoxARkYGWrZsiX79+uEvf/lLQrqr2IXKmdspjuxSL+B1Q1amaaFRNWU5Tt3VOE8O2ZwsSQl7ARctXokm8fTTT2PUqFFITk7Gl19+iR9++AEjRozAHXfcgSuuuAIejyfRWbQklYEHKI6aImJOIs5eD7urkYUZRdX0jsmJR+ABwTE5ZGv6bS4BMXGixuhqJrBy5Uo88MAD6N27NxYtWgSn0xtj/+mnn0ZRURH+/ve/4+mnn8bDDz+c4Jxaj6bFvgsRkd2pqsaXA2RZRvOjxSu6GltyqD5W784o62NyYP5ajrW/aZuYNWsWAOCOO+7wVXB006dPBwA888wzqKioiHfWLI8hpMnqEnEbUTUBB68bsihVEwieqobz5JBZWP2ZRJLAMTkUmYKCAqxYsQIAMHz48JD1ubm56NSpE0pKSrB48eI45876GEKaKHrsrkZWphmMKYtfdzUNTnZXozpce36PRGehQQSAJIeMywd0idv11Fis5CTYhg0boGkanE4nunfvbrhNr169AADr16+PZ9ZsgaFwyeoScfaqmsaXA2RZwqAFv6m7q1VUe8fNejSGkKa6XWPRSo4mBAZ0z8RvzjwJkgRLtORwTE6C7dmzBwCQmZkJOUwTd05OTsC2waqqqlBVVeX7d0lJCQBA07SERGarrHbjaEklVMeJhDfLllRUQ4JghLoY0zQNQvB7DSeW34tHE8grLIvZ50Xi19JKKHJsj4PMxc7XsABCjk2CQFlFdZNdS5Pmfo2/Tj0fJeVVprl27FzGVhar8ohX+eqfn3+8HNnpLQL2m6hzK9L9spKTYHqFJCUlJew2LVq0AAAUFxcbrn/yySfxyCOPhCwvKChAZWVlDHIZnfzjFfjsh0NwJR1F4l8GS0BVGY4ejf/3YGeapqG4uLjmjSnfWvq7+pyOOHr0aMw+r1f7ZCxYsS1mnxcJIYABnVw4evQoy9em7HwNTx3aBZ3bKAHXoVvVkKJoTXYtDejaGovW7IAiSagqK8bRytIm2U807FzGVnX1gNjdH+JRvv757ZOTio5tknH06FFUlbvRsZUc03tdNEpLI7u+WMmxgQcffBB33323798lJSU46aSTkJmZibS0tLjnp107De3Tk+tsnSJr0zQNkiSxjA1MHpEV08+7Liu2nxcJTdNQUFDA8rUxO1/Dl4W5Zu4amx3nnCSWncvYqiaPjN3veTzK1z+/d15e+/9ZAE7p0iS7jEhycnJE27GSk2B6JaSuyGnl5eUAgPT0dMP1LpcLLpcrZLksywn7YZMkKaH7p6bHMrY3lq/9sYztj2Vsb821fCM93ub1rZiQHmygoKAgbB/DvLy8gG2JiIiIiCg8VnISrH///pBlGW63O2xgge3btwMABgwYEM+sERERERFZEis5CZaVlYWhQ4cCAJYtWxayfseOHTh06BBatWqFSy65JN7ZIyIiIiKyHFZyTGDmzJkAgL/85S/weDwB655//nkAwL333uuLskZEREREROGxkmMCQ4cOxezZs7F161ZceeWV2LhxI3bu3IkHHngAf//73zF69Gg8+OCDic4mEREREZElsJJjEg899BA+//xzVFRUYNiwYTjrrLPwxRdfYM6cOfjXv/4Fh4OB8IiIiIiIIsEnZxMZNWoURo0alehsEBERERFZGltyiIiIiIjIVljJISIiIiIiW2Elh4iIiIiIbIWVHCIiIiIishVWcoiIiIiIyFZYySEiIiIiIlthJYeIiIiIiGyF8+TYkBACAFBSUpKQ/WuahtLSUiQnJ0OWWY+2I5axvbF87Y9lbH8sY3trzuWrP9/qz7vhsJJjQ6WlpQCAk046KcE5ISIiIiKKvdLSUqSnp4ddL4n6qkFkOZqm4fDhw2jVqhUkSYr7/ktKSnDSSSfh559/RlpaWtz3T02PZWxvLF/7YxnbH8vY3ppz+QohUFpaig4dOtTZisWWHBuSZRmdOnVKdDaQlpbW7C685oZlbG8sX/tjGdsfy9jemmv51tWCo2tenfiIiIiIiMj2WMkhIiIiIiJbYSWHYs7lcmHmzJlwuVyJzgo1EZaxvbF87Y9lbH8sY3tj+daPgQeIiIiIiMhW2JJDRERERES2wkoOERERERHZCis5RERERERkK6zkEBGZ3Jo1a5CbmwtJkrB///5EZ4dijOVLRBR7rORQzCxZsgQjRoxARkYGWrZsiX79+uEvf/kLNE1LdNaalTfffBOSJNX59+OPPxqmXbt2La644gpkZmYiJSUFffr0weOPP46qqqo695mXl4dbb70VJ598MlwuF04++WTceuutOHz4cJ3pqqqqMHv2bPTp0wcpKSnIzMzEFVdcgbVr1zb08G2loqIC06dPx5AhQ7Bz586I01mpHN977z2cf/75vgntBg8ejAULFkR8rFYWbfmuWLGi3mv7k08+CZt+x44duP7665GTk4Pk5GR0794d9957L4qLi+vcb3FxMe677z706NEDycnJyMnJwfXXX48dO3bUmU7TNMydOxf9+/dHy5YtkZGRgREjRmDJkiX1HqsdHDx4EI899hgGDx6MNm3awOl0on379hg9ejQ++uijOtPyGja/hpQvr+E4E0Qx8NRTTwkA4rLLLhMbNmwQO3bsEPfdd58AIMaMGSPcbneis9hszJ8/X6SkpIjc3Nywfz/99FNIugULFghFUcTAgQPFN998I3bv3i2ee+454XA4xIABA0Rpaanh/rZu3Sratm0rsrOzxUcffST27t0rPvroI9G+fXvRtm1bsXXrVsN0paWlYsCAAcLhcIjnnntO7N69W3zzzTdi4MCBQlEUsWDBgph+L1aze/du0bNnT9G5c2fx3//+VwAQAMS+ffvqTGelcrztttsEADF58mSxefNmsXnzZjFp0iQBQNx2220Rf1dW1JDyXb58uXA4HHVe20uXLg2bVv9dWLJkidi7d6+YN2+eSE1NFd26dROHDx82THf48GHRrVs3kZqaKubNmyf27t0rlixZInJzc0VKSopYvny5YTq32y3GjBkjAIj7779f7NixQ6xfv15ceumlAoB46qmnov3KLGXFihXC4XAIl8sl/t//+39i/fr1YteuXeLDDz8Up5xyigAgJk6cKFRVDUnLa9j8Glq+vIbji5UcarRvvvlGABC9e/cW1dXVAeumTp0qAIjHH388QblrfubPny+GDh0aVZrdu3cLl8slsrKyRFFRUcC62bNnCwDi97//fUg6t9stevXqJQCI1atXB6xbtWqVACBOPfVUw0ruTTfdJACI2bNnBywvKioSWVlZwuVyiT179kR1HHby6aefittuu833QBPJQ7CVyvGdd94RAMTIkSND1o0YMUIAEO+++27YY7W6hpTv8uXLRefOnaPeV1FRkWjXrp1ITk4OKYsFCxYIAOLiiy82THvxxRcLACEPunv27BEul0u0a9dOHD9+PCTdY489JgCIqVOnBiyvrq4WvXv3FgDEypUroz4Wq/j4448FAPHnP/85ZN0vv/wiWrVqJQCI1157LWAdr2FraGj58hqOL1ZyqNGGDRsmAIi//vWvIeu2b98uAIi0tDRRXl6egNw1Pw2p5EyZMsX3tibY8ePHhcvlErIsiwMHDgSse/vttwUAce655xp+7sCBAw1vdPv37xeyLAuXy2X44/rAAw+EvZk3Fx6PJ+DfkTwEW6kcu3fvLgCIxYsXh6xbsmSJACB69OgR9litriHl29AHpEcffVQAEL/97W9D1qmqKjp06CAAiFWrVgWs019gdejQwbDF4ZprrjF8iXXixAnfQ55Rq/Grr75a50OZHXz88cdCURRRXFxsuP7aa681/A54DVtDQ8uX13B8cUwONUpBQQFWrFgBABg+fHjI+tzcXHTq1AklJSVYvHhxnHNHkVBVFYsWLQJgXIbp6ekYMGAANE0L6Wf84Ycfhk0HABdffDEA4B//+EfA8oULF0LTNPTv3x/p6elh0y1cuBCqqkZ5RPagKEpU21upHDdu3Ig9e/bA4XBg6NChIemGDBkCp9OJ3bt3Y+PGjWGP2cqiLd/GqKt8ZVnGsGHDAISWr57uwgsvhCyHPi6EOy+WLFmC0tJSdOjQAb169Qqbbvny5SgoKIj2cCzh0ksvRWFhIdLS0gzXd+rUCQBQWFjoW8Zr2DoaUr6NwWu4YVjJoUbZsGEDNE2D0+lE9+7dDbfRL5D169fHM2vNWmlpKR599FGcffbZyMrKQseOHTF8+HC8+uqrqK6uDth2586dOH78OAAY/pj5Lw8uQ31QalOlKyoqwu7duw23oUBWKkc93cknn4yUlJSQdCkpKejcubPhPps7t9uNl156CYMGDUJOTg5ycnJw/vnn49lnn0VZWVnI9idOnMDWrVsBNF35bt26FRUVFRGn69atG5KSkqCqqi0fgAHA6XSGfQAGvAECAKBv376+ZbyGraMh5avjNRw/rORQo+zZswcAkJmZafiWAABycnICtqWmt3HjRnz77bd45JFHsGLFCrz99tto3bo1brvtNpx//vkoKirybetfLtnZ2YafZ1SGZWVlOHr0aETp8vPzUV5eHrLPcOn8l/O8iYyVyrG+dOHySsDhw4fxwQcfYPr06Vi6dCk+/PBD9OnTB/fddx/OOuss7Nu3L2D7ffv2+SJcRnNe+P+7vnSapgXst750kiShffv2hvtsDjweD7788ksAwLRp03zLeQ3bQ7jy1fEajh9HojNA1lZSUgIAhm9ydC1atACAekMcUmz07t0bzz33HKZPnx6wbPjw4bj88svx73//G1OmTMHHH38MoLYMFUWB0+k0/EyjMtTTAeHLX0+np9X/Xd95oygKXC4XqqqqeN5EyErlyN+NhunUqRNmzpyJhx9+OKCMzz//fLhcLrz88suYMGECNmzYAEmSAERXvsHfdX3lFHxeRJqurn02B/PmzUN+fj5uu+02DBgwwLec17A9hCtfgNdwvLElh8hmzjnnnIAKjr+ZM2cCAD755BPs2rUrntkiokbq0aMHZs2aZfgA/PDDD0NRFGzcuBFLly5NQO4oErt378Y999yDQYMG4YUXXkh0dijG6itfXsPxxUoONYreJ9W/L2cwvWncaFAjxdcZZ5zhG/C8evVqALVlqKoq3G63YTqjMvTvjxyu/P27RRilDZdOVVXfpHc8byJjpXLk70bstW/f3jfYWb+2gejKN/i7rq+cGnpe1LVPO8vLy8PIkSPRo0cPLF68GMnJyQHreQ1bW33lWx9ew7HHSg41ih5soKCgwNdnNJg+AC9cYAKKH4fDgXbt2gGojfriXy75+fmG6YzKMDU1FVlZWRGly87ODmgW1z8nXDr/5TxvImOlcqwvXbi8Ut30/vP+EZ26du3q6/YSzXnh/+/60smyjC5dukScTgiBI0eOGO7Trg4fPozhw4cjKysLy5YtM3ww5DVsXZGUbyR4DccWKznUKP3794csy3C73WEHn23fvh0AQvqmUuxVVFTgs88+w4kTJwzXezweHDt2DADQunVrAEDPnj19P8h6WQULV4bnnHNOk6Zr3bo1evToYbgNBbJSOerpDh48aPimsKKiAgcOHDDcZ3P22Wef+a5fI/oDiX5tA0DLli3Rp08fAE1Xvn369Al4cK4v3d69e1FdXQ1ZltGvX7+wx2MXBw4cwJAhQ5CVlYWlS5eiTZs2htvxGramSMsX4DUcb6zkUKNkZWX5YuQvW7YsZP2OHTtw6NAhtGrVCpdcckm8s9fsHDlyBGPGjAkbsnPz5s2+uQ4GDhwIwDuwdNy4cQCMy7C4uBjr16+HLMsYP358wLqrrroqbDoAvn7F+na68ePHQ5ZlfP/994aDFvV048aNi+t8IlZmpXLs378/unXrBo/Hg6+//jok3TfffAO3243u3bub+gYab2PGjMFnn31muK6goACHDh0CAAwaNChgXV3lq2kavvrqq4DtgtOtWLHCsKU+3HlxySWXIDU1FYcPHzZ8SNLTXXjhhcjMzDQ8HrvYtWsXLrjgAnTv3h2LFy9Gamqqb92mTZsC7ou8hq0nmvIFeA3HXaJnIyXrW7FihQAg+vTpI9xud8C6qVOnCgDi0UcfTVDumpd9+/YJAGLSpEmG66+88koBQIwcOTJg+a5du0RSUpLIysoKmfV69uzZAoCYMmVKyOdVV1eLnj17CgBi9erVAetWr14tAIjc3NyQ80IIISZPniwAiCeeeCJgeVFRkcjKyhJJSUli9+7dER13cwBAABD79u0Lu42VyvGtt94yPBeFEGLkyJECgHj77bfDHqvdRFK+AMRFF10kNE0LWXfXXXcJAOLUU08VHo8nYF1hYaFo27atSE5OFnv37g1Yt2DBAgFADBs2zHCfF110kQAg3nvvvYDle/bsES6XS7Rt21YUFRWFpHvkkUcEAHHzzTcHLK+urha9e/cWAMTXX38d9ljtYMuWLSI7O1uMHTtWVFZWhqxfvny5CH4M4zVsHQ0pX17D8cVKDsWE/uN72WWXie+//17s2LFD3H///QKAGD16tOEPK8XewYMHhSRJAoD43e9+J7755huxf/9+8e2334prr71WABC9e/cWeXl5IWnffvttIcuyGDRokFi1apXYs2ePeO6554TD4RD9+/cXJSUlhvvcvHmzyMjIENnZ2WLhwoVi3759YuHChSI7O1tkZGSIzZs3G6YrKSkR/fv3Fw6HQzz33HNiz549YtWqVWLgwIFClmVb3xwjdfToUZGXlyfy8vJ8D8Hr1q3zLTNipXK8+eabBQAxefJksWXLFrFlyxbfA1fwjdWOoi1fRVEEAHHppZeKpUuXin379omNGzeK//u//xMARKdOncS2bdsM97Vs2TKRnJwscnNzxRdffCH27t0r5s2bJ1JTU0WXLl3EL7/8Ypjul19+EV26dBGpqali3rx5Yu/eveKLL74Qubm5Ijk5WSxbtswwndvtFqNHjxYAxAMPPCB27twpNmzYIC699FIBQMyePbvhX5wFbN68WbRr104AEGeccYbo379/yJ9eKQnGa9j8Glq+vIbji5UcipnPP/9cDB8+XKSnp4sWLVqIM888U8yZMyfkjQQ1rR07doiZM2eKwYMHi4yMDKEoimjdurU477zzxPPPPy9OnDgRNu23334rLr/8ctG2bVvhcrlEr169xCOPPCIqKirq3OehQ4fE1KlTRadOnURSUpLo1KmTmDp1qjh06FCd6SoqKsSjjz4qevXqJVwul8jIyBBjxowRa9asadCx203nzp19D79Gf+FYqRzfeecdMWjQIJGamipSU1PFoEGDxDvvvFNvOjuItnwPHToknnrqKTFs2DCRlZUlHA6HaNWqlejXr5+YNWuW+PXXX+vc308//SQmTpwo2rdvL5KSkkTXrl3F3XffbfgW119RUZGYPn266Natm0hKShLt27cXEydODPswpvN4POLPf/6zOPPMM0WLFi1Eenq6GD58uPjPf/5T73djdS+++GKdZVvfdcxr2NwaWr68huNLEkKI+ju1ERERERERWQMDDxARERERka2wkkNERERERLbCSg4REREREdkKKzlERERERGQrrOQQEREREZGtsJJDRERERES2wkoOERERERHZCis5RERERERkK6zkEBERERGRrbCSQ0REREREtsJKDhFRM/T4449DkiTf35tvvpmQfFRWVgbko0uXLjH53FmzZpni+IiIKDFYySEiMpnCwkLMmjULAwYMQHp6OpKSkpCTk4N+/frhhhtuwN/+9jds3769Ufv44x//iLy8PFx99dUxynXDJCcnIy8vD+vWrYvp595zzz31Ht/s2bORkZGBr776Kqb7jqX9+/cHVNb8/1asWBGwbXDFLtYVx0gtXboUGRkZePLJJ+O6XyIif6zkEBGZyLZt29CnTx+88MILGDNmDJYuXYo9e/bgq6++wl133YUNGzbg1ltvxYQJExq1n5YtWyI7OxspKSkxynnDZWdnIzMzM6afmZqaWu/xvffeeygqKsKiRYtiuu9YOumkk0IqgevWrUNeXh7OO++8gG31it306dMBAIMGDUJeXh7Wr18f1zx//PHHKCoqwoIFC+K6XyIif45EZ4CIiGpNnToV+fn5+OCDD/Db3/42YN2pp56KkSNH4qyzzkpQ7uzl3nvvxauvvorJkycnOithKYqC7OxsVFZW+pZlZmYiOzs7ZNvU1FTfHwAkJSUZbtfUpkyZgu+//x633HJL3PdNRKRjJYeIyCSKi4uxZs0aAMCoUaMMt8nOzsZvf/tbLF26NJ5Zs6VJkyZh0qRJic6G7fTv3x/fffddorNBRM0cu6sREZmEpmm+///ll1/CbjdjxgwsXLjQcF15eTmeeOIJnHnmmWjZsiVSUlLQq1cvTJ48GZ9//nnAPoKtWrUKF110EVq1aoW0tDRcdtll2LFjR9jt9+/fj5tvvhmdO3dGUlISMjMzMXr0aHzxxRdh0/zvf//D2LFj0aZNG7Rs2RJnn3023nrrrbDbt2vXLuzYkkmTJgWMPdm/f3/Yz/G3YsWKgHT+FZ1Vq1aFrDt06BCuvfZatGvXDikpKTj77LPx+eef1/m9XH/99cjKykJycjJ69uyJGTNmoLy8PKFjZfwVFhbiwQcfRO/evZGSkoL09HQMHjwYr7/+OlRVDdj297//fchYoMWLF2Po0KFIT08PWF7X8YUbM+T/l5WVFZLXQ4cO4Q9/+AO6d++O5ORkZGRk4OKLLza8Bi6++OKQc+KNN97A6aefjuTkZLRv3x633HILSktLY/p9EpEJCSIiMo0OHToIAGLo0KEiPz8/qrRHjhwRp59+unA6neKJJ54QO3bsEFu3bhV//vOfRVpamgAgPvnkk4A0N954owAgJk+eLH7zm9+ItWvXih07dohnnnlGKIoiOnbsKEpLS0P2tXLlSpGeni4yMzPFu+++K3bu3Cm+/PJLMXDgQAFAPPXUUyFpli9fLlJSUkSbNm3E/Pnzxb59+8T69evFVVddJW666SYBQHTu3DnkmNatW2e47vjx4yIvL0906tRJABD79u0L2ad+fPPnz/ctq6qqEnl5eeKll14SAMSNN97oW1ddXR2w7tJLLxWDBw8Wn332mdi7d6/48MMPRUZGhlAURaxfvz5kf1u3bhVt27YVLpdLvPjii2LPnj1i06ZN4vbbbxcXXnihACAAiLy8PHH06NHQQgxj3759vrRGx+lv5syZvnPIyM6dO8XJJ58sUlNTxdy5c8WePXvE//73P3H77bcLAGL06NGiqqrKt31xcbHIy8sTgwYNEgDErbfeKoYNGyZWrlwp9u7dKx577DEBQCxfvlzk5eWFLa+ZM2eKq6++WuTl5QX87dixQ2RnZxueN2vWrBFt2rQR7du3FwsWLBD79u0T69atExMmTBAAxNSpUwO2LywsDDgnbr75ZvF///d/Ytu2beKHH34Q119/vQAgxo4dG+lXT0QWxUoOEZGJvPrqq76H2ZSUFHHdddeJhQsXipKSknrTjho1SgAQzzzzTMi69957TwAQH3/8ccByvRLQpk0bUVZWFrBu3LhxAoB45513ApYXFRWJ9u3bCwDi22+/DVhXUVEhcnJyhCzLYt26db7l5eXlomPHjgKA+PTTTwPSqKoqzjrrLMMHYyFqH/CN1gkhROfOnaOq5Ojmz58fUskJXgdArF69OmDdnDlzBABx0003haTr16+fACDmzJkTsm7s2LG+z4xWrCo5Ho9H9O3bVwAQ77//fsj66667TgAQ9957b8i6oUOHCgCiY8eOoqKiImBdz549fd9TuPKaOXOm4Xc9ceJEAUBcfPHFQtM03/Ljx4+LnJwcAUCsWbMmII2qquKCCy4QAMTcuXNDPlM/J0aMGBGw3O12i8zMTAFAHDx4MCQdEdkHu6sREZnILbfcgrlz5yIjIwMVFRVYsGABxo8fj7Zt22LYsGF45ZVXUFJSEpJu48aNWLx4MZxOJ2699daQ9RMmTECHDh3gdDoN93v11VejZcuWAcvOPfdcAMCPP/4YsPyNN97AkSNHMGjQIAwcODBgXXJyMiZNmgRN0/DKK6/4ln/00Uf45Zdf0LFjR1x++eUBaWRZxrRp08J/KQmUm5sbEsUs3PeycuVKbNy4EUlJSbjppptCPuuOO+6ISZ769OkTEGQg+O+JJ54Im/bTTz/F5s2bfWO7gv3xj38EALz88ssoKioy/IypU6ciOTk5YNmOHTtCvqdgN998M2bNmhWwbP78+Xj//feRmZmJd955B5Ik+da98cYbyMvLwznnnINBgwYFpJNlGXfeeScA75xP4bphTpkyJeDfDocD/fv3B+DtOklE9sVKDhGRydx+++34+eef8e6772LChAlo3bo13G43li9fjmnTpqF79+7497//HZDmv//9LwCgV69eaNWqVchnOp1O/PLLL7j00ksN99mjR4+QZRkZGQAQ8rCr7+vss882/Kxu3boBAFavXu1b9vXXXwOA7wEz2Kmnnmq4PNGi+V70Y+zVq1dIhRGI3TF+/vnn+PHHH8P+GVVydf5l51+h0J155plISkpCZWUlvvnmG8PPaOhxdOjQIWCczs6dO3HHHXf4JmsNjgSn5/Wcc84x/Dx9eV5eHjZv3my4TTTlR0T2wuhqREQm1KJFC1x33XW47rrroKoqVq9ejQ8++ABvvfUWjh07hmuuuQbbtm1D586dAQAHDhwAgAbPN9O2bduQZQ6H9xYRPBD94MGDAIC//e1vmDdvXkg6fXv/4AmHDh2qM3+JCHUcCaPvRW8NC/5e4nWMnTt3rjNogf4Qb0Q/T4wG+APekNVt27ZFXl6eb9tgsZjTqLq6Gtdccw1OnDiBu+66C6NHj446r+3btw/Y9owzzgjZJpryIyJ7YSWHiMjkFEXBkCFDMGTIENxzzz04++yzUVRUhPfffx8PPPBATPZh9Fa/PtOmTcPtt98e1WcKIaLeT32a4jN1DflemjI/ZtCQ7yTYfffdhx9++AFnnXUWnn766Rjkylgs8kpE1sTuakREJvLEE09g7dq1Ydd369YN11xzDQAEhEzWW3QKCgqaNH/++xJCoEePHmH/unfv7kvTqVOnOvOXn58fdn+KogAI/+b92LFjDTqOWGvMMcaLXnZHjhwxXK+qKn799deAbWPtP//5D+bMmYOWLVvigw8+QFJSUoPy6r+8qfJKRNbFSg4RkYm89tprdc7BAsA36Nu/29DIkSMBANu3bzecA6SiogKXXHIJXnvttUbnUd/XunXrDNcLITBixAjcc889vmVDhw4FAHz//feGaX766aew+0tPTwdgPIYiLy8P5eXlkWW8ienHuGPHDpSVlYWsr+sY40Uvu/Xr1xsO1v/xxx9RXV2N5ORkDBkyJOb7P3z4sG9eopdffhk9e/YMWP/mm2/6vjs9r+Eq/fr5l5OTg759+8Y8r0RkbazkEBGZzNtvv43i4mLDdWVlZfj4448hSRKuvPJK3/J+/fph1KhRcLvdePXVV0PSvfnmm/jiiy9w1llnNTp/N910E7Kzs/Htt99izZo1IesXLFiApUuX4sILL/QtmzBhAjp27IjDhw/jX//6V8D2mqZh7ty5YfeXlpaGrl274sSJE9i+fXvAOqMxQYlywQUXoF+/fqiurjbM18svv5yAXAUaO3YsTjvtNBw9ehTvv/9+yPoXX3wRAPCHP/wBbdq0iem+NU3DDTfc4BtTNnny5JBtJk+e7GuZ08+zDRs2YNWqVSGfNWfOHADAww8/DFnm4wwRBeKvAhGRieiztA8cOBDz58/Htm3bcOjQIWzcuBGvvfYazj77bOzfvx+zZs1Cv379AtK++eab6Nu3Lx5++GE8/fTT2LVrF7Zt24Znn30Wd999N+6//34MGDAAgLdlJz8/HxUVFQCA4uJi5OfnQ1VVqKqK/Px8X0UreNv09HQsWrQI6enpGDt2LN544w3s3bsXW7ZswRNPPIGpU6fijjvuwGWXXebLW0pKCt59912kpKRg0qRJeOutt3DgwAF8//33uOaaa5CWlgYAvn0XFhYGHJs+9mfSpElYvXo19u/fj7/+9a/YuHEjTj75ZADebmJ6l7CysjLD46uoqEB1dbXh8ZWVldV77AUFBb7uaMHbAsA777yDtm3b4v7778ecOXN838sf/vCHOgMChKPvw78LnH6c1dXVAdvqx6y3hOjH6Z9WURQsXLgQJ510ki9c+d69e7F582ZMmzYNCxYswOjRozF79uyQz9X3V1hYGHLcOv/9BZflU089ha+++gpt2rTBHXfcgS1btoT8+dPPszZt2mD8+PFYsGABDhw4gA0bNuCaa67BypUr8fvf/z4g/Lj/eax/V3p+6jrniciGEjpLDxERBTh8+LB49dVXxcSJE0WfPn1EWlqakGVZtGjRQvTs2VP87ne/E6tWrQqbvqysTDz++OOib9++IiUlRWRkZIjzzjtPfPDBBwETLfpPdun/t2/fvoCJJ/3/gifUPHjwoLj99ttFly5dRFJSksjOzhYXXnih+PDDDwP25e/HH38UY8aMEenp6SI5OVn07t1bPPXUU2Lnzp0B+zr33HMD0mmaJp5++mnRrVs34XQ6RadOncT9998vKisrfRM/6n9ut9s3IabRMSxfvtxw3cyZM+s99uB9wWAy0b1794prr71WtG3bVrhcLtGrVy/xzDPPCLfbLQAISZIiPh/C5QeAWL58ecC24Y7ZaBLVX3/9VTzwwAMiNzdXuFwu0apVKzFo0CDx2muvCY/HE9HnGk3sabSdPilply5dwh5L8Dno7+DBg2LatGmia9euIikpSbRu3VoMGzZMfPjhhyH71yd/NTr+us55IrIfSQibh4EhIiIygdLSUqSlpaFNmzYhLVVERBRb7K5GREQUI6tWrcKSJUsM123btg0ADOdzISKi2GIlh4iIKEaWLl2KO++8E263O2SdHtnOaMA9ERHFFis5REREMbRz506MGzcOK1euxMGDB7Fx40ZMmzYN8+bNwzXXXIMbbrgh0VkkIrI9jskhIiKKkYMHD+Ldd9/F559/jv3796OgoADJyck4/fTTMXnyZEyePBmSJCU6m0REtsdKDhERERER2Qq7qxERERERka2wkkNERERERLbCSg4REREREdkKKzlERERERGQrrOQQEREREZGtsJJDRERERES2wkoOERERERHZCis5RERERERkK/8fAfkzIWZ1XMcAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='P', component='SMR',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='ASMR',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='H2_L',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'NGCC', 0): 0.0,\n", - " ('HO', 'NGCC', 1): None,\n", - " ('HO', 'NGCC', 2): None,\n", - " ('HO', 'SMR', 0): 1.0,\n", - " ('HO', 'SMR', 1): None,\n", - " ('HO', 'SMR', 2): None,\n", - " ('HO', 'WF', 0): 1.0,\n", - " ('HO', 'WF', 1): None,\n", - " ('HO', 'WF', 2): None,\n", - " ('HO', 'AqOff', 0): 0.0,\n", - " ('HO', 'AqOff', 1): None,\n", - " ('HO', 'AqOff', 2): None,\n", - " ('HO', 'ASMR', 0): 1.0,\n", - " ('HO', 'ASMR', 1): None,\n", - " ('HO', 'ASMR', 2): None,\n", - " ('HO', 'H2_L_d', 0): 1.0,\n", - " ('HO', 'H2_L_d', 1): None,\n", - " ('HO', 'H2_L_d', 2): None,\n", - " ('HO', 'DAC', 0): 0.0,\n", - " ('HO', 'DAC', 1): None,\n", - " ('HO', 'DAC', 2): None,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'SMRH', 1): None,\n", - " ('HO', 'SMRH', 2): None,\n", - " ('HO', 'AWE', 0): 0.0,\n", - " ('HO', 'AWE', 1): None,\n", - " ('HO', 'AWE', 2): None,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI', 1): None,\n", - " ('HO', 'LiI', 2): None,\n", - " ('HO', 'PV', 0): 0.0,\n", - " ('HO', 'PV', 1): None,\n", - " ('HO', 'PV', 2): None,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PSH', 1): None,\n", - " ('HO', 'PSH', 2): None,\n", - " ('HO', 'H2_L_c', 0): 1.0,\n", - " ('HO', 'H2_L_c', 1): None,\n", - " ('HO', 'H2_L_c', 2): None}" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "X_P : Process Binary\n", - " Size=39, Index=X_P_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('HO', 'ASMR', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('HO', 'ASMR', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'ASMR', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'AWE', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'AWE', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'AWE', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'AqOff', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'AqOff', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'AqOff', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'DAC', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'DAC', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'DAC', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'H2_L_c', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('HO', 'H2_L_c', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'H2_L_c', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'H2_L_d', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('HO', 'H2_L_d', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'H2_L_d', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'LiI', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'LiI', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'LiI', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'NGCC', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'NGCC', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'NGCC', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'PSH', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'PSH', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'PSH', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'PV', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'PV', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'PV', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'SMR', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('HO', 'SMR', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'SMR', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'SMRH', 0) : 0 : 0.0 : 1 : False : False : Binary\n", - " ('HO', 'SMRH', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'SMRH', 2) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'WF', 0) : 0 : 1.0 : 1 : False : False : Binary\n", - " ('HO', 'WF', 1) : 0 : None : 1 : False : True : Binary\n", - " ('HO', 'WF', 2) : 0 : None : 1 : False : True : Binary\n" - ] - } - ], - "source": [ - "milp_cost.X_P.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/sl-mp_epsilon.ipynb b/examples/multiperiod-examples/sl-mp_epsilon.ipynb deleted file mode 100644 index 6ce6585d..00000000 --- a/examples/multiperiod-examples/sl-mp_epsilon.ipynb +++ /dev/null @@ -1,2660 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - Lithium-ion batteries (LiI), Solar Photovoltaics (PV), Wind Farms (WF), Steam Methane Reforming + CCUS SMRH, SMR, Hydrogen Fuel Cells (H2FC), Direct Air Capture (DAC), Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "CH4, CO2, CO2_DAC, CO2_Vent, H2, H2O, Power, Solar, Wind\n", - "\n", - "LiI_Power_stored is generated implicitly as Power stored in LiI " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "$X^B_{b, l,l',r,t}$ - binary for transport of resource r $\\in$ $\\mathcal{R}^{trans}$ between locations\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Trans^{cost}_{b,r,t}$ - transport cost for resource r $in$ $\\mathcal{R}^{trans}$ in time t $\\in$ $\\mathcal{T}^{sch}$ for mode b $\\in$ $\\mathcal{B}$ in \n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "import pyomo.environ as pyo\n", - "from pyearth import Earth\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.utils.data_utils import load_results\n", - "from energiapy.aggregation.dtw import dynamic_warping, dynamic_warping_matrix, dynamic_warping_path, IncludeDTW\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.model.constraints.resource_balance import constraint_specific_network_discharge\n", - "from energiapy.model.constraints.integer_cuts import constraint_block_integer_cut_min, constraint_block_integer_cut_max\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston)\n", - "wind_houston = wind_power_output(data= weather_houston)\n", - "solar_houston = solar_houston[-8760:]\n", - "wind_houston = wind_houston[-8760:]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00']\n", - "ercot = ercot[-8760:]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)])\n", - "ng_price_df = ng_price_df[-365:]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'AWE': low_trl_adv_df,\n", - " 'H2_L_c': med_trl_adv_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'AWE': low_trl_mod_df,\n", - " 'H2_L_c': med_trl_mod_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'AWE': low_trl_con_df,\n", - " 'H2_L_c': med_trl_con_df,\n", - " 'H2_L_d': constant_df\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "bigM = 10**6\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True)\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen',\n", - " block='Resource', store_max=10000, store_min=smallM)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=3516428, fopex=87910,\n", - " vopex=0, store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land=30,\n", - " prod_max=bigM, prod_min=smallM, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW', block='power_gen')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land=50,\n", - " prod_max=bigM, prod_min=smallM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW', block='power_gen')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=smallM, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "H2FC = Process(name='H2FC', conversion={H2: -0.050, Power: 1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='LiI', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage', block='h2_store')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex=0.01, vopex=0.001,\n", - " fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage discharge')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.01248, O2: 0.09987, H2O: -0.11235}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0.1, basis = 'tons', label = 'PEM' )\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# process_list = {LiI, LiI_discharge, WF, PV, SMRH, SMR, DAC,\n", - "# PEM, H2_L_c, H2_L_d, AqOff, PSH, PSH_discharge, NGCC}\n", - "\n", - "process_list = {LiI, LiI_discharge, WF, PV, SMRH, SMR, DAC,\n", - " PEM, PSH, PSH_discharge, NGCC}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'PEM'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[71], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m capex_factor \u001b[39m=\u001b[39m {i: pandas\u001b[39m.\u001b[39mDataFrame(\n\u001b[0;32m 2\u001b[0m advanced_dict[i\u001b[39m.\u001b[39mname][[\u001b[39m'\u001b[39m\u001b[39mCAPEX\u001b[39m\u001b[39m'\u001b[39m]][:horizon]) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m process_list}\n\u001b[0;32m 3\u001b[0m fopex_factor \u001b[39m=\u001b[39m {i: pandas\u001b[39m.\u001b[39mDataFrame(\n\u001b[0;32m 4\u001b[0m advanced_dict[i\u001b[39m.\u001b[39mname][[\u001b[39m'\u001b[39m\u001b[39mFixed O&M\u001b[39m\u001b[39m'\u001b[39m]][:horizon]) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m process_list}\n\u001b[0;32m 5\u001b[0m vopex_factor \u001b[39m=\u001b[39m {i: pandas\u001b[39m.\u001b[39mDataFrame(\n\u001b[0;32m 6\u001b[0m advanced_dict[i\u001b[39m.\u001b[39mname][[\u001b[39m'\u001b[39m\u001b[39mVariable O&M\u001b[39m\u001b[39m'\u001b[39m]][:horizon]) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m process_list}\n", - "Cell \u001b[1;32mIn[71], line 2\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 1\u001b[0m capex_factor \u001b[39m=\u001b[39m {i: pandas\u001b[39m.\u001b[39mDataFrame(\n\u001b[1;32m----> 2\u001b[0m advanced_dict[i\u001b[39m.\u001b[39;49mname][[\u001b[39m'\u001b[39m\u001b[39mCAPEX\u001b[39m\u001b[39m'\u001b[39m]][:horizon]) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m process_list}\n\u001b[0;32m 3\u001b[0m fopex_factor \u001b[39m=\u001b[39m {i: pandas\u001b[39m.\u001b[39mDataFrame(\n\u001b[0;32m 4\u001b[0m advanced_dict[i\u001b[39m.\u001b[39mname][[\u001b[39m'\u001b[39m\u001b[39mFixed O&M\u001b[39m\u001b[39m'\u001b[39m]][:horizon]) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m process_list}\n\u001b[0;32m 5\u001b[0m vopex_factor \u001b[39m=\u001b[39m {i: pandas\u001b[39m.\u001b[39mDataFrame(\n\u001b[0;32m 6\u001b[0m advanced_dict[i\u001b[39m.\u001b[39mname][[\u001b[39m'\u001b[39m\u001b[39mVariable O&M\u001b[39m\u001b[39m'\u001b[39m]][:horizon]) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m process_list}\n", - "\u001b[1;31mKeyError\u001b[0m: 'PEM'" - ] - } - ], - "source": [ - "capex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['CAPEX']][:horizon]) for i in process_list}\n", - "fopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Fixed O&M']][:horizon]) for i in process_list}\n", - "vopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Variable O&M']][:horizon]) for i in process_list}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
CH4scales
00.101786(0, 0)
10.101786(0, 1)
20.101786(0, 2)
30.106696(0, 3)
40.104018(0, 4)
.........
3600.119643(0, 360)
3610.119643(0, 361)
3620.106696(0, 362)
3630.107143(0, 363)
3640.105357(0, 364)
\n", - "

1825 rows × 2 columns

\n", - "
" - ], - "text/plain": [ - " CH4 scales\n", - "0 0.101786 (0, 0)\n", - "1 0.101786 (0, 1)\n", - "2 0.101786 (0, 2)\n", - "3 0.106696 (0, 3)\n", - "4 0.104018 (0, 4)\n", - ".. ... ...\n", - "360 0.119643 (0, 360)\n", - "361 0.119643 (0, 361)\n", - "362 0.106696 (0, 362)\n", - "363 0.107143 (0, 363)\n", - "364 0.105357 (0, 364)\n", - "\n", - "[1825 rows x 2 columns]" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ng_price_df" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# houston = Location(name='HO', processes=process_list, credit={DAC: 100, NGCC: 100}, capacity_factor={PV: weather[['dni']], WF: weather[['wind_speed']]}, price_factor={\n", - "# CH4: ng_price}, scales=scales, label='Houston', capex_factor=capex_factor, vopex_factor=vopex_factor, fopex_factor=fopex_factor, expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "houston = Location(name='HO', processes=process_list, capacity_factor={PV: weather[['dni']], WF: weather[['wind_speed']]}, price_factor={\n", - " CH4: ng_price_df[['CH4']]}, scales=scales, label='Houston', capex_factor=capex_factor, vopex_factor=vopex_factor, fopex_factor=fopex_factor, expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# plot_scenario.capacity_factor(\n", - "# scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n", - "# plot_scenario.capacity_factor(\n", - "# scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n", - "# plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston, resource=H2, fig_size=(9, 5), color='red')\n", - "# plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n", - "# plot_scenario.capex_factor(\n", - "# scenario=scenario, location=houston, process=AWE, fig_size=(9, 5), color='green')\n", - "# plot_scenario.price_factor(\n", - "# scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for H2 discharge**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario_max_H2 = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case', demand={houston: {H2: 0}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "milp_max_H2 = formulate(scenario=scenario_max_H2, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK, Constraints.LAND, Constraints.CREDIT, Constraints.EMISSION}, objective=Objective.MAX_DISCHARGE, objective_resource=H2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint block integer cut min\n", - "constraint block integer cut min\n", - "constraint block integer cut max\n", - "constraint block integer cut max\n" - ] - } - ], - "source": [ - "\n", - "milp_max_H2.constraint_block_integer_cut1 = constraint_block_integer_cut_min(\n", - " instance=milp_max_H2, network_scale_level=0, location=houston, block='h2_prod', number=1, process_set=scenario_max_H2.process_set)\n", - "milp_max_H2.constraint_block_integer_cut2 = constraint_block_integer_cut_min(\n", - " instance=milp_max_H2, network_scale_level=0, location=houston, block='power_gen', number=1, process_set=scenario_max_H2.process_set)\n", - "milp_max_H2.constraint_block_integer_cut3 = constraint_block_integer_cut_max(\n", - " instance=milp_max_H2, network_scale_level=0, location=houston, block='h2_prod', number=3, process_set=scenario_max_H2.process_set)\n", - "milp_max_H2.constraint_block_integer_cut4 = constraint_block_integer_cut_max(\n", - " instance=milp_max_H2, network_scale_level=0, location=houston, block='power_gen', number=4, process_set=scenario_max_H2.process_set)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_max_h2 = solve(scenario=scenario_max_H2, instance=milp_max_H2, solver='gurobi',\n", - "# name=f\"results_slsp_demand\", print_solversteps=True)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - "# y=CostY.CAPEX, location='HO', fig_size=(12, 6))\n", - "# plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - "# y=CostY.VOPEX, location='HO', fig_size=(12, 6))\n", - "# plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - "# y=CostY.FOPEX, location='HO', fig_size=(12, 6))\n", - "# plot_results.cost(results=results_demand, x=CostX.PROCESS_WISE,\n", - "# y=CostY.TOTAL, location='HO', fig_size=(12, 6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - "# y=CostY.CAPEX, location='HO', fig_size=(8, 6))\n", - "# plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - "# y=CostY.VOPEX, location='HO', fig_size=(8, 6))\n", - "# plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - "# y=CostY.FOPEX, location='HO', fig_size=(8, 6))\n", - "# plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - "# y=CostY.TOTAL, location='HO', fig_size=(8, 6))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.schedule(results=results_cost, y_axis='Inv', component='LiI_Power',\n", - "# location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.schedule(results=results_cost, y_axis='P', component='AqOff',\n", - "# location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint global warming potential process\n", - "constraint global warming potential resource\n", - "constraint global warming potential location\n", - "constraint global warming potential network\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint block integer cut min\n", - "constraint block integer cut max\n", - "constraint block integer cut max\n" - ] - } - ], - "source": [ - "\n", - "scenario_cost = Scenario(name='scenario_cost', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case_cost', demand={houston: {H2: 1000}})\n", - "\n", - "\n", - "milp_min_cost = formulate(scenario=scenario_cost, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK, Constraints.EMISSION}, objective=Objective.COST)\n", - "\n", - "\n", - "milp_min_cost.constraint_block_integer_cut1 = constraint_block_integer_cut_min(\n", - " instance=milp_min_cost, network_scale_level=0, location=houston, block='h2_prod', number=1, process_set=scenario_cost.process_set)\n", - "milp_min_cost.constraint_block_integer_cut2 = constraint_block_integer_cut_min(\n", - " instance=milp_min_cost, network_scale_level=0, location=houston, block='power_gen', number=1, process_set=scenario_cost.process_set)\n", - "milp_min_cost.constraint_block_integer_cut3 = constraint_block_integer_cut_max(\n", - " instance=milp_min_cost, network_scale_level=0, location=houston, block='h2_prod', number=3, process_set=scenario_cost.process_set)\n", - "milp_min_cost.constraint_block_integer_cut4 = constraint_block_integer_cut_max(\n", - " instance=milp_min_cost, network_scale_level=0, location=houston, block='power_gen', number=4, process_set=scenario_cost.process_set)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438171 rows, 376855 columns and 1230812 nonzeros\n", - "Model fingerprint: 0xb43f87b0\n", - "Variable types: 376840 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+06]\n", - "Presolve removed 311225 rows and 284953 columns\n", - "Presolve time: 1.96s\n", - "Presolved: 126946 rows, 91902 columns, 389474 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 31544 2.7414264e+12 0.000000e+00 4.032873e+11 5s\n", - " 38330 2.7411373e+12 0.000000e+00 2.021041e+12 10s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 60238 1.2318946e+10 0.000000e+00 0.000000e+00 15s\n", - "\n", - "Root relaxation: objective 1.231895e+10, 60238 iterations, 12.39 seconds (16.67 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.231895e+10 1.2319e+10 0.00% - 15s\n", - "\n", - "Explored 1 nodes (60238 simplex iterations) in 15.24 seconds (19.10 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.23189e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (1.7285e-06) exceeds tolerance\n", - "Best objective 1.231894612834e+10, best bound 1.231894612834e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results_min_cost = solve(scenario=scenario_cost, instance=milp_min_cost, solver='gurobi',\n", - " name=f\"results_slsp_demand\", print_solversteps=True, saveformat='.pkl')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize CO2 output**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario_co2 = Scenario(name='scenario_co2', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case', demand={houston: {H2: 1000}})\n", - "\n", - "\n", - "milp_min_co2 = formulate(scenario=scenario_co2, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, objective=Objective.MIN_DISCHARGE, objective_resource=CO2_Vent)\n", - "\n", - "\n", - "results_min_co2 = solve(scenario=scenario_co2, instance=milp_min_co2, solver='gurobi',\n", - " name=f\"results_slsp_demand\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0xdf90029c\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 8e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 1.95s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 23432 1.4119096e+11 0.000000e+00 1.358819e+10 5s\n", - " 34888 3.2951344e+10 0.000000e+00 1.145675e+09 10s\n", - " 40184 2.2950862e+10 0.000000e+00 2.104277e+10 15s\n", - " 42354 2.2950670e+10 0.000000e+00 2.527586e+09 20s\n", - " 44304 2.1791583e+10 0.000000e+00 1.071954e+11 25s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 79091 1.2318946e+10 0.000000e+00 0.000000e+00 29s\n", - "\n", - "Root relaxation: objective 1.231895e+10, 79091 iterations, 26.12 seconds (40.37 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.231895e+10 1.2319e+10 0.00% - 28s\n", - "\n", - "Explored 1 nodes (79091 simplex iterations) in 28.93 seconds (42.86 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.23189e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (1.6987e-06) exceeds tolerance\n", - "Best objective 1.231894612834e+10, best bound 1.231894612834e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0xea8f2bba\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 7e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 2.01s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 27348 2.1671359e+12 0.000000e+00 5.410583e+11 5s\n", - " 41538 1.3812487e+12 0.000000e+00 4.901773e+11 10s\n", - " 50824 1.1050500e+12 0.000000e+00 2.279534e+11 15s\n", - " 53564 9.0279050e+11 0.000000e+00 1.392265e+12 20s\n", - " 55994 7.5268704e+11 0.000000e+00 1.971704e+10 25s\n", - " 57994 6.5770115e+11 0.000000e+00 8.308717e+10 30s\n", - " 59994 5.9780117e+11 0.000000e+00 3.069701e+10 35s\n", - " 61994 5.4408780e+11 0.000000e+00 1.188406e+10 40s\n", - " 64354 4.8205979e+11 0.000000e+00 4.258569e+10 45s\n", - " 67084 4.0144748e+11 0.000000e+00 2.037487e+11 50s\n", - " 69814 3.5655802e+11 0.000000e+00 5.778809e+09 55s\n", - " 72234 2.1554278e+11 0.000000e+00 5.931991e+09 60s\n", - " 74394 1.5322468e+11 0.000000e+00 1.226094e+09 65s\n", - " 75904 1.2689333e+11 0.000000e+00 1.875772e+09 70s\n", - " 77584 1.0596292e+11 0.000000e+00 2.554576e+09 75s\n", - " 79394 9.2205021e+10 0.000000e+00 1.499701e+09 80s\n", - " 81110 8.4268753e+10 0.000000e+00 1.437768e+09 85s\n", - " 82240 7.8189860e+10 0.000000e+00 1.120672e+09 90s\n", - " 83428 7.0514208e+10 0.000000e+00 5.287522e+09 95s\n", - " 84418 6.5595681e+10 0.000000e+00 1.812850e+09 100s\n", - " 85408 6.3119192e+10 0.000000e+00 1.833148e+09 105s\n", - " 86596 6.1882495e+10 0.000000e+00 1.429900e+09 110s\n", - " 88180 5.5273247e+10 0.000000e+00 1.481791e+09 116s\n", - " 89368 4.9307233e+10 0.000000e+00 1.253321e+10 121s\n", - " 90358 4.6560126e+10 0.000000e+00 2.760885e+09 126s\n", - " 91348 4.3842209e+10 0.000000e+00 8.454628e+10 131s\n", - " 92338 4.2723017e+10 0.000000e+00 9.417558e+09 135s\n", - " 93904 4.1179084e+10 0.000000e+00 1.796418e+09 141s\n", - " 94748 3.9947019e+10 0.000000e+00 3.011812e+09 145s\n", - " 95738 3.8519594e+10 0.000000e+00 1.155916e+09 151s\n", - " 96530 3.7527266e+10 0.000000e+00 1.731535e+09 156s\n", - " 97718 3.6602635e+10 0.000000e+00 2.294084e+10 161s\n", - " 98906 3.5859247e+10 0.000000e+00 1.506337e+09 166s\n", - " 100094 3.4633053e+10 0.000000e+00 2.918084e+10 170s\n", - " 101480 3.3993233e+10 0.000000e+00 1.240221e+09 176s\n", - " 102668 3.2230478e+10 0.000000e+00 5.532170e+11 181s\n", - " 103714 2.9902627e+10 0.000000e+00 1.993211e+09 185s\n", - " 104902 2.8880266e+10 0.000000e+00 2.805659e+10 191s\n", - " 105892 2.8303205e+10 0.000000e+00 4.924857e+09 196s\n", - " 106882 2.7917949e+10 0.000000e+00 2.503345e+09 201s\n", - " 107674 2.7589259e+10 0.000000e+00 1.051046e+09 205s\n", - " 108664 2.7334577e+10 0.000000e+00 1.489191e+09 210s\n", - " 109654 2.7029026e+10 0.000000e+00 2.153884e+09 216s\n", - " 110446 2.6479500e+10 0.000000e+00 1.980883e+09 221s\n", - " 111040 2.5812103e+10 0.000000e+00 4.936884e+08 225s\n", - " 111832 2.5051878e+10 0.000000e+00 8.408564e+08 231s\n", - " 112624 2.4421714e+10 0.000000e+00 3.659925e+09 236s\n", - " 113218 2.3989420e+10 0.000000e+00 3.520796e+09 240s\n", - " 114010 2.3678678e+10 0.000000e+00 1.379446e+09 246s\n", - " 114802 2.3342486e+10 0.000000e+00 2.287225e+09 250s\n", - " 115594 2.3142526e+10 0.000000e+00 1.284531e+09 256s\n", - " 116386 2.2908820e+10 0.000000e+00 9.538788e+09 260s\n", - " 117536 2.2651315e+10 0.000000e+00 6.262859e+09 266s\n", - " 118130 2.2510880e+10 0.000000e+00 1.239166e+09 270s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 159543 1.6569368e+10 0.000000e+00 0.000000e+00 274s\n", - "\n", - "Root relaxation: objective 1.656937e+10, 159543 iterations, 271.03 seconds (523.69 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.656937e+10 1.6569e+10 0.00% - 274s\n", - "\n", - "Explored 1 nodes (159543 simplex iterations) in 274.08 seconds (527.13 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.65694e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (1.9968e-06) exceeds tolerance\n", - "Best objective 1.656936831142e+10, best bound 1.656936831142e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0x5761af5c\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 7e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 1.99s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 26947 2.4602149e+12 0.000000e+00 1.937398e+11 5s\n", - " 40019 1.3204191e+12 0.000000e+00 1.727616e+10 10s\n", - " 50557 9.7014204e+11 0.000000e+00 5.402623e+11 15s\n", - " 55479 7.4986854e+11 0.000000e+00 5.594425e+10 20s\n", - " 57939 6.2286335e+11 0.000000e+00 4.946519e+10 25s\n", - " 60739 5.1691462e+11 0.000000e+00 4.312279e+09 30s\n", - " 63389 4.2022545e+11 0.000000e+00 4.408486e+09 35s\n", - " 65189 4.2022493e+11 0.000000e+00 4.360564e+09 40s\n", - " 66749 3.0545176e+11 0.000000e+00 2.782304e+09 45s\n", - " 68309 1.7256297e+11 0.000000e+00 9.870388e+08 50s\n", - " 69583 1.2950015e+11 0.000000e+00 4.160080e+09 55s\n", - " 70573 1.1583504e+11 0.000000e+00 2.637486e+09 60s\n", - " 71365 1.0698580e+11 0.000000e+00 2.138337e+10 65s\n", - " 72355 9.8599331e+10 0.000000e+00 2.516091e+09 71s\n", - " 73147 9.2594205e+10 0.000000e+00 1.247377e+10 75s\n", - " 74335 8.3314199e+10 0.000000e+00 1.511265e+09 81s\n", - " 75523 7.3647973e+10 0.000000e+00 3.972457e+09 86s\n", - " 76711 6.5336479e+10 0.000000e+00 7.991311e+08 91s\n", - " 77701 5.9232814e+10 0.000000e+00 3.503115e+09 95s\n", - " 78493 5.2289730e+10 0.000000e+00 8.949752e+08 101s\n", - " 79483 4.9577683e+10 0.000000e+00 1.229880e+09 105s\n", - " 80869 4.6521643e+10 0.000000e+00 1.353771e+09 110s\n", - " 82057 4.4333975e+10 0.000000e+00 5.804534e+08 115s\n", - " 83443 4.3756490e+10 0.000000e+00 1.010659e+09 120s\n", - " 84631 4.0484749e+10 0.000000e+00 5.847143e+08 125s\n", - " 85819 3.9644004e+10 0.000000e+00 5.162276e+08 131s\n", - " 87007 3.8989989e+10 0.000000e+00 1.274841e+09 136s\n", - " 87997 3.8413826e+10 0.000000e+00 1.252322e+10 141s\n", - " 88987 3.8045114e+10 0.000000e+00 1.076165e+09 146s\n", - " 89779 3.7723593e+10 0.000000e+00 6.109679e+08 150s\n", - " 90769 3.7232088e+10 0.000000e+00 1.256987e+09 156s\n", - " 91759 3.6780442e+10 0.000000e+00 5.422366e+08 161s\n", - " 92551 3.6378569e+10 0.000000e+00 2.482202e+09 165s\n", - " 93541 3.5948093e+10 0.000000e+00 5.921030e+08 170s\n", - " 94333 3.5654262e+10 0.000000e+00 1.367142e+09 176s\n", - " 95125 3.5273104e+10 0.000000e+00 5.153428e+08 180s\n", - " 96115 3.4689413e+10 0.000000e+00 1.165337e+09 185s\n", - " 97105 3.4292199e+10 0.000000e+00 5.134968e+08 190s\n", - " 98095 3.3799657e+10 0.000000e+00 1.443047e+09 195s\n", - " 99085 3.3098306e+10 0.000000e+00 1.593055e+09 200s\n", - "Concurrent spin time: 0.03s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 109526 2.5481976e+10 0.000000e+00 0.000000e+00 201s\n", - "\n", - "Root relaxation: objective 2.548198e+10, 109526 iterations, 198.45 seconds (406.70 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 2.548198e+10 2.5482e+10 0.00% - 201s\n", - "\n", - "Explored 1 nodes (109526 simplex iterations) in 201.60 seconds (411.61 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 2.5482e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (1.5885e-05) exceeds tolerance\n", - "Best objective 2.548197631984e+10, best bound 2.548197631984e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0x41b23235\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 6e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 2.00s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 31714 2.1514392e+12 0.000000e+00 1.210714e+12 5s\n", - " 46425 1.2902397e+12 0.000000e+00 2.799659e+11 10s\n", - " 54653 9.3273141e+11 0.000000e+00 8.626043e+11 15s\n", - " 57263 9.1942504e+11 0.000000e+00 1.061536e+13 20s\n", - " 59753 9.1055686e+11 0.000000e+00 4.026094e+11 25s\n", - " 61673 9.1055194e+11 0.000000e+00 3.816679e+11 30s\n", - " 63593 9.1054765e+11 0.000000e+00 3.650636e+11 35s\n", - " 65393 9.1052384e+11 0.000000e+00 3.816701e+11 40s\n", - " 67193 7.4671011e+11 0.000000e+00 2.237592e+10 45s\n", - " 68873 6.1331155e+11 0.000000e+00 8.413373e+09 50s\n", - " 70433 5.2040391e+11 0.000000e+00 6.966092e+11 55s\n", - " 71993 4.6231787e+11 0.000000e+00 5.197713e+11 60s\n", - " 73853 3.5860229e+11 0.000000e+00 1.548093e+09 65s\n", - " 75551 1.9214406e+11 0.000000e+00 3.521634e+09 70s\n", - " 76541 1.7894918e+11 0.000000e+00 3.723447e+10 75s\n", - " 77729 1.6436328e+11 0.000000e+00 1.311241e+10 81s\n", - " 78719 1.5113308e+11 0.000000e+00 2.877882e+09 85s\n", - " 79709 1.3441534e+11 0.000000e+00 2.134121e+10 91s\n", - " 80501 1.2282930e+11 0.000000e+00 4.352949e+09 95s\n", - " 81491 1.1164737e+11 0.000000e+00 2.352032e+09 101s\n", - " 82283 1.0514626e+11 0.000000e+00 2.037242e+09 105s\n", - " 83273 9.7833880e+10 0.000000e+00 2.620537e+09 111s\n", - " 83867 9.3409478e+10 0.000000e+00 1.850858e+09 115s\n", - " 84857 8.9724837e+10 0.000000e+00 1.277812e+09 121s\n", - " 85649 8.7303130e+10 0.000000e+00 1.134645e+09 125s\n", - " 86837 8.5108383e+10 0.000000e+00 3.756890e+09 130s\n", - " 87629 8.3467472e+10 0.000000e+00 1.207722e+09 135s\n", - " 88619 8.1472891e+10 0.000000e+00 2.250633e+09 141s\n", - " 89411 7.7616311e+10 0.000000e+00 1.489215e+09 145s\n", - " 90203 7.2980885e+10 0.000000e+00 1.030789e+09 150s\n", - " 91193 6.7317528e+10 0.000000e+00 2.889464e+10 156s\n", - " 92183 6.1475537e+10 0.000000e+00 4.284933e+09 161s\n", - " 93173 5.4565288e+10 0.000000e+00 5.098275e+08 166s\n", - " 93965 4.9800567e+10 0.000000e+00 4.242816e+08 170s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 131037 3.4599621e+10 0.000000e+00 0.000000e+00 175s\n", - "\n", - "Root relaxation: objective 3.459962e+10, 131037 iterations, 172.26 seconds (359.02 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 3.459962e+10 3.4600e+10 0.00% - 175s\n", - "\n", - "Explored 1 nodes (131037 simplex iterations) in 175.68 seconds (364.02 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 3.45996e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (2.7955e-05) exceeds tolerance\n", - "Best objective 3.459962070402e+10, best bound 3.459962070402e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0xe375bb43\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 5e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 2.19s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 19113 2.1251659e+12 0.000000e+00 4.657394e+11 5s\n", - " 31181 1.3444852e+12 0.000000e+00 4.371027e+11 10s\n", - " 42225 1.0889490e+12 0.000000e+00 4.104923e+10 15s\n", - " 48389 8.5327274e+11 0.000000e+00 9.500436e+10 20s\n", - " 50549 7.0300825e+11 0.000000e+00 3.103087e+10 25s\n", - " 52889 6.0472365e+11 0.000000e+00 2.937694e+09 30s\n", - " 54719 5.5297231e+11 0.000000e+00 1.315940e+10 35s\n", - " 56889 4.4723996e+11 0.000000e+00 4.706632e+09 40s\n", - " 58689 3.6093184e+11 0.000000e+00 5.788869e+09 45s\n", - " 60269 3.2739770e+11 0.000000e+00 2.900093e+10 50s\n", - " 61515 2.3599298e+11 0.000000e+00 2.981400e+09 56s\n", - " 62505 2.2462163e+11 0.000000e+00 1.646644e+09 60s\n", - " 63495 2.1151956e+11 0.000000e+00 1.366619e+09 65s\n", - " 64485 1.9645237e+11 0.000000e+00 3.062672e+09 71s\n", - " 65277 1.8731859e+11 0.000000e+00 1.697542e+09 75s\n", - " 66465 1.7384848e+11 0.000000e+00 1.015463e+10 81s\n", - " 67605 1.6371689e+11 0.000000e+00 2.576301e+09 85s\n", - " 68827 1.5126103e+11 0.000000e+00 3.307227e+09 90s\n", - " 69841 1.4806087e+11 0.000000e+00 4.502409e+09 96s\n", - " 70633 1.4454876e+11 0.000000e+00 1.346372e+10 101s\n", - " 71227 1.3251886e+11 0.000000e+00 1.394497e+10 105s\n", - " 72019 1.2039282e+11 0.000000e+00 1.481453e+10 111s\n", - " 72811 1.0807899e+11 0.000000e+00 1.480145e+10 116s\n", - " 73603 9.6761118e+10 0.000000e+00 1.791894e+10 121s\n", - " 74395 8.6337869e+10 0.000000e+00 2.761653e+10 126s\n", - " 74989 7.7183947e+10 0.000000e+00 3.102655e+09 131s\n", - " 75583 7.2932983e+10 0.000000e+00 1.755396e+09 135s\n", - " 76177 6.8319895e+10 0.000000e+00 3.733204e+09 140s\n", - " 77167 6.7036750e+10 0.000000e+00 2.019174e+09 146s\n", - " 77959 6.6124412e+10 0.000000e+00 1.732577e+09 150s\n", - " 78949 6.5148693e+10 0.000000e+00 8.669737e+08 155s\n", - " 79939 6.4137282e+10 0.000000e+00 6.771494e+08 161s\n", - " 80731 6.3403401e+10 0.000000e+00 1.220673e+09 165s\n", - " 81721 6.2487819e+10 0.000000e+00 1.792652e+09 171s\n", - " 82513 6.1678048e+10 0.000000e+00 7.516984e+08 176s\n", - " 83305 6.0828385e+10 0.000000e+00 6.176835e+08 180s\n", - " 84097 6.0074253e+10 0.000000e+00 5.739802e+08 185s\n", - " 85087 5.9107235e+10 0.000000e+00 1.736098e+09 191s\n", - " 85681 5.8354996e+10 0.000000e+00 2.502766e+09 195s\n", - " 86671 5.7708715e+10 0.000000e+00 5.988130e+08 201s\n", - " 87265 5.6828413e+10 0.000000e+00 1.005860e+09 206s\n", - " 88057 5.5986060e+10 0.000000e+00 3.025665e+09 211s\n", - " 88849 5.5285014e+10 0.000000e+00 9.745623e+08 216s\n", - " 89641 5.4986128e+10 0.000000e+00 2.329185e+09 221s\n", - " 90235 5.4588496e+10 0.000000e+00 3.552357e+09 225s\n", - " 91027 5.4259849e+10 0.000000e+00 1.178290e+09 231s\n", - " 91621 5.3914897e+10 0.000000e+00 1.426508e+09 235s\n", - " 92413 5.3675668e+10 0.000000e+00 2.134191e+09 240s\n", - " 93403 5.3196524e+10 0.000000e+00 2.337893e+10 246s\n", - " 94181 5.2754135e+10 0.000000e+00 1.496328e+09 251s\n", - " 94973 5.2512328e+10 0.000000e+00 1.449670e+09 255s\n", - " 95765 5.1889943e+10 0.000000e+00 1.046928e+09 261s\n", - " 96359 5.1526487e+10 0.000000e+00 7.164913e+08 265s\n", - " 97151 5.1145302e+10 0.000000e+00 7.483502e+08 271s\n", - "Concurrent spin time: 0.10s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 137112 4.3830715e+10 0.000000e+00 0.000000e+00 275s\n", - "\n", - "Root relaxation: objective 4.383071e+10, 137112 iterations, 271.60 seconds (429.92 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 4.383071e+10 4.3831e+10 0.00% - 274s\n", - "\n", - "Explored 1 nodes (137112 simplex iterations) in 274.81 seconds (433.07 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 4.38307e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (7.6294e-06) exceeds tolerance\n", - "Best objective 4.383071483223e+10, best bound 4.383071483223e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0xd85303f6\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 4e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 2.84s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 0.0000000e+00 1.095000e+06 2.855928e+09 5s\n", - " 8993 8.0118712e+12 0.000000e+00 1.505007e+08 5s\n", - " 27398 1.3949715e+12 0.000000e+00 1.393530e+10 10s\n", - " 40216 1.0888176e+12 0.000000e+00 4.498971e+10 15s\n", - " 47938 8.7399372e+11 0.000000e+00 6.069229e+11 20s\n", - " 51608 7.7897029e+11 0.000000e+00 1.973710e+11 25s\n", - " 53508 7.7896936e+11 0.000000e+00 1.725127e+11 30s\n", - " 55188 7.7811252e+11 0.000000e+00 1.754821e+11 35s\n", - " 56748 7.7811163e+11 0.000000e+00 1.904971e+11 40s\n", - " 58198 7.7409514e+11 0.000000e+00 3.915685e+11 45s\n", - " 59518 7.7409018e+11 0.000000e+00 3.596167e+11 50s\n", - " 60958 7.7408626e+11 0.000000e+00 3.349703e+11 55s\n", - " 62638 7.7408124e+11 0.000000e+00 3.357828e+11 60s\n", - " 64198 7.7212327e+11 0.000000e+00 4.469745e+10 65s\n", - " 65878 7.4611202e+11 0.000000e+00 5.150437e+11 70s\n", - " 67288 6.8451775e+11 0.000000e+00 4.369183e+10 75s\n", - " 68748 6.4092889e+11 0.000000e+00 7.511741e+10 80s\n", - " 70348 5.8434404e+11 0.000000e+00 6.769235e+11 85s\n", - " 71948 5.3617360e+11 0.000000e+00 1.350637e+11 90s\n", - " 73348 4.9410327e+11 0.000000e+00 2.404741e+10 95s\n", - " 74848 4.9410280e+11 0.000000e+00 2.304054e+10 100s\n", - " 76448 4.9410233e+11 0.000000e+00 2.248444e+10 105s\n", - " 77908 4.2999995e+11 0.000000e+00 9.397200e+09 110s\n", - " 79348 3.0827004e+11 0.000000e+00 7.531871e+09 115s\n", - " 80260 2.8432004e+11 0.000000e+00 1.886787e+09 120s\n", - " 81250 2.7486818e+11 0.000000e+00 1.972208e+10 125s\n", - " 82438 2.6989580e+11 0.000000e+00 3.450195e+09 131s\n", - " 83230 2.6013765e+11 0.000000e+00 2.694849e+09 136s\n", - " 84220 2.4252958e+11 0.000000e+00 1.273193e+10 141s\n", - " 85012 2.3397600e+11 0.000000e+00 4.915940e+09 145s\n", - " 86002 2.0228074e+11 0.000000e+00 3.443628e+10 151s\n", - " 86794 1.8997348e+11 0.000000e+00 4.037767e+11 156s\n", - " 87784 1.8060152e+11 0.000000e+00 1.444978e+10 161s\n", - " 88576 1.7060073e+11 0.000000e+00 1.722109e+10 165s\n", - " 89368 1.6004420e+11 0.000000e+00 3.415328e+10 171s\n", - " 90160 1.5314783e+11 0.000000e+00 9.552009e+09 176s\n", - " 90952 1.4663413e+11 0.000000e+00 1.906953e+10 181s\n", - " 91744 1.3834666e+11 0.000000e+00 9.751337e+09 186s\n", - " 92338 1.3353580e+11 0.000000e+00 1.716211e+10 190s\n", - " 93130 1.2704558e+11 0.000000e+00 1.636415e+10 196s\n", - " 93922 1.2226489e+11 0.000000e+00 3.580258e+10 200s\n", - " 94714 1.1649005e+11 0.000000e+00 3.700904e+10 205s\n", - " 95704 1.0947341e+11 0.000000e+00 8.474801e+09 211s\n", - " 96496 1.0350619e+11 0.000000e+00 1.072951e+10 215s\n", - " 97288 9.7200242e+10 0.000000e+00 2.095461e+09 220s\n", - " 98278 9.1117155e+10 0.000000e+00 9.400801e+09 226s\n", - " 99268 8.9575251e+10 0.000000e+00 2.470163e+09 231s\n", - " 99862 8.3349178e+10 0.000000e+00 3.725854e+09 235s\n", - " 100654 7.6234701e+10 0.000000e+00 2.730606e+09 241s\n", - " 101446 7.5394777e+10 0.000000e+00 1.405345e+09 246s\n", - " 102436 7.3975067e+10 0.000000e+00 1.662729e+09 251s\n", - " 103228 7.3009311e+10 0.000000e+00 1.004219e+09 255s\n", - " 104416 7.1462609e+10 0.000000e+00 1.126054e+10 261s\n", - " 105406 6.9955179e+10 0.000000e+00 1.085197e+09 266s\n", - " 106198 6.8956142e+10 0.000000e+00 1.252694e+09 270s\n", - " 107188 6.7720039e+10 0.000000e+00 1.440577e+09 276s\n", - " 107980 6.6716823e+10 0.000000e+00 1.365677e+09 280s\n", - " 108970 6.5773323e+10 0.000000e+00 7.296426e+09 285s\n", - " 109960 6.5213424e+10 0.000000e+00 7.926526e+08 290s\n", - " 110950 6.4044126e+10 0.000000e+00 5.967995e+08 296s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 144573 5.3286547e+10 0.000000e+00 0.000000e+00 297s\n", - "\n", - "Root relaxation: objective 5.328655e+10, 144573 iterations, 292.66 seconds (544.79 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 5.328655e+10 5.3287e+10 0.00% - 296s\n", - "\n", - "Explored 1 nodes (144573 simplex iterations) in 296.86 seconds (547.94 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 5.32865e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 5.328654713283e+10, best bound 5.328654713282e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0x1a00230a\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 3e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 4.62s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 0.0000000e+00 1.095000e+06 2.855928e+09 7s\n", - " 8954 8.0118694e+12 0.000000e+00 1.784396e+08 7s\n", - " 20746 1.7123378e+12 0.000000e+00 2.095710e+12 10s\n", - " 32078 1.2291370e+12 0.000000e+00 4.267683e+11 15s\n", - " 36854 9.7182002e+11 0.000000e+00 6.640832e+10 20s\n", - " 39424 7.6702123e+11 0.000000e+00 9.772184e+09 25s\n", - " 42394 6.3823053e+11 0.000000e+00 1.680343e+10 30s\n", - " 44754 5.7793043e+11 0.000000e+00 2.126643e+10 35s\n", - " 46994 4.8095245e+11 0.000000e+00 3.583664e+10 40s\n", - " 49034 4.1191869e+11 0.000000e+00 5.723470e+09 45s\n", - " 50474 4.1159096e+11 0.000000e+00 1.064695e+09 50s\n", - " 51884 3.5432849e+11 0.000000e+00 1.587442e+09 56s\n", - " 52754 3.4420642e+11 0.000000e+00 2.117222e+09 61s\n", - " 53924 3.4199551e+11 0.000000e+00 1.542657e+10 66s\n", - " 55074 3.3981751e+11 0.000000e+00 2.853136e+10 70s\n", - " 55874 3.3063101e+11 0.000000e+00 2.435716e+09 75s\n", - " 57016 3.2639011e+11 0.000000e+00 1.487920e+10 80s\n", - " 58204 3.1306301e+11 0.000000e+00 3.259198e+09 86s\n", - " 58996 2.9453634e+11 0.000000e+00 1.303190e+10 91s\n", - " 59590 2.8723315e+11 0.000000e+00 6.070873e+09 95s\n", - " 60580 2.7447132e+11 0.000000e+00 5.253221e+09 100s\n", - " 61570 2.6203738e+11 0.000000e+00 6.640581e+09 106s\n", - " 62560 2.4733349e+11 0.000000e+00 1.839817e+10 111s\n", - " 63352 2.2969032e+11 0.000000e+00 1.295663e+10 115s\n", - " 64342 2.0780079e+11 0.000000e+00 5.881472e+09 121s\n", - " 64936 1.8205778e+11 0.000000e+00 7.122024e+10 125s\n", - " 65728 1.5406306e+11 0.000000e+00 3.973243e+09 130s\n", - " 66520 1.4083133e+11 0.000000e+00 4.689324e+10 136s\n", - " 67312 1.2979384e+11 0.000000e+00 2.163478e+10 140s\n", - " 68302 1.2122901e+11 0.000000e+00 4.258706e+09 145s\n", - " 69094 1.1372608e+11 0.000000e+00 6.097403e+09 151s\n", - " 69886 1.0753119e+11 0.000000e+00 1.615157e+10 157s\n", - " 70480 1.0284665e+11 0.000000e+00 6.288747e+09 161s\n", - " 71272 9.7624724e+10 0.000000e+00 1.683176e+09 166s\n", - " 72064 9.1498063e+10 0.000000e+00 1.319901e+10 171s\n", - " 72658 8.6653214e+10 0.000000e+00 1.290161e+10 176s\n", - " 73450 8.2500606e+10 0.000000e+00 5.410420e+09 181s\n", - " 74242 8.0753620e+10 0.000000e+00 1.647938e+09 185s\n", - " 75034 7.9166454e+10 0.000000e+00 1.450558e+09 191s\n", - " 75826 7.8172777e+10 0.000000e+00 5.269943e+09 196s\n", - " 76420 7.7448526e+10 0.000000e+00 1.283422e+09 200s\n", - " 77212 7.6455259e+10 0.000000e+00 2.264859e+09 205s\n", - " 78004 7.5982440e+10 0.000000e+00 1.436824e+09 210s\n", - " 78796 7.5484374e+10 0.000000e+00 1.086012e+09 216s\n", - "Concurrent spin time: 0.05s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 119783 6.3398080e+10 0.000000e+00 0.000000e+00 219s\n", - "\n", - "Root relaxation: objective 6.339808e+10, 119783 iterations, 213.38 seconds (386.39 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 6.339808e+10 6.3398e+10 0.00% - 219s\n", - "\n", - "Explored 1 nodes (119783 simplex iterations) in 220.30 seconds (389.58 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.33981e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (3.1590e-06) exceeds tolerance\n", - "Best objective 6.339808035630e+10, best bound 6.339808035629e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint block integer cut min\n", - "constraint specific network discharge\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 438151 rows, 376823 columns and 1230757 nonzeros\n", - "Model fingerprint: 0x17e307fc\n", - "Variable types: 376808 continuous, 15 integer (15 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 2e+07]\n", - "Presolve removed 311205 rows and 284921 columns\n", - "Presolve time: 2.50s\n", - "Presolved: 126946 rows, 91902 columns, 415751 nonzeros\n", - "Variable types: 91891 continuous, 11 integer (11 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 14280 2.3926506e+12 0.000000e+00 5.953981e+11 5s\n", - " 28088 1.3224144e+12 0.000000e+00 1.597744e+10 10s\n", - " 38308 1.0599697e+12 0.000000e+00 1.011926e+10 15s\n", - " 45220 8.2359542e+11 0.000000e+00 6.788776e+11 20s\n", - " 48880 6.0823488e+11 0.000000e+00 1.799286e+10 25s\n", - " 51650 5.0456084e+11 0.000000e+00 2.135634e+09 30s\n", - " 54200 4.8654579e+11 0.000000e+00 4.930701e+09 35s\n", - " 56010 4.7881297e+11 0.000000e+00 1.458732e+09 40s\n", - " 57120 4.1433764e+11 0.000000e+00 1.220097e+10 45s\n", - " 58000 4.0026850e+11 0.000000e+00 4.568880e+09 50s\n", - " 59120 3.9484720e+11 0.000000e+00 8.763313e+09 55s\n", - " 60560 3.9484692e+11 0.000000e+00 8.637499e+09 60s\n", - " 61540 3.9077261e+11 0.000000e+00 1.087693e+10 65s\n", - " 62460 3.7556691e+11 0.000000e+00 9.245359e+09 71s\n", - " 63130 3.6662455e+11 0.000000e+00 1.050556e+10 75s\n", - " 64066 3.4658822e+11 0.000000e+00 8.172229e+09 82s\n", - " 64858 3.4573939e+11 0.000000e+00 9.220408e+09 85s\n", - " 66046 3.3192098e+11 0.000000e+00 2.279713e+10 91s\n", - " 66640 3.0967440e+11 0.000000e+00 7.987516e+09 95s\n", - " 67432 2.7564538e+11 0.000000e+00 5.207294e+09 101s\n", - " 68026 2.5530066e+11 0.000000e+00 4.755553e+09 105s\n", - " 68818 2.3312114e+11 0.000000e+00 6.320145e+09 110s\n", - " 69610 2.1389086e+11 0.000000e+00 5.309147e+09 115s\n", - " 70402 1.9749422e+11 0.000000e+00 7.785058e+09 120s\n", - " 71194 1.8376464e+11 0.000000e+00 4.813524e+09 125s\n", - " 72184 1.6784180e+11 0.000000e+00 1.025009e+10 130s\n", - " 72976 1.5572024e+11 0.000000e+00 2.255012e+10 135s\n", - " 73966 1.4290395e+11 0.000000e+00 6.786013e+09 141s\n", - " 74758 1.3451933e+11 0.000000e+00 1.836897e+09 146s\n", - " 75550 1.2654111e+11 0.000000e+00 3.607528e+09 151s\n", - " 76342 1.2008617e+11 0.000000e+00 1.667757e+10 155s\n", - " 77332 1.0393497e+11 0.000000e+00 1.411464e+10 161s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 89305 7.4934725e+10 0.000000e+00 0.000000e+00 165s\n", - "\n", - "Root relaxation: objective 7.493473e+10, 89305 iterations, 161.78 seconds (297.62 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 7.493473e+10 7.4935e+10 0.00% - 165s\n", - "\n", - "Explored 1 nodes (89305 simplex iterations) in 165.64 seconds (300.68 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 7.49347e+10 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (2.6822e-06) exceeds tolerance\n", - "Best objective 7.493472503382e+10, best bound 7.493472503381e+10, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "def boundser(bound: float, i: int):\n", - "\n", - " scenario_cost = Scenario(name='scenario_cost', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case_cost', demand={houston: {H2: 1000}})\n", - "\n", - " milp_min_cost = formulate(scenario=scenario_cost, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, objective=Objective.COST)\n", - " \n", - " milp_min_cost.constraint_block_integer_cut = constraint_block_integer_cut_min(\n", - " instance=milp_min_cost, network_scale_level=0, location=houston, block='power_gen', number=1, process_set=scenario_cost.process_set)\n", - " \n", - " milp_min_cost.constraint_specific_network_discharge = constraint_specific_network_discharge(\n", - " instance=milp_min_cost, network_scale_level=0, bounds={CO2_Vent: bound})\n", - " results_min_cost = solve(scenario=scenario_cost, instance=milp_min_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost0{i}\", print_solversteps=True, saveformat='.pkl')\n", - "\n", - " return milp_min_cost, results_min_cost\n", - "\n", - "\n", - "results_dict = {i: boundser(\n", - " bound=results_min_cost.output['S_network']['CO2_Vent', 0]*(1 - i/10), i=i) for i in range(8)}\n", - "\n", - "# results_dict = {i: boundser(\n", - "# bound=63885.81558354683*(1 - i/10), i=i) for i in range(7)}\n", - "\n", - "# 63885.81558354683\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[1][0].constraint_specific_network_discharge.pprint()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "cost = [results_dict[i][1].output['objective'] /\n", - " (8760*1000*1000) for i in range(8)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[1.4062723890800957,\n", - " 1.8914804008469328,\n", - " 2.908901406374325,\n", - " 3.9497283908702014,\n", - " 5.003506259386561,\n", - " 6.082939170413847,\n", - " 7.237223784965361,\n", - " 8.554192355458587]" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cost\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "co2 = [10*(i) for i in range(8)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[0, 10, 20, 30, 40, 50, 60, 70]" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "co2\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif', 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8, 6))\n", - "plt.grid(alpha=0.4)\n", - "ax.plot(co2, cost, linestyle='--', color='indianred', alpha=0.7)\n", - "ax.scatter(co2, cost)\n", - "plt.xlabel('Reduction in emission (%)')\n", - "plt.ylabel('Levelized cost of hydrogen ($/kg)')\n", - "plt.title('Trade-off between cost and emissions')\n", - "\n", - "plt.rcdefaults()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict = {i: load_results(f\"results_slsp_cost0{i}.pkl\") for i in range(8)}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{('HO', 'AWE', 0): 0.0, ('HO', 'AqOff', 0): 1.0, ('HO', 'DAC', 0): 0.0, ('HO', 'H2_L_c', 0): 1.0, ('HO', 'H2_L_d', 0): 1.0, ('HO', 'LiI', 0): -0.0, ('HO', 'NGCC', 0): 1.0, ('HO', 'PSH', 0): -0.0, ('HO', 'PV', 0): 1.0, ('HO', 'SMR', 0): 1.0, ('HO', 'SMRH', 0): 0.0, ('HO', 'WF', 0): 1.0}\n", - "{('HO', 'AWE', 0): 0.0, ('HO', 'AqOff', 0): 1.0, ('HO', 'DAC', 0): 0.0, ('HO', 'H2_L_c', 0): 1.0, ('HO', 'H2_L_d', 0): 1.0, ('HO', 'LiI', 0): 0.0, ('HO', 'NGCC', 0): 1.0, ('HO', 'PSH', 0): -0.0, ('HO', 'PV', 0): 1.0, ('HO', 'SMR', 0): 1.0, ('HO', 'SMRH', 0): 1.0, ('HO', 'WF', 0): 1.0}\n", - "{('HO', 'AWE', 0): 0.0, ('HO', 'AqOff', 0): 1.0, ('HO', 'DAC', 0): 0.0, ('HO', 'H2_L_c', 0): 7.088683757614854e-06, ('HO', 'H2_L_d', 0): 1.0, ('HO', 'LiI', 0): -0.0, ('HO', 'NGCC', 0): 0.0, ('HO', 'PSH', 0): -0.0, ('HO', 'PV', 0): -0.0, ('HO', 'SMR', 0): 1.0, ('HO', 'SMRH', 0): 1.0, ('HO', 'WF', 0): 1.0}\n", - "{('HO', 'AWE', 0): 0.0, ('HO', 'AqOff', 0): 1.0, ('HO', 'DAC', 0): 0.0, ('HO', 'H2_L_c', 0): 3.02683270627013e-06, ('HO', 'H2_L_d', 0): 1.0, ('HO', 'LiI', 0): -0.0, ('HO', 'NGCC', 0): 0.0, ('HO', 'PSH', 0): -0.0, ('HO', 'PV', 0): -0.0, ('HO', 'SMR', 0): 1.0, ('HO', 'SMRH', 0): 1.0, ('HO', 'WF', 0): 1.0}\n", - "{('HO', 'AWE', 0): 0.0, ('HO', 'AqOff', 0): 1.0, ('HO', 'DAC', 0): 0.0, ('HO', 'H2_L_c', 0): 1.0, ('HO', 'H2_L_d', 0): 1.0, ('HO', 'LiI', 0): -0.0, ('HO', 'NGCC', 0): 0.0, ('HO', 'PSH', 0): -0.0, ('HO', 'PV', 0): -0.0, ('HO', 'SMR', 0): 1.0, ('HO', 'SMRH', 0): 1.0, ('HO', 'WF', 0): 1.0}\n", - "{('HO', 'AWE', 0): 0.0, ('HO', 'AqOff', 0): 1.0, ('HO', 'DAC', 0): 0.0, ('HO', 'H2_L_c', 0): 1.0, ('HO', 'H2_L_d', 0): 1.0, ('HO', 'LiI', 0): -0.0, ('HO', 'NGCC', 0): 0.0, ('HO', 'PSH', 0): -0.0, ('HO', 'PV', 0): -0.0, ('HO', 'SMR', 0): 1.0, ('HO', 'SMRH', 0): 1.0, ('HO', 'WF', 0): 1.0}\n", - "{('HO', 'AWE', 0): 0.0, ('HO', 'AqOff', 0): 1.0, ('HO', 'DAC', 0): 0.0, ('HO', 'H2_L_c', 0): 1.0, ('HO', 'H2_L_d', 0): 1.0, ('HO', 'LiI', 0): -0.0, ('HO', 'NGCC', 0): 0.0, ('HO', 'PSH', 0): -0.0, ('HO', 'PV', 0): 1.0, ('HO', 'SMR', 0): 1.0, ('HO', 'SMRH', 0): 1.0, ('HO', 'WF', 0): 1.0}\n" - ] - } - ], - "source": [ - "for i in range(7):\n", - " print(results_dict[i].output['X_P'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{('CO2_AQoff', 0): 63885.81558354683, ('CO2_Vent', 0): 83204966.41134003, ('H2', 0): 8760000.0, ('O2', 0): 0.0}\n", - "{('CO2_AQoff', 0): 9165953.588749224, ('CO2_Vent', 0): 74884469.77020968, ('H2', 0): 8760000.0, ('O2', 0): 0.0}\n", - "{('CO2_AQoff', 0): 18335404.44354122, ('CO2_Vent', 0): 66563973.12907606, ('H2', 0): 8760000.0, ('O2', 0): 0.0}\n", - "{('CO2_AQoff', 0): 27504959.428255964, ('CO2_Vent', 0): 58243476.48794165, ('H2', 0): 8760000.0, ('O2', 0): 0.0}\n", - "{('CO2_AQoff', 0): 36674514.41297018, ('CO2_Vent', 0): 49922979.846807696, ('H2', 0): 8760000.0, ('O2', 0): 0.0}\n", - "{('CO2_AQoff', 0): 45844069.397684395, ('CO2_Vent', 0): 41602483.205673486, ('H2', 0): 8760000.0, ('O2', 0): 0.0}\n", - "{('CO2_AQoff', 0): 55013624.38239811, ('CO2_Vent', 0): 33281986.564540297, ('H2', 0): 8760000.0, ('O2', 0): 0.0}\n" - ] - } - ], - "source": [ - "for i in range(7):\n", - " print(results_dict[i].output['S_network'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/sl-sp-milp copy 2.ipynb b/examples/multiperiod-examples/sl-sp-milp copy 2.ipynb deleted file mode 100644 index acb480e9..00000000 --- a/examples/multiperiod-examples/sl-sp-milp copy 2.ipynb +++ /dev/null @@ -1,1388 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n", - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n", - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i, stretch= True) for i in range(5)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'PEM': low_trl_adv_df,\n", - " 'H2_L_c': med_trl_adv_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'PEM': low_trl_mod_df,\n", - " 'H2_L_c': med_trl_mod_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'PEM': low_trl_con_df,\n", - " 'H2_L_c': med_trl_con_df,\n", - " 'H2_L_d': constant_df\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 43800])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated',\n", - " varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True, varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen',\n", - " block='Resource', store_max=10000, store_min=smallM)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=3516428, fopex=87910,\n", - " vopex=0, store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land=30,\n", - " prod_max=bigM, prod_min=smallM, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW', block='power_gen')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land=50,\n", - " prod_max=bigM, prod_min=smallM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW', block='power_gen')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=smallM, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "H2FC = Process(name='H2FC', conversion={H2: -0.050, Power: 1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='LiI', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage', block='h2_store')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex=0.01, vopex=0.001,\n", - " fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage discharge')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.01248, O2: 0.09987, H2O: -0.11235}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0.1, basis = 'tons', label = 'PEM' , block = 'h2_prod')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, PV, SMRH, SMR, DAC,\n", - " PEM, H2_L_c, H2_L_d, PSH, NGCC}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston, WF: wind_houston}, demand_factor={Power: ercot[['COAST']]}, price_factor={\n", - " CH4: ng_price_df}, scales=scales, label='Houston', expenditure_scale_level=0, demand_scale_level=1, capacity_scale_level=1, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=1,\n", - " network_scale_level=0, demand_scale_level=1, purchase_scale_level=1, label='full_case', demand={houston: {H2: 1000}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 2058738 rows, 1708331 columns and 5707556 nonzeros\n", - "Model fingerprint: 0x8c89e2db\n", - "Variable types: 1708317 continuous, 14 integer (14 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+02, 1e+06]\n", - "Presolve removed 1379375 rows and 1281816 columns\n", - "Presolve time: 1.64s\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 3.73 seconds (2.18 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 0\n", - "\n", - "Model is infeasible\n", - "Best objective -, best bound -, gap -\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n", - "WARNING:pyomo.core:Loading a SolverResults object with a warning status into model.name=\"unknown\";\n", - " - termination condition: infeasible\n", - " - message from solver: \n" - ] - } - ], - "source": [ - "\n", - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'Capex_process'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[68], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m plot_results\u001b[39m.\u001b[39;49mcost(results\u001b[39m=\u001b[39;49mresults_cost, x\u001b[39m=\u001b[39;49mCostX\u001b[39m.\u001b[39;49mPROCESS_WISE,\n\u001b[0;32m 2\u001b[0m y\u001b[39m=\u001b[39;49mCostY\u001b[39m.\u001b[39;49mTOTAL, location\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mHO\u001b[39;49m\u001b[39m'\u001b[39;49m, fig_size\u001b[39m=\u001b[39;49m(\u001b[39m8\u001b[39;49m, \u001b[39m6\u001b[39;49m))\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\multiperiod\\../../src\\energiapy\\plot\\plot_results.py:248\u001b[0m, in \u001b[0;36mcost\u001b[1;34m(results, x, y, location, network_scale_period, fig_size, bar_width, font_size, color, usetex)\u001b[0m\n\u001b[0;32m 232\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Plots the cost of processes, such as capex, vopex, fopex, or total\u001b[39;00m\n\u001b[0;32m 233\u001b[0m \n\u001b[0;32m 234\u001b[0m \u001b[39mArgs:\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 244\u001b[0m \u001b[39m usetex (bool, optional): Defaults to False.\u001b[39;00m\n\u001b[0;32m 245\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 247\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(results, \u001b[39mlist\u001b[39m):\n\u001b[1;32m--> 248\u001b[0m \u001b[39mpass\u001b[39;00m\n\u001b[0;32m 250\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 251\u001b[0m \u001b[39mif\u001b[39;00m y \u001b[39mis\u001b[39;00m CostY\u001b[39m.\u001b[39mCAPEX:\n", - "\u001b[1;31mKeyError\u001b[0m: 'Capex_process'" - ] - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(8, 6))" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Total Costs](plots/total.png)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAysAAAHtCAYAAAAZeeHcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACJnUlEQVR4nO3dd3QU1d8G8Gd3s9n0SioJEBIIhCKC9F4VkJeugChNEAVEBPkploBS7CgCKh1pKtVKL0oTQZReU0BMAgFSSbJJdu/7R9xxN7ub3dTdJM/nnJwDc+fOvTNzp3x35t6RCSEEiIiIiIiI7Izc1hUgIiIiIiIyhcEKERERERHZJQYrRERERERklxisEBERERGRXWKwQkREREREdonBChERERER2SUGK0REREREZJcYrBARERERkV1isEJERERERHaJwUollZOTgxUrVqBPnz6oWbMmnJyc4OTkhODgYHTs2BGTJk3C2rVr8ffff5dpuaNHj4ZMJjP4szf79u0zquOaNWvKvBx73BabN29G165d4e3tDZVKhdDQUDz22GNYvny5ratmUVxcHF599VW0atUKPj4+UCqVcHd3R/369fH4448jOjoau3btQlZWlq2rSnZkzZo1RsfhoUOHbF0tMuHatWsYPXo0atWqBUdHR/j6+qJ58+Z45ZVXcPv2bVtXr9ycOHECwcHBaNmyJVJTU21dnVIbPXo0PDw8bHpdqVOnjtFxr/vr0qWL0fyHDh0yO3953SNQ2ZEJIYStK0HFc+3aNfTr1w9XrlxBSEgIhg0bhjp16kClUuGff/7Bnj17cOzYMWn+devWYeTIkWVS9vHjxxETE4PDhw9j2bJlAAB7a0JJSUnYt28fAODpp58GAKxevRqjR48u03LsbVvMnTsXb775Jtzd3TF58mTUrVsXly5dwpIlSxAYGIj4+Hib1c2SZcuWYerUqcjJyUH37t3RsWNHhISEQK1W4+LFi9i6dSuSkpIAAI6OjsjKyoJCoTBYRmpqKj755BMABRfTOnXqVPBaUFmzZp/Gxsbi2LFjuHv3LqZNmwYAOHjwoMkbFrKdixcvom3btkhPT8egQYPQvXt35OTk4Msvv8TVq1er9D6bPHkylixZAgDYsmULBg8ebOMaldzdu3fh5+cHAGjcuDHOnTtnk3rs2LEDmZmZBtffWbNmoWHDhggICEDPnj0N5r99+zb27t0LAJg3bx4uX76MGjVqYOHChQCAdu3aoW7duhW7EuUkPj5eCr5eeukleHl52bQ+ZUJQpfLgwQNRp04dAUCMHz9eqNVqk/OtXbtWyOVyAUAsX768zOuxevVqAUDYexPS1XH16tXlVoY9bIvk5GTh6OgoAIjvvvvOIO3VV18VtWvXtk3FrPDTTz8JAMLR0VHs3LnT5DyZmZmif//+0nbOy8szmicuLk5KP3jwYDnXmipCcfYp9799GzRokAAgBg4caDD98uXLVX6fHTt2TAQGBoqHH35Y3Lt3z9bVKbWRI0cKNzc3sWTJEltXxeD6a20b6ty5swBg19fF0jh48KC0TeLi4mxdnTLhUGFREZWJtWvXIj4+Hh4eHvj000/h6Ohocr5nnnkGBw4cwNq1ayu4hmQLv/32G3JzcwHA6NfJV199Fc8++6wNamWdOXPmAChos4899pjJeVxdXbFmzRrUqVMHaWlpFVk9IioDv/zyCwDj81NkZCQuXbqEWrVq2aBWFaNt27ZITEy0dTXKzLp162xdBapm2GelktGd8KOiouDs7FzkvCNGjKiIKpEduH//vvRvDw8PgzRPT0+Eh4dXdJWskpWVhZMnTwIAHnnkkSLn9fLyQp8+fSqiWkRUxnTnqMLnJwBo0KABXFxcKrpKRFRJ8MlKJXPv3j0AQHJyssV5W7dujQ8++ACtW7cu72qRjWm1WltXoURSUlKkfj7WtOnJkyejefPmRv1ViMi+CTvr20hElQefrFQy3t7eAAo6lf7+++9Fzuvp6YkZM2agSZMmZucRQmDjxo147LHHEBAQAKVSCR8fH7Rt2xb/+9//pF+9LTl9+jQGDRoEf39/ODk5oVGjRvjwww+tuok+ePAghg4diuDgYDg6OqJGjRro3LkzPvvsM6jV6iLz3rlzB1OmTEGdOnXg5OSEmjVrYvjw4Thz5kyR+dq0aVPk6CFJSUllPlpIeno63n77bTz88MPw8PCAi4sLIiIiMG7cOIv1NUc3ItmYMWOkafp1NtUhOS8vD0uWLEHnzp1Ro0YNadSwESNG4OjRo0WWU3jks4sXL+KZZ55BaGgoHBwcpDRrO/N7eXlJy9qyZQs0Gk2R87dr1w4zZswwGHlNN8pLWFiYNK1r164WR4cBSt72Ll++jOjoaHTo0AG+vr5QKpWoUaMGunbtimXLliE/P99kvi5dupjcP/v370e3bt3g6ekJf39/9OvXD3/++aeULzU1FdOnT5faeYMGDaw+vkwpvC91g0988cUXeOihh+Di4oI6derg+eeflwY2AIArV65g6NCh8Pf3h6urK9q2bYsff/zRYnlqtRqffPIJ2rZtC29vbzg5OaFWrVoYPnw4fv31V6P5S7NPde7cuYPJkyejVq1aUKlUqFWrFiZPnmzwFNJUPb/++muMGDECERERcHZ2houLC+rVq4cJEybg8uXLJvOZGmlozZo1yMzMxGuvvYaIiAg4OTkhMDAQzzzzjFWjNCYlJeGVV15BVFQUXF1d4ebmhoYNG2LKlCmIjY21mN8Uc+3v+PHjGDRoEIKDg6FQKMyObljcOulvF50xY8ZYHLnt6NGjGDFiBEJDQ6FSqaTjcunSpcjLyyuyHP3tn5OTg7lz56JJkyZwc3OT0mbPno3Zs2cb5YmPj8f169cxYsQIBAQEwMPDA23atMHWrVulsrRaLRYvXozGjRvD2dkZNWvWxOTJk02O8mWuXvrMnVtLek3Nzc3F+++/j6ZNm8LFxQU+Pj5o164dli1bBiGEURsoTudrc+1HJz4+3mhdZs+ejfz8fLz33nto1KgRnJ2dUaNGDQwaNAgXLlywumxbuXHjBqZOnYoGDRrA1dUVHh4eeOihh/D666/j7t27RvPv2rXL4uiEEydOtHid1jl58iRGjBghncfc3NzQrFkzTJkyBQcPHjT4EUA3MmLXrl2laWFhYSbP9YX9+OOPGDhwIIKCgqBSqeDv749HH30UGzZsMPlDg7lRGEty3rWKLTvMUPF99NFHUsepkJAQsWvXrhIvKzU1VXTt2lUAEKGhoeKtt94Sy5cvF2+99ZaoV6+eVM7zzz9vlFe/U9vevXtFaGioeOONN8TKlSvFjBkzhLOzswAgJk+ebLZ8jUYjJk+eLAAIHx8f8eqrr4qVK1eKefPmiYYNGwoAolGjRuLmzZsm858/f174+/sLACIyMlK8++67Yvny5eKFF14QXl5eYteuXWY72O/atUusW7dOdOzYUQAQnTt3NkjPzs4W69atE+vWrbPYSd+aDvZ//fWXCAoKEgBEz549xWeffSaWLVsmRo8eLRwcHIRMJhMffvih2fzmHDt2TKxbt05MmDBBqoOu3uvWrRPbt283mP/vv/8WTZo0EQBEw4YNxYIFC8Ty5cvFiy++KFxcXAQA8fLLLwutVmuxnIMHD4oaNWqIyZMni+XLl4tXX31VODk5FbtTn64++Lfz7d9//12sbZCUlCTWrVsnFi5cKC1n1qxZBtthz549BnlK0/b++usvqZxGjRqJefPmiS+//FLMnDlTBAQECACiU6dO4sGDB0Z59+zZI9atWycGDhwodfBct26daNCggXj//ffFokWLRI8ePQQA4eLiIn7//XeRnp4u2rVrJ6ZOnSqWLVsmXnzxRaFUKgUAMWPGjGJtKx3ddmnQoIEAIEaNGiUmTJggunXrJpYuXSrmz58vIiMjBQBRv359ce/ePXHu3DnRuHFj8fbbb4slS5aIwYMHCwBCLpeL77//3mxZN27ckMpp3bq1+Pjjj8Xy5cvF5MmTpTY3depUgzZXkn2q38F+w4YNIjw8XDz33HNixYoVYv78+SI0NFQAEA8//LDIzc01WdcBAwZIgz2MGzdOLF26VLz//vuiX79+AoBwcnISW7ZsMcqnq6/++WLx4sWiWbNmYtiwYWLZsmXiww8/lNpWaGioSElJMbvN9u7dKzw8PIRMJhNDhgwRX3zxhVi6dKkYPHiwkMlkQqVSiU2bNlnYy8ZMtb+NGzcKPz8/MXPmTLF8+XIxadIkoVAojM5nJamTqe0yYcIEg/2YlJQkza/VasW0adOk9v/iiy+K5cuXiwULFkjbrkmTJuLWrVsWy1myZIlo2bKl6Natm1i0aJFYtGiRiIqKEgBEdHS0OHPmjFi3bp2YNWuWlOeHH34QdevWFbNmzRJffPGFGDdunJDJZNL+FEKI8ePHi0GDBokvv/xSREdHS+f11q1bi/z8fIv1KnwdMXVu3bt3rwgJCZGuqdOnT5fOrUVdU9PT00WbNm0MzmsrVqwQb775pggODhZDhw4VnTp1EgBEx44dxbp168Q333xTqvajLzMzU1rfGjVqCADijTfeEL169RKPPfaY+Pzzz8WiRYtE69atBQDh6ekprl+/bnX5ppRnB/uvv/5a2u5DhgwRn3/+ufjss89Ez549BQDh7e0tDh06ZJAnISHB6NxVuF4nTpwocjvqr5tcLheenp5iypQp4vPPPxcLFy6U8gEQkyZNkuaPiYkxatMLFy40ON6OHTtmUIZarRZPPvmkACB8fX3F//73P7FixQoRHR0tnTO7du0qUlNTDfLpytJfzw0bNoi6detK59158+aJkJAQi+ddazBYqWTu3r0rnQR0f82aNRMff/yxuHHjhtXL0Wg0UqDSpEkTowunWq2WRm/p37+/UX79E0SjRo1EbGysQfr69eulGxlzN65vvPGGACCCg4ONbgpzcnJE9+7dBQDxyCOPGI3+9ODBAxEWFiYAiDZt2oisrCyD9OPHj0sHWlGBxqhRo0wGK/pKG6wkJiYKPz8/6cRd2O7du6WR2woHF9ayJmB68OCBdMHv0aOHyMnJMUj/66+/hJubmwAgZs+ebbGciIgIcfLkSYP0uXPnFjtYWbt2rUF7ViqV4oknnhDbt283ecNvTnFGgypN2zt58qQAIHr16mV0c5KSkiKaNm1q8aYiOjpaABAeHh6iRYsWIj09XUrTaDSib9++UrucMWOG2L17t0H+DRs2CABCoVAUO7jTp7toBwcHixEjRhik3b9/XwQHBwsA4q233hJ9+vQxukkcP3689GOBKQ8ePJCCnmeeecYoCD5z5owUsCxcuNAof0lHAwsODhY7duwwSI+NjZWCvLVr15pcRt++fYWDg4PJslatWiXdRJv7AUWI/84XQUFB4uOPPzZIu3//vvD19RUAxJw5c0zmP3funHSDtGLFCqP0FStWSMfJ77//brYeRdFvf3Xr1jU6fz/77LMG55KyqJOl86h+vdzc3MRff/1lkJaTkyMF8lFRUUbn/MLl1KxZU7zyyisGaTdv3hQymUxER0dL0/RHTqpbt644c+aMQZ733ntPqtOmTZvErFmzDNJjYmKkbVNUAFmc60hUVJSIiYkxSNedJ4u6pupuOn18fIyCgOTkZBERESEFoqNGjTJbV0t0+6mom/3atWtLx8GLL75okKZWq6UfMMaMGVPieghhuN127NghkpOTLf61a9fOYv33798vXZdNtXndNcTFxUVcvHjRKN2ac1dR2/HevXvSufHUqVNG6bpjztR+LM5oYLp7oKCgIKPzWkpKimjcuLEAILp37250/i68nsHBwWLr1q0G6devXxcODg5FnnetwWClEjp27Jh081v476GHHhLR0dHi2rVrRS5D/wA/fPiwyXn++ecfoVAoLAYrpm5s1Wq1dAL//PPPjdKvXr0qnTRXrVplsvyLFy8aROz63n33XSnN3MVR98u5rYOVp59+WgAQYWFhRje3Ok888YR002fqhGCJNcHK7NmzpRvcwhdCHd3J09w8+uVMnz7dKP3MmTNi1KhRIjk5uVj1nzVrlvQLpv6fs7OzePzxx8XatWtFRkZGkcuw9sa2tG1PF6ycOHHCZN49e/YIoOBXeHN11m1nU8sXQojNmzdL6X379jVKz8/PlwLLZcuWmV1XS3TBikwmMxn0TJo0SQAFTxrmzZtnlH7ixAmpnlevXjVKf/PNNwUA4e7ubvTLnM7MmTMFAOHl5WUUnJY0WOnSpYvJebp16yYAiCeffNJket++fUXv3r3NlqG7yTH1o4OOrg5hYWFCo9EYpY8ePVoABb/Em6J72tupUyezZbRq1UoABU9pS0K//X322WdG6fv37ze4CSqLOlk6j16/fl06Ls39WHL9+nXpBtJcsKcfLJoa2n/KlCkGPwrp39iNHz/eaP7k5GQp3d/f32SQ1Lt3bwHAKOA3VS9rriNvvfWWUbparRYqlcrsNfW3336T8r///vsmy9iyZYs0T0UFK25ubgY/xujorkcBAQElrocQhtutuH/m6q/RaER4eHiR55L8/Hxpnq5duxqllzZY+e677wRQ8LTDnJo1a5YqWDl06JA035o1a0zOo78sU8GG/nqaOz906dKlyPOuNdhnpRJq27YtLl68iGnTpsHd3d0g7cyZM5gzZw7q16+PwYMH4+bNmyaXoftAVWhoKDp06GBynuDgYHTu3Nnk6C36+vbtazTN0dFRet/82rVrRunLli2DRqOBQqEw+4Gshg0bSsNZbtq0ySBNNyRznTp10LJlS5P5hwwZUmS9K0JKSgq+/vprAAX1MdcxXDdk75UrV3D69Okyr4cQAp9//jmAgv465j5+9dRTTwEANBoNvvzyyyKXaWq/NW3aFGvWrEGNGjWKVb958+bh8OHD6Nmzp8H77dnZ2fjxxx8xatQo1KpVC++9957Z/iDWKm3ba9q0KeLi4sy2O92oZjk5OTh16pTF+pgarrl+/frSv7t162aUrlAoEBERAaCgzZRW48aNERISYrYeubm5JusZGRkp/btwPYQQUht67LHH4OnpabJs3XJTU1Oxc+fOkq1AIabOScB/9TV1TgKAVatWYcOGDWaXq9u3hw8ftliHPn36QC43vsQ2bNjQbB0uXLggLfvJJ580u2zdNtu3b5/J9+aLw9Qx0K1bN6lvRUXV6csvv5T6rOnOQ4WFh4ejTZs2AIClS5cW2Wm/X79+Jof2X7RoEQYMGGAyj6k2XqNGDamvaOvWrU2OwqlrV2VxLAIFdS/M0dFROm+bajv6nyl44oknTC738ccfh0qlKpM6Wqtz585G9ynAf8fB7du3kZGRUSZlffjhh9i7d6/Fv6ZNmxa5nF27diEmJgaA+baoUCik4+HgwYO4ePFimayDju5YuH//vtll79ixAzNnzixxGbr7QEdHR7P3S126dEHNmjUN5jfHVLsFij7nWYujgVVSNWrUwMcff4x58+bhxx9/xI4dO/Dzzz9LnfyEENi2bRt++eUXHDx40KCTfVpamnRD3Lx58yLL2b9/v8W61KtXz+R0Xcc9U9/FOHjwIICCYCk3N9fsxc3f3x83b9406Oh///59XLp0CQDQrFkzs/Vq1KiRxbqXt6NHj0odQsPCwsyup5ubm/TvkydPokWLFmVajwsXLuD27dsAUOSy69WrBw8PD6Snp0v7yBzdCaistG/fHnv27MGNGzewZcsW7NixA8eOHZM6lKakpODVV1/FL7/8gh9++KHEI4KVpu0BBSd2/Q6RGo0GGRkZJoMo/c7ppvj4+MDHx8douv7F3dzxpZvHVMfe4rJUhrl59NML1+PChQu4c+cOACAiIsLsdtYfsvbkyZNl8nXvkpyTgIJ9ri8rKwvZ2dnSTbHuRs/Sfi1pHfSPudq1a5vdZrrATwiBU6dOmf0+kSWenp4ICgoqcp6KqtOBAwek5egCcVNatGiBY8eO4fbt27h06RKioqJMzleS81NRx0FKSkqFHItF1aOotqMbHMXLywu1a9c2mV+lUiEiIqJCO7ZbWhegYH1MBTTF1aJFC4sDbwD/DVRkjq4t6pZZVHk6hw4dMtsWS6Jly5ZwdHREbm4uunXrhjfeeAMjR4402G6Whvu3RHds6wYPMKd58+b4559/8McffyAjI8PsvirpedcaDFYqOWdnZwwdOhRDhw5Ffn4+9uzZgy+//BI//PADhBC4d+8eRo0aZfBrfXx8vHQDGBwcXOo6mGu4ul+1TN3E6X61iI+Ph5+fn8UykpOTIYSATCbDjRs3pOlFXWgtnZAqgm49AeCFF17ACy+8YDGPLqgor3rofiUxJzg4GOnp6QZ5TLH0xK2kateujenTp2P69OlITk7Gpk2bsHjxYulXmZ07d2Lx4sWYOnVqiZZfmranP+2jjz7Cd999h6tXr5odoScnJ6fIZesHqfr0yzI3j+5X+9I+aSpNPfSfHBSuh377WbBgARYsWGCxHmXV9ktyTtL5/vvv8cUXX+D48eNmbz4t7Vdr6mBq5Dv9bfb4449bLAMo3Taz5hiuqDrpyrF0TdI/f8XExJi9QSzJ+cnScVARxyJQsvarG4HRUvBZ0ddFS+sClN12KyvWXi8Lt8WyFBISgo8++ggvvfQSbt++jSlTpmD69Ono3r07Bg4ciMGDB5v8octaaWlp0g8Plu4JdOkajQbx8fFmR5gtzXnXEgYrVYiDgwP69OmDPn364NChQ+jbty+ysrLw559/4ty5c1IDy8zMlPI4OTmVulxTrzpYoqtDRESE9HqSJbobxgcPHkjTiqq/PXyLQ39bv/3222jbtq3FPEUNY1gW9bC0z3Xp6enpRc5Xkv1eXH5+fnjxxRfxwgsvYMaMGfj0008BAF999VWJg5XStD0AOHfuHLp3747k5GSEhoZi/vz5qF+/vsGJumfPnlYt19TwsCWZp7TKox76be6FF17AwIEDLeYJCAgoVhnmlLRtPv/88/jiiy8gk8nw5JNPomfPnggJCZGW99VXX1n99e7SnBeBgteizL2uqa9BgwbFLkfHmjpWVJ105Vh7fgKKPkeVZPtbauMVcSwCJau77rpoaftV9HWxIq4TZc3a66W1bbGkJk+ejNatW+Ojjz7C9u3bkZubi507d2Lnzp2YMmUKJkyYgPnz55sNootSknsCoOyPOWsxWKmiunTpgqlTp0q/Zl6+fFkKVvRvqqz5hbA86B6rKxQK9OjRo1h59Q/Moupv6Zsd1ijtxxYLv0ZT3HUtK8XZ57p0c30MbMHBwQEffPABtm/fjps3b5r93oU1StP2AGDUqFFITk5GSEgIzp07Z1fbyZ7ot7nQ0FCbtX1rfffdd/jiiy8AAB988AGmT59uNM+RI0fKtQ7626xp06ZS/wxbqqg66Y5La89PgH2do2zNzc0NaWlpFrdfWVwXq7rC10tzT+lK2xatub9o2bIlvv76a6SmpmL79u3YsGEDDhw4ALVajc8++wxnzpyRvudTHCW5JwBsd8xVvpC3mvvwww8RGBiI3Nxci/PqX1T0OyKGhYVJEXBCQkLZV9IKuneSb926VewvG9euXVs6MBMTE83Ol5KSYnFZDg4F8bq5x5Ol/bVE/91rc4MdVAT9elja57r08PDwcq2TTsuWLfH8889bnE+pVErvCBe3zegrTdu7fv269LHGZ555hjdLRbCXtm+tzZs3Ayj4dXDSpEk2qYM9brOKqpOuHEvnp3/++Uf6d0WdoyoD3RP5oq6JgHXXxerO2utlUW1Rd28BlM39hZeXF8aMGYN9+/bh/PnzePjhhwEAv/76K3bt2mX1cnQ8PDyk16CtPeYUCoXZ/lDljcFKJZOZmYnbt29b9QVj/ag9NDRU+re7u7vUMeuPP/4ochnPPfccnnjiiTJ/AqP7wuqDBw9w/vx5s/P99ttvcHBwMBhlwtvbW3pPWf8r34VZMzqH7hcTc++mX7161eIyitKuXTvpfc0TJ04UOW+fPn3g4OBg1KG7LDRs2BCBgYEAit7n169fl06g+l/BLU/JyclF7kd9ujat3551rP1lqTRtT9dhHDD/nq/+4/XqTL/NWWr7L7zwAhwcHLBlyxaD6RX12g3w37719fU1+1pEee9b/WPO0jZr1KgRHB0dy6WPmy3qpCsnLS2tyPf/df0vAwMDS/UKXFWjG9UzNTVV6r9SWG5ubpn3raiK9Nt8UddL/b7AhTv26z+NKcn9xZ9//ok33nhDGqBHX1RUFNavXy/9v/B1rLjXwsuXLyMrK8vsfLr1fOSRR8pkIISSYLBSSX3zzTcW59FF276+vkbDrOp+Obx165bZYTjPnDmDZcuWISEhoUz6tuh77rnnpHdndUNkmrJy5UpoNBoMGzbMYPqoUaMAADdu3DB7c79161aL9dANzRobG2vy148ff/zR4jKK4uXlJQ19uGvXLrMX8Rs3bmDPnj0IDw8v9QgfpshkMunpxfHjxxEXF2dyvo0bNwIo+AVlwoQJZV4Pc06dOmUxAH/w4IH0Go6pkYb0R5XSP8Fv2rQJDRo0wE8//QSgdG1Pv/OquQtNeQw9XRnpt7nTp0/j7NmzJudLT0/HN998A3d3d6P9au0+LQu6fZucnGz21+fy3rcNGzaUbiC+/vprsz8SHT16FBcvXkTnzp3LrJ+Preukf1zqzkOFxcXF4bfffgNQEOBWZDBr73TXROC/p4SF/fTTTzZ79bsyefTRR6UnJebaokajke7DunXrZjT6nIeHh3QcmBrSOiMjA7/++qvZOpw5cwbz5s0ze53RvxbpjxAGmD9vfvjhh2jQoAH++usvAJAG/FGr1Wbvl3799VfpyYqtnjgDDFYqrXfffbfIbxJs2rQJK1euBADMmTPH4JEkAIwcOVL6fsPkyZONHkdmZWVh/PjxAIA33nijLKsOAKhbty7efPNNAMDixYsNhgrU2bJlC1auXInmzZsbje8/adIk6TsuU6dORXZ2tkH6yZMnsWrVKov1ePTRRyGTyZCdnW10sMbGxmLbtm3FWi9TFixYgICAAGRlZWHcuHFQq9UG6RkZGRgxYgQ0Gg0WLFhQbhfgV155BQ0bNoRGo8HEiRONXiU8d+4cPvzwQwDAW2+9ZVVH2rKi0WgwfPhws8FcVlYWxowZg3v37sHT09Pk2PI1atSQTtr6r6scPnwYV65ckUZOKU3bCwsLkx6/r1y50uhC8uDBg1KNe1/V6NocAIwdO9Zo6Mrc3FyMHTsW9+/fx1tvvWXUUdTafVoW9IdMfu2114xeEdyyZYvF4bzLwpIlS+Di4oKEhARMnTrV6L3227dvY/To0XBwcMC8efPKvT4VVSf94/KDDz4wCm5zc3MxceJEaDQaREVFYcaMGSVbmSqqZcuW0g8r7777rtGPP/fu3cNrr70GX19fW1SvUpHL5Vi2bBnkcjkOHDiA1atXG83zzjvv4Pr163BxcTH7/ZHevXsDKPhxufCPoW+88YZVrxHPnj3bZN+Wr776CkDBiLCFvysVHh4u3UfonzcPHDiAK1euSEO0d+7cGaNHjwZQcM67deuWwXLS09MxZcoUAED37t0xcuRIi/UtL+xgX8kEBwdDqVQiJycHffr0QefOndGjRw8EBwdDCIG///4be/bswfHjx6FQKBAdHW0yGpbL5di2bRsGDBiAQ4cOoUmTJhg7dixq1qyJGzduYO3atfj777/x9ttvG/zaefbsWZw9exbHjx+XpukeRw4cOBCurq7Yu3cvbt++Ld14xsbGYv369XBzczP4GNdbb72F9PR0fPzxx+jVqxdGjBiB9u3bIysrC7/++it27NiBevXqYdu2bUbBlouLC3744Qd07doVx48fR/PmzTFmzBj4+vrizz//xOrVq/HBBx9I6378+HE4ODigdu3a6Nixo7ScsLAwvPDCC1iyZAnGjh2LP/74Aw0bNkRcXBzWrl2L1atXo3v37gbLqFu3Ltq1a4fjx48jJibG5LZo166ddLMfEBCAffv2oU+fPvjpp5/QtGlTPP300wgMDERMTAzWrl2LpKQkzJs3D4MGDSpWeyiqDvr7BCg4qe3Zswe9e/fGnj178PDDD+OZZ55BjRo1cO7cOaxYsQIPHjzAtGnTpJsGnaL2e+H9Wly1a9fGjRs38Pvvv6NevXoYOHAgWrRoAU9PT2RlZeHChQvYunUrkpKSEBISgs2bN5t8BUsmk2HkyJFYvHgx5s6di5ycHCQmJmLlypWIiopC69atpXlL0/ZWrVqFrl27IjU1Fc2bN8ezzz6Lhg0bIiEhAevWrYNSqZTm1bWZpk2bomnTptL+0t2IPXjwQNqOI0eOxIMHD7B9+3aDb1ns3bsXt27dktrUjh07pNdBgf+Or4CAAKtHIbO0jNjYWBw7dszscQ4A27dvN1hm4XUF/mtzffr0wR9//IFGjRphzJgxqFOnDm7evImvv/4aV69excSJE/HSSy+VaJ/evn0be/fuLXKb6dqvqe2uO0b+7//+D6NHj8aaNWvw5Zdf4vz58/i///s/uLi44NixY/jmm28QERGB69evm91vRW2PorZpz549pV9hGzZsiJ9++gmDBg3CsmXL8Mcff+DJJ5+Ep6cnLl++jFWrViE7OxsrVqxAq1atrNrf+nUy1/6Kaj8lrZNu35jaLgAM2gpQcFympaVh4cKFaNeuHcaNG4emTZvi7t27+Oqrr3Dx4kU0btwYO3fuNPg4Y1Hbv/D21dHtD903u4CC46JGjRrS/LrjRDfS1tmzZ7F+/XqEh4ejbdu2Fo/notZft73L8pq6bNkyxMfH47fffkPLli3x3HPPISIiAjdu3MDKlSsxYcIEHDhwAL/88ovJ/WyJrh6m1le3zXT/N7fNdNvE1HbXv25aots3+ttNd9ybasv6+0K3HfXrX7jsbt26YePGjRg9ejTGjh2LnTt3onv37sjPz8f333+PPXv2wMvLC9u3bzf7OuIbb7yB7du349y5c+jcuTNGjBgBhUKB7777DnK5HOPGjcM777xjUI8BAwbAzc1N+uFmy5YtaNy4MYYOHYrQ0FCkp6fj119/xQ8//AClUomVK1caDfft4+ODvn374scff8SMGTPw3HPP4eLFi9i1axceffRRg/m/+OILZGdn45tvvkGzZs0wfvx41KtXD7du3cLKlStx8+ZNdOnSBVu3bjX4IbWszrtWK9mH78mW7t+/LzZs2CCee+450aZNGxEQECBUKpVQKpXC19dXtG7dWrzyyivi0qVLFpel1WrF+vXrRa9evYSfn59wcHAQ/v7+on///uLAgQNG80dHRwsAJv/i4uKEEEJ07tzZZHrt2rVN1uHo0aNi+PDhIiQkRDg6Ogp3d3fRqlUr8d5774kHDx4UWf/bt2+LyZMni1q1aglHR0fh7+8v+vbtK/bv3y+EEEZ1GDx4sNEyNBqN+OCDD0RUVJRQqVSiRo0aYuDAgeKvv/4yuYynnnpKCCHEqFGjzG6L1atXG5WTkZEhFixYIFq2bCk8PDyEUqkUISEhYvjw4eL48eNFrqc5RdVBf5/oU6vVYvHixaJjx47C29tbODo6ipo1a4phw4aJI0eOmCynqP1ubr8Wx/nz58VHH30kBg0aJKKiooSnp6dQKBTC2dlZhIaGij59+oilS5eKjIyMIpeTnZ0tpk2bJkJCQoRSqRShoaFi1KhRIiEhweT8JW178fHxYsKECaJ27dpCqVQKNzc30bx5czF37lyRnp5utI2io6OFEEXvLyGEiIuLs9imateubTK9c+fOVm9vS8tYvXp1kW2qqHrq1lVfbm6uWLJkidTmHBwcRGBgoOjfv7/YuXNnkXW1tE8PHjxocZtZc97SWbt2rejQoYNwd3cXSqVSBAcHiyFDhojDhw+bXI6l/abbHkVt04MHDxqtd3Jyspg1a5Zo0qSJcHV1FY6OjqJu3bri2WefFRcuXLB6X+srqv1Z036KW6ei9o25tiKEEEeOHBHDhw8XNWvWFI6OjsLb21t06NBBLF68WKjVaqP5i9r+5ravNfvD3HEyatQoi9vT0vrrtndZX1PVarV47733ROPGjYWTk5Pw8fERXbt2Fdu3bxdCCNGpUycBQIwbN87sfjbHXD30t5m5dN02s+Z4tYa5fWOuLVtqi+bKjo+PFy+++KKoX7++cHZ2Fq6urqJx48bitddeE3fu3LFYz/Pnz4uBAwcKX19f4eTkJKKiosQHH3wg8vLyTO77a9euSXkvXbokoqOjRadOnYS/v79wcHAQTk5OIjIyUjz33HPi4sWLZsu9d++eGDNmjAgICBBKpVKEhYWJF198UaSmppqc/4cffhD9+/eX5q9Ro4bo2bOnWLdundBqtcXaniU571oiE6IUw+oQERERUaXQvHlz/Pnnn3jllVfw/vvv27o6RFZhnxUiIiKiSi42NtbsSGAAIISQRgNr3LhxBdWKqPQYrBARERFVcrNmzSqy3+OhQ4eQnp4OlUqFRx99tAJrRlQ6DFaIiIiIqoA///zTaLABoOBbH9OmTQMAvPjii+U+5DVRWeJoYERERESVnG60pqFDh2Lo0KFo3bo1PDw8cPXqVXz11VdITEzEkCFDKmzIa6Kywg72RERERJVcWloavvnmG+zcuRNnz55FQkIC8vPzpQ9DjxkzBgMHDuTHNKnSYbBCRERERER2ia+B2TGtVouEhAS4u7vzlxAiIiIiqjKEEMjIyEBwcDDkcvPd6Bms2LGEhASEhobauhpEREREROXi77//RkhIiNl0Bit2zN3dHUDBTvTw8Kjw8rVaLZKTk+Hn51dkxEtkDtsQlQbbD5UW2xCVFttQ+UlPT0doaKh0v2sOgxU7pnv1y8PDw2bBSk5ODjw8PHiAUomwDVFpsP1QabENUWmxDZU/S10duNWJiIiIiMguMVghIiIiIiK7xGCFiIiIiIjsEoMVIiIiIiKySwxWiIiIiIjILjFYISIiIiIiu8RghYiIiIiI7BKDFSIiIiIisksMVoiIiIiIyC4xWCEiIiIiIrvEYIWIiIiIiOwSgxUiIiIiIrJLDFaIiIiIiMguOdi6AmTfcvO1yMjOgwAgBCCTAQ4KOfLytdAKAa0QcJDL9ebXSP92UMildAEBuUwGrRAFaXI5HJUKPMjJQ06eBs6OCshlMuRptJBBBk9XR2Rm50FAIF8joFT8twwhAI22oGyFXAaNtmCZQgjkabRwUjpAnaeBQi5Dvlb7b14gX6NFbr4W7s5KpGflwUmpgEBBXhlkEBBwdFAgX6OFi8oBObkaZOfmw9VJCaVCjix1PpwcC9Jz8jRQKuTI12ghl8ukZQCA07/ros7TIDdfAydHBzg6FGwL3Tz665Kdmw8XlQMyc/KgkMuleskgk9bx380GANCKgrxAwf4QomB5KqUCGq1AXr4W+RotHBRyKOQy5ORpoHJQAACUDnI4OhTsv9x8LRwd5Mj9d18CkJbr6CAvyKdUIC9fa1S2bn6ZrGC9HZVyqP8tJ0+jhRAFy9BotUjLyoMyUw2FoqCdaLRC2j5KB7nR+ql15Wq0cFDIpH0jg0xaX50H6oJtphUCzo4KpD3IhauTEg4KGfLytcjO1Uj7zPHfbSCEQHauBu7OSshkQL5GQKsV0GiFtO90bTlfI6B0KKh3dm5+QVuXAVrtf9M1WgEZIG1/3fYTomAZKuV/bVshlxm0A/02rL8d9NuH/nz66frbIze/YFvmawrmy87Nh6tKWfhwluqYr9EalaNSKuCgkCEnVwOZTIY8jQaODgrk5mvgoJBL+z3/32NU1xacVQ5wkMuQpS44VtKy1AVt4t+2paurPt15QiaTwUEhk+oNQNpG3q4q3E7NQlpWHtR3M+HpqkLqg1ypTQCAs0qBLHU+8jW69gvkawuOhYzsPAR4OkOdr4GTsmA+RwcFFPKCtpeTp4GniyMECo4ZB4VcOm/o2mC+VsDFseDYBAClQi7tx3ytgJNSIdVZJoPBsaHbrrpzjO48pk9AQIj/8pk61p0cFYAoOBe7OjkgIzuvYDkyIC+/oC5KhRxKBzlSMtXwdlNJ9dXf7koHucF5ydFBIe1PNyclFP+ez/I1WoP26PhvO8/N10ptQamQw8lRgexcDeQyGTTagnOIUqH4N5+AOl8DNycl8jRaQAD/HhqQyYAHOXlQ/ts+nJQKZObkwdnRQSozX6uVjhknpQLqvII2+eDf+VT/5nFROUj7K0+jhVYAmn/3j0qpgADgqJDhXmYuoMpGQVUKzvO6faEVBce+rh0qFXJk5uTB0aFgm8rw37GrkMuQ++/5VXfOdlUppTYmBKDOLzgP6raVbp30rzVaUVAHjVZrsL+B//LrrrW5+RqDc6CDouC8qtEKuDsrpfOzbv/o9qu7sxIarUBOrqbg+uCgkM71Gq2Al6sjHuTkw9FBLpWp1p3zFHKp7rJ/z3e5/5aj/Pf6If93P3u5qpCelYs8zX/XVoVcJl3/dedNgYJ7AZkM0jlQ/98KhQxabcHxoDsWtP+eq2WAwbVW1y5VyoJ1VedpIYSAXC7797pTUJbuWCy4Zyi4BujWNe/fc6DufCiTAS4qB2n9tUJAJgNycjVwkMuQmpWH/PsP4KxSIi0rt6B9/LudtKKg3uLf/ap/3yKdL/69Jmu0At5uKgghkKXOl+55pHOIXAaNRhRcpzVa6Tyrf37SbzO6fa7bN1nqfHi6OP67XCBP819b0V3n9NuKi6rgeLJ3DFaoSONX/2nrKlAZiwj0wPWkdFtXg6qQdpEBOHblNp7r2RBf7r1UJsuc2rcJPv3pXJksi4jKx+43+2LoR3ttXQ0qhd1v9rV1FSzia2BE1Uxyeo6tq0BVzN2MgjaVkZ1XZstMfaAus2UREVHlxWCFiIiIiIjsEoMVIiIiIiKySwxWiIiIiIjILjFYISIiIiIiu8RghYiI7E7hIV2JiKh6YrBCRER2h7EKEREBDFaIiIiIiMhOMVghqmbSsnJtXQUiy/geGBERgcEKERGVkbIML9b9eq0Ml0ZERJUVgxUiIioVGWS2rgIREVVRDFaIiIiIiMguMVghIqJSERy7i4iIygmDFSIiKh3GKkREVE4YrBARERERkV1isEJERERERHaJwQoREREREdklBitERERERGSXGKwQEVGZEPzqPBERlTEGK0REREREZJcYrBARUenwA/ZERFROGKwQEREREZFdYrBCRERERER2icEKERERERHZJQYrRERUKlcT0mxdBSIiqqIYrBARERERkV1isEJERERERHaJwQoREREREdklBitERFQm+P16IiIqawxWiIiIiIjILjFYISIiIiIiu8RghYiIiIiI7BKDFSIiIiIiskt2H6zcvHkT77zzDtq3bw9vb28olUoEBASgT58+2LJli8k8hw4dgkwmK/Jvx44dZsu8cuUKRo4ciaCgIDg5OSE8PByvvPIK0tKK/vBZWloaZs6ciYiICDg5OSEoKAgjR47ElStXSrMJiIiIiIiqJQdbV6Aov/zyC3r06AGFQoFXXnkFn376Kby8vPDXX39h1qxZGDp0KIYPH47169dDLjeMuxwcHBAeHm522e7u7ianHzp0CH369EGtWrWwZs0a1K9fH4cOHcKLL76Ibdu24ciRIwgKCjLKl5iYiA4dOuDOnTtYtGgRunTpgqtXr2Lq1Kl4+OGH8fPPP6NLly6l2h5ERERERNWJXQcrKSkpyM/Px8cff4wpU6ZI0yMiItCuXTs0aNAAmzZtQteuXTF+/HiDvDVr1sTly5eLVV5qaiqGDh0KIQR+/vln1K1bFwAQFhYGlUqFp556Cs888wz27t1rlPeZZ55BbGwsNmzYgBEjRkj5fv75Z0RFRWHo0KG4fv06PD09i7sZiIiIiIiqJbt/DUyhUGDUqFFG04ODg9GvXz8AwLffflsmZX322We4e/cu+vfvLwUqOsOGDUNwcDD27duHo0ePGqQdPnwY+/btQ3BwMIYNG2aQVrduXQwcOBB3797F4sWLy6SeRERERETVgV0HK3379sX9+/fh4eFhMj0kJAQAcP/+/TIpb/PmzQCA7t27G6XJ5XJ069YNAPDNN9+YzNelSxej19EAoEePHibzERERERGReXYdrCiVSrOBClDQTwQAmjRpYpSWl5eHTz75BG3btkVQUBCCgoLQoUMHfPDBB8jMzDSa/8GDB7hw4QIAoEGDBibL000/efKkwfQTJ05Yle/ChQvIzs42uz5ERJUaP2FPRERlzK77rBQlPz9f6jsyadIko/SEhAR8/fXXmDFjBho2bIiUlBSsW7cOM2fOxLJly7Bnzx6EhYVJ88fFxUGr1QIAAgMDTZap61gfExNjMF33f0v5tFot4uLiEBUVZXI+tVoNtVot/T89PV3Kp6tbRbJFmURUeQlGK0TVCu8TKj9b7kNry660wcqqVauQlJSE559/Hi1btjRICwkJQXR0NF5//XUolUppeocOHaBSqfDZZ59hyJAhOHXqFGQyGYD/AgMAcHZ2Nlmmi4sLABgNYazLaymfqbz6FixYgDlz5hhNT05ORk5Ojtl85YUnISIqjqysLFtXgYgq0J07d2xdBSolW+7DjIwMq+arlMHK9evXMWPGDLRt2xYff/yxUXpERARmz55tMu/rr7+OpUuX4vTp09i3bx969uxZzrW13muvvYaXX35Z+n96ejpCQ0Ph5+dX5Otw5YXBChEVh6veDzNEVPX5+/vbugpUSrbch05OTlbNV+mClcTERPTq1QsRERHYuXOn1SuqExAQgJCQENy4cQNHjx6VghX9YMBcvxLdr4aFhx/28PDAvXv3LOYzlVefSqWCSqUymi6Xy0123Ccisiv/PqkmouqB9yaVny33obVlV6pWlpCQgO7du8Pf3x/79+8v8TdLdH1L9EcRCwsLk14JS0pKMplP16G/8Mcmdf+3lE8ul6NOnTolqjMRERERUXVTaYKVGzduoFOnTvD398e+ffvg7e1tdt4ff/wRd+/eNZuuCyq8vLykaa6urmjUqBEAmP2YpG564T4yrVq1sipfo0aNDPqvEBERERGReZUiWLl27Ro6duyI8PBw7Ny5E25ublLa2bNn8dhjjxnM369fP/z4448ml5WcnIxbt24BANq2bWuQNnToUADA/v37jfJptVocOHDAYL7C+Q4dOmSyn8e+fftM5iMiIiIiIvPsPli5cOECOnXqhObNm+P77783GnHr/v372L17t1G+r776CkIYD6M5f/58aDQaNGzYEL169TJImzJlCnx9ffHdd98hLi7OIO3rr79GQkICunXrho4dOxqkderUCV27dkVCQoLRhx9jY2Oxfft2+Pr6YsqUKcVadyIiIiKi6syuO9ifP38eXbt2xd27dxEfH4/27dsbzWNq2DOFQoGDBw+iX79+mDZtGsLDw5GSkoI1a9Zg0aJFCAkJwdatW6FQKAzyeXt749tvv0Xfvn3Ru3dvLFq0CPXq1cOhQ4fw4osvok6dOli3bp3Juq5fvx7t27fHhAkTkJOTgy5duuDatWt48cUXIZPJ8O233xq8dkZEREREREWz62Bl3759Ut+TM2fOWJ3vxo0bWL9+Pfbs2YMRI0bg/v37cHZ2Rr169TB79mxMmTIFPj4+JvN269YNf/75J95++20888wzSElJQc2aNTFhwgS8+eabZgOO4OBg/Pnnn5g7dy7mzp2LiRMnwtvbG926dcP27dvRsGHDYq8/EVGlwm9CEhFRGZMJU+9KkV1IT0+Hp6cn0tLSbPadld7zdlZ4uURUOT3ZLhzfHIuxdTWIqILsfrMvHn3nJ1tXg0ph95t9bVa2tfe5dt9nhYiIiIiIqicGK0REREREZJcYrJBZWr4hSEREREQ2xGCFzNp/7h9bV4GIiIiIqjEGK2TWg5x8W1eBiIiIiKoxBitERERERGSXGKwQEREREZFdYrBCRERERER2icEKERGVCX4QkoiIyhqDFSIiIiIisksMVoiIiIio2AS/x0YVgMEKERERERHZJQYrRERERERklxiskFkyma1rQERERETVGYMVIiIiIiKySwxWiIiIiKjY2L2eKgKDFSIiIiIqtoPn/rF1FagaYLBCRERERMX2/ndnbF0FqgYYrBARERERkV1isEJERERERHaJwQoREREREdklBitERERERGSXGKwQEREREZFdYrBCRERERER2icEKERERERHZJQYrRERERERklxisEBERERGRXWKwQkREREREdonBChERERER2SUGK0REREREZJcYrBARERERkV1isEJERERERHaJwQoREREREdklBitERERERGSXGKwQEREREZFdYrBCRERERER2icEKERERERHZJQYrRERERERklxisEBERERGRXWKwQkREREREdonBChERERER2SUGK0REREREZJcYrJBZMshsXQUiIiIiqsYYrJBZAsLWVSAiIiKiaozBChERERER2SW7D1Zu3ryJd955B+3bt4e3tzeUSiUCAgLQp08fbNmypci8J06cwIABA+Dn5wdnZ2c0atQIc+fOhVqtLjJfYmIiJk6ciFq1akGlUqFWrVqYOHEiEhISisynVqsxb948NGrUCM7OzvDz88OAAQNw4sSJYq83EREREVF1Z9fByi+//ILw8HDMmzcP3bp1w969e3Hp0iUsWbIE169fx9ChQzFixAhotVqjvBs3bkT79u1x+/ZtbNu2DefPn8fYsWMxZ84cdOzYEZmZmSbLvHjxIpo0aYLvvvsOCxcuxOXLl7Fw4ULs2LEDTZs2xcWLF03my8zMRMeOHTF79myMHTsW58+fx7Zt23D79m20b98eGzduLNNtQ0RERERU1TnYugJFSUlJQX5+Pj7++GNMmTJFmh4REYF27dqhQYMG2LRpE7p27Yrx48dL6TExMRg7dix8fX2xc+dOeHl5AQCmT58OtVqN119/HdOmTcPy5csNysvPz8fgwYNx7949HD16FO3atQMAhIWFITAwEB06dMCQIUNw9uxZODgYbrqXXnoJJ0+exLx58zB9+nQAQHh4OHbu3InIyEiMHTsWbdq0Qd26dctjUxERERERVTl2/WQFABQKBUaNGmU0PTg4GP369QMAfPvttwZp8+fPh1qtxpgxY6RARWfSpElQqVRYtWoVbt68aZC2adMmXL58Ga1bt5YCFZ327dujTZs2uHTpEr755huDtBs3bmD16tVQqVSYNGmSQZqXlxfGjh0LtVqNBQsWFGvdiYiIiIiqM7sOVvr27Yv79+/Dw8PDZHpISAgA4P79+9I0jUaDbdu2AQC6d+9ulMfT0xMtW7aEVqs16vOyefNms/kAoEePHgBgFKxs3boVWq0WLVq0gKenp9l8W7duhUajMblsIiIiIiIyZNfBilKpNBuoAAUd4QGgSZMm0rSrV68iNTUVANCgQQOT+XTTT548aTBd1xG+vPKlpKTg+vXrpleGiIiIiIgM2HWflaLk5+dj7969AGDw6lVMTIz078DAQJN5g4KCjObNzMzEnTt3rMqXlJSErKwsuLi4GCzHXD796TExMYiMjDQ5n1qtNhipLD09HQCg1WpNDiJQ7gS/s0JERERUVdnk/rKYZVfaYGXVqlVISkrC888/j5YtW0rTdTf4CoUCSqXSZF5dkJGWlmaUDwCcnZ2LzKfLq/u/Lq+5fAqFAiqVCmq12qDMwhYsWIA5c+YYTU9OTkZOTo7ZfOUlw8yIaURERERU+el+qLeFjIwMq+arlMHK9evXMWPGDLRt2xYff/yxratTZl577TW8/PLL0v/T09MRGhoKPz+/Il+HKy/ubg8qvEwiIiIiqhj+/v42K9vJycmq+SpdsJKYmIhevXohIiICO3fuNFpR3U29RqNBXl6eyacrWVlZAGDQGV4/GMjOzjZZti6fubzm8mk0Gun1LlMd8HVUKhVUKpXRdLlcDrm84rsXyWR23aWJiIiIiErBFveXxS27Ut2NJiQkoHv37vD398f+/ftN3viHh4dL/05KSjK5HF3HfP153dzcpOjSUr7AwECDV8J0yzGXT3+6fplERERERGRepQlWbty4gU6dOsHf3x/79u2Dt7e3yfnq168vBTGXL182OY9uun5fFwBo1apVuebz8vJCRESEyXmIiIiIiMhQpQhWrl27ho4dO0pfhHdzc5PSzp49i8cee0z6v0KhwKBBgwAA+/fvN1pWWloaTp48CblcjsGDBxukDR061Gw+ANi3b5/BfDqDBw+GXC7HH3/8YbIDvS7foEGDoFAoLK4vERERERFVgmDlwoUL6NSpE5o3b47vv//eaMSt+/fvY/fu3QbTZs2aBUdHR6xevdooeFiyZAnUajVGjx6N2rVrG6QNHz4c9evXx4kTJ3Ds2DGDtGPHjuG3335DZGQkhg8fbpBWp04djBo1Cmq1GkuXLjVIS01NxapVq+Do6IhZs2aVaBsQEREREVVHdt3B/vz58+jatSvu3r2L+Ph4tG/f3mgeU8OeRUREYMWKFRg9ejR69+6NDz74AEFBQdi+fTuio6PRokULfPLJJ0b5lEoltm7dis6dO2Pw4MFYsmQJmjdvjtOnT2PSpEnw8fHBli1b4OBgvNk+/fRTnD17Fm+99RYcHR0xcOBAJCYmYsaMGbh79y7WrFnD/ipERERERMVg18HKvn37cPfuXQDAmTNnipX36aefRr169bBgwQL0798fmZmZCAsLw5tvvomZM2eaHS6tcePGOHv2LObMmYOpU6fizp078Pf3R79+/RAdHY2aNWuazOfu7o4jR47ggw8+wIoVK/D666/D1dUV7du3x5EjR9C2bdvirbwdkMlsXQMiIiIiqs5kQvAz5fYqPT0dnp6eSEtLs8l3Vr77PQ5Ld1+s8HKJiIiIqPztfrOvzcq29j7X7vusEBERERFR9cRghYiIiIiI7BKDFTKLLwgSERERkS0xWCEiIiIiIrvEYIWIiIiIiOwSgxUiIiIiIrJLDFaIiIiIiMguMVghIiIiIiK7xGCFzOIX7ImIiIjIlhisEBERERGRXWKwQkREREREdonBChERERER2SUGK0REREREZJcYrBARERERkV1isEJERERERHaJwQoREREREdklBitk1uV/Um1dBSIiIiKqxhiskFm/X79j6yoQERERUTXGYIWKwE/YExEREZHtMFghs2SMVYiIiIjIhhiskFkMVoiIiIjIlhiskFkyvgZGRERERDbEYIXMCg/0sHUViIiIiKgaY7BCZrWoW8PWVSAiIiKiaozBChERERER2SUGK2SWELauARERERFVZwxWiIiIiIjILjFYIbM4dDERERER2RKDFSIiIiIisksMVoiIiIiIyC4xWCEiIiIiIrvEYIWIiIiIiOwSgxUiIiIiIrJLDFaIiIiIiMguMVghs/hRSCIiIiKyJQYrRERERERklxiskFn8KCQRERER2RKDFSIiIiIisksMVoiIiIiIyC4xWCEiIiIiIrvEYIWIiIiIiOwSgxUiIiIiIrJL5RqsqNVq7Nq1C3fv3i3PYoiIiIiIqAoqVbDSrVs3pKammk1PTU1Fnz59EB4ejn379pWmKLIBfhSSiIiIiGypVMHKoUOHkJubazbdz88Pf/zxB/r164dZs2aVpigAwLFjxxAZGQmZTIb4+PhSL4+IiIiIiOxXub4GJpfL8fDDD+Ptt9/GpUuXSryc7OxsTJ8+HZ06dcLVq1ctzn/o0CHIZLIi/3bs2GE2/5UrVzBy5EgEBQXByckJ4eHheOWVV5CWllZkuWlpaZg5cyYiIiLg5OSEoKAgjBw5EleuXCnuKhMRERERVXsOpV2AzMJnzrOzs/Hjjz9CoVCUaPkxMTHo06cP1Go1du7ciV69elmVz8HBAeHh4WbT3d3dTU4/dOgQ+vTpg1q1amHNmjWoX78+Dh06hBdffBHbtm3DkSNHEBQUZJQvMTERHTp0wJ07d7Bo0SJ06dIFV69exdSpU/Hwww/j559/RpcuXayqu73gF+yJiIiIyJaKFazMmTMHb7/9tsG0wMBAq/I+/vjjxSlKcuHCBXTv3h3vv/8+3NzcrM5Xs2ZNXL58uVhlpaamYujQoRBC4Oeff0bdunUBAGFhYVCpVHjqqafwzDPPYO/evUZ5n3nmGcTGxmLDhg0YMWKElO/nn39GVFQUhg4diuvXr8PT07NYdSIiIiIiqq6K9RqYEMLgTyaTGU3T/wMALy8v9O/fH0uXLi1RBfv27YulS5cWK1Apqc8++wx3795F//79pUBFZ9iwYQgODsa+fftw9OhRg7TDhw9j3759CA4OxrBhwwzS6tati4EDB+Lu3btYvHhxua8DEREREVFVUaxgZfbs2dBqtdKfEAJJSUkG0/T/NBoN7t27h23btqFmzZolqmBJXx8ric2bNwMAunfvbpQml8vRrVs3AMA333xjMl+XLl0glxtv0h49epjMR0RERERE5pWqg33nzp3h6OhYVnUpU3l5efjkk0/Qtm1bBAUFISgoCB06dMAHH3yAzMxMo/kfPHiACxcuAAAaNGhgcpm66SdPnjSYfuLECavyXbhwAdnZ2SVbISIiIiKiaqZUHewPHjxo1XxarRa3bt1CrVq1SlNcsSQkJODrr7/GjBkz0LBhQ6SkpGDdunWYOXMmli1bhj179iAsLEyaPy4uDlqtFoD5fji6jvUxMTEG03X/t5RPq9UiLi4OUVFRJudTq9VQq9XS/9PT06V8urpVJK2WH1ohIiIiqqpscX9Z3LJLPRqYNZKTkxEWFgaNRlMRxSEkJATR0dF4/fXXoVQqpekdOnSASqXCZ599hiFDhuDUqVPSaGa6wAAAnJ2dTS7XxcUFAIyGMNbltZTPVF59CxYswJw5c4ymJycnIycnx2y+8pKZmVHhZRIRERFRxbhz547Nys7IsO4+s1jBilqtxoULF9CsWTPI5XL8+uuvVuW7d+9ecYoptYiICMyePdtk2uuvv46lS5fi9OnT2LdvH3r27FmhdSvKa6+9hpdffln6f3p6OkJDQ+Hn5wcPD48Kr4+bm/HrckRERERUNfj7+9usbCcnJ6vmK1aw0qFDB5w+fRpPPvkkNm7ciC5dulj8zoq9CQgIQEhICG7cuIGjR49KwYp+MGCuX0lWVhYAGA0/7OHhgXv37lnMZyqvPpVKBZVKZTRdLpeb7Lhf3irbviUiIiIi69ni/rK4ZRcrWNGNAKYblhgA2rRpY7GTfW5uLn777bfiFFWuAgMDcePGDdy/f1+aFhYWJg3FnJSUhHr16hnlS0xMBACjj02Gh4fj3r17SEpKMlmeLp9cLkedOnXKaC3KH2MVIiIiIrKlYgUrR44ckV4D09m+fbvFR0hJSUkIDg4uUQVL4scff0SbNm1Qo0YNs/UBCr4Bo+Pq6opGjRrh/PnzuHz5Mjp27GiUT/eRyZYtWxpMb9WqFX7//XezH6HUTW/UqJFB/xUiIiIiIjKvWM9+nJ2d8cgjj8DBoSDGGTVqlNlO5fpcXFwwatSoktWwBPr164cff/zRZFpycjJu3boFAGjbtq1B2tChQwEA+/fvN8qn1Wpx4MABg/kK5zt06JDJkQ327dtnMh8REREREZlXqhfVVq9eDXd3d4vzeXh4YPXq1aUpqti++uorg9fVdObPnw+NRoOGDRuiV69eBmlTpkyBr68vvvvuO8TFxRmkff3110hISEC3bt2Mnrp06tQJXbt2RUJCgtGHH2NjY7F9+3b4+vpiypQpZbR2RERERERVX4X0qrl9+3apvkSfnJyMpKQkgz4hpqbpKBQKHDx4EP369cP+/fsRHx+PP//8E1OnTsUnn3yCkJAQbN261ahO3t7e+PbbbwEAvXv3xp49exAXF4fVq1fjueeeQ506dbBu3TqTdVy/fj3q1KmDCRMmYPXq1YiLi8OePXvQp08fyGQyfPvttwavnRERERERUdFkwtTjh2LKy8vDtWvXkJKSYvJbKvfu3cOQIUNK/J2VOnXq4MaNG2bTC6/CP//8g/Xr12PPnj04f/487t+/D2dnZ9SrVw//93//hylTpsDHx8fs8i5fvoy3334bBw4cQEpKCmrWrImBAwfizTffLDLgSE1Nxdy5c7F9+3bcunUL3t7e6NatG9588000bNiw2Oudnp4OT09PpKWl2WTo4s3HYrBiv+l+OERERERUue1+s6/Nyrb2PrdUwUp+fj5mzpyJ5cuXGwzPa05FfRSyqmCwQkRERETlpTIEK6X6gv2bb76JTz75BAqFApGRkfDx8TH4YryOvQ1dTERERERE9q9UwcqGDRvQq1cvbNq0Cd7e3mbnq+ihi4mIiIiIqPIrVbBy584dbNu2rchABQDc3d0RHR1dmqKIiIiIiKiaKdVoYLVq1Sqyo7qOq6srg5VKiF+wJyIiIiJbKlWw8uyzzxp9V8SUlJQUdOvWrTRFERERERFRNVOqYGXmzJn4+++/MXHiRPz++++4f/++yflyc3Pxyy+/lKYoIiIiIiIqQ/cycmxdBYtK1WdF/6OKy5cvL3VliIiIiIioYmw+HouJvaJsXY0ilSpYKc4nWmTsAFHplP5zoUREREREJVeq18BkMhmSkpKg1WqL/EtISChWYENERERERFSqYKVu3bpwcLD8cEalUqFz586lKYqIiIiIiKqZUr0Gdu3aNavmc3R0RMeOHUtTFBERERERVTOlerJirczMTMybN68iiiIiIiIioiqiVE9Wxo4da9V82dnZpSmGbIRjIhARERGRLZUqWFmzZo3FeWQyGYQQHA2MiIiIiIiKpVTBCgB88skn8PT0NJgmhEBycjJiYmLw7bffYvDgwejQoUNpiyIiIiIiomqk1MHKsGHD4O/vbzb9o48+wtChQ1GvXr3SFkVERERERNVIqTrYx8XFwc/Pr8h5XF1dMXv2bLzxxhulKYpsgJ/GISIiIiJbKtWTldq1a1s1n4+PD06dOlWaooiIiIiIqJqpkKGLf/zxR3awJyIiIiKyI5Xh7rxUT1a++uors2kajQYpKSk4deoUtm7dil69epWmKCIiIiIiqmZKFayMHj3a4hMTIQSCgoLw4YcflqYoIiIiIiKqZko9GtjQoUPh7OxsNF2hUMDT0xPNmjXDwIED4ebmVtqiiIiIiIioGil1sLJo0aIihy6myovdjIiIiIjIlkrVwf6zzz6Dh4dHWdWFiIiIiIhIUqonK5MmTSqrehARERERERmokKGLqXLiRyGJiIiIyJYYrBARERERkV1isEJERERERHaJwQoREREREdklBitERERERGSXGKwQEREREZFdYrBCZvGjkERERERkSwxWiIiIiIjILjFYIbP4nRUiIiIisiUGK0REREREZJcYrBARERERkV1isEJERERERHaJwQoREREREdklBitERERERGSXGKwQEREREZFdYrBCRERERER2icEKmcUv2BMRERFVYZXgXo/BCpnFj0ISERERkS0xWCEiIiIiIrtUqYKVY8eOITIyEjKZDPHx8bauDhERERERlaNKEaxkZ2dj+vTp6NSpE65evWp1vhMnTmDAgAHw8/ODs7MzGjVqhLlz50KtVheZLzExERMnTkStWrWgUqlQq1YtTJw4EQkJCUXmU6vVmDdvHho1agRnZ2f4+flhwIABOHHihNV1JiIiIiKiAnYfrMTExKBZs2bYunUrdu7caXW+jRs3on379rh9+za2bduG8+fPY+zYsZgzZw46duyIzMxMk/kuXryIJk2a4LvvvsPChQtx+fJlLFy4EDt27EDTpk1x8eJFk/kyMzPRsWNHzJ49G2PHjsX58+exbds23L59G+3bt8fGjRtLtP5ERERERNWVg60rYMmFCxfQvXt3vP/++3Bzc7MqT0xMDMaOHQtfX1/s3LkTXl5eAIDp06dDrVbj9ddfx7Rp07B8+XKDfPn5+Rg8eDDu3buHo0ePol27dgCAsLAwBAYGokOHDhgyZAjOnj0LBwfDTffSSy/h5MmTmDdvHqZPnw4ACA8Px86dOxEZGYmxY8eiTZs2qFu3bim3CBERERFR9WD3T1b69u2LpUuXWh2oAMD8+fOhVqsxZswYKVDRmTRpElQqFVatWoWbN28apG3atAmXL19G69atpUBFp3379mjTpg0uXbqEb775xiDtxo0bWL16NVQqFSZNmmSQ5uXlhbFjx0KtVmPBggVWrwMRERERUXVn98GKQqEo1vwajQbbtm0DAHTv3t0o3dPTEy1btoRWq8WWLVsM0jZv3mw2HwD06NEDAIyCla1bt0Kr1aJFixbw9PQ0m2/r1q3QaDTFWh8iIiIiourK7oOV4rp69SpSU1MBAA0aNDA5j276yZMnDabrOsKXV76UlBRcv37d0irYDX4UkoiIiIhsye77rBRXTEyM9O/AwECT8wQFBRnNm5mZiTt37liVLykpCVlZWXBxcTFYjrl8+tNjYmIQGRlpcj61Wm0wUll6ejoAQKvVQqvVmsxTnmJvp1d4mURERERUMTQa29xjArC63CoXrOhu8BUKBZRKpcl5dEFGWlqaUT4AcHZ2LjKfLq/u/7q85vIpFAqoVCqo1WqDMgtbsGAB5syZYzQ9OTkZOTk5ZvOVlx6Rnth/rujhmomIiIiocpJrc6Uf6ytaRkaGVfNVuWClMnvttdfw8ssvS/9PT09HaGgo/Pz84OHhUeH1Ucuta0REREREVPm4urrC39/fJmU7OTlZNV+VC1Z0N/UajQZ5eXkmn65kZWUBgEFneP1gIDs72+SydfnM5TWXT6PRSK93meqAr6NSqaBSqYymy+VyyOUV370oIcX0+hARERFR5SeT2eYeE4DV5Va5Dvbh4eHSv5OSkkzOk5iYaDSvm5ubFFlayhcYGGjwSphuOeby6U/XL9PeJaczWCEiIiKqqirDWEpVLlipX7++9PTi8uXLJufRTW/ZsqXB9FatWpVrPi8vL0RERFhcByIiIiIiqoLBikKhwKBBgwAA+/fvN0pPS0vDyZMnIZfLMXjwYIO0oUOHms0HAPv27TOYT2fw4MGQy+X4448/THag1+UbNGhQsb8bY1PC1hUgIiIiouqsygUrADBr1iw4Ojpi9erVRsHDkiVLoFarMXr0aNSuXdsgbfjw4ahfvz5OnDiBY8eOGaQdO3YMv/32GyIjIzF8+HCDtDp16mDUqFFQq9VYunSpQVpqaipWrVoFR0dHzJo1qwzXsvzJ5ZXh4SARERERVVWVIlhJTk5GUlKSQd8PU9N0IiIisGLFCty9exe9e/fG0aNHERsbi48++gjR0dFo0aIFPvnkE6N8SqUSW7duhY+PDwYPHoxt27YhPj4e27Ztw+DBg+Hj44MtW7bAwcF4XIJPP/0ULVq0wFtvvYWPPvoIsbGxOHr0KHr37o27d+9ixYoVlaq/CgA0C/O1dRWIiIiIqJxUhg+Ay4QQdv+yT506dXDjxg2z6eZW4bfffsOCBQtw9OhRZGZmIiwsDMOHD8fMmTOLHC7tn3/+wZw5c7Bz507cuXMH/v7+6N27N6Kjo1GzZk2z+XJycvDBBx9g48aNiIuLg6urK9q3b4/XXnsNbdu2tX6F/5Weng5PT0+kpaXZZOjixPuZGL3klwovl4iIiIjK36gu9TGiYz2blG3tfW6lCFaqKwYrRERERFReKkOwUileAyMiIiIiouqHwQqZVxleZCQiIiKiKovBChERERER2SUGK0REREREZJcYrBARERERVUOySvDKP4MVMsv+my8RERERVWUMVoiIiIiIyC4xWCEiIiIiqoYqw1s0DFaIiIiIiMguMVghsypBnysiIiIiqsIYrBARERERVUOV4YdpBitERERERGSXGKwQEREREVVDQti6BpYxWCEiIiIiIrvEYIWIiIiIqBpinxUiIiIiIqISYrBCRERERER2icEKmSWrFN81JSIiIqKSsf97PQYrRERERERklxisEBERERFVQ+nZubaugkUMVoiIiIiIqqEMBitUmVWG4eyIiIiIqOpisEJERERERHaJwQoRERERUTVUGUZ+ZbBCRERERFQd2X+swmCFzKsE7ZeIiIiIqjAGK0REREREZJcYrBARERERVUOV4S0aBitERERERGSXGKyQefzQChERERHZEIMVIiIiIqJqSFYJfphmsEJERERERHaJwQoREREREdklBitklv0/GCQiIiKiqozBChERERFRNVQJuqwwWCEiIiIiqo5quDvZugoWMVghIiIiIqqG6gZ42LoKFjFYIbMqw6NBIiIiIiqZynCvx2CFiIiIiIjsEoMVIiIiIqJqSFYJxn5lsEJERERERHaJwQoRERERUTXEPitEREREREQlxGCFiIiIiIjsEoMVIiIiIiKyS1U6WFmzZg1kMlmRf3/99ZfJvCdOnMCAAQPg5+cHZ2dnNGrUCHPnzoVarS6yzMTEREycOBG1atWCSqVCrVq1MHHiRCQkJJTDGpYvWWV4kZGIiIiIqiwHW1egvDk7O6NWrVpm052cnIymbdy4Ec888wxatmyJbdu2ITg4GDt27MCrr76K77//HgcOHICbm5tRvosXL6JTp05QKpVYvHgxmjdvjtOnT2PSpEnYsmULfv31V0RFRZXp+hERERGVRs+HQrD3zK1i5+v3SG38cOpGOdSIKoqjg8LWVbCoygcrrVq1wqFDh6yePyYmBmPHjoWvry927twJLy8vAMD06dOhVqvx+uuvY9q0aVi+fLlBvvz8fAwePBj37t3D0aNH0a5dOwBAWFgYAgMD0aFDBwwZMgRnz56Fg0OV3+xERERUSfA9iupLXgl2fpV+Dawk5s+fD7VajTFjxkiBis6kSZOgUqmwatUq3Lx50yBt06ZNuHz5Mlq3bi0FKjrt27dHmzZtcOnSJXzzzTflvQpERERERFUCgxU9Go0G27ZtAwB0797dKN3T0xMtW7aEVqvFli1bDNI2b95sNh8A9OjRAwAqVbBSCYJtIiIiIqrCqvz7SBkZGXj77bfx/fff4+bNm1AqlWjQoAGGDh2KsWPHwtHRUZr36tWrSE1NBQA0aNDA5PIaNGiAI0eO4OTJkwbTT5w4YTEfAKN8+tRqtUEH/vT0dACAVquFVqu1sKZlzxZlEhERUcUSQti6CmQjQgib3e9ZW26VD1ZOnz4Nf39/zJkzB2FhYUhMTMTSpUvx/PPPY9WqVdi9eze8vb0BFPRX0QkMDDS5vKCgIKN5MzMzcefOHavyJSUlISsrCy4uLkbzLFiwAHPmzDGanpycjJycHGtWt0ylZ+VWeJlERERUsUp6j5GdlVXGNaGKlpqaijtO+TYpOyMjw6r5qnSwEhUVhQ8//BDTp083mNa9e3f83//9H3744QeMHTsW27dvB/DfkwyFQgGlUmlymbogIy0tTZqmywcUjD5WVD5dXlPBymuvvYaXX37ZYLmhoaHw8/ODh4eHxfUta46ZFR8gERERUcUyNTKqNZxN3MtQ5eLl5QV/fx+blG1tu6vSwUqrVq3QqlUrk2nR0dH44YcfsGPHDly7dg316tWr4NoZU6lUUKlURtPlcjnk8orvXqRQsEsTERFRlcfvqlVbtrrH1JVt1XzlXA+79dBDD0GhKBhb+ujRowAgPb3QaDTIy8szmS/r30eenp6e0jT9px7Z2dlF5iucl4iIiIjIFipDnFptgxUHBwfUqFEDAHD//n0AQHh4uJSelJRkMl9iYqLRvG5ubvD397cqX2BgoMlXwIiIiIhsoaT3q5XhRpcqvyobrGRnZ+PHH3/EgwcPTKbn5+fj7t27ACB9T6V+/frSU4/Lly+bzKeb3rJlS4PputfNipvPnmm0HB2EiIioqivp1V7GjxxQBaiywcrt27fRr18/s0MFnzt3DhqNBgDQpk0bAAUd6wcNGgQA2L9/v1GetLQ0nDx5EnK5HIMHDzZIGzp0qNl8ALBv3z6D+SoDxipERERVX8J90z/sWiJKHOaQvZBVgsdjVTZY0Vm7dq3J6e+88w4AoFevXoiKipKmz5o1C46Ojli9erXBiF8AsGTJEqjVaowePRq1a9c2SBs+fDjq16+PEydO4NixYwZpx44dw2+//YbIyEgMHz68LFaLiIiIqExo+esk2bEqG6woFArIZDKsWbMGo0aNwuHDh3Hjxg389ttveOqpp7B9+3ZERUUZBTMRERFYsWIF7t69i969e+Po0aOIjY3FRx99hOjoaLRo0QKffPKJUXlKpRJbt26Fj48PBg8ejG3btiE+Ph7btm3D4MGD4ePjgy1btsDBoUoPwEZERETVBF8Do4pQZYOV0NBQXL58GdHR0YiJicGAAQMQHh6O3r17Iz4+Hh999BFOnjxp8iOOTz/9NI4ePQo/Pz/0798fUVFRWLFiBd58800cOXIE7u7uJsts3Lgxzp49i379+mHq1KmIjIzE1KlT0a9fP5w9exaNGzcu79UmIiIiKp4SxhyV4A0iqgJkQgg++7NT6enp8PT0RFpamk0+Cnk3PRtPfXqgwsslIiKiihMV4o2Lt1KKnW9AqzrY8Xt82VeIKswnY9qhYYi3Tcq29j63yj5ZoTLAOJaIiKjK4xMSsmcMVsgshipEREREZEsMVoiIiIiIqqHK8FSNwQqZxbfAiIiIiMiWGKyQWfzYExERERHZEoMVIiIiomqsMnzFnKovBitklrMjP2BJRERERLbDYIXMcnNS2roKRERERFSNMVghIiIiqsZK+hIYXx+jisBghYiIiIiKjaFKVWD/e5HBChEREVE1VuIHJPZ/n0tVAIMVIiIiIio2xipUERisEBEREVGxsc9K5VcZdiGDFSIiIiIqtkpwn0tVAIMVIiIiIiKySwxWiIiIiIiqoVBfN1tXwSIGK0RERERUbOyzUvm5qBxsXQWLGKwQERERVWMlDToYqlBFYLBCREREVI2VOOhgtEIVgMEKERERERUbYxWqCAxWiIiIiKqzEkYd7LNCFYHBChERERER2SUGK0REVCYGtKpj6yoQUQnISvhoxdvVsYxrQmSMwQoRERERFZuTo/0Pe0uVH4MVIiIiIiKySwxWiIiIiKox9pMne8ZghYiIiIiI7BKDFSIiIiIqNiGEratA1QCDFSIiIqJq7M/Yu7auApFZDFaIiIiIqrGSPh/p3Ci4TOtBZAqDFSIiIqJK5pFwP1tXAc4cupgqAIMVIiIqE7n5WltXgajaUMg5hBdVDwxWiIioTFxPSrN1FYiIqIphsEJERGWCAwPZrz7Na9m6CkREJcJghYiIygSHMSWqOEW9BFbTx7XC6kFU3hisEBFRmWCsYr96NK1p6yoQEZUIgxUiIioTjFVsb3yPhianRwZ7VWxFiIjKCIMVIiIqE3wNrPoI83e3dRWqPQcFb+GoemBLJyKiMsFYxfYEn29VG84qfuOEqgcGK0Rk0Wfj2tu6ClQJyPjZh2pDxp1tc1Eh3mW2rNp+bmW2LKKyxmCFiCzy93S2dRWoEujOTtxElcL7T7exdRWIrMZghYiIyoTKQWHrKpAZAmXbz4T9k+xbcZ57PVTHl69wkl1jsEJEFvGVD7IGmwlR5WPpuHVh3xiyMQYrRGQR70HJGjXc+bqgzVXQL+T8AcP2ymoXNA71Qb0gT7Ppcu5qsjEGK+Vg165d6NmzJ3x8fODq6ormzZtj8eLF0Gq1tq4aUcnwYkVW4P2r/ZKBAUa1Uoxd/XTn+hjcpq7ZdDnbDdkYg5Uy9t5776F3795wcnLC3r178eeff6Jnz56YMmUKBgwYgPz8fFtXkaooF0frHtUHlKCzvIzRClGlUNSDFR7FVBIMcsnWGKyUocOHD+PVV19FVFQUtm3bhhYtWqB+/fp47733MH78ePzwww947733bF1NqqJUSus6N5fkLRFeq6isBHm72LoKRNVeTR9Xq+flkxWyNQYrZWj27NkAgClTpkCpVBqkTZ8+HQDw/vvvIzs7u6KrRhVsRMeICi/T2o/BlWQUH16qqKz4ujvZugpUBnhOsHMWTvMOiqL3YNPaPtK/GauQrTFYKSPJyck4dOgQAKB79+5G6ZGRkQgJCUF6ejp27txZwbWj6sDaGKS4v5INahNm9jWAiECPYi2LqjZrmhbve8pXUecBW990BvvwqVpFKe04C4Pb1IWfR8EPC3yyYv+m9m1i6yqUKwYrZeTUqVPQarVQKpUIDw83OU+DBg0AACdPnqzIqpW7Gvyl1C54ujhaNV/HqKBiL9vZ0fQrZpYuYvWsDGasfYWNypeu35OCw/8U2+uDm5d6Gd0aB1s97yPhfhbn6dk0pDTVoUrsneEtS5W/XpAnpvVrCsD2QS5ZZuoa7eOmMppWP9j8qG/2jMFKGYmJiQEA+Pn5QS43vVmDgoIM5i1MrVYjPT3d4A8AtFqtzf6sEejF4UoLs8UH0/w9rAsaFcW98ghR4vVpU9/fqvnWTOpcouVT2YoK8QJQ8mNaaC23k6p64+NiJqAvjuZ1a1g97+wnWpicLsR/520/vXOCVqu1+PS1VYTlAEgqpwS/3VfRXW8zRR1vQRaOYf3re0HbMLzeC60WDv/+aFFUB3uOcmofrPmBKbSGK8Z1izSabst7TGvbD4OVMqILLJydzZ8gXFwKHoGnpaWZTF+wYAE8PT2lv9DQUAAFr5jduXPHJn+PN/bBkEcMf4lvXtsLTUIKfjH3dlXi8ab/XeAcC70H2795EGr5mt8mrqriX+B93QqeIBQ+OL1cDPsJWVq2h7MDmoaW/DUmXfHuTsajcD0U9N9NQohPwfp7OhfM1zLMCzX+XQcnpeEhGOj53y8hAR4q/N/DgVKe5rU98VTbUOkCUli/h/zg7/Ff/iEtg6FykKOWz3/b/+XHItA8pKBuzWsX/MLSreF/+083TV+rWq64c+cOhrQMRv+HDdvC0EcCEezlZHJdXFUKNPQz3Cf6nmxdE0BBG3qQnmJynhDvgmWP61QbQME+Kwu6OpeU0sL73rWLaPM6kYFucJDL4OWiRLCXk7SvreX87/Ye2rKmNK2mt+X16hxZA+0ifIym13BzRM8oHzSr5YnhrYLRuq439FezXYQPOtX3NVj3wsecj2MeukcVtKcAD+Nf9QBgQDN/PBRq+te9xjU9pOPkkTpeZteh8LFdmgdBhY/fwkFHuL91HZE9FGrpuDalQz1fk9Ofaltwnq8f6IYgl4ILd9+HAtCxvi8aBv33xfkADxX6Ny84/prV8sTd5DuICi5IbxfhIx0rDfyUeLRxwY8EzYJV0vF/924yhj5S0MbcnRykfRdWo+C61K9ZIHo29EGDIDcAwNPtCurl42p8DHdr6IdBDwcAAB4K9UTLMG+0Cfc2mKdTpK90PnFTKdC+ng+ebmv6SY9uu3WK9MXLjxn393NTKRDu7yrVFQAi/t0vps6/hQV5mt8vptYPMH2OCPBQGezjgS2C0Dbiv21mSau6BduoYZA7hrUOwVNtQ6ByMH8bpn890HFSyjHkkWC4OCpQx9O44ddwc0TfhwJx584djPx3H7qqFOjW0M/guMnSO+feuXMHirwHBsvJzkyFmywHADC6fQj83AvWu22hc8edO3cAAM91rYNR7WthaMuaiPB3NbgeeLkoERnoZlC+qXUzty/KSkSAq9XHszV051Fz12SgYN07Rf537DerVXBMNK/thZZh3nDU2//1Av6rW4S/q3Svo093nOu2ZYf6vujW0A8BThrUcHOEl4sSbv+mjWpfsP/bhhfUc+gjQXCTqQ2WA8Bm95d37txBcnKyVdtaJmzxE3AVNH/+fLz++usIDw/H9evXTc4zceJEfPnll+jVqxd2795tlK5Wq6FWq6X/p6enIzQ0FCkpKfDwqPi+AVqtFsnJyUU+LSIqCtsQlQbbD5UW2xCVFttQ+UlPT4e3tzfS0tKKvM8tm58pSdrIRY30lZWVBQDw9DT9q6JKpYJKZfxrg1wut9kBIpPJbFo+VX5sQ1QabD9UWmxDVFpsQ+XD2u3JrV5GdJ3qk5OTzb6Dl5iYaDAvERERERGZx2CljLRo0QJyuRx5eXlmO9BfvnwZANCyZelG6SAiIiIiqg4YrJQRf39/dO5cMKLR/v37jdKvXLmCW7duwd3dHY899lhFV4+IiIiIqNJhsFKGoqOjAQCLFy9Gfn6+QdpHH30EAHjllVekUcGIiIiIiMg8BitlqHPnzpg3bx4uXLiAgQMH4vTp07h69SpeffVVLF++HH369MFrr71m62oSEREREVUKDFbK2KxZs/Dzzz8jOzsb3bp1w8MPP4zdu3fj008/xffffw8HBw7ARkRERERkDd45l4PevXujd+/etq4GEREREVGlxicrRERERERklxisEBERERGRXWKwQkREREREdonBChERERER2SUGK0REREREZJcYrBARERERkV1isEJERERERHaJ31mxY0IIAEB6erpNytdqtcjIyICTkxPkcsa1VHxsQ1QabD9UWmxDVFpsQ+VHd3+ru981h8GKHcvIyAAAhIaG2rgmRERERERlLyMjA56enmbTZcJSOEM2o9VqkZCQAHd3d8hksgovPz09HaGhofj777/h4eFR4eVT5cc2RKXB9kOlxTZEpcU2VH6EEMjIyEBwcHCRT634ZMWOyeVyhISE2Loa8PDw4AFKpcI2RKXB9kOlxTZEpcU2VD6KeqKiw5fviIiIiIjILjFYISIiIiIiu8RghcxSqVSIjo6GSqWydVWokmIbotJg+6HSYhui0mIbsj12sCciIiIiIrvEJytERERERGSXGKwQEREREZFdYrBCRERERER2icEKUTVx7NgxREZGQiaTIT4+3tbVISIiKpFp06ZBJpOhTp06tq4KVQAGK2Rk165d6NmzJ3x8fODq6ormzZtj8eLF0Gq1tq4alUB2djamT5+OTp064erVq1bnO3HiBAYMGAA/Pz84OzujUaNGmDt3LtRqdZH5EhMTMXHiRNSqVQsqlQq1atXCxIkTkZCQUGQ+tVqNefPmoVGjRnB2doafnx8GDBiAEydOWKzrxo0b0aFDB+mjXe3bt8eGDRusXlcy7ebNm3jnnXfQvn17eHt7Q6lUIiAgAH369MGWLVuKzMv2QwCQlJSElStXYtCgQahduzZUKhWcnZ1Rv359PPfcc0Wek65cuYKRI0ciKCgITk5OCA8PxyuvvIK0tLQiy0xLS8PMmTMREREBJycnBAUFYeTIkbhy5UqR+bRaLZYsWYIWLVrA1dUVPj4+6NmzJ3bt2mVxPXndrDgnTpzAokWLrJ6X56EqQBDpeffddwUA8fjjj4tTp06JK1euiJkzZwoAol+/fiIvL8/WVaRiuH79uqhfv76oXbu22LNnjwAgAIi4uLgi823YsEEoFArRpk0b8euvv4rr16+LDz/8UDg4OIiWLVuKjIwMk/kuXLggfH19RWBgoNiyZYuIjY0VW7ZsEQEBAcLX11dcuHDBZL6MjAzRsmVL4eDgID788ENx/fp18euvv4o2bdoIhUIhNmzYYLauzz//vAAgxowZI86dOyfOnTsnRo8eLQCI559/3uptRYYOHTokHBwchEqlEm+88YY4efKkuHbtmti8ebOoV6+eACCGDx8uNBqNUV62H9Jp0aKFACBGjRoljhw5IuLj48XJkyfFtGnTBADh4uIiDh8+bJTv4MGDwtnZWURGRopdu3aJ2NhYsWrVKuHm5ibq1q0rEhISTJaXkJAg6tatK9zc3MSqVatEbGys2LVrl4iMjBTOzs7i4MGDJvPl5eWJfv36CQDif//7n7hy5Yo4efKk6Nu3rwAg3n33XbPryOtmxVGr1aJRo0aiVq1aAoCoXbu22Xl5Hqo6GKyQ5NdffxUARFRUlMjNzTVIGz9+vAAg5s6da6PaUUl899134vnnn5dOytYEK9evXxcqlUr4+/uLlJQUg7R58+YJAOLZZ581ypeXlycaNGggAIijR48apB05ckQAEA0bNjR54R43bpwAIObNm2cwPSUlRfj7+wuVSiViYmKM8q1bt04AEL169TJK69mzpwAg1q9fb3Zdybzt27cLAGLRokVGaf/8849wd3cXAMSyZcsM0th+SF+LFi1E3759TaaNGjVKABDdu3c3mJ6SkiJq1KghnJycjPbbhg0bBADRo0cPk8vs0aOHAGB0YxgTEyNUKpWoUaOGSE1NNcr3zjvvCABi/PjxBtNzc3NFVFSUAGAyqOJ1s2JFR0cLLy8vsXHjxiKDFZ6HqhYGKyTp1q2bACA+//xzo7TLly8LAMLDw0NkZWXZoHZUEvn5+Qb/tyZYGTt2rPTrYmGpqalCpVIJuVwubty4YZD21VdfCQCidevWJpfbpk0bkyfd+Ph4IZfLhUqlMnkT8eqrr5q9sISHhwsAYufOnUZpu3btEgBERESE2XUl87Zv3y4UCoVIS0szmT5ixAiTN41sP6Rv9+7d4tKlSybTFi1aJACIJk2aGEx/++23BQDx5JNPGuXRaDQiODhYABBHjhwxSNMFDsHBwSaf+A0bNsxk8PDgwQMp+DZV1y+++MJsgMTrZsU5f/68cHR0FCtWrBAHDx4sMljheahqYZ8VAgAkJyfj0KFDAIDu3bsbpUdGRiIkJATp6enYuXNnBdeOSkqhUBRrfo1Gg23btgEw3Q48PT3RsmVLaLVaoz4LmzdvNpsPAHr06AEA+Oabbwymb926FVqtFi1atICnp6fZfFu3boVGo5Gmnz59GjExMXBwcEDnzp2N8nXq1AlKpRLXr1/H6dOnza4zmda3b1/cv38fHh4eJtNDQkIAAPfv35emsf1QYb169UKDBg1Mpv32228AgJ49expML6otyOVydOvWDYBxW9Dl69KlC+Ry49sbc21o165dyMjIQHBwsMm66vIdPHgQycnJ0nReNyuOVqvFuHHj0KFDB4wbN67IeXkeqnoYrBAA4NSpU9BqtVAqlQgPDzc5j+4kfvLkyYqsGlWgq1evIjU1FQDM3mCYawe6DoTllS8lJQXXr183ylerVi04Ozsb5XN2dkbt2rVNlkmWKZVKs4EKUNABFQCaNGkiTWP7IUvy8vJw9epVTJs2DRs3bsSgQYMwd+5cKf3Bgwe4cOECgPJrCxcuXEB2drbV+erWrQtHR0doNBqDG0ZeNyvOp59+irNnz2LZsmUW5+V5qOphsEIAgJiYGACAn5+fyV+kACAoKMhgXqp69PdtYGCgyXlMtYPMzEzcuXPHqnxJSUnIysoyKtNcPv3p+mVaymeurlR6+fn52Lt3LwBg0qRJ0nS2HyrK8OHDoVKpEBkZiR9++AE7duzA1q1bDW7S4uLipBG0itOG9P9vKZ9Wq0VcXJzV+WQyGQICAozK5HWzYsTFxeGNN97A22+/bTYo1MfzUNXDYIUAAOnp6QBgMrLXcXFxAQCLw0ZS5aVrBwqFAkql0uQ8ptqBLh9gvg3p8pnLay6fQqGASqUqdj5zdaXSW7VqFZKSkvD888+jZcuW0nS2HyrKwoULcfHiRezevRvt2rXDgAED8MQTT0i/ggPFawuF94ulfVrSNmSuTLahijF+/Hg0bNgQ06ZNs2p+noeqHgdbV4CIiCqP69evY8aMGWjbti0+/vhjW1eHKpHAwEAEBgaiQYMG6NWrF/z8/PDxxx8jLi4Ov/32W7H72FHVt3LlSvzyyy84deoU20c1xicrBADSu+n67/EWpnvkaarzGFUNunag0WiQl5dnch5T7UC/b4O5NqT/yNxUXnP5NBqN9AGv4uQzV1cqucTERPTq1QsRERHYuXMnnJycDNLZfqg4Zs+eDUdHR5w6dQo//PADgOK1hcL7xdI+LWkbMlcm21D5SkxMxIwZMzBz5kw89NBDVufjeajqYbBCACC9B5qcnGz2i7u6DrXWvDNKlZP+vk1KSjI5j6l24ObmBn9/f6vyBQYGGjxK1y3HXD796fplWspnrq5UMgkJCejevTv8/f2xf/9+kxdOth8qDnd3d9SpUwcAcPz4cQBAWFgYZDIZgOK1If3/W8onl8ulcq3JJ4TA7du3jcrkdbN87dmzB6mpqVi4cCHc3NwM/nr37g0AuHnzpsF0gOehqojBCgEAWrRoAblcjry8PLOduC5fvgwABu+oU9VSv3596SZUt78LM9cOWrVqVa75vLy8EBERYZTv5s2bJn+Vys7Oxo0bN0yWScVz48YNdOrUCf7+/ti3bx+8vb1Nzsf2Q/oSEhLwxRdfGAzVWpirqysAIDc3V/p/o0aNAJRfW2jUqJHBjaalfLGxscjNzYVcLkfz5s2l6bxulq9Bgwbh2rVrOHv2LP766y+DvxUrVgAAgoODDaYDPA9VSbb+0AvZj65du1r8uJW7u7t48OCBDWpHZQFWfBRyzJgxVn1MKz4+3iBt7dq1Vn1M66uvvjKYHhcXZ9XHtMaOHWuUVrduXYsf0woPDze7rmTZ1atXRWhoqOjVq5fRh+3OnDkjHn30UYNpbD+ko/tw35UrV0ym5+bmCldXVwFALF68WJo+Z84cqz4K+euvvxqk/fLLL1Z9FPLtt982mJ6ZmSnc3NwsfhSyW7duRmm8btqGpY9C8jxUtTBYIcmhQ4cEANGoUSORl5dnkDZ+/HiTJ3mqXKwJVq5duyYcHR2Fv7+/0Ul33rx5Zk+4ubm5on79+gKAOHr0qEHa0aNHBQARGRlp1LaE+O/CMn/+fIPpKSkpwt/fXzg6Oorr168b5dNdWHr16mWU1qtXL5MXFbLe+fPnRWBgoOjfv7/IyckxStfdMOhj+yEdXfuYNm2ayfT58+cLAMLV1VUkJiZK0+/fvy98fX2Fk5OTiI2NNcizYcMGs4GDEP8FDxs3bjSYHhMTI1QqlfD19RUpKSlG+XQB0oQJEwym5+bmiqioKAFA/PLLL0b5eN20DUvBCs9DVQuDFTKgO4gff/xx8ccff4grV66I//3vfwKA6NOnj8kDlOzbnTt3RGJiokhMTJSCld9//12aZspXX30l5HK5aNu2rThy5IiIiYkRH374oXBwcBAtWrQQ6enpJvOdO3dO+Pj4iMDAQLF161YRFxcntm7dKgIDA4WPj484d+6cyXzp6emiRYsWwsHBQXz44YciJiZGHDlyRLRp00bI5fIiT9QTJkwQAMSYMWPE+fPnxfnz56WLRuEbD7LeuXPnRI0aNQQA8dBDD4kWLVoY/eku6oWx/ZAQQhw+fFgAEDKZTIwaNUocOnRIxMbGisOHD4vnn39eyGQyoVKpxObNm43y7t+/Xzg5OYnIyEixe/duERsbK1atWiXc3NxEnTp1xD///GOyzH/++UfUqVNHuLm5iVWrVonY2Fixe/duERkZKZycnMT+/ftN5svLyxN9+vQRAMSrr74qrl69Kk6dOiX69u0rAIh58+aZXU9eNyuO7nq2detWAUCEhIRI17KMjAyDeXkeqjoYrJCRn3/+WXTv3l14enoKFxcX0axZM/Hpp5+K/Px8W1eNSqB27dpSkGLqz5zjx4+L//u//xO+vr5CpVKJBg0aiDlz5ojs7Owiy7t165YYP368CAkJEY6OjiIkJESMHz9e3Lp1q8h82dnZ4u233xYNGjQQKpVK+Pj4iH79+oljx45ZXMd169aJtm3bCjc3N+Hm5ibatm0r1q1bZzEfmbdw4cIi242lNsT2Q0II8ccff4gZM2aIVq1aCW9vb6FQKISLi4to1KiRmDJlirh69arZvJcuXRLDhw8XAQEBwtHRUYSFhYmXX37Z5JMRfSkpKWL69Omibt26wtHRUQQEBIjhw4eLixcvFpkvPz9fLFq0SDRr1ky4uLgIT09P0b17d/HTTz9ZXE9eNytGUdez6Ohoo/l5HqoaZEIIYa4/CxERERERka1wNDAiIiIiIrJLDFaIiIiIiMguMVghIiIiIiK7xGCFiIiIiIjsEoMVIiIiIiKySwxWiIiIiIjILjFYISIiIiIiu8RghYiIiIiI7BKDFSIiIiIisksMVoiIiIiIyC4xWCEiqsTmzp0LmUwm/a1Zs8Ym9cjJyTGoR506dcpkubNnz7aL9SMiIttgsEJEVE7u37+P2bNno2XLlvD09ISjoyOCgoLQvHlzPP300/jyyy9x+fLlUpUxbdo0JCYm4oknniijWpeMk5MTEhMT8fvvv5fpcmfMmGFx/ebNmwcfHx8cOHCgTMsuS/Hx8QZBl/7foUOHDOYtHKCVdQBorX379sHHxwcLFiyo0HKJiPQxWCEiKgcXL15Eo0aN8PHHH6Nfv37Yt28fYmJicODAAbz00ks4deoUJk6ciCFDhpSqHFdXVwQGBsLZ2bmMal5ygYGB8PPzK9Nlurm5WVy/jRs3IiUlBdu2bSvTsstSaGioUTD3+++/IzExEe3atTOYVxegTZ8+HQDQtm1bJCYm4uTJkxVa5+3btyMlJQUbNmyo0HKJiPQ52LoCRERV0fjx45GUlISvv/4aTz75pEFaw4YN0atXLzz88MM2ql3V8sorr+CLL77AmDFjbF0VsxQKBQIDA5GTkyNN8/PzQ2BgoNG8bm5u0h8AODo6mpyvvI0dOxZ//PEHnnvuuQovm4hIh8EKEVEZS0tLw7FjxwAAvXv3NjlPYGAgnnzySezbt68iq1YljR49GqNHj7Z1NaqcFi1a4LfffrN1NYiomuNrYEREZUyr1Ur//ueff8zO9+abb2Lr1q0m07KysjB//nw0a9YMrq6ucHZ2RoMGDTBmzBj8/PPPBmUUduTIEXTt2hXu7u7w8PDA448/jitXrpidPz4+HhMmTEDt2rXh6OgIPz8/9OnTB7t37zab58yZM+jfvz+8vb3h6uqKRx55BGvXrjU7f40aNcz2vRg9erRB34z4+Hizy9F36NAhg3z6AcuRI0eM0m7duoURI0agRo0acHZ2xiOPPIKff/65yO0ycuRI+Pv7w8nJCfXr18ebb76JrKwsm/Yl0Xf//n289tpriIqKgrOzMzw9PdG+fXusWLECGo3GYN5nn33WqK/Mzp070blzZ3h6ehpML2r9zPWp0f/z9/c3quutW7cwefJkhIeHw8nJCT4+PujRo4fJY6BHjx5GbWLlypVo2rQpnJycEBAQgOeeew4ZGRlluj2JyA4JIiIqc8HBwQKA6Ny5s0hKSipW3tu3b4umTZsKpVIp5s+fL65cuSIuXLggFi1aJDw8PAQAsWPHDoM8o0aNEgDEmDFjxKOPPipOnDghrly5It5//32hUChEzZo1RUZGhlFZhw8fFp6ensLPz0+sX79eXL16Vezdu1e0adNGABDvvvuuUZ6DBw8KZ2dn4e3tLVavXi3i4uLEyZMnxdChQ8W4ceMEAFG7dm2jdfr9999NpqWmporExEQREhIiAIi4uDijMnXrt3r1ammaWq0WiYmJ4pNPPhEAxKhRo6S03Nxcg7S+ffuK9u3bix9//FHExsaKzZs3Cx8fH6FQKMTJkyeNyrtw4YLw9fUVKpVKLFy4UMTExIizZ8+KF154QXTp0kUAEABEYmKiuHPnjvFONCMuLk7Ka2o99UVHR0ttyJSrV6+KWrVqCTc3N7FkyRIRExMjzpw5I1544QUBQPTp00eo1Wpp/rS0NJGYmCjatm0rAIiJEyeKbt26icOHD4vY2FjxzjvvCADi4MGDIjEx0ez+io6OFk888YRITEw0+Lty5YoIDAw02W6OHTsmvL29RUBAgNiwYYOIi4sTv//+uxgyZIgAIMaPH28w//379w3axIQJE8SLL74oLl68KP78808xcuRIAUD079/f2k1PRJUUgxUionLwxRdfSDelzs7O4qmnnhJbt24V6enpFvP27t1bABDvv/++UdrGjRsFALF9+3aD6bqbeW9vb5GZmWmQNmjQIAFArFu3zmB6SkqKCAgIEADE8ePHDdKys7NFUFCQkMvl4vfff5emZ2VliZo1awoA4rvvvjPIo9FoxMMPP2zyBleI/27UTaUJIUTt2rWLFazorF692ihYKZwGQBw9etQg7dNPPxUAxLhx44zyNW/eXAAQn376qVFa//79pWUWV1kFK/n5+aJJkyYCgNi0aZNR+lNPPSUAiFdeecUorXPnzgKAqFmzpsjOzjZIq1+/vrSdzO2v6Ohok9t6+PDhAoDo0aOH0Gq10vTU1FQRFBQkAIhjx44Z5NFoNKJjx44CgFiyZInRMnVtomfPngbT8/LyhJ+fnwAgbt68aZSPiKoOvgZGRFQOnnvuOSxZsgQ+Pj7Izs7Ghg0bMHjwYPj6+qJbt25YunQp0tPTjfKdPn0aO3fuhFKpxMSJE43ShwwZguDgYCiVSpPlPvHEE3B1dTWY1rp1awDAX3/9ZTB95cqVuH37Ntq2bYs2bdoYpDk5OWH06NHQarVYunSpNH3Lli34559/ULNmTfzf//2fQR65XI5JkyaZ3yg2FBkZaTTqlrntcvjwYZw+fRqOjo4YN26c0bKmTJlSJnVq1KiRQWf6wn/z5883m/e7777DuXPnpL5PhU2bNg0A8NlnnyElJcXkMsaPHw8nJyeDaVeuXDHaToVNmDABs2fPNpi2evVqbNq0CX5+fli3bh1kMpmUtnLlSiQmJqJVq1Zo27atQT65XI6pU6cCKPhmkLnXG8eOHWvwfwcHB7Ro0QJAwSuJRFR1MVghIionL7zwAv7++2+sX78eQ4YMgZeXF/Ly8nDw4EFMmjQJ4eHh+OGHHwzy7NmzBwDQoEEDuLu7Gy1TqVTin3/+Qd++fU2WGRERYTTNx8cHAIxuWnVlPfLIIyaXVbduXQDA0aNHpWm//PILAEg3ioU1bNjQ5HRbK8520a1jgwYNjAI/oOzW8eeff8Zff/1l9s9UsKqjv+/0AwOdZs2awdHRETk5Ofj1119NLqOk6xEcHGzQj+Xq1auYMmWK9NHOwiOX6eraqlUrk8vTTU9MTMS5c+dMzlOc/UdEVQtHAyMiKkcuLi546qmn8NRTT0Gj0eDo0aP4+uuvsXbtWty9exfDhg3DxYsXUbt2bQDAjRs3AKDE3yvx9fU1mubgUHCqL9zh+ubNmwCAL7/8EqtWrTLKp5tff5CAW7duFVk/Wwyxaw1T20X3dKrwdqmodaxdu3aRnfN1N+Om6NqJqY7sQMFQyb6+vkhMTJTmLawsvomTm5uLYcOG4cGDB3jppZfQp0+fYtc1ICDAYN6HHnrIaJ7i7D8iqloYrBARVRCFQoFOnTqhU6dOmDFjBh555BGkpKRg06ZNePXVV8ukDFO/slsyadIkvPDCC8VaphCi2OVYUh7L1CnJdinP+tiDkmyTwmbOnIk///wTDz/8MN57770yqJVpZVFXIqqc+BoYEVE5mD9/Pk6cOGE2vW7duhg2bBgAGAzVq3vCkpycXK710y9LCIGIiAizf+Hh4VKekJCQIuuXlJRktjyFQgHA/C/hd+/eLdF6lLXSrGNF0e2727dvm0zXaDS4d++ewbxl7aeffsKnn34KV1dXfP3113B0dCxRXfWnl1ddiajyYrBCRFQOli1bVuQ3PABInZv1X8fp1asXAODy5csmvyGRnZ2Nxx57DMuWLSt1HXVl/f777ybThRDo2bMnZsyYIU3r3LkzAOCPP/4wmefSpUtmy/P09ARguo9BYmIisrKyrKt4OdOt45UrV5CZmWmUXtQ6VhTdvjt58qTJTul//fUXcnNz4eTkhE6dOpV5+QkJCdJ3bT777DPUr1/fIH3NmjXSttPV1Vzwrmt/QUFBaNKkSZnXlYgqNwYrRETl5KuvvkJaWprJtMzMTGzfvh0ymQwDBw6Upjdv3hy9e/dGXl4evvjiC6N8a9aswe7du/Hwww+Xun7jxo1DYGAgjh8/jmPHjhmlb9iwAfv27UOXLl2kaUOGDEHNmjWRkJCA77//3mB+rVaLJUuWmC3Pw8MDYWFhePDgAS5fvmyQZqrPjK107NgRzZs3R25ursl6ffbZZzaolaH+/fujcePGuHPnDjZt2mSUvnDhQgDA5MmT4e3tXaZla7VaPP3001KfqzFjxhjNM2bMGOlJma6dnTp1CkeOHDFa1qeffgoAeP311yGX87aEiAzxrEBEVA50X91u06YNVq9ejYsXL+LWrVs4ffo0li1bhkceeQTx8fGYPXs2mjdvbpB3zZo1aNKkCV5//XW89957uHbtGi5evIgPPvgAL7/8Mv73v/+hZcuWAAqetCQlJSE7OxsAkJaWhqSkJGg0Gmg0GiQlJUkBU+F5PT09sW3bNnh6eqJ///5YuXIlYmNjcf78ecyfPx/jx4/HlClT8Pjjj0t1c3Z2xvr16+Hs7IzRo0dj7dq1uHHjBv744w8MGzYMHh4eACCVff/+fYN10/WNGT16NI4ePYr4+Hh8/vnnOH36NGrVqgWg4PUr3atWmZmZJtcvOzsbubm5JtcvMzPT4ronJydLr3kVnhcA1q1bB19fX/zvf//Dp59+Km2XyZMnF9nx3RxdGfqvlunWMzc312Be3Trrnkzo1lM/r0KhwNatWxEaGioNkx0bG4tz585h0qRJ2LBhA/r06YN58+YZLVdX3v37943WW0e/vML78t1338WBAwfg7e2NKVOm4Pz580Z/+nTtzNvbG4MHD8aGDRtw48YNnDp1CsOGDcPhw4fx7LPPGgx7rd+OddtKV5+i2jwRVUE2/coLEVEVlZCQIL744gsxfPhw0ahRI+Hh4SHkcrlwcXER9evXF88884w4cuSI2fyZmZli7ty5okmTJsLZ2Vn4+PiIdu3aia+//trgg3v6Hz3U/4uLizP4AKH+X+EPK968eVO88MILok6dOsLR0VEEBgaKLl26iM2bNxuUpe+vv/4S/fr1E56ensLJyUlERUWJd999V1y9etWgrNatWxvk02q14r333hN169YVSqVShISEiP/9738iJydH+gCg7i8vL0/6MKKpdTh48KDJtOjoaIvrXrgsmPioZGxsrBgxYoT0JfsGDRqI999/X+Tl5QkAQiaTWd0ezNUH/34xXp+5dTb1Mc179+6JV199VURGRgqVSiXc3d1F27ZtxbJly0R+fr5VyzX1gUdT8+k+TlmnTh2z61K4Deq7efOmmDRpkggLCxOOjo7Cy8tLdOvWTWzevNmofN1HQE2tf1FtnoiqHpkQVXy4EyIiojKUkZEBDw8PeHt7Gz05IiKissXXwIiIiAo5cuQIdu3aZTLt4sWLAGDyeyBERFS2GKwQEREVsm/fPkydOhV5eXlGabqR2Ex1LCciorLFYIWIiMiEq1evYtCgQTh8+DBu3ryJ06dPY9KkSVi1ahWGDRuGp59+2tZVJCKq8thnhYiIqJCbN29i/fr1+PnnnxEfH4/k5GQ4OTmhadOmGDNmDMaMGcOvqhMRVQAGK0REREREZJf4GhgREREREdklBitERERERGSXGKwQEREREZFdYrBCRERERER2icEKERERERHZJQYrRERERERklxisEBERERGRXWKwQkREREREdun/AY8vwMA1n2IuAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='SMR',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schdule for ASMR](plots/sch_asmr.png)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzkAAAHtCAYAAAA6IrAJAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB/40lEQVR4nO3deVxUVf8H8M/MAMO+KYsigoCgkmaSKy7l9gjmo4mWmoZimrlkalZqppZIPWmmZZkbmmupaE+La2kpGqLmiiuopAJisgoOMHN+f/ibeRhnBgZZBsbP+/Wal3LPOfece++ZO/d7l3MlQggBIiIiIiIiMyE1dQOIiIiIiIiqEoMcIiIiIiIyKwxyiIiIiIjIrDDIISIiIiIis8Igh4iIiIiIzAqDHCIiIiIiMisMcoiIiIiIyKwwyCEiIiIiIrPCIIeIiIiIiMwKgxyiOuLBgwdYtWoVwsPD4eXlBWtra1hbW6Nhw4bo0qULJkyYgHXr1uHvv/+u0npHjhwJiUSi9alt9u/fr9PGtWvXVnk9tXFdbN26Fc8//zxcXFwgl8vh7e2NPn36YOXKlaZuml6+vr4661D9ee6553TyHzx40GD+6trO+nTu3FmrXl9f3xqpl7R98803cHR0RFRUlMnaoG8/UN4+oaz8I0eOrNkFIHpCSIQQwtSNIKKyXblyBf369cOlS5fQqFEjDBkyBL6+vpDL5bh16xb27t2LI0eOaPKvX78ew4cPr5K6jx49iuTkZBw6dAgrVqwAANS23UZ6ejr2798PABgxYgQAIDY2tsoPHmrbupg/fz5mz54NBwcHTJw4EX5+frhw4QKWLVsGT09PXL9+3WRtM2Tnzp3Iz8/XWoczZ85E8+bN4eHhgV69emnlz8jIwL59+wAA0dHRuHjxIurXr4/FixcDADp16gQ/P79qb/fevXtx584dxMXFYceOHfDx8amV69fcPfXUUzh//jwA4O7du6hXr16Nt0G9H7h79y6mTJkCAHjxxRcxcOBAANC7792wYQMAaPoPACxevBj169eHv78/OnbsWEOtr35z584FAAwYMACtW7c2aVvoCSeIqFa7f/++8PX1FQDEmDFjhEKh0Jtv3bp1QiqVCgBi5cqVVd6O2NhYAUDU9t2Guo2xsbHVVkdtWBeZmZnCyspKABA//PCDVtp7770nfHx8TNMwI5VehwcOHDCqTLdu3QQAky7bnDlzTN6GJ9myZcuEg4ODGD58uKmbIq5du6bpw3PmzDGqjLr/ABDXrl2r1vaZSk3sg4mMwdvViGq5devW4fr163B0dMSSJUtgZWWlN9+rr76quYpB5u/PP/9EUVERAOjc5vXee+/h119/NUGriKrX+PHjkZubi/Xr15u6KURUyzHIIarlfv/9dwBAixYtYGNjU2beYcOG1USTqBa4d++e5v+Ojo5aaU5OTvD396/pJhEREdUaDHKIarl//vkHAJCZmVlu3vbt2+PTTz9F+/btq7tZZGIqlcrUTSAiIqq1GOQQ1XIuLi4AgJSUFBw7dqzMvE5OTnj77bfRsmVLg3mEENi0aRP69OkDDw8PWFpawtXVFR07dsS7776LxMREo9p18uRJDBw4EO7u7rC2tkZwcDAWLlxo1MH3gQMHMHjwYDRs2BBWVlaoX78+unXrhi+++AIKhaLMsnfu3MGkSZPg6+sLa2treHl5YejQoTh9+nSZ5Tp06FDmSF7p6elVPnJXbm4uPvzwQzzzzDNwdHSEra0tAgICMHr06HLba4h6ZKdRo0ZpppU36ldxcTGWLVuGbt26oX79+ppR2IYNG4b4+Pgy63l01KikpCS8+uqr8Pb2hoWFhSbNlA/hlzUCW+l2rV271qgR3bZt24bnnnsOTk5OcHBwwDPPPINFixahpKSkzHYYGjVr48aN6Nq1K+rVq1dmvefOncNrr70GPz8/2NjYwMXFBe3atcPHH3+M+/fvl7seSrfb3t4ewcHBeP/995Gfn4+5c+fqtO/UqVM680hPT8f06dPRokUL2NnZwd7eHs2bN8ekSZOQkpKik1/ful+7di3y8/MxY8YMBAQEwNraGp6ennj11Vcfe/RHfe1/tM89OnKfeh1v374dnTt31mzPzp0748cff3ysdtSk/Px8xMTEoF27dnBxcYGNjQ38/f3x2muv4dy5czr5Hzx4oLOO1IMAqG3ZsqXc9ah269YtvPXWW2jevDlsbW1hbW2NgIAAvPLKK9iyZQsePHigyXv9+nWd0eVGjRpl1IiEFe33pesqvZwlJSX45JNPEBwcDBsbG9SvXx8DBw7UDFRBTyBTPxRERGVbtGiR5kHORo0aid27dz/2vLKzs8Xzzz8vAAhvb2/xwQcfiJUrV4oPPvhANG3aVFPPG2+8oVO29IPi+/btE97e3uL9998Xq1evFm+//bawsbERAMTEiRMN1q9UKsXEiRMFAOHq6iree+89sXr1ahEdHS2aN28uAIjg4GCRmpqqt/y5c+eEu7u7ACCCgoLExx9/LFauXCnGjx8vnJ2dxe7duw0+9Lp7926xfv160aVLFwFAdOvWTSu9sLBQrF+/Xqxfv77cB2eNGXjg1KlTokGDBgKA6NWrl/jiiy/EihUrxMiRI4WFhYWQSCRi4cKFBssbcuTIEbF+/XoxduxYTRvU7V6/fr3YsWOHVv6///5btGzZUgAQzZs3FzExMWLlypXizTffFLa2tgKAmDp1qlCpVOXWc+DAAVG/fn0xceJEsXLlSvHee+8Ja2vrx3qIuioHHkhPTxfr168XYWFhAoCQSqVi1apVYv369SI/P1+TLzk5Waxfv14MGzZMABBffvml2Lt3r9a8JkyYIAAImUwmoqKixIoVK8Snn34q2rRpI3r27Cnef/99gwMPqLdBs2bNBAARGRkpJkyYIAIDA8WCBQvEN998I/r27au3/y1atEjIZDJhYWGhqXfRokWiXbt2mu/ruXPnDK6bstodGBgoJk2aJACI+vXra9p57949rXns27dPODo6ColEIgYNGiSWL18uvvrqKxERESEkEomQy+Vi8+bNetd96e/Nl19+KVq3bi2GDBkiVqxYIRYuXKj5fnt7e4usrCzDG9mA06dPi/Xr14uZM2cafHB/x44dOt/xjz76SAQHB4uFCxeKlStXipdeekkAEBKJRHz//fcVbkdp1TnwwNmzZ4W3t7cAINq1aycWLVokVqxYIaKiooSFhYWQyWTis88+0yqjVCo126J+/fp623X9+vVy16MQD/dfLi4uQiaTiZdffll8/vnn4uuvvxZvvPGGZl8fHBysyZ+fn6/TD8aOHVvmvkmIx+v3petSL+f7778vevfuLfr06SO+/vprsXTpUtG+fXsBQDg5OYmrV6+Wu23I/DDIIarl7t69q9mRqz+tW7cWn332mbhx44bR81EqlZoAp2XLljoHGgqFQgwcOFAAEP3799cpX/qgNDg4WKSkpGilb9iwQXOAaejHW32A2LBhQ51A5sGDB6JHjx4CgHj22WdFcXGxVvr9+/dFkyZNBADRoUMHUVBQoJV+9OhRzUFBWQFKZGSk3oPM0iob5KSlpQk3NzfNj++j9uzZoxkJT98PvzGMCbTu37+vObjs2bOnePDggVb6qVOnhL29vQAg5s6dW249AQEBIjExUSt9/vz5lQ5ydu7cKTIzM8v9dOrUqcyRzX7//XfNPL/77juDdXfp0kW0b99eZ/rXX3+tKR8XF6eVVlJSIgYOHKjZrmWNrqYOxry8vESXLl1EYWGhJk2pVIrAwECt/qdeFzKZTOckhlKpFK+++qoAIDw8PERGRsZjtVsmk5XZ7rNnz2oC1lWrVumkr1q1SgAQlpaW4tixY3rnoW5DgwYNdA7A7927J+rVqycAiHnz5uktb4wDBw6UGySov+MeHh6iQ4cOWutfCCFGjRolAAg/P7/HbocQ2kHO9OnTjerD06dPL7f96enpwsPDQwAQr776qlAqlVrpu3fv1mzPtWvX6p2Hj49PmcFXeeuxQ4cOAoDeEzFnzpwRNjY2BvtSeftPtcr2eyH+t5wNGjQQb775plaaQqHQnHAYNWpUmW0h88Qgh6gOOHLkiObg6tHP008/LebMmSOuXLlS5jxKH1QeOnRIb55bt24JmUxWbpCj74BYoVBoDpK+/vprnfTLly9rfpjXrFmjt/6kpCRNHRs3btRK+/jjjzVphg6y1FeJTB3kjBgxQgAQTZo0ESUlJXrzqM8oBwUF6VxFMYYxQc7cuXM1BxHJycl686jPLBvKU7qeadOm6aSfPn1aREZGiszMzMduf0U/hg6uVCqV8Pf3FwBEnz599Oa5cuWKACCWL1+uNb2goEC4uLgIACI8PFxv2bS0NGFpaWl0kANAnDlzRid92bJlIiYmRgghRE5OjnB0dBQAxMiRI/XOLzs7Wzg5Oek9WKuqdquvfnTt2tXgcqnPrvfq1UtvunqZmzRponNgLoQQI0eOFAD0BpjGqkiQA0D89ttvOukHDx7UpF+4cOGx21I6yHmcj6H2q9eTk5OTyM7OLnMZnZycRE5Ojk56ZYKc7OxsTdrZs2f1ln/llVcqFeRUtt+rqZfT3t5e5Obm6qSr94EeHh4G20Lmi8/kENUBHTt2RFJSEqZMmQIHBwettNOnT2PevHkIDAxEREQEUlNT9c5j2bJlAABvb2907txZb56GDRuiW7duOqN1Papv374606ysrNCkSRMAD19e+qgVK1ZAqVRCJpMhIiJC73ybN2+Oxo0bAwA2b96slbZu3ToAD++7b9u2rd7ygwYNKrPdNSErKwtbtmwB8LA9MplMb74+ffoAAC5duoSTJ09WeTuEEPj6668BPHweydALM1955RUAgFKpxDfffFPmPPVtt1atWmHt2rWoX7/+Y7d14cKF2LdvX7mfVq1alTkfiUSCyMhIAA9f3nnr1i2dPGvXroWNjQ2GDBmiNf3HH39EVlYWAOCll17SO39PT0+EhoYavVyBgYF6n48bP3483nvvPQAPXxKZm5sL4H/b4lFOTk6a79zGjRuRnZ1dpe0+f/48Dh06BAB4+eWXDeZT99n9+/fj7t27BvOFh4dDKtU9vGjevDkA/fuH6uDg4IBu3boZbEdVtmXEiBFG9eHyhvnPzs7Gpk2bAAAvvPACnJyc9OZT95WcnBxs3LixSpZBrfRzlYcPH9abZ968eZWqt7L9/lHdunXT+W0E/retMzIykJeX99jtpbrJwtQNICLj1K9fH5999hmio6Px008/YefOnfjll180O34hBOLi4vD777/jwIEDWgdXOTk5mgPpNm3alFmPMe9Xadq0qd7pzs7OmvoedeDAAQAPg6yioiKDB0nu7u5ITU3VGgDh3r17uHDhAgCU+Qbt4ODgctte3eLj41FcXAwAaNKkicHltLe31/w/MTERISEhVdqO8+fPIyMjAwDKnHfTpk3h6OiI3NxczTYypPTBYVUKCQnR+yD+o9SDcJQlMjISc+fOhUqlwrfffosZM2Zo0tTTXnzxRZ2Dx9IDMJTXxw4ePFhuOwDj1tdvv/2m+X9Z2ykkJASbNm1CUVERjhw5gvDwcABV0+7S293Hx8dgn1WvMyEEjh8/rgl6HvU4+4fq4O/vrzfYUrejKtvi5+eHnj17lpvPUNBQOl39/qvy+oPagQMH8MYbbxjZ0vK5uLigefPmuHDhAiZPnoyUlBS88cYbmpNYwMN1W5lh6ivb7x9VXp8DHm5rfYEQmS9eySGqY2xsbDB48GBs3LgRmZmZ+Pnnn/Hvf/9bM6rNP//8ozmbrXb9+nXN2bmGDRtWug2GfijULyrVNwpVcnKypi1ubm4GP8ePHwfwcMhsIQQA4MaNG5r5NGjQwGC7jDkIrm7q5QQenrE3tJylz7qrg5HqaoeXl1eZedV9onQZfcq7wlcbNG7cGN27dwcAxMbGaqXt378ff//9t9bIdGqlR5iqqj5mzPpSr3P1qFKGlN6GpbdTVbS79PxeeOEFg3122rRpmnxl9dny9g9KpdJg2apUXjsA/fsqUzL2e+vq6gpra2udMlVl5cqVcHFxQVFRET799FP4+fmhXbt2iImJqZL6KtvvH1UXtzVVP17JIarDLCwsEB4ejvDwcBw8eBB9+/ZFQUEB/vrrL5w9e1ZzNSc/P19TRv3DWBn6zo6WR92GgIAAzW1U5RFCQCKRaA0jWlb7Dd0aVpNKr+sPP/wQHTt2LLeMoaFVq6od5W1zdbr69hFDHme7m8LIkSOxf/9+XLlyBYcPH9bcnrl27VqtIKi06uhjxqwv9XYydhsB2tupKtpduq988803Bm9tLK1Zs2YG02pLP6kt7aiIin5vHzx4UO739nGEhobizJkzWLx4MdauXYt79+4hMTERiYmJmDlzJsLDw7F06dLHvppT2X7/qLq4ran6McghMhPPPfccJk+ejJiYGADAxYsXNUFO6bNcpd9tUJMcHByQlZUFmUxm1G0dpZW+taus9lfFGeLKvmSz9Lpu2rRphZe1qlRkm6vTDd3/X9cMHDhQcwtebGwsOnfujOzsbOzYsQPTp0/Xe0D0aB8zdBWmqq9CqLeTsdsI0N5OVdHu0n2lVatW6NChQ9mNpmpTU99bY/ZzjRo1wqJFi/Dxxx9j79692Lx5M+Li4lBYWIhffvkFx44dw7lz5+Dh4VHh+ivb74mMwdCXqJZbuHAhPD09Nfdpl6X0wYn6Vi/g4bMh6gO727dvV30jjRAQEAAAuHnzplbbjOHj46O5HS8tLc1gPvUD2GWxsHh4bsfQrQuVPSuqXk4ABgeBqAml21HeNlenV+Ye+9qk9MAC33//Pe7fv48tW7ZAoVBoXtD5qNJX0yrbxypCvZ0KCwvLfLC69CAKpbdTVbS7tvRZMv57m5WVpQkA9H1vq3I/Z2lpib59+2LDhg1ITU3VDBRw9+5dfPbZZ0bPp7TK9nsiYzDIIarl8vPzkZGRofdt448qfXbO29tb838HBwc8++yzAIATJ06UOY/XX38dL730UpVf8Xn++ecBPLy9Rt/butX+/PNPWFhYoF+/fpppLi4uaNGiBQDgr7/+Mlg2KSmp3Haoz3Qb+mG9fPlyufMoS6dOnTT3gSckJJSZNzw8HBYWFlqDLFSV5s2bw9PTE0DZ2/zq1auaAx71NjIH6mAmPz8f27ZtQ2xsLLp27WrwVqzSIw5Wto9VROl1XtZ2Ug8cYmVlhU6dOmmmV0W7S7ehvD4bHBwMKyuranmOjLT3H2X1h9Jp+r63ldnPZWdn4/3339ebp379+oiNjdU8x1fWvrwsle33RMZgkENUR3z33Xfl5tm9ezcAoF69ejrDLE+YMAHAwysp6uFiH3X69GmsWLECt2/frpJnd0p7/fXXNc8FrF271mC+1atXQ6lU6gzxqx5M4caNGwaDgu3bt5fbjsDAQABASkqK3rOcP/30U7nzKIuzs7PmTOfu3bsNHgzeuHEDe/fuhb+/vyYArUoSiUQz4tLRo0dx7do1vfnUw9XKZDKMHTu2ytthKh07dkRQUBAA4KOPPsKxY8f0Djig9sILL8DV1RUAsHXrVr15MjIyyh0dq6JeeeUVzW046m3xqNzcXE2/HD58uNZtO1XR7ubNm2sOOrds2WLwBEd8fDySkpLQrVu3x7pFicpXev/x008/Gbziou4rTk5OeodgVu/nLl26pLd8Wfu57OxsREdHY9++fXrTLS0tNUPGlx69TM3W1hYANKNMAsAff/yBZs2aYcWKFQAq3++JjMEgh6iO+Pjjj7Fr1y6D6Zs3b8bq1asBPHyHgfp2BbXhw4drHrieOHGizo9nQUEBxowZAwB4//33q7LpAB4OsTp79mwAwJdffqk1hKjatm3bsHr1arRp00bnfR0TJkzQDGE6efJkFBYWaqUnJiZizZo15bbjX//6FyQSCQoLC3WCopSUFMTFxVVoufSJiYmBh4cHCgoKMHr0aCgUCq30vLw8DBs2DEqlEjExMZpb8ara9OnT0bx5cyiVSowbN07nlsezZ89i4cKFAIAPPvjAqAfO6xJ1UJOcnAx7e/sy36NkbW2NBQsWAAB++eUX7Ny5UytdpVJh0qRJFb7VsjyOjo5YsmQJAODbb7/VObBUqVR46623kJOTAw8PD80zdxVtd3mjwi1btgy2tra4ffs2Jk+erPPMRkZGBkaOHAkLCwtER0c/zqKSkdT7j+zsbLz11ls622L//v1Yv349AGDp0qV6RxYLCwsDABw6dEjnFsS4uDijRkj77LPP9F4JOn78uObK4ODBg3XS1cM5l673zz//xKVLlzRtrWy/JzIGBx4gquUaNmwIS0tLPHjwAOHh4ejWrRt69uyJhg0bQgiBv//+G3v37sXRo0chk8kwZ84czVWb0qRSKeLi4jBgwAAcPHgQLVu2RFRUFLy8vHDjxg2sW7cOf//9Nz788EOt91+cOXMGZ86cwdGjRzXTNmzYAAB48cUXYWdnh3379iEjI0Nz1SIlJQUbNmyAvb09BgwYoCn3wQcfIDc3F5999hl69+6NYcOGITQ0FAUFBfjjjz+wc+dONG3aFHFxcTpBmq2tLX788Uc8//zzOHr0KNq0aYNRo0ahXr16+OuvvxAbG4tPP/1Us+xHjx6FhYUFfHx80KVLF818mjRpgvHjx2PZsmWIiorCiRMn0Lx5c1y7dg3r1q1DbGwsevTooTUPPz8/dOrUCUePHkVycrLeddGpUydNkODh4YH9+/cjPDwcP//8M1q1aoURI0bA09MTycnJWLduHdLT0xEdHY2BAwdWqD+U1YbS2wR4+GzK3r17ERYWhr179+KZZ57Bq6++ivr16+Ps2bNYtWoV7t+/jylTpmgCULWytvuj27Uidu7cifz8fK357tu3Dzdv3oSHhwd69eqllT8jI0NzAKTuX/fv39e73h81YsQIzJo1C0qlEi+99JJmvRjy+uuv4+zZs1i2bBkGDRqEyMhIdOzYETk5Odi8eTPu37+P8ePHY+nSpVpt6NevH5ycnDTL9uj3AHj4QL+hl5lGRkbin3/+wTvvvIPw8HBERkaiQ4cOyM/Px5YtW5CQkABvb2/88ssvcHd3r3C7XV1dMXbsWMyfP9/gsjdv3hw///wzBg4ciBUrVuDEiRN4+eWX4eTkhIsXL2LNmjUoLCzEqlWr0K5dO025+/fvY8eOHVrzUn9v1MuckpKCI0eO6O1LvXr1MuqqkLo/qt+XBTzsS/Xr19fUo94PqW/tzcjI0NkPlf6ulG6rv7+/USMhqsskJydrvU/ozJkzmnkPHz5cp4w67cyZMzrtf7Tu0vuP2NhYJCUl4eWXX4a9vT0SEhKwbt06CCGwaNEivPrqq3rbOGzYMHz++ec4deoUunbtinHjxsHd3R3Hjh3Db7/9hoULF2LYsGFa7ejYsSP8/f1hZWUFuVyOlJQUBAQEIDIyEk2bNoVSqcTZs2exYcMGlJSUYOLEiXr3AyNGjMDp06fx9ddfa4ah/vjjj+Hu7q71IunK9Hv1+lSPLqhe/+p1qd5v6OsvZe0zyMwIIqr17t27JzZu3Chef/110aFDB+Hh4SHkcrmwtLQU9erVE+3btxfTp08XFy5cKHdeKpVKbNiwQfTu3Vu4ubkJCwsL4e7uLvr37y9+++03nfxz5swRAPR+rl27JoQQolu3bnrTfXx89LYhPj5eDB06VDRq1EhYWVkJBwcH0a5dO/HJJ5+I+/fvl9n+jIwMMXHiRNG4cWNhZWUl3N3dRd++fcWvv/4qhBA6bYiIiNCZh1KpFJ9++qlo0aKFkMvlon79+uLFF18Up06d0juPV155RQghRGRkpMF1ERsbq1NPXl6eiImJEW3bthWOjo7C0tJSNGrUSAwdOlQcPXq0zOU0pKw2lN4mpSkUCvHll1+KLl26CBcXF2FlZSW8vLzEkCFDxOHDh/XWU9Z2N7RdjeHj42Nwvt26ddPJf+DAgTKXV996Ly0sLEwAEIcOHTK6jVu3bhVdu3YVDg4OwtbWVjRv3lzMnDlT5OXl6V0vZ8+eLXfZ5syZU269Z8+eFaNHjxa+vr5CLpcLR0dH8eyzz4oFCxaIvLy8CrXb3t5ePP3002LhwoWiuLhYfPDBBwKA8Pf3L3MemZmZYubMmaJly5bCzs5OWFlZCT8/P/Haa6+J8+fP6+S/du1aucscGxtrMM+BAwfKXS4hyu6P6nqM2Q8ZmkdkZKRR7RCi/O+gPmXlN1S3ev/x7LPPCkdHRyGXy4Wvr6+IiorS9Lmy/PPPP2LixInC29tbWFlZCW9vbzFx4kSRmZmp93u1cuVKTdnMzEzxxRdfiBdeeEE0btxYyOVyYWVlJRo1aiQiIiLEnj17DNarVCrFRx99JPz9/YWlpaXw9PQUL774orh8+bLe/I/T78tbl2XtN8rbZ5D5kAhRxdfeiYiIaon+/fvjwoULlR5Qoq6bOnUqFi9ejLZt2+LYsWOmbg4RUbXjMzlERGSWMjMzsWvXLoPDRpuLzMxMnD17tsw8V65cAQA89dRTNdEkIiKTY5BDRER13v3793VGkNu4cSOUSqXB5xbMxfbt29GmTRuD78LJy8vDwYMHATy8skVE9CRgkENERHXevn37EBAQgJycHACAQqHAl19+ib59+6JRo0Ymbl31Kykpwdy5c3WmCyHw5ptvIj8/H+3bt9d6/xQRkTnj6GpERGQWVCoVhg0bhgEDBmDnzp1ITU3Ftm3bTN2saqcegnzp0qU4efIk+vbtCw8PD6SlpWHr1q04deoUgoODsW3bNkilPLdJRE8GDjxARER13okTJzBu3DhcunQJJSUlaNGiBT788EOEh4ebumnVrqSkBD///DN27tyJxMREpKamoqCgAA4ODggODsagQYPw+uuvw8bGxtRNJSKqMQxyiIiIiIjIrPB2NTOkUqlw+/ZtODg4VNub1ImIiIiIapoQAnl5eWjYsGGZt+AyyDFDt2/fhre3t6mbQURERERULf7+++8yB5ZhkGOGHBwcADzc+I6OjjVev0qlQmZmJtzc3PiQKz0W9iGqLPYhqgz2H6os9qHqk5ubC29vb83xriEMcsyQ+hY1R0dHkwU5Dx48gKOjI7/Y9FjYh6iy2IeoMth/qLLYh6pfeY9kcK0TEREREZFZYZBDRERERERmhUEOERERERGZFQY5RERERERkVhjkEBERERGRWWGQQ0REREREZqVOBTlHjhxBUFAQJBIJrl+/burmEBERERFRLVQngpzCwkJMmzYNXbt2xeXLl40ul5CQgAEDBsDNzQ02NjYIDg7G/PnzoVAoyiyXlpaGcePGoXHjxpDL5WjcuDHGjRuH27dvl1lOoVAgOjoawcHBsLGxgZubGwYMGICEhIRy27pp0yZ07txZ826b0NBQbNy40ehlJSIiIiKih2p9kJOcnIzWrVtj+/bt2LVrl9HlNm3ahNDQUGRkZCAuLg7nzp1DVFQU5s2bhy5duiA/P19vuaSkJLRs2RI//PADFi9ejIsXL2Lx4sXYuXMnWrVqhaSkJL3l8vPz0aVLF8ydOxdRUVE4d+4c4uLikJGRgdDQUGzatMlgW8ePH49XXnkFgYGBOHLkCI4cOYLAwEAMHz4c48ePN3qZiYiIiIgIgKjlfvjhB/HGG2+IvLw8IYQQAAQAce3aNYNlrl69KuRyuXB3dxdZWVlaadHR0QKAeO2113TKFRcXi2bNmgkAIj4+Xivt8OHDAoBo3ry5KC4u1ik7evRoAUBER0drTc/KyhLu7u5CLpeL5ORknXLr168XAETv3r110nr16iUAiA0bNhhcVn1ycnIEAJGTk1OhclVFqVSKtLQ0oVQqTVI/1X3sQ1RZ7ENUGew/VFnsQ9XH2OPcWn8lp2/fvvjqq69gb29vdJkFCxZAoVBg1KhRcHZ21kqbMGEC5HI51qxZg9TUVK20zZs34+LFi2jfvj06deqklRYaGooOHTrgwoUL+O6777TSbty4gdjYWMjlckyYMEErzdnZGVFRUVAoFIiJidFp69y5cwEAU6ZM0UmbNm2aVh4iIiIiIipfrQ9yZDJZhfIrlUrExcUBAHr06KGT7uTkhLZt20KlUmHbtm1aaVu3bjVYDgB69uwJADpBzvbt26FSqRASEgInJyeD5bZv3w6lUqmZfvLkSSQnJ8PCwgLdunXTKde1a1dYWlri6tWrOHnypMFlJiIiIiKi/6n1QU5FXb58GdnZ2QCAZs2a6c2jnp6YmKg1XT1AQHWVy8rKwtWrV3XKNW7cGDY2NjrlbGxs4OPjo7dOIiIiIiLSz8LUDahqycnJmv97enrqzdOgQQOdvPn5+bhz545R5dLT01FQUABbW1ut+RgqV3p6cnIygoKCjCqnrvPq1atabX2UQqHQGjEuNzcXAKBSqaBSqQyWqy4qlQpKlQr38gphZWmB4hIVLGQSWMikeFCk1MlvZSFFUYn+dlpZSqEoVkFioC6JBBDif39bW8lQXKJCiUoYLFMWAUDy//9K/3/ej9ZRG1laSFGiVFWonepltbJ4eK5DvQ3U0x+d/6P5ZFKJzva0kEmhVKlgbSlDiUpACAGJRAKJBLCUSXH/QYnW9lavZ+BhelGJClYWUqhUKmTfL4IsrxBSieFzMfraqiaVSiABoFQ9XCm1YTvqa0NZy2BpIUWxge8GUPZ3p7x5l6V0O2VSCaytZFCpBAr/f3s/2hdUQsDBxhLFJSoUK1WwlElhaSFF/oMS2FrJYGkhRV5h8f/P72FftbKQQiZ7+H97a0vkFhShRCUgt5RCCOgst1QqgVQClCj1b0T1strbWEJRrISiuATZ94sgzS2ETFr15/MMbUt5Odvk0fxl7dssZFJIJEBRsUonr5WFFMX//53X1w+sLKWwkEpRWFQCaysLPCgqgRD/61MSCWArt4ClTIqcgiJYW1lAUayESqW9UOrvvqJYCQuZFIVFSk077Kwf7t8t/78/5D8o0aRJJICNlQUKFNrfeWsr2cPvpRCa9adehsKiEkgkEsj+f6dg+f/LX6Aoga3cAvcflJS5/sr7Pjy67mRSiVZ/Kr3/F0KF/AfFBvdB6rpK/1aUpSL59PUJieThd0cqfdgfyipvKZNAJQCVSvyvnASa/mJj9XD/DDzMo1QJzTpRf3fV61r9vVOqBCxkUljKHm4nqUQCS4uH31WlSoUSpYCdtYVmH16iFJp1bPX/+QoUJZrfKmtLGQSAB0VKONhY4kGxElal6gWg6QePtq/0Ni69n1d/J9W/Q9W1vzd2W6qECllG/I4Zy8pSCpUKKFHq7hvV66D0d8BCJoHcUobCIt3v9aP7eIGH/UL9XSsqUWmO3WTSh+u+9O+plYUUdtaWlV6mx2Xssa3ZBTnqA3yZTAZLS/0bQB2c5OTk6JQDoPeqSuly6rLqv9VlDZWTyWSQy+VQKBR66zRUzlBbHxUTE4N58+bpTM/MzMSDBw8MlqsuKpUKe079je9O/FXjdRNR7dOtWX38fvGuwfR1Y0IQufJEldTlaGOB3MKS8jMSAGBgSEPEnSj79QjlBQ8+9W1x425BVTeNnhB+brZIyWT/qWvWjQkxWd15eXlG5TO7IOdJNGPGDEydOlXzd25uLry9veHm5gZHR8cab49KpYKQ3anxeomodlIoyz6L6e7uXmV1McCpmGIjDgPKuzqSVVBcVc2hJ1BWAb+zdVFV7rcrytra2qh8ZhfkqA/qlUoliouL9V7NKSh4eMag9CABpYOBwsJCvfNWlzNU1lA5pVKpuZ2sIuUMtfVRcrkccrlcZ7pUKoW0Gm7TMMbj3CJDRGZKUvYewVT7KUK528aoWXCPT5XC/lMXmXK/bWzdZvfL4u/vr/l/enq63jxpaWk6ee3t7TVRaXnlPD09tW5dU8/HULnS00vXWV45Q20lIiIiIiLDzC7ICQwM1Fz1uHjxot486ult27bVmt6uXbtqLefs7IyAgACdcqmpqXqv5hQWFuLGjRt666z1eGKGiIiIiEzE7IIcmUyGgQMHAgB+/fVXnfScnBwkJiZCKpUiIiJCK23w4MEGywHA/v37tfKpRUREQCqV4sSJE3oHCFCXGzhwoNZ7f0JCQuDn54eSkhL8/vvvOuX++OMPFBcXw9/fH23atDG4zERERER1kUAtH76U6iyzC3IAYObMmbCyskJsbKxO0LFs2TIoFAqMHDlS8w4ataFDhyIwMBAJCQk4cuSIVtqRI0fw559/IigoCEOHDtVK8/X1RWRkJBQKBb766iuttOzsbKxZswZWVlaYOXOmTlvnzJkDAFi8eLFO2meffaaVh4ioLuKFXSIyxNRD+5P5qhNBTmZmJtLT07WeXdE3TS0gIACrVq3C3bt3ERYWhvj4eKSkpGDRokWYM2cOQkJC8Pnnn+uUs7S0xPbt2+Hq6oqIiAjExcXh+vXriIuLQ0REBFxdXbFt2zZYWOiO17BkyRKEhITggw8+wKJFi5CSkoL4+HiEhYXh7t27WLVqld7nal599VWMHTsWe/fuRVRUFM6fP4/z588jKioKe/fuxdixYzFixIjKrUAiIiIioidInRhdrW3btppnU9TUz7MAgNBzGmDEiBFo2rQpYmJi0L9/f+Tn56NJkyaYPXs23nnnHYPDzz311FM4c+YM5s2bh8mTJ+POnTtwd3dHv379MGfOHHh5eekt5+DggMOHD+PTTz/FqlWrMGvWLNjZ2SE0NBSHDx9Gx44dDS7fN998gy5duuCrr75Chw4dAAAtW7bE+vXrMXz48HLXT23E0XaIiIiIyFTqRJBz/fr1xyrXoUMH/PDDDxUu5+XlhRUrVlS4nLW1NWbPno3Zs2dXuOzw4cPrbEBDRERPrioYhZqIqMrVidvViIiIiIiIjMUgh6oFT+wRkRrP9Js3PjhORLURgxyqFvzNIyI1HgQTEVFNY5BDREREj41X6oioNmKQQ0REREREZoVBDlULntgjIjWe6ScioprGIIeIiIiITELfuw6JqgKDHCIiInpsfPkzEdVGDHKIiIieUDyLTkTmikEOVQ+e2CMiIiIiE2GQQ0REREQmIeHIJFRNGOQQERE9oariADPrvqIKWkJPKt4ySdWFQQ5VC56XISIiovIwxKHqwiCHqgV3WkSkxhO1RERU0xjkEBERERGRWWGQQ0REREQmwdvbqbowyKFqwZ0WEVHtx4e+ydTYA6m6MMghIiIiIpNgnE3VhUEOVYt95++YuglEVEuUdwzDqwlERFTVGORQtcjMKzJ1E4iIiIjoCcUgh4iIqhWf0au9+LZ5MjV2QaouDHKIiIiIyCR4typVFwY5RERERERkVhjkEBFRtSp34IEaaQUR1U7cA1D1YJBDRERERERmhUEOERFVKz5XXHtx+G4iMlcMcoiIiIiIyKwwyCEiompV/stAa6QZRET0BGGQQ0RE1YtRDBER1TAGOUREREREZFYY5BARUfXiK82JiKiGMcghIiIiIpPg3axUXRjkEBFR9Sr3KIZHOaYi4VU2IjJTDHKIiIiIiMisMMghIiJ6Qv129papm0BPOF7HperCIIeIiKoXb4mqte4rSkzdBCKiasEgh4iIiIiIzAqDHCIiql7lDDzA0ZWInmD8/lM1YZBDRETV6kp6jqmbQERETxgGOUREVK3+yVOYuglEVFvxkT2qJgxyiIiIiIjIrDDIISIik+It+UREVNUY5BARERGRafAsB1UTBjlERERERGRWGOQQEREREZFZYZBDRERERCYheL8aVRMGOUREZFKCbwMlIqIqxiCHiIiIiEyC5zioujDIISIiIiIis8Igh4iIiIiIzAqDHCIiMqk3vjlk6iYQkYlIJKZuAZkrBjlERGRSN+/dN3UTiMhECouUpm4CmSkGOUREREREZFbMOsi5fv06pkyZglatWsHFxQXW1tYICAjAuHHjcO3aNYPlLl26hOHDh6NBgwawtraGv78/pk+fjpycnDLry8nJwTvvvIOAgABYW1ujQYMGGD58OC5dulRmOZVKhWXLliEkJAR2dnZwdXVFr169sHv37sdabiIiIiKiJ5nZBjm//fYbWrRogWXLlmHo0KH4448/cOrUKUydOhWbN29Gq1at8Oeff+qUO3jwIJ555hkcP34ca9euxYULF/D+++9j+fLlaNOmDdLS0vTWl5aWhjZt2uDrr7/GrFmzcOHCBaxduxbHjx/HM888g4MHD+otV1JSggEDBmDixIno1asX/vrrL+zduxdyuRxhYWH45JNPqnK1EBERERGZPYkw07ewPf300zhz5gxmzZqF+fPna6WtXLkSY8eORatWrXD69GnN9OzsbDRt2hT5+fk4f/48/Pz8NGmbNm3CK6+8gp49e2Lfvn069fXq1Qv79+/Hxo0bMWzYMM30lJQUtGjRAg4ODrh69SqcnJy0ys2fPx+zZ8/GmDFjsGLFCs304uJitG7dGklJSTh06BA6d+5s9LLn5ubCyckJOTk5cHR0NLpcVVGpVAiL3lXj9RIRERFR9dszu6/J6jb2ONdsr+RcuXIFANCxY0edNPW0M2fO4J9//tFM/+KLL3D37l30799fK8ABgCFDhqBhw4bYv38/4uPjtdIOHTqE/fv3o2HDhhgyZIhWmp+fH1588UXcvXsXX375pVZaQUEB/vOf/wAApk6dqpVmaWmJN998EwAwb948o5ebiIiIiOhJZ7ZBztNPPw0ASEpK0klTT5NIJLC2ttZM37p1KwCgR48eOmWkUim6d+8OAPjuu++00tTlnnvuOUiluqu0Z8+eesvt3r0beXl5aNiwIZo1a2aw3IEDB5CZmalvMYmIiIiI6BFmG+R8/fXX8PLywvz587F161YUFhaiqKgI+/bt01w16datG+zs7AAA9+/fx/nz5wFAb8BRenpiYqLW9ISEBKPKnT9/HoWFhUaX8/Pzg5WVFZRKJU6ePFn+QhMRERERESxM3YDq0rp1a1y6dAmLFy9GVFQU7t+/D4lEApVKBeDhlZ41a9Zo8l+7dk2T5unpqXeeDRo0AAAkJydrTVf/XV45lUqFa9euoUWLFkaVk0gk8PDwwN9//61TZ2kKhQIKhULzd25urqY+9TLVJFPUSUREREQ1w5THesbWbbZBTlZWFkaOHImffvoJ06ZNw+DBgyGXy/HHH38gPT0d06ZNg4uLiya/OjAAABsbG73ztLW1BQCdoaTVZcsr92jZ8sqVVWdpMTExep/byczMxIMHDwyWqy4McoiIiIjM1507d0xWd15enlH5zDLIEUKgT58+OHbsGGbOnIno6GhNWqtWrbBjxw40b94cq1evRt++phsdoqrMmDFDa+CC3NxceHt7w83NzWSjqxERERGReXJ3dzdZ3aWfpy+LWT6T89tvv+HYsWMAgGnTpumkv/jii3B0dMSAAQPw119/AYBWMFD6uZnSCgoKAEBnGGh12fLKPVq2vHJl1VmaXC6Ho6Oj1gd4OFiCqT5EREREZJ5MeYxp7HGmWR6NnjhxAgDg4eEBV1dXvXmaNWuGkpISrFq1CgDQpEkTSCQSAEB6erreMuoXgfr7+2tNV/9dXjmpVApfX1+jywkhkJGRobdOIiIiIiLSzyyDHDV10KKPOgq8efMmAMDOzg7BwcEAgIsXL+oto57etm1brent2rUzqlxwcLDW8znllUtJSUFRURGkUinatGljcFmIiIiIiOh/zDLICQwMBPDwComhB/YvXboEQHtks8GDBwMAfv31V538KpUKv/32m1a+R8sdPHhQ7/Mo+/fv11uuT58+sLe3x+3bt/UGOupyzz33HNzc3PQuBxERERERaTPLIKd3797w8PAAACxdulQnfffu3ZqgIiIiQjN90qRJqFevHn744Qdcu3ZNq8yWLVtw+/ZtdO/eHV26dNFK69q1K55//nncvn1b54WfKSkp2LFjB+rVq4dJkyZppdnZ2WH69OkAgMWLF2ulFRcXa9o+Z84co5ediIiIiOhJZ5ajq9na2mLjxo3o378/PvzwQ0gkEgwaNAhyuRy//fYb3n33XQAPg5revXtryrm4uOD7779H3759ERYWhqVLl6Jp06Y4ePAg3nzzTfj6+mL9+vV669ywYQNCQ0MxduxYPHjwAM899xyuXLmCN998ExKJBN9//z2cnZ11ys2cORMJCQlYsWIFXF1dERUVhdzcXMyZMwdJSUmIjo5G165dq2U9ERERERGZI4kQQpi6EdUlOTkZixcvxr59+5CamgqlUgk3Nze0a9cOY8aMQXh4uN5yFy9exIcffojffvsNWVlZ8PLywosvvojZs2frDVTUsrOzMX/+fOzYsQM3b96Ei4sLunfvjtmzZ6N58+YGyymVSnz11VdYs2YNLl++DEtLSzz77LOYOnWqwTaWJTc3F05OTsjJyTHZENJh0btqvF4iIiIiqn57ZpvuFSzGHueadZDzpGKQQ0RERETVpS4EOWb5TA4RERERET25GOQQEREREZFZYZBDRERERERmhUEOERERERGZFQY5RERERERkVhjkEBERERGRWWGQQ0REREREZoVBDhERERERmRUGOUREREREZFYY5BARERERkVlhkENERERERGaFQQ4REREREZkVBjlERERERGRWGOQQEREREZFZYZBDRERERERmhUEOERERERGZFQY5RERERERkVhjkEBERERGRWWGQQ0REREREZoVBDhERERERmRUGOUREREREZFYY5BARERERkVlhkENEREREREZTqlSmbkK5GOQQEREREZHREq9mmroJ5WKQQ0RERERERlMJYeomlItBDhERERERmRUGOUREREREZFYY5BARERERkVlhkENERERERMar/Y/kMMghIiIiIiLzwiCHiIiIiIjMCoMcIiIiIiIyKwxyiIiIiIjIrDDIISIiIiIis8Igh4iIiIiIzAqDHCIiIiIiMisMcoiIiIiIyKwwyCEiIiIiIrPCIIeIiIiIiMwKgxwiIiIiIjKaMHUDjMAgh4iIiIiIzAqDHCIiIiIiMisMcoiIiIiIyKwwyCEiIiIiIrPCIIeIiIiIiMwKgxwiIiIiIjKaELV/fDUGOUREREREZFYY5BARERERkdEkEompm1AuBjlERERERGRWGOQQEREREZFZYZBDRERERERmhUEOEREREREZjaOrERERERER1TCzD3Lu37+PmJgYtG3bFs7OzrC1tYWfnx/69++Pb775Rm+ZhIQEDBgwAG5ubrCxsUFwcDDmz58PhUJRZl1paWkYN24cGjduDLlcjsaNG2PcuHG4fft2meUUCgWio6MRHBwMGxsbuLm5YcCAAUhISHjs5SYiIiIielKZdZBz5coVBAcHIy4uDrNmzcJff/2FkydPYuLEidizZw8++ugjnTKbNm1CaGgoMjIyEBcXh3PnziEqKgrz5s1Dly5dkJ+fr7eupKQktGzZEj/88AMWL16MixcvYvHixdi5cydatWqFpKQkveXy8/PRpUsXzJ07F1FRUTh37hzi4uKQkZGB0NBQbNq0qUrXCRERERGRubMwdQOqy/3799G7d2+4u7vjjz/+gLW1tSatWbNmePDgAbZt26ZVJjk5GVFRUahXrx527doFZ2dnAMC0adOgUCgwa9YsTJkyBStXrtQqV1JSgoiICPzzzz+Ij49Hp06dAABNmjSBp6cnOnfujEGDBuHMmTOwsNBe5W+99RYSExMRHR2NadOmAQD8/f2xa9cuBAUFISoqCh06dICfn19VryIiIiIiIrNktldyYmJicP36dcyfP18rwFGbOXMmTp48qTVtwYIFUCgUGDVqlCbAUZswYQLkcjnWrFmD1NRUrbTNmzfj4sWLaN++vSbAUQsNDUWHDh1w4cIFfPfdd1ppN27cQGxsLORyOSZMmKCV5uzsjKioKCgUCsTExFR08YmIiIiIqkXtH3bATIMcpVKJNWvWQC6Xo3v37kaXiYuLAwD06NFDJ93JyQlt27aFSqXSuQK0detWg+UAoGfPngCgE+Rs374dKpUKISEhcHJyMlhu+/btUCqVRi0HEREREdGTziyDnHPnziEtLQ2+vr7Izc3Fu+++ixYtWsDV1RX+/v4YOXIkzp8/r1Xm8uXLyM7OBvDwdjZ91NMTExO1pqsHCKiucllZWbh69arePERERERENUli6gYYwSyfyTlz5gwAoLCwECEhIWjZsiW+/vpr1K9fH3/88QdmzJiBLVu2YOvWrejXrx+Ah8/jqHl6euqdb4MGDXTy5ufn486dO0aVS09PR0FBAWxtbbXmY6hc6enJyckICgrSm0+hUGiN/JabmwsAUKlUUKlUestUJ1PUSUREREQ1QwhhsuM9Y+s1yyAnMzMTAJCamopnnnkGO3fuhFT68KJVcHAwfH19ER4ejuHDhyM5ORn169fXBAYymQyWlpZ656sOTnJycjTT1OUAwMbGpsxy6rLqv9VlDZWTyWSQy+VQKBRadT4qJiYG8+bN05memZmJBw8eGCxXXRjkEBEREZmvnJwc3LljmhvC8vLyjMpnlkFOQUGB5v8TJ07UBDhqYWFhCAwMxOXLl7Fu3TrNqGZ11YwZMzB16lTN37m5ufD29oabmxscHR1rvD0McoiIiIjMl5OTE9zd3U1St74BxfQxyyCn9JWRFi1a6M0TEhKCy5cv49ixYwCgCQaUSiWKi4v1Xs1RB0+lBwkoHUQUFhbqrat00KWvrKFySqVScxuavoEJ1ORyOeRyuc50qVSqE+AREREREVWKRGKyY0xj6zXLI2D1MzAA4OrqqjePg4MDgIcP9QMP302jlp6errdMWlqaTl57e3tNJFteOU9PT61b19TzMVSu9PTSdRIRERERkWFmGeQ888wzmv9nZGTozaOe7uLiAgAIDAzUXC25ePGi3jLq6W3bttWa3q5du2ot5+zsjICAAL15iIiIiIhIm1kGOc2bN0dgYCAA4PTp03rzJCUlAYDm5Z0ymQwDBw4EAPz66686+XNycpCYmAipVIqIiAittMGDBxssBwD79+/XyqcWEREBqVSKEydO6B1YQF1u4MCBkMlkeudNRERERETazDLIAYBZs2YBAL7++muUlJRopf3yyy+4cuUK6tWrh8jISM30mTNnwsrKCrGxsTpBx7Jly6BQKDBy5Ej4+PhopQ0dOhSBgYFISEjAkSNHtNKOHDmCP//8E0FBQRg6dKhWmq+vLyIjI6FQKPDVV19ppWVnZ2PNmjWwsrLCzJkzH28lEBERERE9gcw2yHn11VcxZswYJCUlYeDAgUhMTMSNGzewfv16REZGwtHREdu2bYOzs7OmTEBAAFatWoW7d+8iLCwM8fHxSElJwaJFizBnzhyEhITg888/16nL0tIS27dvh6urKyIiIhAXF4fr168jLi4OERERcHV1xbZt22BhoTvOw5IlSxASEoIPPvgAixYtQkpKCuLj4xEWFoa7d+9i1apVfB6HiIiIiKgCJEIIYepGVKfvvvsOy5cvx19//YXCwkJ4eXmhT58+mD59Opo0aaK3zJ9//omYmBjEx8cjPz8fTZo0wdChQ/HOO++UOWzdrVu3MG/ePOzatQt37tyBu7s7wsLCMGfOHHh5eRks9+DBA3z66afYtGkTrl27Bjs7O4SGhmLGjBno2LFjhZc5NzcXTk5OyMnJMdkQ0mHRu2q8XiIiIiKqfu9HtEGXFg3Kz1gNjD3ONfsg50nEIIeIiIiIqktdCHLM9nY1IiIiIiKqBhJTN6B8DHKIiIiIiMisMMghIiIiIiKzwiCHiIiIiIiMVwee6GeQQ0REREREZqVSQU5hYSG+/fZbfPvtt7h8+bJm+vnz59GlSxfY29sjODgY//3vfyvdUCIiIiIiImNUKsj58ccfMXLkSEydOhVnz54FAOTn5yM8PBzx8fEoKCjAhQsXMGjQIJw+fbpKGkxERERERFSWSgU527ZtQ7du3XDjxg1EREQAANavX4+///4b7du3x99//43k5GS0bt0aCxcurJIGExERERERlcWiMoWPHj2K9evXw87OTjNtw4YNkEgkWLJkCby8vAAA8+bNw+TJkyvXUiIiIiIiIiNU6krOnTt34O/vr/k7MzMTCQkJCAwMRLt27TTTW7RogZs3b1amKiIiIiIiqgXqwOBqlQty3N3dkZmZqfn7u+++g0qlwuDBg7Xy5eXlwcKiUheNiIiIiIiIjFKpIKdly5ZYunQpgIdXdT799FNIJBIMHz5cK9+BAwcQEBBQmaqIiIiIiIiMUqkgZ+rUqfj222/h7OwMHx8f/P3333jhhRcQGBgIALh9+zZWr16NDz74AL17966SBhMRERERkelITN0AI1QqyOnZsyeWL18OZ2dnyGQy9OvXD6tXr9akz5o1C2PGjEFOTg5efvnlSjeWiIiIiIioPBIhRF14dogqIDc3F05OTsjJyYGjo2ON169SqRAWvavG6yUiIiKi6vd+RBt0adHAJHUbe5xbqSs5xhJCIDU1tSaqIiIiIiKialQXrpDUSJBz584dNGnSpCaqIiIiIiKiJ1yVjOt869YtnD59GllZWVAqlTrpOTk5VVENERERERFRuSoV5OTn5+PVV1/FDz/8UGY+IQQkkrowDgMREREREdV1lQpy3n77bezcuRNubm4ICQmBq6srLC0tdfIVFBRg27ZtlamKiIiIiIjIKJUKcnbu3IkRI0ZgzZo1kMlkBvOlp6dj69atlamKiIiIiIhqgbowOHOlBh7IycnBtGnTygxwAMDZ2RmxsbGVqYqIiIiIiMgolQpyAgMDIZfLy81nbW2NyMjIylRFRERERERklEoFOZMnT8by5cvLzXf37l34+flVpioiIiIiIqoF6sKAYpV6Jqdnz544duwY+vTpg6ioKAQEBKBevXo6C37nzh3cuHGjUg0lIiIiIiIyRqWCHF9fX01As2/fvippEBERERERUWVU+mWgXl5e5Q48oFQqcevWrcpWRUREREREJlYXRlerdJBz/PhxuLu7l5knPT0dDRs2rGxVRERERERE5arUwAM9evQwanQ1W1tbjq5GREREREQ1olJXcox9DsfR0ZHvySEiIiIiohpR6dvVSjt79qxmFDUfHx+0bNmyKmdPRERERERUrioJcpYvX4758+cjLS1Na3rDhg0xa9YsjBs3riqqISIiIiIiE6v9ww5U8pkcABg3bhwmTJiA27dvQwih9bl16xYmTJjAIIeIiIiIiGpMpYKcuLg4rFixAp07d8a2bduQmpoKhUIBhUKB1NRUbNu2DaGhoVi5ciV27NhRVW0mIiIiIiIySCIqMdB1r1694Orqii1btmheCvooIQRefvllZGVl8YWhNSQ3NxdOTk7IycmBo6NjjdevUqkQFr2rxuslIiIiouo3Y+AzeC7YNK+HMfY4t1LP5Jw8eRJ79+41GOAAgEQiwTvvvIN//etflamKiIiIiIhqAcNH/rVHpW5XKygogJubW7n53N3dUVBQUJmqiIiIiIiIjFKpIMfLywtHjx4tN9/hw4fh5eVVmaqIiIiIiKgWMPvR1fr06YMpU6bg2LFjBvMcOXIE06ZNQ3h4eGWqIiIiIiIiMkqlnsmZMWMGNm3ahI4dO6Jdu3Zo164d3N3dAQAZGRlISEjA8ePH4eLignfffbdKGkxERERERFSWSgU5Xl5e+PnnnxEREYGEhASdKzpCCHh6eiIuLo63qxERERERUY2oVJADAB07dsTFixexatUq7Nu3Dzdu3AAA+Pj4oHfv3njttdfg4OBQ6YYSEREREREZo1JBTmpqKry9veHo6IipU6di6tSpWunZ2dkYM2YMunfvjjFjxpQ51DQREREREVFVqNTAA02aNEFmZqbBdCEELly4gPHjx2P27NmVqYqIiIiIiGqDOjC8WqWCHCHKXkIXFxecPn0aGzduxMaNGytTFRERERERkVEqFeQY69lnn0VaWlpNVEVERERERE+4Cj2Tc+bMGZw6dUpr2vfffw9HR0eDZe7fv4+4uDh4eHg8VgOJiIiIiIgqokJBzo4dOzBv3jytAQQmT55cbjkhBObNm1fx1hERERERUe1SB8YSq1CQ07p1a0RGRgJ4GLisX78egwcPho2Njd78UqkUzs7O6NatG/79739XvrVERERERGRadWDggQoFOf3790f//v01f3/77bdYunQp3N3dq7xhREREREREj6NSAw/ExsbCycmpqtpCRERERERUaZV6Gaj61jUiIiIiIqLaokaGkK4tpkyZAolEAl9fX1M3hYiIiIiIqskTE+QkJCRg6dKlRucdMGAA3NzcYGNjg+DgYMyfPx8KhaLMcmlpaRg3bhwaN24MuVyOxo0bY9y4cbh9+3aZ5RQKBaKjoxEcHAwbGxu4ublhwIABSEhIMHr5iIiIiIjooSciyCkqKsLo0aPRqFGjcvNu2rQJoaGhyMjIQFxcHM6dO4eoqCjMmzcPXbp0QX5+vt5ySUlJaNmyJX744QcsXrwYFy9exOLFi7Fz5060atUKSUlJesvl5+ejS5cumDt3LqKionDu3DnExcUhIyMDoaGh2LRpU6WWnYiIiIioKok6MLxapZ7JqSsWLFiAW7du4auvvsKwYcMM5ktOTkZUVBTq1auHXbt2wdnZGQAwbdo0KBQKzJo1C1OmTMHKlSu1ypWUlCAiIgL//PMP4uPj0alTJwBAkyZN4Onpic6dO2PQoEE4c+YMLCy0V/lbb72FxMREREdHY9q0aQAAf39/7Nq1C0FBQYiKikKHDh3g5+dXhWuEiIiIiMh8mf2VnPPnzyMmJgYLFy5EgwYNysy7YMECKBQKjBo1ShPgqE2YMAFyuRxr1qxBamqqVtrmzZtx8eJFtG/fXhPgqIWGhqJDhw64cOECvvvuO620GzduIDY2FnK5HBMmTNBKc3Z2RlRUFBQKBWJiYiq41ERERERE1UPU/gs55h3kqFQqjB49Gp07d8bo0aPLzKtUKhEXFwcA6NGjh066k5MT2rZtC5VKhW3btmmlbd261WA5AOjZsycA6AQ527dvh0qlQkhIiN6huNXltm/fDqVSWWb7iapbh6Z8HxYRERHVDWYd5CxZsgRnzpzBihUrys17+fJlZGdnAwCaNWumN496emJiotZ09QAB1VUuKysLV69eLW8RiIiIiIiqnURi6haUz2yfybl27Rref/99fPjhh/D39y83f3Jysub/np6eevOob3crnTc/Px937twxqlx6ejoKCgpga2urNR9D5UpPT05ORlBQkN58CoVCa+S33NxcAA+vZKlUKr1lqpMp6iQiIiKimqFSCZMd7xlbr9kGOWPGjEHz5s0xZcoUo/KrAwOZTAZLS0u9edTBSU5Ojk45ALCxsSmznLqs+m91WUPlZDIZ5HI5FAqFVp2PiomJwbx583SmZ2Zm4sGDBwbLVRcGOeZJUVT2EOpERET0ZMjNzcWdO6YJI/Ly8ozKZ5ZBzurVq/H777/j+PHjkMlkpm5OtZsxYwamTp2q+Ts3Nxfe3t5wc3ODo6NjjbeHQY55spbLTd0EIiIiqgUcHB3g7m6aZ3Wtra2Nymd2QU5aWhrefvttvPPOO3j66aeNLqcOBpRKJYqLi/VezSkoKAAArUECSgcRhYWFeuetLmeorKFySqVScxuavoEJ1ORyOeR6DkClUimkUrN+7IpqVB24AZeIiIiqnVRiumNMY+s1uyPgvXv3Ijs7G4sXL4a9vb3WJywsDACQmpqqNR2A1nM76enpeuedlpamk9fe3l4TyZZXztPTU+vWNfV8DJUrPd2Y54qIiIiIiMgMr+QMHDgQoaGhetMSEhIwfPhwNGzYEAcPHtRKCwwMhJOTE3JycnDx4kV4e3vrlL948SIAoG3btlrT27Vrh59++kmTXpFy33//fbnlnJ2dERAQoDcPEREREVFNEnXgRTlmdyXHwcEBAQEBej9eXl4AAAsLC63pwMOH/AcOHAgA+PXXX3Xmm5OTg8TEREilUkRERGilDR482GA5ANi/f79WPrWIiAhIpVKcOHFC78AC6nIDBw58Ip4tIiIiIiKqCmYX5FTGzJkzYWVlhdjYWJ2gY9myZVAoFBg5ciR8fHy00oYOHYrAwEAkJCTgyJEjWmlHjhzBn3/+iaCgIAwdOlQrzdfXF5GRkVAoFPjqq6+00rKzs7FmzRpYWVlh5syZVbiURERERESPr/Zfx3lCgpzMzEykp6fj3r17AB4+0J+eno709HTk5+dr8gUEBGDVqlW4e/cuwsLCEB8fj5SUFCxatAhz5sxBSEgIPv/8c535W1paYvv27XB1dUVERATi4uJw/fp1xMXFISIiAq6urti2bRssLHTvDlyyZAlCQkLwwQcfYNGiRUhJSUF8fDzCwsJw9+5drFq1is/jUK1QF178RURERAQ8IUFO27Zt0aBBA81tZjdv3kSDBg3QoEEDLFy4UCvviBEjEB8fDzc3N/Tv3x8tWrTAqlWrMHv2bBw+fBgODg5663jqqadw5swZ9OvXD5MnT0ZQUBAmT56Mfv364cyZM3jqqaf0lnNwcMDhw4fxwQcfYNWqVWjRogX+/e9/w83NDYcPH8aIESOqdmUQEREREZk5iagLTw5RheTm5moGUTDVe3LConfVeL1UvUKDPBB/KcPUzSAiIiITm97/afRs1cgkdRt7nPtEXMkhIiIiIqInB4McIiIiIiIyWl24D4xBDhEZhyMPEBERUR3BIIeIiIhqjd5Pm+Y+fyIyLwxyiIiIiIjIrDDIISIiolqDd8YSUVVgkENEREREREYTqP0jDzDIISIiIiIis8Igh4iMwjtIiIiIqK5gkENERuF98kRERATwPTlEREREREQ1jkEOERER1Rp14QwxEdV+DHKIiIiIiMisMMghIiPxoRwiqn58/o+IqgKDHCIiIiIiMisMcoiIiKjWkPCqMVGtJ+rAw3MMcoiIiIiIyGi1P8RhkENERERERGaGQQ4RGYUPAxMREVFdwSCHiIzCGIeIiIiAuvE+KwY5RERERERkVhjkEBERERGRWWGQQ0REREREZoVBDhERERERmRUGOUREREREZDS+DJSIiIiIiKiGMcghIiKi2oPj1RPVerX/Og6DHCIiIiIiMjMMcoiIiIiIyGh14JEcBjlEZByJhPeQEBEREVAXblhjkENERERERGaFQQ4RERERERmNt6sRERERVQBvjCWiqsAgh4iIiIiIjFYHLuQwyCEiIiIiIvPCIIeIiIhqjbpwhpjoSVcXbitlkENEREREREarCycjGOQQEREREZHx6sDwagxyiIiIqNaoC7fBED3pan+IwyCHiIiIiIjMDIMcIiIiIiIyKwxyiIiIqNaQSHjDGlFtVwceyWGQQ0RERERE5oVBDhEZhSdXiYiICODAA0REREREZG7qwP1qDHKIyCh1YH9GRGZAcGdDRFWAQQ4REREREZkVBjlEZBQ+k0NERER1BYMcIiIiIiIyWl24qZRBDhEREdUafE8OEVUFBjlERERERGRWGOQQEREREZHR6sIgiAxyiIiIiIjIaKIOPJVjtkFOamoqPvroI4SGhsLFxQWWlpbw8PBAeHg4tm3bVmbZhIQEDBgwAG5ubrCxsUFwcDDmz58PhUJRZrm0tDSMGzcOjRs3hlwuR+PGjTFu3Djcvn27zHIKhQLR0dEIDg6GjY0N3NzcMGDAACQkJFR4uYmqC++SJyIiIgB1YuQBswxyfv/9d/j7+yM6Ohrdu3fHvn37cOHCBSxbtgxXr17F4MGDMWzYMKhUKp2ymzZtQmhoKDIyMhAXF4dz584hKioK8+bNQ5cuXZCfn6+3zqSkJLRs2RI//PADFi9ejIsXL2Lx4sXYuXMnWrVqhaSkJL3l8vPz0aVLF8ydOxdRUVE4d+4c4uLikJGRgdDQUGzatKlK1w0RERGRKT3V2NXUTaAngIWpG1AdsrKyUFJSgs8++wyTJk3STA8ICECnTp3QrFkzbN68Gc8//zzGjBmjSU9OTkZUVBTq1auHXbt2wdnZGQAwbdo0KBQKzJo1C1OmTMHKlSu16ispKUFERAT++ecfxMfHo1OnTgCAJk2awNPTE507d8agQYNw5swZWFhor/K33noLiYmJiI6OxrRp0wAA/v7+2LVrF4KCghAVFYUOHTrAz8+vOlYVERERUY16pUtTzNjIu1WoepnllRwAkMlkiIyM1JnesGFD9OvXDwDw/fffa6UtWLAACoUCo0aN0gQ4ahMmTIBcLseaNWuQmpqqlbZ582ZcvHgR7du31wQ4aqGhoejQoQMuXLiA7777Tivtxo0biI2NhVwux4QJE7TSnJ2dERUVBYVCgZiYmAotOxEREVFtxVHC6746cLeaeQY5ffv2xb179+Do6Kg3vVGjRgCAe/fuaaYplUrExcUBAHr06KFTxsnJCW3btoVKpdJ5pmfr1q0GywFAz549AUAnyNm+fTtUKhVCQkLg5ORksNz27duhVCr1zpuoptSFHRoREdV+dWFkLqr7zDLIsbS0NBjgAA8HCACAli1baqZdvnwZ2dnZAIBmzZrpLaeenpiYqDVdPUBAdZXLysrC1atX9S8MUQ3hiTciIiKqK8zymZyylJSUYN++fQCgdYtYcnKy5v+enp56yzZo0EAnb35+Pu7cuWNUufT0dBQUFMDW1lZrPobKlZ6enJyMoKAgvfkUCoXWyG+5ubkAAJVKpXdwhepmijqp+vHEGxHVCJ7mN3tC8DihrjPVMaa6bmM8cUHOmjVrkJ6ejjfeeANt27bVTFcHBjKZDJaWlnrLqoOTnJwcnXIAYGNjU2Y5dVn13+qyhsrJZDLI5XIoFAqtOh8VExODefPm6UzPzMzEgwcPDJarLgxyzJMp+hIRPXkKCwtN3QSqZuo7Z6juup9/X3OSv6bl5eUZle+JCnKuXr2Kt99+Gx07dsRnn31m6uZUmRkzZmDq1Kmav3Nzc+Ht7Q03N7cyb9urLgxyzJO1tbWpm0BETwBDJ/7IfDw6uBPVPXb2dnB3dzdJ3cYejzwxQU5aWhp69+6NgIAA7Nq1S2cFqYMBpVKJ4uJivVdzCgoKAEBrkIDSQYShs0/qcobKGiqnVCo1t6HpG5hATS6XQy6X60yXSqWQSs3ysSsyASmHwyGiGiCRcl9j7iQSHpvUdRKJxGTHmMbW+0T0stu3b6NHjx5wd3fHr7/+qjdg8Pf31/w/PT1d73zUAxaUzmtvb6+JZMsr5+npqXXrmno+hsqVnl66TiIiInPFEMf8CT7lWefVhUfnzD7IuXHjBrp27Qp3d3fs378fLi4uevMFBgZqgp+LFy/qzaOeXvpZHgBo165dtZZzdnZGQECA3jxERETmpA4cOxFRHWDWQc6VK1fQpUsX+Pv7Y9euXbC3t9eknTlzBn369NH8LZPJMHDgQADAr7/+qjOvnJwcJCYmQiqVIiIiQitt8ODBBssBwP79+7XyqUVEREAqleLEiRN6BxZQlxs4cCBkMlm5y0tEREREVN3qwskIsw1yzp8/j65du6JNmzb473//q/Mg471797Bnzx6taTNnzoSVlRViY2N1go5ly5ZBoVBg5MiR8PHx0UobOnQoAgMDkZCQgCNHjmilHTlyBH/++SeCgoIwdOhQrTRfX19ERkZCoVDgq6++0krLzs7GmjVrYGVlhZkzZz7WOiAiIiKqbSS8KZFqgFkOPHDu3Dk8//zzuHv3Lq5fv47Q0FCdPPqGnwsICMCqVaswcuRIhIWF4dNPP0WDBg2wY8cOzJkzByEhIfj88891yllaWmL79u3o1q0bIiIisGzZMrRp0wYnT57EhAkT4Orqim3btsHCQnd1L1myBGfOnMEHH3wAKysrvPjii0hLS8Pbb7+Nu3fvYu3atXweh4iIiIioAswyyNm/fz/u3r0LADh9+nSFyo4YMQJNmzZFTEwM+vfvj/z8fDRp0gSzZ8/GO++8Y3DYuqeeegpnzpzBvHnzMHnyZNy5cwfu7u7o168f5syZAy8vL73lHBwccPjwYXz66adYtWoVZs2aBTs7O4SGhuLw4cPo2LFjxRa+FhB14Wk0IiKqlXiOn6j2qwvHehJRF1pJFZKbmwsnJyfk5OSY5D05SqUS4Qt213i9VL16tPTCr2dvmboZRGTmXghpjJ9OpJq6GVSNYl5pjxkbE0zdDKqEyOcCMaxLU5PUbexxrtk+k0NERER1D8+8mj8OIU01gUEOERERERGZFQY5REREVGvwmRyi2q8uPOzCIIeIiIiIiIxWB2IcBjlU9epCx6eKs5Wb5WCMRFTLSCS8lkNElccgh4iMYinj7oKIiIjqBh61EBEREVGNkfDJK6oBDHKIiIiIqMZwCGmqCQxyiIiIiIjIeHVgeDUGOUREREREZLTaH+IwyCEiY/EWaiKqARxcjaj2qwMXchjkUNWrCx2fHgO3KxHVAP6GEFFVYJBDRERERERmhUEOEREREdUcXq2r8+rCCHkMcoiIiKjW4DM5RFQVGOQQEREREZFZYZBDRMbh2VUiIiKqIxjkUDWo/fdpEhFR7cTR1YjqgDrwPWWQQ0RERERERqsDMQ6DHCIiIqo9OPAAEVUFBjlERERUa0j4ACBRrSfqwH2lDHKIiIiIiMisMMghIqPw3CoRERHVFQxyqMrVgSuY9Bi4WYmIiKiuYJBDRERERERGqwsnPhnkEBERERGR8epAlMMgh4iIKqW+g7Wpm0BERKSFQQ4RGYUDD5Ahlhb8KaGqw/fkmL86cBGAzAB/mYiIqFJ4UEpE9GSpC4EqgxwiIiKqNRysLU3dBCIyAwxyqMrVheieiIhqp+ef8jJ1E4ioHKIOvC+EQQ4REVVKHfitozqEtz8SUVVgkENERERERGaFQQ4RGUXC06tERERURzDIISKiSmH8S0REtQ2DHCIySl14yJCIiIiqX104ImCQQ1WOB8NEREREZEoMcoiIiIiIyGh14YQ2gxwiMgoHHiAiIiKAt6sREdETQAIGwEREVLswyCEiIqJag1eNzV9duNWJylEHNiGDHCIiqhRRF37tiIjoicIgh4iIiIiqhK2VhambQASAQQ5VA16FJiIiIiJTYpBDREbhXfJEVBO4ryGiqsAgh4iIKoWjqxERPVnqwk07DHKoytWFjk9ERERVjwORPBlUqtq/nRnkEBERERGR0X5IvG7qJpSLQQ4RGaX2n7MhIiIieohBDhERERERmRUGOVT1OIa0WeKj5URPppc7+Zu6CUREFcYgh4iIiAxysrMydROoDuF5TqotGOQQERFR7cHLxkRUBRjk1CK7d+9Gr1694OrqCjs7O7Rp0wZffvklVCqVqZtWITyJQ0RERESmxCCnlvjkk08QFhYGa2tr7Nu3D3/99Rd69eqFSZMmYcCAASgpKTF1E4mI6AnECytUERJ2GKolLEzdAAIOHTqE9957Dy1atEBcXBwsLS0BPAx8srKysHLlSnzyySeYNWuWiVtKRKSLxzRERFTb8EpOLTB37lwAwKRJkzQBjtq0adMAAP/5z39QWFhY0017LHzokIiIiIhMiUGOiWVmZuLgwYMAgB49euikBwUFoVGjRsjNzcWuXbtquHVEREQ1i1cGiagqMMgxsePHj0OlUsHS0hL+/vrfRdCsWTMAQGJiYk02jYiIiKhCJAxTqZbgMzkmlpycDABwc3ODVKo/5mzQoIFW3kcpFAooFArN37m5uQAAlUplkpHZFMUcJMEcCY6bRwawZ5g3UcP3IKt4z3PdZkSMo1JxG5sDU43+a2y9vJJjYuqAxMbGxmAeW1tbAEBOTo7e9JiYGDg5OWk+3t7eAB7eCnfnzp0a/9y4lY7O/o467axvb6X3/xU1uK1XhfI7WFc8lre1klW4TF1lzLZo2cgRrRsa7qNq455vorPuHl3/5dXnamcJVzvLMvMYKldaXT+X6OEoxysdvU3dDABAOz8Xrb/t5P/bxrZWMrzUtgEcrC3gZPNwWzdv4KCV39lWd3sGezmgvZ8LnG0tMbzT/5ZzeAWX2VKmvaXbNnExkLPuKf1d6f9MA836BbT7e3u/spd5UNuGmv9bW/7vZ39wWy90DHAFAPRr7alV5mlvJwBAi4YOCHCVabXH8f/b4WBtgWd9nTGyc2OdOkObuupt64shDeDvbocugfUQ4uusmY+TjQWauNnCUiZB8X3d37oeLdzKXMaK8HCUG5XPxdbwb0fpbVFTAjzs0Pdpz3LzWcl0935afalNA4NlfevbYmBIQ4Ppg559mGYvl2FMN190a1ZfkzakfSO42FkiqnNjvNKxEYD/rafGrtq/Hy6WRTq/BY/uJ4wdpa1lI93jjdJK9/nKqsyxS2V1DaqHl9vrP/5RL6Oxv51uDv9bDvVqfrndw3mXrqPv0x6IDG2MsFYeOvMIbepqkmPMO3fuIDMz06jllIiaPkVDWhYsWIBZs2bB398fV69e1Ztn3Lhx+Oabb9C7d2/s2bNHJ13flRxvb29kZWXB0bHsL391UKlUyMzMLPPqFFFZ2IeostiHqDLYf6iy2IeqT25uLlxcXJCTk1PmcS5vVzMx9cYpa+S0goICAICTk5PedLlcDrlc98yUVCo12RdLIpGYtH6q+9iHqLLYh6gy2H+ostiHqoex65Nr3cTUgw1kZmYavMcwLS1NKy8RERERERnGIMfEQkJCIJVKUVxcbHBggYsXLwIA2rZtW5NNIyIiIiKqkxjkmJi7uzu6desGAPj111910i9duoSbN2/CwcEBffr0qenmERERERHVOQxyaoE5c+YAAL788kuUlGgPv7xo0SIAwPTp0zWjrBERERERkWEMcmqBbt26ITo6GufPn8eLL76IkydP4vLly3jvvfewcuVKhIeHY8aMGaZuJhERERFRncAgp5aYOXMmfvnlFxQWFqJ79+545plnsGfPHixZsgT//e9/YWHBgfCIiIiIiIzBI+daJCwsDGFhYaZuBhERERFRncYrOUREREREZFYY5BARERERkVlhkENERERERGaFQQ4REREREZkVBjlERERERGRWGOQQEREREZFZYZBDRERERERmhe/JMUNCCABAbm6uSepXqVTIy8uDtbU1pFLG0VRx7ENUWexDVBnsP1RZ7EPVR318qz7eNYRBjhnKy8sDAHh7e5u4JUREREREVS8vLw9OTk4G0yWivDCI6hyVSoXbt2/DwcEBEomkxuvPzc2Ft7c3/v77bzg6OtZ4/VT3sQ9RZbEPUWWw/1BlsQ9VHyEE8vLy0LBhwzKvkvFKjhmSSqVo1KiRqZsBR0dHfrGpUtiHqLLYh6gy2H+ostiHqkdZV3DUeJMgERERERGZFQY5RERERERkVhjkUJWTy+WYM2cO5HK5qZtCdRT7EFUW+xBVBvsPVRb7kOlx4AEiIiIiIjIrvJJDRERERERmhUEOERERERGZFQY5RERERERkVhjkEFGZjhw5gqCgIEgkEly/ft3UzSEiInosU6ZMgUQiga+vr6mbQjWAQQ5Vmd27d6NXr15wdXWFnZ0d2rRpgy+//BIqlcrUTaPHUFhYiGnTpqFr1664fPmy0eUSEhIwYMAAuLm5wcbGBsHBwZg/fz4UCkWZ5dLS0jBu3Dg0btwYcrkcjRs3xrhx43D79u0yyykUCkRHRyM4OBg2NjZwc3PDgAEDkJCQUG5bN23ahM6dO2te1hYaGoqNGzcavaxkWGpqKj766COEhobCxcUFlpaW8PDwQHh4OLZt21ZmWfYhAoD09HSsXr0aAwcOhI+PD+RyOWxsbBAYGIjXX3+9zP3SpUuXMHz4cDRo0ADW1tbw9/fH9OnTkZOTU2adOTk5eOeddxAQEABra2s0aNAAw4cPx6VLl8osp1KpsGzZMoSEhMDOzg6urq7o1asXdu/eXe5y8rezZiQkJGDp0qVG5+U+yAwIoirw8ccfCwDihRdeEMePHxeXLl0S77zzjgAg+vXrJ4qLi03dRKqAq1evisDAQOHj4yP27t0rAAgA4tq1a2WW27hxo5DJZKJDhw7ijz/+EFevXhULFy4UFhYWom3btiIvL09vufPnz4t69eoJT09PsW3bNpGSkiK2bdsmPDw8RL169cT58+f1lsvLyxNt27YVFhYWYuHCheLq1avijz/+EB06dBAymUxs3LjRYFvfeOMNAUCMGjVKnD17Vpw9e1aMHDlSABBvvPGG0euKdB08eFBYWFgIuVwu3n//fZGYmCiuXLkitm7dKpo2bSoAiKFDhwqlUqlTln2I1EJCQgQAERkZKQ4fPiyuX78uEhMTxZQpUwQAYWtrKw4dOqRT7sCBA8LGxkYEBQWJ3bt3i5SUFLFmzRphb28v/Pz8xO3bt/XWd/v2beHn5yfs7e3FmjVrREpKiti9e7cICgoSNjY24sCBA3rLFRcXi379+gkA4t133xWXLl0SiYmJom/fvgKA+Pjjjw0uI387a4ZCoRDBwcGicePGAoDw8fExmJf7IPPBIIcq7Y8//hAARIsWLURRUZFW2pgxYwQAMX/+fBO1jh7HDz/8IN544w3NztyYIOfq1atCLpcLd3d3kZWVpZUWHR0tAIjXXntNp1xxcbFo1qyZACDi4+O10g4fPiwAiObNm+v9sR89erQAIKKjo7WmZ2VlCXd3dyGXy0VycrJOufXr1wsAonfv3jppvXr1EgDEhg0bDC4rlW3Hjh0CgFi6dKlO2q1bt4SDg4MAIFasWKGVxj5EpYWEhIi+ffvqTYuMjBQARI8ePbSmZ2Vlifr16wtra2ud7bZx40YBQPTs2VPvPHv27CkA6BxUJicnC7lcLurXry+ys7N1yn300UcCgBgzZozW9KKiItGiRQsBQG8wxt/OmjNnzhzh7OwsNm3aVGaQw32QeWGQQ5XWvXt3AUB8/fXXOmkXL14UAISjo6MoKCgwQevocZSUlGj9bUyQExUVpTmT+ajs7Gwhl8uFVCoVN27c0Er79ttvBQDRvn17vfPt0KGD3p319evXhVQqFXK5XO+Bx3vvvWfwB8nf318AELt27dJJ2717twAgAgICDC4rlW3Hjh1CJpOJnJwcvenDhg3Te7DJPkSl7dmzR1y4cEFv2tKlSwUA0bJlS63pH374oQAgXn75ZZ0ySqVSNGzYUAAQhw8f1kpTBxwNGzbUe4VxyJAheoOO+/fva4J2fW1dvny5wcCKv50149y5c8LKykqsWrVKHDhwoMwgh/sg88JncqhSMjMzcfDgQQBAjx49dNKDgoLQqFEj5ObmYteuXTXcOnpcMpmsQvmVSiXi4uIA6O8HTk5OaNu2LVQqlc7zGFu3bjVYDgB69uwJAPjuu++0pm/fvh0qlQohISFwcnIyWG779u1QKpWa6SdPnkRycjIsLCzQrVs3nXJdu3aFpaUlrl69ipMnTxpcZjKsb9++uHfvHhwdHfWmN2rUCABw7949zTT2IXpU79690axZM71pf/75JwCgV69eWtPL6gtSqRTdu3cHoNsX1OWee+45SKW6h0aG+tDu3buRl5eHhg0b6m2rutyBAweQmZmpmc7fzpqhUqkwevRodO7cGaNHjy4zL/dB5odBDlXK8ePHoVKpYGlpCX9/f7151Dv+xMTEmmwa1aDLly8jOzsbAAwelBjqB+oHK6urXFZWFq5evapTrnHjxrCxsdEpZ2NjAx8fH711knEsLS0NBjjAw4dzAaBly5aaaexDVJ7i4mJcvnwZU6ZMwaZNmzBw4EDMnz9fk37//n2cP38eQPX1hfPnz6OwsNDocn5+frCysoJSqdQ62ORvZ81YsmQJzpw5gxUrVpSbl/sg88MghyolOTkZAODm5qb37BcANGjQQCsvmZ/S29bT01NvHn39ID8/H3fu3DGqXHp6OgoKCnTqNFSu9PTSdZZXzlBbqWqUlJRg3759AIAJEyZoprMPUVmGDh0KuVyOoKAg/Pjjj9i5cye2b9+udYB37do1zYhkFelDpf8ur5xKpcK1a9eMLieRSODh4aFTJ387q9+1a9fw/vvv48MPPzQYSJbGfZD5YZBDlZKbmwsAes8kqNna2gJAuUN3Ut2l7gcymQyWlpZ68+jrB+pygOE+pC5nqKyhcjKZDHK5vMLlDLWVqsaaNWuQnp6ON954A23bttVMZx+isixevBhJSUnYs2cPOnXqhAEDBuCll17SnHkHKtYXHt0u5W3Tx+1DhupkH6p+Y8aMQfPmzTFlyhSj8nMfZH4sTN0AIiJ6Mly9ehVvv/02OnbsiM8++8zUzaE6xNPTE56enmjWrBl69+4NNzc3fPbZZ7h27Rr+/PPPCj9HSOZt9erV+P3333H8+HH2jScYr+RQpajvuy99j/Kj1Jdm9T1UR+ZB3Q+USiWKi4v15tHXD0o/t2GoD5W+tK+vrKFySqVS8+K2ipQz1FaqnLS0NPTu3RsBAQHYtWsXrK2ttdLZh6gi5s6dCysrKxw/fhw//vgjgIr1hUe3S3nb9HH7kKE62YeqT1paGt5++2288847ePrpp40ux32Q+WGQQ5Wivs81MzPT4NuZ1Q8ZG3NPLNVNpbdtenq63jz6+oG9vT3c3d2NKufp6al1yV89H0PlSk8vXWd55Qy1lR7f7du30aNHD7i7u+PXX3/V+6PLPkQV4eDgAF9fXwDA0aNHAQBNmjSBRCIBULE+VPrv8spJpVJNvcaUE0IgIyNDp07+dlafvXv3Ijs7G4sXL4a9vb3WJywsDACQmpqqNR3gPsgcMcihSgkJCYFUKkVxcbHBh9suXrwIAFr335N5CQwM1By4qrf3owz1g3bt2lVrOWdnZwQEBOiUS01N1XsWrLCwEDdu3NBbJ1XcjRs30LVrV7i7u2P//v1wcXHRm499iEq7ffs2li9frjVs7qPs7OwAAEVFRZq/g4ODAVRfXwgODtY6SC2vXEpKCoqKiiCVStGmTRvNdP52Vp+BAwfiypUrOHPmDE6dOqX1WbVqFQCgYcOGWtMB7oPMkqlf1EN13/PPP1/uC80cHBzE/fv3TdA6qgow4mWgo0aNMuolatevX9dKW7dunVEvUfv222+1pl+7ds2ol6hFRUXppPn5+ZX7EjV/f3+Dy0rGuXz5svD29ha9e/fWeaHh6dOnxb/+9S+taexDpKZ+aeOlS5f0phcVFQk7OzsBQHz55Zea6fPmzTPqZaB//PGHVtrvv/9u1MtAP/zwQ63p+fn5wt7evtyXgXbv3l0njb+dNa+8l4FyH2ReGORQpR08eFAAEMHBwaK4uFgrbcyYMXp/GKhuMSbIuXLlirCyshLu7u46O+vo6GiDO+qioiIRGBgoAIj4+HittPj4eAFABAUF6fQtIf73g7RgwQKt6VlZWcLd3V1YWVmJq1ev6pRT/yD17t1bJ6137956f4yoYs6dOyc8PT1F//79xYMHD3TS1QcbpbEPkZq6f0yZMkVv+oIFCwQAYWdnJ9LS0jTT7927J+rVqyesra1FSkqKVpmNGzcaDDiE+F/QsWnTJq3pycnJQi6Xi3r16omsrCydcurAauzYsVrTi4qKRIsWLQQA8fvvv+uU429nzSsvyOE+yLwwyKEqof7yv/DCC+LEiRPi0qVL4t133xUARHh4uN4vNtVud+7cEWlpaSItLU0T5Bw7dkwzTZ9vv/1WSKVS0bFjR3H48GGRnJwsFi5cKCwsLERISIjIzc3VW+7s2bPC1dVVeHp6iu3bt4tr166J7du3C09PT+Hq6irOnj2rt1xubq4ICQkRFhYWYuHChSI5OVkcPnxYdOjQQUil0jJ38GPHjhUAxKhRo8S5c+fEuXPnND82jx6sUMWcPXtW1K9fXwAQTz/9tAgJCdH5qA8IHsU+REIIcejQIQFASCQSERkZKQ4ePChSUlLEoUOHxBtvvCEkEomQy+Vi69atOmV//fVXYW1tLYKCgsSePXtESkqKWLNmjbC3txe+vr7i1q1beuu8deuW8PX1Ffb29mLNmjUiJSVF7NmzRwQFBQlra2vx66+/6i1XXFwswsPDBQDx3nvvicuXL4vjx4+Lvn37CgAiOjra4HLyt7NmqH/Ptm/fLgCIRo0aaX7L8vLytPJyH2Q+GORQlfnll19Ejx49hJOTk7C1tRWtW7cWS5YsESUlJaZuGj0GHx8fTXCj72PI0aNHxb///W9Rr149IZfLRbNmzcS8efNEYWFhmfXdvHlTjBkzRjRq1EhYWVmJRo0aiTFjxoibN2+WWa6wsFB8+OGHolmzZkIulwtXV1fRr18/ceTIkXKXcf369aJjx47C3t5e2Nvbi44dO4r169eXW47Ktnjx4jL7Tnn9iH2IhBDixIkT4u233xbt2rUTLi4uQiaTCVtbWxEcHCwmTZokLl++bLDshQsXxNChQ4WHh4ewsrISTZo0EVOnTtV7Jaa0rKwsMW3aNOHn5yesrKyEh4eHGDp0qEhKSiqzXElJiVi6dKlo3bq1sLW1FU5OTqJHjx7i559/Lnc5+dtZ/cr6PZszZ45Ofu6DzINECCEMPa9DRERERERU13B0NSIiIiIiMisMcoiIiIiIyKwwyCEiIiIiIrPCIIeIiIiIiMwKgxwiIiIiIjIrDHKIiIiIiMisMMghIiIiIiKzwiCHiIiIiIjMCoMcIiIiIiIyKwxyiIiIiIjIrDDIISJ6As2fPx8SiUTzWbt2rUna8eDBA612+Pr6Vsl8586dWyuWj4iITINBDhFRLXPv3j3MnTsXbdu2hZOTE6ysrNCgQQO0adMGI0aMwDfffIOLFy9Wqo4pU6YgLS0NL730UhW1+vFYW1sjLS0Nx44dq9L5vv322+UuX3R0NFxdXfHbb79Vad1V6fr161rBWunPwYMHtfI+GthVdeBorP3798PV1RUxMTE1Wi8RUWkMcoiIapGkpCQEBwfjs88+Q79+/bB//34kJyfjt99+w1tvvYXjx49j3LhxGDRoUKXqsbOzg6enJ2xsbKqo5Y/P09MTbm5uVTpPe3v7cpdv06ZNyMrKQlxcXJXWXZW8vb11gsBjx44hLS0NnTp10sqrDuymTZsGAOjYsSPS0tKQmJhYo23esWMHsrKysHHjxhqtl4ioNAtTN4CIiP5nzJgxSE9Px5YtW/Dyyy9rpTVv3hy9e/fGM888Y6LWmZfp06dj+fLlGDVqlKmbYpBMJoOnpycePHigmebm5gZPT0+dvPb29poPAFhZWenNV92ioqJw4sQJvP766zVeNxGRGoMcIqJaIicnB0eOHAEAhIWF6c3j6emJl19+Gfv376/JppmlkSNHYuTIkaZuhtkJCQnBn3/+aepmENETjrerERHVEiqVSvP/W7duGcw3e/ZsbN++XW9aQUEBFixYgNatW8POzg42NjZo1qwZRo0ahV9++UWrjkcdPnwYzz//PBwcHODo6IgXXngBly5dMpj/+vXrGDt2LHx8fGBlZQU3NzeEh4djz549BsucPn0a/fv3h4uLC+zs7PDss89i3bp1BvPXr1/f4LMlI0eO1Hr25Pr16wbnU9rBgwe1ypUOdA4fPqyTdvPmTQwbNgz169eHjY0Nnn32Wfzyyy9lrpfhw4fD3d0d1tbWCAwMxOzZs1FQUGDSZ2VKu3fvHmbMmIEWLVrAxsYGTk5OCA0NxapVq6BUKrXyvvbaazrPAu3atQvdunWDk5OT1vSyls/QM0OlP+7u7jptvXnzJiZOnAh/f39YW1vD1dUVPXv21Psd6Nmzp06fWL16NVq1agVra2t4eHjg9ddfR15eXpWuTyKqhQQREdUaDRs2FABEt27dRHp6eoXKZmRkiFatWglLS0uxYMECcenSJXH+/HmxdOlS4ejoKACInTt3apWJjIwUAMSoUaPEv/71L5GQkCAuXbok/vOf/wiZTCa8vLxEXl6eTl2HDh0STk5Ows3NTWzYsEFcvnxZ7Nu3T3To0EEAEB9//LFOmQMHDggbGxvh4uIiYmNjxbVr10RiYqIYPHiwGD16tAAgfHx8dJbp2LFjetOys7NFWlqaaNSokQAgrl27plOnevliY2M10xQKhUhLSxOff/65ACAiIyM1aUVFRVppffv2FaGhoeKnn34SKSkpYuvWrcLV1VXIZDKRmJioU9/58+dFvXr1hFwuF4sXLxbJycnizJkzYvz48eK5554TAAQAkZaWJu7cuaO7EQ24du2apqy+5Sxtzpw5mj6kz+XLl0Xjxo2Fvb29WLZsmUhOThanT58W48ePFwBEeHi4UCgUmvw5OTkiLS1NdOzYUQAQ48aNE927dxeHDh0SKSkp4qOPPhIAxIEDB0RaWprB7TVnzhzx0ksvibS0NK3PpUuXhKenp95+c+TIEeHi4iI8PDzExo0bxbVr18SxY8fEoEGDBAAxZswYrfz37t3T6hNjx44Vb775pkhKShJ//fWXGD58uAAg+vfvb+yqJ6I6ikEOEVEtsnz5cs3BrI2NjXjllVfE9u3bRW5ubrllw8LCBADxn//8Rydt06ZNAoDYsWOH1nR1EODi4iLy8/O10gYOHCgAiPXr12tNz8rKEh4eHgKAOHr0qFZaYWGhaNCggZBKpeLYsWOa6QUFBcLLy0sAED/88INWGaVSKZ555hm9B8ZC/O8AX1+aEEL4+PhUKMhRi42N1QlyHk0DIOLj47XSlixZIgCI0aNH65Rr06aNACCWLFmik9a/f3/NPCuqqoKckpIS0bJlSwFAbN68WSf9lVdeEQDE9OnTddK6desmAAgvLy9RWFiolRYYGKhZT4a215w5c/Su66FDhwoAomfPnkKlUmmmZ2dniwYNGggA4siRI1pllEql6NKliwAgli1bpjNPdZ/o1auX1vTi4mLh5uYmAIjU1FSdckRkPni7GhFRLfL6669j2bJlcHV1RWFhITZu3IiIiAjUq1cP3bt3x1dffYXc3FydcidPnsSuXbtgaWmJcePG6aQPGjQIDRs2hKWlpd56X3rpJdjZ2WlNa9++PQDg1KlTWtNXr16NjIwMdOzYER06dNBKs7a2xsiRI6FSqfDVV19ppm/btg23bt2Cl5cX/v3vf2uVkUqlmDBhguGVYkJBQUE6o5gZWi+HDh3CyZMnYWVlhdGjR+vMa9KkSVXSpuDgYK1BBh79LFiwwGDZH374AWfPntU82/WoKVOmAAC++OILZGVl6Z3HmDFjYG1trTXt0qVLOuvpUWPHjsXcuXO1psXGxmLz5s1wc3PD+vXrIZFINGmrV69GWloa2rVrh44dO2qVk0qlmDx5MoCH73wydBtmVFSU1t8WFhYICQkB8PDWSSIyXwxyiIhqmfHjx+Pvv//Ghg0bMGjQIDg7O6O4uBgHDhzAhAkT4O/vjx9//FGrzN69ewEAzZo1g4ODg848LS0tcevWLfTt21dvnQEBATrTXF1dAUDnYFdd17PPPqt3Xn5+fgCA+Ph4zbTff/8dADQHmI9q3ry53ummVpH1ol7GZs2a6QSMQNUt4y+//IJTp04Z/OgLctVKb7vSAYVa69atYWVlhQcPHuCPP/7QO4/HXY6GDRtqPadz+fJlTJo0SfOy1kdHglO3tV27dnrnp56elpaGs2fP6s1Tke1HROaFo6sREdVCtra2eOWVV/DKK69AqVQiPj4eW7Zswbp163D37l0MGTIESUlJ8PHxAQDcuHEDAB77fTP16tXTmWZh8fAn4tEH0VNTUwEA33zzDdasWaNTTp2/9OAJN2/eLLN9phjq2Bj61ov6atij66WmltHHx6fMQQvUB/H6qPuJvgf8gYdDVterVw9paWmavI+qincaFRUVYciQIbh//z7eeusthIeHV7itHh4eWnmffvppnTwV2X5EZF4Y5BAR1XIymQxdu3ZF165d8fbbb+PZZ59FVlYWNm/ejPfee69K6tB3Vr88EyZMwPjx4ys0TyFEhespT3XMU+1x1kt1tqc2eJx18qh33nkHf/31F5555hl88sknVdAq/aqirURUN/F2NSKiWmTBggVISEgwmO7n54chQ4YAgNaQyeorOpmZmdXavtJ1CSEQEBBg8OPv768p06hRozLbl56ebrA+mUwGwPCZ97t37z7WclS1yixjTVFvu4yMDL3pSqUS//zzj1beqvbzzz9jyZIlsLOzw5YtW2BlZfVYbS09vbraSkR1F4McIqJaZMWKFWW+gwWA5qHv0rcN9e7dGwBw8eJFve8AKSwsRJ8+fbBixYpKt1Fd17Fjx/SmCyHQq1cvvP3225pp3bp1AwCcOHFCb5kLFy4YrM/JyQmA/mco0tLSUFBQYFzDq5l6GS9duoT8/Hyd9LKWsaaot11iYqLeh/VPnTqFoqIiWFtbo2vXrlVe/+3btzXvJfriiy8QGBiolb527VrNulO31VDQr+5/DRo0QMuWLau8rURUtzHIISKqZb799lvk5OToTcvPz8eOHTsgkUjw4osvaqa3adMGYWFhKC4uxvLly3XKrV27Fnv27MEzzzxT6faNHj0anp6eOHr0KI4cOaKTvnHjRuzfvx/PPfecZtqgQYPg5eWF27dv47///a9WfpVKhWXLlhmsz9HREU2aNMH9+/dx8eJFrTR9zwSZSpcuXdCmTRsUFRXpbdcXX3xhglZp69+/P5566incuXMHmzdv1klfvHgxAGDixIlwcXGp0rpVKhVGjBiheaZs1KhROnlGjRqluTKn7mfHjx/H4cOHdea1ZMkSAMCsWbMglfJwhoi0ca9ARFSLqN/S3qFDB8TGxiIpKQk3b97EyZMnsWLFCjz77LO4fv065s6dizZt2miVXbt2LVq2bIlZs2bhk08+wZUrV5CUlIRPP/0UU6dOxbvvvou2bdsCeHhlJz09HYWFhQCAnJwcpKenQ6lUQqlUIj09XRNoPZrXyckJcXFxcHJyQv/+/bF69WqkpKTg3LlzWLBgAcaMGYNJkybhhRde0LTNxsYGGzZsgI2NDUaOHIl169bhxo0bOHHiBIYMGQJHR0cA0NR97949rWVTP/szcuRIxMfH4/r16/j6669x8uRJNG7cGMDD28TUt4Tl5+frXb7CwkIUFRXpXb78/Pxylz0zM1NzO9qjeQFg/fr1qFevHt59910sWbJEs14mTpxY5oAAhqjrKH0LnHo5i4qKtPKql1l9JUS9nKXLymQybN++Hd7e3prhylNSUnD27FlMmDABGzduRHh4OKKjo3Xmq67v3r17OsutVrq+R7flxx9/jN9++w0uLi6YNGkSzp07p/MpTd3PXFxcEBERgY0bN+LGjRs4fvw4hgwZgkOHDuG1117TGn68dD9Wryt1e8rq80Rkhkz6lh4iItJy+/ZtsXz5cjF06FARHBwsHB0dhVQqFba2tiIwMFC8+uqr4vDhwwbL5+fni/nz54uWLVsKGxsb4erqKjp16iS2bNmi9aLF0i+7LP25du2a1osnS38efaFmamqqGD9+vPD19RVWVlbC09NTPPfcc2Lr1q1adZV26tQp0a9fP+Hk5CSsra1FixYtxMcffywuX76sVVf79u21yqlUKvHJJ58IPz8/YWlpKRo1aiTeffdd8eDBA82LH9Wf4uJizQsx9S3DgQMH9KbNmTOn3GV/tC7oeZloSkqKGDZsmKhXr56Qy+WiWbNm4j//+Y8oLi4WAIREIjG6PxhqDwBx4MABrbyGllnfS1T/+ecf8d5774mgoCAhl8uFg4OD6Nixo1ixYoUoKSkxar76XuypL5/6paS+vr4Gl+XRPlhaamqqmDBhgmjSpImwsrISzs7Oonv37mLr1q069atf/qpv+cvq80RkfiRCmPkwMERERLVAXl4eHB0d4eLionOlioiIqhZvVyMiIqoihw8fxu7du/WmJSUlAYDe97kQEVHVYpBDRERURfbv34/JkyejuLhYJ009sp2+B+6JiKhqMcghIiKqQpcvX8bAgQNx6NAhpKam4uTJk5gwYQLWrFmDIUOGYMSIEaZuIhGR2eMzOURERFUkNTUVGzZswC+//ILr168jMzMT1tbWaNWqFUaNGoVRo0ZBIpGYuplERGaPQQ4REREREZkV3q5GRERERERmhUEOERERERGZFQY5RERERERkVhjkEBERERGRWWGQQ0REREREZoVBDhERERERmRUGOUREREREZFYY5BARERERkVn5P1bDOCZcMihBAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='H2_L',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 183.80476053606372,\n", - " ('HO', 'AqOff', 1): 247.65307360880095,\n", - " ('HO', 'AqOff', 2): 188.2900798803821,\n", - " ('HO', 'AqOff', 3): 236.6921972347228,\n", - " ('HO', 'AqOff', 4): 210.3566402501315,\n", - " ('HO', 'DAC', 0): 0.0,\n", - " ('HO', 'DAC', 1): 0.0,\n", - " ('HO', 'DAC', 2): 0.0,\n", - " ('HO', 'DAC', 3): 0.0,\n", - " ('HO', 'DAC', 4): 0.0,\n", - " ('HO', 'H2_L_c', 0): 1493.0426734453945,\n", - " ('HO', 'H2_L_c', 1): 1452.4383373573016,\n", - " ('HO', 'H2_L_c', 2): 1491.8425326236988,\n", - " ('HO', 'H2_L_c', 3): 1505.6748479249047,\n", - " ('HO', 'H2_L_c', 4): 1335.4794173056869,\n", - " ('HO', 'H2_L_d', 0): 1000.0,\n", - " ('HO', 'H2_L_d', 1): 1000.0,\n", - " ('HO', 'H2_L_d', 2): 1000.0,\n", - " ('HO', 'H2_L_d', 3): 1000.0,\n", - " ('HO', 'H2_L_d', 4): 1000.0,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI', 1): 0.0,\n", - " ('HO', 'LiI', 2): 0.0,\n", - " ('HO', 'LiI', 3): 0.0,\n", - " ('HO', 'LiI', 4): 0.0,\n", - " ('HO', 'NGCC', 0): 651.4434185222887,\n", - " ('HO', 'NGCC', 1): 877.7355080942796,\n", - " ('HO', 'NGCC', 2): 667.3403504532416,\n", - " ('HO', 'NGCC', 3): 838.8878158239336,\n", - " ('HO', 'NGCC', 4): 745.5489642039041,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PEM', 1): 0.0,\n", - " ('HO', 'PEM', 2): 0.0,\n", - " ('HO', 'PEM', 3): 0.0,\n", - " ('HO', 'PEM', 4): 0.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PSH', 1): 0.0,\n", - " ('HO', 'PSH', 2): 0.0,\n", - " ('HO', 'PSH', 3): 0.0,\n", - " ('HO', 'PSH', 4): 0.0,\n", - " ('HO', 'PV', 0): 7645.347133326092,\n", - " ('HO', 'PV', 1): 7410.907908088612,\n", - " ('HO', 'PV', 2): 8607.617827984677,\n", - " ('HO', 'PV', 3): 7456.698262392971,\n", - " ('HO', 'PV', 4): 6872.412230491017,\n", - " ('HO', 'SMR', 0): 2493.0426734453945,\n", - " ('HO', 'SMR', 1): 2452.438337357302,\n", - " ('HO', 'SMR', 2): 2491.842532623699,\n", - " ('HO', 'SMR', 3): 2505.6748479249045,\n", - " ('HO', 'SMR', 4): 2335.479417305687,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'SMRH', 1): 0.0,\n", - " ('HO', 'SMRH', 2): 0.0,\n", - " ('HO', 'SMRH', 3): 0.0,\n", - " ('HO', 'SMRH', 4): 0.0,\n", - " ('HO', 'WF', 0): 6382.906213518697,\n", - " ('HO', 'WF', 1): 6260.86923308097,\n", - " ('HO', 'WF', 2): 7307.62448410026,\n", - " ('HO', 'WF', 3): 7031.812409955815,\n", - " ('HO', 'WF', 4): 8448.234538592715}" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.capacity_utilization(results= results_cost, location='HO', process='PV')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{AqOff, DAC, H2_L_c, H2_L_d, LiI, NGCC, PEM, PSH, PV, SMR, SMRH, WF}" - ] - }, - "execution_count": 65, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_set" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1.636110906942571" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']/(results_cost.output['S_network'][ ('H2', 0)]*1000)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 1.0,\n", - " ('HO', 'DAC', 0): 0.0,\n", - " ('HO', 'H2_L_c', 0): 1.0,\n", - " ('HO', 'H2_L_d', 0): 1.0,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'NGCC', 0): 1.0,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PV', 0): 1.0,\n", - " ('HO', 'SMR', 0): 1.0,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'WF', 0): 1.0}" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/sl-sp-milp copy.ipynb b/examples/multiperiod-examples/sl-sp-milp copy.ipynb deleted file mode 100644 index d0d2d242..00000000 --- a/examples/multiperiod-examples/sl-sp-milp copy.ipynb +++ /dev/null @@ -1,1533 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-location Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Alkaline Water Electrolyzers (AWE)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the horizon here for convenience**" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 3" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_sandiego = fetch_nsrdb_data(attrs=['wind_speed', 'dni'], year=2019, state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation', save='../data/sd_solar19')[1]\n", - "\n", - "# weather_houston = fetch_nsrdb_data(attrs=['wind_speed', 'dni'], year=2019, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation', save='../data/ho_solar19')[1]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "weather20_df = pandas.read_csv('../data/ho_solar20.csv', index_col=0)\n", - "weather20_df.index = [i.split('+')[0] for i in weather20_df.index]\n", - "weather19_df = pandas.read_csv('../data/ho_solar19.csv', index_col=0)\n", - "weather18_df = pandas.read_csv(\n", - " '../data/ho_solar18.csv', names=['wind_speed', 'dni'])\n", - "weather17_df = pandas.read_csv('../data/ho_solar17.csv', index_col=0)\n", - "weather16_df = pandas.read_csv('../data/ho_solar16.csv', index_col=0)\n", - "weather15_df = pandas.read_csv('../data/ho_solar15.csv', index_col=0)\n", - "weather_df_wl = pandas.concat(\n", - " [weather16_df, weather17_df, weather18_df, weather19_df, weather20_df])\n", - "weather = weather_df_wl[~weather_df_wl.index.str.contains(\n", - " '02-29')] # remove leap years\n", - "weather = weather[:8760*horizon]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price20 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2020)\n", - "ng_price19 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2019)\n", - "ng_price18 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2018)\n", - "ng_price17 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2017)\n", - "ng_price16 = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016)\n", - "ng_price_df = pandas.concat(\n", - " [ng_price16, ng_price17, ng_price18, ng_price19, ng_price20])\n", - "# ng_price_df['index'] = [i for i in demand.index][::24]\n", - "ng_price_df = ng_price_df.drop(columns='scales')\n", - "# ng_price = ng_price_df.set_index('index')\n", - "ng_price = ng_price_df[:365*horizon]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "ercot20 = pandas.read_excel('../data/Native_Load_2020.xlsx')\n", - "ercot19 = pandas.read_excel('../data/Native_Load_2019.xlsx')\n", - "ercot18 = pandas.read_excel('../data/Native_Load_2018.xlsx')\n", - "ercot17 = pandas.read_excel('../data/Native_Load_2017.xlsx')\n", - "ercot16 = pandas.read_excel('../data/Native_Load_2016.xlsx')\n", - "ercot = pandas.DataFrame(pandas.concat(\n", - " [ercot16['COAST'], ercot17['COAST'], ercot18['COAST'], ercot19['COAST'], ercot20['COAST']]))\n", - "ercot['index'] = weather_df_wl.index\n", - "# ercot = ercot.drop(columns= 'HourEnding')\n", - "ercot = ercot.set_index('index')\n", - "# ercot = ercot[['COAST']]\n", - "ercot = ercot[~ercot.index.str.contains('02-29')]\n", - "# random missing data\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00']\n", - "demand = ercot[:8760*horizon]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Demand for hydrogen (H2) is set at an increasing trajectory" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [], - "source": [ - "x = numpy.linspace(0, 8760*horizon, 8760*horizon)\n", - "demand_H2_df = pandas.DataFrame(\n", - " data=(400/(8760*horizon)**(0.5))*x**(0.5) + 100)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'AWE': low_trl_adv_df,\n", - " 'H2_L_c': med_trl_adv_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'AWE': low_trl_mod_df,\n", - " 'H2_L_c': med_trl_mod_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'AWE': low_trl_con_df,\n", - " 'H2_L_c': med_trl_con_df,\n", - " 'H2_L_d': constant_df\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated',\n", - " varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True, varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen',\n", - " block='Resource', store_max=10000, store_min=smallM)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=3516428, fopex=87910,\n", - " vopex=0, store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953,\n", - " prod_max=bigM, prod_min=smallM, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0,\n", - " prod_max=bigM, prod_min=smallM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=smallM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion={H2: -0.050, Power: 1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW')\n", - "\n", - "PSH_discharge = Process(name='LiI', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex=0.01, vopex=0.001,\n", - " fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1},\n", - " capex=730, fopex=114, vopex=3.6, prod_max=bigM, prod_min=smallM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)')\n", - "\n", - "AWE = Process(name='AWE', conversion={Power: -1, H2: 0.019, O2: 0.7632, H2O: -0.1753}, capex=1.1*10**6, fopex=16918,\n", - " vopex=0, prod_max=bigM, prod_min=smallM, label='Alkaline water electrolysis (AWE)', citation='Demirhan et al. 2018 AIChE paper')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, PV, SMRH, SMR, DAC,\n", - " AWE, H2_L_c, H2_L_d, AqOff, ASMR, PSH, NGCC}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [], - "source": [ - "capex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['CAPEX']][:horizon]) for i in process_set}\n", - "fopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Fixed O&M']][:horizon]) for i in process_set}\n", - "vopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Variable O&M']][:horizon]) for i in process_set}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: weather[['dni']], WF: weather[['wind_speed']]}, demand_factor={Power: demand, H2: demand_H2_df}, price_factor={\n", - " CH4: ng_price}, scales=scales, label='Houston', capex_factor=capex_factor, vopex_factor=vopex_factor, fopex_factor=fopex_factor, expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case', demand={houston: {H2: 1000, Power: 1000}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/cf_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/cf_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=H2, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/df_h2.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/df_pw.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capex_factor(\n", - " scenario=scenario, location=houston, process=AWE, fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/ef_awe.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/pf_ng.png)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1445886 rows, 1130479 columns and 5479877 nonzeros\n", - "Model fingerprint: 0x0d754c32\n", - "Variable types: 1130431 continuous, 48 integer (48 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [2e+02, 1e+06]\n", - "Presolve removed 1038487 rows and 828202 columns (presolve time = 5s) ...\n", - "Presolve removed 1038487 rows and 828202 columns\n", - "Presolve time: 6.15s\n", - "Presolved: 407399 rows, 302277 columns, 1274269 nonzeros\n", - "Variable types: 302241 continuous, 36 integer (36 binary)\n", - "Found heuristic solution: objective 1.197791e+12\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.13s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 36\n", - " AA' NZ : 1.234e+06\n", - " Factor NZ : 9.249e+06 (roughly 360 MB of memory)\n", - " Factor Ops : 3.775e+08 (less than 1 second per iteration)\n", - " Threads : 2\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 2.37049652e+14 -3.03806119e+16 1.53e+08 2.47e+04 1.27e+11 11s\n", - " 1 1.93423435e+14 -1.29780140e+16 8.16e+07 4.61e+05 4.22e+10 11s\n", - " 2 1.87511136e+14 -6.92143045e+15 7.30e+07 9.79e+04 2.36e+10 11s\n", - " 3 1.52456655e+14 -2.65182908e+15 3.46e+07 2.98e+03 8.43e+09 12s\n", - " 4 8.14356490e+13 -1.24038208e+15 3.31e+05 5.03e+02 1.43e+09 12s\n", - " 5 3.81758017e+13 -3.53563882e+14 3.30e+04 1.11e-03 4.14e+08 13s\n", - " 6 1.96245086e+13 -2.06245555e+14 1.36e+04 6.35e-04 2.38e+08 13s\n", - " 7 1.25387421e+13 -5.45886077e+13 1.76e+03 1.60e-04 7.06e+07 14s\n", - " 8 7.58708450e+12 -1.31105583e+13 3.40e+02 3.72e-05 2.17e+07 14s\n", - " 9 3.81615495e+12 -5.69653691e+12 1.01e+02 1.33e-05 9.97e+06 14s\n", - " 10 2.80821136e+12 -4.48387999e+12 6.34e+01 7.73e-06 7.64e+06 15s\n", - " 11 7.09538185e+11 -2.79093964e+12 4.21e+00 5.43e-07 3.67e+06 15s\n", - " 12 3.84309782e+11 -1.06998900e+12 1.67e+00 1.06e-06 1.52e+06 16s\n", - " 13 1.10371910e+11 -2.40770268e+11 4.11e-01 3.15e-07 3.68e+05 16s\n", - " 14 4.49896728e+10 -4.16450706e+10 1.23e-01 2.69e-07 9.07e+04 17s\n", - " 15 3.56818631e+10 -2.65598627e+09 8.16e-02 2.36e-07 4.01e+04 17s\n", - " 16 3.28404165e+10 4.52188579e+09 6.72e-02 1.81e-07 2.96e+04 18s\n", - " 17 2.95938125e+10 9.35859067e+09 4.92e-02 2.10e-07 2.12e+04 18s\n", - " 18 2.71692029e+10 1.07247617e+10 3.70e-02 1.28e-07 1.72e+04 19s\n", - " 19 2.68162245e+10 1.11902148e+10 3.50e-02 2.24e-07 1.63e+04 20s\n", - " 20 2.64487756e+10 1.22910544e+10 3.31e-02 2.21e-07 1.48e+04 20s\n", - " 21 2.56626538e+10 1.32170703e+10 2.89e-02 2.50e-07 1.30e+04 21s\n", - " 22 2.44779340e+10 1.42179019e+10 2.24e-02 3.03e-07 1.07e+04 22s\n", - " 23 2.41353666e+10 1.49767838e+10 2.03e-02 1.85e-07 9.58e+03 22s\n", - " 24 2.35021979e+10 1.58661937e+10 1.66e-02 7.49e-07 7.98e+03 23s\n", - " 25 2.31996026e+10 1.61901559e+10 1.48e-02 3.29e-07 7.33e+03 24s\n", - " 26 2.28822079e+10 1.64206840e+10 1.26e-02 5.53e-07 6.76e+03 24s\n", - " 27 2.27933068e+10 1.74946396e+10 1.20e-02 3.65e-07 5.54e+03 25s\n", - " 28 2.25287997e+10 1.77926813e+10 1.02e-02 3.82e-07 4.95e+03 26s\n", - " 29 2.24188046e+10 1.79582584e+10 9.44e-03 3.00e-07 4.66e+03 26s\n", - " 30 2.23306882e+10 1.80993702e+10 8.81e-03 6.41e-07 4.42e+03 27s\n", - " 31 2.22582735e+10 1.83131331e+10 8.28e-03 3.19e-07 4.12e+03 28s\n", - " 32 2.22178335e+10 1.84500266e+10 7.96e-03 2.95e-07 3.94e+03 28s\n", - " 33 2.21663171e+10 1.85788437e+10 7.58e-03 4.70e-07 3.75e+03 29s\n", - " 34 2.21243135e+10 1.87101166e+10 7.28e-03 5.39e-07 3.57e+03 30s\n", - " 35 2.19682358e+10 1.89772836e+10 6.12e-03 9.17e-07 3.13e+03 30s\n", - " 36 2.18550795e+10 1.93972889e+10 5.20e-03 2.24e-06 2.57e+03 31s\n", - " 37 2.17699199e+10 1.95456518e+10 4.50e-03 2.28e-06 2.33e+03 32s\n", - " 38 2.16386203e+10 1.97707250e+10 3.44e-03 4.74e-07 1.95e+03 32s\n", - " 39 2.15653516e+10 1.99384037e+10 2.86e-03 5.47e-07 1.70e+03 33s\n", - " 40 2.15220245e+10 2.00191220e+10 2.52e-03 7.02e-07 1.57e+03 34s\n", - " 41 2.14773705e+10 2.02771086e+10 2.17e-03 8.85e-07 1.26e+03 34s\n", - " 42 2.14533478e+10 2.03334007e+10 2.00e-03 6.62e-07 1.17e+03 35s\n", - " 43 2.14095144e+10 2.05901451e+10 1.64e-03 1.16e-06 8.57e+02 36s\n", - " 44 2.13866393e+10 2.06058499e+10 1.48e-03 1.13e-06 8.16e+02 36s\n", - " 45 2.13716438e+10 2.06674920e+10 1.37e-03 7.53e-07 7.36e+02 37s\n", - " 46 2.13606113e+10 2.06837762e+10 1.29e-03 6.47e-07 7.08e+02 37s\n", - " 47 2.13368279e+10 2.07659230e+10 1.11e-03 1.95e-06 5.97e+02 38s\n", - " 48 2.13130278e+10 2.07906785e+10 9.49e-04 2.14e-06 5.46e+02 39s\n", - " 49 2.13057344e+10 2.08027805e+10 8.97e-04 2.22e-06 5.26e+02 39s\n", - " 50 2.12916352e+10 2.08304405e+10 8.03e-04 2.73e-06 4.82e+02 40s\n", - " 51 2.12744021e+10 2.08467933e+10 6.76e-04 3.55e-06 4.47e+02 40s\n", - " 52 2.12686614e+10 2.08812670e+10 6.38e-04 4.08e-06 4.05e+02 41s\n", - " 53 2.12643789e+10 2.08921322e+10 6.11e-04 7.12e-06 3.89e+02 42s\n", - " 54 2.12515674e+10 2.09636101e+10 5.30e-04 3.13e-06 3.01e+02 42s\n", - " 55 2.12421110e+10 2.09788832e+10 4.71e-04 2.04e-06 2.75e+02 43s\n", - " 56 2.12362366e+10 2.09944581e+10 4.37e-04 2.10e-06 2.53e+02 44s\n", - " 57 2.12316605e+10 2.10214915e+10 4.10e-04 1.45e-06 2.20e+02 44s\n", - " 58 2.12257223e+10 2.10309823e+10 3.77e-04 2.25e-06 2.04e+02 45s\n", - " 59 2.12235678e+10 2.10351886e+10 3.63e-04 3.01e-06 1.97e+02 45s\n", - " 60 2.12178863e+10 2.10558179e+10 3.28e-04 5.31e-06 1.69e+02 46s\n", - " 61 2.12162138e+10 2.10581149e+10 3.18e-04 5.28e-06 1.65e+02 47s\n", - " 62 2.12100861e+10 2.10675711e+10 2.83e-04 5.36e-06 1.49e+02 47s\n", - " 63 2.11985926e+10 2.10902141e+10 2.14e-04 2.51e-06 1.13e+02 48s\n", - " 64 2.11968459e+10 2.10939638e+10 2.04e-04 1.78e-06 1.08e+02 48s\n", - " 65 2.11928907e+10 2.11025833e+10 1.82e-04 2.51e-06 9.44e+01 49s\n", - " 66 2.11904601e+10 2.11055540e+10 1.67e-04 2.21e-06 8.88e+01 50s\n", - " 67 2.11863496e+10 2.11126781e+10 1.43e-04 1.24e-05 7.70e+01 50s\n", - " 68 2.11842169e+10 2.11158791e+10 1.31e-04 1.19e-05 7.14e+01 51s\n", - " 69 2.11807352e+10 2.11195231e+10 1.11e-04 1.13e-05 6.40e+01 51s\n", - " 70 2.11780657e+10 2.11255498e+10 9.52e-05 5.10e-06 5.49e+01 52s\n", - " 71 2.11723740e+10 2.11302187e+10 6.28e-05 5.34e-06 4.41e+01 53s\n", - " 72 2.11699022e+10 2.11379151e+10 4.92e-05 9.43e-06 3.34e+01 53s\n", - " 73 2.11683114e+10 2.11394770e+10 4.07e-05 9.51e-06 3.02e+01 54s\n", - " 74 2.11679762e+10 2.11437940e+10 3.88e-05 1.25e-05 2.53e+01 54s\n", - " 75 2.11664279e+10 2.11458795e+10 3.02e-05 9.08e-06 2.15e+01 55s\n", - " 76 2.11657428e+10 2.11493129e+10 2.67e-05 8.72e-06 1.72e+01 56s\n", - " 77 2.11643099e+10 2.11512568e+10 1.96e-05 9.97e-06 1.36e+01 56s\n", - " 78 2.11638163e+10 2.11523510e+10 1.71e-05 6.03e-06 1.20e+01 57s\n", - " 79 2.11628989e+10 2.11532191e+10 1.23e-05 3.87e-06 1.01e+01 58s\n", - " 80 2.11621710e+10 2.11548317e+10 8.63e-06 1.26e-06 7.68e+00 58s\n", - " 81 2.11620068e+10 2.11557266e+10 7.84e-06 4.71e-06 6.57e+00 59s\n", - " 82 2.11618571e+10 2.11559439e+10 7.08e-06 4.49e-06 6.18e+00 60s\n", - " 83 2.11615663e+10 2.11582593e+10 5.70e-06 1.99e-06 3.46e+00 61s\n", - " 84 2.11614015e+10 2.11583789e+10 4.92e-06 2.28e-06 3.16e+00 62s\n", - " 85 2.11608184e+10 2.11589375e+10 4.47e-05 1.39e-06 1.97e+00 65s\n", - " 86 2.11607858e+10 2.11592262e+10 4.02e-05 1.42e-06 1.63e+00 66s\n", - " 87 2.11607245e+10 2.11593369e+10 3.02e-05 8.25e-07 1.45e+00 68s\n", - " 88 2.11606996e+10 2.11593773e+10 2.67e-05 5.42e-07 1.38e+00 70s\n", - " 89 2.11605554e+10 2.11596973e+10 9.12e-06 6.15e-07 8.97e-01 72s\n", - " 90 2.11604984e+10 2.11599403e+10 6.29e-06 6.37e-07 5.83e-01 73s\n", - " 91 2.11604687e+10 2.11600500e+10 2.31e-04 6.35e-06 4.37e-01 75s\n", - " 92 2.11603969e+10 2.11601419e+10 7.64e-04 2.90e-06 2.66e-01 77s\n", - " 93 2.11603625e+10 2.11602247e+10 1.18e-03 1.51e-06 1.44e-01 78s\n", - " 94 2.11603536e+10 2.11602413e+10 1.26e-03 8.26e-07 1.17e-01 80s\n", - " 95 2.11603463e+10 2.11602554e+10 1.31e-03 2.73e-06 9.50e-02 81s\n", - " 96 2.11603321e+10 2.11602771e+10 1.28e-03 5.13e-06 5.74e-02 82s\n", - " 97 2.11603187e+10 2.11602868e+10 6.63e-04 5.22e-06 3.33e-02 83s\n", - " 98 2.11603154e+10 2.11602934e+10 5.16e-04 7.44e-06 2.29e-02 84s\n", - " 99 2.11603121e+10 2.11602983e+10 3.72e-04 1.63e-07 1.45e-02 85s\n", - " 100 2.11603087e+10 2.11603014e+10 2.26e-04 1.17e-06 7.68e-03 86s\n", - " 101 2.11603062e+10 2.11603020e+10 1.20e-04 1.50e-06 4.40e-03 86s\n", - " 102 2.11603055e+10 2.11603028e+10 9.05e-05 4.79e-07 2.87e-03 87s\n", - " 103 2.11603043e+10 2.11603030e+10 3.92e-05 9.53e-08 1.32e-03 87s\n", - " 104 2.11603035e+10 2.11603032e+10 1.00e-05 1.38e-07 3.92e-04 88s\n", - " 105 2.11603034e+10 2.11603032e+10 4.93e-06 1.02e-07 1.65e-04 88s\n", - " 106 2.11603034e+10 2.11603032e+10 4.30e-06 3.64e-07 1.40e-04 89s\n", - "\n", - "Barrier solved model in 106 iterations and 88.83 seconds (40.02 work units)\n", - "Optimal objective 2.11603034e+10\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 183874 DPushes remaining with DInf 0.0000000e+00 89s\n", - " 6096 DPushes remaining with DInf 0.0000000e+00 90s\n", - " 282 DPushes remaining with DInf 0.0000000e+00 95s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 96s\n", - "\n", - " 96835 PPushes remaining with PInf 1.2385180e-06 96s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 97s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 1.2961725e+00 97s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 142238 2.1160303e+10 0.000000e+00 1.296171e+00 97s\n", - " 142247 2.1160303e+10 0.000000e+00 0.000000e+00 98s\n", - "Concurrent spin time: 0.02s\n", - "\n", - "Solved with barrier\n", - " 142247 2.1160303e+10 0.000000e+00 0.000000e+00 98s\n", - "\n", - "Root relaxation: objective 2.116030e+10, 142247 iterations, 89.17 seconds (55.11 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 2.116030e+10 2.1160e+10 0.00% - 98s\n", - "\n", - "Explored 1 nodes (142247 simplex iterations) in 98.27 seconds (63.70 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 2.11603e+10 1.19779e+12 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (4.2319e-06) exceeds tolerance\n", - "Best objective 2.116030326639e+10, best bound 2.116030326639e+10, gap 0.0000%\n" - ] - } - ], - "source": [ - "\n", - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(8, 6))" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Total Costs](plots/total.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='ASMR',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schdule for ASMR](plots/sch_asmr.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schdule for WF](plots/sch_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='H2_L',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schdule for H2_L](plots/sch_h2l.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/sl-sp-milp.ipynb b/examples/multiperiod-examples/sl-sp-milp.ipynb deleted file mode 100644 index 513a9277..00000000 --- a/examples/multiperiod-examples/sl-sp-milp.ipynb +++ /dev/null @@ -1,2166 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 5" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n", - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n", - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['LiI', 'Power', 'stored']" - ] - }, - "execution_count": 72, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "s = 'LiI_Power_stored'\n", - "s.split(\"_\")" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "coord_sandiego = (32.77000045776367, -117.22000122070312)\n", - "weather_sandiego = pandas.read_csv('../data/weather_sandiego.csv', index_col=0)\n", - "weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [], - "source": [ - "df = weather_houston[['ghi']]\n", - "df.index = df.index - pandas.DateOffset(hours = 5)" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\1662085851.py:1: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df['date'] = df.index\n" - ] - } - ], - "source": [ - "df['date'] = df.index\n" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\3731540251.py:7: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df['month'] = df.index.month\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\3731540251.py:8: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df['year'] = df.index.year\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\3731540251.py:9: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df['day'] = df.index.day\n" - ] - } - ], - "source": [ - "# df = pandas.read_csv('../data/ho_solar20.csv')\n", - "# df.columns = ['date', 'wind_speed', 'dni']\n", - "# df = df[['date', 'dni']]\n", - "# df.date = pandas.to_datetime(df.date)\n", - "# df.index = df['date']\n", - "hour = pandas.to_timedelta(df['date'].dt.hour, unit='H')\n", - "df['month'] = df.index.month\n", - "df['year'] = df.index.year\n", - "df['day'] = df.index.day" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "metadata": {}, - "outputs": [], - "source": [ - "df_jan = df[(df['month'] == 1)&(df['year'] == 2020)]\n", - "df_apr = df[(df['month'] == 4)&(df['year'] == 2020)]\n", - "df_jul = df[(df['month'] == 7)&(df['year'] == 2020)]\n", - "df_oct = df[(df['month'] == 10)&(df['year'] == 2020)]" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\819404639.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " df_jan = df_jan.groupby(hour).mean()\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\819404639.py:2: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " df_apr = df_apr.groupby(hour).mean()\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\819404639.py:3: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " df_jul = df_jul.groupby(hour).mean()\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\819404639.py:4: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " df_oct = df_oct.groupby(hour).mean()\n" - ] - } - ], - "source": [ - "df_jan = df_jan.groupby(hour).mean()\n", - "df_apr = df_apr.groupby(hour).mean()\n", - "df_jul = df_jul.groupby(hour).mean()\n", - "df_oct = df_oct.groupby(hour).mean()" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "plt.plot(list(range(24)), df_jan['ghi'], label = 'January')\n", - "plt.plot(list(range(24)),df_apr['ghi'], label = 'April')\n", - "plt.plot(list(range(24)),df_jul['ghi'], label = 'July')\n", - "plt.plot(list(range(24)),df_oct['ghi'], label = 'October')\n", - "plt.ylabel(\"Average GHI (W/m2)\")\n", - "plt.xlabel(\"Hour\")\n", - "plt.title('Seasonal Solar Profile - Houston (2020)')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "plt.legend()\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [], - "source": [ - "df_jul4 = df[(df['month'] == 7)&(df['year'] == 2020)&(df['day'] == 4)]\n", - "df_jul5 = df[(df['month'] == 7)&(df['year'] == 2020)&(df['day'] == 5)]\n", - "df_jul6 = df[(df['month'] == 7)&(df['year'] == 2020)&(df['day'] == 6)]\n", - "df_jul7 = df[(df['month'] == 7)&(df['year'] == 2020)&(df['day'] == 7)]\n", - "df_jul8 = df[(df['month'] == 7)&(df['year'] == 2020)&(df['day'] == 8)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "plt.plot(list(range(24)),df_jul4['ghi'], label = '4th')\n", - "plt.plot(list(range(24)),df_jul5['ghi'], label = '5th')\n", - "plt.plot(list(range(24)),df_jul6['ghi'], label = '6th')\n", - "plt.plot(list(range(24)),df_jul7['ghi'], label = '7th')\n", - "plt.plot(list(range(24)),df_jul8['ghi'], label = '8th')\n", - "\n", - "plt.ylabel(\"Average GHI (W/m2)\")\n", - "plt.xlabel(\"Hour\")\n", - "plt.title('Daily Solar Profile - Houston (July 2020)')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "plt.legend()\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "metadata": {}, - "outputs": [], - "source": [ - "df_jul416 = df[(df['month'] == 7)&(df['year'] == 2016)&(df['day'] == 4)]\n", - "df_jul417 = df[(df['month'] == 7)&(df['year'] == 2017)&(df['day'] == 4)]\n", - "df_jul418 = df[(df['month'] == 7)&(df['year'] == 2018)&(df['day'] == 4)]\n", - "df_jul419 = df[(df['month'] == 7)&(df['year'] == 2019)&(df['day'] == 4)]\n", - "df_jul420 = df[(df['month'] == 7)&(df['year'] == 2020)&(df['day'] == 4)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "plt.plot(list(range(24)),df_jul416['ghi'], label = '2016')\n", - "plt.plot(list(range(24)),df_jul417['ghi'], label = '2017')\n", - "plt.plot(list(range(24)),df_jul418['ghi'], label = '2018')\n", - "plt.plot(list(range(24)),df_jul419['ghi'], label = '2019')\n", - "plt.plot(list(range(24)),df_jul420['ghi'], label = '2020')\n", - "plt.ylabel(\"Average GHI (W/m2)\")\n", - "plt.xlabel(\"Hour\")\n", - "plt.title('Daily Solar Profile - Houston (July 4th)')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "plt.legend()\n", - "plt.rcdefaults()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Calculate the solar and wind power outputs" - ] - }, - { - "cell_type": "code", - "execution_count": 85, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston)\n", - "solar_sandiego = solar_power_output(data= weather_sandiego, coord=coord_sandiego)" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston)\n", - "wind_sandiego = wind_power_output(data= weather_sandiego)" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.utils.data_utils import min_max" - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "ax.plot(list(range(24)),min_max(solar_houston['PV_Power'][24*185:24*186]), label = 'Power output')\n", - "ax.plot(list(range(24)),min_max(weather_houston['ghi'][24*185:24*186]), label = 'GHI')\n", - "plt.ylabel(\"Normalized Capacity Factor\")\n", - "plt.xlabel(\"Hour (UTC)\")\n", - "plt.legend()\n", - "plt.title(\"PV profile for 4th of July, 2016\")\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\numpy\\core\\fromnumeric.py:84: FutureWarning: In a future version, DataFrame.min(axis=None) will return a scalar min over the entire DataFrame. To retain the old behavior, use 'frame.min(axis=0)' or just 'frame.min()'\n", - " return reduction(axis=axis, out=out, **passkwargs)\n", - "c:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\numpy\\core\\fromnumeric.py:84: FutureWarning: In a future version, DataFrame.max(axis=None) will return a scalar max over the entire DataFrame. To retain the old behavior, use 'frame.max(axis=0)' or just 'frame.max()'\n", - " return reduction(axis=axis, out=out, **passkwargs)\n", - "c:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\numpy\\core\\fromnumeric.py:84: FutureWarning: In a future version, DataFrame.min(axis=None) will return a scalar min over the entire DataFrame. To retain the old behavior, use 'frame.min(axis=0)' or just 'frame.min()'\n", - " return reduction(axis=axis, out=out, **passkwargs)\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "ax.plot(list(range(24)),min_max(wind_houston[24*185:24*186]), label = 'Power output')\n", - "ax.plot(list(range(24)),min_max(weather_houston['wind_speed'][24*185:24*186]), label = 'Wind Speed')\n", - "plt.ylabel(\"Normalized Capacity Factor\")\n", - "plt.xlabel(\"Hour (UTC)\")\n", - "plt.legend()\n", - "plt.title(\"Wind mill profile for 4th of July, 2016\")\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**import natural gas prices**\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import demand data**\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": {}, - "outputs": [], - "source": [ - "# ercot = pandas.DataFrame(pandas.concat(\n", - "# [pandas.read_excel(f'../data/Native_Load_{2016 + i}.xlsx')['COAST'] for i in range(5)]))\n", - "# ercot.index = index\n", - "# ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "# ercot.index = ercot.index.strftime('%m/%d/%Y, %r')\n", - "# ercot = ercot[~ercot.index.str.contains('02/29')]\n", - "# ercot.to_csv('../data/ercot.csv')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [], - "source": [ - "ercot['date'] = ercot.index\n", - "ercot['year'] = ercot.index.year" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": {}, - "outputs": [], - "source": [ - "ercot2 = ercot.groupby('year')['COAST'].apply(list)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\1188541800.py:7: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " ercot_2016m = ercot_2016.groupby(hour).mean()\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\1188541800.py:8: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " ercot_2017m = ercot_2017.groupby(hour).mean()\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\1188541800.py:9: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " ercot_2018m = ercot_2018.groupby(hour).mean()\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\1188541800.py:10: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " ercot_2019m = ercot_2019.groupby(hour).mean()\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\1188541800.py:11: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " ercot_2020m = ercot_2020.groupby(hour).mean()\n" - ] - } - ], - "source": [ - "ercot_2016 = ercot[ercot['year'] == 2016]\n", - "ercot_2017 = ercot[ercot['year'] == 2017]\n", - "ercot_2018 = ercot[ercot['year'] == 2018]\n", - "ercot_2019 = ercot[ercot['year'] == 2019]\n", - "ercot_2020 = ercot[ercot['year'] == 2020]\n", - "\n", - "ercot_2016m = ercot_2016.groupby(hour).mean()\n", - "ercot_2017m = ercot_2017.groupby(hour).mean()\n", - "ercot_2018m = ercot_2018.groupby(hour).mean()\n", - "ercot_2019m = ercot_2019.groupby(hour).mean()\n", - "ercot_2020m = ercot_2020.groupby(hour).mean()\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "ax.plot(list(range(24)),ercot_2016m['COAST'], label = '2016')\n", - "ax.plot(list(range(24)),ercot_2017m['COAST'], label = '2017')\n", - "ax.plot(list(range(24)),ercot_2018m['COAST'], label = '2018')\n", - "ax.plot(list(range(24)),ercot_2019m['COAST'], label = '2019')\n", - "ax.plot(list(range(24)),ercot_2020m['COAST'], label = '2020')\n", - "plt.ylabel(\"Power (MW)\")\n", - "plt.xlabel(\"Year\")\n", - "plt.legend()\n", - "plt.title('Average Hourly Power Demand')\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": {}, - "outputs": [], - "source": [ - "from statistics import mean\n", - "ercot_avg = [mean(ercot2[2016+i]) for i in range(5) ]" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[11699.168426442255,\n", - " 11930.906840785434,\n", - " 12164.573948968608,\n", - " 12354.094953188242,\n", - " 12521.446820117124]" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ercot_avg" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "ax.plot([int(i+2016) for i in range(5)],ercot_avg, color = 'blue')\n", - "ax.set_xticks([int(i+2016) for i in range(5)])\n", - "ax.set_xticklabels([int(i+2016) for i in range(5)])\n", - "plt.ylabel(\"Power (MW)\")\n", - "plt.xlabel(\"Year\")\n", - "plt.title('Average Hourly Power Demand')\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19236\\4135161346.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n", - " ercot3 = ercot.groupby(hour).mean()\n" - ] - } - ], - "source": [ - "ercot3 = ercot.groupby(hour).mean()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,4))\n", - "ax.plot(list(range(24)),ercot3['COAST'], color = 'blue')\n", - "# ax.set_xticks([int(i+2016) for i in range(5)])\n", - "# ax.set_xticklabels([int(i+2016) for i in range(5)])\n", - "plt.ylabel(\"Power (MW)\")\n", - "plt.xlabel(\"Year\")\n", - "plt.title('Average Hourly Power Demand')\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [], - "source": [ - "ercot['date'] = ercot.index" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Technology cost data from NREL ATB**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'PEM': low_trl_adv_df,\n", - " 'H2_L_c': med_trl_adv_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'PEM': low_trl_mod_df,\n", - " 'H2_L_c': med_trl_mod_df,\n", - " 'H2_L_d': constant_df\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'PEM': low_trl_con_df,\n", - " 'H2_L_c': med_trl_con_df,\n", - " 'H2_L_d': constant_df\n", - "}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "metadata": {}, - "outputs": [], - "source": [ - "adv = advanced_dict['PV']['CAPEX']\n", - "mod = moderate_dict['PV']['CAPEX']\n", - "con = conservative_dict['PV']['CAPEX']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(12,6))\n", - "ax.plot(list(range(31)), adv, color = 'green', label = 'Advanced')\n", - "ax.plot(list(range(31)), mod, color = 'orange', label = 'Moderatate')\n", - "ax.plot(list(range(31)), con, color = 'red', label = 'Conservative')\n", - "\n", - "ax.set_xticks([int(i) for i in range(31)])\n", - "ax.set_xticklabels([int(i+2020) for i in range(31)])\n", - "plt.ylabel(\"$/KWh\")\n", - "plt.xlabel(\"Year\")\n", - "plt.title('Capital Expenditure Scenarios for PVs')\n", - "plt.grid(alpha=0.3)\n", - "plt.xticks(rotation=90)\n", - "plt.legend()\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 10\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated',\n", - " varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True, varying=[VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen',\n", - " block='Resource', store_max=10000, store_min=smallM)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=3516428, fopex=87910,\n", - " vopex=0, store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land=30,\n", - " prod_max=bigM, prod_min=smallM, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW', block='power_gen')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land=50,\n", - " prod_max=bigM, prod_min=smallM, varying=[VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW', block='power_gen')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=smallM, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "H2FC = Process(name='H2FC', conversion={H2: -0.050, Power: 1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='LiI', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage', block='h2_store')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex=0.01, vopex=0.001,\n", - " fopex=0, prod_max=bigM, prod_min=smallM, label='Hydrogen geological storage discharge')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.01248, O2: 0.09987, H2O: -0.11235}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0.1, basis = 'tons', label = 'PEM' , block = 'h2_prod')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, PV, SMRH, SMR, DAC,\n", - " PEM, H2_L_c, H2_L_d, AqOff, PSH, NGCC}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "metadata": {}, - "outputs": [], - "source": [ - "capex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['CAPEX']][:horizon]) for i in process_set}\n", - "fopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Fixed O&M']][:horizon]) for i in process_set}\n", - "vopex_factor = {i: pandas.DataFrame(\n", - " advanced_dict[i.name][['Variable O&M']][:horizon]) for i in process_set}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston, WF: wind_houston}, demand_factor={Power: ercot[['COAST']]}, price_factor={\n", - " CH4: ng_price_df}, scales=scales, label='Houston', capex_factor=capex_factor, vopex_factor=vopex_factor, fopex_factor=fopex_factor, expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, label='full_case', demand={houston: {H2: 1000, Power: 1000}})\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 119, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capex_factor(\n", - " scenario=scenario, location=houston, process=PEM, fig_size=(9, 5), color='green')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=scenario, location=houston, resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 2190745 rows, 1884111 columns and 10351504 nonzeros\n", - "Model fingerprint: 0x98722ac4\n", - "Variable types: 1884036 continuous, 75 integer (75 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+02, 1e+06]\n", - "Presolve removed 1301228 rows and 1301194 columns (presolve time = 5s) ...\n", - "Presolve removed 1553117 rows and 1421685 columns (presolve time = 10s) ...\n", - "Presolve removed 1563381 rows and 1431949 columns (presolve time = 15s) ...\n", - "Presolve removed 1563400 rows and 1431959 columns\n", - "Presolve time: 16.43s\n", - "Presolved: 627345 rows, 452152 columns, 1925056 nonzeros\n", - "Variable types: 452107 continuous, 45 integer (45 binary)\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.30s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 55\n", - " AA' NZ : 1.910e+06\n", - " Factor NZ : 1.844e+07 (roughly 600 MB of memory)\n", - " Factor Ops : 1.141e+09 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 7.36760363e+14 -4.38756594e+16 1.33e+08 4.10e+04 1.05e+11 29s\n", - " 1 6.11990012e+14 -1.82396592e+16 6.94e+07 6.37e+05 3.87e+10 29s\n", - " 2 6.02239295e+14 -1.37320199e+16 6.69e+07 4.19e+05 3.32e+10 30s\n", - " 3 5.38709761e+14 -4.93650074e+15 4.70e+07 6.31e+04 1.75e+10 31s\n", - " 4 3.68111684e+14 -1.62338002e+15 1.07e+07 4.56e+02 4.02e+09 32s\n", - " 5 7.54557626e+13 -6.27157170e+14 1.29e+06 1.76e+02 7.43e+08 33s\n", - " 6 3.33436641e+13 -3.06817230e+14 3.47e+05 5.40e+01 2.92e+08 34s\n", - " 7 2.51203099e+13 -1.40837685e+14 2.12e+05 2.86e-04 1.44e+08 35s\n", - " 8 1.60090949e+13 -1.17975065e+14 8.77e+04 2.21e-04 1.05e+08 36s\n", - " 9 1.13521528e+13 -5.18982072e+13 4.44e+04 1.51e-04 4.91e+07 37s\n", - " 10 4.60796001e+12 -1.22759053e+13 7.32e+03 1.56e-04 1.24e+07 38s\n", - " 11 1.56979103e+12 -2.95253507e+12 1.38e+03 8.68e-05 3.23e+06 39s\n", - " 12 8.10010118e+11 -8.28855542e+11 6.20e+02 1.43e-05 1.17e+06 40s\n", - " 13 6.03503196e+11 -6.46098543e+11 4.31e+02 2.09e-05 8.89e+05 40s\n", - " 14 5.17676662e+11 -4.33452615e+11 3.58e+02 1.32e-05 6.77e+05 41s\n", - " 15 4.77018160e+11 -3.15327433e+11 3.23e+02 1.19e-05 5.64e+05 43s\n", - " 16 4.48011123e+11 -2.49585775e+11 2.95e+02 9.36e-06 4.96e+05 44s\n", - " 17 4.21301575e+11 -2.03098027e+11 2.72e+02 8.70e-06 4.44e+05 45s\n", - " 18 3.60959066e+11 -1.51955435e+11 2.19e+02 7.45e-06 3.64e+05 46s\n", - " 19 3.46440350e+11 -1.24497836e+11 2.05e+02 5.19e-06 3.34e+05 47s\n", - " 20 3.17473680e+11 -7.13602629e+10 1.76e+02 4.44e-06 2.76e+05 48s\n", - " 21 2.97467177e+11 -4.46340689e+10 1.57e+02 4.44e-06 2.42e+05 49s\n", - " 22 2.74212644e+11 -2.28702080e+10 1.34e+02 4.26e-06 2.10e+05 51s\n", - " 23 2.60799964e+11 -4.52913080e+09 1.20e+02 3.04e-06 1.88e+05 52s\n", - " 24 2.50511169e+11 2.51723303e+10 1.07e+02 2.79e-06 1.59e+05 53s\n", - " 25 2.40184965e+11 3.98313276e+10 9.56e+01 2.12e-06 1.41e+05 54s\n", - " 26 2.26076866e+11 5.90117723e+10 7.88e+01 2.26e-06 1.18e+05 55s\n", - " 27 2.16188894e+11 6.80895770e+10 6.65e+01 2.00e-06 1.04e+05 57s\n", - " 28 2.09688600e+11 7.83324148e+10 5.81e+01 1.77e-06 9.23e+04 58s\n", - " 29 2.07938969e+11 8.26140307e+10 5.55e+01 1.86e-06 8.81e+04 59s\n", - " 30 2.02133548e+11 9.29719945e+10 4.67e+01 1.93e-06 7.66e+04 60s\n", - " 31 1.97207583e+11 1.00015897e+11 3.91e+01 1.56e-06 6.81e+04 61s\n", - " 32 1.94797225e+11 1.13951887e+11 3.56e+01 1.21e-06 5.66e+04 62s\n", - " 33 1.90006518e+11 1.20302050e+11 2.78e+01 1.01e-06 4.88e+04 63s\n", - " 34 1.87469143e+11 1.32781385e+11 2.39e+01 6.48e-07 3.82e+04 65s\n", - " 35 1.83987390e+11 1.38067281e+11 1.81e+01 4.25e-07 3.21e+04 66s\n", - " 36 1.81873635e+11 1.44973811e+11 1.47e+01 5.81e-07 2.57e+04 67s\n", - " 37 1.80635928e+11 1.48555376e+11 1.28e+01 4.90e-07 2.24e+04 68s\n", - " 38 1.79838015e+11 1.52431461e+11 1.15e+01 3.73e-07 1.91e+04 70s\n", - " 39 1.79122507e+11 1.55601510e+11 1.04e+01 3.18e-07 1.64e+04 71s\n", - " 40 1.77766208e+11 1.58545762e+11 8.38e+00 3.29e-07 1.34e+04 72s\n", - " 41 1.76835412e+11 1.60953210e+11 7.05e+00 2.12e-07 1.11e+04 73s\n", - " 42 1.75675589e+11 1.62185866e+11 5.40e+00 2.07e-07 9.39e+03 75s\n", - " 43 1.75100388e+11 1.63685052e+11 4.62e+00 3.80e-07 7.95e+03 76s\n", - " 44 1.74581166e+11 1.64764611e+11 3.92e+00 2.91e-07 6.83e+03 77s\n", - " 45 1.73723532e+11 1.66075317e+11 2.77e+00 3.83e-07 5.32e+03 78s\n", - " 46 1.73042280e+11 1.68123071e+11 1.90e+00 5.90e-07 3.42e+03 79s\n", - " 47 1.72520660e+11 1.68983014e+11 1.30e+00 6.63e-07 2.46e+03 80s\n", - " 48 1.72116604e+11 1.69716552e+11 8.43e-01 5.97e-07 1.67e+03 81s\n", - " 49 1.71918234e+11 1.69904023e+11 6.33e-01 6.88e-07 1.40e+03 82s\n", - " 50 1.71735130e+11 1.70017794e+11 4.53e-01 5.37e-07 1.19e+03 84s\n", - " 51 1.71578214e+11 1.70454370e+11 2.98e-01 4.57e-07 7.81e+02 85s\n", - " 52 1.71564265e+11 1.70710557e+11 2.85e-01 5.09e-07 5.93e+02 86s\n", - " 53 1.71479762e+11 1.70829219e+11 2.06e-01 5.10e-07 4.52e+02 87s\n", - " 54 1.71353074e+11 1.71052913e+11 8.63e-02 5.16e-07 2.09e+02 88s\n", - " 55 1.71275611e+11 1.71121016e+11 1.67e-02 4.31e-07 1.07e+02 89s\n", - " 56 1.71266334e+11 1.71123270e+11 1.07e-02 4.32e-07 9.94e+01 90s\n", - " 57 1.71263401e+11 1.71190856e+11 8.57e-03 1.95e-07 5.04e+01 91s\n", - " 58 1.71255886e+11 1.71225540e+11 3.57e-03 3.30e-07 2.11e+01 92s\n", - " 59 1.71253313e+11 1.71237171e+11 2.04e-03 2.15e-07 1.12e+01 93s\n", - " 60 1.71251543e+11 1.71243922e+11 1.06e-03 1.28e-07 5.29e+00 93s\n", - " 61 1.71250493e+11 1.71246357e+11 5.32e-04 2.07e-07 2.87e+00 94s\n", - " 62 1.71250154e+11 1.71247485e+11 3.67e-04 1.21e-07 1.85e+00 95s\n", - " 63 1.71249927e+11 1.71247903e+11 2.69e-04 9.78e-08 1.41e+00 96s\n", - " 64 1.71249661e+11 1.71248574e+11 1.45e-04 8.75e-08 7.55e-01 97s\n", - " 65 1.71249520e+11 1.71249000e+11 8.20e-05 8.01e-08 3.61e-01 98s\n", - " 66 1.71249421e+11 1.71249161e+11 4.17e-05 6.33e-08 1.80e-01 99s\n", - " 67 1.71249358e+11 1.71249213e+11 2.02e-05 9.16e-08 1.01e-01 100s\n", - " 68 1.71249325e+11 1.71249257e+11 9.24e-06 7.52e-08 4.67e-02 101s\n", - " 69 1.71249307e+11 1.71249280e+11 3.88e-06 1.41e-07 1.84e-02 103s\n", - " 70 1.71249295e+11 1.71249290e+11 5.46e-07 1.70e-07 3.64e-03 104s\n", - " 71 1.71249293e+11 1.71249291e+11 1.51e-07 1.56e-07 1.29e-03 106s\n", - " 72 1.71249292e+11 1.71249292e+11 9.04e-08 8.32e-07 1.78e-04 107s\n", - " 73 1.71249292e+11 1.71249292e+11 5.39e-08 8.90e-07 1.02e-04 109s\n", - "\n", - "Barrier solved model in 73 iterations and 108.64 seconds (51.26 work units)\n", - "Optimal objective 1.71249292e+11\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 190516 DPushes remaining with DInf 0.0000000e+00 109s\n", - " 7841 DPushes remaining with DInf 0.0000000e+00 110s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 114s\n", - "\n", - " 103183 PPushes remaining with PInf 0.0000000e+00 114s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 115s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 1.9540327e+01 115s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 143106 1.7124929e+11 0.000000e+00 1.954033e+01 115s\n", - " 143231 1.7124929e+11 0.000000e+00 0.000000e+00 116s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with barrier\n", - " 143231 1.7124929e+11 0.000000e+00 0.000000e+00 116s\n", - "\n", - "Root relaxation: objective 1.712493e+11, 143231 iterations, 93.38 seconds (50.23 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.712493e+11 1.7125e+11 0.00% - 116s\n", - "\n", - "Explored 1 nodes (143231 simplex iterations) in 116.86 seconds (64.43 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.71249e+11 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (6.1274e-05) exceeds tolerance\n", - "Best objective 1.712492923343e+11, best bound 1.712492923343e+11, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp_cost\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 123, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(8, 6))" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Total Costs](plots/total.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 124, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='PV',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schdule for ASMR](plots/sch_asmr.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 125, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schdule for WF](plots/sch_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='H2_L',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Schdule for H2_L](plots/sch_h2l.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 183.80476053606372,\n", - " ('HO', 'AqOff', 1): 247.65307360880095,\n", - " ('HO', 'AqOff', 2): 188.2900798803821,\n", - " ('HO', 'AqOff', 3): 236.6921972347228,\n", - " ('HO', 'AqOff', 4): 210.3566402501315,\n", - " ('HO', 'DAC', 0): 0.0,\n", - " ('HO', 'DAC', 1): 0.0,\n", - " ('HO', 'DAC', 2): 0.0,\n", - " ('HO', 'DAC', 3): 0.0,\n", - " ('HO', 'DAC', 4): 0.0,\n", - " ('HO', 'H2_L_c', 0): 1493.0426734453945,\n", - " ('HO', 'H2_L_c', 1): 1452.4383373573016,\n", - " ('HO', 'H2_L_c', 2): 1491.8425326236988,\n", - " ('HO', 'H2_L_c', 3): 1505.6748479249047,\n", - " ('HO', 'H2_L_c', 4): 1335.4794173056869,\n", - " ('HO', 'H2_L_d', 0): 1000.0,\n", - " ('HO', 'H2_L_d', 1): 1000.0,\n", - " ('HO', 'H2_L_d', 2): 1000.0,\n", - " ('HO', 'H2_L_d', 3): 1000.0,\n", - " ('HO', 'H2_L_d', 4): 1000.0,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI', 1): 0.0,\n", - " ('HO', 'LiI', 2): 0.0,\n", - " ('HO', 'LiI', 3): 0.0,\n", - " ('HO', 'LiI', 4): 0.0,\n", - " ('HO', 'NGCC', 0): 651.4434185222887,\n", - " ('HO', 'NGCC', 1): 877.7355080942796,\n", - " ('HO', 'NGCC', 2): 667.3403504532416,\n", - " ('HO', 'NGCC', 3): 838.8878158239336,\n", - " ('HO', 'NGCC', 4): 745.5489642039041,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PEM', 1): 0.0,\n", - " ('HO', 'PEM', 2): 0.0,\n", - " ('HO', 'PEM', 3): 0.0,\n", - " ('HO', 'PEM', 4): 0.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PSH', 1): 0.0,\n", - " ('HO', 'PSH', 2): 0.0,\n", - " ('HO', 'PSH', 3): 0.0,\n", - " ('HO', 'PSH', 4): 0.0,\n", - " ('HO', 'PV', 0): 7645.347133326092,\n", - " ('HO', 'PV', 1): 7410.907908088612,\n", - " ('HO', 'PV', 2): 8607.617827984677,\n", - " ('HO', 'PV', 3): 7456.698262392971,\n", - " ('HO', 'PV', 4): 6872.412230491017,\n", - " ('HO', 'SMR', 0): 2493.0426734453945,\n", - " ('HO', 'SMR', 1): 2452.438337357302,\n", - " ('HO', 'SMR', 2): 2491.842532623699,\n", - " ('HO', 'SMR', 3): 2505.6748479249045,\n", - " ('HO', 'SMR', 4): 2335.479417305687,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'SMRH', 1): 0.0,\n", - " ('HO', 'SMRH', 2): 0.0,\n", - " ('HO', 'SMRH', 3): 0.0,\n", - " ('HO', 'SMRH', 4): 0.0,\n", - " ('HO', 'WF', 0): 6382.906213518697,\n", - " ('HO', 'WF', 1): 6260.86923308097,\n", - " ('HO', 'WF', 2): 7307.62448410026,\n", - " ('HO', 'WF', 3): 7031.812409955815,\n", - " ('HO', 'WF', 4): 8448.234538592715}" - ] - }, - "execution_count": 127, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.capacity_utilization(results= results_cost, location='HO', process='PV')" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{AqOff, DAC, H2_L_c, H2_L_d, LiI, NGCC, PEM, PSH, PV, SMR, SMRH, WF}" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.process_set" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/multiperiod-examples/sl-sp.ipynb b/examples/multiperiod-examples/sl-sp.ipynb deleted file mode 100644 index 6b2881bd..00000000 --- a/examples/multiperiod-examples/sl-sp.ipynb +++ /dev/null @@ -1,1764 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Multi-scale energy systems MILP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - Lithium-ion batteries (LiI), Solar Photovoltaics (PV), Wind Farms (WF), Steam Methane Reforming + CCUS SMRH, SMR, Hydrogen Fuel Cells (H2FC), Direct Air Capture (DAC), Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "CH4, CO2, CO2_DAC, CO2_Vent, H2, H2O, Power, Solar, Wind\n", - "\n", - "LiI_Power_stored is generated implicitly as Power stored in LiI " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{out}_{b, l, l', r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Trans^{in}_{b, l', l, r,t}$ - amount of r $\\in$ $\\mathcal{R}$ through mode b $\\in$ $\\mathcal{B}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{L}^{source}$ - set of source locations \n", - "\n", - "$\\mathcal{L}^{sink}$ - set of sink locations \n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1} = Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "import numpy\n", - "from pyomo.environ import Constraint\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.result import Result" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston; CAISO for San Diego\n", - "- Natural Gas prices: Henry Hub Price Index for both\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "def load_data(loc: str, index: list):\n", - " df = pandas.read_csv(f'../data/{loc}_solar19.csv')\n", - " df['idx'] = index\n", - " df = df.set_index('idx')\n", - " return df\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "idx = [(i, j, k) for i, j, k in product(range(1), range(365), range(24))]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "weather_df = load_data('ho', idx)[['dni', 'wind_speed']] # weather data\n", - "demand_df = pandas.read_excel(\n", - " '../data/Native_Load_2019.xlsx')[['COAST']] # demand data\n", - "ng_price_df = make_henry_price_df(\n", - " file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2019, stretch=True)\n", - "ng_price_df = ng_price_df.drop(columns='scales')\n", - "ng_price_df = remove_outliers(ng_price_df, sd_cuttoff=2) # natural gas price\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). " - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=bigM, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=bigM, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated',\n", - " varying=VaryingResource.DETERMINISTIC_PRICE)\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=bigM,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True)\n", - "\n", - "H2_L = Resource(name='H2_L', basis='tons', label='Hydrogen',\n", - " block='Resource', store_max=10000)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', store_max=10000)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=bigM,\n", - " price=0.001, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=bigM, price=1, basis='tons',\n", - " label='Natural gas', varying=VaryingResource.DETERMINISTIC_PRICE)\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "LiI = Process(name='LiI', storage=Power, capex=3516428, fopex=87910, vopex=0,\n", - " store_max=10000, prod_max=bigM, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953,\n", - " prod_max=bigM, label='Wind mill array', varying=VaryingProcess.DETERMINISTIC_CAPACITY, basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0,\n", - " prod_max=bigM, varying=VaryingProcess.DETERMINISTIC_CAPACITY, label='Solar PV', basis='MW')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, label='Steam methane reforming + CCUS')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, label='NGCC + 95% CC')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, label='Steam methane reforming')\n", - "\n", - "H2FC = Process(name='H2FC', conversion={H2: -0.050, Power: 1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, label='hydrogen fuel cell')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, label='Direct air capture')\n", - "\n", - "PSH = Process(name='PSH', storage=Power, capex=3924781, fopex=17820, vopex=512.5,\n", - " store_max=10000, prod_max=bigM, label='Pumped storage hydropower', basis='MW')\n", - "\n", - "H2_L_c = Process(name='H2_L_c', conversion={Power: -0.417, H2_L: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=bigM, label='Hydrogen geological storage')\n", - "\n", - "H2_L_d = Process(name='H2_L_d', conversion={H2_L: -1, H2: 1}, capex=0.01, vopex=0.001,\n", - " fopex=0, prod_max=bigM, label='Hydrogen geological storage discharge')\n", - "\n", - "DAC = Process(name='DAC', conversion={Power: -0.193, H2O: -4.048, CO2_DAC: 1},\n", - " capex=730, fopex=114, vopex=3.6, prod_max=bigM, label='Direct air capture')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, label='Small modular reactors (SMRs)')\n", - "\n", - "AWE = Process(name='AWE', conversion={Power: -1, H2: 0.019, O2: 0.7632, H2O: -0.1753}, capex=1.1*10**6, fopex=16918,\n", - " vopex=0, prod_max=bigM, label='Alkaline water electrolysis (AWE)', citation='Demirhan et al. 2018 AIChE paper')\n", - "\n", - "AQoff_SMR = Process(name='AQoff_SMR', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, label='Offshore aquifer CO2 sequestration (SMR)')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "process_list = {LiI, WF, PV, SMRH, SMR, DAC, AWE,\n", - " H2_L_c, H2_L_d, AQoff_SMR, ASMR, PSH, NGCC}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes convert a resource into another through the utilization of resources. \n", - "Essentially, the model is developed as an RTN" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes=process_list, capacity_factor={PV: weather_df[['dni']], WF: weather_df[['wind_speed']]}, demand_factor={Power: demand_df}, price_factor={\n", - " CH4: ng_price_df}, scales=scales, label='Houston', expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='sl-sp', network=houston, scales=scales, purchase_scale_level=2, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, label='single_lc_pd', demand={houston: {H2: 1000, Power:1000}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
CO2_VentCO2_DACPowerCO2CO2_AQoffH2LiI_Power_storedPSH_Power_storedSolarUraniumO2CH4WindH2OH2_L
WF0.000000.01.0000.000000.00.0000.00.00.00.0000000.00000.000-1.00.00000.0
AWE0.000000.0-1.0000.000000.00.0190.00.00.00.0000000.76320.0000.0-0.17530.0
AQoff_SMR0.000000.0-1.280-1.000001.00.0000.00.00.00.0000000.00000.0000.00.00000.0
SMRH1.030000.0-1.1109.332000.01.0000.00.00.00.0000000.0000-3.7600.0-23.70000.0
SMR9.497900.0-1.1100.000000.01.0000.00.00.00.0000000.0000-3.7600.0-23.70000.0
NGCC0.014850.01.0000.282150.00.0000.00.00.00.0000000.0000-0.1080.00.00000.0
LiI_discharge0.000000.01.0000.000000.00.000-1.00.00.00.0000000.00000.0000.00.00000.0
PSH0.000000.0-1.0000.000000.00.0000.01.00.00.0000000.00000.0000.00.00000.0
H2_L_d0.000000.00.0000.000000.01.0000.00.00.00.0000000.00000.0000.00.0000-1.0
PV0.000000.01.0000.000000.00.0000.00.0-1.00.0000000.00000.0000.00.00000.0
H2_L_c0.000000.0-0.4170.000000.0-1.0000.00.00.00.0000000.00000.0000.00.00001.0
LiI0.000000.0-1.0000.000000.00.0001.00.00.00.0000000.00000.0000.00.00000.0
DAC0.000001.0-0.1930.000000.00.0000.00.00.00.0000000.00000.0000.0-4.04800.0
PSH_discharge0.000000.01.0000.000000.00.0000.0-1.00.00.0000000.00000.0000.00.00000.0
ASMR0.000000.01.0000.000000.00.0000.00.00.0-0.0000420.00000.0000.0-3.36400.0
\n", - "
" - ], - "text/plain": [ - " CO2_Vent CO2_DAC Power CO2 CO2_AQoff H2 \\\n", - "WF 0.00000 0.0 1.000 0.00000 0.0 0.000 \n", - "AWE 0.00000 0.0 -1.000 0.00000 0.0 0.019 \n", - "AQoff_SMR 0.00000 0.0 -1.280 -1.00000 1.0 0.000 \n", - "SMRH 1.03000 0.0 -1.110 9.33200 0.0 1.000 \n", - "SMR 9.49790 0.0 -1.110 0.00000 0.0 1.000 \n", - "NGCC 0.01485 0.0 1.000 0.28215 0.0 0.000 \n", - "LiI_discharge 0.00000 0.0 1.000 0.00000 0.0 0.000 \n", - "PSH 0.00000 0.0 -1.000 0.00000 0.0 0.000 \n", - "H2_L_d 0.00000 0.0 0.000 0.00000 0.0 1.000 \n", - "PV 0.00000 0.0 1.000 0.00000 0.0 0.000 \n", - "H2_L_c 0.00000 0.0 -0.417 0.00000 0.0 -1.000 \n", - "LiI 0.00000 0.0 -1.000 0.00000 0.0 0.000 \n", - "DAC 0.00000 1.0 -0.193 0.00000 0.0 0.000 \n", - "PSH_discharge 0.00000 0.0 1.000 0.00000 0.0 0.000 \n", - "ASMR 0.00000 0.0 1.000 0.00000 0.0 0.000 \n", - "\n", - " LiI_Power_stored PSH_Power_stored Solar Uranium O2 \\\n", - "WF 0.0 0.0 0.0 0.000000 0.0000 \n", - "AWE 0.0 0.0 0.0 0.000000 0.7632 \n", - "AQoff_SMR 0.0 0.0 0.0 0.000000 0.0000 \n", - "SMRH 0.0 0.0 0.0 0.000000 0.0000 \n", - "SMR 0.0 0.0 0.0 0.000000 0.0000 \n", - "NGCC 0.0 0.0 0.0 0.000000 0.0000 \n", - "LiI_discharge -1.0 0.0 0.0 0.000000 0.0000 \n", - "PSH 0.0 1.0 0.0 0.000000 0.0000 \n", - "H2_L_d 0.0 0.0 0.0 0.000000 0.0000 \n", - "PV 0.0 0.0 -1.0 0.000000 0.0000 \n", - "H2_L_c 0.0 0.0 0.0 0.000000 0.0000 \n", - "LiI 1.0 0.0 0.0 0.000000 0.0000 \n", - "DAC 0.0 0.0 0.0 0.000000 0.0000 \n", - "PSH_discharge 0.0 -1.0 0.0 0.000000 0.0000 \n", - "ASMR 0.0 0.0 0.0 -0.000042 0.0000 \n", - "\n", - " CH4 Wind H2O H2_L \n", - "WF 0.000 -1.0 0.0000 0.0 \n", - "AWE 0.000 0.0 -0.1753 0.0 \n", - "AQoff_SMR 0.000 0.0 0.0000 0.0 \n", - "SMRH -3.760 0.0 -23.7000 0.0 \n", - "SMR -3.760 0.0 -23.7000 0.0 \n", - "NGCC -0.108 0.0 0.0000 0.0 \n", - "LiI_discharge 0.000 0.0 0.0000 0.0 \n", - "PSH 0.000 0.0 0.0000 0.0 \n", - "H2_L_d 0.000 0.0 0.0000 -1.0 \n", - "PV 0.000 0.0 0.0000 0.0 \n", - "H2_L_c 0.000 0.0 0.0000 1.0 \n", - "LiI 0.000 0.0 0.0000 0.0 \n", - "DAC 0.000 0.0 -4.0480 0.0 \n", - "PSH_discharge 0.000 0.0 0.0000 0.0 \n", - "ASMR 0.000 0.0 -3.3640 0.0 " - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.make_conversion_df()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='blue')\n", - "plot_scenario.demand_factor(\n", - " scenario=scenario, location=houston, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for demand**" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n" - ] - } - ], - "source": [ - "\n", - "\n", - "milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, objective=Objective.DEMAND, write_lpfile=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 517021 rows, 411940 columns and 1485167 nonzeros\n", - "Model fingerprint: 0xb448cc30\n", - "Variable types: 411921 continuous, 19 integer (19 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+04, 1e+06]\n", - "Found heuristic solution: objective -0.0000000\n", - "Presolve removed 473450 rows and 316142 columns\n", - "Presolve time: 1.46s\n", - "Presolved: 43571 rows, 95798 columns, 226386 nonzeros\n", - "Found heuristic solution: objective 2958860.7595\n", - "Variable types: 95798 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "Warning: Markowitz tolerance tightened to 0.5\n", - "Concurrent spin time: 0.01s\n", - "\n", - "Solved with primal simplex\n", - "\n", - "Root relaxation: objective 4.129459e+08, 53431 iterations, 1.05 seconds (0.58 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 4.129459e+08 4.1295e+08 0.00% - 2s\n", - "\n", - "Explored 1 nodes (53431 simplex iterations) in 3.01 seconds (2.15 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 4.12946e+08 -0 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (5.5313e-05) exceeds tolerance\n", - "Best objective 4.129459385293e+08, best bound 4.129459385293e+08, gap 0.0000%\n", - "WARNING: Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "\n", - "results_demand = solve(scenario=scenario, instance=milp_demand, solver='gurobi',\n", - " name=f\"results_demand\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Minimize cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "cost objective\n" - ] - } - ], - "source": [ - "\n", - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.NETWORK}, objective=Objective.COST, write_lpfile=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 525781 rows, 411940 columns and 1493927 nonzeros\n", - "Model fingerprint: 0x4faec94b\n", - "Variable types: 411921 continuous, 19 integer (19 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [4e+02, 1e+06]\n", - "Presolve removed 363562 rows and 267232 columns\n", - "Presolve time: 1.54s\n", - "Presolved: 162219 rows, 144708 columns, 521558 nonzeros\n", - "Variable types: 144708 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.09s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 12\n", - " AA' NZ : 4.643e+05\n", - " Factor NZ : 3.080e+06 (roughly 150 MB of memory)\n", - " Factor Ops : 6.153e+07 (less than 1 second per iteration)\n", - " Threads : 2\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 5.87257480e+13 -2.29406445e+16 5.08e+07 4.53e+04 1.85e+11 3s\n", - " 1 4.72221925e+13 -9.49066559e+15 2.78e+07 5.30e+05 6.65e+10 4s\n", - " 2 4.39393305e+13 -4.97666027e+15 2.51e+07 1.30e+05 3.92e+10 4s\n", - " 3 3.47624886e+13 -1.66071055e+15 1.27e+07 1.93e+03 1.45e+10 4s\n", - " 4 2.30784166e+13 -4.51001912e+14 7.32e+05 5.13e+01 1.61e+09 4s\n", - " 5 1.99800137e+13 -1.63891867e+14 3.84e+05 2.18e-04 6.35e+08 4s\n", - " 6 1.18944184e+13 -1.29448131e+14 7.50e+04 1.66e-04 3.79e+08 5s\n", - " 7 6.66941550e+12 -2.19950254e+13 9.62e+03 2.32e-05 7.30e+07 5s\n", - " 8 1.65428541e+12 -4.04672405e+12 8.25e+02 5.79e-06 1.42e+07 5s\n", - " 9 8.04363386e+11 -5.88821714e+11 2.59e+02 1.33e-06 3.48e+06 5s\n", - " 10 2.84299238e+11 -2.20267653e+11 7.12e+01 4.54e-07 1.25e+06 5s\n", - " 11 9.22154008e+10 -1.50536488e+11 2.15e+01 7.10e-07 5.99e+05 6s\n", - " 12 3.61927490e+10 -4.46670299e+10 6.68e+00 2.12e-06 1.99e+05 6s\n", - " 13 1.78494001e+10 -1.44256537e+10 2.70e+00 1.66e-06 7.93e+04 6s\n", - " 14 9.99745995e+09 -4.01742159e+08 8.94e-01 5.55e-07 2.55e+04 6s\n", - " 15 8.13853775e+09 3.08505870e+09 4.33e-01 5.72e-07 1.24e+04 6s\n", - " 16 7.47681696e+09 4.66679792e+09 2.82e-01 8.23e-07 6.90e+03 7s\n", - " 17 7.18123134e+09 5.05910025e+09 2.07e-01 1.22e-06 5.21e+03 7s\n", - " 18 6.96889340e+09 5.52830156e+09 1.53e-01 1.39e-06 3.54e+03 7s\n", - " 19 6.82629158e+09 5.87322861e+09 1.17e-01 7.12e-07 2.34e+03 7s\n", - " 20 6.73358306e+09 6.04629853e+09 9.37e-02 5.21e-07 1.69e+03 7s\n", - " 21 6.66535320e+09 6.17188147e+09 7.59e-02 5.23e-07 1.21e+03 8s\n", - " 22 6.60383420e+09 6.25685437e+09 5.91e-02 7.09e-07 8.52e+02 8s\n", - " 23 6.55076558e+09 6.30868737e+09 4.42e-02 1.05e-06 5.94e+02 8s\n", - " 24 6.50410549e+09 6.33547233e+09 3.05e-02 1.44e-06 4.14e+02 8s\n", - " 25 6.47225445e+09 6.35744305e+09 2.08e-02 1.35e-06 2.82e+02 9s\n", - " 26 6.44541952e+09 6.37379320e+09 1.29e-02 1.29e-06 1.76e+02 9s\n", - " 27 6.42600328e+09 6.38600876e+09 7.13e-03 1.65e-06 9.82e+01 9s\n", - " 28 6.41969968e+09 6.39548941e+09 5.15e-03 1.79e-06 5.94e+01 9s\n", - " 29 6.41708843e+09 6.39708192e+09 4.30e-03 1.66e-06 4.91e+01 9s\n", - " 30 6.41307609e+09 6.39855963e+09 3.06e-03 1.61e-06 3.56e+01 9s\n", - " 31 6.40827196e+09 6.40097927e+09 1.55e-03 1.30e-06 1.79e+01 10s\n", - " 32 6.40501789e+09 6.40211229e+09 5.34e-04 8.64e-07 7.13e+00 10s\n", - " 33 6.40407967e+09 6.40253486e+09 2.51e-04 6.67e-07 3.79e+00 10s\n", - " 34 6.40368329e+09 6.40274020e+09 1.34e-04 3.01e-07 2.31e+00 10s\n", - " 35 6.40344212e+09 6.40293878e+09 6.56e-05 3.51e-07 1.24e+00 10s\n", - " 36 6.40341081e+09 6.40304445e+09 5.70e-05 6.43e-08 8.99e-01 11s\n", - " 37 6.40331785e+09 6.40312719e+09 3.12e-05 1.77e-07 4.68e-01 11s\n", - " 38 6.40330613e+09 6.40313029e+09 2.80e-05 1.07e-07 4.32e-01 11s\n", - " 39 6.40327301e+09 6.40316538e+09 1.90e-05 2.88e-07 2.64e-01 11s\n", - " 40 6.40324947e+09 6.40317557e+09 1.28e-05 2.25e-07 1.81e-01 11s\n", - " 41 6.40322890e+09 6.40318708e+09 7.39e-06 2.45e-07 1.03e-01 12s\n", - " 42 6.40322174e+09 6.40319356e+09 5.59e-06 1.00e-07 6.92e-02 12s\n", - " 43 6.40321435e+09 6.40319572e+09 3.68e-06 1.13e-07 4.57e-02 12s\n", - " 44 6.40320816e+09 6.40319743e+09 2.11e-06 8.69e-09 2.64e-02 12s\n", - " 45 6.40320473e+09 6.40319813e+09 1.18e-06 4.59e-08 1.62e-02 13s\n", - " 46 6.40320230e+09 6.40319919e+09 5.47e-07 7.57e-08 7.65e-03 13s\n", - " 47 6.40320094e+09 6.40319973e+09 1.95e-07 1.23e-07 2.97e-03 13s\n", - " 48 6.40320046e+09 6.40319990e+09 7.84e-08 1.90e-07 1.36e-03 13s\n", - " 49 6.40320027e+09 6.40319998e+09 3.35e-08 1.38e-07 7.03e-04 14s\n", - " 50 6.40320026e+09 6.40319999e+09 3.17e-08 4.94e-08 6.55e-04 14s\n", - " 51 6.40320025e+09 6.40320007e+09 2.85e-08 1.20e-07 4.27e-04 14s\n", - " 52 6.40320013e+09 6.40320011e+09 3.48e-09 1.13e-07 5.27e-05 14s\n", - " 53 6.40320012e+09 6.40320012e+09 4.32e-10 2.23e-07 1.60e-06 15s\n", - " 54 6.40320012e+09 6.40320012e+09 3.94e-11 1.20e-06 1.60e-09 15s\n", - "\n", - "Barrier solved model in 54 iterations and 14.78 seconds (7.47 work units)\n", - "Optimal objective 6.40320012e+09\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 57746 DPushes remaining with DInf 0.0000000e+00 15s\n", - " 8044 DPushes remaining with DInf 0.0000000e+00 15s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 15s\n", - "\n", - " 5584 PPushes remaining with PInf 0.0000000e+00 15s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 16s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 9.4597224e-06 16s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 27508 6.4032001e+09 0.000000e+00 0.000000e+00 16s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with barrier\n", - " 27508 6.4032001e+09 0.000000e+00 0.000000e+00 16s\n", - "\n", - "Root relaxation: objective 6.403200e+09, 27508 iterations, 13.72 seconds (6.46 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 6.403200e+09 6.4032e+09 0.00% - 15s\n", - "\n", - "Explored 1 nodes (27508 simplex iterations) in 15.94 seconds (8.80 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.4032e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (1.3709e-06) exceeds tolerance\n", - "Best objective 6.403200122236e+09, best bound 6.403200122236e+09, gap 0.0000%\n" - ] - } - ], - "source": [ - "\n", - "results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp\", print_solversteps=True, saveformat='.pkl')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Levelized cost of Hydrogen**" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "# 1/(1000*results_cost.divide_by_objective('S_network', index = ('H2', 0)))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('H2', 0): 5091328.816323048,\n", - " ('CO2_Vent', 0): 48356931.96455467,\n", - " ('O2', 0): 0.0}" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_network']\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Load results**" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "# results_cost = load_results(filename= 'results_cost.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.CAPEX, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.VOPEX, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.FOPEX, location= 'HO', fig_size= (8,6))\n", - "# plot_results.cost(results= results_cost, x = CostX.PROCESS_WISE, y = CostY.TOTAL, location= 'HO', fig_size= (8,6), color = 'red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.schedule(results= results_cost, y_axis= 'P', component= 'ASMR', location = 'HO', fig_size= (9,5), color = 'steelblue')\n", - "# plot_results.schedule(results= results_cost, y_axis= 'P', component= 'PV', location = 'HO', fig_size= (9,5), color = 'orange')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "48356931.964554675" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "48356931.964554675\n" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.purchase_scale_level\n" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "def co2_reduction(initial, red_pct):\n", - " milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.TRANSPORT, Constraints.MODE},\n", - " objective=Objective.COST, write_lpfile=True)\n", - " milp_cost.co2_bound = Constraint(\n", - " expr=milp_cost.S_network['CO2_Vent', 0] <= initial*(1 - red_pct/100))\n", - " results_cost = solve(scenario=scenario, instance=milp_cost, solver='gurobi',\n", - " name=f\"results_slsp\", print_solversteps=True, saveformat='.pkl')\n", - " return results_cost\n" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'results_dict' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[48], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m results_dict[\u001b[39m0\u001b[39m]\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mS_network\u001b[39m\u001b[39m'\u001b[39m]\n", - "\u001b[1;31mNameError\u001b[0m: name 'results_dict' is not defined" - ] - } - ], - "source": [ - "results_dict[0].output['S_network']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict = {i: co2_reduction(48356931, 10*i) for i in range(5)}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "lcoh = [1/(1000*results_dict[i].divide_by_objective('S_network',\n", - " index=('H2', 0))) for i in range(5)]\n", - "co2_red = [10*i for i in range(5)]\n", - "co2 = [results_dict[i].output['S_network']['CO2_Vent', 0] for i in range(5)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "lcoh\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "rc('font', **{'family': 'serif', 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(6, 5))\n", - "ax.plot(co2_red, lcoh, alpha=0.9)\n", - "# ax.bar(co2_red, smr_p, label = 'SMR', alpha = 0.3, width = 3)\n", - "plt.xlabel('CO2 reduction (%)')\n", - "plt.ylabel('LCOH')\n", - "plt.title('Cost v/s emission trade-offs')\n", - "# ax.plot(list(range(7)), smrh_p, label = 'SMR + CC')\n", - "# plt.legend()\n", - "plt.grid()\n", - "plt.rcdefaults()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "co2\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_dict[0].output['S_network']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(6, 3))\n", - "ax.plot(co2, lcoh)\n", - "ax.set_ylim(0, 18)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "awe = [results_dict[i].output['Cap_P']['HO', 'AWE', 0] for i in range(5)]\n", - "smr = [results_dict[i].output['Cap_P']['HO', 'SMR', 0] for i in range(5)]\n", - "smrh = [results_dict[i].output['Cap_P']['HO', 'SMRH', 0] for i in range(5)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(6, 4))\n", - "ax.plot(list(range(5)), awe, label='AWE')\n", - "ax.plot(list(range(5)), smr, label='SMR')\n", - "ax.plot(list(range(5)), smrh, label='SMR + CC')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "awe_p = [i/max(awe) for i in awe]\n", - "smr_p = [i/max(smr) for i in smr]\n", - "smrh_p = [i/max(smrh) for i in smrh]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "rc('font', **{'family': 'serif', 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(6, 5))\n", - "ax.bar(co2_red, awe_p, label='AWE', alpha=0.9)\n", - "ax.bar(co2_red, smr_p, label='SMR', alpha=0.3)\n", - "# ax.plot(co2_red, smrh_p, label = 'SMRH', alpha = 0.3)\n", - "plt.xticks(co2_red)\n", - "plt.xlabel('CO2 reduction (%)')\n", - "plt.ylabel('Normalized capacity change')\n", - "plt.title('Realized capacity with carbon bounds')\n", - "# ax.plot(list(range(7)), smrh_p, label = 'SMR + CC')\n", - "plt.legend()\n", - "plt.grid()\n", - "plt.rcdefaults()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0wAAAHtCAYAAAAqQv7VAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACsXklEQVR4nOzdeVhUZfsH8O8sMOz7IioKooAbmISZ5pJb4pbLq2Vpmm2Wtqn1lqVmr2bllqX2pqiVZlnumpp77kaaoiIuKLgBgrILA8w8vz/8zbyMzLAIw4GZ7+e6vC485zzn3OfMM2fOfZb7yIQQAkRERERERFSKXOoAiIiIiIiIaismTERERERERCYwYSIiIiIiIjKBCRMREREREZEJTJiIiIiIiIhMYMJERERERERkAhMmIiIiIiIiE5gwERERERERmcCEiYiIiKyWEALXr1+XOgyrcO3aNalDIHooTJhquYKCAkRHR6NPnz5o0KAB7OzsYGdnh/r166NTp04YN24cfvjhh2rf2Y8ePRoymczgX22ze/fuUjF+//331b6c2rgtfvvtNzz55JNwd3eHSqWCv78/evfujaVLl0odmlEBAQGltuGD/2xsbFC/fn0MHDgQW7ZskTpkojotOjq61Hds//79BtMkJiaW+72UyWSwt7dH06ZN8dJLL+H06dPlLvvIkSN4+eWX0aJFC7i4uECpVMLd3R3h4eF45plnMGfOHBw/fhwajaZU265du5qMIyAgoNT05a3DJ598UmasFy5cwGOPPYbly5eXu15kWkV/j6dNm4bevXsjJSWlWpb78ccfw9nZGVOnTq2W+T2Mmu6zJA2ZEEJIHQQZd+nSJfTv3x8XLlxAw4YN8eyzzyIgIAAqlQo3b97Ezp07ceTIEf30K1euxIgRI6pl2UePHkVCQgIOHjyIJUuWALh/Fq42SUlJwe7duwEAI0eOBACsWLECo0ePrtbl1LZtMWPGDEyZMgXOzs4YP348mjRpgvPnz2PRokWoV68eEhMTJYvNlI0bNyI3N9dgG06ePBnNmzcHcH973r59G5s2bcLBgwcBAEOHDsWqVatga2srWdxEDyMxMVF/sPjOO+/Azc2txmNISEjA0aNHkZ6ejnfffRcAsG/fPnTt2lU/TV5eHjZs2AAAWLJkif67t3LlSv00Go0GiYmJWLlyJRISEqBQKPD5559j0qRJpZap0Wjw+uuvY+nSpbCxscGwYcPQunVr+Pj4IDMzE3///Tc2bNiA/Px8AED37t31+3CdXbt2ITU1FefPn8dnn30GAHj11VfRqVMnODk5YeDAgQbTl7cOYWFhCAsLM7qNDh06hP79+6NJkybYtm0bfH19y9+wFaA74B04cCDatGlTLfOs7Sr6e3zx4kX07t0bRUVF2LVrF0JDQ6u0XCcnJ+Tl5cHJyQk5OTlVmtfDqsk+W9dkZmbiq6++AnD/5LOxBLLOEFQr5eXliYCAAAFAvPLKK0KtVhud7ocffhByuVwAEEuXLq32OFasWCEAiNreVXQxrlixwmzLqA3bIi0tTdja2goAYtOmTQbjPvjgA9G4cWNpAqugkttw3759RqeZPHmyfpo33nijZgMkqgb79u3T9+GrV69KGsvVq1fL/c4JIcSoUaPK3L/l5+eLbt266af59ddfS03z/vvvCwAiICBAJCQkmIynadOmAoDo2LGjyXhKbsOK7tfLW4eSLl26JDw8PETDhg1FampqheZfUTXxe1Sblbf+8fHxwtnZWQQFBYn09PQqLevDDz8Ujo6O4oMPPqjSfKqDuftsXVTR/U9dwFvyaqkffvgBiYmJcHFxwYIFC0yeZX/hhRf0Z3PI8h07dgyFhYUAYHCmGAA++OAD7NmzR4Koqtenn36Kpk2bAgC+++47JCQkSBwREdnZ2SE6Ohpy+f3Dhn//+98GV9qzsrL0Z5JnzJiBJk2aGJ1PQEBArbh1+KWXXsLdu3fx1VdfwcfHR+pwrEpISAimTp2KhIQETJw4sUrz+uyzz5Cbm4tZs2ZVU3RExjFhqqX+/PNPAECLFi1gb29f5rTPPfdcTYREtcDdu3f1f7u4uBiMc3V1RVBQUE2HVO0UCgWefvppAPdv8dm6davEERERAAQGBuKRRx4BAFy9ehWxsbH6cUePHtWfzHn00UfLnE/Xrl1Rv3598wVajo0bN+LAgQNo1qwZBg8eLFkc1uz111+Hi4sLfvzxR5w6dUrqcIjKxYSplrpz5w4AIC0trdxpH3vsMcyePRuPPfaYucMiiWm1WqlDqBElEz9eYSKqPUx9N3W/WUDFfrfmzZuH8ePHV29wFbRw4UIAwDPPPFMrivhYI0dHRwwYMABCCCxevFjqcIjKxYSplnJ3dwcAXLlyBX/99VeZ07q6umLSpElo3bq1yWmEEFi9ejV69+4NX19f2NjYwMPDA48//jj+/e9/IyYmpkJxnTx5EoMHD4aPjw/s7OzQsmVLzJkzp0IH8vv27cPQoUNRv3592NrawsvLC126dME333wDtVpdZtvbt2/jzTffREBAAOzs7NCgQQMMHz683IpN7du3N6g+8+BtbCkpKdVeaS87OxuffvopHnnkEbi4uMDBwaFSFaaM0VXqe/HFF/XDyqvEU1RUhEWLFqFLly7w8vLSV9N77rnncPjw4TKX82BFwLi4OLzwwgvw9/eHUqnUjzNXgQmFQmGwHg/aunUrBg0aBD8/P6hUKvj4+OCpp57CTz/9ZLQgh6lqRA9WDZs5cyZkMhk+/fTTCs3jQVqtFsuXL0e3bt3021xX+W/Tpk1G1/XBCoK6Prpt2zY89dRT8PHxgVwuN/k5l6fkd0elUsHX1xf9+/fX37754Do9+ICyzvr169G3b1/4+vrC1tYWvr6+6N27N3788ccKVTvTxb5371706tULHh4ecHBwQEREBFasWFGhdamuGI4ePYrBgwejfv36UCgUpT5P3ZXNl156CS1atICjoyPs7OwQEBCA559/3uQ++fvvv4dMJsOTTz6pHxYYGGgQg6miNJVdt5ISEhIwevRofSXVRo0a4ZVXXsHVq1fL2aKVZ+q7qfvNAoBffvml3Pk888wzePbZZ6s3uApIS0vD3r17AcDgczLm5s2beOedd9C8eXM4ODjAzs4OTZs2xfPPP49ffvkFBQUF+mlLVj7TefHFF8vdTwPA2bNn8fLLL6NJkyawt7eHu7s72rVrh88//xx5eXmlpjdWZe2TTz6BVqvFwoULERkZCVdX1zL7nBS/xw/S7et+++23cvv4gypSvfbB8brtsGTJEkRERMDJyQlubm7o1auXQQGt2io9PR0fffQRwsPD4eLiAkdHR4SGhuLtt99GUlJSqenj4+PLPb75/PPPy92OOhcuXMArr7yCoKAg2NnZwcHBAS1atMDLL7+MLVu2oLi4WD/t/v37IZPJEBgYqB/25JNPlnk8pnP48GE899xz8Pf3h0ql0vfNxYsXGz0e0C3rwfXMzc3Fhx9+iKZNm8LOzg716tXDCy+88PBVpaV9hIpMmTt3rv5BuYYNG4odO3Y89LwyMzPFk08+KQAIf39/MXXqVLF06VIxdepU0axZM/1yXn/99VJtSz6kv2vXLuHv7y8+/vhjsWzZMjFp0iRhb28vAIjx48ebXL5GoxHjx48XAISHh4f44IMPxLJly8TMmTNF8+bNBQDRsmVLce3aNaPtz549K3x8fAQAERISIj7//HOxdOlS8cYbbwg3NzexY8cOkw9a7tixQ6xcuVJ06tRJABBdunQxGJ+fny9WrlwpVq5cWe7DmhUp+nDq1Cnh5+cnAIiePXuKb775RixZskSMHj1aKJVKIZPJxJw5c0y2N+XIkSNi5cqV4tVXX9XHoIt75cqVYsOGDQbTX79+XbRu3VoAEM2bNxezZs0SS5cuFW+99ZZwcHAQAMSECROEVqstdzn79u0TXl5eYvz48WLp0qXigw8+EHZ2dg/1QHtFij4IIcQnn3yin27GjBn64Wq1WjzzzDMCgPD09BT//ve/RXR0tJg2bZrw9/cXAMSTTz4pMjMzDea3cuVK8frrr+vnuWDBArFy5UqRkpJiMF1kZKQAICIiIkrFtHLlSvHNN98IAOK1114TK1euNBh/9+5d0bFjR4NtvmzZMvH+++8LDw8PAUAMHTpUFBQUGLTbsGFDqT765ZdfioYNG4qpU6eKJUuWiBEjRggAlS7qUdZ3x87OTr8+AMSrr74qVq5cKfbv328wj4KCAjF48GD9/uOTTz4Ry5YtE1OnTtVv8y5duoiMjAyDdjt37hQrV64UgwYN0sf+ww8/iMDAQDFjxgwRHR0tXn31VaFQKASAMr8X1RnD6tWrhbe3t3j//ffF0qVLxbhx4/Qx6LzzzjsCgJDL5eKZZ54RX3/9tZg/f7547rnnhFwuF3K5XCxYsKBUnAkJCWLlypUGhUvmz59v8F09cuRItaybzv79+4Wjo6MAICIjI8W8efPEd999J1544QXh6ekpNmzYUC1FH3S6du2qn+7QoUP64ampqfrtKJfLxZQpU0ReXl6Z8yqLuR6g/+WXX/TTlFXs4dSpU8Ld3V0oFArxzDPPiK+++kp8++234vXXX9f/7rVs2VI/fW5ubqnfEt13ytR+Woj7v/UKhUIolUoxZswYsWTJEjF37lzRrl07fZ84e/asQZuSy/Ly8hIAxJQpU0T//v1FRESEmDNnjli8eLHo0KGDACBGjRqlbyvl7/GDjh07pp/2r7/+KnPaBxn7rXqQbhuFhobqt8NLL70kHn/8cfH111+Lb7/9VvTq1UsAELa2tuLw4cOViuFB5iz6sG/fPuHu7m5wbPHtt9+Kf/3rXwKAsLOzE2vWrDFok5WVVe7xzdmzZ8vdjkLc35eqVCphZ2cnXnrpJfHNN9+IhQsXihdeeEH/ve/bt69++pSUFLFy5Uoxf/58/XwnT55s8H3YuXOnwTK0Wq149913BQDh4OAg3nrrLbF06VIxa9Ysfd9s3bq1uHHjhkE73bJKrufChQtFmzZtxLPPPiuWLFki5syZo5+Hv7+/yf1pWZgw1VLp6en6HaHuX5s2bcS8efNEUlJSheej0Wj0yVLr1q1LdRK1Wq3/sX766adLtS95gNuyZUtx5coVg/GrVq3S/0CaOnj++OOPBQBRv379UjvhgoIC0b17dwFAPProo6KoqMhgfF5enggMDBQARPv27cW9e/cMxh89elR/UFHWTkq3U3owYSqpqglTcnKy8Pb2FgDExx9/XGr8H3/8oa9oaOyHsyIqkrTl5eXpdww9evQodYB+6tQp4eTkJACITz75pNzlNG3aVMTExBiMnzFjhlkTps6dO+unO3r0qH647nP08/Mr1ZcyMjJEq1atBADRvXv3UsngtWvX9PNctWpVqWXeunVLyGQyAUDIZLJSO2UhhPj5558FAJGYmGgwXKPRiC5duuiX/eA2v3btmj6Rfvvtt42us27dfH19RYsWLcSdO3cMxvfo0aNSCVNFvju6A+2y+r0uWTO2/yi5zY3tP4QQYtq0aQKAcHFxEa1atSq1XtOnTxcAhJOTk8kD7OqMoUmTJqX2Yy+//LLBd2rcuHECQKmkWAghdu/erU+ajh8/bnR5lamSV5V1S05OFm5ubgKAGDx4sCguLjYYv379ev3BbXUkTDk5Ofo+4+LiUqp664svvmjwm+Xh4SHefPNNcfDgQaHRaMrcDg8quQ2/+eYbkZaWVu6/Z599ttx1eO+99/T9rSzt27cXgPFEPjY2Vtjb25v8Plb0oFm3P1QoFKVOimo0GvHCCy/o9wmmkrvGjRsLAKJBgwbimWeeMdjOOTk5ws3NzSBhqg2/xzrp6en6aRctWlTmtKZU5DdRt2/28/MTAwcONNhGWq1WX/3xySeffKgYdMzVZ+Pi4vQnOo0dW0RHR+uPw/bu3Wt0HlU5vikuLhYNGjQQAMTatWtLjdcd2xg7vqpMlTzdftrJyUmcOnXKYFxBQYHo0aOHACBatGhRqu89uJ5+fn5i3rx5BuPu3r0rPD09BQAxffr0MmMxOu9Kt6Aac+TIEf0B+IP/wsPDxbRp08SlS5fKnEfJL8HBgweNTnPz5k2hUCjKTZiMHVyr1Wr91YZvv/221PiLFy/qzz4sX77c6PLj4uL0y/jpp58Mxn3++ef6cabOQOnOlkmdMI0cOVIAEIGBgaUOXHSGDRsmgPtn5h48oK+Iivw46K7OKBQKk6V9dTsmU9OUXM7EiRNLjT99+rQYNWqUSEtLe+j4Te08f//9d/00JX/A9u/frx/+/fffG21b8gfrhx9+KDU+PDxcABDPPPNMqXHfffedsLW11Se1xvrzc889J1q3bl1q+LJly/Q/WJcvXzYa2+LFi/Xb3NjZ25IHrFu2bCk1fs2aNUY/C1Oq47uzZ88e/XhTP8Tbtm3TT2PsDK2ur5naByQmJurHb9++3ewxfPPNN0aXUfKgcty4caJ58+ZGlyXE/X4AQIwYMcLo+IomTFVdt7FjxwoAwsbGRty8edNo+379+lVbwqQrG27qgCM3N1c89dRTRn+zvLy8xOjRo8WOHTsqlDyV3IYP88+UgQMHCgCiSZMmJqfJzMzUz+fMmTNGp3n++eerlDBlZWUJFxcXAUCMHj3aZByurq4CgHjxxReNTqNLmFQqldH98fTp0/WvHKktv8c6Wq1WH8+7775b5rSmVCZhAmD09+7777/X77+r66podfZZ3VXdpk2bmjy20K1j06ZNjX6/qnJ8c/r0af24nJwco+07duxYpYTp8uXL+r5g6kTu5cuX9b/PphIe3bICAwONbofRo0cLAOKxxx4zGYspTJhqubS0NPHuu+8KZ2dno18wmUwmBg8ebPKq06OPPiqA+5cgy9KtWzcxcuTIUsNLfokevMqgo7uaMWHChFLjJk2apD9IzMrKMrn8Ro0aCQCiX79+RucdEBBgsm3JA2mpEqa7d+8KGxsbAUC89957JpexfPly/Tz+/vtvk9OZUt6Pg1arFb6+vgIo+x0nFy9e1M/n/fffL3M5D95CVBUl57tx40aDM21xcXHis88+059JCwoKMjgIHDp0qADu3zqRm5trchm6M2Ht2rUrNU53dtXNza3U2dO+ffuKqKgo/ZnlPn36GIwvKioS7u7uYvLkyaXmq/ueRUZGmozrypUr+nU3dtZa10cdHBxKxfYwquO7o7vdw8fHx2SCr1arhVKpFIDxW3NLJiumEmzdLU5ff/212WO4deuW0XmUdOfOHXH79m2T4+fNmycA07dIVjRhqsq6FRUV6Q+4u3btanIZuoPB8g5YSiZMJb+XKSkp4vjx4/qrcABE//79TR64abVa8eOPP4oWLVqYPDBs1qxZuVfZS27D9957T+zatavcf7rbq8o6+Czrtludu3fv6udj7MSJEPcP3kreklhSRRKGRYsW6afbtWuXyel0ybmtra3R24h0CVOvXr1MzkOntvwel6S7XXnYsGHlTmtMZRKmkrdQlnT8+HH9PGJjYx8qDiHM02fPnTunH//RRx+ZXPaSJUv0023btq3U+Koc35w8eVI/zthJLSGEOHPmjNFjmoomTLorvwDKvBCgu83U19fX6D5TN49x48YZbf/FF18I4P7V78pSgmo1Ly8vzJs3DzNnzsTWrVuxceNGbNu2DZmZmQAAIQTWr1+PP//8E/v27TMo/JCVlYWTJ08CANq2bVvmciry/p5mzZoZHa57i31WVlapcfv27QMA+Pv7o7CwEOnp6Ubn4ePjg2vXrhkUn7h79y7Onz8PAGW+Lb1ly5blxm5uhw8f1j+MGBgYaHI9nZyc9H/HxMQgIiKiWuM4d+4cUlNTAaDMeTdr1gwuLi7Izs7Wf0amNG/evFpj1DFVXMDV1RVvvfUWpk+fru9bwP/6UmhoKBwdHU3Ot23btrh58yZOnDiBnJwcODs768f1798fM2bMQGZmJg4ePKh/6PvevXvYs2cP5s2bh4yMDBw7dgx79+5FXl6eflmHDh1CRkYG+vfvb7C8kt+z4OBgk5+9SqXS/11WkZVmzZpBqazarrm6vju6ohihoaEGVdAe5OnpidTU1DLXy83NDV5eXibH5efnG92HVGcMrq6u8PPzMzlex8PDw+D/BQUFyMvL0xcUsbGxAXC/aExVVGXdzpw5g+zsbADVv3/09vY2Orxx48Z499138eabb+rfx/QgmUyGkSNHYuTIkYiJicH69euxadMmfX8EgEuXLmHQoEGYOXMmJk+eXG48LVq0QI8ePcqdbtWqVeVOoyuiYOrdhsD9AhbNmzfH+fPn8fbbb+PKlSt4/fXXDR5gDwoKqtJrHHSFJ4Cy99URERFYvXo1CgsLceTIEfTp08fodBXZT9fG32Pd52CsuEV1K+8YBjB+HPMwqqvPVqaf6Ozbtw9RUVEViLJiQkND4eHhgbt372LYsGH497//jZdffhm+vr76aVq1alWlZejW09XVVf8eRmMiIiJw5MgRpKam4vz582jRooXR6R7meLU8TJjqCHt7ewwdOhRDhw5FcXExdu7cie+++w5btmyBEAJ37tzBqFGj9AduwP1KOrrqddXxzouSB54l6XZ4JSuk6OjKziYmJpr8ES4pLS0NQgjIZDKDqi9lHeSUrM4klZLldd944w288cYb5bbRJTbmiqNBgwZlTlu/fn1kZ2eXW7b7wfc9VZc5c+YgPDxc/38bGxt4eXkhNDTUoBIXcH/npvtxL2+9dOM1Gg0SExMNTiJERkaiXr16SElJwZYtW/QJ086dO1FQUID+/fsjIyMDH330EQoKCrBz504MGjQIALBlyxb4+PigXbt2Bssr+T376aef8NNPP5W77mV99tWxvavju1Nymx84cKBC39+y1svU/gMwvQ+p7hgqs20PHjyIBQsW4MCBAybLZJdXTawsVV23khUqq3v/uGvXLoP/6yqhlUwYKiIyMhKRkZGYNWsW4uPj8cMPP+C7775DRkYGAGDKlCmIiorSv9upJugq2+mSXlOWLl2q3x/Mnj0bs2fPRmRkJAYNGoRhw4ZV+Z13uv2uriqeKSX3d2XtqyvSt2vj77Huc8jPz69Uu4dR3jEMYPw4RkoV/U2vaD95GPb29li6dCmef/555OTk4OOPP8bUqVPRqVMnDBo0SF9tsSp0MZc3nwfX01TCVN5nXdmqjAATpjpJqVSiT58+6NOnD/bv34++ffvi3r17+Oeff3DmzBn9AWJubq6+jZ2dXZWXa+qMYll0MTRt2hTffvtthdrodtAlzziVFf+DB9dSKLmtP/30Uzz++OPltnmYEtGViaO8z1w3XneW2pSH+dwrIiIiwmRZ0Qc9zHoBpddNJpOhb9++WLZsGbZs2YJ58+YBADZv3oxHHnkEDRs2RMOGDdG4cWMkJSVh8+bNBglTv379Sm2PkrENGTIEY8eOLXd9XF1dTY6rju1dHd+dkuvVsWNHfPLJJ+Uut6yz9lXZf9R0DJ9//jk+/PBDAEBUVBQGDhyIRo0a6a/87dy5E7Nnz67QvEyp6rqZc/9YkTPjlRUaGopZs2Zh0qRJGDRoEA4ePAitVotVq1bVaMKk21bGyhOX1LFjR8TGxmL+/Pn4/vvvcffuXcTExCAmJgaTJ09Gnz598PXXXz904qT7/KuyPyupIn27Nv4e6z4He3v7SrV7GOb6LTOniv72VbSfPKzBgwfj1KlTmDNnDn7++Wfk5eXhzz//xJ9//omJEyfi2Wefxbx58+Dj4/NQ85fi+1BZTJjquK5du+Ltt9/GrFmzANyvu69LmEpm2CXfF1GTnJ2dkZGRAYVCUekf4ZK3r5UV/8OcKXhQVV8IW3JbN2vWzCwHHJWNo7zPXDe+rIP32uJh1gswvm79+/fHsmXLcPnyZcTHxyM4OBhbt27F66+/rp+mX79+WLRoEX7//XdotVpcunQJly5dwpdffllmbF5eXpJ99iVVx3en5Ho5OTlJsl5SxHDq1Cn9bWLjx4/HN998U2qaGzduVHk5VV23mtw/VidPT09ER0cjJCQEwP3frJqku8W2sLCw3GkbNmyIuXPn4vPPP8fOnTvx888/Y/369cjPz8e2bdvw119/4ezZswa3JlWU7vOv6v6sssusbb/Hus+hrNusrVlFf/uq2k8qcgwUEhKCpUuXYsGCBdi6dSt+/vlnbN26FcXFxfjpp58QExOD06dPP9QJel3frMnvQ2XVvXTbSsyZMwf16tWr0E69ffv2+r9199gD95+l0WXZt27dqv4gK0B3L+qNGzeMvlC0LI0bN9a/RC05OdnkdLrbO8qiOzNs6nJ7Vc/IlLzn9tq1a1WaV3XFUd5nrhtf1VtLaoKLi4v+FpLy1uvmzZsA7p/pbNy4canxPXr00D9PtHXrVhw9ehRpaWkGzybp/k5LS8OxY8ewZcsWqFQq9OzZs9T8Sn7PpPzsS6qO707JbS7VekkRw9q1a/X7qrfeestsy6nqupW8Ql3V/WN1uH79OurVq4eVK1eWO21wcLD+1q3K/i5Ule6WnspsFxsbG/Tt2xerVq3CtWvX8PzzzwO4/yJR3VXqytLtq/Pz8/XPJBuj258BVd9X15bfYx0hhP5ZkvJutbZWFf1NL6+f6K78VccxkIODA4YNG4YNGzYgISFB/7t48eLFCr+E/EG69azo7ztQ88cuTJhqqdzcXKSmpuLKlSvlTlvyzIC/v7/+b2dnZzz66KMAgBMnTpQ5j9deew3Dhg2r9itRumdE8vLycPbsWZPTHTt2DEql0uCg1d3dXX9/6j///GOybVxcXLlx6O7vNvXDdPHixXLnUZYOHTrob5c5fvx4mdP26dMHSqWyzIfTH1bz5s1Rr149AGV/5pcvX9bvIMt7231toYszPj4e9+7dMzmd7jm+Rx991Oh9zI6OjujWrRuA+7fZbd68GfXr1zd4aLZr1676M6qbN2/G5s2b0a1bN6NnQUt+z2JiYso8U/fFF19AqVRizpw55a1ulVTXd0e3zS9evFjmgdCaNWugVCrx5ptvPkS0ZavpGG7fvq3/29RBXMnbZIzRHViWpyrr1qpVK/0Z1qruH6uDRqNBamoqzp07V6HpdQfsJX+zaoLuYfCSn/ODMjMz8fHHHxv9XfDy8sKKFSv0z1qU9btWlpL73bL21br9ma2tLTp06PBQy3pwmVL/HuvcvXtXf0WqrAf9rVll+8mDbXSqcgx09epVfPzxx0af5WzUqBF+++03/bNoD/aryu4Ls7KyynwGS7ee9erVQ2hoaIXmXV2YMNVya9asKXeaHTt2ALh/q0NkZKTBuHHjxgG4f0bp4MGDRtufPn0aS5Yswa1bt6rlWaeSXnvtNf2Zje+//97kdMuWLYNGo8Gzzz5rMHzUqFEA7j/EbirBWLduXblxBAcHAwCuXLli9AzL1q1by51HWdzc3PRnHXfs2GHywfOkpCTs3LkTQUFB+oPs6iSTyfS3lh09ehRXr141Ot3q1asB3D/r9Oqrr1Z7HOagK6ShVqtNfuYHDhzQn4HS9X1jdAcChw8fxpo1a9CvXz+DHbtKpUKvXr0AAL/88guOHDlSqjpeSbplpaen4/fffzc6TXFxMX744QfIZDIMHTrU5LyqS3V8d3TbXKPRlFnNKTo62uj3tzrUdAwlH2g3dRBR8uDEGAcHB/3fJZ+VmTNnDkJDQ3Hq1CkAVVs3pVKp3+ccOXLE5JnZiuwfq9O6devKvS3r2LFj+gO33r1710BU/6M7MZKbm2uymEdmZiZmzpxZqviFjq5ADWBYYU1H9/mX/OwPHDiA0NBQLFmyBADw/PPP6xNe3f74QdnZ2frfphEjRlT5FqTa8nusU/LA+MFjF7qvefPm+mRizZo1Jr9buj7UtGlT/W9XSbpjoAsXLpQap9VqsX37dpMxJCUlYebMmfjrr7+Mjnd1ddX3+Qe/D6b2hT///DNCQ0P1v5cl+6ap78PVq1dx7NgxAPf3nRVNxqpNpQuRU43QvTfEzs7OaE19ndWrV+vf0bFw4cJS4zUajf4t1mFhYaXevZCXl6d/L4Wx+vqVecdByRc/lqR7kaqtra3Ys2dPqfG//fabkMlkom3btmW+Wfzxxx8v9Xbnv/76Szg5OZX7joErV64ImUwmAIhffvnFYFxCQoJo2bJlld5TIIQQKSkp+ncg9e3bVxQUFBiMz87O1r9DYN26dUbnUZ6KfB737t3Tvy+jV69eQq1WG4yPjY3Vv9fL1MvfKrKcqsZf3lu/jdG9dK5Bgwbi+vXrBuOysrJEWFiYACC6d+9e5ouBr127ZvBeGGMvii0ZKwCjL5vVKfk9a9y4sbhx40ap8W+//bYAIN566y2j86jIu8IqoyLfHd37Vsrq97pt7ubmZvQlnnPnzhUAxIABA4y21+3LTL2zSIj/vUtm2rRpksWgc+rUKf2+ok+fPqX2SUeOHNHvc019P+7cuaOfx+7du/XDo6KiBACD94tVZd2Sk5OFm5ubACCGDBlS6t1ImzZt0r8frrzvXEVeXFuWku9befnll0VhYaHR6ZKSkvTvaGrXrp3Jl9iWfKdNRd7nU9F1uH37tv6zMfWyYN26NGnSxOi7j2JiYvR9wNj7pHQvyP7444/1w3Tvf1m9erV+mO4dWUqlUuzcudNgHhqNRrz44ov6d86kpqYajbW8786DasPvsY7uhd9ubm4m3+tVnuo4Rqnou4LKY64+GxcXp38/obHPWbcN5HK5yfh1n7uvr2+p48C5c+eK+vXrm4xDt17t27cvdVwjhBAbN24UwP33gp44ccJgnFar1e+joqOj9cNff/11ARi+51EXo7Ozszh9+rTBfNRqtf6dVS1atCjV93SqehxXFhZ9qKXq168PGxsbFBQUoE+fPujSpQt69OiB+vXrQwiB69evY+fOnTh69CgUCgWmTZtm9Iy6XC7H+vXrMXDgQOzfvx+tW7fGmDFj0KBBAyQlJeGHH37A9evX8emnnxqc6YuNjUVsbCyOHj2qH6Y7Azpo0CA4Ojpi165dSE1N1V9NuXLlClatWgUnJyeDd+xMnToV2dnZmDdvHnr16oXnnnsOHTt2xL1793DgwAFs3LgRzZo1w/r160u9f8bBwUFf/vno0aNo27YtXnzxRXh6euKff/7BihUrMHv2bP26Hz16FEqlEo0bN0anTp308wkMDMQbb7yBRYsWYcyYMThx4gSaN2+Oq1ev4ocffsCKFSvQvXt3g3k0adIEHTp0wNGjR5GQkGB0W3To0AFNmjQBAPj6+mL37t3o06cPfv/9d4SFhWHkyJGoV68eEhIS8MMPPyAlJQUzZ87E4MGDK9Ufyoqh5GcC3K82tHPnTkRFRWHnzp145JFH8MILL8DLywtnzpxBdHQ08vLy8O6772LKlCkGyynrc3/wc62MjRs3Ijc312C+u3bt0j8837Nnzwo9OP3f//4X+fn5WLNmDdq0aYNXXnkFzZo1w40bN7Bs2TJcu3YNXbt2xbp168o8++Tv7482bdrg1KlTsLe313/2JfXt2xdyuRxarRZt2rQp89YhU9+z0NBQpKSkYOPGjThx4gQGDBhQqnCE7nuku/02NTVVv82DgoIqVHHRmPK+O6tXr8Yvv/yCp556qsz5lNzm7dq1w+jRo/HII48gIyMDf/zxB/bu3Yv27duXOmOt67OxsbEA7t8GpFuvESNGAPhfv9BV4IqNjcWqVavg6+tr8LyYOWJ4cBk64eHhmDp1KqZPn45t27ahbdu2eOaZZwz2OU2aNNFffXpwvwjcf49T3759sXXrVkyaNAmvvfYa4uLisGPHDjz11FMGpXMfdt2A+7elbNiwAf369cO6devw+OOP47nnnoOjo6P+6umcOXPw9ttvA/jfd65FixZo27Yt8vLysGHDBgAwuP275L5F91mVx97eHj4+Prh9+zaio6Pxxx9/YPDgwQgNDYW9vb2+ytymTZtw7949dOjQARs2bChVzUr3fSj53ibdPtnYPqi8dQgLC0NYWJh+uLe3N7p164Y9e/Zg3759Rm9fsrW1hUqlwpUrV9C0aVOMGjUKzZo1g0ajwZkzZ7Bq1SoUFxdj/PjxRveJI0eOxOnTp/Htt9/C3d0dhYWF+Pzzz+Hj44O+ffvqpxs1ahTu3LmD999/H3369MGoUaPQvn175Obm4pdffsHx48fh7++Pbdu2lao+plu/B787gOHv0oNqw++xju49ZEOHDq10db2K/C7r9i8PHqPovvu6vlPyfVS678iD/aYs5u6zzZs3x++//45BgwZh+vTpOHr0KAYMGAClUom9e/fi119/hZ2dHb7//nuTlWffeustREdH48aNG+jYsSPGjBkDZ2dn7N27FxcvXsRHH32k/9x0cfTo0QP16tWDg4MDFAoFjh07hmbNmmHEiBEICAhAQUEBYmJi8Ouvv0Imk+HLL78s9c5PmUyGESNGYOHChZgxYwYKCgqQnJyMZcuWoUWLFnjsscf0006dOhVZWVmYP38+OnTogJdeeglhYWFIT0/Hjz/+iLi4OLRq1Qrbt283qKpYcns+uP112/LKlSs4cuSI0f5S0eMPXmGqxe7evSt++ukn8dprr4n27dsLX19foVKphI2NjfD09BSPPfaYeO+998T58+fLnZdWqxWrVq0SvXr1Et7e3kKpVAofHx/x9NNPGz3Lpjsja+yf7s31urM2D/4zdRb38OHDYvjw4aJhw4bC1tZWODs7i3bt2okvvvhC5OXllRl/amqqGD9+vGjUqJGwtbUVPj4+om/fvvozZA/GMGTIkFLz0Gg0Yvbs2aJFixZCpVIJLy8vMWjQIHHq1Cmj83j++eeFEIZngB78Z+wsRk5Ojpg1a5aIjIwULi4uwsbGRjRs2FAMHz5cHD16tMz1NKWsGEp+JiWp1WqxcOFC0alTJ+Hu7i5sbW1FgwYNxLPPPmvyDfVlfe4VOTtviu4sqKl/lT2rt2XLFvH0008LX19fYWNjI7y8vETPnj3FypUry7yyVNKUKVMEANG/f3+T0zz++OMCgJgyZUqF5mnse+bl5SV69eplcGa5JFPfI5RxRrQyHvzu+Pn5iWeeeUacOnVKaLVa/bJWrlxZ5ny2bt0qBg4cKOrVqyeUSqVwc3MTnTp1Et9++22pM9FClN1ndUz1C1NX2aozhvKu5G3ZskX07NlTuLm56feXffr0EVu2bCl19dHYd/DOnTvixRdf1PfRwMBA8dZbb4nMzMxqWbeSEhISxKhRo4Sfn5/+Mx42bJg4efKkwdlz3b+JEycKIYTRcaY+q4ooLi4W+/fvF1OmTBFPPfWUaNKkiXB0dBRyuVw4OTmJ4OBgMXz4cLFhwwaTV5bK+j4Y2weVtw7Gzshv2LBBABAhISEm1yUtLU188803ol+/fqJRo0ZCpVIJW1tb0bBhQzFkyBDxxx9/mGyr0WjEf/7zHxEUFCRsbGxEvXr1xKBBg8TFixeNTn/mzBnx0ksviYCAAKFSqYSLi4t49NFHxWeffSZycnKMtilrnStydUPq3+O8vDzh6uoqZDKZ+Oeff8qN90EV+V0ub/9SVt+p6BU7IWqmzwpxv09OnjxZtG7dWjg6Ogp7e3sRHBws3nzzTZGYmFhunNeuXRMvvPCC8PX1Fba2tiIoKEh89NFHIi8vz+g+bdeuXQZtv/jiC9GjRw/9fkalUonAwEAxcuRIcezYMZPLzc/PF++++65o2LChsLGxEf7+/mLUqFHi1q1bRqc/dOiQGD58uGjQoIGwtbUV7u7u4oknnhALFy4sdcdMedtTty2NrV9ljz9kQtRwiRoiIqoVsrOz9c9F/P777+jTp4/EERHVjC5duuDAgQNYt25dpa/4U9XNmzcPEydOxKhRo8p8noqotmDCRERkoU6fPo2GDRvC09PT6PgTJ07oi48kJSWhUaNGNRkekWQuXbqExx57DE5OTjhx4oS+xDuZ34ULF9CuXTt4eXnhr7/+Mrl/IqpNWCWPiMhCPfXUU5g5c6bJ8Zs3bwYAtGnThskSWZVmzZph06ZNyM7ORlRUlMnKplS9Ll68iKioKDg7O+P3339nskR1BhMmIiIL9v333xt9n1tsbCzmz58PAJgxY0ZNh0UkuU6dOuHo0aMQQuC///2v1OFYhVmzZiEoKAgxMTE1/h4doqrgLXlERBbKz88PKSkpcHV1xQsvvIDmzZtDLpfj77//xqpVq6BWqzFnzhxMmDBB6lCJJKPVanH9+nU0btxY6lAs3tWrVxEYGCh1GESVxoSJiMhCJSUlYdWqVdi7dy/Onz+P9PR0yOVy+Pn5oUuXLnjrrbdKlYElIiIiQ0yYiIiIiIiITOCLay2QVqvFrVu34OzsXObLO4mIiIiI6hIhBHJyclC/fv1SL782FyZMFujWrVvw9/eXOgwiIiIiIrO4fv06GjZsWCPLYsJkgZydnQHc70guLi41vnytVou0tDR4e3vXWOZPloV9iKqKfYiqgv2Hqop9yHyys7Ph7++vP96tCUyYLJDuNjwXFxfJEqaCggK4uLhwJ0EPhX2Iqop9iKqC/Yeqin3I/GrysRN+gkRERERERCYwYSIiIiIiIjKBCRMREREREZEJTJiIiIiIiIhMYMJERERERERkAhMmIiIiIiIiE5gwERERERERmVCnEqYjR44gJCQEMpkMiYmJUodDREREREQWrk4kTPn5+Zg4cSI6d+6MixcvVrjd8ePHMXDgQHh7e8Pe3h4tW7bEjBkzoFary2yXnJyMsWPHolGjRlCpVGjUqBHGjh2LW7duldlOrVZj5syZaNmyJezt7eHt7Y2BAwfi+PHj5ca6evVqPPHEE/qXzXbs2BE//fRThdeViIiIiIiqX61PmBISEtCmTRusW7cO27dvr3C71atXo2PHjkhNTcX69etx9uxZjBkzBtOnT0enTp2Qm5trtF1cXBxat26NTZs2Yf78+YiPj8f8+fOxceNGhIWFIS4uzmi73NxcdOrUCZ988gnGjBmDs2fPYv369UhNTUXHjh2xevVqk7G+8cYbeP755xEcHIwjR47gyJEjCA4OxogRI/DGG29UeJ2JiIiIiKiaiVpu06ZN4vXXXxc5OTlCCCEACADi6tWrJttcvnxZqFQq4ePjIzIyMgzGzZw5UwAQL7/8cql2RUVFIjQ0VAAQhw8fNhh36NAhAUA0b95cFBUVlWr70ksvCQBi5syZBsMzMjKEj4+PUKlUIiEhoVS7lStXCgCiV69epcb17NlTABCrVq0yua7GZGVlCQAiKyurUu2qi0ajEcnJyUKj0UiyfKr72IeoqtiHqCrYf6iq2IfMR4rj3Fp/halv375YvHgxnJycKtzms88+g1qtxosvvgg3NzeDcePGjYNKpcLy5ctx7do1g3E///wz4uPj8dhjj6FDhw4G4zp27Ij27dvj/PnzWLNmjcG4pKQkrFixAiqVCuPGjTMY5+bmhjFjxkCtVmPWrFmlYv3kk08AAO+++26pcRMnTjSYhoiIiIiIalatT5gUCkWlptdoNFi/fj0AoHv37qXGu7q6IjIyElqtFmvXrjUY99tvv5lsBwA9evQAgFIJ07p166DVahEREQFXV1eT7datWweNRqMffvLkSSQkJECpVKJLly6l2nXu3Bk2Nja4fPkyTp48aXKdiYiIiIjIPJRSB1DdLl68iMzMTABAaGio0WlCQ0Nx6NAhxMTEGAzXFWcoqx2Ah26XkZGBy5cvIyQkxKBdo0aNYG9vX6qdvb09GjdujMuXLyMmJgZt27Y1On+1Wm1QyCI7OxsAoNVqodVqjbYxJ61WCyGEJMsmy8A+RFVVsg8VFmtgo5CjSHO/P9ko5Mgv1MBBVTd/AguKNLCzUaCwWANbZfknFYs1WshkMmi0WpPTG5tXRedvibgPoqpiHzIfKbZp3fy1KENCQoL+73r16hmdxs/Pr9S0ubm5uH37doXapaSk4N69e3BwcDCYj6l2JYcnJCToE6by2umWefnyZYNYHzRr1ixMnz691PC0tDQUFBSYbGcuWq0WWVlZEEJALq/1FzGpFmIfoqrS9aEbd+/h4/XxaOLtgCtp9wAAjwa64e+rmfj+5baQyWQSR1px6mItzt/MxvydCWju5ww3RxuMfTKwzDZFGi3mbL+EVg1dsDcuDfOfCzMYn1+owenrWVj/9y18+Uwr/fAbd/Px0bo4LHupLZTyurONqgv3QVRV7EPmk5OTU+PLtLiESXd1RaFQwMbGxug0ukQnKyurVDsARq/2lGyna6v7v66tqXYKhQIqlQpqtdroMk21MxXrgz788ENMmDDBYL7+/v7w9vaGi4uLyXbmotXeP5vp7e3NnQQ9FPYhqiqtVoucgmL8eugm5o1qj6u3c5CdX4QAbyc09nbG0t3x8PDyho2ibvSvtOx8LNwcizYBnvjvq09g8R9x0MqU8PHxMdmmWKPFvK1n0KqxNw7Fp8DPwwkenl5QKuQQQuDoxdv49chVNPR0QkMvZ/28NsUk4kRCOh4J9ISrmwcc7Yz/lloy7oOoqtiHzMfOzq7Gl2lxCZM1UqlUUKlUpYbL5XLJvqQymUzS5VPdxz5EVVFYrMGyA0kY2zsMQfVc0bKRp8F4lY0CWoFa3b8KizU4GJeM2Gt3kZVXiAn9w+Hnfv8k2uwXHse0X2JMxn89PRerD17C48G+eKJ5PQztEISlu8+joFgLZ6UC/915Ho52Snz2/GNwsrPBtF9ikFtQjMV/nIO7kwr/GR6Jr7aegaaWbyNz4j6Iqop9yDyk2J4WlzDprqhoNBoUFRUZvcp079792zJKFmgoeSUmPz/f6Lx17Uy1NdVOo9HonzGqTDtTsRIRkWlCCCzeEYduzb0R6ONsdBobpRxFxVrY29ZwcBWUkJKFZXvi0T7YF33bNkJwfbdy2wgh8HdCGuJvZiIpLRd9IxrhkUAvAICbowqOKhtk5qrx3c44BPm6YHD7Jvq29wqLMXPdSbzSozma+t3/vbFRylFYzOcviIgsLmEKCgrS/52SkgJ/f/9S0yQnJ5ea1snJCT4+Prh9+zZSUlKMzlvXrl69ega35wUFBeHEiRMm25UcXnKZur9NtTMVKxERmbb22BX4ezmhTWNHk9OULAJRmxQUaRBz6Ta2n7qOCf3D4eVi+taTzHuF0GgFFHIZ7uQU4NcjCbBRyBEe4InnOzeD/IHnsxxUSszedBqjngzBo0HeBuP6RTSGn7uDPlkC/pdUEhFZO4u7RhgcHKy/GhMfH290Gt3wyMhIg+Ht2rUzazs3Nzc0bdq0VLtr164ZvcqUn5+PpKQko8skIqLSjl1MxY07eRj8WECZ09nWwmSgoLAYM9eeQFpOAT4a8kiZyRIAuDuqcD09F+nZBfh8wz+IaOKNl3s0R2RTn1LJEgAE1XPB8CealkqWAKBLy/qlrmLZKuQoLNaUmpaIyNpYXMKkUCgwePBgAMCePXtKjc/KykJMzP37vocMGWIwbujQoSbbAcDu3bsNptMZMmQI5HI5Tpw4YbQ4g67d4MGDDd4rFRERgSZNmqC4uBh//vlnqXYHDhxAUVERgoKCTJYUJyKi+66kZuP3k9cwPqpVudXvlAo5CmvRFab9525hyi8xGNohCIMfC4SjqvxCC80bumHHqev4YuM/eKdvGNo1M10AAgA6NfdDh1DTVVkfZKNU1MqrcERENc3iEiYAmDx5MmxtbbFixYpSCcyiRYugVqsxevRoNG7c2GDc8OHDERwcjOPHj+PIkSMG444cOYJjx44hJCQEw4cPNxgXEBCAUaNGQa1WY/HixQbjMjMzsXz5ctja2mLy5MmlYp02bRoAYP78+aXGzZs3z2AaIiIyLiNXjf/ujMOkAeEVqnxno5CjuBYkAwVFGny58RROJ97B5yMeQ1hjz/Ib/T9fVwdcT8/F5yMeQwNP07cfPixbZe28bZGIqKbViWeY0tLSoNFoSg3TlRV88D1GTZs2RXR0NEaPHo2oqCjMnj0bfn5+2LBhA6ZNm4aIiAh89dVXpZZjY2ODdevWoUuXLhgyZAgWLVqEtm3b4uTJkxg3bhw8PDywdu1aKJWlN9uCBQsQGxuLqVOnwtbWFoMGDUJycjImTZqE9PR0fP/990afQ3rhhRdw+PBhLFmyBGPGjMHEiRMBAHPnzsXOnTvx6quvYuTIkQ+76YiILF5hsQZzt5zGuN4t4epQsSoOteEZppNX0rH2aAKe6dgU4QEVT5R0uraqj66t6pshsvuUitp32yIRkRTqRMIUGRmpf5ZHR/f8D3C/MtCDRo4ciWbNmmHWrFl4+umnkZubi8DAQEyZMgXvv/++yRrurVq1QmxsLKZPn463334bt2/fho+PD/r3749p06ahQYMGRts5Ozvj0KFDmD17NqKjo/HRRx/B0dERHTt2xKFDh/D444+bXL/vvvsOnTp1wuLFi9G+fXsAQOvWrbFy5UqMGDGi3O1DRGSthBD4ettZPB0ZgMbexiviGSNlQQOtEDgcn4KDccnlFnaQklIug0Zb+veViMjayISxbIPqtOzsbLi6uiIrK0uyF9fqEk2+e4AeBvsQVdSaw5dhq1Rg0GOBBsPL60Prj19FoI+zvux2TdFoBeZviYWboy1e6BoMW6Wi/EYS+f1EErxc7PBYM1+pQ6lx3AdRVbEPmY8Ux7l14goTERHRgw7HpyA1Kx9vRrWqdFsbCW43OxiXjFUHLuGZjkHo1tr43Qq1iVIhh0bDc6pEREyYiIiozrmcnIU/Tl3H1KER5VbEM8ZWWXNFH4QQWLHvAnLyi7D41SegqCNnm+Uy3pJHRAQwYSIiojrmbm4Bluw+j4+HtIWyAhXxjLGpobLiWiHw/b4L8HBSYUy3ULMvrzopFTIUa1n0gYiobpzmIiIiAqAu0mDO5liMj2oFlwpWxDOmJirAFWm0mPHbCXi72GFgu8DyG9QyCrmcV5iIiMArTEREVEcIIbDg9zMY0j4QjbycqjQvG4UcuQVF1RRZackZ9/DNtjMYEBmA9sF1s2iCglXyiIgAMGEiIqI64udDlxHawA0RTbyrPC8bM76UNfF2DhbtOIsJ/cPh5+5glmXUBBuFHIV8DxMREW/JIyKi2u9gXDLu5qoxIDKgWuZnozBP0YcjF1KwYt8FTKzjyRIA2NsqUFBUjDs5BVKHQkQkKSZMRERUq11KzsLuMzcxtleLapunUiGr1meYcguKMGPtCcRcTsPH/2qLenU8WQIAO1slfjtyBc99tUfqUIiIJMVb8oiIqNa6k1OA6N3n8fG/Ih66Ip4xtkpFtd2SdyU1G9G7z2PUkyEIqe9WLfOsDXxc7dE9rAFu3smTOhQiIknxChMREdVKBUUazN18Gm/1aQ1ne5tqnXd1vLhWCIGz1+4ievd5vNmntUUlSwDg6mCL13q2QOXfckVEZFl4hYmIiGodrRD4amsshnUIQgNPx2qfv41CjpwqVMlTF2nw86HLuJtbgA8GPVKlEudERFS78QoTERHVOj8duITWjTzQJtDLLPP3dFYhKS3nodreySnAxz//hXpu9pjQP5zJEhGRheMVJiIiqlX2n72F3IIijOwSbLZl2Nkq4WxX+dv8MvPU+HLTKbzVpzX8q/guKCIiqht4hYmIiGqN+JuZ+DPuFl7t2dzsy6rsK1kzctX4bP0/eLVHC6tKlmQyvsCWiKwbEyYiIqoV0rLzsWJvPCYOCIdCbv6fJyEEjl5IhUZbfvGHU4np+M/aExjXuyWC6rmYPbbaRGmmd1YREdUVvCWPiIgkV1BYjLmbY/FW39Zweohb5R7GX5fTcP5mJr57rTM8ne2MTpOScQ+rDlxCYbEGM59rB3tb6/vZtFXKUaTRQmWjkDoUIiJJWN+en4iIahWtEJi/9QyGP9EUDTyqvyKeKds+isJ3O88bLS+ek1+EBb+fgbqoGGN7tTRLpb66ojpKsBMR1WVMmIiISFI/7r+INoGeCA/wrNHlKuRy2Pz/1ZOSLiVnIXrPebzcvTma+bnWaEy1kbFtRERkTZgwERGRZPaeuQl1kQZRjzSSZPlKuUz/fI4QAueuZ2D1oct4/+k2Jm/TszZKBRMmIrJuTJiIiEgScTcycCg+BR8NaStZDDZKBdJzCpCceQ9/XboNmUyGDwa1gYs9362kw1vyiMjaMWEiIqIal5p5Dz/su4CpwyKgkMski8PBVoFle+Lh42qPqEca4fEQX8liqa1seIWJiKwcEyYiIqpR+YXFmLc1Fu/0C4OjqmYq4pky6LFADHosEDKZdElbbadUyCpUep2IyFIxYSIiohqjFQJzN8diROdg+Lk7SB0OE6UKUMjlKNbwxbVEZL344loiIqoxK/ZeQLtm3mjdyEPqUKiC7l9hYsJERNaLCRMREdWIXadvQAiBXuH+UodClaCQy1DMW/KIyIoxYSIiIrM7e+0ujl9KxYvdQqUOhSpJIZdDyytMRGTFmDAREZFZpWTew8oDFzGhf7ikFfHo4SgVMj7DRERWjQkTERGZzT11MeZvjcWEfmFwULHOUF2kkLNKHhFZNyZMRERkFhqtwNzNp/FCl2D4uklfEY8ejlIuRzFvySMiK8aEiYiIzGL53ng8HuKLlv6siFeXyeUyPsNERFaNCRMREVW7P05dh0IuQ4+whlKHQlWkZJU8IrJyTJiIiKhanUm6gxMJaRj9ZIjUoVA1UCrkfA8TEVk1JkxERFRtkjPu4aeDl/Fu/zDIZayIZwkUchnyCoqlDoOISDJMmIiIqFrkFRThq62xmNA/DPa2rIhnKexsFMjJL5Q6DCIiyTBhIiKiKtNotZi7+TRe7BYCH1d7qcOhauRsbwvBO/KIyIoxYSIioipbujsenVr4IbSBu9ShUDVTKmQoYtEHIrJiTJiIiKhKtp28BntbBZ5s1UDqUMgMlAo5NBpeYiIi68WEiYiIHtqpxHScTryDkV2CpQ6FzMRGIUeRhleYiMh6MWEiIqKHcvNOHtYcTmBFPAunVMhxOvEO5mw6LXUoRESSYMJERESVlltQhK+3ncHE/uGws1FIHQ6ZkZ2NAgq5DLez86UOhYhIEkyYiIioUjRaLeZsOo2XuofCy8VO6nDIzFQ2Cix9vQvsmRgTkZViwkRERJXy3c7zeLJVfQTXd5M6FCIiIrNjwkRERBW25e9EuDjYokvL+lKHQkREVCOYMBERUYWcvJKO8zcy8XynplKHQkREVGOYMBERUbmup+di7bEreLtva8hYEc8q8U1MRGStmDAREVGZsvMLsXD7WUzsHwYVH/wnIiIrw4SJiIhMKtZoMXfTabzcozk8nVkRz5rxuiIRWSsmTEREZJQQAt/+cQ49whuimZ+r1OEQERFJggkTEREZtTkmEZ7OdujU3E/qUKiWEIJPMhGR9WHCREREpcRcvo2LyVkY/gQr4tF9hRotcvKLpA6DiKjGMWEiIiID19JysOGvRFbEIwMNPBxRUKSROgwiohrHhImIiPSy7xVi4Y5zmDQgDLZKVsSj/1Eq5CjWaKUOg4ioxjFhIiIiAECRRovZm0/jtZ4t4OHEinhkSCmXMWEiIqtk0QlTYmIi3n33XYSFhcHd3R12dnZo2rQpxo4di6tXr5psd+HCBYwYMQJ+fn6ws7NDUFAQ3nvvPWRlZZW5vKysLLz//vto2rQp7Ozs4OfnhxEjRuDChQtlttNqtVi0aBEiIiLg6OgIDw8P9OzZEzt27Hio9SYiqiwhBBZtP4uoNv4IqucidThUC9ko5CjSsOgDEVkfi02Y9u7dixYtWmDRokUYPnw4Dhw4gFOnTmHChAn4+eefERYWhmPHjpVqt3//fjzyyCP4+++/8f333+P8+fP4+OOP8d///hdt27ZFcnKy0eUlJyejbdu2+Pbbb/HRRx/h/Pnz+P777/H333/jkUcewf79+422Ky4uxsCBAzF+/Hj07NkT//zzD3bu3AmVSoWoqCh88cUX1blZiIiM2nD8KvzcHdEhtJ7UoVAtpVTIUazlFSYiskLCQoWFhQkA4qOPPio1bsmSJQKACAsLMxiekZEhvLy8hJ2dnUhISDAY99NPPwkAokePHkaX16NHDwFA/PTTTwbDExIShEqlEl5eXiIzM7NUu//85z8CgHjllVcMhhcWFooWLVoIAOLgwYMVWmedrKwsAUBkZWVVql110Wg0Ijk5WWg0GkmWT3Uf+1DNOnYxRczZdEpotVqpQ6k27EPVb9WfF8Xh+GSpw6gR7D9UVexD5iPFca7FXmG6dOkSAODxxx8vNU43LDY2Fnfu3NEP/+abb5Ceno6nn34aTZo0MWjz7LPPon79+ti9ezcOHz5sMO7gwYPYvXs36tevj2effdZgXJMmTTBo0CCkp6dj4cKFBuPu3buHL7/8EgAwYcIEg3E2NjZ46623AADTp0+v8HoTEVVG4u0cbPk7CW/2acWKeFQmb1c7aLW8JY+IrI/FJkzh4eEAgLi4uFLjdMNkMhns7P73YPNvv/0GAOjevXupNnK5HN26dQMArFmzxmCcrl3Xrl0hl5fepD169DDabseOHcjJyUH9+vURGhpqst2+ffuQlpZmbDWJiB5aZp4ai/84h0kDwlkRj8qllMtRzISJiKyQUuoAzOXbb79Fv379MGPGDAQEBKBfv35QKBT4888/9VdzunTpAkdHRwBAXl4ezp07BwBGk5eSw2NiYgyGHz9+vELtzp07h/z8fNjb21eoXZMmTWBra4vCwkKcPHkSTz31lNHp1Go11Gq1/v/Z2dkA7heT0Epwv7lWq4UQQpJlk2VgHzK/wmINZm86jdd6NoeLvY3FbWv2oeonkwF7Ym8gpL4rfF3tpQ7HrNh/qKrYh8xHim1qsQlTmzZtcOHCBcyfPx9jxoxBXl4eZDKZfiOHh4dj+fLl+umvXr2qH1evnvGHnv38/AAACQkJBsN1/y+vnVarxdWrV9GiRYsKtZPJZPD19cX169dLLbOkWbNmGb1tLy0tDQUFBSbbmYtWq0VWVhaEEEavuBGVh33IvIQQWH4gCZ2C3OCIfNy+nS91SNWOfaj65eVk46/LaeiScBOyhpZdSZH9h6qKfch8cnJyanyZFpswZWRkYPTo0di6dSsmTpyIoUOHQqVS4cCBA0hJScHEiRPh7u6un153VQaA/grQgxwcHACgVHlxXdvy2j3Ytrx2ZS2zpA8//NDgGajs7Gz4+/vD29sbLi41/6Om1Wohk8ng7e3NnQQ9FPYh81p79AqC/b3RKzJQ6lDMhn2o+vXx8QFs7OHobAcfHx+pwzEr9h+qKvYh8yn5OE1NsciESQiB3r1746+//sLkyZMxc+ZM/biwsDBs2LABzZs3x7Jly9C3b18JI60eKpUKKpWq1HC5XC7Zl1Qmk0m6fKr72IfM4+iFVNzMuId3+ra2+CIP7EPVz9ZGgWKtdZwxZ/+hqmIfMg8ptqdFfoJ79+7FX3/9BQCYOHFiqfGDBg2Ci4sLBg4ciH/++QcADK7E5Ocbvz3l3r17AABXV1eD4bq25bV7sG157cpaJhFRZV1Jzca2k0kYH8WKePRwbBRyFBXzmQwisi4WmTCdOHECAODr6wsPDw+j04SGhqK4uBjR0dEAgMDAQP0BREpKitE2upfWBgUFGQzX/b+8dnK5HAEBARVuJ4RAamqq0WUSEVVGRq4a/90Zh0lPt4GNwiJ3/VQDbBRyFGmYMBGRdbHoX82yzqDqLufduHEDAODo6IiWLVsCAOLj44220Q2PjIw0GN6uXbsKtWvZsqXB80zltbty5QoKCwshl8vRtm1bk+tCRFSWwmIN5m45jXG9W8LVwVbqcKgOs1EyYSIi62ORCVNwcDCA+1duTBVLuHDhAgDDCnVDhw4FAOzZs6fU9FqtFnv37jWY7sF2+/fvN1rqcPfu3Ubb9e7dG05OTrh165bRpEnXrmvXrvD29ja6HkREZRFC4OttZ/F0ZAAaeztLHQ7VcTYKBW/JIyKrY5EJU69eveDr6wsA+Prrr0uN37Fjhz5BGTJkiH74m2++CU9PT2zatAlXr141aPPLL7/g1q1b6NatGzp16mQwrnPnznjyySdx69atUi+nvXLlCjZs2ABPT0+8+eabBuMcHR3x3nvvAQDmz59vMK6oqEgf+7Rp0yq87kREJf16JAFBvi6IbGrZVc2oZvAKExFZI4uskufg4ICffvoJTz/9ND799FPIZDL861//gkqlwt69e/Hvf/8bwP0EqVevXvp27u7u+PXXX9G3b19ERUXh66+/RrNmzbB//3689dZbCAgIwMqVK40uc9WqVejYsSNeffVVFBQUoGvXrrh06RLeeustyGQy/Prrr3BzcyvVbvLkyTh+/DiWLFkCDw8PjBkzBtnZ2Zg2bRri4uIwc+ZMdO7c2SzbiYgs2+H4FKRm5ePNqFZSh0IWgkUfiMgayYQQQuogzCUhIQHz58/Hrl27cO3aNWg0Gnh7e6Ndu3Z45ZVX0KdPH6Pt4uPj8emnn2Lv3r3IyMhAgwYNMGjQIEyZMsVo0qOTmZmJGTNmYMOGDbhx4wbc3d3RrVs3TJkyBc2bNzfZTqPRYPHixVi+fDkuXrwIGxsbPProo5gwYYLJGMuSnZ0NV1dXZGVlSfYeptu3b8PHx4elNOmhsA9V3eXkLPz450VMHRoBpRUWeWAfMo+ElGwcPJ+M0U+GSB2KWbH/UFWxD5mPFMe5Fp0wWSsmTFTXsQ9Vzd3cAny+4RQ+HtIWLlZa5IF9yDyupefij1PX8UoP0ycBLQH7D1UV+5D5SHGcy0+QiMiCqIs0mLM5FuOjWlltskTmY8tb8ojICjFhIiKyEEIILPj9DIa0D0QjLyepwyELxKIPRGSNmDAREVmInw9dRmgDN0Q04WsIyDxY9IGIrBETJiIiC3AwLhl3c9UYEBkgdShkwXiFiYisERMmIqI67lJyFnafuYmxvVpIHQpZuPtXmDRSh0FEVKOYMBER1WF3cgoQvfs8Jg0It8ry4VSzFHIZNFoW1yUi68JfVyKiOqqgSIO5m0/jrT6t4WxvI3U4ZAVkMhnu5qmlDoOIqEYxYSIiqoO0QuCrrbEY1iEIDTwdpQ6HrMjtrHzwFY5EZE2YMBER1UE/HbiE1o080CbQS+pQyMqENfZEISvlEZEVYcJERFTH7D97C7kFRegb0VjqUMgK2dsqkF9YLHUYREQ1hgkTEVEdEn8zE3/G3cKrPZtLHQpZKXtbJQ6eT2HxByKyGkyYiIjqiLTsfKzYG4+JA8KhkHP3TdJwsrNB9O7zyFMXSR0KEVGNUEodABERla+gsBhzN8firb6t4WTHingknec6NUN6dgG0vMJERFaCpyiJiGo5rRCYv/UMhj/RFA08WBGPpKWQy6BQyFCsYcJERNaBCRMRUS334/6LaBPoifAAT6lDIQJwP2kq1rJSHhFZByZMRES12N4zN6Eu0iDqkUZSh0Kkp5TLWfSBiKwGEyYioloq7kYGDsWn4OUerIhHtYtCLoNGwytMRGQdmDAREdVCqZn38MO+C5g4IAwKuUzqcIgM3L8lj1eYiMg6MGEiIqpl8guLMW9rLN7pFwZHFSviUe2jVPCWPCKyHkyYiIhqEa0QmLs5FiM6B8PP3UHqcIiMUshl0LDoAxFZCSZMRES1yIq9F9CumTdaN/KQOhQikxRyOcuKE5HVYMJERFRL7Dp9A0II9Ar3lzoUojIpFTLekkdEVoMJExFRLXD22l0cv5SKF7uFSh0KUbn4HiYisiZMmIiIJJaSeQ8rD1zEhP7hrIhHdYJCLoeGt+QRkZVgwkREJKE8dRHmb43FhH5hcFAppQ6HqEJ4Sx4RWRMmTEREEtFoBeZtjsULXYLh68aKeFR38JY8IrImTJiIiCSybM95PB7ii5b+rIhHdYuSt+QRkRVhwkREJIEd/1yDUiFHj7CGUodCVGl8DxMRWRMmTERENSw26Q5OXEnH6CdDpA6F6KHcvyWPV5iIyDowYSIiqkG37uZh9cHLmNA/DHIZK+JR3aRUyFn0gYisBhMmIqIakldQhAW/n8GE/mGwt2VFPKrb0rMLpA6BiKhGMGEiIqoBGq0WczefxovdQuDjai91OERV4ulsB14gJSJrwYSJiKgGLN0dj04t/BDawF3qUIiqTC4DtLwlj4isBBMmIiIz23byGuxtFXiyVQOpQyGqFnKZDBrBhImIrAMTJiIiMzqVmI7TiXcwskuw1KEQVRu5XMYrTERkNZgwERGZyc07eVhzOAHvsiIeWRi5TAYtrzARkZVgwkREZAa5BUX4etsZTOwfDjsbhdThEFUrhVyGdceuSh0GEVGNYMJERFTNNFot5mw6jZe6h8LLxU7qcIiqnZ+7A0IbuEkdBhFRjWDCRERUzb7beR5PtqqP4PpuUodCZBYymQxujiqpwyAiqhFMmIiIqtGWvxPh4mCLLi3rSx0KERERVQMmTERE1eTklXScv5GJ5zs1lToUIvMTAndzC6SOgojI7JgwERFVg+vpuVh77Are7tsaMlbEIytw/U4eXlr8p9RhEBGZHRMmIqIqys4vxMLtZzGxfxhUrIhHViL6jS4Ia+QhdRhERGbHhImIqAqKNVrM3XQaL/doDk9nVsQj68F3ixGRtWDCRET0kIQQ+PaPc+gR3hDN/FylDoeIiIjMgAkTEdFD2hyTCE9nO3Rq7id1KERERGQmTJiIiB5CzOXbuJicheFPsCIeERGRJWPCRERUSdfScrDhr0RWxCMiIrICTJiIiCoh+14hFu44h0kDwmCrZEU8snI8YUBEVoAJExFRBRVptJi9+TRe69kCHk6siEdERGQNmDAREVWAEAKLtp9FVBt/BNVzkTocIiIiqiFMmIiIKmDD8avwc3dEh9B6UodCRERENYgJExFROY5fSsXV2zkY1qGJ1KEQ1S5CSB0BEZHZWXzClJeXh1mzZiEyMhJubm5wcHBAkyZN8PTTT+O7774z2ub48eMYOHAgvL29YW9vj5YtW2LGjBlQq9VlLis5ORljx45Fo0aNoFKp0KhRI4wdOxa3bt0qs51arcbMmTPRsmVL2Nvbw9vbGwMHDsTx48cfer2JqHok3s7Blr+T8GafVqyIR/QgfieIyApYdMJ06dIltGzZEuvXr8dHH32Ef/75BydPnsT48ePxxx9/4D//+U+pNqtXr0bHjh2RmpqK9evX4+zZsxgzZgymT5+OTp06ITc31+iy4uLi0Lp1a2zatAnz589HfHw85s+fj40bNyIsLAxxcXFG2+Xm5qJTp0745JNPMGbMGJw9exbr169HamoqOnbsiNWrV1frNiGiisvMU2PxH+cwaUA4K+IRERFZKaXUAZhLXl4eevXqBR8fHxw4cAB2dv+raBUaGoqCggKsXbvWoE1CQgLGjBkDT09PbN++HW5ubgCAiRMnQq1W46OPPsK7776LpUuXGrQrLi7GkCFDcOfOHRw+fBgdOnQAAAQGBqJevXp44okn8K9//QuxsbFQKg03+TvvvIOYmBjMnDkTEydOBAAEBQVh+/btCAkJwZgxY9C+fXs0acJbgYhqUmGxBnM2n8brvVrAzVEldThEREQkEYu9wjRr1iwkJiZixowZBsmSzuTJk3Hy5EmDYZ999hnUajVefPFFfbKkM27cOKhUKixfvhzXrl0zGPfzzz8jPj4ejz32mD5Z0unYsSPat2+P8+fPY82aNQbjkpKSsGLFCqhUKowbN85gnJubG8aMGQO1Wo1Zs2ZVdvWJqAqEEFi4/Sz6RTRGoC8r4hGZxGeYiMgKWGTCpNFosHz5cqhUKnTr1q3CbdavXw8A6N69e6nxrq6uiIyMhFarLXVl6rfffjPZDgB69OgBAKUSpnXr1kGr1SIiIgKurq4m261btw4ajaZC60FEVbf26BU08nJG+2BfqUMhqtVkMhm0TJqIyMJZ5C15Z8+eRXJyMkJCQpCdnY0vvvgCW7ZsQUpKCtzd3dGpUye89957aNmypb7NxYsXkZmZCeD+LXvGhIaG4tChQ4iJiTEYrivOUFY7AA/dLiMjA5cvX0ZISIjR6dRqtUFBiuzsbACAVquFVqs12sactFothBCSLJssg5R96NjFVNy4k4u3+rRiH67DuB+qGXIZUFysgVJhWedf2X+oqtiHzEeKbWqRCVNsbCwAID8/HxEREWjdujW+/fZbeHl54cCBA/jwww/xyy+/4LfffkP//v0B3H9+SadePePvWfHz8ys1bW5uLm7fvl2hdikpKbh37x4cHBwM5mOqXcnhCQkJJhOmWbNmYfr06aWGp6WloaCgwGgbc9JqtcjKyoIQAnK5Zf2IUs2Qqg9du3MPG2Nu4q2eQUhLS6ux5VL1436oZhQWFiIl9TZslZa1jdl/qKrYh8wnJyenxpdpkQmT7kDn2rVreOSRR7Bx40Z9Z23ZsiUCAgLQp08fjBgxAgkJCfDy8tJflVEoFLCxsTE6X12ik5WVpR+mawcA9vb2ZbbTtdX9X9fWVDuFQgGVSgW1Wm2wzAd9+OGHmDBhgkFM/v7+8Pb2hotLzT9/odVqIZPJ4O3tzZ0EPRQp+lBGrhprd17Fh/+KhKuDbY0sk8yH+6Ga4WB/C55eXrC3tazDCfYfqir2IfMxVpvA3CxrD/f/7t27p/97/PjxpTpqVFQUgoODcfHiRfzwww/66nR1lUqlgkpVuoqXXC6X7Esqk8kkXT7VfTXZhwqLNZi39QzGRbWCu1PN74jJPLgfMj+FXAZAZpHbmP2Hqop9yDyk2J4W+QmWvGLTokULo9NEREQAAP766y8A0F+J0Wg0KCoqMtpGl4iVLNBQ8gpOfn5+me1MtTXVTqPR6J9NMlYUgoiqTgiBr38/i4HtAtDY21nqcIjqFIVcDg2LPhCRhbPIhEn3zBAAeHh4GJ3G2fn+gVFGRgaA++8+0klJSTHaJjk5udS0Tk5O8PHxqVC7evXqGdyep5uPqXYlh5dcJhFVnzWHExBUzwWRTX2kDoWozpHLAa2WCRMRWTaLTJgeeeQR/d+pqalGp9ENd3d3BwAEBwfrr+LEx8cbbaMbHhkZaTC8Xbt2Zm3n5uaGpk2bGp2GiB7eofPJuJ2dj4HtAqQOhahOkstk0DBhIiILZ5EJU/PmzREcHAwAOH36tNFp4uLiAED/olmFQoHBgwcDAPbs2VNq+qysLMTExEAul2PIkCEG44YOHWqyHQDs3r3bYDqdIUOGQC6X48SJE0aLOujaDR48GAqFwui8iejhXE7Ows7TN/DGUy0hk8mkDoeoTpLL+R4mIrJ8FpkwAcBHH30EAPj2229RXFxsMG7btm24dOkSPD09MWrUKP3wyZMnw9bWFitWrCiVwCxatAhqtRqjR49G48aNDcYNHz4cwcHBOH78OI4cOWIw7siRIzh27BhCQkIwfPhwg3EBAQEYNWoU1Go1Fi9ebDAuMzMTy5cvh62tLSZPnvxwG4GIjLqTU4Alu89j0oBwi3t/DFFNUshlvCWPiCyexR4pvPDCC3jllVcQFxeHwYMHIyYmBklJSVi5ciVGjRoFFxcXrF27Fm5ubvo2TZs2RXR0NNLT0xEVFYXDhw/jypUrmDt3LqZNm4aIiAh89dVXpZZlY2ODdevWwcPDA0OGDMH69euRmJiI9evXY8iQIfDw8MDatWuhVJYuSrhgwQJERERg6tSpmDt3Lq5cuYLDhw8jKioK6enpiI6O5vNLRNVIXaTB3C2xGB/VCi4sH05UJbwlj4isgcUmTACwZMkS/PLLL8jJyUHPnj0RHByMadOmYejQoTh16hS6du1aqs3IkSNx+PBheHt74+mnn0aLFi0QHR2NKVOm4NChQ/piEQ9q1aoVYmNj0b9/f7z99tsICQnB22+/jf79+yM2NhatWrUy2s7Z2RmHDh3C1KlTER0djRYtWmDAgAHw9vbGoUOHMHLkyOrcJERWTQiBBb+fwZD2gWjk5SR1OER1nhDAPXVx+RMSEdVhMiF487Glyc7OhqurK7KysiR7ce3t27fh4+PDdw/QQzFXH1p98BKc7GwwIDKg2uZJtRP3QzVjzeEE1PdwQKfmfuVPXIew/1BVsQ+ZjxTHufwEicgqHIxLxt1cNZMlompU390BGblqqIs0UodCRGQ2TJiIyOJdSs7C7jM3MbaX8RdZE9HDsbNVYNGOc9gUkyh1KEREZsOEiYgs2p2cAkSzIh6RWbTwd8e/B7ZBUbFW6lCIiMyGRw9EZLEKijSYu/k03urTGs72NlKHQ2RxHFU2aOTlhGItEyYislxMmIjIImmFwFdbYzGsQxAaeDpKHQ6RxVIq5NBoWD+KiCxXpRKmTz/9FPfu3TNXLERE1eanA5fQupEH2gR6SR0KkUVTyGW8wkREFq1SCdP06dORl5dnrliIiKrF/rO3kFtQhL4RjaUOhcjiKRVyvryWiCxapRImIQR69+6NKVOm4PDhw9DyjBIR1TLxNzPxZ9wtvNqzudShEFkFhVyGYg2PB4jIclX6GaZnnnkGcXFx6Nu3L7y8vDBs2DAsX74ct27dMkd8REQVlpadjxV74zFxQDgUfFEgUY1QKmQo5hUmIrJglT6iGD16NNatW4c7d+5g48aNaNasGRYtWgR/f3+Eh4fjgw8+wP79+1FcXGyOeImIjCooLMbczbF4q29rONmxIh5RTVHKWfSBiCxbpRKmq1evwtvbGwCgUCjQuXNnzJw5EydOnEBycjImTZqE69evY9iwYfD09MSgQYOwZMkSXLt2zSzBExEB9yvizd96BsOfaIoGHqyIR1STFAoWfSAiy1aphKlx48aQyWRGx/n4+GDkyJH46aefkJqait27d8PW1havv/46AgMD0bJly2oJmIjoQT/uv4g2gZ4ID/CUOhQiq6OUy1HMK0xEZMGU1Tmz/Px87N69G9u3b8f27dtx7do1CHF/JxofH1+diyIiAgDsPXMT6iINoh5pJHUoRFZJqZCz6AMRWbQqJ0wXL17Etm3bsH37dhw4cACFhYUA7lfUk8lkePTRRxEVFYWoqKgqB0tEVFLcjQwcik/BR0PaSh0KkdVSyGX6k6NERJao0glTQUEB9u3bp0+Srl69CgD6naWHhwd69eqFPn364KmnntI/80REVJ1SM+/hh30XMHVYBBRy47cKExEREVVVpRKmPn364M8//0RBQYE+QZLJZIiIiNBfRWrXrh3kLOdLRGaUX1iMeVtj8U6/MDiqWBGPiIiIzKdSCdOOHTsA3E+S+vXrh2HDhvEqEhHVKK0QmLs5FiM6B8PP3UHqcIiIiMjCVSph+vXXX7F9+3bs2LEDO3fuRH5+Pm7fvo0+ffogNDTUXDESEemt2HsB7Zp5o3UjD6lDISIiIitQqXvn/vWvf2HZsmW4efMmjh8/ju7du2Pjxo1o3bo1AgICMHbsWGzatAl5eXnmipeIrNiu0zcghECvcH+pQyEiIiIr8dAPG4WHh+ODDz7AgQMHkJ6ejtmzZ6OoqAhvvPEGPD090b17d8yZMwfnzp2rzniJyEqdvXYXxy+l4sVuvJpNRERENadaqjO4urpi6NCh+qtPx44dQ48ePbB27VqEhYWhUaNGeO2116pjUURkhVIy72HlgYuY0D+cFfGIiIioRlV7ObukpCQcP34cx48fx/nz5wEAN27cQHR0dHUvioisQJ66CPO3xmJCvzA4qKr1XdtERERE5arU0Ue3bt2wfv16uLm56YcVFhbizz//1BeDuHDhAoD/vZfJ1tYWTzzxBF9cS0SVptEKzNscixe6BMPXjRXxiIiIqOZVKmHav38/ioqKkJCQoE+Q9u/fj/z8fAD/S5ICAwPRu3dv9O7dG926dYOjo2P1R05EFm/53gt4PMQXLf1ZEY+IiIikUen7Wx599FHcuHEDwP8SJDs7O3Tp0gW9e/dGVFQUgoODqzdKIrI6f8anw0ahQI+whlKHQkRERFas0gnT9evXAQDNmjVDVFQUevfuja5du8LOzq7agyMi6xSbdAdnb2Zj2rOPSR0KERERWblKJ0yzZ8/G4MGDERgYaI54iMjK3bqbh18OJ2Bsl8aQy1gRj4iIiKRV6YRp5MiR8PHxMUcsRGTl8gqKsOD3M5jQvzVEQY7U4RARERFVrqz4qFGjYG9vX+mFZGdnY8yYMZVuR0TWQ6PVYs7m03ixWwi8XSq/nyEiaemeayYisjSVSph+/PFHfUW8ysjPz8cPP/xQ6XZEZD2W7DqPzi38ENrAXepQiKiSFAo5irVMmIjIMlXqljwhBObMmQMnJ6dKLSQ3N7dS0xORdfn9RBIcVEo82aqB1KEQ0UNQymXQaLSwUVTqPCwRUZ1Q6WeY5s6dW+mFCCEg48PbRGTEqavpiE26i38PaiN1KET0kJS8wkREFqxSCZOdnR0KCgrg6emJVq1aVbhdYWEhjh07VungiMiy3byThzVHEjBt2KOsiEdUhynkMhRrtFKHQURkFpVKmK5evYovvvgCS5YsgY2NDaZMmYJOnTqV2y4lJQUNGvBWGyL6n5z8IizYdgbvP90GdjYKqcMhoipQKuQo1vAKExFZpkrdbOzr64t58+bh6tWraNOmDfr06YOuXbti7969ZbZTqVTo3LlzlQIlIsuhq4j3cvdQeLnwpddEdZ1SIUOxlleYiMgyPdTTmd7e3vjyyy9x9epVPP744xg0aBA6dOiAHTt2GJ3e3d0d+/btq1KgRGQ5vtt5Ht1a1UdwfTepQyGiaqCUy6HhFSYislBVKmfj5eWFWbNmITExEd27d8fw4cMRGRmJzZs3V1d8RGRhtvydCBcHW3RpWV/qUIiomsjlMnyx8RQKizVSh0JEVO2qpf6nu7s7/vOf/yAxMRF9+/bF6NGjER4ejrVr11bH7InIQpy8ko7zNzLxfKemUodCRNXIxd4Gl1OykJTG14gQkeWp1hcmuLq64pNPPsH+/fuRnJyMZ555BmPGjKnORRBRHXU9PRdrj13B231b8zUDRBbmmY5NMbJLMCvlEZFFqtaEKSkpCa+++iratWuHO3fuQAgBIXhPM5G1y84vxMLtZzGxfxhUrIhHZJGUchk0fBcTEVmgakmYkpKS8MorryA4OBjLli1DYWEhgoODsXLlSixbtqw6FkFEdVSxRou5m07j5R7N4enMinhElkohZ6U8IrJMlXoP04MSExMxc+ZM/PjjjyguLoYQAiEhIfj4448xfPhwyOXVegGLiOoYIQS+/eMceoQ3RDM/V6nDISIzUihYKY+ILNNDJUyJiYmYMWMGVq5caZAoTZkyBc8++ywTJSICAGyOSYSnsx06NfeTOhQiMjMFb8kjIgtVqczm6tWreOmllxASEoIVK1agqKgIwcHBWLVqFeLi4vDcc88ZTZYyMjLQrVu3aguaiGq/mMu3cTE5C8OfYEU8Imug5C15RGShKnWFKSQkBBqNBkIIhIaGYsqUKRg+fHi57QoLC/Hnn38+dJBEVLdcS8vBhr8S8cmwCFbEI7ISCrmcV5iIyCJVKmEqLi6GTCaDp6cn2rVrh127dmHXrl3ltsvPz3/oAImobsm+V4iFO87hg0FtYKtkRTwia6GQy/gMExFZpEo/w9S+fXvY2toiKSmpwm0KCwsruxgiqoOKNFrM3nwar/VsAQ8nVsQjsiZKhRxFxRqpwyAiqnaVTpg2bNgAHx+fSrVJSUlBgwYNKrsoIqpDhBBYtP0sotr4I6iei9ThEFENU8hlyOcteURkgSpV9KFx48ZQKCp/i41KpULnzp0r3Y6I6o4Nx6/Cz90RHULrSR0KEUmAVfKIyFJVukqep6dnpRfi7u6Offv2VbodEdUNxy+l4urtHAzr0ETqUIhIIvcTJlbJIyLLwxcmEVGVJN7OwZa/k/Bmn1asiEdkxZQKOYpZ9IGILBATJiJ6aJl5aiz+4xwmDQhnRTwiK8db8ojIUllVwvTuu+9CJpMhICBA6lCI6rzCYg3mbD6N13u1gJujSupwiEhivCWPiCyV1SRMx48fx9dff13haQcOHAhvb2/Y29ujZcuWmDFjBtRqdZntkpOTMXbsWDRq1AgqlQqNGjXC2LFjcevWrTLbqdVqzJw5Ey1btoS9vT28vb0xcOBAHD9+vMLrR1SThBBYuP0s+kU0RqAvK+IREV9cS0SWyyoSpsLCQrz00kto2LBhudOuXr0aHTt2RGpqKtavX4+zZ89izJgxmD59Ojp16oTc3Fyj7eLi4tC6dWts2rQJ8+fPR3x8PObPn4+NGzciLCwMcXFxRtvl5uaiU6dO+OSTTzBmzBicPXsW69evR2pqKjp27IjVq1dXad2JzGHt0Sto5OWM9sG+UodCRLWEUi7jM0xEZJEq/R6muuizzz7DzZs3sXjxYjz33HMmp0tISMCYMWPg6emJ7du3w83NDQAwceJEqNVqfPTRR3j33XexdOlSg3bFxcUYMmQI7ty5g8OHD6NDhw4AgMDAQNSrVw9PPPEE/vWvfyE2NhZKpeEmf+eddxATE4OZM2di4sSJAICgoCBs374dISEhGDNmDNq3b48mTVh9jGqHoxdSceNuHt7p21rqUIioFuEteURkqSz+CtO5c+cwa9YszJkzB35+fmVO+9lnn0GtVuPFF1/UJ0s648aNg0qlwvLly3Ht2jWDcT///DPi4+Px2GOP6ZMlnY4dO6J9+/Y4f/481qxZYzAuKSkJK1asgEqlwrhx4wzGubm5YcyYMVCr1Zg1a1Yl15rIPK6kZmPbySSMj2JFPCIypFDwljwiskwWnTBptVq89NJLeOKJJ/DSSy+VOa1Go8H69esBAN27dy813tXVFZGRkdBqtVi7dq3BuN9++81kOwDo0aMHAJRKmNatWwetVouIiAi4urqabLdu3TpoNJoy4ycyt4xcNf67Mw6Tnm4DG4VF7zqI6CEo5DIUM2EiIgtk0bfkLViwALGxsThz5ky50168eBGZmZkAgNDQUKPThIaG4tChQ4iJiTEYrivOUFY7AA/dLiMjA5cvX0ZISIjR6dRqtUFBiuzsbAD3E0atBLdHaLVaCCEkWTaZR2GxBnM2ncLrvZrD2U5p9s+WfYiqin2o5sllQLFGmt+d6sb+Q1XFPmQ+UmxTi02Yrl69io8//hiffvopgoKCyp0+ISFB/3e9evWMTqO7pa/ktLm5ubh9+3aF2qWkpODevXtwcHAwmI+pdiWHJyQkmEyYZs2ahenTp5canpaWhoKCAqNtzEmr1SIrKwtCCMjlvBJR1wkhEP1nEjoHu8Ne5OP27XyzL5N9iKqKfajmZeQVIjc3T/+bWJex/1BVsQ+ZT05OTo0v02ITpldeeQXNmzfHu+++W6HpdVdlFAoFbGxsjE6jS3SysrJKtQMAe3v7Mtvp2ur+r2trqp1CoYBKpYJarTZY5oM+/PBDTJgwwSAmf39/eHt7w8Wl5ks+a7VayGQyeHt7cydhAdYcTkDLAB/0jAiosWWyD1FVsQ/VPNs8NWxVGfDx8ZE6lCpj/6GqYh8yHzs7uxpfpkUmTMuWLcOff/6Jv//+GwqFQupwzE6lUkGlKv3iULlcLtmXVCaTSbp8qh6HzicjLacAb0pQ5IF9iKqKfahmKZUKaCzobDr7D1UV+5B5SLE9Le4TTE5OxqRJk/D+++8jPDy8wu10V2I0Gg2KioqMTnPv3j0AMCjQUPIKTn6+8VuVdO1MtTXVTqPR6J9NMlYUgsicLidnYefpG3jjqZasiEdE5VLyxbVEZKEsLmHauXMnMjMzMX/+fDg5ORn8i4qKAgBcu3bNYDgAg+ecUlJSjM47OTm51LROTk762w/Ka1evXj2D2/N08zHVruTwijyHRVRd7uQUYMnu85g0IBxKVsQjogpQKvjiWiKyTBZ3S97gwYPRsWNHo+OOHz+OESNGoH79+ti/f7/BuODgYLi6uiIrKwvx8fHw9/cv1T4+Ph4AEBkZaTC8Xbt22Lp1q358Zdr9+uuv5bZzc3ND06ZNjU5DVN3URRrM3Xwa46NawcXBVupwiKiOUMhlrAhGRBbJ4k4dOzs7o2nTpkb/NWjQAACgVCoNhgP3CywMHjwYALBnz55S883KykJMTAzkcjmGDBliMG7o0KEm2wHA7t27DabTGTJkCORyOU6cOGG0qIOu3eDBg63iWSySnhACC34/gyGPN0EjLyepwyGiOkQuk/GWPCKySBaXMFXF5MmTYWtrixUrVpRKYBYtWgS1Wo3Ro0ejcePGBuOGDx+O4OBgHD9+HEeOHDEYd+TIERw7dgwhISEYPny4wbiAgACMGjUKarUaixcvNhiXmZmJ5cuXw9bWFpMnT67GtSQybfXBywht4IaIJt5Sh0JEdQyfdSQiS2UVCVNaWhpSUlJw9+5dAPeLKaSkpCAlJQW5ubn66Zo2bYro6Gikp6cjKioKhw8fxpUrVzB37lxMmzYNERER+Oqrr0rN38bGBuvWrYOHhweGDBmC9evXIzExEevXr8eQIUPg4eGBtWvXQqksfQfkggULEBERgalTp2Lu3Lm4cuUKDh8+jKioKKSnpyM6OprPL1GNOBCXjIw8NQZEBkgdChEREVGtYRUJU2RkJPz8/PS30t24cQN+fn7w8/PDnDlzDKYdOXIkDh8+DG9vbzz99NNo0aIFoqOjMWXKFBw6dAjOzs5Gl9GqVSvExsaif//+ePvttxESEoK3334b/fv3R2xsLFq1amW0nbOzMw4dOoSpU6ciOjoaLVq0wIABA+Dt7Y1Dhw5h5MiR1bsxiIy4eCsTe87cxNheLaQOhYiIiKhWsbiiD8YkJiZWavr27dtj06ZNlV5OgwYNsGTJkkq3s7Ozw5QpUzBlypRKtyWqqvTsAkTviceUf0WwIh4RERHRA3h0RGTFCoo0mLvlNN7u0xrO9jZSh0NERERU6zBhIrJSWiHw1dZYPNMhCA08HaUOh4iIiKhWYsJEZKV+OnAJrRt5oE2gl9ShEJGFEACOXDD+MnYiorqKCRORFdp/9hZyC4rQN6Jx+RMTEVXQqavpWPD7GanDICKqVkyYiKxM/M1M/Bl3C6/2bC51KERkYVa/2wOh9d2kDoOIqFoxYSKyImnZ+VixNx4TB4RDIefXn4iql5OdDWQyGTRaIXUoRETVhkdMRFaioLAYczfH4q2+reFkx4p4RGQetko5ijRaqcMgIqo2TJiIrIBWCMzfegbDn2iKBh6siEdE5mOjlKOomAkTEVkOJkxEVuDH/RfRJtAT4QGeUodCRBbORiFHYbFG6jCIiKoNEyYiC7f3zE2oizSIeqSR1KEQkRWwVSp4Sx4RWRQmTEQWLO5GBg7Fp+DlHqyIR0Q1w0YpRyFvySMiC8KEichCpWbeww/7LmDigDAo5DKpwyEiK6GQyaBllTwisiBMmIgsUH5hMeZtjcU7/cLgqGJFPCKqOQqFDBotrzARkeVgwkRkYbRCYO7mWIzoHAw/dwepwyEiK6OQy/keJiKyKEyYiCzMir0X0K6ZN1o38pA6FCKyQgo5X1xLRJaFCRORBdl1+gaEEOgV7i91KERkpZRyGYqZMBGRBWHCRGQhzl67i+OXUvFit1CpQyEiK3b/ChOfYSIiy8GEicgCpGTew8oDFzGhfzgr4hGRpBQKPsNERJaFCRNRHZenLsL8rbGY0C8MDiql1OEQkZVTyGXQaJgwEZHlYMJEVIdptALzNsfihS7B8HVjRTwikh6LPhCRpWHCRFSHLdtzHo+H+KKlPyviEVHtoJTL+QwTEVkUJkxEddSOf65BqZCjR1hDqUMhItJTyGUo0mhxPT1X6lCIiKoFEyaiOig26Q5OXEnH6CdDpA6FiMiAXC7Df3fGYdmeeKlDISKqFkyYiOqYW3fzsPrgZUzoHwa5jBXxiKh2ad7ADa8/1RJC8DkmIrIMTJiI6pC8giIs+P0MJvQPg70tK+IRUe3j6+aAri3rSx0GEVG1YcJEVEdotFrM2XwaL3YLgY+rvdThEBEREVkFJkxEdcSSXefRuYUfQhu4Sx0KEVH5eMswEVkIJkxEdcDvJ5LgoFLiyVYNpA6FiIiIyKowYSKq5U5dTUds0l2M7BIsdShERBXHog9EZCGYMBHVYjfv5GHNkQS8y4p4RFTXcJ9FRBaCCRNRLZWTX4QF285gYv9w2NkopA6HiKhyeIWJiCwEEyaiWqhYc78i3svdQ+HlYid1OERERERWiwkTUS303a44dGtVH8H13aQOhYiIiMiqMWEiqmU2xyTC1UGFLnzxIxEREZHkmDAR1SInrqQh/mYmnu/UVOpQiIiqTPA5JiKyAEyYiGqJa+m5WHf0Ct7u2xoyVpciojpOIZdBo2XCRER1HxMmologO78QC7efxcQB4VCxIh4RWQClQo5ijVbqMIiIqowJE5HEijVazNl0Gq/0aA5PZ1bEIyLLoLJRoKBII3UYRERVxoSJSEJCCCz+4xx6hjdEMz9XqcMhIqo2KhsF1EYSpiKNFgkpWRJERET0cJgwEUloc0wivJzt0Km5n9ShEBFVKxulHGnZBfr/CyFw7vpdfLnxFGasOylhZERElaOUOgAiaxVz+TYuJmdh0oBwqUMhIqp29d0dcTsrHwAQdyMD+87eBAAMbBeANYcTpAyNiKhSmDARSeBaWg42/JWIT4ZFsCIeEVkkH1c7xFxOQ0JqNjJy1egV3hBtAr3+fywTJiKqO5gwEdWw7HuFWLjjHD4Y1Aa2SlbEIyLL5Opgi4SUbLzaszlCGrhBzpNDRFRHMWEiqkFFGi1mbz6N13q2gIcTK+IRkeUKqe+GeaMf51V0IqrzmDAR1RAhBBZtP4uoNv4IqucidThERGZVVqLEFIqI6hJWySOqIRuOX4WfuyM6hNaTOhQiIiIiqiAmTEQ14PilVFy9nYNhHZpIHQoRERERVQITJiIzS7ydgy1/J+HNPq14Lz8RERFRHcOEiciMMvPUWPzHOUwaEM6KeERERER1EBMmIjMpLNZgzubTeL1XC7g5qqQOh4iIiIgeAhMmIjMQQmDh9rPoF9EYgb6siEdERERUVzFhIjKDtUevoJGXM9oH+0odChERERFVARMmomp29EIqbtzNw5D2gVKHQkRERERVZLEJ07Vr1/Cf//wHHTt2hLu7O2xsbODr64s+ffpg7dq1ZbY9fvw4Bg4cCG9vb9jb26Nly5aYMWMG1Gp1me2Sk5MxduxYNGrUCCqVCo0aNcLYsWNx69atMtup1WrMnDkTLVu2hL29Pby9vTFw4EAcP3680utN0rqSmo1tJ5MwPooV8YiIiIgsgUUmTH/++SeCgoIwc+ZMdOvWDbt27cL58+exaNEiXL58GUOHDsVzzz0HrVZbqu3q1avRsWNHpKamYv369Th79izGjBmD6dOno1OnTsjNzTW6zLi4OLRu3RqbNm3C/PnzER8fj/nz52Pjxo0ICwtDXFyc0Xa5ubno1KkTPvnkE4wZMwZnz57F+vXrkZqaio4dO2L16tXVum3IfDJy1fjvzjhMeroNbBQW+dUiIiIisj7CAm3YsEEAEF9//XWpcTdv3hTOzs4CgFiyZInBuMuXLwuVSiV8fHxERkaGwbiZM2cKAOLll18uNc+ioiIRGhoqAIjDhw8bjDt06JAAIJo3by6KiopKtX3ppZcEADFz5kyD4RkZGcLHx0eoVCqRkJBQ0VUXQgiRlZUlAIisrKxKtasuGo1GJCcnC41GI8nypaAuKhaTfzouEm9nSx2KRbDGPkTVi32odpv6819Sh1Am9h+qKvYh85HiONdiT4MrFAqMGjWq1PD69eujf//+AIBff/3VYNxnn30GtVqNF198EW5ubgbjxo0bB5VKheXLl+PatWsG437++WfEx8fjscceQ4cOHQzGdezYEe3bt8f58+exZs0ag3FJSUlYsWIFVCoVxo0bZzDOzc0NY8aMgVqtxqxZsyq17lSzhBD4+vezGNguAI29naUOh4ioThBCSB0CEVGFWGTC1LdvX9y9excuLsbLOTds2BAAcPfuXf0wjUaD9evXAwC6d+9eqo2rqysiIyOh1WpLPQP122+/mWwHAD169ACAUgnTunXroNVqERERAVdXV5Pt1q1bB41GY3TeJL01hxMQVM8FkU19pA6FiKhOUCjk0GiZMBFR3aCUOgBzsLGxgY2NjcnxycnJAIDWrVvrh128eBGZmZkAgNDQUKPtQkNDcejQIcTExBgM1xVnKKsdgIdul5GRgcuXLyMkJMTodGq12qAgRXZ2NgBAq9UafU7L3LRaLYQQkiy7ph2OT0Fq1j2M793SKta3plhTHyLzYB+q3RSy+y/3ltfS2jjsP1RV7EPmI8U2tciEqSzFxcXYtWsXABjcBpeQkKD/u169ekbb+vn5lZo2NzcXt2/frlC7lJQU3Lt3Dw4ODgbzMdWu5PCEhASTCdOsWbMwffr0UsPT0tJQUFBgtI05abVaZGVlQQgBudwiL2ICAJLS72HriVt4s2cQ0tLSpA7HolhLHyLzYR+q3bTFRTh+LhHN69fO25jZf6iq2IfMJycnp8aXaXUJ0/Lly5GSkoLXX38dkZGR+uG6qzIKhcLk1SldopOVlVWqHQDY29uX2U7XVvd/XVtT7RQKBVQqFdRqtcEyH/Thhx9iwoQJBjH5+/vD29vb5G2J5qTVaiGTyeDt7W2xO4m7OQVYd/IqJg95FC4OtlKHY3GsoQ+RebEP1W49HgHu5BTAx6d23srM/kNVxT5kPnZ2djW+TKtKmC5fvoxJkybh8ccfx7x586QOp9qoVCqoVKpSw+VyuWRfUplMJunyzUldpMG8rWcwvk9ruDnV/JfWWlhyH6KawT5Ue9mrlFBnaGv1Z8P+Q1XFPmQeUmxPq/kEk5OT0atXLzRt2hTbt28vlZ3qrsRoNBoUFRUZnce9e/cAwKBAQ8krOPn5+WW2M9XWVDuNRqN/NslYUQiqeUIILPj9DIY83gSNvJykDoeIqE6yUchRVMxnO4iobrCKhOnWrVvo3r07fHx8sGfPHqPJR1BQkP7vlJQUo/PRFYsoOa2Tk5P+loLy2tWrV8/g9jzdfEy1Kzm85DJJOqsPXkZoAzdENPGWOhQiojrLRiFHkYYJExHVDRafMCUlJaFz587w8fHB7t274e7ubnS64OBgfSIVHx9vdBrd8JLPPgFAu3btzNrOzc0NTZs2NToN1ZwDccnIyFNjQGSA1KEQEdVpvMJERHWJRSdMly5dQqdOnRAUFITt27fDyel/t1DFxsaid+/e+v8rFAoMHjwYALBnz55S88rKykJMTAzkcjmGDBliMG7o0KEm2wHA7t27DabTGTJkCORyOU6cOGG0qIOu3eDBg6FQKMpdXzKfi7cysefMTYzt1ULqUIiI6jxbpYJXmIiozrDYhOncuXPo3Lkz2rZti82bN5eqRHf37l388ccfBsMmT54MW1tbrFixolQCs2jRIqjVaowePRqNGzc2GDd8+HAEBwfj+PHjOHLkiMG4I0eO4NixYwgJCcHw4cMNxgUEBGDUqFFQq9VYvHixwbjMzEwsX74ctra2mDx58kNtA6oe6dkFiN4Tj0kDwqFUWOxXhoioxtjayJGTX4SCwmKpQyEiKpdFVsk7e/YsnnzySaSnpyMxMREdO3YsNY2xGu5NmzZFdHQ0Ro8ejaioKMyePRt+fn7YsGEDpk2bhoiICHz11Vel2tnY2GDdunXo0qULhgwZgkWLFqFt27Y4efIkxo0bBw8PD6xduxZKZenNvWDBAsTGxmLq1KmwtbXFoEGDkJycjEmTJiE9PR3ff/89n1+SUEGRBnO3nMbbfVrD2d70y5CJiKji7G2V2BV7A4G+zhjSvonU4RARlckiE6bdu3cjPT0dAHD69OlKtR05ciSaNWuGWbNm4emnn0Zubi4CAwMxZcoUvP/++yZrv7dq1QqxsbGYPn063n77bdy+fRs+Pj7o378/pk2bhgYNGhht5+zsjEOHDmH27NmIjo7GRx99BEdHR3Ts2BGHDh3C448/XrmVp2qjFQLzt8TimQ5BaODpKHU4REQWw8nOBp+PeAyXkk2/Y5CIqLaQCSGE1EFQ9crOzoarqyuysrIke3GtLmGsy+8e+HH/RXg6q9A3onH5E1O1spQ+RNJhH6r9LtzKxImENDzXqZnUoZTC/kNVxT5kPlIc5/ITJDJi39mbyFMXMVkiIjITpZylxYmobmDCRPSA+JsZ+PNcMl7t2VzqUIiILJaNQsbS4kRUJzBhIirhdlY+lu+9gElPh0PBS+hERGZjo1RgV+wN/H4iCfmslkdEtRiPCIn+X0Fh8f2KeH1bw8mOFfGIiMzJ01mFoHqu+HrbWaRk3JM6HCIik5gwEeF+Rby5W2Lx3BPN0MCDFfGIiMzNVqnAZ8+1w4jOzVCsZf0pIqq9mDARAfhh3wW0beKF8ABPqUMhIrIqCrkMGiZMRFSLMWEiq7f3zE0UFmsR9UgjqUMhIrI69xMmFn8gotqLCRNZtbgbGTgUn4KXe7AiHhGRFBRyOa8wEVGtxoSJrFZq5j38sO8CJg4Ig0IukzocIiKrxFvyiKi2Y8JEVim/sBjztsbinX5hcFSxIh4RkVSYMBFRbceEiayOVgjM3RyLEZ2D4efuIHU4RERWjc8wEVFtx4SJrM6KvRfQrpk3WjfykDoUIiKrp1TIodHwChMR1V5MmMiq7Dp9A0II9Ar3lzoUIiICIJfxljwiqt2YMJHVOHvtLo5fSsWL3UKlDoWIiP4fn2EiotqOCRNZhZTMe1h54CIm9A9nRTwiolpEIZchV12E344kSB0KEZFRTJjI4uWpizB/aywm9AuDg0opdThERFSCUiHHN9vO4pfDTJiIqHZiwkQWTaMVmLc5Fi90CYavGyviERHVNm2beOGHN59ES3/3Mqfb+NdVrDl8uYaiIiL6H55uJ4u2bM95PB7ii5b+rIhHRFQb2dsqYW9r+nAkM0+NBb+fgVwmg4+bfQ1GRkR0HxMmslg7/rkGpUKOHmENpQ6FiIjKofz/9zEp5P+7+WXn6ev449QNvBnVCg4qJX7lc05EJAEmTGSRYpPu4MSVdHw4+BGpQyEiogqwUSqgLtLCQSXH/rO3sPfsTTT2dsZnz7WDykaBjFw1ijR8wS0R1TwmTGRxbt3Nw+qDlzFtWATkMlbEIyKqC5zslDgUn4xD51Pg42qPj//VFrZKhX68jVKOomImTERU85gwkUXJKyjCgt/PYOKA8DLviSciotrF3ckOu07fwIzh968oPchGIUchEyYikgCPKMliaLRazNl8Gi92C4GPKx8MJiKqS0Z0boYRnZuZHG+jlPOWPCKSBMuKk8VYsus8OrfwQ2iDskvTEhFR3SOXyQAhpA6DiKwQEyayCL+fSIKDSoknWzWQOhQiIiIisiBMmKjOO3U1HbFJdzGyS7DUoRARERGRhWHCRHXazTt5WHMkAe/2D2NFPCIiIiKqdkyYqM7KyS/Cgm1nMLF/OOyMVFQiIiIiIqoqJkxUJxVr7lfEe7l7KLxc7KQOh4iIakB6TgFy8oukDoOIrAwTJqqTvtsVh26t6iO4vpvUoRARUQ25nJKNg+eTUVBYLHUoRGRFmDBRnbM5JhGuDip0aVlf6lCIiKgGTRoQjgW/n8GOU9elDoWIrAgTJqpTTlxJQ/zNTDzfqanUoRARUQ1r1cgDz3QIglbL9zERUc1hwkR1xrX0XKw7egVv920NGSviERFZHT93B7QP8UVhsVbqUIjIijBhojohO78QC7efxcQB4VCxIh4RkdWyUchRpGHCREQ1hwkT1XrFGi3mbDqNV3o0h6czK+IREVkzW6WcV5iIqEYxYaJaTQiBxX+cQ8/whmjm5yp1OEREJDFbpQKFxRqpwyAiK8KEiWq1TTGJ8HK2Q6fmflKHQkREtQCvMBFRTWPCRLVWzOXbuJScheFPsCIeERHdZ6PkM0xEVLOYMFGtlJSWgw1/JbIiHhERGbBVKlDEK0xEVIOYMFGtk3XvfkW8SQPCYKtkRTwiIvofG4Ucf126LXUYRGRFmDBRrVKk0WLOplMY26slPJxYEY+IiAwp5DK08HeXOgwisiJMmKjWEEJg4faziHqkEYLquUgdDhER1VJKuQx3cgoghJA6FCKyAkyYqNZYf/wq6rs7okNoPalDISKiWiwxLQevfPsnsvOLpA6FiKwAEyaqFY5fSkXi7RwM69BE6lCIiKiWe75zM0QEefN9TERUI5gwkeQSb+dgy99JeLNPK1bEIyKicvUK94eXix3fx0RENYIJE0kqM0+NxX+cw6QB4ayIR0REFWarkKOwiFeYiMj8mDCRZAqLNZiz+TRe79UCbo4qqcMhIqI6xFapQCFfYEtENYAJE0lCVxGvX0RjBPqyIh4REVWOrVLOW/KIqEYwYSJJrD16BY28nNE+2FfqUIiIqA66nzDxljwiMj8mTFTjjl5IxY27eRjSPlDqUIiIqI6yUSpQxCtMRFQDmDBRjbqSmo1tJ5MwPooV8YiI6OGplHKoWfSBiGoAEyaqMRm5avx3ZxwmPd0GNgp2PSIieni2SgWfYSKiGsGjVqoRuop443q3hKuDrdThEBFRHWejlKOIVfKIqAYwYapFduzYgZ49e8LDwwOOjo5o27YtFi5cCK22bv8gCCHw9e9nMbBdABp7O0sdDhERWQCVjQK37uZJHQYRWQEmTLXEF198gaioKNjZ2WHXrl34559/0LNnT7z55psYOHAgiouLpQ7xoa05nICgei6IbOojdShERGQhPJ3tUMBnmIioBjBhqgUOHjyIDz74AC1atMD69esRERGB4OBgfPHFF3jllVewZcsWfPHFF1KH+VAOnU/G7ex8DGwXIHUoRERkQTydVTh6IVXqMIjICjBhqgU++eQTAMCbb74JGxsbg3ETJ04EAHz55ZfIz8+v6dCq5HJKFnaevoE3nmrJinhERFStHFU2aFqPLz4nIvNjwiSxtLQ07N+/HwDQvXv3UuNDQkLQsGFDZGdnY/v27TUc3cPLvFeE6N3xmDQgHEpWxCMiIjPIL3FLXpFGiyk//4UDccm4k1MgYVREZGmUUgdg7f7++29otVrY2NggKCjI6DShoaG4ceMGYmJiMHjw4FLj1Wo11Gq1/v/Z2dkAAK1WK0nBiHx1EZbuv4rxfcPgZKes80UrqOZptVoIIdh36KGxD1mHq6nZmPLzX7idlQ8PZztEBnlj9qZTUMhlmPNCeziqHu4wR6sVuJNdAI0yD3I575CgyrP0PuSgUsLZXpqqx1Ls15kwSSwhIQEA4O3tDbnc+JUYPz8/g2kfNGvWLEyfPr3U8LS0NBQU1PxZtrTsAnQJcoJKcw+3b/MsH1WeVqtFVlYWhBAmvxdEZWEfsg7D2tVHsK8TLqTkonOIFwCguIM/HFVKbDx68aHnKwSgLlRDZXsbvKOcHoal96Hm9V0QEeAmybJzcnJqfJlMmCSmuxpkb29vchoHBwcAQFZWltHxH374ISZMmGAwT39/f3h7e8PFpebv7/by0sLLWVVmEkhUFq1WC5lMxj5ED419yDoM8blffbV1s/8N+9f/D4uqwny1Wi3S0tLYf+ihsQ+Zj52dXY0vkwmTBVCpVFCpVKWGy+Vyyb6kMplM0uVT3cc+RFXFPkRVwf5DVcU+ZB5SbE9+ghLTXQEqqwLevXv3AACurq41EhMREREREd3HhEliukIPaWlpJh9iS05ONpiWiIiIiIhqBhMmiUVEREAul6OoqMhkUYf4+HgAQGRkZE2GRkRERERk9ZgwSczHxwddunQBAOzZs6fU+AsXLuDGjRtwdnZG7969azo8IiIiIiKrxoSpFpg2bRoAYOHChSguLjYYN3fuXADAe++9p6+WR0RERERENYMJUy3QpUsXzJw5E+fOncOgQYNw8uRJXLx4ER988AGWLl2KPn364MMPP5Q6TCIiIiIiq8OEqZaYPHkytm3bhvz8fHTr1g2PPPII/vjjDyxYsACbN2+GUskK8ERERERENY1H4bVIVFQUoqKq8qo9IiIiIiKqTrzCREREREREZAITJiIiIiIiIhOYMBEREREREZnAhImIiIiIiMgEJkxEREREREQmMGEiIiIiIiIygWXFLZAQAgCQnZ0tyfK1Wi1ycnJgZ2cHuZw5OVUe+xBVFfsQVQX7D1UV+5D56I5vdce7NYEJkwXKyckBAPj7+0scCREREdH/tXfnUVHX+//AnwzLzMgmIItAgugFhOuKlNY3NberqGlqpWk30DATvWWu99g9loqZ15tXu6Z5FJdEvUfJNrdCMUW9gpq5oKAsEjKoBbIoCsLr90dnphnmM7gwgvV7Ps75nCPv9/v1eb/fn3kJ8575LETWV15eDldX10bpy0Yac3lGjaK2thaFhYVwdnaGjY1No/dfVlaGJ554Aj/99BNcXFwavX/6/WMOUUMxh6ghmD/UUMyhR0dEUF5eDl9f30b79o7fMP0BqVQq+Pv7N/Uw4OLiwl8S1CDMIWoo5hA1BPOHGoo59Gg01jdLejypkoiIiIiIyAIumIiIiIiIiCzggomsTq1WY+7cuVCr1U09FPqdYg5RQzGHqCGYP9RQzKE/Ft70gYiIiIiIyAJ+w0RERERERGQBF0xEREREREQWcMFERERERERkARdMRETU5KZOnQobGxsEBgY29VCIiIhMcMFEVrNnzx7069cP7u7ucHR0RJcuXfCf//wHtbW1TT00sqL8/HzMnz8fzzzzDNzc3GBvbw9vb29ERUVh+/bt9cYeO3YMw4YNg6enJ7RaLcLDw7FgwQLcuXOn3jidToeJEyeiVatWUKvVaNWqFSZOnIjCwsJ64+7cuYP4+HiEh4dDq9XC09MTw4YNw7Fjxx543vToHDt2DMuXL7/vtswh0rt58yY++OADREZGonnz5mjWrBmCgoIwdOhQfPrpp4oxzCECgLy8PEydOhUdOnSAm5sbNBoN2rZti4kTJyI3N9diXGZmJsaOHYuWLVtCo9GgTZs2mDFjBkpLS+vtr7S0FDNnzkTbtm2h0WjQsmVLjB07FpmZmfXG1dbWYsWKFYiIiICjoyPc3d3Rr18/7Nmz56HmTQ9JiKxg0aJFAkAGDx4sx48fl8zMTJk5c6YAkCFDhkh1dXVTD5Gs4MCBA2JnZydqtVreffddSU9Pl4sXL8q2bdvkT3/6kwCQ0aNHS01NjVlsYmKi2NraSrdu3eTgwYNy6dIlWbJkidjZ2UlkZKSUl5cr9nnu3Dnx8PAQHx8f2b59u+Tk5Mj27dvF29tbPDw85Ny5c4px5eXlEhkZKXZ2drJkyRK5dOmSHDx4ULp16ya2traSmJho1WNDD+fOnTsSHh4urVq1EgASEBBgsS1ziIxlZWVJQECAdO3aVXbs2CE5OTly/vx5+de//iVqtVr8/PzMYphDJCKyb98+0Wq1Ym9vLwsXLpTTp0/L+fPnZcWKFeLi4iJOTk5y9OhRs7iUlBTRarUSEhIie/bskZycHElISBAnJycJCgqSwsJCxf4KCwslKChInJycJCEhQXJycmTPnj0SEhIiWq1WUlJSFOOqq6tlyJAhAkBmzZolmZmZkp6eLoMGDRIAsmjRImseFqoHF0zUYAcPHhQAEhYWJlVVVSZ1sbGxAkAWLFjQRKMja9qxY4cAkOXLl5vVXblyRZydnQWArF692qTu0qVLolarxcvLS0pKSkzq4uPjBYC8/vrrZvusrq6W0NBQASCHDx82qUtNTRUA0q5dO8UF+fjx4wWAxMfHm5SXlJSIl5eXqNVqyc7Ovt+p0yMyd+5cad68uWzevLneBRNziIxVVFRIYGCgREZGSmVlpVl9fHy8dO7c2aSMOUR6HTp0EAAyZ84cs7rVq1cLAOnQoYNJeUlJibRo0UI0Go3Za5aYmCgApG/fvor99e3bVwCYLZCzs7NFrVZLixYt5MaNG2Zx8+fPFwASGxtrUl5VVSVhYWECQA4dOnRfc6aG4YKJGqx3794CQFauXGlWd+HCBQEgLi4ucuvWrSYYHVnTjh07xNbWVkpLSxXrX3nlFcU/GuPGjTN8QlbXjRs3RK1Wi0qlksuXL5vUbdy4UQDIU089pdhft27dBIBs2rTJpDwvL09UKpWo1WrFP0KzZ8+2+OaIGs/Zs2fFwcFB1qxZIykpKfUumJhDZGzOnDkCQPbu3XvfMcwh0tNqtQJAvvnmG7O6M2fOCAABID///LOhfN68eQJAXn75ZbOYmpoa8fX1FQCSmppqUqf/UNnX11fx7ItRo0YpfrB88+ZNw4eQ58+fN4tbtWpVvYs0si5ew0QNcv36dRw4cAAA0KdPH7P6kJAQ+Pv7o6ysDLt3727k0ZG1DRo0CMXFxXBxcVGs9/f3BwAUFxcbympqavD5558DUM4RV1dXREZGora21uwaqG3btlmMA4C+ffsCAP773/+alCclJaG2thYRERFwdXW1GJeUlISamhrFfdOjVVtbi/Hjx+P//u//MH78+HrbMofIWE1NDRISEqBWq9G7d+/7jmEOkV7Hjh0BABkZGWZ1+jIbGxtoNBpDeX15oFKpDLlYNw/0cb169YJKZf6221L+7NmzB+Xl5fD19UVoaKjFuJSUFFy/fl1pmmRFXDBRgxw/fhy1tbWwt7dHmzZtFNvo/6Onp6c35tDoEbC3t7e4WAJ+vSgaANq3b28oy8rKwo0bNwBA8Ze+cXndHNFfFP2o4kpKSnDp0iXlydAjtWzZMpw+fRqrV6++Z1vmEBk7e/YsdDodAgMDUVZWhlmzZiEsLAzu7u5o06YNoqOjce7cOZMY5hAZW7lyJfz8/LBgwQJs27YNlZWVqKqqwnfffYd33nkHANCzZ084OjoC+PXmIvqcelR5cO7cOVRWVt53XFBQEBwcHFBTU4OTJ0/ee9LUIFwwUYNkZ2cDADw9PRU/OQGAli1bmrSlP6a7d+/iu+++AwDExcUZyo1fdx8fH8VYpRypqKjAtWvX7iuuqKgIt27dMuvTUpxxOfOy8eXm5uLdd9/FvHnzLH7QYow5RMZOnz4NAKisrERERATOnz+PlStX4tChQ5g+fTq++OILRERE4OuvvzbEMIfIWKdOnZCZmYkZM2Zg3LhxcHR0hFarRf/+/XHlyhV07NgRCQkJhva5ubmGO/4+SP4Y/3yvuNraWpO7890rzsbGBt7e3op9kvXZNfUA6PetrKwMAKDVai22adasGQDc85ab9PuWkJCAoqIivPnmm4iMjDSU63PE1tYW9vb2irFKOaKPAyznlz5OH6v/+V55aWtrC7VajTt37jAvm0BsbCzatWuHqVOn3ld75hAZ059+lJ+fj86dO+OLL74wfGAXHh6OwMBAREVFYezYscjOzkaLFi2YQ2SipKQE0dHR+OabbzBt2jS8+OKLUKvVOHjwIIqKijBt2jS4ubkZ2j9IHtR9Le+VB3Xz537j6uuTrI/fMBFRg126dAnTp09H9+7d8dFHHzX1cOgxtnbtWnz//fdYu3YtbG1tm3o49Dtk/C3O5MmTzc5uGDhwIIKDg1FWVoYNGzY09vDoMSciGDBgAL766ivMnj0bixcvRmRkJDp06IDJkycjIiIC7dq1w86dO5t6qPQY4YKJGkR/PYvxebd16f+4KV30Sr9/Op0O/fv3R9u2bbF7926Ti2SB33KkpqYG1dXVivtQyhHja6Us5ZfxGyelWEtxNTU1hodUMi8bj06nw/Tp0zFz5kzDRdf3gzlExow/cQ8LC1NsExERAQBIS0sDwByi3+zfv9+QF9OmTTOrf+GFF+Di4oJhw4bhhx9+APBgeVD3tbxXHjxs/tTXJ1kfF0zUIPrrD65fv244v7cu/Y0A7udaBfp9KSwsRJ8+feDl5YV9+/Yp/tI2ft2LiooU96OUI05OTvDy8rqvOB8fH5PTGvT7sRRnXM68bDzffvstbty4gaVLl8LJyclkGzhwIIBfT7MyLgeYQ2RKf80HALi7uyu2cXZ2BvDrqVcAc4h+c+LECQCAt7e3xfwJDQ3F3bt3sWbNGgBA69atYWNjA+DB8sf453vFqVQqBAYG3neciODq1auKfZL1ccFEDRIREQGVSoXq6mqLFx1euHABAEyua6Hfv8uXL6NHjx7w8vJCcnKyyfnexoKDgw0LKX0u1GUpR5588slHGte8eXO0bdtWsQ1Z3/Dhw3Hx4kWcPn0ap06dMtn0b0x8fX1NygHmEJnq3Lmz4d/6N4x16cv1v5eYQ1SXfgGkRH+aZ0FBAQDA0dER4eHhAB5dHoSHh5ssuO8Vl5OTg6qqKqhUKnTp0sXiXMg6uGCiBvHy8kLPnj0BAPv27TOrz8zMREFBAZydnTFgwIDGHh49IhcvXsSzzz6LNm3aYPfu3YZvAoBf72Bl/Frb2tpi+PDhAJRzpLS0FOnp6VCpVBgxYoRJ3YsvvmgxDgCSk5NN2umNGDECKpUKJ06cULwYVh83fPhwXkfTiJydndG2bVvFzc/PDwBgZ2dnUg4wh8hUu3btEBwcDAD48ccfFdvon6Xz9NNPA2AO0W/0uVNUVGTxZgmZmZkATO9QV18e1NbWYv/+/Sbt6sYdOHBA8UwcS/kzYMAAODk5obCwUHHRpI/r1asXPD09FedBVtTUT86l378DBw4IAAkPD5fq6mqTutjYWAEg8+bNa6LRkbWdPXtWfHx8ZOjQoXL79m2z+pSUFKn7q+XixYvi4OAgXl5eZk+8j4+PFwAybtw4s31VVVVJcHCwAJDDhw+b1B0+fFgASEhIiFneiYjExMQIAFm4cKFJeUlJiXh5eYmDg4NcunTpvudNj5Y+bwICAhTrmUNkbMOGDQJAwsLCzF67nTt3CgDx8PCQkpISQzlziEREbt68Kd7e3hbfm+zevVsACADZu3evoby4uFg8PDxEo9FITk6OSUxiYqIAkN69eyv2+dxzzwkA2bx5s0l5dna2qNVqs1zVe//99wWATJgwwaS8qqpKwsLCBIB8//339zt1agAumMgq9H9sBg8eLCdOnJDMzEyZNWuWAJCoqCjFPyT0+3PmzBlp0aKFAJCOHTtKRESE2aZ/Y1HXxo0bRaVSSffu3SU1NVWys7NlyZIlYmdnJxEREVJWVmaxT3d3d/Hx8ZGkpCTJzc2VpKQk8fHxEXd3dzlz5oxiXFlZmURERIidnZ0sWbJEsrOzJTU1Vbp16yYqlUo2btxo1WNDD+fatWui0+kkKSlJAIi/v7/odDrR6XRSXl5u0pY5RMb0H8gNGTJE0tLSJC8vTzZu3CgtWrQQFxcXSUlJMYthDpGISHJysjg6OoqdnZ3Mnz9fzp8/Lzk5ObJmzRrx8PAQADJlyhSzuH379olGo5GQkBDZu3ev5OTkSEJCgjg5OUlgYKBcuXJFsb8rV65IYGCgODk5SUJCguTk5MjevXslJCRENBqN7Nu3TzGuurpaoqKiBIDMnj1bsrKy5Pjx4zJo0CABIPHx8VY9LmQZF0xkNbt27ZI+ffqIq6urNGvWTDp16iTLli2Tu3fvNvXQyEqWLl1q+OTtXpuSo0ePyvPPPy8eHh6iVqslNDRU3n//famsrKy334KCAomNjRV/f39xcHAQf39/iY2NlYKCgnrjKisrZd68eRIaGipqtVrc3d1lyJAhcuTIkYc+BmRdAQEBFnNo7ty5Zu2ZQ2Rs69at0qtXL3F1dRUHBwdp3bq1vPnmm2bfABhjDpGIyKVLlyQuLk6Cg4NFo9GIvb29+Pr6yrBhw2Tnzp0W486fPy+jR48Wb29vQ8698847it8QGSspKZFp06ZJUFCQODg4iLe3t4wePVoyMjLqjbt7964sX75cOnXqJM2aNRNXV1fp06dPvWMk67MREbH2aX5ERERERER/BLzpAxERERERkQVcMBEREREREVnABRMREREREZEFXDARERERERFZwAUTERERERGRBVwwERERERERWcAFExERERERkQVcMBEREREREVnABRMREREREZEFXDARERERERFZwAUTEdH/hxYsWAAbGxvDtn79+iYZx+3bt03GERgYaJX9vvfee4/F/IiI6PePCyYiosdMcXEx3nvvPURGRsLV1RUODg5o2bIlunTpgldffRWffvopLly40KA+pk6dCp1Oh5deeslKo344Go0GOp0OaWlpVt3v9OnT7zm/+Ph4uLu7Y//+/Vbt25ry8vJMFn7G24EDB0za1l0kWnsRer+Sk5Ph7u6ODz74oFH7JSJ6VLhgIiJ6jGRkZCA8PBwfffQRhgwZguTkZGRnZ2P//v14++23cfz4cUycOBEjR45sUD+Ojo7w8fGBVqu10sgfno+PDzw9Pa26Tycnp3vOb/PmzSgpKcHnn39u1b6t6YknnjBbUKalpUGn0+Hpp582aatfJE6bNg0A0L17d+h0OqSnpzfqmHfs2IGSkhIkJiY2ar9ERI+KXVMPgIiIfhMbG4uioiJs3boVL7/8skldu3bt0L9/f3Tu3LmJRvfHMmPGDKxatQoxMTFNPRSLbG1t4ePjg9u3bxvKPD094ePjY9bWycnJsAGAg4ODYrtHbdy4cThx4gTeeOONRu+biOhR4IKJiOgxUVpaiiNHjgAABg4cqNjGx8cHL7/8MpKTkxtzaH9I0dHRiI6Obuph/OFERETgf//7X1MPg4jIanhKHhHRY6K2ttbw7ytXrlhs949//ANJSUmKdbdu3cLChQvRqVMnODo6QqvVIjQ0FDExMdi1a5dJH3Wlpqbiueeeg7OzM1xcXDB48GBkZmZabJ+Xl4cJEyYgICAADg4O8PT0RFRUFPbu3Wsx5scff8TQoUPh5uYGR0dHdO3aFRs2bLDYvkWLFhavxYmOjja5VicvL8/ifowdOHDAJM540ZSammpWV1BQgFdeeQUtWrSAVqtF165dsWvXrnqPy9ixY+Hl5QWNRoPg4GD84x//wK1bt5r02iJjxcXF+Pvf/46wsDBotVq4urrimWeewZo1a1BTU2PS9vXXXze7dmr37t3o2bMnXF1dTcrrm5+la6yMNy8vL7OxFhQUYPLkyWjTpg00Gg3c3d3Rt29fxf8Dffv2NcuJtWvXokOHDtBoNPD29sYbb7yB8vJyqx5PIvqDEyIiemz4+voKAOnZs6cUFRU9UOzVq1elQ4cOYm9vLwsXLpTMzEw5d+6cLF++XFxcXASAfPHFFyYxr732mgCQmJgY+ctf/iLHjh2TzMxMWbx4sdja2oqfn5+Ul5eb9XXo0CFxdXUVT09P2bRpk2RlZcl3330n3bp1EwCyaNEis5iUlBTRarXi5uYm69atk9zcXElPT5cXX3xRxo8fLwAkICDAbE5paWmKdTdu3BCdTif+/v4CQHJzc8361M9v3bp1hrI7d+6ITqeTf//73wJAXnvtNUNdVVWVSd2gQYPkmWeekW+++UZycnJk27Zt4u7uLra2tpKenm7W37lz58TDw0PUarUsXbpUsrOz5fTp0zJp0iTp1auXABAAotPp5Nq1a+YvogW5ubmGWKV5Gps7d64hh5RkZWVJq1atxMnJSVasWCHZ2dny448/yqRJkwSAREVFyZ07dwztS0tLRafTSffu3QWATJw4UXr37i2HDh2SnJwcmT9/vgCQlJQU0el0Fl+vuXPnyksvvSQ6nc5ky8zMFB8fH8W8OXLkiLi5uYm3t7ckJiZKbm6upKWlyciRIwWAxMbGmrQvLi42yYkJEybI3/72N8nIyJAffvhBxo4dKwBk6NCh93voiYiECyYiosfIqlWrDG+MtVqtjBkzRpKSkqSsrOyesQMHDhQAsnjxYrO6zZs3CwDZsWOHSbl+QeHm5iYVFRUmdcOHDxcA8tlnn5mUl5SUiLe3twCQo0ePmtRVVlZKy5YtRaVSSVpamqH81q1b4ufnJwDkyy+/NImpqamRzp07K77JFvltsaBUJyISEBDwQAsmvXXr1pktmOrWAZDDhw+b1C1btkwAyPjx483iunTpIgBk2bJlZnVDhw417PNBWWvBdPfuXWnfvr0AkC1btpjVjxkzRgDIjBkzzOp69uwpAMTPz08qKytN6oKDgw3HydLrNXfuXMVjPXr0aAEgffv2ldraWkP5jRs3pGXLlgJAjhw5YhJTU1Mjzz77rACQFStWmO1TnxP9+vUzKa+urhZPT08BIPn5+WZxRERKeEoeEdFj5I033sCKFSvg7u6OyspKJCYmYsSIEfDw8EDv3r3xySefoKyszCzu5MmT2L17N+zt7TFx4kSz+pEjR8LX1xf29vaK/b700ktwdHQ0KXvqqacAAKdOnTIpX7t2La5evYru3bujW7duJnUajQbR0dGora3FJ598Yijfvn07rly5Aj8/Pzz//PMmMSqVCnFxcZYPShMKCQkxuxudpeNy6NAhnDx5Eg4ODhg/frzZvqZMmWKVMYWHh5vc4KHutnDhQouxX375Jc6cOWO4Fq6uqVOnAgA+/vhjlJSUKO4jNjYWGo3GpCwzM9PsONU1YcIEvPfeeyZl69atw5YtW+Dp6YnPPvsMNjY2hrq1a9dCp9PhySefRPfu3U3iVCoV3nrrLQC/PlPM0qmm48aNM/nZzs4OERERAH49PZSI6H5wwURE9JiZNGkSfvrpJ2zatAkjR45E8+bNUV1djZSUFMTFxaFNmzb4+uuvTWK+/fZbAEBoaCicnZ3N9mlvb48rV65g0KBBin22bdvWrMzd3R0AzN446/vq2rWr4r6CgoIAAIcPHzaUff/99wBgeLNaV7t27RTLm9qDHBf9HENDQ80Wn4D15rhr1y6cOnXK4qa0YNYzfu2MFyd6nTp1goODA27fvo2DBw8q7uNh5+Hr62tyXVNWVhamTJlieLBw3Tv66cf65JNPKu5PX67T6XDmzBnFNg/y+hERWcK75BERPYaaNWuGMWPGYMyYMaipqcHhw4exdetWbNiwAT///DNGjRqFjIwMBAQEAAAuX74MAA/9PCMPDw+zMju7X/9E1L0JQH5+PgDg008/RUJCglmcvr3xjSsKCgrqHV9T3P76figdF/23dHWPS2PNMSAgoN4bRugXBEr0eaJ0cwXg19uYe3h4QKfTGdrWZY1nZlVVVWHUqFG4efMm3n77bURFRT3wWL29vU3aduzY0azNg7x+RESWcMFERPSYs7W1RY8ePdCjRw9Mnz4dXbt2RUlJCbZs2YLZs2dbpQ+lbxvuJS4uDpMmTXqgfYrIA/dzL49in3oPc1we5XgeBw9zTOqaOXMmfvjhB3Tu3BkffvihFUalzBpjJSLiKXlERI+RhQsX4tixYxbrg4KCMGrUKAAwuY22/pum69evP9LxGfclImjbtq3FrU2bNoYYf3//esdXVFRksT9bW1sAlr8R+Pnnnx9qHtbWkDk2Fv1rd/XqVcX6mpoa/PLLLyZtrW3nzp1YtmwZHB0dsXXrVjg4ODzUWI3LH9VYiYgALpiIiB4rq1evrvcZPwAMF9wbnxrVv39/AMCFCxcUnzFTWVmJAQMGYPXq1Q0eo76vtLQ0xXoRQb9+/TB9+nRDWc+ePQEAJ06cUIw5f/68xf5cXV0BKF9zotPpcOvWrfsb+COmn2NmZiYqKirM6uubY2PRv3bp6emKN0o4deoUqqqqoNFo0KNHD6v3X1hYaHju1ccff4zg4GCT+vXr1xuOnX6slj5A0Odfy5Yt0b59e6uPlYhIjwsmIqLHzMaNG1FaWqpYV1FRgR07dsDGxgYvvPCCobxLly4YOHAgqqursWrVKrO49evXY+/evejcuXODxzd+/Hj4+Pjg6NGjOHLkiFl9YmIikpOT0atXL0PZyJEj4efnh8LCQnz11Vcm7Wtra7FixQqL/bm4uKB169a4efMmLly4YFKndA1VU3n22WfRpUsXVFVVKY7r448/boJRmRo6dCj+/Oc/49q1a9iyZYtZ/dKlSwEAkydPhpubm1X7rq2txauvvmq4Bi8mJsasTUxMjOEbQ32eHT9+HKmpqWb7WrZsGQBgzpw5UKn4doaIHh3+hiEieozY2NggLy8P3bp1w7p165CRkYGCggKcPHkSq1evRteuXZGXl4f33nsPXbp0MYldv3492rdvjzlz5uDDDz/ExYsXkZGRgX/+85945513MGvWLERGRgL49RunoqIiVFZWAgBKS0tRVFSEmpoa1NTUoKioyLBoq9vW1dUVn3/+OVxdXTF06FCsXbsWOTk5OHv2LBYuXIjY2FhMmTIFgwcPNoxNq9Vi06ZN0Gq1iI6OxoYNG3D58mWcOHECo0aNgouLCwAY+i4uLjaZm/5aqejoaBw+fBh5eXlYuXIlTp48iVatWgH49VQ4/WlvFRUVivOrrKxEVVWV4vwqKiruOffr168bTrmr2xYAPvvsM3h4eGDWrFlYtmyZ4bhMnjy53psxWKLvw/g0P/08q6qqTNrq56z/hkY/T+NYW1tbJCUl4YknnjDcwj4nJwdnzpxBXFwcEhMTERUVhfj4eLP96vsrLi42m7eecX91X8tFixZh//79cHNzw5QpU3D27FmzzZg+z9zc3DBixAgkJibi8uXLOH78OEaNGoVDhw7h9ddfN7klvXEe64+Vfjz15TwRUb2a9ClQRERkorCwUFatWiWjR4+W8PBwcXFxEZVKJc2aNZPg4GD561//KqmpqRbjKyoqZMGCBdK+fXvRarXi7u4uTz/9tGzdutXkoaDGD2Y13nJzc00ekmq81X34a35+vkyaNEkCAwPFwcFBfHx8pFevXrJt2zaTvoydOnVKhgwZIq6urqLRaCQsLEwWLVokWVlZJn099dRTJnG1tbXy4YcfSlBQkNjb24u/v7/MmjVLbt++bXhIqX6rrq42PLxVaQ4pKSmKdXPnzr3n3Ov2BYUH3+bk5Mgrr7wiHh4eolarJTQ0VBYvXizV1dUCQGxsbO47HyyNB4CkpKSYtLU0Z6UH/v7yyy8ye/ZsCQkJEbVaLc7OztK9e3dZvXq13L179772q/QQWqV2+gfoBgYGWpxL3Rw0lp+fL3FxcdK6dWtxcHCQ5s2bS+/evWXbtm1m/esfVKw0//pynoioPjYif/Db+RARET0GysvL4eLiAjc3N7Nv0IiI6PHFU/KIiIisJDU1FXv27FGsy8jIAADF5wUREdHjiwsmIiIiK0lOTsZbb72F6upqszr9HQqVbnZARESPLy6YiIiIrCgrKwvDhw/HoUOHkJ+fj5MnTyIuLg4JCQkYNWoUXn311aYeIhERPQBew0RERGQl+fn52LRpE3bt2oW8vDxcv34dGo0GHTp0QExMDGJiYmBjY9PUwyQiogfABRMREREREZEFPCWPiIiIiIjIAi6YiIiIiIiILOCCiYiIiIiIyAIumIiIiIiIiCzggomIiIiIiMgCLpiIiIiIiIgs4IKJiIiIiIjIAi6YiIiIiIiILPh/Y+WxbUOo/hoAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='Inv', component='PSH_Power_stored',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n", - "plot_results.schedule(results=results_cost, y_axis='Inv', component='LiI_Power_stored',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "results_cost.output['Cap_P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='P', component='PSH',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='LiI',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='P', component='PV',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/LP.ipynb b/examples/publication/LP.ipynb deleted file mode 100644 index c81775b8..00000000 --- a/examples/publication/LP.ipynb +++ /dev/null @@ -1,3174 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Shell case study" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The hydrogen economy case study has been developed with the following considerations:\n", - "\n", - "1. Green H2 supply chain (renewables, storage and an electrolyzer) that delivers 100 kta at a fixed production rate (at every time step, the same amount of hydrogen should be delivered)\n", - "2. For renewables, we compare the results of the supply chain using i) solar, ii) wind iii) hybrid solar+wind\n", - "3. We consider a single time period (2023 - 2030) \n", - "4. We consider transportation (e.g. pipeline from Amarillo to Houston)\n", - " \n", - "Also shown\n", - "- a table with the cost assumptions (CAPEX)\n", - "- the assumed full load hours of the location\n", - "- the installed capacities resulting from the optimization\n", - "- cost breakdown of the investment. \n", - "\n", - "Technologies considered:\n", - "\n", - "1. Solar PV - Canadian Solar CS5P-220M with a ABB Micro Inverter\n", - "- Array performance model: California energy commission \n", - "- Angle of incidence loss: Not considered\n", - "- Spectral loss: Not considered\n", - "- Temperature model: Open rack \n", - "\n", - "2. Wind Mill - Vestas V100/1800, 92m hub height\n", - "- Wind speed model: logarithmic,\n", - "- Density model: ideal_gas,\n", - "- Temperature model: linear_gradient\n", - "- Power output model: power_coefficient_curve\n", - "- Density correction: True\n", - "- Obstacle height: 0\n", - "\n", - "3. PEM Electrolyzer - Hydrogenics bipolar PEM\n", - "- Rated production: 1Nm3/h\n", - "- Efficiency: 49.2%\n", - "- Specific energy consumption: 7.2 kWh/Nm3\n", - "- Hydrogen purity: 99.99%\n", - "\n", - "4. Lithium-ion battery\n", - "- Coulombic efficiency: 95%\n", - "- Active Li material: graphite\n", - "\n", - "5. Hydrogen compression \n", - "- Compress to liquid\n", - "\n", - "6. Pipeline transportation\n", - "- For liquified hydrogen\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "$\\mathcal{M}$ - set of materials m\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Mat^P_{l,p,m,t}$ - material m $\\in$ $\\mathcal{M}$ used by process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Em^{p/r/m}_{l,p/r/m,t}$ - emission from process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor\n", - "\n", - "$Mat^{cons}_{p,m}$ - material m $\\in$ $\\mathcal{M}$ consumed by process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$GWP^{p/r/m}_{l,p/r/m,t}$ - global warming indicators for process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a mulit-scale modeling and optimization MILP framework for the simultaneous design and schedule planning of a single location energy system \n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} (\\alpha \\times Capex_{l,p,t} + Fopex_{l,p,t}) \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{P}} Vopex_{l,p,t} \\times P_{l,p,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Mat_{l,p,m,t} = Mat^{cons}_{p,m} \\times Cap^P_{l,p,t} \\hspace{1cm} \\forall m \\in \\mathcal{M}, p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{r}_{l,r,t} = GWP^{r}_{l,r,t} \\times C_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{m}_{l,m,t} = GWP^{m}_{l,m,t} \\times \\sum_{p \\in \\mathcal{P}} Mat_{l,p,m,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{p}_{l,p,t} = GWP^{p}_{l,p,t} \\times Cap_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Mat_{l,p,m,t}, Em^{p/r/m}_{l,p/r/m,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from itertools import product\n", - "import matplotlib.pyplot as plt \n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on function fetch_nsrdb_data in module energiapy.utils.nsrdb_utils:\n", - "\n", - "fetch_nsrdb_data(attrs: List[str], year: int, lat_lon: Tuple[float] = None, state: str = '', county: str = '', resolution: str = '', get: str = 'max-population', save: str = None) -> Union[pandas.core.frame.DataFrame, tuple]\n", - " fetches nsrdb data from nearest coordinates (latitude, longitude)\n", - " or from county in a state matching a particular 'get' metric\n", - " \n", - " Args:\n", - " attrs (List[str]): attributes to fetch ['air_temperature', 'clearsky_dhi', 'clearsky_dni', 'clearsky_ghi', 'cloud_type', 'coordinates', 'dew_point', 'dhi', 'dni', 'fill_flag', 'ghi', 'meta', 'relative_humidity', 'solar_zenith_angle', 'surface_albedo', 'surface_pressure', 'time_index', 'total_precipitable_water', 'wind_direction', 'wind_speed']\n", - " year (int): year of choice, e.g. 2019\n", - " lat_lon (Tuple[float], optional): (latitude, longitude) to fetch closest data point. Defaults to None.\n", - " state (str, optional): capitalized state name, e.g. 'Texas' . Defaults to ''.\n", - " county (str, optional): capitalized county name, e.g. 'Brazos' . Defaults to ''.\n", - " resolution (str, optional): choose from 'halfhourly', 'hourly', 'daily'. Defaults to ''.\n", - " get (str, optional): Defaults to 'max-population'. From within county choose the data point that matches one of the following. 'max-population', 'max-elevation', 'max-landcover' 'min-population', 'min-elevation', 'min-landcover'\n", - " \n", - " Returns:\n", - " pandas.DataFrame, tuple: Dataframe with output data, (latitude, longitude)\n", - "\n" - ] - } - ], - "source": [ - "help(fetch_nsrdb_data)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['ghi', 'wind_speed'], year=2016, state='Texas', county='Harris', resolution='hourly', get='max-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col= 0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
dnidhiwind_speedghiair_temperaturedew_pointrelative_humiditysurface_pressure
2016-01-01 00:00:000.00.04.500.011.009.0088.8851020.0
2016-01-01 01:00:000.00.04.450.011.009.0089.4901020.0
2016-01-01 02:00:000.00.04.400.011.009.0089.6701020.0
2016-01-01 03:00:000.00.04.450.011.009.0093.1201020.0
2016-01-01 04:00:000.00.04.750.010.509.0096.4651020.0
...........................
2020-12-31 19:00:000.574.07.3574.519.2018.8097.6751001.0
2020-12-31 20:00:000.062.07.3562.016.1015.6096.8351001.5
2020-12-31 21:00:000.045.07.5545.012.9011.6092.1101003.5
2020-12-31 22:00:00231.046.07.0595.511.259.6589.8701004.5
2020-12-31 23:00:00135.022.06.8033.510.508.7088.8901006.0
\n", - "

43800 rows × 8 columns

\n", - "
" - ], - "text/plain": [ - " dni dhi wind_speed ghi air_temperature \\\n", - "2016-01-01 00:00:00 0.0 0.0 4.50 0.0 11.00 \n", - "2016-01-01 01:00:00 0.0 0.0 4.45 0.0 11.00 \n", - "2016-01-01 02:00:00 0.0 0.0 4.40 0.0 11.00 \n", - "2016-01-01 03:00:00 0.0 0.0 4.45 0.0 11.00 \n", - "2016-01-01 04:00:00 0.0 0.0 4.75 0.0 10.50 \n", - "... ... ... ... ... ... \n", - "2020-12-31 19:00:00 0.5 74.0 7.35 74.5 19.20 \n", - "2020-12-31 20:00:00 0.0 62.0 7.35 62.0 16.10 \n", - "2020-12-31 21:00:00 0.0 45.0 7.55 45.0 12.90 \n", - "2020-12-31 22:00:00 231.0 46.0 7.05 95.5 11.25 \n", - "2020-12-31 23:00:00 135.0 22.0 6.80 33.5 10.50 \n", - "\n", - " dew_point relative_humidity surface_pressure \n", - "2016-01-01 00:00:00 9.00 88.885 1020.0 \n", - "2016-01-01 01:00:00 9.00 89.490 1020.0 \n", - "2016-01-01 02:00:00 9.00 89.670 1020.0 \n", - "2016-01-01 03:00:00 9.00 93.120 1020.0 \n", - "2016-01-01 04:00:00 9.00 96.465 1020.0 \n", - "... ... ... ... \n", - "2020-12-31 19:00:00 18.80 97.675 1001.0 \n", - "2020-12-31 20:00:00 15.60 96.835 1001.5 \n", - "2020-12-31 21:00:00 11.60 92.110 1003.5 \n", - "2020-12-31 22:00:00 9.65 89.870 1004.5 \n", - "2020-12-31 23:00:00 8.70 88.890 1006.0 \n", - "\n", - "[43800 rows x 8 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "weather_houston" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "solar = solar_power_output(data= weather_houston[:8760], coord=coord_houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# for i in range(12):\n", - "# solar['PV_Power'].iloc[i] = 20" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\conversion\\windmill.py:42: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " data['pressure'] = 100*data['surface_pressure']\n", - "c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\conversion\\windmill.py:43: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " data['temperature'] = data['air_temperature'] + 273.15\n", - "c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\conversion\\windmill.py:44: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " data['roughness_length'] = roughness_length\n" - ] - } - ], - "source": [ - "wind = wind_power_output(data= weather_houston[:8760])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization \n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points.\n", - "\n", - "The demand is met on a daily basis" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 365, 24])" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['discretization_list', 'start_zero', 'scale_levels', 'scale', 'list', 'name'])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scales.__dict__.keys()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold).\n", - "\n", - "Power demand follows a varying deterministic demand" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True)\n", - "\n", - "O2 = Resource(name='O2', basis='tons', label='Oxygen', sell= True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=100, price=0.001, basis='tons', label = 'Water')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Processes" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex= 1.8*10**3, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'MW', label = 'PEM' )\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PEM.cost_dynamics" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1800.0" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PEM.capex" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Location" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjcAAAGdCAYAAADuR1K7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABRB0lEQVR4nO3de3gU1cEG8Hc3dy4JopKQgkjrBfGCCIqptrU1BRStKNbS0n5oqVgLrUjVlhbBohVBRQQRBJVLBUFaRUVEwi0RCAFCIvcQIJBAskkgl811s5fz/RGyZJNNMrs7s3PZ9/c8eR7YnZ05e3Z25t1zzswxCSEEiIiIiAzCrHYBiIiIiOTEcENERESGwnBDREREhsJwQ0RERIbCcENERESGwnBDREREhsJwQ0RERIbCcENERESGEq52AZTicrlQWFiIrl27wmQyqV0cIiIikkAIgaqqKiQmJsJs9q8NxrDhprCwEL1791a7GEREROSHgoIC9OrVy6/XGjbcdO3aFUBj5cTGxqpcGiIiIpLCarWid+/e7vO4Pwwbbpq6omJjYxluiIiIdCaQISUcUExERESGwnBDREREhsJwQ0RERIbCcENERESGwnBDREREhsJwQ0RERIbCcENERESGwnBDREREhsJwQ0RERIbCcENERESGwnBDREREhsJwQ0RERIbCcEOkUSdLq7E47STq7U61i0JEpCuGnRWcSO/ufTMVAFBRa8cLw/upXBoiIv1gyw2RBm0+Uuz+9/78chVLQkSkPww3RBr0hxX73P8WQsWCEBHpEMMNkcZl5JVh46EitYtBRKQbDDdEOvDHj/bD4XSpXQwiIl1guCHSiV+8s1PtIhAR6QLDDZFOHCmyql0EIiJd8DncpKWl4cEHH0RiYiJMJhPWrVvn8bwQAtOmTUPPnj0RExOD5ORk5ObmeixTVlaGMWPGIDY2Ft26dcO4ceNQXV3tscyBAwfwox/9CNHR0ejduzdmz57t+7sjIiKikONzuKmpqcGAAQOwYMECr8/Pnj0b8+bNw6JFi5CRkYHOnTtj2LBhqK+vdy8zZswYHD58GCkpKVi/fj3S0tIwfvx49/NWqxVDhw5Fnz59kJmZiddffx0vvfQSFi9e7MdbJFLP+Wob3tyUg4KyWrWLQkQUMkxC+H+hqclkwmeffYaRI0cCaGy1SUxMxF//+lc899xzAIDKykrEx8dj2bJlGD16NI4ePYr+/ftj7969GDx4MABg48aNuP/++3H27FkkJiZi4cKF+Oc//wmLxYLIyEgAwN///nesW7cOx44dk1Q2q9WKuLg4VFZWIjY21t+3SBSQ3yzZjV0nLyAhNhq7/3Gv5Ndd/fevvD5++rURchWNiEiT5Dh/yzrmJi8vDxaLBcnJye7H4uLiMGTIEKSnpwMA0tPT0a1bN3ewAYDk5GSYzWZkZGS4l/nxj3/sDjYAMGzYMOTk5KC83PsNzWw2G6xWq8cfkT8OF1aitMomy7p2n7oAALBY6ztYkoiI5CJruLFYLACA+Ph4j8fj4+Pdz1ksFvTo0cPj+fDwcHTv3t1jGW/raL6NlmbOnIm4uDj3X+/evQN/QxRyjlmsGDFvB27/92bVynDwbKVq2yYiMgLDXC01ZcoUVFZWuv8KCgrULhLp0J68MlnXZzKZfFr+VGk1Hnxnh6xl0AshBHbknkdZTYPaRSEinZM13CQkJAAAiouLPR4vLi52P5eQkICSkhKP5x0OB8rKyjyW8baO5ttoKSoqCrGxsR5/RL6SGkYq6+x4fu132HnivKzbP1QYut2p67LP4bcfZCB5TqraRSEinZM13PTt2xcJCQnYsmWL+zGr1YqMjAwkJSUBAJKSklBRUYHMzEz3Mlu3boXL5cKQIUPcy6SlpcFut7uXSUlJwfXXX4/LLrtMziITeZDazvLmphyszTyLMe9nqLJ9vTpaZMU7W3NRb3e2ei7l4mShbLkhokD5HG6qq6uRnZ2N7OxsAI2DiLOzs5Gfnw+TyYRJkybhlVdewRdffIGDBw/i//7v/5CYmOi+ouqGG27A8OHD8eSTT2LPnj3YuXMnJk6ciNGjRyMxMREA8Jvf/AaRkZEYN24cDh8+jDVr1uDtt9/G5MmTZXvjRACwfNdpbDp8aRyX1F6ks+V1kpbzNayYfezGUpLN4cSRQisCuKDSg9MlcN/b3+KNTcexYNsJWdZJROSNz+Fm3759GDhwIAYOHAgAmDx5MgYOHIhp06YBAF544QX8+c9/xvjx43H77bejuroaGzduRHR0tHsdK1euRL9+/XDvvffi/vvvx9133+1xD5u4uDhs2rQJeXl5GDRoEP76179i2rRpHvfCIQrUnrwyTP/iMMb/JxO5xVUAAJPEOKJUBNFQtsEflu/D/fO+xcd7vI9fq6q3+xR8hr51qbvp4LngD5p+/9tTeG7td3C5Oi7zJ/sKMGHlfq8tTESkfeG+vuCee+5p94BmMpkwY8YMzJgxo81lunfvjlWrVrW7nVtuuQXffvutr8UjkiTj1AX8avFu9/9//lYatj93j+RwIfdy7uV9W9wvO3LP47m13+G1UTfjnut7tLnct7mN44lWpJ/Gb4Zc5fHciZIqJM9Jw0+vvxJLn7hD0nZPlta4/y0hX8jula+OAgB+MSARP77uSgDA698cQ3mtHa8+fLPHsi/89wAAYPDVl+GJu/oGt6BEFDDDXC1Foenz7HPYd9r3K5ze3pLb6rFvDls8wsXGQ0Vtvt7Xq6CkCkbLzW8/yIDFWo/Hl+71eLzYWo/fLNmNrw+2/b6bfLQ7HwCwLae01XOVtXbUNXi2eHxXUOHxf7m6uvxRY3O4/71g20msysjHydJqr8uW19q9Pk5E2sZwQ7p1tMiKZ1Zn49FF6T6/1luImPn1MWxsNv7mjx/tx7kK72NrlOuWkn/NTpfAS18c7jC0zPjyCHadvICnV+7vcJ1tjQ2y1tsxYMYmDHx5k/uxHEsVHlqgnRnNvbUa2ewur8sKIeDsoJkpt7gKH+7IQ4PD+zqIKPgYbki3Apmvqa2xNdtbtES0dadiyd1SPsYgJULTF9+dw7JdpzsMLb5cpdT8/Zc3e92Ri5ey1zcLCy1bbQAgkIYbu7PjELFw+0k89l56qxYkAHB52bi3xwDgwNlK3DT9G7yztXVLX5Ofv5WGGeuP4MOdeR2Wi4iCg+GGdCn/Qi3G/yez1eMOpwsv/Pc7fJZ1tt3XSw0n3k56hwsr8c3hYi9LB06JlhupU0mY/TwaDHw5pf3A4eUttRUmOjIn5Tiu/efXHd7FedbGY9iTV4Y1e/NbPXekyIrhc9Ow+cilz7Ct4qQeL0Wd3Yk3Nh3vsGzZ+RUdLkNEwcFwQ7r0z3UHvT7+WdY5fLLvLJ5d850s2/F20ntwvr7uICz9CjDpwarlVURN41i8rcHbY75km9qGS2Nk5l0cK/XKV0ckvbbOS3fTwu0nccxShT+s2HepPFBvDBARyY/hhnSputmg0ObKa+W+AZy3LgwfXq6BS7ubNwa1f6WjtPVtPFSElRmeLSLthRVv43OkhokduefRf9o3eHXDUcnba05qC9G58jq8uuEozpb739XZ5OM9+fhkr/fL59dlncOPZ2/DMUvo3omaKBgYbkiX2joPS26lkHgmD/iiHo01CExcldXmc1Lr5O+ftm41a3qb3tbhbbVCNF5V5ehg/ExTC83itFMttte4xb2ny/DNYe+T6TZuR9oH8PTK/Vicdgq/fT8DywIYO1NZZ8eUTw/ihf8d8Lgqq8mkNdnIL6vFMx9n+70NIuoYww0ZivSBvtIEcj+WtzfnokHC4FelNQ8cX7VzxVRbdSIlHzSFCG/17+2xosp6DJixCSPmtd3FtyevDMcsVe2W6ZeL0vHUfzKRf8F7i4uvn9/pC7V46UtpXV7eNL9iqr2rp3KKq9psfSSiwDHckC611cog94DcQO7H8tbmjgehBoPUGgmk6lyicTB3arOrzZrqzlu3VP7FK91yir2HFwB47L22L/Fv2d306oajsDlaXxnVtFjmmfK2Cy8jc7O32lGX2G9lnpeMiC5huKGQJDWyaKxXSVGBzGslIPDBjjy802zOqEC69D7Y0X7XUMsWmY2HLXgv9VSrq7acQuD0+RqMWrjL/8L4oHm47qjVLtvLJfJEJA+GG9Kltk7DUu6BAkhvkfH3kuVg2n3qAhannWzzPZmDMahZAJ9nF3o8JLXuzlc3XqrefPGX17ffNeTtvW44WIR+L27EXz/xvFKuvdYhOdXZnXi0WYhKmrm1zTsfE5GyGG7IMLYeK8ZrXx9TuxhBtXRnHkYv3o1XNxxrc2CtUlNFNBdIBBz8ymZZynDMUgWnS+B/+z3vcRSsmdZTj5fi1Pkaj8c4+zmROhhuSJe8na+eX3sg+AWRwcyvj2L43DSP+7lIcbTIin81G/x6uo1BtcE4t7uE8Lqd0iobnlmd3eHrRRuvb898L/ODeROUlisi0hSGGzIMby0UZ8tr8dIXh3HmQo2XV3SsvEb+iRPLahrw0e4zqKxrXPd7qadwzFKF/2W2f1fllpq6c5qo2YXW1iX4HXUvNRHCtzE6352txJsp0gZsB6nhhog0hOGGDCPMy9489sM9WLbrNH6zxPPKFKkn0gmr9mPbsRIZSnfJuOV7MXXdIUxa7XnPmY4maGwpWN0tLW+411bdtSyOAGCx1kvchnKC0S1HRNrCcEO65K2lIMzLSexkaWOLTVuze0sxr51JE/2RdXEOom0tJun09QTfsqVGa2Ofl3x7CnvyyiQt60+3lFTBCoHefLr/HDLPSKsDX32ytwC7T11QZN1EesdwQ4bhyy90vc8lVGytx+8+2OPxWCD35Glpe07grVWzN+ZIXlZAuXCmdrvNqIXp2HJU3olWs/LL8cL/DmD04t3ILa7Cu9tPeJ0BnShUMdyQYSj1A11rLSKVdXY88m7r+7bIWc7Hl+6Vb2USaK2O5TZu+b6OF/JB000QAeDnb6Vh9sYczN2ijZtGEmkBww3pk9o/x1U0btler91sbeWDYAQHk8m3WcVbElCuW0pJRZX+d3fKLftidycRMdyQTunwPCibfW1MJRBoiJHardXWRJiBbVuhEKZgsrM7XUiauVWx9fsqkLd6+nwNxn64R/IYKSKtY7ghzXpnay7uem0riiVeceOLQFoZtKqtcUTBahHRY8tLIOrs2hrj4u3zb3m7gLb8aeV+pB4vbXc+LyI9YbghzXpj03Gcq6jDXIkTUPpycvVlQHGwhoME2sgQyAzmQNsDsqWUK9BgI4Txw9Hn2ecUXX/Lz+nd7Scw+JXNWJJ2CgDwzWELXl5/xOstBwo11L1GJIdwtQtA1BGHs/XBWImuEb0LNBsEcrVVwN1SEIb//KTcqTkQLauv6Wq1f284iriYCLzwv8Y7eN/0vVg8PLCXomUhUhtbbkjzvLVIBNqtpMVuKb20XCgRQowebIKhvTtUNwUbACi2SuuqItIzttyQ5un9njRSqX2CD+ROvo1XS/lPQD/hTquk7j/NQ9C2YyV+T01CpGUMN6R5Ug/aPDkGRtVuKaG/bimt7W7+VN8Ty1rfz+iTvQV47PbegReISEXsliLN89bcHtQgo7ezrloC/FCaJhIlP0ncTztarHkXFpFeMdyQ5n2eXYiK2ga1i6F5akawQMPmyox87DrJeZKCQc5pOoi0iuGGdGHCqv1qF0G3Ar+SSfltvPb1scBW0AaexluT+lnV251IPV6KersTlXV2VNWzZY30g2NuKCiEEJiwaj96dI3GS7+40efX7zzh+aue42taY5V4p9S+EsgA7CZpx0txvtqGR24L3qXZUgPf1HWH8N/Msxh+YwI2HrYAAE69ej/M5sDet8slkJpbilu+F4fLu0QFtC6itjDcUFAcLarChoONB8hxd/dF7+6dVC6RdEG7iZ9Crw/aHYqDsxmfmKDtIVP/92HjzO639u6G71/ZRfLrAglWUuvjv5lnAcAdbACgwelCtDnM720DwJp9BZjy6UFc0SUS+6b+PKB1EbWF3VIUFM3vivqj2dtwsrQ6oPVp8T41RP4qqfLt3jOBjJt5a/NxHDpX6ddrH5y/A9U2BwCgoKwW5TW+jYWrrLNjyqcHAQDnqzmOjpTDcENBYW6xp6UdL213eV/H2AghdB94tFr6EyXVHc5RJCBQc/GkpyUabrRR1VP/yfTrdbkl1Vi+6zRKqurxo9nbMPDlFPdzQgi8szUX23NK2nz9kyv2+bQ9IQTWHyjEqQB/DFHoYbihoGgZPLzNb9OkweHCVweKfN6G3m/2p3bp29v+Y4van1Bx5e585JbwBBQsgY73CWRwsN3pwtGiqlaPbz5agjc2HcfjS1vfO6eJr7OOpxwpxsRVWfjZm6k+l5NCG8fcUFC0bLlpr1VdynFbjwOKa2wO1QOMv06db/8utu9sOxGkkmiHmrtgoJdzK7EfniuvlX2dWQUVsq+TQgPDDQXE5RLIL6uFtd6OW3p1a3O5sBZppL15cIJx0vBpBnGZzgQ3Tv9GnhUpRId50TCCPuhZxu2dr7bhii5RKLLWy7fSi7hPkr8Ybshv1TYHkt9MheXiQW33lHuREBftsYwQAmcutP5F196x1Z/jrhAcZNySw+lCeJj0nme9tirRRT4kdjk/68GvbMbzw67He6mnZFxrIz220JI2cMwN+W3DgSJ3sAGAU+dbj7mY+fUx3PPGdszb6tlt0d6Ym2DQ8uXBcvjbfw/gxunfwFIp/6/pULXxkKXjhYLE65gbH3ZqIQTsTpds5Xn9mxzZ1kUkB4Yb8ltYi5t5eTu2Lk5r/DX35XeFsmxTCIG6BqfXg7vuBxTLmLjW7CuAzeHCf3aflj7xqGxbN6Y/fuTfFUZKCHRfqXe4cMe/N8tUGiLtYbghv4WHeZ4O/5d5Fg6Jvwb9bW6euCoLN0zbiNMdDHCVc/t6D01SGfFdrt13VpOXqPtje04J3tmaK0sIdroEymu1P50Cu5rJXxxzQ34zt0gIn2adw6dZ5/C/p3+IQX0u83u97R27vzrYeIl4fpnnOB4BYxwIlXgHco9b0NPEixZrPV78/LAi6w52LTRdYn1dfFfv3VI6HaBiqazHtpwSPDzwe4iO8Lz7sU7fEmkAW27Ib20deEYt3NXha3V0fgwqVov8OroBod4UVtR5f0LGL9Xr3ygzkak3v3hnB6Z8ehCzN3LcDsmH4YbIwIzQmkXBt2DbyaBsJ/NMmXvqiW1e7mzcfO89WmQNSpnIGBhuSBVsbg6OjsYLvbz+CJ5csQ8ula9e0wuluuRCZVxXS6MWXrrztde6bXaguO/tb1HX4AxGscgAOOaGVNHeOcKfA72S40CC2YUW7Mz3wY48AED22Yogb9l3gUwZoAQ9jT3Sgswz5e0+L6U2rfV2xEQGNis5hQa23BB1IJitTGqdLh1O6VsOdF4jfw16Rf1Ll5XKM752H+oxWEkZi9cRHb5tUgnDDZFReDnySz1pqn1TRSkaHPLddE5rSqrqMXPDUZy50PEtDrT/ScnHKJfxU/CxW4pUwTE32qKHcKMFStXSM6uzAQD/238W+6b+vMPl1Wo9U1LLbP7fzLPublMiX7HlhlTR7pgbP84gAsYITEq8Bbmb8vXYJaIEJWrhfHVDh8sYYDf3Kr+sFofOVQJonJD3ubXftVomVAdek+8YbsgwjHDONcBbIIVpYR9RKmA9MH8HAOCpNqa68PU7XlBWi/STFzjHWghitxSpwgitLHrBupZPY6sVK9TXgOVrt2fKkWIft9Da8l2nMf2LS3enPv3aiIDXSfrBlhtShRKtLDyJUyhoczfX6BfA5RJInpMqy7p8OWy89nXw7rJM2sNwQ21asO0Ehr6Vip0nznu9yZuW7n6rpS6pj/fk+z0LunZqlLxpvpuptc+1udkgFsiX/bSkyoa8ACe6bcLxXiQVu6XIq1c3HMXitFMAgDHvZ2DiT6/Bc8Ou91iGg/taK6yow5RPD/r1WiG0MZ6CqCNK7qezN8rT4qLRhiwKEtlbbpxOJ1588UX07dsXMTEx+MEPfoCXX37ZI3ELITBt2jT07NkTMTExSE5ORm5ursd6ysrKMGbMGMTGxqJbt24YN24cqqur5S4ueVFW0+AONk3e2XaiwzuM+sKoBx6rxu6iS8aw4WCR+996++r4+l1/d7s881rprZ5IXrKHm1mzZmHhwoV45513cPToUcyaNQuzZ8/G/Pnz3cvMnj0b8+bNw6JFi5CRkYHOnTtj2LBhqK+/NKJ9zJgxOHz4MFJSUrB+/XqkpaVh/PjxcheXvGhr8J8cdxhtIvel4EZgMql3QDZq2JSbGvtmjqUKf1q5/1IZgl+EVnzZXeSss6Z1cS406ojs4WbXrl146KGHMGLECFx99dV49NFHMXToUOzZswdAY6vN3LlzMXXqVDz00EO45ZZbsGLFChQWFmLdunUAgKNHj2Ljxo14//33MWTIENx9992YP38+Vq9ejcJC/8YykHRhZmmHLk2NudHEIT8waoa6UA2UAQlSnUm5a3EoOXOhBoNeScH8LbntLmfEGx2SdLKHmx/+8IfYsmULjh8/DgD47rvvsGPHDtx3330AgLy8PFgsFiQnJ7tfExcXhyFDhiA9vXGG2PT0dHTr1g2DBw92L5OcnAyz2YyMjAyv27XZbLBarR5/5B+J2SagQGHU406ggS+Q8+W8rSdwrqLOz+0KBhwJjBCig03u7/rMDcdQXmvHmynH5V0xGYrs4ebvf/87Ro8ejX79+iEiIgIDBw7EpEmTMGbMGACAxWIBAMTHx3u8Lj4+3v2cxWJBjx49PJ4PDw9H9+7d3cu0NHPmTMTFxbn/evfuLfdbCxnB+MWjpxOpllqoOvKXj7M8/i/nR7ktpwQr0k/Lt0IiH7U8bgghUG93uv+/dGce0o6XBrlUpEWyXy31ySefYOXKlVi1ahVuvPFGZGdnY9KkSUhMTMTYsWPl3pzblClTMHnyZPf/rVYrA46f1G5V8ffXsVLFVvLX+pRPD3j8P9D3cLLUv0H3V3SJ6vBzf2LpXr/WbSR6CuVG1Xw/Hbt0L9KOl+L6+K6oaXDgbHljy+Xp10bo6CcJKUH2cPP888+7W28A4Oabb8aZM2cwc+ZMjB07FgkJCQCA4uJi9OzZ0/264uJi3HrrrQCAhIQElJSUeKzX4XCgrKzM/fqWoqKiEBUVJffbCUlSDwpaatHQ62XUH+8pUHT9Uk/GnSLDeOL2Ebuo1NE83DS10uQUV3lZMEgFIk2SvVuqtrYWZrPnasPCwuByuQAAffv2RUJCArZs2eJ+3mq1IiMjA0lJSQCApKQkVFRUIDPz0vwiW7duhcvlwpAhQ+QuckjzdlMsKYfsgrJaTFi1v+MF26B265BWBXq6ZLWS1si5T/K4QVLJ3nLz4IMP4t///jeuuuoq3HjjjcjKysKcOXPw+9//HkDjeI5JkybhlVdewbXXXou+ffvixRdfRGJiIkaOHAkAuOGGGzB8+HA8+eSTWLRoEex2OyZOnIjRo0cjMTFR7iKHlAXbTiArvwJ/G349Nh0pxtzNx/Gr23vjlZE3+7QebzP2+kJPl4IHq4VKiZYAX04GPHHoXAh8gEJI/z4avzaoPbKHm/nz5+PFF1/En/70J5SUlCAxMRFPPfUUpk2b5l7mhRdeQE1NDcaPH4+Kigrcfffd2LhxI6Kjo93LrFy5EhMnTsS9994Ls9mMUaNGYd68eXIXN+S8/k0OAGDz0UsT0320O9/ncFNabZO1XEDj3X3//HEWHhvcy6/Xa+FgFuj5Rc33oLVQSW3zup8E6QNUfT/RwhedNE/2cNO1a1fMnTsXc+fObXMZk8mEGTNmYMaMGW0u0717d6xatUru4oWUzDPlyMovx+/v6guz1Ou7JQp0bd5CwL++PIzMM+Wy3glZDhxbQU2an9hVvS+RepvWDd7nJrRxbikDa7qjcI/YaDx4S0/868sjkl4n5aBtVuDAUVHLqQvUovqvcdINNTODmnfxJn3hrOAh4PVvjmHXyQtYtut0m8v8x8f7lwR6gPN2Mg3m+dWov+rKa+04r0CXITVSoxXP2xa97b01DU4vjxqLENK+u9tzSkJhCBK1g+EmBBSU1WHM+97v7Nzkxc8PI++89Nu8a+kycMD3lgdvV4m1RWvvtSOPLUpXuwikMG9774mSasySaUbtjvgUHFT4+jy+dG+rluDPs8/hD8v3oYqT24YEhhtyK6uR/os/4IGz+soLkgX6tuRoFzjlQ0gl/wWrDceXfWqhTDNqd0StbsxAuqWeWZ2NzUeLsXD7SVyotnHyTYNjuCE3p+viPyR85wPt1vF6cOSxRjWsemk4Nkl9gf4w2pZTikGvbMYTy3jHbSNjuCE3l09dNfILdDyDL4FLi2NuGu/hIS/tvUuSQ6jeMkCO78jRosZJlVOPl8LKLirDYrghN5/Cjca6pRpntebP6pZYI/LSSn1qpRxSaHnM2i0vbcIvF+1CXQgMxg41DDfk5ks20GDDhyHo6aQV6kI1TKt9Kbjc9p4ux5q9+cixVKHB4er4BaQLDDfUipTuoUB/jXm9FDw0zxWKkvopheqJWo+U6L5UgtMlcOBsBZwyD9xVYk9dvbcAw+amYeyHexRYO6mBN/EzKF/vW+MrmW94DECGSSM10Jyk5+kXqGMMgY2k7OezNx7De2mncG+/HsoXKEDHLI2ziqefuqBySUgubLnROW8H29IqG178/LCyGw7wLC77mBuec7w6X9OgdhFIZhrI8JK+b++lnQIAbDlWIuu2NfD2SQcYbnSsss6Ou2dtw/TPD3k8XtvgUHzbAd/PRYEw0jLozdmUI/9GdGZVRj4yTpWpXQzDEG38O6hlCPEgH+JvnyRiuNGxT/YW4FxFHZann/F4XInxMC0p0i0l81F73tYTsq5Pr746WNThMjxhkFSNUyCoXQqi9jHc6FhbB5hgHHiUGN9ihDE3esaA0zEttJpoYTfXQj0QtYfhRqeEEMi5OAhODR0dXytq2x/rIf99bvTPCO+BlKd2sFA7XCm9eU7LYAwMNzr1/rd5WJt5VrXtd3SAu3VGSrvPq32AVo6yh14lr9bRQIOArhh3H+6YmgFH6Wof+e5OhbdAwcBwo1OLUj0nyNuWI98VCVIOHkrcdTSYJwueyFsL4XO1dBqopI6CxeQ12XiYJ2i/HThbqch6q+rtyMov5+0EgoThRuOOF1fhxXWHUGKt93i85fiSJ5buRUlV/cXnglAwBaZf4FdePTze6kdHn9WnWeeQlV8RlLKQdA/M34GH392Frw9Z1C5KSGC40bj73v4W/9l9BpPWZHs8HublkztfFbr3NPH115Bez+VKhhC2ZnUs0MldKXSduVALAFh/oFDlkoQG3qFY45puXX7onGdTqbduoaaJLwO9aigYzaZeN6HR5oOm6nx3+wmY1R5NqSBt1j5pjUa/prrB+gsOhhudaDmA39t9ZtzhJgjlCXQbJ0uqIYRQ7fJtX7YqROPVX7M38qaAoa75iSlYrTg8F6rD5nAiKjxM9vV+fciCoso69IyLkX3ddAm7pTTMWm93/9vVIu57CwVNAUgPjQufZp3DihY3Hwz4PjcBvr49UmcLVrrulTvR8RRK0tidLnyRbeyulTc35eD6qRuReUaZu3v/9v0MRdZLlzDcaNhdM7e6/90y3Hgj9+y77ZHjJL5w+8mOF5JIQP+nZzZX68vJkpqgbEdrv1Xe3X5S1dtQBMP8i3c3f+Wro36vo6rZj9OWTpYGZ98JZQw3GlZluzRHVL3dhVUZ+ZJeF/D0CwG92pfteG5Jqyd3kwmSzjBCCF6lYnBNu+i5ijr8esluVcuiZUq1eASblGPSydJq/OvLwx5XtP7ry8O4+aVN2C7jLTrINww3OvKPzw5KWk4P3VKA/GFG0bctoaxrM8/iubXfKVkK3iNDI1oO8FeSt09c69/xUQvTFVu31r4Cv5i/A0t3nsafP85yP7Z052kAwGtfH1OpVMRwo1PeDm5aP+C11PIYdeaCvptq/6vjpnqtnTC0qilcqn3VXKh+XsF+31I2V9PgBAB8d7ai1XNShhOQMhhuVCKEQN75GrhcAi6X8Hm8jLfvjN6+Ry3La613eF/Qj3XJTmK3FIUGb1crKkVnv1kUF9Rc6cN32tuix4ur8dHuM62fIMUx3Kjkw52n8dM3tuOf6w7igfk78NM3tsPhlHZFTkf8/e6nHCmGzeHEgm0nZClHx4wVBjjfXuhQu5VU7e2TdFPXHVK7CCGJ4UYlb25qvGfKx3sKcKTIivyyWvSf/g3OV9sCX7mfB75lu05j1MJd7v7i9jcR+NHVaGEg0CZoKfdNMViV6U5T/Qfz/kw6ut9lUGj1vftarMVp8l0tSq0x3KjEW599g8OFtzfnqlCaSw6ds6q6fT3Tc1jTcdFVofaYm1AlIFB7cYxLcLbnu8OF0gabv7qBg42VxHCjkrb67OvtgX9xlZixu9U2ZNiErGNUtHB2DvD9BONzo8A0fcTB/KS4V1yycPtJbD5arHYxvLu4b4yYt6PVU3INOSDpGG4UdqTQiqnrDqK0yrO7ydxGutHzr39fGe69Bjqnl5RuKaPVGfklVBuOVu8tCOr25Pq+PTC/deAhZXFuKYXdP+9bAEBBWR2W//4OCCHgEm03a0ttzWjv4KaXmYtlv7rIhwN+qJ4cKDBa+W4x5GpPe/vGMUtVEEtCAMNN0BwpssJSWY9Ja7JQUFYHextzFUkdlKr2wU2WbqnAV+H3Cn2pvwNnK5FbXO17eXRE7f1JbxiOQ8PBc5U4XFiJGxPjOlyW3yFtYbgJktIqG+6cuaXD5Zyh9AWRdciNshX3908PKLp+qZR8n7xPj34wXAXPiHk78Os7emPmI7eoXRTyAcfcyGBOynHM2th65PuJkuA2RY5auAsFZbVB3WYgWp5Ke10Wo/g252/Jxf1vf4tqm283DCwoq1OoRKQrKuS/lptkBA2+j/d0PNZHqc+lrsEJl+EGKCqP4SZAtQ0OzNuSi4XbT7a6R03ynDSf1xfoD7IXPz+km6Nfy5aCgBsOJFTemynHcaTIiswz5QFuzHiCee8WIurYhWobbpi2EY8u2qV2UXSH4SZAzadNaGhjHI0vAj2/y3EpebDoJIMFjZRwp2TPEbulOqZGDbWMnIyg2uR0CRwplPc+YU2Xve/Pr5B1vaGA4SZAza96anm5t5HJcU8WWW9zI2CItKRW44lWrgKijvGT0q6mq2OlKq2y4dvcUuzIPe/1xzHvfeU/hpsANT8ZPbRgJw6dk3Z3Sjm325JeDn4tT6jsFVH3igt2S3VMjc+H0y8Y1x2vbsbvPtiD336QgZlfH229QLOv5Lqsc8ErmAEw3ASoZbL+b+bZANcnjdoHN3nuUBz4Ojzw3BwQdkvpA3dz42j+lVu+63Sr55t/1pPWZCPvfI3iZTIKhpsAtTzJBz55YujiuZWotZZhRoCtnEbk7fDXsjW15dCH/fnlWLDthHt6h6LKOpTVNChVRF3hfW4C1PKEzBO0OrRQ7XKcb1QbcyPYLSUFxyaRljzybuNVVN06ReCBWxKRNHMrAOD0ayPULJYmsOUmAEIIfPGdZz9ooC03cpxe9BqwAj23GuHU3NFnx6ul1HX6fPDvI9XyUzHCfk7SSP2sc4urcZpdVh4YbgLwzeFi/O1/Bz0eC/T0cKEmdK64khtPzaS0Xy/Z7fMNIOXG/Tx0+PKDz98fh0b9UcNwE4ADZytaPRbojrLzxAWs3pMf0DpCkVG/oKQ9pVW2oF6iy5aa0HHoXCXOXLjUAuNTuPFjT5m7+TjunLkFlsp6n1+rdQw3AfA2s7cc59jpXxzucBkOjzCmjj5XpcZ8MBv6hmNvQo/SA3WFAB6YvwM/eX27+zFfAktHx47ymgZszynxuPHs3M25KLba8PaWXF+Lq3kMNwEwe9mZAh1z02TDwaJ2n29vM6F64DVC3mPI0L5gtxJyl9CG215OQW1DcLskpf6IlbJPPjB/Bx5fuhcrM8749Xq9YbgJhELNJzaHC39auV+RdctFjitr2PpEeqVkt9S2nBLF1k2BOVuu3Ql0mx9PvYWVcxWNZf/6oKXVcwbMNgw3gfDWckPqMMjsCx13SxnhTeqc0pfMP7F0r+f2FN0a+SLY3z9f9rXmgbu9ScS9tewbsbWf4SYA3sbcaGEuEJ4A1aHJuzZL3a4BD25KMWITPulfRy03l56T9pjeMdwEwNu5LFROEupHuNa0WCZf8KRJ3nCvIF+1t894natMqYKoiOGGSEeCNTErtS1Yd3IWQqCoUrtjPEg55T5emdVySo52fycFkGQKymrx2Hvp2Hyk2P+VBAnDjcyC1S0VioNx//Vl25fIG6HRw2Qydfi5/mrx7uAUhtoUrBa2OSnHkTRzK97/9lRQtkcdC1bL/MCXU1BW0+DT2aT5uae9cnodcyPxbb3w3wPYk1eGP6zY50PJ1KFIuDl37hx++9vf4vLLL0dMTAxuvvlm7Nt3qTKEEJg2bRp69uyJmJgYJCcnIzfX8zr7srIyjBkzBrGxsejWrRvGjRuH6upqJYorq2Dt/O1fCq5PHZ3Yl+48HZRyqEUIod6YG73uNAY2f+sJAMDe0+Uql4TU8F1BhU/LS2258T7mRtoBQE+TcsoebsrLy3HXXXchIiICX3/9NY4cOYI333wTl112mXuZ2bNnY968eVi0aBEyMjLQuXNnDBs2DPX1l+6SOGbMGBw+fBgpKSlYv3490tLSMH78eLmLSxrCEyzpAScYpWAQEIq00Hu7F9uXBwolTSuipzGlss8KPmvWLPTu3RtLly51P9a3b1/3v4UQmDt3LqZOnYqHHnoIALBixQrEx8dj3bp1GD16NI4ePYqNGzdi7969GDx4MABg/vz5uP/++/HGG28gMTFR7mKTj3h8p1DG/T80BfMHmC/bCrRcdqfATdO/waLf3obhN/UMbGUaIXvLzRdffIHBgwfjl7/8JXr06IGBAwdiyZIl7ufz8vJgsViQnJzsfiwuLg5DhgxBeno6ACA9PR3dunVzBxsASE5OhtlsRkZGhtft2mw2WK1Wjz81aOFS8FCkp18UpH9qtzLyOGN8Su1j7d0D548ftX/zWD3td7KHm1OnTmHhwoW49tpr8c033+Dpp5/GX/7yFyxfvhwAYLE03h0xPj7e43Xx8fHu5ywWC3r06OHxfHh4OLp37+5epqWZM2ciLi7O/de7d2+531or3n69aeEkG4wBj0rs4oH+Gla7u0COrau/91BHtHDJvhaOM6EoqC03wduUZHra72QPNy6XC7fddhteffVVDBw4EOPHj8eTTz6JRYsWyb0pD1OmTEFlZaX7r6CgQNHtAer/eiOi4PvZm6k4WqROyzCFDiGE5JYSX0JHqJy2ZA83PXv2RP/+/T0eu+GGG5Cfnw8ASEhIAAAUF3teJ19cXOx+LiEhASUlnvOrOBwOlJWVuZdpKSoqCrGxsR5/auCl4P4LNCxq4Rd1IHRe/JDy7w1HVd2+nroHyD+BHA54LFEg3Nx1113IycnxeOz48ePo06cPgMbBxQkJCdiyZYv7eavVioyMDCQlJQEAkpKSUFFRgczMTPcyW7duhcvlwpAhQ+Qusqw0cSm4TnZsWQ/QOnnPRHLQU/cA+Ucvx3Gtkv1qqWeffRY//OEP8eqrr+Kxxx7Dnj17sHjxYixevBhA47iISZMm4ZVXXsG1116Lvn374sUXX0RiYiJGjhwJoLGlZ/jw4e7uLLvdjokTJ2L06NGaulLKiK0natL7mJtAmUz6b30ieZw+X6N2EUh1PBYEQvZwc/vtt+Ozzz7DlClTMGPGDPTt2xdz587FmDFj3Mu88MILqKmpwfjx41FRUYG7774bGzduRHR0tHuZlStXYuLEibj33nthNpsxatQozJs3T+7iBsTbeYjdUuQvNXMNM5W23PPGdrWLQCoTwv/jPFv2FAg3APDAAw/ggQceaPN5k8mEGTNmYMaMGW0u0717d6xatUqJ4hmC2icjvbeSEOkZx9yoI5ihYd+Zctzau5ukZYXw/WrNFemnfS2SrigSbkIFz+/yST1eioIy/ycJ5O8UCiX8Za6OYP6o/GBHHq7p0UXy8pKLJgRKq2yY9nnbc/V5K8vuUxfgcOpnv2O4CYDarSdqkjvXjf1wj8xrDD45WrNCeJciohZOlPg3n2JH56baho6nWmju5fVH/CqHmjgruE6x1YjkxJYAfWG3FLXEPcITw00A1LxDcSi3GhkVP1Ii8ocAjx8tMdwYUDCCj9ZajtQMe672JmvxwZyU47wEmIgCxqDDcBMQXgquLWpVycMLd8m2rplfH5NtXUQUOqQe/wRCo1uT4YYMQ61fK98VVKi0Zfmwm5NIv/j9bY3hJgBqtp60O/2CThol2fpE5DvexVo9eql67iMMN+Sjt1KOq10Er/QS6IhIv3ic0Q+GG51Sq9Xj7S25yLFUQYsXHqpdIrW3T6GBdwenQIRKow7DjU6puYNW1dvV27iG6fmYsevkBbWLQBKxyyF0tZ1rRTv/C00MNwqobXCoegBSetMmk7SWoxpb+3fBrG1w4uuDRTKVigIxa+Mx5PEydKJ2qZ0r1d6+njDcyCzvQg36T/sGf1q5X9HtqNsyLW3jP5+T2uEyT8tUT1r40uu9s+Bsuf9ze1HwsFuKAhUKuxDDjcz25JUBAL4+ZFG5JOorrKxXuwhEhsNuKfWoXfNthZKWuwR3EYYb3VJ75w2B4E9E5EHtYNne5kOhNcYXDDcGpPTXz2RS/xdMSxYrW4mIKHRJzV2hcjl7uNoFIP+omdK1+APhkXflmwKBiEiLJB/3QyO/tIstNzrFbilt+e37GXCq/aEQkaJafsPlmjRX8vbZLSUZW24MSOl+YV6t0dqOE+fVLgIRKazloVXOSXMDJblbKkR+g7HlRqfUzhdqb5+IKPg8k0GwJ82VfLUU+6UYbsh3zDVERMHHbinpGG50KlSaFomIyDdBHgqkSQw3BhSMS8FNbL8hohCj1R+VAsKjbPe9nQaH06VegTSA4SYAag6sZRMkEVFwqZ1tpB73i602HDhXqWxhNI7hJgBGnhyzPWy1IaJQpPaRr63jvgmmVsGnrbIKERo/jhluDIbBg8j4QuHkRNJ5uzpK7VYmtTHc6FSblwS26HsN5raJSHmvfHUUF6ptahcjJKkdGHjslY7hJgChfDO7EH7rRKp7Z9sJtYtAKtDqgGYtYrgJQKiOuSEidTl5ra8qjPCbTsqec/BsJR5blI7MM+WKl0cpDDeGpPyBjy03ROrhjxt1qF3twTjuvr05Fw++swN7TpdhlIaml/AVw00AtHgp+O5TZTh9vlaVbRMRkXJ8CbXt38247YP4W5uP+1Ai7WK4CYBWu6X+sGKfotuut7uw4aBF0W0QUdsu1DSoXQQiTeOs4OSzqesOqV0EIqKQ40+refrJC4gMD712DIabAGixWyoYjhZZ1ds4EVGIaq/F3ttz5TUN+PWS3S2WU3vkUHCEXpyTUajsJEREpK+rpaZ/cQhHQviHKMONDlXbHDhbXqd2MYiIKIh8abE/dM6Kpz/KVK4wGsdwo0O/X7pX7SIQEZHGWesdahdBNQw3OrTndJnaRSAiIo0Qwrd78Oipe81fDDdERERkKAw3REREElTW2fG/zLOosWmru4c3Vm2Nl4ITERFJ8IcV+yAEkHq8FLNG3aJ2cdx44W5rDDdEREQSNIWIL74rxBffFapbmBYYcDyxW4qIiCiEhEIOYrghIiIKEaHSwsNwQ0RERF4t3ZmndhH8wnBDRESkc0KhzqZ/fXlEkfUqjeGGiIgoRAiIkJgXkeGGiIiIDIXhhoiISOdCoDHGJww3REREISQUghDDDRERERkKww0REREZCsMNERGRjglI72oKhS4pgOGGiIiIDEbxcPPaa6/BZDJh0qRJ7sfq6+sxYcIEXH755ejSpQtGjRqF4uJij9fl5+djxIgR6NSpE3r06IHnn38eDoe2ppknIiJSm0ntAmiQouFm7969eO+993DLLZ5Twz/77LP48ssvsXbtWqSmpqKwsBCPPPKI+3mn04kRI0agoaEBu3btwvLly7Fs2TJMmzZNyeL6TI3mvWmfHwr+RomISLNCpKfJJ4qFm+rqaowZMwZLlizBZZdd5n68srISH3zwAebMmYOf/exnGDRoEJYuXYpdu3Zh9+7dAIBNmzbhyJEj+Oijj3Drrbfivvvuw8svv4wFCxagoaFBqSLrwor0M2oXgYiINMaX6RdCYdyNYuFmwoQJGDFiBJKTkz0ez8zMhN1u93i8X79+uOqqq5Ceng4ASE9Px80334z4+Hj3MsOGDYPVasXhw4e9bs9ms8FqtXr8Kc3EtkAiIiLNCVdipatXr8b+/fuxd+/eVs9ZLBZERkaiW7duHo/Hx8fDYrG4l2kebJqeb3rOm5kzZ+Jf//qXDKWXLhTSLxERGUeonLZkb7kpKCjAM888g5UrVyI6Olru1bdpypQpqKysdP8VFBQEbdtERER6EAqTZgIKhJvMzEyUlJTgtttuQ3h4OMLDw5Gamop58+YhPDwc8fHxaGhoQEVFhcfriouLkZCQAABISEhodfVU0/+blmkpKioKsbGxHn9KY7cUERFpgS+ZxZfxOXole7i59957cfDgQWRnZ7v/Bg8ejDFjxrj/HRERgS1btrhfk5OTg/z8fCQlJQEAkpKScPDgQZSUlLiXSUlJQWxsLPr37y93kf0WIgGYiIhIV2Qfc9O1a1fcdNNNHo917twZl19+ufvxcePGYfLkyejevTtiY2Px5z//GUlJSbjzzjsBAEOHDkX//v3xu9/9DrNnz4bFYsHUqVMxYcIEREVFyV1kIiIi3eIP7dYUGVDckbfeegtmsxmjRo2CzWbDsGHD8O6777qfDwsLw/r16/H0008jKSkJnTt3xtixYzFjxgw1itsmdksREZHehEIYCkq42b59u8f/o6OjsWDBAixYsKDN1/Tp0wcbNmxQuGSBCYUdhIiItI0/tFvj3FJEREQ65ttg4tDAcENERESGwnBDRESkc2y98cRwQ0REpAOzNx6D0xUK0SRwDDdEREQ6sPd0Of6XeVbtYugCww0REZFOnK2oC3gdoTAFA8MNERGRzkmeUsH4uQYAww0REREZDMMNERERGQrDDRERUYgQCI2eKYYbIiIinQuBMcI+YbghIiIiQ2G4ISIi0jHJV0o1LR8CrTwMN0RERDrR1gTgIZBXfMJwQ0REpGOmNiNPa3anCwu2nVCwNNoQrnYBiIiIyH++dEudLa/D2fJzCpZGG9hyQ0RERIbCcENERKRzoTBflC8YboiIiMhQGG6IiIjIUBhuAsBGQCIiIu1huCEiItI5/tj2xHATAOl3FiAiIgqciSceSRhuAsCkTEREwcSLoqRhuCEiIiJDYbgJAFsHiYgomNrqlmKLjieGmwBwXyIiItIehhsiIiI94y/tVhhuAsBuKSIi0gYmnOYYboiIiPSMv7RbYbgJAHMyERGpjiejVhhuiIiIyCdzNuWoXYR2MdwEgC2BRESkBcG+FHze1hPB3aCPGG4CwJZAIiIKJhN/VkvCcENERKQTgj+rJWG4CQDzMxERkfYw3ASA+ZmIiIKprW4pno88MdwQERGRoTDcBIDdUkRERNrDcBMANgMSERFpD8MNERGRjgkE/z43WsdwQ0RERIbCcEMhQ/CnDREZEMd/tsZwQ0REpGMCwFcHCtUuhqaEq10AIiIiksbkpZnm29zzOF9tC35hNIwtN0RERDqx88R51NgcHo8x2LTGcOOns+W1mJNyXO1ikA845IaI9C4jrwzjlu9Vuxiax3Djp6nrDqldBCIiCkG7T5WpXQTNY7jxU0WtXe0iGEawrmJas68gKNshIiJ1Mdz4ycxr72Tz9Ef7g7KdKZ8eDMp2iIhIXQw3fjJ7G7JOftl42KJ2EYiIyEAYbvzEcENERKRNDDf+YrYhIiLSJIYbPzHbEBERaZPs4WbmzJm4/fbb0bVrV/To0QMjR45ETk6OxzL19fWYMGECLr/8cnTp0gWjRo1CcXGxxzL5+fkYMWIEOnXqhB49euD555+Hw+F54yI1sVeKiIhIm2QPN6mpqZgwYQJ2796NlJQU2O12DB06FDU1Ne5lnn32WXz55ZdYu3YtUlNTUVhYiEceecT9vNPpxIgRI9DQ0IBdu3Zh+fLlWLZsGaZNmyZ3cf3GG8IRERFpk0kofJOR0tJS9OjRA6mpqfjxj3+MyspKXHnllVi1ahUeffRRAMCxY8dwww03ID09HXfeeSe+/vprPPDAAygsLER8fDwAYNGiRfjb3/6G0tJSREZGdrhdq9WKuLg4VFZWIjY2Vtb3VG934vZXNqPKpp2WJCIiCh2nXxuBq//+leplUIIc52/Fx9xUVlYCALp37w4AyMzMhN1uR3JysnuZfv364aqrrkJ6ejoAID09HTfffLM72ADAsGHDYLVacfjwYa/bsdlssFqtHn9KGbd8L4MNERGRRikablwuFyZNmoS77roLN910EwDAYrEgMjIS3bp181g2Pj4eFovFvUzzYNP0fNNz3sycORNxcXHuv969e8v8bi7ZeeKCYusmIiKiwCgabiZMmIBDhw5h9erVSm4GADBlyhRUVla6/woKeKt9IiKiUKRYuJk4cSLWr1+Pbdu2oVevXu7HExIS0NDQgIqKCo/li4uLkZCQ4F6m5dVTTf9vWqalqKgoxMbGevwRERGRMg6erVS7CG2SPdwIITBx4kR89tln2Lp1K/r27evx/KBBgxAREYEtW7a4H8vJyUF+fj6SkpIAAElJSTh48CBKSkrcy6SkpCA2Nhb9+/eXu8hERETkowff2YHymga1i+FVuNwrnDBhAlatWoXPP/8cXbt2dY+RiYuLQ0xMDOLi4jBu3DhMnjwZ3bt3R2xsLP785z8jKSkJd955JwBg6NCh6N+/P373u99h9uzZsFgsmDp1KiZMmICoqCi5i0xERER+sFjrcVnnjq9gDjbZw83ChQsBAPfcc4/H40uXLsXjjz8OAHjrrbdgNpsxatQo2Gw2DBs2DO+++6572bCwMKxfvx5PP/00kpKS0LlzZ4wdOxYzZsyQu7hERETkJ6dLmzd9kz3cSLltTnR0NBYsWIAFCxa0uUyfPn2wYcMGOYtGREREMnJoNNxwbikiIiKd+fmcVLWLAEC78ywy3BAREelMbkm12kXQNIYbIiIiMhSGGyIiIjIUhhsiIiIyFIYbIiIiMhSGGyIiIvKLSaOXSzHcEBERkaEw3BAREZGhMNwQERGRoTDcEBERkaEw3BAREZGhMNwQERGRoTDcEBERkaEw3BAREZGhMNwQERGRoTDcEBERkaEw3BAREZGhMNwQERGRX4RQuwTeMdwQERGRXzSabRhuiIiIyD9Co003DDdERETkF21GG4YbIiIi8pNGG24YboiIiMhf2kw3DDdERETkF7bcEBERkaFoNNsw3BAREZF/2HJDREREhsJLwYmIiMhQtBltGG6IiIjITxptuGG4ISIiIv8IjbbdMNwQERGRf7SZbRhuiIiIyD8azTYMN0REROQfjrkhIiIiQ+GYGyIiIjIUttwQERGRoWg02zDcEBERkX94h2IiIiIyFG1GG4YbIiIi8pdG0w3DDREREfmFV0sRERGRoWh0yA3DDRERERkLww0RERH5hS03REREZCgazTYMN0REROQf3ueGiIiIDEWb0YbhhoiIiPyk0YYbhhsiIiLylzbTDcMNERER+YUtN0RERERBwHBDREREftFoww3DDREREfmH3VJERERkKJw40w8LFizA1VdfjejoaAwZMgR79uxRu0hERER0EVtufLRmzRpMnjwZ06dPx/79+zFgwAAMGzYMJSUlaheNiIiIwDE3PpszZw6efPJJPPHEE+jfvz8WLVqETp064cMPP1S7aERERAQgMkybMUKTpWpoaEBmZiaSk5Pdj5nNZiQnJyM9Pd3ra2w2G6xWq8efEj7ZV6DIeomIiPTEbAKG35SgdjG80mS4OX/+PJxOJ+Lj4z0ej4+Ph8Vi8fqamTNnIi4uzv3Xu3dvRcqWmlOqyHqNRqtpnoiI5HFDz1i1i9CmcLULIJcpU6Zg8uTJ7v9brVZFAs7wmxLwvcticLy4CnanC12iwmGCCQICTpeA3SkQEWZG83N7jc2J8DATosPDAABhZhPq7E7YnS5EhYcBEAg3m2F3umCtt6Nbp0hEhZvhEgIOp0BNgwPxXaNhrXfAbALMJhNcQqDO7kTnyEsfYYPThap6O+JiIhAVEQYhGstT2+BAdHgYIpoVqqbBAbPJhJiIS2WyOVyotzvRrVMEnC4BIQCnaHx9TEQYukSFw3XxsQaHC5FhZjhdjT2u4WEmOJwC1TYHfnjN5XjwlkR8uv8cjhRVutdvNpkAAC4hYK1zuOskMtyMBocLdXYnXEIgLibi0ntyuGB3utApMhwmU+Nrna7G7XTvHAUAcLpciAgzo97uhEsAXaPCERXRWLYamxMmE+B0CURffK9Ol0B4WOP7jbpYJwJAXYMTANApMgwOl4DZBNidAg6XC12jI9DgcCE8zAQhgNoGByLCzIgMM8NxsQ6aytY1Ovzi/xuXCzObEWYCIsLMcInGz8lmd6JLdDjCzSY4XY3vweFq/Lw7RYYhzGyCyQTU2V0AgJgI88UymeBwNtZVVHgYoiPMcLoAh8vV+L7MJkSGm2FzuGAC4BRAjc2BuJgImC7Wqc3purg/mGA2m9DgcKHB4YLN4UR4mBmx0REwmwCHU6CirqHxfYabIUTT54jG9ywaP3eg8f8NDhfCzCZEhV+s02b7StfoCAgh4BICNkdjWbt1ioBLAA5n4/bNZlPj98d8aT+pszsRZjYhNjrCvZ0amwMuIdApMhzREWaYTSbU212IDDe5Bzc2fW5hZhNcLgGz2eQeHFDb4IRA4+tb1onD5UKY6dJ7aqqTuJjG8jc4BKptdkSFhyHcbEKY2eTedxwuF6IjwhB58XO2Oy/VafP9rPbid69rdDicLrj367KaBnSODEdMZONn0+Bo3H63ThGornfA4RIwmUyw2RuPJ2Hmxv1PCIEqmwMOpwvdOkVe3CcEahucaHC4Wu1ndXYnYiLC4BRAuLnxWFJjcyImMsy9n0E01on94mdnd7pgNjXu0zZH4/es6XMG4P7udYoMu7ifC9TbnXC6BCLDzegUGQ670wXHxc9FiMbjWFiYCaZm372YyLA2v/tN311rvR1dosIRbm7cz82mxjps+j7WO5zuuusSFY6YiMbvs8Plch9nruwSBZujsRwCje8/MtyMiDDTxe+RGQ1OF2psDnSJCncfw5wugXqHEz26RjfWg6vxszNd/L40P9bVNDhgMpnQ6eJxR6DxeNzgcKFzVBicF7/PTeuMiQhDuNmMsIvfKWudHdEXj7tN26p3OFHX4Gz8PrvrBKizOxATEQ4hBKIizBdf70CnyDB3PYeZTLA5nBfPUSaYLu79dqcL9Q4nOkWGu/d9l2jcfyLCTOh88f0LAVTZHLDZnegcFY5el8Xgd3f2gVZpMtxcccUVCAsLQ3FxscfjxcXFSEjw3gQWFRWFqKgoxcv24IBEPDggUfHtGMEzydeqXQQiIgpBmuw7iIyMxKBBg7Blyxb3Yy6XC1u2bEFSUpKKJSMiIiKt02TLDQBMnjwZY8eOxeDBg3HHHXdg7ty5qKmpwRNPPKF20YiIiEjDNBtufvWrX6G0tBTTpk2DxWLBrbfeio0bN7YaZExERETUnEkIrd5fMDBWqxVxcXGorKxEbKx2R3QTERHRJXKcvzU55oaIiIjIXww3REREZCgMN0RERGQoDDdERERkKAw3REREZCgMN0RERGQoDDdERERkKAw3REREZCgMN0RERGQomp1+IVBNN162Wq0ql4SIiIikajpvBzKBgmHDTVVVFQCgd+/eKpeEiIiIfFVVVYW4uDi/XmvYuaVcLhcKCwvRtWtXmEwm2dZrtVrRu3dvFBQUcM6qdrCepGNd+Yb15RvWl3SsK+mUrCshBKqqqpCYmAiz2b/RM4ZtuTGbzejVq5di64+NjeXOLwHrSTrWlW9YX75hfUnHupJOqbryt8WmCQcUExERkaEw3BAREZGhMNz4KCoqCtOnT0dUVJTaRdE01pN0rCvfsL58w/qSjnUlndbryrADiomIiCg0seWGiIiIDIXhhoiIiAyF4YaIiIgMheGGiIiIDMUw4WbmzJm4/fbb0bVrV/To0QMjR45ETk6OxzL19fWYMGECLr/8cnTp0gWjRo1CcXGxxzJ/+ctfMGjQIERFReHWW2/1ui0hBN544w1cd911iIqKwve+9z38+9//7rCMa9euRb9+/RAdHY2bb74ZGzZs8Hj+008/xdChQ3H55ZfDZDIhOzvbpzqQwgj19NJLL6Ffv37o3LkzLrvsMiQnJyMjI8O3ipDACHX1+OOPw2QyefwNHz7ct4qQwAh11bKemv5ef/113ypDAiPUV3FxMR5//HEkJiaiU6dOGD58OHJzc32rCAm0XleHDx/GqFGjcPXVV8NkMmHu3LmtlklLS8ODDz6IxMREmEwmrFu3zpcq8Emw6uull17y+n3p3Llzh2VcsGABrr76akRHR2PIkCHYs2ePx/OLFy/GPffcg9jYWJhMJlRUVPhcD4YJN6mpqZgwYQJ2796NlJQU2O12DB06FDU1Ne5lnn32WXz55ZdYu3YtUlNTUVhYiEceeaTVun7/+9/jV7/6VZvbeuaZZ/D+++/jjTfewLFjx/DFF1/gjjvuaLd8u3btwq9//WuMGzcOWVlZGDlyJEaOHIlDhw65l6mpqcHdd9+NWbNm+VED0hihnq677jq88847OHjwIHbs2IGrr74aQ4cORWlpqR810jYj1BUADB8+HEVFRe6/jz/+2Mea6JgR6qp5HRUVFeHDDz+EyWTCqFGj/KiR9um9voQQGDlyJE6dOoXPP/8cWVlZ6NOnD5KTkz3egxy0Xle1tbX4/ve/j9deew0JCQlel6mpqcGAAQOwYMECie/af8Gqr+eee67Vd6Z///745S9/2W751qxZg8mTJ2P69OnYv38/BgwYgGHDhqGkpMS9TG1tLYYPH45//OMfftYCAGFQJSUlAoBITU0VQghRUVEhIiIixNq1a93LHD16VAAQ6enprV4/ffp0MWDAgFaPHzlyRISHh4tjx475VJ7HHntMjBgxwuOxIUOGiKeeeqrVsnl5eQKAyMrK8mkb/tBzPTWprKwUAMTmzZt92pav9FhXY8eOFQ899JBP65WDHuuqpYceekj87Gc/82k7/tJbfeXk5AgA4tChQ+7nnU6nuPLKK8WSJUt82pavtFZXzfXp00e89dZb7S4DQHz22Wd+b8NXStVXS9nZ2QKASEtLa3e5O+64Q0yYMMH9f6fTKRITE8XMmTNbLbtt2zYBQJSXl3e4/ZYM03LTUmVlJQCge/fuAIDMzEzY7XYkJye7l+nXrx+uuuoqpKenS17vl19+ie9///tYv349+vbti6uvvhp/+MMfUFZW1u7r0tPTPbYNAMOGDfNp20rQez01NDRg8eLFiIuLw4ABAySXzx96ravt27ejR48euP766/H000/jwoULksvmL73WVZPi4mJ89dVXGDdunOSyBUJv9WWz2QAA0dHR7ufNZjOioqKwY8cOyeXzh9bqSuuUqq+W3n//fVx33XX40Y9+1OYyDQ0NyMzM9Ni22WxGcnKy7OdCQ4Ybl8uFSZMm4a677sJNN90EALBYLIiMjES3bt08lo2Pj4fFYpG87lOnTuHMmTNYu3YtVqxYgWXLliEzMxOPPvpou6+zWCyIj48PaNty03M9rV+/Hl26dEF0dDTeeustpKSk4IorrpBcPl/pta6GDx+OFStWYMuWLZg1axZSU1Nx3333wel0Si6fr/RaV80tX74cXbt29dpULzc91lfTyXDKlCkoLy9HQ0MDZs2ahbNnz6KoqEhy+XylxbrSMiXrq7n6+nqsXLmywx8D58+fh9PpDMq50JCzgk+YMAGHDh1S5BeEy+WCzWbDihUrcN111wEAPvjgAwwaNAg5OTmIiYlB//793cv/4x//CKzfUEF6rqef/vSnyM7Oxvnz57FkyRI89thjyMjIQI8ePWR/L4B+62r06NHuf99888245ZZb8IMf/ADbt2/HvffeK+8buUivddXchx9+iDFjxni0TChFj/UVERGBTz/9FOPGjUP37t0RFhaG5ORk3HfffRAK3vRej3WlJiXrq7nPPvsMVVVVGDt2rPuxb7/9Fvfdd5/7/++99x5++tOfKlqO5gwXbiZOnIj169cjLS0NvXr1cj+ekJCAhoYGVFRUeCTW4uLiNgeBedOzZ0+Eh4e7d34AuOGGGwAA+fn57pNuk6amwISEhFaj0X3dtpz0Xk+dO3fGNddcg2uuuQZ33nknrr32WnzwwQeYMmWK5DJKpfe6au773/8+rrjiCpw4cUKRcGOEuvr222+Rk5ODNWvWSC6Xv/RcX4MGDUJ2djYqKyvR0NCAK6+8EkOGDMHgwYMll88XWq0rrVK6vpp7//338cADD3i0yAwePNijvuLj4xEVFYWwsLCgnAsN0y0lhMDEiRPx2WefYevWrejbt6/H84MGDUJERAS2bNnifiwnJwf5+flISkqSvJ277roLDocDJ0+edD92/PhxAECfPn0QHh7uPulec8017i9AUlKSx7YBICUlxadty8Go9dT0q0tORqyrs2fP4sKFC+jZs6fk8klhpLpq+rWu5BguI9VXXFwcrrzySuTm5mLfvn146KGHJJdPCq3XldYEq76a5OXlYdu2ba26pGJiYjzqq2vXroiMjMSgQYM8tu1yubBlyxb5z4U+D0HWqKefflrExcWJ7du3i6KiIvdfbW2te5k//vGP4qqrrhJbt24V+/btE0lJSSIpKcljPbm5uSIrK0s89dRT4rrrrhNZWVkiKytL2Gw2IUTjyO7bbrtN/PjHPxb79+8X+/btE0OGDBE///nP2y3fzp07RXh4uHjjjTfE0aNHxfTp00VERIQ4ePCge5kLFy6IrKws8dVXXwkAYvXq1SIrK0sUFRWxni7WU3V1tZgyZYpIT08Xp0+fFvv27RNPPPGEiIqK8rhyg3UlRFVVlXjuuedEenq6yMvLE5s3bxa33XabuPbaa0V9fT3rqsX3T4jGK+86deokFi5cKFPNeGeE+vrkk0/Etm3bxMmTJ8W6detEnz59xCOPPCJjLTXSel3ZbDb3unr27Cmee+45kZWVJXJzc93LVFVVuZcBIObMmSOysrLEmTNnZKypRsGqryZTp04ViYmJwuFwSCrf6tWrRVRUlFi2bJk4cuSIGD9+vOjWrZuwWCzuZYqKikRWVpZYsmSJ+wqsrKwsceHCBcn1YJhwA8Dr39KlS93L1NXViT/96U/isssuE506dRIPP/xwq+Dwk5/8xOt68vLy3MucO3dOPPLII6JLly4iPj5ePP7445Iq/ZNPPhHXXXediIyMFDfeeKP46quvPJ5funSp121Pnz49kKrxoPd6qqurEw8//LBITEwUkZGRomfPnuIXv/iF2LNnT8B105Le66q2tlYMHTpUXHnllSIiIkL06dNHPPnkkx4HEbnova6avPfeeyImJkZUVFT4XRdSGKG+3n77bdGrVy8REREhrrrqKjF16tRWJz45aL2umm7d0fLvJz/5iXuZpkuaW/6NHTtWhhryFMz6cjqdolevXuIf//iHT2WcP3++uOqqq0RkZKS44447xO7duz2enz59eofvoSOmi5VBREREZAiGGXNDREREBDDcEBERkcEw3BAREZGhMNwQERGRoTDcEBERkaEw3BAREZGhMNwQERGRoTDcEBERkaEw3BAREZGhMNwQERGRoTDcEBERkaEw3BAREZGh/D8TN5PShVBUBAAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(solar)\n", - "plt.show()\n", - "plt.plot(weather_houston['ghi'][:8760])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes={LiI, WF, PV, PEM, H2_Comp}, capacity_factor={PV: solar, WF: wind}, scales=scales, label='Houston', capacity_scale_level=2)\n", - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, label='full_case', demand={houston: {H2_C: 0.2740}}, annualization_factor = 1)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.set_dict['processes_segments']" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "houston_wf = Location(name='HO(WF)', processes={LiI, WF, PEM, H2_Comp}, capacity_factor={WF: wind}, scales=scales, label='Houston(WF)', demand_scale_level=1, capacity_scale_level=2)\n", - "\n", - "scenario_wf = Scenario(name='scenario_wind', network=houston_wf, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, label='full_wind', demand={houston_wf: {H2_C: 0.2740}}, annualization_factor = 1)\n", - "\n", - "houston_pv = Location(name='HO(PV)', processes={LiI, PV, PEM, H2_Comp}, capacity_factor={PV: solar}, scales=scales, label='Houston(PV)', demand_scale_level=1, capacity_scale_level=2)\n", - "\n", - "scenario_pv = Scenario(name='scenario_solar', network=houston_pv, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, label='full_solar', demand={houston_pv: {H2_C: 0.2740}}, annualization_factor = 1)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(12, 6), color='orange')\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(12, 6), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Formulate MILP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we formulate two milps which differ only in their objectives.\n", - "\n", - "For maximizing the discharge of a particular resource, use the objective MAX_DISCHARGE, the objective resource also needs to be specified.\n", - "\n", - "Similarly the discharge can also be minimized using MIN_DISCHARGE. This can be used with a demand for another resource being set. For example, minimizing the discharge of carbon dioxide while meeting a hydrogen demand.\n", - "\n", - "The second MILP, minimized the cost while meeting a varying demand for power" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to maximize resource discharge" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - "# Constraints.NETWORK, Constraints.LAND}, objective=Objective.MAX_DISCHARGE, write_lpfile=True, objective_resource=H2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "# results_demand = solve(scenario=scenario, instance=milp_demand, solver='gurobi', name=\"results_demand\", print_solversteps=True)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to minimize cost" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.DEMAND}, objective=Objective.COST, inventory_zero = {houston: {(LiI, Power): 1}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "objective cost\n" - ] - } - ], - "source": [ - "\n", - "lp_cost_pv = formulate(scenario=scenario_pv, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.COST, inventory_zero = {houston_pv: {(LiI, Power): 1}})\n", - "\n", - "lp_cost_wf = formulate(scenario=scenario_wf, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.COST, inventory_zero = {houston_wf: {(LiI, Power): 1}})" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 236959 rows, 201552 columns and 606961 nonzeros\n", - "Model fingerprint: 0x83d76cef\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e-01, 1e+04]\n", - "Presolve removed 181641 rows and 155354 columns\n", - "Presolve time: 0.26s\n", - "Presolved: 55318 rows, 46198 columns, 156098 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 5\n", - " AA' NZ : 1.362e+05\n", - " Factor NZ : 7.631e+05 (roughly 50 MB of memory)\n", - " Factor Ops : 1.131e+07 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 5.11423496e+11 -1.08352612e+14 7.52e+03 1.48e+03 4.11e+09 0s\n", - " 1 4.76346918e+11 -6.00276179e+13 1.10e+04 2.19e+05 2.52e+09 1s\n", - " 2 4.13205252e+11 -2.27460916e+13 8.33e+03 2.26e+04 1.92e+09 1s\n", - " 3 5.88315936e+10 -8.30276931e+12 1.02e+03 2.40e-06 3.00e+08 1s\n", - " 4 1.09041007e+10 -2.66034021e+12 1.38e+02 1.85e-05 4.95e+07 1s\n", - " 5 6.60446288e+09 -9.80540959e+11 6.72e+01 4.65e-06 1.51e+07 1s\n", - " 6 4.23185442e+09 -5.79833352e+11 2.42e+01 3.37e-06 6.33e+06 1s\n", - " 7 3.56861500e+09 -1.34471259e+11 1.15e+01 6.72e-07 1.41e+06 1s\n", - " 8 2.92478350e+09 -3.31471794e+10 1.21e+00 3.13e-07 2.96e+05 1s\n", - " 9 2.01465298e+09 -7.36270392e+09 4.06e-09 1.38e-07 7.20e+04 1s\n", - " 10 1.13499436e+09 -1.60042168e+09 2.48e-09 1.96e-08 2.10e+04 1s\n", - " 11 5.48639464e+08 -6.52887487e+08 1.40e-09 4.80e-08 9.23e+03 2s\n", - " 12 2.56754451e+08 -1.26873701e+08 3.69e-09 1.26e-09 2.95e+03 2s\n", - " 13 2.50946220e+07 -7.11203611e+06 2.29e-09 1.16e-09 2.47e+02 2s\n", - " 14 1.53981864e+07 -1.57570824e+06 1.38e-09 1.81e-08 1.30e+02 2s\n", - " 15 8.94156640e+06 -2.07425292e+05 7.61e-10 6.98e-08 7.03e+01 2s\n", - " 16 5.69162436e+06 3.29602790e+05 5.59e-10 2.14e-08 4.12e+01 2s\n", - " 17 4.63560213e+06 9.53664934e+05 3.77e-10 4.66e-09 2.83e+01 2s\n", - " 18 4.00768656e+06 1.30604659e+06 2.86e-10 4.96e-08 2.08e+01 2s\n", - " 19 3.56171380e+06 1.56145790e+06 2.20e-10 1.26e-08 1.54e+01 2s\n", - " 20 2.90354523e+06 1.73012136e+06 1.28e-10 7.01e-10 9.01e+00 2s\n", - " 21 2.52590857e+06 1.85349743e+06 7.55e-11 3.16e-08 5.16e+00 3s\n", - " 22 2.37218257e+06 1.91031898e+06 5.29e-11 5.27e-09 3.55e+00 3s\n", - " 23 2.30140943e+06 1.92768686e+06 4.13e-11 6.89e-10 2.87e+00 3s\n", - " 24 2.24564476e+06 1.95788959e+06 3.28e-11 1.65e-08 2.21e+00 3s\n", - " 25 2.18728628e+06 1.98021680e+06 2.19e-11 2.60e-08 1.59e+00 3s\n", - " 26 2.17303507e+06 2.00688774e+06 1.83e-11 3.34e-08 1.28e+00 3s\n", - " 27 2.16057899e+06 2.01458049e+06 1.55e-11 3.16e-12 1.12e+00 3s\n", - " 28 2.14631769e+06 2.03712687e+06 1.21e-11 1.88e-08 8.39e-01 4s\n", - " 29 2.13828758e+06 2.04366019e+06 9.48e-12 2.64e-08 7.27e-01 4s\n", - " 30 2.13174109e+06 2.06482145e+06 7.61e-12 1.49e-08 5.14e-01 4s\n", - " 31 2.12925760e+06 2.07184236e+06 6.97e-12 4.58e-09 4.41e-01 4s\n", - " 32 2.12689891e+06 2.07542379e+06 6.27e-12 5.56e-09 3.95e-01 4s\n", - " 33 2.12389999e+06 2.07676073e+06 5.41e-12 6.70e-10 3.62e-01 4s\n", - " 34 2.12190046e+06 2.08364661e+06 4.78e-12 8.59e-12 2.94e-01 5s\n", - " 35 2.11737555e+06 2.08638732e+06 2.95e-12 1.85e-08 2.38e-01 5s\n", - " 36 2.11599853e+06 2.09168267e+06 2.54e-12 1.19e-09 1.87e-01 5s\n", - " 37 2.11350129e+06 2.09442051e+06 1.62e-12 7.42e-12 1.47e-01 5s\n", - " 38 2.11340964e+06 2.09464420e+06 1.59e-12 6.49e-09 1.44e-01 5s\n", - " 39 2.11296864e+06 2.09517488e+06 1.40e-12 2.71e-08 1.37e-01 5s\n", - " 40 2.11283886e+06 2.09656464e+06 1.34e-12 1.31e-08 1.25e-01 6s\n", - " 41 2.11178455e+06 2.09805056e+06 9.67e-13 5.48e-09 1.05e-01 6s\n", - " 42 2.11098041e+06 2.09839128e+06 6.83e-13 7.54e-09 9.67e-02 6s\n", - " 43 2.11023687e+06 2.10202187e+06 3.73e-13 1.03e-09 6.31e-02 6s\n", - " 44 2.11000202e+06 2.10263682e+06 2.88e-13 2.51e-08 5.66e-02 6s\n", - " 45 2.10977189e+06 2.10595594e+06 1.90e-13 1.71e-09 2.93e-02 6s\n", - " 46 2.10967208e+06 2.10617938e+06 1.44e-13 3.21e-09 2.68e-02 7s\n", - " 47 2.10964549e+06 2.10647108e+06 1.33e-13 2.70e-10 2.44e-02 7s\n", - " 48 2.10947141e+06 2.10766965e+06 4.92e-14 1.80e-08 1.38e-02 7s\n", - " 49 2.10935067e+06 2.10920358e+06 1.09e-14 7.61e-10 1.13e-03 7s\n", - " 50 2.10934690e+06 2.10932083e+06 2.86e-15 6.52e-12 2.00e-04 7s\n", - " 51 2.10934572e+06 2.10934569e+06 3.06e-09 3.83e-08 2.26e-07 7s\n", - " 52 2.10934572e+06 2.10934572e+06 6.61e-09 5.03e-07 1.53e-12 7s\n", - "\n", - "Barrier solved model in 52 iterations and 7.43 seconds (1.69 work units)\n", - "Optimal objective 2.10934572e+06\n", - "\n", - "Crossover log...\n", - "\n", - " 1007 DPushes remaining with DInf 0.0000000e+00 7s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 8s\n", - "\n", - " 16463 PPushes remaining with PInf 0.0000000e+00 8s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 8s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 5.1027911e-09 8s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 17473 2.1093457e+06 0.000000e+00 0.000000e+00 10s\n", - "\n", - "Solved in 17473 iterations and 10.45 seconds (2.57 work units)\n", - "Optimal objective 2.109345720e+06\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=lp_cost,\n", - " solver='gurobi', name=f\"Scenario3\", print_solversteps=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[28], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m results_cost_wf \u001b[39m=\u001b[39m solve(scenario\u001b[39m=\u001b[39;49mscenario_wf, instance\u001b[39m=\u001b[39;49mlp_cost_wf,\n\u001b[0;32m 2\u001b[0m solver\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mgurobi\u001b[39;49m\u001b[39m'\u001b[39;49m, name\u001b[39m=\u001b[39;49m\u001b[39mf\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mScenario2\u001b[39;49m\u001b[39m\"\u001b[39;49m, print_solversteps\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n\u001b[0;32m 4\u001b[0m results_cost_pv \u001b[39m=\u001b[39m solve(scenario\u001b[39m=\u001b[39mscenario_pv, instance\u001b[39m=\u001b[39mlp_cost_pv,\n\u001b[0;32m 5\u001b[0m solver\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mgurobi\u001b[39m\u001b[39m'\u001b[39m, name\u001b[39m=\u001b[39m\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mScenario1\u001b[39m\u001b[39m\"\u001b[39m, print_solversteps\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\solve.py:43\u001b[0m, in \u001b[0;36msolve\u001b[1;34m(instance, solver, name, interface, scenario, saveformat, print_solversteps, log)\u001b[0m\n\u001b[0;32m 27\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"solves a model instance, scenario needs to be provided\u001b[39;00m\n\u001b[0;32m 28\u001b[0m \n\u001b[0;32m 29\u001b[0m \u001b[39mArgs:\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 40\u001b[0m \u001b[39m Result: _description_\u001b[39;00m\n\u001b[0;32m 41\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 42\u001b[0m \u001b[39mif\u001b[39;00m interface \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mpyomo\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[1;32m---> 43\u001b[0m output \u001b[39m=\u001b[39m SolverFactory(solver, solver_io\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mpython\u001b[39;49m\u001b[39m'\u001b[39;49m)\u001b[39m.\u001b[39;49msolve(\n\u001b[0;32m 44\u001b[0m instance, tee\u001b[39m=\u001b[39;49mprint_solversteps)\n\u001b[0;32m 46\u001b[0m \u001b[39mif\u001b[39;00m interface \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mgams\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[0;32m 47\u001b[0m warn(\u001b[39m'\u001b[39m\u001b[39mEnsure GAMS is installed on system and PATH is set\u001b[39m\u001b[39m'\u001b[39m)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\solvers\\plugins\\solvers\\direct_solver.py:131\u001b[0m, in \u001b[0;36mDirectSolver.solve\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 127\u001b[0m \n\u001b[0;32m 128\u001b[0m \u001b[39m# we're good to go.\u001b[39;00m\n\u001b[0;32m 129\u001b[0m initial_time \u001b[39m=\u001b[39m time\u001b[39m.\u001b[39mtime()\n\u001b[1;32m--> 131\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_presolve(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwds)\n\u001b[0;32m 133\u001b[0m presolve_completion_time \u001b[39m=\u001b[39m time\u001b[39m.\u001b[39mtime()\n\u001b[0;32m 134\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_report_timing:\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\solvers\\plugins\\solvers\\direct_solver.py:68\u001b[0m, in \u001b[0;36mDirectSolver._presolve\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m 62\u001b[0m msg \u001b[39m=\u001b[39m (\n\u001b[0;32m 63\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mThe \u001b[39m\u001b[39m{0}\u001b[39;00m\u001b[39m plugin method \u001b[39m\u001b[39m'\u001b[39m\u001b[39m_presolve\u001b[39m\u001b[39m'\u001b[39m\u001b[39m must be supplied a single problem instance - \u001b[39m\u001b[39m{1}\u001b[39;00m\u001b[39m were \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 64\u001b[0m \u001b[39m+\u001b[39m \u001b[39m\"\u001b[39m\u001b[39msupplied.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 65\u001b[0m )\u001b[39m.\u001b[39mformat(\u001b[39mtype\u001b[39m(\u001b[39mself\u001b[39m), \u001b[39mlen\u001b[39m(args))\n\u001b[0;32m 66\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(msg)\n\u001b[1;32m---> 68\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_set_instance(model, kwds)\n\u001b[0;32m 70\u001b[0m DirectOrPersistentSolver\u001b[39m.\u001b[39m_presolve(\u001b[39mself\u001b[39m, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwds)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\solvers\\plugins\\solvers\\gurobi_direct.py:319\u001b[0m, in \u001b[0;36mGurobiDirect._set_instance\u001b[1;34m(self, model, kwds)\u001b[0m\n\u001b[0;32m 312\u001b[0m msg \u001b[39m=\u001b[39m (\n\u001b[0;32m 313\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mUnable to create Gurobi model. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 314\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mHave you installed the Python \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 315\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mbindings for Gurobi?\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m\\n\u001b[39;00m\u001b[39m\\t\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m+\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mError message: \u001b[39m\u001b[39m{0}\u001b[39;00m\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39mformat(e)\n\u001b[0;32m 316\u001b[0m )\n\u001b[0;32m 317\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mException\u001b[39;00m(msg)\n\u001b[1;32m--> 319\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_add_block(model)\n\u001b[0;32m 321\u001b[0m \u001b[39mfor\u001b[39;00m var, n_ref \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_referenced_variables\u001b[39m.\u001b[39mitems():\n\u001b[0;32m 322\u001b[0m \u001b[39mif\u001b[39;00m n_ref \u001b[39m!=\u001b[39m \u001b[39m0\u001b[39m:\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\solvers\\plugins\\solvers\\gurobi_direct.py:337\u001b[0m, in \u001b[0;36mGurobiDirect._add_block\u001b[1;34m(self, block)\u001b[0m\n\u001b[0;32m 336\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_add_block\u001b[39m(\u001b[39mself\u001b[39m, block):\n\u001b[1;32m--> 337\u001b[0m DirectOrPersistentSolver\u001b[39m.\u001b[39;49m_add_block(\u001b[39mself\u001b[39;49m, block)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\solvers\\plugins\\solvers\\direct_or_persistent_solver.py:220\u001b[0m, in \u001b[0;36mDirectOrPersistentSolver._add_block\u001b[1;34m(self, block)\u001b[0m\n\u001b[0;32m 217\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_add_var(var)\n\u001b[0;32m 219\u001b[0m \u001b[39mfor\u001b[39;00m sub_block \u001b[39min\u001b[39;00m block\u001b[39m.\u001b[39mblock_data_objects(descend_into\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, active\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m):\n\u001b[1;32m--> 220\u001b[0m \u001b[39mfor\u001b[39;00m con \u001b[39min\u001b[39;00m sub_block\u001b[39m.\u001b[39mcomponent_data_objects(\n\u001b[0;32m 221\u001b[0m ctype\u001b[39m=\u001b[39mpyomo\u001b[39m.\u001b[39mcore\u001b[39m.\u001b[39mbase\u001b[39m.\u001b[39mconstraint\u001b[39m.\u001b[39mConstraint,\n\u001b[0;32m 222\u001b[0m descend_into\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m,\n\u001b[0;32m 223\u001b[0m active\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m,\n\u001b[0;32m 224\u001b[0m sort\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m,\n\u001b[0;32m 225\u001b[0m ):\n\u001b[0;32m 226\u001b[0m \u001b[39mif\u001b[39;00m (\u001b[39mnot\u001b[39;00m con\u001b[39m.\u001b[39mhas_lb()) \u001b[39mand\u001b[39;00m (\u001b[39mnot\u001b[39;00m con\u001b[39m.\u001b[39mhas_ub()):\n\u001b[0;32m 227\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39mnot\u001b[39;00m con\u001b[39m.\u001b[39mequality\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\block.py:1636\u001b[0m, in \u001b[0;36m_BlockData.component_data_objects\u001b[1;34m(self, ctype, active, sort, descend_into, descent_order)\u001b[0m\n\u001b[0;32m 1633\u001b[0m dedup \u001b[39m=\u001b[39m _DeduplicateInfo()\n\u001b[0;32m 1634\u001b[0m \u001b[39mfor\u001b[39;00m _block \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mblock_data_objects(\n\u001b[0;32m 1635\u001b[0m active, sort, descend_into, descent_order):\n\u001b[1;32m-> 1636\u001b[0m \u001b[39myield from\u001b[39;00m _block\u001b[39m.\u001b[39m_component_data_itervalues(\n\u001b[0;32m 1637\u001b[0m ctype, active, sort, dedup)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\block.py:1553\u001b[0m, in \u001b[0;36m_BlockData._component_data_itervalues\u001b[1;34m(self, ctype, active, sort, dedup)\u001b[0m\n\u001b[0;32m 1533\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Generator that returns the _ComponentData for every component data\u001b[39;00m\n\u001b[0;32m 1534\u001b[0m \u001b[39min the block.\u001b[39;00m\n\u001b[0;32m 1535\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1548\u001b[0m \u001b[39m Deduplicator to prevent returning the same _ComponentData twice\u001b[39;00m\n\u001b[0;32m 1549\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 1550\u001b[0m \u001b[39mif\u001b[39;00m SortComponents\u001b[39m.\u001b[39msort_indices(sort):\n\u001b[0;32m 1551\u001b[0m \u001b[39m# We need the indices so that we can correctly sort. Fall\u001b[39;00m\n\u001b[0;32m 1552\u001b[0m \u001b[39m# back on _component_data_iteritems.\u001b[39;00m\n\u001b[1;32m-> 1553\u001b[0m \u001b[39myield from\u001b[39;00m \u001b[39mmap\u001b[39m(\n\u001b[0;32m 1554\u001b[0m itemgetter(\u001b[39m1\u001b[39m),\n\u001b[0;32m 1555\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_component_data_iteritems(ctype, active, sort, dedup)\n\u001b[0;32m 1556\u001b[0m )\n\u001b[0;32m 1557\u001b[0m \u001b[39mreturn\u001b[39;00m\n\u001b[0;32m 1559\u001b[0m \u001b[39mfor\u001b[39;00m comp \u001b[39min\u001b[39;00m PseudoMap(\u001b[39mself\u001b[39m, ctype, active, sort)\u001b[39m.\u001b[39mvalues():\n\u001b[0;32m 1560\u001b[0m \u001b[39m# NOTE: Suffix has a dict interface (something other derived\u001b[39;00m\n\u001b[0;32m 1561\u001b[0m \u001b[39m# non-indexed Components may do as well), so we don't want\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1565\u001b[0m \u001b[39m# processing for the scalar components to catch the case\u001b[39;00m\n\u001b[0;32m 1566\u001b[0m \u001b[39m# where there are \"sparse scalar components\"\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\block.py:1511\u001b[0m, in \u001b[0;36m_BlockData._component_data_iteritems\u001b[1;34m(self, ctype, active, sort, dedup)\u001b[0m\n\u001b[0;32m 1509\u001b[0m _items \u001b[39m=\u001b[39m comp\u001b[39m.\u001b[39mitems()\n\u001b[0;32m 1510\u001b[0m \u001b[39mif\u001b[39;00m _sort_indices:\n\u001b[1;32m-> 1511\u001b[0m _items \u001b[39m=\u001b[39m sorted_robust(_items, key\u001b[39m=\u001b[39;49mitemgetter(\u001b[39m0\u001b[39;49m))\n\u001b[0;32m 1512\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mhasattr\u001b[39m(comp, \u001b[39m'\u001b[39m\u001b[39m_data\u001b[39m\u001b[39m'\u001b[39m):\n\u001b[0;32m 1513\u001b[0m \u001b[39m# This is a Scalar component, which may be empty (e.g.,\u001b[39;00m\n\u001b[0;32m 1514\u001b[0m \u001b[39m# from Constraint.Skip on a scalar Constraint). Only\u001b[39;00m\n\u001b[0;32m 1515\u001b[0m \u001b[39m# return a ComponentData if one officially exists.\u001b[39;00m\n\u001b[0;32m 1516\u001b[0m \u001b[39m# Sorting is not a concern as this component has either\u001b[39;00m\n\u001b[0;32m 1517\u001b[0m \u001b[39m# 0 or 1 datas\u001b[39;00m\n\u001b[0;32m 1518\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39mlen\u001b[39m(comp\u001b[39m.\u001b[39m_data) \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\common\\sorting.py:129\u001b[0m, in \u001b[0;36msorted_robust\u001b[1;34m(iterable, key, reverse)\u001b[0m\n\u001b[0;32m 100\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Utility to sort an arbitrary iterable.\u001b[39;00m\n\u001b[0;32m 101\u001b[0m \n\u001b[0;32m 102\u001b[0m \u001b[39mThis returns the sorted(arg) in a consistent order by first trying\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 119\u001b[0m \u001b[39mlist\u001b[39;00m\n\u001b[0;32m 120\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 121\u001b[0m \u001b[39m# Because we implement this as a \"try a normal (fast) sort, then\u001b[39;00m\n\u001b[0;32m 122\u001b[0m \u001b[39m# fall back on our slow, but robust sort\", we will need to cache the\u001b[39;00m\n\u001b[0;32m 123\u001b[0m \u001b[39m# incoming arg: it may be a generator, in which case we would need\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 127\u001b[0m \u001b[39m# in-place sort(). By copying *all* incoming data, we avoid\u001b[39;00m\n\u001b[0;32m 128\u001b[0m \u001b[39m# possible side effects in the case that the user provided a list.\u001b[39;00m\n\u001b[1;32m--> 129\u001b[0m ans \u001b[39m=\u001b[39m \u001b[39mlist\u001b[39;49m(iterable)\n\u001b[0;32m 130\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m 131\u001b[0m ans\u001b[39m.\u001b[39msort(key\u001b[39m=\u001b[39mkey, reverse\u001b[39m=\u001b[39mreverse)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\indexed_component.py:510\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 499\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mitems\u001b[39m(\u001b[39mself\u001b[39m, ordered\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m):\n\u001b[0;32m 500\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"Return an iterator of (index,data) component data tuples\u001b[39;00m\n\u001b[0;32m 501\u001b[0m \n\u001b[0;32m 502\u001b[0m \u001b[39m Parameters\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 508\u001b[0m \u001b[39m :py:func:`sorted_robust`.\u001b[39;00m\n\u001b[0;32m 509\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 510\u001b[0m \u001b[39mreturn\u001b[39;00m((s, \u001b[39mself\u001b[39;49m[s]) \u001b[39mfor\u001b[39;00m s \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mkeys(ordered))\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\indexed_component.py:538\u001b[0m, in \u001b[0;36mIndexedComponent.__getitem__\u001b[1;34m(self, index)\u001b[0m\n\u001b[0;32m 535\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_not_constructed_error(index)\n\u001b[0;32m 537\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 538\u001b[0m obj \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_data\u001b[39m.\u001b[39;49mget(index, _NotFound)\n\u001b[0;32m 539\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mTypeError\u001b[39;00m:\n\u001b[0;32m 540\u001b[0m \u001b[39mtry\u001b[39;00m:\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " - ] - } - ], - "source": [ - "\n", - "results_cost_wf = solve(scenario=scenario_wf, instance=lp_cost_wf,\n", - " solver='gurobi', name=f\"Scenario2\", print_solversteps=True)\n", - "\n", - "results_cost_pv = solve(scenario=scenario_pv, instance=lp_cost_pv,\n", - " solver='gurobi', name=f\"Scenario1\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(3.412359148697773, 3.5993520614328443, 4.136816390219214)" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']*0.15/(1000* results_cost.output['S_network']['H2(C)', 0]), results_cost_pv.output['objective']*0.15/(1000* results_cost_pv.output['S_network']['H2(C)', 0]), results_cost_wf.output['objective']*0.15/(1000* results_cost_wf.output['S_network']['H2(C)', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'y' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[24], line 7\u001b[0m\n\u001b[0;32m 3\u001b[0m locations \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m(results\u001b[39m.\u001b[39mcomponents[\u001b[39m'\u001b[39m\u001b[39mlocations\u001b[39m\u001b[39m'\u001b[39m]\u001b[39m.\u001b[39mkeys())\n\u001b[0;32m 5\u001b[0m weight_counts \u001b[39m=\u001b[39m \u001b[39mdict\u001b[39m()\n\u001b[1;32m----> 7\u001b[0m \u001b[39mif\u001b[39;00m y \u001b[39mis\u001b[39;00m CostY\u001b[39m.\u001b[39mCAPEX:\n\u001b[0;32m 8\u001b[0m res_dict \u001b[39m=\u001b[39m results\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mCapex_process\u001b[39m\u001b[39m'\u001b[39m]\n\u001b[0;32m 9\u001b[0m \u001b[39mif\u001b[39;00m y \u001b[39mis\u001b[39;00m CostY\u001b[39m.\u001b[39mVOPEX:\n", - "\u001b[1;31mNameError\u001b[0m: name 'y' is not defined" - ] - } - ], - "source": [ - "results = results_cost\n", - "\n", - "locations = tuple(results.components['locations'].keys())\n", - "\n", - "weight_counts = dict()\n", - "\n", - "if y is CostY.CAPEX:\n", - " res_dict = results.output['Capex_process']\n", - "if y is CostY.VOPEX:\n", - " res_dict = results.output['Vopex_process']\n", - "if y is CostY.FOPEX:\n", - " res_dict = results.output['Fopex_process']\n", - "if y is CostY.TOTAL:\n", - " res_dict = {i: results.output['Capex_process'][i] + results.output['Vopex_process'][i] +\n", - " results.output['Fopex_process'][i] for i in results.output['Capex_process'].keys()}\n", - "\n", - "\n", - "for i in list(results.components['processes'].keys()):\n", - " vals = []\n", - " for j in res_dict.keys():\n", - " if j[1] == i:\n", - " if j[2] == network_scale_period:\n", - " vals.append(res_dict[j])\n", - " weight_counts[i] = array(vals)\n", - "print(weight_counts)\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': font_size})\n", - "rc('text', usetex=usetex)\n", - "fig, ax = plt.subplots(figsize=fig_size)\n", - "bottom = zeros(len(locations))\n", - "\n", - "for boolean, weight_count in weight_counts.items():\n", - " p = ax.bar(locations, weight_count, width=bar_width,\n", - " label=boolean, bottom=bottom, zorder=3)\n", - " bottom += weight_count\n", - "y_plot = ''.join(str(y).split('CostY.')[1])\n", - "plt.title(f'Location-wise {y_plot}')\n", - "plt.ylabel('Unit Currency')\n", - "plt.xlabel('Locations')\n", - "plt.yscale('log')\n", - "plt.legend()\n", - "plt.grid(alpha=0.3, zorder=0)\n", - "plt.rcdefaults()\n", - "plt.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results = [results_cost, results_cost_pv, results_cost_wf]\n", - "\n", - "# res_dict = {i.name: None for i in results}\n", - "\n", - "# y = CostY.TOTAL\n", - "\n", - "# for i in results: \n", - "# if y is CostY.CAPEX:\n", - "# res_dict[i.name] = i.output['Capex_process']\n", - "# if y is CostY.VOPEX:\n", - "# res_dict[i.name] = i.output['Vopex_process']\n", - "# if y is CostY.FOPEX:\n", - "# res_dict[i.name] = i.output['Fopex_process']\n", - "\n", - "# if y is CostY.TOTAL:\n", - "# res_dict[i.name] = {j: i.output['Capex_process'][j] + i.output['Vopex_process'][j] + i.output['Fopex_process'][j] for j in i.output['Capex_process'].keys()}\n", - "\n", - "\n", - "\n", - "# from numpy import array, zeros \n", - "# from matplotlib import rc \n", - "# bar_width = 0.4\n", - "# usetex = False \n", - "# font_size = 16\n", - "# fig_size = (10, 6)\n", - "# scenarios = tuple([i.name for i in results])\n", - "# network_scale_period = 0\n", - "\n", - "# weight_counts = dict()\n", - "\n", - "\n", - "# for k in results:\n", - "# vals = []\n", - "# for i in list(k.components['processes'].keys()):\n", - "# for j in res_dict[k.name].keys():\n", - "# if j[1] == i:\n", - "# if j[2] == network_scale_period:\n", - "# vals.append(res_dict[k.name][j])\n", - "# weight_counts[k.name] = array(vals)\n", - "# print(weight_counts)\n", - "\n", - "\n", - "# rc('font', **{'family': 'serif',\n", - "# 'serif': ['Computer Modern'], 'size': font_size})\n", - "# rc('text', usetex=usetex)\n", - "# fig, ax = plt.subplots(figsize=fig_size)\n", - "# bottom = zeros(len(scenarios))\n", - "\n", - "# for boolean, weight_count in weight_counts.items():\n", - "# p = ax.bar(scenarios, weight_count, width=bar_width,\n", - "# label=boolean, bottom=bottom, zorder=3)\n", - "# bottom += weight_count\n", - "# y_plot = ''.join(str(y).split('CostY.')[1])\n", - "# plt.title(f'Scenario-wise {y_plot}')\n", - "# plt.ylabel('Unit Currency')\n", - "# plt.xlabel('Scenario')\n", - "# plt.yscale('log')\n", - "# plt.legend()\n", - "# plt.grid(alpha=0.3, zorder=0)\n", - "# plt.rcdefaults()\n", - "# plt.plot()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "weight_counts_array = array([list(i) for i in weight_counts.values()])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 56075.95135636],\n", - " [ 66535.99274682],\n", - " [177245.28103168],\n", - " [ 78740.13020662],\n", - " [350176.22307911],\n", - " [ 52159.3150161 ]])" - ] - }, - "execution_count": 226, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "weight_counts_array" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({('HO', 'H2_Comp', 0): 0.03009104401037039,\n", - " ('HO', 'LiI', 0): 0.01923766199927423,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'PEM', 0): 0.08507504667902287,\n", - " ('HO', 'PV', 0): 0.17981342551019078,\n", - " ('HO', 'WF', 0): 0.08303779784460219},\n", - " {('HO(PV)', 'H2_Comp', 0): 0.03626260969604944,\n", - " ('HO(PV)', 'LiI', 0): 0.040190018214780764,\n", - " ('HO(PV)', 'LiI_discharge', 0): 100.0,\n", - " ('HO(PV)', 'PEM', 0): 0.10252363499024437,\n", - " ('HO(PV)', 'PV', 0): 0.31277871883632263},\n", - " {('HO(WF)', 'H2_Comp', 0): 0.020656948456292228,\n", - " ('HO(WF)', 'LiI', 0): 0.05791701665461307,\n", - " ('HO(WF)', 'LiI_discharge', 0): 100.0,\n", - " ('HO(WF)', 'PEM', 0): 0.05840245534716491,\n", - " ('HO(WF)', 'WF', 0): 0.3278862271291233})" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P'], results_cost_pv.output['Cap_P'], results_cost_wf.output['Cap_P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({('HO', 'LiI_Power_stored', 0): 10000.0},\n", - " {('HO(PV)', 'LiI_Power_stored', 0): 10000.0},\n", - " {('HO(WF)', 'LiI_Power_stored', 0): 10000.0})" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_S'], results_cost_pv.output['Cap_S'], results_cost_wf.output['Cap_S']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({('HO', 'H2_Comp', 0): 48145.67041659262,\n", - " ('HO', 'LiI', 0): 25050.937177538915,\n", - " ('HO', 'LiI_discharge', 0): 0.0,\n", - " ('HO', 'PEM', 0): 153135.08402224115,\n", - " ('HO', 'PV', 0): 239738.40732256797,\n", - " ('HO', 'WF', 0): 121401.2604488084},\n", - " {('HO(PV)', 'H2_Comp', 0): 58020.1755136791,\n", - " ('HO(PV)', 'LiI', 0): 52334.71829895965,\n", - " ('HO(PV)', 'LiI_discharge', 0): 0.0,\n", - " ('HO(PV)', 'PEM', 0): 184542.5429824399,\n", - " ('HO(PV)', 'PV', 0): 417015.9802331532},\n", - " {('HO(WF)', 'H2_Comp', 0): 33051.11753006757,\n", - " ('HO(WF)', 'LiI', 0): 75418.49658133736,\n", - " ('HO(WF)', 'LiI_discharge', 0): 0.0,\n", - " ('HO(WF)', 'PEM', 0): 105124.41962489684,\n", - " ('HO(WF)', 'WF', 0): 479369.66406277823})" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_process'], results_cost_pv.output['Capex_process'], results_cost_wf.output['Capex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 587471.3593877491}, {0: 711913.4170282318}, {0: 692963.69779908})" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_network'], results_cost_pv.output['Capex_network'], results_cost_wf.output['Capex_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 8435.59924458887}, {0: 8741.145790908924}, {0: 16498.72560058623})" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Fopex_network'], results_cost_pv.output['Fopex_network'], results_cost_wf.output['Fopex_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({0: 1679225.7308498372}, {0: 1679152.534680628}, {0: 2048690.0575794708})" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Vopex_network'], results_cost_pv.output['Vopex_network'], results_cost_wf.output['Vopex_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "23.995680409552296" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost_pv.output['objective']/(1000* results_cost_pv.output['S_network']['H2(C)', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "27.57877593479476" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost_wf.output['objective']/(1000* results_cost_wf.output['S_network']['H2(C)', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_capex : total purchase from network\n", - " Size=6, Index=constraint_process_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'H2_Comp', 0) : 0.0 : Capex_process[HO,H2_Comp,0] - 1600000.0*Cap_P[HO,H2_Comp,0] : 0.0 : True\n", - " ('HO', 'LiI', 0) : 0.0 : Capex_process[HO,LiI,0] - 1302182*Cap_P[HO,LiI,0] : 0.0 : True\n", - " ('HO', 'LiI_discharge', 0) : 0.0 : Capex_process[HO,LiI_discharge,0] : 0.0 : True\n", - " ('HO', 'PEM', 0) : 0.0 : Capex_process[HO,PEM,0] - 1800000.0*Cap_P[HO,PEM,0] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : Capex_process[HO,PV,0] - 1333262*Cap_P[HO,PV,0] : 0.0 : True\n", - " ('HO', 'WF', 0) : 0.0 : Capex_process[HO,WF,0] - 1462000*Cap_P[HO,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "lp_cost.constraint_process_capex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='Inv',\n", - " component='LiI_Power_stored', location='HO')\n", - "# plot_results.schedule(results=results_cost, y_axis='P',\n", - "# component='PV', location='HO')\n", - "plot_results.schedule(results=results_cost, y_axis='P',\n", - " component='WF', location='HO')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE, \n", - " y=CostY.TOTAL, location='HO', fig_size=(11, 6))\n", - "\n", - "\n", - "plot_results.cost(results=results_cost_pv, x=CostX.PROCESS_WISE, \n", - " y=CostY.TOTAL, location='HO(PV)', fig_size=(11, 6))\n", - "\n", - "\n", - "plot_results.cost(results=results_cost_wf, x=CostX.PROCESS_WISE, \n", - " y=CostY.TOTAL, location='HO(WF)', fig_size=(11, 6))\n", - "\n", - "\n", - "\n", - "# plot_results.cost(results=results_cost, x=CostX.LOCATION_WISE,\n", - "# y=CostY.TOTAL, location='HO', fig_size=(11, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({('HO', 'H2_Comp', 0): 0.03009104401037039,\n", - " ('HO', 'LiI', 0): 0.01923766199927423,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'PEM', 0): 0.08507504667902287,\n", - " ('HO', 'PV', 0): 0.17981342551019078,\n", - " ('HO', 'WF', 0): 0.08303779784460219},\n", - " {('HO(WF)', 'H2_Comp', 0): 0.020656948456292228,\n", - " ('HO(WF)', 'LiI', 0): 0.05791701665461307,\n", - " ('HO(WF)', 'LiI_discharge', 0): 100.0,\n", - " ('HO(WF)', 'PEM', 0): 0.05840245534716491,\n", - " ('HO(WF)', 'WF', 0): 0.3278862271291233},\n", - " {('HO(PV)', 'H2_Comp', 0): 0.03626260969604944,\n", - " ('HO(PV)', 'LiI', 0): 0.040190018214780764,\n", - " ('HO(PV)', 'LiI_discharge', 0): 100.0,\n", - " ('HO(PV)', 'PEM', 0): 0.10252363499024437,\n", - " ('HO(PV)', 'PV', 0): 0.31277871883632263})" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P'], results_cost_wf.output['Cap_P'], results_cost_pv.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.utils.scale_utils import scale_tuple\n", - "\n", - "time = scale_tuple(lp_cost, 3)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Inv = [results_cost.output['Inv']['HO', 'LiI_Power_stored', i[0], i[1], i [2]] for i in time]\n", - "PEM_P = [results_cost.output['P']['HO', 'PEM', i[0], i[1], i [2]] for i in time]\n", - "PV_P = [results_cost.output['P']['HO', 'PV', i[0], i[1], i [2]] for i in time]\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "Inv_p = Inv[24*7:24*14]\n", - "PEM_p = PEM_P[24*7:24*14]\n", - "PV_p = PV_P[24*7:24*14]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import rc\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "ax.plot(PEM_p, alpha = 0.9, label = 'PEM', color = 'green')\n", - "ax.plot(PV_p, alpha = 0.9, label = 'PV')\n", - "ax2 = ax.twinx()\n", - "# ax2.bar(list(range(len(Inv_p))), Inv_p)\n", - "ax2.plot(Inv_p, alpha = 0.9, label = 'Lithium-ion cell', color = 'red', linestyle = '--')\n", - "ax.set_ylabel(\"MW\")\n", - "ax2.set_ylabel(\"MW Lithium-ion Storage\", color = 'red')\n", - "ax.set_xlabel(\"Hours in a week 2\")\n", - "plt.title('Production Rates and Inventory')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "ax.legend(loc = 'upper left')\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "objective discharge max\n" - ] - } - ], - "source": [ - "lp_h2_max = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, }, objective=Objective.MAX_DISCHARGE, objective_resource=H2_C)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 236960 rows, 201552 columns and 606969 nonzeros\n", - "Model fingerprint: 0x31692cf2\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e-01, 1e+04]\n", - "Presolve removed 228361 rows and 178026 columns\n", - "Presolve time: 0.22s\n", - "Presolved: 8599 rows, 23526 columns, 38652 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " AA' NZ : 1.513e+04\n", - " Factor NZ : 1.317e+05 (roughly 14 MB of memory)\n", - " Factor Ops : 2.571e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 6.18669680e+06 3.13812352e+07 5.80e+03 1.77e-01 2.46e+03 0s\n", - " 1 1.17943648e+06 7.62357668e+06 1.56e+03 3.33e-16 3.90e+02 0s\n", - " 2 2.54220039e+05 1.35085837e+06 2.81e+02 5.55e-16 6.36e+01 0s\n", - " 3 7.40116185e+04 3.28772214e+05 2.22e+01 1.20e-14 7.86e+00 0s\n", - " 4 7.36956453e+04 1.28238990e+05 2.47e-01 4.88e-15 1.17e+00 0s\n", - " 5 8.37784136e+04 1.06579067e+05 1.01e-01 1.55e-15 4.89e-01 0s\n", - " 6 8.80629188e+04 9.74044873e+04 5.44e-02 3.33e-16 2.01e-01 0s\n", - " 7 9.05309414e+04 9.52982043e+04 2.68e-02 2.22e-16 1.02e-01 0s\n", - " 8 9.13976827e+04 9.36405523e+04 1.65e-02 1.11e-16 4.84e-02 0s\n", - " 9 9.23184251e+04 9.27912990e+04 6.19e-03 2.22e-16 1.03e-02 0s\n", - "\n", - "Barrier performed 9 iterations in 0.36 seconds (0.30 work units)\n", - "Barrier solve interrupted - model solved by another algorithm\n", - "\n", - "\n", - "Solved with dual simplex\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 8420 9.2673151e+04 0.000000e+00 0.000000e+00 1s\n", - "\n", - "Solved in 8420 iterations and 0.50 seconds (0.60 work units)\n", - "Optimal objective 9.267315077e+04\n" - ] - } - ], - "source": [ - "results_h2_max = solve(scenario=scenario, instance=lp_h2_max,\n", - " solver='gurobi', name=f\"results_h2_max\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results_h2_max, x=CostX.PROCESS_WISE, \n", - " y=CostY.TOTAL, location='HO', fig_size=(11, 6))\n", - "\n", - "\n", - "plot_results.cost(results=results_h2_max, x=CostX.LOCATION_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(11, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def revenue_model (revenue):\n", - " \n", - " Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - " Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - " Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - " H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True, revenue = revenue)\n", - "\n", - " O2 = Resource(name='O2', basis='tons', label='Oxygen', sell= True)\n", - "\n", - " H2O = Resource(name='H2O', cons_max=100, price=0.001, basis='tons')\n", - " \n", - " PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0.1, basis = 'tons', label = 'PEM' )\n", - "\n", - " LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=100, label='Lithium-ion battery', basis='MW')\n", - "\n", - " WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - " PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - " \n", - " houston = Location(name='HO', processes={LiI, PV, WF, PEM}, capacity_factor={PV: solar, WF: wind}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level=2)\n", - "\n", - " scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, label='full_case', demand={houston: {H2: 0.2740}}, annualization_factor = 0.15)\n", - " \n", - " lp_profit = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, }, objective=Objective.PROFIT)\n", - " \n", - " results = solve(scenario=scenario, instance=lp_profit,\n", - " solver='gurobi', name=f\"results_h2_max\", print_solversteps=True)\n", - " \n", - " return results\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "def revenue_model (revenue):\n", - " \n", - " Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - " Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - " Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - " H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True, revenue = revenue)\n", - "\n", - " O2 = Resource(name='O2', basis='tons', label='Oxygen', sell= True)\n", - "\n", - " H2O = Resource(name='H2O', cons_max=100, price=0.001, basis='tons')\n", - " \n", - " PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0.1, basis = 'tons', label = 'PEM' )\n", - "\n", - " LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=100, label='Lithium-ion battery', basis='MW')\n", - "\n", - " WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - " PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - " \n", - " houston = Location(name='HO', processes={LiI, PV, WF, PEM}, capacity_factor={PV: solar, WF: wind}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level=2)\n", - "\n", - " scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, label='full_case', demand={houston: {H2: 0.2740}}, annualization_factor = 0.15)\n", - " \n", - " lp_profit = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, }, objective=Objective.PROFIT)\n", - " \n", - " results = solve(scenario=scenario, instance=lp_profit,\n", - " solver='gurobi', name=f\"results_h2_max\", print_solversteps=True)\n", - " \n", - " return results" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "constraint resource revenue\n", - "constraint location revenue\n", - "constraint network revenue\n", - "objective profit\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 228196 rows, 184025 columns and 580679 nonzeros\n", - "Model fingerprint: 0xf3e09ffb\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-01, 1e+02]\n", - "Presolve removed 181640 rows and 137831 columns\n", - "Presolve time: 1.10s\n", - "Presolved: 46556 rows, 46194 columns, 138572 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 4\n", - " AA' NZ : 1.011e+05\n", - " Factor NZ : 5.572e+05 (roughly 40 MB of memory)\n", - " Factor Ops : 8.982e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 -2.61312849e+10 6.37881306e+11 7.61e+02 4.54e+03 8.02e+07 1s\n", - " 1 -2.29623619e+10 6.14580969e+11 1.11e+03 4.62e+04 5.35e+07 1s\n", - " 2 -1.82865840e+10 5.98722375e+11 8.79e+02 2.68e-07 3.94e+07 1s\n", - " 3 -2.59864363e+09 3.84325513e+11 4.62e+01 1.16e-06 4.58e+06 1s\n", - " 4 -2.01971117e+09 7.02809522e+10 1.66e+01 3.64e-06 7.77e+05 1s\n", - " 5 -1.58367844e+09 1.18433923e+10 2.70e+00 3.64e-11 1.21e+05 2s\n", - " 6 -6.63343625e+08 3.09171726e+09 1.23e-01 1.64e-11 3.11e+04 2s\n", - " 7 -2.61598138e+08 5.23418932e+08 5.08e-03 1.46e-11 6.47e+03 2s\n", - " 8 -1.31438990e+08 4.83459416e+08 1.17e-03 1.27e-11 5.06e+03 2s\n", - " 9 -6.90316880e+07 1.57597542e+08 3.09e-04 7.28e-12 1.87e+03 2s\n", - " 10 -2.21470638e+07 4.49585972e+07 3.92e-05 2.59e-09 5.53e+02 2s\n", - " 11 -8.75723585e+06 1.88848937e+07 1.44e-05 3.64e-12 2.28e+02 2s\n", - " 12 -4.45943894e+06 9.64137408e+06 6.71e-06 7.76e-11 1.16e+02 2s\n", - " 13 -2.90355607e+06 4.94113644e+06 4.08e-06 4.33e-11 6.46e+01 2s\n", - " 14 -1.87239043e+06 2.53591273e+06 2.48e-06 1.18e-10 3.63e+01 2s\n", - " 15 -1.16589610e+06 1.02465996e+06 1.42e-06 1.12e-09 1.80e+01 2s\n", - " 16 -6.32391497e+05 5.46163923e+05 6.76e-07 1.96e-09 9.71e+00 2s\n", - " 17 -2.88300687e+05 9.67163500e+04 2.68e-07 3.64e-12 3.17e+00 2s\n", - " 18 -2.08983985e+04 2.53213717e+03 1.46e-08 8.47e-09 1.93e-01 2s\n", - " 19 -2.01492379e+04 -1.90690802e+00 1.40e-08 3.42e-09 1.66e-01 2s\n", - " 20 -1.96926314e+04 -2.33565020e+03 1.36e-08 1.82e-12 1.43e-01 2s\n", - " 21 -9.79391478e+03 -2.82895526e+03 3.92e-09 4.48e-09 5.74e-02 2s\n", - " 22 -8.40650971e+03 -2.65697014e+03 2.90e-09 5.73e-09 4.74e-02 2s\n", - " 23 -7.77609442e+03 -2.75751424e+03 2.46e-09 8.05e-09 4.13e-02 2s\n", - " 24 -7.21894926e+03 -2.99252514e+03 2.09e-09 6.21e-09 3.48e-02 2s\n", - " 25 -6.93645242e+03 -3.54940459e+03 1.84e-09 3.95e-09 2.79e-02 2s\n", - " 26 -6.67771685e+03 -4.43044237e+03 1.52e-09 9.99e-10 1.85e-02 2s\n", - " 27 -6.43861031e+03 -4.70997334e+03 1.27e-09 7.41e-09 1.42e-02 2s\n", - " 28 -5.84259540e+03 -4.91091662e+03 6.39e-10 1.58e-09 7.67e-03 2s\n", - " 29 -5.64058682e+03 -4.99208502e+03 4.09e-10 6.33e-10 5.34e-03 2s\n", - " 30 -5.60052966e+03 -5.00556649e+03 3.65e-10 1.35e-09 4.90e-03 2s\n", - " 31 -5.58813416e+03 -5.17007100e+03 3.51e-10 1.82e-12 3.44e-03 3s\n", - " 32 -5.53126579e+03 -5.17768242e+03 2.89e-10 1.06e-10 2.91e-03 3s\n", - " 33 -5.51144684e+03 -5.20127736e+03 2.67e-10 3.64e-12 2.55e-03 3s\n", - " 34 -5.44129670e+03 -5.24394375e+03 1.91e-10 2.45e-09 1.63e-03 3s\n", - " 35 -5.41512713e+03 -5.24885658e+03 1.62e-10 3.62e-09 1.37e-03 3s\n", - " 36 -5.41162453e+03 -5.25074830e+03 1.58e-10 9.14e-10 1.32e-03 3s\n", - " 37 -5.38371252e+03 -5.25155885e+03 1.28e-10 4.58e-09 1.09e-03 3s\n", - " 38 -5.37357019e+03 -5.25327012e+03 1.17e-10 1.17e-09 9.91e-04 3s\n", - " 39 -5.33629172e+03 -5.26547928e+03 7.50e-11 4.34e-09 5.83e-04 3s\n", - " 40 -5.30387035e+03 -5.26692160e+03 3.52e-09 1.81e-09 3.04e-04 3s\n", - " 41 -5.29599169e+03 -5.26750781e+03 2.69e-09 2.14e-12 2.35e-04 3s\n", - " 42 -5.26867641e+03 -5.26809728e+03 1.55e-09 4.07e-10 4.77e-06 3s\n", - " 43 -5.26811797e+03 -5.26811715e+03 1.74e-11 8.32e-09 6.78e-09 3s\n", - " 44 -5.26811716e+03 -5.26811716e+03 8.88e-12 3.47e-09 6.78e-12 3s\n", - "\n", - "Barrier solved model in 44 iterations and 2.99 seconds (1.13 work units)\n", - "Optimal objective -5.26811716e+03\n", - "\n", - "Crossover log...\n", - "\n", - " 19826 DPushes remaining with DInf 0.0000000e+00 3s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 3s\n", - "\n", - " 23 PPushes remaining with PInf 0.0000000e+00 3s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 3s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 2.5669422e-09 3s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 13050 -5.2681172e+03 0.000000e+00 0.000000e+00 8s\n", - "\n", - "Solved in 13050 iterations and 8.26 seconds (1.29 work units)\n", - "Optimal objective -5.268117164e+03\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "constraint resource revenue\n", - "constraint location revenue\n", - "constraint network revenue\n", - "objective profit\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 228196 rows, 184025 columns and 580679 nonzeros\n", - "Model fingerprint: 0xf002da42\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-01, 1e+02]\n", - "Presolve removed 181640 rows and 137831 columns\n", - "Presolve time: 0.23s\n", - "Presolved: 46556 rows, 46194 columns, 138572 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 4\n", - " AA' NZ : 1.011e+05\n", - " Factor NZ : 5.572e+05 (roughly 40 MB of memory)\n", - " Factor Ops : 8.982e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 -2.61304706e+10 6.37881477e+11 7.61e+02 4.54e+03 8.02e+07 0s\n", - " 1 -2.29616911e+10 6.14581153e+11 1.11e+03 4.62e+04 5.35e+07 0s\n", - " 2 -1.82860423e+10 5.98722700e+11 8.79e+02 6.89e-07 3.94e+07 0s\n", - " 3 -2.59858119e+09 3.84325746e+11 4.62e+01 5.86e-06 4.58e+06 0s\n", - " 4 -2.01966556e+09 7.02811035e+10 1.66e+01 1.34e-07 7.77e+05 0s\n", - " 5 -1.58364259e+09 1.18434996e+10 2.70e+00 2.46e-07 1.21e+05 1s\n", - " 6 -6.63314963e+08 3.09168419e+09 1.23e-01 8.75e-08 3.11e+04 1s\n", - " 7 -2.61568248e+08 5.23455291e+08 5.08e-03 2.79e-08 6.47e+03 1s\n", - " 8 -1.31417131e+08 4.83494115e+08 1.17e-03 3.33e-08 5.06e+03 1s\n", - " 9 -6.90024373e+07 1.57553982e+08 3.09e-04 1.13e-08 1.87e+03 1s\n", - " 10 -2.21353083e+07 4.50702199e+07 3.93e-05 5.24e-10 5.53e+02 1s\n", - " 11 -8.74752425e+06 1.89554352e+07 1.44e-05 6.00e-11 2.28e+02 1s\n", - " 12 -4.44316662e+06 9.68009395e+06 6.73e-06 6.33e-10 1.16e+02 1s\n", - " 13 -2.88520836e+06 4.97738112e+06 4.10e-06 1.82e-12 6.48e+01 1s\n", - " 14 -1.85330553e+06 2.56371360e+06 2.49e-06 8.55e-12 3.64e+01 1s\n", - " 15 -1.15145711e+06 1.07112109e+06 1.43e-06 7.01e-09 1.83e+01 1s\n", - " 16 -6.30073566e+05 5.83979695e+05 6.95e-07 4.65e-10 1.00e+01 1s\n", - " 17 -2.40392495e+05 7.77148503e+04 2.15e-07 8.23e-10 2.62e+00 1s\n", - " 18 -1.46572445e+04 3.31701698e+03 8.60e-09 3.44e-09 1.48e-01 1s\n", - " 19 -1.42746514e+04 -4.13716623e+02 8.32e-09 5.63e-09 1.14e-01 1s\n", - " 20 -1.03319108e+04 -2.15038378e+03 4.62e-09 2.38e-10 6.74e-02 1s\n", - " 21 -6.09725165e+03 -2.91992888e+03 1.30e-09 2.05e-09 2.62e-02 1s\n", - " 22 -5.91669695e+03 -2.88476500e+03 1.18e-09 6.86e-10 2.50e-02 1s\n", - " 23 -5.62304131e+03 -3.03550556e+03 9.78e-10 4.76e-09 2.13e-02 1s\n", - " 24 -5.52508168e+03 -3.09100473e+03 9.22e-10 9.52e-10 2.00e-02 1s\n", - " 25 -5.34874977e+03 -3.46128260e+03 8.08e-10 5.87e-10 1.55e-02 1s\n", - " 26 -5.18634450e+03 -3.61577271e+03 6.42e-10 4.58e-10 1.29e-02 1s\n", - " 27 -5.14962285e+03 -3.72363682e+03 6.09e-10 3.87e-09 1.17e-02 1s\n", - " 28 -4.90072795e+03 -3.92515873e+03 3.73e-10 6.39e-10 8.03e-03 1s\n", - " 29 -4.83134703e+03 -4.16350838e+03 3.10e-10 1.12e-09 5.50e-03 1s\n", - " 30 -4.78950063e+03 -4.20186823e+03 2.74e-10 4.42e-09 4.84e-03 1s\n", - " 31 -4.74342277e+03 -4.23714996e+03 2.37e-10 3.10e-10 4.17e-03 1s\n", - " 32 -4.73034352e+03 -4.24206989e+03 2.27e-10 1.27e-10 4.02e-03 1s\n", - " 33 -4.69123946e+03 -4.26341498e+03 1.99e-10 3.93e-09 3.52e-03 2s\n", - " 34 -4.65999902e+03 -4.27391543e+03 1.79e-10 1.27e-10 3.18e-03 2s\n", - " 35 -4.61491386e+03 -4.37141689e+03 1.26e-10 1.78e-09 2.01e-03 2s\n", - " 36 -4.56807008e+03 -4.41282518e+03 8.41e-11 2.31e-09 1.28e-03 2s\n", - " 37 -4.54568755e+03 -4.43499401e+03 6.49e-11 7.93e-10 9.12e-04 2s\n", - " 38 -4.52873408e+03 -4.44994875e+03 4.90e-11 5.21e-10 6.49e-04 2s\n", - " 39 -4.52652076e+03 -4.46354525e+03 4.69e-11 2.42e-09 5.19e-04 2s\n", - " 40 -4.49327190e+03 -4.46908634e+03 1.68e-11 5.63e-09 1.99e-04 2s\n", - " 41 -4.48874299e+03 -4.47312315e+03 2.74e-10 6.50e-09 1.29e-04 2s\n", - " 42 -4.47595372e+03 -4.47364249e+03 6.97e-10 3.92e-10 1.90e-05 2s\n", - " 43 -4.47443008e+03 -4.47412087e+03 6.85e-09 2.67e-09 2.55e-06 2s\n", - " 44 -4.47417700e+03 -4.47417700e+03 4.16e-11 1.79e-08 3.69e-12 2s\n", - "\n", - "Barrier solved model in 44 iterations and 1.95 seconds (1.16 work units)\n", - "Optimal objective -4.47417700e+03\n", - "\n", - "Crossover log...\n", - "\n", - " 19826 DPushes remaining with DInf 0.0000000e+00 2s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 2s\n", - "\n", - " 23 PPushes remaining with PInf 0.0000000e+00 2s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 2s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 1.6624426e-09 2s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 13050 -4.4741770e+03 0.000000e+00 0.000000e+00 7s\n", - "\n", - "Solved in 13050 iterations and 7.23 seconds (1.32 work units)\n", - "Optimal objective -4.474177000e+03\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "constraint resource revenue\n", - "constraint location revenue\n", - "constraint network revenue\n", - "objective profit\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 228196 rows, 184025 columns and 580679 nonzeros\n", - "Model fingerprint: 0x688e9c09\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-01, 1e+02]\n", - "Presolve removed 181640 rows and 137831 columns\n", - "Presolve time: 0.29s\n", - "Presolved: 46556 rows, 46194 columns, 138572 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 4\n", - " AA' NZ : 1.011e+05\n", - " Factor NZ : 5.572e+05 (roughly 40 MB of memory)\n", - " Factor Ops : 8.982e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 -2.61296564e+10 6.37881648e+11 7.61e+02 4.54e+03 8.02e+07 0s\n", - " 1 -2.29610203e+10 6.14581336e+11 1.11e+03 4.62e+04 5.35e+07 0s\n", - " 2 -1.82855007e+10 5.98723025e+11 8.79e+02 1.63e-05 3.94e+07 0s\n", - " 3 -2.59851875e+09 3.84325979e+11 4.62e+01 5.16e-03 4.58e+06 1s\n", - " 4 -2.01961995e+09 7.02812549e+10 1.66e+01 9.98e-06 7.77e+05 1s\n", - " 5 -1.58360674e+09 1.18436070e+10 2.70e+00 7.21e-06 1.21e+05 1s\n", - " 6 -6.63286300e+08 3.09165110e+09 1.23e-01 3.27e-06 3.11e+04 1s\n", - " 7 -2.61538354e+08 5.23491653e+08 5.08e-03 6.09e-07 6.47e+03 1s\n", - " 8 -1.31395263e+08 4.83528818e+08 1.17e-03 5.77e-07 5.06e+03 1s\n", - " 9 -6.89731808e+07 1.57510410e+08 3.09e-04 1.92e-07 1.87e+03 1s\n", - " 10 -2.21234438e+07 4.51955931e+07 3.94e-05 5.45e-08 5.54e+02 1s\n", - " 11 -8.73771114e+06 1.90303506e+07 1.45e-05 1.63e-08 2.29e+02 1s\n", - " 12 -4.42690569e+06 9.72092744e+06 6.75e-06 8.44e-09 1.17e+02 1s\n", - " 13 -2.86680123e+06 5.01401487e+06 4.11e-06 1.01e-08 6.49e+01 1s\n", - " 14 -1.83396209e+06 2.59155683e+06 2.49e-06 3.64e-12 3.64e+01 1s\n", - " 15 -1.13606473e+06 1.11498172e+06 1.44e-06 3.64e-12 1.85e+01 1s\n", - " 16 -6.20945406e+05 6.21582756e+05 7.07e-07 3.62e-09 1.02e+01 1s\n", - " 17 -3.24921652e+05 1.06836912e+05 3.23e-07 7.38e-11 3.56e+00 1s\n", - " 18 -7.01144834e+04 4.22775379e+03 5.97e-08 1.90e-10 6.12e-01 1s\n", - " 19 -1.73043915e+04 1.28476121e+02 1.46e-08 2.84e-09 1.44e-01 1s\n", - " 20 -1.69574363e+04 -1.09206458e+02 1.42e-08 3.61e-09 1.39e-01 1s\n", - " 21 -1.59973630e+04 -2.07244943e+03 1.24e-08 8.39e-10 1.15e-01 1s\n", - " 22 -7.43983850e+03 -2.79042003e+03 3.91e-09 8.87e-10 3.83e-02 1s\n", - " 23 -4.80752432e+03 -2.98975332e+03 1.31e-09 2.70e-10 1.50e-02 1s\n", - " 24 -4.36340492e+03 -3.06110302e+03 9.33e-10 2.79e-10 1.07e-02 1s\n", - " 25 -4.22313767e+03 -3.14089139e+03 8.04e-10 1.39e-09 8.91e-03 1s\n", - " 26 -3.99816525e+03 -3.24859164e+03 5.86e-10 6.10e-09 6.17e-03 1s\n", - " 27 -3.69046739e+03 -3.31991600e+03 2.86e-10 2.72e-09 3.05e-03 1s\n", - " 28 -3.42846343e+03 -3.36178338e+03 3.70e-11 6.26e-10 5.49e-04 1s\n", - " 29 -3.38656447e+03 -3.38534882e+03 2.60e-09 2.68e-09 1.00e-05 1s\n", - " 30 -3.38615354e+03 -3.38615232e+03 3.12e-09 8.96e-11 1.00e-08 1s\n", - " 31 -3.38615313e+03 -3.38615313e+03 5.25e-10 3.96e-09 1.00e-11 1s\n", - "\n", - "Barrier solved model in 31 iterations and 1.48 seconds (0.88 work units)\n", - "Optimal objective -3.38615313e+03\n", - "\n", - "Crossover log...\n", - "\n", - " 28978 DPushes remaining with DInf 0.0000000e+00 2s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 2s\n", - "\n", - " 0 PPushes remaining with PInf 0.0000000e+00 2s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 1.2699921e-09 2s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 13581 -3.3861531e+03 0.000000e+00 0.000000e+00 7s\n", - "\n", - "Solved in 13581 iterations and 7.12 seconds (1.23 work units)\n", - "Optimal objective -3.386153128e+03\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "constraint resource revenue\n", - "constraint location revenue\n", - "constraint network revenue\n", - "objective profit\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 228196 rows, 184025 columns and 580679 nonzeros\n", - "Model fingerprint: 0x01b45de8\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-01, 1e+02]\n", - "Presolve removed 181640 rows and 137831 columns\n", - "Presolve time: 0.24s\n", - "Presolved: 46556 rows, 46194 columns, 138572 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.02s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 4\n", - " AA' NZ : 1.011e+05\n", - " Factor NZ : 5.572e+05 (roughly 40 MB of memory)\n", - " Factor Ops : 8.982e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 -2.61288421e+10 6.37881818e+11 7.61e+02 4.54e+03 8.02e+07 0s\n", - " 1 -2.29603496e+10 6.14581520e+11 1.11e+03 4.62e+04 5.35e+07 0s\n", - " 2 -1.82849590e+10 5.98723350e+11 8.79e+02 5.07e-07 3.94e+07 0s\n", - " 3 -2.59845631e+09 3.84326212e+11 4.62e+01 1.16e-10 4.58e+06 0s\n", - " 4 -2.01957433e+09 7.02814063e+10 1.66e+01 9.61e-07 7.77e+05 1s\n", - " 5 -1.58357089e+09 1.18437143e+10 2.70e+00 1.25e-06 1.21e+05 1s\n", - " 6 -6.63257636e+08 3.09161800e+09 1.23e-01 2.62e-06 3.11e+04 1s\n", - " 7 -2.61508458e+08 5.23528021e+08 5.08e-03 5.11e-07 6.47e+03 1s\n", - " 8 -1.31373388e+08 4.83563528e+08 1.17e-03 4.82e-07 5.06e+03 1s\n", - " 9 -6.89439193e+07 1.57466826e+08 3.09e-04 1.51e-07 1.86e+03 1s\n", - " 10 -2.21115487e+07 4.53200455e+07 3.95e-05 2.68e-08 5.55e+02 1s\n", - " 11 -8.72766861e+06 1.91038008e+07 1.45e-05 1.03e-08 2.29e+02 1s\n", - " 12 -4.41035923e+06 9.76077289e+06 6.77e-06 1.03e-08 1.17e+02 1s\n", - " 13 -2.84795400e+06 5.04939403e+06 4.12e-06 6.84e-09 6.50e+01 1s\n", - " 14 -1.81406684e+06 2.61813189e+06 2.50e-06 2.26e-09 3.65e+01 1s\n", - " 15 -1.11946552e+06 1.14735802e+06 1.45e-06 6.61e-09 1.87e+01 1s\n", - " 16 -6.10265584e+05 6.54487198e+05 7.20e-07 1.39e-09 1.04e+01 1s\n", - " 17 -3.17252800e+05 1.56122418e+05 3.31e-07 2.00e-09 3.90e+00 1s\n", - " 18 -1.16806084e+05 2.41364543e+04 1.05e-07 4.27e-09 1.16e+00 1s\n", - " 19 -1.17122121e+04 8.40731146e+02 8.83e-09 3.16e-09 1.03e-01 1s\n", - " 20 -7.60180884e+03 9.94254986e+01 5.66e-09 1.67e-09 6.34e-02 1s\n", - " 21 -7.47068300e+03 -4.52149572e+02 5.48e-09 3.53e-10 5.78e-02 1s\n", - " 22 -5.07046130e+03 -1.05304108e+03 2.84e-09 4.44e-10 3.31e-02 1s\n", - " 23 -4.35594928e+03 -1.27613498e+03 2.12e-09 1.07e-09 2.54e-02 1s\n", - " 24 -3.20103819e+03 -1.68778154e+03 9.60e-10 6.48e-11 1.25e-02 1s\n", - " 25 -2.51574838e+03 -2.05276229e+03 2.87e-10 3.49e-09 3.81e-03 1s\n", - " 26 -2.37216792e+03 -2.10928882e+03 1.47e-10 2.57e-10 2.16e-03 1s\n", - " 27 -2.27862121e+03 -2.18350228e+03 5.59e-11 6.41e-09 7.83e-04 1s\n", - " 28 -2.24589795e+03 -2.21118650e+03 3.36e-09 3.35e-11 2.86e-04 1s\n", - " 29 -2.22350735e+03 -2.21469327e+03 3.52e-10 3.70e-09 7.26e-05 1s\n", - " 30 -2.22089308e+03 -2.22083772e+03 3.94e-09 1.19e-09 4.56e-07 2s\n", - " 31 -2.22086115e+03 -2.22086111e+03 8.72e-09 4.20e-09 4.56e-10 2s\n", - " 32 -2.22086113e+03 -2.22086113e+03 8.61e-12 3.02e-09 4.58e-16 2s\n", - "\n", - "Barrier solved model in 32 iterations and 1.58 seconds (0.92 work units)\n", - "Optimal objective -2.22086113e+03\n", - "\n", - "Crossover log...\n", - "\n", - " 28974 DPushes remaining with DInf 0.0000000e+00 2s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 2s\n", - "\n", - " 3 PPushes remaining with PInf 0.0000000e+00 2s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 2s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 7.3080741e-10 2s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 13479 -2.2208611e+03 0.000000e+00 0.000000e+00 7s\n", - "\n", - "Solved in 13479 iterations and 6.91 seconds (1.41 work units)\n", - "Optimal objective -2.220861135e+03\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "constraint resource revenue\n", - "constraint location revenue\n", - "constraint network revenue\n", - "objective profit\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 228196 rows, 184025 columns and 580679 nonzeros\n", - "Model fingerprint: 0xc2dd80ea\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-01, 1e+02]\n", - "Presolve removed 181640 rows and 137831 columns\n", - "Presolve time: 0.23s\n", - "Presolved: 46556 rows, 46194 columns, 138572 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 4\n", - " AA' NZ : 1.011e+05\n", - " Factor NZ : 5.572e+05 (roughly 40 MB of memory)\n", - " Factor Ops : 8.982e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 -2.61280278e+10 6.37881989e+11 7.61e+02 4.54e+03 8.02e+07 0s\n", - " 1 -2.29596788e+10 6.14581703e+11 1.11e+03 4.62e+04 5.35e+07 0s\n", - " 2 -1.82844174e+10 5.98723674e+11 8.79e+02 7.60e-06 3.94e+07 0s\n", - " 3 -2.59839387e+09 3.84326445e+11 4.62e+01 7.51e-06 4.58e+06 0s\n", - " 4 -2.01952872e+09 7.02815577e+10 1.66e+01 2.11e-04 7.77e+05 0s\n", - " 5 -1.58353504e+09 1.18438216e+10 2.70e+00 2.15e-05 1.21e+05 1s\n", - " 6 -6.63228971e+08 3.09158489e+09 1.23e-01 6.06e-06 3.11e+04 1s\n", - " 7 -2.61478558e+08 5.23564394e+08 5.08e-03 1.02e-06 6.47e+03 1s\n", - " 8 -1.31351504e+08 4.83598244e+08 1.17e-03 9.42e-07 5.06e+03 1s\n", - " 9 -6.89146475e+07 1.57423227e+08 3.09e-04 3.46e-07 1.86e+03 1s\n", - " 10 -2.20996283e+07 4.54437896e+07 3.96e-05 7.59e-08 5.56e+02 1s\n", - " 11 -8.71740451e+06 1.91753243e+07 1.46e-05 3.20e-08 2.30e+02 1s\n", - " 12 -4.39352276e+06 9.79953978e+06 6.79e-06 1.66e-08 1.17e+02 1s\n", - " 13 -2.82867451e+06 5.08354522e+06 4.14e-06 1.10e-08 6.52e+01 1s\n", - " 14 -1.79364300e+06 2.64343510e+06 2.51e-06 5.75e-09 3.65e+01 1s\n", - " 15 -1.10177120e+06 1.17729475e+06 1.46e-06 2.22e-09 1.88e+01 1s\n", - " 16 -5.96870141e+05 6.85882992e+05 7.32e-07 1.27e-09 1.06e+01 1s\n", - " 17 -3.00844850e+05 1.95162970e+05 3.34e-07 3.56e-10 4.08e+00 1s\n", - " 18 -1.65348371e+05 9.79717810e+04 1.69e-07 5.32e-09 2.17e+00 1s\n", - " 19 -9.31220725e+04 6.69189092e+04 8.83e-08 9.58e-10 1.32e+00 1s\n", - " 20 -5.52379993e+04 3.01589665e+04 4.84e-08 1.82e-12 7.03e-01 1s\n", - " 21 -8.24407640e+03 1.94499869e+03 6.69e-09 2.61e-09 8.39e-02 1s\n", - " 22 -5.19441716e+03 6.51091535e+01 4.19e-09 3.21e-10 4.33e-02 1s\n", - " 23 -5.23070873e+03 -9.21865847e+01 4.16e-09 2.24e-10 4.23e-02 1s\n", - " 24 -2.62611795e+03 -4.58997945e+02 1.52e-09 8.62e-11 1.78e-02 1s\n", - " 25 -1.70920466e+03 -8.34452814e+02 6.15e-10 4.31e-10 7.20e-03 1s\n", - " 26 -1.21468706e+03 -9.18303772e+02 1.46e-10 5.25e-10 2.44e-03 1s\n", - " 27 -1.05839965e+03 -1.03800267e+03 9.80e-13 3.16e-10 1.68e-04 1s\n", - " 28 -1.05543002e+03 -1.05525975e+03 5.92e-13 5.03e-09 1.40e-06 1s\n", - " 29 -1.05537334e+03 -1.05537317e+03 9.39e-10 3.03e-09 1.40e-09 1s\n", - " 30 -1.05537329e+03 -1.05537329e+03 8.99e-11 6.71e-09 1.40e-12 1s\n", - "\n", - "Barrier solved model in 30 iterations and 1.37 seconds (0.85 work units)\n", - "Optimal objective -1.05537329e+03\n", - "\n", - "Crossover log...\n", - "\n", - " 28974 DPushes remaining with DInf 0.0000000e+00 1s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 2s\n", - "\n", - " 0 PPushes remaining with PInf 0.0000000e+00 2s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 4.0450363e-09 2s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 13478 -1.0553733e+03 0.000000e+00 0.000000e+00 7s\n", - "\n", - "Solved in 13478 iterations and 6.96 seconds (1.20 work units)\n", - "Optimal objective -1.055373287e+03\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "constraint network cost\n", - "constraint resource revenue\n", - "constraint location revenue\n", - "constraint network revenue\n", - "objective profit\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 228196 rows, 184025 columns and 580679 nonzeros\n", - "Model fingerprint: 0x1f7bd480\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-01, 1e+02]\n", - "Presolve removed 181640 rows and 137831 columns\n", - "Presolve time: 0.25s\n", - "Presolved: 46556 rows, 46194 columns, 138572 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.01s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 4\n", - " AA' NZ : 1.011e+05\n", - " Factor NZ : 5.572e+05 (roughly 40 MB of memory)\n", - " Factor Ops : 8.982e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 -2.61272135e+10 6.37882160e+11 7.61e+02 4.54e+03 8.02e+07 0s\n", - " 1 -2.29590080e+10 6.14581887e+11 1.11e+03 4.62e+04 5.35e+07 0s\n", - " 2 -1.82838757e+10 5.98723999e+11 8.79e+02 2.38e-07 3.94e+07 0s\n", - " 3 -2.59833143e+09 3.84326678e+11 4.62e+01 1.16e-10 4.58e+06 0s\n", - " 4 -2.01948311e+09 7.02817090e+10 1.66e+01 2.18e-04 7.77e+05 1s\n", - " 5 -1.58349918e+09 1.18439289e+10 2.70e+00 2.98e-05 1.21e+05 1s\n", - " 6 -6.63200305e+08 3.09155176e+09 1.23e-01 8.15e-06 3.11e+04 1s\n", - " 7 -2.61448655e+08 5.23600771e+08 5.08e-03 1.37e-06 6.47e+03 1s\n", - " 8 -1.31329613e+08 4.83632964e+08 1.17e-03 1.27e-06 5.06e+03 1s\n", - " 9 -6.88853681e+07 1.57379614e+08 3.09e-04 4.67e-07 1.86e+03 1s\n", - " 10 -2.20876727e+07 4.55667226e+07 3.97e-05 1.03e-07 5.57e+02 1s\n", - " 11 -8.70693696e+06 1.92450576e+07 1.46e-05 4.33e-08 2.30e+02 1s\n", - " 12 -4.37640170e+06 9.83726124e+06 6.82e-06 2.25e-08 1.17e+02 1s\n", - " 13 -2.80897382e+06 5.11648033e+06 4.15e-06 1.18e-08 6.53e+01 1s\n", - " 14 -1.77271248e+06 2.66750824e+06 2.52e-06 1.16e-08 3.66e+01 1s\n", - " 15 -1.08311317e+06 1.20420804e+06 1.47e-06 2.83e-09 1.88e+01 1s\n", - " 16 -5.81685334e+05 7.15802484e+05 7.43e-07 1.76e-09 1.07e+01 1s\n", - " 17 -2.89444426e+05 2.41294761e+05 3.50e-07 7.18e-10 4.37e+00 1s\n", - " 18 -1.58067684e+05 1.36602096e+05 1.87e-07 1.19e-09 2.43e+00 1s\n", - " 19 -1.03561024e+05 9.39196659e+04 1.24e-07 1.27e-09 1.63e+00 1s\n", - " 20 -6.47684793e+04 7.32160056e+04 7.72e-08 1.15e-10 1.14e+00 1s\n", - " 21 -4.77913451e+04 5.64289265e+04 5.69e-08 1.64e-09 8.58e-01 1s\n", - " 22 -3.05536419e+04 4.29281633e+04 3.61e-08 2.61e-09 6.05e-01 1s\n", - " 23 -1.87145386e+04 2.16239344e+04 2.25e-08 4.74e-11 3.32e-01 1s\n", - " 24 -2.49324995e+03 1.34876394e+04 4.89e-09 2.16e-09 1.32e-01 1s\n", - " 25 1.61380951e+03 4.32631731e+03 8.84e-10 2.11e-09 2.23e-02 1s\n", - " 26 2.59656419e+03 3.45781266e+03 3.96e-11 2.54e-09 7.09e-03 1s\n", - " 27 2.61642302e+03 2.67745763e+03 6.19e-11 1.22e-10 5.03e-04 1s\n", - " 28 2.65442445e+03 2.65442815e+03 1.52e-09 1.53e-09 3.05e-08 1s\n", - " 29 2.65442696e+03 2.65442696e+03 1.14e-11 1.65e-08 3.05e-11 1s\n", - "\n", - "Barrier solved model in 29 iterations and 1.41 seconds (0.84 work units)\n", - "Optimal objective 2.65442696e+03\n", - "\n", - "Crossover log...\n", - "\n", - " 30018 DPushes remaining with DInf 0.0000000e+00 1s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 1s\n", - "\n", - " 0 PPushes remaining with PInf 0.0000000e+00 1s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 6.8899482e-09 2s\n", - "\n", - "\n", - "Solved with barrier\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 14501 2.6544270e+03 0.000000e+00 0.000000e+00 7s\n", - "\n", - "Solved in 14501 iterations and 6.98 seconds (0.97 work units)\n", - "Optimal objective 2.654426959e+03\n" - ] - } - ], - "source": [ - "# results_profit_dict = {i: revenue_model(1000 + 100*(i)) for i in range(4)}\n", - "results_profit_dict = {i: revenue_model(625+ i) for i in range(6)}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "obj = [results_profit_dict[i].output['objective'] for i in range(6)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[-5268.117163679097,\n", - " -4474.1769998585805,\n", - " -3386.1531278288458,\n", - " -2220.8611349052517,\n", - " -1055.373286641552,\n", - " 2654.4269589334726]" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "obj" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results_profit_dict[1], x=CostX.PROCESS_WISE, \n", - " y=CostY.TOTAL, location='HO', fig_size=(11, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x = [(625+ i)/365 for i in range(6)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib import rc\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "ax.plot(x, obj, alpha = 0.9)\n", - "plt.title('Minimum selling price for profit')\n", - "# plt.xticks(rotation=90)\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('H2', 0): 793.8960341777146, ('O2', 0): 6352.515001215025}" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_profit_dict[0].output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "496185.0213610716" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "793.8960341777146*625" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "KeyError", - "evalue": "('H2', 0)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[55], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m results_cost\u001b[39m.\u001b[39;49moutput[\u001b[39m'\u001b[39;49m\u001b[39mS_network\u001b[39;49m\u001b[39m'\u001b[39;49m][\u001b[39m'\u001b[39;49m\u001b[39mH2\u001b[39;49m\u001b[39m'\u001b[39;49m, \u001b[39m0\u001b[39;49m]\u001b[39m/\u001b[39m(\u001b[39m1000\u001b[39m\u001b[39m*\u001b[39m results_cost\u001b[39m.\u001b[39moutput[\u001b[39m'\u001b[39m\u001b[39mS_network\u001b[39m\u001b[39m'\u001b[39m][\u001b[39m'\u001b[39m\u001b[39mH2\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m0\u001b[39m])\n", - "\u001b[1;31mKeyError\u001b[0m: ('H2', 0)" - ] - } - ], - "source": [ - "results_cost.output['S_network']['H2', 0]/(1000* results_cost.output['S_network']['H2', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x2 = [results_profit_dict[i].output['Cost'][None]/(365*results_profit_dict[i].output['S_network']['H2', 0]) for i in range(6)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[1.7305089784951961,\n", - " 1.730507270617611,\n", - " 1.7257713793040215,\n", - " 1.7257689296626704,\n", - " 1.725768408946822,\n", - " 1.7257676431124325]" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x2 = [(625+ i)/(results_profit_dict[i].output['S_network']['H2', 0]) for i in range(6)]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[0.7872567352567137,\n", - " 0.7884369043816215,\n", - " 0.5381945062177331,\n", - " 0.5388693774952849,\n", - " 0.5396575555562736,\n", - " 0.022502207528729883]" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/MILP.ipynb b/examples/publication/MILP.ipynb deleted file mode 100644 index da8b5a14..00000000 --- a/examples/publication/MILP.ipynb +++ /dev/null @@ -1,1197 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Shell case study" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The hydrogen economy case study has been developed with the following considerations:\n", - "\n", - "1. Green H2 supply chain (renewables, storage and an electrolyzer) that delivers 100 kta at a fixed production rate (at every time step, the same amount of hydrogen should be delivered)\n", - "2. For renewables, we compare the results of the supply chain using i) solar, ii) wind iii) hybrid solar+wind\n", - "3. We consider a single time period (2023 - 2030) \n", - "4. We consider transportation (e.g. pipeline from Amarillo to Houston)\n", - " \n", - "Also shown\n", - "- a table with the cost assumptions (CAPEX)\n", - "- the assumed full load hours of the location\n", - "- the installed capacities resulting from the optimization\n", - "- cost breakdown of the investment. \n", - "\n", - "Technologies considered:\n", - "\n", - "1. Solar PV - Canadian Solar CS5P-220M with a ABB Micro Inverter\n", - "- Array performance model: California energy commission \n", - "- Angle of incidence loss: Not considered\n", - "- Spectral loss: Not considered\n", - "- Temperature model: Open rack \n", - "\n", - "2. Wind Mill - Vestas V100/1800, 92m hub height\n", - "- Wind speed model: logarithmic,\n", - "- Density model: ideal_gas,\n", - "- Temperature model: linear_gradient\n", - "- Power output model: power_coefficient_curve\n", - "- Density correction: True\n", - "- Obstacle height: 0\n", - "\n", - "3. PEM Electrolyzer - Hydrogenics bipolar PEM\n", - "- Rated production: 1Nm3/h\n", - "- Efficiency: 49.2%\n", - "- Specific energy consumption: 7.2 kWh/Nm3\n", - "- Hydrogen purity: 99.99%\n", - "\n", - "4. Lithium-ion battery\n", - "- Coulombic efficiency: 95%\n", - "- Active Li material: graphite\n", - "\n", - "5. Hydrogen compression \n", - "- Compress to liquid\n", - "\n", - "6. Pipeline transportation\n", - "- For liquified hydrogen\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "$\\mathcal{L}$ - set of locations l\n", - "\n", - "$\\mathcal{M}$ - set of materials m\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Mat^P_{l,p,m,t}$ - material m $\\in$ $\\mathcal{M}$ used by process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Em^{p/r/m}_{l,p/r/m,t}$ - emission from process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor\n", - "\n", - "$Mat^{cons}_{p,m}$ - material m $\\in$ $\\mathcal{M}$ consumed by process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$GWP^{p/r/m}_{l,p/r/m,t}$ - global warming indicators for process/resource/material in time t $\\in$ $\\mathcal{T}^{net}$\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a mulit-scale modeling and optimization MILP framework for the simultaneous design and schedule planning of a single location energy system \n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} (\\alpha \\times Capex_{l,p,t} + Fopex_{l,p,t}) \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Mat_{l,p,m,t} = Mat^{cons}_{p,m} \\times Cap^P_{l,p,t} \\hspace{1cm} \\forall m \\in \\mathcal{M}, p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{r}_{l,r,t} = GWP^{r}_{l,r,t} \\times C_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{m}_{l,m,t} = GWP^{m}_{l,m,t} \\times \\sum_{p \\in \\mathcal{P}} Mat_{l,p,m,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Em^{p}_{l,p,t} = GWP^{p}_{l,p,t} \\times Cap_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Mat_{l,p,m,t}, Em^{p/r/m}_{l,p/r/m,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas\n", - "import numpy\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n", - "from itertools import product\n", - "import matplotlib.pyplot as plt \n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col= 0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Get Weather data**" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "solar = solar_power_output(data= weather_houston, coord=coord_houston)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "wind = wind_power_output(data= weather_houston)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization \n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points.\n", - "\n", - "The demand is met on a daily basis" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[5, 365, 24])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold).\n", - "\n", - "Power demand follows a varying deterministic demand" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand=True)\n", - "\n", - "O2 = Resource(name='O2', basis='tons', label='Oxygen', sell= True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=100, price=0.001, basis='tons')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Processes" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0.1, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=100, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Location" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "houston = Location(name='HO', processes={LiI, PV, WF, PEM}, capacity_factor={PV: solar, WF: wind}, scales=scales, label='Houston', demand_scale_level=1, capacity_scale_level=2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare Scenario" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, label='full_case', demand={houston: {H2: 0.2740}}, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=PV, fig_size=(9, 5), color='orange')\n", - "plot_scenario.capacity_factor(\n", - " scenario=scenario, location=houston, process=WF, fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Formulate MILP" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we formulate two milps which differ only in their objectives.\n", - "\n", - "For maximizing the discharge of a particular resource, use the objective MAX_DISCHARGE, the objective resource also needs to be specified.\n", - "\n", - "Similarly the discharge can also be minimized using MIN_DISCHARGE. This can be used with a demand for another resource being set. For example, minimizing the discharge of carbon dioxide while meeting a hydrogen demand.\n", - "\n", - "The second MILP, minimized the cost while meeting a varying demand for power" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to maximize resource discharge" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# milp_demand = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE,\n", - "# Constraints.NETWORK, Constraints.LAND}, objective=Objective.MAX_DISCHARGE, write_lpfile=True, objective_resource=H2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "# results_demand = solve(scenario=scenario, instance=milp_demand, solver='gurobi', name=\"results_demand\", print_solversteps=True)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimize to minimize cost" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1053385 rows, 920151 columns and 4963398 nonzeros\n", - "Model fingerprint: 0xd528549e\n", - "Variable types: 920121 continuous, 30 integer (30 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+05]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+02]\n", - "Presolve removed 837248 rows and 705820 columns\n", - "Presolve time: 2.54s\n", - "Presolved: 216137 rows, 214331 columns, 642950 nonzeros\n", - "Variable types: 214331 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.08s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 20\n", - " AA' NZ : 4.684e+05\n", - " Factor NZ : 2.948e+06 (roughly 200 MB of memory)\n", - " Factor Ops : 6.320e+07 (less than 1 second per iteration)\n", - " Threads : 2\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 1.17076973e+11 -9.93319966e+12 7.05e+00 2.57e+05 5.01e+07 4s\n", - " 1 8.01836865e+10 -4.67575366e+12 5.18e+00 1.34e+06 1.69e+07 5s\n", - " 2 7.74404320e+10 -2.27166067e+12 4.27e+00 2.55e+05 1.24e+07 5s\n", - " 3 4.78581594e+10 -7.46292303e+11 6.96e-01 8.81e+02 2.20e+06 5s\n", - " 4 2.96930215e+10 -1.64857343e+11 1.01e-01 2.14e-04 3.88e+05 5s\n", - " 5 9.15480935e+09 -3.57758590e+10 1.13e-02 3.53e-05 8.10e+04 6s\n", - " 6 3.01699391e+09 -9.60855042e+09 2.53e-03 1.48e-05 2.25e+04 6s\n", - " 7 1.07017339e+09 -3.21717305e+09 5.06e-04 2.38e-06 7.59e+03 6s\n", - " 8 6.25196514e+08 -1.60889161e+09 2.06e-04 1.06e-06 3.95e+03 6s\n", - " 9 4.18020232e+08 -6.15814568e+08 1.19e-04 1.08e-06 1.83e+03 6s\n", - " 10 3.27524765e+08 -3.69233330e+08 8.83e-05 6.52e-07 1.23e+03 7s\n", - " 11 2.63722870e+08 -2.54118084e+08 6.83e-05 3.02e-07 9.16e+02 7s\n", - " 12 2.16107795e+08 -1.70780371e+08 5.37e-05 2.55e-07 6.84e+02 7s\n", - " 13 1.87461861e+08 -1.33264324e+08 4.54e-05 2.44e-07 5.67e+02 7s\n", - " 14 1.47919730e+08 -9.42629688e+07 3.35e-05 2.12e-07 4.28e+02 8s\n", - " 15 1.30395810e+08 -6.05952378e+07 2.82e-05 2.78e-07 3.38e+02 8s\n", - " 16 9.64968021e+07 -3.74760345e+07 1.80e-05 8.66e-08 2.37e+02 8s\n", - " 17 8.83442139e+07 -1.11574216e+07 1.56e-05 2.28e-07 1.76e+02 8s\n", - " 18 7.37652002e+07 1.07448170e+06 1.12e-05 2.53e-07 1.29e+02 9s\n", - " 19 6.69276458e+07 1.03988542e+07 9.36e-06 7.94e-08 1.00e+02 9s\n", - " 20 6.22571243e+07 1.44020658e+07 7.88e-06 2.71e-07 8.47e+01 9s\n", - " 21 5.76515147e+07 2.06103693e+07 6.46e-06 1.17e-07 6.55e+01 10s\n", - " 22 5.55440387e+07 2.55259555e+07 5.82e-06 3.20e-07 5.31e+01 10s\n", - " 23 5.20148343e+07 2.75687440e+07 4.66e-06 5.31e-08 4.33e+01 10s\n", - " 24 5.02491146e+07 2.92883543e+07 4.08e-06 1.37e-07 3.71e+01 10s\n", - " 25 4.82465283e+07 3.02959062e+07 3.47e-06 9.37e-08 3.18e+01 11s\n", - " 26 4.72432354e+07 3.14202734e+07 3.13e-06 6.61e-08 2.80e+01 11s\n", - " 27 4.61235421e+07 3.20261877e+07 2.72e-06 9.89e-09 2.49e+01 11s\n", - " 28 4.50423117e+07 3.25768718e+07 2.33e-06 1.53e-08 2.21e+01 12s\n", - " 29 4.33659481e+07 3.32782644e+07 1.72e-06 1.94e-07 1.78e+01 12s\n", - " 30 4.26500218e+07 3.42735150e+07 1.46e-06 4.30e-08 1.48e+01 12s\n", - " 31 4.24179518e+07 3.48619988e+07 1.37e-06 1.92e-08 1.34e+01 12s\n", - " 32 4.16047602e+07 3.54235808e+07 1.07e-06 4.86e-08 1.09e+01 13s\n", - " 33 4.15095956e+07 3.59080280e+07 1.03e-06 1.48e-07 9.91e+00 13s\n", - " 34 4.05197748e+07 3.65505478e+07 6.33e-07 7.50e-08 7.02e+00 13s\n", - " 35 4.01521423e+07 3.66216766e+07 4.89e-07 1.56e-08 6.24e+00 14s\n", - " 36 3.98080665e+07 3.72725222e+07 3.48e-07 5.15e-08 4.48e+00 14s\n", - " 37 3.96213007e+07 3.73819070e+07 2.73e-07 1.24e-08 3.96e+00 14s\n", - " 38 3.95075843e+07 3.77022333e+07 2.27e-07 8.88e-09 3.19e+00 14s\n", - " 39 3.92025485e+07 3.81296070e+07 9.95e-08 1.17e-07 1.90e+00 15s\n", - " 40 3.91205382e+07 3.85954047e+07 6.75e-08 1.57e-08 9.29e-01 15s\n", - " 41 3.90385067e+07 3.87313141e+07 3.49e-08 1.01e-07 5.43e-01 15s\n", - " 42 3.90065736e+07 3.88806705e+07 2.23e-08 1.82e-07 2.23e-01 15s\n", - " 43 3.89854114e+07 3.89064961e+07 1.45e-08 5.88e-08 1.40e-01 16s\n", - " 44 3.89749772e+07 3.89146121e+07 1.03e-08 6.61e-08 1.07e-01 16s\n", - " 45 3.89594279e+07 3.89311233e+07 5.80e-09 5.63e-08 5.01e-02 16s\n", - " 46 3.89546537e+07 3.89433470e+07 3.64e-08 1.09e-07 2.00e-02 16s\n", - " 47 3.89503520e+07 3.89471173e+07 9.75e-08 1.90e-07 5.73e-03 16s\n", - " 48 3.89492198e+07 3.89478945e+07 1.09e-07 1.34e-07 2.35e-03 16s\n", - " 49 3.89490103e+07 3.89481787e+07 3.77e-07 1.53e-07 1.47e-03 17s\n", - " 50 3.89486410e+07 3.89483155e+07 1.39e-07 1.40e-07 5.77e-04 17s\n", - " 51 3.89484517e+07 3.89483513e+07 1.41e-07 5.10e-08 1.78e-04 17s\n", - " 52 3.89483785e+07 3.89483691e+07 1.01e-08 1.62e-07 1.66e-05 17s\n", - " 53 3.89483705e+07 3.89483704e+07 1.38e-09 2.39e-07 1.59e-07 17s\n", - " 54 3.89483704e+07 3.89483704e+07 1.32e-09 2.63e-06 1.67e-09 18s\n", - "\n", - "Barrier solved model in 54 iterations and 17.55 seconds (10.52 work units)\n", - "Optimal objective 3.89483704e+07\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 54534 DPushes remaining with DInf 0.0000000e+00 18s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 19s\n", - "\n", - " 24900 PPushes remaining with PInf 0.0000000e+00 19s\n", - " 20532 PPushes remaining with PInf 0.0000000e+00 20s\n", - " 7096 PPushes remaining with PInf 0.0000000e+00 25s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 26s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 7.7514345e-07 26s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 43975 3.8948370e+07 0.000000e+00 0.000000e+00 26s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with barrier\n", - "\n", - "Root relaxation: objective 3.894837e+07, 43975 iterations, 23.01 seconds (22.78 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 3.894837e+07 3.8948e+07 0.00% - 26s\n", - "\n", - "Explored 1 nodes (43975 simplex iterations) in 26.58 seconds (26.86 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 3.89484e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.894837045045e+07, best bound 3.894837045044e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_cost = solve(scenario=scenario, instance=milp_cost,\n", - " solver='gurobi', name=f\"results_cost\", print_solversteps=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "77.8889520056922" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['objective']/(1000* results_cost.output['S_network']['H2', 0])" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "500.05000000000007" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_network']['H2', 0]" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_capex : total purchase from network\n", - " Size=25, Index=constraint_process_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'LiI', 0) : 0.0 : Capex_process[HO,LiI,0] - 195327.3*Cap_P[HO,LiI,0] : 0.0 : True\n", - " ('HO', 'LiI', 1) : 0.0 : Capex_process[HO,LiI,1] - 195327.3*Cap_P[HO,LiI,1] : 0.0 : True\n", - " ('HO', 'LiI', 2) : 0.0 : Capex_process[HO,LiI,2] - 195327.3*Cap_P[HO,LiI,2] : 0.0 : True\n", - " ('HO', 'LiI', 3) : 0.0 : Capex_process[HO,LiI,3] - 195327.3*Cap_P[HO,LiI,3] : 0.0 : True\n", - " ('HO', 'LiI', 4) : 0.0 : Capex_process[HO,LiI,4] - 195327.3*Cap_P[HO,LiI,4] : 0.0 : True\n", - " ('HO', 'LiI_discharge', 0) : 0.0 : Capex_process[HO,LiI_discharge,0] : 0.0 : True\n", - " ('HO', 'LiI_discharge', 1) : 0.0 : Capex_process[HO,LiI_discharge,1] : 0.0 : True\n", - " ('HO', 'LiI_discharge', 2) : 0.0 : Capex_process[HO,LiI_discharge,2] : 0.0 : True\n", - " ('HO', 'LiI_discharge', 3) : 0.0 : Capex_process[HO,LiI_discharge,3] : 0.0 : True\n", - " ('HO', 'LiI_discharge', 4) : 0.0 : Capex_process[HO,LiI_discharge,4] : 0.0 : True\n", - " ('HO', 'PEM', 0) : 0.0 : Capex_process[HO,PEM,0] - 232500.0*Cap_P[HO,PEM,0] : 0.0 : True\n", - " ('HO', 'PEM', 1) : 0.0 : Capex_process[HO,PEM,1] - 232500.0*Cap_P[HO,PEM,1] : 0.0 : True\n", - " ('HO', 'PEM', 2) : 0.0 : Capex_process[HO,PEM,2] - 232500.0*Cap_P[HO,PEM,2] : 0.0 : True\n", - " ('HO', 'PEM', 3) : 0.0 : Capex_process[HO,PEM,3] - 232500.0*Cap_P[HO,PEM,3] : 0.0 : True\n", - " ('HO', 'PEM', 4) : 0.0 : Capex_process[HO,PEM,4] - 232500.0*Cap_P[HO,PEM,4] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : Capex_process[HO,PV,0] - 199989.3*Cap_P[HO,PV,0] : 0.0 : True\n", - " ('HO', 'PV', 1) : 0.0 : Capex_process[HO,PV,1] - 199989.3*Cap_P[HO,PV,1] : 0.0 : True\n", - " ('HO', 'PV', 2) : 0.0 : Capex_process[HO,PV,2] - 199989.3*Cap_P[HO,PV,2] : 0.0 : True\n", - " ('HO', 'PV', 3) : 0.0 : Capex_process[HO,PV,3] - 199989.3*Cap_P[HO,PV,3] : 0.0 : True\n", - " ('HO', 'PV', 4) : 0.0 : Capex_process[HO,PV,4] - 199989.3*Cap_P[HO,PV,4] : 0.0 : True\n", - " ('HO', 'WF', 0) : 0.0 : Capex_process[HO,WF,0] - 219300.0*Cap_P[HO,WF,0] : 0.0 : True\n", - " ('HO', 'WF', 1) : 0.0 : Capex_process[HO,WF,1] - 219300.0*Cap_P[HO,WF,1] : 0.0 : True\n", - " ('HO', 'WF', 2) : 0.0 : Capex_process[HO,WF,2] - 219300.0*Cap_P[HO,WF,2] : 0.0 : True\n", - " ('HO', 'WF', 3) : 0.0 : Capex_process[HO,WF,3] - 219300.0*Cap_P[HO,WF,3] : 0.0 : True\n", - " ('HO', 'WF', 4) : 0.0 : Capex_process[HO,WF,4] - 219300.0*Cap_P[HO,WF,4] : 0.0 : True\n" - ] - } - ], - "source": [ - "milp_cost.constraint_process_capex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='Inv',\n", - " component='LiI_Power_stored', location='HO')\n", - "# plot_results.schedule(results=results_cost, y_axis='Inv',\n", - "# component='LiI_Ro_Power_stored', location='HO')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA9wAAAI6CAYAAADVOkA2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB2ZElEQVR4nO3dd3gU1f/28TuNEEgILQRCIAQiIIrSgihKlCogioDYULqKCIggRf0KKIiANCmCKEU6ClJUuolUqaI0RZBQkxBaQgkEsvP8wZP9ZUnbbDIJC+/Xde11hZlz5nx2s7Pk3pk542IYhiEAAAAAAJCjXPO6AAAAAAAA7kYEbgAAAAAATEDgBgAAAADABARuAAAAAABMQOAGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgAAAAAATEDgBgAAAADABARuAMgBgwcPlouLS4YPV1dXFSlSRHXq1NHw4cMVFxeX12Ujl23btk0BAQEKDQ3VxYsX87qcTM2cOTPT93Vmj3LlyqW7fYvFosWLF6tdu3YKCQmRj4+PChYsqPLly6tly5b69ttvdfXq1XT7P/nkk9mub/Dgweluf9q0adZ2hw8ftus1y2isDh062LUNOJeM3odpvf8jIyMdfk9KUmJiombOnKnWrVsrODhYBQsWVKFChXTffffplVde0YIFC3Tz5k1zniyALHPP6wIA4G7QqlUrhYSESJJee+01SdITTzyhN954w9rm6tWr2rFjh2bPnq1t27ZpypQpWr58uR5++OE8qRm5b/bs2YqKilJUVJTWr1+v1q1b53VJdvnggw90//332yw7e/asevfuLUl6/vnn1apVq1T9hg0bpoSEhDS3uX37dnXp0kV79+5VhQoV1LJlS5UvX15ubm46fvy4VqxYoS5dumjw4MEaP358mtuXpOLFi2vs2LGpli9ZskQ//vijJGns2LEqXrx4uvWnZ+7cudaf582bp48//jjD9tKt33F641eoUCHT/ne7iIgIRUREqHDhwnr33Xfvilo+/PBDdenSRQcPHtRnn30mSXrjjTf0xBNPyNvbO1V7Pz8/6/vk66+/1saNGyX933vnoYceSneslStX6u2331ZkZKSqVq2qV155RWXLllVSUpL+++8/LV26VPPnz9eQIUM0ZcoUhYWFOfy8AOQQAwCQoyQZkoz27dunuX737t1GwYIFDUlG6dKljfPnz+dugcgzW7ZsMUqWLGlUr17dOHfuXF6Xk6kZM2YYkozw8PBU644ePWp9rw8aNCjN/mFhYUZQUFCq5UuXLjW8vLwMNzc3Y8yYMUZSUlKa/efMmWMUKFDAcHFxMUaNGmX39g3DMAYNGmSt7+jRo+nWn17tJ06cMFxdXa3bqFy5cprt0pPZ+Peq5Nclvd+bM9cSHh5u/Z3PmDHDrj7t27e39snM5MmTDVdXV6NAgQLGnDlz0myTlJRkjBkzxnB1dTXy5ctnzJs3LytPAYAJOKUcAHJZ9erV1a9fP0nSqVOnNH78+DyuCLnl0UcfVVRUlHbv3q2iRYvmdTl5Ys+ePXr55ZeVkJCgcePGqXfv3nJ1TfvPkVdffVULFiyQYRh6//339f333+danfPnz5fFYlGxYsUkSX///bd2796da+MDKa1atUrvvPOOLBaLFi5cqFdffTXNdq6ururdu7fGjx+vxMREvf7669q6dWsuVwsgJQI3AOSBlKfHLlu2LA8rAdJXunRpNWnSxOEvB2rXrm1zSmtSUpJeeuklJSQkKDQ0VN27d890Gy1atFCbNm0kSV27dtWZM2fS3X5WeHl5qUmTJtZLQW43b948lS1bVgMGDLBZBuS2uLg4tWvXThaLRW3atNEzzzyTaZ/u3bsrNDRUN2/e1CuvvKLExMRcqBRAWgjcAJAHUl7LeeTIkTysBEhfo0aNtGrVqgyvKc3IyJEjNWvWLOu/586dq3/++UeS1KNHD7m4uNi1nR49eki6FTwmTpyY7vazwt/fX6tWrVK7du1SrTt48KD27Nmjtm3b6sUXX7TWuXDhQhmG4dB4gKPGjx+vc+fOSZJ69uxpVx8XFxe98847km5N0jZnzhzT6gOQMQI3AOQBNzc36883btyw/pzerMZz585VvXr1VKxYMeu6J598MtV29+3bpy5duqh8+fLy8vJSkSJFVLt2bX3++ee6cuVKpnUdP35c7777ru6//34VLFhQXl5eKl++vNq0aaPp06crPj4+3b5HjhxRt27dFBISIi8vL/n6+qpatWoaOHCgYmJi0u137do1jRo1So888oh8fX3l4eGhgIAANW/eXBMmTFBsbGya/U6dOmWttUCBAsqfP79CQkKspyFfu3Yt0+ebUocOHeyaWfrkyZNycXFR+fLl7drGzJkzFRERkebynH5e8fHx+uSTT1S9enUVKlRIBQoUUEhIiDp37qw///wzS6+HGb7++mtJt97nLVq0sLvf448/bj3KPm3aNFNqSyl5srSXXnpJZcqU0WOPPSbp1u9+w4YNpo+fVfv371fXrl1VoUIFeXl5qWDBgqpUqZLatWunBQsW6Pr16+n2zc5nxqJFi9SkSRP5+fnJw8NDRYsW1RNPPKHBgwfrwIEDNm2T940hQ4ZIko4dO2b3PpGeS5cuafr06WrVqpXKlSsnT09PeXt764EHHtB7772nkydPptnPjFrMlLzfFCtWTHXr1rW7X4sWLaxfFuXGfgMgHXl9ETkA3G2UyaRphmEYkZGR1nYhISHW5bNnzzZmz55tVK5c2bqN7t27GxUrVjQ+++wzY+rUqUbz5s0NSUZYWJjNNkePHm24ubkZ7u7uRqdOnYyvv/7aGD16tFG7dm1DklGmTBlj37596da0cOFCI3/+/IYko3Xr1sbkyZONsWPHGq+99prh5uZmSDJ8fHyMw4cPp+o7e/ZsI1++fIa7u7vRsWNHY9q0acb48eONhg0bGpIMX19f49dff03VLy4uzqhWrZohyahbt64xcuRIY9q0acaHH35oBAQEGJKMfPnyGadOnbLpt2fPHqNIkSKGm5ub8eKLLxrjxo0zvvrqK6Nbt26Gl5eXIcl44IEH0n2uadmyZYsxa9Ysw8PDw5BktGnTxpg9e7axZcsWm3aTJk2y/u727t2bahuzZ882qlatatx///3G7NmzjSNHjhjR0dHW360ymFQpO89rz549RqlSpQxJRqNGjYwJEyYYX3/9tdGhQwfD3d3dcHFxMb744ossvSYZsWfStJQuX75sfW3LlSuX5fHCwsKs4/3999+Zts/OpGXly5c37rvvPuu/J0yYYN3WG2+8Ydc2cmvStDFjxlj3+44dOxpTp041Ro0aZbRs2dI6vp+fn3H58uVUfbPzmdGpUydDklG+fHnj448/NqZNm2Z89tlnRq1atazjLlq0yNo+ed94/vnnDUlG8eLFrftE8uPIkSNZeu7Jnx3e3t5Gz549jSlTphjDhg0z6tWrZ0gyChcubGzcuDFVPzNqMQxzJk37559/rOuffPLJLNcUFBRkSDLc3d3TfA8AMB+BGwBymD2Be/r06dZ2b775Zqr1yeGidOnSxhNPPGEkJCRY1yUlJRkVK1a0CdzJs0m7ubkZq1atstlWUlKS8frrrxuSDH9/fyMmJibVeOvXr7fOyPztt9+mWr9582bD09PTkGT88ccfNuvWrFljuLi4GK6ursbq1atT9f3oo4+soTsyMtJm3YABAwxJRosWLVL1i4+PN+6///40A0udOnUMSWkGyL/++svw8vJyeObhBg0aGJKMhg0bprm+SZMm1t/dsGHDUq2/fv264ePjYwwePDjN/hn9Qe7o84qKijL8/PwMScZHH32Uav3q1autv98ff/wxzbqyKquBe+vWrdb2jRo1yvJ4Xbp0sfafP39+pu0dDbxbtmxJ9TpGR0dbv3QqWrSokZiYaNr4WZG837u7u6e57/3www/WGi5cuJBmX0c+M1atWmVIMgIDA42LFy/arLNYLMZrr72W7ns8J2cGf+CBBwwfHx/jwIED6Y7j7++fbtA0c5byCRMmGLGxsZk+XnrppQwD9/z5863ru3btmuWakr/0lGRs3bo1u08RgAM4pRwAcll8fLz1Xq2enp7q06dPum1PnTqlSZMmKX/+/NZlrq6u6tWrl55++mnr9nr16iXp1j3AmzRpYrMNV1dXffnll/L19VVMTIzNJFDSrYmsunbtKovFogYNGqhTp06p6njsscfUsWPHVMuTkpL05ptvyjAMtWvXTo0bN07VZtCgQSpdurTi4uI0bNgwm3WrV6+WpDT7+fj46L333ku1PC4uTr///rskpXquklS1atV079lsj+QJiX777TddunTJZt3ly5cVEREhLy8vSdLy5ctT9U/ul5VTpqXsPa9+/fopNjZWwcHBGjx4cKr1jRs3tk48NmDAgDy5DjnlpQGFChXKcv+Ufc6ePZsjNaUleWK0F1980brM39/fegnH+fPntWrVKtPGt1dcXJx1v2/fvn2a+1Dr1q2tnxMpZfczI3m/Tb4MJCUXFxe77leeU9q1a5fqHvGS9L///U9ly5ZVTEyMFixYkGv1JOvRo4f8/PwyfWRWm7PsNwDSR+AGAJNcv35dZ8+etT5OnDihJUuW6PHHH9fhw4fl7u6u6dOn67777kt3GxUrVlTVqlVTLX/77betfwTPmTPHem11ereK8fX1VfPmzSXduj714sWL1nWrVq3Sf//9J0l65ZVX0q2lZcuWKlasmNzd3W36Hj16VJJtQEnJ3d1dDRo0kHRr0imLxWJdl5SUJEnatGlTmn1btWqltWvXqmTJktZlKfun12/IkCHW63CzKjko37hxwxoskq1atUqJiYnq37+/JGn79u2prk9fvny5SpcurRo1amRpXEef14ULF6x/tLdp08ZmfoCUkoPXP//8kye3t0p5/X+BAgWy3D9ln7i4uByp6XY3b97UokWL9MADD+jBBx+0WZfy/T1//nxTxs+KlPt9Rvtt69atVaxYMZtbr2X3MyN5v921a5cSEhJS9a1QoYLWrl2b5hdHOWnNmjUaMWJEmuvc3NxUrVo1SdLGjRtNrSMt77//vtauXZvpI60vSlJyhv0GQMYI3ABgkgULFtgcyShbtqxat26t/fv3q379+tq4cWOGfyhLSvPIze1+/fVX6881a9ZMt13yusTERG3ZssW6PDw83PpzRiGxSZMmOnv2rE0QSdk3MDDQ5guGlI8iRYpIuvXH46FDh6x9kicAWrhwodq0aaNt27bZjFm0aFE1bNjQ5gh/kSJFrK9Lr1691K9fP2voT1ahQoUsTS50e9/k7a9YscJm3fLlyxUaGqouXbpIkgzD0E8//WTTZsWKFXbdtud2jj6vzZs3WyfeCw4OTvd34O3tbe2zY8eOLNeXXSmPtKUV0jKTss/tR1Vzyrp163TmzBm99NJLqda1bt1aHh4ekm69D+yZhNBM9u63Xbp00dmzZ21e/+x+ZiS/ByMjI1W3bl39+OOPqSZ/bNiwoUqVKpWFZ5R1AQEB8vHxsf778uXLOnfunPU9nxw2o6OjTa0jLVWqVFHDhg0zfWT2GjnDfgMgYwRuADBJ48aNbY5krFu3Ttu3b9e5c+e0fv161alTJ9Nt2HMKYfJtxZJnGE5P6dKlU/W5/eeAgIBMx0trbEl6+OGH0z1tcvz48dZ2KY8IDx482BrgFy9erDp16qh8+fLq06ePtm7dmu6406ZNU5EiRZSYmKhRo0apfPnyql27toYPH57ubdZOnTqlw4cPp3ocO3YsVdvko9y//PKL9chzUlKSfvnlF7Vo0cLmCHbK08r37t2rY8eOZfl08uw8r5TL33777XR/B23btrW2y2jWeLP4+flZf3bkSFvKI30pt5WTUs5OfruiRYuqUaNGkqQrV65o2bJlptRgr5T7feHChR3u68hnxgsvvGA94v/HH3+oVatW8vf31+uvv65ly5bl2j2fDcPQd999p6eeekre3t7y8fFR8eLFU52undU7FtxJnGG/AZAx98ybAAAcUapUKTVs2DBb20h5Gmh6Ll++LEk2R4HTknJ9yj/Ckvvbs430xpakZcuW2XXKY8oj5CVKlND27dv11Vdf6auvvtLhw4d19OhRjRkzRmPGjNGDDz6osWPHpnod69atq7/++ktjx47VzJkzdf78ee3YsUM7duzQBx98oGbNmunLL7+0ud/5q6++qt9++y1VPUFBQYqMjLRZ1qJFC40cOVJnz57V1q1bVbduXW3evFnnzp3Ts88+K+nWtd67d+/WunXrlJCQIC8vL61YsUIFChSwnkKfVY48r5S/g08++USPPvpopuOUK1fOofqy48EHH5S7u7tu3rypw4cPZ7n/v//+a/25Vq1aOVmapFtHApcuXaoHH3xQhQsXTvN616ZNm+qXX36RdOta78zOUDGTvft9dvqm95nh4uKiBQsWqE2bNvryyy+1ceNGXbhwQbNnz9bs2bNVokQJffTRR9b7p5vh5s2batWqlVasWCEPDw916tRJjz32mEqVKmW9FdaoUaO0Zs0a02rIDdWrV7f+nJ39Jl++fHrooYdyrC4A9iNwA4CTSz6lMrOjOCnXpzy1MOUpmdeuXcvSxDwp+9auXdvmWmt7eXl56b333tN7772n7du3a+HChZo7d65iYmK0b98+NWnSRKtWrbIeXUwWGBio0aNH6/PPP9eaNWs0f/58LVmyRAkJCfrll1+0fft27du3T/7+/lmu6dFHH1WxYsV07tw5rVixQnXr1tWyZctUtmxZ6x+tLVq00CeffKKrV69q3bp1atGihVasWKFGjRo5FIIcfV4pfwf33Xdftr/kMYu3t7dq166tLVu2KDIyUhcvXrT7yKzFYtHevXsl3fqCJOUXDjll+fLlunz5svbt22fXkcA1a9bo3LlzKlasWI7XYg979/vs9E3vMyNZmzZt1KZNG0VGRmrhwoWaPXu29u/frzNnzqhnz56KjY3VJ598kuX67DFp0iTrJR/z589X69atU7WZM2eOKWPnpkqVKikgIECnT5/W3r17ZbFY7PoiVpIuXrxoPYPn0UcftU72CCB3cUo5ADi5kJAQSbeO0KWc2Oh2p06dsv6cMrAk95ek06dPOzS2JB0/fjxLfdNSu3ZtjR49WsePH9eoUaPk4uIii8Wijz76KN0+Hh4eat68uebMmaPjx49bJ4E6e/asxowZY20XEREh49btMG0etx/dlm5NuNS0aVNJsl6jvWLFCptTxWvWrGm9/nLFihU6c+aMtm/f7vDp5I4+r5z+HZjpjTfekJT2te8ZST67QJLefPNNU2qbO3euvLy8tHLlygwnuUo+w+HGjRv6/vvvc2z8iIgI/f3333a3t3e/z07f9D4zbleuXDn1799f+/bt008//aSiRYtKkj7//HPTJupKfu0DAgLSDNt3k+T95uzZszbX0mdmxYoV1jsSmLXfAMgcgRsAnNxTTz1l/XnXrl3ptkuemTpfvnx67LHHstx//fr1atOmjWbPnp1m39snPEvp+vXrKlasmIoVK2YzudLo0aNTzQSeXGPfvn2tt7Lat2+fdd3Fixf10Ucf2Uy+lqx48eKaMWOG9Vr0lP2yKjk479+/X7/88ov+/fdfmzDt4uJinRztp59+sv5xmzyzc1Y5+rwee+wx5cuXT1LGvwNJatasmdzd3fNk0jTp1i2cKlWqJEmaOHGi3f2S2/r5+emdd97J8bqSb/XVsmVLPf300xlOcpXyNOmcnK38qaee0ueff56l9sky2m/nz5+vNm3a2Oxn2f3MWLJkiaZMmZJmn+bNm+vTTz+VdOtLidvfz8mne2fXmTNnJNleZ367lJdbpCWnajHbu+++az2TIiv7zaRJkyTdmsAtvbtIADAfgRsAnNyrr75qPd0z+R7Ct4uPj7ceUWzXrp3N6aFNmjSxHr1Kr7906w+9xYsX28yqm7LvrFmz0u37ww8/6Pz582rVqpV1pmdJmjBhgr755pt0+yWPlfLU44sXL2rYsGFau3Ztmn08PDxUvHjxVP2yqkmTJtZae/ToIR8fH5ugIv1fKI+KitJnn32m0NBQh06rlxx/XoULF7Ye/V61alW6E6IdO3ZMa9asUYUKFUy5Btoebm5uWrhwoQoUKKBt27bpq6++yrTPL7/8okWLFsnNzU3z5s2zOYU+p3z//fe6ceOG2rdvn2nb+vXrKzAwUNKt202dPHkyx+uxhz37vSSNHDlSS5YsUXBwcJb6ZvSZsXz58gzvtZ3yM+L2fTB5noeUX7xJUtu2bbN0jXHyGEeOHLG5pV4ywzC0Z8+eDLeRU7WYzdfXV3PnzpWrq6sWLVpknUcgI1999ZW2bdumggULauHChXafhg4g57H3AYCTK1SokHUW8O+++y5VYLNYLHr33XcVFxcnf39/DR8+3Ga9q6urvv76a7m6uurXX3/VzJkzU43xww8/aOnSpXr00UdtrhFO2XfXrl0aOnRoqr6HDh1Sr1695OPjk+ap4cuXL9fOnTtTLb9w4YL1Gs0XXngh1foxY8akeTrszp07deDAgXT72cvX11f16tWTJP33339q3Lix9UhysoYNG1qvi/zvv/9y5HRyR57X8OHD5e/vr6tXr6pz5866fv26zfpLly7plVdeUVJSkoYPH56nR/YefvhhLViwQF5eXurRo4e+/PLLNAOTdOvWem3btpW7u7umTp1q2vXp8+bNU0BAgF3bd3V1tX7BYRhGnt2T+/b9ft26danafPHFF9qzZ49efPFFVaxYMd2+Wf3MkKTY2Fh9+eWXqZYbhmE9C+bhhx/WfffdZ7M++d9nzpyxXiN+/fp1rVu3LtX7NiPJp5GfP38+zXtxjx49Ot2Z/XO6ltzQpEkTTZ48Wa6urmrbtq11BvbbWSwWjR8/Xj169FDBggW1aNGiVPeUB5C7mDQNAHLAX3/9pb/++stm2X///WedtKdChQp2zR69dOlSXb582XqUMuU2HnrooXSPurRv317nzp1Tv3791KxZM7Vv31516tTR5cuXtWDBAm3btk1lypTRL7/8ohIlSqTqX79+fc2bN08dOnRQx44d9csvv6h+/fq6fv26Nm3apMWLF6t8+fJp/pGXsu///vc//frrr3ruueeUL18+/fXXX5o5c6Y8PDz0ww8/KCgoyKavj4+Pjh07prp16+rll19WtWrVVLBgQR09elSzZ8/WyZMn9dhjj1lPUZVund7q6emp//77TyEhIWrfvr3uu+8+JSUlae/evZozZ45u3rypd955Ry1btsz0Nc9IixYttH79euvPt/Py8lKDBg2sRwLTC9wxMTGpQs3WrVvl7u4uf39/NWrUKFvPy9/fX+vWrVOzZs30888/66GHHtJrr72mkiVL6siRI5o1a5aio6M1bNgwtWrVKluvydatW3XkyBGbWbz/+usv6/u0Xbt2mW6jRYsW2rBhgzp37qxevXppwoQJatmypcqXLy83NzcdP35cP/30k/78809VqFBBU6dOtXvm9+Q6Uu6PS5cuVfHixVPth0uXLtXZs2e1ceNGPfnkk5o/f36G+2ry79HT09O6bMaMGSpVqpT19/jFF19Iks21tsm3e8tpKff7pk2b6vXXX1edOnUUFxentWvXas2aNapVq1aaZxJk5zMj+SyDXr166eeff9ZTTz0lPz8/nTlzRkuWLNHOnTtVsmRJ623WUmrUqJH8/f0VExOjdu3aqXHjxlq2bJkuXLigfv362f3cu3Xrpp9++klr167VBx98oE2bNqlhw4ZycXHRunXrtHbtWpUrV06RkZGKiYnRnDlz5O3tbbPv5FQta9euVUxMjA4ePGhdlrx/3z6mdOu2cj/++KOkW5/xyTL7rH/zzTdVrlw5devWTS+//LI+//xzPfPMMypbtqySkpL033//aenSpTp8+LCqV6+ub7/91maWcwB5xAAAZNugQYMMSek+2rdvb9d2goKC0t3GoEGDMu2/d+9eo3Pnzka5cuUMT09Po1ChQkatWrWMzz77zLh06VKm/SMjI42ePXsalSpVMgoUKGDkz5/fePDBB42PP/7YiIuLy3LfypUrG7169TKOHTuWZp9r164ZCxYsMF599VWjcuXKRoECBQw3NzejWLFiRv369Y2vv/7auHHjRqp+sbGxxoQJE4xnnnnGKFu2rOHp6Wnky5fPCAwMNFq3bm2sXr060+dqjyNHjhiSDFdXV+PMmTNptpk6daohyShbtmy62wkPD0/39xoWFpZjz+vSpUvG8OHDjdDQUKNQoUKGh4eHERgYaLz88svG1q1bHXoNbte+ffsM3+tZkZSUZHz//ffGq6++aoSEhBje3t6Gl5eXUa5cOaNVq1bGzJkzjcTExCxtMyv7YVr7W0b7qj2/x4zGz+xh7+fE7fbt22d07tzZCA4ONjw9PY2CBQsatWrVMr744gvj+vXrGfZ19DMjPDzc6NGjh1GjRg2jcOHChpubm+Hj42PUrFnTGDRokHHu3Ll0+/75559GkyZNjEKFChleXl7GAw88YEyYMMFISkrK0vO+ceOGMW7cOKNWrVpGgQIFjHz58hlBQUHG66+/bvz111+p3qtBQUGm1BIWFpbu7zStMY8ePZrh+yCzz/rr168bM2bMMFq1amWUK1fO8PLyMgoWLGhUqFDBePXVV43FixcbFovF7voBmMvFMP7/9IUAAAAAACDHcA03AAAAAAAmIHADAAAAAGACAjcAAAAAACYgcAMAAAAAYAICNwAAAAAAJiBwAwAAAABgAve8LgC5z2Kx6PTp0/Lx8ZGLi0telwMAAAAATsMwDF26dEkBAQFydc34GDaB+x50+vRplSlTJq/LAAAAAACndeLECQUGBmbYhsB9D/Lx8ZF06w1SqFChPK7m3mGxWBQbGys/P79MvwkDkH3sc0DuY78Dchf7XN6Ij49XmTJlrLkqIwTue1DyaeSFChUicOcii8Wia9euqVChQnwgArmAfQ7Ifex3QO5in8tb9lyey28FAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwgXteFwAAAAAAZnJxyesKzOIqqWReF2Eqw8jrCrKHI9wAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDAfQ+ZNGmSqlSpotDQ0LwuBQAAAADuegTue0j37t114MAB7dixI69LAQAAAIC7HoEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4nVRSUpLGjRun0NBQVatWTUFBQWrWrJkOHTqU16UBAAAAACS553UBcEy3bt0UExOjX3/9VT4+PoqJiVFoaKj+++8/VaxYMa/LAwAAAIB7HoHbCW3YsEEzZ87UqVOn5OPjI0ny9/fX4sWLVbZs2TyuDgAAAAAgOfEp5b1795aLi4vKlSuX16WksmXLFlWqVEkuLi6KjIzM8e1Pnz5dNWvWlJ+fn83y0NBQ+fv75/h4AAAAAICsc8rAvW3bNn355Zd5XUYqCQkJ6tOnj+rVq5fla6lXrVqlRo0aqWjRoipYsKBq1KihiRMnymKxpGr7+++/q2zZspo4caJq166tihUrqkWLFtq1a1dOPRUAAAAAQDY5XeBOTExU586dFRgYmNel2Dhy5IiqVaumxYsXa+XKlVnqO2LECDVt2lT58+fX2rVr9ccff6hRo0bq0aOHWrZsqZs3b9q0P3HihH7++WeFh4crPDxce/fuVWBgoOrVq2fKEXUAAAAAQNY5XeD+7LPPdOrUKX3++ecOb+PIkSM52k6S9u/frwYNGmjfvn1q1KiR3f02btyoAQMGqEqVKlqyZIlq1qypihUrasSIEeratatWrFihESNG2PS5du2arly5oi+//FIFCxaUp6enRo0aJVdXVw0bNszusQEAAAAA5nGqwL1//34NHz5cX3zxhUqVKuXQNvr3769q1appy5YtmbZ7+OGHtXnzZru227x5c02ePFne3t5Zqmfw4MGSpB49esjDw8NmXZ8+fSRJI0eOVEJCgnW5j4+PihUrptKlS1uXeXt7KyQkRH/++WeWxgcAAAAAmMNpArfFYlHnzp31+OOPq3Pnzg5vp3bt2rp27Zqefvpp/f7772m2+eCDDzRy5EgFBAQoODjYru26ublluZbY2FhFRERIkho0aJBqfaVKlRQYGKj4+Hib09QrVaqU5rXdbm5uunz5cpbrAAAAAADkPKcJ3OPHj9dff/2lr7/+Olvbad26tebOnaurV6+qSZMm2rZtm836//3vfxo+fLgqVKig8PBwBQQEZGu8jOzcuVMWi0UeHh6qUKFCmm0qV64sSdqxY4d1WfPmzXXhwgWdPn3auuz69es6fPiwatasaVq9AAAAAAD7OUXgPnr0qD766CN98skn6QbTrGjbtq2+++47Xb58WU2aNLGG2cGDB2vo0KEqX768IiIibE7ZNkPyNeJ+fn5ydU37V5F86nzK68l79Oih0qVLa+DAgdYj3UOHDtWNGzc0YMCAdMebNGmSqlSpotDQ0Jx6CgAAAACAdDhF4O7atavuv/9+9e7dO8e2+corr2jmzJm6dOmSGjdurLfeektDhgxRcHCwIiIicmUW9Pj4eEmSl5dXum0KFCggSYqLi7MuK1KkiCIiInT+/HkFBwerQoUK2rZtmzZs2KAHHngg3W11795dBw4csDlaDgAAAAAwh3teF5CZb7/9Vr/99pt27tzp0HXSGXnttdeUlJSkTp06aerUqQoKClJ4eLjKlCmTo+OYISQkRCtWrMjrMgAAAAAA6bijj3BHRUWpb9++6tevnx5++GFTxjhz5owMw5AkXb16NVcnHStUqJAk2cxAfrurV69Kknx9fXOlJgAAAABAzrijA/eaNWt08eJFjR07Vt7e3jaPpk2bSpKOHz9uszwrRo8erf79+6t06dL69NNPdfbsWdWvX1/79+834+mkknw9emxsbJqzjku3vnRI2RYAAAAA4Bzu6FPKW7Vqpbp166a5btu2bWrXrp0CAgKst9bKinHjxqlv374qXbq0IiIiFBISIn9/f7355puqX7++wsPDVaVKlWw+g4zVrFlTrq6uunHjho4cOaL77rsvVZu///5bkpjoDAAAAACczB0duH18fOTj45PmupMnT0qS3N3dFRISkqXtTpgwQb1791ZAQIDCw8Ot/bt27SqLxaJu3bpZQ/f999+fvSeRgRIlSigsLEzh4eFav359qsD9zz//6OTJk/Lx8dHTTz9tWh0AAAAAgJx3R59SbobJkyerZ8+eKlWqlMLDw1OF3DfffFOTJk1STEyM6tevbz3CbJZBgwZJkiZOnKibN2/arBs9erQk6f3337fOVg4AAAAAcA5OF7hjY2MVHR2t8+fPS5KSkpIUHR2t6OhouyY8S0xMtIbtihUrptmmW7dumjhxogzDSBWC7aktOjo6w2UphYWFadiwYdq/f7+ef/557d69W4cOHdKAAQM0bdo0NWvWTAMHDrS7BgAAAADAncHFSJ6i20mUK1dOx44dS3PdoEGDNHjw4Ey3ERcXZ9es3xcvXlThwoVzpDZJyuilXrlypUaPHq2dO3fqxo0bqlixojp27Kju3bvn+O3Q4uPj5evrq7i4OOtM6TCfxWLRmTNnVKJECbm6Ot13XYDTYZ8Dch/7He5ULi55XQEcdSem1azkqTv6Gu60REZGZnsb9t5iKythW8pebU2bNrXOvA4AAAAAcH589QgAAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwO2kkpKSNG7cOIWGhqpatWoKCgpSs2bNdOjQobwuDQAAAAAgyT2vC4BjunXrppiYGP3666/y8fFRTEyMQkND9d9//6lixYp5XR4AAAAA3PMcDtwbNmzQY489Jnd3Mntu27Bhg2bOnKlTp07Jx8dHkuTv76/FixerbNmyeVwdAAAAAEDKxinlTz31lC5cuJCTtdw1tmzZokqVKsnFxUWRkZE5vv3p06erZs2a8vPzs1keGhoqf3//HB8PAAAAAJB1DgduwzD0zDPPaPr06bp69WpO1pRKdHS0vv32W7Vq1UpBQUHy9PSUl5eXKlasqDfffPOOuW45ISFBffr0Ub169bJc06pVq9SoUSMVLVpUBQsWVI0aNTRx4kRZLJZUbX///XeVLVtWEydOVO3atVWxYkW1aNFCu3btyqmnAgAAAADIpmxNmlajRg19+OGHKlWqlN544w3t3Lkzp+qy8cwzz6hLly4qVKiQ5s2bp0OHDmnjxo165pln9PXXX6t69eratGmTKWPb68iRI6pWrZoWL16slStXZqnviBEj1LRpU+XPn19r167VH3/8oUaNGqlHjx5q2bKlbt68adP+xIkT+vnnnxUeHq7w8HDt3btXgYGBqlevnilH1AEAAAAAWZetwD1kyBCdOHFCM2bM0KlTp1SnTh1Vq1ZNkydPVlxcXE7VKElq3ry5Zs6cqbp16yooKEi1atXSmDFj1L59e129elWDBw+2e1tHjhzJ0XaStH//fjVo0ED79u1To0aN7O63ceNGDRgwQFWqVNGSJUtUs2ZNVaxYUSNGjFDXrl21YsUKjRgxwqbPtWvXdOXKFX355ZcqWLCgPD09NWrUKLm6umrYsGF2jw0AAAAAMI/Dgfvo0aPy8/OTu7u7WrVqpZ9//lmRkZFq1aqVRo0apYCAAHXo0CFHjjx/9tln+uKLL9JcV7NmTUnSmTNn7NpW//79Va1aNW3ZsiXTdg8//LA2b95s13abN2+uyZMny9vb2672yZK/KOjRo4c8PDxs1vXp00eSNHLkSCUkJFiX+/j4qFixYipdurR1mbe3t0JCQvTnn39maXwAAAAAgDkcDtxBQUFycXGxWRYYGKiPP/5Y//33n2bOnKlly5YpLCxM999/v8aMGaOzZ886NFbjxo1VuXLlNNf9/vvvkmT3UeXatWvr2rVrevrpp619b/fBBx9o5MiRCggIUHBwsF3bdXNzs6tdSrGxsYqIiJAkNWjQINX6SpUqKTAwUPHx8TanqVeqVCnNa7vd3Nx0+fLlLNcBAAAAAMh52TqlPC2bN29Wx44d1bFjR8XFxckwDEVHR2vKlCkKDAzUyy+/rH379mVrjBs3bujQoUPq3bu35s2bp1atWmno0KF29W3durXmzp2rq1evqkmTJtq2bZvN+v/9738aPny4KlSooPDwcAUEBGSr1ozs3LlTFotFHh4eqlChQpptkr9o2LFjh3VZ8+bNdeHCBZ0+fdq67Pr16zp8+LD1iD8AAAAAIG85HLjd3Nysp3GfPXtWo0ePVpUqVVSvXj199913unr1qp544gnNmjVLUVFROnTokNatWyd3d3fVrl1bixYtcmjcl19+WZ6enqpUqZJWrFihpUuXavHixfLy8rJ7G23bttV3332ny5cvq0mTJtYwO3jwYA0dOlTly5dXRESEzSnbZki+RtzPz0+urmn/KkqVKmXTVrp1+nnp0qU1cOBA65HuoUOH6saNGxowYEC6402aNElVqlRRaGhoTj0FAAAAAEA6snVbsLVr16pt27YKDAxUv3799Pfff8vPz099+/bV33//rd9++02vvfaa8ufPL0l6/PHHNXv2bM2aNUsfffSRQ+OOHTtWBw4c0OrVq/XYY4+pZcuWatu2rS5evJil7bzyyiuaOXOmLl26pMaNG+utt97SkCFDFBwcrIiICAUGBjpUX1bEx8dLUoZfFhQoUECSbCahK1KkiCIiInT+/HkFBwerQoUK2rZtmzZs2KAHHngg3W11795dBw4csDlaDgAAAAAwh3t2Or/++usyDEOurq5q0qSJunTpomeffVbu7hlv9uGHH9bx48cdGrNkyZIqWbKkKleurMaNG8vPz09jxozR0aNH9fvvv2fpWurXXntNSUlJ6tSpk6ZOnaqgoCCFh4erTJkyDtWWm0JCQrRixYq8LgMAAAAAkI5sXcNdpkwZDRo0SEePHtUvv/yiVq1aZRq2165dq1deeUXFihXLztBWgwcPVr58+bRz506HAuiZM2dkGIYk6erVq7k66VihQoUkyWYG8ttdvXpVkuTr65srNQEAAAAAcka2Avf27ds1aNCgLB0Rvnr1qh599FH1798/O0Nb+fj4qFy5cpKkrVu3Zqnv6NGj1b9/f5UuXVqffvqpzp49q/r162v//v05UltmkidKi42NTXPWcUmKioqyaQsAAAAAcA4On1I+Y8YMh466Pvfcc3ruuefsbn/69GktX75cXbt2Tfd08YIFC0qSEhMT7d7uuHHj1LdvX5UuXVoREREKCQmRv7+/3nzzTdWvX1/h4eGqUqWK3dtzRM2aNeXq6qobN27oyJEjuu+++1K1+fvvvyWJic4AAAAAwMk4fIS7ffv2OnTokP766680jwj/9NNPio6OzlZxknTo0CF169bNZpbulJJvESbduq7ZHhMmTFDv3r0VEBCg8PBwa7+uXbvqq6++UmxsrOrXr6+DBw9mu/6MlChRQmFhYZKk9evXp1r/zz//6OTJk/Lx8dHTTz9tai0AAAAAgJzlcODetGmTqlWrpurVq6tevXqp1o8fP15BQUGaNm1atgpMNmXKlDSXf/HFF7py5YoKFiyo1q1bZ7qdyZMnq2fPnipVqpTCw8NTHVV+8803NWnSJMXExKh+/frWI8xmGTRokCRp4sSJunnzps260aNHS5Lef/9962zlAAAAAADn4HDgnj9/vjw8PDRs2LA0j3BPnz5d7777rrp165bm0Vt7JU/CNm7cOHXo0EG//fabjh49qk2bNuntt9/Whx9+KE9PT82cOVMlS5bMdHuJiYnWsF2xYsU023Tr1k0TJ06UYRipQnBGYmNjFR0dbXNkP61lKYWFhVlfw+eff167d+/WoUOHNGDAAE2bNk3NmjXTwIED7a4BAAAAAHBncDGSp+jOooceekgvvviiPvzwwwzbDRw4ULt379bq1asdKlCSdu/erfnz52vDhg36999/FR8fL09PTwUHB6t+/frq0aNHmtc/pycuLs6u688vXryowoUL273dcuXK6dixY+muz+ilXrlypUaPHq2dO3fqxo0bqlixojp27Kju3btn6VZn9oiPj5evr6/i4uKsM6XDfBaLRWfOnFGJEiXk6pqt+QoB2IF9Dsh97He4U7m45HUFcJRjadVcWclTDgdub29vbd26VVWrVs2w3V9//aWnn35ap0+fdmQYmIDAnTf4IwTIXexzQO5jv8OdisDtvJw9cDv8SWixWOTj45Npu0KFCunixYuODgMAAAAAgFNyOHAHBQVpzZo1mbZbs2aNgoKCHB0GAAAAAACn5HDgfu6559SvXz8tWbIk3TY//PCD+vfvr5YtWzo6DAAAAAAATsnd0Y79+/fX/Pnz9cILL6hUqVKqVauW/Pz8JN2amXvnzp2KiopSmTJl1K9fvxwrGAAAAAAAZ+Bw4C5SpIjWrVun1q1ba9++fVq+fLlc/v9sBMnzsD344INavHixihQpkjPVAgAAAADgJBwO3JJ03333ac+ePVq2bJnWrFljvSVWUFCQGjdurOeee44ZKgEAAAAA96RsBW5JcnV11fPPP6/nn38+J+oBAAAAAOCuYPrh5ytXruiTTz4xexgAAAAAAO4opgfuy5cva8iQIWYPAwAAAADAHSVbp5SfPn1aM2fO1J49e3ThwgUlJSWlapOYmJidIQAAAAAAcEoOB+7t27erUaNGunz5snVW8vQkz14OAAAAAMC9Ilv34b5586beffddPfLIIypatKg8PDxStTt37pxeeOGFbBUJAAAAAICzydYR7gkTJqhTp04ZtouJicn0CDgAAAAAAHcbhydNy5cvn5566qlM2/n7+8tisTg6DAAAAAAATsnhwP3EE0/oxIkTmba7ceOGNmzY4OgwAAAAAAA4JYcD9+eff66PP/5Yp06dyrDd+fPn7ToSDgAAAADA3cTha7h/+OEHlS5dWuXLl1eDBg0UEhKiYsWKpZqR/PLly9kuEgAAAAAAZ+Nw4B48eLBcXFxkGIZWrVqVZpvk9dwWDAAAAABwr3E4cEvSe++9J29v7wzbXLp0SWPHjs3OMAAAAAAAOJ1sBe73339fJUqUyLBNdHS0xowZk51hAAAAAABwOg5PmjZ79mwVLlw403bFihVTeHi4o8MAAAAAAOCUHD7C/eqrr9rVzsPDQ2FhYY4OAwAAAACAU3L4CHeya9euafbs2XrrrbfUokULRUdHS5IWLVqkc+fOZbtAAAAAAACcUbau4Y6IiNArr7yimJgY62zkV69elSQNHz5cHTt21OzZs9WqVascKRYAAAAAAGfh8BHuQ4cO6ZlnnlFMTIzq1KmjV199VR4eHtb1P/74o15++WW9+OKL+uOPP3KkWAAAAAAAnIXDR7iHDx8uX19fbdmyRQ899JAkaenSpdb15cqV0zfffKOkpCSNGDFCCxYsyHaxAAAAAAA4C4ePcP/6668aO3asNWynp1u3btqxY4ejwwAAAAAA4JQcDtzR0dGqWbNmpu1Kliyp06dPOzoMAAAAAABOyeHA7evrq2PHjmXabv/+/XbdrxsAAAAAgLuJw4H7scce04ABA5SQkJBum/j4eH300Ud6/PHHHR0GAAAAAACn5PCkaX379lVYWJjKly+vLl26qGbNmrJYLNq9e7f279+v7du3a/r06Tpz5oy++uqrnKwZAAAAAIA7nsOB+/HHH9fYsWP13nvv6bPPPrMuf/HFF60/u7i4aMKECapdu3b2qgQAAAAAwMk4fEq5JPXs2VO//fabmjVrJi8vLxmGIcMw5OXlpWeeeUabNm1St27dcqpWAAAAAACchsNHuJPVrVtXK1askMVi0dmzZyVJxYsXl6trtrI8AAAAAABOzeHAXb9+fUlS0aJF9cMPP8jV1VUlSpTIscIAAAAAAHBmDh+GjoiIUFRUlJo0aZKT9QAAAAAAcFdw+Ai3u7u7Zs+erVq1auVkPQAAAAAA3BUcPsJdunRpFStWLNN2FotFx48fd3QYAAAAAACcksOBu2XLlvr5558zbRcbG6vg4GBHhwEAAAAAwCk5fEr5J598oqZNm8rNzU2dOnWSp6dnum0Nw3B0GAAAAAAAnJLDgfu5556TxWLRO++8o379+ikoKEh+fn5ycXGxaZeYmJhqGQAAAAAAdzuHA3dERIT15ytXrujAgQPptiVwAwAAAADuNQ4HbklavHixihYtmmGbc+fO6YUXXsjOMAAAAAAAOJ1sBe66deuqRIkSGbaJiYnhGm4AAAAAwD3H4VnKN27cqKtXr+rUqVMZtvP395fFYnF0GAAAAAAAnJLDR7jr1asn6VagPn36dI4VBAAAAADA3cDhI9yGYahbt276+++/c7IeAAAAAADuCg4H7oIFC6pPnz4qVKhQTtYDAAAAAMBdweHAXaVKFV24cCHTdleuXNEnn3zi6DAAAAAAADglhwN3z549NXLkyEzbXb58WUOGDHF0GAAAAAAAnJLDk6Y98cQT2rJli+rUqaN33nlHlStXlp+fn1xcXGzanTlzJttFAgAAAADgbBwO3OXKlbOG6/bt2+dYQQAAAAAA3A0cDtySVLp0abm5uWXYJikpKdN7dQMAAAAAcLfJVuDeuXOnSpQokWGb6OhoBQQEZGcYAAAAAACcjsOTpjVo0ECenp6ZtitQoACnnAMAAAAA7jkOH+Feu3atXe0KFSqkGTNmODoMAAAAAABOyeEj3PaKj4/X66+/bvYwAAAAAADcUUwP3AkJCZo7d67ZwwAAAAAAcEdx+JTy+vXr29UuMTHR0SEAAAAAAHBaDgfuiIiITNu4uLjIMAzr/boBAAAAALhXZOu2YEuWLFGRIkVslhmGodjYWB05ckSzZs3SU089pRdffDFbRQIAAAAA4GyyFbgfe+yxDO/D3b9/f7Vr106XLl3KzjAAAAAAADgdhydNs1gsGYZt6dYp5f3799fQoUMdHQYAAAAAAKdk+izl+fLl0969e80eBgAAAACAO4rpgXvOnDny8vIyexgAAAAAAO4oDl/D/cknn6S7LikpSRcuXNDOnTu1bds2Jk0DAAAAANxzHA7cgwcPtt72KyMPPfSQxowZ4+gwAAAAAAA4pWzNUv7ee+/J29s71XI3Nzf5+vqqWrVqevzxx7kPNwAAAADgnpOtwP3+++9nOlM5AAAAAAD3IocnTVuxYoWKFCmSk7UAAAAAAHDXcPgId/PmzXOyDgAAAAAA7ipZCtzr1q3T6dOnJUne3t5q1apVmu1Wr16tAwcO6J133pGHh0f2qwQAAAAAwMnYHbivX7+uNm3a6NKlSzIMQw888EC6gTs6Olp9+vTR7Nmz9csvv6hkyZI5VjAAAAAAAM7A7mu4V69erfj4eJUpU0ZLlizRn3/+mW7bJk2a6I033tC+ffvSDeUAAAAAANzN7A7ca9eula+vr7Zs2aKWLVvK1TX9riVLltSUKVO0aNEi7dq1SwsWLMiRYgEAAAAAcBZ2B+5du3ape/fuCggIsHvjLVu2VLt27TR//nyHigMAAAAAwFnZHbj//fdfNWzYMMsDvPLKK9q1a1eW+yFjSUlJGjdunEJDQ1WtWjUFBQWpWbNmOnToUF6XBgAAAABQFiZNi4uLU1BQUJYHCA4OVmxsbJb7IWPdunVTTEyMfv31V/n4+CgmJkahoaH677//VLFixbwuDwAAAADueXYHbh8fH928eTPLAyQlJcnLyyvL/ZC+DRs2aObMmTp16pR8fHwkSf7+/lq8eLHKli2bx9UBAAAAAKQsnFIeFBSkv/76K8sD/Pnnn/dcCNyyZYsqVaokFxcXRUZG5vj2p0+frpo1a8rPz89meWhoqPz9/XN8PAAAAABA1tkduOvXr6/JkydneYCvvvpKDRo0yHK/lI4fP65PP/1UdevWVZEiReTh4SF/f381a9ZMP/zwQ7a2nZMSEhLUp08f1atXL8vXUq9atUqNGjVS0aJFVbBgQdWoUUMTJ06UxWJJ1fb3339X2bJlNXHiRNWuXVsVK1ZUixYtuFYeAAAAAO4gdgfuN954Qxs2bNCAAQPs3ni/fv20YcMGvf322w4VJ0m//fabKlSooGHDhql+/fpau3atDh48qEmTJunw4cN64YUX9Morr6QZTHPTkSNHVK1aNS1evFgrV67MUt8RI0aoadOmyp8/v9auXas//vhDjRo1Uo8ePdSyZctUp/KfOHFCP//8s8LDwxUeHq69e/cqMDBQ9erVM+WIOgAAAADAAUYWvP/++4aLi4tRq1YtY+bMmcaJEydStTlx4oQxc+ZMo2bNmoarq6vxwQcfZGWIVH788UdDkvHll1+mWnfq1CnDx8fHkGR8/fXXdm/z8OHDOdrOMAxj2bJlRrdu3YxLly4ZhmEYkgxJxtGjRzPst2HDBkOSUaVKFSMxMdFmXdeuXQ1JxtChQ22Wu7q6GpKMkydPWpddunTJ8Pb2Nrp06ZJprXFxcYYkIy4uzs5nh5yQlJRkREVFGUlJSXldCnBPYJ8Dch/7He5UEg9nfdyJspKn7D7CLUmff/65XnzxRe3atUudOnVSUFCQfHx8FBgYqMDAQPn4+CgoKEidOnXS7t271b59ew0dOjTbXwq4ubmpffv2qZYHBASoRYsWkqRFixbZta3+/furWrVq2rJlS6btHn74YW3evNmu7TZv3lyTJ0+Wt7e3Xe2TDR48WJLUo0cPeXh42Kzr06ePJGnkyJFKSEiwLvfx8VGxYsVUunRp6zJvb2+FhITozz//zNL4AAAAAABzZClwu7q6av78+ZowYYJKlCghwzB05coVnT59WqdPn9aVK1dkGIb8/f319ddfa/r06XJxcclWgc2bN9f58+dVqFChNNcHBgZKks6fP2/X9mrXrq1r167p6aef1u+//55mmw8++EAjR45UQECAgoOD7dqum5ubXe1Sio2NVUREhCSleZ17pUqVFBgYqPj4eJvT1CtVqpTmKfRubm66fPlylusAAAAAAOS8LAXuZN27d1dkZKRWrVqlwYMHq1u3bnr77bc1ZMgQrVmzRpGRkerSpUuOFOjh4ZFu2JakqKgoSVLVqlXt2l7r1q01d+5cXb16VU2aNNG2bdts1v/vf//T8OHDVaFCBYWHhysgIMDx4jOxc+dOWSwWeXh4qEKFCmm2qVy5siRpx44d1mXNmzfXhQsXdPr0aeuy69ev6/Dhw6pZs6Zp9QIAAAAA7Gf3fbhv5+npqcaNG6tx48Y5WU+W3Lx5U2vXrpV060sAe7Vt21Y3b97Ua6+9piZNmmjt2rUKDQ3V4MGDNXToUJUvX14RERE2p2yb4ciRI5IkPz8/ubqm/d1HqVKlbNpKt04///rrrzVw4EDNmDFDrq6uGjp0qG7cuJHhpHaTJk3SpEmTlJSUlIPPAgAAAACQFoeOcN8ppk+frujoaHXr1k2hoaFZ6vvKK69o5syZunTpkho3bqy33npLQ4YMUXBwsCIiIqynqpspPj5ekuTl5ZVumwIFCkiS4uLirMuKFCmiiIgInT9/XsHBwapQoYK2bdumDRs26IEHHkh3W927d9eBAwdsjpYDAAAAAMzh8BHuvHb48GH17dtXjz76qMaMGePQNl577TUlJSWpU6dOmjp1qoKCghQeHq4yZcrkcLU5LyQkRCtWrMjrMgAAAAAA6XDKI9xRUVFq3LixQkJCtHLlSuXPn9/hbZ05c0aGYUiSrl69mquTjiVfm55yBvLbXb16VZLk6+ubKzUBAAAAAHKG0wXu06dPq0GDBipRooTWr1+frSA6evRo9e/fX6VLl9ann36qs2fPqn79+tq/f38OVpy+5InSYmNj05x1XPq/SeHSm1QNAAAAAHBncqrAfezYMdWrV08lSpTQunXrVKRIEYe3NW7cOPXt21elS5dWRESEPvroI02dOlWxsbGqX7++Dhw4kIOVp61mzZpydXXVjRs3bCZFS+nvv/+WpCxfow4AAAAAyFtOE7j//fdfPfHEE6pQoYJWrlwpb29v67q//vpLTz/9tN3bmjBhgnr37q2AgACFh4crJCREktS1a1d99dVX1tB98ODBHH8eKZUoUUJhYWGSpPXr16da/88//+jkyZPy8fHJ0vMDAAAAAOQ9pwjc+/fvV7169VSjRg0tX7481aze58+f1+rVq+3a1uTJk9WzZ0+VKlVK4eHhuu+++2zWv/nmm5o0aZJiYmJUv3596xFmswwaNEiSNHHiRN28edNm3ejRoyVJ77//vnW2cgAAAACAc3B4lvLjx4+rTJkycnFxSXP9xYsX9dZbb6l+/frq2rVruu0ys2/fPj311FM6e/asIiMjVbdu3VRtLl26ZPf2EhMTrWG7YsWKabbp1q2bLBaLPv3001QhOCOxsbGp7nEdGxtrndStZMmSqfqEhYVp2LBh+vDDD/X8889ryJAh8vb21vTp0zVt2jQ1a9ZMAwcOtLsGAAAAAMCdwcVInqI7i9zc3BQVFaUSJUqkuf7ChQt68skntX//fg0YMEBDhw51qMBx48apd+/edrW196nExcXZNdnaxYsXVbhwYbu2KUnlypXTsWPH0l2fUX0rV67U6NGjtXPnTt24cUMVK1ZUx44d1b17d7m5udldgz3i4+Pl6+uruLg460zpMJ/FYtGZM2dUokQJubo6xcklgFNjnwNyH/sd7lQOHvvDHcCxtGqurOQphwO3q6uroqOj0w3cyRYuXKgBAwbo6NGjjgwDExC48wZ/hAC5i30OyH3sd7hTEbidl7MHbtM/CWvVqmW9tRUAAAAAAPcKu6/h/uuvv7Rnzx6bZYsWLcow0V+5ckVLliyRv7+/wwUCAAAAAOCM7A7cP/74o4YMGWIz+VmvXr0y7WcYhoYMGeJYdQAAAAAAOCm7A3e1atXUvn17SbdC9OzZs/XCCy+kukVXMldXVxUuXFhhYWF69tlnc6ZaAAAAAACchOmTpuHOw6RpeYOJZIDcxT4H5D72O9ypmDTNed2zk6bNmDHDrltrAQAAAABwL3I4cLdv316enp6Ztrty5Yo++eQTR4cBAAAAAMApmX6uz+XLl5k0DQAAAABwz7F70rSIiAgtWbJEnTp1UrVq1dSpUye7+iUkJDhcHAAAAAAAzsruwN26dWtdvHhRO3fu1JYtWzRz5ky7B3FhlgIAAAAAwD3G7sD93nvvaf78+Xrrrbesy8aNG5fpxGkXL17Ue++953iFAAAAAAA4IdNvCxYTE6NSpUrJYrE4VCByHrcFyxvcKgXIXexzQO5jv8OdihNundc9e1uw8PBwFS1aNNN2RYsWVXh4uKPDAAAAAADglOw+pfx2YWFhdrVLSkrSsWPHHB0GAAAAAACnZPq5PnFxcerYsaPZwwAAAAAAcEdx+Ai3JF29elVLly7Vnj17dOHCBSUlJaVqw23BAAAAAAD3IocD96FDh9SwYUOdOnVKmc27xm3BAAAAAAD3GocDd58+fXT69Gm1bNlSjzzyiIoWLSoPD49U7bgtGAAAAADgXuRw4N6wYYM+//xz9e3bN8N2MTEx6t27t6PDAAAAAADglByeNM0wDLVs2TLTdn5+fjp69KijwwAAAAAA4JQcDty1atXSxYsX7WrLNdwAAAAAgHuNw4H7008/1ccff6xr165l2C42NlbBwcGODgMAAAAAgFNy+BruI0eOqFSpUgoMDFTbtm0VEhKiYsWKpTqaHRcXl+0iAQAAAABwNg4H7g4dOsjFxUWGYWjq1KnptjMMg1PKAQAAAAD3HIcDtyS98MIL8vLyyrDN1atX9cMPP2RnGAAAAAAAnE62AveXX36pEiVKZNgmOjpa33//fXaGAQAAAADA6WRr0jQfH59M2xUuXFgzZsxwdBgAAAAAAJySw0e4P/zwQ7va5c+fX+3bt3d0GAAAAAAAnJLdR7jr169v9323AQAAAAC419kduCMiInTjxg0zawEAAAAA4K6RpVPKe/bsmeGs5G5ubvL29laZMmX0yCOPqG7dutkuEAAAAAAAZ5SlwH38+HHly5cv3fUWi0WXL1/W8ePHde7cOVWuXFlz585V9erVs10oAAAAAADOJEuB+8cff8z0NmDJ9u/fr8GDB6tx48bau3evSpYs6VCBAAAAAAA4I7uv4Q4LC8vw6PbtHnjgAX3//feqUaOGJk2a5FBxAAAAAAA4K7sDd3h4uAoXLpzlAd5++22tWbMmy/0AAAAAAHBmdgduRz344IM6fPiw2cMAAAAAAHBHMT1we3p66tKlS2YPAwAAAADAHcX0wB0TE6P8+fObPQwAAAAAAHcUuwP3d999p+vXr2d5gNWrVysgICDL/QAAAAAAcGZ2B+6OHTsqLi4uSxvfs2ePRo8erUcffTTLhQEAAAAA4Mzsvg+3YRjaunWrihQpkmGbK1eu6NixY/rtt9+0dOlS3bhxQ127ds2RYgEAAAAAcBZ2B25JatWqld1tDcOQi4uLhgwZosceeyzLhQEAAAAA4MyyFLgNw8hwvYuLi7y9vVW2bFnVqVNHXbp00SOPPJKtAgEAAAAAcEZ2B24XFxdFRUWpRIkSZtYDAAAAAMBdwe5J0zI7ug0AAAAAAP6P3Ue4LRaLmXUAAAAAAHBXsfsINwAAAAAAsB+BGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGBGwAAAAAAExC4AQAAAAAwAYHbySQlJWncuHEKDQ1VtWrVFBQUpGbNmunQoUN5XRoAAAAAIAX3vC4AWdOtWzfFxMTo119/lY+Pj2JiYhQaGqr//vtPFStWzOvyAAAAAAD/H4HbiWzYsEEzZ87UqVOn5OPjI0ny9/fX4sWLVbZs2TyuDgAAAACQEqeU56AtW7aoUqVKcnFxUWRkZI5vf/r06apZs6b8/PxsloeGhsrf3z/HxwMAAAAAOI7AnQMSEhLUp08f1atXL8vXUq9atUqNGjVS0aJFVbBgQdWoUUMTJ06UxWJJ1fb3339X2bJlNXHiRNWuXVsVK1ZUixYttGvXrpx6KncEF5e78+Hm5qpSpUrKzc01z2sx4wEAAADAFoE7m44cOaJq1app8eLFWrlyZZb6jhgxQk2bNlX+/Pm1du1a/fHHH2rUqJF69Oihli1b6ubNmzbtT5w4oZ9//lnh4eEKDw/X3r17FRgYqHr16plyRB0AAAAA4DgXwzCMvC7CmS1fvlyrVq3SyJEj5e3tLZf/f6jv6NGjKleuXLr9Nm7cqHr16qlKlSras2ePPDw8rOveeOMNTZs2TUOHDtWHH35oXe7m5iaLxaKTJ0+qdOnSkqTLly+rVKlSeumllzRt2jS7ao6Pj5evr6/i4uJUqFAhB561uTha6pz4JHFe7HPOi/0OdxqLxaIzZ86oRIkScnXluA7uHPxf57zuxP/rspKn+CTMpubNm2vy5Mny9vbOUr/BgwdLknr06GETtiWpT58+kqSRI0cqISHButzHx0fFihWzhm1J8vb2VkhIiP78808HnwEAAAAAwAwE7mxyc3PLcp/Y2FhFRERIkho0aJBqfaVKlRQYGKj4+Hib09QrVaqU5rXdbm5uunz5cpbrAAAAAACYh9uC5YGdO3fKYrHIw8NDFSpUSLNN5cqVdfLkSe3YsUOtWrWSdOto+qBBg3T69GkFBARIkq5fv67Dhw+rRYsW6Y53/fp1Xb9+3frv+Ph4SbdO+0orwOc9vgdyRnfmewn2YZ9zVux3uNNYLBYZhsF7E3cg/q9zVnfi50lWaiJw54EjR45Ikvz8/NK9vqlUqVI2baVbp59//fXXGjhwoGbMmCFXV1cNHTpUN27c0IABA9Idb/jw4RoyZEiq5bGxsbp27Vp2nopJSuZ1AXDAmTNn8roEOIx9zlmx3+FOY7FYFBcXJ8MwuIYbdxj+r3NWd+L/dZcuXbK7LYE7DyQfYfby8kq3TYECBSRJcXFx1mVFihRRRESEevfureDgYLm7u6tChQrasGGDHnjggXS3NXDgQL333ns245cpU0Z+fn535KRpcE4lSpTI6xKAew77He40FotFLi4uGR5UAICsuBP/r8ufP7/dbQncTiYkJEQrVqzIUh9PT095enqmWu7q6sp/hsgxvJeA3Md+hzuRi4sLf2MAyDF34mdJVmq686q/ByQfVU45A/ntrl69Kkny9fXNlZoAAAAAADmLwJ0HkidKi42NTfeC+6ioKJu2AAAAAADnQuDOAzVr1pSrq6tu3LhhMylaSn///bckKTQ0NDdLAwAAAADkEAJ3HihRooTCwsIkSevXr0+1/p9//tHJkyfl4+Ojp59+OrfLAwAAAADkAAJ3Hhk0aJAkaeLEibp586bNutGjR0uS3n//fets5QAAAAAA50LgzgGxsbGKjo5WdHR0hstSCgsL07Bhw7R//349//zz2r17tw4dOqQBAwZo2rRpatasmQYOHJhbTwEAAAAAkMNcDMMw8roIZ1euXDkdO3Ys3fUZvcQrV67U6NGjtXPnTt24cUMVK1ZUx44d1b17d7m5uZlRruLj4+Xr66u4uLg78j7cLi55XQEcwSeJ82Kfc17sd7jTWCwWnTlzRiVKlLgjb+WDexf/1zmvO/H/uqzkKQL3PYjADTPwSeK82OecF/sd7jQEbtyp+L/Oed2J/9dlJU/xSQgAAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmMA9rwsAAAC417i45HUFZnGVVDKvizCNYeR1BQCcDUe4AQAAAAAwAYEbAAAAAAATELgBAAAAADABgRsAAAAAABMQuAEAAAAAMAGB+x4yadIkValSRaGhoXldCgAAAADc9VwMgxsc3Gvi4+Pl6+uruLg4FSpUKK/LSeXuvVXK3Y1PEufFPue82O+cF/udc2Kfc17sc87rTtzvspKnOMINAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQAAAACACQjcAAAAAACYwD2vC0DuMwxDkhQfH5/HlaSnUF4XAAfcue8nZI59zlmx3zkz9jtnxD7nzNjnnNWduN8l15ScqzJC4L4HXbp0SZJUpkyZPK4EdxNf37yuALj3sN8BuYt9Dsh9d/J+d+nSJflmUqCLYU8sx13FYrHo9OnT8vHxkYuLS16Xc8+Ij49XmTJldOLECRUqxLesgNnY54Dcx34H5C72ubxhGIYuXbqkgIAAubpmfJU2R7jvQa6urgoMDMzrMu5ZhQoV4gMRyEXsc0DuY78Dchf7XO7L7Mh2MiZNAwAAAADABARuAAAAAABMQOAGcomnp6cGDRokT0/PvC4FuCewzwG5j/0OyF3sc3c+Jk0DAAAAAMAEHOEGAAAAAMAEBG4AAAAAAExA4AYAAAAAwAQEbgBArpkyZYpcXFysj8GDB+d1SZKkTZs22dTVoUOHvC4JAADcBQjcgAOefPJJmz/O7f0j3TAMNWvWTCEhIYqOjrZZl9b2XFxcNHPmTPOeCJySM7//2rdvr6ioKPXp0yfdNrNmzZKvr6/mzJmTo2Nn5JFHHlFUVJTGjRuXa2MCuS29z47kR4ECBfTggw9qwIABOnfunLVftWrVMuyX1iMiIsLav0OHDqnWz5o1y+66a9SoYdO3XLlyOfiqAHeOrO6jERERWfp7YObMmfydmQcI3IADlixZoqioKD366KOSpD59+igqKkrjx4/PsN/Zs2e1cuVKHTlyRJs2bbJZFxUVpaioKOu/Fy9erKioKL344os5/wTg1Jz5/efl5aWSJUvK29s73TaLFi1SfHy8FixYkKNjZ8TDw0MlS5aUr69vro0J5Lb0PjuioqIUGRmpZcuWqWTJkhoxYoQeeugh/fvvv5Kk9evXp9vv9sf27dtTjTt+/PhUX7QNHTpUSUlJmda8fPly/fHHH5KkRx99VFFRUdqxY0e2XwvgTpTVfbRUqVKKiorShx9+KOnW/7FHjhxJ9++BF198UVFRUQoLC9NLL73E35m5xD2vCwCcUdGiRSVJ+fLlkyR5e3urZMmSmfbz8/PTO++8o3///VcNGza0WXd7/6JFi9q1Tdx77vb33zvvvKPY2Fh17949T8YH7laZfXYEBQWpQYMGeuSRR7Rz50517NhRmzZtUrFixTLsl9K1a9dSLfP19ZWvr6+8vb3l4+Oja9eu6fDhw5o7d65ef/31DGv+9NNPVbRoUZ0/f1758uXj/0Xc1bK6j3bu3FmbNm3SW2+9peHDhyshIUEbNmxI9wi3l5eXzp07p02bNmn9+vXsT7mEI9xALpswYYJWrVqlwoUL53UpuAc5w/uvadOm2r59u5o2bZrXpQD3HFdXV3Xp0kWStHnzZp04cSJL/cuWLavY2FjVrVs3zfVFixZV+/btJWV+lPuXX37RkSNHmFMBSCGtfTQwMFCNGzeWJH3zzTcZ9p8xY4aCg4MVFhZmeq24hcAN5JLBgwdzzQzyTF68/wzD0LRp01StWjV5eXmpePHiat26tQ4ePJhm+8jISJsan3zyyVRtTp48qZ49e6py5coqUKCAfH19VbduXY0YMUJHjx5Ns4Z58+bpqaeeUpEiRZQvXz6VKVNGLVu21PTp03X16tV06z958qReeeUVFS9eXF5eXqpVq5Z++eWXNNv+888/GjJkiB599FH5+/vL09NT5cqVU9euXRUZGZmqfcOGDW2ea2RkpObOnavatWvL29vbZnmyP//8U88995yKFCmiAgUKqGrVqhozZowOHz6c4euWmJiocePGqVatWvL29pa3t7eqV6+uzz//XAkJCek+f9y7ypYta/355MmTdvVJvpb0+PHjKl68uDw8PNJt++GHH8rDw0P//vuv5s6dm267Tz75RL169ZKPj4/9xQP3gLT20c6dO0u6FcL//vvvNPsZhqHp06db2yJ3ELiBXNK3b19FRUWpbdu2eV0K7kF58f57++239cYbb8jX11dr167Vrl271K5dO7Vt2zbN0F2mTBlFRUVp8eLFaW7v1KlTqlGjhlauXKlRo0Zp//792rhxo5566ikNHDhQHTt2tGlvsVjUrl07vfrqqypbtqzWr1+vgwcPaty4cTp48KA6d+5sve7tdmfPntVLL72kV199VTt27NCcOXN07NgxPfvss9q5c2eq9r169dLnn3+ul156Sb/99pv279+v0aNHa8uWLapRo0aqP36+//57RUVFKTAwUJI0cuRILVu2TJMnT9aff/6pbt262bSPiIjQo48+qo0bN2rs2LE6cOCAZsyYod9//11du3aVJAUGBioqKkpLliyx9rty5YoaNWqk3r17q169etq4caM2btyoJk2a6IMPPlBYWJguX76c5muAe9fp06etPxcvXjzHt1+uXLlMj3KvXr1aBw8eVM+ePXN8fMDZpbWPPvvss9af0zvKvW7dOp08edK6/yF3cA03kEuSjyx5eXnldSm4B+X2+2/FihWaMmWKAgMD9csvv6hgwYKSbl1/Vq5cOdWoUSNVHzc3N5UsWdJ6Ddvtpk2bptjYWE2ePFktWrSwLn/ooYcUExNjneAp2RdffKF58+apWbNmNjMiV6hQQTVq1ND9998vwzDSHOvnn3/W5s2b9dhjj0mSgoODdfr0afXs2VNTpkxJ9ceMv7+/RowYYRMOQkJC9Mgjj6hs2bLq27evfvrpJ+u6IkWKWJ+zJO3cuVPbtm2Ti4uLJGn48OFasmSJ3NzclJCQoHbt2ikhIUELFizQs88+K+lWaFmwYIFq1apl8/ql1KdPH23YsEFvvfWWxowZY11evXp1JSYmauzYsRo4cKAmTJiQ5uuAe9OiRYskSVWqVNF9991nyhgffvihZs2apX///Vfz5s3Ta6+9ZrP+008/1TvvvGPdVwD8n7T20Xz58um1117T2LFj9d1332n48OGpzjT55ptv1KxZM5UqVSrXa76XcYQbAJDjkm+v1b59e2vYTla9enU9/vjjWd5mbGysJOn48eOp1vXq1Uu9evWy/vvGjRsaOXKkJKV5hCw4OFjNmjVL9wuISpUqWcN2skceeUSStGfPnlTtZ82aleY4gYGBKl26tNauXavExMR0npnUvXt3a9iWbk0yFR0drTJlyuiHH37QqVOnVLp0aWvYTubq6pru5HLR0dH69ttvJUm9e/dOtf6tt96SJE2fPp1TyyHDMBQZGak33nhDa9asUYECBdI9SvbZZ59Zv8RLfmR1zoWMjnKvX79ee/bsSfN9C9yr7NlHO3XqJOnW/5fLli2zWXfu3DktXbqU08nzAIEbAJCjbt68qc2bN0uSatasmWab+++/P8vbbdCggSSpf//+6tatm3bt2mVd9+CDD+r555+3/nvXrl3W+wiHhoamub0lS5Zo+PDhaa4LCQlJtSz5yPuFCxdSrbNYLPr222/VoEEDBQQEyMfHxxpETp06pcTERJ09ezbd55bR6/Hbb79JyvprGR4erps3b6pQoUJpHqUsV66cXFxcdPXqVettl3BvSRmc8+fPr+DgYM2bN09t2rTRrl27rLcmut1bb72lPXv22Dwym6gpLcnXch86dEjz58+3Lv/kk0/UrVs3U05nB5xJVvfRBx98ULVr15aU+rTy7777TsWKFVPz5s1zrX7cwinlAIAcdfbsWV2/fl3SrVuRpcWRW5G0atVKo0aN0pAhQzRlyhRNmTJFZcqUUatWrfTmm2/aBM9jx45JunUEOL1T1DOSfBuklNzdb/2Xefv1poZhqGXLllqxYoUeffRRTZ06VSEhIdZT+Z588klr6E5Peq+T9H8T4mT1tUw+E+DSpUvpTjqVfEr9qVOn0h0fd6+33nrLemaGi4uL8ufPr5IlS1ovdUhP0aJFU30pFRISoldffTVL45crV06vv/66vv32Ww0dOlQvv/yyNm7cqB07dlhPmQXuZY7so507d9b27du1du1aHT9+3DrB2rfffqsOHTpkun8j5xG4AQCmSe8aaUf17dtXb775phYtWqRFixbp119/1fjx4zVx4kSNGDFCffr0yZFxUp7enZnFixdrxYoV8vPz06pVq1SoUCGb9clBPbvjOfpalilTRuvXr8+wjb+/v0PbhnNLKzjntg8//FDfffed/vnnH82fP1/Tp09X165deU8Ccmwffemll9S7d29dvXpVM2bM0KBBg/T777/rwIEDWrp0qTmFIkOcUg6YzDAMXbt2TRaLJa9LwT0oL95/xYsXl6enp6T/u+76dtHR0Q5v38fHR507d9bq1at16tQp9e3bV0lJSerXr5/++ecfSbcmZ5Nunep9/vx5h8eyR/Ip33Xq1EkVtnNC8kzmWX0tk1+D+Ph4hYSEZPjgtkvISfHx8bp27ZpdbYODg/X6669LujXXwJYtW9SvXz8zywPuaoUKFVKbNm0k3brntsVi0TfffKOwsLA8/4LtXkXgBkx27NgxeXl5acOGDXldCu5BefH+c3d3V926dSXJ5jrrlNK7F3dGvvnmGy1YsMBmWYkSJTRq1Cg1aNBAFotFf/75p6Rb1zsnnxa+ffv2NLfXo0ePdCccy4qMvsywWCzZ+nJBksLCwiRl/bV86qmn5OHhoYsXL6aawT3Z+PHjFRoaqvj4+GzVCKT00EMP6fPPP7e7ffK13GfPnlXHjh1VunRpE6sD7n7JE6MdO3ZMP/74oxYuXMhkaXmIwA0AyHHJM4Z/9913unLlis26P/74Q5s2bcryNjdt2qSJEyemue7GjRuSZL1WzcPDw3qULK1bXu3bt0+TJ09WuXLlslzH7ZInqNmyZYvi4uJs1i1fvtx6Pbuj2rRpo9KlS+v06dNavny5zTqLxaJJkyal2c/f319dunSRJI0ePTrV+tjYWI0YMUJBQUGmHJkH7BUcHKwhQ4boueee04ABA/K6HMDp1atXzzpZZteuXeXu7m496o3cxzXcgAOOHj2qK1euWIPEmTNntG/fvjTbnj59WpJ0+fJlRUdHW2+/ExcXp+joaBUtWlT58uVLdRTs/Pnzio6Olq+vL/fuhg1neP89++yzeuuttzRlyhQ1b95cw4YNU5kyZbR792717dtXjz/+uDZt2mSty9fXV/ny5VNsbKz1FPDExERFR0fLy8tLvr6+kqTNmzerXbt26tatmwIDA3Xu3DnNmjVLGzZs0PPPP686depYa+jbt6/27Nmj+fPnq0OHDurVq5d8fX21bds29e/fX48//rj1i4GkpCTFxsZaA3NCQoLN84+NjbWe0p2UlGRT10svvaRx48Zpz549at68uYYOHarAwEBt3LhR77//vtzd3XXz5k3FxsaqYMGC8vPzU1xcnBISEqwTsMXGxip//vzW2WhT8vLy0pw5c9SsWTN16NBBY8eO1ZNPPqmzZ89qxIgRqlatWrqzjI8ePVp///23pk6dKjc3N3Xt2lW+vr7as2ePPvroIxUsWFCTJ0/O8u8Xzun8+fNKTEy0TuCXvP9JGU9keOTIESUkJNj1mSP93xdgyS5fvmx9JO8/t485cODAVNtJ2U/6v88ENze3DCcaBJyVo/toWjp16qSBAwfqwoULevvtt5U/f/4crxd2MgBkWVhYmCEpS4/0+oSHhxuGYaTbb8aMGXn6XHHncZb3n8ViMaZOnWo89NBDhqenp1G4cGGjUaNGRkREhDFo0CCbcb766ivj6NGjadbQvn17wzAMIyYmxpg0aZLRsGFDw8/Pz3B3dzf8/f2Nxx9/3Jg1a5Zx48aNNGuYM2eOUa9ePcPX19coWLCgUbVqVWP48OHGlStXrO3SGzv5+QcFBaVbl2EYxsWLF42ePXsaZcqUMdzd3Y0iRYoYTZo0MX799VebvkFBQYZhGEb79u3THG/QoEHpvp579uwxWrRoYfj6+hpeXl5G9erVjW+++cb477//DElGcHBwmv0SExONiRMnGrVr1za8vb0NHx8fo2rVqsb//vc/49y5c1n6ncK5ZfTZkZGHH344y585Kd/Lt+/v9oyZUb/k/Qi42zi6j6bl9OnThpubmyHJ2L17twnVwl4uhpHDU8gCAIBcs3fvXj300EOqXr26du/endflAACAFLiGGwCAO9zPP/+srVu3prnuwIEDkqSHH344N0sCAAB24BpuAADucN9//72OHz+uX3/9NdW6adOmSZI6duyY22UBAIBMcIQbAAAnEB4ero4dO2r79u06ceKEtm7dqrZt22r9+vXq16+f6tWrl9clAgCA23ANNwAgQ3PnztWbb75pV9snnnhCK1euNLmie8/Bgwc1Z84crVmzRidPntS5c+fk7e2tWrVq6e2331bLli3zukQAAJAGAjcAIEOXLl1STEyMXW29vLxUunRpkysCAABwDgRuAAAAAABMwDXcAAAAAACYgMANAAAAAIAJCNwAAAAAAJiAwA0AAAAAgAkI3AAAAAAAmIDADQCAk3ryySfl4uKS7qNAgQJ68MEHNWDAAJ07dy6vywUA4J5D4AYAwEktWbJEUVFRevTRRyVJffr0UVRUlKKiohQZGally5apZMmSGjFihB566CH9+++/eVwxAAD3Fve8LgAAADimaNGikqR8+fJJkry9vVWyZEnr+qCgIDVo0ECPPPKIdu7cqY4dO2rTpk15UisAAPcijnADAHAXc3V1VZcuXSRJmzdv1okTJ/K4IgAA7h0EbgAA7nJly5a1/hwZGWlznXeHDh0UFRWlTp06KSAgQG5ubtblKa1atUrNmzeXn5+fPD09FRQUpC5duujw4cPpjnv+/HkNGDBAlStXlpeXlwoWLKiqVavq7bff1saNG9Pss3z5cjVq1EhFixZV/vz5VaFCBb3zzjs6depUmu3XrVunpk2bKjAwUPny5VNgYKBeeOEFLVy4UFevXrVpe/LkSfXs2VOVK1dWgQIF5Ovrq7p162rEiBE6evRoqm0bhqFZs2bp8ccfl6+vrwoUKKAqVapo4MCBunDhQpr1fP/99woLC1PJkiWVL18+BQcHq3379vrpp59048aNdF8rAMDdicANAMBd7vTp09afS5YsqaioKI0bN06SdPbsWTVv3lxhYWHasmWL1q5dqxIlStj0HzhwoJo2bSqLxaJly5bp0KFDGjdunNatW6dq1appzZo1qcb8999/Vb16dU2ePFm9evXS/v37tWXLFrVt21bffvut6tWrpz///NOmT58+ffTcc8/J1dVVS5cu1Z49ezRgwADNnj1b1atX1969e23af/3112rUqJGKFy+upUuX6t9//9V3332n2NhYvfTSS1q0aJG17alTp1SjRg2tXLlSo0aN0v79+7Vx40Y99dRTGjhwoDp27GizbYvFohdffFEdOnRQcHCwVq9erR07dqhjx44aM2aMQkNDU30J8MEHH6ht27aqVauWVq9erX/++UcTJkzQnj171KJFC23evNn+XxoA4O5gAAAApxYWFmZIMgYNGpTm+saNGxuSjCpVqliXzZgxw5BkSDJWrFhh0/6jjz4yevbsaRiGYSxcuNCQZFStWtVITEy0aXfgwAHD3d3dKFy4sHHq1Cnr8ps3bxpVq1Y1JBmLFi1KVc9nn31mSDL++OMP67L58+cbkowHHnjAuHnzpk37ZcuWGZKMhx56yLBYLNblQUFBho+Pj5GUlGTT/tKlS0aRIkWMGTNmWJcNGjTIkGR8//33qerp0qWLERYWZrNs+PDhhiTj6aefTtV+/PjxhiTjmWeesS5LSEgw8ufPbzzwwAOp2p84ccJwcXExwsPDU60DANzdOMINAMBdyDAMRUZG6o033tCaNWtUoEABffPNN6naBQcH65lnnrFZ9umnn2r8+PGSpKFDh0qSunXrJg8PD5t2999/v55++mldvHhRX375pXX5smXLtHfvXpUqVUpt2rRJNWaHDh1UuHBhubm5WZcNGzZMktSzZ0+b5ZLUokULBQQE6K+//tKGDRusy2NjY3X9+nWdOXPGpr23t7emTp2qOnXq2LSVpOPHj6eqp1evXurVq5f134mJiRo1apQkqXfv3qnad+3aVa6urvr5558VGRkpSbp06ZKuXbumc+fOpTqVPTAwUN98843uu+++VNsCANzdCNwAANwlPvvsM3l7e8vb21v58+dXcHCw5s2bpzZt2mjXrl3W24elVLly5XS3FxUVZT2Nu3bt2mm2SV6+evVq67LkU8xr1aolFxeXVH1KlSqlCxcuqGrVqtZx9u3bZ+1zOxcXFwUHB0uSzWnZDRo0UGJiomrXrq0JEybYBO8XXnjB5rk1aNBAktS/f39169ZNu3btsq578MEH9fzzz1v/vWvXLp0/fz7dery8vFSqVCkZhqEtW7ZIkvz8/FS1alVFR0erVq1amjFjhuLi4qx9OnXqpNKlS6faFgDg7kbgBgDgLvHWW29pz5492rNnjw4cOKCTJ08qLi5O33//fbrB2s/PL93tpTwafPt13cn8/f0lSceOHbMuS/45o22nN84TTzxh/dIg5eP333+XJJvrpr/99ls988wzOnHihHr27KlSpUrpscce0+TJk3Xp0iWbMVq1aqVRo0Ypf/78mjJlimrVqqWyZcvq3Xff1cGDB9Otp2zZsmnWExUVlaqeH3/8UY899pgOHjyoTp06yc/PTw0bNtTs2bN1/fp1u14LAMDdhftwAwBwlyhatKhCQkKy1CetI9B5afXq1Tb3Er9doUKFrD/7+flpxYoV+vvvvzVnzhx9//332rp1q7Zu3arPP/9cP//8s/UouiT17dtXb775phYtWqRFixbp119/1fjx4zVx4kSNGDFCffr0sRnLzc1Ne/bsybDeYsWKWX+uUKGCNm/erJ07d2ru3Ln64YcftH79eq1fv14jR47UypUrFRgYmMVXBADgzDjCDQAA0pTydmIxMTFptkleHhQUZF2W/HPyddNZGcfHx0chISHpPtI60l65cmUNHTpU//zzj7Zu3aratWvrxIkTeuutt1K19fHxUefOnbV69WqdOnVKffv2VVJSkvr166d//vnHpv6kpCT5+fllWE+RIkVSjVGrVi2NHTtWx48f1+rVq1WxYkXt27dP/fv3t+v1AADcPQjcAAAgTaVKlbIeId62bVuabbZv3y5JatKkiXVZ48aNJUk7d+6UYRip+hw/flwNGzbU8uXLU42TvL3bbd68WdWqVbOZNK1Dhw46efKkTbs6depo8eLFkqQ//vjDuvybb77RggULbNqWKFFCo0aNUoMGDWSxWKy3KatZs6b1yHV69Xz//feqVq2a9T7kZ8+eVYcOHXTt2jVrGxcXFzVu3FjffvttqnoAAPcGAjcAAEjXRx99JEmaPHmyEhMTbdYdPHhQq1atkq+vr3r27Gld/txzz+nBBx9UVFSUfvjhh1TbnDRpkn777TebCcmSx5kwYUKqcSwWi4YMGaKYmBibid9mzZqllStXptr+jRs3JNkeOd+0aZMmTpyY5nO8vb2Hh4f69esnSRozZkyqLw0SEhL06aefyt3d3XoK/+XLlzVr1ixt3LjRrnoAAPcGruEGAMBJnT9/XomJidaAevnyZUVHR0tSutdBJyUlKTY21jqDdkJCQoZ92rZtq927d2vEiBFq0aKFBg0apMDAQO3atUu9e/eWp6enFi5cqICAAGsfNzc3LV68WA0bNlSXLl10/vx5NW7cWPHx8VqwYIFGjRqlyZMn2/RJOc7TTz+tjz/+WOXLl1dkZKRGjRqlTZs2ac2aNaluTda3b18lJCToqaeeko+Pjw4ePKiPP/5Ybm5uGj58uE3bzZs3q127durWrZsCAwN17tw5zZo1Sxs2bNDzzz9vcxuxvn37as+ePZo/f75efPFF9enTRyVLltTff/+tTz75RFFRUdq0aVOq16tDhw4aOnSo6tSpo3z58mnPnj0aMGCAvLy8NHjw4HR/lwCAu5OLkda5XgAA4I735JNP6rfffktzXXr/vUdGRlpvsWVvH0latWqVvvzyS23btk2XLl1SyZIl1ahRIw0YMCDd+0ufO3dOI0eO1NKlS3Xs2DEVLlxYVatW1fvvv2897fx2K1eu1Jdffqnt27fr6tWrCgwM1BNPPKH+/furUqVKNm137dqlhQsXas2aNTp8+LBu3rypwMBAPfLII+rbt6+qV69ubXvmzBn98MMP+vHHH/Xnn3/qwoULKlasmO677z517dpVr7zyitzdbY9DGIahefPmadq0adqzZ49u3LihsmXLqnHjxurXr5/Nbb4Mw9DGjRu1cOFChYeHKzIyUi4uLgoMDNSTTz6p999/P8sT2gEAnB+BGwAAAAAAE3ANNwAAAAAAJiBwAwAAAABgAgI3AAAAAAAmIHADAAAAAGACAjcAAAAAACYgcAMAAAAAYAICNwAAAAAAJiBwAwAAAABgAgI3AAAAAAAmIHADAAAAAGACAjcAAAAAACYgcAMAAAAAYAICNwAAAAAAJvh/vjJBI2xDQIQAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for i in range(5):\n", - " plot_results.cost(results=results_cost, x=CostX.PROCESS_WISE, \n", - " y=CostY.TOTAL, network_scale_period=i, location='HO', fig_size=(11, 6))\n", - "\n", - "\n", - "# plot_results.cost(results=results_cost, x=CostX.LOCATION_WISE,\n", - "# y=CostY.TOTAL, network_scale_period=2, location='HO', fig_size=(11, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 0.29806719202705945,\n", - " ('HO', 'LiI', 1): 0.011086229285659102,\n", - " ('HO', 'LiI', 2): 0.019521384392449524,\n", - " ('HO', 'LiI', 3): 0.033791259284010125,\n", - " ('HO', 'LiI', 4): 0.018896333215414295,\n", - " ('HO', 'LiI_discharge', 0): 100.0,\n", - " ('HO', 'LiI_discharge', 1): 100.0,\n", - " ('HO', 'LiI_discharge', 2): 100.0,\n", - " ('HO', 'LiI_discharge', 3): 100.0,\n", - " ('HO', 'LiI_discharge', 4): 100.0,\n", - " ('HO', 'PEM', 0): 3.867506184961174,\n", - " ('HO', 'PEM', 1): 4.006709810337085,\n", - " ('HO', 'PEM', 2): 4.118692416267526,\n", - " ('HO', 'PEM', 3): 3.9828282067099665,\n", - " ('HO', 'PEM', 4): 4.036933267979362,\n", - " ('HO', 'PV', 0): 18.534682413610795,\n", - " ('HO', 'PV', 1): 17.398554756346048,\n", - " ('HO', 'PV', 2): 23.873554772297748,\n", - " ('HO', 'PV', 3): 24.011877845084737,\n", - " ('HO', 'PV', 4): 24.132163247932247,\n", - " ('HO', 'WF', 0): 0.0,\n", - " ('HO', 'WF', 1): 0.0,\n", - " ('HO', 'WF', 2): 0.0,\n", - " ('HO', 'WF', 3): 0.0,\n", - " ('HO', 'WF', 4): 0.0}" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 1.0,\n", - " ('HO', 'LiI', 1): 1.0,\n", - " ('HO', 'LiI', 2): 1.0,\n", - " ('HO', 'LiI', 3): 1.0,\n", - " ('HO', 'LiI', 4): 1.0,\n", - " ('HO', 'LiI_discharge', 0): 1.0,\n", - " ('HO', 'LiI_discharge', 1): 1.0,\n", - " ('HO', 'LiI_discharge', 2): 1.0,\n", - " ('HO', 'LiI_discharge', 3): 1.0,\n", - " ('HO', 'LiI_discharge', 4): 1.0,\n", - " ('HO', 'PEM', 0): 1.0,\n", - " ('HO', 'PEM', 1): 1.0,\n", - " ('HO', 'PEM', 2): 1.0,\n", - " ('HO', 'PEM', 3): 1.0,\n", - " ('HO', 'PEM', 4): 1.0,\n", - " ('HO', 'PV', 0): 1.0,\n", - " ('HO', 'PV', 1): 1.0,\n", - " ('HO', 'PV', 2): 1.0,\n", - " ('HO', 'PV', 3): 1.0,\n", - " ('HO', 'PV', 4): 1.0,\n", - " ('HO', 'WF', 0): 1.0,\n", - " ('HO', 'WF', 1): 1.0,\n", - " ('HO', 'WF', 2): 1.0,\n", - " ('HO', 'WF', 3): 1.0,\n", - " ('HO', 'WF', 4): 1.0}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['X_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "total_cost = {i:results_cost.output['Capex_process'][i] + results_cost.output['Vopex_process'][i] + results_cost.output['Fopex_process'][i] for i in results_cost.output['Capex_process'].keys()}" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 1087962.966766163,\n", - " ('HO', 'LiI', 1): 1020017.5549141829,\n", - " ('HO', 'LiI', 2): 1022014.6563326581,\n", - " ('HO', 'LiI', 3): 1025393.1819230715,\n", - " ('HO', 'LiI', 4): 1021866.669653519,\n", - " ('HO', 'LiI_discharge', 0): 1017392.7870288994,\n", - " ('HO', 'LiI_discharge', 1): 1017392.7870288994,\n", - " ('HO', 'LiI_discharge', 2): 1017392.7870288994,\n", - " ('HO', 'LiI_discharge', 3): 1017392.7870288994,\n", - " ('HO', 'LiI_discharge', 4): 1017392.7870288994,\n", - " ('HO', 'PEM', 0): 899195.188003473,\n", - " ('HO', 'PEM', 1): 931560.0309033723,\n", - " ('HO', 'PEM', 2): 957595.9867821997,\n", - " ('HO', 'PEM', 3): 926007.5580600672,\n", - " ('HO', 'PEM', 4): 938586.9848052016,\n", - " ('HO', 'PV', 0): 4126048.2818634505,\n", - " ('HO', 'PV', 1): 3873132.290986133,\n", - " ('HO', 'PV', 2): 5314546.937037177,\n", - " ('HO', 'PV', 3): 5345339.354413357,\n", - " ('HO', 'PV', 4): 5372116.364597668,\n", - " ('HO', 'WF', 0): 0.0,\n", - " ('HO', 'WF', 1): 0.0,\n", - " ('HO', 'WF', 2): 0.0,\n", - " ('HO', 'WF', 3): 0.0,\n", - " ('HO', 'WF', 4): 0.0}" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total_cost" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'LiI', 0): 58220.659837227046,\n", - " ('HO', 'LiI', 1): 2165.443233548721,\n", - " ('HO', 'LiI', 2): 3813.0593056393054,\n", - " ('HO', 'LiI', 3): 6600.35543954563,\n", - " ('HO', 'LiI', 4): 3690.9697468671925,\n", - " ('HO', 'LiI_discharge', 0): 0.0,\n", - " ('HO', 'LiI_discharge', 1): 0.0,\n", - " ('HO', 'LiI_discharge', 2): 0.0,\n", - " ('HO', 'LiI_discharge', 3): 0.0,\n", - " ('HO', 'LiI_discharge', 4): 0.0,\n", - " ('HO', 'PEM', 0): 899195.188003473,\n", - " ('HO', 'PEM', 1): 931560.0309033723,\n", - " ('HO', 'PEM', 2): 957595.9867821997,\n", - " ('HO', 'PEM', 3): 926007.5580600672,\n", - " ('HO', 'PEM', 4): 938586.9848052016,\n", - " ('HO', 'PV', 0): 3706738.1616203333,\n", - " ('HO', 'PV', 1): 3479524.7867333163,\n", - " ('HO', 'PV', 2): 4774455.507423486,\n", - " ('HO', 'PV', 3): 4802118.641924005,\n", - " ('HO', 'PV', 4): 4826174.435439697,\n", - " ('HO', 'WF', 0): 0.0,\n", - " ('HO', 'WF', 1): 0.0,\n", - " ('HO', 'WF', 2): 0.0,\n", - " ('HO', 'WF', 3): 0.0,\n", - " ('HO', 'WF', 4): 0.0}" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Capex_process']" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/bilevel.ipynb b/examples/publication/bilevel.ipynb deleted file mode 100644 index a0e4d2d9..00000000 --- a/examples/publication/bilevel.ipynb +++ /dev/null @@ -1,1535 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# mpLP reformulation of an energy systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems mixed integer linear program (MILP) is reformulated as a mulitparametric linear program (mpLP)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "\n", - "$X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$X^S_{r,t}$ - network binary for inventory of resource r $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Problem" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " p \\in \\{LI_c, LI_d, WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " r \\in \\{charge, power, wind, solar\\} \n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\left[\\begin{matrix}1302\\\\0\\\\990\\\\567\\end{matrix}\\right]^T \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}Inv_{charge}\\\\C_{wind}\\\\C_{solar}\\\\P_{LI_c}\\\\P_{LI_d}\\end{matrix}\\right] \\leq \\left[\\begin{matrix} 100\\\\100\\\\100\\\\100\\\\100\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}-S_{power}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] \\leq \\left[\\begin{matrix}-300 & 0 & 0\\\\0 & 100 & 0\\\\0 & 0 & 100\\end{matrix}\\right] \\left[\\begin{matrix}\\beta_{power}\\\\ \\alpha_{WF}\\\\\\alpha_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_4\\left[\\begin{matrix} - Inv_{charge} \\\\ -S_{power} \\\\ C_{wind} \\\\ C_{solar} \\end{matrix}\\right] + \\left[\\begin{matrix}0.89 & -1 & 0 & 0\\\\-1 & 1 & 0.85 & 0.75\\\\0 & 0 & -1 & 0\\\\0 & 0 & 0 & -1\\end{matrix}\\right] \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] = 0\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in \\mathcal{A}_p \\hspace{1cm} \\forall p \\in \\{WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in \\mathcal{B}_r \\hspace{1cm} \\forall r \\in \\{Power\\} \n", - "\\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.components.result import Result\n", - "# import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "import sympy\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.utils.math_utils import min_max, normalize\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_23380\\1266778025.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_23380\\1266778025.py:16: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "\n", - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')\n", - "\n", - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)\n", - "\n", - "# Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region\n", - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "solar = normalize(solar_houston)\n", - "wind = normalize(wind_houston)\n", - "demand = normalize(ercot)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Define temporal scale}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1])\n", - "horizon = 1\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare resources}$" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (min(demand['COAST']), 1))\n", - "\n", - "# H2O = Resource(name='H2O', cons_max=100, basis='tons', label='Water', varying= [VaryingResource.UNCERTAIN_AVAILABILITY], varying_bounds= (0.3, 0.95))\n", - "H2O = Resource(name='H2O', cons_max=500, basis='tons', label='Water', price = 0.01)\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen',demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=0.345, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.UNCERTAIN_PRICE])\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, capex=1302, fopex=0, vopex=12, prod_max=50,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, H2O: -3.1839}, capex=1550, fopex=0,\n", - " vopex=11, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, capex=990, fopex=0, vopex=13,\n", - " prod_max=100, label='Wind mill array', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds = (0, 1))\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, capex=567, fopex=0, vopex=9,\n", - " prod_max=100, label='Solar PV', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds= (0, 1))\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108}, capex=2158928, fopex=53320, vopex=4090, prod_max=100, label='NGCC + 95% CC', varying_bounds= (0.6, 1))\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare location(s)}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "region = Location(name='region', processes={\n", - " LiI, WF, PV, PEM}, scales=scales, label='some region')\n", - "# WF" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "example = Scenario(name='example', demand={region: {Power:100, H2: 20}}, network=region, scales=scales, label='example scenario')\n", - "# example = Scenario(name='example', demand={region: {Power: 200}}, network=region, scales=scales, label='example scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 3\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 3\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 3\n", - "Uncertain process production (P) x 2\n", - " For a total of 11 (8 fixed, and 3 uncertain)\n" - ] - } - ], - "source": [ - "matrix = formulate(scenario=example, model_class=ModelClass.MPLP)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter Username\n", - "Academic license - for non-commercial use only - expires 2024-02-14\n", - "[]\n" - ] - } - ], - "source": [ - "solution = solve(matrix = matrix, interface = 'native', name = 'results_mplp', solver = 'ppopt') \n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates.append((i, j, k, l[0][0]))\n", - " # else:\n", - " # coordinates.append((i, j, k, None))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1210.4427808281766" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "min([i[3] for i in coordinates])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Unique solutions" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "data = coordinates\n", - "fig = plt.figure(figsize= (8,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "# norm = plt.Normalize(min(color_vals), max(color_vals))\n", - "# colors = cm.viridis(norm(color_vals))\n", - "colors = cm.viridis(color_vals)\n", - "\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=color_vals, cmap='plasma', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand')\n", - "ax.set_ylabel('Solar PV capacity')\n", - "ax.set_zlabel('Wind Farm capacity')\n", - "ax.view_init(elev=30, azim=110)\n", - "ax.zaxis.labelpad=-1\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint demand\n", - "objective cost\n", - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 90 rows, 84 columns and 169 nonzeros\n", - "Model fingerprint: 0xd4f97508\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 2e+03]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [2e+01, 5e+02]\n", - "Presolve removed 88 rows and 80 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 2 rows, 4 columns, 6 nonzeros\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 8.8268693e+04 9.633454e+00 0.000000e+00 0s\n", - "Extra simplex iterations after uncrush: 1\n", - " 2 8.8947234e+04 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 2 iterations and 0.03 seconds (0.00 work units)\n", - "Optimal objective 8.894723432e+04\n" - ] - } - ], - "source": [ - "lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.DEMAND}, objective = Objective.COST)#, objective=Objective.MAX_DISCHARGE, objective_resource = Power)\n", - "\n", - "results_lp = solve(name = 'results_lp', instance = lp, solver = 'gurobi')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{0: 1300.537178399774}" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_lp.output['Vopex_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "# coordinates_meet = []\n", - "# coordinates_dontmeet = []\n", - "# for i,j,k in zip(demand['COAST'], solar['PV_Power'], wind['feedin_power_plant']):\n", - "# l = solution.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - "# if l is not None:\n", - "# coordinates_meet.append((i, j, k, l[0][0]))\n", - "# else:\n", - "# coordinates_meet.append((i, j, k, 0))\n", - "# objective = [i[3] for i in coordinates_meet]\n", - "# objective_null = [i[3] for i in coordinates_dontmeet]\n", - "# plt.plot(objective)\n", - "# # plt.plot(objective_null)\n", - "# plt.show()\n", - "# # plt.plot(demand)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "solution.program" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "solution.critical_regions[0].A[numpy.abs(solution.critical_regions[0].A) < 10**(-3)] = 0\n", - "solution.critical_regions[0].b[numpy.abs(solution.critical_regions[0].b) < 10**(-3)] = 0\n", - "solution.critical_regions[0].C[numpy.abs(solution.critical_regions[0].C) < 10**(-3)] = 0\n", - "solution.critical_regions[0].d[numpy.abs(solution.critical_regions[0].d) < 10**(-3)] = 0\n", - "solution.critical_regions[0].E[numpy.abs(solution.critical_regions[0].E) < 10**(-3)] = 0\n", - "solution.critical_regions[0].f[numpy.abs(solution.critical_regions[0].f) < 10**(-3)] = 0\n", - "\n", - "\n", - "solution.critical_regions[1].A[numpy.abs(solution.critical_regions[1].A) < 10**(-3)] = 0\n", - "solution.critical_regions[1].b[numpy.abs(solution.critical_regions[1].b) < 10**(-3)] = 0\n", - "solution.critical_regions[1].C[numpy.abs(solution.critical_regions[1].C) < 10**(-3)] = 0\n", - "solution.critical_regions[1].d[numpy.abs(solution.critical_regions[1].d) < 10**(-3)] = 0\n", - "solution.critical_regions[1].E[numpy.abs(solution.critical_regions[1].E) < 10**(-3)] = 0\n", - "solution.critical_regions[1].f[numpy.abs(solution.critical_regions[1].f) < 10**(-3)] = 0\n", - "\n", - "# solution.critical_regions[2].A[numpy.abs(solution.critical_regions[2].A) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].b[numpy.abs(solution.critical_regions[2].b) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].C[numpy.abs(solution.critical_regions[2].C) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].d[numpy.abs(solution.critical_regions[2].d) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].E[numpy.abs(solution.critical_regions[2].E) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].f[numpy.abs(solution.critical_regions[2].f) < 10**(-3)] = 0" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "# solution.critical_regions[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "cr = 1\n", - "# Create a NumPy array matrix\n", - "A = solution.critical_regions[cr].A\n", - "b = solution.critical_regions[cr].b\n", - "C = solution.critical_regions[cr].C\n", - "d = solution.critical_regions[cr].d\n", - "E = solution.critical_regions[cr].E\n", - "f = solution.critical_regions[cr].f\n", - "\n", - "\n", - "# Create symbolic variables\n", - "t1, t2, t3 = sympy.symbols('θ1 θ2 θ3')\n", - "\n", - "# Convert the NumPy array to a SymPy Matrix\n", - "# sympy_matrix = \n", - "\n", - "# Multiply the symbolic variables with the SymPy Matrix\n", - "x = sympy.Matrix(A) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(b)\n", - "l = sympy.Matrix(C) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(d)\n", - "Cr = sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]) - sympy.Matrix(f)\n", - "\n", - "Cr_eq = sympy.Eq(sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]), sympy.Matrix(f))\n", - "\n", - "# print(x)\n", - "# print(l)\n", - "# # print(Cr)\n", - "# print(Cr_eq)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1.0 θ_{1}\\\\0.799999999999998 θ_{1} - 0.600000000000002 θ_{2}\\\\- 1.0 θ_{3}\\\\1.0 θ_{2}\\\\1.0 θ_{3}\\\\- 1.0 θ_{1}\\\\- 1.0 θ_{3}\\end{matrix}\\right] = \\left[\\begin{matrix}0.629549052869718\\\\-0.0963607577042292\\\\0\\\\1.0\\\\1.0\\\\-0.349198053155639\\\\0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Eq(Matrix([\n", - "[ 1.0*θ1],\n", - "[0.799999999999998*θ1 - 0.600000000000002*θ2],\n", - "[ -1.0*θ3],\n", - "[ 1.0*θ2],\n", - "[ 1.0*θ3],\n", - "[ -1.0*θ1],\n", - "[ -1.0*θ3]]), Matrix([\n", - "[ 0.629549052869718],\n", - "[-0.0963607577042292],\n", - "[ 0],\n", - "[ 1.0],\n", - "[ 1.0],\n", - "[ -0.349198053155639],\n", - "[ 0]]))" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Cr_eq" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1199.99999999999 θ_{1} + 768.337517670283\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[1199.99999999999*θ1 + 768.337517670283]])" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1199.99999999999 θ_{1} + 768.337517670283\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[1199.99999999999*θ1 + 768.337517670283]])" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 3\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 3\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 5\n", - "Uncertain process production (P) x 0\n", - " For a total of 11 (10 fixed, and 1 uncertain)\n" - ] - } - ], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (min(demand['COAST']), 1))\n", - "\n", - "# H2O = Resource(name='H2O', cons_max=100, basis='tons', label='Water', varying= [VaryingResource.UNCERTAIN_AVAILABILITY], varying_bounds= (0.3, 0.95))\n", - "H2O = Resource(name='H2O', cons_max=500, basis='tons', label='Water', price = 0.01)\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen',demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=0.345, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.UNCERTAIN_PRICE])\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302, fopex=0, vopex=12, prod_max=50,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, H2O: -3.1839}, capex=1550, fopex=0,\n", - " vopex=11, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, capex=990, fopex=0, vopex=13,\n", - " prod_max=100, label='Wind mill array', basis='MW')#, varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds = (0, 1))\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, capex=567, fopex=0, vopex=9,\n", - " prod_max=100, label='Solar PV', basis='MW')#, varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds= (0, 1))\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108}, capex=2158928, fopex=53320, vopex=4090, prod_max=100, label='NGCC + 95% CC', varying_bounds= (0.6, 1))\n", - "\n", - "region = Location(name='region', processes={\n", - " LiI, WF, PV, PEM}, scales=scales, label='some region')\n", - "\n", - "example = Scenario(name='example', demand={region: {Power:100, H2: 20}}, network=region, scales=scales, label='example scenario')\n", - "# example = Scenario(name='example', demand={region: {Power: 200}}, network=region, scales=scales, label='example scenario')\n", - "matrix = formulate(scenario=example, model_class=ModelClass.MPLP)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "prob_coeff_matrix = matrix['A']\n", - "prob_rhs_matrix = matrix['b']" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(28, 11)" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prob_coeff_matrix.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "theta_coeff_matrix = solution.critical_regions[0].E\n", - "# theta_coeff_matrix = theta_coeff_matrix[~numpy.all(theta_coeff_matrix == 0, axis=1)]\n", - "theta_rhs_matrix = solution.critical_regions[0].f" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "import gurobipy as gp\n", - "\n", - "# Create a Gurobi model\n", - "model = gp.Model()\n", - "\n", - "# Define your decision variables\n", - "num_vars_x = len(theta_coeff_matrix[0]) # Number of variables\n", - "variables_x = model.addVars(num_vars_x, name=\"x\")\n", - "\n", - "num_vars_y = len(prob_coeff_matrix[0])\n", - "variables_y = model.addVars(num_vars_y, name= \"y\")\n", - "\n", - "# Define constraints based on the coefficient matrix and RHS constants\n", - "num_constraints_x = theta_coeff_matrix.shape[0] # Number of constraints\n", - "\n", - "for i in range(num_constraints_x):\n", - " lhs_expr = gp.LinExpr()\n", - " \n", - " # Iterate through the coefficients in the row\n", - " for j in range(num_vars_x):\n", - " lhs_expr.add(variables_x[j], theta_coeff_matrix[i][j])\n", - " \n", - " # Add the constraint to the model\n", - " model.addConstr(lhs_expr, gp.GRB.LESS_EQUAL, theta_rhs_matrix[i], name=f\"constraint_x{i}\")\n", - "\n", - "num_constraints_y = prob_coeff_matrix.shape[0] # Number of constraints\n", - "\n", - "EQUAL = [gp.GRB.EQUAL]*matrix['no_eq_cons']\n", - "LESS_EQUAL = [gp.GRB.LESS_EQUAL]*(prob_coeff_matrix.shape[0] - matrix['no_eq_cons'] - prob_coeff_matrix.shape[1] )\n", - "EQUAL_NN = [gp.GRB.LESS_EQUAL]*prob_coeff_matrix.shape[1]\n", - "SIGNS = EQUAL + LESS_EQUAL + EQUAL_NN\n", - "\n", - "for i in range(num_constraints_y):\n", - " lhs_expr = gp.LinExpr()\n", - " \n", - " # Iterate through the coefficients in the row\n", - " for j in range(num_vars_y):\n", - " lhs_expr.add(variables_y[j], prob_coeff_matrix[i][j])\n", - " \n", - " # Add the constraint to the model\n", - " model.addConstr(lhs_expr, SIGNS[i], prob_rhs_matrix[i], name=f\"constraint_y{i}\")\n", - "\n", - "\n", - "objective_coeff_matrix = matrix['c']\n", - "\n", - "objective_expr = gp.LinExpr()\n", - "\n", - "for i in range(num_vars_y):\n", - " objective_expr.add(variables_y[i], objective_coeff_matrix[i])\n", - "\n", - "# Set the objective function\n", - "model.setObjective(objective_expr, sense=gp.GRB.MINIMIZE)\n", - "\n", - "# Optionally, set an objective function\n", - "# model.setObjective(model.x, sense=gp.GRB.MAXIMIZE) # Set your objective function here\n", - "\n", - "# Solve the model\n", - "# model.optimize()" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "model.write(filename='multiparametric_lp.lp')" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 40 rows, 19 columns and 57 nonzeros\n", - "Model fingerprint: 0x3d1e9157\n", - "Variable types: 14 continuous, 5 integer (5 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-01, 1e+02]\n", - " Objective range [1e-02, 1e+01]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e-01, 5e+02]\n", - "Presolve removed 38 rows and 15 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 2 rows, 4 columns, 6 nonzeros\n", - "Variable types: 4 continuous, 0 integer (0 binary)\n", - "\n", - "Root relaxation: objective 7.683375e+02, 1 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 768.3375177 768.33752 0.00% - 0s\n", - "\n", - "Explored 1 nodes (1 simplex iterations) in 0.05 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 768.338 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 7.683375176703e+02, best bound 7.683375176703e+02, gap 0.0000%\n", - "Objective Value: 768.3375176703421\n", - "x[0] = 0.3491980531556387\n", - "x[1] = 1.0\n", - "x[2] = 0.0\n", - "y[0] = 50.0\n", - "y[1] = 20.0\n", - "y[2] = 0.0\n", - "y[3] = 180.03392705682782\n", - "y[4] = 16.060126284044856\n", - "y[5] = 0.0\n", - "y[6] = 0.0\n", - "y[7] = 50.0\n", - "y[8] = 56.54509471303364\n", - "y[9] = 16.060126284044856\n", - "y[10] = 0.0\n" - ] - } - ], - "source": [ - "\n", - "import gurobipy as gp\n", - "\n", - "# Create a new Gurobi model\n", - "model = gp.Model()\n", - "\n", - "# Define variables\n", - "x = {}\n", - "y = {}\n", - "z = {}\n", - "for i in range(3):\n", - " x[i] = model.addVar(lb=-gp.GRB.INFINITY, name=f'x[{i}]')\n", - "for i in range(11):\n", - " y[i] = model.addVar(lb=-gp.GRB.INFINITY, name=f'y[{i}]')\n", - "for i in range(5):\n", - " z[i] = model.addVar(vtype=gp.GRB.BINARY, name=f'z[{i}]')\n", - "\n", - "# Update the model to include new variables\n", - "model.update()\n", - "\n", - "model.addConstr(y[6]<= 50*z[0])\n", - "model.addConstr(y[7]<= 50*z[1])\n", - "model.addConstr(y[8]<= 100*z[2])\n", - "model.addConstr(y[9]<= 100*z[3])\n", - "model.addConstr(y[10]<= 100*z[4])\n", - "\n", - "# Set the objective function\n", - "objective_coefficients = [0, 0, 0, 0.01, 0, 0, 12, 0, 11, 9, 13]\n", - "model.setObjective(gp.quicksum(objective_coefficients[i] * y[i] for i in range(11)), sense=gp.GRB.MINIMIZE)\n", - "\n", - "\n", - "# Add constraints\n", - "model.addConstr(x[0] <= 0.6295490528697176, name='constraint_x0')\n", - "model.addConstr(0.8 * x[0] - 0.6 * x[1] <= -0.0963607577042292, name='constraint_x1')\n", - "model.addConstr(-x[2] <= 0, name='constraint_x2')\n", - "model.addConstr(x[1] <= 1, name='constraint_x3')\n", - "model.addConstr(x[2] <= 1, name='constraint_x4')\n", - "model.addConstr(-x[0] <= -0.3491980531556387, name='constraint_x5')\n", - "model.addConstr(-x[2] <= 0, name='constraint_x6')\n", - "\n", - "model.addConstr(y[0] + y[6] - y[7] == 0, name='constraint_y0')\n", - "model.addConstr(-y[1] + 0.3537 * y[8] == 0, name='constraint_y1')\n", - "model.addConstr(-y[2] - y[6] + 0.89 * y[7] - y[8] + 0.75 * y[9] + 0.85 * y[10] == 0, name='constraint_y2')\n", - "model.addConstr(y[3] - 3.1839 * y[8] == 0, name='constraint_y3')\n", - "model.addConstr(y[4] - y[9] == 0, name='constraint_y4')\n", - "model.addConstr(y[5] - y[10] == 0, name='constraint_y5')\n", - "\n", - "for i in range(11):\n", - " if i == 1:\n", - " model.addConstr(-y[i] <= [100, -20, 0, 500, 100, 100, 50, 50, 100, 100, 100][i], name=f'constraint_y{i+6}')\n", - " else:\n", - " model.addConstr(y[i] <= [100, -20, 0, 500, 100, 100, 50, 50, 100, 100, 100][i], name=f'constraint_y{i+6}')\n", - "\n", - "for i in range(11):\n", - " model.addConstr(y[i] >= 0, name=f'constraint_y{i+17}')\n", - "\n", - "# Optimize the model\n", - "model.optimize()\n", - "\n", - "# Print the results\n", - "print(f\"Objective Value: {model.objVal}\")\n", - "for i in range(3):\n", - " print(f\"x[{i}] = {x[i].x}\")\n", - "for i in range(11):\n", - " print(f\"y[{i}] = {y[i].x}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "model.write('bilevel_1.lp')" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "prod_max = [i.prod_max for i in list(example.process_set)]" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[100, 100, 50, 50, 100]" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prod_max" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[PEM, WF, LiI, LiI_discharge, PV]" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(example.process_set)" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35 rows, 19 columns and 56 nonzeros\n", - "Model fingerprint: 0x980432fb\n", - "Variable types: 14 continuous, 5 integer (5 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-01, 1e+02]\n", - " Objective range [1e-02, 1e+01]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [8e-02, 5e+02]\n", - "Presolve removed 33 rows and 15 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 2 rows, 4 columns, 6 nonzeros\n", - "Variable types: 4 continuous, 0 integer (0 binary)\n", - "\n", - "Root relaxation: objective 7.683375e+02, 1 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 768.3375177 768.33752 0.00% - 0s\n", - "\n", - "Explored 1 nodes (1 simplex iterations) in 0.02 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 768.338 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 7.683375176703e+02, best bound 7.683375176703e+02, gap 0.0000%\n", - "Objective Value: 768.3375176703421\n", - "x[0] = 0.3491980531556387\n", - "x[1] = 0.4655974042075183\n", - "x[2] = 1.0\n", - "y[0] = 50.0\n", - "y[1] = 20.0\n", - "y[2] = 0.0\n", - "y[3] = 180.03392705682782\n", - "y[4] = 16.060126284044856\n", - "y[5] = 0.0\n", - "y[6] = 0.0\n", - "y[7] = 50.0\n", - "y[8] = 56.54509471303364\n", - "y[9] = 16.060126284044856\n", - "y[10] = 0.0\n" - ] - } - ], - "source": [ - "# Create a new Gurobi model\n", - "model = gp.Model()\n", - "\n", - "# Define variables\n", - "x = {}\n", - "y = {}\n", - "z = {}\n", - "for i in range(3):\n", - " x[i] = model.addVar(lb=-gp.GRB.INFINITY, ub=1.0, name=f'x[{i}]')\n", - "for i in range(11):\n", - " y[i] = model.addVar(lb=0, name=f'y[{i}]')\n", - "for i in range(5):\n", - " z[i] = model.addVar(vtype=gp.GRB.BINARY, name=f'z[{i}]')\n", - "\n", - "# Update the model to include new variables\n", - "model.update()\n", - "\n", - "# Set the objective function\n", - "model.setObjective(\n", - " 0.01 * y[3] + 12 * y[6] + 11 * y[8] + 9 * y[9] + 13 * y[10],\n", - " sense=gp.GRB.MINIMIZE\n", - ")\n", - "\n", - "\n", - "model.addConstr(y[6]<= 50*z[0])\n", - "model.addConstr(y[7]<= 50*z[1])\n", - "model.addConstr(y[8]<= 100*z[2])\n", - "model.addConstr(y[9]<= 100*z[3])\n", - "model.addConstr(y[10]<= 100*z[4])\n", - "\n", - " \n", - "# Add constraints\n", - "model.addConstr(x[1] <= 1, name='constraint_x0')\n", - "model.addConstr(0.8 * x[0] - 0.6 * x[1] <= 0.5836392422958072, name='constraint_x1')\n", - "model.addConstr(0.661541201655627 * x[0] - 0.4961559012417142 * x[1] - 0.5623100214072763 * x[2] <= -0.0796832643050932, name='constraint_x2')\n", - "model.addConstr(-x[1] <= 0, name='constraint_x3')\n", - "model.addConstr(-0.8 * x[0] + 0.6 * x[1] <= 0.0963607577041876, name='constraint_x4')\n", - "model.addConstr(-x[1] <= 0, name='constraint_x5')\n", - "model.addConstr(-0.8 * x[0] + 0.6 * x[1] <= 0.0963607577041874, name='constraint_x6')\n", - "model.addConstr(x[0] <= 1, name='constraint_x7')\n", - "model.addConstr(x[1] <= 1, name='constraint_x8')\n", - "model.addConstr(x[2] <= 1, name='constraint_x9')\n", - "model.addConstr(-x[0] <= -0.3491980531556387, name='constraint_x10')\n", - "model.addConstr(-x[1] <= 0, name='constraint_x11')\n", - "model.addConstr(-x[2] <= 0, name='constraint_x12')\n", - "\n", - "model.addConstr(y[0] + y[6] - y[7] == 0, name='constraint_y0')\n", - "model.addConstr(-y[1] + 0.3537 * y[8] == 0, name='constraint_y1')\n", - "model.addConstr(-y[2] - y[6] + 0.89 * y[7] - y[8] + 0.75 * y[9] + 0.85 * y[10] == 0, name='constraint_y2')\n", - "model.addConstr(y[3] - 3.1839 * y[8] == 0, name='constraint_y3')\n", - "model.addConstr(y[4] - y[9] == 0, name='constraint_y4')\n", - "model.addConstr(y[5] - y[10] == 0, name='constraint_y5')\n", - "\n", - "for i in range(11):\n", - " if i == 1:\n", - " model.addConstr(-y[i] <= [100, -20, 0, 500, 100, 100, 50, 50, 100, 100, 100][i], name=f'constraint_y{i+6}')\n", - " else:\n", - " model.addConstr(y[i] <= [100, -20, 0, 500, 100, 100, 50, 50, 100, 100, 100][i], name=f'constraint_y{i+6}')\n", - "\n", - "# Optimize the model\n", - "model.optimize()\n", - "\n", - "# Print the results\n", - "print(f\"Objective Value: {model.objVal}\")\n", - "for i in range(3):\n", - " print(f\"x[{i}] = {x[i].x}\")\n", - "for i in range(11):\n", - " print(f\"y[{i}] = {y[i].x}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "model.write('bilevel_2.lp')\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/lp_for_parametric.ipynb b/examples/publication/lp_for_parametric.ipynb deleted file mode 100644 index 9bd70a32..00000000 --- a/examples/publication/lp_for_parametric.ipynb +++ /dev/null @@ -1,740 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# LP before solving parametric LP " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems mixed integer linear program (MILP) is reformulated as a mulitparametric linear program (mpLP)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "\n", - "$X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$X^S_{r,t}$ - network binary for inventory of resource r $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Problem" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " p \\in \\{LI_c, LI_d, WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " r \\in \\{charge, power, wind, solar\\} \n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\left[\\begin{matrix}1302\\\\0\\\\990\\\\567\\end{matrix}\\right]^T \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}Inv_{charge}\\\\C_{wind}\\\\C_{solar}\\\\P_{LI_c}\\\\P_{LI_d}\\end{matrix}\\right] \\leq \\left[\\begin{matrix} 100\\\\100\\\\100\\\\100\\\\100\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}-S_{power}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] \\leq \\left[\\begin{matrix}-300 & 0 & 0\\\\0 & 100 & 0\\\\0 & 0 & 100\\end{matrix}\\right] \\left[\\begin{matrix}\\beta_{power}\\\\ \\alpha_{WF}\\\\\\alpha_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_4\\left[\\begin{matrix} - Inv_{charge} \\\\ -S_{power} \\\\ C_{wind} \\\\ C_{solar} \\end{matrix}\\right] + \\left[\\begin{matrix}0.89 & -1 & 0 & 0\\\\-1 & 1 & 0.85 & 0.75\\\\0 & 0 & -1 & 0\\\\0 & 0 & 0 & -1\\end{matrix}\\right] \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] = 0\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in \\mathcal{A}_p \\hspace{1cm} \\forall p \\in \\{WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in \\mathcal{B}_r \\hspace{1cm} \\forall r \\in \\{Power\\} \n", - "\\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.components.result import Result\n", - "# import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "import sympy\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.utils.math_utils import min_max, normalize\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt " - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_24776\\2642984639.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_24776\\2642984639.py:16: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "\n", - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')\n", - "\n", - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)\n", - "\n", - "# Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region\n", - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value\n" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [], - "source": [ - "solar = normalize(solar_houston)\n", - "wind = normalize(wind_houston)\n", - "demand = normalize(ercot)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Define temporal scale}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 8760])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare resources}$" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying = [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "# H2O = Resource(name='H2O', cons_max=100, basis='tons', label='Water', varying= [VaryingResource.UNCERTAIN_AVAILABILITY], varying_bounds= (0.3, 0.95))\n", - "H2O = Resource(name='H2O', cons_max=500, basis='tons', label='Water')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen', demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "# LiI = Process(name='LiI', storage=Power, capex=1302, fopex=0, vopex=0, prod_max=50,\n", - "# storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "# WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, capex=990, fopex=0, vopex=0,\n", - "# prod_max=100, label='Wind mill array', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY])\n", - "\n", - "# PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, capex=567, fopex=0, vopex=0,\n", - "# prod_max=100, label='Solar PV', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY])" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, vopex=1302, capex=0, fopex=0, prod_max=500,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=1000)\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, H2O: -3.1839}, vopex=1550, capex=0,\n", - " fopex=0, prod_max=1000, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, vopex=990, capex=0, fopex=0,\n", - " prod_max=1000, label='Wind mill array', basis='MW', varying = [VaryingProcess.DETERMINISTIC_CAPACITY])\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, vopex=567, capex=0, fopex=0,\n", - " prod_max=1000, label='Solar PV', basis='MW', varying = [VaryingProcess.DETERMINISTIC_CAPACITY])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare location(s)}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "region = Location(name='region', processes={LiI, PV, WF, PEM}, capacity_factor= {PV: solar[:8760], \n", - " WF: wind[:8760]}, demand_factor = {Power: demand[:8760]}, demand_scale_level = 1, capacity_scale_level = 1, scales=scales, label='some region')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent." - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [], - "source": [ - "example = Scenario(name='example', demand={region: {Power:50, H2:30}}, demand_scale_level= 1, scheduling_scale_level= 1, capacity_scale_level = 1, network=region, scales=scales, label='example scenario')\n", - "# example = Scenario(name='example', demand={region: {Power: 50}}, network=region, scales=scales, label='example scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.DEMAND}, objective = Objective.COST, inventory_zero = {region: {(LiI, Power): 500}})" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [], - "source": [ - "# lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - "# Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.MAX_DISCHARGE, objective_resource = H2)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 219066 rows, 184025 columns and 528099 nonzeros\n", - "Model fingerprint: 0x20053ffa\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 2e+03]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [2e+01, 1e+03]\n", - "Presolve removed 201547 rows and 146593 columns\n", - "Presolve time: 0.27s\n", - "Presolved: 17519 rows, 37432 columns, 63710 nonzeros\n", - "\n", - "Concurrent LP optimizer: dual simplex and barrier\n", - "Showing barrier log only...\n", - "\n", - "Ordering time: 0.00s\n", - "\n", - "Barrier statistics:\n", - " AA' NZ : 1.752e+04\n", - " Factor NZ : 2.890e+05 (roughly 24 MB of memory)\n", - " Factor Ops : 6.080e+06 (less than 1 second per iteration)\n", - " Threads : 3\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 1.32224400e+10 -1.24479030e+10 6.26e+01 1.53e+03 6.97e+05 0s\n", - " 1 6.38099348e+09 -1.44713167e+09 2.60e+01 1.09e-11 1.53e+05 0s\n", - " 2 4.56590438e+09 1.74954215e+09 1.79e+01 2.52e-11 7.14e+04 0s\n", - " 3 4.13540928e+09 3.71490698e+09 1.47e+01 6.98e-10 5.28e+04 0s\n", - " 4 4.03774378e+09 1.40896802e+10 1.40e+01 4.66e-09 5.77e+04 0s\n", - " 5 4.01243105e+09 1.51456234e+11 1.38e+01 2.38e-07 6.80e+04 0s\n", - " 6 4.01131403e+09 1.61962242e+14 1.38e+01 7.90e-05 1.85e+06 0s\n", - " 7 4.00970024e+09 1.00325460e+20 1.37e+01 4.41e+01 4.11e+10 1s\n", - " 8 4.93527570e+09 1.11429252e+20 1.37e+01 5.73e+03 4.70e+10 1s\n", - " 9 4.96167094e+09 6.01631061e+20 1.37e+01 5.82e+03 2.50e+13 1s\n", - " 10 1.68688954e+11 -1.24479030e+10 1.01e+03 1.53e+03 8.67e+06 1s\n", - " 11 4.30090152e+09 -3.27007741e+09 4.72e+01 6.09e-12 1.97e+05 1s\n", - " 12 3.16669259e+09 1.73452498e+09 2.16e+01 1.07e-11 2.97e+04 1s\n", - " 13 3.05899044e+09 2.29346218e+09 1.58e+01 3.74e-11 2.41e+04 1s\n", - " 14 3.64915299e+09 3.33313758e+09 1.61e+01 1.76e-09 7.99e+04 1s\n", - " 15 4.08349887e+09 4.48521617e+10 1.64e+01 1.36e-06 6.23e+06 1s\n", - " 16 8.49665978e+09 1.07321415e+13 2.58e+01 6.15e-03 4.88e+10 1s\n", - " 17* 7.56553222e+09 2.11321708e+13 1.57e-02 2.74e-05 1.97e+03 1s\n", - " 18* 7.56553388e+09 2.29402043e+19 1.58e-08 2.36e-05 1.99e-03 1s\n", - " 19* 7.56553388e+09 2.27285801e+25 1.60e-14 3.46e-05 2.01e-09 1s\n", - "\n", - "Barrier performed 19 iterations in 1.01 seconds (0.56 work units)\n", - "Infeasible model\n", - "\n", - "\n", - "Solved with barrier\n", - "\n", - "Solved in 0 iterations and 1.52 seconds (0.56 work units)\n", - "Infeasible model\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.core:Loading a SolverResults object with a warning status into model.name=\"unknown\";\n", - " - termination condition: infeasible\n", - " - message from solver: \n" - ] - } - ], - "source": [ - "results_lp = solve(name = 'results_lp', instance = lp, solver = 'gurobi')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/master.ipynb b/examples/publication/master.ipynb deleted file mode 100644 index 09aaa341..00000000 --- a/examples/publication/master.ipynb +++ /dev/null @@ -1,2239 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Master Energy Systems MILP Case Study" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 5" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_5648\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "metadata": {}, - "outputs": [], - "source": [ - "# solar_houston = pandas.concat([solar_houston]*2)" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": {}, - "outputs": [], - "source": [ - "# wind_houston = pandas.concat([wind_houston]*2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i, stretch= True) for i in range(5)])" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "metadata": {}, - "outputs": [], - "source": [ - "# ng_price_df = pandas.concat([ng_price_df]*2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_5648\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "metadata": {}, - "outputs": [], - "source": [ - "# ercot = pandas.concat([ercot]*2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Technology cost" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\n", - "[ 'NaturalGas_FE', 'Commercial Battery Storage',\n", - " 'Pumped Storage Hydropower', 'Residential Battery Storage',\n", - " 'Utility-Scale Battery Storage', 'Hydropower',\n", - " 'Biopower', 'CSP',\n", - " 'CommPV', 'DistributedWind',\n", - " 'Geothermal', 'LandbasedWind',\n", - " 'OffShoreWind', 'ResPV',\n", - " 'UtilityPV', 'Utility-Scale PV-Plus-Battery',\n", - " 'Nuclear', 'Coal_FE',\n", - " 'AEO']\n", - "Length: 19, dtype: string" - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "raw_data['technology'].unique()" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 119, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'RPV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='ResPV', techdetail='Class5', scenario='Advanced'),\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'PEM': low_trl_adv_df,\n", - " 'H2_Comp': med_trl_adv_df,\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'PEM': low_trl_mod_df,\n", - " 'H2_Comp': med_trl_mod_df,\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'PEM': low_trl_con_df,\n", - " 'H2_Comp': med_trl_con_df,\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 120, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')#, demand = True)\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=100,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True, revenue= 0.005)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 123, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - " store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=0, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=0, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='LiI', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex=5.52,\n", - " vopex=4.14, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare the set of processes to consider**" - ] - }, - { - "cell_type": "code", - "execution_count": 124, - "metadata": {}, - "outputs": [], - "source": [ - "process_set = {LiI, WF, ASMR, PEM, H2_Comp, AqOff, PSH, SMR, SMRH, PV} #NGCC\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import cost factors**\n", - "\n", - "In the following case, we consider the *Advanced* scenario." - ] - }, - { - "cell_type": "code", - "execution_count": 125, - "metadata": {}, - "outputs": [], - "source": [ - "cost_dicts = {'advanced': advanced_dict, 'moderate': moderate_dict, 'conservative': conservative_dict}" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "metadata": {}, - "outputs": [], - "source": [ - "capex_factor = {j: {i: pandas.DataFrame(\n", - " cost_dicts[j][i.name][['CAPEX']][:horizon]) for i in process_set} for j in cost_dicts.keys()}\n", - "fopex_factor = {j: {i: pandas.DataFrame(\n", - " cost_dicts[j][i.name][['Fixed O&M']][:horizon]) for i in process_set} for j in cost_dicts.keys()}\n", - "vopex_factor = {j: {i: pandas.DataFrame(\n", - " cost_dicts[j][i.name][['Variable O&M']][:horizon]) for i in process_set} for j in cost_dicts.keys()}" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "metadata": {}, - "outputs": [], - "source": [ - "houston_conservative = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[:8760*horizon], WF: wind_houston[:8760*horizon]}, price_factor={\n", - " CH4: ng_price_df}, capex_factor=capex_factor['conservative'], vopex_factor=vopex_factor['conservative'], fopex_factor=fopex_factor['conservative'], \n", - " scales=scales, label='Houston (conservative)', expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "metadata": {}, - "outputs": [], - "source": [ - "houston_moderate = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[:8760*horizon], WF: wind_houston[:8760*horizon]}, price_factor={\n", - " CH4: ng_price_df}, capex_factor=capex_factor['moderate'], vopex_factor=vopex_factor['moderate'], fopex_factor=fopex_factor['moderate'], \n", - " scales=scales, label='Houston (moderate)', expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": {}, - "outputs": [], - "source": [ - "houston_advanced = Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[:8760*horizon], WF: wind_houston[:8760*horizon]}, price_factor={\n", - " CH4: ng_price_df}, capex_factor=capex_factor['advanced'], vopex_factor=vopex_factor['advanced'], fopex_factor=fopex_factor['advanced'], \n", - " scales=scales, label='Houston (advanced)', expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "#demand_factor = {Power: ercot[:8760*horizon]}, \n" - ] - }, - { - "cell_type": "code", - "execution_count": 130, - "metadata": {}, - "outputs": [], - "source": [ - "houston = {\n", - " 'conservative': houston_conservative,\n", - " 'moderate': houston_moderate,\n", - " 'advanced': houston_advanced\n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=houston, fig_size = (9,6), color = 'orange')\n", - "# plot_location.capacity_factor(process=WF, location=houston, fig_size = (9,6))\n", - "# plot_location.price_factor(resource=CH4, location=houston, fig_size = (8,6), color = 'red')\n", - "# plot_location.demand_factor(resource = Power, location= houston, fig_size = (8,6), color = 'green')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "metadata": {}, - "outputs": [], - "source": [ - "scenario= Scenario(name=f'scenario_advanced', network=houston['advanced'], scales=scales, \n", - " expenditure_scale_level=0, scheduling_scale_level=2, network_scale_level=0, demand_scale_level=1, purchase_scale_level=2, \n", - " capacity_scale_level = 2, label=f'case_advanced', demand={houston['advanced']: {H2_C: 0.2740}})" - ] - }, - { - "cell_type": "code", - "execution_count": 162, - "metadata": {}, - "outputs": [], - "source": [ - "scenario_reduced = reduce_scenario(scenario = scenario, periods = 40,scale_level = 1, \n", - " method = Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.PRICE])" - ] - }, - { - "cell_type": "code", - "execution_count": 163, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint preserve capacity facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp_reduced = formulate(scenario = scenario_reduced, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.PRESERVE_NETWORK}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 164, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 216900 rows, 192641 columns and 603187 nonzeros\n", - "Model fingerprint: 0x585cffbd\n", - "Variable types: 192581 continuous, 60 integer (60 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 164650 rows and 158720 columns\n", - "Presolve time: 1.04s\n", - "Presolved: 52250 rows, 33921 columns, 171889 nonzeros\n", - "Variable types: 33891 continuous, 30 integer (30 binary)\n", - "Found heuristic solution: objective 1.285523e+08\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 1.047368e+06, 20404 iterations, 1.02 seconds (1.41 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1047368.34 0 5 1.2855e+08 1047368.34 99.2% - 2s\n", - " 0 0 2136817.90 0 1 1.2855e+08 2136817.90 98.3% - 3s\n", - "H 0 0 7.998263e+07 2136817.90 97.3% - 3s\n", - "H 0 0 2251064.6295 2136817.90 5.08% - 3s\n", - " 0 0 cutoff 0 2251064.63 2251064.63 0.00% - 4s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (37192 simplex iterations) in 4.48 seconds (4.94 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 3: 2.25106e+06 7.99826e+07 1.28552e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.251064629478e+06, best bound 2.251064629478e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results_reduced = solve(scenario = scenario_reduced, instance= milp_reduced, solver= 'gurobi', name= 'results_reduced', print_solversteps = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 138, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint preserve capacity facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "milp = formulate(scenario = scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.PRESERVE_NETWORK}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 139, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 1973525 rows, 1752641 columns and 5489585 nonzeros\n", - "Model fingerprint: 0x9ae193be\n", - "Variable types: 1752581 continuous, 60 integer (60 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 1465481 rows and 1421644 columns (presolve time = 5s) ...\n", - "Presolve removed 1524450 rows and 1461537 columns (presolve time = 10s) ...\n", - "Presolve removed 1524450 rows and 1461537 columns\n", - "Presolve time: 11.93s\n", - "Presolved: 449075 rows, 291104 columns, 1482858 nonzeros\n", - "Variable types: 291074 continuous, 30 integer (30 binary)\n", - "\n", - "Deterministic concurrent LP optimizer: primal simplex, dual simplex, and barrier\n", - "Showing barrier log only...\n", - "\n", - "Root barrier log...\n", - "\n", - "Ordering time: 0.15s\n", - "\n", - "Barrier statistics:\n", - " Dense cols : 51\n", - " AA' NZ : 1.660e+06\n", - " Factor NZ : 6.421e+06 (roughly 350 MB of memory)\n", - " Factor Ops : 9.600e+07 (less than 1 second per iteration)\n", - " Threads : 1\n", - "\n", - " Objective Residual\n", - "Iter Primal Dual Primal Dual Compl Time\n", - " 0 1.25109196e+12 -3.30737832e+13 1.93e+06 1.27e+05 4.68e+09 17s\n", - " 1 1.20889670e+12 -3.42174582e+13 1.36e+06 1.21e+06 2.59e+09 18s\n", - " 2 1.14283792e+12 -3.40197419e+13 1.26e+06 6.91e+05 2.20e+09 19s\n", - " 3 1.04047157e+12 -3.54006732e+13 9.45e+05 1.95e-04 1.57e+09 19s\n", - " 4 6.72501948e+10 -3.22137889e+13 3.71e+04 4.50e+00 9.06e+07 20s\n", - " 5 3.24811568e+10 -1.40022067e+13 4.63e+03 3.02e-01 1.92e+07 21s\n", - " 6 2.83557037e+10 -1.23140084e+12 9.25e+02 1.94e-02 1.67e+06 21s\n", - " 7 2.76275727e+10 -7.21587336e+11 4.37e+02 8.77e-03 9.05e+05 22s\n", - " 8 2.19519076e+10 -6.56056124e+11 2.67e+02 7.71e-03 7.71e+05 22s\n", - " 9 1.78739909e+10 -5.01564606e+11 1.16e+02 5.81e-03 5.58e+05 23s\n", - " 10 1.48547267e+10 -2.12742612e+11 6.12e+01 2.02e-03 2.42e+05 23s\n", - " 11 1.11747539e+10 -7.62696202e+10 1.07e+01 7.84e-04 8.93e+04 24s\n", - " 12 9.30160752e+09 -5.11973738e+10 1.88e+00 5.37e-04 6.12e+04 24s\n", - " 13 8.60520061e+09 -2.49378464e+10 1.58e+00 2.90e-04 3.39e+04 25s\n", - " 14 6.27236166e+09 -2.33319689e+10 3.12e-01 2.75e-04 2.99e+04 26s\n", - " 15 6.03297504e+09 -1.77253393e+10 2.83e-01 2.00e-04 2.40e+04 26s\n", - " 16 3.59737485e+09 -1.21092199e+10 4.70e-02 1.40e-04 1.58e+04 27s\n", - " 17 2.24367690e+09 -3.38125398e+09 1.92e-02 3.70e-05 5.68e+03 27s\n", - " 18 1.51936899e+09 -1.06126969e+09 1.22e-02 1.14e-05 2.60e+03 28s\n", - " 19 1.51158424e+09 -8.75391387e+08 1.21e-02 9.83e-06 2.41e+03 29s\n", - " 20 7.67827034e+08 -8.21823163e+08 5.41e-03 9.19e-06 1.60e+03 29s\n", - " 21 7.56214631e+07 -1.81865640e+08 5.46e-09 2.34e-06 2.60e+02 30s\n", - " 22 3.13769079e+07 -1.02075069e+08 2.41e-09 1.09e-06 1.35e+02 31s\n", - " 23 1.26184316e+07 -1.33820728e+07 8.99e-10 2.20e-07 2.62e+01 32s\n", - " 24 1.13147588e+07 -1.30891182e+07 7.94e-10 3.17e-07 2.46e+01 32s\n", - " 25 9.44729117e+06 -1.03460687e+07 6.58e-10 2.67e-07 2.00e+01 33s\n", - " 26 6.85842482e+06 -7.10213557e+06 4.63e-10 1.90e-07 1.41e+01 34s\n", - " 27 5.48806665e+06 -4.87783358e+06 3.58e-10 9.77e-08 1.05e+01 35s\n", - " 28 3.74149620e+06 -2.90010714e+06 2.21e-10 1.72e-07 6.70e+00 36s\n", - " 29 2.91862594e+06 -1.61353036e+06 1.50e-10 1.86e-07 4.57e+00 37s\n", - " 30 2.45950382e+06 -1.07107376e+06 1.10e-10 1.33e-07 3.56e+00 39s\n", - " 31 2.11229753e+06 -6.48996829e+05 8.08e-11 3.54e-07 2.79e+00 40s\n", - " 32 1.74102577e+06 -1.00205322e+05 5.06e-11 8.31e-08 1.86e+00 41s\n", - " 33 1.43609038e+06 5.21557630e+05 2.65e-11 6.48e-07 9.23e-01 42s\n", - " 34 1.37862869e+06 9.53861219e+05 2.23e-11 1.99e-07 4.29e-01 44s\n", - " 35 1.07997784e+06 1.03465710e+06 3.61e-08 1.91e-07 4.57e-02 45s\n", - " 36 1.04626493e+06 1.04579304e+06 4.10e-09 2.69e-07 4.76e-04 45s\n", - " 37 1.04606494e+06 1.04606462e+06 6.02e-12 1.65e-07 3.23e-07 45s\n", - " 38 1.04606485e+06 1.04606463e+06 3.20e-11 1.07e-07 2.18e-07 46s\n", - " 39 1.04606468e+06 1.04606464e+06 6.65e-10 3.58e-07 4.01e-08 46s\n", - " 40 1.04606466e+06 1.04606464e+06 3.74e-10 2.03e-07 2.25e-08 47s\n", - " 41 1.04606464e+06 1.04606464e+06 5.53e-09 4.13e-07 3.74e-09 47s\n", - "\n", - "Barrier solved model in 41 iterations and 47.33 seconds (24.45 work units)\n", - "Optimal objective 1.04606464e+06\n", - "\n", - "\n", - "Root crossover log...\n", - "\n", - " 331601 DPushes remaining with DInf 0.0000000e+00 48s\n", - " 55474 DPushes remaining with DInf 0.0000000e+00 50s\n", - " 0 DPushes remaining with DInf 0.0000000e+00 53s\n", - "\n", - " 1 PPushes remaining with PInf 0.0000000e+00 53s\n", - " 0 PPushes remaining with PInf 0.0000000e+00 53s\n", - "\n", - " Push phase complete: Pinf 0.0000000e+00, Dinf 4.6371381e-06 53s\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 151843 1.0460646e+06 0.000000e+00 0.000000e+00 53s\n", - " 151843 1.0460646e+06 0.000000e+00 0.000000e+00 54s\n", - "Concurrent spin time: 10.45s (can be avoided by choosing Method=3)\n", - "\n", - "Solved with barrier\n", - "\n", - "Root relaxation: objective 1.046065e+06, 151843 iterations, 39.21 seconds (29.33 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1046064.64 0 5 - 1046064.64 - - 54s\n", - "H 0 0 8.173488e+07 1046064.64 98.7% - 62s\n", - " 0 0 3865830.00 0 1 8.1735e+07 3865830.00 95.3% - 74s\n", - " 0 0 3865830.00 0 1 8.1735e+07 3865830.00 95.3% - 83s\n", - "H 0 0 3874327.1511 3865830.00 0.22% - 84s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 102\n", - "\n", - "Explored 1 nodes (278422 simplex iterations) in 86.02 seconds (88.48 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 3.87433e+06 8.17349e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max bound violation (7.2942e-06) exceeds tolerance\n", - "Best objective 3.874327151102e+06, best bound 3.874327151102e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = solve(scenario = scenario, instance= milp, solver= 'gurobi', name= 'results', print_solversteps = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 140, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "case= CaseStudy(name = 'casestudy', scenarios = [reduce_scenario(scenario= Scenario(name=f'scenario_{i}', network=houston[i], scales=scales, \n", - " expenditure_scale_level=0, scheduling_scale_level=2, network_scale_level=0, demand_scale_level=1, purchase_scale_level=2, \n", - " capacity_scale_level = 2, label=f'case_{i}', demand={houston[i]: {H2_C: 0.2740}}), periods = 40, scale_level = 1, \n", - " method = Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.PRICE]) for i in ['advanced', 'moderate', 'conservative']])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "reduced scenario " - ] - }, - { - "cell_type": "code", - "execution_count": 141, - "metadata": {}, - "outputs": [], - "source": [ - "# casestudy = CaseStudy(name = 'test', scenarios = scenario, vary = 'demand', vary_as= [{houston[scenario_]:{H2_C: 0.2740 + 0.1*i}} for i in range(4)])" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Visualization of scenario data**" - ] - }, - { - "cell_type": "code", - "execution_count": 142, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[scenario_advanced_reduced,\n", - " scenario_moderate_reduced,\n", - " scenario_conservative_reduced]" - ] - }, - "execution_count": 142, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.scenarios" - ] - }, - { - "cell_type": "code", - "execution_count": 143, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=case.scenarios[0], location=houston['advanced'], process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=case.scenarios[0], location=houston['advanced'], process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# plot_scenario.demand_factor(\n", - "# scenario=scenario, location=houston[scenario_], resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.price_factor(\n", - " scenario=case.scenarios[0], location=houston['advanced'], resource=CH4, fig_size=(9, 5), color='black')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Optimize for minimum cost**" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "metadata": {}, - "outputs": [], - "source": [ - "# milp_cost = formulate(scenario=scenario_w_penalty, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - "# Constraints.RESOURCE_BALANCE, Constraints.NETWORK}, objective=Objective.PROFIT_W_DEMAND_PENALTY)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With demand penalty" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "metadata": {}, - "outputs": [], - "source": [ - "# milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - "# Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.PRESERVE_NETWORK, Constraints.DEMAND}, objective=Objective.COST_W_DEMAND_PENALTY)#, inventory_zero = {houston: {(LiI, Power): 1}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 149, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint preserve capacity facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint preserve capacity facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint preserve capacity facility\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario_advanced_reduced': ,\n", - " 'scenario_moderate_reduced': ,\n", - " 'scenario_conservative_reduced': }" - ] - }, - "execution_count": 149, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.PRESERVE_NETWORK}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 150, - "metadata": {}, - "outputs": [], - "source": [ - "# milp_cost = formulate(scenario=scenario, constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - "# Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.PRESERVE_NETWORK}, objective=Objective.COST)#, inventory_zero = {houston: {(LiI, Power): 1}})\n" - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 216900 rows, 192641 columns and 603187 nonzeros\n", - "Model fingerprint: 0x585cffbd\n", - "Variable types: 192581 continuous, 60 integer (60 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 164650 rows and 158720 columns\n", - "Presolve time: 1.11s\n", - "Presolved: 52250 rows, 33921 columns, 171889 nonzeros\n", - "Variable types: 33891 continuous, 30 integer (30 binary)\n", - "Found heuristic solution: objective 1.285523e+08\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 1.047368e+06, 20404 iterations, 1.14 seconds (1.41 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1047368.34 0 5 1.2855e+08 1047368.34 99.2% - 2s\n", - " 0 0 2136817.90 0 1 1.2855e+08 2136817.90 98.3% - 3s\n", - "H 0 0 7.998263e+07 2136817.90 97.3% - 3s\n", - "H 0 0 2251064.6295 2136817.90 5.08% - 4s\n", - " 0 0 cutoff 0 2251064.63 2251064.63 0.00% - 4s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (37192 simplex iterations) in 4.79 seconds (4.94 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 3: 2.25106e+06 7.99826e+07 1.28552e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.251064629478e+06, best bound 2.251064629478e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 216900 rows, 192641 columns and 603187 nonzeros\n", - "Model fingerprint: 0x3fd1693d\n", - "Variable types: 192581 continuous, 60 integer (60 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 164650 rows and 158720 columns\n", - "Presolve time: 0.97s\n", - "Presolved: 52250 rows, 33921 columns, 171889 nonzeros\n", - "Variable types: 33891 continuous, 30 integer (30 binary)\n", - "Found heuristic solution: objective 1.299200e+08\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 1.047317e+06, 19935 iterations, 0.98 seconds (1.33 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1047317.48 0 5 1.2992e+08 1047317.48 99.2% - 2s\n", - " 0 0 2175706.08 0 1 1.2992e+08 2175706.08 98.3% - 2s\n", - "H 0 0 2299092.8605 2175706.08 5.37% - 3s\n", - " 0 0 cutoff 0 2299092.86 2299092.86 0.00% - 3s\n", - "\n", - "Explored 1 nodes (29082 simplex iterations) in 3.55 seconds (4.21 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 2.29909e+06 1.2992e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (7.9004e-06) exceeds tolerance\n", - "Best objective 2.299092860476e+06, best bound 2.299092860476e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 216900 rows, 192641 columns and 603187 nonzeros\n", - "Model fingerprint: 0x09d6947f\n", - "Variable types: 192581 continuous, 60 integer (60 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 164650 rows and 158720 columns\n", - "Presolve time: 0.96s\n", - "Presolved: 52250 rows, 33921 columns, 171889 nonzeros\n", - "Variable types: 33891 continuous, 30 integer (30 binary)\n", - "Found heuristic solution: objective 1.315669e+08\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 1.047215e+06, 20519 iterations, 0.96 seconds (1.34 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1047215.34 0 5 1.3157e+08 1047215.34 99.2% - 2s\n", - " 0 0 2234827.73 0 1 1.3157e+08 2234827.73 98.3% - 2s\n", - "H 0 0 8.008066e+07 2234827.73 97.2% - 2s\n", - "H 0 0 2375909.6560 2234827.73 5.94% - 3s\n", - " 0 0 cutoff 0 2375909.66 2375909.66 0.00% - 3s\n", - "\n", - "Explored 1 nodes (29653 simplex iterations) in 3.63 seconds (4.13 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 3: 2.37591e+06 8.00807e+07 1.31567e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.375909655962e+06, best bound 2.375909655962e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "data": { - "text/plain": [ - "Results(name='casestudy_results', results={'scenario_advanced_reduced': scenario_advanced_reduced, 'scenario_moderate_reduced': scenario_moderate_reduced, 'scenario_conservative_reduced': scenario_conservative_reduced})" - ] - }, - "execution_count": 151, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "metadata": {}, - "outputs": [], - "source": [ - "# milp_cost.objective_cost_w_demand_penalty.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Results(name='casestudy_results', results={'scenario_advanced_reduced': scenario_advanced_reduced, 'scenario_moderate_reduced': scenario_moderate_reduced, 'scenario_conservative_reduced': scenario_conservative_reduced})" - ] - }, - "execution_count": 153, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.results" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results = results_reduced, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6), network_scale_period = 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results = results, x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6), network_scale_period = 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results = case.results.results['scenario_advanced_reduced'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6), network_scale_period = 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 156, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABAIAAAI6CAYAAAC92epPAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAB0t0lEQVR4nO3deVhU5f//8dcMIIICLoH7buqHrEzFzBZyz8xSs7K0XNLKTC0t0zaXFlM/thm2WKmZueWWlXtaln5cMjO1tCxcUXADV0Tm/v3hj/mCw8AwDMLMPB/XxXXBOfd97vcMc58z533OuW+LMcYIAAAAAAD4BWthBwAAAAAAAK4cEgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAkE8jR46UxWLJ8cdqtap06dJq2rSpxowZo+Tk5MIOG1fYhg0bVLFiRcXExOjkyZOFHU6upk6dmuvnOref6tWrO92+zWbTvHnz1L17d9WuXVthYWEqUaKEatasqY4dO+rTTz/V2bNnnda//fbb8x3fyJEjnW5/8uTJ9nJ///23S+9ZTm317NnTpW3Au+T0Oczu8x8fH+/2Z1KSLly4oKlTp+ree+9VjRo1VKJECYWHh+vqq6/WQw89pFmzZunixYsF82IB+JTAwg4AALxd586dVbt2bUnSww8/LEm69dZb9dhjj9nLnD17Vps2bdL06dO1YcMGffjhh/r66691/fXXF0rMuPKmT5+uhIQEJSQkaNWqVbr33nsLOySXvPDCC/rPf/6TZdnRo0f1zDPPSJI6deqkzp07O9R7/fXXde7cuWy3uXHjRvXp00e///67atWqpY4dO6pmzZoKCAjQvn37tHjxYvXp00cjR47Uu+++m+32Jemqq67S22+/7bB8/vz5WrBggSTp7bff1lVXXeU0fmdmzJhh//3LL7/UK6+8kmN56dL/2Fn7tWrVyrW+r1uzZo3WrFmjUqVK6emnn/aJWF588UX16dNHf/zxh9544w1J0mOPPaZbb71VJUuWdCgfGRlp/5x8/PHHWrt2raT/++xcd911TttasmSJnnzyScXHx+vaa6/VQw89pKpVqyo9PV3//POPFi5cqJkzZ2rUqFH68MMPFRsb6/brAuAHDADAYyQZSaZHjx7Zrt+yZYspUaKEkWQqVapkjh8/fmUDRKFZt26dKV++vLnhhhvMsWPHCjucXE2ZMsVIMqtXr3ZY9++//9o/6yNGjMi2fmxsrKlWrZrD8oULF5qQkBATEBBg3nrrLZOenp5t/S+++MKEhoYai8Vixo8f7/L2jTFmxIgR9vj+/fdfp/E7i33//v3GarXat1GvXr1syzmTW/v+KuN9cfZ/8+ZYVq9ebf+fT5kyxaU6PXr0sNfJzaRJk4zVajWhoaHmiy++yLZMenq6eeutt4zVajXFihUzX375ZV5eAgA/w6MBAHAF3XDDDRo6dKgk6eDBg3r33XcLOSJcKTfddJMSEhK0ZcsWlSlTprDDKRRbt27Vgw8+qHPnzumdd97RM888I6s1+68i3bp106xZs2SM0XPPPae5c+desThnzpwpm82msmXLSpL+/PNPbdmy5Yq1D2S2dOlSPfXUU7LZbJo9e7a6deuWbTmr1apnnnlG7777ri5cuKBHHnlE69evv8LRAvAWJAIA4ArLfJvzokWLCjESwLlKlSqpbdu2bictmjRpkuXW5PT0dHXt2lXnzp1TTEyM+vfvn+s2OnTooC5dukiS+vbtq8TERKfbz4uQkBC1bdvW/kjP5b788ktVrVpVw4YNy7IMuNKSk5PVvXt32Ww2denSRXfddVeudfr376+YmBhdvHhRDz30kC5cuHAFIgXgbUgEAMAVlvlZ4T179hRiJIBzrVu31tKlS3N8Zjkn48aN07Rp0+x/z5gxQ7t27ZIkDRgwQBaLxaXtDBgwQNKlE6L333/f6fbzoly5clq6dKm6d+/usO6PP/7Q1q1bdf/99+uBBx6wxzl79mwZY9xqD3DXu+++q2PHjkmSBg4c6FIdi8Wip556StKlwQm/+OKLAosPgPciEQAAV1hAQID997S0NPvvzkYZnzFjhm677TaVLVvWvu7222932O727dvVp08f1axZUyEhISpdurSaNGmiN998U2fOnMk1rn379unpp5/Wf/7zH5UoUUIhISGqWbOmunTpos8++0wpKSlO6+7Zs0f9+vVT7dq1FRISooiICDVo0EDDhw/XkSNHnNY7f/68xo8frxtvvFEREREKCgpSxYoV1b59e02cOFFJSUnZ1jt48KA91tDQUBUvXly1a9e2305+/vz5XF9vZj179nRppPcDBw7IYrGoZs2aLm1j6tSpWrNmTbbLPf26UlJSNHr0aN1www0KDw9XaGioateurUcffVS//fZbnt6PgvDxxx9LuvQ579Chg8v1brnlFvtdCZMnTy6Q2DLLGCSwa9euqlKlipo1aybp0v/+xx9/LPD282rHjh3q27evatWqpZCQEJUoUUJ169ZV9+7dNWvWLKWmpjqtm599xpw5c9S2bVtFRkYqKChIZcqU0a233qqRI0dq586dWcpm9I1Ro0ZJkvbu3etyn3Dm1KlT+uyzz9S5c2dVr15dwcHBKlmypK655hoNHjxYBw4cyLZeQcRSkDL6TdmyZXXzzTe7XK9Dhw72JNaV6DcAvFBhD1IAAL5EuQwWaIwx8fHx9nK1a9e2L58+fbqZPn26qVevnn0b/fv3N3Xq1DFvvPGG+eijj0z79u2NJBMbG5tlmxMmTDABAQEmMDDQ9O7d23z88cdmwoQJpkmTJkaSqVKlitm+fbvTmGbPnm2KFy9uJJl7773XTJo0ybz99tvm4YcfNgEBAUaSCQsLM3///bdD3enTp5tixYqZwMBA06tXLzN58mTz7rvvmlatWhlJJiIiwnz//fcO9ZKTk02DBg2MJHPzzTebcePGmcmTJ5sXX3zRVKxY0UgyxYoVMwcPHsxSb+vWraZ06dImICDAPPDAA+add94xH3zwgenXr58JCQkxksw111zj9LVmZ926dWbatGkmKCjISDJdunQx06dPN+vWrctSLi4uzv6/+/333x22MX36dHPttdea//znP2b69Olmz5495vDhw/b/rXIYTCw/r2vr1q2mQoUKRpJp3bq1mThxovn4449Nz549TWBgoLFYLOa///1vnt6TnLgyWGBmp0+ftr+31atXz3N7sbGx9vb+/PPPXMvnZ7C+mjVrmquvvtr+98SJE+3beuyxx1zaxpUaLPCtt96y9/tevXqZjz76yIwfP9507NjR3n5kZKQ5ffq0Q9387DN69+5tJJmaNWuaV155xUyePNm88cYbpnHjxvZ258yZYy+f0Tc6depkJJmrrrrK3icyfvbs2ZOn156x7yhZsqQZOHCg+fDDD83rr79ubrvtNiPJlCpVyqxdu9ahXkHEYkzBDBa4a9cu+/rbb789zzFVq1bNSDKBgYHZfgYA+DcSAQDgQa4kAj777DN7uccff9xhfcZJT6VKlcytt95qzp07Z1+Xnp5u6tSpkyURkDG6e0BAgFm6dGmWbaWnp5tHHnnESDLlypUzR44ccWhv1apV9hHSP/30U4f1P//8swkODjaSzK+//ppl3fLly43FYjFWq9UsW7bMoe5LL71kTwbEx8dnWTds2DAjyXTo0MGhXkpKivnPf/6T7YlU06ZNjaRsT2y3bdtmQkJC3B4JvGXLlkaSadWqVbbr27Zta//fvf766w7rU1NTTVhYmBk5cmS29XM6UXD3dSUkJJjIyEgjybz00ksO65ctW2b//y5YsCDbuPIqr4mA9evX28u3bt06z+316dPHXn/mzJm5lnf3RHzdunUO7+Phw4ftybAyZcqYCxcuFFj7eZHR7wMDA7Pte1999ZU9hhMnTmRb1519xtKlS40kU7lyZXPy5Mks62w2m3n44YedfsY9OVL/NddcY8LCwszOnTudtlOuXDmnJ8AFOWvAxIkTTVJSUq4/Xbt2zTERMHPmTPv6vn375jmmjGSsJLN+/fr8vkQAPoZHAwDgCkpJSbHPNR0cHKwhQ4Y4LXvw4EHFxcWpePHi9mVWq1WDBg3SHXfcYd/eoEGDJEkPP/yw2rZtm2UbVqtV7733niIiInTkyJEsg59JlwZw69u3r2w2m1q2bKnevXs7xNGsWTP16tXLYXl6eroef/xxGWPUvXt3tWnTxqHMiBEjVKlSJSUnJ+v111/Psm7ZsmWSlG29sLAwDR482GF5cnKy/ve//0mSw2uVpGuvvdbpnPOuyBiI64cfftCpU6eyrDt9+rTWrFmjkJAQSdLXX3/tUD+jXl5ufZfy97qGDh2qpKQk1ahRQyNHjnRY36ZNG/uAe8OGDSuU59wzP+IRHh6e5/qZ6xw9etQjMWUnY0DABx54wL6sXLly9kdxjh8/rqVLlxZY+65KTk629/sePXpk24fuvfde+34is/zuMzL6bcbjPJlZLBa98sor7r+wPOrevbv+85//OCx/+eWXVbVqVR05ckSzZs26YvFkGDBggCIjI3P9yS02b+k3ALwTiQAAKACpqak6evSo/Wf//v2aP3++brnlFv39998KDAzUZ599pquvvtrpNurUqaNrr73WYfmTTz5p/3L+xRdf2J/ddzalVEREhNq3by/p0vPPJ0+etK9bunSp/vnnH0nSQw895DSWjh07qmzZsgoMDMxS999//5WU9cQps8DAQLVs2VLSpcHWbDabfV16erok6aeffsq2bufOnbVixQqVL1/evixzfWf1Ro0aZX/OO68yTuDT0tLsJzwZli5dqgsXLuj555+XJG3cuNFh/IOvv/5alSpVUsOGDfPUrruv68SJE/aTiS5dumQZfyKzjBPCXbt2Fco0eJnHlwgNDc1z/cx1kpOTPRLT5S5evKg5c+bommuuUf369bOsy/z5njlzZoG0nxeZ+31O/fbee+9V2bJls0zRmN99Rka//eWXX3Tu3DmHurVq1dKKFSuyTWh50vLlyzV27Nhs1wUEBKhBgwaSpLVr1xZoHNl57rnntGLFilx/skvgZOYN/QaA9yIRAAAFYNasWVmu/FStWlX33nuvduzYoRYtWmjt2rU5foGXlO2Vrst9//339t8bNWrktFzGugsXLmjdunX25atXr7b/ntPJa9u2bXX06NEsJ0iZ61auXDlL4iPzT+nSpSVd+lK7e/due52Mga9mz56tLl26aMOGDVnaLFOmjFq1apXljojSpUvb35dBgwZp6NCh9mREhlq1auVpUK3L62Zsf/HixVnWff3114qJiVGfPn0kScYYffPNN1nKLF682KXpvS7n7uv6+eef7QNO1qhRw+n/oGTJkvY6mzZtynN8+ZX5ymR2J4+5yVzn8qvQnrJy5UolJiaqa9euDuvuvfdeBQUFSbr0OXBl8M2C5Gq/7dOnj44ePZrl/c/vPiPjMxgfH6+bb75ZCxYscBj0tFWrVqpQoUIeXlHeVaxYUWFhYfa/T58+rWPHjtk/8xknwYcPHy7QOLITHR2tVq1a5fqT23vkDf0GgPciEQAABaBNmzZZrvysXLlSGzdu1LFjx7Rq1So1bdo01224citoxvSDGSN+O1OpUiWHOpf/XrFixVzby65tSbr++uud3v767rvv2stlvoI+cuRIe2Jh3rx5atq0qWrWrKkhQ4Zo/fr1TtudPHmySpcurQsXLmj8+PGqWbOmmjRpojFjxjidjvHgwYP6+++/HX727t3rUDbjroDvvvvOfqU+PT1d3333nTp06JDlin/mxwN+//137d27N8+PBeTndWVe/uSTTzr9H9x///32cjnN4lBQIiMj7b+7c2Uy85XRzNvypMyzBVyuTJkyat26tSTpzJkzWrRoUYHE4KrM/b5UqVJu13Vnn3HffffZ75D49ddf1blzZ5UrV06PPPKIFi1adMXmrDfG6PPPP1fz5s1VsmRJhYWF6aqrrnK47T6vM4gUJd7QbwB4r8DciwAA8qpChQpq1apVvraR+XZeZ06fPi1JWa6aZyfz+sxfDjPqu7INZ21L0qJFi1y6dTXzHQVRUVHauHGjPvjgA33wwQf6+++/9e+//+qtt97SW2+9pfr16+vtt992eB9vvvlmbdu2TW+//bamTp2q48ePa9OmTdq0aZNeeOEF3XnnnXrvvfdUq1Yte51u3brphx9+cIinWrVqio+Pz7KsQ4cOGjdunI4ePar169fr5ptv1s8//6xjx47p7rvvlnRpLIEtW7Zo5cqVOnfunEJCQrR48WKFhobaH4XIK3deV+b/wejRo3XTTTfl2k716tXdii8/6tevr8DAQF28eFF///13nuv/9ddf9t8bN27sydAkXbpyunDhQtWvX1+lSpXK9nnqdu3a6bvvvpN0aSyB3O7oKUiu9vv81HW2z7BYLJo1a5a6dOmi9957T2vXrtWJEyc0ffp0TZ8+XVFRUXrppZc0YMCAPMfmqosXL6pz585avHixgoKC1Lt3bzVr1kwVKlSwT5k3fvx4LV++vMBiuBJuuOEG++/56TfFihXTdddd57G4APgGEgEA4MUybo3N7apX5vWZbxHNfGvt+fPn8zQgVea6TZo0yfIsv6tCQkI0ePBgDR48WBs3btTs2bM1Y8YMHTlyRNu3b1fbtm21dOlS+9XYDJUrV9aECRP05ptvavny5Zo5c6bmz5+vc+fO6bvvvtPGjRu1fft2lStXLs8x3XTTTSpbtqyOHTumxYsX6+abb9aiRYtUtWpV+5fpDh06aPTo0Tp79qxWrlypDh06aPHixWrdurVbJ2fuvq7M/4Orr74638mnglKyZEk1adJE69atU3x8vE6ePOnylWybzabff/9d0qXETeZEiKd8/fXXOn36tLZv3+7SldPly5fr2LFjKlu2rMdjcYWr/T4/dZ3tMzJ06dJFXbp0UXx8vGbPnq3p06drx44dSkxM1MCBA5WUlKTRo0fnOT5XxMXF2R/dmTlzpu69916HMl988UWBtH0l1a1bVxUrVtShQ4f0+++/y2azuZQglqSTJ0/a73i66aab7IOcAkAGHg0AAC9Wu3ZtSZeuaGYe0OtyBw8etP+e+UQqo74kHTp0yK22JWnfvn15qpudJk2aaMKECdq3b5/Gjx8vi8Uim82ml156yWmdoKAgtW/fXl988YX27dtnH/zs6NGjeuutt+zl1qxZI3NpytwsP5ffDSBdGmisXbt2kmQfA2Dx4sVZbvlv1KiR/fnexYsXKzExURs3bnT7sQB3X5en/wcF6bHHHpOU/dgKOcm4G0OSHn/88QKJbcaMGQoJCdGSJUtyHNwt446QtLQ0zZ0712Ptr1mzRn/++afL5V3t9/mp62yfcbnq1avr+eef1/bt2/XNN9+oTJkykqQ333yzwAaoy3jvK1asmG0SwJdk9JujR49mGashN4sXL7bPEFJQ/QaAdyMRAABerHnz5vbff/nlF6flMkaKL1asmJo1a5bn+qtWrVKXLl00ffr0bOtePtBfZqmpqSpbtqzKli2bZVCxCRMmOIzMnxHjs88+a5/ybvv27fZ1J0+e1EsvvZRl0MEMV111laZMmWIf6yBzvbzKOKHfsWOHvvvuO/31119ZTvItFot9UMBvvvnG/qU7Y6T1vHL3dTVr1kzFihWTlPP/QJLuvPNOBQYGFspggdKlqd7q1q0rSXr//fddrpdRNjIyUk899ZTH48qYErBjx4664447chzcLfPt7p6cPaB58+Z6880381Q+Q079dubMmerSpUuWfpbffcb8+fP14YcfZlunffv2evXVVyVdSpZc/nnOuG0/vxITEyVlHcfgcpkfm8mOp2IpaE8//bT9zpO89Ju4uDhJlwYudDarCwD/RiIAALxYt27d7LftZsyBfrmUlBT7Fdju3btnuc23bdu29qt9zupLl76Azps3L8so15nrTps2zWndr776SsePH1fnzp3tI69L0sSJE/XJJ584rZfRVuZbyE+ePKnXX39dK1asyLZOUFCQrrrqKod6edW2bVt7rAMGDFBYWFiWEyjp/5IFCQkJeuONNxQTE+PW4xGS+6+rVKlS9rsFli5d6nQgwL1792r58uWqVatWgTxj74qAgADNnj1boaGh2rBhgz744INc63z33XeaM2eOAgIC9OWXX2Z5FMJT5s6dq7S0NPXo0SPXsi1atFDlypUlXZqW7sCBAx6PxxWu9HtJGjdunObPn68aNWrkqW5O+4yvv/5ar7zyitM2M+8jLu+DGeOIZE4IStL999+fp2fYM9rYs2dPlqk3MxhjtHXr1hy34alYClpERIRmzJghq9WqOXPm2MepyMkHH3ygDRs2qESJEpo9e7bLjxMA8C/sGQDAi4WHh9tH5f/8888dTiRtNpuefvppJScnq1y5chozZkyW9VarVR9//LGsVqu+//57TZ061aGNr776SgsXLtRNN92U5Rn0zHV/+eUXvfbaaw51d+/erUGDBiksLCzbW/y//vprbd682WH5iRMn7M8A33fffQ7r33rrrWxva968ebN27tzptJ6rIiIidNttt0mS/vnnH7Vp08Z+5T1Dq1at7M/d/vPPPx55LMCd1zVmzBiVK1dOZ8+e1aOPPqrU1NQs60+dOqWHHnpI6enpGjNmTKFeCb3++us1a9YshYSEaMCAAXrvvfeyPZGTLk3Bef/99yswMFAfffRRgY1/8OWXX6pixYoubd9qtdoTL8YYj94VkBeX9/uVK1c6lPnvf/+rrVu36oEHHlCdOnWc1s3rPkOSkpKS9N577zksN8bY7xq6/vrrdfXVV2dZn/F3YmKifQyC1NRUrVy50uFzm5OMxwGOHz+usWPHOqyfMGGC05k2PB3LldC2bVtNmjRJVqtV999/v31GhMvZbDa9++67GjBggEqUKKE5c+ZkGaAVADJjsEAAyKdt27Zp27ZtWZb9888/9sGqatWq5dJo7gsXLtTp06ftV3Uzb+O6665zepWqR48eOnbsmIYOHao777xTPXr0UNOmTXX69GnNmjVLGzZsUJUqVfTdd98pKirKoX6LFi305ZdfqmfPnurVq5e+++47tWjRQqmpqfrpp580b9481axZM9svn5nrvvzyy/r+++91zz33qFixYtq2bZumTp2qoKAgffXVV6pWrVqWumFhYdq7d69uvvlmPfjgg2rQoIFKlCihf//9V9OnT9eBAwfUrFkz+63G0qXblIODg/XPP/+odu3a6tGjh66++mqlp6fr999/1xdffKGLFy/qqaeeUseOHXN9z3PSoUMHrVq1yv775UJCQtSyZUv7lVNniYAjR444nGytX79egYGBKleunFq3bp2v11WuXDmtXLlSd955p7799ltdd911evjhh1W+fHnt2bNH06ZN0+HDh/X666+rc+fO+XpP1q9frz179mQZVX/btm32z2n37t1z3UaHDh30448/6tFHH9WgQYM0ceJEdezYUTVr1lRAQID27dunb775Rr/99ptq1aqljz76yOWZGDLiyNwfFy5cqKuuusqhHy5cuFBHjx7V2rVrdfvtt2vmzJk59tWM/2NwcLB92ZQpU1ShQgX7//G///2vJGV5ljtjWkhPy9zv27Vrp0ceeURNmzZVcnKyVqxYoeXLl6tx48bZ3nmRn31Gxl0ZgwYN0rfffqvmzZsrMjJSiYmJmj9/vjZv3qzy5cvbp2PMrHXr1ipXrpyOHDmi7t27q02bNlq0aJFOnDihoUOHuvza+/Xrp2+++UYrVqzQCy+8oJ9++kmtWrWSxWLRypUrtWLFClWvXl3x8fE6cuSIvvjiC5UsWTJL3/FULCtWrNCRI0f0xx9/2Jdl9O/L25QuTT+5YMECSZf28Rly29c//vjjql69uvr166cHH3xQb775pu666y5VrVpV6enp+ueff7Rw4UL9/fffuuGGG/Tpp59mmXUAABwYAEC+jBgxwkhy+tOjRw+XtlOtWjWn2xgxYkSu9X///Xfz6KOPmurVq5vg4GATHh5uGjdubN544w1z6tSpXOvHx8ebgQMHmrp165rQ0FBTvHhxU79+ffPKK6+Y5OTkPNetV6+eGTRokNm7d2+2dc6fP29mzZplunXrZurVq2dCQ0NNQECAKVu2rGnRooX5+OOPTVpamkO9pKQkM3HiRHPXXXeZqlWrmuDgYFOsWDFTuXJlc++995ply5bl+lpdsWfPHiPJWK1Wk5iYmG2Zjz76yEgyVatWdbqd1atXO/2/xsbGeux1nTp1yowZM8bExMSY8PBwExQUZCpXrmwefPBBs379erfeg8v16NEjx896XqSnp5u5c+eabt26mdq1a5uSJUuakJAQU716ddO5c2czdepUc+HChTxtMy/9MLv+llNfdeX/mFP7uf24up+43Pbt282jjz5qatSoYYKDg02JEiVM48aNzX//+1+TmpqaY1139xmrV682AwYMMA0bNjSlSpUyAQEBJiwszDRq1MiMGDHCHDt2zGnd3377zbRt29aEh4ebkJAQc80115iJEyea9PT0PL3utLQ0884775jGjRub0NBQU6xYMVOtWjXzyCOPmG3btjl8VqtVq1YgscTGxjr9n2bX5r///pvj5yC3fX1qaqqZMmWK6dy5s6levboJCQkxJUqUMLVq1TLdunUz8+bNMzabzeX4AfgvizH/f0hRAAAAAADg8xgjAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAPxJY2AH4KpvNpkOHDiksLEwWi6WwwwEAAAAA+DhjjE6dOqWKFSvKanV+3Z9EQAE5dOiQqlSpUthhAAAAAAD8zP79+1W5cmWn60kEFJCwsDBJl/4B4eHhhRwNMthsNiUlJSkyMjLHDBmAoot+DHg/+jHg3ejDRVdKSoqqVKliPx91hkRAAcl4HCA8PJxEQBFis9l0/vx5hYeHs9MCvBT9GPB+9GPAu9GHi77cHk/nvwYAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEQAAAAAAgB8hEeBhcXFxio6OVkxMTGGHAgAAAACAAxIBHta/f3/t3LlTmzZtKuxQAAAAAABwQCIAAAAAAAA/QiIAAAAAAAA/QiIAAAAAAAA/EljYAQAA8s9iKewIriSrpPKFHcQVZUxhRwAAAHwJdwQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHAgs7gKImPj5eDRs2VNWqVbMsr1q1qr7++utCigoAAAAAAM8gEZCNu+++W1OnTi3sMAAAAAAA8DgeDQAAAAAAwI94XSJg3bp1qlu3riwWi+Lj4ws7HAAAAAAAvIrXJALOnTunIUOG6LbbbtPu3bvzVHfp0qVq3bq1ypQpoxIlSqhhw4Z6//33ZbPZsi2/e/duderUSQ0bNtQ111yjAQMGKDEx0RMvAwAAAACAQuUViYA9e/aoQYMGmjdvnpYsWZKnumPHjlW7du1UvHhxrVixQr/++qtat26tAQMGqGPHjrp48WKW8gEBAUpPT9ebb76pLVu2aMWKFdq6datuuukmnThxwpMvCwAAAACAK84rEgE7duxQy5YttX37drVu3drlemvXrtWwYcMUHR2t+fPnq1GjRqpTp47Gjh2rvn37avHixRo7dmyWOlWqVNGGDRtUt25dSVLFihU1efJk/fPPP5o0aZJHXxcAAAAAAFeaVyQC2rdvr0mTJqlkyZJ5qjdy5EhJ0oABAxQUFJRl3ZAhQyRJ48aN07lz53LcTr169RQeHq7//e9/eWofAAAAAICixisSAQEBAXmuk5SUpDVr1kiSWrZs6bC+bt26qly5slJSUrI8bpCcnKwLFy5kG0N6enqe4wAAAAAAoCgJLOwACsrmzZtls9kUFBSkWrVqZVumXr16OnDggDZt2qTOnTtLkgYNGqQ77rhDXbt2tZfbu3evTpw4oQYNGjhtLzU1Vampqfa/U1JSJEk2m83poIS48mw2m4wx/E/gg7wirws3sc+Cr+F4DHg3+nDR5er/xGcTAXv27JEkRUZGymrN/gtyhQoVspTN8N///lctWrRQVFSUzpw5o/79+6ts2bLq37+/0/bGjBmjUaNGOSxPSkrS+fPn3X0Z8DCbzabk5GQZY5x+LgDvVL6wA0ABYuYa+BqOx4B3ow8XXadOnXKpnM8mAjKuyIeEhDgtExoaKunS4wAZBg8erEmTJqlly5ayWCw6fvy4mjZtqnXr1qlSpUpOtzV8+HANHjw4S/tVqlRRZGSkwsPD8/ty4CE2m00WiyXHBBEAFDVRUVGFHQLgURyPAe9GHy66ihcv7lI5n00EuOu6667Thx9+mOd6wcHBCg4OdlhutVrpHEWMxWLh/wLAq7C/gi/ieAx4N/pw0eTq/8Nn/2sZV+FzmhHg7NmzkqSIiIgrEhMAAAAAAIXNZxMBGQMEJiUlOR0wISEhIUtZAAAAAAB8nc8mAho1aiSr1aq0tDSHwQAz/Pnnn5KkmJiYKxkaAAAAAACFxmcTAVFRUYqNjZUkrVq1ymH9rl27dODAAYWFhemOO+640uEBAAAAAFAofDYRIEkjRoyQJL3//vu6ePFilnUTJkyQJD333HP22QM8IS4uTtHR0dxlAAAAAAAokrwmEZCUlKTDhw/r8OHDOS7LLDY2Vq+//rp27NihTp06acuWLdq9e7eGDRumyZMn684779Tw4cM9Gmf//v21c+dObdq0yaPbBQAAAADAE7xm+sCYmBjt3bs3y7ImTZrYfzfGZFvvhRde0A033KAJEyaoRYsWSktLU506dfTuu++qf//+CggIKNC4AQAAAAAoSrwmERAfH+923Xbt2qldu3aeCwYAAAAAAC/lNY8GAAAAAACA/CMRAAAAAACAHyER4GHMGgAAAAAAKMpIBHgYswYAAAAAAIoyEgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEAAAAAAPgREgEeFhcXp+joaMXExBR2KAAAAAAAOLAYY0xhB+GLUlJSFBERoeTkZIWHhxd2ODmyWAo7AhQ0ernvox/7NvowfI3NZlNiYqKioqJktXJdCvA29OGiy9XzUP5rAAAAAAD4ERIBAAAAAAD4ERIBAAAAAAD4ERIBAAAAAAD4ERIBAAAAAAD4ERIBAAAAAAD4ERIBAAAAAAD4ERIBHhYXF6fo6GjFxMQUdigAAAAAADggEeBh/fv3186dO7Vp06bCDgUAAAAAAAckAgAAAAAA8CMkAgAAAAAA8CMkAgAAAAAA8CMkAgAAAAAA8CMkAgAAAAAA8CMkAgAAAAAA8CMkAgAAAAAA8CMkAgAAAAAA8CMkAgAAAAAA8CMkAjwsLi5O0dHRiomJKexQAAAAAABwQCLAw/r376+dO3dq06ZNhR0KAAAAAAAOSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHSAQAAAAAAOBHAgs7AAAAAADwdhZLYUdwJVkllS/sIK44Ywo7As/hjgAAAAAAAPwIiQAAAAAAAPwIiQAAAAAAAPwIiQAAAAAAAPwIiQAAAAAAAPwIiQAAAAAAAPwIiQAPi4uLU3R0tGJiYgo7FAAAAAAAHFiM8aXZEIuOlJQURUREKDk5WeHh4YUdTo78a85T/0Qv9330Y99GH4avsdlsSkxMVFRUlKxWrkvBN3As9n3ecDx29TyUPS8AAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERICHxcXFKTo6WjExMYUdCgAAAAAADizGGFPYQfiilJQURUREKDk5WeHh4YUdTo4slsKOAAWNXu776Me+jT4MX2Oz2ZSYmKioqChZrVyXgm/gWOz7vOF47Op5KHteAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAD4uLi1N0dLRiYmIKOxQAAAAAABy4nQj48ccfdfHiRU/G4hP69++vnTt3atOmTYUdCgAAAAAADtxOBDRv3lwnTpzwZCwAAAAAAKCAuZ0IMMborrvu0meffaazZ896MiYAAAAAAFBA8jVGQMOGDfXiiy+qQoUKeuyxx7R582ZPxQUAAAAAAApAvhIBo0aN0v79+zVlyhQdPHhQTZs2VYMGDTRp0iQlJyd7KkYAAAAAAOAhbicC/v33X0VGRiowMFCdO3fWt99+q/j4eHXu3Fnjx49XxYoV1bNnT/3000+ejBcAAAAAAOSDxRhjPL1RY4y++uorPfbYY0pJSVGdOnXUt29fPfLII7rqqqs83VyRlJKSooiICCUnJys8PLyww8mRxVLYEaCgeb6Xo6ihH/s2+jB8jc1mU2JioqKiomS1Mps1fAPHYt/nDcdjV89DPb7n/fnnn9WrVy/16tVLycnJMsbo8OHD+vDDD1W5cmU9+OCD2r59u6ebBQAAAAAALnA7ERAQEKDExERJ0tGjRzVhwgRFR0frtttu0+eff66zZ8/q1ltv1bRp05SQkKDdu3dr5cqVCgwMVJMmTTRnzhyPvQgAAAAAAOCaQHcrGmO0YsUKLVq0SF9//bXS0tJkjFFUVJQeeeQR9enTR3Xq1MlS55ZbbtEtt9yiu+++Wy+++KLuv//+fL8AAAAAAADgOrcTAZL0yCOPyBgjq9Wqtm3bqk+fPrr77rsVGJjzZq+//nrt27cvP00DAAAAAAA35CsRUKVKFfXq1Uu9e/dWlSpVXKqzYsUKDR8+XGXLls1P0wAAAAAAwA35SgRs3LhRUVFReapz9uxZ3XTTTbr66qvz0zQAAAAAAHCD24mAKVOmKCIiIs/17rnnHt1zzz3uNgsAAAAAAPLB7VkDevTood27d2vbtm3asWOHw/pvvvlGhw8fzldwAAAAAADAs9xOBPz0009q0KCBbrjhBt12220O6999911Vq1ZNkydPzleAAAAAAADAc9xOBMycOVNBQUF6/fXXs70j4LPPPtPTTz+tfv36adWqVfkKEgAAAAAAeIbbYwSsXbtWL7/8soYNG5bt+ipVqmjs2LGyWq0aN26cWrZs6XaQAAAAAADAM9y+I+Cff/7R3XffnWu5Bx98UL///ru7zQAAAAAAAA9yOxFgs9kUFhaWa7nw8HCdPHnS3WYAAAAAAIAHuZ0IqFatmpYvX55rueXLl6tatWruNgMAAAAAADzI7UTAPffco6FDh2r+/PlOy3z11Vd6/vnn1bFjR3ebAQAAAAAAHmQxxhh3Kp44cUINGjTQgQMHVKFCBTVu3FiRkZGSpKSkJG3evFkJCQmqUqWKfv31V5UuXdqjgRd1KSkpioiIUHJyssLDwws7nBxZLIUdAQqae70c3oR+7Nvow/A1NptNiYmJioqKktXq9nUpoEjhWOz7vOF47Op5qNuzBpQuXVorV67Uvffeq+3bt+vrr7+W5f9/+jNyC/Xr19e8efP8LgkAAAAAAEBR5XYiQJKuvvpqbd26VYsWLdLy5cu1d+9eSZfGD2jTpo3uuecesrwAAAAAABQh+UoESJLValWnTp3UqVMnT8QDAAAAAAAKUIFfrj9z5oxGjx5d0M0AAAAAAAAXFHgi4PTp0xo1alRBNwMAAAAAAFyQr0cDDh06pKlTp2rr1q06ceKE0tPTHcpcuHAhP00AAAAAAAAPcjsRsHHjRrVu3VqnT59WbjMQWrx0Lo20tDT95z//0cWLFxUfH1/Y4QAAAAAAkG9uJwKef/55Xbx4UU8//bRuvPFGlSlTRkFBQQ7ljh07pvvuuy9fQRaWDz74QHv27FG1atUKOxQAAAAAADwiX3cETJw4Ub17986x3JEjR3K9Y6AoSklJ0fjx49W8eXP9888/hR0OAAAAAAAe4fZggcWKFVPz5s1zLVeuXDnZbDZ3myk0Y8eOVdeuXVW1atXCDgUAAAAAAI9xOxFw6623av/+/bmWS0tL048//uhuMw7WrVununXrymKxFNhz+wcPHtS0adP0wgsvFMj2AQAAAAAoLG4nAt5880298sorOnjwYI7ljh8/7tKdA7k5d+6chgwZottuu027d+/OU92lS5eqdevWKlOmjEqUKKGGDRvq/fffd3qnwiuvvKKBAweqdOnS+Y4bAAAAAICixO0xAr766itVqlRJNWvWVMuWLVW7dm2VLVvWYYaA06dP5zvIPXv26M4771RqaqqWLFmiNm3auFx37NixGjZsmO666y6tWLFCYWFh+vTTTzVgwAAtX75c8+fPV2Dg/70NO3bs0Pfff6+4uLh8xw0AAAAAQFHjdiJg5MiRslgsMsZo6dKl2ZbJWJ/f6QN37Nihli1baty4cSpZsqTL9dauXathw4YpOjpa8+fPt89qMHbsWJ04cUKTJ0/W2LFj9eKLL9rrPP/88xoxYoSKFy+er5gBAAAAACiK3E4ESNLgwYNzPTE/deqU3n777fw0o/bt2+vuu+/Oc72RI0dKkgYMGOAwteGQIUM0efJkjRs3ToMHD1ZISIjWrFmjvXv36pFHHslXvAAAAAAAFFX5SgQ899xzioqKyrHM4cOH9dZbb+WnGQUEBOS5TlJSktasWSNJatmypcP6unXrqnLlyjpw4ICWLFmizp076/vvv9e5c+fUsGFDe7l9+/bp9OnTatCggaRL0yYWK1bMrdcBAAAAAEBhczsRMH36dJUqVSrXcmXLltXq1avdbcZtmzdvls1mU1BQkGrVqpVtmXr16unAgQPatGmTOnfurNGjR2v06NFZyvTs2VNr1qzR1q1bc2wvNTVVqamp9r9TUlIkSTabzQumT3R7zEh4iaL/GUT+0Y99GX0YvsZms8kYw2cbPoZjsa/zhn2WqzG6nQjo1q2bS+WCgoIUGxvrbjNu27NnjyQpMjJSVmv2nbJChQpZyubHmDFjNGrUKIflSUlJOn/+fL63X7DKF3YAKGCJiYmFHQIKHP3Yl9GH4WtsNpuSk5NljHH6PQ3wPhyLfZ03HI9PnTrlUrl8PRogSefPn9fcuXP1888/6+DBg5o8ebLKly+vOXPmqGXLlipbtmx+m3BLxhX5kJAQp2VCQ0MlScnJyQ7rZsyYofHjx2d5NKB58+ZOxzsYPny4Bg8enKX9KlWqKDIyUuHh4fl5KUC+5fYID4CijT4MX2Oz2WSxWHK8YAMARY03HI9dHfQ+X4mANWvW6KGHHtKRI0fsswOcPXtW0qUr5L169dL06dPVuXPn/DRTKLp16+byXQ+SFBwcrODgYIflVquVAxwKHZ9BwLvRh+GLLBYL35MAeBVv2F+5GqPbr2T37t266667dOTIETVt2lTdunXLMjL/ggUL9OCDD+qBBx7Qr7/+6m4zbsu4Cn/u3DmnZTKSFhEREVckJgAAAAAACpvbdwSMGTNGERERWrduna677jpJ0sKFC+3rq1evrk8++UTp6ekaO3asZs2ale9g8yJjgMCkpCTZbLZsMyMJCQlZygIAAAAA4OvcviPg+++/19tvv21PAjjTr18/bdq0yd1m3NaoUSNZrValpaU5HQzwzz//lCTFxMRcydAAAAAAACg0bicCDh8+rEaNGuVarnz58jp06JC7zbgtKirKPlvBqlWrHNbv2rVLBw4cUFhYmO644w6PtRsXF6fo6GiSCwAAAACAIsntREBERIT27t2ba7kdO3aoVKlS7jaTLyNGjJAkvf/++7p48WKWdRMmTJAkPffcc/bZAzyhf//+2rlzZ6HcBQEAAAAAQG7cTgQ0a9ZMw4YNy3EwvpSUFL300ku65ZZb3G3GLikpSYcPH9bhw4dzXJZZbGysXn/9de3YsUOdOnXSli1btHv3bg0bNkyTJ0/WnXfeqeHDh+c7NgAAAAAAvIXbgwU+++yzio2NVc2aNdWnTx81atRINptNW7Zs0Y4dO7Rx40Z99tlnSkxM1AcffJDvQGNiYhzuQGjSpIn9d2NMtvVeeOEF3XDDDZowYYJatGihtLQ01alTR++++6769++vgICAfMcGAAAAAIC3sBhnZ9AueO+99zR48GCnJ+EWi0UTJ05Uv3793A7QW6WkpCgiIkLJycn2qQyLKoulsCNAQXO/l8Nb0I99G30YvsZmsykxMVFRUVFeMS834AqOxb7PG47Hrp6H5mvPO3DgQP3www+68847FRISImOMjDEKCQnRXXfdpZ9++skvkwAAAAAAABRVbj8akOHmm2/W4sWLZbPZdPToUUnSVVddRXYXAAAAAIAiyO1EQIsWLSRJZcqU0VdffSWr1aqoqCiPBeat4uLiFBcXp/T09MIOBQAAAAAAB25ftl+zZo0SEhLUtm1bT8bj9Zg+EAAAAABQlLl9R0BgYKCmT5+uxo0bezIeAAAAAABQgNy+I6BSpUoqW7ZsruVsNpv27dvnbjMAAAAAAMCD3E4EdOzYUd9++22u5ZKSklSjRg13mwEAAAAAAB7k9qMBo0ePVrt27RQQEKDevXsrODjYaVnjDRMuAgAAAADgB9xOBNxzzz2y2Wx66qmnNHToUFWrVk2RkZGyWCxZyl24cMFhGQAAAAAAKBxuJwLWrFlj//3MmTPauXOn07IkAgAAAAAAKBrcTgRI0rx581SmTJkcyxw7dkz33XdffprxKnFxcYqLi1N6enphhwIAAAAAgAOLcfMBfqvVqsOHDysqKirHckeOHFGFChVks9ncCtBbpaSkKCIiQsnJyQoPDy/scHLEDRu+j2E6fB/92LfRh+FrbDabEhMTFRUVJavV7bGrgSKFY7Hv84bjsavnoW7vedeuXauzZ8/q4MGDOZYrV66c3yUBAAAAAAAoqtx+NOC2226TdOlE/9ChQx4LCAAAAAAAFBy37wgwxqhfv376888/PRkPAAAAAAAoQG4nAkqUKKEhQ4YU+effAQAAAADA/3E7ERAdHa0TJ07kWu7MmTMaPXq0u80AAAAAAAAPcjsRMHDgQI0bNy7XcqdPn9aoUaPcbQYAAAAAAHiQ24MF3nrrrVq3bp2aNm2qp556SvXq1VNkZKQsl82bkZiYmO8gAQAAAACAZ7idCKhevbr9pL9Hjx4eC8jbxcXFKS4uTunp6YUdCgAAAAAADizGGONORavVqsqVKysgICDHcunp6Tp48KDfnRinpKQoIiJCycnJRX5Axctu4oAPcq+Xw5vQj30bfRi+xmazKTExUVFRUbJa3X5SFShSOBb7Pm84Hrt6Hur2HQGStHnzZkVFReVY5vDhw6pYsWJ+mgEAAAAAAB7idgq2ZcuWCg4OzrVcaGgojw4AAAAAAFBEuP1oAHLGowEoSujlvo9+7Nvow/A1PBoAX8Sx2Pd5w/HY1fPQAt/zpqSk6JFHHinoZgAAAAAAgAsKPBFw7tw5zZgxo6CbAQAAAAAALnB7sMAWLVq4VO7ChQvuNgEAAAAAADzM7UTAmjVrci1jsVhkjJGFB2YAAAAAACgS8jV94Pz581W6dOksy4wxSkpK0p49ezRt2jQ1b95cDzzwQL6CBAAAAAAAnpGvRECzZs0UFRXldP3zzz+v7t2769SpU/lpBgAAAAAAeIjbgwXabLYckwDSpUcDnn/+eb322mvuNuN14uLiFB0drZiYmMIOBQAAAAAABwU+a0CxYsX0+++/F3QzRUb//v21c+dObdq0qbBDAQAAAADAQYEnAr744guFhIQUdDMAAAAAAMAFbo8RMHr0aKfr0tPTdeLECW3evFkbNmxgsEAAAAAAAIoItxMBI0eOtE8PmJPrrrtOb731lrvNAAAAAAAAD8rXrAGDBw9WyZIlHZYHBAQoIiJCDRo00C233CKLxZKfZgAAAAAAgIfkKxHw3HPP5TpzAAAAAAAAKDrcHixw8eLFKl26tCdjAQAAAAAABcztOwLat2/vyTgAAAAAAMAVkKdEwMqVK3Xo0CFJUsmSJdW5c+dsyy1btkw7d+7UU089paCgoPxHCQAAAAAAPMLlREBqaqq6dOmiU6dOyRija665xmki4PDhwxoyZIimT5+u7777TuXLl/dYwAAAAAAAwH0ujxGwbNkypaSkqEqVKpo/f75+++03p2Xbtm2rxx57TNu3b3eaLAAAAAAAAFeey4mAFStWKCIiQuvWrVPHjh1ltTqvWr58eX344YeaM2eOfvnlF82aNcsjwQIAAAAAgPxxORHwyy+/qH///qpYsaLLG+/YsaO6d++umTNnuhWcN4qLi1N0dLRiYmIKOxQAAAAAABy4nAj466+/1KpVqzw38NBDD+mXX37Jcz1v1b9/f+3cuVObNm0q7FAAAAAAAHDgciIgOTlZ1apVy3MDNWrUUFJSUp7rAQAAAAAAz3M5ERAWFqaLFy/muYH09HSFhITkuR4AAAAAAPA8lxMB1apV07Zt2/LcwG+//aaqVavmuR4AAAAAAPA8lxMBLVq00KRJk/LcwAcffKCWLVvmuR4AAAAAAPA8lxMBjz32mH788UcNGzbM5Y0PHTpUP/74o5588km3ggMAAAAAAJ7lciKgTp06euaZZzRu3DjFxMRo2rRpOnDggEO5AwcOaNq0aWrcuLEmTJigoUOH6uqrr/Zo0AAAAAAAwD0WY4xxtbDNZlO3bt00e/ZsWSwWSVJoaKgiIiIkXZpZ4OzZs5IkY4x69uypTz/91F7Wn6SkpCgiIkLJyckKDw8v7HBy5If/Hr/jei+Ht6If+zb6MHyNzWZTYmKioqKiZLW6fF0KKNI4Fvs+bzgeu3oemqc9r9Vq1cyZMzVx4kRFRUXJGKMzZ87o0KFDOnTokM6cOSNjjMqVK6ePP/5Yn332mV8mAQAAAAAAKKrydEdAZqmpqfrhhx/0v//9T0eOHJHFYlG5cuV000036bbbblOxYsU8HatX4Y4AFCXekL1E/tCPfRt9GL6GOwLgizgW+z5vOB67eh4a6G4DwcHBatOmjdq0aePuJgAAAAAAwBVGChYAAAAAAD9CIgAAAAAAAD9CIgAAAAAAAD9CIgAAAAAAAD9CIsDD4uLiFB0drZiYmMIOBQAAAAAAB25PH4icMX0gihJ6ue+jH/s2+jB8DdMHwhdxLPZ93nA8dvU8lD0vAAAAAAB+xO1EwL59+5TTzQQnT55U165d9fHHH+dYDgAAAAAAXDluJwJq1KihpKQkp+uNMfrjjz/05JNP6uWXX3a3GQAAAAAA4EFuJwJyu8pfunRp/fbbb5oxY4ZmzJjhbjMAAAAAAMCDCnyMgMaNGyshIaGgmwEAAAAAAC4IdLXgtm3btHXr1izL5syZk+NIhGfOnNH8+fNVrlw5twMEAAAAAACe43IiYMGCBRo1apQsmebFGDRoUK71jDEaNWqUe9EBAAAAAACPcjkR0KBBA/Xo0UPSpZP76dOn67777lNISEi25a1Wq0qVKqXY2FjdfffdnokWAAAAAADki8W4Obef1WrV4cOHFRUV5emYfEJKSooiIiKUnJyc4+MTRUGmmzzgo5jB0/fRj30bfRi+xmazKTExUVFRUbJaC3zIKuCK4Fjs+7zheOzqeajbe94pU6YoIiLC3eoAAAAAAKAQuJ0I6NGjh4KDg3Mtd+bMGY0ePdrdZgAAAAAAgAcV+L1Yp0+fZrBAAAAAAACKCJcHC1yzZo3mz5+v3r17q0GDBurdu7dL9c6dO+d2cAAAAAAAwLNcTgTce++9OnnypDZv3qx169Zp6tSpLjdiYeQMAAAAAACKBJcTAYMHD9bMmTP1xBNP2Je98847uQ4YePLkSQ0ePNj9CAEAAAAAgMcU+PSBR44cUYUKFWSz2dwK0FsxfSCKEm+Y6gT5Qz/2bfRh+BqmD4Qv4ljs+7zheFzg0weuXr1aZcqUybVcmTJltHr1anebAQAAAAAAHuTyowGXi42Ndalcenq69u7d624zAAAAAADAgwr8Xqzk5GT16tWroJsBAAAAAAAucPuOAEk6e/asFi5cqK1bt+rEiRNKT093KMP0gQAAAAAAFB1uJwJ2796tVq1a6eDBg8ptvEGmDwQAAAAAoGhwOxEwZMgQHTp0SB07dtSNN96oMmXKKCgoyKEc0wcCAAAAAFB0uJ0I+PHHH/Xmm2/q2WefzbHckSNH9Mwzz7jbjNeJi4tTXFxcto9JAAAAAABQ2Cwmt/v6nQgPD9eWLVtUu3btHMvZbDbt379f1apVcytAb+Xq/I1FAU9u+D5vmPMU+UM/9m30Yfgam82mxMRERUVFyWot8LGrgSuCY7Hv84bjsavnoW7veRs3bqyTJ0+6VJYxAgAAAAAAKBrcTgS8+uqreuWVV3T+/PkcyyUlJalGjRruNgMAAAAAADzI7TEC9uzZowoVKqhy5cq6//77Vbt2bZUtW9bh6n9ycnK+gwQAAAAAAJ7h9hgBVqtVFotFxpgcb/3PWO9vg+cxRgCKEm94ngn5Qz/2bfRh+BrGCIAv4ljs+7zheOzqeajbdwRI0n333aeQkJAcy5w9e1ZfffVVfpoBAAAAAAAekq9EwHvvvaeoqKgcyxw+fFhz587NTzMAAAAAAMBD8jVYYFhYWK7lSpUqpSlTprjbDAAAAAAA8CC3xwhAzhgjAEUJvdz30Y99G30YvoYxAuCLOBb7Pm84Hrt6HurynrdFixY6efKkJ2IDAAAAAACFxOVEwJo1a5SWllaQsQAAAAAAgAKWp8ECBw4cmOMsAQEBASpZsqSqVKmiG2+8UTfffHO+AwQAAAAAAJ6Tp0TAvn37VKxYMafrbTabTp8+rX379unYsWOqV6+eZsyYoRtuuCHfgQIAAAAAgPzLUyJgwYIFuU4XmGHHjh0aOXKk2rRpo99//13ly5d3K0AAAAAAAOA5Lo8REBsbm+PdAJe75pprNHfuXDVs2FBxcXFuBQcAAAAAADzL5UTA6tWrVapUqTw38OSTT2r58uV5rgcAAAAAADyvwCdurV+/vv7++++CbgYAAAAAALigwBMBwcHBOnXqVEE3AwAAAAAAXFDgiYAjR46oePHiBd0MAAAAAABwgcuJgM8//1ypqal5bmDZsmWqWLFinusBAAAAAADPczkR0KtXLyUnJ+dp41u3btWECRN000035TkwAAAAAADgeYGuFjTGaP369SpdunSOZc6cOaO9e/fqhx9+0MKFC5WWlqa+fft6JFgAAAAAAJA/LicCJKlz584ulzXGyGKxaNSoUWrWrFmeAwMAAAAAAJ6Xp0SAMSbH9RaLRSVLllTVqlXVtGlT9enTRzfeeGO+AgQAAAAAAJ7jciLAYrEoISFBUVFRBRkPAAAAAAAoQC4PFpjb3QAAAAAAAKDoc/mOAJvNVpBxAAAAAACAK8DlOwIAAAAAAID3IxEAAAAAAIAfIRFwmV9//VV9+/bV9ddfrwYNGqhOnTp69NFHdeTIkcIODQAAAACAfCMRcJkZM2bot99+0/fff6+tW7dq/fr12rx5s+67777CDg0AAAAAgHwjEXCZWrVqadSoUSpbtqwkqWzZsurdu7fWrl2rkydPFm5wAAAAAADkk9clAtatW6e6devKYrEoPj7e49vv16+f2rVrl2XZqVOnFBISohIlSni8PQAAAAAAriSvSQScO3dOQ4YM0W233abdu3fnqe7SpUvVunVrlSlTRiVKlFDDhg31/vvvuzQl4vr16zVp0iSNHz9eQUFB7oYPAAAAAECR4BWJgD179qhBgwaaN2+elixZkqe6Y8eOVbt27VS8eHGtWLFCv/76q1q3bq0BAwaoY8eOunjxYrb1FixYoAoVKqh58+Z66qmn9MQTT3jipQAAAAAAUKi8IhGwY8cOtWzZUtu3b1fr1q1drrd27VoNGzZM0dHRmj9/vho1aqQ6depo7Nix6tu3rxYvXqyxY8dmW7dTp05KSEjQtm3bNG/ePLVu3VppaWmeekkAAAAAABQKr0gEtG/fXpMmTVLJkiXzVG/kyJGSpAEDBjjc1j9kyBBJ0rhx43Tu3Dmn26hTp44mTZqk1atXa+rUqXlqHwAAAACAosYrEgEBAQF5rpOUlKQ1a9ZIklq2bOmwvm7duqpcubJSUlKyPG5w9uxZh7LXXnutJGnr1q15jgMAAAAAgKLEKxIB7ti8ebNsNpuCgoJUq1atbMvUq1dPkrRp0yb7sujoaB05ciRLuX379kmSypQpU0DRAgAAAABwZQQWdgAFZc+ePZKkyMhIWa3Z5zsqVKiQpWyGF154QXFxcSpevLhSUlI0ePBglShRQj169HDaXmpqqlJTU+1/p6SkSJJsNptLsxMULp/NB+H/K/qfQeQf/diX0Yfha2w2m4wxfLbhYzgW+zpv2Ge5GqPPJgIyTsRDQkKclgkNDZUkJScn25fFxcXp008/VaNGjRQYGKjU1FRdf/312rBhg2rXru10W2PGjNGoUaMcliclJen8+fPuvowrpHxhB4AClpiYWNghoMDRj30ZfRi+xmazKTk5WcYYpxdsAO/DsdjXecPx+NSpUy6V89lEgLvat2+v9u3b57ne8OHDNXjwYPvfKSkpqlKliiIjIxUeHu7JEIE8i4qKKuwQAOQDfRi+xmazyWKx5HjnJgAUNd5wPC5evLhL5Xw2EZBx8p3TjAAZAwNGRETku73g4GAFBwc7LLdarRzgUOj4DALejT4MX2SxWPieBMCreMP+ytUYi/4rcVPGAIFJSUlOn5NISEjIUhYAAAAAAF/ns4mARo0ayWq1Ki0tzWEwwAx//vmnJCkmJuZKhgYAAAAAQKHx2URAVFSUYmNjJUmrVq1yWL9r1y4dOHBAYWFhuuOOO650eAAAAAAAFAqfTQRI0ogRIyRJ77//vi5evJhl3YQJEyRJzz33nH32AE+Ii4tTdHQ0dxkAAAAAAIokr0kEJCUl6fDhwzp8+HCOyzKLjY3V66+/rh07dqhTp07asmWLdu/erWHDhmny5Mm68847NXz4cI/G2b9/f+3cuVObNm3y6HYBAAAAAPAEizHGFHYQrqhevbr27t3rdH1OL2PJkiWaMGGCNm/erLS0NNWpU0e9evVS//79FRAQUBDhKiUlRREREUpOTi7y0wdaLIUdAQqad/Ry5Af92LfRh+FrbDabEhMTFRUV5RWjcAOu4Fjs+7zheOzqeajXJAK8DYkAFCX0ct9HP/Zt9GH4GhIB8EUci32fNxyPXT0PZc8LAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIRHgYUwfCAAAAAAoyhgssIAwWCCKEnq576Mf+zb6MHwNgwXCF3Es9n3ecDxmsEAAAAAAAOCARAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERICHxcXFKTo6WjExMYUdCgAAAAAADizGeMNsiN7H1fkbiwLmPPV99HLfRz/2bfRh+BqbzabExERFRUXJauW6FHwDx2Lf5w3HY1fPQ9nzAgAAAADgR0gEAAAAAADgR0gEAAAAAADgR0gEAAAAAADgR0gEAAAAAADgR0gEAAAAAADgR0gEAAAAAADgR0gEeFhcXJyio6MVExNT2KEAAAAAAODAYowxhR2EL0pJSVFERISSk5MVHh5e2OHkyGIp7AhQ0Ojlvo9+7Nvow/A1NptNiYmJioqKktXKdSn4Bo7Fvs8bjseunoey5wUAAAAAwI+QCAAAAAAAwI+QCAAAAAAAwI+QCAAAAAAAwI+QCAAAAAAAwI+QCAAAAAAAwI+QCAAAAAAAwI+QCAAAAAAAwI+QCPCwuLg4RUdHKyYmprBDAQAAAADAgcUYYwo7CF+UkpKiiIgIJScnKzw8vLDDyZHFUtgRoKDRy30f/di30Yfha2w2mxITExUVFSWrletS8A0ci32fNxyPXT0PZc8LAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIREAAAAAAIAfIRHgYXFxcYqOjlZMTExhhwIAAAAAgAOLMcYUdhC+KCUlRREREUpOTlZ4eHhhh5Mji6WwI0BBo5f7Pvqxb6MPw9fYbDYlJiYqKipKVivXpeAbOBb7Pm84Hrt6HsqeFwAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiAAAAAAAAP0IiwMPi4uIUHR2tmJiYwg4FAAAAAAAHFmOMKewgfFFKSooiIiKUnJys8PDwwg4nRxZLYUeAgkYv9330Y99GH4avsdlsSkxMVFRUlKxWrkvBN3As9n3ecDx29TyUPS8AAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERAAAAAAAAH6ERICHxcXFKTo6WjExMYUdCgAAAAAADizGGFPYQfiilJQURUREKDk5WeHh4YUdTo4slsKOAAWNXu776Me+jT4MX2Oz2ZSYmKioqChZrVyXgm/gWOz7vOF47Op5KHteAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8SGBhBwAAAODvLJbCjuBKs0oqX9hBXFHGFHYEAPB/uCMAAAAAAAA/QiIAAAAAAAA/QiIAAAAAAAA/QiIAAAAAAAA/QiIAAAAAAAA/QiIAAAAAAAA/QiIAAAAAAAA/QiIAAAAAAAA/QiLgMuvWrdODDz6oevXqqX79+rruuuv0zjvv6OLFi4UdGgAAAAAA+RZY2AEUNXfffbe6du2q7du3KzAwUBs2bNDtt9+uXbt26YMPPijs8AAAAAAAyBfuCLhMQECA3njjDQUGXsqR3Hjjjbrvvvv06aef6ty5c4UcHQAAAAAA+eN1iYB169apbt26slgsio+P9/j29+/fr/Dw8CzLKlasqLS0NJ05c8bj7QEAAAAAcCV5TSLg3LlzGjJkiG677Tbt3r07T3WXLl2q1q1bq0yZMipRooQaNmyo999/XzabzaFssWLFHJb99ddfqlevnq666iq34wcAAAAAoCjwikTAnj171KBBA82bN09LlizJU92xY8eqXbt2Kl68uFasWKFff/1VrVu31oABA9SxY8dcBwE8dOiQlixZoldffTU/LwEAAAAAgCLBKwYL3LFjh1q2bKlx48apZMmSLtdbu3athg0bpujoaM2fP19BQUGSLiUHTpw4ocmTJ2vs2LF68cUXs61vs9n02GOP6eGHH1aXLl088loAAAAAAChMFmOMKewgcpOenq6AgAD73xaLRZL077//qnr16k7rtWzZUt9//70++OADPfHEE1nW7dq1S/Xq1VN4eLgOHz6skJAQh/pPP/20/v33X82bN88+eKCrUlJSFBERoeTkZIcxB4qa//92wocV/V6O/KIf+zb6sO+jD/s++rHvox/7Pm/ox66eh3rFowGZkwCuSkpK0po1ayRdSghcrm7duqpcubJSUlKyfdzg5Zdf1q5duzR37tw8JwEAAAAAACiqfPYMd/PmzbLZbAoKClKtWrWyLVOvXj0dOHBAmzZtUufOne3L33zzTa1bt07ffvutffDAUaNG6a677lKjRo2y3VZqaqpSU1Ptf6ekpEi69HhBdoMSFi1ekQ9CPhT9zyDyj37sy+jD/oA+7Ovox/6AfuzrvKEfuxqjzyYC9uzZI0mKjIyU1Zp9p6xQoUKWspL03nvvacyYMRo3bpy++uor+/JVq1YpNjbWaXtjxozRqFGjHJYnJSXp/Pnzbr2GK6d8YQeAApaYmFjYIaDA0Y99GX3YH9CHfR392B/Qj32dN/TjU6dOuVTOZxMBGVfks3v2P0NoaKgkKTk52b7s6aefljHGYUyB3AwfPlyDBw+2/52cnKyqVasqODhYxYsXz9O2AE/jMwh4N/ow4P3ox4D384Z+fOHCBUlSbkMB+mwiwF3u3u4RHBys4OBg+98ZiYhq1ap5JC4gP0qXLuwIAOQHfRjwfvRjwPt5Uz8+deqUIiIinK732URAxgiJ586dc1rm7NmzkpTjG+SuihUrav/+/QoLC7PPcoDCl5KSoipVqmj//v1FfjYHANmjHwPej34MeDf6cNFljNGpU6dUsWLFHMv5bCIgY4DApKQk2Wy2bMcJSEhIyFLWk6xWqypXruzx7cIzwsPD2WkBXo5+DHg/+jHg3ejDRZMrF7p9dmjLRo0ayWq1Ki0tLctggJn9+eefkqSYmJgrGRoAAAAAAIXGZxMBUVFR9lH+V61a5bB+165dOnDggMLCwnTHHXdc6fAAAAAAACgUPpsIkKQRI0ZIkt5//31dvHgxy7oJEyZIkp577jn77AHwfcHBwRoxYkSWgR0BeBf6MeD96MeAd6MPez+LyW1egSIiKSlJ6enpkqQKFSpIkjZu3KgqVapIksqXz37ezjfeeEMvvvii7rrrLo0aNUolS5bUZ599prFjx+rOO+/UokWLFBjos0MlAAAAAACQhdckAqpXr669e/c6XZ/Ty1iyZIkmTJigzZs3Ky0tTXXq1FGvXr3Uv39/BQQEFES4AAAAAAAUSV6TCAAAAAAAAPnn02MEAAAAAACArEgEAAAAAADgR0gEwKnbb79dFovF4adnz55ZysXHx2dbzmKxaM2aNZIkm82mRYsWqVu3bqpZs6aCg4NVokQJ1a9fX88++6wOHTrk0diNMZo/f74efPBB1ahRQyVKlFBISIiqVaumdu3a6Y033tCvv/7q0TYB5J2z/UzGT2hoqOrXr69hw4bp2LFjWrNmjUv7pQxTp051KDt16tQr+hoBb3X8+HGNHDlSMTExioiIULFixVShQgU1bNhQDz/8sD766CP9+eef9vI9e/Z06G/Tpk1zub2GDRtmqVu9enX7utz2FQEBAYqMjNRdd92llStXevJtAHxK9erVs+1Dl0tMTJTValV4eLjS0tJy3c7tt9/udNs5/XBMLkQGcOLYsWMmISHB3HTTTUaSGTJkiElISDAnT57MUu7ixYsmISHBbNy40UgykszGjRtNQkKCSU1NNcYY07p1ayPJNG7c2CxatMj89ddfZsOGDWbQoEHGarWaUqVKmXXr1nkk7vj4eBMTE2OKFStmnn76afPjjz+a+Ph4s3XrVrNgwQLTvn17e5x169b1SJsA3ONsP5OQkGDi4+PN8uXLTcuWLY0kU7FiRfPnn3+ahIQE8+KLLxpJJiQkxOzZs8dhv5Th7NmzJiEhwcTGxpquXbuahIQEc/bs2Sv8KgHvs2PHDlO+fHkTFhZmRo0aZTZu3Gj27dtndu7caaZNm2bq1atnJJlrrrnGXufkyZMmISHBDBkyxH6crV27trl48WKu7S1atMhe56abbjIJCQkmMTHRvj6nfcWhQ4fM5s2bzahRo0xwcLCRZOLi4grkfQG8XWJiovnpp58cvrNfbtq0afYyq1atynY7P/74owkICDC7d+82x44dM4mJiSYhIcFUrlzZSDLvvPOOvZ9m9yPJTJky5Qq8amSHRAByFRsbaySZESNG5Fju33//te8w/v333yzrrr/+elOtWjWTkpLiUC/jC0PVqlVNWlpavmKNj4835cqVMyVLljTr1693Wi7zzg1A4ctpP5Oenm4aN25sJJmbb77ZGGPM/v37jdVqdelLxP79+01AQIBZs2ZNAUQO+KZmzZoZSWbWrFnZrk9ISDDly5fPkgjIMGLECBMWFmaCgoKMJDNt2rRc22vcuLEpU6aMkWRiY2OdlsvtO8mrr75qJJnQ0FBz/PjxXNsF/FWVKlWMJPPxxx9nu75r167278rPPvtstmXeffdd06xZM4fl1apVc+n4TCKgcPFoAK6Y+++/X2FhYQ7LH3/8cUnSvn37tGHDBre3b4zR/fffryNHjmj06NFq2rSp07KPPPKI7r77brfbAnDlWK1W9enTR5L0888/a//+/apcubLatGkjSfrkk09yrD9lyhTVqFFDsbGxBR4r4AuSk5O1bt06SVK7du2yLVO+fHk98MADTrdRpkwZ9ejRQ5L02muvKT093WnZ7777Tnv27HH6iE9etG3bVpJ09uxZ+2sA4OiOO+6QdGma9cvZbDYtX75cnTp1knSpj2Zn6dKl9u24IykpSQ8++KDb9ZE/JAJwRaxdu1avvfZatusqV65s//348eNut7Fo0SJt3LhRoaGh6tu3b67l+/Tpo2rVqmW7bsOGDbrvvvtUvnx5FStWTBUrVlTXrl21ZcsWh7KBgYFZnmc8f/68hg4dqkqVKqlkyZK6+eabtXr1aklSenq6Ro4cqapVq6p48eK64YYb9O2332bZ3uVjLtx+++3at2+fevTooYoVKyo4OFg1atTQ8OHDdebMGTfeKcD7VK1a1f77gQMHJEmPPvqopEvJgczPKWdmjNFnn31mLwsgdzabzf77wYMHnZZ7+eWXNW/ePKfrX3zxRQUFBemvv/7SjBkznJYbPXq0Bg0alO3FgrwKCgqy/37u3Ll8bw/wVRlJvlWrVunixYtZ1m3YsEHnz5/Xm2++KUnauXOn9u7dm6VMamqqfvjhB6fJQmcyvueuWbNGV111lYKDg/PxKpAfJAJwRYSFhalYsWLZrktISLD/Xr9+fbfbmD17tiTpxhtvVMmSJXMt36FDB8XHxzssnzRpkpo1a6a9e/fqyy+/1N9//62pU6fqjz/+0I033ugw8NHBgwe1ceNGSZdOOh5++GFFR0frp59+0qxZs/TPP/+oXbt22rx5swYPHqzq1avrhx9+0Ny5c5WQkKB77rknS4KhSpUqSkhIsH+5Onz4sJo3b65GjRpp7dq12rx5s+644w69+eabat68OckA+IXMA4peddVVkqS7777b/ruzuwJWrlypAwcO2K9MAshd6dKlVbFiRUlSv379dOTIkWzLlS1bVnXr1nW6nerVq+d6V8CyZcv0xx9/aODAgR6IXPrxxx/tv9erV88j2wR8UcuWLRUUFKSUlBT9/PPPWdZ99913at68uerUqaPo6GhJjncO/PDDDypRooQaNWp0xWKGZ5EIQKHLuN3ozjvvVI0aNdzezv/+9z9J+Tvwr1+/XgMHDlRkZKRWrFihFi1aqGrVqmrTpo1WrlypkiVLqm/fvtq6dau9Trly5RQZGSnp0uMNTZs2Vc+ePVWjRg3dddddevXVV5WamqpevXqpatWq9nUdOnTQ6NGjlZ6erg8//NC+vYCAAJUvX15lypSRJO3atUtPP/20Bg4cqFq1aunaa6/VBx98oE6dOmnTpk0aMWKE268X8BZz5syRJEVHR+vqq6+WJBUrVkwPP/ywJOnzzz/PdlTjTz75RHfeeacqVKhw5YIFfMArr7wi6dKX/Ro1aqh79+6aP3++Tp06laftZL4r4Msvv3RY/+qrr+qpp55S6dKl8xVvSkqKZsyYYY+7Y8eO+bq4APi68PBw3XTTTZIu3eKf2ZIlS+xX+u+8805Jjo8HLF26VG3atMl2xgF4BxIBcNkbb7yhkiVLOv255ppr8rzNs2fP6p133lFYWJjee++9fMWXccWiVKlSbm9jzJgxSk9PV48ePRQREZFlXWRkpLp37660tDT7rVLZyTgxyRATEyNJ2r59u8O6Jk2aSFK2jxxkCAkJUe/evR2WP/XUU5Kkjz76iNsf4ZOMMYqPj9djjz2m5cuXKzQ01OHKf0bfSEpK0qJFi7KsO3bsmBYuXMhjAYAbHn/8ccXFxalMmTI6d+6cZsyYoXvvvVdly5ZVixYtNGnSJKWkpOS6nZzuCli1apW2bt2qZ555Js/xZf5OUqJECUVERKh79+4qVaqUXnrpJc2aNSvP2wT8TcbJfuar/YmJidqyZYv92f+MMt9//71SU1Pt5ZYuXZrrYwFPPPGER84XUDBIBMBlTzzxhLZu3er0x9lAIjl59tlnFR8fr6lTp6pWrVr5ii+/Gcn09HStWrVK0v+doF8uY/ny5cuzXV+yZElFRUVlWRYeHu50XUay4cSJE07jqlq1qkqUKOGwvHHjxpKk06dP55hIALxJ5i/3xYsXV40aNfTll1+qS5cu+uWXX+xXLzLUr1/f3i8vTxJ8/vnnKlu2rNq3b3/F4gd8yZNPPqn9+/friy++UJcuXVSqVCmlpaVp9erV6t+/v2rVqqXFixfnup2MuwJ2796tmTNn2pePHj1a/fr1sz/ikxeZv5N8//336t27t0JDQ/Xwww9r5MiRPHcMuCDjZH/btm32R3WXLl2q2rVr27+X33LLLSpZsqTOnDljf/Rm37592rVrl33QXmdGjx7tkfMFFIzAwg4A3qNMmTKqXbu20/WBgXn7OL355pv68MMP9dlnn6lz5875DU/lypXTv//+q5MnT7pV/+jRozp79qwkOZywZ25DunTinpKSYj/Jz5BxO39mGQmKnNblNJqys1jCw8NVrFgxXbhwwT54GuDtnnjiCfuzwhaLRcWLF1f58uUVEBDgtM6jjz6qjRs3asWKFdq3b599YMFPP/1UPXv2zLEugJyFhoaqW7du6tatm9LT0/Xzzz9r1qxZmjZtmo4ePaquXbtq586dTgfflS7dFfDII4/o008/1WuvvaYHH3xQa9eu1aZNm+yP/eRV5u8ktWvX1o033qjExES99tprunjxosaMGePWdgF/cv3116tChQpKSEjQ0qVL1atXryyPBUiXHsNr2bKlFi1apO+++06tW7fW0qVL1ahRI/ujsc5ERUU5nDvUrl1bxpgCeT3IG+4IQKF4++239fLLL2vatGkemS5Ikv1KobPRw6+EnO5KKIhnqNiRwtdkfLnPuBpRqVKlXE/ku3btqtDQUNlsNk2ZMkXSpTFDdu7cme1jNQDcExAQoNtuu02TJk3S77//rtKlS+vs2bNZrvI7k3FXwK5duzRz5kyNHj1affv2tSfYPWHs2LGyWCyaMGFCtoMBA8jKYrHYp9xcunSp0tPTtXz5codb/i9/hCC/0waiaCARgCvu9ddf1/PPP69Zs2Y5PDOfHxnzGW/YsMGlkfTXrl2rqVOn6u+//5Z0aSTy0NBQSXI6QnLmcQguvxugoDiLJTk52T44WuYpGAF/Ex4eri5dukiSpkyZIpvNpk8++USxsbE53sUEwLk33nhDGzZscLq+Zs2a6tq1qyS5dNJdo0YNPfLII5KkZ555RuvWrdPQoUM9EmuG6Oho3XPPPUpLS9Mbb7zh0W0DvirjJH/FihVat26dzp07p9tvvz1LmYwBA3ft2qXdu3dr1apVeZ42EEUPiQBcUS+88IJee+01LViwQPfee2+WdUOHDtUXX3zh9rbvvvtuNWvWTGfPntXkyZNzLHvmzBl16tRJTzzxhEJCQiRdutLRsmVLSXL65SdjmsCM7OmVsH///mwTG5s3b5Z0aeyBhg0bXrF4gKIoY0DAvXv3asGCBZo9ezaDBAL58PHHH+f6LG/x4sUlKdfbgzNk3BVw9OhR9erVS5UqVcp3nJcbPny4JGnq1KkO854DcNS6dWsFBAToxIkTGjlypG6//XZ7385QpUoV+yB/L730kgIDA52OpwXvQSIAV4QxRoMGDdJ7772nb775JtvBuzZu3Gi/Ou+uOXPmqFKlSnr55Zft0wleLj09XX369NGxY8c0cuTILF9Ehg8fLqvVqmnTpjkM4JeUlKQvvvhCQUFBGjZsWL7izItz587Zb3fOLC4uTpL02GOP2ZMZgL+67bbb7NMK9u3bV4GBgfa7BAC45/PPP1dycnK2606fPq0FCxbIYrGoU6dOLm2vRo0aGjVqlO65554CO442adJEzZs3V1paGuMEAC4oXbq0brzxRkmXZgZwdqU/Y/ncuXPtyQN4NxIBcOr48eM6fPiwLly4IOnSQf/w4cMOXwrS09N1+PBhJSUl2ZclJSVlqduvXz+99957Cg0N1fPPP6/GjRs7/Pzyyy/5jrlSpUpat26doqOjFRsbq2eeeUZr167V3r17tW3bNn3xxRdq2rSpZs+erRdffNHhi8hNN92kiRMn6tixY2rdurVWrVqlffv2acWKFWrVqpVOnz6tjz/+WA0aNMjyWjNee8Z7kfEeubsus5iYGH3++eeaOHGi/vnnH+3YsUP9+vXTggUL1LhxY40ePTrf7xtQWJztZw4fPpznbWWMB3DixAk99NBDDlc0ALjOYrEoPj5eTZs21ZQpU7Rz504dOHBAW7Zs0ccff6zGjRsrPj5eI0eOtN+VltF/T58+bT+uXd6Xhw8froULF2YZXDBzPUm6cOGCw/cKZ/uK48ePO8SecVfAlClTtG3btiz1ADjK/Lx/bomAy8tnlvH9P2MQ7OTkZLeP6bgCDOBEbGyskeTw06NHjyzl/v3332zLSTKrV682xhgTERHhtEzmnxEjRngkdpvNZr766itz7733msqVK5tixYqZ0NBQU69ePfPEE0+YrVu35lj/f//7n+nSpYuJiooyQUFBpnz58ub+++83v/zyi0PZatWqOX2P3F1njDGrV682kkxsbKw5duyYeeKJJ0ylSpVMUFCQqVatmnn++efNqVOnPPJ+AYXF2X7GncPToUOHTEBAgJFktmzZUgDRAv7j0KFD5sMPPzQPPvigueaaa0x4eLixWq0mNDTU1KlTxzzyyCPmp59+ylJnxIgRbvVlZ/WqVatmL+NsXxEbG5vtNhs1apSl3IoVK/LzdgA+bdOmTUaSqVWrltMyqampJiwszEgyhw4dyrZMdt9t3T2mo+BZjGHYcaAoWrNmjZo3b67Y2FitWbOmsMMBAAAA4CN4NAAAAAAAAD9CIgAAAAAAAD9CIgAoYjIGWMoYAClj0KTsBkQCAAAAgLxijAAUSTNmzNDjjz/uUtlbb71VS5YsKeCIrpz4+HjVqFHDYTljBQAAAADwBBIBKJJOnTqlI0eOuFQ2JCRElSpVKuCIAAAAAMA3kAgAAAAAAMCPMEYAAAAAAAB+hEQAAAAAAAB+hEQAAAAAAAB+hEQAAAAAAAB+hEQAAAAAAAB+hEQAAABe6vbbb5fFYnH6Exoaqvr162vYsGE6duxYYYcLAACKCBIBAAB4qfnz5yshIUE33XSTJGnIkCFKSEhQQkKC4uPjtWjRIpUvX15jx47Vddddp7/++quQIwYAAEVBYGEHAAAA3FOmTBlJUrFixSRJJUuWVPny5e3rq1WrppYtW+rGG2/U5s2b1atXL/3000+FEisAACg6uCMAAAAfZrVa1adPH0nSzz//rP379xdyRAAAoLCRCAAAwMdVrVrV/nt8fHyWcQR69uyphIQE9e7dWxUrVlRAQIB9eWZLly5V+/btFRkZqeDgYFWrVk19+vTR33//7bTd48ePa9iwYapXr55CQkJUokQJXXvttXryySe1du3abOt8/fXXat26tcqUKaPixYurVq1aeuqpp3Tw4MFsy69cuVLt2rVT5cqVVaxYMVWuXFn33XefZs+erbNnz2Ype+DAAQ0cOFD16tVTaGioIiIidPPNN2vs2LH6999/HbZtjNG0adN0yy23KCIiQqGhoYqOjtbw4cN14sSJbOOZO3euYmNjVb58eRUrVkw1atRQjx499M033ygtLc3pewUAwJVEIgAAAB936NAh++/ly5dXQkKC3nnnHUnS0aNH1b59e8XGxmrdunVasWKFoqKistQfPny42rVrJ5vNpkWLFmn37t165513tHLlSjVo0EDLly93aPOvv/7SDTfcoEmTJmnQoEHasWOH1q1bp/vvv1+ffvqpbrvtNv32229Z6gwZMkT33HOPrFarFi5cqK1bt2rYsGGaPn26brjhBv3+++9Zyn/88cdq3bq1rrrqKi1cuFB//fWXPv/8cyUlJalr166aM2eOvezBgwfVsGFDLVmyROPHj9eOHTu0du1aNW/eXMOHD1evXr2ybNtms+mBBx5Qz549VaNGDS1btkybNm1Sr1699NZbbykmJsYhOfHCCy/o/vvvV+PGjbVs2TLt2rVLEydO1NatW9WhQwf9/PPPrv/TAAAoSAYAAHi12NhYI8mMGDEi2/Vt2rQxkkx0dLR92ZQpU4wkI8ksXrw4S/mXXnrJDBw40BhjzOzZs40kc+2115oLFy5kKbdz504TGBhoSpUqZQ4ePGhffvHiRXPttdcaSWbOnDkO8bzxxhtGkvn111/ty2bOnGkkmWuuucZcvHgxS/lFixYZSea6664zNpvNvrxatWomLCzMpKenZyl/6tQpU7p0aTNlyhT7shEjRhhJZu7cuQ7x9OnTx8TGxmZZNmbMGCPJ3HHHHQ7l3333XSPJ3HXXXfZl586dM8WLFzfXXHONQ/n9+/cbi8ViVq9e7bAOAIDCwB0BAAD4IGOM4uPj9dhjj2n58uUKDQ3VJ5984lCuRo0auuuuu7Ise/XVV/Xuu+9Kkl577TVJUr9+/RQUFJSl3H/+8x/dcccdOnnypN577z378kWLFun3339XhQoV1KVLF4c2e/bsqVKlSikgIMC+7PXXX5ckDRw4MMtySerQoYMqVqyobdu26ccff7QvT0pKUmpqqhITE7OUL1mypD766CM1bdo0S1lJ2rdvn0M8gwYN0qBBg+x/X7hwQePHj5ckPfPMMw7l+/btK6vVqm+//Vbx8fGSpFOnTun8+fM6duyYwyMJlStX1ieffKKrr77aYVsAABQGEgEAAPiIN954QyVLllTJkiVVvHhx1ahRQ19++aW6dOmiX375xT7NYGb16tVzur2EhAT77fhNmjTJtkzG8mXLltmXZTwq0LhxY1ksFoc6FSpU0IkTJ3Tttdfa29m+fbu9zuUsFotq1KghSVlur2/ZsqUuXLigJk2aaOLEiVkSAvfdd1+W19ayZUtJ0vPPP69+/frpl19+sa+rX7++OnXqZP/7l19+0fHjx53GExISogoVKsgYo3Xr1kmSIiMjde211+rw4cNq3LixpkyZouTkZHud3r17q1KlSg7bAgCgMJAIAADARzzxxBPaunWrtm7dqp07d+rAgQNKTk7W3LlznZ7wR0ZGOt1e5qvnl48bkKFcuXKSpL1799qXZfye07adtXPrrbfakxmZf/73v/9JUpbn8j/99FPddddd2r9/vwYOHKgKFSqoWbNmmjRpkk6dOpWljc6dO2v8+PEqXry4PvzwQzVu3FhVq1bV008/rT/++MNpPFWrVs02noSEBId4FixYoGbNmumPP/5Q7969FRkZqVatWmn69OlKTU116b0AAOBKCCzsAAAAgGeUKVNGtWvXzlOd7K7YF6Zly5apfPnyTteHh4fbf4+MjNTixYv1559/6osvvtDcuXO1fv16rV+/Xm+++aa+/fZb+10HkvTss8/q8ccf15w5czRnzhx9//33evfdd/X+++9r7NixGjJkSJa2AgICtHXr1hzjLVu2rP33WrVq6eeff9bmzZs1Y8YMffXVV1q1apVWrVqlcePGacmSJapcuXIe3xEAADyPOwIAAEC2Mk87eOTIkWzLZCyvVq2afVnG7xnP5eelnbCwMNWuXdvpT3Z3JtSrV0+vvfaadu3apfXr16tJkybav3+/nnjiCYeyYWFhevTRR7Vs2TIdPHhQzz77rNLT0zV06FDt2rUrS/zp6emKjIzMMZ7SpUs7tNG4cWO9/fbb2rdvn5YtW6Y6depo+/btev755116PwAAKGgkAgAAQLYqVKhgv6K+YcOGbMts3LhRktS2bVv7sjZt2kiSNm/eLGOMQ519+/apVatW+vrrrx3aydje5X7++Wc1aNAgy2CBPXv21IEDB7KUa9q0qebNmydJ+vXXX+3LP/nkE82aNStL2aioKI0fP14tW7aUzWazT2fYqFEj+5V+Z/HMnTtXDRo00N9//y3p0jSMPXv21Pnz5+1lLBaL2rRpo08//dQhHgAAChOJAAAA4NRLL70kSZo0aZIuXLiQZd0ff/yhpUuXKiIiQgMHDrQvv+eee1S/fn0lJCToq6++cthmXFycfvjhhywD8WW0M3HiRId2bDabRo0apSNHjmQZ8HDatGlasmSJw/bT0tIkZb3T4KefftL777+f7Wu8vHxQUJCGDh0qSXrrrbcckhnnzp3Tq6++qsDAQPujGKdPn9a0adO0du1al+IBAKAwMUYAAABe6vjx47pw4YL9xPn06dM6fPiwJDl9zj49PV1JSUn2Ee3PnTuXY537779fW7Zs0dixY9WhQweNGDFClStX1i+//KJnnnlGwcHBmj17tipWrGivExAQoHnz5qlVq1bq06ePjh8/rjZt2iglJUWzZs3S+PHjNWnSpCx1Mrdzxx136JVXXlHNmjUVHx+v8ePH66efftLy5csdpjB89tlnde7cOTVv3lxhYWH6448/9MorryggIEBjxozJUvbnn39W9+7d1a9fP1WuXFnHjh3TtGnT9OOPP6pTp05Zpht89tlntXXrVs2cOVMPPPCAhgwZovLly+vPP//U6NGjlZCQoJ9++snh/erZs6dee+01NW3aVMWKFdPWrVs1bNgwhYSEaOTIkU7/lwAAXEkWk909ewAAoMi7/fbb9cMPP2S7ztnhPT4+3j4Vn6t1JGnp0qV67733tGHDBp06dUrly5dX69atNWzYMF199dXZ1jl27JjGjRunhQsXau/evSpVqpSuvfZaPffcc/bHBy63ZMkSvffee9q4caPOnj2rypUr69Zbb9Xzzz+vunXrZin7yy+/aPbs2Vq+fLn+/vtvXbx4UZUrV9aNN96oZ599VjfccIO9bGJior766istWLBAv/32m06cOKGyZcvq6quvVt++ffXQQw8pMDDr9RFjjL788ktNnjxZW7duVVpamqpWrao2bdpo6NChWaYDNMZo7dq1mj17tlavXq34+HhZLBZVrlxZt99+u5577rk8D+QIAEBBIREAAAAAAIAfYYwAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8CIkAAAAAAAD8yP8DB+AlXQygsCAAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results = case.results.results['scenario_conservative_reduced'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6), network_scale_period = 0)" - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results = case.results.results['scenario_moderate_reduced'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='HO', fig_size=(12, 6), network_scale_period = 4)" - ] - }, - { - "cell_type": "code", - "execution_count": 165, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# plot_results.schedule(results=case.results.results['scenario_advanced_reduced'], y_axis='P', component='NGCC',\n", - "# location='HO', fig_size=(9, 5), color='steelblue', )" - ] - }, - { - "cell_type": "code", - "execution_count": 168, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=case.results.results['scenario_advanced_reduced'], y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue', )\n" - ] - }, - { - "cell_type": "code", - "execution_count": 167, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=case.results.results['scenario_advanced_reduced'], y_axis='P', component='SMR',\n", - " location='HO', fig_size=(9, 5), color='steelblue', )\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='PEM',\n", - " location='HO', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'ASMR', 0): 0.0,\n", - " ('HO', 'ASMR', 1): 0.0,\n", - " ('HO', 'ASMR', 2): 0.0,\n", - " ('HO', 'ASMR', 3): 0.0,\n", - " ('HO', 'ASMR', 4): 0.0,\n", - " ('HO', 'AqOff', 0): 0.0,\n", - " ('HO', 'AqOff', 1): 0.0,\n", - " ('HO', 'AqOff', 2): 0.0,\n", - " ('HO', 'AqOff', 3): 0.0,\n", - " ('HO', 'AqOff', 4): 0.0,\n", - " ('HO', 'H2_Comp', 0): 0.0439231179320195,\n", - " ('HO', 'H2_Comp', 1): 0.09175114414540163,\n", - " ('HO', 'H2_Comp', 2): 0.09175114414540163,\n", - " ('HO', 'H2_Comp', 3): 0.09175114414540163,\n", - " ('HO', 'H2_Comp', 4): 0.09175114414540163,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'LiI', 1): 0.0,\n", - " ('HO', 'LiI', 2): 0.0,\n", - " ('HO', 'LiI', 3): 0.0,\n", - " ('HO', 'LiI', 4): 0.0,\n", - " ('HO', 'NGCC', 0): 0.0,\n", - " ('HO', 'NGCC', 1): 0.0,\n", - " ('HO', 'NGCC', 2): 0.0,\n", - " ('HO', 'NGCC', 3): 0.0,\n", - " ('HO', 'NGCC', 4): 0.0,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PEM', 1): 0.0,\n", - " ('HO', 'PEM', 2): 0.0,\n", - " ('HO', 'PEM', 3): 0.0,\n", - " ('HO', 'PEM', 4): 0.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PSH', 1): 0.0,\n", - " ('HO', 'PSH', 2): 0.0,\n", - " ('HO', 'PSH', 3): 0.0,\n", - " ('HO', 'PSH', 4): 0.0,\n", - " ('HO', 'PV', 0): 0.31173729142556006,\n", - " ('HO', 'PV', 1): 0.4685753253756678,\n", - " ('HO', 'PV', 2): 0.4685753253756678,\n", - " ('HO', 'PV', 3): 0.4685753253756678,\n", - " ('HO', 'PV', 4): 0.4685753253756678,\n", - " ('HO', 'SMR', 0): 0.0439231179320195,\n", - " ('HO', 'SMR', 1): 0.09175114414540163,\n", - " ('HO', 'SMR', 2): 0.09175114414540163,\n", - " ('HO', 'SMR', 3): 0.09175114414540163,\n", - " ('HO', 'SMR', 4): 0.09175114414540163,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'SMRH', 1): 0.0,\n", - " ('HO', 'SMRH', 2): 0.0,\n", - " ('HO', 'SMRH', 3): 0.0,\n", - " ('HO', 'SMRH', 4): 0.0,\n", - " ('HO', 'WF', 0): 0.0597248322933659,\n", - " ('HO', 'WF', 1): 0.06914462333018397,\n", - " ('HO', 'WF', 2): 0.06914462333018397,\n", - " ('HO', 'WF', 3): 0.06914462333018397,\n", - " ('HO', 'WF', 4): 0.0956929254528}" - ] - }, - "execution_count": 121, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('CO2_AQoff', 0): 0.0,\n", - " ('CO2_AQoff', 1): 0.0,\n", - " ('CO2_AQoff', 2): 0.0,\n", - " ('CO2_AQoff', 3): 0.0,\n", - " ('CO2_AQoff', 4): 0.0,\n", - " ('CO2_Vent', 0): 949.8849789999979,\n", - " ('CO2_Vent', 1): 949.8849790000013,\n", - " ('CO2_Vent', 2): 949.8849790000005,\n", - " ('CO2_Vent', 3): 949.8849790000008,\n", - " ('CO2_Vent', 4): 949.8849790000006,\n", - " ('H2(C)', 0): 100.00999999999972,\n", - " ('H2(C)', 1): 100.01,\n", - " ('H2(C)', 2): 100.01000000000005,\n", - " ('H2(C)', 3): 100.01000000000005,\n", - " ('H2(C)', 4): 100.01000000000006,\n", - " ('O2', 0): 0.0,\n", - " ('O2', 1): 0.0,\n", - " ('O2', 2): 0.0,\n", - " ('O2', 3): 0.0,\n", - " ('O2', 4): 0.0}" - ] - }, - "execution_count": 127, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_cost.output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.schedule(results=results_cost, y_axis='P', component='WF',\n", - " location='HO', fig_size=(9, 5), color='steelblue')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.model.bounds import CapacityBounds" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "cap_bounds = CapacityBounds(result= results_cost)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "CapacityBounds(result=results_master)" - ] - }, - "execution_count": 131, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cap_bounds" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# scenario = Scenario(name = 'test', network= houston, capacity_bounds= cap_bounds, scales = scales)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/master_multiperiod.ipynb b/examples/publication/master_multiperiod.ipynb deleted file mode 100644 index 4cc24d44..00000000 --- a/examples/publication/master_multiperiod.ipynb +++ /dev/null @@ -1,6055 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Master Energy Systems MILP Case Study" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19472\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# solar_houston_max = calculate_hourly(data = solar_houston, what = 'max', column_name= 'PV_Power')\n", - "# solar_houston_min = calculate_hourly(data = solar_houston, what = 'min', column_name= 'PV_Power')\n", - "# solar_houston_mean = calculate_hourly(data = solar_houston, what = 'mean', column_name= 'PV_Power')" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "# solar_houston = pandas.concat([solar_houston]*2)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# wind_houston_max = calculate_hourly(data = wind_houston, what = 'max', column_name= 'feedin_power_plant')\n", - "# wind_houston_min = calculate_hourly(data = wind_houston, what = 'min', column_name= 'feedin_power_plant')\n", - "# wind_houston_mean = calculate_hourly(data = wind_houston, what = 'mean', column_name= 'feedin_power_plant')" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "# wind_houston = pandas.concat([wind_houston]*2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i, stretch= True) for i in range(5)])" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "# ng_price_df = pandas.concat([ng_price_df]*2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_19984\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "# ercot = pandas.concat([ercot]*2)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Technology cost" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "NREL [Annual Technology Baseline (ATB)](https://atb.nrel.gov/) is a good source for technology cost and their expected trajectories. The annualy updated list categorizes trajectories based on the appetite for research and policy push and proposes three distinct scenarios:\n", - "\n", - "- Advanced\n", - "- Moderate\n", - "- Conservative\n", - "\n", - "The data for technologies not covered by ATB are drawn from literature. The trajectories for these technologies (mostly conventional) are set with only modest reduction rates as these have already stagnated in terms of cost, having witness generations of utility scale application; e.g. steam methane reforming (SMR). " - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "url = 'https://oedi-data-lake.s3.amazonaws.com/ATB/electricity/parquet/2022/ATBe.parquet'\n", - "raw_data = pandas.read_parquet(url)\n", - "raw_data = raw_data.astype(\n", - " dtype={\n", - " 'core_metric_key': 'string',\n", - " 'core_metric_parameter': 'string',\n", - " 'core_metric_case': 'string',\n", - " 'crpyears': 'string',\n", - " 'technology': 'string',\n", - " 'technology_alias': 'string',\n", - " 'techdetail': 'string',\n", - " 'display_name': 'string',\n", - " 'scenario': 'string',\n", - " 'units': 'string'\n", - " })\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\n", - "[ 'NaturalGas_FE', 'Commercial Battery Storage',\n", - " 'Pumped Storage Hydropower', 'Residential Battery Storage',\n", - " 'Utility-Scale Battery Storage', 'Hydropower',\n", - " 'Biopower', 'CSP',\n", - " 'CommPV', 'DistributedWind',\n", - " 'Geothermal', 'LandbasedWind',\n", - " 'OffShoreWind', 'ResPV',\n", - " 'UtilityPV', 'Utility-Scale PV-Plus-Battery',\n", - " 'Nuclear', 'Coal_FE',\n", - " 'AEO']\n", - "Length: 19, dtype: string" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "raw_data['technology'].unique()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "def atb_gttr(core_metric_parameters, core_metric_case, crpyear, technology, techdetail, scenario):\n", - " df_out = pandas.DataFrame()\n", - " for i in core_metric_parameters:\n", - " df = pandas.DataFrame(raw_data[\n", - " (raw_data.core_metric_parameter == i) &\n", - " (raw_data.core_metric_case == core_metric_case) &\n", - " (raw_data.crpyears == str(crpyear)) &\n", - " (raw_data.technology == technology) &\n", - " (raw_data.techdetail == techdetail) &\n", - " (raw_data.scenario == scenario)\n", - " ][['value']])\n", - " df = df.rename({'value': i}, axis='columns')\n", - " df = df.reset_index()\n", - " df_out = pandas.concat([df_out, df], axis='columns')\n", - " df_out = df_out.loc[:, ~df_out.columns.duplicated()].copy()\n", - " df_out = df_out.fillna(0)\n", - " df_out = df_out.drop(columns=['index'])\n", - " return df_out\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "hig_trl_adv = [(1 - i/(31*15)) for i in range(31)]\n", - "hig_trl_mod = [(1 - i/(31*10)) for i in range(31)]\n", - "hig_trl_con = [(1 - i/(31*5)) for i in range(31)]\n", - "\n", - "med_trl_adv = [(1 - i/(31*40)) for i in range(31)]\n", - "med_trl_mod = [(1 - i/(31*30)) for i in range(31)]\n", - "med_trl_con = [(1 - i/(31*20)) for i in range(31)]\n", - "\n", - "low_trl_adv = [(1 - i/(31*70)) for i in range(31)]\n", - "low_trl_mod = [(1 - i/(31*50)) for i in range(31)]\n", - "low_trl_con = [(1 - i/(31*30)) for i in range(31)]\n", - "\n", - "hig_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_adv, 'Fixed O&M': hig_trl_adv, 'Variable O&M': hig_trl_adv})\n", - "hig_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_mod, 'Fixed O&M': hig_trl_mod, 'Variable O&M': hig_trl_mod})\n", - "hig_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': hig_trl_con, 'Fixed O&M': hig_trl_con, 'Variable O&M': hig_trl_con})\n", - "med_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_adv, 'Fixed O&M': med_trl_adv, 'Variable O&M': med_trl_adv})\n", - "med_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_mod, 'Fixed O&M': med_trl_mod, 'Variable O&M': med_trl_mod})\n", - "med_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': med_trl_con, 'Fixed O&M': med_trl_con, 'Variable O&M': med_trl_con})\n", - "low_trl_adv_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_adv, 'Fixed O&M': low_trl_adv, 'Variable O&M': low_trl_adv})\n", - "low_trl_mod_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_mod, 'Fixed O&M': low_trl_mod, 'Variable O&M': low_trl_mod})\n", - "low_trl_con_df = pandas.DataFrame(\n", - " data={'CAPEX': low_trl_con, 'Fixed O&M': low_trl_con, 'Variable O&M': low_trl_con})\n", - "constant_df = pandas.DataFrame(\n", - " data={'CAPEX': [1]*31, 'Fixed O&M': [1]*31, 'Variable O&M': [1]*31})\n", - "\n", - "\n", - "param_list = ['CAPEX', 'Fixed O&M', 'Variable O&M']\n", - "advanced_dict = {\n", - " 'RPV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='ResPV', techdetail='Class5', scenario='Advanced'),\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Advanced'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Advanced'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Advanced'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Advanced'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Advanced'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_adv_df,\n", - " 'SMRH': hig_trl_adv_df,\n", - " 'AqOff': hig_trl_adv_df,\n", - " 'DAC': low_trl_adv_df,\n", - " 'PEM': low_trl_adv_df,\n", - " 'H2_Comp': med_trl_adv_df,\n", - "}\n", - "\n", - "\n", - "moderate_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Moderate'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Moderate'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Moderate'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Moderate'),\n", - " 'PSH_discharge': constant_df,\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Moderate'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_mod_df,\n", - " 'SMRH': hig_trl_mod_df,\n", - " 'AqOff': hig_trl_mod_df,\n", - " 'DAC': low_trl_mod_df,\n", - " 'PEM': low_trl_mod_df,\n", - " 'H2_Comp': med_trl_mod_df,\n", - "}\n", - "\n", - "\n", - "conservative_dict = {\n", - " 'PV': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='UtilityPV', techdetail='Class1', scenario='Conservative'),\n", - " 'WF': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='LandbasedWind', techdetail='Class1', scenario='Conservative'),\n", - " 'LiI': atb_gttr(core_metric_parameters=param_list, core_metric_case='R&D', crpyear=30, technology='Commercial Battery Storage', techdetail='8Hr Battery Storage', scenario='Conservative'),\n", - " 'LII_discharge': constant_df,\n", - " 'PSH': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Pumped Storage Hydropower', techdetail='NatlClass10', scenario='Conservative'),\n", - " 'PSH_discharge': constant_df,\n", - " # no cons, adv\n", - " 'ASMR': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='NuclearSMR', scenario='Moderate'),\n", - " 'NPP': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='Nuclear', techdetail='Nuclear', scenario='Conservative'),\n", - " 'NGCC': atb_gttr(core_metric_parameters=param_list, core_metric_case='Market', crpyear=30, technology='NaturalGas_FE', techdetail='CCCCSHFrame95%', scenario='Conservative'),\n", - " 'SMR': hig_trl_con_df,\n", - " 'SMRH': hig_trl_con_df,\n", - " 'AqOff': hig_trl_con_df,\n", - " 'DAC': low_trl_con_df,\n", - " 'PEM': low_trl_con_df,\n", - " 'H2_Comp': med_trl_con_df,\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**5\n", - "smallM = 10" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "credit = {'DAC': {0: 31.77, 1: 31.77, 2: 31.77, 3: 31.77, 4: 31.77, 5: 50.00, 6: 50.00, 7: 50.00, 8: 50.00, 9: 50.00},\n", - " 'AqOff': {0: 20.22, 1: 20.22, 2: 20.22, 3: 20.22, 4: 20.22, 5: 35.00, 6: 35.00, 7: 35.00, 8: 35.00, 9: 35.00}\n", - "}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "def model(name: str, year:int, cost_dict:dict, credit: dict = None, pathway: str = None):\n", - " \n", - " if pathway is None:\n", - " pathway = 'full'\n", - " \n", - " #*---------------- Resources---------------------------------\n", - "\n", - " Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - " Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - " Power = Resource(name='Power', basis='MW', label='Power generated')#, demand = True)\n", - "\n", - " Uranium = Resource(name='Uranium', cons_max=100,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - " H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - " H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand=True, revenue= 0.005)\n", - "\n", - " CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell=True)\n", - "\n", - " H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - " CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - " CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - " CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - " O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - " CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - " LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - " PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n", - " #*---------------- Processes---------------------------------\n", - "\n", - "\n", - " PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex= cost_dict['PEM']['CAPEX'][year]*1.55*10**6, \n", - " fopex=0, vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - " # LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " # prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - " LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex= cost_dict['LiI']['CAPEX'][year]*1000, \n", - " fopex=cost_dict['LiI']['Fixed O&M'][year]*1000, vopex=cost_dict['LiI']['Variable O&M'][year]*1000,\n", - " store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - " LiI_discharge = Process(name='LiI', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - " WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex= cost_dict['WF']['CAPEX'][year]*1000, \n", - " fopex=cost_dict['WF']['Fixed O&M'][year]*1000, vopex=cost_dict['WF']['Variable O&M'][year]*1000, land = 10800/1800,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - " PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex= cost_dict['PV']['CAPEX'][year]*1000, \n", - " fopex=cost_dict['PV']['Fixed O&M'][year]*1000, vopex=cost_dict['PV']['Variable O&M'][year]*1000, land = 10000/1800,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - " H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex= cost_dict['H2_Comp']['CAPEX'][year]*1.6 *\n", - " 10**6, fopex= 0, vopex= 0, prod_max=100, prod_min=0, label='Hydrogen Compression')\n", - "\n", - " SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex= cost_dict['SMRH']['CAPEX'][year]*252000, \n", - " fopex=cost_dict['SMRH']['Fixed O&M'][year]*945000, vopex=cost_dict['SMRH']['Variable O&M'][year]*51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - " NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95},capex= cost_dict['NGCC']['CAPEX'][year]*1000, \n", - " fopex=cost_dict['NGCC']['Fixed O&M'][year]*1000, vopex=cost_dict['NGCC']['Variable O&M'][year]*1000, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "\n", - " NG = Process(name='NG', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297},capex= 0.3*cost_dict['NGCC']['CAPEX'][year]*1000, \n", - " fopex= 0.3*cost_dict['NGCC']['Fixed O&M'][year]*1000, vopex= 0.3*cost_dict['NGCC']['Variable O&M'][year]*1000, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "\n", - " SMR = Process(name='SMR', capex= cost_dict['SMR']['CAPEX'][year]*240000, \n", - " fopex=cost_dict['SMR']['Fixed O&M'][year]*800000, vopex=cost_dict['SMR']['Variable O&M'][year]*30, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "\n", - " PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex= cost_dict['PSH']['CAPEX'][year]*1000, \n", - " fopex=cost_dict['PSH']['Fixed O&M'][year]*1000, vopex=cost_dict['PSH']['Variable O&M'][year]*1000, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - " PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - " ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1}, capex= cost_dict['ASMR']['CAPEX'][year]*1000, \n", - " fopex=cost_dict['ASMR']['Fixed O&M'][year]*1000, vopex=cost_dict['ASMR']['Variable O&M'][year]*1000, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - " AqOff = Process(name='AqOff', conversion={Power: -1.28, CO2_AQoff: 1, CO2: -1}, capex= cost_dict['AqOff']['CAPEX'][year]*552000, \n", - " fopex=0, vopex=cost_dict['AqOff']['Variable O&M'][year]*4.140, prod_max=bigM, prod_min=smallM,\n", - " label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - " \n", - " DAC = Process(name='DAC', capex= cost_dict['DAC']['CAPEX'][year]*1000, \n", - " fopex=cost_dict['DAC']['Fixed O&M'][year]*1000, vopex=cost_dict['DAC']['Variable O&M'][year]*1000, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - " \n", - " if pathway == 'full':\n", - " \n", - " process_set = {LiI, WF, ASMR, PEM, H2_Comp, NGCC, AqOff, PSH, SMR, SMRH, PV}\n", - " \n", - " if pathway == 'green':\n", - " \n", - " process_set = {LiI, WF, ASMR, PEM, H2_Comp, PSH, PV}\n", - " \n", - " if pathway == 'blue':\n", - " \n", - " process_set = {LiI, WF, H2_Comp, NGCC, AqOff, PSH, SMRH, PV}\n", - " \n", - " if pathway == 'grey':\n", - " \n", - " process_set = {LiI, H2_Comp, NG, PSH, SMR}\n", - " \n", - " #*---------------- Location---------------------------------\n", - " \n", - " if credit is not None:\n", - " houston= Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[:8760*horizon], WF: wind_houston[:8760*horizon]}, price_factor={\n", - " CH4: ng_price_df[:8760*horizon]}, scales=scales, label='Houston (conservative)', expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, \n", - " price_scale_level=2, land_cost = 10000, credit = {AqOff: credit['AqOff'][year], DAC: credit['DAC'][year]})\n", - " else:\n", - " houston= Location(name='HO', processes=process_set, capacity_factor={PV: solar_houston[:8760*horizon], WF: wind_houston[:8760*horizon]}, price_factor={\n", - " CH4: ng_price_df[:8760*horizon]}, scales=scales, label='Houston (conservative)', expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2, land_cost = 10000)\n", - "\n", - " #*---------------- Scenario---------------------------------\n", - " \n", - " scenario = Scenario(name=name, network=houston, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=1, purchase_scale_level=2, capacity_scale_level = 2, label='full_case', demand={houston: {H2_C: 0.2740}}, annualization_factor = 0.1)\n", - "\n", - " scenario_reduced, repday_reduced, info_reduced = reduce_scenario(scenario=scenario, periods=40, scale_level=1, method=Clustermethod.AHC, include = [IncludeAHC.CAPACITY, IncludeAHC.PRICE])\n", - "\n", - " \n", - " return scenario_reduced\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "span_ = 10" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "moderate_credit = CaseStudy(name = 'moderate_credit', scenarios= [model(name = f'scenario{i}', year= i, cost_dict= moderate_dict, credit = credit) for i in range(span_)])\n", - "moderate_green = CaseStudy(name = 'moderate_green', scenarios= [model(name = f'scenario{i}', year= i, cost_dict= moderate_dict, pathway = 'green') for i in range(span_)])\n", - "moderate_grey = CaseStudy(name = 'moderate_grey', scenarios= [model(name = f'scenario{i}', year= i, cost_dict= moderate_dict, pathway = 'grey') for i in range(span_)])\n", - "moderate_blue = CaseStudy(name = 'moderate_blue', scenarios= [model(name = f'scenario{i}', year= i, cost_dict= moderate_dict, pathway = 'blue') for i in range(span_)])\n", - "\n", - "advanced = CaseStudy(name = 'advanced', scenarios= [model(name = f'scenario{i}', year= i, cost_dict= advanced_dict) for i in range(span_)])\n", - "conservative = CaseStudy(name = 'conservative', scenarios= [model(name = f'scenario{i}', year= i, cost_dict= conservative_dict) for i in range(span_)])\n", - "moderate = CaseStudy(name = 'moderate', scenarios= [model(name = f'scenario{i}', year= i, cost_dict= moderate_dict) for i in range(span_)])\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "# advanced.scenarios[0].cost_df" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "# moderate_grey.scenarios[0].cost_df\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint credit process\n", - "constraint credit location\n", - "constraint credit network\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario0_reduced': ,\n", - " 'scenario1_reduced': ,\n", - " 'scenario2_reduced': ,\n", - " 'scenario3_reduced': ,\n", - " 'scenario4_reduced': ,\n", - " 'scenario5_reduced': ,\n", - " 'scenario6_reduced': ,\n", - " 'scenario7_reduced': ,\n", - " 'scenario8_reduced': ,\n", - " 'scenario9_reduced': }" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "moderate_credit.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.LAND, Constraints.CREDIT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n", - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint land process\n", - "constraint land location\n", - "constraint land network\n", - "constraint land process cost\n", - "constraint land location cost\n", - "constraint land network cost\n", - "constraint inventory balance\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario0_reduced': ,\n", - " 'scenario1_reduced': ,\n", - " 'scenario2_reduced': ,\n", - " 'scenario3_reduced': ,\n", - " 'scenario4_reduced': ,\n", - " 'scenario5_reduced': ,\n", - " 'scenario6_reduced': ,\n", - " 'scenario7_reduced': ,\n", - " 'scenario8_reduced': ,\n", - " 'scenario9_reduced': }" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "advanced.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.LAND}, objective=Objective.COST)\n", - "conservative.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.LAND}, objective=Objective.COST)\n", - "\n", - "moderate.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.LAND}, objective=Objective.COST)\n", - "moderate_green.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.LAND}, objective=Objective.COST)\n", - "moderate_blue.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.LAND}, objective=Objective.COST)\n", - "\n", - "moderate_grey.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.LAND}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "# advanced.formulations" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x56e7c4b6\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.795885e+05, 7180 iterations, 0.26 seconds (0.34 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 379588.45772 379588.458 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7180 simplex iterations) in 0.49 seconds (0.57 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 379588 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.795884577163e+05, best bound 3.795884577163e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x6029bd59\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.16s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.605576e+05, 6493 iterations, 0.23 seconds (0.33 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 360557.57445 360557.574 0.00% - 0s\n", - "\n", - "Explored 1 nodes (6493 simplex iterations) in 0.47 seconds (0.55 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 360558 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (4.6382e-06) exceeds tolerance\n", - "Best objective 3.605575744462e+05, best bound 3.605575744462e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x9d4d84f9\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.532886e+05, 6545 iterations, 0.24 seconds (0.34 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 353288.63455 353288.635 0.00% - 0s\n", - "\n", - "Explored 1 nodes (6545 simplex iterations) in 0.46 seconds (0.56 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 353289 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.532886345545e+05, best bound 3.532886345545e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x272ba9fa\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.466773e+05, 7613 iterations, 0.24 seconds (0.34 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 346677.28834 346677.288 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7613 simplex iterations) in 0.44 seconds (0.56 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 346677 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (3.5822e-06) exceeds tolerance\n", - "Best objective 3.466772883413e+05, best bound 3.466772883413e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x6dfd6610\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.399810e+05, 7863 iterations, 0.25 seconds (0.35 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 339980.97758 339980.978 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7863 simplex iterations) in 0.47 seconds (0.57 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 339981 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (5.9154e-06) exceeds tolerance\n", - "Best objective 3.399809775773e+05, best bound 3.399809775773e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x262ef754\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.332243e+05, 7413 iterations, 0.22 seconds (0.33 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 333224.33637 333224.336 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7413 simplex iterations) in 0.43 seconds (0.56 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 333224 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.332243363714e+05, best bound 3.332243363714e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x5f5777db\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.266825e+05, 7781 iterations, 0.25 seconds (0.37 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 326682.53306 326682.533 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7781 simplex iterations) in 0.48 seconds (0.59 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 326683 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (2.2321e-06) exceeds tolerance\n", - "Best objective 3.266825330620e+05, best bound 3.266825330620e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x68beccbb\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.17s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.201090e+05, 7511 iterations, 0.28 seconds (0.35 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 320108.95897 320108.959 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7511 simplex iterations) in 0.53 seconds (0.58 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 320109 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.201089589662e+05, best bound 3.201089589662e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0xd5d9c977\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.22s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.134916e+05, 7452 iterations, 0.32 seconds (0.37 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 313491.59195 313491.592 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7452 simplex iterations) in 0.65 seconds (0.59 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 313492 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.134915919473e+05, best bound 3.134915919473e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45340 rows, 40496 columns and 129331 nonzeros\n", - "Model fingerprint: 0x60a9dd74\n", - "Variable types: 40483 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34325 rows and 33035 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.068283e+05, 7622 iterations, 0.28 seconds (0.40 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 306828.30837 306828.308 0.00% - 0s\n", - "\n", - "Explored 1 nodes (7622 simplex iterations) in 0.49 seconds (0.63 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 306828 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.068283083660e+05, best bound 3.068283083660e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x100fe40c\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.16s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.796270e+05, 5912 iterations, 0.20 seconds (0.17 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 379627.02205 379627.022 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5912 simplex iterations) in 0.44 seconds (0.39 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 379627 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (4.6597e-06) exceeds tolerance\n", - "Best objective 3.796270220494e+05, best bound 3.796270220494e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x04117b8c\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.17s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.598942e+05, 5562 iterations, 0.15 seconds (0.16 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 359894.18014 359894.180 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5562 simplex iterations) in 0.40 seconds (0.38 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 359894 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (6.2478e-06) exceeds tolerance\n", - "Best objective 3.598941801389e+05, best bound 3.598941801389e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x4b8b43ac\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.503841e+05, 5539 iterations, 0.14 seconds (0.16 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 350384.13473 350384.135 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5539 simplex iterations) in 0.35 seconds (0.39 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 350384 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (6.2478e-06) exceeds tolerance\n", - "Best objective 3.503841347255e+05, best bound 3.503841347255e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xdafa467e\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.415065e+05, 4767 iterations, 0.10 seconds (0.12 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 341506.46313 341506.463 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4767 simplex iterations) in 0.33 seconds (0.34 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 341506 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.415064631338e+05, best bound 3.415064631338e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xd25d3239\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.16s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.325420e+05, 4846 iterations, 0.13 seconds (0.13 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 332542.03617 332542.036 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4846 simplex iterations) in 0.36 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 332542 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.325420361699e+05, best bound 3.325420361699e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x04f83e09\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.235933e+05, 5731 iterations, 0.16 seconds (0.18 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 323593.29614 323593.296 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5731 simplex iterations) in 0.38 seconds (0.41 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 323593 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.235932961393e+05, best bound 3.235932961393e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x9929ba40\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.147524e+05, 5047 iterations, 0.12 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 314752.44300 314752.443 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5047 simplex iterations) in 0.33 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 314752 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.147524430030e+05, best bound 3.147524430030e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x1d63fd7f\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.057724e+05, 4832 iterations, 0.12 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 305772.42037 305772.420 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4832 simplex iterations) in 0.34 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 305772 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.057724203675e+05, best bound 3.057724203675e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x577309c7\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 2.966878e+05, 5117 iterations, 0.12 seconds (0.15 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 296687.75671 296687.757 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5117 simplex iterations) in 0.33 seconds (0.37 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 296688 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.966877567150e+05, best bound 2.966877567150e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x8be15f48\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 2.875320e+05, 5168 iterations, 0.12 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 287531.97969 287531.980 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5168 simplex iterations) in 0.32 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 287532 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.875319796861e+05, best bound 2.875319796861e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x100fe40c\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.796270e+05, 5912 iterations, 0.19 seconds (0.17 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 379627.02205 379627.022 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5912 simplex iterations) in 0.42 seconds (0.39 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 379627 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (4.6597e-06) exceeds tolerance\n", - "Best objective 3.796270220494e+05, best bound 3.796270220494e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xf243b36c\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.605620e+05, 5257 iterations, 0.14 seconds (0.15 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 360561.99903 360561.999 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5257 simplex iterations) in 0.35 seconds (0.37 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 360562 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.605619990254e+05, best bound 3.605619990254e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xed6055e2\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.578703e+05, 4980 iterations, 0.11 seconds (0.13 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 357870.28846 357870.288 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4980 simplex iterations) in 0.32 seconds (0.35 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 357870 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.578702884632e+05, best bound 3.578702884632e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xf919b3c4\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.558434e+05, 5451 iterations, 0.15 seconds (0.18 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 355843.41405 355843.414 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5451 simplex iterations) in 0.35 seconds (0.40 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 355843 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.558434140499e+05, best bound 3.558434140499e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x498bc22e\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.537695e+05, 5524 iterations, 0.12 seconds (0.13 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 353769.48201 353769.482 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5524 simplex iterations) in 0.32 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 353769 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.537694820078e+05, best bound 3.537694820078e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xd59fc2ac\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.13s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.517190e+05, 5941 iterations, 0.13 seconds (0.15 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 351718.99080 351718.991 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5941 simplex iterations) in 0.33 seconds (0.38 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 351719 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.517189908002e+05, best bound 3.517189908002e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xf5486792\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.498196e+05, 5587 iterations, 0.13 seconds (0.15 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 349819.56096 349819.561 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5587 simplex iterations) in 0.33 seconds (0.37 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 349820 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.498195609643e+05, best bound 3.498195609643e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x4ab1ad05\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.19s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.479106e+05, 4908 iterations, 0.15 seconds (0.12 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 347910.61635 347910.616 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4908 simplex iterations) in 0.43 seconds (0.35 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 347911 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.479106163490e+05, best bound 3.479106163490e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xe602bf96\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.460155e+05, 4749 iterations, 0.12 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 346015.52067 346015.521 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4749 simplex iterations) in 0.33 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 346016 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.460155206701e+05, best bound 3.460155206701e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x158da3ea\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.441109e+05, 5416 iterations, 0.14 seconds (0.16 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 344110.90192 344110.902 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5416 simplex iterations) in 0.34 seconds (0.38 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 344111 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.441109019201e+05, best bound 3.441109019201e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x100fe40c\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.796270e+05, 5912 iterations, 0.16 seconds (0.17 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 379627.02205 379627.022 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5912 simplex iterations) in 0.38 seconds (0.39 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 379627 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (4.6597e-06) exceeds tolerance\n", - "Best objective 3.796270220494e+05, best bound 3.796270220494e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x5cd0a88d\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.605681e+05, 5645 iterations, 0.16 seconds (0.17 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 360568.09266 360568.093 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5645 simplex iterations) in 0.39 seconds (0.39 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 360568 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Warning: max constraint violation (6.2478e-06) exceeds tolerance\n", - "Best objective 3.605680926576e+05, best bound 3.605680926576e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xeb608202\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.13s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.532982e+05, 5227 iterations, 0.13 seconds (0.15 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 353298.16623 353298.166 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5227 simplex iterations) in 0.32 seconds (0.38 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 353298 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.532981662273e+05, best bound 3.532981662273e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xa2afe055\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.15s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.466882e+05, 5364 iterations, 0.12 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 346688.18157 346688.182 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5364 simplex iterations) in 0.32 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 346688 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.466881815670e+05, best bound 3.466881815670e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xfa32d555\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.399932e+05, 4839 iterations, 0.12 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 339993.20692 339993.207 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4839 simplex iterations) in 0.33 seconds (0.37 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 339993 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.399932069168e+05, best bound 3.399932069168e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x13ead0ff\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.333090e+05, 5652 iterations, 0.13 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 333308.97911 333308.979 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5652 simplex iterations) in 0.34 seconds (0.37 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 333309 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.333089791075e+05, best bound 3.333089791075e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x40f117ef\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.16s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.267546e+05, 5226 iterations, 0.14 seconds (0.15 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 326754.64698 326754.647 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5226 simplex iterations) in 0.38 seconds (0.38 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 326755 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.267546469822e+05, best bound 3.267546469822e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x716ec615\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.201821e+05, 5362 iterations, 0.12 seconds (0.14 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 320182.09788 320182.098 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5362 simplex iterations) in 0.33 seconds (0.36 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 320182 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.201820978847e+05, best bound 3.201820978847e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0xefc34a4d\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.13s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.135791e+05, 5777 iterations, 0.13 seconds (0.16 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 313579.10902 313579.109 0.00% - 0s\n", - "\n", - "Explored 1 nodes (5777 simplex iterations) in 0.34 seconds (0.38 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 313579 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.135791090248e+05, best bound 3.135791090248e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 45327 rows, 40483 columns and 129305 nonzeros\n", - "Model fingerprint: 0x446be222\n", - "Variable types: 40470 continuous, 13 integer (13 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 34312 rows and 33022 columns\n", - "Presolve time: 0.19s\n", - "Presolved: 11015 rows, 7461 columns, 36417 nonzeros\n", - "Variable types: 7454 continuous, 7 integer (7 binary)\n", - "\n", - "Root relaxation: objective 3.069197e+05, 4813 iterations, 0.13 seconds (0.13 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 306919.68778 306919.688 0.00% - 0s\n", - "\n", - "Explored 1 nodes (4813 simplex iterations) in 0.41 seconds (0.35 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 306920 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.069196877780e+05, best bound 3.069196877780e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0xd796fac5\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.571043e+08\n", - "\n", - "Root relaxation: objective 7.263597e+05, 3108 iterations, 0.05 seconds (0.05 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 726359.749 0 1 1.5710e+08 726359.749 100% - 0s\n", - "H 0 0 744196.54443 726359.749 2.40% - 0s\n", - " 0 0 cutoff 0 744196.544 744196.544 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (3182 simplex iterations) in 0.37 seconds (0.27 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 744197 1.57104e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 7.441965444261e+05, best bound 7.441965444261e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0xc39929eb\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.486035e+08\n", - "\n", - "Root relaxation: objective 6.818344e+05, 2985 iterations, 0.04 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 681834.351 0 1 1.4860e+08 681834.351 100% - 0s\n", - "H 0 0 692845.74569 681834.351 1.59% - 0s\n", - " 0 0 cutoff 0 692845.746 692845.746 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (3041 simplex iterations) in 0.29 seconds (0.27 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 692846 1.48604e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.928457456889e+05, best bound 6.928457456889e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x92c7d5f5\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.11s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.458607e+08\n", - "\n", - "Root relaxation: objective 6.672630e+05, 3071 iterations, 0.04 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 667263.024 0 1 1.4586e+08 667263.024 100% - 0s\n", - "H 0 0 676263.60677 667263.024 1.33% - 0s\n", - " 0 0 cutoff 0 676263.607 676263.607 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (3126 simplex iterations) in 0.31 seconds (0.28 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 676264 1.45861e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.762636067743e+05, best bound 6.762636067743e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x75bf5df4\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.432024e+08\n", - "\n", - "Root relaxation: objective 6.525959e+05, 2693 iterations, 0.03 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 652595.856 0 1 1.4320e+08 652595.856 100% - 0s\n", - "H 0 0 659683.66676 652595.856 1.07% - 0s\n", - " 0 0 cutoff 0 659683.667 659683.667 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (2747 simplex iterations) in 0.29 seconds (0.26 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 659684 1.43202e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.596836667644e+05, best bound 6.596836667644e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x9ebb52cd\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.406110e+08\n", - "\n", - "Root relaxation: objective 6.379291e+05, 2883 iterations, 0.04 seconds (0.05 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 637929.089 0 1 1.4061e+08 637929.089 100% - 0s\n", - "H 0 0 643104.25526 637929.089 0.80% - 0s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (2883 simplex iterations) in 0.29 seconds (0.27 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 643104 1.40611e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.431042552617e+05, best bound 6.431042552617e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x4573aa80\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.380726e+08\n", - "\n", - "Root relaxation: objective 6.232194e+05, 2866 iterations, 0.04 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 623219.365 0 1 1.3807e+08 623219.365 100% - 0s\n", - "H 0 0 626525.35051 623219.365 0.53% - 0s\n", - "\n", - "Cutting planes:\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (2866 simplex iterations) in 0.29 seconds (0.26 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 626525 1.38073e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.265253505123e+05, best bound 6.265253505123e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x63e22d18\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.370362e+08\n", - "\n", - "Root relaxation: objective 6.083534e+05, 2887 iterations, 0.04 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 608353.413 0 1 1.3704e+08 608353.413 100% - 0s\n", - "H 0 0 610239.25138 608353.413 0.31% - 0s\n", - "\n", - "Explored 1 nodes (2887 simplex iterations) in 0.27 seconds (0.25 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 610239 1.37036e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.102392513778e+05, best bound 6.102392513778e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x53fdc4f8\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.361055e+08\n", - "\n", - "Root relaxation: objective 5.931655e+05, 2800 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 593165.534 0 1 1.3611e+08 593165.534 100% - 0s\n", - "H 0 0 593925.58746 593165.534 0.13% - 0s\n", - "\n", - "Cutting planes:\n", - " Learned: 1\n", - " Flow cover: 1\n", - "\n", - "Explored 1 nodes (2800 simplex iterations) in 0.27 seconds (0.25 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 593926 1.36106e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 5.939255874574e+05, best bound 5.939255874574e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x8928df22\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.353007e+08\n", - "\n", - "Root relaxation: objective 5.772746e+05, 2879 iterations, 0.04 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 577274.61219 577274.612 0.00% - 0s\n", - "\n", - "Explored 1 nodes (2879 simplex iterations) in 0.21 seconds (0.21 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 577275 1.35301e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 5.772746121939e+05, best bound 5.772746121939e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 32795 rows, 26991 columns and 84082 nonzeros\n", - "Model fingerprint: 0x55cf9964\n", - "Variable types: 26982 continuous, 9 integer (9 binary)\n", - "Coefficient statistics:\n", - " Matrix range [4e-05, 8e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 25355 rows and 22220 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7440 rows, 4771 columns, 21297 nonzeros\n", - "Variable types: 4768 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.345369e+08\n", - "\n", - "Root relaxation: objective 5.602460e+05, 2703 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 560245.99689 560245.997 0.00% - 0s\n", - "\n", - "Explored 1 nodes (2703 simplex iterations) in 0.21 seconds (0.20 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 560246 1.34537e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 5.602459968875e+05, best bound 5.602459968875e+05, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0xd122e639\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.168705e+08\n", - "\n", - "Root relaxation: objective 1.942245e+07, 1728 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.9422e+07 0 1 1.1687e+08 1.9422e+07 83.4% - 0s\n", - " 0 0 1.9465e+07 0 1 1.1687e+08 1.9465e+07 83.3% - 0s\n", - "H 0 0 1.961238e+07 1.9465e+07 0.75% - 0s\n", - "\n", - "Cutting planes:\n", - " Implied bound: 1\n", - " Flow cover: 1\n", - " Relax-and-lift: 1\n", - "\n", - "Explored 1 nodes (1765 simplex iterations) in 0.30 seconds (0.30 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.96124e+07 1.1687e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.961237788449e+07, best bound 1.961237788449e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0x52c1c237\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.086964e+08\n", - "\n", - "Root relaxation: objective 1.921089e+07, 2189 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.9211e+07 0 1 1.0870e+08 1.9211e+07 82.3% - 0s\n", - "H 0 0 4.119342e+07 1.9211e+07 53.4% - 0s\n", - " 0 0 1.9245e+07 0 1 4.1193e+07 1.9245e+07 53.3% - 0s\n", - " 0 0 1.9256e+07 0 1 4.1193e+07 1.9256e+07 53.3% - 0s\n", - "H 0 0 1.935638e+07 1.9256e+07 0.52% - 0s\n", - "\n", - "Explored 1 nodes (4283 simplex iterations) in 0.42 seconds (0.45 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 3: 1.93564e+07 4.11934e+07 1.08696e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.935638352847e+07, best bound 1.935638352847e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0xbe73d816\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.049092e+08\n", - "\n", - "Root relaxation: objective 1.909476e+07, 1977 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.9095e+07 0 1 1.0491e+08 1.9095e+07 81.8% - 0s\n", - "H 0 0 1.923516e+07 1.9125e+07 0.57% - 0s\n", - " 0 0 cutoff 0 1.9235e+07 1.9235e+07 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Implied bound: 1\n", - " Relax-and-lift: 1\n", - "\n", - "Explored 1 nodes (2201 simplex iterations) in 0.26 seconds (0.26 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.92352e+07 1.04909e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.923515776411e+07, best bound 1.923515776411e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0x988ceb2e\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.024787e+08\n", - "\n", - "Root relaxation: objective 1.898358e+07, 1968 iterations, 0.03 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.8984e+07 0 1 1.0248e+08 1.8984e+07 81.5% - 0s\n", - "H 0 0 1.911394e+07 1.9013e+07 0.53% - 0s\n", - " 0 0 cutoff 0 1.9114e+07 1.9114e+07 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Implied bound: 1\n", - " Relax-and-lift: 1\n", - "\n", - "Explored 1 nodes (2168 simplex iterations) in 0.26 seconds (0.27 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.91139e+07 1.02479e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.911394052303e+07, best bound 1.911394052303e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0x0800ed65\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 1.000275e+08\n", - "\n", - "Root relaxation: objective 1.887131e+07, 1839 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.8871e+07 0 1 1.0003e+08 1.8871e+07 81.1% - 0s\n", - "H 0 0 1.899273e+07 1.8900e+07 0.49% - 0s\n", - " 0 0 cutoff 0 1.8993e+07 1.8993e+07 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Implied bound: 1\n", - " Relax-and-lift: 1\n", - "\n", - "Explored 1 nodes (2034 simplex iterations) in 0.27 seconds (0.27 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.89927e+07 1.00028e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.899272533052e+07, best bound 1.899272533052e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0xbb5b8aaa\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 9.767313e+07\n", - "\n", - "Root relaxation: objective 1.875909e+07, 2152 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.8759e+07 0 1 9.7673e+07 1.8759e+07 80.8% - 0s\n", - "H 0 0 1.887151e+07 1.8759e+07 0.60% - 0s\n", - " 0 0 cutoff 0 1.8872e+07 1.8872e+07 0.00% - 0s\n", - "\n", - "Explored 1 nodes (2159 simplex iterations) in 0.26 seconds (0.25 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.88715e+07 9.76731e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.887151210227e+07, best bound 1.887151210227e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0xb642b9ad\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.14s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 9.650730e+07\n", - "\n", - "Root relaxation: objective 1.864794e+07, 1781 iterations, 0.04 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.8648e+07 0 1 9.6507e+07 1.8648e+07 80.7% - 0s\n", - "H 0 0 1.875147e+07 1.8648e+07 0.55% - 0s\n", - " 0 0 cutoff 0 1.8751e+07 1.8751e+07 0.00% - 0s\n", - "\n", - "Explored 1 nodes (1794 simplex iterations) in 0.31 seconds (0.26 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.87515e+07 9.65073e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.875146547114e+07, best bound 1.875146547114e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0xc3438c48\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.09s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 9.543889e+07\n", - "\n", - "Root relaxation: objective 1.853666e+07, 2149 iterations, 0.04 seconds (0.04 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.8537e+07 0 1 9.5439e+07 1.8537e+07 80.6% - 0s\n", - "H 0 0 1.863131e+07 1.8537e+07 0.51% - 0s\n", - " 0 0 cutoff 0 1.8631e+07 1.8631e+07 0.00% - 0s\n", - "\n", - "Explored 1 nodes (2155 simplex iterations) in 0.26 seconds (0.26 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.86313e+07 9.54389e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.863130920914e+07, best bound 1.863130920914e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0x414998cf\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 9.453185e+07\n", - "\n", - "Root relaxation: objective 1.842541e+07, 1967 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.8425e+07 0 1 9.4532e+07 1.8425e+07 80.5% - 0s\n", - "H 0 0 1.851104e+07 1.8425e+07 0.46% - 0s\n", - " 0 0 cutoff 0 1.8511e+07 1.8511e+07 0.00% - 0s\n", - "\n", - "Explored 1 nodes (1984 simplex iterations) in 0.25 seconds (0.26 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.8511e+07 9.45319e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.851104332671e+07, best bound 1.851104332671e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35688 rows, 30845 columns and 95630 nonzeros\n", - "Model fingerprint: 0x74948e6e\n", - "Variable types: 30835 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [8e-04, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 28261 rows and 26073 columns\n", - "Presolve time: 0.10s\n", - "Presolved: 7427 rows, 4772 columns, 22235 nonzeros\n", - "Variable types: 4769 continuous, 3 integer (3 binary)\n", - "Found heuristic solution: objective 9.365791e+07\n", - "\n", - "Root relaxation: objective 1.831402e+07, 2254 iterations, 0.03 seconds (0.03 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - " 0 0 1.8314e+07 0 1 9.3658e+07 1.8314e+07 80.4% - 0s\n", - "H 0 0 1.839067e+07 1.8342e+07 0.27% - 0s\n", - " 0 0 cutoff 0 1.8391e+07 1.8391e+07 0.00% - 0s\n", - "\n", - "Cutting planes:\n", - " Implied bound: 1\n", - " Relax-and-lift: 1\n", - "\n", - "Explored 1 nodes (2278 simplex iterations) in 0.26 seconds (0.26 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 2: 1.83907e+07 9.36579e+07 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.839066783745e+07, best bound 1.839066783745e+07, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x2143b9db\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.93257e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.932565103018e+06, best bound 6.932565103018e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0xf2ca5f5c\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.9325e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.932497481979e+06, best bound 6.932497481979e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x5dfa7df4\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.49823e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.498231881682e+06, best bound 6.498231881682e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x38a27e9f\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.44553e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.445534202551e+06, best bound 6.445534202551e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0xd47fce1c\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.36652e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.366521494374e+06, best bound 6.366521494374e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x0e611430\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.07 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.30067e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.300666300720e+06, best bound 6.300666300720e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x8503a44a\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.24468e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.244679242958e+06, best bound 6.244679242958e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x228ebcdb\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.1854e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.185402806565e+06, best bound 6.185402806565e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x86d2337e\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.13599e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.135994506065e+06, best bound 6.135994506065e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 22205 rows, 19283 columns and 61595 nonzeros\n", - "Model fingerprint: 0x589443da\n", - "Variable types: 19276 continuous, 7 integer (7 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 4e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+05]\n", - "Presolve removed 22205 rows and 19283 columns\n", - "Presolve time: 0.05s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.06 seconds (0.06 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 6.0833e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 6.083296826934e+06, best bound 6.083296826934e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - }, - { - "data": { - "text/plain": [ - "Results(name='moderate_grey_results', results={'scenario0_reduced': scenario0_reduced, 'scenario1_reduced': scenario1_reduced, 'scenario2_reduced': scenario2_reduced, 'scenario3_reduced': scenario3_reduced, 'scenario4_reduced': scenario4_reduced, 'scenario5_reduced': scenario5_reduced, 'scenario6_reduced': scenario6_reduced, 'scenario7_reduced': scenario7_reduced, 'scenario8_reduced': scenario8_reduced, 'scenario9_reduced': scenario9_reduced})" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "moderate_credit.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n", - "advanced.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n", - "conservative.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n", - "moderate.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n", - "moderate_green.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n", - "moderate_blue.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n", - "moderate_grey.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "379627.02204942185" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "moderate.results.results['scenario0_reduced'].output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "379588.45771634544" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "moderate_credit.results.results['scenario0_reduced'].output['objective']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "100.00999999999995" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "advanced.results.results['scenario0_reduced'].output['S_network']['H2(C)', 0]" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'ASMR', 0): 0.0,\n", - " ('HO', 'AqOff', 0): 2.040206778565353,\n", - " ('HO', 'H2_Comp', 0): 0.0,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'NGCC', 0): 7143.5995040945045,\n", - " ('HO', 'PEM', 0): 0.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PV', 0): 0.0,\n", - " ('HO', 'SMR', 0): 2875.7505801068187,\n", - " ('HO', 'SMRH', 0): 0.0,\n", - " ('HO', 'WF', 0): 0.0}" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "advanced.results.results['scenario0_reduced'].output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# results_ = list(advanced.results.results.values())\n", - "# results_ = list(conservative.results.results.values())\n", - "results_ = list(moderate.results.results.values())\n", - "\n", - "s = advanced.results.results['scenario0_reduced'].output['S_network']['H2(C)', 0]\n", - "purchase = [sum(results_[i].output['B_network'].values())/s for i in range(span_)]\n", - "capex = [sum(results_[i].output['Capex_network'].values())/s for i in range(span_)]\n", - "vopex = [sum(results_[i].output['Vopex_network'].values())/s for i in range(span_)]\n", - "fopex = [sum(results_[i].output['Fopex_network'].values())/s for i in range(span_)]\n", - "land = [sum(results_[i].output['Land_cost_network'].values())/s for i in range(span_)]\n", - "data = [purchase, capex, vopex, fopex, land]\n", - "x_labels = [f'{i}' for i in range(span_)]\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "labels = ['Purchase', 'Capex', 'Var Opex', 'Fix Opex', 'Land']\n", - "ax.bar(x_labels, data[0], label= labels[0], zorder = 2, alpha = 0.9)\n", - "for i in range(1, len(data)):\n", - " ax.bar(x_labels, data[i], bottom=numpy.sum(data[:i], axis=0), label= labels[i], zorder = 2, alpha = 0.9)\n", - "plt.grid(zorder = 0)\n", - "plt.xlabel('Year')\n", - "plt.ylabel('$/ton')\n", - "plt.title('Levelized cost of hydrogen production (conservative)')\n", - "plt.legend()\n", - "plt.rcdefaults()\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_credit_process : credit generated for process\n", - " Size=11, Index=constraint_credit_process_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('HO', 'ASMR', 0) : 0.0 : Credit_process[HO,ASMR,0] : 0.0 : True\n", - " ('HO', 'AqOff', 0) : 0.0 : Credit_process[HO,AqOff,0] - 20.22*P_location[HO,AqOff,0] : 0.0 : True\n", - " ('HO', 'H2_Comp', 0) : 0.0 : Credit_process[HO,H2_Comp,0] : 0.0 : True\n", - " ('HO', 'LiI', 0) : 0.0 : Credit_process[HO,LiI,0] : 0.0 : True\n", - " ('HO', 'NGCC', 0) : 0.0 : Credit_process[HO,NGCC,0] : 0.0 : True\n", - " ('HO', 'PEM', 0) : 0.0 : Credit_process[HO,PEM,0] : 0.0 : True\n", - " ('HO', 'PSH', 0) : 0.0 : Credit_process[HO,PSH,0] : 0.0 : True\n", - " ('HO', 'PV', 0) : 0.0 : Credit_process[HO,PV,0] : 0.0 : True\n", - " ('HO', 'SMR', 0) : 0.0 : Credit_process[HO,SMR,0] : 0.0 : True\n", - " ('HO', 'SMRH', 0) : 0.0 : Credit_process[HO,SMRH,0] : 0.0 : True\n", - " ('HO', 'WF', 0) : 0.0 : Credit_process[HO,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "moderate_credit.formulations['scenario0_reduced'].constraint_credit_process.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'AqOff', 0): 0.0,\n", - " ('HO', 'H2_Comp', 0): 0.0,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'NGCC', 0): 0.0,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PV', 0): 24823.57083546817,\n", - " ('HO', 'SMRH', 0): 9450000.0,\n", - " ('HO', 'WF', 0): 11257.043932629365}" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "moderate_blue.results.results['scenario0_reduced'].output['Fopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('HO', 'ASMR', 0): 0.0,\n", - " ('HO', 'H2_Comp', 0): 65565.45432997227,\n", - " ('HO', 'LiI', 0): 0.0,\n", - " ('HO', 'PEM', 0): 179577.42121051918,\n", - " ('HO', 'PSH', 0): 0.0,\n", - " ('HO', 'PV', 0): 377411.964300052,\n", - " ('HO', 'WF', 0): 90438.8616338617}" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "moderate_green.results.results['scenario0_reduced'].output['Capex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], - "source": [ - "results_ = list(conservative.results.results.values())\n", - "conservative_res = [results_[i].output['objective']/s for i in range(span_)]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "results_ = list(moderate.results.results.values())\n", - "moderate_res = [results_[i].output['objective']/s for i in range(span_)]\n", - "\n", - "results_ = list(advanced.results.results.values())\n", - "advanced_res = [results_[i].output['objective']/s for i in range(span_)]\n", - "\n", - "\n", - "results_ = list(moderate_credit.results.results.values())\n", - "moderate_credit_res = [results_[i].output['objective']/s for i in range(span_)]\n", - "\n", - "\n", - "results_ = list(moderate_green.results.results.values())\n", - "moderate_green_res = [results_[i].output['objective']/s for i in range(span_)]\n", - "\n", - "\n", - "results_ = list(moderate_blue.results.results.values())\n", - "moderate_blue_res = [results_[i].output['objective']/s for i in range(span_)]\n", - "\n", - "\n", - "results_ = list(moderate_grey.results.results.values())\n", - "moderate_grey_res = [results_[i].output['objective']/s for i in range(span_)]" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(conservative_res)\n", - "plt.plot(moderate_res)\n", - "plt.plot(advanced_res)\n", - "# plt.plot(moderate_credit_res)\n", - "# plt.plot(moderate_green_res)\n", - "# plt.plot(moderate_blue_res)\n", - "# plt.plot(moderate_grey_res)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "ax.plot(conservative_res, label = 'conservative')\n", - "ax.plot(moderate_res, label = 'moderate', linestyle = '-.')\n", - "ax.plot(advanced_res, label = 'advanced', linestyle = '--')\n", - "plt.grid(zorder = 0)\n", - "plt.xlabel('Year')\n", - "plt.ylabel('$/ton')\n", - "plt.title('Levelized cost by scenario')\n", - "plt.legend()\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/parametric.ipynb b/examples/publication/parametric.ipynb deleted file mode 100644 index 22fd95c1..00000000 --- a/examples/publication/parametric.ipynb +++ /dev/null @@ -1,3511 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# mpLP reformulation of an energy systems MILP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Dustin Kenefake\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"Open\"\n", - "__version__ = \"1.0.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Problem Statement" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the following example a multi-scale energy systems mixed integer linear program (MILP) is reformulated as a mulitparametric linear program (mpLP)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods t\n", - "\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{P}^{uncertain-cap}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{P}^{uncertain-capex}$ - set of processes with uncertain capital expenditure\n", - "\n", - "$\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "\n", - "$\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "\n", - "*Binary Variables*\n", - "\n", - "\n", - "$X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$X^S_{r,t}$ - network binary for inventory of resource r $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "\n", - "\n", - "*Parametric Variables*\n", - "\n", - "\n", - "$\\alpha_{p}$ - uncertainty in production capacity of process p $\\in$ $\\mathcal{P}^{uncertain-cap}$\n", - "\n", - "$\\beta_{r}$ - uncertainty in demand for resource r $\\in$ $\\mathcal{R}^{demand}$\n", - "\n", - "$\\gamma_{r}$ - uncertainty in purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\delta_{r}$ - uncertainty in consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$\n", - "\n", - "$\\epsilon_{p}$ - uncertainty in cost of technology for process p $\\in$ $\\mathcal{P}^{uncertain-capex}$\n", - "\n", - "\n", - "\n", - "*Parameters*\n", - "\n", - "\n", - "$Cap^{P-max}_{p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# MILP Formulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## mpLP reformulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reformulated as an mpLP" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\sum_{p \\in \\mathcal{P}} Capex_p \\times \\epsilon_p \\times P_p + \\sum_{r \\in \\mathcal{R}^{cons}} C_r \\times \\gamma_r \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Inv_r \\leq Cap^{S-max}_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_r \\leq - D_r \\times \\beta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_r \\leq C^{max}_r \\times \\delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " P_p \\leq Cap^{P-max}_p \\times \\alpha_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " - S_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - Inv_{r} + \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p} \\times \\eta(p,r) + C_{r} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in A_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in B_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{demand}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\gamma_r \\in \\Gamma_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\delta_r \\in \\Delta_r \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\epsilon_p \\in E_p \\hspace{1cm} \\forall p \\in \\mathcal{P}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " S_r, C_r, Inv_r, P_p \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Example Problem" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " p \\in \\{LI_c, LI_d, WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " r \\in \\{charge, power, wind, solar\\} \n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " min \\hspace{1cm} \\left[\\begin{matrix}1302\\\\0\\\\990\\\\567\\end{matrix}\\right]^T \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}Inv_{charge}\\\\C_{wind}\\\\C_{solar}\\\\P_{LI_c}\\\\P_{LI_d}\\end{matrix}\\right] \\leq \\left[\\begin{matrix} 100\\\\100\\\\100\\\\100\\\\100\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_3\\left[\\begin{matrix}-S_{power}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] \\leq \\left[\\begin{matrix}-300 & 0 & 0\\\\0 & 100 & 0\\\\0 & 0 & 100\\end{matrix}\\right] \\left[\\begin{matrix}\\beta_{power}\\\\ \\alpha_{WF}\\\\\\alpha_{PV}\\end{matrix}\\right]\n", - "\\end{equation}\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " I_4\\left[\\begin{matrix} - Inv_{charge} \\\\ -S_{power} \\\\ C_{wind} \\\\ C_{solar} \\end{matrix}\\right] + \\left[\\begin{matrix}0.89 & -1 & 0 & 0\\\\-1 & 1 & 0.85 & 0.75\\\\0 & 0 & -1 & 0\\\\0 & 0 & 0 & -1\\end{matrix}\\right] \\left[\\begin{matrix}P_{LI_c}\\\\P_{LI_d}\\\\P_{WF}\\\\P_{PV}\\end{matrix}\\right] = 0\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\\begin{equation}\n", - " \\alpha_p \\in \\mathcal{A}_p \\hspace{1cm} \\forall p \\in \\{WF, PV\\} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\beta_r \\in \\mathcal{B}_r \\hspace{1cm} \\forall r \\in \\{Power\\} \n", - "\\end{equation}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Import modules}$" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from energiapy.components.result import Result\n", - "# import polytope as pt\n", - "from ppopt.plot import parametric_plot\n", - "from ppopt.mp_solvers.solve_mpqp import solve_mpqp, mpqp_algorithm\n", - "from ppopt.mplp_program import MPLP_Program\n", - "from ppopt.mpqp_program import MPQP_Program\n", - "import numpy\n", - "import pandas\n", - "import sympy\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.model.formulate import formulate, Constraints, Objective, ModelClass\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.utils.math_utils import min_max, normalize\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_22792\\422780675.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_22792\\422780675.py:27: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "\n", - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')\n", - "\n", - "wind_houston_ve = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)\n", - "\n", - "wind_houston_en = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'E-126/4200', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = False, obstacle_height = 0, \n", - " observation_height = 10)\n", - "\n", - "wind_houston_ge = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'GE120/2750', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = False, obstacle_height = 0, \n", - " observation_height = 10)\n", - "### Demand data\n", - "\n", - "# Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region\n", - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on function wind_power_output in module energiapy.conversion.windmill:\n", - "\n", - "wind_power_output(data: pandas.core.frame.DataFrame, roughness_length: float = 0.1, turbine_type: str = 'V100/1800', hub_height: float = 92, wind_speed_model: str = 'logarithmic', density_model: str = 'ideal_gas', temperature_model: str = 'linear_gradient', power_output_model: str = 'power_coefficient_curve', density_correction: bool = True, obstacle_height: float = 0, observation_height: float = 10)\n", - " Calculates wind power output using weather data\n", - " Relevant factors include wind speeds (m/s), temperature (K), and pressure(Pa)\n", - " \n", - " Args:\n", - " data (pandas.DataFrame): weather data input with wind_speed, air_temperature, surface_pressure\n", - " roughness_length (float, optional): Defaults to 0.1.\n", - " turbine_type (str, optional): Defaults to 'V100/1800'.\n", - " hub_height (float, optional): Defaults to 92.\n", - " wind_speed_model (str, optional): Defaults to 'logarithmic'.\n", - " density_model (str, optional): Defaults to 'ideal_gas'.\n", - " temperature_model (str, optional): Defaults to 'linear_gradient'.\n", - " power_output_model (str, optional): Defaults to power_coefficient_curve.\n", - " density_correction (bool, optional): Defaults to True.\n", - " obstacle_height (float, optional): Defaults to 0.\n", - " observation_height (float, optional): Defaults to 10.\n", - " \n", - " Returns:\n", - " output (DataFrame): a dataframe with hourly wind power outputs\n", - "\n" - ] - } - ], - "source": [ - "help(wind_power_output)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,5))\n", - "# ax.plot(x_, y_, linewidth=0.5, color=color)\n", - "ax.plot(list(range(24)), min_max(weather_houston['wind_speed'][:24]), label = 'wind speed')\n", - "ax.plot(list(range(24)), min_max(wind_houston_ve[:24]), label = 'Vestas (V100/1800)')\n", - "ax.plot(list(range(24)), min_max(wind_houston_en[:24]), label = 'Enercon (E-126/4200)')\n", - "ax.plot(list(range(24)), min_max(wind_houston_ge[:24]), label = 'GE (GE120/2750)')\n", - "\n", - "\n", - "\n", - "# ax = axis_formatter(axes=ax, xcord=x_, axis_labels='M')\n", - "plt.title(f'Wind Mill Profile (1st Jan 2016)')\n", - "# ax.xaxis.set_ticks(list(results.keys()))\n", - "# ax.xaxis.set_ticklabels(['1', '1/2', '1/3', '1/4', '1/5', '0'])\n", - "plt.ylabel(\"Normalized value\")\n", - "plt.xlabel(\"Hour (UTC)\")\n", - "plt.legend()\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "solar = normalize(solar_houston)\n", - "wind = normalize(wind_houston_ve)\n", - "demand = normalize(ercot)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Define temporal scale}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1])\n", - "horizon = 1\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare resources}$" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (min(demand['COAST']), 1))\n", - "\n", - "# H2O = Resource(name='H2O', cons_max=100, basis='tons', label='Water', varying= [VaryingResource.UNCERTAIN_AVAILABILITY], varying_bounds= (0.3, 0.95))\n", - "H2O = Resource(name='H2O', cons_max=500, basis='tons', label='Water', price = 0.01)\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen',demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=0.345, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.UNCERTAIN_PRICE])\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare processes}$" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, capex=1302, fopex=0, vopex=12, prod_max=50,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, H2O: -3.1839}, capex=1550, fopex=0,\n", - " vopex=11, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, capex=990, fopex=0, vopex=13,\n", - " prod_max=100, label='Wind mill array', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds = (0, 1))\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, capex=567, fopex=0, vopex=9,\n", - " prod_max=100, label='Solar PV', basis='MW', varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds= (0, 1))\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108}, capex=2158928, fopex=53320, vopex=4090, prod_max=100, label='NGCC + 95% CC', varying_bounds= (0.6, 1))\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$\\textbf{Declare location(s)}$\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "region = Location(name='region', processes={\n", - " LiI, WF, PV, PEM}, scales=scales, label='some region')\n", - "# WF" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "example = Scenario(name='example', demand={region: {Power:100, H2: 20}}, network=region, scales=scales, label='example scenario')\n", - "# example = Scenario(name='example', demand={region: {Power: 200}}, network=region, scales=scales, label='example scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 3\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 3\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 3\n", - "Uncertain process production (P) x 2\n", - " For a total of 11 (8 fixed, and 3 uncertain)\n" - ] - } - ], - "source": [ - "matrix = formulate(scenario=example, model_class=ModelClass.MPLP)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
rhs
MB_H2(=)0.0
MB_H2O(=)0.0
MB_LiI_Power_stored(=)0.0
MB_Power(=)0.0
MB_Solar(=)0.0
MB_Wind(=)0.0
Inv_LiI_Power_stored(<)100.0
Sf_H2(>)-20.0
S_Power(>)0.0
Af_H2O(<)500.0
Af_Solar(<)100.0
Af_Wind(<)100.0
Pf_LiI(<)50.0
Pf_LiI_discharge(<)50.0
Pf_PEM(<)100.0
P_PV(<)0.0
P_WF(<)0.0
NN_Inv_LiI_Power_stored(>)0.0
NN_Sf_H2(>)0.0
NN_S_Power(>)0.0
NN_Af_H2O(>)0.0
NN_Af_Solar(>)0.0
NN_Af_Wind(>)0.0
NN_Pf_LiI(>)0.0
NN_Pf_LiI_discharge(>)0.0
NN_Pf_PEM(>)0.0
NN_P_PV(>)0.0
NN_P_WF(>)0.0
\n", - "
" - ], - "text/plain": [ - " rhs\n", - "MB_H2(=) 0.0\n", - "MB_H2O(=) 0.0\n", - "MB_LiI_Power_stored(=) 0.0\n", - "MB_Power(=) 0.0\n", - "MB_Solar(=) 0.0\n", - "MB_Wind(=) 0.0\n", - "Inv_LiI_Power_stored(<) 100.0\n", - "Sf_H2(>) -20.0\n", - "S_Power(>) 0.0\n", - "Af_H2O(<) 500.0\n", - "Af_Solar(<) 100.0\n", - "Af_Wind(<) 100.0\n", - "Pf_LiI(<) 50.0\n", - "Pf_LiI_discharge(<) 50.0\n", - "Pf_PEM(<) 100.0\n", - "P_PV(<) 0.0\n", - "P_WF(<) 0.0\n", - "NN_Inv_LiI_Power_stored(>) 0.0\n", - "NN_Sf_H2(>) 0.0\n", - "NN_S_Power(>) 0.0\n", - "NN_Af_H2O(>) 0.0\n", - "NN_Af_Solar(>) 0.0\n", - "NN_Af_Wind(>) 0.0\n", - "NN_Pf_LiI(>) 0.0\n", - "NN_Pf_LiI_discharge(>) 0.0\n", - "NN_Pf_PEM(>) 0.0\n", - "NN_P_PV(>) 0.0\n", - "NN_P_WF(>) 0.0" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.b_df" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "# example.b_df" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Th_PowerTh_PVTh_WF
MB_H2(=)0.00.00.0
MB_H2O(=)0.00.00.0
MB_LiI_Power_stored(=)0.00.00.0
MB_Power(=)0.00.00.0
MB_Solar(=)0.00.00.0
MB_Wind(=)0.00.00.0
Inv_LiI_Power_stored(<)0.00.00.0
Sf_H2(>)0.00.00.0
S_Power(>)-100.00.00.0
Af_H2O(<)0.00.00.0
Af_Solar(<)0.00.00.0
Af_Wind(<)0.00.00.0
Pf_LiI(<)0.00.00.0
Pf_LiI_discharge(<)0.00.00.0
Pf_PEM(<)0.00.00.0
P_PV(<)0.0100.00.0
P_WF(<)0.00.0100.0
NN_Inv_LiI_Power_stored(>)0.00.00.0
NN_Sf_H2(>)0.00.00.0
NN_S_Power(>)0.00.00.0
NN_Af_H2O(>)0.00.00.0
NN_Af_Solar(>)0.00.00.0
NN_Af_Wind(>)0.00.00.0
NN_Pf_LiI(>)0.00.00.0
NN_Pf_LiI_discharge(>)0.00.00.0
NN_Pf_PEM(>)0.00.00.0
NN_P_PV(>)0.00.00.0
NN_P_WF(>)0.00.00.0
\n", - "
" - ], - "text/plain": [ - " Th_Power Th_PV Th_WF\n", - "MB_H2(=) 0.0 0.0 0.0\n", - "MB_H2O(=) 0.0 0.0 0.0\n", - "MB_LiI_Power_stored(=) 0.0 0.0 0.0\n", - "MB_Power(=) 0.0 0.0 0.0\n", - "MB_Solar(=) 0.0 0.0 0.0\n", - "MB_Wind(=) 0.0 0.0 0.0\n", - "Inv_LiI_Power_stored(<) 0.0 0.0 0.0\n", - "Sf_H2(>) 0.0 0.0 0.0\n", - "S_Power(>) -100.0 0.0 0.0\n", - "Af_H2O(<) 0.0 0.0 0.0\n", - "Af_Solar(<) 0.0 0.0 0.0\n", - "Af_Wind(<) 0.0 0.0 0.0\n", - "Pf_LiI(<) 0.0 0.0 0.0\n", - "Pf_LiI_discharge(<) 0.0 0.0 0.0\n", - "Pf_PEM(<) 0.0 0.0 0.0\n", - "P_PV(<) 0.0 100.0 0.0\n", - "P_WF(<) 0.0 0.0 100.0\n", - "NN_Inv_LiI_Power_stored(>) 0.0 0.0 0.0\n", - "NN_Sf_H2(>) 0.0 0.0 0.0\n", - "NN_S_Power(>) 0.0 0.0 0.0\n", - "NN_Af_H2O(>) 0.0 0.0 0.0\n", - "NN_Af_Solar(>) 0.0 0.0 0.0\n", - "NN_Af_Wind(>) 0.0 0.0 0.0\n", - "NN_Pf_LiI(>) 0.0 0.0 0.0\n", - "NN_Pf_LiI_discharge(>) 0.0 0.0 0.0\n", - "NN_Pf_PEM(>) 0.0 0.0 0.0\n", - "NN_P_PV(>) 0.0 0.0 0.0\n", - "NN_P_WF(>) 0.0 0.0 0.0" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.F_df" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "# example.c_df" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "# example.H_df" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "# example.CRa_df" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "# example.CRb_df" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All the matrices can be accessed in matrix" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "# matrix" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Pasting the backend here" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "# prog = MPLP_Program(matrix['A'], matrix['b'], matrix['c'], matrix['H'],\n", - "# matrix['CRa'], matrix['CRb'], matrix['F'], equality_indices=list(range(matrix['no_eq_cons'])))\n", - "# prog.solver.solvers['lp'] = 'gurobi'\n", - "# # prog.warnings()\n", - "# # prog.display_warnings()\n", - "# # prog.process_constraints()\n", - "# solution = solve_mpqp(prog, mpqp_algorithm.combinatorial)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter Username\n", - "Academic license - for non-commercial use only - expires 2024-02-14\n", - "[]\n" - ] - } - ], - "source": [ - "solution = solve(matrix = matrix, interface = 'native', name = 'results_mplp', solver = 'ppopt') \n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "lp = formulate(scenario=example, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.DEMAND}, objective = Objective.COST)#, objective=Objective.MAX_DISCHARGE, objective_resource = Power)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "# lp.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_demand : specific demand for resources\n", - " Size=1, Index=constraint_demand_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('region', 'H2', 0) : 20.0 : S[region,H2,0] : +Inf : True\n" - ] - } - ], - "source": [ - "lp.constraint_demand.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(solution.critical_regions)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Critical region with active set [0, 1, 2, 3, 4, 5, 6, 7, 11, 13, 18]\n", - "The Omega Constraint indices are [0, 1, 2, 3, 4, 5]\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[0, 1, 4, 6, 7, 9, 10], [8, 9, 14, 16, 17, 20, 21]]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ 1.77581843e-14 -1.38408849e-14 0.00000000e+00]\n", - " [ 6.18055066e-15 8.05717283e-15 0.00000000e+00]\n", - " [ 1.00000000e+02 -2.72801562e-13 0.00000000e+00]\n", - " [ 1.77729132e-13 -1.22743898e-14 0.00000000e+00]\n", - " [ 5.52154867e-13 1.00000000e+02 0.00000000e+00]\n", - " [ 1.17647059e+02 -8.82352941e+01 0.00000000e+00]\n", - " [ 1.04445561e-14 -5.07004959e-15 0.00000000e+00]\n", - " [-1.22096752e-14 -4.89163226e-15 0.00000000e+00]\n", - " [ 3.11338047e-14 1.74188569e-14 0.00000000e+00]\n", - " [ 4.83945289e-13 1.00000000e+02 0.00000000e+00]\n", - " [ 1.17647059e+02 -8.82352941e+01 0.00000000e+00]] \n", - " b = [[ 5.00000000e+01]\n", - " [ 2.00000000e+01]\n", - " [-2.27647147e-12]\n", - " [ 1.80033927e+02]\n", - " [ 1.03602842e-11]\n", - " [ 1.41706997e+01]\n", - " [ 3.02868457e-14]\n", - " [ 5.00000000e+01]\n", - " [ 5.65450947e+01]\n", - " [ 1.03320159e-11]\n", - " [ 1.41706997e+01]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[ 2.80376558e-14]\n", - " [-7.89487715e+01]\n", - " [-3.44613499e+01]\n", - " [-3.33724725e-02]\n", - " [-1.64734088e-13]\n", - " [-4.10892758e-13]\n", - " [ 7.44301856e+01]\n", - " [ 1.52948823e+03]\n", - " [ 1.36117647e+01]\n", - " [ 2.47071176e+02]\n", - " [ 2.72941176e+01]] \n", - " E = [[ 5.52154867e-15 1.00000000e+00 0.00000000e+00]\n", - " [ 8.00000000e-01 -6.00000000e-01 0.00000000e+00]\n", - " [ 6.61541202e-01 -4.96155901e-01 -5.62310021e-01]\n", - " [-5.52154867e-15 -1.00000000e+00 0.00000000e+00]\n", - " [-8.00000000e-01 6.00000000e-01 0.00000000e+00]\n", - " [-4.83945289e-15 -1.00000000e+00 0.00000000e+00]\n", - " [-8.00000000e-01 6.00000000e-01 0.00000000e+00]\n", - " [ 1.00000000e+00 0.00000000e+00 0.00000000e+00]\n", - " [ 0.00000000e+00 1.00000000e+00 0.00000000e+00]\n", - " [ 0.00000000e+00 0.00000000e+00 1.00000000e+00]\n", - " [-1.00000000e+00 -0.00000000e+00 -0.00000000e+00]\n", - " [-0.00000000e+00 -1.00000000e+00 -0.00000000e+00]\n", - " [-0.00000000e+00 -0.00000000e+00 -1.00000000e+00]] \n", - " f = [[ 1.00000000e+00]\n", - " [ 5.83639242e-01]\n", - " [-7.96832643e-02]\n", - " [ 1.03602842e-13]\n", - " [ 9.63607577e-02]\n", - " [ 1.03320159e-13]\n", - " [ 9.63607577e-02]\n", - " [ 1.00000000e+00]\n", - " [ 1.00000000e+00]\n", - " [ 1.00000000e+00]\n", - " [-3.49198053e-01]\n", - " [ 0.00000000e+00]\n", - " [ 0.00000000e+00]]" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution.critical_regions[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Solution is not 2D, the dimensionality of the solution is 3\n" - ] - } - ], - "source": [ - "from ppopt.plot import parametric_plot\n", - "parametric_plot(solution)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "# solution.evaluate_objective(numpy.array([[0.4], [0.6], [0.6]]))\n", - "from ppopt.mplp_program import MPLP_Program\n", - "theta = numpy.array([0.5,0.8,0.5]).reshape(-1,1)\n", - "sol = solution.program.solve_theta(theta)\n", - "# sol, solution.evaluate_objective(theta)\n", - "# [0,1,2,3,4,5,7,12,14,21]" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 50. , 20. , 50. , 180.03392706,\n", - " 80. , 2.40599378, 0. , 50. ,\n", - " 56.54509471, 80. , 2.40599378])" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sol.sol" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[1375.07430025]])" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sol.obj" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[1375.07430025]])" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution.evaluate_objective(numpy.array([0.5,0.8,0.5]).reshape(-1,1))" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dictionary saved to solution.pickle\n" - ] - } - ], - "source": [ - "import pickle\n", - "\n", - "# Create a sample dictionary\n", - "my_dict = solution\n", - "\n", - "# Specify the file name for the pickle file\n", - "file_name = \"solution.pickle\"\n", - "\n", - "# Open the file in binary write mode\n", - "with open(file_name, 'wb') as file:\n", - " # Dump the dictionary into the pickle file\n", - " pickle.dump(my_dict, file)\n", - "\n", - "print(f\"Dictionary saved to {file_name}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "11\n" - ] - } - ], - "source": [ - "sol\n", - "# ds = 20\n", - "# coordinates = []\n", - "# from itertools import product\n", - "# for i,j,k,l in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - "# m = solution.evaluate_objective(numpy.array([[i], [j], [k], [l]]))\n", - "# if m is not None:\n", - "# coordinates.append((i, j, k, l, m[0][0]))# \n", - "print(solution.program.num_x())" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "# import matplotlib.pyplot as plt\n", - "# from mpl_toolkits.mplot3d import Axes3D\n", - "# import numpy as np\n", - "\n", - "# # Sample data in 5D: (x, y, z, size, color)\n", - "# x = [coordinates[i][0] for i in range(len(coordinates))]\n", - "# y = [coordinates[i][1] for i in range(len(coordinates))]\n", - "# z = [coordinates[i][2] for i in range(len(coordinates))]\n", - "# size = [coordinates[i][4] for i in range(len(coordinates))]\n", - "# size = min_max(size)\n", - "# color = [coordinates[i][3] for i in range(len(coordinates))]\n", - "\n", - "\n", - "# fig = plt.figure()\n", - "# ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "# # Scatter plot with color mapping\n", - "# sc = ax.scatter(x, y, z, c=color, s=[i*50 for i in size], cmap='viridis', alpha=0.8)\n", - "# fig.colorbar(sc, ax=ax, label='Fifth Dimension')\n", - "\n", - "# ax.set_xlabel('X')\n", - "# ax.set_ylabel('Y')\n", - "# ax.set_zlabel('Z')\n", - "\n", - "# plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "ds = 20\n", - "coordinates = []\n", - "from itertools import product\n", - "for i,j,k in product(numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds), numpy.linspace(0, 1, ds)):\n", - " l = solution.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - " if l is not None:\n", - " coordinates.append((i, j, k, l[0][0]))\n", - " # else:\n", - " # coordinates.append((i, j, k, None))" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Unique solutions" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "from matplotlib import cm\n", - "\n", - "# Sample data: (x, y, z, color_value)\n", - "data = coordinates\n", - "fig = plt.figure(figsize= (8,6))\n", - "ax = fig.add_subplot(111, projection='3d')\n", - "\n", - "x_vals, y_vals, z_vals, color_vals = zip(*data)\n", - "\n", - "# Use color map to convert the color_value to a color\n", - "# norm = plt.Normalize(min(color_vals), max(color_vals))\n", - "# colors = cm.viridis(norm(color_vals))\n", - "colors = cm.viridis(color_vals)\n", - "\n", - "\n", - "scatter = ax.scatter(x_vals, y_vals, z_vals, c=color_vals, cmap='plasma', s=15)\n", - "\n", - "# Add a color bar to show the mapping of color values\n", - "cbar = fig.colorbar(scatter, ax=ax, pad=0.1)\n", - "cbar.set_label('Objective Value')\n", - "\n", - "# ax.set_ylim(ax.get_xlim()[::-1])\n", - "# ax.set_ylim(ax.get_ylim()[::-1])\n", - "# ax.set_ylim(ax.get_zlim()[::-1])\n", - "\n", - "# ax.zorder = \n", - "ax.set_xlim(0, 1)\n", - "ax.set_ylim(0, 1)\n", - "ax.set_zlim(0, 1)\n", - "\n", - "ax.set_xlabel('Power Demand')\n", - "ax.set_ylabel('Solar PV capacity')\n", - "ax.set_zlabel('Wind Farm capacity')\n", - "ax.view_init(elev=30, azim=110)\n", - "ax.zaxis.labelpad=-1\n", - "plt.tight_layout()\n", - "plt.show()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [], - "source": [ - "# coordinates_meet = []\n", - "# coordinates_dontmeet = []\n", - "# for i,j,k in zip(demand['COAST'], solar['PV_Power'], wind['feedin_power_plant']):\n", - "# l = solution.evaluate_objective(numpy.array([[i], [j], [k]]))\n", - "# if l is not None:\n", - "# coordinates_meet.append((i, j, k, l[0][0]))\n", - "# else:\n", - "# coordinates_meet.append((i, j, k, 0))\n", - "# objective = [i[3] for i in coordinates_meet]\n", - "# objective_null = [i[3] for i in coordinates_dontmeet]\n", - "# plt.plot(objective)\n", - "# # plt.plot(objective_null)\n", - "# plt.show()\n", - "# # plt.plot(demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "$$\\min_{x}\\left[\\begin{matrix}0\\\\0\\\\0\\\\0.01\\\\0\\\\0\\\\12.0\\\\0\\\\11.0\\\\9.0\\\\13.0\\end{matrix}\\right]^T\\left[\\begin{matrix}x_{0}\\\\x_{1}\\\\x_{2}\\\\x_{3}\\\\x_{4}\\\\x_{5}\\\\x_{6}\\\\x_{7}\\\\x_{8}\\\\x_{9}\\\\x_{10}\\end{matrix}\\right]$$\n", - "$$\\left[\\begin{matrix}0 & -1.0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & -0.01 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0.01 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0.01\\\\-1.0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & -1.0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & -1.0\\end{matrix}\\right]\\left[\\begin{matrix}x_{0}\\\\x_{1}\\\\x_{2}\\\\x_{3}\\\\x_{4}\\\\x_{5}\\\\x_{6}\\\\x_{7}\\\\x_{8}\\\\x_{9}\\\\x_{10}\\end{matrix}\\right]\\leq\\left[\\begin{matrix}-20.0\\\\0\\\\100.0\\\\100.0\\\\50.0\\\\50.0\\\\100.0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\end{matrix}\\right]+\\left[\\begin{matrix}0 & 0 & 0\\\\-1.0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 1.0 & 0\\\\0 & 0 & 1.0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\end{matrix}\\right]\\left[\\begin{matrix}\\theta_{0}\\\\\\theta_{1}\\\\\\theta_{2}\\end{matrix}\\right]$$\n", - "$$\\left[\\begin{matrix}0.5774 & 0 & 0 & 0 & 0 & 0 & 0.5774 & -0.5774 & 0 & 0 & 0\\\\0 & -0.9428 & 0 & 0 & 0 & 0 & 0 & 0 & 0.3335 & 0 & 0\\\\0 & 0 & -0.4438 & 0 & 0 & 0 & -0.4438 & 0.395 & -0.4438 & 0.3329 & 0.3772\\\\0 & 0 & 0 & 0.2996 & 0 & 0 & 0 & 0 & -0.954 & 0 & 0\\\\0 & 0 & 0 & 0 & 0.7071 & 0 & 0 & 0 & 0 & -0.7071 & 0\\\\0 & 0 & 0 & 0 & 0 & 0.7071 & 0 & 0 & 0 & 0 & -0.7071\\end{matrix}\\right]\\left[\\begin{matrix}x_{0}\\\\x_{1}\\\\x_{2}\\\\x_{3}\\\\x_{4}\\\\x_{5}\\\\x_{6}\\\\x_{7}\\\\x_{8}\\\\x_{9}\\\\x_{10}\\end{matrix}\\right]=\\left[\\begin{matrix}0\\\\0\\\\0\\\\0\\\\0\\\\0\\end{matrix}\\right]+\\left[\\begin{matrix}0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\end{matrix}\\right]\\left[\\begin{matrix}\\theta_{0}\\\\\\theta_{1}\\\\\\theta_{2}\\end{matrix}\\right]$$\n", - "$$\\left[\\begin{matrix}1.0 & 0 & 0\\\\0 & 1.0 & 0\\\\0 & 0 & 1.0\\\\-1.0 & 0 & 0\\\\0 & -1.0 & 0\\\\0 & 0 & -1.0\\end{matrix}\\right]\\left[\\begin{matrix}\\theta_{0}\\\\\\theta_{1}\\\\\\theta_{2}\\end{matrix}\\right]\\leq\\left[\\begin{matrix}1.0\\\\1.0\\\\1.0\\\\-0.3492\\\\0\\\\0\\end{matrix}\\right]$$\n" - ] - } - ], - "source": [ - "solution.program.display_latex()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "$$\\min_{x}\\left[\\begin{matrix}0\\\\0\\\\0\\\\0.01\\\\0\\\\0\\\\12.0\\\\0\\\\11.0\\\\9.0\\\\13.0\\end{matrix}\\right]^T\\left[\\begin{matrix}x_{0}\\\\x_{1}\\\\x_{2}\\\\x_{3}\\\\x_{4}\\\\x_{5}\\\\x_{6}\\\\x_{7}\\\\x_{8}\\\\x_{9}\\\\x_{10}\\end{matrix}\\right]$$\n", - "$$\\left[\\begin{matrix}0 & -1.0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & -0.01 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1.0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0.01 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0.01\\\\-1.0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & -1.0 & 0 & 0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & -1.0 & 0\\\\0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & -1.0\\end{matrix}\\right]\\left[\\begin{matrix}x_{0}\\\\x_{1}\\\\x_{2}\\\\x_{3}\\\\x_{4}\\\\x_{5}\\\\x_{6}\\\\x_{7}\\\\x_{8}\\\\x_{9}\\\\x_{10}\\end{matrix}\\right]\\leq\\left[\\begin{matrix}-20.0\\\\0\\\\100.0\\\\100.0\\\\50.0\\\\50.0\\\\100.0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\\\0\\end{matrix}\\right]+\\left[\\begin{matrix}0 & 0 & 0\\\\-1.0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 1.0 & 0\\\\0 & 0 & 1.0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\end{matrix}\\right]\\left[\\begin{matrix}\\theta_{0}\\\\\\theta_{1}\\\\\\theta_{2}\\end{matrix}\\right]$$\n", - "$$\\left[\\begin{matrix}0.5774 & 0 & 0 & 0 & 0 & 0 & 0.5774 & -0.5774 & 0 & 0 & 0\\\\0 & -0.9428 & 0 & 0 & 0 & 0 & 0 & 0 & 0.3335 & 0 & 0\\\\0 & 0 & -0.4438 & 0 & 0 & 0 & -0.4438 & 0.395 & -0.4438 & 0.3329 & 0.3772\\\\0 & 0 & 0 & 0.2996 & 0 & 0 & 0 & 0 & -0.954 & 0 & 0\\\\0 & 0 & 0 & 0 & 0.7071 & 0 & 0 & 0 & 0 & -0.7071 & 0\\\\0 & 0 & 0 & 0 & 0 & 0.7071 & 0 & 0 & 0 & 0 & -0.7071\\end{matrix}\\right]\\left[\\begin{matrix}x_{0}\\\\x_{1}\\\\x_{2}\\\\x_{3}\\\\x_{4}\\\\x_{5}\\\\x_{6}\\\\x_{7}\\\\x_{8}\\\\x_{9}\\\\x_{10}\\end{matrix}\\right]=\\left[\\begin{matrix}0\\\\0\\\\0\\\\0\\\\0\\\\0\\end{matrix}\\right]+\\left[\\begin{matrix}0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\end{matrix}\\right]\\left[\\begin{matrix}\\theta_{0}\\\\\\theta_{1}\\\\\\theta_{2}\\end{matrix}\\right]$$\n", - "$$\\left[\\begin{matrix}1.0 & 0 & 0\\\\0 & 1.0 & 0\\\\0 & 0 & 1.0\\\\-1.0 & 0 & 0\\\\0 & -1.0 & 0\\\\0 & 0 & -1.0\\end{matrix}\\right]\\left[\\begin{matrix}\\theta_{0}\\\\\\theta_{1}\\\\\\theta_{2}\\end{matrix}\\right]\\leq\\left[\\begin{matrix}1.0\\\\1.0\\\\1.0\\\\-0.3492\\\\0\\\\0\\end{matrix}\\right]$$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "solution.program" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [], - "source": [ - "solution.critical_regions[0].A[numpy.abs(solution.critical_regions[0].A) < 10**(-3)] = 0\n", - "solution.critical_regions[0].b[numpy.abs(solution.critical_regions[0].b) < 10**(-3)] = 0\n", - "solution.critical_regions[0].C[numpy.abs(solution.critical_regions[0].C) < 10**(-3)] = 0\n", - "solution.critical_regions[0].d[numpy.abs(solution.critical_regions[0].d) < 10**(-3)] = 0\n", - "solution.critical_regions[0].E[numpy.abs(solution.critical_regions[0].E) < 10**(-3)] = 0\n", - "solution.critical_regions[0].f[numpy.abs(solution.critical_regions[0].f) < 10**(-3)] = 0\n", - "\n", - "\n", - "solution.critical_regions[1].A[numpy.abs(solution.critical_regions[1].A) < 10**(-3)] = 0\n", - "solution.critical_regions[1].b[numpy.abs(solution.critical_regions[1].b) < 10**(-3)] = 0\n", - "solution.critical_regions[1].C[numpy.abs(solution.critical_regions[1].C) < 10**(-3)] = 0\n", - "solution.critical_regions[1].d[numpy.abs(solution.critical_regions[1].d) < 10**(-3)] = 0\n", - "solution.critical_regions[1].E[numpy.abs(solution.critical_regions[1].E) < 10**(-3)] = 0\n", - "solution.critical_regions[1].f[numpy.abs(solution.critical_regions[1].f) < 10**(-3)] = 0\n", - "\n", - "# solution.critical_regions[2].A[numpy.abs(solution.critical_regions[2].A) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].b[numpy.abs(solution.critical_regions[2].b) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].C[numpy.abs(solution.critical_regions[2].C) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].d[numpy.abs(solution.critical_regions[2].d) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].E[numpy.abs(solution.critical_regions[2].E) < 10**(-3)] = 0\n", - "# solution.critical_regions[2].f[numpy.abs(solution.critical_regions[2].f) < 10**(-3)] = 0" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [], - "source": [ - "# solution.critical_regions[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "cr = 0\n", - "# Create a NumPy array matrix\n", - "A = solution.critical_regions[cr].A\n", - "b = solution.critical_regions[cr].b\n", - "C = solution.critical_regions[cr].C\n", - "d = solution.critical_regions[cr].d\n", - "E = solution.critical_regions[cr].E\n", - "f = solution.critical_regions[cr].f\n", - "\n", - "\n", - "# Create symbolic variables\n", - "t1, t2, t3 = sympy.symbols('θ1 θ2 θ3')\n", - "\n", - "# Convert the NumPy array to a SymPy Matrix\n", - "# sympy_matrix = \n", - "\n", - "# Multiply the symbolic variables with the SymPy Matrix\n", - "x = sympy.Matrix(A) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(b)\n", - "l = sympy.Matrix(C) * sympy.Matrix([[t1], [t2], [t3]]) + sympy.Matrix(d)\n", - "Cr = sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]) - sympy.Matrix(f)\n", - "\n", - "Cr_eq = sympy.Eq(sympy.Matrix(E) * sympy.Matrix([[t1], [t2], [t3]]), sympy.Matrix(f))\n", - "\n", - "# print(x)\n", - "# print(l)\n", - "# # print(Cr)\n", - "# print(Cr_eq)" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}0 & 0 & 0\\\\0 & 0 & 0\\\\100.000000000002 & 0 & 0\\\\0 & 0 & 0\\\\0 & 99.9999999999995 & 0\\\\117.647058823531 & -88.235294117647 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 0 & 0\\\\0 & 99.9999999999996 & 0\\\\117.647058823531 & -88.235294117647 & 0\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([\n", - "[ 0, 0, 0],\n", - "[ 0, 0, 0],\n", - "[100.000000000002, 0, 0],\n", - "[ 0, 0, 0],\n", - "[ 0, 99.9999999999995, 0],\n", - "[117.647058823531, -88.235294117647, 0],\n", - "[ 0, 0, 0],\n", - "[ 0, 0, 0],\n", - "[ 0, 0, 0],\n", - "[ 0, 99.9999999999996, 0],\n", - "[117.647058823531, -88.235294117647, 0]])" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(A)" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1529.4117647059 θ_{1} - 247.058823529415 θ_{2} + 808.015476724886\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[1529.4117647059*θ1 - 247.058823529415*θ2 + 808.015476724886]])" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": {}, - "outputs": [ - { - "data": { - "text/latex": [ - "$\\displaystyle \\left[\\begin{matrix}1529.4117647059 θ_{1} - 247.058823529415 θ_{2} + 808.015476724886\\end{matrix}\\right]$" - ], - "text/plain": [ - "Matrix([[1529.4117647059*θ1 - 247.058823529415*θ2 + 808.015476724886]])" - ] - }, - "execution_count": 45, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sympy.Matrix(solution.program.c).T*(sympy.Matrix(A)*sympy.Matrix([[t1], [t2], [t3]])) + sympy.Matrix(solution.program.c).T*sympy.Matrix(b)" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([[ 0. , 1. , 0. ],\n", - " [ 0.8 , -0.6 , 0. ],\n", - " [ 0.6615412 , -0.4961559 , -0.56231002],\n", - " [ 0. , -1. , 0. ],\n", - " [-0.8 , 0.6 , 0. ],\n", - " [ 0. , -1. , 0. ],\n", - " [-0.8 , 0.6 , 0. ],\n", - " [ 1. , 0. , 0. ],\n", - " [ 0. , 1. , 0. ],\n", - " [ 0. , 0. , 1. ],\n", - " [-1. , 0. , 0. ],\n", - " [ 0. , -1. , 0. ],\n", - " [ 0. , 0. , -1. ]]),\n", - " array([[ 1. ],\n", - " [ 0.58363924],\n", - " [-0.07968326],\n", - " [ 0. ],\n", - " [ 0.09636076],\n", - " [ 0. ],\n", - " [ 0.09636076],\n", - " [ 1. ],\n", - " [ 1. ],\n", - " [ 1. ],\n", - " [-0.34919805],\n", - " [ 0. ],\n", - " [ 0. ]]))" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution.critical_regions[0].E, solution.critical_regions[0].f" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([[ 0. , 1. , 0. ],\n", - " [ 0.8 , -0.6 , 0. ],\n", - " [ 0.6615412 , -0.4961559 , -0.56231002],\n", - " [ 0. , -1. , 0. ],\n", - " [-0.8 , 0.6 , 0. ],\n", - " [ 0. , -1. , 0. ],\n", - " [-0.8 , 0.6 , 0. ],\n", - " [ 1. , 0. , 0. ],\n", - " [ 0. , 1. , 0. ],\n", - " [ 0. , 0. , 1. ],\n", - " [-1. , 0. , 0. ],\n", - " [ 0. , -1. , 0. ],\n", - " [ 0. , 0. , -1. ]]),\n", - " array([[ 1. ],\n", - " [ 0.58363924],\n", - " [-0.07968326],\n", - " [ 0. ],\n", - " [ 0.09636076],\n", - " [ 0. ],\n", - " [ 0.09636076],\n", - " [ 1. ],\n", - " [ 1. ],\n", - " [ 1. ],\n", - " [-0.34919805],\n", - " [ 0. ],\n", - " [ 0. ]]))" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution.critical_regions[0].E, solution.critical_regions[0].f " - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([[ 1. , 0. , 0. ],\n", - " [ 0.8, -0.6, 0. ],\n", - " [ 0. , 0. , -1. ],\n", - " [ 0. , 1. , 0. ],\n", - " [ 0. , 0. , 1. ],\n", - " [-1. , 0. , 0. ],\n", - " [ 0. , 0. , -1. ]]),\n", - " array([[ 0.62954905],\n", - " [-0.09636076],\n", - " [ 0. ],\n", - " [ 1. ],\n", - " [ 1. ],\n", - " [-0.34919805],\n", - " [ 0. ]]))" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "solution.critical_regions[1].E, solution.critical_regions[1].f " - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "# from pyomo.environ import *" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "# bi = ConcreteModel" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "# bi.theta1 = " - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [], - "source": [ - "p = solution.program\n", - "\n", - "A_eq = p.A[0:p.num_equality_constraints()]" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# from ppopt.utils.general_utils import is_full_rank\n", - "\n", - "p.check_active_set_rank([0,1,2,3,4,5,7,12,14,21])" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 1.07060922e+02],\n", - " [ 3.53700000e+01],\n", - " [ 5.00000000e+01],\n", - " [ 3.18390000e+02],\n", - " [ 6.37267394e+01],\n", - " [ 4.99900020e-03],\n", - " [-6.28770496e+01],\n", - " [ 4.41838727e+01],\n", - " [ 1.00000000e+02],\n", - " [ 6.37267394e+01],\n", - " [ 4.99900020e-03]])" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from ppopt.utils.mpqp_utils import gen_cr_from_active_set\n", - "\n", - "cr = gen_cr_from_active_set(p, [0,1,2,3,4,5,7,12,14,21], False)\n", - "cr.evaluate(theta=theta)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['Inv_LiI_Power_stored', 'Sf_H2', 'S_Power', 'Af_H2O', 'Af_Solar',\n", - " 'Af_Wind', 'Pf_LiI', 'Pf_LiI_discharge', 'Pf_PEM', 'P_PV', 'P_WF'],\n", - " dtype='object')" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.c_df.index" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [], - "source": [ - "sol = pandas.DataFrame(p.solve_theta(theta).sol)\n", - "sol.index = example.c_df.index" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[1375.07430025]])" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "p.solve_theta(theta).obj" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
0
Inv_LiI_Power_stored50.000000
Sf_H220.000000
S_Power50.000000
Af_H2O180.033927
Af_Solar80.000000
Af_Wind2.405994
Pf_LiI0.000000
Pf_LiI_discharge50.000000
Pf_PEM56.545095
P_PV80.000000
P_WF2.405994
\n", - "
" - ], - "text/plain": [ - " 0\n", - "Inv_LiI_Power_stored 50.000000\n", - "Sf_H2 20.000000\n", - "S_Power 50.000000\n", - "Af_H2O 180.033927\n", - "Af_Solar 80.000000\n", - "Af_Wind 2.405994\n", - "Pf_LiI 0.000000\n", - "Pf_LiI_discharge 50.000000\n", - "Pf_PEM 56.545095\n", - "P_PV 80.000000\n", - "P_WF 2.405994" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sol" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Critical region with active set [0, 1, 2, 3, 4, 5, 7, 12, 14, 21]\n", - "The Omega Constraint indices are []\n", - "The Lagrange multipliers Constraint indices are []\n", - "The Regular Constraint indices are [[], []]\n", - " x(θ) = Aθ + b \n", - " λ(θ) = Cθ + d \n", - " Eθ <= f\n", - " A = [[ 7.13759701e+01 0.00000000e+00 -6.06574431e-03]\n", - " [-2.44281504e-14 0.00000000e+00 -2.42482092e-18]\n", - " [ 1.00000000e+02 0.00000000e+00 -2.57504904e-14]\n", - " [ 5.26326341e-14 0.00000000e+00 -6.70911101e-17]\n", - " [ 4.24856965e+01 0.00000000e+00 -3.61056209e-03]\n", - " [ 1.33693148e-14 0.00000000e+00 9.99800040e-03]\n", - " [-4.19192205e+01 0.00000000e+00 3.56242126e-03]\n", - " [ 2.94567496e+01 0.00000000e+00 -2.50332305e-03]\n", - " [-1.29192920e-15 0.00000000e+00 -9.83316793e-18]\n", - " [ 4.24856965e+01 0.00000000e+00 -3.61056209e-03]\n", - " [-2.16135739e-14 0.00000000e+00 9.99800040e-03]] \n", - " b = [[ 7.13759701e+01]\n", - " [ 3.53700000e+01]\n", - " [ 2.19915529e-12]\n", - " [ 3.18390000e+02]\n", - " [ 4.24856965e+01]\n", - " [-3.11160858e-14]\n", - " [-4.19192205e+01]\n", - " [ 2.94567496e+01]\n", - " [ 1.00000000e+02]\n", - " [ 4.24856965e+01]\n", - " [ 0.00000000e+00]] \n", - " C = [[0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]\n", - " [0. 0. 0.]] \n", - " d = [[-5.61157774e+00]\n", - " [-2.04942074e-14]\n", - " [ 2.71874791e+00]\n", - " [-3.33724725e-02]\n", - " [ 7.00385401e+00]\n", - " [-1.01099857e-14]\n", - " [-1.20665411e+02]\n", - " [-9.82524522e+00]\n", - " [-1.40235013e-01]\n", - " [ 1.40242024e+01]] \n", - " E = [] \n", - " f = []" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "gen_cr_from_active_set(p, [0,1,2,3,4,5,7,12,14,21], False)" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [], - "source": [ - "theta_coeff_matrix = solution.critical_regions[1].E\n", - "# theta_coeff_matrix = theta_coeff_matrix[~numpy.all(theta_coeff_matrix == 0, axis=1)]\n", - "theta_rhs_matrix = solution.critical_regions[1].f \n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The problem has the following variables:\n", - "Resource inventory level (Inv) x 1\n", - "Exact resource discharge (Sf) x 1\n", - "Uncertain resource discharge (S) x 1\n", - "Exact resource availability (Af) x 3\n", - "Uncertain resource availability (A) x 0\n", - "Exact resource price (Cf) x 3\n", - "Uncertain resource price (C) x 0\n", - "Exact process production (Pf) x 5\n", - "Uncertain process production (P) x 0\n", - " For a total of 11 (10 fixed, and 1 uncertain)\n" - ] - } - ], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated', varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (min(demand['COAST']), 1))\n", - "\n", - "# H2O = Resource(name='H2O', cons_max=100, basis='tons', label='Water', varying= [VaryingResource.UNCERTAIN_AVAILABILITY], varying_bounds= (0.3, 0.95))\n", - "H2O = Resource(name='H2O', cons_max=500, basis='tons', label='Water', price = 0.01)\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen',demand= True) #, varying = [VaryingResource.UNCERTAIN_DEMAND], varying_bounds = (0.6, 0.8))\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=0.345, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.UNCERTAIN_PRICE])\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302, fopex=0, vopex=0, prod_max=50,\n", - " storage_loss=0.11, label='Lithium-ion battery', basis='MW', store_max=100)\n", - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, H2O: -3.1839}, capex=1550, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 0.85}, capex=990, fopex=0, vopex=0,\n", - " prod_max=100, label='Wind mill array', basis='MW')#, varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds = (0, 1))\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 0.75}, capex=567, fopex=0, vopex=0,\n", - " prod_max=100, label='Solar PV', basis='MW')#, varying=[VaryingProcess.UNCERTAIN_CAPACITY], varying_bounds= (0, 1))\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108}, capex=2158928, fopex=53320, vopex=4090, prod_max=100, label='NGCC + 95% CC', varying_bounds= (0.6, 1))\n", - "\n", - "region = Location(name='region', processes={\n", - " LiI, WF, PV, PEM}, scales=scales, label='some region')\n", - "\n", - "example = Scenario(name='example', demand={region: {Power:100, H2: 20}}, network=region, scales=scales, label='example scenario')\n", - "# example = Scenario(name='example', demand={region: {Power: 200}}, network=region, scales=scales, label='example scenario')\n", - "matrix = formulate(scenario=example, model_class=ModelClass.MPLP)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [], - "source": [ - "prob_coeff_matrix = matrix['A']\n", - "prob_rhs_matrix = matrix['b']" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(28, 11)" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prob_coeff_matrix.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(7, 3)" - ] - }, - "execution_count": 64, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "theta_coeff_matrix.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [], - "source": [ - "import gurobipy as gp\n", - "\n", - "# Create a Gurobi model\n", - "model = gp.Model()\n", - "\n", - "# Define your decision variables\n", - "num_vars_x = len(theta_coeff_matrix[0]) # Number of variables\n", - "variables_x = model.addVars(num_vars_x, name=\"x\")\n", - "\n", - "num_vars_y = len(prob_coeff_matrix[0])\n", - "variables_y = model.addVars(num_vars_y, name= \"y\")\n", - "\n", - "# Define constraints based on the coefficient matrix and RHS constants\n", - "num_constraints_x = theta_coeff_matrix.shape[0] # Number of constraints\n", - "\n", - "for i in range(num_constraints_x):\n", - " lhs_expr = gp.LinExpr()\n", - " \n", - " # Iterate through the coefficients in the row\n", - " for j in range(num_vars_x):\n", - " lhs_expr.add(variables_x[j], theta_coeff_matrix[i][j])\n", - " \n", - " # Add the constraint to the model\n", - " model.addConstr(lhs_expr, gp.GRB.LESS_EQUAL, theta_rhs_matrix[i], name=f\"constraint_x{i}\")\n", - "\n", - "num_constraints_y = prob_coeff_matrix.shape[0] # Number of constraints\n", - "\n", - "EQUAL = [gp.GRB.EQUAL]*matrix['no_eq_cons']\n", - "LESS_EQUAL = [gp.GRB.LESS_EQUAL]*(prob_coeff_matrix.shape[0] - matrix['no_eq_cons'] - prob_coeff_matrix.shape[1] )\n", - "EQUAL_NN = [gp.GRB.LESS_EQUAL]*prob_coeff_matrix.shape[1]\n", - "SIGNS = EQUAL + LESS_EQUAL + EQUAL_NN\n", - "\n", - "for i in range(num_constraints_y):\n", - " lhs_expr = gp.LinExpr()\n", - " \n", - " # Iterate through the coefficients in the row\n", - " for j in range(num_vars_y):\n", - " lhs_expr.add(variables_y[j], prob_coeff_matrix[i][j])\n", - " \n", - " # Add the constraint to the model\n", - " model.addConstr(lhs_expr, SIGNS[i], prob_rhs_matrix[i], name=f\"constraint_y{i}\")\n", - "\n", - "\n", - "objective_coeff_matrix = matrix['c']\n", - "\n", - "objective_expr = gp.LinExpr()\n", - "\n", - "for i in range(num_vars_y):\n", - " objective_expr.add(variables_y[i], objective_coeff_matrix[i])\n", - "\n", - "# Set the objective function\n", - "model.setObjective(objective_expr, sense=gp.GRB.MINIMIZE)\n", - "\n", - "# Optionally, set an objective function\n", - "# model.setObjective(model.x, sense=gp.GRB.MAXIMIZE) # Set your objective function here\n", - "\n", - "# Solve the model\n", - "# model.optimize()" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [], - "source": [ - "model.write(filename='multiparametric_lp.lp')" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [], - "source": [ - "# model.read(filename='multiparametric_lp.lp')" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 1. , 0. , 0. ],\n", - " [ 0.8, -0.6, 0. ],\n", - " [ 0. , 0. , -1. ],\n", - " [ 0. , 1. , 0. ],\n", - " [ 0. , 0. , 1. ],\n", - " [-1. , 0. , 0. ],\n", - " [ 0. , 0. , -1. ]])" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "theta_coeff_matrix" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "567" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "PV.capex" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1302" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "LiI.capex" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Inv_LiI_Power_storedSf_H2S_PowerAf_H2OAf_SolarAf_WindPf_LiIPf_LiI_dischargePf_PEMPf_PVPf_WF
MB_H2(=)1.00.00.00.00.00.01.0-1.000.00000.000.00
MB_H2O(=)0.0-1.00.00.00.00.00.00.000.35370.000.00
MB_LiI_Power_stored(=)0.00.0-1.00.00.00.0-1.00.89-1.00000.750.85
MB_Power(=)0.00.00.01.00.00.00.00.00-3.18390.000.00
MB_Solar(=)0.00.00.00.01.00.00.00.000.0000-1.000.00
MB_Wind(=)0.00.00.00.00.01.00.00.000.00000.00-1.00
Inv_LiI_Power_stored(<)1.00.00.00.00.00.00.00.000.00000.000.00
Sf_H2(>)0.0-1.00.00.00.00.00.00.000.00000.000.00
S_Power(>)0.00.0-1.00.00.00.00.00.000.00000.000.00
Af_H2O(<)0.00.00.01.00.00.00.00.000.00000.000.00
Af_Solar(<)0.00.00.00.01.00.00.00.000.00000.000.00
Af_Wind(<)0.00.00.00.00.01.00.00.000.00000.000.00
Pf_LiI(<)0.00.00.00.00.00.01.00.000.00000.000.00
Pf_LiI_discharge(<)0.00.00.00.00.00.00.01.000.00000.000.00
Pf_PEM(<)0.00.00.00.00.00.00.00.001.00000.000.00
Pf_PV(<)0.00.00.00.00.00.00.00.000.00001.000.00
Pf_WF(<)0.00.00.00.00.00.00.00.000.00000.001.00
NN_Inv_LiI_Power_stored(>)-1.0-0.0-0.0-0.0-0.0-0.0-0.0-0.00-0.0000-0.00-0.00
NN_Sf_H2(>)-0.0-1.0-0.0-0.0-0.0-0.0-0.0-0.00-0.0000-0.00-0.00
NN_S_Power(>)-0.0-0.0-1.0-0.0-0.0-0.0-0.0-0.00-0.0000-0.00-0.00
NN_Af_H2O(>)-0.0-0.0-0.0-1.0-0.0-0.0-0.0-0.00-0.0000-0.00-0.00
NN_Af_Solar(>)-0.0-0.0-0.0-0.0-1.0-0.0-0.0-0.00-0.0000-0.00-0.00
NN_Af_Wind(>)-0.0-0.0-0.0-0.0-0.0-1.0-0.0-0.00-0.0000-0.00-0.00
NN_Pf_LiI(>)-0.0-0.0-0.0-0.0-0.0-0.0-1.0-0.00-0.0000-0.00-0.00
NN_Pf_LiI_discharge(>)-0.0-0.0-0.0-0.0-0.0-0.0-0.0-1.00-0.0000-0.00-0.00
NN_Pf_PEM(>)-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.00-1.0000-0.00-0.00
NN_Pf_PV(>)-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.00-0.0000-1.00-0.00
NN_Pf_WF(>)-0.0-0.0-0.0-0.0-0.0-0.0-0.0-0.00-0.0000-0.00-1.00
\n", - "
" - ], - "text/plain": [ - " Inv_LiI_Power_stored Sf_H2 S_Power Af_H2O \\\n", - "MB_H2(=) 1.0 0.0 0.0 0.0 \n", - "MB_H2O(=) 0.0 -1.0 0.0 0.0 \n", - "MB_LiI_Power_stored(=) 0.0 0.0 -1.0 0.0 \n", - "MB_Power(=) 0.0 0.0 0.0 1.0 \n", - "MB_Solar(=) 0.0 0.0 0.0 0.0 \n", - "MB_Wind(=) 0.0 0.0 0.0 0.0 \n", - "Inv_LiI_Power_stored(<) 1.0 0.0 0.0 0.0 \n", - "Sf_H2(>) 0.0 -1.0 0.0 0.0 \n", - "S_Power(>) 0.0 0.0 -1.0 0.0 \n", - "Af_H2O(<) 0.0 0.0 0.0 1.0 \n", - "Af_Solar(<) 0.0 0.0 0.0 0.0 \n", - "Af_Wind(<) 0.0 0.0 0.0 0.0 \n", - "Pf_LiI(<) 0.0 0.0 0.0 0.0 \n", - "Pf_LiI_discharge(<) 0.0 0.0 0.0 0.0 \n", - "Pf_PEM(<) 0.0 0.0 0.0 0.0 \n", - "Pf_PV(<) 0.0 0.0 0.0 0.0 \n", - "Pf_WF(<) 0.0 0.0 0.0 0.0 \n", - "NN_Inv_LiI_Power_stored(>) -1.0 -0.0 -0.0 -0.0 \n", - "NN_Sf_H2(>) -0.0 -1.0 -0.0 -0.0 \n", - "NN_S_Power(>) -0.0 -0.0 -1.0 -0.0 \n", - "NN_Af_H2O(>) -0.0 -0.0 -0.0 -1.0 \n", - "NN_Af_Solar(>) -0.0 -0.0 -0.0 -0.0 \n", - "NN_Af_Wind(>) -0.0 -0.0 -0.0 -0.0 \n", - "NN_Pf_LiI(>) -0.0 -0.0 -0.0 -0.0 \n", - "NN_Pf_LiI_discharge(>) -0.0 -0.0 -0.0 -0.0 \n", - "NN_Pf_PEM(>) -0.0 -0.0 -0.0 -0.0 \n", - "NN_Pf_PV(>) -0.0 -0.0 -0.0 -0.0 \n", - "NN_Pf_WF(>) -0.0 -0.0 -0.0 -0.0 \n", - "\n", - " Af_Solar Af_Wind Pf_LiI Pf_LiI_discharge \\\n", - "MB_H2(=) 0.0 0.0 1.0 -1.00 \n", - "MB_H2O(=) 0.0 0.0 0.0 0.00 \n", - "MB_LiI_Power_stored(=) 0.0 0.0 -1.0 0.89 \n", - "MB_Power(=) 0.0 0.0 0.0 0.00 \n", - "MB_Solar(=) 1.0 0.0 0.0 0.00 \n", - "MB_Wind(=) 0.0 1.0 0.0 0.00 \n", - "Inv_LiI_Power_stored(<) 0.0 0.0 0.0 0.00 \n", - "Sf_H2(>) 0.0 0.0 0.0 0.00 \n", - "S_Power(>) 0.0 0.0 0.0 0.00 \n", - "Af_H2O(<) 0.0 0.0 0.0 0.00 \n", - "Af_Solar(<) 1.0 0.0 0.0 0.00 \n", - "Af_Wind(<) 0.0 1.0 0.0 0.00 \n", - "Pf_LiI(<) 0.0 0.0 1.0 0.00 \n", - "Pf_LiI_discharge(<) 0.0 0.0 0.0 1.00 \n", - "Pf_PEM(<) 0.0 0.0 0.0 0.00 \n", - "Pf_PV(<) 0.0 0.0 0.0 0.00 \n", - "Pf_WF(<) 0.0 0.0 0.0 0.00 \n", - "NN_Inv_LiI_Power_stored(>) -0.0 -0.0 -0.0 -0.00 \n", - "NN_Sf_H2(>) -0.0 -0.0 -0.0 -0.00 \n", - "NN_S_Power(>) -0.0 -0.0 -0.0 -0.00 \n", - "NN_Af_H2O(>) -0.0 -0.0 -0.0 -0.00 \n", - "NN_Af_Solar(>) -1.0 -0.0 -0.0 -0.00 \n", - "NN_Af_Wind(>) -0.0 -1.0 -0.0 -0.00 \n", - "NN_Pf_LiI(>) -0.0 -0.0 -1.0 -0.00 \n", - "NN_Pf_LiI_discharge(>) -0.0 -0.0 -0.0 -1.00 \n", - "NN_Pf_PEM(>) -0.0 -0.0 -0.0 -0.00 \n", - "NN_Pf_PV(>) -0.0 -0.0 -0.0 -0.00 \n", - "NN_Pf_WF(>) -0.0 -0.0 -0.0 -0.00 \n", - "\n", - " Pf_PEM Pf_PV Pf_WF \n", - "MB_H2(=) 0.0000 0.00 0.00 \n", - "MB_H2O(=) 0.3537 0.00 0.00 \n", - "MB_LiI_Power_stored(=) -1.0000 0.75 0.85 \n", - "MB_Power(=) -3.1839 0.00 0.00 \n", - "MB_Solar(=) 0.0000 -1.00 0.00 \n", - "MB_Wind(=) 0.0000 0.00 -1.00 \n", - "Inv_LiI_Power_stored(<) 0.0000 0.00 0.00 \n", - "Sf_H2(>) 0.0000 0.00 0.00 \n", - "S_Power(>) 0.0000 0.00 0.00 \n", - "Af_H2O(<) 0.0000 0.00 0.00 \n", - "Af_Solar(<) 0.0000 0.00 0.00 \n", - "Af_Wind(<) 0.0000 0.00 0.00 \n", - "Pf_LiI(<) 0.0000 0.00 0.00 \n", - "Pf_LiI_discharge(<) 0.0000 0.00 0.00 \n", - "Pf_PEM(<) 1.0000 0.00 0.00 \n", - "Pf_PV(<) 0.0000 1.00 0.00 \n", - "Pf_WF(<) 0.0000 0.00 1.00 \n", - "NN_Inv_LiI_Power_stored(>) -0.0000 -0.00 -0.00 \n", - "NN_Sf_H2(>) -0.0000 -0.00 -0.00 \n", - "NN_S_Power(>) -0.0000 -0.00 -0.00 \n", - "NN_Af_H2O(>) -0.0000 -0.00 -0.00 \n", - "NN_Af_Solar(>) -0.0000 -0.00 -0.00 \n", - "NN_Af_Wind(>) -0.0000 -0.00 -0.00 \n", - "NN_Pf_LiI(>) -0.0000 -0.00 -0.00 \n", - "NN_Pf_LiI_discharge(>) -0.0000 -0.00 -0.00 \n", - "NN_Pf_PEM(>) -1.0000 -0.00 -0.00 \n", - "NN_Pf_PV(>) -0.0000 -1.00 -0.00 \n", - "NN_Pf_WF(>) -0.0000 -0.00 -1.00 " - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "example.A_df" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 0.62954905],\n", - " [-0.09636076],\n", - " [ 0. ],\n", - " [ 1. ],\n", - " [ 1. ],\n", - " [-0.34919805],\n", - " [ 0. ]])" - ] - }, - "execution_count": 72, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "theta_rhs_matrix" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([[ 0.62954905],\n", - " [-0.09636076],\n", - " [ 0. ],\n", - " [ 1. ],\n", - " [ 1. ],\n", - " [-0.34919805],\n", - " [ 0. ]]),\n", - " array([[ 1. , 0. , 0. ],\n", - " [ 0.8, -0.6, 0. ],\n", - " [ 0. , 0. , -1. ],\n", - " [ 0. , 1. , 0. ],\n", - " [ 0. , 0. , 1. ],\n", - " [-1. , 0. , 0. ],\n", - " [ 0. , 0. , -1. ]]))" - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "theta_rhs_matrix, theta_coeff_matrix \n" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 35 rows, 14 columns and 49 nonzeros\n", - "Model fingerprint: 0xbb6f1b0d\n", - "Coefficient statistics:\n", - " Matrix range [4e-01, 1e+02]\n", - " Objective range [6e+02, 2e+03]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [3e-01, 5e+02]\n", - "Presolve removed 35 rows and 14 columns\n", - "Presolve time: 0.01s\n", - "Presolve: All rows and columns removed\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 5.5176762e+04 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 0 iterations and 0.01 seconds (0.00 work units)\n", - "Optimal objective 5.517676152e+04\n", - "x[0]: 0.62954905\n", - "x[1]: 1.0\n", - "x[2]: 1.0\n", - "y[0]: 50.0\n", - "y[1]: 12.590981000000001\n", - "y[2]: 8.902089341249642\n", - "y[3]: 113.34018774639526\n", - "y[4]: 0.0\n", - "y[5]: 0.0\n", - "y[6]: 0.0\n", - "y[7]: 50.0\n", - "y[8]: 35.59791065875036\n", - "y[9]: 0.0\n", - "y[10]: 0.0\n", - "Optimal Objective Value: 55176.761521063054\n" - ] - } - ], - "source": [ - "import gurobipy as gp\n", - "\n", - "# Create a Gurobi model object\n", - "model = gp.Model()\n", - "\n", - "# Define decision variables\n", - "x = model.addVars(3, lb=0, name=\"x\")\n", - "y = model.addVars(11, lb=0, name=\"y\")\n", - "\n", - "# Set the objective function\n", - "model.setObjective(\n", - " 1302 * y[6] + 1550 * y[8] + 567 * y[9] + 990 * y[10],\n", - " sense=gp.GRB.MINIMIZE\n", - ")\n", - "\n", - "# Add constraints\n", - "# model.addConstr(x[1] <= 1, name=\"constraint_x0\")\n", - "# model.addConstr(0.8 * x[0] <= 0.5836392422958072, name=\"constraint_x1\")\n", - "# model.addConstr(0.661541201655627 * x[0] <= 0, name=\"constraint_x2\")\n", - "# model.addConstr(0.6 * x[1] <= 0, name=\"constraint_x3\")\n", - "# model.addConstr(0.6 * x[1] <= 0.0963607577041876, name=\"constraint_x4\")\n", - "# model.addConstr(x[0] <= 0, name=\"constraint_x5\")\n", - "# model.addConstr(x[1] <= 0.0963607577041874, name=\"constraint_x6\")\n", - "# model.addConstr(x[2] <= 1, name=\"constraint_x7\")\n", - "\n", - "model.addConstr(x[0] >=0.62954905)\n", - "# model.addConstr(0.8*x[0] <=0)\n", - "model.addConstr(x[1] <=1)\n", - "model.addConstr(x[2] <=1)\n", - "\n", - "model.addConstr(x[0] >=min(demand['COAST']))\n", - "model.addConstr(x[0] <=0.62954905)\n", - "\n", - "# model.addConstr(0.8*x[0] <=0)\n", - "model.addConstr(x[1] <=1)\n", - "model.addConstr(x[2] <=1)\n", - "\n", - "\n", - "model.addConstr(y[0] + y[6] - y[7] == 0, name=\"constraint_y0\")\n", - "model.addConstr(-y[1] + 0.3537 * y[8] == 0, name=\"constraint_y1\")\n", - "model.addConstr(-y[2] - y[6] + 0.89 * y[7] - y[8] + 0.75 * y[9] + 0.85 * y[10] == 0, name=\"constraint_y2\")\n", - "model.addConstr(y[3] - 3.1839 * y[8] == 0, name=\"constraint_y3\")\n", - "model.addConstr(y[4] - y[9] == 0, name=\"constraint_y4\")\n", - "model.addConstr(y[5] - y[10] == 0, name=\"constraint_y5\")\n", - "\n", - "model.addConstr(y[0] <= 100, name=\"constraint_y6\")\n", - "model.addConstr(-y[1] + 20*x[0] <= 0, name=\"constraint_y7\")\n", - "model.addConstr(-y[2] <= 0, name=\"constraint_y8\")\n", - "model.addConstr(y[3] <= 500, name=\"constraint_y9\")\n", - "model.addConstr(y[4] <= 100, name=\"constraint_y10\")\n", - "model.addConstr(y[5] <= 100, name=\"constraint_y11\")\n", - "model.addConstr(y[6] <= 50, name=\"constraint_y12\")\n", - "model.addConstr(y[7] <= 50, name=\"constraint_y13\")\n", - "model.addConstr(y[8] <= 100, name=\"constraint_y14\")\n", - "model.addConstr(y[9] - 100*x[1] <= 0, name=\"constraint_y15\")\n", - "model.addConstr(y[10] - 100*x[2] <= 0, name=\"constraint_y16\")\n", - "\n", - "model.addConstr(-y[0] <= 0, name=\"constraint_y17\")\n", - "model.addConstr(-y[1] <= 0, name=\"constraint_y18\")\n", - "model.addConstr(-y[2] <= 0, name=\"constraint_y19\")\n", - "model.addConstr(-y[3] <= 0, name=\"constraint_y20\")\n", - "model.addConstr(-y[4] <= 0, name=\"constraint_y21\")\n", - "model.addConstr(-y[5] <= 0, name=\"constraint_y22\")\n", - "model.addConstr(-y[6] <= 0, name=\"constraint_y23\")\n", - "model.addConstr(-y[7] <= 0, name=\"constraint_y24\")\n", - "model.addConstr(-y[8] <= 0, name=\"constraint_y25\")\n", - "model.addConstr(-y[9] <= 0, name=\"constraint_y26\")\n", - "model.addConstr(-y[10] <= 0, name=\"constraint_y27\")\n", - "\n", - "# Solve the model\n", - "model.optimize()\n", - "\n", - "# Access the solution variables and objective value\n", - "if model.status == gp.GRB.OPTIMAL:\n", - " for variable in model.getVars():\n", - " print(f\"{variable.VarName}: {variable.x}\")\n", - " print(f\"Optimal Objective Value: {model.objVal}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 36 rows, 14 columns and 50 nonzeros\n", - "Model fingerprint: 0x028d9ea6\n", - "Coefficient statistics:\n", - " Matrix range [4e-01, 1e+02]\n", - " Objective range [6e+02, 2e+03]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e-01, 5e+02]\n", - "Presolve removed 36 rows and 14 columns\n", - "Presolve time: 0.01s\n", - "Presolve: All rows and columns removed\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 0.0000000e+00 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 0 iterations and 0.01 seconds (0.00 work units)\n", - "Optimal objective 0.000000000e+00\n", - "x[0]: 0.0\n", - "x[1]: 0.0\n", - "x[2]: 1.0\n", - "y[0]: 50.0\n", - "y[1]: 0.0\n", - "y[2]: 44.5\n", - "y[3]: 0.0\n", - "y[4]: 0.0\n", - "y[5]: 0.0\n", - "y[6]: 0.0\n", - "y[7]: 50.0\n", - "y[8]: 0.0\n", - "y[9]: 0.0\n", - "y[10]: 0.0\n", - "Optimal Objective Value: 0.0\n" - ] - } - ], - "source": [ - "import gurobipy as gp\n", - "\n", - "# Create a Gurobi model object\n", - "model = gp.Model()\n", - "\n", - "# Define decision variables\n", - "x = model.addVars(3, lb=0, name=\"x\")\n", - "y = model.addVars(11, lb=0, name=\"y\")\n", - "\n", - "\n", - "# Set the objective function\n", - "model.setObjective(\n", - " 1302 * y[6] + 1550 * y[8] + 567 * y[9] + 990 * y[10],\n", - " sense=gp.GRB.MINIMIZE\n", - ")\n", - "\n", - "\n", - "# model.addConstr(x[0] <= 1, name=\"constraint_x00\")\n", - "# model.addConstr(x[1] <= 1, name=\"constraint_x01\")\n", - "# model.addConstr(x[2] <= 1, name=\"constraint_x02\")\n", - "\n", - "\n", - "# model.addConstr(x[0] >= 0.345, name=\"constraint_x00\")\n", - "# model.addConstr(x[1] >= 0, name=\"constraint_x01\")\n", - "# model.addConstr(x[2] >= 0, name=\"constraint_x02\")\n", - "\n", - "# Add constraints\n", - "model.addConstr(x[1] <= 1, name=\"constraint_x0\")\n", - "model.addConstr(0.8 * x[0] <= 0.5836392422958072, name=\"constraint_x1\")\n", - "model.addConstr(0.661541201655627 * x[0] <= 0, name=\"constraint_x2\")\n", - "model.addConstr(0.6 * x[1] <= 0, name=\"constraint_x3\")\n", - "model.addConstr(0.6 * x[1] <= 0.0963607577041876, name=\"constraint_x4\")\n", - "model.addConstr(x[0] <= 0, name=\"constraint_x5\")\n", - "model.addConstr(x[1] <= 0.0963607577041874, name=\"constraint_x6\")\n", - "model.addConstr(x[2] <= 1, name=\"constraint_x7\")\n", - "\n", - "model.addConstr(y[0] + y[6] - y[7] == 0, name=\"constraint_y0\")\n", - "model.addConstr(-y[1] + 0.3537 * y[8] == 0, name=\"constraint_y1\")\n", - "model.addConstr(-y[2] - y[6] + 0.89 * y[7] - y[8] + 0.75 * y[9] + 0.85 * y[10] == 0, name=\"constraint_y2\")\n", - "model.addConstr(y[3] - 3.1839 * y[8] == 0, name=\"constraint_y3\")\n", - "model.addConstr(y[4] - y[9] == 0, name=\"constraint_y4\")\n", - "model.addConstr(y[5] - y[10] == 0, name=\"constraint_y5\")\n", - "\n", - "model.addConstr(y[0] <= 100, name=\"constraint_y6\")\n", - "model.addConstr(-y[1] + 20*x[0] <= 0, name=\"constraint_y7\")\n", - "model.addConstr(-y[2] <= 0, name=\"constraint_y8\")\n", - "model.addConstr(y[3] <= 500, name=\"constraint_y9\")\n", - "model.addConstr(y[4] <= 100, name=\"constraint_y10\")\n", - "model.addConstr(y[5] <= 100, name=\"constraint_y11\")\n", - "model.addConstr(y[6] <= 50, name=\"constraint_y12\")\n", - "model.addConstr(y[7] <= 50, name=\"constraint_y13\")\n", - "model.addConstr(y[8] <= 100, name=\"constraint_y14\")\n", - "model.addConstr(y[9] - 100*x[1] <= 0, name=\"constraint_y15\")\n", - "model.addConstr(y[10] - 100*x[2] <= 0, name=\"constraint_y16\")\n", - "\n", - "model.addConstr(-y[0] <= 0, name=\"constraint_y17\")\n", - "model.addConstr(-y[1] <= 0, name=\"constraint_y18\")\n", - "model.addConstr(-y[2] <= 0, name=\"constraint_y19\")\n", - "model.addConstr(-y[3] <= 0, name=\"constraint_y20\")\n", - "model.addConstr(-y[4] <= 0, name=\"constraint_y21\")\n", - "model.addConstr(-y[5] <= 0, name=\"constraint_y22\")\n", - "model.addConstr(-y[6] <= 0, name=\"constraint_y23\")\n", - "model.addConstr(-y[7] <= 0, name=\"constraint_y24\")\n", - "model.addConstr(-y[8] <= 0, name=\"constraint_y25\")\n", - "model.addConstr(-y[9] <= 0, name=\"constraint_y26\")\n", - "model.addConstr(-y[10] <= 0, name=\"constraint_y27\")\n", - "\n", - "# Solve the model\n", - "model.optimize()\n", - "\n", - "# Access the solution variables and objective value\n", - "if model.status == gp.GRB.OPTIMAL:\n", - " for variable in model.getVars():\n", - " print(f\"{variable.VarName}: {variable.x}\")\n", - " print(f\"Optimal Objective Value: {model.objVal}\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/scenario_blue.ipynb b/examples/publication/scenario_blue.ipynb deleted file mode 100644 index 6d556056..00000000 --- a/examples/publication/scenario_blue.ipynb +++ /dev/null @@ -1,1572 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP Case Study (blue)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_23156\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)]) #, " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_23156\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=0,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=0, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=0, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400000, fopex=800000, vopex=30, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4.140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "metadata": {}, - "outputs": [], - "source": [ - "location_generation = Location(name='generation', processes= {NGCC, LiI}, \n", - " capacity_factor={PV: solar_houston[:8760], WF: wind_houston[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_production = Location(name='production', processes= {SMRH}, price_factor={\n", - " CH4: ng_price_df[:365]}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "H2_pipeline = Transport(name= 'hydrogen', resources= {H2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 2\n", - " , label= 'Pipeline for hydrogen transportation')\n", - "\n", - "CO2_pipeline = Transport(name= 'carbon', resources= {CO2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 1\n", - " , label= 'Pipeline for carbon dioxide transportation')\n", - "\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.01, trans_cost= 0.5, label= 'Power Transmission')" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [20, 45, 100],\n", - " [0, 60, 50]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Grid, CO2_pipeline], [Grid]],\n", - " [[],[CO2_pipeline], [H2_pipeline]], \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [location_generation, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# # plot_location.demand_factor(resource=Power, location=houston)\n", - "\n", - "# plot_location.capacity_factor(process=PV, location=location_generation_max)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation_max)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "locset = [location_production, location_generation, location_sequestration, location_consumption]\n", - "demand_dict = {i: {H2_C: 1} if i == location_consumption else {H2_C: 0} for i in locset}\n", - "\n", - "\n", - "# scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand= demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_blue', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand=demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [], - "source": [ - "casestudy = CaseStudy(name = 'casestudy', scenarios= [scenario])" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[scenario_blue]" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.scenarios" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [], - "source": [ - "inventory_zero = {i: {(LiI, Power): 25} if i == location_generation else {(LiI, Power): 0} for i in locset}" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint production mode\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ERROR:pyomo.core:Constructing component 'constraint_inventory_balance' from data=None failed:\n", - "KeyboardInterrupt: \n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Unexpected exception formatting exception. Falling back to standard exception\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Traceback (most recent call last):\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3508, in run_code\n", - " exec(code_obj, self.user_global_ns, self.user_ns)\n", - " File \"C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_23156\\790585324.py\", line 1, in \n", - " casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " File \"c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\components\\case_study.py\", line 88, in formulate\n", - " self.formulations = {i.name: formulate_casestudy(scenario=i, constraints=constraints, objective=objective,\n", - " File \"c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\components\\case_study.py\", line 88, in \n", - " self.formulations = {i.name: formulate_casestudy(scenario=i, constraints=constraints, objective=objective,\n", - " File \"c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\formulate.py\", line 415, in formulate\n", - " File \"c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\constraints\\resource_balance.py\", line 165, in constraint_inventory_balance\n", - " instance.constraint_inventory_balance = Constraint(\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py\", line 580, in __setattr__\n", - " self.add_component(name, val)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py\", line 1185, in add_component\n", - " val.construct(data)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\constraint.py\", line 806, in construct\n", - " self._setitem_when_not_present(index, rule(block, index))\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\", line 314, in __call__\n", - " return self._fcn(parent, *idx)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\constraints\\resource_balance.py\", line 156, in inventory_balance_rule\n", - " produced = sum(sum(multiconversion[process][mode][resource] * instance.P_m[location, process, mode,\n", - " File \"c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\constraints\\resource_balance.py\", line 156, in \n", - " produced = sum(sum(multiconversion[process][mode][resource] * instance.P_m[location, process, mode,\n", - " File \"c:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\constraints\\resource_balance.py\", line 156, in \n", - " produced = sum(sum(multiconversion[process][mode][resource] * instance.P_m[location, process, mode,\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\var.py\", line 1033, in __getitem__\n", - " return super().__getitem__(args)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\indexed_component.py\", line 646, in __getitem__\n", - " validated_index = self._validate_index(index)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\indexed_component.py\", line 837, in _validate_index\n", - " validated_idx = self._index_set.get(idx, _NotFound)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\set.py\", line 3941, in get\n", - " v = self._find_val(val)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\set.py\", line 4005, in _find_val\n", - " elif val[index[i] : lastIndex] not in self._sets[i]:\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\set.py\", line 507, in __contains__\n", - " ans = self.get(value, _NotFound)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\set.py\", line 1301, in get\n", - " value = normalize_index(value)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\indexed_component.py\", line 47, in normalize_index\n", - " def normalize_index(x):\n", - "KeyboardInterrupt\n", - "\n", - "During handling of the above exception, another exception occurred:\n", - "\n", - "Traceback (most recent call last):\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2105, in showtraceback\n", - " stb = self.InteractiveTB.structured_traceback(\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1428, in structured_traceback\n", - " return FormattedTB.structured_traceback(\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1319, in structured_traceback\n", - " return VerboseTB.structured_traceback(\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1172, in structured_traceback\n", - " formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 1087, in format_exception_as_a_whole\n", - " frames.append(self.format_record(record))\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 969, in format_record\n", - " frame_info.lines, Colors, self.has_colors, lvals\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\IPython\\core\\ultratb.py\", line 792, in lines\n", - " return self._sd.lines\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\stack_data\\utils.py\", line 144, in cached_property_wrapper\n", - " value = obj.__dict__[self.func.__name__] = self.func(obj)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\stack_data\\core.py\", line 734, in lines\n", - " pieces = self.included_pieces\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\stack_data\\utils.py\", line 144, in cached_property_wrapper\n", - " value = obj.__dict__[self.func.__name__] = self.func(obj)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\stack_data\\core.py\", line 681, in included_pieces\n", - " pos = scope_pieces.index(self.executing_piece)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\stack_data\\utils.py\", line 144, in cached_property_wrapper\n", - " value = obj.__dict__[self.func.__name__] = self.func(obj)\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\stack_data\\core.py\", line 660, in executing_piece\n", - " return only(\n", - " File \"c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\executing\\executing.py\", line 190, in only\n", - " raise NotOneValueFound('Expected one value, found 0')\n", - "executing.executing.NotOneValueFound: Expected one value, found 0\n" - ] - } - ], - "source": [ - "casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 2820960 rows, 3039966 columns and 5834604 nonzeros\n", - "Model fingerprint: 0xf1f6fcdd\n", - "Variable types: 3039948 continuous, 18 integer (18 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+06]\n", - "Presolve removed 0 rows and 0 columns (presolve time = 6s) ...\n", - "Presolve removed 2759644 rows and 2996165 columns\n", - "Presolve time: 9.94s\n", - "Presolved: 61316 rows, 43801 columns, 166427 nonzeros\n", - "Variable types: 43801 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 4.2489161e+10 0.000000e+00 1.512361e+09 12s\n", - " 17523 1.0048967e+09 0.000000e+00 0.000000e+00 12s\n", - "Concurrent spin time: 12.93s\n", - "\n", - "Solved with primal simplex\n", - "\n", - "Root relaxation: objective 1.004897e+09, 17523 iterations, 13.34 seconds (0.15 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.004897e+09 1.0049e+09 0.00% - 25s\n", - "\n", - "Explored 1 nodes (17523 simplex iterations) in 38.62 seconds (5.25 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.0049e+09 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.004896717260e+09, best bound 1.004896717260e+09, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = casestudy.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "# results_dict = {i.name: solve(scenario=i, instance=milp_dict[i.name], solver='gurobi',\n", - "# name=f\"results_master\", print_solversteps=True, saveformat = '.pkl') for i in [scenario, scenario_max, scenario_min, scenario_mean]}" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "1618149905.9807537" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1004896717.2600682" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_blue'].output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "114714.23716029373" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_blue'].divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_blue'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='generation', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_blue'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='production', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_blue'], y_axis='P', component='SMRH',\n", - " location='production', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'AqOff', 0): 0.0,\n", - " ('consumption', 'H2_Comp', 0): 0.0,\n", - " ('consumption', 'LiI', 0): 0.0,\n", - " ('consumption', 'LiI_discharge', 0): 0.0,\n", - " ('consumption', 'NGCC', 0): 0.0,\n", - " ('consumption', 'SMRH', 0): 0.0,\n", - " ('generation', 'AqOff', 0): 0.0,\n", - " ('generation', 'H2_Comp', 0): 0.0,\n", - " ('generation', 'LiI', 0): 0.0,\n", - " ('generation', 'LiI_discharge', 0): 0.0,\n", - " ('generation', 'NGCC', 0): 964389770.454395,\n", - " ('generation', 'SMRH', 0): 0.0,\n", - " ('production', 'AqOff', 0): 0.0,\n", - " ('production', 'H2_Comp', 0): 0.0,\n", - " ('production', 'LiI', 0): 0.0,\n", - " ('production', 'LiI_discharge', 0): 0.0,\n", - " ('production', 'NGCC', 0): 0.0,\n", - " ('production', 'SMRH', 0): 451139.9998814323,\n", - " ('sequestration', 'AqOff', 0): 613867.0557764623,\n", - " ('sequestration', 'H2_Comp', 0): 0.0,\n", - " ('sequestration', 'LiI', 0): 0.0,\n", - " ('sequestration', 'LiI_discharge', 0): 0.0,\n", - " ('sequestration', 'NGCC', 0): 0.0,\n", - " ('sequestration', 'SMRH', 0): 0.0}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_blue'].output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('CO2_AQoff', 0): 140863.2132820396,\n", - " ('CO2_Vent', 0): 12524.312978373882,\n", - " ('H2(C)', 0): 8759.999997697714}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_blue'].output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_blue'], y_axis='S', component='H2(C)',\n", - " location='consumption', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_blue'], y_axis='Inv', component='LiI_Power_stored',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_blue'], y_axis='P', component='NGCC',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_blue'], source='generation', sink='production', resource='Power', transport='Grid')\n", - "plot_results.transport(results=results.results['scenario_blue'], source='generation', sink='sequestration', resource='CO2', transport='carbon')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_blue'], y_axis='P', component='AqOff',\n", - " location='sequestration', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "capex = results.results['scenario_blue'].output['Capex_network'][0]*scenario.annualization_factor\n", - "fopex = results.results['scenario_blue'].output['Fopex_network'][0]\n", - "vopex = results.results['scenario_blue'].output['Vopex_network'][0]\n", - "trans = sum(results.results['scenario_blue'].output['Trans_cost'].values())" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(1610440.96908215, 2380209.569830912, 965454777.5100529, 12562028.99585336)" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "capex, fopex, vopex, trans" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'AqOff', 0): 0.0,\n", - " ('consumption', 'H2_Comp', 0): 0.0,\n", - " ('consumption', 'LiI', 0): 0.0,\n", - " ('consumption', 'LiI_discharge', 0): 0.0,\n", - " ('consumption', 'NGCC', 0): 0.0,\n", - " ('consumption', 'SMRH', 0): 0.0,\n", - " ('generation', 'AqOff', 0): 0.0,\n", - " ('generation', 'H2_Comp', 0): 0.0,\n", - " ('generation', 'LiI', 0): 0.0,\n", - " ('generation', 'LiI_discharge', 0): 0.0,\n", - " ('generation', 'NGCC', 0): 964389770.454395,\n", - " ('generation', 'SMRH', 0): 0.0,\n", - " ('production', 'AqOff', 0): 0.0,\n", - " ('production', 'H2_Comp', 0): 0.0,\n", - " ('production', 'LiI', 0): 0.0,\n", - " ('production', 'LiI_discharge', 0): 0.0,\n", - " ('production', 'NGCC', 0): 0.0,\n", - " ('production', 'SMRH', 0): 451139.9998814323,\n", - " ('sequestration', 'AqOff', 0): 613867.0557764623,\n", - " ('sequestration', 'H2_Comp', 0): 0.0,\n", - " ('sequestration', 'LiI', 0): 0.0,\n", - " ('sequestration', 'LiI_discharge', 0): 0.0,\n", - " ('sequestration', 'NGCC', 0): 0.0,\n", - " ('sequestration', 'SMRH', 0): 0.0}" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_blue'].output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : total vopex from network\n", - " Size=24, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'AqOff', 0) : 0.0 : Vopex_process[consumption,AqOff,0] - 4.14*P_location[consumption,AqOff,0] : 0.0 : True\n", - " ('consumption', 'H2_Comp', 0) : 0.0 : Vopex_process[consumption,H2_Comp,0] + 0*P_location[consumption,H2_Comp,0] : 0.0 : True\n", - " ('consumption', 'LiI', 0) : 0.0 : Vopex_process[consumption,LiI,0] + 0*P_location[consumption,LiI,0] : 0.0 : True\n", - " ('consumption', 'LiI_discharge', 0) : 0.0 : Vopex_process[consumption,LiI_discharge,0] + 0*P_location[consumption,LiI_discharge,0] : 0.0 : True\n", - " ('consumption', 'NGCC', 0) : 0.0 : Vopex_process[consumption,NGCC,0] - 4090*P_location[consumption,NGCC,0] : 0.0 : True\n", - " ('consumption', 'SMRH', 0) : 0.0 : Vopex_process[consumption,SMRH,0] - 51.5*P_location[consumption,SMRH,0] : 0.0 : True\n", - " ('generation', 'AqOff', 0) : 0.0 : Vopex_process[generation,AqOff,0] - 4.14*P_location[generation,AqOff,0] : 0.0 : True\n", - " ('generation', 'H2_Comp', 0) : 0.0 : Vopex_process[generation,H2_Comp,0] + 0*P_location[generation,H2_Comp,0] : 0.0 : True\n", - " ('generation', 'LiI', 0) : 0.0 : Vopex_process[generation,LiI,0] + 0*P_location[generation,LiI,0] : 0.0 : True\n", - " ('generation', 'LiI_discharge', 0) : 0.0 : Vopex_process[generation,LiI_discharge,0] + 0*P_location[generation,LiI_discharge,0] : 0.0 : True\n", - " ('generation', 'NGCC', 0) : 0.0 : Vopex_process[generation,NGCC,0] - 4090*P_location[generation,NGCC,0] : 0.0 : True\n", - " ('generation', 'SMRH', 0) : 0.0 : Vopex_process[generation,SMRH,0] - 51.5*P_location[generation,SMRH,0] : 0.0 : True\n", - " ('production', 'AqOff', 0) : 0.0 : Vopex_process[production,AqOff,0] - 4.14*P_location[production,AqOff,0] : 0.0 : True\n", - " ('production', 'H2_Comp', 0) : 0.0 : Vopex_process[production,H2_Comp,0] + 0*P_location[production,H2_Comp,0] : 0.0 : True\n", - " ('production', 'LiI', 0) : 0.0 : Vopex_process[production,LiI,0] + 0*P_location[production,LiI,0] : 0.0 : True\n", - " ('production', 'LiI_discharge', 0) : 0.0 : Vopex_process[production,LiI_discharge,0] + 0*P_location[production,LiI_discharge,0] : 0.0 : True\n", - " ('production', 'NGCC', 0) : 0.0 : Vopex_process[production,NGCC,0] - 4090*P_location[production,NGCC,0] : 0.0 : True\n", - " ('production', 'SMRH', 0) : 0.0 : Vopex_process[production,SMRH,0] - 51.5*P_location[production,SMRH,0] : 0.0 : True\n", - " ('sequestration', 'AqOff', 0) : 0.0 : Vopex_process[sequestration,AqOff,0] - 4.14*P_location[sequestration,AqOff,0] : 0.0 : True\n", - " ('sequestration', 'H2_Comp', 0) : 0.0 : Vopex_process[sequestration,H2_Comp,0] + 0*P_location[sequestration,H2_Comp,0] : 0.0 : True\n", - " ('sequestration', 'LiI', 0) : 0.0 : Vopex_process[sequestration,LiI,0] + 0*P_location[sequestration,LiI,0] : 0.0 : True\n", - " ('sequestration', 'LiI_discharge', 0) : 0.0 : Vopex_process[sequestration,LiI_discharge,0] + 0*P_location[sequestration,LiI_discharge,0] : 0.0 : True\n", - " ('sequestration', 'NGCC', 0) : 0.0 : Vopex_process[sequestration,NGCC,0] - 4090*P_location[sequestration,NGCC,0] : 0.0 : True\n", - " ('sequestration', 'SMRH', 0) : 0.0 : Vopex_process[sequestration,SMRH,0] - 51.5*P_location[sequestration,SMRH,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_blue'].constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_location_vopex : total vopex from location\n", - " Size=4, Index=constraint_location_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 0) : 0.0 : Vopex_location[consumption,0] - (Vopex_process[consumption,AqOff,0] + Vopex_process[consumption,H2_Comp,0] + Vopex_process[consumption,LiI,0] + Vopex_process[consumption,LiI_discharge,0] + Vopex_process[consumption,NGCC,0] + Vopex_process[consumption,SMRH,0]) : 0.0 : True\n", - " ('generation', 0) : 0.0 : Vopex_location[generation,0] - (Vopex_process[generation,AqOff,0] + Vopex_process[generation,H2_Comp,0] + Vopex_process[generation,LiI,0] + Vopex_process[generation,LiI_discharge,0] + Vopex_process[generation,NGCC,0] + Vopex_process[generation,SMRH,0]) : 0.0 : True\n", - " ('production', 0) : 0.0 : Vopex_location[production,0] - (Vopex_process[production,AqOff,0] + Vopex_process[production,H2_Comp,0] + Vopex_process[production,LiI,0] + Vopex_process[production,LiI_discharge,0] + Vopex_process[production,NGCC,0] + Vopex_process[production,SMRH,0]) : 0.0 : True\n", - " ('sequestration', 0) : 0.0 : Vopex_location[sequestration,0] - (Vopex_process[sequestration,AqOff,0] + Vopex_process[sequestration,H2_Comp,0] + Vopex_process[sequestration,LiI,0] + Vopex_process[sequestration,LiI_discharge,0] + Vopex_process[sequestration,NGCC,0] + Vopex_process[sequestration,SMRH,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_blue'].constraint_location_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/scenario_full.ipynb b/examples/publication/scenario_full.ipynb deleted file mode 100644 index 70c0eb23..00000000 --- a/examples/publication/scenario_full.ipynb +++ /dev/null @@ -1,1764 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Master Energy Systems MILP Case Study" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_13948\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston_max = calculate_hourly(data = solar_houston, what = 'max', column_name= 'PV_Power')\n", - "solar_houston_min = calculate_hourly(data = solar_houston, what = 'min', column_name= 'PV_Power')\n", - "solar_houston_mean = calculate_hourly(data = solar_houston, what = 'mean', column_name= 'PV_Power')" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston_max = calculate_hourly(data = wind_houston, what = 'max', column_name= 'feedin_power_plant')\n", - "wind_houston_min = calculate_hourly(data = wind_houston, what = 'min', column_name= 'feedin_power_plant')\n", - "wind_houston_mean = calculate_hourly(data = wind_houston, what = 'mean', column_name= 'feedin_power_plant')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)]) #, stretch = True" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_13948\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "ercot['hour'] = ercot.index.hour" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "y_hour = ercot.groupby(['hour']).mean()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(10,6))\n", - "x_ = list(range(24))\n", - "y_ = y_hour\n", - "# x_ = [2016+ i for i in range(5)]\n", - "ax.plot(x_, y_, linewidth=1.5, color='green')\n", - "# ax = axis_formatter(axes=ax, xcord=x_, axis_labels='M')\n", - "plt.title('Average hourly demand for power')\n", - "plt.ylabel(\"MW\")\n", - "plt.xlabel(\"Hour\")\n", - "ax.set_xticks(x_)\n", - "# ax.set_ylim(0,)\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(8,6))\n", - "y_ = ercot.resample('y').mean()\n", - "x_ = [2016+ i for i in range(5)]\n", - "ax.plot(x_, y_, linewidth=1.5, color='green')\n", - "# ax = axis_formatter(axes=ax, xcord=x_, axis_labels='M')\n", - "plt.title('Average annual demand for power')\n", - "plt.ylabel(\"MW\")\n", - "plt.xlabel(\"Year\")\n", - "ax.set_xticks(x_)\n", - "# ax.set_ylim(0,)\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
COASThour
2016-12-31 00:00:00+00:0011699.16842611.5
2017-12-31 00:00:00+00:0011930.90684111.5
2018-12-31 00:00:00+00:0012164.57394911.5
2019-12-31 00:00:00+00:0012354.09495311.5
2020-12-31 00:00:00+00:0012521.44682011.5
\n", - "
" - ], - "text/plain": [ - " COAST hour\n", - "2016-12-31 00:00:00+00:00 11699.168426 11.5\n", - "2017-12-31 00:00:00+00:00 11930.906841 11.5\n", - "2018-12-31 00:00:00+00:00 12164.573949 11.5\n", - "2019-12-31 00:00:00+00:00 12354.094953 11.5\n", - "2020-12-31 00:00:00+00:00 12521.446820 11.5" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ercot.resample('y').mean()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "# location_generation = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - "# capacity_factor={PV: solar_houston[:8760*horizon], WF: wind_houston[:8760*horizon]}, \n", - "# scales=scales, label='site for generation', expenditure_scale_level=0, \n", - "# demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "# location_generation_max = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - "# capacity_factor={PV: solar_houston_max[:8760*horizon], WF: wind_houston_max[:8760*horizon]}, \n", - "# scales=scales, label='site for generation', expenditure_scale_level=0, \n", - "# demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "# location_generation_min = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - "# capacity_factor={PV: solar_houston_min[:8760*horizon], WF: wind_houston_min[:8760*horizon]}, \n", - "# scales=scales, label='site for generation', expenditure_scale_level=0, \n", - "# demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_generation_mean = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_mean[:8760*horizon], WF: wind_houston_mean[:8760*horizon]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_production = Location(name='production', processes= {PEM, SMRH}, price_factor={\n", - " CH4: ng_price_df[:365*horizon]}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "H2_pipeline = Transport(name= 'hydrogen', resources= {H2}, trans_max= bigM, trans_loss= 0.01, capex= 2, vopex = 0.004\n", - " , label= 'Pipeline for hydrogen transportation')\n", - "\n", - "CO2_pipeline = Transport(name= 'carbon', resources= {CO2}, trans_max= bigM, trans_loss= 0.01, capex = 1, vopex = 0.02\n", - " , label= 'Pipeline for carbon dioxide transportation')\n", - "\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.01, capex = 0.5, vopex = 0.03, label= 'Power Transmission')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [20, 45, 100],\n", - " [0, 60, 50]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Grid, CO2_pipeline], [Grid]],\n", - " [[],[CO2_pipeline], [H2_pipeline]], \n", - " ]\n", - "\n", - "# network = Network(name= 'Network', source_locations= [location_generation, location_production], \n", - "# sink_locations= [location_production, location_sequestration, location_consumption], \n", - "# distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "# network_max = Network(name= 'Network', source_locations= [location_generation_max, location_production], \n", - "# sink_locations= [location_production, location_sequestration, location_consumption], \n", - "# distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "# network_min = Network(name= 'Network', source_locations= [location_generation_min, location_production], \n", - "# sink_locations= [location_production, location_sequestration, location_consumption], \n", - "# distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "network_mean = Network(name= 'Network', source_locations= [location_generation_mean, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# # plot_location.demand_factor(resource=Power, location=houston)\n", - "\n", - "# plot_location.capacity_factor(process=PV, location=location_generation_max)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation_max)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "locset = [location_production, location_generation_mean, location_sequestration, location_consumption]\n", - "demand_dict = {i: {H2_C: 1} if i == location_consumption else {H2_C: 0} for i in locset}\n", - "\n", - "\n", - "# scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand= demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "# scenario_min = Scenario(name='scenario_min', network=network_min, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(min)', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "# scenario_max = Scenario(name='scenario_max', network=network_max, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(max)', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "scenario_mean = Scenario(name='scenario_mean', network=network_mean, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(mean)', demand=demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "casestudy = CaseStudy(name = 'casestudy', scenarios= [scenario_mean])#, scenario_max, scenario_min, scenario])" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[scenario_mean]" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.scenarios" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "inventory_zero = {i: {(LiI, Power): 25} if i == location_generation_mean else {(LiI, Power): 0} for i in locset}" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.core:Implicitly replacing the Component attribute Exp (type=) on block unknown with a new Component (type=).\n", - "This is usually indicative of a modelling error.\n", - "To avoid this warning, use block.del_component() and block.add_component().\n" - ] - }, - { - "ename": "RuntimeError", - "evalue": "Cannot add component 'Exp_index' (type ) to block 'unknown': a component by that name (type ) is already defined.", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mRuntimeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[33], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m casestudy\u001b[39m.\u001b[39;49mformulate(constraints\u001b[39m=\u001b[39;49m{Constraints\u001b[39m.\u001b[39;49mCOST, Constraints\u001b[39m.\u001b[39;49mINVENTORY, Constraints\u001b[39m.\u001b[39;49mPRODUCTION,\n\u001b[0;32m 2\u001b[0m Constraints\u001b[39m.\u001b[39;49mRESOURCE_BALANCE, Constraints\u001b[39m.\u001b[39;49mNETWORK, Constraints\u001b[39m.\u001b[39;49mDEMAND, Constraints\u001b[39m.\u001b[39;49mTRANSPORT}, objective\u001b[39m=\u001b[39;49mObjective\u001b[39m.\u001b[39;49mCOST)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\components\\case_study.py:88\u001b[0m, in \u001b[0;36mCaseStudy.formulate\u001b[1;34m(self, constraints, objective, write_lpfile, gwp, land_restriction, gwp_reduction_pct, model_class, objective_resource, inventory_zero)\u001b[0m\n\u001b[0;32m 65\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mformulate\u001b[39m(\u001b[39mself\u001b[39m, constraints: Set[Constraints] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, objective: Objective \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 66\u001b[0m write_lpfile: \u001b[39mbool\u001b[39m \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m, gwp: \u001b[39mfloat\u001b[39m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, land_restriction: \u001b[39mfloat\u001b[39m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 67\u001b[0m gwp_reduction_pct: \u001b[39mfloat\u001b[39m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, model_class: ModelClass \u001b[39m=\u001b[39m ModelClass\u001b[39m.\u001b[39mMIP, objective_resource: Resource \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 68\u001b[0m inventory_zero: Dict[Location, Dict[Tuple[Process, Resource], \u001b[39mfloat\u001b[39m]] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Dict[\u001b[39mstr\u001b[39m, ConcreteModel]:\n\u001b[0;32m 69\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"formulates a pyomo instance for all scenarios in a case study\u001b[39;00m\n\u001b[0;32m 70\u001b[0m \n\u001b[0;32m 71\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 85\u001b[0m \u001b[39m Dict[str, ConcreteModel]: Dictionary of pyomo instance\u001b[39;00m\n\u001b[0;32m 86\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m---> 88\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mformulations \u001b[39m=\u001b[39m {i\u001b[39m.\u001b[39mname: formulate_casestudy(scenario\u001b[39m=\u001b[39mi, constraints\u001b[39m=\u001b[39mconstraints, objective\u001b[39m=\u001b[39mobjective,\n\u001b[0;32m 89\u001b[0m write_lpfile\u001b[39m=\u001b[39mwrite_lpfile, gwp\u001b[39m=\u001b[39mgwp, land_restriction\u001b[39m=\u001b[39mland_restriction,\n\u001b[0;32m 90\u001b[0m gwp_reduction_pct\u001b[39m=\u001b[39mgwp_reduction_pct, model_class\u001b[39m=\u001b[39mmodel_class, objective_resource\u001b[39m=\u001b[39mobjective_resource,\n\u001b[0;32m 91\u001b[0m inventory_zero\u001b[39m=\u001b[39minventory_zero) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mscenarios}\n\u001b[0;32m 93\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mformulations\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\components\\case_study.py:88\u001b[0m, in \u001b[0;36m\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 65\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mformulate\u001b[39m(\u001b[39mself\u001b[39m, constraints: Set[Constraints] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, objective: Objective \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 66\u001b[0m write_lpfile: \u001b[39mbool\u001b[39m \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m, gwp: \u001b[39mfloat\u001b[39m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, land_restriction: \u001b[39mfloat\u001b[39m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 67\u001b[0m gwp_reduction_pct: \u001b[39mfloat\u001b[39m \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, model_class: ModelClass \u001b[39m=\u001b[39m ModelClass\u001b[39m.\u001b[39mMIP, objective_resource: Resource \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m 68\u001b[0m inventory_zero: Dict[Location, Dict[Tuple[Process, Resource], \u001b[39mfloat\u001b[39m]] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m Dict[\u001b[39mstr\u001b[39m, ConcreteModel]:\n\u001b[0;32m 69\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"formulates a pyomo instance for all scenarios in a case study\u001b[39;00m\n\u001b[0;32m 70\u001b[0m \n\u001b[0;32m 71\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 85\u001b[0m \u001b[39m Dict[str, ConcreteModel]: Dictionary of pyomo instance\u001b[39;00m\n\u001b[0;32m 86\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m---> 88\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mformulations \u001b[39m=\u001b[39m {i\u001b[39m.\u001b[39mname: formulate_casestudy(scenario\u001b[39m=\u001b[39;49mi, constraints\u001b[39m=\u001b[39;49mconstraints, objective\u001b[39m=\u001b[39;49mobjective,\n\u001b[0;32m 89\u001b[0m write_lpfile\u001b[39m=\u001b[39;49mwrite_lpfile, gwp\u001b[39m=\u001b[39;49mgwp, land_restriction\u001b[39m=\u001b[39;49mland_restriction,\n\u001b[0;32m 90\u001b[0m gwp_reduction_pct\u001b[39m=\u001b[39;49mgwp_reduction_pct, model_class\u001b[39m=\u001b[39;49mmodel_class, objective_resource\u001b[39m=\u001b[39;49mobjective_resource,\n\u001b[0;32m 91\u001b[0m inventory_zero\u001b[39m=\u001b[39;49minventory_zero) \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mscenarios}\n\u001b[0;32m 93\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mformulations\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\formulate.py:285\u001b[0m, in \u001b[0;36mformulate\u001b[1;34m(scenario, constraints, objective, write_lpfile, gwp, land_restriction, gwp_reduction_pct, model_class, objective_resource, inventory_zero, demand_sign)\u001b[0m\n\u001b[0;32m 281\u001b[0m constraint_uncertain_resource_demand(\n\u001b[0;32m 282\u001b[0m instance\u001b[39m=\u001b[39minstance, demand\u001b[39m=\u001b[39mdemand, scheduling_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level)\n\u001b[0;32m 284\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(scenario\u001b[39m.\u001b[39mlocation_set) \u001b[39m>\u001b[39m \u001b[39m1\u001b[39m:\n\u001b[1;32m--> 285\u001b[0m generate_transport_vars(instance\u001b[39m=\u001b[39;49minstance)\n\u001b[0;32m 287\u001b[0m \u001b[39mif\u001b[39;00m Constraints\u001b[39m.\u001b[39mCOST \u001b[39min\u001b[39;00m constraints:\n\u001b[0;32m 288\u001b[0m constraint_process_capex(instance\u001b[39m=\u001b[39minstance, capex_dict\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mcapex_dict,\n\u001b[0;32m 289\u001b[0m network_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mexpenditure_scale_level, capex_factor\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mcapex_factor, annualization_factor\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mannualization_factor)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\publication\\../../src\\energiapy\\model\\variables\\transport.py:38\u001b[0m, in \u001b[0;36mgenerate_transport_vars\u001b[1;34m(instance)\u001b[0m\n\u001b[0;32m 34\u001b[0m instance\u001b[39m.\u001b[39mCap_F \u001b[39m=\u001b[39m Var(instance\u001b[39m.\u001b[39msources, instance\u001b[39m.\u001b[39msinks, instance\u001b[39m.\u001b[39mtransports,\n\u001b[0;32m 35\u001b[0m instance\u001b[39m.\u001b[39mscales_network, within\u001b[39m=\u001b[39mNonNegativeReals, doc\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mestablished capacity of transport mode\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 36\u001b[0m instance\u001b[39m.\u001b[39mExp_F \u001b[39m=\u001b[39m Var(instance\u001b[39m.\u001b[39msources, instance\u001b[39m.\u001b[39msinks, instance\u001b[39m.\u001b[39mtransports, instance\u001b[39m.\u001b[39mresources,\n\u001b[0;32m 37\u001b[0m instance\u001b[39m.\u001b[39mscales_scheduling, within\u001b[39m=\u001b[39mNonNegativeReals, doc\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mresource transported through mode between locations\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m---> 38\u001b[0m instance\u001b[39m.\u001b[39;49mExp \u001b[39m=\u001b[39m Var(instance\u001b[39m.\u001b[39msources, instance\u001b[39m.\u001b[39msinks, instance\u001b[39m.\u001b[39mresources,\n\u001b[0;32m 39\u001b[0m instance\u001b[39m.\u001b[39mscales_scheduling, within\u001b[39m=\u001b[39mNonNegativeReals, doc\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mtotal resource transported between locations\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 41\u001b[0m \u001b[39mreturn\u001b[39;00m\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py:610\u001b[0m, in \u001b[0;36m_BlockData.__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 601\u001b[0m logger\u001b[39m.\u001b[39mwarning(\n\u001b[0;32m 602\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mImplicitly replacing the Component attribute \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 603\u001b[0m \u001b[39m\"\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m (type=\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m) on block \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m with a new Component (type=\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m).\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 607\u001b[0m \u001b[39m%\u001b[39m (name, \u001b[39mtype\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcomponent(name)), \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname, \u001b[39mtype\u001b[39m(val))\n\u001b[0;32m 608\u001b[0m )\n\u001b[0;32m 609\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdel_component(name)\n\u001b[1;32m--> 610\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49madd_component(name, val)\n\u001b[0;32m 611\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 612\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 613\u001b[0m \u001b[39m# The incoming value is not a component, so we set the\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 620\u001b[0m \u001b[39m# generated while setting the value.\u001b[39;00m\n\u001b[0;32m 621\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 622\u001b[0m \u001b[39mtry\u001b[39;00m:\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py:1078\u001b[0m, in \u001b[0;36m_BlockData.add_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1067\u001b[0m val\u001b[39m.\u001b[39m_name \u001b[39m=\u001b[39m name\n\u001b[0;32m 1068\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 1069\u001b[0m \u001b[39m# We want to add the temporary / implicit sets first so that\u001b[39;00m\n\u001b[0;32m 1070\u001b[0m \u001b[39m# they get constructed before this component\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1076\u001b[0m \u001b[39m# components.\u001b[39;00m\n\u001b[0;32m 1077\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[1;32m-> 1078\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_add_implicit_sets(val)\n\u001b[0;32m 1079\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 1080\u001b[0m \u001b[39m# Add the component to the underlying Component store\u001b[39;00m\n\u001b[0;32m 1081\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 1082\u001b[0m _new_idx \u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_decl_order)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py:870\u001b[0m, in \u001b[0;36m_BlockData._add_implicit_sets\u001b[1;34m(self, val)\u001b[0m\n\u001b[0;32m 863\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39madd_component(\u001b[39m\"\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m_index_\u001b[39m\u001b[39m%d\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m (val\u001b[39m.\u001b[39mlocal_name, ctr), tset)\n\u001b[0;32m 864\u001b[0m \u001b[39mif\u001b[39;00m (\n\u001b[0;32m 865\u001b[0m \u001b[39mgetattr\u001b[39m(val, \u001b[39m'\u001b[39m\u001b[39m_index_set\u001b[39m\u001b[39m'\u001b[39m, \u001b[39mNone\u001b[39;00m) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m 866\u001b[0m \u001b[39mand\u001b[39;00m \u001b[39misinstance\u001b[39m(val\u001b[39m.\u001b[39m_index_set, _SetDataBase)\n\u001b[0;32m 867\u001b[0m \u001b[39mand\u001b[39;00m val\u001b[39m.\u001b[39m_index_set\u001b[39m.\u001b[39mparent_component()\u001b[39m.\u001b[39mparent_block() \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m 868\u001b[0m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(val\u001b[39m.\u001b[39m_index_set\u001b[39m.\u001b[39mparent_component(), GlobalSetBase)\n\u001b[0;32m 869\u001b[0m ):\n\u001b[1;32m--> 870\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49madd_component(\n\u001b[0;32m 871\u001b[0m \u001b[39m\"\u001b[39;49m\u001b[39m%s\u001b[39;49;00m\u001b[39m_index\u001b[39;49m\u001b[39m\"\u001b[39;49m \u001b[39m%\u001b[39;49m (val\u001b[39m.\u001b[39;49mlocal_name,), val\u001b[39m.\u001b[39;49m_index_set\u001b[39m.\u001b[39;49mparent_component()\n\u001b[0;32m 872\u001b[0m )\n\u001b[0;32m 873\u001b[0m \u001b[39mif\u001b[39;00m (\n\u001b[0;32m 874\u001b[0m \u001b[39mgetattr\u001b[39m(val, \u001b[39m'\u001b[39m\u001b[39minitialize\u001b[39m\u001b[39m'\u001b[39m, \u001b[39mNone\u001b[39;00m) \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m 875\u001b[0m \u001b[39mand\u001b[39;00m \u001b[39misinstance\u001b[39m(val\u001b[39m.\u001b[39minitialize, _SetDataBase)\n\u001b[0;32m 876\u001b[0m \u001b[39mand\u001b[39;00m val\u001b[39m.\u001b[39minitialize\u001b[39m.\u001b[39mparent_component()\u001b[39m.\u001b[39mparent_block() \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m 877\u001b[0m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(val\u001b[39m.\u001b[39minitialize\u001b[39m.\u001b[39mparent_component(), GlobalSetBase)\n\u001b[0;32m 878\u001b[0m ):\n\u001b[0;32m 879\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39madd_component(\n\u001b[0;32m 880\u001b[0m \u001b[39m\"\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m_index_init\u001b[39m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m (val\u001b[39m.\u001b[39mlocal_name,), val\u001b[39m.\u001b[39minitialize\u001b[39m.\u001b[39mparent_component()\n\u001b[0;32m 881\u001b[0m )\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\pyomo\\core\\base\\block.py:1007\u001b[0m, in \u001b[0;36m_BlockData.add_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1002\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[0;32m 1003\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mAttempting to declare a block component using \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1004\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mthe name of a reserved attribute:\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m\\t\u001b[39;00m\u001b[39m%s\u001b[39;00m\u001b[39m\"\u001b[39m \u001b[39m%\u001b[39m (name,)\n\u001b[0;32m 1005\u001b[0m )\n\u001b[0;32m 1006\u001b[0m \u001b[39mif\u001b[39;00m name \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__dict__\u001b[39m:\n\u001b[1;32m-> 1007\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mRuntimeError\u001b[39;00m(\n\u001b[0;32m 1008\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mCannot add component \u001b[39m\u001b[39m'\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m (type \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m) to block \u001b[39m\u001b[39m'\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m: a \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1009\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mcomponent by that name (type \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m) is already defined.\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m 1010\u001b[0m \u001b[39m%\u001b[39m (name, \u001b[39mtype\u001b[39m(val), \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mname, \u001b[39mtype\u001b[39m(\u001b[39mgetattr\u001b[39m(\u001b[39mself\u001b[39m, name)))\n\u001b[0;32m 1011\u001b[0m )\n\u001b[0;32m 1012\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 1013\u001b[0m \u001b[39m# Skip the add_component() logic if this is a\u001b[39;00m\n\u001b[0;32m 1014\u001b[0m \u001b[39m# component type that is suppressed.\u001b[39;00m\n\u001b[0;32m 1015\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 1016\u001b[0m _component \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mparent_component()\n", - "\u001b[1;31mRuntimeError\u001b[0m: Cannot add component 'Exp_index' (type ) to block 'unknown': a component by that name (type ) is already defined." - ] - } - ], - "source": [ - "casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 3276629 rows, 3460591 columns and 6767873 nonzeros\n", - "Model fingerprint: 0x19cac044\n", - "Variable types: 3460533 continuous, 58 integer (58 binary)\n", - "Coefficient statistics:\n", - " Matrix range [3e-05, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+06]\n", - "Presolve removed 3175836 rows and 3386071 columns (presolve time = 5s) ...\n", - "Presolve removed 3175836 rows and 3386071 columns\n", - "Presolve time: 5.40s\n", - "Presolved: 100793 rows, 74520 columns, 276097 nonzeros\n", - "Variable types: 74520 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 9.5860094e+06 5.495000e+02 2.023901e+09 8s\n", - " 4297 4.6773128e+09 0.000000e+00 4.560348e+08 8s\n", - " 22198 1.7690850e+08 0.000000e+00 8.686376e+09 10s\n", - " 27657 1.6279881e+08 0.000000e+00 3.670530e+08 15s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 1.573322e+08, 43577 iterations, 10.27 seconds (16.45 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.573322e+08 1.5733e+08 0.00% - 17s\n", - "\n", - "Explored 1 nodes (43577 simplex iterations) in 18.06 seconds (22.85 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.57332e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.573321651604e+08, best bound 1.573321651604e+08, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = casestudy.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_dict = {i.name: solve(scenario=i, instance=milp_dict[i.name], solver='gurobi',\n", - "# name=f\"results_master\", print_solversteps=True, saveformat = '.pkl') for i in [scenario, scenario_max, scenario_min, scenario_mean]}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "157332165.16042262" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_mean'].output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "17960.292826532263" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_mean'].divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_mean'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='generation', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_mean'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='sequestration', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_mean'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='production', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_mean'], y_axis='P', component='PEM',\n", - " location='production', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_mean'], y_axis='S', component='H2(C)',\n", - " location='consumption', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2kAAAHtCAYAAACDNjZBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAADBq0lEQVR4nOzdd3gU5doG8Ht3syW994QklBB6ky69t48mIqg0Cx577+WgIMcjyjnHgwUpIop6RIogIF2UJtJCLyEhCekhvWf3/f6Iu2azJW2T2ST377q4jFOf2Z2ZnWfemeeVCSEEiIiIiIiIyC7IpQ6AiIiIiIiI/sIkjYiIiIiIyI4wSSMiIiIiIrIjTNKIiIiIiIjsCJM0IiIiIiIiO8IkjYiIiIiIyI4wSSMiIiIiIrIjTNKIiIiIiIjsCJM0IiIiG7p586bUIbQImZmZKCgokDoMIqIGYbMkrbi4GKtWrcL48eMRHBwMjUYDjUaDoKAgDBo0CI899hjWrVuHhIQEW60SADBv3jzIZDKjf/Zm7969JjF+8cUXNl+PPX4W33//PYYNGwZPT0+o1WqEhoZi7Nix+Pzzz6UOzazw8HCTz7DqP6VSiaCgIEyZMgXbtm2TOmSiJm3VqlUmx9jBgweNpomLi7N6TP7973+v8fpKS0sxZswYeHt7Y/v27Sbjhw4danE94eHhVpddVlaGp59+GiNGjKhxPGReSEiI0Wc/dOhQk2nOnz+PyMhIs99jXRw/fhxBQUHo3bs3srOzbbLMxnTjxg1ERkYiMjISsbGxUodTY03tOoGahqZ+PAOAgy0Wcu3aNUyaNAlXrlxBSEgIZs+ejfDwcKjVaty6dQu7d+/Gxx9/jI8//hgAsH79etx33322WDUWLlyIkSNH4tdff8XKlSttskxb69y5M9avXw8AuP/++xtsPfb2WSxevBhvvPEGXF1d8fjjj6N169a4dOkSVqxYgcuXL+Ohhx6SOkQT//rXv5Cfn2/0Gb766qvo0KEDAEAIgbS0NGzdutXwb8aMGfjqq6+gUqmkDJ2o1uLi4gw3jJ5++ml4eHg0egzDhg3D+vXrkZGRgWeeecbsNL6+voZz6MqVK/Hrr78CgGFY165da7y+6Oho7N69GwDw2WefYeLEiUbjX3vtNTz44IO4dOkS3n33XQDAww8/jEGDBsHFxcXicgsKCjBhwgT8/vvv+O6772ocT3W2bNmCM2fOIDw8HPPmzbPZcu3dRx99hIKCAqPvu6oBAwZg1KhRmDx5Mv71r3/hiSeeqNc6169fj+TkZCQnJ2Pfvn2YPn16vZbX2DZt2oRr164Z/n7uuedMprG3/akpXieQtPQ35aZMmYLu3btbnK6pH88AAFFPBQUFIjw8XAAQDz30kCgpKTE73bp164RcLhcAxOeff17f1ZpYu3atACBssEkNSh/j2rVrG2wd9vBZpKenC5VKJQCIrVu3Go17+eWXRVhYmDSB1VDlz/DAgQNmp3n11VcN0zz66KONGyCRDRw4cMCwD8fGxkoaS2xsbLXHnBBCzJ07t17nt5KSEjFy5Ejh4eEhNm/ebHG6yp9NdedrnU4nJk+eLACIDRs21CkuS/TbO2TIEJsut6mobvu1Wq0YO3askMlk4ocffqjXuo4cOSICAgJEjx49RGZmZr2WJYVr166JNm3aiDZt2ohr166Zncae9qemfp1A0qjpebmpH89CCFHvxx3XrVuHuLg4uLm54d///rfF1oQ5c+Y0aCsS2Zdjx46htLQUAEweU3n55Zexb98+CaKyrbfffhtt27YFUHFHPiYmRuKIiKg6KpUKe/bsQVZWFqZMmWKTZa5duxZbt27FxIkTMWvWLJssk2pGLpfjs88+g0ajwUMPPYTMzMw6L6t///5ITk7GqVOn4OXlZcMoG0fbtm1x/fp1XL9+3fDbZM9awnUCSaepH8+ADd5J++WXXwAAHTt2hKOjo9VpZ8+eXd/VURNx+/Ztw99ubm5G49zd3dGmTZvGDsnmFAoFJk+eDADQarU2ey+CiJqOkpISvPrqqwCAl156SeJoWqZWrVph1qxZuH37NhYvXix1OFRDLeE6gag+6p2k6e9apaenVztt37598f7776Nv3771XS3ZOZ1OJ3UIjaLyjwhb0ohanu+//x6pqakIDQ3FnXfeKXU4LZb+JvAXX3yBwsJCiaOhmmgp1wlEdVXvJM3T0xNARVWh33//3eq07u7ueP7559GlSxeL0wghsGHDBowdOxb+/v5QKpXw8vJC//798dJLL+HEiRM1iuvUqVOYNm0a/Pz8oNFo0KlTJyxbtqxGJ4UDBw5gxowZCAoKgkqlgo+PD4YMGYKPPvoIJSUlVudNS0vDE088gfDwcGg0GgQHB2PWrFk4e/as1fn69etntZJVSkqKzStE5ubm4u2330aPHj3g5uYGJycntG3bFg888EC18VqirzA5f/58w7DqqqOVlZVhxYoVGDJkCHx8fAzVnWbPno3Dhw9bXU/VSpYXL17EnDlzEBoaCgcHB8O4uLi4Om1PdRQKhdF2VLV9+3ZMnToVgYGBUKvV8PPzw5gxY/D1119DCGEyvaWqclWr3S1ZsgQymQxvv/12jZZRlU6nw5o1azB8+HDDZ66vWLl161az21q18qV+H92xYwfGjBkDPz8/yOXyGlXBM6fysaNWq+Hv749JkyYZHnmpuk2WHlXbtGkTJkyYAH9/f6hUKvj7+2Ps2LH48ssvodVqTaavWs1PH/v+/fsxevRoeHl5wcnJCb169cLatWtrtC22iuHo0aOYNm0agoKCoFAoTL5PfQvuAw88gI4dO8LZ2RkajQbh4eG49957LZ6Tv/jiC8hkMgwbNswwLCIiwigGS0UFarttlcXExGDevHmGCsCtWrXCQw891GiV6Cztw/Xx7bffAjB9XKsqrVaLlStXYvDgwfDy8oJSqYSfnx9GjhyJ9957z6Rsv36fWLduHYCKp1aqOy8AQH5+PpYuXYo+ffrA09MTjo6OaNOmDR588EGcP3/ebGx13f/0UlJS8MILLxj2QRcXF3To0AFPPPEEbty4YfVzEULg888/R58+feDi4gJPT0/0798fa9assTpfVQMHDoRSqUR2djZ27dpVq3kPHjxY7e+rpd+c+lxrWHPixAnMnj0brVq1glqthouLC7p3744nnngCBw4cMPr9MFf9tGrF07ruT7xOsKy0tBT//Oc/0bVrVzg5OcHLywsDBgzAypUrIYQwOa4sFWY6ffo05s6di7CwMKjVanh6eqJv375YsmQJcnNzTab/+9//brJdcXFxiImJwdy5cxEUFAS1Wo22bdvitddeQ1FRUbXbYqsYEhIS8OijjyIiIgIqlcrsvvXHH3/gxRdfRJ8+feDh4WH4HRk3bhz+97//mY2v8j6uN3/+fLP7TU2O58qEEPjqq68M1zFqtRqBgYGYOnUqfvrpJ7PzNMR3YCm4evnggw8ML/GFhISIXbt21XlZ2dnZYtiwYQKACA0NFW+++ab4/PPPxZtvvinatWtnWM/f/vY3k3krF3rYs2ePCA0NFa+//rpYvXq1eP7554Wjo6MAIB5//HGL69dqteLxxx8XAISXl5d4+eWXxerVq8WSJUtEhw4dBADRqVMnER8fb3b+8+fPCz8/PwFAtG/fXvzjH/8Qn3/+uXj00UeFh4eH2LVrl8UXHnft2iXWr18vBg0aZPal3qKiIrF+/Xqxfv36al+arEnhkDNnzojAwEABQIwaNUp89NFHYuXKlWLevHnCwcFByGQysWzZMovzW3LkyBGxfv168fDDDxti0Me9fv16kxf1ExISRJcuXQQA0aFDB7F06VLx+eefiyeffFI4OTkJAOLZZ58VOp2u2vUcOHBA+Pj4iMcff1x8/vnn4uWXXxYajaZORRFqUjhECCH+/ve/G6ZbvHixYXhJSYmYOXOmACC8vb3FSy+9JFatWiXeeustERoaKgCIYcOGiezsbKPlrV+/Xvztb38zLPPf//63WL9+vUhJSTGarnfv3gKA6NWrl0lM69evFx999JEAIBYuXCjWr19vNP727dti4MCBRp/56tWrxYsvvii8vLwEADFjxgxRXFxsNN/mzZtN9tF//vOfIiQkRLz55pti5cqV4r777hMAav3Ct7VjR6PRGLYHgHj44YfF+vXrxcGDB42WUVxcLKZNm2Y4f/z9738Xq1evFm+++abhMx8yZIjIysoymm/37t1i/fr1YurUqYbY161bJyIiIsTixYvFqlWrxMMPPywUCoUAYPW4sGUMGzZsEL6+vuLFF18Un3/+uXjssccMMeg9/fTTAoCQy+Vi5syZ4j//+Y9Yvny5mD17tpDL5UIul4t///vfJnHGxMSI9evXGxW/Wb58udGxeuTIEZtsm97BgweFs7OzACB69+4tPvzwQ/HZZ5+JOXPmCG9vb7F58+YGLxxibh+2pCaFQ8rKyoSrq6sAIN577z2LyyorKxOjR48WAETXrl3F4sWLxeeffy4WLVokIiMjDd/hsWPHDPPo9wl9rFFRUUbfj7nzwrlz5wzfRZ8+fcQHH3wgVq5cKRYsWCAcHByEQqEQH374oUl8dd3/hBBiz549ws3NTchkMnHXXXeJTz/9VHz88cdi+vTpQiaTCbVaLb755huLn8uUKVMEAOHo6CiefPJJsWrVKrFkyRLRrl07MW/evFoVuoiKiqpTIaeUlJRqf1/N/ebs2bNHhISEGK41nnvuOcNvjrVrjeqsXbtWyOVy4e7uLp544gnxySefiOXLlxu+HwDiscceM0yfn59viN/Hx0cAEG+99ZbRMuuyP/E6wbLc3FzRr18/o+vFVatWiTfeeEMEBQWJGTNmiMGDBwsAYtCgQWL9+vXiu+++M1nO0qVLhVwuF05OTob9f9myZaJPnz6G6+ro6Gijec6ePWty/t66dasICQkRzz33nFi9erV44403hKenpwAgJk6caHVbbBXDTz/9JAICAsTcuXPFypUrxTvvvGOIQX9O37Jli2H6AQMGiPfee0988skn4sknnzScS++++26h1WqN1ld5H696LVB1v6nJ8ayXnZ0thg4davhde+utt8SqVavESy+9JLy9vQUAcc8995gURbT1d2BJvZO0jIwMw0lB/6979+7iww8/FDdv3qzxcrRarSFB69Kli8kPfUlJieECYfLkySbzV76o7tSpk7hx44bR+K+++srwQ2jpQHz99dcFABEUFGSSiBUXF4sRI0YIAOKOO+4QZWVlRuMLCgpERESEACD69esnCgsLjcYfPXrU8ONpbYepyQ9SfZO05ORk4evrKwCI119/3WT8zz//bKjEaa36mTU1SRQLCgoMye/IkSNNkoIzZ84IFxcXAUD8/e9/r3Y9bdu2FSdOnDAav3jx4gZN0vQnYQDi6NGjhuH67zEwMNBkX8rKyhKdO3cWAMSIESNMflji4+MNy/zqq69M1pmUlCRkMpkAIGQymUhMTDSZ5ptvvhEARFxcnNFwrVYrhgwZYlh31c88Pj7e8KP81FNPmd1m/bb5+/uLjh07mlRNGjlyZK2StJocO/qLe2v7vT5BNHf+qPyZmzt/CCHEW2+9JQAINzc30blzZ5PtWrRokQAgXFxcREFBQYPH0Lp1a5Pz2IMPPmh0TD322GOGC5yq9u7da0jUjh8/bnZ9tanuWJ9tS05OFh4eHgKAmDZtmigvLzcav2nTJkOS3pBJWtVl1DdJu3DhgmGajRs3WlzWp59+KgCInj17itLSUqNxpaWlht8+c9td0yQlJSVF+Pv7CwBizpw5Jhc5u3btMiRZX3zxhdll1Hb/O3funOECd9WqVSbLW7VqlQAglEql+P33303Gv/TSSwKAUKvVRgmqEEIUFhaK/v37G36rapKkTZw4UQAVNwHqqja/rx07dhQxMTFG49etW1fttYY1mZmZhsTjjz/+MBmv/0znzp1rdv6wsDCzSZpeTfcnXidYp78J6+XlJa5fv240Lj09XbRt29ZwvFn6rvTfpbOzszhz5ozROJ1OJ+6//34BVNw0qXpDVwjjc1RYWJjJMfTLL78Yxv/yyy8NHkNISIjYtm2b0Xj9tbf+3Pb9998LAOLBBx80WVZiYqLh+sNa8l/dMVrTabVarRg+fLgAIDp37mzyu1b5emjevHlml2+L78Bq/LWew4wjR44YDuaq/7p16ybeeusti+Vg9SofRL/++qvZaW7duiUUCkW1SZq5A7WkpMTwY/LJJ5+YjL969arhgFqzZo3Z9V+8eNGwjq+//tpo3D/+8Q/DOHM/RkIIQyud1Ema/qCLiIgwuVjSu/vuuwVQ0apRNYmoiZqcfPWtUAqFwuSHTk9/0WBpmsrree6550zGnz17VsydO1ekp6fXOX5LF4w//fSTYZphw4YZhh88eNAw3NLFUOUDe926dSbju3XrJgCImTNnmoz77LPPhEqlMvxAmtufZ8+eLbp06WIyfPXq1YYLiKo/LHoff/yx4TM312pc+SK56glZCCG+++47s9+FJbY4dvbt22cYv3//frPL2LFjh2Gaw4cPm4zX72uWzgFxcXGG8Tt37mzwGD766COz66j8g//YY4+JDh06mF2XEBX7AQBx3333mR1f0yStvtv2yCOPGC7Wb926ZXZ+/QW2tWNOCPtK0irfFT506JDFZelbQCwdF3v27LG43TW9qJ43b54AINzd3c1eTFVelru7u8jJyTEZX9v9T98qM3jwYItx6e/Gjxo1ymh4YmKicHBwEIDllq8//vjDEE9NkrT58+cLAMLT07PaaS2pze/rm2++aTK+pKREqNVqi+fm6mzdulUAFU9gWBIcHNzgSRqvEyw7duyYYXn//Oc/zU6zceNGwzTmvqvs7GxDy5G5/UiIiqde9NetS5YsMRlf+Rw1Z84cs8vQd5H10ksvNXgM06dPNxl/69YtMXfuXHHp0iUhREWSJpfLRXJystn1rVy5UgAVCZ8l1R2jNZ32iy++MIyv+mSOXuV9x1ySVd/voDr1ficNqChzefHiRTzzzDNwdXU1Gnf27FksWrQIkZGRmD59OuLj480uY8WKFQBg9eXroKAgDBkyxKQKUFUTJkwwGaZSqRAREQEAhs4eK1u5ciW0Wi0UCoXFDu86dOiAVq1aAQC++eYbo3H657zDw8PRu3dvs/PfddddVuNuDFlZWYZ3KO666y6jd6oqGzt2LADgypUrOHXqlM3jEELgk08+AVDxPl7r1q3NTnfvvfcCqHif47PPPrO6THPfW9euXfHFF1/Ax8enzrHm5OQgIyPD8O/SpUtYunQpZsyYAaCieMhXX31lmF6/L6tUKovf+dChQxEcHGw0fWWTJk0CAPz8888oLy83Gvfjjz9ixIgR6NOnDwBg27ZtRuPLy8uxc+dOwzIq03/mvXr1slg5S//da7Vai8+HA4CTk5Nh2sruvvtuLFu2zOJ8Vdni2NFvl5+fn8V3g0aMGAEHBwcApsdvVeY+u7CwMEMFW3PnEFvHYG5/Hj58uNGz9W+//bahwq45d9xxBwBY7Ay4puqzbeXl5diwYQOAiveGgoKCzM5vD+fH2rp165bhb/372ebo39U7cuSI2XeVBgwYgD179qBbt251iiM7O9vwGU+cOBHu7u5mp9OfT3NycvD1119bXWZ1+9+FCxcM+9XMmTMtLkd/jti7dy8yMjIMw7/++mvDue3uu+82O2+vXr1q9X6r/jvIysqq+zsgtWDuPKFSqQy/Z+bOE9XR7yu3b9/GxYsXzU6zZcsWvPjii7Vedk3xOsE6/W8WYHnfnThxItRqtcVlfPXVV8jLywNg+fjx9PQ0/M7X5TcLqLhuBczvi7aOwdxnGxQUhC+++AJRUVEAgPHjxyMuLg4BAQFml6H/zUpMTGywWgJ6+muv4OBgDBkyxOw0d911l6FrMXPXapXV5TuojkOt57DAx8cHH374IZYsWYLt27djy5Yt2LFjB7KzswFUHGybNm3CL7/8ggMHDhgVD8nJyTEc4D179rS6npr0m9GuXTuzw/Uvbebk5JiMO3DgAICKJLG0tNTox6QyPz8/xMfHGxUwuX37Ni5dugQAVns/79SpU7WxN7TDhw8bClxERERY3E4XFxfD3ydOnECvXr1sGseFCxeQmpoKAFaX3a5dO7i5uSE3N9fwHVmiPxBszVKBCnd3dzz55JNYtGiR0QvB+jijoqLg7Oxscbk9e/bErVu3cPLkSeTl5Rnd4Jg0aRIWL16M7Oxs/Prrr4YCD4WFhdi3bx8+/PBDZGVl4dixY9i/fz8KCgoM6/rtt9+QlZVlcsKofJxFRkZa/O4r/7BYK9TTrl07w0V5Xdnq2NG/lBwVFWW1nyRvb2+kpqZa3S4PDw+LP9YeHh4oKioyew6xZQzu7u4IDAy0OF6vat8vxcXFKCgoMBQVUCqVACoKO9RHfbbt3LlzhhfP7f38WFsFBQWGvy31EQpUJKc//vgjjh49ipEjR+LVV1/F8OHDIZdX3Cd1cnLCyJEj6xzHb7/9Zuhvytr5tPK4AwcO4G9/+5vZ6Wqy/1U+H4eFhVk8n+gTRiEE/vjjD8OFfeViD9XtFzW9WKv8HRQUFFTbLVB91eVaozq9e/eGSqVCaWkphg8fjtdffx333Xef0W+M/kK2ofA6wTr9vuvh4YGwsDCz0+iLRly4cMHseH2cSqUSPj4+Fj9j/W/RxYsXUVhYCCcnJ7PT1ee611Yx1OSzdXJyMpq/rKwM+fn5ZotOpaSk1KkIWU3k5ubi5MmTAKzvWy4uLmjfvj3OnTtX7b7VEOcDmyVpeo6OjpgxYwZmzJiB8vJy7N69G5999hm2bdsGIQQyMzMxd+5co7sucXFxhruLlu6y1kbV1jw9/Qm8assE8Ff59Li4OPj6+la7jvT0dAghIJPJjKpyWfths3antbFULhP/6KOP4tFHH612Hv1JsqHi0LcoWRIUFITc3NxqS9xX18JaV8uWLTO6w60/oUVFRZncYdS3ugHVb5d+vFarRVxcnNGNi969eyMgIAApKSnYtm2bIUnbvXs3iouLMWnSJGRlZeG1115DcXExdu/ejalTpwKoaFnz8/Mz3P3Sq3ycff3119XeSQesf/e2+LxtcexU/swPHTpUo+PX2nZZOn8Als8hto6hNp/tr7/+in//+984dOiQxa5QqqtKa019t63yBba9nx9rq7i42PC3PiE258knn8SOHTsMNykPHDiAgIAATJkyBdOnTzdK2OqipudTLy8vaDQaFBcXWz2f1mT/qzz/xIkTaxSnuf3C0dHRYssfULv9ovJ30BgtaXW51qhOSEgIPvjgAzz99NNITU3FE088geeeew4jRozA1KlTMX369AbvmJfXCdbp993qbmRY23f1cZaVlcHf37/adep0OqSnp1tMCutz3WurGGr62cbFxeH999/Hzp07rVb2rXx+tbXY2FjD9VBNrtXOnTuH9PR0kxvqlTXE+cDmSZrRwh0cMH78eIwfPx4HDx7EhAkTUFhYiNOnT+PcuXOGi9L8/HzDPBqNpt7rrcuPnT6Gtm3bGprXq6NP0irfTbUWv6VHBhpT5c/67bffRv/+/audpyHuZNTmO9ePN1cGtrL6XORY06tXrxqX6q7LdgGm2yaTyTBhwgSsXr0a27Ztw4cffgig4lHHHj16ICQkBCEhIQgLC8PNmzfx448/GiVpEydONPk8Ksc2ffp0PPLII9Vuj7WLJ1t83rY4dipv18CBA01KT5tjrdWjPuePxo7hH//4B1555RUAwLhx4zBlyhS0atXK0MK5e/duvP/++zValiX13bamdH6srcrbY64LjsrT7du3D2vXrsWKFStw5swZpKSk4NNPP8Wnn36K8PBwLF26FPfcc0+d4qjteae4uNjq+bQm+1/ldX722WcWH0WrTP/IE/DXflFdvLXZLyp/Bw3digY03G/O448/jr59++KDDz7A5s2bUVpaip07d2Lnzp144okn8PDDD+Pdd981asmyJV4nWGeLfVe/bS4uLti8eXON1mvtccz6/G41Zgz79+/HpEmTUFhYiI4dO2L58uVo3bq1oXUtNTUV9913X41iqY/6XKtZSsYa4nzQoElaZUOHDsVTTz2FpUuXAgAuX75sSNIqb3BDZs7WuLq6IisrCwqFotaPnVQ+UVqLv7o+hGqivn2vVP6s27VrV69HbGwVR3XfuX68tYTBXtRluwDz2zZp0iSsXr0a169fx+XLlxEZGYnt27cbPaI0ceJErFixAj/99BN0Oh2uXbuGa9eu4Z///KfV2Hx8fCT77iuzxbFTebtcXFwk2S4pYjhz5gxeffVVABUXdR999JHJNImJifVeT323rTHPj42t8uPM+scNLVEoFHjwwQfx4IMP4sKFC/juu++wfv16xMXFIS4uDrNmzUJhYSEWLFhQ6zikOJ9WXmfXrl3Rr1+/Ws2v3y+qi7c2+0Xl78Dao+ZNQe/evfHtt98iOzsbmzdvxtdff439+/ejpKQEH330Ec6ePWvoD8rWeJ1gnYuLC3Jycuq17+q3raysTPLPt7FiKCkpwb333ovCwkL06NEDx48fN3kCoaHfQ9Oz5bVaQ6p32rds2TIEBARU+wMFwOgkrn9nAqh45lmfgSYlJdU3pDpp27YtgIqLmsqx1URYWJjhRJmcnGxxuqysrGqXpb8DbqlZtLq7RNXRbycAi0VcGkPlOKr7zvXjLRW6sCdubm6Gx8Gq2y590QGFQmH28YGRI0ca3g/bvn07jh49ivT0dKN3zfR/p6en49ixY9i2bRvUajVGjRplsrzKx5mU331ltjh2Kn/mUm2XFDFs3LjRcK568sknG2w99d22ynfY63t+rK3i4mIcPHiwwX74Kz8mU5v4O3XqhLfffhsxMTFYt26d4TjXJ921VdPzaVZWluGCo77n0/r+luj3C0vveOrV5nPVT6vvxLs58PDwwPz587F3716cP38ePXr0AFDx6HFtO+2uKV4nWKffd62dzwDr+65+20pKSpCWlmaz2GqjsWP49ddfDe9H/+1vf7P6iHhDq03eob9W8/Pza7DWa0vqnaTl5+cjNTUVN27cqHbayq1AoaGhhr9dXV0NL8LqX+SzZOHChbj77rtt3uKmf+enoKAA58+ftzjdsWPH4ODgYHSh7OnpiY4dOwKo6LXdEkuVmirTP9OrL7hS1dWrV6tdhjUDBgwwPIp0/Phxq9OOHz8eDg4OVgsc1FWHDh0M1X2sfefXr183JKb678je6eO8fPkyCgsLLU6nfy/zjjvuMNt87uzsjOHDhwOoeITxxx9/RFBQkNFLrkOHDjWcNH788Uf8+OOPGD58uNm7yJWPsxMnTlhtlX3vvffg4OBQqyqNdWGrY0f/mV+9etXqD+N3330HBwcHPPHEE3WI1rrGjqHyj6qlZ+orP9JhTk3vwtdn2zp37my4+1jf82NtpaSkYNiwYUYVMW2p8ovi1i5yVq9eje+++85kuFwux5w5cwxJdmpqqsl7hTX5jiqf162dTyuPq+/5tPL81f2WdOrUCSqVyui9pcpVnG21X+g/u8oX903N6dOn8frrr5t9fLZjx45GlYStXatYUtv9idcJpvT7bnZ2tsUbQKWlpVbfj6vp8ZOUlAS1Wo2uXbvWLVgrGjsGW/xm2UpN846CggJcuXIFgDTXoDZ7gNLcD1BV+rs+3t7eJqW2H3vsMQAVLVmWykWfPXsWK1euRFJSkk3eXats4cKFhueHrf2gr169Glqt1uTdgblz5wKoKIRg6WT1ww8/VBtHZGQkAODGjRtmW9O2b99e7TKs8fDwMJSr3bVrl8WXfW/evIndu3ejTZs2DVJJSiaTGR7bO3r0qMWXR/VlpRUKBR5++GGbx9EQ9C9Zl5SUWPzODx06ZLg7o9/3zdHfDDh8+DC+++47TJw40ehHVq1WY/To0QCAb7/9FkeOHLFYBrbyujIyMvDTTz+Znaa8vBzr1q2DTCYzdDPQkGxx7Og/c61Wa3QRU9WqVavMHr+20NgxVH5p3dLNm+rKYletsqW3bNkyREVF4cyZMwDqt20ODg6Gc86RI0cs3rWsyfnR3kRGRhpusFi7Ubl+/XqrNzz036VCoTC5U6v/jqpetA8cOBDjxo0DYHxe3759u8UnLvTnU3d3d8P0ddWhQwfDRcu3335r8cbp4cOHcfHiRQwZMsSoOMHs2bMNT458//33Zuc9ffq01cICVekvii115dEUnD17FkuWLLF4TFc+7itXfKyp2u5PvE4wpf/NAizvuz/99JPVxoR7773XcPPK2jXn2rVrUVpaarWbi7pq7Bhs8ZsFmN+HDx06hKioKKxcubLG8dQk7/jhhx8MTwrWpICOzdW6Z7Uq9J0IajQasWPHDovTbdiwwdBx5X//+1+T8ZV7/u7atatJR5sFBQWid+/eAhY6kq1Jp4hDhgyx2LGgEH91mqhSqcS+fftMxn///fdCJpOJnj17irKyMpP4IiIiBADRv39/UVhYaDT+999/Fy4uLtV2wnfjxg0hk8kEAPHtt98ajYuJiRGdOnWqVWeb5qSkpAh/f38BQEyYMEEUFxcbjc/NzRUDBgwQAMQPP/xgdhnVqcn3UVhYKDp06CAAiNGjR4uSkhKj8dHR0YaOFhctWlTn9dQ3fmsd61qi71g2ODhYJCQkGI3LyckRXbt2FQDEiBEjrHYCGh8fb4gDFjqPrhwrALMdUOtVPs7CwsJEYmKiyfinnnpKABBPPvmk2WXUtDPUmqrJsdOqVatq93v9Z+7h4SHOnTtnMv6DDz4QAMT//d//mZ1ffy4LCwuzGGt1HcU2Rgx6Z86cMZwrxo8fb3JOOnLkiOGca+n4yMzMNCxj7969huHjxo0TAIw6nq7PtiUnJwsPDw9Dh6dVO8fdunWrUCqVNTrmatOZdWxsrNnvy1adWQshxIQJE6x2ZCrEX789W7duNRlXUlJi6PB58uTJJuOXL18uAIjQ0FDDsOTkZCGXy8Xo0aMNwyqf1+fPny+0Wq3Rcvbs2WPYH9atW2c2ztrsf0IIcfHiReHk5CQAiIcffthknSkpKaJt27bCwcFBHD9+3GT+l19+WQAQarVaHDt2zGhcUVGRGDhwoCHm6s43xcXFhn1o48aNNYrfnPr+vgpR/bWGNfrl33XXXSafpxBC/Otf/xIAhKOjo9mO4as7R9Vlf+J1gql77rlHABBeXl4mHWhnZGSI9u3bC29vb6v7QeXOlL/88kuT8YcPHxZqtVqEhoaa7aC+8jkqNjbW7DqqO9c1Rgx6xcXFIjAw0HBtlJaWZjQ+LS3N0PGztd+Bbt26CQDi9ddfNwx77733BACxYcMGo2mtHc9V846q25eYmCiCg4MN51RzbPEdWFPvwiFBQUFQKpUoLi7G+PHjMWTIEIwcORJBQUEQQiAhIQG7d+/G0aNHoVAo8NZbb5ltOZDL5di0aROmTJmCgwcPokuXLliwYAGCg4Nx8+ZNrFu3DgkJCXj77beNOtCNjo5GdHQ0jh49ahimv9M7depUODs7Y8+ePUhNTTXcDbpx4wa++uoruLi4GPWB9eabbyI3NxcffvghRo8ejdmzZ2PgwIEoLCzEoUOHsGXLFrRr1w6bNm0y6R/KycnJUCr96NGj6NmzJ+bPnw9vb2+cPn0aa9euxfvvv2/Y9qNHj8LBwQFhYWEYNGiQYTkRERF49NFHsWLFCixYsAAnT55Ehw4dEBsbi3Xr1mHt2rUYMWKE0TJat26NAQMG4OjRo4iJiTH7WQwYMMBQfcvf3x979+7F+PHj8dNPP6Fr1664//77ERAQYHhHIiUlBUuWLMG0adNqtT9Yi6HydwJUVN/avXs3xo0bh927d6NHjx6YM2cOfHx8cO7cOaxatQoFBQV45pln8MYbbxitx9r3XvV7rY0tW7YgPz/faLl79uwxFGAYNWpUjUrVfvrppygqKsJ3332H7t2746GHHkK7du2QmJiI1atXIz4+HkOHDsUPP/xg9fGT0NBQdO/eHWfOnIGjo6Phu69swoQJkMvl0Ol06N69u9GjxFVZOs6ioqKQkpKCLVu24OTJk/i///s/k+Ij+uNI32KQmppq+MzbtGlTowpg5lR37GzYsAHffvstxowZY3U5lT/zPn36YN68eejRoweysrLw888/Y//+/ejXr5/JHUP9PhsdHQ2g4vEG/Xbpq0zp9wt9Va/o6Gh89dVX8Pf3N3r/ryFiqLoOvW7duuHNN9/EokWLsGPHDvTs2RMzZ840Oue0bt3acMey6nkRqCjJPmHCBGzfvh3PP/88Fi5ciIsXL2LXrl0YM2aMUZcodd02AAgICMDmzZsxceJE/PDDD+jfvz9mz54NZ2dnQyvxsmXL8NRTTwH465jr2LEjevbsidzcXMMd0sr9DlX3OG7VRzP136O5fbjq74W+/z799+Pg4GD23HLPPffgp59+stqHjr61berUqZg6dSr69esHDw8P3Lp1C9988w2uXLmC9u3b4+OPPzaZd/r06Xj11VeRkJCAhx9+GD179sSXX34JnU6H+fPnG6arfF5fu3YtLl68iJkzZ8LFxQXHjx/HunXrIITABx98gDlz5hitoy77H1DRmvbTTz9h2rRpWLlyJU6ePImZM2fC3d0dly9fxpo1a1BUVIRVq1aZdAkCAO+88w4uXbqErVu3YtiwYXjooYfQtWtXpKWl4YsvvoC/vz9mzJiBb775xui7uueee0x+g/V9e7m7uxtahGoqNTUVe/bsMflMHBwcDNtvy2sNa/QtqRs3bkTnzp0xY8YMhIaGIjc3F4cOHcK2bdugVCqxevVqw/FZUFBgqM5X9RxVdd112Z94nWBq5cqViIuLw7Fjx9C7d28sXLgQbdu2xc2bN7F69Wo8/PDD2L9/P3755ReLy5g7dy4yMzPx4osvYs6cOdi0aRNGjhwJnU6HEydOYMOGDfDx8cGPP/5oVLDixo0bOHLkiNE5asuWLfDx8TFco+g/Y3PnusrVExsihqrr0FOr1VizZg2mTJmCW7duoWPHjnjwwQcRERGB2NhYrF692qjbAv3vQOXrVwC4//77cfbsWXzyySfw9PREaWkp/vGPf8DPzw8TJkyo0fEMmF4Pde3aFQ888ABCQkJw7do1rFq1ChkZGZg5cyY+/fRTo+XZ8juwqtZpnRm3b98WX3/9tVi4cKHo16+f8Pf3F2q1WiiVSuHt7S369u0rXnjhBXHp0qVql6XT6cRXX30lRo8eLXx9fYWDg4Pw8/MTkydPFvv37zeZXn/nz9w/fVarv6tV9Z+lu4WHDx8Ws2bNEiEhIUKlUglXV1fRp08f8d5774mCggKr8aemporHH39ctGrVSqhUKuHn5ycmTJhgaJmrGsP06dNNlqHVasX7778vOnbsKNRqtfDx8RFTp04VZ86cMbuMe++9VwhhfIe56j9zdxHy8vLE0qVLRe/evYWbm5tQKpUiJCREzJo1Sxw9etTqdlpiLYbK30llJSUl4r///a8YNGiQ8PT0FCqVSgQHB4t77rlH/Pbbb2bXY+17r+ldYHP0dyEt/attq9q2bdvE5MmThb+/v1AqlcLHx0eMGjVKrF+/3moLWmVvvPGGACAmTZpkcZr+/fsLAOKNN96o0TLNHWc+Pj5i9OjRJnei9CwdR6jjHeOqqh47gYGBYubMmeLMmTNCp9MZ1rV+/Xqry9m+fbuYMmWKCAgIEA4ODsLDw0MMGjRIfPLJJyatTUJY32f1LO0Xlu6M2TKG6u6+bdu2TYwaNUp4eHgYzpfjx48X27ZtM2llNXcMZmZmivnz5xv20YiICPHkk0+avWtal22rLCYmRsydO1cEBgYavuO7775bnDp1ytDqVfnfc889J4QQZsfV5p++VcHa8V3d74Wlc0txcbGhxeHw4cNmt7u8vFxs375dPPjgg6Jz587C1dVVKBQK4eHhIQYMGCCWLVtm9bflwIED4s477xROTk7CxcVF9OzZ0+Jxqj+v33HHHcLNzU2o1WoRHh4uFixYYLYFVIj67X9CCJGeni5effVV0aVLF+Hs7CxUKpVo3bq1ePDBB8WFCxeszqvT6cTKlSvFHXfcIZycnISrq6vo3r27eO+990RpaanZ2PLy8kyW8+CDDwoA4umnn6423qoq3w23tP0Nca1hyaVLl8Rbb70lBg8eLPz8/ISDg4PQaDSiffv2YuHCheLixYtG01s7Psytuy77E68TTJWUlIj33ntPdO7cWWg0GuHl5SWGDRsmNm/eLIQQYvDgwQKAeOCBB6wu5/z58+KBBx4QERERQq1WCycnJ9GtWzfx2muviYyMDJPpzZ3Xq16j1OR3raFisLQOvXPnzol7771XBAYGCgcHB+Hu7i769+8v/vOf/4grV66YLKvq9atWqxXvvPOOaNOmjVAqlSIgIEBMnTpVXL16VQhRs+O5Mp1OJ9avXy9Gjx4tfHx8hFKpFP7+/mLy5Mlmn15qqO/AHJkQtSxlSETUyHJzcw138X766SeMHz9e4oiI/rJmzRo88MADmDRpEn788Uepw2lxEhISEBUVBY1Gg6tXr8Lb21vqkIjQs2dPnD59Gi+88ILZbnGIqtMwPTESEdXC2bNnkZmZaXH8tWvXDH937ty5MUIiqrH58+fj//7v/7Bt2zZ8++23UofTouh0OixcuBBFRUVYuXIlEzRqFDdu3LDatYcQwlDIhr9ZVFdM0ohIcmPGjMGSJUssjte3TnTv3h2tWrVqrLCIakQmk2HDhg0YNGgQFixYUO8qvFQzZWVleOCBB7Br1y4sX74c06dPlzokaiFeffVVq+/iHTx4ELm5uVCr1dW+T01kCZM0IrILX3zxhdky5tHR0Vi+fDkAYPHixY0dFlGNODs7Y+/evXjggQfw9NNPSx1Oi3DkyBHs2rULW7ZsMRSdIWosp0+fNhRsqSw7OxvPPPMMAODJJ5+sUbExInP4ThoRSS4wMBApKSlwd3fHnDlz0KFDB8jlcvzxxx/46quvUFJSgmXLluHZZ5+VOlSiasXGxiIiIkLqMJq9jIwMqNVqQ/VMosYya9YsfPvtt1AoFJgxYwb69u0LNzc3XL16FV9++SWSk5Nx1113YcOGDVAqlVKHS00UkzQiktzNmzfx1VdfYf/+/bh06RIyMjIgl8sRGBiIIUOG4Mknn0TPnj2lDpOIiAg5OTn47rvvsHPnTkRHRyMpKQnl5eXw9vZG7969MX/+fEydOtVqFztE1WGSRkREREREZEfq3Zk1VU+n0yEpKQmurq68q0JEREREzYYQAnl5eQgKCoJcznIXtsIkrREkJSUhNDRU6jCIiIiIiBpEQkICQkJCpA6j2WCS1gj0LzUnJCTAzc2t0dev0+mQnp4OX19f3uGgOuE+RPXB/Yfqi/sQ1Rf3oYaTm5uL0NBQFvGxMSZpjUD/iKObm5tkSVpxcTHc3Nx4YqI64T5E9cH9h+qL+xDVF/ehhsdXemyLeykREREREZEdYZJGRERERERkR5ikERERERER2REmaURERERERHaESRoREREREZEdYZJGRERERERkR5ikERERERER2REmaURERERERHaESRoREREREZEdYZJGRERERERkR5ikERERERER2REmaURERERERHaESRoREREREZEdYZJGREQtSmm5VuoQiIiIrGKSRkRETcKJ62l45/uT9VpGuVaHSUt34XpyDl766piNIiMiIrItB6kDICIiqontJ+ORU1hidZr84jIoFXKolQqz43ecioe7kwqPrfoNagfepyQiIvvEXygiIrJ7V5Oy4apRws1RZXW6VXsv4dDFZLPjyrQ6bPvjJtY8NhQLhrfHHW39UFzGRx+JiMj+MEkjIiK7JoTA53svYd6w9lane2n9Mew8nYAbablmxx+5nIJJd4TBRaPEzIFtEeLtjFuZBQ0RMhERUb0wSSMiaiGy8q0/KmiP1h24gk3HY9Ep1As+bhoAFUlbVcWl5UjLLcK79/ZBkpnEa190IjYfj8WIrsGGYa18XBCXlov84rKG2wAiIqI6YJJGRNQClGl1uGf5XsSn50Gr00kdTo2Ulmux79wtrNxzCRN6tQIAuGiUKCgpN5l2//kk3D84Er1a+5qM0+oE/rn1LPKKyuCsVhqGh/q4YPn2c3j0818bbiOIiIjqgIVDiIhagCOXUzCiSzA2/HYdBSXleOee3lKHVK3FG09hSp9wjO8VBs2fhUC8XTXIyC2Gi+avZEsnBPacTcR79/c1u5w/YtIw6862mNYvwmh4uK8ryrQ6RPi5obhMa1gHERGR1NiSRkTUAuw7dwtzhkTiwPkkpGUXSR1OtUrLtcgtLMXkPuFGyZOPqxqZecVGjzz+dikFPSJ8oHL4a7rK438+k4ipfSNMio6olQrseG08wnxckJJV2IBbQ0REVDtM0oiImrmEjHx4uqjh7+GIHhE+CPZ2RomdVzX89WIyxvYIhUJu/DPl7arBmv2X8eulFMOwPdGJmN7/r1Yy50qPRCZnFcJJ7QB3J/NVIRVyGQI8nbDws0O4dZtFRIiIyD4wSSMiauZ2nI7HxF5hkMlk+Md9feHn7oiMvGKpw7Lq4IUkDO0UZDLcx02DxMwC3EzPAwDEpOQiwMPR6F0zD2eVoUjKTydvYuKf77NZ4u/hCKAimSUiIrIHTNKIiJqxkjItbqbno12gu2GYt6sax66m4o+YdAkjs+xGai4CPJ2gUZm+Nh3h54a37r4DyX8+nvjZnov4vzvCjabxdtXg9W9+x56ziYhJzUX7IA+r6+sR4YNXpvZAeq79PwZKREQtA5M0IqJm7NdLyRjcIcBomK+rI1buuYQjV1IszCWtHafiMaFnmNlxaqUCPVv7IK+4DEcup8BVo0Soj4vRNC4aJTLzSrDsx7MY0jEQMpnM6vrkMhnC/VyRnmPfrYtERNRyMEkjImrGzD026O2mgZeLGum5xTgTl4G8IvvpJ6yotBypOUUI93OtdtptJ2/ixSndTYYP6xyEDU+PgLPaAUM7B5vOaIavmwZpbEkjIiI7wSSNiKiZupGai0Azjw12aeWFr58eAQiBj3acR/TNTIkiNHXgfBKGmXkXrarryTlo5eMCtZmy+SoHBdycVNj04pgal9V31ihRaKb/NSIiIikwSSMiaqasPTYol8mQ9ufjfbFpeY0ZlkVCCPx2KRl3Vnk805wFw6MwvV/rRoiKiIio8bEzayKiZqiotByp2YVWHxt8ZVoP6ITA1hNxEEJU++5WQ7uSlIPW/m5G/Z1ZMqpbSCNEREREJA22pBERNUMHzidhWDXvY4X7uSLczxXZ+SUYu3gHiiXuO23HqZsY19N6ufyG5KCQo0yrk2z9REREekzSiIiamdo8NiiXyXA+4TYAIC27sKFDsyivqAx5RWUI9nKWLAYPZxVyCkolWz8REZEeH3ckImpmribnIKKGjw0CQICHEzqFeiGnULoEZW90IkZ2lfYRRg8nNbILSuDjppE0DiIiIrakERE1MztOxmN8j5o/NrjioUFoG+iGbImSNCEEjl1LRd92fpKsX8/bVc0y/EREZBeYpBERNSP5xWXILihBsHftHht0d1JJ1pJ2Lv42OoV4wUEh7U9S51Ze+OlkvKQxEBERAUzSiIialX11fGzQ3Um697F2norH2B6hkqy7slY+LigsKYdWJ4yG64uJpOUU4UpSNvZGJ0IIYW4RRERENsF30oiImgkhBI5cTcWSWX1qPa+7k1qSlrSs/BKUaQX83B0bfd1VyWQydAjxQGJmPsJ8/+q64OFPf8H9gyNx5Eoqfr2UDKCiQ3B/DyepQiUiomaOLWlERM3EhYQsdAj2rNNjgx7O0jzuuPn3WIzrKX0rml5kkAeib97GhT8rXqbnFqGVtwsOnL+FwpIyeDqrMXNgG6Rk8901IiJqOEzSiIiaiR2n4jGujo8NapQKFJeW2zgi63IKSxGfno9erX0bdb3WdA71wic/X8CzXxyFEAL3/Xs/pvdvjd+vp2NIpyB8unAQ2vi7IYMFRoiIqAExSSMiagZyCktRXKat8yN4MpkM2YWlOHghycaRWbb7TIJdtaIBFRUetTqBO6MCsPn3OEzs1Qpdw7xx76B2GNopCB7Oavi4aZCcVWjy7hoREZGtMEkjImoGdp9NwOhu9etnLCYlF0s3nbZRRNbphMAfN9JxRxtpy+5XJZPJsO2VsejZ2gef7b6IB0Z0AADMGRoJtbKi3zlfN0esP3QNm4/HShkqERE1Y0zSiIiaOJ0Q+ON6Onq3rV/C87/nRjVaX2WnbmSge7gPFHJZo6yvNlQOCrTycUHHEE84qU3ra3m5qOHv7oj84jIJoiMiopaASRoRURN3JjYT3cK9653wOKkd0Fgp067TCRjb3b4edaysS5g3ls8fYHacg0KOjx8ehNTswkaOioiIWgomaURETdyu0/EYY6OERy6XofzPfsEaSnpuERwUMni6qBt0PQ3JWe2AgpLGLbRCREQtB5M0IqImLDOvGADg7aqxyfI8nP/qLy36ZiZKyrQ2WW5lO08lYFyPVjZfbmOSyezvMU0iImo+mKQRETVhP59JwFgbJjwezirczi+BVqfD+1vPIiY112bLBoByrQ4XEm+ja5iXTZdLRETUnDBJIyJqorQ6gbNxmege4W2zZXo6qxGXlocPfoyGr5sGCRn5Nls2ABy7mop+7fybRUuUDIAQLMNPRES2xySNiKiJOnE9DXe08YXchgmPp4saa/Zfxo3UXMwZGokUGxfH2Bt9C6Pq2VWAvXDWKPleGhERNQgmaURETdTus4k2T3g8ndUI8nLGpwsHo42/O1Kzi2y27Fu3C+DupIKLRmmzZUrJ3VmFmJRctqYREZHNMUkjImqCUrMLoVEq4OFs2wqJkUHueHZSVwCAi8YB+cVl2H/ulk2WveNUAsb3atoFQyrzdFbjxfXHEJeWJ3UoRETUzDBJIyJqgnaeTsC4nrZPeFQOCgR7OQOoqGB4OjYDK3ZdqHdrUWm5DnHpeWgf5GGDKO1Dl1ZeaOXjghs2Lq5CRETEJI2IqIkp1+pw6VYWOod6Nvi6HFUO6BHhg18uJNerRe1EbBYGRQXYMDLpdQjxxGvTeyKWLWlERGRjTNKIiJqYo1dTMSCycSok/u+5Uejd1hdLN5/G/vN1T9KOxdzG0E6BNozMPoT6OCMhs8DQXx0REZEtMEkjImpi9kbfwoiujVchsW2AGwDAWV23gh/XU3Lg76aGRuVgy7DsgkIux+28Yjy15rDUoRARUTPCJI2IqAm5lVkAj0aukNgmwB0/vjwWxaV1Kze/6XgcRnXys3FU9uNqcg6EAAqKy6QOhYiImgkmaURETciO0/GSVEhUKxV1mi8zrxhanYC/u8bGEdmPtY8NxdDOQXzkkYiIbIZJGhFRE1FarkVsai4iA92lDsWq3MJSQ6vb9pM3MaFnqMQRNawgL2f4uGqQkVcidShERNRMNL8XBIiImqnfLqXgzg6BjVIwxBy5XAatTgeF3Pr9vVe+Po7ebf1QrtXh+6M3cN+gsUhPT2+kKKXh7aphSxoREdkMW9KIiJqAlOxC7IlOxLDOQZLF4O6kQnZBqdVpTt3IQIi3C87EZeD7ozfwr/kDJEsqG5O3qxppOUW4mJgldShERNQMMEkjImoC5n50AJl5xXCUsEKip7PaapKWX1yGV74+jll3tsWlxGx8OK8/OoQ0fF9u9sDXzRE7TsfjmbVHpA6FiIiaASZpRER2Li4tDyO7BuODuQMkjcPDWYXsghKUa3Vmx++NTsTrd/VEuJ8r5g6NRMcWkqABFY87arUC3SO8oROixvPdul3QgFEREVFTxSSNiMjO7TgVj2l9W8PVsfHK7pvj4azGV4eu4YUvj5mME0Lg6NVU9I/0BwDMHtSuRTzmqKeQy/DpwkEI9HBCRm4xSsu11c5zLTkHC1YcbPjgiIioyWkSSVpcXByeeeYZdO3aFZ6entBoNGjbti0eeeQRxMbGWpzvypUruO+++xAYGAiNRoM2bdrghRdeQE5OjtX15eTk4MUXX0Tbtm2h0WgQGBiI++67D1euXLH1phERWVVcpsWt2wVo82eH0lLydFEjPiMPDgrT5Ou+/+yHxkEBB0WT+FlpEB7Oavi5O+LDbdFYvPGU1WmLSsvxxYErCPR0aqToiIioKbH7X9P9+/ejY8eOWLFiBWbNmoVDhw7hzJkzePbZZ/HNN9+ga9euOHbM9K7uwYMH0aNHD/zxxx/44osvcOnSJbz++uv49NNP0bNnTyQnJ5tdX3JyMnr27IlPPvkEr732Gi5duoQvvvgCf/zxB3r06IGDBw828BYTEf3llwtJGNpJumIhlQV5OuPeQe1M3ou7lpyDkjItXp/RS6LI7IenixqnYzOg1Vl/5HHz8ViUlGkR7usKrc7846NERNRy2X2S9swzz6CoqAgvvvgiXnnlFXTp0gVRUVF49NFHsWzZMuTn52PhwoVG82RnZ2PGjBkQQmDHjh0YM2YMIiIiMH/+fHz22We4ceMG5syZY3Z9c+bMwY0bN/DZZ59h/vz5iIiIwJgxY7Bjxw7odDrMmDGj2pY4IqKaOBObgfTcIqvTHLqYjMEdAxspIut83DSY1q815DIZNvx6DYUlFX2h/XgiDv9eMBDKFtyKptfG3w2PjO4ItVJh8ZFHrU6Hszcz8c85/eDmpEReUVkjR0lERPbO7n9Rr127BgDo37+/yTj9sOjoaGRmZhqGf/TRR8jIyMDkyZPRunVro3nuueceBAUFYe/evTh8+LDRuF9//RV79+5FUFAQ7rnnHqNxrVu3xtSpU5GRkYH//ve/Ntk2Imq5hBB46avj2Bt9y+I015NzEOLtDLVS0YiRVU8AWHfwKpKzCpFbVIq8ojIEezlLHZZdiAzywNS+EQjydEJyVqHZaY5fS0Pftn6Qy2Rwc1Qht9B6twZERNTy2H2S1q1bNwDAxYsXTcbph8lkMmg0GsPw77//HgAwYsQIk3nkcjmGDx8OAPjuu++MxunnGzp0KORmOmsdOXKk2fmIiGpDCIGxi3dgYHt/q9X9dpyOx4SerRoxsppxVjuga5gX0nKKsOdsIkZ3D5E6JLsT7O2MZ784arbS4+4ziRjZreIzc3dSIYdJGhERVSFdhzs19Mknn2DixIlYvHgxwsPDMXHiRCgUCvzyyy949tlnAQBDhgyBs3PFXdyCggJcuHABABAVFWV2mfrhJ06cMBp+/PjxGs134cIFFBUVwdHR0ex0JSUlKCkpMfx/bm4uAECn00EnwbsHOp0OQghJ1k3NA/ch2zoffxt3tPbBY2M74d87zpv9XAtLypGeU4QQb2e7+9yf/7+u+P16GlKzC3H8WhqWzLrDaowtcf9p5e2M/OIypGQVIMDjr+Igt24XwNVRCRe1A3Q6HdwclcgqKGlRn01dtMR9iGyL+1DD4WfaMOw+SevevTuuXLmC5cuXY8GCBSgoKIBMJjPsEN26dcOaNWsM08fGxhrGBQQEmF1mYGDF+x0xMTFGw/X/X918Op0OsbGx6Nixo9npli5dikWLFpkMT09PR3FxscVtbSg6nQ45OTkQQphtISSqDvch2/rhyA3M7huCssIcFBeX4N3vf8eDQ8KNpjlwKR09Q12QlpYmTZDVUJQXYefJOPQI80BmRobVaVvi/uOtAuYPaoXTVxPRK9zDMHzjsQQMaOP11/daVoSErFKkebWMz6WuWuI+RLbFfajh5OXlSR1Cs2T3SVpWVhbmzZuH7du347nnnsOMGTOgVqtx6NAhpKSk4LnnnoOn518dpupbrQBYbOlycqq4q1m1AIh+3urmMzdvZa+88oqhlU+/3NDQUPj6+sLNrfHLaOt0OshkMvj6+vLERHXCfch2lm8/hxsZxejQuuJxt0vJp1GuFXh+ai+oHCrePRNCIHrfTbw1o6dhmL1xdC1DbMZFLJ7dF16uGqvTttT9p2uZCidvpMPPzw8AUFKmRXrBTfTtFGGYJqxcjbSYNMM0ZF5L3YfIdrgPNZzKrxyR7dh1kiaEwNixY/H777/j1VdfxZIlSwzjunbtis2bN6NDhw5YvXo1JkyYIGGkxtRqNdRqtclwuVwu2YlBJpNJun5q+rgP1V+5VoeU7EJ8+vAgw+c4pFMQSsu0yCooQ6BnRWfVl29lo42/GzQqaTuvtsbNSYUFw6Pg416zfr5a4v4T7ueGLb/HGbb518u3MLRzkNFn4OmiRk5hWYv6XOqqJe5DZFvchxoGP8+GYdef6v79+/H7778DAJ577jmT8VOnToWbmxumTJmC06dPA4BRS1VRkfnS1oWFFRW33N3djYbr561uPnPzEhFV5+jVVNwZFQBnzV/J1/P/1w1tAtxwO/+vR6F3nLqJcXZYMKQymUyGmQPbSB2GXXNSO6Co7K8y/AcvJGNIR+M+79yd1cguKIUwU2CEiIhaLrtO0k6ePAkA8Pf3h5eXl9lpoqKiUF5ejlWrVgEAIiIiIJPJAAApKSlm59F3ZN2mjfEFhv7/q5tPLpcjPDy8FltCRC3dwfNJWLzxFEZ2Na2E6Omixu38imJD+cVlyClkSfvmQvbnf68kZSPc18WkOwWNUoFfLyXjne9PNn5wRERkt+w6SdPTJ13m6JtYExMTAQDOzs7o1KkTAODy5ctm59EP7927t9HwPn361Gi+Tp06Gb2fRkRUnQPnb+HVaT2MWtH0vFw0yPozSdsXnYiRXYMbOzxqIA4KOZ5acxjrDlzBhF5hZqfxd3dEmZbV0YiI6C92naRFRkYCqGjZslSo48qVKwCMKzLOmDEDALBv3z6T6XU6Hfbv3280XdX5Dh48aLac6N69e83OR0Rkza3MAni4qDGkU5DZ8Z7OFS1pQggcvZqG/pH+jRwhNZTp/SIQ7OWMG6l5FltHv3xyuNWbkURE1PLYdZI2evRo+PtXXKz85z//MRm/a9cuQ+vW9OnTDcOfeOIJeHt7Y+vWrYiNjTWa59tvv0VSUhKGDx+OQYMGGY0bPHgwhg0bhqSkJJMOq2/cuIHNmzfD29sbTzzxhE22j4hahu2nblrtlNrbVY3MvGL8djkFUcEecFDY9amZaqFTqBdenNId3zwzQupQiIioCbHrKwEnJyd8/fXXcHZ2xttvv43Fixfj8uXLiI2NxerVq3HfffcBqEjKRo8ebZjP09MT//vf/wAA48aNw+7duxEbG4u1a9di4cKFCA8Px/r1682u86uvvkJ4eDgefvhhrF27FrGxsdi9ezfGjx8PmUyG//3vf/Dw8GjwbSeipkGrE/jnljNIyzFfcKikTIub6fmIDPKwuAxXRxV2n03E4o2nMK5HaANFSlKqrqVMJpNBq2PxECIiqmDXJfgBYMSIETh79iyWL1+O9evXY8mSJdBqtfD19cWgQYPw0EMPYfz48SbzDR8+HKdPn8bbb7+NOXPmICsrC8HBwXj44YfxxhtvWEy0goKCcPr0aSxevBiLFy/GI488Ak9PTwwfPtxQ8p+ICAB+v5aGVfsu4WZ6PkZ3C4Gfu2kfi4cuJmNIx0Cry1HIKy7g37u/L/w9+L5rS+TprEJ2QQm8q+lzjoiIWga7T9KAiqqL//3vf2s9X1RUFDZs2FDr+Tw8PLBs2TIsW7as1vMSUcux60wCSst16BHhY6jOWNXBC0l4Y0avapf1/XOj4OaksnWI1ET4ujkiPbeISRoREQGw88cdiYjsVUp2IRxVCnzx+DDcc2cbZBWUGPV1BgDXk3MQ4u0MTZWy6+YwQWvZfNw0OBt3G8Wl5VKHQkREdoBJGhFRHew8FY/xfxYD8XLRIDmrEH9b+avRe0U/nYq3WHadqDJfN0es2X8Z+87dkjoUIiKyA0zSiIhqqUyrw9XkHHQM8QQAeLmose2Pmygt1yE9t6KASEFJGW7nFaOVj4uUoVIT0SXMC4+P64RUCwVoiIioZWGSRkRUS0cup2BAe39DxT5ntQPevucO3DuoHZJuFwIA9kXfwvAu7JSaakapkGN0t1DcyiyAEKzySETU0jFJIyKqpX3njBMwmUyGvu38EeTlhNScQgghcORKKgZEBUgYJTU1aqUCJeVaTH7vZxQUl0kdDhERSYhJGhFRLcRn5MPbVQNntdJknJeLBln5JTifkIWoYA8o2Sk11dKJ6+mQyyr2MyIiarmaRAl+IiJ7seNUPCb8WTCkKi8XNW7nl2DnqXjMG9a+kSOj5uD+we3g4qhEclYhOvz5ziMREbU8vM1LRFRDxWVaJGTko22gu9nxHs4qxKXlobRca7Zja6Lq3DckEh1CPJF0u0DqUIiISEJM0oiIaujQxSQM6RRocbzKQYFz8bcxpntoI0ZFzU2gpxOSsgqlDoOIiCTEJI2IqIYOXkjG4I5BVqfp3MoLvdr4NlJE1By5OaqQz8IhREQtGt9JIyKqgWvJOQj1doZGqbA63Qdz+zdSRERERNRcsSWNiKgGdpyKx4ReYVKHQS2ERqlAGju2JiJqsZikERFVY8Ov13A+/jZa+bhIHQq1EO0C3XH/f/ZLHQYREUmESRoRkRXlWh3WHbyKewe3kzoUakHu6t8afdr5QasTUodCREQSYJJGRGTF8WtpeGR0RwztZL1gCJEtyWQyhPm4YPn2aKzcc1HqcIiIqJExSSMismLP2USM7BoidRjUArULdMees4lIZjl+IqIWh0kaEZEFyVmFcHFUwtVRKXUo1AJ1CvXCnCGRfOSRiKgFYpJGRGTBzlPxGN+zldRhUAvl46bhu5BERC0UkzQiIjPKtDpcS8lBh2APqUOhFs5BIUeZVid1GERE1IiYpBERmXHkcgr6R/pDJpNJHQq1cN6uatzOK5Y6DCIiakRM0oiIzNh/7hZGdAmWOgwi+LhqkMEkjYioRWGSRkRURWJmPjxc1HDWsGAISc/HVYP0XCZpREQtCZM0IqIqdrBgCNkRHzdHZDBJIyJqUZikERFVUlquRVxaHiID3aUOhQhARZXHz/deQnZBidShEBFRI2GSRkRUyS8XknFnh0AWDCG74eumAQAkZORLHAkRETUWJmlERH8q1+qw41Q8hnUOkjoUIgOVgwIvTenO4iFERC2Ig9QBEBHZg+0nb0KrExjaOQiOKp4ayb54OKtxMz1P6jCIiKiR8EqEiFq8cq0OH+04D7lMhh9eGC11OEQm3J1UyCkslToMIiJqJEzSiKhFEUIAgNE7Z0evpqLdn4VCnNQ8LZL98XBWsXAIEVELwqsRImpRfjgWCz93RwzuGGgYti/6Fv5xX18+5kh2y91JhVy2pBERtRgsHEJELYZOCOw8FY/krELDsFuZBXB3VsFFo4RCzoqOZJ8cFHKU64TUYRARUSNhkkZELcapGxnoHOaFzEpV8rafuomJvcIkjIqIiIjIGJM0Imoxdp9JwOw72xqStJIyLW6m5xveRyOyZ2znJSJqOZikEVGLkJlXDJlMBn8PJ5RpdQCAQxeTMaTSu2lE9kwhl6H8z32XiIiaNyZpRNQi7DqdgDHdQwH81SLxy8UkDOnEjqupaXB3VrMMPxFRC8EkjYiaPa1OIPpmJrpHeBuGxaTkINjLGRqlQsLIiGrO3UmF7AImaURELQGTNCJq9v6IScMdbXwh/7NvNEe1A74/egMTeraSODKimmOH1kRELQeTNCJq9vacTcSobiGG/1crFbiWnINWvq4SRkVUOx7OKuQUskNrIqKWgEkaETVbQggkZxVCqZDDw1ltGO7lrMbk3uHSBUZUB+5Oaj7uSETUQjBJI6Jm67fLKZj33wMY28P4sca5w9rj/5ikURPj6azCxqM3pA6DiIgagYPUARAR2drFxCys2XcZmfnFeO/+vuga5iV1SET11srX1agjdiIiar7YkkZEzUpOYSl2nIzH5VvZGN+jFbqH+0AmYzfA1PQp5DIMjApAablW6lCIiKiBMUkjomZDJwSeXP0b8orL8NbdvTC5T7jUIRHZlJuTCrmFZVKHQUREDYxJGhE1G6duZMDfwwlT+4ajd1s/qBzYBxo1LyzDT0TUMvCdNCJqNnadTsArU3vA00Vd/cRETZCboxJ5xUzSiIiaO7akEVGzkJ5bBAeFjAkaNWsujkrkFfFxRyKi5o5JGhE1Cz+fTsDYHqFSh0HUoFw1KuQXM0kjImrumKQRUZOn1elwLuE2uoV5Sx0KUYNyZUsaEVGLwCSNiJq849fS0LetH0vtU7PHJI2IqGVgkkZETd6es4kY2S1E6jCIGlxFksbCIUREzR2TNCJq0pKzCuGsUcLNUSV1KEQNzkXDljQiopaASRoRNWk7T8VjfM9WUodB1ChUDgqUa3VSh0FERA2MSRoRNVllWh2up+SgQ7CH1KEQERER2QyTNCJqsg5fTsGAqAAWDKEWRUgdABERNTgmaUTUJGl1Ouw8FY/hnYOlDoWoUZWW65CQkS91GERE1ICYpBFRk/TTyXi4O6ngpHaQOhSiRpWcVYAHP/lF6jCIiKgBMUkjoiZHCIGjV1PxwpTuUodC1Og+/9sQ9Iv0lzoMIiJqQE0mSSsoKMDSpUvRu3dveHh4wMnJCa1bt8bkyZPx2WefmZ3n+PHjmDJlCnx9feHo6IhOnTph8eLFKCkpsbqu5ORkPPLII2jVqhXUajVatWqFRx55BElJSQ2xaURUS5dvZaONvxuUiiZzCiOyGZWDAkLwzTQiouasSVzhXLt2DZ06dcKmTZvw2muv4fTp0zh16hQef/xx/Pzzz3jnnXdM5tmwYQMGDhyI1NRUbNq0CefPn8eCBQuwaNEiDBo0CPn55p/nv3jxIrp06YKtW7di+fLluHz5MpYvX44tW7aga9euuHjxYkNvLhFVYwfL7hMREVEzZvcvcxQUFGD06NHw8/PDoUOHoNFoDOOioqJQXFyMjRs3Gs0TExODBQsWwNvbGzt37oSHhwcA4LnnnkNJSQlee+01PPPMM/j888+N5isvL8f06dORmZmJw4cPY8CAAQCAiIgIBAQE4M4778Rdd92F6OhoODjY/UdH1CzlFZUhr6gMQV7OUodCJBmZTAatTkAhZ2VTIqLmyO5b0pYuXYq4uDgsXrzYKEHTe/XVV3Hq1CmjYe+++y5KSkowf/58Q4Km99hjj0GtVmPNmjWIj483GvfNN9/g8uXL6Nu3ryFB0xs4cCD69euHS5cu4bvvvrPNxhFRre07l4gRXVnRkVo2dycl8opKpQ6DiIgaiF0naVqtFmvWrIFarcbw4cNrPM+mTZsAACNGjDAZ7+7ujt69e0On05m0wH3//fcW5wOAkSNHAgCTNCKJ6AuG9GfRBGrhPJ3VuJ1v/f1qIiJquuz6mb3z588jOTkZ7du3R25uLt577z1s27YNKSkp8PT0xKBBg/DCCy+gU6dOhnmuXr2K7OxsABWPQ5oTFRWF3377DSdOnDAafvz48WrnA2AyX1UlJSVGxUlyc3MBADqdDjqdzuq8DUGn00EIIcm6qXmwl33ofPxtRAV5QC6D5LFQzdnL/tOceDirkJlXhHBfF6lDaRTch6i+uA81HH6mDcOuk7To6GgAQFFREXr16oUuXbrgk08+gY+PDw4dOoRXXnkF3377Lb7//ntMmjQJQMX7aHoBAQFmlxsYGGgybX5+PtLS0mo0X0pKCgoLC+Hk5GR2uqVLl2LRokUmw9PT01FcXGx1mxuCTqdDTk4OhBCQy+268ZTslL3sQ1uOxWJaryDDsUpNg73sP82JvLwY8clFCHVpGVUeuQ9RfXEfajh5eXlSh9As2XWSlp6eDgCIj49Hjx49sGXLFsOB1alTJ4SHh2P8+PG47777EBMTAx8fH0OrlUKhgFKpNLtcfXKVk5NjGKafDwAcHR2tzqef11KS9sorr+DZZ581WnZoaCh8fX3h5uZW7Xbbmk6ng0wmg6+vL09MVCf2sA/lFJYCciU6tgmVZP1Ud/aw/zQ34cUOuHIrG35+flKH0ii4D1F9cR9qOOZqRlD92XWSVlhYaPj78ccfNzmoxo0bh8jISFy9ehXr1q3Dc88919ghmqVWq6FWq02Gy+VyyU4MMplM0vVT0yf1PrTvXBJGdQvlPtxESb3/NDdeLhrEpOahsFQLF435G5LNDfchqi/uQw2Dn2fDsOtPtXKLVseOHc1O06tXLwDA77//DgCGliqtVouysjKz8+iTP3d3d8Owyi1cRUVFVuerOi8RNSwhBE7EpKFPO1+pQyGyC14uahy8kITdZxOlDoWIiBqAXSdp+nfAAMDLy8vsNK6urgCArKwsAECbNm0M41JSUszOk5ycbDKti4uL4bGR6uYLCAiw+KgjEdne2ZuZ6BLqBQXv1hEBAJzUDogMdAe7SSMiap7s+oqnR48ehr9TU1PNTqMf7unpCQCIjIw0tHJdvnzZ7Dz64b179zYa3qdPnzrNR0QNa9fpBIzpwXfRiPRkMhmemdQVWSzDT0TULNl1ktahQwdERkYCAM6ePWt2mosXLwKAofNphUKBadOmAQD27dtnMn1OTg5OnDgBuVyO6dOnG42bMWOGxfkAYO/evUbTEVHDyy4oQblWB1838wV9iFoqD2cVsgvZoTURUXNk10kaALz22msAgE8++QTl5eVG43bs2IFr167B29sbc+fONQx/9dVXoVKpsHbtWqMKjgCwYsUKlJSUYN68eQgLCzMaN2vWLERGRuL48eM4cuSI0bgjR47g2LFjaN++PWbNmmXLTSQiK34+k4gx3dmKRlSVi0aJ/CLz714TEVHTZvdJ2pw5c/DQQw/h4sWLmDZtGk6cOIGbN29i/fr1mDt3Ltzc3LBx40Z4eHgY5mnbti1WrVqFjIwMjBs3DocPH8aNGzfwwQcf4K233kKvXr3wr3/9y2RdSqUSP/zwA7y8vDB9+nRs2rQJcXFx2LRpE6ZPnw4vLy9s3LgRDg52XRSTqNnQCYFTseno2ZoFQ4iqUjkoUKZlJ7JERM2R3SdpALBy5Up8++23yMvLw6hRoxAZGYm33noLM2bMwJkzZzB06FCTee6//34cPnwYvr6+mDx5Mjp27IhVq1bhjTfewG+//WYoOFJV586dER0djUmTJuGpp55C+/bt8dRTT2HSpEmIjo5G586dG3hriUjv9I0MdAvzhoLVEYiIiKgFaTJNQjNnzsTMmTNrNU+/fv2wdevWWq8rODgYK1eurPV8RGRbP59JwMLR5rvfICIiImqumkRLGhG1PJl5xZDJZPB21UgdChEREVGjYpJGRHbp5zMJGN09ROowiOyaQi5DOd9LIyJqdpikEZHd0eoEzt7MRI8IH6lDIbJrLhol8otZ4ZGIqLlhkkZEdudkTDp6tfaFXMaCIUTWuDupkMu+0oiImh0maURkd3afTcDobnzUkag6bk4qpOUWSx0GERHZGJM0IrIL8Rn5yC4oQVpOEZQKOTyc1VKHRGT33J1UeG3D78hhaxoRUbPSZErwE1HztnrvJfSN9EdmXjHG9mgldThETULbAHe4aByQnFUIdyeV1OEQEZGNsCWNiCTzj82ncSkxC2k5RSgsLcflW1k4n3AbXcO8pA6NqEloE+CGh0d1REZukdShEBGRDTFJIyJJ5BeX4cD5JMSk5mLX6QTcNzgSu88komeED2QsGEJUYz5uGmTk8b00IqLmhEkaETWaP2LScflWFgBg95kE3DOwDTJzi3EhsaL1bMVDgzDpjnBpgyRqYnxdNchg8RAiomaFSRoRNZpvfruOkzEZyMwrxvpD1zCuZyvsOpOAPm39IJPJ0CbADU5qvipLVBs+bo5IZ5JGRNSsMEkjokYRl5YHf3dHxKXnYfvJm3hlag94u2pwO78Eo7qy3D5RXTmpHVBYWo5vfrsudShERGQjTNKIqFHsOBWP6f1ao6C4DBcTs9C7rS+UCjlem94TbqxKR1QvZ2Iz8PWhayjT6qQOhYiIbIDPFRFRgysu0+LW7QK0CXBDSbkOQzoGGoqDDO4YKHF0RE3fgPYBUCrkuJVZgHA/V6nDISKiemJLGhE1uF8uJGFIp4pkbFyPUIzoGixxRETNyyvTeqB7hDdupOaipEwrdThERFRPTNKIqMEdupiMwR2DAAAju4bAWa2UOCKi5ifc1xUf/3wBT689InUoRERUT0zSiKhBxaTkINjLGRqlQupQiJq1QE8n5BWVwc2RN0GIiJq6WiVpb7/9NgoLCxsqFiJqhn46FY/xPVtJHQZRs+ekdsDiWb2h5g0RIqImr1ZJ2qJFi1BQUNBQsRBRM1NUWo70nCIWMiBqBDKZDL3b+kkdBhER2UCtkjQhBMaOHYs33ngDhw8fhk7HUr9EZNmB80kY2ilI6jCIWhQntQMKisukDoOIiOqh1u+kzZw5ExcvXsSECRPg4+ODu+++G2vWrEFSUlJDxEdETdhvl5IxiCX2iRqVt6sGmfklUodBRET1UOskbd68efjhhx+QmZmJLVu2oF27dlixYgVCQ0PRrVs3vPzyyzh48CDKy8sbIl4iaiKuJmUjzM8VKge+H0PUmDyd1cguYJJGRNSU1SpJi42Nha+vLwBAoVBg8ODBWLJkCU6ePInk5GQ8//zzSEhIwN133w1vb29MnToVK1euRHx8fIMET0T2a8epeIzvwYIhRI3Ny0WN22xJIyJq0mqVpIWFhUEmk5kd5+fnh/vvvx9ff/01UlNTsXfvXqhUKvztb39DREQEOnXqZJOAicj+FRSX4XZ+CUJ9XKQOhajF8XRRI4tJGhFRk+Zgy4UVFRVh79692LlzJ3bu3In4+HgIIQAAly9ftuWqiMiO7T9/C8O7BEsdBlGL5Omsxun8DKnDICKieqh3knb16lXs2LEDO3fuxKFDh1BaWgqgohKkTCbDHXfcgXHjxmHcuHH1DpaI7J8QAkeupOLte3pLHQpRi+TlosZ3R2LQLcIbvVr7Sh0OERHVQa2TtOLiYhw4cMCQmMXGxgKAocXMy8sLo0ePxvjx4zFmzBjDO2xE1DJcvpWNNv5uUCpqXZeIiGzAxVEJAEjNLpI4EiIiqqtaJWnjx4/HL7/8guLiYkNSJpPJ0KtXL0NrWZ8+fSCX8+KMqKXacSoes+5sK3UYRC2WXCbD8vkDcCaWjzwSETVVtUrSdu3aBaAiMZs4cSLuvvtutpYRkUFeURnyisoQ5OUsdShELZo3KzwSETVptUrS/ve//2Hnzp3YtWsXdu/ejaKiIqSlpWH8+PGIiopqqBiJqInYdy4RI7qyYAiR1DyZpBERNWm1ei7xrrvuwurVq3Hr1i0cP34cI0aMwJYtW9ClSxeEh4fjkUcewdatW1FQUNBQ8RKRnRJC4OjVVPSP9Jc6FKIWT+WgQJlWJ3UYRERUR3V+eaxbt254+eWXcejQIWRkZOD9999HWVkZHn30UXh7e2PEiBFYtmwZLly4YMt4ichOnU/IQodgTziwYAgRERFRvdjkasrd3R0zZswwtLIdO3YMI0eOxMaNG9G1a1e0atUKCxcutMWqiMhO7Todj3E9QqUOg4j0hDAU+SIioqbF5re8b968iePHj+P48eO4dOkSACAxMRGrVq2y9aqIyE7kFJaiqKQc/h5OUodCRH9yVDmguEwrdRhERFQHtSocMnz4cGzatAkeHh6GYaWlpfjll18MBUWuXLkC4K9+01QqFe688052Zk3UjO05m4hR3diKRmRPPF3UyMovgaNXrbtEJSIiidXqzH3w4EGUlZUhJibGkJQdPHgQRUUVHWbqE7OIiAiMHTsWY8eOxfDhw+HszHLcRM2VEAInYtIwtW8fqUMhoko8ndVYuvk0ls3pD7VSIXU4RERUC7W+vXbHHXcgMTERwF9JmUajwZAhQzB27FiMGzcOkZGRto2SiOzW2ZuZ6BzqBQU7sSeyK66OSlxNysGN1Fx0CPGUOhwiIqqFWidpCQkJAIB27dph3LhxGDt2LIYOHQqNRmPz4IjI/u06nYAHRrCfRCJ7M7ZHKzhrlLiewiSNiKipqXWS9v7772PatGmIiIhoiHiIqAnJLihBuVYHXzdHqUMhoioUchki/Fyx52yi1KEQEVEt1TpJu//+++Hn59cQsRBRE/PzmUSMZsEQIrvl7+6I1JwiqcMgIqJaqtVLJHPnzoWjY+3vmOfm5mLBggW1no+I7JdOCJy6kY5ebXylDoWILNCoHFDCMvxERE1OrZK0L7/80lDJsTaKioqwbt26Ws9HRPbr9I0MdAv3hkIukzoUIrJCAHzkkYioianV445CCCxbtgwuLi61Wkl+fn6tpici+/fzmQQsHN1R6jCIqBrpOUVY9uNZDOoQAI2KfaYRETUFtT5bf/DBB7VeiRACMhnvthM1F5l5xQAAb1dWdSWydy9P7YGtJ+Jw63Yh2gS4SR0OERHVQK2SNI1Gg+LiYnh7e6Nz5841nq+0tBTHjh2rdXBEZD9uZhZCXzPo5zMJGNODBUOImoJwP1dEBrkjNZtJGhFRU1GrJC02NhbvvfceVq5cCaVSiTfeeAODBg2qdr6UlBQEBwfXOUgiklZhSTmWbruCb9uFQukgw9m4TNxzZ1upwyKiGvJx1SAlm1UeiYiailoVDvH398eHH36I2NhYdO/eHePHj8fQoUOxf/9+q/Op1WoMHjy4XoESkTS0OoHpy/ZAo1IgLacYJ2PS0bO1L+R8hJmoyfBy0eD2n48pExGR/atVkqbn6+uLf/7zn4iNjUX//v0xdepUDBgwALt27TI7vaenJw4cOFCvQIlIGidj0jGlTzjGdvFHanZhxaOO3UOkDouIasHbVY3M/L+StFuZBbiWnIPMvGJcT84xDE/MzMe8/x7AufjbEEJIESoREaGOSZqej48Pli5diri4OIwYMQKzZs1C79698eOPP9oqPiKS2O6zCZg5oDX83dQ4n5AFpYMcHs5qqcMiolpwc1Ihp7AMcWl5iEvLw4KPD+Lt70/ihS+P4bFVv+GPmHTM/HAPvjscg5zCUjy/7igSMwukDpuIqMWqV5Km5+npiXfeeQdxcXGYMGEC5s2bh27dumHjxo22WDwRSSQtpwhKRUVS5uuqxreHYzCWBUOImhy5TIaTMelY+NkhrN53Ca18XDCkYyBu3S7Aq9N64MuDV1FarkN6bjHUDgoMjArAqRvpUodNRNRi2bTDFHd3d/z973/HtGnTMHLkSMycORNz587FmjVrbLkaImoku04nYFzPVgAAH1cV5DKgW5i3xFERUV0M7RyEIE8nRN+8jTlDI9ExxBPT+7WGTgi8u+k03ru/LzRKBUK8XVBcqsXney+huCwGMwe2kTp0IqIWx6ZJ2s2bN7FkyRJ8+eWXKCsrgxCCz7QTNVFanQ4XEm/j/iHtIISARqnAT6+OY5+HRE3U8//XDSlZhejd1g/tAt0Nw3VC4O9334Hu4T6GYY4qBxy8kITz8bdxV//WUMh53BMRNSabJGk3b97E4sWL8eWXX6K8vBxCCLRv3x6vv/46Zs2aZYtVEFEjO341DX3b+UMmk/FmC1EzEeDphIAqw+QyGfq39zcappDL0D3CG+0DPXA9JQftgzwaLUYiIqrnO2lxcXF46KGHEBkZiTVr1qCsrAyRkZFYv349Lly4gHvvvRdyuU1eeyOiRrY3OhEju7J/Q6KW6r37+iHC3xWXb2UjNbtQ6nCIiFqUOmVQcXFxePDBB9G+fXuj5Oyrr75ickbUDCRnFcJJo4Sbo0rqUIhIQn7ujvhk1wVs+T1O6lCIiFqUWmVSsbGxeOCBB9C+fXusXbvWKDm7ePEiZs+ebTY5y8rKwvDhw20WNBE1rJ2n4jH+z4IhRNRy+bo5QqCi/zQiImo8tUrS2rdvjy+++AJlZWVo3749vv76a1y6dAmzZ8+2WkygtLQUv/zyS72D1XvmmWcgk8kQHh5us2USEfDzmQSUlGlxLSUHHYI9pA6HiCTm5+6I/z03CpDJoOO7qUREjaZWhUPKy8shk8ng7e2NPn36YM+ePdizZ0+18xUVFdU5wKqOHz+O//znPzWedunSpTh8+DDy8/PRunVrzJo1Cy+88ALUasud8SYnJ2PRokXYsWMHUlNT4e/vj/Hjx+PNN99EUFCQrTaFyK7kFJbiw23R+HBbNB4f14lVHIkIAODupIKvmwYZucXwc3eUOhwiohah1tUd+/XrB5VKhZs3b9Z4ntLS0tquxuJyHnjgAYSEhCA+Pt7qtBs2bMCcOXPQu3dvbNq0CUFBQdiyZQtefvll/Pjjj9i/fz9cXFxM5rt48SIGDx4MpVKJ//73v+jZsydOnTqFxx57DBs3bsShQ4fQsWNHm2wPkT3ZczYRz07qin9tj8bwziwYQkR/8XHVIC2nCL5uGt7AISJqBLVO0jZv3gw/P79azZOSkoLg4Ppf9L377ru4desWPv74Y8yePdvidDExMViwYAG8vb2xc+dOeHh4AACee+45lJSU4LXXXsMzzzyDzz//3Gi+8vJyTJ8+HZmZmTh8+DAGDBgAAIiIiEBAQADuvPNO3HXXXYiOjoaDg027mCNqNHlFZXB1VBoN0wmBEzFpeHd2X4zpHipRZERkr7xdNXhu3VG8OaMXBkZVLeJPRES2Vqt30sLCwqBQKGq9ErVajcGDB9d6vsouXLiApUuXYtmyZQgMDLQ67bvvvouSkhLMnz/fkKDpPfbYY1Cr1VizZo1Ja9w333yDy5cvo2/fvoYETW/gwIHo168fLl26hO+++65e20IkBa1Oh4nv7sSzXxxBRm6x0bizcZno0sqbHdYSkVkBHk4AgNi0PIkjISJqGWpd3dHb27vWK/H09MSBAwdqPZ+eTqfDAw88gDvvvBMPPPCA1Wm1Wi02bdoEABgxYoTJeHd3d/Tu3Rs6nQ4bN240Gvf9999bnA8ARo4cCQBM0qhJOnolFWVaHeIz8pGcVWA0btfpBIxlCxoRWdAt3BvfPz8KSbcLqp+YiIjqrUk8s/fvf/8b0dHROHfuXLXTXr16FdnZ2QCAqKgos9NERUXht99+w4kTJ4yGHz9+vNr5AJjMV1VJSQlKSkoM/5+bmwugItnU6XTVboOt6XQ6CCEkWTfZj5/PJODf8wfganI2bt0uQKdQTwDA7bxi6HQ6eLmoLO4j3IeoPrj/NA8uagfkFZXyd4yaJO5DDYefacOw+yQtNjYWr7/+Ot5++220adOm2uljYmIMfwcEmH9uXv+4ZOVp8/PzkZaWVqP5UlJSUFhYCCcnJ7PTLV26FIsWLTIZnp6ejuLiYjNzNCydToecnBwIIdjJeAsVn1kIVxXg4VACT5UWl5OzkZZW0VH1j6eT0Sfc1bD/m8N9iOqD+0/zUVpaavVc0VC4D1F9cR9qOHl5fAy6Idh9kvbQQw+hQ4cOeOaZZ2o0vb7VSqFQQKlUmp1Gn1zl5OSYzAcAjo7mSwxXTspycnIsJmmvvPIKnn32WaNlh4aGwtfXF25ubjXaDlvS6XSQyWTw9fXliakFKi3X4vnvLmDxrN7w83FBmYMzLqSUwM/PD1qdwPWMOCwY3RVyKxXbuA9RfXD/aT5UqvhaFw+zBe5DVF/chxqORqOROoRmya6TtNWrV+OXX37BH3/8UaeCJVJRq9Vm+2GTy+WSnRhkMpmk6yfp/HopCR1DPBHuV3GDwNNFg9yiMsjlcpyIScUdbXzhUIPji/sQ1Qf3n+bBSa1ESbkOjqrGv3zgPkT1xX2oYfDzbBh2+6kmJyfj+eefx4svvohu3brVeD59S5VWq0VZWZnZaQoLCwFUFBGpOh9gufNt/XxV5yWyZwcuJOHZ//vrGHJWO6CguOLY2H0mEaO7hUgVGhE1MZ4uaqTnNv5j+0RELY3dJmm7d+9GdnY2li9fDhcXF6N/48aNAwDEx8cbDQdg9N5aSkqK2WUnJyebTOvi4mJ4hKO6+QICAiw+6khkT64mZSPMxwUa5V8tZTKZDAJAanYh1EoFPJxNW32JiMxxc1TioU9+QWm5VupQiIiaNbt93HHatGkYOHCg2XHHjx/Hfffdh6CgIBw8eNBoXGRkJNzd3ZGTk4PLly8jNNS0rPjly5cBAL179zYa3qdPH2zfvt0wvqbzEdkjIQReXH8MKx4cZDJOqxOY89EBfDivvwSREVFTNbRTEHaeTkB2QSn83M2/v01ERPVnty1prq6uaNu2rdl/wcHBAAAHBwej4UBFwZBp06YBAPbt22ey3JycHJw4cQJyuRzTp083GjdjxgyL8wHA3r17jaYjsmfnE7IwrkcrBHs7m4yTy2WY0b81OoV6SRAZETVVQV7OGNMtBNkFJdVPTEREdWa3SVp9vPrqq1CpVFi7dq1RBUcAWLFiBUpKSjBv3jyEhYUZjZs1axYiIyNx/PhxHDlyxGjckSNHcOzYMbRv3x6zZs1q8G0gqg+tTofn1x3F5D7hZseP6xGK2YPaNW5QRNQsuDurkV1QKnUYRETNWpNK0tLT05GSkoLbt28DqCgOkpKSgpSUFOTn5xuma9u2LVatWoWMjAyMGzcOhw8fxo0bN/DBBx/grbfeQq9evfCvf/3LZPlKpRI//PADvLy8MH36dGzatAlxcXHYtGkTpk+fDi8vL2zcuBEODnb7lCgRAOD4tTQsHNUBAR7m350c0D4ATmrux0RUex7OKmQXsiWNiKghNakkrXfv3ggMDDQ8ppiYmIjAwEAEBgZi2bJlRtPef//9OHz4MHx9fTF58mR07NgRq1atwhtvvIHffvsNrq6uZtfRuXNnREdHY9KkSXjqqafQvn17PPXUU5g0aRKio6PRuXPnBt9OovraezYRI1m1kYgagIeTCjlsSSMialBN6lZ6XFxcrabv168ftm7dWuv1BAcHY+XKlbWej8geJGcVwlmjhJujSupQiKgZcndSIaeQSRoRUUNqUi1pRGQsr8i0L8Adp+IxvmcrCaIhopbAjUkaEVGDY5JG1ES98e0J3LVsN87EZhiGlZZrcT0lB1HBHtIFRkTNmqujyuwNoroSQuB2PjvIJiKqjEkaURNUUFwGGYApfcLx0lfHodUJAMDhyykYGBUAmUwmbYBE1Gwp5DIIIWy2vMu3sjFrufmub4iIWiomaURN0P7ztzCiSzCm92uNrmFeSMsp+nN4EoZ3DpY4OiIi88q0OqRkFRoN+/FEHMJ9zRfzIiJqqZikETUxQggcvpyKAVEB8HN3xMCoACRlFeBmeh583TQsrU9Edmv/uVt4+LNDhv9PzS6EABDm64LCknLpAiMisjNM0oiamEu3shEZ6A6louLwDfBwQkpWIX46GY8JPcOqmZuIqP6yC0ux9ffYWs/366VktA9yx08nb+JqUja2/B6HKX0iEOztjFu3CxogUiKipolJGlETs+NUPMZVqt4Y6OmE2LQ8JGUVoE2Am4SREVFL4evmiI9/vlireWJSchHs5YxWPi74z47z+PHETSRm5iMq2AMhXs5IzMxvoGiJiJoeJmlETUheURnyi8oQ6OlkGObv4YRtf9zEkI5BEkZGRC3J63f1RN92frWaZ8epmxjfsxXaB3tgXI9Q7IlOxNgeFTecQnxc8MuFZJyJy6hmKURELQNfXiFqQvZGJ2JUtxCjYRqlAgAwuGOgFCEREVWrqLQcabnFCPN1RZivK0Z3C8XsQe3g46YBAIR4OePo1VQoHeToHu4jcbRERNJjSxpREyGEwPFraWbvXu94bRzUfyZrRESNQQbUuBT/wQtJGNbJuLXfz90R8j+7C3HWKDG+Zyso5Ow+hIgIYJJG1GScj7+NDsEecFCYHrYKOQ9lImpcjmqHGldk/PVSCu7sEGB1mqcmdEEBKzwSEQFgkkbUZOw8nWBUMISISEoezmpkF5ZWO9215ByE+bpA5VB9az/b0YiIKjBJI2oCcgpLUVKmhZ+7o9ShEBEBANydVMipQZK241Q8xveo+Q2mmj5CSUTUnDFJI2oCdp9NMCkYQkQkJQ9nFbILSqxOU1BShtt5xQj1canRMl00Sj7ySEQEJmlEdk8IgT+up6N3W1+pQyEiMvBwUlfbkrb/XBKGdQmu+TKdVYiOy0Rpuba+4RERNWlM0ojs3Nm4THQJ82ZxECKyK+7OKmQXWE7ShBA4ciUFA6OsFwypzMNZjUXfn0RcWp4tQiQiarJ41Udk53aeTsDY7qFSh0FEZMTjz3fSLL1DdvlWNtoGuENppiKtJSqHimmzqnmMkoiouWNn1kR2LCu/BFqdMHT4SkRkL9ydVdh8PBbtAtwwoqvpO7M7TsVj1p1ta7XMCb3C4OGkttpCR0TUErAljciO7T6bgDHdWTCEiOyPk6riPm9yVqHJuLyiMuQVlSHIy7lWy1Qq5PB11yArny1pRNSyMUkjslM6IXDqRgZ6tWHBECKyPzKZDBueHoFMMwnVvnOJGNm15gVDKvN0VvNxRyJq8ZikEdmpUzcy0D3CB3IZu3clIvvk5qRCTpWESgiBY1fT0C/Sv07L9HRRsyWNiFo8JmlEdmr3GT7qSET2TamQo1xnXDjkfEIWooI94FCLgiGVOaocUFzGEvxE1LIxSSOyQ5l5xZDJZPByYcEQImpadp2Ox7gerEhLRFQfTNKI7NCu0wkYw7L7RNQEVH4gO6ewFEWlWvh7OEkWDxFRc8AkjcjOaHUC0Tcz0T3CW+pQiIiqpVDIUabVAQD2nE3EKDPl+GvLQSFHaTkfeSSilotJGpGd+SMmDXe08WXBECJqEtydVIhPz0OZVocTMWno067+FWk9nFVYuum0DaIjImqa2Jk1kZ3ZfSYRT4zvLHUYREQ14uGkwqOf/4YRXYLRJdQLCnn97/9qtQJHrqTaIDoioqaJLWlEdiQtpwgqBzk8nNVSh0JEVCN5xWVQKxXYd+4WxtioYMjDozpgQHt/FJeW22R5RERNDVvSiOzIrtMJGNezldRhEBHV2Kw72+K+we1wOjYDvm6ONlmms0YJP3dHZBWUIlDFSxUiannYkkZkJ7Q6HS4k3kaXVl5Sh0JEVGPerhp4OKsxrHOwTZfr7qRCdgE7tSailolJGpGdOHolFX3b+kHGgiFERPB0USOLSRoRtVBM0ojsxM9nE232PgcRUVPn6axGdkGp1GEQEUmCSRqRHYhLy4OfmwbOaqXUoRAR2QUPZzWy8tmSRkQtE5M0Ijuw/eRNTOwVJnUYRER2w8NZhfiMfPx8JkHqUIiIGh2TNCKJFZaUIzW7EBH+blKHQkRkNzyd1Th4IQmHLiZLHQoRUaNjkkZUja2/x6KkTNtgy99//haGd7FtVTQioqZOrVTAy0UNuZzFlIio5WGSRmRFTmEpPv75IuIz8htk+UIIHL6cgoFRAQ2yfCKipuybZ0aCKRoRtURM0ois2H0mAb3b+jZYXz0XE7MQGegOlYOiQZZPRNTUOchlKNPqpA6DiKhRMUkjskAnBP6IScfwzsHIKyprkHX8dDIe43u2apBlExE1B54uanZqTUQtDpM0IgtO38hAt3BvuDurkFdk+756sgtKUFquhb+Hk82XTUTUXHi6aHCbpfiJqIVhkkZkwa4zCRjbIxRujirkNkBL2s9nEjCmOzuvJiKyxsuF/aURUcvDJI3IjPTcIshlMni5aODqqESujVvSyrU6nIrNQK82vjZdLhFRc+PprEZ2ge2fZiAismdM0ojM2HU6AeN6VrRyuTmqbPpOmhACE97difZBHpDLWLeMiMgaTxc1Vu+/gl+vZkgdChFRo2GSRlRFuVaH8wm30S3MGwDgqFKgqKS82vl+vZiMG6m5VqcpLdfihS+PYUz3EMy6s61N4iUias4CPZ2QX1yG1Bw+8khELQeTNKIqjl9LQ792/pD92colq2Fr1+IfTuFMrPU7vb9dSsG5+NtYMDwKjiqHesdKRNTcuTupsO7xoSgo0UodChFRo2GSRlRJbmEpdp9JwMiuIbWaLy4tD+0C3VFUav0i4sD5W9jy0hh4OKvrEyYRUYvi5aJGdmHDdIVCRGSPmKQRVTLzwz3IKSqFq6PSaLioZr6dp+Mx+862yCm0/HJ7bGou/D2c2IJGRFRLDgo5dKK6MzERUfPBJI3oT7duF2BUtxB8MLe/yTilQo7ScvOtZMVlWiRmFqB7hI/VJO2nU/GYwI6riYjqhDkaEbUkTNKI/rTzVDzG9wyDQm56WLg5Wa7weOhiEoZ0CoSjSoHiUvMFRjLzipGUVYgIfzebxkxE1FJoVHIU1qCIExFRc8AkjQgVVRdvpOaifZC72fHerhqk5xaZHffLhWQM7hgEmUxm8bHIJ9ccRt+27BONiKiufF3VSM0ulDoMIqJGwSSNCBVVFwdGBVis5NjazxU3UvNMhsek5CLYyxkapcLisrMLShAV5IHJfSJsFi8RUUvj66pCcrb5m2VERM0NkzQiAAcuJGFY52CL40N8XJCYmW8yfMepmxhf6T0zGSo6q65sz9lEjO5eu2qRRERkzNdVjXc2nkIKW9OIqAVgkkYt3s30PPi6aeCktlx10cNZZVIUpKi0HGm5xQj3czUMc1Q7GJXh1wmBP26k4442frYPnIioBWnl7QRvVzVS2ZpGRC0AkzRq8XaciseEnmFWp3HRKJFfpXDIgfNJGNox0GiYu5NxMncmNhPdwryhkNesQ2wiIjLPVeOAhaM6IC2HSRoRNX9M0qhF05fPbxNgveqi3ExRkN8up2CQ2SStxPD/u07HY0z3UFuFS0TUovm5OTZKknYxMQsFJew8m4ikwySNWjR9+fzaupqUjTBfF6gcjAuGuDupcOpGBnRCIDOvGEBFZUgiIqo/X/eGTdLyisowbvEO/HPLGZy4nt5g6yEiqg6TNGrR9OXza0pfFGTHqXiM72HaMbWzWol1B68i6XYBfj6TgLFmpiEiorrxcFYhu6Ck+gnraMepeLg6KqFykONCwu0GWw8RUXXsPkmLj4/HO++8g4EDB8LT0xNKpRL+/v4YP348Nm7caHXe48ePY8qUKfD19YWjoyM6deqExYsXo6TE+gk+OTkZjzzyCFq1agW1Wo1WrVrhkUceQVJSki03jSQWk5KDEG/r5fMrc3VUIq+4DAXFZcjKL0Goj4vJNO0C3REZ6I6k24U4ezMT3SO8bR02EVGLpX/0/EZqrs2XnXS7AIcvp2DVo0OwfN4AZOQW23wdREQ1ZddJ2i+//II2bdpgyZIlGD58OPbs2YNLly5hxYoVuH79OmbMmIHZs2dDp9OZzLthwwYMHDgQqamp2LRpE86fP48FCxZg0aJFGDRoEPLzTcupA8DFixfRpUsXbN26FcuXL8fly5exfPlybNmyBV27dsXFixcberOpkfx0Kt6ofH51vFw0uJ1Xgv3nb2FYF/Pl+oO9nXHfkHZYs/8y7mjjC7mFfteIiKhudELg5a+Om3R3Ul9fHbqGx8Z1gpujCs4aJbQ62y6fiKg2LNcctwNZWVkoLy/Hhx9+iCeeeMIwvG3bthgwYACioqLwzTffYNiwYXjooYcM42NiYrBgwQJ4e3tj586d8PDwAAA899xzKCkpwWuvvYZnnnkGn3/+udH6ysvLMX36dGRmZuLw4cMYMGAAACAiIgIBAQG48847cddddyE6OhoODnb90VE1CkvKkZ5bjDBf1+on/pOnixq380tw5Eoq3r6nt8Xp/N2dEJuWh9HdWDCEiMjW/NwdkZpdhKyCEni52Oad35zCUhSXadE+yMMmyyMiqi+7bkkDAIVCgblz55oMDwoKwqRJkwAA//vf/4zGvfvuuygpKcH8+fMNCZreY489BrVajTVr1iA+Pt5o3DfffIPLly+jb9++hgRNb+DAgejXrx8uXbqE7777zgZbRlI6cP4Whneu+btoAODrpsGhi0loG+AOpcLyoRPm64INT4+Au5OqvmESEVEVj43tjLE9QhGfbv6JmLrYfSYBo7uFmAwvKi232TqIiGrDrpO0CRMm4Pbt23BzM18ePSSk4oR6+/ZfL/dqtVps2rQJADBixAiTedzd3dG7d2/odDqTd9q+//57i/MBwMiRIwGASVoTJ4TAb5dTMDAqoFbzhXg5Y+fpBIzrYb2FTCaTsaIjEVEDUchlaOXjghupucjMK8bhyym4mJhV5+XphMAfMeno3dbPZNyU936uT6hERHVm18/sKZVKKJVKi+OTk5MBAF26dDEMu3r1KrKzswEAUVFRZueLiorCb7/9hhMnThgNP378eLXzATCZr6qSkhKj4iS5uRUvOOt0OrPvzzU0nU4HIYQk67ZHV25lo7WfKxzkslp9JgEejgj2ckKAh2OL+yy5D1F9cP+h+qq6D4V4O+P1b07gsz2XEODhiDHdQxEV5G6YPq+oFIm3C9Ah2LPaZZ+6kYGuYV6QQUBX6T20/OKKftLKtVq+X9wM8DzUcPiZNgy7TtKsKS8vx549ewBUPMKoFxMTY/g7IMB8S0lgYKDJtPn5+UhLS6vRfCkpKSgsLISTk5PZ6ZYuXYpFixaZDE9PT0dxceNXi9LpdMjJyYEQAnK5XTeeNopNR+IwsXuA4fuujXend6jTfE0d9yGqD+4/VF9V96HKRUNCPNW4mpCBtLS/3jH+8XQyrqbkY/6gMDipFHBUWa7i++PxG5jdP9Tk3P786Ais/U2OmJtJcHeyfMOYmgaehxpOXl6e1CE0S002SVuzZg1SUlLwt7/9Db17/1XEQd9qpVAoLLbC6ZOrnJwck/kAwNHR0ep8+nktJWmvvPIKnn32WaNlh4aGwtfX1+Kjmw1Jp9NBJpPB19e3xZ+Y8orKUIYEdGnH/stqg/sQ1Qf3H6ovc/vQxudGwllT8Tv/1nd/wM+v4nFFrU6HmIw4OGrU2PB7CsZ2D8HAKNNHGQEgI7cYGo0GkeEWKvb65kCmcYGfn7vZ8dR08DzUcDQavuLREJpkknb9+nU8//zz6N+/Pz788EOpwzGhVquhVqtNhsvlcslODDKZTNL124sDF5IwomtIi/8c6oL7ENUH9x+qr6r7kKuT2mRccWk5Jr/3Mx4Z3RGpOUXYfDwW/SL9LO53u6NvYVzPVhbH+7g5IquglPttM8HzUMPg59kwmlySlpycjNGjR6Nt27bYuXOnSfaub6nSarUoKysz25pWWFgIoKKISNX5AKCoqMjsuvXzVZ2XmgYhBI5eTcWSWX2kDoWIiGzIQS7Dlwev4utfr6FjiCdGdQtBuVaHLq28cD05x+w8Wp0O525mYvagthaX6+WiRmZeicXxREQNpUmlvklJSRgxYgT8/Pywb98+s4lSmzZtDH+npKSYXY6+4EjlaV1cXAyPSlQ3X0BAgMVHHcl+nU/IQsdgTzhYKZ9PRERNj5NGia9/vQYA+Md9feGiUcLDWY2OIZ64nW8+yfr9Wjr6tPOzWhTE21VjcX4ioobUZK5Wb968icGDB8PPzw979+6Fp6f5ik2RkZGG5O3y5ctmp9EPr/wuGwD06dOnTvNR07DzVDzG9eS7aEREzdH9QyLx8xsToFb+VSTE3VmFnMJSs9PvOZuAUV1N+0arzNtFg8y8xi/4RUTUJJK0a9euYdCgQWjTpg127twJFxcXw7jo6GiMHTvW8P8KhQLTpk0DAOzbt89kWTk5OThx4gTkcjmmT59uNG7GjBkW5wOAvXv3Gk1HTUdOYSmKy7TwczdfFIaIiJquZyd1xX2D25kMl8tkRpUg9ZKzCuGkVsLNSWV1uZ4uKmSxJY2IJGD3SdqFCxcwePBg9OzZEz/++KNJ5cXbt2/j55+NO5t89dVXoVKpsHbtWqMKjgCwYsUKlJSUYN68eQgLCzMaN2vWLERGRuL48eM4cuSI0bgjR47g2LFjaN++PWbNmmXDLaTGsPtsAkZ3s37HlIiImqba9mNW8WRFaLXTKeRy6MwkeUREDc2uC4ecP38ew4YNQ0ZGBuLi4jBw4ECTacz1zdC2bVusWrUK8+bNw7hx4/D+++8jMDAQmzdvxltvvYVevXrhX//6l8l8SqUSP/zwA4YMGYLp06djxYoV6NmzJ06dOoXHHnsMXl5e2LhxIxwc7Ppjoyp0QuCP6+mY1re11KEQEVEjk8lkOHQxGXd2CIBcJkOZVoeryTmYP7y91KEREVlk19nG3r17kZGRAQA4e/Zsrea9//770a5dOyxduhSTJ09Gfn4+IiIi8MYbb+DFF1+02KdD586dER0djUWLFuGpp55CWloa/Pz8MGnSJLz11lsIDjbflwrZrzOxmegW7g2FvHZ3WomIqOlTOsix5IdT+PqpEfBx0+DwpRQMjAqArBatb5l5xfB2ZV9QRNR47DpJe/rpp/H000/Xef5+/fph69attZ4vODgYK1eurPN6yb78fCYBD4/qIHUYREQkAR83DYK9nJGUVQAfNw32nb+Fl6d2r/H8tzILMPejA9j+6riGC5KIqAq7TtKI6iszrxhCCN4BJSJqoRaO6oiOwZ5IyS6Eh5MKPq4aOKtN+1C1ZPn8AXj/x9o9zUNEVF9M0qhZ+/lMAsb0qP7lcCIiar4CPJ1w9EoqYlJyMaGWXbG4OanAh+WJqLHZfXVHorrS6gTO3sxEjwgfqUMhIiIJBXg4IS49D4mZBWgb6C51OERE1WKSRs2OTghsPh6LkzHp6NXat9almYmIqHlxdVTi8OUUDOkUKHUoREQ1wscdqdk5GZOOT3dfBAB89+xIiaMhIiJ7ML5nKwzuGFSneR0UcpSWa6FyUNg4KiIi85ikUbPz85lERPi5om87P3g4q6UOh4iI7MBTE7rUeV43RyXyisrg7cokjYgaB5M0alYycouhkMvw6cLBUodCRETNhJuj6s8kjZWCiahx8J00alZ2nUnAWFZzJCIiG3J1VCK3qFTqMIioBWGSRs2GVidw7mYmuoV7Sx0KERE1I25OFS1pRESNhUkaNRsnrqfhjras5khERLblqmFLGhE1LiZp1GzsPpuI0d34qCMREdmWK1vSiKiRMUmjZuHyrWw4yGVwd1JJHQoRETUzbo5K5BayJY2IGg+TNGoW/nckBrPubCt1GERE1Ay5OiqRV8yWNCJqPEzSqMkqKC6DVqdDZl4xlAo5IvzdpA6JiIiaIVdHFfLYkkZEjYj9pFGT9eAnv+D+IZHIyi/BmO58F42IiBqGUiFHuU5IHQYRtSBsSaMmKaewFGqlAilZhYi+mYnuESy7T0REDYd1g4moMTFJoyantFyLuz/Yg3lD22PLiTjc0YZl94mIqGHppA6AiFoUJmnU5Px8JgF3D2iDQR0DUVKmxahuIVKHREREzZyL2gH5LB5CRI2ESRrZrXKtDos3njQZduhiMuYNi4RCLsOmF0bDw1ktUYRERNRSBHo6IzmrUOowiKiFYJJGduvo1VT8eikF5dq/HjLZd+4WhnUOhkJeses6a5RShUdERC1IoKcTbt0ukDoMImohmKSRXdIJge0nb2J8z1ZIzKz4URRC4MD5JIzsGixxdERE1NIEeTmxJY2IGg2TNLJLv19LQ/tAD/Rq7YOTN9IBANE3b6NDiAdUDgqJoyMiopbGz90R6blFUodBRC0E+0kjyZWWa00Sr5/PJOCZSV3hqHLAs2uPQOUgx/n4LDw0soNEURIRUUvm6axGVn6J2XHFZVooFXIo5Kw0TES2wZY0ktykpbuQkJFv+P/EzHy4Oarg5qiCUiHH1eQc/HfnBchkgI+bRsJIiYiopXJQyKG10KH1ip3nceRKSiNHRETNGZM0ktSVpGx4uahxNSkbZVodSsu12PbHTUy8I8wwzbR+EQCACb3CLC2GiIioUazYdR6ZecWG/7+WnIOzcZm4citbuqCIqNnh444kqR0n4/HEuM64mJiF3dG/I9TbBSnZhWgX6G6YZuGojlDK5egc6ilhpERE1NKl5xbjxPV0DOoQCG/Xiic7vvn1GhbNvANrD1yRODoiak6YpJFk8orKkF1Yij7t/PD1r9dwPSUXN9Py8fAo0/fOFoyIkiBCIiKiv8wc2AY3UnKRllNRQOTczUwkZBYgwt8NfBuNiGyJjzuSZPZGJ2JU12DDc/7/uK8vZDJgUMdAqUMjIiIyMbRTEPq19zckaTtOxePde/sYxgth/p215qK5bx+RPWGSRo2mqLQcv1xIAlBxoj92NRX9Iv0BAC9O6Y7u4d74zwMDoVRwtyQiIvvk7+6ItJwi3M4vRrlOwNfNEQCgUTmguEwrcXQN51pyDj75+aLUYRC1GLwapkaz79wtvLvpNICKPs86hXrB4c+ErLW/G2QymeHHjoiIyB55ulSU4t91OgHjerQyDPdwViG7oFTCyBqOViewYtd5xKbl/n979x0eVZX/D/w9M0lmJr13SEiQhERqiDQFpEkRUUQFZV2KKCvys4CC6+5iA0Hd9YvKiihYUXcRcS0UBYJUIfSeQAohZEISSO+Z+fz+yM5sJjOTQirh/XqeeR455557zp18TOYz99xz2nooRDcNJmnUKkQEe85mYlh0IHKLyrH5aBrG9u3U1sMiIiJqFKVCgSqD4PjFq+jdxctU7u2qwfT341BQ0vEStW0n0tE9yAMaBztOeSRqJUzS6LrpDdLgqR1nL+fhlgA3RAa541BSNvQ1pogQERHdSA4lZaN/V18oFf9bLqSTlzMA4GJ2YVsNq0UYRLDj5GXMGhEJjw58t5CovWGSRtftq93nsfhf8Si3kqidSc/FwfNZpn9vOpyG8X07I8zPFZ/GJWBMb95FIyKiG9MDA8MwomewWdmAbn545aF+SL7SsaYEHk3OQa9QL9iplPB3d4Qur6Sth0R0U2CSRtdFRHDi4lWcvHgN9yzbgvO6fLP6735Pwc9H0gAABSUVKCmvhL+HI7r4uUBtr0KfMO+2GDYREVGTPTayO9wcHSzKo4I9kJCR36GmBG46kmZ69i7Qwwm6a8VtPCKimwOTNLouZy/noXuQB565uwcA4EqNb9ayC0php6qeAlJRpccvx9Mxqlf1nTNXrQPef+x2sykiREREHYGrowPScopw99LNbT2UZnFBlw9HtR08nNUAAH8PR3y6MxGn0q618ciIOj5uZk3XZdPhNEwbcgv8PRzh46pFSo3pHVuPXsKY3p3w+/ksXMkrRXxSFu7r399U76hm2BERUcd0XpcPO6UCBhH8a28SKir1GBodiFBfl7YeWqP9eOgiHhocbvp3oIcjsvJLEX8hC7d29mzDkRF1fLyTRo1Wc/oiAPi6aXHlvxt76g0GnEy7hl6hXghw12LLsUvoFeIFlZJ3zoiIqON769EBGB8Tgr//cByfxiXgqz0XkJCR19bDarSC0grkl1Qg+L8LogDVdwrXzh2Gq4XlbTgyopsDkzRqtF9P/G/6IgD4uGqQ/d8kLf5CNmK7+kKhUCDQ0wnf7k/GXVwkhIiIbhI9Q7zw0OBwxJ3KwFuPDsDQqADT38j2pLisEqlZlitRXswuRHmlHluPXbL69zvQwxEFpVzhkailMUmjRjGI4OCFLNx2i6+pzMFOhUqD4Ex6LpZtPIpRvapXvOrs7YyYMG94uWjaarhEREStzstFgz9P6oOeIV6YO/ZWZLbDJG3jwVQ888les7LSiio8vmoXthy7hH3nrpj9rTdS8JlyolbBJI0a5XjqVfTsbDl9UQHg693nMXlguGnFKz93Ryx9pL+VsxAREXVst3cPAAC4au3b3QbXBhGcTLuK6E7mz5VtPXYJ0++MwD+3nMYDA8P4qAJRG2KSRo2y5egljOljOf2hsLQSUCgwbcgtbTAqIiKi9qk93nk6nJSNvl28obFXoaKqeq/T7SfS8cHWM3hgYBieHt8DgyL9bbZXKhTQGzrONgNE7RGTNGqwq4VlAGB1+uKDg8KZoBEREVmhUirwxndHG5XYbDyQAr3B0CLj+elwGu7q3QnuTg7IK66AiGDr8XS8/ceBsFMpMa5v5zrbuzrao5DPpRG1KCZp1GC2HiIGgIERfogIdG/dAREREd0Ayir12Hk6A7lFDVsV8WphGVb9cgbZ+WXNOo6EjDx8suMcvFzUcHdSw8NZg2tF5Th1KRfdg9zRo4HL6rs5qpFXzCSNqCUxSaMG0RsExy9eRe8uXm09FCIiohvK/QPCMCQqADmFDUu6thy9hN5dvHC1qHmTtM93JuKbvUm4f0AYAMDLRQ1dbjHe+fEE7okNbfB53BwdkFfSfMvw//mrg8hqh4urELUlJmnUIPEXshAb7gtlO5xbT0RE1J71C/dBv3Af5BTUn4joDQacSLuKoVGByG/Gu1XnLuci2MsJkweGIcjTCQDg5azBht9TMOX28EatxOzu5IDzunyINO25tLzicjyzdi8OJ2XjYrbldgBENzO7th4A3Rh+OZ6Op8f3aOthEBER3ZC8XTW4lFNU73EHz2cjNtzX9LxYc9nwewpmjYiEv7ujqczLRY3sglIMiw5s1LmcNfZ46z/HMfzWoCZts/PxtnOYPjwCWfmlyMzjnTSimngnjeqVmVsCRwc709L6RERE1Dg+LhrkFNQ/ffHX45cwulcw3BwdkN9MS/en5RRBbacyS9AAIMjLGc/e3RMOdqpGna+TtzOcNfYNnr5pzdXCMpRV6tE71BsRge64kldy3eci6oiYpFG9Nh1Nw9i+1hcMISIiovp5u2qRXU+SpsstgaPGHq6ODnB3VDfb/mo/xKfi/gFdLMo19ioM6ObX6PMFeTph9sjIBiWdtnyw9TTuvS0UQPW+qplM0ojMMEmjOlXqDUjMyEdUsEdbD4WIiOiG5ai2Q0lFldW68ko90nKKsOlImmn5ezenpt9JM4jg8rViZOeXooufa5POVZu3q/a676QZV7m89b+rSWrsVSivapntBohuVEzSqE57z2VicKRfu9yMk4iI6EZSWl6FNdvPWZT/Jz4Vsz/4Dd/uT0L3IHcAgJPaDsVllU3qb8/ZTMxcudPm9jlN4d3A6ZtVegPKaiWnvxy33NJHgeqksjFOX7rW5MVLiNorJmk3MYMIfj2eXucxO05exvAeQa00IiIioo7LTqXEyYtXzcpEBIeTswEAbzzS3/SlqEKhQFPSj8LSSnz4yxm8dH9f9L+OKY318XbVIKegFL8eT0dJufU7hADw0tcH8d7mU6Z/G0RwJDkHMeE+ZsdpHeyw81RGg/vPLijFc5/uR2Fp0xJZovaKSdpN7GhKDt7+4bjN+rScIni5aOCktm/FUREREXVMT4zqDpdai3AdT72KWzt54qFB4egV2nx7kX62MwEPDg7HkKgAqJTNPxvGSW2HY6lX8c+tp/F74hWrxxjvtNWcjXM4KRt9w7wttvTp5O2M5d8fa3D/q7aewYBuftDxWTbqoJik3cS2Hr2Erv6Wc9SvFpZBRPDPLadNc+OJiIioabr4uUIJ82l9xufQZo6ItHi0QACs23W+3il9K34+iY+3ncXB81kAqv+OX8krwcRGbFDdWAqFAgUlFXh1Siz2J17B5avFFsdsOpKGh2+/xWwBlM1H0qxOv5w25Bb0v8W3QX2fuHgVHs5qDI0KQMY1y36JOgImaTepq/992DfI0wmlNeaKiwj+9k08DiVl42phGW4JcGurIRIREXU47k5q0ybVPx66iJzCMpt7jWXnl+Lz3xJxXpdv83zFZZWIv5CFDb8nY8OBZADA9wdT8eDgrs0/+Fp+eHEMbu3kgV1ndHh1/WGzukq9AWfSc9EzxNNUlpSZD2etPdyd1FbP52CnREWV3mpdaUUV9IbqZHXjgRRMG3ILAj2drCaHRB0Bk7SbTFlFFfQGA7Yeq35o18NZbVplCQASMvJxtbAcf/k6HnPHRrfhSImIiDoeHzctsgpKISL48VAq5t/Ty+axI3sG4+nxPUx3yKz59vdkPDkmGpteGgcHOxVKyqtwITMft3Zq+VWZVUolFAoFBkf4wcfNPNGMO3UZgyP9oVAooED1l8Abfk/BQ4NsJ4/uTuafSYwMIpi5cid2nLyMf+9Lgq+bFu5OanTxdUFyVmFzXxZRu8Ak7SYze9UubD2WjuOpV9EnzBuezmrkFv/vF+LmI2n424MxeG1KLHqFNN/ceCIiIgJ83TTIyi/FybRrGBzpjyBPJ5vHTh4YhjtvDcTFnCKr9fEXsnBel4+B3apXYVbbqfDvfUm4OyakVVdl/tuD/cz6K6vUY9ORNIzuFQygOvk6fSkXVXoDgrxsX6+Hkxq5xZbbDmw/cRlDogLw9g/HsWb7OTw+KgoAoLZXoayiCn/7Jr6Zr4io7dm19QCo9RSXVyKnoBQHzmehb5gPlAqF2Z20orJK5BWXc080IiKiFuLrqsWec5k4mpKD5dMG1Hu81sEOZZV6VOkNsFP977t1gwj+vS8Jr0+9zZQgebmosfloGh4dNrLFxm+Lu6MDcovK4eGsxs5TlzG+bwjU9ioAgK+bFh/+egbPjO9R5zlqz+4BgLTsQvx0+CLeenQAlAoFZo/qbrboiJ+7I/aey0RaThE6ezs3/4UB2H1Wh/0JV+DrpsX0OyNapA+i2ngnrQ5btmzBqFGj4OnpCScnJ/Tt2xfvv/8+DIYbc8PFuFMZuCc2FL8nXsFdvau/3ar+1qr6F+L2E+kY2TO4LYdIRETUofm4afHjoYu4VlQOb1frz6LVdjQ5B1Pe2WZW9uvxdNzW1deUCAHAkKgALLinl8XKia0hyNMJGbnFEBHsOqPD0OgAU13XAFeUV+oR7l/3c+61Z/dU6Q148qM9eGrsrXCwU+GJ0VEW1/anu6Lw5F3RuFDHc3vXK+NaMV7/9jD2ncvEE6OjkJpViPJK68/METU3Jmk2LF++HGPHjoVGo8Gvv/6Ko0ePYtSoUZg3bx7uvfdeVFXZ3hOkPRIR7Eu4gomxoegZ4ml6aNfDSY1rheUQEexPzMLAiObfS4WIiIiq+bhqMDjCDxtfuKvBbf58fx908XUx7QlWVlGFX46n497+XcyOi+7kidiuDVshsbn5uzviSl4pzl3OQ5ifKxzs/pc89r/FDx8+MaTec9R+Jm3biXQ8Mbp7nYuYOdip4O+hRWYzL8V/+Woxlm08hgcHhWPhfX3g5uiALr4uSLMx9bShruSV4M3vj+G7Ayl447ujFvvmERlxuqMVu3fvxqJFixAVFYXvvvsO9vbV+4QtX74cubm5+Oijj7B8+XK89NJLbTzShkvOLkG4vysCPZ3w1qMDTeWdvJ1xMacIpy/lIiLQzWwqBRERETUvBzsV/vZgv0a1GRThj0s5RUjNLkSPzp74aNtZPDgoDPbt6G+2v4cWh5NycCQ5B48MucWiviHPyNW8k5ZXXI4fD13EOzMG1dvO3UmNPCvPsjWGiOBQUjbScopwJDkHansVnhobjW6B7qZjQnxckJZd2OiVr8sq9VDbKbH12CV8fzAVPUO84O7ogKHRAfhsZyLe/uPA+k9CNx0maVa8/PLLAIB58+aZEjSj+fPn46OPPsKbb76J5557Dlqttg1G2Hg7z2bjjyMsV2tU26tQUaXH+v3J+NNdUW0wMiIiIqqPn7sjruSVwF6lQFFZFfrf0r5mvvi7OyIxIw8qlRIBHo7XdQ53JwfTnbRNR9IwY3ik2R052+3Mp0nWVFaph4OdEuWVeuxKyIHT5XKMjwkx1ecVl2PlltNIzSpEZ29nDIrwwwv39oZbrU3HgeovtnedyWjw9egNgrPpuZj/2X6E+bkiJswbK2YONpui+suxdFRU6Rt0nXRzYZJWS3Z2Nnbu3AkAGDFihEV9REQEgoODkZ6ejs2bN2PSpEmtPMLGKyqrRGF5FQJtrCCVW1SOS1eL4e9+fb9UiYiIqGX5umlxJDkHm46k4W8PxLT1cCy4OTrg9/NZeHVK4+4S1uRgp0JJRRXOXc7D8YtXMfX2hu31prFXoaJSDxHBv/clI7+kHI+PikL8hSz848cTMIgg2MsJwW4OyEwrwviYEFwrKsOWo5ew91wmnhp7K7o3YNG0YC8npF8tRmZeCTb8now9ZzOx5OHbEObnanbcyYtXcTg5B/EXsnBrZ098NGcIOvu4WD3nHd398d6mU5g1ItLm/nF0c2KSVsuhQ4dgMBhgb2+P8PBwq8dERkYiPT0d8fHxVpO08vJylJf/7xudgoICAIDBYGiTRUe2nUjHoK6eNvt+69EBUNspb9gFUajlGQwGiAhjhK4L44eaijEEeDk74IvfEvHnSb3hqrVvl+/Fd8+PgsZe1aSxFZZW4um1e/HCxF4QEYhIg9pdKyrHK/8+hEBPJ6RkFeKnQ6k4eCEbbz3aH1n5ZejZ2QPZ2dl4f0caHvtgJ/zcHDG6VxCWTbsNTuqGvZ/2KgXOpOfiHz8cx8TYUAzpHoBn1u7FcxN6Ire4HIeTclBWqYePqwYT+oVg6u3hpimpts5/562BKC6vxOxVvyHQwwkPDQpDqO//ErrUrEIkXymEQgEMjvSH2k5put6L2UUI9XWBh5MDPF00bTb9tT3GYkfAJK2WpKQkAICPjw+USuvBHhAQYHZsbW+88QZeeeUVi/Ls7GyUlZU100gbztWuCv5aICsry+Y1EdXFYDAgPz8fIsIYokZj/FBTMYYAg0Ewa0gIIrxUyMqyvbl1W2vq1tLjbvVG1xEhcNXaNeo6B4S5wt9Ng+ggVxxKUeByVi4euz0IdpXFCHSs/gyUn5+Px4cEQaVSwU5Z/YxccX4uihsxvlfvi4SzWvXfZ+wq8cYD0dh2Wgc/Nw1m3xFUYypjBXKv5jTonLd10uK2R3oir6QSPx9Px74z1eUKBeCstkP3QBeUVOjx7Z5zpjb2KiX83TTYdDELgGB8L394OFlO0WwNhYXcULwlMEmrxXjXq65nzRwdq6cF5udbX+71xRdfxHPPPWd2zk6dOsHHxweurq5W27SkYd7eyM7OrjPxJKqLwWCAQqFgDNF1YfxQUzGGqk32b1/PobWEMb7Xtzrl1Brtxlk5R3PFUO0z+/oC3cOaZ/siXwDdQoNs1o++/pmkLUqjadhWEtQ4TNJagFqthlptOa9YqVS22R8XhULRpv3TjY8xRE3B+KGmYgxRUzGGWgbfz5bBd7UW452u0tJSm8eUlFTvxeHm1rglWImIiIiIiOrDJK0W42Ih2dnZNh+E1Ol0ZscSERERERE1FyZptcTExECpVKKystLmwiDnzlU/uBkbG9uaQyMiIiIiopsAk7RafH19MXToUADA9u3bLeoTEhKQnp4OFxcXjBkzprWHR0REREREHRyTNCsWL14MAHj//fdRVVVlVvf3v/8dAPD888+bVnkkIiIiIiJqLkzSrBg6dCiWLFmC06dP47777sORI0eQmJiIRYsW4aOPPsK4cePw4osvtvUwiYiIiIioA2KSZsOf//xnbNq0CaWlpRg+fDj69OmDrVu3YsWKFfjhhx9gZ8fdC4iIiIiIqPkx06jD2LFjMXbs2LYeBhERERER3UR4J42IiIiIiKgdYZJGRERERETUjjBJIyIiIiIiakeYpBEREREREbUjTNKIiIiIiIjaESZpRERERERE7QiX4G8FIgIAKCgoaJP+DQYDCgsLodFooFQyL6fGYwxRUzB+qKkYQ9RUjKGWY/x8a/y8S82DSVorKCwsBAB06tSpjUdCRERERNT8CgsL4ebm1tbD6DAUwrS3xRkMBmRkZMDFxQUKhaLV+y8oKECnTp1w6dIluLq6tnr/dONjDFFTMH6oqRhD1FSMoZYjIigsLERgYCDvUjYj3klrBUqlEsHBwW09DLi6uvIXEzUJY4iagvFDTcUYoqZiDLUM3kFrfkx3iYiIiIiI2hEmaURERERERO0Ik7SbgFqtxuLFi6FWq9t6KHSDYgxRUzB+qKkYQ9RUjCG60XDhECIiIiIionaEd9KIiIiIiIjaESZpRERERERE7QiTNCIiIiIionaESRoREZl59tlnoVAoEBoa2tZDISIiuikxSevAtmzZglGjRsHT0xNOTk7o27cv3n//fRgMhrYeGjWjtLQ0vPbaaxg8eDA8PDxgb28PPz8/jBs3Dt9++22dbQ8cOIB7770XPj4+0Gq1iI6Oxuuvv47y8vI62+l0OsyZMwedO3eGWq1G586dMWfOHGRkZNTZrry8HEuWLEF0dDS0Wi18fHxw77334sCBA42+bmoZBw4cwLvvvtvgYxk/ZFRcXIw33ngDsbGxcHd3h6OjI8LCwjBx4kR8+OGHVtswhsgoNTUVzz77LHr27AkPDw9oNBp07doVc+bMQUpKis12CQkJmDZtGgICAqDRaBAeHo7nn38e+fn5dfaXn5+PF154AV27doVGo0FAQACmTZuGhISEOtsZDAasXLkSMTExcHJygqenJ0aNGoUtW7Zc13UT2STUIS1btkwAyN133y2HDh2ShIQEeeGFFwSATJgwQSorK9t6iNQMdu7cKXZ2dqJWq+Uvf/mLxMfHy/nz52X9+vVyyy23CACZOnWq6PV6i7br1q0TlUolAwYMkF27dsmFCxfk7bffFjs7O4mNjZXCwkKrfZ4+fVq8vLzE399fvv32W0lOTpZvv/1W/Pz8xMvLS06fPm21XWFhocTGxoqdnZ28/fbbcuHCBdm1a5cMGDBAVCqVrFu3rlnfG2q88vJyiY6Ols6dOwsACQkJsXks44dqSkxMlJCQEOnXr59s3LhRkpOT5ezZs/L3v/9d1Gq1BAUFWbRhDJHR9u3bRavVir29vSxdulROnDghZ8+elZUrV4qrq6s4OzvL/v37LdrFxcWJVquViIgI2bJliyQnJ8vatWvF2dlZwsLCJCMjw2p/GRkZEhYWJs7OzrJ27VpJTk6WLVu2SEREhGi1WomLi7ParrKyUiZMmCAAZOHChZKQkCDx8fEyfvx4ASDLli1rzreFbnJM0jqgXbt2CQCJioqSiooKs7rZs2cLAHn99dfbaHTUnDZu3CgA5N1337Wou3z5sri4uAgAWb16tVndhQsXRK1Wi6+vr+Tm5prVLVmyRADIY489ZnHOyspKiYyMFACyd+9es7o9e/YIAOnevbvVLwFmzZolAGTJkiVm5bm5ueLr6ytqtVqSkpIaeunUAhYvXizu7u7y1Vdf1ZmkMX6opqKiIgkNDZXY2FgpLS21qF+yZIn06dPHrIwxRDX17NlTAMhLL71kUbd69WoBID179jQrz83NFW9vb9FoNBY/t3Xr1gkAGTlypNX+Ro4cKQAsEvOkpCRRq9Xi7e0teXl5Fu1ee+01ASCzZ882K6+oqJCoqCgBILt3727QNRPVh0laBzR8+HABIB988IFF3blz5wSAuLq6SklJSRuMjprTxo0bRaVSSX5+vtX6hx9+2OofqpkzZ5q+CawtLy9P1Gq1KJVKuXjxolnd559/LgCkf//+VvsbMGCAAJAvv/zSrDw1NVWUSqWo1Wqrf/gWLVpk80MZtY5Tp06Jg4ODfPzxxxIXF1dnksb4oZpeeuklASBbt25tcBvGENWk1WoFgPz0008WdSdPnhQAAkBycnJM5a+++qoAkIceesiijV6vl8DAQAEge/bsMaszfpEdGBhodZbJlClTrH6ZXVxcbPri8+zZsxbtVq1aVWdiSNRYfCatg8nOzsbOnTsBACNGjLCoj4iIQHBwMAoKCrB58+ZWHh01t/Hjx+PatWtwdXW1Wh8cHAwAuHbtmqlMr9fju+++A2A9Rtzc3BAbGwuDwWDxTNv69etttgOAkSNHAgD+9a9/mZVv2LABBoMBMTExcHNzs9luw4YN0Ov1Vs9NLcdgMGDWrFm4/fbbMWvWrDqPZfxQTXq9HmvXroVarcbw4cMb3IYxRDX16tULAHDmzBmLOmOZQqGARqMxldcVC0ql0hSPtWPB2G7YsGFQKi0/BtuKoS1btqCwsBCBgYGIjIy02S4uLg7Z2dnWLpOoUZikdTCHDh2CwWCAvb09wsPDrR5j/OUSHx/fmkOjFmBvb28zQQOqH64HgB49epjKEhMTkZeXBwBW/9DULK8dI8aH61uqXW5uLi5cuGD9YqjFrFixAidOnMDq1avrPZbxQzWdOnUKOp0OoaGhKCgowMKFCxEVFQVPT0+Eh4dj+vTpOH36tFkbxhDV9sEHHyAoKAivv/461q9fj9LSUlRUVODXX3/Fc889BwAYOnQonJycAFQvUmOMq5aKhdOnT6O0tLTB7cLCwuDg4AC9Xo8jR47Uf9FE9WCS1sEkJSUBAHx8fKx+QwQAAQEBZsdSx1RVVYVff/0VADB37lxTec2fu7+/v9W21mKkqKgIWVlZDWqXmZmJkpISiz5ttatZzrhsXSkpKfjLX/6CV1991eYXOzUxfqimEydOAABKS0sRExODs2fP4oMPPsDu3buxYMECfP/994iJicGPP/5oasMYotp69+6NhIQEPP/885g5cyacnJyg1WoxevRoXL58Gb169cLatWtNx6ekpJhWqm5MDNX8d33tDAaD2aqS9bVTKBTw8/Oz2ifR9bBr6wFQ8yooKAAAaLVam8c4OjoCQL3L09KNbe3atcjMzMSf/vQnxMbGmsqNMaJSqWBvb2+1rbUYMbYDbMeXsZ2xrfHf9cWlSqWCWq1GeXk547KVzZ49G927d8ezzz7boOMZP1STcVpXWloa+vTpg++//970BWF0dDRCQ0Mxbtw4TJs2DUlJSfD29mYMkYXc3FxMnz4dP/30E+bPn48HHngAarUau3btQmZmJubPnw8PDw/T8Y2Jhdo/z/pioXYMNbRdXX0SXQ/eSSPqgC5cuIAFCxZg4MCB+Mc//tHWw6F2as2aNfjtt9+wZs0aqFSqth4O3YBq3q166qmnLGZwjB07Ft26dUNBQQE+++yz1h4e3QBEBGPGjMEPP/yARYsW4c0330RsbCx69uyJp556CjExMejevTt+/vnnth4qUatiktbBGJ9PqjmPujbjH1VrD0/TjU+n02H06NHo2rUrNm/ebPagNfC/GNHr9aisrLR6DmsxUvPZN1vxVfMDm7W2ttrp9XrT5rWMy9ah0+mwYMECvPDCC6aH9huC8UM11byrEBUVZfWYmJgYAMDBgwcBMIbI3I4dO0yxMX/+fIv6++67D66urrj33ntx9OhRAI2Lhdo/z/pi4XpjqK4+ia4Hk7QOxvhMSXZ2tmm+dm3GxSQa8vwJ3VgyMjIwYsQI+Pr6Yvv27Vb/UNT8uWdmZlo9j7UYcXZ2hq+vb4Pa+fv7m00ZMZ7HVrua5YzL1vHLL78gLy8P77zzDpydnc1eY8eOBVA9ha1mOcD4IXPG53cAwNPT0+oxLi4uAKqntAGMITJ3+PBhAICfn5/NGIqMjERVVRU+/vhjAECXLl2gUCgANC6Gav67vnZKpRKhoaENbiciuHLlitU+ia4Hk7QOJiYmBkqlEpWVlTYfXD137hwAmD2nRDe+ixcvYsiQIfD19cW2bdvM5u/X1K1bN1PyZoyF2mzFyG233dai7dzd3dG1a1erx1DzmjRpEs6fP48TJ07g2LFjZi/jB6HAwECzcoDxQ+b69Olj+m/jB9TajOXG30mMIbLGmHRZY5xGm56eDgBwcnJCdHQ0gJaLhejoaLNEv752ycnJqKiogFKpRN++fW1eC1FDMUnrYHx9fTF06FAAwPbt2y3qExISkJ6eDhcXF4wZM6a1h0ct5Pz587jjjjsQHh6OzZs3m+56ANWrr9X8WatUKkyaNAmA9RjJz89HfHw8lEol7r//frO6Bx54wGY7ANi2bZvZcUb3338/lEolDh8+bPWBamO7SZMm8dmoVuLi4oKuXbtafQUFBQEA7OzszMoBxg+Z6969O7p16wYAOH78uNVjjPtcDRo0CABjiMwZ4yczM9PmghsJCQkAzFdWrCsWDAYDduzYYXZc7XY7d+60OuPIVgyNGTMGzs7OyMjIsJqoGdsNGzYMPj4+Vq+DqFHaejdtan47d+4UABIdHS2VlZVmdbNnzxYA8uqrr7bR6Ki5nTp1Svz9/WXixIlSVlZmUR8XFye1/1c/f/68ODg4iK+vr+Tl5ZnVLVmyRADIzJkzLc5VUVEh3bp1EwCyd+9es7q9e/cKAImIiLCIOxGRGTNmCABZunSpWXlubq74+vqKg4ODXLhwocHXTS3HGDMhISFW6xk/VNNnn30mACQqKsriZ/fzzz8LAPHy8pLc3FxTOWOIjIqLi8XPz8/mZ5PNmzcLAAEgW7duNZVfu3ZNvLy8RKPRSHJyslmbdevWCQAZPny41T7vvPNOASBfffWVWXlSUpKo1WqLeDV65ZVXBIA8/vjjZuUVFRUSFRUlAOS3335r6KUT1YlJWgdl/CN39913y+HDhyUhIUEWLlwoAGTcuHFW/4DRjefkyZPi7e0tAKRXr14SExNj8TJ+oKnt888/F6VSKQMHDpQ9e/ZIUlKSvP3222JnZycxMTFSUFBgs09PT0/x9/eXDRs2SEpKimzYsEH8/f3F09NTTp48abVdQUGBxMTEiJ2dnbz99tuSlJQke/bskQEDBohSqZTPP/+8Wd8barysrCzR6XSyYcMGASDBwcGi0+lEp9NJYWGh2bGMH6rJ+AXghAkT5ODBg5Kamiqff/65eHt7i6urq8TFxVm0YQyR0bZt28TJyUns7Ozktddek7Nnz0pycrJ8/PHH4uXlJQBk3rx5Fu22b98uGo1GIiIiZOvWrZKcnCxr164VZ2dnCQ0NlcuXL1vt7/LlyxIaGirOzs6ydu1aSU5Olq1bt0pERIRoNBrZvn271XaVlZUybtw4ASCLFi2SxMREOXTokIwfP14AyJIlS5r1faGbG5O0DmzTpk0yYsQIcXNzE0dHR+ndu7esWLFCqqqq2npo1Ezeeecd0zeM9b2s2b9/v9xzzz3i5eUlarVaIiMj5ZVXXpHS0tI6+01PT5fZs2dLcHCwODg4SHBwsMyePVvS09PrbFdaWiqvvvqqREZGilqtFk9PT5kwYYLs27fvut8Daj4hISE242fx4sUWxzN+qKZvvvlGhg0bJm5ubuLg4CBdunSRP/3pTxZ3OWpiDJHRhQsXZO7cudKtWzfRaDRib28vgYGBcu+998rPP/9ss93Zs2dl6tSp4ufnZ4q75557zuqdsJpyc3Nl/vz5EhYWJg4ODuLn5ydTp06VM2fO1NmuqqpK3n33Xendu7c4OjqKm5ubjBgxos4xEl0PhYhIc0+hJCIiIiIiouvDhUOIiIiIiIjaESZpRERERERE7QiTNCIiIiIionaESRoREREREVE7wiSNiIiIiIioHWGSRkRERERE1I4wSSMiIiIiImpHmKQRERERERG1I0zSiIiIiIiI2hEmaURERERERO0IkzQionbg9ddfh0KhML0+/fTTNhlHWVmZ2ThCQ0Ob5bwvv/xyu7g+IiKiGwGTNCKiely7dg0vv/wyYmNj4ebmBgcHBwQEBKBv3774wx/+gA8//BDnzp1rUh/PPvssdDodHnzwwWYa9fXRaDTQ6XQ4ePBgs553wYIF9V7fkiVL4OnpiR07djRr380pNTXVLNms+dq5c6fZsbUT0+ZOfBtq27Zt8PT0xBtvvNGq/RIR0fVjkkZEVIczZ84gOjoa//jHPzBhwgRs27YNSUlJ2LFjB5555hkcOnQIc+bMweTJk5vUj5OTE/z9/aHVaptp5NfP398fPj4+zXpOZ2fneq/vq6++Qm5uLr777rtm7bs5derUySKJPXjwIHQ6HQYNGmR2rDExnT9/PgBg4MCB0Ol0iI+Pb9Uxb9y4Ebm5uVi3bl2r9ktERNfPrq0HQETUns2ePRuZmZn45ptv8NBDD5nVde/eHaNHj0afPn3aaHQdy/PPP49Vq1ZhxowZbT0Um1QqFfz9/VFWVmYq8/Hxgb+/v8Wxzs7OphcAODg4WD2upc2cOROHDx/GE0880ep9ExHR9WGSRkRkQ35+Pvbt2wcAGDt2rNVj/P398dBDD2Hbtm2tObQOafr06Zg+fXpbD6PDiYmJwe+//97WwyAiokbgdEciIhsMBoPpvy9fvmzzuL/+9a/YsGGD1bqSkhIsXboUvXv3hpOTE7RaLSIjIzFjxgxs2rTJrI/a9uzZgzvvvBMuLi5wdXXF3XffjYSEBJvHp6am4vHHH0dISAgcHBzg4+ODcePGYevWrTbbHD9+HBMnToSHhwecnJzQr18/fPbZZzaP9/b2tvls1fTp082evUpNTbV5npp27txp1q5morZnzx6LuvT0dDz88MPw9vaGVqtFv379sGnTpjrfl2nTpsHX1xcajQbdunXDX//6V5SUlLTps2I1Xbt2DS+++CKioqKg1Wrh5uaGwYMH4+OPP4Zerzc79rHHHrN4Fm7z5s0YOnQo3NzczMrruj5bz8zVfPn6+lqMNT09HU899RTCw8Oh0Wjg6emJkSNHWv1/YOTIkRYxsWbNGvTs2RMajQZ+fn544oknUFhY2KzvJxHRDU+IiMimwMBAASBDhw6VzMzMRrW9cuWK9OzZU+zt7WXp0qWSkJAgp0+flnfffVdcXV0FgHz//fdmbf74xz8KAJkxY4bcddddcuDAAUlISJA333xTVCqVBAUFSWFhoUVfu3fvFjc3N/Hx8ZEvv/xSEhMT5ddff5UBAwYIAFm2bJlFm7i4ONFqteLh4SGffPKJpKSkSHx8vDzwwAMya9YsASAhISEW13Tw4EGrdXl5eaLT6SQ4OFgASEpKikWfxuv75JNPTGXl5eWi0+nk//7v/wSA/PGPfzTVVVRUmNWNHz9eBg8eLD/99JMkJyfL+vXrxdPTU1QqlcTHx1v0d/r0afHy8hK1Wi3vvPOOJCUlyYkTJ+TJJ5+UYcOGCQABIDqdTrKysix/iDakpKSY2lq7zpoWL15siiFrEhMTpXPnzuLs7CwrV66UpKQkOX78uDz55JMCQMaNGyfl5eWm4/Pz80Wn08nAgQMFgMyZM0eGDx8uu3fvluTkZHnttdcEgMTFxYlOp7P581q8eLE8+OCDotPpzF4JCQni7+9vNW727dsnHh4e4ufnJ+vWrZOUlBQ5ePCgTJ48WQDI7NmzzY6/du2aWUw8/vjj8v/+3/+TM2fOyNGjR2XatGkCQCZOnNjQt56I6KbAJI2IqA6rVq0yfRjXarXyyCOPyIYNG6SgoKDetmPHjhUA8uabb1rUffXVVwJANm7caFZuTGI8PDykqKjIrG7SpEkCQL744guz8tzcXPHz8xMAsn//frO60tJSCQgIEKVSKQcPHjSVl5SUSFBQkACQ//znP2Zt9Hq99OnTx+oHe5H/JSjW6kREQkJCGpWkGX3yyScWSVrtOgCyd+9es7oVK1YIAJk1a5ZFu759+woAWbFihUXdxIkTTedsrOZK0qqqqqRHjx4CQL7++muL+kceeUQAyPPPP29RN3ToUAEgQUFBUlpaalbXrVs30/tk6+e1ePFiq+/11KlTBYCMHDlSDAaDqTwvL08CAgIEgOzbt8+sjV6vlzvuuEMAyMqVKy3OaYyJUaNGmZVXVlaKj4+PAJC0tDSLdkRENytOdyQiqsMTTzyBlStXwtPTE6WlpVi3bh3uv/9+eHl5Yfjw4fjnP/+JgoICi3ZHjhzB5s2bYW9vjzlz5ljUT548GYGBgbC3t7fa74MPPggnJyezsv79+wMAjh07Zla+Zs0aXLlyBQMHDsSAAQPM6jQaDaZPnw6DwYB//vOfpvJvv/0Wly9fRlBQEO655x6zNkqlEnPnzrX9prShiIgIi1UUbb0vu3fvxpEjR+Dg4IBZs2ZZnGvevHnNMqbo6GizRUJqv5YuXWqz7X/+8x+cPHnS9Gxjbc8++ywA4L333kNubq7Vc8yePRsajcasLCEhweJ9qu3xxx/Hyy+/bFb2ySef4Ouvv4aPjw+++OILKBQKU92aNWug0+lw2223YeDAgWbtlEolnn76aQDVe/7ZmsY7c+ZMs3/b2dkhJiYGQPXUWyIiqsYkjYioHk8++SQuXbqEL7/8EpMnT4a7uzsqKysRFxeHuXPnIjw8HD/++KNZm19++QUAEBkZCRcXF4tz2tvb4/Llyxg/frzVPrt27WpR5unpCQAWH9aNffXr18/qucLCwgAAe/fuNZX99ttvAGD6gFxb9+7drZa3tca8L8ZrjIyMtEh4gea7xk2bNuHYsWM2X9aSdKOaP7uaCZFR79694eDggLKyMuzatcvqOa73OgIDA82eU0tMTMS8efNMm43XXonSONbbbrvN6vmM5TqdDidPnrR6TGN+fkRENzOu7khE1ACOjo545JFH8Mgjj0Cv12Pv3r345ptv8NlnnyEnJwdTpkzBmTNnEBISAgC4ePEiAFz3fmNeXl4WZXZ21b+yay8kkZaWBgD48MMPsXbtWot2xuNrLn6Snp5e5/jaYqn4hrD2vhjvRtZ+X1rrGkNCQupcdMSYhFhjjBNrC3QA1Uv+e3l5QafTmY6trTn2tKuoqMCUKVNQXFyMZ555BuPGjWv0WP38/MyO7dWrl8Uxjfn5ERHdzJikERE1kkqlwpAhQzBkyBAsWLAA/fr1Q25uLr7++mssWrSoWfqwdlelPnPnzsWTTz7ZqHOKSKP7qU9LnNPoet6XlhxPe3A970ltL7zwAo4ePYo+ffpg+fLlzTAq65pjrERENwNOdyQiqsPSpUtx4MABm/VhYWGYMmUKAJgtOW+8o5adnd2i46vZl4iga9euNl/h4eGmNsHBwXWOLzMz02Z/KpUKgO07Hzk5Odd1Hc2tKdfYWow/uytXrlit1+v1uHr1qtmxze3nn3/GihUr4OTkhG+++QYODg7XNdaa5S01ViKimwWTNCKiOqxevbrOPbgAmBZtqDntbPTo0QCAc+fOWd0DqrS0FGPGjMHq1aubPEZjXwcPHrRaLyIYNWoUFixYYCobOnQoAODw4cNW25w9e9Zmf25ubgCsP0Ok0+lQUlLSsIG3MOM1JiQkoKioyKK+rmtsLcafXXx8vNXFNo4dO4aKigpoNBoMGTKk2fvPyMgw7Uv33nvvoVu3bmb1n376qem9M47V1pcWxvgLCAhAjx49mn2sREQ3EyZpRET1+Pzzz5Gfn2+1rqioCBs3boRCocB9991nKu/bty/Gjh2LyspKrFq1yqLdp59+iq1bt6JPnz5NHt+sWbPg7++P/fv3Y9++fRb169atw7Zt2zBs2DBT2eTJkxEUFISMjAz88MMPZscbDAasXLnSZn+urq7o0qULiouLce7cObM6a8/EtZU77rgDffv2RUVFhdVxvffee20wKnMTJ07ErbfeiqysLHz99dcW9e+88w4A4KmnnoKHh0ez9m0wGPCHP/zB9EzljBkzLI6ZMWOG6c6oMc4OHTqEPXv2WJxrxYoVAICXXnoJSiU/XhARNQV/ixIR1UGhUCA1NRUDBgzAJ598gjNnziA9PR1HjhzB6tWr0a9fP6SmpuLll19G3759zdp++umn6NGjB1566SUsX74c58+fx5kzZ/DWW2/hueeew8KFCxEbGwug+s5aZmYmSktLAQD5+fnIzMyEXq+HXq9HZmamKVGsfaybmxu+++47uLm5YeLEiVizZg2Sk5Nx6tQpLF26FLNnz8a8efNw9913m8am1Wrx5ZdfQqvVYvr06fjss89w8eJFHD58GFOmTIGrqysAmPq+du2a2bUZn32bPn069u7di9TUVHzwwQc4cuQIOnfuDKB6mqFxSmFRUZHV6ystLUVFRYXV6ysqKqr32rOzs03TGWsfCwBffPEFvLy8sHDhQqxYscL0vjz11FN1Luhhi7GPmlMojddZUVFhdqzxmo13oozXWbOtSqXChg0b0KlTJ9N2D8nJyTh58iTmzp2LdevWYdy4cViyZInFeY39Xbt2zeK6jWr2V/tnuWzZMuzYsQMeHh6YN28eTp06ZfGqyRhnHh4euP/++7Fu3TpcvHgRhw4dwpQpU7B792489thjZts31Ixj43tlHE9dMU9EdNNr013aiIjauYyMDFm1apVMnTpVoqOjxdXVVZRKpTg6Okq3bt3k0UcflT179thsX1RUJK+//rr06NFDtFqteHp6yqBBg+Sbb74x2yi45mbNNV8pKSlmGyfXfNXeEDotLU2efPJJCQ0NFQcHB/H395dhw4bJ+vXrzfqq6dixYzJhwgRxc3MTjUYjUVFRsmzZMklMTDTrq3///mbtDAaDLF++XMLCwsTe3l6Cg4Nl4cKFUlZWZtq42PiqrKw0behs7Rri4uKs1i1evLjea6/dF6xshp2cnCwPP/yweHl5iVqtlsjISHnzzTelsrJSAIhCoWhwPNgaDwCJi4szO9bWNVvbBPzq1auyaNEiiYiIELVaLS4uLjJw4EBZvXq1VFVVNei81jamtnaccVPt0NBQm9dSOwZrSktLk7lz50qXLl3EwcFB3N3dZfjw4bJ+/XqL/o2bl1u7/rpinojoZqcQ6eDLXhEREVlRWFgIV1dXeHh4WNwpJCIiakuc7khERB3Wnj17sGXLFqt1Z86cAQCr+3kRERG1JSZpRETUYW3btg1PP/00KisrLeqMK2taWzCDiIioLTFJIyKiDi0xMRGTJk3C7t27kZaWhiNHjmDu3LlYu3YtpkyZgj/84Q9tPUQiIiIzfCaNiIg6rLS0NHz55ZfYtGkTUlNTkZ2dDY1Gg549e2LGjBmYMWMGFApFWw+TiIjIDJM0IiIiIiKidoTTHYmIiIiIiNoRJmlERERERETtCJM0IiIiIiKidoRJGhERERERUTvCJI2IiIiIiKgdYZJGRERERETUjjBJIyIiIiIiakeYpBEREREREbUj/x/IQjAf2mq78AAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_mean'], y_axis='Inv', component='LiI_Power_stored',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# x = results_dict.results['scenario_max'].output['Inv'].values()\n", - "# x2 = results_dict.results['scenario_mean'].output['Inv'].values()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_mean'], y_axis='P', component='PV',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_mean'], y_axis='P', component='WF',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "PV_plot = [results.results['scenario_mean'].output['P'][('generation', 'PV', *i)] for i in product(range(horizon), range(365), range(24))][:24*7]\n", - "WF_plot = [results.results['scenario_mean'].output['P'][('generation', 'WF', *i)] for i in product(range(horizon), range(365), range(24))][:24*7]\n", - "LiI_plot = [results.results['scenario_mean'].output['Inv'][('generation', 'LiI_Power_stored', *i)] for i in product(range(horizon), range(365), range(24))][:24*7]\n", - "# LiI_plot = [results.results['scenario_mean'].output['P'][('generation', 'LiI', *i)] for i in product(range(horizon), range(365), range(24))][:24*7]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - "fig, ax = plt.subplots(figsize=(9,6))\n", - "ax2 = ax.twinx()\n", - "x_ = list(range(len(PV_plot)))\n", - "ax.plot(x_, PV_plot, label = 'PV', color = 'orange')\n", - "ax.plot(x_, WF_plot, label = 'WF', color = 'blue')\n", - "ax2.plot(x_, LiI_plot, label = 'LiI', color = 'green', linestyle = '--')\n", - "\n", - "# ax = axis_formatter(axes=ax, xcord=x_, axis_labels='M')\n", - "plt.title('Power production and energy storage levels')\n", - "ax.set_ylabel(\"Production rate (MW)\")\n", - "ax2.set_ylabel(\"Inventory Level (MJ)\")\n", - "ax2.yaxis.label.set_color('green')\n", - "ax2.set_xlabel(\"Scheduling Horizon (1st week)\")\n", - "\n", - "lines, labels = ax.get_legend_handles_labels()\n", - "lines2, labels2 = ax2.get_legend_handles_labels()\n", - "ax2.legend(lines + lines2, labels + labels2, loc=\"upper left\")\n", - "\n", - "# ax2.set_legend()\n", - "plt.grid(alpha=0.3)\n", - "plt.rcdefaults()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "values = [(i,j) for i,j in results.results['scenario_mean'].output['Capex_process'].items() if j>0]\n", - "x = [i[0][1] for i in values]\n", - "y = [i[1] for i in values]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[240000.0,\n", - " 94709.7134382275,\n", - " 354614.5238533652,\n", - " 6787282.050700706,\n", - " 657336.7260390162]" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "y" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['H2_Comp', 'LiI', 'PV', 'WF', 'PEM']" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhYAAAGsCAYAAACB/u5dAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAeo0lEQVR4nO3de5SU9XnA8WcFGRV2l4sgIIuLKCAohKpBg1w2NSoFj6aVEw1WLtaeWlSUJFWac6rG2MWaGJvEQ6wV0FaDmqo1eNeyYuWSBfVEWougUQliSCLsspgMl93+YZ1m5TrLby8Dn8857x/z7jvzPvsyB768885MUUNDQ0MAACRwWGsPAAAcPIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQTKuFxeLFi+P888+P3r17R1FRUTz++ON5P0ZDQ0N85zvfiQEDBkQmk4ljjz02br311vTDAgD7pX1r7Xjr1q0xbNiwmDZtWvzpn/5pkx5jxowZ8dxzz8V3vvOdOOWUU+Kjjz6Kjz76KPGkAMD+KmoLX0JWVFQUjz32WFx44YW5ddlsNr75zW/Gj3/849i8eXOcfPLJcdttt8XYsWMjIuLNN9+MoUOHxqpVq2LgwIGtMzgA0EibvcbiqquuiqVLl8aCBQvi5z//eUycODHOO++8WLNmTURE/PSnP43jjz8+Fi5cGP369Yvy8vL4i7/4C2csAKAVtcmweP/992PevHnxyCOPxKhRo6J///7x9a9/Pc4666yYN29eRES888478d5778UjjzwS999/f8yfPz9WrlwZF110UStPDwCHrla7xmJv3njjjdi5c2cMGDCg0fpsNhvdunWLiIj6+vrIZrNx//3357a7995749RTT43Vq1d7eQQAWkGbDIu6urpo165drFy5Mtq1a9foZ506dYqIiF69ekX79u0bxcdJJ50UEZ+c8RAWANDy2mRYDB8+PHbu3BkbN26MUaNG7XabkSNHxo4dO+Ltt9+O/v37R0TEW2+9FRERxx13XIvNCgD8v1Z7V0hdXV2sXbs2Ij4JiTvuuCMqKiqia9eu0bdv37j00kvjlVdeie9+97sxfPjw+PWvfx0vvvhiDB06NMaPHx/19fVx+umnR6dOneLOO++M+vr6mD59epSUlMRzzz3XGr8SABzyWi0sqqqqoqKiYpf1kydPjvnz58f27dvj29/+dtx///2xfv36OProo+OMM86Im2++OU455ZSIiPjggw/i6quvjueeey46duwY48aNi+9+97vRtWvXlv51AIBoI59jAQAcHNrk200BgMIkLACAZFr8XSH19fXxwQcfRHFxcRQVFbX07gGAJmhoaIgtW7ZE796947DD9nxeosXD4oMPPoiysrKW3i0AkMC6deuiT58+e/x5i4dFcXFxRHwyWElJSUvvHgBogtra2igrK8v9O74neYVFeXl5vPfee7us/+u//uu466679usxPn35o6SkRFgAQIHZ12UMeYVFdXV17Ny5M3d71apV8aUvfSkmTpzYtOkAgINKXmHRvXv3Rrdnz54d/fv3jzFjxiQdCgAoTE2+xmLbtm3xr//6rzFz5sy9nhbJZrORzWZzt2tra5u6SwCgjWvy51g8/vjjsXnz5pgyZcpet6usrIzS0tLc4h0hAHDwavJHep977rnRoUOH+OlPf7rX7XZ3xqKsrCxqampcvAkABaK2tjZKS0v3+e93k14Kee+99+KFF16IRx99dJ/bZjKZyGQyTdkNAFBgmvRSyLx586JHjx4xfvz41PMAAAUs77Cor6+PefPmxeTJk6N9+xb/fC0AoA3LOyxeeOGFeP/992PatGnNMQ8AUMDyPuVwzjnnRBOv9wQADnK+Nh0ASEZYAADJCAsAIBlhAQAk4/2iAHkov+HJ1h6hYLw722cdHYqcsQAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyeQdFuvXr49LL700unXrFkceeWSccsopsWLFiuaYDQAoMO3z2XjTpk0xcuTIqKioiKeffjq6d+8ea9asiS5dujTXfABAAckrLG677bYoKyuLefPm5db169cv+VAAQGHK66WQJ554Ik477bSYOHFi9OjRI4YPHx733HPPXu+TzWajtra20QIAHJzyCot33nkn5syZEyeeeGI8++yzceWVV8Y111wT99133x7vU1lZGaWlpbmlrKzsgIcGANqmooaGhob93bhDhw5x2mmnxZIlS3Lrrrnmmqiuro6lS5fu9j7ZbDay2Wzudm1tbZSVlUVNTU2UlJQcwOgALa/8hidbe4SC8e7s8a09AgnV1tZGaWnpPv/9zuuMRa9evWLw4MGN1p100knx/vvv7/E+mUwmSkpKGi0AwMEpr7AYOXJkrF69utG6t956K4477rikQwEAhSmvsLjuuuti2bJl8fd///exdu3aePDBB+Of/umfYvr06c01HwBQQPIKi9NPPz0ee+yx+PGPfxwnn3xy3HLLLXHnnXfGpEmTmms+AKCA5PU5FhEREyZMiAkTJjTHLABAgfNdIQBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAyeYXFTTfdFEVFRY2WQYMGNddsAECBaZ/vHYYMGRIvvPDC/z9A+7wfAgA4SOVdBe3bt4+ePXs2xywAQIHL+xqLNWvWRO/eveP444+PSZMmxfvvv7/X7bPZbNTW1jZaAICDU15hMWLEiJg/f34888wzMWfOnPjFL34Ro0aNii1btuzxPpWVlVFaWppbysrKDnhoAKBtKmpoaGho6p03b94cxx13XNxxxx1x+eWX73abbDYb2Ww2d7u2tjbKysqipqYmSkpKmrprgFZRfsOTrT1CwXh39vjWHoGEamtro7S0dJ//fh/QlZedO3eOAQMGxNq1a/e4TSaTiUwmcyC7AQAKxAF9jkVdXV28/fbb0atXr1TzAAAFLK+w+PrXvx4vvfRSvPvuu7FkyZL48pe/HO3atYtLLrmkueYDAApIXi+F/PKXv4xLLrkkfvvb30b37t3jrLPOimXLlkX37t2baz4AoIDkFRYLFixorjkAgIOA7woBAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkjmgsJg9e3YUFRXFtddem2gcAKCQNTksqqur4+67746hQ4emnAcAKGBNCou6urqYNGlS3HPPPdGlS5fUMwEABapJYTF9+vQYP358nH322fvcNpvNRm1tbaMFADg4tc/3DgsWLIhXX301qqur92v7ysrKuPnmm/MeDAAoPHmdsVi3bl3MmDEjHnjggTjiiCP26z6zZs2Kmpqa3LJu3bomDQoAtH15nbFYuXJlbNy4Mf7oj/4ot27nzp2xePHi+OEPfxjZbDbatWvX6D6ZTCYymUyaaQGANi2vsPjjP/7jeOONNxqtmzp1agwaNCiuv/76XaICADi05BUWxcXFcfLJJzda17Fjx+jWrdsu6wGAQ49P3gQAksn7XSGfVVVVlWAMAOBg4IwFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkExeYTFnzpwYOnRolJSURElJSZx55pnx9NNPN9dsAECBySss+vTpE7Nnz46VK1fGihUr4otf/GJccMEF8V//9V/NNR8AUEDa57Px+eef3+j2rbfeGnPmzIlly5bFkCFDkg4GABSevMLiD+3cuTMeeeSR2Lp1a5x55pl73C6bzUY2m83drq2tbeouAYA2Lu+LN994443o1KlTZDKZ+Ku/+qt47LHHYvDgwXvcvrKyMkpLS3NLWVnZAQ0MALRdeYfFwIED4/XXX4/ly5fHlVdeGZMnT47//u//3uP2s2bNipqamtyybt26AxoYAGi78n4ppEOHDnHCCSdERMSpp54a1dXV8Y//+I9x991373b7TCYTmUzmwKYEAArCAX+ORX19faNrKACAQ1deZyxmzZoV48aNi759+8aWLVviwQcfjKqqqnj22Webaz4AoIDkFRYbN26Myy67LDZs2BClpaUxdOjQePbZZ+NLX/pSc80HABSQvMLi3nvvba45AICDgO8KAQCSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJLJKywqKyvj9NNPj+Li4ujRo0dceOGFsXr16uaaDQAoMHmFxUsvvRTTp0+PZcuWxfPPPx/bt2+Pc845J7Zu3dpc8wEABaR9Phs/88wzjW7Pnz8/evToEStXrozRo0cnHQwAKDx5hcVn1dTURERE165d97hNNpuNbDabu11bW3sguwQA2rAmX7xZX18f1157bYwcOTJOPvnkPW5XWVkZpaWluaWsrKypuwQA2rgmh8X06dNj1apVsWDBgr1uN2vWrKipqckt69ata+ouAYA2rkkvhVx11VWxcOHCWLx4cfTp02ev22YymchkMk0aDgAoLHmFRUNDQ1x99dXx2GOPRVVVVfTr16+55gIAClBeYTF9+vR48MEH49///d+juLg4Pvzww4iIKC0tjSOPPLJZBgQACkde11jMmTMnampqYuzYsdGrV6/c8tBDDzXXfABAAcn7pRAAgD3xXSEAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBkhAUAkIywAACSERYAQDLCAgBIRlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJLJOywWL14c559/fvTu3TuKiori8ccfb4axAIBClHdYbN26NYYNGxZ33XVXc8wDABSw9vneYdy4cTFu3LjmmAUAKHB5h0W+stlsZLPZ3O3a2trm3iUA0Eqa/eLNysrKKC0tzS1lZWXNvUsAoJU0e1jMmjUrampqcsu6deuae5cAQCtp9pdCMplMZDKZ5t4NANAG+BwLACCZvM9Y1NXVxdq1a3O3f/GLX8Trr78eXbt2jb59+yYdDgAoLHmHxYoVK6KioiJ3e+bMmRERMXny5Jg/f36ywQCAwpN3WIwdOzYaGhqaYxYAoMC5xgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMsICAEhGWAAAyQgLACCZvL8rBABaWvkNT7b2CAXj3dnjW3X/zlgAAMkICwAgGWEBACQjLACAZIQFAJCMsAAAkhEWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGSEBQCQjLAAAJIRFgBAMu1bewCgacpveLK1RygY784e39ojwCHDGQsAIBlhAQAkIywAgGSEBQCQjLAAAJI5qN4V4ir5/ecqeQCagzMWAEAywgIASEZYAADJCAsAIBlhAQAkIywAgGQOqreb0jq8zXf/eZsvcLBr0hmLu+66K8rLy+OII46IESNGxM9+9rPUcwEABSjvsHjooYdi5syZceONN8arr74aw4YNi3PPPTc2btzYHPMBAAUk77C444474oorroipU6fG4MGD40c/+lEcddRRMXfu3OaYDwAoIHldY7Ft27ZYuXJlzJo1K7fusMMOi7PPPjuWLl262/tks9nIZrO52zU1NRERUVtb25R596o++3HyxzxYpTz+jvv+c9xbh+PeOhz31tEc/77+4eM2NDTsfcOGPKxfv74hIhqWLFnSaP03vvGNhs9//vO7vc+NN97YEBEWi8VisVgOgmXdunV7bYVmf1fIrFmzYubMmbnb9fX18dFHH0W3bt2iqKiouXff6mpra6OsrCzWrVsXJSUlrT3OIcNxbx2Oe+tw3FveoXjMGxoaYsuWLdG7d++9bpdXWBx99NHRrl27+NWvftVo/a9+9avo2bPnbu+TyWQik8k0Wte5c+d8dntQKCkpOWSefG2J4946HPfW4bi3vEPtmJeWlu5zm7wu3uzQoUOceuqp8eKLL+bW1dfXx4svvhhnnnlm/hMCAAeVvF8KmTlzZkyePDlOO+20+PznPx933nlnbN26NaZOndoc8wEABSTvsPjKV74Sv/71r+Pv/u7v4sMPP4zPfe5z8cwzz8QxxxzTHPMVvEwmEzfeeOMuLwfRvBz31uG4tw7HveU55ntW1LDP940AAOwfX0IGACQjLACAZIQFAJCMsOCgVVRUFI8//nhrjwFwSDkkwmLKlClx4YUX7rK+qqoqioqKYvPmzVFVVRUXXHBB9OrVKzp27Bif+9zn4oEHHshrP7W1tfHNb34zBg0aFEcccUT07Nkzzj777Hj00Uf3/dnqNMme/mwjIjZs2BDjxo3L3RYaaUyZMiWKioqiqKgoOnToECeccEJ861vfioceeijatWsX69ev3+39TjzxxEafwsu+/ehHP4ri4uLYsWNHbl1dXV0cfvjhMXbs2Ebbfvr32dtvvx3l5eW5P6NPlz59+rTw9IVlT8/rHTt25I7t7pYPP/wwIiJuuummKCoqivPOO2+Xx7799tujqKholz+zg9UhERb7Y8mSJTF06ND4t3/7t/j5z38eU6dOjcsuuywWLly4X/ffvHlzfOELX4j7778/Zs2aFa+++mosXrw4vvKVr8Tf/M3f5L58jZbTs2dPbwVrJuedd15s2LAh1qxZE1/72tfipptuirfeeiu6desW99133y7bL168ONauXRuXX355K0xbuCoqKqKuri5WrFiRW/fyyy9Hz549Y/ny5fH73/8+t37RokXRt2/f6N+/f0REfOtb34oNGzbkltdee63F5y80u3te33777bmfr169utEx3bBhQ/To0SP38169esWiRYvil7/8ZaPHnTt3bvTt27fFfo/WJiz+z9/+7d/GLbfcEl/4wheif//+MWPGjDjvvPPi0Ucf3e/7v/vuu7F8+fKYPHlyDB48OAYMGBBXXHFFvP7669GpU6eIiNi0aVNcdtll0aVLlzjqqKNi3LhxsWbNmtzjzJ8/Pzp37hwLFy6MgQMHxlFHHRUXXXRRfPzxx3HfffdFeXl5dOnSJa655prYuXNn7n7l5eVxyy23xCWXXBIdO3aMY489Nu666660B6nAOEPRfDKZTPTs2TOOO+64uPLKK+Pss8+Op556Kv78z/885s+fv8v2c+fOjREjRsSQIUNaftgCNnDgwOjVq1dUVVXl1n16drVfv36xbNmyRusrKipyt4uLi6Nnz565pXv37i05ekHa3fP6iSeeyP28R48ejY5pz54947DDDmv083POOadRXC9ZsiR+85vfxPjx41v0d2lNwmIvampqomvXrvvcrr6+PhYsWBCTJk3a7ZezdOrUKdq3/+SzyKZMmRIrVqyIJ554IpYuXRoNDQ3xJ3/yJ7F9+/bc9h9//HF8//vfjwULFsQzzzwTVVVV8eUvfzmeeuqpeOqpp+Jf/uVf4u67746f/OQnjfZz++23x7Bhw+K1116LG264IWbMmBHPP//8AR4F2Lcjjzwytm3bFpdffnmsWbMmFi9enPtZXV1d/OQnP3G2ookqKipi0aJFuduLFi2KsWPHxpgxY3Lrf/e738Xy5csbhQUH7tPndT6mTZvWKK7nzp0bkyZNig4dOiSeru06ZMJi4cKF0alTp0bLH77+/lkPP/xwVFdX79dHlf/mN7+JTZs2xaBBg/a63Zo1a+KJJ56If/7nf45Ro0bFsGHD4oEHHoj169c3+p/19u3bY86cOTF8+PAYPXp0XHTRRfGf//mfce+998bgwYNjwoQJu/xlExExcuTIuOGGG2LAgAFx9dVXx0UXXRTf+9739jk/NFVDQ0O88MIL8eyzz8YXv/jFGDx4cJxxxhkxd+7c3DYPP/xwNDQ0xMUXX9yKkxauioqKeOWVV2LHjh2xZcuWeO2112LMmDExevTo3JmMpUuXRjabbRQW119/faO/777//e+30m9QeD77vP5Unz59Gh3T3Z2BmzBhQtTW1sbixYtj69at8fDDD8e0adNacvxW1+xfm95WVFRUxJw5cxqtW758eVx66aW7bLto0aKYOnVq3HPPPft16nZ/L8x88803o3379jFixIjcum7dusXAgQPjzTffzK076qijcq+TRkQcc8wxUV5enns55dN1GzdubPT4n/0iuDPPPDPuvPPO/ZoN8vFpqG/fvj3q6+vjq1/9atx0000R8cn/2K677rr4wQ9+EMXFxTF37tyYOHFiFBcXt+7QBWrs2LGxdevWqK6ujk2bNsWAAQOie/fuMWbMmJg6dWr8/ve/j6qqqjj++OMbvY7/jW98I6ZMmZK7ffTRR7fC9IVlT8/r6urqiPjk+pY/fB4ffvjhuzzG4YcfHpdeemnMmzcv3nnnnRgwYEAMHTq0xX6HtuCQCYuOHTvGCSec0GjdZy+wiYh46aWX4vzzz4/vfe97cdlll+3XY3fv3j06d+4c//M//5Nk1s8+WYuKina7rr6+Psn+IF+fhnqHDh2id+/euZf6IiIuvvjiuO666+Lhhx+O0aNHxyuvvBKVlZWtOG1hO+GEE6JPnz6xaNGi2LRpU4wZMyYiInr37h1lZWWxZMmSWLRoUaP/WUd8EhKf/TuPvdvb8zoiol+/ftG5c+d9Ps60adNixIgRsWrVqkPubEXEIfRSyP6oqqqK8ePHx2233RZ/+Zd/ud/3O+yww+Liiy+OBx54ID744INdfl5XVxc7duyIk046KXbs2BHLly/P/ey3v/1trF69OgYPHnzA8//hhVyf3j7ppJMO+HHhsz4N9b59++7yl29xcXFMnDgx5s6dG/PmzYsBAwbEqFGjWmnSg0NFRUVUVVVFVVVVo7csjh49Op5++un42c9+5vqKBPb2vM7HkCFDYsiQIbFq1ar46le/mnDCwnDInLHYl0WLFsWECRNixowZ8Wd/9me59yZ36NBhvy7gvPXWW6OqqipGjBgRt956a5x22mlx+OGHx8svvxyVlZVRXV0dJ554YlxwwQVxxRVXxN133x3FxcVxww03xLHHHhsXXHDBAf8Or7zySvzDP/xDXHjhhfH888/HI488Ek8++eQBP25bV1NTE6+//nqjdd26dWudYYiIiMsvvzxGjRoVb775Zlx//fWtPU7Bq6ioiOnTp8f27dtzZywiIsaMGRNXXXVVbNu2TVi0gI0bNzZ6i2/EJ3/X7O4lkf/4j/+I7du379cZjoONsPg/9913X3z88cdRWVnZ6LTtmDFjGr3Va0+6du0ay5Yti9mzZ8e3v/3teO+996JLly5xyimnxO233x6lpaURETFv3ryYMWNGTJgwIbZt2xajR4+Op556ardPzHx97WtfixUrVsTNN98cJSUlcccdd8S55557wI/b1lVVVcXw4cMbrfMOhNZ11llnxcCBA2Pt2rX7/ZIie1ZRURG/+93vYtCgQXHMMcfk1o8ZMya2bNmSe1sqzWvgwIG7rFu6dGmcccYZu6zv2LFjS4zUJvna9INEeXl5XHvttXHttde29igAHMJcYwEAJCMs9tNnPwPjD5eXX365tccDgDbBSyH7ae3atXv82bHHHhtHHnlkC04DAG2TsAAAkvFSCACQjLAAAJIRFgBAMsICAEhGWAAAyQgLACAZYQEAJCMsAIBk/hf05A9WlPS8BwAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.bar(x,y)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_mean'], source='generation', sink='production', resource='Power', transport='Grid')\n", - "plot_results.transport(results=results.results['scenario_mean'], source='generation', sink='sequestration', resource='CO2', transport='carbon')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='AqOff',\n", - " location='sequestration', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='production', resource='Power', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='sequestration', resource='CO2', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'consumption', 'Grid', 0): 1.0,\n", - " ('generation', 'consumption', 'carbon', 0): None,\n", - " ('generation', 'consumption', 'hydrogen', 0): None,\n", - " ('generation', 'production', 'Grid', 0): 1.0,\n", - " ('generation', 'production', 'carbon', 0): None,\n", - " ('generation', 'production', 'hydrogen', 0): None,\n", - " ('generation', 'sequestration', 'Grid', 0): 1.0,\n", - " ('generation', 'sequestration', 'carbon', 0): 1.0,\n", - " ('generation', 'sequestration', 'hydrogen', 0): None,\n", - " ('production', 'consumption', 'Grid', 0): None,\n", - " ('production', 'consumption', 'carbon', 0): None,\n", - " ('production', 'consumption', 'hydrogen', 0): 1.0,\n", - " ('production', 'production', 'Grid', 0): None,\n", - " ('production', 'production', 'carbon', 0): None,\n", - " ('production', 'production', 'hydrogen', 0): None,\n", - " ('production', 'sequestration', 'Grid', 0): None,\n", - " ('production', 'sequestration', 'carbon', 0): 1.0,\n", - " ('production', 'sequestration', 'hydrogen', 0): None}" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_min'].output['X_T']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/scenario_green.ipynb b/examples/publication/scenario_green.ipynb deleted file mode 100644 index 7bbabfee..00000000 --- a/examples/publication/scenario_green.ipynb +++ /dev/null @@ -1,1472 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP Case Study (Green)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_7360\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i, stretch= True) for i in range(5)]) #, " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_7360\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=0,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=0, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=0, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "location_generation = Location(name='generation', processes= {PV, WF, LiI}, \n", - " capacity_factor={PV: solar_houston[:8760], WF: wind_houston[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "location_production = Location(name='production', processes= {PEM}, price_factor={\n", - " CH4: ng_price_df[:8760]}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)\n", - "\n", - "location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "H2_pipeline = Transport(name= 'hydrogen', resources= {H2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 2\n", - " , label= 'Pipeline for hydrogen transportation')\n", - "\n", - "CO2_pipeline = Transport(name= 'carbon', resources= {CO2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 1\n", - " , label= 'Pipeline for carbon dioxide transportation')\n", - "\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.01, trans_cost= 0.5, label= 'Power Transmission')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [20, 45, 100],\n", - " [0, 60, 50]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Grid, CO2_pipeline], [Grid]],\n", - " [[],[CO2_pipeline], [H2_pipeline]], \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [location_generation, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# # plot_location.demand_factor(resource=Power, location=houston)\n", - "\n", - "# plot_location.capacity_factor(process=PV, location=location_generation_max)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation_max)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "locset = [location_production, location_generation, location_sequestration, location_consumption]\n", - "demand_dict = {i: {H2_C: 1} if i == location_consumption else {H2_C: 0} for i in locset}\n", - "\n", - "\n", - "# scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand= demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_green', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand=demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "casestudy = CaseStudy(name = 'casestudy', scenarios= [scenario])" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[scenario_green]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.scenarios" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "inventory_zero = {i: {(LiI, Power): 25} if i == location_generation else {(LiI, Power): 0} for i in locset}" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario_green': }" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 3031239 rows, 3180161 columns and 5994740 nonzeros\n", - "Model fingerprint: 0xce45ebdd\n", - "Variable types: 3180143 continuous, 18 integer (18 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+06]\n", - "Presolve removed 2981565 rows and 3138280 columns\n", - "Presolve time: 3.67s\n", - "Presolved: 49674 rows, 41881 columns, 133427 nonzeros\n", - "Variable types: 41881 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 4223 5.4770902e+08 0.000000e+00 1.240415e+07 5s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 9.570758e+06, 35969 iterations, 2.93 seconds (4.32 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 9570757.7235 9570757.72 0.00% - 7s\n", - "\n", - "Explored 1 nodes (35969 simplex iterations) in 8.01 seconds (10.58 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 9.57076e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 9.570757723487e+06, best bound 9.570757723487e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = casestudy.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "# results_dict = {i.name: solve(scenario=i, instance=milp_dict[i.name], solver='gurobi',\n", - "# name=f\"results_master\", print_solversteps=True, saveformat = '.pkl') for i in [scenario, scenario_max, scenario_min, scenario_mean]}" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "9570757.723487461" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "9570757.723487461" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_green'].output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1092.5522515396647" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_green'].divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_green'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='generation', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_green'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='production', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_green'], y_axis='P', component='PEM',\n", - " location='production', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('CO2_AQoff', 0): 0.0,\n", - " ('H2(C)', 0): 8759.999999999998,\n", - " ('O2', 0): 70094.86005089107}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_green'].output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_green'], y_axis='S', component='H2(C)',\n", - " location='consumption', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_green'], y_axis='Inv', component='LiI_Power_stored',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_green'], y_axis='P', component='PV',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_green'], y_axis='P', component='WF',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_green'], source='generation', sink='production', resource='Power', transport='Grid')\n", - "plot_results.transport(results=results.results['scenario_green'], source='generation', sink='sequestration', resource='CO2', transport='carbon')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_green'], y_axis='P', component='AqOff',\n", - " location='sequestration', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "capex = results.results['scenario_green'].output['Capex_network'][0]*scenario.annualization_factor\n", - "fopex = results.results['scenario_green'].output['Fopex_network'][0]\n", - "vopex = results.results['scenario_green'].output['Vopex_network'][0]\n", - "trans = sum(results.results['scenario_green'].output['Trans_cost'].values())" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(1050582.9635106456, 1023993.2050874128, 0.0, 1306313.5148431507)" - ] - }, - "execution_count": 43, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "capex, fopex, vopex, trans" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'AqOff', 0): 0.0,\n", - " ('consumption', 'H2_Comp', 0): 0.0,\n", - " ('consumption', 'LiI', 0): 0.0,\n", - " ('consumption', 'LiI_discharge', 0): 0.0,\n", - " ('consumption', 'PEM', 0): 0.0,\n", - " ('consumption', 'PV', 0): 0.0,\n", - " ('consumption', 'WF', 0): 0.0,\n", - " ('generation', 'AqOff', 0): 0.0,\n", - " ('generation', 'H2_Comp', 0): 0.0,\n", - " ('generation', 'LiI', 0): 0.0,\n", - " ('generation', 'LiI_discharge', 0): 0.0,\n", - " ('generation', 'PEM', 0): 0.0,\n", - " ('generation', 'PV', 0): 0.0,\n", - " ('generation', 'WF', 0): 0.0,\n", - " ('production', 'AqOff', 0): 0.0,\n", - " ('production', 'H2_Comp', 0): 0.0,\n", - " ('production', 'LiI', 0): 0.0,\n", - " ('production', 'LiI_discharge', 0): 0.0,\n", - " ('production', 'PEM', 0): 0.0,\n", - " ('production', 'PV', 0): 0.0,\n", - " ('production', 'WF', 0): 0.0,\n", - " ('sequestration', 'AqOff', 0): 0.0,\n", - " ('sequestration', 'H2_Comp', 0): 0.0,\n", - " ('sequestration', 'LiI', 0): 0.0,\n", - " ('sequestration', 'LiI_discharge', 0): 0.0,\n", - " ('sequestration', 'PEM', 0): 0.0,\n", - " ('sequestration', 'PV', 0): 0.0,\n", - " ('sequestration', 'WF', 0): 0.0}" - ] - }, - "execution_count": 44, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_green'].output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : total vopex from network\n", - " Size=28, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'AqOff', 0) : 0.0 : Vopex_process[consumption,AqOff,0] - 4140*P_location[consumption,AqOff,0] : 0.0 : True\n", - " ('consumption', 'H2_Comp', 0) : 0.0 : Vopex_process[consumption,H2_Comp,0] + 0*P_location[consumption,H2_Comp,0] : 0.0 : True\n", - " ('consumption', 'LiI', 0) : 0.0 : Vopex_process[consumption,LiI,0] + 0*P_location[consumption,LiI,0] : 0.0 : True\n", - " ('consumption', 'LiI_discharge', 0) : 0.0 : Vopex_process[consumption,LiI_discharge,0] + 0*P_location[consumption,LiI_discharge,0] : 0.0 : True\n", - " ('consumption', 'PEM', 0) : 0.0 : Vopex_process[consumption,PEM,0] + 0*P_location[consumption,PEM,0] : 0.0 : True\n", - " ('consumption', 'PV', 0) : 0.0 : Vopex_process[consumption,PV,0] + 0*P_location[consumption,PV,0] : 0.0 : True\n", - " ('consumption', 'WF', 0) : 0.0 : Vopex_process[consumption,WF,0] + 0*P_location[consumption,WF,0] : 0.0 : True\n", - " ('generation', 'AqOff', 0) : 0.0 : Vopex_process[generation,AqOff,0] - 4140*P_location[generation,AqOff,0] : 0.0 : True\n", - " ('generation', 'H2_Comp', 0) : 0.0 : Vopex_process[generation,H2_Comp,0] + 0*P_location[generation,H2_Comp,0] : 0.0 : True\n", - " ('generation', 'LiI', 0) : 0.0 : Vopex_process[generation,LiI,0] + 0*P_location[generation,LiI,0] : 0.0 : True\n", - " ('generation', 'LiI_discharge', 0) : 0.0 : Vopex_process[generation,LiI_discharge,0] + 0*P_location[generation,LiI_discharge,0] : 0.0 : True\n", - " ('generation', 'PEM', 0) : 0.0 : Vopex_process[generation,PEM,0] + 0*P_location[generation,PEM,0] : 0.0 : True\n", - " ('generation', 'PV', 0) : 0.0 : Vopex_process[generation,PV,0] + 0*P_location[generation,PV,0] : 0.0 : True\n", - " ('generation', 'WF', 0) : 0.0 : Vopex_process[generation,WF,0] + 0*P_location[generation,WF,0] : 0.0 : True\n", - " ('production', 'AqOff', 0) : 0.0 : Vopex_process[production,AqOff,0] - 4140*P_location[production,AqOff,0] : 0.0 : True\n", - " ('production', 'H2_Comp', 0) : 0.0 : Vopex_process[production,H2_Comp,0] + 0*P_location[production,H2_Comp,0] : 0.0 : True\n", - " ('production', 'LiI', 0) : 0.0 : Vopex_process[production,LiI,0] + 0*P_location[production,LiI,0] : 0.0 : True\n", - " ('production', 'LiI_discharge', 0) : 0.0 : Vopex_process[production,LiI_discharge,0] + 0*P_location[production,LiI_discharge,0] : 0.0 : True\n", - " ('production', 'PEM', 0) : 0.0 : Vopex_process[production,PEM,0] + 0*P_location[production,PEM,0] : 0.0 : True\n", - " ('production', 'PV', 0) : 0.0 : Vopex_process[production,PV,0] + 0*P_location[production,PV,0] : 0.0 : True\n", - " ('production', 'WF', 0) : 0.0 : Vopex_process[production,WF,0] + 0*P_location[production,WF,0] : 0.0 : True\n", - " ('sequestration', 'AqOff', 0) : 0.0 : Vopex_process[sequestration,AqOff,0] - 4140*P_location[sequestration,AqOff,0] : 0.0 : True\n", - " ('sequestration', 'H2_Comp', 0) : 0.0 : Vopex_process[sequestration,H2_Comp,0] + 0*P_location[sequestration,H2_Comp,0] : 0.0 : True\n", - " ('sequestration', 'LiI', 0) : 0.0 : Vopex_process[sequestration,LiI,0] + 0*P_location[sequestration,LiI,0] : 0.0 : True\n", - " ('sequestration', 'LiI_discharge', 0) : 0.0 : Vopex_process[sequestration,LiI_discharge,0] + 0*P_location[sequestration,LiI_discharge,0] : 0.0 : True\n", - " ('sequestration', 'PEM', 0) : 0.0 : Vopex_process[sequestration,PEM,0] + 0*P_location[sequestration,PEM,0] : 0.0 : True\n", - " ('sequestration', 'PV', 0) : 0.0 : Vopex_process[sequestration,PV,0] + 0*P_location[sequestration,PV,0] : 0.0 : True\n", - " ('sequestration', 'WF', 0) : 0.0 : Vopex_process[sequestration,WF,0] + 0*P_location[sequestration,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_green'].constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_location_vopex : sums up vopex from process over a locations\n", - " Size=4, Index=constraint_location_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 0) : 0.0 : Vopex_location[consumption,0] - (Vopex_process[consumption,AqOff,0] + Vopex_process[consumption,H2_Comp,0] + Vopex_process[consumption,LiI,0] + Vopex_process[consumption,LiI_discharge,0] + Vopex_process[consumption,PEM,0] + Vopex_process[consumption,PV,0] + Vopex_process[consumption,WF,0]) : 0.0 : True\n", - " ('generation', 0) : 0.0 : Vopex_location[generation,0] - (Vopex_process[generation,AqOff,0] + Vopex_process[generation,H2_Comp,0] + Vopex_process[generation,LiI,0] + Vopex_process[generation,LiI_discharge,0] + Vopex_process[generation,PEM,0] + Vopex_process[generation,PV,0] + Vopex_process[generation,WF,0]) : 0.0 : True\n", - " ('production', 0) : 0.0 : Vopex_location[production,0] - (Vopex_process[production,AqOff,0] + Vopex_process[production,H2_Comp,0] + Vopex_process[production,LiI,0] + Vopex_process[production,LiI_discharge,0] + Vopex_process[production,PEM,0] + Vopex_process[production,PV,0] + Vopex_process[production,WF,0]) : 0.0 : True\n", - " ('sequestration', 0) : 0.0 : Vopex_location[sequestration,0] - (Vopex_process[sequestration,AqOff,0] + Vopex_process[sequestration,H2_Comp,0] + Vopex_process[sequestration,LiI,0] + Vopex_process[sequestration,LiI_discharge,0] + Vopex_process[sequestration,PEM,0] + Vopex_process[sequestration,PV,0] + Vopex_process[sequestration,WF,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_green'].constraint_location_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/scenario_max.ipynb b/examples/publication/scenario_max.ipynb deleted file mode 100644 index 25457217..00000000 --- a/examples/publication/scenario_max.ipynb +++ /dev/null @@ -1,1938 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Master Energy Systems MILP Case Study" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12340\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston_max = calculate_hourly(data = solar_houston, what = 'max', column_name= 'PV_Power')\n", - "solar_houston_min = calculate_hourly(data = solar_houston, what = 'min', column_name= 'PV_Power')\n", - "solar_houston_mean = calculate_hourly(data = solar_houston, what = 'mean', column_name= 'PV_Power')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston_max = calculate_hourly(data = wind_houston, what = 'max', column_name= 'feedin_power_plant')\n", - "wind_houston_min = calculate_hourly(data = wind_houston, what = 'min', column_name= 'feedin_power_plant')\n", - "wind_houston_mean = calculate_hourly(data = wind_houston, what = 'mean', column_name= 'feedin_power_plant')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)]) #, stretch = True" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12340\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "location_generation = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston[:8760], WF: wind_houston[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_generation_max = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_max[:8760], WF: wind_houston_max[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_generation_min = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_min[:8760], WF: wind_houston_min[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_generation_mean = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_mean[:8760], WF: wind_houston_mean[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_production = Location(name='production', processes= {PEM, SMRH}, price_factor={\n", - " CH4: ng_price_df[:365]}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "H2_pipeline = Transport(name= 'hydrogen', resources= {H2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 2\n", - " , label= 'Pipeline for hydrogen transportation')\n", - "\n", - "CO2_pipeline = Transport(name= 'carbon', resources= {CO2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 1.667\n", - " , label= 'Pipeline for carbon dioxide transportation')\n", - "\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.01, trans_cost= 0.5, label= 'Power Transmission')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [20, 45, 100],\n", - " [0, 60, 50]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Grid, CO2_pipeline], [Grid]],\n", - " [[],[CO2_pipeline], [H2_pipeline]], \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [location_generation, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "network_max = Network(name= 'Network', source_locations= [location_generation_max, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "network_min = Network(name= 'Network', source_locations= [location_generation_min, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "network_mean = Network(name= 'Network', source_locations= [location_generation_mean, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {Grid},\n", - " ('generation', 'sequestration'): {Grid, carbon},\n", - " ('generation', 'consumption'): {Grid},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {carbon},\n", - " ('production', 'consumption'): {hydrogen}}" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "network.transport_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "network.transport_avail_dict" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# plot_location.demand_factor(resource=H2_C, location=location_consumption)\n", - "\n", - "# plot_location.capacity_factor(process=PV, location=location_generation_max)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation_max)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level\n", - "6. capacity scale level - manages the capacity that can be accessed " - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "locset = [location_production, location_generation_max, location_sequestration, location_consumption]\n", - "demand_dict = {i: {H2_C: 1} if i == location_consumption else {H2_C: 0} for i in locset}\n", - "\n", - "\n", - "# scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand= demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "scenario_min = Scenario(name='scenario_min', network=network_min, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(min)', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "scenario_max = Scenario(name='scenario_max', network=network_max, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(max)', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "scenario_mean = Scenario(name='scenario_mean', network=network_mean, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(mean)', demand=demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
capexvopexfopex
PV1333262.04953.022623
SMRH2520000.051.5945000
NGCC2158928.04090.053320
H2_Comp1600000.03.50
LiI_discharge0.00.00
PEM1550000.00.00
WF1462000.04953.043000
AqOff552000.04140.00
LiI1302182.02000.041432
\n", - "
" - ], - "text/plain": [ - " capex vopex fopex\n", - "PV 1333262.0 4953.0 22623\n", - "SMRH 2520000.0 51.5 945000\n", - "NGCC 2158928.0 4090.0 53320\n", - "H2_Comp 1600000.0 3.5 0\n", - "LiI_discharge 0.0 0.0 0\n", - "PEM 1550000.0 0.0 0\n", - "WF 1462000.0 4953.0 43000\n", - "AqOff 552000.0 4140.0 0\n", - "LiI 1302182.0 2000.0 41432" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.cost_df" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "casestudy = CaseStudy(name = 'casestudy', scenarios= [scenario_max])#, scenario_max, scenario_min, scenario_mean])" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[scenario_max]" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.scenarios" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "# inventory_zero = {i: {(LiI, Power): 25} if i == location_generation else {(LiI, Power): 0} for i in locset}" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario_max': }" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 3276629 rows, 3460591 columns and 6767873 nonzeros\n", - "Model fingerprint: 0xdf3760bc\n", - "Variable types: 3460533 continuous, 58 integer (58 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-04, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+06]\n", - "Presolve removed 3175836 rows and 3386071 columns (presolve time = 5s) ...\n", - "Presolve removed 3175836 rows and 3386071 columns\n", - "Presolve time: 6.59s\n", - "Presolved: 100793 rows, 74520 columns, 276097 nonzeros\n", - "Variable types: 74520 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 8.6568386e+06 5.495000e+02 2.024179e+09 9s\n", - " 4297 4.5049131e+09 0.000000e+00 4.289167e+08 9s\n", - " 17327 1.8040114e+08 0.000000e+00 3.279980e+08 10s\n", - " 25661 1.5643028e+08 0.000000e+00 8.192121e+08 15s\n", - " 30909 1.5202199e+08 0.000000e+00 5.848115e+06 20s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 1.517815e+08, 38742 iterations, 11.19 seconds (16.54 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.517815e+08 1.5178e+08 0.00% - 20s\n", - "\n", - "Explored 1 nodes (38742 simplex iterations) in 20.48 seconds (23.19 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.51782e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.517815414407e+08, best bound 1.517815414406e+08, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = casestudy.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_dict = {i.name: solve(scenario=i, instance=milp_dict[i.name], solver='gurobi',\n", - "# name=f\"results_master\", print_solversteps=True, saveformat = '.pkl') for i in [scenario, scenario_max, scenario_min, scenario_mean]}" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "values = [(i,j) for i,j in results.results['scenario_max'].output['Capex_process'].items() if j>0]\n", - "max_x = [i[0][1] for i in values]\n", - "max_y = [i[1] for i in values]" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [], - "source": [ - "labels = ['H2_Comp', 'LiI', 'NGCC', 'PV', 'WF', 'PEM', 'AqOff']\n", - "plot_dict = {'max' : [240000.0, 47112.824015143975, 0, 0, 4525372.666806952, 657336.7260390162, 0],\n", - "'min': [240000.0, 1412445.763171612, 1821536.7486275448, 6274036.502104842, 4878115.151327851, 657336.7260390162, 131407.12412880117],\n", - "'mean': [240000.0, 94709.7134382275, 0, 354614.5238533652, 6787282.050700706, 657336.7260390162, 0] \n", - "}" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": {}, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "values = {'max' : {'H2_Comp': 240000.0, 'LiI': 47112.824015143975, 'NGCC': 0, 'PV': 0, 'WF': 4525372.666806952, 'PEM': 657336.7260390162, 'AqOff': 0},\n", - "'min': {'H2_Comp': 240000.0, 'LiI': 1412445.763171612, 'NGCC': 1821536.7486275448, 'PV': 6274036.502104842, 'WF': 4878115.151327851, 'PEM': 657336.7260390162, 'AqOff': 131407.12412880117},\n", - "'mean': {'H2_Comp': 240000.0, 'LiI': 94709.7134382275, 'NGCC': 0, 'PV': 354614.5238533652, 'WF': 6787282.050700706, 'PEM': 657336.7260390162, 'AqOff': 0} \n", - "}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_12340\\3345987223.py:26: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\n", - " color_map = plt.cm.get_cmap('tab20', num_categories)\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n", - "WARNING:matplotlib.font_manager:findfont: Generic family 'serif' not found because none of the following families were found: Computer Modern\n" - ] - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAv8AAAI2CAYAAADHHOdeAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAACEcUlEQVR4nO3deXwM5+MH8M/mPuQOkkgkEfeduImKq3Wro3VLHHVVq6qto1q0VKv0oEUpQmkdReu+kyCIm7q1EiJyihwiIsfz+yO/nW/W7uZcdmM+79drX2TnmWeemZ3d/cyzz8wohBACRERERET0yjPSdwOIiIiIiOjlYPgnIiIiIpIJhn8iIiIiIplg+CciIiIikgmGfyIiIiIimWD4JyIiIiKSCYZ/IiIiIiKZYPgnIiIiIpIJhn8iIiIiIplg+KdCxcfHY+HChXjjjTfg6ekJKysrWFlZwcPDA926dcO3336LmJgYfTdTq4CAACgUCgQFBem1HUFBQVAoFAgICCjT/MV96Ht9y7vZs2dDoVDAy8tLbVpoaKi0naOiol562wxVYduMDAdfJyoNLy8vKBQKzJ49W99NIR1g+CeN8vLyMHv2bFSrVg0ff/wxDhw4gHv37iEzMxOZmZm4f/8+9u7di08++QReXl4YP348MjMz9d3sEgkODpZCHJGu8EuS9IH7HREVl4m+G0CGJysrC/3798euXbsAAO7u7nj33XfRsWNHuLu7w8TEBA8ePEBYWBg2bNiA06dPY/ny5Zg6dSp7k16C9PT0IsuYmpq+hJYQERFRecPwT2omT54sBf/Bgwfj119/haWlpUqZihUrolGjRnj//ffx119/YezYsfpoapFCQ0P13QSdq1Chgr6bIGsBAQEQQui7GURELw2HOL5aGP5JxbFjx7Bs2TIAQMeOHbF+/foih8W8+eabaNq0KWxtbV9GE4mIiIiolDjmn1QsWLAAAKBQKLBs2bJij4d3d3dXC//p6enYunUrgoKCUKdOHVhbW8PMzAyurq7o0aMHNm/eXGgP6vMn6+7evRtdunRB5cqVYWlpiZo1a+KTTz7Bo0ePil0HkN+DoVAoMGLECOk5TSfN6nJd9CkvL0/aDo6OjoiOjtZYLjU1VRo3XLduXZVzOJ4/yTU5ORnTpk1DrVq1YGVlBScnJ3Tp0gV79uwpVptCQ0MxbNgweHt7w9LSEra2tmjcuDE+//zzQl9PZRuCg4MBAGvXroW/vz8cHBxgZWWFRo0aYcGCBXj27Fmhy3/69Cm++uorNGjQQGp/u3btsH79+mK1XdMJv8qTsu/evQsAmDNnjto+VXA8dnFPAi9sLPfz+/f+/fvx5ptvokqVKjAxMdFYd2m3fUlduXIFgYGB8PDwgLm5OapUqYLhw4fj+vXramUzMjJga2sLhUKBadOmFVl3x44doVAo0Lx582K3R3miq7u7u8bpK1eulF6n/v37aywzevRoKBQKtGrVSuP03NxcrFu3Dt27d4erqyvMzMzg5OSEgIAArFixAjk5OVrb9+DBA/zyyy/o3bs3PD09YWFhASsrK1SrVg3Dhw9HRESExvlKut89LyoqCuPHj4eXlxfMzc1RuXJl9O/fHxcuXNA6j9LTp0/x008/oWPHjqhUqRLMzMxQqVIldO3atdDPxOfPt7p//z4mT56MWrVqwdraulQn0+/Zswd9+/aV9jcbGxtUq1YN7dq1w5w5czTud0qJiYmYPXs2WrZsCWdnZ5ibm6Nq1aoICAjAwoULtX5mAvr9LCvtPqOpDXl5eVi+fDnatm2LihUrwsjISGW/Kc45JQ8fPsRnn30GPz8/2Nvbw8LCAl5eXhg+fDhOnz5daFsyMjKwYMECtG7dGo6OjjA1NUXFihVRt25dvPXWW1i5ciUyMjIKrYNKQBD9v8ePHwsTExMBQLRv377M9b355psCQKGPXr16iaysLI3zt2vXTgAQgYGB4vPPP9daR5UqVcTNmzeLrEMpMjKyyHY9/9Yo67oEBgYKAKJdu3al2pbK+Uv7lo2OjhaOjo4CgGjbtq3IyclRK/P2228LAMLc3FxcunRJZVpISIi0/JCQEFG1alWt2+Gjjz7S2o6nT5+KYcOGFbodK1euLM6cOaNxfmWZX3/9VfTv319rHa+//rrIzc3VWEdCQoJo0KCB1nmHDx8uZs2aJQAIT09PtfkLbovIyEjp+YKvkbbHrFmz1MoXtU94enqqzatUcP/+9NNP1ZZXsO6ybvuiFNxmu3fvFpaWlhqXYWZmJrZu3ao2/zvvvCMACFdXV437p1JkZKRQKBQCgFi2bFmx2xcaGiq14datW2rTBw0aJE13cnISeXl5amWqVasmAIgZM2aoTYuOjhZ+fn6Fbt8WLVqIxMREje2zt7cvdF6FQiG++uortflKut8VfJ1CQ0OFnZ2dxnnMzc3FwYMHtW7PK1euCG9v70KX27NnT5GRkaE275o1a6QyERER0mdTwUfB91ZRJk6cWOQ2ePfddzXOu2nTJlGhQoVC5y34/aFkCJ9lpd1nnm/D8uXLRYcOHQrdbwr7HBJCiLCwMOHg4FBoe6ZNm6Zx3gcPHogaNWoU+RqW9rOJ1DH8k+TgwYMa3/SlNWbMGPHee++Jbdu2ifPnz4vY2FgRExMjTp06JSZPniyFA20fCMpg4+XlJQCIjh07irCwMJGUlCRu3LghPv30U+lgpUaNGuLJkyda6yj44Z2XlyfS09PF8uXLpfVNT09Xe+hyXfQd/oUQYtu2bVIds2fPVpm2atUqadrixYvV5i0YeL29vUWFChXEwoULxZ07d0RCQoLYs2ePaNy4sVRm5cqVGtswYMAAAUCYmJiISZMmiYiICJGUlCQePHggNm/eLGrXri19acbGxqrNr6y/WrVqwtjYWEydOlX8888/Ijk5WVy8eFH06dNHKvPLL7+ozZ+XlycCAgKkMuPHjxeXLl0SSUlJIiIiQrz11lvSOioDUmHbomBAefr0qUhPT5cOjKZPn662TxU8ONRl+K9SpYoAILp37y7CwsJEYmKiuHPnjti3b5/Otn1RlKHS3t5eODg4iGrVqonNmzeLuLg4ER0dLVauXCkqVqwogPwDgKtXr6rMHxERIW3XnTt3FrkcS0tLkZKSUuz2PX36VFhYWGjdN1xdXQUAYWpqKgCIixcvqky/e/eu1L7nQ3FqaqoUXpydncWiRYvE1atXRXJysvjvv//Ejz/+KIXs9u3bawxzrVu3FrNnzxb79+8XV65cEYmJiSIyMlLs379f9OvXT1r23r171darJPtdwdfJ0dFRNGzYUGzbtk3ExsaKuLg4sXbtWilUenh4iOzsbLW2RkdHC2dnZ+k98ssvv4hbt26J5ORkcf36dTFnzhxhbm4ugPyD6ecVDP/u7u7C3d1drF69Wty7d0/Ex8eLvXv3Fvu1PXTokFRX586dxf79+8W9e/fEo0ePxL///iu2b98uRo8eLaZOnao2799//y0dSLq6uorFixeLGzduiOTkZBEZGSm2bdsmhg0bJsaOHas2r74/y4Qo/T7zfBvc3d2FkZGRmDx5srh48aJISkoSly5dEqdPn5bKFvY59O+//0oHUHZ2duLHH38UkZGRIiEhQezbt080a9ZMWtbChQvV5h86dKgAIIyNjcVnn30mLl68KBISEkRCQoK4cOGCWLp0qQgICBBnz57VuB5UcrIN/zdu3BCLFy8WgYGBon79+sLY2FgAEF9++eULW2Z8fLyYOnWqqFevnrC2thZWVlaiWrVqYuDAgQaxU69YsUJ6g27cuPGFL2/Pnj0CgKhQoYJIS0tTm64MNsoPdU1fQr/++qtUZsGCBVrr0NRzU/AL6EWviy7Dv6YDlecf2npOx44dK33IHjt2TAghxM2bN4W1tbUUHjUpGHgVCoUICQlRK5OWlibq1q0rgPye08zMTJXp27dvFwCEkZGR1i+jlJQUKURNnDhRbXrBXqD169erTc/NzZUOQlq0aKE2fevWrdL8M2fO1NiGgr15JQn/SkX1kCnpMvwDEAMGDNDYWy2EbrZ9UZShUhmkNAWeK1euSAG8W7duatOVv8j07dtX4zLy8vKkzoChQ4eWuI3K3s0BAwaoPH/t2jUBQDg6OkoHgN99951KmeDgYOnA5fmOhkmTJknrHRUVpXHZFy5ckALxn3/+WeK2f/LJJwKAeO211zROL+5+V/B1aty4sXj8+LFamYLvE037S+/evQUAUa9ePZGcnKxxOcrPRABq328FP3udnJzEvXv3Cm1zYT788EMpZD979qzY82VkZEgHMD4+PuLBgwdayz7/3WMIn2XFUdQ+U7ANS5cuLbSuwvYv5S/jZmZmGnvnnzx5Ipo3by4ACAsLC7Vfv5S//EyePLn4K0dlItvwr/ywfv7xosL/kSNHpN6U6tWri379+ok+ffoIX19fYWRkJJYsWfJCllsSX3/9tbQdCvYYvkjKnsD9+/erTSsYbJ7vJSxI+VN77dq1tdbxosO/EIWviy7Df3EemsK5EPkfwnXq1BEARNWqVUVcXJy0/VxcXERCQoLG+QoG3rfeektrO3fs2KH1AFL5WgwZMqTQdVWGLEdHR7Uwq6y7VatWWuf/7rvvpC+i57+0u3fvLgUFbUO0EhMThZmZWbkK/8bGxiImJkZrHbrY9kUpGCp//vlnreWUYc3IyEgtcC1evFgA+b3vmobHHD58uMh9vDBffvml9PoX9PPPPwsAok+fPtIvgj169FApo3y92rZtq/L848ePpYNnbb94KQUFBUnLKamrV68KIL+nWdNQmtKEf02fVULkB0/l99UXX3yhMu3OnTtSb3lhw4KEENKvbM+HuoKfvV9//XWhdRTl/ffflw5ESuKXX36R2nDgwIESzWsIn2XFUdQ+o2xDnTp1iqxL2/4VHx8vjIyMBKB9aJUQQpw6dUpa3vMH1ra2tgKA+Pbbb4u3YlRmsj3ht379+vjoo4+wYcMGXL9+HcOGDXthy7p27Rq6d++OnJwcbNu2Dbdv38aff/6Jbdu24fz584iJiUG3bt1e2PL16f79+/jss8/QunVrODk5wdTUVOVEtMTERADAzZs3tdZRq1Yt1K1bV+v0fv36AQBu3LiBhw8f6nYFCtDFuuibpaUlNm7cCHNzc9y7dw8NGjTA+fPnoVAosG7dOlSsWLHIOvr27at1WteuXaXLwoaHh0vPP3nyBCdOnACQf7Lm48ePtT7q1asHAEhOTsadO3e0LkebWrVqAQCePXumcsKdEEJqU48ePWBmZqZxfmdnZ7Rr105r/YaocePGcHNz0zhN19u+OArbR5Tv17y8PJw8eVJl2tChQ2FhYYHs7Gz89ttvavOuXr0aAODj41Oq10h5AnR8fDyuXbsmPR8SEgIA6NChAzp06AAAOHr0KHJzc9XKtG/fXqXOkydPSiciBgQEFLp9GzZsCAA4c+aMxvadPXsW48aNQ8OGDWFnZwdjY2Pp80X52uTk5OC///4r8bo/z9zcXG1dlIyMjFCjRg0AQFxcnMq0w4cPQwgBCwsLNG/evND1bdy4caHrCwDdu3cv03ool3H16lV8+umnSE5OLtZ8hw4dAgBUqVIFnTt3LvbyDOGzrCBd7DNlyR8nTpxAXl4eAODtt9/WWq5Fixbw9PQEkH9VwYKUr+G3336L3bt3q7zv6MWQ7aU+R48erfK3kdGLOw4aN24cMjMz8fvvv6NPnz5q011cXF7YskvC0dFR+n9KSkqZ6/v7778xdOhQPH78uMiyqampWqfVqVOn0HkLHhjcvXsXTk5OxW9kMelqXXRBlPGqQg0bNsS3336L999/Xzpg+eijj4r9BVjY62FiYoKaNWvi0qVLKlfruHPnDrKzswEAI0eOxMiRI4u1rMTERPj4+Kg9ry3oAoCVlZX0/ydPnkj/T01Nlfbr4uxTBw8eLFYbDUG1atW0TtP1ti+Kvb19oZ9pBd+vz1/RxcHBAX379sXvv/+ONWvWYPLkydK0tLQ0bNu2DcD/rnBTUs2bN4eVlRWePHmCkJAQ1K1bF0II6X4g7du3R40aNVClShXExMTg3LlzaN68Oe7cuYN79+5JZQq6ceOG9H9lYC6K8n1X0Keffor58+cX6/2ti8+YihUrFnozQOX7qOB7CPjf+j59+hR2dnbFWpam9VUqbN8tjqFDh+Knn37C+fPn8dVXX2HBggVo1qwZ2rZti3bt2qFDhw6wsLBQm08Zhhs1alSi5RnCZ5mSrvaZsrwGyqtMASi0kw4A6tWrh7t376q977/++msEBAQgISEBPXr0gJOTE1577TX4+/ujY8eOJX6NqGiy7fkvrZycHPz6668ICAiAo6MjzM3N4e3tjfHjx2u8HNjFixdx7NgxeHh4YODAgXpocfF5e3tL/y/4hVYaUVFRGDhwIB4/fgwvLy8sXrwYZ8+eRWxsLFJTU5Geno709HTpsnuFXQKvqJtaFZxenLvflpQu18VQNGvWTOXvkvzyVdzXo+BrUdqw8vTpU43PGxsbF2v+gl+KBQ/cSrJPlQcFQ8LzdL3ti1LW96uyY+aff/7B2bNnpef/+OMPZGZmwsjISOXSvSVhZmaGNm3aAACOHDkiLScpKQmVKlWSekqVAV/Z26/818LCQu0yn6XZvllZWSp/b9q0CV999RWEEGjbti02bNiAq1evIjExEWlpaUhPT8c///wjldfFZ0xp3kNA6da3sH2psH23OExNTREaGooZM2bAxcUFOTk5OHnyJBYsWIDu3bujcuXKmDFjhto2T0tLAwDY2NiUaHmG8FkG6HafKctrUPA9XNS2VE5//n3fqlUrnDp1Cm+++SZMTU3x8OFDbN++HVOmTEHjxo1Rv3597N69u9RtJHWy7fkvjfT0dPTq1QuhoaGoUKECmjRpgooVK+Kff/7B8uXLsWXLFhw8eBC+vr7SPPv37wcAtG3bFgqFAvv378fhw4eRmpoKd3d3dOvWDU2aNNHXKqlo2bIlTExMkJOTg7CwsDLVtXr1ajx9+hS2trY4deoUKleurLGc8gO4MEX1thecXtIP8uLQ5boYgrS0NAwePFjlucDAQJw6dUrrUJiCivt6FHwtCga+HTt2oGfPniVpsk4UbENJ9qkXpbg912UNei9725f1/RoQEIDq1avj33//xerVq9G0aVMAwJo1awAAr7/+utZr9RdH+/btcfDgQYSFhUEIoXE4T4cOHbB+/XocOXIEU6dOlcq0atUK5ubmKvUV3L5paWml+gz6+eefAQCtW7dGaGioxl+ilb3N+qZcX0dHxxc6zLIkbGxsMG/ePMydOxdXr17FyZMnERoait27dyM1NRXz58/HlStXsGPHDmke5X1pStphZAifZYDh7DMF9/fHjx+rvT8K0vTdoOTr64vt27cjIyMDEREROHnyJA4cOIBjx47h6tWr6NGjB/78809p2CCVDXv+S2DcuHEIDQ1Fjx498N9//yE0NBRbtmzBjRs38P333+Phw4cYMGCAyni1y5cvA8j/Kbxz587o0qULvv32W6xYsQKff/45mjZtiqFDh6r1SuhDhQoV8PrrrwPIv3HJv//+W+q6Ll68CCD/S1RbWL53716xAnNhN2cBoDJ2VzmmUJd0uS6GYMKECYiMjISZmRm++eYbKBQKXLhwAdOnTy/W/IW9Hjk5Obh9+zaA/JvCKHl5eUlfTroYr1wadnZ2sLe3B1CyfepFUQ5FKHgztedlZ2cjKSmpTMt52ds+JSVFbZx4QQW3bcF9REmhUGDUqFEA8nv7nz59iuvXr0s3LFJOKy1lyH/48CEuX76sMfwr/3/8+HE8e/ZM63h/QHXIRGm3r/Iz5u2339Y6BLVgL64+Kdf30aNHxR5f/7IoFArUr18f77zzDjZs2ICYmBhpqO3OnTtVblxWvXp1AMClS5dKtAxD+CwDDGefKfgevnr1aqFlr1y5ojbP86ytrdGhQwd8+umnCAsLw8WLF6WhvF988UWZ20v5GP6L6fr16/jjjz/g5uaG33//HZUqVVKZ/sEHH6Bbt264ffs29u7dKz2v7BlZuXIlTpw4gSVLliAmJgYJCQlYvXo1bG1tsWHDBrz//vsvdX20mTp1KoD8nxjHjx9f7PHlMTExKuFXeTBT2Ik7mk7o0+TmzZuFhjHlOODatWuXaLx/wfGuhbVTl+uib7/99hs2bNgAAJg3bx4++eQTaVz1999/L/1SVRjl9tZk79690thU5fAKID94t2jRAgCwcePGUre/LBQKhdSm3bt3a71zZlJSUpl++VLuV0WdtObq6goAuH37tnTC3PNCQkLK3DGgj21f2D6ydetWAPnnWWm7U25QUBBMTEyQkpKC7du3Syf6Ojs7o1evXmVqW9OmTaXe20OHDkmvtfJEXyA/nHh7e+PJkyf47bff8ODBAwCaw3+7du2k3s7Sbl9dfMYUd78rK2UHkRACmzdvfqHLKitra2uVTo2Cw1mV5zjFxMRIJ/8WhyF8lgGG873UunVraejSn3/+qbXcmTNnpPMD2rZtW+z6GzZsiAEDBgAo+3Bk+h+G/2Las2cPhBDo2rWr1p91lVeSUF4JAPjfOL3s7Gx8//33mDhxItzc3FCxYkWMGDECK1euBAD8+uuvJb6d+Yvw2muvYcyYMQDyvxiHDRtW5NjfXbt2wc/PT6UXSNk7FB4ervGn4StXruDrr78udrs++OADjR9yq1evxrlz5wCg2CdeKTk7O0v/V365a6LrddGX//77D++++y6A/C++KVOmAADmz58PX19fCCEQFBRU6Ml5QH54U54gWdDjx48xbdo0AICTkxN69+6tMl25vIiICMyfP7/QZQghXshVk5T7SFxcHObOnauxzIcffqj1wKA4lPtVYfsUAClAPHr0CDt37lSbnpGRgU8++aTU7SjoZW/7uXPnauz9v3r1KpYuXQoA6NKli3QA9DwXFxfpKjArVqzA+vXrAQBDhgwp1tC0wpiYmMDf3x8AsGTJEqSkpKBKlSpqJ+sqg75yP7GyskLz5s3V6rO1tcU777wDAPjhhx+kXwm0efr0qcpJksD/PmN27NihscMlODi4yIBa3P2urGrVqoUePXoAyD/htKje3rS0NMTGxr6w9hS1rxbsnS/YOTR48GDp6mYTJkxAfHy81jqeH3pnCJ9luthndKFixYrSAfmKFStUfl1Revr0qdTBaWFhoXKOWUZGhsbzJQtSvoYv4mIesvUSLytq0JTXcNZ2nf8JEyYU+xrro0ePluZT3mXP1NRU63V6lTcaWb169QtZt5LKzMwUXbt2ldbHw8NDzJ8/X5w5c0bExsaKhIQEcenSJfHTTz+J1q1ba7zmecFroTdp0kQcOHBAxMfHizt37ogffvhBODg4CBcXF+nmHoVdw7zgHX6PHj0qkpKSxM2bN8XMmTOlO/xWr1692Hf4VYqPj5du7vbOO++I+/fvi2fPnons7GyV10oX6/Kyb/L1/DWds7OzpZusODs7q11f/caNG8LKykoAmm++pOkOv4sWLRJRUVEiMTFR7N27V/j6+kpltF3vfMiQIVKZbt26ib///ltER0eLlJQUce/ePXHo0CHx+eefi1q1amm84Zhy3jVr1mjdVoVdhz8vL0/l/hHjx48Xly9fFg8fPhRnzpwRb7/9trSOKOV1/idOnChd2zskJEQ8fvxY2qcK3tk1Oztbuiurg4OD+O2330R8fLyIi4sT27dvFw0bNhROTk7S9dYLe49o2r+fV9ZtX5SCd461t7cXPj4+YsuWLSIuLk7cv39f/Prrr4Xe4fd5O3fuVPtsvXz5conbpck333yjUq+mG4b99ttvKmU6d+6stb7U1FTp/hkmJiZiwoQJ4ujRoyI+Pl4kJyeL27dvi+3bt4sJEyYIZ2dnteuZF7z2vvKmj8q7rE6ePFkYGxtLN9CDlnscFHe/Uy5L075dUGH71r1790TlypUFAGFtbS2mT58uIiIiRGJiokhKShLXr18XGzduFIGBgcLGxkZs2bJFZX5d3mOlXbt2ol69euLLL78UoaGhIiYmRrrT8A8//CDdWdnNzU3txoM7duyQ7llQpUoVsWTJEnHr1i3x6NEjcffuXfH333+LoKAgjXf41fdnmS72meK0Qam4d/h1cHAQS5Yskb4b9u/fL1q0aCEta9GiRSrzRkZGChMTE9GrVy+xevVqcfnyZZGYmChiY2NFeHi4yk0XP/zwwyLbScXD8P//igr/48aNE0D+HREDAwMLfRQMPh9//LEA8m/hrY3y1tfz5s3T+XqVVk5Ojvj000+FpaVlkQc7ZmZmYtKkSWofrIUdMDk4OIhjx44V6wZGgYGBYubMmVrrqlKlirh586bG9SgqHBV28yxdrsvLvsnX81/s06ZNk6bt3LlT4zIK3uH5hx9+UJlW8EsoJCREeHh4aF32lClTtK7Hs2fPpJBS1EPTjZDK+oUphBAJCQmifv36Wpc7dOjQQgNSUfVfu3ZNuovt84/n940jR45oLWtnZydCQ0OL/R4pSlm3fVEKbrNdu3ZpXS8zMzOxdevWIuvLyckRVapUkeZr2rRpidukzenTp1XapKnjJSYmRqXMV199VWidcXFxKgeWhT1+/PFHlXkzMjKk7wFNj3r16omIiAiV9+Dzirvf6SL8CyHErVu3pDsyF/X4+++/VebVdfgvavlOTk7ixIkTGuf/448/pI4PbQ9N20Dfn2W62GeK0walom4iFxYWJhwcHArdDtOmTVO72VlkZGSxtmGnTp003o2aSofh//8VFf7nzZsngMLvYKfJxo0bpS9ybZS9jM9/IRiC2NhYsWDBAtGpUyfh7u4uLC0thYWFhXB3dxddu3YVixYtErGxsVrnDw4OFi1bthTW1tbC0tJSVK9eXbz33nsiKipKCFG8u5cqP3j//vtv0blzZ+Hs7CzMzc1F9erVxccff6z19vKa6njes2fPxDfffCOaNm0qbGxspF4gTV9KZVkXfYb/w4cPF+sOjEL875cqc3NzcenSJen557+EEhMTxZQpU0SNGjWEhYWFcHBwEK+//rrYvXt3sdbn0qVL4t133xX169cXtra2wtjYWNjb2wtfX18xZswY8ddff2m8A29ZvzCVMjMzxbx580T9+vWFpaWlcHBwEG3atJHqLUv4F0KIc+fOibffflu4u7sLU1NTjSFM6eLFi6J///6iUqVKwszMTFStWlWMGTNGqltX4V+ptNu+KM9vs0uXLokhQ4aIKlWqCDMzM+Hq6iqGDh0qrl27Vuw6Cx70L1u2rMRt0iYnJ0e6q2hhr2PNmjWlMidPnixW3bt27RKDBg0SXl5ewtLSUpiamopKlSoJf39/MXXqVK0hNCMjQ8yaNUvUrl1bmJubCzs7O+Hr6yvmzZsnMjIyVEKStrsbF2e/01X4FyJ/O27YsEH06dNHuLu7C3Nzc2FmZibc3NxEhw4dxKxZs1Q+R5R0Gf6joqLEypUrxcCBA0WDBg2Es7OztE+3aNFCzJkzRyQlJRVax4MHD8T06dOFr6+vsLOzE+bm5sLT01MEBASIRYsWifv372udV5+fZWXdZ3QZ/oXIvzv6zJkzRePGjYWtra20HYcOHSpOnTqlcZ7c3FwRHh4u5syZIzp27Ch8fHyEtbW1MDMzE+7u7qJXr15i06ZNJb7jOBVOIUQZ7xj0iggKCsLatWvx5ZdfYubMmWrTL1y4AD8/P3h4eODWrVsabxqiSXp6OlxcXPDkyROcPn1a7frqt27dQp06daS7XbZs2VIn6/MqCAgIQFhYGAIDAxEcHKzv5shaaGioNAY6MjKy0Ks1EOnKN998g2nTpsHS0hKxsbHFvqkUERFpxxN+i8nX1xf9+vVDdHQ0+vbtq/Hk3IyMDGzYsEHlxCEbGxvp5KDx48ernIz18OFDjB49Gnl5eWjevDmDPxFRAcqD/n79+jH4ExHpiGxv8nX+/HlMmDBB+lt5Nvkvv/yCXbt2Sc9v375duiLFmjVrkJKSgr1796JWrVpo1KgRvL29IYRAVFQULl26hGfPnuH69esq14OfOXMmzp49i71796JOnTrSzbROnTqF5ORkeHp66vWSYUREhmbv3r3Spf3GjRun59YQEb06ZBv+09LSpJvGFHT//n3cv39f+rvgNbZtbGxw4MABbNq0CevXr8e5c+dw8eJF2NrawtXVFUOGDEGvXr3g4+OjUqeZmRl27dqFX375BcHBwThx4gRycnLg7e2NcePGYcqUKXB0dHxxK0tEVE7k5ubi3LlzmDhxIoD864gXvGcEERGVjWzDf0BAQLFvYFWQkZERBg0ahEGDBpV4vvHjx2P8+PElXiYRkRx4eXmpXAPf3NwcS5Ys0WOLiIhePRzzT0REBsXe3h4dO3ZEaGgo/Pz89N0cIqJXCq/2Q0REREQkE7Ia9pOXl4cHDx7AxsYGCoVC380hIiIiIiozIQTS09Ph5uYGI6PCB/bIKvw/ePAAHh4e+m4GEREREZHORUdHw93dvdAyBhv+o6Ki4O3tXayyYWFheO2114osZ2NjAyB/w9ja2papfUREREREhiAtLQ0eHh5S1i2MwYb/ChUqIDAwUOv0a9eu4cyZM7CxsUGTJk2KVadyqI+trS3DPxERERG9UoozrN1gw7+zs7N0d0dNunXrBgAYOHAgrK2tX1KriIiIiIjKr3J5qc+YmBjs378fADBq1Cg9t4aIiIiIqHwol+E/ODgYeXl5qFevHlq0aKHv5hARERERlQvlNvwD7PUnIiIiIioJgx3zr01YWBj+/fdfmJmZYdiwYYWWzcrKQlZWlvR3Wlrai24eEREREZHBKnc9/6tXrwYA9OrVC87OzoWWnT9/Puzs7KQHr/FPRERERHKmEEIIfTeiuNLS0uDq6oonT55gz5496Nq1a6HlNfX8e3h4IDU1lZf6JCIiIqJXQlpaGuzs7IqVccvVsJ+NGzfiyZMncHd3xxtvvFFkeXNzc5ibm7+ElhEREZEhyc7ORm5urr6bQVQiRkZGMDU1Ldb1+kurXIV/5ZCfoKAgGBmVuxFLRERE9IKlpaUhKSlJ5Zd/ovLE2NgYVlZWqFSpEszMzHRef7kJ/9euXUNERAQUCgVGjBih7+YQERGRgUlLS0NMTAwqVKgAZ2fnF96DSqRLQgjk5uYiMzMTqampiIqKgru7O6ysrHS6nHIT/letWgUAaN++PapVq6bn1hAREZGhSUpKQoUKFeDu7s7QT+VWhQoV4OjoiLt37yIpKQlVq1bVaf3lYuxMdnY21q9fD4DX9iciIiJ12dnZyMrKgp2dHYM/lXvGxsZwdHRERkYGcnJydFp3uQj/u3btQkJCAuzt7dG3b199N4eIiIgMjPLkXlNTUz23hEg3lBetkWX4V57oO3jwYFhYWOi5NURERGSo2OtPr4oXtS+XizH/O3fu1HcTiIiIiIjKvXLR809ERERERGXH8E9EREREJBPlYtgPERERkS54Tdut7yaUSNTX3V9Y3QcPHsTvv/+O8PBwxMXFISsrC46Ojqhfvz66deuGoUOHomLFilL5vLw8rFu3Dhs2bMClS5fw6NEj2NjYwNnZGbVr14a/vz/efvtteHl5FbsNXl5euHv3rtrz1tbW8PHxQbdu3fDRRx/ByclJF6tMYPgnIiIikpWkpCQMGjQIhw4dApAfwNu3bw9ra2vExcXhxIkTOHToED7//HMcOnQILVq0QEZGBnr27ImQkBAAgJ+fH1577TUYGxvjzp072LdvH3bu3AkrKytMnDixxG1q06YNqlevDiD/IOPBgwc4ceIEvv76a6xbtw7Hjh3Ty32egoODMWLECAQGBiI4OPilL/9FYPgnIiKSsTW3H+isrhE13HRWF70Yqamp8Pf3x82bN1G7dm2sWLECbdu2VSmTlZWFtWvXYtasWYiNjQUAzJ49GyEhIXBzc8PevXvRsGFDtXq3bt0KV1fXUrVr9OjRCAoKUnkuLi4O7dq1w61bt/DJJ5/gzz//LFXdpIrhn4iIiEgm3nvvPdy8eRNeXl4IDw+Ho6OjWhlzc3OMGTMGvXv3RkpKCgBg48aNAIBZs2apBX8AsLOzw8iRI3XaVhcXF3z88cd45513cPjwYZ3WLWc84ZeIiIhIBu7cuYPff/8dAPDdd99pDP4FVa5cGbVq1QIAxMfHAwAqVar0Yhv5HBcXFwCF3+jqzz//RJcuXVCxYkWYmZmhSpUqGDp0KK5du6ax/Llz5zBgwAC4u7vDzMwMtra2qFatGvr164e///5bKufl5YURI0YAANauXQuFQiE9AgICdLeSLxl7/omIiIhkYNeuXcjNzYW9vT169epVonmrVq2K//77D8uXL0fXrl2lu8++aKdPnwYA1KtXT21aTk4OhgwZgs2bN8Pc3BxNmjRBlSpVcOvWLWzYsAHbtm3Dtm3b0KVLF2mew4cPo2vXrsjOzkajRo3QqlUr5ObmIiYmBrt370Zubi569+4NAOjfvz9OnTqF8PBw+Pj4wN/fX6qndu3aL3jNXxyGfyIiIiIZOHv2LID8k3WNjY1LNO/EiRMxefJk7N+/H56enujVqxdatmwJX19fNGzYsMT1FSYvLw+xsbHYvn07FixYAGNjY8ycOVOt3KxZs7B582a0aNECf/zxB7y9vaVpf/75JwYOHIjBgwfjzp07sLe3BwDMmzcP2dnZWL9+PYYMGaJSX2pqKq5fvy79vXDhQgQHByM8PBz+/v6vzAm/HPZDREREJAOJiYkASjd054MPPsC8efNgbW2N+Ph4rFy5EqNGjYKfnx8cHBwQGBiImzdvlrptI0aMkIbUGBsbw93dHe+99x4aNmyIsLAw9OjRQ6V8cnIyvv/+e1hYWGDr1q0qwR/I77UfO3YsHj16hPXr10vPK4cvdevWTa0NdnZ2aNmyZanXobxg+CciIiKiIs2YMQP379+XLn/ZqFEjGBsbIz09HevWrYOvry/27NlTqrrbtGmDwMBA6dG9e3d4eHjgzJkzmDx5Mm7fvq1SPiQkBJmZmWjTpg2qVKmisU7luPwTJ05IzzVv3hwAMGTIEBw/frzQcwleVRz2Q0RERCQDyht2JSQklLoOe3t7KaADwKNHj7B9+3bMnDkTsbGxCAwMxN27d2FlZYUbN27g66+/VqvD398fo0ePVnlO06U+c3Jy8Pnnn2P+/Plo164dbt68CRsbGwD5Jy8D+WP4FQpFoW1W/uIBAPPnz8fly5exd+9e7N27F5aWlvDz80NAQACGDBmCOnXqlHiblDcM/0REREQy0KRJE/z22284f/48cnNzdTJO38HBASNHjoSvry/8/PyQlJSE8PBwdO7cGXFxcVi7dq3G+Z4P/5qYmJhg7ty5WLlyJWJjY7Fu3Tq8++67APLPCwCA6tWro02bNoXWU/DkXBcXF5w9exZhYWE4dOgQwsPDERERgfDwcHz11VeYP38+pk6dWtzVL5cY/omIiIhkoEePHvjwww+RkpKCHTt2oE+fPjqr29fXF87OzkhKSkJSUhKA/GE3Qogy1WtkZAQvLy8kJSWpnIzr4eEBAKhVq1aJT8RVXqpTOSzo6dOnCA4OxrvvvosZM2agf//+8PHxKVO7DRnH/BMRERHJgI+PDwYNGgQAmDJlCpKTkwstn5CQIJ3EW1SIT0lJQVpaGgDA3d1dB63Nl5eXh6ioKABAhQoVpOc7duwIMzMzhIaGlmkYEwBYWFhg3LhxaNiwIfLy8nD58mVpmpmZGYDC7zNQ3jD8ExEREcnEkiVLUL16dURGRsLf3x/Hjx9XK/Ps2TOsXr0avr6+Um978+bNsXTpUo0HDHFxcQgMDMSzZ8/g6emJVq1a6aStOTk5mDlzpvRLQsF7E1SuXBnvvfceMjIy0LNnT/zzzz9q82dlZWHHjh24ceOG9NzChQtx7949tbI3btyQTir29PSUnlceyGi7YVh5xGE/RERERDLh4OCA8PBwDBgwAKGhoWjbti28vb3RsGFDWFlZIT4+HqdPn8bjx49ha2sLNzc3AMDt27fx7rvv4v3330eDBg3g4+MDExMTxMTEICIiAtnZ2XB0dMTGjRthYlLyePnrr78iNDRU+vvhw4e4dOkSoqOjAQCffvopWrdurTLP119/jdjYWPz+++9o3LgxGjVqhGrVqsHExAT379/HxYsXkZGRgb1790rj/ufOnYuPP/4YtWvXRp06dWBpaYkHDx5IV/4ZPnw4/Pz8pGW0bNkSbm5uuHDhAvz8/NCgQQOYmpqiVq1a+Pjjj0u8noZAIco6GKscSUtLg52dHVJTU2Fra6vv5hAREendmtsPdFbXiBpuOqurpJ4+fYrIyEh4e3vDwsJCazmvabtfYqvKLurr7i+s7n379uGPP/7AiRMnEBcXh6ysLDg5OaFBgwbo3r07hg0bBkdHRwDAlStXcOjQIRw5cgS3b99GXFycdIBQu3ZtvPHGG5gwYQKcnZ1L1AYvLy/cvXtX7XkzMzO4urqiZcuWGDdunDQ+X5O9e/fi119/RUREBBISEmBtbQ1XV1c0atQIvXr1Qu/evWFlZQUA2LBhAw4fPowzZ87gwYMHyMjIgIuLC+rWrYsxY8agd+/ealcPunLlCj799FOcPHkSDx8+RF5eHtq1a6dysPIiFHefBkqWcRn+iYiIZExu4Z+ovHhR4Z9j/omIiIiIZILhn4iIiIhIJhj+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJhj+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJkz03QAiIiKil2XRgB76bkKJTNm064XVffDgQfz+++8IDw9HXFwcsrKy4OjoiPr166Nbt24YOnQoKlasKJXPy8vDunXrsGHDBly6dAmPHj2CjY0NnJ2dUbt2bfj7++Ptt9+Gl5dXkcs+fPgwOnXqBDs7Ozx8+BDGxsZqZebOnYvPPvsMAHDs2DH4+/urlTl79iyaNWsGMzMzpKSkwNLSsvQbRCbY809EREQkI0lJSejcuTNef/11BAcHIzs7G+3bt0e/fv1Qp04dnDhxAh9++CGqVauGiIgIAEBGRgY6deqEESNG4NChQ/Dw8EDv3r3RuXNn2NnZYd++fZg6dSp27SrewUrr1q1hZmaG1NRUXLhwQWOZkJAQ6f+hoaGFlmnRooXBBf+AgAAoFAqtbdcX9vwTERERyURqair8/f1x8+ZN1K5dGytWrEDbtm1VymRlZWHt2rWYNWsWYmNjAQCzZ89GSEgI3NzcsHfvXjRs2FCt3q1bt8LV1bVY7bC0tETLli1x9OhRhISEoGnTpirTnz17hpMnT6J+/fq4desWQkNDMXPmTLV6lMG6ffv2xd0EsseefyIiIiKZeO+993Dz5k14eXkhPDxcLfgDgLm5OcaMGYOLFy+iTp06AICNGzcCAGbNmqUW/AHAzs4OI0eORNeuXYvdFmVgL9jDrxQREYHMzEx06dIFzZo1w4kTJ/Ds2TOVMrm5uTh27JhKXVQ09vwTEVGJ6XLc9Isc00xE/3Pnzh38/vvvAIDvvvsOjo6OhZavXLkyKleuDACIj48HAFSqVEln7Wnfvj3mzJmD48ePIycnByYm/4ulyh79gIAAmJmZITw8HBERESoHK+fOnUN6ejosLCzQqlUrlbr379+PJUuW4PTp00hJSYGzszPatm2Ljz/+WO1XBuVywsLCEBISAmNjYyxYsACnTp3Cw4cPsXr1agQFBSEvLw+//vor1q5di6tXryIjIwMODg5wdXXFa6+9hilTpsDLywuhoaEqByPPH5isWbMGQUFBOtiCpcOefyIiIiIZ2LVrF3Jzc2Fvb49evXqVaN6qVasCAJYvX46srCydtKdly5awsLBAeno6zp07pzItNDQUxsbG8Pf3R7t27QCo/0Kg/LtVq1YwNzeXnv/ss8/QpUsX7NmzBzVr1kT//v1RuXJlbN68GS1btsTq1au1tmnLli0ICAjAnTt30KlTJ3Tu3Fmqe/To0Rg7dizOnz+PZs2a4a233oKfnx8yMzPx008/4eLFiwAAFxcXBAYGSgdOb7zxBgIDA6VH9erVy7bhyog9/0REREQycPbsWQCAn5+fxqvrFGbixImYPHky9u/fD09PT/Tq1QstW7aEr68vGjZsWOL6gPzhRa1bt8aRI0cQEhKCFi1aAPjfeP/GjRvDzs4OrVu3homJCUJDQ/H5559L82sa779v3z7MnTsXFhYW2LFjBzp37ixNW7VqFUaPHo1x48ahRYsWqFevnlqbli5dip9//hkTJkxQef7evXtYs2YN3N3dcebMGbi4uKhMv379OqytrQEAtWvXRnBwMAICAhAfH49p06YhICCgxNvnRWHPPxEREZEMJCYmAijd0J0PPvgA8+bNg7W1NeLj47Fy5UqMGjUKfn5+cHBwQGBgIG7evFniejWN+z916hQyMzOlwFyhQgU0adIEJ0+elH51yMnJwfHjx1XqAICFCxcCACZMmKAS/AFg1KhR6NGjB7Kzs/Hjjz9qbE+HDh3Ugj/wv2FPfn5+asEfAOrUqSP9OmLoGP6JiIiIqEgzZszA/fv3ERwcjBEjRqBRo0YwNjZGeno61q1bB19fX+zZs6dEdSqDe3h4OLKzswH8r0dfOdxH+f+nT5/i1KlTAPJ/xXj8+DGsrKzQvHlzAPkHBOHh4QCgdUz9qFGjAGg+yRgA+vfvr/H52rVrw8bGBnv27MG8efMQGRlZgrU0LAz/RERERDKgvGFXQkJCqeuwt7dHYGAgVq9ejYsXLyIxMRGrVq2Cq6srMjMzERgYiCdPngAAbty4gaCgILXHr7/+KtXXvHlzWFtbIyMjA2fOnAGQH/6NjIzw2muvSeWUBwLKAwPlv23atIGZmRkA4OHDh3j69CkAwNvbW2P7fXx8AAAxMTEap2u7QZmNjQ3WrFkDS0tLzJw5E9WqVYObmxv69u2LFStW4PHjx0VtOoPB8E9EREQkA02aNAEAnD9/Hrm5uTqp08HBASNHjsTu3bsB5N9ATNn7HhcXh7Vr16o9lMN1AMDU1BRt2rQBkN8bn5WVhVOnTknj/ZX8/f1hbGws9dgr/9X1JT4Lu1FYv379EB0djXXr1uGdd96Bg4MDtm/fjrFjx6J69er4559/dNqWF4Xhn4iIiEgGevToASMjI6SkpGDHjh06rdvX1xfOzs4A8g8AgPzLZwoh1B7BwcEq8xYc96+8vn/BIT8AYGtri8aNG+PUqVNIT0+XDjAKhn8nJyfpyjx37tzR2E7l81WqVCnVetrZ2WHYsGFYsWIFrl69inv37qF3796Ij4/HxIkTS1Xny8bwT0RERCQDPj4+GDRoEABgypQpSE5OLrR8QkKCdBKvEKLQsikpKUhLSwMAuLu7l6hdygB/4sQJHDhwAAA0Xh2nXbt2yMrKwuLFi5GRkYEKFSqoXLPfxMQE/v7+AKB2gKGkvMynrn4x8PDwwJw5cwBAutSnknI4Uk5Ojk6WpSsM/0REREQysWTJElSvXh2RkZHw9/dXGYKj9OzZM6xevRq+vr64fv06gPyx+UuXLtV4wBAXF4fAwEA8e/YMnp6eajfcKkqTJk1gY2ODzMxMLFu2TG28v5Ly14DvvvsOANC2bVuVG4MB+Qc1ALBs2TIcPnxYZVpwcDB27NgBU1NTTJo0qURtvHDhAjZt2oTMzEy1aTt37gQAeHp6qjyvPAi6evVqiZb1ohn8df6fPXuG5cuXY/Pmzbh27RqePHkCZ2dnNGjQAEFBQRgwYIC+m0hERERULjg4OCA8PBwDBgxAaGgo2rZtC29vbzRs2BBWVlaIj4/H6dOn8fjxY9ja2sLNzQ0AcPv2bbz77rt4//330aBBA/j4+MDExAQxMTGIiIhAdnY2HB0dsXHjRrVAXhQTExO0bdsWe/bsQXJyMho3bgx7e3u1cm3btoWRkZF0AKKp975r166YOXMm5s6di86dO6NNmzaoWrUqbty4gfPnz8PY2BjLly/XeI3/wty9excDBw6EpaUl/Pz84OHhgZycHPzzzz+4efMmzMzMsGDBApV5+vXrhzVr1uCTTz7BoUOHUKlSJSgUCowcORKtW7cu0fJ1yaDD//379/HGG2/g2rVrcHZ2Rps2bWBtbY3o6GgcPXoU1tbWDP9EREREJVCpUiWEhIRg3759+OOPP3DixAkcPnwYWVlZcHJyQqtWrdC9e3cMGzYMjo6OAIDjx4/j0KFDOHLkCG7fvo3Dhw9LBwjNmjXDG2+8gQkTJkjj/kuqffv20mVCtd0Qy8HBAQ0aNMClS5ekeTT58ssv0aZNGyxZsgQRERE4deoUnJ2d8dZbb+Gjjz6SLg1aEi1btsTXX3+No0eP4vr167hw4QJMTEzg7u6Od999F++99x5q1aqlMk/37t2xcuVKLFu2DEeOHJGuguTv76/X8K8QRQ3i0pPMzEz4+fnhxo0bmD17NmbMmAFTU1Np+pMnT3Dr1i00bty42HWmpaXBzs4OqampsLW1fQGtJiKSh0UDeuisrimbdumsLiq5Nbcf6KyuETXcdFZXST19+hSRkZHw9vaGhYWF3tpBpCsl2adLknENtud//vz5uHHjBsaMGYNZs2apTbeysipR8CciIiIikjuDPOE3Ozsby5YtAwB8/PHHem4NEREREdGrwSB7/s+fP4+kpCS4ublJN03Ytm0bHjx4AAcHB7Rt2xZdu3aFkZFBHrsQERERERkkgwz/ly9fBpB/iaRp06ZhwYIFKteX/eabb+Dr64u//voLVatW1VcziYiIiIjKFYPsOn/48CGA/GuqfvPNN5gwYQJu3ryJ1NRUHDx4EDVr1sSFCxfQvXt3ZGdna60nKysLaWlpKg8iIiIiIrkyyPCv7OXPzs7GoEGD8NNPP6FmzZqwtbVFp06dcPDgQVhYWODKlSvYuHGj1nrmz58POzs76eHh4fGyVoGIiIiIyOAYZPi3sbGR/j927Fi16VWrVkX37t0BAIcOHdJaz/Tp05Gamio9oqOjdd9YIiIiIqJywiDH/FerVk3j/zWViY2N1VqPubk5zM3Ndds4IiIiIqJyyiB7/v38/KBQKAAASUlJGsson69QocJLaxcRERERUXlmkOHfxcUF/v7+ADQP68nOzkZYWBgAlOoWzUREREREcmSQ4R+AdFff+fPn49SpU9LzOTk5mDJlCu7cuQMbGxuMGDFCX00kIiIiIipXDHLMPwB07NgRX375JT777DO0bdsWzZs3h4uLC86fP4+oqChYWlrijz/+QOXKlfXdVCIiIiKicsFge/4BYObMmdi/fz86d+6MGzduYOfOncjNzUVQUBDOnz8vXfGHiIiIiIiKZrA9/0qvv/46Xn/9dX03g4iIiIio3DP48E9ERESkK2tuP9B3E0pkRA03fTeBXjEGPeyHiIiIiF6MgwcPYsSIEahZsyZsbW1hbm4OV1dXdO7cGd9//z0SExNVyufl5SE4OBidO3dGpUqVYGpqCkdHR9SsWRO9evXCggULEBUVVaI2REVFQaFQSI/t27cXWr579+5S2U6dOpV0lQns+SciIiKSlaSkJAwaNEi6nLqXlxfat28Pa2trxMXF4cSJEzh06BA+//xzHDp0CC1atEBGRgZ69uyJkJAQAPn3ZHrttddgbGyMO3fuYN++fdi5cyesrKwwceLEUrdt9erV6NOnj8ZpMTEx2L9/f6nrpnwM/0REREQykZqaCn9/f9y8eRO1a9fGihUr0LZtW5UyWVlZWLt2LWbNmoXY2FgAwOzZsxESEgI3Nzfs3bsXDRs2VKt369atcHV1LVW7jI2N0aBBA+zbtw9xcXFwcXFRK7N27Vrk5uaiWbNmOHPmTKmWQxz2Q0RERCQb7733Hm7evAkvLy+Eh4erBX8AMDc3x5gxY3Dx4kXUqVMHALBx40YA+fdhej74A4CdnR1GjhyJrl27lrptI0eORE5ODtauXatx+po1a2BhYYHBgweXehnE8E9EREQkC3fu3MHvv/8OAPjuu+/g6OhYaPnKlSujVq1aAID4+HgAQKVKlV5Y+4YMGQJzc3OsWbNGbVpYWBj+/fdf9OnTB/b29oXW8+jRI8yaNQuNGzeGjY0NrKys0KBBA8ydOxdPnjxRK5+eno6VK1eib9++qFGjBqytrWFtbY0GDRrg008/RUpKisbleHl5QaFQICoqCiEhIXj99dfh4OAAS0tL+Pn5Yd26daXZDC8cwz8RERGRDOzatQu5ubmwt7dHr169SjRv1apVAQDLly9HVlbWi2geHB0d0bt3b9y8eRPh4eEq01atWgUg/9eBwly7dg2NGjXCF198gYSEBPj7+6NTp05ITEzEZ599hjZt2iA1NVVlnkuXLmHMmDE4fvw4XFxc0LNnT/j7+yM2NhZfffUVmjVrhocPH2pd5urVq9GxY0ckJyejS5cuaNy4MS5cuIDAwED88MMPpdsYLxDDPxEREZEMnD17FkD+ybrGxsYlmld5Eu/+/fvh6emJMWPGYPXq1bhw4QJyc3N11sZRo0YByA/USmlpadi6dSu8vLzQsWNHrfNmZmaiV69eiI6OxsyZMxEVFYW9e/dix44duHPnDgYNGoSLFy9i8uTJKvN5eXnh0KFDiIuLw7Fjx7Bx40bs378f9+7dw/Dhw/Hvv//i888/17rcr7/+Gjt27MDZs2fxxx9/4OTJk9KvF7Nnz0ZmZmZZNonOMfwTERERyYDy0p2lGbrzwQcfYN68ebC2tkZ8fDxWrlyJUaNGwc/PDw4ODggMDMTNmzfL3MZOnTqhatWq2Lx5MzIyMgAAf/zxB548eYKgoCAoFAqt865duxb//fcfevTogS+//BJmZmbSNCsrK6xYsQKVKlXCb7/9hkePHknT3N3d0bFjRxgZqcZiKysrLFu2DCYmJtiyZYvW5b733nvo0aOHynNBQUGoXbs2UlNTpYMuQ8HwT0RERERFmjFjBu7fv4/g4GCMGDECjRo1grGxMdLT07Fu3Tr4+vpiz549ZVqGkZERAgMD8fjxY2zevBlA/q8ARkZGCAoKKnTe3bt3AwAGDBigcXqFChXQtGlT5OTkaLxa0IkTJ/DNN9/g3XffxYgRIxAUFIQJEybAzMwMiYmJKgcMBfXs2VPj88qTpWNiYgpt98vGS30SERERyUDFihUBAAkJCaWuw97eHoGBgQgMDASQf3Lt9u3bMXPmTMTGxiIwMBB3796FlZUVbty4ga+//lqtDn9/f4wePVrrMkaMGIG5c+di9erVaN68OU6fPo1OnTrB09Oz0LbduXMHADBs2DAMGzas0LIFb2CWkJCAfv364fjx44XOk5aWBgcHB7XnledDPM/W1hYA8PTp00LrfdkY/omIiIhkoEmTJvjtt99w/vx55ObmlnjcvyYODg4YOXIkfH194efnh6SkJISHh6Nz586Ii4vTetnOwsK/t7c3AgICEBISgunTpwMo+kRfIP8OxADQpUsXVK5cudCyBQ8kRo8ejePHj6NVq1aYM2cOGjVqBAcHB5iamgIA3NzcEBsbCyGExrqeHy5k6Bj+iYiIiGSgR48e+PDDD5GSkoIdO3ZovZNuafj6+sLZ2RlJSUlISkoCAAQEBGgNzEUZOXIkQkJCsHPnTjg4OBSrrR4eHrhx4wZGjRqF/v37F2s5GRkZ2LNnD4yMjLBnzx61y4hmZGQgLi6uNKtgsMrXoQoRERERlYqPjw8GDRoEAJgyZQqSk5MLLZ+QkCCdxFtUiE9JSUFaWhqA/BNoy6pfv37w9PSEk5MTRowYAQsLiyLnUd5gTHmuQHGkpqYiNzcXtra2Gu8fsH79+lIfwBgqhn8iIiIimViyZAmqV6+OyMhI+Pv7axzn/uzZM6xevRq+vr64fv06AKB58+ZYunSpxgOGuLg4BAYG4tmzZ/D09ESrVq3K3E5LS0tERUUhKSkJixYtKtY8Y8aMgaenJ7Zs2YKpU6ciPT1dY1tXrlwp/V25cmU4ODggJSUFv/32m0rZU6dOScOOXiUc9kNEREQkEw4ODggPD8eAAQMQGhqKtm3bwtvbGw0bNoSVlRXi4+Nx+vRpPH78GLa2tnBzcwMA3L59G++++y7ef/99NGjQAD4+PjAxMUFMTAwiIiKQnZ0NR0dHbNy4ESYm+omX1tbW2L17N3r06IEFCxZgxYoVaNiwIdzd3fHkyRPcunUL169fR6VKlfDOO+8AAIyNjfH5559j8uTJGD58OH7++WdUq1YN9+7dw4kTJzB06FAcPXoUd+/e1cs6vQgM/0RERCQbI2q46bsJelepUiWEhIRg3759+OOPP3DixAkcPnwYWVlZcHJyQqtWrdC9e3cMGzYMjo6OAIDjx4/j0KFDOHLkCG7fvo3Dhw9LBwjNmjXDG2+8gQkTJsDZ2Vmv61avXj1cvnwZy5cvx/bt23H58mWcPHkSzs7OcHd3x0cffaR2/sAHH3wAb29vLFiwANeuXcPVq1dRu3Zt/Pzzzxg3bhy8vb31tDYvhkK8agOZCpGWlgY7OzukpqZKl18iIqKSWzSgR9GFimnKpl06q4tKbs3tBzqrS5/B+unTp4iMjIS3t3exxocTGbqS7NMlybgc809EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9ERESvDBldwZxecS9qX2b4JyIionLPyCg/0uTm5uq5JUS6odyXlfu2rjD8ExERUblnamoKY2NjZGZm6rspRDqRnp4OU1NTmJqa6rRehn8iIiIq9xQKBaysrJCamsrefyr3MjMzkZaWBhsbGygUCp3WbaLT2oiIiIj0pFKlSoiKisLdu3fh6OgIc3NznQcnohdFCIHc3Fykp6cjLS0N5ubmcHZ21vlyGP6JiIjolWBmZgZ3d3ckJSUhNjZW380hKhVTU1PY29vD2dkZxsbGOq+f4Z+IiIheGVZWVqhatSpycnKQk5Oj7+YQlYiRkRFMTU1f6C9WDP9ERET0yjExMYGJCWMO0fN4wi8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJhMGG/6CgICgUikIfT58+1XcziYiIiIjKDRN9N6Aobdq0QfXq1TVOMzY2fsmtISIiIiIqvww+/I8ePRpBQUH6bgYRERERUblnsMN+iIiIiIhItxj+iYiIiIhkwuCH/YSEhOCff/5Beno6nJyc0Lx5c3Tr1g3m5ub6bhoRERERUbli8OF/3bp1as+5urpi9erV6NKlix5aRERERERUPhnssJ9GjRrhxx9/xJUrV5CWlob4+HgcOHAArVu3RmxsLHr16oXQ0NBC68jKykJaWprKg4iIiIhIrgw2/E+ePBnvv/8+6tWrBxsbG1SqVAmdO3fG8ePH0bt3b2RnZ+ODDz4otI758+fDzs5Oenh4eLycxhMRERERGSCDDf/aKBQKzJkzBwBw6dIlREdHay07ffp0pKamSo/CyhIRERERveoMfsy/JnXq1JH+f//+fa09+ubm5jwxmIiIiIjo/5W7nn8AePjwofR/GxsbPbaEiIiIiKj8KJfhf+PGjQAAW1tb1KpVS8+tISIiIiIqHwwy/F+8eBE7duxATk6OyvN5eXlYtWoVZsyYAQB4//33YWpqqo8mEhERERGVOwY55j8qKgp9+vSBg4MD/Pz8ULlyZaSkpODKlSu4d+8eAGDQoEGYNWuWnltKRERERFR+GGT4b9SoET744AOcPXsWN27cQHh4OIQQqFy5Mvr3748RI0agW7du+m4mERGRXiwa0ENndTnOXaGzuojI8Blk+Pf29sb333+v72YQEREREb1SDHLMPxERERER6R7DPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJhIm+G0BERCQHXtN266yu93RWExHJDXv+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJhj+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJhj+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJhj+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJhj+iYiIiIhkguGfiIiIiEgmylX4/+STT6BQKKBQKDB37lx9N4eIiIiIqFwpN+H/xIkTWLRoERQKhb6bQkRERERULpWL8P/kyRMEBQXB1dUVvXv31ndziIiIiIjKpXIR/qdPn47bt29jxYoVsLOz03dziIiIiIjKJYMP/6GhoViyZAmGDx+Obt266bs5RERERETllkGH/8ePH2PkyJGoXLkyfvjhB303h4iIiIioXDPRdwMK89FHHyEyMhLbt2+Hg4NDiefPyspCVlaW9HdaWpoum0dEREREVK4YbM//gQMH8Msvv2DgwIF48803S1XH/PnzYWdnJz08PDx020giIiIionLEIMN/amoqRo0ahYoVK2LJkiWlrmf69OlITU2VHtHR0TpsJRERERFR+WKQw34++OAD3L9/H5s2bYKzs3Op6zE3N4e5ubkOW0ZEREREVH4ZZPjfvn07TExMsHTpUixdulRl2o0bNwAAq1atwqFDh+Di4oKNGzfqo5lEREREROWKQYZ/AMjJyUFYWJjW6VFRUYiKioKnp+dLbBURERERUfllkGP+U1JSIITQ+AgMDAQAfPnllxBCICoqSr+NJSIiIiIqJwwy/BMRERERke4x/BMRERERyQTDPxERERGRTBjsCb/aBAcHIzg4WN/NICIiIiIqd9jzT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTJi+i0vT0dISFheHp06do3rw5qlat+iIWQ0REREREJVCq8H/9+nWcPHkSfn5+aNy4scq0kJAQvPXWW3j06BEAwMjICFOnTsXcuXPL3FgiIiIiIiq9Ug37Wbx4Md555x2kp6erPJ+eno6BAwciOTkZDRs2RI8ePWBmZob58+fjzz//1EmDiYiIiIiodEoV/iMiIlClShW0bdtW5fkNGzYgMTER/fv3x/nz5/H333/j4MGDUCgU+OWXX3TSYCIiIiIiKp1Shf+YmBj4+vqqPb9//34oFArMmDEDCoUCANC6dWt07NgR58+fL1tLiYiIiIioTEo05v+LL74AADx8+BB3796V/lYKDw+HQqHAX3/9hR07dkjPp6enIzU1VaX8559/XpZ2ExERERFRCZUo/EdGRgIAhBDIyMiQ/gbyA35SUhI8PT1x9+5dlfmysrJU5lf+KkBERERERC9PicL/mjVrAAA7duyAra2t9DcAbNu2Ddu2bcPAgQMxf/58lfmmTZuGBw8eqJQnIiIiIqKXq1Rj/ps0aYKLFy9i5cqVAIBHjx5h3rx5UCgU6Nmzp1r5y5cvo0qVKmVrKRERERERlUmpwv+HH34IIQTGjRsHJycnuLq64sKFC/D390fr1q1VyqakpCA0NBTNmjXTSYOJiIiIiKh0ShX+u3TpguDgYFSuXBmPHj1CdnY2Xn/9dWzevFmt7I8//oinT5+iT58+ZW4sERERERGVXqnCPwAMHz4cDx48QGxsLFJSUrBv3z5UrlxZrdzYsWMRGRmJzp07l6mhRERERERUNiU64VcTTYG/IBcXl7IugoiIiIiIdKDUPf9ERERERFS+MPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREcmEwYb/DRs2YPjw4WjUqBEqVaoEU1NT2NnZoXnz5pg/fz4eP36s7yYSEREREZUrJvpugDbLli3DiRMnUKdOHfj5+cHR0RHx8fE4efIkzpw5g9WrVyMsLAxubm76bioRERERUblgsOF/0aJFqFGjBhwdHVWef/jwId58800cP34cU6ZMwR9//KGnFhIRERERlS8GO+ynRYsWasEfAJycnPDVV18BAA4cOPCym0VEREREVG4ZbPgvjIlJ/g8W5ubmem4JEREREVH5Ue7Cf3p6OmbPng0A6NWrl34bQ0RERERUjhjsmH+lAwcO4Pfff0deXp50wm96ejq6dOmCb775ptB5s7KykJWVJf2dlpb2optLRERERGSwDD78X7t2DWvXrlV5bvDgwfjuu+9gZ2dX6Lzz58/HnDlzXmTziIiIiIjKDYMf9vPBBx9ACIFnz57h33//xaJFi7B3717UrVsXR48eLXTe6dOnIzU1VXpER0e/pFYTERERERkegw//SqampvDx8cGHH36IvXv34tGjRxg6dCgyMzO1zmNubg5bW1uVBxERERGRXJWb8F9QixYtULduXURHR+Ps2bP6bg4RERERUblQLsM/AFhbWwMAEhIS9NwSIiIiIqLyoVyG/6SkJFy6dAkAULNmTT23hoiIiIiofDDI8H/t2jVs2LABT58+VZt269YtvPXWW8jKykLLli3RoEEDPbSQiIiIiKj8MchLfSYkJGDo0KEYO3YsfH194e7ujmfPnuHevXs4f/488vLyUKdOHWzatEnfTSUiIiIiKjcMMvzXq1cP8+bNw7Fjx3Djxg1cuHAB2dnZcHR0RMeOHdG3b1+MGDEC5ubm+m4qEREREVG5YZDhv2LFipgxY4a+m0FERERE9EoxyDH/RERERESkewz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMmGQ4T87OxuHDx/Gxx9/jGbNmsHe3h6mpqZwcXFBr169sHv3bn03kYiIiIio3DHRdwM0CQsLQ+fOnQEALi4u8Pf3h7W1Na5du4adO3di586dGDNmDJYvXw6FQqHn1hIRERERlQ8G2fNvZGSEfv364ejRo4iNjcWuXbuwadMm/PPPP9i4cSOMjY2xYsUK/Pbbb/puKhERERFRuWGQ4b9Dhw74888/0bZtW7VpAwYMQFBQEABg3bp1L7llRERERETll0GG/6L4+voCAKKjo/XcEiIiIiKi8qNchv/bt28DAFxdXfXcEiIiIiKi8sMgT/gtTFxcHIKDgwEA/fr1K7RsVlYWsrKypL/T0tJeZNOIiIiIiAxauer5z8nJwdChQ5GamooGDRpg7NixhZafP38+7OzspIeHh8dLaikRERERkeEpV+F/3LhxOHz4MJycnPDnn3/CzMys0PLTp09Hamqq9OA5AkREREQkZ+Vm2M+kSZOwatUqODg44ODBg6hZs2aR85ibm8Pc3PwltI6IiIiIyPCVi57/KVOmYPHixbC3t8eBAwekq/0QEREREVHxGXz4/+STT/Ddd9/Bzs4OBw4cQNOmTfXdJCIiIiKicsmgw/+0adPw7bffws7ODgcPHkSzZs303SQiIiIionLLYMP/zJkz8c0338De3p7Bn4iIiIhIBwzyhN8dO3Zg3rx5AIDq1avj559/1ljO2dkZCxcufJlNIyIiIiIqtwwy/CcnJ0v/P3v2LM6ePauxnKenJ8M/EREREVExGeSwn6CgIAghinxERUXpu6lEREREROWGQYZ/IiIiIiLSPYZ/IiIiIiKZMMgx/0RERVk0oIfO6pqyaZfO6iIiIjJk7PknIiIiIpIJhn8iIiIiIplg+CciIiIikgmGfyIiIiIimWD4JyIiIiKSCYZ/IiIiIiKZYPgnIiIiIpIJhn8iIiIiIplg+CciIiIikgmGfyIiIiIimWD4JyIiIiKSCYZ/IiIiIiKZYPgnIiIiIpIJhn8iIiIiIplg+CciIiIikgmGfyIiIiIimWD4JyIiIiKSCYZ/IiIiIiKZYPgnIiIiIpIJhn8iIiIiIplg+CciIiIikgmGfyIiIiIimWD4JyIiIiKSCYZ/IiIiIiKZYPgnIiIiIpIJE303gKi8WjSgh87qmrJpl87qIiIiItKGPf9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDLB8E9EREREJBMM/0REREREMsHwT0REREQkEwz/REREREQywfBPRERERCQTDP9ERERERDJhsOH/5s2bWLJkCYKCgtCgQQOYmJhAoVBg7ty5+m4aEREREVG5ZKLvBmizbNky/Pjjj/puBhERERHRK8Nge/7r16+Pjz76CBs2bMD169cxbNgwfTeJiIiIiKhcM9ie/9GjR6v8bWRksMcpRERERETlAhM1EREREZFMMPwTEREREcmEwQ770YWsrCxkZWVJf6elpemxNURERERE+vVK9/zPnz8fdnZ20sPDw0PfTSIiIiIi0ptXOvxPnz4dqamp0iM6OlrfTSIiIiIi0ptXetiPubk5zM3N9d0MIiIiIiKD8Er3/BMRERER0f8w/BMRERERyQTDPxERERGRTDD8ExERERHJhMGe8Hv+/HlMmDBB+vu///4DAPzyyy/YtWuX9Pz27dvh6ur60ttHRERERFTeGGz4T0tLQ0REhNrz9+/fx/3796W/C97Ei4iIiIiItDPY8B8QEAAhhL6bQURERET0yuCYfyIiIiIimWD4JyIiIiKSCYZ/IiIiIiKZYPgnIiIiIpIJhn8iIiIiIplg+CciIiIikgmGfyIiIiIimWD4JyIiIiKSCYZ/IiIiIiKZYPgnIiIiIpIJhn8iIiIiIplg+CciIiIikgkTfTeAiIiI6EXzmrZbZ3W9F7lMZ3U5zl2hs7pG1HDTWV306mLPPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTJjouwFERCRva24/0FldI2q46awuIqJXEXv+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJnipz5fIa9pundX1XuQyndUFAI5zV+isLl5qj4iIiMgwseefiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4iIiIhIJhj+iYiIiIhkgpf6JCIiIqJyY9GAHjqra8qmXTqrq7ww+J7/LVu2ICAgAA4ODrC2tkajRo2wYMECZGdn67tpRERERETlikGH/w8++ABvv/02wsPD0bx5c3Tp0gX37t3D1KlT0aFDB2RmZuq7iURERERE5YbBDvv566+/8OOPP6JChQoICwuDn58fACApKQkdOnTA8ePH8dlnn2HhwoV6bilR2a25/UBndfEOy0RERKSNwfb8f/XVVwCAadOmScEfAJydnbF06VIAwE8//YTU1FS9tI+IiIiIqLwxyPAfExODM2fOAAAGDx6sNt3f3x8eHh7IysrCnj17XnbziIiIiIjKJYMc9nPhwgUAgKOjI7y9vTWWadq0KaKjo3HhwgUMGjToZTaPyimvabt1Wt97Oq2NiIiI6MUzyJ7/yMhIAEDVqlW1lvHw8FApS0REREREhTPInv/09HQAgLW1tdYyFSpUAACkpaVpLZOVlYWsrCzpb+X5AYXN8yLlZT3RWV1PdXyp08zH6TqrS1/btyi63P6Abl8DOWx/XdPl9pfLNtMl7v8lZ6jfAdz+Jcftr1/8/FenXA8hRNGFhQGaN2+eACDatGmjtcyMGTMEAPH6669rLTNr1iwBgA8++OCDDz744IMPPl75R3R0dJE52yB7/m1sbAAAGRkZWss8fvwYAGBra6u1zPTp0/Hhhx9Kf+fl5SE5ORlOTk5QKBQ6aq3hSktLg4eHB6KjowvdTvRicPvrF7e/fnH76xe3v35x++uf3F4DIQTS09Ph5lb05b4NMvx7eXkBAKKjo7WWUU5TltXE3Nwc5ubmKs/Z29uXtXnljq2trSx2fEPF7a9f3P76xe2vX9z++sXtr39yeg3s7OyKVc4gT/j19fUFADx8+FDrCb1nz54FAJV7ABARERERkXYGGf7d3d3RrFkzAMDvv/+uNv348eOIjo6Gubk5unXr9rKbR0RERERULhlk+AeAGTNmAAC+/vprnD9/Xnr+4cOHmDBhAgBg4sSJxf6JQ47Mzc0xa9YstaFP9HJw++sXt79+cfvrF7e/fnH76x9fA+0UQhTnmkD6MWnSJCxevBimpqbo2LEjrK2tcfjwYaSkpKBNmzY4ePAgLC0t9d1MIiIiIqJywaDDPwBs3rwZP//8My5evIjs7Gz4+Phg6NChmDx5MszMzPTdPCIiIiKicsPgwz8REREREemGwY75JyIiIiIi3WL418DLywsKhQLBwcGFlgsICIBCocDs2bOl5xISErBu3ToMHjwYNWrUgIWFBaysrFC7dm28//77iIqK0mlbs7OzsWbNGrz55puoWrUqLC0tYWVlhWrVqqF///7YsGEDnj17ptNlUvH3EQCYPXu22n4CAKGhoVAoFLK44ZxyeykUCvz5559ay3Xq1KnQ7fro0SN8++236Ny5M9zc3GBubg5ra2t4eXmhV69eWLx4MeLi4gptS1nfM9evX8eHH34IX19fODk5wdTUFE5OTmjVqhWmT5+O69evF2ublEcFX0flw9zcHFWrVsWAAQNw7NgxAMCRI0egUChgaWmJlJSUIutNSEiAmZkZFAoFTp8+/YLXovz477//oFAoYGRkhMTERI1l1q9fL70W69ev11gmMTERRkZGUCgU+O+//wBofi2ff/zwww8vatUMTnH3bSXl53pRj4CAAK3zVaxYEdnZ2VrbFBsbCxMTkyJf3/KqUaNG0nZ++PDhC1uOEAKbNm1C37594eHhAQsLCzg4OKBx48b45JNPcO/evULnT0lJwbvvvgtPT0/pc6rg6xoTE4Nhw4bBzc1Ner2CgoJe2ProgkHe5Ks8+/DDD7FhwwYYGRmhfv366NWrFzIyMnDmzBksWbIEq1evxvbt29G5c+cyL+v8+fPo378/IiMjoVAo0KhRIzRv3hxGRkaIiorCX3/9ha1bt+LTTz/FtWvXYGVlpYM1JCqbTz/9FG+++SZMTEr28bNhwwaMHz8e6enpMDU1RZMmTeDv7w8AePDgAQ4cOICdO3fik08+wbp16/D222+r1VGW90xOTg4+/vhjLF68GHl5eXB0dESzZs3g5OSElJQUnDt3DqdOncKCBQvw448/YuLEiWXbUAasTZs2qF69OoD8L8azZ89i8+bN2LJlCxYuXIjJkyfD29sbkZGR+P3336UrtGnz22+/ITs7G/Xr10fz5s1fxiqUCz4+PtIdSsPCwtC/f3+1MiEhIdL/Q0NDMXToULUyoaGhEELAw8MDPj4+KtMKvpbPq1u3bhnXoPwpat/+8MMPVcpXrlwZXbp00Vpf7dq1tU5LSkrCjh070K9fP43T165di9zc3FKsheE7c+YMLl++DAB49uwZ1q9fj0mTJul8OQ8ePECfPn1w+vRpKBQKNGnSBG3atMGTJ09w8uRJfPvtt1i8eDEWLVqEd999V2MdY8aMwZYtW+Dl5YW+ffvCwsJCel2FEOjbty9Onz6NunXron379jA1NZW+mwyWIDWenp4CgFizZk2h5dq1aycAiFmzZknPvffee2LOnDni/v37KmXT09PFwIEDBQDh6OgokpOTy9TGc+fOCSsrKwFA9OjRQ9y5c0etTEJCgpg+fbowMzMTjx49KtPySFVx9xEhhEhMTBTXr18XiYmJKs+HhIQIAEIOb0Pl9lLus8uWLdNYrmPHjhq369KlSwUAoVAoxCeffKLx/fPkyROxatUqUb16dTF//ny16WV9zwwYMEAAELa2tmLNmjUiJydHZXpeXp7Yv3+/8PPzE5MmTSp8g5RT2vb7zMxMMXz4cAFAGBsbi5s3b4ovv/xSABBNmjQpst569eoJAOL7779/MQ0vx5TbdcKECRqnV6tWTVSsWFG4u7sLHx8fjWUmTJggAIjhw4dLz5XkM0wOSrJvCyHErFmzBADRrl27Ei1HOV/Tpk0FANGtWzetZWvWrCnMzc1Fw4YNBQDx22+/lXS1DNbYsWMFAFGlShUBQDRo0EDny0hOThbVqlUTAISvr6+4cuWKyvTs7GyxcOFCYWxsLACIH3/8Ua2OZ8+eCRMTE2FhYSFSU1PVpkdGRgoAomrVqiI7O1vn6/CivPqpoxTKEv4Lk5GRIWxsbMr8Jn727Jm0Q7/55psiNze30PKnT58WT548KfXySJ0uvjjlGP6nT58uAAhXV1eRkZGhVk5T+L927ZowNTUVAMTixYuLXNaTJ0/E5cuXVZ4r63tm1apVAoAwNTUVp06dKnTeZ8+eiRMnThTZzvKosP0+PT1dWFtbCwBi/vz5Ijo6WvpSff71KCgiIkIAEGZmZmoHyCTEmjVrBABRp04dtWn37t0TAET//v3FkCFDBABx7949tXJ16tRRe90Y/lWVZN8Wouzhf9SoUcLPz08YGxuLmJgYtXJHjx4VAMSAAQOkrPGqhP+MjAxha2srAIgjR46IChUqCADi9OnTOl3O4MGDBQDh7e1daAfoTz/9JH2+X7t2TWXa3bt3BQDh6empcd6wsLBS7Qf6xjH/L5GVlRVq1aoFAIiOji51Pb///jvu3LkDMzMzLFu2DEZGhb+MzZo1U7sfwpMnT/D111/Dz88PNjY2sLKyQr169TBz5kw8evRIrY6oqCgoFAp4eXkhLy8PixcvRsOGDWFlZQVXV1eMGzcOycnJAICsrCx8+eWXqF27NiwtLeHm5oZJkyYhIyNDrd6C4+Hv3r2L4cOHw9XVFRYWFqhZsyZmz56NzMzMUm8rQ6BtzL8cdevWDe3atUNsbCy+//77Ys3zzTffIDs7G35+fnjvvfeKLG9paYkGDRqoPFeW94wQAvPmzQMAjB8/Hi1atCh0XlNTU7Rq1arIdr5qKlSoIH2+RUVFwd3dHW+88QYAYPXq1VrnU07r1asXnJ2dX3xDy5n27dsDyD/XJD4+XmVaaGgogPzzz9q1a6fynFJ8fLx0HoqyLiqZ5/dtXRk5ciRyc3Oxdu1atWnK98XIkSN1tjxDsWXLFqSlpaF+/fpo3749BgwYAABYtWqV1nlOnjyJrl27wt7eHhUqVEDTpk2lbaTp3Lk7d+5g48aNAICFCxfC3t5ea90TJkxAo0aNkJ2djQULFkjPKxQKeHp6AgDu3r2rci5HcHAwFAqF9L4LCwtTma7r8zt1jeH/JcrOzpZ2CFdX11LX8/fffwMA3njjDbi4uJR4/uTkZLRp0wbTp0/Hf//9hw4dOqBbt25ISEjAvHnz0KRJk0J33KFDh2LatGmoUqUK3njjDeTl5eGXX35Bp06dkJGRgU6dOmHhwoWoVasWOnXqhCdPnmDx4sV46623tNYZGRmJJk2a4MCBA2jbti06d+6MBw8eYM6cOejcuTOePn1a4vUkw/TNN98AABYsWFDkSV5CCOzcuRMANI5lLq6yvGf++ecf3LlzBwAQGBhY6jbIQVpaGgBId9QcNWoUgPyTUjWd2JiZmSl9QSvLkipPT094e3sDUA/2yr/btWsnhZCC5wAULOPt7S0FGSq55/dtXRg8eDAsLCywZs0alefT09OxZcsWVK1aFZ06ddLZ8gyFMuQrD2yU/27cuFFjZ9+WLVvQtm1b7Nu3Dx4eHujVqxcsLS0xevRoTJkyReMydu7ciby8PNjb26NXr16FtkehUGDYsGHSfOL/r4AfGBgonY9hbW2NwMBA6VG9enUEBgZKHRyVK1dWmV6hQoWSbpaXiif8vkSrVq1CUlISLC0t0bVr11LXc/bsWQD5vZOlMWHCBFy8eBEtWrTA7t274eTkBAB4/Pgx3n77bezduxdDhgxBeHi42rx3796FiYkJrl+/Ln2RPHz4EK1atcKFCxfQqlUrWFpa4s6dO1K9ymC/d+9ehIeHo02bNmr1rlu3Dr1798Yff/wh9bjev38fHTt2RHh4OObMmYP58+eXan3JsLRo0QJ9+/bFtm3bMG/ePHz33Xday0ZGRkq/KJV2fwfK9p5RzmtmZoaGDRuWug2vusuXL0sHSY0bNwYA9OzZExUrVkRiYiJ27tyJvn37qsyzbds2pKamwsPDA6+//vrLbnK50b59e0RGRiIkJETqJQXyg33FihVRr149KBQKuLi4aD1AYK9/6Wnat3XBwcEBffr0wR9//IFjx46hbdu2AIBNmzYhIyMDU6ZMKfJXyvLm1q1bOHbsGExNTaUOndatW6N27dq4ceMG/vzzTymIA0BcXBxGjRqF3NxcfPfdd5g8ebI07fDhw+jRo4fG5Zw7dw4A4OvrW6yLSyi/Gx4+fIioqCh4e3sjODgYUVFR2Lp1K5ydndWuQufv74/Q0FDs378ftWvXLtbV/wzFq7VX6diIESMKvYRXWFhYsev6559/8PHHHwMAPvvsM1SuXLnU7VJe8q1SpUolnvfevXvYsmULFAoFVqxYIQV0IP+nzZUrV8LCwgInTpzAiRMnNNaxePFilR4kJycnjB8/HgBw5coVrFq1SqVeb29v6U1++PBhjXVaWlpi+fLlKsOT3N3dsWjRIgDA0qVL2fv/Cvnqq69gYmKCpUuX4u7du1rLJSUlSf+vWLGixjJz5sxBUFCQyuOjjz5SKVOW94xyXkdHxxJfoUgOUlNTsWfPHvTt2xd5eXlwc3OTrrRkamqK4cOHA9A89Ef5XGBg4CsXcnRJGdwL9urfu3cPd+7cwWuvvSYNeWjXrh0iIyNV3lPKebSFf23fc89folKOCtu3lZ4f7lHSy6Uqe70Lvj9WrVoFhUKBESNG6Hyd9K3gML+Cn+nK7fD80J9Vq1YhPT0dLVu2VAn+ANCxY0eMHTtW43KUn9vFzVoFy2m7rO6rhN9khSjsEmgAsG/fPrUxmJrcv38fPXv2xOPHj9GrVy9MmzZNl80skaNHjyIvLw9+fn4aezGVQ3n+/vtvhISEoHXr1irTTUxMNPbQ1ahRAwBQtWpV1K9fX+v0Bw8eaGzX66+/rnE4Ro8ePeDk5ISHDx/i/Pnzau2h8qlWrVoYOXIkVqxYgc8++wzr1q0rdV07d+6UenmUPD09sXDhwrI2k7QYMWKExmDi4+ODrVu3wtraWnpu9OjRWLRoEfbt24fY2FhpyGNUVBRCQkJe2ZCjS8rgfuvWLWkbFhzyo9SuXTts2rQJoaGhCAwMRFxcHG7evKlSx/O0fc8VdonKV1lJ9m2g6Et9FnW51I4dO8LT0xNbtmzBkiVLEB0djVOnTqFDhw7w8vIq1ToYqpycHOn8hufPZRg+fDhmzJiBo0eP4r///pMuSavcz4cMGaKxzsDAQPz4449lbptyqI9cMPwXYvTo0YXeqCEgIKDI8B8XF4eOHTvi7t27eOONN7B58+Yy39SpYsWKiI6ORkJCQonnjYmJAQBpDKkmyjedsmxBrq6uGns/lePbqlatqrFOGxsbANDae19Ye7y8vPDw4UPcv39faxkqf2bPno3169djw4YN+OijjzQejBY8ATQxMVE66a4g5bAcADh+/Lj003lBZXnPKHunkpOTkZubC2Nj4xLX8aopGBjNzMxQqVIltGzZEl26dFH7fKhduzZat26NEydOYO3atVLnx5o1ayCEQIcOHVCtWrWXvg7lSZUqVVCjRg3cvn0bISEhGDx4sMrJvkoFT/oNDAyUytSoUQNVqlTRWHdR33NyU5J9G0CZh3sobwg1Z84cbNq0CTdu3ADwap7ou3v3bsTFxUmdjAVVrlwZ3bp1w44dO7B69WrpIgvK731tGUHb88rvjuJ00AJQ+W7Q9ivzq4Th/wVKSEhAhw4dcOvWLXTq1Al//fWXTk4WatKkCaKjo3HmzBkdtLJkivpp/kX+dC+3I/NXnaurKyZNmoT58+dj+vTp2L17t1oZLy8vODo6Ijk5GWfPni31jVPK8p5p0qQJgPwb0Vy6dAl+fn6lasOrpKSBcdSoUThx4gSCg4Mxbdo0CCGkHkCe6Fs87du3Vwv/Tk5OKr+01q1bFxUrVpSG+hQ15IfU6eNgaMSIEfjiiy+wYsUK3L17F3Z2dmrnx7wKlEN6nj59qvKLlZKywzE4OBhffPFFmTpamjRpgvXr1+P8+fPIyckpcsim8s7iTk5Or9wvLppwkOULkpiYiA4dOuD69evo2LEjduzYAQsLC53U3bt3bwDA/v37i31Uq6Ts/VGevKSJcpq2nqIXITIyUus05ZWH3N3dX1Jr6GWZOnUqnJycsGfPHhw9elRtupGREbp37w4AZbq1fVneMw0bNpR6lzRdko+K9vbbb6NChQq4efMmwsPDcfjwYdy9exf29vavZMh5EQqO+7937x4iIyNVxvsrvfbaa7h79y6ioqJ4sm854enpiQ4dOuD06dOIj4/HoEGD1C7PXd7FxsZiz549APJPqg0PD1d7KL/rHzx4gH379gH4Xw7RdgVCbc/37NkTRkZGSE1Nla72po0QAr/99huA/KHGZR2dUR4w/L8ASUlJ6NChA65evYqOHTti586dOn0jDxkyBF5eXnj27BnGjx+PvLy8QsufO3dOunzWa6+9BiMjI1y8eBGXLl1SKxsbGyu96V7mF8aBAwc0DsnYs2cPHj58CBsbG6kHll4ddnZ2mDFjBgDgk08+0Vhm2rRpMDExwblz57B06dJSLacs7xmFQiG1cdmyZVIPkTY5OTk4depUqdr5qqpQoQIGDhwIIP+EP+VJf8pLHVLRlMN7/vvvP+lAWNNJucoe1Q0bNuDWrVtay5FhGTNmDJycnODk5PRK/hoWHByM3NxctGjRAiL/BrMaH8rvAeWvBAX3Z020nS/m4+MjnZz98ccfIyUlRWvbli5disuXL8PExES6MMurjuFfx5KTk9GxY0dcuXIFnTp10nnwB/KvoLF582ZYWFhg+/btePPNNzX2nCcnJ+Ozzz5DmzZtkJWVBSB/TP5bb70FIQTGjh2rcp31jIwMjBkzBk+fPkXr1q1f6sm1mZmZGD9+vMo1fh88eCBdw3fcuHEMCa+od999F1WrVkVERAROnjypNr1u3brSDcEmTpyIGTNmaPwgz83N1Rq6y/KeAfKHAvTv3x/Z2dno3Lkz1q5di9zcXJV5hRA4cuQIWrduLV27nv5HGWg2b96M7du3qzxHRXNxcUGdOnUAQLoKWmHhX3kJ3Tp16pTqfjD0cr399ttISkpCUlISmjZtqu/m6FzBK3sVRnl1sF27diExMRGjRo1ChQoVcPLkSSxevFilbGhoKJYvX661rp9//hleXl6IjIyUOmQLysnJwXfffYdJkyYByL8HTb169Uq8buURx/zr2OjRo3H58mUoFAo4OjpKl8B83ptvvok333yz1Mtp1qwZjh49irfeegs7d+7Erl274Ovri2rVqsHIyAh3797F2bNnkZubi2rVqqmca/Dzzz/jxo0biIiIgI+PD9q3bw8TExOEhYUhMTER3t7eWo+yX5Thw4dj165dqFatGtq2bYunT5/iyJEjyMjIQKtWrTBnzpyX2p7i+vLLLwv98CltT7WcmJub44svvkBQUBCePHmisczEiRNhY2ODiRMnYv78+Vi0aBGaNGkCd3d3mJqaIjExEefOnUNycjLMzMw0XhmiLO8ZIP8uwS4uLvj5558RFBSEKVOmoFmzZnB0dERqairOnz+P2NhYGBsb8wRKDVq2bIm6devi2rVrAPKvl87zJ0qmffv2uH79OpKTk+Ho6Kh2J2sAaNCggXSejHIeenFu3LhR6PvdyspK9t8DYWFh+Pfff2Fubi79AqhNvXr14Ofnh/Pnz2PdunWYMmUKVq5ciaFDh2LSpEn49ddfUb9+fcTExODYsWP44IMPtN4t3tHREcePH8ebb76Js2fPokGDBmjatCl8fHzw5MkTnDx5EomJiTAzM8OiRYukgwA5YPjXMeUHrhACmzdv1lrOy8urTOEfyA8zt27dwm+//Ya///4b58+fx9WrV6FQKODq6oo+ffqgX79+6NevH0xNTaX5nJyccOLECSxevBibNm3CgQMHkJeXB29vb7zzzjv46KOP4ODgUKa2lZS3tzfOnj2LTz/9FEeOHMGjR49QtWpVDB48GFOnTjXY8Y937twp9PwJ5V0hqXDDhg3DokWL8M8//2gtExgYiJ49e+LXX3/F/v37ce3aNZw7dw7GxsZwdnZGy5Yt0alTJwwcOFDrHbRL+54B8n89WLJkCcaPH48VK1YgNDQUp06dwuPHj2FjY4OaNWtixIgRCAoKki5tS6pGjRol/Zr3Kl7N5EVr3769FCQ1jfcH8oeptW3bVhrnzPD/YsXHxxd6LpCdnZ3sw79yCE/Pnj2LlS2GDx+O8+fPY9WqVZgyZQoGDhwId3d3zJ07FydPnsR///2HWrVqYfny5RgzZozW8A/knzMQERGBzZs3Y+PGjThz5gwuXboECwsLeHp6Yvjw4Zg4caIsTvItSCF4CRXSo9mzZ2POnDmYNWsWZs+ere/mEBERUTmiPAhmnC0+jvknIiIiIpIJhn8iIiIiIpngmH89++uvv/DXX38Vu3xZ7iRIRERERPLGMf96phzzXlx8uYiIiIiotBj+iYiIiIhkgmP+iYiIiIhkguGfiIiIiEgmGP6JiIiIiGSC4Z+IiIiISCYY/omIiIiIZILhn4jIQHh5eUGhUKg8zM3NUbVqVQwYMADHjh3TdxOJiKic46U+iYgMhJeXF+7evYs2bdqgevXqAICUlBScPXsWMTExUCgUWLhwIT788EM9t5SIiMorhn8iIgOhDP9r1qxBUFCQ9PzTp08xduxYrFu3DsbGxrh27Rpq1qypv4YSEVG5xWE/REQGzsLCAj///DOsra2Rm5uLbdu26btJRERUTjH8ExGVAxUqVECtWrUAAFFRUQAgnRcAAGvWrEGrVq1gZ2cHhUIhlQGA06dP4+2334abmxvMzMxQqVIl9OzZEwcPHix0mUeOHMFbb70Fd3d3mJubo2LFimjWrBlmzZqFhw8fqpW/desWxo4dCx8fH1hYWMDOzg6vvfYa1q9fr7H+1NRUzJw5Ew0aNIC1tTXMzc3h5uaGNm3a4PPPP0d2drZK+XPnzmHAgAFwd3eHmZkZbG1tUa1aNfTr1w9///23xmWcO3cOQ4YMQdWqVWFubg5HR0e88cYb2LNnj8bysbGxmDRpEmrWrAkLCwtYWVnBw8MDHTt2xMKFCwvdXkRE5YIgIiKD4OnpKQCINWvWaJxevXp1AUC8//77QgghAAgAYuLEicLIyEj4+/uLQYMGiRYtWoioqCghhBArVqwQRkZGAoDw9fUVgwYNEq1bt5bmnT17tsZlvffee1KZxo0bi4EDB4quXbuKatWqCQAiJCREpfzmzZuFhYWFACBq164t+vTpIzp06CCsra0FADFixAiV8hkZGaJ+/foCgKhYsaLo2bOnGDhwoAgICBAuLi4CgHj06JFU/tChQ8LU1FQAEI0aNRL9+/cXffr0Ec2bNxfm5uaid+/eauvwww8/SOveuHFj0b9/f+Hv7y/MzMwEADFnzhyV8rGxscLNzU0AEFWrVhW9e/cWAwYMEG3bthWOjo7Czs5O+4tHRFROMPwTERmIwsL/pUuXpCC7evVqIcT/wr+tra04efKk2jyXL18WJiYmQqFQiHXr1qlM27NnjxSCDxw4oDJt8eLFAoBwcnISR44cUas3IiJC3Lt3T2U55ubmwsLCQmzdulWlbFRUlGjQoIEAINauXSs9v3btWgFAdO3aVTx79kxlntzcXBEaGiqysrKk59q3by8AiPXr16u1JyUlRW399+3bJxQKhXB2dhZhYWFq28Xd3V0AEKGhodLzc+bMEQDEmDFjRF5enso8z549E4cOHVJbNhFRecPwT0RkIDSF/5SUFLF7927h4+MjAAg3Nzfx+PFjIcT/wv8XX3yhsb5Ro0YJAKJv374ap0+cOFEAEJ07d5aey87OFhUrVhQA1IK8NgMGDBAAxMKFCzVOP336tAAgmjRpIj23YMECAUB89913xVpG3bp1BQCRnJxcrPItWrQQAMSff/6pcfrmzZsFANGvXz/puQkTJggAYtu2bcVaBhFRecTwT0RkIJThX9vDx8dHXLx4USqvfP7atWsa61MeMOzYsUPj9AsXLggAwsLCQuTk5AghhDh16pQAIJydndV6vzXJzc0Vtra2AoCIjo7WWCYvL09UqFBBGBkZiczMTCGEECEhIQKAcHFxEWvXrhUPHz4sdDlBQUHSLwXHjh0T2dnZWssmJiYKhUIhLC0tVX49KCghIUEAEK6urtJzwcHBAoCoWbOm2Lp1q0hPTy9q9YmIyh1e6pOIyEBous6/8gTdli1bokuXLjAxMZHKK0/2ffLkCSwtLdXqs7S0xNOnT/HPP/+gfv36atPT09Nha2sLAIiPj0elSpWwefNmDBgwAG3atMHx48eLbHNiYiIqVapU7HW8f/8+qlSpAgCYNm0avv32W+Tl5UGhUKBGjRpo06YNevfujZ49e8LI6H/XpIiLi0P37t1x/vx5ad38/PwQEBCAIUOGoE6dOlLZM2fOoHnz5sVqj4mJiXRicV5eHoYPH44NGzYAAIyNjVG3bl34+/ujf//+6NChQ7HXk4jIUDH8ExEZCG3X+ddGGf61fYy/jPAfHx8PFxcXAEBgYGCR5RcuXAhnZ2fp76ioKOzcuRPHjx9HeHg4YmJiAADNmjVDSEgIrK2tpbJCCISFheHQoUMIDw9HREQEMjMzoVAoMH/+fEydOhUAEBERgZYtW6JChQro169fkW0KDg5W+fvatWvYvXs3wsPDER4ejqSkJABAz549sX37dhgbGxdZJxGRwdLnzw5ERPQ/RV3t53n4/2E/2iiH/fz9998ap1+8eFEa9qMcRnPy5EnpCjzFGfaTk5MjLC0tBQCRmJhYrHYX5vTp06JmzZoCgPj8888LLZuZmSmWLVsmjIyMhJGRkfj333+FEELExMQIAMLGxkbk5uaWqT15eXni0KFDolKlSionWxMRlVe8zj8R0SsqICAAgHrPttLq1asBAG3btpWGEzVt2hTOzs5ITEzEX3/9VeQyjI2N0blzZwDA5s2by9zmZs2aYcKECQCAixcvFlrWwsIC48aNQ8OGDZGXl4fLly8DANzc3NCwYUOkp6dj3759ZWqPQqFAx44dMXjw4GK1iYjI0DH8ExG9oiZNmgQTExP89ddfajfaOnDgAH755RcAwEcffSQ9b2Jigk8//RQAMGbMGBw9elSt3jNnzuD+/fvS37NmzYKZmRk+/vhjrF27Fnl5eWrzXLlyReXOxNu3b8fRo0fVymZnZ0uB3dPTU3p+4cKFuHfvnlq9N27cwO3bt9XKz507FwAwYsQI7Ny5U20+IQQiIiJw4MAB6bl169bh3LlzamXT09MRGhqqtgwiovKIY/6JiAyErsf8A8CKFSswfvx45OXlwc/PD7Vr18bdu3dx4sQJCCEwe/ZszJo1S2UeIQQmTJiA5cuXAwB8fX1Rq1YtpKWl4caNG7hz5w5CQkKkXxYAYMuWLQgKCsKTJ0/g7u6OunXromLFikhOTsY///yD+/fvY8CAAdi4cSMA4IMPPsCPP/4IZ2dn+Pr6olKlSkhPT8epU6eQkJCAKlWq4NSpU3B3dwcA2NvbIzU1FbVr10adOnVgaWmJBw8e4Pjx48jJycHw4cOxdu1alfVYvHgxpkyZgpycHFSvXh21atWCnZ0dEhMTcenSJSQkJGDq1Kn4+uuvAQBvvvkm/v77b7i5uaFx48ZwcHDAo0ePEB4ejtTUVNSvXx8nTpyAjY1Nka8NEZGhYvgnIjIQLyL8A/knwC5cuBDHjx9HUlIS7Ozs0LJlS0yaNEkasqPJvn37sHz5cpw6dQrJycmwt7eHt7c3unfvjokTJ8LR0VGlfFRUFBYvXoyDBw8iMjISubm5qFy5Mry9vdGlSxf0798fPj4+APKHz2zatAnHjx9HZGQkEhMTYWdnh6pVq6Jfv34YM2YMnJycpLo3bNiAw4cP48yZM3jw4AEyMjLg4uKCunXrYsyYMejdu7e0PQq6cuUKlixZgpCQEERHR8PIyAguLi6oUaMGunfvjn79+sHNzQ0AcOzYMWzbtg0nTpzAvXv3kJycDEdHR3h7e2Pw4MEYMWKEygnIRETlEcM/EREREZFMcMw/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJBMM/EREREZFMMPwTEREREckEwz8RERERkUww/BMRERERyQTDPxERERGRTDD8ExERERHJxP8BY3W6+JwZUNEAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "\n", - "\n", - "def plot_grouped_bar(data_dict, category_names):\n", - "\n", - " # Extract categories and values from the data dictionary\n", - " categories = list(data_dict['CS-Best'].keys())\n", - "\n", - " # Create an array of indices for the x-axis ticks\n", - " x = np.arange(len(categories))\n", - "\n", - " # Calculate the number of categories\n", - " num_categories = len(category_names)\n", - "\n", - " # Set the width of the bars\n", - " bar_width = 0.2\n", - "\n", - " # Create subplots\n", - " rc('font', **{'family': 'serif',\n", - " 'serif': ['Computer Modern'], 'size': 16})\n", - " fig, ax = plt.subplots(figsize=(9,6))\n", - "\n", - " # Create a color map for bars\n", - " color_map = plt.cm.get_cmap('tab20', num_categories)\n", - "\n", - " # Plot bars for each category\n", - " for i, category_name in enumerate(category_names):\n", - " data = [data_dict[category_name][category] for category in categories]\n", - " ax.bar(x + (i - (num_categories - 1) / 2) * bar_width, data, bar_width, label=category_name, color=color_map(i))\n", - "\n", - " # Set the x-axis labels\n", - " ax.set_xticks(x)\n", - " ax.set_xticklabels(categories)\n", - "\n", - " # Set labels and title\n", - " ax.set_xlabel('Processes')\n", - " ax.set_ylabel('$')\n", - " ax.set_title('Capital Expenditure by weather scenarios')\n", - " ax.legend()\n", - "\n", - " # Display the plot\n", - " plt.show()\n", - " plt.rcdefaults()\n", - "\n", - "# Provided data dictionary\n", - "values = {\n", - " 'CS-Best': {'H2_Comp': 240000.0, 'LiI': 47112.824015143975, 'NGCC': 0, 'PV': 0, 'WF': 4525372.666806952, 'PEM': 657336.7260390162, 'AqOff': 0},\n", - " 'CS-Worst': {'H2_Comp': 240000.0, 'LiI': 1412445.763171612, 'NGCC': 1821536.7486275448, 'PV': 6274036.502104842, 'WF': 4878115.151327851, 'PEM': 657336.7260390162, 'AqOff': 131407.12412880117},\n", - " 'CS-Mean': {'H2_Comp': 240000.0, 'LiI': 94709.7134382275, 'NGCC': 0, 'PV': 354614.5238533652, 'WF': 6787282.050700706, 'PEM': 657336.7260390162, 'AqOff': 0}\n", - "}\n", - "\n", - "# Specify the order in which categories should appear\n", - "category_order = ['CS-Best', 'CS-Worst', 'CS-Mean']\n", - "\n", - "# Call the function to create the grouped bar plot\n", - "plot_grouped_bar(values, category_order)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "170549157.38070685" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_full'].output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "19469.081892774753" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_full'].divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_full'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='generation', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_full'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='sequestration', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_full'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='production', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'results_cost' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[39], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m plot_results\u001b[39m.\u001b[39mschedule(results\u001b[39m=\u001b[39mresults_cost, y_axis\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mP\u001b[39m\u001b[39m'\u001b[39m, component\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mPEM\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[0;32m 2\u001b[0m location\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mproduction\u001b[39m\u001b[39m'\u001b[39m, fig_size\u001b[39m=\u001b[39m(\u001b[39m9\u001b[39m, \u001b[39m5\u001b[39m), color\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39msteelblue\u001b[39m\u001b[39m'\u001b[39m)\n", - "\u001b[1;31mNameError\u001b[0m: name 'results_cost' is not defined" - ] - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='P', component='PEM',\n", - " location='production', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='S', component='H2(C)',\n", - " location='consumption', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Results(name='casestudy_results', results={'scenario_full': scenario_full, 'scenario_max': scenario_max, 'scenario_min': scenario_min, 'scenario_mean': scenario_mean})" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='Inv', component='LiI_Power',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x = results_dict.results['scenario_max'].output['Inv'].values()\n", - "x2 = results_dict.results['scenario_mean'].output['Inv'].values()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='Inv', component='LiI_Power_stored',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='PV',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='WF',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABCEAAAJdCAYAAAAMQm1+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAACnUUlEQVR4nOzdd3gUVfv/8c8mpFESSgg1dARBVECaqEgv6qOIKDZQ/NkQLCAgqBQVEUR5pFhABIwNRQQsIE1EAZEuCggioZcAIQktQPb8/uC7+yRkN9lstmSz79d1cV1k58zMPTtzptx75hyLMcYIAAAAAADAy0L8HQAAAAAAAAgOJCEAAAAAAIBPkIQAAAAAAAA+QRICAAAAAAD4BEkIAAAAAADgEyQhAAAAAACAT5CEAAAAAAAAPkESAgAAAAAA+ARJCAAAAAAA4BOFLglx7tw5ffjhh+rSpYsqVaqkyMhIRUZGqmLFirrxxhv11FNPaebMmdq3b59H1/vQQw/JYrFk+VfQLFmyJFuMM2bM8Ph6CuJ38dVXX6l169YqVaqUIiIiFB8fr06dOmnq1Kn+Ds2hatWqZfsOL/8XFhamihUr6o477tC3337r75ABOHDDDTdkqbfVqlXzd0g+t379er3wwgtq2rSpKlSooPDwcJUoUULVq1dX586dNWzYMC1fvlwXL1706HpfeukllShRQsOGDcvzvA888IDHr2Pr169X9+7d7d9BuXLl1Lx5cw0bNkynT5/O9/IBb3rooYcUHR1dYO+bgGBy/vx5dezYUWXKlNF3333n73DcYjHGGH8H4Sk7d+7Ubbfdpr///luVK1dWjx49VK1aNUVEROjAgQNatGiRVq1aZS+fkJCgBx54wCPrXr16tXbt2qVffvlFU6ZMkSQVtK/28OHDWrJkiSTpwQcflCRNnz5dDz30kEfXU9C+i9dee00vv/yySpQoob59+6pGjRratm2bJk+erPLlyysxMdFvsTkzd+5cnTp1Kst3OHToUF155ZWSLn2fR48e1bx58/TLL79Ikrp3765PPvlE4eHhfos70M2YMUOJiYm69tprdccdd/g7HOTT3LlztWnTJlWrVs3j5zlXLVq0SEePHtWcOXP0zTffqGrVqgXynOMNBw4cUL9+/fTNN98oJiZGt956q6699lqVKVNGp06d0pYtWzR37lwlJSVJkmJjY/X444/rtdde88j6ixcvrtOnT6t48eJKS0vL07yrVq3Sv//+67Hr2LJly9SpUydlZGSoV69eatasmY4fP65Jkybp0KFD2r17d1AmqOBfy5cv1/Lly1WyZEk9++yzTssdO3ZMZcuWlSRdddVV2rJli48i9LxNmzZp7ty5kqQRI0b4NRb4x3//+1+dPHlSN998s26++WZ/h5OFq/ct69atU5MmTSRJt956a2D+GGkKidOnT5tq1aoZSebRRx816enpDsvNnDnThISEGElm6tSpHo9j+vTpRpIp6F+tLcbp06d7bR0F4btISkoy4eHhRpKZN29elmkvvPCCqVq1qn8Cc1Hm7/Cnn35yWGbo0KH2Mn369PFtgIVMq1atjCTTq1cvf4cCD+jVq5eRZFq1auXvUMzw4cONpAJ/zvGUP/74w1SuXNlIMvfdd585ceKEw3JnzpwxTzzxhP0cVr9+fY/FMGTIEFOsWDHzwgsvuL0MT13HGjVqZCSZ5557LsvnCxcuNJLM7t2787V8wB15OS898MADpnjx4mby5MneD8yLCsK9KfyratWqRpIZPny4v0PJxtX7lvT0dNOuXTtTsmRJ88033/gkNk8rNK9jzJw5U4mJiYqOjtY777zj9Nfgnj172lsBoPD77bffdP78eUnKlu184YUXtHTpUj9E5VmvvPKKatWqJUn64IMPtGvXLj9HBCCYHT9+XF26dNH+/ft1991365NPPlGpUqUclo2KitJ7772nu+66y+NxvP766zp16pRGjx7t8WXnRVpamjZs2CAp+3WoTZs22rZtmypVquSHyADXJSQkKC0tTX369PF3KEDQCw8P1+LFi5WcnBywLXcLTRLi559/liTVq1dPUVFROZa97777fBESCoATJ07Y/x8dHZ1lWkxMjGrWrOnrkDwuNDRUt99+uyQpIyMjYN8NA1A49OnTR/v371eJEiU0ceJEl/pTGDNmjEJCCs0tSRbJycn2/19+HQoLC1PdunUVFhbm67AAAPCbQnPFP378uCTZ3y3NSbNmzfTmm2+qWbNm3g4Lfma1Wv0dgk9kTqbQEgKAv/z999/66quvJEn33HOP4uLiXJqvRo0aaty4sTdD85tguQ4BAOCqQpOEsDX1/Pfff/X777/nWDYmJkbPP/+8GjRo4LSMMUafffaZOnXqpHLlyiksLEylS5dWixYtNHjwYK1du9aluDZs2KA777xTcXFxioyMVP369TVu3DiXbkp++uknde/eXRUrVlR4eLhiY2PVqlUrTZw4Uenp6TnOe/ToUfXr10/VqlVTZGSkKlWqpHvvvVebN2/Ocb7mzZtn6Q388qajhw8f9vgIG6mpqXrllVfUsGFDRUdHq2jRoqpVq5YeeeSRXON1xjZCx8MPP2z/LLce6i9cuKDJkyerVatWio2NtY+icd9992nlypU5rufyHtS3bt2qnj17Kj4+XkWKFLFP81aHdKGhoVm243LfffedunbtqgoVKigiIkJxcXHq2LGjPv30U4edrTkbkWP58uVZyo0aNUoWi0WvvPKKS8u4nNVq1UcffaQ2bdrYv3PbiB/z5s1zuK2XjxxiO0Z/+OEHdezYUXFxcQoJCcnTSAS2ZdpaVM2cOTNb7LZ9d/nnto6DPv30U910000qU6aMw/qTlpamjz76SHfeeae9w9zixYurfv366t+/v/bv3+8wthkzZjjcD0ePHlXfvn1VpUoVRUREqEqVKurbt2+W1j+OfPnll+rYsaPKli1rP6/deOONGjFihLZu3ZqlrLPje+nSpfrPf/6j8uXLKyIiQlWrVlWfPn10+PDhXL/rlStX6r777lN8fLwiIiLs57V3333X4bG7fPlyh+ecc+fO6bXXXlODBg1UvHhx+7QRI0bo5ptvlsVi0cyZMyVdaimX27Es5f9cNHv2bN18882KiYlRiRIl1LBhQ7311lseH/Uhr/XZ08dQTj766CN7DP/5z3/yNO+3336rBQsWuBR7cnKyBg8erDp16igqKirLsZHXEZqWLVumLl26qEyZMipWrJjq1avnkRErbLFXr17d/lnr1q2znVdGjBjh8Hyzb98+9enTR9WrV1d4eLjTY9eT164NGzboP//5j8qUKaPSpUurTZs2+umnn+zznTt3Tq+++qpq166tyMhIVa9eXS+++KLOnTuXr+/Ktu7u3bvb75eqVq2qRx55RLt27XJ4Hvjvf/+bbRnp6en673//qxYtWqhUqVKKjIxUlSpVdO+992rFihUO1+vsnD5lyhQ1btxYxYsXV8mSJdWhQ4csnZs748kYvHVdse3/kSNHSpL27Nnj9N7Odj51dYSfPXv26JlnnlHdunVVrFgxRUdH65prrtGLL76oY8eO5Wn73d0HjtjqmbP7Qtv143LGGH3yySf2+4uIiAhVqFBBXbt21ffff+9WLJktXrxYd9xxh33UnJiYGDVr1kyDBg3K9Xlm48aN6tWrl6pWraqIiAiVKlVKzZo106hRo5SamprjvGlpaXrxxRdVp04dRUZGKjY2Vm3bttXs2bMlZb/Xsu33Hj165Ho8REZG5vq9emI7Tp48qZdfflnXXnutihcvrvDwcFWtWlXdunXTtGnTss1ri2fPnj2SpJEjRzo8DyYmJjo8NqxWqyZNmqQmTZooJiYm2/EqXerEdeLEibrllltUqVIlhYeHKzo6Wo0aNdKwYcPsP5pfLi/3Lc7ug535888/9f/+3/9TjRo1FBUVpVKlSqlp06Z64403HF7nnG3/xYsXNWbMGNWvX19RUVGKjY3VnXfeqb/++ivH9Tvl1x4pPOitt96ydzRTuXJls3DhQreXdfLkSdO6dWsjycTHx5thw4aZqVOnmmHDhpnatWvb1/Pkk09mmzdzhzeLFy828fHx5qWXXjLTpk0zzz//vImKijKSTN++fZ2uPyMjw/Tt29dIMqVLlzYvvPCCmTZtmhk1apS58sor7Z137d271+H8f/75p4mLizOSTJ06dcwbb7xhpk6davr06WNKlixp7whLDjqmXLhwoUlISDA33nijw45Rzp49axISEkxCQkKunVu60vnPpk2bTIUKFYwk0759ezNx4kQzZcoU89BDD5kiRYoYi8Vixo0b53R+Z1atWmUSEhLMY489Zo/BFndCQkK2Tlz27dtnGjRoYCSZK6+80owePdpMnTrVPP3006Zo0aJGkunfv7+xWq25ruenn34ysbGxpm/fvmbq1KnmhRdeMJGRkW51PuZKx5TGGDNixAh7uddee83+eXp6urnnnnuMJFOmTBkzePBg8+GHH5rhw4eb+Ph4I8m0bt3anDx5MsvyEhISzJNPPmlf5jvvvGMSEhLM4cOHs5Rr0qSJkWQaN26cLaaEhAQzceJEI8k8/vjjJiEhIcv0EydOmJYtW2b5zqdNm2YGDRpkSpcubSSZ7t27m3PnzmWZ75tvvsl2jI4dO9ZUrlzZDBs2zEyZMsU88MADeeoE0LbMunXrGknmxhtvzHK8JCQkmFOnTtm3K3PZXr16maeeespcccUV5vXXXzcffPCBueWWW7LVn2uvvdZIMsWLFzdPP/20ef/9982oUaPMTTfdZCSZkiVLml9++SVbbLt27TIJCQlm/Pjx9v3x6aefmho1apjHH3/cfPjhh2bUqFH2TgAbNmxozp8/73A7e/fubSSZGjVq2M9rr7/+urnuuuvsy/7yyy/t5R0d3xMmTDCRkZHmySefNFOnTjVjxowx9erVsx9jmzZtcrhuq9VqnnvuOSPJFC1a1Dz99NNm6tSpZvTo0fbzWoMGDcz+/fuzzHf48OFs55zJkyebJk2amDZt2pgJEyaYCRMm2GMYPny4WbRoUZZjpG7dutn25+XHcn7PRU899ZSRZEJDQ03v3r3NlClTzJtvvmkaNWpk2rVrZ1566aV8d0zpbn325DGUm6ZNm9rXsWfPHre3NafYv/jiC1OzZk3TtWtX895775k333zTHvv06dMdHrfOjB071l6mW7du5v333zfvvPOOufnmm02DBg3MhAkT3O7EzlHsQ4cOzXZe2bx5s0lISMjSyfD3339vypcvb3r16mWmTJliXn31VVOqVKls1wJPXruWLl1qatasaV555RXz7rvvmrvuust+TM+bN89cuHDB3Hrrrfbj+4UXXjAlSpQwksxdd92V5+8ns88++8wUKVLESDJt27Y1kyZNMu+++665/fbbTbFixcwbb7xhj3P8+PEmISHBbNu2Lcsy9uzZYz8vN2vWzLz99ttm6tSppm/fvvbv4plnnsn2XTg6pz/yyCOmRYsWZsKECea9994zHTp0MJJMeHi4WblypdPt8GQM3ryu2PZ/165djSQTGxub7Ry5a9cuY4yxn09tZXM6h33xxRf2+5277rrLvPfee2bixImmffv2RpIpVaqUWb58ebb5PLkPnLHVM2f3hQkJCWbz5s1Z5jl58qS5+eab7c8Dw4cPNx9++KEZPHiwKVOmjJFkevTo4bQz/NyMHDnSSDLly5c3gwYNMlOmTDFjx441bdu2tcf45ptvOpx39OjRJiQkxH49/fDDD824cePs5+DKlSubP/74w+G8Bw4csD/PVK5c2YwYMcJ8+OGH5vnnnzcxMTHm+eeft3fe2LVr1yz3zb/88kuux8Nnn31mEhISTGxsbK4dQLq7HXv37rXH2KVLF/PWW2+ZKVOmmAEDBpiSJUsaSaZYsWJZ5rHtZ1tctm3L/M8YY06dOpWt7Msvv2xuu+0207hxYzNu3Djz7rvvmuuvv95+vNrY1h0bG2sGDx5spkyZYkaMGGGvq5UrV8527jLG5Om+xdF9sDNvvfWWCQ0NNUWKFLGfu9966y379xsfH2/+/PPPLPM42v6XXnrJdOjQwXTq1Mm89957ZsKECaZZs2ZGkomJiTH//POP0xicKTRJiGPHjtm/KNu/a6+91rz99tt5uhHKyMiwJyAaNGhgkpOTs0xPT083d955p5Fkbr/99mzzZ35orF+/vvn333+zTP/kk0+MJBMSEuL0gdR2s1qxYsVsiYZz587ZT07XXXeduXDhQpbpp0+fNtWrVzeSTPPmzc2ZM2eyTF+9erX9ZtV2w+aIK72z5raM3JIQhw4dMmXLlrUf3Jf78ccf7SOZuNvzqyuJkNOnT9sfgtq1a5ftoXfTpk2mePHiRpIZMWJEruupVauWWbt2bZbpr732mpG8l4Sw3XBIMqtXr7Z/btuPFSpUyHYsJScnm6uuusp+03f5TdHevXvty/zkk0+yrfPgwYPGYrEYScZisWR7eDTGmM8//9xIMomJiVk+z8jIsI9E0bZt22zf+d69e+0PhM8884zDbbZtW7ly5Uy9evXM8ePHs0xv165dnh/48jI6hq1spUqVzI033mjOnj2bZfuuuOKKLPWnfv36pkSJEmbr1q3ZlmXrobxcuXL2ZMfldu/ebd8fFStWNF9//XWW6f/884/9Jn7mzJnZ5rclHytXrpztIdVqtZoHH3zQaX3OfBwWK1YsyzFmzKXkpO0YjI+PN6mpqU63sXjx4tkSFefOnTPt2rUzkky9evWynbdsbDFUqlTJDBw4MMu0vXv3GovFkuVmx9VepvN7Lnrvvffssc2ZMyfLtIsXL5o777zTvvz8JCHyU5+Nyf8x5ArbaETh4eFuze9M5tgrVapkJk2alGX6r7/+mu34ze38v2DBgiwPtpd75pln7Pstp2tIXmLP6Tz+008/2ctVrlzZfPvtt1mm2+4fbMvw9LXrmmuuyXYet41cUr16dTNhwgQzZcqULNNXrlzp8NqTF3/88YcJCwtzer4fP368CQ0Nta/H0XX09OnTpk6dOkaS6dmzZ7bjf/PmzfYkgKN9bcz/zukVKlQwd9xxh8nIyLBPs1qtpk2bNka6lOhzxJMx+Oq6kpfRMXIru3TpUvt58sMPP8w23XZvW7RoUYfxGpP/feAKV0fHyMjIsK/vqquuyvY8kPk+5aGHHspzHFu3brU/fDt6TrF9X44e4D/88EP79fjy62nm63nVqlWzXe8zMjJMixYtjCRTs2ZNc+zYsSzTd+7cacqUKWOvc84SCK4cO7mNQpGf7ejRo4eRHP+oe+DAAfuPse7E5ahspUqVzD333JPlmExLSzMlS5bMcs9YrFgxU6lSpWw/dFy8eNE8/PDDRpK5+uqrHV6jjcnbqF65lbUd66Ghodl+nM/IyDA9e/a0nyOOHDmS4/ZXqFDBPP3001mmpaen2xOHDz/8cK7xXq7QJCGMuZTZzXzDkPnfNddcY4YPH2527tyZ4zIyn5wcZY+NuXRwh4aG5pqEcHTRT09Pt2eJ33vvvWzTd+zYYa/4H330kcP1b9261b6OTz/9NMu0zL8W/P777w7nt7WycPbAYYxvkhC2k0v16tXNxYsXHZa5++67jXSpRYezCpsTVy42tlYEoaGh9sz/5WwnW2dlMq9nwIAB2aZv3rzZ9OrVyyQlJbkdv7Ob1++//95eJvOFefny5fbPZ8yY4XDezDe9jh46rrnmGiPJ3HPPPdmmffDBByY8PNx+0+HoeL7vvvtMgwYNsn0+bdo0I11KxjnLnr777rv279xRqx/bMSop2826McbMmjXL4b7IiTtJCEkOs/STJ082o0ePtv9dv359h62njLl0capSpYrTmzdjsj7I3HTTTQ7L2H6xcbS/bK0QunXr5nDenTt3Oq3PmY/Dfv36OZz/jz/+sJe5/ML+zz//2M9rzh6G/vnnH/uxNHLkSIdlbMuvUKGCw1+e+vXrlyVJ4OrFPD/nojNnzth/oe7SpYvDeQ8dOmR/yHI3CeGJ+pzfYyg3KSkp9uWXKVMmz/PnJHPsjlpepaenm169emW5bud2/s/cstDR9eXMmTN+S0I4qqcHDhwwvXr1sv+K5ulr16hRo7JNX7t2rX16gwYNHH5Ptu9x6NChTrctJ506dTLSpV8OHSUgrVarvbWH5DgJ8fLLLxtJpkSJEtkeVmwGDRpkpEutA06fPp1teuZzuqPvasaMGfbrlqP5PR2DL64rnkpCZGRkmJo1axpJ5uabb3Yaj62MsyRCfveBK1xNQtjWJclh643Ll/Xzzz/nKY533nnH6fnMmEvJ/dDQ0GzX05MnT9pbIA0bNszhvCdOnLA/a1xer7/44gt7zJlbPmY2btw4p9dzm/wmIfK7HbbrrqP7P2OMefHFF53uY3eSEBEREQ7v4UeOHGmmTp1q/7tYsWJmzJgxDpeVmppq354lS5Y4LOOpJERKSoqJjo42kvMk2cmTJ01MTIyRnCcRbNtfvHhxhz8w2a5D5cqVyzXeyxWaPiEkqUWLFtq6dauee+45lShRIsu0zZs3a+TIkbriiivUrVs37d271+EyJk+eLEmKj4/XDTfc4LBMxYoV1apVq2y9XF/ulltuyfZZeHi4/f3QnTt3Zps+ZcoUZWRkKDQ0VN26dXO43CuvvFJVqlSRJH3++edZptneJapWrZqaNGnicH5vDIWWV8nJyfriiy8kXYonc58GmXXq1EnSpc7ObEOceZIxRu+9956kS/1h1KhRw2G5+++/X9Kl0Sc++OCDHJfpaL9dffXVmjFjhmJjY92ONSUlRceOHbP/27Ztm0aPHq3u3btLutQ55SeffGIvbzuWw8PDne7zm2++2T40nK18Zrfddpsk6ccff8z2Xvv8+fPVtm1bNW3aVNKl97kzu3jxohYsWGBfRma277xx48ZORyix7fuMjAx9+eWXDstIUtGiRe1lM7v77rs1btw4p/N5yhVXXOGwf5k+ffrohRdesP+9aNEijRkzxuEyQkNDde2110qSfvnll1zX6eg7lS6dGyTH55aMjAxJ0vr163X27Nls02vWrKnFixerY8eOOa7b2bHUoEED1atXT5Ky9RPzwQcf2Ndvq0uO1t+8eXNJ0rvvvuuwbwOb2267zeEwzBMmTMjzUFX5PRd9++239tEP7r77bofzli9fXi1btsxTXJfzRH3OzJ1jKDdpaWn2/+c2SpWU/Zxm+3fmzJkc53N0jg0PD9eMGTOcXrcv9/vvv2vbtm2SpO7duzvsNyIqKsrhddwXHG1jxYoVNWPGDNWtW9cr1y5H59ErrrjC/n/bO8uXq1OnjqRLdSOvDh8+rEWLFkmSbr31VofHjcVicXo/JF26jtu2rVOnToqJiXFYzrZ9J0+ezNb3SGb169d3+H3a6obVas3WAbSnY/DHdSU/Fi5caP9OnJ3jQ0NDdc8990i61OfZ5X0QZebOPvA02zm0UqVKatWqlcMyd911l/1alNs593K2a+LOnTt19OjRbNMjIyP1008/qWfPnlk+/+STT+znWtv3eTnbO/+S8+eEyMhIp9cBXzwn5Hc7bN/fr7/+6nDeJ598UosXL/ZUuPY+dy43bNgw/b//9//sf2/dulX9+vVzuIwSJUrYz6nerpOffPKJvU8MZ3UyJibGfo379NNPdfLkSafLa9WqVbZna+l/dfLIkSNZ7gFcUaiSEJIUGxurt99+W0eOHNGXX36p++67TyVLlrRPN8Zozpw5atSokbZs2ZJl3pSUFPvNZaNGjXJcz9KlS/Xxxx/nWKZ27doOP7fFk5KSkm2arQOo+Ph4nT9/3uEN2rFjx+w9jmfuIPPEiRP2myrbhceR+vXr5xi3L6xcudLeCV316tWdbmfx4sXt87jaGWhe/PXXXzpy5Igk5dgze+3ate1Jp8yddDliq5Cedscdd6hs2bL2f/Xq1dPQoUMVFhamp59+WuvWrVPFihXt5W1x2jqHcsZ2rK9fvz7bCcR2gTp58mSWE+aZM2e0dOlS3XbbbfYyy5Yty9LBza+//qrk5ORsF7nM9eyKK65wuu8jIiLs8+S072vXrq0iRYo4ne5tru7vihUrZjmBnzp1SsePH7dvb9GiRSXJpc4d3Tm32B6CExMT1bJlS33zzTdZOoK0WCxq166dKlSokOO6czp/2M47e/bsydIh2rJlyyRduuDVqlXL6fy2OnjkyBH7ucwRT9ax/J6LMnf8583zrifqc2buHEO5yXx8O0p0Xe7222/Pck6z/Rs7dmyO83li//tqv7krt230xrXL0TGReZ86O2ZsZXK6gXVm9erV9o663d0Pf/31l/0hrlatWk7rsO0cK+V+TXEk873k5fXD0zH447qSH7ZzvJTz8Zh5mqPOgW3c2QeelJqaqvXr10vKeXuKFy9uT8LlVr8uZ7smp6am6vrrr9fHH3+cLQF74403ZkvG2NYTFham2NhYp8ea7YF569at9uUaY+wde9atW1eRkZEOY6tatWqO1xlPyM92SP/7/saOHatHH300W+eIlSpVUrt27TwWr6t1skqVKvZkqjFGqampDu8lClqdPH/+fI6dvnqjTvrvzt3LoqKi1L17d3Xv3l0XL17UokWL9MEHH+jbb7+VMUbHjx9Xr169svyilZiYaL8YZn6Yc5ejjJEke9bUUY/ptsxuYmKiypYtm+s6kpKSZIzJ0turpBwfJGwjifhT5gx2nz591KdPn1znsd1weSsO2y+IzlSsWFGpqam5Zt9zayHjrnHjxumaa66x/207cdetWzfbr7e2Xxil3LfLNj0jI0OJiYlZfn1p0qSJypcvr8OHD+vbb79V69atJV369eXcuXO67bbblJycbO8dfdGiRerataukS78Qx8XF2bPYNpnr2aeffqpPP/00123Pad976/t2lavrN8YoISFB06dP19q1a532vO9KL/PunFu6d++uOXPmaNasWdq4caPuvPNOlSpVSrfeequ6deumzp07O2xdcLnMF5zLZT5v7tmzR5UrV5b0v3qW23k187G6a9cue8uKy3lyn+f3XJR5xBtvnXc9VZ8zc+cYyk10dLTCw8N1/vx5paWl2a9Nzrz11lv2ViRHjhzRAw884PJ68ssX+y0/cttGb1y7MifabDLvP0fTJSkk5NLvWe4cM57YD5m3a/To0Ro9enSu683pmpJb3ZCyb6unY/DHdSU/XD0eLz/HO+POPvCk3bt32+9TXDnnbtmyRUlJSUpLS3Ma++WaNm2qQYMGaezYsdq1a5d69eqlPn36qFOnTrrzzjt1++23O0wE2L63CxcuqFy5crmux2q1KikpSVWrVtXJkyftD4q5/eBQqlSpfI8QlJP8bIckjR8/Xn/++af27dunDz/8UB9++KHq16+vrl27qnv37rr66qs9Gq+rdfLChQt6//339emnn2rTpk1ORzP0VZ20jYbhjD/rZKFNQmRWpEgRdenSRV26dNHy5ct1yy236MyZM9q4caO2bNliv0k7deqUfR5n2cG8sF2Y88IWQ61atexNLXNju9HLfLLIKX5nzY19KfN3/corr6hFixa5zuPqcIvuxpHbPrdNz23YI3f2uysaN26c6zA8Nu5sl5R92ywWi2655RZNmzZN3377rd5++21Jl17FaNiwoSpXrqzKlSuratWq2rNnj+bPn58lCXHrrbdm+z4yx9atWzc98cQTuW6Ps6atkve+b1e5sv6LFy/qzjvv1LfffquwsDD17t1b119/vSpUqGC/yX/zzTftzZI9sc7LWSwWffHFF7rrrrs0YcIE/fLLL0pOTlZCQoISEhIUFxenl156yWkzQpuczh+Zj6XM+9n2//wci5l5cp/n91zki/Oup+pzZt6qNw0bNtSaNWt0/vx5JSYmZhme8nKZf53Jy/DFnoi9oF8vc9tGb1y7chvKNLfp7vDEfsj8XfTp08d+DcpJTg89+bl382UMnr6u5Ierx6O/z0+uys8519UkhCSNGTNG7du31/jx47Vw4UKdPn1aX3/9tb7++muVKFFC/fv314svvqiwsLBssRUvXlzffPONS+uxtSZwtb5J3j/35Wc7pEuvgW3atEkTJkzQ1KlTdfDgQf3111/666+/9Nprr+n666/XxIkTc23Z7ipXjsnU1FS1b99ev//+u4oVK6a+ffuqUaNG9tbrkjRgwAD98ccfHokpJwX5vssmKJIQmd1888165pln7Fnq7du325MQmU8c3s5QOVOiRAklJycrNDQ0z82IMv9KkVP8tveo8sOWIXbX5U08Pdlkyt04ctvntuk5PRAXFO5sl+R422677TZNmzZN//zzj7Zv364rrrhC3333nZ588kl7mVtvvVWTJ0/W999/L6vVqp07d2rnzp0Om1Vnji02NtZv+96XJk+ebO8z4/PPP3f4fnPm/jy86a677tJdd92lxMREzZo1SwkJCfamxE8//bSSkpL0yiuvOJ3f1meNI5mPpcznI9t5Lb/Hojfk91x0+XnX2a8l+TnverI+e1vr1q21Zs0aSdKGDRtyTEL4ky+vl95QWK5dntgPmb+L+Ph4v1xT/BFDQbquXH48OjsP+vv85CpfnnPbtWundu3a6fDhw5o9e7Y++eQTrVmzRmlpaRo5cqT+/fffLK9/22K7cOGC154TJO8/K+RnO2xKly6tESNGaNiwYfr555/1xRdfaNasWUpJSdGqVat0ww03aO3atT57rW748OH6/fffFRoaqmXLlmVrCSz5rnWd7fstyPcMhaZPiHHjxql8+fI6f/58rmVtnZ9JytL5WfXq1e2ZnoMHD3o+SBfY3pfev39/jh2zOVK1alV79vvQoUNOy9mav+bE9o69s6Y1uf2ikpvM74U76yTUFzLHkds+t0131pFiQRIdHW1/nSe37Tpw4ICkS1lvWzO3zNq1a2fvn+G7777T6tWrlZSUlKWvB9v/k5KS9Ntvv+nbb79VRESE2rdvn215meuZP/e9L3311VeSLjWLzqmDNV+qVq2aBg8erD///FPfffedSpcuLUl64403cnyvL6f3vjMfa5kfPm31zNVjUfJdPcvvuShzq4j8nned8WR99rbevXvb67erv275gy/2mzcVlmuXJ/ZDQbif8EcMBem64urx6I9zvDvy8jxg26a4uDinryy5onz58urbt69+++03rVq1yl43EhISsvSRZPuu09PTHXZomZOYmBj7K5U51Tcp9z5ecntOkHJ+VsjPdlwuJCRErVu31gcffKD9+/drwIABki71TZTTjyqeZquTzZo1c5iA8CXb93v27Nkc96U/62ShSUKcOnVKR44c0b///ptr2cyZufj4ePv/S5Qooeuuu06S7B3SOPP444/r7rvv9niLCds796dPn9aff/7ptNxvv/2mIkWKZHkQLFWqlP0d6o0bNzqdN6ceiW1sWWxnB+6OHTtyXUZOrr/+evt7RLZfzZzp0qWLihQp4pWOKa+88kqVL19eUs77/J9//rGfTG37qKCzxbl9+/Yce5u39Yty3XXXOWxGWKxYMbVp00bSpVcs5s+fr4oVK2ZpSn3zzTfbL77z58/X/Pnz1aZNG4fvM2auZ2vXrs0xUz5mzBgVKVLEJ6NcSN5pbizJfoHN6d3SzM0/vWHOnDl6//33HU675ZZb9Oqrr0q69KtETvU7p/OH7bxTvXr1LP0/2I7FlJSUHN85tB2L5cuXV926dZ2Wc5Ur+zO/56LMozHk97ybE0/VZ2+rXbu2evToIUn6+uuvs/RVVJD4ar95S2G5drVo0cL+sOfufsj8XeRWh/v06aMiRYpo9uzZbkTrnD9i8MR1xVPXvMzHVk7HY+Z+2Fx9vdTTXNlmV58HTp8+bR8VJq/1a9myZXrjjTccTmvRokWW0TYyPw9kXk9Ox9rBgwcVERGRpW8Ei8Vi79Bx+/btTp9h9u7dm+uxk9tzwtGjR3P8QSM/2yFJL730kn7//fds5YsXL65x48bZRwh09CxVkO/1/FUnw8PDdf3113tk3a4qNEkIm1mzZuVaZuHChZKkMmXKZBvG8qmnnpJ0qSWCs+FTNm/erClTpujgwYMe6Tsis8cff9ze1PnyYe4ymzZtmjIyMuw3eza9evWSdKlTOGcP7V9//XWucdiGkPn3338dZjm/++67XJeRk5IlS9qHjFm4cKHTDpr27NmjRYsWqWbNmvYLgidZLBb7awWrV6/W7t27HZb77LPPJF36dfGxxx7zeBzeYOtgLz093ek+X7FihT0Lajv2HbElu1auXKlZs2bp1ltvzXKijIiIUIcOHSRJX3zxhVatWuV06KfM6zp27Ji+//57h2UuXryomTNnymKx2Ich9TZbT+KZR404d+6c6tatm2UIpryydQC1a9cuh0kXY4w2bdrk9vJdMX/+fA0bNszp9MydVOXU+aSzY2nLli32X2seeuihLNMyn9dsdelyu3fv1m+//Sbp0rHriQuxo/0pXepVu3PnzpLyfy669dZb7a1IbL+CXO7IkSNOhxFzlSfrs7dNnDhRVapU0blz5/TYY495tQM5d1133XX2pP3s2bMdtjw8d+6c0/OTvxWWa1e5cuXsw1Z+//33TkdVmTNnjtNlZP4uNmzY4PR969TUVM2aNUslSpRwOBxpfvgjBk9cV5ydI+++++48dezXsWNH+6+ozs7xGRkZ9nv0Nm3aeG0ksdxkHqEk83Y/99xzqlu3rpKSkiS59jzw9ddf21tgu9KpcWYrVqzQ0KFDnY5i5OyafP/999ubzef0nDB9+nSdP38+2/CXtueEc+fOZRta3SYvzwmnT5/O8mu6TW7PCfndjlGjRjm95kr/+/4c3c84Ou537dqlunXravjw4TnGnRPbOp39kHP27Flt3749x2W4ct/iiszfr7M6mZqaat9PDzzwAK9j5Ncbb7yR49jLn3/+uaZNmyZJGjlyZLah/R544AH7r759+/bN1pTozJkzevTRRyVdysJ5Wo0aNfTyyy9LkiZNmpRliBWb2bNna9q0aWrUqFG2SvnUU0/Zm0E/88wz2S7oa9eu1UcffZRrHB07dpTFYtHZs2eznYz+/fffHG8IXDV69GiVK1dOZ86c0SOPPJKtB9m0tDTdd999ysjI0OjRo72WuRw4cKCuvPJKZWRk6Iknnsj2Ss+WLVvsv8QPGzbM6XjsBU2rVq3sD4NDhgzJMmSidOnkY+uEsG3btjn2TH/rrbdKunQTsWfPHocJBttne/bsUUZGhn0eRzLXs379+mW7gFmtVj3//PPatm2b+vTp47Nm5bYhiDI3p/3jjz/0999/56uTJltT2RMnTjgc0/2tt97y+pjn0qXXZSZMmJDtc1sP65J0zTXXOB2KSbrUxP7yXx/S09PVt29fSZdalz333HNZpmc+r7355pvZbtDPnz+vJ554QhkZGapXr56ef/75vG+cA7bt2Ldvn/2zw4cP67fffsty056fc1FkZKRef/11SdIPP/yguXPnZpnXarWqX79+eX697nKerM/eVrp0af3www+qXLmyFi1apDvuuCPHpr8rVqzIci3z1rn+cm+99ZakS8MrvvPOO9mmv/jiizpx4oRPYnFHYbl2vfHGGwoLC9OxY8c0dOjQbNMnTpyYa9Nx23chXXol6PJfYM+fP6/evXvrxIkTGjZsWL6azReUGDxxXbGdI48ePWr/VTw9PV1Llixx2qu/IyEhIZoyZYpCQkK0bNkyTZ8+PVuZV199Vf/884+KFi2a5Vd+X8t8fct8rV+0aJH27dtnf2f/8ueBy/fngQMH7Mfrww8/rJtuuinPsRhjNGLECIfTbP1AlC9fXjfeeKP98+joaPv5as6cOfZrd2arVq3Sq6++qvj4ePu12eauu+6yd8A8ZMgQHT9+PMv0f//9V+PHj8/1+LzxxhvtrV0v73vkxIkT+u9//5vjiBL53Q7p0g+yjlrbJSYmasWKFZLk8EcsR/d669ev199//52vH5dtdXLz5s36/PPPs0wzxmjQoEG5jjji6n1LbjJ/vx9//LEWL16cZbrVatWzzz6rlJQUlStXzqURfTyt0HRMWbFiRYWFhencuXPq0qWLWrVqpXbt2qlixYoyxmjfvn1atGiRVq9erdDQUA0fPtzhL0UhISGaM2eO7rjjDi1fvlwNGjRQ7969ValSJe3Zs0czZ87Uvn379Morr2TJYv/xxx/6448/tHr1avtntkrZtWtXFStWTIsXL9aRI0fsv7T9+++/+uSTT1S8eHHdcccd9vmGDRum1NRUvf322+rQoYPuu+8+tWzZUmfOnNGKFSs0d+5c1a5dW3PmzMmWRClatKh9KMXVq1erUaNGevjhh1WmTBlt3LhR06dP15tvvmnf9tWrV6tIkSKqWrVqlpNc9erV1adPH02ePFm9e/fW+vXrdeWVV2r37t2aOXOmpk+frrZt22ZZRo0aNXT99ddr9erV2rVrl8Pv4vrrr7ffCJUrV05LlixRly5d9P333+vqq6/Wgw8+qPLly2vXrl2aOXOmDh8+rFGjRunOO+/M0/GQUwyZ94l0afiaRYsWqXPnzlq0aJEaNmyonj17KjY2Vlu2bNGHH36o06dP67nnnrM/SNnktN8v3695MXfuXJ06dSrLchcvXmx/8Gjfvr1LQxq9//77Onv2rGbNmqVrr71Wjz76qGrXrq39+/dr2rRp2rt3r26++WZ9/fXXOd74x8fH69prr9WmTZsUFRVl3/eZ3XLLLQoJCZHVatW1116b5VWnyzmrZ3Xr1tXhw4c1d+5crV+/Xv/5z3+ydW5pq0e2V6+OHDli/85r1qzp0ugGztx///2aMGGCVq1apcGDB6tKlSqaPHmyQkJC7L8e2PbN5fVYkq6++mqHvx49+eST+u6777R48WINHTpUv/76q9q1ayeLxaIlS5Zo8eLFqlatmhITE+3bYzt+jhw5osWLF9uHaLR9B/v377fXJ9txaHu4P336dLbzj61p/jPPPKPvv/9erVu3VtmyZXX06FHNmTNH69atU/ny5XMdMnXq1Knq2LGj7rvvPjVq1EgnTpzQjBkztHXrVpUpU0bffvutw9cAhg0bppSUFI0fP17XX3+9HnnkEV199dU6duyYPv74Y23dulVXXXWVFixYYB9j27Ytl/ctYDvnSDnXhW7dumno0KHat2+fHnvsMTVq1Egff/yxrFarHn74YXu5/J6LHn/8cW3ZskWTJ0/WXXfdpV69eqlFixZKSUnR559/rtOnT6tPnz6aMGFCln1z22235emXB3frs6eOobyoX7++fvvtN/Xp00fz589X7dq11aVLFzVp0kSxsbE6deqUduzYoaVLl9pb0FSqVEkDBgzIMmJOTrE7i83Va1CnTp00duxYDRo0SM8995xWrlypdu3a6fz58/rmm2+0bds2vfjiixo5cmSWZbRu3TrXYfukS+eGVatWOY3dFoutXOb3vufOnWvvCd5ZQslb1y7bd3r5g4Wt3tnOc87OxXm99jVo0EAzZ85Uz5499d///ld//vmnunbtqpCQEC1atEjr16/X22+/nWNizfZddOnSRevXr1f9+vX18MMPq1q1atq7d6+++OIL7dixQ0888YSeffbZLPM6O6eXK1dO7du3t5+DHO3HzOd8b8Qgeee6YmM7f9qGyO3QoYPmzZun5ORkDRo0yL6tR44ccXhuyHz+bdOmjT777DM99NBD6t27txYsWKC2bdvq4sWLmj9/vhYtWqSSJUvqm2++yfa6naf2gSuuueYaNWjQQFu2bNGjjz6qe+65R7/++qu2bt2qxx9/3H5tufw+5eqrr9YjjzyiypUra+fOnfrwww917Ngx3XPPPU5fdcyJ7Tr59ttva+XKlbr11ltVoUIFnThxQgsXLtSyZctUokQJff7559kejHv16qXjx49r0KBB6tmzp+bMmaN27drJarVq7dq1+uyzzxQbG6v58+dnu8ZYLBbNnj1bN998s3bu3Gm/llSuXFl///23pk2bpnHjxmnEiBE5vjpQrFgxjRgxQgMHDtRLL72kxMRENWnSRIcPH9a0adP0yiuv6MUXX1Rqaqr++OMPffLJJ4qLi7O3ms3vdhQvXlzJycmqX7++evbsqXr16qlIkSL6+++/lZCQoJMnT6pr164OkxcPPvig5s2bp6+//lp16tRR8eLF9eabbyoqKsrewtx2jNuSBrZtkLJeRzIbPny4li1bps2bN+v+++/X/Pnz7c9v3377rTZv3mwf9v7yY9zGlfsWW31xdB+c+ZqY+fvt0qWLevXqpebNm+vUqVP64osvtGbNGsXHx+uHH37IMoJHTttvu8+2XZsdXbecfT/ZmELkxIkT5tNPPzWPP/64ad68uSlXrpyJiIgwYWFhpkyZMqZZs2Zm4MCBZtu2bbkuy2q1mk8++cR06NDBlC1b1hQpUsTExcWZ22+/3Sxbtixb+eHDhxtJDv/t3r3bGGNMq1atHE6vWrWqwxhWrlxp7r33XlO5cmUTHh5uSpQoYZo2bWrGjBljTp8+nWP8R44cMX379jVVqlQx4eHhJi4uztxyyy1m6dKlxhiTLYZu3bplW0ZGRoZ58803Tb169UxERISJjY01Xbt2NZs2bXK4jPvvv98YY0yvXr2cfhfTp0/Ptp60tDQzevRo06RJExMdHW3CwsJM5cqVzb333mtWr16d43Y6k1MMmfdJZunp6WbSpEnmxhtvNKVKlTLh4eGmUqVKpkePHubXX391uJ6c9ruz/eqKqlWr5hj/Tz/9lKflffvtt+b222835cqVM2FhYSY2Nta0b9/eJCQkGKvV6tIyXn75ZSPJ3HbbbU7LtGjRwkgyL7/8skvLdFTPYmNjTYcOHcxnn33mcB5n9UiS6dWrl0vrzcns2bNN48aNTWRkpClZsqS5/vrrzaJFi+zTc9o3w4cPd7rcCxcumP/+97/muuuuM0WLFjXh4eGmatWqpmfPnuaPP/7Idszajp+ffvop1/rkyvnHtqx+/fqZRo0amZIlS5rQ0FBTokQJ07hxYzN8+HBz/Phxh7FPnz7dvjxjjNm0aZO55557TMWKFU14eLiJj483TzzxhDl48GCu3++vv/5q7r33XlOpUiUTHh5uSpUqZW644QYzadIkk56enq387t2781UXfvrpJ3PDDTeYokWLmuLFi5tGjRo5Pbbyey766quvzE033WRKlChhihYtaq688kozdOhQk5aW5nAfbdmyJddlOpLX+uzJY8gda9asMQMGDDANGza01/Po6GhTpUoV0759ezN48GCzfPlyk5GRkafYncWW12vQ0qVLTadOnUypUqVMZGSkqVmzpunXr585cuRIlmPf9u/bb791absdzesoltzK5cbT1y7bd5rbeS6v9zS52bBhg+nWrZuJjY01ERERpkaNGuaZZ54xSUlJZtmyZfbl79u3z+kyzp8/byZPnmz/LooUKWLKly9vbr/9drNgwQKH8zg7p7dq1coYk/M5yNE535MxeOu6ktnmzZtNx44dTXR0tImKijL169c3EydOtNfHnK65js6/iYmJ5umnnzZXXHGFiYqKMsWKFTNXXXWVGTJkiDl69KhP9kFuEhMTTbdu3Uzp0qVNRESEueKKK8yIESPMuXPnspW1Wq0mISHBdOjQwcTGxpqwsDBTrlw5c/vtt7t8LnBm7dq1ZtCgQaZ58+amdOnSJjQ01P599e/fP8dj3Rhj/vzzT/PII4+Y6tWrm4iICFO0aFFzzTXXmBdffNEcO3Ysx3lTU1PN0KFDTe3atU1ERIQpW7asufXWW83y5cuNMf/bJ7l9vx999JFp1KiRiYqKMiVLljTt27fPtgzbv5YtW3psO1JTU81HH31kunXrZmrUqGGioqJMkSJFTLly5UyXLl3MrFmzcoz7vffeM/Xq1TPh4eH2a+jatWvt0105dzty+vRpM3LkSHPVVVeZyMhIExkZaWrXrm369Oljdu/ena0+2Y7xzHK7b8npfOHomrhlyxbzyCOPmGrVqpmIiAgTHR1trrvuOvP666+btLQ0h9vhbPm2+2xX7ityY/m/FQEA4NCMGTPsGXguGQB8bf78+br99tslXfplLvN7/QA8r1q1atqzZ4+GDx/u9JURID8KXZ8QAAAACAznzp3TunXrchxifefOnZIuvSpKAgIAAh9JCAAAAPiF7V1y28hljsyfP1+S7K0hAACBjSQEAAAA/GrUqFEOR2SYPn26VqxYoVKlSnls5BwAgH8VmtExAACe5eooAwDgLttILr///rvq1aun+++/X1WrVtWpU6e0ZMkSfffddypZsqS+/vprl0YlAeCezKNRXT4qQn5GfAMcoWNKAIBDDz30kGbOnOlw2vTp0/XQQw/5NiAAhdKaNWv05Zdf6pdfftGuXbuUkpKiqKgoVatWTZ07d9azzz6rihUr+jtMoFBLTExU9erVHU6rWrWqEhMTfRsQCjWSEAAAAAAAwCd4HcNDrFarDh48qBIlStibFgIAAAAA4C3GGKWlpalixYoKCQmMLh9JQnjIwYMHFR8f7+8wAAAAAABBZt++fapcubK/w3AJSQgPKVGihKRLOz86OtrP0ThntVqVlJSksmXLBkymDPAk6gCCHXUAwY46gGBHHShcUlNTFR8fb38eDQQkITzE9gpGdHR0gU9CnDt3TtHR0Zx0EJSoAwh21AEEO+oAgh11oHAKpC4BOOoAAAAAAIBPkIQAAAAAAAA+QRICAAAAAAD4BEkIAAAAAADgEyQhAAAAAACAT5CEAAAAAAAAPkESAgAAAAAA+ARJCAAAAAAA4BMkIQAAAAAAgE+QhAAAAAAAAD5BEgIAAAAAAPgESQgAAAAAAOATJCEAAAAAAIBPkIQAAAAAAAA+QRICAAAAAAD4BEkIAAAAAADgE0X8HQB86+cdSTp8LFlljhuFFQmVRdKZ8xmas+GAnm1XW1dVitH5i1Z9vDpRJ89cUNdGlZSweo861Cun/SfPqlLJKC3eekQ1yhZT6zpxkqTjp89rwZZDeqB5VUUUCdGSbUdVrUxRTV+VqOc71NGcDftVr2K0OtQrrz8PpiiuRIRCLBadu5ChIXO26O4m8br7unhJ0rrEE9p97LRKFQ3X91sOqV+bWlqXmKyKJaO040iayhQPV6eryiuiSGiW7fpp+1ElHj+tTleV15JtR3Vvk3jN3XRQzaqXVtKpdP2685j+c01FbdyXrBY1YnX8dLrqV4yxz2+M0V8HU1WlTFHtTjqt2uWKa8Oek9q8/6R6t6yuqPBQGWM0c1WiioYX0dG0c4oMC9XVlUvqQoZVDauU1Gvfb9PjN9WQRRZlGKPZ6/epQ73yuia+pCTp7PkMfbv5oNpeGacyxSMkSTuPpGnP8TNqWStWUeFZtynlzAVNXv6P7m1aRSlnL6hSySjtPXFaDeNL6Whaus6cv6iw0Et5xLjoCM3ZcEAd65dXqMWiJduOqFKpKB1NS1fbunHacSRN11QuqS/W7tPOo2nq1qiydh87rfb1yumT3/aoe+N4/Z54Ql+u26cJPRoqKjz0Urx/HFSbunGK/b94AQAAACA/LMYY4+8gCoPU1FTFxMQoJSVF0dHR/g7HqRvHLNO+5LNOp/81sqMemblWv/17wodRSd/1u0GRYaFq9/bPuZZ9/KYaGtLlSvvfO4+kqf34FXle56zHmqtZjTKSLiUxHp6x1mG5UkXDtHFYB328OlHD5v2V5/Vsf7WTIsNCVW/YQp05nyFJSnzjFh04eVYt31gmSbomvqTmPdUyy3zVXvje4fIm3NtQT3++MVuMyWcu5BhH+3rltHjrEZdiTnzjFjV6dbFOnD5v/7uwsFqtOnr0qOLi4hQSQmMwBB/qAIIddQDBjjpQuATKc2hmHHVBpkGlmBynp5674PMEhHQpCdBjymqXyn6w4t8sf//273G31rl0+1H7/7/fcshpOdvD/diFf7u1nrRzFyXJnoCw2bI/xf7/zftOury8r9bty/ZZbgkISS4nIGxsCQgAAAAA8BSSEEFm0n0N9XDT8v4Ow6Fjp3joBQAAAIDCjCQEAAAAAADwCZIQQchisfg7BAAAAABAECIJEYQKYgqC3lEBAAAAoPAjCYEsAmGsFBpyAAAAAEBgIgkRhAL9IT7AwwcAAACAoEUSIggF+kN8SKBnUQAAAAAgSJGEQIGQl9dAPJWDMD5698TQ4wUAAAAASCIJEZRyGh0jEBoZZIvfA0G7sgRPfzWB8F0DAAAAgCeRhEDA4dkdAAAAAAITSYgglNMv8IEwOgZ9QgAAAABAYCIJEYQC/RGeHAQAAAAABCaSECgQ8tJ5IzkIAAAAAAhMJCGCUKA/xOfUsSYAAAAAoOAiCRGEAv0hPrCjBwAAAIDgRRICWQRAv5TZ+4RwszfNQOiEEwAAAAAKE5IQQSjAG0IEfEsOAAAAAAhWJCGCUKA/wod4aAPIZQAAAACAb5GEQMChJQQAAAAABCaSEEEo0J/hPdUSAgAAAADgWyQhglKgP8UHevwAAAAAEJxIQgShnFpCGD8NGZGX1dISAgAAAAACE0mIIBToz/CB/joJAAAAAAQrkhBBKNCf4UM8lIXwU6MPAAAAAAhaJCEQcLyRRPFq6wqSHQAAAAAgiSREUAr01xn8NkSnh1cb4LsBAAAAAPKMJERQKniPv3lpLBDoSRQAAAAACFYkIYJQzqNj+C4Od3mqTwgAAAAAgG+RhAhCgf4ITw4CAAAAAAITSYggxEM8AAAAAMAfSEKgYMjDeyC8jgEAAAAAgYkkBAIOKQgAAAAACExF/B0AkGeXZSHc7UszL/N9s3G/TqVfdHNN2Q38arOio8LcmjcQOg8FAAAAAEdIQiDg+ON1jOdmbfbo8r5av9+jywMAAACAQMDrGCgY/JBYCNTXOugSAwAAAECgIgmBgoF3DAAAAACg0CMJAQAAAAAAfIIkRBCyBOyLCAAAAACAQEYSAlnwVgQAAAAAwFtIQgAAAAAAAJ8gCRGECuLoCv5ogEGjDwAAAADwLZIQCDjeyKF4s58Mkh0AAAAAcAlJCAQcHuoBAAAAIDCRhAAAAAAAAD5BEiII5fTigfFTOwNG5QAAAACAwo8kBAAAAAAA8AmSEAAAAAAAwCdIQgAAAAAAAJ8gCRGELN4bjRIAAAAAAKdIQiALf3UQmZcOMS/PobgbM51hAgAAAIBvkYQAROsQAAAAAPAFkhCAaBUBAAAAAL5AEgIFgiXbSxY+WCetHwAAAADAp4r4OwAAWaVfzFD6Rau/wwAAAAAAjyMJgQIhLx1TFnYtRi/TidPn/R0GAAAAAHgcr2MEIUsO7yGQCvA/EhAAAAAACiuSEAhoG/cma+bqRH+HAQAAAABwAa9jIItR32/zdwh50vXdVW7Py4gYAAAAAOBbtIRAFku2HfHLev2dEPDmSBn+3jYAAAAAKCgKfBJi7969evXVV9WyZUuVKlVKYWFhKleunLp06aLZs2e7vdy///5bDzzwgCpUqKDIyEjVrFlTAwcOVEpKigejL5gYmRIAAAAA4A8FOgnx888/q2bNmho1apTatGmjxYsXa9u2bZo8ebL++ecfde/eXffdd5+s1rwNZ7h8+XI1bNhQ69at04wZM7Rt2za99NJLev/999WoUSMdOnTIS1sEAAAAAEDwKtB9QiQnJ+vixYt6++231a9fP/vntWrV0vXXX6+6devq888/V+vWrfXoo4+6tMyTJ0+qe/fuMsbohx9+UI0aNSRJ1atXV0REhO6//3717NlTixcv9so2AQAAAAAQrAp0SwhJCg0NVa9evbJ9XrFiRd12222SpC+//NLl5U2cOFHHjh3T7bffbk9A2PTo0UMVK1bUkiVLtHLlyvwFDgAAAAAAsijQSYhbbrlFJ06cUHR0tMPplStXliSdOHHC5WV+9dVXkqS2bdtmmxYSEqI2bdpIkmbNmpXXcAOGNzthdBd9NwIAAABA4VegX8cICwtTWFiY0+m2vhsaNGjg0vJOnz6tv/76S5JUt25dh2Vsn69duzYvoQIAAAAAgFwU6CRETi5evGjvt+Gpp55yaZ7du3fbO7EsX768wzIVKlSQJO3atSvHZaWnpys9Pd3+d2pqqiTJarXmuaNMX7JarTIFcMzIvMRkkTzyHVvN//aVN78TV48JV7fJF/vv8lgK8jGdV7Y6UJi2CcgL6gCCHXUAwY46ULgE4n4M2CTERx99pMOHD+vJJ59UkyZNXJrHliiQpKioKIdlihYtKkm5DtU5evRojRw5MtvnSUlJOnfunEvx+IPVatXZM2f9HUY2Z06fcbnsxYyLOnr0aL7XefbMWftyvLnPjh8/ppD08FzLubpN58+fz29Iubo8Fk983wWF1WpVSkqKjDEKCSnQb6QBXkEdQLCjDiDYUQcKl7S0NH+HkGcBmYT4559/9Pzzz6tFixZ6++23/RLDkCFD1L9/f/vfqampio+PV9myZZ32YVEQWK1WFS3qeh8avhL1f8kfVxQJLaK4uDgPrDPKvpyoKO89ZJcpE6u4mMhcy7m6TeHhuSc08uvyWDzxfRcUVqtVFotFZcuW5cKLoEQdQLCjDiDYUQcKl8jI3J8zCpqAS0IcOnRIHTp0UK1atbRgwYI8femZkwNnzzpuDXDmzKVf5GNiYnJcVkREhCIiIrJ9HhISUuArc0HsmNKSl6As8sh3bLFYfLKvnv5ik267pmKu5VyNJU/flZsuj6WgH9N5Zdv3hW27AFdRBxDsqAMIdtSBwiMQ92FAJSEOHjyodu3aKS4uTgsWLMg1UXC56tWry2KxyBijw4cPq3bt2tnK2Dq7rFmzpkdihmv8kRixyDcrXbcnWev2JPtkXQAAAABQkAVM2mTPnj266aabFBcXpyVLlqhUqVJ5XkaxYsVUv359SdL27dsdlrF97mo/EwAAAAAAwDUBkYTYuXOnbrzxRtWsWVMLFixQ8eLF7dP++OMPderUyeVlde/eXZK0dOnSbNOsVquWLVuWpRwKngI4uAcAAAAAwAUFPgnx119/6aabblKjRo00f/78bKNanDhxQj/++GOWzxYuXKhatWqpb9++2ZbXr18/lSlTRvPmzdPu3buzTPviiy908OBBtWnTRjfeeKPnNwZOkVgAAAAAgMKvQPcJ8eeff6p169Y6duyYEhMT1bJly2xlHA1JMmnSJO3atUuTJ0/WyJEjVaZMGfu0UqVK6csvv9Qtt9yizp07a8KECapdu7aWL1+up59+WtWqVVNCQoJXtwv5UxA71gQAAAAA5K5AJyGWLFmiY8eOSZI2b97s8nwPPPCAfvnlF3Xs2DFLAsKmTZs22rhxo1555RX17NlTycnJqlSpkh577DG9/PLLKlmypKc2oUDyxegKgcCI5hcAAAAA4EsFOgnx7LPP6tlnn83zfD169FCPHj1yLFO3bl199tlnbkaGwoa8DAAAAAB4X4HvEwIAAAAAABQOJCGCUEH80Z9XIwAAAACg8CMJAQAAAAAAfIIkBAAAAAAA8AmSEAAAAAAAwCdIQgShAjkSRB66hLAUyF4tAAAAAAC5IQmBoGXoCxMAAAAAfIokBCCpYI4ZAgAAAACFC0kIBKyUsxf8HQIAAAAAIA9IQiBgffH7Xn+HAAAAAADIA5IQCDgmL71Y5mGpAAAAAADvIgmBoFUgRwkBAAAAgEKMJAQCDkN0AgAAAEBgIgkRhGgBAAAAAADwB5IQKBDokQEAAAAACj+SEAhahswHAAAAAPgUSYggVFj6VPDsayWB852QPAEAAAAQqEhCAAAAAAAAnyAJgQIh5cwFf4cQMOhYFAAAAECgKuLpBRpj9NFHH2njxo2qWrWqHnvsMcXExHh6NShkZq3b5+8QAAAAAABe5nZLiLVr1yo0NFShoaF699137Z/36NFDjz32mN59910NHjxYTZs2VWpqqkeChWcE+g/phbUlgCnAnT2s+fe4v0MAAAAAUAi4nYT48ssvVbp0aSUkJOi+++6TJC1btkxfffWVihUrpldffVUvv/yyDhw4oMmTJ3ssYKCw2pV0yt8hOLV0+1F/hwAAAACgEHD7dYwff/xRY8aMsScgJOnDDz+UxWLR+PHj9cgjj0iSypYtq48++khDhgzJf7RAITZ+8U5Nvr+Rv8MAAAAAAK9xuyXEP//8o5tuusn+98WLF7VgwQKVKFFCDz74oP3zdu3aac+ePfmLEvCCLQdS/B1CFt9vOaQNe5P9HQYAAAAAeI3bSYiIiIgs77AvXrxYKSkp+s9//qPw8PAs5c6cOZO/KOFRhbVPhbxavydZm/adlFRwvpOTZ877OwQAAAAA8Bq3kxDVq1fXihUr7H9PnDhRFotFPXr0yFJu27ZtKl++vPsRApfxZP+NK/855rmFAQAAAABy5HafEPfff7+eeeYZbd68WXv37tXChQtVpUoVde7c2V7m5MmTeu2119S8eXOPBAsUdgV4gAwAAAAAyDe3W0L06dNHDRs21KRJkzR//nxFRUXZO6aUpJEjR6pKlSpas2aNunfv7rGAAW/g4T9nBXn4UAAAAACBw+2WEFFRUVqxYoVWrFihpKQktWjRQpUqVbJPb9eunapVqyZJ6tKlS74DBWwKSv8NAAAAAIC8cTsJIUkWi0WtWrVyOK1ly5Zq2bJlfhYPBB0aHAAAAAAozNx+HcNVx44dU40aNby9GgQhi2gSAQAAAACBxOtJiIyMDO3Zs8fbq0Ee8DpDwUVDCAAAAACFmctJiKeeekrR0dEaM2bMpRlDQhQaGprrv4oVK3oteMBTSMwAAAAAgPe5nISYM2eOTp06pQULFtg/M8a49A+A51ClAAAAAAQqlzumXLx4sRYuXKi7775b0qVOKQ8dOqS4uLgc5zt8+HCWUTMAOEfSDgAAAEBh5nIS4qqrrtJVV11l/7tKlSoKDQ3NfQVFiqhKlSruRQevoEPHwMarIwAAAAACldtDdO7evdulcrGxsS6XBQAAAAAAhZdXRsdITU3VunXrdOTIEW8sHgAAAAAABCC3kxBHjhxR79691bt3b/3000/2z7/44gtVrlxZzZo1U6VKlTRw4ECPBArPoTk/AAAAAMAf3E5CzJ49WzNmzNCBAwcUFRUlSdq3b58eeeQRnTp1SjVr1lSVKlX09ttv67vvvvNYwAAAAAAAIDC5nYT45ptv9Pjjj+vHH39U8+bNJUlTpkzR2bNn1bNnT+3YsUP//vuv7rnnHk2aNMljAQOFWUEdG4NBOwAAAAB4gttJiE2bNumxxx7L8tlXX32lkJAQvfrqq/bPnnnmGW3dutX9CAEf4A0VAAAAAPA+t5MQp0+fVmxsrP3vv//+Wzt27ND111+v+Ph4++cVK1akg0oAAAAAAOB+EqJy5cr6559/7H/PmDFDFotFd999d5ZyR44cUXR0tPsRAk54ooNNU8DeMyhg4QAAAACAR7mdhLjhhhs0ZMgQbdy4UXPnztXEiRMVHh6ue++9N0u5zz77TPXr1893oAAAAAAAILAVcXfGIUOGqFGjRrruuuskXfpFeeDAgSpTpowkadmyZZo+fbo+++wzvfnmm56JFvASGiAAAAAAgPe5nYS44oortHLlSo0fP17Hjh1T27Zt9fTTT9unr127Vvv379dNN92U7RUN+JcnXmOAt5AOAQAAAFB4uZ2EkKRrrrlGM2bMcDht8ODBGjx4cH4WDwAAAAAAChG3+4Rw1blz5/Txxx97ezUAAAAAAKCA83oSIiUlRQ8//LC3VwPkC2+oAAAAAID35et1DEnasGGDvv/+ex04cEDnz5/PNv3s2bP5XQU8jAfu/wnEITEDMWYAAAAAkPKZhOjbt6/ee+89GWNksVhkLns6sn1moSdEwCUkGAAAAAAUZm4nIT7++GO99957euSRR9SsWTP17dtXr7zyiuLi4iRJBw4c0OzZs7V9+3aNGzfOYwEDnkxqBWJ+LBBjBgAAAAApH0mIqVOnasCAARo7dqwk6dlnn1W3bt1Uo0YNe5khQ4borrvu0oEDB/IfKTzGwgsZyCMaaAAAAADwBLc7ptyyZYt69OiRYxmLxaLBgwdrzpw57q4GyOby134Kk8K7ZQAAAACQjyTE+fPnVbZsWfvf4eHhOnbsWLZyMTEx2rNnj7urAYJKn083+DsEAAAAAPAat5MQVapU0e7du+1/ly9fXkuWLMlW7rvvvlNoaKi7qwG8qhA3qgAAAACAAsftPiGuvfZavfbaa/ruu+8UHh6um266SaNGjVJYWJjat28vSfrhhx80atQoNWnSxGMBI//o2BAAAAAA4A9ut4S46667tGTJEjVu3FiS1L9/f0nSCy+8oMaNG6tx48Z6+eWXde7cOQ0ZMsQz0QJesvPoKX+HAAAAAACFnttJiP/85z9avXq1EhISJEm1a9fWggULdOWVV8oYI2OMqlatqs8//1wdO3b0WMCApyUeO63fd5/wdxgAAAAAUOi5/TpGeHi4mjVrluWzm266SX/++adOnDghq9Wq2NjYfAcIXM7i4fdJNu076dHlAQAAAAAcczsJkZPSpUt7Y7EAAAAAACCAeSQJsWHDBv3888/av3+/JKly5cpq1aqVGjVq5InFA14TiINjMKIHAAAAgECVryTErl279PDDD2vlypUOp7ds2VLTp09XzZo187MaAAAAAABQCLidhNi3b59uuOEGHTlyRKGhoapRo4bKli0rY4ySkpK0e/du/frrr7rxxhu1Zs0axcfHezJu5ANDdAIAAAAA/MHt0TFeeuklnThxQqNGjdLRo0f1999/69dff9XKlSu1Y8cOHT16VK+99pqOHz+ul19+2ZMxAx5DPgYAAAAAfMftlhALFy7U66+/rgEDBjicXqpUKQ0dOlTh4eF688033Q4Q8DZahuSOfigAAAAAeILbLSHS0tJ055135lquW7duSk1NdXc1AAAAAACgkHA7CVG9enWdOXMm13Jnz55VpUqV3F0NvCDQf/gP9PgBAAAAIFi5nYTo3bu3pkyZkmu5Dz74QHfddZe7qwGy8eSbAbxlAAAAAAC+43YSYsCAATp9+rS6d++un3/+WUePHrVPO3LkiJYvX667775bW7Zs0fDhwz0S7KpVq1SnTh1ZLBYlJiZ6ZJkIXBYPdOZw5nyGZqxKzH8wAAAAAIBcudQxZWhoaI7T58yZk+P0EiVK6OLFi65HdZmzZ8/qpZde0jvvvKOMjAy3lyNJiYmJql69eo5lxo8fr2effTZf60FgeP/nXf4OAQAAAACChktJCOPHrvF37dqlLl26KD09XQsWLFCHDh08stw6deo4nVa6dGmPrKOg8kQLAgAAAAAA8sqlJITFYtGhQ4cUFxeX5xUcPnw4Xx1T/vXXX2rbtq3Gjh2r4sWLu72cy23fvt1jywIAAAAAALlzKQkRHR2tkBD3uo8IDQ1VdHS0W/NK0i233KL//Oc/bs8PAAAAAAAKBpeSEMnJyW6voGzZsvmaP7f+KJB3gf4yRqDHDwAAAADByu3RMQLd9OnT1apVK8XHxysuLk5NmjTRsGHDlJSU5O/QgBwZBhYFAAAAEKBcaglRGI0ZM0Yvvviirr32Wp05c0bffPONXn/9dU2ZMkXff/+9GjdunOP86enpSk9Pt/+dmpoqSbJarbJarV6NPT+sVqtfOxr1DPN/21Fwv2dv8sXuu/wYNv/3nRcGtjpQWLYHyCvqAIIddQDBjjpQuATifgy6JER0dLQGDRqkF198MUtfFc2aNVNcXJwGDBig22+/XTt27FDRokWdLmf06NEaOXJkts+TkpJ07tw5r8TuCVarVadOn/Z3GPly8eJFHT16VKfSTvk7FL+4cOG819dx9OjRLH+fPXMm22eBymq1KiUlRcYYt/u6AQIZdQDBjjqAYEcdKFzS0tL8HUKeBV0SonTp0hozZozDaX369NHo0aN14MABffrpp3r00UedLmfIkCHq37+//e/U1FTFx8erbNmy+eqI09usVqtK7En1dxj5UqRIEcXFxal4icBOprgrPDzc6+u4fCScyKgot0bHKYisVqssFovKli3LhRdBiTqAYEcdQLCjDhQukZGR/g4hz4IuCZGTyMhI1a9fXz///LNWrlyZYxIiIiJCERER2T4PCQkJgMoc6F07WhQSEiKLpaB/z4Hr8mPYYrEEwHHtOtv2FKZtAvKCOoBgRx1AsKMOFB6BuA8DL2IvK1++vCTpxIkTfo4EAAAAAIDCJeiSEMuWLdPevXudTj98+LAkqWTJkj6KCAAAAACA4OB2EuLjjz/OMjrE5Y4ePary5cvrvvvuK1DDXvbu3VsfffSRw2np6enaunWrJKlFixa+DMunLIH+Nsb/KSSbAQAAAABBw+0kxMMPP6yUlBSn04sVK6Z77rlHK1as0LPPPuvuatyycOFC1apVS3379nU4fdasWQ4TKO+//76SkpIUGxur+++/39thAgAAAAAQVNxOQhhjcpxerFgxvfPOO/r666+1dOlSd1cj6dKwl4cPH7a/KuHsM5tJkyZp165dmjx5so4fP55lWpEiRbR9+3a1bt1a3333nXbt2qW//vpLI0eO1MCBA1WyZEnNmTOnQI9wAQAAAABAIMrX6BgWF9r1h4WF6eTJk/lZjZo0aaI9e/Zk+axp06b2/1+eEHnggQf0yy+/qGPHjipTpkyWaWvWrNHnn3+uH374QY8//riSkpIUFhamGjVq6Omnn9Zzzz2nSpUq5SteAAAAAACQnctJiHnz5mnevHlZPnv66acVFRXldJ7Tp0/r119/1RVXXOF+hJISExPzVL5Hjx7q0aOHw2llypRR3759nb6qEQzoSwEAAAAA4A8uJyE2bdqkGTNmZPls1qxZuc4XHh6uyZMn5zkwAAAAAABQuLichLjjjjtUrVo1SZdef3jkkUc0fvx4xcTEOCwfEhKikiVLqnnz5ipbtqxHggUAAAAAAIHL5STENddco2uuucb+d+/evdWjRw/FxcV5JTB4jyt9eQAAAAAA4Gluj46xe/duWjjAL8ihAAAAAEBgcjsJUbVqVZd+UU9OTlabNm3cXQ2AAiCXEXkBAAAAwCVuJyFcdf78ef3888/eXg0QNEgIAAAAAAhULvcJMWbMGH366ad6/vnn1bNnT9WoUcOl+TIyMtwODgAAAAAAFB4uJyHGjh2r5ORkvf/+++rZs6cSExNdXgkdIQKeQ3UCAAAAEKhcTkLMmjVLc+fO1SOPPGL/bO3atYqNjc1xvqNHj6p58+buRwg4wcM4AAAAAAQWl5MQ7dq1U7t27bJ8Fh8fn+sQnZGRkTK8xA54DNUJAAAAQKByOQlxOavV6lK5cuXKuVwWvkELAgAAAACAP3h9dIzU1FT17t3b26sBAAAAAAAFnNeTEGfPntXMmTO9vRoAAAAAAFDAuf06hiRt2LBB77//vjZt2qTk5GSHw3EyRGfBw9sYAAAAAAB/cDsJsWDBAt1+++26ePFirmUZohMAAAAAALidhBg2bJiio6M1fPhwNWvWTKVLl1ZYWFi2cgzRCQAAAAAApHwkIf766y998sknuvPOO3MsV6xYMVWpUsXd1QAAAAAAgELC7Y4pixUrpsaNG+daLjY2Vrt373Z3NfAC3o4BAAAAAPiD20mIDh06aOvWrbmWO3funD7++GN3VwMAAAAAAAoJt5MQY8eO1ejRo7VmzZocy6WkpOjhhx92dzVANrTkAAAAAIDA5HafEC+//LJiYmJ0/fXXq06dOqpVq5bKlCmTbSSMs2fP5jtIAAAAAAAQ+NxOQsyYMUMWi0XGGG3fvl3bt293WpYhOgsWi9gfAAAAAADfczsJIUnjx49XTExMjmVOnjyp/v3752c1QBZ/HkjVT38fDdpUijH+jgAAAAAA3JOvJESPHj0UFxeXY5kjR47oueeey89qgGwenr5WI26r5+8wAAAAAAB54HbHlL/88ovKlCmTa7myZcsyRCfgQbzdBAAAACBQud0SomXLli6XzcjIcHc1AAAAAACgkHC7JYSrkpKSVLt2bW+vBgAAAAAAFHBut4RYsWKFS+WOHz/u7ioAOEDHlAAAAAACldtJiJtvvpmhNwMUuw0AAAAA4A/5Gh2jefPmCg8Pz/KZMUZJSUnat2+fTp06pWbNmikyMjJfQQIAAAAAgMCXryTEN99843SIzgsXLujLL7/UzJkzNXv27PysBoCfGd4BAQAAAOABbndMOXz4cBUvXtzp9LCwMN1///3q3bu3Bg8e7O5qAAAAAABAIZGvJETRokVzLdeiRQvNmzfP3dXAC+gSAgAAAADgD14fonPnzp1KTk729moAAAAAAEABl68+IZwxxig5OVnr1q3T008/rVq1anljNQAAAAAAIIC4nYQIDQ11qZwxRtOnT3d3NYBTDBELAAAAAIHF7SRETr3lh4SEKCYmRtdee6369Omjbt26ubsaeAHP7sgrEj4AAAAAPCFfr2McPnzY6RCdAAoPhugEAAAA4Alud0zZuHFjhYWFeTIWAAAAAABQiLndEmLt2rWejAM+RdP6QGZEqwQAAAAAgcnrQ3QCAAAAAABIJCGAgGOhJQsAAACAAEUSAgAAAAAA+ARJiCDEaIsAAAAAAH8gCQEEGH90TElXmAAAAAA8gSQEAAAAAADwCZIQAAAAAADAJ7yehDh27Jhq1Kjh7dUgD+gSAgAAAADgD0U8sZDTp0/r5MmTysjIyDbt6NGj2rNnjydWA2QRrB1sGjpoAAAAABCg8pWEmDBhgiZNmqRdu3Z5Kh74QJA+uyMfOGYAAAAAeILbSYhx48Zp0KBBkqSoqCiVKlVKYWFh2cplZGTowIED7kcIIAt/tACh8QUAAAAAT3A7CfHBBx+oYcOGmjFjhho0aOC03OHDh1WxYkV3VwMvCNbXGAAAAAAA/uV2EmLfvn1aunRpjgkISSpatKh69erl7mrgFWQhAAAAAAC+5/boGOXKlVPlypVzLRcdHa3p06e7uxoAAAAAAFBIuJ2EuO+++7Rw4cJcy6Wmpqp3797urgZewOsYAAAAAAB/cDsJMWLECP34448aM2aMjh496rTc2bNnNXPmTHdXAwAAAAAACgm3+4S48sorZYzRvHnzNHToUBUrVkxlypSR5bKf2TMyMvIdJDyLhhAAAAAAAH9wOwmRmJiY5e9Tp07p1KlTDstenpgAEFgMY3QCAAAA8AC3kxAWi0W///67YmNjcyx39OhRNW/e3N3VwAvICQEAAAAA/MHtJERISIiqVKmismXL5liuWLFiqlKlirurAQAAAAAAhYTbSYgLFy64VC42Nla7d+92dzXwAhpCAAAAAAD8we3RMVyVnJysNm3aeHs1AAAAAACggPN6EuL8+fP6+eefvb0a5EUh6RSicGxF3vmjk8hCcsgAAAAA8DOXX8cYM2aMPv30Uz3//PPq2bOnatSo4dJ8DNEJBD5GxwAAAADgCS4nIcaOHavk5GS9//776tmzZ7YhOnPCEJ0FC3sDAAAAAOAPLichZs2apblz5+qRRx6xf7Z27VqG6AR8jEYJAAAAAAKVy0mIdu3aqV27dlk+i4+PV1xcXI7zRUZGytCWu0ChJQQAAAAAwB/cHqLTarW6VK5cuXIulwWQO5JIAAAAAAKV10fHQMFDFx0AAAAAAH8gCQEAAAAAAHwioJIQq1atUp06dWSxWPI0OgeA/DF0hwkAAADAAwIiCXH27FkNGDBAN910k3bs2OGRZf7999964IEHVKFCBUVGRqpmzZoaOHCgUlJSPLJ8AAAAAACQVYFPQuzatUvXXnutvv76ay1YsMAjy1y+fLkaNmyodevWacaMGdq2bZteeuklvf/++2rUqJEOHTrkkfUUVBY6hQAAAAAA+IHbo2P4yl9//aW2bdtq7NixKl68eL6Xd/LkSXXv3l3GGP3www+qUaOGJKl69eqKiIjQ/fffr549e2rx4sX5XhcAAAAAAPifAt8S4pZbbtG7777rkQSEJE2cOFHHjh3T7bffbk9A2PTo0UMVK1bUkiVLtHLlSo+sryCiHQQAAAAAwB/cTkKsWLFCFy9edDr9+PHjat68uYYOHaozZ864uxqFhoa6Pa8jX331lSSpbdu22aaFhISoTZs2kqRZs2Z5dL3wAl4r8RkLqSsAAAAAHuB2EqJ169Y6ceKE0+lhYWEqV66cJk6cqIEDB7q7Go86ffq0/vrrL0lS3bp1HZaxfb527VqfxeVrPLsjrxgdAwAAAIAnuN0nhDE5P5RER0dr3rx5WrJkiR566CFNnjzZ3VV5zO7du2W1WiVJ5cuXd1imQoUKki51iJmT9PR0paen2/9OTU2VJFmtVvs6CiKr1ZrrvgsUpgB/z4Hu8mPYmOyfBSpbHSgs2wPkFXUAwY46gGBHHShcAnE/er1jykqVKikpKcnbq3GJLVEgSVFRUQ7LFC1aVJJyHapz9OjRGjlyZLbPk5KSdO7cuXxE6V1Wq1VpaWn+DsMj0tJO+TsEvzh//rzX13H06NEsf589ezbbZ4HKarUqJSVFxhiFhBT4bnEAj6MOINhRBxDsqAOFSyA+27mchFixYoWWL1+e5bNx48bl2GHk6dOntXDhQlWtWtXtAAuqIUOGqH///va/U1NTFR8fr7Jlyyo6OtqPkeXMarUq+kTBTZLkRYkSnumsNNCEhYV5fR1xcXFZ/o6Kisr2WaCyWq2yWCwqW7YsF14EJeoAgh11AMGOOlC4REZG+juEPHM5CfHTTz9p5MiRslgs9ub848aNc1o+c7n3338/n2F6RubkwNmzZx2WsXWiGRMTk+OyIiIiFBERke3zkJCQAl+ZLSGFo1MISwH/nr3GB516XH4MWyzZPwtkFoslIOoq4C3UAQQ76gCCHXWg8AjEfehyEuLmm2+2/98Yo1dffVX9+/d32hIiJCREJUuWVKtWrXT11VfnO1BPqF69uj05cvjwYdWuXTtbmUOHDkmSatas6evwAAAAAAAo1FxOQrRq1UqtWrWy//3KK69o4MCBAdVEu1ixYqpfv77+/PNPbd++XTfeeGO2Mtu3b5ckNWnSxNfh+QzDLQa4wtGvKAAAAIAg5HbbjZ9++kmlS5f2ZCw+0b17d0nS0qVLs02zWq1atmxZlnIALo2OAQAAAAD55XYSolWrVipSJPeGFKdPn9Yrr7zi7mrcsnDhQtWqVUt9+/bNNq1fv34qU6aM5s2bp927d2eZ9sUXX+jgwYNq06aNw1YShQXtIAIcOxAAAABAgPJ6LxanTp1yOJRlXiQlJenw4cM6fPhwjp/ZTJo0Sbt27dLkyZN1/PjxLNNKlSqlL7/8UpLUuXNnLVq0SLt379b06dP1+OOPq1q1akpISMhXvAAAAAAAIDuX+4Rw5ODBg5oxY4Y2bdqk5ORkZWRkZCtz/vz5/KxC0qX+Gfbs2ZPls6ZNm9r/by5rK/7AAw/ol19+UceOHVWmTJlsy2vTpo02btyoV155RT179lRycrIqVaqkxx57TC+//LJKliyZ75gLMh8MroBChrcxAAAAAHiC20mI33//Xe3bt9epU6eyJQEuZ8nnU29iYmKeyvfo0UM9evTIsUzdunX12Wef5SMqAAAAAACQF24nIQYPHqyLFy/q2WefVbNmzVS6dGmFhYVlK3f8+HE6eYRX0KDDd/iuAQAAAHhCvlpCTJw4Ub17986x3JEjR3JtKQGgYKMGAwAAAPAEtzumDA8PV+vWrXMtV65cOVmtVndXAy+gTwgAAAAAgD+4nYS48cYbtW/fvlzLXbhwQStWrHB3NfACC43rAQAAAAB+4HYS4o033tCwYcN04MCBHMudOHHCpRYTAAAAAACgcHO7T4jZs2erUqVKqlGjhtq2batatWqpTJky2UbCOHXqVL6DhGfxOgYAAAAAwB/cTkKMGDFCFotFxhgtXLjQYRnb9PwO0QkAAAAAAAKf20kISerfv7+KFy+eY5m0tDSNHz8+P6uBh5ESQl4xwA0AAAAAT8hXEmLgwIGKi4vLsczhw4f19ttv52c1APyOLAQAAACA/HO7Y8qEhASVLFky13JlypTRTz/95O5qAFyOfAAAAACAAOV2S4j777/fpXJhYWG68cYb3V0NAAAAAAAoJNxuCeGqI0eOKCwszNurAYKGoSkEAAAAgADldkuIvXv3ulTu6NGj7q4CAAAAAAAUIm4nIapVq8bQm4AfWPwyvgl1HQAAAED+5Wt0jEqVKik0NDTLZ8YYHTt2TGfOnJEkValShWRFAVNYdkdh2Q4AAAAACBb5SkKsW7fO6RCdhw8f1rRp07Rp0yZ99tln+VkNAL+jHwoAAAAA+ed2x5S9evVSVFSU0+nly5fXiy++qLZt22r48OHurgZAAWDIQQAAAADwALeTENOnT1eJEiVyLde5c2d9+umn7q4GXuCfPgUAAAAAAMHO60N0HjhwQEeOHPH2agAAAAAAQAHn1STEjh07NGDAAMXHx3tzNQAAAAAAIAC43TFljRo1nE7LyMhQcnKyTp8+LUkaM2aMu6uBFzCqRGAzdBIJAAAAIEC5nYRITEzMtUz16tXVp08fDRgwwN3VACgA6JgSAAAAgCfka4jOtWvXKjY2NtvnoaGhiomJcanjSgB5Q8eiAAAAAAKV20mIMmXKqGrVqg6TEAAKF14BAQAAAOAJbichkpKSPBkHfIjf0QEAAAAA/pCv1zEy27Jli/bs2SNJqlq1qho0aOCpRQMAAAAAgEIg30mI999/X6+99poOHTqU5fOKFSvqxRdf1BNPPJHfVQDIxB+vRtAPBQAAAABPCMnPzE888YSeeuopHTx4UMaYLP8OHDigp556iiREQVRInid5MAYAAACAwOJ2EmLOnDmaMmWKbrjhBs2ePVt79+5Venq60tPTtXfvXs2ePVstW7bU1KlT9c0333gyZiCo+WO4TDqmBAAAAOAJbr+O8d5776l79+764osvZLFk/UW6cuXKqly5srp27ap77rlH7777rrp27ZrvYAEAAAAAQOByOwmxYcMGLVq0KFsCIjOLxaJBgwapY8eO7q4GXsBLDIEthyoHAAAAAAWa269jnDlzRmXLls21XFxcnM6cOePuagAAAAAAQCHhdhKiUqVKWr16da7lfv31V1WqVMnd1QAoAPzRDwUAAACAwsftJESnTp303HPP6ffff3daZtWqVRowYIC6dOni7mrgBTm9QgMAAAAAgLe43SfEkCFD9Nlnn6lFixZq2rSpmjZtqri4OEnSkSNHtGbNGq1bt06lSpXS4MGDPRYwAN+jIQQAAAAAT3A7CVGpUiV9//336tatm9asWZOtRYQxRuXLl9ecOXN4HQMAAAAAALifhJCkFi1aaPv27frwww+1ePFi7dmzR5JUtWpVdejQQY888oiio6M9EigAAAAAAAhs+UpCSFJ0dLT69++v/v37eyIe+AA9QgQ2OokEAAAAEKjc7pjSVefOndPHH3/s7dUA8CISVwAAAAA8wetJiJSUFD388MPeXg0QNBjcBAAAAECgytfrGGfPntW8efO0YcMGJScnKyMjw2EZwBt4GPcd3gABAAAA4AluJyF27Nih9u3ba//+/TK5vKRu4WkRCGj0QwEAAADAE9xOQjzzzDM6dOiQevTooaZNmyomJsZhsuHkyZN0WgkAAAAAANxPQvz66696++231bdv3xzLHTlyRM8995y7q4EX0DAFAAAAAOAPbndMGRkZqVtuuSXXcmXLltXu3bvdXQ2Ay/BqBAAAAIBA5XYSokuXLi4lF86fP6+ff/7Z3dUAuAw5CAAAAACByu0kxLhx4zR58mRt3Lgxx3IM0QkAAAAAAKR89AlRtmxZffDBB2rXrp0uXryomjVrqnTp0tk6p2SIzoKHLiECmz/2n6H9BQAAAAAPcDsJkZiYqDZt2igxMVGStHXrVqdlGaITAAAAAAC4nYR4/vnntX//ft1///1q0qSJoqOjGaITKKxoCAEAAADAA9xOQixfvlz//e9/1adPnxzLMURnwUPLFAAAAACAP7jdMaXValXnzp1zLccQnUAhQN4KAAAAgAe4nYRo3749Q3QCAAAAAACXuZ2EeOutt/T6669r06ZNOZZjiM6Chx+1AQAAAAD+4HafEMOGDVNUVJQaN26sK6+8kiE64XPBmkzxSx+RdEwJAAAAwAPcTkLMmDFDFotFxhht3bqVIToBAAAAAECO3E5CSNL48eMVExOTYxmG6CyAyAkFNHYfAAAAgECVryREjx49FBcXl2OZffv2kYQAAhxvYwAAAADwBLc7pvzll19UpkyZXMuFhoa6uwoAAAAAAFCIuN0SomXLlrmW2b9/v9599113VwEAAAAAAAqRfL2O4ciFCxc0d+5cTZs2TUuXLpXVavX0KpBP9CmAvDKGFzIAAAAA5J/HkhB//vmnpk2bpk8++UQnTpywP7QULVqUYToBDyIdAAAAACBQ5SsJkZaWps8++0zTpk3T+vXrJV36xTQsLEwdO3bUgw8+qCZNmqhGjRoeCRYAAAAAAAQut5IQP//8s6ZNm6Y5c+bo7Nmz9lYPDRo00Pbt27V27VpdffXVkqTU1FT16tXLcxEj33gdAwAAAADgDy4nIQ4dOqQZM2boo48+0r///ivpUquH4sWL65577tGjjz6qpk2bqkSJEipevLh9vujoaE2fPt3zkQPwGYuF1BUAAACA/HM5CVGlShVZrVZ7q4emTZvq0UcfVY8ePVSsWDGvBQjA/+iYEgAAAIAnuJyEMMbIGKOyZcvqs88+U9u2bb0ZF7yIX7UBAAAAAP4Q4mrB/fv367XXXlN0dLS6dOmibt26aeHChfxCCr8hl+I71HIAAAAAnuByEqJ8+fIaOnSodu7cqYULF6po0aK68847Va1aNY0YMUL79u3zZpwAAAAAACDAuZyEyKx169ZKSEjQoUOHNGjQIH377beqXr26OnXqpAsXLmRpHXH69Gm98sorHgsY+VdYGhBY+XkeAAAAAAKKW0kIm5iYGD311FNav369fv/9d9WoUUNRUVG6/vrr9cwzz2jjxo06deqURo4c6al4Abs3f/zb3yEAAAAAAPIgX0mIzBo1aqR3331Xhw4d0rhx47R582Zdd911uuGGGzy1CiCLE6fP+zsEv6AfFgAAAACBymNJCJvIyEg9+OCDWr58ubZv367bbrvNI8tduHCh2rdvr9KlS6tYsWJq1KiRJk2aJKvVmudlWSyWHP89++yzHokZAAAAAAD8j8eTEJnVrl1bgwYNyvcvt2PGjFHnzp0VGRmpxYsXa+PGjWrfvr369eunO+64QxcvXszzMmvUqKE6deo4/FeuXLl8xVvgFZZOIYKUP4ZYpfEFAAAAAE8o4u0VxMXFaffu3W7P/8svv+iFF15QvXr1NGfOHIWFhUm6lJhITk7W1KlTNWbMGL344ot5Wu7SpUtVrVo1t+MCggk5CAAAAACe4NWWEJIUEhKiqlWruj3/iBEjJEn9+vWzJyBsBgwYIEkaO3aszp496/Y6AAAAAACA93k9CZEfSUlJWr58uSSpbdu22abXqVNHlStXVmpqqhYsWODj6AIXb2MAAAAAAPyhQCch1q1bJ6vVqrCwMNWsWdNhmbp160qS1q5dm6dlz5s3Tx07dlS1atUUGxura665Rv3799eePXvyHTdQ2JC4AgAAAOAJXu8TIj927dolSSpbtqxCQhznSypUqJClrKvGjh2rF198US1btlRGRoZ+/PFHjRo1SlOnTtWXX36pzp075zh/enq60tPT7X+npqZKkqxWq1sjdviK1WpliMdA54P9d/kxbIwp0Md1XtjqQGHZHiCvqAMIdtQBBDvqQOESiPuxQCchbA/2UVFRTssULVpUkpSSkuLycp977jkNGDBAlSpVsn/WqFEj1alTR926ddPdd9+t7du3Z5l+udGjR2vkyJHZPk9KStK5c+dcjsXXrFarUvPwXaHgOX/hgtfXcfTo0Sx/p6efy/ZZoLJarUpJSZExxmlyEyjMqAMIdtQBBDvqQOGSlpbm7xDyrEAnIbzl7bffdvj5nXfeqQYNGmjLli169913NWrUKKfLGDJkiPr372//OzU1VfHx8Spbtqyio6M9HrOnWK1WnbsYeNky/E+RImG5F8qnuLi4LH+HR0Rm+yxQWa1WWSyWHFtYAYUZdQDBjjqAYEcdKFwiIyP9HUKeFegkhO1hPqeRL86cOSNJiomJ8cg6GzVqpC1btmjlypU5louIiFBERES2z0NCQgp8ZbZYeMM/oPlg911+DFsslgJ/XOeFbXsK0zYBeUEdQLCjDiDYUQcKj0DchwU6YltnlElJSU7fdTl06FCWsvlVvnx5SdKJEyc8sryCyEI3gwHNH3uPfkQAAAAAeEKBTkI0btxYISEhunDhgtOOJ7dv3y5JatKkiUvLXL16tf7++2+n0w8fPixJKlmyZN6CBQAAAAAAOSrQSYi4uDi1atVKkrR06dJs0//++2/t379fJUqUUKdOnVxa5pAhQzR69Gin0zdu3ChJatGihRsRAwAAAAAAZwp0EkKShg8fLkmaNGmSLl68mGXaW2+9JUkaOHCgfZQMSdqwYYPq1aun7t27Z5tHkr7//nsdO3Ys2+fz5s3TH3/8oYiICD3xxBOe3AwAAAAAAIJegU9CtGrVSqNGjdJff/2lrl27asOGDdqxY4deeOEFTZ06VV26dNGQIUOyzPPRRx9p27Ztmj17tjZv3pxlWpEiRXTs2DG1atVKX375pXbs2KEdO3bonXfe0YMPPqjIyEglJCSoevXqvtxM36JLCAAAAACAHxTo0TFshg4dqoYNG+qtt95SmzZtdOHCBV1xxRV655139NRTTyk0NDRL+e7du2vWrFmqV6+e6tevn2Xa3Llz9dVXX+nbb7/VoEGDdOjQIYWEhCg+Pl7333+/nn32WdWpU8eXmwcUeHRLCQAAAMATAiIJIUmdO3dW586dXSrbqlUrJSUlOZxWvHhxPfzww3r44Yc9GR7gMyQEAAAAAASqAv86BjyPtzEC29aDqf4OAQAAAADcQhICCDDpF60+XyeJKwAAAACeQBICQDY9pqzO8jevgAAAAADwBJIQQYhftZGb3/494e8QAAAAABRCJCEA5I6mEAAAAAA8gCQEAAAAAADwCZIQQcjC+xgAAAAAAD8gCQEAAAAAAHyCJAQAAAAAAPAJkhAAAAAAAMAnSEIEIQuDdCKPDMNjAAAAAPAAkhAAcmXIQQAAAADwAJIQAAAAAADAJ0hCBCPexgAAAAAA+AFJCAC5spC4AgAAAOABJCEAAAAAAIBPkIQIQvyoDQAAAADwB5IQAHLF6BgAAAAAPIEkBIBckYQAAAAA4AkkIYIQnQwCAAAAAPyBJAQAAAAAAPAJkhAAAAAAAMAnSEIAAAAAAACfIAkRhOgSAgAAAADgDyQhAOTKiOExAAAAAOQfSQgAAAAAAOATJCGCkIUxOgEAAAAAfkASAgAAAAAA+ARJCAAAAAAA4BMkIQAAAAAAgE+QhACQK8PgGAAAAAA8gCQEAAAAAADwCZIQAAAAAADAJ0hCAAAAAAAAnyAJAQAAAAAAfIIkBIBc0S8lAAAAAE8gCQEAAAAAAHyCJASAXDFEJwAAAABPIAkBAAAAAAB8giQEAAAAAADwCZIQAHJlsfg7AgAAAACFAUkIAAAAAADgEyQhAAAAAACAT5CEAJArRscAAAAA4AkkIQC4gCwEAAAAgPwjCQEAAAAAAHyCJAQAAAAAAPAJkhAAAAAAAMAnSEIAAAAAAACfIAkBAAAAAAB8giQEgFwxRCcAAAAATyAJAQAAAAAAfIIkBAAAAAAA8AmSEAAAAAAAwCdIQgAAAAAAAJ8gCQEAAAAAAHyCJAQAAAAAAPAJkhAAcsUInQAAAAA8gSQEAAAAAADwCZIQAAAAAADAJ0hCAMiVMbyQAQAAACD/SEIAAAAAAACfIAkBAAAAAAB8giQEgFzxMgYAAAAATyAJAQAAAAAAfIIkBIBcWfwdAAAAAIBCgSQEAAAAAADwCZIQAAAAAADAJ0hCAAAAAAAAnyAJASBXjI4BAAAAwBNIQgDIlSELAQAAAMADAiYJsXDhQrVv316lS5dWsWLF1KhRI02aNElWq9Wt5R06dEhPPPGEqlSpooiICFWpUkVPPPGEDh486OHIAQAAAACAFCBJiDFjxqhz586KjIzU4sWLtXHjRrVv3179+vXTHXfcoYsXL+ZpeVu3blWDBg00b948jR8/Xtu3b9f48eM1d+5cXX311dq6dauXtgQAAAAAgOBVxN8B5OaXX37RCy+8oHr16mnOnDkKCwuTdCkxkZycrKlTp2rMmDF68cUXXVrexYsX1a1bNx0/flwrV67U9ddfL0mqXr26ypcvrxtuuEF33XWX/vjjDxUpUuC/HgAAAAAAAkaBbwkxYsQISVK/fv3sCQibAQMGSJLGjh2rs2fPurS8zz//XNu3b1ezZs3sCQibli1bqnnz5tq2bZtmzZqV/+ABAAAAAIBdgU5CJCUlafny5ZKktm3bZptep04dVa5cWampqVqwYIFLy/zqq6+cLk+S2rVrJ0kkIQAAAAAA8LAC/b7BunXrZLVaFRYWppo1azosU7duXe3fv19r167VnXfemesy16xZY5/P2fIkae3atW5GDRQ+fx9O08I/D/k7DI+wWo1SUlMUc9SqkBCLv8MBfI46gGBHHUCwow64Li46Uo2qlPJ3GIVOgU5C7Nq1S5JUtmxZhYQ4brRRoUKFLGVzcurUKR09elSSVL58+RyXd/jwYZ05c0ZFixZ1WC49PV3p6en2v1NTUyVJVqvV7RE7fMFqtcow3iLy6HDqOT3xyQZ/hwEAAAD4TKf65fTu/Y38HUaOCvKzpzMFOglhe7CPiopyWsaWJEhJSXF5eTktM3PSISUlxWkSYvTo0Ro5cmS2z5OSknTu3LlcY/EXq9WqlJQUDWhVWW/9vN/f4djVio3SP8dc69dDkoqGhejMBe9VuKiwEJ314vLzo1rpSCWecH6MhVqkDA/nmRpUKCZLYUmUG+lixkUVCS0iFZZtAvKCOoBgRx1AsKMOuKx8MYv9R+yCKi0tzd8h5FmBTkIUZEOGDFH//v3tf6empio+Pl5ly5ZVdHS0HyPLmdVqlcVi0ZPty+qpjg38HQ7gc1arVUlJSTm2sAIKM+oAgh11AMGOOlC4REZG+juEPCvQSQjbw3xOI1+cOXNGkhQTE+Py8nJapm15uS0zIiJCERER2T4PCQkp8JXZYrEERJyAt1AHEOyoAwh21AEEO+pA4RGI+7BAR2zrjDIpKcnpuy6HDh3KUjYnxYsXV1xcnKRLfT7ktLzy5cs7fRUDAAAAAADkXYFOQjRu3FghISG6cOGC044nt2/fLklq0qSJS8ts2rRplvnyuzwAAAAAAOCaAp2EiIuLU6tWrSRJS5cuzTb977//1v79+1WiRAl16tTJpWV2797d6fIkacmSJVnKAQAAAAAAzyjQSQhJGj58uCRp0qRJunjxYpZpb731liRp4MCBWV6d2LBhg+rVq6fu3btnm+fee+/VFVdcoTVr1mjVqlVZpq1atUq//fab6tSpo3vvvdcbmwMAAAAAQNAq8EmIVq1aadSoUfrrr7/UtWtXbdiwQTt27NALL7ygqVOnqkuXLhoyZEiWeT766CNt27ZNs2fP1ubNm7NMCwsL09dff63SpUurW7dumjNnjhITEzVnzhx169ZNpUuX1uzZs1WkSIHusxMAAAAAgIBT4JMQkjR06FD98MMPOnv2rNq0aaOGDRvqxx9/1DvvvKP58+dnSxh0795dsbGxuummm1S/fv1sy7vqqqv0xx9/6LbbbtMzzzyjOnXq6JlnntFtt92mP/74Q1dddZWvNg0AAAAAgKBhMcYYfwdRGKSmpiomJkYpKSlZhgItaKxWq44ePaq4uLiAHM4FyC/qAIIddQDBjjqAYEcdKFwC5Tk0M446AAAAAADgEyQhAAAAAACAT5CEAAAAAAAAPkESAgAAAAAA+ARJCAAAAAAA4BMkIQAAAAAAgE+QhAAAAAAAAD5BEgIAAAAAAPgESQgAAAAAAOATJCEAAAAAAIBPFPF3AIWFMUaSlJqa6udIcma1WpWWlqbIyEiFhJCDQvChDiDYUQcQ7KgDCHbUgcLF9vxpex4NBCQhPCQtLU2SFB8f7+dIAAAAAADBJC0tTTExMf4OwyUWE0gpkwLMarXq4MGDKlGihCwWi7/DcSo1NVXx8fHat2+foqOj/R0O4HPUAQQ76gCCHXUAwY46ULgYY5SWlqaKFSsGTMsWWkJ4SEhIiCpXruzvMFwWHR3NSQdBjTqAYEcdQLCjDiDYUQcKj0BpAWETGKkSAAAAAAAQ8EhCAAAAAAAAnyAJEWQiIiI0fPhwRURE+DsUwC+oAwh21AEEO+oAgh11AP5Gx5QAAAAAAMAnaAkBAAAAAAB8giQEAAAAAADwCZIQAAAAAADAJ0hCAAAAAAAAnyAJAQAAAAAAfIIkBAAAAAAA8Iki/g4A3pOenq4FCxZo7dq12rVrl1JSUiRJMTExqlmzppo0aaJOnTopMjLSz5ECALzBGKN//vnH4TWgVq1aslgsfo4QAAAEG5IQhZDVatWYMWM0duxYpaamSrp0I5qZ7cazRIkSGjRokF544QWFhNAwBoUPD2EIRomJiRo9erS+/vprJScnOyxTsmRJdevWTUOGDFH16tV9HCHgO1wHEOyOHz+uDRs2OKwDjRo1UpkyZfwcIYKNxVz+dIqAZoxR165dNX/+fElS5cqVVbduXVWoUEFFixaVJJ05c0aHDh3S9u3btX//flksFt1yyy2aN28eF2IUGjyEIVh98cUX6t27t86dO5fl84iICEmXWsld/vm0adN03333+SxGwBe4DiDYrVq1SiNHjtRPP/2kjIwMh2VCQkLUunVrDR8+XC1btvRxhAhWJCEKmcmTJ6tfv3569NFHNWDAAF1xxRU5lt+xY4fGjRunDz/8UBMnTtRTTz3lo0gB7+EhDMHq999/V8uWLVWmTBn17t1b7dq1U926dVW+fHl7azer1arDhw9r+/btWrx4sT766COdOHFCK1euVNOmTf28BYBncB1AsHvzzTf1wgsv2FtDh4eHq1y5cll+lDxy5IjOnz8v6VIr6ddff12DBw/2W8wIHiQhCpnGjRurQ4cOGj16dJ7me+GFF7R48WKtX7/eS5EBvsFDGIJZ165ddeTIES1YsEAxMTEuzXPy5El17txZ5cqV09y5c70bIOADXAcQ7H788Ud17txZ9erV09NPP6127dqpRo0aDsv++++/Wrx4sSZMmKDt27frhx9+UMeOHX0cMYINSYhCpnjx4tq0aZNq1aqVp/l27typRo0aKS0tzUuRAb7BQxiCWVxcnL755ps8N6lduXKl7rjjDiUlJXkpMsB3uA4g2HXo0EERERH65ptvVKSIa10AXrx4UXfccYfOnz+vRYsWeTlCBDs6pixkIiIidOrUqTzPd+rUKYWFhXkhIsC3Vq5cqW+++cblG0/p0jvB48aN0x133OG9wAAfOHXqlCpWrJjn+SpWrKjTp097ISLA97gOINitX79eixcvdjkBIUlFihTRyJEj1b59ey9GBlzCcAiFTOPGjTVixAinnc84YrVaNXz4cF133XVejAzwDR7CEMxq1KihefPm5Xm+b775hk75UGhwHUCwS09PV3R0dJ7ni4mJ0YULF7wQEZAVSYhCpn///po/f74aNmyoqVOnateuXU7L7tq1S1OmTNG1116r77//XgMGDPBhpIB38BCGYHbvvfdq8ODBGjNmjEuv16WlpWnMmDEaMmQIHfKh0OA6gGBXt25dTZ8+Pc/zffTRR7l2ag94Aq9jFDKdOnXS6NGjNWTIED3xxBOSpLCwMJUtW1ZRUVGSpLNnzyopKcme6TTGaNSoUXRCg0LB9hCWnp6uPn36qESJEjmWT0tL07vvvqthw4Zp2LBhPooS8I6BAwdq3rx5Gjp0qEaOHKnGjRvbO+TLfA2wdci3fv16paenq1GjRho4cKCfowc8g+sAgt3DDz+sp59+WidOnNBzzz3n0mh548eP15QpUzRhwgQfRYlgRseUhdQvv/yiESNG6Oeff5bVanVYJiQkRK1atdLw4cN10003+ThCwDvOnz+vG264QevXr1dERESeHsJWrlyp8PBwP28BkD+nT5/WM888oxkzZshqtcpisTgsZ4xRSEiIevXqpXfeeUfFixf3caSAd3AdQLAzxuj222/Xd999J4vFoooVK+ZYBw4ePChjjLp06aJvv/3W6XUD8BSSEIXcsWPHtG7dOu3atUupqamSpOjoaNWsWVONGzdW2bJl/Rwh4Hk8hAHS3r179fXXX2vNmjUOrwFNmzZVt27dVLVqVT9HCnge1wEEu4yMDI0ePVpvvvmm/fW8y+uB7TGwePHiGjhwoIYOHarQ0FCfx4rgQxICQKHFQxgABDeuAwh2Z8+e1cKFC3OsA506dVLRokX9HCmCCUkIAAAAAADgE3RMCQBAIXfu3DmlpKRIujQEW2RkpJ8jAgAAwYokBICgwEMYgonVatWsWbM0a9YsrV27VocPH84yvXz58mrSpInuvvtu9ejRQyEhjNiNwo/rAIJZenq6du/enaUOVKtWjXoAv+B1DACFEg9hCFbbt2/XXXfdpW3btim3S7zFYlHdunU1e/ZsXXnllT6KEPANrgMIdmlpaZo0aZJmzZqlv/76K9uIeSEhIapfv77uvvtu9e3bV9HR0X6KFMGGJASAQoeHMASrQ4cO6eqrr9bx48fVvHlztWvXTnXr1lWFChXsnY6dOXNGhw4d0vbt27VkyRL99ttvio2N1ebNm1WhQgU/bwHgGVwHEOxWrFih7t2769ixYy7VgdjYWH355Zdq1aqVjyJEMCMJAaBQ4SEMwezJJ5/U3Llz9fXXX+v66693aZ5Vq1bprrvu0u2336733nvPyxEC3sd1AMFux44datiwoaxWq7p27ZprHVi8eLHmzp2rkJAQbdiwQXXq1PHzFqCwIwkBoFDhIQzBrGrVqvrvf/+rrl275mm+OXPm6LnnntOePXu8FBngO1wHEOwefPBBrVu3Tj/88IOqV6/u0jz//vuvbrnlFl133XVKSEjwcoQIdiQhABQqPIQhmEVGRurvv/9W1apV8zTfnj17VLduXZ09e9ZLkQG+w3UAwa5ixYqaOXOm2rdvn6f5Fi1apIceekgHDx70UmTAJfTAA6BQOXLkiBo1apTn+Ro3bqyjR496ISLAd8qVK6eNGzfmeb4NGzYoLi7OCxEBvsd1AMEuOTlZV1xxRZ7nu+KKK5ScnOyFiICsSEIAKFR4CEMw69y5s5566imtWbPG5Xl+++039e3bV507d/ZiZIDv/P/27j0qqnL9A/h3QC4DAiGSw+VEQBGKNxAv6UlRC8M0r6SWCkSa4vGYHc3KpdJJzEwi62TqEtECMoXsYpiJqAF6AEU0MRCRi5cZE7kLCjHv7w8P83McUDCYqZnvZy3W0vey32fv2eP2fdj73bwOkKFzdnbGkSNH2t3v8OHDcHZ27oSIiNR10XUAREQdqXkS5uDggMGDB7epT/MkbPz48Z0cHVHnCg8PR0JCAoYOHYrBgwdj9OjR8PT0hEwmg1QqBQDU19dDoVAgLy8PBw8eREZGBrp164ZVq1bpOHqijsHrABm6SZMmYeHChTAzM8O0adPa1Oerr77CokWL8Oqrr3ZydERcE4KI9IxCoUDv3r1RUVHR7knY6dOnuSo6/eWdPXsWU6ZMQX5+PiQSyT3bCiHg4eGBxMREeHl5aSlCos7F6wAZuurqanh7e6O4uBiOjo7w8/O753fg8OHDuHLlClxcXJCTkwNra2sd7wHpOyYhiEjvcBJGhq6pqQnx8fFISEhARkaGxnPuDz/8MAYNGoTAwEDMmDEDXbrwxkjSL7wOkKFTKBSYNWsWDh48CACtfg+ap4IjR45EbGwsk3CkFUxCEJFe4iSM6P/duHED1dXVAABra2tYWlrqOCKizsfrABGQlpaG3bt3IyMjA4WFhWrXAnd3d9V34KmnntJxpGRImIQgIoPASRgRkWHjdYCI6M+BSQgiIiIiIiIi0gred0ZERKSHLl26hISEBGRlZaGwsBBVVVUAABsbG7i7u2PgwIGYMmUK/va3v+k4UiIiIjIkvBOCiPQWJ2FkiOrq6rB48WJs27YNSqUSrV3mJRIJjIyMEBISgqioKN6aTnqJ1wEydMeOHcNXX311z+9AYGAghg0bpuNIyZAwCUFEeoeTMDJUDQ0NGD58ODIzM2FmZoaBAwfC09MTDg4OsLCwAHD7+yGXy5GXl4esrCzcunULAwcORGpqKkxNTXW8B0Qdg9cBMnRXr17F7NmzkZycDAD3/A4AwOjRo/H5559DJpNpLUYyXExCEJFe4SSMDFlERATeeecdvPPOO1iwYMF93/VeXV2N//znPwgPD8eqVauwfPlyLUVK1Hl4HSBDV11djQEDBqCwsBCOjo4YNWrUPb8DKSkpuHLlCtzc3JCdnX3fawfRHyaIiPTI6tWrhYmJiVizZo2oqqq6b/uqqioREREhTExMxOrVq7UQIVHn8fLyEh9++GG7+61fv1706tWrEyIi0j5eB8jQLV26VFhZWYn4+HihVCrv216pVIq4uDhhZWUlli5dqoUIydDxTggi0iu9e/dGaGgoFi9e3K5+kZGR2LZtG3JzczspMqLOZ2FhgdzcXLi6urarX1FREby8vFBXV9dJkRFpD68DZOgee+wxrFixAkFBQe3qFxMTg4iICJw/f76TIiO6zUjXARARdaQLFy5g4sSJ7e43efJkFBUVdXxARFrUtWtXyOXydveTy+Xo2rVrJ0REpH28DpChu3z5Mvz8/Nrdb+TIkbh8+XLHB0R0FyYhiEivcBJGhmzYsGF44403UFNT0+Y+NTU1eOONN7gyOukNXgfI0Nna2qKgoKDd/QoKCmBra9sJERGp4+MYRKRXJk2ahGvXrmHfvn2wsrJqU5+amhoEBATA3t4ee/bs6eQIiTpPRkYG/v73v8Pe3h4hISGqxchkMhmMjY0BAE1NTVAoFMjLy8PBgwcRExODsrIypKenY9CgQTreA6I/jtcBMnQzZ85EdnY29u3bBxcXlzb1KSkpQUBAAHx8fBAbG9vJEZKhYxKCiPQKJ2Fk6OLj4xEaGoqGhga18jvP/2ZCCJiammLr1q2YOXOmVuMk6iy8DpChO3fuHLy9vQEAEydOVPsOSKVSAEB9fb3ad+Dbb78FAJw8eRIeHh46i50MA5MQRKR3OAkjQ3fhwgVERERgz549qKysbLGNjY0NJk+ejLfffhvu7u7aDZCok/E6QIbu8OHDCAwMxPXr1yGRSO7ZVggBOzs77Nq1CyNHjtRShGTImIQgIr3ESRgRoFQqce7cORQWFqK6uhoAYG1tDXd3d3h4eMDIiEtDkf7idYAMXVVVFT7++GMkJCQgNzcXSqVSrV4ikcDLywuBgYFYuHAhHnroId0ESgaHSQgi0muchBERGTZeB4iAuro6FBUVqX0HXF1dYWFhoePIyBAxCUFERGRgrK2tkZOTAzc3NwDAjRs3EBkZiZUrV+o4MiIiItJ3TEIQEREZGCsrK5w6dUqVhLh69SocHR3VnpMn0kfl5eXYsWMHMjMzUVFRAVtbWwwdOhRBQUGwtrbWdXhEHa6iogLm5uaqBSmbnTp1Clu3bsWlS5cgk8kwZcoUPP300zqKkgwNkxBEpJeio6Oxa9culJeXo2/fvggLC8OAAQM02gUEBOCnn34CcPvZyN9//13boRJpnZWVFU6fPg1XV1cATEKQftmyZQtWr16NHj16ICsrS1X+ww8/YObMmaiurkbzf3+bF+zr3r07EhIS8NRTT+kkZqKOlpmZiVdffRWnT5+GRCKBn58foqOj4eLigqSkJEyaNAm///47hBCq78E///lPREVF6ThyMgRMQhCR3pk5cya+/PJL3PnPm0QiQVhYGCIjI2Fqaqoq/+WXX3D9+nXMmzcPBQUFnITRX1bzXQ1tUVpaCkdHR3Tp0gXA7TcFXLp0iec/6YWJEydi//79WLlyJd566y0AwNmzZzFgwADcunULHh4eGDBgAKysrHD16lWcPXsWBQUFeOihh3Dy5Em4uLjoeA+I/pji4mL07dsXtbW1qjKJRIL+/fsjJSUFnp6esLa2hqenJ4yMjJCfn4+8vDxIJBIkJSVhzJgxOoyeDAGTEESkVxITExEYGAgrKyuMHz8ezs7OkMvlOHDgABQKBYYNG4akpCRYWVmp9Rs4cCCys7M5CaO/LCMjI0gkEjzoZV0ikfD8J73g7u6OhQsX4rXXXlOVhYSE4JtvvsHOnTtbnGAlJSUhODgY06ZNwyeffKLFaIk63vz58/Hll19i/fr1ePLJJ5Gbm4t//etfuHLlCpYvXw4fHx9MnDhRrc+PP/6IWbNmYfjw4UhMTNRN4GQwuug6ACKijrRt2zZ4eHjg0KFDcHBwUJU3NTUhOjoaS5cuxahRo5CcnAwbGxsdRkrUsRYtWoRPPvkEjzzyCNauXQuZTNZiOyEExo4di61bt8LJyQkAcP36dQQGBmozXKJOo1AoMHbsWLWy1NRUrF27ttXf8I4dOxaRkZF45513tBEiUadKTk7G2rVr8corrwAAvLy8YGtrizFjxkAmk2kkIADg2Wefxdq1axEeHq7dYMkg8U4IItIrMpkMGzduxOTJk1usP3/+PPz9/eHg4IADBw6oXk3FOyFIH2RkZOCVV17BlStXEBkZieDg4BbbcWFK0me2trbIyclRe6zCzs4OaWlp6NmzZ6v9SktL8cQTT6C+vl4bYRJ1GqlUilOnTsHDw0NV1tjYCKlUipycHPTu3bvFfsXFxfD09MTNmze1FSoZKL4YmYj0Snl5Ofr3799q/WOPPYb09HRUVFRg/PjxuHXrlvaCI+pkgwcPRnZ2NhYuXIh58+bB398fxcXF9+1nbGyMRx55pPMDJNKCxx9/HKdOnVIrk8lkKCsru2e/3377TeMNAkR/RVKpFI2NjWplTU1NEELc8/89t27dgrGxcWeHR8QkBBHpl65du6KysvKebRwcHJCcnIzS0lJMmjRJ40JN9FdmYmKC8PBwnDhxAtXV1ejduzeioqLuuVZE9+7dUVRUpMUoiTrPpEmTEBERgYaGBlXZuHHjEBkZ2WofpVKJd999F97e3toIkahT/e1vf8MPP/ygVrZ3715YWloiISGh1X4JCQlMSJNWMAlBRHqlV69e+O677+7bztHREcnJycjNzcW0adP4ak7SO15eXjh27BjeffddrFixAkOGDMGZM2d0HRZRp1u0aBF+++03jBgxAgcPHoRSqcSbb76J06dPY+DAgdi+fTsyMzNx/vx5pKenY+PGjejXrx/27t2LefPm6Tp8oj9s1KhRWLlyJVatWoV9+/YhMjISc+bMwbJly/DBBx9g5cqVar+wqampQUREBP7973/jmWee0V3gZDC4JgQR6ZV3330X7733HtavX4/Zs2eja9eu92xfUFCAESNG4OrVqwDAZ+JJLxUVFWHOnDlITU3FG2+8gaioKJw+fbpdr/Uk+ispKCiAv78/SktLYWZmhkcffRT19fUoKSmBRCLRaC+EwJw5c7B582YdREvUsUpKStCrVy+1tR2cnJyQl5eHGTNmYO/evQCAHj16QCKRQKFQAAAsLS1x6tQpuLq66iRuMhxMQhCRXrl48SLc3d3x+++/o0uXLigvL79vIiI3Nxd+fn4oLy9nEoL0WvMbYqqqqlBQUMAkBOm1uro6rFmzBjExMZDL5a228/DwwPLlyzFr1iwtRkfUuVJSUrB48WKcP38e/fr1w2effYZ+/fqhsrISY8aMQVZWllr7Hj16IC4uDqNGjdJRxGRImIQgIr3z888/o6KiAsDt54DbsshSbm4ukpOTsWjRos4Oj0inFAoFfvrpJ0yZMgWWlpa6Doeo0ymVSpw5cwanT5/GtWvXUFdXB6lUCgcHB3h7e8PT01PXIRJpXUpKCk6cOAHgdiLO39+fC7OS1jAJQURERERERERawYUpiYiIiIiIiEgrmIQgIiIiIiIiIq1gEoKIiIiIiIiItIJJCCIiIiIiIiLSCiYhiIiIdGD16tWQSCSqn+3bt+skjps3b6rF8eijj3bIdsPDw/8U+6ePgoOD1Y7t4cOHdR0SERFRmzEJQUREdJfy8nKEh4dj4MCBsLGxgampKRwcHODj44NZs2Zh8+bNyMvL+0NjLF68GHK5HC+88EIHRf1gzM3NIZfLkZmZ2aHbXbJkyX33LyIiAt26dUNKSkqHjq3vNmzYALlcjieffFLXoRAREbVbF10HQERE9Gdy9uxZjB49Gjdu3MCSJUsQEBAAmUyG2tpaZGVl4b333kNsbCy8vLxw5syZBx7H0tISlpaWf4r3sstkMty8ebNDt9m1a1d07dr1nvsXHx+PiooKfP311xg1alSHjq/PbGxsVMkxIiKivxomIYiIiO4wZ84cKBQK7Ny5E9OmTVOr69mzJ/z9/eHt7a2j6PTL0qVLsWnTJoSEhOg6FCIiItISPo5BRET0P1VVVTh69CgAICAgoMU2MplMIzlBDyY4OBj//e9/MWDAAF2HQkRERFrCJAQREdH/KJVK1Z8vX77carsVK1YgMTGxxbq6ujqsWbMG/fv3Vz1u4enpiZCQECQlJamNcbe0tDSMHDkSVlZWsLa2xrhx45Cfn99q++LiYsydOxcuLi4wNTWFvb09xo4di/3797fa59SpU5gwYQJsbW1haWkJX19f7Nixo9X23bt3b3XRyrsXSCwuLm51O3c6fPiwWr/g4GC1Y3B33aVLl/Diiy+ie/fukEql8PX1RVJS0j2Py8yZM/Hwww/D3NwcHh4eWLFiBerq6h54Ec7du3djxIgRkMlkMDU1haurK4KCgrB37140NjZqtL948SIWLFgANzc3mJmZwdraGgMGDMCSJUuQk5Oj1rasrAwbN26Ev78/XFxcYGZmhocffhgTJkxAWlpam2O82y+//IIXX3wRDg4OqnVNAgMDO3z9DyIionYRREREpOLo6CgAiBEjRgiFQtGuvlevXhV9+/YVJiYmYs2aNSI/P1/k5uaKjz/+WFhbWwsA4ptvvlHrExQUJACIkJAQMWbMGJGRkSHy8/PFunXrhLGxsXBychI1NTUaY6WmpgobGxthb28vYmNjxblz58SBAwfEkCFDBACxdu1ajT6HDh0SUqlU2NraipiYGFFUVCSysrJEYGCgCA0NFQCEi4uLxj5lZma2WFdZWSnkcrlwdnYWAERRUZHGmM37FxMToyq7deuWkMvl4qOPPhIARFBQkKquoaFBre65554Tw4YNE3v37hUXLlwQu3fvFt26dRPGxsYiKytLY7zc3FxhZ2cnzMzMRFRUlCgsLBSnT58WYWFhws/PTwAQAIRcLhe//fab5ofYgrfeeksAEK+//rrIyckRFy5cEN9//73o27evACAOHTqk1v7o0aPC1tZWyGQyERcXJ4qKisTx48fFa6+9phq/srJS1f69994TAERYWJg4ceKEKCoqEikpKWLcuHHCyMhIxMfHtxjXiBEjWhxfCCESEhKEqampcHNzE998840oKCgQ3333nXjiiSeEsbGxiI2NbdO+ExERdTQmIYiIiO6wadMm1URRKpWKl156SSQmJorq6ur79g0ICBAAxLp16zTq4uPjBQCxZ88etfLmSbqtra2ora1Vq5s8ebIAIL744gu18oqKCtGjRw8BQBw7dkytrr6+Xjg4OAgjIyORmZmpKq+rqxNOTk4CgPj222/V+jQ1NQlvb+8WEw1CCFFUVNRqnRBCuLi4tCsJ0SwmJkYjCXF3HQCRnp6uVrdhwwYBQISGhmr08/HxEQDEhg0bNOomTJig2mZb1dfXC3Nzc+Hl5aVRd/HiRSGRSNSSAJWVlcLBwUFIJBKRkZGh0Wfu3LkCgKioqFCVbdy4UcyYMUOjbWNjo/D09BTdu3cX9fX1GvWtJSEKCwuFhYWFMDU1FSUlJWp1crlcSKVSYWFhIUpLS++z90RERB2Pj2MQERHd4dVXX8Wnn36Kbt26ob6+HnFxcZgyZQrs7OwwatQobNy4EdXV1Rr9srOzsW/fPpiYmGDevHka9VOnToWjoyNMTExaHPeFF16ApaWlWtngwYMBQOP2/ejoaFy9ehVPPvkkhgwZolZnbm6O4OBgKJVKbNy4UVWekJCAy5cvw8nJCc8//7xaHyMjIyxYsKD1g6JDTzzxBIYOHapW1tpxSU1NRXZ2NkxNTREaGqqxrYULF7Z7/JqaGty8eRPXr19HXV2dWp2zszO2bt2Kxx9/XFUWHR0NuVyOwYMHY9CgQRrbCw0NhY2NDSQSiaps/vz5iI+P12jbpUsX+Pr6oqysDBkZGW2OOSoqCnV1dZgyZQoeeeQRtTqZTIaJEyeirq4O27Zta/M2iYiIOgqTEERERHcJCwvDxYsXERsbi6lTp+Khhx5CY2MjDh06hAULFsDd3R3ff/+9Wp+ffvoJAODp6QkrKyuNbZqYmODy5ct47rnnWhzzscce0yjr1q0bAKCioqLFsXx9fVvclpubGwAgPT1dVXbkyBEAaHURyJ49e7ZYrmvtOS7N++jp6amR0AEebB/t7e3Rp08fKBQK+Pr6IiYmBlVVVar6l19+GU5OTqq/N382AwcObHF7gwYNQmVlJWxsbNTKU1JSMHXqVLi6usLGxkb1itOdO3cCuPcaJXd7kPODiIhIW5iEICIiaoGFhQVeeukl7N69G2VlZThy5Ajmz58PCwsLlJWVYfr06SgpKVG1b/6zvb39A41nZ2enUdaly+03aTc1NamVl5aWAgA2b96smqze+dP8G/87J66XLl26Z3wymeyB4u5sLR2X5rtJ7j4unbWPe/bswdChQ/Hrr7/i5Zdfhr29PZ5++ml88cUXuHXrllrbBzkP1q9fj9GjRyMjIwMrV67Ezz//jJycHOTk5KjuWmloaGjz9prPj7fffrvF8+ODDz4A0L7EBhERUUfpousAiIiI/uyMjY0xfPhwDB8+HEuWLIGvry8qKirw5Zdf4s033+yQMe68Pb+tFixYgLCwsHZtUwjR7nHupzO22exBjktHx+Pu7o709HQcP34ccXFxSEhIwMGDB3Hw4EGsW7cO+/btg7Oz8wNtWy6X4+233wZw+w0cdz9e09JdNW0VERGBCRMmtFrf2qNBREREnYlJCCIiojusWbMGo0ePVq07cDc3NzdMnz4dn332mdorKV1cXAAA165d6/QYXVxckJeXByFEi48rtKR5ktxafAqFotW+xsbGADTvPGhWVlbWphg62x/Zx7bw9fWFr68vPvzwQxw4cAALFy7EmTNnsGzZMsTFxQH4/8+mrefB0aNH0djYCGtra40ExINycXFBfn4+unTp0ubzg4iISFv4OAYREdEdtmzZgqSkpHu2MTc3B6B+y72/vz8AIC8vDzU1NRp96uvr8eyzz2LLli1/OMbmsTIzM1usF0LgmWeewZIlS1RlI0aMAACcOHGixT6//vprq+M1r19w9xoMwO3f5N+9YKOuNO9jfn4+amtrNervtY+tKSsrQ3BwMG7evKkqk0gk8Pf3R3R0NADg5MmTqrr7fTZZWVl4+umnVQtNKpVKAK3fvfEgj0zcL4ba2loMGjQIH374Ybu3TURE9EcxCUFERHSXzz//XG3xwTvV1tZiz549kEgkmDRpkqrcx8cHAQEBaGxsxKZNmzT6bd++Hfv374e3t/cfji80NBQymQzHjh3D0aNHNerj4uKQnJwMPz8/VdnUqVPh5OSEK1eu4LvvvlNrr1Qq8emnn7Y6nrW1NVxdXXHjxg3k5eWp1f2Z3rDw1FNPwcfHBw0NDS3G9cknn7R7m7W1tdixYwdSU1M16hobGwFA7Q0UzZ9NZmZmi0mA9evX4+TJk+jfvz+A23dXSCQS1NTUIC0tTa3t5cuXW/x872fx4sWwtLTEnj17UFRUpFH/0Ucf4fjx43jmmWfavW0iIqI/ikkIIiKiO0gkEhQXF2PIkCGIiYnB2bNncenSJWRnZ2PLli3w9fVFcXExwsPD4ePjo9Z3+/bt6NOnD5YvX473338fBQUFOHv2LD744AO8/vrrWLZsmeqtCfX19VAoFKivrwcAVFVVQaFQoKmpCU1NTVAoFKpEyN1tbWxs8PXXX8PGxgYTJkxAdHQ0Lly4gDNnzmDNmjWYM2cOFi5ciHHjxqlik0qliI2NhVQqRXBwMHbs2IGSkhKcOHEC06dPh7W1NQCoxi4vL1fbt+a1J4KDg5Geno7i4mJ89tlnyM7OVk3Cr127pnrkoba2tsX9q6+vR0NDQ4v7V1tbe999v3btmupRh7vbAsAXX3wBOzs7LFu2DBs2bFAdl3/84x+qt2o8iODgYMTExODXX39FYWEhEhMTMXfuXEilUoSHh6va3fnZTJw4ETt37kRJSQmOHz+OV155BYmJifj8889hZmYGAHB1dVW90nXGjBnYtWsXCgsLsX//fjz77LOqR2DuPD+a/9y8WGV5ebna311dXREbGwulUonRo0dj165dKCkpwcmTJ7F06VKsWrUK69evR58+fR74eBARET0wQURERCpXrlwRmzZtEjNmzBBeXl7C2tpaGBkZCQsLC+Hh4SFmz54t0tLSWu1fW1srVq9eLfr06SOkUqno1q2bGDp0qNi5c6dQKpWqdjExMQKAxk9RUZEoKipqsS4mJkZtrNLSUhEWFiYeffRRYWpqKmQymfDz8xO7d+9WG+tOOTk5Yvz48cLGxkaYm5uLXr16ibVr14pz586pjTV48GC1fkqlUrz//vvCzc1NmJiYCGdnZ7Fs2TJx8+ZN4eLiota3sbFRrFq1qtV9OHToUIt1q1atuu++3z0WABEUFKQW64ULF8SLL74o7OzshJmZmfD09BTr1q0TjY2NAoCQSCRtPh+USqU4cuSICAsLEz179hRSqVR1LsydO1cUFBS02K+0tFTMnz9f9dk4OTmJ559/XmRmZmq0bWpqElFRUaJXr17C1NRUWFpaCl9fX7F582Yxe/ZsjfMjKCioxWN06NAhte3m5uaK2bNnCycnJ2FqaiqcnZ3F2LFjRXJycpv3n4iIqKNJhOjEJa2JiIiI/iRqampgbW0NW1tbjTs9iIiISDv4OAYRERHpjbS0NPz4448t1p09exYA0K9fP22GRERERHdgEoKIiIj0RnJyMhYtWqRaNPJOzW8mCQkJ0XZYRERE9D9MQhAREZFeOXfuHCZPnozU1FSUlpYiOzsbCxYswLZt2zB9+nTMmjVL1yESEREZLK4JQURERHqjtLQUsbGxSEpKQnFxMa5duwZzc3P07dsXISEhCAkJgUQi0XWYREREBotJCCIiIiIiIiLSCj6OQURERERERERawSQEEREREREREWkFkxBEREREREREpBVMQhARERERERGRVjAJQURERERERERawSQEEREREREREWkFkxBEREREREREpBVMQhARERERERGRVvwf7FWTHgdg+p8AAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='sequestration', resource='Power', transport='Grid')\n", - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='sequestration', resource='CO2', transport='carbon')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='AqOff',\n", - " location='sequestration', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='production', resource='Power', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='sequestration', resource='CO2', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'consumption', 'Grid', 0): 1.0,\n", - " ('generation', 'consumption', 'carbon', 0): None,\n", - " ('generation', 'consumption', 'hydrogen', 0): None,\n", - " ('generation', 'production', 'Grid', 0): 1.0,\n", - " ('generation', 'production', 'carbon', 0): None,\n", - " ('generation', 'production', 'hydrogen', 0): None,\n", - " ('generation', 'sequestration', 'Grid', 0): 1.0,\n", - " ('generation', 'sequestration', 'carbon', 0): 1.0,\n", - " ('generation', 'sequestration', 'hydrogen', 0): None,\n", - " ('production', 'consumption', 'Grid', 0): None,\n", - " ('production', 'consumption', 'carbon', 0): None,\n", - " ('production', 'consumption', 'hydrogen', 0): 1.0,\n", - " ('production', 'production', 'Grid', 0): None,\n", - " ('production', 'production', 'carbon', 0): None,\n", - " ('production', 'production', 'hydrogen', 0): None,\n", - " ('production', 'sequestration', 'Grid', 0): None,\n", - " ('production', 'sequestration', 'carbon', 0): 1.0,\n", - " ('production', 'sequestration', 'hydrogen', 0): None}" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_min'].output['X_T']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/scenario_mean.ipynb b/examples/publication/scenario_mean.ipynb deleted file mode 100644 index 8dd520e3..00000000 --- a/examples/publication/scenario_mean.ipynb +++ /dev/null @@ -1,1732 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Master Energy Systems MILP Case Study" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_9160\\2164895371.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston_max = calculate_hourly(data = solar_houston, what = 'max', column_name= 'PV_Power')\n", - "solar_houston_min = calculate_hourly(data = solar_houston, what = 'min', column_name= 'PV_Power')\n", - "solar_houston_mean = calculate_hourly(data = solar_houston, what = 'mean', column_name= 'PV_Power')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\windpowerlib\\wind_turbine.py:173: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", - " self.nominal_power = float(turbine_data[\"nominal_power\"])\n", - "c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\windpowerlib\\wind_turbine.py:175: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", - " self.rotor_diameter = float(turbine_data[\"rotor_diameter\"])\n" - ] - } - ], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "wind_houston_max = calculate_hourly(data = wind_houston, what = 'max', column_name= 'feedin_power_plant')\n", - "wind_houston_min = calculate_hourly(data = wind_houston, what = 'min', column_name= 'feedin_power_plant')\n", - "wind_houston_mean = calculate_hourly(data = wind_houston, what = 'mean', column_name= 'feedin_power_plant')" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)]) #, stretch = True" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_9160\\2439530589.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "location_generation = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston[:8760], WF: wind_houston[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_generation_max = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_max[:8760], WF: wind_houston_max[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_generation_min = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_min[:8760], WF: wind_houston_min[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_generation_mean = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_mean[:8760], WF: wind_houston_mean[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_production = Location(name='production', processes= {PEM, SMRH}, price_factor={\n", - " CH4: ng_price_df[:365]}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "H2_pipeline = Transport(name= 'hydrogen', resources= {H2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 2\n", - " , label= 'Pipeline for hydrogen transportation')\n", - "\n", - "CO2_pipeline = Transport(name= 'carbon', resources= {CO2}, trans_max= bigM, trans_loss= 0.01, trans_cost= 1.667\n", - " , label= 'Pipeline for carbon dioxide transportation')\n", - "\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.01, trans_cost= 0.5, label= 'Power Transmission')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [20, 45, 100],\n", - " [0, 60, 50]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Grid, CO2_pipeline], [Grid]],\n", - " [[],[CO2_pipeline], [H2_pipeline]], \n", - " ]\n", - "\n", - "network = Network(name= 'Network', source_locations= [location_generation, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "network_max = Network(name= 'Network', source_locations= [location_generation_max, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "network_min = Network(name= 'Network', source_locations= [location_generation_min, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n", - "network_mean = Network(name= 'Network', source_locations= [location_generation_mean, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix) \n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# # plot_location.demand_factor(resource=Power, location=houston)\n", - "\n", - "# plot_location.capacity_factor(process=PV, location=location_generation_max)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation_max)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "locset = [location_production, location_generation_mean, location_sequestration, location_consumption]\n", - "demand_dict = {i: {H2_C: 1} if i == location_consumption else {H2_C: 0} for i in locset}\n", - "\n", - "\n", - "# scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand= demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "scenario_min = Scenario(name='scenario_min', network=network_min, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(min)', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "scenario_max = Scenario(name='scenario_max', network=network_max, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(max)', demand=demand_dict, annualization_factor = 0.15)\n", - "\n", - "scenario_mean = Scenario(name='scenario_mean', network=network_mean, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(mean)', demand=demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "casestudy = CaseStudy(name = 'casestudy', scenarios= [scenario_mean])#, scenario_max, scenario_min, scenario_mean])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[scenario_full]" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.scenarios" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "inventory_zero = {i: {(LiI, Power): 25} if i == location_generation else {(LiI, Power): 0} for i in locset}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint transport export\n", - "constraint transport import\n", - "constraint transport exp UB\n", - "constraint transport imp UB\n", - "constraint transport balance\n", - "constraint transport imp cost\n", - "constraint transport cost\n", - "constraint transport cost network\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario_full': }" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 3276629 rows, 3460591 columns and 6765832 nonzeros\n", - "Model fingerprint: 0xabc5f173\n", - "Variable types: 3460533 continuous, 58 integer (58 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+06]\n", - "Presolve removed 3177877 rows and 3388112 columns (presolve time = 5s) ...\n", - "Presolve removed 3177877 rows and 3388112 columns\n", - "Presolve time: 6.04s\n", - "Presolved: 98752 rows, 72479 columns, 269974 nonzeros\n", - "Variable types: 72479 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 1.5264781e+08 5.490000e+02 2.047455e+09 8s\n", - " 4392 4.8625688e+09 0.000000e+00 4.587368e+08 8s\n", - " 24082 3.0795885e+08 0.000000e+00 2.615228e+10 10s\n", - " 29022 1.9178831e+08 0.000000e+00 7.563515e+08 15s\n", - "Concurrent spin time: 0.00s\n", - "\n", - "Solved with dual simplex\n", - "\n", - "Root relaxation: objective 1.705492e+08, 38030 iterations, 9.50 seconds (14.68 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 1.705492e+08 1.7055e+08 0.00% - 17s\n", - "\n", - "Explored 1 nodes (38030 simplex iterations) in 17.42 seconds (21.14 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 1.70549e+08 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.705491573807e+08, best bound 1.705491573806e+08, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = casestudy.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_dict = {i.name: solve(scenario=i, instance=milp_dict[i.name], solver='gurobi',\n", - "# name=f\"results_master\", print_solversteps=True, saveformat = '.pkl') for i in [scenario, scenario_max, scenario_min, scenario_mean]}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "170549157.38070685" - ] - }, - "execution_count": 68, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_full'].output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "19469.081892774753" - ] - }, - "execution_count": 67, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_full'].divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_full'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='generation', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_full'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='sequestration', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_full'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='production', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='P', component='PEM',\n", - " location='production', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results_cost, y_axis='S', component='H2(C)',\n", - " location='consumption', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Results(name='casestudy_results', results={'scenario_full': scenario_full, 'scenario_max': scenario_max, 'scenario_min': scenario_min, 'scenario_mean': scenario_mean})" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='Inv', component='LiI_Power',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "x = results_dict.results['scenario_max'].output['Inv'].values()\n", - "x2 = results_dict.results['scenario_mean'].output['Inv'].values()\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='Inv', component='LiI_Power_stored',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAw8AAAHtCAYAAABfz0J2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOx9d7wbxdX2s9Ltxb2CDTZgY9NLIARCTEI34QVMCwQwkAS+AIEQSCMJLSSE10DeBAihBRxTQjMdjAFDTDEdTDFgY9wAd1/7NklXV5rvj9WsZndnZme2SLryPvmRK+/OnHOmn3PmzKxBCCGIESNGjBgxYsSIESNGDA8kyi1AjBgxYsSIESNGjBgx+gZi4yFGjBgxYsSIESNGjBhKiI2HGDFixIgRI0aMGDFiKCE2HmLEiBEjRowYMWLEiKGE2HiIESNGjBgxYsSIESOGEmLjIUaMGDFixIgRI0aMGEqIjYcYMWLEiBEjRowYMWIoITYeYsSIESNGjBgxYsSIoYTYeIgRI0aMGDFixIgRI4YSYuMhhg3pdBq33347Jk+ejC233BINDQ1oaGjAFltsgf333x/nnnsupk+fjhUrVoTK9/TTT4dhGLb/Kg3PP/+8S8a77rordD6VWBcPPvggvvvd72LgwIGor6/H6NGjcdhhh+G2224rt2ieWLJkCX7zm99g7733xqBBg1BbW4vW1laMHz8e3//+93HZZZdh1qxZ6O7uDpXv0qVLXe14+eWXh8ojKhxwwAEu2Z3/1dTUYPjw4TjssMMwY8YM5HI5K//ll18uzHf66acL+d51113cPDrj7JZbbkG/fv1w5plnBqiB8uHxxx/HoEGDcPjhhyObzZZbHCX09PTgmmuuwe67747m5mY0NTVh2223xcknn4w5c+aUW7wYfRh9fTxXKwxCCCm3EDEqA4sWLcKRRx6Jzz77DKNGjcIPfvADjBkzBvX19fjqq68we/ZsvPbaa1b6GTNm4JRTTgmF97x587B48WK8/PLLuPXWWwEAldY1V61aheeffx4AcOqppwIA7rzzTqky5AeVVhdXXXUV/vCHP6C1tRXnnXcettlmG3zyySe46aabMGLECCxdurRssnnh1ltvxQUXXIB0Oo0DDzwQ+++/P0aNGoVMJoMFCxbg4YcfxqpVqwAAdXV16O7uRjKZDIV3V1cXHnnkEQDAhRdeiHXr1uGyyy7rEwbEc889h9WrV+OTTz7Bn//8ZwDAWWedhf33399K09bWhmeffRZPPfUUAGDSpEl49NFHMWDAAHzwwQf44IMP8Oyzz+Luu+8GABx66KE45ZRTsO222+Jb3/oWl+8XX3yB1157DR988AGmTZuGn/70p9h3332x7777YptttlGSfaeddsLHH38MAFi3bh0GDx7sux7Kge9///tWnb799tvYc889XWn+7//+Dxs3bsQBBxyAAw44oMQS2kEIwSGHHILnn38e2223HX784x9j4MCBeOGFF/DAAw9g6tSpkThZYvRdLF261OoTP//5zzFgwABh2r4+nqsWJEYMQkhXVxcZM2YMAUB+8pOfkEwmw003ffp0kkgkCABy2223hS7HnXfeSQCQSu+aVMY777wzMh6VUBdr164ldXV1BAB57LHHbO9+85vfkK233ro8gingqaeeIgBIXV0deeaZZ7hpOjs7yVFHHWXVczabjUSWrbfemgAgl112WST0o8KLL77o2ddvvfVWK83kyZNt7z777DPr3fjx45X5nnfeeaSmpoasWbNGW+abbrqJtLa2klNOOUU7byXgkUceIQMHDiQHHXSQcB6upP70+OOPW+PM2V777LMPmTp1ankEi1GxYOeVJUuWSNP29fFcrYjDlmIAAKZPn46lS5eiX79++Nvf/oa6ujpuutNOO83yuseofrz++uvo6ekBAJeH8ze/+Q1eeOGFMkilhiuuuAKA2WcPO+wwbprm5mbcdddd6N+/fylFqyr85Cc/wXe/+10AwNNPP42XXnrJejd+/HjLc75w4UK88847nvRyuRwefPBBHHzwwRg6dKi2POeccw7a29sxY8YM7byVgKOPPhobNmzAc889J5yHKwn//e9/AQA77rijq71mzpyJq6++uhxixagS9PXxXK2IjYcYAIoLwA477IDGxkZp2pNPPrkUIsWoAGzYsMH63a9fP9u7/v37Y9ttty21SEro7u7GW2+9BQD4xje+IU07YMAATJ48uRRiVS2mTJli/X7sscds79j54t577/Wk9cILL2D16tXxPNNHQOcI5/wAACNHjsTIkSNLLVKMGDEiRmw8xAAArF+/HgCwdu1az7Tf/OY3MW3aNHzzm9+MWqwYZUY+ny+3CL7Q1tZmnRNR6dPnnXcepk2bFtp5h80NrBG5ePFi27sf/OAHSCTMpeb+++/37FP33nsvmpqacPTRR4cuZ4zw0VfniBgxYvhHbDzEAAAMHDgQgHlg8c0335Sm7d+/Py6++GLsvPPOwjSEENx777047LDDMHz4cNTW1mLQoEH41re+hV//+teWV9gL7777LqZMmYJhw4ahoaEBO+64I6699lqlBevFF1/E8ccfjy222AJ1dXUYMmQIJk2ahBtuuAGZTEaad82aNfjZz36GMWPGoKGhAVtuuSVOOukkzJ8/X5pvn332sd0S4wz1WbVqVeg3NrW3t+PKK6/E7rvvjn79+qGpqQnbbbcdfvSjH3nKKwK98emMM86wnrEyjxkzxpUnm83ipptuwqRJkzBkyBDrVqaTTz4Zr776qpSP82apBQsW4LTTTsPo0aNRU1NjvVM9nD1gwACL1kMPPWS7CYiHfffdFxdffLH0Zqt169bhd7/7HXbddVf069cPzc3NmDBhAi644AIsW7ZMSS4Z7RtuuAFHHHEEttxyS9TV1aFfv37YY489cOmll1rGvRO8W42WLl2KFStW4JxzzsHYsWNRV1dnvWNDisIEa3Q5bwjaYostMGnSJADAV199hblz5wrppNNpPPLIIzjyyCPR0tKiJYOoLliMGTOGOz4ffvhhfPvb30b//v3R2tqKb3/723jiiSe0+PPwwAMP4NBDD8XQoUOtOXD//ffH5ZdfjgULFtjS8m6acrYXfU772xVXXKF0M9vixYvx05/+FNtttx0aGxvRv39/7Lbbbvjtb3+L1atX+yobrcvp06cDMHevvW7V8jOGRG329NNP49BDD8WwYcOQSCSE85IX2Lm+vr4ew4cPx5FHHmmFZDrrV2TUzpw5E0cccQSGDx+Ouro66yayf//739z5x3mjGZV9zpw5OOSQQzBo0CA0NTVhzz33xJ133qlUlrBkmDdvHqZMmYItttgCyWTS1bdyuRyefPJJ/OhHP8IOO+yA5uZmNDQ0YMyYMfjhD38o1CFoH6dhjgAwduxYbr9RGc8sOjs7cfXVV2PvvffGwIED0djYiG233RY//vGP8dFHH3HzRNEGmw3KfegiRmXguuuusw4wjRo1isyaNcs3rY0bN5Lvfve7BAAZPXo0ufTSS8ltt91GLr30UjJu3DiLz09/+lNXXvaQ8HPPPUdGjx5Nfv/735M77riDXHzxxaSxsZEAIOedd56Qfy6XI+eddx4BQAYNGkR+85vfkDvuuIP86U9/IhMnTiQAyI477kiWL1/Ozf/RRx+RYcOGEQBk++23J3/5y1/IbbfdRs455xwyYMAAMmvWLOEh0lmzZpEZM2aQ/fffnwAgkyZNsr1PpVJkxowZZMaMGZ4HUVUOTL///vtk5MiRBAA5+OCDyQ033EBuvfVWcvrpp5OamhpiGAa59tprhflFeO2118iMGTPIWWedZclA5Z4xYwZ55JFHbOlXrFhBdt55ZwKATJw4kVx99dXktttuI+effz5pamoiAMgvfvELks/nPfm8+OKLZMiQIeS8884jt912G/nNb35DGhoalA7XsaDyACDHHHMMWbFihXY9ULz44otk4MCBtnq++eabyXHHHUcAkIaGBnL//fcL83sdcB0wYAABQIYMGUJ+/etfk1tvvZVcfvnlZLfddrPG5CeffOLKN3/+fDJjxgxyySWXWGV96qmnyIgRI8jUqVPJrbfeSv74xz9asr/44ova5fbqp4QQctddd1npfvzjH7ve33bbbdb7n/zkJ0I6Dz30EAFAHn/8cS05CeHXhbO/PPLII67x+cc//pHsuOOO5NprryW33XYbOeGEEwgAYhgGeeCBB7TloDjzzDMJALLNNttYc+Cf//xn8o1vfMOSj6W/ePFiMmPGDPLXv/7VNhZY0PE3ZMgQq1+z43LGjBkuOWbMmEHq6upITU0NOeOMM8htt91G/va3v5GDDjqIACD9+/cnc+bM0S6fsy4nTJhgk+O1116zpfc7hnht9r//+79k1KhR5NJLLyW33norOeWUUwgA7QscZHN9Q0MDueGGG6y2OOuss8iMGTPISy+9ZKORTqfJlClTrPXu8ssvJ3fccQe59NJLyejRoy2Z29rabPlmz55NZsyYQY455hhL9unTp5OxY8eSq666itx+++3krLPOIslkkgCQzuNhynDvvfeSoUOHkl/96lfktttuI+eee64lA8XPf/5zAoAkEgly4oknkr///e/kr3/9Kzn55JNJIpEgiUSC/O1vf3PJSfs4O0b/+te/cvuNynim+PDDD61y7r333uS6664jt956KznzzDNJTU0NSSaT5Prrr3flC7MNNjfExkMMQggh69atsxYk+t9uu+1Grr/+erJs2TJlOrlczjIcdt55Z9dklclkrEnuqKOOcuVnFeYdd9yRfPHFF7b3d999tzVpiSaS3//+9wQA2WKLLVwGQjqdJgceeCABQL7xjW+4btfp6uoiY8eOJQDIPvvsQ7q7u23v582bZ01SMoVq6tSpXOOBRVDjYeXKlWTo0KEEAPn973/vev/ss89aN2M5lX1VqBgwXV1dllF20EEHkXQ6bXv//vvvk5aWFgKAXH755Z58tttuO/LWW2/Z3l911VXaxsP06dNt/bm2tpaccMIJ5JFHHiFdXV3KdBYsWGAZQLx6vv32260+KVLCvIyH5uZmsuWWW5JVq1bZnvf29pIzzjiDACC77LKLy/iiYJX8UaNGkSeeeML2no6bqIyH0047zUp33333ud63tbVZt3YNGjSI9PT0cOlMmTJF+l5XZlF/oeNz+PDhZJ999iGpVMr2ntb5Ntts40sG6mAYNWoU2bhxo+1dPp8np556qrBOlyxZIjQeKFRvW5o9ezYxDIMkEgny7LPPut7TubJ///5k6dKlqsWzQWWuC2MMsW22ww47kPXr19veH3TQQVrGg8pc39zc7Nn/qeHCW+/a2trITjvtJFzvCCHksssuIwBIv379yE477eQq1xVXXEEAkJaWFuG8FaYM22yzjWvd/fGPf2xbA84991zLoeTE888/bxkQb7zxBpefzm1LXmlXrVpFhg8fTgCQ0047jeRyOdv7WbNmWcr/XXfd5Vl+v22wuSE2HmJYeO211yxl1PnfrrvuSi677DKyaNEiKQ1WCXz55Ze5ab766iuSTCY9jQeeopnJZCwv9M033+x6v3DhQmui+Ne//sXlv2DBAovHPffcY3v3l7/8xXr35ptvcvPTXY1yGw9UARk7dizp7e3lpqFe1O23316oeMqgYjxcfvnlBABJJpNk8eLF3DR0chalYflcdNFFrvfz588nU6dOJWvXrtWS/5JLLiGGYbj6c2NjI/n+979Ppk+fTjo6OqQ0DjjgAMuoEdXzpEmTrDTOxYsQNePhmmuu4b5rb2+3+vzzzz/PTcMusMcee6zr/VdffUWmTp3K3b2QQcV4eO+99yzDYPz48cLrbtkrcXk7C5s2bSINDQ3krLPO0pJRJrOX8QCAq6y+9NJL1nvdOiOEkAsvvFDYFoQQsmjRosiNh97eXks5Pu2007hpstks2XLLLQkg3xGSQWWuC2MMsW3mNI4JIeT+++/nzh0ihDHXv/DCC9J+RAghTz/9tJXm1Vdfdb2nc6NozVq6dKn1nnfldNgy3HDDDVwe7JW75557Lpk4cSKXFyGEnHzyyQSA8HrVMI2H008/3TKAnYY6Be07/fv3J5s2bXK9D9oGmyPiMw8xLHzrW9/CggULcOGFF6K1tdX2bv78+bjiiiswfvx4HHvssVi+fDmXxk033QQAGD16NL797W9z09AYaN7tHCyOOOII17O6ujqMHTsWgPlROyduvfVW5HI5JJNJHHvssVy6EydOxFZbbQUAuO+++2zvaPzumDFjsNdee3HzH3fccVK5S4G2tjb85z//AWDKIzroS68o/eyzz/Duu++GLgchBDfffDMA87yH6ENeP/zhDwGYsbK33HKLlCav3XbZZRfcddddGDJkiJZ8f/rTn/Dyyy/j4IMPtsXsplIpPPnkk5g6dSq22morXHPNNejt7XXlX7BggRV3fuKJJwrrmZbv888/x7PPPqslI+Xzs5/9jPuOfg0bAF5++WVPWrz622KLLXDXXXdhwoQJ2rJRdHZ2Yt26ddZ/n3/+OW666SYcdNBB6OnpwbBhw/Dwww+jpqaGm9/r1qWZM2cinU6X9Jal1tZW6zwGi4kTJ1q/efOMF2h8+TvvvINUKuV6v+222+K5557DoYceqk1bFbNmzcKSJUsAmH2Xh5qaGhx44IEA1A6z+0HYY6ipqYl79fIJJ5yAa6+9VlmuMOZ6OvcNGzZM+LG+Aw880BoTzvXGiSOPPNL1bOutt7ZuQOT1xbBl4M0f3/ve92xn86688krrhkYe6A13KvNVEGzcuNGaS77//e8Lr9ymfWvTpk245557pDT9tMHmiNh4iGHDkCFDcP3112P16tV44IEHcPLJJ9u+/kgIwcyZM7HHHnvgww8/tOXdtGmTpaDuscceUj4vvPAC/v3vf0vTjBs3jvucyrNp0ybXuxdffBGAabz09PTYlB32v2HDhgGA7eD2hg0b8MknnwAAdtttN6FcO+64o1TuUuDVV1+1DqaOHTtWWE720KnqIXUdfPzxx9aBS96XcCnGjRtnGYu0jURgFbcwsN9++2H27NlYsmQJrr32Wnz729+2bv8BTEPsN7/5Df7nf/7Hdahwzpw51m9Z+dh3XuXjYauttrIWJ0II2tvbue1Iv4YtQ9j1R/Gzn/0MQ4cOtf4bN24czjvvPHR3d2Pq1Kl45513sNNOOwnzH3nkkZZT4vHHH0dXV5ft/b333ovRo0fjO9/5TiTy87Dtttva+gIFO+fx5hkv7LfffgDML+nut99+eOSRR2wHyQ3DwEEHHRTpNaZsPxw1apRwjqCXZbS3t2PhwoWhyxH2GBo3bpzQQFVFWHM9NYomTJiA9evXc+u3vb3d+iqybA4eMGCA0DkiW/PClKF///5KfXLQoEG2b3qk02kb79raWgBq81UQvPLKK9Z3iMLoW37bYHNEsBEYo2rR2NiI448/Hscffzx6e3sxe/Zs3HLLLXjiiSdACMH69esxdepUmzd76dKlludqiy22CCyDc/eDgn44iecpptdELl26VOkDU2vXrgUhxHaDCQDpBEoX23KCvQ7znHPOwTnnnOOZx++tKqpybLnlltK0W2yxBdrb211XeTrhtSPlF1tvvTUuuugiXHTRRVi7di3uu+8+3HjjjZYn6ZlnnsGNN96ICy64wMqjWj72nVf5eMhms/jnP/+Je+65B++//77wNrB0Ou1JK6r6++Uvf4lDDjnE+ncymcSgQYMwceJEpY+ZNTY24uijj8aMGTPQ3d2NRx991PIIrl69GnPmzMEvfvEL6Y1XYcNrjgH484wXjj/+eMycORP3338/3nvvPUyZMgUDBw7E97//fRx77LE4/PDDI/8AHNsPd911V6U8q1evDrQ75SVHGGMojP4dxly/adMmrFu3DgAwd+5cpfVGNgeL+iIgXvPClkGnbl9++WX87W9/w9y5c4XXYXvdahgUqn1r0KBBaGhoQDqdlvYtP22wuSI2HmJ4oqamBpMnT8bkyZPx0ksv4YgjjkB3dzfee+89fPjhh9aVrZ2dnVaehoaGwHx5HkEvUBm22247azvXC9R4YD2hMvkr4VsAbF1feeWV+Na3vuWZx881hjpyeLU5fd/e3i5N56fddTF06FCcf/75OOecc3DxxRfjb3/7GwDg3//+t814UC0f+86rfE60t7fj4IMPxptvvonm5macd9552GOPPazdMQC46KKL8MEHHyjRi6r+dthhBxx00EGBaJx88snWl2Lvu+8+y3h44IEHkMvlSv5huKjqyjAM/Oc//8Fxxx2Hv//973j55ZfR1taGGTNmYMaMGRg2bBh+//vfC0PVwgDbdx977DE0NTV55pHtHIUhRxhjKIw2C2OuZ8u133774fLLL/fkKzMYg6x3pZbhL3/5C377298CAA4//HAcffTR2GqrrawdodmzZ2PatGlKtIJAd/1Jp9OR963NBbHxEEMLBxxwAC644AJcffXVAIBPP/3UMh5Yq13FQxoFWltb0dbWhmQyqa3osCE+Mvm9vhmggqCxxWxdjxs3LrBSF4YcXm1O34viUsuBmpoaTJs2DY888giWL1+OTz/91PZetXzsO93yXXbZZXjzzTeRTCYxZ84c7L333q40lbDbFQYOOuggDBs2DGvWrMHs2bOxfv16DB48GPfeey8mTpwoDSHpizjuuONw3HHHYenSpbj//vsxY8YMfPzxx1izZg3OP/98rF27FldeeWUkvNm+u/fee2PEiBGR8NGRI6oxpIsw5nq2XC0tLWWZg8shw/vvv49LLrkEgPlxzRtuuMGV5ssvv4xcDqDvrz99GbGZFQMAcO2112LEiBFW/KAM++yzj/WbFL7iC5ix99Ry//rrr8MXUgHbbbcdAHPyYmVTwdZbb22FTKxcuVKYrq2tzZMW9cCItjh1vdNO0HICEB5eLwVYObzanL5nv0YcJfbaay/89Kc/9UxXW1trxcQ6+4xq+b766ivrt275HnzwQQDml9t5hkM1oaamBscffzwAM1TrwQcfxJIlS/D666+XfNehlBgzZgx+/etf46OPPsKTTz6JQYMGATA9uFHFUPe1OSLIGNJFGHN9v379rDChctVvOWR46KGHrHny/PPPLwlPEVT7Vltbm2U8lGr9qXbExkMMAOb23+rVq/HFF194pmW95qNHj7Z+t7a2WrcsvPPOO1IaZ599Nk444YTQdyjolyu7urqEX5UEgNdffx01NTW2mxUGDhyIHXbYAQDw3nvvCfM6vwzLA40d3bhxI/d90IOJ++67r7X9/MYbb0jTTp48GTU1NZEcmJ44caLl0ZS1+eeff24ZTOzXRaPE2rVrpe3IgvZptj8Ddlll5WPP/uiWb82aNQDkMbvs9nxfB2sk3HfffdbtL9VkPMycORP//Oc/ue+OOOII/PGPfwRgGlB+5gKVcyFsP5TNEZlMBoMHD8bgwYNdXwcPA6UYQ7oIa66nci5cuFBqaNx///2oqamJJEyt1DLQ+QoQz1le81VY55rYdVDWt9h3pVp/qh2x8RDDhvvvv98zzaxZswAAgwcPdl1xd+655wIwPf+ia9rmz5+PW2+9FV9//XUoZyNYnH322VacKnu1nBN33HEHcrkcfvCDH9ieT506FYB5oE6kbD/88MOectCrNb/44gvu7sOTTz7pSUOGAQMGWPHis2bNEh6CW7ZsGWbPno1tt93WMuzChGEYlnd/3rx51tWQTtDr9JLJJM4666zQ5RDh7bff9jSIu7q68MorrwCA6wrIiRMnWovN/fffLwxjoOXbbrvtbIeKVUAPbIqUyFQq5Qqn6svYd999rfM3L7/8Mm655RbpNb99EY8//jguvfRS4Xv2kC57s5Mq6PkFVtlfvHgxJkyYgMsuuwwAcOihh1peVnotKQ8PPfQQNmzYgClTpli35ISJUowhPwhjrqcXVeRyOdx9993CdLfffjt3vQkDpZaB7buiOcvrWnD2/A3bh6+99lpMmDAB77//vpIs7Dr45JNPCnf0ad/q37+/lT5GMMTGQwwb/vKXv+CZZ54Rvr/vvvtwxx13AACuuOIK15V5p5xyCr73ve8BMOMhnYO5u7sbP/nJTwAAv//978MUHQCwzTbb4A9/+AMA4MYbb7RdE0jx0EMP4Y477sAee+zhuv/83HPPtb4jccEFF7juaH/rrbfwr3/9y1OOQw89FIZhIJVKuRagL774AjNnztQqFw9XX301hg8fju7ubvzoRz9y3WzR0dGBk08+GblcDldffXVkt9j88pe/xMSJE5HL5fD//t//c4W+ffjhh9b965deemlJlcRcLoeTTjpJaFx1d3fjjDPOwPr169G/f3/86le/cqW56aab0NTUhEWLFlkeYxZ33XUXXnzxRSQSCdx2223ah+7overz58933cFOCMGvfvUr17WmfR0nnXQSALN8y5cvr6pdB4q1a9fi73//u+s5IcQ6NL7rrrsKr6SWgeZhQ1XeeecdfPbZZ5ZDJpFI4NZbb0UikcA777yDq666ykVn4cKFuOCCC9Da2hrJfEwR9RjyA5W5/tFHH5XSmDRpEk4//XQA5tzG2+2+/vrr8fzzz+N//ud/rCt8w0SpZZgyZYq1lvzud79zOcfmzZtn9W8Rtt12W4sG24fnzJmDzz77zHZZhBfoOrhx40b8/Oc/d50nfP755y15/v73v0tvVIqhjvjAdAwA5jWatbW1SKfTmDx5MiZNmoSDDjoIW2yxBQghWLFiBWbPno158+YhmUzisssus3YZWCQSCcycORNHH300XnrpJey8884488wzseWWW2LZsmWYPn06VqxYgSuvvNLm5f3ggw/wwQcfYN68edYz6kU55phj0NzcjOeeew6rV6+2FMEvvvgCd999N1paWnD00Udb+S699FK0t7fj+uuvxyGHHIKTTz4Z++23H7q7uzF37lw8+uijGDduHGbOnOkyfpqamvDEE0/gu9/9LubNm4c99tgDZ5xxBgYPHoz33nsPd955J6ZNm2aVfd68eaipqcHWW2+N/fff36IzduxYnHPOObjppptw5pln4p133sHEiROxZMkSTJ8+HXfeeaf1cSZKY5tttsG+++6LefPmYfHixdy62HfffS3le/jw4Xj++ecxefJkPPXUU9hll11w6qmnYsSIEVi8eDGmT5+OVatW4U9/+hOmTJmi1R9kMrBtAphXcM6ePRuHH344Zs+ejd133x2nnXYahgwZgg8//BC33347urq6cOGFF1qGHYWs3Z3tqoutt94ay5Ytw5tvvolx48bhmGOOwZ577on+/fuju7sbH3/8MR5++GGsWrUKo0aNwoMPPsjdhp84cSKeeuopHHPMMbjiiiswb948/M///A9qamowZ84cPPDAA2hoaMBdd91l+0hTV1cXHnnkEes3La+zz1522WWYM2cO5s+fjx/+8Id4/PHHrf76xBNPYP78+RgxYgRWrVpl9fnhw4fj4IMPxhdffIHXXnvNurMeAB599FHrrvJTTjnFV93RscbSpf0UsPdDPzj55JOtSxeSyaTwI2Y6oH2JVxe77LILdtllF6tcdDdq9erVrvZwem9pubfddlulW82A4kHOCy64AE899RS++93vYujQoVizZg1mzpyJt99+GyNGjLB9sIq2Jb16EzDb4csvv3TxPvXUU/HYY4/h4Ycfxvbbb4+WlhZMmzYNjY2NNs/y9773Pdx77704/fTT8Yc//AFz5szBUUcdhbq6OnzwwQe46667UFtbi4ceeghbb721Yk0X67azs9NVl4B77PodQ7QOeG0GQKtNnPCa6++991785z//8fyQ3z//+U+kUincf//92HvvvXH66adj9913R1tbG5599lnMmTMH++yzj2snnM6x9Ba1rq4uq1x03NI6ds4fdPxHKYOTB8Wuu+6KSy+9FFdccQWefvppywnHrpHbbLONtSvhXMcB8+rUI444Ak8++SQuvvhinH322ViwYAFmzZqFQw89FFtssYXSeKZy0nXwzjvvxIIFC3DiiSeipaUFb7zxBqZPnw5CCK677jqcdtppkbXBZocyfNU6RoViw4YN5J577iFnn3022Weffcjw4cNJfX09qa2tJYMHDybf/OY3yS9/+UvyySefeNLK5/Pk7rvvJocccggZOnQoqampIcOGDSNHHXUUmTNnjis9+3l453/0k/STJk3ivt966625Mrz66qvkpJNOIqNGjSJ1dXWktbWV7L333uSaa64hXV1dUvlXr15NzjvvPLLVVluRuro6MmzYMHLEEUeQF154gRBCXDIce+yxLhq5XI5MmzaN7LDDDqS+vp4MGTKEHHPMMeT999/n0vjhD39ICCFk6tSpwrq48847XXw6OjrI1VdfTfbaay/Sr18/UltbS0aNGkVOOukkMm/ePGk5RZDJwLYJi0wmQ2688Uay//77k4EDB5K6ujqy5ZZbkh/84AfklVde4fKRtbuoXXXw0Ucfkeuuu45MmTKF7LDDDqR///4kmUySxsZGMnr0aDJ58mTyj3/8g3R0dHjSWrt2LbnkkkvIzjvvTJqbm0ljYyMZP348+dnPfkaWLl3qSr9kyRLlsnV1dZErrriC7LTTTqShoYE0NDSQcePGkXPOOYcsWbLE1fcnTZpECCHkzjvvlLaTX4jGmqwf6mKXXXYhAMghhxwSmBYh8r502WWXEULU5hARjalTp2rJ8+KLL5Kf/exnZI899iADBgwgyWSStLa2kj333JNcdtllZP369bb0srbk8b755pvJDjvsQOrq6siQIUPIwQcfTN566y2uLEuXLiXnn38+2X777UlTUxNpaGggEyZMIBdccAFZtmyZVrkott56a+2xqzuGCJH3Rd024cE5148cOZKceOKJ5P333yf5fN7iNWPGDCmdJ598khx99NFkxIgRpKamhgwYMIDsv//+5OabbybZbNaVXjbHUojqmI7/KGUQ8aB44oknyMEHH0wGDBhgre+TJ08mTzzxBLcvO9eM9evXkzPOOIMMHz6c1NbWkrFjx5Lzzz+fbNy4kRCiNp5Z0HXwG9/4BunXrx+pr68nY8aMIWeeeSb58MMPuWWIog02FxiEaF5JEyNGjBgxYsSIUeVob2+3rvZ86qmnMHny5DJLFCNGZSA+8xAjRowYMWLE2Owwf/58rF+/Xviefn0eiOYDejFi9FXExkOMGDFixIgRY7PDoYceij/96U/C948//jgAYLfddsNWW21VKrFixKh4xGFLMWLEiBEjRozNDvTDqG+//bbrAoAPPvgA3/72t9HR0YEnn3wSRxxxRJmkjBGj8hDfthQjRowYMWLE2OxgGAba2tqwxx574LTTTsPEiRORSCTw9ttv4+6770Ymk8F1110XGw4xYjgQ7zzEiBEjRowYMTY7LFu2DHfffTfmzJmDTz75BOvWrUMikcDIkSMxadIknH/++dhjjz3KLWaMGBWH2HiIESNGjBgxYsSIESOGEuKwJQ3k83l8/fXXaG1tjexrvTFixIgRI0aMGDFilBKEEHR0dGCLLbbw/Mp7bDxo4Ouvv8bo0aPLLUaMGDFixIgRI0aMGKFjxYoVGDVqlDRNbDxooLW1FYBZsf369Ssp73w+j7Vr12Lo0KGeFmGMGDzEfShGUMR9KEZQxH0oRlDEfSgatLe3Y/To0ZauK0OfMh5ee+01nHHGGVi4cCGWLFmCMWPGlJQ/DVXq169fWYyHdDqNfv36xYMlhi/EfShGUMR9KEZQxH0oRlDEfShaqITl94laT6VSuOiii/Cd73wHCxcuVM73xhtv4Oijj8bQoUPR2NiIHXfcEVdddRUymUyE0saIESNGjBgxYsSIUZ2oeONh8eLF2G233fDwww/jmWeeUc537733Yr/99sPq1asxc+ZMfPTRRzjzzDNxxRVXYP/990dnZ2eEUseIESNGjBgxYsSIUX2o+LCljz/+GAceeCD+93//Fy0tLUp5Fi9ejDPPPBODBw/GM888gwEDBgAALrroImQyGfzud7/DhRdeiNtuuy1CyWPEiBEjRowYMWLEqC5U/M7DEUccgX/84x/KhgMA/PnPf0Ymk8EZZ5xhGQ4U5557Lurr6/Gvf/0Ly5cvD1naGDFixIgRI0aMGDGqFxVvPCSTSa30uVwOM2fOBAAceOCBrvf9+/fHXnvthXw+j4ceeigUGWPEiBEjRowYMWLE2BxQ8caDLhYuXIiNGzcCACZMmMBNQ5+/9dZbpRIrRowYMWLEiBEjRow+j4o/86CLxYsXW79HjBjBTTNy5EhXWh4ymYztZqb29nYA5jVh+Xw+qKhayOfzIISUnG+M6kHch2IERdyHYgRF3IdiBEXch6KBTn1WnfFAFfxkMona2lpumqamJgDApk2bpLSuvvpqXHHFFa7na9euRTqdDiipHvL5PDZt2gRCSHyvcQxfiPtQjKCI+1CMoIj7UIygiPtQNOjo6FBOW3XGQ5j47W9/i1/84hfWv+nX94YOHVqWj8QZhhF/UTGGb8R9KEZQxH0oRlDEfShGUMR9KBo0NDQop60644Eq9blcDtlslrv70N3dDcA8PC1DfX096uvrXc8TiURZOqxhGGXjHaM6EPehGEER96EYQRH3oRhBEfeh8KFTl1VX69tuu631e9WqVdw0K1eudKWNESNGjBgxYsSIESOGHFVnPIwfP97aUfj000+5aejzvfbaq2RyxYgRI0aMGDFixIjR11F1xkMymcSUKVMAAC+88ILr/aZNm/DWW28hkUjg2GOPLbV4MWLEiBEjRowYMWL0WVSd8QAAl1xyCerq6nDnnXe6blS66aabkMlkcPrpp2Prrbcuk4ThItXTi95cHj29ORBCAACEEPT05pDu6UVOcP1WT28OvTn7u1yeIJuTX9fV05tzPcvlTf4buzKWDCJ0prNKNMMArYdsLo9cniDV02u9683lhXVD0+vKl+7pFdZfZzpr48+ipzeHfEFWHk2nnHlCkM7m0N7dg95cHhs608jl87b2pLRSPb0ghBT458x8qR7kC+3kLCsFKyv9vam7R1Z8F7rSWYsPlYmWtSudRTaXx7r2NDLZnPWOghCCde1pK226p9dWRzR9ZzqLts4M8oRgbXsKhBBs7Mq4ZGFlTzP8cnkzfU+vWS8dqSwy2aIcNF26p9dqXzp2NnZlzOeFtsjl8+gq9G+arzvT66rv9u4edGfMdqVt2JHKWuXpSmeRzubQkTLrj8rX05tDVzpr/e7N5dGZzqI704vOwvM8IejKZEEK9UZl2dCZRm8uj7XtKWQLfaYrnUVXJmvRX9+RRrqnF10Z83mqpxebunvQ05vDmk0pdGWy6OnNoytjtkdHKotcnmBDp9mGdB6goHWby+dtddqZzlp90tmuGzrTVh3TdOs70sjliVVGKnOqpxdrNqWsvk/lpnXZ1plBby6P9R1pq97aOjPIMvXd1mmWnY6LbC5v5dvYlbHKxY4BKlu6MLZo30oV+gftD7Ttsrk8NhXaOZ3NYVN3j1UuKkN7qseaI2ifp/XXlTb75MYus5/Tvtbe3WO9a+vMWOlJoQ/QdLSMnemsKXc2Z43NznQWuXzeaiOzjeXznXPMdGWy1pii839voZ/TNjP7gSkXbd+OVNaao62xWeh/dF6iNNtTZllTPb1WW8jk5L2jZe7O9Frzf6qn15r/6PjN5YltTd3UbfYL2udSPb1W36RtyfKj44KO046UOUbpGBOBtldnOqu1BtE53qvdqDxr21NWPrZunPoAL78MdB7ryph9kp33WD60Lzpp0vbRWW/ZeUUVdJ7UBZ1XZWDLlc7muGtrNaBPHJheu3Ytcrmc6xk9Ge78nsN2222H22+/HaeffjoOP/xwTJs2DSNHjsQjjzyCyy67DHvuuSf+7//+r1TiR46jr3kWw/o3IpPN4RdH7oJ9xg/HK5+swi3PLcDwAU2YtMNI/M9eY1z5/vrEB9hyUDNOmTTeenbP3EVYtGoT/vgDcUjXkVfPwrN/OML27MHXvsDnq9rx8icr8aujdsWBu4zi5u1IZXHctbNd+Xk0w8Bbn6/FtMfex9ZDW/HNccNw+wuf4qGLD0FrYy2uf+IDNNXX4LzDd3Llu/Q/b2HnrQbh5P3Hacl31DXPAgA37bHTZgvf/ez2V3HMN8fgr09+iJm/OgTN9cWD/n/4z1vYb8IIHL33WOvZ3I9X4qHXv8CilUXjeMo3x2Jtewq/P25PS+Znfj8ZR1/zLKadtg9++e/XMXZoE3YduxGPvrkUvzlmN3x3py1dZaU4+ppnLVmPvuZZPPabw3DCdc9ptdOUabNxwRE7Y/IeW1kyjRnaimO+OQZ3vPApDtltNB6a94UtzyO/OhRN9TV4b8l6/PaeN3DNKd/EJfe+iWH9G3He4Tvhd/e+iatO2gu/v+8tjB3WiiVrzOvlTtx3W9z/2mKcd/hOuPGZjyw57/7vQhy191iccN1zuP8XB2FAcz2O+sssi99+E0bg1U9X4cLv74x/zPoYo4e04Ds7jMSJ+22HrkwWU/53No7dZyyWru3EO4vXojaZQDaXx7iR/a36b6hNIp3N4ZBdR2H2/C/x7B+OwJFXz8KZ35uAlz9ZiUUrN+HM703AifttizNveglrNpmL9+G7j8Yz761AY10SqZ4c6moS6OnNY+ywVuy93TDc/9piHL33GDz65lIcttto1NUm8Phby7DbmMF4f+l67DNuGF5ftMYqy9kHT8T2Ww7AL+6ah0um7I4/z3wPt/10En5y83+RTBg45TvjMP2lhbayN9Yl8dbnazFyYBM+/Wqj7d3A5jo8+c5yV7vuNHogxgxrxZPvLMcvjtwF1z/xAb45bhh2GzMYtzz3CW4+a39sM7wfPl6xAb/89+s46+CJ+GDZBlxx4jcAmGPhzyfvjUvufRMjBzZZ7frsH47ASX99AQfsuAUaapOY9f4K/OMn++Oc217Gr4/eDdc8+j63n203oh+2Gd4Ps+d/aT07bPfRmPXeCvzkoIm47flPMLx/I4755ljc+eJnOG3SeNz2/Cf46aE74N6XP8fBu47Cyg1dePWz1dhn/HC8vnA1jvnmWDzyxhKMHdaKjlQW6zrSmPmrQ3DCdc9Z7TakXwN+ddRu+NWM13Hvzw/Eyf/3ArYb0Q+frzKvDKd1c/y3tsGD877A1APG47OvNuL1RWvwf2fsi5/f+Rq3PKdNGo9//3chrjn1m/j1jDcwYkAjDt1tNKa/tBB/OG4P/PGhd3HOYTviH7M+xpihrfjW9sNx3yuf49RJ4zHjvwtx57kH4IybXgIAnPKdcbh77iIcsedWePGjr9Gd6cWQ1gas60jj4F1H4bn5X+Lw3UeDEODTrzZi6VpzPMnG+T1zF+GelxehpaEWneksth3eD3tsMwRPvbscvz9uD+y5zVD8c/YCPPH2MgxqqcdRe43BnS9+hh/sty3+8+piHLzjMCC5Bs998BXuu/BAnPTXFyx+dA7dZetB+Ma2w/CvOZ/ilrO/g7NvmYtvjhuGkQOb8OibS/HQxYdw1xLAdK7w5uwphX531UPvYrexgzF6cAte/XQVTv/u9th/h5F45ZNVuPGZj3DEnltjyep2vL5oDa6d+i1cPH0eTvr2drjvlc/x7QkjQAC8+ukq/PEHe+EP/3kL15/+LVw8/XU88/vJAIDjrp1tzbkXHLEzbnvuE4wa0oz9th+BO1/8DH87c19M2HKgS+7jr3sOvz92D1z/5Ac447vbY6uhLdhtzBAA4jUoTwiOvuZZXDJld9zxwqf49/nfE7bbjc98hMa6Gjz65lL869wDcOZNL1k0p0ybbc5P3+N/XFcmA8XrC1fjTw+/Z1PMb/zxtzFuZPFyminTZmP/iSPx8icr8fTvJttoTpk22xozdB2Q4S+PzsfIgU346aE7StM58dNbXsZJ+2+HgwR6iggnXPsc/u/M/WzlYdGe6sHx1z6HO86ZhB/947/YdcxgHLDjFtb6V03oE8bDXnvthWXLltme7b333tZvniV46qmnYty4cbj66qtx1FFHobOzE2PHjsUf/vAH/OpXv9K6kqovgCoj1JPQlclibXsavTnC9fQDwIr1XWios3eB9lQPNkg8IyJs6Mzgy/Wd5m+O15dC5OmPCt09vWgvLPwdKbMeaH+hnjMe1rWn0Z7i11sUWNOeQmfabDtnFX25vst6R9GVyWLxKvuu2sauDDZ08uu+O2Pmz+YI8gVPSFfhmWpZvTwuInQ5+h8ta3sqi2yvuz9QPumsKV8uT5DLE6xs62b6t/mXGg5AcWehO2PnN2PuIuwzfrhFywnqhcsTINObx9r2NGgy2hapnhw6CvTpzhLNZ8pKveb2+qfeYgDoSJn56VgFgLZC+lQP3U3JW3/pAryu3RyPazvSaKxNAgC+bjNvjFvnGKu5vLt9ewqy5fLE5aXrzvQimTCwqbvHtVC3d/egsS7prC6rDmhd0rIvW9uBMcNaC/Kbz6gsbZ0ZLF9nv0O8u9CWK9u6kXbsyK3a2I26moTFC+DvWBbTpzCoxX4z3spCHdE5pyOdRW/Bu06f5fME2d48OlI9VttZ7bTRzM/2MToEaL2va09b/ZR6bdn2pXNOW6EPbOruwcoC3YzEu0rT0/6XyeatPkn7Ch1XGcaLSmVn+zmtt3RPzpoHqPzPFYytti7Te+5sIy/5WC8r9einC/LR+s8w3teNhTG0sTuLXpjpRNOKOWfbx1xbVwaDWxsK+cTzkWyq6unNo7unF+s7MujXVIcvN3RZfTiXJ2hPZbGpu9gfaN+k45j1zlt1m3V7sum/84Qgw+z60PQi5PKksCtJXGuBDF2ZXqxm+h4Pa9vTlmOKN/fSucYv8gSueuC1Ezt3OkH7tcrOQEeqB/2b6jSlBFZvSrnWJRX05olUh6HzXSZrplmyuh17bjNUm09fQJ8wHpYuXeor3z777IPHHnssXGH6GAyj9Dx5k1IlwjAMa7BXAgjUZVFNKVtgdbuGn21egC+rTll5xJLSji1+V47xEBqY+vdryEXR222hDhIGOiIbBpveO6NKuyYMJVJKYNn5bAolWXTHicGpCD35wqsk3nzhu9/6rmQvwsGyW0aaAh26YwkAhvbsGw68qrHU82O55uOEEc1cmEjwClQ5OkaYqMozDzHsEE0YYU7IvpXBMiKRMCCzHSJbsDjwmkP9zrGqRVAqq19935EvyHphkZIQkS1IQRZtleI70wQZF7yctGzCMc1J60lUgz8PvTlS4MdRXH3yYttJpWtyi+rKKB/vXjKFlV6lPEmuEmJCReEitt9qkhFXzmDg7fLRsusqjbqOCxX6hqE3Pnn9O5KddIZNFOtqVPOjHxlkzRrp8msYkdBP9GnvlB5i46HKQAcEHRebUV9WBq2bBMRKc6XVm8o8p6u80fSqZQ0614ZhjFEalTBJc4vDechrFy0+3Gf+FPYwjRsZR6WmlqQxDKVkSuSoLAnDI9RFkI8Hv22qmm+PbYbwhYLc+Lbe2XapFORSkkoOJxuu8cDw8/SCM1KFeejUGju+8xfRS+WSEPM77YVpjPLzaXauECEzUoj1V8fo1eUf0c6D5pralxEbD5sBSuE/L9c2rCp4E6VhGOgbAVYieNd5qLtLPklt7M7g6pnvST3pfIbiR3ynurdSwONXqX3XKZXNm1yiTTFR3bD8lZRTj9XU+TZhGEUlQoGBilJu2Gg6+fvvAzpecdXxmHR86ZVVpHhlrcQezA0JJdyf3rQ0+7u0mjVpcftW4Zlq2FKp2qcS+0G08GvEI5JJVGVHpVoQGw99GF+sbsfP//WqNI0BQ9qTq95CtsVx2F8ZHp7ISoJKM0VdFr/0N3Rk8NLHX9tDFuiaq7Slwnkki+0uvHr2/RVK1/jxxoB15bGmpuFKHaBJZIaSMI8PfnL7rTzjI4qxydL0uwPD323Sl0M1m2T64iIvKJ86H/8LgjMna1S5vMmau515jpJe1pm7UDa/OyLK666u0eT53t0mLIKqA6pjtlh+WdySEkclfm7+eiGMqnA5JapYwYqNhz6M9R1pfMJcrciFIffahNW1++KZh6gmEN+IQJYwy6fjCZZTCC6EStzu9U98gC/Xd2mRNzxoeyGsSABeHt1DumrnAPxBVEfE8V4a06zIS21nQyEN3HHOuso5L63bEOHztt5HGEZkha1WwLxGFWvWy8uTSySrvb9HUyA/ZzDYpDpnHtgiSNmJtsdKgErSdVVL73d+jVJnqaR6jAqx8VDlkA2SciwwlbCoUSQkty1VUihLoDpT2HVSLWt4C3iQQ8uMQiKizrzrLfHVwM6xZlNOQzz70BeNdb9Q8tArGhg6tSZNa7DGgDdV3hkV3eFEk/PO+7g8++w7lbAvPVG4cDoXqPFACKz60p1DaPpInDwhFFr3tr5oPNE+ve/cZ6U6MF3e9dWI6MA0D4QAh/3xKdsVztWAPnFVawz/KPcgrUTQBalUVfPfj7/G8x986Z1QA1wPHi+dCq0SKaJhbFgUD79Ge2DVSg+xkshVhGSe9lCuV6VKGPsve2otNsS9W2DnpnCuhvcsYJcytGPbTNCP7dlksWgKaInCiBSvOQ7LuOHn09vK0uySkYJVrKnINlkcwr69eC3+zXzA0EYr1JsB+b+9wIab0fJIw5aI64caXx+XBXCyeqbh0o5gTZSFR4XRrH5IlFotIoDrWzZ9HfHOw+aACnJSlsuWKWcVrNmU8gwv81MvSlc2hhm2FJCW30Vblz73fvnCX69wIEC9nCrJouruUXznQYdk1F47Vs8PyqroLBCHKfKMJBlf2TW40jMkqhUnDcsTP7POdPhpoACNyhrl9DcvpEds9JphuJ99vZFLX/97PFF3UE0nhCN92XbgOY6YSoVaH/bpREK05d8cXLax8VClYCdp0Rgxd5M3h25uQrekosnl/aXrMO+z1YHlcfGTvOMf6nWk4TyT7SoY1l+1mvF7GNOSRTdkQUKDu/NAHH95ULEeRFkVxoqTtWfYksb4s8VMF2POgsEQk/BqL0MhFMX3tZis9zWkRd4cH3zl2m+4TyGz8J9+d/WcY5Lb9hxwLzhSECHoMsCrKy9931MsRqY8x+oo1QfnZOcaolRAoyItu6K7VNqArL+Vwqgxw5aiY1ThdlkoiMOWqgyuAWH4n2SjQAWJIoVscpv9/pdY257Ct7YfXjqBFMCt2goKY6Cw3+GvotkoPrNoasKKjiEwDLF8SrHtuiemNQeEl5Jnu0JVi7I+eGUNba6xlSMcmuz1rzxerh0oblK3MaQTUmM786BZLhXFTnSblHc+3fTuDM7dD1bpJo53urH1Vh2H2KlVZbjvlc/dD0u0kKnNOX5pc575I+U7f/Ba9GmcG0FC4cT9Rjqmq8xRG+88VDlC2ULfDFFJVSOakFTmolBvW6qAOqEiyM48+D2IKoPKzk9fQNS3Lam+V4HV71U3ALzSaSoM0rFjMwK8ofu1b9ltVe4wO8bAtZ4pCCXh653OO8zL+n4asyXK1qlrl1QSbhjZWJOEUVF0Z+yx6mGogBs60/jHrI9DoKQHz2os0ZymtIurKEvpVXJvwXTPRPVFxMbDZoBSd96+qFTxEKajwLtOtIOqFFOJPYS6N78E9QATieLAA1ffUljsZQqyircxyI0jKgpR1JC1k+uNVIENrx4807uYFx+GVYMJznVL5k1A+nxsNRO+U1zeA7nRb84QsnB3tLzzq5154MkldI4wv/XPPHjD7A7eOzV0PuBtfvg9d/b1hm489tZSAb/qh6yMun3R9/5Ble0ElBqx8VBlcA4IQ/d+ws0MUkUrrHoLujAHIaCipCuStxZPv9vkPN5cTciblmziZ/m4ovgijvPllzF8eH1nQY8WPwZa1/DR9a6rGnlh2l+inQdeP+zo7gmFdhDIjH9u+gqa6w/aeZTrmV/5ctpXvPrjwwO3Xxt2g0IXsmy6uy3+i1r+zsIPfSz8LeuVFMFgM6bLKEeUiI2HKoNs65eHKIzvCVsOEL6rpPvpw/R+hAHRYhHo67chIrAX3Yp3BuRapeyV+TKR4IVNFLyIildsyh8CG7syYkHCgqijcc4qRT12uNUmMlJCFkWqEIdUbttZFoakiPfydZ16DKSGklZy32d6apIJF79S7H7ZQqcKv+tqEhjUUm8+NByjXnLfAQ9R7Dyw0DlPYnsWAR+/CKOdS7Y+V6tGXQAvlLDaEBsPVQ7D48B0WB+FUb0NZLNERLOH0oKnSEtl0fBbjDCvFZWFLQXdGXHixOuf90jB85ppGi6acNKQjV+uKKF6ZO3eV6+5xPdtWxrZeKFx9G8CggPTEHj4tcMnSqQm8AyRQiG3HtoiSuKHbCAQiM8mmVFpSrGS5p8QDaAoWilUmgGIeV+oICdeqp0rpe/HVKwzTH1iqGZVKDYeqhyl/FJyJRoN/CsYSy9HqapG5Wvi9Ke2TEE3HoJlt0Eme31tUpjOO1xAPRwhlH7kk4hoXHt5R7W5aYQdBVGenTlNp4enCHow+NcNk+Jrhwzln89441YWHiXrTmW9IEPBsneHGBbrPx92XxDw5MFw7pqoZgwB+rdgeaepgG4NzsaxT1SmX99+npBdWaoHsfEQIzSoLE6lNGaCYG17Cp+v2hQaPa+qiWpCd7ZJEDZFpcXnTgI3dCP8yd8KlQgRquH8pdbPwjxnEAW8jTUFGgFlprl5B6Zl8nAVHIXQJOVY9RB3hMMwdFQpvPbpKix0fMyNd2CaBbekGs0a6nkSulOmWGdWP9BV5J1/NW+MUA9XLSinlWAVcHfFdEmUZo7yX18ak0gVIzYeqgANtUkcvfcYAPa+6zU0ojpUJr/tpW+Mrs50Lz5e0RYOMeU5Krq6sa5+ZJ8xgpViG9m6I98w9Ghx0squatWFs+xBSDv7dygtyqksHRlVk+p8o4J/8FzCyUOIUqk9PCXUAF/2ilDGfIJtS9VyEKi1w50vfobPV7Ur8S5IwPzUq1NKKZfX895GE5rEUNX+wjT9EZ48TmiHBfaNpdgDlT9G+/I8IkNsPPRh0E45sKXeFqqhCgISmse74ieiSpdPAq7HPkhcLI+H0pmHPlyJErhvGXKnCeI5lS4eAQdguZYl8eH+EHkEpObeSdBU+GTvNA/86sJvt4g+ijt85mohguWfe/hniNTl8nPzofaHBAM2ZMlqWXJbVV+JTlBFcWeozIKEjNh46MOwviYqiyMtocJX6RY2V77yr0kMxPWnXLcRlscZlvHW52vwv4++r0FAMR3dJZGFdUg/EkeY34o8w0KU/CIuiy55biy4k6ZiA0h81cGvrGQW77yjE8vmxwHN4vA3vkHP29XwNydakTIqirXiMxXo5pu8x1Y+OfFhANh3++EYNajZ9jzUj13y+Kp8tCwoX8UbeMrqpCkR68rWFLzgT/oKsH9DRWw8bAYolVJfCd4hFbDhM5UFiRHo98aiCBfdZWs7MW/hat/5w0aUX0/2HS4RhkiSeHKZ4ii7Q12WXxs+DQTVDH6VKZXyh4kibVZJtDMMMuMohd5bDqVgPFQxpLUBLQ21tsy8edV6whhyIhHra5MY1Oo03MJrS94BVh1HBRH8dvNx/oBSBQc8WqaMcq7WY4a1Ct9pj/e+oXZUHWLjoQrAboeqesTKhQoSpcT1YvIa2q+B+9aPUuFa1AjRIqR9FWXQg6tMdrkCpEQtkCw2SszYcdWJhE05PYTCj8R5hFxJZeaGEGjIpJHWM69hgKd7BYHw2lBhXcoUSkWmvuOI6K6OGgEVw0LFWaLrUOFH8jgNGL7H3WXIKh0iDheuCyVkjgM9G4BPw+Krlq+S1suw0NpYi/5NdaHQqjj/nwR9SVYVxMZDH4bSYqB7D3wAVJ4nv/LgX5fwt/AXP5wmlkH1AHN4B6aD0fGSRckb6EXfZ96wxpTBysC5XlQFYaQPIySpUsCGLZUqrMfKx7siNtLq43nqi88CGXqOmDJDZrkY5v+55hwY6ExnubQNsAZ9eLtOPF7ufLyE5h/2sH3f6vlFeFVL8HNGiruQ1q5iMJRnCpJECJRQinIjNh6qFKqTbpQKf3t3D95fui4y+jrgrglVZuwQQiKdvZwK0JwPv0J3pjc6hhTlPO4hCcXgyxCOFF5UdGLpeSkP2HELLXlcNDW99UFGmso1nYNa6vHO4rXctPSJ9i1fmtA9o6PzkTTbT8nukuy62HIpNuw3Oyg6M72uL3iz7UTzieiFDdn4dt3G5pOHX2P+tBvmYENn2idXTZ4l6CSe9Sfpw/4Ilg/VdvibRWw8VDHMaCb5CIykaxdYvvn5Gvx6xhtRcPCF8g5jhQN5EUzcsts3devDSWrxavF1jdx8Ebt7fcd5K8Uh8zy5mjJoVriVXBJL4fcMQ3NDDWqT9ulfx8urkvTQPz6Ftq6MWDgvL6iPBpVlMZVY906ckJYubxUZFGlFPVcpe93D5uuTV1Sy6ZCVzQHKzjr6V6OBV29MoTPl3qVxyhCjslFthkRsPGwGKIeHfX0H31NSCc5+5dj7EiKMWOPIeQYOW2JpaSiqis8MgUIdFaJkox5SL1NoOOmJHn35daXi25bos57evCInCV+NcDHb92Yc9WBAvvOg1284Owkhdgj39cFsyIybkcZRHX6OMCZmLRKS0A/J7pH5XoePDmc+dL5Sb08XLESOhcptU5XrqNccdEG9WpGjApSYCkBsPMSIBCf/3wtS5eXlBSvxzuK1pRWqrDALHvW0E+U8+tS7ywLlL95yYjDPOAl9VlKURoNfA5wI/6GRt8Jdi5Z4ATq3s4T2j06GgwRvJ1ZGXJtxCIqQhKIKqeIZp/D7TJ4Q62NtRX58tHVmBG/EMEX2CFmy8fZZRtZ55CAhOzAtawvP+cF1uYVEPM7LXF7VCJfLUQkzSZgyVIIzcnNFbDxUCWQRAaKFpJwHHh97ayle+PCryPlUgt4VxnalmuIQHnh946l3lgvflRrRyEDc9SxVLnlef45X2G+cmIS2kJSH17YoEy8G35OUJ5x2RHFHwGfMP0Jsa07sve21Tw+zX0TUhYVgi+dH6bpn7iL86eF3xcY/8/sHf33eg5r3zVeRTTMhOif8Gmv1td6qFyFFnr3KH7oIVmmlmtul/a/8y0tgbA5GTWw8bMZgHD3l4V8BSmipix91iVWuBAxLhglbDgiJUumg7K1UVMJLAtt3HuhflTM0donD7utq9PViwe307RS0rxa2wkaKO17E8U7MXUBT9zrRoCE2IRzOsML5gomCDZ0ZrN2UctPXoKGsAguMznIadKofeVMh3Nqod1Wpyu1y6qGOlGb55jiV25Zkc3Uun8eqTemKcA7KwLssoFoQGw9VAK+PWslvkghRDp20RmU4GCpBBgqRLGEaWbw28tsHdtpqELZ0fAlWBuViBI5p1iPgHB9BvEauA8xhtB1vN0OU1IO39Kv0ges9PBgsPapoqOjRHjsLUTosdENRIpGBI0uYY94vnFdGy8ZYqc7o6fKhzv9y+NuULnUo/L3xmY/wwGuLxbTCEYkvQ4kW1I9XtOHXD3xs/qOCvPzVaijwEBsPVYBK6bDE8TeGiUg+JiYKRfPgbfO3hhBGwyOxqq2bn556gCtosmfhdZBe/1AqzWdw8weChJjzoCZ7w4tzjLJKrfOaU+8wbnEC3R4vS69yVasKbFe18mwnp+GnWYoSRyHZUaYxZasjV9iXJIRPQA0QGbZMyF7QsmqErpkPqQj2caXMjogIK+R1GF3eMLB4VTtWOK7BLcpS/tU59K5a/iKpoULXPb+IjYcqRZDxFPb8ks3xD3tVwDxWkXAuumF74sKixgt7y+XzuOW5Bfz0nPaWFU22vV4OqEgh34ZXh2ebKxDjhUnbPNKG/a8srVwUGhbkn0YkcPBOGBJDhCO8/nWi7gyz3l+hlE6HN/edY3dGxqE2mcDBu44SkfAP3viGRjgNsRu6ND8lHd68Je6v0ny8M0eKA97wSsvN5q9FVJeLSphVg84P5XJEXfngO+VhXEGIjYc+DJtH0c+1NSWaPb7/52ewxPFNgNJtTcvfl0IxDXpgOoiM0jAO5mYTXzyI2gIc3vWY8nw6d/jz8nGhG2cfUn/y/2VdGQ39fqg0TIngt/ufYj40PRtX7tPT60JQq48D7ncSOLS+XN+lR1hIVFVE7xivkQOb0FBXAwAYVQg7NIDQbr8La0b1GgNhzCtKX6Iu9M4wyhV03fPalbEe+aYf3k6fkEek1EuDVz9dVW4Ryo7YeNiMYe6muiczv/ObLFumN6ecNgpUivdaBvkXatWeCWlHNGW7DjQStYVbmkYjvjcMsN8rcI2HEA2fSMKWJDLkw1K+fYC7C6FFgL12x/0oLLAyBaWv+rV1q7+VcUqiRU0k7Iqx9jwZgvFvXeFcBi+yijJPkyhfeOQToZ5DkoZmyct8+FVP+2SqjkoNXQ0LVV48ALHxUHXQPizKo1GiRa0UCr2NheF+VvIP6ImiJgxxGp1a0rqcRSFkSMbDV+xvhOCT169MVQMoSrD9ktOF5YuTwPns/vCYXAYCIkwjzFrg8Qr1zClWpGyPRCXum/uxPGV+gp6j2QlufPojpXTFHZUQO5ljbuNGNunMDYpQ3u929Ek/0y5BeZ1ArEfeTz3ZNugk5ShVEcup4Bb7abB6KPc8rYI+IKIvxMZDjPKgQkzzkt2CUgI2slAeijCrXfWqv+JVkZU5jbrqyPAva6hb/k67R0n5KyaqSUgONJOIvH8F9l84whRFMgiyOxQtDfa2sCc3LT7C2QnIqnzIi6nzL1Yp1JEqcx99hYXyuQReXpVrgyX5pfQ5Dp+g8B8qqZeRLbOS0e/iJ6Ypg1d7hBYOqIgSbWZVBCp1jYsCsfEQI3SEpZAf+senXF80DRNl2Tr1wVMnS6nLJI39pmkU8jgJ/Oz2V9S2PziPfPc/Gj6hWOP8q1Dd6YI2CS//diP6e+bbvvAdDhF/1+1Rzp0KGEpf+rWeST4851UHUe6A8g662p7pnOqVMhK/4tXNjLmLQmDqDZ3d1SiqwTBUR5T89i4DZdgpZrDH2CHWb4WoQRv8fmtDZa/Dd2RTIWO6pxczX//CJxV9hNmC1R7+VMmIjYcqh+5WPxDtgPS6DpOTIyJJSofAV6IqPgPc7e1MxwuB8QvzdhR1Kjptv3DlJn9CuVDe1SWU3msY7B+MHdaKwa0NYVAOBYTzW/smG/qXhrWg/F48v4oeN4TK9wF4b1q8+vdbd1653AanNx+lL6NbacWy6J3xCicNi4a6Gkg28zwR9Uxkrztx6QzHfLJmUwq3PPcJAGDXMYMjk68om+gf5cXqjd1Y+PXGUGi988U617Nqs3Ni46EKwCpwKp7PjlQW/35poTieOYIBTWm+sWh1QSYjEj6ViHC2bXWvvREjsNFg/SWcOPoQG1USsiDdlNBlo3hoMmjZtL2mRTc5+8f8Tc8BOPOEGjWlaN5HEL/N39nwR0sJOhY6RGcy/HmHJ++xlVQ0HVgyBNt8k8Lz+x8WMW3uYloRoxQe7DCGplf7GEbB8FZY23ldpVSefOlHAksjgguPvrUU//vo+6HQWhSa86tyERsPVQqZB2f1xm7c83JptsydaE9lAahPUqGFLth+90Wrxa82ECl1ATE+NWXl2/fq4a8UuiEIUgkk1rvfm2zsi7t6fLno3yJZwj3Aywlh2ky8BWEUkzj+8t7ZoDBmVObcsJVHwzD0wqZEF0eE2HdUww2LMolvGlDq07ywOV4yj3+rQK+aKnM86u/4VV45Nodwqth4qBLwho9h6HfiqDo9n67ClneYMlTCxmH4jnnpE5kIwe8c10xP+cIIrAz4PtYQYkKl0AjPK438Gjz0kG+YSpVG2tC4muDdLbVsLf8ruTKoOglceqnC2R0AmL90vetdJPMK//YDSXrpPz2z89J8xflGhZJhKnnmld59Q5h9Vz1qA1RaxWUwfnU+KOj10Uev/KVEwA2yPolynteJArHx0JcRQl/k3dMfJdhbJzYTR6QSvBUQlXYiLoXJmcwQ/PYLtZAfR5qSzqH+OpnfrinL53fx0NkZ8UrDu2mlEpY0l9w2pdEetrXb2MEYObCJT8duPfBps+80G3r1ppQpnpikNqQKYgThR3KFtPjurpc+U2CkKo9KQsccp0ZaG7rfNnK9ilgJ5J+ZKb4V5gtjxysgjT69u6i6MS5rfmrIcWaIPl03HMTGQ5VAdM9Jqfqr6sCwBl6VWeEUIwY04uBdRtme6YZouQ5Ecqp2xn8XItOrcDWkT8j1C9q3CPfGHmFWwv1pYWg/xyHgCBQnpXwBuqbMc1ouGI6/xRf+ZRNFlzhhvQuxGlob6tBY+EKyxYe79QrvNHBXg99bu2QfOwuzF8gNg8Jfr8Hj8FIXZZZLGn1v5stNwMiqREamZBPbXy/Y29OfgWPA0A6v8aNsVsB04wmdQ/Nq9EpbaKUdPDBzQZUZDRSx8dCX4aGMUciGlvNdkMnH/XFe+aAJJezDB9gbXcJGc30tGuqSodN11m2X4tdsZTezFGn7P7we1g0o2wzvhx1GDfSmYXnOyz8hq4WB+JdTFuoRBaisu40djFGDmgPR0h1bjrPh/DR+r3Cy0fAO9hMeRvdi53M3g0vLIYtuPhZyr7q79EHhd1713qAMf5c82psF/e0S8M4r6ociBaucDZ1pfPpVWyAaIrCSfckJjSsbIrZBKsGRFCZi46EKwO+Spe+oqhMiUBmhEpUG2dyiGq+s4oVxOhllC82CL9vwyBtL+Py8RXLIx9uO53gBHcm4ChTvke9QDb/glKfMRg0hRPEQp/hVTSKB1qZaAIpePbbpnLzLdCYDYMQqcZPosotEqVANJ3LsUHse0ZH8W8fYlc51PNqKjjIViOiqEwhu0OmWQtY+Ol9XV52fXvjgK/zu3jcVpZNDZtCme9ScYHL6IQ3w8vuj+hRi42EzgHAi0bx1Qga+Ry/4olgtO34q4RvheCy9dxp4oogW84+Xb8Ddcxdq8Peeg1VDXqw0TCKZomUpHT4rkg2N8Iu6pHvXyS/JqGNkRXKp1IGXh1vl44GydzwR/Hpfo55CVJSXkk1jCmV2HkL2gy0D7kypwr0zHp6hFYSWdlaVMaXQFp+vasf5d7wqZ6UonN/wvKihNP9EFD1QbbsDUSI2HvoypP1ccUIIaayoX/3IMKywSauc8Lw7PcI5TRa2VFeTQI/jbEVRSdfjo+zxq4D5W0Xx5JXhiD3td/bz8n9j26HS904UQ3r8G0Va6UOMl5LXn9hjqtLftxrSgv0njtTgqFmHIU5Pfj3nYYTGKe1G8ow9XtiXBm/uG4VQnuIFAeKdyopB9JapDRs60vhM4UNmlVZNOtAxavpSMStgWQsVsfFQxRAdlKQLhZf3UJufRl7DUPQ6+5amQiELrSkRPy0+Ho0quwM9GGN+cr/eZKVdCead37ZIcD5Ba33RtfDvXbYejJaGWk9aurfCAJqKqezfJR54alOH3h1Hzvpj/yktHlVeuMqrm7ZLOZf0MdUp0u/Be+XdN6sc/Pw6cB5ktu1oqtBVZhpOp+QppyoGVqBwpz4QWVNK5bYvGze6qNai1ngniVHNiGLC4HqsPA/DaRDb7BCeC9geqhSs9Xm3LRVe4LXPVmHpmo4CHypCadoyKBee8hP2jR5qW/PBwm7kdpxMMdbkoyCDV/3JlF7eEwMFB4Tjpc3Dr3DjThhjy3luQJ5Wbe7THisRTOR+Q8/4Ow5qPEW3tRGm5tTqTw1qH85zLl4V5kN2GpoaaQMmCy2fLmwhkiX36XvvtqnOe30ZsfFQJQhrO7eUunpJ7QIBr1LJoDOFBJLJqUwFnc4l52II4CoYTf3h8g14a9Eabj6R0RK4KXxWnF9dgL8zopCoxOD66wnvubqwyh50qliHWBGV6k/Iy3YcVHc9JCgq5+LtRN1LAwzHfoERQD4RVMeXdBOT8HZJSt8RrKs3NSYNUrB7VPst205Og0yJq6Jo3uZz5Sq+9jDA0vYDvcjHCp2sQkActtSHYU38tmME6l6wUvZrlzyGUfKwJbcDKdjk+PUG9zVzIpLByhHeJM7KIQprc6cUE+N+DEdJDo1+ysvPyZeXKk7id19x2rGSoNX6atEqJt0A3coewmH+S9fLptr0QY0FrznR9aFMBb6DW+uL+TXKrb7jSmVgFEnpThL96z2u+I4m/i5XZzorl1MTm1I9AMT1UImqluzwvvIOh5VP0+hwPpPnCH4+ymmxRQR5NYTvxCgn+oKMfhAbD5shZLfXlGpH1m/sbyXhjJtecj0LtmsgyqxGlLsTwO4SFKDVxJ5nHmTCeD6y0/L4t8nPKNCShaR4MHJgfUemQDOCiZ4huM2IfoVfegJKQ0VCHR+Gm6bPCnG3pUc/8vh3WFBR3lTqdEi/RjQKvudS6imLVybe+DDssR5KOHbabDsNFXkk77rS4qs5+6KSFe4Bbtmcpr4GsGOtN5fHq5+ukuexdoSLz/piW1QSKi2yLQrExkMfhrVAcOYVv9ctRg2bXEq3KQSTMuzbOVI+7qUOYx5RoZHJ5rBkdUcI3NRA22Ym8x0I6bWqyvv2klelsibFQ8sXHQCoTRan25KFsUG9DPSsd6g17LfJfRwW12AXKqIMTdCm7FsUjgEi3eng71QEEYEXmlMRV2cqnU/SI6kbwqRyRTUrKH22viONKx98h5OWB7W63tiVwRNvL1NK6w/UQdR3wW3fCujKYSI2HqoEYU6yYQ1a2VV/UcTWqkJHAV21sRvZnHlV6YbONI6+5tmoxLK0I7/KyLtfrLVkpZAu7r5j/YuhEQaAW2YvsL93MHXeuKIeL2/isvvfVkpfHAJ+t+zdvEXvAaClgXdkLJxdBdE3E1QOHquE57ChOfS37aYoo/Dcr1JklEYBKJYjeL27vpHCJenPOxyFzat4cVgxxCaEUBYC2K52Ni9NUNjNcT1RUYb5z1RKoXpZgFOKMNuwuOvrzqjbEtyPaSqAF8op7g9qtBevbseNz3ykLEOY35Pi0w+PVlhgHUXViqou4dKlS3HhhRdil112wcCBA9HQ0IDtttsO/+///T8sWbLEm0AfgvNmFt0BlcsTzHpvuVaeh1//Qo+JH4Q0MfhVyKfe8CJeX7gaANCb86YRyIYLOAvW1fDDKFjYvHoBXSHcMCnVcKKg7erTJduV6UWXRxy36hWpUw/Y3s1FQS7zvGX0biipKJxQhURAmTyzK9aNkL6DjOFxCpUXsudF25ZfsZNFcaOKjHOoipeEk25cv4u27byGPyrFGH6fQnAQbv3J3umYTG6a+mIWbyGjkB3id3MMwruQL5S6LY81EAZX2s95V3ZXG6rWeJgzZw522GEH3HTTTTjppJMwd+5cvP/++/jFL36B++67D7vssgtef/31cosZCLwD07b3Hqs5e9VmuqcXf33yQxk5F2597hM+XW68LX2nh6AD2n4fe/j0VaDiwQ1Dl+Q7Sgvb3sHJcxmKFCc/9RrYniD2v87fAPC3pz7EtY/PD8jJRE0y4VmvQcoku4ZU65sqwueS806FXSXh3BKQt046WYiMld/nAOIZGEqH+W3eeG/5/ELNGHUrf6pQ2jUgRHhw2pOfkLy+zIbjr19FVbersHUk2qnwMjSDrn9eN9W58hXS5x1bD/I6C+/k0XYj+uH7jg9mRoVSR7ZV4EZHWVC1V7VeeOGFSKVS+N3vfoff/va31vMJEyagtrYWZ511Fs4++2zMnx+OItGXYBtsIQ08rwFVvPeYEULlzEMfG6mlDk+InLkHdO6C78q4FZAwv5qsoutle/PI1uT5aUC0VyKVbiwj2VIvnoKL4QXudyKvepAzIc31tdbhcS8od0nNdMVdBVniaPq57g6CM73WTXce8H8LWXgysLIcO202Ju+xla/lwu/OTCnON6lwKLUXWfeWJVGYqPmuMtfYoLtaMcqPqt15WLRoEQDgW9/6lusdffbBBx9g/fr1JZUrErAeyXDJVSVKXT6ZB5cHv4etVBRq9t8G48pzLjIy773HXr0Q/6RnIwx+slIs0aq2QfH6UT3o9q1vbDtUM0d02Hpoi+3fQQwEp3dY29vLSW9I3ispSXoiKCOasCW3tCLvtnkGgXim1d2d4e/KhAVOaKBasmgg4bPr1oNLIkK4SrxJzHnmgUDtjApLI5gEfQfKtdLXPJoRoWqNh1133RUAsGDBAtc7+swwDDQ0NJRUrqhQvMKyuhD1bUt+16ZIdhh8vywkUZQprPVYt21yufBCqKQHG5nfQbe0g4dSMeEZHGVMRaHT3Sl0Hfzl/COqG4KkZ16ccpVosuIf2JQo55pyletDUDylXu6h9rnL58hn64IRFl3SixXySvohz9kmIe/+OJ2mVFx+ihO6M25JBY4D7W5xvGlVgM0mrVxbG4TUB8PsyrwdwGo7BVG1xsPNN9+MLbfcEldddRUefPBBpFIp9PT04LnnnsMvfvELAMCkSZPQ3NxcZknDgZ+FQZTD39Z0RIh4XQ6bvJcuKPQehlCDvMNxulvgPAg/fCeiLeiLtq/sKm2nh9c6SmtwGXTAUt/QowMDUDRagwsqU6pk8d5WmJPkHQ/Od+EYtCEQcdL02ykFY9Pgvwr0lXU/eXXzhFG3uTw/XNHGx+fbqMdqcf7yZpRMGNZaoLPbxIZgBi2O93nLgAwCotz8qwFVe+Zht912w2effYa//vWvOPPMM9HV1QXDMJAvTCC77ror/vWvf0lpZDIZZDLFGOD29nYAQD6ft+iUCvl8HoQQG19CCr/ZQZ8nVloCYv39cl0HthjUXKBFrWLTs8GWx3xEPMtH31t/CbHJYNGn6YnJo+jdI67y8HjmAtY1YWZDyxtg0SQA8S4rzVdMR6xyOPOSAh97OxGbHDx+bBrCKbNKm7jlLPYRazFxpMvn84Vn4LYF4dz1R/OxB+7Z/kAAz0XOebiZoLhg5ay+KPYYS98xMlt9nW07waeoCbH3TbZcdByx4LWHc1zYdx6K9ebiyUHeUVZzvDqO57rCzYrlK7ahvS86y2OVlS2/l3xsf2XbkDiTMfXg7GOE/c0fT+yz4lxT4MPOe5KDIaRYGFsb03zmPAmmSh31YZOl+M5ZfxYbSQAhX0xOX7b6LaXN65P5YlkcfSXHaXN7LGLhr+T0sVFIlMvZ+zIrC2HnfVd/pXyIqy+z/JxjhZ0rneViilqc2xT6DFsO+1pHWRHb2OSNUWveYGVwrHW2uTfvlJ1ZNzjpeXNHnvDnE3u+nI1f0jDQm8vb1nUrPdPMOcc7cx1g+RjcunXOLyzyTH623O510r4uOddLSku05llyFv7fj47AXad9rrMUzme29VZB1yg3dOSrWuOhra0Np59+Op588klcdNFFOP7441FfX4+5c+di1apVuOiiizBw4EApjauvvhpXXHGF6/natWuRTqejEp2LfD6PTZs2gRCCRMLcMNq40TRmcr296O7uBgC0d3RgzZo1aO/oAAiQy+XQ3d2NH908F9N/sicAYENbt0Wzu7sLa9asQarHnIBS3d3ozfZizZo1Unnoe/o3lUqhN9dbkGujKUvB2AKAtg1tWFObRVdnFwAg05MBIbDx4fFct24dMtz79NWwqSBDLp9HZ5fJe9369TB6OpFKpdGTzXqWddOmTQBgnY9JpdLozWa5Mvf2ZpFKpWzPOzo7bYs6j18un0dXQb6169ahN1Vnvcvn8+js7PSUky5obLr16zcAKLZJLpdDKtVtlWvNGgPZrFvm3sIC0dHZ4VJu1qxdi+b6GqTSaWQd9dCV6UVPpgfd3d3o7TX7Q6owVrKFf5t9sqvwLlWot15rTK1du9aSz4lN7eZH8NoK5WFBDf2OjuKH8tra2mx/s9ksMuBPkJ2Fdsrl89Z4WrduHQCguztllYeio6PDpSZ2dHTa6iOVKubbWKhvk0++UJ528JDr7UWqIAMtVzabRTqdRm9vL7q7zXrLOmTq7u7Gxo0JbtkBYtV3KpUGCEFPTw8yaXORy6RNPj09PchmC/NBIb0T2d5eLFu90eIJmG3olLmj06yPrq4uV99/+u0l1m/a1rTt0+mi04a2J/2byWTQ25tFjgCZjNlnenM5l4y03ql8Zv2Ze3z0WWdXJ0ieIJVKIdubtcoG8BfSzi6zPJ0dndaAo/Mc4ShoFLRvs+OCIpVy1zHt35ss2gTdXYU5vjAGOgtzaS6fR1ehPHQOYccO7SvpQpvQNYGto3TGfVCePltTaJNUKoVsNos8IcgV6ru7uxv5fA65nGHRpLy7u7uQy+UK60yBXyFfT7Z4eQKdV632TWfQ09Njk5PWe29vFulCn1y3zszHmxfpesad0wp8stke0GW8fdMmrFmTtNqSlhUAugp9uKPTzNfTk0GusAbTet9UaC+W38ZCPVjzSi6HrkIbOucJnnydXV3YVGOWo61to61u2Xydha92d3Sa81GutwddGXMN37AhZUuf7c0inTILvbFAc0NhfiCEWHLROYpXt22cslJ0FPpmtrfX6tdtbW1YU1ds73w+b+kBGwu8neslAKxftx6Jnk4XDzOfWQ/Znh6k04bn2ugEIXl0OdbU7u5u5HpznrQ2bHDLTNGeMstJy87qHRvWr4eRqXPlqSSwa6cXqtJ4IITgsMMOw5tvvolLLrkEf/rTn6x3u+yyCx555BFMnDgRd9xxB4444gghnd/+9rdWiBNgLhKjR4/G0KFD0a9fv0jL4EQ+n4dhGBg6dKhlPHzVZf5N1tSgqakJANCvtRXDhg1D67IUDMNAMpm03g0bNgwA0JE3J8hEIoHm5mYMGzbMugmnsakJNTVpK60I9D3929i4BrU1PQCA/gMGAABaW1ut9AMHDcSwYQPR0mIOpPq6euQJsfHh8Rw8eDAGNNcr1REP/Veb5UomEmgphKgNHjwYwwY0obFxJWozxLOs/fv3t/IBQGNjA2p7+DInaxaisbHR9ry1tcvaxk0mElx+yWTCCqEbMmQIBrcWz+IYiQRaW1o95aQ6C5tu0KBBtjIkk0k0NjZZz4YNG4ba2s/R2Nhgy9db8NK1trTCGewwdOhQtDTUoqFhJep6is8Mw0BHKovaui/R2NiImhpzoaTnimpraiwZmprMsjYW3tXU1KChvt6ixcrMol+hT/He1dWZE3NLa/HgL3UQDCj8ra2tQ30d/3sYzS0tSBgGkomENWaGDBkCAGhqakRtoTwUra2trjCQ1gLv4rgo5htQqO/m5nZrDPcXzCM1NTVoLMhQX6iX2tpaNDQ0oKamB42NjVY6Fo1NTdb4o2UfOIg6SQw0NjQW5GqAkUigrq4O9Q31dj51daglpkJC0ztRW1MDFMpA66qWI3NLc0vhbzOSiQ22PvbpyqJiMKDQnkMKbd/QUBzzdB6hf+vr61GTzsMgxOKTTLrblNaNJV9drdUX6bPm5hYkEuvQ2NiAutpssWwwxypgN0qs8rS2wEgkAOSLawEN1eBEbNTXNxT4NSGZ7ARQVNZpW7IYMMCsD0rbSBhoai7M8f1aC7I0W2VvLpSHjis6PmoSBpqaTPp0fNUwawKtI/qOhTUe6RhobERtTQ9yhCCZK8qeSCSRTNZY5aC8m5qakExuQo6A4We2U21trcVn0GBzjrLat6Eedb1AMpmzytPS3AIYQE1NrcWHzse8eZGuZ9w5rcCnprbYH/oVxma/wnrR2NiImkJ/aGkx27y1pRUwgLq6etQk7X2/X6HMLD/ap5tbWmAYCSSTSbQU2tA5T/Dka25uRv/+ZvkHFMZ0fw6fxlRPQc5WGAbQ1NiATL4Hw4YNQzc6bOlraz5HQ6NZ5gEDTZqWE9UwLLlaCjLz6pb2Td671lWmLHU1xf4wcKC59lMkEglrjqa8WVp0jA0eYq7TPHzVaQ6y2ro6NDQ0eq6NTiQSCTS3tNjyNTWtR01NtyctnswUdV3muKZlZ/WOQYMHY1h//nxaKdA5A1yVxsOcOXPw5ptvAgAuuugi1/tjjjkGv/71r3H00UfjzTffxO67786lU19fby1OLBKJhLX4lxKGYdh4G0ZBBsLenGOmMQrXyxmGYcXT03z06jkDBodmkY8MRVo0H3MXtmHnBwAJw+ThTGdLw+EZtK4NZkG35HLI4kXfnc6w6tuZl61T2zPmmxw8fub7Ih9XGkE+ABg7rBVL1nQgmTCQyxM7b4fshHlmGJSPYfUbikRBIzY41xQ6+wt9RsttGEbhP0t0myyGYbB39oIK5pSVFzdL+27C4NQFS5/Hs5CECOJx7fK5ZXE6lPkfk+OVgVaEwR0DfDD1x1akUegpkjIU+7m7ror57KewSUE+i03hh1A+W7l40tv50TYXjjXOGKNwzjU0uUEEzB00i2IarvIX65ZpX8nlE87+5PwtymhPL35HQdvM4sfI7vrLJyqV2dV03DMjhXy03gvjgm1Bdpy7xq31zrCVwymLs6xsm7LrmsGMCZYfd90w3O+sOY2RJcHUDTs2DcNw1Y2RKMzjhru6uLLwxpqjLWx92imf4W5z7lhg5/bC6DVgn6ed65FJU7x2y9ZGXt0638Ehu2udlNWDY53mgZaZSq6rIxDilktVH7DWIIG+YuPD0lXQq8oNHfkquyQ+8c477wAAhg8fbnlenZgwYQJ6e3tx++23l1K0UGFbC4RKiBiiw3j8p30TsrIQ4q/eaF4evMipfZRJT5btRpqeoKP2GqOUXrfELt2IE0JtvZPUuL+a1odu/fUl3n7qUCSSzAiRZhTR4yqgzG8FesRSoNhn3hl5pbDFzmvk1/1WAh3Tym2vUg8a72RpzWtcFWSS8SPyf3uB18V47cUa+M5nYYCSCmOIBp1DVeHswvyzPeafjV09rvM3SsQLUBZRMWHgfqeSKMRFJbIrWHnGexWgKo0HClljUQvryy+/LJU4kcLV8dl/C6qBkNIpdC4oDqSwxrP43Kc6gzAmF7+3p6gYHbU1CdTVuD0fbhm8oar08a4ILoXyrluPOoqr+Tu8QvCVJ7F32ymPjii2A6xeaW3yiNL41HRpv4i4M+hQJ4LfvviyfUWDmvoXgsU0ua8ULAq/ZWbLJ5NeLjNRTlPkq0Y7TMjY8M6bh0FXiZ+GAdwXdNTQmtMnnSB1pC17Ob1ZEaIqjYfx48cDAFatWsU9dAkAn332GQBgxIgRJZMrMgSZLByjKIoPHgVB0DvUbaVxlrWSihqGLJoe1sDsCHHTs9mszlCKEHgGJ+FrMhd7cOWF8rtucPsm8XgfNuSaYqSsvIrnVMKjWZ7dVHV2BHTQJPjSOJForPSfBoe3riz8nQA3MRcfzk4RD37rplRTtA4f+y6V/W8Y8NpJksEWyhaAT5SoVF063F0u9y5ataEqjYdDDjkEw4cPBwD8/e9/d72fNWsWPv30UwDAscceW1LZSga/4Tg+pxTlLX5NsaKYaELZtpbs5ignduYVSeYhsCH4LZTHwU8mnlR/9EogQ4ie0SIBjS17GThlUvV8Rr0uOttqqyEtrjQqH2pzffjLgHb9aY1lj8RWWIaCwk6guWPoIYphCHboNMadUgYBwuxb/E0J2ubqMnnTDIamevcBd2sX01LI+VyMkHa1whirUa+XfvmIUkfRlnZazC6VbF0JUamuJAXdq+9WE6rSeGhqasI999yD5uZmXHnllbjqqqvw6aefYsmSJbjjjjtwyimnAAB+9rOf4ZBDDimztCGAen883pcTFSBCYEQZs2jzZgVYKHzXM5Nx6ZoO3mPmGRvG4FjwIZaft6vFVRZVImW0F1+1VM646MWrilepKjW/3FrzTCIlzWGzxzZDhGkoeOEMBP7tPhcxDtZ3OK6yjmoxLdANd0dNL71KCJqUn8933PSc8CBbBKvAUOLTcuenNERpzX+IadI5dGT/BjQLdlvCgLROCy9zuTzWOftpQNoA7/sgxFXv2n3Fe1qxBoHNmcTdUirkc7Vr8PMxNrkEtMJeRoOGhBWfESXZdNhVsw1RlcYDABx44IGYP38+zj77bMyYMQO77747tt9+e1x66aXYf//98dRTT3F3Jfoq3Dd+hNNrp7/0mSL/UNhVDL49YQS2G2G/RlPp4Kbfg3H+silT5sm+Yl0XXvjAfebn7FvmqlHWFPo7O4yUvlepulIdVKRYtpYxpEJspEjHS0S7gDrssr3hfQxJJTTGr5JN4RElJqdFd/B8yiLiHwReG6A6/FTPPNhuBVOA6ABz8bKmsGvFTu+TrzZi/tL1IVCyoydrv96XPVuoc2aErXcthZWhpbLzzFekPRiEBZ4hGjB/EESi7FebclRAVV7VSrHtttvixhtvLLcYJYH5dUQ7eDfF2fPwYo3tT+59+XNMPWB7Bf7y9yqTpx+6UaGhLon6Wv73AIDot52diELRe/PzNfhidTu25oS+qFLzis1n0b/J/A6DV1msr9GqkxZC77CxmJ/XTUJRQEXBVaLjIx0BkAiwMruqyytW2yGE/BYoSUNpwm94gSy8qhTeW1WE7uV1/ZtYfNyXdkgIGd5l6wuhH1GLqHLQnMLvecWc4KvCQfpOKEf4NA7X64J7iUVUSn4f6Md+ULU7D5sVggxyy1lEt979d3SVwTdyYLMWzaBKN5vb8gxGOBH7RVjcZJduOXnZQhuEoUZyXsX36otcMTUfr366SomGkGYlaW88kj7J2/qyqGGYRNoeRZ+gbR6kD+uKpbPQ+1Y0vBwizrlT5uWNoh9Zli3zzPUjIjAhTfLY9oAzmyPEphx6WKn9xoENRva3KyDBTTwv4FeSug7KI9SpPvwCV+mmA4DYeKgqqPfTaHq0yuAb0FxHE0ciQ5jwrXMEVFb0r4ILlpzr4VeI3QcgnB1l2VnDrHhWopghm/MOeVEVz8979UTe2fyGHoig9J0QBTqeh1Jhyi6sZ8ELV+hF1J5ZnbSerm47Tf55HN6OQ4SGAXiXIHjL5QylctIMCm1ShQzu8wCcpI52cP3WPNj/p4ffVUwph4yf7OwWN1+IcUFB1xt256G40+qPpJMOIHdo8SRXCl8NKGAln8foK4iNhypFcQu99L23wh2/FqSKWNBYzBJCfruOHe4bYuhzgRHgS54CTc2JOGifla/H6jQDedAroJMUlSuFHTYmtpHuJBGPPiGmxZFFi4I8vfNMAe+LyTZavF03w53YWU5nvPg+44dj1GDvHdMwdzicbbepuwf3vfK5d36HA0JVIv7X0hUzw7vf+91ZcraNqkysPHMXrPQphXculTZn02gpvYSdE9WzKX9LpPA3J9p68IEw5j8tEhXm2efOuVW6/RAbD30YzjhhXfA6epBwHdmk5eLUxweUrvhRhkEFve0l6lh6bl7ZuQYFwlKDiauMqdB012UouwU+LzNw7WIo7Eyxr175xAz/ErevvFdK+zjvDEhEhpOSUq6ggNveaLg8G+uSGNza4EeEIukA853wWmjJuQsrryIP/m6GgKgm/BSdEOLiW64lw7YL5BzKijRc18tqFiaK3S2KPMd4CDN0yvWuApb+QDKoGIwByPcVVPWB6c0JzsXJEDxnYd8+rMzuXs5Dc846UQ0B4B+ulZdDbngV8xJC0JHKSmlpwbrxhC+fdI4lxY/Euc9KMjIr0nR6lnWhmi/MLmV+H0Gfl9KVgH739AvozvS6aapnLwt86lba9HWhq+oFhVdYmQ0empp1JiVCpU2VtlpIij7doPBr3AV14EUNd8gb/zc3r9dEXUaUVy+IAcQ7D30aVifm3XShCPeXWkNY+DTCaMoBXRlWbeyORA4nVEI2Pv1qI46/7rlSiCME65DkOdVFfVG1b1n5pfEC3IxK9D35cqDswY2gh+8+djDLwHc4mMH+QyWfZlH4N2+RIm8dWlz6PKPcG+5y6IV16L8MQJcL/cPhsp0E1bqNAlw+TsdDxIuE8lpJD8RLqoY7DakkVt191ApX8k6zeHW72HlTAUYBi0rQFfzCVpWSMdmXERsPVQp5Nw03XEkF5QiNCQv3vWzGGqt7tsU7FkHRqxmf6j5I6UwAqYBS/Z1E44RSOVQpA2/Xwy9J2bWxutBZPFglq7WxTosHYX7ryqKsQDD5ZQcgSzZ+w+iI2sI6z0ro5vCGlnKqRMMI9RyKrkIkNdBtOw6G/QNuISpeypQECVW999ywYBq+JGOr4DvhQb9vcTgIxnVUUOHRmc4i7fh2Rin4BqIfLfmKQBy21IfBd/QR23vdyb3UV5R6okyjMKpacDbHfa98joR1ONAnTZ+VxCqofiZTYhIp/g4gi42uzVUeLgzDUJIxSi+Raa/5LJxKzHUIohMACaP0w0+pbcCGi4g1LR3Fju8RJ9Yf+a6gPZ6de+aGMULD6tYJaaij/Kl1INmHu9k2b8C7L8t2I53phO+UH9JX/nquNJ/MGJfR1BQlgk1VbUi7RRjzizVsvYn9/t43MXH0QJx98A7Ws6h2yiLRfyptSyckxMZDNYBuRwv6qLZHosq212QoiXdF8m7Big2oSSZs6YLUv9dOg/3chjcfFQNVG8IDoJS+Nwm/NWTKLpeae/MMlxbvoS+xlCD7Iiw/vfo7wzIUghmULj6KXlopDQFRnb7HpuXbCW7hlHcaFQ0eEV2vw/+iczX1tUmhARHmvOb3uzglHh4lg19dMKrdS579rNT+/uykUKGirKezOfQ6ru+O4iNxQHDnlyw0sNoQGw9VAtfZBUkoARhPWSSdnOd5s3EORMoXfB0+lTDX/TCS5+E0mRhRTuSiSVRp8REvZMo0fbrOVb9DUTyErViJAQeEn26mAxVaMoPR9jzIAqp8HWSIO1FSPnoycG/QMezvwvAYRwlCgKb6GrC2hVNmUSvpfLmYl1cvBE+bRfGQN0tHn0zocB9AjnCHMgzaPs8J8bKGVVabA4s7NvXWlVJg0cpNaKqvUZalGoxkL8TGQ5WAO7ANw3N7L8zPtGvlUj4wFt4wNIqapHpaQXKnWBu7MtjY1eNXtAJNn9aKJL9n9RGB11AlzACMch7CYWOazrp3PALlrVQHQ2XQVkp9xpVzd0sU3Y0GvLucrC5167kYhuQvvyd9DXLWB9aYA7MupdGDl0iJ1z9S4nbwcA0fJfirU22HgIurwfwuP7hLJS+hgrC6zoLifMmhpbQuScacd/ZAWLa2Uz1xiGeQopizdefgvz/1IbYb2T90OfoyYuOhGlAYW66ztBF7h5wIuFMaSvowocP78beW4dn5KzCgqY57YFqlfqWTpPTwq6KQovw8749SPvEui5dMlqdUMxRHBT43M+Q7I0ZwQ9aW20sxh5if39uWbM/YnckwD6gXfvZvsh/y9pI5aPOHsnOnKQQtk5O+vnHIE0W+l8L+tYWrWM/UhPCrmEU9L+vtpOtCcb4T7EDZjDcFNn533c28/korNW4V0nBp+pwnZLmSiUowJ4tQCaOq1GvtS434tqW+DGnojPnX77Z05CiRB9hvUVQPTmkfSPfpzfIPIvlXUNLysDffO1gquyyyd1xlTDGzA9NfWqiVR7ABGAg6bealZLkUH7+yedzKsuc2Q3yRffytpXpi+OLihp9QQxH8ZBOGkBHxeCBEbecvbATxBHvt2IgeEhDd7aMQIR7UMn+DM7mySLo7jUUXvV4+yQH/wFCkWZv0VkHlOzl+1xj+89gwUEdsPPRlKG4nC+NeQxUmIvQJIYHl6zqxrj3tmc73RB2hscUPW1LMG4FY8itGw+cn45NlDur5UZq8lDq1m5/k/3bT1EvHwnU4N2h9a+Z/5dNVWkTkITX6dcvLT0jlTkOGYR+9vPMabAiUH8gPdBMlA1R+RMmfZe6/TdwCy8KJuPwcp5TlZ7AEXzT3QBhLhc6M5Rz60SIcTqVU9kPdea4CxMZDNUDUK5WUHXp4ms0W/pkH3w7OCIac/TsA4Siq3T3ur/mq0OI9Tvfk8K8XPuWn8VRG5XyVY64V652n2HrljMqY9dxx0KHlzCkIWyplKELw2B71eGkZq60GNQrIy2tDp9z8s1iUDgDDf7w/LySM/Xe5D2eqQkVM29ktTec9my9oOpW2r6wAFjHs5+HCN8hs6TjGIAv2+wfO+pv5+hfRKKzqaoUnKm2sCXcy+krnLCFi46FKIFu4SzU+ieNvGDKENblwP9gjy8A/bRoJnKzaujK4/7XF0TATwFU0Xc1Ehzb7zr92z3kUzBAk8F4jhg9oxMG7jNITjPNKpeb4OwMKCrpSndo9p7afEhb1tUnsNKqfCoPQoLTz4nm4W7+vscmdnukwb2LivnM3jztJKeOqPKD+cUFfr6yXgUKmJDswOlXC39WRpOf99lsPDhz1l1lYXjjITGBvh1ue+4SbR3RWRxkBd/sqAX1EzIpGbDz0ZTBXePg728CQsnmoohtZfWVyAdS8Q1GURlpFunGtjr+6+bjveIq7pewUr3HUXeZpenrOgP+FVm/5gr2Vo6muBo31STHtCure1m1BnHeiaBPlNvO8iqnAx/YoQvddiLtOTpT7gi75tdDmX2ucW6FW4rFj/o7uII7fcxietyCF1BCBxqjo/IlCNlt9cMj4FaunN+96VgnrrPjCB1WnE7sbWP7yWKggUcqJ2HioUvC8Zk50prOhLox9bWfP9DT3Mam9wpZcXlq5C5OACD6aFVwWd/KIFwMOSefHheS3o5RoVVBgwwuNIJx3fPJUgZSzM3h3kKrC47A8LxY8iptjdNLI4OtLywF5KoHTJ+06qD9ltphfXwTGZ+W5y+yqVgVDiCuD+FUo6bWhfRWxUfirAc1CmOF4CmQZRw/7txwIusEd9oHpGOqIjYfNEOUcOJVwzz4L0cTJlZJ6cstQhMhZOo0OxQVF6faoENcmXVq//Pfr4TEvoLhg+d+Z0hkHOgemQ6lrxRCRIDe6eSFMo97vdzL8hiiFAXbHUHQehSi2kwofeRpemI9CXBVFSE3p63xRCI2ncohaFuWqHeLG3UXz3s0t7jQ6Drr4QuxejyFHbDxUA7y2eyXIuz4OUSIFv4zbkNaiq53Rnt/5uyQI++NZolpQLJfuTUBSWjppeR5ZRRmC3sITJqR8wpaB2L8MzA9tMWwKq845ErYnBRadd2CadyuYOLmLnNeHH9101EoRhfGkeo2m6yvAhb+bOB+slNHy+YkZM6/8NZ+GYpU52yzy3UsJbOw0b34Ky7svnS5IuAfig6400nOYugaV8LnP3czYNgqM2HioEvj1ZDY3uL8TWEnxhRUhSYmF0J0Qne2Vy+cjvVaOd6+4LL2za1IFNSpEoY+zIRpShZqX13EnvKoMUS6MhPkhkovbhzzD5vSUKr+wDAkVQ5D3LATB/Pt0w1UkeTdF3fniZ0o0Sr6JyhTdeXBXJovf27C4be9BXyW96yXHoWQZgCGOAr7TJKR5wjDsjjFfVFn6pdm6C0tf8XQ6Of7qM/CbsTIRGw/VAM6BaZV+yn6gJcxFRGkwV0r4UkgDWmU7WRle7iUP/Ogf/8W8z1YrJS8aAoqyBYDuoi0LXdFXANSUTMMI1jXdV4Dy0+mwCO27F6zRRojtzIPBuY5I5JAQf2BJ/lBL1gBeXl5Cg1GMDA+jt6GuhsfWkd7jzIcOJAUigKTCvTU9dgxZZBR2YFRgfviMs3sVgKY3Tz3qGzoyAZhJBQGgrrj7CcOz7bRw+m7YMCT/UoV2fwqo+JfqzIP6R2PpDzZvdSI2HqoM7FAsV6eV676VY357TiABPVzlAcHKtm50pLOFfylns/9T5+Qd5zGbX7UfumO7/XrUxFqf3Lvpix0AYKshLf4ze0DmYVaBU2e0Ow3EB279zB9UuQlj7mlpqLVksUESssaDbrsO69+Ipvoaz96no8gZtt/e+VgjTy6DN+/QvyQsNB6pp10puS+2qrRomW945iPeS0UifBm8aHh+o0RAm9IMcy1R3XkJm6+yss38fuSNJfZ3igKFZVDJD+z7m3urGbHxECMUVJJRoAoi0ZB4ExKx3vGeBpRF+pKz169MWKw1+90g4opjKSjE/S4K8Bb2Mu1m7bzVIIwb2T8y+rz6VvsytT9lRPU4OO/aXOLob7q8nTfBlBq8r/N6327lDVsdaZbNxZ5pVwOGvhGjWbWhhkD6HKJ9b3Vxgwh+uxP6dJroppcL4UuGIBT+OXtBYJ5BEKoKE9LuXiUjNh5ihAePhaGnNydPwEMUhxGF/5CkC8KPhEPr0D8+5bs+np//Jfd5Ka6qrYTJMyoZ/BgshBD/SpRHQbwUPa3zEIpQiVmP2rCT3XbjmdfLOPCsc28efqcxzx0Vh5GmquhzIph8yGDolyvAQKyUSFdtBCizkmHK2eoJ4yKGINUdtvEfthogDCcVOROrNvjIP2LjoRoQYAvUEVIpxSNvLMGl/3lLTw4GR149S4FLNOBNFqqLkfOaPC4tf2KFll8EKurri9YI3hPbX+s5sf8V0udGCNmpKdOSv/aEiuKk3OYaq1UUNM305t+GWvFH6fzyicqYctLVLbNfBZEfnuFXYw8/fETKTsJJ9wYdVZn5u6iCVK5Gtf90Goa8EC3tfqAgit/20Qnl8cofhTFepM2EynCeifDc/C+x4Mu2QnqePPw5P2z4uoWL88zL8VCJUQ+JPmvpqiM2HvowVK1h1+Tus1+v60jjq/VdSjwqEWHKWJzMVfj6o61LTDs8JbDF4z54qixDwPk+6iv6aLJdth7kiw+LEKtZ6UB3kKp1hu34uHApEGQRetwQOt98JAo7vNss/DpwcLSUZTej4lgL79C29p0OAY0aT6dW4a/tcHsJdETeV6Bl4X9+QwOrHV66SbnrK2p15ZvjhhV5RcuqbIiNh2oAr3faJt3oh6qNB1fhKPd0oQ8qs+U9k6UNyovDVyCUHl0l40Y8vUknWcL/OjXg8D5KD6JJyft6x0+v4o031UZ24dtmeD8AhTpykPCrWKuIzl5nq8NH5pn18piqKHhRj2Ln17Gdv1kZ2BuUvCC6GYiT0krPFzD8GpC2BZEoYkTNIaIyxvhpFAY33GPLSUsyu9jSV5wDSlBx3BA5n5cZeIqg44UnasYk70YgALbrqDmvlaBwAZg2KqZXKM3tZqJkQnxmslrgvuQ/RnXAUnxLCB1mijNsJANON7yFd3uGJksVXUSYRoOPzsIViT1HzP/8kA7aV4OEWpkv3I+sbzSE0F97evNY15426SpR84eg7Rra1bA+YLtalPJUyufzfQgFijL8IzDlkA97u0iHqii7iTnFD2veDQtOw2dlWzf++/HXgWiVCzK75LL738Y2w1tD56n7zRwe/J0700tv/1hhuVuqMhDvPFQxvMaU7Eq58GWpGP+BPlzeH3cSzzAH2UvHR8TChOpE5/buhr/DUQkI1A395i3ke/b9FfjRP14KIIA/EdjDsYTZLZL1Y0PCK8qhbLsSUZRGYdekHDh67zHCd/qXpIm9CuxuQVhnreQbjAVHlCFQ8C0DW8CDd4WVJgiC97sw+ojri96Ww8L88fGKDdYH+oo7h5pzKe+ZojMw6G4BC5bXxys2YPXGlA/qHLosYZ+NEsZ649vXqbvrrZe8zyA2HqoBsvAO/1lDSS9EhRsT9vktuHdEh5/smlhtGSpg5pLtrjgX30B8HH8D0eKFC/ggzJYrTwhyeaIcbqJK1/6c84yXTiFPmAfBwx7tWvH2mrtGfrtiTTL85VQeukdccfn8hOJXSt+JkMhiXSbBEJKSlMripmEw5XOFbymFkXCeeQ0IDZoiY4JNaO1OQK0vSpPIKldzTnGyCdsBRKXJEYLOwneHhLIEYO43b5RLY76veNMCIDYeqgTyuHX+O92Y7cpW973BjVX1QUd7y1Obvn+vv9Pbpb71K6Yp4+d6p8BT6wvFGlANt4liWn/hw6/cjBSgovTxbl3xA2vHgf4bhn073rn7FISZQ3HSzs6J3/ZzqFckgzAUR9Vg4vBRkUUf4oz/eXUxNnX1qCb30RZquwye3vCQ+m/JEeKC5/wmirM/3PD0h/jky42edKS3+CieeSgmp2tENK1Cqc5dsBKn/X1OMFqOCgvqe9T+wrRm+t5cUd6+rjeJEBsP1QDOdnIU00GfmvhR+C6CBEHubtapC5W0ngq3Bj8/CBwn7ygB3zAtkRIRoDCVsiEWRAzeoWNZOmka7ZPpAfMzMIpuZwk7RfrOsys25bdwSBrsKz9x1N77g7o7TszmAhfprP3bOV71wR7Ep/S9hXDQsA6V8w+s83YAA3ajwjN1In67HRH+w07UaQTQf69s67bSfLGmXVmeJ99ZjqVMeh57gD8/yQ+9u+HHKx4k0qgnm0dXptf2zOu2MyHzkBD1xkC88xCjT8Prjm0/Zx6UbnPgPaNeDt1FJIIxWJZhHSC0Q7UOeO1c6jnM/oVpqmSAeSbO68drZn8mSa+gUHMXaw2ZvBDGuR+dQ8Q86HjcZc+4dAzBb8o7YGdkc1tnMoiQnQ1mend/FKYPKY0T2iFU+iyUoCY6PYvlMyxE5gkn5TPUg9apTZF2tOc9Ly+yfm/ozATk5N5B1v1+gIqSrupE0/kAoZ8dPJ10pT7zEMON2HioYnh6oYDQtMtqtLNVbu/hKrF++fl8FxQ6YQcqcJ0X8MHTk4fPfKJDn0Bw5RbwaEPNUDKvj4d5v/NOpBvOZQtX4Rz0t2TW9IY66dtpOtJwakbNgS43IMPYIYwCrpDCCGnzECRMk0DBaNZhEIbGx52z1ceadv3LOrMm3VA/PmaNNXYSEDkao1W1nY4BVpaovu7Mm1fk6b1byKo+ju7QF6+rlyE2HvowVL24SneBKyjKQJUZCbL64x1appOZEcEBUBuf8OhG8TE13QPkUXiNZAjDs+j7EB4nG7v4+aHrlUPF625/YIaucBdlR78X7lTwHno0vo4CUqp1lsvG57kVBVeNNnluf2GetTTUKnINH6rN6bEh5ZGnaKBGpUSKefPe6ZzUL/7R+6CeuINEqcTL7oQI6kCy8akAn3+QaqwqHSgAYuOhShFFB5dPqh55y7RHLVWeSzQLGIBttnLGKWuJoliPyt5thYTCA/eCf1g3sDh4lHPSDRoDbcAtv66n2hlv7plXYNDLxpJ9kXfvDBSfgvu1as9dKF4JWAOBUuCEN4XmeVMkwzvfAIQTOsc9vxNgLLkZeEt12O6jseWg5lDCf/hyeRtFXm0a6qzv2oHxrnA//C2qCv1EtUe7FWYVLzZx9S3Ot8e0HEQJA+jfVGeXgIhk5EO7TiUZZGdmlEiH2MG8yq9j9OQZR2O1IjYe+jC8bkvyY+H77ezVaI37LZNXFR71l1na+Zxbudw03NN0clnS2VyJD3cZwj6m42HnLzqV3QuLxlSp5IyKj8R4iYAnfzdHIR+b3ofiqc1QlZRKqJBHiJUwn4oBo0eSz8duMQY6UCuDq67KOMSlrMOUS0ZLs/GcpIb1b9SVxmSrqRiofsvBbz8PCj/rR1FWjfClKkZsPMQIDSrGSiWMKXscond63jWm2uXweWDcyq6ZXuoZcwjhuu7RlZzPXTl0Rc4+PAg89YB+iAVx/DsItA8eh8WYA92+z08jWGbL4GXz25W0DRJJOFrgMCQPqBwZiHR3j/Gish8Z1COhEtrlRUQnqTixfCeFddTY0/POBxXrXU3xDAyZIh6QhXcZyggB8yBl1unGVbyB4Bux8dDHMGXabKxtD+dLj9AMo/CCzDKvyMNCnouyP5n95GLDYsJYaIqLm2wRFS/ouod1ifAfAuWHKs+MUuEdMuMNsx55/c87r0q4gjcN4nygLYcnD0LEh74hM/aKvcyeQu9+eBUkHVejhrF974rI8qBZNATtHxhznwGh6ex/teVTfOs6gKtwI443b+9xrg972BvvIgQeZacBTjzSqcCqIyP4WuK1Y69JzTN/cQwYwroU59UUR+t8o94cry2ComGlTE+AaMZrMJRrR6WUiI2HPoZUTw7pHjNm3uN7MZxnwTQZ1d1Uv+Olku5Gln08y88Vt17pgpTcWpxUM2gsMGZyjYOuqkYH49XzF5fMMRAQUEkNquGIaASE7uLrpaAYhvnSdfC/8Ew6DLmGo/thMuDXlu1nCpymDl8OMS02oxxUwRM1e9ApSvT1eOFHGonbsPOv5wbvnFrhKzKFWpMvAQrhUeXzAes6Jdj1TGlXXuJ3kHZhTSVd5jRi4eecYphOQiVnkc/uEPVZBPv6GS2vciE2HqoBFaBzhyHC8rWdbroBJyOvb134p4sCXfvfMGj6hbaTqsDR0+Mv8XIrxZ5HMJHqKrj6DEKgISHsRwmynK+aO4ZOTiLeujS5R2yLDmLbv1Wh60CQGc42SprVrXRDnWSnNSyEoUDJlFIn9tx2qHd+zY4Sxo5igVR5YD9I6A+OnVap488niwID2T+FxiufFJ+W33WmKAOXm/Url8tb/OiHXt0OBNYw04efIes75NhnvVU6YuOhD4LrIDW8ByjNZ8gSSeCVuhKuYJOhVB4Are143jPNWSbKm6ze/HwtevOS3QT6lzGiCBQUKh8iB9pU8Dlzbzu8X5GGSoiChJZuM/Hq0DAKo0y44ssf6YZs+D0cyO3XnpTsaZ3hD17pdRgGXcjN2HjD8Sx89YAQ7/Etm3d1+9yIAY3YbgTt8/bysN9IIYUG8n+GSy2jTHy/vJXrJOC0Gk5vUKeivf46DQsU27Nk3nJO8dK99tsIoxIlyiLGty3F6BuQxYFK5p6+1K9XrOvE7PkrtPP5jbfkTcS8beQwEGU7qMfW8hO+uWiNMI+n3MHWMm2oeq11lI5aj/CbqBaHIIa4L6UqooIEif0V7pDwzlT57D1cuRRPU5ftC8lMDIt5Nz8jbwkcDzQLzVncZRIwD8Fott6phuZwjWRFg0VktIY46Ue2WRWwU0ZyW5r0PI4/hOGo1N5B0YnYq7ZtBg5i46EPQ9UrIwshKFUntxYpD4bXPj6f+/zdL9bihqc/8s2/PZXlPleJ0XetIZy12nZGQiJHFPXNP6CuIUTJlCB/ISkRkfcgJSamuz7bzgMR750AlyxsfyPhLO+qNKTdSJox4olFpQ0cB6FtCOgJiMqRYNG0LhLQHDMhjDGnQWHbbRDA85Zo/1qilT+seva/WyJ+Fuahd94ZHVkbFJPrGVau9JJzfvb8wVtCJew0J9nx5iTXgr8bw0qTp68gNh76MDz7pWzxdDyvlDvyn5v/pe3fUUrVl3Ze/MLZrobknT5tNy0Ct4LLTtSuw58cI1eJN9f7bKIz4zYUVcqqXRsqIT2uWF0TojMDMtgNVD5vpTaVMGavHxV7pR3KpTfH0L30RuF/6ukDQqpMBSXujy9FmOGiXiFofkMki/OD94CPIgzzoXlfoDvT65aBA532DOUK2pBkEVDwTZttB70m0e+RPFneXbJW+L7k+oqiYWWlYeSr1tCl2Hjoi9CZUWwdlyAf0HOpdEgwwJZxJUH09V2ul01WvIhnDzrJG7Zn5l//h7xkiw4zMcrkYhRRGXx5gQp/B7fWu7hu6upBfW1SklegeBNinSmQe95k79Qr3Cslb8dL7+YrdZ6G60fBCAy4+aN9oQAnvZJxwuuJrJ7KGxzFzMpg+06gg8SKWLKmA9nCAVKeDNHCfY7ONvZl4bIqcDq+ozpEDOC25z/Bqo3dgWhEMZcKckje6K27Stw0T/SqzkFUVpkpIaubXK7wLoLlM2p1JK+4a9KXERsPVQreJPP5qnYcfc2z1r+DjMkPlm0IkLtcoMosq/zKJrbIBVKHojKvkJxPw+Pf6oToglEafGeHLbDVkBa7CAASIQngrAevhZOrPBvOZyRQBfGMm8Gt9RgxoLFIXyigO/yB2F+BQKzISW1kj0LpFVmspJtvvXso7wwML5drN8yTskAoBfDqQObtn7dwteUxF4oCfSNPDe6+EhRWH1FVVJkaM+Ddx2RQLYfV9xVE1TaOaT7NNM70n329EQu+bNNjSmkpnw0TO1mEeXxJ5IBeFwl6AZYFXecMD2GsxX0FsfFQxXDeytKV7kUmW7zJIMg4ceUtwwAhhODUv88JRkMguFcMr/Wac6uCK6tktycMHZc4/uoiiAzE9UOSNsQ+on0gMiTepdpBs39nhHi+233sEAzp1+g6U2HPaPtj77PcA8Gy+CbehQK8hbOggIopQZRAZX7yH78uHvemEgG7UWrVHS+Uw1sITeeub3iFHamA17JO2irt6vfGNeFHDp1GuJw6AOCrDV0KqVychAyc5wdrFL9n4idMUSACAOD+VxfjnrmLtOn5/R6ReROTXk8KGk5n/9ZL+PC7H6Sz82erxyozImLjoS+CE6bCA+2r0oPVuqyhxjssfl5Ys0n+te1gu+piL7p00dTiEW46Vz4Vpd4nQz/9yq2QBlsgVD091lgIIYSs1DGsvN0MmyEbIOzLIsiBF1kN3Vnd26mUSg3FSxr85d9meD+0NtbanvE+sCU8gBoCJu+xlWtnTQ+GJWwYc4h1VTDszyTc+TQ59FXDAXXKsXxd8dtBMkeH2teW3YJuOahJzJxT75EowUqyK8AAr4iBEfS8Gc8IYZ/5EVW4sxqyc6hadx2A2Hjom1DokbpW/9cbgsWDRhWnwha1pzcvTqhGLWD+ApUAZKL0ppYKsp0Of6Ib/AWdR59TOV4edCXCGlC5KUQFnsa/g5bcy6vBl/WiSypMcc9AijCNXr83CZn5+OX0oqkzrZVr3HrO9Y7xYT/MaVjP/fBVLXMlzGnqh5sV1leVkCZOPRdvTSp/hXjVh8goVG7zCMLenLR95/eR3Xd4VHxgOkZfgu1gn+MZry8v/HqjNl3HCykCxxIGyl0OwgyYsuve1ODE/KXrtVhzQ0m0KMihGsMtymfzamrQ0V18tdMLnoexcxFllyNg6s2jzKwXnd1RtHl5JdtSznnF9tCRX/esiOyteWTEUMgnoSjrW5KHXt9/8YJq7yl6472t6lBCH21bWXx2XgekdW1q0ZeHgyqtQaDqxS+OMfpH3qH8GAuEEHZby/5XgKC+kyiqWBYCzK2WEtlVvLqSzVM6Yqmknb90Pd76XPwdpUpHbDxUHRhvR4k5F70xHIW1AjwtcCgcngoNZ9vZzMekCUcwT1BZHn97mTCN45yfPJH8kTZci4FE55HF8OvycyKISmnrFyIb2Uc/5m+768N2VkHQN1m4+q0sveEet16GoasdBaViDZKgZ5QsmoZzHMqNZOmZpALSPb3W7qZlTDm/eRChN1UVTta6oqjvSkvCkQxDuRPbw74J9zcL541OpcJNsz4qHE53HA6ickmECqU/WAajZxLuMxURZOE+yoat126d3wMeTj4RjzE9oz/8jvjkO8vw8OtLQqdbKsTGQx+E/mIhem6EOkJLvaAqTZbKgdvOfOXba+R7N9Urlwj/oQ7VbLLFrORnA2y7GOF4kHiQfrdC8m/7venqlaMfwuNVQnPcu8Y/z7PKpe2vYQ3D8D6jxAmW4oVv6cw1qoeVe3LusEiXscjt8D7HZgTp/aJ4tbOt5u2ycHc8IpLQqbgTt8EoA/9CBck7mBeKKH2YTPm2oiJtK2xJlt7x1w90DEuZo8cJiT/FN017Prnxr0rvwjtfU0oX1dok3VFxpq0Ef2oAxMbD5gTXOhhi741MUawA94PGKHcqhc6P3qnA5QHWjem30VJ76dKROGXef+JIBaLeCCX0R9FQsNIH5ujmzdcjVRULD++dpkxWHh1FQMFwlu/weMP8doZiYntGH5nEkIlgGIbg2y22TuYipFMu6TcMCOEYod7lJyDWLT7SWHqZJ1uhnu07AYbrmTifPQ/vHQvvHTqORREleDIa9r+qcCbn1Ql3p09EMEDZRVlLbaiaPKWd05XeRcvxb7/X1/Lw4kdfcZ+H2e368nmIqjceurq6cPXVV2OvvfbCgAED0NTUhG222QZHHXUUbrnllnKLFx1KbdUqeS3LsDsR9friQf+VT1YGI6Ahg+Xxt73zpq+izDfV12DU4GZ3Xg0+XjK5vWYyb5SHpyoCGDB8GT6iLEEMQZUxpnQexbAfehXJlJDFAstk4Txjr4su0qDKr1gWvjc5nFYnhCkjc5DU1d7WWJP1RD59IFwfi9LZIg+GfCVWEH5GzzwwXmjd6lc2+iMYzErtFAHNMKDq6CuFLqrb5tohP1b4M8Mz5JpWKcNfHnk/VJ7VhppyCxAlFi1ahIMPPhhDhw7F7373O+y6667IZDJ4+umncckll+Cdd97B2WefXW4xI4PzRgiX3hDwujMRvyhQ8kWXm1GFtmOrX0SL5eUV+8I88/u1Tj5j88+Gzgw2da/zFoFRqmTb+646kMULaIDewS8iJSs/6ziWieHVh7Xr2CN5lGeBOHaCQhdm7nNn6qI2aSDTq+YN59Ms/uulj7/2pGOn6RM+M5pGg498Pg8TewqjkCRoL5IdQA9KW/v7AJKt1kDDxesCAaFTQ7yr43f8Bs7HOXin5Cjy+c6k70meS8yv4q8U+uOLsolSO/3d9VBqD2+4qFrjoaurC4cccgiGDRuGuXPnoqGhwXo3YcIEpNNpPPTQQ2WUMHp4Dj52gOv24z6436bt6Q1jVwBiD8rtz38izBMW+EaA/d+d6awWrSfeXopFKzehvjbJoV0kzqtu2Yee/Cxe3BtQeHk9aJv5WW9y+BO7VT5F0n6udbR5xL2y2bzAdliHst1bFUr0ieuHHsKofVkbFg3a4jPp/EDTGY5/gzFodQVUAP/yieA0/KRhEgPwNkZ5t3DJQjBlSrqNiE+ozgHOL0zzMqqEebLv/Bukui+CIUyyUloKk0cUczCHjQ2l1mr6nhZVRNWGLV199dVYunQprrrqKpvhQHHJJZfg3XffLYNkIUIxGFBpTazQXlwJIVCB2HDCMSgenPeFbxlGDmzC4NZ6wVsxeM284+iB2GObIcr5Nnb14Ou2gN8FoSjEe6sYOUTw266QCO6eV1DwbPQFCblhHr5CmdTPaTj1VtV80jQOvU740SQJTR3dIMz5hSp4OiTth9VFdOX/Nh8qPZIIopbMr9fVq02iPH7CPcdgHRTWNIIEhoUhmiyctAuJDt99NIcfXxaddvTtQ1YwuFU/fBl0TPEuJ/DKoQLn2atI1nBF+iJ4zXf6L0VZZEalPr1KQlUaD7lcDv/6179QX1+P733ve+UWpzxQ0iCC0C9tzy/HOFNT8AqLmiCP22/rQ9HkPNt5q0EY1r/RO3NUFSegW1Q2NQwarVWQWgGSSRkQHwbW4MSykyax7ViEBN4BXg5PvoIrl8LUv0xN0nY+RkmwYirVumTDzbypFv5NmFAapXAM73A+p8HklFEFNqPVjyquaXzwi25/qCuF0lWbEn78PGIpVMe3vA29Ugjy2X7Ly+Gqa4kx6Yo05e5OuMeKTlt7jhmfk4107tA2KPj5Af/GjcTGc8Gv/aQd4avpuamMq+mjRVUaDx999BFWrlyJMWPGoL29Hb/+9a+xww47YNCgQdh2221x+umn4+OPPy63mJGjEncTot6KBICrZ74XCh06AQSpRpWb/5yQxqUqCOP1MScLqm74kGDfLXAXJChLqZcnMO0otpjDpeitpBuFdIadu8jTyTNgSJFXbY17+XDvFrl3lipxXgKYM2K8OjRsf7iQnqXxK5QKAoSfFiN0OKdUPWnKSxWG/sRykIU8KiGUOc1nSypl44xDf9x8yeE9Lqkxr8fHSZd7FTnHMCOC9y5WUTZJQETxfYhKQVWeefjggw8AAKlUCnvuuSd23nln3HzzzRgyZAjmzp2L3/72t/jPf/6DBx98EEceeaSQTiaTQSaTsf7d3t4OAMjn88jn3XeCR4l8Pm8phJQ/YWSw4m7zxJaWEGLLBwB55kAkIYX0eXt6tnz0N0Fxb9dJ08aH5G1p2N+UDzh8clQ+ljfJF8pL3O84zwDzQOavj97V9c5VfxwZimBnM8NRLlgVTmnlmXohhODwq57CU5ccDvqV0OIE55bZTFKsP2495BnetCwuT1XRo+RsC246xzNnvXMyFt4xfAqvcrl8sV4d76y/pHglJW07Akbpd6wQPAPIanNGliJ95w+WFu3DEsPKqhdiSc32ZWIVujhWhPKxY4aSZ8rlGd/N9DF2zLjbgB1/ZsZ8sSIK+e1jgB3HIMyFnzZZzDRUvmSCCfsBcfQxlp+9XFY7M/2JcCxq5/kOXh25xgD7m+v6tf0BQLh8QAhInjALvbNtivVl73eO+pXuhhX7lvvbEbx+5J5Di8nZOrKPd64C6nxHWHkc8hG2jgqyOOZzytPmpOCNC1sbwvG3KKezrGy7MgsO887eH3jzt/WMqQ6r7QT9z5wD7XVrk8s2b3L6kZMmm99RbmcZuHwIsY1vVnaWG2+9pcjl3HXkHk98GQiKa4LBvOOtT1Z+a65ixz7s/JgxwGtDZ1lp4Jt9fbL3B95a6YW8I5/JV6D7MGNG2u8IfceMLKY8Nn4cXaDc0JGlKo2HtWvXAgCWL1+O3XffHY8++igSCdNLtuOOO2LMmDGYPHkyTjnlFCxevBhDhvDjva+++mpcccUVXPrpdDq6AnCQz+exadMmAMD69RvQSFJoa+sAAOR6e9Hdbcagd3R2YM2aNejs7EQ+T5DL59HV3QUA2LhxIwBgw4YNJlFC0NnRiTVr1qC9w6TV3Z1Cb28v1qwpfjad/u7u6kZvzrxmsa2tzfYulTLzAUUji/5l01MZMj0ZEAIbHyqX/Vkb1iQy6OzscL2jN/6wz5wydxTKBQCdnZ0mzbYNaE2kkU6lkHWUlaK7u9sqDx3869evBwCk0yn0ZM1DxmvXrkNXXRI9PaaRme3tRSqVQr5Qtkwmg46ODtdkSXlmMj1IkF7kcjmrDWk70zSEEHR1dhXy5woypJEtyJBOZyyZKWi5N27cZCtXLpdDKmV+qIvmz2azQN6w1cP6dett+Qgh6Ozqtnjn8jn09GRAcua4WrduHbLdtdiwoRu92axZtwX6mcJY6ejoBCEEvUxZ0+kMQIDe3l6kGUMdsPcfZ7no31R3N3KFdjLbiyCTydgUZrNOTVrZnh5ke91XhQJm/ZF8HrneHFKptE2G7u5u5HK96EUC3YX6o+Xp6emx0QDs4yLbk7V4W7R6cyAgtv7JIpvNIpU2l006Nnt7e9Fd6LOZQpt3dHSAgPaHHqRSQEeHeZCdOj42FMYeIflC3Zgy53I5ZHp6kEwY5rueHhCSN9/lCZLII0EShbwEQ1rqsL6zB+l0Br29WfT05GEASBfqKpvNWvVGx1oqnQYB0NnZZfX99g53u9I+nyvML5mejJW+s9D3aV1ls2Y95knR60jnJRZUyUmn0sjn82YfS6dBCLHqr6vblCuVSiGfM/tRT08P8vk80hkzXyqdRk+P+a6rq8v6SxWzjo5CWVPiD+DRtjD7kV3WdCbjWrTb2zus+qPzEAWtj3TKnANyuV6kuk3eznWJ5PNWm2QyGRBCzLmmMJZ76RxSSJNKF+fxTMZ81rahzSpftrcXyJv9hRBz/OZzOWR7i+WnbdmdSiHXm0MuT5BOm+9o2VPptDVG6bxPx1omnUa2UN+0brtTKeTz+cK4SNny8ebvDZ09lswUdA3q7Op0pW9vb0c6nUZXl2Hlo3VD18/Ork5zfGR6gJyZjo533lxF65Rtc5r+3/9d5JKdtiv9m0p1o7PGzLep3axTa/3MZJAt9D86t3V1d7sMiLY2ex3lenut/uBcI/J5YvHu6uoEyZNivnze6g/3zf3MJTtFR6c5H2WzWasv0jag6fP5PDoL42hjoa9QnY2tI1rvPdksUin7+kTroaenB5k0uPqKDPl8Hl2dnba0ZpvzdZ9stgfpVMJWXzw+69uL87JV1kKdbli/HnW5LittJp1BT29eSd5SQbQe8VCVxgOrRJ133nmW4UBx+OGHY/z48Vi4cCGmT5+Oiy66iEvnt7/9LX7xi19Y/25vb8fo0aMxdOhQ9OvXLxrhBcjn81a4weDBgzBsaCvWpM3mS9bUoKmpCQDQ2tKKYcOGobmlE4mEgWQigeYm837+AQMGAAAGDRoEwAxfaG5pwbBhw9C6whzgTU2NqKlNYdiwYRZv+rupeQOSSbNzDRw40PauoXE1ajrNCZ/WDVtHND2Vob6uHnlCMO3ZLzDt1H1scrG8Bw0ciGHD+qOlpdv1jioH7DOnzK2trdaz1paWAs1BGDasHxob16C2poebv6lpA5I1XQAylj9y8ODBZlkbGlGXNifpoUOGoLmhFvV1ywEAtTU1aGxstGSoq1takMEM3jAKfZHyrKuvQ31dDWqSaasN+/fvb0tjtpPZhrQvNzQ0oLbWXFjq6+sLMjcV0hfL3a9AiyKZTFry1dbWmjLU1qImmbDX++BBtnyGYaC5ucninUh0oa6uHnWF0JUhQ4ZgYEs9Okk7ampWoJ6Vr3BhQWtrCwzDQE0yadGqr68HDKCmJmldbHDAjiPx0scrbW1HQZ81F9qysakJNTXmIpWsSQIwUFdfX6jnokJG+2JtXR16iV0Zo2hsbEIisRE1NTWWLDRfU1MTkslO1NQk0FSov9bWFhiJBGpr6ywatA2scdHQiNpCX6mrq7NkTtZ0wQDQ0uIuI2C2TUOD2a6039bU1KCpsRF1NRnUW+9aYcAw67vHbJuWQvq6OjPNoMLYM4wE6urqYCS6UVtXh2Qyi/q6OiSTCRhGN+rq6pBIZFBbW4dEPo+6uhrUFW7UMgwDiaT5u76hHjU1BHV1Nda/jYLMjY3FtgaAxoYGs5zNzUgkTIO0X6t77qT1nKQ86uqRSJjt2lLo+7TtaX3nmZ0smo8FHSv1DfVIJhNWuxpGu1V/zU3NSCQ3obGxEcmaFACz/MlED+rr65FMdqOhvgHpnKmMtjSbsjQ1NSOZNJXRFlrWRvEZpPo6yq8JyaTdoG+ory/IWjQq+vVrteqvpsZuVDcXZGhobEBtdw7J3iJv5+UgiUTCapP6+noYhoFkMommwvirqamxaJn5G5l5xXw2oNB/GhsbUVfTg5pkAobRA8NAoY56bPMenb+aGhuRrOkGyRFLLtpOdA4BgIGFeb+1UOb6hgZk8mZ9tzJ1axhmGzY2mHx46wWF0ZAq5CvWB117mptbXOlb+7Wivj5t1UtjYyNqa03jga6fzU3N5hiqr0N9Yd5rpOsuZ66ifayh0Zw7KF0WrOy0XWl/b2hsQkuLmZ6Oj/4DzLqtr6+HUfheSv/+/QryNSHB7BACwMCB9jpKMnMblZm2VyJhWLxbmltgJNYW8yUSqCusM5094nW3dXnKmgsoH9oGNH0ikbDKOqDAe+jQoRYNWqfNhb91dSYtlt+Agq1WV1eH+oZ6rr4iQzKZsHQfiqbGtaipSXNp1dZ+YY0R5/rMIl9n6im0bo1EwqrTQYMHYdjgYt+rr/8SSOSU5C0VeJcLiVCVxgM7QHfYYQdumj333BMLFy7Em2++KaRTX19vKWYsEomEyyApBaxYZcPkbzAyWF++TBjmO8MMRTC/nmqPdWY/+GQYNH3C+rcB2MpHf5sfyaJ8ErZ3CZaPI7baJjud3Ap8PlreZqPB0qR8iuWxv6M+Fl5bJBzy2cpfqCPzyhaDm59zjTZTj8UECUu+YhpWVuKoB6d8BkPP1U5ULs47g3vdDKe+XQGnxXyG45m9rjh1QtvV8RsQ9TuXVABgqxOTNUuxmI7fLsUxwJOPFs9ZNbY4f1EYqiV78VHCMS5on2Hl5F0/abWvwbQB20domRN8YWg9AvYxA8MAu5lP3xko8iryo2nsshhsXRuiMhTocG8pMqw0RVktKVzPDMOwz1WcMtN6tvymRlFK53hw9yu7/E5YZabty/aQQrsaCcMWC1KsJ6PY9gwjtl2d9S0H50ODnHwymuw8y84flD4AHLb7aCxd04GvN3QVy8oMfAN2+sW6ZlIz/ZX+JRYZJsyr2PlcshvWiRdO3dCx4pzb2HeOOcA5v/LSmOmK41b2jCJhJLh9jq0I+1kh9TZkhrKLt012zrxSXLPtshtM+oQ1F3LKlXCMHdjbxy2Tve2KaxDTZxyyf7WhCyMGNCGZMOczujYZjvLY9Qj7PG5w2pBYNW2mt+kkjrbg6SsymGF3hqv+XXzYudMx53L1Dqs8bL8rltXV3gL9o1zQkaVypA4RI0eOtH5T74QT1DKkW5nVCXEMrjSXj2ylOAgdNjzX+jCKpEjD68YeZ8wwm1BaDgX+KiqPDqR9QUnBKtCRxBHbSWqWIMKu6iTtZyxp8YuAfvFMAVFm4GwCGw32AYC3Pl8LTxASfsekpP10gIIssms0VT8Sp3KZgTPkn5+mUEcB+kBEVSzmF4ChqI/JwCbx4i0+CuU+Z1AJoOWx9y17mlLI/PDrX2BDpziMW1bvSt9iiQi6XVFn3lASPerFIWJUpfGw++67W79Xr17NTUOf03CaakUpu6fSYJQI1OvnaiINFA+w2f/yoKqQupVFIn0vhcZsxooXyhyksRAXd2I4aQLIopVVcpA0MG0uO0VlVtanHAS8u5j9wKEK2IOeYopuMQ3nX4FsMtpyJaH4fu6ClZz37nFDyTmVc90+pjLeJeetbSh+t6Dwb2gaIyGOGa7M7Gly5ztVwj6UdPsukGGXRRPSPhYmMUFinWEuHWuOl6qys+tU8bfYaNVl4Md4Zucumvvpd5fjjUWrbXJoN7nfvs/K5tMgjULbcLoAvW5bCmJMlxtVaTxMnDgR48ePBwDMnz+fm2bBggUAgH333bdkcpUC9sFr2P5YT5ntVN5E4uzQmWwO6zvSHPoO3pqyOrF8rfphHS9ZwoB7bhaPdJH3JyzviVNht/GQpFdZKLhGgEIaW3oOG+uefs18Ihm8wC7oleTTEVWdV9cQ6YHmh/A0NWFbfrNf0jAU+0LMbLezCgNXGXUo/FxlVnOBVFB6g+5yKl+f6GWganh5ecq1kggBysrlIuLNmVdUwJ17ZEZ8AGXRMiYDtj9/R7O4uyD/ZoWozDJ+4e3weNWfV9diy+aeXwy1mi0keubd5Xh9Ib3Uw8FHNnf4qIyw+1QgpV3HmVNRK1G4qErjAQB+97vfAQBuvvlm120VTz/9NBYtWoTBgwdj6tSp5RAvFCj3f0H/tQ86cSd/6t3lOPuWudrhIaWKJslkc/jfR9/3TMcTRzQpGbY0hb8RTgSGaFWSZrL/k4hehASV714QiCfzoEZOQQghLXm+wl9JNZsKtT15GAiLFpXPb+vy8skMG1doPi+/obZ489JMHDVAnsebbFEOjnQsT525SEeBUs+gx5HdLXGF6zgTexr2AZVtFzsmVp4QT2PMw16RPi+lY9YVfuZjByYYfz0GrnotZN95q0H47k5bFGiGIJiLcQQ0GUGdegav/wQVoRIihliDuC+iao2H0047DT/5yU+wYMECTJkyBW+99RaWLVuGGTNmYOrUqejXrx8eeugh6waGaoWfzukcWOaVr/aHSlu7mgPU70DqzvTihQ+/0s4nWtS6M/zbeEQ49I9PMeEedqJekVjc1y4vjjyzVJmXaOxS0RRCgIjpppOmcUKkgLLvhhe+nC0LJbEphsxLA3xPn67hpxcq5JZPnp4xUghQX5u0bq1S4id5ZvcHiAxjZnfBEKezhU2w+Q32YTHgydPr6TxwKcmgvLD6NOydipqqcWE/SKuez2ZrcOpbazfCKbuApoyuliMoBE1L6ZwHJwlvpzUqyBwf5nvZtpiagH5j4ZWyFf56ORhc5FWIC3dcvNcJJRk08h/6x6e8MyugLyvulYCqNR4A4NZbb8V//vMfdHR04OCDD8b48eNx2WWX4fjjj8f777+PAw44oNwiBoLK4JSlCRpO4KKnQY5FrsQfSZEVJZcnOOZ/ny2kC7bgtad63C+58AhDgX9lh6doKOVTTBcGWJma62vQ2lSrlNYJU5cthuSJE/lDuB5/+21Urm1/AbMgi66MgEiZJApp7OQJ999eY4k3X8nDR8zbYKiREUq4jSULsZQl9yFd9/5euZ2Y5ebvhPNciPO317tywtZPBYLZdqXp34gKEQXd0DbKLMPOP0VZzjxDN4rqdfVJQvR0osD8ouNVClTlVa0sTjzxRJx44onlFiNUqA5Wx01pvBTyfI5/e90I5PfdnA+/FqdXCFOJOq6QfzDYm+eilZv0JiSfE1fQA4pAgMnZJ8/A285+JVZgbD8c6N3/1L3Wxd/0u85KNGi4GBuvrMAv6KiwyaTZzuyOhRFUGN8Hbwtt53VyVSMsgu99lbx0pqkw8JR65w6RSHQ/ipZKHn/uDgW6Xm3AGWf296GJImPvIx9r0PrfwWKfZXs5Dj3JWszdTVOWRLAzJ90FKh90No8826MPn5iu6p2HaodXtxPGnnvEWagcjlThqzouegRf/PXk4yuXHLL4StXDvfYD0/oy6GQxAAxorhO+lyq9GnxsNDXb15VR9Nr1Q5LGIskatJIt9IhWG1d4lAYjT11GkI71tPO8WV79VLTjwQ9xU3dUENEgEOwGSUlzHBVs/xDtxO04eiDGj+zPl497tkCvY7C7DcT2xL9By51vlcJ8OOUJKIsueEpfGIdbhUoXa4CrEFPeoRWPR9muifQZUx/F3RhJ3XhK6V1/bvr++K1Y7/4Ktwod0W9h3gqzqqVzp4KoTmdnNR+Yrvqdh80VaoqdomJg0dTTFlXnBZpM+75+mk92CxI3OF4iC9dwkqR3qRB2uQiIUj2wB6Z1QpRaGsUhPjoI7VYoQkAIwdI1HVzvlRlj787HfqRKJhPPy6sbFx2krLyQBc88Qa0065+FXSyRXuXByHXTCq03OP96l4zHKwwnmtpOoxiGYaC1SWxM68ki5u23D0XhZ2SHlE0sDWayXTC+cVP4K+EVZEqx5lX2iImfcyGKzjHruUf9eW7m8+gqpuPRLO6eBadfKQh1DASYdFwbkB5hkjHsiI2HKoXdCxg+/c1xKEkXMp9b3cVdjWiWAJVFh3f1p5qXBVa5nekXrdykJaD2gVet1Ky3XWZohs9XtV31m1/mURQbtE5wu62uAa3gaQ67d8uuqw1rbvKS2RlEpjLWoug/Xim0eHLbXrzDAcjrW65zCcJmZSnKqCnzltSikRJcMJcRH9lBCkqf/lPipCnAHsFYfEkK/yc36D1F0X4Xhf6hGmIc9vXrfRVx2FIfhOqA8/Yg6XhylJMK+fuhTVQSSWWQeBM88mqtC2zcqS22XQNUweXIrFN81esz9aB4B7gE6spY4d8+vT08PmqGQemmcwMqX8Ew4ZKduF+q7piJ6oFnC3uOD9BwIHs4j5Og+PxAeIZVcazKFV0dmjzYPfR8w7lUUGVb3K1jlD6ns0Caj0/XAH+ikc1fdr7qFVeK8BYXB78WnwDKHx7VtjAZHtYOrsAwk4ige3OYzBFj30FWoMndISLC90H1AhsNlbQR9b++7ISNjYfNAS7FgBciEoyFbGu7b6HgtVVU4JetlceGEiKvZ/6irahUKaUKLx+fmFsJkXuMeLEA9mcqnjeRR9tLZVVXWN0NJbyRiBQ5ytrXGRri9yvmTojue/csKScBGwLGtmVTvXuTmhCivPjp9mlC1BZW5/hyvqNw9zuekVE0xFRunwLCCdVS4WN753MAs0aeCpavU497V4VVrxJlUdkoUkqjUVnE4+vsbMWrGF/qnLk0eUT4u0C037odCXyS/jqQ24dBin+dcnqw0JEhipChyKOQ+qbyo4XYeOiDKJ5B0MzH2YkodReXH0jSk0YlfT6iQUx5T+N8nM7fLo28MZUXNVc++7sw50zn7UFCGWRt7koTSuB8oOxS71wgykXYFFsfEW+BjX0HLZty7TB2m+trMKxfo68Fl4YCcMUl9nQuSHZODdBdD1MlloZGFLRmyysrYMMVIeQG1yXnaTjSUgXsDzy51neklWRwwn09NMcR42HKCG98YjY7ghhRwnfSuVSWT/zMS5lXoR8kbRhUVBT4lxesLKT1LZANUerfurS1z3uqMO3jBkZsPPRhyPteiB1TYeAEmzCiG0Ry72O0IIX/sRB7ScV1IJLbgHrolS6UDTnnroEfw4nmdcrASUskb2Uxq8WvY0fbB2TGmqt8AWJnLKOLQ1Nlp4J+y8BgaJg7CSJNX0ksT742WSVpbcaNI6Vfp4fyrhPLCN7tJGoLVfDyrWzrtkQQ9Vlrx8uQ9TI53PsxvHElyBuhklg8MG1nojp+KUluekGBXE8VDnNEpf+x49IGBX5e7RLWMQ0r8LIwHq96+F19olJjSsHgDvHAdBjQrdI4bClGSaHaQc0wCkbdCjBZeGUN4rXjL4I+iblo6+5mFNipZvDaBhKwd36x2zOLQjnCiOPWgZCf4/k7i9fK04Mf2sVN79iat3n1xOSVIYmq0EJvLu+i43v8KXhyzedq4HngZVcU83YOhOcYnM41qCt8Vgbeb69sIXihbRciiNgT2x/7HKsgg6qYD837QjElf44PU6nVvV7UrfCXD1pXjENhp0cxnM35VO0grjunSB6buajh0ObuAnF3RpwGu4CowJCXL+XFl8VyivtwpfnnK02eciE2HqoN7ELikVT541aqvCVhBn4RhWdH/QYcfjrz68DBCiuVQVXJlnPQlMc7t9r97e403T29xX8IvM+EAOlszueHpzS3lEXroGKVyQ6b0lf3vfK5Zz4ZZB+EM2OM/Q0M3Vw25VriATcMx4F6Z/w1z7ssE0ZiFeqfWwk2iQgPn/qkF3RKU3ceeUtoGUE8B72LnvslDQmTySVUgP2EwZVAdbPkciqvZdQaXbtvyvl8viP8MGc2o2f7VbiWrSMer+9v7oiNh6pFwbsY4LYhGyKMz1OirBHXr8VbxbWjCd+3LenwEMYR+yKmhaA3T/Byd6azeHPRmkA0ZO/CagfVG3q7M72uZ3lGoaYHpuVngPTlI2w+546F4ZOoBIbjwx3u+mDeSToaVyqNsydeiowrPEda71LXrTifgoe+0sIUeIdsXYeanbst3F0qnkfbw70hcVi46HFJhTy7+hgbYRoztgPIChDu/oUlD69P8N6T4GuCDNIxU6JzA9pOF4UMfd0G0TIerrzySnR3d0clSwxFqDmtxYn+/vSHVgqVTs5dLHgjmninKdV1mDzlzQnuhCj4bU9D3JOl8wNc1m+Hx8jnVqy+B4nGo7rf8mOMdeXxVpRUYRjyMC5lECYkJ6CWprITA3pGgAfDShLqlZ5qIUCajDwtGPE3FZRICY5ReM0FSk3IesDB95hKstmf2bVX/ZArRX5u+yr4zojKvMptGr9nlgx+OJuTnyGZh3QQ6te7uekKHIi4DqR9RrorS7i/hQwIDYdTXet9QkJc/m2GcOZqL/rK9eYT5TbkCRDewaEyQMt4uOKKK9DV1RWVLDFChsg7t649HSlflcmlM53FW5+vLWQw0/v9mAxvgf981SZPGbx4hgm3EeH2+FlwNRz7s7AYg9aZuwA0BRcByqsyfcsXO9UFwOHy5L3hGUU+5ZJKopHPGTPvhOjmL2E4EPcZEb7zgsVH4gywdSfHlc5e3nuuP8FShNS0OGWvq8H/LU5vML/F79wZHbJbRkrhviCP3aOgkIcKupUsJwyn/DqQhSPp2qfOf/PaPkSb169+K59DbF6hMNjZodCnRYaPk4Yov2xXXHjOx8XPTst5LYjOEiP9EriEoFXkClW+NWzwPgst44EQgsMOOwx/+MMf8OqrryKfz0clV4yQwD0w7VAGrnroHSVabEdP9eTkCTzw0fINiteoBvVYsb/dipdIhFIOatE9/ey/fSu/snd0EVAIOXApXD5ryCsX+161zFaIcpm2sHll4imkfq8NdivpYoXVi4XWiCN8VV5LOfCZUdfMlKZRSMRNIw2V9I8oPMZKO5rUScNpCJnhG9kHshS82yrXvoYFVzGt3UOFXZ2QdwhcO5+M0UrhOJph7ZyI0hdp8R1ZMohDpGRjJFi/eeqd5Qyt8MFZZoUIo9fxnUF9F9pnHk488UQsWLAARxxxBIYMGYITTjgB//rXv/D1119HIV8MTRDH5AGI40epgvPyJ6u8PRoOPP7WUv9CChDmwsCrB7V84SoMfpQ8lQmZraugcfN+vJMiGYnknVQG7Rx83kHTGa4lWY8erx4pxYREW9L5Voc9n9qzsPIp0/JJgzduXbQcxrRK7LfhRyiPPC7lLQIDX5+Y20HCInRHbQDFkyEShiSBQWCOQ+eB6fIifCHEfUNtTXHRI0WiYUjLc5aEjcg2LDQrYLPZeQCA008/HQ8//DDWr1+PRx99FOPGjcNNN92E0aNHY9ddd8VvfvMbvPTSS+jt9Y45j1EaeHw3U5GGYzEWfBXYD2jeZKJvDCXubUs8MPuugerLCO7F4SGsL40GE0K8GyRzBvM9xcU/wh0lmbfT986A2GBgxMLQfo3KNEViFsPWxJm8SmGGJxDrhiRhevd2E/cVgXf8Ow/Kxp6KgsqEUCjx0Th8JBzrJZiuZN5K+ld4G1RQ+TwcHAbM/iNkQwrtwfYVjuecB9dH4gjbxp7iSSE0doOc6+EgzwgqHbcFqKSxySGjpbI8OYYAYQ5Z0DHtxcuPYs8Nb5Sk543psM+0bezKeJZEa32QhSWLhOhj0DIelixZgqFDhwIAkskkvvOd7+BPf/oT3nnnHaxcuRIXX3wxVqxYgRNOOAGDBw/GMcccg1tvvRXLly/3oBwjChiGXMnlKj2cw3fcsIygwtnk8EeU5nv87aUhShMuRNPD5yvFZzJkc4psx0F7LgoxvUr8NS+/qXwUD+TqX7vqclMBxP2xOL8HSnl8goYo2O40V0jP4jHPHT892oXqElMjasNSrEAW20InHIYaN9oIYT22zmkwz2TnRaJUAsqpX4jGzMcr2pDnXXCgKatO8lA82lE4YCxlm1cfpWk8Yu+oykpuGNO/6IYo9ixQ2Lv5Jk2fGRmwQ/nE659XNsZE6TrTWe0+VqFHNpSgZTxsvfXWwgl92LBhOPXUU3HPPfdg9erVeP7551FXV4ef/vSnGDt2LHbcccdQBI5RhFc3JYRzK5BCHh59l44mdkp6MNASR2mSeH/J+vAYcrK67/VXr1eRUr1mUwqA4mFPRhZWBvGhOK9DnAqKdJBqkxk/GpaorGpsLDjx2sJQFsVy8dJpyc4e0PV4DwT3jvv9hoR1KLogpcjo4oUROb2TMo9iKMofxysqu3jAkocX9y2hDzB1JNnRcIZqyA1n/zUQ1rczVSVQ+YRNpjcv3Imy0TK3TX0VXxbm5wUddqpRSpaPi7fLFmBe4cpk9W8xm6jPpniFBgbRe4nrhxhRnnNRhW3+E9TzsdNm4/2lMl3EgYgvW4gaNWESS6VSeP755/HMM8/gmWeewfLly62K/vTTT8NktZlD07oVDD7xx4+clgFVMNg0YmifM3D90IP6x+4K28IqExb3nlnffhIOfZ+kWBoibhI5eeE05YD7K7Tu0sg8XTyong3wWmRl40LuDZcbDHZ5PFZmiBVvLy+Y2sf8nETFaQzO+NdDNIu/JZerL5lgneP2JI70MuUcjvp0NArPicLvt36hYRT64C07POu62Y3DTwb7eCy/luQsD0XR+BM7Jcz37npQMY51vdHSXVxOV+RB+k0Vp0EiM7wVILu23Pxn8PEfhZKtS1KlHB2prCOPTADSp7ceAhsPCxcuxNNPP41nnnkGc+fORU9PDwAUDh4Z+MY3voHDDz8chx9+eGBhY/AhUgj9DFrlPCGeeVBip5meH/us53EPWiaV/Moebk2oxbyG12o6lLx2borGZPieXNW61TVc3IwEv0X8dIsjiB23G0kOkQy9MoQRA0zXxyB9LcycOnJ4hqfpeP2jUH4U5qogXlvnrhPfUJXT8HPlaFTe2KAfX+tLEJXVtr6HGE7Eix4Nkt9Gq0IaRGvuUExXKWXzA23jIZ1O48UXX7QMhiVLlgAoVuygQYNwyCGHYPLkyTj00EOtMxIxooP2XMubP2zhStFO4n7g15vnVQYFR2wgEF0tA3yZrUfcDRF7BtV4U12PMqeraCGU7uRQZGy+zYAMCIGeQiiiwZCRfejIvnDI3kl4KynwDtoOdry4ZeKoaOk4kZRR5szg9nNil48bshdBDLWdBq0PDjhhWqH0O413xWdqjOWKmT1sTRe6N4Gx76R7eK6YHPdzJeNV4aEBuuvgcGqEtP6pnhvi5rVouIUphluZ72SOvzwhrnMqTor0AoUCQ8c3X8T9PcgczHXylUjx0GkTXSW/uP4Wn/Xm8rho+jxcN/VbesQqFFrGw+TJk/Hf//4X6XS6uIVnGNhzzz2t3YW9994biYT2JU4xIoSOt9HvwA2kbDs1LvaVI4k2aX/ZpJAttKoOZ5XF+sNl6/HF6na5LAEq3mprTuyla2ER8Wd+H/rHpxQmRsMW/hPGOlGqmFiDw0lYL5yGiXpJVK6HQsy26LyCuVPAyWYzNjmhjcyjlMIX3m1KB2PA+Lm5ySWLF2+GgVe9ee3Gqny4zzpCEUYIB4+TU1mRGh3sM7lCqQLPMonC7AyxXLz0Qce5OHyXw0wgi/PGJ+udzOFjMvekL6LtBZmjiD568u1lePGjYNfpF7sW6yywv1OCqmNE4alOj/hw+QbsvNUgjRzeSPf0oqGuqEaLLqEBgGyO4KPlG0LlX05oGQ+zZs0CYFbG97//fZxwwgnx7kIZoKJw8ZLong3g8zYpO29VDbLYB1WqpIuXpnZq96LoL6zE8dvLcCMg1uFpJ95evBYvfvw1XxbFYoWpsEq/6kzk6ex53J5wWb3zZZHRLz/sRqTb467yZWKZ4SzKSgTpdRDkzBL9PWPuIouYMBaf600t1pWv61/D2XpwQXQmp5xRB7JQ82yO/wHXIAq4y3BWbCDhBpuiMm0mLRhoqvNeSOFpJm//eYNAu+9L3rV392D1pm70b6p3hYfxjAH1mzzU6+Cr9V2orfF2LAcNgRLh4unz8Owfjijy0czPs8uPuuZZG02ZLhKmzlQJ0DIeHnjgATzzzDOYNWsWZs+ejVQqhTVr1mDy5MmYMGFCVDLGCAjnQWFu9+YePiTi9JynKoe0+EoExC9DhNYHwFivrGFXf/R2cuTv12xK4esN3Rjar8Gd1+Ivl7GoZKrJxVdGyzuVFbfe2WdKGW0IzcPrQ/lwbvMD4jJYSZXivN3GljyFGikXT1IcI+buUNHbKuxbCqFvVMlUaREiUcmlc4fkHTcfh6bNy+0RHiPz8kplCeDM0EFPby4wLV7ohTS9ZL2I5MxHBPQIwEwiEoa8weNBXG9Komu2vgPLzM0xdhXHoJVY8IzbltKQTBPXPTEfIwc2FZKLDRgd+O0DpTxrILuGvJzOh6DQii867rjjcMcdd+Crr77CG2+8gQMPPBCPPvoodt55Z4wZMwb/7//9Pzz22GPo6uqKSt4YCN7xvZRSWRxi8YYTCX2fK0Woi4FEcaBQjiuX0VCVR8SDO0cXH+rQV5I34lkzTC+dfHeBqSNNDxgvXZ2CR8x5PSh9ZvfcKRpwsOsoKrlUQwSC2uKsl5cQouWtlulbWjKw5ygUecng75sRxW9NcD9UZaVj+ajQ1RdFFWGQdl8jTDxpexXbyqvUDP6dIABwyt9e0KJuG9eS+Zg4MzhkMQDst/1wbL/FADOZgJ8a/BoNsM5v2F+EES6nLgPgXw8ohWLvRzQ/YvXlA9Fe8H04gX5Neu7cuVi3bh2mTZuGbDaLc845B4MHD8aBBx6Ia6+9Fh9//HGY8sbwAlXyFZMS9h8CqN9Q44+GzGMlZ6jrxVNIb9VfeKOeW3bOM+nOjYwBdyeh8DcSRYVjXMrFseD+jkDhuWJ9S40TSWiD1ncQBHyIwym+Yl2nhIbbIx/qdryoPH52nwijMIbkmHD+29PgESjgwk03JpGnE4ChzRptIh6szJ47KuwhU5kMbB7BO78okmTqRJGD7BC711kAVYOB8B5K0vNo23b3PCpsbXtaLpdnnJKilS7K7jS22P4nW2c56d2iiR17vKx+50sdeIapRrAI+XHYOOF7qlNRIzh1W212RCgnm/v374/jjz/e2pV4/fXXcdBBB+Ghhx7CLrvsgq222gpnn312GKxiwMsjy//rSVOTT6kGgsrEoCrLJyvaHLT1ZCiGfYm3H52RK+aH+hT5+PCxBrqKMYQ53cXdB1HRFaLSPsk1ELgSKYMU4vNV0Zt3G5pULBrf6s9/aAnE/lHfqXDEmzgNOzM/sc44F5/5g7TJNVdPFcOP7ohw80tKUTRU1RGa2iOrByL+4KPswIuKg0DZ88lJ5zmUC2Ftwjnay+PhdCRE4ujQg64Irl0JFOcDYn+oSd/w3fl4bZ7q6cWGzoxdBkVDTgXstKw6HXil2XObIZ75wtRDCOtE4b1XouE2PKPe7S8XQr8WadmyZXjjjTfwxhtv4JNPPgEAfPnll7j99tvDZhUj4Gwr6tOyD3bJ4/eCDRLfyovis1c/W22+U/QEyWgppTHE75W2dp1aX0TgxyiHUy/eROxUdHcgVGNl/SiOtvxEL8yvVGECOm2g+72F4vkR+/Mn3l9l8uZ5qTXgpRCo9AUeCbXIGL3ey48hJ7a/USDMOZGbTiJ7Oms/NyGaJ1xrgXSXmebTXy+Ch+t6ecjljLw/Lunk5w9BexNPzC8Lu6Rh67FexoLJU8Vr4H40ekgLJeCmye6y+SxUuW3VSjCWg0DrwPT3vvc9zJw5EwMGDLCe9fT04L///a91kPqzzz4DUBxodXV1+Pa3vx1/JK5MkG67Cw8mhm/mt1Gvh8STJoM0JEqWT9Mr59fjwvt3QhLSMGpwS0EGGlOtJ0MY845trST8d6o0bB44YWa7J72IIH7vEOPsw0inaEfolJhXXbx+7br8xsHYCqWS3O1fjFRxM7CFExlUAWR4SsaTntFSvInKfnBZkJ7HUP5IQsDNjxtqRN/BRxkjUBqK3+UoEtdSqmQbI+4kWhBuqjjDe+jzEOpHRsJdL/Y5mBMFxqTkB4Tx1zWmLSTyUNTVJhkZ+aSkjjKiZniLaIl2gE16PAcYs+PK6T9cw96w14X0my19XLl2gu9g7Lu7ElrGw0svvYRsNovFixdbxsJLL72EVMq8apJ2hLFjx+Kwww7DYYcdhu9973tobm4OX/LNGMXFOqin38MTo0dMij8+9G44fDiQn6fwyquf2XZYV0pbTCPpvLcNPjxxzoVMsyK1b34h9t9+ep9KdIba1rZgkVNycgUxVDjbSTxFnr7yKJeOJN4hW47XyucfAtSHTRPg0baHW5UCvGrSPcjMnlnhX1HM8bhHAJWQMMuQ8zCCKHSlFo41PSJ6TH2cPF/Z1m3d5iNIUhBFprCqzQ6iGuEr92plb22sZeQo/uXv+PB/U34uY1IWjsOZPHSay/sICWF+q9OV0hQYnjpwmZAeXa5odOmum1VmBRWg/YXpb3zjG/jyyy8BFCuloaEBkyZNwmGHHYbDDz8c48ePD1fKGHzQxcP9SO1glkc6J017HJ+aiDqQyywOpYqCp275eMkTGkREKXk7E07IJzOe4qOSii8HEM4CIC4v8w8uI/nCL36nJ496GYsKA0uDF8nh9txJqNrq27+RJ06kJozj+ISDRLCOEMb1wF6KoJi3O03xGS+9wjzpmSIcRULmqef1RW5CJwI4YFzkAxrJPJoqV+OefuOLtjv3hTS5fIibh0RoWVmtoUvnbjaNCk0rqea410zpFTErjEzw2Ydtc5rjbxD6hBCcd/srOG1SML0zTB2/Os0FO7SNhxUrVgAAxo0bh8MPPxyHHXYYDjjgADQ0uO+pj1EaiDqq4jd81HhYDoyiR87OzFueQPz9UtU1SDy8ul6wK5CmYql7W5XLU8jEqhuO9Do3zbhklXqj5HStbwBw8qlWl0zZ9gJP0dNWcgTwHDeMB4p6fYuvqDeYicmVMYJ+2RkR3AqHz2HiCv0xmJ/WzoHYwpB/dZ3/QTwv5UX2zvntFds7gQzWb1c4l9OIoB+247h9Jfas3/L4hS5NAgTa/tHesdAZCyHwiwrOsaa7ExAWf/YfXnMG7e+bunsK//ak7Ao9cq25bGiqhI55CZn3RzDFFNRBy7Vo5Sa0dWW08ury1IoCtDlaVWq/70HbeJg2bRqmTJmCsWPHRiFPjBDhtWPpFSZTPBwdplQ8PqWlWfR6yBmL4z/Vd0F0D/SWEjIPzxer2z3yOv6txE8hkSoNlpZRfBeorxLxoqfcjhwFI6jX1QXD/tJrcfJT79qXHzBtwJMB8DJW3UJKd2ZY2oZhy68U9y2g6ZnImSdEBw0POp5ZYUigDj9enIwKAWUHCZvFDyM9JDSvhNHc7LTB1b0j2GWSkXY6lgAgr2BscMeC6vC3DGeJk87ageGYHdJ1uu+p17qhjJViIPuB9m1Lp556amw4VAiCelqVPeI2r4rbm6QlDJ+D9O1GTY+CSVHkJVGDrld89OBmNz/NkAoVhc2qd1JMz9up0OHNS/7pV22esnBpMzUwYcsBrvfuD1BRmTjPfEkQLUI1pD2UC7HtwG7/8/yA3jXHV0pl6X22ho+wImunjdn9cObTkiaEmGtrrCmklL4N8TsPCuHsoUA0HnW9y4BcyXTy83qmQmSHUQM9k1pTqtPwdy1x/sZakZxaQ5k3WIkcETaXtpVeRsv9TEkMdz7Hv531Foi4hI8XVD5cGwZUihbG94T6CrSMh6lTp6KxsVGbSXt7O84880ztfDGCQzjxQHec2z1SpbokgBDgxOufj4Q2fwfBrWgY1r/FFUa/KmqnZdKQKmUKcdkiGALlShXaC7+y951gh1EDi1ftecgQJGyHRfGjVhI5hdtwBhNmoSiDEhszBIY16KhyoAPnOBZ5zgng2SGocu5cvJyHgJ0i2m5bsuVT4KfRd5xBRcUxoqB4OsKPaC7W3BLmVZKQ8uHz9EofxeHJUD5oGWCOUj2ozbJhX329ocuVnufEL8536o4hridYIJdKH/V1CxIjh/Q7JBp9oyeXd1WwrtFV7JNURvc7WT5VOB2O/NvL3N4jVT6l+Ehc2Gf+gL5tOACaxsO///1v62YlHaRSKUyfPl07Xww1iAwE55a630WGf9Wk4XxQlCEkz4ZneiVPgC9RuIVWWqx88vYK0SjSLP+UQyUweA9VvaEKXVGmfPD+TZ3VPIVGu96kChMzxpjn9IyL+41b1kKGaPuwix+tI8P6N7VpnGeZiudvJOcZiGMekOhpyoqAU2SFfiJKkurJCd5waDhCn1SnSsMx+4YOJU89azAV4dekELW3ZiSLmYd3aFiSXgd+50KpQh2gDYVhY4o7X9xX1i6E/e07i9eKv6RN3L+tUD5mjnKNNYeJrfotBcKlxRfHL8q/6unCLbFuaGalQ+vMAyEE1157LVpavD2KLDo7O7XSx9CDqodaSsODiOt9iOGqTtp3vfgZthvRT5m+fGILPu24FVZFLyrjyVY5I6DydVwpP94WtUI+rqGkotRKZfFIL9PTlDy5rJpeVHkNg+8P8RwjgvS8EC/rt8FPAxS/MK3DU/UdH97uOnc98/kQTlrCeUicRHlt7sdo0NiW8W1YOc6McD2f4BtTPsQMZR7ygsGbaFgZfI5pUTa98uu95MoRdRUSBw/nnO3uIq6X0cjIr+jeXN4mC29HM7obm9hMPnKF5FgLAp4I5VDmV7V1Y/iAxpJc/RwmtA9MX3fdddpMuF+hjBEYQSeqIE3CyxrUSEkWCLy8YCWyhYlRBbofnlP+qrMCvL4ToeodU2UbdByJ4ixVQtp0FUE/ktq2znUXvjK4p+y7DewL8w/hbYOIEgugq0jJPatq8NpRcNL009ZqBjH/uUq88PD+jVi9KVXMQPMKdkic1yJXwrql2pba11s6H6jM3bxnmnz5xmp5/cpFA7Hwb4+6YG00kRffD/4/e38e9FlyHISiWee3fWvv6/SMZkYjzciWZMky8rVsrIvtZy7YjwiWR/BsiIAXQkQQhCOw8ePhCDuejcMIObgGc4H7AsImHhAQcIX9rrlYxhKWdY0X4V2WLC+SZrTN0rN0T3d/y2879f44p6oyszKr6pzf7+vur+fLmOnf+U5VZWZtWZlZWXWKHEwZuWxtvGugFZDPQ+SdEJgz6YZATnvVGSRyIrxcR/jeukZil2nxl//JR+A//j//OOxsjPKZ7yPoZDxsbGzA4eEhnD9/Ht7ylrcUl5vNZvArv/IrnZk7gdUg/hqm84Trk0wLuzlK8e5wDweN19gYgHpFTXBVfsVFzro0HP+Y3i3owkc4lFngeS/FXBh+syrwOOQsbh711lfu9xijWp+5sCctreRdmi77u0MBfG7AgEm2r//at8+SpqSmatcy61kF3MEbGt9GU4C4IJt645GPke+BM/pb2Z1DtI/CeMVGDX6X440WWJGxNfUTB3XOR+deusMqsq2ouZRM1PnRkz7EBo2WT09jqZm5XGLUaXZFau7loLSfjsKEvxtugWVt4YWb+3Ii2T0/ftDJeHj66afh/e9/P/zzf/7PYTQawfd93/fB13/912fLPf/883Dt2rXeTJ7AapByJpR6O6LFVPLeFcgB8cYKp+wg46auqTKagqPyDhY5YQrKJ/MUlgsKoZSo4+oNqzSpM7KKvJmx5yqZ38bjwpSstCR/v8pp8dsEm2Bguje9+4eHTqU3u9CzouBEDy1OYQthZYXYz6GMAUM8l0Hm4M85dOXFsOc8DwlPrPs7lRcovyqdzN8OJkPlSCJuK6MYkugGmmKDHtp2V0Jf0mF26/X64gsH8DvtsG2XOa3dQJQLzc19hDI6FC3IqmIHR+bvFIhRASla7lxFXycDSiV15XPHWjicl59DStI+Im173WjvHM7hg7/ZfBtNar9VLz25l9DpwPTly5fhR37kR+Dpp5+Gt7/97fAt3/It8Mf+2B+Dn/u5n0uWm0wm8O53v3slRk8gAFe2aSJ+XG1Ipkqv5YYPBarSg6Ql9evqHV4HEl/Kqoq0r59XNiVPTzCmNJAPs5dxbBHtTqtVz7jq6PyA90gbeYE9IqNN3XnI4DX+H70cv7HJ6ePr8EiKV/PKGlcOUWaXRfOqlocyUXLlhpNTXtM7K+W0S6GrNPOGwjrApj+ylyrXFVQqyXmr4TLkN+TXjd1gfOn0Qjm6w9t8bPDo1CzttrUkRe58Uxx0ZWMl4SASALVOeMd24cqbK2aw/GrZMgqf/MIN+MXfez5bls/9pNG6whxc1SBz8L/+l0/Cv/2FP+yN+7hC5+88AABcvHgRfviHfxiefvppeNe73gV/5s/8Gfjar/1a+Jmf+Rkx/9mzZ+EjH/nISoyegA4k1EhK7xnPWky0C52kUhrw3J0Dhl3TY55S18+5Es6TqqXLmCkP1v/dTVpKeJOe854Q1U9TOHJtLi6JEr30+FjVuBXbrUN5oviA3P9JI08LxSlgxo8VMdSmUDHp0nyJU6bEtonCKBXaHfquxCtO8he0Gz0UnTDcvTHXzYnRaWT2PcuwgpLdpWiJs0AeHqvLd4n2j/7n30kUkF/jb+fIV4YmDFnvcUdjRunhXL/z3beGn0R+oVwJ8HLFxe/SobKysLEOedcAv/XMy/D7z95saVKin33hFnzx5b2V8B/HsKVexoODCxcuwPve9z545pln4Ju+6Zvg277t2+Cd73wn/NRP/dS6+DsBAXIxsD6fMiTFL0e7dwquPnO0rwJXobClVWEVLGsL2SA4da+K9+SlwlLEcInOq0D2TV/jzYL2FYI09BWe9JrK/t7qOB5/tc437LeIpgLBwMzXrwvXJTst7tsPWqhHURWUTPK5pnKvY+BB3tnQFP/Gg43zxW0Ry1jZK0wMwMz5J/xbBJkBwo1EfpC37xkT/fzKClBkYDlFXKOfx/HTv/H5DkxJNBLrpvLsXqTldhntVcpj4IatKRBIxTsNjC/JOZLDFa03sc12pLtMAN3XnJdvN1fjyg65PK8lhuBxgpWMBwdnz56FH/zBH4RnnnkGvvVbvxX+yl/5K/C2t70NPvCBD6wD/Qlo0NXjYPW/xcVNiesFiCce/bha7I3pwldzYFrnYZ1gLcBvfPYleKm9M9uH8kjhKQIrqbMIVnkfUkEOgznKKosBsfeX3yPtzWx/O5YrI9z86EqnTDt1j7sFFLYUxQA7ego7JHuHPsp5WCM6cdiMUwoAGQjSnI8VbzmEpXPfWBxDLoDpsAvHYuI5z6bd5ulqP/Y3sFeD2NBZESEAqnz5YeWsYac8R/mExE4bX4U4dfrUaNH6lYR5Qnflswvw8ZoCzO2dw0U7d5UGsHrb5C+FKw+L5Hzdz1B8I2JCrqbWBBVfEdX7F9ZiPDg4ffo0fP/3fz/8/M//PDz33HPwF/7CXzj5svQRQCeLPLsAOpx5VJLoWKd3wGGqBE9nZ92jg9Ly//73vwq/+HvPCfxoplI5D1nyug0h5gu45ecuUHYtXyGuFQv68sXxJ/orudVL3a65ZBaHbeTm064D5fDq3hRuH8yTNCXjuqQ2/DB6KrzRedD7K0SaaRXnyL5fk1bW9TBipABgXM6T69JKNWOfv/sMSYW14TRv6HVB3AG891rAk5NwyZ23Ljy4Mug8HKb8//o3/W9zNO0pd2st7dcOYa3FEqdkrJBnaszJF2aU9L4QwoiKl8yV0SBWF51TJGkcFnBHcIpIdCz3WglfTVyZNeC4N7BW4+Fzn/sc/LW/9tfgq7/6q+Hll19uJ+O97trXJqQOIok3VqRCItivBGs9QF2oHK0xU28BlDvzoOXndHP0pXRjjNzuuXCHImWnGy84MSirMR9q3Pua5ESZF3890Cjb/eKb3TjYmy760dZCPPBCrnnKwO02xDhTZ3dSkGr3TkqioBiKnuECJa9EJpUYrVb5w4Bhtxn1A9VASIWYsLSS3bq+kJvv/LmvsZbMm3Gy/NbTL3fAtj6IziloaV45L+uoxvEU5+1g25D8OGxJkrmGFSjtczGaoYtvMxHdkETTMkzucOhqFJfQuUtwP/DQFdZiPHzuc5+D9773vfDkk0/Cj/3Yj8FsNoMnn3wS/vW//tfwYz/2Y+sgcQIJoJ4J9N5AUsKoN/UkBIiXQT33ymWjxqU1T1Wpa7UvPe7JBVzn9U1jJ0il4Iv0Yl/mZYl3Z1wl8CJUxGoRdNmK7UK2i8LP8ReEzRcl828nyMYaTUzuxHltodmd6BotVmJ4teg7Qanh6Hi2DeGGfk//gHZmQs0P/ZXhdYz3/jt5q9Muo9OlLQsdCUQr7d7RxWGeBU4qlYZ2FqGjLC2ms7Y1SDH0u2EpoJPHIrdhN864E9JC3M54R7bMyMnwkLgCa1W35Yl/ux90/sI0hmeeeQZ+6Id+CP7Vv/pXsFgswFoLTz31FHzv934vfNu3fRtU1Vo3Nk6ghUiB0vLxhEhpjvddS+eRdhd4kr4GXPAgfHdlXqux4OzvjmhLDg/nFIFnX9mH01vjjpQxDwVQoNwVh8okXHEpLx3J17GlSXwwOjwq5lWRaLyg5w5sRV5IhKuzwu/nQqaPsi/a1x13y2RaOHyruBABelYEeUFL2OIxPQIPnWun1KM43CoBUltfObMJz988SLOUalsXTuSMO6VcCkXJDoYa663gSNEoiZRUQzK5DFqz1ufRFTjcYo97er0yySA0oGUtGi+pduLlpDwF5Uvy5vKRV7qe3yTfJzE6XdlIfbi2z1AsXQ/vV+il3T/zzDPwV//qX4WnnnoKfvzHfxzm8zk8+eST8G/+zb+BT37yk/AX/+JfPDEc7jGUxFxbFGOCLzcquXmm72Dve4j6qCEWcN1qqN1GgzCq+friV3k06e9k8EVnLYIrQXBYIeXeQPIsiBLUVEQnBSULbYqMO99Q+r0GsWvEMZLyxAaLvvTQpOQFLCmnGk+phmu3JfoaWJ50YZt2R9zilBTpjGdAc45I9goxfBRWeJ9sjgfwVU9cVHI7XE3b5gLjpPqp3bVmyOFs+BcOlEJG7khXRXWoQFqh1mW1tTodYuyyGjRTQQ/5c2cXjmLXLB7KZet1iSFXRL9PmZSx1aWfuw0LDUsxLfzrYYUFtOu5rPsJOmn4Tz/9NLznPe+Bp556Cv7lv/yXxGj43d/9Xfj2b/920Wi4ceMGfOM3fuPamD6BPHQXCDnlV851FIuUdHuBBOuacAYASYY1IW2hnzK1vpCwCDegRXANdS0JOXrD1dMJbrqBpLCJRFUEae9RV470mNuwpZ+JHtRh1f4paY4CNKUbAV3pFNFOXLfqxnLJzkAIOZOVFnnn1BZ4SZkCmYOj1BK00/uOdFF9hHKI6d6KplTQhb2s6BBYV/4onRmf4hg+Qi9XTsT1DgdSHFEpIz53tmBVLzo1gPvJ9rU4wY50C4DW4X7ZgekLncKWnnrqKVgul2CthTe96U3wfd/3ffBt3/Zt2XKz2Qw++tGP9mbyBGTQ5tOf+eH/Av+3r3m9sCWtT0C385DyjqzHQ62/8p7w/A5vnkxheQslh/rXv0CUeMZIewhg/D/dYZW+DN7otMFplGzygX3tjxwv2BtYAAUSO68It/0jKBVSnx2Jx7eDYZDKaviv4fXpdohaCk3mNPK4DLhrYGmmbi0phbNJPDbnO3QjhbSHm5sdeVmr0g1yqNJK6JEHdGU5z2QA+YBaYke8vx6+2gwLoUiF++KFV6nhVwYMgEljT83Xrm3Dx3MIVcR00tsg2vyLw6GbvRVKH6J3faHLxQF9gOw6pXN2xpl6d9zDljoZD4vFAowxcP78efjqr/5q+NCHPgQf+tCHsuUODtJxnSewGvBQj312g4tuDNxnQ1bwPvTeyhXCDAQyAAAwXdSxpwXnLxYujI7F/Mtl+3pkKZ30ItAHut597XLX1rZbyVipT/QFo0O+zFxYLSHAIV1gzSB95yGnMDe7EV1D49BzQR6J6Lq/TZCLmS/d5Vqle7ih5lBtT1Y60pen62jisZjzfHTp8sJQtbV6MLPhlwHwtanropXLehQrVt8wlMgILcXfASzou2/c2JBkbqcbx/hzhm8//jN5e4c4dzWY+u7Yq3/0h85r+HrI3lXoLF2/5mu+BsbjMXzuc58rLjObzbqSOYEVgTmU8vmF7fyUopGaqCXx9qn80qLUPx60o8Lfj4yCq4N7uBD++Nsehn/7C5/ux5BCWop2WJcXP0scWu9uxnN3t2FV2vgmErzIlpePDbNSSOb3hjB6JbyTeeq/zSWHIgh5LYCpaJo8Niz7m8IbrpyC0TAflZu7jUf9YBgAgGFToOduhPv9mjdeAjAGfuUPXsiWzfaE1MESnj6DE5MRFNZANvZel6wNapY1WQ7FVeUZ+TqVw3WEDotSOrnrXmNUzkrTd4dTYqCrc6Krh16CdRmUOfmWcsK+Fj9J0Nl4+Mmf/Em4dOlSpzLPP/88XLt2rSupE8hA1xuJSr3cahx7QZ4+wAVO57jzFO67Jb+Vl/kr6Arxt2gePredpb2GqK8kD6vmWScP3FPmDmSnkcSv+sTsd4E+XlqvTLVx/fTWmljVcgaHVn8amhS+Du1CkxpDx0T55fpgRvXQJlqG5qG3l6B6sHKSUpqkE5Uvg7DbaYlBK9ZsjcauVq7PPI7y95DTaeWwB74eTEh9yNsjOQzEHRTZGvfzwMZpMV9snz9h4GOzqmi97BqWp+KJUcoXOPSjKyn3/lXBvFh3xMOqspmEIq557OfgPov96ASdDkw/+uijMBgMOhOZTCbw7ne/u3O5dcN3fud3gjEGHnvssXvNyr2BlNcHLZRdvNDp0JJ+061IAYS04PZ5knT0EJlSQytGyspEC5UQFM7peI+kbVHSbxDQtBiVrJJxPtKGTWnX8asLS66nzUG6Py39tWWG7OoLjPycuPCqDG8PXkRFXdg5VMu3o0a/Nx9XNocrT7PArBDnX0rJiGK6U7QLPeBSv2rKIuW1oxOnNU4In0IMVPaGLTImrSgLUjxwHFo51RjtoPn01FMzOOU6dIWw+cKFdUc8/txISq4m0hL5S6pY0g7aGOlyvki+rSq2yEp3NHNQeMSkM/Q39mnJ0mvMc3iOG3TaeXj66ad7ETl79ix85CMf6VV2XfCxj30M/vE//sf3lId1wdpC3EVPJkZGceI5nPYe9JsUJUqvWK5rg3QUjMGjW8KM+KjiX0WASLcZ+rREuT7CnNzrX4goNpTySgh1aK9u3HTJT5VmjdeUQhs/WwtrDkovN8pLP5Al7TbwaBbtNqI8D9ks7MyCBWOq6L2KvyftOOxJMDDYZDZCGne2ZHlew7hthpR8Ix3lJYTOrQLJ8vqyQd9xIwXNi9K53BiU3aCjyJbHOXNYuELU+bQmTRnS86prGNIqUDT/rGXtVwbHW20ugNdAGNNr4mMMs9kM3vOe98DDDz98r1lZL5QKbsUz1sVTxaGvPpQ2UtoFGXstCjgTb+/x5ct4OQovAK5PirYGYfHvxhv2BkcOIX97DPX2RmOjYzgVRpTa/tfutS7epbobMrnj2JZYz94otSY6Yr6oXLpg9uNz3gvfH4hS6+liHuJ8EQ7OU2bbQ5aFwq5FxiDUlMuoVGEHrfJxvoaMrKh22alYJU9XSN4Wl2Gi1FFRAtloxlZ2eb4kgwfyu219w3JiA6vUSdDSRbLV8ZC60hrvauRC/aRvddAwSvm99LcEfBdNz7e+Aco3+1adlxg02fMgwWvCePh7f+/vwZe+9CX4+3//799rVo4E+g55sih28Z5JuFbQ/foqrkX0ChYMkYl10Ia8sEstNKWe4z6gnmtRwhlKQSyWUvDEtS1hdKVodwwJkKCPt7bzl5/VlzRZC1lInp+wttcgSYUKagfay3Er320RjS6UbEtlQcAf394lZi8Dbngb5JRgnuc1bzh4rNrYyhoKCZy5113Eb3I+SmRMOh3zUHqbUWfo3XZlEIeYroKLIilfZzXvjVKgg4YfYcbGHjKwSsDN13//S/ElICl5vt693Dy9FPDdx05l17wrfTfhaO+yuw/gk5/8JLzvfe+Df/bP/hlcvXr1XrOzJrDRX9rYFbdWcVm3GEIsAFYXov3AgEl+Cr4TDykBtN5T3zHNEk9fyc5KQnmTFMm7Jo9676ioxfOhdIV0urZBn7hVKXY9GD7t3zSxIwVXTh+rvULQDEBdAwjf8/TtLyrjPcKIisMsmHIkXX+Ly3NnR4nhqM6hTHqcU3Z4lBq20bciUp6bYgNqRUiILM0r7M/OdGAw2cYFfUgP6tM0KX8SmcOZo51sm7g9UuXSxhbChY25jrvApYZsbl5E7xNhZjb5lIcbd6aIjO404r/rgNy8PUoF/zjf0vRA7zzUdQ3vec974I/+0T8K73nPe+41O0cKJcO7i0Atz0eVpVUAoy6rT57pnBGihdFoFLPAPGuNolOGfdXDt55uR3mEvdwBh2Roxu+0899dF/S+IrTI0wwlIXp55dwYYZ9IqX/RjlLXfmJnAxyK0rCidS6CDlMWZ2JAnNkee1w4W9K41PhhmXN/c/b6hpo0xrsFaA384h2INcvL0H6FxlqUp98MTBp5HVHmsnNHSW+Zob1v4/eTXaPt2GZoirKjKxIBZ1OMyW7hWaTdwemUWkctQKfOlnZV1yGb1iHe+t8ERZ0fYg7JC3KM4YHeefjRH/1R+PjHPw6/8zu/c69ZORJIGwP5kYmnSYmnn2zT9z70ILwSlCmrP6xKjgpXK/+CkMdDquoWCXVrda+O9K7D4ruS3OGez654hcYqMSwAVhHOlE5f46T30lDgmey+3dFNwSrJ6wzWVXAAdDAOWpwlOzcc1dmdCTx6cQe+9PIeobuuqxzTFynwP5sXD5/fjsKlSrjpe+NKzJfsfSZZSnhyO2BCEn5XcstO949jlsiVMpx7h/NOtFOQM5D6TGMJ4zrGr48+TBikJU4IcfcjocNalAe3w3M39mE00C8ywOX6AHHuSGvJiviTgNexgnGZ4oHfPpiDk7Cl+xCefvpp+N7v/V74u3/378ITTzzRC8d0OoXpNGyn3bp1CwCaHY26rtfCZynUdR0Up9o2fyMe+Ha/v7rP2nibvAXiAWDl67qG5bJm79DUQvm459rWlvySeti43VzRkGYDfsY7bndffyHNPUuCyPcfUX5r0q9SuSVKi9qr5d0CRO1N8kf84SrTetSobyScLjEo1K3CYJq2MSC1t4Xa2mhBsq5dVKlH6+AWt9B3gXcLtq0zVfSttfDS7UN46OwWai+m5Ah1JVw4Hmoljxs6kSGm92vIEyoYt3fzj6ubrxdHhzu0/TuMEYxL3vFB1SBtS296sQi9wx3GiTanSX1aFdTW1nvMnczAzUfaAbMAdG6G/pMXfvm2JvyMx4oV0+oa18u2/4V2xryBn3PtzoC1YJ2xhvrX9anDPR5WUNc2hE4a2qZcJlo0nyzXuIS64vmI68yal+SJmrSl40PkMIG4Ofwf0i4BH67S/FfPQSGNzvnAKR1cP/bOhuJc5mIyn3n+ls9v2fzzclJYiz1OtAapMgPoWA5zPdTPl0NzzKBg97puxwqpgSCjGW2yZkXjPMz7mtWZUBHWBI7/7Y+dh4984lkyVsJVt3X7ns0LS+kdzpeEd2tb2WStvG4qdcbjQew7QfZaoHqXxesny5/SzUj7tXyTtZjVeVnXULE5LY07LmtTO/eeHnt3t3VKCbrw8MAaD+9973vhy77sy+A7v/M7e+N43/veBz/wAz8QvX/xxRfh8PBwFfY6Q13X8OqrrwIAwCs3bsD10Qxu3mz+Xi6XsL+/DwAAe3fuAADAnb29Vtk1sLfXePZc+XrZCIHFcgl7+03avv/dh8ViAdevX4e96QIAAG7fvu3zuLKO3vXrL8KgMnBwcAjzeeMlutXmv3X7VlSPV1+N3znazjibzWZwaJpBfPPGjYaHtl7Xr1/35e4cLtr88yjtZlvXvb39iN7Nmzfh+uYS9tq6AgDcubMH169fh5v7c9+OeJIDANx4peHl8OAQ5vPmq+kuj+N9MZ/DwcFBW9dXoa5r3344/422Xsu2Pes69EVo732f5nA6OtPDKcxmM1jWNRxOm7Ho8lhrfXvduX2H1H2xXMJ0OgWLaE+nU9/nTnDz8V3Xtcc/nU6hrpcwm85gYJv2e+WVV9o634J6WcN8sfD53bhw43C5XML+3j6AtTCfzYlh3LTDvu8TDq6NHO7D6RTms4YHsBaWdQ3z+cwbeg5cO0ynM9/nGKyt4fDwEJbLJSwWALMZ7deDwwNYLBZQQQ0Hh6btg0Oo6ya/a/eDwykpN51NvbI7m80QrjlYa+GwrQeH+WwG81ZR3dvbA7Dg+Z7N57BsFYy9O3fAWgvT6RSWdQ2L2vpx48boK6+EsTZfACyWtilf1TCbTWE+X8Ji2RjTtQWw9RLmUMPh1MJ8Pod6WcOytrBYBC/wbDaDxWIJdV3DbDaDuq5hPp8D8rUEXpfN+OXt7sadhTDm3YI+X8y9wri/37TRnTu323osYD6bgwXreVjWTZ8sFguYTqcwXywA7NK3+2K5aGk2feZkxv7+PiwXCzg8PIS6rmGxWMCytjAwBsAaWC5rOJxOYTZbgAELP/2bXwCARgYslwuwtYWD/TAvNGPQ9cX+3r53/BwcNHNsNp1BXS+JowqgUZBms3nUbvv7+2Ctbee/hfliCYctbTfGprNp08/LJUynM98X1tawQOvFvO3Tg8MD36+8CrduNe1+cHDQtGsLy8XCG2SzysLBQdMHbp05PDyEedues2mT5uTfdDr18setE2GONu3QjOtD32/L5RLmszkctvPv5s2bAEDlvgMnj24h2evWBFd3384t7UUrs6y1zXht5dZ+O0cPDg7asTOD2XzZzN+W1/39PbB13Yy9tpxr98N2nC9qC9ND2sdkPWtldsNfk3dvaNv50aThtcS1n5P1TibOkOz1+WdNnWfzOQzAyZVWzt6+AwCN7HRtM501YxLz5+i5MT6fz2B62Ky/N27c9HVoxuEU7LLZqeB1Xi4Xno6r1wyNfbf2+Pkxm0K9qOD69ete7rm+nM1mcFg19XG6xW//wefhuVcP4R2PngEOrj51XcOdvTtw/fp1bxQdHB7AfDEndb5+/bo3HirTOGlcm7p8s9kMjA16RNO28drl1nxXbj6bweGg4f3FF1+E/cm9V8fx+MrBvef2CODHfuzH4KMf/Sj82q/9Wq+P2jn4nu/5Hviu7/ou//etW7fgkUcegYsXL8KpU6fWwWox1HXtt7jOnj0Lly6dgdO3m7+HgwFsbW0BAMDWdvMF4p3tbaiqV2BQGdjeat45nofDpk0GuFybZ2trC4bDfbh06RLcPmiE4M7Ojs8zGLzq8wEAXLp0EQZVBZubz8Fo2kzs3d3d9jduI6ndHC6XNh6PYWMyAgCAM2fPtvXZaemFr5tvHjTCeTwZR2lnTp8muDGcOXMGLl06D1tbL8Ng2Ezy7e1tuHTpEgzbg1vbOztQVS+RcmdbXjY2N2B0UAPAnh9fvm1HI9jY2Gzqf+oUGGN8ewAAVFUFAEs4e+Zs+/cAABZQVQPYcX230+Tf3Nz0eRxOR2eyMYHxAmBQLWAy2Wj42mh+jTGw2/aZ6zsHw+EQJpMJGE8bYDyZwHC4hEuXLnnhPJlMSLmqqmBzc8OnVdUBTCZjmIwbEXLu3DkAADh9+hRUVQWj4dDzPxoO277YbnkYwNb2FoAxMBqNYFDNvYE2GAxg24/luO9cf260uDcmE5gund/TwKCqYNjixODaYTIZw/AgNh6MqWBjYwMGgymMRiMYjYakvTc3NmE4nMF4PPTtPJlMYDA4gEE7n4wxsLEx8e0AADAeT3zaeDz2uEajORgz823EYTweAyxq3w7GGBi27Tgejbxhsb2zA8YYmEwmsFjWUNW1xzkcNXPIjdvBYACj4QjA1ADLGoaDCsbjCYzqOSxh2RhftlGcR6Nh01ZTC0tYgl3WMGrxOf5m9Ryqagnj8RiqaurHFobhcAjDoYWNjQ0YDWckbTIew3BagzFT2G77x43L4XAI1gJUxvj6uHkxGAxhPBmDtRYGgyVUVQ2D9vT3oOVhNLMwGg4AYB/G4zEMF004SdNnUxiPm7o08u4QNjY2wJg7MBqOwNR10wbDCub1wo8xg65bmmxswHA4hapq2tv1b2ViZwUAwGg0BoA92NregkH1KplP40nTfm5eOqgGFYzHI5jVBgCCkbm5uQVVS2+xtDBczts5WcGoHWPj8QTMsobBYA6TVj6ORyMwZkrWi+GgGVObrXxxYxTDzu5OS3cThsPgVBgOh633HWA8Gvr6nG5l72TSyElTWy+jq7afxpMJDAbNHD3VrhOOjhtDzbje8PUZDqYwHo9h0s6/M2fOAADAxYsXI56dPMKy1/HF55wxBnZ2d2AweBk2NjbBmFtNXUdzkn9jYxOqah8mkwnUZgGV2YeNltetrS2oqgrG4zGMWvGC+2I4XAIsa5hs0PmB1ywnoza3mvk+2ZjA1tYmGADYbdsG18et49vtuoHlrV+D2vyurcajkZfZbgzstDJkUFX+3aSd05g/13fvevIy/J+fer7tiwmMlsbjb+TRizAeT2A8bPLzOg8GQ09n14+tDZ/u5KuXs+MJDAcVXLp0qXFyQFjfx+MxTFpdwcncT74wg5/+jS/Cn3jnk8Dh0qVLUFsLVVXB9vYOXLp0CfZbJ+nmxgaMR3NS54sXL8GgMnDlzCa84/UX4Kd/4wu+TV2+yXgMk/GgbctWjxLWrjPtmu/KjUZP+/Fz4cJF2N0cRWXuNrg2L4EHznh47rnn4Lu/+7vhb//tvw1ve9vbVsI1mUyixRCgmUSVeFXJ0YIzHqrKQFVVNF7O0Dz4l7/DjiWPg5WvqgpM1Zar4ljHyqUZ1xbxeQgpnk+O8Yt5tsI7x1fARfuA9EkiltD1X2VMiE81pn2f4N21A5j4GkHPJz7wKfDMcRmcEPqX40z2b4Q93QcAhrx36KuqCmEg0oFThxP9zesq8QCcZwjtbkUew9gSOCe4LBjCq2kbK8JJeNHGBqoDr5dxcwlFazg6grO5ch86E+sFITSo4JS89F2CeBy4Ioa0M0AYT7geAU/of3d3lIXwjoiYaMxg2WEaD514UBn/H8Di8dC2l3V1gXBNKR9jmF/XVa4LPAVXt7atnffQB1ih8WBM00aEfTrpkvIkzAM9TxhGhEiojxtXrN8txKTxXDOG1hyzH3FD5gl9wHM1mo14jPE01wGovYjccvVr80f9JPAgtiKSN4aVk9bi8KHBWB7p65Ih7WJYOcccLh0C9gJuXkdjACT5GPPO21ma56i8F9VSXVmdq0DfsvpzGecQGAPwb3/h07BwYVRt/nO7GzAZBYcJKYfrzOrFaqnyLo2jZo5WULk6k/WzHQcYl5HHxe9+8Sb84Ad+3ecjulw7BnA5pxNsjocwbM98uHRejvIcjzEnh3E5rCPcC52SQxceHjjj4Wd/9mfh5s2b8A//4T+EH/3RHyVpbtvt85//PPHIuu3C4wLKzngEfPzycsWHdVxsrSCIe+Fj8NS1M9k8KdSpOHY5hlfHUdq2KQgHptFiaTS6wrtEWqpczEc+Tyew4QfHmvIsooIQo6Hv/EJo4pcZpqgiUlBEgGxbOY0aZP59Ntn2ahVcugjnYA1DUUVq41f0XIIRHyVUSUZxbHuarzgu2hmoHD0eYwCKLIpRkjGWOk8T6NAXDR3+LkIjgjaUI4wdBFDXm5VSB1EJ/cJK5W6wknkoQo2n210D25616SY3Q4W4cdV9/lrhqf07MW+7gBEmRgrPF17eg5v70+g9aSIb48DjOt2ebt0tq42Uq0t/3Tmcw829GZzeGiOD9ggkbcn6TLIfibQ/UnjgjIc/+2f/LHzd132dmPaxj30M/tJf+kvw0EMPwc///M/fXcYeMBhU6xPtzovRV3FPGS0Symdv7MHvfvFGOX6OJ1V1SdMBqW6RptIZtHrjr4EWoTWrfQQMAODXP/OiSnCdd1kHw0o0QfRyFueS82X5jIxvPSvfWYkXV/1OFrfdn2TFjyus8BuwkD/wJvtAO+mNyFscdgsKizBeQjvhfNbaZregx9jBSkGWLWV+xn7QBAprvXHY1WDvY+D79rb8LeZJTulFL2UcwvqU/Ihn7s1eEx0Ofrx0VPikxtRQlPCuOrVUOU+p9r49D9A8ZDgmowqm7ZkAiQvsIHN/S3kYsU5A8R+dkq2bwmmGO/u7EObjDA+c8bC7u0viAjF88YtfBIAmVvMNb3jD3WTrSGGl675SWmZidEvGg+bZ6uot0YSUBl2uZAQA+INnX4Wf/o3Pw5/9Hx5X8aduS8hVInnjQqJctFOEPVHdqpiEtJfD8d4N5//+q89kcUc3KyEo1ROTV7VmypfMEt8HRbzQrNkdkALj45Hz23B2h4ZKlnSFcMlJbLAIbtEc7tSQb5RmpsJEXs3kxM1QL+GhCEWeRuKlBU224e0Zk2xMvuu06q4gdhDI9Byd9arcnZQjxYBxf6fknbQj0rerozVI8Nt0WV9yS6X0sbi004PTy2Zp6KAd7j7AHWLRXIbGsTed05sBpV3irjyE9hB4KSmPCPrHvkOd8fDt/+jD8I/+H7IDmtOOmXjtwL0PsjqBIwFJYU+F5pQpKInVQMEVrV3Fc2zFydhRKK069bU2LV7yBO/FKl4cTY4axxiEvsEhNYiSxmkWxBAkjRdWpphyoo1Ueu2Wfe4edlUPFD3nCo7c3y4ESlFMtPwhX95I66KopBSBZCx6CZhuhjTZjRC9uzaE2ZcArw96ni6W0TilmzkGPeM8YZfBQlBQ+9zxr4Y09dh4oTtRnVkR/awlLORs5VUV3JRxt04gSmkiLbzDaekwrr6GXBwsp/MT59H5kfLwtGFV+UPKwQBmMstawMZxSTUjuZeoylGHr3HSL9+ewic+/0px/gI/UXcmjgE8cDsPErz44ouwXC799W3L5RKef/55AGhuGuA30hxLEAZfVknqQwctmJysCRpR+7P6jOjrce/i6dHoGVZXCSJByYyAfCSM4EFhFMvjqq3/kE+u1sYAXDu3Dc/fPOixcyHho16w2gK8uj8Tcso4ct68JHDFWlRUdWxntsf+likNLAT3YYReWHxLP66WTpczCKH3Ii8SHby4u4OIIg0eTlTaGbGVoyo/Go/FdHLnFpgRILXnM9ebqwkNyufRp/h1+dEh15Id0Kw8Kp3sZNNjReMOsMEpIGp5jg7FQomcKclVBlr9is9ReIcSk68+vQyRYb8RHaG+RWFLSv6+YTExVpbSc30uihgtDIVNGUWpb8Mc9cfVfuOzLxF6Kfjvn34RXnchr0NKuI64GkcKr4mdh3e+851w9epV+HN/7s8BQBO+dPXqVbh69Sr8g3/wD+4xd/2hq2c6KDZxmoi/+OVqcJRxjPcDPZmHkjxlfEoGTxc6q+TX4LMv3IL/83efkxNzbvmevJDshUJ5MhrA1TNbcXmJF8MXLYv+xRnz/HVZBNc1Xg3kDwqv/HXcjgoYgFPUkfIq5MmSVQjk2ne+WPOHmTownduVzIYmOaXe5e9EuztgDzPnYWXkCqSqVELmE59/BTm6EsY4wScbY4J+3IunrpB3QMW0O4WX5TwOBThtIlNfBfluLdPyEO5G3F33qu0oy3TvvR6yCrwmdh6eeeaZe83CPQH3FVkOXkEo9di4ciS0oafXosQTskZzXLptiV9P2xLP4ioy1ixrJ/arIy96RSDfSrLXT7Ivy7xE+b5rfpV8xR5C5+nUUWg3F+X22viMCOEmeRAVa+IBThUWrPgjgj4ev2YM2OZKR628auRZNdn3lzJ3xA0E9y5lVKJCWrsLU5PiAIBlbelVtglQc7E5XwbOM2vovCqpl6UHwVlzRHhS4GV7Ygaow6GdPEfpPV11qvzX3/lSngZu/o48kN2Cnu3w/I39lo8Cw0zioSAfOc8gecA5zhQuSS773YLVoaS9rTBPOi7naR7K7KlOeUrH0XGB18TOw2sJug5CaTIeJdxtY3t7UvbhFck7pfKa27HB264dKhyEMg0BwjgVisU0KIUExr7CsyMfDudTD50BgC4hWh2YAsgyZgq22WOva1s2wQpVWOmClw11EXCk3nUJECn1rGndEW0eFfRbdLZAivdCuN3Vl+GiAp3nYg81w0FtuvLRi/0c7gxGsiuN+HiswxZKIWdYlZyHae0sMa0rqPPUCu8YRHVhhhxVYMO41UJgp/Ml/OV/8hGd1xTTBVC2WxCPw+R84u0k277qO9HJkKlfsh49B4S05mt5TiCGE+PhGELJoAeIvUlFk4zEV642dfoaMvSd7tEo4e/KGfkLvhxHp6piRScRgpMKwYjIGT01Fb4gCvmscQNNTKqUli7K6Bj0GAyeVFteOr1JFUJo2JVv7xL4Ezxc5DN5ibvnSw6galcW6vljOiX51LdIKc2Xb+rTxWhocBv/m2pjx04q/j+3odIcLM7sBwn4SxX5ktu3or40fPyEv/HYzI2BTrsNlvyUF1N4yJGmRiv9LS3Hy0v1Tfs0msSmfQsUNEnJTGwLpPs+Y8ljOkixJ0ZhtBMgP0t/AwCc29mIyEblBH443fVcptj2hUE7XeSHWTcFczaZDmpzMwYLcq126KOAh/Ar1ev/+PXPRWzEKPrxdZx9ByfGwwMCaRmuSU0d0RdeCh/OS1v9Oa9Rv+mx+rZjNwRizPUaZnYnm8Ty3/6NoHZ5qWe/EHkfFlNGYh/o4kW3YKMhWapUpb7NAMDXuLQCUNINFi1qfaB8U8YSBd4ZDA2OcDtVyhkhfa+B5tXbI97FKNrGKAs1E0Ia0gXk8vEfAXz4VYKOpiDH9GMM2lfiRfwkhyFKXN855stnvcNyukVIujhr6PGiI1AaHR3WlqW3XJHD8m73CaVPRgXqlSZLj9GWFDa6ALrJtiIRx5wZ6wJ5B4T/beF/+elPkLR/8aFP5csV8lA6t+5HODEeHlDgIRVd4a/+rx+V8bJfDjl608UyS3sdYjPFZ//zGhKuRH5r86EwCUal8xpJXD1zSuvUL/7e851od6FKdIKkR7JnP0lOxw7GlDj+Uv3clZmykklQFTVrY49p+3uv1RHD/0p4cvuCOmYSxkpkTCq4xZAUn98Avr414kt3oPeGPqGFunFj9fQCZ4EU/tW1ntn8RzSA+dXGqZ2WuGwMYfdyVb7SaxW/4U7M6nd/4i1CS7PwAa6h8jzJvsfVRzc3LAC621LGAPy3Tz0H/9svfSZPzxdK4QuJe+3h6DKkDy6cGA/HEIq9N9GiWOROQXTaV4kdigQ5sey/+egfAgDAG66cilEewYQrxlmSrzSUxQn1AvTSwS8HdeIimHxIRVrgrtuph895pNDJYwSFHQmLHKHDHtyOAMffc7+rx0xv8wAA1P9JREFUU+79WcEikqF0FGvMunGWns0AKJMBMgQFrmhHIft3GstaQ5JAr+O1c9tqfpGDlSZjYCKFJlW3LtRJCAwAXL91mOCI0+lXz1Wu6MxRzKYnGnXtaxcJ6zRI0S8jpIV0KXtnBW/kNOes0K6/7Qcpw0Uvxb9V81vPvAwf+cSznSinLik4CrjXDp1V4MR4eI1DKm60FoyU1GDnOKT5Nm8/OPPGq6fh4fPbaj4V6RFBp10F7MUUGqTEuEsuRO3vElsPsouLxK1LMbldZV4JX4h8IU4ZF1cEvvzhs0k8W+NhxIQLGcmBadtKiFrqDO77Fb/x2ZciBSqqaxsD0VyT2uZJ7AWI43BFfgmutv5WagebVs5W8aon6yXdTpbA2SgrIU07EyTeE8/+Tn0cLzl/gbafa9MSHng5dbMk6QmV35WOlU998YackA1D1bO/eOsgS7fvWE6W67pDy0PooI1TsjQtK8dZeJNp53p0sULhX6pDQfGnqAaCcp6NA66fdqBbg4MZjSAQd9AL+qWo647QYGx4QJ6onmwcw6ijleHEeHgAQI0N7bIYFk4gBfXa4Sjxr+WjSqXtVOrhFJjxHy4z5Z46jqZk4U95lv/EVz4Cj5yn3lPRjmFb6KtAkcDvOELSimDe2POQ8cKrSjKPpU/wYqR4fn5TkUAo7nsrZ1C2Z2z0oEN0UNrk5xM558BpY5puShjjrwNNsYXzUKQZhiDm2UC5genrQOh0kCo5Yw20A+2UbB859qkv3iRlk1e1ejnRjVIudLbz7g5w5T5Buyti/Gdi1zYy/NBTSYhREqgl0rzy/xwdOEM4txstnwtkcqmAHne4CDnUlGiH4y6eDSlaQ/oiOIZwYjwcQ1jXhMlh6Rpz34WrpOjoWb3FsoaZO1PRc56mwohKy6XzKeUEj03uq8c+e1Euit4d8sPws7/9hSJCJn6VZCh4k5untMKUB+zl7Vz3AtwA3eS8dKC4py7L8rvFusBY6alUceWkix5ebtA2SrA69qP86fQsYwKu7PFqZEhrqCWDxx+WVRSiqM6MLymNvovDuMLVsG4+CQUl6CsTlXGYCx0rJV3siCnL1h28LAlfRtJ2S7mDndi8zOrAc7NL2AveHcTvOHg5auX+0cpFMiARfZDFZS2Z233XwTSHelKK3m8/83IRLx7w3OdjPTPJ+oiq425LnBgPxxBkIaG7Ivt6YeIwizJcgZUEn1gwrmlZ+PGf+z34e//xN7P54sOOZUIPV6vMkdSvZq5M1njrrQxwZarZ5v6ff+rjahmuVN3Ym8q4czzrLveSV/KuR5pihh25dKxkF86B0hWhhGkF1VF429QrbnPdmdPJ/VzRDxM3qbzc0aysX3plL6pryb1NjUKnhzgV32JGQq4ER0XqGipCj/HCGNI+PBfxk+E3CQVhbOFdgXwVHCgpnD4ti5nyoOXPOSSKdu4RfOi3v1jAE3rWMpWOrYJ3ufNLnebdETn9xRCoAuDsfB7dGNmVnuVpHXkoLYZ37P+nH/zP3YjdYzgxHh5wkJSC0jnPlVe6ral4DTPhGakwHQm6zN07h3O4qSi1pXSIJ2kNx75wPGmKrgR1YufBAqhtqESl9ANREeiUXeZDaPDYs8s1tOZdVmFVllHjy2cQCMkkLriHYrvudbaTglPAb4o/3F5nt8fwRx4/I6ItNfY4vT5tYxrGIiQ4FI/kb//+4st7Ma6Ukp6wdpnjN+lUIIaCTk5jIgu4nU9vjQMvWePOKdQJxXpFO067cCMb0smYvxsBKqW+DzJ+c/E+PWgn/G9xOSHvUXq149vcLBk/XZwbKSW95MzS/QpFX/0mDrnjUrMAJ8bDawgkz0s0ZI9YAKXOVpR6yzQwYKBm6IsVvRIh3VWR7oJTkLfYeJM3lrj2gvAqoQbrAG//FShKzd86WIhDZVbiuUUWxeLavPJRQlVSJn191fZwPFDtYJUNhC4hPdIQSxn/4kLmX8le+65VwR+qw/xYK6T1XFgbAzt9biBZXjBeOeCQtTo1xqhXQk0qssgSUPK15r4gfyQOySiVp/40uY+BXBDRd1xE7njZQ69z45RkKSWWEVS2JfgqqE9qLMvzNuGAyg9vEUTjoG8fdwy9k6uTqmNBm65hhvRZs3Jhafc7nBgPxxi8l02Ite5804iAv+uZBwm6HKjqui0shQ5od9yvFbDDMyn0LADQbz1wb6V86LKBpeSJWgPEBlzaSOmGO5GmJfRwQ4c6UKy9dl0Sinz2K+4GsWD1OhJFo7NC6GKgywpyJwE1QuOPvqVkBgY9tGk1pYe9DfSAyTbd7yA7I2z84a4SsI44sP4luOnf+d2w+A8iF4QRq+55KBXqYxx3/ZYB/TI8NfJK6OG0uFyJsYZ5SeBP2b8Kzl6yD7dHQZgZJ5Gec61iTfLp+dH9GkWAD0B32i0QDFxhKekEReFbQn5Jh5kva3jlTr8IhIjOmvM9SHBiPDzAoImDpFOFKDl5RXxVz3uXfLnyVWXQ9bIJb0T7KxpPhZ6hopAN269urkwqbGll6OH15rdtUM9JmfdnPaEHpmApZTzoqFDfZ5TnLnQiVEo8Hx9HYXAWUEvQz7yU2MP9Sr+9kaWg3rZFLyDoHs6Acfr5JygaWcMHlDEqdEtzIFmuD8m7wtZR2F0pNwppeaGfCvjR8pTctiSd4cJ/RxiE7T5qMHWHrmtQtnD0uuw7I7hsbAIxjD34w+JhHQfi+4bOivkTiv5RK9HyPKe7n7OCD9ESnCnnQLHDxvHXD47jzsPwXjNwAuuFdSjzDrzuWqB8lGxfl0LfJblREOi7An2hzdeP6+Si2wtjKOe+81C8dnAvfO6GiJAzsbBmauG3nUP4ycrGYMQfJad5g7OQuRazfWjpxATcQh55jE3G5SfgCl7/vJGbBGFbK7eg58LO+kIKXaouuE1d/8qdr5fvez4pKid5u02cZCGMEXxuQFfONfoKMURHLrfmziuEPlRplYR5VRZDduTXcuZknY0shXhXrEUUQUk4W9BX8+e6KApLfhX0cRpSkJuLojLrhaV08M4lnwulsKqucFQXK3j8a8zpWH3h5j785H9/hpU+ftbDyc7DMYassIseUpmEJCUkJAtrmNBYkJZC6cdxSujmMvnwo3QDRp6jEuPGwVe9/qLKWMr7s841Nu15xfncwlKIV6GT0jPWUa2+Q7P0y8ccnB7c2+DBuKSYc/KHTEAMPyz0rImKSdLdHINJVL6rlzd61+I9nC9IvnwIT16JtWSes3klDtgUPVqsBPLGf5nhqUT4dQDqIOiFISUmE3lW9ehKdDg4p5O2U6x/jI3joVbmV73+AuxsDKM5WrSDadlzwRpeuhOco9egjMvXiXHUtX9iR1cmf5LQ+hTvldeYgnb/wst78JMfe1qco8cJToyHE1AhvYvBJ3/ZtDuKSeJQ4hCAYjL3aNJa4YnD2Z0JADijKFbi2LXiASNfeBC4O/dxMYM2HiRuSryp0tfIo/IJ5UACUVmMggwKy1lLFPkoDb1TvbqSV1rOWZTPpGghkA6/k3Yj13ZawTJz2ej2Pnbwp+LXqed9hVAdmS3yHO0iKJtiTb4Ae4eLKA9W/qNzSjY8997pRDs9nfRqJa8FIB0bWE8jl26W8t+AKGSp04cSVbrdWrKnT2tlSCmupfIEp2n1rioDo8EgoqPRk4xXvp51NRDkEFOWJ1U+8e43n34pGFwdO0xzHuE/JPs8NuCMmlbMi+IX6YtjFTzHCU6MhwcMiq4ElBTOJM4u+csmc4nnLwccRyXerFKGsyiXpBivMWzJY1plC7hwAe8Ta50SkAt0ujteGLDBYwSPnUZP5i9Vw9RVwJ0OtSYyJPOxrX30ir7rsM1NlGBwSn+H8sI7gktUWGMePA6BjhppZPP9a/CBC0wjMvIURBC3j0QnpIccgypvPeA6PH5p1/NnSHp3E8TyjlVoS6Ae8Ee8rGsDMowBYdT11JJSY9KBgTJxtmrIRzQnlPM7qQG4jvAZDYPWBvGNcrG2LX2R2bL8bhgWh5wKBsyRGnuF77Sh0vf6doByY9qyXznPg2VSnBgPxxmQ96wo+xEIPy6I1gLilYBlRXmIRnaL1TnFCxR2nyJEYSS33DWtiqUVye0EHc9eD60hf+A0bRQuUwdkujOjJyFFxuAXPUGKRMnlX3Wsl5ReS4iWsGOh0isKP5JD1ZrENA+96CX3KuLc3XBxzLGxJ1He3RxBhQxUI2WS8Of6QNmaas5RKLiIEudedXUIFBihynu/k6fgWseKIBm7Whor2YMWnS85DFz+4B3ccpoKbsVwTinSVnhXwhC+IIAjkIYl/2Bm6Qc0L53ejHHl1mfQ+SiFv/AjH4bnb+yr6ZLDNT7fkYGeg9318zputrzbcGI8PKiQNoHLUHQc0GVKa5m23IW092CWet0VdtYNq3bBSqyl2jZZjqb+2mdeLBoHo0ElFVfp6t8Z0I2UsO1v2nCBLFsxDzZeKCUdWNxlSXh7ST4BpK8ayzYlXoj7GvS03Ad++bNCHp12rr8LbIYsPRqKQBV3t7PCb1fi33Ah+DrupmoQwrek9pcVLJeUGpOjYTs/mKK1ilIkKotivhWN3dTWgHvkoXMF4He5OjTCKjXJjusmUzecwrtYEU85pGLhIbthEjgkR1RHQ5YfmE6OJ9GBlZcd/9eveh3sbo5oOYFSyqCQ8ecH0NLrCALuAsM7Nyr6hP31yX8/wYnxcAyhxPtcjKtjWnr3In5XtO2cUApSvKwKUizlWrxl/qGv8ie8c21kY06PUv68cmcKC+XKWByq8m1f/4bAS4d6p24KKSsvvFPmh/yBtwayIU2qVZAuh2lgZl2svVTvEl1KXkPlcIvfeubliIAV4olKlHIfGUEUjeCdi9VtEw6La+EXwK7ejfhiapQQhqS1WZdwIq78h7rGv12n9sPnd+Bce4aJ8MfZixpcxieN11UuSii5/Wsdtx0J4iuklZRbA0hOCXqWTA77wkM4tctCv59Ax3S/NW5dAWgKveIxpmS0pWtQMMw5XDkT70rQUinoppN0gsLy3AApO48SG47HCU6MhwcM8GLJP0zT3Zsg4E8cfnWwP13oCDDucgdND5O+W/aS/Lf2Z1FeJyxeuNlsi4oKqsB77Nm2aGGS83A2DaNXugWc1OS6AFoFxq1ntY+0Nmy/3z3mt3KZVhen5GmD3Ealxoxhz6U7LwDlylixwS5ul/BX9CNx3niC8MBRRrsmSASsdCNQq1ylwgBpmIowjzTkhv0q5Qqc6hFtP2Zab60/jI/yOEMBv9scDyODJAW5LNbKbaKeh1iHhiLIrUDXqFlThmlJ6I4UPiJ996MINB04owSn16dC0tw6loUPAWKsrrgzIoV9RTJAIRU7sGJCYnXwbqqytj18flsoSeHf/+KnYa/VLVIyUXJs9IV16vS/9ukXo3cF6tR9CyfGwzGGEqUndU2oJJxL6aUWgw//zpeyuFIgx1lSuHFnGgkiaWHJ1SoyrBKK+xdeuhN4VByExAhQeO/CH0A3NT92FunjQYIiISasANyJ8uRDp0VPa8OjvHhGiqho0DrPjsCPL6YomYKt4Q4KUqNbZLvJk2jA0rlG+CpcNUo96L09ba5tBO9gTqlIJUq7iud3J+l29L/pPP7WJGTwUEUljJXowDkedyk60aFU2WAK3uoOOx2ypkX/hH5mPp0f7FfKX+C9FQ9Mi7gChI/txVeUBh6tz5PC1S2xT3YbybEU4A/9dYHS25aad3l8ZX1S1lglMf4cU2SgGP53v3bi7fHjP/f7RV+OVm+ly0DqXB9m/eFzsaET6Q8C/l/+/RdU2i/fPixh8b6CE+PhGMLKArV4EseKWlfltETxKFu46Pv/+z/8MFx/9UAtl4JSeaKGFBBFRG/MdWy1d1LcVB9SnAt7s3Ie85ipRJ3b39NbY/iya2do2opeM/euREkXFTwhP07MG5qC4YLTNQQdlIKiHjTptuyg2xdD0mNeNuzAgIGz2xN43QV3YxFa5AWutZCpFH9dofx7D4buUlnhkKmIPw1dDBepXNLgNqbD7pae9ku//zyiS3lY627xeoqupTxpNZvYofTKYkfDJ0UP2v7FSnCq8IrzolQuBwM9Lr/qLpBk6wLE7eLO1q0T+OHo5h37RfTf/earEpKVePj086+uVP5ewInx8JqC/ADH2++SkJCeu1AjnrQO803+aE2RZIxe8VATBz4sqYSfqG2EPGlXXyKpmzDXIKU39PFmBsLMYNSTYrpGfpbJpPw/FsUT52tTVN9CJb/rwbroXem4jwyjwl5T1vFizx/2vlqLdmz4nhrCnUCH+VYNAhvnL4jCKk7NQS58KXUgtDPlVRVj/9vvw4USJLoWPv38rTaPuiVHICUDXndxpyVT0psCPeHV6j6aeLxRZVb/4jOz1eQ8SeW+0EDokIfm5EJEnlc8hKyYjqIr5PnqCD2V875OlhBOJC4AnXA9qHBiPBxjWMvNLGzy3y+ToEiQSpO4Z32stfDn/+cPwXxZ6+U6emi8EtdbXlok1GUkZhUCPfgBQPUzJgoJkdgpDeHhdOS0sIPQRXEqbaHUmZ6ikBTFsOJeWn4IV0TFf4sM9jjPn/zKR1Tc+ZdJYh74uZU4L5VVvl2MEqYohR6g8cdJ5ZR/9aUwfnEeqhzGYQ14LEpzQWOKn1Xy8zgKk1IM2owy23m8F8Kq4+bCbjgY28m50bViEvg1Qdb++LgqbRm8oynJutKrTEOeeF0vUYLDxnhmR8iVY4tkztnwltedK+IlNRdxCBymScPseuoyjo50a1RiDSJJ0Va//DrHQ+k47fN9mPsFToyHYwhr8zYpmPhB63WbFPwGipgvAVLem64zvAxtL5DjJgUFIFFOSIwUyJzy3HetleS2P9Qa2MnS7QupkCSeyXB3WQHu0qsB4zxNpjiSTfeqY/yr0Rbe5Yt5eOLKafK3OysgeRtzNoDIXyrNCl/2toGHFA5jEot8hofiMyIRTazUKwa71EaM3GV+ewyar2Q3w7i26Sa8TIsTMSueV1k38C/cE34UWMstTRDXq/s4DbKzlGYKulTLQLgTTLRVo7qV106LFMiWY78STgyn2mtWc/O9LySbM7U1loAidmz83LktmVEkwvG1E0QY3msGTqA7SMNzOl+SNLqu5IVL8aQvmABEEHZwrcohAXmPyzqgaPIXEJZuTZIKS+EaPLusriKIjLwyWLfBBIC9WGXYS0JSUmFpwcNju63iitanOJyK4MLuBhjTLeytMxhZCZNjrbWRZKI018RJxYaVs9B4naySvxQytmGyoLM9LFioFC5wPHr0bY8CueLqxw1avGtCSzTwFY+eg62xsLSaWL6kle6CTCIH5XnIV74L8URQOAgMtniw3DsKgdQHLHhmGi85ZqyJ94nPmFhftA/MFjVCxeamxOIa2kr9cGNpeS67LeU9N3/J1czJtbQbEKN8ZaD9WooxmS+pfxUSuI/gZOfhGIMbb8YYWCzj0dc4jCVPeAIX6JOv1PPXUY/sD4nYpLPKTT8AhZ6wDPNdPEV9PULSi75NemF3A/HTLIJ4/HQRuPJIi9MkjLESJ2FJ0LYFcd7qqrua60dzfhkD8Mj5HQCQP/zWCbquUrKd0DyuYQJawOEQAmSa1LZ5cuNCUpwig44MFkPCIHC50DRYoZHd1mITWWRMGS1POw6Ld0ZsUT5OzNp4zjR8Se802nkov5qYzd/CmHLrBsIaIeUU6zLycXx76RoXIWj7ie+o5eCnfvUZh4Qo1OT2N+i/lkZhVEIf+NvmBLsopwlIYkjd9cvsavKIUSmUqaQdSi4awGBpBprGjX2lDkWGn8rV8YQT4+EBATdflsoHvXIg6eHiHeKJ/DhdJ6RnJrgYbckLnRT0CeWgEpjscnUqSAqFqODrOEs+joad6iUemlQeF69K8UttKrxDr7JO4a6Gkm0PPjMPqMQfWRO0kJKEAu8Ef3wfPTWmRD4h9EcKv1xWN3L7AK9jUskW/sY8OYUJ90HXKyNxWlI5AGyIOOXcwMFsGX/ITqKjeUxTykKrzJHNUA2/LRjfyvzguxFaO1iUb9XhoNnITcw7kkKJfl0VkrKtsyzQX3a9rGNvOlfxR6JbUJJLjAhZEc8QZLsXeOeBAJL7fcK+uFKvGcmcXglgFcO1XWq9lWR7F5BK5ZrZgdMbPo+uWed8cTylPGj8vFbgxHh4wOA//NJn/HPfAR2feSiDsogfC0Eykh/MQG/eSxYBMfyDCT+nUK0CyfboYnWxsAk1DSjPfTxW/gN/BUB0+W5kikBb74IRUE43Z2hyh2FxFJ+iLKZu5el8gHJFpa9T6VSbxs7JtRCvrYXf+9JNRIaq+vxgZw76TFt8OYGK1w2SyPjsp+B5nFpaoiapHWKcpws9B2mxFVJX+bYFmWsKD6mD7Dl4/sZ+MU+eplLxlNNALIJkAjf0kz1W4iDCZAgdub3SO0POgSADv8zA9/Mq8kiqCJTLuL6UP//SbfK36qTqScCyehXtkDeMHFs4MR6OI4g7AuWhON5LtgoLhV7AvgtYTE94xxYiqsyurs52WhSFMp4DHjvbAathJaIbjwSgh0zz7YCF53/+9c+r+LTwAE4vfHGX8kAXUaSEKG2irSfuNhFuHD18fjvyAOdwlQLeBcrlk2BVQ1T1lif+Dgsa9dqGjzYZte17K8PiOxPx4NjqNht0uHp2qwNHDVw4tZGQY2mCosyxeEyzjEUcARkoSRZSu1wrjLWcEpfacZXypIdRmtFVvL1dpjtWwp0847S1navgeLCy4e122jK7ktg4se0/OZlVKUhNzmuUGJNdr2B3O5YlO+kF2DT2VMjtKLqdh9T3IfxcTjnpAMutMg5zIvQINgLvKpwYD8cZMoMvCmcoQIk9WtFWZI4eV9hSmTOLDn/3m0+/JKRRPkX8kqGVVK7XN6NTin7SGDpCD6svi3co0B9DIaar6GNYpWNEeZZwiUJaWfgunNqAs9v6OReXr6vCmuJPTFO8ebwNNeWcKv95Q7HBlU6XPJ+FTdvg5/mUjNo4x7er+XYwKQcERRZ4RgoKY+LM1hjeikLz8FkFrc6mTdRuzJL60AIyWoV2L70mE4OqjNwjr2SK7FHe5JQD1cnQVWZL4wCgszbH2yI45brvxDTPKcGiLw5ddialHZRyr3+83paESKYcEeKmIg8nyvBVMiYrKVZZREb/lGSGzE9eVh/jTQYRTm5beg2CrLhKg5/+9e9RSNRRgjRB/+DZV6N84kQtkIMV8rxGxRMKfImIzX+4iXovZLkd0uL4/NUhVbeh4KHh1zN2dGp1WpNT3h/v4WOZu7QJVzS0G21SN5LoNxZJ9DoyKCFy+At3lHyMMdsx4gefo7pYQfFJ6LVurKc+oqXhMtGDkLXQGeHkhbRbIPGFz7dINm9kNLAxGeG0UsUUPiPFKxSwHJcCq36o7ijOPkj1tihJHq8dvSUdoAvKlOLq0g0TfCVKcxdYRbH0Y79rOa6491jzUs6IQCeWueoX5TMEufc/NW/1l3KeXB8WGUEdBsI6oiPuJZwYDw8AJD1F6LlUIS4JWZCU7JJ5I3l+w4TLI3j59qF6KFz8OEwin3ioMMuBDNKXQovaowd+DEYhZNmKUrq4DLIeGhM9GQB48dUDTzfvKUpst5eA4D3D6452EFz19nf1OJI2CBp6ct6YeLx1jVGWoMuhv3WDN24L533XkGnNkPFju4MSHYexZfqL5I1xWMRfgp1M09jIoItpJ+a9e76L2wGFdpJQUAjN6UkX4+wD2qF3m0FZRC6xM5Dy+kelCgznyLFE/QBZSNEsdhB1FTiaswCjYetWbpz1kXmlU6ZUwddnabr8cd6NODEejjGQYSksjr1xeRx6moYj2spVPH994f/zs78Le4dzxp8usCVQPcQZCNvbsRc35IkNmJKuSPFEbgLqqR1iBSiJQemaXI+9dPvQUYrLeqVR9tzFjnZLfkXAISxgwpjyPzrH4phEOGWFGBuH4Vk/MC3gz+TRIHUDFlZiY06Fv/HYRf0SzkEICFrDR7rOMWTJz+moPDIoSD6/o+S8jHE9DABYE4cIJR0pXDaBqxcFEh7l34F/R4zHwkPDvRQcT4PhwjhN+MP1Hd/hSNJY0fCQdL4Sg0d7cy8ANSGBVBuGeY8MQDyHGG5q7IVn5weT+swCGosCLybxl8chGbSW5W6dAMW9ITgs8I5AckhhBwDEc1plWgGjPDNySZC/lROzYt22Y6mzJAOl1+jfr3BiPDzIUO5E9qPXLajoVX9yiRmUs+hXnfRJPKLHV8CteUlKWybRjlaSTvorRDvOlDQsFFzqQdku8brQNJGogOBdIHGFyAPeYHIbIm7h83qTxYt/iVRnbKJXqdIEdWohL+gCKRwtBTxUpthr1sF6paIAfegQwpgoCSuIeIB0GB8ebw+d24LTm2OYLuoo9Aog0b9r0EFV1D2Ua62JUp7irpC+ntZAKpSMnPFYgRd3WLZTEyFCJWfkknOyJBMhrRg1hTuhJbsfkd0t4JaokXzFhl8+v+AHiBIlGz7VpwRnKpQn+ltfU48Kig6AJxdoHa63u+0aaGe3wt/H0WQIcGI8vIYgJWxTA/mo5zvXcYqVlJ4egNSZBwyd1sSOTLgvglMccb5kJAzzcEk83D6M7zvnbOW+DurDM1pFgcbJS14onedO0OJ58yNnYVAZeOb6bbK71U1pSSdLXkMlYx/0MZoSWgy3aNhJRm8L7qaRu7VEFTgc/bNz4KWi5PoePA3vdK9tS0CnrXWO07QKd9F0/N3ya6yU0Ik96nHJ4gOlXaAw9kV0flj52yulYyJ5RWmiPYp3Ay3uQ/kjm13loLbjmrMr/HyS6pFhAjsLCU4b0vG7KL9tblpKUZGM1RgkHnS+1hQt1Q0Hkwm/XfBtmgcZTm5bOoYQ5AJS+lIZ/d/6jLt2bicqkrwtSFAaJciFVJSmSfmSxlACWVLJ6eupkPKxXwz/u/+yqF6u664EQNPeuH7/6dc+JxAQjABfPg/eE01Qrl9RxR8GNMZEwrvrR4dWDQ0v+f5Jqdc5W0DEoSUwlJFyJJDt6EAoAbV0q2zz+OXoICUaVxzX2x87n6UlXS7AlZ8ckHNTNjasve0AOHTFvVuvmWaEsKwIIuMxkVVIdHXQrv1cFdaF9ajamNDQGtvqcw+XYDZlZ5pRWWvRGpIxhDkfKZpAxzRN0/82Ro7awQ6jjsOVQEq+ptbSkqHrHTBkJzPGGW6DMyRP80zXuFzkQ6exvzaP292DE+PhAYBcGF6UJoQCbE36bUJ19ZavCmnlA6WldlKEkBqH60Mf/6JDEMHu1jjCsTEexBkLvCPu0HfOMEuFFbjwF5lOuTAiSlZB5/m2VfPKtL0Ax+9a4syZBQAA42EQT76MIPC5kshp4PyrNJWmXOCFKTKqUbkShZ0u1oa8lBYyAuquiLTIyYZpcZgOnkOovISzC3ilnJfLyrjEfILUYXmZBw7ZEBZBpsr0bNTHpF/VknkoPndC+Gl+8xcluPz6eOXvfJrSdyVe5CD/rP8jpeB2fSelhp1Wygc2GFMQoonQvHcyrqD9MI5sRsiMtwSf9OY6h0svJ95OGPESpyU/mCnIxkHKSSM4qQo3uIrAtckv/t7z5O/SncLOl28coa501HBiPDzIYCC9NU/+ssK7DqSQV45iZNBlX7gwe3Jh6ig+PvzbX1LTsHfOAMDWeAhf96YrhB7dYk4JdVo/STD/3pduwnRR+xLh3zLoptp3wJlQuLp+9daNmaCAhxxbkyGc3Z4IY0CoGRLulg/Eli8pvEAKjXB8pf7G5QMLWKGODVtu8ORAOrib5NNa8kJb7PFH4iQ7kCoANu+csPlzDXSxDx2ULOcVGkt+CW3I0JZizltFTlIIIyOUeSDFGH8kq3LGFx6apDaqYiy3vDdUtalQaBRhfKsA/WKvQLuLYYrLsT/ULwOX4FKyY493EqOyUxbxyYvx5x7nGyTg4UCpdRAVatrRO2zCBzcj/MrMwmfRSuS+RQ/cCcRhczyAy2fiDz72Hp5OviXzdB1H+boW6R1rchrcKzgxHo4hiN6Bnko2x5l71xcXhnjxZenp4h5qQano+kVlhQWiZGm5xqMqvSB6hUNPS8HPfeJZoVwomFuL+ygEOQekwbEnmY5eVSDKzYYaVfAGpw+S6rRwbHhjgMTU3Y0kveKbV1DO3CIv6Rwpxd0yQeEO0haB1LYafiG/ipafLWGKO29HyRnheMmSVNgLB8BLPPUOlRWVKY4i2Ua+DHPzgvgnOtvDO0PYQcD0MtWSRoDkbZeAflBP280pkMHQ8aC1iGM1+Jo3XoLzu+HDknxnIH/+KfxKDosoe1b+6HJF7DMB34XdjTQToXSSJ70PDW2jYkppcBg3x+kIiCJjZY0hQCW7Y1q5u3mF8r2AE+PhAYUiL0QhjhJlyf9tqJKjSY5V5nenCV1qyAj5FAcjNVZ6bxl3LMCy5LImDb9EWkrcaTYQ91p7/UUh1FWm8iszeex5V4hj41sjVKLdd/Uo4QPCCZVTmyN4/eVTheUgWfGS0JIk7i75CwvQkCudePp6XpKV4mI6c9fba+gh0FxuaoQV6I0CBrlEmaKlGIwrOLQtWHjdhZ2OpWRCpXLvKFWrkum6vTGCq2e3szhs66pPygdAeRHk6lj6zQnRCBVC0Hj4mfhV6AIeUo6G0TCE6tqWtxKlPgchSlN37q1TDEtraddzdOuCq8Juy/0OJ8bDAwxdpsE65qSmbAMAfMWj5/J0CiSDdF4hhaq0XkU7Fui36JBWQdhJKUg6rNbeRR5VpHmXCOScMia19839WZumdIYUUkKQ6h5qqXjfdrbIk9vlgH8OZwqkHtrdHPWixbsmUg7cuOiIy5UN39DoEXZi9cP5qTCSWAmTlTeXv81E8RfyJ+JUXjrjFZhnMRuulNnt1HePUjjTZRN+ERGkr8sDALzzDRcRzVhZTsn9ho9CmS2847ilZpb7MOHUUT3ndNSVyhO15xWrkuymKUq9tFPGeZqMKo8j3p0qG9d4t0+7FQk72IwBOLM9jnaoS5V6lc2kR0uuf5zPs9kJSnQFSQT2jSggeFumj+S2syOGE+PhNQApJdaGTFLBAuTiI4GHz23DUw+dIe/EEAwZbYJ0uUJSCsFT0609pNCp0LadUMldoWf3xgz2/jTrVkahQc8lCqIUP1sUPiLQKfFQ1QmpToonQnfy/KTTubFmIG4H8gVZTSEGWueOZ81XhLSCxw3TrgpemnIA/CGq8MsUFoEH7tXMXQ0pAjNgVAdAm08NIxGKEP4yoSlg43HA+QqslI9qfdyV4Uj1+emtMQxb5UZScLVWIp77BL2cbPP5E/OrC9AxGfCTud4hpI38Lcoq1L9cdqCylL5CtM2zszGEt77ufPsqXkFTaw/mSw09I/ncO4vqaFheG5WTOis1JmSQPQKl4yB1ZugooLt8pHPlOMGJ8XCcgQjghGKrvCde/A7lVDqtEpdbsCQFTMWZlH79ytUJoUYg4clUPyykFeD0mJGSarHSQ9gRIuIlsSybTFFygHRS1Ww3xS51GBaD9FVfkp4Zy4g91auX5FPBm/XuWpuMf41vW4pj65O3lWh0KQtESRI2cyL+tHZZj/KW62v0bAquKwXcHrER3wW0Q7AuwMzJuFaX7TR+GCGSqJ2DSDCapkeMQ0VjBV7HjjLf8D+bF+5AbaovfunTr4SDt14GyHzl4L+1N+NgKF5fBJqS4dhlzZJ3G7D8wgwUoDNxto3RUDV+S8LXuLMp/oChfManwRl7HnD4oAaqwa7llwyx8uIER0k5ibVSB4KUP+uYEt594vOvwA/+b7+eLnifwInx8IDD3dwMC7dWoAnE8tiuEkSAVIx6Jzxkt6AkP/0t9exLXhzoINSKGWshf+NLyH/59CZLzRh+0p57oeKu4zTkNxWzT+/a1nmNxh3Ii7CW/6jBKfR4cdN4qNu8er+i9m+NFUdDyoOtB9K2fl7FihPOOV/WSIHWb2shoCgCqgLEX/X0OqcOhOKD0znUaSeGnsZv4+LXxq4SY80NTckopGxKTpNujSrJ82BACwPPtHW0el9IH7IM4WF559FLtw5LWC8yJinrhrzD7c09xn2/c1N+k1oCR0eifc8lqE4QKxvvMhjRIYDlX8SesHPT1anYMYhCfddlvsZrUEyBj6cvvbInGsP3I5wYDw8IFMmDjgIoHVpTIIg7ilKPstC44DsIUlx+sfdCd86lyxWAxEO4KSrGn5CdiXpJnqMY3EIe7aqg0BuxTCFIdS35uJrjIRVTSpT/Hm6p5G05SFEhSj3qJ7E9U7tTaXYkBoshvWNDjYC+XjefZmj9h1W8bKQ+gueNQ/ePdTsK8fxNevWYU4LasbqntMkfe35dlyebPbu1RA1TrO9e2N0gt/lE5SScRuaTl9MNhLzzQC6n337UdUegq5z8t7/wafF93jmzmutFqrO2W5K9KQnwOI8NOp2HgEQKbyr9UrZmXMdzTOZdy+8Af3OH4BfeddpdYAVpWatQ0F8X0fEvUzJ0NeiMs81+VOFURwEnxsMxhmLhaclPcVrXUKjkAiS99Dv1sZLTxRhK65FpJVP7aBJiT4RUWong7wySZ6tQKc+gJJCTXc7jjOk3ChNVWCkd4V0xl04hQjyY8CvtHmXbXTGcpFJ1B0ZzY7/ruFCzISW7aJpIShJaOLsqYfgAJcEpYJL4TBoIZNu/XAkjfAFV4ksMkoQNFvGDDR+u62BD+VzCcJB4xuA+2qke6Dbpj8slvw8hvM+NAP7BQoDYIBOve+0pnJJKfQHO9BjL5xfD+Nh44sautmNaanyVyK8ge+V0PjVVEYL44vI10GrHeCQ7BJ46OMMkZHqVDWEg91XnUij9Roe8i7F+Y+M4wonxcAzBgoX/+CufXTPSfhMiv+iAKOiKQ4YSidLZhRLoWmrTfUVa8FRECkpfz0GBZ0tLi5iR0pJggYcO0dR8i5UsijngOxRaGI3LU+AUjpiQPHGW/S0WTL6BqO1lOpb8LRVfZ2gOyZPIZ1Fjps4Y9PWKYeOyyAgQg87kNio5K6M6NaRdNubB5V5k7u3VeSasI37jJF6DczsTH05oId3u6dtn+u1AdAZt9y2jpKcMBK1gcZXEEC05K3FCdHEWoCdtx0e6BUn60B0vmdrR1ECWS+5HMSZL8Fq2ywf9+MtBUdcmukkqv6qeL9nBJUZew5Bco9li2ZaPcd+rq2L7wInxcEzhn3/oU/5Zi0NUoXRC9VBoSgY/8V73ASZARE9awqOhfalWogEAMGjDNAi9gjkumUfxuUiRQfJnyVWHspySmbQsS3n/6pqQRY2zLvGHPWIGvXOAv/6LdyNwmseFkSAIV7TqPLjyJYqLdmBupdj2jitg5Blkyja+ltZEoQINlCpphjyna5nD2UnXFcJ7HGgKqsRdFBon4gmDOtzEpOPgeFSQPNXKzkuUT4Cu37ZIsLJSOe3jgaaAUJfd3nUqhlFaArlJ5MOGqnp4VugmSUkFG38/QWtv3LYmI9SJodNh0sk7mHTtTLdpIo3RyeVzWcr9Y+n20NMSAiKBK9UOs3ldjO9+hhPj4RhD3vBlntzCyZt6VwImrLRl0G1+RuVWDYtpcMTlwmIcC+5G8cLlJU9XV6XPRjz0hdLInZzHK8KpZgi8xwaS+5sbRajdc8YuP3hKjIgCHIQu12gwjzFpLS2FFysFpeNAv92k3TmQGCtA3TSfYEzxfEVs6nNNC1lLhT3I3log3s4wRjIau/5a5C9t6DjZyZVDCS/dwdKuJuVhVVJa17lfcrPd3YZI30rteN0nICvl6A/TvW88nkRJogRzr04XvDlDU1C2ceiieB6sw24adh7FeHQ2efaco6zIsCDv8vlLIV4rBWcEdhTm8GX0h/sdToyH4wgdJhU9mNjP+i7loRQib7KwxVGCPjowDeubhLIx1dEYcL+CzlNi0KWwumKp2M3col3+ESR6P3/qEF7uqjpj3JiMy8eeRd6/ujjOHq60iW9B2HghCItumVGozD7x7edevCMy0VfJ4oporle1MyMcV4NPNmiJslywoIdyBtGWvcnNziRrD5O/EclnLcgTh5koho8z2zTiCWLiTgfPk2NWFkQxDwWOB95NpR8l1NcWJX/CwCyFu6VLafNeVAy5DBGt+XJaNI23WxqfNnKlK1dzeJxzogTc3OSQNJwlHF0da9HfcflUHdLU9DVL7BHJmdEDpLCl4wQnxsNrEQp3t7t48TDu1KFZafs1tdXn3n3dm64QGhj+yBMXIYIU7/0rHWVJru2pevUMRcEHeLlnlrxj5bHS5v/OeIk8be6xFba8a1LXsqUob9zQ3yYt8cViyNy4I8Tzu8XT0eUhB9iIkI0hfRdDO8D7mRduqTyWQslNStbyByENnMKebjcApVfX6NrOG4A4c7wTlfJwZnV0TZzhHQFv5JYbMhqUfCcmvTMil01dWsHh/M6Gfy7+YFiUhhQvlonP2yxjRK66eS7T9TjRr8azlj94/dEFBD0UQm8Ia9VLrBdZepYa6rKRG6fE/SSzVXJ2oTm3SHcEonUGO43a1E6RDoXjVsTJZLV8axUrQxxeCfzCelHCnxsP53YmMBkNMqWOJ5wYD8cRei7Yqe1kKW6x673YGmvRdh84Rba8IjRkgb67cGojzs9+aVq84JVdPRueNKErx1XruEM5nJ/mwQquzI8M0hZ1rmRJn4g7AmgFi8KIOqzHhi1SgQZnohxnMb3EwqyWZ3lKFisJ0nRak0zYoRHHFnuHlQSLyovKNtuN4IawBiYzSOn0teQ3Rsbz681HMKS8ruSMhKF5WLuW6I9E2basPjl9kCs7PQazOwheAkklDrHcdVnhY9/j9LhzxnwKd56bOtHcnRRXyMjo1K5lB5AOR189u4XS8W83A7ULf7HinkosSirkNS1fwzcP0LtonWWd3veczxrWjxIUl05vwh9tHZ9F50HX6Iw5ajgxHl6L0FET7SycyfzuoYwKRdxCIckKX5x4E6yIm+TH7zI84XLEy0k8LmmcOR7UvKhA6hYfkpLwJAIgBZLl6SS8JCWzuGhasfD8MCVJWli6GCk8HKZ0C72kfrGRvB7I2Qfa17Vz36iIccpj2T+XGJbCu/jGmW7lfZoWPtMHF5ozRGkR6xgkGffsO5vJ7WqVhCFJH4nDPOAD2X0VtlV0o1RZUj0TeM8atD358gaCUPAf/R8f74gthtI5GvUr4ytaiwrh8cunWj567GYVybv212+zGCIXmjyFayTyQnADXHWaMIibka1dSodww77zepMokTJWJB7WCXy37jjBA2s8fP7zn4cf/MEfhK/7uq+Ds2fPwmg0gsuXL8O3fMu3wAc+8IF7zd5qwAaa5vTri/JuDOjiq1qTOBJpa8AVH8S1cWKCZnoRFQR2Ik0C7PnLGS5dFQ3sEcP5ROHKlJ1gmEhZjThec9+HaM5KcDpYCcuDmMd5nRUERUaDSY9FuUxMUOtDp5z2BYu3g3J8dVgiy4wuwbAFgIqF0bnndSqeGqTHZ/jlMjH1EbtQbjUVQ9ksiekl7DF/PS3HndrxKWzcEjnSVy6LaUQG0Bot6mDUleAS8Ucyvhz4Dl7yI5RQMIfFbqFOo2ADCOuPqPDL8y/sYrahnAnWsPMhcraUyIBCw4LzYJXntYAksxPtj5NLeeEXe0SXLwi4j9HGw4NpPHz0ox+FJ554An7oh34IvvEbvxE+9KEPwac+9Sn4p//0n8KnP/1p+PN//s/Dt3/7t0Nd13lkxxSoB5K9KxyhfScsVwgwLpugLwkZm5A80nceVhUy00XdD0/HAl0WqxLjsFsIWIpWydaqbji5cI5s9doFq8sNOIG+9BKhXmfbdtQqtNt5tB0OHlojkuvMg/yCnnNJGa/luLvstpTe/haFNTIBZq2NCpe0UBwOaLpVNuJTxluKwstCiS+fJ42cHirXspU7MXK7XKvs0kXGjJDxXoVt5B028tyMFUIpD8NkhMSo3hbJjsyX1204H8KdLFkw4aek7aU8FhTnD+IvB6I9IoR5hTyrrf2lwyySGTkHB43DIu/e/PC55u/juM0gwPBeM3AUcOPGDVgsFvAjP/Ij8B3f8R3+/Rve8Ab42q/9WnjTm94E/+7f/Tv4hm/4Bnjve997DzldDbBXoTROV8VBLOQoU1wuSUctJm47lihM7q9f+YMX4PXtVi9PM9JLEbXsjZHySCxpHhG+YyMaQwmaqUxan2ix5iUKTdAjy4UZCVFoVylTiEMbD5UxjSGY9KbyctoB5sao1DyznIzxdaAFonCEmJRAmyqj+DsUHAfnn9R1BQUKhxAQ3gBIv+EQBADaJiVKUvMu5FevmWWKp7T4PnpxB66c2YLrrx449qI86iH5jHauKVI8xIjO6YSJxMqlDGnOX2NUUy2JyiwLppLHIcWfHo1G+SMtE+L5R9CUKJaejhXf94Ew/zSpq8zNpIKnE+LjQqPTTJ9047p50eA0Yjbqfe6vVEbyi/MsN5KehHGndiXYQ1LHQPg0GZUDeT6k8sf6jQodB2oJL7jtnrp2Bj708S8md4hW2WG+2/BA7jwAAAwGA/jLf/kvR+8feugh+FN/6k8BAMB/+A//4W6ztRZILG1KfnnmsEjV5h0/TJhhggg/RfCSGF/jvLDlfCJycDBbwgutkpHalVj1fmcLsUDGOx1xSED7vufcTwoN1GCCY0PAVUIw078SJBR8SfmVlGZPG4LilLylJFpo9LMS1NigeT7wy5/NK0cdjbCWENldCOW48isTD951nUQYW3huFvLHUFvEp7iBIw3sZLsV7FSBMxyoHHDltf70ymiaBT+WZdaNWp5uxLCGzIxzi5DiczTqUE4o1BJ/DU62A4Noa7t7nXbdmO4rHVhNli8nJa4N7u93viG+LS+E6/SjWdI2QWGT5RgAwGhQpiK5PszJVMt6W/K447liGWO6CQVy5yvt55YUIyLquH7aRBp6V7LelOoyJTKX0k7gRAvVK3emYvkuUDIOfF7Tbc7dT/BAGg/f+q3fCq+88gqcOnVKTH/44YcBAOCVV165m2wdHazBWMWCS4O3PXYe/tibH9LZMAlmBGXHoMW3mEGMq4BOavejYcK903l43cWdCEHk2Ra93bowl0KuSiBZSvDWapBV3LUC+BnRw2tcaicCGxaqh897qmwU1YGVNve3z5dp0/zC5HiUDeiUoizeO95D6e7qXS9Z5Iuu7+QhU+xQr2A3CjjKkqWdCgvgDx1r8LO/9UWFv+hVTNvIz/hvPqyxgUuNdgO5a4FFOpDoS2l+yX/q9ArzlXhML5zagMunNwtwxd6MuoNomwwr2N0I35uQ1occdF/+sBPIKenSvLMkt3QzF9j8uC2BrHGcyJ9ymkh5CB5tzeJGh6+3Fr6lMAe8T2WrvHjXpcDJ0tknhp6fu7HPElMtL+CywRhNznef/ziaDQ08kMbDaDRSDQcAgOeeew4AAN761rfeLZaOBHoPu0zBNdginZjg3pV0bvQuZUTkUabztS92N0fwricvi3nJAV4LwFsuyV/KRdMtScmf8NB3FFjWArxw80BMMzgTw83XiQU6Y2RpaQEhN/Koh4YbH0UecME9zMNhUh+Lk9qt5IxIlwPwcnmWL+I5nb9ZyMpmdSpXFkOBYizdqW9KVtkE+lWAH1qMhlHrmvWx5NAqkDZWtLoe9k7JtC4QKXTeKdMdxAOimXrFu1UW/4hpHkzhNxaOWMdK8VAaypQDCUXXa7zVjB344+tS6spkWk5uG4txFhimWlpwLHWbR32h6Cr6FfDHY8bqfx5DG+KBPPOQgsViAR/60IcAAOBv/I2/kcw7nU5hOg3bWLduNR93quv6rh+2ruvaTypHG8fz8QlHbjOqXTnqSQEIChH2hLunJaODFSiX37ZtYVFa+K3bddYi/IFnN7ei+qD8tbAQJdvB4bQuLe4n8RpX1n5N3alH27efbauB2h3zWTP8NVGaeR8EnlyaeBC8Du2Ny1tUtrZcAOv1QwwRXkK7xflrTBQ9NucMEF1jmPex+WM2XzZPbLw2nFrUprgO7S96dmMKfDkWS86ZdG/cGEVJTm9t+LLhf9cXfoxhXgU61rURHSt4UEZNiscKMaZt4Ef4JcOWzWk3HmixZnzgOrrn2rcJxuPyuGsdURpb8DzfpsnLx67vL4t6TPDoWutage42WbCA2MOIo7XXyUGC19WFTQVnXJN+RZ1r0N9evqJGxm1hcX4Dvh24fLFs9HgZiNvD0vAra+OR7WeMp4HxIhmCKnflTLyL4OsMSF5Y04wp1LeufrwdcT3wLx3T+F/Wj5aGeDgl3betxWmBF85D9iIC9o7KZxv6F/HldhmMMx4RnpqNMVIZQDtYgOi4OcjYwvOFrxtuvbVKO4T1CNdLzi+uQe2A9TsqNdUR8Jru8xvetm5+1ejvMJYpD6ENeF0tujkLz0lMA9fDr1NYnvD2w7jYuubGXV3XUC8DLg6k3RJt+tjFHXjmxTvxZACLdCXXT/GlLDVuP4b7bkIXuq854+HHf/zH4fnnn4e//tf/Orzzne9M5n3f+94HP/ADPxC9f/HFF+Hw8PCoWBShrmt49dVXAQDg1Zs3ASAYM4v5POJnf38PlsslGFvD/kHjNd7b2wMAgOVy0ZRbLGB/v0m7c+dOW24flosm/ebNht6dttxsNofDYTO4Dw+bci+++BIcbAzhcHoIs9kcrK1huVy2OPegrmtYLpawv99sBzqhdDg9hHlL59at24SH6eEUZvMGh6szNuKcUePL3Xa870G9dOVukTqTtmnbA9f14JDGOu7vH8ByuYS6ruHOnb22He54Xpa1hWVde/z7+/tgwMJ8PoPDQ+NxcB6c4Fm0dH2dlkvY29sXeV4uFjCdzVoe9kh7LBcLmM0aYTibTaGuLdSm4QsLgsM2/3w+h3ltYLlcwnwOsFzWcHg49X3mxtSZzQE8f7Mp69p0Op0CWAuzlpfpbOoXKsfP/v4+QPv3vO3DxaL5PTw8hOViAQtr4PDgEKytYbFYQFUZqOum7eaLJRy0/XNweAjL5RIWCwOz2Qzqum7afrmE2WwOdV3DfDaHujKwXCxhDhbq2sKytsDOnTb1qGtYgIX5nLZ7M0abdly0v25sur6fzqYwX1io7JL03Xw+h2VlAOpl26YN8tu3bzftMJvBfN6kLZZhuZhNZ7Csaz9vrbVt/9Uwm83ALivPw+G0ee/+dvkAmrFs23Zp2noRxkY7z/f29gCshcV8DovlEqauLWczmC9qWCyXvn1n0xnUddPHy8rA0vHT9umyrmE+n7cL7xKWC4DaNDs2pjIwm9GGd/WZLWqAegmLxRIMuLIW5rNZw/NsCsvFAuZLC7NBU24+n4GtLUynh7BE1uiyrv14ruuGf2trmM2asTGdNvLDjen5YgGz2dT322Ixh+XSgqlqWC6bOpu68jgcz3Vdw2w+h+m0adflctkqbU0bDKAZC7OpgfmioVcZC/O59WPJzffDaUP/4OCwHXNNfy/rGmaLBSwXy4YPA35uVq0snbfzzcHBwWHLT8PnfL6EKTR5F6YZ/wuomj5cLGA2BxhWDT91XUPbLLCYz72Rf9jiNAAwq2qo66Wnd3h4CNZa2D84IO/nrq3mMxjAwI83J6PmszksW+V3saz9GHewWC4AwPo5sLe/BxYaOTNb1LCsa5hOZ74PF4umrwaWys69fRZqAgC32zUBg5Ntbn4cTqcwmy2grpde5s5nc1jWNRwcHMBisWzWqsNDPyYaOTGD+XwBdSub6nY8OhniriGez+awXC5gPrcAtoLFYgnzWVBkAcI65eg4vhy9g8Nmrrj1062R9XIJ+/t77XhoZMBsNmvHzgyMbYJKXDm8ji4WC9/O1tbNmFwsYVkHHhbzRr7u7+/7cXzYyv8mj23xzWCxXMLtlq+Dw0NY1s0cdPLusF1b9/b2wNYWFos5TF2ft+1+584dsLZZUw9a3eLwcOrXkla/9/Vwa/98NoO6FfYu7eAgjAcnJ50cv9nqTsu6hv29fbh+/Tq8cqNJOzyIdbqXX25C2+eLRdPOtvZtevt2w8Obr+3C1ngIz7zYymNo5mizps1h2tb/9p3bLe9Bb3NrnRsHLu369esRL3cDXJ1K4DVlPHz605+G7/7u74Z3vetd8CM/8iPZ/N/zPd8D3/Vd3+X/vnXrFjzyyCNw8eLFZFjUUUBd1z6k4szZswAAnofRaASTDfqV5a2tbRgMbsNoWMHmZuN12tpu7u4fDIYAMIXhaARbW03a9vY2AABsbm7BYHgHAKZw5vRpkjYej2BzYwIAABsbTbkLFy7Aqa0xbEyehfHUQlXNYDBoPse+s7MN1aCC4XDoeTAAUFUVTMYTGA0XbT12Gzo7zdmCyWQCS9OknW55GI/Hvm5V1QjGnd0dUm57exuqQSNATrdt43jHsNm2Fa7rZDKheTY3YTjcg6qqYWenwbG9td3yN4ZlbWFQHfo2nWxsgDEGxuOxb5uNzQ3fFw5cH7o2cjAYDGC7xYXzAwAMhkNf/y3PQ8Pv6LCG8XgEAAbG4wlU1T5UVQXbW9tQVTcAYEHzj0ZgawODuYXhcARDu4DJZAKDQbNIn9pt2u2xy2fghVszuLEX+nMymUBV3fG8TMaTxitp9mF3exMAbsHm5hYYY2AyHsO8XeRd+Y2NDRgOZzAaVjDZ2IBBVcFgOIBhVcGirmE8HsO8XsBm224bGxswGOzBYDhseKwOYTyewHBwCKPRCKpqDqPxCIZVBYNZDcPBAOrKgqktVJUBALoYDAYDGFamba8GhsMhVMsFjIbDBteyGefDRbPwhbE/AVMtYTIewvAgKFCj0QgGlYHRcACDwQJGowb37u6uHw9zu4CRNQAmKA3j8QgG1cz3S5N3AlV1COPxGMbDAQwPa9TuBx73eDwBY5q6bW1uQlW96vEMD5b+2c3zRha8DMPRCAazGiaTCRiz1+SrljCcW5iMx2DMPkwm7e94DINBBYNqCmOfFvgYj8dgqikMh80SMqgMDCsTzaOqqmA8HoM1y6ZOwxqGwwqGCwuD4QDG4zEMFwDj0RiGQwBrmvFsTEu37XPsoa2qytOpqj0YDgcwaGXKYDD39Kpq4ft4Mp7AcFj7PqvNEoaDCqp6AePJGF7dn7W8hj4wZtbI1skGDKcWhsNGMR+AgeFwCOPxEIZTC6PxCBZQQTW3MBxUMBo14/UA6bgbkwkMh83YHgwOwRgL49EYBoM5DAdDqK2B8WQMFQAMBjMYDAcwGg1hsLAwQrLPzYvRcAGLegHj8RgWdgHj8RAGgwUMhgMwdcPHZDKBwXABw+EQaqhhUddQLayXn8PhEJZtu042NmC4t4DKNPNjOJi1hsUcNiYTMMbA5uYmVNVtAJijcXgA49Gopb9sx1sjx0bjEQxq56lfNu05nsAj57fhCy/vwWAwAGMWMJ408317awsMGD8uB4MZjNq5OmrrMJ6MYTKmasv2Vizjt3fid7u7zTrjxs7GZAILGMBgMIPNlufhaASDwRy2NjdhONiHyhjY2NiAanAHRqMxDBbg+3YwsI38qObN2BsuYDQaQ9u8MBqNYDi3MBwNYTyqYGENjMZjGFSHANDIkN127avQ3NmYTGDQzpvNjQlU1Z5fP508GgwGYS3Y2ADT5h8MFq38aJhw5U616+hkMoHhwRIqM2/H+h5MNjZgNJqBWdaw0a6NjXxdwNbWFgyH+2BMGAeT9hfAtjTnsLPt1u4NqKpWVrQa/87WBgC8ClvbW2AqA8Nh0FdcHbZ3dsCYCgZVBZvt+jmZTABaes554Orh+rJZD5o11elDm5vhG0VVa1i4NfzsmTNN+1UVbG1vwaVLl+CV+U3fjhzOnWuuVx21OkxVverxBx7GsNGe29nY2AQDAJubG1BVVaubTVoedgmfw9Eo9E/7zv1eunQp4uVuwIbQBhq8ZoyH5557Dv74H//j8IY3vAE++MEPFjXSZDKJFkOAZvFyAvhuglM8Kx9MF/ZJ3ZudjSHcOVyI5YypcCkwJM39olBHlmZJ6QZcWzR5aFw6vkkluj3CGBSDTvPgtHQsO+edBbNDiPV++Pw2XDu3DR/7w+uoXBZ1xFdTv7aRDKZpSBsSJFIcP6NN2wo8z/vTxhvIT3WGrXHc3gQhqx8laNp0A8bHcwMAuirSsH6X28u92hgNCF2L6ftf/iL0j78VBzET0rSx2raZQXnbRU3q2nCrilQR1Mf4ACTuU4M5csnGc0ouDHD1MLwWAa/Bc8DxZ1290izSl2Wfy3MpVdteVYSHzcH2tzLxjUV4rJM53T5ePbsFz93Y931qWwYMQBsHY3w8jKPjSGP5ZsAQvFIt3fca3NitfNtH1Qtg6Zj59PO3YHdzROZu6EI/AtFccf0X8PNRbYwJRk/bjmQCGzb3fDuYdl7y0eZQmdB8DmfLJ+8L4/O3bYRkljEGDIqdIB/uwx3bvv+FTz0PAzRoQt0NkzdYhoQwNN9eqJwROslNIy2N96Usl+KXYc12ci3U1/Deo5OMyKJQZ/wGzy86UY3HIIxjIhMpX5426zOXHbe/HzsiXiD8426lUonJIzIGjecLn6YLcxuPC0PwbreKtW8DYV6GsREmUnh0I4jO2VA+bpsY2jxuDLRjL+guMmA9j+OX9Q7+EOsyZKyxtKrV0e6FftmV7gN5YJrDs88+C9/0Td8Ely5dgv/6X/+r92Y/KEA+KoQWg8SciCAIlPQHaTScOJZQ4oWtQyJtKT+OK47zU0412gAAuxsj2EG3ekhlJJ5E/nBccqqxhDwIhZrN/X7Fo+fh3M5EL4CAyi+pVtbnS7Z3AfCsQSlv+kQ9nMsK5g45u+sqrdB+SYYUkD4KVpn4JiGx9WxirPi2pWcvCE4DaprDr4HTtaV6yrd8KRBXn+KX0nwgui0WKOd2JvBE+y0W325OWW/bAS2tCs+ZTi3hBaNgyg2zX1pempe4TU2ruOAbvXKU6bccWBrCzWtolXecoBTTjWHVu+IjHtoXr+7PYG+KHFPKoMzfekaVLTH7CvJIzafwVSr78PW5AE6htkT+dYVAm6xwRTxGwzslpEhG/GdivTcAP/mxp/33V4Ti4M6qkYsyFHQlbSSt4Zhm13aOz0/EdNLl47nGcWKDzL3B1zdrPIiw2tS9q/DAGw+f+9zn4N3vfjdcunQJPvzhD8PZNuTnOEP3CcRGPZ6MBQO7s5IpCjpLy3fRVpXsnVgxoR26fIyHXNvJlD+8CNaJBV1cG4UKSYfeo3ugU0om6aeC6zkzOGQQ3Ea8nGo72EixwYfQfHsKxo3HyxYpL8AL6hq8Zfm8nD/ElogzOX88rjQtlS3BSFYVIVUNp35PcnC/QOdI8hfRyuRpNXZitAj16dRPCuUuUyDFezB8ZHpk50zAJSkcMhMF3z/BdEsGYCkwByqpI9eEEsWJGhwZT9zRwUtQhJKjqGTpSNojgqKr9WsKd87xxC8G0PiSsMW3vsUyIIUzjDd5zdOcSBLOg9kyeACI1I2JS46eFH/a3xrwyyAIneTaaMkvSUvRS/LSPjADTJ23bDyI2dYxj+8SPNDGwx/+4R/C13/918MTTzwBH/zgB2FnJ9zX//GPfxz+xJ/4E/eQu/VCcqLytMRs7iqkKR1lAWeeA+6pyXmqNNxcQEr5S4VMCQ9JCWGFVy3Okm86GGE1SC3CoRxWCAG0JY2Xp7sFhY5cYSFXKaaUDBPjKDUCbEvQhfdIOLLlo3exMlEMXqeK1MWicoRervLSrl26RJMnu3VDk/quX6k5JNmBORxFxkrJtC1WTOguhFoO9V34grCaTXhPFXFpLAemFBxuh4S8Q8UKK51SqiQmNKOIpHUYQFiJTVOGENbCcUjlingIHddVqaT09ZHKDX3JQQQQy0Ts6MruJLVCMWlEZAyEkg8E4k1IQEaydIuUVj7Ng/AS5DFW6gDsIsuyO2amQCYhFJEBrmctnq/3EzywxsMnP/lJePe73w3veMc74Kd+6qf8wRQHr7zyCvyX//Jf7hF36wdZIe6HK3hjYgTBAcWsaCn+T+GFL8z60gRSJuo15WmCZyKBSs9j9fAEKzzXbf5YmQcYCG3SxciTcGo4MEiLmrWsnLLlrnuwGTL/iBQhhR/e5z5shMSv4vw8+jcPKa+8hICFJ6s8W8jNC7prwnFqH0cqAT/HSk0bwTCjIdyh0qZBTJOQMlysQPl4Xr0cX3zjbyzgO/9xxvyi7mhHRgrjK0oT+gsrKNG4SMkVNFi0Gd/Mv4SBJBjE4gf1dDZWBr8zJNRVN4jAt03ow/Tup+VKb8/1Si4myC/VECsk7eSx8A7LMYo7yDa+VspcRqjFUJ48q5k5A1Tmiv2koJDGX9GaKuUSOl+8zjyenGsDaYeoCzRjXy5dKrN96aOc2GuGB/LA9Cc+8Qn4hm/4BnjppZfgmWeega/7uq+L8nS5kup+gy5GgXYeIsK5Aj8N7gJlUy1Lf5uydEKLuCJ3uk6DfEiJLXIS/uabCeWebZm/lrZkPBQ0Do4Np3dzx8AFmFMANP6iA4BcQUkstDKviOfICBDy25iHgEsX5q5auG0aHBRLadw3ues/tbYVgqT8lsy75Njy45Uq26m8PH/Fx7LSuKKSTbJISllsOOO0SCG2UvgaosfCALiyYq1WASAKni1QsyPDyqH2Huk4f6UV7AA5BTJ7toIoo2XjJwXOSOkU0qm86OJF9bH6oLdDH+hcLDERrbXR/OkDuR0SLDv4+MBOjKhAhkaD08bP0q5TkRVgE38mhGgsCgiEQ+gCNrQTo7NlcVaVHZz0gV/+LDx17UxcjpJV0m3LN13/VFwqnuMJD6Tx8OEPfxheeuklAAD47d/+7XvMzdGBRYPXgVcGtXh0nAnj0jS1DlCy9Uny59y95FX8zn+Hq5Cex9XBK4Xx12iRi7bsBGVCjDdNhXYkhXIMsje1+V8LlcKLdY4HLRQjJWQjbyLD3WUJjmzDds+ce4yDULb+aj4JDADUjDPtMF50TijTGZKX1WjuW8RQMGjDQi559TQPVm6Rwh5hRNb/Wk8gr2TnIBm2pOgn0c4SNmDo1k2WftRuSY1a3qVKUXH5TVWJxk2uGenNNVb2Vqe27hIgzltDb2yyLC/f6WnkBvj8mKVOvLC/fWiXkMbzr0FHB4B0qKikxBHbgQzK2MjzxRKNdOFUfJtjcmwgFFQOsYyo7wJfVGGla79imLkdBySro+pIeoWECxEvcZq4G/GE4kr+OF/nNZ+L8Rbnv/jwp+Dv/cWvTpVseTDkF+OShoE0tz/+zMsR9njNOD7wQIYt/c2/+TfBfR0x9/+DCtLC6JVYK7wTgFvTAOnJWxLmxHHr2HQIgkAwAoCmUd5jAacfcExZE62iaAB+4VPPAUAIW5L4lFEUGjBh60HkUypXVUbkB6NT+cqkO9jZGPnO5YtBLv7bFOaTXlghrfRwOL+5Sc5DaZIvZXeV7GzxJX1eUncHTmFQdhFx3Z99Jf4oYk5h47S1w5Wynlum1LudImz4EQ+/tu2hImWGuqQBoT+5Pih1K1cTXZ0lpYzg6qDw59YcbIiAKR/bTXajyMR+65w4XBEzXAX0oirluED5nKO5aGckbYOr+d/15GX4qicuqriyPEMwCvEc4PNvPZpET5ltBR6wEgty++WMXSm/54mt69iwUkOXGc/8nQQae1ZAltJJNsYDIZUyllqTc5EVWARoPN/cpx97XOV86f0AD6Tx8FqGLmNQ9F5gXIWeREzcL6aoPPZueLpIuT2KiWPZQ6mAdx4j2bsSv7pxJ3wxNY7pjsvZ+FVTliiGQl8ouCR6g8qQL/K2SGMeyLvYsNIgZ8CoAp/kzxOSvMJ80VnVAZA9qyPUltY1DCysvEX9W2LcZHmNkfH6L+r48CLvZ22RE8eA0K/ahoAYthS9icvFiU3BEr2mmQPpnKrybJQ5BiUKW0I2Ks9dcaUP4sYCLdmkqstY4Mf/6kqZR2rjfk+SYVYo3f2I57v7rkSqn0uM49Tb0tDeHEbtnBD3euPm4mflJC9785zuizA3FQOXOwQE/rJgw9XZxeevSPHCOdOhD7LXfbe4hnxHWjGmit5xBvEYLuDpQYET4+EYgqzoFZjybdrbHz+vpgHo3ngJfv0zL8Lf/te/0hYsKKCzlc6TEKRh+7D/IuBgMhzA1ngoMoW3wuNdBl0aFctm4YV0WBKD5EWtTGM8pOKqs8pRKi3aA6bKvOThxx5cET/p3zK+UgtmCkryc2OtjxLsjWOhdMnim/bONW9LbvLyNE3BvEBhLv6VwhflpOl7yzJ5XTEyeuXFvFwRjFjOdIagVDkFXLCG1IhKUj7PKJcLH/3d50SnSc4IoziTyck80ecE/VSmE3AlBUi3NoD7NHgYZZgzDexujmFno0d0dUbZ5mlSe2WNeZDlfheHhrSjJ+YrfJeiw8th6Z3rby280+H2+DMGQk7u8VTOVwgdltq9+T2/G4eMcYPY7eqRtESDZtfSImcY4+GYw4nx8IBANHbRusiF2amtMVw6TW+fSnuLEFo2u1/dn8Fvs1i+kgPCVkhMWflyWppXLb+s6COh1HpqykKuGqhFRd8pUGVuDjXMTMOBASnsbuch6V0yrpiBw9kCiiClVAj9ZJIqqCvHcgiLFBb4VCkt90QCyIu0UwBKdkv4DSVdgSgrkB9TPi2RWNctXwmmnIJSUse+UHQ8AYUo8d0PrFhI7Vzc5K4ySaNuBeU8o5QXnU3xHmob5QlKWJJcxmjN7cTw/IxP108FCrV0iL9GczTJRyszNbnPv5LcBbiRooEuzgTllHvvpfh3J1eLaVmfu0gBV9YNt5sv54/D2TyfkVMnoZwLTKQU4q5KctQ+gnOqBPyHVRFERishE5tTReAjK1qc2EmCjEIphJrzgT80elzgxHh4AEAUVACrawVc4RfwDQeSoYA9SeVe3tStD7LynBKyktGRMETQM3OGCbgVetyZmlL6OngqIjoCNHKrSauMSR8YZEm/9czL8NKtQ4pfNIYQPQN+u1Y+0EYNHzFeHi1gJXw6HqRteA6lItjv3AhGtsZLkWOxwPMpFhPf6XHvvp+VXSAHsaefKRPglLkeDDI8uWIpI77skgFb1Ak26GUiaONI6wP3q8W/50PcZB6aNGRYZeaFwxVREzZSSkGq887GqE1ch3mZaO+uwrYAii7FQE6DpNJsy9pUWuty5Wo8jlosrhxxmjA+03zEspqUKjAKU1BLPGWMXZ7IZZSV5JeEomA4dA23FkRoEU4rPNNrmLnMFfAm+Lrf4cR4eNAgIQVs9CAs5Lr+TvKLf3eYfJIyUQolE+6//d7zAg+snCjMqLA1Jngt8G1LYAwR0lhP4Z7s0roKXVC2pY2VRO81TLS30FHujMTzNw8Q8TxtCX/Km9cYHaGEtFDgZUTau4ivlWWhUkobuzMJRdVKKLgOtsZDQo4bnSZoJhB9U4DVAnt8Awuxgk/yA8RnW3AiBCUktDt4o6/ZrUov2ha70DTIaAxud4cAU3Td2PDzj2cvsErULEJfamd8sK9bPHtk5R1Gyruk9MkMigpn4cQjYWJyBkQ87ibufQ7fKmlybk+GcPXsFslL+aS4gvyL6fCrlX0Z1kbSGSS+e160XCQWCTzOXb9g2SE74wx4h0pGkfTvULsHucz6V5BHdLxZKlcK10qulMu+N+t3fqKxoYxBvrPC2ZIdPoIcEzLK3yWyhB5iPUsH85VaeGthnvuzj8KOjXu1P134lzKXMi/H0VCQ4MR4OI5QMPj4XekATMkEpowUkKUeZrmEtA3NFx4X59rFQ5b2/NqIzi12s0FnwEJeEC6aMIvqCoqgU5QWmifUS/fCy94u3etqRL5c1v/wS59pcSv96xQNVM5AHMtMy1BDC0BWwjgQhQa9axmkNMApccFzJ/Iu8JY06FL8YTOHtTdfTMT+5bx0YMIC2mEyIFYYKywSHVlJ8oXJO1vqfuV8IgvBsYkNONk4pL9iH0TjQpNHAh1hDPM8Ia/j3STjvjXQ8uEQh6QDRlFmPR7QZUw3cDIOyRyFJVIqocTx+cENaEpZB2mM5CB1Pq1o10p5p8mVaCfPyN/M4DiIDLc4VDbLYmTcqmNNeesNWjcf0ToT846dM7hfmwsaMC/a2limY8hjxOMqwEJyCGu3XjDkessj50g5aZ2tayTlmZGW2snC0F2i3j9wYjw8IGDZg+Y5yyNArxILcnJRFP5OK2H630Ew6l6F0u3GZDsgT416ewhWtrkHRjCGUtcsSu/5GQksiEsWcpdYIYV4Mho4ZlIl+4Fg0dnWmyWPJ/Yi44kVFX3kwVxfeKgldIkBrC6myGBUsK6LP63ZKhMWMKl/b9yZFsd+i7FnCt2i3bBMWlFsb2EDOkdJNP8QF42XOxgx+CFppGA6QMsbyNcjd1aJtylXvtSdHzfFnIHoytlMOZC6l7UL4l2T54E/XVls8seylOcPQzjTVj2dTZg2z4PlN89jjDMYdQtO3GmM8uj18t/VMKFtUnZ6UGbLeHBzjYex5vpVo+1kY6/QuB79q16lXmy+O9rCO5bm/n74/Dac3hrncSrvtbDDkiX4OBkTJ8bDgwIF7tOu6mNJ/iKlloEWf0100QJmkjHTrM74QFkuftF5sRl7SKGMDRLkg2jpBcFN73NunqUzCfzVKsLGXQH4+ku7caKw2HTpP+zh5yhFJU4xyCIlqYw4Kt9P1GJWUkYcIlfCksqNNEdwmIeKN6VU2fA9D43e4XxJyutXXa62EMfGTaZmQoOsy7YNfWHEnasc+B0BYec2S7SURkGGPs1ReoHAYlmTNL6zyeeW1jd9lGW86+SV5FR+NSUNxfNWUU4d4A/caTiyV+ommZB3G7gDRjobIKCSGQSA/+WnP6HmFzEm+rwppznYuhkIXIFv3lFDjqwTCYUjyEshjekF0of08FfES64ud7I3rPUCn4jV1AUqq145fi/gxHg4hhAmnJsJOC0/CBMyZq3QbGfKBKzyrOIq/iuNU9s14YIUe3+i+FGRQRsp4slFJ1FpkqTwICEhhhIwAcloaNvqKfALJStGFoQkSqTE+rZMWDIJxTj5QR+FurQlHpRM+i7gDEg1r57MX0yffxQoNQ7lCsh/GgDCXE65l/IY91IIE0upP3ys8fpbzKdJGTAEqWCQrB9c33sePM8szhxYHsP6EvRxkAK5X6x3XmghddLuXt6rG/jD52SkswgAeGwZ8ivlCbjoL1jKl7yBkv4avTMAu+pWWFZzxbbzvBNx6mtQ6U64K2egcF4IfztoRFsfea4p203aH33TFXjbY+eTIXtWFWbCq4yMxnlKIYmroLwzAs7tTqJbKFMYcjvPOZ6SztJjACfGw4MKaG2RviwNhlvKgmBNTHRp4tjoAeuDTGjqOrAI4iLfQUg7trTzAzgT3i3QFjcA42P5HW7KX3d1p+RK1ygH60Pn0ZYOgXXjRa5Bbjsd/409SKJ3UzByco5ifKsVzrpqiFDGAUqU4Nx3LgAAPvvCLdp+ouIkKVc2ygMA8MqdKcwXNXAIxnlOeSzKphrXvUGYq348YMZa4vxcVh59D265s4Wd75Cy+kPRTLgZlg8bUdw4KWaPh1eJeeT3kiET0tr5mNp57cpvwQ6qA1FBRnIhJdu6wmhYyTiFd9Sz7dqI5RHaNCVzTEEegFZOt44c13eFenhIsyHs0t/ahQ1hyenh+dN32F68dQjDQRV3A3OCFPOZSCuFTqHYgOVjQR4IN4ylxrDmTMwOV0EWHqerWTmcGA8PGBAh0nO2coWfh91IXghqRKQXFBzSo+XnBIqvqFNcNSEtqEcpIU2NAbqgkF2JNk/NlG1jXFtR4cyVTMI85wUpymlhxnQwQ3ml9bGIB93j1eDRvWFREtpJKFVscmIzWuQFo4FDLk3D2dCLW0ntL4Ge5N1tdt9s1M44Bt/hNzgRPTrSLgzJ8+dj/dMt6frZKb9qTK5SL5wmz5m0ws/bnSo74R3BkVJQbHjpp4hi7HLchC9m0EoGlhUY0OnEeYLjBhuJTsGzrZPH0rwZ6KuEuV2TNz18Ft5w5RQ13m163jpIxoILjMW3JgH5WzagO5FQxlwsZ6KybF3rQjNy6mQ6Ra2WRTsPileM7Jj69axM6VTXDWmRQDAaCKqh0k8WIvYUXuIQrRJjQFo/MWgyB4M/V4MxWJcmG4zaOylNlGMJ+SqlHzc4MR6OMeQW8pL8felwM3olr0Kk4JYJ85xiJ4GqMCTyBHr6Is/j+p3C5IyIkC+mx+ng9jDALvW08mJIFkt2zoKC7GnqIsecMiobRfLCptgaMv4WW+IssIw0A7wvHAra9xRpLQyWktE2qEyvUBYJXDkSbuKVZmEsZihxbzk3PiOUibARjCs1ZxAqdd7iw5jR2EqE4BHkWhKih72HPI/07Mo0PLv5hfizjucQahPmfshXEfkQjCeH0+FKQc5Jg3kKzzQ0qYL4Q1pU9jaE+O7j2x47D1fObCFmOjgClIpVGQ1KG0c5KA3fFWWptMsglCde6MK+EHkw8tC1mbI4H37gin0fZ8vmJP6qN153Y3keC2vOuv/bCO8SxiulE5GJeegIdB3lc0zPr6Vpa10Usmbl5+MCJ8bDMYTcgV8PHZQrcSIIE9Utvxo54tDI4I+wJDwAGIEvlzIwCnmICoCg/ArtYHgaQYWuDM3RFViw7O/mnSVpPD3w1XDvPj7EPZ/c69zJ+8GFH3quMe9MSef9FUJWOtAGt1hT5W1loSt0kLhzY9Ps9rlJRDxIzpU+ZAj6A3qYT5GZbrxhnKm04rESad50lwGsjMuwvkiS815zj9KDaJwkQuNUzzSkvwni5V2houqfC/oDG3RdHZR4vvX1bhr80NErn/xApUBIkncki5dV5ZVRur5TOcoENfIkSzPiL1Ofhp71cs2yPBLbxeuZRjBKcwYMXfUqQ3cfjH9vonUpdjaUMobxBFa5ISK3g64DybccCgs1yo/hCy/vJXcrtXJ+XTLG92vnSz16ztd7ASfGwwMCpdtrzd82ek7d5hC+NxAWbNHyTzKoM1UiBLlgFcsR7ySf2A1NTZnnCodT3Iwp+xq0VB8nSGSBJaPhvmpfJcF74TxWcV2bWqauPV0FeGgSEdSCkm3bTIQHZijKBmPaSNa8X128lL6NFKFdtAMmGXGZld93K9u5s4wV0rRk0UaeepVDRJbrNeI8zylaVGHnfMkGUpq30A7xO82zrdgmLR4bv9Nou0WeIMcf0AM2znX5IvGCgbdDMMjiAjlvvAalhgznq0ieKzJXGjPubE6kUzrF0ISyzS+SuQk+PRsF8jh5mx2bcy4sqMoRZ5Az7sKczk8Ct0zooWN0feZyQbVbxH6VZY4F3Bc6Tin0J1VDfOlEgi2BzwSuQohCjsU8MW6uD6T4SxqciKK2A0HerXOhPmI4MR6OIcQLkSpxAMfcpw4jUqWs++IVhDst2yi49GYf7nlOGj5MaDoqABkPlyIQDFspY8NK9+jSm3foyhHu626UjmYhio2VEPPJFH5wBktch5RCIiU1Bo/LJJfNgbSQJ1F5w0xZaIHyi5Ve/ovpEeUNqLJNvtqK+oP8jXnwxq8+X4Rqxbwgg0dT2DRlEZOK+EjwDIC+6aAh1YCNzdS2UwlK0eBTFNBQBs9DNvaRfOg6XEXDjeDuhi+nnBLlKsWL4IwpalvgxpDEA+rLFnHDT348ScBs/84GCC4LAPBff+dLgU9Cx5BfXy6lVNr4vFAnZjJeNYe5WUuQcUislYK+w3NM8qCgtS53DW5Kwc2xECv8ym1aBvVPqULuCkTyNVa6Nf7SqI3PlzPIUsjE9vN04lTyQcEOQ00KaS2BY2QfJOHEeDiGkLqDOExARbPsQqclgCdJSs5E5KywpSlTQv9GKGI6BUZHnlqajrSg8V+D/qCC24qeS4mOxJd0iCwlEDFut90debQFxQaDGJ+fkOBuJ6fJRj8cFL6YyvJrNJU2Si82gvHF/lZYZzy4BVYuEQ7TofvpFdzcg0s92rFSJtUh5Z1bSl98y+zOENwdwNc1M8d0jycy8lhmr/y276SrHnPjlYOkJKUUDceX2pcsL3d+cGTStcjqhQOS8eXT0nXNeruVuZaDZv6GgiVhl32WFz4/SuZtn/pIjiV/iYGCXHUaAXXCkTRcH1ygA5+hHOOvuN5BRkmQjFpSdve0fNp4SHrTE3mkzi9ZN7saWKk1VVpvks4frggUQpJeN1T3BZwYD8cQSjz1AB2Fe2Zec3ylg11T9IlyzieqwDjOU3klJBhRpV49jIvc/hApB/hjRrqxBigPv+GjUVBSh5djIAqHKJB5gfDLhV9yMejIV+AP1UvgK0W3RFjy+hOlXneYoyx6Yk7hyi6KCmEaHsaMNpANaAO6QqItnDWbNH4hzwx+CzYKhenS8zlPuJhPeU+uIdUMJZRH6hfbMiIZghFPEHCJhmNSloZ0F73sxj7PlxvzUT+RNk2E62R6yhTmiwx0/KptiMgmssIlED09Nto4xWd6yK4YyH0m4s70oYN/8eFPxWmSkYv5y+DXaPnyBZZPsztfNo7Iu4THnK6N8gQmsoqvHwke+G4+tv2z9oFSQceLfJ2vgYPZQsUvg4lo4xdUVulIU44s6Tp0eX6kjTtMZ1WH792EE+PhGII2QTfHA3lysQmQEgwiPfaXQUzk5nLJlnOkHBQYMjnaspfDRsqI58+3UVBYtfaSDmRxY8h55mNhmTBEmOKNBXKXNdsvyKqgjncJSpUC8YyA96qnFHcTN1IG5AVTyVesaTDWWQfxGmRvfCJlqfacG/ukrxX8OCyK7zzo4WxsxnoFOP4Ni1Z8fznDKhNjdAywNlQMb+xB166sxcq9bBisADY88Hbhyo7f0csYGyJ6jEvgOOcV1nYSMF8l4z43Fq36h45eCpGR8xk/71Ihfny3QJqb2siMDB+FZ4muK+DPwHj6PD/6eKDQRnjsS3NbMiQst6q4kc+0V0+20KCXQHLk8TVPc1zhc48kW0LJFmlx/SFR8Nb+DD75hRtt+TJFvENkanInMAUpmZZeDROEOvJwLyG+j+sE7nvQ48rLvxocfxHWojT3jv66Z9mbEjQUG3/LSuQzXH8YKxh4d0DjjwssyUvEWwMbPhJ4LzRSMjkvYjmgX5jGoTz/v//+TFwvaRFt333sD68jXsL9/FI5/tEap+S4Lig2Ckq1EA2wwG7bj2BzRhtuow7KmCuKx01ol8JbLYzUfvIYiS4SANkzS8qh+tTMcJQ+GGaFvyT+AOHknGLlX2tMQdeJFz5ciYhKZkFud4iKveRCNjfWdQyMeFvfqF6MZ5w9PDM6kSxMK+U8TVNocN9Rj2/jtdPqWnElNsqhKekyvpz8KjHCcJ7HL+223xxBu5eSYszHsrCNVBl2Hi7C0f6KjhiahquXOw93emvc4PN9L81GzDv9DfnCjWglBi4PJya732ysYDmH80f1IXwKxgf1lgTcbE5zXqXmDmMytBuRL1bfRdN4lumFv8RwTQmnYvAAoDOAxeWYcYPTBFmNVZJg2Mst0dVIuV/hZOfhOAJeFMEtZrpmon1ZtPTqO354DKNPCRy6kDOmCyeQlO2Jy6cAoOOVgO5d4TYyFeq6IPG4cRMRgV0mQIKX0cCbrp2J6aUUGYWA1BcS7RL+aJocX26UNIB8l6cEf0TI4ywbv6n8ueGAPWtinaPF2v1ali9PmButvODFUxswGQ18ks9CGJUqEeQEHtfFyg5L0zzhCukIP158g8FNleWuoX5y9rSynPpqsDdUI4NGkaEm/I15r3H7ccUTyRVnkKSMNEdIdEBo8kFVyaA18tFurAk8iTx0m25icTyk/VjPGTdFdCOtntIQAMvsfLtLfBnRycTxNzQMeqZsmja9ZMT30TvFrkR2XClOwQ4OaQXzVWpj8SwCcybSEKMunMYlpJsmU4bF73/pZsMDBF4kp6qB/PQI8zbH8/GAE+PhGELR1aHQCLcV5X0WRA9CIdGSbW8+Ub/s4TNwfnejM2Pk2wCJ7EkPKBMW3IOEs/VZkCThTJxGLC3a+nX5jInDbTIeK1Ke/Z7dngQUREnCfAVFq+TjaM2iSxUtY2TjE9fLKR90l0r2+r398fPw1W+8pFcQMwNiE8lxrZE6GZ9ryDrLWiMrodr5Nw7VoKrgKx87H9Ikp4FESrJ8CCsZHIqBlOI1fo8X7VjxQsyScsbk5Z2slsU8GYBgmFsbzycFB36bsdFIPt2gwt+B6Sehixw/petEzsFhbfzO/d2RnNTnrlihgzkCvsvn3qXAK89Y/ih5c3KS4+xSjdrG50ocLkw79V2DppxsQOd4cSFExeuUEXDmbdg2Ld8y3MCMkeiymrYH0HypnQRh59A9feQTX1J5DSFl+vwQ30n0sJA6JnBiPBxDCPMhHqnSpEtbvDQPpRNPVA0HVeYwQ3I5i/myIGcSeMEeGp9d8JZpbaQpOFqcOH7G7ZHyWmIDpPOChLx/wIRZSsAHhd8QZT5HLwXGGHji8ik4tTkScaQXCmYEIU2NG2f6VcPCgon6IjY+CVLgwUxSZA82eHILtBbS0xckRcMiOtxQSo5l3Nc9OluIKOkMVnkGiJVGyWgIYW9YmSpnLOexl3YoknNUUp7BGT7MGHLKW+RZbV5lIjkRfmY9FZXB9GzEn5aXJsSKkzTHAAoNF4kYK2Za6xmPjQh1kXGs+gOSbEW1wOODywlFOY9Q5LPIzACoCi6hbQU6CQMo58AixrW6gxeQhbUFV6Fsgib7RDCipDWvq4zi4dmh/QLilNGaGuukXMHaIH/odVWpe+/gxHg4jtCOtxoJhkbpoIaCOjCTkzh+Lr73O+ndbH4fv7QbskfeFZ1FKyRy79L/9+f/AG7sTdsssiKY89a68AnL3mEepNK1pQLJ0VG98IrrhHveaXE9ttajNHlFMHcjV2qb2DWftkhFBgOhi9rIpj4IZVF+mffICABZ2ckt5ob9Rjh7CPeHz2+HsZmyEqFM0U8dRPWGrKD8+b+F/pIYK3Ey5PgyQBdcywYxMY4TOC3KH3mRuWVayi93MrCJTqea5Bxo3lVoflGlV+4DLnNiT6TyDJm24nPA72YQpmgeVBZffkDmJnqOblUj9FTWojxuLotnjgSZRuRIbhZbEORsmdER5mEsjwwYEsaWxKWQy4/3YEQhdqLnJO2WQW6HUFUcpxW2jcirrM1jf5dUFju3JPxY1qeNjAR/iAftYLcc3YDWQ6aU5M6YEHCxhzne5aX/2MGJ8XAMIa0YBsh5iPCaVnJdWcCrTARLPbi83PZkCFuTYVgwGAH5LmaaRqrUYcaZlg5fDCPh4le5QM+lfemVvQgv4S9aKHWQDZBGAxeNKRvfFOXzWYgWOS5kRUXDagtU+hpXt1hhXFj4ywtmelsdK4s+TVnBxHFNyinKtv/NuOIgLJQiz8LYxwcn/YFXP7asiIsMZU35UDzvnQ17CP0U+iLebXE8f6qN9XXDWjNN8C6S5g2NeI8yM7nlihvj518ujEFNMtQgocpsWj7iMR0xmuov4S0AHbd+vgrZK7YzJ9MJvzlZ4yApj1gbR0a4KVDiW9htdyopbetljsyXKT7DlrK9/Dsk/6L0dh2Id5TwWLEkP36nKdY4u/rhQ1a4drygJMmBpxT3gB0d0kdZJXBrluYM4ka/xFNtbSwHBVxh3ikadKqRhJSuTp3Ut7HE9Vbhge5YxHnC2kD1AYmeWPAYwYnxcAwhDNr0gFMXPgFk7yTHF24BSQmx6F20EHEvUeBB4gvnaZ6bv6R49Kh8CYMsn6sfvsa0MuCvixPLu/YzQVkESAlu+T1eBAAtBhrrNDSpye+U1xSk+jq5zY15seGCVusMH7QYpnBiBTJp4+Y8cYpCLt7+o+h1sZ0TDCtrLVzY3VD6S580xLMLbkzp/PgUZFTnzioQRxdrnK949BziRTYQqJMNq6MAr+7PhPxCv7YIusgE6vUOcyyi19IkH9LimSQCbTpW/rmTwPcvsFvSuOHLyEiHqLH8ij3o1u9UqPYPf24bk7cRe2R0FOSZco5cF5xYRvE8b7hyCh69uAvndyeyURnxZXwbAZszlKDiNAAnb+N3qUo03v6gObsxaYWOcn1iGQ9+rCTmB6EHdF1xLxrDjM4L/RwK0dSjKpbsXLgb/NpqAXfQaZD03ntm8LpJqPq1oUTeF4fGSXzG6DK6j6BkpPIpOPHaw/NI63oC1bGAE+PhOIIwBlOLEytWTsbmhQrb5Yv48oqQIOB5/hR/zlAQ45bFRbv5ffHVg/BO4E+qmmzcICW9rYsheSzL7/qkmxAkuzqInuPLWrl9KZJwiBBfNcqhr8Di8alAFiLc5zQLViYiYzVeE7M840WKfqhNBiluOfdRudoCjIZlYtJhKjHeACBefEzMe8Xf9dAeI4VlRRBRcaW7AIcbA2QeMRSVsvvDIVIAsFcZL+Be+ccHprmRF4xjlXc8321sUABxIBgmc2K82hkqiQPGchZSzecNJvyOGXJYaSRp7Vt+MYfmQAi8o3mLlMW+MsqNo9EgzFNRgZQKYtCEqZDE8ZeMfQm9Zb9Sfgm/dp5NVtgZTXHRy8sIb2iz9dZGdLXyEBtmQkcFA99GBluaUH5e+bUUvcNnF6S1SyMj7jwgJMFwoVEDmJ6kkxwXODEejiFQj3vaQyGFkKjKlffEKYspJYB/QuYkmOSf0jVqDmrhVFNqwrnyv/Cp5z0tt8iICzIzlLhArjQvjltCmZAzrWbSR2crNXI0w6ckRjgFWhtxghbC2HCKgOi5c4qUxV7eOIwhHmOcL7TzJS6KKG+iCSTvnBEqnTp4yulx/LU4adIQlFn6lnh5ifImh7dgnnc3R1R5TvDc35x0OKhCoxtRskGr7Wzkd9HSlxN4PFBuzGuKu6NHEIP6p6ocqrfjWFofl+fJq6dJJnF3z9FBvDv5r3Yv0+hEnjgdpPBHPGCXtlAO9+XVs1ukHbiIxwZmCmyrzb798fN+x42uS0yBxL9o54sbsZJjLKbdPTEytEwwbCEad6vNydQY9mtWAQl+BiZpHErlTTqDVZ4bmnn8ANTo0PDn5GWKjmk7KhUCFRcS6BHHg87D/Q4nxsNxBsmD5ZLwHz47UjwSaf4dIAFusHIoez34jOPeeOLFsnK+iAdmpFCPQbcJFzwniXZgdEM+mhF/JMfxRzwNimIXskjGEI3FDQpAuKJU5tk1anjHD3BLXm4NUiFXWjGLxLOeR6GXyC+lRZ5SKDPScvWR+MOXEkj8+QfUBdJVv3jse7qqQdriyhl5WBnj49MY2NkYwanNsZRMeWc4dY7SfFlLvzP++su7ZNzi8pLh5965meVljkwu5lKbIJgOXviFfopwem4A0NSUndY25MHtyx0JXhYyR41F/OF6GAAYjwbwyPntYAShvifl+Lzn9TGhPqSZBGOc1zB7RsSG3ZzUGDYA8LpzmzCsAi+Vr5iCO0k3du7kPhLn+MD4td1rACb/tR0pCP1KEelFnSLuz6Ap+BN6MeEPK+kpI4/ghHjMiGuyMvabHYL8LKVrfgwGkAzQ1jpRfxBwKfqNxGZwxnbTJ3jYNN+NcQ/Ns74WK6/uezgxHo4hiLH+bGus62iMBjhwq1gWQIZnZkil+MewThjZI2YtWeQAcNhSrHhLkx5vYXOO84IY5zbRPeKad929cwon9l5xkK6Hc97qGjGIz10YiOvOBZaBNtTFjYfYrigCdS0Q6hUWvpxygf8o4SGua3Z3IWNE5G7bwOyVeOOdkUiURQj9tSrQ/pUHFDeIcQnGbPxOKrX2lSzw7A2rjHLgyrkzDxokWc00iaqoqQaCCYouy++NAVxXCHMyb6SgZyLjdEXVusyonFiRDM07h3PYmy4iBClZkyKROmwatamrqxK2lMMJwA4dp5utzRNr8xYPykIoCQVUvxmEeWnbgA190uBBjodclidivODkUJZFxZFFcRGc3sqJ15fcZRXRuumN+YSFJeUvXNHmy5rwpyANZBNdGukd4uAP78hlEpm1+BhuPJwYD8cR8OKW9IrmFMe8MwVAEvhABQpJUA1sGwseLwiaV6kD0PLNBvqMe+raGbogt/vBXAENuMKv39JFFcnHgyI66J0xBv7IExdhezJMlue7/fiQpeGZPH7cwQiBKYsTLwESSob5deMC95k3LNqzGagE9sg5I1cdu8RA4HUWmOkAsfJCP2zndn5cqFVtAarIqKb1cn2EvWU0BC/JUZJfrACQ9i7sYNHgZL948cypQ9IaHxbIwqAgUeHEDKIPEJomZFG6GABlj8E4o58lGurdxOOQzVwZN1L2mjLh/ETMA/hxpNl2XiZG70LfazZBSX8xcir8Xnu7lmdd81bn1pQ20YX84R1rjVeXpvif0NyUMzmlz5By+lri+jzI7OYtn7eS9zpVBwmiucb+wHNHVeIz67RV0pp2U76HgxxMTV6HA9U/4iV0okuz7n9pnKJy0rdROIgfy+OZBMXDCElaOcn4Er/zkBjgjndXLvAaOyalca1FHeTo3m9wYjwcQ4i3y2KRlo7VltMkxdopfZUJikgulEA7aE3vf8feIooTT37JC5ic9KjcFlPYkzxjRdfxjoycysR54/oEOlXbmAYAhpWBYbQTkugDzwWF6PAsUbK5wHJjJO6L0M6xcvXI+e1sCJB2HV/EH4JoW1wdg7hN03w0vABRVsR0hpsYlYri2fRhGAeix0/hh354jtJOQTKGXKTjFm1DKkLmjDdCQ9gJPsjr6Sj1khQMyqC2GNJfTAcAGZ+IDlZMXFIlOC9E4Hkk2WNDPk3ZKeknfpUqd+ZIxg2Za9K8JYMSwDs62kxRGzvFEDPPgW6hdoJgYNFFQQq14uDGpoRUzo/GmIDXRA86v5oiTeihtccR9gYM0PHndvVCX0TMh/aQmKdZxZdGQFsCXNEPH1LFeWLZi/OUmPsGWH/yeevyFVZCymaV59hhloDkjkUqC9WnmmdlfSLkZLmH9aQgf9NsCjbRfQ8nxsMxBOnKLxsSw9+GZiMe3YTQCIq7UzzLFlVclvAE8oSJ1lI0wzm5ZdJSUHgRWMZCVkVmYt55e0nKc1AOAg5t21re/WjEDA85CjTj1Td3S0t6EaVlzmyP4fWXT+kFWDnbtmRQmBjTkULHdaS0EuKNZOKxwosVVX6TyHgenD3iy/FqkgaqRtIYd+ZkPRD60vpB3axLJpr3Tf5wnbKB9BgIPMcGhU/jv0QnDQcouYGqez7xO64cxNaGFrakKqKJdKkiiv2YNkZ5kmBQkMOlbFokjUJAfGlGDqSnWqkWIkzRmE4Gh6S4S+POKVUYv7tNKxo/WMHPgA8rRUaWZrwm65FY43IHhLvGy+Py0fWvUr5cRbwt1F3qJMcRe8fHQ3yTWIIOxGOFg8fnHDAFPEVp6toqA9YtYieXTkdbG4ItGTpT+u6H1G7H6eD0ifFwDMEN2vQESh9cjQ0EwZsMBYsHNlYkAwHhksB4AvrH0fAvFlbpQ3G4luGd+qEitNjghe+l24feoxgyI8NH6Au8uEvtlxKIPpQC2gUJ01E6lAt3X4/UYih54VtlufXFiYJU0vm4csS9r7heIu9OUVMMoYhnrqixfL6pChR4XB8xxhvPi0LB7nadAj90DJdCMCLxHEPPioILbRr4MWDJuCig3IlPANZ1hvy0dLFiqJQDIHPNmLYtU5xmZCExAtCiTq9q1XGSapkwryx5524zEsKkWiSJ6SvXqxUyWoy7JyN4Znvojw2qgD5OM4X8t3OfhwNyXNGz0cJHLPVJGGEnyk0GBNkD0w4nnk8dgdeMnHdB8g7vCHAjw48dLL/QcC1Zg7Vmc2n5nWQZ5LnpnFt0/Uidi0zxkBRfgkKdMgrJK4Xgczf2A4EED5FcEYyzeDeQ8hLpUwkDQbrl8X6HE+PhGIJ0c4BlAjRnWPCRrQsQJAWNPuOc7FBDL9yCx5TziC+W5h79gekSpiEWWFy55IBDwfid49JWvRaGgxUMz7CklDIg5ywEIyd4kxkuoHm0tBIwXuNmZz6kvG1WbCAFw0fQHiFeBILixSwxnEcxYMTQqQTtUD8QBoYgzMFCVRmoIWOEodJ4QY2unWRUUgs6ycdXJIbT/woI+ZWC6gKusyLnF5U3HQz7Q9cRZQY1RRB3Jw6vIkp2ov2KeQZaZx/OlsjP06TdM7kd4hAe32+WjrHYuJHv9RchY0V6WZ1ARneg2vzckRDx15JHadba6BC6uqsoQO62NZ7EPzqIz2dgD1Z0M1Wn8cN2QdDgNADw0LktlAb+GX+DRFpu+TpDExkP6kIb+kLdYcuNjxglM5ggHoup9brQsZIOx6ZkTm2O4P/yFddInn/33z4d4QryooiFJC/UgKGMlRgNJzsPJ3CkEHYeuBBEfwhjkCjIEC/W8QdVEB2yUMhaebT4R8qO7I2yAOxMQZxnUKEPAFmqSOvKSAzUkysLVvdLv+FAcYv0/PrgYmS1r3EnlFHvsaPKcBD0CVRoUYg9XGn+HZpcuI3o/TeoT8TOKHpF+GjyxAqavwtdoZP1sglKX9r7hTWhvFrmva58AIoGY1aHI31uC3lwzWZtHJ/fFaLhppAnt6NlxprLn7vNx0DZR+LEPGgeYcD6luvfyIsqMMVlLcbj+sXJVTf/vAxQ+j4FgT8hzfGFZU6BUiUx0Tlm3bLfVJYCRSgYFPkzSyq9dpzj9nIGgo2kSMSAx4HXL1de7QO+huAxT/DHz8YY2JmM4NLpTTKuvB1R0LaENiIjiZyS8aet/VE5QfZyY1eibQDkCwwEPFZ41xUMAJzf3fDnHpPLJupLjd7hbAkf/M0vkHeSgwghDY9A6yHtsEmO0/sdToyHYwg10ib4DScW5VEnqo2FhSywwoAWF9ZMccueqfffpYZt0FAvNPHax6949HxjYBhcR5fHi90kSN5N3g7ua8KcXxw+ITUrvi4QICwC7saeMkDtjZSrQM8pgl0USLlnNM9RifRSb+/BCpsFMgBweILDEd+EE49JaeucE+4icFOLCGbBor4L9YkVBap8BCMPn9co5S/sxMi8WrCehzBGXCJVksLhaPCGjGTIlrCWO8SevmKTGRYtEsdLqGvcscaYpi1r4apkxoikSEndhT37fHA5eiKdltnGS+4s+6Dt4L4nfFnEUfszqAw1Crns8BqXYW1Ex0jpTmNz4UPZV8/FixWYYsz7TsLhDToy32WeXb34N1Wiual4DSh/dH7I/NG8Hr+hY0U1PAUGXR04zdzZQscnlqFkp81SqjknUODHKcT5PKWQzM3WLJLEF1P/UsFthfnO8pXyjo3JXB76jr5c1HWUJs4nbIzzJCGPNMeOC5wYD8cQ0tveev4a/XIrH8dlEwGOFlqvfBhhIkg4ufdV4S9CBbhYKLC7OSZKUdJDw5RTLbvFRAHgkQs7gpzjOy8y+PdOkOI0qU0jXsICJuk3KXsP1w/pHnkRS+plogU8B1g5bF7IFLUv6oo4lfEt8eVwdrnNSMophke1q3ux9963ez7sK1E8gtTNH/hcTMjPfl0Wg+YOyO2ZasbU4X9iGxr2kvDMP3goKNLMaK8FYzfiK9PemF7gRZ8fRmgkHBJXcvsWnsPOcfH4pV04sz1py7FwyNbQdM3XvgwGKoSxmGjiwBPzZnKFX7sEgtdHOsTe1CutGGMaVqCH8dNeQWmItO4LU+YHtdkoPewlALoO6ofZuYPI4O7pBWQtdgYWb27kgArhu/EKGRk1hTKxi1z2lzSw6ZFT5vlcIzpC+0K+FYqFEEseAYbT6SJ0XdJ5K9ohE9q7FvK53sHrIp93kgEUtccxgBPj4RhC8LiHd35AowUjjqcL+UOceUgL3h8T3kE8oPHiVm7AMFlm9cVH9q6009IL19xHhSRnhyycAainmN/8EX2tGcLEx4KfcooUIe5ZTPDcFoz4DIcyaRnOa9lCFitETumLFiLCXxhPnA42OuIdBRmnJFDxS+3bHoHnoFQZlkcCsWkEr7p7VbWLtvfaquNVmB/AFVV5kY43X2KjE9nnzJqE2GIk5WxbB/ma0BQfGhjOgmgg6GUt6Dsxhv06/Dj/hVMbPsG9rngbqbTDPErJggAspMQEJZiPlagd2gJehravR4OKyWGlPOIZJ7kxCUYw5KQG5DzlX7X8GPqr5OOJZLwK2EUvsl8LBCURnIIb43r04g4qT5Hycw0AEG6SUxYtvLss3xym9VMHBZz/WvodGeyoENtcXVvpTg9Z16O1C/zgyg0ZB8QhxdqW6AMlxpSQzg0LYjQo4zZFhhvWqe7BOpNmQDsgNLncR20URRsgT57llYUw3sqjFO49nBgPxxCCYJOVqybFtl69MNzJJDFuPMc4iJ5h8A08EE2Y2EsiKESIU2k7lXMgelMtzYHflRowGj0OwVNI34U/YgPOCWSsmDSv4rAl9QYS5Nkh13CiciUfyLJWalP2lxEWSMc7CA0QFW8XdGR0ETycOFEwjNh3ETkbt1VYdG2kMGBQvZy8Lxx7fLxBqJdXiIQdEcPyA4QFltCRLD+BH1JOWPiBzX2L3lueReOF856Y0xF/UQ1khUEbf8SDV7BQYsVxUBn4smtnxTyqoVnkfW1+Xdy8xB+OSY4NZ2yQSHPb0PGaADcW/ZkJ1heS8iYp5KRigGSHwMNTD52BK2c2BV7y41WrA/ZMY8U72hFG/RsrXDqNU5sjuHrGHTq24cyD55NeOnHlzCa84copb3z56Yi8w9RxAWT9LLStPW0OYnnTrsmJNsLzu/m7XLv07ZEwTDnO1JqaAkmGEnrRopDGhYUU0RVSOPAaFIlNYSwncErrBAfp1kuyNgQBS+nh9ma6zHGC9GdvT+C+hLoWBly7oEi7EiGP+0HCiU0AHrvvQDIKNMA4sdGh3cThtm6tUJCqSsHLISlFjAt6zSMTziW8h3cUF/laNSqHD33j25Nyt4FgMGhBScW/O75cQ4WbVujCzD0bpA4RbbYlHRGk3hXMM0DwmkmKeAWUP/JhKEXxFHuJtbtnlL+TIMG7tLY5r31lDCy4qxmjjbz+8Z31CispNqM/ckYAT3PZ3a5QCU0RV0opSOIMcw7jkpRst7Mj6Y/Yq5niWTM0Y8bwWQJq9PHylPdYkTSBuOgNVQ9MYy83zi94QTkPPtRFsdqkm+B8doGmn09+TaCXH3z8mZcbfo27CUjudaK4M3oSGETbf1RTkB0ahDVLSGNy3Mm2qjXMIpuclXP8STh9ulA5f05NeMfzOQOmMgaW4ELW5F0Mqa5RZIHkWGrpfOXjF2A6X0Z4Y6Xejb+mn3Ed8TwUjWTEgyVvA3/x/KDlNWeYlD/KR3CFscxxAFD+U+chRDrKmsqENVrrnByLlQu8HuLf4wAnOw/HEPhgD0oYmqhEeaHlRKHu3mElGHvU+ILkf1OKuLzai4spUMEYXd/JlDdJ2aO05Xfc8+najC9A+LwGVqgdC7zeODQkGA0yo5oyZtEDv7rQ01UUKO3vcmHLBJwCfEfEgmyIWMsVlELrieCgt1X5A9mIZ8dEs8MjLNIZGlr7ObvMjREftqQoAk3ZoCzzsAtZKechSrFCifsEK3i+fGgcVDZg7XrbUq6fQvsg+QKxMcBYIiAp7g43V0yCshwbIjiPdlDTyTTMO2ZQG+6ajAKwvt2bOaOPuzBO6ZkMKRyDGiRBUPLLIHCIFulzp3gyY0U7p8LrFa0JJvzUtvmQVskMxoacdLDUol9fMze1NJxCGu9zV2es2PErdfluBCsQf1MEr4OZykuKMeZLgzqaR4hn1r++DsDaBLeDatjpdbAtvpTiHsZWPMY8M4nKxl+Uj+sVJQI1SCS+xPqIxldeCmpGHgFUxdpGryjvTGcIvMR8aQ6S+xlOdh6OIRR9JE56hwWQofncIK7RKuLkQSy4FZqpCQ3cG4NwMcGD8/K6YmXSWqCJjF78Ln7LlSFJEWp2FeJ3SQ+ccQuY7E0Vy5FFNHxp0yEN9GxUToIUHZ+HGUjE8EngJnRM4B0XkMJhDK8C+y39qqwITtFnqD2fGUuO8xt2Htp5IShDEQsWHSpkeEvako9zovxZQDwAvHJnCtZaGA2q1lqjk8UbwEl+8waWxB/HEXVrweKOx0OsXjZAlGXs1WSLtHxtYsjPlWg+zh2e1DksvFOGzzyRZvZKbOinqoplj8EPAu/ccHY4ww5jaAM3PrFtS+hZEGV22DVJjGlV1lP8GAgvWH6JOzemaMyANMYQL3jOOYMH08MyCl9ZjqtA16fEDoul+bhBz/PFfRjysuLkQLyEAxvXkhyn9UEHdwWe+yqs0tqHDeLIEIXoBeXFVwLzDmHc8onLcIrsM2OI15GeaYx5iPhM8E76S/nFz/jQOzeeTg5Mn8CRQghbSngThDEoXt/GVk8ndDAOsihyAmQNcQJXFs4SLy6NLJjYuEGLsEESNfY2RtKBWv7ooWSR4gtE5M1zHiCUh+QHWr4EvMBvFdagoMjhQG0iohPwOMUxF1OJ9AeqsEpKCIR3Lg/Ox7/jwW+2wc+WpTu+yd9sYSVeqHbQECUOhI9N4Wek6EXgV3RGz6b5xMaQW6OxMoczli4LBD96wctP50t4/uaBrPCyuex4xcZx2W5QGMvOK5qxR8rw8iwaPkMX96iYKAswL5iEW7Sbv4QuzwK3x4wx6CrZhAKgTuA8YKNAOjDNb8zRzwnJfZPbnXr80i48fH6bIiMMys+ics7KuzGlXiWbYMydXbCIbvi+BjQfeXT9BAaNlbDeuD7hpPEFENF8LKiXlp8DCQNzMk3WVNufxM1/kYGA1lbOs99BSHDIFHBsA0TyHPWFa3/iJODVYetS0tmAnlOO09Twic+gBYNKMvJKgOfH8oS0t23lsGBRSEbGcYET4+EYQurwD84TJn48UV0oRfwxMS6cqKJsW0ntSvFQI6JYuMUKe1pA8FpgC54t6Mto0oNIW/B1xJ4jL+CE9sM6qVOykP8SY2qUw5DflTcmVCAVZpG0+FBbuXeYZx7GEGHSUEPcjvyFU8IqowszvFA4vMTYSLUxNhjZgoLTXrkzBQDttiVAi2LoH5/WvhD1aaE+5OOENoxh7z2F5kvT3IuawhkUlFQ/ld27T5Qxbk0xfAAAV89u+WLWQtSXqhGZUCKCB9cdIKXaCw7xE9sDgA0ofGNWVIXYE8vklsvklWeOHoLywm+84vh5/QjP6DcoXBynG6cBR1DqqTz1fGJZE8lCCOPb8LlGDbjAfyYk1fMuOJuY9iIqYBIPgGV1XAd/LgyoLKRjEa1LSNH1PANro4h3S9ojjLOm4bBB0vRTmA80NI62raupCWSCgSop7iaQjRMDDX5LXMAdeJCMKNxuURuxNqV0cFMhpwFjszQsiLQRbgc0b7Hc484cXg4gdgzg629Dzwm8CDI4dW4gJWm1yxZo+ZgbNVSybQhy6N1g/mLG+how9xJOjIdjCEssdFtICf2w+KKJavS88aCn+UsdaHSShF0Fl4jsCr89Ga6co4YIVhQ4hZSSyXNHMa8+LW5TwjtZbOIGIMqspYJU8qBL4Fj2+RkvCutJKNFPeX4cZ65t3Uc7AsjTFbW7r5hAD72sWryHswWiEzccv54Wk8x5vWMWwoLKdwvcWPRhSwLPMg/ywlIKQWmJQ1dUsMqS2Y7DLuyksjplmOfhhlzzLgY8pyWaUpoUZoKh8rKjpWFAzU89nZRD3vf4JVbYsRzz8xz9EgUDgtFBibG2lOZM2/sGVShcvUt5pWGXtLIuHp8btABN2w4qfpd+mGM41h2x3v7qc00yBCP+HO+QHucalbptI24kuvk6qOLzKFh2OCUP81JEWOVTKZCYUO5CBjxH8VrHi5L1uRWsUr/SAmF9L4XoDAc2AiAO422ysDGCeMUyQ7pxLZZeOE8se3OHnA0gXQIgKf+o44vKMam842dZ87GF8jgeRHpxfbqEtt4vcGI8HEMgYUtKHmkM+m1ei7zqKCP3+kszh+O9uTdVaasHpgXe3MFDLDCJEibwjIWt83Bcbq8cFGyHpADFQiyKEYVYWa4ZMnGRAkXRykhxZ4jgcpIhwpuX15ksKFZ4lIwTt+jWcZ9HCxn72zCmiLGK85tWaHqFiytxyAjjNAUDGMfwJps26V3ndMB7dOOY4QQNP8eQESDRK2RPvZVHIR95IvmC3gEsyHV1/cxve6FldaXMzSer5A/lgic2uZNkJCUx/GLFmqRxXbHQK4KNAW9oQzxPMA/U+IyVPeqtDdiI0gIQdsEgjHc83jQnUqrzDZs7zhNOykNeboX81reRJIMJbcc789Y6vnSegyHC6VSVgaUNBp0jxMeRdEiXK42Ez4iJ+GXUB0QEszHq5V9o2/BNGYrXlZQ+8MrzEPwCm0T+t4lRW5N1JoxFyfnmDTIT6mgFfiRmc5dccLbuHM4JTync5FUif2rnJWWkFF/QwQwDvq6X8nm/wYnxcAyhZHxJC65tvZNYAcVpAIL3FdxglwX5T3zs6YAjIS5Sgs5fTQpuIXM3SoSY1UiBRzLMLVZf8+RlePTirnsZbU27auSEWrPYUyXdgGkOpjoc3HDD+Z13zfFeKBAsUGXJukpj3hFdSQmTDtNJIC2G4cyCELPv6mHi+hjcdy2e2DBRVkOIR1aonyyctR2Y4mvupHEBWMlsoAK+ha4D74OaLRjSTlLEVksvnisWJsMqXR4bGWj8OCXL5ZFwS2i+5o2XFDKGzCF6wxSapxqvBv3YoLh65RfoeGjGoljNlv9gIEgOEQ0kxdYI+EXesdIHdD6Q4gZ5xZkylqKDlfh4jsq37dUopw/1MobwR2SHDb/GtLcpMdnh51qGXwd+p8L3JV05tBu5cN+ruJWXWNn2Y9I0zo8KzcMg09kNW67OQPve1QWvG4GspGyWrX3c8cV3eDUDECugfH6EnSXhKlRfZ7wjhQ0LauSFL1k33FDjFY3zovGA8ylX0BJnEFpwGR4HP/WrnyN8ttWJ8mnLzbuevCzyKXCm8ume6lrKGXDS3ZYYMI+53dX7EU6Mh2MI2kDj3iLuvQ4HzPAiEnA5wV8xgepiRamCIjDmdBTOF8ReYe1wHK5DZYIH3OdGHq3I88kVa4FFLJxFA0uogMt39ewWnNochUOLpBwSLmTxleLfpUU0rKKhvPX5cQiLFLvq+KQ4hTYKTNBfCG3q2l3kE/FrsaZrcVpUrOUPPbf1kowUkr9gkQq8p/M7hTV6h3kiK2xoD6l/GwS0AXGfx95DcfVU+cWL4le/8VJU/q2vOwc7GyPVK+/rk1uRlPRU03OFyCuLSIlPIhANe5nXnKIS36SEYq2Rws/lYUmYCla2aSy59TjwzT5eGQ1CKVKMUx51otQL6dhwcYDPhfB6uEPDUp+4kCFpd4eLB35vPseF+SN1MaEcyc7HvZGnAnZYcBmqfRnYhS3hdsHnuSSPMf++ETYm9DBF2gB4R0AyhvhZBCzXHR3nuPHy1BlkqD2MCefTPEGIHkEeQfHrcC5Evl7XfzzRhnpVktxjJLTrazHw71KxadTmidtfPm+gK+Au7crZLTi3MyH5UuHcXNfCc3fprIe2AuoOOsP7gV/+bMxfQHNs4MR4OIbgzjykttSs8Ew9koZ4a5yyQ65qVUxqryhwGgZinCg9LLDhPbn9wntQ2sUeKb/gBVzI4L0kdVj4iFGkKG8hbhJNcO7twMoiUGPF80CbBdwhdKlekWQVAGOskCIVBCqN9cd8RXqQKda7UQXAG4/4wLAEpDpOeSOGj0CCL20GtxtaWP3440uh4L3CY8zKBg+hF/GAtR0/hH074F+HhHjgAC18qA7q1ZwIZosafvH3X4h4NOxvh4HXfTyk4psbqRpdaYEu8SQGJY73jS1EUAZRmBPXV9mCTq9z1cFCG2pVYlCJfIUHR49/S8DwvADwwqsH8Mz121Q2ofxxeGc7jvxvKNeELfED08bLbXFXopbDexqc1ABK7fZRpqNsYn6s1AMayw6cYa7etsR4jhRyVy8kex0u11aUL9qm2Nh1CnL7mozDcACcjc0Us9prLHLaTvHKOW44wVnn2rYyjeebNymqVmzIIabD7VO0PKaDDXBfXJKhmB6W/y2zjudo1xwEo5IBT3vzI2cBoB3TLI98XTOrV1tnapyENF6aqR8E+JkHnNEvFxkc3AA8CVs6gSMF/IXpqp3hkdD3Ck1skUeLAdC8VEDSlZkYAQIQASwtRFgRYN5Hy8oZ0L/z4JSIJg8VSoQXxhf3xGJh2/yGrXfPMwQF2fHMBQ7Jj4wGLFAlvr7s2hn48ofPRuWAsunr7HeBGDhPnPtSK5dBlD9LymG+6nbRdWEMrROM4hL4CoceE4sBWhzVUA/Ek3XPiGCoIyuDFOLsgWYlzc8LtOC57zxgI1bS9bDHzimzno4w4QyEW6UwcOMrWuQRVMKB0Khe2EBAOPGv9o6zTkdKwC8ZT+RvQ+vj8tDdnJQSgRQ8oSGIjHPj1dD6hPNC8S1zKbsnyBV2YBoVxoqam+9+LrcZ58u6zWsJ3mieC95Tx6+FJpQuhN9YT9MZjtyAHBh0JsOGswgY3PiOmsGyX88PG8usYDJ8NZo88ZjXIPYKO3nOxpFx8guI/ArOs1jGO0HmFV2BtrRuBmNa4Rlkowgrz9iL73cegCL1Ty3vlTGwrGtx94z5Q7xM1OYOJkDbSuEdyXGOza/NiTqGurqxTMcFLodhNKjgobPNlcEuigJDTZR5us7QFNr3JecapHbQ+sm0A4Iu/bphTuionNx/cPKRuGMGTsEDYFutbNHwCrURLGum6HrchiqnS+yxMmzJSCjEEm6wVhTKgS+kHLSCgdwiwpRfh2vQKrpcqjuev/zhs+GQFaNLvgqN62IAbE0byYfyuOa2Qbluysfbz5gXDDhtMhrAAtEKN/wIgtsJWcVl3BiTiKbS3k0Sw28MYK+cU5qjtUlxYfoFRUjjdSZx0UTLZnkVJd3xN6gMzB1twIsODb0rAkPjo8GGHYcoTpoB7xKHS1ow40ridyHNhYQRhTVqj3AjDvB8LX53h/8qHi1RWcTTw9FFyyNfrH0+pGRH7QZpxTPmKzBk0YtGyab8+WdstHqjCLefIWmuPG5TXH8D9DrpRI9HwGUvwWFxWyEZb+S+DApQfJsRlo9crviwPESPOy+cLO1SL3x2LdTLkDEQDB50xqsQsCe7Btp+7pYl/P0Kh5+/cwUjsYV51wwD3j9dwVAl2AK0RoFsNAC0a7kJ/Zq7VtsZG1zM4meLK8/WWxfy5oZ8xRwEVWWIXMbGMe5X/i2R4GSJ5yM2TriDMaXML2vKO66k9e0ntFasFkXlmCrT1F3od6JiYTmhDJGInRXk9N2Gk52HYwZYyDplNim8LJ44bTkbeyGcAo+V08WydihQPpWMOPvQuke9jlyYYQHUvquMCdfSooxuMbMAwUvuksEZWKFeVOFHi6INsdFOaVnWliiNnnfTHErkSik2biKlV1U8kcKP3gacgqC3oV5BzlPE2LPIF75SpcwtujicUwJ/uFdS/r3Xh+Vvn73BB2HB9Ipn24iT0SDy9PlxoyjzOE1UsoRyuXXff8cinY3gcleHBhyy8h+Vx7/W+l2gMN4pggqa8TBdLD0dCSlpB8mTCKSjsiAbMkJFOB0kd0JdYyMvKPUJnGjecSUEMB1lAefD9onLpwgd6ZaqYNuFOmAvo8etPEv1kc8/6fPV3+6EjDCOQVK4wtyJ+Qs4YyMKkMLG+z01VNgUoAQJr2FtwE4Xorzy+cdkrrXWK7W+znWz6+IMDCd/3K4lrwv3tGPZE+ZvN8WOrzdC9YNhZigPZD1jSnBlGidR2B2Odz/wGgksjQBqf8yfMwqgpY8PXbvfq2e32p2A+GYtr7+jcoGvQCN9ToHqO26c4u8sYXBnEGzrWMJ4vVLfMorXB365BQZPR5Ahr3cyQwF8g5qG34FLe+7mQRLn/QQnxsOxA6p46VuL1AvoFBI3xb1AZcIS7zzMFsvgvShQKgBkQ4Z7lbBQM0gQhPo0CaRcywM2PJzXDO8IRHTbenqvIaozPfPgyfgF17UDvqUDGyIY/AJrsELsFlEeo8z4hFAfrzgwZcwvMqwvuMA25Dmv9EbtZp33K94Sx8oH5QEtLD4vpYwX38bgq8OCyVmwAKc2RxBCoVA7kP7BTDQ5eZo0bCU9lyuGIQ6bKadsvvHF3b3l7a4qUxGEXH684YUP5XCL73M39uGVO4ekIqFeVAm2NLEfMIXIL6wQezh5NinkziVyBQj831QxtI4k8k5iunh8+pLCnCnyGDNF3JWPzkTxueLopBQG5Z3WPf5qUiuMJ6Ro+XKWXruM5Ss+X4YPGHPgoWhhTRHWHE9WHgRckXZ4vQywfJ0IMj6MsdC/7kOeFjcaYPnF5HLLV90ONtu2kQF6ux6uC2EU15WP06iuXMi7dYYZmoI8t0BDEpv+wnSM36EYDuhOhXguDOiaQq7JBirPrLWwMRrAoDL+ymAuL9042t0Y+ao5xw2h2ZKsAd0iyHDxj8x6/iCMSReaPTDxLVoYXDsEYzcehOJ6E+UKbx0ub4zYkLasg5ECwMYPRor0FQ0cnZ9Et1fe73BiPBwz4Baztv7RhSV4MJs/qSfA427zOpSL1rNBbuvQ+JJ4SCiQ7sWgMrBY1tQoaAUW9wThujmB5bzYkbBm3ikRhDR8S4cxpvluBDIkHJ2lpVux3IuFPUkgCFaclyvimiJlTLtFzxRCqT5RnLyAi/d9MB6ZEojGm7gIGGSstGPNvedgoBE6YeEKGYOCgm5KMbSOJFQPjWG8EGEPN6fNmwLn4/HoTvngOx0pI8ApyKvEsIa5GUIvZOM48LVYUmXWQcU7SiVKfgIIFXBygo8ft3vEvY0O+K1EmvJc8pYr2UQ+REKtlI4OxBtsZAWtTSTPFiy86doZcrg9UtpseO86W1LGAPBlBoo8iVhAOxU2fGHZ2mB8GmPIObrAj/W/xgTETvZWzBJ0Hl8nCziHotKG5rk4HgQZjY2gIHsaqC3AcFCJ17LiEC3OTxSXn1BAozq4+iEDQQKKPr54wNfHul33UM6vje1a5HblB1UV30hI6hWM2FRdwg58/FV3ybpxcy7MC2Gtd0Wtc+rg75Sw9Z0v8BDa4U3Xzvhb5dzY53OgMjR80PclG8tEBgFNw1BjjyYAPHHlFDz50GnCq2Rw40tZsMEqO1X1SwKOAzzwxsPP/MzPwDd/8zfDuXPnYHt7G97xjnfAP/kn/wTqXFzGfQqNkhQmXGWM9+Rz2YcFKo51dcIXg58QKG2+qFF+pNgLgp7OfUnhlycJDmEBVIegzKI05rewqDzXkZzBEwlnoJOfbtWHA8PSx3jwAuNvMPHo+cIUFlrtA1YcvKfGKayo3j62nWj1FGpoyqWXO4W2owPBe+/IOT54HDG5x923qeJdFpXfsPDTRR688RXxacN1iyR+ueXBGRFFRnUizStvXuEKKxpnK/IydVwUvvYpfPd4iC/GCiQ25NwzMVKs9WnEuDPyoXfMbxaEtozmdsYw8de4ciMFzzFfVzQnDW3fcMYLh+4gAxAZMByXx9Mi9cWcPMu1BVaeleyRgmwBTm2No3mJbCjQDrPyvE7eR+NP+8MED3WQ3UHBdfVwYSCpLuTgwjt5XYOzBPMBfqITZ5ANMfsGYk+u47Mi/Rve+RvhLK2X223BX5jGh3NJUxnj5xqPyzcmxPP7/OgBX77RVwl0a7Mfiiac16Af6qRrtwvXdTsP8QH6oMS68S3YAGAM/cYHPsDsfx0PpHFCU1AHTHjvQqGdwu6u/3bZK2OgxsgiXGGOnt0eN+tye87Dncd0UBkDyyU2EOJ2xqyLcgFoOzS/YY07szUmeHnEA7ncAy/T1A4hfLh34s1N9zk80MbD+9//fviTf/JPwsbGBnzoQx+C3/zN34Rv/uZvhu/4ju+AP/2n/zQsFot7zWJ3MOjjJFjBZcILbx0HhYt6MZo0XwJ8WEz7ZtbGUnO3q3aDRKCN2WUSC/MHAIOqorGbSCDj7ylQBS0ItlCe8QAWCcigkJH5bdGZB48zKPw4dh97gGsbFilyngThjpQkBFhARrsmWKkQjA71tiXEO20qtvDRRhJxOIUDh/6c2R7DckkVLsyYbxvhY1MuOxtG/iFa1JBhwE0hfNOM6OkzTU+ndh5EJc7x0r5048Gdc6Fdwem5x6Bc1hZtdQvKNf6LKmHWK/z4pifJIMEeY86DRIfXX0qTICg2TnZQ7yE/h6MpoU5R8jglo5oZx8EY1xmN6KF5DRBkgYZCTEMvf+UPrxPvNubdjWs+3/G884qgG69xFRCvVLFrcIZJ7WWT4fPJySHq0a7aOenGlGkZ9n2B5xNuBzSnuYLo6sd3Y8P1zlQx8k4JiGPj/bwzTagRV+CxIojlSqg/nZu1tf6GKX4rm+sL7vV3z4YwzedRaKsUiK6bSM4a/4v7GT/jtcUlOrkCEEKzhoMqUjzxfMX108A5zNzYCH0Y+PNjEsLZESzTydqD5TkeR0g2LOt2h5o4AWg7YHnh62zbsNclDav1obAQ1g+pq7DCTy+eidvE1csBX4+4Awvn4e3AcfF37nzpcYIH1nj4hV/4Bfg7f+fvwJd/+ZfDT/zET8BXfdVXwZNPPgnvf//74b3vfS/8p//0n+D973//vWazF4i3LTHw49RNQnw4iSzQdJLg8b1YWiKwHD4JJLkbeWSFcoMKx6ciPIZ7fSxVzsEJPWh3kfAkDiuYFGcpbWE2Xq8qeH2wYQHBqHGLTyQ4WqUKKxMWrZTaklMjQUe/H4CVUmT4OEUSJbp2lrdRG7h0elPhgIJXmpkSeOnUJswWNVL+GqaCMhkWZM0jKS1f2tWubiHnnp3AXxyS43Dpux/xyxACxW5b8vSccoXopLS/trxThGhlUf+iJC3MixutlmXSwuYw8NtYUguYxAMG7zVM5KnbeUTLOTppDzvPz89GuTRrg4IKgIxcpHy4VI0cVwQ8bW2+kjYK3urAszS2GsC7o7mx48th2Y7Hild+wyjFhhz+BYt2UYEqNkGO4NA4ZS2xtA8BqOwMDhj6xWcZl8Ud7OfteFjBfFGLoVDxRxrph+34QWu8c1zj0cAcKc5ZBtCEvFDZZonCnZwXCRkvXXTA69fscATaODSHYfN1d0bhsKrEnftQD/y3oxlou7/djK29Qdaut6wrvREAXnPw6wU2ePw6CKG/8PpkbTsvIl5ceX5A26A+DzdN4XYmty2htRvjXdoQVhsZPthQcPWBMGZ4/0q7b66NXB34uxga/CfGw30E3//93w8AAN/xHd8Bo9GIpP2tv/W3AADgh3/4h+Hg4PicbgcIMa8A8bYZBu6Vwgd4/VYpmzD478q0d5O35f2d9IocxIu8qKBAUMLw5Koqg+K1eRwjEqAMJ1bm8c5DwBR7YLjygg0L5wnBMe5YyGCF2vp3ARc9YI29bMbvSgTew3NdMzqIHm/AoAAAzQ+W5Ak8BySjQQVf8eg5n0basX3p620MMUwtNHHEs+XSt7th9XEol9bKijtQzxO5gUIyNkAxNiwgHpBwBnQTla67+HqSgi4J/W0hhAV5w842/2O+ogUZ0OLG+1VhiSgtEPKSMzNOSVQUmprxhd151mnbcVL8jrVc9DFIPubal64UngfqIWLHF+D2K9CqGR+idxhAlD9YuUQFyumh7KKMQ4m8bWj4jE7DjzPN0LbUoMrxWQO0DpGYdxf+gQ3t6HpjpNjhsCu3U+Hy+1BOi9cZWalaYuPSWn/+aTioYDpfRrLD3ziGFD3X9U5Wufnh8vurWkl8PTvPZYKi65VkQ5XFuG3jt1iOpfpF63byjSIbvhHDw3lxnY0JtwwOKgMLJQTbyWW3O0jT6NoFvu/pd2qkHV4sJ114MFekLQRZ6NC7c4KO5nAg76YGA9USY9KtwS5sCdMbGOOvPJccWG4OuAPXzigJ9aLyaGkBhmj8eAYgzDHnvGTJHifXSaQR4sbwfJkaPfcnPJDGw4svvgg///M/DwAA3/RN3xSlP/XUU/Dwww/DrVu34IMf/OBd5m41cMolQBwviYF43K0TIE4QxN5eLvBHg6q9bSn2tKYWQI2HOKyq+W28D5bQwbGb0mEwL0gh3Okd1cd7b1qeBf4WtYXBoJkCThBbi5RGgqtVKAHvPHCe+BkLS4SUA771OSBKHKuPF9jyQTHCu1RRrDRiHiSPSZvdxZZihWs4MO3OA1owMXo3xmobeQ8lwIoQz+29htHCEvpF6nO3SmkHSt2b4UBJs7RvnFIRhS0pct6V5GFfOeDNZdpJ7sYiYZCUCwXV0IUiDtIgViNSno3ng/c/Nt69YaHg1nRyjMsrRe076dBiagh6JUzhQXvnXpJrLf07mV+RP2IACvIVnHEU43SKHR8P+CwI7oshEVLBEPY7B3iuMDnk+QOIbvXBzhVXzM99x4IwT6JzDa3MbNab2tPjX3F35bwCiZwL5Hxaa4jUtfVXtWLFOJLHSDF2bPG6ahCNTcZ3CeB+btgJhlkwfOjOrjFBxriwJU3U0GgDQe4JE5CvM7GcDeNtuaxhMDCRou/rBu18BLqmuF0TvCsmAe7nsC6ZqM5YV3DjgRr5YU0JBgz4X94MdasbkDUIrTmOXsnhawDdmAYAGA0MzJfN2np+d6K0xP0HD6Tx8Gu/9mtQ1zWMRiN44oknxDxvetObAADgV3/1V+8ma6uDCYItd9sSFq6DinpvsBUNgA4At3+PhhXMl7UXtlSJEdhCz1uTsm8PGtMaD0t6MDvgxGce6MEtt605qCp/KxTGC4DKsTTXDstl7RfXZV2Tjws5wUAUFIs8d1xBtbEw09oHgxa7T3k2KD+QfgrePPRhpDZPF8UxeLaEUDVojMn5IsSZcqUHe+CkQ52cFq4Q5tNVVYpXbrLT8zHkkCDE3rLIJ2cMCavBtP0BcGQ04BumsBKSBOOU6LheGE5vjZu6RppuM+7DNyZQyItBi2mL9Bvf8pBf5JxSEejK86IvYOXdAX52MecSuDZN4S7mE883nt/SeufolQAJr3MKqGDAchngHBxxWvhjsay9QUv0WokH7lxASpFTwrAy7xV1E2LVwbYyvc2futa4JeGdSQ6WTN7ZlvcK4vmB/17WdHw4nkfDCqaLpU9beuUSwJ2HGA4qt/lHZBWGsPMgyCjRERDkluuT0aCKwkjWPZ5cfheChsd+48CJnScArn+d8tt476V8El8Se8LUSed38qhNXNSN4RddW0rqGOrq8tTWwmBABQmXVVipD6FPTR8u3PkYJ/fQTg2eA1jncUYHP5QvmS6OV36mDHFLQt1yQA0ZSnnox5uBdz5xCR45v12E817DA2k8fOYznwEAgIsXL0JVyVW8evUqySvBdDqFW7dukf8Bmhj7e/H/9VvNXe770+aLya/uTcHaJrxoOl8S3g9nC1gsa1gurd8OPpwtYDKq4NX9WYvTelwv325wz+ZLmC6WUBkDe4dzsBZgOl/CuZ0NuH04h9l86d+Rtlos/eKyOR7AcGBgb7qARV3DsuXPGID5sskzXy79zsb+dOF5NtDUx+Haa78OPfV0Fz7N1etgugBjmr+n8+bbFI7ebFH7nYJZe3uU42G6WHqBs3e4INfGLpYW6rrx0Lm6um8fzBZLmM0bT8GkvYJx2S7ei7qhYwBgb9rUZ7aoVU+Wq6trU8czAMCirputWGu9p8W10WJZN6EqbblBVXkjbFm3aWD9IbL96Rzqth2WHmftJZrD5c41zNtvfCxr6wWp48+Vr60l+arKwGHb/q7NQ7sBHMwWXuA3Qt+GjwBa2xiBALA/XXjeTcubr5u1YNpyBqw35NwvoLTaWpixcdrUReoJ6+tqbTDkGrptG7Xtysu5dp0Mq2YsWwuLZR2MUADEn+MD4I1XTsHZ7XG0O+d9rzYYhy5tsViinRO0cC6beba7OYJX92c+zYAlY8XVz/Fggb8L44EfGqQHOK1XoGvU3s2h+masYMWsrq0Pg3QQeHJ1DO8cPfxtA1Rlki/QiU2aMIbDe6kdXD3IO4RzuaR1R6wQ5djV1dWLnJ3yaU3ibNHMv+mihhG6cjOuSwBjaHy0MxpmiyVMhpWfA9Y2+YIiGPpzsayRk8CimkBb15rIh2Vdw2hQweFs6Xl2c9PxABDmuTvfUaM2nS1qryQ159RsG2bS5Bk6+VKBXy92Nkdw52DWrBuLGgatAno4W7RyuPbyYtgqj27ezRduvanbsdrITscnQIPTOchmiyDbhoNmHk/xWofk5qKuYVnXrYxq6j5fLqG2Fg6mCy+/Q1s1/9e1pWkAcDBb+vZz75bLGgw064zrq+l8CdDK/7qVL7NF4/yazQNO164Ol1u7Zm1dD2cLP7Zmi1CHxWIZ2hbCunk4X8LhvEnD9TEtn/vTOQwqAwfTBQzaPnE8uLHp+utgtvBzYDpvDMWDtk/2D+fNutzWtRkzTZhsk1Z7/irTtJsbF05fudPqCrcPZrBYNrLo1f1p285NvfYP536c3DmYNbTbddrpTC7/oDJwMFv6v+etHG3q0+gdVat3uJApPGacPuDfLehaNFs0/TEYGNifzsEYgJt7U9gYDe6ZjtnlFtIyF/ExA6fkb27qh0S3trYAAODVV19V87zvfe+DH/iBH4jev/jii3B4eLgil92grmv4T7/+BfiWt16CO9MFfOvbrsB8WcP/9JYLMFtYuH24gHe8bheev3kIH/39l+D8VgWPnDkDk2EFN/bn8I5HduGlO1P42ifOwPOvHsK57RFUxsALt6bwl772EXjh1UP4qtftwp1pM2keO3cB7hwu4W3XduClOzP4ykd24XC+hPnStu+m8M7HHoFf/vQr8Jnre/C6s2OwZ0ZwdmsMz948gP/h8TNwZ7qAdz1xBsaDhoeHzmzAl24cwLWzm/D8q1PY3RhCdXULbuzN4e0PNziffMsluHW4gNObQ3jy4ga8fGcG3/q2KzBb1PCOR3bh1YNGWH3FQ9vw0p0pXDt7Gr504wDe/vAl2JstwICB15+/CrcP53Dt7CY8e/MQLp+awKAycGGrgkunJk3+R05BZQDObo/gSy9vwGMXtuCx81vw0p0ZPHVlB85vGbi4O4EnLkzg5TszePziFjx9agQPndmAmwdzsNbC5VMb8NDpETx1ZQd+//k78Lrzm7A/XcLNU0O4dnYTPvviEN5y7RT87rO3YXdjCD/x68/C//imC/DQ6Q349PU9eGVvBm+6ugPjoYHdh7bg+VenpI1u7s9hazyArckAPn965NO+8pFdWNYWJqNNOLUxhFNjC1fPbMCzNw/hdec3YW+6hNpuwunNETy9O4LxsIJlXcPVq7tw+84ePHJuE66d3YSnT43g8Ytb8Mz1W/BnvuohAAB44dYUHruw5dNeuDWF89tjGA2b9nv43CY8c3oEj57fgv3ZAvamS7i4O4HPoXZ44+UdeOVO61WHGl5/cQuund2EF2/P4KEzG1BbC687O4Jz22N46NQInryyA1d2B3B2ewST4QDObRp49MIWfPb6Pjx+sRkfk1EFk2EFD59u8u+OoaFzbgy1tXBhZwK744vw1JUdOD0BePzidmO8Li381jMAb7l2Cv7I67bh3CbA6y9uwI1bp2FRW3jLlQ2A5SV48soOnNkwcOX0BoyHBs5uXPJ1fctDm3B6fBHObI/AgIGHT4/gJ379WfjmNzflXj7bGACXTk3g8u4QvuzqJpj6Ajx6fgsO50uo7Tac3RrD7vgi3NibweZoAF9+bQumixqunRnBExc3wdSX4C1XN2BSXYGHz27Cot6Ax86N4eLuBJ4+NYK3PrQJp8aX4Nz2GMbDCs5tXIEnr7hym3B+8zwMjIFTmyN49NwYHr+wBafGAE9c2oaXbo/AAsDlU00bvfXqBgzsZXjy0gQe2q3g5v4WvP5i0w5vuboBY3MFLp+e+Lo+htK2BpfgzKQGM5zAExc34MrpZg688fIOvO7MCIYDA1vjIXzu5X147MIWXDs9gi+/sgGnxmehMgYu7IzhzMYleOPlbTg9uQRPXZ7AQ7tn4MXbU3j84rbnb2yuwGPnN+D150fwpkub8LoLgYfNwWU4szWCzfEAzm9ehScuN+3w5qsbcHp8Ec7vjmFYGdgaXPZ9+OYrG3Bh8xwMB83HrRydqr4MT12ewNWds3D7cAGPtnTeenUDRnAZrp3dhIdPPwTzZQ2vO7cFu+NL8NaHNmF7eAWunN4AAICruwN4/aV2HF3ehmunB3B6cwSTYQWnJxfhzQ81/L3x8ja8crbpi92NITzzUjO+Hz4z8uN1WYex8tarGzC0l+GJi2N4+NRpuHO4DWe2R814uLoBm9VVeOjsBizrZj5dO7sJ57YqePLyDjx0agjbkwGc2hjBzugKPH5hC3bHAI+e34LbhwvYGFWwPRnC7hjgrQ9twsBegi+7PIFL22dhOq/hzNYIPnd6BI9d2IJnTo/gDZe24fqtKezPlnDt7CY8dHoET14YwZ96+xW45OXrJXj9xS3YGQE8fnELXrq9Ced3xrCsLVzdHcIbLm/D5Z0BvOHSFlzaWMLO1gac3hrD2Q0DT1za9vNvWVuYn5/A1bMb8IfPD+Hhc5vwurNjP5+u35rCxd0JPHvzEC7sjOHG/gweOrMJi7qGy7sDeOjMBjz9YiO/vnRjDNfObgJc24JnXtpvZeihl+M7kyG8+eoWPP/qoa/ro+ebv5e19evm4xe34ZnTI3jd+U24c9gYUed3xvDM7giund2A5189hGtnN+FwvoSX78zh8qkJPHvzAB6/uA1fPDuGy6cnsFhuwAu3gox/6Mwm3NifwcZwABvXtj0PT59q2v2VvRmMBhV8+dVmvXzz1atw+3ABb766DaOhgYdODeHK6Q145qUxXDu7Ac/dPISLpyZgrYVXTg3hzNYIXro9hWtnN+GFW1PYngxgZzKEx86N4czWCL50o+HvuZsT2BoPPJ2mzjM4vzOG24dzADDwpssX/Dro2ujm/hxuHy7g8qOn4NmbB3Dt7Kn/f3t3HhVlvf8B/M0As8gyArKKgugFlOuCSGnd1Ey9ipmlVpp2cwkzl1umpl3r2CJm3cprZZk3MU3Se9RscysVU6zrmrmDsmjIoJTIosgy8/n94Z35zTDP4CgIiu/XOXOOfpfn+/0+83F8PjPPgryLV+Dj4Q43lQoRfmq4urj87//pq/8XB+k1MAlQUFyO4P/th5jgYJSWVyGupTe8dW42cwhpqoWh6Ao6t/SGxl2F0itGdAr1REFJOaL8vOGuVqPSCEQFBOCP0gp0j/JDZXk57mqlh6fWDUWXKzE4LgQlVyrxUOzVcUKbegG4+uWedd2l8irom3kg949ShPlq0LmFF7J/v4SjZ0sQ7OWGJmpXRAZoUXipEoNirx5jxLbwwqXyKjRt4o42/ztWMM89vFkT/FFagfIqI2JDPfFbYRky8ksRGegJnfrqv7/LFUZEtg/E76XliA68Ooc2/nqcP3++Xo8vzUpKSpxu6yLXe6XabWDu3LmYNWsWWrdujVOnTim2GT9+PD755BP07dsXmzdvVmxTXl6O8vJyy9+Li4vRokULFBYWwtu75keT1zWTyYSCgoIaf00hqgljiGqLMUS1xRii2mIM3RzFxcXw8fFBUVHRNY9xG+UvD+ZF13QnpcuXLwMA9Hq9wzYajQYajf0FLCqVqkEC1sXFpcHGpsaBMUS1xRii2mIMUW0xhure9ezLRrnXzRdJFxQUODyHy2Aw2LQlIiIiIqKaNcrkIS4uDiqVCpWVlQ4viD5x4gQAID4+vj6nRkRERER022qUyUNAQAB69OgBANi6datdfXp6OnJzc+Hl5YV+/frV9/SIiIiIiG5LjTJ5AIDZs2cDAD788ENUVVXZ1L377rsAgOnTp1vuukRERERERDVrtMlDjx49kJSUhKNHj+KRRx7BgQMHkJGRgZkzZ+Lf//43EhIS8NJLLzX0NImIiIiIbhuNNnkAgH/84x/YsGEDysrK0KtXL8TGxmLz5s1YsGABvvnmG7i5NcqbTRERERER3RSN/ui5f//+6N+/f0NPg4iIiIjotteof3kgIiIiIqK6w+SBiIiIiIicwuSBiIiIiIicwuSBiIiIiIicwuSBiIiIiIicwuSBiIiIiIicwuSBiIiIiIic0uif81CXRAQAUFxcXO9jm0wmlJSUQKvVQqVizkfXjzFEtcUYotpiDFFtMYZuDvOxrflYtyZMHq5DSUkJAKBFixYNPBMiIiIiorpVUlICvV5fYxsXcSbFIABXs928vDx4eXnBxcWlXscuLi5GixYt8Ntvv8Hb27tex6bGgTFEtcUYotpiDFFtMYZuDhFBSUkJQkJCrvmLDn95uA4qlQqhoaENOgdvb2/+Y6FaYQxRbTGGqLYYQ1RbjKG6d61fHMx4shgRERERETmFyQMRERERETmFycNtQqPRYPbs2dBoNA09FbpNMYaothhDVFuMIaotxlDD4wXTRERERETkFP7yQERERERETmHyQERERERETmHyQERERERETmHyQETUSE2ZMgUuLi4IDw9v6KkQEVEjweThNrBp0yb06dMHvr6+8PDwQOfOnfHhhx/CZDI19NSojpw5cwZvvPEG7r33Xvj4+MDd3R2BgYFISEjAmjVrauy7e/duPPzww/D394dOp0NMTAzmzJmD8vLyGvsZDAaMHz8eLVu2hEajQcuWLTF+/Hjk5eXV2K+8vBxJSUmIiYmBTqeDv78/Hn74Yezevfu61003z+7du/H+++873ZYxRGaXLl3Cm2++ifj4eDRt2hRNmjRBREQEBg0ahE8++USxD2OIzHJycjBlyhR06NABPj4+0Gq1aNOmDcaPH4/s7GyH/dLT0zFy5EgEBwdDq9WidevWmD59OoqKimocr6ioCC+++CLatGkDrVaL4OBgjBw5Eunp6TX2M5lMWLhwIeLi4uDh4QFfX1/06dMHmzZtuqF131GEbmnz5s0TAPLggw/Kvn37JD09XV588UUBIAMHDpTKysqGniLV0vbt28XNzU00Go28/PLLsnfvXjl58qSsXr1a/vSnPwkAGT58uBiNRru+KSkp4urqKl27dpUdO3bIqVOn5J133hE3NzeJj4+XkpISxTGPHj0qfn5+EhQUJGvWrJGsrCxZs2aNBAYGip+fnxw9elSxX0lJicTHx4ubm5u88847curUKdmxY4d07dpVXF1dJSUlpU73Dd2Y8vJyiYmJkZYtWwoACQsLc9iWMUTWMjIyJCwsTLp06SLr1q2TrKwsOX78uLz77rui0WikefPmdn0YQ2S2detW0el04u7uLnPnzpVDhw7J8ePHZeHCheLt7S2enp7y888/2/VLTU0VnU4nUVFRsmnTJsnKypLk5GTx9PSUiIgIycvLUxwvLy9PIiIixNPTU5KTkyUrK0s2bdokUVFRotPpJDU1VbFfZWWlDBw4UADIjBkzJD09Xfbu3SsDBgwQADJv3ry63C2NDpOHW9iOHTsEgLRr104qKips6hITEwWAzJkzp4FmR3Vl3bp1AkDef/99u7qzZ8+Kl5eXAJDFixfb1J06dUo0Go0EBARIYWGhTV1SUpIAkKefftpum5WVlRIdHS0AZNeuXTZ1aWlpAkDatm2rmJiOHTtWAEhSUpJNeWFhoQQEBIhGo5HMzExnl043yezZs6Vp06byxRdf1Jg8MIbIWmlpqYSHh0t8fLyUlZXZ1SclJUlsbKxNGWOIrHXo0EEAyKxZs+zqFi9eLACkQ4cONuWFhYXSrFkz0Wq1du9bSkqKAJDevXsrjte7d28BYJcwZmZmikajkWbNmsnFixft+r3xxhsCQBITE23KKyoqpF27dgJAdu7c6dSa70RMHm5hvXr1EgDy8ccf29WdOHFCAIi3t7dcvny5AWZHdWXdunXi6uoqRUVFivVPPPGE4ofnmDFjLN+aVHfx4kXRaDSiUqnk9OnTNnXLly8XAHL33Xcrjte1a1cBICtWrLApz8nJEZVKJRqNRvHDeObMmQ4PFKj+HDlyRNRqtXz66aeSmppaY/LAGCJrs2bNEgCyefNmp/swhsiaTqcTAPLdd9/Z1R0+fFgACAD5/fffLeWvv/66AJDHH3/cro/RaJSQkBABIGlpaTZ15i9YQ0JCFH+ZHzZsmOKXrJcuXbJ8KXf8+HG7fosWLaoxYSERXvNwiyooKMD27dsBAA888IBdfVRUFEJDQ1FcXIyNGzfW8+yoLg0YMAAXLlyAt7e3Yn1oaCgA4MKFC5Yyo9GIL7/8EoByfOj1esTHx8NkMtldM7F69WqH/QCgd+/eAID//Oc/NuVr166FyWRCXFwc9Hq9w35r166F0WhU3DbdXCaTCWPHjsVf/vIXjB07tsa2jCGyZjQakZycDI1Gg169ejndhzFE1jp27AgAOHbsmF2duczFxQVardZSXlMsqFQqSzxWjwVzv549e0Klsj+cdRRDmzZtQklJCUJCQhAdHe2wX2pqKgoKCpSWecdj8nCL2rdvH0wmE9zd3dG6dWvFNuag37t3b31OjeqYu7u7w8QBuHpBIQC0b9/eUpaRkYGLFy8CgOKHn3V59fgwX1B4s/oVFhbi1KlTyouhm2rBggU4dOgQFi9efM22jCGyduTIERgMBoSHh6O4uBgzZsxAu3bt4Ovri9atW2PUqFE4evSoTR/GEFX38ccfo3nz5pgzZw5Wr16NsrIyVFRU4IcffsALL7wAAOjRowc8PDwAXL043xxXNysWjh49irKyMqf7RUREQK1Ww2g04sCBA9de9B2IycMtKjMzEwDg7++vmFEDQHBwsE1banyqqqrwww8/AAAmTpxoKbd+z4OCghT7KsVHaWkpzp8/71S//Px8XL582W5MR/2syxmT9S87Oxsvv/wyXn/9dYdfOFhjDJG1Q4cOAQDKysoQFxeH48eP4+OPP8bOnTsxbdo0fPXVV4iLi8O3335r6cMYouo6deqE9PR0TJ8+HWPGjIGHhwd0Oh369u2Ls2fPomPHjkhOTra0z87Ottw58npiyPrv1+pnMpls7vJ0rX4uLi4IDAxUHJOucmvoCZCy4uJiAIBOp3PYpkmTJgBwzduY0e0rOTkZ+fn5ePbZZxEfH28pN8eHq6sr3N3dFfsqxYe5H+A4tsz9zH3Nf79WTLq6ukKj0aC8vJwx2QASExPRtm1bTJkyxan2jCGyZj4948yZM4iNjcVXX31l+eIqJiYG4eHhSEhIwMiRI5GZmYlmzZoxhshOYWEhRo0ahe+++w5Tp07Fo48+Co1Ggx07diA/Px9Tp06Fj4+Ppf31xEL19/NasVA9hpztV9OYdBV/eSC6RZ06dQrTpk1Dt27d8N577zX0dOgWtmTJEvz4449YsmQJXF1dG3o6dBuy/nZ/0qRJdr949+/fH5GRkSguLsayZcvqe3p0GxAR9OvXD9988w1mzpyJt99+G/Hx8ejQoQMmTZqEuLg4tG3bFuvXr2/oqVItMXm4RZnPgbc+T68684e90kVjdHszGAzo27cv2rRpg40bN9pcXAb8f3wYjUZUVlYqbkMpPqyvrXAUW9YHEUp9HfUzGo2WB0IxJuuPwWDAtGnT8OKLL1ouVnQGY4isWX8L265dO8U2cXFxAIA9e/YAYAyRrW3btlliY+rUqXb1jzzyCLy9vfHwww/jl19+AXB9sVD9/bxWLNxoDNU0Jl3F5OEWZT5nuaCgwOGTpM0X0jpzfjPdPvLy8vDAAw8gICAAW7duVfzwsn7P8/PzFbejFB+enp4ICAhwql9QUJDNz77m7TjqZ13OmKw/33//PS5evIj58+fD09PT5tW/f38AV09FsS4HGENky3x+OAD4+voqtvHy8gJw9dQUgDFEtvbv3w8ACAwMdBhD0dHRqKqqwqeffgoAaNWqFVxcXABcXwxZ//1a/VQqFcLDw53uJyI4d+6c4ph0FZOHW1RcXBxUKhUqKysdXrBz4sQJALA5F55ub6dPn0b37t0REBCALVu22Jwbai0yMtKSVJjjoDpH8XHXXXfd1H5NmzZFmzZtFNtQ3Rs8eDBOnjyJQ4cO4eDBgzYv83/QISEhNuUAY4hsxcbGWv5sPnCqzlxu/lxiDJESczKgxHw6XG5uLgDAw8MDMTExAG5eLMTExNgkoNfql5WVhYqKCqhUKnTu3NnhWu5kTB5uUQEBAejRowcAYOvWrXb16enpyM3NhZeXF/r161ff06Ob4OTJk7jvvvvQunVrbNy40fINMXD1TijW77OrqysGDx4MQDk+ioqKsHfvXqhUKgwZMsSm7tFHH3XYDwC2bNli085syJAhUKlU2L9/v+JFZOZ+gwcP5nn39cjLywtt2rRRfDVv3hwA4ObmZlMOMIbIVtu2bREZGQkA+PXXXxXbmO/Tf8899wBgDJEtc/zk5+c7vNA4PT0dgO2djmqKBZPJhG3bttm0q95v+/btimdoOIqhfv36wdPTE3l5eYoJhLlfz5494e/vr7iOO15DP6WOHNu+fbsAkJiYGKmsrLSpS0xMFADy+uuvN9DsqC4dOXJEgoKCZNCgQXLlyhW7evOTgq2dPHlS1Gq1BAQE2D1pNSkpSQDImDFj7LZVUVEhkZGRAkB27dplU7dr1y4BIFFRUXYxJyIyevRoASBz5861KS8sLJSAgABRq9Vy6tQpp9dNN9e1njDNGCJry5YtEwDSrl07u/du/fr1AkD8/PyksLDQUs4YIrNLly5JYGCgw2OTjRs3Wp4wbf0U8wsXLoifn59otVrJysqy6ZOSkiIApFevXopj3n///QJAvvjiC5vyzMxM0Wg0dvFq9tprrwkAGTdunE15RUWFtGvXTgDIjz/+6OzS7zhMHm5x5g/fBx98UPbv3y/p6ekyY8YMASAJCQmKH6x0ezl8+LA0a9ZMAEjHjh0lLi7O7mX+T7a65cuXi0qlkm7duklaWppkZmbKO++8I25ubhIXFyfFxcUOx/T19ZWgoCBZu3atZGdny9q1ayUoKEh8fX3l8OHDiv2Ki4slLi5O3Nzc5J133pHMzExJS0uTrl27ikqlkuXLl9fpvqEbc/78eTEYDLJ27VoBIKGhoWIwGMRgMEhJSYlNW8YQWTN/MTVw4EDZs2eP5OTkyPLly6VZs2bi7e0tqampdn0YQ2S2ZcsW8fDwEDc3N3njjTfk+PHjkpWVJZ9++qn4+fkJAJk8ebJdv61bt4pWq5WoqCjZvHmzZGVlSXJysnh6ekp4eLicPXtWcbyzZ89KeHi4eHp6SnJysmRlZcnmzZslKipKtFqtbN26VbFfZWWlJCQkCACZOXOmZGRkyL59+2TAgAECQJKSkup0vzQ2TB5uAxs2bJAHHnhA9Hq9NGnSRDp16iQLFiyQqqqqhp4a1YH58+dbvo251kvJzz//LA899JD4+fmJRqOR6Ohoee2116SsrKzGcXNzcyUxMVFCQ0NFrVZLaGioJCYmSm5ubo39ysrK5PXXX5fo6GjRaDTi6+srAwcOlJ9++umG9wHVrbCwMIcxNHv2bLv2jCGytmrVKunZs6fo9XpRq9XSqlUrefbZZ+2+FbbGGCKzU6dOycSJEyUyMlK0Wq24u7tLSEiIPPzww7J+/XqH/Y4fPy7Dhw+XwMBAS9y98MILir8cWCssLJSpU6dKRESEqNVqCQwMlOHDh8uxY8dq7FdVVSXvv/++dOrUSZo0aSJ6vV4eeOCBGudIV7mIiNT1qVBERERERNT48IJpIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIiIiIiJyCpMHIqI6NGfOHLi4uFhen332WYPM48qVKzbzCA8Pr5Ptvvrqq7fE+oiIqGEweSCiO8aFCxfw6quvIj4+Hnq9Hmq1GsHBwejcuTOefPJJfPLJJzhx4kStxpgyZQoMBgMee+yxOpr1jdFqtTAYDNizZ0+dbnfatGnXXF9SUhJ8fX2xbdu2Oh27LuXk5NgkQdav7du327StnjDVdULmrC1btsDX1xdvvvlmvY5LRGSNyQMR3RGOHTuGmJgYvPfeexg4cCC2bNmCzMxMbNu2Dc8//zz27duH8ePHY+jQobUax8PDA0FBQdDpdHU08xsXFBQEf3//Ot2mp6fnNdf3xRdfoLCwEF9++WWdjl2XWrRoYZdc7dmzBwaDAffcc49NW3PCNHXqVABAt27dYDAYsHfv3nqd87p161BYWIiUlJR6HZeIyJpbQ0+AiKg+JCYmIj8/H6tWrcLjjz9uU9e2bVv07dsXsbGxDTS7xmX69OlYtGgRRo8e3dBTccjV1RVBQUG4cuWKpczf3x9BQUF2bT09PS0vAFCr1YrtbrYxY8Zg//79eOaZZ+p9bCIiMyYPRNToFRUV4aeffgIA9O/fX7FNUFAQHn/8cWzZsqU+p9YojRo1CqNGjWroaTQ6cXFx+O9//9vQ0yCiOxxPWyKiRs9kMln+fPbsWYftXnnlFaxdu1ax7vLly5g7dy46deoEDw8P6HQ6REdHY/To0diwYYPNGNWlpaXh/vvvh5eXF7y9vfHggw8iPT3dYfucnByMGzcOYWFhUKvV8Pf3R0JCAjZv3uywz6+//opBgwbBx8cHHh4e6NKlC5YtW+awfbNmzRyeuz9q1Cibc/tzcnIcbsfa9u3bbfpZJxBpaWl2dbm5uXjiiSfQrFkz6HQ6dOnSBRs2bKhxv4wcORIBAQHQarWIjIzEK6+8gsuXLzfotQjWLly4gJdeegnt2rWDTqeDXq/Hvffei08//RRGo9Gm7dNPP213rcXGjRvRo0cP6PV6m/Ka1ufomgzrV0BAgN1cc3NzMWnSJLRu3RparRa+vr7o3bu34r+B3r1728XEkiVL0KFDB2i1WgQGBuKZZ55BSUlJne5PIroFCRHRHSAkJEQASI8ePSQ/P/+6+p47d046dOgg7u7uMnfuXElPT5ejR4/K+++/L97e3gJAvvrqK5s+Tz31lACQ0aNHy1//+lfZvXu3pKeny9tvvy2urq7SvHlzKSkpsRtr586dotfrxd/fX1asWCEZGRnyww8/SNeuXQWAzJs3z65Pamqq6HQ68fHxkaVLl0p2drbs3btXHn30URk7dqwAkLCwMLs17dmzR7Hu4sWLYjAYJDQ0VABIdna23Zjm9S1dutRSVl5eLgaDQf71r38JAHnqqacsdRUVFTZ1AwYMkHvvvVe+++47ycrKktWrV4uvr6+4urrK3r177cY7evSo+Pn5iUajkfnz50tmZqYcOnRIJkyYID179hQAAkAMBoOcP3/e/k10IDs729JXaZ3WZs+ebYkhJRkZGdKyZUvx9PSUhQsXSmZmpvz6668yYcIEASAJCQlSXl5uaV9UVCQGg0G6desmAGT8+PHSq1cv2blzp2RlZckbb7whACQ1NVUMBoPD92v27Nny2GOPicFgsHmlp6dLUFCQYtz89NNP4uPjI4GBgZKSkiLZ2dmyZ88eGTp0qACQxMREm/YXLlywiYlx48bJ3//+dzl27Jj88ssvMnLkSAEggwYNcnbXE9FtiskDEd0RFi1aZDlI1Ol0MmLECFm7dq0UFxdfs2///v0FgLz99tt2dV988YUAkHXr1tmUmw+ufXx8pLS01KZu8ODBAkA+//xzm/LCwkIJDAwUAPLzzz/b1JWVlUlwcLCoVCrZs2ePpfzy5cvSvHlzASBff/21TR+j0SixsbGKB5wi/3/grFQnIhIWFnZdyYPZ0qVL7ZKH6nUAZNeuXTZ1CxYsEAAyduxYu36dO3cWALJgwQK7ukGDBlm2eb3qKnmoqqqS9u3bCwBZuXKlXf2IESMEgEyfPt2urkePHgJAmjdvLmVlZTZ1kZGRlv3k6P2aPXu24r4ePny4AJDevXuLyWSylF+8eFGCg4MFgPz00082fYxGo9x3330CQBYuXGi3TXNM9OnTx6a8srJS/P39BYCcOXPGrh8RNR48bYmI7gjPPPMMFi5cCF9fX5SVlSElJQVDhgyBn58fevXqhY8++gjFxcV2/Q4cOICNGzfC3d0d48ePt6sfOnQoQkJC4O7urjjuY489Bg8PD5uyu+++GwBw8OBBm/IlS5bg3Llz6NatG7p27WpTp9VqMWrUKJhMJnz00UeW8jVr1uDs2bNo3rw5HnroIZs+KpUKEydOdLxTGlBUVJTdXY0c7ZedO3fiwIEDUKvVGDt2rN22Jk+eXCdziomJsbk4uvpr7ty5Dvt+/fXXOHz4sOXameqmTJkCAPjggw9QWFiouI3ExERotVqbsvT0dLv9VN24cePw6quv2pQtXboUK1euhL+/Pz7//HO4uLhY6pYsWQKDwYC77roL3bp1s+mnUqnw3HPPAbj6zBJHp+ONGTPG5u9ubm6Ii4sDcPUUOiJqvJg8ENEdY8KECfjtt9+wYsUKDB06FE2bNkVlZSVSU1MxceJEtG7dGt9++61Nn++//x4AEB0dDS8vL7tturu74+zZsxgwYIDimG3atLEr8/X1BQC7g0jzWF26dFHcVkREBABg165dlrIff/wRACwHbtW1bdtWsbyhXc9+Ma8xOjraLhED6m6NGzZswMGDBx2+lJJHM+v3zvpA3axTp05Qq9W4cuUKduzYobiNG11HSEiIzXUQGRkZmDx5suUhftXvDGWe61133aW4PXO5wWDA4cOHFdtcz/tHRI0L77ZERHeUJk2aYMSIERgxYgSMRiN27dqFVatWYdmyZfj9998xbNgwHDt2DGFhYQCA06dPA8ANPy/Bz8/PrszN7epHb/ULaM+cOQMA+OSTT5CcnGzXz9ze+qLv3NzcGufXELcUdYbSfjH/elN9v9TXGsPCwmq82Np8cKzEHCdKFyYDV28N6+fnB4PBYGlbXV08k6OiogLDhg3DpUuX8PzzzyMhIeG65xoYGGjTtmPHjnZtruf9I6LGhckDEd2xXF1d0b17d3Tv3h3Tpk1Dly5dUFhYiJUrV2LmzJl1MobSt9DXMnHiREyYMOG6tiki1z3OtdyMbZrdyH65mfO5FdzIPqnuxRdfxC+//ILY2Fi89dZbdTArZXUxVyK6PfG0JSK6I8ydOxe7d+92WB8REYFhw4YBgM2tSc2/QBQUFNzU+VmPJSJo06aNw1fr1q0tfUJDQ2ucX35+vsPxXF1dATj+pvj333+/oXXUtdqssb6Y37tz584p1huNRvzxxx82beva+vXrsWDBAnh4eGDVqlVQq9U3NFfr8ps1VyK6fTF5IKI7wuLFi2t8hgAAy8Wq1qeP9O3bFwBw4sQJxXvYl5WVoV+/fli8eHGt52gea8+ePYr1IoI+ffpg2rRplrIePXoAAPbv36/Y5/jx4w7H0+v1AJTPUTcYDLh8+bJzE7/JzGtMT09HaWmpXX1Na6wv5vdu7969ihcZHzx4EBUVFdBqtejevXudj5+Xl2d5rsYHH3yAyMhIm/rPPvvMsu/Mc3WUTJvjLzg4GO3bt6/zuRLR7Y3JAxHdMZYvX46ioiLFutLSUqxbtw4uLi545JFHLOWdO3dG//79UVlZiUWLFtn1++yzz7B582bExsbWen5jx45FUFAQfv75Z8sTsa2lpKRgy5Yt6Nmzp6Vs6NChaN68OfLy8vDNN9/YtDeZTFi4cKHD8by9vdGqVStcunQJJ06csKlTuuaiodx3333o3LkzKioqFOf1wQcfNMCsbA0aNAh//vOfcf78eaxcudKufv78+QCASZMmwcfHp07HNplMePLJJy3X7IwePdquzejRoy2/JJnjbN++fUhLS7Pb1oIFCwAAs2bNgkrFwwQissVPBSK6I5ifitu1a1csXboUx44dQ25uLg4cOIDFixejS5cuyMnJwauvvorOnTvb9P3ss8/Qvn17zJo1C2+99RZOnjyJY8eO4Z///CdeeOEFzJgxA/Hx8QCu/hKRn5+PsrIyAEBRURHy8/NhNBphNBqRn59vSWCqt9Xr9fjyyy+h1+sxaNAgLFmyBFlZWThy5Ajmzp2LxMRETJ48GQ8++KBlbjqdDitWrIBOp8OoUaOwbNkynD59Gvv378ewYcPg7e0NAJaxL1y4YLM287UVo0aNwq5du5CTk4OPP/4YBw4cQMuWLQFcPV3IfGpQaWmp4vrKyspQUVGhuL7S0tJrrr2goMByWlL1tgDw+eefw8/PDzNmzMCCBQss+2XSpEk1XsjsiHkM61OhzOusqKiwaWtes/mbe/M6rfu6urpi7dq1aNGiheW2wFlZWTh8+DAmTpyIlJQUJCQkICkpyW675vEuXLhgt24z6/Gqv5fz5s3Dtm3b4OPjg8mTJ+PIkSN2L2vmOPPx8cGQIUOQkpKC06dPY9++fRg2bBh27tyJp59+2uY2v9ZxbN5X5vnUFPNE1Ag16FMmiIjqSV5enixatEiGDx8uMTEx4u3tLSqVSpo0aSKRkZHyt7/9TdLS0hz2Ly0tlTlz5kj79u1Fp9OJr6+v3HPPPbJq1SqbB3BZPwTN+pWdnW3zQDLrV/UHrZ05c0YmTJgg4eHholarJSgoSHr27CmrV6+2GcvawYMHZeDAgaLX60Wr1Uq7du1k3rx5kpGRYTPW3XffbdPPZDLJW2+9JREREeLu7i6hoaEyY8YMuXLliuWBYOZXZWWl5UFpSmtITU1VrJs9e/Y11159LCg8ZC4rK0ueeOIJy5Omo6Oj5e2335bKykoBIC4uLk7Hg6P54H9PdLbmaM1KD9f7448/ZObMmRIVFSUajUa8vLykW7dusnjxYqmqqnJqu0oPfFNqZ35YXXh4uMO1VI9Ba2fOnJGJEydKq1atRK1WS9OmTaVXr16yevVqu/HNDwVUWn9NMU9EjY+LSCO/fQURETVqJSUl8Pb2ho+Pj90vK0REVLd42hIREd3y0tLSsGnTJsW6Y8eOAYDi8wiIiKhuMXkgIqJb3pYtW/Dcc8+hsrLSrs58pyulC4WJiKhuMXkgIqLbQkZGBgYPHoydO3fizJkzOHDgACZOnIjk5GQMGzYMTz75ZENPkYio0eM1D0REdMs7c+YMVqxYgQ0bNiAnJwcFBQXQarXo0KEDRo8ejdGjR/Opx0RE9YDJAxEREREROYWnLRERERERkVOYPBARERERkVOYPBARERERkVOYPBARERERkVOYPBARERERkVOYPBARERERkVOYPBARERERkVOYPBARERERkVP+D9pL2HPRxgjwAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='PV',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='WF',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABCEAAAJdCAYAAAAMQm1+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAACnUUlEQVR4nOzdd3gUVfv/8c8mpFESSgg1dARBVECaqEgv6qOIKDZQ/NkQLCAgqBQVEUR5pFhABIwNRQQsIE1EAZEuCggioZcAIQktQPb8/uC7+yRkN9lstmSz79d1cV1k58zMPTtzptx75hyLMcYIAAAAAADAy0L8HQAAAAAAAAgOJCEAAAAAAIBPkIQAAAAAAAA+QRICAAAAAAD4BEkIAAAAAADgEyQhAAAAAACAT5CEAAAAAAAAPkESAgAAAAAA+ARJCAAAAAAA4BOFLglx7tw5ffjhh+rSpYsqVaqkyMhIRUZGqmLFirrxxhv11FNPaebMmdq3b59H1/vQQw/JYrFk+VfQLFmyJFuMM2bM8Ph6CuJ38dVXX6l169YqVaqUIiIiFB8fr06dOmnq1Kn+Ds2hatWqZfsOL/8XFhamihUr6o477tC3337r75ABOHDDDTdkqbfVqlXzd0g+t379er3wwgtq2rSpKlSooPDwcJUoUULVq1dX586dNWzYMC1fvlwXL1706HpfeukllShRQsOGDcvzvA888IDHr2Pr169X9+7d7d9BuXLl1Lx5cw0bNkynT5/O9/IBb3rooYcUHR1dYO+bgGBy/vx5dezYUWXKlNF3333n73DcYjHGGH8H4Sk7d+7Ubbfdpr///luVK1dWjx49VK1aNUVEROjAgQNatGiRVq1aZS+fkJCgBx54wCPrXr16tXbt2qVffvlFU6ZMkSQVtK/28OHDWrJkiSTpwQcflCRNnz5dDz30kEfXU9C+i9dee00vv/yySpQoob59+6pGjRratm2bJk+erPLlyysxMdFvsTkzd+5cnTp1Kst3OHToUF155ZWSLn2fR48e1bx58/TLL79Ikrp3765PPvlE4eHhfos70M2YMUOJiYm69tprdccdd/g7HOTT3LlztWnTJlWrVs3j5zlXLVq0SEePHtWcOXP0zTffqGrVqgXynOMNBw4cUL9+/fTNN98oJiZGt956q6699lqVKVNGp06d0pYtWzR37lwlJSVJkmJjY/X444/rtdde88j6ixcvrtOnT6t48eJKS0vL07yrVq3Sv//+67Hr2LJly9SpUydlZGSoV69eatasmY4fP65Jkybp0KFD2r17d1AmqOBfy5cv1/Lly1WyZEk9++yzTssdO3ZMZcuWlSRdddVV2rJli48i9LxNmzZp7ty5kqQRI0b4NRb4x3//+1+dPHlSN998s26++WZ/h5OFq/ct69atU5MmTSRJt956a2D+GGkKidOnT5tq1aoZSebRRx816enpDsvNnDnThISEGElm6tSpHo9j+vTpRpIp6F+tLcbp06d7bR0F4btISkoy4eHhRpKZN29elmkvvPCCqVq1qn8Cc1Hm7/Cnn35yWGbo0KH2Mn369PFtgIVMq1atjCTTq1cvf4cCD+jVq5eRZFq1auXvUMzw4cONpAJ/zvGUP/74w1SuXNlIMvfdd585ceKEw3JnzpwxTzzxhP0cVr9+fY/FMGTIEFOsWDHzwgsvuL0MT13HGjVqZCSZ5557LsvnCxcuNJLM7t2787V8wB15OS898MADpnjx4mby5MneD8yLCsK9KfyratWqRpIZPny4v0PJxtX7lvT0dNOuXTtTsmRJ88033/gkNk8rNK9jzJw5U4mJiYqOjtY777zj9Nfgnj172lsBoPD77bffdP78eUnKlu184YUXtHTpUj9E5VmvvPKKatWqJUn64IMPtGvXLj9HBCCYHT9+XF26dNH+/ft1991365NPPlGpUqUclo2KitJ7772nu+66y+NxvP766zp16pRGjx7t8WXnRVpamjZs2CAp+3WoTZs22rZtmypVquSHyADXJSQkKC0tTX369PF3KEDQCw8P1+LFi5WcnBywLXcLTRLi559/liTVq1dPUVFROZa97777fBESCoATJ07Y/x8dHZ1lWkxMjGrWrOnrkDwuNDRUt99+uyQpIyMjYN8NA1A49OnTR/v371eJEiU0ceJEl/pTGDNmjEJCCs0tSRbJycn2/19+HQoLC1PdunUVFhbm67AAAPCbQnPFP378uCTZ3y3NSbNmzfTmm2+qWbNm3g4Lfma1Wv0dgk9kTqbQEgKAv/z999/66quvJEn33HOP4uLiXJqvRo0aaty4sTdD85tguQ4BAOCqQpOEsDX1/Pfff/X777/nWDYmJkbPP/+8GjRo4LSMMUafffaZOnXqpHLlyiksLEylS5dWixYtNHjwYK1du9aluDZs2KA777xTcXFxioyMVP369TVu3DiXbkp++uknde/eXRUrVlR4eLhiY2PVqlUrTZw4Uenp6TnOe/ToUfXr10/VqlVTZGSkKlWqpHvvvVebN2/Ocb7mzZtn6Q388qajhw8f9vgIG6mpqXrllVfUsGFDRUdHq2jRoqpVq5YeeeSRXON1xjZCx8MPP2z/LLce6i9cuKDJkyerVatWio2NtY+icd9992nlypU5rufyHtS3bt2qnj17Kj4+XkWKFLFP81aHdKGhoVm243LfffedunbtqgoVKigiIkJxcXHq2LGjPv30U4edrTkbkWP58uVZyo0aNUoWi0WvvPKKS8u4nNVq1UcffaQ2bdrYv3PbiB/z5s1zuK2XjxxiO0Z/+OEHdezYUXFxcQoJCcnTSAS2ZdpaVM2cOTNb7LZ9d/nnto6DPv30U910000qU6aMw/qTlpamjz76SHfeeae9w9zixYurfv366t+/v/bv3+8wthkzZjjcD0ePHlXfvn1VpUoVRUREqEqVKurbt2+W1j+OfPnll+rYsaPKli1rP6/deOONGjFihLZu3ZqlrLPje+nSpfrPf/6j8uXLKyIiQlWrVlWfPn10+PDhXL/rlStX6r777lN8fLwiIiLs57V3333X4bG7fPlyh+ecc+fO6bXXXlODBg1UvHhx+7QRI0bo5ptvlsVi0cyZMyVdaimX27Es5f9cNHv2bN18882KiYlRiRIl1LBhQ7311lseH/Uhr/XZ08dQTj766CN7DP/5z3/yNO+3336rBQsWuBR7cnKyBg8erDp16igqKirLsZHXEZqWLVumLl26qEyZMipWrJjq1avnkRErbLFXr17d/lnr1q2znVdGjBjh8Hyzb98+9enTR9WrV1d4eLjTY9eT164NGzboP//5j8qUKaPSpUurTZs2+umnn+zznTt3Tq+++qpq166tyMhIVa9eXS+++KLOnTuXr+/Ktu7u3bvb75eqVq2qRx55RLt27XJ4Hvjvf/+bbRnp6en673//qxYtWqhUqVKKjIxUlSpVdO+992rFihUO1+vsnD5lyhQ1btxYxYsXV8mSJdWhQ4csnZs748kYvHVdse3/kSNHSpL27Nnj9N7Odj51dYSfPXv26JlnnlHdunVVrFgxRUdH65prrtGLL76oY8eO5Wn73d0HjtjqmbP7Qtv143LGGH3yySf2+4uIiAhVqFBBXbt21ffff+9WLJktXrxYd9xxh33UnJiYGDVr1kyDBg3K9Xlm48aN6tWrl6pWraqIiAiVKlVKzZo106hRo5SamprjvGlpaXrxxRdVp04dRUZGKjY2Vm3bttXs2bMlZb/Xsu33Hj165Ho8REZG5vq9emI7Tp48qZdfflnXXnutihcvrvDwcFWtWlXdunXTtGnTss1ri2fPnj2SpJEjRzo8DyYmJjo8NqxWqyZNmqQmTZooJiYm2/EqXerEdeLEibrllltUqVIlhYeHKzo6Wo0aNdKwYcPsP5pfLi/3Lc7ug535888/9f/+3/9TjRo1FBUVpVKlSqlp06Z64403HF7nnG3/xYsXNWbMGNWvX19RUVGKjY3VnXfeqb/++ivH9Tvl1x4pPOitt96ydzRTuXJls3DhQreXdfLkSdO6dWsjycTHx5thw4aZqVOnmmHDhpnatWvb1/Pkk09mmzdzhzeLFy828fHx5qWXXjLTpk0zzz//vImKijKSTN++fZ2uPyMjw/Tt29dIMqVLlzYvvPCCmTZtmhk1apS58sor7Z137d271+H8f/75p4mLizOSTJ06dcwbb7xhpk6davr06WNKlixp7whLDjqmXLhwoUlISDA33nijw45Rzp49axISEkxCQkKunVu60vnPpk2bTIUKFYwk0759ezNx4kQzZcoU89BDD5kiRYoYi8Vixo0b53R+Z1atWmUSEhLMY489Zo/BFndCQkK2Tlz27dtnGjRoYCSZK6+80owePdpMnTrVPP3006Zo0aJGkunfv7+xWq25ruenn34ysbGxpm/fvmbq1KnmhRdeMJGRkW51PuZKx5TGGDNixAh7uddee83+eXp6urnnnnuMJFOmTBkzePBg8+GHH5rhw4eb+Ph4I8m0bt3anDx5MsvyEhISzJNPPmlf5jvvvGMSEhLM4cOHs5Rr0qSJkWQaN26cLaaEhAQzceJEI8k8/vjjJiEhIcv0EydOmJYtW2b5zqdNm2YGDRpkSpcubSSZ7t27m3PnzmWZ75tvvsl2jI4dO9ZUrlzZDBs2zEyZMsU88MADeeoE0LbMunXrGknmxhtvzHK8JCQkmFOnTtm3K3PZXr16maeeespcccUV5vXXXzcffPCBueWWW7LVn2uvvdZIMsWLFzdPP/20ef/9982oUaPMTTfdZCSZkiVLml9++SVbbLt27TIJCQlm/Pjx9v3x6aefmho1apjHH3/cfPjhh2bUqFH2TgAbNmxozp8/73A7e/fubSSZGjVq2M9rr7/+urnuuuvsy/7yyy/t5R0d3xMmTDCRkZHmySefNFOnTjVjxowx9erVsx9jmzZtcrhuq9VqnnvuOSPJFC1a1Dz99NNm6tSpZvTo0fbzWoMGDcz+/fuzzHf48OFs55zJkyebJk2amDZt2pgJEyaYCRMm2GMYPny4WbRoUZZjpG7dutn25+XHcn7PRU899ZSRZEJDQ03v3r3NlClTzJtvvmkaNWpk2rVrZ1566aV8d0zpbn325DGUm6ZNm9rXsWfPHre3NafYv/jiC1OzZk3TtWtX895775k333zTHvv06dMdHrfOjB071l6mW7du5v333zfvvPOOufnmm02DBg3MhAkT3O7EzlHsQ4cOzXZe2bx5s0lISMjSyfD3339vypcvb3r16mWmTJliXn31VVOqVKls1wJPXruWLl1qatasaV555RXz7rvvmrvuust+TM+bN89cuHDB3Hrrrfbj+4UXXjAlSpQwksxdd92V5+8ns88++8wUKVLESDJt27Y1kyZNMu+++665/fbbTbFixcwbb7xhj3P8+PEmISHBbNu2Lcsy9uzZYz8vN2vWzLz99ttm6tSppm/fvvbv4plnnsn2XTg6pz/yyCOmRYsWZsKECea9994zHTp0MJJMeHi4WblypdPt8GQM3ryu2PZ/165djSQTGxub7Ry5a9cuY4yxn09tZXM6h33xxRf2+5277rrLvPfee2bixImmffv2RpIpVaqUWb58ebb5PLkPnLHVM2f3hQkJCWbz5s1Z5jl58qS5+eab7c8Dw4cPNx9++KEZPHiwKVOmjJFkevTo4bQz/NyMHDnSSDLly5c3gwYNMlOmTDFjx441bdu2tcf45ptvOpx39OjRJiQkxH49/fDDD824cePs5+DKlSubP/74w+G8Bw4csD/PVK5c2YwYMcJ8+OGH5vnnnzcxMTHm+eeft3fe2LVr1yz3zb/88kuux8Nnn31mEhISTGxsbK4dQLq7HXv37rXH2KVLF/PWW2+ZKVOmmAEDBpiSJUsaSaZYsWJZ5rHtZ1tctm3L/M8YY06dOpWt7Msvv2xuu+0207hxYzNu3Djz7rvvmuuvv95+vNrY1h0bG2sGDx5spkyZYkaMGGGvq5UrV8527jLG5Om+xdF9sDNvvfWWCQ0NNUWKFLGfu9966y379xsfH2/+/PPPLPM42v6XXnrJdOjQwXTq1Mm89957ZsKECaZZs2ZGkomJiTH//POP0xicKTRJiGPHjtm/KNu/a6+91rz99tt5uhHKyMiwJyAaNGhgkpOTs0xPT083d955p5Fkbr/99mzzZ35orF+/vvn333+zTP/kk0+MJBMSEuL0gdR2s1qxYsVsiYZz587ZT07XXXeduXDhQpbpp0+fNtWrVzeSTPPmzc2ZM2eyTF+9erX9ZtV2w+aIK72z5raM3JIQhw4dMmXLlrUf3Jf78ccf7SOZuNvzqyuJkNOnT9sfgtq1a5ftoXfTpk2mePHiRpIZMWJEruupVauWWbt2bZbpr732mpG8l4Sw3XBIMqtXr7Z/btuPFSpUyHYsJScnm6uuusp+03f5TdHevXvty/zkk0+yrfPgwYPGYrEYScZisWR7eDTGmM8//9xIMomJiVk+z8jIsI9E0bZt22zf+d69e+0PhM8884zDbbZtW7ly5Uy9evXM8ePHs0xv165dnh/48jI6hq1spUqVzI033mjOnj2bZfuuuOKKLPWnfv36pkSJEmbr1q3ZlmXrobxcuXL2ZMfldu/ebd8fFStWNF9//XWW6f/884/9Jn7mzJnZ5rclHytXrpztIdVqtZoHH3zQaX3OfBwWK1YsyzFmzKXkpO0YjI+PN6mpqU63sXjx4tkSFefOnTPt2rUzkky9evWynbdsbDFUqlTJDBw4MMu0vXv3GovFkuVmx9VepvN7Lnrvvffssc2ZMyfLtIsXL5o777zTvvz8JCHyU5+Nyf8x5ArbaETh4eFuze9M5tgrVapkJk2alGX6r7/+mu34ze38v2DBgiwPtpd75pln7Pstp2tIXmLP6Tz+008/2ctVrlzZfPvtt1mm2+4fbMvw9LXrmmuuyXYet41cUr16dTNhwgQzZcqULNNXrlzp8NqTF3/88YcJCwtzer4fP368CQ0Nta/H0XX09OnTpk6dOkaS6dmzZ7bjf/PmzfYkgKN9bcz/zukVKlQwd9xxh8nIyLBPs1qtpk2bNka6lOhzxJMx+Oq6kpfRMXIru3TpUvt58sMPP8w23XZvW7RoUYfxGpP/feAKV0fHyMjIsK/vqquuyvY8kPk+5aGHHspzHFu3brU/fDt6TrF9X44e4D/88EP79fjy62nm63nVqlWzXe8zMjJMixYtjCRTs2ZNc+zYsSzTd+7cacqUKWOvc84SCK4cO7mNQpGf7ejRo4eRHP+oe+DAAfuPse7E5ahspUqVzD333JPlmExLSzMlS5bMcs9YrFgxU6lSpWw/dFy8eNE8/PDDRpK5+uqrHV6jjcnbqF65lbUd66Ghodl+nM/IyDA9e/a0nyOOHDmS4/ZXqFDBPP3001mmpaen2xOHDz/8cK7xXq7QJCGMuZTZzXzDkPnfNddcY4YPH2527tyZ4zIyn5wcZY+NuXRwh4aG5pqEcHTRT09Pt2eJ33vvvWzTd+zYYa/4H330kcP1b9261b6OTz/9NMu0zL8W/P777w7nt7WycPbAYYxvkhC2k0v16tXNxYsXHZa5++67jXSpRYezCpsTVy42tlYEoaGh9sz/5WwnW2dlMq9nwIAB2aZv3rzZ9OrVyyQlJbkdv7Ob1++//95eJvOFefny5fbPZ8yY4XDezDe9jh46rrnmGiPJ3HPPPdmmffDBByY8PNx+0+HoeL7vvvtMgwYNsn0+bdo0I11KxjnLnr777rv279xRqx/bMSop2826McbMmjXL4b7IiTtJCEkOs/STJ082o0ePtv9dv359h62njLl0capSpYrTmzdjsj7I3HTTTQ7L2H6xcbS/bK0QunXr5nDenTt3Oq3PmY/Dfv36OZz/jz/+sJe5/ML+zz//2M9rzh6G/vnnH/uxNHLkSIdlbMuvUKGCw1+e+vXrlyVJ4OrFPD/nojNnzth/oe7SpYvDeQ8dOmR/yHI3CeGJ+pzfYyg3KSkp9uWXKVMmz/PnJHPsjlpepaenm169emW5bud2/s/cstDR9eXMmTN+S0I4qqcHDhwwvXr1sv+K5ulr16hRo7JNX7t2rX16gwYNHH5Ptu9x6NChTrctJ506dTLSpV8OHSUgrVarvbWH5DgJ8fLLLxtJpkSJEtkeVmwGDRpkpEutA06fPp1teuZzuqPvasaMGfbrlqP5PR2DL64rnkpCZGRkmJo1axpJ5uabb3Yaj62MsyRCfveBK1xNQtjWJclh643Ll/Xzzz/nKY533nnH6fnMmEvJ/dDQ0GzX05MnT9pbIA0bNszhvCdOnLA/a1xer7/44gt7zJlbPmY2btw4p9dzm/wmIfK7HbbrrqP7P2OMefHFF53uY3eSEBEREQ7v4UeOHGmmTp1q/7tYsWJmzJgxDpeVmppq354lS5Y4LOOpJERKSoqJjo42kvMk2cmTJ01MTIyRnCcRbNtfvHhxhz8w2a5D5cqVyzXeyxWaPiEkqUWLFtq6dauee+45lShRIsu0zZs3a+TIkbriiivUrVs37d271+EyJk+eLEmKj4/XDTfc4LBMxYoV1apVq2y9XF/ulltuyfZZeHi4/f3QnTt3Zps+ZcoUZWRkKDQ0VN26dXO43CuvvFJVqlSRJH3++edZptneJapWrZqaNGnicH5vDIWWV8nJyfriiy8kXYonc58GmXXq1EnSpc7ObEOceZIxRu+9956kS/1h1KhRw2G5+++/X9Kl0Sc++OCDHJfpaL9dffXVmjFjhmJjY92ONSUlRceOHbP/27Ztm0aPHq3u3btLutQ55SeffGIvbzuWw8PDne7zm2++2T40nK18Zrfddpsk6ccff8z2Xvv8+fPVtm1bNW3aVNKl97kzu3jxohYsWGBfRma277xx48ZORyix7fuMjAx9+eWXDstIUtGiRe1lM7v77rs1btw4p/N5yhVXXOGwf5k+ffrohRdesP+9aNEijRkzxuEyQkNDde2110qSfvnll1zX6eg7lS6dGyTH55aMjAxJ0vr163X27Nls02vWrKnFixerY8eOOa7b2bHUoEED1atXT5Ky9RPzwQcf2Ndvq0uO1t+8eXNJ0rvvvuuwbwOb2267zeEwzBMmTMjzUFX5PRd9++239tEP7r77bofzli9fXi1btsxTXJfzRH3OzJ1jKDdpaWn2/+c2SpWU/Zxm+3fmzJkc53N0jg0PD9eMGTOcXrcv9/vvv2vbtm2SpO7duzvsNyIqKsrhddwXHG1jxYoVNWPGDNWtW9cr1y5H59ErrrjC/n/bO8uXq1OnjqRLdSOvDh8+rEWLFkmSbr31VofHjcVicXo/JF26jtu2rVOnToqJiXFYzrZ9J0+ezNb3SGb169d3+H3a6obVas3WAbSnY/DHdSU/Fi5caP9OnJ3jQ0NDdc8990i61OfZ5X0QZebOPvA02zm0UqVKatWqlcMyd911l/1alNs593K2a+LOnTt19OjRbNMjIyP1008/qWfPnlk+/+STT+znWtv3eTnbO/+S8+eEyMhIp9cBXzwn5Hc7bN/fr7/+6nDeJ598UosXL/ZUuPY+dy43bNgw/b//9//sf2/dulX9+vVzuIwSJUrYz6nerpOffPKJvU8MZ3UyJibGfo379NNPdfLkSafLa9WqVbZna+l/dfLIkSNZ7gFcUaiSEJIUGxurt99+W0eOHNGXX36p++67TyVLlrRPN8Zozpw5atSokbZs2ZJl3pSUFPvNZaNGjXJcz9KlS/Xxxx/nWKZ27doOP7fFk5KSkm2arQOo+Ph4nT9/3uEN2rFjx+w9jmfuIPPEiRP2myrbhceR+vXr5xi3L6xcudLeCV316tWdbmfx4sXt87jaGWhe/PXXXzpy5Igk5dgze+3ate1Jp8yddDliq5Cedscdd6hs2bL2f/Xq1dPQoUMVFhamp59+WuvWrVPFihXt5W1x2jqHcsZ2rK9fvz7bCcR2gTp58mSWE+aZM2e0dOlS3XbbbfYyy5Yty9LBza+//qrk5ORsF7nM9eyKK65wuu8jIiLs8+S072vXrq0iRYo4ne5tru7vihUrZjmBnzp1SsePH7dvb9GiRSXJpc4d3Tm32B6CExMT1bJlS33zzTdZOoK0WCxq166dKlSokOO6czp/2M47e/bsydIh2rJlyyRduuDVqlXL6fy2OnjkyBH7ucwRT9ax/J6LMnf8583zrifqc2buHEO5yXx8O0p0Xe7222/Pck6z/Rs7dmyO83li//tqv7krt230xrXL0TGReZ86O2ZsZXK6gXVm9erV9o663d0Pf/31l/0hrlatWk7rsO0cK+V+TXEk873k5fXD0zH447qSH7ZzvJTz8Zh5mqPOgW3c2QeelJqaqvXr10vKeXuKFy9uT8LlVr8uZ7smp6am6vrrr9fHH3+cLQF74403ZkvG2NYTFham2NhYp8ea7YF569at9uUaY+wde9atW1eRkZEOY6tatWqO1xlPyM92SP/7/saOHatHH300W+eIlSpVUrt27TwWr6t1skqVKvZkqjFGqampDu8lClqdPH/+fI6dvnqjTvrvzt3LoqKi1L17d3Xv3l0XL17UokWL9MEHH+jbb7+VMUbHjx9Xr169svyilZiYaL8YZn6Yc5ejjJEke9bUUY/ptsxuYmKiypYtm+s6kpKSZIzJ0turpBwfJGwjifhT5gx2nz591KdPn1znsd1weSsO2y+IzlSsWFGpqam5Zt9zayHjrnHjxumaa66x/207cdetWzfbr7e2Xxil3LfLNj0jI0OJiYlZfn1p0qSJypcvr8OHD+vbb79V69atJV369eXcuXO67bbblJycbO8dfdGiRerataukS78Qx8XF2bPYNpnr2aeffqpPP/00123Pad976/t2lavrN8YoISFB06dP19q1a532vO9KL/PunFu6d++uOXPmaNasWdq4caPuvPNOlSpVSrfeequ6deumzp07O2xdcLnMF5zLZT5v7tmzR5UrV5b0v3qW23k187G6a9cue8uKy3lyn+f3XJR5xBtvnXc9VZ8zc+cYyk10dLTCw8N1/vx5paWl2a9Nzrz11lv2ViRHjhzRAw884PJ68ssX+y0/cttGb1y7MifabDLvP0fTJSkk5NLvWe4cM57YD5m3a/To0Ro9enSu683pmpJb3ZCyb6unY/DHdSU/XD0eLz/HO+POPvCk3bt32+9TXDnnbtmyRUlJSUpLS3Ma++WaNm2qQYMGaezYsdq1a5d69eqlPn36qFOnTrrzzjt1++23O0wE2L63CxcuqFy5crmux2q1KikpSVWrVtXJkyftD4q5/eBQqlSpfI8QlJP8bIckjR8/Xn/++af27dunDz/8UB9++KHq16+vrl27qnv37rr66qs9Gq+rdfLChQt6//339emnn2rTpk1ORzP0VZ20jYbhjD/rZKFNQmRWpEgRdenSRV26dNHy5ct1yy236MyZM9q4caO2bNliv0k7deqUfR5n2cG8sF2Y88IWQ61atexNLXNju9HLfLLIKX5nzY19KfN3/corr6hFixa5zuPqcIvuxpHbPrdNz23YI3f2uysaN26c6zA8Nu5sl5R92ywWi2655RZNmzZN3377rd5++21Jl17FaNiwoSpXrqzKlSuratWq2rNnj+bPn58lCXHrrbdm+z4yx9atWzc98cQTuW6Ps6atkve+b1e5sv6LFy/qzjvv1LfffquwsDD17t1b119/vSpUqGC/yX/zzTftzZI9sc7LWSwWffHFF7rrrrs0YcIE/fLLL0pOTlZCQoISEhIUFxenl156yWkzQpuczh+Zj6XM+9n2//wci5l5cp/n91zki/Oup+pzZt6qNw0bNtSaNWt0/vx5JSYmZhme8nKZf53Jy/DFnoi9oF8vc9tGb1y7chvKNLfp7vDEfsj8XfTp08d+DcpJTg89+bl382UMnr6u5Ierx6O/z0+uys8519UkhCSNGTNG7du31/jx47Vw4UKdPn1aX3/9tb7++muVKFFC/fv314svvqiwsLBssRUvXlzffPONS+uxtSZwtb5J3j/35Wc7pEuvgW3atEkTJkzQ1KlTdfDgQf3111/666+/9Nprr+n666/XxIkTc23Z7ipXjsnU1FS1b99ev//+u4oVK6a+ffuqUaNG9tbrkjRgwAD98ccfHokpJwX5vssmKJIQmd1888165pln7Fnq7du325MQmU8c3s5QOVOiRAklJycrNDQ0z82IMv9KkVP8tveo8sOWIXbX5U08Pdlkyt04ctvntuk5PRAXFO5sl+R422677TZNmzZN//zzj7Zv364rrrhC3333nZ588kl7mVtvvVWTJ0/W999/L6vVqp07d2rnzp0Om1Vnji02NtZv+96XJk+ebO8z4/PPP3f4fnPm/jy86a677tJdd92lxMREzZo1SwkJCfamxE8//bSSkpL0yiuvOJ3f1meNI5mPpcznI9t5Lb/Hojfk91x0+XnX2a8l+TnverI+e1vr1q21Zs0aSdKGDRtyTEL4ky+vl95QWK5dntgPmb+L+Ph4v1xT/BFDQbquXH48OjsP+vv85CpfnnPbtWundu3a6fDhw5o9e7Y++eQTrVmzRmlpaRo5cqT+/fffLK9/22K7cOGC154TJO8/K+RnO2xKly6tESNGaNiwYfr555/1xRdfaNasWUpJSdGqVat0ww03aO3atT57rW748OH6/fffFRoaqmXLlmVrCSz5rnWd7fstyPcMhaZPiHHjxql8+fI6f/58rmVtnZ9JytL5WfXq1e2ZnoMHD3o+SBfY3pfev39/jh2zOVK1alV79vvQoUNOy9mav+bE9o69s6Y1uf2ikpvM74U76yTUFzLHkds+t0131pFiQRIdHW1/nSe37Tpw4ICkS1lvWzO3zNq1a2fvn+G7777T6tWrlZSUlKWvB9v/k5KS9Ntvv+nbb79VRESE2rdvn215meuZP/e9L3311VeSLjWLzqmDNV+qVq2aBg8erD///FPfffedSpcuLUl64403cnyvL6f3vjMfa5kfPm31zNVjUfJdPcvvuShzq4j8nned8WR99rbevXvb67erv275gy/2mzcVlmuXJ/ZDQbif8EcMBem64urx6I9zvDvy8jxg26a4uDinryy5onz58urbt69+++03rVq1yl43EhISsvSRZPuu09PTHXZomZOYmBj7K5U51Tcp9z5ecntOkHJ+VsjPdlwuJCRErVu31gcffKD9+/drwIABki71TZTTjyqeZquTzZo1c5iA8CXb93v27Nkc96U/62ShSUKcOnVKR44c0b///ptr2cyZufj4ePv/S5Qooeuuu06S7B3SOPP444/r7rvv9niLCds796dPn9aff/7ptNxvv/2mIkWKZHkQLFWqlP0d6o0bNzqdN6ceiW1sWWxnB+6OHTtyXUZOrr/+evt7RLZfzZzp0qWLihQp4pWOKa+88kqVL19eUs77/J9//rGfTG37qKCzxbl9+/Yce5u39Yty3XXXOWxGWKxYMbVp00bSpVcs5s+fr4oVK2ZpSn3zzTfbL77z58/X/Pnz1aZNG4fvM2auZ2vXrs0xUz5mzBgVKVLEJ6NcSN5pbizJfoHN6d3SzM0/vWHOnDl6//33HU675ZZb9Oqrr0q69KtETvU7p/OH7bxTvXr1LP0/2I7FlJSUHN85tB2L5cuXV926dZ2Wc5Ur+zO/56LMozHk97ybE0/VZ2+rXbu2evToIUn6+uuvs/RVVJD4ar95S2G5drVo0cL+sOfufsj8XeRWh/v06aMiRYpo9uzZbkTrnD9i8MR1xVPXvMzHVk7HY+Z+2Fx9vdTTXNlmV58HTp8+bR8VJq/1a9myZXrjjTccTmvRokWW0TYyPw9kXk9Ox9rBgwcVERGRpW8Ei8Vi79Bx+/btTp9h9u7dm+uxk9tzwtGjR3P8QSM/2yFJL730kn7//fds5YsXL65x48bZRwh09CxVkO/1/FUnw8PDdf3113tk3a4qNEkIm1mzZuVaZuHChZKkMmXKZBvG8qmnnpJ0qSWCs+FTNm/erClTpujgwYMe6Tsis8cff9ze1PnyYe4ymzZtmjIyMuw3eza9evWSdKlTOGcP7V9//XWucdiGkPn3338dZjm/++67XJeRk5IlS9qHjFm4cKHTDpr27NmjRYsWqWbNmvYLgidZLBb7awWrV6/W7t27HZb77LPPJF36dfGxxx7zeBzeYOtgLz093ek+X7FihT0Lajv2HbElu1auXKlZs2bp1ltvzXKijIiIUIcOHSRJX3zxhVatWuV06KfM6zp27Ji+//57h2UuXryomTNnymKx2Ich9TZbT+KZR404d+6c6tatm2UIpryydQC1a9cuh0kXY4w2bdrk9vJdMX/+fA0bNszp9MydVOXU+aSzY2nLli32X2seeuihLNMyn9dsdelyu3fv1m+//Sbp0rHriQuxo/0pXepVu3PnzpLyfy669dZb7a1IbL+CXO7IkSNOhxFzlSfrs7dNnDhRVapU0blz5/TYY495tQM5d1133XX2pP3s2bMdtjw8d+6c0/OTvxWWa1e5cuXsw1Z+//33TkdVmTNnjtNlZP4uNmzY4PR969TUVM2aNUslSpRwOBxpfvgjBk9cV5ydI+++++48dezXsWNH+6+ozs7xGRkZ9nv0Nm3aeG0ksdxkHqEk83Y/99xzqlu3rpKSkiS59jzw9ddf21tgu9KpcWYrVqzQ0KFDnY5i5OyafP/999ubzef0nDB9+nSdP38+2/CXtueEc+fOZRta3SYvzwmnT5/O8mu6TW7PCfndjlGjRjm95kr/+/4c3c84Ou537dqlunXravjw4TnGnRPbOp39kHP27Flt3749x2W4ct/iiszfr7M6mZqaat9PDzzwAK9j5Ncbb7yR49jLn3/+uaZNmyZJGjlyZLah/R544AH7r759+/bN1pTozJkzevTRRyVdysJ5Wo0aNfTyyy9LkiZNmpRliBWb2bNna9q0aWrUqFG2SvnUU0/Zm0E/88wz2S7oa9eu1UcffZRrHB07dpTFYtHZs2eznYz+/fffHG8IXDV69GiVK1dOZ86c0SOPPJKtB9m0tDTdd999ysjI0OjRo72WuRw4cKCuvPJKZWRk6Iknnsj2Ss+WLVvsv8QPGzbM6XjsBU2rVq3sD4NDhgzJMmSidOnkY+uEsG3btjn2TH/rrbdKunQTsWfPHocJBttne/bsUUZGhn0eRzLXs379+mW7gFmtVj3//PPatm2b+vTp47Nm5bYhiDI3p/3jjz/0999/56uTJltT2RMnTjgc0/2tt97y+pjn0qXXZSZMmJDtc1sP65J0zTXXOB2KSbrUxP7yXx/S09PVt29fSZdalz333HNZpmc+r7355pvZbtDPnz+vJ554QhkZGapXr56ef/75vG+cA7bt2Ldvn/2zw4cP67fffsty056fc1FkZKRef/11SdIPP/yguXPnZpnXarWqX79+eX697nKerM/eVrp0af3www+qXLmyFi1apDvuuCPHpr8rVqzIci3z1rn+cm+99ZakS8MrvvPOO9mmv/jiizpx4oRPYnFHYbl2vfHGGwoLC9OxY8c0dOjQbNMnTpyYa9Nx23chXXol6PJfYM+fP6/evXvrxIkTGjZsWL6azReUGDxxXbGdI48ePWr/VTw9PV1Llixx2qu/IyEhIZoyZYpCQkK0bNkyTZ8+PVuZV199Vf/884+KFi2a5Vd+X8t8fct8rV+0aJH27dtnf2f/8ueBy/fngQMH7Mfrww8/rJtuuinPsRhjNGLECIfTbP1AlC9fXjfeeKP98+joaPv5as6cOfZrd2arVq3Sq6++qvj4ePu12eauu+6yd8A8ZMgQHT9+PMv0f//9V+PHj8/1+LzxxhvtrV0v73vkxIkT+u9//5vjiBL53Q7p0g+yjlrbJSYmasWKFZLk8EcsR/d669ev199//52vH5dtdXLz5s36/PPPs0wzxmjQoEG5jjji6n1LbjJ/vx9//LEWL16cZbrVatWzzz6rlJQUlStXzqURfTyt0HRMWbFiRYWFhencuXPq0qWLWrVqpXbt2qlixYoyxmjfvn1atGiRVq9erdDQUA0fPtzhL0UhISGaM2eO7rjjDi1fvlwNGjRQ7969ValSJe3Zs0czZ87Uvn379Morr2TJYv/xxx/6448/tHr1avtntkrZtWtXFStWTIsXL9aRI0fsv7T9+++/+uSTT1S8eHHdcccd9vmGDRum1NRUvf322+rQoYPuu+8+tWzZUmfOnNGKFSs0d+5c1a5dW3PmzMmWRClatKh9KMXVq1erUaNGevjhh1WmTBlt3LhR06dP15tvvmnf9tWrV6tIkSKqWrVqlpNc9erV1adPH02ePFm9e/fW+vXrdeWVV2r37t2aOXOmpk+frrZt22ZZRo0aNXT99ddr9erV2rVrl8Pv4vrrr7ffCJUrV05LlixRly5d9P333+vqq6/Wgw8+qPLly2vXrl2aOXOmDh8+rFGjRunOO+/M0/GQUwyZ94l0afiaRYsWqXPnzlq0aJEaNmyonj17KjY2Vlu2bNGHH36o06dP67nnnrM/SNnktN8v3695MXfuXJ06dSrLchcvXmx/8Gjfvr1LQxq9//77Onv2rGbNmqVrr71Wjz76qGrXrq39+/dr2rRp2rt3r26++WZ9/fXXOd74x8fH69prr9WmTZsUFRVl3/eZ3XLLLQoJCZHVatW1116b5VWnyzmrZ3Xr1tXhw4c1d+5crV+/Xv/5z3+ydW5pq0e2V6+OHDli/85r1qzp0ugGztx///2aMGGCVq1apcGDB6tKlSqaPHmyQkJC7L8e2PbN5fVYkq6++mqHvx49+eST+u6777R48WINHTpUv/76q9q1ayeLxaIlS5Zo8eLFqlatmhITE+3bYzt+jhw5osWLF9uHaLR9B/v377fXJ9txaHu4P336dLbzj61p/jPPPKPvv/9erVu3VtmyZXX06FHNmTNH69atU/ny5XMdMnXq1Knq2LGj7rvvPjVq1EgnTpzQjBkztHXrVpUpU0bffvutw9cAhg0bppSUFI0fP17XX3+9HnnkEV199dU6duyYPv74Y23dulVXXXWVFixYYB9j27Ytl/ctYDvnSDnXhW7dumno0KHat2+fHnvsMTVq1Egff/yxrFarHn74YXu5/J6LHn/8cW3ZskWTJ0/WXXfdpV69eqlFixZKSUnR559/rtOnT6tPnz6aMGFCln1z22235emXB3frs6eOobyoX7++fvvtN/Xp00fz589X7dq11aVLFzVp0kSxsbE6deqUduzYoaVLl9pb0FSqVEkDBgzIMmJOTrE7i83Va1CnTp00duxYDRo0SM8995xWrlypdu3a6fz58/rmm2+0bds2vfjiixo5cmSWZbRu3TrXYfukS+eGVatWOY3dFoutXOb3vufOnWvvCd5ZQslb1y7bd3r5g4Wt3tnOc87OxXm99jVo0EAzZ85Uz5499d///ld//vmnunbtqpCQEC1atEjr16/X22+/nWNizfZddOnSRevXr1f9+vX18MMPq1q1atq7d6+++OIL7dixQ0888YSeffbZLPM6O6eXK1dO7du3t5+DHO3HzOd8b8Qgeee6YmM7f9qGyO3QoYPmzZun5ORkDRo0yL6tR44ccXhuyHz+bdOmjT777DM99NBD6t27txYsWKC2bdvq4sWLmj9/vhYtWqSSJUvqm2++yfa6naf2gSuuueYaNWjQQFu2bNGjjz6qe+65R7/++qu2bt2qxx9/3H5tufw+5eqrr9YjjzyiypUra+fOnfrwww917Ngx3XPPPU5fdcyJ7Tr59ttva+XKlbr11ltVoUIFnThxQgsXLtSyZctUokQJff7559kejHv16qXjx49r0KBB6tmzp+bMmaN27drJarVq7dq1+uyzzxQbG6v58+dnu8ZYLBbNnj1bN998s3bu3Gm/llSuXFl///23pk2bpnHjxmnEiBE5vjpQrFgxjRgxQgMHDtRLL72kxMRENWnSRIcPH9a0adP0yiuv6MUXX1Rqaqr++OMPffLJJ4qLi7O3ms3vdhQvXlzJycmqX7++evbsqXr16qlIkSL6+++/lZCQoJMnT6pr164OkxcPPvig5s2bp6+//lp16tRR8eLF9eabbyoqKsrewtx2jNuSBrZtkLJeRzIbPny4li1bps2bN+v+++/X/Pnz7c9v3377rTZv3mwf9v7yY9zGlfsWW31xdB+c+ZqY+fvt0qWLevXqpebNm+vUqVP64osvtGbNGsXHx+uHH37IMoJHTttvu8+2XZsdXbecfT/ZmELkxIkT5tNPPzWPP/64ad68uSlXrpyJiIgwYWFhpkyZMqZZs2Zm4MCBZtu2bbkuy2q1mk8++cR06NDBlC1b1hQpUsTExcWZ22+/3Sxbtixb+eHDhxtJDv/t3r3bGGNMq1atHE6vWrWqwxhWrlxp7r33XlO5cmUTHh5uSpQoYZo2bWrGjBljTp8+nWP8R44cMX379jVVqlQx4eHhJi4uztxyyy1m6dKlxhiTLYZu3bplW0ZGRoZ58803Tb169UxERISJjY01Xbt2NZs2bXK4jPvvv98YY0yvXr2cfhfTp0/Ptp60tDQzevRo06RJExMdHW3CwsJM5cqVzb333mtWr16d43Y6k1MMmfdJZunp6WbSpEnmxhtvNKVKlTLh4eGmUqVKpkePHubXX391uJ6c9ruz/eqKqlWr5hj/Tz/9lKflffvtt+b222835cqVM2FhYSY2Nta0b9/eJCQkGKvV6tIyXn75ZSPJ3HbbbU7LtGjRwkgyL7/8skvLdFTPYmNjTYcOHcxnn33mcB5n9UiS6dWrl0vrzcns2bNN48aNTWRkpClZsqS5/vrrzaJFi+zTc9o3w4cPd7rcCxcumP/+97/muuuuM0WLFjXh4eGmatWqpmfPnuaPP/7Idszajp+ffvop1/rkyvnHtqx+/fqZRo0amZIlS5rQ0FBTokQJ07hxYzN8+HBz/Phxh7FPnz7dvjxjjNm0aZO55557TMWKFU14eLiJj483TzzxhDl48GCu3++vv/5q7r33XlOpUiUTHh5uSpUqZW644QYzadIkk56enq387t2781UXfvrpJ3PDDTeYokWLmuLFi5tGjRo5Pbbyey766quvzE033WRKlChhihYtaq688kozdOhQk5aW5nAfbdmyJddlOpLX+uzJY8gda9asMQMGDDANGza01/Po6GhTpUoV0759ezN48GCzfPlyk5GRkafYncWW12vQ0qVLTadOnUypUqVMZGSkqVmzpunXr585cuRIlmPf9u/bb791absdzesoltzK5cbT1y7bd5rbeS6v9zS52bBhg+nWrZuJjY01ERERpkaNGuaZZ54xSUlJZtmyZfbl79u3z+kyzp8/byZPnmz/LooUKWLKly9vbr/9drNgwQKH8zg7p7dq1coYk/M5yNE535MxeOu6ktnmzZtNx44dTXR0tImKijL169c3EydOtNfHnK65js6/iYmJ5umnnzZXXHGFiYqKMsWKFTNXXXWVGTJkiDl69KhP9kFuEhMTTbdu3Uzp0qVNRESEueKKK8yIESPMuXPnspW1Wq0mISHBdOjQwcTGxpqwsDBTrlw5c/vtt7t8LnBm7dq1ZtCgQaZ58+amdOnSJjQ01P599e/fP8dj3Rhj/vzzT/PII4+Y6tWrm4iICFO0aFFzzTXXmBdffNEcO3Ysx3lTU1PN0KFDTe3atU1ERIQpW7asufXWW83y5cuNMf/bJ7l9vx999JFp1KiRiYqKMiVLljTt27fPtgzbv5YtW3psO1JTU81HH31kunXrZmrUqGGioqJMkSJFTLly5UyXLl3MrFmzcoz7vffeM/Xq1TPh4eH2a+jatWvt0105dzty+vRpM3LkSHPVVVeZyMhIExkZaWrXrm369Oljdu/ena0+2Y7xzHK7b8npfOHomrhlyxbzyCOPmGrVqpmIiAgTHR1trrvuOvP666+btLQ0h9vhbPm2+2xX7ityY/m/FQEA4NCMGTPsGXguGQB8bf78+br99tslXfplLvN7/QA8r1q1atqzZ4+GDx/u9JURID8KXZ8QAAAACAznzp3TunXrchxifefOnZIuvSpKAgIAAh9JCAAAAPiF7V1y28hljsyfP1+S7K0hAACBjSQEAAAA/GrUqFEOR2SYPn26VqxYoVKlSnls5BwAgH8VmtExAACe5eooAwDgLttILr///rvq1aun+++/X1WrVtWpU6e0ZMkSfffddypZsqS+/vprl0YlAeCezKNRXT4qQn5GfAMcoWNKAIBDDz30kGbOnOlw2vTp0/XQQw/5NiAAhdKaNWv05Zdf6pdfftGuXbuUkpKiqKgoVatWTZ07d9azzz6rihUr+jtMoFBLTExU9erVHU6rWrWqEhMTfRsQCjWSEAAAAAAAwCd4HcNDrFarDh48qBIlStibFgIAAAAA4C3GGKWlpalixYoKCQmMLh9JQnjIwYMHFR8f7+8wAAAAAABBZt++fapcubK/w3AJSQgPKVGihKRLOz86OtrP0ThntVqVlJSksmXLBkymDPAk6gCCHXUAwY46gGBHHShcUlNTFR8fb38eDQQkITzE9gpGdHR0gU9CnDt3TtHR0Zx0EJSoAwh21AEEO+oAgh11oHAKpC4BOOoAAAAAAIBPkIQAAAAAAAA+QRICAAAAAAD4BEkIAAAAAADgEyQhAAAAAACAT5CEAAAAAAAAPkESAgAAAAAA+ARJCAAAAAAA4BMkIQAAAAAAgE+QhAAAAAAAAD5BEgIAAAAAAPgESQgAAAAAAOATJCEAAAAAAIBPkIQAAAAAAAA+QRICAAAAAAD4BEkIAAAAAADgE0X8HQB86+cdSTp8LFlljhuFFQmVRdKZ8xmas+GAnm1XW1dVitH5i1Z9vDpRJ89cUNdGlZSweo861Cun/SfPqlLJKC3eekQ1yhZT6zpxkqTjp89rwZZDeqB5VUUUCdGSbUdVrUxRTV+VqOc71NGcDftVr2K0OtQrrz8PpiiuRIRCLBadu5ChIXO26O4m8br7unhJ0rrEE9p97LRKFQ3X91sOqV+bWlqXmKyKJaO040iayhQPV6eryiuiSGiW7fpp+1ElHj+tTleV15JtR3Vvk3jN3XRQzaqXVtKpdP2685j+c01FbdyXrBY1YnX8dLrqV4yxz2+M0V8HU1WlTFHtTjqt2uWKa8Oek9q8/6R6t6yuqPBQGWM0c1WiioYX0dG0c4oMC9XVlUvqQoZVDauU1Gvfb9PjN9WQRRZlGKPZ6/epQ73yuia+pCTp7PkMfbv5oNpeGacyxSMkSTuPpGnP8TNqWStWUeFZtynlzAVNXv6P7m1aRSlnL6hSySjtPXFaDeNL6Whaus6cv6iw0Et5xLjoCM3ZcEAd65dXqMWiJduOqFKpKB1NS1fbunHacSRN11QuqS/W7tPOo2nq1qiydh87rfb1yumT3/aoe+N4/Z54Ql+u26cJPRoqKjz0Urx/HFSbunGK/b94AQAAACA/LMYY4+8gCoPU1FTFxMQoJSVF0dHR/g7HqRvHLNO+5LNOp/81sqMemblWv/17wodRSd/1u0GRYaFq9/bPuZZ9/KYaGtLlSvvfO4+kqf34FXle56zHmqtZjTKSLiUxHp6x1mG5UkXDtHFYB328OlHD5v2V5/Vsf7WTIsNCVW/YQp05nyFJSnzjFh04eVYt31gmSbomvqTmPdUyy3zVXvje4fIm3NtQT3++MVuMyWcu5BhH+3rltHjrEZdiTnzjFjV6dbFOnD5v/7uwsFqtOnr0qOLi4hQSQmMwBB/qAIIddQDBjjpQuATKc2hmHHVBpkGlmBynp5674PMEhHQpCdBjymqXyn6w4t8sf//273G31rl0+1H7/7/fcshpOdvD/diFf7u1nrRzFyXJnoCw2bI/xf7/zftOury8r9bty/ZZbgkISS4nIGxsCQgAAAAA8BSSEEFm0n0N9XDT8v4Ow6Fjp3joBQAAAIDCjCQEAAAAAADwCZIQQchisfg7BAAAAABAECIJEYQKYgqC3lEBAAAAoPAjCYEsAmGsFBpyAAAAAEBgIgkRhAL9IT7AwwcAAACAoEUSIggF+kN8SKBnUQAAAAAgSJGEQIGQl9dAPJWDMD5698TQ4wUAAAAASCIJEZRyGh0jEBoZZIvfA0G7sgRPfzWB8F0DAAAAgCeRhEDA4dkdAAAAAAITSYgglNMv8IEwOgZ9QgAAAABAYCIJEYQC/RGeHAQAAAAABCaSECgQ8tJ5IzkIAAAAAAhMJCGCUKA/xOfUsSYAAAAAoOAiCRGEAv0hPrCjBwAAAIDgRRICWQRAv5TZ+4RwszfNQOiEEwAAAAAKE5IQQSjAG0IEfEsOAAAAAAhWJCGCUKA/wod4aAPIZQAAAACAb5GEQMChJQQAAAAABCaSEEEo0J/hPdUSAgAAAADgWyQhglKgP8UHevwAAAAAEJxIQgShnFpCGD8NGZGX1dISAgAAAAACE0mIIBToz/CB/joJAAAAAAQrkhBBKNCf4UM8lIXwU6MPAAAAAAhaJCEQcLyRRPFq6wqSHQAAAAAgiSREUAr01xn8NkSnh1cb4LsBAAAAAPKMJERQKniPv3lpLBDoSRQAAAAACFYkIYJQzqNj+C4Od3mqTwgAAAAAgG+RhAhCgf4ITw4CAAAAAAITSYggxEM8AAAAAMAfSEKgYMjDeyC8jgEAAAAAgYkkBAIOKQgAAAAACExF/B0AkGeXZSHc7UszL/N9s3G/TqVfdHNN2Q38arOio8LcmjcQOg8FAAAAAEdIQiDg+ON1jOdmbfbo8r5av9+jywMAAACAQMDrGCgY/JBYCNTXOugSAwAAAECgIgmBgoF3DAAAAACg0CMJAQAAAAAAfIIkRBCyBOyLCAAAAACAQEYSAlnwVgQAAAAAwFtIQgAAAAAAAJ8gCRGECuLoCv5ogEGjDwAAAADwLZIQCDjeyKF4s58Mkh0AAAAAcAlJCAQcHuoBAAAAIDCRhAAAAAAAAD5BEiII5fTigfFTOwNG5QAAAACAwo8kBAAAAAAA8AmSEAAAAAAAwCdIQgAAAAAAAJ8gCRGELN4bjRIAAAAAAKdIQiALf3UQmZcOMS/PobgbM51hAgAAAIBvkYQAROsQAAAAAPAFkhCAaBUBAAAAAL5AEgIFgiXbSxY+WCetHwAAAADAp4r4OwAAWaVfzFD6Rau/wwAAAAAAjyMJgQIhLx1TFnYtRi/TidPn/R0GAAAAAHgcr2MEIUsO7yGQCvA/EhAAAAAACiuSEAhoG/cma+bqRH+HAQAAAABwAa9jIItR32/zdwh50vXdVW7Py4gYAAAAAOBbtIRAFku2HfHLev2dEPDmSBn+3jYAAAAAKCgKfBJi7969evXVV9WyZUuVKlVKYWFhKleunLp06aLZs2e7vdy///5bDzzwgCpUqKDIyEjVrFlTAwcOVEpKigejL5gYmRIAAAAA4A8FOgnx888/q2bNmho1apTatGmjxYsXa9u2bZo8ebL++ecfde/eXffdd5+s1rwNZ7h8+XI1bNhQ69at04wZM7Rt2za99NJLev/999WoUSMdOnTIS1sEAAAAAEDwKtB9QiQnJ+vixYt6++231a9fP/vntWrV0vXXX6+6devq888/V+vWrfXoo4+6tMyTJ0+qe/fuMsbohx9+UI0aNSRJ1atXV0REhO6//3717NlTixcv9so2AQAAAAAQrAp0SwhJCg0NVa9evbJ9XrFiRd12222SpC+//NLl5U2cOFHHjh3T7bffbk9A2PTo0UMVK1bUkiVLtHLlyvwFDgAAAAAAsijQSYhbbrlFJ06cUHR0tMPplStXliSdOHHC5WV+9dVXkqS2bdtmmxYSEqI2bdpIkmbNmpXXcAOGNzthdBd9NwIAAABA4VegX8cICwtTWFiY0+m2vhsaNGjg0vJOnz6tv/76S5JUt25dh2Vsn69duzYvoQIAAAAAgFwU6CRETi5evGjvt+Gpp55yaZ7du3fbO7EsX768wzIVKlSQJO3atSvHZaWnpys9Pd3+d2pqqiTJarXmuaNMX7JarTIFcMzIvMRkkTzyHVvN//aVN78TV48JV7fJF/vv8lgK8jGdV7Y6UJi2CcgL6gCCHXUAwY46ULgE4n4M2CTERx99pMOHD+vJJ59UkyZNXJrHliiQpKioKIdlihYtKkm5DtU5evRojRw5MtvnSUlJOnfunEvx+IPVatXZM2f9HUY2Z06fcbnsxYyLOnr0aL7XefbMWftyvLnPjh8/ppD08FzLubpN58+fz29Iubo8Fk983wWF1WpVSkqKjDEKCSnQb6QBXkEdQLCjDiDYUQcKl7S0NH+HkGcBmYT4559/9Pzzz6tFixZ6++23/RLDkCFD1L9/f/vfqampio+PV9myZZ32YVEQWK1WFS3qeh8avhL1f8kfVxQJLaK4uDgPrDPKvpyoKO89ZJcpE6u4mMhcy7m6TeHhuSc08uvyWDzxfRcUVqtVFotFZcuW5cKLoEQdQLCjDiDYUQcKl8jI3J8zCpqAS0IcOnRIHTp0UK1atbRgwYI8femZkwNnzzpuDXDmzKVf5GNiYnJcVkREhCIiIrJ9HhISUuArc0HsmNKSl6As8sh3bLFYfLKvnv5ik267pmKu5VyNJU/flZsuj6WgH9N5Zdv3hW27AFdRBxDsqAMIdtSBwiMQ92FAJSEOHjyodu3aKS4uTgsWLMg1UXC56tWry2KxyBijw4cPq3bt2tnK2Dq7rFmzpkdihmv8kRixyDcrXbcnWev2JPtkXQAAAABQkAVM2mTPnj266aabFBcXpyVLlqhUqVJ5XkaxYsVUv359SdL27dsdlrF97mo/EwAAAAAAwDUBkYTYuXOnbrzxRtWsWVMLFixQ8eLF7dP++OMPderUyeVlde/eXZK0dOnSbNOsVquWLVuWpRwKngI4uAcAAAAAwAUFPgnx119/6aabblKjRo00f/78bKNanDhxQj/++GOWzxYuXKhatWqpb9++2ZbXr18/lSlTRvPmzdPu3buzTPviiy908OBBtWnTRjfeeKPnNwZOkVgAAAAAgMKvQPcJ8eeff6p169Y6duyYEhMT1bJly2xlHA1JMmnSJO3atUuTJ0/WyJEjVaZMGfu0UqVK6csvv9Qtt9yizp07a8KECapdu7aWL1+up59+WtWqVVNCQoJXtwv5UxA71gQAAAAA5K5AJyGWLFmiY8eOSZI2b97s8nwPPPCAfvnlF3Xs2DFLAsKmTZs22rhxo1555RX17NlTycnJqlSpkh577DG9/PLLKlmypKc2oUDyxegKgcCI5hcAAAAA4EsFOgnx7LPP6tlnn83zfD169FCPHj1yLFO3bl199tlnbkaGwoa8DAAAAAB4X4HvEwIAAAAAABQOJCGCUEH80Z9XIwAAAACg8CMJAQAAAAAAfIIkBAAAAAAA8AmSEAAAAAAAwCdIQgShAjkSRB66hLAUyF4tAAAAAAC5IQmBoGXoCxMAAAAAfIokBCCpYI4ZAgAAAACFC0kIBKyUsxf8HQIAAAAAIA9IQiBgffH7Xn+HAAAAAADIA5IQCDgmL71Y5mGpAAAAAADvIgmBoFUgRwkBAAAAgEKMJAQCDkN0AgAAAEBgIgkRhGgBAAAAAADwB5IQKBDokQEAAAAACj+SEAhahswHAAAAAPgUSYggVFj6VPDsayWB852QPAEAAAAQqEhCAAAAAAAAnyAJgQIh5cwFf4cQMOhYFAAAAECgKuLpBRpj9NFHH2njxo2qWrWqHnvsMcXExHh6NShkZq3b5+8QAAAAAABe5nZLiLVr1yo0NFShoaF699137Z/36NFDjz32mN59910NHjxYTZs2VWpqqkeChWcE+g/phbUlgCnAnT2s+fe4v0MAAAAAUAi4nYT48ssvVbp0aSUkJOi+++6TJC1btkxfffWVihUrpldffVUvv/yyDhw4oMmTJ3ssYKCw2pV0yt8hOLV0+1F/hwAAAACgEHD7dYwff/xRY8aMsScgJOnDDz+UxWLR+PHj9cgjj0iSypYtq48++khDhgzJf7RAITZ+8U5Nvr+Rv8MAAAAAAK9xuyXEP//8o5tuusn+98WLF7VgwQKVKFFCDz74oP3zdu3aac+ePfmLEvCCLQdS/B1CFt9vOaQNe5P9HQYAAAAAeI3bSYiIiIgs77AvXrxYKSkp+s9//qPw8PAs5c6cOZO/KOFRhbVPhbxavydZm/adlFRwvpOTZ877OwQAAAAA8Bq3kxDVq1fXihUr7H9PnDhRFotFPXr0yFJu27ZtKl++vPsRApfxZP+NK/855rmFAQAAAABy5HafEPfff7+eeeYZbd68WXv37tXChQtVpUoVde7c2V7m5MmTeu2119S8eXOPBAsUdgV4gAwAAAAAyDe3W0L06dNHDRs21KRJkzR//nxFRUXZO6aUpJEjR6pKlSpas2aNunfv7rGAAW/g4T9nBXn4UAAAAACBw+2WEFFRUVqxYoVWrFihpKQktWjRQpUqVbJPb9eunapVqyZJ6tKlS74DBWwKSv8NAAAAAIC8cTsJIUkWi0WtWrVyOK1ly5Zq2bJlfhYPBB0aHAAAAAAozNx+HcNVx44dU40aNby9GgQhi2gSAQAAAACBxOtJiIyMDO3Zs8fbq0Ee8DpDwUVDCAAAAACFmctJiKeeekrR0dEaM2bMpRlDQhQaGprrv4oVK3oteMBTSMwAAAAAgPe5nISYM2eOTp06pQULFtg/M8a49A+A51ClAAAAAAQqlzumXLx4sRYuXKi7775b0qVOKQ8dOqS4uLgc5zt8+HCWUTMAOEfSDgAAAEBh5nIS4qqrrtJVV11l/7tKlSoKDQ3NfQVFiqhKlSruRQevoEPHwMarIwAAAAACldtDdO7evdulcrGxsS6XBQAAAAAAhZdXRsdITU3VunXrdOTIEW8sHgAAAAAABCC3kxBHjhxR79691bt3b/3000/2z7/44gtVrlxZzZo1U6VKlTRw4ECPBArPoTk/AAAAAMAf3E5CzJ49WzNmzNCBAwcUFRUlSdq3b58eeeQRnTp1SjVr1lSVKlX09ttv67vvvvNYwAAAAAAAIDC5nYT45ptv9Pjjj+vHH39U8+bNJUlTpkzR2bNn1bNnT+3YsUP//vuv7rnnHk2aNMljAQOFWUEdG4NBOwAAAAB4gttJiE2bNumxxx7L8tlXX32lkJAQvfrqq/bPnnnmGW3dutX9CAEf4A0VAAAAAPA+t5MQp0+fVmxsrP3vv//+Wzt27ND111+v+Ph4++cVK1akg0oAAAAAAOB+EqJy5cr6559/7H/PmDFDFotFd999d5ZyR44cUXR0tPsRAk54ooNNU8DeMyhg4QAAAACAR7mdhLjhhhs0ZMgQbdy4UXPnztXEiRMVHh6ue++9N0u5zz77TPXr1893oAAAAAAAILAVcXfGIUOGqFGjRrruuuskXfpFeeDAgSpTpowkadmyZZo+fbo+++wzvfnmm56JFvASGiAAAAAAgPe5nYS44oortHLlSo0fP17Hjh1T27Zt9fTTT9unr127Vvv379dNN92U7RUN+JcnXmOAt5AOAQAAAFB4uZ2EkKRrrrlGM2bMcDht8ODBGjx4cH4WDwAAAAAAChG3+4Rw1blz5/Txxx97ezUAAAAAAKCA83oSIiUlRQ8//LC3VwPkC2+oAAAAAID35et1DEnasGGDvv/+ex04cEDnz5/PNv3s2bP5XQU8jAfu/wnEITEDMWYAAAAAkPKZhOjbt6/ee+89GWNksVhkLns6sn1moSdEwCUkGAAAAAAUZm4nIT7++GO99957euSRR9SsWTP17dtXr7zyiuLi4iRJBw4c0OzZs7V9+3aNGzfOYwEDnkxqBWJ+LBBjBgAAAAApH0mIqVOnasCAARo7dqwk6dlnn1W3bt1Uo0YNe5khQ4borrvu0oEDB/IfKTzGwgsZyCMaaAAAAADwBLc7ptyyZYt69OiRYxmLxaLBgwdrzpw57q4GyOby134Kk8K7ZQAAAACQjyTE+fPnVbZsWfvf4eHhOnbsWLZyMTEx2rNnj7urAYJKn083+DsEAAAAAPAat5MQVapU0e7du+1/ly9fXkuWLMlW7rvvvlNoaKi7qwG8qhA3qgAAAACAAsftPiGuvfZavfbaa/ruu+8UHh6um266SaNGjVJYWJjat28vSfrhhx80atQoNWnSxGMBI//o2BAAAAAA4A9ut4S46667tGTJEjVu3FiS1L9/f0nSCy+8oMaNG6tx48Z6+eWXde7cOQ0ZMsQz0QJesvPoKX+HAAAAAACFnttJiP/85z9avXq1EhISJEm1a9fWggULdOWVV8oYI2OMqlatqs8//1wdO3b0WMCApyUeO63fd5/wdxgAAAAAUOi5/TpGeHi4mjVrluWzm266SX/++adOnDghq9Wq2NjYfAcIXM7i4fdJNu076dHlAQAAAAAcczsJkZPSpUt7Y7EAAAAAACCAeSQJsWHDBv3888/av3+/JKly5cpq1aqVGjVq5InFA14TiINjMKIHAAAAgECVryTErl279PDDD2vlypUOp7ds2VLTp09XzZo187MaAAAAAABQCLidhNi3b59uuOEGHTlyRKGhoapRo4bKli0rY4ySkpK0e/du/frrr7rxxhu1Zs0axcfHezJu5ANDdAIAAAAA/MHt0TFeeuklnThxQqNGjdLRo0f1999/69dff9XKlSu1Y8cOHT16VK+99pqOHz+ul19+2ZMxAx5DPgYAAAAAfMftlhALFy7U66+/rgEDBjicXqpUKQ0dOlTh4eF688033Q4Q8DZahuSOfigAAAAAeILbLSHS0tJ055135lquW7duSk1NdXc1AAAAAACgkHA7CVG9enWdOXMm13Jnz55VpUqV3F0NvCDQf/gP9PgBAAAAIFi5nYTo3bu3pkyZkmu5Dz74QHfddZe7qwGy8eSbAbxlAAAAAAC+43YSYsCAATp9+rS6d++un3/+WUePHrVPO3LkiJYvX667775bW7Zs0fDhwz0S7KpVq1SnTh1ZLBYlJiZ6ZJkIXBYPdOZw5nyGZqxKzH8wAAAAAIBcudQxZWhoaI7T58yZk+P0EiVK6OLFi65HdZmzZ8/qpZde0jvvvKOMjAy3lyNJiYmJql69eo5lxo8fr2effTZf60FgeP/nXf4OAQAAAACChktJCOPHrvF37dqlLl26KD09XQsWLFCHDh08stw6deo4nVa6dGmPrKOg8kQLAgAAAAAA8sqlJITFYtGhQ4cUFxeX5xUcPnw4Xx1T/vXXX2rbtq3Gjh2r4sWLu72cy23fvt1jywIAAAAAALlzKQkRHR2tkBD3uo8IDQ1VdHS0W/NK0i233KL//Oc/bs8PAAAAAAAKBpeSEMnJyW6voGzZsvmaP7f+KJB3gf4yRqDHDwAAAADByu3RMQLd9OnT1apVK8XHxysuLk5NmjTRsGHDlJSU5O/QgBwZBhYFAAAAEKBcaglRGI0ZM0Yvvviirr32Wp05c0bffPONXn/9dU2ZMkXff/+9GjdunOP86enpSk9Pt/+dmpoqSbJarbJarV6NPT+sVqtfOxr1DPN/21Fwv2dv8sXuu/wYNv/3nRcGtjpQWLYHyCvqAIIddQDBjjpQuATifgy6JER0dLQGDRqkF198MUtfFc2aNVNcXJwGDBig22+/XTt27FDRokWdLmf06NEaOXJkts+TkpJ07tw5r8TuCVarVadOn/Z3GPly8eJFHT16VKfSTvk7FL+4cOG819dx9OjRLH+fPXMm22eBymq1KiUlRcYYt/u6AQIZdQDBjjqAYEcdKFzS0tL8HUKeBV0SonTp0hozZozDaX369NHo0aN14MABffrpp3r00UedLmfIkCHq37+//e/U1FTFx8erbNmy+eqI09usVqtK7En1dxj5UqRIEcXFxal4icBOprgrPDzc6+u4fCScyKgot0bHKYisVqssFovKli3LhRdBiTqAYEcdQLCjDhQukZGR/g4hz4IuCZGTyMhI1a9fXz///LNWrlyZYxIiIiJCERER2T4PCQkJgMoc6F07WhQSEiKLpaB/z4Hr8mPYYrEEwHHtOtv2FKZtAvKCOoBgRx1AsKMOFB6BuA8DL2IvK1++vCTpxIkTfo4EAAAAAIDCJeiSEMuWLdPevXudTj98+LAkqWTJkj6KCAAAAACA4OB2EuLjjz/OMjrE5Y4ePary5cvrvvvuK1DDXvbu3VsfffSRw2np6enaunWrJKlFixa+DMunLIH+Nsb/KSSbAQAAAABBw+0kxMMPP6yUlBSn04sVK6Z77rlHK1as0LPPPuvuatyycOFC1apVS3379nU4fdasWQ4TKO+//76SkpIUGxur+++/39thAgAAAAAQVNxOQhhjcpxerFgxvfPOO/r666+1dOlSd1cj6dKwl4cPH7a/KuHsM5tJkyZp165dmjx5so4fP55lWpEiRbR9+3a1bt1a3333nXbt2qW//vpLI0eO1MCBA1WyZEnNmTOnQI9wAQAAAABAIMrX6BgWF9r1h4WF6eTJk/lZjZo0aaI9e/Zk+axp06b2/1+eEHnggQf0yy+/qGPHjipTpkyWaWvWrNHnn3+uH374QY8//riSkpIUFhamGjVq6Omnn9Zzzz2nSpUq5SteAAAAAACQnctJiHnz5mnevHlZPnv66acVFRXldJ7Tp0/r119/1RVXXOF+hJISExPzVL5Hjx7q0aOHw2llypRR3759nb6qEQzoSwEAAAAA4A8uJyE2bdqkGTNmZPls1qxZuc4XHh6uyZMn5zkwAAAAAABQuLichLjjjjtUrVo1SZdef3jkkUc0fvx4xcTEOCwfEhKikiVLqnnz5ipbtqxHggUAAAAAAIHL5STENddco2uuucb+d+/evdWjRw/FxcV5JTB4jyt9eQAAAAAA4Gluj46xe/duWjjAL8ihAAAAAEBgcjsJUbVqVZd+UU9OTlabNm3cXQ2AAiCXEXkBAAAAwCVuJyFcdf78ef3888/eXg0QNEgIAAAAAAhULvcJMWbMGH366ad6/vnn1bNnT9WoUcOl+TIyMtwODgAAAAAAFB4uJyHGjh2r5ORkvf/+++rZs6cSExNdXgkdIQKeQ3UCAAAAEKhcTkLMmjVLc+fO1SOPPGL/bO3atYqNjc1xvqNHj6p58+buRwg4wcM4AAAAAAQWl5MQ7dq1U7t27bJ8Fh8fn+sQnZGRkTK8xA54DNUJAAAAQKByOQlxOavV6lK5cuXKuVwWvkELAgAAAACAP3h9dIzU1FT17t3b26sBAAAAAAAFnNeTEGfPntXMmTO9vRoAAAAAAFDAuf06hiRt2LBB77//vjZt2qTk5GSHw3EyRGfBw9sYAAAAAAB/cDsJsWDBAt1+++26ePFirmUZohMAAAAAALidhBg2bJiio6M1fPhwNWvWTKVLl1ZYWFi2cgzRCQAAAAAApHwkIf766y998sknuvPOO3MsV6xYMVWpUsXd1QAAAAAAgELC7Y4pixUrpsaNG+daLjY2Vrt373Z3NfAC3o4BAAAAAPiD20mIDh06aOvWrbmWO3funD7++GN3VwMAAAAAAAoJt5MQY8eO1ejRo7VmzZocy6WkpOjhhx92dzVANrTkAAAAAIDA5HafEC+//LJiYmJ0/fXXq06dOqpVq5bKlCmTbSSMs2fP5jtIAAAAAAAQ+NxOQsyYMUMWi0XGGG3fvl3bt293WpYhOgsWi9gfAAAAAADfczsJIUnjx49XTExMjmVOnjyp/v3752c1QBZ/HkjVT38fDdpUijH+jgAAAAAA3JOvJESPHj0UFxeXY5kjR47oueeey89qgGwenr5WI26r5+8wAAAAAAB54HbHlL/88ovKlCmTa7myZcsyRCfgQbzdBAAAACBQud0SomXLli6XzcjIcHc1AAAAAACgkHC7JYSrkpKSVLt2bW+vBgAAAAAAFHBut4RYsWKFS+WOHz/u7ioAOEDHlAAAAAACldtJiJtvvpmhNwMUuw0AAAAA4A/5Gh2jefPmCg8Pz/KZMUZJSUnat2+fTp06pWbNmikyMjJfQQIAAAAAgMCXryTEN99843SIzgsXLujLL7/UzJkzNXv27PysBoCfGd4BAQAAAOABbndMOXz4cBUvXtzp9LCwMN1///3q3bu3Bg8e7O5qAAAAAABAIZGvJETRokVzLdeiRQvNmzfP3dXAC+gSAgAAAADgD14fonPnzp1KTk729moAAAAAAEABl68+IZwxxig5OVnr1q3T008/rVq1anljNQAAAAAAIIC4nYQIDQ11qZwxRtOnT3d3NYBTDBELAAAAAIHF7SRETr3lh4SEKCYmRtdee6369Omjbt26ubsaeAHP7sgrEj4AAAAAPCFfr2McPnzY6RCdAAoPhugEAAAA4Alud0zZuHFjhYWFeTIWAAAAAABQiLndEmLt2rWejAM+RdP6QGZEqwQAAAAAgcnrQ3QCAAAAAABIJCGAgGOhJQsAAACAAEUSAgAAAAAA+ARJiCDEaIsAAAAAAH8gCQEEGH90TElXmAAAAAA8gSQEAAAAAADwCZIQAAAAAADAJ7yehDh27Jhq1Kjh7dUgD+gSAgAAAADgD0U8sZDTp0/r5MmTysjIyDbt6NGj2rNnjydWA2QRrB1sGjpoAAAAABCg8pWEmDBhgiZNmqRdu3Z5Kh74QJA+uyMfOGYAAAAAeILbSYhx48Zp0KBBkqSoqCiVKlVKYWFh2cplZGTowIED7kcIIAt/tACh8QUAAAAAT3A7CfHBBx+oYcOGmjFjhho0aOC03OHDh1WxYkV3VwMvCNbXGAAAAAAA/uV2EmLfvn1aunRpjgkISSpatKh69erl7mrgFWQhAAAAAAC+5/boGOXKlVPlypVzLRcdHa3p06e7uxoAAAAAAFBIuJ2EuO+++7Rw4cJcy6Wmpqp3797urgZewOsYAAAAAAB/cDsJMWLECP34448aM2aMjh496rTc2bNnNXPmTHdXAwAAAAAACgm3+4S48sorZYzRvHnzNHToUBUrVkxlypSR5bKf2TMyMvIdJDyLhhAAAAAAAH9wOwmRmJiY5e9Tp07p1KlTDstenpgAEFgMY3QCAAAA8AC3kxAWi0W///67YmNjcyx39OhRNW/e3N3VwAvICQEAAAAA/MHtJERISIiqVKmismXL5liuWLFiqlKlirurAQAAAAAAhYTbSYgLFy64VC42Nla7d+92dzXwAhpCAAAAAAD8we3RMVyVnJysNm3aeHs1AAAAAACggPN6EuL8+fP6+eefvb0a5EUh6RSicGxF3vmjk8hCcsgAAAAA8DOXX8cYM2aMPv30Uz3//PPq2bOnatSo4dJ8DNEJBD5GxwAAAADgCS4nIcaOHavk5GS9//776tmzZ7YhOnPCEJ0FC3sDAAAAAOAPLichZs2apblz5+qRRx6xf7Z27VqG6AR8jEYJAAAAAAKVy0mIdu3aqV27dlk+i4+PV1xcXI7zRUZGytCWu0ChJQQAAAAAwB/cHqLTarW6VK5cuXIulwWQO5JIAAAAAAKV10fHQMFDFx0AAAAAAH8gCQEAAAAAAHwioJIQq1atUp06dWSxWPI0OgeA/DF0hwkAAADAAwIiCXH27FkNGDBAN910k3bs2OGRZf7999964IEHVKFCBUVGRqpmzZoaOHCgUlJSPLJ8AAAAAACQVYFPQuzatUvXXnutvv76ay1YsMAjy1y+fLkaNmyodevWacaMGdq2bZteeuklvf/++2rUqJEOHTrkkfUUVBY6hQAAAAAA+IHbo2P4yl9//aW2bdtq7NixKl68eL6Xd/LkSXXv3l3GGP3www+qUaOGJKl69eqKiIjQ/fffr549e2rx4sX5XhcAAAAAAPifAt8S4pZbbtG7777rkQSEJE2cOFHHjh3T7bffbk9A2PTo0UMVK1bUkiVLtHLlSo+sryCiHQQAAAAAwB/cTkKsWLFCFy9edDr9+PHjat68uYYOHaozZ864uxqFhoa6Pa8jX331lSSpbdu22aaFhISoTZs2kqRZs2Z5dL3wAl4r8RkLqSsAAAAAHuB2EqJ169Y6ceKE0+lhYWEqV66cJk6cqIEDB7q7Go86ffq0/vrrL0lS3bp1HZaxfb527VqfxeVrPLsjrxgdAwAAAIAnuN0nhDE5P5RER0dr3rx5WrJkiR566CFNnjzZ3VV5zO7du2W1WiVJ5cuXd1imQoUKki51iJmT9PR0paen2/9OTU2VJFmtVvs6CiKr1ZrrvgsUpgB/z4Hu8mPYmOyfBSpbHSgs2wPkFXUAwY46gGBHHShcAnE/er1jykqVKikpKcnbq3GJLVEgSVFRUQ7LFC1aVJJyHapz9OjRGjlyZLbPk5KSdO7cuXxE6V1Wq1VpaWn+DsMj0tJO+TsEvzh//rzX13H06NEsf589ezbbZ4HKarUqJSVFxhiFhBT4bnEAj6MOINhRBxDsqAOFSyA+27mchFixYoWWL1+e5bNx48bl2GHk6dOntXDhQlWtWtXtAAuqIUOGqH///va/U1NTFR8fr7Jlyyo6OtqPkeXMarUq+kTBTZLkRYkSnumsNNCEhYV5fR1xcXFZ/o6Kisr2WaCyWq2yWCwqW7YsF14EJeoAgh11AMGOOlC4REZG+juEPHM5CfHTTz9p5MiRslgs9ub848aNc1o+c7n3338/n2F6RubkwNmzZx2WsXWiGRMTk+OyIiIiFBERke3zkJCQAl+ZLSGFo1MISwH/nr3GB516XH4MWyzZPwtkFoslIOoq4C3UAQQ76gCCHXWg8AjEfehyEuLmm2+2/98Yo1dffVX9+/d32hIiJCREJUuWVKtWrXT11VfnO1BPqF69uj05cvjwYdWuXTtbmUOHDkmSatas6evwAAAAAAAo1FxOQrRq1UqtWrWy//3KK69o4MCBAdVEu1ixYqpfv77+/PNPbd++XTfeeGO2Mtu3b5ckNWnSxNfh+QzDLQa4wtGvKAAAAIAg5HbbjZ9++kmlS5f2ZCw+0b17d0nS0qVLs02zWq1atmxZlnIALo2OAQAAAAD55XYSolWrVipSJPeGFKdPn9Yrr7zi7mrcsnDhQtWqVUt9+/bNNq1fv34qU6aM5s2bp927d2eZ9sUXX+jgwYNq06aNw1YShQXtIAIcOxAAAABAgPJ6LxanTp1yOJRlXiQlJenw4cM6fPhwjp/ZTJo0Sbt27dLkyZN1/PjxLNNKlSqlL7/8UpLUuXNnLVq0SLt379b06dP1+OOPq1q1akpISMhXvAAAAAAAIDuX+4Rw5ODBg5oxY4Y2bdqk5ORkZWRkZCtz/vz5/KxC0qX+Gfbs2ZPls6ZNm9r/by5rK/7AAw/ol19+UceOHVWmTJlsy2vTpo02btyoV155RT179lRycrIqVaqkxx57TC+//LJKliyZ75gLMh8MroBChrcxAAAAAHiC20mI33//Xe3bt9epU6eyJQEuZ8nnU29iYmKeyvfo0UM9evTIsUzdunX12Wef5SMqAAAAAACQF24nIQYPHqyLFy/q2WefVbNmzVS6dGmFhYVlK3f8+HE6eYRX0KDDd/iuAQAAAHhCvlpCTJw4Ub17986x3JEjR3JtKQGgYKMGAwAAAPAEtzumDA8PV+vWrXMtV65cOVmtVndXAy+gTwgAAAAAgD+4nYS48cYbtW/fvlzLXbhwQStWrHB3NfACC43rAQAAAAB+4HYS4o033tCwYcN04MCBHMudOHHCpRYTAAAAAACgcHO7T4jZs2erUqVKqlGjhtq2batatWqpTJky2UbCOHXqVL6DhGfxOgYAAAAAwB/cTkKMGDFCFotFxhgtXLjQYRnb9PwO0QkAAAAAAAKf20kISerfv7+KFy+eY5m0tDSNHz8+P6uBh5ESQl4xwA0AAAAAT8hXEmLgwIGKi4vLsczhw4f19ttv52c1APyOLAQAAACA/HO7Y8qEhASVLFky13JlypTRTz/95O5qAFyOfAAAAACAAOV2S4j777/fpXJhYWG68cYb3V0NAAAAAAAoJNxuCeGqI0eOKCwszNurAYKGoSkEAAAAgADldkuIvXv3ulTu6NGj7q4CAAAAAAAUIm4nIapVq8bQm4AfWPwyvgl1HQAAAED+5Wt0jEqVKik0NDTLZ8YYHTt2TGfOnJEkValShWRFAVNYdkdh2Q4AAAAACBb5SkKsW7fO6RCdhw8f1rRp07Rp0yZ99tln+VkNAL+jHwoAAAAA+ed2x5S9evVSVFSU0+nly5fXiy++qLZt22r48OHurgZAAWDIQQAAAADwALeTENOnT1eJEiVyLde5c2d9+umn7q4GXuCfPgUAAAAAAMHO60N0HjhwQEeOHPH2agAAAAAAQAHn1STEjh07NGDAAMXHx3tzNQAAAAAAIAC43TFljRo1nE7LyMhQcnKyTp8+LUkaM2aMu6uBFzCqRGAzdBIJAAAAIEC5nYRITEzMtUz16tXVp08fDRgwwN3VACgA6JgSAAAAgCfka4jOtWvXKjY2NtvnoaGhiomJcanjSgB5Q8eiAAAAAAKV20mIMmXKqGrVqg6TEAAKF14BAQAAAOAJbichkpKSPBkHfIjf0QEAAAAA/pCv1zEy27Jli/bs2SNJqlq1qho0aOCpRQMAAAAAgEIg30mI999/X6+99poOHTqU5fOKFSvqxRdf1BNPPJHfVQDIxB+vRtAPBQAAAABPCMnPzE888YSeeuopHTx4UMaYLP8OHDigp556iiREQVRInid5MAYAAACAwOJ2EmLOnDmaMmWKbrjhBs2ePVt79+5Venq60tPTtXfvXs2ePVstW7bU1KlT9c0333gyZiCo+WO4TDqmBAAAAOAJbr+O8d5776l79+764osvZLFk/UW6cuXKqly5srp27ap77rlH7777rrp27ZrvYAEAAAAAQOByOwmxYcMGLVq0KFsCIjOLxaJBgwapY8eO7q4GXsBLDIEthyoHAAAAAAWa269jnDlzRmXLls21XFxcnM6cOePuagAAAAAAQCHhdhKiUqVKWr16da7lfv31V1WqVMnd1QAoAPzRDwUAAACAwsftJESnTp303HPP6ffff3daZtWqVRowYIC6dOni7mrgBTm9QgMAAAAAgLe43SfEkCFD9Nlnn6lFixZq2rSpmjZtqri4OEnSkSNHtGbNGq1bt06lSpXS4MGDPRYwAN+jIQQAAAAAT3A7CVGpUiV9//336tatm9asWZOtRYQxRuXLl9ecOXN4HQMAAAAAALifhJCkFi1aaPv27frwww+1ePFi7dmzR5JUtWpVdejQQY888oiio6M9EigAAAAAAAhs+UpCSFJ0dLT69++v/v37eyIe+AA9QgQ2OokEAAAAEKjc7pjSVefOndPHH3/s7dUA8CISVwAAAAA8wetJiJSUFD388MPeXg0QNBjcBAAAAECgytfrGGfPntW8efO0YcMGJScnKyMjw2EZwBt4GPcd3gABAAAA4AluJyF27Nih9u3ba//+/TK5vKRu4WkRCGj0QwEAAADAE9xOQjzzzDM6dOiQevTooaZNmyomJsZhsuHkyZN0WgkAAAAAANxPQvz66696++231bdv3xzLHTlyRM8995y7q4EX0DAFAAAAAOAPbndMGRkZqVtuuSXXcmXLltXu3bvdXQ2Ay/BqBAAAAIBA5XYSokuXLi4lF86fP6+ff/7Z3dUAuAw5CAAAAACByu0kxLhx4zR58mRt3Lgxx3IM0QkAAAAAAKR89AlRtmxZffDBB2rXrp0uXryomjVrqnTp0tk6p2SIzoKHLiECmz/2n6H9BQAAAAAPcDsJkZiYqDZt2igxMVGStHXrVqdlGaITAAAAAAC4nYR4/vnntX//ft1///1q0qSJoqOjGaITKKxoCAEAAADAA9xOQixfvlz//e9/1adPnxzLMURnwUPLFAAAAACAP7jdMaXValXnzp1zLccQnUAhQN4KAAAAgAe4nYRo3749Q3QCAAAAAACXuZ2EeOutt/T6669r06ZNOZZjiM6Chx+1AQAAAAD+4HafEMOGDVNUVJQaN26sK6+8kiE64XPBmkzxSx+RdEwJAAAAwAPcTkLMmDFDFotFxhht3bqVIToBAAAAAECO3E5CSNL48eMVExOTYxmG6CyAyAkFNHYfAAAAgECVryREjx49FBcXl2OZffv2kYQAAhxvYwAAAADwBLc7pvzll19UpkyZXMuFhoa6uwoAAAAAAFCIuN0SomXLlrmW2b9/v9599113VwEAAAAAAAqRfL2O4ciFCxc0d+5cTZs2TUuXLpXVavX0KpBP9CmAvDKGFzIAAAAA5J/HkhB//vmnpk2bpk8++UQnTpywP7QULVqUYToBDyIdAAAAACBQ5SsJkZaWps8++0zTpk3T+vXrJV36xTQsLEwdO3bUgw8+qCZNmqhGjRoeCRYAAAAAAAQut5IQP//8s6ZNm6Y5c+bo7Nmz9lYPDRo00Pbt27V27VpdffXVkqTU1FT16tXLcxEj33gdAwAAAADgDy4nIQ4dOqQZM2boo48+0r///ivpUquH4sWL65577tGjjz6qpk2bqkSJEipevLh9vujoaE2fPt3zkQPwGYuF1BUAAACA/HM5CVGlShVZrVZ7q4emTZvq0UcfVY8ePVSsWDGvBQjA/+iYEgAAAIAnuJyEMMbIGKOyZcvqs88+U9u2bb0ZF7yIX7UBAAAAAP4Q4mrB/fv367XXXlN0dLS6dOmibt26aeHChfxCCr8hl+I71HIAAAAAnuByEqJ8+fIaOnSodu7cqYULF6po0aK68847Va1aNY0YMUL79u3zZpwAAAAAACDAuZyEyKx169ZKSEjQoUOHNGjQIH377beqXr26OnXqpAsXLmRpHXH69Gm98sorHgsY+VdYGhBY+XkeAAAAAAKKW0kIm5iYGD311FNav369fv/9d9WoUUNRUVG6/vrr9cwzz2jjxo06deqURo4c6al4Abs3f/zb3yEAAAAAAPIgX0mIzBo1aqR3331Xhw4d0rhx47R582Zdd911uuGGGzy1CiCLE6fP+zsEv6AfFgAAAACBymNJCJvIyEg9+OCDWr58ubZv367bbrvNI8tduHCh2rdvr9KlS6tYsWJq1KiRJk2aJKvVmudlWSyWHP89++yzHokZAAAAAAD8j8eTEJnVrl1bgwYNyvcvt2PGjFHnzp0VGRmpxYsXa+PGjWrfvr369eunO+64QxcvXszzMmvUqKE6deo4/FeuXLl8xVvgFZZOIYKUP4ZYpfEFAAAAAE8o4u0VxMXFaffu3W7P/8svv+iFF15QvXr1NGfOHIWFhUm6lJhITk7W1KlTNWbMGL344ot5Wu7SpUtVrVo1t+MCggk5CAAAAACe4NWWEJIUEhKiqlWruj3/iBEjJEn9+vWzJyBsBgwYIEkaO3aszp496/Y6AAAAAACA93k9CZEfSUlJWr58uSSpbdu22abXqVNHlStXVmpqqhYsWODj6AIXb2MAAAAAAPyhQCch1q1bJ6vVqrCwMNWsWdNhmbp160qS1q5dm6dlz5s3Tx07dlS1atUUGxura665Rv3799eePXvyHTdQ2JC4AgAAAOAJXu8TIj927dolSSpbtqxCQhznSypUqJClrKvGjh2rF198US1btlRGRoZ+/PFHjRo1SlOnTtWXX36pzp075zh/enq60tPT7X+npqZKkqxWq1sjdviK1WpliMdA54P9d/kxbIwp0Md1XtjqQGHZHiCvqAMIdtQBBDvqQOESiPuxQCchbA/2UVFRTssULVpUkpSSkuLycp977jkNGDBAlSpVsn/WqFEj1alTR926ddPdd9+t7du3Z5l+udGjR2vkyJHZPk9KStK5c+dcjsXXrFarUvPwXaHgOX/hgtfXcfTo0Sx/p6efy/ZZoLJarUpJSZExxmlyEyjMqAMIdtQBBDvqQOGSlpbm7xDyrEAnIbzl7bffdvj5nXfeqQYNGmjLli169913NWrUKKfLGDJkiPr372//OzU1VfHx8Spbtqyio6M9HrOnWK1WnbsYeNky/E+RImG5F8qnuLi4LH+HR0Rm+yxQWa1WWSyWHFtYAYUZdQDBjjqAYEcdKFwiIyP9HUKeFegkhO1hPqeRL86cOSNJiomJ8cg6GzVqpC1btmjlypU5louIiFBERES2z0NCQgp8ZbZYeMM/oPlg911+DFsslgJ/XOeFbXsK0zYBeUEdQLCjDiDYUQcKj0DchwU6YltnlElJSU7fdTl06FCWsvlVvnx5SdKJEyc8sryCyEI3gwHNH3uPfkQAAAAAeEKBTkI0btxYISEhunDhgtOOJ7dv3y5JatKkiUvLXL16tf7++2+n0w8fPixJKlmyZN6CBQAAAAAAOSrQSYi4uDi1atVKkrR06dJs0//++2/t379fJUqUUKdOnVxa5pAhQzR69Gin0zdu3ChJatGihRsRAwAAAAAAZwp0EkKShg8fLkmaNGmSLl68mGXaW2+9JUkaOHCgfZQMSdqwYYPq1aun7t27Z5tHkr7//nsdO3Ys2+fz5s3TH3/8oYiICD3xxBOe3AwAAAAAAIJegU9CtGrVSqNGjdJff/2lrl27asOGDdqxY4deeOEFTZ06VV26dNGQIUOyzPPRRx9p27Ztmj17tjZv3pxlWpEiRXTs2DG1atVKX375pXbs2KEdO3bonXfe0YMPPqjIyEglJCSoevXqvtxM36JLCAAAAACAHxTo0TFshg4dqoYNG+qtt95SmzZtdOHCBV1xxRV655139NRTTyk0NDRL+e7du2vWrFmqV6+e6tevn2Xa3Llz9dVXX+nbb7/VoEGDdOjQIYWEhCg+Pl7333+/nn32WdWpU8eXmwcUeHRLCQAAAMATAiIJIUmdO3dW586dXSrbqlUrJSUlOZxWvHhxPfzww3r44Yc9GR7gMyQEAAAAAASqAv86BjyPtzEC29aDqf4OAQAAAADcQhICCDDpF60+XyeJKwAAAACeQBICQDY9pqzO8jevgAAAAADwBJIQQYhftZGb3/494e8QAAAAABRCJCEA5I6mEAAAAAA8gCQEAAAAAADwCZIQQcjC+xgAAAAAAD8gCQEAAAAAAHyCJAQAAAAAAPAJkhAAAAAAAMAnSEIEIQuDdCKPDMNjAAAAAPAAkhAAcmXIQQAAAADwAJIQAAAAAADAJ0hCBCPexgAAAAAA+AFJCAC5spC4AgAAAOABJCEAAAAAAIBPkIQIQvyoDQAAAADwB5IQAHLF6BgAAAAAPIEkBIBckYQAAAAA4AkkIYIQnQwCAAAAAPyBJAQAAAAAAPAJkhAAAAAAAMAnSEIAAAAAAACfIAkRhOgSAgAAAADgDyQhAOTKiOExAAAAAOQfSQgAAAAAAOATJCGCkIUxOgEAAAAAfkASAgAAAAAA+ARJCAAAAAAA4BMkIQAAAAAAgE+QhACQK8PgGAAAAAA8gCQEAAAAAADwCZIQAAAAAADAJ0hCAAAAAAAAnyAJAQAAAAAAfIIkBIBc0S8lAAAAAE8gCQEAAAAAAHyCJASAXDFEJwAAAABPIAkBAAAAAAB8giQEAAAAAADwCZIQAHJlsfg7AgAAAACFAUkIAAAAAADgEyQhAAAAAACAT5CEAJArRscAAAAA4AkkIQC4gCwEAAAAgPwjCQEAAAAAAHyCJAQAAAAAAPAJkhAAAAAAAMAnSEIAAAAAAACfIAkBAAAAAAB8giQEgFwxRCcAAAAATyAJAQAAAAAAfIIkBAAAAAAA8AmSEAAAAAAAwCdIQgAAAAAAAJ8gCQEAAAAAAHyCJAQAAAAAAPAJkhAAcsUInQAAAAA8gSQEAAAAAADwCZIQAAAAAADAJ0hCAMiVMbyQAQAAACD/SEIAAAAAAACfIAkBAAAAAAB8giQEgFzxMgYAAAAATyAJAQAAAAAAfIIkBIBcWfwdAAAAAIBCgSQEAAAAAADwCZIQAAAAAADAJ0hCAAAAAAAAnyAJASBXjI4BAAAAwBNIQgDIlSELAQAAAMADAiYJsXDhQrVv316lS5dWsWLF1KhRI02aNElWq9Wt5R06dEhPPPGEqlSpooiICFWpUkVPPPGEDh486OHIAQAAAACAFCBJiDFjxqhz586KjIzU4sWLtXHjRrVv3179+vXTHXfcoYsXL+ZpeVu3blWDBg00b948jR8/Xtu3b9f48eM1d+5cXX311dq6dauXtgQAAAAAgOBVxN8B5OaXX37RCy+8oHr16mnOnDkKCwuTdCkxkZycrKlTp2rMmDF68cUXXVrexYsX1a1bNx0/flwrV67U9ddfL0mqXr26ypcvrxtuuEF33XWX/vjjDxUpUuC/HgAAAAAAAkaBbwkxYsQISVK/fv3sCQibAQMGSJLGjh2rs2fPurS8zz//XNu3b1ezZs3sCQibli1bqnnz5tq2bZtmzZqV/+ABAAAAAIBdgU5CJCUlafny5ZKktm3bZptep04dVa5cWampqVqwYIFLy/zqq6+cLk+S2rVrJ0kkIQAAAAAA8LAC/b7BunXrZLVaFRYWppo1azosU7duXe3fv19r167VnXfemesy16xZY5/P2fIkae3atW5GDRQ+fx9O08I/D/k7DI+wWo1SUlMUc9SqkBCLv8MBfI46gGBHHUCwow64Li46Uo2qlPJ3GIVOgU5C7Nq1S5JUtmxZhYQ4brRRoUKFLGVzcurUKR09elSSVL58+RyXd/jwYZ05c0ZFixZ1WC49PV3p6en2v1NTUyVJVqvV7RE7fMFqtcow3iLy6HDqOT3xyQZ/hwEAAAD4TKf65fTu/Y38HUaOCvKzpzMFOglhe7CPiopyWsaWJEhJSXF5eTktM3PSISUlxWkSYvTo0Ro5cmS2z5OSknTu3LlcY/EXq9WqlJQUDWhVWW/9vN/f4djVio3SP8dc69dDkoqGhejMBe9VuKiwEJ314vLzo1rpSCWecH6MhVqkDA/nmRpUKCZLYUmUG+lixkUVCS0iFZZtAvKCOoBgRx1AsKMOuKx8MYv9R+yCKi0tzd8h5FmBTkIUZEOGDFH//v3tf6empio+Pl5ly5ZVdHS0HyPLmdVqlcVi0ZPty+qpjg38HQ7gc1arVUlJSTm2sAIKM+oAgh11AMGOOlC4REZG+juEPCvQSQjbw3xOI1+cOXNGkhQTE+Py8nJapm15uS0zIiJCERER2T4PCQkp8JXZYrEERJyAt1AHEOyoAwh21AEEO+pA4RGI+7BAR2zrjDIpKcnpuy6HDh3KUjYnxYsXV1xcnKRLfT7ktLzy5cs7fRUDAAAAAADkXYFOQjRu3FghISG6cOGC044nt2/fLklq0qSJS8ts2rRplvnyuzwAAAAAAOCaAp2EiIuLU6tWrSRJS5cuzTb977//1v79+1WiRAl16tTJpWV2797d6fIkacmSJVnKAQAAAAAAzyjQSQhJGj58uCRp0qRJunjxYpZpb731liRp4MCBWV6d2LBhg+rVq6fu3btnm+fee+/VFVdcoTVr1mjVqlVZpq1atUq//fab6tSpo3vvvdcbmwMAAAAAQNAq8EmIVq1aadSoUfrrr7/UtWtXbdiwQTt27NALL7ygqVOnqkuXLhoyZEiWeT766CNt27ZNs2fP1ubNm7NMCwsL09dff63SpUurW7dumjNnjhITEzVnzhx169ZNpUuX1uzZs1WkSIHusxMAAAAAgIBT4JMQkjR06FD98MMPOnv2rNq0aaOGDRvqxx9/1DvvvKP58+dnSxh0795dsbGxuummm1S/fv1sy7vqqqv0xx9/6LbbbtMzzzyjOnXq6JlnntFtt92mP/74Q1dddZWvNg0AAAAAgKBhMcYYfwdRGKSmpiomJkYpKSlZhgItaKxWq44ePaq4uLiAHM4FyC/qAIIddQDBjjqAYEcdKFwC5Tk0M446AAAAAADgEyQhAAAAAACAT5CEAAAAAAAAPkESAgAAAAAA+ARJCAAAAAAA4BMkIQAAAAAAgE+QhAAAAAAAAD5BEgIAAAAAAPgESQgAAAAAAOATJCEAAAAAAIBPFPF3AIWFMUaSlJqa6udIcma1WpWWlqbIyEiFhJCDQvChDiDYUQcQ7KgDCHbUgcLF9vxpex4NBCQhPCQtLU2SFB8f7+dIAAAAAADBJC0tTTExMf4OwyUWE0gpkwLMarXq4MGDKlGihCwWi7/DcSo1NVXx8fHat2+foqOj/R0O4HPUAQQ76gCCHXUAwY46ULgYY5SWlqaKFSsGTMsWWkJ4SEhIiCpXruzvMFwWHR3NSQdBjTqAYEcdQLCjDiDYUQcKj0BpAWETGKkSAAAAAAAQ8EhCAAAAAAAAnyAJEWQiIiI0fPhwRURE+DsUwC+oAwh21AEEO+oAgh11AP5Gx5QAAAAAAMAnaAkBAAAAAAB8giQEAAAAAADwCZIQAAAAAADAJ0hCAAAAAAAAnyAJAQAAAAAAfIIkBAAAAAAA8Iki/g4A3pOenq4FCxZo7dq12rVrl1JSUiRJMTExqlmzppo0aaJOnTopMjLSz5ECALzBGKN//vnH4TWgVq1aslgsfo4QAAAEG5IQhZDVatWYMWM0duxYpaamSrp0I5qZ7cazRIkSGjRokF544QWFhNAwBoUPD2EIRomJiRo9erS+/vprJScnOyxTsmRJdevWTUOGDFH16tV9HCHgO1wHEOyOHz+uDRs2OKwDjRo1UpkyZfwcIYKNxVz+dIqAZoxR165dNX/+fElS5cqVVbduXVWoUEFFixaVJJ05c0aHDh3S9u3btX//flksFt1yyy2aN28eF2IUGjyEIVh98cUX6t27t86dO5fl84iICEmXWsld/vm0adN03333+SxGwBe4DiDYrVq1SiNHjtRPP/2kjIwMh2VCQkLUunVrDR8+XC1btvRxhAhWJCEKmcmTJ6tfv3569NFHNWDAAF1xxRU5lt+xY4fGjRunDz/8UBMnTtRTTz3lo0gB7+EhDMHq999/V8uWLVWmTBn17t1b7dq1U926dVW+fHl7azer1arDhw9r+/btWrx4sT766COdOHFCK1euVNOmTf28BYBncB1AsHvzzTf1wgsv2FtDh4eHq1y5cll+lDxy5IjOnz8v6VIr6ddff12DBw/2W8wIHiQhCpnGjRurQ4cOGj16dJ7me+GFF7R48WKtX7/eS5EBvsFDGIJZ165ddeTIES1YsEAxMTEuzXPy5El17txZ5cqV09y5c70bIOADXAcQ7H788Ud17txZ9erV09NPP6127dqpRo0aDsv++++/Wrx4sSZMmKDt27frhx9+UMeOHX0cMYINSYhCpnjx4tq0aZNq1aqVp/l27typRo0aKS0tzUuRAb7BQxiCWVxcnL755ps8N6lduXKl7rjjDiUlJXkpMsB3uA4g2HXo0EERERH65ptvVKSIa10AXrx4UXfccYfOnz+vRYsWeTlCBDs6pixkIiIidOrUqTzPd+rUKYWFhXkhIsC3Vq5cqW+++cblG0/p0jvB48aN0x133OG9wAAfOHXqlCpWrJjn+SpWrKjTp097ISLA97gOINitX79eixcvdjkBIUlFihTRyJEj1b59ey9GBlzCcAiFTOPGjTVixAinnc84YrVaNXz4cF133XVejAzwDR7CEMxq1KihefPm5Xm+b775hk75UGhwHUCwS09PV3R0dJ7ni4mJ0YULF7wQEZAVSYhCpn///po/f74aNmyoqVOnateuXU7L7tq1S1OmTNG1116r77//XgMGDPBhpIB38BCGYHbvvfdq8ODBGjNmjEuv16WlpWnMmDEaMmQIHfKh0OA6gGBXt25dTZ8+Pc/zffTRR7l2ag94Aq9jFDKdOnXS6NGjNWTIED3xxBOSpLCwMJUtW1ZRUVGSpLNnzyopKcme6TTGaNSoUXRCg0LB9hCWnp6uPn36qESJEjmWT0tL07vvvqthw4Zp2LBhPooS8I6BAwdq3rx5Gjp0qEaOHKnGjRvbO+TLfA2wdci3fv16paenq1GjRho4cKCfowc8g+sAgt3DDz+sp59+WidOnNBzzz3n0mh548eP15QpUzRhwgQfRYlgRseUhdQvv/yiESNG6Oeff5bVanVYJiQkRK1atdLw4cN10003+ThCwDvOnz+vG264QevXr1dERESeHsJWrlyp8PBwP28BkD+nT5/WM888oxkzZshqtcpisTgsZ4xRSEiIevXqpXfeeUfFixf3caSAd3AdQLAzxuj222/Xd999J4vFoooVK+ZYBw4ePChjjLp06aJvv/3W6XUD8BSSEIXcsWPHtG7dOu3atUupqamSpOjoaNWsWVONGzdW2bJl/Rwh4Hk8hAHS3r179fXXX2vNmjUOrwFNmzZVt27dVLVqVT9HCnge1wEEu4yMDI0ePVpvvvmm/fW8y+uB7TGwePHiGjhwoIYOHarQ0FCfx4rgQxICQKHFQxgABDeuAwh2Z8+e1cKFC3OsA506dVLRokX9HCmCCUkIAAAAAADgE3RMCQBAIXfu3DmlpKRIujQEW2RkpJ8jAgAAwYokBICgwEMYgonVatWsWbM0a9YsrV27VocPH84yvXz58mrSpInuvvtu9ejRQyEhjNiNwo/rAIJZenq6du/enaUOVKtWjXoAv+B1DACFEg9hCFbbt2/XXXfdpW3btim3S7zFYlHdunU1e/ZsXXnllT6KEPANrgMIdmlpaZo0aZJmzZqlv/76K9uIeSEhIapfv77uvvtu9e3bV9HR0X6KFMGGJASAQoeHMASrQ4cO6eqrr9bx48fVvHlztWvXTnXr1lWFChXsnY6dOXNGhw4d0vbt27VkyRL99ttvio2N1ebNm1WhQgU/bwHgGVwHEOxWrFih7t2769ixYy7VgdjYWH355Zdq1aqVjyJEMCMJAaBQ4SEMwezJJ5/U3Llz9fXXX+v66693aZ5Vq1bprrvu0u2336733nvPyxEC3sd1AMFux44datiwoaxWq7p27ZprHVi8eLHmzp2rkJAQbdiwQXXq1PHzFqCwIwkBoFDhIQzBrGrVqvrvf/+rrl275mm+OXPm6LnnntOePXu8FBngO1wHEOwefPBBrVu3Tj/88IOqV6/u0jz//vuvbrnlFl133XVKSEjwcoQIdiQhABQqPIQhmEVGRurvv/9W1apV8zTfnj17VLduXZ09e9ZLkQG+w3UAwa5ixYqaOXOm2rdvn6f5Fi1apIceekgHDx70UmTAJfTAA6BQOXLkiBo1apTn+Ro3bqyjR496ISLAd8qVK6eNGzfmeb4NGzYoLi7OCxEBvsd1AMEuOTlZV1xxRZ7nu+KKK5ScnOyFiICsSEIAKFR4CEMw69y5s5566imtWbPG5Xl+++039e3bV507d/ZiZIDv/P/27j0qqnL9A/h3QC4DAiGSw+VEQBGKNxAv6UlRC8M0r6SWCkSa4vGYHc3KpdJJzEwi62TqEtECMoXsYpiJqAF6AEU0MRCRi5cZE7kLCjHv7w8P83McUDCYqZnvZy3W0vey32fv2eP2fdj73bwOkKFzdnbGkSNH2t3v8OHDcHZ27oSIiNR10XUAREQdqXkS5uDggMGDB7epT/MkbPz48Z0cHVHnCg8PR0JCAoYOHYrBgwdj9OjR8PT0hEwmg1QqBQDU19dDoVAgLy8PBw8eREZGBrp164ZVq1bpOHqijsHrABm6SZMmYeHChTAzM8O0adPa1Oerr77CokWL8Oqrr3ZydERcE4KI9IxCoUDv3r1RUVHR7knY6dOnuSo6/eWdPXsWU6ZMQX5+PiQSyT3bCiHg4eGBxMREeHl5aSlCos7F6wAZuurqanh7e6O4uBiOjo7w8/O753fg8OHDuHLlClxcXJCTkwNra2sd7wHpOyYhiEjvcBJGhq6pqQnx8fFISEhARkaGxnPuDz/8MAYNGoTAwEDMmDEDXbrwxkjSL7wOkKFTKBSYNWsWDh48CACtfg+ap4IjR45EbGwsk3CkFUxCEJFe4iSM6P/duHED1dXVAABra2tYWlrqOCKizsfrABGQlpaG3bt3IyMjA4WFhWrXAnd3d9V34KmnntJxpGRImIQgIoPASRgRkWHjdYCI6M+BSQgiIiIiIiIi0gred0ZERKSHLl26hISEBGRlZaGwsBBVVVUAABsbG7i7u2PgwIGYMmUK/va3v+k4UiIiIjIkvBOCiPQWJ2FkiOrq6rB48WJs27YNSqUSrV3mJRIJjIyMEBISgqioKN6aTnqJ1wEydMeOHcNXX311z+9AYGAghg0bpuNIyZAwCUFEeoeTMDJUDQ0NGD58ODIzM2FmZoaBAwfC09MTDg4OsLCwAHD7+yGXy5GXl4esrCzcunULAwcORGpqKkxNTXW8B0Qdg9cBMnRXr17F7NmzkZycDAD3/A4AwOjRo/H5559DJpNpLUYyXExCEJFe4SSMDFlERATeeecdvPPOO1iwYMF93/VeXV2N//znPwgPD8eqVauwfPlyLUVK1Hl4HSBDV11djQEDBqCwsBCOjo4YNWrUPb8DKSkpuHLlCtzc3JCdnX3fawfRHyaIiPTI6tWrhYmJiVizZo2oqqq6b/uqqioREREhTExMxOrVq7UQIVHn8fLyEh9++GG7+61fv1706tWrEyIi0j5eB8jQLV26VFhZWYn4+HihVCrv216pVIq4uDhhZWUlli5dqoUIydDxTggi0iu9e/dGaGgoFi9e3K5+kZGR2LZtG3JzczspMqLOZ2FhgdzcXLi6urarX1FREby8vFBXV9dJkRFpD68DZOgee+wxrFixAkFBQe3qFxMTg4iICJw/f76TIiO6zUjXARARdaQLFy5g4sSJ7e43efJkFBUVdXxARFrUtWtXyOXydveTy+Xo2rVrJ0REpH28DpChu3z5Mvz8/Nrdb+TIkbh8+XLHB0R0FyYhiEivcBJGhmzYsGF44403UFNT0+Y+NTU1eOONN7gyOukNXgfI0Nna2qKgoKDd/QoKCmBra9sJERGp4+MYRKRXJk2ahGvXrmHfvn2wsrJqU5+amhoEBATA3t4ee/bs6eQIiTpPRkYG/v73v8Pe3h4hISGqxchkMhmMjY0BAE1NTVAoFMjLy8PBgwcRExODsrIypKenY9CgQTreA6I/jtcBMnQzZ85EdnY29u3bBxcXlzb1KSkpQUBAAHx8fBAbG9vJEZKhYxKCiPQKJ2Fk6OLj4xEaGoqGhga18jvP/2ZCCJiammLr1q2YOXOmVuMk6iy8DpChO3fuHLy9vQEAEydOVPsOSKVSAEB9fb3ad+Dbb78FAJw8eRIeHh46i50MA5MQRKR3OAkjQ3fhwgVERERgz549qKysbLGNjY0NJk+ejLfffhvu7u7aDZCok/E6QIbu8OHDCAwMxPXr1yGRSO7ZVggBOzs77Nq1CyNHjtRShGTImIQgIr3ESRgRoFQqce7cORQWFqK6uhoAYG1tDXd3d3h4eMDIiEtDkf7idYAMXVVVFT7++GMkJCQgNzcXSqVSrV4ikcDLywuBgYFYuHAhHnroId0ESgaHSQgi0muchBERGTZeB4iAuro6FBUVqX0HXF1dYWFhoePIyBAxCUFERGRgrK2tkZOTAzc3NwDAjRs3EBkZiZUrV+o4MiIiItJ3TEIQEREZGCsrK5w6dUqVhLh69SocHR3VnpMn0kfl5eXYsWMHMjMzUVFRAVtbWwwdOhRBQUGwtrbWdXhEHa6iogLm5uaqBSmbnTp1Clu3bsWlS5cgk8kwZcoUPP300zqKkgwNkxBEpJeio6Oxa9culJeXo2/fvggLC8OAAQM02gUEBOCnn34CcPvZyN9//13boRJpnZWVFU6fPg1XV1cATEKQftmyZQtWr16NHj16ICsrS1X+ww8/YObMmaiurkbzf3+bF+zr3r07EhIS8NRTT+kkZqKOlpmZiVdffRWnT5+GRCKBn58foqOj4eLigqSkJEyaNAm///47hBCq78E///lPREVF6ThyMgRMQhCR3pk5cya+/PJL3PnPm0QiQVhYGCIjI2Fqaqoq/+WXX3D9+nXMmzcPBQUFnITRX1bzXQ1tUVpaCkdHR3Tp0gXA7TcFXLp0iec/6YWJEydi//79WLlyJd566y0AwNmzZzFgwADcunULHh4eGDBgAKysrHD16lWcPXsWBQUFeOihh3Dy5Em4uLjoeA+I/pji4mL07dsXtbW1qjKJRIL+/fsjJSUFnp6esLa2hqenJ4yMjJCfn4+8vDxIJBIkJSVhzJgxOoyeDAGTEESkVxITExEYGAgrKyuMHz8ezs7OkMvlOHDgABQKBYYNG4akpCRYWVmp9Rs4cCCys7M5CaO/LCMjI0gkEjzoZV0ikfD8J73g7u6OhQsX4rXXXlOVhYSE4JtvvsHOnTtbnGAlJSUhODgY06ZNwyeffKLFaIk63vz58/Hll19i/fr1ePLJJ5Gbm4t//etfuHLlCpYvXw4fHx9MnDhRrc+PP/6IWbNmYfjw4UhMTNRN4GQwuug6ACKijrRt2zZ4eHjg0KFDcHBwUJU3NTUhOjoaS5cuxahRo5CcnAwbGxsdRkrUsRYtWoRPPvkEjzzyCNauXQuZTNZiOyEExo4di61bt8LJyQkAcP36dQQGBmozXKJOo1AoMHbsWLWy1NRUrF27ttXf8I4dOxaRkZF45513tBEiUadKTk7G2rVr8corrwAAvLy8YGtrizFjxkAmk2kkIADg2Wefxdq1axEeHq7dYMkg8U4IItIrMpkMGzduxOTJk1usP3/+PPz9/eHg4IADBw6oXk3FOyFIH2RkZOCVV17BlStXEBkZieDg4BbbcWFK0me2trbIyclRe6zCzs4OaWlp6NmzZ6v9SktL8cQTT6C+vl4bYRJ1GqlUilOnTsHDw0NV1tjYCKlUipycHPTu3bvFfsXFxfD09MTNmze1FSoZKL4YmYj0Snl5Ofr3799q/WOPPYb09HRUVFRg/PjxuHXrlvaCI+pkgwcPRnZ2NhYuXIh58+bB398fxcXF9+1nbGyMRx55pPMDJNKCxx9/HKdOnVIrk8lkKCsru2e/3377TeMNAkR/RVKpFI2NjWplTU1NEELc8/89t27dgrGxcWeHR8QkBBHpl65du6KysvKebRwcHJCcnIzS0lJMmjRJ40JN9FdmYmKC8PBwnDhxAtXV1ejduzeioqLuuVZE9+7dUVRUpMUoiTrPpEmTEBERgYaGBlXZuHHjEBkZ2WofpVKJd999F97e3toIkahT/e1vf8MPP/ygVrZ3715YWloiISGh1X4JCQlMSJNWMAlBRHqlV69e+O677+7bztHREcnJycjNzcW0adP4ak7SO15eXjh27BjeffddrFixAkOGDMGZM2d0HRZRp1u0aBF+++03jBgxAgcPHoRSqcSbb76J06dPY+DAgdi+fTsyMzNx/vx5pKenY+PGjejXrx/27t2LefPm6Tp8oj9s1KhRWLlyJVatWoV9+/YhMjISc+bMwbJly/DBBx9g5cqVar+wqampQUREBP7973/jmWee0V3gZDC4JgQR6ZV3330X7733HtavX4/Zs2eja9eu92xfUFCAESNG4OrVqwDAZ+JJLxUVFWHOnDlITU3FG2+8gaioKJw+fbpdr/Uk+ispKCiAv78/SktLYWZmhkcffRT19fUoKSmBRCLRaC+EwJw5c7B582YdREvUsUpKStCrVy+1tR2cnJyQl5eHGTNmYO/evQCAHj16QCKRQKFQAAAsLS1x6tQpuLq66iRuMhxMQhCRXrl48SLc3d3x+++/o0uXLigvL79vIiI3Nxd+fn4oLy9nEoL0WvMbYqqqqlBQUMAkBOm1uro6rFmzBjExMZDL5a228/DwwPLlyzFr1iwtRkfUuVJSUrB48WKcP38e/fr1w2effYZ+/fqhsrISY8aMQVZWllr7Hj16IC4uDqNGjdJRxGRImIQgIr3z888/o6KiAsDt54DbsshSbm4ukpOTsWjRos4Oj0inFAoFfvrpJ0yZMgWWlpa6Doeo0ymVSpw5cwanT5/GtWvXUFdXB6lUCgcHB3h7e8PT01PXIRJpXUpKCk6cOAHgdiLO39+fC7OS1jAJQURERERERERawYUpiYiIiIiIiEgrmIQgIiIiIiIiIq1gEoKIiIiIiIiItIJJCCIiIiIiIiLSCiYhiIiIdGD16tWQSCSqn+3bt+skjps3b6rF8eijj3bIdsPDw/8U+6ePgoOD1Y7t4cOHdR0SERFRmzEJQUREdJfy8nKEh4dj4MCBsLGxgampKRwcHODj44NZs2Zh8+bNyMvL+0NjLF68GHK5HC+88EIHRf1gzM3NIZfLkZmZ2aHbXbJkyX33LyIiAt26dUNKSkqHjq3vNmzYALlcjieffFLXoRAREbVbF10HQERE9Gdy9uxZjB49Gjdu3MCSJUsQEBAAmUyG2tpaZGVl4b333kNsbCy8vLxw5syZBx7H0tISlpaWf4r3sstkMty8ebNDt9m1a1d07dr1nvsXHx+PiooKfP311xg1alSHjq/PbGxsVMkxIiKivxomIYiIiO4wZ84cKBQK7Ny5E9OmTVOr69mzJ/z9/eHt7a2j6PTL0qVLsWnTJoSEhOg6FCIiItISPo5BRET0P1VVVTh69CgAICAgoMU2MplMIzlBDyY4OBj//e9/MWDAAF2HQkRERFrCJAQREdH/KJVK1Z8vX77carsVK1YgMTGxxbq6ujqsWbMG/fv3Vz1u4enpiZCQECQlJamNcbe0tDSMHDkSVlZWsLa2xrhx45Cfn99q++LiYsydOxcuLi4wNTWFvb09xo4di/3797fa59SpU5gwYQJsbW1haWkJX19f7Nixo9X23bt3b3XRyrsXSCwuLm51O3c6fPiwWr/g4GC1Y3B33aVLl/Diiy+ie/fukEql8PX1RVJS0j2Py8yZM/Hwww/D3NwcHh4eWLFiBerq6h54Ec7du3djxIgRkMlkMDU1haurK4KCgrB37140NjZqtL948SIWLFgANzc3mJmZwdraGgMGDMCSJUuQk5Oj1rasrAwbN26Ev78/XFxcYGZmhocffhgTJkxAWlpam2O82y+//IIXX3wRDg4OqnVNAgMDO3z9DyIionYRREREpOLo6CgAiBEjRgiFQtGuvlevXhV9+/YVJiYmYs2aNSI/P1/k5uaKjz/+WFhbWwsA4ptvvlHrExQUJACIkJAQMWbMGJGRkSHy8/PFunXrhLGxsXBychI1NTUaY6WmpgobGxthb28vYmNjxblz58SBAwfEkCFDBACxdu1ajT6HDh0SUqlU2NraipiYGFFUVCSysrJEYGCgCA0NFQCEi4uLxj5lZma2WFdZWSnkcrlwdnYWAERRUZHGmM37FxMToyq7deuWkMvl4qOPPhIARFBQkKquoaFBre65554Tw4YNE3v37hUXLlwQu3fvFt26dRPGxsYiKytLY7zc3FxhZ2cnzMzMRFRUlCgsLBSnT58WYWFhws/PTwAQAIRcLhe//fab5ofYgrfeeksAEK+//rrIyckRFy5cEN9//73o27evACAOHTqk1v7o0aPC1tZWyGQyERcXJ4qKisTx48fFa6+9phq/srJS1f69994TAERYWJg4ceKEKCoqEikpKWLcuHHCyMhIxMfHtxjXiBEjWhxfCCESEhKEqampcHNzE998840oKCgQ3333nXjiiSeEsbGxiI2NbdO+ExERdTQmIYiIiO6wadMm1URRKpWKl156SSQmJorq6ur79g0ICBAAxLp16zTq4uPjBQCxZ88etfLmSbqtra2ora1Vq5s8ebIAIL744gu18oqKCtGjRw8BQBw7dkytrr6+Xjg4OAgjIyORmZmpKq+rqxNOTk4CgPj222/V+jQ1NQlvb+8WEw1CCFFUVNRqnRBCuLi4tCsJ0SwmJkYjCXF3HQCRnp6uVrdhwwYBQISGhmr08/HxEQDEhg0bNOomTJig2mZb1dfXC3Nzc+Hl5aVRd/HiRSGRSNSSAJWVlcLBwUFIJBKRkZGh0Wfu3LkCgKioqFCVbdy4UcyYMUOjbWNjo/D09BTdu3cX9fX1GvWtJSEKCwuFhYWFMDU1FSUlJWp1crlcSKVSYWFhIUpLS++z90RERB2Pj2MQERHd4dVXX8Wnn36Kbt26ob6+HnFxcZgyZQrs7OwwatQobNy4EdXV1Rr9srOzsW/fPpiYmGDevHka9VOnToWjoyNMTExaHPeFF16ApaWlWtngwYMBQOP2/ejoaFy9ehVPPvkkhgwZolZnbm6O4OBgKJVKbNy4UVWekJCAy5cvw8nJCc8//7xaHyMjIyxYsKD1g6JDTzzxBIYOHapW1tpxSU1NRXZ2NkxNTREaGqqxrYULF7Z7/JqaGty8eRPXr19HXV2dWp2zszO2bt2Kxx9/XFUWHR0NuVyOwYMHY9CgQRrbCw0NhY2NDSQSiaps/vz5iI+P12jbpUsX+Pr6oqysDBkZGW2OOSoqCnV1dZgyZQoeeeQRtTqZTIaJEyeirq4O27Zta/M2iYiIOgqTEERERHcJCwvDxYsXERsbi6lTp+Khhx5CY2MjDh06hAULFsDd3R3ff/+9Wp+ffvoJAODp6QkrKyuNbZqYmODy5ct47rnnWhzzscce0yjr1q0bAKCioqLFsXx9fVvclpubGwAgPT1dVXbkyBEAaHURyJ49e7ZYrmvtOS7N++jp6amR0AEebB/t7e3Rp08fKBQK+Pr6IiYmBlVVVar6l19+GU5OTqq/N382AwcObHF7gwYNQmVlJWxsbNTKU1JSMHXqVLi6usLGxkb1itOdO3cCuPcaJXd7kPODiIhIW5iEICIiaoGFhQVeeukl7N69G2VlZThy5Ajmz58PCwsLlJWVYfr06SgpKVG1b/6zvb39A41nZ2enUdaly+03aTc1NamVl5aWAgA2b96smqze+dP8G/87J66XLl26Z3wymeyB4u5sLR2X5rtJ7j4unbWPe/bswdChQ/Hrr7/i5Zdfhr29PZ5++ml88cUXuHXrllrbBzkP1q9fj9GjRyMjIwMrV67Ezz//jJycHOTk5KjuWmloaGjz9prPj7fffrvF8+ODDz4A0L7EBhERUUfpousAiIiI/uyMjY0xfPhwDB8+HEuWLIGvry8qKirw5Zdf4s033+yQMe68Pb+tFixYgLCwsHZtUwjR7nHupzO22exBjktHx+Pu7o709HQcP34ccXFxSEhIwMGDB3Hw4EGsW7cO+/btg7Oz8wNtWy6X4+233wZw+w0cdz9e09JdNW0VERGBCRMmtFrf2qNBREREnYlJCCIiojusWbMGo0ePVq07cDc3NzdMnz4dn332mdorKV1cXAAA165d6/QYXVxckJeXByFEi48rtKR5ktxafAqFotW+xsbGADTvPGhWVlbWphg62x/Zx7bw9fWFr68vPvzwQxw4cAALFy7EmTNnsGzZMsTFxQH4/8+mrefB0aNH0djYCGtra40ExINycXFBfn4+unTp0ubzg4iISFv4OAYREdEdtmzZgqSkpHu2MTc3B6B+y72/vz8AIC8vDzU1NRp96uvr8eyzz2LLli1/OMbmsTIzM1usF0LgmWeewZIlS1RlI0aMAACcOHGixT6//vprq+M1r19w9xoMwO3f5N+9YKOuNO9jfn4+amtrNervtY+tKSsrQ3BwMG7evKkqk0gk8Pf3R3R0NADg5MmTqrr7fTZZWVl4+umnVQtNKpVKAK3fvfEgj0zcL4ba2loMGjQIH374Ybu3TURE9EcxCUFERHSXzz//XG3xwTvV1tZiz549kEgkmDRpkqrcx8cHAQEBaGxsxKZNmzT6bd++Hfv374e3t/cfji80NBQymQzHjh3D0aNHNerj4uKQnJwMPz8/VdnUqVPh5OSEK1eu4LvvvlNrr1Qq8emnn7Y6nrW1NVxdXXHjxg3k5eWp1f2Z3rDw1FNPwcfHBw0NDS3G9cknn7R7m7W1tdixYwdSU1M16hobGwFA7Q0UzZ9NZmZmi0mA9evX4+TJk+jfvz+A23dXSCQS1NTUIC0tTa3t5cuXW/x872fx4sWwtLTEnj17UFRUpFH/0Ucf4fjx43jmmWfavW0iIqI/ikkIIiKiO0gkEhQXF2PIkCGIiYnB2bNncenSJWRnZ2PLli3w9fVFcXExwsPD4ePjo9Z3+/bt6NOnD5YvX473338fBQUFOHv2LD744AO8/vrrWLZsmeqtCfX19VAoFKivrwcAVFVVQaFQoKmpCU1NTVAoFKpEyN1tbWxs8PXXX8PGxgYTJkxAdHQ0Lly4gDNnzmDNmjWYM2cOFi5ciHHjxqlik0qliI2NhVQqRXBwMHbs2IGSkhKcOHEC06dPh7W1NQCoxi4vL1fbt+a1J4KDg5Geno7i4mJ89tlnyM7OVk3Cr127pnrkoba2tsX9q6+vR0NDQ4v7V1tbe999v3btmupRh7vbAsAXX3wBOzs7LFu2DBs2bFAdl3/84x+qt2o8iODgYMTExODXX39FYWEhEhMTMXfuXEilUoSHh6va3fnZTJw4ETt37kRJSQmOHz+OV155BYmJifj8889hZmYGAHB1dVW90nXGjBnYtWsXCgsLsX//fjz77LOqR2DuPD+a/9y8WGV5ebna311dXREbGwulUonRo0dj165dKCkpwcmTJ7F06VKsWrUK69evR58+fR74eBARET0wQURERCpXrlwRmzZtEjNmzBBeXl7C2tpaGBkZCQsLC+Hh4SFmz54t0tLSWu1fW1srVq9eLfr06SOkUqno1q2bGDp0qNi5c6dQKpWqdjExMQKAxk9RUZEoKipqsS4mJkZtrNLSUhEWFiYeffRRYWpqKmQymfDz8xO7d+9WG+tOOTk5Yvz48cLGxkaYm5uLXr16ibVr14pz586pjTV48GC1fkqlUrz//vvCzc1NmJiYCGdnZ7Fs2TJx8+ZN4eLiota3sbFRrFq1qtV9OHToUIt1q1atuu++3z0WABEUFKQW64ULF8SLL74o7OzshJmZmfD09BTr1q0TjY2NAoCQSCRtPh+USqU4cuSICAsLEz179hRSqVR1LsydO1cUFBS02K+0tFTMnz9f9dk4OTmJ559/XmRmZmq0bWpqElFRUaJXr17C1NRUWFpaCl9fX7F582Yxe/ZsjfMjKCioxWN06NAhte3m5uaK2bNnCycnJ2FqaiqcnZ3F2LFjRXJycpv3n4iIqKNJhOjEJa2JiIiI/iRqampgbW0NW1tbjTs9iIiISDv4OAYRERHpjbS0NPz4448t1p09exYA0K9fP22GRERERHdgEoKIiIj0RnJyMhYtWqRaNPJOzW8mCQkJ0XZYRERE9D9MQhAREZFeOXfuHCZPnozU1FSUlpYiOzsbCxYswLZt2zB9+nTMmjVL1yESEREZLK4JQURERHqjtLQUsbGxSEpKQnFxMa5duwZzc3P07dsXISEhCAkJgUQi0XWYREREBotJCCIiIiIiIiLSCj6OQURERERERERawSQEEREREREREWkFkxBEREREREREpBVMQhARERERERGRVjAJQURERERERERawSQEEREREREREWkFkxBEREREREREpBVMQhARERERERGRVvwf7FWTHgdg+p8AAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='sequestration', resource='Power', transport='Grid')\n", - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='sequestration', resource='CO2', transport='carbon')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='AqOff',\n", - " location='sequestration', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='production', resource='Power', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='sequestration', resource='CO2', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'consumption', 'Grid', 0): 1.0,\n", - " ('generation', 'consumption', 'carbon', 0): None,\n", - " ('generation', 'consumption', 'hydrogen', 0): None,\n", - " ('generation', 'production', 'Grid', 0): 1.0,\n", - " ('generation', 'production', 'carbon', 0): None,\n", - " ('generation', 'production', 'hydrogen', 0): None,\n", - " ('generation', 'sequestration', 'Grid', 0): 1.0,\n", - " ('generation', 'sequestration', 'carbon', 0): 1.0,\n", - " ('generation', 'sequestration', 'hydrogen', 0): None,\n", - " ('production', 'consumption', 'Grid', 0): None,\n", - " ('production', 'consumption', 'carbon', 0): None,\n", - " ('production', 'consumption', 'hydrogen', 0): 1.0,\n", - " ('production', 'production', 'Grid', 0): None,\n", - " ('production', 'production', 'carbon', 0): None,\n", - " ('production', 'production', 'hydrogen', 0): None,\n", - " ('production', 'sequestration', 'Grid', 0): None,\n", - " ('production', 'sequestration', 'carbon', 0): 1.0,\n", - " ('production', 'sequestration', 'hydrogen', 0): None}" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_min'].output['X_T']" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "results_mean = load_results('scenario_mean.pkl')\n", - "results_min = load_results('scenario_min.pkl')\n", - "results_max = load_results('scenario_max.pkl')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'AqOff', 0): 0.0,\n", - " ('consumption', 'H2_Comp', 0): 1.0,\n", - " ('consumption', 'LiI', 0): 0.0,\n", - " ('consumption', 'LiI_discharge', 0): 0.0,\n", - " ('consumption', 'NGCC', 0): 0.0,\n", - " ('consumption', 'PEM', 0): 0.0,\n", - " ('consumption', 'PV', 0): 0.0,\n", - " ('consumption', 'SMRH', 0): 0.0,\n", - " ('consumption', 'WF', 0): 0.0,\n", - " ('generation', 'AqOff', 0): 0.0,\n", - " ('generation', 'H2_Comp', 0): 0.0,\n", - " ('generation', 'LiI', 0): 0.4848769907648726,\n", - " ('generation', 'LiI_discharge', 0): 100.0,\n", - " ('generation', 'NGCC', 0): 0.0,\n", - " ('generation', 'PEM', 0): 0.0,\n", - " ('generation', 'PV', 0): 1.7731674837272056,\n", - " ('generation', 'SMRH', 0): 0.0,\n", - " ('generation', 'WF', 0): 30.949758553126795,\n", - " ('production', 'AqOff', 0): 0.0,\n", - " ('production', 'H2_Comp', 0): 0.0,\n", - " ('production', 'LiI', 0): 0.0,\n", - " ('production', 'LiI_discharge', 0): 0.0,\n", - " ('production', 'NGCC', 0): 0.0,\n", - " ('production', 'PEM', 0): 2.827254735651682,\n", - " ('production', 'PV', 0): 0.0,\n", - " ('production', 'SMRH', 0): 0.0,\n", - " ('production', 'WF', 0): 0.0,\n", - " ('sequestration', 'AqOff', 0): 0.0,\n", - " ('sequestration', 'H2_Comp', 0): 0.0,\n", - " ('sequestration', 'LiI', 0): 0.0,\n", - " ('sequestration', 'LiI_discharge', 0): 0.0,\n", - " ('sequestration', 'NGCC', 0): 0.0,\n", - " ('sequestration', 'PEM', 0): 0.0,\n", - " ('sequestration', 'PV', 0): 0.0,\n", - " ('sequestration', 'SMRH', 0): 0.0,\n", - " ('sequestration', 'WF', 0): 0.0}" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_mean.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'AqOff', 0): 0.0,\n", - " ('consumption', 'H2_Comp', 0): 1.0,\n", - " ('consumption', 'LiI', 0): 0.0,\n", - " ('consumption', 'LiI_discharge', 0): 0.0,\n", - " ('consumption', 'NGCC', 0): 0.0,\n", - " ('consumption', 'PEM', 0): 0.0,\n", - " ('consumption', 'PV', 0): 0.0,\n", - " ('consumption', 'SMRH', 0): 0.0,\n", - " ('consumption', 'WF', 0): 0.0,\n", - " ('generation', 'AqOff', 0): 0.0,\n", - " ('generation', 'H2_Comp', 0): 0.0,\n", - " ('generation', 'LiI', 0): 7.231174357970505,\n", - " ('generation', 'LiI_discharge', 0): 100.0,\n", - " ('generation', 'NGCC', 0): 5.624818578564747,\n", - " ('generation', 'PEM', 0): 0.0,\n", - " ('generation', 'PV', 0): 31.371860905082634,\n", - " ('generation', 'SMRH', 0): 0.0,\n", - " ('generation', 'WF', 0): 22.2440271378379,\n", - " ('production', 'AqOff', 0): 0.0,\n", - " ('production', 'H2_Comp', 0): 0.0,\n", - " ('production', 'LiI', 0): 0.0,\n", - " ('production', 'LiI_discharge', 0): 0.0,\n", - " ('production', 'NGCC', 0): 0.0,\n", - " ('production', 'PEM', 0): 2.827254735651682,\n", - " ('production', 'PV', 0): 0.0,\n", - " ('production', 'SMRH', 0): 0.0,\n", - " ('production', 'WF', 0): 0.0,\n", - " ('sequestration', 'AqOff', 0): 1.5870425619420432,\n", - " ('sequestration', 'H2_Comp', 0): 0.0,\n", - " ('sequestration', 'LiI', 0): 0.0,\n", - " ('sequestration', 'LiI_discharge', 0): 0.0,\n", - " ('sequestration', 'NGCC', 0): 0.0,\n", - " ('sequestration', 'PEM', 0): 0.0,\n", - " ('sequestration', 'PV', 0): 0.0,\n", - " ('sequestration', 'SMRH', 0): 0.0,\n", - " ('sequestration', 'WF', 0): 0.0}" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_min.output['Cap_P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'AqOff', 0): 0.0,\n", - " ('consumption', 'H2_Comp', 0): 1.0,\n", - " ('consumption', 'LiI', 0): 0.0,\n", - " ('consumption', 'LiI_discharge', 0): 0.0,\n", - " ('consumption', 'NGCC', 0): 0.0,\n", - " ('consumption', 'PEM', 0): 0.0,\n", - " ('consumption', 'PV', 0): 0.0,\n", - " ('consumption', 'SMRH', 0): 0.0,\n", - " ('consumption', 'WF', 0): 0.0,\n", - " ('generation', 'AqOff', 0): 0.0,\n", - " ('generation', 'H2_Comp', 0): 0.0,\n", - " ('generation', 'LiI', 0): 0.24119938183317938,\n", - " ('generation', 'LiI_discharge', 0): 100.0,\n", - " ('generation', 'NGCC', 0): 0.0,\n", - " ('generation', 'PEM', 0): 0.0,\n", - " ('generation', 'PV', 0): 0.0,\n", - " ('generation', 'SMRH', 0): 0.0,\n", - " ('generation', 'WF', 0): 20.63553427636549,\n", - " ('production', 'AqOff', 0): 0.0,\n", - " ('production', 'H2_Comp', 0): 0.0,\n", - " ('production', 'LiI', 0): 0.0,\n", - " ('production', 'LiI_discharge', 0): 0.0,\n", - " ('production', 'NGCC', 0): 0.0,\n", - " ('production', 'PEM', 0): 2.827254735651682,\n", - " ('production', 'PV', 0): 0.0,\n", - " ('production', 'SMRH', 0): 0.0,\n", - " ('production', 'WF', 0): 0.0,\n", - " ('sequestration', 'AqOff', 0): 0.0,\n", - " ('sequestration', 'H2_Comp', 0): 0.0,\n", - " ('sequestration', 'LiI', 0): 0.0,\n", - " ('sequestration', 'LiI_discharge', 0): 0.0,\n", - " ('sequestration', 'NGCC', 0): 0.0,\n", - " ('sequestration', 'PEM', 0): 0.0,\n", - " ('sequestration', 'PV', 0): 0.0,\n", - " ('sequestration', 'SMRH', 0): 0.0,\n", - " ('sequestration', 'WF', 0): 0.0}" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results_max.output['Cap_P']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/scenario_min.ipynb b/examples/publication/scenario_min.ipynb deleted file mode 100644 index 9e54e715..00000000 --- a/examples/publication/scenario_min.ipynb +++ /dev/null @@ -1,1735 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Master Energy Systems MILP Case Study" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport, VaryingTransport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_11860\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston_min = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')[:24]" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# solar_houston_min = calculate_hourly(data = solar_houston, what = 'min', column_name= 'PV_Power')[:24]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "wind_houston_min = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)[:24]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# wind_houston_min = calculate_hourly(data = wind_houston, what = 'min', column_name= 'feedin_power_plant')[:24]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)])[:1] #, stretch = True" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_11860\\364513858.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value\n", - "ercot = ercot[:24]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 1, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW', storage_cost = 0.01)\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=4953, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=4953, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=3.5, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "location_generation_min = Location(name='generation', processes= {PV, WF, LiI, NGCC}, \n", - " capacity_factor={PV: solar_houston_min, WF: wind_houston_min}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_production = Location(name='production', processes= {PEM, SMRH}, price_factor={\n", - " CH4: ng_price_df[:1]}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_consumption = Location(name='consumption', processes= {H2_Comp}, scales=scales, label='site for production', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)\n", - "\n", - "location_sequestration = Location(name='sequestration', processes= {AqOff}, scales=scales, label= 'site for sequestration', \n", - " expenditure_scale_level=0, demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "H2_pipeline = Transport(name= 'hydrogen', resources= {H2}, trans_max= bigM, trans_loss= 0.01, capex= 2, vopex = 0.04\n", - " , label= 'Pipeline for hydrogen transportation', varying = [VaryingTransport.DETERMINISTIC_CAPACITY])\n", - "\n", - "CO2_pipeline = Transport(name= 'carbon', resources= {CO2}, trans_max= bigM, trans_loss= 0.01, capex = 1, vopex = 0.02\n", - " , label= 'Pipeline for carbon dioxide transportation')\n", - "\n", - "Grid = Transport(name= 'Grid', resources= {Power}, trans_max= bigM, trans_loss= 0.01, capex = 0.5, vopex = 0.03, label= 'Power Transmission')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "distance_matrix = [\n", - " [20, 45, 100],\n", - " [0, 60, 50]\n", - " ]\n", - "\n", - "transport_matrix = [\n", - " [[Grid], [Grid, CO2_pipeline], [Grid]],\n", - " [[],[CO2_pipeline], [H2_pipeline]], \n", - " ]\n", - "\n", - "\n", - "network_min = Network(name= 'Network', scales = scales, source_locations= [location_generation_min, location_production], \n", - " sink_locations= [location_production, location_sequestration, location_consumption], \n", - " distance_matrix= distance_matrix, transport_matrix= transport_matrix, transport_capacity_factor= {(location_production, location_consumption): {H2_pipeline: ercot}}, transport_capacity_scale_level = 2) \n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# # plot_location.demand_factor(resource=Power, location=houston)\n", - "\n", - "# plot_location.capacity_factor(process=PV, location=location_generation_max)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation_max)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "locset = [location_production, location_generation_min, location_sequestration, location_consumption]\n", - "demand_dict = {i: {H2_C: 1} if i == location_consumption else {H2_C: 0} for i in locset}\n", - "\n", - "\n", - "# scenario = Scenario(name='scenario_full', network=network, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - "# network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand= demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "scenario_min = Scenario(name='scenario_min', network=network_min, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case(min)', demand=demand_dict, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "casestudy = CaseStudy(name = 'casestudy', scenarios= [scenario_min])#, scenario_max, scenario_min, scenario_mean])" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint storage cost\n", - "constraint storage cost location\n", - "constraint storage cost network\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint inventory network\n", - "constraint resource export\n", - "constraint transport export\n", - "constraint export\n", - "constraint transport capacity UB\n", - "constraint transport capacity LB\n", - "constraint transport capex\n", - "constraint transport network capex\n", - "constraint transport export network\n", - "constraint transport vopex\n", - "constraint transport network vopex\n", - "constraint transport fopex\n", - "constraint transport network fopex\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario_min': }" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 5526 rows, 6017 columns and 11395 nonzeros\n", - "Model fingerprint: 0x2f98f9e6\n", - "Variable types: 5959 continuous, 58 integer (58 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e-02, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [1e+00, 1e+06]\n", - "Presolve removed 5109 rows and 5804 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 417 rows, 213 columns, 1080 nonzeros\n", - "Variable types: 213 continuous, 0 integer (0 binary)\n", - "\n", - "Root relaxation: objective 3.575060e+06, 188 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 3575059.9465 3575059.95 0.00% - 0s\n", - "\n", - "Explored 1 nodes (188 simplex iterations) in 0.03 seconds (0.01 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 3.57506e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 3.575059946459e+06, best bound 3.575059946459e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = casestudy.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'LiI_Power_stored', 0): 0.0,\n", - " ('generation', 'LiI_Power_stored', 0): 0.059163047469245555,\n", - " ('production', 'LiI_Power_stored', 0): 0.0,\n", - " ('sequestration', 'LiI_Power_stored', 0): 0.0}" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_min'].output['Inv_cost']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cap_F : established capacity of transport mode\n", - " Size=18, Index=Cap_F_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('generation', 'consumption', 'Grid', 0) : 0 : 0.41699999978300184 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Grid', 0) : 0 : 2.827254735651682 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'hydrogen', 0) : 0 : 1.2438926325412467 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_min'].Cap_F.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Grid': {'Power'}, 'hydrogen': {'H2'}, 'carbon': {'CO2'}}" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.transport_resource_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_transport_vopex : transport capex calculation\n", - " Size=18, Index=constraint_transport_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('generation', 'consumption', 'Grid', 0) : 0.0 : Vopex_transport[generation,consumption,Grid,0] - 3.0*Exp_F_network[generation,consumption,Grid,0] : 0.0 : True\n", - " ('generation', 'consumption', 'carbon', 0) : 0.0 : Vopex_transport[generation,consumption,carbon,0] : 0.0 : True\n", - " ('generation', 'consumption', 'hydrogen', 0) : 0.0 : Vopex_transport[generation,consumption,hydrogen,0] : 0.0 : True\n", - " ('generation', 'production', 'Grid', 0) : 0.0 : Vopex_transport[generation,production,Grid,0] - 0.6*Exp_F_network[generation,production,Grid,0] : 0.0 : True\n", - " ('generation', 'production', 'carbon', 0) : 0.0 : Vopex_transport[generation,production,carbon,0] : 0.0 : True\n", - " ('generation', 'production', 'hydrogen', 0) : 0.0 : Vopex_transport[generation,production,hydrogen,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'Grid', 0) : 0.0 : Vopex_transport[generation,sequestration,Grid,0] - 1.3499999999999999*Exp_F_network[generation,sequestration,Grid,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'carbon', 0) : 0.0 : Vopex_transport[generation,sequestration,carbon,0] - 0.9*Exp_F_network[generation,sequestration,carbon,0] : 0.0 : True\n", - " ('generation', 'sequestration', 'hydrogen', 0) : 0.0 : Vopex_transport[generation,sequestration,hydrogen,0] : 0.0 : True\n", - " ('production', 'consumption', 'Grid', 0) : 0.0 : Vopex_transport[production,consumption,Grid,0] : 0.0 : True\n", - " ('production', 'consumption', 'carbon', 0) : 0.0 : Vopex_transport[production,consumption,carbon,0] : 0.0 : True\n", - " ('production', 'consumption', 'hydrogen', 0) : 0.0 : Vopex_transport[production,consumption,hydrogen,0] - 2.0*Exp_F_network[production,consumption,hydrogen,0] : 0.0 : True\n", - " ('production', 'production', 'Grid', 0) : 0.0 : Vopex_transport[production,production,Grid,0] : 0.0 : True\n", - " ('production', 'production', 'carbon', 0) : 0.0 : Vopex_transport[production,production,carbon,0] : 0.0 : True\n", - " ('production', 'production', 'hydrogen', 0) : 0.0 : Vopex_transport[production,production,hydrogen,0] : 0.0 : True\n", - " ('production', 'sequestration', 'Grid', 0) : 0.0 : Vopex_transport[production,sequestration,Grid,0] : 0.0 : True\n", - " ('production', 'sequestration', 'carbon', 0) : 0.0 : Vopex_transport[production,sequestration,carbon,0] - 1.2*Exp_F_network[production,sequestration,carbon,0] : 0.0 : True\n", - " ('production', 'sequestration', 'hydrogen', 0) : 0.0 : Vopex_transport[production,sequestration,hydrogen,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_min'].constraint_transport_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{Member of Cap_F} : established capacity of transport mode\n", - " Size=18, Index=Cap_F_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('production', 'consumption', 'hydrogen', 0) : 0 : 1.2438926325412467 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_min'].Cap_F['production','consumption','hydrogen',0].pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Power': ['Grid'], 'H2': ['hydrogen'], 'CO2': ['carbon']}" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.resource_transport_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Grid': {'Power'}, 'hydrogen': {'H2'}, 'carbon': {'CO2'}}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.transport_resource_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'generation': {'CH4',\n", - " 'CO2',\n", - " 'CO2_Vent',\n", - " 'LiI_Power_stored',\n", - " 'Power',\n", - " 'Solar',\n", - " 'Wind'},\n", - " 'sequestration': {'CO2', 'CO2_AQoff', 'Power'},\n", - " 'production': {'CH4', 'CO2', 'CO2_Vent', 'H2', 'H2O', 'O2', 'Power'},\n", - " 'consumption': {'H2', 'H2(C)', 'Power'}}" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.location_resource_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 36, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Exp_F_network : total resources transported mode through between locations over network scale\n", - " Size=18, Index=Exp_F_network_index\n", - " Key : Lower : Value : Upper : Fixed : Stale : Domain\n", - " ('generation', 'consumption', 'Grid', 0) : 0 : 10.007999999999997 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'consumption', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'Grid', 0) : 0 : 67.85411365564038 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'production', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('generation', 'sequestration', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'consumption', 'hydrogen', 0) : 0 : 24.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'production', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'Grid', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'carbon', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n", - " ('production', 'sequestration', 'hydrogen', 0) : 0 : 0.0 : None : False : False : NonNegativeReals\n" - ] - } - ], - "source": [ - "casestudy.formulations['scenario_min'].Exp_F_network.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "148960.83110245763" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_min'].divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_min'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='generation', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_min'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='sequestration', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_min'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='production', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='PEM',\n", - " location='production', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyQAAAHtCAYAAADocrpRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAABwL0lEQVR4nO3dd3gU1fv38U96AiQhQEKX3kUpgqJSpAlBBSmKoDSlSLGADcsXUMGKhaJIERBQlCYWQEBAEZAignQ0JBRJIAgklNCy5/mDZ/eXZXeTJQlMSN6v68p1wZwzM/fsnJ2Ze2fOHB9jjBEAAAAAWMDX6gAAAAAA5F0kJAAAAAAsQ0ICAAAAwDIkJAAAAAAsQ0ICAAAAwDIkJAAAAAAsQ0ICAAAAwDIkJAAAAAAsQ0ICAMjVjDE6ePDgNV1HfHy8Ll68eE3XAQC5FQlJHnPu3DlNnjxZ0dHRKlmypIKDgxUcHKwSJUqoYcOGGjBggKZPn57tJ+8ePXrIx8fH6S+nWb58uUuM06ZNy/b15MTPYs6cObrnnnsUERGhoKAglS5dWq1atdKkSZOsDs2tsmXLunyG9r8mTZq41F+1apXH+tdqP7tz9913O623bNmy12W9edmePXt0++236/PPP8+w7po1a/TMM8/o1ltvVWRkpAICAlSoUCHVqlVLjz32mKZMmaJDhw65nXfp0qWqWbOmfv/992yJ+7vvvlOhQoXUunXrGzLRWb9+vUqUKKF69erp5MmTVofjFWOMJk6cqAYNGigsLEzBwcEqW7as2rVrp3nz5lkdXp5xvc7F11uPHj0UFhaWY8+rVvMxxhirg8D18ffff+v+++/Xnj17VKpUKXXu3Flly5ZVUFCQ/v33Xy1dulRr16511J8xY4YeffTRbFn3unXrFBMTo9WrV2vixImSLh/8c5KEhAQtX75ckvTYY49JkqZOnaoePXpk63py2mfx5ptv6rXXXlNoaKgGDhyo8uXLa9euXRo/fryKFSumuLg4y2Lz5Ntvv9Xp06edPsOXX35Z1apVU9GiRdWiRQun+keOHNGyZcskSSNHjtTu3btVpEgRffjhh5KkO++8U+XLl7/mcS9dulRHjx7V/PnztWDBApUpUyZHfr65xW+//ab7779f5cuX16JFi1S0aFG39Q4ePKj+/fvrhx9+UFRUlNq3b69q1aqpQIECOnr0qNauXavFixfr0qVL8vHxUcOGDfXSSy+pdevWjmWcPn1aHTt21KpVqzRr1ix16NAhS7Hfd999+vHHHyVJmzZtUt26dbO0vOtt4MCBGj9+vCRp7ty5bj+PadOmKS4uTrVq1VK7du2uc4SunnjiCU2ZMkVFixZV//79Vbx4cW3atEmTJk1So0aNtGrVKqtDzBOu17k4O6xatUqrVq1SwYIF9cwzz3isd+zYMUVGRkqSbr75Zm3btu06RXgDMcgTzpw5Y8qWLWskmd69e5vz58+7rTd9+nTj6+trJJlJkyZlexxTp041kkxOb3r2GKdOnXrN1pETPovExEQTGBhoJJmFCxc6lb300kumTJky1gTmpbSf4cqVK72ap3HjxkaSpds2bNgwy2PI7f7++29TqFAhU6pUKXPkyBGP9bZv325KlSrlODaeOXPGbb29e/eaW2+91dHeunfv7lLnzJkzplatWiY4ONisW7cuS/EvWLDAREREmObNm3s8Xudka9euNcWKFTO1a9c2//33n9s69u+iu8/yevvrr78c+3br1q1OZZ07dzaNGze2JrA87nqci7Piao7ljz76qClQoIAZP378tQ/sBuR/PZMfWGf69OmKi4tTWFiYPv74YwUGBrqt161bN61YsULTp0+/zhHCCr///rsuXLggSS6POr300kt64oknLIgKyLrHH39cx48f18SJExUVFeW2zokTJxQdHa1Dhw6pS5cujrtt7lSqVEnLli3TzTffrKNHj7qtky9fPk2cOFG33367unfvrm3btnk81makXbt2OeKuQWY1aNBA8fHxVofhtV9++UWSFBERoVtuucWpbOzYsTp79qwVYSEXmTFjhtUh5Gj0Ickj7Afb6tWrKyQkJN26Xbp0uR4hIQc4fvy4499hYWFOZeHh4apQocL1DgnIsm+//Va//vqrKlWqpPbt23usN3DgQB04cEChoaH66KOPMlxuZGSkXn311XTr1KtXT/fcc4/27t2rTz/99GpDh0Xsx8Irj4OSVKRIEd10003XOyQgTyEhySP+++8/SVJiYmKGdW+//Xa99957uv322691WLCYzWazOgQg240bN06S9PDDD3t8acQ///yj2bNnS5I6d+7seL47I126dMnwRRT2H3VISG4cHAsBa5GQ5BERERGSpH379mnDhg3p1g0PD9dzzz2nmjVreqxjjNGXX36pVq1aqWjRoo630TRo0EAvvviiNm7c6FVcmzdvVvv27RUVFaXg4GDVqFFD77//vlcnh5UrV6pTp04qUaKEAgMDVaRIETVu3Fhjx47V+fPn05336NGjGjRokMqWLavg4GCVLFlSjzzyiLZu3ZrufHfccUe6b3RKSEjI9reDJCcn6/XXX1ft2rUVFhamfPnyqWLFinr88cczjNcT+5u+evbs6ZiW0dufLl68qPHjx6tx48YqUqSI421cXbp00Zo1a9Jdz5VvFNu5c6e6deum0qVLy9/f31FmZQfv9N7ElTauadOmefVmr7lz56pJkyYKDw9XaGioateurdGjR+vSpUvpxnHlsu0dOWfNmqVGjRqpcOHC6a53+/bteuKJJ1S+fHmFhIQoIiJC9evX19tvv60zZ85k+DmkjbtAgQKqUaOGXn31VZ0+fVrDhw93iW/Lli0uy0hISNDzzz+v6tWrK3/+/CpQoICqVaumQYMGad++fS713X3206ZN0+nTpzV06FBVrFhRwcHBKlasmLp165buWwATExO1YsUKSdI999zjsd6UKVMcx5n7778/w8/FrnDhwvr666/TfZzRvl/27NmjzZs3e71syX37urIzdZMmTdx+X1esWKGWLVuqUKFCypcvn+rWraupU6de1frdWbZsmdq1a6fixYsrMDBQ4eHhuv322/XCCy+4nE887cu07G/Js9+5nz59errfOburbVfesH+WI0aMkCTt378/w+/26dOn9dZbb6l+/fqKiIhQSEiIKlSooCeeeELbt29Pdz1X7rN169apffv2KlGihPz8/K7qzYueljl37lw1b95ckZGRCg4OVqVKlfTSSy8pOTnZZRnuvtNxcXGOFz2UK1dOgYGBHttiZs4LaeWkc/HatWvVtWtX3XTTTQoKClJoaKhq1qyp3r176/vvv1dqaqqjrv3c5qndpF2fp/3kyf79+/X000+ratWqyp8/v8LCwnTrrbfqlVde0bFjx9zO4+m8MXHiRNWtW1cFChRQwYIF1bJlS6eXF+UoVndiwfUxevRoR+ewUqVKmSVLlmR6WSdPnjT33HOPkWRKly5t/ve//5lJkyaZ//3vf6ZSpUqO9Tz55JMu86bthLxs2TJTunRp8+qrr5opU6aY5557zoSEhBhJZuDAgR7Xn5qaagYOHGgkmUKFCpmXXnrJTJkyxYwcOdJUq1bNSDI1atQwBw4ccDv/9u3bTVRUlJFkqlSpYt5++20zadIk079/f1OwYEGzZMkSjx3plixZYmbMmGEaNmxoJLl0dExJSTEzZswwM2bMyLAznjed2rds2WKKFy9uJJkWLVqYsWPHmokTJ5oePXoYf39/4+PjY95//32P83uydu1aM2PGDNOnTx9HDPa4Z8yYYRYsWOBU/+DBg6ZmzZpGkqlWrZp56623zKRJk8xTTz1l8uXLZySZwYMHG5vNluF6Vq5caYoUKWIGDhxoJk2aZF566SUTHBxsJJnY2Nir2o7s7NSekJBgZsyYYVq3bm0kGV9fXzN58mQzY8YMc/r0aUe9mJgYM2PGDNOlSxcjyYwbN84sXbrUaVkDBgwwkoyfn5/p1auXmThxonnvvfdMnTp1TPPmzc2rr77qsSOkfR9UrVrV0eF3wIABpnLlymbUqFHms88+M23atHHb/kaPHm38/PyMv7+/Y72jR4829evXd3xft2/f7vGzSS/uypUrm0GDBhlJpkiRIo44jx8/7rSMZcuWmbCwMOPj42M6duxoJkyYYD755BPToUMH4+PjY4KCgsxXX33l9rNP+70ZN26cqVWrluncubOZOHGief/99x3f79KlS5sTJ0643YbZs2c7lpFeZ/Y77rjDUW///v0e62WGzWZzfC/efffdq5rX3r4+/PBDj2176dKlZsaMGebBBx90tKPp06ebcuXKmTfffNNMnjzZ9OnTx/j5+RlJmTpG2I0YMcJIMsWKFTMvvPCCmThxonn33XdNs2bNHPG99957jvru9uWVx8AFCxY4tfGGDRs6HX+u/M4Zk7l25Y0rP8u0bXvGjBku3+1t27aZ0qVLG0mmfv36ZvTo0WbixImmV69ext/f3/j5+ZkPPvggw/WUKVPGfPnllyYyMtK88MILZtKkSWbAgAGOfZaZ2MuUKWOGDBliwsPDzXPPPWcmT55sRowYYW666SYjyZQrV87lvLh161YzY8YM8/LLLzv2148//miKFStmunfvbiZOnGjeeOMNExER4dIWM3tesMsp52KbzWaGDBliJJl8+fI5zk2jRo0yTZs2dcxfrVo1xzz2c5undjNjxgwTExPjcT95Mnv2bMf5sGPHjubTTz81Y8eONS1atDCSTEREhFm1apXLfO7OG48//rhp0KCBGTNmjPn0009Ny5YtjSQTGBho1qxZ4zEGq5CQ5BHHjh0zRYoUcXyxJJlatWqZDz744KpOxqmpqY5kpGbNmi4XBefPnzft27c3kkzbtm1d5k97AVmjRg2zb98+p/KZM2c6LgY9XZzaL+ZKlCjhcnA9d+6c40R52223mYsXLzqVnzlzxpQrV85IMnfccYc5e/asU/m6descJ5v0DmDdu3d3exBMK6sJSXx8vImMjDSSzKuvvupS/tNPPzneiHZlAuEtb5KiM2fOOC4Emzdvbs6dO+dUvmXLFlOgQAEjyQwfPjzD9VSsWNFs3LjRqfzNN9/MckLy7bffmsTExAz/7rzzznRPCr/88otjmV9//bXHdTds2NDcfvvtLtM//fRTx/zz5893Krt06ZJp3769Y7+md2KyJ04lS5Y0DRs2NCkpKY6y1NRUU7lyZaf2Z/8s/Pz8XH5wSE1NNd26dTOSTNGiRd1eqHsTt/1iyVPc27Ztc5xMJ0+e7FI+efJkI8kEBASYDRs2uF2GPYbixYu7XNgdP37cFC5c2EgyI0aMcDv/888/bySZAgUKuC23s79dLigoyOMFU1bcfPPNRpLp1KlTpuaPjY3NMNm2v+EnLCzM3HzzzS5vs7InEwUKFPD49rD07Ny50/j6+pp8+fK5PU/Yj8XDhg1zO39Gx0Bv37KVHe0qI968LSkhIcEULVrUSDLdunUzqampTuVLlixxfEemTZuW7nrCwsJM+fLlXc6BTzzxhNcJyZXL9PPzM4ULFzZ///23U/nx48dNlSpVjCRTt25dc+nSJZdlrFy50rG/SpUqZb7//nuncvu52d4Ws3peyEnnYvvnFxoaarZs2eJS/v777xtJJjw83OO83rxlK6O6P//8s+Oc7q6d279v+fLlMzt37nS7DPt3qnjx4qZdu3ZObdRmszkSrHvuuSfDeK83EpI8ZO3atY4LoSv/br31VjNs2DCXA9mV0l4Arl692m2df//91/j5+WWYkLg7SJ0/f95x4vn0009dyvfu3es44H/++edu179z507HOmbNmuVU9vbbbzvKPJ247HdfrE5IHnvsMcevWu5OIMYY89BDDzl+XcrMRZU3Ccnw4cMdJzv7Lz5XSntCdFcn7XqGDBniUr5161bTvXt3k5iYmOn4r/bP00nBZrOZChUqGEmmVatWbuv8/fffRpKZMGGC0/SzZ886fkmMjo52O298fLwJCAjwOiGRZP766y+X8vHjx5u33nrLGGNMUlKSCQsLM5JMjx493C7v5MmTJjw83EgyPXv2vCZx23+tbNSokcftst+tadGihdty+zaXK1fO5YLPGGN69OhhJLlNBo0xpl27dkaSKV++vMcYkpKSHOspUqSIx3pZYf/hpnbt2pma/2oSEk/Hw7i4OEf54sWLrzqGjz/+2HER605KSorx8/O75glJdrSrjHhzYWlve+Hh4ebkyZNu69jPDeHh4SYpKcnjeiSZsWPHupT//PPPV/0a5LTLHD16tNs633//fbr7I21C0qFDB5fyf//913Tv3t3s2rXLGJP180JOORf/888/jmuKN954w+38NpvNVKtW7ZomJKmpqY7zTpMmTdzOf+nSJUcdTwlF2vOGu/0ybdo0I13+0TczP1JcS/QhyUMaNGignTt36tlnn1VoaKhT2datWzVixAhVrlxZHTp00IEDB9wuwz7QVenSpXX33Xe7rVOiRAk1btzY7dtK0mrTpo3LtMDAQJUrV07S5YEcrzRx4kSlpqbKz8/P48Bj1apVc7wR5auvvnIqs7/OuGzZsqpXr57b+Tt27Jhu3NfDiRMnHB1uO3bsKD8/P7f1WrVqJSlzz6p7wxjj6Jh7xx13eBw8sGvXrpKk1NRUffbZZ+ku091+u+WWWzRt2jQVKVIk07G+//77WrZsWYZ/V77S80o+Pj7q3r27pMsDGf77778udaZNm6aQkBB17tzZafr333+vEydOSJIeeught8svVqyY7rrrLq+3q3Llym77c/Xv318vvfSSJGnmzJmO58Pt++JK4eHhju/crFmznEbPzo64d+zYodWrV0u63JncE3ubXb58ucfnoSUpOjpavr6up6hq1apJcn98kOTYX/Z+c+6cOnXK8e+M3jqYWfb1u2s/14K7fjBlypRxbJ+nzys99mfm//77b7evOg4ODtbKlSvVrVu3q162t7K7XWXWyZMn9eWXX0q6PGhleHi423r2719SUpJmzZqV7jLdHQubNm2apX6Hns5frVq1cpyTM1q+u7hKlCihadOmqWrVqtlyXsgp5+IJEyY42rmnN4z6+PioY8eOKly48DWLY8mSJYqJiZHk+Rju5+fn+A6sXLlSO3fu9Li8GjVquN0v9uOnzWZzrC+nICHJY4oUKaIPPvhAR44c0TfffKMuXbqoYMGCjnJjjObPn686deq4jCSalJTkuOitU6dOuuv5+eef9cUXX6Rbp1KlSm6n2+NJSkpyKVu5cqWkywnRhQsXdOzYMbd/9nEH0nauP378uHbt2iVJqlWrlse4atSokW7c18OaNWt08eJFSVK5cuU8bmeBAgUc83j7IoGrsWPHDh05ckSS0h0pulKlSo6TnX0feWI/IGa3unXrqnnz5hn+pXehate9e3f5+vrKZrO5tGP7tAcffNDloiRtJ87samPefF72TtxS+vvJXnbhwgWnjo3ZEXfa/V6mTBmPbdb+mRljtGnTJo/Ly8zxQZKj435643+k/bEkJSXFY72ssK/fmxcJZFXBggU9JvMZfV7psSegycnJuvPOO/XFF1+4jMfRsGFDjxek2SG721Vm/fbbb44xm7z5jl0Z+5XCw8NVvHjx7AtQUoECBTy+ntjf318333yzJGn9+vXpvlwjo2NOVs8LOelcbI8rPDw83Xb8+uuvX9ML+Ks9hktyecFAWhkdP6XMHROuJQZGzKNCQkLUqVMnderUSZcuXdLSpUv12Wef6fvvv5cxRv/995+6d+/u9Kt7XFyc4600JUqUyHIMV96lsbOfyN0dMO0HhLi4OK9e05mYmChjjHx8fLR//37H9PROBN5csF5raQ98/fv3V//+/TOcx36CuFZxlCxZMt26JUqUUHJycoYH7YzunOUEN910k5o2barly5dr6tSpGjp0qKNs+fLlOnjwoNMbyuzSvhkou9qYN5+X/TO3v1XLk7T7MO1+yo640y7vvvvuSzdeu/TabEbHh7RvvEnr3LlzkqSAgIB0lx0UFKTz58873S3JTvb1X6uEJy1Pn5WU/vE0I/Xr19cLL7ygd999VzExMerevbv69++vVq1aqX379mrbtq3y58+f6bi9kd3tKjviSO9YWKhQIQUHB+vcuXPpHguvxXEw7cWmO/bz9rlz53TkyBGP25FRbFk9L+Skc7E9ruy4psmOOKT0P1NPx/ArZXT8lDJ3TLiWSEggf39/RUdHKzo6WqtWrVKbNm109uxZ/fnnn9q2bZvjcZHTp0875gkODs7yet09jpERewwVK1b0+h3/9oQk7S+V6cXv6fGo6yntZ/3666+rQYMGGc6T0asEsxpHRvvcXu7u1ZJpZWa/W6FHjx5avny5/v77b/3222+ORxSnTZvmSFiudC3amDefl30/ebuPJOf9lB1xp20rn332mVe/mletWtVjWWbbiT1++x1GT+rUqaN169bp/PnzOnjwoEqXLp2p9XliX/+1eiQsrWv5nXrnnXfUokULffjhh1qyZInOnDmjefPmad68eQoNDdXgwYP1yiuvpJsAZkV2t6vsiMOb79m5c+fSPRZei32W0XElbdxpt+dKGcWW1fNCTjoXe3vsvF5xSOnH4ukYfqUb5TybFgkJnDRp0kRPP/203nrrLUnS7t27HQlJ2ozb/ivk9RYaGqoTJ07Iz89PzZs3v6p50z7elF78nn55vRpZHWQr7WddqVKlq97W7HI1+9xe7unZ6htN+/btFRYWpuTkZE2dOlV33323Tp48qQULFuj55593e8C/so15+qUxO9pYWvb95O0+kpz3U3bEnbat3HLLLbrjjjvSD/oasf9ib3+8xpOmTZtq3bp1ki73ocvuhMS+/mt9B+F6sD/umJCQoLlz52rmzJlav369Tp06pREjRmjfvn0ZPqKbWTmlXd0Ix8KMjitp4077nb9aWf0sctK52H5NYdU1Tdo47NI7Bns6hucGN14KhUx5//33VaxYsQxP0pKcDvjGGMe/y5Ur57gIO3z4cPYH6YWKFStKkg4dOuQUmzfKlCnjGHAqPj7eYz175970+PtfzuU93fLM6C5BRuzbKcnjCwauh7RxZLTP7eUVKlS4pjFdL2k7rX/zzTc6c+aMZs+erfPnzzsGnbpS2rtUWW1jV8O+n1JSUpw6q18pbQfrtPspO+LOKW3W/khDRp9xr169HN/j77//3uvl//rrr2rXrp06duyY7kWMff0ZPdJyIylWrJgGDhyo33//XWvXrnW0mxkzZjj6BGS3nNKuvD0Wpr24vd7HwvS++9L/xR0SEqKiRYtmej1ZPS/kpHOxfVusuqa5Mg4p/Vg8HcNzAxKSPOL06dM6cuSIV6PZpv1FIe2vhqGhobrtttskSX/88Ue6y+jbt68eeuihbP/VwT7y8pkzZzyOiCtJv//+u/z9/Z3ePBMREaHq1atLkv7880+P86b35go7+68Xnk4Ae/fuzXAZ6bnzzjsdz3quX78+3brR0dHy9/e/Jp3aq1WrpmLFiklKf5//888/jgN/eqNj32jsicfp06c1d+5cTZ06VY0aNfL42EjaN89ltY1djbSfeXr7yd4nLDAwUHfeeadjenbEnTaGjNpsjRo1FBgYeE2e9bd35nT3Vqi0ypcv79i/s2fP1n///efV8kePHq2FCxfq0qVL6T5akZiYKMn5QuNGs2LFCr399ttuyxo0aOB466KkdI/HnngzInlOaVdpj8npfcfSll3vY+Hp06d18OBBt2WXLl1y7KM77rjDcSGfGVk9L+Skc7E9rqSkpHT7ZIwZM0YdO3Z0eZulN23YG1d7DJfkMjr9jY6EJI/5+uuvM6yzZMkSSVLhwoVdXsc3YMAASZfvUNhfxXilrVu3auLEiTp8+HC2P5fZt29fx3Ol6b26cMqUKUpNTXV5Lav9da779+/3eAE/b968DOOoXLmyJGnfvn1uf5n54YcfMlxGegoWLOh49d+SJUs8nmD379+vpUuXqkKFCo5kMTv5+PjoySeflCStW7dOsbGxbuvZX4fp5+enPn36ZHscVmnQoIGqVKkiSXrjjTe0YcMGt53Z7e677z4VKlRIkjRnzhy3dY4cOaLffvstW+Ps2rWr4/a9fV9cKTk52dEuH330Uafb/dkRd7Vq1Rwn1dmzZ3v8MWLNmjXauXOnGjdunKVfaT2xv4Xm9OnTjqTAkw8++EBVq1ZVcnKynn322QyX/dNPP+m7775TQECA3nzzTY/1jDGO74qnV5reCH799Ve9/PLLHjv+p+2QnFGHanfy5csnybm/z7lz51S1alU98cQTknJOu0p7TP7hhx88/vJu//6Fh4d7fH3rteTp/LV48WJHzJ7u8HorO84LOeVcnPaawtOx88KFCxo5cqQWL17sclfCXRuWLr8+PaNXzKd17733OpbtKY7U1FTHNVzTpk2v2RsrLWPR+Ce4zuwD8gQHB5tFixZ5rPfll18af39/I8mMGzfOpTw1NdUx0uctt9ziMvDTmTNnTL169TwOxOXNQHwZDZZlH5ApMDDQ/Pzzzy7lc+bMMT4+PqZOnTrpjtTeoEEDl9FhN2zY4BhdVukMxrRv3z7j4+NjJJnZs2c7lcXExJgaNWpkuIyMPou0owK3adPGZSTc5ORkx6jj8+bNc7uMjHizP86ePesYkbdly5bm/PnzTuV//fWXCQ0NNZLn0bO9WU9W4/c0eNyV7O3Lm4GsjHEewKtAgQLm9OnT6dafMGGCo/6CBQucylJTU02nTp0c3zFvBkb0dpA0+4BX/v7+ZunSpS7r7dmzp5E8j9TuTdxRUVHpxr1z506TL18+I8n06dPHZWDDhIQEU7FiRePv72/Wr1/vdhlZ/d4cPXrU8d1csWKF2zpp7d2715QtW9ZIMv369fM4WNj333/vaOdXDoh5pZiYGEeMmzZtyjAGd65mYMT02lGZMmWM5Hk09fTYlz948GC35c8884yRZIoVK2ZSUlJcyjPal08//bSRZO6++27HtPXr1zvaj112tKuMXO1I7T179nSJY9myZY7v9vTp0zO9nszGXqBAAVO6dGmXAfFOnDhhqlataiTvRmqPjY3NcJ1ZPS/kpHOx/ZoiNDTUZRBam83mGKDxpZdecpl3wYIFjuOu/Ttw7tw5ExERYSpXruxU92pGanc30Kl9/nz58jkGqLxSRucNb44rVqFTex5RokQJBQQE6Ny5c4qOjlbjxo3VvHlzlShRQsYYHTx4UEuXLtW6devk5+enYcOGOe6GpOXr66v58+erXbt2WrVqlWrWrKlevXqpZMmS2r9/v6ZPn66DBw/q9ddfdwxUJUl//fWX/vrrL0cnUunyYG6S9OCDDyp//vxatmyZjhw54rgbsG/fPs2cOVMFChRQu3btHPP973//U3Jysj744AO1bNlSXbp00V133aWzZ8/q119/1bfffqtKlSpp/vz5Lrel8+XLp++//1733HOP1q1bpzp16qhnz54qXLiw/vzzT02dOlXvvfeeY9vXrVsnf39/lSlTRg0bNnQsp1y5curfv7/Gjx+vXr166Y8//lC1atUUGxur6dOna+rUqWrWrJnTMsqXL68777xT69atU0xMjNvP4s4773Q8DlS0aFEtX75c0dHR+vHHH3XLLbfoscceU7FixRQTE6Pp06crISFBI0eOVPv27a+qPaQXQ9p9Il1+3njp0qVq3bq1li5dqtq1a6tbt24qUqSItm3bpsmTJ+vMmTN69tln9dprrzmtJ739fuV+vRrffvutTp8+7bTcZcuW6dChQypatKhatGjhVP/IkSNatmyZ49/S5cf+3H3uV3rsscf0yiuvKDU1VQ899FCGnZT79u2rbdu2afz48erYsaO6d++uBg0aKCkpSV999ZXOnDmj/v37a8yYMU4x3H///QoPD3ds25XfA+lyp15Pv7p1795d//33n1544QVFR0ere/fuuuOOO3T69GnNnj1b69evV+nSpbVo0SLHOD1XE3ehQoXUp0+fdO8MVKtWTT/++KPat2+viRMn6o8//tDDDz+s8PBw7d69W59//rlSUlI0efJk1a9f3zHfmTNntGDBAqdl2b839m3et2+f1q5d67YttWjRwvGreGRkpJo2baqff/5ZK1euzPCxmUqVKmn9+vV64oknNGHCBC1YsEAdOnRQtWrVlD9/fh06dEhLlizR2rVrFRERoVmzZnkcQM3OPj5A5cqVMxyz6Ur27Uw7uJ+9bVeoUEENGjRwfH//+usvSc5t+dFHH5X0f98R+xuN/vrrL82cOdPt98MTe0fbDz74QGvWrNF9992n4sWL6/jx41qyZIlWrFih0NBQffXVV4674Wm/a3b2fXnlurt27aoxY8Zo7dq1evHFF3XTTTdp/Pjx8vX1dfyCLmW+XXnDft5x91mm/Twl52Py1KlTtXPnTj388MMqUKCA1q9fr+nTp8sYo9GjR7sMFpnePruafZKewoULa9iwYapfv7569eqlqlWr6vDhw5o0aZIOHDigcuXKacGCBU5vr7K3t7R9gL799lvHuDZptz+trJwXpJxxLrZLe03RoEEDPf7447rlllt09OhRLVy4UOvXr1d0dLRGjBjhsh32Y8+RI0f06KOPqmXLllq4cKFOnDihF154QVL6bSztsatp06b68ssv1aNHD/Xq1UuLFy9Ws2bNdOnSJX333XdaunSpChYsqAULFri8Sc7TecPetuzHWHfHlfTOK9eV1RkRrp/jx4+bWbNmmb59+5o77rjDFC1a1AQFBZmAgABTuHBhc/vtt5vnn3/eY+adls1mMzNnzjQtW7Y0kZGRxt/f30RFRZm2bdu6/VXSntm7+7P/GmPP7K/88/Rrwpo1a8wjjzxiSpUqZQIDA01oaKipX7++eeeddzz+yml35MgRM3DgQHPTTTeZwMBAExUVZdq0aeO443JlDB06dHBZRmpqqnnvvfdM9erVTVBQkClSpIh58MEHzZYtW9wuo2vXrsYYY7p37+7xs3D3C86pU6fMW2+9ZerVq2fCwsJMQECAKVWqlHnkkUfMunXr0t1OT9KLIe0+Sev8+fNm3LhxpmHDhiYiIsIEBgaakiVLms6dO5vffvvN7XrS2+9Z+YXQ/quvu7/GjRu71E/765+3n3tarVu3NpLM6tWrvY5xzpw5plGjRiY0NNTky5fPVKtWzbz88svm1KlTbj+Xbdu2Zbht3vzKvW3bNvP444+bsmXLmqCgIBMWFmZuu+02M2rUKHPq1KmrirtAgQLm1ltvNe+//765ePGi+d///mckmQoVKqS7jMTERPPyyy+bmjVrmvz585vAwEBTvnx588QTT5gdO3a41E/7q52nbU57Z+TKvyt/6bP/almlSpUMtzet1atXmyeffNJUq1bN8V0rWrSoadasmXn//ffNf//959VymjdvbiSZjz766KrWb0z622n/1TO976+dp3bk7vuRno0bN5oXXnjB3HHHHaZQoULGz8/P5M+f39x8881m8ODB5uDBg0710/uuuVv33LlzTd26dU1wcLApWLCgufPOO13u8NldbbvyhqfzzpWfZ1r2Y/Jtt91mwsLCTFBQkClbtqzp1auX43t8pfT22dXukytd+cv7qlWrzH333WeioqJMYGCgqVChgnnhhRfMyZMnXeZNr715c4mYmfNCWlaei6905TVFWFiYufvuu83kyZNd7oaltXXrVnPvvfeasLAwExISYmrUqGHGjh3rmCe9NubuLkVcXJx56qmnTOXKlU1ISIjj+zZ06FBz9OhRtzFk9H335hhrNR9jrvJVRQCQx7Rt21a7du3K8ssKbnSDBw/Whx9+qHr16mnDhg1Wh5Ouxo0b69dff9W8efOu+g5iVmzatEn169dXxYoVtX379nRHjAeyw/DhwzVixAiVKVPGaZBT4EZCp3YASEdiYqIWL16c5Y6gOV1iYqK2bduWbp2///5bknTzzTdfj5CyZPLkyYqIiNAzzzyTYef27JKSkqLevXsrMDBQ06dPJxkBAC+RkADA/3fmzBmXN8bMmjVLqampLs+E5zbz5s1TnTp1PL77/9SpU46+EW3btr2OkWVOpUqVtHDhQiUnJ6t169bX5FWwaZ0+fVrt27fXrl27NHPmTDVo0OCarg8AchMSEgD4/5YtW6aKFSsqKSlJknT+/HmNGzdObdq0UalSpSyO7tq7dOmShg8f7jLdGKOnnnpKp0+f1u233+40vk9O1rBhQ61bt07GGE2YMOGarmvevHn6559/tGLFCnXs2PGargsAchvesgUAadhsNnXp0kXt2rXTt99+qwMHDmju3LlWh3XN2Qf4GjNmjDZv3qw2bdqoaNGiio+P15w5c7RlyxbVqFFDc+fOla/vjfNbVrVq1bRx40aPA8Zll+bNm+uRRx7hMS1cN96+vQm4EdCpHQD+vz/++EP9+vXTnj17dOnSJVWvXl2vv/66oqOjrQ7tmrt06ZJ+/PFHffvtt9q4caMOHDigs2fPKjQ0VDVq1FDHjh3Vt29fhYSEWB0qAF0eqfuXX35xW7Zy5cpcN5I3cjcSEgAAAACW4ZEti9lsNh0+fFihoaGORyYAAACAG50xRqdOnVKJEiXSfdyXhMRihw8fVunSpa0OAwAAALgmDh48mO7LYUhILBYaGirp8o4KCwu77uu32WxKTExUZGTkDdVRFdcX7QQZoY3AG7QTeIN2knskJyerdOnSjutdT0hILGZ/TCssLMyyhOTcuXMKCwvjSw+PaCfICG0E3qCdwBu0k9wno24J7GUAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGAZEhIAAAAAliEhAQAAAGCZGyohWbt2rapUqSIfHx/FxcVZHY4OHTqksLAw+fj4aNq0aVaHAwAAANxwboiEJCUlRUOGDFGjRo20d+/ebFnmnj179Oijj6p48eIKDg5WhQoV9PzzzyspKcnrZfTr10+nTp3KlngAAACAvCjHJyQxMTGqVauW5s2bp8WLF2fLMletWqXatWtr06ZNmjZtmnbt2qVXX31VEyZMUJ06dRQfH5/hMmbNmqWffvpJJUqUyJaYAAAAgLzI3+oAMrJjxw41a9ZM7777rgoUKJDl5Z08eVKdOnWSMUaLFi1S+fLlJUnlypVTUFCQunbtqm7dumnZsmUel3Hs2DE988wzGjJkiH7//XcdPnw4y3EBAAAAeVGOv0PSpk0bffLJJ9mSjEjS2LFjdezYMbVt29aRjNh17txZJUqU0PLly7VmzRqPy3jqqacUERGh4cOHZ0tMAAAAQF6V4xMSPz+/bF3enDlzJEnNmjVzKfP19VXTpk0lSV9//bXb+X/44QfNnj1bkyZNUnBwcLbGBgAAAOQ1Of6Rrex05swZ7dixQ5JUtWpVt3Xs0zdu3OhSdurUKT355JPq3bu3GjdunKkYzp8/r/Pnzzv+n5ycLEmy2Wyy2WyZWmZW2Gw2GWMsWTduHLQTZIQ2Am/QTuAN2knu4e0+zFMJSWxsrOODKVasmNs6xYsXl3S5M/2VXnjhBdlsNr377ruZjuGtt97SiBEjXKYnJibq3LlzmV5uZtlsNiUlJckYI1/fHH/DDBahnSAjtBF4g3YCb9BOcg9v30abpxIS+90ISQoJCXFbJ1++fJLk8vrfX3/9VZ999pkWLFig8PDwTMcwdOhQDR482Cmm0qVLKzIyUmFhYZlebmbZbDb5+PgoMjKSLz08op0gI7QReIN2Am/QTnIPb7s35KmEJLPOnTunJ554Qh07dlTbtm2ztKygoCAFBQW5TPf19bXsS+fj42Pp+nFjoJ0gI7QReIN2Am/QTnIHb/dfntrLae9ApKSkuK1z9uxZSXK6CzJ8+HAdO3ZMY8eOvbYBAgAAAHlMnkpIypUrJx8fH0lSQkKC2zr2QRErVKjgmPb1118rOTlZFSpUUIECBZz+Vq9eLenyqO32aaNGjbrGWwIAAADkDnnqka38+fOrRo0a2r59u3bv3q2GDRu61Nm9e7ckqV69eo5pq1at0sWLF90us2vXrtqwYYNef/11tW/fXpJUqFChaxA9AAAAkPvkqYREkjp16qTt27fr559/Vu/evZ3KbDabVqxY4ahnV6ZMGY/Ls3eOj4qKUsWKFa9BxAAAAEDulSsf2VqyZIkqVqyogQMHupQNGjRIhQsX1sKFCxUbG+tUNnv2bB0+fFhNmzZ1e/cEAAAAQPa6IRKSxMREJSQkOPX7cDfNbty4cYqJidH48eP133//OZVFRETom2++kSS1bt1aS5cuVWxsrKZOnaq+ffuqbNmymjFjRrrxpKSkONZ94cIFSZdfE+wpHgAAAADu3RAJSb169VS8eHHHoIWSVL9+fZdpdo8++qjCwsLUqVMnFS5c2KW8adOm+vPPP1WnTh1169ZNVatW1RtvvKE+ffrozz//VIkSJdKN5+uvv3ase926dZKkZ555xmM8AAAAANzzMcYYq4PIy5KTkxUeHq6kpCTLBkY8evSooqKieNc3PKKdICO0EXiDdgJv0E5yD2+vc9nLAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMiQkAAAAACxDQgIAAADAMjdUQrJ27VpVqVJFPj4+iouLszocAAAAAFl0QyQkKSkpGjJkiBo1aqS9e/dmyzL37NmjRx99VMWLF1dwcLAqVKig559/XklJSW7r22w2LVy4UF27dlX58uUVFBSk/Pnz6+abb9Zzzz2nw4cPZ0tcAAAAQF6S4xOSmJgY1apVS/PmzdPixYuzZZmrVq1S7dq1tWnTJk2bNk27du3Sq6++qgkTJqhOnTqKj493madVq1Zq166d9u7dq48++kg7duzQypUr1bx5c3344YeqUaOG1q1bly3xAQAAAHmFv9UBZGTHjh1q1qyZ3n33XRUoUCDLyzt58qQ6deokY4wWLVqk8uXLS5LKlSunoKAgde3aVd26ddOyZcuc5jt69KjKlCmjFStWKDQ01DG9fv368vf31+jRo9W5c2fFxMTI3z/Hf6wAAABAjpDj75C0adNGn3zySbYkI5I0duxYHTt2TG3btnUkI3adO3dWiRIltHz5cq1Zs8Zl3oceesgpGbHr27evJOnAgQNav359tsQJAAAA5AU5PiHx8/PL1uXNmTNHktSsWTOXMl9fXzVt2lSS9PXXXzuVrV69Wm+++abbZZYqVcrx7+PHj2dXqAAAAECul6eeLTpz5ox27NghSapatarbOvbpGzdudJru7s6IXdo+JzfffHO6MZw/f17nz593/D85OVnS5U7zNpst3XmvBZvNJmOMJevGjYN2gozQRuAN2gm8QTvJPbzdh3kqIYmNjXV8MMWKFXNbp3jx4pIud6b31qJFiyRJ0dHRKleuXLp133rrLY0YMcJlemJios6dO+f1OrOLzWZTUlKSjDHy9c3xN8xgEdoJMkIbgTdoJ/AG7ST3OHXqlFf18lRCYr8bIUkhISFu6+TLl0+SPL7+90pnz57VRx99pNDQUI0ZMybD+kOHDtXgwYOdYipdurQiIyMVFhbm1Tqzk81mk4+PjyIjI/nSwyPaCTJCG4E3aCfwBu0k9wgODvaqXp5KSK6F5557TnFxcfrmm29UoUKFDOsHBQUpKCjIZbqvr69lXzofHx9L148bA+0EGaGNwBu0E3iDdpI7eLv/8lRCkvYOREpKits6Z8+elSSFh4dnuLy3335bEyZM0Oeff6727dtnT5AAAABAHpKn0s5y5crJx8dHkpSQkOC2jr2DekZ3Oz788EO99tprmj59unr06JGtcQIAAAB5RZ5KSPLnz68aNWpIknbv3u22jn16vXr1PC5n5MiRevHFFzV79mw99thj2R8oAAAAkEfkqYREkjp16iRJ+vnnn13KbDabVqxY4VTvSi+//LLefPNNLViwQB06dHAqe+GFFzRz5sxsjhgAAADIvXJlQrJkyRJVrFhRAwcOdCkbNGiQChcurIULFyo2NtapbPbs2Tp8+LCaNm2qhg0bOpUZY/T0009rzJgx+uGHH9SmTRuXZW/YsEH//PNP9m4MAAAAkIvdEJ3aExMTlZqa6jLN/iqxK8cUGTdunGJiYjR+/HiNGDFChQsXdpRFRETom2++UZs2bdS6dWuNGTNGlSpV0qpVq/TUU0+pbNmymjFjhksMTz75pD777DNFRkbqxRdfdBvnnj171KRJkyxuLQAAAJB33BAJSb169bR//36nafXr13f82xjjVPboo49q9erVuvfee52SEbumTZvqzz//1Ouvv65u3brpxIkTKlmypPr06aPXXntNBQsWdJln9uzZki4nQomJidmwVQAAAABuiIQkLi7uqup37txZnTt3TrdO1apV9eWXX3q9zJMnT15VDAAAAAAyliv7kAAAAAC4MZCQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAAAAAy2QpIUlJSdEXX3yhL774Qnv37nVM37Fjhxo2bKgCBQqoRo0a+u6777IcKAAAAIDcJ0sJyffff68ePXpo8ODB2rZtmyTp9OnTio6O1po1a3T27Fnt2rVLHTt21NatW7MlYAAAAAC5R5YSkrlz56px48bav3+/OnToIEmaMWOGDh48qNtvv10HDx5UTEyMatWqpffffz9bAgYAAACQe/hnZeZ169ZpxowZyp8/v2PazJkz5ePjo48//lglS5aUJI0YMUJPP/101iIFAAAAkOtk6Q7J0aNHVaFCBcf/ExMTtX79elWuXFn169d3TK9evboOHTqUlVUBAAAAyIWylJBERUUpMTHR8f+vv/5aNptNnTp1cqp36tQp+ftn6WYMAAAAgFwoSwlJzZo1NWbMGEmX75a899578vHx0aOPPupUb+XKlapYsWJWVgUAAAAgF8pSQjJ48GB98cUXKliwoMqUKaODBw/qvvvuU+XKlSVJhw8f1pQpU/S///1PLVu2zJaAAQAAAOQeWUpImjdvrgkTJqhgwYLy8/PT/fffrylTpjjKX3nlFfXu3VtJSUl6+OGHsxwsAAAAgNzFxxhjrA4iL0tOTlZ4eLiSkpIUFhZ23ddvs9l09OhRRUVFydc3S/kpcjHaCTJCG4E3aCfwBu0k9/D2Ove67GVjjA4cOHA9VgUAAADgBnJdEpKjR4+qXLly12NVAAAAAG4g2fIu3n///Vdbt27ViRMnlJqa6lKelJSUHasBAAAAkMtkKSE5ffq0unXrpoULF6ZbzxgjHx+frKxKkrR27Vr17NlTe/fuVWxsrMqWLZvlZQIAAACwTpYSkueee07ffvutIiMjVbduXRUqVEgBAQEu9c6ePau5c+dmej0pKSl69dVX9fHHH7u9A5MZe/bs0RtvvKGff/5ZJ06cUMmSJdW+fXu9+uqrCg8P9zhfUlKSRo4cqfnz5+vQoUOKiIhQs2bN9Nprr6lKlSrZEhsAAACQV2QpIfn222/12GOP6fPPP5efn5/HegkJCZozZ06m1hETE6Po6GidP39eixcvzpbxTFatWqXo6GjddNNNmjZtmipXrqxVq1bpqaee0vz58/Xbb7+pePHiLvPFx8fr7rvv1tGjRzVmzBg1adJEe/fu1dNPP63atWtr0aJFatKkSZbjAwAAAPKKLCUkSUlJGjJkSLrJiCQVLFhQU6dOzdQ6duzYoWbNmundd99VgQIFMrWMtE6ePKlOnTrJGKNFixapfPnykqRy5copKChIXbt2Vbdu3bRs2TKXebt166Z9+/Zp1qxZ6tKli2O+RYsWqXr16urUqZP++eefdO+wAAAAAPg/WXrLVuXKlRUUFJRhveDgYHXv3j1T62jTpo0++eSTbElGJGns2LE6duyY2rZt60hG7Dp37qwSJUpo+fLlWrNmjVPZ6tWrtXz5cpUoUUKdO3d2KitfvrwefPBBHTt2TOPGjcuWOAEAAIC8IEsJydNPP60JEyZkWO/YsWMuF//eyujuy9WyPzrWrFkzlzJfX181bdpUkvT111+7na9JkyZuB+lp3ry52/kAAAAAeJalR7aaN2+uDRs2qFWrVurVq5cqVqyowoULu7xR6+jRo9q/f3+WAs0OZ86c0Y4dOyRJVatWdVvHPn3jxo1O09evX+/VfDt27FBKSopCQkLc1jt//rzOnz/v+H9ycrKky6OS2mw2bzcl29hsNhljLFk3bhy0E2SENgJv0E7gDdpJ7uHtPsxSQlK2bFlH8uGuz0VOExsb6/hgihUr5raOvTN7TEyM03T7/zOaz2azKTY2VtWrV3db76233tKIESNcpicmJurcuXNebEX2stlsmrTyH5299I+krL+aGbmV0cWLlxQQQDuBJ7QReIN2Am/QTrJTRP4A9bi7jCXrPnXqlFf1sjwwYsmSJTN8rCo1NVX//vtvVleVZfa7EZI83sHIly+fJNfBHO3zZjSfu3nTGjp0qAYPHuy03NKlSysyMlJhYWEZbEH2s9ls6tPUR5GRkW4fRQOky+0kMTGRdgKPaCPwBu0E3qCd5B7BwcFe1ctyQrJp0yZFRUWlWychIUElSpTI6qpyhaCgILcvAvD19bXsS+fj42Pp+nFjoJ0gI7QReIN2Am/QTnIHb/dflvZys2bNvHrLVr58+TL9lq3slPYOREpKits6Z8+elSSXV/fa581oPnfzAgAAAHAvSwnJsmXLvLr4DgsLy/Q4JNmpXLlyjj4vCQkJbuvEx8dLkipUqOA03f7/jObz9fVV2bJlsyNcAAAAINfL1vtg27Zt0w8//KAffvhB27Zty85FZ4v8+fOrRo0akqTdu3e7rWOfXq9ePafp9evX92q+GjVqOPUnAQAAAOBZtiQkEyZMUKlSpVSrVi21bdtWbdu2Va1atVS6dGmvxim5njp16iRJ+vnnn13KbDabVqxY4VTvyvlWrVrl9hVmy5cvdzsfAAAAAM+ynJD069dPAwYM0OHDh2WMcfr7999/NWDAAPXr1y87YvXakiVLVLFiRQ0cONClbNCgQSpcuLAWLlyo2NhYp7LZs2fr8OHDatq0qRo2bOhU1qhRI91zzz06fPiwy+CH+/bt04IFC1S4cGENGjQo+zcIAAAAyKWylJDMnz9fEydO1N133625c+fqwIEDjoH/Dhw4oLlz5+quu+7SpEmTtGDBgkyvJzExUQkJCU79N9xNsxs3bpxiYmI0fvx4/ffff05lERER+uabbyRJrVu31tKlSxUbG6upU6eqb9++Klu2rGbMmOE2jpkzZ6ps2bLq06ePpk6dqtjYWC1dulTR0dHy8fHRN998o4IFC2Z6OwEAAIC8xscYYzI7c4sWLVSoUCHNnj3bZXR2O2OMHn74YZ04cSLTgyeWLVs23ZHer9yE2bNnq2/fvrr33nsdyceVdu/erddff10rVqzQiRMnVLJkST344IN67bXX0k0qTp48qTfffFMLFizQoUOHFBERoaZNm+q1115TtWrVrnrbkpOTFR4erqSkJMvGITl69KiioqJ4tR48op0gI7QReIN2Am/QTnIPb69zs5SQFC5cWEuXLlXdunXTrbdp0ybde++9LncrQEKCGwPtBBmhjcAbtBN4g3aSe3h7nZulvXz27FlFRkZmWC8qKsppnA4AAAAAkLKYkJQsWVLr1q3LsN5vv/2mkiVLZmVVAAAAAHKhLCUkrVq10rPPPqsNGzZ4rLN27VoNGTJE0dHRWVkVAAAAgFzIPyszDx06VF9++aUaNGig+vXrq379+oqKipIkHTlyROvXr9emTZsUERGhF198MVsCBgAAAJB7ZCkhKVmypH788Ud16NBB69evd7lTYoxRsWLFNH/+fB7ZAgAAAOAiSwmJJDVo0EC7d+/W5MmTtWzZMsfrecuUKaOWLVvqiSeeUGhoaJYDBQAAAJD7ZCkhOXDggEqXLq2wsDANHjxYgwcPdio/efKkevfuraZNm6p3794exyoBAAAAkDdlqVN7uXLllJiY6LHcGKNdu3apf//+eu2117KyKgAAAAC5UJYSkozGVIyIiNDWrVs1a9YszZo1KyurAgAAAJALXZfhL2+77TbFx8dfj1UBAAAAuIFcVR+Sv/76S1u2bHGa9s0336Q7FPyZM2c0f/58FS1aNFMBAgAAAMi9riohWbBggUaMGOHUOf3pp5/OcD5jjEaMGHH10QEAAADI1a4qIalVq5a6d+8u6XKSMWPGDHXq1EkhISFu6/v6+qpgwYJq3LixHnjggaxHCwAAACBXuaqEpG3btmrbtq3j/1988YXGjBnjGJ0dAAAAAK5Gljq1T506VeHh4dkVCwAAAIA8JksDI9of3wIAAACAzLgur/0FAAAAAHdISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVISAAAAABYhoQEAAAAgGVumIRkyZIlatGihQoVKqT8+fOrTp06GjdunGw221UvKzU1VZ999pkaNmyoggULKjg4WBUqVNCgQYOUkJCQ7nzffPONWrRoobJlyyooKEiFChVSkyZNNH36dBljsrKJAAAAQJ5zQyQk77zzjlq3bq3g4GAtW7ZMf/75p1q0aKFBgwapXbt2unTpktfLOnv2rJo1a6Z+/fqpWrVqWrVqlXbv3q3XXntNX375pWrWrKkdO3a4zGez2XT//ffr4Ycf1qlTpzRx4kTt3r1bCxcuVL58+dSjRw89/PDDJCUAAADAVfAxOfwKevXq1WrUqJGqV6+uLVu2KCAgwFHWp08fTZo0SW+++aZeeeUVr5bXr18/ffbZZ2rdurUWLVrkVLZw4UK1a9dO1atX19atW+Xv7+8oW7Bggdq3b6/Q0FDFxcWpUKFCjrILFy6oatWqio2N1fz58/Xggw96vX3JyckKDw9XUlKSwsLCvJ4vu9hsNh09elRRUVHy9b0h8lNYgHaCjNBG4A3aCbxBO8k9vL3OzfF7efjw4ZKkQYMGOSUjkjRkyBBJ0rvvvquUlJQMl3XmzBlNmzZNktS/f3+X8gceeEA33XSTdu7cqXnz5jmV/f3335KkKlWqOCUjkhQYGKg6depIklasWJHxRgEAAACQlMMTksTERK1atUqS1KxZM5fyKlWqqFSpUkpOTtbixYszXN6uXbt0/vx5SVLFihVdyn18fBzTFyxY4FR26623SpL27dunc+fOOZUZY7R7925JUkhISIZxAAAAALjMP+Mq1tm0aZNsNpsCAgJUoUIFt3WqVq2qQ4cOaePGjWrfvn26y0tNTXX828/Pz22dfPnySZK2bNniNP3ee+9V//799cknn6hLly56//33Va5cOR05ckQjRoxw9DuJjo5ON4bz5887kiLp8q0s6fLtycx00M8qm80mY4wl68aNg3aCjNBG4A3aCbxBO8k9vN2HOTohiYmJkSRFRkZ6fIawePHiTnXTU758efn4+MgYo7i4OFWqVMmlTlxcnCQpPj7epWz8+PF67LHH9Pzzz6tChQry9/d3dKj39/fXyJEj1aRJk3RjeOuttzRixAiX6YmJiS53Xq4Hm82mpKQkGWN4ThMe0U6QEdoIvEE7gTdoJ7nHqVOnvKqXoxMS+92D9B6Dst/RSEpKynB5kZGRatKkiVauXKlp06apRYsWTuWbN2/W9u3bJV3ub3KluXPnqnfv3ipZsqTmzp2ratWq6fDhw/rhhx/UunVr3XvvvRnGMHToUA0ePNhpG0uXLq3IyEjLOrX7+Pikm/QBtBNkhDYCb9BO4A3aSe4RHBzsVb0cnZBcC+PHj9ddd92l2bNn69Zbb1X//v0VGBiodevWqVevXipVqpQOHTqk/PnzO833448/qlOnTgoLC9OqVatUpEgRSVL16tV1zz33qF69epo+fbomTJiQbmIRFBSkoKAgl+m+vr6Wfel8fHwsXT9uDLQTZIQ2Am/QTuAN2knu4O3+y9F72X5hn94btM6ePStJCg8P92qZ1apVc/Q3GT58uMLCwpQvXz516dJFffv2dTxOFRkZ6TTf22+/LUnq0aOHIxmx8/Pz05AhQ/TVV1+pV69e3m0cAAAAgJx9h8TekT0xMVE2m81tlmXv6+Gp07un5c6ZM0cXL17UkSNHFBAQoKJFi0qS3nvvPUnSLbfc4jTPH3/8IelyQuOOffr8+fMd784GAAAAkL4cfYekbt268vX11cWLFz12Wre/brdevXpXvfyAgACVKlXKkYxI0rZt2yTJpX+JnY+Pj9vp9mTJGKN///33qmMBAAAA8qIcnZBERUWpcePGkqSff/7ZpXzPnj06dOiQQkND1apVK6+WefDgQS1fvtxt2blz57RkyRKFhoaqc+fOTmWVK1d2rNOdtNOLFSvmVSwAAABAXpejExJJGjZsmCRp3Lhxjlfs2o0ePVqS9PzzzzvetiVdfltW9erV1alTJ5d5fvrpJ7Vs2VKxsbEu63r77beVmJiot99+WxEREU5l3bp1kyRNnz7d5Y1exhh99NFHkqQGDRo4XkUMAAAAIH05PiFp3LixRo4cqR07dujBBx/U5s2btXfvXr300kuaNGmSoqOjNXToUKd5Pv/8c+3atUtz587V1q1bXZZpjFG7du20ZMkS7d+/Xxs2bFC/fv30xhtvaOjQoerfv7/LPIMGDdJ9992n48ePq0WLFlq6dKkOHjyo9evXq1OnTvr9999VtGhRTZky5Zp9FgAAAEBuk+MTEkl6+eWXtWjRIqWkpKhp06aqXbu2fvrpJ3388cf67rvv5O/v3De/U6dOKlKkiBo1aqQaNWo4lTVs2FADBgyQJHXp0kWVK1dW+/btlZSUpF9++UWjRo1yG0NAQIC+++47TZs2TWFhYerSpYvKlSun5s2bKyYmRq+88oq2b9/usdM7AAAAAFc+xhhjdRB5WXJyssLDw5WUlGTZwIj2t4Lxrm94QjtBRmgj8AbtBN6gneQe3l7nspcBAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWOaGSUiWLFmiFi1aqFChQsqfP7/q1KmjcePGyWazXfWyUlNT9dlnn6lhw4YqWLCggoODVaFCBQ0aNEgJCQkZzr9mzRp16dJFpUuXVlBQkCIjI3Xbbbfp6aef1p49ezKzeQAAAECedEMkJO+8845at26t4OBgLVu2TH/++adatGihQYMGqV27drp06ZLXyzp79qyaNWumfv36qVq1alq1apV2796t1157TV9++aVq1qypHTt2eJz/5ZdfVvPmzVWuXDktXLhQe/fu1TfffKP8+fNrzJgxWr16dXZsMgAAAJAn+FsdQEZWr16tl156SdWrV9f8+fMVEBAg6XKScuLECU2aNEnvvPOOXnnlFa+WN3jwYP3yyy9q3bq1Jk6c6Jjeo0cPRUREqF27dnrooYe0detW+fs7fzzjx4/XW2+9pXnz5ql9+/aO6WXKlNFtt92mmjVrKl++fNmw1QAAAEDekOPvkAwfPlySNGjQIEcyYjdkyBBJ0rvvvquUlJQMl3XmzBlNmzZNktS/f3+X8gceeEA33XSTdu7cqXnz5jmVnThxQkOHDlWDBg2ckhG70NBQxcXFqUuXLt5sFgAAAADl8IQkMTFRq1atkiQ1a9bMpbxKlSoqVaqUkpOTtXjx4gyXt2vXLp0/f16SVLFiRZdyHx8fx/QFCxY4lX311Vc6deqUWrdufbWbAQAAAMCDHP3I1qZNm2Sz2RQQEKAKFSq4rVO1alUdOnRIGzdudHvnIq3U1FTHv/38/NzWsT9ytWXLFqfpy5YtkyRVqlRJixYt0tixY7VlyxbZbDZVqlRJjzzyiPr06eNyF+dK58+fdyRFkpScnCxJstlsmeqgn1U2m03GGEvWjRsH7QQZoY3AG7QTeIN2knt4uw9zdEISExMjSYqMjJSvr/ubOcWLF3eqm57y5cvLx8dHxhjFxcWpUqVKLnXi4uIkSfHx8U7T//rrL0nSp59+qr/++ksjR47Ue++9p+PHj+v999/XwIEDNW/ePC1evFhBQUEeY3jrrbc0YsQIl+mJiYk6d+5chtuQ3Ww2m5KSkmSM8fgZA7QTZIQ2Am/QTuAN2knucerUKa/q5eiExH73ICQkxGMd+x2NpKSkDJcXGRmpJk2aaOXKlZo2bZpatGjhVL5582Zt375d0uX+JmklJiZKkn799VctWLBA7dq1c5TdddddatiwoVauXKkRI0Zo1KhRHmMYOnSoBg8e7LSNpUuXVmRkpMLCwjLchuxms9nk4+OTbtIH0E6QEdoIvEE7gTdoJ7lHcHCwV/VydEJyLYwfP1533XWXZs+erVtvvVX9+/dXYGCg1q1bp169eqlUqVI6dOiQ8ufP7zTf2bNnJV1+o1bbtm2dyvz8/DRo0CCtW7dOn376qd544w2Pj4QFBQW5vYPi6+tr2ZfOx8fH0vXjxkA7QUZoI/AG7QTeoJ3kDt7uvxy9l+13DNJ7g5Y9UQgPD/dqmdWqVXP0Nxk+fLjCwsKUL18+denSRX379nU8ThUZGek0n/0uTdWqVeXj4+Oy3Lp160qSTp48qb1793oVCwAAAJDX5eg7JPaO7ImJibLZbG6zLHtfD0+d3j0td86cObp48aKOHDmigIAAFS1aVJL03nvvSZJuueUWp3mKFy+uv//+W4UKFXK7zNDQUMe/T5w44XUsAAAAQF6Wo++Q1K1bV76+vrp48aLHTuu7d++WJNWrV++qlx8QEKBSpUo5khFJ2rZtmyS59C+pXbu2JOnIkSNul5V2ekRExFXHAgAAAORFOTohiYqKUuPGjSVJP//8s0v5nj17dOjQIYWGhqpVq1ZeLfPgwYNavny527Jz585pyZIlCg0NVefOnZ3K7J3Yd+7cqUuXLrnMu2PHDklS4cKFVaVKFa9iAQAAAPK6HJ2QSNKwYcMkSePGjXNJBEaPHi1Jev755x1v25Iuvy2revXq6tSpk8s8P/30k1q2bKnY2FiXdb399ttKTEzU22+/7XKXo0OHDqpSpYoSEhL0zTffOJUZYzRmzBhJ0jPPPEMHLAAAAMBLOf7KuXHjxho5cqR27NihBx98UJs3b9bevXv10ksvadKkSYqOjtbQoUOd5vn888+1a9cuzZ07V1u3bnVZpjFG7dq105IlS7R//35t2LBB/fr10xtvvKGhQ4eqf//+LvMEBgbqm2++UeHChdW/f39NnjxZcXFx2rx5sx555BFt2LBBDz74oEssAAAAADzL8QmJJL388statGiRUlJS1LRpU9WuXVs//fSTPv74Y3333Xfy93fum9+pUycVKVJEjRo1Uo0aNZzKGjZsqAEDBkiSunTposqVK6t9+/ZKSkrSL7/8ku4YIrfccou2bdumRx99VKNGjVKVKlXUtGlTJSQkaPr06Zo3b57H1/0CAAAAcOVjjDFWB5GXJScnKzw8XElJSZYNjHj06FFFRUXxqBk8op0gI7QReIN2Am/QTnIPb69z2csAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALENCAgAAAMAyJCQAAAAALONvdQB5nTFGkpScnGzJ+m02m06dOqXg4GD5+pKfwj3aCTJCG4E3aCfwBu0k97Bf39qvdz0hIbHYqVOnJEmlS5e2OBIAAAAg+506dUrh4eEey31MRikLrimbzabDhw8rNDRUPj4+1339ycnJKl26tA4ePKiwsLDrvn7cGGgnyAhtBN6gncAbtJPcwxijU6dOqUSJEune7eIOicV8fX1VqlQpq8NQWFgYX3pkiHaCjNBG4A3aCbxBO8kd0rszYseDeQAAAAAsQ0ICAAAAwDIkJHlcUFCQhg0bpqCgIKtDQQ5GO0FGaCPwBu0E3qCd5D10agcAAABgGe6QAAAAALAMCQkAAAAAy5CQAAAAALAMCQkAwCtr165VlSpV5OPjo7i4OKvDQQ5FOwFwtUhI8qglS5aoRYsWKlSokPLnz686depo3LhxstlsVoeGHGDatGny8fFJ92/Lli1Wh4nrJCUlRUOGDFGjRo20d+9er+dbv3692rVrp8jISIWEhKhGjRp68803df78+WsYLaxyte1k1apVGR5nvv3222sfOK6LAwcO6I033tBdd92liIgIBQQEqGjRooqOjtbcuXPTnZdjSe5HQpIHvfPOO2rdurWCg4O1bNky/fnnn2rRooUGDRqkdu3a6dKlS1aHiBwgJCREVapU8fgXHBxsdYi4DmJiYlSrVi3NmzdPixcv9nq+L7/8UnfddZeOHDmi+fPna/v27erVq5dGjBihhg0b6vTp09cwalxvmW0n/v7+6R5nQkNDr2HUuF5++eUXVahQQSNHjlTTpk21bNky7dq1S+PHj9c///yjTp06qUuXLm5/FOVYkkcY5Cm//vqrkWSqV69uLly44FTWu3dvI8m8+eabFkWHnGLq1KmmcePGVoeBHGDhwoXmySefNKdOnTLGGCPJSDKxsbEe5/nnn39MUFCQiYqKMidOnHAqGzlypJFknnjiiWsYNa63zLSTlStXmjJlylyfAGGpBQsWGElmzJgxLmX//vuvCQ0NNZLMxIkTnco4luQd3CHJY4YPHy5JGjRokAICApzKhgwZIkl69913lZKScr1DA5ADtWnTRp988okKFCjg9TyjRo3S+fPn1bNnTxUsWNCpbMCAAQoKCtLnn3+uAwcOZHO0sEpm2gnyFj8/P3Xv3t1leokSJXT//fdLkr755hunMo4leQcJSR6SmJioVatWSZKaNWvmUl6lShWVKlVKycnJV3XLHUDu5efnd1X1U1NTNX/+fEnujzPh4eGqV6+ebDZbhs+N48Zxte0EeUubNm10/PhxhYWFuS0vVaqUJOn48eOOaRxL8hYSkjxk06ZNstlsCggIUIUKFdzWqVq1qiRp48aN1zM05ECnTp3S66+/rttuu01RUVEqWbKkmjVrpgkTJujChQtWh4ccau/evTp58qSk/zueXInjDOwuXryojz76SA0aNFDx4sVVvHhx3X333XrvvffoG5CLBAQEeExGJCk+Pl6SVLNmTcc0jiV5CwlJHhITEyNJioyMlK+v+11fvHhxp7rIuzZv3qx169ZpxIgRWrVqlb744gsVLFhQTz75pO6++26dOHHC6hCRA6U9dhQrVsxtHY4zsDt8+LBmz56tIUOGaPny5ZozZ45q1KihF154QbVr11ZsbKzVIeIau3TpkpYtWybp8mNYdhxL8hZ/qwPA9ZOcnCzp8tuTPMmXL58kKSkp6brEhJypevXqev/99x39iuzTmjVrpgceeEDff/+9evXqpQULFlgYJXIi+3HGz8/PpZ+aHccZSJcf0xk2bJheeeUVp7Zy9913KygoSGPHjlXHjh21adMm+fj4WBgprqXPP/9cCQkJevLJJ1WvXj3HdI4leQt3SAC4qF+/vlMyktawYcMkSd9++63+/vvv6xkWgFykYsWKGj58uNuLzVdeeUV+fn7avHmzli9fbkF0uB7++ecfPffcc2rQoIE++OADq8OBhUhI8hD785vpvUHr7Nmzki53FgPcufXWWx0dWNesWWNxNMhp7MeZ1NRUXbx40W0djjPISNGiRR0dnTnO5E7x8fFq2bKlKlasqMWLF7uMbcWxJG8hIclD7B3ZExMTPY7Ibu9Y5qnTO+Dv768iRYpIcn4jCiA5HzsSEhLc1uE4A2/Y+w1wnMl9Dh8+rGbNmikqKko///yz24SCY0neQkKSh9StW1e+vr66ePGixw5gu3fvliSn5ziRt6SkpOiHH37QmTNn3JZfunRJx44dkySX98IDlStXdlxc2I8nV+I4A0n64YcfHMcSd+wXoRxncpf9+/erUaNGioqK0vLlyxUREeG2HseSvIWEJA+JiopS48aNJUk///yzS/mePXt06NAhhYaGqlWrVtc7POQQR44c0f333+/xNYrbtm1TamqqJOmOO+64nqHhBuDn56f27dtLcn+cSUpK0saNG+Xr66sOHTpc7/CQg9x///364Ycf3JYlJibq0KFDkqQGDRpcz7BwDf39999q2LChKlSooMWLFzsNpPnXX385XXtwLMlbSEjyGHuH5HHjxunSpUtOZaNHj5YkPf/88443VyDvmj59utvpb7zxhiSpZcuWql69+vUMCTeIl19+WYGBgZo6darL22/Gjx+v8+fPq0ePHipTpoxFESKn+OKLL2SMcZk+atQopaamqlq1amrZsqUFkSG77dixQ40aNVKdOnX03Xffubzx8/jx4/rpp5+cpnEsyUMM8pyRI0caSea+++4zf/zxh9mzZ4958cUXjSQTHR1tLl68aHWIsNCBAweMj4+PkWS6detmfv31VxMXF2fWrVtnunTpYiSZ6tWrm/j4eKtDxXVy9OhREx8fb+Lj440kI8ls2LDBMc2dL774wvj6+poGDRqY3377zcTExJj333/f+Pv7m7p165rk5OTrvBW41q62nfj5+RlJpk2bNmb58uUmNjbWbN682Tz11FNGkilVqpTZuXOnBVuC7LZt2zZTpEgRI8nceuutpm7dui5/lStXNu4uSzmW5A0+xrj5aQK53uLFizV69Ght2rRJFy9eVOXKldWzZ08NGDDA8QYl5F179+7Vl19+qeXLl2vXrl1KSkpSaGioqlevrg4dOqhfv37cRctDypYtq/3793ss93Qa+f333/XWW29pzZo1On36tMqVK6dHHnlEL7zwgssbdXDju9p28u+//2rmzJlaunSptm/fruPHjyskJESVKlXSAw88oEGDBqlQoULXOmxcBx999JGeffZZr+q6O55wLMn9SEgAAAAAWIY+JAAAAAAsQ0ICAAAAwDIkJAAAAAAsQ0ICAAAAwDIkJAAAAAAsQ0ICAAAAwDIkJAAAAAAsQ0ICAAAAwDIkJAAAAAAsQ0ICAAAAwDIkJACQw7355pvy8fFx/E2bNs2SOM6dO+cUR9myZbNlucOHD88R2wcAsAYJCQBkwfHjxzV8+HDVq1dP4eHhCgwMVPHixVWnTh099thj+uyzz7R79+4srePZZ59VfHy8HnrooWyKOnOCg4MVHx+vDRs2ZOtyn3vuuQy3b+TIkSpUqJBWrFiRrevOTnFxcU6JVdq/VatWOdW9MgnL7iTPW8uXL1ehQoX01ltvXdf1AkBaJCQAkEk7d+5UjRo19MEHH+j+++/X8uXLFRMToxUrVuiZZ57Rpk2b1K9fP3Xs2DFL68mfP7+KFSumkJCQbIo884oVK6bIyMhsXWaBAgUy3L4vv/xSJ06c0Pz587N13dmpdOnSLgnbhg0bFB8frzvvvNOprj0JGzJkiCSpQYMGio+P18aNG69rzAsWLNCJEyc0a9as67peAEjL3+oAAOBG1bt3byUkJGj27Nl6+OGHncqqVaumli1bqnbt2hZFl7s8//zzmjBhgnr27Gl1KB75+fmpWLFiOnfunGNaZGSkihUr5lK3QIECjj9JCgwMdFvvWuvVq5f++OMP9e3b97qvGwDsSEgAIBOSkpK0du1aSVLr1q3d1ilWrJgefvhhLV++/HqGliv16NFDPXr0sDqMXKdu3br6/fffrQ4DQB7HI1sAkAk2m83x73///ddjvddee03z5s1zW3b27FmNGjVKtWrVUv78+RUSEqKqVauqZ8+eWrRokdM6rvTbb7/pnnvuUWhoqMLCwnTfffdpz549HuvHxcWpT58+KlOmjAIDAxUZGano6Gj99NNPHufZunWr2rZtq4iICOXPn1+33Xabpk+f7rF+kSJFPPaF6NGjh1Nfibi4OI/LSWvVqlVO86VNSn777TeXskOHDqlLly4qUqSIQkJCdNttt2nRokXpfi6PPvqooqKiFBwcrMqVK+u1117T2bNnLe3bkdbx48c1dOhQVa9eXSEhIQoPD9ddd92lyZMnKzU11anuE0884dJ3ZfHixWrcuLHCw8Odpqe3fZ76uKT9i4qKcon10KFDGjhwoCpUqKDg4GAVKlRIzZs3d/sdaN68uUubmDJlim655RYFBweraNGi6tu3r06dOpWtnyeAHMgAADKlRIkSRpJp3LixSUhIuKp5jxw5Ym655RYTEBBgRo0aZfbs2WN27NhhxowZY8LCwowk8+233zrN0717dyPJ9OzZ09x7771m/fr1Zs+ePebdd981fn5+pmTJkubUqVMu61q9erUJDw83kZGRZubMmWbv3r1m2bJl5o477jCSzNtvv+0yz8qVK01ISIiJiIgwU6dONbGxsWbjxo2mU6dO5vHHHzeSTJkyZVy2acOGDW7LTp48aeLj402pUqWMJBMbG+uyTvv2TZ061THt/PnzJj4+3nz00UdGkunevbuj7MKFC05lbdq0MXfddZf54YcfzL59+8ycOXNMoUKFjJ+fn9m4caPL+nbs2GEKFy5sgoKCzIcffmhiYmLMX3/9Zfr372+aNGliJBlJJj4+3hw9etR1J3oQGxvrmNfddqY1bNgwRxtyZ+/eveamm24yBQoUMOPHjzcxMTFm69atpn///kaSiY6ONufPn3fUT0pKMvHx8aZBgwZGkunXr59p2rSpWb16tdm3b5954403jCSzcuVKEx8f73F/DRs2zDz00EMmPj7e6W/Pnj2mWLFibtvN2rVrTUREhClatKiZNWuWiY2NNRs2bDAdO3Y0kkzv3r2d6h8/ftypTfTp08c89dRTZufOnebPP/80jz76qJFk2rZt6+1HD+AGRUICAJk0YcIEx4VnSEiI6dq1q5k3b55JTk7OcN7WrVsbSebdd991Kfvyyy+NJLNgwQKn6fYL9oiICHP69Gmnsvbt2xtJZsaMGU7TT5w4YYoWLWokmXXr1jmVpaSkmOLFixtfX1+zYcMGx/SzZ8+akiVLGklm4cKFTvOkpqaa2rVru72INeb/LsbdlRljTJkyZa4qIbGbOnWqS0JyZZkks2bNGqeyjz/+2Egyjz/+uMt8derUMZLMxx9/7FLWtm1bxzKvVnYlJJcuXTI1a9Y0ksxXX33lUt61a1cjyTz//PMuZY0bNzaSTMmSJU1KSopTWeXKlR2fk6f9NWzYMLef9SOPPGIkmebNmxubzeaYfvLkSVO8eHEjyaxdu9ZpntTUVNOwYUMjyYwfP95lmfY20aJFC6fpFy9eNJGRkUaSOXDggMt8AHIPHtkCgEzq27evxo8fr0KFCiklJUWzZs1Shw4dVLhwYTVt2lSffPKJkpOTXebbvHmzFi9erICAAPXr18+lvGPHjipRooQCAgLcrvehhx5S/vz5nabdfvvtkqQtW7Y4TZ8yZYqOHDmiBg0a6I477nAqCw4OVo8ePWSz2fTJJ584ps+dO1f//vuvSpYsqQceeMBpHl9fXw0YMMDzh2KhKlWquLzNytPnsnr1am3evFmBgYF6/PHHXZY1aNCgbImpRo0aTh3Yr/wbNWqUx3kXLlyobdu2OfoiXenZZ5+VJI0dO1YnTpxwu4zevXsrODjYadqePXtcPqcr9enTR8OHD3eaNnXqVH311VeKjIzUjBkz5OPj4yibMmWK4uPjVb9+fTVo0MBpPl9fXz399NOSLo+p4+lRxF69ejn939/fX3Xr1pV0+fFBALkXCQkAZEH//v118OBBzZw5Ux07dlTBggV18eJFrVy5UgMGDFCFChX0/fffO82zdOlSSVLVqlUVGhrqssyAgAD9+++/atOmjdt1VqxY0WVaoUKFJMnlwtS+rttuu83tssqXLy9JWrNmjWPaL7/8IkmOi8ErVatWze10q13N52LfxqpVq7okd1L2beOiRYu0ZcsWj3/uElK7tPsu7cW/Xa1atRQYGKhz587p119/dbuMzG5HiRIlnPqV7N27V4MGDXIMXHnlG8HssdavX9/t8uzT4+PjtW3bNrd1rmb/AchdeMsWAGRRvnz51LVrV3Xt2lWpqalas2aNZs+erenTp+vYsWPq3Lmzdu7cqTJlykiS9u/fL0mZHs+jcOHCLtP8/S8fzq/s5HzgwAFJ0meffabPP//cZT57/bQd8w8dOpRufFa8ntYb7j4X+12mKz+X67WNZcqUSbdDvP2C2x17O3HXeVy6/JrhwoULKz4+3lH3StkxZsyFCxfUuXNnnTlzRs8884yio6OvOtaiRYs61b311ltd6lzN/gOQu5CQAEA28vPzU6NGjdSoUSM999xzuu2223TixAl99dVXeumll7JlHe5+Lc/IgAED1L9//6tapjHmqteTkWuxTLvMfC7XMp6cIDOfyZVeeOEF/fnnn6pdu7beeeedbIjKveyIFcCNiUe2ACCTRo0apfXr13ssL1++vDp37ixJTq+5td8pSUxMvKbxpV2XMUYVK1b0+FehQgXHPKVKlUo3voSEBI/r8/Pzk+T5F+1jx45lajuyW1a28Xqx77sjR464LU9NTdV///3nVDe7/fjjj/r444+VP39+zZ49W4GBgZmKNe30axUrgBsXCQkAZNLEiRPTHeNCkqNDcdpHZ1q2bClJ2r17t9sxFlJSUtSqVStNnDgxyzHa17Vhwwa35cYYtWjRQs8995xjWuPGjSVJf/zxh9t5du3a5XF94eHhktw/8x8fH6+zZ896F/g1Zt/GPXv26PTp0y7l6W3j9WLfdxs3bnTbEXzLli26cOGCgoOD1ahRo2xf/+HDhx3jvowdO1aVK1d2Kp82bZrjs7PH6ilBt7e/4sWLq2bNmtkeK4AbGwkJAGTBF198oaSkJLdlp0+f1oIFC+Tj46MHH3zQMb1OnTpq3bq1Ll68qAkTJrjMN23aNP3000+qXbt2luN7/PHHVaxYMa1bt84xsnxas2bN0vLly9WkSRPHtI4dO6pkyZI6fPiwvvvuO6f6NptN48eP97i+sLAwlStXTmfOnNHu3budytz1YbFKw4YNVadOHV24cMFtXGPHjrUgKmdt27bVzTffrKNHj+qrr75yKf/www8lSQMHDlRERES2rttms+mxxx5z9IHq2bOnS52ePXs67njZ29mmTZv022+/uSzr448/liS98sor8vXl0gOAM44KAJBJ9tGl77jjDk2dOlU7d+7UoUOHtHnzZk2cOFG33Xab4uLiNHz4cNWpU8dp3mnTpqlmzZp65ZVX9M477+jvv//Wzp079d5772nw4MF68cUXVa9ePUmX75gkJCQoJSVFkpSUlKSEhASlpqYqNTVVCQkJjqToyrrh4eGaP3++wsPD1bZtW02ZMkX79u3T9u3bNWrUKPXu3VuDBg3Sfffd54gtJCREM2fOVEhIiHr06KHp06dr//79+uOPP9S5c2eFhYVJkmPdx48fd9o2e1+VHj16aM2aNYqLi9Onn36qzZs366abbpJ0+VEp+2NRp0+fdrt9KSkpunDhgtvtO336dIbbnpiY6Hgk68q6kjRjxgwVLlxYL774oj7++GPH5zJw4MB0O5t7Yl9H2sfA7Nt54cIFp7r2bbbfYbBvZ9p5/fz8NG/ePJUuXdrxiul9+/Zp27ZtGjBggGbNmqXo6GiNHDnSZbn29R0/ftxlu+3Sru/Kffn2229rxYoVioiI0KBBg7R9+3aXv7Ts7SwiIkIdOnTQrFmztH//fm3atEmdO3fW6tWr9cQTTzi9MjptO7Z/VvZ40mvzAHIhS0dBAYAb2OHDh82ECRPMI488YmrUqGHCwsKMr6+vyZcvn6lcubLp1q2b+e233zzOf/r0afPmm2+amjVrmpCQEFOoUCFz5513mtmzZzsNOpd24L+0f7GxsU6D8KX9u3JwwQMHDpj+/fubsmXLmsDAQFOsWDHTpEkTM2fOHKd1pbVlyxZz//33m/DwcBMcHGyqV69u3n77bbN3716ndd1+++1O89lsNvPOO++Y8uXLm4CAAFOqVCnz4osvmnPnzjkGwbP/Xbx40TE4oLttWLlypduyYcOGZbjtV65LbgZW3Ldvn+nSpYtjxPaqVauad99911y8eNFIMj4+Pl63B0/x6P+PjJ6Wp212N6Dkf//9Z1566SVTpUoVExQUZEJDQ02DBg3MxIkTzaVLl7xarrtBDt3Vsw/QWLZsWY/bcmUbTOvAgQNmwIABply5ciYwMNAULFjQNG3a1MyZM8dl/faBMN1tf3ptHkDu42NMLn/FCAAAV+nUqVMKCwtTRESEyx0gAED24pEtAECe9Ntvv2nJkiVuy3bu3ClJbsfLAABkLxISAECetHz5cj399NO6ePGiS5n9DWfuOnMDALIXCQkAIM/au3ev2rdvr9WrV+vAgQPavHmzBgwYoM8//1ydO3fWY489ZnWIAJDr0YcEAJAnHThwQDNnztSiRYsUFxenxMREBQcH65ZbblHPnj3Vs2dPRg8HgOuAhAQAAACAZXhkCwAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWIaEBAAAAIBlSEgAAAAAWOb/AY/Vm0aM6JazAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='S', component='H2(C)',\n", - " location='consumption', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_results.schedule(results=results.results['scenario_min'], y_axis='Inv', component='LiI_Power',\n", - "# location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='Inv', component='LiI_Power_stored',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='PV',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='WF',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='production', resource='Power', transport='Grid')\n", - "plot_results.transport(results=results.results['scenario_min'], source='production', sink='consumption', resource='H2', transport='hydrogen')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_min'], y_axis='P', component='AqOff',\n", - " location='sequestration', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='production', resource='Power', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'consumption', 'Grid', 0): 0.41699999978300184,\n", - " ('generation', 'consumption', 'carbon', 0): 0.0,\n", - " ('generation', 'consumption', 'hydrogen', 0): 0.0,\n", - " ('generation', 'production', 'Grid', 0): 2.827254735651682,\n", - " ('generation', 'production', 'carbon', 0): 0.0,\n", - " ('generation', 'production', 'hydrogen', 0): 0.0,\n", - " ('generation', 'sequestration', 'Grid', 0): 0.0,\n", - " ('generation', 'sequestration', 'carbon', 0): 0.0,\n", - " ('generation', 'sequestration', 'hydrogen', 0): 0.0,\n", - " ('production', 'consumption', 'Grid', 0): 0.0,\n", - " ('production', 'consumption', 'carbon', 0): 0.0,\n", - " ('production', 'consumption', 'hydrogen', 0): 1.2438926325412467,\n", - " ('production', 'production', 'Grid', 0): 0.0,\n", - " ('production', 'production', 'carbon', 0): 0.0,\n", - " ('production', 'production', 'hydrogen', 0): 0.0,\n", - " ('production', 'sequestration', 'Grid', 0): 0.0,\n", - " ('production', 'sequestration', 'carbon', 0): 0.0,\n", - " ('production', 'sequestration', 'hydrogen', 0): 0.0}" - ] - }, - "execution_count": 51, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_min'].output['Cap_F']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_min'], source='generation', sink='production', resource='Power', transport='Grid')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[Grid]" - ] - }, - "execution_count": 53, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(scenario_min.transport_dict[('generation', 'production')])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_items([(('generation', 'production'), {Grid}), (('generation', 'sequestration'), {Grid, carbon}), (('generation', 'consumption'), {Grid}), (('production', 'production'), set()), (('production', 'sequestration'), {carbon}), (('production', 'consumption'), {hydrogen})])" - ] - }, - "execution_count": 54, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.transport_dict.items()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Power'},\n", - " ('generation', 'sequestration'): {'CO2', 'Power'},\n", - " ('generation', 'consumption'): {'Power'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'CO2'},\n", - " ('production', 'consumption'): {'H2'}}" - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.source_sink_resource_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {Grid},\n", - " ('generation', 'sequestration'): {Grid, carbon},\n", - " ('generation', 'consumption'): {Grid},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {carbon},\n", - " ('production', 'consumption'): {hydrogen}}" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario_min.transport_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'dicto' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[57], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m dicto \n", - "\u001b[1;31mNameError\u001b[0m: name 'dicto' is not defined" - ] - } - ], - "source": [ - "dicto " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/publication/scenario_sl.ipynb b/examples/publication/scenario_sl.ipynb deleted file mode 100644 index 778cdd66..00000000 --- a/examples/publication/scenario_sl.ipynb +++ /dev/null @@ -1,1450 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Energy Systems MILP Case Study (Green)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Production\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following case study considers three locations along with their fluctuating local demand, weather profiles (capacity factors), and resource (natural gas) prices.\n", - "\n", - "The following processes are considered - \n", - "\n", - "- Modular nuclear reactors (ASMR)\n", - "- Proton Exchange Membrane Electrolyzers (PEM)\n", - "- Hydrogen Storage (H2_L_c/H2_L_d)\n", - "- Natural Gas Combined Cycle with 95% carbon capture (NGCC)\n", - "- Pumped Storage Hydropower (PSH/PSH_discharge)\n", - "- Lithium-ion batteries (LiI/LiI_discharge)\n", - "- Solar Photovoltaics (PV) \n", - "- Wind Farms (WF)\n", - "- Steam Methane Reforming (SMR)\n", - "- SMR + Carbon Capture Utilization and Storage (SMRH)\n", - "- Hydrogen Fuel Cells (H2FC)\n", - "- Direct Air Capture (DAC)\n", - "- Offshore Aquifers (AQoff)\n", - "\n", - "The stated processes utilize the following resources:\n", - "\n", - "- Methane (CH4)\n", - "- Carbon Dioxide (CO2)\n", - "- CO2 in aquifer (CO2_AQoff)\n", - "- CO2 Captured from air (CO2_DAC)\n", - "- Vented CO2 (CO2_Vent)\n", - "- Hydrogen (H2)\n", - "- Water (H2O)\n", - "- Stored hydrogen (H2_L)\n", - "- Power stored in LiI (LiI_Power)\n", - "- Oxygen (O2)\n", - "- Power stored in PSH (PSH_Power)\n", - "- Power\n", - "- Solar\n", - "- Uranium\n", - "- Wind\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Nomenclature" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "$\\mathcal{R}$ - set of all resources r\n", - "\n", - "$\\mathcal{P}$ - set of all processes p\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "$\\mathcal{B}$ - set of transport modes b\n", - "\n", - "*Subsets*\n", - "\n", - "\n", - "$\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "\n", - "$\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "\n", - "$\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "\n", - "$\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "\n", - "$\\mathcal{R}^{trans}$ - set of resources that can be transported\n", - "\n", - "$\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "\n", - "$\\mathcal{T}$ - set of temporal periods p\n", - "\n", - "*Continuous Variables*\n", - "\n", - "\n", - "$P_{l,p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$C_{l,r,t}$ - consumption of r $\\in$ in $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$S_{l,r,t}$ - discharge of r $\\in$ in $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - "\n", - "$Inv_{l,r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Cap^S_{l,r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^P_{l,p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "*Binary Variables*\n", - "\n", - "$X^P_{l,p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$\n", - "\n", - "$X^S_{l,r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ \n", - "\n", - "*Parameters*\n", - "\n", - "$Cap^{P-max}_{l,p,t}$ - maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Cap^{S-max}_{l,r,t}$ - maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Capex_{l,p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "\n", - "$Vopex_{l,p,t}$ - variable operational expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$Price_{l,r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$C^{max}_{l,r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$D_{l,r,t}$ - demand for resource r $in$ $\\mathcal{R}^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "\n", - "$\\alpha$ - annualization factor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MILP Formulation" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{l \\in \\mathcal{L}} \\Big(\\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} \\alpha \\times Capex_{l,p,t} \\times Cap^P_{l,p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}} Vopex_{l,r,t} \\times P_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\sum_{b \\in \\mathcal{B}} \\Big(\\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t} Trans^{in}_{b,l,l',r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{l \\in \\mathcal{L}} Trans^{cost}_{b,r,t}Trans^{out}_{b,l,l',r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation*}\n", - " + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} C_{l,r,t} \\times Price_{l,r,t} \\Big)\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{l,r,t} \\leq Cap^{S-max}_{l,r,t} \\times X^S_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{l,p,t} \\leq Cap^{P-max}_{l,p,t} \\times X^P_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}, l \\in \\mathcal{L}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{l,p,t} \\leq Cap^{P}_{l,p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{l,r,t} \\leq Cap^{S}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{l,r,t} \\leq - D_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{l,r,t} \\leq C^{max}_{l,r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Trans^{in/out}_{b, l, l', r,t} \\leq Trans^{max-in/out}_{b, l,l', r,t} \\times X^B_{b,l,l',r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch} , (l,l') \\in \\mathcal{L}^2, b \\in \\mathcal{B} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + \\sum_{l' \\in \\mathcal{L} \\cap {l}}Trans^{in}_{l,l',r,t} = \\sum_{l' \\in \\mathcal{L} \\cap {l}} Trans^{out}_{l,l',r,t} + Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation*}\n", - " \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}, l \\in \\mathcal{L}\n", - "\\end{equation*}\n", - "\n", - "\\begin{equation}\n", - " S_{l,r,t}, C_{l,r,t}, Inv_{l,r,t}, P_{l,p,t}, Cap^P_{l,p,t}, Cap^S_{l,r,t}, Trans^{in/out}_{b,l,l',r,t} \\in R_{\\geq 0}\n", - "\\end{equation}\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Modules" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from energiapy.components.result import Result\n", - "import pandas\n", - "from itertools import product\n", - "from matplotlib import rc\n", - "import matplotlib.pyplot as plt\n", - "from energiapy.model.solve import solve\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.plot import plot_results, plot_scenario, plot_location\n", - "from energiapy.utils.nsrdb_utils import fetch_nsrdb_data\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.model.bounds import CapacityBounds\n", - "from energiapy.utils.data_utils import get_data, make_henry_price_df, remove_outliers, load_results, calculate_hourly\n", - "from energiapy.components.transport import Transport\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.network import Network\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.material import Material\n", - "from energiapy.components.case_study import CaseStudy\n", - "from energiapy.components.process import Process, VaryingProcess\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "import numpy\n", - "from energiapy.conversion.photovoltaic import solar_power_output\n", - "from energiapy.conversion.windmill import wind_power_output\n", - "from energiapy.aggregation.reduce_scenario import reduce_scenario, Clustermethod\n", - "from energiapy.aggregation.ahc import agg_hierarchial_elbow, IncludeAHC, Fit\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Data Import" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The following data is needed for the model\n", - "\n", - "- solar and wind profiles : energiapy.fetch_nsrdb_data imports data from the NREL NSRDB database\n", - "- power demand : ERCOT for Houston\n", - "- Natural Gas prices: Henry Hub \n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "horizon = 1" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather data" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The fetch_nsrdb function accesses the [National Solar Radiation Database (NSRDB)](https://nsrdb.nrel.gov/) hosted by NREL on a Amazon Web Services (AWS) cloud through the h5py module To access large datasets, an API key can be requested from NREL.\n", - "\n", - "download data at any latitude longitude (globally) or state-county (because of repetition of county names) pairs within the US.\n", - "\n", - "Skim and fetch data which match different specifications, e.g. wind data for collection point at the highest elevation in the county.\n", - "\n", - "While HSDS allows you to splice datasets, the script allows you to also find means within ranges.\n", - "\n", - "Arrange data in a dataframe for multiscale analysis, with the temporal indices as tuples. [Can be saved as .csv/.txt/.json/.pkl]\n", - "\n", - "Here, we import solar data as dni and wind data as wind speed for most populated data point in Harris county (TX) and San Diego county (SD) at an hourly resolution" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### San Diego" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016 , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# weather_sandiego = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i , state='California',\n", - "# county='San Diego', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# index = weather_sandiego.index\n", - "# weather_sandiego.index = pandas.to_datetime(weather_sandiego.index, utc = True)\n", - "# weather_sandiego.index = weather_sandiego.index.strftime('%m/%d/%Y, %r')\n", - "# weather_sandiego = weather_sandiego[~weather_sandiego.index.str.contains('02/29')]\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Houston" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston = pandas.concat([fetch_nsrdb_data(attrs=['dni', 'dhi', 'wind_speed', 'ghi', 'air_temperature', 'dew_point', 'relative_humidity', 'surface_pressure'], year=2016+i, state='Texas',\n", - "# county='Harris', resolution='hourly', get='min-elevation')[1] for i in range(5)])\n", - "# weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n", - "# weather_houston.index = weather_houston.index.strftime('%m/%d/%Y, %r')\n", - "# weather_houston = weather_houston[~weather_houston.index.str.contains('02/29')]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# weather_houston.to_csv('weather_houston.csv')\n", - "# weather_sandiego.to_csv('weather_sandiego.csv')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**OR**\n", - "\n", - "Import from existing datasets. The data in this case has been downloaded from the NSRDB Viewer" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_13960\\2873207647.py:3: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - } - ], - "source": [ - "coord_houston = (29.56999969482422, -95.05999755859375)\n", - "weather_houston = pandas.read_csv('../data/weather_houston.csv', index_col=0)\n", - "weather_houston.index = pandas.to_datetime(weather_houston.index, utc = True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "solar_houston = solar_power_output(data= weather_houston, coord=coord_houston, sam = 'cecmod', module_params= 'Canadian_Solar_Inc__CS5P_220M', \n", - " inverter = 'cecinverter', inverter_params= 'ABB__MICRO_0_25_I_OUTD_US_208__208V_', \n", - " temperature_params= 'open_rack_glass_glass', aoi_model= 'no_loss', ac_model= 'sandia', spectral_model= 'no_loss')" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\windpowerlib\\wind_turbine.py:173: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", - " self.nominal_power = float(turbine_data[\"nominal_power\"])\n", - "c:\\Users\\cacodcar\\energiapy\\.venv\\lib\\site-packages\\windpowerlib\\wind_turbine.py:175: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n", - " self.rotor_diameter = float(turbine_data[\"rotor_diameter\"])\n" - ] - } - ], - "source": [ - "wind_houston = wind_power_output(data= weather_houston, roughness_length= 0.1, turbine_type= 'V100/1800', hub_height= 92, \n", - " wind_speed_model= 'logarithmic', density_model = 'ideal_gas', temperature_model = 'linear_gradient', \n", - " power_output_model = 'power_coefficient_curve', density_correction = True, obstacle_height = 0, \n", - " observation_height = 10)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Natural gas prices\n", - "\n", - "Natural gas prices are from the Henry price index at a daily temporal resolution.\n", - "\n", - "The energia.make_henry_price_df function implicitly fills in gaps in data such as weekends and public holidays by repeating the last recorded prices For e.g. if the 4th of July will use the price for the 3rd of July a typical saturday and sunday will take the values for the last friday.\n", - "\n", - "The stretch functionality stretches the values over the hourly temporal scale (8760) from a daily temporal scale (365), again through repetition.\n", - "\n", - "Moreover, we can remove outliers usig the remove_outliers features in data_utils" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "ng_price_df = pandas.concat(\n", - " [make_henry_price_df(file_name='../data/Henry_Hub_Natural_Gas_Spot_Price_Daily.csv', year=2016 +i) for i in range(5)]) #, stretch = True" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Demand data\n", - "\n", - "Get [hourly power demand data](https://www.ercot.com/gridinfo/load/load_hist) for Houston from ERCOT Coastal region" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\cacodcar\\AppData\\Local\\Temp\\ipykernel_13960\\3085676995.py:2: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n", - " ercot.index = pandas.to_datetime(ercot.index, utc = True)\n" - ] - } - ], - "source": [ - "ercot = pandas.read_csv('../data/ercot.csv', index_col=0)\n", - "ercot.index = pandas.to_datetime(ercot.index, utc = True)\n", - "ercot.loc['2016-11-06 23:00:00'] = ercot.loc['2016-11-06 22:00:00'] #random missing value" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define temporal scale\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The variabilities of energy systems are best captured over a discretized spatio-temporal scale. In energiapy, the first declaration is the temporal scale. \n", - "\n", - "For e.g.: Here we declare three temporal scales at different levels from right to left. The interpretation of these scales is merely symentic. Scales can be declared as the problem demands.\n", - "- 0, annual, with 1 discretization\n", - "- 1, daily with 365 discretization\n", - "- 2, hourly with 24 discretization\n", - "\n", - "In essence, we are creating a temporal scale of 8760 points." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[horizon, 365, 24])\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Big and small M**" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "bigM = 10**6\n", - "smallM = 0" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare resources" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be consumed, produced, stored, discharged (or sold). Resources measured as mass (sparing Uranium) are quantified on a per metric ton basis, energy feedstock and resources us a Mega Watt (MW) basis.\n", - "\n", - "- Power and Hydrogen (H2) have varying demands which are captured using deterministic data inputs\n", - "- Methane (CH4) has varying purchase price" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Solar = Resource(name='Solar', cons_max=1000, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=1000, basis='MW', label='Wind Power')\n", - "\n", - "# Power = Resource(name='Power', basis='MW', label='Power generated', demand = True, varying= [VaryingResource.DETERMINISTIC_DEMAND])\n", - "\n", - "Power = Resource(name='Power', basis='MW', label='Power generated')\n", - "\n", - "Uranium = Resource(name='Uranium', cons_max=1000,\n", - " price=42.70/(250/2), basis='kg', label='Uranium')\n", - "\n", - "H2 = Resource(name='H2', basis='tons', label='Hydrogen')\n", - "\n", - "H2_C = Resource(name='H2(C)', basis='tons', label='Hydrogen(C)', demand = True, revenue = 0.07)\n", - "\n", - "CO2_AQoff = Resource(name='CO2_AQoff', basis='tons',\n", - " label='Carbon dioxide - sequestered', sell = True)\n", - "\n", - "H2O = Resource(name='H2O', cons_max=1000,\n", - " price=3.00, basis='tons', label='Water', block='Resource')\n", - "\n", - "CH4 = Resource(name='CH4', cons_max=1000, price=max(ng_price_df['CH4'])*1000, basis='tons',\n", - " label='Natural gas', varying=[VaryingResource.DETERMINISTIC_PRICE])\n", - "\n", - "CO2 = Resource(name='CO2', basis='tons',\n", - " label='Carbon dioxide', block='Resource')\n", - "\n", - "CO2_Vent = Resource(name='CO2_Vent', sell=True, basis='tons',\n", - " label='Carbon dioxide - Vented')\n", - "\n", - "O2 = Resource(name='O2', sell=True, basis='tons', label='Oxygen')\n", - "\n", - "CO2_DAC = Resource(name='CO2_DAC', basis='tons',\n", - " label='Carbon dioxide - captured')\n", - "\n", - "LiI_Power = Resource(name='LiI_Power', basis='MW',\n", - " label='Power in LiI', store_max=10000, store_min=smallM)\n", - "\n", - "PSH_Power = Resource(name='PSH_Power', basis='MW',\n", - " label='Power in PSH', store_max=10000, store_min=smallM)\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Declare processes" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Technology costs are derived from the NREL ATB and conversion factors are derived from literature.\n", - "\n", - "- Solar photovoltaics (PVs) and wind farms (WFs) are subject to intermittent capacity rates" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "PEM = Process(name='PEM', conversion={Power: -1, H2: 0.3537, O2: 2.8302, H2O: -3.1839}, capex=1.55*10**6, fopex=0,\n", - " vopex=0, prod_max=100, prod_min = 0, basis = 'tons', label = 'PEM' )\n", - "\n", - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=0,\n", - " prod_max=100, prod_min=0, store_max=10000, label='Lithium-ion battery', basis='MW')\n", - "\n", - "\n", - "# LiI = Process(name='LiI', conversion={Power: -1, LiI_Power: 1}, capex=1302182, fopex=41432, vopex=2000,\n", - "# store_max=10000, store_min=smallM, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery', basis='MW', block='energy_storage')\n", - "\n", - "# LiI_discharge = Process(name='LiI_discharge', conversion={Power: 1, LiI_Power: -1}, capex=0.1,\n", - "# fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Lithium-ion battery (d)', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=1462000, fopex=43000, vopex=0, land = 10800/1800,\n", - " prod_max=1000, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=1333262, fopex=22623, vopex=0, land = 10000/1800,\n", - " prod_max=1000, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n", - "\n", - "H2_Comp = Process(name='H2_Comp', conversion={Power: -0.417, H2_C: 1, H2: -1}, capex=1.6 *\n", - " 10**6, vopex=0, fopex=0, prod_max=10000, prod_min=0, label='Hydrogen Compression')\n", - "\n", - "SMRH = Process(name='SMRH', conversion={Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 1.03, CO2: 9.332}, capex=2520000, fopex=945000, vopex=51.5,\n", - " prod_max=bigM, prod_min=smallM, label='Steam methane reforming + CCUS', block='h2_prod')\n", - "\n", - "NGCC = Process(name='NGCC', conversion={Power: 1, CH4: -0.108, CO2_Vent: 0.297*0.05, CO2: 0.297 *\n", - " 0.95}, capex=2158928, fopex=53320, vopex=4090, prod_max=bigM, prod_min=smallM, label='NGCC + 95% CC', block='power_gen')\n", - "\n", - "SMR = Process(name='SMR', capex=2400, fopex=800, vopex=0.03, conversion={\n", - " Power: -1.11, CH4: -3.76, H2O: -23.7, H2: 1, CO2_Vent: 9.4979}, prod_max=bigM, prod_min=0.01, label='Steam methane reforming', block='h2_prod')\n", - "\n", - "DAC = Process(name='DAC', capex=0.02536, fopex=0.634, vopex=0, conversion={\n", - " Power: -0.193, H2O: -4.048, CO2_DAC: 1}, prod_max=bigM, prod_min=smallM, label='Direct air capture', block='ccus')\n", - "\n", - "PSH = Process(name='PSH', conversion={Power: -1, PSH_Power: 1}, capex=3924781,\n", - " fopex=17820, vopex=512.5, prod_max=bigM, prod_min=smallM, store_min=smallM, store_max=1000, label='Pumped storage hydropower', basis='MW', block='energy_storage')\n", - "\n", - "PSH_discharge = Process(name='PSH_discharge', conversion={Power: 1, PSH_Power: -1}, capex=0.1,\n", - " fopex=0.01, vopex=0, prod_max=bigM, prod_min=smallM, label='Pumped storage hydropower (d)', basis='MW')\n", - "\n", - "ASMR = Process(name='ASMR', conversion={Uranium: -4.17*10**(-5), H2O: -3.364, Power: 1},\n", - " capex=7988951, fopex=0.04*0.730, vopex=0, prod_max=bigM, prod_min=smallM, label='Small modular reactors (SMRs)', block='power_gen')\n", - "\n", - "AqOff = Process(name='AqOff', conversion={Power: -1.50, CO2_AQoff: 0.95, CO2: -1}, capex=552000,\n", - " vopex=4140, fopex=0, prod_max=bigM, prod_min=smallM, label='Offshore aquifer CO2 sequestration (SMR)', block='ccus')\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location (houston)**\n", - "\n", - "The following deterministic data inputs are provide:\n", - "\n", - "1. demand factors for Power and Hydrogen (H2) at an hourly resolution (demand_scale_level = 2)\n", - "2. price factors for Methane (CH4) at a daily resolution (price_scale_level = 1)\n", - "3. capacity factors for solar photovoltaics (PV) and wind farms (WF) at an hourly resolution (capacity_scale_level = 2)\n", - "4. capex, fopex, and vopex factors at an annual resolution for all processes (expenditure_scale_level = 0)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "location = Location(name='generation', processes= {PV, WF, LiI, PEM, SMRH, NGCC, H2_Comp, AqOff}, \n", - " capacity_factor={PV: solar_houston[:8760], WF: wind_houston[:8760]}, \n", - " scales=scales, label='site for generation', expenditure_scale_level=0, \n", - " demand_scale_level=2, capacity_scale_level=2, price_scale_level=1)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Location level plots" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "# plot_location.capacity_factor(process=PV, location=location_generation)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation)\n", - "# plot_location.price_factor(resource=CH4, location=location_production)\n", - "# # plot_location.demand_factor(resource=Power, location=houston)\n", - "\n", - "# plot_location.capacity_factor(process=PV, location=location_generation_max)\n", - "# plot_location.capacity_factor(process=WF, location=location_generation_max)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**\n", - "\n", - "The demand needs to be stated here for each resource at location.\n", - "energiapy handles demand not stated at a per location level by meeting the demand across all locations\n", - "Similarly, if resources are not stated the demand is met using all resources with demand (Process.demand = True). This does not make sense for resources with different basis but might be useful if the model needs to meet the demand for similar resources from different sources.\n", - "\n", - "The scales need to be stated here to help generate the scenario:\n", - "\n", - "1. expenditure scale level - technology expenditure decisions \n", - "2. scheduling scale level - scheduling decisions such as production levels for process; purchase, discharge (sale), consumption, and inventory levels for resources \n", - "3. network scale level - design of network i.e. the location and capacity sizing of production and storage facilities on a per unit basis\n", - "4. demand scale level - to meet the demand of a resource. Note that if this is higher than the scale for demand factor at location, energiapy will sum the demand across the lower scale\n", - "5. purchase scale level - purchase of resources that can be consumed. Needs to match the price scale level at location level" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "scenario = Scenario(name='scenario_sl', network=location, scales=scales, expenditure_scale_level=0, scheduling_scale_level=2,\n", - " network_scale_level=0, demand_scale_level=2, purchase_scale_level=1, capacity_scale_level = 2, label='full_case', demand={location:{H2_C: 0.274}}, annualization_factor = 0.15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "casestudy = CaseStudy(name = 'casestudy', scenarios= [scenario])" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[scenario_sl]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.scenarios" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint production mode\n", - "constraint inventory balance\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - }, - { - "data": { - "text/plain": [ - "{'scenario_sl': }" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "casestudy.formulate(constraints={Constraints.COST, Constraints.INVENTORY, Constraints.PRODUCTION,\n", - " Constraints.RESOURCE_BALANCE, Constraints.NETWORK, Constraints.DEMAND, Constraints.TRANSPORT}, objective=Objective.COST)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.2 build v10.0.2rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 341756 rows, 306715 columns and 931155 nonzeros\n", - "Model fingerprint: 0x1383dfe4\n", - "Variable types: 306705 continuous, 10 integer (10 binary)\n", - "Coefficient statistics:\n", - " Matrix range [2e-05, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [3e-01, 1e+06]\n", - "Presolve removed 243004 rows and 234236 columns\n", - "Presolve time: 0.65s\n", - "Presolved: 98752 rows, 72479 columns, 269974 nonzeros\n", - "Variable types: 72479 continuous, 0 integer (0 binary)\n", - "Deterministic concurrent LP optimizer: primal and dual simplex\n", - "Showing first log only...\n", - "\n", - "\n", - "Root simplex log...\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 25180 1.4673153e+07 0.000000e+00 2.283332e+08 5s\n", - " 31090 7.1908226e+06 0.000000e+00 4.028922e+08 10s\n", - " 38918 3.3706103e+06 0.000000e+00 1.559713e+08 15s\n", - " 44355 2.6055412e+06 0.000000e+00 2.794748e+07 20s\n", - " 49510 2.2644577e+06 0.000000e+00 0.000000e+00 24s\n", - "Concurrent spin time: 15.50s\n", - "\n", - "Solved with primal simplex\n", - "\n", - "Root relaxation: objective 2.264458e+06, 49510 iterations, 39.10 seconds (78.79 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "* 0 0 0 2264457.7132 2264457.71 0.00% - 40s\n", - "\n", - "Explored 1 nodes (49510 simplex iterations) in 40.05 seconds (79.94 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 1: 2.26446e+06 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 2.264457713168e+06, best bound 2.264457713166e+06, gap 0.0000%\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:pyomo.solvers:Cannot get duals for MIP.\n" - ] - } - ], - "source": [ - "results = casestudy.solve(solver='gurobi', print_solversteps=True, saveformat = '.pkl')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# results_dict = {i.name: solve(scenario=i, instance=milp_dict[i.name], solver='gurobi',\n", - "# name=f\"results_master\", print_solversteps=True, saveformat = '.pkl') for i in [scenario, scenario_max, scenario_min, scenario_mean]}" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2264457.713167999" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_sl'].output['objective']" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "943.4297041829117" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_sl'].divide_objective_by('S_network',('H2(C)', 0))" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results.results['scenario_sl'], x=CostX.PROCESS_WISE,\n", - " y=CostY.TOTAL, location='generation', fig_size=(12, 6))" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_sl'], y_axis='P', component='PEM',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('CO2_AQoff', 0): 0.0,\n", - " ('H2(C)', 0): 8759.999999999998,\n", - " ('O2', 0): 70094.86005089107}" - ] - }, - "execution_count": 116, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_sl'].output['S_network']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_sl'], y_axis='S', component='H2(C)',\n", - " location='consumption', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_sl'], y_axis='Inv', component='LiI_Power_stored',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_sl'], y_axis='P', component='PV',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_sl'], y_axis='P', component='WF',\n", - " location='generation', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.transport(results=results.results['scenario_sl'], source='generation', sink='production', resource='Power', transport='Grid')\n", - "plot_results.transport(results=results.results['scenario_sl'], source='generation', sink='sequestration', resource='CO2', transport='carbon')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results.results['scenario_sl'], y_axis='P', component='AqOff',\n", - " location='sequestration', fig_size=(9, 5), color='steelblue')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'production'): {'Grid'},\n", - " ('generation', 'sequestration'): {'Grid', 'carbon'},\n", - " ('generation', 'consumption'): {'Grid'},\n", - " ('production', 'production'): set(),\n", - " ('production', 'sequestration'): {'carbon'},\n", - " ('production', 'consumption'): {'hydrogen'}}" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.transport_avail_dict" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('generation', 'consumption', 'Grid', 0): 1.0,\n", - " ('generation', 'consumption', 'carbon', 0): None,\n", - " ('generation', 'consumption', 'hydrogen', 0): None,\n", - " ('generation', 'production', 'Grid', 0): 1.0,\n", - " ('generation', 'production', 'carbon', 0): None,\n", - " ('generation', 'production', 'hydrogen', 0): None,\n", - " ('generation', 'sequestration', 'Grid', 0): 1.0,\n", - " ('generation', 'sequestration', 'carbon', 0): 1.0,\n", - " ('generation', 'sequestration', 'hydrogen', 0): None,\n", - " ('production', 'consumption', 'Grid', 0): None,\n", - " ('production', 'consumption', 'carbon', 0): None,\n", - " ('production', 'consumption', 'hydrogen', 0): 1.0,\n", - " ('production', 'production', 'Grid', 0): None,\n", - " ('production', 'production', 'carbon', 0): None,\n", - " ('production', 'production', 'hydrogen', 0): None,\n", - " ('production', 'sequestration', 'Grid', 0): None,\n", - " ('production', 'sequestration', 'carbon', 0): 1.0,\n", - " ('production', 'sequestration', 'hydrogen', 0): None}" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_min'].output['X_T']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.15" - ] - }, - "execution_count": 85, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.annualization_factor" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "capex = results.results['scenario_sl'].output['Capex_network'][0]*0.15\n", - "fopex = results.results['scenario_sl'].output['Fopex_network'][0]\n", - "vopex = results.results['scenario_sl'].output['Vopex_network'][0]\n", - "trans = sum(results.results['scenario_sl'].output['Trans_cost'].values())" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(1319634.019937029, 1410136.7122119614, 158798582.440585, 1306313.5148431507)" - ] - }, - "execution_count": 88, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "capex, fopex, vopex, trans" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('consumption', 'AqOff', 0): 0.0,\n", - " ('consumption', 'H2_Comp', 0): 30659.999999999993,\n", - " ('consumption', 'LiI', 0): 0.0,\n", - " ('consumption', 'LiI_discharge', 0): 0.0,\n", - " ('consumption', 'PEM', 0): 0.0,\n", - " ('consumption', 'PV', 0): 0.0,\n", - " ('consumption', 'WF', 0): 0.0,\n", - " ('generation', 'AqOff', 0): 0.0,\n", - " ('generation', 'H2_Comp', 0): 0.0,\n", - " ('generation', 'LiI', 0): 18005289.57880366,\n", - " ('generation', 'LiI_discharge', 0): 0.0,\n", - " ('generation', 'PEM', 0): 0.0,\n", - " ('generation', 'PV', 0): 54638313.87597362,\n", - " ('generation', 'WF', 0): 86124318.9858077,\n", - " ('production', 'AqOff', 0): 0.0,\n", - " ('production', 'H2_Comp', 0): 0.0,\n", - " ('production', 'LiI', 0): 0.0,\n", - " ('production', 'LiI_discharge', 0): 0.0,\n", - " ('production', 'PEM', 0): 0.0,\n", - " ('production', 'PV', 0): 0.0,\n", - " ('production', 'WF', 0): 0.0,\n", - " ('sequestration', 'AqOff', 0): 0.0,\n", - " ('sequestration', 'H2_Comp', 0): 0.0,\n", - " ('sequestration', 'LiI', 0): 0.0,\n", - " ('sequestration', 'LiI_discharge', 0): 0.0,\n", - " ('sequestration', 'PEM', 0): 0.0,\n", - " ('sequestration', 'PV', 0): 0.0,\n", - " ('sequestration', 'WF', 0): 0.0}" - ] - }, - "execution_count": 90, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.results['scenario_sl'].output['Vopex_process']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : total vopex from network\n", - " Size=28, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 'AqOff', 0) : 0.0 : Vopex_process[consumption,AqOff,0] - 4140*P_location[consumption,AqOff,0] : 0.0 : True\n", - " ('consumption', 'H2_Comp', 0) : 0.0 : Vopex_process[consumption,H2_Comp,0] - 3.5*P_location[consumption,H2_Comp,0] : 0.0 : True\n", - " ('consumption', 'LiI', 0) : 0.0 : Vopex_process[consumption,LiI,0] - 2000*P_location[consumption,LiI,0] : 0.0 : True\n", - " ('consumption', 'LiI_discharge', 0) : 0.0 : Vopex_process[consumption,LiI_discharge,0] + 0*P_location[consumption,LiI_discharge,0] : 0.0 : True\n", - " ('consumption', 'PEM', 0) : 0.0 : Vopex_process[consumption,PEM,0] + 0*P_location[consumption,PEM,0] : 0.0 : True\n", - " ('consumption', 'PV', 0) : 0.0 : Vopex_process[consumption,PV,0] - 4953*P_location[consumption,PV,0] : 0.0 : True\n", - " ('consumption', 'WF', 0) : 0.0 : Vopex_process[consumption,WF,0] - 4953*P_location[consumption,WF,0] : 0.0 : True\n", - " ('generation', 'AqOff', 0) : 0.0 : Vopex_process[generation,AqOff,0] - 4140*P_location[generation,AqOff,0] : 0.0 : True\n", - " ('generation', 'H2_Comp', 0) : 0.0 : Vopex_process[generation,H2_Comp,0] - 3.5*P_location[generation,H2_Comp,0] : 0.0 : True\n", - " ('generation', 'LiI', 0) : 0.0 : Vopex_process[generation,LiI,0] - 2000*P_location[generation,LiI,0] : 0.0 : True\n", - " ('generation', 'LiI_discharge', 0) : 0.0 : Vopex_process[generation,LiI_discharge,0] + 0*P_location[generation,LiI_discharge,0] : 0.0 : True\n", - " ('generation', 'PEM', 0) : 0.0 : Vopex_process[generation,PEM,0] + 0*P_location[generation,PEM,0] : 0.0 : True\n", - " ('generation', 'PV', 0) : 0.0 : Vopex_process[generation,PV,0] - 4953*P_location[generation,PV,0] : 0.0 : True\n", - " ('generation', 'WF', 0) : 0.0 : Vopex_process[generation,WF,0] - 4953*P_location[generation,WF,0] : 0.0 : True\n", - " ('production', 'AqOff', 0) : 0.0 : Vopex_process[production,AqOff,0] - 4140*P_location[production,AqOff,0] : 0.0 : True\n", - " ('production', 'H2_Comp', 0) : 0.0 : Vopex_process[production,H2_Comp,0] - 3.5*P_location[production,H2_Comp,0] : 0.0 : True\n", - " ('production', 'LiI', 0) : 0.0 : Vopex_process[production,LiI,0] - 2000*P_location[production,LiI,0] : 0.0 : True\n", - " ('production', 'LiI_discharge', 0) : 0.0 : Vopex_process[production,LiI_discharge,0] + 0*P_location[production,LiI_discharge,0] : 0.0 : True\n", - " ('production', 'PEM', 0) : 0.0 : Vopex_process[production,PEM,0] + 0*P_location[production,PEM,0] : 0.0 : True\n", - " ('production', 'PV', 0) : 0.0 : Vopex_process[production,PV,0] - 4953*P_location[production,PV,0] : 0.0 : True\n", - " ('production', 'WF', 0) : 0.0 : Vopex_process[production,WF,0] - 4953*P_location[production,WF,0] : 0.0 : True\n", - " ('sequestration', 'AqOff', 0) : 0.0 : Vopex_process[sequestration,AqOff,0] - 4140*P_location[sequestration,AqOff,0] : 0.0 : True\n", - " ('sequestration', 'H2_Comp', 0) : 0.0 : Vopex_process[sequestration,H2_Comp,0] - 3.5*P_location[sequestration,H2_Comp,0] : 0.0 : True\n", - " ('sequestration', 'LiI', 0) : 0.0 : Vopex_process[sequestration,LiI,0] - 2000*P_location[sequestration,LiI,0] : 0.0 : True\n", - " ('sequestration', 'LiI_discharge', 0) : 0.0 : Vopex_process[sequestration,LiI_discharge,0] + 0*P_location[sequestration,LiI_discharge,0] : 0.0 : True\n", - " ('sequestration', 'PEM', 0) : 0.0 : Vopex_process[sequestration,PEM,0] + 0*P_location[sequestration,PEM,0] : 0.0 : True\n", - " ('sequestration', 'PV', 0) : 0.0 : Vopex_process[sequestration,PV,0] - 4953*P_location[sequestration,PV,0] : 0.0 : True\n", - " ('sequestration', 'WF', 0) : 0.0 : Vopex_process[sequestration,WF,0] - 4953*P_location[sequestration,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "casestudy.formulations_dict['scenario_sl'].constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_location_vopex : total vopex from location\n", - " Size=4, Index=constraint_location_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('consumption', 0) : 0.0 : Vopex_location[consumption,0] - (Vopex_process[consumption,AqOff,0] + Vopex_process[consumption,H2_Comp,0] + Vopex_process[consumption,LiI,0] + Vopex_process[consumption,LiI_discharge,0] + Vopex_process[consumption,PEM,0] + Vopex_process[consumption,PV,0] + Vopex_process[consumption,WF,0]) : 0.0 : True\n", - " ('generation', 0) : 0.0 : Vopex_location[generation,0] - (Vopex_process[generation,AqOff,0] + Vopex_process[generation,H2_Comp,0] + Vopex_process[generation,LiI,0] + Vopex_process[generation,LiI_discharge,0] + Vopex_process[generation,PEM,0] + Vopex_process[generation,PV,0] + Vopex_process[generation,WF,0]) : 0.0 : True\n", - " ('production', 0) : 0.0 : Vopex_location[production,0] - (Vopex_process[production,AqOff,0] + Vopex_process[production,H2_Comp,0] + Vopex_process[production,LiI,0] + Vopex_process[production,LiI_discharge,0] + Vopex_process[production,PEM,0] + Vopex_process[production,PV,0] + Vopex_process[production,WF,0]) : 0.0 : True\n", - " ('sequestration', 0) : 0.0 : Vopex_location[sequestration,0] - (Vopex_process[sequestration,AqOff,0] + Vopex_process[sequestration,H2_Comp,0] + Vopex_process[sequestration,LiI,0] + Vopex_process[sequestration,LiI_discharge,0] + Vopex_process[sequestration,PEM,0] + Vopex_process[sequestration,PV,0] + Vopex_process[sequestration,WF,0]) : 0.0 : True\n" - ] - } - ], - "source": [ - "casestudy.formulations_dict['scenario_sl'].constraint_location_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/small/small copy.ipynb b/examples/small/small copy.ipynb deleted file mode 100644 index 2a54dab7..00000000 --- a/examples/small/small copy.ipynb +++ /dev/null @@ -1,1381 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Small energy systems example" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A simple problem with three processes\n", - "\n", - "- Solar Photovoltaics with varying capacity factor (PV)\n", - "- Wind Farm with varying capacity factor (WF)\n", - "- Lithium-ion battery storage (LiI)\n", - "- Lithium-ion battery storage dicharge [generated implicitly] (LiI_discharge)\n", - "\n", - "\n", - "Required resources are:\n", - "\n", - "- Solar energy\n", - "- Wind energy\n", - "- Power with varying demand\n", - "- LiI_Power_stored [generated implicity]\n", - "\n", - "The problem is modeled over two scales (0,1), with 1 and 4 discretizations respectively\n", - "\n", - "- 0, network scale with 1 time period\n", - "- 1, scheduling and demand scales with 4 time periods" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Nomenclature**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The sets and variables used are stated here\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "- $\\mathcal{R}$ - set of all resources r\n", - "- $\\mathcal{P}$ - set of all processes p\n", - "- $\\mathcal{T}$ - set of temporal periods p\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Subsets*\n", - "\n", - "- $\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "- $\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "- $\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "- $\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "- $\\mathcal{T}$ - set of temporal periods \n", - "- $\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "- $\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Continuous Variables*\n", - "\n", - "- $P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $C_{r,t}$ - consumption of r $\\in$ $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $S_{r,t}$ - discharge of r $\\in$ R\\ $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - " \n", - "- $Cap^{S}_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " \n", - "- $Cap^{P}_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Parameters*" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- $Cap^{P-max}_{p,t}$- maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Cap^{S-max}_{r,t}$- maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $D_{r,t}$ - demand for resource r in $R^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**LP Formulation**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling for a single location problem.\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Input Data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Factors are normalized, and can be used to account for:\n", - "\n", - "- variable resource demand (demand_factor)\n", - "- intermittent resource availability (capacity factor)\n", - "- varying resource purchase cost (cost factor)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "demand_factor = pandas.DataFrame(data={'Power': [0.6, 0.7, 0.8, 0.3]})\n", - "capacity_factor_pv = pandas.DataFrame(data={'PV': [0.6, 0.8, 0.9, 0.7]})\n", - "capacity_factor_wf = pandas.DataFrame(data={'WF': [0.9, 0.8, 0.5, 0.7]})\n", - "availability = pandas.DataFrame(data = {'Solar': [0.95, 0.870, 0.9, 0.97] })\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare temporal scale**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Consider four seasons in a year.\n", - "\n", - "Network decisions are taken annually (scale level 0)\n", - "\n", - "Scheduling decisions are taken seasonally (scale level 1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 4])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare resources**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be declared with attributes such as maximum consumption (cons_max), resource price (price), maximum allowed inventory (store_max)\n", - "\n", - "As also whether they can be discharged (sell), have to meet demand (demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power', varying = [VaryingResource.DETERMINISTIC_AVAILABILITY])\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power', varying = [VaryingResource.DETERMINISTIC_AVAILABILITY])\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand=True,\n", - " label='Power generated', varying=[VaryingResource.DETERMINISTIC_DEMAND])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare processes**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes consume resources and can be of three type:\n", - "\n", - "- storage, if storage = some_resource \n", - "- single mode, as with the processes defined here wherein a conversions are provided\n", - "- multi mode, if a multiconversion dict is provided" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=10, store_max=100, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=990637, fopex=3354, vopex=4953,\n", - " prod_max=100, prod_min=10, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000,\n", - " prod_max=100, prod_min=10, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Locations are essentially a set of processes, the required resources are collected implicitly.\n", - "\n", - "Location-wise capacity, demand, and cost factors can be provided. \n", - "\n", - "The scales of the capacity and demand data need to be provided as well." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name='place', processes={LiI, PV, WF}, demand_factor={Power: demand_factor}, capacity_factor={PV: capacity_factor_pv, WF: capacity_factor_wf},\n", - " availability_factor = {Solar: availability, Wind: availability}, capacity_scale_level=1, demand_scale_level=1, availability_scale_level= 1, scales=scales, label='some place')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent.\n", - "\n", - "The demand, network, scheduling, and expenditure scales need to be provided. They all default to 0." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "scenario = Scenario(name='case', network=place, demand_scale_level=1, network_scale_level=0,\n", - " scheduling_scale_level=1, scales=scales, demand={place: {Power: 180}}, label='small scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'Solar': {(0, 0): 0.979381443298969,\n", - " (0, 1): 0.8969072164948454,\n", - " (0, 2): 0.9278350515463918,\n", - " (0, 3): 1.0},\n", - " 'Wind': {(0, 0): 0.979381443298969,\n", - " (0, 1): 0.8969072164948454,\n", - " (0, 2): 0.9278350515463918,\n", - " (0, 3): 1.0}}}" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scenario.availability_factor" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Plot conversion factors**" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(\n", - " scenario=case, location=place, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/cf_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=case, location=place, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![WF capacity factor](plots/cf_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.demand_factor(\n", - " scenario=case, location=place, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Power demand factor](plots/df_power.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.availability_factor(\n", - " scenario=case, location=place, resource=Solar, fig_size=(9, 5), color='red')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Formulate LP**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be formulated using different constraints and objectives.\n", - "\n", - "milp is a pyomo instance, additional constraints can be provided in a bespoke manner" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "ERROR: Rule failed when generating expression for Constraint\n", - " constraint_resource_consumption with index ('place', 'Solar', 0, 0):\n", - " KeyError: (0,)\n", - "ERROR: Constructing component 'constraint_resource_consumption' from data=None\n", - " failed: KeyError: (0,)\n" - ] - }, - { - "ename": "KeyError", - "evalue": "(0,)", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[14], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m lp \u001b[39m=\u001b[39m formulate(scenario\u001b[39m=\u001b[39;49mcase, constraints\u001b[39m=\u001b[39;49m{Constraints\u001b[39m.\u001b[39;49mCOST, Constraints\u001b[39m.\u001b[39;49mINVENTORY,\n\u001b[0;32m 2\u001b[0m Constraints\u001b[39m.\u001b[39;49mPRODUCTION, Constraints\u001b[39m.\u001b[39;49mRESOURCE_BALANCE}, objective\u001b[39m=\u001b[39;49mObjective\u001b[39m.\u001b[39;49mCOST)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\small\\../../src\\energiapy\\model\\formulate.py:400\u001b[0m, in \u001b[0;36mformulate\u001b[1;34m(scenario, constraints, objective, write_lpfile, gwp, land_restriction, gwp_reduction_pct, model_class, objective_resource, inventory_zero, demand_sign)\u001b[0m\n\u001b[0;32m 396\u001b[0m \u001b[39mif\u001b[39;00m Constraints\u001b[39m.\u001b[39mRESOURCE_BALANCE \u001b[39min\u001b[39;00m constraints:\n\u001b[0;32m 397\u001b[0m constraint_inventory_balance(instance\u001b[39m=\u001b[39minstance, scheduling_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level,\n\u001b[0;32m 398\u001b[0m multiconversion\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mmulticonversion, mode_dict\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mmode_dict, inventory_zero\u001b[39m=\u001b[39minventory_zero)\n\u001b[1;32m--> 400\u001b[0m constraint_resource_consumption(instance\u001b[39m=\u001b[39;49minstance, loc_res_dict\u001b[39m=\u001b[39;49mscenario\u001b[39m.\u001b[39;49mloc_res_dict,\n\u001b[0;32m 401\u001b[0m cons_max\u001b[39m=\u001b[39;49mscenario\u001b[39m.\u001b[39;49mcons_max,\n\u001b[0;32m 402\u001b[0m scheduling_scale_level\u001b[39m=\u001b[39;49mscenario\u001b[39m.\u001b[39;49mscheduling_scale_level, availability_scale_level\u001b[39m=\u001b[39;49mscenario\u001b[39m.\u001b[39;49mavailability_scale_level,\n\u001b[0;32m 403\u001b[0m availability_factor\u001b[39m=\u001b[39;49mscenario\u001b[39m.\u001b[39;49mavailability_factor)\n\u001b[0;32m 405\u001b[0m constraint_resource_purchase(instance\u001b[39m=\u001b[39minstance, price_factor\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mprice_factor, price\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mprice,\n\u001b[0;32m 406\u001b[0m loc_res_dict\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mloc_res_dict,\n\u001b[0;32m 407\u001b[0m scheduling_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level,\n\u001b[0;32m 408\u001b[0m purchase_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mpurchase_scale_level)\n\u001b[0;32m 410\u001b[0m constraint_location_production(\n\u001b[0;32m 411\u001b[0m instance\u001b[39m=\u001b[39minstance, network_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mnetwork_scale_level, cluster_wt\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mcluster_wt, scheduling_scale_level\u001b[39m=\u001b[39mscenario\u001b[39m.\u001b[39mscheduling_scale_level)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\small\\../../src\\energiapy\\model\\constraints\\resource_balance.py:56\u001b[0m, in \u001b[0;36mconstraint_resource_consumption\u001b[1;34m(instance, loc_res_dict, cons_max, scheduling_scale_level, availability_scale_level, availability_factor)\u001b[0m\n\u001b[0;32m 53\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 54\u001b[0m \u001b[39mreturn\u001b[39;00m instance\u001b[39m.\u001b[39mC[location, resource, scale_list[:scheduling_scale_level \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m]] \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m\n\u001b[1;32m---> 56\u001b[0m instance\u001b[39m.\u001b[39;49mconstraint_resource_consumption \u001b[39m=\u001b[39m Constraint(\n\u001b[0;32m 57\u001b[0m instance\u001b[39m.\u001b[39mlocations, instance\u001b[39m.\u001b[39mresources_purch, \u001b[39m*\u001b[39m\n\u001b[0;32m 58\u001b[0m scales, rule\u001b[39m=\u001b[39mresource_consumption_rule,\n\u001b[0;32m 59\u001b[0m doc\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mresource consumption\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m 60\u001b[0m constraint_latex_render(resource_consumption_rule)\n\u001b[0;32m 61\u001b[0m \u001b[39mreturn\u001b[39;00m instance\u001b[39m.\u001b[39mconstraint_resource_consumption\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\block.py:649\u001b[0m, in \u001b[0;36m_BlockData.__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 644\u001b[0m \u001b[39mif\u001b[39;00m name \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__dict__\u001b[39m:\n\u001b[0;32m 645\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(val, Component):\n\u001b[0;32m 646\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 647\u001b[0m \u001b[39m# Pyomo components are added with the add_component method.\u001b[39;00m\n\u001b[0;32m 648\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[1;32m--> 649\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49madd_component(name, val)\n\u001b[0;32m 650\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 651\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 652\u001b[0m \u001b[39m# Other Python objects are added with the standard __setattr__\u001b[39;00m\n\u001b[0;32m 653\u001b[0m \u001b[39m# method.\u001b[39;00m\n\u001b[0;32m 654\u001b[0m \u001b[39m#\u001b[39;00m\n\u001b[0;32m 655\u001b[0m \u001b[39msuper\u001b[39m(_BlockData, \u001b[39mself\u001b[39m)\u001b[39m.\u001b[39m\u001b[39m__setattr__\u001b[39m(name, val)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\block.py:1219\u001b[0m, in \u001b[0;36m_BlockData.add_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1215\u001b[0m logger\u001b[39m.\u001b[39mdebug(\u001b[39m\"\u001b[39m\u001b[39mConstructing \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m'\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m on \u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m from data=\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m\"\u001b[39m,\n\u001b[0;32m 1216\u001b[0m val\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m, name,\n\u001b[0;32m 1217\u001b[0m _blockName, \u001b[39mstr\u001b[39m(data))\n\u001b[0;32m 1218\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m-> 1219\u001b[0m val\u001b[39m.\u001b[39;49mconstruct(data)\n\u001b[0;32m 1220\u001b[0m \u001b[39mexcept\u001b[39;00m:\n\u001b[0;32m 1221\u001b[0m err \u001b[39m=\u001b[39m sys\u001b[39m.\u001b[39mexc_info()[\u001b[39m1\u001b[39m]\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\constraint.py:763\u001b[0m, in \u001b[0;36mConstraint.construct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 760\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 761\u001b[0m \u001b[39m# Bypass the index validation and create the member directly\u001b[39;00m\n\u001b[0;32m 762\u001b[0m \u001b[39mfor\u001b[39;00m index \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindex_set():\n\u001b[1;32m--> 763\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_setitem_when_not_present(index, rule(block, index))\n\u001b[0;32m 764\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mException\u001b[39;00m:\n\u001b[0;32m 765\u001b[0m err \u001b[39m=\u001b[39m sys\u001b[39m.\u001b[39mexc_info()[\u001b[39m1\u001b[39m]\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\ki\\lib\\site-packages\\pyomo\\core\\base\\initializer.py:302\u001b[0m, in \u001b[0;36mIndexedCallInitializer.__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 296\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__call__\u001b[39m(\u001b[39mself\u001b[39m, parent, idx):\n\u001b[0;32m 297\u001b[0m \u001b[39m# Note: this is called by a component using data from a Set (so\u001b[39;00m\n\u001b[0;32m 298\u001b[0m \u001b[39m# any tuple-like type should have already been checked and\u001b[39;00m\n\u001b[0;32m 299\u001b[0m \u001b[39m# converted to a tuple; or flattening is turned off and it is\u001b[39;00m\n\u001b[0;32m 300\u001b[0m \u001b[39m# the user's responsibility to sort things out.\u001b[39;00m\n\u001b[0;32m 301\u001b[0m \u001b[39mif\u001b[39;00m idx\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m \u001b[39mis\u001b[39;00m \u001b[39mtuple\u001b[39m:\n\u001b[1;32m--> 302\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_fcn(parent, \u001b[39m*\u001b[39;49midx)\n\u001b[0;32m 303\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 304\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_fcn(parent, idx)\n", - "File \u001b[1;32mc:\\Users\\cacodcar\\energiapy\\examples\\small\\../../src\\energiapy\\model\\constraints\\resource_balance.py:52\u001b[0m, in \u001b[0;36mconstraint_resource_consumption..resource_consumption_rule\u001b[1;34m(instance, location, resource, *scale_list)\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[39mreturn\u001b[39;00m instance\u001b[39m.\u001b[39mC[location, resource, scale_list[:scheduling_scale_level \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m]] \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m cons_max[location][resource]\n\u001b[0;32m 51\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m---> 52\u001b[0m \u001b[39mreturn\u001b[39;00m instance\u001b[39m.\u001b[39mC[location, resource, scale_list[:scheduling_scale_level \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m]] \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m availability_factor[location][resource][scale_list[:availability_scale_level \u001b[39m+\u001b[39;49m \u001b[39m1\u001b[39;49m]]\u001b[39m*\u001b[39mcons_max[location][resource]\n\u001b[0;32m 53\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m 54\u001b[0m \u001b[39mreturn\u001b[39;00m instance\u001b[39m.\u001b[39mC[location, resource, scale_list[:scheduling_scale_level \u001b[39m+\u001b[39m \u001b[39m1\u001b[39m]] \u001b[39m<\u001b[39m\u001b[39m=\u001b[39m \u001b[39m0\u001b[39m\n", - "\u001b[1;31mKeyError\u001b[0m: (0,)" - ] - } - ], - "source": [ - "lp = formulate(scenario=case, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.COST)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Solve**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To solve the model, the solve requires a scenario and a modeling instance to be provided. \n", - "\n", - "Also a solver needs to be chosen." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 124 rows, 110 columns and 270 nonzeros\n", - "Model fingerprint: 0x541c0b7d\n", - "Coefficient statistics:\n", - " Matrix range [6e-01, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e+01, 2e+02]\n", - "Presolve removed 105 rows and 89 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 19 rows, 21 columns, 51 nonzeros\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 1.3367211e+08 5.824405e+01 0.000000e+00 0s\n", - " 18 2.7920430e+08 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 18 iterations and 0.01 seconds (0.00 work units)\n", - "Optimal objective 2.792042961e+08\n" - ] - } - ], - "source": [ - "results = solve(scenario=case, instance=lp, solver='gurobi', name='LP')\n", - "# results = solve(scenario=case, instance=lp, solver='BARON', interface= 'gams', name='LP')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_resource_consumption : resource consumption\n", - " Size=8, Index=constraint_resource_consumption_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Solar', 0, 0) : -Inf : C[place,Solar,0,0] : 97.9381443298969 : True\n", - " ('place', 'Solar', 0, 1) : -Inf : C[place,Solar,0,1] : 89.69072164948454 : True\n", - " ('place', 'Solar', 0, 2) : -Inf : C[place,Solar,0,2] : 92.78350515463917 : True\n", - " ('place', 'Solar', 0, 3) : -Inf : C[place,Solar,0,3] : 100.0 : True\n", - " ('place', 'Wind', 0, 0) : -Inf : C[place,Wind,0,0] : 97.9381443298969 : True\n", - " ('place', 'Wind', 0, 1) : -Inf : C[place,Wind,0,1] : 89.69072164948454 : True\n", - " ('place', 'Wind', 0, 2) : -Inf : C[place,Wind,0,2] : 92.78350515463917 : True\n", - " ('place', 'Wind', 0, 3) : -Inf : C[place,Wind,0,3] : 100.0 : True\n" - ] - } - ], - "source": [ - "lp.constraint_resource_consumption.pprint()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be summarized as shown below:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'termination': 'optimal',\n", - " 'LB': 279204296.1426116,\n", - " 'UB': 279204296.1426116,\n", - " 'n_cons': 124,\n", - " 'n_vars': 110,\n", - " 'n_binvars': 0,\n", - " 'n_intvars': 0,\n", - " 'n_convars': 110,\n", - " 'n_nonzero': 270,\n", - " 'P': {('place', 'LiI', 0, 0): 17.797823596792625,\n", - " ('place', 'LiI', 0, 1): 13.863115693012645,\n", - " ('place', 'LiI', 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 3): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 2): 31.66093928980527,\n", - " ('place', 'LiI_discharge', 0, 3): 0.0,\n", - " ('place', 'PV', 0, 0): 54.8596792668957,\n", - " ('place', 'PV', 0, 1): 82.47422680412372,\n", - " ('place', 'PV', 0, 2): 92.78350515463917,\n", - " ('place', 'PV', 0, 3): 0.0,\n", - " ('place', 'WF', 0, 0): 97.9381443298969,\n", - " ('place', 'WF', 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 3): 67.49999999999999},\n", - " 'B': {('place', 'Solar', 0, 0): 0.0,\n", - " ('place', 'Solar', 0, 1): 0.0,\n", - " ('place', 'Solar', 0, 2): 0.0,\n", - " ('place', 'Solar', 0, 3): 0.0,\n", - " ('place', 'Wind', 0, 0): 0.0,\n", - " ('place', 'Wind', 0, 1): 0.0,\n", - " ('place', 'Wind', 0, 2): 0.0,\n", - " ('place', 'Wind', 0, 3): 0.0},\n", - " 'C': {('place', 'Solar', 0, 0): 54.8596792668957,\n", - " ('place', 'Solar', 0, 1): 82.47422680412372,\n", - " ('place', 'Solar', 0, 2): 92.78350515463917,\n", - " ('place', 'Solar', 0, 3): 0.0,\n", - " ('place', 'Wind', 0, 0): 97.9381443298969,\n", - " ('place', 'Wind', 0, 1): 88.8888888888889,\n", - " ('place', 'Wind', 0, 2): 55.55555555555556,\n", - " ('place', 'Wind', 0, 3): 67.49999999999999},\n", - " 'S': {('place', 'Power', 0, 0): 134.99999999999997,\n", - " ('place', 'Power', 0, 1): 157.49999999999997,\n", - " ('place', 'Power', 0, 2): 180.0,\n", - " ('place', 'Power', 0, 3): 67.49999999999999},\n", - " 'R': {('place', 'Power', 0, 0): None,\n", - " ('place', 'Power', 0, 1): None,\n", - " ('place', 'Power', 0, 2): None,\n", - " ('place', 'Power', 0, 3): None},\n", - " 'Inv': {('place', 'LiI_Power_stored', 0, 0): 17.797823596792625,\n", - " ('place', 'LiI_Power_stored', 0, 1): 31.66093928980527,\n", - " ('place', 'LiI_Power_stored', 0, 2): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 3): 0.0},\n", - " 'P_m': {('place', 'LiI', 0, 0, 0): 17.797823596792625,\n", - " ('place', 'LiI', 0, 0, 1): 13.863115693012645,\n", - " ('place', 'LiI', 0, 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 0, 3): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 2): 31.66093928980527,\n", - " ('place', 'LiI_discharge', 0, 0, 3): 0.0,\n", - " ('place', 'WF', 0, 0, 0): 97.9381443298969,\n", - " ('place', 'WF', 0, 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 0, 3): 67.49999999999999,\n", - " ('place', 'PV', 0, 0, 0): 54.8596792668957,\n", - " ('place', 'PV', 0, 0, 1): 82.47422680412372,\n", - " ('place', 'PV', 0, 0, 2): 92.78350515463917,\n", - " ('place', 'PV', 0, 0, 3): 0.0},\n", - " 'Cap_P': {('place', 'LiI', 0): 17.797823596792625,\n", - " ('place', 'LiI_discharge', 0): 100.0,\n", - " ('place', 'PV', 0): 92.78350515463917,\n", - " ('place', 'WF', 0): 100.0},\n", - " 'Cap_S': {('place', 'LiI_Power_stored', 0): 100.0},\n", - " 'P_location': {('place', 'LiI', 0): 31.66093928980527,\n", - " ('place', 'LiI_discharge', 0): 31.66093928980527,\n", - " ('place', 'PV', 0): 230.1174112256586,\n", - " ('place', 'WF', 0): 309.88258877434134},\n", - " 'S_location': {('place', 'Power', 0): 540.0},\n", - " 'R_location': {('place', 'Power', 0): None},\n", - " 'C_location': {('place', 'Solar', 0): 230.1174112256586,\n", - " ('place', 'Wind', 0): 309.88258877434134},\n", - " 'B_location': {('place', 'Solar', 0): 0.0, ('place', 'Wind', 0): 0.0},\n", - " 'P_network': {('LiI', 0): 31.66093928980527,\n", - " ('LiI_discharge', 0): 31.66093928980527,\n", - " ('PV', 0): 230.1174112256586,\n", - " ('WF', 0): 309.88258877434134},\n", - " 'S_network': {('Power', 0): 540.0},\n", - " 'R_network': {('Power', 0): None},\n", - " 'C_network': {('Solar', 0): 230.1174112256586,\n", - " ('Wind', 0): 309.88258877434134},\n", - " 'B_network': {('Solar', 0): 0.0, ('Wind', 0): 0.0},\n", - " 'Fopex_process': {('place', 'LiI', 0): 737399.427262312,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 80911484.53608248,\n", - " ('place', 'WF', 0): 335400.0},\n", - " 'Vopex_process': {('place', 'LiI', 0): 63321.878579610544,\n", - " ('place', 'LiI_discharge', 0): 63321.878579610544,\n", - " ('place', 'PV', 0): 20710567.010309275,\n", - " ('place', 'WF', 0): 1534848.4621993126},\n", - " 'Capex_process': {('place', 'LiI', 0): 23176005.526918616,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 52608247.42268041,\n", - " ('place', 'WF', 0): 99063700.0},\n", - " 'Incidental_process': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'WF', 0): 0.0},\n", - " 'Fopex_location': {('place', 0): 81984283.96334478},\n", - " 'Vopex_location': {('place', 0): 22372059.22966781},\n", - " 'Capex_location': {('place', 0): 174847952.94959903},\n", - " 'Incidental_location': {('place', 0): 0.0},\n", - " 'Fopex_network': {0: 81984283.96334478},\n", - " 'Vopex_network': {0: 22372059.22966781},\n", - " 'Capex_network': {0: 174847952.94959903},\n", - " 'Incidental_network': {0: 0.0},\n", - " 'Cost': {None: None},\n", - " 'objective': 279204296.1426116}" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SUMMARY:\n", - " number of constraints: 124\n", - " number of variables: 110\n", - " number of binary variables: 0\n", - " number of integer variables: 0\n", - " number of continuous variables: 110\n" - ] - } - ], - "source": [ - "results.model_summary()\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Results**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some handy plotting functions such as schedule can plot the consumption (C), sales(S), inventory schedules (Inv) for any resource, and production (P) for any process. Component can be either a process or resource. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='PV',\n", - " location='place', fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV schedule](plots/sch_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='WF',\n", - " location='place', fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![WF schedule](plots/sch_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='LiI',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI schedule](plots/sch_lii.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='LiI_discharge',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI charging schedule](plots/sch_lii_charge.png)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='Inv', component='LiI_Power_stored',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI discharging schedule](plots/sch_lii_dcharge.png)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.CAPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Capex](plots/capex.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.FOPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Fopex](plots/fopex.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.VOPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Vopex](plots/vopex.png)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Accessing results and inputs**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All inputs are stored in results.component\n", - "\n", - "All outputs are stored in results.output\n", - "\n", - "Values can be accessed as shown below" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'LiI', 0): 17.797823596792625,\n", - " ('place', 'LiI_discharge', 0): 100.0,\n", - " ('place', 'PV', 0): 92.78350515463917,\n", - " ('place', 'WF', 0): 100.0}" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['Cap_P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'LiI', 0, 0): 17.797823596792625,\n", - " ('place', 'LiI', 0, 1): 13.863115693012645,\n", - " ('place', 'LiI', 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 3): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 2): 31.66093928980527,\n", - " ('place', 'LiI_discharge', 0, 3): 0.0,\n", - " ('place', 'PV', 0, 0): 54.8596792668957,\n", - " ('place', 'PV', 0, 1): 82.47422680412372,\n", - " ('place', 'PV', 0, 2): 92.78350515463917,\n", - " ('place', 'PV', 0, 3): 0.0,\n", - " ('place', 'WF', 0, 0): 97.9381443298969,\n", - " ('place', 'WF', 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 3): 67.49999999999999}" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'constraint_process_capex': {('place', 'LiI', 0): 1.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 1.0,\n", - " ('place', 'WF', 0): 1.0},\n", - " 'constraint_process_fopex': {('place', 'LiI', 0): 1.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 1.0,\n", - " ('place', 'WF', 0): 1.0},\n", - " 'constraint_process_vopex': {('place', 'LiI', 0): 1.0,\n", - " ('place', 'LiI_discharge', 0): 1.0,\n", - " ('place', 'PV', 0): 1.0,\n", - " ('place', 'WF', 0): 1.0},\n", - " 'constraint_process_incidental': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'WF', 0): 0.0},\n", - " 'constraint_location_capex': {('place', 0): 1.0},\n", - " 'constraint_location_fopex': {('place', 0): 1.0},\n", - " 'constraint_location_vopex': {('place', 0): 1.0},\n", - " 'constraint_location_incidental': {('place', 0): 1.0},\n", - " 'constraint_network_capex': {0: 1.0},\n", - " 'constraint_network_fopex': {0: 1.0},\n", - " 'constraint_network_vopex': {0: 1.0},\n", - " 'constraint_network_incidental': {0: 1.0},\n", - " 'constraint_nameplate_inventory': {('place', 'LiI_Power_stored', 0, 0): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 1): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 2): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 3): 0.0},\n", - " 'constraint_storage_max': {('place', 'LiI_Power_stored', 0): 0.0},\n", - " 'constraint_storage_min': {('place', 'LiI_Power_stored', 0): 0.0},\n", - " 'constraint_production_mode': {('place', 'LiI', 0, 0): 1345614.0,\n", - " ('place', 'LiI', 0, 1): 2000.0,\n", - " ('place', 'LiI', 0, 2): 2000.0,\n", - " ('place', 'LiI', 0, 3): 2000.0,\n", - " ('place', 'LiI_discharge', 0, 0): -1345614.0,\n", - " ('place', 'LiI_discharge', 0, 1): -2000.0,\n", - " ('place', 'LiI_discharge', 0, 2): 2000.0,\n", - " ('place', 'LiI_discharge', 0, 3): 2000.0,\n", - " ('place', 'PV', 0, 0): 90000.0,\n", - " ('place', 'PV', 0, 1): 1433614.0,\n", - " ('place', 'PV', 0, 2): 334722.44444444426,\n", - " ('place', 'PV', 0, 3): 90000.0,\n", - " ('place', 'WF', 0, 0): 4953.0,\n", - " ('place', 'WF', 0, 1): 1433614.0,\n", - " ('place', 'WF', 0, 2): 1437614.0,\n", - " ('place', 'WF', 0, 3): 4953.0},\n", - " 'constraint_nameplate_production': {('place', 'LiI', 0, 0): -1343614.0,\n", - " ('place', 'LiI', 0, 1): 0.0,\n", - " ('place', 'LiI', 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 3): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 2): 0.0,\n", - " ('place', 'LiI_discharge', 0, 3): 0.0,\n", - " ('place', 'PV', 0, 0): 0.0,\n", - " ('place', 'PV', 0, 1): -1343614.0,\n", - " ('place', 'PV', 0, 2): -244722.44444444426,\n", - " ('place', 'PV', 0, 3): 0.0,\n", - " ('place', 'WF', 0, 0): 0.0,\n", - " ('place', 'WF', 0, 1): -1428661.0,\n", - " ('place', 'WF', 0, 2): -1432661.0,\n", - " ('place', 'WF', 0, 3): 0.0},\n", - " 'constraint_production_max': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'WF', 0): -1071852.666666667},\n", - " 'constraint_production_min': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'WF', 0): 0.0},\n", - " 'constraint_inventory_balance': {('place',\n", - " 'LiI_Power_stored',\n", - " 0,\n", - " 0): 1435614.0,\n", - " ('place', 'LiI_Power_stored', 0, 1): 1435614.0,\n", - " ('place', 'LiI_Power_stored', 0, 2): 1435614.0,\n", - " ('place', 'LiI_Power_stored', 0, 3): 2953.0,\n", - " ('place', 'Power', 0, 0): 90000.0,\n", - " ('place', 'Power', 0, 1): 1433614.0,\n", - " ('place', 'Power', 0, 2): 1437614.0,\n", - " ('place', 'Power', 0, 3): 4953.0,\n", - " ('place', 'Solar', 0, 0): 0.0,\n", - " ('place', 'Solar', 0, 1): 0.0,\n", - " ('place', 'Solar', 0, 2): 1102891.5555555557,\n", - " ('place', 'Solar', 0, 3): 0.0,\n", - " ('place', 'Wind', 0, 0): 85047.0,\n", - " ('place', 'Wind', 0, 1): 0.0,\n", - " ('place', 'Wind', 0, 2): 0.0,\n", - " ('place', 'Wind', 0, 3): 0.0},\n", - " 'constraint_resource_consumption': {('place', 'Solar', 0, 0): 0.0,\n", - " ('place', 'Solar', 0, 1): 0.0,\n", - " ('place', 'Solar', 0, 2): -1102891.5555555557,\n", - " ('place', 'Solar', 0, 3): 0.0,\n", - " ('place', 'Wind', 0, 0): -85047.0,\n", - " ('place', 'Wind', 0, 1): 0.0,\n", - " ('place', 'Wind', 0, 2): 0.0,\n", - " ('place', 'Wind', 0, 3): 0.0},\n", - " 'constraint_resource_purchase': {('place', 'Solar', 0, 0): 0.0,\n", - " ('place', 'Solar', 0, 1): 0.0,\n", - " ('place', 'Solar', 0, 2): 0.0,\n", - " ('place', 'Solar', 0, 3): 0.0,\n", - " ('place', 'Wind', 0, 0): 0.0,\n", - " ('place', 'Wind', 0, 1): 0.0,\n", - " ('place', 'Wind', 0, 2): 0.0,\n", - " ('place', 'Wind', 0, 3): 0.0},\n", - " 'constraint_location_production': {('place', 'LiI', 0): 2000.0,\n", - " ('place', 'LiI_discharge', 0): 2000.0,\n", - " ('place', 'PV', 0): 90000.0,\n", - " ('place', 'WF', 0): 4953.0},\n", - " 'constraint_location_discharge': {('place', 'Power', 0): 0.0},\n", - " 'constraint_location_consumption': {('place', 'Solar', 0): 0.0,\n", - " ('place', 'Wind', 0): 0.0},\n", - " 'constraint_location_purchase': {('place', 'Solar', 0): 1.0,\n", - " ('place', 'Wind', 0): 1.0},\n", - " 'constraint_network_production': {('LiI', 0): 0.0,\n", - " ('LiI_discharge', 0): 0.0,\n", - " ('PV', 0): 0.0,\n", - " ('WF', 0): 0.0},\n", - " 'constraint_network_discharge': {('Power', 0): 0.0},\n", - " 'constraint_network_consumption': {('Solar', 0): 0.0, ('Wind', 0): 0.0},\n", - " 'constraint_network_purchase': {('Solar', 0): 1.0, ('Wind', 0): 1.0},\n", - " 'constraint_demand': {('place', 'Power', 0, 0): 90000.0,\n", - " ('place', 'Power', 0, 1): 1433614.0,\n", - " ('place', 'Power', 0, 2): 1437614.0,\n", - " ('place', 'Power', 0, 3): 4953.0}}" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.duals" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/small/small-lp.ipynb b/examples/small/small-lp.ipynb deleted file mode 100644 index 8dec2134..00000000 --- a/examples/small/small-lp.ipynb +++ /dev/null @@ -1,391 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Small energy systems MILP example" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Nomenclature**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The sets and variables used are stated here\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "- $\\mathcal{R}$ - set of all resources r\n", - "- $\\mathcal{P}$ - set of all processes p\n", - "- $\\mathcal{T}$ - set of temporal periods p\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Subsets*\n", - "\n", - "- $\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "- $\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "- $\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "- $\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "- $\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "- $\\mathcal{T}$ - set of temporal periods \n", - "- $\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "- $\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Continuous Variables*\n", - "\n", - "- $P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $C_{r,t}$ - consumption of r $\\in$ $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $S_{r,t}$ - discharge of r $\\in$ R\\ $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - " \n", - "- $Cap^{S}_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " \n", - "- $Cap^{P}_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Binary Variables*\n", - "\n", - "- $X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $X^S_{r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- $Cap^{P-max}_{p,t}$- maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Cap^{S-max}_{r,t}$- maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $D_{r,t}$ - demand for resource r in $R^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**MILP Formulation**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling for a single location problem.\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "def lp():\n", - " \"\"\"small MILP test\n", - "\n", - " Returns:\n", - " pyomo.ConcereteModel: pyomo model\n", - " \"\"\"\n", - " price_factor = pandas.DataFrame(data={'resource1': [0.5, 0.5, 0.5]})\n", - " demand_factor = pandas.DataFrame(data={'resource2': [0.5, 0.5, 1]})\n", - " capacity_factor = pandas.DataFrame(data={'process2': [1, 0.5, 1]})\n", - " scales = TemporalScale(discretization_list=[1, 3])\n", - " resource1 = Resource(name='resource1', cons_max=100, price = 10)\n", - " resource2 = Resource(name='resource2', demand=True, varying=VaryingResource.DETERMINISTIC_DEMAND)\n", - " process1 = Process(name='process1', storage=resource2, capex=1000,\n", - " fopex=100, vopex=100, prod_max=100, store_max=100)\n", - " process2 = Process(name='process2', conversion={resource1: -0.5, resource2: 1}, capex=1000,\n", - " fopex=100, vopex=100, prod_max=100, varying=VaryingProcess.DETERMINISTIC_CAPACITY)\n", - " place = Location(name='place', processes={process1, process2},\n", - " demand_factor={resource2: demand_factor}, capacity_factor={process2: capacity_factor}, price_factor={resource1: price_factor},\n", - " expenditure_scale_level=0, price_scale_level=1, capacity_scale_level=1, demand_scale_level=1,\n", - " scales=scales, label='some place')\n", - " case = Scenario(name='case', network=place,\n", - " expenditure_scale_level=0, purchase_scale_level=1, network_scale_level=0, demand_scale_level=1, scheduling_scale_level=1,\n", - " scales=scales, demand={place: {resource2:100}})\n", - " constraints = {Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}\n", - " objective = Objective.COST\n", - " return case, formulate(scenario=case, constraints=constraints, objective=objective, objective_resource=resource2)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "scenario, LP = lp()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 79 rows, 67 columns and 169 nonzeros\n", - "Model fingerprint: 0xda23639e\n", - "Coefficient statistics:\n", - " Matrix range [5e-01, 1e+03]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [5e+01, 1e+02]\n", - "Presolve removed 69 rows and 56 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 10 rows, 11 columns, 26 nonzeros\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 6.0188440e+04 1.875650e+01 0.000000e+00 0s\n", - " 6 1.3100000e+05 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 6 iterations and 0.01 seconds (0.00 work units)\n", - "Optimal objective 1.310000000e+05\n" - ] - } - ], - "source": [ - "results = solve(scenario=scenario, instance=LP, solver='gurobi', name='LP')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'process2', 0): 200.0,\n", - " ('place', 'process1', 0): 0.0,\n", - " ('place', 'process1_discharge', 0): 0.0}" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['P_location']" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/small/small-mb.ipynb b/examples/small/small-mb.ipynb deleted file mode 100644 index 37445040..00000000 --- a/examples/small/small-mb.ipynb +++ /dev/null @@ -1,1393 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Small energy systems example" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A simple problem with three processes\n", - "\n", - "- Solar Photovoltaics with varying capacity factor (PV)\n", - "- Wind Farm with varying capacity factor (WF)\n", - "- Lithium-ion battery storage (LiI)\n", - "- Lithium-ion battery storage dicharge [generated implicitly] (LiI_discharge)\n", - "\n", - "\n", - "Required resources are:\n", - "\n", - "- Solar energy\n", - "- Wind energy\n", - "- Power with varying demand\n", - "- LiI_Power_stored [generated implicity]\n", - "\n", - "The problem is modeled over two scales (0,1), with 1 and 4 discretizations respectively\n", - "\n", - "- 0, network scale with 1 time period\n", - "- 1, scheduling and demand scales with 4 time periods" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Nomenclature**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The sets and variables used are stated here\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "- $\\mathcal{R}$ - set of all resources r\n", - "- $\\mathcal{P}$ - set of all processes p\n", - "- $\\mathcal{T}$ - set of temporal periods p\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Subsets*\n", - "\n", - "- $\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "- $\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "- $\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "- $\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "- $\\mathcal{T}$ - set of temporal periods \n", - "- $\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "- $\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Continuous Variables*\n", - "\n", - "- $P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $C_{r,t}$ - consumption of r $\\in$ $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $S_{r,t}$ - discharge of r $\\in$ R\\ $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - " \n", - "- $Cap^{S}_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " \n", - "- $Cap^{P}_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Parameters*" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- $Cap^{P-max}_{p,t}$- maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Cap^{S-max}_{r,t}$- maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $D_{r,t}$ - demand for resource r in $R^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**LP Formulation**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling for a single location problem.\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Input Data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Factors are normalized, and can be used to account for:\n", - "\n", - "- variable resource demand (demand_factor)\n", - "- intermittent resource availability (capacity factor)\n", - "- varying resource purchase cost (cost factor)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "demand_factor = pandas.DataFrame(data={'Power': [0.6, 0.7, 0.8, 0.3]})\n", - "revenue_factor = pandas.DataFrame(data={'Power': [0.8, 0.9, 0.94, 0.96]})\n", - "capacity_factor_pv = pandas.DataFrame(data={'PV': [0.6, 0.8, 0.9, 0.7]})\n", - "capacity_factor_wf = pandas.DataFrame(data={'WF': [0.9, 0.8, 0.5, 0.7]})\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare temporal scale**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Consider four seasons in a year.\n", - "\n", - "Network decisions are taken annually (scale level 0)\n", - "\n", - "Scheduling decisions are taken seasonally (scale level 1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 4])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare resources**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be declared with attributes such as maximum consumption (cons_max), resource price (price), maximum allowed inventory (store_max)\n", - "\n", - "As also whether they can be discharged (sell), have to meet demand (demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand=True,\n", - " label='Power generated', varying=[VaryingResource.DETERMINISTIC_DEMAND, VaryingResource.DETERMINISTIC_REVENUE], revenue = 800000)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare processes**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes consume resources and can be of three type:\n", - "\n", - "- storage, if storage = some_resource \n", - "- single mode, as with the processes defined here wherein a conversions are provided\n", - "- multi mode, if a multiconversion dict is provided" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=100, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=990637, fopex=3354, vopex=4953,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on class Process in module energiapy.components.process:\n", - "\n", - "class Process(builtins.object)\n", - " | Process(name: str, introduce: int = 0, retire: int = None, conversion: Union[Dict[int, Dict[energiapy.components.resource.Resource, float]], Dict[energiapy.components.resource.Resource, float]] = None, capex: Union[float, dict] = None, fopex: Union[float, dict] = None, vopex: Union[float, dict] = None, incidental: float = None, material_cons: Dict[energiapy.components.material.Material, float] = None, prod_max: Union[Dict[int, float], float] = 0, prod_min: float = 0, basis: str = 'unit', credit: float = None, gwp: float = 0, land: float = 0, trl: str = None, block: str = '', citation: str = 'citation needed', lifetime: int = None, varying: List[energiapy.components.process.VaryingProcess] = None, p_fail: float = None, label: str = '', storage: energiapy.components.resource.Resource = None, storage_loss: float = 0, store_max: float = 0, store_min: float = 0, rate_max: Union[Dict[int, float], float] = None) -> None\n", - " | \n", - " | Processes convert resources into other resources\n", - " | \n", - " | Args:\n", - " | name (str): name of process, short ones are better to deal with.\n", - " | conversion (Union[Dict[int,Dict[Resource, float]], Dict[Resource, float]], optional): conversion data (Dict[Resource, float]]), if multimode the of form Dict[int,Dict[Resource, float]]. Defaults to None.\n", - " | introduce (int, optional): Time period in the network scale when introduced. Defaults to 0.\n", - " | retire (int, optional): Time period in the network scale when retired. Defaults to None.\n", - " | capex (Union[float, dict], None): Capital expenditure per unit basis, can be scaled with capacity. Defaults to None.\n", - " | fopex (Union[float, dict], None): Fixed operational expenditure per unit basis, can be scaled with capacity. Defaults to None.\n", - " | vopex (Union[float, dict], None): Variable operational expenditure per unit basis, can be scaled with capacity. Defaults to None.\n", - " | incidental (float, None): Incidental expenditure. Defaults to None.\n", - " | material_cons (Dict[Material, float], optional): Materials consumed per unit basis of production capacity. Defaults to None.\n", - " | prod_max (float, optional): Maximum production capacity allowed in a time period of the scheduling scale. Defaults to 0.\n", - " | prod_min (float, optional): Minimum production capacity allowed in a time period of the scheduling scale. Defaults to 0.\n", - " | credit (float, None): credit earned per unit basis of production. Defaults to None.\n", - " | basis(str, optional): base units for operation. Defaults to 'unit'.\n", - " | gwp (float, optional): global warming potential for settting up facility per unit basis. Defaults to 0.\n", - " | land (float, optional): land requirement per unit basis. Defaults to 0.\n", - " | trl (str, optional): technology readiness level. Defaults to None.\n", - " | block (str, optional): define block for convenience. Defaults to None.\n", - " | citation (str, optional): citation for data. Defaults to 'citation needed'.\n", - " | lifetime (float, optional): the expected lifetime of process. Defaults to None.\n", - " | varying (VaryingProcess, optional): whether process is subject to uncertainty. Defaults to False.\n", - " | p_fail (float, optional): failure rate of process. Defaults to None.\n", - " | label(str, optional):Longer descriptive label if required. Defaults to ''\n", - " | storage(list, optional): Resource that can be stored in process.\n", - " | store_max (float, optional): Maximum allowed storage of resource in process. Defaults to 0.\n", - " | store_min (float, optional): Minimum allowed storage of resource in process. Defaults to 0.\n", - " | \n", - " | Examples:\n", - " | For processes with varying production capacity\n", - " | \n", - " | >>> WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex= 100, Fopex= 10, Vopex= 1,prod_max=100, gwp=52700, land= 90, basis = 'MW', block='power', label='Wind mill array')\n", - " | \n", - " | For process with multiple modes of operation\n", - " | \n", - " | >>> PEM = Process(name = 'PEM', conversion = {1: {Power: -1, H2: 19.474, O2: 763.2, H2O: -175.266}, 2: {Power: -1, H2: 1.2*19.474, O2: 1.2*763.2, H2O: 1.2*-175.266}, prod_max= 100, capex = 784000, label = 'PEM Electrolysis')\n", - " | \n", - " | For process with multiple resource inputs\n", - " | \n", - " | >>> CoolCar = Process(name = 'CoolCar', conversion = {1: {Power: -1, Mile: 1}, 2: {H2: -1, Mile:2}, prod_max= 50, capex = 70, label = 'CoolCar')\n", - " | \n", - " | Methods defined here:\n", - " | \n", - " | __eq__(self, other)\n", - " | Return self==value.\n", - " | \n", - " | __hash__(self)\n", - " | Return hash(self).\n", - " | \n", - " | __init__(self, name: str, introduce: int = 0, retire: int = None, conversion: Union[Dict[int, Dict[energiapy.components.resource.Resource, float]], Dict[energiapy.components.resource.Resource, float]] = None, capex: Union[float, dict] = None, fopex: Union[float, dict] = None, vopex: Union[float, dict] = None, incidental: float = None, material_cons: Dict[energiapy.components.material.Material, float] = None, prod_max: Union[Dict[int, float], float] = 0, prod_min: float = 0, basis: str = 'unit', credit: float = None, gwp: float = 0, land: float = 0, trl: str = None, block: str = '', citation: str = 'citation needed', lifetime: int = None, varying: List[energiapy.components.process.VaryingProcess] = None, p_fail: float = None, label: str = '', storage: energiapy.components.resource.Resource = None, storage_loss: float = 0, store_max: float = 0, store_min: float = 0, rate_max: Union[Dict[int, float], float] = None) -> None\n", - " | Initialize self. See help(type(self)) for accurate signature.\n", - " | \n", - " | __post_init__(self)\n", - " | Determines the ProcessMode, CostDynamics, and kicks out dummy resources if process is stores resource\n", - " | \n", - " | Args:\n", - " | processmode (ProcessMode): Determines whether the model is single mode, multi mode, or storage type.\n", - " | resource_storage (Resource): Dummy resource which is stored in the Process.\n", - " | conversion_discharge (Dict[Resource, float]): Creates a dictionary with the discharge conversion values (considers storage loss).\n", - " | cost_dynamics (CostDynamics): Determines whether the cost scales linearly with the unit capacity, or is a piecewise-linear function.\n", - " | \n", - " | __repr__(self)\n", - " | Return repr(self).\n", - " | \n", - " | ----------------------------------------------------------------------\n", - " | Data descriptors defined here:\n", - " | \n", - " | __dict__\n", - " | dictionary for instance variables (if defined)\n", - " | \n", - " | __weakref__\n", - " | list of weak references to the object (if defined)\n", - " | \n", - " | ----------------------------------------------------------------------\n", - " | Data and other attributes defined here:\n", - " | \n", - " | __annotations__ = {'basis': , 'block': , 'ca...\n", - " | \n", - " | __dataclass_fields__ = {'basis': Field(name='basis',type=...\n", - " | \n", - " | __dataclass_params__ = _DataclassParams(init=True,repr=True,eq=True,or...\n", - " | \n", - " | __match_args__ = ('name', 'introduce', 'retire', 'conversion', 'capex'...\n", - " | \n", - " | basis = 'unit'\n", - " | \n", - " | block = ''\n", - " | \n", - " | capex = None\n", - " | \n", - " | citation = 'citation needed'\n", - " | \n", - " | conversion = None\n", - " | \n", - " | credit = None\n", - " | \n", - " | fopex = None\n", - " | \n", - " | gwp = 0\n", - " | \n", - " | incidental = None\n", - " | \n", - " | introduce = 0\n", - " | \n", - " | label = ''\n", - " | \n", - " | land = 0\n", - " | \n", - " | lifetime = None\n", - " | \n", - " | material_cons = None\n", - " | \n", - " | p_fail = None\n", - " | \n", - " | prod_max = 0\n", - " | \n", - " | prod_min = 0\n", - " | \n", - " | rate_max = None\n", - " | \n", - " | retire = None\n", - " | \n", - " | storage = None\n", - " | \n", - " | storage_loss = 0\n", - " | \n", - " | store_max = 0\n", - " | \n", - " | store_min = 0\n", - " | \n", - " | trl = None\n", - " | \n", - " | varying = None\n", - " | \n", - " | vopex = None\n", - "\n" - ] - } - ], - "source": [ - "help(Process)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Locations are essentially a set of processes, the required resources are collected implicitly.\n", - "\n", - "Location-wise capacity, demand, and cost factors can be provided. \n", - "\n", - "The scales of the capacity and demand data need to be provided as well." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name='place', processes={LiI, PV, WF}, demand_factor={Power: demand_factor}, capacity_factor={PV: capacity_factor_pv, WF: capacity_factor_wf},\n", - " revenue_factor={Power:revenue_factor} , capacity_scale_level=1, demand_scale_level=1, scales=scales, label='some place')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent.\n", - "\n", - "The demand, network, scheduling, and expenditure scales need to be provided. They all default to 0." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "case = Scenario(name='case', network=place, demand_scale_level=1, network_scale_level=0,\n", - " scheduling_scale_level=1, scales=scales, demand={place: {Power: 180}}, label='small scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'Solar': 0, 'Wind': 0, 'Power': 800000}" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "place.resource_revenue" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'Power': {(0, 0): 0.8333333333333334,\n", - " (0, 1): 0.9375000000000001,\n", - " (0, 2): 0.9791666666666666,\n", - " (0, 3): 1.0}}}" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.revenue_factor" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Plot conversion factors**" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyQAAAHtCAYAAADocrpRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAADBrUlEQVR4nOzdd3QU1fv48femh1QgCb33Ii303hX0IyCgiDTpIqACKkUEpCuCSC9KkCbSbCBNE4p0adIRQm+hJRBISLL398f+dr8Ju5tsNgmTTZ7XOTkHdubOfWbvzu48M3Pv1SmlFEIIIYQQQgihASetAxBCCCGEEEJkX5KQCCGEEEIIITQjCYkQQgghhBBCM5KQCCGEEEIIITQjCYkQQgghhBBCM5KQCCGEEEIIITQjCYkQQgghhBBCM5KQCCGEEEIIITQjCYkQQgghhBBCM5KQiHQTExNDSEgI7du3p2TJknh7e+Ph4UH+/Plp0qQJQ4cOZfPmzTx9+lTrULO9Bw8eUL16dQoUKMDBgwe1Didd/Pnnn7z66qsEBgbi5uZG/vz5ady4MVOmTNE6tCxBKcXChQupU6cOvr6+eHh4ULRoUdq2bcu6deu0Di9F//77L4MHD6ZKlSr4+/vj4uKCn58f5cuXp127dkycOJEdO3bw7NmzdK03LCwMnU6X5C8kJCRd68goRYsWNYv9+T9XV1fy589P27Zt+e2335KU79Gjh9VyY8eOtVrv2LFjLZYJCwuzOfbPPvsMHx8fPv/8czv3XjiyS5cupeozJ7SnU0oprYMQju+XX37hgw8+4PLly1SvXp3WrVtTqFAh4uPjCQ8PZ9OmTZw4cQIAHx8fOnTowKRJk8ibN6/GkWdPa9eupWPHjgAMHDiQWbNmaRxR2ixbtozu3bvj6upK//79qVixIleuXGHWrFlERkai9dfcN998w8OHD2ncuDGNGzfWNBZ79e7dm++++448efIwYMAA8uXLx6FDh1i0aBENGzZM1cniizZ27FjGjx+PUoo2bdpQvXp18ufPz+PHjzl27Bjr1q3j4cOHAJQoUYL//vsv3eq+ffs227ZtA6Br164ALFmyhB49eqRbHRnl559/5vHjx+zatYuFCxcCMHLkSMqVKwcYktQ7d+7wyy+/sGvXLgA6duzI8uXLcXNzY+/evVy4cIEVK1awefNmAN555x1eeeUVKlWqRKVKlSzWe/z4cY4fP86ff/5JSEgIn3/+OaVKlaJFixbkyZPHpti9vb2Jjo7G29ubR48epfWtEA4mOjqaDRs2APDRRx9x9+5dxowZI0lJZqaESKPp06crnU6nfHx81Nq1a62u98MPPyh3d3cFKECFhoa+uCBFEvfu3VNVq1ZVefPmVXv27NE6nDSJj49XQUFBClAzZ85Msmz+/PkqM3zNFSlSRAFqzJgxWodil+PHj5uO22PHjiVZ1qlTJ9WoUSNtArPB3LlzFaBy5sypDh06ZHGdiIgIVbt2bQWoAgUKZFgsxvdwyZIlGVZHRliyZEmK39sjR440rTNgwIAky7Zs2WJa1qJFC5vrfe2111RAQICKi4tLdcwjRoxQXl5eavjw4akuK7IWR//+zS7kkS2RJmvXrmXIkCEArFmzhvbt21tdt2vXrixYsOBFhSaSkStXLg4fPszNmzepU6eO1uGkyenTp7lz5w6A2d2Hrl27cvr0aQ2iylp27NgBQM6cOc2uas+aNYsffvhBi7BSpNfr+eKLLwAYOnQowcHBFtcLCAhg+fLlODnJT6K9vvjiC0qWLAnAggULuHDhgmlZs2bNTHc2/vrrL27fvp3i9u7fv8+WLVvo2LEjLi4uqY5n0qRJPH78mMmTJ6e6rBDixZNvX2G3iIgI+vTpA8Bbb73Fyy+/nGKZ7t27U61atYwOTWQj9+/fN/3b19c3ybIcOXJQtmzZFx1SlmN8j59/f8FwMl+4cOEXHZJNzp07x61btwCoXr16suuWKFGCWrVqvYiwsiRnZ2fatGkDQEJCAr///nuSZW+++aZp2U8//ZTi9tauXUtcXBydO3fOmICFEJmKJCTCbrNmzTI9dz1o0CCby3Xp0iWDIhLZkV6v1zqELM9R3+N79+6Z/h0REZHi+qNHj2b06NEZGVKWVqJECdO/E98hAZIkFitXrkxxWytXrqRIkSLUq1cv/QIUQmRakpAIuy1evBgwXCGtXbu2zeU6derEkiVLrF65VkqxfPlyXn75ZYKCgnB3dydfvny0a9eOjRs3WixjaVSWS5cuceHCBbp3707+/Plxd3enZMmSjBo1ymykr5CQEKujwaRUj6XOqUeOHKF79+4UKVIEd3d3cubMSa1atZg4cSJRUVE2x3/16lUGDBhAsWLFcHNzszjazNmzZ+nTpw8lSpTAw8ODHDlyUL58eXr37s1vv/1GfHx8krpsiT+xv//+m86dO1OoUCHc3d0JCAigUaNGzJ07l7i4OLP1rY0q9PjxY0aMGEHJkiXx8PAgb968dOvWjatXryZbvzXG96xJkyam14oVK2a17c6cOcOYMWOoX78+uXPnxtXVlYCAAJo0acLChQvN3idL4uLimDdvHo0bNyYgIAA3NzeCgoJo3LgxY8eONXs8zBjH5cuXARg3blyyny+jy5cv88EHH1C2bFm8vLzw9fWlcuXKjBo1irt371osY61dV6xYQcOGDcmdO7dpma0d6xs3boxOp2PcuHGmuBLXYWk7xsdkatasSc6cOfH09KREiRL07t3bNLCFtXqMf0WLFgVg7969vPHGG+TPnx9nZ+dk3zNLcubMafr3jz/+mOL6rVq1ol+/fsmuY0/b2Orq1atMnTrV9IiTq6srOXPmpE6dOkybNo0nT55YLGdpNCuAU6dO0a1bNwoVKoSLi0uS75aM4OzsbPr3898NtWvXpnjx4gDs27eP8PBwq9u5fv06u3btolOnTqlqb7D+XiRm7VhZuHAhwcHBeHt74+/vT8uWLdmzZ0+q6n9eQkICCxcupGHDhuTKlQtXV1eCgoJo3rw5U6dONX03WPP777/Trl078uXLh7u7O0FBQbz88susWLHC4mAdln7LwsLCuH37Nv3796dAgQJ4e3tTpUoVFi5cmGQbq1atonr16nh5eREUFETXrl25fv16ivt44cIF3nvvPUqWLImnpyd+fn5UqVKFESNG2PR43vOsjZD16NEjPvvsMypUqIC3tze+vr40aNDApmM7OXfv3mXWrFm8+uqrFChQADc3N3x9falWrRqff/55kgsbydm0aZPp+8rNzQ1/f3+Cg4MZPHgwoaGhyZZdv349r776Knny5MHNzY08efLwyiuv8MMPP5CQkJCm/XMYGvdhEQ7qzJkzpk6KTZo0SbftPnz4UDVu3FgBqlChQmrMmDFq8eLF6tNPP1W5c+dWgOrUqZOKjY1NUu7YsWNq2bJlSTpW/vLLL6pgwYJq6NCh6rvvvlOjR49WOXPmVIB67bXXkpS/cOGCWrZsmapevboClL+/v1q2bJlatmyZxXpatmyp3N3dVUhIiFmn8MmTJysnJyeVI0cONXjwYLV48WI1bdo0VbNmTQWoggULquPHj6cY/8aNG1XevHlV9+7d1cKFC9X48eNN8Rs7lm7dulW5u7srDw8P1atXLzVr1iw1e/Zs1a1bN+Xs7KwA9eqrryapy7hfZcuWVYDq3r27xbbQ6/Xqo48+UoBpXxYtWqQmT56sypUrpwD10ksvqWvXriUpd+vWLVMdxn2ZPXu2qlKliurUqZNauHChmjZtmmkbhQoVUg8ePEjuY2GRpfdsxowZproTt93Ro0dN61SoUEFNnDhRLViwQH3yyScqT548ClANGzZU0dHRVuu7evWqqlSpkgJU2bJl1aRJk9TChQvV8OHDVb58+Uzbnzp1qtl7HRAQoADVrl27JPE9//lSSqkff/xReXh4KEB16NBBzZs3T82aNUu1aNHC1Dk7LCzMrJyldn3//fdV6dKl1aRJk9SCBQvUq6++qgCbO6Fv3bpVLVu2TLVr104BKiAgIEnsW7duTbL+v//+qwoVKqQAVbNmTfX111+rhQsXqp49eyoXFxfl7Oyspk+fnmI9RYoUUStXrlSBgYHqk08+UYsWLVLvv/++6TNtq/j4eNMxA6h+/fqpe/fu2Vz+efa2jZExDkud2u/fv6+cnJxM+z9mzBi1cOFCNWrUKFWiRAnTZ/fWrVtmZffs2aOWLVum+vbtm6TzeUBAgBo4cKBatGiRGj58uCn28PDwVO23LZ3alVJq7NixpvUmTJhgtnzUqFGm5RMnTrS6nWnTpinA7HvSFpbei+dZOlZ69eql6tSpo7799ls1b9481bJlSwUoNzc39ffff6c6DqWUiouLM22nUqVKasKECWrRokVq3LhxqnTp0gpQTk5Oat++fWZlY2Nj1VtvvaUAlTt3bvXpp5+qxYsXqzFjxpiOsSZNmqiHDx8mKWf8LZsxY4Zp/1euXKnKlCmjPvjgA7Vw4UL1wQcfKDc3NwWoYcOGKaWUmjhxomratKmaO3eumjhxoim+YsWKqaioKKv7uGzZMuXm5qZcXFzUu+++qxYtWqRmzpypmjdvrgDl5+en/vrrr1S9b48fPzb77hw0aJAqXbq0qlq1qvrqq6/UwoULVe/evZWLi4sCVJ8+fZRer7e4vZQ6tfv7+5u+3z799FO1cOFCNXbsWFWlShXTb/bp06etxhsbG6s6depkaivjd9YXX3yhgoODTe3QqlUrs7IxMTHqjTfeMP0Wjh07Vn333Xfq888/N7Vzo0aN7PqNdDSSkAi7rFixwnSQ9e3bN122mZCQoJo2baoAVbFiRbMD8MqVK6YTvx49eljcRmhoqCmuIkWKmH3R79ixw7R8x44dZuVDQkJMyw8ePGixDr1er4oWLarat29vtmzx4sUKUF5eXuro0aNm5bp27WqK7fkfkufjL1iwoPrtt9+SLF++fLnppCA+Pl4VKFBAARZHN9uyZYtycnKyevLZqFGjZBOSMWPGKEB5e3ub7UtMTIzpB6d8+fLqyZMnFrdh3Jd8+fKZnYjev3/flGSOGzfOYnlbJH7PrJ1oHTx4UAGqZcuWKj4+PsmyBw8emBKNgQMHWiwfHR1tSqBatGihYmJikix/9OiRqlOnjgLUBx98YFbe1lFe/vzzT9NJ6eLFi82Wf/bZZ6YE8dSpUxa3YWzXAgUKqAYNGqinT5+aliUkJKjSpUunelQs42ehSJEiVte5deuWKbnr1q2bSkhISLJ88+bNpoQiJCQk2Xp8fX1V8eLF1cWLF5Ms7927d6oSEqWUGjdunOnzYTw23333XbVlyxb17Nkzm7eTHm2TXEISERFhOnF9PjF++vSpevnlly1eTEksceJQsmRJs++wCRMmZGhC0rBhQ9N6e/fuNVt+8uRJ0/KKFSta3U61atWSXZ7amK0xHiv58uVTbdu2TfKZ1ev1pt8jey+6GUf5q1atmtln7dmzZ6pJkyZW39Pu3bubYrty5UqSZQ8ePFAVK1ZUgGrWrJnFE/Hw8HDT/hcoUEBt2bIlyfLVq1crQOl0OrVhwwbVtWvXJMvv3bun8ubNqwA1efJki/u3detWpdPplJOTk9n2lfq/Y8LPz09dunTJ4jZSYvzudHZ2Vm+88YbZ9/fvv/+udDqd6YJUctuw9v3r5eWlChQoYJbsx8fHq3fffdd0XFpLeIxtVaBAAbO20uv1avDgwQpQlStXNivbpUsXBYaLe8+f8yRu5zZt2lisOyuRhETYZebMmaYvO+MVlrRKnAxYu8qY+EfGUkKR+OS0W7duFrdRtGhRBahPP/3UbNmjR4+Ul5dXsienYWFhClC//vprktcfPnyofHx8FKA+//xzi2Xv379vukpp6Qph4vgtJTzXr19X3bt3V6dPn1bHjh0zrfvo0SOL9dWrV8+uhOS///4znTyOHTvWYvn//vvPdIJmLaEwxlesWDGzE1SllOrRo4cCVK1atSyWt0VqEpL9+/dbXL5161YFKA8PD4vvpfFE2dnZ2Wod+/btS1NCkpCQYLoS3rhxY4vrxMfHm9axdpJkbFewfIV5zpw5Vk8wrLElITG2pZ+fn8VkW6n/++H28/NTkZGRVusB1KxZs8yW//nnn1YTaGvi4uJM9T7/5+vrq9588021du1as7uuiaVX29iSkKxevdpi2XPnzpnKnz9/3uI6ib8fhw4darb82LFjqnv37ioiIsLKnlpmS0KyceNG0zrJncBXrlw52c/n2bNnFaAmTZqUqhiTi9maxMfKhQsXzJYbf5OcnJySvXtqjfGOn6W2UEqpbdu2WXxPjb8xySXvib/3li5darY8cUJiaajl+Ph45evra/reu3r1qtk67733ngJU3bp1LZYvVqxYsr+1cXFxpotmffr0sbhOSozfna6ururmzZsW12nfvr0ClI+Pj8W7ObYkJInvbCcWFRVl+s3evn272fLE7WDpjrdSSj158kTlzJnTLCH5888/TWWt3UXatGmTaR1779Q5CulDIuySeKIpT0/PdNnmnDlzAChQoACNGjWyuE6HDh1wc3NLsr41//vf/yy+bpzU6/z582bLvL296dChA2B4ntbSrM0hISEEBgbSqlWrJK8vX77c9L689dZbFuvOmTMnNWvWNG0/OZaGUM6fPz8hISGULVs2yXOlu3fvtriN+fPn8/XXXydbjyULFiwwbf+dd96xuE6JEiVMfYfmzp2b7OSDrVu3tjikanJtkZ4qVapEeHg4NWrUsLjcOAJTTEwMhw4dSrJMKcW8efMAqFu3rql/w/Nq1apFqVKl8Pb2tivGzZs3mzoCW3vPnZ2dTZ+t0NBQTp06ZXV7pUuX5qWXXjJ7fcCAAQwfPtyuGK15+PChqaPya6+9hp+fn8X1jPsVGRnJihUrkt2mpc9/06ZNUz3LuYuLCyEhIfz+++9mo2hFRUXx008/0aFDB4oVK2bqF/e89G4bS3LlykV4eDjt2rWzuLxUqVKm99Xa8Z6YpfevUqVKhISEEBAQkKrYEouMjOTu3bumv9OnTzN58mTTRKslSpRg+fLlVsun1Ll95cqV6HQ63n77bbtjTK0KFSqY+rckZvx+0uv1Zp30bWH8Dt2zZ4/FgSHq1q3Ltm3bqFy5cpLXjb9tbm5upt+j5zVu3JgCBQokWd+aV155xew1Z2dn0yAEpUqVomDBgmbrlClTBjD0U3ze5s2bTf2ArP3eubi40KxZMwBWr16dpsEx6tevb3UiZWP9jx49Yt26dane9qlTp6wOzOPj40Pp0qUBTJN/JmZ8793d3XnjjTcsbsPT05M2bdok6dMGmH5XjP0QLWnWrJlp2OuUzhkcnSQkwi6Jh/98voO4PaKiovjnn38ArM4VAIaEwfglmVInsVKlSll83d/fHzD8sFpi7OB47969JENXgmH217Vr19K5c2ezsfGN8Rg7Syf+0U78ZzwZOHXqlNVOqvB/P4bWlC1blly5cgHw5ptvMnHiRLMOhBUrVkz2/bTmr7/+AsDPz880t4Alxm3fvn072fk+7G2L9OLm5kbRokVNHVwTEhJ4+PChqU0SJ3fGYWKNTp48aZrnJKUhq8+dO8eECRPsitH4nkPyx0DiZcnNjp7S5yc97d6925S82xp7csevn58f+fLlS78AgVdffZV9+/Zx6tQpvvjiC7M4b9y4QZ8+fejbt69Z2fRuG0ucnJwoWrQorq6ugOEk+PmTf+P37vOfUUsyqv3btm1LYGCg6a98+fKMHDkSV1dXBg8ezKFDh8ifP7/V8m+//bbpOPzxxx/NLmSsWrUq2cQ/I6T0/QT2fUcZRwjbu3cvzZs3Z/v27UlOynPkyEHz5s3NTlSNx4Zx4ARrjN9H//zzT7Kz0VvbPx8fH5uWG0fTtBQjQMGCBa3+3hn3LSoqinPnzlmNMSUVKlSwuqxKlSqmf9uSrD+vcOHCpgurSimioqKS7IPxIpOl4854nJctW5YcOXJYrWPJkiVm33mJy967d8/i+xcVFUXu3LkBOHjwYKr3zZFIQiLsEhgYaPq3pVGjUis8PNz0RW286mONcXlERESyX8LGL9PnGe+wWBtVqVGjRqYfw+evxq5fv57Hjx/TrVs3s3LGK2hxcXHkyZMnyY924r/169cDhhOO5IYitTTnQ2Kenp4sWrQIDw8P0+gj+fPnp3HjxsycOZMbN24kWz45xn1J7sQCkrZVclcQU2qLFzGKSEREBMOHD6dcuXK4ubmRM2fOJO1iFBMTk6Rc4v1K6f1Ii8T1JHcM2Pqep/T5SU+2xp4rVy48PDzMyjwvI2MvV64co0eP5tChQ1y+fJkJEyYkaddFixbxyy+/JCmT3m1jzePHj5k4cSJVqlTB3d0df3//JJ9R44h0z39GLcmo93DatGls27bN9BcWFsaJEye4d+8eM2fOTHISb0mhQoWoX78+YBhNKfEoVocOHeLcuXMvfO6RlL6fwPrvRXIGDx5sutsfGhpKixYtKFCgAO+9955ZcmJkTELB9t/ChISEZEdOs3bX1pgYWltuvKtt6fs58ee7cuXKVn/vZs6caVrPnhG3jJL7XCU+flMatcySuLg4Zs2aRe3atU2jhCXeB+Nn9PnjLnFbpfa3IXHZnTt3Wn3/AgMDTe9bWt4/R5D66U+FIOmV4v/++y/N23v8+LHp38YTFmsSL4+KirL6Y2LvrMs6nY5u3brxxRdf8Mcff3Dnzh2CgoIAWLp0KRUrVrR4pdy4D97e3mzYsMGmupJ7dMKW+N944w2OHj3KtGnTWLVqFdHR0ezYsYMdO3YwdOhQOnXqxPTp003x28q4L6ltC2u0ngH733//pVmzZkRERFCoUCEmTZpE6dKlk3x2WrRoYbFsaj6baWFrPZnxPU/t8RsTE5MpYi9cuDCjRo3io48+okePHqxZswaAH374wTTJH6R/21hy7do1mjRpwn///Ufu3LkZOXIkFSpUMN0FBcMcTraelGTUexgcHGzzsNHWdO7c2fT4y6pVq0x3ElatWoWLi4tpEsUXJaPeKw8PD/7880+WLFnCnDlzOHr0KLdu3WL+/PnMnz+fokWLMnnyZDp16mQqk5bfQmtSGjo5tUMrQ9I4f/nll2TvDhhVrFgx1fUYJR5S+nmJ34fEcdkiKiqKFi1acODAAby8vBg4cCDVqlVL8ps5dOhQjh8/blY2Lb8NicvWq1ePsWPHplgmcYKcFUlCIuxSunRpChQowPXr1zl+/DhKKbu+1IwSnximdPUv8XJrz6qnVbdu3Rg/fjzx8fGsWLGCjz76iKtXrxIaGsqUKVMsljHuQ1xcHM2bN8+QuCwpU6YMixYtYubMmfz++++sWrWK33//3RT7wYMHOXbsWKq+MH18fHjw4EGmaIv00L17dyIiIihYsCD//vtvqmJNzWczLZ6vx9oV7sz4nttz/GaW2MHw6MyCBQvYuHEjT5484cyZM0mWv4i2GTRoEP/99x/e3t4cOnTI4iNLGZkQv0gdO3Zk8ODBxMXFsWbNGr755hucnJxYvXo1LVq0SFMfl8zG2dmZ3r1707t3b06ePMnq1atZtmwZly5d4tKlS7z99ts8efKEnj17Apnvt9CaxHHWrFnTav+O9JLcXfTE70Nq+/CNGTOGAwcO4OzszF9//WXq45nY84/UGaXltyFxWW9v7xd6zpBZySNbwm7GCcTu3r3Lvn37bC43duxY2rZty/Tp002vFStWzHSVKqVHjYwTNQUFBdndgTglJUqUMD1WsHTpUgCWLVuGTqez2qnV2NciNjbW1OfgRcqRIwdvvvkmGzZs4MKFC6Yr/ufOnWPJkiWp2pZxX2xtC0g6S3Nm8t9//3HkyBHAkGim9oc7cR+atDwGl171ZMb33NbYEye5Lyr2vHnzMmnSpBTXy5kzp6l/2vP9GjK6bWJiYkz91V5//fUX2n9CC7lz56Zly5YA3Llzh+3bt7Njxw6uX7/+wh/XepEqVKjAF198wYULF1i6dCnu7u4AjBw50rSOr6+v6RFSW79/nZ2dKVKkSAZFbVniY+LKlSsZXp+lfixGid+nYsWKpWq7xruitWrVspiMJCc1bZVc2Rfx/jkCSUiE3QYPHmzqbDV79mybyty8eZMpU6bwyy+/JBnVxMfHxzTSkbFzuyXR0dGmET8Sz9CdEYyd248dO8axY8dYunQpzZs3t/qsaOJ49u/fb3W7N27cwN3dnUqVKqUpvvDwcD777DOL/VAKFy7MmjVrTB1krc2QbY1xXyIjI5N9Fv7w4cOA4aSvbNmyqarjRUmcHFp7Jju52/zlypUzXf1L7rP57NkzOnXqRK9evcyW2XL3MPHnJ7l6jO85kOZHZ9JL3bp1TY8TJBd74mUZffwa3b592+LjFpYYn+kvVKhQktczum3u379v6qOQXL+B1D6OkpklTjxWrVrFqlWryJEjB23bttUuqHT23XffsXr1arPXnZyc6NatG4MHDwYMn9HE3+PGz9uZM2eSHfjE+HmrXr261UeXM4qtv3exsbHkzp2b3LlzExcXZ3d9yY1aZ7zgBJguJNrK+Ptg73Fna1t99tlndOjQgWvXrpmVPXfuHA8ePLBadvXq1bi4uFgdCSyrkIRE2M3Pz48VK1bg5OTEqlWr2L59e4plhg4dSmxsLHXq1EnyjDbA+++/DxiepbY0vB7AunXrTKP5DBgwII17kLyOHTuanosdOHAg586ds9iZ3eidd94xXX1PbmjSJUuW8OzZM6tDJdrq8uXLTJw4kQMHDlhc7ufnZ4o/pY6mz+vXr5/pmV1LQ3OCISEy3hkbMGBAmh7Zy0iJR2uyNspL4hPJ5+l0Ot577z3AMFqOcajL5/3xxx+sXr2a2NhYs2XGdkj8g3zhwgXKli3LmDFjAHj55ZdNV9WtvecJCQmmE5ymTZu+0JG0kuPv72+6c/j7779bfZ7duF9+fn5W7zRmhC1btqQ4StL169dNifvzw6RmdNvkzp3blNBZ+4xeuXKFe/fu2bzNzK5NmzamEaQ2bNjAunXreP311zPsrrcWli1bxrRp06wuN343OTs7J9lv429bbGys1WFsd+7cabpDYvztfJESHxPGpwgsWbt2Lffv3+eNN94wXSCzx+7du60+eWA87nx8fKwOvWuNsQ2sHXdPnz41e4QzMVva6u7du3z55ZccOHAgyQVNY9mEhIRkh8pevHgxCQkJSfoaZUlaToIisob58+crZ2dn5evrqzZs2GBxnadPn5omWcqbN6+6fPmy2TqJZ2qvVKmS2eRq165dM02y9O6771qsx5ZJ8oyTpNkyW7VxFlX+/yRq1mYkN0o8ueMPP/xgtvzvv/9W7u7uqlChQinO1J7SbMrGdWvXrm02c7hSSv3888+K/z8T7z///GO2PKWZ2seOHWuabOrYsWNJlsXGxqqWLVsqsG2mdksTwSll2+RlKbHlPatataoCw6zzZ8+eTbLs8ePHqlatWsnG+uTJE9NM7S1btjSbRO/OnTuqaNGiytXV1eJkb23atFGA6tKli+k140zJiSeASzwb+Pfff2+2HePEgTly5FCnT5+2uK8ptas9UjtT+7vvvms2Eea2bduUi4uL1YncbK0ntYzt+uqrr1qcNE0ppe7evWuaZbxIkSLq8ePHZuukR9sk9xkzTqLn7Oysdu7cmWTZs2fPVNu2bU3lrU3wlh7HU0rbTW6m9tR6++23TdsF88lm0yI1EyNaO1YSTy5oz34bt//LL7+YLYuNjVU1a9ZUYHkWbuNEowUKFDCbtDAyMlJVqlRJgW0ztVuLPaX9T+k9THxMjB8/3mz52bNnVe7cuZWPj0+aZ2oPDAxUHTt2NJupfePGjaYYvvnmm2S3Yem4+eijj0z7uHLlyiTL9Hq9GjhwoGm5tfcpcVtdu3YtybK4uDjTsTt//nyrZf39/dW///5rtvzrr79WgHr99dct1p2VSKd2kWb9+vWjSJEi9O/fn3bt2lGjRg1at25NwYIFSUhI4OTJk6xdu5abN29Sq1YtfvzxRwoXLmy2HScnJ9avX0/btm0JCwujUqVK9OrVi4IFC3L+/HkWL17M3bt3eeutt5g/f36SshcvXmTPnj1J5sL4+eefCQgIoEWLFuTJk4e9e/dy4cIFLl68CBhukxuvSnTp0sXivnXv3t20TocOHVKcBLJ79+7cu3ePTz75hG7durF+/XqaN2+OXq/n4MGDrFy5koCAAH799dckfRmSi99afDly5MDZ2Zl9+/ZRqlQpunTpQtGiRYmJieHgwYP89NNP6HQ6vvzyyySjghn3xzhaz8WLFy2+D59//jmRkZHMmDGDunXr0qtXLypVqsTdu3f54YcfOHXqFBUrVuSPP/5I8r5ER0ebjTK2d+9eXFxcqFSpEpUqVTLt7969e83iMrZXSo4fP87x48etvmeJt/P999/TpEkTHj58SLVq1ejduzflypXjxo0bLFu2LMmVu+djBcMQy1u3bqV169Zs3bqVKlWq0L17d3LlysX58+f57rvviIqKYtGiRRYnI+zatSu//PIL69ato0yZMnh7e/PVV1/h6emZ5KpX06ZNWblyJT169KBnz5788ccfNGvWjPj4eH799Ve2bt2Kv78/GzZsMHtE7ueff+bx48cW2zXxvqTGtm3bkjzyFB0dneRKXuLPS548edi+fTutW7dmyZIlnDp1irfeegtvb2/279/P0qVLUUrx9ddfm91pNB6blurJkyeP1RHQbFG4cGGuXLnCxo0bKV68OO3bt+ell17C29ubqKgojh49yvr163n48CHlypXj559/tjj3g71tc/v2bbZt22a2vy4uLkn27ZtvvuHQoUNcvXqVZs2a0aNHD6pWrcr9+/f56aefuHPnDj4+Pjx69Ijjx4+zfPlySpQoQZ06dUzHgqXjydvb2+7HoIyfqcTb3bZtm+mxE1uPVWs6d+5smuwtV65cFifwSy3jZ8nSe1G3bl2KFy9u9VgxtofxO8w4LCv8336n5lgyPkbVrl072rVrR+3atfH39+f69eusWrWKs2fPUqZMGebOnWtWdv78+Tx9+pTVq1dTpUoV+vTpQ6lSpbh27RrfffcdV65coXHjxqxbty7J3Wnj581S7Mb9Nx7X1vY/uc9Tu3btTMdH4mNi9OjR/PXXX7Rp0wY3NzeOHz9OSEgIrq6urF27Ns19XPr168f+/fupWbMmnTt3xs/PjwMHDrBkyRL0ej29e/c2PQIHSX+HoqOjAUzHTeJjYsyYMfz1118cO3aMd955h19//ZV69erx5MkTfvvtN44dO0bevHm5deuW2ftkqa0qV65Mnz59KFmyJNevX+fHH3/k9OnT9O7d2+IcR4nL1qxZ03TcP3jwgC1btvDXX39Ru3btVE8I65C0zohE1hETE6MWLVqk/ve//6lChQopd3d3lSNHDlWyZEn19ttvq19++cXilZzn6fV6tWzZMtWyZUsVEBCgXF1dVZ48eVSbNm3Ub7/9ZrFM4is5z/8Zrw4Z74xY+rMmISFBFSpUSAEqLCzM5vfixIkTqlevXqpYsWKm96Fy5cpq1KhR6u7du6mKP7n4rly5oqZOnaqaN2+u8uXLp9zc3JS7u7sqVqyY6tq1q9q3b59ZmdTWs3v3bvX222+rAgUKKDc3N5UzZ05Vv359NXv2bLM7BUolvTL3/J/xCpUt7ZUS4xVpW7dz6dIl1bdvX1WkSBHl6uqqvL29VbVq1dSECRNUVFSU1VgTe/bsmZozZ45q0KCBypkzp3JxcVH58+dXb7/9tsW7UInNmzdPlS9fXrm5uamAgADVokULdfDgQYvrXrp0SQ0ePFiVLl1aeXp6Ki8vL1WxYkU1YsQIdefOHYtljFcBk3vfU8t4BTU1n5dHjx6pyZMnq+rVqytfX1/l7u6uihYtqnr27GnxCqBSyR+bttzJTMn+/fvVxIkT1f/+9z9VunRp5evrq5ydnZWXl5cqVqyYateunfrhhx8sfp6fl9q2SXwHL6V9i4iIUEOHDlWlSpVSbm5uKkeOHKpChQrq008/Vbdv3zZrY+MV2+SOhbTcbUruM5WaY9WaZ8+eqdy5cytA9e3bN03bMkrus2S8M2Vtv4ztYct3mC3i4+PV77//rnr37q0qVqyofHx8lLOzs/L391d169ZV06ZNU9HR0clu47ffflNt2rRRefLkUa6urqbvjmXLlln8PU3u82bcf2vHtXH/k/s8WboLbTwmypQpo3LkyKE8PDxU2bJl1QcffGDxaYjUSHx3Iy4uTk2bNk1VqVJFeXt7Kx8fH1WvXj2zOxtKJd+Gzx8T0dHRaty4capixYrKw8NDeXh4qFKlSqkBAwao8PBws/fL2nfS77//rtq2bavy5s2rXFxcVM6cOVWLFi3UunXrUtzP58v6+/urBg0aqHnz5qm4uDh73jqHo1PqueFEhBBCCCGE0FjRokW5fPkyY8aMsWmuDuG4pFO7EEIIIYQQQjOSkAghhBBCCCE0IwmJEEIIIYQQQjMyypYQQgghhMgUbB0hS2Qt0qldCCGEEEJkCpcuXaJYsWIWlxUpUoRLly692IDECyEJiRBCCCGEEEIz8siWxvR6PTdu3MDHxyfJ5EZCCCGEEEI4MqUUjx49In/+/Dg5We+6LgmJxm7cuEGhQoW0DkMIIYQQQogMcfXqVQoWLGh1uSQkGvPx8QEMDeXr6/vC69fr9URERBAYGJhs5iq0Je2U+UkbOQZpJ8cg7ZT5SRs5Bq3bKSoqikKFCpnOd62RhERjxse0fH19NUtIYmJi8PX1lS+UTEzaKfOTNnIM0k6OQdop85M2cgyZpZ1S6pYgnyAhhBBCCCGEZiQhEUIIIYQQQmhGEhIhhBBCCCGEZiQhEUIIIYQQQmhGEhIhhBBCCCGEZiQhEUIIIYQQQmjGoRKSPXv2UKZMGXQ6HZcuXdI6HCGEEEIIIUQaOURC8vTpU4YOHUrDhg05d+5cumzz7NmzdOnShXz58uHh4UGJEiX4+OOPiYyMTLZcZGQkn3zyCSVLlsTDw4N8+fLRpUsXzp49my5xCSGEEEIIkZ1k+oTkwoULVKlShXXr1vHHH3+kyzbDwsKoWrUqhw4dIiQkhNOnT/PZZ58xf/58qlWrxs2bNy2Wu3nzJtWqVWPevHmMGjWK06dPExISwqFDh6hatSphYWHpEp8QQgghhBDZRaafqf3kyZM0a9aML7/8Em9v7zRv7+HDh3Ts2BGlFJs2baJ48eIAFCtWDHd3d9555x26devGtm3bzMp269aNixcvsmLFCjp37mwqt2nTJsqXL0/Hjh3577//8PPzS3OcQgghhBBCZAeZ/g7Jq6++yty5c9MlGQGYNWsWd+/epU2bNqZkxKhTp07kz5+f7du38/fffydZtmvXLrZv307+/Pnp1KlTkmXFixenXbt23L17l9mzZ6dLnEIIIYQQQmQHmT4hcXZ2TtftrVmzBoBmzZqZLXNycqJp06YArF692mK5xo0b4+Rk/rY1b97cYjkhhBBCCCGEdZk+IUlP0dHRnDx5EoCyZctaXMf4+sGDB5O8vn//fpvKnTx5kqdPn6ZLvEIIIYQQQmR1mb4PSXoKDw9Hr9cDkDdvXovr5MuXDzB0pk/M+P+Uyun1esLDwylfvrzF9WJjY4mNjTX9PyoqylTOGNuLpNfrUUppUrewnbRT5idt5BiknRyDPu6ptFMmJ8eSY9C6nWytN1slJMaTfwBPT0+L6+TIkQPAbPhfY9mUylkqm9jkyZMZN26c2esRERHExMRYLZdR9Ho9kZGRKKUsPoomMgdpp8xP2sgxSDtlbrpnd/EOn47bw30kBPXnjuog7ZRJybHkGLRup0ePHtm0XrZKSDKDESNGMGTIENP/o6KiKFSoEIGBgfj6+r7wePR6PTqdjsDAQPlCycSknTI/aSPHIO2UScU/gbMz0d3djarwGXr/OQSEtceFijgFNdY6OmGBHEuOQet28vDwsGm9bJWQJD7ht9bP48mTJwBmQ/f6+vpy7969FMtZKpuYu7s77u7uZq87OTlpdkDrdDpN6xe2kXbK/KSNHIO0UyaiT4BLyyH8Byj9PlQciU6nA72eyAqzCTrTH51nbshZWetIhQVyLDkGLdvJ1jqz1SeoWLFihi864NatWxbXMU6KWKJEiSSvG/+fUjknJyeKFi2aHuEKIYQQWdfNbRD2CsRFQeM/oNAb8P9/owGUcw5UneVw+CN4HK5hoEKIjJatEhIvLy8qVKgAwJkzZyyuY3y9Ro0aSV6vWbOmTeUqVKiQpD+JEEIIIRJ5+C/sbAe3/4L6a6HMIHB2s7yuewDUXgL7e0FMxIuNUwjxwmSrhASgY8eOAPz5559my/R6PX/99VeS9Z4vFxYWZnHEgO3bt1ssJ4QQQgjgyQ3Y3wfOTIfgmVBlMrhZf8TZxKsIBH8Le96BuMcZH6cQ4oXLkgnJ5s2bKVmyJAMHDjRbNmjQIHLnzs0vv/xCeHjSW8A//vgjN27coGnTpjRo0CDJsoYNG9KkSRNu3LhhNvnhxYsX2bBhA7lz52bQoEHpv0NCCCGEo4p7BMc/h4P9odR7hjseXoVTtw3/ilBxNOztAgnPMiZOIYRmHCIhiYiI4NatW0n6b1h6zWj27NlcuHCBOXPmcO/evSTLcubMyU8//QRAq1at2Lp1K+Hh4SxZsoR+/fpRtGhRli1bZjGO5cuXU7RoUfr27cuSJUsIDw9n69attG7dGp1Ox08//YS/v3/67bgQQgjhqPTxcH6B4fGs3LWh4S+Qq5r92wtqAMXfhQN9QMncF0JkJQ6RkNSoUYN8+fKZJh8EQ5+O518z6tKlC76+vnTs2JHcuXObLW/atClHjhyhWrVqdOvWjbJlyzJ+/Hj69u3LkSNHyJ8/v8U48ufPz5EjR+jXrx8TJkygbNmydOvWjWrVqnH48GGaNm2afjsthBBCOCKl4NpvEPoy6JyhyWYo0DpJh3W7FWwDgQ3gyMeGeoQQWYJOKTmitRQVFYWfnx+RkZGazUNy584dgoKCZNi+TEzaKfOTNnIM0k4Z7P4/cHws5K4OZYeCq7ddm0mxnU5MACd3KP9xmsIV9pNjyTFo3U62nudmq3lIhBBCCJEBHl+Cf8eAsyfUWgie5k8vpKsKo+CfwXBxKRTvnrF1CSEynCQkQgghhLDPs4dwchI8vggvjQP/Ci+mXp0Oqn0De7sZhgYu8OqLqVcIkSEkIRFCCCFE6iQ8g/Nz4cYmKD8c8mrQh9LJGWp/D7s6gHtuCKj94mMQQqQLeehPCCGEELZRCq6sMcyw7h5g6LCuRTJi5OwO9VbA8dEQeVq7OIQQaSIJiRBCCCFSFvE3hLU2PJ7VaCMU6wK6THAa4eoLdZbBwQHw5JrW0Qgh7CCPbAkhhBDCuqjz8O/n4B5kOPH3CNA6InOeeaHWItjbHeqvAfdcWkckhEgFSUiEEEIIYS4mAk6Mh9gIeOkL8C2ldUTJ8ykJVb+CPV2gwTpw8dQ6IiGEjSQhEUIIIcT/iX8KZ2fCnR1QcTQE1tU6ItvlqgblhhpG36q3CpzkNEcIR5AJHv4UQgghhOaUHsKXwY5XDXcbGm9yrGTEKG8zKNzB0KdE5n4WwiFIQiKEEEJkd7f+hNBX4NkDaLzZcEKv02kdlf2KvAX+LxlG3xJCZHqSkAghhBDZ1cOTsKs93NwK9X+CMoPB2U3rqNJHmUGAgrOztI5ECJECebhSCCGEyG6e3oR/x0JCDFSbDl5FtI4oY1SaAAf6weXVhrsmQohMSRISIYQQIruIewynp8H9f6DSWMgVrHVEGUungxpz4e+3DbO5522udURCCAvsfmTL2dkZZ2dn8ufPn57xCCGEECK96ePhv0Wwsw3krgGNfs36yYiRkwvUWQqnp8P9w1pHI4SwwO6ERClF27Zt2bZtW3rGI4QQQoj0ohRc32josI6CJlugwKuO3WHdHi45oO5yOPIxPPpP62iEEM+xOyHx8PBg6tSpVKhQIT3jEUIIIUR6uH/YcEfk3gFouAFK9s3e83K45zLcKdnfB57e0joaIUQidickJUuWJDY2NsX1YmJi+OGHH+ytRgghhBCpEX0F9vaA8/OhxnyoNA5cfbSOKnPIUdDQp2RvV4iL0joaIcT/Z3dC0rt3bxYsWJDiepGRkbz77rv2ViOEEEIIWzx7CEc+hcMfQblhUGsh5JB+nmb8ykGl8bCnCySkfGFVCJHx7E5IBg8eTEJCAm+++Sa7du3i7t276RmXEEIIIWyR8AzOfgu734R8LaHBOvCvqHVUmVtAbSjZD/b1BH2C1tEIke3Z/TCps7Oz6d/r1q1Ll2CEEEIIYSOl4Op6OD8XinWHJptBJ/Md26zAqxB713BHKXhm9uvoL0QmkqZRtmz9E0IIIUQ6itgLYa/Co3PQ6Hco3k2SEXsU727oV3JyktaRCJGt2f3tpdPpuHXrFnq9Ptm/GzdupGe8QgghRPb16D/4uzNcXmUYMarCCHDx1Doqx1buY4i9B/8t1joSIbItux/ZKl68OC4uKRd3d3enYcOG9lYjhBBCiNh7cGK8YbjaSl+Ab2mtI8o6dDqoNg32vQsegVCwjdYRCZHt2J2QnD9/3qb1cubMSWhoqL3VCCGEENlXQoyhw/rtUKgwCoLqax1R1qRzgpqL4O83wS0XBDXQOiIhspV0e+A0MjKSEydOcOLECSIjI9Nrs0IIIUT2o/QQvgLCWoN3MWi8SZKRjObsBnWWw4kJ8PCE1tEIka2kOSH5448/qFu3Lrlz56Zy5cpUrlyZ3LlzU69ePTZv3pweMQohhBDZx+1QCH0FYiOg8R9QuKOMAPWiuHpD3eXwz2CIvqx1NEJkG2lKSCZPnsxrr73Gvn370Ov1plG19Ho9e/fu5dVXX2Xy5MnpFasQQgiRdUWegl0d4MYmqL8ayn4Izu5aR5X9eARCre8Nc5TEyBxrQrwIdvchCQsLY9SoUZQsWZL+/ftTs2ZN8uTJA8Dt27c5cOAA8+bN47PPPqNu3bo0atQo3YIWQgghsoynt+DfsRD/BKpOA++iWkckvItCtRmwt4thokkXL60jEiJLszshmTFjBk2aNGHjxo14eHgkWVaqVCnq16/P+++/T6tWrZg+fbokJEIIIURi8dFw+mu4dxBeGgO5q2sdkUgsZyUoPwL2dDXcsXJy1ToiIbIsux/Z2rt3L+PHjzdLRhJzd3fniy++YO/evfZWI4QQQmQt+gTDnBc7XoecVaHRr5KMZFZ5GkGxLnCgr2GgASFEhrA7IYmKiqJQoUIprlekSBGioqLsrUYIIYTIGpSCG39A6Mug4qHJFij4P+mwntkVegNy14Kjw7WORIgsy+6EJCgoiH///TfF9Y4ePUpQUJC91QghhBCO7/4R2NkWIvZAww1Qqj842f3UtHjRSvU39CM5/bXWkQiRJdmdkDRt2pQhQ4Zw9epVq+uEh4czdOhQmjdvbm81QgghhOOKvmqYAfz8XKgxFyqPB1cfraMS9qj4OTy+AOHLtY5EiCzH7sszw4cPp1q1apQtW5bXX3+dmjVrmu6E3L59m/379/Pbb78B8Omnn6ZPtEIIIYQjeBYJp6ZC1Gl4aZyhg7RwbDodBM8yjLzlHgD5X9E6IiGyDLsTkrJly7Jy5Uq6dOnC6tWr+emnn5IsV0rh5eXF8uXLKVOmTJoDFUIIITI9fRycXwDXf4Fyn0CVSVpHJNKTkzPUXmKYL8YtFwTU1DoiIbKENE2M2LZtW06cOMHAgQMpXbo07u7uuLu7U7p0aQYNGsS///5LmzZt0itWIYQQInNSCq5uMMyw7uoDjTdDvhZaRyUygrMH1F0Bx0dB1FmtoxEiS0hTQgJQtGhRvv32W06fPs2TJ0948uQJp0+fZubMmRQtWjQdQjTYvHkzLVq0IFeuXHh5eVGtWjVmz56NXp/6YfgSEhJYsGABDRo0wN/fHw8PD0qUKMGgQYO4deuW1XJFixZFp9NZ/Wvbtm0a9lAIIYRDursfwl41PJ7V6Dco3t1wJV1kXW5+UOcHOPgePLmhdTRCOLw0JyTWPHr0iOHDh7N169Y0b2vq1Km0atUKDw8Ptm3bxpEjR2jRogWDBg2ibdu2xMfH27ytJ0+e0KxZM/r370+5cuUICwvjzJkzjB49mpUrV/LSSy9x8uRJq+ULFSpEmTJlLP4VLFgwzfsqhBDCQTy+CHu6QPgyqBMCFUaCSw6toxIvimc+qLEA9naDZw+1jkYIx6bs5OTkpG7fvm11eUREhPLz81NOTk5q5syZ9lajdu7cqQBVvnx59ezZsyTL+vTpowA1YcIEm7fXr18/BahWrVqZLfv5559NdcXFxZktL1KkiAoNDU31PiQnMjJSASoyMjJdt2urhIQEdfPmTZWQkKBJ/cI20k6Zn7SRY0iXdoq5q9ShD5Xa9aZSkWfSLzhh4lDH092DSoW2ViruidaRvFAO1UbZmNbtZOt5rt13SJRSyS4PCAjg4cOHfP3118yePdveahg7diwAgwYNwtXVNcmyoUOHAvDll1/y9OnTFLcVHR1NSEgIAAMGDDBb/vrrr1O4cGFOnTrFunXr7I5ZCCFEFpQQA6enwZ53DJPl1V8NvjJoS7aXuzqU+QD29QB9gtbRCOGQMuyRLaM2bdpw5coVu8pGREQQFhYGQLNmzcyWGx+TioqK4o8//khxe6dPnyY2NhaAkiVLmi3X6XSm1zds2GBXzEIIIbIYpYdLKyGsNeQoBI3/gKAGWkclMpN8LaFgGzj0vmGAAyFEqtg87O+VK1e4dOlSktf27t1Lzpw5rZaJjo5m1apVya6TnEOHDqHX63F1daVEiRIW1ylbtizXrl3j4MGDvPHGG8luLyHh/65cODtb7nCYI4fh+d+jR49aXL5z506++eYbTpw4wYMHD8iTJw8NGjRg8ODBVKhQwYa9EkII4TBu74CTkyDfy4ZExNld64hEZlW0M8TcgX/HQqVxWkcjhEOxOSFZsmQJX3zxRZLXUkoAjAYOHJi6qP6/CxcuABAYGIiTk+WbOfny5UuybnKKFy+OTqdDKcWlS5coVaqU2TrGpOvmzZsWtzFjxgyGDx/O6NGjcXV1ZdeuXYwdO5YlS5awYMEC3n333WRjiI2NNd2lAYiKigJAr9fbNWJYWun1epRSmtQtbCftlPlJGzkGm9sp6gy6f8dAjkKoOivAPZdxAxkfpHDc46n0YHTHRqDOzoFS72kdTYZy2DbKZrRuJ1vrtTkhKVq0KA0bNjT9f+fOndSuXRs3NzeL6zs5OeHv70+jRo147z37Dkrjybqnp6fVdYx3NCIjI1PcXmBgII0bNyY0NJSQkBBatEg6Rvzhw4c5ceIEYLi787yePXvSvn37JHdCKlWqRK1atahZsyZ9+vShUqVKBAcHW41h8uTJjBtnfuUkIiKCmJiYFPchven1eiIjI1FKWU36hPaknTI/aSPHkFI7OT2LwDv8a3Txj3lc/BMSPAtDZDxw58UHm4059PGU90N8zwwlNtad2KDXtI4mwzh0G2UjWrfTo0ePbFrP5oSke/fudO/e3fR/JycnNmzYQFBQUOqj09CcOXOoV68eP/74I5UrV2bAgAG4ubmxd+9eevbsScGCBbl27RpeXl5mZT///HOL26xevTqvvvoqv//+O9OnT2fFihVW6x8xYgRDhgwx/T8qKopChQoRGBiIr69v2ncwlfR6PTqdLtm7UEJ70k6Zn7SRY7DaTvFP4OwMdHf3oip+DrlrIg9nacfhj6fAJXju6YwKLA55GmsdTYZw+DbKJrRuJw8PD5vWszkhed6YMWPw9va2t7hNjCfoyY2g9eTJEwD8/Pxs2ma5cuU4ePAgw4cPZ+zYsQwfPhwnJyfy5MnDBx98QEBAAL169SIwMDBVsQYHB/P777/z999/J7uecTb75zk5OWl2QOt0Ok3rF7aRdsr8pI0cQ5J20idA+FK4tALKDIaKn6HT6bQOUeDgx5OTO9Rdhm5Xe/DIBTmraB1RhnDoNspGtGwnW+tMU0KS0Ywd2SMiItDr9RZ3ytjXw1qnd2vbXbNmDXFxcdy+fRtXV1fy5MkDwFdffQUYHsVKjbx58wJw//79VJUTQgihkRtb4Mw0KNgOmmwGJ9eUywhhK5ccUHc57H4Tai0C7+JaRyREpmV3QhIfH8+8efNQSuHu7k6/fv2SLJ84cSLlypWzueO7JcHBwTg5OREXF8eFCxcsdkI/c+YMADVq1Ej19l1dXc1mV//3338BzPqXHDt2DL1eT9WqVS1u69atWwD4+/unOg4hhBAvjsujk+jO9gP/l6DBOnB98Y/LimzCPTfUDoF93aHej+DhWI+5C/Gi2H3vZv369XzwwQd8+OGHfPfdd2bLjx07RocOHejSpYvdPfuDgoJo1KgRAH/++afZ8rNnz3Lt2jV8fHx45ZVXbNrm1atX2b59u8VlMTExbN68GR8fHzp16pRk2YwZM/joo4+sbvfIkSMA1KlTx6Y4hBBCvGBPrqE70Icc175HBc+CyhMkGREZz6sQBM+CPV0gzrYOvkJkN3YnJBs2bCBfvnzs2bOHAwcOmC3/6aef2LhxI5s3b+b777+3O0Djo2GzZ88mPj4+ybKvv/4agI8//tg02hYYRssqX748HTt2NCuzZcsWWrZsSXh4uFldU6ZMISIigilTplicO2Xfvn2cPXvW7PWjR4/y22+/odPp+OCDD1K/k0IIITJOXBQcGwWHBqFKDSSq3NeQo2DK5YRIL/4V4KUxhqQk4ZnW0QiR6didkBw4cIApU6ZQu3Ztq+u0atWKSZMmsXDhQnuroVGjRkycOJGTJ0/Srl07Dh8+zLlz5xg+fDiLFi2idevWjBgxIkmZ77//ntOnT7N27VqOHTtmtk2lFG3btmXz5s1cvnyZAwcO0L9/f8aPH8+IESMYMGCAWRkXFxdiY2Np0aIFS5Ys4eTJk1y8eJElS5bQqlUrdDodM2bMoG7dunbvqxBCiHSkj4Nzc2FXewhsCA03QM7KWkclsqvAelCiN+zvBUrm7hAiMbv7kFy/ft2mx5OaNGnCp59+am81AIwcOZKqVavy9ddf07RpU+Li4ihdujQzZ87k/fffN5t1vWPHjqxevZry5cubzZ7eoEED3n//fXbt2kXnzp2Jjo4mMDCQBg0asGPHDurXr28xhrlz59KyZUt+/vlnJk2axLVr11BKkS9fPlq0aMGgQYPs6scihBAinSkF13+Fs99C0Xeg8WZwck65nBAZreD/IDYCDg+BajNARnQTAkhDQuLu7k5cXFyK68XHx5OQkGBvNSatWrWiVatWNq3bqFEjIiIiLC4rU6YMs2fPTnX9bm5uvPnmm7z55pupLiuEEOIFuXsATnwBAbWh0a/gYj6nlBCaKtETTk6GU1OhwnCtoxEiU7D7ka3y5csTEhKS4nohISGUL1/e3mqEEEKIlD0Ohz1dITwEan0HFT+TZERkXuWHQ8wtuLBE60iEyBTsvkPStWtXBg0axNOnTxk0aJDZkLznzp1j1qxZzJ071647EkIIIUSKYu/DyYnw5Cq89AX4ldU6IiFSptNBtemwtzt4BEKB17SOSAhN2Z2Q9O3bl7Vr1zJ79mzmzJmDj4+PaXbziIgIHj0yDG3XuHFj+vbtmz7RCiGEEAAJsXBuDtzcAhVGQp5GWkckROronKDWYsPEiW65IFAGxRHZl92PbLm4uLBp0yb69++Pi4sLUVFRXLhwgQsXLhAVFYWLiwv9+/dn48aNZp3OhRBCCLsoBZdXQ1gr8MwHTf6QZEQ4Lmd3w2zu/46FyFNaRyOEZuy+QwLg4eHB3LlzGTt2LKGhoVy+fBmAIkWK0KRJE4KCZEZSIYQQ6eTOLsPjWXmbQ+NN4OyhdURCpJ2rjyEp+bsT1F5qmEhRiGwmTQmJUVBQEG+99VZ6bEoIIYRIKuosHP8cPAtA3RXgnlvriIRIXx5Bhse39vWA+mvAPZfWEQnxQtn9yJatHjx4QNOmTTO6GiGEEFlNzB04+D6cGA+VJ0HwdElGRNblXRyqToM970D8E62jEeKFSpc7JMl59uwZO3bsyOhqhBBCZBXxT+DsNxDxN1T8HAJqaR2REC9GrqpQ7mPY2w3qrQInV60jEuKFSNMdkrt37zJ48GBKlCiBh4cHzs7OZn/58+dPr1iFEEJkZfoEuBgCO/4HvuWg0e+SjIjsJ29TKPIWHHzPMIiDENmA3XdI7t27R82aNbl06VKK6+p0OnurEUIIkR3c3Aanv4SCbaHJZrkyLLK3wh0hJgKOjYQqk7WORogMZ/cdkkmTJhEfH8/ff/9NXFwcXl5e/Pfff+j1evR6PdeuXWP69On4+/tz+PDh9IxZCCFEVvHgOOxsB7dDof5aKP2+JCNCAJQeYDgWzszUOhIhMpzdd0h+//13Jk6cSJ06dSwuz58/Px9++CFKKSZMmMCaNWvsDlIIIUQW8+Q6/DsGlB6Cv5WhToWw5KVxhke3Lv0IRTtpHY0QGcbuOyRXrlyhVq3/e7ZXp9ORkJBgtt6rr77K7t277a1GCCFEVhL3CI6NhoMDoPRAqP29JCNCWKPTQfXZcG2D4bFGIbIouxMSLy+vJDOwe3l5mSZGTOzBgwfcv3/f3mqEEEJkBfp4OD/f8HhWYF1o+DPkrKJ1VEJkfk4uUDvEMPLcvUNaRyNEhrA7ISlatCh79uwx/b9kyZJ8++23qEQjQuj1eiZPnkzu3DJuvBBCZEtKwbVfIfQVw/PwTbZA/laGK79CCNu4eBomBT36KUSd1zoaIdKd3X1ImjZtypAhQ/D19aVNmza0a9eOYcOGUaVKFZo0aQLAtm3bOHPmDD169EiveIUQQjiKe4fg33GQuwY0+gVcvLSOSAjH5eYPdX6APV2g3krwzKd1REKkG7sTkrfffptff/2V2bNn06ZNGwYOHMiPP/7IoUOHOHHiBABKKQoVKsTEiRPTLWAhhBCZ3ONLcPxzQwJSaxF45tU6IiGyhhwFoMY82NMVGqwDNz+tIxIiXdiUkISFhbFz506qVavGa6+9BkDVqlU5c+aMaR03Nzd27NjBnDlz2LlzJ3q9npo1azJw4EBy5cqVMdELIYTIPJ49gJOTDAlJpXHgV17riITIevzKQuWJsOcdaLAWnD20jkiINLMpIZk0aRKHDh1i8uTkJ+fx9PRk2LBhDBs2LF2CE0II4QASnsH5uXBjE1QYAXmaaB2REFlbQC3DKHX73oU6y8HJOeUyQmRiNnVqP378OKtWraJfv36m14oXL869e/dSLBsXF8fOnTvtj1AIIUTmpBRc/gnCWoF7oGGGdUlGhHgx8r8C+VvDPx8YjkUhHJhNCUlUVBRlypRJ8tqlS5cszjvyvPv375s6uQshhMgi7uw2JCLRl6HxRij2DujsHrhRCGGPYl3BuxicmKB1JEKkiU2/HoUKFeKvv/4ye11n47CNSjJ3IYTIGqLOwe5OcHWdYRjS8h/LM+xCaKncUIiPgv8Wah2JEHazqQ9J69at6du3L0uXLqVIkSK4uBiKDR48GE9Pz2TLPn361ObERQghRCYVEwEnxkPsXag8AXxKah2REMKoylTY38vw6GShdlpHI0Sq2ZSQjBkzhiNHjrBz50527dplen316tU2VSIJiRBCOKj4p4YZou/sgoqjIbCO1hEJIZ6nc4KaC2H3W+CeG4Iaah2REKliU0Li7+9PWFgYR48e5dy5czx58oRevXoxY8YM/PySHwP74cOHDBkyJF2CFUII8YIoPYQvh/ClUGoAlB8us6sLkZk5uULdZbDzDajqDzkraR2REDZL1cSIVapUoUqVKgD07NmTTp06ERQUlGyZ27dv89FHH9kdoBBCiBfs1nY49SUU+B80/gOc3bSOSAhhCxcvQ9+uv9+EWt+Dd1GtIxLCJnbP1B4aGmrThIe5cuUiNDTU3mqEEEK8KA9PGGZY9y0N9dfILNBCOCKPAKi9xDBHSb3V4BGodURCpMjuhKRRo0Y2refq6mrzukIIITTw9CYcHwMqDoK/Aa/CWkckhEgLryIQPBP2dIEG68DVW+uIhEiW3QmJEEIIBxf3GE5/BQ+OwEtjIVc1rSMSQqQX/5eg4mewt6vhTok8eikyMZnFSgghsht9vGHOgp1tIXctaPiLJCNCZEVBDaBYdzjQ1zBQhRCZlCQkQgiRXSgF1zdC6CuADppshgKtZfQsIbKyQm0hsB4c+UTrSISwShISIYTIDu4fhp1t4P4haPgzlOwDTvLUrhDZQsk+4OYPp6dpHYkQFsmvkRBCZGXRlw0d1p09oOYC8MyndURCCC1UGAX/DIaLP0DxblpHI0QSkpAIIURW9OwhnJwMjy/AS+PAv4LWEQkhtKTTQbVvYG83cA8wPK4pRCZh9yNbTZs25eHDh+kYihBCiDRLeAZnZsLuNyHfy9BgrSQjQggDJ2eo/T2cnwd392kdjRAmdickYWFhbN++PT1jSdbmzZtp0aIFuXLlwsvLi2rVqjF79mz0+tSPGpGQkMCCBQto0KAB/v7+eHh4UKJECQYNGsStW7eSLRsZGcknn3xCyZIl8fDwIF++fHTp0oWzZ8/au2tCCJF2SsGVtRDWCtxzGTqs522qdVRCiMzG2R3qLodjn0Hkaa2jEQJIY6f2Ll26ULRoUcaPH8+1a9fSKyYzU6dOpVWrVnh4eLBt2zaOHDlCixYtGDRoEG3btiU+Pt7mbT158oRmzZrRv39/ypUrR1hYGGfOnGH06NGsXLmSl156iZMnT1ose/PmTapVq8a8efMYNWoUp0+fJiQkhEOHDlG1alXCwsLSaY+FECIVIvZA2KuGx7Ma/Q7FuoJOxiwRQljh5mdISg4OgCcZd/4mhM2UnXQ6nTp9+rT69ttvVeXKlZWLi4tq3bq1+vnnn1V8fLy9mzWzc+dOBajy5curZ8+eJVnWp08fBagJEybYvL1+/fopQLVq1cps2c8//2yqKy4uzmx58+bNFaBWrFiR5PULFy4od3d3FRAQoB4+fGhzLEopFRkZqQAVGRmZqnLpJSEhQd28eVMlJCRoUr+wjbRT5qdJG0WdV2r320odHKzU04gXV68Dk2PJMUg7vSBR55Xa3lSp2PupLipt5Bi0bidbz3PtvoTWvXt3ChQowKBBgzh69Ch///03BQsWpFu3bhQqVIiRI0dy8eLFNCdMY8eOBWDQoEG4uromWTZ06FAAvvzyS54+fZritqKjowkJCQFgwIABZstff/11ChcuzKlTp1i3bl2SZbt27WL79u3kz5+fTp06JVlWvHhx2rVrx927d5k9e7atuyaEEPaJuQuHPoDjow0d1qvPBI8AraMSQjgan5JQ9Uv4+x2IT/k8SoiMYndCsmTJEnx8fEz/r1mzJgsWLODmzZuMHz+esLAwSpcuTYsWLVi9ejVxcXGpriMiIsL0GFSzZs3MlpcpU4aCBQsSFRXFH3/8keL2Tp8+TWxsLAAlS5Y0W67T6Uyvb9iwIcmyNWvWANC4cWOcnMzftubNmwOwevXqFOMQQgi7xD+FU1Nhb1co8ibUWwW+pbSOSgjhyHIFQ7khsK876G1/BF6I9JTuDxnnyJGDpk2b0qRJE3x8fPjrr7/o3Lkz+fPnZ8iQIanq/H3o0CH0ej2urq6UKFHC4jply5YF4ODBgyluLyEhwfRvZ2dnq/EDHD16NMnr+/fvT1KftThOnjxp090aIYSwmdJD+HLY8Sp4l4DGmwwzLwshRHrI2xwKtYdD7xsGyBDiBbN7HpIvvviCYcOGmU7g4+LiWL9+PYsXLyY0NBSlFEopSpQoQc+ePSlcuDAhISFUrFiRN954g4ULF+Ln55dsHRcuXAAgMDDQ4l0JgHz58iVZNznFixdHp9OhlOLSpUuUKmV+ZfHSpUuAoQO7pVjy5s2bbBx6vZ7w8HDKly9vcb3Y2FjTXRqAqKgoUzl7RgxLK71ej1JKk7qF7aSdMr8Ma6Pbf6E7/SUqX2touAmc3QwnDHLSYBc5lhyDtJMGCnWEp7fRHRuNqvRFiqtLGzkGrdvJ1nrtTkjGjRvHe++9x6VLl1i0aBHLly/n/v37KKVwd3enXbt29OnThyZNmpjKvPPOO5w/f56BAwfSq1cv1q5dm2wdxpN1T09Pq+sYE6LIyMgUYw4MDKRx48aEhoYSEhJCixYtkiw/fPgwJ06cAAz9TVITizGOlGKZPHky48aNM3s9IiKCmJiYFPchven1eiIjI1FKWU36hPaknTK/9G4j5+iz+Fz8injPokSXmoVy9YN7D9MeaDYnx5JjkHbSiP+beF+YjP7wFJ4U7JnsqtJGjkHrdnr06JFN69mdkCilaNmyJcePHzf9/6WXXqJXr1507dqVnDlzWixXqlQpZs+eTY0aNeytOk3mzJlDvXr1+PHHH6lcuTIDBgzAzc2NvXv30rNnTwoWLMi1a9fw8vLKkPpHjBjBkCFDTP+PioqiUKFCBAYG4uvrmyF1Jkev16PT6ZK9CyW0J+2U+aVbGz29ie7EF5AQg6o9CzevIuRIuZSwkRxLjkHaSUOB09Ed7I93TBgUftPqatJGjkHrdvLw8LBpPbsTEoBjx47h7e1Np06d6N27NzVr1rSpXFhYmE1zhxhP0JPrk/HkyROAFB//MipXrhwHDx5k+PDhjB07luHDh+Pk5ESePHn44IMPCAgIoFevXgQGBprFcu/ePauxGONIKRZ3d3fc3d3NXndyctLsgNbpdJrWL2wj7ZT5pamN4qPh9DS4dwheGgO5q6NL/xAFciw5CmknDdWch+7vt8EjEPKaDypkJG3kGLRsJ1vrTFNC8u233/Luu++m6m7Cp59+yldffUWVKlVSXNfYkT0iIgK9Xm9xp4x9Pax1ere23TVr1hAXF8ft27dxdXUlT548AHz11VcAVKpUyazMvXv3rM7kbozDycmJokWL2hyLECKb0yfAxSVw+Uco+yFU/Bx0kooIITTk5AJ1lsKu9uCWE3JV0zoikcXZnSoVKVKEt99+O9WPNo0dO5aIiAh27tyZ4rrBwcE4OTkRFxdntdP6mTNnAOx6BMzV1ZWCBQuakhGAf//9F8Csf4nx7o+xPmtxVKhQIUl/EiGEsEgpuL4JQl8GlQBNNkOB1yQZEUJkDi45oO4KOPIxPEp54CAh0sLuhGTp0qXJPpp07949ateuzciRI5M8zuTp6Unu3Lnx9vZOsY6goCAaNWoEwJ9//mm2/OzZs1y7dg0fHx9eeeUVm+K+evUq27dvt7gsJiaGzZs34+PjYzb5YceOHQHD42aWRgwwbtO4nhBCWHX/COxsC/f2Q8MNUKqf4YqkEEJkJu65DHdK9veGp7e1jkZkYXYnJE2aNOH+/ftWlxsfg5o1axYff/yxvdUwZswYAGbPnm3W7+Trr78G4OOPP05yV+Lw4cOUL1+ejh07mpXZsmULLVu2JDw83KyuKVOmEBERwZQpU8w65Tds2JAmTZpw48YNs8kPL168yIYNG8idOzeDBg2ye1+FEFlc9BXY9y6cnwc15kGlceDqk3I5IYTQSo6CUGMu7O0CcVFaRyOyKLsTEpXCGPi+vr788ssvbNiwgV9++cXeamjUqBETJ07k5MmTtGvXjsOHD3Pu3DmGDx/OokWLaN26NSNGjEhS5vvvv+f06dOsXbuWY8eOWYy9bdu2bN68mcuXL3PgwAH69+/P+PHjGTFiBAMGDLAYy/LlyylatCh9+/ZlyZIlhIeHs3XrVlq3bo1Op+Onn37C39/f7n0VQmRRzyLh6Aj450MoOwRqLYQc+bWOSgghbONXDl76AvZ0gYTYlNcXIpUyvLt9gQIFiIiISNM2Ro4cyaZNm3j69ClNmzalatWqbNmyhZkzZ/Lrr7/i4pL0UYeOHTsSEBBAw4YNqVChQpJlDRo04P333wegc+fOlC5dmjfeeIPIyEh27NjBpEmTrMaRP39+jhw5Qr9+/ZgwYQJly5alW7duVKtWjcOHD9O0adM07acQIovRx8HZ2bC7o2Gkmobrwf8lraMSQojUC6wDJfvB/l6gZDJEkb50KqVbHf/fzp07CQsLM/1/7NixDBs2LNm+INHR0WzevJmnT59y7ty5NAebFUVFReHn50dkZKRm85DcuXOHoKAgGbYvE5N2yvyStJFOB9c2wLm5UKwbFOsCOmm3zECOJccg7ZSJXVwK9/9BX3UGdyIipI0yOa2PJVvPc23uRRkaGsq4cePQ6XSmx7WmTZtmdf3E682fP9/WaoQQwrHd3QenJkJgfWj0G7h4ah2REEKkn+LdIeY2nJoCgb20jkZkETYnJI0bNzb9WynF+PHjGTJkiNU7JE5OTvj7+9OoUSOzOT2EECLLefYAv5MD0Pnmh9ohhgnFhBAiKyr3MbrDQ/C8sQKCPtI6GpEF2PzI1vOcnJy4desWQUFB6R1TtiKPbAlbSDtlcvFPULvac6/AB+Qq2VLaKBOTY8kxSDtlfvqEeGJ3dMa9VGecCrXVOhxhhdbHkq3nuXZHFhoaSq5cuewtLoQQWYM+HvZ2R5UdSrxvFa2jEUKIF0PnRGTZaegufg93dmsdjXBwdickjRo1MhvdypKoqCh69uxpbzVCCJF5KQUHB0CRNyGPjLInhMhmnNxQtZfBiS/g4QmtoxEOLMPv3Tx9+pSlS5dmdDVCCPHiHf8MclaBwh21jkQIIbTh6gN1l8M/gw2TvwphB5s7ta9cuZIff/yRgQMH0rJlS5vn3Hj27JndwQkhRKZ19lvQOUNpyxOpCiFEtuERBLW+g33vQv2fwD231hEJB2NzQjJgwAAePXrEnTt3aNmyZZI5SVKi0+nsiU0IITKnSz9C5CmoMU/rSIQQInPwLgbVpsOed6DBOnDx0joi4UBsTkhmzpzJmjVrGDRokOm19evXkzNnzmTL3bt3j44d5XEGIUQWcWu7YdLDuitALrYIIcT/yVkZyo+Avd2g3o/g5Kp1RMJB2JyQdO/ene7duyd5rW7duikO+3v79m3sHFlYCCEyl/v/wJkZUH8tONn89SmEENlHnkbw7B4c6Gd4jEsu3Agb2N2pPTw8nICAgBTXCwwMJDw83N5qhBAic3j0Hxz51HBnRGZfF0II6wq9AblrwtHhWkciHITdCUmRIkVsmmDFycmJIkWK2FuNEEJo7+ktONAX6iwFN3+toxFCiMyvVH9wyQGnp2sdiXAAdickDx8+pH379rzxxht07drVbPmbb77J4MGDiYqKSlOAQgihqbgow/PQ1edCjgJaRyOEEI6j4ufw+D8IX6F1JCKTszshWbZsGRs2bGDv3r0EBgaaLa9UqRLLli2jbt26PHz4MC0xCiGENhJiYU8XqDQe/MpqHY0QQjgWnQ6CZ8H13+DGFq2jEZmY3QnJpk2bqFWrFqdPn2b6dPPbcZ999hmnTp3CycmJr776Kk1BCiHEC6dPgH09odQACKildTRCCOGYnJyhTgicmwX3Dmodjcik7E5Ijh49yrhx4/D397e6Tr58+Zg4cSI///yzvdUIIcSLpxQc/hDyv2L4E0IIYT9nD8Ns7kdHQNQ5raMRmZDdCcn9+/cpU6ZMiutVqlSJS5cu2VuNEEK8eCcngldRKGbeP04IIYQd3Pyhzg9wsD88uaF1NCKTsTsh8fX15datWymud+vWLXLkyGFvNUII8WL9twjiIqHcUK0jEUKIrCVHfqgx3zBQyLOHWkcjMhG7E5KaNWsyYcIEEhISrK6j1+uZMGECNWvWtLcaIYR4ca7+DHf3QJWpWkcihBBZk29pqDIZ9rwDCTFaRyMyCbunGh40aBCtW7emZs2a9O/fnxo1aphG24qIiODAgQPMnz+fY8eOsWnTpnQLWAghMsSdXXBpGdT7EXR2X6sRQgiRktw1oMwHsLeHYbJZJ2etIxIaszsheeWVV/j000+ZOnUq/fv3t7iOUopPP/2Ul19+2e4AhRAiwz3819BvpME6cHLVOhohhMj68rWE2LtwaCDUmGsYIlhkW2m6DDh58mR+/PFHKlSogFIqyV/FihVZvXo1kydPTq9YhRAi/UVfhn8+hDrLwcVL62iEECL7KNrZ8AjXv+O0jkRozO47JEZvvvkmb775Jrdu3eLKlSsAFC5cmLx586Y5OCGEyFAxdw1zjdT+HjwCtI5GCCGyn7IfwZFP4fw8KPWe1tEIjaQ5ITHKmzevJCFCCMcRHw17u0DwN+BVROtohBAi+6oyBfb3AvcgKNxe62iEBjK85+bt27dxdpbOSkKITEQfB3u6QoVR4P+S1tEIIUT2ptNBzQVweSXcDtM6GqGBdLlDcvXqVa5fv86zZ8/Mlt27dy89qhBCiPSh9HCgLxTrBkENtI5GCCEEGAYUqfMD7GoPbjkhZ2WtIxIvUJoSkl27dvH+++9z8uTJ9IpHCCEy1tFPIaAuFGqrdSRCCCESc/EyDAO8+02otRi8i2kdkXhB7E5ITpw4wcsvv4ynpyf16tVjz549VK9eHU9PTwCuX7/OhQsXcHV1pW7duukWsBBC2O30NHD1g5J9tI5ECCGEJe65ofYS2NfDMC+UR5DWEYkXwO6EZNKkSVSrVo2tW7eSI0cOfHx8WLlyJcWLFzetc/jwYdq1a8egQYPSJVghhLBb+DLDEL/B32odiRBCiOR4FYbgWYa+fg3WgquP1hGJDGZ3p/adO3cyevRocuTIYXWdatWqMX36dGbOnGlvNUIIkXY3Nhv+qn0jk28JIYQj8K8AL30Oe7tCgnkfZZG12J2QREREUKZMmf/bkJMTMTExZutVrVqVY8eO2VuNEEKkzd39cH6uYa4RJxnxTwghHEZgPSjeC/b3NgxIIrIsuxOSwMBAnjx5Yvq/n58fp06dMlvv3LlzSdYTQogXJuosHP8M6iwDZ3etoxFCCJFaBf8HeRrB4aGglNbRiAxid0JSsmRJ1q5da/p/5cqVGTt2LNeuXTO9dunSJYYNG0aRIjLpmBDiBXtyHQ6+Z0hG3Py0jkYIIYS9SvQCj0A4/aXWkYgMYndC8uqrrzJ+/HhGjBgBQI8ePTh16hSlSpWiSpUqVKlShbJly3L69GneeeeddAtYCCFS9Owh7O0ONReCZ16toxFCCJFW5UfAkxtwMUTrSEQGsDshefvtt+nVq5dpFvb27dszYMAAYmNjOX78OMePH+fZs2e0atWKkSNHplvAQgiRrPinsOcdqDoVfEpqHY0QQoj0oNNB8Ay4tR2ub9Q6GpHO7B72t2DBgsyfPz/Ja7Nnz+bdd99lx44d6PV6atasScOGDdMcpBBC2EQfbxi7vuxHkCtY62iEEEKkJ50T1PrOMHGiWy4IrKN1RCKd2H2HxJrg4GCGDBnCsGHD0jUZ2bx5My1atCBXrlx4eXlRrVo1Zs+ejV6f+lEXYmJiWLx4MQ0aNKBgwYK4ubkRFBREq1at+PXXX62Wa9y4MTqdzupflSpV0rCHQog0UQoODYRCb0De5lpHI4QQIiM4u0PdZfDvGIg0H0xJOKZ0S0hu3rzJwYMHOXjwIDdv3kyvzQIwdepUWrVqhYeHB9u2bePIkSO0aNGCQYMG0bZtW+Lj423e1pMnT6hXrx59+vTBx8eHVatWcfbsWZYvX86DBw9o06YNH3/8sdXyefPmpUyZMhb/ihUrlh67K4Swx79jwK8CFHlL60iEEEJkJFdfw4AlhwZC9FWtoxHpwO5Htozmzp3LN998w4ULF5K8XqJECT788EMGDBiQpu3v2rWL4cOHU758edavX4+rqytgSFIePHjAokWLmDp1KqNGjbJpewsWLODw4cMUK1aMn3/+GTc3NwCKFStG9erVKVq0KNOmTePtt9+mWrVqZuUnT55Mjx490rRPQoh0dm4uqAQoM0jrSIQQQrwInnmg5iLDY7r114B7Lq0jEmlg9x2S+Ph42rRpw6BBg/jvv/9QSiX5+++//0x3MBISEuwOcOzYsQAMGjTIlIwYDR06FIAvv/ySp0+f2rS98+fPA4ZHy4zJiFGuXLkoXbo0AKGhoXbHLIR4ga6shQdHodIErSMRQgjxIvmUgKrTDAOZxMucd47M7oRkxowZ/PbbbwQHB/Pdd99x7Ngxbty4wfXr1zl69CiLFy+mWrVq/Pbbb8yYMcOuOiIiIggLCwOgWbNmZsvLlClDwYIFiYqK4o8//rBpm5UrVwbg9OnTqOcm2ImJiSE8PBwAT09Pu2IWQrxAt0Ph8mqoMdcwAosQQojsJVdVKPcx7O1mGNhEOCS7E5Lvv/+e9u3bs2/fPt59911eeukl8ubNS758+ahUqRI9e/Zk//79tGvXju+++86uOg4dOoRer8fV1ZUSJUpYXKds2bIAHDx40KZt9urVizZt2nDy5EkGDBjAzZs3UUoRHh5O586duX//Pm5ubrRo0cJi+WPHjvHOO+9QtmxZcuXKRalSpejSpQt79+61ax+FEHa6fwROfQV1loJTmp8+FUII4ajyNjX0Hzz4nszm7qDs/hUPDw9nxYoVODlZz2mcnJwYOXIk9erVs6sOY7+UwMBAq/Xky5cvybopcXFx4eeff2bz5s188skn5M+fHxcXF1PHeC8vL+bNm0epUqUslp8/fz5Dhgxh8ODBeHt7888//zBmzBhWrlzJuHHjGD16dLL1x8bGEhsba/p/VFQUAHq93q4Rw9JKr9ejlNKkbmE7aafnPL6I7sjHqLo/gpMHZIL3RdrIMUg7OQZpp8wv07VRwfbw5Ba6oyNRlSdqHU2moXU72Vqv3QmJr68vAQEBKa4XEBCAn5+fXXUYT9aTe3wqR44cAERGRtq83Tlz5jBs2DCCg4PZtGkTRYoU4eLFi2zZsoWuXbtSs2ZNi+U6dOjA+PHjadCggem1ChUq0LRpU0qXLs3nn39OpUqVaNOmjdW6J0+ezLhx48xej4iIICYmxuZ9SC96vZ7IyEiUUskml0Jb0k7/x+lZBH4nBxBZbib6yHjgjtYhAdJGjkLayTFIO2V+mbKN/DvifX8q+n8m8aRQb62jyRS0bqdHjx7ZtJ7dCUnDhg3ZsWMHXbt2TXa9HTt20Lx50jkBoqKi+PDDD/n+++/trd5uc+bMYeDAgRQrVow///wTd3d3AMqXL0+TJk0oU6YMHTp04KuvvjLrRD9w4ECL2yxYsCC9evVi9uzZfPnll8kmJCNGjGDIkCGm/0dFRVGoUCECAwPx9fVNhz1MHb1ej06nS/YulNCetNP/F/cI3e4hqNrzCfArp3U0SUgbOQZpJ8cg7ZT5Zdo2CpyG7tB7eD/9C4p00joazWndTh4eHjatZ3dCMnbsWF5//XVy585N69atLa6zceNGvv76a37//fckrz99+pSlS5emmJAYT9CTG0HryRPDqAq23oWZMmUKYBi1y5iMGHl5efHee+/x2Wef4eLiwrRp02zaJhhG7QLYv38/8fHxuLhYfmvd3d3N6gXD421aHdA6nU7T+oVtsn07JcTCvm5Q6Qt0OStoHY1F2b6NHIS0k2OQdsr8Mm0b1ZiLbk9n8AySiXLRtp1srdPuhGT69OkEBATwv//9jyJFilC2bFmCgoIAuH37NmfPnuXy5cu8/PLLfP7550nK2jpEr7Eje0REBHq93uJOGSdhtNbpPbE7d+5w7do1AMqVs3x11fj6woULmTp1Ks7OzjbFmjdvXgASEhKIiooiVy4ZD1uIdKP0sL83lOwLgXW0jkYIIURm5uQCtZfC7g7glhNyBWsdkUiB3QlJSEiI6d+XLl3i0qVLFtfbvHmzxdd1NgzRGRwcjJOTE3FxcVy4cMFiR/MzZ84AUKNGjZSDtqF+Y9Lz6NEjoqKiyJkzJwDnzp3j7t271K1b12K5W7dumcpr8eiVEFmWUvDPR4arXAVe1ToaIYQQjsDFE+ouh10docY88LU8WJHIHNI0VuY333xjV4f1hw8fJulHYU1QUBCNGjUiNDSUP//80ywhOXv2LNeuXcPHx4dXXnklxe0FBASQM2dOHjx4wNmzZ3n55ZfN1jl79ixg6EifeN9WrlxJSEiI1cTryJEjAFSvXt3q41pCCDucmgI58kPx7lpHIoQQwpG45TQMDb+3K9RdCZ55tY5IWJGmM+dOnTqZHtNKjdu3b/PRRx/ZtO6YMWMIDQ1l9uzZ9O7dO8nJ/tdffw3Axx9/bBptC+Dw4cN06dKFChUqsGrVKlMZJycnunTpwqxZs5gzZw4DBgxIsr3Y2FjmzZsHQNu2bc0eEbt8+TJhYWE0btw4yes3b95k8eLFAHz44Ye2vQlCiJRdWAIxEVDta60jEUII4YhyFIDqcw1JSf214GbfyK8iY9nduyU0NNTufhK5cuUiNDTUpnUbNWrExIkTOXnyJO3atePw4cOcO3eO4cOHs2jRIlq3bs2IESOSlPn+++85ffo0a9eu5dixY0mWTZgwgRo1anDu3Dlee+01du/ezdWrV9mxYwcvv/wyly9fpnTp0kyfPj1JOWPi0r59e2bOnMmxY8e4dOkSa9asoVGjRjx58oQhQ4bw9ttv2/WeCCGec+03uBMG1abJLOxCCCHs51cWKk2APV0g4cVPsSBSZndC0qhRI5seTYqOjuaLL75I8pqrqyuNGjWyua6RI0eyadMmnj59StOmTalatSpbtmxh5syZ/Prrr2ZxdOzYkYCAABo2bEiFCklH4/H19WX37t3MnDmTx48f87///Y9ixYrRpk0bYmNjmTJlCocPHzZ1Uk8cw8aNG2nbti0LFiygbt26lC5dmo8++ohKlSqxbds20x0bIUQaReyBi99BzUWgy2SjtwghhHA8AbWg9ADY1xP0CVpHI56jU0qpjKzg9u3b5M+fn4QEaXxLoqKi8PPzIzIyUrN5SO7cuUNQUFDmG7ZPmGSrdnp4Eg4PgQZrwdVH62hslq3ayIFJOzkGaafMz2Hb6OIPcP8gBH+bLe6+a91Otp7nprn39fr169m4cSPXr1/n2bNnZsstvSaEEBZFX4V/BkO9VQ6VjAghhHAQxbtB7B04OREqfqZ1NOL/szshSUhIoF27dmzcuBGlFDqdDms3W2wZ4lcIkc3F3oN9PaDWYvBI/WAZQgghhE3KDYPDw+C/RVCyj9bRCNLQh2TWrFls3bqV8ePHs23bNtzd3Vm+fDmhoaGEhoayfPlyXn/9dTw8PFi9enV6xiyEyGriow2dDatNB+9iWkcjhBAiq6v6JUT8DVd/1joSQRrukKxYsYKxY8cyfPhwAJydnalduzbFixc3rdO5c2cGDBjAjh076NChQ9qjFUJkPfo42Nsdyg+HnJW1jkYIIUR2oHOCWotg91vgnguCGmodUbZm9x2SM2fO8OqrKc+a3K9fPzZt2mRvNUKIrEwpONAfirwNeWwfeU8IIYRIMydXqPMDnJgID//VOppsLU3d7RPPZO7h4cHNmzfN1nFxceH69etpqUYIkVUdGwm5a0Dh9lpHIoQQIjty9Ya6K+CfD+HxJa2jybbsTkiKFCnC6dOnTf8vUKAAv/zyi9l6q1atwtPT095qhBBZ1ZlvwMkdSvXXOhIhhBDZmUcA1P4e9veEmLtaR5Mt2d2HpGbNmowcOZLKlSuTN29emjdvzowZM4iOjqZFixYAbNq0iSVLltCyZct0C1gIkQVcWgWPzkH1OVpHIoQQQoBXEQieCXu7QIN14OKldUTZit13SDp27MiRI0eoX78+AMOGDcPf35/58+fTvn172rdvz+LFi3FycmLMmDHpFrAQwsHd3ArXf4XgWdliUiohhBAOwv8lqDAS9nQ1DLgiXhi7E5JXXnmFmzdvsm/fPgDy5s3L7t27adWqFV5eXnh6etK4cWP++usvatasmW4BCyEc2L2DcPZbqL0EnJy1jkYIIYRIKqghFOsGB/qC0msdTbZh9yNbOp2OPHnyJHmtTJky/P7772kOSgiRBUWdM3Rir78GnD20jkYIIYSwrFBbw2zuRz+Fql9pHU22kKZRtoQQwiZPb8LB/lB7Kbj5ax2NEEIIkbySfcHFF05P0zqSbMHuhCQ+Pp5Zs2bx7bffsmDBArPlEydOZP369WkKTgiRBTyLhL3doMZ8yJFf62iEEEII21T8zDAUcPgyrSPJ8uxOSNavX88HH3zAhx9+yHfffWe2/NixY3To0IEuXbqg18szeEJkSwkxsOcdqDwJfEtrHY0QQghhO53OMPLWjT8MfyLD2J2QbNiwgXz58rFnzx4OHDhgtvynn35i48aNbN68me+//z5NQQohHJA+Afa9C2UGGyY/FEIIIRyNk7NhIJZzc+Hufq2jybLsTkgOHDjAlClTqF27ttV1WrVqxaRJk1i4cKG91QghHJFS8M9gyP8a5JN5iIQQQjgwZ3eouxyOfwaRZ7SOJkuyOyG5fv06derUSXG9Jk2acP78eXurEUI4ohPjwackFHtH60iEEEKItHPzgzrL4NAAeHJd62iyHLsTEnd3d+LiUp40Jj4+noSEBHurEUI4mvMLID4ayn6kdSRCCCFE+vHMCzUXwt7u8OyB1tFkKXYnJOXLlyckJCTF9UJCQihfvry91QghHMnV9XDvAFSZonUkQgghRPrzKQlVp8KeLhD/VOtosgy7E5KuXbsybdo0Bg8ebPGRrHPnzjFo0CCmTZtG9+7d0xSkEMIB3N4Bl1ZAzfmGkUmEEEKIrChXMJT5EPb1AH281tFkCXbP1N63b1/Wrl3L7NmzmTNnDj4+PgQGBgIQERHBo0ePAGjcuDF9+/ZNn2iFEJnTg2Nwago0WAtOrlpHI4QQQmSsfC0g9h4cGgg15smFuDSy+w6Ji4sLmzZton///ri4uBAVFcWFCxe4cOECUVFRuLi40L9/fzZu3Iizs3N6xiyEyEweh8PhIYYRSFy8tI5GCCGEeDGKdgK/8vDvGK0jcXh23yEB8PDwYO7cuYwdO5bQ0FAuX74MQJEiRWjSpAlBQUHpEqQQIpOKiYD9vaB2CLjn1joaIYQQ4sUqMxiOjoRzc6D0+1pH47DSlJAYBQUF8dZbb6XHpoQQjiLusaFTX/As8CqsdTRCCCGENipPhAN94coaKNxR62gckt2PbAkhsrGEZ7C3C1QcDf4VtI5GCCGE0I5OZ+hHcvknuPWX1tE4JElIhBCpo/SGK0HFe0JQfa2jEUIIIbTn5AJ1lsLpaXD/iNbROBxJSIQQtlMKjnwMQQ2g4OtaRyOEEEJkHi45DAO8HBkGjy9qHY1DkYRECGG709MMnddL9NI6EiGEECLzcc9lGOhlf294elvraByGJCRCCNtcXApPrkH5EVpHIoQQQmReXoWg+mzY2xXiHmkdjUOQhEQIkbLrG+HWNgieIZM/CSGEECnxKw8vjTOMRpkQq3U0mZ4kJEKI5N3dB/8thFrfgU6+MoQQQgibBNaBkn0Mj28pvdbRZGoZfnYRHR3NyJEjM7oaIURGiDwNxz+HusvA2V3raIQQQgjHUuA1yNsM/vnIMDCMsCjDE5LHjx8zderUjK5GCJHenlyDQwOhzjJw9dU6GiGEEMIxFe8BOfLDqSlaR5Jp2TRTe8+ePe2u4OnTp3aXFUJoJPY+7O0ONReCZx6toxFCCCEcW7lP4PAQuPCdjFRpgU0JSUhIiNVlOp0OZeUWlHGZTjrBCuE44p8aOuFVnQY+JbSORgghhHB8Oh1U+xr29gD3QJnL6zk2JSQA33zzDX5+fkleCw0N5aeffqJDhw6UK1eOvHnzAnDr1i1Onz7N2rVrqV27Nt27d09zoJs3b+brr7/mn3/+ITY2ljJlytCzZ08GDBiAk1PqnjyLiYlh+fLlLF26lPDwcO7cuYO/vz/BwcG89957vP669Q9JbGws06ZNY+XKlVy8eBFvb2/q1avHiBEjqFWrVlp3Uwht6eNhX3coNwxyVdU6GiGEECLr0DlBrcXw95uGOb0C62kdUaZhc0LSqVMngoKCTP/fu3cvs2fPJjw8nDx5LD/S8eWXX9KqVSuzRCa1pk6dyvDhw3nttdfYtm0bPj4+fPfddwwaNIitW7eyfv16XFxs25UnT57QoEEDDh8+TKtWrVi1ahUFCxbk/PnzfP7557Rp04Zhw4bx1VdfmZV9/PgxTZs25ciRI0yZMoW2bdty48YNPvnkE+rVq8cPP/xA586d07SvQmhGKTg4AAp1gLxNtY5GCCGEyHqc3Qx9M3d1gGrTwb+C1hFlDsoGmzdvVnFxcUlee+WVV9T27dtTLLtt2zbVoEEDW6qxaOfOnQpQ5cuXV8+ePUuyrE+fPgpQEyZMsHl706dPV4AqVqyYio2NTbLs3r17ysfHRwHqn3/+MSvbq1cvBaiJEycmef3BgwcqKChIubu7qwsXLqRi75SKjIxUgIqMjExVufSSkJCgbt68qRISEjSpX9jmhbTT0VFKnZmVcdvP4uRYcgzSTo5B2inzkzZKo6e3ldreRKnHVzK0Gq3bydbzXJuedXr55ZfN7kAcOHCAMmXKpFi2TJkyHD9+PJVp0v8ZO3YsAIMGDcLV1TXJsqFDhwKGOzG2dp4/f/48AMHBwbi5uSVZlitXLkqXLg0YHkdL7PLlyyxZsgR3d3fef//9JMv8/f3p2bMnsbGxTJ482bYdEyIzOTsL0EGZgVpHIoQQQmR9HkGG+b329YDYe1pHozm7h/2NjY3l3LlzKa539uxZ4uPj7aojIiKCsLAwAJo1a2a2vEyZMhQsWJCoqCj++OMPm7ZZuXJlAE6fPm3WGT8mJobw8HAAPD09kyxbt24der2e4OBgi4+gNW/e3LReQkKCTbEIkSlcXg2RJ6DSF1pHIoQQQmQf3sUMHd33vAPx0VpHoym7E5JKlSoxZMgQ7ty5Y3Wd27dvM3ToUCpVqmRXHYcOHUKv1+Pq6kqJEpZH+ylbtiwABw8etGmbvXr1ok2bNpw8eZIBAwZw8+ZNlFKEh4fTuXNn7t+/j5ubGy1atEhSbv/+/UnqsxbHgwcP+O+//2yKRQjN3doOV9dB9TmGEUCEEEII8eLkrALlh8PebqCP0zoazdjcqf15w4YNo0OHDpQsWZK2bdsSHBxMYGAgSikiIiL4559/+OWXX4iOjmbt2rV21XHhwgUAAgMDrY6klS9fviTrpsTFxYWff/6ZzZs388knn5A/f35cXFxMd3G8vLyYN28epUqVshiLcSSx5yV+/cKFC1YfZ4uNjSU2Ntb0/6ioKAD0ej16vd6mfUhPer0epZQmdQvbZUg73T+M7vR0VL01gBPIZyBN5FhyDNJOjkHaKfOTNkpHgQ0hJgLd/n6omovS9QKh1u1ka712JyRvvPEGkydP5rPPPmPFihWsWLEiyXKlFE5OTkyePJl27drZVYfxZP35x6cSy5EjBwCRkZE2b3fOnDkMGzaM4OBgNm3aRJEiRbh48SJbtmyha9eu1KxZM9WxODs74+7uTmxsbLKxTJ48mXHjxpm9HhERQUxMjM37kF70ej2RkZGm9hKZU3q3k/OTcHzPfsrDigtR9x8Bj9IeZDYnx5JjkHZyDNJOmZ+0UTpzb4Cn20Wc937I45Kj0m2zWrfTo0e2nV/YnZAAfPrpp7z88svMmjWLnTt3cu3aNQAKFixIo0aNGDhwIFWqVElLFeluzpw5DBw4kGLFivHnn3/i7u4OQPny5WnSpAllypShQ4cOfPXVV2ad6NPDiBEjGDJkiOn/UVFRFCpUiMDAQHx9fdO9vpTo9Xp0Ol2yd6GE9tK1nZ7eQndiFKrBCgJzFEifAIUcSw5C2skxSDtlftJGGSDoY3T/jiPHg5VQ5sN02aTW7eTh4WHTemlKSACqVKnCd999l9bNWGQ8QU9uBK0nT54A2DzXyZQpUwDDqF3GZMTIy8uL9957j88++wwXFxemTZtmcywJCQmmR7GSi8Xd3d2sXgAnJyfNDmidTqdp/cI26dJOcVGwvzvUmIvOu1D6BScAOZYchbSTY5B2yvykjTJApbHoDr0Pl1dBsXfSZZNatpOtdWbqT5CxI3tERITVZ9Bu3ryZZN3k3Llzx3QXp1y5chbXMb6+cOHCJKNlGbd/69Yti+USv25LLEK8cAmxsKcLVJoAfpYHZxBCCCGEhnQ6CJ4F13+Dm1u1juaFSXNCEhMTw7Jly+jfvz//+9//TCfmP/30E/fupW1c5eDgYJycnIiLi7Paaf3MmTMA1KhRI1Xb1lnpMGTM5B49emTqNwKY+pUY67MWh7+/PyVLlkxVLEJkOH0C7OsJpd6DgFpaRyOEEEIIa5ycoU4InP0W7tk2iqyjS1NCEhYWRvHixenRowcLFy5k06ZNpkeoJk+eTOHChVm/fr3d2w8KCqJRo0YA/Pnnn2bLz549y7Vr1/Dx8eGVV15JcXsBAQHkzJnTVNYS4+uenp5JHr1q3749Tk5O/PPPPxY7rW/fvh0wdPZ3dnZOMRYhXhil4PBHkO9lyN9K62iEEEIIkRJnD6i7HI6OgKiU5/1zdHYnJOfOneO1117j9u3b1K5dm3feeSdJJ/ANGzbw9ttv89Zbb3HkyBG7AxwzZgwAs2fPNptg8euvvwbg448/No22BXD48GHKly9Px44dk5RxcnKiS5cugKFz+/Pbi42NZd68eQC0bds2yXNvRYsWpXv37sTGxjJ37twk5R4+fMj333+Pm5sbI0eOtHtfhcgQJyeBV2Eo3k3rSIQQQghhKzd/qPMDHOwPT29qHU3GUnbq0aOHyp8/vzp27JjpNW9vb3XhwgWz9d566y17q1FKKTVx4kQFqNdee039888/6uzZs+rTTz9VgGrdurWKi4tLsv7777+vAAWoQ4cOJVkWGRmpatSooQD18ssvq127dqkrV66osLAw1ahRIwWo0qVLq5s3b5rFERUVpYKDg5WLi4uaNm2aunDhgtq9e7eqXbu2cnJyUj/88EOq9y0yMlIBKjIyMtVl00NCQoK6efOmSkhI0KR+YRu72+n8IqX+GZoxQYkk5FhyDNJOjkHaKfOTNnqBIs8qtb2ZUrEPU11U63ay9TzX7jskf/31FzNmzEhxFvb33nvP5lnUrRk5ciSbNm3i6dOnNG3alKpVq7JlyxZmzpzJr7/+iotL0sHCOnbsSEBAAA0bNqRChQpJlvn6+rJ7925mzpzJ48eP+d///kexYsVo06YNsbGxTJkyhcOHD1ucANHHx4fdu3fz+eefs3jxYsqXL8/rr79OYGAgu3fvpmvXrmnaTyHS1bVf4O7fUPVLrSMRQgghhL18S0PlSbDnHUh48XPWvQg6pZSyp6C7uzunTp1KMqKUj48Px44do3jx4qbXrly5QpkyZZIdujc7i4qKws/Pj8jISM3mIblz5w5BQUEybF8mlup2urMLzkyH+j+BU/rPpyPMybHkGKSdHIO0U+YnbaSBG1sgPATqLDd0fLeB1u1k63mu3ZH5+flx+fLlFNc7efIk/v7+9lYjhEith//CiQlQZ5kkI0IIIURWkf9lyP8a/DPIMGBNFmJ3QlK3bl2GDx+e7J2PqKgoPvvsM+rXr29vNUKI1Ii+DP98YBiZw9Vb62iEEEIIkZ6KvQM+peDEF1pHkq7snql92LBhNGrUiOLFi9O7d2+Cg4PR6/UcPnyYkydPcuDAAb7//nvu3LljGrlKCJGBYu4a5hqp9T14BGodjRBCCCEyQtmP4MincH4+lOqvdTTpwu6EpH79+syYMYMhQ4YwadIk0+tvvfWW6d86nY5Zs2aZJhUUQmSQ+GjY2wWqzQDvolpHI4QQQoiMVGUK7O8FHkFQ6A2to0mzNPVuGTx4MDt27KB169Z4enqilEIphaenJ6+99hq7d+/mvffeS69YhRCW6ONgbzeoMBJyJj/qnRBCCCGyAJ0Oai6ASyvg9g6to0kzu++QGNWrV4/ffvsNvV7P3bt3AcOM6DLighAvgNLDgX5QtCsENdQ6GiGEEEK8KE6uhokTd7U3TKKYs7LWEdkt3bIGJycngoKCZPg3IV6ko8MhoDYUaqt1JEIIIYR40Vy8oO4KODwEHodrHY3d7M4cOnXqxP79+60uX7duHcWKFaN48eJJ5ioRQqST01+Diw+U7Kt1JEIIIYTQintuqL3E0KckJkLraOxid0Ly008/0aBBgyQd2hOrX78+ISEhjB49mkuXLtlbjRDCkvDlEH0JKn6mdSRCCCGE0JpXYQj+FvZ0gbjHWkeTaml6tkqv1zN69GiaNWvGjRs3kizLkycPjRo1khG2hEhvNzbDjU1Q7RtDpzYhhBBCCP+KUHG0YdTNhGdaR5MqaUpIfvvtN0qUKEFoaChVqlTh999/T6+4hBCW3NsP52ZD7e/ByVnraIQQQgiRmQTVh+I94UAfw8A3DiJNCUlwcDBHjhyha9eu3L17lzZt2jB48GCePXOsrEwIR+Ac/R+646MNndecPbQORwghhBCZUcHXDSNvHh4GSmkdjU3SPByWl5cXS5cuZdmyZXh7ezNnzhxq1arF2bNn0yM+IQTA0xv4nh2Oqr0U3Py0jkYIIYQQmVmJXuARAGemaR2JTdJtfN533nmHw4cPExwczLFjxwgODmbx4sXptXkhsq9nD9Ht60FU2S/BM5/W0QghhBDCEZQfge7pdVweHdc6khSl64QhJUqUYM+ePQwdOpSnT5/Sr18/+vTpk55VCJG9xD+FPV1QlSeTkKO41tEIIYQQwlHodKiqM4j3qaR1JClKU0KyevVqfvjhBx48eGB6zcXFha+++oo//viDwMBA9u3bl+YghciW9Amw710o8wHkCtY6GiGEEEI4GgcZjdPuhKRhw4asX7+ekJAQ7t69a7a8ZcuWHD9+nJYtW6IcpEONEJmGUnBoIBRsC/laaB2NEEIIIUSGcbG3YFhYWIrrBAUFsXnzZq5cuWJvNUJkT/+OBb9yULST1pEIIYQQQmSodO1DYkl0dDQhISEZXY0QWce5uaB/BmUGax2JEEIIIUSGy/CE5PHjx4wbNy6jqxEia7iyFh4chsqTtI5ECCGEEOKFsPmRrbCwMNavX0/Pnj2pUqUKPXv2tKnc06dP7Q5OiGzldihc/hHq/egwndCEEEIIIdLK5oSkffv2PHz4kEOHDrFnz55UPYalk5MrIZL34Cic+hIarAMnu7t2CSGEEEI4HJvPfIYMGcKqVavo37+/6bVvvvkGP7/kZ41++PAhQ4YMsT9CIbK6xxfh8DCo/xO45NA6GiGEEEKIF8rmhGTUqFGMGjUqyWudOnUiKCgo2XK3b9/mo48+si86IbK6mDuwvw/UDgH3XFpHI4QQQgjxwtndqT00NJRcuVI+gcqVKxehoaH2ViNE1hX3CPZ0heqzwKuQ1tEIIYQQQmjC7ofVGzVqZNN6CQkJXL582d5qhMiaEp7Bni7w0ljwK691NEIIIYQQmsnwYX8jIyN59913M7oaIRyH0sP+3lCyDwTW0ToaIYQQQghN2XSH5IcffrC7gsjISLvLCpHlKAWHh0DeplDgNa2jEUIIIYTQnE0JSY8ePeweulcpJcP+CmF0aip45IXiPbSORAghhBAiU7C5D0nHjh3x9PRMdQVPnjxh7dq1qS4nRJZzYQnE3IZq07WORAghhBAi07A5Ifn2229THOLXklu3brFmzZpUlxMiS7n2m2Em9johMgu7EEIIIUQiNiUkY8aMwdvb264KfHx8GDNmjF1lhcgSIvbAhcVQfw3oMnwcCSGEEEIIh2JzQmIvNzc3mjRpYnd5IRxa5Cn4dxw0WAvOblpHI4QQQgiR6WT45dr79+9LQiKyp+ircGgQ1F0Grj5aRyOEEEIIkSnZPTGi0a1bt9i2bRvXr1/n2bNnZssfP36c1iqEcDyx92FfD6i1GDxS3/dKCCGEECK7SFNC8tVXX/H5558nSUSUUgAy1K/IvuKfwJ53oNrX4F1M62iEEEIIITI1ux/Z+u233/j0009p0KABo0aNwsXFhYEDBzJmzBjGjBlDr169yJcvH+7u7owcOTLNgW7evJkWLVqQK1cuvLy8qFatGrNnz0av16dqO40bN0an06X45+/vb1a2aNGiyZZp27ZtmvdTODh9HOztBuU/hZxVtI5GCCGEECLTs/sOyaxZs+jevTtLliwBYMaMGXzwwQcUL17ctE50dDStW7fG19c3TUFOnTqV4cOH89prr7Ft2zZ8fHz47rvvGDRoEFu3bmX9+vW4uNi+K7lz5yYgIMDq8rNnz1KuXDmLywoVKkSOHDksLitYsKDNMYgsSCk4+B4U6QR5GmsdjRBCCCGEQ7A7ITl8+DDjx49Pdh0vLy/Gjx/P4MGD+fjjj+2qZ9euXQwfPpzy5cuzfv16XF1dAUOS8uDBAxYtWsTUqVMZNWqUzdscOHAgY8eOtbhs+/bttGjRgkGDBllc/sMPP9C4cePU7obIDo6NhFzBULiD1pEIIYQQQjgMux/Zio6OJn/+/Kb/u7i4EBkZabZegQIFOH/+vL3VmBKHQYMGmZIRo6FDhwLw5Zdf8vTpU5u2V6ZMmSRxP+/bb78lb968dOzY0b6ARfZ05htwcoNS72kdiRBCCCGEQ7E7ISlQoAA3b940/T8wMJA9e/aYrbdjxw57qyAiIoKwsDAAmjVrZra8TJkyFCxYkKioKP744w+btrlgwQL69u1rcdnFixfZuHEj/fv3N0t+hLDq0iqIOgsvjdU6EiGEEEIIh2N3QlKhQgVmzJhh+n/t2rUZM2YMa9as4eHDhzx8+JCVK1fyySefUKFCBbvqOHToEHq9HldXV0qUKGFxnbJlywJw8OBBu+pIbM6cObi4uNCvXz+r6+zcuZO2bdtSsmRJcufOTfny5enXrx8nT55Mc/3CAd3cBtd+geqzQUaWE0IIIYRINbv7kLzxxhu8++673Lp1i9DQUD744ANWrVpFp06dzNb98MMP7arjwoULgOHui5OT5dwpX758Sda1V3R0NN9//z0dO3Ykb968VtebMWMGw4cPZ/To0bi6urJr1y7Gjh3LkiVLWLBgAe+++26y9cTGxhIbG2v6f1RUFAB6vT7VI4alB71ej1JKk7od3v1D6M5+g6q3BtBBBr6H0k6Zn7SRY5B2cgzSTpmftJFj0LqdbK3X7oSkffv2eHh44OXlBUBwcDDLly9nwIABPHjwAIAcOXIwZswYOnfubFcdxpN1T09Pq+sYR7yy1H8lNZYtW8bDhw+tdmYH6NmzJ+3bt09yx6dSpUrUqlWLmjVr0qdPHypVqkRwcLDVbUyePJlx48aZvR4REUFMTEya9sEe+v/X3p3Hx3Tv/wN/TdaJSCKrJJYgKhGllRCiJbmI2vq11NqmRVtLadqiKrgtWhT3okp7lSuKpKi1l4olShu7CK41aSWWMCEkEiFkmc/vD7+ZmzEzyWQyyZkkr+fjMY9b5/M5n8/7zGeOe97OOZ+PUomcnBwIIfQmfaTN8nEqHJOn4cGLKyHu5wLIrdT+OE7mj2NUPXCcqgeOk/njGFUPUo/Tw4cPDapndEJSt25dDB06VGPb0KFDMXDgQJw/fx5KpRKtWrUqNZkwJ8uWLUNwcDA6dOigt84XX3yhc3u7du3Qp08f7Nq1C4sXL0ZsbKzeNqZNm4ZJkyap/5ybm4tGjRrB3d29wtMjG0OpVEImk5V6F4qek6+A7MLfIbrEwt1O/wQJpsRxMn8co+qB41Q9cJzMH8eoepB6nORyuUH1KrRSuy7W1tYIDAw0SVuqC/TSZtB6/PgxAMDJycnofuLj43Hp0iXExMQY3UZQUBB27dqFI0eOlFrP1tYWtra2WtstLCwkO6FlMpmk/VcrBTnAiZFA8ArI7Kt23RmOk/njGFUPHKfqgeNk/jhG1YOU42Ron5Ue2Z07d2BpaWnUvqoX2TMzM/U+g6aa6UvfS++GWLZsWYWn+lW9d5KVlWV0G2Tmip8ARyOANnMBxxZSR0NERERUI1T4DklRURFSUlKQnZ2N4uJirfL79+8b3XZQUBAsLCxQWFiIq1ev4oUXXtCqc+XKFQBA+/btjeojLS0Nu3btwueffw4bGxu99c6dOwelUom2bdvqLM/IyAAA1KtXz6g4yMwpi4Hjo4AWEwC3YKmjISIiIqoxjE5IioqKEBUVhVWrViEvL8+UMal5eHggNDQUBw8exIEDB7QSkuTkZKSnp8PBwQE9e/Y0qo/ly5fD0tKy1Kl+gWeza127dk29Lsrzzpw5AwAICQkxKg4yY0IApz8CvPsA3sb9zoiIiIhIN6MTkhkzZmDx4sWwtbVFmzZt4OTkBJmOdRgKCgpw/PhxowOcOXMmDh48iOXLl+P999+HldX/Ql60aBEAYMqUKerZtgAgKSkJERERaNWqFTZs2KCxT0klp/pVTR9cmuPHjyM5ORl+fn4a28+ePYudO3dCJpPh448/NuYwyZxd+Aqo6ws0jZA6EiIiIqIax+iEJCYmBv369cO6devg4OCgt15GRga8vY2fiSg0NBRz587FjBkzMGDAAMyePRt169ZFdHQ0Vq1ahd69e2PatGka+0RHR+Py5cu4fPkyoqKi9E7Da8hUvypWVlZ4+vQpwsPDMXv2bAQHB8POzg6///47pk+fDplMhsWLF6NTp05GHyuZoT9/AIrygNa6Z1gjIiIioooxOiF58OABZs2aVWoyAgAODg6YOXOmsd0AAKZPn462bdti0aJF6Nq1KwoLC9GiRQssXboUEyZM0HppfvDgwdi0aRMCAgJKXSV++fLlaN++PTp27FhmDN9//z169OiBHTt2YN68eUhPT4cQAl5eXggPD0dkZKTR77GQmbq5Hbh/Aujwb6kjISIiIqqxjE5I2rRpo3P62ufZ29tXOCEBgF69eqFXr14G1Q0NDUVmZmaZ9S5cuGBw/zY2NhgyZAiGDBli8D5Ujd39A7gWA7yyEZBxOkMiIiKiymL0ldacOXOwdOnSMutVZNpfIklk/xe4OA8IWQdYWEsdDREREVGNZvQdkm7dusHCwgKDBg1Cx44d4evrCxcXF60X2ysy7S9Rlcu7BiRNBF79GbCylzoaIiIiohrP6IREqVTi119/RVxcHLZv327KmIik8SQTOPEe0HENYOsqdTREREREtYLRCcm8efOwePFiyOVyvPTSS3B0dKyUaX+JqkRh3rNV2IOWAvaNpY6GiIiIqNYwOiGJjo7GgAEDsG7dOtjb63+0paLT/hJVuuIC4FgE8OLfgXovSh0NERERUa1i9Evtd+7cwcyZM0tNRgDTTPtLVGmEEjg5Gmg2CvDoLHU0RERERLWO0QlJy5YtYWNjU2Y9U037S2RyQgBnpgDunYGG/aSOhoiIiKhWMjoh+eKLL7Bo0aIy63HaXzJbl/8J2LgAzd+XOhIiIiKiWsvod0jq1asHS0tLvPzyy4iIiOC0v1S9pK4DHt989hI7EREREUnG6IQkLCwMMpkMQghMnTrVlDERVa5bu4GMfUDHtYCOmeGIiIiIqOoYnZAAQMeOHct8j4TT/pJZuXcc+GsF8OpmwIKPEhIRERFJrUIJyfbt2+Hh4VFqHU77S2Yj5zLw3y+AzlsAS1upoyEiIiIiVCAhee+991CnTp0y63HaXzILj9OBxAlApw2AtaPU0RARERHR/2f0LFtFRUX46KOPMHHixFLrcdpfklxBNnBsBBC8ErCrL3U0RERERFSC0QnJ2rVrERcXB0dH/mszmbGifODIW0DbfwAOzaWOhoiIiIieY/QjWxYWFtiwYQPCwsJMGA6RCSmLgGPvAC0nAy6BUkdDRERERDoYfYekfv36aNasmSljITIdIYBT44HGgwHPblJHQ0RERER6GJ2Q9OzZE7///nuZ9bhSO0niv58D9VoDPkOkjoSIiIiISmH0I1tz585Fnz594Obmhl69epVaVwhhbDdE5Ze8/Nn/+kVKGwcRERERlcnohGT69Onw9vZG37590bRpU/j7+8Pd3R2y51a+zs/P19pGVGmu/wzknAfar5A6EiIiIiIygNEJyY8//giZTAYhBFJTU5Gamqq3LhMSqhIZB4CbW4BOPwH8zRERERFVCxVaqX3JkiVwcnIqtc6DBw8wadKkinRDVLasJODyIqDzVsCiQj9rIiIiIqpCFbpyGzZsGDw8PEqtc+fOnTIXTySqkIdXgTNTgFc3A1Z2UkdDREREROVgdEKSkJAAV1fXMuu5u7sjLS3N2G6ISpd/Bzg5GghZB9i6SB0NEREREZWT0QnJK6+8YlA9CwsL+Pj4GNsNkX6FucCxCKDdd0CdhlJHQ0RERERGqPDD9k+ePMG6deuwd+9eXL9+HQDg4+ODnj174u2334ZcLq9wkERaip8CRyOANl8BTi2ljoaIiIiIjFShhOTcuXMYMGAArl+/rrHWSFJSEnbs2IH58+dj+/btaNOmTYUDJVJTFgPH3wWajwPcOkodDRERERFVgNEJyZ07d/Daa6/h7t27ePHFFxEcHIz69eury06ePIkLFy7gtddew9mzZ9VlRBUiBJA0EfB6DWjQW+poiIiIiKiCjE5I5s+fj+LiYuzfvx/dunXTWSc+Ph7Dhw/HwoULsWjRIqODJFK79DVQpxHQ7B2pIyEiIiIiE7Awdsdff/0VixYt0puMAED37t3xz3/+Ezt37jS2G6L/+evfwNP7QMtPpY6EiIiIiEzE6ITk5s2bCAsLK7NeWFgYbt68aWw3RM+k/wfIPAy0/QdXYSciIiKqQYxOSOzs7JCVlVVmvaysLNjZcbE6qoC7h4HUNUDwSkBm9E+WiIiIiMyQ0Vd3L7/8Mr755psy6y1atAht27Y1thuq7R5cAC58BYSsByxtpI6GiIiIiEzM6IRk9OjRWLduHfr27Yu9e/ciOztbXZaVlYW4uDj07NkTGzZswJgxY0wSLNUyj64Dpz8COsUA1nWljoaIiIiIKoHRs2wNHz4cu3btwoYNGxAXFwfg2arsAKBUKgEAQgi8+eabGDp0qAlCpVrlyb1na410iAbk7lJHQ0RERESVpEIP5MfExGD+/PlwcXGBEALFxcUoLi6GEAIuLi5YsGAB1q9fb5JA9+zZg/DwcLi4uMDe3h6BgYFYvny5OvkxVFhYGGQyWZmfevXq6dw/JycHn332GZo3bw65XA4vLy9EREQgOTnZBEdJAICiR8CxCCBwCVC3idTREBEREVElqtBK7TKZDJ999hkmTZqE06dP4/r16wAAHx8fBAUFwcqqQs2rLViwAFFRUejbty/2798PBwcHrF69GpGRkdi3bx+2bdtWrr5cXV3h5uamtzw5ORktW7bU2q5QKPDqq6/i7t27+PbbbxEWFoaUlBR8/PHHaNu2LXbv3m3QzGNUCmUhcPRtIGAa4NxG6miIiIiIqJKZJGOwsrJChw4d0KFDB1M0pyEhIQFRUVEICAjAtm3bYG1tDeBZkpKdnY1Vq1ZhwYIFmDFjhsFtfvjhh5g1a5bOsvj4eISHhyMyMlKr7J133kFqaipiY2Px5ptvAgCaNm2K3bt3IyAgAIMHD8Zff/0FJyen8h8oPVuF/eRYoGkEUD9U6miIiIiIqAoY/MjWl19+icePH1dmLDqpEofIyEh1MqIyefJkAMDChQuRn59vUHt+fn7w9vbWW/7tt9/C09MTgwcP1tiekJCA+Ph4eHt7Y9iwYRplzZo1w4ABA3Dv3j0sX77coDhIh7NRgGsHoNFAqSMhIiIioipicEIye/Zs5OXlVWYsWjIzM3Ho0CEA0LkivJ+fHxo2bIjc3Fz1i/Vl+eGHH/TO+pWamopff/0V48aN00p+Nm/eDODZOyiql/dL6t69OwBg06ZNBsVBz7m8GLCyB14YK3UkRERERFSFDH5kSwiBn3/+GY6OjkZ19M4775R7n8TERCiVSlhbW8PX11dnHX9/f6Snp+PUqVMYOLBi/7L+3XffwcrKCmPHal8UnzhxQt2fvjgA4OLFi8jPz+dikOWRFgvkXQXa8e4SERERUW1TrndIPvroI4PrymQyjT8bk5BcvXoVAODu7q7zrgQAeHl5adQ11qNHjxAdHY3BgwfD09NTbyy6ykrGoVQqkZaWhoCAAJ31nj59iqdPn6r/nJubq96vvDOGmYJSqYQQQpK+AQCKvZDd2gnRcf2zd0iEkCYOMyf5OFGZOEbVA8epeuA4mT+OUfUg9TgZ2q/BCYlMJoNCoYCHh0eZdZOTk/HGG2/g0qVLkMvl+P777w3tRoPqYr20uw116tQB8Gw63opYv349Hjx4oPNldkNiUcVRVixff/01Zs+erbU9MzMTT548KU/IJqFUKpGTkwMhhN6kr7JY556BfdpiPHhxFXDvfpX2Xd1IOU5kGI5R9cBxqh44TuaPY1Q9SD1ODx8+NKheuR7ZMsTmzZvx/vvvIy8vDz4+Pti6dSsCAwMN7UYyy5YtQ3BwcKXMFFbStGnTMGnSJPWfc3Nz0ahRI7i7uxv9OFxFKJVKyGSyUu9CVYrcZMguLoII3QwPG85KVhbJxokMxjGqHjhO1QPHyfxxjKoHqcdJLpcbVM/ghOTgwYNwcXHRW15UVITJkydj+fLlEEIgPDwcGzZsKHWfsqgu0EubQUs181dFptqNj4/HpUuXEBMTU2os9+/f1xtLyRnISovF1tYWtra2WtstLCwkO6FlMlnV9v/4NnB6AtApFjK5c9X0WQNU+ThRuXGMqgeOU/XAcTJ/HKPqQcpxMrRPgyMLDQ3Vu/jgrVu30KVLF/WUt9OnT8eePXsqlIwAUL/InpmZqfcZNIVCoVHXGMuWLdM51a+uWDIyMkqNw8LCAk2aNDE6lhqv4AFw7B2g/Q+AnZfU0RARERGRxCqcKu3fvx9t27bF8ePH4eDggG3btmHOnDlaL7UbIygoCBYWFigsLNT70vqVK1cAAO3btzeqj7S0NOzatQtjx46FjY2N3nrBwcEa/emLo1WrVhrvk1AJxU+Ao28BL88HHF+QOhoiIiIiMgMVSki+/PJL9O7dG/fu3UNAQABOnjyJfv36mSo2eHh4IDT02YrdBw4c0CpPTk5Geno6HBwc0LNnT6P6WL58OSwtLXVO9VuS6u7JoUOHdN6tiY+P16hHz1EWA8dGAn6fAK7tpI6GiIiIiMyEUQlJVlYWevXqhdmzZ6O4uBiDBw/GiRMn0KJFC1PHh5kzZwJ4ljgUFRVplC1atAgAMGXKFI27EklJSQgICMDgwYO19imp5FS/qml79enSpQv+9re/4fbt21qLH6ampmL79u1wdXXVO0tXrSYEkPgh0LAf4BUudTREREREZEbKnZCcPHkSgYGB2LdvHywsLPDPf/4TmzZtgr29fWXEh9DQUMydOxcXL17EgAEDkJSUhJSUFERFRWHVqlXo3bs3pk2bprFPdHQ0Ll++jC1btuDcuXN62y5rqt/nxcTEoEmTJhgzZgzWrFmDtLQ07Nu3D71794ZMJsPPP/+MevXqVeRwa6bzswFHf6DJcKkjISIiIiIzU66EZPny5ejSpQtu3LgBNzc37N+/X2MKW13u3buHZs2aVSjI6dOnY/fu3cjPz0fXrl3Rtm1b7N27F0uXLsV//vMfrZftBw8eDDc3N3Tp0gWtWrUq9Xjat2+Pjh07GhSHt7c3zpw5g7Fjx2LOnDnw9/fHO++8g8DAQCQlJaFr164VOs4a6c9/AcongP/HUkdCRERERGZIJgxcYGT48OH4+eefIYRAx44dsWXLFnh7e5e53507d+Dt7Y3i4uIKB1sT5ebmwsnJCTk5OZKtQ3L37l14eHiYfjq4G1uA23FAh38DJpjkoDar1HEik+AYVQ8cp+qB42T+OEbVg9TjZOh1rsHrkKjem7C2tkazZs3w97//3aD9SltDhGqwO4eA6xuBVzYwGSEiIiIivQxOSAAgJCQENjY2uHXrlsH7FBQUlDsoquayzwKXFgCdtwIW1lJHQ0RERERmzOCERCaTYfv27fDw8ChXBxkZGWjQoEG5A6NqKi8VSJoMvPozYMX1WIiIiIiodAYnJI0bN4alpWX5O7CyQuPGjcu9H1VDT+4CJ94HOq4FbF2ljoaIiIiIqgGDE5K0tDSjOnBzczN6X6pGCh8CRyOAoGWAfSOpoyEiIiKiaoLTIlDFFRcAx94GWs8C6umfZpmIiIiI6HlMSKhihPLZY1rN3gPcO0kdDRERERFVM0xIyHhCPHuBvf7fgIavSx0NEREREVVDTEjIeJcXAnIPwHeU1JEQERERUTXFhISMc3UNkK8AAqKkjoSIiIiIqrFyLYxIBAC4tQu48xsQsparsBMRERFRhTAhofLJPAr8terZwocy3mAjIiIioophQkKGy7kEnJ8FdN4KWNpKHQ0RERER1QBMSMgwj24CiR8Cr2wErB2kjoaIiIiIagg+c0Nle5oFHB8JdPj3s1m1iIiIiIhMhAkJla7oMXA0AghcBNRtJnU0RERERFTDMCEh/ZRFwLF3gIApgPPLUkdDRERERDUQExLSTQjg1AeAz9BnK7ETEREREVUCJiSk27kZgHNboPFgqSMhIiIiohqMCQlpu7IUsLACWoyXOhIiIiIiquE47S9purYRyL0MtP+X1JEQERERUS3AhIT+R7EfSN8OdIoFZDKpoyEiIiKiWoAJCT2TlQgkfwO8uuXZ41pERERERFWAV54Ey8epkKV9AXTeAljZSR0OEREREdUifKm9tsvPgOOVzyA6/gjY1JM6GiIiIiKqZZiQ1HZZicj1mw/YeUsdCRERERHVQnxkq7Zr0BfFd+9KHQURERER1VK8Q0JERERERJJhQkJERERERJJhQkJERERERJJhQkJERERERJJhQkJERERERJJhQkJERERERJJhQkJERERERJJhQkJERERERJJhQkJERERERJKpNgnJnj17EB4eDhcXF9jb2yMwMBDLly+HUqk0us1du3ahf//+8PLygq2tLTw9PdGpUydMnToVCoVCq36TJk0gk8n0fvr371+BIyQiIiIiqn2qRUKyYMEC9OrVC3K5HPv378eZM2cQHh6OyMhI9O/fH0VFReVqr7i4GCNGjEBERAQ6deqE/fv3Izk5GdHR0cjLy8PChQtx8eJFnfs2atQIfn5+Oj8NGzY0xeESEREREdUaVlIHUJaEhARERUUhICAA27Ztg7W1NYBnSUp2djZWrVqFBQsWYMaMGQa3GRUVhdjYWBw9ehTBwcHq7U2aNIGfnx9effVV2Nra6tx33bp1CAsLq9AxERERERHRM2Z/h2TWrFkAgMjISHUyojJ58mQAwMKFC5Gfn29Qe8nJyViyZAmGDBmikYyo+Pr6QqFQoHPnzhULnIiIiIiIymTWCUlmZiYOHToEAOjWrZtWueoxqdzcXMTFxRnU5urVq1FcXIxevXqZMlQiIiIiIjKCWSckiYmJUCqVsLa2hq+vr846/v7+AIBTp04Z1Ob+/fsBAM2bN0dsbCzCwsJQv359eHl5oXv37oiJiYEQQu/+f/zxB/r374/mzZvD1dUVAQEBGDt2rN53ToiIiIiISD+zfofk6tWrAAB3d3dYWOjOnby8vDTqlqa4uFidOERFRSE1NRVff/01AgMDkZ6ejtmzZ+Ptt99GXFwcYmJiIJPJtNpYsmQJoqKi8Pnnn8Pa2hoJCQmYNWsW1qxZgx9++AGjRo0qNYanT5/i6dOn6j/n5OQAAB48eFChGcOMpVQqkZubCxsbG73fMUmP42T+OEbVA8epeuA4mT+OUfUg9Tjl5uYCQKn/2K+qYLbmzp0rAAhfX1+9dcaOHSsAiB49epTZ3v379wUA9ScpKUmj/NGjR6Jp06YCgPjhhx+09p89e7a4cOGC1vZTp04JmUwmLC0tRWJiYqkxzJw5UyMGfvjhhx9++OGHH374qcmfmzdvlnp9bNZ3SEzt8ePH6v/u3Lkz2rZtq1Fep04djB49GtOnT8eyZcswZswYjfIvvvhCZ7vt2rVDnz59sGvXLixevBixsbF6Y5g2bRomTZqk/rNSqURWVhZcXV113pGpbLm5uWjUqBFu3rwJR0fHKu+fDMNxMn8co+qB41Q9cJzMH8eoepB6nIQQePjwIby9vUutZ9YJieqLK20GLVWS4eTkVGZ7dnZ26v8OCAjQWScoKAgAcPHiRTx+/Bh16tQxKNagoCDs2rULR44cKbWera2t1pTC9erVM6iPyuTo6Mi/UKoBjpP54xhVDxyn6oHjZP44RtWDlONkyDW6WT/0p3qRPTMzU+/7FaoV1fW99F5SvXr1IJfLAQAuLi466zg4OAB4ltE9ePDA4Fg9PT0BAFlZWQbvQ0RERERU25l1QhIUFAQLCwsUFhbqfWn9ypUrAID27duX2Z6lpSXatGkDALhz547OOqrtMplM487FuXPncObMGb1tZ2RkADCPux1ERERERNWFWSckHh4eCA0NBQAcOHBAqzw5ORnp6elwcHBAz549DWqzf//+AJ4lGLqoZuF66aWXNB7XWrJkCSZOnKi3XVWyEhISYlAc5sLW1hYzZ87UuzI9mQeOk/njGFUPHKfqgeNk/jhG1UN1GSeZEGXNwyWt33//HWFhYWjVqhXOnj0LK6v/vfYyZswYrFq1Cl9++SU+//xz9fakpCRERESgVatW2LBhg8Y+WVlZaNGiBe7fv4+jR49qJBBPnz5F8+bNkZ6ejvXr1yMiIkJdNnLkSGzcuBHnzp2Dn5+fRoxnz55FYGAgAODw4cPo1KmTyb8HIiIiIqKayKzvkABAaGgo5s6di4sXL2LAgAFISkpCSkoKoqKisGrVKvTu3RvTpk3T2Cc6OhqXL1/Gli1btO6EuLi4YNOmTZDL5Rg0aBA2b96MGzdu4OjRo+jTpw/S09Px0UcfaSQjAGBlZYWnT58iPDwca9aswcWLF5Gamoo1a9agV69ekMlkWLJkCZMRIiIiIqJyMPs7JCpxcXFYtGgREhMTUVhYiBYtWmDUqFGYMGECLC0tNer+/vvvGDRoEAICArB37171i+wlpaSkYN68eYiPj8fdu3fh4OCA4OBgjB8/Hq+//rpW/YKCAuzYsQM7duzAqVOnkJ6eDiEEvLy80LlzZ0RGRhr0HgsREREREf1PtUlIiIiIiIio5jH7R7aIiKRy9OhR+Pn5QSaT4dq1a1KHQ3pwnIiIqjcmJDXMnj17EB4eDhcXF9jb2yMwMBDLly/Xu45LWRQKBcaNG4fGjRvD1tYWjRs3xrhx43D79m0TR157mHKMZDJZqZ9PPvnE9AdQC+Tn52Py5Mno0qULUlJSTNJmcnIyIiIi4OXlBblcDl9fX0yZMgU5OTkmab82MuU4Xbt2rczz6ZtvvjFN4LXEjRs38NVXX+GVV16Bs7MzrK2tUb9+ffTu3Rtbtmwxul2eS6Zl6nHiuVQ5MjIysHr1agwcOBA+Pj6wtbWFnZ0dWrRogbFjxxr9d6DZXOcJqjHmz58vAIi+ffuKxMREkZycLD777DMBQLz++uuisLCwXO1dvHhRuLq6Ck9PT7FlyxaRmpoqtmzZIurXry9cXV3FxYsXK+lIai5TjxEA0axZM+Hn56fzM2/evEo6kprrr7/+Ei1atBA+Pj5i3759AoAAINLS0oxu8+DBg8LOzk74+fmJPXv2iNTUVBEdHS3q1q0rmjVrJm7fvm26A6glTD1OaWlpAoDec8nPz0+sXbvWtAdRgx06dEhYWVkJW1tb8fe//12cOnVK/Pnnn2Lz5s3ihRdeEADE8OHDRXFxcbna5blkWpUxTjyXKkdQUJAAIEaMGCEOHz4srl27Jk6dOiUmTpwoAIg6deqIhISEcrVpTtd5TEhqiD/++EMAEAEBAaKgoECjbPTo0QKAmDNnjsHtFRYWCn9/fwFAHDlyRKPs8OHDAoBo2bJluS+gazNTj5EQosIXyqTtl19+ER988IF4+PChEEJU+EI3OztbuLm5CblcLq5evapRFhsbKwCI7t27VzTsWsfU46S6iCLT2L59uwAgvv32W62yW7duCQcHBwFArFy50uA2eS6ZXmWME8+lyhEUFCT69Omjs2zEiBECgOjWrZvB7ZnbdR5/MTVE165dBQDxr3/9S6vsypUrAoBwdHQUjx8/Nqi9devWCQCiQ4cOOss7duwoAIiYmJgKxV2bmHqMhGBCUhmKioo0/lzRC90vv/xSABBDhw7VKisuLhbe3t4CgDh8+LBR7ddWph4nXkSZ1vbt24WlpaXIycnRWf7mm2+WO4HguWR6lTFOPJcqx969e8Xly5d1ln377bcCgGjdurXB7ZnbdR7fIakBMjMzcejQIQBAt27dtMr9/PzQsGFD5ObmIi4uzqA2N2/erLc9AOjevTsAYNOmTUZEXPtUxhhR5Xh+GvGKKu1csrCwQNeuXQHwXCovU48TmVafPn2QlZUFR0dHneUNGzYE8GyxYkPxXDK9yhgnqhw9evSAv7+/zrLjx48DAMLDww1uz9yu85iQ1ACJiYlQKpWwtraGr6+vzjqqH/GpU6cMavPEiRMa+1W0vdquMsZI5ZdffsFrr72GJk2awM3NDS+99BImTZqE69evVzhuqphHjx7h4sWLAHguVRdr1qxBaGgoGjVqBA8PD7Rv3x5ffPEFMjMzpQ6tWrG2ttZ7kQs8e5EWAFq3bm1QezyXKoepx6kknkuVq7CwECkpKZg4cSJ++uknDBw4EHPmzDF4f3O7zmNCUgNcvXoVAODu7g4LC91D6uXlpVG3NHl5ebh79y4AwNPTs9T2MjIy8Pjx43LHXNuYeoxKWrhwIfr164dffvkF+/btw7Bhw7By5Uq8+OKLvNsisbS0NPXsaWWdS+Udd6ocCxYswPvvv4/du3dj586d6NatG+bNm4fWrVvj9OnTUodXIxQVFWH//v0AgAkTJhi0D8+lqmfMOJXEc6nyDB8+HLa2tvDz88POnTuxY8cObN26FXZ2dgbtb47XeVaV3gNVutzcXAAo9YdYp04dADBoWkRVe6W1qWpP1WbJP5M2U4+RysSJEzF58mQ0aNBAvS0wMBB+fn544403MGTIEFy5ckWjnKpOec4lTlkqLUdHR3z22WeYMWOGxr8Yd+jQAR4eHpg8eTL69euHlJQU/n1XQdHR0cjIyMAHH3yA9u3bG7QPz6WqZ8w4ATyXqsKSJUswc+ZM3LhxAzExMejfvz8GDx6MlStXol69emXub47XebxDQlSNLV68WGeyMXDgQLRu3Rp5eXn4/vvvJYiMqHpxcXHBggULdD6+Mn78eLi5ueHWrVuIjY2VILqa46+//sKnn36KkJAQLF68WOpwSI+KjBPPpcrn6ekJf39/9OjRA+vWrcOkSZOwefNmhIeHo7i4WOrwjMKEpAZQnfT5+fl666hutzk5ORncXmltlrx9Z0ibtZ2px8gQgYGBAIAjR46YpD0qv/KcSzyPzJdcLkerVq0A8HyqCIVCgR49eqB58+aIi4uDXC43eF+eS1WnIuNUFp5LlWPWrFmwsbFBYmIidu7cWWZ9c7zOY0JSA6heks7MzNS72rfqxTR9L1SXVLduXXh4eAB49uxgae15enrylqsBTD1GhlA9F8rZUaTTtGlTyGQyAGWfS6Yad6ocPJ8q5vbt2+jWrRs8PDxw4MCBcl/g8FyqGhUdJ0PwXDI9BwcHNGnSBABw7NixMuub43UeE5IaICgoCBYWFigsLNT7Mt+VK1cAwODnQIODgzX2q2h7tV1ljNGxY8eQnJyst1z1l4whz5NS5bC3t1f/ayDPJfP222+/4caNG3rLeT4Z7/r16+jSpQs8PDwQHx8PZ2fncrfBc6nymWKcAJ5LleH27dtYsWJFqY9j2dvbAwAKCgoMatPcrvOYkNQAHh4eCA0NBQAcOHBAqzw5ORnp6elwcHBAz549DWpz8ODBetsDgPj4eI16VLrKGKNp06bh66+/1lt+5swZAEBISIgREZOplHYuKZVK/Pbbbxr1SBrvvvsuoqOjdZY9ffoUly5dAsDzqbz+/PNPdO7cGb6+voiLi0PdunXVZf/9738N/vsO4LlUmUw5TjyXTC8lJQUffPCB3n/QVE0BDADNmzc3qE2zu86rkuUXqdIdOnRIABCtWrUShYWFGmWjR48WAMSXX36psf306dOiZcuWYtCgQVr7FBQUiBYtWggA4siRIxplR44cEQCEn5+f1n6kn6nHKDQ0VLi5uYnMzEytvnbs2CEACFtbW5Gammr6g6lFYMAK4HFxccLX11dMmDBBqywrK0u4uroKuVyuNRaxsbECgOjataupw651KjpOPj4+wt/fXzx58kSr7JtvvhEAhJubm94VrUnbhQsXhKenp+jXr5/O7/XgwYNaK3rzXKp6ph4nnkumpxqDiRMn6iyfN2+eACDs7e2FQqFQb69O13lMSGqQuXPnCgCib9++4vTp0yI5OVlMnTpVABC9e/fW+lFNmDBB/X/iiYmJWu2dP39euLi4CE9PT7F161aRlpYmtm7dKjw9PYWLi4s4f/58VR1ajWHKMerWrZsAIAICAsSmTZtEcnKySE5OFt98841wcHAQcrlc/Pzzz1V5eDXG3bt3hUKhEAqFQv39nzx5Ur3teX369FHXu3fvnlb5gQMHhFwuF35+fmLv3r0iNTVVREdHi7p164omTZqIW7duVcVh1TimHCdfX18BQISEhIidO3eKv/76S1y4cEHMmjVLWFtbi3r16ok//vijqg6t2jt//rxwc3MTAMRLL70kgoKCtD6qi6GSeC5VrcoYJ55LppeQkCAACJlMJkaMGCEOHTokUlNTRUJCgvjggw+ETCYTtra2YvPmzRr7VafrPCYkNczu3btFt27dhJOTk6hTp454+eWXxdKlS0VRUZFW3UOHDgk3NzfRpUsXkZ+fr7O99PR0MXr0aNGwYUNhY2MjGjZsKEaPHi3S09Mr+1BqLFON0cOHD0V0dLQYMGCA8PHxETY2NkIul4sXXnhBjBs3Tly5cqWqDqnG8fHxUf8lruvzvA0bNghHR0cxePBgvW1evnxZDB8+XNSvX1/Y2NiIpk2bikmTJons7OxKPJKazZTjdO/ePbFs2TLRq1cv4e3tLaytrUWdOnXEiy++KCZPnsy/88ppyZIlpY6NvnHiuVS1KmOceC5VjtOnT4tPP/1UBAcHC2dnZ2FpaSnq1KkjWrVqJSIjI0VKSorWPtXpOk8mhBDlesaLiIiIiIjIRPhSOxERERERSYYJCRERERERSYYJCRERERERSYYJCRERERERSYYJCRERERERSYYJCRERERERSYYJCRERERERSYYJCRERERERSYYJCRERERERSYYJCRERERERSYYJCRGRmZszZw5kMpn68+OPP0oSx5MnTzTiaNKkiUnanTVrllkcHxERSYMJCRFRBWRlZWHWrFlo3749nJycYGNjAy8vLwQGBuLtt9/GDz/8gCtXrlSoj4kTJ0KhUGDIkCEmito4crkcCoUCJ0+eNGm7n376aZnHN3fuXLi4uOC3334zad+mdO3aNY3EquTn0KFDGnWfT8JMneQZKj4+Hi4uLvj666+rtF8iopKYkBARGenSpUto1aoVFi9ejNdffx3x8fG4evUqfvvtN3zyySdITEzEuHHjMGjQoAr1Y29vD09PT9jZ2ZkocuN5enrC3d3dpG3WrVu3zOP76aefkJ2djW3btpm0b1Nq1KiRVsJ28uRJKBQKdOrUSaOuKgmbPHkyACAkJAQKhQKnTp2q0pi3b9+O7OxsxMbGVmm/REQlWUkdABFRdTV69GhkZGRg48aNGDp0qEZZy5Yt0aNHD7Rt21ai6GqWKVOmYMWKFRg1apTUoehlaWkJT09PPHnyRL3N3d0dnp6eWnXr1q2r/gCAjY2NznqV7d1338Xp06cxduzYKu+biEiFCQkRkRFycnJw9OhRAECvXr101vH09MTQoUMRHx9flaHVSCNHjsTIkSOlDqPGCQoKwvHjx6UOg4hqOT6yRURkBKVSqf7vW7du6a33+eefY+vWrTrLHj9+jHnz5uHll1+Gvb097Ozs4O/vj1GjRmH37t0afTzv8OHD+Nvf/gYHBwc4Ojqib9++SE5O1lv/2rVrGDNmDHx8fGBjYwN3d3f07t0be/fu1bvPuXPn0K9fPzg7O8Pe3h7t2rXD2rVr9dZ3c3PT+y7EyJEjNd6VuHbtmt52Sjp06JDGfiWTksOHD2uVpaen480334Sbmxvs7OzQrl077N69u9TvJSIiAh4eHpDL5WjRogU+//xzPH78WNJ3O0rKysrCtGnTEBAQADs7Ozg5OeGVV17Bv//9bxQXF2vUff/997XeXYmLi0NoaCicnJw0tpd2fPrecSn58fDw0Io1PT0dH374IXx9fSGXy+Hi4oLu3bvrPAe6d++u9ZtYvXo12rRpA7lcjvr162Ps2LF4+PChSb9PIjJDgoiIjOLt7S0AiNDQUJGRkVGufe/cuSPatGkjrK2txbx580RycrK4ePGi+Pbbb4Wjo6MAIHbs2KGxz4gRIwQAMWrUKPHaa6+JEydOiOTkZLFw4UJhaWkpGjRoIB4+fKjVV0JCgnBychLu7u4iJiZGpKSkiP3794uOHTsKAGL+/Pla+xw8eFDY2dkJZ2dnsWbNGpGWliZOnTolBg8eLN577z0BQPj4+Ggd08mTJ3WWPXjwQCgUCtGwYUMBQKSlpWn1qTq+NWvWqLc9ffpUKBQK8c033wgAYsSIEeqygoICjbI+ffqIV155RezatUukpqaKzZs3CxcXF2FpaSlOnTql1d/FixeFq6ursLW1FUuWLBFXr14V//3vf8X48eNFWFiYACAACIVCIe7evas9iHqkpaWp99V1nCXNnDlT/RvSJSUlRTRu3FjUrVtXfPfdd+Lq1avi3LlzYvz48QKA6N27t3j69Km6fk5OjlAoFCIkJEQAEOPGjRNdu3YVCQkJIjU1VXz11VcCgDh48KBQKBR6x2vmzJliyJAhQqFQaHySk5OFp6enzt/N0aNHhbOzs6hfv76IjY0VaWlp4uTJk2LQoEECgBg9erRG/aysLI3fxJgxY8RHH30kLl26JM6cOSMiIiIEANGvXz9Dv3oiqqaYkBARGWnFihXqC087Ozvx1ltvia1bt4rc3Nwy9+3Vq5cAIBYuXKhV9tNPPwkAYvv27RrbVRfszs7OIi8vT6Ns4MCBAoBYv369xvbs7GxRv359AUAcO3ZMoyw/P194eXkJCwsLcfLkSfX2x48fiwYNGggA4pdfftHYp7i4WLRt21bnRawQ/7sY11UmhBA+Pj7lSkhU1qxZo5WQPF8GQBw5ckSjbOnSpQKAeO+997T2CwwMFADE0qVLtcr69eunbrO8TJWQFBUVidatWwsAYsOGDVrlb731lgAgpkyZolUWGhoqAIgGDRqI/Px8jbIWLVqovyd94zVz5kyd3/Xw4cMFANG9e3ehVCrV2x88eCC8vLwEAHH06FGNfYqLi0Xnzp0FAPHdd99ptan6TYSHh2tsLywsFO7u7gKAuHHjhtZ+RFRz8JEtIiIjjR07Ft999x1cXFyQn5+P2NhYvPHGG3B1dUXXrl3x/fffIzc3V2u/pKQkxMXFwdraGuPGjdMqHzRoELy9vWFtba2z3yFDhsDe3l5jW4cOHQAAZ8+e1di+evVq3LlzByEhIejYsaNGmVwux8iRI6FUKvH999+rt2/ZsgW3bt1CgwYN8H//938a+1hYWGDChAn6vxQJ+fn5ac1mpe97SUhIQFJSEmxsbPDee+9ptRUZGWmSmFq1aqXxAvvzn3nz5und95dffsH58+fV7yI9b+LEiQCAZcuWITs7W2cbo0ePhlwu19iWnJys9T09b8yYMZg1a5bGtjVr1mDDhg1wd3fH+vXrIZPJ1GWrV6+GQqFAcHAwQkJCNPazsLDAxx9/DODZmjr6HkV89913Nf5sZWWFoKAgAM8eHySimosJCRFRBYwfPx43b95ETEwMBg0ahHr16qGwsBAHDx7EhAkT4Ovri507d2rss2/fPgCAv78/HBwctNq0trbGrVu30KdPH519Nm/eXGubi4sLAGhdmKr6ateunc62mjVrBgA4cuSIetvvv/8OAOqLwee1bNlS53apled7UR2jv7+/VnIHmO4Yd+/ejbNnz+r96EpIVUqOXcmLf5WXX34ZNjY2ePLkCf744w+dbRh7HN7e3hrvlaSkpCAyMlK9cOXzM4KpYg0ODtbZnmq7QqHA+fPnddYpz/gRUc3CWbaIiCqoTp06eOutt/DWW2+huLgYR44cwcaNG7F27Vrcu3cPw4YNw6VLl+Dj4wMAuH79OgAYvZ6Hq6ur1jYrq2d/nT//kvONGzcAAD/88AOio6O19lPVL/lifnp6eqnxSTE9rSF0fS+qu0zPfy9VdYw+Pj6lvhCvuuDWRfU70fXyOPBsmmFXV1coFAp13eeZYs2YgoICDBs2DI8ePcInn3yC3r17lzvW+vXra9R96aWXtOqUZ/yIqGZhQkJEZEKWlpbo0qULunTpgk8//RTt2rVDdnY2NmzYgKioKJP0oetfy8syYcIEjB8/vlxtCiHK3U9ZKqNNFWO+l8qMxxwY850877PPPsOZM2fQtm1bLFiwwARR6WaKWImoeuIjW0RERpo3bx5OnDiht7xZs2YYNmwYAGhMc6u6U5KZmVmp8ZXsSwiB5s2b6/34+vqq92nYsGGp8WVkZOjtz9LSEoD+f9G+d++eUcdhahU5xqqiGrs7d+7oLC8uLsb9+/c16prar7/+iqVLl8Le3h4bN26EjY2NUbGW3F5ZsRJR9cWEhIjISCtXrix1jQsA6heKSz4606NHDwDAlStXdK6xkJ+fj549e2LlypUVjlHV18mTJ3WWCyEQHh6OTz/9VL0tNDQUAHD69Gmd+1y+fFlvf05OTgB0P/OvUCjw+PFjwwKvZKpjTE5ORl5enlZ5acdYVVRjd+rUKZ0vgp89exYFBQWQy+Xo0qWLyfu/ffu2et2XZcuWoUWLFhrlP/74o/q7U8WqL0FX/f68vLzQunVrk8dKRNUbExIiogpYt24dcnJydJbl5eVh+/btkMlkGDBggHp7YGAgevXqhcLCQqxYsUJrvx9//BF79+5F27ZtKxzfe++9B09PTxw7dky9snxJsbGxiI+PR1hYmHrboEGD0KBBA9y+fRv/+c9/NOorlUp89913evtzdHRE06ZN8ejRI1y5ckWjTNc7LFLp3LkzAgMDUVBQoDOuZcuWSRCVpn79+uHFF1/E3bt3sWHDBq3yJUuWAAA+/PBDODs7m7RvpVKJt99+W/0O1KhRo7TqjBo1Sn3HS/U7S0xMxOHDh7XaWrp0KQBgxowZsLDgpQcRaeLfCkRERlKtLt2xY0esWbMGly5dQnp6OpKSkrBy5Uq0a9cO165dw6xZsxAYGKix748//ojWrVtjxowZWLBgAf78809cunQJ//jHPzBp0iRMnToV7du3B/DsjklGRgby8/MBADk5OcjIyEBxcTGKi4uRkZGhToqer+vk5IRt27bByckJ/fr1w+rVq5GamooLFy5g3rx5GD16NCIjI9G3b191bHZ2doiJiYGdnR1GjhyJtWvX4vr16zh9+jSGDRsGR0dHAFD3nZWVpXFsqndVRo4ciSNHjuDatWv417/+haSkJDRu3BjAs0elVI9F5eXl6Ty+/Px8FBQU6Dy+vLy8Mo89MzNT/UjW83UBYP369XB1dcXUqVOxdOlS9ffy4YcflvqyuT6qPko+BqY6zoKCAo26qmNW3WFQHWfJfS0tLbF161Y0atRIPcV0amoqzp8/jwkTJiA2Nha9e/fG3LlztdpV9ZeVlaV13Col+3t+LOfPn4/ffvsNzs7OiIyMxIULF7Q+Jal+Z87OznjjjTcQGxuL69evIzExEcOGDUNCQgLef/99jSmjS/6OVd+VKp7SfvNEVANJugoKEVE1dvv2bbFixQoxfPhw0apVK+Ho6CgsLCxEnTp1RIsWLcQ777wjDh8+rHf/vLw8MWfOHNG6dWthZ2cnXFxcRKdOncTGjRs1Fp0rufBfyU9aWprGInwlP88vLnjjxg0xfvx40aRJE2FjYyM8PT1FWFiY2Lx5s0ZfJZ09e1a8/vrrwsnJScjlchEQECDmz58vUlJSNPrq0KGDxn5KpVIsWLBANGvWTFhbW4uGDRuKqVOniidPnqgXwVN9CgsL1YsD6jqGgwcP6iybOXNmmcf+fF/QsbBiamqqePPNN9Urtvv7+4uFCxeKwsJCAUDIZDKDfw/64sH/Xxm9JH3HrGtByfv374uoqCjh5+cnbG1thYODgwgJCRErV64URUVFBrWra5FDXfVUCzQ2adJE77E8/xss6caNG2LChAmiadOmwsbGRtSrV0907dpVbN68Wat/1UKYuo6/tN88EdU8MiFq+BQjRERE5fTw4UM4OjrC2dlZ6w4QERGZFh/ZIiKiWunw4cPYs2ePzrJLly4BgM71MoiIyLSYkBARUa0UHx+Pjz/+GIWFhVplqhnOdL3MTUREpsWEhIiIaq2UlBQMHDgQCQkJuHHjBpKSkjBhwgRER0dj2LBhePvtt6UOkYioxuM7JEREVCvduHEDMTEx2L17N65du4bMzEzI5XK0adMGo0aNwqhRo7h6OBFRFWBCQkREREREkuEjW0REREREJBkmJEREREREJBkmJEREREREJBkmJEREREREJBkmJEREREREJBkmJEREREREJBkmJEREREREJBkmJEREREREJJn/B+MwMznneJUhAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(\n", - " scenario=case, location=place, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/cf_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.revenue_factor(\n", - " scenario=case, location=place, resource=Power, fig_size=(9, 5), color='orange')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=case, location=place, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![WF capacity factor](plots/cf_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.demand_factor(\n", - " scenario=case, location=place, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Power demand factor](plots/df_power.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Formulate LP**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be formulated using different constraints and objectives.\n", - "\n", - "milp is a pyomo instance, additional constraints can be provided in a bespoke manner" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint resource revenue\n", - "constraint location revenue\n", - "constraint network revenue\n", - "objective profit\n" - ] - } - ], - "source": [ - "# lp = formulate(scenario=case, constraints={Constraints.COST, Constraints.INVENTORY,\n", - "# Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.COST)\n", - "lp = formulate(scenario=case, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.PROFIT)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Solve**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To solve the model, the solve requires a scenario and a modeling instance to be provided. \n", - "\n", - "Also a solver needs to be chosen." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 126 rows, 110 columns and 281 nonzeros\n", - "Model fingerprint: 0x90016b5e\n", - "Coefficient statistics:\n", - " Matrix range [6e-01, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e+02, 1e+02]\n", - "Presolve removed 116 rows and 96 columns\n", - "Presolve time: 0.01s\n", - "Presolved: 10 rows, 14 columns, 29 nonzeros\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 4.4978970e+08 3.759899e+01 0.000000e+00 0s\n", - " 10 2.1584107e+08 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 10 iterations and 0.01 seconds (0.00 work units)\n", - "Optimal objective 2.158410741e+08\n" - ] - } - ], - "source": [ - "results = solve(scenario=case, instance=lp, solver='gurobi', name='LP')\n", - "# results = solve(scenario=case, instance=lp, solver='BARON', interface= 'gams', name='LP')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be summarized as shown below:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_resource_revenue : revenue of resource\n", - " Size=4, Index=constraint_resource_revenue_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Power', 0, 0) : 0.0 : R[place,Power,0,0] - 666666.6666666667*S[place,Power,0,0] : 0.0 : True\n", - " ('place', 'Power', 0, 1) : 0.0 : R[place,Power,0,1] - 750000.0000000001*S[place,Power,0,1] : 0.0 : True\n", - " ('place', 'Power', 0, 2) : 0.0 : R[place,Power,0,2] - 783333.3333333333*S[place,Power,0,2] : 0.0 : True\n", - " ('place', 'Power', 0, 3) : 0.0 : R[place,Power,0,3] - 800000.0*S[place,Power,0,3] : 0.0 : True\n" - ] - } - ], - "source": [ - "lp.constraint_resource_revenue.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'termination': 'optimal',\n", - " 'LB': 215841074.07407403,\n", - " 'UB': 215841074.07407403,\n", - " 'n_cons': 126,\n", - " 'n_vars': 110,\n", - " 'n_binvars': 0,\n", - " 'n_intvars': 0,\n", - " 'n_convars': 110,\n", - " 'n_nonzero': 281,\n", - " 'P': {('place', 'PV', 0, 0): 66.66666666666666,\n", - " ('place', 'PV', 0, 1): 88.8888888888889,\n", - " ('place', 'PV', 0, 2): 100.0,\n", - " ('place', 'PV', 0, 3): 77.77777777777777,\n", - " ('place', 'WF', 0, 0): 100.0,\n", - " ('place', 'WF', 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 3): 77.77777777777777,\n", - " ('place', 'LiI_discharge', 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 2): 0.0,\n", - " ('place', 'LiI_discharge', 0, 3): 0.0,\n", - " ('place', 'LiI', 0, 0): 0.0,\n", - " ('place', 'LiI', 0, 1): 0.0,\n", - " ('place', 'LiI', 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 3): 0.0},\n", - " 'B': {('place', 'Solar', 0, 0): 0.0,\n", - " ('place', 'Solar', 0, 1): 0.0,\n", - " ('place', 'Solar', 0, 2): 0.0,\n", - " ('place', 'Solar', 0, 3): 0.0,\n", - " ('place', 'Wind', 0, 0): 0.0,\n", - " ('place', 'Wind', 0, 1): 0.0,\n", - " ('place', 'Wind', 0, 2): 0.0,\n", - " ('place', 'Wind', 0, 3): 0.0},\n", - " 'C': {('place', 'Solar', 0, 0): 66.66666666666666,\n", - " ('place', 'Solar', 0, 1): 88.8888888888889,\n", - " ('place', 'Solar', 0, 2): 100.0,\n", - " ('place', 'Solar', 0, 3): 77.77777777777777,\n", - " ('place', 'Wind', 0, 0): 100.0,\n", - " ('place', 'Wind', 0, 1): 88.8888888888889,\n", - " ('place', 'Wind', 0, 2): 55.55555555555556,\n", - " ('place', 'Wind', 0, 3): 77.77777777777777},\n", - " 'S': {('place', 'Power', 0, 0): 166.66666666666666,\n", - " ('place', 'Power', 0, 1): 177.7777777777778,\n", - " ('place', 'Power', 0, 2): 155.55555555555554,\n", - " ('place', 'Power', 0, 3): 155.55555555555554},\n", - " 'R': {('place', 'Power', 0, 0): 111111111.11111112,\n", - " ('place', 'Power', 0, 1): 133333333.33333337,\n", - " ('place', 'Power', 0, 2): 121851851.85185184,\n", - " ('place', 'Power', 0, 3): 124444444.44444443},\n", - " 'Inv': {('place', 'LiI_Power_stored', 0, 0): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 1): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 2): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 3): 0.0},\n", - " 'P_m': {('place', 'PV', 0, 0, 0): 66.66666666666666,\n", - " ('place', 'PV', 0, 0, 1): 88.8888888888889,\n", - " ('place', 'PV', 0, 0, 2): 100.0,\n", - " ('place', 'PV', 0, 0, 3): 77.77777777777777,\n", - " ('place', 'WF', 0, 0, 0): 100.0,\n", - " ('place', 'WF', 0, 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 0, 3): 77.77777777777777,\n", - " ('place', 'LiI_discharge', 0, 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 2): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 3): 0.0,\n", - " ('place', 'LiI', 0, 0, 0): 0.0,\n", - " ('place', 'LiI', 0, 0, 1): 0.0,\n", - " ('place', 'LiI', 0, 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 0, 3): 0.0},\n", - " 'Cap_P': {('place', 'PV', 0): 100.0,\n", - " ('place', 'WF', 0): 100.0,\n", - " ('place', 'LiI_discharge', 0): 100.0,\n", - " ('place', 'LiI', 0): 0.0},\n", - " 'Cap_S': {('place', 'LiI_Power_stored', 0): 100.0},\n", - " 'P_location': {('place', 'PV', 0): 333.33333333333337,\n", - " ('place', 'WF', 0): 322.22222222222223,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'LiI', 0): 0.0},\n", - " 'S_location': {('place', 'Power', 0): 655.5555555555555},\n", - " 'R_location': {('place', 'Power', 0): 490740740.7407407},\n", - " 'C_location': {('place', 'Solar', 0): 333.33333333333337,\n", - " ('place', 'Wind', 0): 322.22222222222223},\n", - " 'B_location': {('place', 'Solar', 0): 0.0, ('place', 'Wind', 0): 0.0},\n", - " 'P_network': {('PV', 0): 333.33333333333337,\n", - " ('WF', 0): 322.22222222222223,\n", - " ('LiI_discharge', 0): 0.0,\n", - " ('LiI', 0): 0.0},\n", - " 'S_network': {('Power', 0): 655.5555555555555},\n", - " 'R_network': {('Power', 0): 490740740.7407407},\n", - " 'C_network': {('Solar', 0): 333.33333333333337,\n", - " ('Wind', 0): 322.22222222222223},\n", - " 'B_network': {('Solar', 0): 0.0, ('Wind', 0): 0.0},\n", - " 'Fopex_process': {('place', 'PV', 0): 87204600.0,\n", - " ('place', 'WF', 0): 335400.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'LiI', 0): 0.0},\n", - " 'Vopex_process': {('place', 'PV', 0): 30000000.000000004,\n", - " ('place', 'WF', 0): 1595966.6666666667,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'LiI', 0): 0.0},\n", - " 'Capex_process': {('place', 'PV', 0): 56700000.0,\n", - " ('place', 'WF', 0): 99063700.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'LiI', 0): 0.0},\n", - " 'Incidental_process': {('place', 'PV', 0): 0.0,\n", - " ('place', 'WF', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'LiI', 0): 0.0},\n", - " 'Fopex_location': {('place', 0): 87540000.0},\n", - " 'Vopex_location': {('place', 0): 31595966.66666667},\n", - " 'Capex_location': {('place', 0): 155763700.0},\n", - " 'Incidental_location': {('place', 0): 0.0},\n", - " 'Fopex_network': {0: 87540000.0},\n", - " 'Vopex_network': {0: 31595966.66666667},\n", - " 'Capex_network': {0: 155763700.0},\n", - " 'Incidental_network': {0: 0.0},\n", - " 'Cost': {None: None},\n", - " 'objective': 215841074.07407403}" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "SUMMARY:\n", - " number of constraints: 126\n", - " number of variables: 110\n", - " number of binary variables: 0\n", - " number of integer variables: 0\n", - " number of continuous variables: 110\n" - ] - } - ], - "source": [ - "results.model_summary()\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Results**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some handy plotting functions such as schedule can plot the consumption (C), sales(S), inventory schedules (Inv) for any resource, and production (P) for any process. Component can be either a process or resource. " - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAx0AAAHtCAYAAAB8lBOjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACUdklEQVR4nOzdd3xT9f7H8Ve6W6ADKJS9R0FAQaYMFVQEuSrrOhAULwoKehGcqIAyVFBx4GAj4GKIE0QZDjaI7CVQEKFQVstoCzTf3x/5NZfSdEHak6Tv5+PRh5iz3iffnCSfnPP9HpsxxiAiIiIiIpJP/KwOICIiIiIivk1Fh4iIiIiI5CsVHSIiIiIikq9UdIiIiIiISL5S0SEiIiIiIvlKRYeIiIiIiOQrFR0iIiIiIpKvVHSIiIiIiEi+UtEhIiIiIiL5SkWHyCVSUlKYNGkSHTp0oFy5coSEhBASEkLZsmVp1aoVjz/+ONOnT+fvv/9263YffPBBbDZbhj9P8/PPP2fKOG3aNLdvxxOfi9mzZ3PTTTcRFRVFcHAwFSpUoH379kycONHqaDnat28fzz33HE2aNKF48eIEBgZSrFgxatasyR133MHQoUNZuHAh586dc+t24+LiMrXjsGHD3LqN/HLjjTdmyn75X0BAAKVLl6Z9+/bMmDGDtLQ05/LDhg3LcrkHH3wwy+1OmzbN5TJ5Oc4+/vhjwsPD6d2791U8A+LN8vKaEylINmOMsTqEiCfYvXs3nTp1YufOnZQvX5577rmHypUrExwczD///MOiRYtYsWKFc/4ZM2bQo0cPt2x75cqV7Nmzh99++40JEyYA4GmHZnx8PD///DMADzzwAABTp051+weapz0XI0aM4KWXXqJYsWL079+fqlWrsn37dsaPH09MTAxxcXGWZcvJhAkTePLJJ0lJSaFt27a0atWK8uXLk5qayrZt25g7dy7x8fEABAUFce7cOfz9/d2y7bNnz/LVV18BMHDgQI4dO8bQoUO9ovD46aefOHLkCNu3b2fUqFEAPPLII7Rq1co5z8mTJ/nxxx/5/vvvAWjTpg3z588nMjKSTZs2sWnTJn788UdmzpwJwG233UaPHj2oVq0azZs3d7ndvXv3smLFCjZt2sSYMWPo168fLVq0oEWLFlStWjVX2a+55hq2bt0KwLFjxyhRosQVPw/indJfcyNHjmTHjh306tUrX34gEskzIyLm7NmzpnLlygYwffr0MampqS7nmz59uvHz8zOAmThxottzTJ061QDG0w/N9IxTp07Nt214wnORkJBggoKCDGC+/vrrDNOee+45U6lSJWuC5cL3339vABMUFGQWLFjgcp4zZ86YO++80/k8X7hwIV+yVKpUyQBm6NCh+bL+/LJ06dIcX+sTJkxwztOhQ4cM03bu3OmcVrNmzVxvt3///iYgIMAcPXo0z5nHjx9vihUrZnr06JHnZcW3tGnTxgCmV69eVkcRMcYYo8urRIDp06cTFxdHeHg477zzDkFBQS7n69mzp/NXfvF9q1at4vz584DjkptLPffccyxevNiCVLkzfPhwwPGabd++vct5ihQpwrRp04iIiCjIaD6lT58+3HTTTQD88MMPLFu2zDmtZs2aNGrUCIBdu3axfv36HNeXlpbG7NmzueWWW4iOjs5znscee4ykpCRmzJiR52VFRPKTig4R4JdffgGgTp06hIaGZjvvfffdVxCRxAOcOHHC+e/w8PAM0yIiIqhWrVpBR8qVc+fOsXbtWgCuv/76bOeNjIykQ4cOBRHLZ3Xu3Nn576+//jrDtEvfLz799NMc17V48WKOHDmi9xkR8TkqOkSA48ePA5CQkJDjvE2bNmXMmDE0bdo0v2OJxex2u9URrsjJkyed/WBy85ru378/Y8aMcVt/jsLm0uJzz549Gabdc889+Pk5Pmq/+OKLHF9Tn376KWFhYdx1111uzykiYiUVHSJAVFQU4OjIuWbNmmznjYiIYPDgwdSrVy/LeYwxfPrpp7Rv357SpUsTGBhI8eLFad68Oc8++6zzV+ic/PHHH3Tu3JlSpUoREhJC3bp1GTt2bK6+DC9dupRu3bpRtmxZgoKCKFmyJG3atOG9994jNTU122WPHj3KgAEDqFy5MiEhIZQrV457772XjRs3Zrtcs2bNMoyacvklSfHx8W4fASspKYlXXnmF6667jvDwcMLCwqhevToPP/xwjnmzkj6C1kMPPeR87NLMlStXzrTMhQsXGD9+PG3atKFkyZLOUa7uu+8+li9fnu12Lh+pa9u2bfTs2ZMKFSoQEBDgnJbbTuuRkZHOdc2ZMyfDyEqutGjRgsGDB2c7UtixY8cYMmQIDRo0IDw8nCJFilC7dm2efPJJ9u/fn6tc2a37vffeo2PHjpQrV46goCDCw8Np2LAhL7/8svNHgcu5GiUqLi6Ov//+m8cee4wqVaoQFBTknHbppU/udGmxduHChQzTypYtS5s2bQD4559/+PXXX7NcT0pKCl999RWdOnWiaNGiecqQ1XNxqcqVK7s8PufOnUvLli2JiIigWLFitGzZkm+//TZP23flyy+/5LbbbiM6Otr5HtiqVSuGDRvGtm3bsl12+fLl3HfffVSoUIHg4GDn+9cHH3yQ6TkGWLZsmcv3ljNnzvDss89SuXJlwsLCiI2N5fXXX8/wHrho0SJat25NeHg4UVFR3HXXXWzfvj3H/YuPj+fpp5+mTp06FClShKJFixIbG8uAAQPYu3dv3p8wXI88df78ed544w0aNmxIREQERYsW5frrr+fDDz+8qh9GTp8+zZQpU+jcubNz0JSiRYtSt25dnnrqKQ4ePJir9axYsYL777+fihUrEhwcTLFixahXrx59+vTh22+/zfb952o+p8QLWd2pRMQTvPnmm84On+XLlzcLFy684nWdOnXK3HTTTQYwFSpUMC+//LKZOHGiefnll02NGjWc2+nXr1+mZS/tPP3TTz+ZChUqmBdffNFMnjzZDB482ISGhhrA9O/fP8vtp6Wlmf79+xvAFC9e3Dz33HNm8uTJZuTIkSY2NtYApm7duubAgQMul9+yZYspVaqUAUytWrXMa6+9ZiZOnGgee+wxExkZaRYuXJhl59qFCxeaGTNmmFatWhnAtGnTJsP05ORkM2PGDDNjxowcO+jmpiP5n3/+acqUKWMAc8stt5j33nvPTJgwwTz44IMmICDA2Gw2M3bs2CyXz8qKFSvMjBkzzCOPPOLMkJ57xowZ5quvvsow/99//23q1atnABMbG2tGjx5tJk6caJ544gkTFhZmAPPUU08Zu92e43aWLl1qSpYsafr3728mTpxonnvuORMSEmIAs2/fvlzvQ3oewNx9993m77//zvPzkG7p0qUmKioqw/P84Ycfmq5duxrAhISEmC+++CLL5XPqSB4ZGWkAU7JkSfPss8+aCRMmmGHDhplrr73WeUxu374903IbN240M2bMMC+88IJzX7///nsTExNjevXqZSZMmGBeffVVZ/alS5fmeb9zep0aY8y0adOc8/3nP//JNH3ixInO6X369MlyPXPmzDGA+eabb/KU0xjXz8Xlr5evvvoq0/H56quvmrp165qxY8eaiRMnmu7duxvA2Gw28+WXX+Y5R7revXsbwFStWtX5Hjhq1Chz/fXXO/O5Wr/dbjcDBw40gAkLCzNPPPGEmThxohk9erTz/atevXrm4MGDGZaLj4/P9N7y/vvvm0aNGpnevXubCRMmmOeff96Eh4cbwHTr1s0YY8yMGTNM48aNzbhx48zYsWOd+YoXL27279+f5f799NNPJjw83NhsNtO1a1fz0UcfmQ8++MB06dLF2Gw2ExwcbD777LM8P2/p+1C7dm0DmHvuucfccMMNpnr16mbEiBFm0qRJ5sknnzRFihRxDl6Q1cAnOXUkTz++ihYtap544gnz0UcfmZEjR5rWrVsbwERGRprffvsty6x2u90MGjTI2Vbp71mjRo0yN998s7MdYmNjMy17tZ9T4p1UdIgYY44dO2ZKlizpfJMEzLXXXmveeuutbD94LpeWluYsOOrVq2dOnjyZYXpqaqrp3LmzAcydd96ZaflLv2jXrVvX7N27N8P0mTNnGsD4+fll+QX0xRdfNIApW7ZspjfslJQU07ZtWwOY66+/PtNoRWfPnjVVqlQxgGnWrJk5d+5chukrV640FSpUyPGLWK9evVwWHZe62qLj8OHDJjo62gDmxRdfzDT9xx9/dI40dnmRkFu5KXzOnj3r/JBs166dSUlJyTD9zz//NEWLFjWAGTZsWI7bqV69ulm7dm2G6SNGjMhz0TF9+vQMr+fAwEDTvXt389VXX5mzZ8/mej3btm1zFk6unudJkyY5X5NLlixxuY6cio4iRYqYcuXKmfj4+AyPX7x40Tz00EMGMPXr189UtKW7tDgoX768+fbbbzNMTz9u8qvo6Nmzp3M+V180T5486RwFrXjx4ub8+fMu19O5c+dsp+c1c1avl/Tjs3Tp0qZZs2YmOTk5w/T057xq1apXlCH9h4ny5cubU6dOZZhmt9vNAw88kOVzOnToUOcX4T///DPDtJSUFNOuXTsDmDp16mR6f0qXvv9ly5Y1EyZMyDBt1apVGdqqY8eOGd4Hk5OTTf369Q1gHn30UZfr37x5s/OHgEmTJmWann5MBAYGmjVr1rhcR07SCwZ/f3/TvHnzTPu6fv16549QTz75ZLbryKroqFu3rilWrJjZtm1bpmnp7VC6dGlz5swZl8unz1OsWLFMbWWMMWPHjjWAiYiIyDTtaj6nxHup6BD5fytWrHB+ib38r0GDBmbo0KFm9+7d2a7j0i+PWf1C9M8//xh/f/8ciw5XX1BTU1OdH3Yffvhhpum7du0y/v7+BjBTpkxxuf1t27Y5tzFr1qwM01577TXntKw+LNN/nbK66Ej/4lKlShVz8eJFl/Ok/2pbq1atLL+wZic3RcewYcOcXw727Nnjcp70D+es5rl0O4MGDco0fePGjaZXr14mISEhT/lfeOEFY7PZMr2eQ0NDzR133GGmT59uTp8+ne06brzxRmcxlNXznP7lpnr16iYtLS3T9NwUHa+//rrLaUlJSc7X/M8//+xynku/aHfp0iXT9H/++cf06tXL5dmS7OSm6NiwYYOzoKhZs2aWX5AuHZrY1ZmMxMREExISYh555JE8Zcwuc05FB+CyUFy2bJlzel6fM2OM80yFq7Ywxpjdu3e7fE7/+usv5/tXVgX6X3/95fwxYfjw4S7nSc9es2ZNl8d93bp1DTiGk16+fHmm6a+//rrzC7Er6WeKWrdu7XK6McY0adLEgOPM4JVIP6YAs379epfzpJ9l8PPzc/m+kpuiw9UZd2McBX/FihWzLKwubatXX33V5TrsdruJjY3NVHRc7eeUeC/16RD5f82bN2fbtm0MHDiQYsWKZZi2ceNGhg8fTs2aNenSpQsHDhxwuY7x48cDUKFCBVq2bOlynvRrvC8fDelyHTt2zPRYUFAQVapUARw3M7zchAkTSEtLw9/fny5durhcb2xsLBUrVgTgs88+yzBt+vTpgOPa78aNG7tcvmvXrtnmLggnT57k888/Bxx5suoAnT5U7M6dO/njjz/cnsMYw4cffgg4+rNkdQO3+++/H3AMh/rxxx9nu05X7Va/fn2mTZtGyZIl85Rv5MiR/Pbbb9xyyy0Z+mskJyfz3Xff0atXLypWrMjrr7/OxYsXMy2/bds2Zz+If//731k+z+n799dff/Hjjz/mKWP6dgYMGOByWvrd0wF+++23HNfl6vkrW7Ys06ZNo3bt2nnOlu7MmTMcO3bM+ffXX38xfvx42rVrx/nz5ylVqhRz584lICDA5fI5jWI1b948UlJSCnTUqmLFijn7m1wqNjbW+W9X7zM5Sb+Gf/369SQnJ2eaXq1aNX766Sduu+22DI9//PHHzmXTX1Oulm3WrBkAH3zwQbY3Dr3ttttc9lNKfz2Fhoa6vFFjrVq1ADh06BBnzpzJMG3r1q3O1+G///3vLLed/t7z888/c+zYsSzny0mVKlVo2LChy2np27fb7XzyySd5XveiRYt4/fXXXU7z9/fn2muvBVwfdx999JGzrbJ6zdpsNrp27ZrpBpVX+zkl3ktFh8glSpYsyVtvvcWRI0f48ssvue+++4iMjHRON8Ywb948GjZsyObNmzMsm5iY6Pxim9WHRLrFixfn+CFRo0YNl4+n50lMTMw0benSpYCj6Dl//nyGL0mX/pUqVQogQ4f2EydOODtPpn/YuFK3bt1scxeE5cuXOzuTVqlSJcv9vLQzbm477+fF1q1bOXLkCIDzfgyu1KhRw1lkprdRVi79wucON9xwA4sWLWLfvn2MHTuWli1bOkdTAkcB99xzz/Gvf/0rU4fPJUuWOP+d3f5dOi2n/XOlYsWKzqGqjTEkJSW5bMf0u6dnx93PX7oBAwYQHR3t/KtRowb9+/fn3Llz9OrVi/Xr13PNNddkuXynTp2cP2Z88803nD17NsP0Tz/9lAoVKtC6det8ye9KtWrVMrwW0l36nufqfSYnN9xwAwBxcXHccMMNfPXVVxk6f9tsNtq1a0eZMmUyLJf+eouIiKB69epZrj/99ZZ+1/isZPUemt4O1apVc1mUXPqj06lTpzJMu/T1XalSpSzfe9LvfWOMYd26dVlmzEl277f169d3tt/vv/+e53WXLVs2w76eOXOG48ePO/chLCwMcH3cpT8PERERWf7YAvDKK69kGtHtaj6nxLu5/klGpJALDQ2lW7dudOvWjYsXL7Jo0SI+/vhjvv32W4wxHD9+nF69emX49TwuLs45kkjZsmWvOsPlZ1vSpd+40NUv0+lv7nFxcbm6sVhCQgLGGGw2W4YRiC7/MnCp9JG+rHTph9hjjz3GY489luMy6cVBfuUoV65ctvOWLVuWpKSkTB/Al8vpDNiVqlSpEoMGDWLQoEEkJCTw2Wef8f777zt/yV6wYAHvv/8+Tz75pHOZ3O7fpdNy2j9XLly4wEcffcSsWbP4888/sxy1JiUlJcd15dfz9/TTT3Prrbc6/9/f35/ixYsTGxub5c1ELxUaGspdd93FjBkzOHfuHPPnz3f+mn/kyBGWLFnCU089le0IYu6W03sMuH6fyUm3bt2YN28eX3zxBRs2bKBz585ERUVxxx130KVLF26//XaXz1n6ayen98/LX2916tRxOV9WI4ClP8dZTb+0ELt8/y99fd9xxx3Z5kx3Ne89lxaAlwsODqZ48eIcO3bsikaQM8YwY8YMpk6dytq1azMVwulcHXe5bStXruZzSrybig6RHAQEBNChQwc6dOjAsmXL6NixI+fOnWPDhg1s3rzZOXTupafhQ0JCrnq7rn6BzEl6hurVqzsv+8lJ+pv5pR842eX3hHs5XPpcv/LKKy4vkbicq2Fu3ZkjpzZPn56UlJTtfFfS7nkVHR3NE088wWOPPcbgwYN55513APjkk08yFB253b9Lp+W0f5dLSkrilltuYc2aNRQpUoT+/fvTsGFD56+cAIMGDWLTpk25Wl9+PX916tShXbt2V7WO++67z3mn8M8++8xZdHz55ZekpaUV+A0B8+u5stlsfP7553Tt2pV3332X3377jZMnTzJjxgxmzJhBqVKlePHFFzNdUpf+esvtsQTZv95y+pJ6JV9iLz0mPv7442x/5U93NZf15fR+m/5cXH4ZWE4uXrxI586d+fbbbwkMDKR37960aNGCMmXKOJ+XMWPGsGjRIpfL57atslv2Sj6nxLup6BDJgxtvvJEnn3yS0aNHA7Bjxw5n0XHpr4a5+UU2PxQrVoyTJ0/i7++f5y9Il/7ql13+nO75kBtXe9O9S5/rGjVqXPWXQXfkyKnN06enX3bhCQICAhgzZgxfffUVBw4cYMeOHRmm53b/Lp2W1/0bOnQoa9aswd/fnyVLltCkSZNM83jC2TV3aNeuHaVKleLo0aMsWrSI48ePU6JECT799FNiY2OzvazRG3Xt2pWuXbsSFxfHF198wYwZM9i6dStHjx7liSeeICEhgVdeecU5f/r7V26PJSj44+nSY6J+/frO/iX5Jaf32/TnIq/3dRk/frzzXiyfffaZy74VM2fOzHL53LZVdsteyeeUeDf16RABxo4dS0xMDOfPn89x3ks/ZC7txFilShXnL4eHDh1yf8hcSL8O+uDBg9l2sHSlUqVKzl+SDh8+nOV8J0+ezHFd6Z1ps7o0I6+/hl/u0uu9s+rUXxAuzZFTm6dPv/Tu1fmpcePG9OvXL8f5AgMDndfIX/6aye3+/fPPP85/53X/Zs+eDUDTpk1dFhy+JCAggG7dugGOS8pmz57Nvn37WLVqVYGf5ShIlStX5tlnn2XLli189913FC9eHIDXXnstQ5+R9NdbTsfS1bzerlZBv/dc3qfkUqmpqZw4cQLAOcBIbqUfd2XLls2yM3d2cttW2S17JZ9T4t1UdIjgON175MiRXN1F9tJf6StUqOD8d7Fixbj++usBx6gt2Xn00Ufp3r2728+I3HTTTQCcPXuWLVu2ZDnfqlWrCAgIoFOnTs7HoqKinNdGb9iwIctlc7qTMPzvuvqsPjB37dqV4zqy06JFC+c14atXr8523g4dOhAQEJAvnRFjY2OJiYkBsm/zv/76y1lopbdRfktISMi2HS+V/pq+9PUMGbNmt3+X9m3K6/4dPXoUyL7PSF4vHfFklxYXn332mXNkHl8qOubNm8dHH33kclrHjh159dVXAUfhdel7QfprJzExMdu+Qemvt5iYmKu6dOlKXPr6zum9p27dugQFBV1Vn47s3m83btzoPHazGi0xK1d73OW2rd599126du3q8j3iSj6nxLup6BC5xBdffJHjPAsXLgSgRIkSmYaVffzxxwHHLzhZDe+5ceNGJkyYwKFDh9zS9+NSjz76qPMa4GnTpmU53+TJk0lLS+Oee+7J8HivXr0A2L9/f5Zf0ufOnZtjjvQhKffu3evybMd3332X4zqyExkZ6bwefuHChVl+qO/fv59FixZRrVo1Z0HoTjabzXk2YeXKlezbt8/lfOlDpPr7+/PII4+4PUdW1q1bl2MhffbsWefIN+nDfKaLjY11fkH44osvsrzUI33/qlevnqGzdW6kD1qQVSGanJyc6bIvb9aiRQtn/6LffvuNjz/+ONvhlr3RN998w8svv5zl9EsHqri0o/Sl71+uhhUGnGeGwDGIREFf53/pMfH5559n+cPR8uXL2bZtG23atKF06dJXvL29e/fy559/upyW/nnl5+fHAw88kKf1prfBnj17XF7uaozJcruQu7Y6f/48I0eOZMGCBRnOSF3t55R4LxUdIpd47bXXWLBgQZbTP/vsMyZPngzA8OHDM43J36NHD26++WYA+vfvn+kyonPnztGnTx8AXnzxRXdGB6Bq1aq89NJLALz//vsZhjxNN2fOHCZPnkzDhg0zjTP/+OOPO0/TP/nkk5nG2F+7di1TpkzJMUf6+PjJycmZipS9e/cyb968PO2XK6NHj6Z06dKcO3eOhx9+ONOIR6dPn+a+++4jLS2N0aNH59uXk6effprY2FjS0tLo27dvpkv0Nm/ezNixYwF4+eWXC/TLZVpaGvfee2+WRdm5c+d46KGHOH78OBERETzzzDOZ5hk/fjxhYWHs3r3b+Qv1paZNm8bSpUvx8/Nj4sSJee6cnH5px8aNGzONx2+M4ZlnnslyVB1vde+99wKO/Ttw4IBPneVIl5CQwLvvvpvp8fQRkwAaNGiQYVjbS9+/xowZk2nwgPPnz9O3b1/S0tKoU6cOgwcPzsc9yFr6MXHo0CGefPLJTF/ajxw5woMPPkhAQAAjR468qm1FR0fTv3//TO/Ff/zxh7MT9hNPPJHny6vSj7sTJ064vFfHm2++me0ZjMvb6vIh5I0xDBo0yNl/59K+N1f7OSXeSx3JRXBc1xoYGEhKSgodOnSgTZs2tGvXjrJly2KM4e+//2bRokWsXLkSf39/hg4d6jyrcSk/Pz/mzZvHXXfdxbJly6hXrx69e/emXLly7N+/n+nTp/P333/zyiuvZPhVedOmTWzatImVK1c6H0vvxHf33XdTpEgRfvrpJ44cOeL8Arl3715mzpxJ0aJFueuuu5zLvfzyyyQlJfHWW29x6623ct9993HDDTdw7tw5fv31V+bPn0+NGjWYN29epqIpLCyMb7/9lptuuomVK1fSsGFDHnroIUqUKMGGDRuYOnUqY8aMce77ypUrCQgIoFKlSrRq1cq5nipVqvDYY48xfvx4evfuzfr164mNjWXfvn1Mnz6dqVOn0rZt2wzrqFq1Ki1atGDlypXs2bPH5XPRokUL55f20qVL8/PPP9OhQwe+//576tevzwMPPEBMTAx79uxh+vTpxMfHM3LkSDp37pyn10N2GS5tE3AMhbpo0SJuv/12Fi1axHXXXUfPnj0pWbIkmzdvZtKkSZw9e5aBAwc6P2jTZdful7drXlWqVIn9+/ezZs0aatSowd13302jRo2IiIjg3LlzbN26lblz5xIfH0/58uWZPXu2y0stYmNj+f7777n77rsZPnw4K1eu5F//+hcBAQEsWbKEL7/8kpCQEKZNm8aNN97oXO7s2bN89dVXzn+n7+/lr9mhQ4eyZMkSNm7cyP33388333zjfL1+++23bNy4kZiYGOLj452v+dKlS3PLLbewd+9eVqxYkeFeDfPnz3feRLFHjx5X9NylH2uXrjf9dQoZX4dX4r777nMORuHv7++WL1XpryVXz0X9+vWpX7++c7/Sz34dOXIkU3tc3nk4fb+rVauWq1Hi4H+drZ988km+//57brrpJqKjozl69Cjz5s1j3bp1xMTEMGvWrEzLvvzyyyQmJvL222/TokULHn74YerXr8+xY8f45JNP2LZtG9dccw0LFixw3tsFMr7eLs+evv/px3VW+5/d6+mWW25xnrFIPyY6d+7MhAkTWL9+Pf/+97+JiIhgx44dTJkyheTkZCZNmnTV/ZQ6dOiAn58fDRo04MEHH6R06dJs2bKFiRMnkpyczO23356paEhvw8s/K+B/x0S/fv347rvv+Omnn3jhhRf4/fffadeuHTabjZ9//pmffvqJypUrExcX5/J1kt5W6Z81zZs3d7bV0aNH+frrr1m9ejUdOnRg+PDhmfbraj6nxIsV6P3PRTzYiRMnzKxZs8yjjz5qmjVrZkqXLm2Cg4NNYGCgKVGihGnatKl5+umnzfbt23Ncl91uNzNnzjS33nqriY6ONgEBAaZUqVLmzjvvNEuWLMk0/9ChQw3g8m/fvn3GGGPatGnjcnqlSpVcZli+fLm59957Tfny5U1QUJApVqyYadKkiXn99dfN2bNns81/5MgR079/f1OxYkUTFBRkSpUqZTp27GgWL15sjDGZMnTp0iXTOtLS0syYMWNMnTp1THBwsClZsqS5++67zZ9//ulyHffff78xxphevXpl+VxMnTo103ZOnz5tRo8ebRo3bmzCw8NNYGCgKV++vLn33nvNypUrs93PrGSX4dI2uVRqaqp5//33TatWrUxUVJQJCgoy5cqVM/fcc4/5/fffXW4nu3bPql3zYsuWLebNN980nTt3NnXq1DERERHG39/fhIaGmgoVKpgOHTqYDz74wJw+fTrHdSUkJJgXXnjB1KtXzxQpUsSEhoaamjVrmgEDBpi4uLhM8+/bty/X+3b27FkzfPhwc80115iQkBATEhJiatSoYR577DGzb9++TK/9Nm3aGGOMmTp1arbtdKWyOtayex3mVf369Q1gbr311qtelzHZv5aGDh1qjMnde0hW6+jVq1ee8ixdutQMGDDANGzY0ERGRhp/f39TrFgx06hRIzN06FBz/PjxbJf//fffzb333mvKlStngoKCTFRUlGnZsqV5//33TWpqaqb5s3u9pe9/Vsd1+v5n93paunRppm1efkwEBQWZqlWrmv/85z9m69ateXq+LpfeVunP++TJk02zZs1MRESECQsLMw0bNjTjx483aWlpmZbN7TFx4cIFM27cOHP99debsLAwExQUZCpVqmR69uxpNm3alOn5yu1nTXh4uGnZsqWZNGmSy3zZLZuXzynxPjZjNHSAiIiIiKe48cYb+eWXX+jVq1e2/R5EvIn6dIiIiIiISL5S0SEiIiIiIvlKRYeIiIiIiOQrDQkgIiIi4gFyM/KUiLdSR3IRERERD5Dd/YT0dU28nc50iIiIiHgAFRbiy1R0FAC73c6hQ4coVqxYvt0VWURERESkIBljOH36NGXLlsXPL/uu4io6CsChQ4eoUKGC1TFERERERNzu77//pnz58tnOo6KjABQrVgxwNEh4eHiBb99ut5OQkEB0dHSOVahYQ23kHdRO3kHt5PnURt5B7eQdrGynpKQkKlSo4Pyumx0VHQUg/ZKq8PBwy4qOlJQUwsPD9abhodRG3kHt5B3UTp5PbeQd1E7ewRPaKTfdB/QKEhERERGRfKWiQ0RERERE8pWKDhERERERyVcqOkREREREJF+p6BARERERkXylokNERERERPKVVxUdK1asoFatWthsNuLi4qyOIyIiIiIiueAVRUdycjKDBg2idevW7Nq1K9fLrV69mrvuuovo6GhCQ0OpW7cuI0aMIDU1NdvlDh8+TN++falYsSLBwcFUrFiRvn37cujQoavdFRERERGRQsfji449e/Zw7bXXMnfuXBYsWJDr5T799FNuuOEGjhw5wrx589iyZQu9e/dm+PDhtGrVijNnzrhcbtu2bdSrV4+vv/6at99+mx07dvD2228zf/586tevz7Zt29y1ayIiIiIihYLH35F869attG3bljfeeIOiRYvmapk9e/bQu3dvSpQowYIFC4iMjARg0KBBpKamMmTIEAYOHMjEiRMzLHfx4kW6dOnC8ePHWb58OS1atACgSpUqxMTE0LJlS7p27cqmTZsICPD4p05ERERExCN4/JmOjh078sEHH+S64AAYNWoUqampPPTQQ86CI93jjz9OcHAwU6ZM4cCBAxmmffbZZ+zYsYOmTZs6C450N9xwA82aNWP79u188cUXV7w/IiIiIiKFjccXHf7+/nmaPy0tjXnz5gHQtm3bTNMjIiJo3LgxdrudOXPmZJg2e/bsLJcDaNeuHYCKDhERERGRPPD4oiOvdu3axalTpwCoXbu2y3nSH1+7dm2Gx1evXn1Fy4mIiIiISNZ8rmPCnj17nP+OiYlxOU+ZMmUyzXvmzBmOHj2aq+Xi4+M5d+4cYWFhLudLTU3NMEJWUlISAHa7HbvdnttdcRu73Y4xxpJtS+6ojbyD2sk7qJ08n91ux6SlqI08nI4l72BlO+Vlmz5XdKR/wff39ycwMNDlPOnFQmJiYqblAEJDQ7NdLn3ZrIqO0aNHM3z48EyPJyQkkJKSksMeuJ/dbicxMRFjDH5+PndyyyeojbyD2sk7qJ08W8CZ7RTZ+waR5w5y/JoPMUWrWx1JsqBjyTtY2U6nT5/O9bw+V3R4gueff56nnnrK+f9JSUlUqFCB6OhowsPDCzyP3W7HZrMRHR2tNw0PpTbyDmon76B28lDn/sG2ZTiYi6Q1Hc/xk6eI3v0UtJgFoWWsTicu6FjyDla2U0hISK7n9bmiI/1LfVpaGhcuXHB5tuPcuXOAo1P55cuB42aErqQvd/mylwsODiY4ODjT435+fpYdtDabzdLtS87URt5B7eQd1E4e5MJp2PYGnNoI9YZD8evws9sxyUeh8Qf4reoFreZCUNafq2IdHUvewap2ysv2fO4VVK1aNee/4+PjXc5z+PDhTPMWLVqUUqVK5Wq5mJiYLC+tEhEREcB+EXZ/BL/eDdEtoPXXUPy6jPOE14YGI2HF/ZBW8Jcfi0jB8bmio2bNms6zEDt27HA5T/rjjRs3zvB4kyZNrmg5ERER+X/GwMFvYeltYAuAmxZC2dvBZnM9f8mmULM/rHoI7GkFm1VECozPFR3+/v507twZgMWLF2eanpiYyNq1a/Hz86NLly4ZpnXr1i3L5QB+/vnnDPOJiIjIJY6vg1/+BSf/cJzZqP4f8MvFldxl20PZDrD+CUfRIiI+x+eKDoAXXniBoKAgpk6dmmGEKoDx48eTmprKgw8+SKVKlTJMu/fee6lZsyarV69mxYoVGaatWLGCVatWUatWLe6999583wcRERGvcSYOVvSEPZOg6QSoNxQCi+ZtHVUegKJVYcur+RJRRKzlFUVHQkIC8fHxGfpauHosXfXq1Zk0aRLHjh3j9ttvZ/ny5ezdu5c333yToUOH0qhRI8aNG5dpucDAQObOnUvx4sXp0qUL8+bNIy4ujnnz5tGlSxeKFy/OnDlzCAjwuf73IiIieXf+JGx4GjYMhjrPQpOPrm4kqthBcPE0/DXBfRlFxCN4xbfnxo0bs3///gyPpfe/ADAuTsU+8MAD1KhRg9GjR3PnnXdy5swZqlSpwksvvcQzzzyT5RBf11xzDZs2bWL48OE8+eSTHD16lFKlStGpUyeGDh1KuXLl3LtzIiIi3ibtPOz+AA79AHWfh9I3uW/d174Oqx+G4GiocLf71isilvKKoiMuLu6KlmvWrBlff/11npcrV64cEyboVxYREZEMjIG/58DuD6Fqb0cncZubL5qw+UGTCfB7dwguAaVau3f9ImIJryg6RERExGIJy2HLCCh9I7T5HgJC829bfoHQfAb81gWui4So+vm3LREpECo6REREJGtJu2DTyxAa4ygEQkoWzHYDizruVr68OzSdAkUrF8x2RSRfqOgQERGRzFISHCNJpR6DBiOgWPWCzxBSEppNddzD44YvICS64DOIiFuo6BAREZH/uZgMO8fB0V/hmpccdxO3UpFK0OgdWNEDWs3N+1C8IuIRvGLIXBEREclnxg57P4FfOkKxmnDjD9YXHOki68E1L8LKHo6Rs0TE66joEBERKeziF8PS9nDhFNy4ECp2AZvN6lQZlWoFVR6ENX0cBZKIeBVdXiUiIlJYndri6CRerAa0/BKCIq1OlL0Kd0FqAmx4BhqOtTqNiOSBznSIiIgUNsmHYfUjsH0sNHobrnvd8wuOdNX7OLJuV9Eh4k1UdIiIiBQWF87ApmGOgqPGo9B8mqOjtrepOwTO7nf0QRERr6CiQ0RExNfZL8JfE+DXu6BEY2jzDRRvZHWqK2ezQcNxcHgh/POD1WlEJBdUdIiIiPgqY+Cf72HpbY7/v2khlOvoeZ3Er4Sfv+MeHrs/hGOrrE4jIjlQ0SEiIuKLTvwBv94Jx9dC66+h+iPg52Pjx/gHQ4uZsPFFSNxudRoRyYaPvfuIiIgUcmf3O0ak8g+Bxh9BWFmrE+WvoAhH4bH8XmgxA8LKW51IRFxQ0SEiIuILzp+CraPhzF9QbzhEXmN1ooITGgNNJ8LKXtBqDgRFWZ1IRC6jy6tERES8Wdp52Pku/N4dytwKreYWroIjXbHqcN0bsPx+uJhsdRoRuYyKDhEREW9kDByYA8vaQ2Cko5N4TFurU1mreCOIfQpW9XKM2CUiHkNFh4iIiLdJWAHLOsLpv6DN91C1J9j0kQ5ATDuo0AXWPe4ozETEI6hPh4iIiLc4/RdsegmCo6H5dAiJtjqRZ6r0b0g56uhQ3+BVq9OICDrTISIi4vlSjsG6Jx0FR73hcP27KjhyUmsAmDTY+b7VSUQEFR0iIiKeKy0Ftr0BK3tApe5ww2cQXtPqVN6jwUg4tRH2f2l1EpFCT0WHiIiIpzF22DcTlnWAolXgxgUQfYPVqbyPzQaNP4QDX0L8YqvTiBRqKjpEREQ8SfwSWNoeUo85io2K3RxfnuXK+AVA809g+1jHXdpFxBLqSC4iIuIJErc5Oj4XrQotv9AN7twpIAxazILfu0GTCVCsmtWJRAodFR0iIiJWSo6HzcMh7RxcNxaKVrY6kW8KLu4Y8WvFA3DD5xBa2upEIoWKig4RERErXDzruOTn+FqoNwxKXG91It8XVh4af+DomN9qLgSGW51IpNBQnw4REZGCZE+DvybBL/+CqIbQ5lsVHAUpIhbqvQIrekBaqtVpRAoNFR0iIiIFwRj45wdYehuYi3DTj1C+kzqJWyG6OVR/FFY/7BgpTETynS6vEhERyW8nNsDmYRDVAFp/BYHFrE4k5To6Rghb/19o9I6KP5F8pqJDREQkv5z9Gza/DLYAR1+CsHJWJ5JLVe0FKfGwbTTUfcHqNCI+TZdXiYiIuNv5RPjzeVj/JNR+CppOVMHhqWKfgZQERz8bEck3KjpERETcxX4Bdr4Pv3eF0jdD63kQWc/qVJIdmw0avglHf4WD31idRsRnqegQERG5WsbA3/McdxIPLAY3LoQyt1idSnLL5gdNJ8GeyXD0d6vTiPgkFR0iIiJX49gq+OUOSNrhGP62ai/w87c6leSVfxC0mAlbXoFTW6xOI+Jz1JFcRETkSpzeA5tehqAoaDYVQkpZnUiuVmAxR+Gx/B5HmxapZHUiEZ+hokNERCQvUo/DlhGQfBjqD4fwWlYnEncKKQVNJ8Oqh6DlbAguYXUiEZ+gy6tERERyIy0Fto2BFfdDhc7Q8nMVHL6qaBVo+LajrS+etTqNiE/w6aLj4MGD/Pe//6V27dqEhoYSERFBs2bN+Pjjj7HbM9+BdNmyZdhstmz/5s+fX/A7IiIi1jF2iPsUlnWEIhXhxgVQqpXVqSS/RTWAOs/Dyp6OUclE5Kr47OVVv//+O506dQJgzJgxtG3bljNnzvDRRx/Rt29fvv/+e+bOnUtgYGCG5QICAqhWrVqW6y1WTHeRFREpNI78AltHQZnb4MYfwD/Y6kRSkEq3gfPHYc2jjkuudNdykSvmk0VHUlISXbp04dSpU3zxxRd0797dOW38+PEcOnSI+fPn88YbbzBkyJAMy5YrV44dO3YUdGQREfEkidsdncSLVHJcRhUUZXUisUqFzpByFP58Dq573eo0Il7LJy+v+vLLLzl69CjR0dF07do10/QBAwYAMHbsWFJTUws6noiIeKrkI7D2McfZjevegIZjVXAI1OgL/qGw/S2rk4h4LZ8sOv78808Aqlatip9f5l2sUaMGAKdOnWLp0qUFGU1ERDzRxbOw+VVY/TBUfQhazHB0JhZJV28onN4N+2ZZnUTEK/lk0ZGWlgaAv7/rmzOFhYU5/51eoKS7cOEC48aNo3nz5pQpU4YyZcrQsmVLxowZw5kzZ/Its4iIWMCeBnumwC//gqj6jpv7lWhsdSrxRDYbXP8+/PMtHPrR6jQiXscn+3SkdwSPi4tzOf3Sxw8fPpxh2qFDh/j8888ZPHgwsbGxnDx5khkzZvDMM88wYcIEFi1aRJUq2f/6lZqamuGyraSkJADsdrvLUbPym91uxxhjybYld9RG3kHt5B1y3U6Hf8S2401M+buhzQ/gFwjGOP4kX3nvsWSDplOw/d4VExgBJZpYHShfeW87FS5WtlNetumTRUfnzp157rnnOHToED/99BO33HJLhunTp093/vvs2f+Nv12+fHmGDh3KkCFDMoxq1bJlS4KDg3nvvffo2rUr69atw5bNCBajR49m+PDhmR5PSEggJSXlanbtitjtdhITEzHGuLzcTKynNvIOaifvkFM7BZzeStF9Y7hYpDZna32ICSgGx05akLTw8vZjyVb9bSLX9SGp1mjSwrIe8dLbeXs7FRZWttPp06dzPa/NGN/8Sef111/nueeeo3LlykybNo3WrVtz4sQJpkyZwtChQylWrBhHjx7liSee4J133slxfUeOHKFcuXKkpaWxaNGiTIXMpVyd6ahQoQInT54kPDzcLfuXF3a7nYSEBKKjo/Wm4aHURt5B7eQdsmyncwexbR4GNhvmmqEQVt6yjIWdTxxLyYewreyJaf4JhJa1Ok2+8Il2KgSsbKekpCSioqJITEzM8TuuT57pAHj22WepUqUKo0aN4sYbbyQgIIC0tDRatGjBokWLeOmll5wjXOVG6dKlKV++PPv372f58uXZFh3BwcEEB2cey93Pz8+yg9Zms1m6fcmZ2sg7qJ28Q4Z2upAE216HxK1QbzhENUB3W7Ce1x9LRcpDk4+wrXoQWs2BoEirE+ULr2+nQsKqdsrL9ny26ADo3r073bt3JykpiZMnT1KiRAmKFi0KwNGjRwGoX79+rtcXExPD/v37OXHiRL7kFRERN7JfgL8mw9/zIPZpaDDS6kTia8JrwrWjYcX90Gou+IdYnUjEYxWKsjU8PJxKlSo5C47k5GT27NlDcHAwrVq1cs733XffcezYsSzXEx8fD0BkZGS+5hURkatgDMEJC7At6+C4t8JNP0LZ26xOJb6qRGOo9SSsfNAxGpqIuOSzRceKFSuyvLP4ggULSE1NpVu3bkRF/e+mT506deK7775zuUxCQgIHDx4EoHnz5u4PLCIiV+/Yamy/diLg7E5M66+h2kPg53r4dBG3KXMrlOsE6/pr9DORLPhs0fHMM8/Qr1+/TI+fPXuWl19+mcjISF577bVM0z/55BNc9a0fNWoUaWlpxMbGcuutt+ZLZhERuUJn9sKKB2DfJ5imkzlb+b8QEJbjYiJuU+V+x+VWmzOPXikiPlx0ACxbtoy+ffuyceNG4uLimD9/Pi1btuTw4cMsWLCAcuXKZZjf39+fpUuX0qlTJxYvXkxcXBwbNmzgySefZNy4cZQvX565c+dmedNBEREpYKknYP1T8OdzUHcINB4PIaWtTiWFVe2BkJYMuz+0OomIx/HZjuRPPPEEMTEx/Pjjj8yYMQObzUblypXp1KkTgwYNomTJkpmW2b9/PzNnzmTRokXcd999nDhxgtDQUGrUqMGwYcMYMGAAxYsXt2BvREQkg7RU2PU+HF4EdV+A0m2sTiTicO1rsPphCI6Gil2tTiPiMXz2Ph2eJCkpiYiIiFyNYZwf7HY7R48epVSpUhryzkOpjbyD2skDGAP7v4A9E6Haf6DSv8GWsS3UTp7P59vIfgGW3wM1B0DpG61Oc8V8vp18hJXtlJfvuD57pkNERHzM0V9h6yiIuQVu/AH8M98PScQj+AVC80/gty4QFAVRDaxOJGI5FR0iIuLZknbCppcgtDy0+BSCdZmreIGAItBiFvzeHZpOgqJVrE4kYikVHSIi4plSjjpGArqQ6LhOvmhVqxOJ5E1wCWg2FVY9CDd8DiGlrE4kYhkVHSIi4lkunoMdb8OxFXDNy1CyqdWJRK5ckYrQ6D3HkM6t5kBgMasTiVhCvYJERMQz2NNg7zT4pRNE1IU236ngEN8QWRfqvQwrH4C081anEbGEig4REbHe4UWwrD1cPAs3LYQKd4HNZnUqEfeJvgGq9obV/wFjtzqNSIHT5VUiImKdk5tg81CIqAOt5kJgwQ8rLlJgyv8LUhPgj0HQ8C0V1lKo6EyHiIgUvHP/OH7x3TkOGr0LDUaq4JDCodrDEBIN29+wOolIgVLRISIiBefCadj4Eqx9DGr2h2ZToEgFq1OJFKw6z8O5Q7BnqtVJRAqMig4REcl/9ouw+0P4rbPj2vbW8yHqWqtTiVjDZoNGb8ORxfDPd1anESkQKjpERCT/GAMHv4Gl7cEvCG5cCGXb61p2EZsfNJ0Mf02EhJVWpxHJdyo6REQkfxxf6xj+9uRGaPO141p2P3+rU4l4Dv9gaDHDMZhC4jar04jkK41eJSIi7nUmDja9BAFFoekkCI2xOpGI5woMh+YzYMW90Gy6+jiJz1LRISIi7nH+JGwd5Sg66g93DIMrIjkLLQ1NJsKqB6HlbAgubnUiEbfT5VUiInJ10lJhx9vw+z1QtiO0mq2CQySvilWD68bCivvh4jmr04i4nYoOERG5MsbA/i9h2e0QUhpuWgClb7Q6lYj3Kn4dxD4NK3s6RnwT8SEqOkREJO+O/g7LOsDZ/XDjD1D5PsdoPCJydWJuhordYW0/R2Ev4iPUp0NERHIvaRdsehlCy0CLmRBcwupEIr6nUndIOQobh8C1o6xOI+IW+llKRERylpIA6wbA5uHQYKTjxmYqOETyT63+YPOHne9anUTELVR0iIhI1i4mw9bRsLIXVLoPbpjl6PAqIvmv/iuQuBXiPrc6ichVU9EhIiKZGTvsnQ6/3AHhteDG7yG6udWpRAoXmw2uHw8H50H8z1anEbkqKjpERCSj+J9haXu4kAQ3LoAKnR1ffkSk4PkFOG4auONtOLHe6jQiV0wdyUVExOHUFkcn8fBajhuUBUVYnUhEAAJCHQM3/NYNGn8I4TWsTiSSZyo6REQKu3OHYPMwMBeg0TgoUtHqRCJyuaAoaD4dVj4ALT6F0BirE4nkiYoOEZHC6sIZ2D4GTm6AesOgeEOrE4lIdsLKwfUfOAqPlnN0NlK8ivp0iIgUNvaLsPtj+PUuKNEUWn+tgkPEW0TUhvojYEUPSEuxOo1IrqnoEBEpLIyBf75zdBK3+cNNC6FcB3USF/E2JZtCzcdgVW+wp1mdRiRXVHSIiBQGJ9bDL/9y/Lf1fKj+H8eoOCLincreDmXaw/onHT8oiHg4feKIiPiys/th01DwD4GmEyC0jNWJRMRdqvaE1KOwZQTUe8nqNCLZ0pkOERFfdP4UbHgG/hgEsU9Dk49UcIj4otjBcCER/ppodRKRbOlMh4iIL0k7D7s/hEPfQ53nIOZmqxOJSH677g1H/47gaKhwl9VpRFzSmQ4REV9gDByYA8tuh+ASjk7iKjhECgebHzSdCPs+gaO/Wp1GxCWd6RAR8XYJKxzXdJduA22+c9y9WEQKF79AaP4J/NYFGkZBZD2rE4lkoKJDRMRbJe2GzS9DcCnHl42QklYnEhErBRaFFrNg+b+h6WQoWtnqRCJOKjpERLxNyjHY8iqkJkC9VyC8htWJRMRThJSEZlNg1UNww5f6MUI8hk/36Th48CD//e9/qV27NqGhoURERNCsWTM+/vhj7HZ7lsutXr2au+66i+joaEJDQ6lbty4jRowgNTW1ANOLiFzmYjJsex1WPgCV/g03fKqCQ0QyK1IJGo6DFffDhTNWpxEBfLjo+P3336lXrx7Tp09n8ODBbNu2jd9//51GjRrRt29f7rrrLi5cuJBpuU8//ZQbbriBI0eOMG/ePLZs2ULv3r0ZPnw4rVq14swZHbwiUsCMHfbNhF/ugKLV4MYfILqF1alExJNF1Ydrhjh+pLBn/r4jUtB88vKqpKQkunTpwqlTp/jiiy/o3r27c9r48eM5dOgQ8+fP54033mDIkCHOaXv27KF3796UKFGCBQsWEBkZCcCgQYNITU1lyJAhDBw4kIkTNRa2iBSQ+CWOsxvlOsKNC8A/yOpEIuItSrWG1BOwuo/jkiubz/7WLF7AJ199X375JUePHiU6OpquXbtmmj5gwAAAxo4dm+GSqVGjRpGamspDDz3kLDjSPf744wQHBzNlyhQOHDiQr/lFRDi11TEKzeEfoeUXUOsJFRwikncV7nKcGf3zWauTSCHnk0XHn3/+CUDVqlXx88u8izVqOK6BPnXqFEuXLgUgLS2NefPmAdC2bdtMy0RERNC4cWPsdjtz5szJp+QiUuglH4Y1fWH7GGj4Flz3OgRFWp1KRLxZ9UcgIBy2j7U6iRRiPll0pKWlAeDv7+9yelhYmPPf6QXKrl27OHXqFAC1a9d2uVz642vXrnVTUhGR/3fhDGweDmsehep9oPk0R2dQERF3uOZFOBMH+2ZYnUQKKZ/s01GtWjUA4uLiXE6/9PHDhw8Djv4c6WJiYlwuV6ZMmUzzupKamprhsq2kpCQA7HZ7tqNm5Re73Y4xxpJtS+6ojbxDvrST/SLsm4rtwGxMrSehzotgs4FeC1dMx5PnUxtZ5Lq3sa3qiQksDmVvz3F2tZN3sLKd8rJNnyw6OnfuzHPPPcehQ4f46aefuOWWWzJMnz59uvPfZ8+eBf5XGPj7+xMYGOhyvelnSBITE7Pd/ujRoxk+fHimxxMSEkhJScn9jriJ3W4nMTERY4zLy83Eemoj7+DWdjKGoONLKPL3BFJK3UFy7DTwC4CEBLdkLcx0PHk+tZGFqr5G5OY+nD1r40JEw2xnVTt5Byvb6fTp07me1yeLjqpVqzJy5Eiee+45HnnkEaZNm0br1q05ceIEU6ZMYdKkSZQqVYqjR49SpEgRt2//+eef56mnnnL+f1JSEhUqVCA6Oprw8HC3by8ndrsdm81GdHS03jQ8lNrIO7itnU78gW3rKxB5LebmbwkMLEox98Us9HQ8eT61kcWKf0Hw8m6Y0u9CuOtLykHt5C2sbKeQkJBcz+uTRQfAs88+S5UqVRg1ahQ33ngjAQEBpKWl0aJFCxYtWsRLL73kHOEKcBYDaWlpXLhwweXZjnPnzgGOTuXZCQ4OJjg4ONPjfn5+lh20NpvN0u1LztRG3uGq2unsAdg8FGyB0PgjCCuLzf0RBR1P3kBtZKGQKGgxE9vye6HFTAgrl+WsaifvYFU75WV7Plt0AHTv3p3u3buTlJTEyZMnKVGiBEWLFgXg6NGjANSvXx/4Xz8QgPj4eCpUqJBpfen9Py6dV0QkR+cTYdtrcHoX1BsOkddYnUhECrvQGGgyAVb2hFZzICjK6kTi4wpF2RoeHk6lSpWcBUdycjJ79uwhODiYVq1aAVCzZk3nGYwdO3a4XE/6440bNy6A1CLi9dLOw8734PduENMOWs1VwSEiniO8Blz3Biy/Hy4mW51GfJzPFh0rVqzIsnhYsGABqampdOvWjagoR2Xv7+9P586dAVi8eHGmZRITE1m7di1+fn506dIl/4KLiPczBg7MhWW3Q2AE3LQQYjLf/0dExHLFG0HtgbCql2M0PZF84rNFxzPPPEO/fv0yPX727FlefvllIiMjee211zJMe+GFFwgKCmLq1KmZRqgaP348qampPPjgg1SqpLHzRSQLCSthWUc4vRvafAdVe4LNZ99qRcQXlLkFyneGdf0dP5qI5AOf/iRctmwZffv2ZePGjcTFxTF//nxatmzJ4cOHWbBgAeXKZew4Vb16dSZNmsSxY8e4/fbbWb58OXv37uXNN99k6NChNGrUiHHjxlmzMyLi2U7vcVyisP8zaD4d6j4HAaFWpxIRyZ3K90BEHcdgFyL5wGc7kj/xxBPExMTw448/MmPGDGw2G5UrV6ZTp04MGjSIkiVLulzugQceoEaNGowePZo777yTM2fOUKVKFV566SWeeeaZPA0NJiKFQOpx2PIqJMdD/VcgvKbViURErkytJ+DPF2DXeKj5uNVpxMf4bNGRPnLVlWjWrBlff/21mxOJiE9JS3F0Ej+yBOoOgVItrU4kInL1GoyENY/AgdlQXn1YxX18tugQEckXxg5xs2DfNKjRF2J/AJvutiEiPsJmg8YfwvJ7ITAKbBpxT9zDp/t0iIi41alNRG28D1KPwY0/QMVuKjhExPf4BUDz6dh2vEnA6c1WpxEfoTMdIiK5kbQb24bBnKr7AdHlaoPuzisiviwgDNNsBsWW3Q2lKkNEDasTiZfTp6aISE6S42Hto5hm0zCBxa1OIyJSMIKLkxg7DtvaRyH5iNVpxMup6BARyc75RFj5gOMa59CyVqcRESlQ9pBymEbvwsoecOG01XHEi6noEBHJSloKrOgB9UdCeC2r04iIWCOiDtR7xfF+mJZqdRrxUio6RERcsafBqt6OsepLNrE6jYiItaKbQ/U+sPo/jlH8RPJIRYeIyOWMgfVPQtkOULa91WlERDxDuTsgpi2sH+h4nxTJAxUdIiKX2zICilaFKj2sTiIi4lmqPghhZWHba1YnES+jokNE5FJ/TYCLpyH2KauTiIh4pthnIOUo7JlsdRLxIio6RETS/T0fjq2Ca/ULnohIlmw2aPgmHPkFDn5jdRrxEio6REQAjv4K+z6BJh+DTW+NIiLZsvlB00mwdwokLLc6jXgBfbKKiJzaDFtHQYsZ4BdodRoREe/gHwTNZ8Dm4XBqq9VpxMOp6BCRwu1MHKz/LzSfCQFFrE4jIuJdAotBi5mwfgCcPWB1GvFgKjpEpPBKOQarH4ZmUyCkpNVpRES8U0gpaDoZVj0EqcetTiMeSkWHiBROF87Ayh7Q6B0oUsnqNCIi3q1oFUfn8hX3w8WzVqcRD6SiQ0QKH/sFWNkT6g6ByGusTiMi4huiroU6zzneX+0XrE4jHkZFh4gULsYOq/tA1V5QqpXVaUREfEvpG6HSfbCmr+5aLhmo6BCRwuXPZyG6JZS/0+okIiK+qWIXKNEYNj5vdRLxICo6RKTw2D4WAiOh+n+sTiIi4ttq9AW/ENjxttVJxEOo6BCRwmHfDMdwjnVfsDqJiEjhUG8onN4N+2ZZnUQ8gIoOEfF9hxbAoYXQ8G2w2axOIyJSONhs0Og9+OdbOLzI6jRiMRUdIuLbjq2G3R867sXh5291GhGRwsXPH5pPg53vwPG1VqcRC6noEBHflbgDNr3kuFuuf7DVaURECif/EGgxC/58HpJ2WZ1GLKKiQ0R807l/YN1j0PwTCAy3Oo2ISOEWFOl4P17bF5IPW51GLKCiQ0R8z/mTsLIXNJkAoTFWpxEREYCwstD4I1jxAJxPtDqNFDAVHSLiWy4mw4oecN0bUKy61WlERORS4TWhwShYcT+kpVidRgqQig4R8R32i7CqF9R+Coo3tDqNiIi4UrIJ1BwAqx4Ce5rVaaSAqOgQEd9gDKx7HCp0hZi2VqcREZHslL0Nyt4B6wc43r/F56noEBHfsHkoRFwDlbpbnURERHKjyv1QrAZsecXqJFIAVHSIiPfbNR5MGtQaYHUSERHJi9oD4eI52P2R1Ukkn6noEBHvdmA2nNwI9UdYnURERK7Eta/B8TVwYK7VSSQfqegQEe8VvwT2fwmNPwCbzeo0IiJyJWw2aPIxxM2CI79YnUbySYDVAURErsiJDbB9LLSaA356KxMR8Wp+gdBiBvzWxXEjwagGVicSN9OZDhHxPqf3wIanocVMCAizOo2IiLhDQBFoMQv+eArO7LM6jbiZig4R8S7JR2BNH2g+DYKLW51GRETcKbgENJsKqx+GlASr04gb+XTRERcXx8CBA6lfvz5RUVGEhIRQvXp1+vbty759mSvouLg4bDZbtn/jxo0r+B0REYcLSbDyAbh+PISVtzqNiIjkhyIVodG7sKIHXDhjdRpxE5+9EHrJkiXccccdXLx4keHDh3PHHXcQGBjIkiVLeP7555k1axY//fQTzZo1y7RsrVq1slxv8eL6ZVXEEmmpsOIBqP8KRMRanUZERPJT5DVwzUuwsgfc8CX4B1mdSK6SzxYdAwcOJDk5mSFDhvD88887H69duzaBgYE88sgjPProo2zcuDHTsjt27CjIqCKSE2N3nGqv/iiUzPxDgYiI+KBSLeH8Cccltc2mgs2nL9DxeT7bert37wagefPmmaalP7Zp0yaOHz9eoLlEJI+MgfUDIeYWKNfB6jQiIlKQyv8LSrWGPwY7Pg/Ea/ls0dGggWOotW3btmWalv6YzWYjJCSkQHOJSB5tew3CykHVXlYnERERK1R7GEJKwvYxVieRq5CnouOVV17h3Llz+ZXFrT788EPKlSvHiBEjmD17NsnJyZw/f56ffvqJp556CoA2bdpQpEiRTMtOnTqVNm3aUKFCBUqVKkXjxo15+eWXSUjQKAoiBWrPZMfoJbFPW51ERESsVOd5OHcQ9k6zOolcoTz16Rg+fDj9+vUjLMzzx8W/9tpr2blzJ2+//Ta9e/fm7Nmz2Gw27HY74DgTMmXKFJfLvv766wwZMoRrr72Wc+fO8dVXXzFq1CgmTJjA999/T6NGjbLddmpqKqmpqc7/T0pKAsButzu3X5DsdjvGGEu2LbmjNnLhn2+wHfkF03SK45S6B5xWVzt5B7WT51MbeQePa6dr38S2uhcmqASU7Wh1Go9hZTvlZZt5KjqMMbRv354OHTrQvn17mjdvjp+fZ16hdfLkSR588EG+++47Bg0aRLdu3QgODubXX38lPj6eQYMGERUVlWGZ8PBwnnnmGYYMGUJ4eLjz8aZNm1KqVCkGDRrEnXfeya5du7ItvEaPHs3w4cMzPZ6QkEBKSor7djKX7HY7iYmJGGM8tr0KO7VRRoGn1lDkwMecuuZjSDhmdRwntZN3UDt5PrWRd/DIdqoymsgtj3D2rB8XIrL/EbiwsLKdTp8+net5bcbk/udDPz8/XnvtNVavXs3ixYvx8/OjXbt2tG/fnvbt21O2bNkrCuxuxhiaNWvGmjVreOGFFxg5cmSG6V999RX9+vVj8uTJdOyYu0o5JSWFChUqcOzYMSZMmECfPn2ynNfVmY4KFSpw8uTJDMVMQbHb7SQkJBAdHe05bxqSgdroEolbsW0YhLlhDgQWtTpNBmon76B28nxqI+/gse10IQnb710xDd/REOpY205JSUlERUWRmJiY43fcPBcd8fHxlCpVirS0NJYvX86PP/7IwoUL+fPPP7nmmmu4/fbbad++PS1btiQgwJoReRcvXky7du0AOH78uMt7a9SsWZN9+/axZs0arrvuulyt98Ybb+SXX36hV69eTJs2Ldd5kpKSiIiIyFWD5Ae73c7Ro0cpVaqUZ71piJPa6P+dPQCrHoIbPoeQaKvTZKJ28g5qJ8+nNvIOHt1OyUdgxb3Q/JNCf7NYK9spL99x85Rs3759REc7vgj4+/vTunVrRo4cyfr16zl8+DCDBw/m77//pnv37pQoUYK7776bCRMmcODAgSvfmyuwfv16AEqXLp3lzfxq167NxYsXmTRpUq7XGxMTA8CJEyeuPqSIZJR63FFwNJ3skQWHiIh4kNDS0GQirOwFqfpe5g3yVHRUqlQJm83mclqpUqV44IEHmDVrFkeOHOHnn38mKCiIfv36UaVKFerWreuWwHmRVVbAWQkePHjQ+diSJUuyLZDi4+MBiIyMdE9AEXG4eBZW3A8N34aila1OIyIi3qBYNbhuLKzoARe9Y3TVwsyt52CSk5P59ttvefzxx+nevTtz5szBGIMxpkDv8l2zZk3AUSQkJia6nGfnzp3A/85eAPTu3TvLEa1SU1Od9/dwdcNBEblC9guwsqdjOMSo+lanERERb1L8Oogd7DjjYb9odRrJxlUXHbt27WLcuHHcdtttFC9enLvuuouPP/6Y/fv3A3D99dfz0ksvsXz58qsOm1u33norpUuXBuDdd9/NNH3hwoXOIqhLly4Zpn3xxRcZOoGn++ijj0hISKBkyZLcf//9+ZBapBAyBtb0hcr3Q+k2VqcRERFvFHMzVOwGa/t5xPDq4lqee3qnpKSwdOlSfvjhBxYsWMC+ffsAx4hRAMWLF+fWW2+lQ4cO3Hbbbc4+IAUpLCyMWbNmceedd/LKK69gs9no2rUrwcHBLFmyhGeffRaAAQMGcOuttzqXCwgIYMeOHdx000288MILxMbGkpKSwpw5cxg5ciSRkZHMmzfPks7gIj5p4/NQojFU6Gx1EhER8WaVukPKUdj0IjQYmfP8UuDyVHR06NCBX375hZSUFGeRYbPZaNSoEbfffju33347TZo08YgRDtq2bcvGjRt5++23mTFjBiNHjiQtLY3o6GhatWpFnz596NChQ4ZlVq9ezWeffcYPP/zAo48+SkJCAoGBgVStWpUnnniCgQMHUq5cOYv2SMTH7Hgb/EOhRl+rk4iIiC+o1R82vgg734NaA6xOI5fJ85C54Cg0OnbsSPfu3S07m+FNNGSu5KTQtdG+WXBsOVw/HrIZ8MHTFLp28lJqJ8+nNvIOXtlOxsDavlD6Zqj0b6vTFAhvGTI3T2c6vvzySxYsWMDChQtZtGgRycnJHD16lA4dOlC7du2rCi0ihcThRXDoO2g+06sKDhER8QI2m+MHrRX3QXAJiGlndSL5f3kqh7p27crkyZP5559/WL16NW3btmX+/PnUq1ePypUr07dvX77++mvOnj2bX3lFxJsdXws734VmU8HP3+o0IiLii/wCoNl02P4WnPjD6jTy/674HEyDBg147rnn+PXXXzl27BhjxozhwoULPPbYY5QoUYK2bdsyduxYtm7d6s68IuKtknbBxhegxSzwD7E6jYiI+LKAULhhFmx4Gk7/ZXUawU336YiIiKBbt27OsyCrVq2iXbt2zJkzh/r161OxYkUeffRRd2xKRLzRuUOOa2ybfwJBEVanERGRwiAoyvG5s+YRSI63Ok2h5/beJvv372f16tWsXr2a7du3A467fk+aNMndmxIRb3A+EVb1gsYfQWgZq9OIiEhhElYOrv8AVj4AF5KsTlOo5akj+c0338y8efOIjIx0Pnb+/Hl++eUXZwfz9Dt9pw+KFRQURMuWLbn99tvdl1pEvENaCqy4HxqMgvCaVqcREZHCKKI21B8By++HVnPAP9jqRIVSnoqOZcuWceHCBfbs2eMsMpYtW0ZycjLwv0KjSpUqtG/fnvbt23PzzTdTpEgR9ycXEc9mT4NVD0GtJxw3ABQREbFKyaZQ8zHH51LzGRrMxAJ5viP59ddfz8GDB4H/FRkhISG0adOG9u3bc/vtt1Ozpn7RFCnUjIH1A6BcJyhzq9VpREREoOztkJIAf/wXGr2rYdsLWJ6Ljr///huAGjVqcPvtt9O+fXtuvPFGQkI0Go2I/L8tr0CxmlD5PquTiIiI/E/VnpByBLaOgmuGWJ2mUMlz0TFmzBg6d+5MlSpV8iOPiHi73R9BWjLUG2p1EhERkcxiB8OGwfDXJKj+H6vTFBp5Hr3qgQceUMEhIq4dmOu4AWCD0VYnERERcc1mg+vGQMLvcPBrq9MUGnkqOnr16kVoaGieN5KUlETv3r3zvJyIeJEjy2D/Z9DkI10nKyIins3mB00mwN5pcPQ3q9MUCnkqOj755BPnSFV5kZyczPTp0/O8nIh4iZMbYdvrjpsw+QVanUZERCRn/kGOkay2jIBTm61O4/Py1KfDGMPYsWMpWrRonjZy5syZPM0vIl7kzD744ylo+SUEhFmdRkREJPcCi0KLmbD839BsKhSpZHUin5XnjuRvvvlmnjdijMGmyy1EfE9KAqx+GJpNh+ASVqcRERHJu5BoaDoFVvWGG76AkJJWJ/JJeSo6QkJCSElJoUSJElxzzTW5Xu78+fOsWrUqz+FExINdOAMrekCj96BIBavTiIiIXLmilaHh27Difmg9DwJ0Y2t3y1PRsW/fPl5//XUmTJhAYGAgL730Eq1atcpxufj4eMqVK3fFIUXEw6Sdh5U9oN7LEFnX6jQiIiJXL6q+494dKx6All+oj6Kb5akjeenSpXnrrbfYt28f1157LR06dODGG29kyZIl2S4XHBxM69atryqoiHgIY4c1faDqwxB9g9VpRERE3KdUa6jSE9Y84vi8E7fJ8306AKKjo3njjTfYt28fzZs35+6776ZFixYsXLjQ5fxRUVEsXbr0qoKKiAcwBv4YDKXaQPlOVqcRERFxvwp3Qcnm8OdzVifxKVdUdKQrWbIko0ePJi4ujrZt23LvvffSuHFjvvnmG3flExFPsn2Mo8NdNd13R0REfFj1RyCgKGzP+wBK4tpVFR3poqKiePXVV4mLi6Njx448+OCDNGjQgDlz5rhj9SLiCfZOg+RDUEe//IiISCFwzUtwZi/sm2l1Ep/glqIjXUREBMOGDWPZsmUcPnyYf//737oTuYgv+Od7iF8MDd/S3cZFRKRwsNmg0btw6Ac45LoLgeSeW4uO/fv388gjj9CkSROOHz+OMQZjjDs3ISIFLWEl/DUBmk4Cm1vfMkRERDybnz80mwK73odjq61O49Xc8g1i//799OnTh5o1azJ58mTOnz9PzZo1mTFjBpMnT3bHJkTEConbYPNQx91a/YOtTiMiIlLw/EOgxSzY9CIk7bQ6jde6qqIjLi7OWWxMmTKFCxcuOIuNrVu3cv/99+Pnp19GRbzSuYOwrj80nwGBxaxOIyIiYp2gCGj+CaztB+f+sTqNV7qiiiAuLo7//Oc/1KpVK0OxMXPmTBUbIr4g9QSsfBCaTITQ0lanERERsV5oGWj8MazsBedPWZ3G6+SpMti3bx8PP/wwtWrVYurUqRmKjW3btnHfffe5LDZOnjzJzTff7LbQIpKPLp6DFT3gujFQrJrVaURERDxHeA247nVYcT9cTLY6jVcJyMvMtWrVIi0tDWMMtWvX5qWXXuLee+/Ncbnz58/zyy+/XHFIESkg9ouOX3BiB0Px66xOIyIi4nmKN4Ja/4VVD0KLTx2dzSVHeSo6Ll68iM1mo0SJEjRp0oSffvqJn376KcflkpNVCYp4PGNg7WNQqTvE6MykiIhIlsrcAqnHYN3j0PhDDSefC3kqOgCaNWtGUFAQ+/fvz/Uy58+fz+tmRKSgbXoRoq6Fit2sTiIiIuL5Kt8LKUdh8zCoP9zqNB4vz0XHV199RalSpfK0THx8POXKlcvrpkSkoOx8F2z+UPMxq5OIiIh4j9pPwp/Pw64P9Bmagzx1JK9UqRL+/nm/bi04OJjWrVvneTkRKQBxnzvux1FPv9KIiIjkWYNRcPIPODDH6iQeLU9nOvbt23dFG4mKimLp0qVXtKyI5KP4n+HgV46bHul6VBERkbyz2aDxR7D8HgguAaVvsjqRR8rz5VUi4iNOrIcdb0PLOeCntwIREZEr5hfguHngb10gMFIjQLqgO/iJFEan/4INz0KLmRAQanUaERER7xcQ5rhyYMNgOLPX6jQex6eLjri4OAYOHEj9+vWJiooiJCSE6tWr07dv32wvFdu5cyc9evSgTJkyhISEUK1aNZ5++mkSExMLML1IPkmOhzWPQPPpEBRldRoRERHfEVwcmk2D1f+B5CNWp/EoPlt0LFmyhDp16jB+/Hjuvfdefv31V/7880+eeuopPvvsM+rXr8+qVasyLbds2TKuu+461q1bx7Rp09i+fTsvvvgiH330EQ0bNuTw4cMW7I2Im1xIgpU94foPIEwjyomIiLhdkQpw/fuw8gG4cNrqNB7DZy/kHjhwIMnJyQwZMoTnn3/e+Xjt2rUJDAzkkUce4dFHH2Xjxo3OaadOnaJbt24YY/jhhx+oWrUqAFWqVCE4OJj777+fnj175uqGiCIeJy0VVvSA+q9CRG2r04iIiPiuiDpQb5jjc7flbPAPsjqR5Xz2TMfu3bsBaN68eaZp6Y9t2rSJ48ePOx9/7733OHbsGHfeeaez4Eh3zz33ULZsWX7++WeWL1+ej8lF8oE9DVb1hhqPQcmmVqcRERHxfdEtoNp/YPXDYOxWp7GczxYdDRo0AGDbtm2ZpqU/ZrPZCAkJcT4+e/ZsANq2bZtpGT8/P26++WYAvvjiC7fnFck3xsAf/4Wy7R1/IiIiUjDKd4LSN8MfTzk+jwsxny06PvzwQ8qVK8eIESOYPXs2ycnJnD9/np9++omnnnoKgDZt2lCkSBEAzp49y9atWwHHJViupD++du3aAtgDETfZOhKKVIYqD1idREREpPCp9hCExMC2161OYimf7dNx7bXXsnPnTt5++2169+7N2bNnsdls2O2O01sNGjRgypQpzvn37dvnnBYTE+NynWXKlAFgz5492W47NTWV1NRU5/8nJSUBYLfbndsoSHa7HWOMJduW3Mm3NtozEdv5U5hrXwC1/1XTseQd1E6eT23kHdROblT7aWwbBmH+mgxVH3Lrqq1sp7xs02eLjpMnT/Lggw/y3XffMWjQILp160ZwcDC//vor8fHxDBo0iKio/w0Xml4YAISGur5vQVhYGECOQ+eOHj2a4cOHZ3o8ISGBlJSUK9mdq2K320lMTMQYg5+fz57c8mr50UbBCQsITlhKUuxbcPSoW9ZZ2OlY8g5qJ8+nNvIOaic3K/cMEdufJCUlkNSSt7pttVa20+nTuR+dyyeLDmMM7du3Z82aNbzwwguMHDnSOa1+/fp89dVXxMbGMnnyZDp27Oj27T///PPOS7jAUdBUqFCB6OhowsPD3b69nNjtdmw2G9HR0XrT8FBub6Ojv2I7+Q2m9eeE+AVe/foE0LHkLdROnk9t5B3UTvmg5AxCVnTHlKoKJVu4ZZVWttOlfaNz4pNFx5IlS1izZg0AgwYNyjT97rvv5tlnn+Wuu+5izZo1XHfddRmKgeTkZJfrPXfuHAARERHZbj84OJjg4OBMj/v5+Vl20NpsNku3LzlzWxud2gzbRkOrudgCMr8O5eroWPIOaifPpzbyDmonN/MLgRazsP3WBRq+DZF13bJaq9opL9vzyVfQ+vXrAShdujTFixd3OU/t2rW5ePEikyZNAhz34rDZbADEx8e7XCb9xoDVqlVzd2QR9zi7H9b/F1rMgsCiVqcRERGRywUWgxYzYf0AOPu31WkKjE8WHenSiwhX0iuzgwcPAlCkSBHq1nVUmzt27HC5TPrjjRs3dmdMEfdIOea4F0ezKRBS0uo0IiIikpWQUtB0Mqx6EFJPWJ2mQPhk0VGzZk3AccYiq07fO3fuBDKOVNWtWzcAFi9enGl+u93OkiVLMswn4jEunoWVPaDROChSyeo0IiIikpOiVaDhm7Difrh4zuo0+c4ni45bb72V0qVLA/Duu+9mmr5w4ULnWYsuXbo4Hx8wYAAlSpTg66+/Zt++fRmW+fzzzzl06BA333wzrVq1ysf0InlkvwArHoC6QyCyntVpREREJLeiroU6z8DKno7Pcx/mk0VHWFgYs2bNokiRIrzyyiuMGDGCHTt2sG/fPiZPnkyPHj0AR5Fx663/G7IsKiqKL7/8EoDbb7+dRYsWsW/fPqZOncqjjz5K5cqVmTFjhiX7JOKSscOaR6BKTyilYlhERMTrlL4JKt0Da/v59F3LfXL0KoC2bduyceNG3n77bWbMmMHIkSNJS0sjOjqaVq1a0adPHzp06JBpuZtvvpkNGzbwyiuv0LNnT06ePEm5cuV45JFHeOmll4iMjCz4nRHJyp/POobcq3CX1UlERETkSlXsCqkJsPEFuHa01Wnyhc8WHeAYZer999/P83K1a9fm008/zYdEIm60fSwEhEP1PlYnERERkatVox9sGgo7xkHt/1qdxu188vIqEZ+3bwaciYNrXrQ6iYiIiLhLvWGQtBPiPrM6idup6BDxNocWwqEF0OgdyGZYaBEREfEyNhtc/z4c/BoOL7I6jVup6BDxJsdWw+4PoNlU8PO3Oo2IiIi4m58/NJ8GO9+B42utTuM2KjpEvEXSTtj0IjSfAf7BVqcRERGR/OIfAi1mwZ/PQ9Juq9O4hYoOEW9w7h/HUHrNZ0BQhNVpREREJL8FRULzT2Dto5B82Oo0V01Fh4inO38KVvaCJhMgNMbqNCIiIlJQwspC4w8dNw88n2h1mquiokPEk11MhhX3w3WvQ7HqVqcRERGRghZeC+qPhBU9IC3F6jRXTEWHiKeyX4RVD0LtgVC8kdVpRERExColm0DNx2HVQ2BPszrNFVHRIeKJjIF1/aFCZ4hpZ3UaERERsVrZ9lC2I6x/wvE9wcuo6BDxRJuHQkQdqPRvq5OIiIiIp6jSA4pWgy2vWp0kz1R0iHiaXeMdl1bVesLqJCIiIuJpYp+Ci2dg98dWJ8kTFR0inuTAbDj5JzQYaXUSERER8VTXvgbHV8Pf86xOkmsBVgcQEYegk8uxHZsNN3wONpvVcURERMRT2fygycew/B4IjAJirU6UI53pEPEEJzdQ5MAHmKbTwE+/BYiIiEgO/AKh+SfYdr4DaclWp8mRig4Rq53Zi+3PZzlV530ICLM6jYiIiHiLgCKYlnPBP9TqJDnST6oiVko+Aqv7YJpOxZwJsjqNiIiIeBsvuSRbZzpErHLhNKx8AK5/H8LKW51GREREJN+o6BCxQloqrOgB9YZDhOd3/hIRERG5Gio6RAqascPq/0D1RyC6udVpRERERPKdig6RgmQMrB8IMW2hXEer04iIiIgUCBUdIgVp22sQVhaqPmh1EhEREZECo6JDpKDsmQIpRyH2GauTiIiIiBQoDZkrUhAOfgtHf4FmU71maDsRERERd1HRIZLfElbA3slww5dg08lFERERKXxUdIjkp1NbYfNwaDUH/HXzPxERESmcVHSI5Jezf8P6J+CGzyCwmNVpRERERCyjaz1E8kPqcVj1IDSdBCGlrE4jIiIiYikVHSLudvGs427jDd+ColWsTiMiIiJiORUdIu5kvwAre0KdZyGqgdVpRERERDyCig4RdzEG1vSFSvdB6RutTiMiIiLiMVR0iLjLxuehRGOo2MXqJCIiIiIeRUWHiDvsGAd+IVCjr9VJRERERDyOhswVuVpxn8HpXXD9eKuTiIiIiHgkFR0iV+PwIvjnG2g+E2w2q9OIiIiIeCQVHSJX6vha2Pmu427jfv5WpxERERHxWCo6RK5E0i7Y+AK0nA3+IVanEREREfFoPtuRPC4uDpvNlqu///73v87lli1bluP88+fPt2y/xAMkH4a1faHZdAiKtDqNiIiIiMfz+TMdVatWJTAw0OW0xMRE4uPjiY2NzfB4QEAA1apVy3KdxYoVc2tG8SLnE2HFA9D4Iwgra3UaEREREa/g80XH4sWLqVy5sstpPXr04Pvvv6dHjx4ZHi9Xrhw7duwogHTiVdJSYMX90GAUhNe0Oo2IiIiI1/DZy6uCg4Np1KgRwcHBLqfHx8cze/ZsevfuTZEiRQo4nXgdexqseghqDoCSTaxOIyIiIuJVfPZMR5kyZVi3bl2W0z/66CMuXrxI//79CzCVeCVjYP0AKHsHlL3N6jQiIiIiXsdnz3Rk58KFC3z88cd07NiRKlWquJw+btw4mjdvTpkyZShTpgwtW7ZkzJgxnDlzxoLEYqktr0CxGlDlfquTiIiIiHglnz3TkZ0vv/yS+Ph4nnjiCZfTDx06xOeff87gwYOJjY3l5MmTzJgxg2eeeYYJEyawaNEil8VKutTUVFJTU53/n5SUBIDdbsdut7t3Z3LBbrdjjLFk217vr4+xXTiLqfsS5OPzpzbyDmon76B28nxqI++gdvIOVrZTXrZZKIuO9957j9jYWNq1a5dpWvny5Rk6dChDhgzJMOpVy5YtCQ4O5r333qNr166sW7cOWxZ3oB49ejTDhw/P9HhCQgIpKSnu25FcstvtJCYmYozBz69Qnty6IsFHvyf4+G8k1X4Tjh7N122pjbyD2sk7qJ08n9rIO6idvIOV7XT69Olcz2szxph8zOJx1q5dS5MmTfjggw/o169fnpY9cuQI5cqVIy0tjUWLFnHLLbe4nM/VmY4KFSpw8uRJwsPDryr/lbDb7SQkJBAdHa03jdw6+gu2Xe9hWnwGfq6HXHYntZF3UDt5B7WT51MbeQe1k3ewsp2SkpKIiooiMTExx++4he5MxzvvvENERAQ9e/bM87KlS5emfPny7N+/n+XLl2dZdAQHB7scNcvPz8+yg9Zms1m6fa9yciNsfwNazcEW4Hr0s/ygNvIOaifvoHbyfGoj76B28g5WtVNetleoXkFHjhy56mFyY2JiADhx4oQ7o4mnOLMP/ngKWsyEAA2lLCIiIuIOharoyM0wud999x3Hjh3Lcnp8fDwAkZGR7o4nVktJgNUPQ7OpEFzC6jQiIiIiPqPQFB3pw+R26NCBqlWrZjlfp06d+O6771xOS0hI4ODBgwA0b948X3KKRS6cgRU9oNG7UKSi1WlEREREfEqhKTpmz57N4cOHsxwm91KffPIJrvrXjxo1irS0NGJjY7n11lvzI6ZYIe08rOwB17wEkddYnUZERETE5xSaouPdd9/NcpjcS/n7+7N06VI6derE4sWLiYuLY8OGDTz55JOMGzeO8uXLM3fuXPz9/QsoueQrY4c1faBqbyjV0uo0IiIiIj6pUIxetXbtWlavXs348eOzvLdGuv379zNz5kwWLVrEfffdx4kTJwgNDaVGjRoMGzaMAQMGULx48QJKLvnKGNjwNJRqDeX/ZXUaEREREZ9VKIqOxo0bu7xcypVy5crx7LPP8uyzz+ZzKrHc9rGODuPVHrY6iYiIiIhPKzSXV4lksHc6nDsIdZ63OomIiIiIzysUZzpEMvjne4j/CZp/AjlcbiciIiIiV09FhxQux1bBXxOg5Zdg04k+ERERkYKgokMKj8TtsOllaDUH/IOtTiMiIiJSaKjokMLh3EFY9zi0+AwCw61OIyIiIlKo6PoS8X2pJ2BlL2gyEUJLW51GREREpNBR0SG+7eI5WNEDrhsLxapZnUZERESkUFLRIb7LftFxhiN2MBS/zuo0IiIiIoWWig7xTcbA2segYjeIudnqNCIiIiKFmooO8U2bXoLI+lCpu9VJRERERAo9FR3ie3a+B9igVn+rk4iIiIgIGjJXfM3+LyBxCzT+yOokIiIiIvL/VHSI74j/Gf6eCy0+BZvN6jQiIiIi8v9UdIhvOPEHbH8LWs0FP72sRURERDyJvp2J9zv9F2x4GlrNgYBQq9OIiIiIyGVUdIh3S46HNY9A8xkQFGV1GhERERFxQaNXife6kAQrH4DrP4CwclanEREREZEsqOgQ75SWCit6QP0REFHb6jQiIiIikg0VHeJ97GmwqjfU6Aclm1qdRkRERERyoKJDvIsx8MdAKHMblL3d6jQiIiIikgsqOsS7bB0FRSpC1Z5WJxERERGRXFLRId7jr0lw/iTEDrY6iYiIiIjkgYbMFe9w8GtI+B2aTbE6iYiIiIjkkYoO8XxHf4O90+CGL8Cmk3MiIiIi3kZFh3i2U5thywhoNRf8g6xOIyIiIiJXQEWHeK6z+2H9k44zHIFFrU4jIiIiIldI16qIZ0o55rgXR9MpEBJtdRoRERERuQoqOsTzXDwLK3tAw7ehaGWr04iIiIjIVVLRIZ7FfgFW9oS6L0BUfavTiIiIiIgbqOgQz2HssOZRqPwAlGptdRoRERERcRMVHeI5/nwOSjaDCndZnURERERE3EhFh3iG7W9CQFGo/ojVSURERETEzTRkrlhv30w4sxeuf9/qJCIiIiKSD1R0iLUOLYRDP0DzGWCzWZ1GRERERPKBig6xzrHVsOt9aDUH/PytTiMiIiIi+cRn+3TExcVhs9ly9fff//430/KrV6/mrrvuIjo6mtDQUOrWrcuIESNITU0t+J3xRUk7YdOL0GIW+IdYnUZERERE8pHPn+moWrUqgYGBLqclJiYSHx9PbGxshsc//fRTevbsSePGjZk3bx5ly5Zl/vz5PPfcc3zzzTcsWbKEokWLFkR833TuH1jbz1FwBEVYnUZERERE8pnPFx2LFy+mcuXKLqf16NGD77//nh49ejgf27NnD71796ZEiRIsWLCAyMhIAAYNGkRqaipDhgxh4MCBTJw4sQDS+6Dzp2BlL2j8MYSWsTqNiIiIiBQAn728Kjg4mEaNGhEcHOxyenx8PLNnz6Z3794UKVLE+fioUaNITU3loYcechYc6R5//HGCg4OZMmUKBw4cyM/4vuliMqzoAde9DuE1rE4jIiIiIgXEZ4uOMmXKsG7dOsqUcf1r+kcffcTFixfp37+/87G0tDTmzZsHQNu2bTMtExERQePGjbHb7cyZMyd/gvsqexqseghqPQnFG1mdRkREREQKkM8WHdm5cOECH3/8MR07dqRKlSrOx3ft2sWpU6cAqF27tstl0x9fu3Ztvuf0GcbAuseh/F1Q5har04iIiIhIAfP5Ph2ufPnll8THx/PEE09keHzPnj3Of8fExLhcNv3MyaXzXi41NTXDKFdJSUkA2O127Hb7Fee+Una7HWOMJdsGsG0ehilWGyp2B4syeDqr20hyR+3kHdROnk9t5B3UTt7BynbKyzYLZdHx3nvvERsbS7t27TI8nl4c+Pv7ZzniVVhYGOAY+Soro0ePZvjw4ZkeT0hIICUl5UpjXzG73U5iYiLGGPz8CvbkVujBafinnuRMtcfg6NEC3bY3sbKNJPfUTt5B7eT51EbeQe3kHaxsp9OnT+d63kJXdKxdu5bVq1fzwQcf5Ns2nn/+eZ566inn/yclJVGhQgWio6MJDw/Pt+1mxW63Y7PZiI6OLtgX499zsF3cjWk2gTDdbTxblrWR5InayTuonTyf2sg7qJ28g5XtFBKS+3utFbqi45133iEiIoKePXtmmpZeEKSlpXHhwgWXZzvOnTsHODqVZyU4ONjlqFl+fn6WHbQ2m61gt39kKRz4Em74HJvuNp4rBd5GckXUTt5B7eT51EbeQe3kHaxqp7xsr1C9go4cOeJymNx01apVc/47Pj7e5ToOHz6caV65zIkNsO0NaP4J+BW6ulZERERELlOoig5Xw+ReqmbNms4zGDt27HA5T/rjjRs3zp+Q3u7MXtgw2HG38YAwq9OIiIiIiAcoNEVH+jC5HTp0oGrVqi7n8ff3p3PnzoDjTuaXS0xMZO3atfj5+dGlS5d8zeuVUo7C6j7QbBoEF7c6jYiIiIh4iEJTdMyePZvDhw9nGib3ci+88AJBQUFMnTo10whV48ePJzU1lQcffJBKlSrlZ1zvc+E0rHgArn8PilSwOo2IiIiIeJBCU3S8++67LofJvVz16tWZNGkSx44d4/bbb2f58uXs3buXN998k6FDh9KoUSPGjRtXMKG9Rdp5WNED6g2DiDpWpxERERERD1Moio70YXL79++PLRdDtz7wwAMsX76c6Oho7rzzTurUqcOkSZN46aWX+P333ylWrFgBpPYSxg6rH4bqfSC6udVpRERERMQDFYqhhRo3bowxJk/LNGvWjK+//jqfEvkIY+CPp6D0zVDuDqvTiIiIiIiHKhRnOiSfbHsdQmKg2kNWJxERERERD6aiQ67MnqmQcgTqPGt1EhERERHxcIXi8ipxs4PfOu443nwa5KKPjIiIiIgUbio6JG8SVsCeSdByNth0okxEREREcqaiQ3Lv1FbYPAxazQX/IKvTiIiIiIiXUNEhuXP2b1j/BNzwGQRqyGARERERyT1dHyM5Sz0Bqx6EppMgpJTVaURERETEy6jokOxdPAcr7oeGb0LRKlanEREREREvpKJDsma/ACt7Qp1nIOpaq9OIiIiIiJdS0SGuGQNr+0Gle6D0TVanEREREREvpqJDXNv4AhRvBBW7Wp1ERERERLycig7JbMc48AuCGv2sTiIiIiIiPkBD5kpGcZ9B0k5o/IHVSURERETER6jokP85vAgOfg0tZoHNZnUaEREREfERKjrE4fg62PmO427jfv5WpxERERERH6KiQyBpN2x8HlrOBv8Qq9OIiIiIiI9R0VHYJR+GtY9C85kQFGl1GhERERHxQRq9qjA7n+i4+V/jDyGsrNVpRERERMRHqegorNJSYEUPqD8SwmtZnUZEREREfJiKjsLIngarHoKaj0PJJlanEREREREfp6KjsDEG1j8BZTtC2fZWpxERERGRQkBFR2Gz5VUoWg2q9LA6iYiIiIgUEio6CpO/PoaLZyD2KauTiIiIiEghoiFzC4ngo99jO7sGmk22OoqIiIiIFDIqOgqDo78QemQe5qZ52Gw6uSUiIiIiBUvfQAuDpO0k1nkP/AKtTiIiIiIihZCKjsKgel+Mf5jVKURERESkkFLRISIiIiIi+UpFh4iIiIiI5CsVHSIiIiIikq9UdIiIiIiISL5S0SEiIiIiIvlKRYeIiIiIiOQrFR0iIiIiIpKvVHSIiIiIiEi+UtEhIiIiIiL5yueLjrNnzzJ69GgaN25MZGQkYWFhVK1alTvvvJOPP/44w7zLli3DZrNl+zd//nxrdkRERERExEsFWB0gP+3evZtbbrmF6OhohgwZQoMGDUhNTeWHH37ghRdeYP369Tz66KMZlgkICKBatWpZrrNYsWL5HVtERERExKf4bNFx9uxZbr31VkqVKsWvv/5KSEiIc1rt2rVJSUlhzpw5mZYrV64cO3bsKMioIiIiIiI+zWcvrxo9ejRxcXGMGDEiQ8GR7oUXXuCPP/6wIJmIiIiISOHik0VHWloaU6ZMITg4mJtvvtnqOCIiIiIihZpPFh1btmzh8OHDVK5cmaSkJJ599lnq1KlD8eLFqVatGg8++CBbt251ueyFCxcYN24czZs3p0yZMpQpU4aWLVsyZswYzpw5U8B7IiIiIiLi/XyyT8emTZsASE5OplGjRtSrV48PP/yQkiVL8uuvv/L888/z+eefM3v2bDp16pRh2UOHDvH5558zePBgYmNjOXnyJDNmzOCZZ55hwoQJLFq0iCpVqmS7/dTUVFJTU53/n5iYCMCpU6ew2+1u3tuc2e12kpKSCAoKws/PJ+tMr6c28g5qJ++gdvJ8aiPvoHbyDla2U1JSEgDGmJxnNj7ozTffNIABzHXXXWfS0tIyTP/hhx8MYMLDw01CQoLz8d27d5uhQ4ea8+fPZ1rngAEDDGAaNmxo7HZ7ttsfOnSoc/v605/+9Kc//elPf/rTny///f333zl+P7cZk5vSxLuMGDGCl156CYDJkyfTu3fvTPPUqlWLXbt2MXbsWAYNGpTjOo8cOUK5cuVIS0tj0aJF3HLLLVnOe/mZDrvdzokTJyhRogQ2m+0K9ujqJCUlUaFCBf7++2/Cw8MLfPuSM7WRd1A7eQe1k+dTG3kHtZN3sLKdjDGcPn2asmXL5niWxScvrwoNDXX+u06dOi7nadSoEbt27WLNmjW5Wmfp0qUpX748+/fvZ/ny5dkWHcHBwQQHB2d4LDIyMlfbyU/h4eF60/BwaiPvoHbyDmonz6c28g5qJ+9gVTtFRETkaj6fvECvTJkyzn8XL17c5TzpN/k7efJkrtcbExMDwIkTJ64inYiIiIhI4eKTRcd1113n/PeRI0dczpP+eFRUlPOx7777jmPHjmW53vj4eMAzzlqIiIiIiHgLnyw6YmNjqVmzJgAbN250Oc+2bdsAaNGihfOxTp068d1337mcPyEhgYMHDwLQvHlzd8bNd8HBwQwdOjTTJV/iOdRG3kHt5B3UTp5PbeQd1E7ewVvaySc7kgN88skn9OrVizp16rBx40YCAv7XfeWHH36gY8eOlChRgr/++st55sJms3HTTTexePHiTB2+Bw4cyLhx44iNjWXz5s34+/sX5O6IiIiIiHgtnzzTAdCzZ0/69OnDtm3b6Ny5M2vXrmX//v3MmDGDXr16ER4ezpw5czJcKuXv78/SpUvp1KkTixcvJi4ujg0bNvDkk08ybtw4ypcvz9y5c1VwiIiIiIjkgc+e6Uj3xRdf8NFHH7FhwwaSk5MpV64c7du35+mnn850k79//vmHmTNnsmjRIrZs2cKJEycIDQ2lRo0a/Otf/2LAgAFZdkwXERERERHXfL7oEBERERERa/ns5VUiIrmxYsUKatWqhc1mIy4uzuo4kgW1k4iId1PR4WUWLlzILbfcQvHixSlSpAgNGzbk/fffx263X9H6Dh8+TN++falYsSLBwcFUrFiRvn37cujQITcnL1zc2U42my3bv//+97/u34FCIDk5mUGDBtG6dWt27drllnXu3LmTHj16UKZMGUJCQqhWrRpPP/00iYmJbll/YeTOdoqLi8vxeBo3bpx7ghcSBw4c4NVXX+WGG24gKiqKwMBASpcuTYcOHZgzZ84Vr1fHknu5u510LOWP+Ph4Jk+eTOfOnalUqRLBwcGEhoZSs2ZNHn300St+D/SY73pGvMZrr71mAHPHHXeYdevWmZ07d5pnnnnGAKZTp07mwoULeVrf1q1bTYkSJUxMTIyZM2eO2bt3r5kzZ44pXbq0KVGihNm6dWs+7Ylvc3c7AaZq1aqmVq1aLv9GjRqVT3viu/766y9Ts2ZNU6lSJbNo0SIDGMDs27fvite5dOlSExoaamrVqmUWLlxo9u7da6ZMmWKKFi1qqlatag4dOuS+HSgk3N1O+/btM0CWx1KtWrXM9OnT3bsTPmzZsmUmICDABAcHmxdffNGsXbvW7N6928yePdvUqFHDAObee+81aWlpeVqvjiX3yo920rGUPxo1amQA06tXL/P777+buLg4s3btWjNw4EADmLCwMPPbb7/laZ2e9F1PRYeX+PXXXw1g6tSpY86fP59hWp8+fQxgRowYkev1XbhwwdSuXdsAZvny5Rmm/f777wYwsbGxef6CXNi5u52MMVf9ZVgy+/rrr02/fv3M6dOnjTHmqr/Mnjx50pQsWdKEhISYPXv2ZJg2a9YsA5h27dpdbexCx93tlP5FSdzjq6++MoB59913M037559/TLFixQxgJkyYkOt16lhyv/xoJx1L+aNRo0amY8eOLqf16tXLAKZt27a5Xp+nfdfTK8ZL3HzzzQYwH374YaZpO3bsMIAJDw83586dy9X6PvnkEwOYpk2bupzerFkzA5iZM2deVe7Cxt3tZIyKjvxw8eLFDP9/tV9mX3nlFQOYf//735mmpaWlmbJlyxrA/P7771e0/sLK3e2kL0ru9dVXXxl/f3+TmJjocvp9992X5yJBx5L75Uc76VjKHz/++KPZvn27y2nvvvuuAUy9evVyvT5P+66nPh1eICEhgWXLlgHQtm3bTNNr1apF+fLlSUpKYsGCBbla5+zZs7NcH0C7du0Ax5DDkjv50U6SP9x9r53sjic/Pz9uvvlmQMdTXumeSJ6tY8eOnDhxgvDwcJfTy5cvD8CJEydyvU4dS+6XH+0k+ePWW2+ldu3aLqetWrUKgFtuuSXX6/O073oqOrzAunXrsNvtBAYGUq1aNZfzpL9I165dm6t1rl69OsNyV7s+yZ92Svf1119z2223UblyZUqWLEmDBg146qmn2L9//1Xnlqtz9uxZtm7dCuh48hZTp06lTZs2VKhQgVKlStG4cWNefvllEhISrI7mVQIDA7P8IguOzqsA9erVy9X6dCzlD3e306V0LOWvCxcusGvXLgYOHMinn35K586dGTFiRK6X97Tveio6vMCePXsAiI6Oxs/PdZOVKVMmw7zZOXPmDEePHgUgJiYm2/XFx8dz7ty5PGcujNzdTpd64403uPPOO/n6669ZtGgR99xzDxMmTOCaa67RWROL7du3zzkqWU7HU17bXfLH66+/zn/+8x9++OEHvv32W9q2bcuoUaOoV68e69evtzqeT7h48SI//fQTAI8//niultGxVPCupJ0upWMp/9x7770EBwdTq1Ytvv32W+bPn8/cuXMJDQ3N1fKe+F0vIN+3IFctKSkJINsXWlhYGECuhhNMX19260xfX/o6L/1/cc3d7ZRu4MCBDBo0iHLlyjkfa9iwIbVq1aJLly50796dHTt2ZJguBScvx5OG+7RWeHg4zzzzDEOGDMnwy2/Tpk0pVaoUgwYN4s4772TXrl16z7tKU6ZMIT4+nn79+tG4ceNcLaNjqeBdSTuBjqWC8PbbbzN06FAOHDjAzJkzueuuu+jWrRsTJkwgMjIyx+U98bueznSIeLi33nrLZUHRuXNn6tWrx5kzZ/jggw8sSCbiXYoXL87rr7/u8lKTxx57jJIlS/LPP/8wa9YsC9L5jr/++ovBgwfTvHlz3nrrLavjSBaupp10LOW/mJgYateuza233sonn3zCU089xezZs7nllltIS0uzOt4VUdHhBdIP6uTk5CznST8tFhERkev1ZbfOS0+z5Wad4v52yo2GDRsCsHz5cresT/IuL8eTjiXPFRISQt26dQEdT1fj8OHD3HrrrVSvXp0FCxYQEhKS62V1LBWcq2mnnOhYyh/Dhg0jKCiIdevW8e233+Y4vyd+11PR4QXSOyUnJCRkeUfr9I5gWXVgvlTRokUpVaoU4LiOL7v1xcTE6NRoLrm7nXIj/TpNjTpinSpVqmCz2YCcjyd3tbvkDx1PV+fQoUO0bduWUqVKsXjx4jx/idGxVDCutp1yQ8eS+xUrVozKlSsDsHLlyhzn98Tveio6vECjRo3w8/PjwoULWXae27FjB0Cur8ls0qRJhuWudn2SP+20cuVKdu7cmeX09DeS3FzfKfmjSJEizl/1dDx5tiVLlnDgwIEsp+t4unL79++ndevWlCpVip9//pmoqKg8r0PHUv5zRzuBjqX8cOjQIT766KNsL50qUqQIAOfPn8/VOj3tu56KDi9QqlQp2rRpA8DixYszTd+5cycHDx6kWLFitG/fPlfr7NatW5brA/j5558zzCc5y492ev755xk9enSW0zds2ABA8+bNryCxuEt2x5PdbmfJkiUZ5hNr9O7dmylTpriclpqayrZt2wAdT3m1e/duWrVqRbVq1ViwYAFFixZ1Ttu0aVOu3+9Ax1J+cmc76Vhyv127dtGvX78sf7RMHz4XoHr16rlap8d91yuQWxDKVVu2bJkBTN26dTPdrr5Pnz4GMK+88kqGx9evX29iY2NN165dMy1z/vx5U7NmTQOY5cuXZ5i2fPlyA5hatWplWk6y5+52atOmjSlZsqRJSEjItK358+cbwAQHB5u9e/e6f2cKEXJxp+sFCxaYatWqmccffzzTtBMnTpgSJUqYkJCQTG0xa9YsA5ibb77Z3bELnattp0qVKpnatWublJSUTNPGjRtnAFOyZMks79wsmW3ZssXExMSYO++80+XzunTp0kx3rtaxVPDc3U46ltwvvQ0GDhzocvqoUaMMYIoUKWIOHz7sfNybvuup6PAiI0eONIC54447zPr1683OnTvNs88+awDToUOHTC+axx9/3PkhvW7dukzr27x5sylevLiJiYkxc+fONfv27TNz5841MTExpnjx4mbz5s0FtWs+xZ3t1LZtWwOYOnXqmC+++MLs3LnT7Ny504wbN84UK1bMhISEmC+//LIgd89nHD161Bw+fNgcPnzY+fyvWbPG+djlOnbs6Jzv2LFjmaYvXrzYhISEmFq1apkff/zR7N2710yZMsUULVrUVK5c2fzzzz8FsVs+x53tVK1aNQOY5s2bm2+//db89ddfZsuWLWbYsGEmMDDQREZGml9//bWgds3rbd682ZQsWdIApkGDBqZRo0aZ/tK/8FxKx1LByo920rHkfr/99psBjM1mM7169TLLli0ze/fuNb/99pvp16+fsdlsJjg42MyePTvDct70XU9Fh5f54YcfTNu2bU1ERIQJCwsz1157rXnnnXfMxYsXM827bNkyU7JkSdO6dWuTnJzscn0HDx40ffr0MeXLlzdBQUGmfPnypk+fPubgwYP5vSs+zV3tdPr0aTNlyhRz9913m0qVKpmgoCATEhJiatSoYfr27Wt27NhRULvkcypVquR8o3b1d7nPPvvMhIeHm27dumW5zu3bt5t7773XlC5d2gQFBZkqVaqYp556ypw8eTIf98S3ubOdjh07Zt577z1z++23m7Jly5rAwEATFhZmrrnmGjNo0CC97+XR22+/nW3bZNVOOpYKVn60k46l/LF+/XozePBg06RJExMVFWX8/f1NWFiYqVu3rhkwYIDZtWtXpmW86buezRhj8nQ9loiIiIiISB6oI7mIiIiIiOQrFR0iIiIiIpKvVHSIiIiIiEi+UtEhIiIiIiL5SkWHiIiIiIjkKxUdIiIiIiKSr1R0iIiIiIhIvlLRISIiIiIi+UpFh4iIiIiI5CsVHSIiIiIikq9UdIiIeIARI0Zgs9mcf9OmTbMkR0pKSoYclStXdst6hw0b5hH7JyIi1lDRISKSgxMnTjBs2DAaN25MREQEQUFBlClThoYNG/LAAw/w8ccfs2PHjqvaxsCBAzl8+DDdu3d3U+orExISwuHDh1mzZo1b1zt48OAc92/kyJEUL16cJUuWuHXb7hQXF5eheLr0b9myZRnmvbzQcnchl1s///wzxYsXZ/To0QW6XRGRS6noEBHJxrZt26hbty5vvfUWnTp14ueff/6/9u4/KKoq7AP4F5B1V5B1QWQFFUUHUcMESUVHMUct0WJSUhRNVkQdkLTStHEcnKkYtT+MGIyYEE0QZkzNfmCWIxWgCYqYSkIjIKGLv0AUQcHlef/wvffdy72LYosU7/OZuTN1ftzznHOvzj3uPffg8uXLOH78ONauXYvTp09j1apVCA0N/UftODg4QK/XQ6PRWCnyZ6fX6+Hq6mrVczo6Oj6xf/v27UNdXR0OHjxo1bataeDAgbJJWUFBAYxGIyZOnCgpK0y03nvvPQBAYGAgjEYjCgsLn2vMhw4dQl1dHTIyMp5ru4wxZq5HVwfAGGP/ZlFRUaipqUFWVhYWLFggyRsxYgRmzpwJPz+/Loque1m/fj2Sk5NhMBi6OhSL7OzsoNfr8eDBAzHN1dUVer1eVtbR0VE8AEClUimW62zLli3DmTNnsHLlyufeNmOMCXjSwRhjFtTX1+PEiRMAgFmzZimW0ev1WLBgAY4dO/Y8Q+uWIiIiEBER0dVhdDtjx47F77//3tVhMMb+n+PXqxhjzILW1lbxv69evWqx3ObNm3HgwAHFvMbGRsTHx2PMmDFwcHCARqOBj48PDAYDsrOzJW20lZeXh5dffhm9e/eGk5MT5syZg9LSUovlKysrsWLFCnh6ekKlUsHV1RXBwcE4evSoxTrnzp1DSEgIdDodHBwcEBAQgD179lgs37dvX4trEyIiIiRrFyorKy2ex9wvv/wiqWc+8cjLy5PlVVdXY9GiRejbty80Gg0CAgKQnZ3d7rgsXrwY/fr1g1qthre3NzZv3ozGxsYuXWthrra2Fh988AFGjhwJjUYDrVaLSZMm4csvv4TJZJKUXb58uWwtyZEjRxAUFAStVitJb69/ltacmB/9+vWTxVpdXY3Vq1dj6NChUKvVcHZ2xvTp0xX/DEyfPl12T6SmpmL06NFQq9Vwc3PDypUrce/ePauOJ2PsX4gYY4xZ5O7uTgAoKCiIampqOlT3+vXrNHr0aLK3t6f4+HgqLS2lixcv0meffUZOTk4EgL755htJnaVLlxIAMhgM9Morr9CpU6eotLSUtm/fTnZ2duTh4UH37t2TtZWbm0tarZZcXV0pPT2dysrK6Oeff6YJEyYQANq6dausTk5ODmk0GtLpdJSWlkYVFRVUWFhIb775JkVGRhIA8vT0lPWpoKBAMe/OnTtkNBppwIABBIAqKipkbQr9S0tLE9MePnxIRqORPv30UwJAS5cuFfOam5slebNnz6ZJkybR999/T+Xl5bR//35ydnYmOzs7KiwslLV38eJFcnFxoZ49e9KOHTvo8uXL9Mcff1B0dDRNnTqVABAAMhqNdOPGDflFtKCiokKsq9RPc3FxceI9pKSsrIwGDRpEjo6OlJSURJcvX6Zz585RdHQ0AaDg4GB6+PChWL6+vp6MRiMFBgYSAFq1ahVNmzaNcnNzqby8nD788EMCQDk5OWQ0Gi1er7i4OJo/fz4ZjUbJUVpaSnq9XvG+OXHiBOl0OnJzc6OMjAyqqKiggoICCg0NJQAUFRUlKV9bWyu5J1asWEFvv/02lZSU0NmzZ2nx4sUEgEJCQp526Blj/1E86WCMsXYkJyeLD5cajYbCw8PpwIEDdPfu3SfWnTVrFgGg7du3y/L27dtHAOjQoUOSdOGhXKfTUUNDgyRv7ty5BID27t0rSa+rqyM3NzcCQCdPnpTkNTU1Uf/+/cnW1pYKCgrE9MbGRvLw8CAAdPjwYUkdk8lEfn5+ig+qRP/3wK2UR0Tk6enZoUmHIC0tTTbpaJsHgPLz8yV5CQkJBIAiIyNl9fz9/QkAJSQkyPJCQkLEc3aUtSYdjx49Il9fXwJAmZmZsvzw8HACQOvXr5flBQUFEQDy8PCgpqYmSZ63t7c4TpauV1xcnOJYL1y4kADQ9OnTqbW1VUy/c+cO9e/fnwDQiRMnJHVMJhNNnjyZAFBSUpLsnMI9MWPGDEl6S0sLubq6EgCqqqqS1WOMdR/8ehVjjLVj5cqVSEpKgrOzM5qampCRkYF58+bBxcUF06ZNw86dO3H37l1ZvaKiIhw5cgT29vZYtWqVLD80NBTu7u6wt7dXbHf+/PlwcHCQpI0fPx4AUFxcLElPTU3F9evXERgYiAkTJkjy1Go1IiIi0Nraip07d4rpX3/9Na5evQoPDw+8/vrrkjq2traIiYmxPChdaPjw4bKvRFkal9zcXBQVFUGlUiEyMlJ2rtjYWKvENGrUKMmi8bZHfHy8xbqHDx/G+fPnxbVBbb3zzjsAgMTERNTV1SmeIyoqCmq1WpJWWloqG6e2VqxYgS1btkjS0tLSkJmZCVdXV+zduxc2NjZiXmpqKoxGI8aNG4fAwEBJPVtbW6xZswbA4z1nLL02uGzZMsn/9+jRA2PHjgXw+FU/xlj3xZMOxhh7gujoaPz9999IT09HaGgo+vTpg5aWFuTk5CAmJgZDhw7Fd999J6nz008/AQB8fHzQu3dv2Tnt7e1x9epVzJ49W7HNYcOGydKcnZ0BQPbwKbQVEBCgeC4vLy8AQH5+vpj266+/AoD4wNfWiBEjFNO7WkfGReijj4+PbAIHWK+P2dnZKC4utngoTToF5tfO/AFfMGbMGKhUKjx48AC//fab4jmetR/u7u6SdR5lZWWIjY0VN29s+6UtIdZx48Ypnk9INxqNOH/+vGKZjlw/xlj3wl+vYoyxp9CrVy+Eh4cjPDwcJpMJ+fn5yMrKwp49e3Dr1i2EhYWhpKQEnp6eAIArV64AwDPvd+Hi4iJL69Hj8V/ZbRcWV1VVAQC++OIL7Nq1S1ZPKG++GL66urrd+Lri065PQ2lchF+L2o7L8+qjp6dnu4vQhYdqJcJ9orRgG3j8iV4XFxcYjUaxbFvW2FOlubkZYWFhuH//PtauXYvg4OAOx+rm5iYp++KLL8rKdOT6Mca6F550MMZYB9nZ2WHKlCmYMmUK1q1bh4CAANTV1SEzMxMbN260ShtK/+r9JDExMYiOju7QOYmow+08SWecU/As49KZ8fwbPMuYtPX+++/j7Nmz8PPzw7Zt26wQlTJrxMoY+2/i16sYY6wd8fHxOHXqlMV8Ly8vhIWFAYDkE7HCLx43b97s1PjM2yIiDBs2zOIxdOhQsc6AAQPaja+mpsZie3Z2dgAs/8v0rVu3nqkf1vZP+vi8CNfu+vXrivkmkwm3b9+WlLW2H374AQkJCXBwcEBWVhZUKtUzxWqe3lmxMsb+u3jSwRhj7UhJSWl3DwgA4iJe89dcZs6cCQC4dOmS4h4ETU1NePXVV5GSkvKPYxTaKigoUMwnIsyYMQPr1q0T04KCggAAZ86cUazz559/WmxPq9UCUH4H32g0orGx8ekC72RCH0tLS9HQ0CDLb6+Pz4tw7QoLCxUXXxcXF6O5uRlqtRpTpkyxevvXrl0T90VJTEyEt7e3JH/37t3i2AmxWpqEC/df//794evra/VYGWP/bTzpYIyxJ/jqq69QX1+vmNfQ0IBDhw7BxsYGb7zxhpju7++PWbNmoaWlBcnJybJ6u3fvxtGjR+Hn5/eP44uMjIRer8fJkyfFHdTNZWRk4NixY5g6daqYFhoaCg8PD1y7dg3ffvutpHxrayuSkpIstufk5IQhQ4bg/v37uHTpkiRPaU1JV5k8eTL8/f3R3NysGFdiYmIXRCUVEhKCF154ATdu3EBmZqYsf8eOHQCA1atXQ6fTWbXt1tZWLFmyRFyTZDAYZGUMBoP4y5Vwn50+fRp5eXmycyUkJAAANm3aBFtbfrxgjEnx3wqMMdYOYRflCRMmIC0tDSUlJaiurkZRURFSUlIQEBCAyspKbNmyBf7+/pK6u3fvhq+vLzZt2oRt27bhr7/+QklJCT755BO8++672LBhA1566SUAj3/5qKmpQVNTEwCgvr4eNTU1MJlMMJlMqKmpESc+bctqtVocPHgQWq0WISEhSE1NRXl5OS5cuID4+HhERUUhNjYWc+bMEWPTaDRIT0+HRqNBREQE9uzZgytXruDMmTMICwuDk5MTAIht19bWSvomrB2JiIhAfn4+Kisr8fnnn6OoqAiDBg0C8Pi1JuEVpoaGBsX+NTU1obm5WbF/DQ0NT+z7zZs3xden2pYFgL1798LFxQUbNmxAQkKCOC6rV69ud4G3JUIb5q9sCf1sbm6WlBX6LPxSIPTTvK6dnR0OHDiAgQMHip9nLi8vx/nz5xETE4OMjAwEBwfj448/lp1XaK+2tlbWb4F5e22v5datW3H8+HHodDrExsbiwoULssOccJ/pdDrMmzcPGRkZuHLlCk6fPo2wsDDk5uZi+fLlks8tm9/HwlgJ8bR3zzPGuqEu3SWEMcb+5a5du0bJycm0cOFCGjVqFDk5OZGtrS316tWLvL296a233qK8vDyL9RsaGuijjz4iX19f0mg05OzsTBMnTqSsrCzJxmvmm9+ZHxUVFZKN6MyPthvsVVVVUXR0NA0ePJhUKhXp9XqaOnUq7d+/X9KWueLiYnrttddIq9WSWq2mkSNH0tatW6msrEzS1vjx4yX1Wltbadu2beTl5UX29vY0YMAA2rBhAz148EDcCE44WlpaxA3ylPqQk5OjmBcXF/fEvrdtCwqbC5aXl9OiRYvEncl9fHxo+/bt1NLSQgDIxsbmqe8HS/Hgf3cAN2epz0qbKt6+fZs2btxIw4cPp549e1Lv3r0pMDCQUlJS6NGjR091XqWN/pTKCZsUDh482GJf2t6D5qqqqigmJoaGDBlCKpWK+vTpQ9OmTaP9+/fL2hc2g1Tqf3v3PGOs+7Eh6uaf9WCMMcYU3Lt3D05OTtDpdLJfchhjjFkXv17FGGOs28rLy8OPP/6omFdSUgIAivtJMMYYsy6edDDGGOu2jh07hjVr1qClpUWWJ3w5TGkBNWOMMeviSQdjjLFuraysDHPnzkVubi6qqqpQVFSEmJgY7Nq1C2FhYViyZElXh8gYY90er+lgjDHWbVVVVSE9PR3Z2dmorKzEzZs3oVarMXr0aBgMBhgMBt4lmzHGngOedDDGGGOMMcY6Fb9exRhjjDHGGOtUPOlgjDHGGGOMdSqedDDGGGOMMcY6FU86GGOMMcYYY52KJx2MMcYYY4yxTsWTDsYYY4wxxlin4kkHY4wxxhhjrFPxpIMxxhhjjDHWqf4H/4RTBjeIByQAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='PV',\n", - " location='place', fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV schedule](plots/sch_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='WF',\n", - " location='place', fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![WF schedule](plots/sch_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='LiI',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI schedule](plots/sch_lii.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='LiI_discharge',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI charging schedule](plots/sch_lii_charge.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='Inv', component='LiI_Power_stored',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI discharging schedule](plots/sch_lii_dcharge.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.CAPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Capex](plots/capex.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAswAAAI6CAYAAAAzGh4eAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABg/ElEQVR4nO3deVhV1eL/8c9hFBRQFMR5TA2rqyk5VFo5pWmpWd2yci5tsNIy7Xav2axem5TqWjlEg5liZilqDmVaOWVOpWXiCEKm4IjKWb8//HG+HDlnczgMR/D9eh6eB85ea6+1z7D5sFl7LZsxxggAAACAS36+7gAAAABwMSMwAwAAABYIzAAAAIAFAjMAAABggcAMAAAAWCAwAwAAABYIzAAAAIAFAjMAAABggcAMAAAAWCAw46L23HPPyWazWX75+fmpUqVKat26tV555RVlZGT4utsoYT/99JOqV6+uuLg4HT161Nfd8UhycnK+722rrxtuuMFy/8eOHVN8fLy6deum2rVrKyQkRJUqVdLll1+uQYMG6auvvlJ+C73ecMMN+fYjICBAVatW1c0336yEhARlZ2fn2c/NN9/s9XHWrVvXsZ/+/ftblk1OTnaUXblypUflcOlw9fuE9wI8ZWNpbFzMNm/erM2bN0uS7rvvPknS9ddfrwceeMBR5uTJk1q3bp0SEhKUlZWl2rVr68svv9Q//vEPn/QZJe+RRx5RfHy8JGnOnDm6/fbbfdyj/J04cULz5s2TJE2dOlWrVq2SJCUkJORb94knnlDTpk21cuVKl9s//PBDPfnkk0pPT1ebNm3UpUsXVa9eXadPn9aOHTs0b948HTx4UK1atdLUqVN11VVXudzP0qVLdejQIf366696+eWXJUkPPPCArr/+ekeZI0eOaPHixfr6668lSe3bt9cXX3yhihUrOsosX75cBw8etNyPKy+99JJOnTrlCDU//PCDdu3apZ9++klTpkyRJAUHB2vKlCkqV66cevXqpfLly0uSDh06pKVLl+rcuXN69NFHVbt2bY0ZM0aSnMqVVStXrtTKlStVsWJFPf744/RF//f7JPf7cPfu3U5/lAFuGaCUkGQkmX79+rncvnHjRlO+fHkjydSoUcP8/fffJdtB+MyaNWtMTEyMad68uTl8+LCvu1Ng/fr1c7y/PVGnTh3Tvn17l9vGjBljJJmoqCizePFil2VOnz5tnnrqKSPJhIeHm2XLllm2t2LFCkf/pk+f7rLM1KlTHWW6devm9X5ya9++valTp06ex8+ePWuuvPJKx77+/e9/u93Hf//7X2Oz2cyqVavyba8sGTt2rJHk8vm7lPtijPP7cPfu3b7uDkoJhmSgzGjevLlGjRolSTpw4IDefPNNH/cIJaVNmzZKSUnRxo0bFRkZ6evu+MzUqVP1yiuvKDg4WIsWLVLnzp1dlgsODtaECRM0cuRIZWZmqmfPntq1a1eh2h4yZIhuvPFGSdLChQvdXv0uCgEBAXr33Xdls9kkSRMmTNDOnTvzlNu/f7+ee+45DRgwQNddd12x9QdA2UdgRpnSu3dvx/fz58/3YU+A4jNs2DDdc889To/t2rVLw4cPlyQ9+uijatGiRb77efHFF1WzZk0dO3ZM999/f6H7VdSfv3vuuUfDhg1zua1t27YaMGCAJCkrK0sPP/xwnjKPPfaYypUrpwkTJhS6LwAubQRmlCkNGjRwfF/YK2bAxerpp592GscvnR/vm5WVJel8YPZEuXLlNGTIEEnSmjVrtHz58kL1q6g/fw888ICefvppt9snTJigypUrS5K++eYbffLJJ45tCxcuVGJioiZOnOgoAwDeIjCjTPH393d8f/bsWcf3F94Z3b9/f0nSxx9/rHbt2qly5cqWsw9s3bpVgwcPVv369R2zDVxzzTV69dVXdeLEiXz7tXfvXj3++OO6/PLLVb58eYWEhKh+/frq06ePpk2bpszMTLd1d+3apWHDhqlhw4YKCQlRRESEmjVrpjFjxujQoUNu650+fVoTJ05Uq1atFBERocDAQFWvXl233HKLJk+erPT0dJf1Dhw44OhraGioypUrp4YNG6pv376aNWuWTp8+ne/x5uZuZoOc1yDH/v37ZbPZVL9+fY/2MWPGDJczIcyYMaPIjyszM1PPP/+8mjdvrvDwcIWGhqphw4YaNGiQfvnllwI9H96aMWOGbDaby6EOJ0+e1McffyxJatasmWrXru3xfm+77TbH9++9916h+uju81cQOa+pu9cxt8qVK+vVV191/Dxy5EhlZGTo1KlTeuSRR9SuXbs877PC2LZtm4YMGaIGDRooJCRE5cuXV+PGjXXvvfdq1qxZjj9YXCnMOWT27Nnq0qWLoqKiFBgYqMjISF1//fV67rnntH37dqeyOZ+VcePGSZL27Nnj8WfEnWPHjmnatGnq3bu36tatq+DgYFWoUEFNmzbViBEjtH//fpf1irIv7ma42Lhxo+6++27VqFFDwcHBql69uu677z6XQ3QKYv369Ro1apSuueYaVaxYUUFBQapataq6du2q2bNne7SPEydOaPz48WrVqpUqVaqkoKAgVatWTZ07d9aECRO0Z88et3UvhnMOLuDrQdSAp5TPTX/GGJOcnOwo17BhQ8fjCQkJJiEhwTRp0sSxj4cfftg0atTIvPzyy+Z///ufueWWW4ykPDdTTZo0yfj7+5uAgAAzcOBAM3XqVDNp0iRzzTXXGEmmVq1aZuvWrW779Nlnn5ly5coZSeb22283b7/9tnn99dfNfffdZ/z9/Y0kExYWZv744488dRMSEkxQUJAJCAgwAwYMMO+995558803TceOHY0kExERYZYvX56nXkZGhmnWrJmRZK699lozYcIE895775l//etfpnr16kaSCQoKMgcOHHCqt2nTJlOpUiXj7+9v7rrrLvPGG2+Yd955xwwbNsyEhIQYSaZp06Zuj9WVNWvWmJkzZ5rAwEAjyfTp08ckJCSYNWvWOJWLj493vHZbtmzJs4+EhARz5ZVXmssvv9wkJCSYXbt2mdTUVMdrK4ubyQpzXJs2bTLVqlUzkkynTp3M5MmTzdSpU03//v1NQECAsdls5r///W+BnpMLeXLT3/Tp040ks2LFijzbFi9e7Kjfv3//ArV95swZx2tTrVo1l2U8vVlvxowZjnKDBw/2aj85ZTy5KdAYY+x2u2nbtq1jvw8//LB55plnTGBgoNm2bZtH+/DEa6+95jgPDBgwwPzvf/8zEydOND179nS0HRUVZY4fP56nbmHOIQMHDjSSTP369c1//vMf895775mXX37ZtGzZ0tHu7NmzHeVzPiu9evUykkyVKlUcn5Gcr127dhXo2HPOJRUqVDDDhw837777rnnppZdMu3btjCRTsWJFlzdVFmVffvnlF5OQkGCeeeYZx3G//vrrJjg42Nx7773mf//7n3n99ddNq1atjCQTEhJilixZ4nJf+d3098UXXzi2t23b1owfP9688847Zvjw4SYsLMxIMnfeeafJzs52298tW7aY2rVrG0kmLi7O/Pe//zXvvPOOeeKJJ0zFihWNJOPv728++eSTPHVL4pyDgiMwo9TwJDBPmzbNUe7BBx/Ms719+/aOWTSuv/56c+rUKce27Oxs06hRI6fAnBNS/P39TVJSktO+srOzzf33328kmapVq5pDhw7laW/ZsmXGz8/PSDIffPBBnu2rV682wcHBRpL5+eefnbYtWbLE2Gw24+fn53K2g2effdYRmpOTk522jR492kgyPXr0yFMvMzPTXH755S5/WbRu3dpIcnky3rx5swkJCfH6TvcOHToYSaZjx44ut3fp0sXx2r300kt5tmdlZZmwsDDz3HPPuaxvFcS8Pa6UlBQTFRVlJJlnn302z/bFixc7Xt958+a57Jcncgfm9PR0l1+TJ092G5hfeeUVy+cuPw0bNnTUT0lJybPd08Cc83mQZD799FPL/UyePNnlceaEFU8DszHnA0bOH59+fn4mMDDQjBkzxuP6+ck5DwQEBLj8LM6ZM8dxXEeOHHFZ15tzSFJSkpFkatasaY4ePeq0zW63m/vuu8/tc1WUM1M0bdrUhIWFme3bt7ttp2rVqi7/WCjqvuR+DwUEBJjExESn7dnZ2ebuu+92XIjYu3ev5T5cBebPP//c7R99+/fvd4RZd6E1NTXVVK1a1fEH7IXBOjU11TRo0MAR+nMrqXMOCo7AjFIjv8CckZHh+MUfHBxsdu7cmadMTmCWZDZv3pxne3x8vHnllVcc+wsPD7e8anf06FETERFhJJkBAwY4bTt37pypX7++kWQ6dOjg9riGDh2aJzCfO3fO1KtXz0gy999/v8t6Z8+eNTVq1DCSzJAhQ5y2NW/e3BFKXHnvvffy/LI4evSo2yu8Ofr27ev1L73XX3/dSDKBgYEmMzPTaduxY8dMcHCw42pvq1at8tRfsmSJkWQ2bNjgcv/uAl1hjisnkNSrV8+cO3fOZd0777zTSDKNGzc2drvdZZn85A7M+X25CswjRoxwCqIFdfXVV1s+R54E5p9//tkEBQUZSaZRo0bm7NmzlvvJ76sggdkYY5544glH3XLlypljx44VqL47R48edZwHBg0a5LbczTffnCcwF/YcknNMt99+u8u6v//+e4kF5mHDhrncdu7cOceV1Pfff99lmeIKzK4uCBhjTFpamuO/eq5+X3gSmP38/Fz+8WjM/02hWLNmTZfbcz7PlSpVynOuyzFr1iyXgbmkzjkoOMYwo9TJysrSX3/95fjat2+fEhMTdd111+mPP/5QQECApk2bpssuu8ztPho1aqQrr7wyz+MPPfSQRo8eLUn66KOPHGOL+/bt63I/ERERuuWWWySdHw+de5W5pKQk/fnnn5KUZ0aD3Hr27KnKlSsrICDAqe7u3bslSXfddZfLegEBAerQoYMk6bPPPpPdbndsy1lt7fvvv3dZt3fv3lq6dKliYmIcj+Wu767euHHjHGNlC6pHjx6Szo9tXbx4sdO2pKQknTlzxnGD19q1a/OMz/7yyy9Vo0YNXX311QVq19vjOnLkiGbNmiVJ6tOnj9P43NxuvvlmSdKOHTu0cePGAvXNlaVLl7r8euqpp9zWyT0GPjQ0tMBt5q6T30qZx48fd/r8/fHHH4qPj1fHjh115swZRUdHa+7cuU7vZ1eeeuopl8f53//+t8D9l86/hhUqVJB0fvz+hx9+6NV+LpT7PGD1Ob799ttVuXJl+fn936/Vwp5Dcj7HGzZs0KlTp/LUbdCggZYuXaouXboU7KAKaMmSJRo/frzLbf7+/mrWrJkkORbfKSl9+vRx+XhUVJRuuukmSefHf588ebJA++3WrZuSk5Odzo+5tWzZUtL5+y4uXCnwyJEj+vTTTyVJ3bt3V1hYmNs2oqKiFBIS4lTXF+cceIbAjFJn1qxZioqKcnzVrl1bt99+u7Zt26abbrpJq1atsvzFJkmXX355vu3knjHAaoqunG1nzpzRmjVrHI+vWLHC8b1VyOvSpYv++usvXXHFFS7r1qxZ0ymg5P6qVKmSpPOBKfdNLtdee62k80G6T58++umnn5zajIyMVMeOHVWuXDnHYznLJkvnp+MaNWqUI7TnaNCggWPfBdWgQQPH/hcsWOC07csvv1RcXJwGDx4sSTLG6KuvvnIqs2DBAnXv3r3A7Xp7XKtXr3bcuFavXj23r0FOSJOkdevWFbh/F+rYsaPLr9jYWLd1wsPDHd+7Clb5yV0nIiLCsuyjjz7q9Pm77LLL9Mgjj+jkyZPq16+fNmzY4PRedic2NtblcXoyHZ4rCxcu1PHjxx0/P/vss25vbC0ITz/HgwcP1l9//eX0WhT2HJLznkxOTta1116refPm5bmZuWPHjqpWrVoBjqjgqlev7hT8jh8/rsOHDzs+Azl/cKWmphZrPy7UtGlTt9tyQvypU6cKHCpDQ0NVq1Ytx89nz57VkSNHHMeb24XHvHr1ap05c0aS9fslLCxMaWlpevDBB53q+uKcA89YXwIALkKdO3d2utpms9kUHh6uyy67zGk5Xiu5f6m5kzMtVs4d7e7UqFEjT50Lv69evbpH/XJV19Mlvg8dOqQmTZpIOn9H+apVq7R161bNnTtXc+fOVb169dSrVy/16dNHbdq0cbmP9957Tz169NCRI0c0ceJETZw4UXFxcerVq5fuvPNOp2nDchw4cMBlSAsMDFSdOnWcHuvRo4d+/fVXLVy4UHa7XX5+fsrOztbChQv1+OOPO64gb9y4UV9++aUGDRokSdqyZYv27NnjuEpdUN4cV+7X4KGHHtJDDz2UbztWs5YUp6ioKMf3+V0hdiX3Ferc+3LlqaeecloQxd/fX5GRkbr88ssVFBRU4LaLwtGjR/X4448rNjZWWVlZ2rVrl44cOaKnn35a06ZNK9S+c58HPD2/uKrrzTnkjjvuUGJioj777DP9/PPP6t27typVqqTu3bvr9ttvV9euXUvkOTfGKCEhQdOnT9e6devczupR0Bl0Csvq9ch9zt2zZ0+BF65JTk7WxIkTtWjRojx/YOd24TEX1Xn/Yj/nXIoIzCh1qlWrpo4dOxZqH7n/bepOztWq3FdhXcm9PXfwyH21K799uGtbOr8AhCf/Zs99VS86Olpr167VO++8o3feeUd//PGHdu/erddee02vvfaarrjiCr3++ut5nsdrr71Wmzdv1uuvv64ZM2bo77//1rp167Ru3To988wz6tatm9566y2ngNm3b199++23efpTp06dPP+u7NGjhyZMmKC//vpLP/zwg6699lqtXr1ahw8f1q233irp/L8xN27cqG+++UanTp1SSEiIFixYoNDQUMcQlILy5rhyvwbPP/+82z8ycqtbt65X/fNE//793U6R1rx5c8f3f/zxR4H2e+7cOcfrVKtWLVWtWtWyfM6V4eJyww03yBhToDqjR49WWlqa5s2bp+PHj6tTp06Szk/FN2TIEI9eO3c8PQ8Upq67c4jNZtOsWbPUp08fvfXWW1q1apWOHDmihIQEJSQkKDo6Ws8++6zH825749y5c+rdu7cWLFigwMBADRw4UG3btlW1atUcKy1OnDhRS5YsKbY+uONuyILk/Jzm/ix7Yvny5erRo4dOnjyp2NhYvf7666pfv77jPHzo0CHde++9LusW1Xn/YjjnwBmBGXAj51+Q+V01yb0997+zc/8L8/Tp0x5d1XZV95prrnE7ls5KSEiIRowYoREjRmjt2rX67LPP9PHHH+vQoUPaunWrunTpoqSkJEe4yFGzZk1NmjRJr776qpYsWaJPP/1UiYmJOnXqlBYuXKi1a9dq69at+QYrV9q0aaPKlSvr8OHDWrBgga699lrNnz9ftWvX1lVXXSXpfKh+/vnndfLkSX3zzTfq0aOHFixYoE6dOnkVWrw9rtyvwWWXXVasIbGwrrvuOgUGBurs2bPatGlTgepu377d8W/gnHGfpcnq1as1depUDR8+XK1bt5Yk3Xvvvfroo49kjNFDDz2k9evXW4YrK56eBwpT1905JEefPn3Up08fJScn67PPPlNCQoK2bdumtLQ0DR8+XOnp6Xr++ecL3D9PxMfHO4ZQffrpp7r99tvzlPnoo4+Kpe385IzxdiX3c5p7CEN+srKy1LdvX508eVLNmzfXTz/9pMDAQKcyF14IyO3C835BlKZzzqWIMcyAGw0bNpR0fgxc7htxLnTgwAHH97mvUObUl6SDBw961bZ0ftGTwrrmmms0adIk7d27VxMnTpTNZpPdbtezzz7rtk5gYKBuueUWffTRR9q7d6/jpqW//vpLr732mqPcypUrZc7PuOP05eqXir+/v7p27SpJjjHKCxYscBpq0aJFC8eYzAULFigtLU1r1671ejiGt8dV1K9BcSpfvrzjODZt2uR2IQlXci9hnXs8ZWlw9uxZPfjgg6pTp45eeuklx+Ovv/66Y3W/TZs26e233/a6DU/PA4Wp6+4ccqG6devq6aef1tatW/XVV18pMjJSkvTqq696NRTHE59//rmk88MLXIVlX7J6TnOfc+vVq+fxPletWuUYlzxs2LA8YTk/F9N5H0WLwAy4ceONNzq+37Bhg9tyOTeUBAUFqW3btgWuv2zZMvXp00cJCQku6154w15uWVlZqly5sipXrux0M9CkSZPyzESR08cnn3zScXf51q1bHduOHj2qZ5991uUKWVWqVNH06dMdY/Jy1yuonOC7bds2LVy4UL///rtTGLbZbI6b+7766istWLBAxhjHTAIF5e1xtW3b1jE+1Oo1kM7f8R4QEODTG3CeffZZBQcHyxijKVOmeFTn9OnTev/99yWdv/m0MEMXisMnn3yi7t27Ky0tzeX2CRMmaNu2bZo6darKly/veLxKlSpOs238+9//druP/Hj6Of7000/Vp08fp89dYc8hiYmJevfdd13WueWWW/TCCy9IOv+Hw4Xv75zhEoWV87zlHmd9ofyGPBRVXy504SqHuf3888+Szt/Al3vIUn5yv0/cHbPV8eY+b1i95qmpqerTp49jVqYL65aGc86lhsAMuNG3b1/Hv0c/+eQTl2UyMzMdV0rvvfdep3+ndunSxXG1yF19SZoyZYrmzp3rdKd77rozZ850W3fOnDn6+++/1bt3b6crIZMnT3YEIVdy2sp908zRo0f10ksvaenSpS7rBAYGqkqVKnnqFVSXLl0cfX300UcVFhbmFCyk/wvVKSkpevnllxUXF+fVsBTJ++OqWLGi46ptUlKS25tr9uzZoyVLlqhBgwaO6aZ8oUGDBpo8ebIk6c0333QEBitjx47V3r17Va1aNU2fPr24u1hgO3fu1Ndff+1yWrA//vhDL774ovr3759nWJF0fsx3zhCTjIwMy2n5rHhyHpDOh/fExESnq5mFPYd8+eWX+s9//uO2zdznjAs/kznjbS9covzOO+90DH/yRE4bu3btcpqiMYcxJt9hQEXVlwvNnTvX5ePp6emO2U3uuusup6nb8pP7OXW3vLbVrBu5zxtfffWV05j03D777LM80y+WtnPOJcc30z8DBad8Fi7xRM7CJZ7uI2ep34CAgDzLrGZnZ5sBAwa4XaXLGOeV/lwtLpCzolSbNm0s677wwgt5tu/YscNUrlzZhIWF5Vnpr06dOiYoKMisW7cuT72///7bsSjKY4895nh89+7dRjq/BO+Fq5UZY8y6detMQEBAkawwlbPqn9wsynDy5EnHIibujv9COWUvfJ4Lc1y5V+y65ZZbzOnTp522Z2ZmOpZlnjt3br59dMeTpbE9lbMCZNWqVc3SpUtdlsnKynKsBhkVFeXyfZKbpyv95aeg+8lZ8MLV4hIdOnQwMTEx5u+//3Zbf+fOnY4FLGw2m8vlmz2R+zzg6jmdOHGikWT++c9/WtYt6Dkk533x5ptv5tmv3W53LDn9j3/8I8/2efPmOdrNWdH09OnTplKlSqZRo0YeH/ubb77peM1efvllt8cuyWmV1OLoizHO76Ho6Ggzf/58p+2FXenv9OnTjpX8atSoYdLS0py2p6Wlmbp161ouJJT7vDFgwIA8K/3t3LnTVKxY0VSsWDHP4igldc5BwXHTHy5qmzdv1ubNm50e+/PPPx03mTRo0MCjfyN/8cUXOn78uOMv9tz7uOqqq9xe5ejXr58OHz6sUaNGqVu3burXr59at26t48ePa9asWfrpp59Uq1YtLVy4UNHR0Xnq33TTTfrkk0/Uv39/DRgwQAsXLtRNN92krKwsff/995o7d67q16/vmKzeXd1///vfWr58uW677TYFBQVp8+bNmjFjhgIDAzVnzpw807eFhYVpz549uvbaa3X33XerWbNmKl++vHbv3q2EhATt379fbdu2dfxLVzr/7+Dg4GD9+eefatiwofr166fLLrtM2dnZ2rJliz766COdO3dOjzzyiHr27Jnvc26lR48eWrZsmeP7C4WEhKhDhw6OK2/uxi8fOnQoz5XjH374QQEBAapatao6depUqOOqWrWqvvnmG3Xr1k1ff/21rrrqKt13332KiYnRrl27NHPmTKWmpuqll15S7969C/QcnDhxQvPmzZMkxwI3kvMNVL169XIaauCJF154QY0bN9bIkSPVqVMntW3bVl26dFH16tV1+vRp7dixQ/PmzdOBAwd0ww03aNq0aW7HeC5dulSHDh3Sr7/+6ngs5/mVzv8LuX79+vn2ae7cudq9e7fTtFlJSUl55rS9UO45iXPa3rVrl3799VctW7ZMffv21ddff+14rV2Vbdu2rZYvXy5jjIYNG+ZYHKcgz23u80DXrl11//33q3Xr1srIyNDSpUu1ZMkStWzZUu+8845l3YKeQ3JuAnvsscf09ddf68Ybb1RUVJTS0tKUmJio9evXKyYmxuViQp06dVLVqlUdMzp07txZ8+fP15EjRzRq1CiPjls6P473q6++0tKlS/XMM8/o+++/V8eOHWWz2fTNN99o6dKlqlu3rpKTk3Xo0CF99NFHqlChgtNnqaj6cqGpU6dq0KBB6tatm6677jqdPHlSs2bN0o8//qiQkBDNmTPHaT7lnN8nud/PX3zxhapUqeL4PRAcHKxp06apZ8+eOnDggGJjYzV48GDVq1dPu3fv1gcffOA0ReDSpUsd59Ocz0Lu88b06dO1fft23XXXXQoNDdXWrVsdUx3Omzcvz3/OivOcg0LydWIHrORcYXL35emV4jp16rjdx9ixY/Otv2XLFjNo0CBTt25dExwcbMLDw03Lli3Nyy+/7NESvMnJyWb48OGmcePGJjQ01JQrV85cccUV5j//+Y/JyMgocN0mTZqYxx57zOzZs8dlndOnT5tZs2aZvn37miZNmpjQ0FDj7+9vKleubG666SYzdepUl0sXp6enm8mTJ5vu3bub2rVrm+DgYBMUFGRq1qxpbr/9drN48eJ8j9UTu3btMpKMn59fnis4Of73v/8ZSaZ27dpu92O11HLuq12FPa5jx46ZV155xcTFxZnw8HATGBhoatasae6++27zww8/ePUc5Fz5tvpydWXVU5mZmWbKlCmma9euplatWo73bePGjc2QIUPyXO10JfdS8q6+PL3a3KVLl3yP1ZPnwd0S4q6ubOa33Lg3z+3WrVvNoEGDTL169UxwcLApX768admypfnvf/9rsrKyLOt6ew5ZsWKFefTRR83VV19tKlasaPz9/U1YWJhp0aKFGTt2rDl8+LDbur/88ovp0qWLCQ8PNyEhIaZp06Zm8uTJea545ufs2bPmjTfeMC1btjShoaEmKCjI1KlTx9x///1m8+bNeZ5rV0tgF1VfLrw6/Oeff5pBgwaZ2rVrm6CgIBMTE2Puvfdes2PHjjx1rX6fXPh7YMuWLaZv376mWrVqJiAgwERERJg2bdqYt956y+zYscOjz4Kr80bdunXNkCFDzO+//255nMVxzkHh2Iwp4ISXAAAAPrBy5UrHPQ+7d+9mHmKUGG76AwAAACwQmAEAAAALBGYAAADAArNkAACAi5onM1wAxYnADAAALmqJiYkaN26c02NPPPGEpPML8BCYUdyYJQMAAACwwBXmYmK323Xw4EGFhYXJZrP5ujsAAAC4gDFGx44dU/Xq1eXn5/7WPgKzCwsXLtQLL7yg48ePKzs7W40bN9arr76qxo0be7yPgwcPOq0wBAAAgIvTvn37VLNmTbfbCcwX+OGHH3TrrbcqPj5eDz74oM6dO6f+/furU6dO2rp1q8LDwz3aT86Spvv27fO4Dkofu92u9PR0RUVFWf5lCgAoXTi/XxoyMzNVq1YtR25zh8B8gcTERJUvX14PPvigJCkgIEAjR47Uxx9/rDVr1ujmm2/2aD85wzDCw8MJzGWY3W7X6dOnFR4ezgkVAMoQzu+XlvyGz5a6d8CaNWvUuHFj2Ww2JScnF/n+/f39ZbfblfteyHPnzkmSsrOzi7w9AAAAXNxKTWA+deqURo4cqXbt2mnnzp0FqpuUlKROnTopMjJS5cuX19VXX60pU6bIbrfnKfvAAw8oJCREL7/8sux2u06cOKEXX3xRjRs3VocOHYrqcAAAAFBKlIrAvGvXLjVr1kxz587VokWLClR3/Pjx6tq1q8qVK6elS5fq559/VqdOnfToo4+qZ8+ejqvHOerXr6+kpCR99NFHioqKUuXKlWW327V69WqVK1euKA8LAAAApUCpCMzbtm1Thw4dtHXrVnXq1MnjeqtWrdLo0aMVGxurxMREtWjRQo0aNdL48eM1ZMgQLViwQOPHj3eqs2LFCrVv316PPPKI0tLS9Pfff6tixYrq3r27MjIyivrQAAAAcJErFQuXZGdny9/f3/FzzsDs3bt3q27dum7rdejQQcuXL9c777yjoUOHOm3bsWOHmjRpovDwcKWmpiokJESS1KJFC9lsNq1fv95RNiMjQ5GRkXrmmWf0wgsveNTnzMxMRUREKCMjg5v+yjC73a60tDRFR0dzUwgAlCGc3y8Nnua1UvEOyB2WPZWenq6VK1dKksuxx40bN1bNmjWVmZnpNMzjt99+U8OGDZ3KRkREKCoqSj///HOB+wEAAIDSrcxOK7d+/XrZ7XYFBgaqQYMGLss0adJE+/fv17p169S7d29JUu3atbVv3z6ncidPntRff/1lOaF1VlaWsrKyHD9nZmZKOv8XqqubC1E25MyowmsMAGUL5/dLg6evb5kNzLt27ZIkywnHq1Wr5lRWkh5++GE9+uijmjt3rm6//XbZ7XY988wzstlsGjRokNv2XnnlFY0bNy7P4+np6Tp9+nRhDgUXMbvdroyMDBlj+JcdAJQhnN8vDceOHfOoXJkNzDlXeHPGJrsSGhoqSU438z388MMKDQ3Vyy+/rLFjxyo7O1vVq1fX0qVLFRcX53ZfY8aM0YgRI5zar1WrlqKiohjDXIbZ7XbZbDZWggKAMobz+6XB0xnQymxg9pbNZtPAgQM1cODAAtULDg5WcHBwnsf9/Pz4oJVxNpuN1xkAyiDO72Wfp69tmX0H5FzVPXXqlNsyJ0+elHT+pj4AAADAlTIbmHNu9EtPT3c7oDslJcWpLAAAAHChMhuYW7RoIT8/P509e9bppr7cfvvtN0myHJsMAACAS1uZDczR0dFq3769JGnZsmV5tu/YsUP79+9XWFiYbr755pLuHgAAAEqJMhuYJWns2LGSpClTpujcuXNO2yZNmiRJeuqppxyzZQAAAAAXKjWBOT09XampqUpNTbV8LLf27dvrpZde0rZt29SrVy9t3LhRO3fu1OjRo/Xee++pW7duGjNmTJH2Mz4+XrGxsQzzAAAAKCNsxhjj6054om7dutqzZ4/b7VaHsWjRIk2aNEnr16/X2bNn1ahRIw0YMEAPP/ywV8tue8LTtclRutntdqWlpSk6OppphwCgDOH8fmnwNK+VmnmYk5OTva7btWtXde3ateg6AwAAgEtGqQnMyJ/N5useXIr8JMX4uhOXpNLxvzEAQFnA/xgAAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwTmIsbCJQAAAGVLqVm4pLTxxcIlTCuHSwlnLgDFiYVLLg2e5jXeAQAAAIAFAjMAAABggcAMAAAAWCAwAwAAABYIzAAAAIAFAjMAAABggcAMAAAAWCAwAwAAABYIzEWMlf4AAADKFlb6Kyas9AcUL85cAIoTK/1dGljpDwAAACgCBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoG5iMXHxys2NlZxcXG+7goAAACKgM0YY3zdibLI07XJi5LNViLNABcFzlwAipPdbldaWpqio6Pl58f1xbLK07zGOwAAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgbmIxcfHKzY2VnFxcb7uCgAAAIqAzRhjfN2JsigzM1MRERHKyMhQeHh4ibRps5VIM8BFgTMXgOJkt9uVlpam6Oho+flxfbGs8jSv8Q4AAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgbmIxcfHKzY2VnFxcb7uCgAAAIqAzRhjfN2JsigzM1MRERHKyMhQeHh4ibRps5VIM8BFgTMXgOJkt9uVlpam6Oho+flxfbGs8jSv8Q4AAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgbmIxcfHKzY2VnFxcb7uCgAAAIqAzRhjfN2JsigzM1MRERHKyMhQeHh4ibRps5VIM8BFgTMXgOJkt9uVlpam6Oho+flxfbGs8jSv8Q4AAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYi1h8fLxiY2MVFxfn664AAACgCNiMMcbXnSiLMjMzFRERoYyMDIWHh5dImzZbiTQDXBQ4cwEoTna7XWlpaYqOjpafH9cXyypP8xrvAAAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMCC14H5u+++07lz54qyLwAAAMBFx+vAfOONN+rIkSNF2RcAAADgouN1YDbGqHv37po2bZpOnjxZlH0CAAAALhqFGsN89dVX61//+peqVaumBx54QOvXry+qfgEAAAAXhUIF5nHjxmnfvn2aPn26Dhw4oNatW6tZs2Z6++23lZGRUVR9BAAAAHzG68C8e/duRUVFKSAgQL1799bXX3+t5ORk9e7dWxMnTlT16tXVv39/ff/990XZXwAAAKBE2Ywxpqh3aozRnDlz9MADDygzM1ONGjXSkCFDdP/996tKlSpF3dxFKTMzUxEREcrIyFB4eHiJtGmzlUgzwEWh6M9cAPB/7Ha70tLSFB0dLT8/ZuEtqzzNa0X+Dli9erUGDBigAQMGKCMjQ8YYpaam6t1331XNmjV19913a+vWrUXdLAAAAFAsvA7M/v7+SktLkyT99ddfmjRpkmJjY9WuXTt9+OGHOnnypK6//nrNnDlTKSkp2rlzp7755hsFBATommuu0ezZs4vsIAAAAIDiEuBtRWOMli5dqvnz5+vLL7/U2bNnZYxRdHS07r//fg0ePFiNGjVyqnPdddfpuuuu06233qp//etfuvPOOwt9AAAAAEBx8jowS9L9998vY4z8/PzUpUsXDR48WLfeeqsCAqx3+49//EN79+4tTNMAAABAiShUYK5Vq5YGDBiggQMHqlatWh7VWbp0qcaMGaPKlSsXpmkAAACgRBQqMK9du1bR0dEFqnPy5Em1adNGl112WWGaBgAAAEqE14F5+vTpioiIKHC92267Tbfddpu3zQIAAAAlyutZMvr166edO3dq8+bN2rZtW57tX331lVJTUwvVOQAAAMDXvA7M33//vZo1a6bmzZurXbt2eba/+eabqlOnjt57771CdRAAAADwJa8D86effqrAwEC99NJLLq8wT5s2TY8//riGDRumZcuWFaqTAAAAgK94PYZ51apV+ve//63Ro0e73F6rVi2NHz9efn5+mjBhgjp06OB1JwEAAABf8foK859//qlbb70133J33323tmzZ4m0zAAAAgE95HZjtdrvCwsLyLRceHq6jR4962wwAAADgU14H5jp16mjJkiX5lluyZInq1KnjbTMAAACAT3kdmG+77TaNGjVKiYmJbsvMmTNHTz/9tHr27OltMwAAAIBP2YwxxpuKR44cUbNmzbR//35Vq1ZNLVu2VFRUlCQpPT1d69evV0pKimrVqqWff/5ZlSpVKtKOX+wyMzMVERGhjIwMhYeHl0ibNluJNANcFLw7cwGAZ+x2u9LS0hQdHS0/P6+vL+Ii52le83qWjEqVKumbb77R7bffrq1bt+rLL7+U7f8ntpwMfsUVV2ju3LmlKizfcMMNSktLU1BQkNPjycnJ6tGjhxISEnzUMwAAAPiC14FZki677DJt2rRJ8+fP15IlS7Rnzx5J58c3d+7cWbfddlup/Kts4cKFqlu3ruNnu92u2rVr68477/RdpwAAAOAThQrMkuTn56devXqpV69eRdEfn/vXv/7lGFqSY+nSpbLb7erWrZuPegUAAABfKfbLvydOnNDzzz9fZPtbs2aNGjduLJvNpuTk5CLbb45OnTqpfPnyTo9Nnz5d999/v/z9/Yu8PQAAAFzcij0wHz9+XOPGjSv0fk6dOqWRI0eqXbt22rlzZ4HqJiUlqVOnToqMjFT58uV19dVXa8qUKbLb7fnWPXr0qObPn6+BAwd623UAAACUYoUaknHw4EHNmDFDmzZt0pEjR5SdnZ2nzJkzZwrThCRp165d6tatm7KysrRo0SJ17tzZ47rjx4/X6NGj1b17dy1dulRhYWH64IMP9Oijj2rJkiVKTExUQID7p+HTTz9Vy5Yt1ahRo0IfBwAAAEofrwPz2rVr1alTJx0/flz5zUxnK+R8Z9u2bVOHDh00YcIEVahQweN6q1at0ujRoxUbG6vExEQFBgZKOh+ijxw5ovfee0/jx4/Xv/71L7f7mDFjhoYOHVqo/gMAAKD08noe5htvvFFr167V0KFD1apVK0VGRjoCaW6HDx/WHXfc4fLqs6eys7Odxg/nBPDdu3c7zWZxoQ4dOmj58uV655138oTeHTt2qEmTJgoPD1dqaqpCQkLy1N++fbtat26tlJSUPOOa88M8zEDxYh5mAMWJeZgvDcU+D/PatWs1efLkfMf2Hjp0KN8r0Pnx5ma79PR0rVy5UtL54Hyhxo0bq2bNmtq/f78WLVqk3r175ykzY8YM3XnnnQUOywAAACg7vA7MQUFBuvHGG/MtV7VqVY9uritq69evl91uV2BgoBo0aOCyTJMmTbR//36tW7cuT2DOzs5WQkKC5dLfuWVlZSkrK8vxc2ZmpqTzf6GW3PHzFzAuHb44rwC4dNjtdhljONeUcZ6+vl4H5uuvv1779u1TvXr1LMudPXtWP/zwg9q1a+dtU17ZtWuXJCkqKsrtv1KqVavmVDa3pKQkVapUSW3atPGovVdeecXlbCDp6ek6ffq0p90upJgSagfwvbS0NF93AUAZZrfblZGRIWMMQzLKsGPHjnlUzuvA/Oqrr+qhhx7Sxx9/rBo1argt9/fff+vGG28s1Bhmb+Rc4XU1NjlHaGioJCkjIyPPtunTp2vAgAEetzdmzBiNGDHCqf1atWopKiqqxMYwA5eS6OhoX3cBQBlmt9tls9ksL7yh9CtXrpxH5bwOzHPmzFGNGjVUv359dejQQQ0bNlTlypXzzIhx/Phxb5vwqTlz5hSofHBwsIKDg/M87ufnxwcNKAZ8rgAUN5vNxu/xMs7T19brwPzcc8/JZrPJGKOkpCSXZXK2F3ZaOW/kXNU9deqU2zInT56UJEVERJRInwAAAFD6FGrhkhEjRuQ7L/KxY8f0+uuvF6YZr+Tc6Jeeni673e7yL4iUlBSnsgAAAMCFChWYn3rqqXzHEaampuq1114rTDNeadGihfz8/HT27Fnt2rVLl112WZ4yv/32myQpLi6upLsHAACAUsLrQTkJCQmqWLFivuUqV66sFStWeNuM16Kjo9W+fXtJ0rJly/Js37Fjh/bv36+wsDDdfPPNJd09AAAAlBJeB+a+ffsqKCgo33KBgYGO4FrSxo4dK0maMmWKzp0757Rt0qRJks5fJc+ZLQMAAAC4UKFv+zx9+rQSEhI0dOhQ9ejRQ6mpqZKk2bNn6/Dhw4XuYI709HSlpqY69u/usdzat2+vl156Sdu2bVOvXr20ceNG7dy5U6NHj9Z7772nbt26acyYMUXWR0mKj49XbGwswzwAAADKCJspxLrVK1eu1D333ONY/tpms+n3339X/fr11bx5c+3cuVMJCQkul50uqLp162rPnj1ut1sdxqJFizRp0iStX79eZ8+eVaNGjTRgwAA9/PDDXi277QlP1yYvSj6YjATwGe/PXACQP7vdrrS0NEVHRzOtXBnmaV7zOjDv3LlTV199tU6dOqXWrVurfv36+vzzz7V9+3bVr19fycnJevHFFzVz5kytXbtWzZs39/pgSiMCM1C8CMwAihOB+dLgaV7zepaMV155RREREVqzZo2uuuoqSdIXX3zh2F63bl29//77ys7O1vjx4zVr1ixvmwIAAAB8xus/mZYvX67XX3/dEZbdGTZsmNatW+dtMwAAAIBPeR2YU1NT1aJFi3zLxcTE6ODBg942AwAAAPiU14E5IiLC8ia8HNu2bfNovmYAAADgYuR1YG7btq1Gjx6tU6dOuS2TmZmpZ599Vtddd523zQAAAAA+5fVNf08++aTat2+v+vXra/DgwWrRooXsdrs2btyobdu2ae3atZo2bZrS0tL0zjvvFGWfAQAAgBJTqHmY33rrLY0YMcLtHMg2m02TJ0/WsGHDvO5gaRMfH6/4+HhlZ2dr586dTCsHFBOmlQNQnJhW7tJQ7PMw51i9erVeffVVrVixQidPnpQkhYaGqkOHDhozZoxat25dmN2XWszDDBQvAjOA4kRgvjQU+zzMOa699lotWLBAdrtdf/31lySpSpUqvLkAAABQJngdmG+66SZJUmRkpObMmSM/Pz9FR0cXWccAAACAi4HXl4FXrlyplJQUdenSpSj7AwAAAFxUvL7CHBAQoISEBLVs2bIo+wMAAABcVLy+wlyjRg1Vrlw533J2u1179+71thkAAADAp7wOzD179tTXX3+db7n09HTVq1fP22YAAAAAn/J6SMbzzz+vrl27yt/fXwMHDlRwcLDbsoWcuQ4AAADwGa8D82233Sa73a5HHnlEo0aNUp06dRQVFSXbBZMBnzlzJs9jAAAAQGnhdWBeuXKl4/sTJ05o+/btbsteSoE590p/AAAAKP28XunPz89Pc+fOVWRkpGW5w4cP64477rjkAiQr/QHFi5FeAIoTK/1dGkpkpb9rr70238VKDh06xBhmAAAAlFpe/8m0atUqnTx5UgcOHLAsV7VqVdntdm+bAQAAAHzK6yvM7dq1k3Q+EB88eLDIOgQAAABcTLy+wmyM0bBhw/Tbb78VZX8AAACAi4rXgbl8+fIaOXJkid3QBgAAAPiC14E5NjZWR44cybfciRMn9Pzzz3vbDAAAAOBTXgfm4cOHa8KECfmWO378uMaNG+dtMwAAAIBPeX3T3/XXX681a9aodevWeuSRR9SkSROXK/2lpaUVupMAAACAr3gdmOvWresIx/369SuyDgEAAAAXk0ItXFKjRg35+/tblsnOzs53rmYAAADgYlWowLx+/fp8V/pLTU1V9erVC9NMqRIfH6/4+PhLbilwAACAssrrm/46dOig4ODgfMuFhoZeUkM2Hn74YW3fvl3r1q3zdVcAAABQBGzGGOPrTpRFmZmZioiIUEZGRonNVX3B/ZZAmcaZC0BxstvtSktLU3R0tPz8vL6+iIucp3mt2N8BmZmZuv/++4u7GQAAAKBYFHtgPnXqlD7++OPibgYAAAAoFl7f9HfTTTd5VO7MmTPeNgEAAAD4nNeBeeXKlfmWsdlsMsbkWcwEAAAAKC0KNa1cYmKiKlWq5PSYMUbp6enatWuXZs6cqRtvvFF33XVXoToJAAAA+EqhAnPbtm0t52F++umnde+99+rYsWOFaQYAAADwGa9v+rPb7fkuWmKz2fT000/rxRdf9LYZAAAAwKeKfZaMoKAgbdmypbibAQAAAIpFsQfmjz76SCEhIcXdDAAAAFAsvB7D/Pzzz7vdlp2drSNHjmj9+vX66aefuOkPAAAApZbXgfm5555zTBtn5aqrrtJrr73mbTMAAACATxVqlowRI0aoQoUKeR739/dXRESEmjVrpuuuu+6Smoc5Pj5e8fHxys7O9nVXAAAAUARsJr9LxG74+fkpNTU135kyLlWZmZmKiIhQRkaGwsPDS6TNS+jvEkDenbkAwDN2u11paWmKjo6Wn1+x3/IFH/E0r3n9DliwYEGeRUsAAACAssbrIRm33HJLUfYDAAAAuCgVKDB/8803OnjwoCSpQoUK6t27t8tyixcv1vbt2/XII48oMDCw8L0EAAAAfMTjwJyVlaU+ffro2LFjMsaoadOmbgNzamqqRo4cqYSEBC1cuFAxMTFF1mEAAACgJHk8hnnx4sXKzMxUrVq1lJiYqF9++cVt2S5duuiBBx7Q1q1b3YZqAAAAoDTwODAvXbpUERERWrNmjXr27Gl5x2hMTIzeffddzZ49Wxs2bNCsWbOKpLMAAABASfM4MG/YsEEPP/ywqlev7vHOe/bsqXvvvVeffvqpV50DAAAAfM3jwPz777+rY8eOBW7gnnvu0YYNGwpcDwAAALgYeByYMzIyVKdOnQI3UK9ePaWnpxe4HgAAAHAx8Dgwh4WF6dy5cwVuIDs7WyEhIQWuBwAAAFwMPA7MderU0ebNmwvcwC+//KLatWsXuB4AAABwMfA4MN900016++23C9zAO++8ow4dOhS4HgAAAHAx8DgwP/DAA/ruu+80evRoj3c+atQofffdd3rooYe86hwAAADgax4H5kaNGumJJ57QhAkTFBcXp5kzZ2r//v15yu3fv18zZ85Uy5YtNWnSJI0aNUqXXXZZkXYaAAAAKCk2Y4zxtLDdblffvn312WefyWazSZJCQ0MVEREh6fxMGidPnpQkGWPUv39/ffDBB46yl5LMzExFREQoIyND4eHhJdLmJfg04xLm+ZkLAArObrcrLS1N0dHRlou1oXTzNK8V6B3g5+enTz/9VJMnT1Z0dLSMMTpx4oQOHjyogwcP6sSJEzLGqGrVqpo6daqmTZt2yYXl+Ph4xcbGKi4uztddAQAAQBEo0BXm3LKysvTtt9/qxx9/1KFDh2Sz2VS1alW1adNG7dq1U1BQUFH3tVThCjNQvLjCDKA4cYX50uBpXgvwtoHg4GB17txZnTt39nYXAAAAwEWPP5kAAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALDgdWDeu3evrNY8OXr0qP75z39q6tSpluUAAACAi5nXgblevXpKT093u90Yo19//VUPPfSQ/v3vf3vbDAAAAOBTXgfm/K4aV6pUSb/88os+/vhjffzxx942AwAAAPhUsY9hbtmypVJSUoq7GQAAAKBYBHhacPPmzdq0aZPTY7Nnz1Z4eLjbOidOnFBiYqKqVq3qdQcBAAAAX/I4MM+bN0/jxo2TzWZzPPbYY4/lW88Yo3HjxnnXOwAAAMDHPA7MzZo1U79+/SSdD8EJCQm64447FBIS4rK8n5+fKlasqPbt2+vWW28tmt4CAAAAJcxmvJzzzc/PT6mpqYqOji7qPpUJmZmZioiIUEZGhuWwlaKU6+I/UOYxWyWA4mS325WWlqbo6Gj5+bFsRVnlaV7z+h0wffp0RUREeFsdAAAAKBW8Dsz9+vVTcHBwvuVOnDih559/3ttmAAAAAJ8q9v8xHD9+nJv+AAAAUGp5fNPfypUrlZiYqIEDB6pZs2YaOHCgR/VOnTrldedKo/j4eMXHxys7O9vXXQEAAEAR8Pimv8qVK+vo0aNq1aqV1qxZU6AB8Dab7ZILkNz0BxQvbvoDUJy46e/S4Gle8/gK84gRI/Tpp59q6NChjsfeeOONfG/8O3r0qEaMGOFpMwAAAMBFpdinlTt06JCqVasmu93uVQdLK64wA8WLK8wAihNXmC8NxT6t3IoVKxQZGZlvucjISK1YscLbZgAAAACf8nhIxoXat2/vUbns7Gzt2bPH22YAAAAAnyr2/zFkZGRowIABxd0MAAAAUCy8vsIsSSdPntQXX3yhTZs26ciRIy5nwrjUppUDAABA2eJ1YN65c6c6duyoAwcOKL/7Bm3cjQYAAIBSyuvAPHLkSB08eFA9e/ZUq1atFBkZqcDAwDzlmFYOAAAApZnXgfm7777Tq6++qieffNKy3KFDh/TEE0942wwAAADgU17f9GeMUc+ePfMtFxUVpd27d3vbDAAAAOBTXgfmli1b6ujRox6VZQwzAAAASiuvA/MLL7yg//znPzp9+rRlufT0dNWrV8/bZgAAAACf8noM865du1StWjXVrFlTd955pxo2bKjKlSvnuZqckZFR6E4CAAAAvmIz+c0J54afn59sNpuMMZZDLnK2u5qjuSzzdG3yosTIF1xKvDtzAYBn7Ha70tLSFB0dLT+/Yl/nDT7iaV4r1MIld9xxh0JCQizLnDx5UnPmzClMMwAAAIDPFCowv/XWW4qOjrYsk5qaqs8//7wwzQAAAAA+U6ib/sLCwvItV7FiRU2fPt3bZgAAAACf8noMM6wxhhkoXpy5ABQnxjBfGjzNax6/A2666SaP510GAAAAygqPA/PKlSt19uzZ4uwLAAAAcNEp0E1/w4cPt5wVw9/fXxUqVFCtWrXUqlUrXXvttYXuIAAAAOBLBQrMe/fuVVBQkNvtdrtdx48f1969e3X48GE1adJEH3/8sZo3b17ojgIAAAC+UKDAPG/evHynkcuxbds2Pffcc+rcubO2bNmimJgYrzoIAAAA+JLHY5jbt29veXX5Qk2bNtXnn3+uq6++WvHx8V51DgAAAPA1jwPzihUrVLFixQI38NBDD2nJkiUFrgcAAABcDIp9YsErrrhCf/zxR3E3AwAAABSLYg/MwcHBOnbsWHE3AwAAABSLYg/Mhw4dUrly5Yq7GQAAAKBYeByYP/zwQ2VlZRW4gcWLF6t69eoFrgcAAABcDDwOzAMGDFBGRkaBdr5p0yZNmjRJbdq0KXDHSqv4+HjFxsYqLi7O110BAABAEbAZY4wnBf38/DRv3jxVqlTJbRljjE6cOKE9e/bo22+/1RdffKGzZ89q1apVatu2bZF1ujTIzMxURESEMjIyFB4eXiJt2mwl0gxwUfDszAUA3rHb7UpLS1N0dLT8/Ip9BCt8xNO8VqCFS3r37u1xWWOMbDabxo0bd8mFZQAAAJQdBQrM+V2MttlsqlChgmrXrq3WrVtr8ODBatWqVaE6CAAAAPiSx4HZZrMpJSXF46WxAQAAgLLA40E5Hg51BgAAAMoUj68w2+324uwHAAAAcFHitk8AAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmF3Izs7WG2+8obi4ODVr1kx16tRRt27dtHPnTl93DQAAACUswNcduBgNGzZMhw4d0vLlyxUWFqZDhw4pLi5Of/75pxo1auTr7gEAAKAEEZgv8N1332nGjBk6cOCAwsLCJElVq1bV3LlzVbt2bR/3DgAAACWt1A3JWLNmjRo3biybzabk5OQi3/+0adPUokULRUVFOT0eFxenqlWrFnl7AAAAuLiVmsB86tQpjRw5Uu3atSvwWOKkpCR16tRJkZGRKl++vK6++mpNmTJFdrs9T9kff/xRtWvX1pQpU3TNNdeoUaNG6tGjhzZs2FBUhwIAAIBSpFQE5l27dqlZs2aaO3euFi1aVKC648ePV9euXVWuXDktXbpUP//8szp16qRHH31UPXv21Llz55zK79u3T19//bVWrFihFStWaMuWLapZs6batWtXLFe0AQAAcHErFYF527Zt6tChg7Zu3apOnTp5XG/VqlUaPXq0YmNjlZiYqBYtWqhRo0YaP368hgwZogULFmj8+PFOdU6fPq0TJ07orbfeUvny5RUcHKyJEyfKz89PL730UlEfGgAAAC5ypSIw33LLLXr77bdVoUKFAtV77rnnJEmPPvqoAgMDnbaNHDlSkjRhwgSdOnXK8XhYWJgqV66sGjVqOB6rUKGCGjZsqF9++cXLIwAAAEBpVSoCs7+/f4HrpKena+XKlZKkDh065NneuHFj1axZU5mZmU7DPBo3buxybLO/v7+OHz9e4H4AAACgdCuz08qtX79edrtdgYGBatCggcsyTZo00f79+7Vu3Tr17t1b0vmr2WPHjtXBgwdVvXp1SVJWVpb++OMP9ejRw217WVlZysrKcvycmZkpSbLb7S4DePEoFX//AEWi5D5XAC5FdrtdxhjONWWcp69vmQ3Mu3btkiRFRUXJz891kKxWrZpTWen88I2pU6dqzJgxmj59uvz8/PTiiy/q7NmzGj16tNv2XnnlFY0bNy7P4+np6Tp9+nRhDqUAYkqoHcD30tLSfN0FAGWY3W5XRkaGjDFucwRKv2PHjnlUrswG5pwrvCEhIW7LhIaGSpIyMjIcj1WqVEkrV67UE088oXr16ikgIEANGjTQd999p6ZNm7rd15gxYzRixAin9mvVqqWoqCiFh4cX9nAAXCA6OtrXXQBQhtntdtlsNssLbyj9ypUr51G5MhuYC6Nhw4ZasGBBgeoEBwcrODg4z+N+fn580IBiwOcKQHGz2Wz8Hi/jPH1ty+w7IOeqbu4ZMC508uRJSVJERESJ9AkAAAClT5kNzDk3+qWnp7sd0J2SkuJUFgAAALhQmQ3MLVq0kJ+fn86ePet0U19uv/32myQpLi6uJLsGAACAUqTMBubo6Gi1b99ekrRs2bI823fs2KH9+/crLCxMN998c0l3DwAAAKVEmQ3MkjR27FhJ0pQpU3Tu3DmnbZMmTZIkPfXUU47ZMgAAAIALlZrAnJ6ertTUVKWmplo+llv79u310ksvadu2berVq5c2btyonTt3avTo0XrvvffUrVs3jRkzpkj7GR8fr9jYWIZ5AAAAlBE2Y4zxdSc8UbduXe3Zs8ftdqvDWLRokSZNmqT169fr7NmzatSokQYMGKCHH37Yq2W3PZGZmamIiAhlZGSU2DzMNluJNANcFErHmQtAaWW325WWlqbo6GimlSvDPM1rpSYwlzYEZqB4ceYCUJwIzJcGT/Ma7wAAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgLmIsXAIAAFC2MA9zMWEeZqB4ceYCUJyYh/nSwDzMAAAAQBEgMAMAAAAWCMwAAACABQIzAAAAYIHADAAAAFggMAMAAAAWCMwAAACABQIzAAAAYIHAXMRY6Q8AAKBsYaW/YsJKf0Dx4swFoDix0t+lgZX+AAAAgCJAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJgBAAAACwRmAAAAwAKBGQAAALBAYAYAAAAsEJiLWHx8vGJjYxUXF+frrgAAAKAI2IwxxtedKIs8XZu8KNlsJdIMcFHgzAWgONntdqWlpSk6Olp+flxfLKs8zWu8AwAAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmItYfHy8YmNjFRcX5+uuAAAAoAjYjDHG150oizIzMxUREaGMjAyFh4eXSJs2W4k0A1wUOHMBKE52u11paWmKjo6Wnx/XF8sqT/Ma7wAAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgLmLx8fGKjY1VXFycr7sCAACAImAzxhhfd6IsyszMVEREhDIyMhQeHl4ibdpsJdIMcFHgzAWgONntdqWlpSk6Olp+flxfLKs8zWu8AwAAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwE+LoDAADAms3m6x5civwkxfi6E5ccY3zdA9e4wgwAAABYIDADAAAAFgjMAAAAgAUCMwAAAGCBwAwAAABYIDADAAAAFgjMAAAAgAUCcxGLj49XbGys4uLifN0VAAAAFAGbMRfrFNGlW2ZmpiIiIpSRkaHw8PASaZOJ7XEp4cyFSwnnd1wqSvrc7mle4wozAAAAYIHADAAAAFggMAMAAAAWCMwAAACABQIzAAAAYIHADAAAAFggMAMAAAAWCMwAAACABQIzAAAAYIHADAAAAFgI8HUHyqqcFcczMzNLsNWSWYIbuBiU7GcL8DXO77g0lPS5Pac9k8+a3ATmYnLs2DFJUq1atXzcE6BsiojwdQ8AAEXNV+f2Y8eOKcKicZvJL1LDK3a7XQcPHlRYWJhsNpuvu4NikpmZqVq1amnfvn0KD+cKEACUFZzfLw3GGB07dkzVq1eXn5/7kcpcYS4mfn5+qlmzpq+7gRISHh7OCRUAyiDO72Wf1ZXlHNz0BwAAAFggMAMAAAAWCMxAIQQHB2vs2LEKDg72dVcAAEWI8zty46Y/AAAAwAJXmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAFJN9xwg2w2m9uv0NBQXXHFFRo9erQOHz6slStXuizXv39/l/ufMWNGnrIzZswo0WMEgEtB3bp1XZ6fL5SWliY/Pz+Fh4fr7Nmz+e7nhhtucLtvqy/O9WUDgRmQlJiYqJSUFLVp00aSNHLkSKWkpCglJUXJycmaP3++YmJiNH78eF111VWqVq2aUlJS9K9//UuSFBISol27dunNN990uf+77rpLKSkpat++vf75z38qJSVFd911V4kdHwBcKtatW6fvv//e8fPatWuVkpKSp1xSUpJjWeRVq1a53M93330nf39/7dy5U4mJiVq3bp1SUlIcK/m+8cYbjt8Vrr5QdhCYAUmRkZGKiYlRUFCQJKlChQqKiYlRTEyM6tSpo06dOmnJkiVq2bKlDh48qEGDBikmJkZDhw6Vn5+fTp06pe+++87t8pohISE6d+6cvv/+ew0dOlQxMTEKCQkpyUMEgEtCVFSUrr32WtWqVUuStGnTJsXExOQpt2jRIpff597Pzz//rFatWumyyy5TZGSkoqKiFBMTI39/f0nnl1TO+V3h6gtlB4EZ8JCfn58GDx4sSVq9erX27dunmjVrqnPnzpKk999/37L+9OnTVa9ePbVv377Y+woAl7qbb75ZkuswbLfbtWTJEvXq1UuStHDhQpf7SEpKcuzHG+np6br77ru9ro+LB4EZKIDatWs7vt+/f78kadCgQZLOh+jffvvNZT1jjKZNm+YoCwAoXl27dpUkLVu2TOfOnXPa9tNPP+n06dN69dVXJUnbt2/Xnj17nMpkZWXp22+/dezHU8nJybLZbFq5cqWqVKnCSoFlBIEZKICDBw86vq9SpYok6dZbb3V87+4q8zfffKP9+/erX79+xd9JAIA6dOigwMBAZWZmavXq1U7bFi5cqBtvvFGNGjVSbGyspLxXor/99luVL19eLVq0KLE+4+JFYAYKYPbs2ZKk2NhYXXbZZZKkoKAg3XfffZKkDz/80OXd1u+//766deumatWqlVxnAeASFh4e7riROykpyWnbokWLHFeOu3XrJinvsIykpCR17tzZ5QwbuPQQmIF8GGOUnJysBx54QEuWLFFoaGieK8kDBw6UdH682vz58522HT58WF988QXDMQCghOWE4txXj9PS0rRx40bH2OScMsuXL1dWVpajXFJSUr7DMYYOHaoKFSo4fTVt2rSoDwMXAQIz4MLLL7/sOPmVK1dO9erV0yeffKI+ffpow4YNjqsWOa644gpdc801kvIOy/jwww9VuXJl3XLLLSXWfwDA/934t3nzZsc0b0lJSWrYsKEaNGggSbruuutUoUIFnThxQt99950kae/evdqxY4fjpm53nn/+eW3atMnpy90NhCjdAnzdAeBiNHToUA0fPlySZLPZVK5cOaephFwZNGiQ1q5dq6VLl2rv3r2OGwQ/+OAD9e/f37IuAKDo/eMf/3DMm5+UlKQBAwY4DceQzg+r69Chg+bPn6+FCxeqU6dOSkpKUosWLRQVFWW5/+joaDVs2NDpsYYNG8oYUyzHA9/hCjPgQmRkpBo2bOi4ClGjRo18A+8///lPhYaGym63a/r06ZKkH3/8Udu3b3cM2QAAlBybzaYuXbpIOn9lOTs7W0uWLMkz1OLCoRuFnU4OZQ+BGSgi4eHh6tOnj6Tzcy7b7Xa9//77at++fZ4rEACAkpEThpcuXao1a9bo1KlTuuGGG5zK5Nz4t2PHDu3cuVPLli0r8HRyKNsIzEARyrmxb8+ePZo3b54+++wzbvYDAB/q1KmT/P39deTIET333HO64YYbVK5cOacytWrVctys9+yzzyogIMBxXwogEZiBItWuXTvHdHNDhgxRQECA46ozAKDkVapUSa1atZJ0fiYMd1eOcx7//PPPHSEbyEFgBiT9/fffSk1N1ZkzZyRJx48fV2pqqlJTUwu8r5zxykeOHNE999yT50oGAKBk5R6PnF9gvrB8bunp6UpNTVV2drYkKSMjw+vfFShdbIZbOQHdcMMN+vbbb11uK+hHJCUlRbVq1VJ2drY2btyo5s2bF0UXAQBeWr9+veLi4tSgQQP98ccfLsucOXNGVapU0bFjx3Tw4EGXC03VrVs3zxLaOYhTZRuBGQAAALDAkAwAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAEAAAALBGYAAADAAoEZAAAAsEBgBgAAACwQmAGgiN1www2y2Wxuv0JDQ3XFFVdo9OjROnz4sK+7CwDIB4EZAIpYYmKiUlJS1KZNG0nSyJEjlZKSopSUFCUnJ2v+/PmKiYnR+PHjddVVV+n333/3cY8BAFYCfN0BAChrIiMjJUlBQUGSpAoVKigmJsaxvU6dOurQoYNatWql9evXa8CAAfr+++990lcAQP64wgwAPuDn56fBgwdLklavXq19+/b5uEcAAHcIzADgI7Vr13Z8n5yc7DTOuX///kpJSdHAgQNVvXp1+fv7Ox7PLSkpSbfccouioqIUHBysOnXqaPDgwfrjjz/ctvv3339r9OjRatKkiUJCQlS+fHldeeWVeuihh7Rq1SqXdb788kt16tRJkZGRKleunBo0aKBHHnlEBw4ccFn+m2++UdeuXVWzZk0FBQWpZs2auuOOO/TZZ5/p5MmTTmX379+v4cOHq0mTJgoNDVVERISuvfZajR8/Xrt3786zb2OMZs6cqeuuu04REREKDQ1VbGysxowZoyNHjrjsz+eff6727dsrJiZGQUFBqlevnvr166evvvpKZ8+edftcAYBEYAYAnzl48KDj+5iYGKWkpOiNN96QJP3111+65ZZb1L59e61Zs0ZLly5VdHS0U/0xY8aoa9eustvtmj9/vnbu3Kk33nhD33zzjZo1a6YlS5bkafP3339X8+bN9fbbb+uxxx7Ttm3btGbNGt1555364IMP1K5dO/3yyy9OdUaOHKnbbrtNfn5++uKLL7Rp0yaNHj1aCQkJat68ubZs2eJUfurUqerUqZOqVKmiL774Qr///rs+/PBDpaen65///Kdmz57tKHvgwAFdffXVWrRokSZOnKht27Zp1apVuvHGGzVmzBgNGDDAad92u1133XWX+vfvr3r16mnx4sVat26dBgwYoNdee01xcXF5QvwzzzyjO++8Uy1bttTixYu1Y8cOTZ48WZs2bVKPHj20evVqz180AJcmAwAoFu3btzeSzNixY11u79y5s5FkYmNjHY9Nnz7dSDKSzIIFC5zKP/vss2b48OHGGGM+++wzI8lceeWV5syZM07ltm/fbgICAkzFihXNgQMHHI+fO3fOXHnllUaSmT17dp7+vPzyy0aS+fnnnx2Pffrpp0aSadq0qTl37pxT+fnz5xtJ5qqrrjJ2u93xeJ06dUxYWJjJzs52Kn/s2DFTqVIlM336dMdjY8eONZLM559/nqc/gwcPNu3bt3d67JVXXjGSzM0335yn/Jtvvmkkme7duzseO3XqlClXrpxp2rRpnvL79u0zNpvNrFixIs82AMiNwAwAxcRVYLbb7Wb37t1myJAhRpIJDQ01a9ascWzPCcz16tWz3HdO8H377bddbu/evbuRZJ5++mnHY3PnzjWSTLVq1ZwCbo6DBw+aihUrms2bNzseu+KKK4wk87///S9PebvdbqpXr24kmZUrVzoeDw0NNUFBQSYlJSVPndmzZ5tff/3V8fNDDz1kJJlJkyblKbtlyxaTmJjo+DkrK8tERkYaSWbx4sV5yp88edL4+fkZm81mdu/ebYwxJi0tzUgyMTEx5sSJE3nqfPDBB2b//v15HgeA3BiSAQDF7OWXX1aFChVUoUIFlStXTvXq1dMnn3yiPn36aMOGDY7p53Jr0qSJ2/2lpKQ4hkFcc801LsvkPL548WLHYzlDNFq2bCmbzZanTrVq1XTkyBFdeeWVjna2bt3qqHMhm82mevXqSZLTsIYOHTrozJkzuuaaazR58mSlpaU5tt1xxx1Ox9ahQwdJ0tNPP61hw4Zpw4YNjm1XXHGFevXq5fh5w4YN+vvvv932JyQkRNWqVZMxRmvWrJEkRUVF6corr1Rqaqpatmyp6dOnKyMjw1Fn4MCBqlGjRp59AUBuBGYAKGZDhw7Vpk2btGnTJm3fvl379+9XRkaGPv/8c7fBOCoqyu3+9u7d6/j+wnHNOapWrSpJ2rNnj+OxnO+t9u2uneuvv94R+nN//fjjj5LkNG74gw8+UPfu3bVv3z4NHz5c1apVU9u2bfX222/r2LFjTm307t1bEydOVLly5fTuu++qZcuWql27th5//HH9+uuvbvtTu3Ztl/1JSUnJ05958+apbdu2+vXXXzVw4EBFRUWpY8eOSkhIUFZWlkfPBYBLG/MwA0Axi4yMVMOGDQtUx9UVYF9avHix01zSFwoPD3d8HxUVpQULFui3337TRx99pM8//1w//PCDfvjhB7366qv6+uuvHVexJenJJ5/Ugw8+qNmzZ2v27Nlavny53nzzTU2ZMkXjx4/XyJEjndry9/fXpk2bLPtbuXJlx/cNGjTQ6tWrtX79en388ceaM2eOli1bpmXLlmnChAlatGiRatasWcBnBMClhCvMAFDK5J6O7tChQy7L5Dxep04dx2M536enpxe4nbCwMDVs2NDtl6sr3U2aNNGLL76oHTt26IcfftA111yjffv2aejQoXnKhoWFadCgQVq8eLEOHDigJ598UtnZ2Ro1apR27Njh1P/s7GxFRUVZ9qdSpUp52mjZsqVef/117d27V4sXL1ajRo20detWPf300x49HwAuXQRmAChlqlWr5rhC+9NPP7kss3btWklSly5dHI917txZkrR+/XoZY/LU2bt3rzp27Kgvv/wyTzs5+7vQ6tWr1axZM3333XeOx/r376/9+/c7lWvdurXmzp0rSfr5558dj7///vuaNWuWU9no6GhNnDhRHTp0kN1ud0xz16JFC8eVY3f9+fzzz9WsWTPHPNR//fWX+vfvr9OnTzvK2Gw2de7cWR988EGe/gCAKwRmACiFnn32WUnS22+/rTNnzjht+/XXX5WUlKSIiAgNHz7c8fhtt92mK664QikpKZozZ06efcbHx+vbb791uqEup53Jkyfnacdut2vcuHE6dOiQ042LM2fO1KJFi/LsP2eBkNxXrr///ntNmTLF5TFeWD4wMFCjRo2SJL322mt5Qv+pU6f0wgsvKCAgwDEE5vjx45o5c6bLBVlc9QcAXPLxLB0AUOYcPnzYpKSkmDZt2hhJZuTIkSYlJcXlNGs5zp07Z1JSUswbb7xhJJk777wz3zpPP/20kWQ6d+5sVq9ebfbs2WMSExNNnTp1TPny5U1SUlKeOjt27DC1atUy4eHh5t133zV//vmn2bRpkxk9erSx2WzmnXfecdvOjTfeaFasWGH27Nljvv32W9O9e3cTEhJiVq1a5VRekgkPDzdvvvmm2bx5s9m9e7dZuHChadmypfH393eaKq5fv35Gkunbt6/5/vvvTXJystmwYYMZPny4kWR69erltO/s7Gxz9913G0nmjjvuMD/++KNJTk42SUlJpm3btqZKlSrmt99+c5TfvXu3kWSqV69upk2bZrZv327++OMPM2fOHNOwYUMTEhJifvjhB7fPMQAYwzzMAFDkcuZfdvXlTk6wK0gdY4xZtGiR6dq1q4mMjDSBgYGmVq1aZuDAgWbnzp1u6/z1119m1KhRplGjRiY4ONhUrVrVdOzY0eXcxjkWLlxobr75ZhMZGWnKlStnGjZsaAYMGOAUTnOsX7/ePPXUU+Yf//iHKV++vAkODjYNGjQw99xzj9m4caNT2UOHDpn4+HjTsWNHExUVZQICAkzVqlXNddddZ2bOnGnOnj2bZ/92u9189NFHpn379iYiIsKEhoaaJk2amOHDh+eZU9lut5tvv/3WPPTQQ+byyy83ISEhJjQ01DRq1Mg88MAD5vfff7d8fgHAGGNsxrgYyAYAAABAEmOYAQAAAEsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAsEZgAAAMACgRkAAACwQGAGAAAALBCYAQAAAAv/D201+yYOee9GAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.FOPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Fopex](plots/fopex.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.VOPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Vopex](plots/vopex.png)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Accessing results and inputs**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All inputs are stored in results.component\n", - "\n", - "All outputs are stored in results.output\n", - "\n", - "Values can be accessed as shown below" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'PV', 0): 100.0,\n", - " ('place', 'WF', 0): 100.0,\n", - " ('place', 'LiI_discharge', 0): 100.0,\n", - " ('place', 'LiI', 0): 0.0}" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['Cap_P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'PV', 0, 0): 66.66666666666666,\n", - " ('place', 'PV', 0, 1): 88.8888888888889,\n", - " ('place', 'PV', 0, 2): 100.0,\n", - " ('place', 'PV', 0, 3): 77.77777777777777,\n", - " ('place', 'WF', 0, 0): 100.0,\n", - " ('place', 'WF', 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 3): 77.77777777777777,\n", - " ('place', 'LiI_discharge', 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 2): 0.0,\n", - " ('place', 'LiI_discharge', 0, 3): 0.0,\n", - " ('place', 'LiI', 0, 0): 0.0,\n", - " ('place', 'LiI', 0, 1): 0.0,\n", - " ('place', 'LiI', 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 3): 0.0}" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['P']\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/small/small-mp.ipynb b/examples/small/small-mp.ipynb deleted file mode 100644 index 328b27ee..00000000 --- a/examples/small/small-mp.ipynb +++ /dev/null @@ -1,369 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Small energy systems MILP example" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.0.5\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Nomenclature**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The sets and variables used are stated here\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "- $\\mathcal{R}$ - set of all resources r\n", - "- $\\mathcal{P}$ - set of all processes p\n", - "- $\\mathcal{T}$ - set of temporal periods p\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Subsets*\n", - "\n", - "- $\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "- $\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "- $\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "- $\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "- $\\mathcal{P}^{uncertain}$ - set of processes with uncertain capacity\n", - "- $\\mathcal{T}$ - set of temporal periods \n", - "- $\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "- $\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Continuous Variables*\n", - "\n", - "- $P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $C_{r,t}$ - consumption of r $\\in$ $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $S_{r,t}$ - discharge of r $\\in$ R\\ $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - " \n", - "- $Cap^{S}_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " \n", - "- $Cap^{P}_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Binary Variables*\n", - "\n", - "- $X^P_{p,t}$ - network binary for production process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $X^S_{r,t}$ - network binary for inventory of resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- $Cap^{P-max}_{p,t}$- maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Cap^{S-max}_{r,t}$- maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $D_{r,t}$ - demand for resource r in $R^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**MILP Formulation**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling for a single location problem.\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\times X^S_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\times X^P_p \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{sell}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " -Inv_{r,t} + \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{stored}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{p,t} \\times \\eta(p,r) + C_{r,t} = 0 \\hspace{1cm} \\forall r \\in \\mathcal{R}^{cons}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "def milp():\n", - " \"\"\"small MILP test\n", - "\n", - " Returns:\n", - " pyomo.ConcereteModel: pyomo model\n", - " \"\"\"\n", - " price_factor = pandas.DataFrame(data={'resource1': [0.5, 0.5, 0.5]})\n", - " demand_factor = pandas.DataFrame(data={'resource2': [0.5, 0.5, 1]})\n", - " capacity_factor = pandas.DataFrame(data={'process2': [1, 0.5, 1]})\n", - " scales = TemporalScale(discretization_list=[1, 3])\n", - " resource1 = Resource(name='resource1', cons_max=100, price=10)\n", - " resource2 = Resource(name='resource2', demand=True,\n", - " varying=VaryingResource.DETERMINISTIC_DEMAND)\n", - " process1 = Process(name='process1', storage=resource2, capex=1000,\n", - " fopex=100, vopex=100, prod_max=100, store_max=100)\n", - " process2 = Process(name='process2', conversion={resource1: -0.5, resource2: 1}, capex=1000,\n", - " fopex=100, vopex=100, prod_max=100, varying=VaryingProcess.DETERMINISTIC_CAPACITY)\n", - " place = Location(name='place', processes={process1, process2},\n", - " demand_factor={resource2: demand_factor}, capacity_factor={process2: capacity_factor}, price_factor={resource1: price_factor},\n", - " expenditure_scale_level=0, price_scale_level=1, capacity_scale_level=1, demand_scale_level=1,\n", - " scales=scales, label='some place')\n", - " case = Scenario(name='case', network=place,\n", - " expenditure_scale_level=0, purchase_scale_level=1, network_scale_level=0, demand_scale_level=1, scheduling_scale_level=1,\n", - " scales=scales, demand={place: {resource2: 100}})\n", - " constraints = {Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE, Constraints.NETWORK}\n", - " objective = Objective.COST\n", - " return case, formulate(scenario=case, constraints=constraints, objective=objective, objective_resource=resource2)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint process capex\n", - "constraint process fopex\n", - "constraint process vopex\n", - "constraint process incidental\n", - "constraint location capex\n", - "constraint location fopex\n", - "constraint location vopex\n", - "constraint location incidental\n", - "constraint network capex\n", - "constraint network fopex\n", - "constraint network vopex\n", - "constraint network incidental\n", - "constraint nameplate inventory\n", - "constraint storage max\n", - "constraint storage min\n", - "constraint production mode\n", - "constraint nameplate production\n", - "constraint production max\n", - "constraint production min\n", - "constraint inventory balance\n", - "constraint resource consumption\n", - "constraint resource purchase\n", - "constraint location production\n", - "constraint location discharge\n", - "constraint location consumption\n", - "constraint location purchase\n", - "constraint network production\n", - "constraint network discharge\n", - "constraint network consumption\n", - "constraint network purchase\n", - "constraint storage facility\n", - "constraint production facility\n", - "constraint min production facility\n", - "constraint min storage facility\n", - "constraint demand\n", - "objective cost\n" - ] - } - ], - "source": [ - "scenario, MILP = milp()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 83 rows, 71 columns and 177 nonzeros\n", - "Model fingerprint: 0x6c7eff92\n", - "Variable types: 67 continuous, 4 integer (4 binary)\n", - "Coefficient statistics:\n", - " Matrix range [5e-01, 1e+03]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [5e+01, 1e+02]\n", - "Presolve removed 83 rows and 71 columns\n", - "Presolve time: 0.00s\n", - "Presolve: All rows and columns removed\n", - "\n", - "Explored 0 nodes (0 simplex iterations) in 0.01 seconds (0.00 work units)\n", - "Thread count was 1 (of 8 available processors)\n", - "\n", - "Solution count 1: 131000 \n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective 1.310000000000e+05, best bound 1.310000000000e+05, gap 0.0000%\n" - ] - } - ], - "source": [ - "results = solve(scenario=scenario, instance=MILP, solver='gurobi', name='LP')\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/small/small.ipynb b/examples/small/small.ipynb deleted file mode 100644 index c2f14c50..00000000 --- a/examples/small/small.ipynb +++ /dev/null @@ -1,1474 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Small energy systems example" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "__author__ = \"Rahul Kakodkar\"\n", - "__copyright__ = \"Copyright 2023, Multi-parametric Optimization & Control Lab\"\n", - "__credits__ = [\"Rahul Kakodkar\", \"Efstratios N. Pistikopoulos\"]\n", - "__license__ = \"MIT\"\n", - "__version__ = \"1.1.0\"\n", - "__maintainer__ = \"Rahul Kakodkar\"\n", - "__email__ = \"cacodcar@tamu.edu\"\n", - "__status__ = \"Complete\"\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A simple problem with three processes\n", - "\n", - "- Solar Photovoltaics with varying capacity factor (PV)\n", - "- Wind Farm with varying capacity factor (WF)\n", - "- Lithium-ion battery storage (LiI)\n", - "- Lithium-ion battery storage dicharge [generated implicitly] (LiI_discharge)\n", - "\n", - "\n", - "Required resources are:\n", - "\n", - "- Solar energy\n", - "- Wind energy\n", - "- Power with varying demand\n", - "- LiI_Power_stored [generated implicity]\n", - "\n", - "The problem is modeled over two scales (0,1), with 1 and 4 discretizations respectively\n", - "\n", - "- 0, network scale with 1 time period\n", - "- 1, scheduling and demand scales with 4 time periods" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Nomenclature**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The sets and variables used are stated here\n", - "\n", - "*Sets*\n", - "\n", - "\n", - "- $\\mathcal{R}$ - set of all resources r\n", - "- $\\mathcal{P}$ - set of all processes p\n", - "- $\\mathcal{T}$ - set of temporal periods p\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Subsets*\n", - "\n", - "- $\\mathcal{R}^{storage}$ - set of resources that can be stored\n", - "- $\\mathcal{R}^{sell}$ - set of resources that can be discharged\n", - "- $\\mathcal{R}^{demand}$ - set of resources that meet demand\n", - "- $\\mathcal{R}^{cons}$ - set of resources that can be consumed\n", - "- $\\mathcal{T}$ - set of temporal periods \n", - "- $\\mathcal{T}^{net}$ - set of temporal periods t for network level decision making\n", - "- $\\mathcal{T}^{sch}$ - set of temporal periods t for schedule level decision making\n", - "\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "*Continuous Variables*\n", - "\n", - "- $P_{p,t}$ - production level of p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $C_{r,t}$ - consumption of r $\\in$ $\\mathcal{R}^{cons}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $S_{r,t}$ - discharge of r $\\in$ R\\ $\\mathcal{R}^{demand}$ time period t $\\in$ $\\mathcal{T}^{sch}$ \n", - " \n", - "- $Inv_{r,t}$ - inventory level of r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{sch}$\n", - " \n", - "- $Cap^{S}_{r,t}$ - installed inventory capacity for resource r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " \n", - "- $Cap^{P}_{p,t}$ - installed production capacity for process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - " " - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Parameters*" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- $Cap^{P-max}_{p,t}$- maximum production capacity of process p $\\in$ $\\mathcal{P}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Cap^{S-max}_{r,t}$- maximum inventory capacity for process r $\\in$ $\\mathcal{R}^{storage}$ in time period t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Capex_{p,t}$ - capital expenditure for process p $\\in$ $\\mathcal{P}$ in time t $\\in$ $\\mathcal{T}^{net}$\n", - "- $Price_{r,t}$ - purchase price for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $C^{max}_{r,t}$ - maximum consumption availability for resource r $\\in$ $\\mathcal{R}^{cons}$ in time t $\\in$ $\\mathcal{T}^{sch}$\n", - "- $D_{r,t}$ - demand for resource r in $R^{sell}$ in time t $\\in$ $\\mathcal{T}^{sch}$" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**LP Formulation**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "Given is a general MILP modeling and optimization framework for simultaneous network design and scheduling for a single location problem.\n", - "\n", - "\\begin{equation}\n", - " min \\sum_{t \\in \\mathcal{T}^{net}} \\sum_{p \\in \\mathcal{P}} Capex_{p,t} \\times Cap^P_{p,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{r \\in \\mathcal{R}^{cons}} Price_{r,t} \\times C_{r,t} + \\sum_{t \\in \\mathcal{T}^{sch}} \\sum_{p \\in \\mathcal{P}} Vopex_{r,t} \\times P_{r,t} \n", - "\\end{equation}\n", - "\n", - "\n", - "\\begin{equation}\n", - " Cap^S_{r,t} \\leq Cap^{S-max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " Cap^P_{p,t} \\leq Cap^{P-max}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{net}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " P_{p,t} \\leq Cap^{P}_{p,t} \\hspace{1cm} \\forall p \\in \\mathcal{P}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\\begin{equation}\n", - " Inv_{r,t} \\leq Cap^{S}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}^{storage}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation} \n", - "\n", - "\n", - "\\begin{equation}\n", - " - S_{r,t} \\leq - D_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " C_{r,t} \\leq C^{max}_{r,t} \\hspace{1cm} \\forall r \\in \\mathcal{R}, t \\in \\mathcal{T}^{sch}\n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " \\sum_{p \\in \\mathcal{P}} P_{l,p,t} \\times \\eta(p,r) + C_{l,r,t} + Inv_{l,r,t-1}= Inv_{l,r,t} + S_{l,r,t} \n", - "\\end{equation}\n", - "\n", - "\\begin{equation}\n", - " S_{r,t}, C_{r,t}, Inv_{r,t}, P_{p,t}, Cap^P_p, Cap^S_r \\in R_{\\geq 0}\n", - "\\end{equation}\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Import modules**" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../src')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas\n", - "from energiapy.components.temporal_scale import TemporalScale\n", - "from energiapy.components.resource import Resource, VaryingResource\n", - "from energiapy.components.process import Process, ProcessMode, VaryingProcess\n", - "from energiapy.components.location import Location\n", - "from energiapy.components.scenario import Scenario\n", - "from energiapy.components.result import Result\n", - "from energiapy.model.formulate import formulate, Constraints, Objective\n", - "from energiapy.plot import plot_results, plot_scenario\n", - "from energiapy.plot.plot_results import CostY, CostX\n", - "from energiapy.model.solve import solve\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Input Data**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Factors are normalized, and can be used to account for:\n", - "\n", - "- variable resource demand (demand_factor)\n", - "- intermittent resource availability (capacity factor)\n", - "- varying resource purchase cost (cost factor)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "demand_factor = pandas.DataFrame(data={'Power': [0.6, 0.7, 0.8, 0.3]})\n", - "revenue_factor = pandas.DataFrame(data={'Power': [0.8, 0.9, 0.94, 0.96]})\n", - "capacity_factor_pv = pandas.DataFrame(data={'PV': [0.6, 0.8, 0.9, 0.7]})\n", - "capacity_factor_wf = pandas.DataFrame(data={'WF': [0.9, 0.8, 0.5, 0.7]})\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare temporal scale**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Consider four seasons in a year.\n", - "\n", - "Network decisions are taken annually (scale level 0)\n", - "\n", - "Scheduling decisions are taken seasonally (scale level 1)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "scales = TemporalScale(discretization_list=[1, 4])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare resources**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Resources can be declared with attributes such as maximum consumption (cons_max), resource price (price), maximum allowed inventory (store_max)\n", - "\n", - "As also whether they can be discharged (sell), have to meet demand (demand)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "Solar = Resource(name='Solar', cons_max=100, basis='MW', label='Solar Power')\n", - "\n", - "Wind = Resource(name='Wind', cons_max=100, basis='MW', label='Wind Power')\n", - "\n", - "Power = Resource(name='Power', basis='MW', demand=True,\n", - " label='Power generated', varying=[VaryingResource.DETERMINISTIC_DEMAND, VaryingResource.DETERMINISTIC_REVENUE], revenue = 800000)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare processes**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Processes consume resources and can be of three type:\n", - "\n", - "- storage, if storage = some_resource \n", - "- single mode, as with the processes defined here wherein a conversions are provided\n", - "- multi mode, if a multiconversion dict is provided" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "LiI = Process(name='LiI', storage=Power, capex=1302182, fopex=41432, vopex=2000,\n", - " prod_max=100, prod_min=0, store_max=100, label='Lithium-ion battery', basis='MW')\n", - "\n", - "WF = Process(name='WF', conversion={Wind: -1, Power: 1}, capex=990637, fopex=3354, vopex=4953,\n", - " prod_max=100, prod_min=0, label='Wind mill array', varying=[VaryingProcess.DETERMINISTIC_CAPACITY], basis='MW')\n", - "\n", - "PV = Process(name='PV', conversion={Solar: -1, Power: 1}, capex=567000, fopex=872046, vopex=90000,\n", - " prod_max=100, prod_min=0, varying= [VaryingProcess.DETERMINISTIC_CAPACITY], label='Solar PV', basis='MW')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare location**\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Locations are essentially a set of processes, the required resources are collected implicitly.\n", - "\n", - "Location-wise capacity, demand, and cost factors can be provided. \n", - "\n", - "The scales of the capacity and demand data need to be provided as well." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "place = Location(name='place', processes={LiI, PV, WF}, demand_factor={Power: demand_factor}, capacity_factor={PV: capacity_factor_pv, WF: capacity_factor_wf},\n", - " revenue_factor={Power:revenue_factor} , capacity_scale_level=1, demand_scale_level=1, scales=scales, label='some place')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Declare scenario**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The combination of parameter data, locations, and transportation options generates a scenario. \n", - "\n", - "Scenarios are data sets that can be fed to models for analysis. \n", - "\n", - "In this case we are generating a scenario for the location houston. The scales need to be consistent.\n", - "\n", - "The demand, network, scheduling, and expenditure scales need to be provided. They all default to 0." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "case = Scenario(name='case', network=place, demand_scale_level=1, network_scale_level=0,\n", - " scheduling_scale_level=1, purchase_scale_level= 1, capacity_scale_level = 1, scales=scales, demand={place: {Power: 180}}, label='small scenario')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'Solar': 0, 'Power': 0, 'Wind': 0}}" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.price" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'Power': {(0, 0): 0.8333333333333334,\n", - " (0, 1): 0.9375000000000001,\n", - " (0, 2): 0.9791666666666666,\n", - " (0, 3): 1.0}}}" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.revenue_factor" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Plot conversion factors**" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.capacity_factor(\n", - " scenario=case, location=place, process=PV, fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV capacity factor](plots/cf_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.revenue_factor(\n", - " scenario=case, location=place, resource=Power, fig_size=(9, 5), color='orange')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_scenario.capacity_factor(\n", - " scenario=case, location=place, process=WF, fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![WF capacity factor](plots/cf_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_scenario.demand_factor(\n", - " scenario=case, location=place, resource=Power, fig_size=(9, 5), color='red')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Power demand factor](plots/df_power.png)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Formulate LP**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be formulated using different constraints and objectives.\n", - "\n", - "milp is a pyomo instance, additional constraints can be provided in a bespoke manner" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Capex_process(LiI) <= Capex_processMAX\n", - "Capex_process(LiI_discharge) <= Capex_processMAX\n", - "Capex_process(PV) <= Capex_processMAX\n", - "Capex_process(WF) <= Capex_processMAX\n", - "Fopex_process(LiI) <= Fopex_processMAX\n", - "Fopex_process(LiI_discharge) <= Fopex_processMAX\n", - "Fopex_process(PV) <= Fopex_processMAX\n", - "Fopex_process(WF) <= Fopex_processMAX\n", - "Vopex_process(LiI) <= Vopex_processMAX\n", - "Vopex_process(LiI_discharge) <= Vopex_processMAX\n", - "Vopex_process(PV) <= Vopex_processMAX\n", - "Vopex_process(WF) <= Vopex_processMAX\n", - "Incidental_process(LiI) <= Incidental_processMAX\n", - "Incidental_process(LiI_discharge) <= Incidental_processMAX\n", - "Incidental_process(PV) <= Incidental_processMAX\n", - "Incidental_process(WF) <= Incidental_processMAX\n", - "Capex_location(LiI) <= Capex_locationMAX\n", - "Capex_location(LiI_discharge) <= Capex_locationMAX\n", - "Capex_location(PV) <= Capex_locationMAX\n", - "Capex_location(WF) <= Capex_locationMAX\n", - "Vopex_location(LiI) <= Vopex_locationMAX\n", - "Vopex_location(LiI_discharge) <= Vopex_locationMAX\n", - "Vopex_location(PV) <= Vopex_locationMAX\n", - "Vopex_location(WF) <= Vopex_locationMAX\n", - "Fopex_location(LiI) <= Fopex_locationMAX\n", - "Fopex_location(LiI_discharge) <= Fopex_locationMAX\n", - "Fopex_location(PV) <= Fopex_locationMAX\n", - "Fopex_location(WF) <= Fopex_locationMAX\n", - "Incidental_location(LiI) <= Incidental_locationMAX\n", - "Incidental_location(LiI_discharge) <= Incidental_locationMAX\n", - "Incidental_location(PV) <= Incidental_locationMAX\n", - "Incidental_location(WF) <= Incidental_locationMAX\n", - "Capex_network(LiI) <= Capex_networkMAX\n", - "Capex_network(LiI_discharge) <= Capex_networkMAX\n", - "Capex_network(PV) <= Capex_networkMAX\n", - "Capex_network(WF) <= Capex_networkMAX\n", - "Vopex_network(LiI) <= Vopex_networkMAX\n", - "Vopex_network(LiI_discharge) <= Vopex_networkMAX\n", - "Vopex_network(PV) <= Vopex_networkMAX\n", - "Vopex_network(WF) <= Vopex_networkMAX\n", - "Fopex_network(LiI) <= Fopex_networkMAX\n", - "Fopex_network(LiI_discharge) <= Fopex_networkMAX\n", - "Fopex_network(PV) <= Fopex_networkMAX\n", - "Fopex_network(WF) <= Fopex_networkMAX\n", - "Incidental_network(LiI) <= Incidental_networkMAX\n", - "Incidental_network(LiI_discharge) <= Incidental_networkMAX\n", - "Incidental_network(PV) <= Incidental_networkMAX\n", - "Incidental_network(WF) <= Incidental_networkMAX\n", - "Inv<=Cap_S\n", - "Inv(LiI_Power_stored) <= InvMAX\n", - "Inv(LiI_Power_stored) <= InvMAX\n", - "Inv(LiI_Power_stored) <= InvMAX\n", - "Inv(LiI_Power_stored) <= InvMAX\n", - "Cap_S<=Cap_SMAX\n", - "Cap_S(LiI_Power_stored) <= Cap_SMAX\n", - "Cap_S>=MAX\n", - "Cap_S(LiI_Power_stored) <= Cap_SMAX\n", - "constraint production mode\n", - "P<=Cap_P\n", - "P(LiI) <= PMAX\n", - "P(LiI) <= PMAX\n", - "P(LiI) <= PMAX\n", - "P(LiI) <= PMAX\n", - "P(LiI_discharge) <= PMAX\n", - "P(LiI_discharge) <= PMAX\n", - "P(LiI_discharge) <= PMAX\n", - "P(LiI_discharge) <= PMAX\n", - "P<=(PARAM)*Cap_P\n", - "P(PV) <= PMAX\n", - "P(PV) <= PMAX\n", - "P(PV) <= PMAX\n", - "P(PV) <= PMAX\n", - "P(WF) <= PMAX\n", - "P(WF) <= PMAX\n", - "P(WF) <= PMAX\n", - "P(WF) <= PMAX\n", - "Cap_P<=Cap_PMAX\n", - "Cap_P(LiI) <= Cap_PMAX\n", - "Cap_P(LiI_discharge) <= Cap_PMAX\n", - "Cap_P(PV) <= Cap_PMAX\n", - "Cap_P(WF) <= Cap_PMAX\n", - "Cap_P>=MAX\n", - "Cap_P(LiI) <= Cap_PMAX\n", - "Cap_P(LiI_discharge) <= Cap_PMAX\n", - "Cap_P(PV) <= Cap_PMAX\n", - "Cap_P(WF) <= Cap_PMAX\n", - "constraint inventory balance\n", - "C<=CMAX\n", - "C(Solar) <= CMAX\n", - "C(Solar) <= CMAX\n", - "C(Solar) <= CMAX\n", - "C(Solar) <= CMAX\n", - "C(Wind) <= CMAX\n", - "C(Wind) <= CMAX\n", - "C(Wind) <= CMAX\n", - "C(Wind) <= CMAX\n", - "C<=CMAX\n", - "B==(PARAM)*C\n", - "B(Solar) <= BMAX\n", - "B(Solar) <= BMAX\n", - "B(Solar) <= BMAX\n", - "B(Solar) <= BMAX\n", - "B(Wind) <= BMAX\n", - "B(Wind) <= BMAX\n", - "B(Wind) <= BMAX\n", - "B(Wind) <= BMAX\n", - "B==(PARAM)*C\n", - "P_location(LiI) <= P_locationMAX\n", - "P_location(LiI_discharge) <= P_locationMAX\n", - "P_location(PV) <= P_locationMAX\n", - "P_location(WF) <= P_locationMAX\n", - "S_location(Power) <= S_locationMAX\n", - "C_location(Solar) <= C_locationMAX\n", - "C_location(Wind) <= C_locationMAX\n", - "B_location(Solar) <= B_locationMAX\n", - "B_location(Wind) <= B_locationMAX\n", - "P_network(LiI) <= P_networkMAX\n", - "P_network(LiI_discharge) <= P_networkMAX\n", - "P_network(PV) <= P_networkMAX\n", - "P_network(WF) <= P_networkMAX\n", - "S_network(Power) <= S_networkMAX\n", - "C_network(Solar) <= C_networkMAX\n", - "C_network(Wind) <= C_networkMAX\n", - "B_network(Solar) <= B_networkMAX\n", - "B_network(Wind) <= B_networkMAX\n", - "constraint network cost\n", - "R==(PARAM)*S\n", - "R==(PARAM)*S\n", - "R(Power) <= RMAX\n", - "R(Power) <= RMAX\n", - "R(Power) <= RMAX\n", - "R(Power) <= RMAX\n", - "R_location(Power) <= R_locationMAX\n", - "R_network(Power) <= R_networkMAX\n", - "objective profit\n" - ] - } - ], - "source": [ - "# lp = formulate(scenario=case, constraints={Constraints.COST, Constraints.INVENTORY,\n", - "# Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.COST)\n", - "lp = formulate(scenario=case, constraints={Constraints.COST, Constraints.INVENTORY,\n", - " Constraints.PRODUCTION, Constraints.RESOURCE_BALANCE}, objective=Objective.PROFIT)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_network_production : sums up production from process over all locations in network\n", - " Size=4, Index=constraint_network_production_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'LiI', 0) : 0.0 : P_network[LiI,0] - P_location[place,LiI,0] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0) : 0.0 : P_network[LiI_discharge,0] - P_location[place,LiI_discharge,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : P_network[PV,0] - P_location[place,PV,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : P_network[WF,0] - P_location[place,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "lp.constraint_network_production.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'LiI': {0: 100},\n", - " 'LiI_discharge': {0: 100},\n", - " 'PV': {0: 100},\n", - " 'WF': {0: 100}}}" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.prod_max" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'place': {'PV': {(0, 0): 0.6666666666666666,\n", - " (0, 1): 0.888888888888889,\n", - " (0, 2): 1.0,\n", - " (0, 3): 0.7777777777777777},\n", - " 'WF': {(0, 0): 1.0,\n", - " (0, 1): 0.888888888888889,\n", - " (0, 2): 0.5555555555555556,\n", - " (0, 3): 0.7777777777777777}}}" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "case.capacity_factor" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_resource_consumption_certain : restricts resource consumption to certain availablity\n", - " Size=8, Index=constraint_resource_consumption_certain_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'Solar', 0, 0) : -Inf : C[place,Solar,0,0] : 100.0 : True\n", - " ('place', 'Solar', 0, 1) : -Inf : C[place,Solar,0,1] : 100.0 : True\n", - " ('place', 'Solar', 0, 2) : -Inf : C[place,Solar,0,2] : 100.0 : True\n", - " ('place', 'Solar', 0, 3) : -Inf : C[place,Solar,0,3] : 100.0 : True\n", - " ('place', 'Wind', 0, 0) : -Inf : C[place,Wind,0,0] : 100.0 : True\n", - " ('place', 'Wind', 0, 1) : -Inf : C[place,Wind,0,1] : 100.0 : True\n", - " ('place', 'Wind', 0, 2) : -Inf : C[place,Wind,0,2] : 100.0 : True\n", - " ('place', 'Wind', 0, 3) : -Inf : C[place,Wind,0,3] : 100.0 : True\n" - ] - } - ], - "source": [ - "lp.constraint_resource_consumption_certain.pprint()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Solve**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To solve the model, the solve requires a scenario and a modeling instance to be provided. \n", - "\n", - "Also a solver needs to be chosen." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter QCPDual to value 1\n", - "Gurobi Optimizer version 10.0.1 build v10.0.1rc0 (win64)\n", - "\n", - "CPU model: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz, instruction set [SSE2|AVX|AVX2]\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "\n", - "Optimize a model with 151 rows, 110 columns and 372 nonzeros\n", - "Model fingerprint: 0x1ed0f939\n", - "Coefficient statistics:\n", - " Matrix range [6e-01, 1e+06]\n", - " Objective range [1e+00, 1e+00]\n", - " Bounds range [0e+00, 0e+00]\n", - " RHS range [1e+02, 1e+02]\n", - "Presolve removed 141 rows and 96 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 10 rows, 14 columns, 29 nonzeros\n", - "\n", - "Iteration Objective Primal Inf. Dual Inf. Time\n", - " 0 4.4978970e+08 3.759899e+01 0.000000e+00 0s\n", - " 10 2.1584107e+08 0.000000e+00 0.000000e+00 0s\n", - "\n", - "Solved in 10 iterations and 0.02 seconds (0.00 work units)\n", - "Optimal objective 2.158410741e+08\n" - ] - } - ], - "source": [ - "results = solve(scenario=case, instance=lp, solver='gurobi', name='LP')\n", - "# results = solve(scenario=case, instance=lp, solver='BARON', interface= 'gams', name='LP')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Models can be summarized as shown below:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_capex : calculates capex based on capacity of unit\n", - " Size=4, Index=constraint_process_capex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'LiI', 0) : 0.0 : Capex_process[place,LiI,0] - 1302182*Cap_P[place,LiI,0] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0) : 0.0 : Capex_process[place,LiI_discharge,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Capex_process[place,PV,0] - 567000*Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Capex_process[place,WF,0] - 990637*Cap_P[place,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "lp.constraint_process_capex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_fopex : calculates fixed opex based on capacity of unit\n", - " Size=4, Index=constraint_process_fopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'LiI', 0) : 0.0 : Fopex_process[place,LiI,0] - 41432*Cap_P[place,LiI,0] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0) : 0.0 : Fopex_process[place,LiI_discharge,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Fopex_process[place,PV,0] - 872046*Cap_P[place,PV,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Fopex_process[place,WF,0] - 3354*Cap_P[place,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "lp.constraint_process_fopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "constraint_process_vopex : calculates variable opex based on capacity of unit\n", - " Size=4, Index=constraint_process_vopex_index, Active=True\n", - " Key : Lower : Body : Upper : Active\n", - " ('place', 'LiI', 0) : 0.0 : Vopex_process[place,LiI,0] - 2000*P_location[place,LiI,0] : 0.0 : True\n", - " ('place', 'LiI_discharge', 0) : 0.0 : Vopex_process[place,LiI_discharge,0] - 2000*P_location[place,LiI_discharge,0] : 0.0 : True\n", - " ('place', 'PV', 0) : 0.0 : Vopex_process[place,PV,0] - 90000*P_location[place,PV,0] : 0.0 : True\n", - " ('place', 'WF', 0) : 0.0 : Vopex_process[place,WF,0] - 4953*P_location[place,WF,0] : 0.0 : True\n" - ] - } - ], - "source": [ - "lp.constraint_process_vopex.pprint()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'termination': 'optimal',\n", - " 'LB': 215841074.07407403,\n", - " 'UB': 215841074.07407403,\n", - " 'n_cons': 151,\n", - " 'n_vars': 110,\n", - " 'n_binvars': 0,\n", - " 'n_intvars': 0,\n", - " 'n_convars': 110,\n", - " 'n_nonzero': 372,\n", - " 'P': {('place', 'LiI', 0, 0): 0.0,\n", - " ('place', 'LiI', 0, 1): 0.0,\n", - " ('place', 'LiI', 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 3): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 2): 0.0,\n", - " ('place', 'LiI_discharge', 0, 3): 0.0,\n", - " ('place', 'PV', 0, 0): 66.66666666666666,\n", - " ('place', 'PV', 0, 1): 88.8888888888889,\n", - " ('place', 'PV', 0, 2): 100.0,\n", - " ('place', 'PV', 0, 3): 77.77777777777777,\n", - " ('place', 'WF', 0, 0): 100.0,\n", - " ('place', 'WF', 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 3): 77.77777777777777},\n", - " 'B': {('place', 'Solar', 0, 0): 0.0,\n", - " ('place', 'Solar', 0, 1): 0.0,\n", - " ('place', 'Solar', 0, 2): 0.0,\n", - " ('place', 'Solar', 0, 3): 0.0,\n", - " ('place', 'Wind', 0, 0): 0.0,\n", - " ('place', 'Wind', 0, 1): 0.0,\n", - " ('place', 'Wind', 0, 2): 0.0,\n", - " ('place', 'Wind', 0, 3): 0.0},\n", - " 'C': {('place', 'Solar', 0, 0): 66.66666666666666,\n", - " ('place', 'Solar', 0, 1): 88.8888888888889,\n", - " ('place', 'Solar', 0, 2): 100.0,\n", - " ('place', 'Solar', 0, 3): 77.77777777777777,\n", - " ('place', 'Wind', 0, 0): 100.0,\n", - " ('place', 'Wind', 0, 1): 88.8888888888889,\n", - " ('place', 'Wind', 0, 2): 55.55555555555556,\n", - " ('place', 'Wind', 0, 3): 77.77777777777777},\n", - " 'S': {('place', 'Power', 0, 0): 166.66666666666666,\n", - " ('place', 'Power', 0, 1): 177.7777777777778,\n", - " ('place', 'Power', 0, 2): 155.55555555555554,\n", - " ('place', 'Power', 0, 3): 155.55555555555554},\n", - " 'R': {('place', 'Power', 0, 0): 111111111.11111112,\n", - " ('place', 'Power', 0, 1): 133333333.33333337,\n", - " ('place', 'Power', 0, 2): 121851851.85185184,\n", - " ('place', 'Power', 0, 3): 124444444.44444443},\n", - " 'Inv': {('place', 'LiI_Power_stored', 0, 0): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 1): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 2): 0.0,\n", - " ('place', 'LiI_Power_stored', 0, 3): 0.0},\n", - " 'P_m': {('place', 'LiI', 0, 0, 0): 0.0,\n", - " ('place', 'LiI', 0, 0, 1): 0.0,\n", - " ('place', 'LiI', 0, 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 0, 3): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 2): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0, 3): 0.0,\n", - " ('place', 'PV', 0, 0, 0): 66.66666666666666,\n", - " ('place', 'PV', 0, 0, 1): 88.8888888888889,\n", - " ('place', 'PV', 0, 0, 2): 100.0,\n", - " ('place', 'PV', 0, 0, 3): 77.77777777777777,\n", - " ('place', 'WF', 0, 0, 0): 100.0,\n", - " ('place', 'WF', 0, 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 0, 3): 77.77777777777777},\n", - " 'Cap_P': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 100.0,\n", - " ('place', 'PV', 0): 100.0,\n", - " ('place', 'WF', 0): 100.0},\n", - " 'Cap_S': {('place', 'LiI_Power_stored', 0): 100.0},\n", - " 'P_location': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 333.33333333333337,\n", - " ('place', 'WF', 0): 322.22222222222223},\n", - " 'S_location': {('place', 'Power', 0): 655.5555555555555},\n", - " 'R_location': {('place', 'Power', 0): 490740740.7407407},\n", - " 'C_location': {('place', 'Solar', 0): 333.33333333333337,\n", - " ('place', 'Wind', 0): 322.22222222222223},\n", - " 'B_location': {('place', 'Solar', 0): 0.0, ('place', 'Wind', 0): 0.0},\n", - " 'P_network': {('LiI', 0): 0.0,\n", - " ('LiI_discharge', 0): 0.0,\n", - " ('PV', 0): 333.33333333333337,\n", - " ('WF', 0): 322.22222222222223},\n", - " 'S_network': {('Power', 0): 655.5555555555555},\n", - " 'R_network': {('Power', 0): 490740740.7407407},\n", - " 'C_network': {('Solar', 0): 333.33333333333337,\n", - " ('Wind', 0): 322.22222222222223},\n", - " 'B_network': {('Solar', 0): 0.0, ('Wind', 0): 0.0},\n", - " 'Fopex_process': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 87204600.0,\n", - " ('place', 'WF', 0): 335400.0},\n", - " 'Vopex_process': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 30000000.000000004,\n", - " ('place', 'WF', 0): 1595966.6666666667},\n", - " 'Capex_process': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 56700000.0,\n", - " ('place', 'WF', 0): 99063700.0},\n", - " 'Incidental_process': {('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 0.0,\n", - " ('place', 'PV', 0): 0.0,\n", - " ('place', 'WF', 0): 0.0},\n", - " 'Fopex_location': {('place', 0): 87540000.0},\n", - " 'Vopex_location': {('place', 0): 31595966.66666667},\n", - " 'Capex_location': {('place', 0): 155763700.0},\n", - " 'Incidental_location': {('place', 0): 0.0},\n", - " 'Fopex_network': {0: 87540000.0},\n", - " 'Vopex_network': {0: 31595966.66666667},\n", - " 'Capex_network': {0: 155763700.0},\n", - " 'Incidental_network': {0: 0.0},\n", - " 'Cost': {None: 274899666.6666667},\n", - " 'objective': 215841074.07407403}" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Results**" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Some handy plotting functions such as schedule can plot the consumption (C), sales(S), inventory schedules (Inv) for any resource, and production (P) for any process. Component can be either a process or resource. " - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='PV',\n", - " location='place', fig_size=(9, 5), color='orange')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![PV schedule](plots/sch_pv.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='WF',\n", - " location='place', fig_size=(9, 5), color='blue')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![WF schedule](plots/sch_wf.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='LiI',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI schedule](plots/sch_lii.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='P', component='LiI_discharge',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI charging schedule](plots/sch_lii_charge.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.schedule(results=results, y_axis='Inv', component='LiI_Power_stored',\n", - " location='place', fig_size=(9, 5), color='green')\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![LiI discharging schedule](plots/sch_lii_dcharge.png)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.CAPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Capex](plots/capex.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.FOPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Fopex](plots/fopex.png)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "plot_results.cost(results=results, x=CostX.PROCESS_WISE,\n", - " y=CostY.VOPEX, location='place', fig_size=(8, 6))\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "![Vopex](plots/vopex.png)\n" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Accessing results and inputs**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "All inputs are stored in results.component\n", - "\n", - "All outputs are stored in results.output\n", - "\n", - "Values can be accessed as shown below" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'LiI', 0): 0.0,\n", - " ('place', 'LiI_discharge', 0): 100.0,\n", - " ('place', 'PV', 0): 100.0,\n", - " ('place', 'WF', 0): 100.0}" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['Cap_P']\n" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{('place', 'LiI', 0, 0): 0.0,\n", - " ('place', 'LiI', 0, 1): 0.0,\n", - " ('place', 'LiI', 0, 2): 0.0,\n", - " ('place', 'LiI', 0, 3): 0.0,\n", - " ('place', 'LiI_discharge', 0, 0): 0.0,\n", - " ('place', 'LiI_discharge', 0, 1): 0.0,\n", - " ('place', 'LiI_discharge', 0, 2): 0.0,\n", - " ('place', 'LiI_discharge', 0, 3): 0.0,\n", - " ('place', 'PV', 0, 0): 66.66666666666666,\n", - " ('place', 'PV', 0, 1): 88.8888888888889,\n", - " ('place', 'PV', 0, 2): 100.0,\n", - " ('place', 'PV', 0, 3): 77.77777777777777,\n", - " ('place', 'WF', 0, 0): 100.0,\n", - " ('place', 'WF', 0, 1): 88.8888888888889,\n", - " ('place', 'WF', 0, 2): 55.55555555555556,\n", - " ('place', 'WF', 0, 3): 77.77777777777777}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "results.output['P']\n" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.10.5 ('ki': venv)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.5" - }, - "orig_nbformat": 4, - "vscode": { - "interpreter": { - "hash": "a4a97498e3c1bfef05f70a75d4fcafcb7b5c9c4ed86429a4e7bee46eaa890f24" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}